Networked Systems Laboratory

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Unmanned aerial systems, namely drones, have greatly improved and expanded drastically over the years. Due to their efficiency and ease of use, drones have been utilized in a wide range of applications. Despite various potential uses, drones are also being utilized for illegal operations and exposing security threats to citizens. It is vital to install an effective anti-drone system to identify and defend against intruding malevolent drones to protect national security. Although there has been tremendous advancement in the development of machine learning to deploy lightweight architectures in the sensor industry, no such drone detection approach has yet been described in the literature. Therefore, this paper proposed a lightweight convolution neural network (CNN), namely RFDNet, to investigate the problem of 17 types of drone RF fingerprint classification problems in the low SNR regime. The network is configured with two principle modules, which are leveraged by the grouped and depth-wise convolution layers, incorporating accuracy improvement while keeping the complexity low. Notably, most existing networks fail to outstandingly detect drones at low SNR levels because the RF signal envelope is distorted and the transient information is lost in the noise. To solve this issue, we collected an open-source RF dataset that stores 17 types of drone RF signals at 30 dB SNR. To investigate the RF dataset at various SNR levels, we regenerate the dataset at different SNRs (i.e., 
−
10
 dB to 30 dB SNR with the 5 dB interval) and analyze the performance of the proposed network. The empirical results show that RFDNet performed outstandingly compared to the existing deep learning-based drone detection methods and achieved an overall 99.07% accuracy at 15 dB signal-to-noise ratio (SNR).

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The widespread implementation of the Internet of Flying Things (IoFT) in several domains, such as military, industrial, and civilian, has emphasized their effectiveness in delivering adaptable and dynamic services. However, IoFT networks' growing interconnectivity and transparency make them susceptible to various malicious threats. Existing intrusion detection systems (IDS), especially those grounded on antiquated machine learning (ML) methods, face difficulty identifying real-time and abrupt assaults since they depend on obsolete datasets. Recent progress in Large Language Models (LLMs) has shown remarkable competencies in understanding complex data and tackling complicated challenges. In IoFT networks, these advancements could offer a potential solution to conventional IDS constraints.
Furthermore, distinct IDS solutions lack the robustness to protect IoFT networks from sophisticated threats, particularly when a single hacked node can endanger the entire network's security. This paper proposed a blockchain-aided LLM-based context-aware IDS for IoFT networks. Using LLM with context-aware capabilities, the proposed framework systems can analyze real-time network traffic, adapt to evolving threat contexts, and efficiently identify zero-day attacks. The proposed model achieves (98.47% and 98.12%)  accuracy on different datasets, demonstrating the advantages of using LLM models in detecting cyber-attacks. Furthermore, detecting threats is only one aspect of the proposed framework; effective mitigation is equally essential. A real-time incident response system is designed to address this, employing blockchain-aided smart contracts to mitigate detected attacks effectively. The proposed framework combines the dynamic learning of LLMs with the blockchain's decentralized and immutable nature to enhance the detection of unknown threats and ensure accurate identification and response.

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In conjunction with current deep learning networks, the potential for power anomaly detection in manufacturing systems has been turned into a realized task that serves the process efficiently and reliably. This paper proposes an ensemble model developed for anomaly detection within a manufacturing environment employing six convolutional neural network architectures: DenseNet121, EfficientNetB0, InceptionV3, ResNet50, VGG16, and Xception, over two datasets representing structural and logical anomalies, MVTec LOCO AD and MVTec AD. The proposed ensemble model can handle various issues associated with anomaly detection, which include class imbalance, poor variability of images, and model overfitting. A large dose of intensive data augmentation techniques and the use of Gaussian noise in a way that gives an overwhelming boost to the generalization of the models will be passed over. The models underwent multiple training iterations to optimize testing accuracy. The ensemble technique was employed to aggregate the results, culminating in the highest accuracy, precision, recall, and F1 scores achieved in the experiment. This approach demonstrated promising performance and increased model robustness and reliability. Additionally, it achieved approximately 98.15 and 97.56 AUROC on the MVTec LOCO AD and MVTec AD datasets, respectively.

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Marine tactical networks (MTNs) are essential for the safety and security of marine operations. Due to their sensitive nature, MTNs are susceptible to severe cyber risks, such as unauthorized access, data breaches, intrusion attacks. Traditional Intrusion Detection Systems (IDS) frequently have difficulties in effectively countering cyber threats in MTNs due to their static characteristics and restricted flexibility to changing threat environments. Thus, an IDS is vital for safeguarding MTNs from these vulnerabilities by proactively detecting and addressing threats. This paper proposes a novel blockchain-aided IDS for MTNs, leveraging reinforcement learning (RL) techniques. The proposed system aims to enhance the security and reliability of critical marine operations by effectively detecting and mitigating cyber threats. By integrating blockchain technology, the system ensures the integrity and immutability of intrusion detection data, preventing tampering and ensuring accountability. RL algorithms are employed to dynamically adapt the IDS's detection capabilities to evolving threat landscapes, improving its effectiveness and responsiveness. The key innovation of this proposed framework is integrating multi-agent adversarial RL, which enhances the model’s robustness and enables it to effectively identify and classify complex and dynamic threats within the MTNs. Experimental results demonstrate the superior performance of the proposed system in terms of detection accuracy, false positive rate, and computational efficiency compared to traditional IDS approaches. The proposed framework weighted accuracy of 80.16% and 95.9% for NSL-KDD and AWID datasets, respectively. This shows the robustness and applicability of the proposed model in complex MTN environments.

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The advancement of intelligent transport systems and the emergence of autonomous cars have the potential to reduce road accidents significantly. However, mountainous regions, like South Korea, are especially vulnerable to the threats of black ice formation in winter. Due to its near-invisibility and sudden formation, this translucent layer of ice is challenging to detect. It poses a severe risk to both human and autonomous drivers. Conventional approaches to monitoring road conditions frequently struggle to swiftly identify black ice, highlighting the need to advance more sophisticated sensing systems. This project aims to identify road surface conditions, including black ice, by integrating images and audio with sensor data, such as surface and ambient temperatures. The system utilizes convolutional neural networks (CNNs)-based multimodal system to analyze visual and acoustic data to detect road surface conditions.  The data was gathered over two years from a testbed set up in three separate terrains in South Korea. Subsequently, drivers are promptly notified of potential dangers on the road, thereby reducing the probability of accidents resulting from hazardous conditions.  The evaluation results indicate the efficacy of the suggested method, as the multimodal system achieves a 97\% accuracy rate in detecting black ice. The multimodal fusion system overcomes individual techniques' limitations, providing dependable early warnings for black ice and improving road safety.

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The immersive metaverse environment offers distinct social interactions and opportunities, yet it also presents significant challenges in securely managing misbehavior, including hate speech, bullying, and harassment. Existing solutions primarily focus on detecting such behavior through artificial intelligence but lack robust mechanisms for management and governance. This gap is critical as the metaverse continues to mirror complex real-world interactions and centralized authority systems prove vulnerable to compromise. Our research introduces a novel framework, Meta-Governance, which not only detects but also effectively manages and governs user behavior through smart contracts, ensuring a secure, fair, and transparent metaverse environment. The system incorporates behavior monitoring to identify and condemn inappropriate behavior, specifically targeting problems such as hate speech and cyberbullying. Occurrences of misbehavior are permanently preserved on the blockchain to ensure the capacity to trace and bear accountability. In this article, we deploy a Natural Language Processing (NLP) model and a smart contract-based framework to address unusual behavior monitoring, access control, and credit scoring. Deep learning models are used to identify and classify linguistic patterns that may be considered hazardous. Blockchain technology addresses virtual misconduct using smart contracts, while a distinctive credit scoring mechanism ensures that users are held responsible for making disrespectful statements. The efficacy of the proposed smart contract is comprehensively evaluated within the context of a private Hyperledger Besu system. The integration of AI and blockchain may greatly improve the security and inclusiveness of the metaverse, highlighting the crucial role of these technologies in combating hate speech and enhancing user engagement.

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The worldwide education landscape has transformed due to the COVID-19 pandemic, providing an opportunity to enhance virtual learning. Nevertheless, this transition has disadvantages, including less face-to-face interaction and the possibility of student seclusion. The metaverse, a digital realm, provides an optimal substitute for conventional virtual education. Nevertheless, its immersive nature poses issues for conventional digital learning management systems. This article proposes using blockchain technology and non-fungible tokens (NFTs) as unique identifiers to handle credentials and transactions in the metaverse while ensuring security effectively. This approach tackles difficulties associated with the administration of certificates, including issuing, maintaining records, ensuring traceability, and preserving integrity. Additionally, it establishes a fairly secure setting that effectively prevents data manipulation. The proposed approach entails the implementation of a smart contract that integrates a credential's transactions and an attribute-based access control mechanism. The research further addresses the challenge of limited storage resources caused by the dynamic nature of the metaverse and the requirement to manage huge quantities of data. The implementation results and applicability assessment confirm the feasibility of the proposed approach. Eventually, this study contributes to the ongoing discussion on the convergence of blockchain, NFTs, and smart contracts with its new perspective on digital learning management in the metaverse platform.

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Unmanned aerial vehicles (UAVs) have recently sparked attention in the logistics supply chain throughout the period. However, using UAVs in logistics has challenges related to security, data integrity, and trustworthiness in the healthcare industry. To address these issues, this paper introduces a blockchain-integrated scheme to improve the security and trustworthiness of medical supply delivery by leveraging UAVs. Blockchain, a distributed ledger system, enables transparent and reliable participant interactions. The proposed approach employs a sophisticated two-phase verification mechanism to tackle security concerns. The initial phase employs $\alpha-hash$ bloom filter to verify the integrity of data and identify any unauthorized senders. In the second step, digital signature methods authenticate the sender's identity, guaranteeing the data's integrity and prohibiting unauthorized entry. Smart contracts ensure transactions maintain trustworthiness, data integrity, and security without alteration. The InterPlanetary File System (IPFS) protocol addresses storage cost issues. Introducing the 5G-enabled Tactile Internet (TI) enhances communication by being more responsive and efficient. The proposed approach creates a credit scoring mechanism for UAV role selection to improve the delivery process swiftly. The scheme surpasses traditional systems in key performance metrics, and comparing the model's validity with several existing schemes illustrates the proposed scheme's efficacy and feasibility. This scheme could efficiently tackle challenges in providing unmanned medical supplies in smart healthcare systems using blockchain, smart contracts, IPFS, and TI.

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With the annual rise in the number of creative startup enterprises in the Manufacturing Execution System (MES), there is
a rising need for research on the job-shop scheduling problem(JSSP). JSSP, a complex NP-hard issue, aims to optimize
allocating scarce resources to improve production efficiency. JSS is employed in several sectors, such as warehouse order
packaging and manufacturing on production lines. During practical circumstances, the operating context might become
Complicated owing to dynamic events such as the delivery of tasks at different times, delays in job completion, machine
malfunctions, or unexpected incidents. A lot of scheduling heuristics, including dispatching rules, have been used to
make good schedules by effectively prioritizing candidates, like manufacturing machines. Recently, Artificial Intelligence
(AI), specifically Deep Reinforcement Learning (DRL), has proven advantageous in autonomously acquiring scheduling
heuristics for JSS, mostly because of its versatility, effectiveness, and efficiency. Regrettably, there is an insufficient
number of surveys accessible to analyze and evaluate the benefits and drawbacks of these active initiatives. This work
seeks to address this deficiency by undertaking a thorough investigation of Bio-inspired heuristic algorithms and different
types of AI algorithms for JSS. This article has provided a concise overview of the utilized learning models, primary
objectives, datasets, and performance metrics. The outcomes are presented in tabular format, which enables a clear and
concise exhibition of the discoveries. In addition, this article analyzes certain issues and hurdles to recommend specific
areas that may be targeted for the future advancement of autonomous scheduling heuristic design.

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Deep learning (DL)-based automatic modulation classification (AMC) is a primary research field for identifying modulation types. However, traditional DL-based AMC approaches rely on hand-crafted features, which can be time consuming and may not capture all relevant information in the signal. Additionally, they are centralized solutions that are trained on large amounts of data acquired from local clients and stored on a server, leading to weak performance in terms of correct classification probability. To address these issues, a federated learning (FL)-based AMC approach is proposed, called FL-MP-CNN-AMC, which takes into account the effects of multipath channels (reflected and scattered paths) and considers the use of a modified loss function for solving the class imbalance problem caused by these channels. In addition, hyper parameter tuning and optimization of the loss function are discussed and analyzed to improve the performance of the proposed approach. The classification performance is investigated by considering the effects of interference level, delay spread, scattered and reflected paths, phase offset, and frequency offset. The simulation results show that the proposed approach provides  excellent performance in terms of correct classification probability, confusion matrix, convergence and communication overhead when compared to contemporary methods.

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The rapid integration of the Internet of Artificial Intelligence and Internet of Things (AI-IoT) technologies has given rise to a pivotal element of the upcoming digital era, the Metaverse. This confluence has significantly impacted virtual learning platforms by introducing enhanced, immersive, and interactive environments for learners, educators, and institutions. However, the growing reliance on Metaverse necessitates robust cybersecurity measures to detect and mitigate cyber threats and ensure the safety of users. This paper proposes an explainable deep neural network (DNN) designed to identify and address network intrusion attacks within Metaverse learning environments. By leveraging the latest cybersecurity IoT datasets and employing an effective feature selection method, this study provides a visually interpretable, trustworthy, and quantitative explanation of the network intrusion detection system (NIDS) model using Shapley Additive exPlanations  (SHAP) and local interpretable model-agnostic explanation (LIME) explainability methods. The adopted explainable DNN, capable of processing network traffic features from interconnected Metaverse devices and IoT sensors, can facilitate accurate and comprehensible remediation of anomalous from benign activities within Metaverse. The NIDS model yields a high performing accuracy of 99.9%  for establishing a more secure and trustworthy metaverse learning environment. https://www.sciencedirect.com/science/article/pii/S2542660523003694

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Over the last few decades, technology has been improving dramatically and consequently transformed the standard of living and socio-economic conditions. The entire process will revolutionize when the next advanced technologies will be fully functional. Advanced technologies like the metaverse, Web 3.0, and others necessitate high computing power, invincible security, and ultra-fast internet. Despite increasing demand, traditional computing methods have limitations and are not capable of satisfying the requirements. To solve these tribulations, quantum computing is shining a light of hope. This survey aims to analyze the methodology, constraints, and potential of integrating quantum computing with the metaverse. We begin with an overview of quantum computing and related terms. We then investigate the feasibility of applying quantum-enabled technologies to enhance the metaverse. Furthermore, this survey also considers middleware for seamless conversion between traditional and quantum computing with the metaverse. In the subsequent phase of this survey, our objective is to discern and delineate the prospective application domains for the quantum-enabled metaverse. In essence, the difficulties of integrating quantum computing with the metaverse, present research approaches, and open research issues with consequences for additional in-depth investigations are highlighted.

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The heterogeneous connections in metaverse environments pose vulnerabilities to cyber-attacks. To prevent and mitigate malicious network activities in a distributed metaverse, conventional intrusion detection systems (IDS) have communication overhead and privacy concerns. Federated learning (FL) techniques are widely employed to develop IDS frameworks and enable privacy-preserving collaborative learning schemes in decentralized ecosystems. However, the vanilla FL system utilizes a centralized FL aggregation technique, which introduces a single point of failure (SPoF) and potential unauthorized aggregators, allowing malicious clients to inject false data parameters, known as poisoning attacks. Furthermore, low-quality clients in the FL system can result in degraded model performance and hinder convergence. This study proposes a secure and reliable blockchain-aided federated learning (BFL)-based IDS framework using a lightweight model for securing metaverse. An authorized federated IDS is proposed to establish a trustworthy decentralized aggregation mechanism, utilizing proof-of-authority (PoA) consensus. The proposed federated IDS implemented a hybrid client selection (HCS) technique, considering the accuracy and reputation of client histories, to select high-quality metaverse edge devices. Additionally, a fairness ERC-20 token-based incentive mechanism was developed to reward selected FL clients as a token of appreciation for their contribution to the FL training processes. According to the IDS framework measurements, the proposed model performs better than the existing approaches for detecting cyber-attacks in metaverse environments, achieving an accuracy of 99.28% with trainable parameters of 1.8K and mega floating-point operations (MFLOPs) of 0.0016.

