• 제목/요약/키워드: Hierarchical distribution

검색결과 377건 처리시간 0.024초

계층적 FIFO : 프레임 기반 패킷 전송 스케쥴링 기법을 위한 지연 감축 방안 (HFIFO(Hierarchical First-In First-Out) : A Delay Reduction Method for Frame-based Packet Transmit Scheduling Algorithm)

  • 김휘용;유상조;김성대
    • 한국통신학회논문지
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    • 제27권5C호
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    • pp.486-495
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    • 2002
  • 본 논문에서는 프레임 기반 패킷 전송 스케쥴링을 위한 지연 감축 방안을 제안한다. ATM과 같은 초고속 통신망은 사용자에게 대역폭과 패킷 지연과 같은 성능을 보장하여야 한다. 스케쥴링 방법에 있어 프레임 기반 구조는 사용자에게 요구되는 대역폭의 지원과 간단한 레이트-제어 방법을 제공하지만 나쁜 지연 특성을 가지게 된다. 본 논문에서 제안한 지연 감축 방법은 HRR (Hierarchical Round-Robin)과 같은 계층적 프레임 구조를 사용하지만 지연 특성을 좋게 하기 위해 고정된 우선순위를 갖는 라운드 로빈 방식을 사용하지 않고, 동적으로 우선순위를 변화시킴으로써 광대역과 협대역 연결간의 지연에 있어서의 불평등을 해소하였다. 해석적 비교 및 모의실험 결과 제안된 HFIFO 방법이 기존의 HRR과 같은 프레임 구조의 장점을 그대로 따르면서, 연결간 공정한 지연품질 제공하며 전체 지연 값을 줄일 수 있음을 알 수 있었다.

Hierarchical Flow-Based Anomaly Detection Model for Motor Gearbox Defect Detection

  • Younghwa Lee;Il-Sik Chang;Suseong Oh;Youngjin Nam;Youngteuk Chae;Geonyoung Choi;Gooman Park
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권6호
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    • pp.1516-1529
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    • 2023
  • In this paper, a motor gearbox fault-detection system based on a hierarchical flow-based model is proposed. The proposed system is used for the anomaly detection of a motion sound-based actuator module. The proposed flow-based model, which is a generative model, learns by directly modeling a data distribution function. As the objective function is the maximum likelihood value of the input data, the training is stable and simple to use for anomaly detection. The operation sound of a car's side-view mirror motor is converted into a Mel-spectrogram image, consisting of a folding signal and an unfolding signal, and used as training data in this experiment. The proposed system is composed of an encoder and a decoder. The data extracted from the layer of the pretrained feature extractor are used as the decoder input data in the encoder. This information is used in the decoder by performing an interlayer cross-scale convolution operation. The experimental results indicate that the context information of various dimensions extracted from the interlayer hierarchical data improves the defect detection accuracy. This paper is notable because it uses acoustic data and a normalizing flow model to detect outliers based on the features of experimental data.

Information Distribution of Sport Social Networking Sites: Their Use in Promoting Psychological Well-Being

  • Seung Hwan PARK;Min Soo KIM;Miok KIM;Seungmin LEE;Taeyeon OH;Sun Ju KIM;Won Jae SEO
    • 유통과학연구
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    • 제22권3호
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    • pp.83-92
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    • 2024
  • Purpose: With the rapid information distribution of sport-related SNS, sport industry has utilized SNS as technical solution to distribute sport and health-related information. The current study examined the effect of SNS information use for running-specific content on running engagement and psychological well-being. Research design, data and methodology: Data were collected via online survey of participants in marathon events of United States. Descriptive statistics and Chi-square test were conducted to compare demographics and psycho-behavioral outcomes among SNS information users and non-users for running-specific contents. Multivariate hierarchical regression was next employed to examine research hypotheses. Results: A mass-participant running event was used to test seven hypotheses related to the potential role of SNS for running content in promoting running engagement and life satisfaction. In general, findings revealed that use of SNS for running content along with frequency of use can perhaps facilitate running intensity and influence participation in running-related outdoor activities. Furthermore, while overall life satisfaction did not appear to be influenced by use of SNS for running content, there was a demonstrated influence on the individual satisfaction domains. Conclusions: The findings of current study suggest that sport SNS is information distribution media enhancing users' engagement and their six life satisfaction domains. Further implications were discussed.

