• Title/Summary/Keyword: 유연한 알고리즘

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Design and Performance Evaluation of the Secure Transmission Module for Three-dimensional Medical Image System based on Web PACS (3차원 의료영상시스템을 위한 웹 PACS 기반 보안전송모듈의 설계 및 성능평가)

  • Kim, Jungchae;Yoo, Sun Kook
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.3
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    • pp.179-186
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    • 2013
  • PACS is a medical system for digital medical images, and PACS expand to web-based service using public network, DICOM files should be protected from the man-in-the-middle attack because they have personal medical record. To solve the problem, we designed flexible secure transmission system using IPSec and adopted to a web-based three-dimensional medical image system. And next, we performed the performance evaluation changing integrity and encryption algorithm using DICOM volume dataset. At that time, combinations of the algorithm was 'DES-MD5', 'DES-SHA1', '3DES-MD5', and '3DES-SHA1, and the experiment was performed on our test-bed. In experimental result, the overall performance was affected by encryption algorithms than integrity algorithms, DES was approximately 50% of throughput degradation and 3DES was about to 65% of throughput degradation. Also when DICOM volume dataset was transmitted using secure transmission system, the network performance degradation had shown because of increased packet overhead. As a result, server and network performance degradation occurs for secure transmission system by ensuring the secure exchange of messages. Thus, if the secure transmission system adopted to the medical images that should be protected, it could solve server performance gradation and compose secure web PACS.

Hierarchical Image Segmentation Based on HVS Characteristic for Region-Based Very Low Bit Rate Coding (영역기반 초저속 부호화를 위한 인간 시각 체계에 기반한 계층적 영상 분할)

  • Song, Kun-Woen;Park, Young-Sik;Han, Kyu-Phil;Nam, Jae-Yeal;Ha, Yeong-Ho
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.1
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    • pp.70-80
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    • 1999
  • In this paper, a new hierarchical image segmentation algorithm based on human visual system(HVS) characteristic is proposed which can efficiently reduce and control transmission information quantity without the degradation of the subjective and objective image quality. It consists of image segmentation based on mathematical morphology and region merging considering HVS characteristic for the pairs of two adjacent regions at each level of the hierarchy. Image segmentation is composed of 3-level hierarchical structure. In the region merging structure of each level, we extract the pairs of two adjacent regions which human vision can't discriminate, and then merge them. The proposed region merging method extracts pairs of two neighbor regions to be merged and performs region merging according to merging priority based on HVS characteristics. The merging priority for each adjacent pair is determined by the proposed merging priority function(MPF). First of all, the highest priority pair is merged. The information control factor is used to regulate the transmission information at each level. The proposed segmentation algorithm can efficiently improve bottleneck problem caused by excessive contour information at region-based very low bit rate coding. And it shows that it is more flexible structure than that of conventional method. In experimental results, though PSNR and the subjective image quality by the proposed algorithm is similar to that of conventional method, the contour information quantity to be transmitted is reduced considerably. Therefore it is an efficient image segmentation algorithm for region-based very low bit rate coding.

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Temperature Control of Greenhouse Using Ventilation Window Adjustments by a Fuzzy Algorithm (퍼지제어에 의한 자연환기온실의 온도제어)

  • 정태상;민영봉;문경규
    • Journal of Bio-Environment Control
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    • v.10 no.1
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    • pp.42-49
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    • 2001
  • This study was carried out to develop a fuzzy control technique of ventilation window for controlling a temperature in a greenhouse. To reduce the fuzzy variables, the inside air temperature shop was taken as one of fuzzy variables, because the inside air temperature variation of a greenhouse by ventilation at the same window aperture is affected by difference between inside and outside air temperature, outside wind speed and the wind direction. Therefore, the antecedent variables for fuzzy algorithm were used the control error and its slop, which was same value as the inside air temperature slop during the control period, and the conclusion variable was used the window aperture opening rate. Through the basic and applicative control experiment with the control period of 3 minutes the optimum ranges of fuzzy variables were decided. The control error and its slop were taken as 3 and 1.5 times compared with target error in steady state, and the window opening rate were taken as 30% of full size of the window aperture. To evaluate the developed fuzzy algorithm in which the optimized 19 rules of fuzzy production were used, the performances of fuzzy control and PID control were compared. The temperature control errors by the fuzzy control and PID control were lower than 1.3$^{\circ}C$ and 2.2$^{\circ}C$ respectively. The accumulated operating size of the window, the number of operating and the number of inverse operating for the fuzzy control were 0.4 times, 0.5 times and 0.3 times of those compared with the PID control. Therefore, the fuzzy control can operating the window more smooth and reduce the operating energy by 1/2 times of PID control.

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COG 알고리즘으로 파악한 Proteobacteria의 보존적 유전자

  • Lee, Dong-Geun;Lee, Jin-Ok;Lee, Jae-Hwa
    • 한국생물공학회:학술대회논문집
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    • 2003.04a
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    • pp.715-718
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    • 2003
  • A COG (clusters of orthologous groups of proteins) algorithm, protein similarities among genomes, was used to detect conserved genes and to figure out their relationships within 42 procaryote, 33 Bacteria and 16 Proteobacteria All analyzed procaryotes shared 75 COGs. COG0195, COG0358 and COG0528 were only represented by the 42 procaryotes. Sixty-four COGs were added as conserved genes in 33 eubacteria. Each Proteobacteria group has a unique repertoire of COGs. Metabolic COGs were more diverse in the beta-Proteobacteria group than in the other groups. The possibilities of detecting new biological molecules is high in phylogenetically related organisms, hence the identification of useful proteins by using this algorithm is possible.

