• Title/Summary/Keyword: Expert Model

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Anti-sway and Position 3D Control of the Nonlinear Crane System using Fuzzy Algorithm

  • Lee, Tae-Young;Lee, Sang-Ryong
    • International Journal of Precision Engineering and Manufacturing
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    • v.3 no.1
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    • pp.66-75
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    • 2002
  • The crane operation used fur transporting heavy loads causes a swinging motion with the loads due to the crane\`s acceleration and deceleration. This sway causes the suspension ropes to leave their grooves and can cause serious damage. Ideally, the purpose of a crane system is to transport loads to a goal position as soon as possible without any oscillation of the rope. Currently, cranes are generally operated based on expert knowledge alone, accordingly, the development of a satisfactory control method that can efficiently suppress object sway during transport is essential. The dynamic behavior of a crane shows nonlinear characteristics. When the length of the rope is changed, a crane becomes a time-varying system thus the design of an anti-sway controller is very difficult. In this paper, a nonlinear dynamic model is derived for an industrial overhead crane whose girder, trolley, and hoister move simultaneously. Furthermore, a fuzzy logic controller, based on expert experiments during acceleration, constant velocity, deceleration, and stop position periods is proposed to suppress the swing motion and control the position of the crane. Computer simulation is then used to test the performance of the fuzzy controller with the nonlinear crane model.

A Study on the Demand Forecasting for IMT-2000 Services (IMT-2000 서비스의 수요예측)

  • Im, Su Deok;Jo, Jung Jae;Hwang, Jin Su;Jo, Yong Hwan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.24 no.12A
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    • pp.2025-2033
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    • 1999
  • In this paper, we forecast launching time of the commercial IMT-2000 service as feb. 2001, according to expert’s opinion, and most of they forecast rapid evolution. And, we propose two different models according to two cases for competition power of price for IMT-2000 service subscriber demand forecasting. In this paper, we combine the expert’s opinion method with the growth curve model for demand forecasting for new products in order to reduce error of the demand forecasting that haven’t past references. The estimation of needed coefficients for each growth curve model is based on experts’ subjective opinions.

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Anti-sway and 3D position Control of the Nonlinear Crane System using Fuzzy Algorithm (퍼지 알고리즘을 이용한 비선형 크레인 시스템의 진동방지 및 3차원 위치제어)

  • Lee, Tae-Young;Lee, Sang-Ryong
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.8
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    • pp.193-202
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    • 1999
  • Crane operation for transporting heavy loads causes swinging motion at the loads due to crane's acceleration and deceleration. This sway causes the suspension ropes to leave their grooves and leads to possibility of serious damages. So, this swing of the objects is a serious problem and the goal of crane system is transporting to a goal position as soon as possible without the oscillation of the rope. Generally crane is operated by expert's knowledge. Therefore, a satisfactory control method to supress object sway during transport is indispensible. The dynamic behavior of the crane shows nonlinear characteristics. when the length of the rope is changed the crane is time varying system and the design of anti-sway controller is very difficult. In this paper, the nonlinear dynamic model for the industrial overhead crane whose girder, trolley and hoister move simultaneously is derived. and the Fuzzy logic controller based on the expert experiments during acceleration, constant velocity, deceleration and stop position period is proposed to supress the swing motion and control the position of the crane. The performance of the fuzzy controller for the nonlinear crane model is simulated on the personal computer.

