• Title/Summary/Keyword: 가중요소

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Performance Improvement of General Regression Neural Network Using Principal Component Analysis (주요성분분석에 의한 일반회귀 신경망의 성능개선)

  • Cho, Yong-Hyun
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.11
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    • pp.3408-3416
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    • 2000
  • This paper proposes an efficient method for improving the performance of a general regression neural network by using the feature to the independent variables as the center for partern-layer neurons. The adaptive principal component analysis is applied for extracting, efficiently the fcarures by reducing the dimension of given independent variables. In can acluevc a supertor property of the principal component analysis that converts input data into set of statistically independent features and the general regression neuralnetwork, espedtively. The proposed general regression neural network has been applied to regress the Solow's economy(2-independent variable set) and the wie elephone(1-independent vanable set). The simulation results show that the proposed meural networks have better performances of the regressionfor the lest data, in comparison with those using the means or the weighted means of independent variables. Also,it is affected less by the number of neurons and the scope of the smoothing factor.

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A study on sustainable direction of web-marketing and web-advertising performance (바람직한 웹마케팅의 방향과 웹광고 성과에 관한 연구)

  • Kang, Inwon;Cho, Eunsun
    • International Commerce and Information Review
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    • v.17 no.1
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    • pp.3-28
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    • 2015
  • Web-ads often distract users' online activities. Web-ads even deter users from comprehending the website contents. As these irritated users try to avoid web-ads, advertising agencies make web-ads even more noticeable to grasp users' attention. The factors that attract users should increase web-ad performance. However, this study confirms that those efforts irritate users and decrease web-ad performance. Also, this study shows that irritated users eventually try to avoid re-visiting the websites. This study also confirms that excessive web-ads on Internet news websites bring more confusion to users than on e-commerce websites. This finding supports the importance of more sustainable web activities on the Internet news websites as users expect objective and fair contents. Based on these results, this study proposes the directions of web-ads activities for the common good and self-interests of the stakeholders.

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Study on the Dosimetry and Assessment of Terrestrial Radiation Exposure (지각 방사선에 의한 피폭선량측정 및 해석)

  • Jun, Jae-Shik;Oh, Hi-Peel;Ha, Chung-Woo
    • Journal of Radiation Protection and Research
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    • v.15 no.2
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    • pp.87-100
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    • 1990
  • For the quantitative evaluation and assessment of radiation exposure from terrestrial component of natural environmental radiation, successive thermoluminescence dosimetry and periodical in-situ gamma ray spectrometry were carried out for a period of 24 months. LiF PTFE dise TLDs and $3&{\phi}{\times}3'$cylindrical NaI(Tl)scintill ation detector in association of portable multichannel analyzer (4096 ch) were used in this study. The doses measured were evaluated and assessed in terms of effective dose equivalent. As a concomitant output, the dose equivalent due to ionizing component of cosmic ray was able to be evaluated. According to the results obtained in terms of variance weighted mean, the annual effective dose equivalents of terrestrial gamma ray and cosmic ray ionizing component in Taejeon area came out to be $564{\pm}4\;{\mu}Sv(64.8{\pm}0.5nSv{\cdot}h^{-1}$ and $300{\pm}2\;{\mu}Sv(34.3{\pm}0.2nSv{\cdot}h^{-1}$, respectively, which are reasonable comparably with that appeared in UNSCEAR Report[28]as per caput annual effective dose equivalent in 'areas of normal background radiation'.

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Automated Stacking Crane Dispatching Strategy in a Container Terminal using Genetic Algorithm (유전 알고리즘을 이용한 자동화 컨테이너 터미널에서의 장치장 크레인의 작업 할당 전략)

  • Wu, Jiemin;Yang, Young-Jee;Choe, Ri;Ryu, Kwang-Ryel
    • Journal of Navigation and Port Research
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    • v.36 no.5
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    • pp.387-394
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    • 2012
  • In an automated container terminal, automated stacking cranes(ASCs) take charge of handling of containers in a block of the stacking yard. This paper proposes a multi-criteria strategy to solve the problem of job dispatching of twin ASCs which are identical to each another in size and specification. To consider terminal situation from different angles, the proposed method evaluates candidate jobs through various factors and it dispatches the best score job to a crane by doing a weighted sum of the evaluated values. In this paper, we derive the criteria for job dispatching strategy, and we propose a genetic algorithm to optimize weights for aggregating evaluated results. Experimental results are shown that it is suitable for real time terminal with lower computational cost and the strategy using various criteria improves the efficiency of the container terminal.

Sensitivity Analysis of Ordinary Kriging Interpolation According to Different Variogram Models (베리오그램 모델 변화에 따른 정규 크리깅 보간법의 민감도분석)

  • Woo, Kwang-Sung;Park, Jin-Hwan;Lee, Hui-Jeong
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.21 no.3
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    • pp.295-304
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    • 2008
  • This paper comprises two specific objectives. The first is to examine the applicability of Ordinary Kriging interpolation(OK) to finite element method that is based on variogram modeling in conjunction with different allowable limits of separation distance. The second is to investigate the accuracy according to theoretical variograms such as polynomial, Gauss, and spherical models. For this purpose, the weighted least square method is applied to obtain the estimated new stress field from the stress data at the Gauss points. The weight factor is determined by experimental and theoretical variograms for interpolation of stress data apart from the conventional interpolation methods that use an equal weight factor. The validity of the proposed approach has been tested by analyzing two numerical examples. It is noted that the numerical results by Gauss model using 25% allowable limit of separation distance show an excellent agreement with theoretical solutions in literature.