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Object Detection using Fuzzy Adaboost (퍼지 Adaboost를 이용한 객체 검출)

  • Kim, Kisang;Choi, Hyung-Il
    • The Journal of the Korea Contents Association
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    • v.16 no.5
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    • pp.104-112
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    • 2016
  • The Adaboost chooses a good set of features in rounds. On each round, it chooses the optimal feature and its threshold value by minimizing the weighted error of classification. The involved process of classification performs a hard decision. In this paper, we expand the process of classification to a soft fuzzy decision. We believe this expansion could allow some flexibility to the Adaboost algorithm as well as a good performance especially when the size of a training data set is not large enough. The typical Adaboost algorithm assigns a same weight to each training datum on the first round of a training process. We propose a new algorithm to assign different initial weights based on some statistical properties of involved features. In experimental results, we assess that the proposed method shows higher performance than the traditional one.

Vibration Analysis of the Beam Structure with a Moving Mass (이동물체에 의한 보 구조물의 진동 해석)

  • 이우식;임강민
    • Computational Structural Engineering
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    • v.8 no.4
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    • pp.57-64
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    • 1995
  • This paper introduced a simple numerical analysis algorithm for the calculation of the dynamic responses of the beam structure with a moving mass. The dynamic equation of motion of the Bernoulli-Euler beam is derived by considering the moving mass as a moving particle, and the dynamic equation of motion is transformed into an integro-differential equation by use of the structural influence function. The numerical solutions of the integro-differential equation are obtained by the modal analysis approach, and compared with those cited from well-known references. The proves that the numerical analysis algorithm proposed herein provide very reliable results, and thus it can be utilized in the design analysis of the beamlike structures exited by a mass which is traveling on it.

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Modeling of Fine Cracks using Fuzzy Mathematical Morphology (퍼지 수학적 형태학을 이용한 미세균열 모델링)

  • Park, In-Kyoo;Choi, Gyoo-Seok
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.5
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    • pp.105-111
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    • 2010
  • In this paper the elasticity of fault-detection algorithm based on fuzzy logic is proposed through lots of experiments, justifying its validity. The four mathematical morpholgical operators was defined to detect the cracks. The cracks was detected via center of area method with ${\lambda}$-fuzzy measure of fuzzy sets. However generally favorable, the result owes to how adequate the lighting device is designed in case of the so far fine crack of pieces. In an attempt to improve the response of the system, It is designed to minimize the use of memory via LookUp table in software.

Design of Biped Robot Using FPGA (FPGA를 이용한 이족로봇의 설계)

  • Park, Kyoung-Yong;Seo, Jae-Kwan;Lee, Sung-Ui;Oh, Sung-Nam;Kim, Kab-I1;Kang, Hwan-Il
    • Proceedings of the KIEE Conference
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    • 2001.11c
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    • pp.80-83
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    • 2001
  • 이족로봇이 stand-alone 형태를 가지기 위해서는 기계적인 구조가 중요할 뿐만 아니라 하드웨어시스템이 간결하게 잘 설계되어야 한다. 이렇게 하드웨어시스템이 가볍고 간결하여 설계되어야 쉽게 로봇에 장착할 수가 있다. 본 논문에서는 FPGA(Field Programmable Gate Array)를 이용해 모터 제어기를 구성해서 이족로봇을 설계하는 방법을 다루고자 한다. 본 논문에서 구성하는 하드웨어 시스템은 메인 CPU로 AM186ES를 사용하며 FPGA는 Altera사의 FLEX EPF10K20TC144-3을 사용하였다. 이와 같이 FPGA를 사용하는 하드웨어시스템은 기본적으로 VHDL언어를 사용하여 유연하게 하드웨어를 구성 할 수 있으며, 이족로봇의 여러 가지 보행 알고리즘에 능동적으로 대처할 수 있다. 뿐만 아니라 하드웨어가 간단해 지면서 가볍고 전력소모가 적으며 신뢰성 있는 시스템을 구축할 수 있다.

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Adaptive Online Load Balancing Algorithm for Multimedia Service in Cellular Networks (셀룰러 네트워크 상에서 멀티미디어 서비스 제공을 위한 효율적인 온라인 부하분산 기법에 대한 연구)

  • Kim, Sung-Wook
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.12B
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    • pp.811-817
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    • 2005
  • Efficient bandwidth management is necessary in order to provide high quality service to users in a multimedia wireless/mobile network. In this paper, I propose an on-line load balancing algorithm with preemption. This technique is able to balance the traffic load among cells accommodating heterogeneous multimedia services while ensuring efficient bandwidth utilization. The most important features of my algorithm are its adaptability, flexibility and responsiveness to current network conditions. In addition, my online scheme to control bandwidth adaptively is a cell-oriented approach. This approach has low complexity making it practical for real cellular networks. Simulation results indicate the superior performance of my algorithm.

A New Multicasting Method in a Multiple Access Network (다중 접근 네트워크에서의 새로운 멀티캐스트 기법)

  • 정민규;김용민;김종권
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.19 no.9
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    • pp.1824-1837
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    • 1994
  • Broadband ISDN will support advanced communication services such as multimedia conference, VOD and electronic news service. Because many of these advanced services require multimedia data delivery, future communication networks must have flexible and efficient multiparty communications capabilities. In this paper we propose a new multicasting method which uses packer filtering capabilities both in a physical network and in a logical network layers. This new scheme has potential to reduce the transmission and packet processing overheads of multicast communications. For the new multicasting method, we develop a group matching algorithm which finds a suitable set of groups that covers multiple target hosts. We show the application of the multicasting method and the group matching algorithm with two simple examoles.

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