• Journal of the Korean housing association
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• v.17 no.2
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• pp.77-85
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• 2006

This study aims to propose the comprehensive evaluation of performance multi-family housing. Most of the existing studies for the reproduction have evaluated by the safety of structure. Therefore those pass over the functional factors which is important for the evaluation of residential qualities. This study represents that the reproduction renovation should not be secured the safety of structure but established the quality of lift. And questionnaire asking expert's opinion also supplemented. As a result, the item for examination and the weight for evaluation are suggested in functional deterioration. The results of this study are summarized as follows: 1. Existent redevelopment criteria are not appropriate to decide the environmental comfort, the vital function of housing and the residential management finance. 2. The future criteria have to evaluate the existing environmental comfort, be reconstructed to put first general deterioration. 3. Evaluation elements was extracted throughout the document research, evaluation elements analysis system was separated in residential area, suburb of dwellings, community, and housing complexity environmental assesment, 4. Each category of influence ratio was extracted to assess total deterioration throughout the expert question survey. 5. Each category analysed (1) $0{\sim}30%$: function is good (unnecessary to improve) (2) $31{\sim}40%$: average (necessary of partial improvement) (3) $41{\sim}59%$: bad (necessary of total improvement) (4) $60{\sim}100%$: the worst (unable to improve throughout the repair)

• (The) Research of the performance art and culture
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• no.41
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• pp.93-131
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• 2020

This article discussed the components of traditional art competitions held from 1930 to 1941. Of their various components, observations were made of hosts and sponsors, participants, and evaluations with a focus on the backgrounds and objectives of hosts and sponsors, participant aspects, and evaluation forms. Hosts and sponsors included newspaper companies, social organizations, music companies, stores, individuals, and eups. They hosted and sponsored traditional art competitions with their own respective reasons and justifications and there were multiple commercial and promotional objectives at the base. Participant aspects can be divided into gisaengs and male artists. While the participation of gisaengs was a natural phenomenon, aspects of the traditional art performance world of the 1930s and the quantitative increase of gisaengs had great effects and male artists participated because of the hidden purpose of the competitions, which was the discovery of traditional artists. Evaluation forms were divided into audience evaluations and expert evaluations. Audience evaluations began from 'pan' culture of the past and audience members involved themselves by casting votes and expert evaluations, in which master singers, master dancers, instrumentalists, and lyricists participated, came to the fore through expert courses of traditional art competitions.

• International Commerce and Information Review
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• v.16 no.2
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• pp.113-129
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• 2014

The present study attempted to test the effects of using external knowledge services on corporate management performance among SMEs. A survey of SMEs that had used external knowledge services was conducted for the analysis. The findings are as follows. First, regarding government-supported knowledge services for SMEs, knowledge service expert groups' competencies and government's support policies had positive effects on the quality of knowledge services. In particular, the knowledge service expert groups' competencies had more significant effects on the quality of knowledge services than the government's support policies. Second, the quality of knowledge services had significantly positive effects on management performance, whilst confidence-related knowledge service quality factors exerted significant effects on enhancing the relationship with customers and the informationization of knowledge. These findings have the following implication and meaning. The present findings indicate that the government's policy to foster and lay the foundation for knowledge service industry should be furthered, e. g. knowledge service supports for individual companies including knowledge service support projects and systems for SMEs and institutional supports for knowledge service companies and expert groups. In sum, this study is meaningful in that it suggests an effective and efficient policy direction for government's knowledge service provision projects.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.53 no.12
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• pp.637-644
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• 2004

This paper proposes an expert system with the knowledge learning capability which can enhance the safety and effectiveness of substation operation in the automated substation as well as existing substation by inferring multiple events such as main transformer fault, busbar fault and main transformer work schedule under multiple inference mode and multiple objective mode and by considering totally the switch status and the main transformer operating constraints. Especially inference mode includes the local minimum tree search method and pattern recognition method to enhance the performance of real-time bus reconfiguration strategy. The inference engine of the expert system consists of intuitive inferencing part and logical inferencing part. The intuitive inferencing part offers the control strategy corresponding to the event which is most similar to the real event by searching based on a minimum distance classification method of pattern recognition methods. On the other hand, logical inferencing part makes real-time control strategy using real-time mode(best-first search method) when the intuitive inferencing is failed. Also, it builds up a knowledge base or appends a new knowledge to the knowledge base using pattern learning function. The expert system has main transformer fault, main transformer maintenance work and bus fault processing function. It is implemented as computer language, Visual C++ which has a dynamic programming function for implementing of inference engine and a MFC function for implementing of MMI. Finally, it's accuracy and effectiveness is proved by several event simulation works for a typical substation.