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The Domain Name System (DNS) has evolved into an essential component of network communications, as well as a critical component of critical industrial systems (CIS) and Supervisory Control and Data Acquisition (SCADA) network connection. DNS over HTTPS (DoH) encapsulating DNS within HyperText Transfer Protocol Secure (HTTPS) does not eliminate network access exploitation. This paper proposes a hybrid deep learning model for the early classification of encoded network traffic into one of the two classes: DoH and NonDoH. They can be malicious, benign, or zero-day attacks. The proposed scheme incorporates the swiftness of the convolutional neural network (CNN) in extracting useful information and the ease of long short-term memory (LSTM) in learning long-term dependencies. The simulation results showed that the proposed approach accurately classifies the encoded network traffic as DoH or NonDoH and characterizes the traffic as benign, zero-day, or malicious. The proposed robust hybrid deep learning model had high accuracy and precision of 99.28%, recall of 99.75%, and AUC of 0.9975 at a minimal training and testing time of 745s and 0.000324s, respectively. In addition to outperforming other compared contemporary algorithms and existing techniques, the proposed technique significantly detects all attack types. This study also investigated the impact of the SMOTE technique as a tool for data balancing. To further validate the reliability of the proposed scheme, an industrial control system SCADA (ICS-SCADA) dataset, in addition to two (2) other cyber-security datasets (NSL-KDD and CICDS2017), were evaluated. Mathews correlation coefficient (MCC) was employed to validate the model performance, confirming the applicability of the proposed model in a critical industrial system such as SCADA.

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This study proposes secure federated learning (FL)-based architecture for the industrial internet of things (IIoT) with a novel client selection mechanism to enhance the learning performance. In order to secure the FL architecture and ensure that available clients are trustworthy, a certificate authority (CA) is adopted. In traditional FL, an aggregation technique known as federated averaging (FedAvg) is utilized to collect local model parameters by selecting a random subset of clients for the training process. However, the random selection may lead to uncertainty and negatively influence the overall FL performance. Moreover, state-of-the-art studies on client selection mainly rely on client’s additional information, which raises a privacy issue. Therefore, a novel client selection mechanism based on client evaluation accuracy called ACS is introduced in this work to improve FL performance while preserving client privacy. Unlike other client selection methods, ACS relies only on the updated local parameter, which is evaluated in the FL server. The proposed ACS considers the highest-performing clients to fasten the convergence time in the FL. Based on the extensive performance evaluation performed in this work using MNIST and F-MNIST datasets with non-independent identically distributed (non-IID) conditions, the adoption of ACS successfully improved the overall performance of FL in terms of accuracy and F1-score with an average of 4.62%. Furthermore, comparative analysis shows that the proposed ACS can achieve specific accuracy with 2.29% lower communication rounds and stable performance compared to other client selection mechanisms.

