• Title/Summary/Keyword: communication means

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Scanning Probe Microscopy Study on the Degradation of Optical Recoding Disks by Environmental Factors (광디스크의 노화에 관한 주사 탐침 현미경 연구)

  • Yoon, Man-Young;Shin, Hyun-Chang
    • Journal of the Korean Graphic Arts Communication Society
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    • v.29 no.3
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    • pp.97-104
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    • 2011
  • The storing ability of information of optical disks directly depends on the physical property of recording unit cells. It means that the degradation of optical disks ultimately causes the loss of the physical and chemical properties of recording unit cells and leads also information, too. We investigated the degradation and life time of optical disks which tell us the longevity of the preservation of information. Optical disks were aged using the accelerated aging system and studied by optical reflectivity spectroscopy and atomic force microscopy(AFM), and the preservation environment of electronic media in National central library of Korea also were analysed. Results show that the double reflective coated optical disks have good preservation of recording information but revealed some deformation of dye area in the AFM images. It means that we should include the mechanical and chemical degradation of the optical disks in the life time expectation evaluation.

Lip Detection Algorithm Using Color Clustering (색상 군집화를 이용한 입술탐지 알고리즘)

  • Jeong, Jongmyeon;Choi, Jiyun;Seo, Ji Hyuk;Lee, Se Jun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2012.07a
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    • pp.277-278
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    • 2012
  • 본 논문에서는 색상 군집화를 이용한 입술탐지 알고리즘을 제안한다. 이를 위해 이미 많이 알려져 있는 AdaBoost를 이용한 얼굴탐지를 수행한다. 탐지된 얼굴영역에 Lab 컬러시스템을 적용 시킨 후 입술픽셀의 특징에 따른 색상 마커를 사용하여 피부영역을 추출한다. 추출된 피부영역에 대하여 K-means 색상 군집화를 통해 입술영역을 추출한다. 그리고 실험을 통해 입술탐지 결과를 확인하였다.

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An Efficient K-means Clustering Algorithm using Prediction (예측을 이용한 효율적인 K-Means 알고리즘)

  • Tae-Chang Jee;Hyunjin Lee;Yillbyung Lee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2008.11a
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    • pp.3-4
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    • 2008
  • 본 논문에서 k-means 군집화 알고리즘을 효율적으로 적용하는 방법을 제안했다. 제안하는 알고리즘의 특징을 속도 향상을 위해 예측 데이터를 이용한 것이다. 군집화 알고리즘의 각 단계에서 군집을 변경할 데이터만 최인접 군집을 계산함으로써 계산 시간을 줄일 수 있었다. 제안하는 알고리즘의 성능 비교를 위해서 KMHybrid 와 비교했다. 제안하는 알고리즘은 데이터의 차원이 큰 경우에 KMHybrid 보다 높은 속도 향상을 보였다.

k-means clustering analysis of a movie poster colors using OpenCV, and recommendation system (OpenCV를 활용한 k-means clustering 기반의 포스터 색감 분석 기법 및 추천 시스템)

  • Kim, Tae Hong;OH, Sujin;Kim, Ung-Mo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.569-572
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    • 2018
  • 본 연구는 영화 포스터를 대상으로 OpenCV를 활용하여 k-means clustering 기반의 색감을 분석하는 기법을 제안한다. 또한 이를 활용하여 영화 포스터 간의 유사도를 구하고 특정 영화와 대표색을 가지는 영화를 추천하는 시스템을 제안한다. 이를 위해 본 연구에서 다음과 같은 가정을 기반으로 한다. 첫 번째, 포스터는 해당 영화를 가장 잘 나타내는 이미지로, 포스터의 색감은 영화의 전반적인 분위기를 가진다. 두 번째, 영화 사이에 유사한 색감을 가진다면, 해당 영화들은 유사한 분위기를 가진다. 본 연구에서는 2단계로 나누어 연구를 진행한다. 우선 k-means clustering 기법을 통하여 데이터를 전처리 하여 영화별 대표색을 선정한다. 이 때, 선정된 대표색을 이용하여 각 영화간 색감 유사도를 분석한 결과를 통해, 같은 장르의 영화도는 유사도가 높음을 확인할 수 있었다. 다음으로 앞의 색감 유사도 분석을 통하여 특정 영화와 높은 유사도를 가지는 영화를 추천한다. 본 연구에서 추천된 영화는 기존의 영화 선택 기준에 비하여 사용자 본인의 취향을 반영한다. 본 연구 내용이 영화를 추천하는 과정에서 반영된다면 추천 시스템의 정확도와 사용자 만족도 향상에 기여할 것으로 기대된다.

