• Title/Summary/Keyword: generated set for modules

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An Application of HLA/RTI to Manufacturing Simulations (생산시스템 시뮬레이션을 위한 High Level Architecture/Run-Time Infrastructure의 적용)

  • Hong, Yoon-Gee;Kwon, Soon-Jong
    • IE interfaces
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    • v.13 no.3
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    • pp.528-538
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    • 2000
  • HLA is a general-purpose software architecture for distributed simulation designed to support a wide range of simulation approaches and application. The US DoD's HLA for modeling and simulation can certainly be regarded as the state of the art in distributed simulation. It is a mandatory standard for military simulation. The purpose of this paper is to describe applications of HLA/RTI in multiple domains across the manufacturing systems society. In many and large scale industrial systems, enormous data is generated, and is to be managed in an effective way. It needs a high performance common network library. Furthermore, it must satisfy the real function of system facilities as much as possible. The RTI is an implementation of the interface specification, provided as a set of services. Some applications focusing on the area of a small manufacturing system were demonstrated. The integration could be achieved using the HLA, together with interface modules for each of the subsystems. We have found that HLA/RTI are cable of meeting the functional requirements for a given system environment.

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Software Quality Classification Model using Virtual Training Data (가상 훈련 데이터를 사용하는 소프트웨어 품질 분류 모델)

  • Hong, Euy-Seok
    • The Journal of the Korea Contents Association
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    • v.8 no.7
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    • pp.66-74
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    • 2008
  • Criticality prediction models to identify most fault-prone modules in the system early in the software development process help in allocation of resources and foster software quality improvement. Many models for identifying fault-prone modules using design complexity metrics have been suggested, but most of them are training models that need training data set. Most organizations cannot use these models because very few organizations have their own training data. This paper builds a prediction model based on a well-known supervised learning model, error backpropagation neural net, using design metrics quantifying SDL system specifications. To solve the problem of other models, this model is trained by generated virtual training data set. Some simulation studies have been performed to investigate feasibility of this model, and the results show that suggested model can be an alternative for the organizations without real training data to predict their software qualities.

ALGEBRAS WITH A NILPOTENT GENERATOR OVER ℤp2

  • Woo, Sung-Sik
    • Bulletin of the Korean Mathematical Society
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    • v.43 no.3
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    • pp.487-497
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    • 2006
  • The purpose of this paper is to describe the structure of the rings $\mathbb{Z}_{p^2}[X]/({\alpha}(X))$ with ${\alpha}(X)$ a monic polynomial and $\={X}^{\kappa}=0$ for some nonnegative integer ${\kappa}$. Especially we will see that any ideal of such rings can be generated by at most two elements of the special form and we will find the 'minimal' set of generators of the ideals. We indicate how to identify the isomorphism types of the ideals as $\mathbb{Z}_{p^2}-modules$ by finding the isomorphism types of the ideals of some particular ring. Also we will find the annihilators of the ideals by finding the most 'economical' way of annihilating the generators of the ideal.

A Face Robot Actuated with Artiflcial Muscle (인공근육을 이용한 얼굴로봇)

  • 곽종원;지호준;정광목;남재도;전재욱;최혁렬
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.11
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    • pp.991-999
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    • 2004
  • Face robots capable of expressing their emotional status, can be adopted as an efficient tool for friendly communication between the human and the machine. In this paper, we present a face robot actuated with artificial muscle based on dielectric elastomer. By exploiting the properties of polymers, it is possible to actuate the covering skin, eyes as well as provide human-like expressivity without employing complicated mechanisms. The robot is driven by seven types of actuator modules such as eye, eyebrow, eyelid, brow, cheek, jaw and neck module corresponding to movements of facial muscles. Although they are only part of the whole set of facial motions, our approach is sufficient to generate six fundamental facial expressions such as surprise, fear, anger, disgust, sadness, and happiness. Each module communicates with the others via CAN communication protocol fur the desired emotional expressions, the facial motions are generated by combining the motions of each actuator module. A prototype of the robot has been developed and several experiments have been conducted to validate its feasibility.