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#	Title	Status	Type
415	Sparsely Connected Low Complexity CNN for Unmanned Vehicles Detection - Sensing RF Signal IEEE Transactions on Vehicular Technology	Published	International
414	BELL-IDS: Blockchain-Empowered Large Language Model-Aided Context-Aware IDS in IoFT IEEE Internet of Things	Submitted	International
413	Advanced Anomaly Detection in Manufacturing System: An Optimized Multi-CNN Ensemble Learning Approach IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE	Under Review	International
412	Blockchain-Aided Intrusion Detection in Marine Tactical Network Using Reinforcement Learning IEEE Transactions on Network and Service Management	Under Review	International
411	BlackIceNet: Explainable AI-Enhanced Multimodal for Black Ice Detection to Prevent Accident in Intelligent Vehicles IEEE Internet of Things	Under Review	International
410	Blockchain Private Key Storage System for IoT device The Journal of Korean Institute of Communications and Information Science	Accepted	Domestic
409	Blockchain Private Key Storage System for IoT device The Journal of Korean Institute of Communications and Information Science	Accepted	Domestic
408	DroneGuard: An Explainable and Efficient Machine Learning Framework for Intrusion Detection in Drone Networks IEEE Internet of Things	Under Review	International
407	QFed: A Secure Federated Learning Framework for IoMT Using Quantum Cryptography IEEE Journal of Biomedical and Health Informatics	Under Review	International
406	Blockchain-Aided Intrusion Detection in Marine Tactical Network Using Reinforcement Learning IEEE Transactions on Network and Service Management	Preparation	International
405	Enhanced Anomaly Detection with Optimized Deep Learning in Manufacturing System ICT Express	Under Review	International
404	A Human-Centric Interactive Avatar Creation Framework using Motion Capture and Face Expression Detection in Metaverse The Journal of Korean Institute of Communications and Information Sciences	Accepted	Domestic
403	Pure Loyalty: Efficient and Secure Framework for NFT Loyalty Programs The Journal of Korean Institute of Communications and Information Science	Published	Domestic
402	Meta-Governance: Blockchain-Driven Metaverse Platform for Mitigating Misbehavior Using Smart Contract and AI IEEE Transactions on Network and Service Management	Published	International
401	Explainable Data-driven Digital Twins for Predicting Battery States in Electric Vehicles IEEE Access	Published	International
400	ASR-Fed: Agnostic Straggler-Resilient Semi-Asynchronous Federated Learning Technique for Secured Drone Network Journal of Machine Learning and Cybernetics	Published	International
399	Evaluating Regression Techniques for Service Advisor Performance Analysis in Automotive Dealerships Journal of Retailing and Consumer Services	Published	International
398	Leveraging Quantum Blockchain for Secure Multiparty Space Sharing and Authentication on Specialized Metaverse Platform Nature Scientific Reports	Accepted	International
397	Meta-Learning: A Digital Learning Management Framework using Blockchain for Metaverses IEEE Access	Accepted	International
396	BUS-Health: Blockchain and UAV Integrated Smart Medical Supplies Blockchain: Research and Applications	Minor Revision	International
395	AI-Based Job Shop Scheduling in Manufacturing Execution System: A Review Perspective Elsevier computers & industrial engineering	Submitted	International
394	Enhancing Security and Accountability in Autonomous Vehicles through Robust Speaker Identification and Blockchain-Based Event Recording MDPI Electronics	Published	International
393	Federated Learning Based Modulation Classification for Multipath Channels Parallel Computing	Published	International
392	RF-RSCV: Robust Security Framework Against Intrusions in Internet of Drone Communication Networks %Securing the Drone Network Based On Hierarchical Intrusion Detection System Using Efficient and Optimized Random-Forest Model Journal Of Communications and Networks	Minor Revision	International
391	ASR-Fed: Agnostic Straggler-Resilient Semi-Asynchronous Federated Learning Technique for Secured Drone Network International Journal of Machine Learning and Cybernetics	Minor Revision	International
390	MetaWatch: Trends, Challenges, and Future Directions for Intrusion Detection in the Metaverse IEEE Internet of Things	Under Review	International
389	Zero-Trust Marine Cyberdefense for IoT-Based Communications: An Explainable Approach Electronics	Published	International
388	Detecting Cyberthreats in Metaverse Learning Platforms using an Explainable DNN Internet of Things	Published	International
387	Integration of Quantum Technologies into Metaverse: Applications, Potentials, and Challenges IEEE Access	Published	International
386	Whale optimization-based PTS scheme for PAPR reduction in UFMC systems IET Communications	Published	International
385	Tamper-Resistant Collaborative Attack Detection using Efficient Blockchain for Securing IIoT IEEE Transactions on Industrial Informatics	Under Review	International
384	Dragonfly Interaction Algorithm for Optimization of Queuing Delay in Industrial Wireless Networks, 10.1007/s42235-023-00462-7 Bionic Engineering	Published	International
383	IoMT-Net: Blockchain Integrated Unauthorized UAV Localization Using Lightweight Convolution Neural Network for Internet of Military Things IEEE Internet Things of Journal	Accepted	International
382	Droneilliance and detection dynamics: A review of radar techniques and trends None	Preparation	International
381	Sanjay Bhardwaj, Da-Hye Kim and Dong-Seong Kim,” Federated Learning Based Resource Allocation for V2X Communications”. Transactions on Intelligent Transportation Systems	Minor Revision	International
380	Enhancing Reliability and Energy Efficiency for Industrial IoT using IRSA-PSO The Journal of Korean Institute of Communications and Information Sciences (J-KICS)	Published	Domestic
379	Paul Michael Custodio, Made Adi Paramartha Putra, Jae-Min Lee, and Dong-Seong Kim, "TLFed: Secure Smart Grid Transmission Line Fault Detection and Classification using Federated Learning", IEEE Transactions on Power Delivery, 2023 (Under Review) None	Preparation	International
378	PureRx: An NFT-Prescription Management for Efficient and Secure Healthcare System IEEE Transactions on Big Data Journal	Minor Revision	International
377	Collaborative Edge Learning-Assisted Interactive Avatar Generation for Metaverse in B5G Networks IEEE Internet of Things Journal	Under Review	International
376	XAI with Adversarial Defence for Zero-Trust Metaverse DDoS Attack Detection IEEE Transactions on Dependable and Secure Computing	Under Review	International
375	PureFed: An Efficient Collaborative and Trustworthy Blockchain-Assisted Federated Learning Framework with Dynamic Aggregation Internet of Things, Elsevier	Under Review	International
374	Bandit Learning based Distributed Computation Offloading in Fog Computing Networks: A survey IEEE Access	Accepted	International
373	Blockchain-Inspired Collaborative Cyber-Attacks Detection for Securing Metaverse IEEE Internet of Things Journal	Published	International
372	AI Model Stability in Industrial IoT Intrusion Detection: Leveraging the Characteristics Stability The Journal of Korean Institute of Communications and Information Sciences (J-KICS)	Published	Domestic
371	Federated Learning Inspired Low-Complexity Intrusion Detection and Classification Technique for SDN-based Industrial CPS IEEE Transactions on Network and Service Management	Published	International
370	Goodness Oluchi Anyanwu, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, Dong-Seong Kim, Optimization of RBF-SVM Kernel Using Grid Search Algorithm for DDoS Attack Detection in SDN-Based VANET," in IEEE Internet of Things Journal, vol. 10, no. 10, pp. 8477-8490, 15 May15, 2023, doi: 10.1109/JIOT.2022.3199712. None	Accepted	International
369	TSFed: A Three-Stage Optimization Mechanism for Secure and Efficient Federated Learning in Industrial IoT Networks IEEE Transactions on Industrial Informatics	Under Review	International
368	Blockchain-Empowered Federated Human Activity Recognition for Creating Interactive Consumer Avatar in Metaverse Platform IEEE Transactions on Customer Electronics	Preparation	International
367	MAD-DDS: Memory-efficient Automatic Discovery Data Distribution Service for Large-Scale Distributed Control Network IET Communications	Published	International
366	Machine Learning Explainability for Intrusion Detection in the Industrial Internet of Things IEEE Internet of Things Magazine	Under Review	International
365	Campus-based Test-Bed Implementation of 5G+ Networks at the 28 GHz Band: Challenges and Opportunities The Journal of Korean Institute of Communications and Information Sciences (J-KICS)	Published	Domestic
364	Sanjay Bhardwaj, Dong-Seong Kim,” Deep Q-Learning Based Sparse Code Multiple Access for Ultra Reliable Low Latency Communication in Industrial Wireless Networks”, Telecommunication Systems, volume:83, number:4, pages:409–421, Aug-2023: DOI: 10.1007/s11235-023-01034-0 None	Preparation	International
363	Made Adi Paramartha Putra, Ade Pitra Hermawan, Dong-Seong Kim and Jae-Min Lee, "Data Prediction-Based Energy-Efficient Architecture in Industrial IoT", IEEE Sensors Journal, vol. 23, no. 14, pp. 15856-15866, July 15, 2023, , doi: 10.1109/JSEN.2023.3280485 None	Accepted	International
362	Vivian Ukamaka Ihekoronye, Cosmas Ifeanyi Nwakanma, Dong-Seong Kim, Jae Min Lee "DATA-FedAVG: Delay-Aware Truncated Accuracy-Based Federated Averaging for Intrusion Detection in UAV Network", The Journal of Korean Institute of Communications and Information Sciences (KICS), vol. 48, no. 6, June 2023. None	Accepted	Domestic
361	Gabriel Avelino R. Sampedro, Syifa Maliah Rachmawati, Dong-Seong Kim, and Jae-Min Lee, "Exploring Machine Learning-Based Fault Monitoring for Polymer-Based Additive Manufacturing: Challenges and Opportunities", Sensors, Vol. 22, no. 23, 9446, 2022, doi: https://doi.org/10.3390/s22239446 None	Accepted	International
360	Simeon Okechukwu Ajakwe, Igboanusi Ikechi Saviour, Vivian Ukamaka Ihekoronye, Odinachi U. Nwankwo, Mohamed Abubakar Dini, Izuazu Urslla Uchechi, Dong-Seong Kim, Jae Min Lee. " Medical IoT Record Security and Blockchain: Survey of Milieu, Milestones, and Momentum" IEEE Communication Surveys and Tutorials, (N8, N12, N13) (Under Review) None	Preparation	International
359	Simeon Okechukwu Ajakwe, Igboanusi Ikechi Saviour, Jung-Hyeon Kim, Dong-Seong Kim, Jae Min Lee. "iBANDA: Incognito Blockchain-Assisted Network for Drone Authentication and Logistics Operations" IEEE Intelligent Transport System”, (N8, N12, N13) (Under Review) None	Preparation	International
358	Allwinnaldo, Revin Naufal Alief, Muhammad Rasyid Redha Ansori, Jae Min Lee, Dong-Seong Kim, "Efficient Blockchain-based Energy Auction Platform for Secured Energy Trading on Industrial Sector," in Journal of KICS 2023 (A) None	Accepted	Domestic
357	Revin Naufal Alief, Syifa Maliah Rachmawati, Jae Min Lee, Dong-Seong Kim, "Malicious Account Classification using CNN for Ethereum Blockchain's Accounts" in Journal of KICS 2023, Vol. 48, No. 7, 15 July 2023. None	Accepted	Domestic
356	Sanjay Bhardwaj, Da-Hye Kim and Dong-Seong Kim,” Backscatter-Enabled CR-NOMA Based Cooperative V2X Communication with Imperfect CSI”, Vehicular Communications, volume:42, pages:100611, 2023: https://doi.org/10.1016/j.vehcom.2023.100611 None	Preparation	International
355	P. T. Daely, J. M. Lee and D.-S. Kim, "Wireless Node Localization Based on Wild Goats Algorithm for Industrial Internet of Things", KICS Journal, vol 48, no. 9, 2023 (In press)) None	Accepted	Domestic
354	김재우,류원재,이재민,김동성 "군용 네트워크 설계 및 분석을 위한 네트워크 시뮬레이션 도구 분석", 정보과학회지, vol.41, no.3, pp.40-50, Mar., 2023 None	Preparation	Domestic
353	차중혁, 김형진, 이재민, 김동성, "스마트 국방 분산 시스템을 위한 메시지 지향 미들웨어 연구 동향", 정보과학회지, vol.41, no.3, pp.32-39, Mar., 2023 None	Preparation	Domestic
352	Ali Aouto, Ali Moallem, and Dong-Seong Kim, "Hybrid Demand Responsive Public Transport System for Conventional Public Transport in City Metropolitan Area" KICS journal (Accepted) None	Accepted	Domestic
351	Philip Tobianto Daely, Jae Min Lee, Dong-Seong Kim, "Vehicle Routing Based Mining for Proof-of-Useful-Work Blockchain", Journal of KICS (S) None	Submitted	Domestic
350	A Multi-MLP Prediction for Inventory Management in Manufacturing Execution System Internet of Things	Published	International
349	Vivian Ukamaka Ihekoronye, Cosmas Ifeanyi Nwakanma, Dong-Seong Kim, Jae Min Lee "Federated Learning-Based Intelligent Intrusion Detection Framework for Edge-Assisted UAV Network". IEEE Access (Rejected) None	Preparation	International
348	Nwankwo Odinachi Udemezuo, Shin Hee Jae, Ansori Mohammad Rasyid, Kim Young Won, Lee Jae-Hyun, Kim Dong-Seong, Lee Jae-Min "Blockchain Private Key Storage System using Nano IoT" (Rejected) None	Preparation	International
347	Paul Michael Custodio, Simeon Okechukwu Ajakwe , Jae Min Lee , Dong-Seong Kim " Intelligent Net-Metering Energy Prediction utilizing Optimized LSTM Neural Network Model" IEEE Transaction on Smart Grid (Processing) None	Preparation	International
346	Simeon Okechukwu Ajakwe, Ajakwe Ihunanya Udodiri, Dong Seong Kim, Taesoo JUn, Jae Min Lee, “CIS-WQMS: Connected Intelligence Smart Water Quality Monitoring Scheme”. Internet of Things Elsevier, https://doi.org/10.1016/j.iot.2023.100800 None	Accepted	International
345	Simeon Okechukwu Ajakwe, Dong Seong Kim, Jae Min Lee, “Drone Transportation System: Systematic Review of Security Dynamics for Smart Mobility”. IEEE Internet of Things Journal, vol. 10, no. 16, pp. 14462-14482, August 15, 2023, doi: 10.1109/JIOT.2023.3266843(N8 and N12) None	Accepted	International
344	Muhammad Rasyid Redha Ansori, Allwinnaldo, Revin Naufal Alief, Ikechi Saviour Igboanusi, Jae Min Lee, Dong-Seong Kim, "HADES: Hash-based Audio Copy Detection System for Copyright Protection in Decentralized Music Sharing," in IEEE Transactions on Network and Service Management, doi: 10.1109/TNSM.2023.3241610. None	Accepted	International
343	Simeon Okechukwu Ajakwe, Vivian Ukamaka Ihekoronye, Dong-Seong Kim, Jae Min Lee "Synergic Multimodal Malicious Drone Surveillance in Data-Centric Drone Transportation Network" IEEE ITS (Rejected but to Resubmit) None	Submitted	International
342	Simeon Okechukwu Ajakwe, Vivian Ukamaka Ihekoronye, Dong-Seong Kim, and Jae-Min Lee. 2023. "ALIEN: Assisted Learning Invasive Encroachment Neutralization for Secured Drone Transportation System" Sensors 23, no. 3: 1233. https://doi.org/10.3390/s23031233 None	Accepted	International
341	Mark Verana, Made Adi Paramartha Putra, Dong-Seong Kim, Jae Min Lee, "Real-time 3D Printing Anomaly Detection using Edge AI" (R) None	Preparation	International
340	Vivian Ukamaka Ihekoronye, Simeon Okechukwu Ajakwe, Cosmas Ifeanyi Nwakanma, Dong-Seong Kim, Jae Min Lee "Vision-Based Framework for Aerial Recognition of Drones and Birds in Ground-to-Air Networks" Elsevier IoT (Under Review) None	Preparation	International
339	Explainable Artificial Intelligence (XAI) for Intrusion Detection and Mitigation in Intelligent Connected Vehicles: A Review Applied Sciences	Published	International