Changes and Strategies of the Government Service Paradigm through Using Big Data -Focused on Disaster Safety Management in Seoul City- (빅데이터활용을 통한 정부서비스 패러다임의 변화와 전략 -서울시 재난안전관리를 중심으로-)

  • Kim, Young-mi
    • Journal of Digital Convergence
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    • v.15 no.2
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    • pp.59-65
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    • 2017
  • The basic goal of urban safety is to support citizens' quality of life and city competitiveness, and its importance is increasing. Since the risk of disasters is growing, there is a growing demand from society for minimizing the damage by preventing and responding to them in advance. In case of urban governments, securing safety emerges as one of the most important policy tasks due to natural disasters such as heavy rain and heavy snow and human disasters such as various accidents. Recently, it is emphasized the necessity to increase the prevention effect through disaster analysis using Big Data. This study examined paradigm change of disaster safety management using big data centering on Seoul city. In particular, the study tried case analysis from the viewpoint of maximizing effective government services for disaster safety management, and sought the strategic meaning in connection with the ordinance.

Unusual data local access using inverse order tree (역순트리를 이용한 특이데이터 국소적 접근)

  • Rim, Kwang-Cheol;Seol, Jung-Ja
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.3
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    • pp.595-601
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    • 2014
  • With the advent of the Smart information-communication era, the number of data has increased exponentially. Accordingly, figuring out and analyzing in which area and circumstance the data has been created becomes one of the factors for prompt actions. In this paper identifies how to analyze the data by implementing a route from the lowest module to highest one in an inverse order for the part judgement for the particular data. The script first identifies cluster analisys, paralizes the analysis using the sum of each factors of the cluster with the tree structure, and finally transpose the answer into number. Also, it is designed to place priority on particular answer, thereafter, draws the wanted answer real-time.

Cognitive Analysis and Evaluation on Function Structure of Washing Machine for Usability (사용성 향상을 위한 세탁기의 기능구조에 대한 인지적 분석 및 평가)

  • Kwak, Hyo-Yean;Son, Il-Moon
    • Archives of design research
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    • v.19 no.2 s.64
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    • pp.251-260
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    • 2006
  • Rapid development of electronic technology has made it possible to perform various function. But this technology made it increase it's complexity. Therefore, It was important to identify usability problem in interface design. The quality of interface to promote the efficient interaction should be evaluated with regard to users' cognitive characteristics. So, in this paper, washing machine, that is one of the most useful electronic home application was studied menu structure on interface and it's operational states transition. At first, an cognitive menu structure is identified with users' conceptual similarity of the main function of washing machine. Then three washing machines was selected to compare with the cognitive menu structure. And, we were analyzed how operational state of the washing machine was transfered. As a result, we can be revealed that menu operational method based on the cognitive structure was consistent with the user's preferred operational method during the experimental tasks and the users and designers had a different knowledge of an it's function structure. These results will be useful to design the washing machine interface.

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A Design of Hop-by-Hop based Reliable Congestion Control Protocol for WSNs (무선 센서 네트워크를 위한 Hop-by-Hop 기반의 신뢰성 있는 혼잡제어 기법 설계)

  • Heo Kwan;Kim Hyun-Tae;Ra In-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.6
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    • pp.1055-1059
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    • 2006
  • In Wireless Sensor Networks(WSNs), a sensor node broadcasts the acquisited sensing data to neighboring other nodes and it makes serious data duplication problem that increases network traffic loads and data loss. This problem is concerned with the conflict condition for supporting both the reliability of data transfer and avoidance of network congestion. To solve the problem, a reliable congestion control protocol is necessary that considers critical factors affecting on data transfer reliability such as reliable data transmission, wireless loss, and congestion loss for supporting effective congestion control in WSNs. In his paper, we proposes a reliable congestion protocol, called HRCCP, based on hop-hop sequence number, and DSbACK by minimizing useless data transfers as an energy-saved congestion control method.

A Design of Hop-by-Hop based Reliable Congestion Control Protocol for WSNs (무선 센서 네트워크를 위한 Hop-by-Hop 기반의 신뢰성 있는 혼잡제어 기법 설계)

  • Heo Kwan;Kim Hyun-Tae;Yang Hae-Kwon;Ra In-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2006.05a
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    • pp.442-445
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    • 2006
  • In Wireless Sensor Networks(WSNs), a sensor node broadcasts an acquisited data to neighboring other nodes and it makes serious data duplication problem that increases network traffic loads and data loss. This problem is concerned with the conflict condition for supporting both the reliability of data transfer and avoidance of network congestion. To solve the problem, a reliable congestion control protocol is necessary that considers critical factors affecting on data transfer reliability such as reliable data transmission, wireless loss, and congestion loss for supporting effective congestion control in WSNs. In this paper, we proposes a reliable congestion protocol, ratted HRCCP, based on hop-hop sequence number, and DSbACK by minimizing useless data transfers as an energy-saved congestion control method.

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