• Title/Summary/Keyword: 배경지수

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A Study on Meaning of One-to-One Correspondence through the Operation of Matrix (행렬의 연산을 통해 본 일대일 대응의 의미에 관한 고찰)

  • Chung, Young-Woo;Kim, Boo-Yoon;Hwang, Jong-Chul;Kim, So-Young
    • School Mathematics
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    • v.13 no.3
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    • pp.405-422
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    • 2011
  • In this study, we consider the meaning of one-to-one correspondence through theoretical background under operation of matrix. On algebraic point of view, its significance is 'through one-to-one correspondence from a set with given structure, become a methods in order to induce an algebraic system in to a new set.' That is a key idea making isomorphic structure. Such process experiences necessity of mathematical fact, as well as the deep understanding of one-to-one correspon -dence. Also that becomes a base for develop a various mathematical concepts, such as matrix, exponential laws, symmetric difference, permutation and so on. This study help teachers and students to understand of mathematical concepts meaningfully and to facilitate teacher's professional development.

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Part-based Hand Detection Using HOG (HOG를 이용한 파트 기반 손 검출 알고리즘)

  • Baek, Jeonghyun;Kim, Jisu;Yoon, Changyong;Kim, Dong-Yeon;Kim, Euntai
    • 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.

Use of Simple Sequence Repeat (SSR) Markers for Variety Identification of Tomato (Lycopersicon esculentum) (Simple Sequence Repeat (SSR) Marker를 이용한 토마토 품종 식별)

  • Kwon, Yong-Sham;Park, Eun-Kyung;Bae, Kyung-Mi;Yi, Seung-In;Park, Soon-Gi;Cho, Il-Ho
    • Journal of Plant Biotechnology
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    • v.33 no.4
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    • pp.289-295
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    • 2006
  • This study was carried out to evaluate the suitability of simple sequence repeat (SSR) markers for varietal identification and genetic diversity in 28 commercial tomato varieties. The relationship between marker genotypes and 28 varieties was analyzed. Of the 219 pairs of SSR primers screened against ten tomato varieties, 18 pairs were highly polymorphic with polymorphism information content (PIC) ranging from 0.467 to 0.800. Among the polymorphic loci, two to nine SSR alleles were detected for each locus with an average of 3.3 alleles per locus. Genetic distances were estimated according to Jaccard's methods based on the probability that the amplified fragment from one genotype would be present in another genotype. These varieties were categorized into cherry and classic fruit groups corresponding to varietal types and genetic distance of cluster ranging from 0.35 to 0.97. The phonogram discriminated all varieties by marker genotypes. The SSR markers proved to be useful variety identification and genetic resource analysis of tomato.

Basic Studies on Development of Turn Penalty Functions in Signalized Intersections (신호교차로의 회전제약함수 개발을 위한 기초연구)

  • O, Sang-Jin;Kim, Tae-Yeong;Park, Byeong-Ho
    • Journal of Korean Society of Transportation
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    • v.27 no.1
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    • pp.157-167
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    • 2009
  • This study deals with the turn penalty functions in the urban transportation demand forecasting. The objectives are to develop the penalty functions of left-turn traffic in the case of signalized intersections, and to analyze the applicability of the functions to the traffic assignment models. This is based on the background that the existing models can not effectively account for the delays of left-turn traffic which is bigger than that of through traffic. In pursuing the above, this study gives particular attention to developing the penalty functions based on the degrees of saturation by simulation results of Transyt-7F, and analyzing the applicability of the functions by the case study of Cheongju. The major findings are the followings. First, two penalty functions developed according to the degrees of saturation, are evaluated to be all statistically significant. Second, the results that the above functions apply to the Cheongju network, are analyzed to be converging, though the iteration numbers increase. Third, the link volumes forecasted by turn penalty functions are evaluated to be better fitted to the observed data than those by the existing models. Finally, the differences of traffic volumes assigned by two functions, which are exponential and divided forms, are analyzed to be very small.

Adaptive thresholding for eliminating noises in 2-DE image (2차원 전기영동 영상에서 잡영을 제거하기 위한 적응적인 문턱값 결정)

  • Choi, Kwan-Deok;Kim, Mi-Ae;Yoon, Young-Woo
    • Journal of the Institute of Convergence Signal Processing
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    • v.9 no.1
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    • pp.1-9
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    • 2008
  • One of the problems for implementing the spot detection phase in the 2-DE gel image analysis program is the eliminating noises in the image. Remained noises after the preprocessing phase cause the over-segmented regions by the segmentation phase. To identify and exclude the over-segmented background regions, if we use the fixed thresholding method that is choosing an intensity value for the threshold, the spots that is invisible by the eyes but mean a very small amount proteins which have important role in the biological samples could be eliminated. This paper propose an adaptive thresholding method that come from an idea that is got on statistical analysing for the prominences of the peaks. The adaptive thresholding method works as following. Firstly we calculate an average prominence value curve and fit it to exponential function curve, as a result we get parameters for the exponential function. And then we calculate a threshold value by using the parameters and probability distribution of errors. Lastly we apply the threshold value to the region for determining the region is a noise or not. According to the probability distribution of errors, the reliability is 99.85% and we show the correctness of the proposed method by representing experiment results.

