• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권4호
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• pp.782-804
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• 2011

In video-based recognition systems, stationary cameras are used to monitor an area of interest. These systems focus on a segmentation of the foreground in the video stream and the recognition of the events occurring in that area. The usual approach to discriminating the foreground from the video sequence is background subtraction. This paper presents a novel background subtraction method based on a probabilistic approach. We represent the posterior probability of the foreground based on the current image and all past images and derive an updated method. Furthermore, we present an efficient fusion method for the color and edge information in order to overcome the difficulties of existing background subtraction methods that use only color information. The suggested method is applied to synthetic data and real video streams, and its robust performance is demonstrated through experimentation.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1991년도 하계학술대회 논문집
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• pp.870-873
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• 1991

In this paper, We present demodulation and synchronization method of phase shift keying signal using Double Frequency Vector Technique for Reference Vector. 2nd Harmonic Vector for Reference Vector is utilized in discriminating between noise and carrier signal, and in producting correlation value for data bit logical level. And we applied this demodulator to Automatic Meter Reading System being communicated with electric distribution power lines.

• 전기학회논문지
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• 제56권5호
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• pp.854-859
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• 2007

A wind farm consists of many wind generator(WG)s therefore, it is generally a complex power system. A wind farm as a distributed generation(DG) affects utility power system. If a conventional protection schemes are applied, it is difficult to detect faults correctly and the schemes can't provide proper coordination in some cases. This paper presents a protection algorithm for a wind farm which consists of a looped collection circuit. Because the proposed algorithm can distinguish between an internal fault and an external fault in a wind farm, The proposed algorithm can disconnect the faulted section in a wind farm. This algorithm is based on an overcurrent protection technique with the change of the ratio of the output current of a generator to the current of the looped line connected to each generator to collect the each generator's power. In addition, operating time of the algorithm is shortened by using the voltage drop at a generator collection point. The performance of the proposed algorithm was verified under various fault conditions using PSCAD/EMTDC simulations.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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• pp.41-44
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• 2008

In this paper, major species of tree were discriminated in compartment by using LiDAR data and optic imagery. This is an important work in forest field. A current digital stock map has created the aerial photo and collecting survey data. Unlike high resolution imagery, LiDAR data is not influenced by topographic effects since it is an active sensory system. LiDAR system can measure three dimension information of individual tree. And the main methods of this study were to extract reliable the individual tree and analysis techniques to facilitate the used LiDAR data for calculating tree crown 2D parameter. We should estimate the forest inventory for calculating parameter. 2D parameter has need of area, perimeter, diameter, height, crown shape, etc. Eventually, major species of tree were determined the tree parameters, compared a digital stock map.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권12호
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• pp.4489-4501
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• 2014

We propose a novel lane detection method based on classification in image sequences. Both structural and statistical features of the extracted bright shape are applied to the neural network for finding correct lane marks. The features used in this paper are shown to have strong discriminating power to locate correct traffic lanes. The traffic lanes detected in the current frame is also used to estimate the traffic lane if the lane detection fails in the next frame. The proposed method is fast enough to apply for real-time systems; the average processing time is less than 2msec. Also the scheme of the local illumination compensation allows robust lane detection at nighttime. Therefore, this method can be widely used in intelligence transportation systems such as driver assistance, lane change assistance, lane departure warning and autonomous vehicles.

• 대한전기학회논문지:시스템및제어부문D
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• 제54권4호
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• pp.251-258
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• 2005

Automatic document classification may differ significantly according to the characteristics of documents that are subject to classification, as well as classifier's performance. This research identifies e-mail document's characteristics to apply a three-step preprocessing algorithm that can minimize e-mail document's atypical characteristics. In the first 5go, uncertain based sampling algorithm that used Mean Absolute Deviation(MAD), is used to address the question of selection learning document for the rule generation at the time of classification. In the subsequent stage, Weighted vlaue assigning method by attribute is applied to increase the discriminating capability of the terms that appear on the title on the e-mail document characteristic level. in the third and last stage, accuracy level during classification by each category is increased by using Naive Bayesian Presumptive Algorithm's Dynamic Threshold. And, we implemented an E-Mail Recommendtion System using a three-step preprocessing algorithm the enable users for direct and optimal classification with the recommendation of the applicable category when a mail arrives.

• Molecules and Cells
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• 제40권1호
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• pp.10-16
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• 2017

When peripheral axons are damaged, neuronal injury signaling pathways induce transcriptional changes that support axon regeneration and consequent functional recovery. The recent development of bioinformatics techniques has allowed for the identification of many of the regeneration-associated genes that are regulated by neural injury, yet it remains unclear how global changes in transcriptome are coordinated. In this article, we review recent studies on the epigenetic mechanisms orchestrating changes in gene expression in response to nerve injury. We highlight the importance of epigenetic mechanisms in discriminating efficient axon regeneration in the peripheral nervous system and very limited axon regrowth in the central nervous system and discuss the therapeutic potential of targeting epigenetic regulators to improve neural recovery.

