• Title/Summary/Keyword: 교차 비교

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Design of Equilateral Triangular Microstrip Antennas for Circular Polarization (정삼각 마이크로스트립 원형편파 안테나 설계)

  • Hwang Ho-Soon;Lee Dong-Cheol;Lim Jung-Sup;Chang Jae-Sam;Lee Mon-Soo
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.43 no.8 s.350
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    • pp.103-109
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    • 2006
  • In this paper, single-feed equilateral triangular microstrip antennas(ETMA) for circular polarization(CP) are designed and studied experimentally. It is demonstrated that by embedding a narrow slot or a cross of unequal slot lengths in the triangular patch circularly polarized radiation RHCP(right-hand circularly polarized wave), LHCP(left-hand circularly polarized wave) of microstrip antennas can easily be achieved using by strategically positioned coaxial single probe feed. And the size of a triangular microstrip patch antenna is smaller than that of a conventional rectangular or circular patch at a given frequency. A single-feed ETMA with a horizontal narrow slot is printed on the substrate of 60 mils thick and the other ETMA with a corss slot of unequal slot lengths is printed on the same substrate. The antenna radiation characteristics are calculated by ENSEMBLE(Ver. 5.0) software, and compared with the experimental results. This results show that the antenna size reduction of about $17%{\sim}2l%$ is obtained as compared to the regular-size CP design.

A Comparison of Speech/Music Discrimination Features for Audio Indexing (오디오 인덱싱을 위한 음성/음악 분류 특징 비교)

  • 이경록;서봉수;김진영
    • The Journal of the Acoustical Society of Korea
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    • v.20 no.2
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    • pp.10-15
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    • 2001
  • In this paper, we describe the comparison between the combination of features using a speech and music discrimination, which is classifying between speech and music on audio signals. Audio signals are classified into 3classes (speech, music, speech and music) and 2classes (speech, music). Experiments carried out on three types of feature, Mel-cepstrum, energy, zero-crossings, and try to find a best combination between features to speech and music discrimination. We using a Gaussian Mixture Model (GMM) for discrimination algorithm and combine different features into a single vector prior to modeling the data with a GMM. In 3classes, the best result is achieved using Mel-cepstrum, energy and zero-crossings in a single feature vector (speech: 95.1%, music: 61.9%, speech & music: 55.5%). In 2classes, the best result is achieved using Mel-cepstrum, energy and Mel-cepstrum, energy, zero-crossings in a single feature vector (speech: 98.9%, music: 100%).

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Secrecy Performance Analysis of One-Bit Feedback-Based OSTBC in Cross-Polarized MIMO Channels (교차 편파를 이용한 MIMO 채널에서 1-비트 피드백 기반 OSTBC의 물리계층 보안 성능 분석)

  • Lee, Sangjun;Lee, In-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.2
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    • pp.301-307
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    • 2015
  • In this paper, we consider wiretap channels in the presence of an eavesdropper assuming spatially correlated MIMO(multiple-input multiple-output) channels, where we analyze a physical layer security performance of orthogonal space-time block code(OSTBC) using one-bit feedback assuming cross polarized antennas at each node. In this paper, we present a method to select a transmit-antenna group for OSTBC using one-bit feedback(O-OSTBC) and compare secrecy outage probabilities of various transmit-antenna grouping methods. Especially, we propose an efficient transmit-antenna grouping method by comparing secrecy outage probabilities of O-OSTBC and conventional OSTBC in highly correlated MIMO channels.

Smoke color analysis of the standard color models for fire video surveillance (화재 영상감시를 위한 표준 색상모델의 연기색상 분석)

  • Lee, Yong-Hun;Kim, Won-Ho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.9
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    • pp.4472-4477
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    • 2013
  • This paper describes the color features of smoke in each standard color model in order to present the most suitable color model for somke detection in video surveillance system. Histogram intersection technique is used to analyze the difference characteristics between color of smoke and color of non smoke. The considered standard color models are RGB, YCbCr, CIE-Lab, HSV, and if the calculated histogram intersection value is large for the considered color model, then the smoke spilt characteristics are not good in that color model. If the calculated histogram intersection value is small, then the smoke spilt characteristics are good in that color model. The analyzed result shows that the RGB and HSV color models are the most suitable for color model based smoke detection by performing respectively 0.14 and 0.156 for histogram intersection value.

Automatic Korean to English Cross Language Keyword Assignment Using MeSH Thesaurus (MeSH 시소러스를 이용한 한영 교차언어 키워드 자동 부여)

  • Lee Jae-Sung;Kim Mi-Suk;Oh Yong-Soon;Lee Young-Sung
    • The KIPS Transactions:PartB
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    • v.13B no.2 s.105
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    • pp.155-162
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    • 2006
  • The medical thesaurus, MeSH (Medical Subject Heading), has been used as a controlled vocabulary thesaurus for English medical paper indexing for a long time. In this paper, we propose an automatic cross language keyword assignment method, which assigns English MeSH index terms to the abstract of a Korean medical paper. We compare the performance with the indexing performance of human indexers and the authors. The procedure of index term assignment is that first extracting Korean MeSH terms from text, changing these terms into the corresponding English MeSH terms, and calculating the importance of the terms to find the highest rank terms as the keywords. For the process, an effective method to solve spacing variants problem is proposed. Experiment showed that the method solved the spacing variant problem and reduced the thesaurus space by about 42%. And the experiment also showed that the performance of automatic keyword assignment is much less than that of human indexers but is as good as that of authors.

