• Title/Summary/Keyword: Divided scheduling

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A Study on Development of Lottery Site to Maximize Network Advertisement Effect (네트워크 광고 효과 극대화를 위한 복권 사이트 개발에 관한 연구)

  • 이희남;이창호;이공섭
    • Proceedings of the Safety Management and Science Conference
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    • 2000.05a
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    • pp.55-60
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    • 2000
  • In recent dates, Internet advertising effects are expanded by the steep increment of the Internet users and the extension of the advertising market will be accelerated through Internet. This paper indicates the importance of Internet advertising and suggests the solution of a network advertising service. The system Is divided into an Advertise Server, an Advertiser and a Web Publisher. This study proposes both the collection and the analysis of traffic data in real time. Also, the banner advertising frames are smoothed for the impression using the solution for the banner exchange engine and are developed using various impression methods, that is, Fixed/variable Banner, Scheduling Banner, Multi-Impression Banner, and Frame Remote Control to increase the advertising effect. And then to increase the advertising effect web publisher, which is specialized in lottery site, is constructed using the network advertising service and various advertising technology.

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Design of an ATM Switch Controller Using Neural Networks (신경회로망을 이용한 ATM 교환기의 제어부 설계)

  • 김영우;임인칠
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.5
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    • pp.123-133
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    • 1994
  • This paper presents an output arbitrator for input buffering ATM (Asynchronous Transfer Mode) switches using neural networks. To avoid blocking in ATM switches with blocking characteristics, it is required to buffer ATM cells in input buffer and to schedule them. The N$\times$N request matrix is divided into N/16 submatrices in order to get rid of internal blocking systematically in scheduling phase. The submatrices are grouped into N/4 groups, and the cells in each group are switched alternatively. As the window size of input buffer is increases, the number of input cells switched in a time slot approaches to N. The selection of nonblocking cells to be switched is done by neural network modules. N/4 neural network modules are operated simultaneously. Fast selection can be achieved by massive parallelism of neural networks. The neural networks have 4N neurons and 14N connection. The proposed method is implemented in C language, and the simulation result confirms the feasibility of this method.

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An Operation Method of Pumped Storage Hydroplants in The Cost Based Pool (변동비반영 전시장(CBP)에서의 양수발전기 운영방안)

  • Kim, Kwang-In;Kim, Doo-Jung;Park, Marn-Geun
    • Proceedings of the KIEE Conference
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    • 2001.05a
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    • pp.108-111
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    • 2001
  • The electric power industries in Korea are launched into deregulation by introducing the CBP(Cost Based Pool), where generation sector of KEPCO was divided into six generation companies and the other sectors of KEPCO remains vertically integrated system. In deregulated market, participants are concerned with maximization of their profit rather than minimization of system-wide costs. Consequently, there are difficulties in applying the cost minimization for the scheduling of generation resources to CBP, because of the operation of pumped-storage hydroplants. This paper presents an operation method of pumped storage hydroplants which is helpful for the economic operation of power system considering the market in the CBP.

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An Efficient Multiprocessor Implementation of Digital Filtering Algorithms (다중 프로세서 시스템을 이용한 디지털 필터링 알고리즘의 효율적 구현)

  • Won Yong Sung
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.28B no.5
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    • pp.343-356
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    • 1991
  • An efficient real-time implementation of digital filtering algorithms using a multiprocessor system in a ring network is investigated. The development time and cost for implementing a high speed signal processing system can be considerably reduced because algorithm are implemented in software using commercially available digital signal processors. This method is based on a parallel block processing approach, where a continuously supplied input data is divided into blocks, and the blocks are processed concurrently by being assigned to each processor in the system. This approach not only requires a simple interconnection network but also reduces the number of communications among the processors very much. The data dependency of the blocks to be processed concurrently brings on dependency problems between the processors in the system. A systematic scheduling method has been developed by using a processors which can be used efficiently, the methods for solving dependency problems between the processors are investigated. Implementation procedures and results for FIR, recursive (IIR), and adaptive filtering algorithms are illustrated.