Structural Optimization for LMTT-Mover Using Sequential Kriging Based Approximation Model (순차적 크리깅 근사모델을 이용한 LMTT 이송체의 구조최적설계)

  • Park Hyung Wook;Han Dong Seop;Lee Kwon Hee;Han Geun Jo
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2005.10a
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    • pp.289-295
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    • 2005
  • LMTT (Linear Motor-based Transfer Techn-ology) is a horizontal transfer system for the yard automation This system is based on PMLSM (Permanent Magnetic Linear Synchronous Motor) toot consists of stator modules on the rail and shuttle car. In this research, the kriging interpolation method with sequential sampling find the optimum design of mover in LMTT. The design variables are considered as the transverse, longitudinal and wheel beam's thicknesses. The objective function is set up as weight, while the constant function are set up as the stresses generated by four loading conditions. The objective function is set up as weight. The optimum results obtained by the suggested method are compared with those by the GENESIS.

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A Study on the Optimal System Sizing of the Standalone Photovoltaic Power Generation System for Uninterruptible Power Supply (독립형 태양광 발전 시스템의 무정전 전력공급을 위한 시스템 용량 최적 선정에 관한 연구)

  • Kim, Ki-Young;Choi, Woojin
    • The Transactions of the Korean Institute of Power Electronics
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    • v.23 no.2
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    • pp.77-85
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    • 2018
  • Renewable energy has been increasingly used and widely acclaimed as one of the solutions to rampant environmental problems. Among numerous kinds of renewable sources, the penetration rate of the PV system is relatively higher than that of others due to ease of installation. However, one disadvantage of the PV system is its dependence on weather condition. The PV system is especially critical when it is used for standalone systems because it cannot operate when the power generated from a PV module is not enough. Therefore, PV systems are often used with an energy storage system, such as batteries, to store backup energy when the weather condition is insufficient to supply power to the system. Blackout time can be reduced by increasing the size of the energy storage system, but it is a trade-off with system cost. In this work, optimal sizing of a standalone PV system is proposed to supply power to the system without blackout. The sizing of PV modules and batteries is performed by a simulation based on actual irradiation data collected during the past five years. The Life cycle costing of each system is evaluated to determine an optimal set of PV modules and batteries among several different combinations. The standalone PV system designed by the proposed method can supply power to the system with no interruption as long as the weather condition is similar to those of the past five years.

Development, Demonstration and Validation of the Deep Space Orbit Determination Software Using Lunar Prospector Tracking Data

  • Lee, Eunji;Kim, Youngkwang;Kim, Minsik;Park, Sang-Young
    • Journal of Astronomy and Space Sciences
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    • v.34 no.3
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    • pp.213-223
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    • 2017
  • The deep space orbit determination software (DSODS) is a part of a flight dynamic subsystem (FDS) for the Korean Pathfinder Lunar Orbiter (KPLO), a lunar exploration mission expected to launch after 2018. The DSODS consists of several sub modules, of which the orbit determination (OD) module employs a weighted least squares algorithm for estimating the parameters related to the motion and the tracking system of the spacecraft, and subroutines for performance improvement and detailed analysis of the orbit solution. In this research, DSODS is demonstrated and validated at lunar orbit at an altitude of 100 km using actual Lunar Prospector tracking data. A set of a priori states are generated, and the robustness of DSODS to the a priori error is confirmed by the NASA planetary data system (PDS) orbit solutions. Furthermore, the accuracy of the orbit solutions is determined by solution comparison and overlap analysis as about tens of meters. Through these analyses, the ability of the DSODS to provide proper orbit solutions for the KPLO are proved.

