• Title/Summary/Keyword: Integrated research method

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FMS process planning using a symmetric multi-layered coevolutionary algorithm (대칭형 다계층 공진화 알고리듬을 이용한 FMS 공정계획)

  • Kim Jae Yun;Kim Yeo Geun
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2003.05a
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    • pp.1048-1055
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    • 2003
  • This paper proposes a new method of solving integrated problems that consist of several sub-problems in a symmetric multi-layered structure, and also demonstrate the applicability of the method. The proposed method is named Symmetric Multi-layered Coevolutionary Algorithm (SMCA). The SMCA imitates partly the natural process of endosymbiotic evolution, which is a special type of coevolution. The SMCA is applied to the process planning problem in flexible manufacturing system (FMS), taking account of the flexibility of machine, tool, process, and sequence. To do this, SMCA's components are studied and its strategies are developed to improve the performance. The proposed algorithm is compared with the existing ones in terms of solution quality. The experimental results confirm the effectiveness of our approach.

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Minimization of Warpage in Injection-molded Parts By Optimal Design of U-type Ribs (U자형 리브의 최적설계에 의한 사출제품의 휨 최소화)

  • Park, Jong-Cheon;Kim, Kwang-Ho;Kim, Kyung-Mo;Koo, Bon-Heung
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.7 no.1
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    • pp.53-61
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    • 2008
  • In this research, the layout and geometry of U-type ribs in the part, including significant process conditions, are automatically optimized to reduce part warpage with robustness in consideration. The optimization procedure are based on an iterative redesign methodology integrated with computer aided injection molding simulation, Taguchi's Design of Experiment(DOE), and a direct search-based optimization method. The robustness of a design alternative is efficiently measured by introducing composite noise factor and Taguchi's signal-to-noise ratio. As a solution search methodology, the modified design space reduction method based on orthogonal arrays is employed to exploit an optimal robust design alternative. To illustrate the proposed methodology, a case study is performed on simulation results, where an optimal robust design alternative is obtained with a moderate number of iterations.

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Quantitative Evaluation Method for Etch Sidewall Profile of Through-Silicon Vias (TSVs)

  • Son, Seung-Nam;Hong, Sang Jeen
    • ETRI Journal
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    • v.36 no.4
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    • pp.617-624
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    • 2014
  • Through-silicon via (TSV) technology provides much of the benefits seen in advanced packaging, such as three-dimensional integrated circuits and 3D packaging, with shorter interconnection paths for homo- and heterogeneous device integration. In TSV, a destructive cross-sectional analysis of an image from a scanning electron microscope is the most frequently used method for quality control purposes. We propose a quantitative evaluation method for TSV etch profiles whereby we consider sidewall angle, curvature profile, undercut, and scallop. A weighted sum of the four evaluated parameters, nominally total score (TS), is suggested for the numerical evaluation of an individual TSV profile. Uniformity, defined by the ratio of the standard deviation and average of the parameters that comprise TS, is suggested for the evaluation of wafer-to-wafer variation in volume manufacturing.

SOC/SOH Estimation Method for AGM Battery by Combining ARX Model for Online Parameters Identification and DEKF Considering Hysteresis and Diffusion Effects (파라미터 식별을 위한 ARX 모델과 히스테리시스와 확산 효과를 고려한 이중 확장 칼만필터의 결합에 의한 AGM 배터리의 SOC/SOH 추정방법)

  • Tran, Ngoc-Tham;Choi, Woojin
    • Proceedings of the KIPE Conference
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    • 2014.07a
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    • pp.401-402
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    • 2014
  • State of Charge (SOC) and State of Health (SOH) are the key issues for the application of Absorbent Glass Mat (AGM) type battery in Idle Start Stop (ISS) system which is popularly integrated in Electric Vehicles (EVs). However, battery parameters strongly depend on SOC, current rate and temperature and significantly change over the battery life cycles. In this research, a novel method for SOC, SOH estimation which combines the Auto Regressive with external input (ARX) method using for online parameters prediction and Dual Extended Kalman Filter (DEKF) algorithm considering hysteresis is proposed. The validity of the proposed algorithm is verified by the simulation and experiments.

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Orbital Dungeon Generation: A Method for Creating Dungeons Quickly and Dynamically

  • Udjaja, Yogi
    • Journal of information and communication convergence engineering
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    • v.20 no.1
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    • pp.41-48
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    • 2022
  • With the development of technology, the procedures for making systems are altered. Jobs that were initially difficult with technology have become easier. Likewise with work as a developer. In this era, it takes work that can be done quickly, precisely, and accurately. Inspired by the Copernicus' theory that the sun is the center of the solar system, this research aims to create a plugin that is integrated with the Unity game engine so that it can create dungeons quickly and dynamically using the orbital dungeon generation method. In general, games that have several dungeons are role playing games genre with the roguelike subgenre, where games of this type are widely adopted by well-known games. This method is expected to be employed by developers, especially game developers, to simplify and speed up the creation of games using dungeons, because the complexity of the system that is made can be adjusted according to needs.

