• Annual Conference of KIPS
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• 2024.10a
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• pp.1142-1143
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• 2024

본 연구는 개인 맞춤형 요가 동작 추천 시스템을 개발하여 사용자의 요가 경험과 목표에 맞는 동작을 추천하고 실시간 자세 교정을 지원하는 것을 목표로 한다. 미디어 파이프와 서포트 벡터 머신(SVM) 알고리즘을 활용하여 사용자의 신체 관절 포인트를 실시간으로 추적하고, 이를 통해 정확한 자세 분석과 피드백을 제공한다. 해당 웹서비스의 데이터베이스는 Supabase를 통해 운영되어 사용자의 정보와 설문 조사 결과를 저장하며, Python Flask를 기반으로 한 백엔드 시스템으로 효율적인 데이터 처리와 API 연동이 가능하다. HTML, CSS, JavaScript를 사용한 프론트엔드 개발로 사용자에게 직관적인 인터페이스를 제공하였다.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.6
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• pp.1109-1120
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• 2019

In the field of VLBI, If the quality of the connected network between the VLBI station and the correlation center is ensured, the existing inefficiency of repeatedly storing the observation data in each station and the correlation center can be overcome. In other words, the data center can be unified with the correlation center where data analysis is performed, which can improve data processing speed and productivity. In this paper, we design a massive VLBI data system that directly transmits and stores the observation data stream obtained from the VLBI station to the correlation center via the high - speed network KREONET. Based on this system, VLBI test observations confirmed that the observation data was stored perfectly in the recording system of the correlation center without a single packet loss.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.140-141
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• 2017

Big data analysis, in the large amount of data stored as the data warehouse which it refers the process of discovering meaningful new correlations, patterns, trends and creating new values. Thus, Big data analysis is an effective analysis of various big data that exist all over the world such as social big data, machine to machine (M2M) sensor data, and corporate customer relationship management data. In the big data era, it has become more important to effectively analyze not only structured data that is well organized in the database, but also unstructured big data such as the internet, social network services, and explosively generated web documents, e-mails, and social data in mobile environments. By the way, a meta analysis refers to a statistical literature synthesis method from the quantitative results of many known empirical studies. We reviewed a total of 750 samples among 50 studies published on the topic related as IDT between 2000 and 2017 in Korea.

• Proceedings of the KIPE Conference
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• 2016.07a
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• pp.89-90
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• 2016

인버터에 사용되는 전력용 반도체 소자의 정션 온도는 모듈의 보호 및 수명 예측에 중요한 영향을 미친다. 온도를 추정하기 위해 제조사에서 제공되는 데이터 시트로부터 피라미터를 찾아 입력하게 되는데, 온도, 전류 및 $R_g$ 저항 등의 요인에 의해 이 파라미터가 변경된다. 본 논문은 온도 추정 과정에서 사용되는 파라미터에 온도에 따라 변동되는 성분을 선형화하여 추가하여 현재 온도에 맞는 파라미터를 계산해 낼 수 있는 방법에 관한 것으로 데이터 시트로부터 미리 계산된 계수 값을 이용하여 수식적으로 온도 의존성을 반영할 수 있다.이를 이용하여 부하 전류, 스위칭 주파수, DC Link 전압 등의 변동에 따라 정션 온도를 실시간으로 추정하였으며, iGBT 의 상단에 온도 센서를 부착하여 추정결과를 검증하였다. 본 방법을 통해 파라미터의 온도 의존성을 수식적으로 반영할 수 있으므로 파라미터를 저장하는 인버터의 데이터 저장 공간을 최소화 할 수 있다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.6
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• pp.1495-1502
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• 2015

Dashboard camera is important system to store the variable data that not only video but also non-visual information that state of vehicle such as accelerometer, speed, direction. Non-visual information include variable data that can't visualization, so it used important evidence to figure out the situation in accident. It could be missed to non-visual information what can be prove the case in the just digital video forensic procedure. In this paper, We proposal the digital forensic analysis procedure for dashboard camera to all data in dashboard camera extract and analysis data for investigating traffic accident case. And I analyze to some products in with this digital forensic analysis procedure.