A Study on Containerports Clustering Using Artificial Neural Network(Multilayer Perceptron and Radial Basis Function), Social Network, and Tabu Search Models with Empirical Verification of Clustering Using the Second Stage(Type IV) Cross-Efficiency Matrix Clustering Model (인공신경망모형(다층퍼셉트론, 방사형기저함수), 사회연결망모형, 타부서치모형을 이용한 컨테이너항만의 클러스터링 측정 및 2단계(Type IV) 교차효율성 메트릭스 군집모형을 이용한 실증적 검증에 관한 연구)

  • Park, Ro-Kyung
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.9 no.6
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    • pp.757-772
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    • 2019
  • The purpose of this paper is to measure the clustering change and analyze empirical results, and choose the clustering ports for Busan, Incheon, and Gwangyang ports by using Artificial Neural Network, Social Network, and Tabu Search models on 38 Asian container ports over the period 2007-2016. The models consider number of cranes, depth, birth length, and total area as inputs and container throughput as output. Followings are the main empirical results. First, the variables ranking order which affects the clustering according to artificial neural network are TEU, birth length, depth, total area, and number of cranes. Second, social network analysis shows the same clustering in the benevolent and aggressive models. Third, the efficiency of domestic ports are worsened after clustering using social network analysis and tabu search models. Forth, social network and tabu search models can increase the efficiency by 37% compared to that of the general CCR model. Fifth, according to the social network analysis and tabu search models, 3 Korean ports could be clustered with Asian ports like Busan Port(Kobe, Osaka, Port Klang, Tanjung Pelepas, and Manila), Incheon Port(Shahid Rajaee, and Gwangyang), and Gwangyang Port(Aqaba, Port Sulatan Qaboos, Dammam, Khor Fakkan, and Incheon). Korean seaport authority should introduce port improvement plans by using the methods used in this paper.

Classification of Heart Disease Using K-Nearest Neighbor Imputation (K-최근접 이웃 알고리즘을 활용한 심장병 진단 및 예측)

  • Park, Pyoung-Woo;Lee, Seok-Won
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.11a
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    • pp.742-745
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    • 2017
  • 본 논문은 심장질환 도메인에 데이터 마이닝 기법을 적용한 연구로, 기존 환자의 정보에 대하여 K-최근접 이웃 알고리즘을 통해 결측 값을 대체하고, 대표적인 예측 분류기인 나이브 베이지안, 소포트 벡터 머신, 그리고 다층 퍼셉트론을 적용하여 각각 결과를 비교 및 분석한다. 본 연구의 실험은 K 최적화 과정을 포함하고 10-겹 교차 검증 방식으로 수행되었으며, 비교 및 분석은 정확도와 카파 통계치를 통해 판별한다.

Improve Stereo Matching by considering the Characteristic Points of the Image and the Cost Function (영상의 특징점과 비용함수를 고려한 스테레오 정합개선)

  • Paik, Yaeung-Min;Choi, Hyun-Jun;Seo, Young-Ho;Kim, Dong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.7
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    • pp.1667-1679
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    • 2010
  • This thesis proposes an adaptive variable-sized matching window method using the characteristic points of the image and a method to increase the reliability of the cross-consistency check to raise the correctness of the final disparity image. The proposed adaptive variable-sized window method segments the image with the color information, finds the characteristic points in each segmented image, and varies the size of the matching window according to the existence of the characteristic points inside the window. Also the proposed cross-consistency check method processes the two cases with the cost values corresponding to the best disparity and the second-best disparity: when the cost values themselves are too large and when the difference between the two cost values are too small. The two proposed methods were experimented with the four test images provided by the Middleburry site. As the results from the experiments, the proposed adaptive variable-sized matching window method decreased up to 18.2% of error ratio and the proposed cross-consistency check method increased up to 7.4% of reliability.

Stress, Depressive Symptom, and Utilization of Professional Consultation according by Occupation Classification and Employment Status (직업분류 및 고용분류에 따른 스트레스, 우울증상, 의료기관 이용률)

  • An, Ji-Yeon;Lee, Seoung-Eun
    • The Journal of the Korea Contents Association
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    • v.14 no.2
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    • pp.409-420
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    • 2014
  • The purpose of this study is to examine the level of stress and depressive symptom and to assess the utilization of professional consultation. Data extracted from Community Health Survey (CHS), conducted by Korea Centers for Disease Control and Prevention. The subjects were 174,975 (19-65 years). In result, 'Managers', 'Professionals and related workers', 'Clerks', 'Service workers', and 'Sales workers', 'Equipment, machine operating assembling workers', and 'Armed forces' were more in risk of stress. However, theses groups were less in probability of utilization for stress consultation. Based on these findings, mental health screening program for detecting risk group among occupation classification and employment status will be essential. It may be necessary to have sustainable strategies for utilizing mental health service to reduce the level of stress and depressive symptom of workers.