338	Low Computational Cost Convolutional Neural Network for Smart Grid Frequency Stability PredictionLow Computational Cost Convolutional Neural Network for Smart Grid Frequency Stability Prediction Internet of Things	Published	International
337	Mohtasin Golam, Esmot Ara Tuli, Revin Naufal, Dong-Seong Kim, and Jae-Min Lee, "Meta-Learning: A Secure Distance Learning Approach Based on the Metaverse Platform Using Blockchain Technology", IEEE Transactions on Learning Technology. (Reject with New Submission Allowed) None	Preparation	International
336	Vivian Ukamaka Ihekoronye, Simeon Okechukwu Ajakwe, Dong-Seong Kim, Jae Min Lee "Efficient Intrusion Detection Model for Securing the Communication Links of Internet of Drone Network" IEEE Internet of Things (Under review) None	Under Review	International
335	Vivian Ukamaka Ihekoronye, Simeon Okechukwu, Dong-Seong Kim, Jae Min Lee "Enhanced Deep Learning Scheme Based On PANet for Real-Time Detection of Tomato Diseases" IEEE Intelligent Systems (Under review) None	Preparation	International
334	Vivian Ukamaka Ihekoronye, Simeon Okechukwu Ajakwe, Dong-Seong Kim, Jae Min Lee "RF-RSCV: Robust Security Framework Against Intrusions in Internet of Drone Communication Networks " Journal of Communications and Networks (Under review) None	Under Review	International
333	Vivian Ukamaka Ihekoronye, Cosmas Ifeanyi Nwakanma, Simeon Okechukwu Ajakwe, Dong-Seong Kim, Jae Min Lee "Federated Learning-Based Intelligent Intrusion Detection Framework for Edge-Assisted UAV Network" Winter Intensive 2023 None	Preparation	International
332	Made Adi Paramartha Putra, Ade Pitra Hermawan, Cosmas Ifeanyi Nwakanma, Dong-Seong Kim, Jae-Min Lee, "FDPR: A Novel Fog Data Prediction and Recovery using Efficient DL in IoT Networks", IEEE Internet of Things Journal, vol. 10, no. 19, pp. 16895-16906, October 2023, doi: 10.1109/JIOT.2023.3271026 None	Accepted	International
331	Made Adi Paramartha Putra, Revin Naufal Alief, Syifa Maliah Rachmawati, G.A. Sampedro, Dong-Seong Kim, Jae-Min Lee, "Proof-of-Authority-Based Secure and Efficient Aggregation with Differential Privacy for Federated Learning in Industrial IoT", Elsevier IoT, January 2023 (Under Review) None	Submitted	International
330	Md Javed Ahmed Shanto, Esmot Ara Tuli, Dong-Seong Kim, and Taesoo Jun "Deep Learning-Based Backlog Product Prediction for Metaverse Embedded Manufacturing Execution System"(Tentative) Winter Intensive 2023 None	Preparation	International
329	Blockchain-Empowered Distributed Aggregation for Secure and Efficient Federated Transfer Learning Intrusion Classification in IIoT Networks IEEE Internet of Things	Preparation	International
328	Esmot Ara Tuli, Mohtasin Golam, Rubina Akter, Jae-Min Lee, Dong-Seong Kim, "A Survey on Quantum Machine Learning Toward Future Technologies: Metaverse, Blockchain, Security, and Internet of Everything", Target: IEEE Communications Surveys & Tutorials, 2023 Winter Intensive(Pr) None	Preparation	International
327	Goodness Oluchi Anyanwu, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, Dong-Seong Kim, "RBF-SVM Kernel-based Model for Detecting DDoS Attacks in SDN Integrated Vehicular Network", Ad Hoc Networks, Vol. 140, No. 8, March 2023, 103026, https://doi.org/10.1016/j.adhoc.2022.103026 None	Accepted	International
326	Goodness Oluchi Anyanwu, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, Dong-Seong Kim, "Falsification Detection System for IoV using Randomized Search Optimization Ensemble Algorithm", IEEE Transactions on Intelligent Transport Systems, Vol. 24, no. 4, pp. 4158-4172, April 2023. Link: https://ieeexplore.ieee.org/document/10012276, doi: 10.1109/TITS.2022.3233536 None	Accepted	International
325	Classification and Characterization of Encoded Traffic in SCADA Network using Hybrid Deep Learning Scheme Journal of Communications and Networks (JCN)	Accepted	International
324	Goodness Oluchi Anyanwu, Jae Min Lee and Dong-Seong Kim, "Seoul-Simu: A Dataset for Evaluating Vehicular Traffic Misbehavior in an Asian Vehicular Traffic Scenario." - (Pr) None	Preparation	International
323	Syifa Maliah Rachmawati, Made Adi Paramartha Putra, Jae Min Lee, and Dong-Seong Kim, Digital Twin-Enabled 3D Printer Fault Detection for Smart Additive Manufacturing, Engineering Applications of Artificial Intelligence, Volume 124, September 2023, 106430, https://doi.org/10.1016/j.engappai.2023.106430 None	Accepted	International
322	ACS: Accuracy-Based Client Selection Mechanism for Federated Industrial IoT Internet of Things	Published	International
321	Love Allen Chijioke Ahakonye, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, Dong-Seong Kim, "A Contemporary Survey of SCADA Intrusion Detection Frameworks: Approaches, Challenges, and Open Issues", IEEE Survey and Tutorials (R) None	Major Revision	International
320	Trees Bootstrap Aggregation for Detection and Characterization of IoT-SCADA Network Traffic IEEE Industrial Informatics	Published	International
319	Agnostic CH-DT Technique for SCADA Network High-Dimensional Data-Aware Intrusion Detection System IEEE Internet of Things	Published	International
318	SCADA Intrusion Detection Scheme Exploiting the fusion of Modified Decision Tree and Chi-Square Feature Selection Internet of Things	Published	International
317	Prospects and challenges of Metaverse application in data-driven intelligent transportation systems IET Intelligent Transport System	Published	International
316	Judith Nkechinyere Njoku, Ebuka Chinaechetam Nkoro, Robin Matthew Medina, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, Dong-Seong Kim " Systematic Review of Digital Twin Applicability to Battery Management System: Case Study Approach", IEEE Transactions on intelligent Transportation Systems (Under Review) None	Preparation	International
315	Revin Naufal Alief, Jae Min Lee, and Dong-Seong Kim, "Blockchain-based Maintenance Record for Airline Industry (Tentative)", IEEE Transactions on Industrial Informatics, 2023 - Winter Intensive (Pr) None	Preparation	International
314	Yusuf Moallim, Jae-Min Lee and Dong-Seong Kim, "CNN-LSTM Model for Short-term Residential Load Prediction Using Reinforcement Learning" (Pr) None	Preparation	International
313	Robin Matthew Medina, Critical Features for Audio-Based Hate Speech Detection in the Metaverse - Winter Intensive (Pr) None	Preparation	International
312	Mark Verana, Made Adi Paramartha Putra, Dong-Seong Kim, Jae-Min Lee, "Real-time 3D Printing Anomaly Detection using Edge AI" None	Preparation	International
311	Ali Aouto, Jae-Min Lee and Dong-Seong Kim, "SortNet: Multivariate Energy Consumption Prediction Using Deep Learning For Smart Grids" (Pr) None	Preparation	International
310	Muhammad Rasyid Redha Ansori, Jae Min Lee, and Dong-Seong Kim, "NFT-based Audio Copyright Protection Framework (Tentative)", IEEE Transactions on Industrial Informatics, 2023 - Winter Intensive (Pr) None	Preparation	International
309	Vivian Ukamaka Ihekoronye, Simeon Okechukwu Ajakwe, Cosmas Ifeanyi Nwakama, Dong-Seong Kim, Jae Min Lee "Federated Learning-Based Intelligent Intrusion Detection Framework for Edge-Assisted UAV Network" 2023 Winter Intensive; IEEE Access (Tentative) None	Preparation	International
308	Izuazu urslla uchechi, Nwakanma Cosmas , Ajakwe Simeon Dong-Seong Kim, Jae-Min Lee "Multimodal Fusion-Based Model for hand Gesture Recognition in Robotic ", IEEE Access, 2023-Winter Intensive None	Preparation	International
307	Simeon Okechukwu Ajakwe, Vivian Ukamaka Ihekoronye, Dong-Seong Kim, Jae Min Lee "Synergic Multi-modal Malicious Drone Surveillance in Data-Centric Drone Transportation Network" IEEE Transaction on Vehicular Technology Journal (Processing) None	Preparation	International
306	Md Javed Ahmed Shanto, Esmot Ara Tuli, Love Allen Chijioke Ahakonye, Ahmad Zainudin, Jae-Min Lee, Dong-Seong Kim, and Taesoo Jun"Metaverse Embeded Inventory Management Solution for Manufacturing Execution System".(Tentative) Winter Intensive None	Preparation	International
305	Vivian Ukamaka Ihekoronye, Simeon Okechukwu Ajakwe, Dong-Seong Kim, Jae Min Lee "Vision-Based Framework for Aerial Recognition of Drones and Birds in Ground-to-Air Networks" Computer Vision and Image Understanding Journal (S) None	Preparation	International
304	Resource Allocation in Downlink VLC-NOMA Systems for Factory Automation Scenario Sensors	Published	International
303	Etobi Damian Tita, Jae-Min Lee and Dong-Seong Kim,"Blockchain Layer 2 Zero-Knowledge proofs: Perspectives and Challenges", IEEE Access, 2023-Winter Intensive None	Preparation	International
302	Judith Nkechinyere Njoku: Text-based Hate Speech Detection for Metaverse Applications using Deep Learning. - Winter Intensive - (Pr) None	Preparation	International
301	Ebuka Chinaechetam Nkoro, Judith Nkechinyere Njoku, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, and Dong-Seong Kim, Anonymous Network Traffic Detection and Classification in the metaverse using Machine Learning. - Winter Intensive - (Pr) None	Preparation	International
300	Artificial Intelligence for the Metaverse Engineering Applications of Artificial Intelligence	Published	International
299	Efficient Hybrid Task Offloading Scheme for Edge Computing in Dynamic Environments The Journal of Korean Institute of Communications and Information Sciences (J-KICS)	Published	Domestic
298	Edge Computing Based Framework for Next Generation Naval Ship Combat Systems The Journal of Korean Institute of Communications and Information Sciences (J-KICS)	Published	Domestic
297	Xuan-Qui Pham, Dong-Seong Kim et al., "Joint Partial Offloading and Resource Allocation for PVMEC" IEEE Transactions on Emerging Topics in Computing (Under Review) None	Preparation	International
296	Efficient Convolutional Networks for Robust Automatic Modulation Classification in OFDM-Based Wireless Systems IEEE Systems	Published	International
295	Vivian Ukamaka Ihekoronye, Simeon Okechukwu Ajakwe, Dong-Seong Kim, Jae Min Lee "RF-RSCV: Robust Security Framework Against Intrusions in Internet of Drone Communication Networks" Journal of Communications and Networks (Submitted) None	Under Review	International
294	Design of an In-Process Quality Monitoring Strategy for FDM-Type 3D Printer Using Deep Learning Applied Sciences	Accepted	International
293	Sanjay Bhardwaj, and Dong-Seong Kim,” Deep Q-Learning Based SCMA for URLLC in Industrial Wireless Networks”, Telecommunication Systems (TELS), 2022(Under Review) None	Preparation	International
292	Sanjay Bhardwaj, Da-Hye Kim and Dong-Seong Kim,” C-DRN Based Modulation Classification for Beyond 5G in Multipath Fading Channels”, IEEE Transction of Vehicular Technology, 2022(Under Review) None	Preparation	International
291	Sanjay Bhardwaj, Da-Hye Kim and Dong-Seong Kim,” Federated Learning Based Resource Allocation for V2X Communication”, IEEE Transaction of Vehicular Technology, 2022(Under Review) None	Preparation	International
290	Circular-based Reference Point Extraction Method for Correcting the Alignment of Round Parts Sensors	Published	International
289	Md. Sajjad Hossain, Cosmas Ifeanyi Nwakanma, Jae-Min Lee and Dong-Seong Kim " Real-Time Task Allocation and Edge Node Classification with Fault Tolerance for the Internet of Battlefield Things." IET Communications, 2022 (Major Revision) None	Preparation	International
288	Gabriel Avelino Sampedro, Danielle Jaye Agron, Gabriel Amaizo, Dong-Seong Kim, Jae Min Lee "Design of a In-process Quality Monitoring Scheme for FDM-type 3D Printer using Deep Learning Algorithm", Applied Sciences (Under Review) None	Preparation	International
287	Gabriel Avelino Sampedro, Dong-Seong Kim, Jae Min Lee "IIoT-Enabled Predictive Maintenance in Smart Additive Manufacturing Factory using 5G Communications". IEEE Internet of Things (Under Review) None	Preparation	International
286	Xuan-Qui Pham, Dong-Seong Kim et al., "Distributed Cloud: A Cloud Computing and Networking Convergence Perspective" IEEE Communications Magazine (In-progress) None	Preparation	International
285	Distributed Cloud Computing: Architecture, Enabling Technologies, and Open Challenges IEEE Consumer Electronics Magazine	Published	International
284	Mark Verana, Dong-Seong Kim, and Jae-Min Lee, "A deep Survey on Artificial Intelligence Approaches for 3D Printing Anomaly Detection" (Summer Intensive 2022), IEEE Transactions on Industrial Electronics (Pr) None	Preparation	International
283	Privacy-Enhanced Federated Learning-Based Intrusion Detection in Digital Twin-Enabled Industrial Cyber-Physical Systems IEEE Transactions on Industrial Informatics	Preparation	International
282	Partial Computation Offloading in PVEC: A Game-Theoretic Approach IEEE Transactions Vehicular Technology	Published	International
281	Yohana Jayanti Aruan, Made Adi Paramartha Putra, Adinda Riztia Putri, Philip Tobianto Daely, Dong-Seong Kim, and Jae Min Lee, "Backhaul Aggregator Design for Real-Time 3D Printer System," IEEE Communications Magazine (S) None	Preparation	International
280	Judith Nkechinyere Njoku, Cosmas Ifeanyi Nwakanma, Gabriel Chukwunonso Amaizu, and Dong-Seong Kim, Prospects and challenges of Metaverse application in data-driven intelligent transportation systems. IET Intell. Transp. Syst. 17, 1– 21 (2023). https://doi.org/10.1049/itr2.12252 IET ITS	Accepted	International
279	Gabriel Amaizu, Judith Njoku Dong-Soeng Kim "Metaverse in Advanced Manufacturing: Applications and Limitations" ICT Express- Submitted None	Submitted	International
278	Hoa Tran-Dang, Dong-Seong Kim: "Distributed Computation Offloading Approach for Heterogeneous Fog Networks", IEEE Internet of Things Journal (In progress) None	Preparation	International
277	Hoa Tran-Dang, Dong-Seong Kim:" Matching theory based distributed computation offloading in IoT-Fog-Cloud Systems: Review and Open Issues", IEEE Transaction on Parallel and Distributed (Under Review) None	Preparation	International
276	Hoa Tran-Dang, Dong-Seong Kim: " DCTO: Dynamic computation task offloading in fog computing systems", IEEE transaction on Distributed and Parallel (Under Review) None	Preparation	International
275	Made Adi Paramartha Putra, Dong-Seong Kim, and Jae-Min Lee, "Adaptive LRFU Replacement Policy for Named Data Network in Industrial IoT", ICT Express, Vol. 8, no. 2, pp.258-263, June 2022, DOI: 10.1016/j.icte.2021.10.004 None	Accepted	International
274	Vivian Ukamaka Ihekoronye, Simeon Okechukwu Ajakwe, Dong-Seong Kim, Jae Min Lee "Enhanced Deep Learning Scheme Based On PANet for Real-Time Detection of Tomato Diseases". IEEE Intelligent Systems (Under Review) None	Preparation	International
273	Yohana Jayanti Aruan, Made Adi Paramartha Putra, Adinda Riztia Putri, Philip Tobianto Daely, Jae-Min Lee, Dong-Seong Kim, Jae-Min Lee, "Backhaul Aggregator Design for Real-Time 3D Printer System", IEEE Communication Magazine (S) None	Preparation	International
272	Reinforcement Learning based Resource Management for Fog Computing Environment: Literature Review, Challenges, and Open Issues Journal of Communications and Networks (JCN)	Published	International
271	Goodness Oluchi Anyanwu, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, Dong-Seong Kim, Novel Hyper-Tuned Ensemble Random Forest Algorithm for the Detection of False Basic Safety Messages in Internet of Vehicles", ICT Express, Vol. 9, no.1, pp. 122-129, Doi: doi.org/10.1016/j.icte.2022.06.003 None	Accepted	International