• 대한한의학원전학회지
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• 제29권1호
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• pp.1-15
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• 2016

Objectives : The purpose of this study is to investigate the method of setting up logic and estimate Fang Youzhi's work through Shanghanluntiaobian. Methods : Wang Shuhe's old edition Shanghanlun and Fang Youzhi's Shanghanluntiaobian were compared and several essential provisions were analyzed and addressed the positive and negative aspects of Fang Youzhi's revising old edition Shanghanlun mixed bamboo tablets. Results : Fang Youzhi's changing Bianmaifa("辨脈法") and Pingmaifa("平脈法") and placement Bianchishiyemaizhengbingzhi chapter after Liujingbingmaizhengbingzhi for discriminating convulsion dampness summer heat stroke from febrile diseases is appropriate. Fang Youzhi's deletion Shanghanli("傷寒例") chapter that has a guiding characteristics shows his editorial policy. Fang Youzhi's addition Bianwenbingfengwenzabingmaizhengbingzhi chapter is for discriminating febrile disease from epidemic febrile disease wind warmth syndrome miscellaneous disease and it indicates Shanghanlun is a book of treatment after differentiation of syndromes containing epidemic febrile disease and miscellaneous disease. Through Fang Youzhi's revising method I can see several positive aspects. First he tried to refine the logic of the content of Shanghanlun and accord with an actual situation. Second he shows Shanghanlun is a book of treatment after differentiation of syndromes containing epidemic febrile disease and miscellaneous disease and tried to see Shanghanlun clearly. A criticism of the Preserving Old Edition Shanghanlun group could interrupt flexibility and creative thinking reading Shanghanlun and a criticism to the Sangangdingli Principles of the several exegetists is a productive criticism because medicine treats human being so it cannot be completed by a logic. Conclusions : All of these processes are Fang Youzhi's endeavour for strengthening the system and logicality of the old edition Shanghanlun and it is meaningful to show a method to read Shanghanlun to beginners.

• 대한인간공학회지
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• 제29권2호
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• pp.189-196
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• 2010

The study is to find relative EEG power spectrum and pattern of coherence discriminating attentive and inattentive hand movements. Eight undergraduate students aged from 20 to 27 who had not hand disability participated in this study. Participants were asked to perform visuo-motor task. EEG was measured at C3 in 10~20 international system and four areas orthogonally directed 2.5cm away from C3. Significant result discriminating movement and rest was found through coherence analysis between movement areas or movement area and non-movement area, but was individually different. Because it was anticipated that major factors caused by the differences among individuals were attributed to the attention of the subjects, relative power of alpha and beta bands was identified. As a result, significant relative powers of alpha and beta bands were found in a group of high coherence level, but were not found in a group of low level. Next, participants were divided into two groups according to relative powers of alpha and beta bands. The comparison between two groups was performed. As a result, the coherence of the alpha band in the attentive group was greater than that of the inattentive group. It was found that the coherence of the beta band in the inattentive group was happening. Therefore, individual differences of coherence were influenced by attention. The significant coherence patterns that could discriminate attentive movement and inattentive movement were found.

• 한국심리학회지 : 문화 및 사회문제
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• 제18권3호
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• pp.415-433
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• 2012

본 연구는 위험한 운전행동을 일으킬 수 있는 운전자의 성격과 태도요인, 즉 운전행동 결정요인의 영향력을 밝히고, 이들 요인을 통해 위험운전자를 판별해낼 수 있는 타당한 방법을 개발하기 위해 시행되었다. 성인 운전자 534명을 대상으로 조사한 결과, 다섯 가지의 운전행동 결정요인들(문제회피성향, 이익/자극 추구, 대인불안, 대인분노, 공격성)은 운전자의 다양한 위험운전행동들에 통계적으로 유의한 수준의 영향력을 미치는 것으로 확인되었으며, 이들 요인을 이용하여 운전자들을 위험도에 따라 별개의 집단(일반운전자, 비의도적 위험운전자, 의도적 위험운전자)으로 구분할 수 있었다. 이 같은 결과는 운전자의 성격과 태도와 같은 심리적 요인들을 통해 운전자의 위험행동 수준을 예측하는 것이 가능하다는 것을 의미한다. 따라서 추후 연구들을 통해 본 연구에서 다룬 운전행동 결정요인 모델과 그 기준 점수체계를 보완한다면, 운전자의 위험성향을 사전에 예측하고 문제점을 확인하여 그에 따른 차별적 안전운전 교육서비스를 제공하는데 도움이 될 것으로 기대한다.