Development of Test Method for Flat Panel Display Life Time Prediction during Atmospheric Particle Exposure (평판디스플레이의 대기중 분진농도에 따른 수명예측 시험방법 개발)

  • Yoo, Dong-Hyun;Lee, Gun-Ho;Choi, Jung-Uk;Ahn, Kang-Ho
    • Journal of the Semiconductor & Display Technology
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    • v.12 no.4
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    • pp.45-48
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    • 2013
  • The electronic device, such as flat panel display (FPD), is very important in our life as a means of communication between humans. Liquid crystal display (LCD), which is categorized as a flat panel display, has been used in many display products, especially in TV industry. An LED TV is composed of several electrical components, such as liquid critical module (LCM), analog to digital convertor (AD), power supplier, and inverter board. These modules are very vulnerable to particulate contamination, and causing malfunction or visibility degradation. In this study, we developed a test method for prediction of LCM's lifetime. The test system consists of carbon particle generation flame, dilution system, test chamber, and particle concentration monitoring instrument. Since the carbon particles are the most abundant in the atmosphere and easily absorb light, soot particles are used as a challenging material for this test. The concentration of generated soot particles is set around 4,000,000 #/cc, which is 400 times higher than that of usual atmospheric particles. Through this experiment, we deduced the relationship between the dust concentration and life time of the test specimen.

An Integrated Expert Model for Delay Management in Construction Projects

  • jalal, Majid Parchami;Yousefi, Elham
    • Journal of Construction Engineering and Project Management
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    • v.7 no.3
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    • pp.1-14
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    • 2017
  • Delay claim should actually be supported by a set of proper information so that the contractors could prove their validity. The so-called information should be able to clarify the relationship between delay events and how they impact on the whole project. Therefore, exploiting an integrated system by people who are involved in construction business would certainly prove helpful. In the present study, delay analysis methods have been investigated along with selecting a relatively comprehensive method which has been modified, and eventually, a novel model and its required modules have been proposed for evaluating delay claims. The suggested integrated model is formed to identify delayed events, to classify delays, to measure the impacts of delays on the project scheduling, and finally to estimate the damages which were caused by those so-called delays. A decision support system (DSS) model which is related to the integrated system is actually extracted from Iran's general contract conditions, that is, 4311 magazine (equivalent to red FIDIC book). It is then programmed and coded by C# program. This DSS model can be used as an input of Easy Plan program. In addition, at the end of this research, the coded DSS has been used along with the so-called program so that a modified and developed model could be generated.

FMS 스케쥴링을 위한 Priority 함수의 자동 생성에 관한 연구

  • 김창욱;신호섭;장성용;박진우
    • Proceedings of the Korea Society for Simulation Conference
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    • 1997.04a
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    • pp.93-99
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    • 1997
  • Most of the past studies on FMS scheduling problems may be classified into two classes, namely off-line scheduling and on-line scheduling approach. The off-line scheduling methods are used mostly for FMS planning purposes and may not be useful real time control of FMSs, because it generates solutions only after a relatively long period of time. The on-line scheduling methods are used extensively for dynamic real-time control of FMSs although the performance of on-line scheduling algorithms tends vary dramatically depending on various configurations of FMS. Current study is about finding a better on-line scheduling rules for FMS operations. In this study, we propose a method to create priority functions that can be used in setting relative priorities among jobs or machines in on-line scheduling. The priority functions reflect the configuration of FMS and the user-defined objective functions. The priority functions are generated from diverse dispatching rules which may be considered a special priority functions by themselves, and used to determine the order of processing and transporting parts. Overall system of our work consists of two modules, the Priority Function Evolution Module (PFEM) and the FMS Simulation Module (FMSSM). The PFEM generates new priority functions using input variables from a terminal set and primitive functions from a function set by genetic programming. And the FMSSM evaluates each priority function by a simulation methodology. Based on these evaluated values, the PFEM creates new priority functions by using crossover, mutation operation and probabilistic selection. These processes are iteratively applied until the termination criteria are satisfied. We considered various configurations and objective functions of FMSs in our study, and we seek a workable solution rather than an optimum or near optimum solution in scheduling FMS operations in real time. To verify the viability of our approach, experimental results of our model on real FMS are included.

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