• Title/Summary/Keyword: distance threshold value

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1 Bit/Pixel Modulation Codes for Multi-Level Holographic Data Storage System (멀티레벨 홀로그래픽 데이터 저장장치를 위한 1비트/픽셀 변조부호)

  • Jeong, Seongkwon;Lee, Jaejin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.9
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    • pp.1667-1671
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    • 2015
  • Multi-level holographic data storage is a candidate for the next generation data storage system, since it can store more than one bit per pixel. It is possible to increase the number of codewords if the number of levels is increased, and the code with an appropriate selection of codewords can also increase the minimum distance. In this paper, we propose three multi-level modulation codes of the code rate 1 bit/pixel and compare the performance according to the minimum distance. The result shows that the code with small number of levels is better than that of large number of levels because it is hard to detect threshold value.

An Implementation of User Identification System Using Hrbrid Biomitic Distances (복합 생체 척도 거리를 이용한 사용자 인증시스템의 구현)

  • 주동현;김두영
    • Journal of the Institute of Convergence Signal Processing
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    • v.3 no.2
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    • pp.23-29
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    • 2002
  • In this paper we proposed the user identification system using hybrid biometric information and non-contact IC card to improve the accuracy of the system. The hybrid biometric information consists of the face image, the iris image, and the 4-digit voice password of user. And the non-contact IC card provides the base information of user If the distance between the sample hybrid biometric Information corresponding to the base information of user and the measured biometric information is less than the given threshold value, the identification is accepted. Otherwise it is rejected. Through the result of experimentation, this paper shows that the proposed method has better identification rate than the conventional identification method.

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A Study on the Resistance Welding of Metallic Sandwich Panel : Part 1 - Determination of Process Parameters (저항 용접을 이용한 금속 샌드위치 판재 접합에 관한 연구 : Part 1 - 공정변수의 선정)

  • Lee Sang-Min;Kim Jin-Beom;Na Suck-Joo
    • Journal of Welding and Joining
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    • v.23 no.6
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    • pp.49-54
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    • 2005
  • Inner Structured and Bonded(ISB) panel, a kind of metallic sandwich panel, consists of two thin skin plates bonded to a micro-patterned inner structure. Its overall thickness is $1\~3mm$and it has attractive properties such as ultra-lightweight, high efficiency in stiffness-to-weight and strength-to-weight ratio. In many previous studies, resistance welding, brazing and adhesive bonding are studied for joining the panel. However these methods did not consider productivity, but focused on structural characteristics of joined panels, so that the joining process is very complicated and expensive. In this paper, a new joining process with resistance welding is developed. Curved surface electrodes are used to consider the productivity and the stopper is used between electrodes during welding time to maintain the shape of inner structure. Welding time, gap of electrodes and distance between welding points are selected as the process parameters. By measuring the tensile load with respect to the variation of welding time and gap of electrodes, proper welding conditions are studied. Welding time is proper between 1.5-2.5cycle. If welding time is too long, then inner structures are damaged by overheating. Gap of electrode should be shorter than threshold value fur joint strength, when total thickness of inner structure and skin plate is 3.3mm, the threshold distance is 3.0mm.

Distance Measurement of the Multi Moving Objects using Parallel Stereo Camera in the Video Monitoring System (영상감시 시스템에서 평행식 스테레오 카메라를 이용한 다중 이동물체의 거리측정)

  • 김수인;이재수;손영우
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.18 no.1
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    • pp.137-145
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    • 2004
  • In this paper, a new algorithm for the segmentation of the multi moving objects at the 3 dimension space and the method of measuring the distance from the camera to the moving object by using stereo video monitoring system is proposed. It get the input image of left and right from the stereo video monitoring system, and the area of the multi moving objects segmented by using adaptive threshold and PRA(pixel recursive algorithm). Each of the object segmented by window mask, then each coordinate value and stereo disparity of the multi moving objects obtained from the window masks. The distance of the multi moving objects can be calculated by this disparity, the feature of the stereo vision system and the trigonometric function. From the experimental results, the error rate of a distance measurement be existed within 7.28%, therefore, in case of implementation the proposed algorithm, the stereo security system, the automatic moving robot system and the stereo remote control system will be applied practical application.

Development of Representative Curves for Classified Demand Patterns of the Electricity Customer

  • Yu, In-Hyeob;Lee, Jin-Ki;Ko, Jong-Min;Kim, Sun-Ic
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1379-1383
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    • 2005
  • Introducing the market into the electricity industry lets the multiple participants get into new competition. These multiple participants of the market need new business strategies for providing value added services to customer. Therefore they need the accurate customer information about the electricity demand. Demand characteristic is the most important one for analyzing customer information. In this study load profile data, which can be collected through the Automatic Meter Reading System, are analyzed for getting demand patterns of customer. The load profile data include electricity demand in 15 minutes interval. An algorithm for clustering similar demand patterns is developed using the load profile data. As results of classification, customers are separated into several groups. And the representative curves for the groups are generated. The number of groups is automatically generated. And it depends on the threshold value for distance to separate groups. The demand characteristics of the groups are discussed. Also, the compositions of demand contracts and standard industrial classification in each group are presented. It is expected that the classified curves will be used for tariff design, load forecasting, load management and so on. Also it will be a good infrastructure for making a value added service related to electricity.

