• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.6
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• pp.1488-1492
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• 2010

USN(Ubiquitous Sensor Network) is the network that widely applies for life of human being. It works out to sense, storage, process, deliver every kind of appliances and environmental information from the stucktags and sensors. And it is possible to utilize to measure and monitor about the place of environmental pollution which is difficult for human to install. It's studied constantly since it be able to compose easily more subminiature, low-power, low-cost than previous one. And also it spotlights an important field of study, graft the green IT and IT of which the environment and IT unite stragically onto the Network. This study realize a IAQM(Indoor Air Quility Management) sensing mechanism composition under the network and suggest the application of Environment monitoring system outlook to measure an Environment element.

• Journal of the Korea Computer Graphics Society
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• v.21 no.3
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• pp.36-45
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• 2015

It is important subject of research in engineering and natural science field that creating continuing high-definition image from very large volume data. The necessity of software that helps analyze useful information in data has improved by effectively showing visual image information of high resolution data with visualization technique. In this paper, we designed multi-platform visualization system based on client-server to analyze and express earth environment data effectively constructed with observation and prediction. The visualization server comprised of cluster transfers data to clients through parallel/distributed computing, and the client is developed to be operated in various platform and visualize data. In addition, we aim user-friendly program through multi-touch, sensor and have made realistic simulation image with image-based lighting technique.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.1
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• pp.140-152
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• 2016

It is very important for the competitiveness and sustainable management of enterprises that the rapid changes in the managerial environments quickly and accurately are responded. For example, the large-scale investment accompanied by bad alternatives in accordance with misunderstanding of the managerial environments yields the huge cost and effort to modify and improve. In firm management, the quality of products and the productivity are influenced by changes of the endogenous factors yielded in manufacturing process and the exogenous factors as market, etc. These changes include not only changes in 4M (man, machine, material, method) but also those in the market, competitors, and technologies in the process of commodification, i.e., first, such disturbances make dispersion of the process big and odd. By Shewhart chart it can be checked that the process monitored is control-in or out. Business administration executes activities for input stabilization by monitoring changes in 4Ms, comparing with the standards, and taking measures for any abnormality. Second, TRM (technology road map) is to prospect product deployment and technological trend by predicting technologies in the competitive environment as the market, and to suggest the future directions of business. So, TRM must be modified and improved according to DR (design review) stages and changes in mass-production like input material change. Therefore, a role of TRM in input stabilization for reducing cost and man-hour is important. This study purposed to suggest that the environment changes are classified into endogenous factors and exogenous factors in production process, and then, quality and productivity should be stabilized efficiently through connection between TRM and input stabilization, and to prove that it is more effective for the display industry to connect TRM with input stabilization rather than to use TRM separately.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.10
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• pp.3-10
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• 2012

The visible light communication takes advantages of LED and PD for communication and is considered as a next generation wireless communication technology. It can support variety indoor applications. Especially, Visible LAN service has drawn much attention due to high data rate and no interference with existing WPAN system as well as high efficiency in illumination. However, existing MAC protocol occurs a high communication delay due to uplink collision and backoff time. In this paper, to reduce packet delay, we propose an enhanced MAC protocol based on FDD where the time difference between uplink frame and downlink frame transmission is utilized. Through computer simulations, we verified that the proposed MAC protocol outperforms the existing MAC protocol in terms of average packet delay.

• Proceedings of the KIPE Conference
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• 2010.07a
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• pp.238-239
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• 2010

주거 상업용 건물에 있어 최근 TV, LED 조명, 컴퓨터, IT 기기들과 같은 직류를 사용하는 부하가 점차 증가함에 따라 기존의 교류 배전 기반의 건물 전력구조에서 에너지절감을 위한 하나의 방안으로 직류기반의 건물 배전구조에 대한 도입에 대한 연구가 활발히 이뤄지고 있다. 또한 직류 형태의 전원인 태양광 발전, 연료전지 등의 신재생 에너지와 가정 및 전기자동차용 배터리의 등장은 직류 기반 전력구조가 가지는 강점을 더욱 부각시키고 있다. 직류 배전 시스템은 기존 교류 배전에서 직류부하를 위한 다중의 전력 변환 과정을 최소화함으로서 전원 및 부하에서 소모되는 에너지를 절감하여 전력시장 내 전체적인 탄소배출량 저감에 기여할 수 있을 것으로 고려되어지고 있다. 이는 직류배전 시스템의 에너지 저감 효용성 이외 기존 교류배전 대비 부하단 부품 수의 감소에 따른 신뢰성 향상 및 가격 저감, 무효전력 고려사항의 제거 등 많은 장점을 가지기 때문이다. 본 논문에서는 소용량 건물에 직류배전 구조가 도입될 경우 실현 가능성이 높은 대표적 직류 배전 구조들을 Functional Modeling 기법을 통해 모델링하며, 시뮬레이션을 통해 기존의 교류 배전 건물과 함께 각각의 전력계 구조에 대한 효율 및 장단점들을 정성적으로 비교하고, 구현에 필요한 고려사항들을 제시한다.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.6
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• pp.539-544
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• 2013