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Integrated Fleet Management Support System for Industrial Carrier (인더스트리얼 캐리어를 위한 통합 선대관리 지원시스템)

  • 김시화;허강이
    • Journal of the Korean Institute of Navigation
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    • v.23 no.4
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    • pp.63-76
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    • 1999
  • This paper aims at developing an integrated fleet management support system for industrial carriers who usually control the vessels of their own or on a time charter to minimize the cost of shipping their cargoes. The work is mainly concerned with the operational management problem of the fleet owned by a major oil company, a typical industrial carrier. The optimal fleet management problem for the major oil company can be divided into two phase problem. The front end corresponds to the production operation problem of the transportation of crude oil, the refinery operation, and the distribution of product oil to comply with the demand of the market. The back end is to tackle the fleet scheduling problem to meet the seaborne transportation demand derived from the front end. Relevant optimization models for each phase are proposed and described briefly. Then a user-friendly integrated fleet management support system is built based on the proposed optimization models for both ends under Windows environment. A case study reflecting the practices of fleet management problem for the major oil company is carried out by using the system.

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A Study on Development of Site to Maximize Network Advertisement Effect (네트워크 광고 효과 극대화를 위한 사이트 개발에 관한 연구)

  • 이공섭
    • Journal of the Korea Safety Management & Science
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    • v.2 no.2
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    • pp.177-185
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    • 2000
  • In recent dates, Internet advertising effects are expanded by the steep increment of the Internet users and the extension of the advertising market will be accelerated through Internet. This paper indicates the importance of Internet advertising and suggests the solution of a network advertising service. The system is divided into an Advertise Server, an Advertiser and a Web Publisher. This study proposes both the collection and the analysis of traffic data in real time. Also, the banner advertising frames are smoothed for the impression using the solution for the banner exchange engine and are developed using various impression methods, that is, Fixed/variable Banner, Scheduling Banner, Multi-Impression Banner, and Frame Remote Control to increase the advertising effect. And then to increase the advertising effect web publisher, which is specialized in lottery site, is constructed using the network advertising service and various advertising technology.

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Multi-Collector Control for Workload Balancing in Wireless Sensor and Actuator Networks

  • Han, Yamin;Byun, Heejung
    • IEMEK Journal of Embedded Systems and Applications
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    • v.16 no.3
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    • pp.113-117
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    • 2021
  • The data gathering delay and the network lifetime are important indicators to measure the service quality of wireless sensor and actuator networks (WSANs). This study proposes a dynamically cluster head (CH) selection strategy and automatic scheduling scheme of collectors for prolonging the network lifetime and shorting data gathering delay in WSAN. First the monitoring region is equally divided into several subregions and each subregion dynamically selects a sensor node as CH. These can balance the energy consumption of sensor node thereby prolonging the network lifetime. Then a task allocation method based on genetic algorithm is proposed to uniformly assign tasks to actuators. Finally the trajectory of each actuator is optimized by ant colony optimization algorithm. Simulations are conducted to evaluate the effectiveness of the proposed method and the results show that the method performs better to extend network lifetime while also reducing data delay.

The Epidemiology of Delays in a Teaching Hospital (부적절 재원의 이유)