270	Goodness Oluchi Anyanwu, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, Dong-Seong Kim, "Ensemble Random Forest-based Basic Safety Messages Falsification Detection in Internet of Vehicles.", IEEE Access (Minor Edits- Resubmit) None	Preparation	International
269	Simeon Okechukwu Ajakwe, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, Dong-Seong Kim, Key Wearable Device Technologies Parameters for Innovative Healthcare Delivery in B5G Network: A Review", IEEE Access, Vol. 10, pp. 49956-49974, May 9, 2022, doi: 10.1109/Access.2022.3173643 None	Accepted	International
268	Gabriel Avelino Sampedro, Danielle Jaye Agron, Gabriel Amaizu, Jae-Min Lee and Dong-Seong Kim,”Design of a In-process Quality Monitoring Scheme for FDM-type 3D Printer using Deep Learning Algorithm”, IEEE Transactions in Industrial Electronics, 2022(S) None	Preparation	International
267	Ann Janeth Garcia, Ali Aouto, Jae-Min Lee, Dong-Seong Kim, "CNN-32DC: An Improved Radar-based Drone Recognition System based on Convolutional Neural Network" ICT Express , Vol. 8, no. 4, pp. 606-610, December 2022, https://doi.org/10.1016/j.icte.2022.04.012 None	Accepted	International
266	Igboanusi, I.S., Allwinnaldo,A., Alief, R.N., Ansori, M.R.R., Lee, J.-M., Kim, D.-S."Smart auto mining (SAM) for industrial IoT blockchain network", IET Commun., Vol. 16, no. 18, pp. 2123-2132, November 2022. https://doi.org/10.1049/cmu2.12465 None	Accepted	International
265	Backup UAV-Based Multi-UAV Network Recovery Scheme Applying CSMA/CA The Journal of Korean Institute of Communications and Information Sciences (J-KICS)	Published	Domestic
264	An Efficient Hybrid-DNN for DDoS Detection and Classification in Software-Defined IIoT Networks IEEE Internet of Things	Published	International
263	Fabliha Bushra Islam, Jae-Min Lee and Dong-Seong Kim, "Smart Factory Floor Safety Monitoring using UWB Sensor", IET Science, Measurement & Technology, Vol. 16, no. 7, pp. 415-425, September, 2022. https://doi.org/10.1049/smt2.12114 None	Accepted	International
262	RanNet: Learning Residual-Attention Structure in CNNs for Automatic Modulation Classification IEEE Wireless Communications Letters	Published	International
261	MIMO-OFDM Modulation Classification Using Three-Dimensional Convolutional Network IEEE Transactions Vehicular Technology	Published	International
260	Learning-based Resource Management for Low-power and Lossy IoT Networks IEEE Internet of Things	Published	International
259	Compressed Time-Frequency Channel Beamforming Using Empirical MIMO-UWB RFs for Indoor Jobshop IEEE Sensors	Published	International
258	Hoa Tran-Dang, Dong-Seong Kim:" Shaping the Future of Logistics", IETE Technical Review (Major Revision) None	Under Review	International
257	Simeon Okechukwu Ajakwe, Vivian Ukamaka Ihekoronye, Dong-Seong Kim, Jae Min Lee, DRONET: Multi-Tasking Framework for Real-Time Industrial Facility Aerial Surveillance and Safety, Drones, vol. 6, no. 2, 46; https://doi.org/10.3390/drones6020046 None	Accepted	International
256	Reconfigurable Physical Resource Block using Novel Gm8211; C Beamforming Filter Circuit for LTE-based Cell-edge Terminals IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems	Published	International
255	Performance Enhancement of Optimized Link State Routing Protocol by Parameter Configuration for UANET Drones	Accepted	International
254	The Physical Internet in the Era of Digital Transformation: Perspectives and Open Issues IEEE Access	Published	International
253	Rubina Akter, Van-Sang Doan, Thien Huynh-The, and Dong-Seong Kim, “RFDOA-Net: An Efficient ConvNet for RF-based DOA Estimation in UAV Surveillance Systems”, IEEE Transactions on Vehicular Technology, vol.7, pp. 12209-12214, November 2021. DOI: 10.1109/TVT.2021.3114058 None	Accepted	International
252	On the Reliability of Industrial Internet of Things from Systematic Perspectives: Evaluation Approaches, Challenges, and Open Issues IETE Technical Review	Published	International
251	A Hybrid Deep Learning Model for Automatic Modulation Classification IEEE Wireless Communications Letters	Published	International
250	Made Adi Paramartha Putra, Ahakonye Love Allen Chijioke, Mark Verana, Dong Seong Kim, Jae Min Lee, "다중 블록 2D-컨볼루션 신경망을 이용한 효율적인 3D 프린터 출력 결함 분류 기법" (Efficient 3D Printer Fault Classification using Multi-Block 2D-Convolutional Neural Network), Journal of KICS, 2021 (A) None	Accepted	Domestic
249	자동 변조 분류를 위해 사전훈련된 딥러닝 네트워크를 활용한 이미지 기반 딥러닝 모델 설계(Design of Image-based Deep Learning Model Using Pre-Training Deep Learning Network) The Journal of Korean Institute of Communications and Information Sciences (J-KICS)	Published	Domestic
248	On the Performance Evaluations of Cooperative Retransmission Scheme for Cell-Edge Users of URLLC in Multi-Carrier Downlink NOMA Systems Sensors	Published	International
247	Mareska Pratiwi Maharani, Jae-Min Lee and Dong-Seong Kim, "Bearing Fault Detection using Autoencoder-LSTM for Smart Factory", IEEE Transactions on Industrial Informatics, 2021 (With editor)) None	Preparation	International
246	CNN-SSDI: Convolution Neural Network Inspired Surveillance System for UAVs Detection and Identification Computer Networks	Published	International
245	Automatic Modulation Classification: A Deep Architecture Survey IEEE Access	Published	International
244	Gabriel Amaizu, and Dong-seong Kim "Cost-Efficient DDoS Attack Detection: A Hybrid Filter-based Parameter Selection Scheme " ICT Express (S) None	Preparation	International
243	Shaharyar Kamal, Dong-Seong Kim, etc., “MS-DLD: Multi-Sensors based Daily Locomotion Detection via Kinematic-Static Energy and Body-Specific HMMs”, IEEE Access, September 2021. (In Revision) None	Under Review	International
242	Precise-Point-Positioning Estimations for Recreational Drones Using Optimized Cubature-Extended Kalman Filtering IEEE Access	Published	International
241	Tariq Rahim, and Dong Seong Kim, "Compressed Medical Imaging using Spread Spectrum Acquisition and BPDN-Based Sparsity Averaging for Iris Images", IEEE Access. (In Revision) None	Under Review	International
240	Accurate Deep CNN-based Waveform Recognition for Intelligent Radar Systems IEEE Communications Letters	Published	International
239	Love Allen Chijioke Ahakonye, Amaizu Gabriel Chukwunonso, Cosmas Ifeanyi Nwakanma, Jae Min Lee, Dong-Seong Kim, An Efficient Hybrid SCADA Network Vulnerability Detection and Characterization Technique. IEEE Transactions on Emerging Topics (R) None	Preparation	International
238	Sanjay Bhardwaj and Dong-Seong Kim, "Inception Based ResNet Autoenconder for B5G in Multipath Fading Channels". (S) None	Submitted	International
237	Hoa Tran-Dang, Dong-Seong Kim: " A distributed resource allocation algorithms for task offloading in fog-enabled IoT systems", ICT express (selected from ICUFN 2021) (Pr) None	Preparation	International
236	Xuan-Qui Pham et al., "Partial Computation Offloading in Parked Vehicle-assisted Multi-access Edge Computing: A Game-Theoretic Approach", IEEE Transactions On Vehicular Technology (In Revision) None	Under Review	International
235	Xuan-Qui Pham et al., "Distributed Cloud Computing: Concept, Architecture, Design Principles, and Open Challenges," IEEE Network (Pr) None	Preparation	International
234	Thien Huynh-The and Dong-Seong Kim, "RF-based Amateur Drone Surveillance for the Internet-of-Things with Deep Learning", IEEE Internet of Things Magazine. (S) None	Submitted	International
233	Thien Huynh-The, Dong-Seong Kim, etc., "Automatic Modulation Classification: A Deep Network Architecture Survey", IEEE Access, July 2021. (S) None	Submitted	International
232	Rubina Akter, Van-Sang Doan, Jae-Min Lee, and Dong-Seong Kim, “ Low-Complexity Convolution Neural Network for Accurate Arrival-of-Angle Estimation in Low SNR”, IEEE Wireless Communications Letters , 2021. (In revision) None	Preparation	International
231	Total Variant Based Average Sparsity Model with Reweighted Analysis for Compressive Sensing of Computed Tomography IEEE Access	Published	International
230	Ikechi Saviour Igboanusi, Kevin Putra Dirgantoro, Jae-Min Lee, Dong-Seong Kim, Blockchain side implementation of Pure Wallet (PW): An offline transaction architecture, ICT Express, Volume 7, Issue 3, 2021, Pages 327-334, ISSN 2405-9595, https://doi.org/10.1016/j.icte.2021.08.004. None	Accepted	International
229	Blockchain-Based Data Sharing Scheme to Enhance Reliability and Security for Naval Combat System The Journal of Korean Institute of Communications and Information Sciences (J-KICS)	Published	Domestic
228	김시완, 장민희, 이재민, 김동성, "Backup UAV-based Multi-UAV network recovery scheme applying CSMA/CA", Journal of KICS, 2021(In revision). None	Preparation	Domestic
227	Rubina Akter, Van-Sang Doan, Jae-Min Lee, and Dong-Seong Kim, “ Deep Learning-Based Surveillance System for Drones Detection and Activity Recognition”, IEEE Transactions on Vehicular Technology , 2021. (Pr) None	Preparation	International
226	Rubina Akter, Van-Sang Doan, Jae-Min Lee, and Dong-Seong Kim, “ Low-Complexity Convolution Neural Network for Accurate Arrival-of-Angle Estimation Based Object Localization”, IEEE Transactions on Industrial Informatics, 2021. (Pr) None	Preparation	International
225	차중혁, 이재민, 김동성, "BLE-based lightweight message-oriented middleware for Industrial IoT", Journal of KICS, 2021(pr). None	Preparation	Domestic
224	Mark Verana, Made Adi Paramartha Putra, Jae Min Lee, Dong Seong Kim, "Edge AI-based 3D Printer Monitoring and Fault Prediction", IEEE Transactions on Industrial Informatics, 2021 (Pr) None	Preparation	International
223	Adinda Riztia Putri, Mareska Pratiwi Maharani, Goodness Oluchi Anyanwu, Cosmas Ifeanyi Nwankanma, Jae Min-Lee and Dong Seong Kim, "Real-Time Fall Detection System using Embedded Machine Learning in Smart Spaces", IEEE Sensor Journal, 2021 (Pr) None	Preparation	International
222	Mareska Pratiwi Maharani, Jae-Min Lee and Dong-Seong Kim, "AI-Based Activity-Pattern Recognition in Smart Factory Floor", MDPI Applied Sciences journal, 2021 (Major Revisions) None	Preparation	International
221	Rubina Akter, Godwin Tunze, Jae Min Lee, and Dong Seong Kim, "An Efficient Convolution Neural Networks for RF-Based Drone Detection and Classification", IEEE IoT Journal, (Pr) None	Preparation	International
220	Mareska Pratiwi Maharani, Jae-Min Lee and Dong-Seong Kim, and "Bearing Fault Detection using Autoencoder-LSTM for SmartFactory", MDPI Sensors journal, 2021 (Resubmitted) None	Preparation	International
219	Cosmas Ifeanyi Nwakanma, Goodness Oluchi Anyanwu, Jae Min Lee , Dong-Seong Kim , "Thermal Array Sensor-Based Activity Detection in Smart Spaces using AI: A Review ", IEEE Sensors Journal, (Resubmitted) None	Preparation	International
218	A Long Short-Term Memory-Based Solar Irradiance Prediction Scheme Using Meteorological Data IEEE Geoscience and Remote Sensing Letters	Accepted	International
217	Thien Huynh-The, Dong-Seong Kim, etc., "MIMO-OFDM Modulation Classification Using Three-Dimensional Convolutional Network", IEEE Transactions on Vehicular Technology, November 2021. (In Revision) None	Submitted	International
216	Tariq Rahim, Muhammad Arslan Usman, Soo Young Shin, and Dong Seong Kim, "Comparing H.265/HEVC and VP9: Impact of High Frame Rates on the Perceptual Quality of Compressed Videos", IEEE Transactions on Multimedia. (Under review) None	Under Review	International
215	Ann Janeth Garcia, Jae-Min Lee, Dong-Seong Kim, "CNN-32DC: An Improved Radar-based Drone Recognition System based on Convolutional Neural Network" ICT Express (N8&N12) (Under Review) None	Preparation	International
214	Dong-Seong Kim, Arslan Musaddiq, "Regional Innovation at ICT Convergence Research Center", IEEE Transaction on Education, (Pr) None	Preparation	International
213	Etobi Damian Tita, Williams-Paul Nwadiugwu, Jae Min Lee, Dong-Seong Kim, "Real-time optimizations in energy profiles and end-to-end delay in WSN using two-hop information", Computer Communications, Vol. 172, pp. 169-182, April 2021. DOI : https://doi.org/10.1016/j.comcom.2021.02.007 (IF: 2.816) None	Accepted	International
212	Novel MIMO-UWB-Based AG-UG-AG Routing With Microbit Sensors for WUSN IEEE Sensors Letters	Published	International
211	Hoa Tran-Dang, Dong-Seong Kim:" Shaping the Future of Logistics", IETE Technical Review (Under Review), 2021 None	Preparation	International
210	A Smart Surveillance system for People Counting and Tracking using Particle Flow and Modified SOM Sustainability	Published	International
209	Inspection System for Vehicle Headlight Defects based on Convolutional Neural Network Applied Sciences	Published	International
208	Deep Learning-based Robust Automatic Modulation Classification for Cognitive Radio Networks IEEE Access	Published	International
207	하향 링크 NOMA에서 URLLC를 위한 유한블록길이 적용 유전알고리즘 기반의 다중셀 다지점 협력 통신 성능 평가(Performance Evaluation of Multi-cell CoMP based on Genetic Algorithm Applied to Finite Blocklength regime for URLLC in downlink Non-orthogonal Multiple Access) The Journal of Korean Institute of Communications and Information Sciences (J-KICS)	Published	Domestic
206	Agron, Danielle Jaye, Lee, Jae-Min, Kim, Dong-Seong, "Nozzle Thermal Estimation for Fused Filament Fabricating 3D Printer using Temporal Convolutional Neural Networks" Applied Sciences, Vol. 11, no. 14, 6424, July 2021, DOI: 10.3390/app11146424 None	Accepted	International
205	야생 동물 침입 방지를 위한 실시간 모니터링 플랫폼 설계 및 구현(Design and Implementation of Real-time Monitoring Platform for Preventing Wild Animals) The Journal of Korean Institute of Communications and Information Sciences (J-KICS)	Published	Domestic
204	FRATO: Fog Resource Adaptive Task Offloading for Minimizing IoT service provisioning IEEE Transactions on Parallel and Distributed Systems	Published	International
203	Sanjay Bhardwaj, Dong-Seong Kim,"Dragonfly Interaction Algorithm for Optimization of", Physical Communication, 2021,(Pr). None	Preparation	International
202	Sanjay Bhardwaj, Dong-Seong Kim,"C-DRN Based Modulation Classification for Beyond 5G in Multipath Fading Channels", IEEE Transaction of Communication, 2021,(Submitted). None	Preparation	International
201	Sanjay Bhardwaj, Dong-Seong Kim ,"Deep Q-Learning Based JT-CoMP for Resource Allocation Enabling eURLLC in Industrial Wireless Networks", Wireless Networks,2021, (Pr). None	Preparation	International
200	Design and implementation scheme of QSFP28 optical transceiver for long-reach transmission using PAM4 modulation Applied Sciences	Published	International
199	Accurate LPI Radar Wave for Recognition With CWD-TFA for Deep Convolutional Network, IEEE Wireless Communications Letters	Published	International
198	Edge AI Prospect using the NeuroEdge Computing System: Introducing a Novel Neuromorphic Technology ICT Express	Published	International
197	확장된 프레임을 적용한 딥러닝 기반 자동 변조 분류 설계(Design of Automatic Modulation Classification based on Deep Learning Technique Applying Extended Frame) The Journal of Korean Institute of Communications and Information Sciences (J-KICS)	Published	Domestic
196	Enhanced Faulty Node Detection with Interval Weighting Factor for Distributed Systems Journal of Communication and Networks	Published	International
195	Detection and Classification of Human Activity for Emergency Response in Smart Factory Shop Floor Applied Sciences	Published	International