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A genome-wide association study (GWAS) for pH value in the meat of Berkshire pigs

  • Park, Jun;Lee, Sang-Min;Park, Ja-Yeon;Na, Chong-Sam
    • Journal of Animal Science and Technology
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    • v.63 no.1
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    • pp.25-35
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    • 2021
  • The purpose of this study is to estimate the single nucleotide polymorphism (SNP) effect for pH values affecting Berkshire meat quality. A total of 39,603 SNPs from 1,978 heads after quality control and 882 pH values were used estimate SNP effect by single step genomic best linear unbiased prediction (ssGBLUP) method. The average physical distance between adjacent SNP pairs was 61.7kbp and the number and proportion of SNPs whose minor allele frequency was below 10% were 9,573 and 24.2%, respectively. The average of observed heterozygosity and polymorphic information content was 0.32 ± 0.16 and 0.26 ± 0.11, respectively and the estimate for average linkage disequilibrium was 0.40. The heritability of pH45m and pH24h were 0.10 and 0.15 respectively. SNPs with an absolute value more than 4 standard deviations from the mean were selected as threshold markers, among the selected SNPs, protein-coding genes of pH45m and pH24h were detected in 6 and 4 SNPs, respectively. The distribution of coding genes were detected at pH45m and were detected at pH24h.

An Interactive Multi-criteria Group Decision Making with the Minimum Distance Measure (최소 거리척도를 이용한 대화형 다기준 그룹 의사결정)

  • Cho, Namwoong;Kim, Jaehee;Kim, Sheung-Kown
    • Journal of Korean Institute of Industrial Engineers
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    • v.32 no.1
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    • pp.42-50
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    • 2006
  • The multi-criteria group decision making (MCGDM) problem is to determine the best compromise solution in a set of competing alternatives that are evaluated under conflicting criteria by decision maker (DM)s. In this paper, we propose a mixed-integer programming (MIP) model to solve MCGDM. The existing method based on minimizing a distance measure such as Median Approach can not guarantee the best compromise solution because the element of median point vector is defined with respect to each criteria separately. However, by considering all criteria simultaneously, we generate median point that is better for locating the best compromise solution. We also utilize the concept of spatial dispersion index (SDI) to produce a threshold value, which is used as a guideline to choose either the Utopian Approach or the Median Approach. And we suggest using CBITP (Convex hull of individual maxima Based Interactive Tchebycheff Procedure) to provide DMs with various Pareto-optimal solutions so that DMs have broad range of selection.

Effect of the Lumbar Range of Motion and Back Pain on Kinesiotaping of Erector Spinae Muscle (척주세움근의 키네시오 테이핑이 허리가동범위와 허리통증에 미치는 영향)

  • Park, Jonghang;Kim, Yoonhwan;Lee, Jaejun
    • Journal of The Korean Society of Integrative Medicine
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    • v.3 no.4
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    • pp.53-59
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    • 2015
  • Purpose : To retestify about the changes of the range of motion and pain from kinesiotaping the erector spinae muscle. Method : Targeted the number of 30 people with low back pain and measured lumbar range of motion and pain before kinesiotaping on the erector spinae muscle. After that, the measured value were compared and analyzed. Result : First, before and after kinesiotaping, doing skin distraction test, the changes of the skin distance within each experiment group all statistically showed meaningful differences(p<0.05). Secondly, before and after kinesiotaping and testing pain threshold, it statistically showed meaningful differences(p<0.05). Conclusion : Both two groups showed that the change of the skin distance increased and the pain averagely decreased than before taping. Therefore, kinesiotaping is considered that it affected the low back, the range of motion and pain.

Suitability Analysis of Eco-corridor for Korean Water Deer (Hydropotes Inermis) based on GIS and Fuzzy Function - A Case Study of Chuncheon City - (GIS와 퍼지함수(Fuzzy function)를 활용한 고라니의 생태통로 적지분석 - 춘천시를 대상으로 -)

  • Lee, Do-Hyung;Kil, Sung-Ho;Jeon, Seong-Woo
    • Journal of KIBIM
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    • v.8 no.4
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    • pp.72-79
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    • 2018
  • Rapid developments around the world have resulted in urban expansion, habitat destruction, habitat fragmentation, and pollution problems, which are the main reasons for the decline in biological diversity. The United Nations warns that many animals and plants will die out in the near future if this continues. This study was performed to propose a map of eco-corridor suitability analysis of Korean water deer(Hydropotes Inermis) to enhance biodiversity in Chuncheon city. Eight factors affecting habitat suitability were elevation, aspect, slope, forest type, distance to the road, distance to the stream, land use and green connectivity. Previous study analysis on the mobility behaviour of the Korean water deer(Hydropotes Inermis) produced a habitat suitability map by determining the threshold and assigning a value between 0 and 1 depending on the habitat suitability using the fuzzy function. A method of analysis was proposed for a number of eco-corridor through comparative analysis of the data from the produced habitat suitability map and the road-kill point. The previous studies were focused on Backdudaegan region and national parks except for urban cities. The potential habitat map of Korean water deer could be helpful as a way to prevent habitat disconnection and increase species diversity in urban areas.

Surface Curvature Based 3D Pace Image Recognition Using Depth Weighted Hausdorff Distance (표면 곡률을 이용하여 깊이 가중치 Hausdorff 거리를 적용한 3차원 얼굴 영상 인식)

  • Lee Yeung hak;Shim Jae chang
    • Journal of Korea Multimedia Society
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    • v.8 no.1
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    • pp.34-45
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    • 2005
  • In this paper, a novel implementation of a person verification system based on depth-weighted Hausdorff distance (DWHD) using the surface curvature of the face is proposed. The definition of Hausdorff distance is a measure of the correspondence of two point sets. The approach works by finding the nose tip that has a protrusion shape on the face. In feature recognition of 3D face image, one has to take into consideration the orientated frontal posture to normalize after extracting face area from original image. The binary images are extracted by using the threshold values for the curvature value of surface for the person which has differential depth and surface characteristic information. The proposed DWHD measure for comparing two pixel sets were used, because it is simple and robust. In the experimental results, the minimum curvature which has low pixel distribution achieves recognition rate of 98% among the proposed methods.

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