Report

Holycrab

May 15, 2019 - May 21, 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 Military Vehicle Fault Frognostics System using Machine Learning
[머신 러닝을 이용한 국방용 차량 장비 고장 예지 시스템 설계]

40% Progress
Last Week's Progress

Chi-Yun Kim

[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 Military Vehicle Fault Frognostics System using Machine Learning
[머신 러닝을 이용한 국방용 차량 장비 고장 예지 시스템 설계]
- Finding ways to apply to Military areas
- Write Introduction and Body

This Week Todo's

Chi-Yun Kim

[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 Military Vehicle Fault Frognostics System using Machine Learning
[머신 러닝을 이용한 국방용 차량 장비 고장 예지 시스템 설계]
- Research on frognostics techniques using machine learning
- Write Body and Conclusion

Project Progress

Measurement of Natural frequency of the Building

50% 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 for improve transmission rate
- 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
- Make IoT sensor detect periodically according to preset times
- Implementing an IoT-sensor using a raspberry pi

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 for improve transmission rate
- 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
- Measure the OnoSooki and the InoVibePro at the same time and same place(Industrial Building 8F)

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