• Title/Summary/Keyword: Position Decision

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A Form-finding of Planar Tensegrity Structures

  • Lee, Sang Jin
    • Architectural research
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    • v.14 no.4
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    • pp.143-152
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    • 2012
  • A form-finding procedure is presented for planar tensegrity structures. Notably, a simple decision criteria is proposed to select the desirable candidate position vector from the unitary matrix produced by the eigenvalue decomposition of force density matrix. The soundness of the candidate position vector guarantees faster convergence and produces a desirable form of tensegrity without any member having zero-length. Several numerical examples are provided to demonstrate the capability of the proposed form-finding process.

Optimum Allocation Model of Military Engineer Equipments for Artillery Position Development (포병진지 구축을 위한 공병장비 최적배정 모형)

  • Jang, Young Cho;Lee, Moon Gul
    • Korean Management Science Review
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    • v.34 no.2
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    • pp.103-113
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    • 2017
  • The artillery is a key element of the ground forces operation during wartime, and the military engineers support the artillery position development operation to support the smooth operation of the artillery. In establishing the artillery position development operation plan, the commander requires more than his intuition to find the best option reflecting a number of elements of the battlefield situation which changes every minute. Moreover, the number of available equipment is smaller than the number of required position developments, and the effective equipment operation becomes essential element of this issue. This study quantified the capability of the available engineering equipment, organized a number of teams enabling equipment to put out the maximum capacity based on the quantified figures, and formed the model which allocates the team to the developing points to minimize the developing time. The goal programming method was applied to resolve the problem. The developed model was applied to compare the total mission duration following the number of teams, the variable for commander's decision, and the result of this study can be used as the quantitative data for commander's decision making process in establishing the artillery position development support operation through effective equipment management.

Robust position estimation using POMDP

  • Kang, Daehee
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10a
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    • pp.328-333
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    • 1996
  • In this paper, we propose a new method to estimate robot position without landmark. At first, it is studied to estimate robot state using Markov decision rule. And, a matching method is discussed for estimating current position more accurately under the estimated current state. At second, we combine or fuse the matching method with the POMDP method in order to estimate the position under a dynamically changing environment. Finally we will show that our method can estimate the position precisely and robustly of which error are not cumulated through simulation results.

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CFD Analysis on the Fresh Air Distribution in the Catalytic Converter Varying Secondary Air Injector Position (2차 공기 분사 위치에 따른 촉매 내 공급 공기 분포에 대한 전산 유동해석)

  • Yun, Jeong-Eui
    • Transactions of the Korean Society of Automotive Engineers
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    • v.18 no.5
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    • pp.31-36
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    • 2010
  • SAI(Secondary Air Injection) system has been studied widely as one of the promising countermeasure for reducing HC emission at cold start. In this paper, in order to find out the optimal position of SAI, computational thermal fluid analysis on exhaust system adapted SAI system is performed using commercial 3-D CFD code, CFX. The present results showed that SAI position strongly affected the uniformity of air distribution in front of catalyst. And also through the decision process of optimal position of SAI, new index, uniformity of air distribution($U_{\phi}$) is proposed to define it quantitively. Because $U_{\phi}$ is very simple equation and similar with flow uniformity, it is very easy to figure out the physical meaning and to apply it to practices. Finally, we applied the index $U_{\phi}$ to the decision process of the optimal position of SAI, so that we could get the clear comparison results.

Speed Sensorless Control of Switched Reluctance Motor (스위치드 리럭턴스 전동기의 센서리스 속도제어)

  • Shin, Kyoo-Jae;Kwon, Young-Ahn
    • Journal of IKEEE
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    • v.2 no.2 s.3
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    • pp.166-172
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    • 1998
  • Switched reluctance motor(SRM) has the advantages of simple structure, low rotor inertia and high efficiency. However, position sensor is essential in SRM in order to synchronize the phase excitation to the rotor Position. The Position sensors increase the cost of drive system and tend to reduce system reliability. This paper investigates the speed control of sensorless SRM in which the Phase current and change rate are utilized in position decision, and the period of dwell angle is variable for speed control. The proposed system consists of Position decision circuit, speed controller, digital logic commutator, switching angle controller and inverter The performances in the proposed system are verified through the experiment.