194	Gabriel Amaizu, Cosmas Ifeanyi Nwakanma, Sanjay Bhardwaj, Jae-Min Lee and Dong-Seong Kim "Composite and Efficient DDoS Attack Detection Framework for B5G Networks", Computer Networks, Vol. 188, 107871, January 2021, DOI: https://doi.org/10.1016/j.comnet.2021.107871. None	Accepted	International
193	Efficient-spectrum management based on localization of primary user position towards 5G IET Communications	Published	International
192	Seung-Hwan Kim, Jae-Woo Kim, Williams-Paul Nwadiugwu and Dong-Seong Kim, "Deep Learning-based Robust Automatic Modulation Classification for Cognitive Radio Networks", IEEE Wireless Communications Letters, (IF: 4.660), 2020. (R) None	Submitted	International
191	Alifia Putri Anantha, Muhammad Rusyadi Ramli, Jae-Min Lee, and Dong-Seong Kim, "Deep Reinforcement Learning with Edge Computing in Faulty-Node Detection for Industrial Internet of Things", ICT Express, 2020 (R) None	Preparation	International
190	Williams-Paul Nwadiugwu and Dong-Seong Kim, "Drone-enabled JT-CoMP Mobile Consumer Terminals: Novel Beamforming Interfacing & Interference Coordination", IEEE Trans. on Consumer Electronics, 2021, (S) None	Submitted	International
189	Williams-Paul Nwadiugwu and Dong-Seong Kim, "Joint Physical Resource Block Architecture using Hybrid Beamforming for Mobile Base Station-to-UAV Cell-edges", IEEE TCAS II: Express Briefs, 2021, (S). None	Submitted	International
188	Williams-Paul and Dong-Seong Kim "Precise–Point–Positioning for Competing–game Drones using Hybrid Cubature+Extended KF", Applied Sciences, 2021, (S). None	Submitted	International
187	Godwin Brown Tunze, Thien Huynh-The, Jae-Min Lee, and Dong-Seong Kim,“Sparsely Connected CNN for Efﬁcient Automatic Modulation Recognition,” IEEE Trans. Veh. Technol., vol. 69, no. 12, pp. 15557–15568, Dec. 2020. None	Accepted	International
186	S. Karmal, H. Kang, C. A. A. Meza and D.-S. Kim, "Improved Dual Sinc Pulses to Reduce ICI Power and PAPR in OFDM-based Systems",KSII Transactions on Internet and Information Systems, vol.14, no.12, pp. 4927-4945, Dec. 2020. IF : 0.648, DOI : 10.3837/tiis.2020.12.017 None	Accepted	International
185	Sanjay Bhardwaj, Dong-Seong Kim,''Double Deep Q-Learning Based CoMP in Industrial Wireless Networks for eURLLC" IEEE Wireless Communication Letters,2020 (S) None	Preparation	International
184	Amaizu Gabriel, Ugochukwu Akpudo ,Jae-Min Lee and Dong-Seong Kim " Hybrid Filter-wrapper-based Parameter Selection Approach for Cost-Efficient DDoS Attack Detection", IEEE Internet of Things - 2020 (R) None	Preparation	International
183	V.S. Doan, T. Huynh-The, D. S. Kim, "Underwater Acoustic Target Classification based on Dense Convolutional Neural Network", IEEE Geoscience and Remote Sensing Letters, (Early Access), pp.1-5, Oct. 2020. DOI: 10.1109/LGRS.2020.3029584 None	Accepted	International
182	차중혁, 이종우, 이재민, 김동성, "민·군 ICT융합기술을 위한 실시간 미들웨어 응용 및 동향 연구", Journal of KICS, vol.37, no.10, pp.47-54, Oct. 2020. None	Preparation	Domestic
181	S. H. Kim, J. W. Kim, V. S. Doan and D. S. Kim: "Lightweight Deep Learning Model for Automatic Modulation Classification in Cognitive Radio Networks", IEEE Access, vol. 8, pp. 197532 - 197541, Oct. 2020. IF: 3.745, None	Accepted	International
180	Hoa Tran-Dang, Nicolass Krommenacker, Patrick Charpentier, Dong-Seong Kim: " The Internet of Things for Logistics:oT for Logistics: Perspective, Application Review and Challenges", IETE Technical Review, DOI: 10.1080/02564602.2020.1827308, (IF:1.88) None	Accepted	International
179	Heidy Indrayani, Ade Pitra Hermawan, Sanjay Bhardwaj Rizki Rivai Ginanjar, Dong-Seong Kim and Jae-Min Lee, "Split Super-resolution for CSI Reconstruction using Transfer Learning in MIMO System", ICT Express Journal (P) None	Preparation	International
178	이주원, 차중혁, 이종우, 김경선, 김동성, "PFDP 기반 DDS Security의 경량화 디스커버리 기법(PFDP-based DDS Security Lightweight Discovery Scheme)", Journal of KICS, vol.45 no.12, Dec., 2020. None	Preparation	Domestic
177	Sanjay Bhardwaj, Dong-Seong Kim "Dragonfly Approach for Resource Allocation in Industrial Wireless Network", Physical Communication, Vol. 43, 101198, December 2020 None	Accepted	International
176	Hoa Tran-Dang, Dong-Seong Kim: "Link delay and Channel Aware Routing protocols for Cognitive Sensor Networks", IET Communications, Vol. 14, no. 20, pp. 3639 –3651, December 2020, None	Accepted	International
175	Williams-Paul Nwadiugwu, Jae-Min Lee and Dong-Seong Kim "Hybrid (CKF + EKF) for Next-Generation 4-D UAV Trajectory in Space-Air-Ground Integrated Network", Intelligent & Robotics Systems, 2021. (S) None	Preparation	International
174	Williams-Paul Nwadiugwu and Dong-Seong Kim "Aboveground-to-Underground Topology Control with Distributed MIMO-Ultrawideband-RF Models for Jobshop Environment", IEEE Sensors Journal, 2020. (In revision) None	Preparation	International
173	Williams-Paul Nwadiugwu and Dong-Seong Kim, "Memory-aware AD-DDS for Service-oriented Distributed Collaborative Simulation Synergy", IEEE Trans. on Broadcasting Services, 2020. (S) None	Preparation	International
172	Thien Huynh-The, Hua, Cam-Hao; Anh Tu, Nguyen; Kim, Dong-Seong, "Physical Activity Recognition with Statistical-Deep Fusion Model using Multiple Sensory Data for Smart Health," IEEE Internet of Things Journal, vol. 8, no. 3, pp. 1533-1543, Feb. 2021. None	Preparation	International
171	Rizki Rivai Ginanjar, Sanjay Bhardwaj, Jae-Min Lee, and Dong-Seong Kim, "Imperceptible Digital Data-Hiding in Audio File using Novel Rounding Modulation Technique", Computer Standard and Interface, 2020. (R) None	Preparation	International
170	Godwin Brown Tunze, Thien Huynh-The, Jae-Min Lee, and Dong-Seong Kim, “Automatic Modulation Recognition using Deep CNN with Multilevel Attention Mechanism,” IEEE Signal Processing Letters, 2020. (Pr) None	Preparation	International
169	Kevin Putra Dirgantoro, Jae-Woo Kim, Jae Min Lee, and Dong-Seong Kim, "BoM: Blockchain over MMS Communication for Secure IIoT using 1D CNN", IEEE Transactions on Industrial Informatics, 2020. (S) None	Submitted	International
168	Bhardwaj, S., Kim, DS. Dragonfly-based swarm system model for node identification in ultra-reliable low-latency communication. Neural Comput & Applic 33, 1837–1880 (2021). https://doi.org/10.1007/s00521-020-05056-6 None	Preparation	International
167	Ade Pitra Hermawan, Rizki Rivai Ginanjar, Dong-Seong Kim and Jae-Min Lee, “Energy Efficient-based Data Recovery using Multidirectional LSTM in Wireless Sensor Networks“, IEEE/ACM Embedded System Letters (Pr) None	Preparation	International
166	Seung-Hwan Kim, Jae-Woo Kim, Dong-Seong Kim, "Energy Consumption Analysis of Beamforming and Cooperative Schemes for Aircraft Wireless Sensor Networks" Applied Sciences, vol.10, no.12, pp.4374-4391, June 2020. (IF:2.474), DOI : 10.3390/app10124374 None	Preparation	International
165	M. T. Ramadhan, R. R. Ginanjar, D.-S. Kim and J.-M. Lee,"Multiple-Input LSTM Based Movement Prediction in 3D Space", IET Electronics Letter(S) None	Preparation	International
164	Nita Hidayati, Rizki Rivai Ginanjar, Ade Pitra Hermawan, Jae-Min Lee, Dong-Seong Kim, "Real-Time Embedded data anomaly framework using online machine learning scheme," ICT Express Journal (S) None	Preparation	International
163	Md Sajjad Hossain, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, Dong-Seong Kim "Edge Computational Task Offloading Scheme using Reinforcement Learning for IIoT Scenario" ICT Express, Vol. 6, no. 4, pp. 291-299, December 2020, None	Accepted	International
162	Kevin Putra Dirgantoro, Jae-Woo Kim, Jae Min Lee, and Dong-Seong Kim, "Secure M2M Communication of Industrial IoT using Manufacturing Message Specification (MMS) with Blockchain", IEEE Transactions on Industrial Electronics, 2020. (S) None	Submitted	International
161	Jae-Woo Kim, Dong-Seong Kim, Seung-Hwan Kim and Sang-Moon Shin "The Firmware Design and Implementation Scheme for C Form-Factor Pluggable Optical Transceiver ", Applied Sciences, Vol. 10, no. 6. 2143, March 2020 None	Accepted	International
160	G. Gashema and D.S Kim"Optimal Sensing and Interference Suppression in 5G Cognitive Radio Networks," Journal of Communications, vol.15, pp.303-308, Apr.2020 (A) None	Preparation	International
159	김승환, 김치윤, 유상호, 김동성, "인지 무선 통신망의 자동 변조 분류를 위한 딥러닝 모델 설계(Design of Deep Learning Model for Automatic Modulation Classification in Cognitive Radio Network)", Journal of KICS, vol.45, no.8, pp.1-8, Aug. 2020. None	Preparation	Domestic
158	W. Nwadiugwu and D. Kim, "Ultrawideband Network Channel Models for Next-Generation Wireless Avionic System," IEEE Transactions on Aerospace and Electronic Systems, Vol. 56, no. 1, pp. 113-129, Feb. 2020. (IF: 3.672) None	Accepted	International
157	M. R. Ramli, P. T. Daely, D-S. Kim, and J. M. Lee, "IoT-based Adaptive Network Mechanism for Reliable Smart Farm System", Computers and Electronics in Agriculture, Vol. 170, 105287, March 2020 None	Accepted	International
156	J.-H. Cha and D.-S. Kim, "Light-weighted DDS for Industrial IoT base Edge Computing", Industrial Informatics, 2020 (Pr) None	Preparation	International
155	Cosmas Ifeanyi Nwakanma, Md. Sajjad Hossain, Jae-Min Lee and Dong-Seong Kim, "Towards Machine Learning Based Analysis of Quality of User Experience (QoUE)" International Journal of Machine Learning and Computing, vol. 10, no. 6, pp. 752-758, Nov. 2020, None	Accepted	International
154	Hoa Tran-Dang, Nicolass Krommenacker, Patrick Charpentier, Dong-Seong Kim, " Towards IoT for Physical Internet: Perspective and Challenges", IEEE Internet of things journal, DOI: 10.1109/JIOT.2020.2971736, (Q1, IF: 9.5) (A) None	Preparation	International
153	Rizki Rivai Ginanjar, Ade Pitra Hermawan, Jae-Min Lee, and Dong-Seong. Kim, "UAV-Based Sensor Nodes Localization Scheme utilizing Shallow Neural Network", IEEE Transactions on Industrial Informatics, 2020. (R) None	Preparation	International
152	Kevin Putra Dirgantoro, Williams Paul Nwadiugwu, Jae Min Lee, and Dong-Seong Kim, "Dual Fieldbus Industrial IoT Networks using Edge Server Architecture", Elsevier Manufacturing Letters, Vol. 24, pp. 108-112, April 2020. (IF: 1.07) None	Accepted	International
151	Thien Huynh-The, Cam-Hao Hua, Quoc-Viet Pham, Dong-Seong Kim, "MCNet: An Efficient CNN Architecture for Robust Automatic Modulation Classification", IEEE Communication Letters, vol. 24, no. 4, pp. 811-815, April 2020 None	Accepted	International
150	"Gaspard Gashema and Dong-Seong Kim" Throughput Enhancement under Full-Duplex with SI-Suppression in 5G Cognitive Radio Networks, wireless personal communication, 2020 (S) None	Preparation	International
149	A. P. Hermawan, R. R. Ginanjar, D. S. Kim, and J. M. Lee, "CNN-based Automatic Modulation Classification for Beyond 5G Communications", IEEE Communications Letters, Vol. 24 , no. 5, pp. 1038-1041, May 2020. None	Accepted	International
148	Sanjay Bhardwaj and Dong-Seong Kim,"Priority-Aware Two-Phase MAC Scheduling for Ultra-Reliable Low-Latency Communications in IEEE 802.11ax-Based Industrial Wireless Networks", wireless personal Communication, 2020. (S) None	Preparation	International
147	김재우, 김동성, 김승환, 신상문 "PAM4 변조방식을 이용한 장거리 전송용 QSFP28 광트랜시버 설계 및 구현(Design and Implementation of QSFP28 Optical Transceiver for Long-Rich Transmission Using PAM4 Modulation)", Journal of KICS, vol. 44, no.12, 2019. None	Preparation	Domestic
146	V. S. Doan and D. S. Kim, "DOA Estimation of Multiple Non-coherent and coherent Signals Using Element Transposition of Covariance Matrix", ICT Express, vol. 6, no. 2, pp. 67-75, June 2020. DOI : doi.org/10.1016/j.icte.2020.03.008 None	Accepted	International
145	T. Huynh-The, C.-H. Hua, T.-T. Ngo, and D.-S. Kim, "Image Representation of Pose-Transition Feature for 3D Skeleton-Based Action Recognition", Information Sciences (SCI, IF: 5.52), Vol. 513, pp. 112-126, March 2020 (A) None	Accepted	International
144	V. S. Doan, H. T. Dang, D. S. Kim: "A Survey on Direction of Arrival Estimation Methods for Internet of Battlefield Things", IEEE Internet of Things Journal (IF: 9.5, Pr) None	Preparation	International
143	Riesa Krisna Astuti Sakir, Muhammad Rusyadi Ramli, and Doeng-Song Kim, "Deep Reinforcement Learning for Traffic Signal Optimization in Edge-based Traffic Control System", ELSEVIER Computers and Electrical Engineering, 2019 (In revision) None	Under Review	International
142	김승환, 김재우, 권기협, 김동성, "무선 센서 네트워크 성능 향상을 위한 기계학습 응용동향 및 분석(Analysis and Application Trend of Machine Learning Technology to Improve the Performance of Wireless Sensor Networks)", Journal of KICS, vol. 45, no.1, pp. 1-21, 2020. None	Preparation	Domestic
141	T. Huynh-The, C.-H. Hua, N. A. Tu, D.-S. Kim, "Learning 3D Spatiotemporal Pose Feature by Deep-CNN for Person Identification," will be published Neurocomputing ( IF:4.072), 2020. None	Accepted	International
140	G. Gashema, D.-S. Kim, and J.-M. Lee "Spectral Efficiency Improvement Based on Small Cells Deployments towards 5G Communication Technologies " IEIE Transactions on Smart Processing & Computing, vol. 8, no. 2, pp. 126-135, 2019 (A) None	Accepted	International
139	임진용, 김동성, "차세대 함정전투체계를 위한 가상화 솔루션의 성능 분석 (Performance Evaluation of Virtualization Solution for Next Generation Naval Combat Systems)", Journal of ICROS, Vol. 56, No. 2, pp. 41-49, Feb. 2019. None	Accepted	Domestic
138	Sang-Hyun Hwang and Dong-Seong Kim, "Hybrid Helmet Pose Tracking System using Adaptive Complementary Filter", Measurement (IF: 3.7), Vol.146, pp. 186-194, 2019 (A) None	Accepted	International
137	H. Tran-Dang, D.-S. Kim "Channel-Aware and Energy Efficient Two-Hop Cooperative Routing in Underwater Acoustic Sensor Networks", IEEE Access (IF: 3.57, ISSN: 2169-3536), vol. 7, pp. 63181 - 63194, 2019 (A) None	Accepted	International
136	박성화, 강문석, 김동성 “함정 전투 체계를 위한 PUSH/PULL 기반의 모니터링 플랫폼 설계 및 구현 (Design and Implementation of Monitoring Platform Based on PUSH/PULL for Naval Combat Systems)”, Journal of KICS, 2019. (Pr) None	Preparation	Domestic
135	유상호, 임지철, 김동성, "가상화 기반 함정 전투 시스템 클러스터의 라이브 마이그레이션 최소화 기법(Live Migration Minimization Scheme for Virtualization-based Naval Combat Cluste)", Journal of KICS, 2019. (Pr) None	Preparation	Domestic
134	이종우, 최철준, 김동성, "함정 전투체계 실시간 통신망을 위한 이중화 전송기법(Redundancy Transmission Scheme for Real-time Networkof Naval Combat System)", Journal of KICS, 2020. (R) None	Preparation	Domestic
133	김경선, 서민승, 김동성, "H.265/HEVC 및 Bezier Curve 영상 재구성 기법을 이용한 함정용 실시간 모니터링 시스템(Real-time Monitoring System for Naval using H.265/HEVC and Bezier Curve Image Reconstruction Scheme)", Journal of KICS, 2019. (Pr) None	Preparation	Domestic
132	김시완, 기관욱, 김동성, "지능형 영상 시스템에 기반한 함포 배열 분석용 S/W의 설계 및 구현(Design and Implementation Naval Gun Alignment Analysis S/W using Intelligent Image System)", Journal of KICS, 2019. (Pr) None	Preparation	Domestic
131	김승환, 김재우, 권기협, 김동성, "인지통신 기반 산업용 IoT를 위한 효율적 채널 핸드오프 기법(Efficient Channel Handoff Scheme for Cognitive-Radio-Based Industrial Internet of Things)", Journal of KICS, vol. 44, no. 9, pp. 1-8, Sep. 2019. None	Preparation	Domestic
130	A. Abdukhakimov, S. Bhardwaj, G. Gashema, and D.-S. Kim, "Reliability Analysis in Smart Grid Networks Considering Distributed Energy Resources and Storage Devices", International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 8, No. 5, pp.233-237, Sept. 2019 (A) None	Accepted	International
129	Nita Hidayati, Riski Rivai Ginanjar, Jae-Min Lee and Dong-Seong Kim, "Faulty Node Detection Scheme for WirelessHART using n-Bits BCH Code", ETRI Journal, 2019. (S) None	Preparation	International