• Journal of Environmental Science International
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• v.32 no.6
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• pp.429-440
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• 2023

Quantitative habitat model is established with species occurrence and spatial abundance data, which were usually acquired by professional field ecologists and citizen scientists. The importance of citizen science data is increasing, but the quality of these data needs to be evaluated. This study aims to identify and compare both expert-based data and citizen science data based on the performance power of quantitative models derived from both data sets. A Maximum Entropy (MaxENT) model was developed using eight environmental variables, including climate, topography, landcover and distance to forest edge. The AUC values derived from the MaxENT model were 0.842 and 0.809, respectively, indicating a high level of explanatory power. All environmental variables has similar values for both data sets, except for the distance to forest edge and rice paddy, which was relatively higher for expert-based survey data than that of the citizen science data as the distances increased. This result suggests that habitat model derived from expert-based survey data shows more ecological niche including wider ranges from forest edges and isolated habitat patches of rice paddy. This is presumably because citizen scientists focuses on direct observation methods, whereas professional field surveys investigate a wider variety of methods.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.1
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• pp.99-116
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• 2023

The importance of data in the era of the 4th industrial revolution, a hyper-connected society based on information technology such as data and AI, is increasing, and the government is actively enacting and revising laws to revitalize the data economy. It is necessary to prevent and improve problems that may set an obstacle to the revitalization of the data industry or setting the wrong direction, such as possibility of conflict between the regulatory law(Personal Information Protection Act) and the Data Activation Act, differences in position by type of specialized agencies, performance scope of Data Specialist Organization and Expert Data Combination Agency, etc. In regard, I would like to analyze the role, current situation, and use cases of Expert Data Combination Agency, listen to field opinions, and derive and introduce measures to expand the role of Expert Data Combination Agency and improve them to vitalize the data economy

• International Journal of Railway
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• v.2 no.2
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• pp.50-59
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• 2009

Numerous train operating companies provide training by means of driving simulators. A detailed analysis in the course of the rail research project 2TRAIN has shown that the simulation technology, the purposes of training and the overall concept of simulator-based training are rather diverse (Schmitz & Maag, 2008). A joint factor however are weak assessment capabilities and the fact that the simulator training is often not embedded into the overall competence management. This fact hinders an optimal use of the simulators. Therefore, 2TRAIN aims at the development of enhanced training and assessment tools. Taking into account that several simulators are already in use, the focus lays on the extension of existing simulation technology instead of developing entirely new systems. This extension comprises (1) a common data simulation interface (CDSI), (2) a rule-based expert system (ExSys), (3) a virtual instructor (VI), and (4) an _assessment database (AssDB). The foundation of this technical development is an assessment concept (PERMA concept) that is based on performance markers. The first part of the paper presents this assessment concept and a process model for the two major steps of driver performance assessment, i.e. (1) the specification of exercise and assessment and (2) the assessment algorithm and execution of the assessment. The second part describes the rationale and the functionalities of the simulator add-on tools. Finally, recommendations for further technical improvement and appropriate usage are given. based on the results of a pilot study.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.2 no.2
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• pp.115-119
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• 2001

The design and manufacture of injection molded polymeric parts with desired properties is a costly process dominated by empiricism, including the repeated modification of actual tooling. This paper presents an knowledge-based synthesis system which can predict the mechanical performance of a molded product and diagnose the design before the actual mold is machined. The knowledge-based system synergistically combines a rule-based system with CAE programs. Hueristic know]edge of injection molding. flow simulation, and mechanical performance prediction is formalized as rules of an expert consultation system. The expert system interprets the analytical results of the process simulation, predicts the performance, evaluates the design and generates recommendation for optimal design alternatives.

• Journal of the Korean Institute of Intelligent Systems
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• v.10 no.2
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• pp.83-93
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• 2000

This paper proposes the use of the analytic hierarchy process(AHP) controller for obtaining optimal cycle time of traffic intersection signal. By means of simulations that have data from expert traffic estimators, the performance of AHP controller is compared with a fixed-time controller and fuzzy controller. A simulation was executed using data obtained from many expert interviewer of Ansan City hall rotary. The principal issue is how AHP controller algorithm can aid traffic signal supervisor to construct an expert system for traffic intersection signal control. This paper has two steps: (I) we shall present a new methodology based on the work of Satty for calculating a scale of importance of each of the objectives, (2) we also consider that the human's decision mechanism is represented by approximating reasoning where the fuzzy integral is used.

• Journal of Mechanical Science and Technology
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• v.15 no.5
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• pp.580-591
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• 2001

This paper proposes a fuzzy-sliding mode control which is designed by a self tuning fuzzy inference method based on a genetic algorithm. Using the method, the number of inference rules and the shape of the membership functions of the proposed fuzzy-sliding mode control are optimized without the aid of an expert in robotics. The fuzzy outputs of the consequent part are updated by the gradient descent method. It is further guaranteed that the selected solution becomes the global optimal solution by optimizing Akaikes information criterion expressing the quality of the inference rules. In order to evaluate the learning performance of the proposed fuzzy-sliding mode control based on a genetic algorithm, a trajectory tracking simulation of the polishing robot is carried out. Simulation results show that the optimal fuzzy inference rules are automatically selected by the genetic algorithm and the trajectory control result is similar to the result of the fuzzy-sliding mode control which is selected through trial error by an expert. Therefore, a designer who does not have expert knowledge of robot systems can design the fuzzy-sliding mode controller using the proposed self tuning fuzzy inference method based on the genetic algorithm.