  • Kim, Yoon;Lee, Kun-Sei;Kim, Chang-Yup;Kim, Yong-Ik;Shin, Young-Soo;Lee, Sang-Il
    • Journal of Preventive Medicine and Public Health
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    • v.26 no.4 s.44
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    • pp.650-660
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    • 1993
  • This study aims to describe the causes of medically unnecessary hospital stay at a teaching tertiary hospital, using modified version of Delay Tool in which the causes of delay are divided into slx major categories : delay related to test scheduling, test results, surgery, medical staff, patient/family, and administration. For the analysis of hospital stay, 6,479 inpatient-days were reviewed in two medical and four surgical departments for one month. Initially inappropriate hospital stays were identified using Appropriateness Evaluation Protocol (AEP), and causes of delay listed in Delay Tool were assigned to each of them. In both medical and surgical services, the most important cause of delay was related to medical staffs, ranging from 3.6% to 51.6% of total inpatient days. Next important category was delay related to test scheduling in medical services ($4.7{\sim}9.2%$), and delay related to surgery in surgical services ($7.3{\sim}15.0%$). Among subcategories of delay related to medical staffs, delay due to conservative care was the most important cause of inappropriate hospital stay ($2.9{\sim}6.4%$). Each clinical departments had different distribution among delay categories, which could not be fully justified by their clinical charateristics. The Delay Tool would be helpful in exploring factors related to the inefficient use of hospital beds. As a measurement tool of inappropriate hospital stay, however, the Delay Tool should be refined in the definitions of categories and its contents.

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Integrated Supply Chain Model of Advanced Planning and Scheduling (APS) and Efficient Purchasing for Make-To-Order Production (주문생산을 위한 APS 와 효율적 구매의 통합모델)

  • Jeong Chan Seok;Lee Young Hae
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2002.05a
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    • pp.449-455
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    • 2002
  • This paper considers that advanced planning and scheduling (APS) in manufacturing and the efficient purchasing where each customer order has its due date and multi-suppliers exit We present a Make-To­Order Supply Chan (MTOSC) model of efficient purchasing process from multi-suppliers and APS with outsourcing in a supply chain, which requires the absolute due date and minimized total cost. Our research has included two states. One is for efficient purchasing from suppliers: (a) selection of suppliers for required parts; (b) optimum part lead­time of selected suppliers. Supplier selection process has received considerable attention in the business­management literature. Determining suitable suppliers in the supply chain has become a key strategic consideration. However, the nature of these decisions usually is complex and unstructured. These influence factors can be divided into quantitative and qualitative factors. In the first level, linguistic values are used to assess the ratings for the qualitative factors such as profitability, relationship closeness and quality. In the second level a MTOSC model determines the solutions (supplier selection and order quantity) by considering quantitative factors such as part unit price, supplier's lead-time, and storage cost, etc. The other is for APS: (a) selection of the best machine for each operation; (b) deciding sequence of operations; (c) picking out the operations to be outsourcing; and (d) minimizing makespan under the due date of each customer's order. To solve the model, a genetic algorithm (GA)-based heuristic approach is developed. From the numerical experiments, GA­based approach could efficiently solve the proposed model, and show the best process plan and schedule for all customers' orders.

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A Study on the Proposal of an Integration Model for Library Collaboration Instruction (도서관협력수업의 통합모형 제안에 관한 연구)

  • Byeong-Kee Lee
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.4
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    • pp.25-47
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    • 2023
  • Library collaboration instruction (LCI) is a process in which a classroom teacher and librarian collaborate to co-planning, co-implementation, co-assessment instruction. LCI is being studied and modeled in various dimensions such as the level of collaboration, information activities, and time scheduling. However, there is no integrated model that comprehensively covers teacher and librarian collaboration. The purpose of this study is to propose a schematic integration model for LCI by comparing and analyzing various models in five dimensions (level of collaboration, information activities, collaborative approach, time scheduling, and technological integration). The main results of the integration model for LCI reflected in this study are as follows. First, in terms of the level of collaboration, TLC integration model reflected such as library-based teacher-led instruction, cross-curricular integrated curriculum. Second, in terms of information activities, LCI integration model reflected social and science subjects inquiry activities in addition to the information use process. Third, in terms of collaborative approach, LCI integration model is divided into such as lead-observation instruction and parallel station instruction. Fourth, in terms of time management, LCI integration model took into account the Korean national curriculum and scheduling methods. Fifth, in terms of technology integration, LCI integration model reflected the PICRAT model, modified from the perspective of library collaboration instruction.