Protectability: An Index to Indicate Protection Level of Primary Distribution Systems

  • Lee, Seung-Jae;Park, Myeon-Song;Kang, Sang-Hee;Kim, Sang-Tae
    • KIEE International Transactions on Power Engineering
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    • 제3A권1호
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    • pp.7-16
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    • 2003
  • A new method to evaluate the protection capability of distribution systems is reported in this paper. This work describes the fuzzy evaluation attributes and aggregation method of evaluation results based on a hierarchical model and the modified combination rule. An evaluation grade index called "protectability" is proposed and is expected to be a very uscful tool in defining an optimal protection and realizing the adaptive protection.rotection.

GRA를 이용한 물류센터 입지선정문제 (Location Selection of Distribution Centers by Using Grey Relational Analysis)

  • 우태희
    • 산업경영시스템학회지
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    • 제38권2호
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    • pp.82-90
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    • 2015
  • Location selection of distribution centers is a crucial task for logistics operators and key decision makers of an organization. This is a multi-criteria decision making (MCDM) process which includes both quantitative and qualitative criteria. In order to propose an optimized location selection model, this research suggests a hierarchical group of evaluation criteria : 5 major criteria with 15 sub-criteria. The MCDM approach presented in this research, by integrating Grey Relational Analysis (GRA) with Analytic Hierarchy Process (AHP), tends to rectify the overall quality and uncertainty of the values of evaluation criteria. An example of a location selection case in Korea is illustrated in this study to show the effectiveness of this method.

A Bayesian Method for Narrowing the Scope of Variable Selection in Binary Response Logistic Regression

  • Kim, Hea-Jung;Lee, Ae-Kyung
    • 품질경영학회지
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    • 제26권1호
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    • pp.143-160
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    • 1998
  • This article is concerned with the selection of subsets of predictor variables to be included in bulding the binary response logistic regression model. It is based on a Bayesian aproach, intended to propose and develop a procedure that uses probabilistic considerations for selecting promising subsets. This procedure reformulates the logistic regression setup in a hierarchical normal mixture model by introducing a set of hyperparameters that will be used to identify subset choices. It is done by use of the fact that cdf of logistic distribution is a, pp.oximately equivalent to that of $t_{(8)}$/.634 distribution. The a, pp.opriate posterior probability of each subset of predictor variables is obtained by the Gibbs sampler, which samples indirectly from the multinomial posterior distribution on the set of possible subset choices. Thus, in this procedure, the most promising subset of predictors can be identified as that with highest posterior probability. To highlight the merit of this procedure a couple of illustrative numerical examples are given.

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A spatial heterogeneity mixed model with skew-elliptical distributions

  • Farzammehr, Mohadeseh Alsadat;McLachlan, Geoffrey J.
    • Communications for Statistical Applications and Methods
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    • 제29권3호
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    • pp.373-391
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    • 2022
  • The distribution of observations in most econometric studies with spatial heterogeneity is skewed. Usually, a single transformation of the data is used to approximate normality and to model the transformed data with a normal assumption. This assumption is however not always appropriate due to the fact that panel data often exhibit non-normal characteristics. In this work, the normality assumption is relaxed in spatial mixed models, allowing for spatial heterogeneity. An inference procedure based on Bayesian mixed modeling is carried out with a multivariate skew-elliptical distribution, which includes the skew-t, skew-normal, student-t, and normal distributions as special cases. The methodology is illustrated through a simulation study and according to the empirical literature, we fit our models to non-life insurance consumption observed between 1998 and 2002 across a spatial panel of 103 Italian provinces in order to determine its determinants. Analyzing the posterior distribution of some parameters and comparing various model comparison criteria indicate the proposed model to be superior to conventional ones.

