• Journal of The Korean Society of Agricultural Engineers
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• v.66 no.4
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• pp.17-26
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• 2024

This study aimed to design and build a web-based decision support system for wheat cultivation management. The system is designed to collect and measure the weather environment at the growth stage on a daily basis and predict the soil moisture content. Based on this, APSIM, one of the process-based crop models, was used to predict the potential yield of wheat cultivation in real time by making decisions at each stage. The decision-making system for wheat crop management was designed to provide information through a web-based dashboard in consideration of user convenience and to comprehensively evaluate wheat yield potential according to past, present, and future weather conditions. Based on the APSIM model, the system estimates the current yield using past and present weather data and predicts future weather using the past 40 years of weather data to estimate the potential yield at harvest. This system is expected to be developed into a decision support system for farmers to prescribe irrigation and fertilizer in order to increase domestic wheat production and quality by enhancing the yield estimation model by adding influence factors that can contribute to improving wheat yield.

• Journal of Information Technology Services
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• v.5 no.3
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• pp.187-201
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• 2006

Nowadays, many organizations more increasingly show their interests in developing informations systems through not only in-house development but outsourcing. Selecting a proper information system developer, however, is not easy task partly due to the absence of evaluation criteria pertinent to explain the pros and cons of information system developers considered. Further, much care should be taken of choosing an appropriate decision method applicable to semi-structured or strategical decision making problems such as selection of information system developer even though evaluation criteria are well provided. The purpose of this paper is to provide for the selection process, ranging from identification of problem structure to solution method, of information system developer with the use of Analytic Hierarchy Process(AHP).

• Journal of Intelligence and Information Systems
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• v.12 no.4
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• pp.127-136
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• 2006

This paper describes the result of a case study for developing an expert system framework in order to support Korean Army tactical C4I system. Korean Army had developed an expert system, STAFS(Situation & Threat Assessment Fusion Expert System), for supporting field intelligence analysis activities which has been implemented through traditional manual process inside the division level combat briefing room. STAFS, however, has serious limitations for supporting combat commander's decision making processes because of its limited capabilities, since the system had been developed for supporting only intelligence analysis function rather than for integrated combat decision making processes inside the combat briefing room. Thus, this paper proposed an integrated expert system framework for supporting the commander's decision making by addressing various activities implemented in the briefing room.

• 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.

• Korean Journal of Agricultural Science
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• v.26 no.2
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• pp.106-115
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• 1999

It will become necessary for farmers to adopt information technology into commercialized farming system, since its productivity is increasingly linked to how to exploit the agricultural information. The purpose of this study is to examine the current status of information technology and to suggest ways to utilize the information technology for innovative farm management. Internet should become more important instruments which farmers might utilize in order to collect and mine the agricultural information because of its rapidity, reliability and precision. Also farmers should be encouraged to adopt a GIS-based farm management decision support system and to integrate the market information and geographic information such as soil, water, temperature, etc. for optimal decision making. Another way of improving farm management is to make farmers use agricultural accounting software for individual farmers and develop farming simulation system which analyze a farmer's current financial condition and suggest how to improve it. Making home page would be major marketing strategy for farmers to promote the sales of agricultural products.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.2
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• pp.284-310
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• 2024

Identifying clinical pathways for disease diagnosis and treatment process recommendations are seriously decision-intensive tasks for health care practitioners. It requires them to rely on their expertise and experience to analyze various categories of health parameters from a health record to arrive at a decision in order to provide an accurate diagnosis and treatment recommendations to the end user (patient). Technological adaptation in the area of medical diagnosis using AI is dispensable; using expert systems to assist health care practitioners in decision-making is becoming increasingly popular. Our work architects a novel knowledge-based recommender system model, an expert system that can bring adaptability and transparency in usage, provide in-depth analysis of a patient's medical record, and prescribe diagnostic results and treatment process recommendations to them. The proposed system uses a set of parallel discrete fuzzy rule-based classifier systems, with each of them providing recommended sub-outcomes of discrete medical conditions. A novel knowledge-based combiner unit extracts significant relationships between the sub-outcomes of discrete fuzzy rule-based classifier systems to provide holistic outcomes and solutions for clinical decision support. The work establishes a model to address disease diagnosis and treatment recommendations for primary lung disease issues. In this paper, we provide some samples to demonstrate the usage of the system, and the results from the system show excellent correlation with expert assessments.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.13 no.6
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• pp.54-60
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• 2014

In industry, several casting process are widely used to manufacture complex and accurate blank part of hard materials such as aluminum, casting steels, bronze and magnesium alloys which are difficult to manufacture in a blank shape. Even if the casting process does not high accuracy superior surface characteristics other machining process, the casting process is widely used in manufacturing blank part. Furthermore, it is difficult to select appropriate casting process a part among several casting process. for effective selection different process, a careful decision given casting application is necessary. An appropriate casting for a given material and shape condition must be selected for novice engineers in industry. In this paper, an expert system based on an analytic network process(ANP) is suggested for best selection of casting considering a prior interdependency effect among various factors such as material, geometry, process capability, economy and equipment.

• Transactions of the Korean Society of Mechanical Engineers
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• v.17 no.12
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• pp.3124-3134
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• 1993

Diagnosis is composed of two different but interrelated steps ; retrieving the sensory responses f the system and reasoning the state of the system through the given sensor data. This paper explains the probabilistic nature of reasoning involved in the diagnosis when the uncertainties are inevitably included in experts' diagnostic decision making. Uncertainties in decision making are experts' personal experiences, preferences, and system's coherent characteristics. In order to ensure a consistent decision based on the same responses from the system, expert system technology is adopted with the Bayesian reasoning scheme.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.11 no.1
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• pp.62-71
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• 2008

Recently, the expansion of housing developments has reduced green areas in cities. The reduction of green areas caused many negative effects on human beings. For functional improvement of ecosystem, government focuses on artificial ground greening because it gives improving microclimate and saving energy consumption. This research aims to develop the system to support decision making of greening for artificial ground greening. This system consist of rooftop greening, wall greening, and street greening system which can suggest proper type of greening and calculate the effect of the greening considering the proponents inputs. It presents social, economic, and ecological value such as cost, energy saving, and temperature reduction. As it is web-based system users can easily access with internet. This system provides automatic selection modes.As a result, with this developed web-based system, decision makers can evaluate the effect of artificial ground green easily and the support to such movement will increase.

• Journal of Families and Better Life
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• v.23 no.1 s.73
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• pp.125-137
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• 2005

Information technology is an important driving force that has changed consumer information environments. In order to adjust in the new environments, consumers need an innovative information system. The purpose of this study was to develop a Consumer Information System (CIS). CIS is a device that supports consumer's decision-making process and elevates consumer information competence. The CIS was constructed by the following steps: (1) organization of developers, (2) systematization of consumer information, (3) data loading, (4) integration of consumer database: data warehouse, (5) data distribution, (6) composition of data mart, (7) use of data access tools: data-mining, OLAP, statistical analysis, Q+R, (8) data visualization: web server.