In this paper, we was designed three-dimensional face recognition algorithm using polynomial based RBFNNs and proposed method to calculate the recognition performance. In case of two-dimensional face recognition, the recognition performance is reduced by the external environment like facial pose and lighting. In order to compensate for these shortcomings, we perform face recognition by obtaining three-dimensional images. obtain face image using three-dimension scanner before the face recognition and obtain the front facial form using pose-compensation. And the depth value of the face is extracting using Point Signature method. The extracted data as high-dimensional data may cause problems in accompany the training and recognition. so use dimension reduction data using PCA algorithm. accompany parameter optimization using optimization algorithm for effective training. Each recognition performance confirm using PSO, DE, GA algorithm.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.6
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• pp.551-557
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• 2013

In intelligent robot research, hand gesture recognition has been an important issue. And techniques that recognize simple gestures are commercialized in smart phone, smart TV for swiping screen or volume control. For gesture recognition, robust hand detection is important and necessary but it is challenging because hand shape is complex and hard to be detected in cluttered background, variant illumination. In this paper, we propose efficient hand detection algorithm for detecting pointing hand for recognition of place where user pointed. To minimize false detections, ROIs are generated within the compact search region using skin color detection result. The ROIs are verified by HOG-SVM and pointing direction is computed by both detection results of head-shoulder and hand. In experiment, it is shown that proposed method shows good performance for hand detection.

• Journal of Internet Computing and Services
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• v.10 no.4
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• pp.25-33
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• 2009

In the paper, we proposed a new system to retrieve 3D wrinkle data based on stereo images. Usually, 3D reconstruction based on stereo images or video is very popular and it is the research focus, which has been applied for culture heritage, building and other scene. The target is object measurement, the scene depth calculation and 3D data obtained. There are several challenges in our research. First, it is hard to take the full information wrinkle images by cameras because of light influence, skin with non-rigid object and camera performance. We design a particular computer vision system to take winkle images with a long length camera lens. Second, it is difficult to get the dense stereo data because of the hard skin texture image segmentation and corner detection. We focus on semi-dense stereo matching algorithm for the wrinkle depth. Compared with the 3D scanner, our system is much cheaper and compared with the physical modeling based method, our system is more flexible with high performance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.8
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• pp.5195-5200
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• 2014

White LEDs are expected to be applied widely as a lighting system. To make white LED chips, one requires a mixture with silicon and a phosphor coating on a LED blue chip. The process of preparing a mixture with silicon using phosphor involves the use of discarded phosphor in the chip process. Reducing the costs of chip production depends on many factors, such as the mixture errors, exposure over time of silicon, and changes in the characteristics of blue chip. This paper reports the characteristics of a white LED chip manufactured through a reproduction process of derelict phosphor. This method was applicable to a real LED flashlight. A derelict phosphor chip showed similar results to a normal white chip for the degradation of cd 3.2[Cd] and 3.6[Cd], color temperature, 57[K] and 58[K], and maximum white wavelength 444.3[nm] and 449.8[nm]. These results are expected to make ea great contribution to cost reduction.

• Journal of Digital Contents Society
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• v.7 no.1
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• pp.67-74
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• 2006

In current video-conferencing systems. user's face movements are restricted by fixed camera, therefore it is inconvenient to users. To solve this problem, tracking of face movements is needed. Tracking using whole face needs much computing time and whole face is difficult to define as an one feature. Thus, using several feature points in face is more desirable to track face movements efficiently. This paper addresses an effective eye location algorithm which is essential process of automatic human face tracking system for natural video-conferencing. The location of eye is very important information for face tracking, as eye has most clear and simplest attribute in face. The proposed algorithm is applied to candidate face regions from the face region extraction. It is not sensitive to lighting conditions and has no restriction on face size and face with glasses. The proposed algorithm shows very encouraging results from experiments on video-conferencing environments.