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Shot Change Detection Using Multiple Features and Binary Decision Tree (다수의 특징과 이진 분류 트리를 이용한 장면 전환 검출)

  • 홍승범;백중환
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.5C
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    • pp.514-522
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    • 2003
  • Contrary to the previous methods, in this paper, we propose an enhanced shot change detection method using multiple features and binary decision tree. The previous methods usually used single feature and fixed threshold between consecutive frames. However, contents such as color, shape, background, and texture change simultaneously at shot change points in a video sequence. Therefore, in this paper, we detect the shot changes effectively using multiple features, which are supplementary each other, rather than using single feature. In order to classify the shot changes, we use binary classification tree. According to this classification result, we extract important features among the multiple features and obtain threshold value for each feature. We also perform the cross-validation and droop-case to verify the performance of our method. From an experimental result, it was revealed that the EI of our method performed average of 2% better than that of the conventional shot change detection methods.

Image Contrast Enhancement Technique Using Clustering Algorithm (클러스터링 알고리듬을 이용한 영상 대비 향상 기법)

  • Kim, Nam-Jin;Kim, Yong-Soo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.3
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    • pp.310-315
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    • 2004
  • Image taken in the night can be low-contrast images because of poor environment and image transmission. We propose an algorithm that improves the acquired low-contrast image. MPEG-2 separates chrominance and illuminance, and compresses respectively because human vision is more sensitive to luminance. We extracted illumination and used K-means algorithm to find a proper crossover point automatically. We used K-means algorithm in the viewpoint that the problem of crossover point selection can be considered as the two-category classification problem. We divided an image into two subimages using the crossover point, and applied the histogram equalization method respectively. We used the index of fuzziness to evaluate the degree of improvement. We compare the results of the proposed method with those of other methods.

A Study on Electronic Security Guard's Security Performance on Job Satisfaction (기계경비원의 경비능력이 직무만족에 미치는 영향)

  • Shin, Jaehun
    • Journal of the Society of Disaster Information
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    • v.17 no.3
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    • pp.627-639
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    • 2021
  • Purpose: The purpose of this study is to examine the influence of electronic security guard's security performance on the job satisfaction and to make proposals on improvement of employment status and job satisfaction. Method: To accomplish the purpose, this study organized the theoretical background by referring to the preceding researches on the related field. Then, this study conducted a survey on electronic security guards and analyzed the results in statistical methods. Result: According to analysis results, electronic security guard's security performances including academic background, martial art skills, height, weight, and BMI index had a significant influence on factors composing the job satisfaction. Conclusion: To improve the electronic security guard's job satisfaction level, this study suggested measures for improving the wage system and reducing turnover rate. This study also suggested measures for strengthening the physical standards and strengthening the practical training for employment.

A Geo-statistical Assessment of Heavy Metal Pollution in the Soil Around a Ship Building Yard in Busan, Korea (통계지표를 활용한 부산지역 조선소 주변 토양 내 중금속 오염조사 연구)

  • Choi, Jung-Sik;Jeon, Soo kyung
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.24 no.7
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    • pp.907-915
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    • 2018
  • With the increase of metal usage in various industries, metal pollution and ecological toxicity in the environmental system have become a significant concern. A geo-statistical index has been widely used to determine contamination level with normalization through a background value. In this study, geo-statistical indexes such as an enrichment factor, accumulation index, and potential ecological risk index were used to assess metal pollution in soil at locations associated with shipbuilding manufacturing industries. Metal contamination, especially of Cu and Pb, was observed in some samples located closer to manufacturing sites. Enrichment factor and accumulation (IGEO) values were indicative of concerning levels of soil contamination in specific samples, and the soil contamination could be induced by anthropogenic sources. In further study, after more detailed sampling for soil and potential pollution sources, high interpretation techniques such as Pb isotope analysis and X-ray analysis will be needed to investigate source identification.

Acoustic design principles and the acoustical performance analysis of Incheon International Airport (인천국제공항의 음향설계원리 및 성능분석)

  • Haan, Chan-Hoon
    • The Journal of the Acoustical Society of Korea
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    • v.38 no.3
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    • pp.275-282
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    • 2019
  • In airport terminal, aural information is transmitted during 24 hours a day including announcement, background music and emergency control. So, clear sound is mostly necessary to transmitted to the passengers in airports. IIA (Incheon International Airport) is one of the largest airports accommodating 45 million people a year which have been built since 2001. There are currently three passenger terminals including Terminal 1 & 2, and boarding concourse. The $2^{nd}$ passenger terminal is under construction to expand the spaces which will be finished in 2020. The present work aims to explain the design principles of both architectural acoustics and electo-acoustics which have been applied to all the terminal buildings in IIA including ticketing counter, great hall, departure concourse and transportation center. Also, the acoustical performances of those spaces were examined. As a result, acoustic standards for airport were suggested. Architectural concepts for designing ceiling spaces and sound absorption treatments were suggested. Also, electro-acoustic design principles were commented.