• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.10 no.6
• /
• pp.587-593
• /
• 2017

In this paper, we propose a method to solve the difficulties in constructing an environment capable of practical training on the theoretical contents of robot control field. We make a two-wheeled mobile robot with Segway structure using LEGO block. In order to demonstrate the validity of using the developed robot as a practical application of advanced control theory of robotics education such as dynamic system and nonlinear system, the robot takes a stable posture while balancing the change of gravity during running. The results of the experiment are shown. By presenting the results, the robots made using the LEGO block are used for practical training of advanced control theory of robotics. It can be used as a tool.

• Journal of Korea Society of Industrial Information Systems
• /
• v.27 no.4
• /
• pp.19-27
• /
• 2022

In general, the performance of ML(Machine Learning) application is determined by various factors such as the type of ML model, the size of model (number of parameters), hyperparameters setting during the training, and training data. In particular, the recognition accuracy of ML may be deteriorated or experienced overfitting problem if the amount of dada used for training is insufficient. Existing studies focusing on image recognition have widely used open datasets for training and evaluating the proposed ML models. However, for specific applications where the sensor used, the target of recognition, and the recognition situation are different, it is necessary to build the dataset manually. In this case, the performance of ML largely depends on the quantity and quality of the data. In this paper, training data used for motion recognition application is augmented using the kernel density estimation algorithm which is a type of non-parametric estimation method. We then compare and analyze the recognition accuracy of a ML application by varying the number of original data, kernel types and augmentation rate used for data augmentation. Finally experimental results show that the recognition accuracy is improved by up to 14.31% when using the narrow bandwidth Tophat kernel.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.25 no.2
• /
• pp.186-190
• /
• 2015

Intelligent vehicle plans motion and navigate itself based on the surrounding environment perception. Hence, the precise environment recognition is an essential part of self-driving vehicle. There exist many vulnerable road users (e.g. vehicle, pedestrians) on vehicular driving environment, the vehicle must percept all the dynamic obstacles accurately for safety. In this paper, we propose an multiple vehicle tracking algorithm using microwave radar. Our proposed system includes various special features. First, exceptional radar measurement model for vehicle, concentrated on the corner, is described by mixture density network (MDN), and applied to particle filter weighting. Also, to conquer the curse of dimensionality of particle filter and estimate the time-varying number of multi-target states, reversible jump markov chain monte carlo (RJMCMC) is used to sampling step of the proposed algorithm. The robustness of the proposed algorithm is demonstrated through several computer simulations.

• Journal of the Korean earth science society
• /
• v.25 no.8
• /
• pp.697-707
• /
• 2004

The 7th curriculum which was administered to high school science courses from 2002 asked for a revel specific curriculum. But those curriculums were not developed. The purpose of this research was to develop a level specific curriculum for high school science courses, apply it to high school science courses, and then investigate the effects of this curriculum through the change in attitude towards science and perception towards level specific curriculum. The results are as follows. 1) The two types of level specific curriculum for high school science course was developed. In the first type, the level specific curriculum instruction was conducted in the same class whereas, instruction was divided in the second one, according to the students' intellectual levels. 2) Result on the perception of the test showed that developed level specific curriculum was ineffective in changing the students' attitude towards science, even though they recognized the importance of the curriculum. This was because the students perceive science as a difficult and uninteresting subject.

• Journal of the Korean School Mathematics Society
• /
• v.11 no.1
• /
• pp.133-157
• /
• 2008

This paper is based on theory of Usiskin who defined inclusively the various concepts of algebra among many theories classifying a type of the algebra. For this purpose, we examined the curriculum of the algebra of Korea, America and Japan, then analyzed where the problems in "Letter and Formula" of the textbooks fall under Usiskin's concepts of algebra.