128	Muhammad Rusyadi Ramli, Dong-Seong Kim, Jae Min Lee, "Hybrid MAC Protocol for UAV-Assisted Wireless Sensor Networks", Internet of Things, 2019 None	Accepted	International
127	Trung-Thanh Ngo, Abdukhakimov Asatilla and Dong-Seong Kim, "Long-range Wireless Tethering Selfie Camera System using Wireless Sensor Network", IEEE Access, Vol.7, pp. 108742 - 108749, August 2019 None	Accepted	International
126	문창배, 이종열, 김동성, 김병만, "음악추천을 위한 분위기 태그 분석(Analysis of Mood Tags For Music Recommendation)", 한국산업정보학회 논문집(Journal of the Korea Industrial Information Systems Research), Vol. 24, No. 1, pp.13-21 , 2019.2 None	Preparation	Domestic
125	Dong-Seong Kim and Jae-Min Lee, "Creative Thingking and Project based Class Management at ICT Convergence Research Center", IEEE Transaction on Education, 2019. (Pr) None	Preparation	International
124	W. Nwadiugwu, J. Lee and D.-S. Kim, "Novel MA-VFBC Based Deployment of Obstacle-Avoiding Scattered Sensors for Region-of-Interest Incidence Monitoring," IEEE Access, Vol. 8, pp. 3065-3075, 2020. (IF: 3.745) None	Accepted	International
123	Seung-Hwan Kim, Jae-Woo Kim, Dong-Seong Kim, "Performance Analysis of Beamforming and Cooperative Schemes with NLoS for Wireless Sensor Network in Aircraft", Computer Standards & Interfaces, 2018 (in Revision) None	Submitted	International
122	김재우. 김동성, 김승환, 신상문 "광통신 시스템을 위한 100Gb/s 광트랜시버 펌웨어 설계 및 구현(Design and implementation of 100Gb/s optical transceiver firmware for optical communication system)", Vol. 44 No. 2, Journal of KICS, 2019. None	Preparation	Domestic
121	A. Jalal, S. Kamal and Dong-Seong Kim, "Detecting Complex 3D Human Motions with Body Model Low-Rank Representation for Real-Time Smart Activity Monitoring System", KSII Transactions on Internet and Information Systems, (ISSN : 1976-7277), vol. 12, no. 3, pp. 1189-1204, 2018 (A) None	Accepted	International
120	T. Huynh-The, C.-H. Hua, N. A. Tu, D.-S. Kim, "Locally Statistical Dual-Mode Background Subtraction Approach", IEEE Access (ISSN: 2169-3536), vol. 7, pp. 9769-9782, 2019 None	Accepted	International
119	Seung-Hwan Kim, Jae-Min Lee and Dong-Seong Kim, "항공기용 멀티 홉 무선센서 통신망에서 협력통신기법(Cooperative Communication Schemes for Multi-hop Wireless Sensor Network of Aircraft)," 대한전자공학회(IEEK), Vol. 55, No. 10, pp. 1-11, Oct. 2018, ISSN: 1229-635X None	Preparation	Domestic
118	김승한. 조창훈, 김동성, "MIL-STD-1553B 필드버스 기반의 내장형 시스템설계 및 구현(Design and Implementation of MIL-STD-1553B Fieldbus Based Embedded System)", Journal of KICS, Vol. 43, No.8, pp. 1273-1281, 31. Aug. 2018. (N2 & N4) None	Preparation	Domestic
117	이하연, 김동성, "네트워크 기반 함정 전투체계를 위한 실시간 데이터 검색 및 처리 기법(Real-time Data Search and Processing Scheme for Networked Naval Combat System)", Journal of KICS, 2018.(Revision) None	Preparation	Domestic
116	H. Tran-Dang, D.-S. Kim: "Channel-Aware Cooperative Routing in Underwater Acoustic Sensor Networks", Journal of Communications and Networks (IF: 1.252, ISSN: 1229-2370), vol. 51, no. 1, 2019 (A) None	Accepted	International
115	조홍규, 최학희, 김동성, 이재민 "스마트 팜 무선 네트워크의 설계 및 구현: LoRa 및 IEEE 802.11 무선 백홀망(Design and Implementation of Smart Farm Wireless Network: LoRa and IEEE 802.11 Wireless Backhaul Network)", Journal of KICS, Vol. 43, No. 5, pp.850-862, 2018, May.(ISSN : 1226-4717) None	Preparation	Domestic
114	S.-H. Kim, D.-H. Kim, and D.-S. Kim, "Design of Smart Platform-based Event-Log Analysis and Parameter-modifying Software for Naval Combat Systems", IEIE Transactions on Smart Processing & Computing(IEIE SPC), (ISSN: 2287-5255), vol. 7, no. 5, pp. 385-391, 2018. (N4 & N8) (A) None	Accepted	International
113	D.-H. Kim, H.-Y. Lee, and D.-S. Kim, "Enhanced Industrial Message Protocol for Real-time IoT Platform", IEIE Transactions on Smart Processing & Computing(IEIE SPC), (ISSN: 2287-5255), vol. 7, no. 5, pp. 378-384, 2018. (N2 & N4) (A) None	Accepted	International
112	J. H. Cha and D.-S. Kim, "Design and Implementation of Real-Time Monitoring Tool for Data Distribution Service", IEIE Transactions on Smart Processing & Computing (ISSN: 2287-5255), vol. 7, no. 4, pp. 264-270, 2018. (N1 & N2) (A) None	Accepted	International
111	A. A. Pranata, T.-S. Jun, and D.-S. Kim, "Overhead Reduction Scheme for SDN-based Data Center Networks", Computer Standards & Interfaces (IF: 1.465, ISSN: 0920-5489), vol. 63, pp. 1-15, 2018 (A) None	Accepted	International
110	W. P. Nwadiugwu, D.-S. Kim and J.-M. Lee, "Real-Time Energy-Efficient Deployment of Mobile Sensors in Disaster-Prone Locations", International Journal of Communication Networks and Distributed Systems, Vol. 23, No. 3, pp. 307 - 327, Feb 2019. (IF: 0.21) (N1 & N2) None	Accepted	International
109	H. Tran-Dang and D.-S. Kim, "An Information Framework for Internet of Things in Physical Internet", IEEE Access (IF: 3.557, ISSN: 2169-3536), vol. 6, pp. 43967-43977, 2018 (A) None	Accepted	International
108	Seung-Hwan Kim, Jae-Min Lee and Dong-Seong Kim, "항공기내 무선통신망 구현을 위한 협력통신 기반의 성능분석(Performance analysis of wireless avionics intra-communication network based on cooperative communication)," 대한전자공학회(IEEK), Vol. 55, No. 2, pp. 1-8, Feb. 2018, ISSN: 1229-635X None	Preparation	Domestic
107	H. Tran-Dang and D.-S. Kim, "Efficient Bandwidth-Aware Routing for Underwater Cognitive Acoustic Sensor Networks", IET Wireless Sensor Systems (ISSN: 2043-6394), vol. 9, no. 2, pp. 77-84, 2019 (A) None	Accepted	International
106	N. B. Long, H. Tran-Dang and D.-S. Kim, "Energy-Aware Real-Time Routing for Large-Scale Industrial Internet of Things", IEEE Internet of Things Journal (IF: 5.863, ISSN 2327-4662), vol. 5, no. 3, pp. 2190-2199, 2018 (A) None	Accepted	International
105	A. Jalal, S. Kamal and D.-S. Kim, "Detecting Complex 3D Human Motions with Body Model Low-Rank Representation for Real-Time Smart Activity Monitoring System", KSII Transactions on Internet and Information Systems (IF : 0.611, ISSN : 1976-7277), vol. 12, no. 3, pp. 1189-1204, 2018 (A) None	Accepted	International
104	Seung-Han Kim and Dong-Seong Kim, "Smart Platform based Log Data Gathering and Analysis Tool for Naval Combat System", Defence Science Journal (IF: 0.510, ISSN: 0011-748X), 2017. (S) None	Submitted	International
103	김규백, 조홍규, 김동성, "해군전투체계의 적응형 모의사격시뮬레이터 설계 및 구현(Design and Implementation of Adaptive Artillery Simulator on a Naval Combat System)", Journal of KIMST, Vol. 21, No. 5, pp. 630-693, Oct. 2018 None	Preparation	Domestic
102	Sang-Hyun Hwang and Dong-Seong Kim, "Design and Performance Analysis of Hybrid Helmet Pose Tracking System using Adaptive Complementary Filter", IEEE Transanction on Industrial Electronics (IF: 7.050, ISSN: 0278-0046), 2017. (Pr) None	Preparation	International
101	Yong-Hyeun Kwon, Joong-Hyuk Cha, and Dong-Seong Kim, "전술 무선통신망의 응답시간 및 처리량 개선을 위한 비대칭 다중접속기법 설계 및 성능분석 (Design and performance analysis of Asymmetric Time Division Multiple Access Method for Improving Response Time and Throughput in Tactical Radio Communication)," 한국군사과학기술학회 (KIMST), Vol. 21, No. 3, pp 361-369, Jun, 2018 (군사과학기술학회 최우수논문상) None	Accepted	Domestic
100	N. T. Tuan, D.-S. Kim, and J.-M. Lee, "On the Performance of Cooperative Transmission Schemes in Industrial Wireless Sensor Networks", IEEE Transactions on Industrial Informatics (IF: 5.430, ISSN: 1551-3203), vol. 14, no. 9, pp. 4007-4018, 2018. (N1 & N2) None	Accepted	International
99	N. B. Long and D.-S. Kim, "TDMA-Based Efficient Cooperative Relaying Selection Scheme in Multi-hop Wireless Networks", Computer Standards & Interfaces (IF: 1.465, ISSN: 0920-5489), vol. 53, pp. 39-47, 2017. (N1 & N2) (A) None	Accepted	International
98	P. T. M. Thu, N. T. Tien, and D.-S. Kim, "Geographical Awareness Hybrid Routing Protocol in Mobile Ad Hoc Networks", Wireless Networks (IF: 1.981, ISSN: 1572-8196), vol. 23, no. 1, pp. 1-13, 2017. (N1 & N2) (A) None	Accepted	International
97	임지철, 문창배, 김동성, "가상화 기반 함정 전투 시스템 클러스터의 Migration 최소화 기법 (Migration Minimization Scheme for Virtualization-based Naval combat Cluster)", Journal of the KIMST (ISSN: 1598-9127), 2017. (S) None	Submitted	Domestic
96	G. W. Adhane, D.-S. Kim, "Distributed Control System for Ship Engines Using Dual Fieldbus", Computer Standards & Interfaces, (IF: 1.465, ISSN: 0920-5489), vol. 50, pp. 83-91, 2017. (N1 & N2) (A) None	Accepted	International
95	Dong-Seong Kim, Syamsul Rizal, and I.-T. Park, "Fault Detection System using Smart Networked Proximity Sensors for Ship Engine", IEEE Transactions on Industrial Electronics, (IF: 7.050, ISSN: 0278-0046), 2018. (N1&N2) (Pr) None	Preparation	International
94	H.-M. Lee, S.-H. Kim, J.-H. Cha and D.-S. Kim, "MMS over MQTT Protocol for Industrial IoT Platform", International Journal of Advances in Computer Science & Its Applications (ISSN: 2250-3765), vol. 6 no. 2, pp. 91-93, 2016. (N1) (A) None	Accepted	International
93	J.-H. Cha, S.-H. Kim, J.-Y. Im, and D.-S. Kim, "Asymmetric Time Division Multiple Access Method for Tactical Radio Communication", International Journal of Advances in Computer Networks and Its Security (ISSN : 2250-3757), vol. 6 no. 2, 2016. (N1) (A) None	Preparation	International
92	H.-H. Choi, D.-J. Min and D.-S. Kim, "Design and Implementation of Intelligent Parking Guidance System based on Internet of Things (IoT)", International Journal of Advances in Computer Science & Its Applications (ISSN 2250-3765), vol. 6 no. 2, pp. 87-90, 2016. (N1) (A) None	Preparation	International
91	S.-P. Ahn, D.-H. Kim, J.-M. Lee, and D.-S. Kim, "Analysis of Wireless Network Technology for High Reliability Aircraft Networks(고 신뢰성 항공기 무선 네트워크 동향 및 기술 분석)", The Journal of Korean Institute of Communication and Information Sciences(J-KICS), (ISSN : 1226-4717), vol. 41, no.12, pp.1933-1941, Dec. 2016. None	Accepted	Domestic
90	T.-L. Pham, D.-S. Kim, "Efficient Forwarding Protocol for Dual-Hop Relaying Wireless Networks", Wireless Personal Communications (IF: 1.200, ISSN: 1572-8196), vol. 89, issue 1, pp. 165-180, 2016. (N1 & N2) (A) None	Accepted	International
89	Minh-Phuong Tran, Anh-Minh Le and Dong-Seong Kim, "Adaptive Spectrum Handoff Scheme for Cognitive Ad Hoc Networks", Wireless Personal Communications, (IF: 1.200, ISSN: 0929-6212), 2015. (N1 & N2)(S) None	Submitted	International
88	Minh-Phuong Tran, D.-S. Kim, "Distributed Spectrum Handoff and Power Allocation Scheme for Cognitive UWB Industrial Networks", IEEE Trans. on Industrial Informatics (IF: 5.430, ISSN: 1551-3203), 2015. (N1 & N2) (Pr) None	Preparation	International
87	Minh-Phuong Tran, Dong-Seong Kim, "Renewal Process Based Energy-Aware Routing Algorithm for Cognitive Industrial Sensor Networks", IEEE Trans. on Industrial Informatics, (IF: 5.430, ISSN: 1551-3203), 2015. (N1 & N2) (Pr) None	Preparation	International
86	M. Rizal Khaefi, D.-S. Kim, "DDS Node Discovery Scheme with Dynamic Bloom Filters", Journal of Parallel and Distributed Computing (IF: 1.815, ISSN: 0743-7315), 2015. (N1 & N2) None	Submitted	International
85	Yong-Ju Ji, Hak-Hui Choi and Dong-Seong Kim, "Q-learning 모델을 이용한 IoT 기반 주차유도 시스템의 설계 및 구현(Design and Implementation of parking guidance system based on Internet of Things(IoT) using Q-learning model)," 대한임베디드공학회(IEMEK),(IF: 0.151, ISSN: 1975-5066), Vol. 11, No. 3, pp.0-8, 2016. None	Preparation	Domestic
84	Yong-Ju Ji, Hye-Min Lee, Hak-Hui Choi and Dong-Seong Kim, "수중 센서네트워크를 위한 채널 특성기반의 협력 통신기법(Cooperative Communication Scheme Based on channel Characteristic for Underwater Sensor Networks)," 대한전자공학회(IEEK), (IF: 0.197, ISSN: 1229-635X), Vol. 53, No. 6, pp.0-8, 2016. None	Preparation	Domestic
83	Tung Thanh Le, Thu Pham, D.-S. Kim, "BEE: Bee-Inspired Algorithm for Zone Radius Determination in Independent Zone Routing Protocol for Mobile Ad Hoc Networks", Jurnal Teknologi (ISSN:2180-3722), 2015. (N1 & N2) (S) None	Accepted	International
82	Y. Wei, D.-S. Kim, "RER: Reliable and Energy-efficient Routing Protocol for Underwater Acoustic Sensor Networks", IEEE Journal of Oceanic Engineering (IF:2.065, ISSN:0364-9059), 2015. (N1 & N2) (S) None	Accepted	International
81	N. B. Long, T. Nhon, D.-S. Kim, "Rate-Estimation Based Relay Selection Scheme for Large-Scale Wireless Networks", IET Communications (IF: 1.443, ISSN: 1751-8628), vol. 10, no. 12, pp. 1501-1507, 2016 (A) None	Accepted	International
80	D. D. Tan, D.-S. Kim, "Cooperative Transmission Scheme for Multi-hop Underwater Acoustic Sensor Network", International Journal of Communication Networks and Distributed Systems (ISSN: 1754-3924), vol. 14, no. 1, pp. 1-18, 2015 (A) None	Accepted	International
79	H. A. Putra, D.-S. Kim, "Node Discovery Scheme of DDS for Combat Management System", Computer Standards & Interfaces (IF: 1.465, ISSN: 0920-5489), vol. 37, pp. 20-28, 2015 (A) None	Accepted	International
78	T. Nhon, D.-S. Kim, "Real-Time Message Scheduling for ISA100.11a Networks", Computer Standards & Interfaces (IF: 1.465, ISSN: 0920-5489), vol. 37, pp. 73–79, 2015 (A) None	Accepted	International
77	W. Yang, D.-S. Kim, "Enhanced Network Recovery Scheme on Real-Time Switched Ethernet for Naval Combat System", International Journal of Communication Networks and Distributed Systems (ISSN: 1754-3924), vol.14, no. 2, pp. 145-163, 2015. (N1 & N2) (A) None	Accepted	International
76	S. Rizal and D.-S. Kim, "Image Transmission in Military Network Using Bezier Curve", Journal of Advances in Computer Networks (ISSN: 1793-8244), vol. 3, no. 2, pp. 141-145, 2015 (A) None	Accepted	International
75	S. Q. Hojiev, D.-S. Kim, "Dynamic Load Balancing Algorithm Based on Users Immigration in Wireless LANs", Journal of Advances in Computer Networks (ISSN: 1793-8244), vol. 3, no. 2, pp. 114-118, 2015 (A) None	Accepted	International
74	D. D. Tan, D.-S. Kim "Interference-Aware Relay Assignment Scheme for Multi-Hop Wireless Networks for Wireless Networks", Wireless Networks (IF: 1.981, ISSN: 1570-8705), vol. 21, no. 7, pp. 2195-2207, 2015. (N1 & N2) (A) None	Accepted	International
73	Syamsul Rizal and Dong-Seong Kim, "Bandwidth Adaptation Scheme of Audio/Video Bridging Protocol for Industrial Networks", Jurnal Teknologi (ISSN: 0127-9696), 2015 (A) None	Accepted	International
72	P. T. A. Quang, D.-S. Kim, "Clustering Algorithm of Hierarchical Structures in Large-scale Wireless Sensor and Actuators Networks", Journal of Communications and Networks (IF: 1.252, ISSN: 1976-5541), vol. 17, no. 5, pp. 473 - 481, 2015 (A) None	Accepted	International
71	D. A. Nugroho, S. Rizal, D.-S. Kim, "Reconstruct Unrecoverable Data in Real-Time Networks Using Bezier Curve", IET Communications (IF: 1.443, ISSN: 1751-8628), vol. 9, no. 5, pp. 596 - 602, 2015. (N1 & N2) (A) None	Accepted	International
70	Iyoga Don Frima Tarigan and Dong-Seong Kim, "Performance Analysis of Cluster Server based on Storage Area Network (SAN)", Jurnal Teknologi (ISSN: 0127-9696), pp. 85-88, 2015 (A) None	Accepted	International
69	D. A. Nugroho, A. Prasetiadi, and D.-S. Kim, "Male-Silkmoth-Inspired Routing Algorithm for Large-Scale Wireless Mesh Networks", Journal of Communications and Networks (IF: 1.252, ISSN: 1976-5541), vol. 17, no. 4, pp. 384 - 393, 2015 (A) None	Accepted	International
68	D. D. Tan, D.-S. Kim, "Dynamic Traffic-Aware Routing Algorithm for Multi-Sink Wireless Sensor Networks", Wireless Networks (IF: 1.981, ISSN: 1572-8196), vol. 20, no. 6, pp. 1239-1250, 2014 (A) None	Accepted	International