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A Plan to Establish Agriculture and Fisheries Special Channel - Marketing Expert, Farmer and Fisher, Broadcasting Expert FGI Result - (농수산식품 전문채널 설립방안 - 농수산 마케팅 전문가, 농수산업인, 방송전문가 FGI 결과 -)

  • Park, Ji Seob;Moon, Junghoon;Kim, Jin Gi
    • Agribusiness and Information Management
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    • v.2 no.1
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    • pp.15-29
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    • 2010
  • Recently, IPTV population is growing by leaps and bounds. and We performed FGI(Focus Group Interview) with various experts related to agriculture field to establish Agriculture and Fisheries special channel. this growth has social background that is change of paradigm caused by the convergence of broadcasting, demand for Agriculture and Fisheries special channel using new media thanks to interests in Wellbeing, Green food. so we think that we need to consider the way to establish Agriculture and Fisheries special channel and its validity from all angles. that is why we are having a heated discussion with Agriculture and Fisheries marketing experts, farmer, fisher(Korean Cyber Farmer Association), broadcasting experts. Concretely, government budget is needed to establish Agriculture and Fisheries special channel, so we are just about to examine its validity and find business model. to make this discussion detailed, we made 4 subjects. First, Do we need agro-fishery products distribution channel using media? Second, After establishing of Agriculture and Fisheries special channel, how many demands will occur? Third, Should we make Agriculture and Fisheries special channel public channel? Fourth, What would be profit model of Agriculture and Fisheries special channel?

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The Impact of Psychological and Environmental Factors on Consumers' Purchase Intention toward Organic Food: Evidence from Vietnam

  • NGUYEN, Dinh Toan;TRUONG, Dinh Chien
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.915-925
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    • 2021
  • The study investigates some psychological and environmental factors affecting the intention to purchase organic foods of consumers in the inner-city of Hanoi. Impact factors applied for the study include three psychological factors (health concern, environmental concern, consumer awareness of organic foods) and seven environment factors (family's opinion, friends and colleagues' opinion, influence of celebrities, expert's opinion, social status, mass media, state's encouragement). We analyzed research data from 396 consumers to measure the impacting level of these factors. The convenient sampling method was used to collect the research sample. The measurement applied a 5-point Likert scale classifying from 1-completely disagree to 5-completely agree. Based on previous studies, the research model was recommended. We had estimated the reliability of the scales through Cronbach's Alpha and composite reliability. The research data is analyzed by using Structural Equation Model method (SEM). The findings of the study suggest that psychological factors (health concern, environmental concern, consumer awareness of organic foods) had a significantly positive influence on consumer's purchase attention toward organic food. The results also revealed that environmental factors (family's opinion, friends and colleagues' opinion, influence of celebrities, expert's opinion, mass media) were positively linked to consumer's purchase attention toward organic food.

An Improved Multilevel Fuzzy Comprehensive Evaluation to Analyse on Engineering Project Risk

  • LI, Xin;LI, Mufeng;HAN, Xia
    • The Journal of Economics, Marketing and Management
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    • v.10 no.5
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    • pp.1-6
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    • 2022
  • Purpose: To overcome the question that depends too much on expert's subjective judgment in traditional risk identification, this paper structure the multilevel generalized fuzzy comprehensive evaluation mathematics model of the risk identification of project, to research the risk identification of the project. Research design, data and methodology: This paper constructs the multilevel generalized fuzzy comprehensive evaluation mathematics model. Through iterative algorithm of AHP analysis, make sure the important degree of the sub project in risk analysis, then combine expert's subjective judgment with objective quantitative analysis, and distinguish the risk through identification models. Meanwhile, the concrete method of multilevel generalized fuzzy comprehensive evaluation is probed. Using the index weights to analyse project risks is discussed in detail. Results: The improved fuzzy comprehensive evaluation algorithm is proposed in the paper, at first the method of fuzzy sets core is used to optimize the fuzzy relation matrix. It improves the capability of the algorithm. Then, the method of entropy weight is used to establish weight vectors. This makes the computation process fair and open. And thereby, the uncertainty of the evaluation result brought by the subjectivity can be avoided effectively and the evaluation result becomes more objective and more reasonable. Conclusions: In this paper, we use an improved fuzzy comprehensive evaluation method to evaluate a railroad engineering project risk. It can give a more reliable result for a reference of decision making.

