• Title/Summary/Keyword: Allocation procedure

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Joint Optimization of User Set Selection and Transmit Power Allocation for Orthogonal Random Beamforming in Multiuser MIMO Systems

  • Kang, Tae-Sung;Seo, Bangwon
    • ETRI Journal
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    • v.34 no.6
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    • pp.879-884
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    • 2012
  • When the number of users is finite, the performance improvement of the orthogonal random beamforming (ORBF) scheme is limited in high signal-to-noise ratio regions. In this paper, to improve the performance of the ORBF scheme, the user set and transmit power allocation are jointly determined to maximize sum rate under the total transmit power constraint. First, the transmit power allocation problem is expressed as a function of a given user set. Based on this expression, the optimal user set with the maximum sum rate is determined. The suboptimal procedure is also presented to reduce the computational complexity, which separates the user set selection procedure and transmit power allocation procedure.

Design Vessel Selection of Maritime Bridges (해상교량의 설계선박 선정)

  • Lee Byung-Hwa;Bae Yong-Gwi;Lee Seong-Lo;Lee Gye-Hee
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2005.04a
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    • pp.607-615
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    • 2005
  • In this study ship collision risk analysis is performed to determine the design vessel for collision impact analysis of the bridge. Method I in AASHTO LRFD bridge design specifications is a semi-deterministic analysis procedure for determining the design vessel. Method ll which is a more complicated probability based analysis procedure is used to select the design vessel for collision impact. The AF allocation by weights seems to be more reasonable than the pylon concentration allocation method because AF allocation by weights takes the design parameter characteristics quantitatively into consideration although the pylon concentration allocation method brings more economical results when the overestimated design collision strength of piers compared to the strength of pylon is moderately modified. Therefore more researches on the allocation model of AF and the selection of design vessel are required.

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An Optimal Missile Allocation Problem for Maximizing Kill Probability (격추확률 최대화를 위한 미사일 최적배치 문제)

  • Jung, Chi-Young;Lee, Jae-Yeong;Lee, Sang-Heon
    • Korean Management Science Review
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    • v.27 no.1
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    • pp.75-90
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    • 2010
  • In this paper, we proposed new solution procedure of the air defense missile allocation problem. In order to find the optimal location of missile, we formulated a simple mathematical model maximizing the kill probability of enemy air threat including aircraft and missile. To find the Kill probability, we developed a new procedure using actual experimental data in the mathematical model. Actual experimental data mean real characteristic factor, which was acquired when the missile had been developed through missile fire experiment. The result of this study can offer practical solution for missile allocation and the methodology in this study can be used to the decision making for the optimal military facility allocation.

A Study on the Blockchain based Frequency Allocation Process for Private 5G (블록체인 기반 5G 특화망 주파수 할당 프로세스 연구)

  • Won-Seok Yoo;Won-Cheol Lee
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.1
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    • pp.24-32
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    • 2023
  • The current Private 5G use procedure goes through the step of application examination, use and usage inspection, and can be divided in to application, examination step as a procedure before frequency allocation, and use, usage inspection step as a procedure after frequency allocation. Various types of documents are required to apply for a Private 5G, and due to the document screening process and radio station inspection for using Private 5G frequencies, the procedure for Private 5G applicants to use Private 5G is complicated and takes a considerable amount of time. In this paper, we proposed Frequency Allocation Process for Private 5G using a blockchain platform, which is fast and simplified than the current procedure. Through the use of a blockchain platform and NFT (Non-Fungible Token), reliability and integrity of the data required in the frequency allocation process were secured, and security of frequency usage information was maintained and a reliable Private 5G frequency allocation process was established. Also by applying the RPA system that minimizes human intervention, fairness was secured in the process of allocating Private 5G. Finally, the frequency allocation process of Private 5G based on the Ethereum blockchain was performed though a simulation.

A Proposal for Hit Ratio Improvement of a Microprocessor's Cache Memory (마이크로프로세서 캐쉬메모리의 적중률 개선을 위한 제안)

  • 조용훈;김정선
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.4B
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    • pp.783-787
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    • 2000
  • A microprocessor, which is used as a CPU for state-of-the-art personal computers, adopts 256KB or 512KB L2(Level 2) cache memory. This cache hires Direct Mapping Procedure, 32B Line Size, and no Write Allocation. In this cache architecture, we can expert about 2.5% hit ratio improvement by using 8-way Set Associative Mapping instead of Direct Mapping, 128B Line Size instead of 32B, and Write Allocation.