67	S.-W. Kim, W. Yang, D.-S. Kim, "Bi-Directional Spring Damper Impedance for Path Control Scheme of Swarm Robot Systems", International Journal of Mechatronics and Manufacturing Systems (ISSN:1753-1047), vol. 7, no. 1, pp.1 - 20, 2014. (N1 & N2) (A) None	Accepted	International
66	T. T. Le, D.-S. Kim, "An Efficient Throughput Improvement through Bandwidth Awareness in Cognitive Radio Networks", Journal of Communications and Networks (IF: 1.252, ISSN: 1976-5541), vol. 16, no. 2, pp.146-154, 2014 (A) None	Accepted	International
65	T.-L. Pham, D.-S. Kim, "Routing Protocol Over Lossy Links for ISA100.11a Industrial Wireless Sensor Networks", Wireless Networks (IF: 1.981, ISSN: 1572-8196), vol. 20, no. 8, pp. 2359–2370, 2014 (A) None	Accepted	International
64	T. M. Phuong, D.-S. Kim, "Efficient Power Control Scheme for Cognitive Industrial Sensor Networks", International Journal of Control and Automation (ISSN: 2005-4297), vol. 7, no. 3, pp. 177-188, 2014. (N1) (A) None	Accepted	International
63	T. Nhon, D.-S. Kim, "Relay Selection Scheme for Hierarchical Wireless Sensor Networks", International Journal of Control and Automation (ISSN: 2005-4297), vol. 7, no. 3, pp. 147-160, 2014. (N1) (A) None	Accepted	International
62	P. T. A. Quang, D.-S. Kim, "Throughput-Aware Routing for Industrial Sensor Networks: Application to ISA100.11a", IEEE Trans. on Industrial Informatics (IF: 5.430, ISSN: 1551-3203), vol. 10, no. 1, pp. 351-363, 2014 (A) None	Accepted	International
61	H. Q. Sardor, T. Y. Choe, "Two-Level Dynamic Load Balancing Algorithm Using Load Thresholds and Pairwise Immigration", International Journal on Computer Science and Engineering (ISSN: 0975-3397), vol. 5, no. 3, pp. 211-220, 2013 (A) None	Accepted	International
60	D. D. Tan, N. Q. Dinh, D.-S. Kim, "GRATA: A Gradient-based Traffic-Aware Routing for Wireless Sensor Networks", IET Wireless Sensor Systems (ISSN: 2043-6394), vol. 3, no. 2, pp. 75-85, 2013. (N2) (A) None	Accepted	International
59	A. Prasetiadi, D.-S. Kim, "Faulty Node Detection in Distributed Systems Using BCH Code", IEEE Communications Letter (IF:2.723, ISSN:1089-7798), vol. 17, no. 3, pp. 620-623, 2013. (N1) (A) None	Accepted	International
58	T. D. Hoa, D.-S. Kim, "Data Forwarding Algorithm over Lossy Links in Wireless Sensor Networks", IEICE Communications Express (ISSN: 2187-0136), vol. 2, no. 10, pp. 453-458, 2013 (A) None	Accepted	International
57	D. A. Nugroho, D.-S. Kim, "Precoded DCT and Low Complexity SLM for PAPR Reduction in OFDM Systems", International Journal of Engineering and Industries (ISSN: 2093-5765), vol. 4, no. 4, pp. 43-49, 2013. (N1 & N2) (A) None	Accepted	International
56	W. Yang, D.-S. Kim, "A Synchronization Method for Industrial Wireless Network Inspired from Insects", International Journal of Engineering and Industries (ISSN : 2233-9418), vol. 4, no. 4, pp. 50-57, 2013. (N1 & N2) (A) None	Accepted	International
55	N. Q. Dinh, D.-S. Kim, "Performance Evaluation of Priority CSMA-CA Mechanism on ISA100.11a Wireless Network," Computer Standards & Interfaces (IF: 1.465, ISSN: 0920-5489), vol. 34, no. 1, pp. 117-123, 2012 (A) None	Accepted	International
54	P. T. A. Quang, D.-S. Kim, "Enhancing Real-Time Delivery of Gradient Routing for Industrial Wireless Sensor Networks", IEEE Trans. on Industrial Informatics (IF: 5.430, ISSN: 1551-3203), vol. 8, no. 1, pp. 61-68, 2012 (A) None	Accepted	International
53	J.-H. Lee, D.-S. Kim, S.-Y. Shin "ELBA: A New Efficient Load-Balancing Association in IEEE 802.15.4-Based Wireless Sensor Networks", IEICE Trans. on Communications (IF: 1.090, ISSN: 1745-1345), vol. 95, no.5, pp. 1830-1833, 2012 (A) None	Accepted	International
52	D.-S. Kim, S.-K. Lee, "Feasibility Analysis of Hybrid Control network based on Common Industrial Protocol", Computer Standards & Interfaces (IF: 1.465, ISSN: 0920-5489), vol. 33. no. 4, pp. 357-366, 2011 (A) None	Accepted	International
51	D.-S. Kim, J. Jeon, P. Mohapatra, "Scheduling of Wireless Control Networks based on IEEE 802.15.4: Mixed Traffic Environment", Control Engineering Practice (IF: 2.616. ISSN: 0967-0661), vol. 19, pp. 1223-1230, 2011 (A) None	Accepted	International
50	Sang-Hyun Hwang, Chul-Ju Chung and Dong-Seong Kim, "Design and Implementation of Real-Time Helmet Pose Tracking System", Journal of The Korean Society for Aeronautical and Space Sciences, vol.44, no.2, pp.123-130(ISSN 1225-1348), 2016 None	Preparation	Domestic
49	박인택, 김승환, 김동성, "선박 엔진용 근접센서를 이용한 선박엔진 고장진단시스템 설계 및 성능 분석(Design and Performance Evaluation of Marine Engine Fault Detection System using Proximity Sensor for Marine Engine)", Journal of Institute of Control, Robotics and Systems, Vol.22, No.8, pp.1-8, August 2016. (제어 로봇 시스템학회 논문지), (ISSN: 1976-5622) None	Preparation	Domestic
48	Hak-Hui Choi, Dong-Seong Kim, "원격측정 기반 소형 무인 잠수정 실시간 위치 추정 시스템의 설계 및 구현 Design and Implementation of Real-time Position Prediction System of Telemetry-based for a Midget Unmanned Submarines," (Pr), 2015 None	Preparation	Domestic
47	Jin Yong Im, Dong Seong Kim, Kyung Sub Song, and Yoon Suk Choi, "함정 전투 시스템 개발 툴을 위한 분산 실시간 메시지 관리 기법 설계 및 구현, Design and Realization of Distributed Real-time Message Management Scheme for Naval Combat System Development Tool", Journal of Institute for Control, Robotics and Systems (ISSN: 1976-5622 eISSN: 2233-4335), vol. 22, no. 7, pp. 570-577, July 2016. None	Accepted	Domestic
46	Sung-Phil Heo, Dong-Hee Noh, Chang Bae Moon, Dong-Sung Kim, "사물인터넷 기반 헬스케어 서비스 기술 동향 Trend of IoT-based Healthcare Service", Journal of Institute of Embedded Engineering of Korea(대한임베디드공학회논문지), vol. 10, no. 4, pp.221-231, Aug. 2015.(N2 & Medical) None	Preparation	Domestic
45	Hea-Min Lee, D.-S. Kim, "곤충 행동 양식 기반의 애드 혹 네트워크를 위한 존 반경 결정 알고리즘 Insect-Inspired Algorithm for Zone Radius Determination of Ad-hoc Networks", Journal of Institute of Control, Robotics and Systems (제어 로봇 시스템학회 논문지), (IF: 0.2, ISSN: 1976-5622), vol. 20, no. 10, pp.1079-1084, Oct, 2014.(N1&N2) None	Preparation	Domestic
44	D.-H. Noh, D.-S. Kim, "마코브 연산 기반의 함정 시스템 내 실시간 제어망의 고장 노드 탐지 기법 연구", Journal of Institute of Control, Robotics and Systems (제어 로봇 시스템학회 논문지), (IF: 0.2, ISSN: 1976-5622), vol. 20, no. 11, pp.1131-1135, Nov. 2014.(N1&N2) None	Preparation	Domestic
43	Dong-Hee Noh, D.S. Kim, "BCH 코드를 이용한 함정 분산 제어망을 위한 실시간 고장 노드 탐지 기법 연구" , Journal of IEEK, vol. 51, no. 5, pp.20-28, May, 2014 None	Preparation	Domestic
42	Young-Kyu Lim, D.S. Kim, "CAN과 RTOS를 내장한 소형 실시간 설계 기법," Journal of IEEK, Vol. 51, No. 5, pp.207-215, May, 2014 None	Preparation	Domestic
41	K.S. Song, D.S. Kim, Y.S. Choi, "A Design of Message Oriented Management and Analysis Tool for Naval Combat Systems (함정전투시스템을 위한 메세지 지향 모델링 도구 설계)", Journal of IEEK, Vol.51, No.2, pp. 437-444, 2014. None	Preparation	Domestic
40	D.-S. Kim and S. K. Huh "Distributed Control Networks of Naval Combat Systems (함정 전투 시스템의 분산제어통신망 기술)", 한국정보통신학회지, Vol.13, No.2, pp.41-47, 2013. None	Preparation	Domestic
39	S. R. Kim, H. G. Lee, and Dong-Seong Kim, "V2V 프로토콜에서 실시간 전송을 위한 동적 CW 할당 기법", Journal of IEEK-TC, vol. 50, no. 2, pp. 80-87, Feb, 2013 None	Preparation	Domestic
38	Y. G. Lim, E. S. Lee, and Dong-Seong Kim, "교통류 모델을 이용한 VANET 환경에서의 전송파워 제어기법," Journal of IEEK-SC, vol. 50, no. 1, pp. 187-196, 2013 (N1) None	Preparation	Domestic
37	K. Y. Lee, K. S. Song, and Dong-Seong Kim, "군사용 위성통신망을 위한 동적 WDRR기반의 스케줄링 알고리즘", Journal of IEEK-SC, vol. 5, no. 1, pp. 196-204, 2013 (N1) None	Preparation	Domestic
36	J.H.Lee and Dong-Seong Kim "이원화된 필드버스 기반의 선박 엔진용 분산 제어 시스템의 설계 및 구현", Jounal of IEEK , vol. 49, no.2, pp.103-111, 2012 None	Preparation	Domestic
35	김동성, 허성길, "함정 전투 시스템의 분산 제어 통신망 기술", 한국정보통신학회 학회지, Vol.13, No. 2, pp. 41-47, 2012 None	Preparation	Domestic
34	J.-S.Yun, Y.-S.Kim, and Dong-Seong Kim, "원전용 실시간 제어망을 위한 실시간 이더넷 기술의 마스터 이중화 기법", Vol.48, No.4, pp.71-79, Journal of IEEK, SC편, 2011. None	Preparation	Domestic
33	J.-H.Lee, E.-S.Lee, and Dong-Seong Kim, "무선 네트워크에서 동적 히스테리시스 특성을 이용한 이동 노드의 가입 방법", Journal of IEEK-CI, vol. 48, no. 4, pp. 1-9, July 2011 None	Preparation	Domestic
32	J.-H.Lee, E.-S.Lee, and Dong-Seong Kim, "센서 네트워크의 이동 노드를 위한 효율적 네트워크 구성 방법", Journal of IEEK-CI, vol. 47, no. 6, pp. 113-123, Nov. 2010 None	Preparation	Domestic
31	Dong-Seong Kim and J.I.Lee, "Efficient GTS Allocation Method of Industrial IEEE 802.15.4 Network for Real-time Periodic I/O Data", Journal of Institute of Control, Robotics and Systems , Vol. 16, No. 5, pp. 510-516, May 2010. None	Preparation	Domestic
30	김성욱, 김동성 "스프링 댐퍼 특성을 이용한 네트워크 기반 군집 로봇의 경로 제어 기법", Institute of control, robotics and systems, vol. 16, No. 1, pp. 61-68, 2010. None	Accepted	Domestic
29	김동성, 권기협, "국제생산 메시지 규약을 이용한 산업용 분산 제어 시스템의 구현 및 응용 (Implementation and Applications of Industrial Distributed Control System using Manufacturing Message Specification)", 한국정보기술학회논문지, Vol.7, No.5, pp.25-34, 2009. None	Accepted	Domestic
28	권기협, 김동성 "Analysis of Application Message Protocol for Control Network in Green Power Systems", 제어로봇시스템학회논문지, Vol. 15, No.12, pp.89~96, 2009. None	Accepted	Domestic
27	J.W. Jung and Dong-Seong Kim, "Real-time Synchronization Algorithm for Industrial Hybrid Networks: CAN and Sensor Networks", Journal of Institute of Control, Robotics and Systems, Vol. 16, No. 2, pp. 194-201, 2010. None	Accepted	Domestic
26	김동성, 이정일 "실시간 혼합 트래픽을 위한 산업용 IEEE 802.15.4 망의 체계적 전송 기법", 대한전자공학회 논문지 CI편 Vol. 45, No. 6, pp. 18-26, Nov., 2008. None	Accepted	Domestic
25	이정일, 김동성 "공장 환경에서의 무선 제어 시스템을 위한 센서네트워크의 동적 스케줄링 기법에 대한 연구", 대한전자공학회 전 자공학회논문지-SC, Vol. 45, No. 2, pp. 45-54, 3월 2008. None	Accepted	Domestic
24	J. I. Lee and Dong-Seong Kim, "A Dynamic Backoff Adjustment Method of IEEE 802.15.4 Networks for Real-Time Sporadic Data Transmission", Journal of Control, Automation and Systems Engineering, Vol. 14, No. 2, pp. 318-325, Feb. 2008. None	Accepted	Domestic
23	Ji-Won Jung, SeungKi Lee, and Dong-Seonng Kim, "Common Industrial Protocol 에 기초한 유무선 혼합형 네트워크의 성능분석," Journal of Control, Automation and Systems Engineering, Vol. 13, No. 11, pp.1119-1127, November 2007. None	Accepted	Domestic
22	D. H. Choi and D-S. Kim, "Maximum Allowable Delay Bounds and Real-time Scheduling Method of Networked Discrete-time Control Systems", Journal of Control, Automation and Systems Engineering, Vol.12, No.7, pp.719-727, July 2006. None	Accepted	Domestic
21	Dong-Seong Kim, "Design and Implementation of Pet Dog Management", Journal of Korea Institute of Information and Communication Facilities Engineering, Vol.5, No.1, pp.26-38, 2006. None	Accepted	Domestic
20	H.H.Bae and Dong-Seong Kim, "Dynamic Power Management Structure for Energy Harvesting Pervasive Computing System", Journal of Institute Embedded Engineering, Vol.1, No.1, pp.1-7, 2006. None	Accepted	Domestic
19	J.M.Lee, K.J. Myung, D.-S. Kim, and W.H. Kwon, "Design and Implementation of Home Network Control Protocol for Networked Home Appliances", Journal of Korea Institute of Information & Communication Facilities Engineering, Vol.1, No.1, pp.26-38, 2002. None	Accepted	Domestic
18	Dong-Seong Kim, J.M.Lee, K.Y.Cho, and W.H.Kwon, "Home Network Message Specification of White Goods based on Power Line Communication", KIEE International Transactions on SC, Vol.3, No.11, pp.67-75, 2001. None	Accepted	Domestic
17	D.-S. Kim, D.-H. Choi, P. Mohapatra "Real-Time Scheduling Method of Descrete Networked Control Systems", Control Engineering Practice (IF: 2.616, ISSN: 0967-0661), vol. 17, no. 5, pp. 564-570, 2009. (N2) (A) None	Accepted	International
16	D.-S. Kim, W.H.Kwon, and H.J.Shin, "Development of Power Line based on Home Network System for Digital Home Appliance", Journal of Korea Institute of Electrical Engineering, Vol.49, No.11, pp.10-16, 2000. None	Accepted	Domestic
15	J.Y.Choi and D.-S. Kim, "On-line Learning Control of Nonlinear Systems using Local Affine Mapping-based Networks," Journal of Fuzzy and Intelligent Control System, Vol.5 , No.3, pp. 3-10, 1995. None	Accepted	Domestic
14	D.-H. Choi, D.-S. Kim, "Wireless Fieldbus for Networked Control System using LR-WPAN", International Journal of Control, Automation, and Systems (IF: 2.173, ISSN: 2005-4092), vol. 6, no. 1, pp. 1-7, 2008 (A) None	Accepted	International
13	J. M. Heo, K. R. Lee, D.-S. Kim, W. H. Kwon, "Adaptive Channel State Routing for Home Network Systems using Power Line Communications", IEEE Trans. on Consumer Electronics (IF: 1.802, ISSN: 0098-3063), vol. 53, no. 4, pp. 1410-1418, 2007 (A) None	Accepted	International
12	J.W.Jung, D.-S. Kim, "Wireless Management System for Pet Dog using Wireless Sensor Network", Lecture Notes on Computer Science (LNCS) (ISBN: 978-3-540-37366-7), pp. 423-438, 2007 (A) None	Accepted	International
11	S.-Y. Shin, H.-S. Park, D.-S. Kim, W.-H. Kwon "Performance Analysis of Single Bluetooth Piconet in Error-Prone Environments", Journal of Communication and Networks (IF: 1.252, ISSN: 1976-5541), vol. 9, no. 3, pp. 229-235, 2007 (A) None	Accepted	International
10	D.-S. Kim, S.-Y. Shin, "Wireless Pet-Dog Management System", Sensor Networks and Configuration (Fundamentals, Standards, Platforms, and Applications), (ISBN: 978-3-540-37366-7), pp. 423-348, 2007 (A) None	Accepted	International
9	K.-J. Myung, J.-M. Lee, W.-H. Kwon, D.-S. Kim, "Home Network Control Protocol for Home Network System" IEEE Trans. on Consumer Electronics (IF: 1.802, ISSN: 0098-3063), vol. 52, no. 3, pp. 802-810, 2006 (A) None	Accepted	International
8	D.-S. Kim, Z. J. Haas, "Virtual Factory Communication Systems Using ISO 9506 Standard and Its Application to Networked Factory Machine", The Industrial Communication Systems Handbook, CRC Press, FL, November, 2004 (A) None	Accepted	International
7	D.-S. Kim, W.-H. Kwon, Z. J. Haas, "Implementation of Virtual Factory Communication Systems using Manufacturing Message Specification," The Handbook of Industrial Information Technology, CRC Press, FL, June, 2004 (A) None	Accepted	International
6	D.-S. Kim, W.-H.Kwon, H.-S. Park , "Geometric Kinematics and Application to Mobile Robot", International Journal of Control, Automation and Systems (IF: 2.173, ISSN: 2005-4092), vol. 1, no. 3, pp. 376-384, 2003 (A) None	Accepted	International
5	D.-S. Kim, Y.-S. Lee, W.-H. Kwon, "Maximum Allowable Delay Bounds in Networked Control Systems", Control Engineering Practice (IF: 2.616. ISSN: 0967-0661), vol. 11, no. 11, pp. 1301-1313, 2003 (A) None	Accepted	International
4	D.-S. Kim, H.-J.Moon, W.-H.Kwon, Z. J. Haas, "Efficient Computation for Evaluating Stochastic Petri Nets using Algebraic Operations", International Journal of Control, Automation and Systems (IF: 2.173, ISSN: 2005-4092), vol. 1, no. 4, pp. 431-443, 2003 (A) None	Accepted	International
3	H.-S. Park, D.-S. Kim, W.-H. Kwon, "A Scheduling Method for Network-based Control Systems", IEEE Trans. on Control System Technology (IF: 4.883, ISSN : 1558-0865), vol. 10, no. 3, pp. 318-330, 2002 (A) None	Accepted	International
2	D.-S. Kim, J.-M. Lee, W.-H. Kwon, I.-K. Yuh, "Design and Implementation of Home Network System using UPnP middleware for Networked Appliances", IEEE Trans. on Consumer Electronics (IF: 1.802, ISSN: 0098-3063), vol. 48, no. 4, pp. 963-972, 2002 (A) None	Accepted	International
1	D.-S. Kim, K.-Y. Cho, W.-H. Kwon, Y.-I. Kwan, Y.-H.Kim, "Home Network Message Specification of White Goods and Its Application", IEEE Trans. on Consumer Electronics (IF: 1.802, ISSN: 0098-3063), vol. 48, no. 1, pp. 1-10, 2002 (A) None	Accepted	International

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