• The KIPS Transactions:PartA
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• v.17A no.4
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• pp.181-188
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• 2010

In this study, we suggest the system to analyze network users' action patterns by using Data-Mining Technique. We installed Network Tap to implement the analysis system of network action and copied the network packet. The copied packet is stored at the database through MainMemoryDB(MMDB) of the high-speed. The stored data analyze the users' action patterns by using Data-Mining Technique and then report the results to the network manager on real-time. Also, we applied the standard XML document exchange method to share the data between different systems. We propose this action pattern analysis system operated embedded type of SetToBox to install easily and support low price.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.267-269
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• 2016

In this paper, we implement a Smart Mailbox using the Arduino and Bluetooth. Smart Mailbox alarm system was combining to the general mailbox. If a mail is arrived to the ultrasonic sensor mounted on the mailbox Smart Mailbox recognizes the mail and sends the smartphone data in real time through the Bluetooth module. Also it stores ultrasonic sensor data in Arduino when bluetooth communication is interrupted. Again it implemented a system for transferring the stored data when the bluetooth communication is made.

• The Journal of Korean Institute of Next Generation Computing
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• v.13 no.5
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• pp.7-18
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• 2017

Recently, the number of SNS user has rapidly increased due to smart device industry development and also the amount of generated data is exponentially increasing. In the twitter, Text data generated by user is a key issue to research because it involves events, accidents, reputations of products, and brand images. Twitter has become a channel for users to receive and exchange information. An important characteristic of Twitter is its realtime. Earthquakes, floods and suicides event among the various events should be analyzed rapidly for immediately applying to events. It is necessary to collect tweets related to the event in order to analyze the events. But it is difficult to find all tweets related to the event using normal keywords. In order to solve such a mentioned above, this paper proposes A Generation and Matching Method of Normal-Transient Dictionary for realtime topic detection. Normal dictionaries consist of general keywords(event: suicide-death-loop, death, die, hang oneself, etc) related to events. Whereas transient dictionaries consist of transient keywords(event: suicide-names and information of celebrities, information of social issues) related to events. Experimental results show that matching method using two dictionary finds more tweets related to the event than a simple keyword search.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.45 no.4
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• pp.42-50
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• 2008

The real-time bio-signal monitoring system based on the ZigBee and SIP/RTP has proposed and implemented for telemedicine but that has some problems at the stabilities to transmit bio-signal from the sensors to the other sides. In this paper, we designed and implemented a real-time bio-signal monitoring system that is focused on the reliability and efficiency for transmitting bio-signal at real-time. We designed the system to have enhanced architecture and performance in the ubiquitous sensor network, SIP/RTP real-time transmission and management of the database. The Bluetooth network is combined with ZigBee network to distribute traffic of the ECG and the other bio-signal. The modified and multiplied RTP session is used to ensure real-time transmission of ECG, other bio-signals and speech information on the internet. The modified ECG compression method based on DWLT and MSVQ is used to reduce data rate for storing ECG to the database. Finally we implemented a system that has improved performance for transmitting bio-signal from the sensors to the monitoring console and database. This implemented system makes possible to make various applications to serve U-health care services.

• KIPS Transactions on Computer and Communication Systems
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• v.5 no.11
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• pp.427-438
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• 2016

Car blackboxes record the information and status of driving. Since blackboxes are commonly used in daily life, the usage of video data recorded from blackboxes is increasing for investigating. Investigators use a own analysis tool suitable for their blackbox provided by the manufacturer in order to check the data. But the tools are not enough to use in the digital forensic analysis because they are dependent on a specific model of blackbox and provides ungeneralized functions. Moreover, if the manufacturer is bankrupt, then their own tools can not be obtained also. Therefore, the way data are stored in the blackboxes which are now in the market are investigated and the features and limitations which have blackbox's own analysis tools are checked. And a comprehensive tool for the analysis of blackboxes is designed and implemented as in this paper.