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A Study on the Production Planning by Tool Allocation Methods on FMS (FMS에서 공구배분법을 고려한 생산계획에 관한 연구)

  • 우병훈;하정진
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.17 no.31
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    • pp.21-31
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    • 1994
  • In this research, tool allocation methods are studied in conjunction with loading and muting in FMSs. The objective function is to minimize production time while maximizing machine utilization of the FMS with several constraints. The proposed method has 2 steps. The first step is to determine tool allocation type with the proposed tool allocation method. The second step is to design loading models with routing. The effectiveness of the proposed FMS operation procedure is shown through numerical examples.

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A Mixed Zero-One Integer Goal programming Approach to Facility Location-Allocation Problem with Multiple Objectives (혼합이진정수목표계획법(混合二進整数目標計劃法)을 이용(利用)한 다수목표(多数目標)의 설비입지선정(設備立地選定) 및 해당문제(該當問題)에 관(関)한 연구(硏究))

  • Gang, In-Seon;Yun, Deok-Gyun
    • Journal of Korean Institute of Industrial Engineers
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    • v.10 no.2
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    • pp.45-50
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    • 1984
  • This paper is concerned with the facility location-allocation problem (FLAP) with multiple objectives. A branch-and-bound procedure is presented to solve the mixed zero-one integer goal programming problem which is to determine facility locations from given candidate locations and to allocate facility capacity to given customer markets simultaneously. A numercial example is given to illustrate this procedure.

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Simple Power Allocation Scheme for Data Rate Fairness in NOMA Systems (비직교 다중 접속 시스템에서 전송률 공정성을 위한 단순한 전력 할당 기법)

  • Lee, In-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.9
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    • pp.1241-1244
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    • 2020
  • In this paper, we consider a downlink non-orthogonal multiple access system with a base station and N mobile stations, where we assume that instantaneous channel state information (CSI) is available at the base station. A power allocation scheme is proposed to achieve perfect fairness, which means equal data rates for all mobile stations. However, the power allocation scheme using full CSI requires high complexity. Hence, a simple power allocation scheme with low complexity is proposed by using high signal-to-noise power ratio (SNR) approximation. The simple power allocation scheme can achieve perfect fairness only for high SNR. However, it needs only the best CSI and the simple procedure to obtain power allocation coefficients. From simulation results, we show that the simple power allocation scheme provides remarkable fairness performance at high SNR.

Analysis on Flight Test Results of Reconfiguration Flight Control System (재형상 비행제어 시스템의 비행시험 결과 분석)

  • Min, Byoung-Mun;Kim, Seong-Pil;Kim, Bong-Ju;Kim, Eung-Tai;Tahk, Min-Jea
    • Journal of Institute of Control, Robotics and Systems
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    • v.14 no.12
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    • pp.1244-1252
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    • 2008
  • This paper presents the analysis results obtained by the flight test of reconfiguration flight control system for an aircraft. The reconfiguration flight control system was designed by using control allocation scheme that automatically distributes the demanded control moments determined by control law to each actual control surface. In this paper, some control allocation algorithms for reconfiguration control of general aircraft with redundant control surfaces are summarized and their performance evaluation results through nonlinear simulation and Hardware-In-the-Loop-Simulation (HILS) test are shown. Also, Unmanned Aerial Vehicle (UAV) system adopted as a platform for the flight test of reconfiguration flight controller and the implementation procedure of reconfiguration flight controller into real-time UAV system were introduced. Finally, flight test results were analyzed.

Ammunition Allocation Model using an Interactive Multi-objective Optimization(MOO) Method (상호작용 다목적 최적화 방법론을 이용한 전시 탄약 할당 모형)

  • Jeong, Min-Seop;Park, Myeong-Seop
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2006.11a
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    • pp.513-524
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    • 2006
  • The ammunition allocation problem is a Multi-objective optimization(MOO) problem, maximizing fill-rate of multiple user troops and minimizing transportation time. Recent studies attempted to solve this problem by the prior preference articulation approach such as goal programming. They require that all the preference information of decision makers(DM) should be extracted prior to solving the problem. However, the prior preference information is difficult to implement properly in a rapidly changing state of war. Moreover they have some limitations such as heavy cognitive effort required to DM. This paper proposes a new ammunition allocation model based on more reasonable assumptions and uses an interactive MOO method to the ammunition allocation problem to overcome the limitations mentioned above. In particular, this article uses the GDF procedure, one of the well-known interactive optimization methods in the MOO liter-ature, in solving the ammunition allocation problem.

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