A MONITORING METHOD OF PROJECT PROGRESS WITH RFID TECHNOLOGY

  • Soungho Chae ; Naruo Kano
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.491-496
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    • 2005
  • In this paper, the authors explained the overview of a method for detecting location of worker for development of a monitoring system for project progress management using RFID technology. Data is the RSSI (Receive Signal Strength Indication) from RFID tag attached to the worker installing a rolling shutter, and was obtained from antennas and RFID readers set around the construction site. Neural network was done using RSSI collected and the area where worker is performing a task, and an estimation model of the working area was prepared. The network had a range of the percentage of correctly classified from 62% to 92%. The authors suggested the method to make estimate by using integrated networks prepared in respect of RFID readers, and showed the percentage of correctly classified of 84.3%. According to the result, the authors confirmed the possibility of the monitoring system with RFID technology, and mentioned the factors necessary to develop for further practical use.

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A Finite Element Model for Predicting the Microstructural Evolution in Hot Rolling (열간압연시 미세조직 예측을 위한 유한요소 모델)

  • Cho, Hyunjoong;Kim, Naksoo
    • Journal of the Korean Society for Precision Engineering
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    • v.14 no.9
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    • pp.90-100
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    • 1997
  • A full three-dimensional thermo-coupled rigid-viscoplastic finite element method and the currently developed microstructural evolution system which includes semi-empirical equations suggested by different research groups were used together to form an integrated system of process and micro- structure simulation of hot rolling. The distribution and time histroy of the momechanical variables such as temperature, strain, strain rate, and time during pass and between passes were obtained from the finite element analysis of multipass hot rolling processes. The distribution of metallurgical variables were calculated on the basis of instantaneous thermomechanical data. For the verification of this method the evolution of microstructure in plate rolling and shape rolling was simulated and their results were compared with the data available in the literature. Consequently, this approach makes it possible to describe the realistic evolution of microstructure by avoiding the use of erroneous average value and can be used in CAE of multipass hot rolling.

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Semantic-based Mashup Platform for Contents Convergence

  • Yongju Lee;Hongzhou Duan;Yuxiang Sun
    • International journal of advanced smart convergence
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    • v.12 no.2
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    • pp.34-46
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    • 2023
  • A growing number of large scale knowledge graphs raises several issues how knowledge graph data can be organized, discovered, and integrated efficiently. We present a novel semantic-based mashup platform for contents convergence which consists of acquisition, RDF storage, ontology learning, and mashup subsystems. This platform servers a basis for developing other more sophisticated applications required in the area of knowledge big data. Moreover, this paper proposes an entity matching method using graph convolutional network techniques as a preliminary work for automatic classification and discovery on knowledge big data. Using real DBP15K and SRPRS datasets, the performance of our method is compared with some existing entity matching methods. The experimental results show that the proposed method outperforms existing methods due to its ability to increase accuracy and reduce training time.

Bishop theory and longitudinal vibration of nano-beams by two-phase local/nonlocal elasticity

  • Reza Nazemnezhad;Roozbeh Ashrafian;Alireza Mirafzal
    • Advances in nano research
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    • v.15 no.1
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    • pp.75-89
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    • 2023
  • In this paper, Bishop theory performs longitudinal vibration analysis of Nano-beams. Its governing equation, due to integrated displacement field and more considered primarily effects compared with other theories, enjoys fully completed status, and more reliable results as well. This article aims to find how Bishop theory and Two-phase elasticity work together. In other words, whether Bishop theory will be compatible with Two-phase local/nonlocal elasticity. Hamilton's principle is employed to derive governing equation of motion, and then the 6th order of Generalized Differential Quadrature Method (GDQM) as a constructive numerical method is utilized to attain the discretized two-phase formulation. To acquire a proper verification procedure, exact solution is prepared to be compared with current results. Furthermore, the effects of key parameters on the objective are investigated.

Revaluation of Inelastic Structural Response Factor for Seismic Fragility Evaluation of Equipment (기기의 지진취약도 평가를 위한 구조물 비탄성구조응답계수의 재평가)

  • Park, Junhee;Choi, In-Kil
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.28 no.3
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    • pp.241-248
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    • 2015
  • There are a lot of equipment related to safety and electric power production in nuclear power plants. The structure and equipment in NPPs were generally designed considering a high safety factor to remain in the elastic zone under earthquake load. However it is needed to revaluate the seismic capacity of the structure and equipment as the magnitude of earthquake was recently increased. In this study the floor response due to the nonlinear behaviors of structure was analyzed and the inelastic structural response factor was calculated by the nonlinear time history analysis. The inelastic structural response factor was calculated by the EPRI method and the nonlinear analysis method to realistically evaluate the seismic fragility for the equipment. According to the analysis result, it was represented that the inelastic structural response factor was affected by the natural frequency of equipment, the location of equipment and the dynamic property of structure.