• Title/Summary/Keyword: Decision Delay

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A Study on the Delay of Process Owing to Problems in Arbitration Agreement (중재합의 문제로 인한 중재절차 지연에 관한 연구)

  • Shin, Koon-Jae
    • Journal of Arbitration Studies
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    • v.26 no.4
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    • pp.43-62
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    • 2016
  • The international arbitration system has been a useful method of settling disputes arising from international transactions. Arbitration provides the opportunity for the parties to choose a fair and neutral forum and to participate in the selection of the decision maker and the rules that will be applied. Because arbitration is a creature of contract, there is no agreement to arbitrate if there is no contract. An arbitration clause should be designed to fit the circumstances of the transaction and the parties' needs. The parties draft an arbitration clause with insufficient attention to the transaction to which it relates. Insufficient attention to arbitration agreement has caused the delay of arbitration procedure or even the inability to arbitrate. Therefore the parties pay sufficient attention to the underlying transaction so that the arbitration clause can be tailored to their particular requirements and to possible disputes that may reasonably be anticipated.

Application of Neural Network Scheme to Performance Enhancement of Rheotruder

  • Kim, Sung-Ho;Lee, Young-Sam;Diaconescu, Bogdana
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.5 no.2
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    • pp.114-118
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    • 2005
  • Recently, in order to guarantee the quality of the final product from the production line, several equipments able to examine the polymer ingredients' quality are being used. Rheotruder is one of the equipments manufactured to measure the viscosity of the ingredient that is an important factor for the quality of final product. However, Rheotruder has nonlinear characteristics such as time delay which make systematic analysis difficult. In this paper, in order to enhance the performance of Rheotruder, a new scheme is introduced. It incorporates TDNN (Time Delay Neural Network) bank and Elman network to get a right decision on whether the tested ingredient is good or not. Furthermore, the proposed scheme is verified through real test execution.

Storage Capacity Estimation for Automated Storage/Retrieval Systems Considering Material Handling Delay (자재취급 지연을 고려한 자동창고의 저장능력 추정)

  • 조면식
    • Journal of the Korea Society for Simulation
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    • v.10 no.3
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    • pp.71-82
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    • 2001
  • Considering material handling delay which occurs between storage and processing stations, we propose an algorithm to estimate the required storage capacity, i.e., number of aisles and number of openings in vertical and horizontal directions in each aisle, of an automated storage/retrieval(AS/R) system. Due to the random nature of storage and retrieval requests, proportion of single and dual commands is not known in advance. Two design criteria, maximum permissible overflow probability and maximum allowable storage/retrieval(S/R) machine utilization, are used to compute the storage capacity. Most of studies assume that storage capacity of AS/R systems is given, although it is a very important decision variable in the design phase. Therefore, the proposed model can be effectively used in the design phase of new AS/R systems.

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Deep Reinforcement Learning-based Distributed Routing Algorithm for Minimizing End-to-end Delay in MANET (MANET에서 종단간 통신지연 최소화를 위한 심층 강화학습 기반 분산 라우팅 알고리즘)

  • Choi, Yeong-Jun;Seo, Ju-Sung;Hong, Jun-Pyo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.9
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    • pp.1267-1270
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    • 2021
  • In this paper, we propose a distributed routing algorithm for mobile ad hoc networks (MANET) where mobile devices can be utilized as relays for communication between remote source-destination nodes. The objective of the proposed algorithm is to minimize the end-to-end communication delay caused by transmission failure with deep channel fading. In each hop, the node needs to select the next relaying node by considering a tradeoff relationship between the link stability and forward link distance. Based on such feature, we formulate the problem with partially observable Markov decision process (MDP) and apply deep reinforcement learning to derive effective routing strategy for the formulated MDP. Simulation results show that the proposed algorithm outperforms other baseline schemes in terms of the average end-to-end delay.

Prevention of delay in implant services using time schedule (타임스케줄을 이용한 임플란트 수술의 지연 개선)

  • Ji-Yeon, Park
    • Journal of Korean Academy of Dental Administration
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    • v.10 no.1
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    • pp.1-8
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    • 2022
  • This study introduces research on the quality of medical services, optimization of medical services, dental medical services, implant medical services, and time schedules, as well as the effective process of dental implant medical services, which is expensive and requires a long treatment period. For improvement, it is suggested to evaluate using a time schedule. In this method, a time schedule is prepared in which each step, starting from the patients appointment until the completion of the treatment process, is allotted a certain time. This schedule was finalized in consultation with the employees. When performing all implant operations, the starting time of each item was checked to evaluate the degree of compliance and to understand any reasons for delay in each step. After identifying the causes for delay at each step, suitable steps to rectify the drawbacks were developed, and an optimal plan for patient management was determined. Changes in waiting time and human resource utilization were shown as concrete data, suggesting that such a schedule is meaningful as a decision-making support tool.