• Proceedings of the Korea Technology Innovation Society Conference
• /
• 2017.11a
• /
• pp.1245-1262
• /
• 2017

최근 범죄예측, 교통관리, 신원확인 등 다양한 목적으로 치안 분야에서 ICT 기술이 개발 이용되고 있다. 사물인터넷의 등장으로 인해 생성되는 데이터의 양이 폭발적으로 증가하고 있으며, 이를 통해 만들어진 빅데이터는 범죄분석 및 예방, 치안수요의 예측, 범죄 수사에 있어서 새로운 변화를 가져올 것으로 예고되고 있다. 새롭게 부각된 치안분야에서의 빅데이터 활용 서비스 사례로는 범죄 예측 서비스, 교통 관련 서비스, 영상 분석과 통합 관제 서비스, 웨어러블 폴리스캠 활용서비스, 신원 확인(바이오 인식 기술)서비스 등이 있다. 선진국에서는 이들 서비스를 개발하고 활용하기 위한 다양한 공공 연구조직이 설립되어 운영되고 있다. 본 고에서는 치안분야에서 빅데이터를 기반으로 한 국내외 서비스 사례와 함께 이를 수용하기 위한 바람직한 공공 연구조직에 대한 논의를 전개한다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2015.10a
• /
• pp.1396-1398
• /
• 2015

BCI (Brain Computer Interface)는 사람의 두뇌와 컴퓨터를 연결하는 '뇌-컴퓨터 인터페이스'를 나타내는 것이며 EEG(Electroencephalogram)을 주로 분석하여 인간의 행동이나 의도를 파악한다. 본 논문에서는 EEG를 이용한 행동인식의 하나로 졸음을 판단하는 방법을 제안한다. 제안방법에서는 MindWave를 이용하여 얻은 실험 데이터를 FFT를 이용하여 1초 단위로 스펙트럼을 분석하여 High-Alpha 영역의 시간에 따른 데이터 변화 패턴을 분석하여 졸음을 판단한다. 실험 결과, 100%의 최고 성능을 얻을 수 있었다.

• The Journal of the Korea Contents Association
• /
• v.18 no.5
• /
• pp.167-174
• /
• 2018

Japanese state has continuously tried to adapt itself to the social demands coming from rapidly greying population. Japanese government introduced the new social insurance system of elderly care, i.e. Long term Care Insurance with epoch-making changes in the Japanese welfare system. The most important aspects of the new system can be summarised as follows: 1) social insurance system of obligatory entry with paying premiums and co-payment 2) emphasis on the customer choice, competition, flexibility, free-market, relaxation of the regulation. This characteristics brought unexpected results of the emergence of ethnicity-centred contents of welfare services. As a selling point in freemarket and as a countermeasures against expected ethnic disadvantages, the Korean ethnic organisations brought the ethnic elements resulting in the diversified Japanese welfare services.

• Korean Security Journal
• /
• no.34
• /
• pp.259-278
• /
• 2013

With advances of information technology (IT) and the Internet, it became much easier to search and collect information through many different types of web search engine. Such information only restricted to the intelligence services became available to the public, and the increased open source changed the intelligence collection activities of governments. Open Source Intelligence (OSINT) was introduced to organize and analyze the large volumes of information. OSINT is actively used after the 9/11 terrorist attack, and the United States government invest a huge amount of budget to conduct research and develope technology about OSINT. Although many Western countries recognize the importance of OSINT and deal with open source as priority, South Korea has not fully understand the important role of OSINT. Therefore, this study introduces the fundamental principles of OSINT and provides practical examples of OSINT usage. OSINT is an effective source to prevent terrorist attacks as well as a variety of crimes. Extensive discussion and suggestions for future usages are provided.

• KOREAN JOURNAL OF CROP SCIENCE
• /
• v.50 no.spc1
• /
• pp.200-203
• /
• 2005

This study was performed to investigate the differences among three varieties of Mugwort by using the electronic nose. Volatile components from these products were discriminated by the $VaporPrint^{TM}$ without pretreatment. Pattern recognition was carried out, $VaporPrint^{TM}$ analysis showed the differences among locally produced ones. Polar derivative pattern for the collected mugwort using $VaporPrint^{TM}$ between Sajabalssuk and Sajuarissuk had no difference, but Ssajuarissuk nnd Injinssuk had a lot of difference. Thus aroma pattern between locally produced ones could be distinguished.