• Journal of KIISE:Computing Practices and Letters
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• v.15 no.5
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• pp.331-344
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• 2009

Recently, it is expected that the agricultural and stockbreeding industry are damaged by the China-Japan-South Korea FTA and FTA between the United States and South Korea. After free trade, it is increasing to import crops, aquatic products, and livestock which are produced in a foreign land. But it is affected negatively to the trust relationships and markets, because of breaking it out that low grade foreign products are turned into domestic products. For this reason, we need the traceability management system. In this paper, it designs and implements the traceability management system using RFID and USN providing distribution traceability information as well as the traceability information of the growth environment, automatic control according to the facility growing and monitoring of the storehouse. The implemented whole systems consist of the growth environment monitoring and the traceability management. First, the growth environment monitoring shows the environment of plantation and automatic controller of the storehouse and growing facility. This growth environment monitoring information provides the detailed information about growth environment and writing the farming diary automatically by producer. Second, the traceability management provides all of the traceability information such as production, shipment and consumption to consumers. The traceability management system that has been designed and implemented using RFID and USN in this paper, provides the u-IT agriculture to producer and the reliability about agricultural products. In addition, this system provides the foundation data to operate GAP and HACCP, and becomes the advantaged agricultural products of the interior of a country by application of this system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2000.10a
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• pp.590-594
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• 2000

One of the most important factors for a leather quality inspection is its surface condition. So far a leather quality level has been discriminated by human's eye inspection, But, these kinds of method needs a lot of labor time and cause decision mistakes from an optical illusion. It means leather quality inspection is very subjective and there is no consistency. In this study, we present computer vision based a leather quality inspection system using an Artificial intelligence. Suggested system ran give standard spec for a leather quality and take human inspection duty place.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.4
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• pp.195-200
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• 2012

This paper introduces Web Accessibility to web pages, which is the basic method of obtaining information in modern Internet. Also we explore the system that is capable of examine whether the corresponding web pages are following the accessibility regulation. In order to examine web pages, we need to classify all the objects that web page contains. And the classified objects are to be examined by the standards of Web Accessibility. And also this paper introduces the mobile translation system for web accessibility.

• The Journal of Korean Association of Computer Education
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• v.6 no.4
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• pp.195-207
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• 2003

The Seventh Curriculum uses not only individual assessment but also team assessment method that organizes and solves assignments by team unit. It also helps students to learn cooperation and responsibility and share the ideas and process of the team project with other students through class presentation. It is also cooperative learning which is performed by several students together. Therefore, the assessment of team project is required to synthetically assess the performance process not the itself. This thesis will examine the actual problems about team project assessment and analyze related literatures. Then, this study designs and implements a practical system which alleviates the burden of teachers in charge of a team project assessment and improves reliability and validity in assessing team projects through multilateral assessment aiming at process as well as result objectives.

• Convergence Security Journal
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• v.16 no.3_2
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• pp.25-32
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• 2016

Drone refers to an unmanned flying system according to the remote control. That is a remote control systems on the ground or a system that automatically or semi auto-piloted system without pilot on board. Drones have been used and developed before for military purposes. However there are currently utilized in a variety of areas such as logistics and distribution of relief supplies disaster areas, wireless Internet connection, TV, video shooting and disaster observation, tracking criminals etc. Especially it can be actively used in activities such as search or the structure of the disaster site, and may be able to detect the movement of people and an attacker using an infrared camera at night. Drones are very effective for private security.

• The Transactions of the Korea Information Processing Society
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• v.1 no.3
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• pp.319-326
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• 1994

Automatic control has been for the most part applied to linear systems where ti can be approximately formalized. In case that it is not definitely established the mathematical modelling to control objects, it requires manual control strategies which put under the human rule. In this paper, it constructs an FLC (Fuzzy Logic Controller) in order to turn a hand control into an automatic control in the domain of swimming pool that has been almost absolutely dependant on a skilled worker's experience. Genetic algorithms upgrade the knowledge which is acquired from human expert, using by FLC, so as to maintain knowledge in the very optimal way. It also designs an algorithm that modifies the rule base and the membership function at the same time, and ultimately will show that it can get better result than human controllers.

• The Journal of the Acoustical Society of Korea
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• v.28 no.1
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• pp.32-43
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• 2009

In this paper, we improve the performance of cardiac disorder classification by continuous heart sound signals using automatic segmentation and extreme learning machine (ELM). The accuracy of the conventional cardiac disorder classification systems degrades because murmurs and click sounds contained in the abnormal heart sound signals cause incorrect or missing starting points of the first (S1) and the second heart pulses (S2) in the automatic segmentation stage, In order to reduce the performance degradation due to segmentation errors, we find the positions of the S1 and S2 pulses, modify them using the time difference of S1 or S2, and extract a single period of heart sound signals. We then obtain a feature vector consisting of the mel-scaled filter bank energy coefficients and the envelope of uniform-sized sub-segments from the single-period heart sound signals. To classify the heart disorders, we use ELM with a single hidden layer. In cardiac disorder classification experiments with 9 cardiac disorder categories, the proposed method shows the classification accuracy of 81.6% and achieves the highest classification accuracy among ELM, multi-layer perceptron (MLP), support vector machine (SVM), and hidden Markov model (HMM).