지능망에서 서비스 제어 로직의 호 분배 서비스 특성을 위한 방법 (Methods for Call Distribution Service Feature of Service Control Logic in Intelligent Network)

  • Tae-Gyu Kang;Su-Ki Paik
    • 인터넷정보학회논문지
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    • 제2권4호
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    • pp.1-10
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    • 2001
  • 본 논문에서는 지능망에서 서비스 제어 로직의 호 분배 서비스 특징에 대한 요구사항을 정의한다. 또한. 각 가입자마다 지정한 호 분배률에 따라 호 분배할 수 있도록 호 분배 메커니즘을 제안한다. 호 분배 메커니즘은 지능망에서 정보료 수납대행 서비스에서 발전되었다. 본 논문에서의 호 분배 메커니즘은 순환 분배 또는 계층 분배 방식이 아닌 퍼센티지 분배 방식을 채택하였다. 호 분배 메커니즘은 호 입력, 출력, 호 분배 처리 로직 부, 랜덤넘버 생성기 가입자 데이터베이스 등으로 구성된다. 본 논문에서는 호 분배 메커니즘을 위한 실제적인 구현 알고리즘을 제시하고. 이를 위한 호 분배 결정 지시 산출 방법을 제안하였다. 호 분배 결정 지시 산출 방법에는 C 언어에서 제공하는 rand( ) 함수, 시스템 클럭, 제안된 알고리즘 등이 있다. 최적의 호 분배 메커니즘을 위하여, 3가지 방법에 대한 발생 패턴. 발생 수 등을 측정하여 평가하였다.

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로봇 산업의 다중 공급망 환경을 고려한 생산 및 분배 관리를 위한 유전 알고리듬 개발 (Development of Genetic Algorithm for Production and Distribution Management in Multiple Supplier Network Environment of Robot Engineering Industry)

  • 조성민;김태영;황승준
    • Journal of Information Technology Applications and Management
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    • 제20권2호
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    • pp.147-160
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    • 2013
  • Today, the management environments of intelligence firm are changing the way of production planning and logistics management, and are changing the process of supply chain management system. This paper shows the development of information system software for intelligence enterprises is used in supply chain management for robot engineering industry. Specifically, supply chain management system in this paper has been developed to analyze the impact of multi plant and multi distribution environment, showing the process analysis and system development of hierarchical assembly manufacturing industry. In this paper we consider a production planning and distribution management system of intelligence firm in the supply chain. We focus on a capacitated production resource and distribution volume allocation problem, develop a mixed integer programming model, and propose an efficient heuristic procedure using a genetic algorithm to solve it efficiently. This method makes it possible for the population to reach the feasible approximate solution easily. The proposed regeneration procedures, which evaluate each infeasible chromosome, makes the solution converge to the feasible approximate solution quickly.

Applying AHP in Evaluation the Distribution Science of Suppliers for Retails in Vietnam: Case of Saigon Co-op Mart

  • NGUYEN, Nhu-Ty
    • 유통과학연구
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    • 제19권3호
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    • pp.35-47
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    • 2021
  • Purpose: Retailing is a very special sector because it demonstrates the effectiveness of combined products and services to create business values. In this study, the author wants to investigate particular areas in the distribution sciences of the purchasing process in Coopmart (Saigon Coop-Vietnam), which is about sauces and seasoning. Research design, data and methodology: The data were collected by experts of Saigon coop, which first went through the Delphi method to choose criteria and sub-criteria for the Analytic Hierarchical Process (AHP). Results: After a long process of calculation based on AHP, the final supplier is chosen according to experts' interview; Masan is the most potential candidate to be the main supplier of sauces and seasoning to Coop mart. Therefore, it is necessary to apply the typical methods such as quantitative analysis of this process - AHP. With the aim of increasing the computational content of the evaluation process suppliers, especially the comparison of suppliers in the same industry as AHP has shown. This enables analyses of all the providers to be more scientific. Conclusions: Thus, this paper would help the facility managers ensure objectives to the reasonable decision, which can be based on AHP to get more information, implement plans and get strategic collaboration with suppliers.