Report

Holycrab

May 28, 2019 - June 3, 2019

Papers

Chi-Yun Kim

[1] Intelligent Black Box Based on Smart Platform
[스마트플랫폼 기반의 지능형 블랙박스 설계 및 구현]

[2] Design Performance Analysis of Asymmetric Time Division Multiple Access Method for Improving Response Time and Throughput in Tactical Radio Communication
[전술 무선통신망의 응답시간 및 처리량 개선을 위한 비대칭 다중접속기법 설계 및 성능분석]

[3] Design of Condition Based Maintenance System using Machine Learning for Military Vehicle
[군용 차량을 위한 머신 러닝 기반 상태 기준 정비 시스템 설계]

90% Progress
Last Week's Progress

[1] Intelligent Black Box Based on Smart Platform
[스마트플랫폼 기반의 지능형 블랙박스 설계 및 구현]
- Research on how to minimize power consumption when transferring data & sensing
- Add Reference that relating to energy optimization
- Research on fault diagnosis that using machine learning

[2] Design Performance Analysis of Asymmetric Time Division Multiple Access Method for Improving Response Time and Throughput in Tactical Radio Communication
[전술 무선통신망의 응답시간 및 처리량 개선을 위한 비대칭 다중접속기법 설계 및 성능분석]
- Research on related papers

[3] Design of Condition Based Maintenance System using Machine Learning for Military Vehicle
[군용 차량을 위한 머신 러닝 기반 상태 기준 정비 시스템 설계]
- Research on frognostics techniques using machine learning
- Write Body and Conclusion

This Week Todo's

[1] Intelligent Black Box Based on Smart Platform
[스마트플랫폼 기반의 지능형 블랙박스 설계 및 구현]
- Research on how to minimize power consumption when transferring data & sensing
- Add Reference that relating to energy optimization
- Research on fault diagnosis that using machine learning

[2] Design Performance Analysis of Asymmetric Time Division Multiple Access Method for Improving Response Time and Throughput in Tactical Radio Communication
[전술 무선통신망의 응답시간 및 처리량 개선을 위한 비대칭 다중접속기법 설계 및 성능분석]
- Research on related papers

[3] Design of Condition Based Maintenance System using Machine Learning for Military Vehicle
[군용 차량을 위한 머신 러닝 기반 상태 기준 정비 시스템 설계]
- Receive final confirmation from Prof.Lee
- Submit to KICS summer

Project Progress

Measurement of Natural frequency of the Building

70% Progress
Last Week's Project

[1] Intelligent Black Box Based on Smart Platform
[스마트플랫폼 기반의 지능형 블랙박스 설계 및 구현]
- A Research on the Communication Techniques to Substitute Bluetooth
- Apply Machine Learning Algorithms that using Tensorflow


[2] Measurement of Natural frequency of the building
[빌딩의 고유진동수 측정]
- Survey to minimize battery consumption in idle state
- Study on the noise abatement technique in sensing
- Analyze collected data from OnoSooki and InoVibePro
- Eliminate noise from the collected data

This Week's Project

[1] Intelligent Black Box Based on Smart Platform
[스마트플랫폼 기반의 지능형 블랙박스 설계 및 구현]
- A Research on the Communication Techniques to Substitute Bluetooth
- Apply Machine Learning Algorithms that using Tensorflow


[2] Measurement of Natural frequency of the building
[빌딩의 고유진동수 측정]
- Survey to minimize battery consumption in idle state
- Study on the noise abatement technique in sensing
- Creating a Python-based data collection program
- Testing new sensor

Monthly Goals

[1] Study on python's Tensorflow
[2] Apply machine learning algorithm in an ongoing project
[3] Submit KICS summer

Annual Goals

[1] Try to submit a international conference