Performance Evaluation of k-means and k-medoids in WSN Routing Protocols

  • SeaYoung, Park;Dai Yeol, Yun;Chi-Gon, Hwang;Daesung, Lee
    • Journal of information and communication convergence engineering
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    • v.20 no.4
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    • pp.259-264
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    • 2022
  • In wireless sensor networks, sensor nodes are often deployed in large numbers in places that are difficult for humans to access. However, the energy of the sensor node is limited. Therefore, one of the most important considerations when designing routing protocols in wireless sensor networks is minimizing the energy consumption of each sensor node. When the energy of a wireless sensor node is exhausted, the node can no longer be used. Various protocols are being designed to minimize energy consumption and maintain long-term network life. Therefore, we proposed KOCED, an optimal cluster K-means algorithm that considers the distances between cluster centers, nodes, and residual energies. I would like to perform a performance evaluation on the KOCED protocol. This is a study for energy efficiency and validation. The purpose of this study is to present performance evaluation factors by comparing the K-means algorithm and the K-medoids algorithm, one of the recently introduced machine learning techniques, with the KOCED protocol.

The Japanese Factors Influencing the Formation and Development of Modern Corporate: Public Relations Means and Activities in Korea (한국의 기업 PR 수단 및 활동의 발전과정에 관한 연구: 일본의 영향을 중심으로)

  • Seon, Hye-Jin
    • Korean journal of communication and information
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    • v.34
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    • pp.63-97
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    • 2006
  • This study examined the Japanese factors influencing on the formation and development of modern corporate Public Relations means and activities in Korea. It centers on the introduction and acceptance of CIP, corporate Public Relations advertising, house organ in dealing with corporate Public Relations Communication means and corporate philanthropy through corporate foundation, the Public Relations activities of the economic world in case of corporate Public Relations activities. It analyzed the Japanese factors by examining the emphasis of Public Relations activities and the practical use of communication means relating to corporate Public Relations, focusing on the specific character of corporate Public Relations activities. Centering on the area related to corporate Public Relations from the standpoint of historical development, it approached the point at issue selected as the subject of it through comparing the state of things between Korea and Japan. The results show that Japanese influences have been exerted widely on the formation and development of corporate Public Relations means and activities in Korea. However, it leaves no objection that Japan accepted Public Relations theories and practices of the United States, the birthplace and suzerain state of Public Relations, in the beginning and developmental stages. Therefore, U.S. influences cannot be denied in terms of Public Relations in Korea although it was accepted and developed after introduced from Japan.

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A Distributed Processes Communication Control Mechanism Based on Monitor Concepts Implemented Through Simulation Using Semaphore

  • 김동규
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.16 no.4
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    • pp.382-395
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    • 1991
  • A general purpose distributed processes communication control mechanism is a typical approach used for synchronizing concurrent processes involved in communication. The mechanism can provide a framework on which the layered communication architectures and protocols are efficiently implemented. The mechanism is realized under restricted environment where monitor facility is not available by means of simulation using semaphore.

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The Solution of Insufficiency of Radio Frequency Spectrum in Republic of Kazakhstan

  • Abishev Olzhas;Jo Dong-Kwan;Chung Joong-Soo
    • Journal of information and communication convergence engineering
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    • v.4 no.2
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    • pp.53-57
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    • 2006
  • The objective of this paper is to propose a system by means of which the utilization of radio frequency. spectrum may be improved from the state of extreme inefficiency at the present time in Kazakhstan to a state of efficiency and equilibrium in the future.

A Novel Approach towards use of Adaptive Multiple Kernels in Interval Type-2 Possibilistic Fuzzy C-Means (적응적 Multiple Kernels을 이용한 Interval Type-2 Possibilistic Fuzzy C-Means 방법)

  • Joo, Won-Hee;Rhee, Frank Chung-Hoon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.24 no.5
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    • pp.529-535
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    • 2014
  • In this paper, we propose a hybrid approach towards multiple kernels interval type-2 possibilistic fuzzy C-means(PFCM) based on interval type-2 possibilistic fuzzy c-means(IT2PFCM) and possibilistic fuzzy c-means using multiple kernels( PFCM-MK). In case of noisy data or overlapping cluster prototypes, fuzzy C-means gives poor performance in comparison to possibilistic fuzzy C-means(PFCM). Moreover, to address the uncertainty associated with fuzzifier parameter m, interval type-2 possibilistic fuzzy C-means(PFCM) is used. Most of the practical data available are complex and non-linearly separable. In such cases using Gaussian kernels proves helpful. Therefore, in order to overcome all these issues, we have integrated multiple kernels possibilistic fuzzy C-means(PFCM) into interval type-2 possibilistic fuzzy C-means(IT2PFCM) and propose the idea of multiple kernels based interval type-2 possibilistic fuzzy C-means(IT2PFCM-MK).