Retrieval methodology for similar NPP LCO cases based on domain specific NLP

  • No Kyu Seong ;Jae Hee Lee ;Jong Beom Lee;Poong Hyun Seong
    • Nuclear Engineering and Technology
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    • v.55 no.2
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    • pp.421-431
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    • 2023
  • Nuclear power plants (NPPs) have technical specifications (Tech Specs) to ensure that the equipment and key operating parameters necessary for the safe operation of the power plant are maintained within limiting conditions for operation (LCO) determined by a safety analysis. The LCO of Tech Specs that identify the lowest functional capability of equipment required for safe operation for a facility must be complied for the safe operation of NPP. There have been previous studies to aid in compliance with LCO relevant to rule-based expert systems; however, there is an obvious limit to expert systems for implementing the rules for many situations related to LCO. Therefore, in this study, we present a retrieval methodology for similar LCO cases in determining whether LCO is met or not met. To reflect the natural language processing of NPP features, a domain dictionary was built, and the optimal term frequency-inverse document frequency variant was selected. The retrieval performance was improved by adding a Boolean retrieval model based on terms related to the LCO in addition to the vector space model. The developed domain dictionary and retrieval methodology are expected to be exceedingly useful in determining whether LCO is met.

Research on Development of Housing Welfare Program Satisfaction Evaluation Tool -Focusing on housing welfare programs for residents of long-term public rental housing in Seoul-

  • Yoon Hye JUNG;Jung Seok OH
    • The Journal of Economics, Marketing and Management
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    • v.12 no.1
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    • pp.53-64
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    • 2024
  • Purpose: The purpose of this study is to develop a satisfaction evaluation survey tool that reflects the characteristics of the program for housing welfare supported in long-term public rental housing in Seoul. Research design, data and methodology: The main research methods of the study were review of previous studies, literature review, and expert consultation. Results: First, the characteristics of each housing welfare program being promoted by Seoul City were summarized, and the characteristics were reflected in the evaluation survey tool. Second, the SERVOUAL model, a service quality model, was used to measure satisfaction with the housing welfare program and modified to suit the characteristics of the program. Third, an evaluation survey tool was constructed by dividing the evaluation tool into common questions and individual questions, and for the operation and sustainability of the housing welfare program, rather than just evaluating satisfaction, program loyalty was used as a survey item. Fourth, through expert advice, more than 10 evaluation questions for each housing welfare program were revised. Conclusions: The results of future research are expected to be used to prepare practical operation plans through annual monitoring of housing welfare programs and comparative analysis between programs.

Development of Drawbead Expert Models for Finite Element Analysis of Sheet Metal Forming Processes (Part1:Experiment) (박판성형공정의 유한요소해석을 위한 드로우비드 전문모델 개발(1부: 실험))

  • Lee, Jae-U;Keum, Yeong-Tak
    • Transactions of Materials Processing
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    • v.7 no.1
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    • pp.3-11
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    • 1998
  • During the forming process of sheet metals, the drawbead in the die face controls a restraining force so that the sheet flows into the die cavity with tension. In order to investigate a drawgbead restraining force and a pre-strain just after drawbeads which are essential in the finite element analysis of form-ing processes, the friction test and drawing test are employed. The experiments performed with a cir-cular bead stepped bead double circular bead and circular-and-stepped bead in the various forming conditions and bead sizes show that the restraining force varies linearly with the blank holding force. bead radius blank thickness and friction but the pre-strain nonlinearly does with them.

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Artificial Intelligence-Based Stepwise Selection of Bearings

  • Seo, Tae-Sul;Soonhung Han
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.01a
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    • pp.219-223
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    • 2001
  • Within a mechanical system such as an automotive the number of standard machine parts is increasing, so that the parts selection becomes more important than ever before. Selection of appropriate bearings in the preliminary design phase of a machine is also important. In this paper, three decision-making approaches are compared to find out a model that is appropriate to bearing selection problem. An artificial neural network, which is trained with real design cases, is used to select a bearing mechanism at the first step. Then, the subtype of the bearing is selected by the weighting factor method. Finally, types of peripherals such as lubrication methods are determined by a rule-based expert system.

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