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A Study on Selection of Block Stockyard Applying Decision Tree Learning Algorithm (의사결정트리 학습을 적용한 조선소 블록 적치 위치 선정에 관한 연구)

  • Nam, Byeong-Wook;Lee, Kyung-Ho;Lee, Jae-Joon;Mun, Seung-Hwan
    • Journal of the Society of Naval Architects of Korea
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    • v.54 no.5
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    • pp.421-429
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    • 2017
  • It is very important to manage the position of the blocks in the shipyard where the work is completed, or the blocks need to be moved for the next process operation. The moving distance of the block increases according to the position of the block stockyard. As the travel distance increases, the number of trips and travel distance of the transporter increases, which causes a great deal of operation cost. Currently, the selection of the block position in the shipyard is based on the know-how of picking up a transporter worker by the production schedule of the block, and the location where the block is to be placed is determined according to the situation in the stockyard. The know-how to select the position of the block is the result of optimizing the position of the block in the shipyard for a long time. In this study, we used the accumulated data as a result of the operation of the yard in the shipyard and tried to select the location of blocks by learning it. Decision tree learning algorithm was used for learning, and a prototype was developed using it. Finally, we prove the possibility of selecting a block stockyard through this algorithm.

The decision of position of a partial discharge in power transformer by measurement of ultra sonic signal (초음파 신호측정에 의한 변압기내의 부분방전위치측정)

  • 문영재
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1992.06a
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    • pp.87-90
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    • 1992
  • Detecting acoustic emission (AE) provides an appropriate method to diagonize on-line transformers, since acoustic signal is not influenced by strong electric field. Then AE versus AE signal processing method is investigated. But this processing is difficult that decision of starting point of AE wave with acoustic noise. This problem is sloved by correlation which calculate time interval between two signals eactly. This paper presents a technique locating the eact position of the partial discharge (PD) in a power transformer by the correlation of the AE signals from two ultrasonic sensors. And PD position is displayed on monitor. Laboratory tests confirmed that the proposed method can be used for locating the PD in power transformer.

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Estimating Position of Mobiles by Multi-Criteria Decision Making (다기준 의사 결정을 이용한 이동체 위치 추정)

  • Kim, Jung-Eun;Kang, Il-Go;Lee, Jong-Chan;Lee, Yang-Weon;Oh, Jae-Chul
    • Journal of Internet Computing and Services
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    • v.6 no.5
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    • pp.167-175
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    • 2005
  • In the microcell or picocell-based system the frequent movements of mobiles bring about excessive traffics Into the networks. A mobile location estimation mechanism can facilitate both efficient resource allocation and better QoS provisioning through handoff optimization. Existing location estimation schemes consider only LOS model and have poor performance in presence of multi-path and shadowing. In this paper we study multi-criteria decision making which can increase estimation accuracy by considering other multiple decision parameters than the received signal strength.

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Effects of critical thinking and nursing practice environment on clinical decision making among nurses (비판적 사고와 간호근무환경이 간호사의 임상적 의사결정에 미치는 영향)

  • Jang, Insil;Lee, Kyoung-Sook
    • Journal of Digital Convergence
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    • v.17 no.2
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    • pp.255-264
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    • 2019
  • This study was a cross-sectional study done to determine the relevance and impact factors of critical thinking and nursing practice environment on clinical decision making among nurses. A survey was conducted for April 2017 with self-report questionnaire. Participants were 261 registered nurses working in one tertiary hospital. Data were analyzed using descriptive statistics, independent t-test, one-way ANOVA, Pearson's correlation coefficients, and hierarchical regression analysis with SPSS/WIN(21.0). Factors affecting clinical decision making included age, educational background, position, work shift, clinical career. Clinical decision making had a positive correlation with critical thinking and nursing practice environment. And position, critical thinking and nursing practice environment accounted for 35.8% of the variance in clinical decision making. Therefore, quality management for developing nursing professionalism and administrative support for effective staffing and resource adequacy in addition improving critical thinking increase nurses'clinical decision making.