A Study on the Consumer's Purchasing Motives toward Casual Hanbok - in the areas of Pusan - (생활한복의 구매동기에 관한 연구 -부산지역을 중심으로-)

  • 최은경
    • Journal of the Korean Society of Costume
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    • v.45
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    • pp.71-84
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    • 1999
  • This study was to identify the dimensions of consumer's purchasing motives and purchasing delay reasons toward casual hanbok. Other objective was to examine relationship between these variables and future purchasing intention. Th 22 purchasing motive questions and 19 purchasing delay reasons were selected through the result of self-questionnaire analysis. 302 purchaser and 297 consumers who delay for particular reasons in Pusan responsed to the second questionnaire of purchasing motives and purchasing delay reasons toward casual Hanbok. The results as follows: 1. For factor analysis 22 purchasing motive questions were subjected to the principle component analysis with orthogonal rotation after extraction of 6 major factors. Six dimensions are consciousness of nation goodness of design conformity with fashion charming apperance relaxation fo body and mind nation goodness of design conformity with fashion charming appearance relaxation of body and mind and pursuit of individuality. These factors explained 62.0% of total variables. 2. Consumer's purchasing motives such as consciousness of nation goodness of design charming appearance and relaxation of body and mind has predicting power to the re-purchasing intention of casual hanbok 3. For factor analysis 19 delay reason question were subjected to the principle component analysis with orthogonal rotation after extraction of 5 major factors. Five dimensions are non-fitness for occasion and body shape unsatisfaction with design unsatisfaction with price need of information search for better product and preference for traditional hangok. These factors explained 60.4% of total variables. 4. Delay reasons of unsatisfaction with design and price were positively related to the future purchasing intention. This delay reason is caused by forces external to the consumer and the consumer has engaged in information search. This result explained this type of consumer has the strong future purchasing intention.

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A Basic Study for Establishing Decision Making Governance System in Urban Regeneration (도시재생 개발사업의 의사결정 거버넌스 체계 구축을 위한 기초연구)

  • Shin, Seung-Woo;Lee, Jee-Hee;Yi, June-Seong
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2008.11a
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    • pp.247-251
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    • 2008
  • There are many stakeholder whose interests against the rest and lots of complex projects in Urban Regeneration. Moreover, there are various communication routes and complex decision making structure because the benefits among stakeholder are conflict. Eventually, the lots of decision making task and complex structure cause inefficiency and delay of Urban Regeneration business. This Is a basic study for establishing decision making governance which help efficient decision making in Urban Regeneration. This study was conducted follow process. Through the analysis the Urban Regeneration process and literature study of "Governance", we characterize the decision making of Urban Regeneration, and based on that character we founded "decision making governance composition". Finally we suggest the "Decision Making Governance System Concept in Urban Regeneration"

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A Study on the Linear Decision Rule and the Search Decision Rule for Aggregate Planning (I) (총괄계획을 위한 선형결정법과 탐색결정법에 관한 연구 (I))

  • 고용해
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.6 no.8
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    • pp.63-71
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    • 1983
  • Aggregate planning coordinate the control variable over long-term to apply a demand variable and forcasting. In order to necessary the goal that doesn't make an inter-contradiction and explicitly defined. We made a considerable point of system approach for scheduling establishment. It include the control variables of aggregate planning : 1) employment 2) over time working and idle time 3) inventory 4) delivery delay S) subcontract 61 long - term facility capacity. Each variables composed of pure strategy as like a decision of inventory level, a change of employment level, etc. md alternative costs make a computation on the economic foundation. But the optimum alternative costs represent the mixed pure strategy. The faults of this method doesn't optimum guarantee a special scheduling as well as increasing a number of alternative combination. Theoretical, Linear Decision Rule make an including all variables, but it is almost impossible for this model to develope actually And also make use of the aggregate planning problem for developing system approach : LDR, heuristic model, Search Decision Rule, all kind of computers, simulation. But these models are very complex, each variables get an extremely inter-dependence. So this study be remained by theory level, some approach methods has not been brought the optimum solution to apply in every cases.

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Development of Real-Time Decision Support System for the Efficient Berth Operation of Inchon Port (인천항의 효율적 선석운영을 위한 실시간 의사결정지원시스템 구축)

  • 유재성
    • Proceedings of the Korea Society for Simulation Conference
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    • 1998.10a
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    • pp.12-16
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    • 1998
  • The purpose of this paper is to develop a knowledge-based real-time decision support system to support decision makers for efficient berth operation of Inchon Port. In these days, the efficient berth operation has been many studied. The berth operation rules differ from port to port and the problem is highly dependent on natural, geographical and operational environment of port. In Inchon Port, the ship's entrance into port and departure from port is extremely affected by the status of dock and berth because of capacity restriction. First, we analyzed the specific characteristics of Inchon Port such as dock based on the data of 1997. And then, we construct the database of experts knowledge for berth utilization. Finally, we build the real-time decision support system for the efficient berth operation of Inchon Port to make the better berth allocation in case of not only regular scheduling but also dynamic scheduling such as delay in berth operation and exchange of ship between berths. The DSS is developed with graphic user interface(GUI) concept to help the user determining user interactive updating of the port status. Then this DSS will be provide decision maker with an efficient and fast way to berth allocation, and reduce wastes of time, space, and manpower in Inchon Port operation.

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Signal Processing for Perpendicular Recording Systems

  • Lee, Jun;Woo, Choong-Chae
    • Journal of IKEEE
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    • v.15 no.1
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    • pp.70-75
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    • 2011
  • Longitudinal recording has been the cornerstone of all two generations of magnetic recording systems, FDD and HDD. In recent, perpendicular recording has received much attention as promising technology for future high-density recording system Research into signal processing techniques is paramount for the issued storage system and is indispensable like longitudinal recording systems. This paper focuses on the performance evaluation of the various detectors under perpendicular recording system. Parameters for improving the their performance are examined for some detectors. Detectors considered in this work are the partial response maximum likelihood (PRML), noise-predictive maximum likelihood (NPML), fixed delay tree search with decision feedback (FDTS/DF), dual decision feedback equalizer (DDFE) and multilevel decision feedback equalizer (MDFE). Their performances are analyzed in terms of mean squared error (MSE) and noise power spectra, and similarity between recording channel and partial response (PR) channel.