• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.867-874
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• 2023

Recently, many problems are occurring in the bee ecosystem due to rapid climate change. The decline in the bee population and changes in the flowering period are having a huge impact on the harvest of bee-keepers. Since it is impossible to continuously observe the beehives in the hive with the naked eye, most people rely on knowledge based on experience about the state of the hive.Therefore, interest is focused on smart beekeeping incorporating IoT technology. In particular, with regard to swarming, which is one of the most important parts of beekeeping, we know empirically that the swarming time can be determined by the sound of the queen bee, but there is no way to systematically analyze this with data.You may think that it can be done by simply recording the sound of the queen bee and analyzing it, but it does not solve various problems such as various noise issues around the hive and the inability to continuously record.In this study, we developed a system that records queen bee sounds in a real-time cloud system and analyzes sound patterns.After receiving real-time analog sound from the hive through multiple channels and converting it to digital, a sound pattern that was continuously output in the queen bee sound frequency band was discovered. By accessing the cloud system, you can monitor sounds around the hive, temperature/humidity inside the hive, weight, and internal movement data.The system developed in this study made it possible to analyze the sound patterns of the queen bee and learn about the situation inside the hive. Through this, it will be possible to predict the swarming period of bees or provide information to control the swarming period.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.471-477
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• 2019

The purpose of this study is to analyse the attacking pattern of the key player through plenty of passes on field hockey between the winning games and losing ones through the preliminary game and the tournament. It has shown that the Korean women national team on field hockey is analysed all the passes through the sportscode for the 6 games of the World-League Final, and is investigated the centrality through the social network analysis using the R analytic software. The result is followed : First, It has shown three tendencies on the preliminary games that it has shown a lower Degree-Centrality, a same with Closeness, and a higher Betweenness than the tournament. Second, It has also described on winning games that it has explained a lower Degree-Centrality, a same with Closeness, and a higher Betweenness than losing games. On the conclusion, it has revealed that Korean women national team on field hockey showed a tendency that prefer to use a counter-attacking. Based on these study, expect to be used as a way to analyze performance in the field.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.48 no.2
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• pp.64-70
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• 2011

Portable artificial electronic nose (E-nose) system suffers from noisy fluctuation in surroundings such as temperature, vapor concentration, and gas flow, because its measuring condition is not controled precisely as in the laboratory. It is important to develop a simple and robust vapor recognition technique applicable to this uncontrolled measurement, especially for the portable measuring and diagnostic system which are expanding its area with the improvements in micro bio sensor technology. This study used a PDA-based portable E-nose to collect the uncontrolled vapor measurement signals, and applied the image matching algorithm developed in the previous study on the measured signal to verify its robustness and improved accuracy in portable vapor recognition. The results showed not only its consistent performance under noisy fluctuation in the portable measurement signal, but also an advanced recognition accuracy for 2 similar vapor species which have been hard to discriminate with the conventional maximum sensitivity feature extraction method. The proposed method can be easily applied to the data processing of the ubiquitous sensor network (USN) which are usually exposed to various operating conditions. Furthermore, it will greatly help to realize portable medical diagnostic and environment monitoring system with its robust performance and high accuracy.

• Journal of Broadcast Engineering
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• v.9 no.4 s.25
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• pp.305-321
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• 2004

With the advent of the digital broadcasting, the audiences can access a large number of TV programs and their information through the multiple channels on various media devices. The access to a large number of TV programs can support a user for many chances with which he/she can sort and select the best one of them. However, the information overload on the user inevitably requires much effort with a lot of patience for finding his/her favorite programs. Therefore, it is useful to provide the persona1ized broadcasting service which assists the user to automatically find his/her favorite programs. As the growing requirements of the TV personalization, we introduce our automatic user preference learning algorithm which 1) analyzes a user's usage history on TV program contents: 2) extracts the user's watching pattern depending on a specific time and day and shows our automatic TV program recommendation system using MPEG-7 MDS (Multimedia Description Scheme: ISO/IEC 15938-5) and 3) automatically calculates the user's preference. For our experimental results, we have used TV audiences' watching history with the ages, genders and viewing times obtained from AC Nielson Korea. From our experimental results, we observed that our proposed algorithm of the automatic user preference learning algorithm based on the Bayesian network can effectively learn the user's preferences accordingly during the course of TV watching periods.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.1
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• pp.261-269
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• 2014

There are many researches on fast exponentiation algorithm which is used to implement a public key cryptosystem such as RSA. On the other hand, the malicious attacker has tried various side-channel attacks to extract the secret key. In these attacks, an attacker uses the power consumption or electromagnetic radiation of cryptographic devices which is measured during computation of exponentiation algorithm. In this paper, we propose a novel simple power analysis attack on m-ary exponentiation implementation. The core idea of our attack on m-ary exponentiation with pre-computation process is that an attacker controls the input message to identify the power consumption patterns which are related with secret key. Furthermore, we implement the m-ary exponentiation on evaluation board and apply our simple power analysis attack to it. As a result, we verify that the secret key can be revealed in experimental environment.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.2
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• pp.117-126
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• 2011

RSA-CRT algorithm is widely used to improve the performance of RSA algorithm. However, it is also vulnerable to side channel attacks like as general RSA. One of the power attacks on RSA-CRT, proposed by Boer et al., is a power analysis which utilizes reduction steps of RSA-CRT algorithm with equidistant chosen messages, called as ECMPA(Equidistant Chosen Messages Power Analysis) or MRED(Modular Reduction on Equidistant Data) analysis. This method is to find reduction output value r=xmodp which has the same equidistant patterns as equidistant messages. One can easily compute secret prime p from exposure of r. However, the result of analysis from a reduction step in [5] is remarkably different in our experiment from what Boer expected in [5]. Especially, we found that there are Ghost key patterns depending on the selection of attack bits and selected reduction algorithms. Thus, in this paper we propose several Ghost key patterns unknown to us until now, then we suggest enhanced and detailed analyzing methods.