• Journal of Korean Society of Environmental Engineers
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• v.32 no.2
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• pp.131-140
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• 2010

Zero waste clean city was visualized by designing the environmental fundamental facilities such as automated waste collection and bio-energizing system of domestic waste, which was categorized into food and combustible waste from urban area. The biomass circulation position was applied to the domestic waste collection position combined with bio-energizing system in the zero waste clean city. Bio-energizing system consisted of bio-gasification, bio-fuel and bioenergy-circulation process. Food wastes were treated by bio-gasification with anaerobic digestion, and combustible wastes were made of bio-fuel with pyrolysis/drying. Biogas and bio-fuel was utilized into the electric generation or boiler heat in bioenergy-circulation process. The emission of carbon dioxide(CO2) and construction fee of the environmental fundamental facilities related with domestic waste was estimated in the existing city and zero waste clean city, assuming the amount of food waste 35 ton/day, combustible waste 20 ton/day from domestic area. Consequently, 2.7 times lower carbon dioxide emission and 15% construction fee of the environmental fundamental facilities related with domestic waste were obtained from the zero waste clean city by comparing with existing city.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.142-144
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• 2008

한국전력공사(이하 한전)에서는 배전계통의 최적운영을 위하여 계통운영에 필요한 기술을 발굴하여 축적하는데 많은 노력을 기울여 왔으며, 계통운영의 핵심 툴인 배전자동화 시스템을 통하여 관련기술을 축적해오고 있다. 우리나라처럼 배전자동화 시스템을 전력회사에서 자체적으로 개발하여 활용하는 사례는 전 세계적으로 유일하며, 이를 기반으로 해외 전력시장에 배전자동화 시스템을 수출하기 위하여 활발한 활동을 지속적으로 추진되고 있다. 배전자동화 시스템을 이용하면 원격으로 현장에 있는 배전자동화기기를 감시, 제어, 조작, 정정이 가능한 기본기능이 구현가능하고, 각종 계통운영에 필요한 기술계산, 즉 전압강하계산, 보호협조검토, 표준조작지시서(SOP)의 생성, 상시개방점 위치조정으로 손실최소화, 분산전원 연계계통 기술검토의 자동처리가 가능해진다. 기술계산프로그램은 최초 개발 당시인 2002년에는 배전자동화시스템 주장치가 설치된 장소인 온라인 상태에서만 사용이 가능하여 사용상 제약을 가지고 있었으나, 이를 개선하고자 2006년 10월 배전자동화기반 오프라인형 기술계산프로그램을 개발하였고 이를 지속적으로 업그레이드를 추진하여 활용해오고 있다. 배전자동화기반 오프라인형 기술계산프로그램은 배전자동화주장치에서 데이터를 추출하여 배전자동화주장치가 아닌 일반PC나 노트북에서도 배전자동화시스템에 내장된 배전계통 정보 즉, 선로길이 및 전력선 제원 등을 직접 이용하므로 각종 기술계산을 신속하고 정확하게 수행하는 것이 가능하게 되었다. 따라서 이를 지속적으로 활용하고 성능개선을 추진하여 배전계통 운영시 신뢰도 제고에 크게 기여할 것으로 기대되고 있다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.229-233
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• 2005

모집단의 최적군집 수를 자동으로 결정하고 군집내의 분산은 최소로 하고 군집 간의 분산은 최대로 하는 최적 군집화에 대한 연구는 대부분의 지능형 시스템에서 필요로 하는 모형전략이다. 하지만 아직도 대부분의 군집화 과정에서 분석가의 주관적인 경험에 의존하여 군집수가 결정되어 군집화가 이루어지고 있다. 예를 들어 K-평균 군집화 알고리즘에서도 초기에 K 값을 결정해 주어야 한다. 모집단을 제대로 대표하지 못한 K 값에 의한 군집화 결과는 심각한 오류를 범하게 된다. 본 논문에서는 통계적 학습이론을 이용하여 이러한 문제점을 해결하려고 하였다. VC-차원에 의한 Support Vector를 이용하여 최적의 군집화 기법을 제안하였다. 제안 방법의 성능 평가를 위하여 UCI 기계학습 데이터를 이용하여 객관적인 실험을 수행하였다.