• Journal of KIISE
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• v.44 no.9
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• pp.887-892
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• 2017

Brain-computer interface (BCI) is a technology that controls computer and transmits intention by measuring and analyzing electroencephalogram (EEG) signals generated in multi-channel during mental work. At this time, optimal EEG channel selection is necessary not only for convenience and speed of BCI but also for improvement in accuracy. The optimal channel is obtained by removing duplicate(redundant) channels or noisy channels. This paper propose a dual filter-based channel selection method to select the optimal EEG channel. The proposed method first removes duplicate channels using Spearman's rank correlation to eliminate redundancy between channels. Then, using F score, the relevance between channels and class labels is obtained, and only the top m channels are then selected. The proposed method can provide good classification accuracy by using features obtained from channels that are associated with class labels and have no duplicates. The proposed channel selection method greatly reduces the number of channels required while improving the average classification accuracy.

• Journal of the Korean Institute of Landscape Architecture
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• v.30 no.6
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• pp.119-127
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• 2003

본 연구는 수원시의 다양한 레크레이션의 수요증대와 지역주민을 위한 운동시설의 부족에 대응하기 위해 지역주민의 근린생활 체육시설을 확충하고, 수원시 연고의 삼성 블루윙즈 프로축구팀의 축구전용구장 및 연습구장 마련 및 2002널 월드컵 축구대회를 유치하고자 조성된 복합 스포츠판지에 대한 기본계획안이다. 개발방향은 1) 21세기의 생활패턴에 맞는 생활체육공간 조성, 2) 국제적 수준의 운동시설 및 인프라구축, 연중이용이 가능한 시민을 위한 커뮤니티 공간조성, 3) 친환경적이고 지속가능한 공간조성, 4) 복합적 토지 이용 개념을 도입하여 토지 활용도 및 재정 수입의 증대, 5) 쾌적한 보행시스템 제공, 6) 도시의 랜드마크로서 주변 도시체계와 연계성 강화, 7) 수원의 역사, 문화적 상징성 제고 등이다. 이를 위해 축구전용구장, 보조경기장, 잔디연습구장, 흙연습구장, 헬리포트장 능 축구전용구장 관련시설, 실내체육관, 실내 아이스링크 등 기타 체육시설, 야외 수영장, 농구장, 테니스장, 게이트볼장, 볼링장, 헬스장 등 생활체육시설, 스포츠용품 몰, 식음시설 등 편익시설, 야외공연장, 어린이정원, 영화관, 축구박물관 등 위락/문화시설, 산책로, 체력단련코스, 전망대 등 휴양시설, 그리고 주차장, 녹도, 녹지 등 기타 부대시설이 도입되었다. 본 연구는 종합체육공간이 단순히 체육시설이 모여 있는 곳이 아니라 시민들이 운동과 더불어 휴식, 등산, 놀이, 자연 학습 등 다양한 여가활동을 할 수 있도록 계획되었다. 상업시설, 커뮤니티 시설 등이 복합적으로 개발되어 있기 때문에 경기가 열릴 때뿐만 아니라 4계절 내내 주중, 주말 및 휴가기 간에 가족과 더불어 휴식을 취할 수 있는 레크레이션 및 커뮤니티 공간으로 중요한 역할을 하도록 계획된 새로운 개념의 체육공간이라는데 의의가 있다.

• The Journal of the Korea Contents Association
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• v.7 no.6
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• pp.99-106
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• 2007

This study aimed at finding out news viewership composition of the major 5 broadcasting companies in Korea and analysing the reasons behind their channel choice as we live in so-called the 'multi-channel era'. To figure out demographic features and channel preferences of viewers, the study focused on the 4 watcher types; channel loyalty type, brief news type, central watcher type and peripheral watcher type. The result shows that most viewers fall into the 'brief new type', which means that there is a close relation between life style changes and TV news-contents viewership. Channel preferences were found to differ according to demographic features of viewers like gender, age and professions.'Central Watcher' type was found to prefer KBS1; 'channel loyalty' type, MBC; 'peripheral watcher', SBS; and 'brief news' type, YTN, while only KBS2 has no distinctive viewership of its own.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.3
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• pp.587-601
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• 2016

In this paper we suggest method for scalar recoding which is both secure against SPA and DPA. Suggested method is countermeasure to power analysis attack through scalar recoding using negative expression. Suggested method ensures safety of SPA by recoding the operation to apply same pattern to each digit. Also, by generating the random recoding output according to random number, safety of DPA is ensured. We also implement precomputation table and modified scalar addition algorithm for addition to protect against SPA that targets digit's sign. Since suggested method itself can ensure safety to both SPA and DPA, it is more effective and efficient. Through suggested method, compared to previous scalar recoding that ensures safety to SPA and DPA, operation efficiency is increased by 11%.