• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.1
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• pp.7-12
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• 2005

This paper deals with the fuzzy modeling for the complex and uncertain nonlinear systems, in which conventional and mathematical models may fail to give satisfactory results. Finally, we provide numerical examples to evaluate the feasibility and generality of the proposed method in this paper. The expert system which introduces fuzzy logic in order to process uncertainties is called fuzzy expert system. The fuzzy expert system, however, has a potential problem which may lead to inappropriate results due to the ignorance of some information by applying fuzzy logic in reasoning process in addition to the knowledge acquisition problem. In order to overcome these problems, We construct fuzzy inference network by extending the concept of reasoning network in this paper. In the fuzzy inference network, the propositions which form fuzzy rules are represented by nodes. And these nodes have the truth values representing the belief values of each proposition. The logical operators between propositions of rules are represented by links. And the traditional propagation rule is modified.

• Journal of the Korea Institute of Military Science and Technology
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• v.20 no.2
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• pp.187-196
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• 2017

The size of raw data has dramatically increased due to the recent trend of Synthetic Aperture Radar(SAR) development plans for high resolution and high definition image acquisition. The large raw data has an impact on satellite operability due to the limitations of storage and transmission capacity. To improve the SAR operability, the SAR raw data shall be compressed before transmission to the ground station. The Block Adaptive Quantization (BAQ) algorithm is one of the data compression algorithm and has been used for a long time in the spaceborne SAR system. In this paper, an optimization method of BAQ threshold table is introduced using real SAR raw data to prevent the degradation of signal quality caused by data compression. In this manner, a new variation estimation strategy and a new threshold method for block type decision are introduced.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.9
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• pp.1342-1353
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• 2002

The purpose of this study was to provide the basic information to be helpful in establishing more rational prices discount strategy in prices discount advertising. The experiment design for study was a $3{\times}2{\times}3$ between subject factorial design in which the factors were discount presentation types(discount price presentation/discount rate presentation/discount price and discount rate presentation), existence of normal price presentation(presentation/ non-presentation) and semantic cues(regular sales/markdown on the previous season's product/storehouse opening sales). Thirty subjects were randomized in one of 18 experimental conditions. The subjects of this study were 540 female university students in Kwangju, Korea. The results were as follows; 1. Significant interaction effects between discount presentation types and the semantic cues were found in perceived transaction value(p<.01), perceived acquisition value(p<.05), and purchase intention(p<.05)- It means that discount presentation types in prices discount advertising need to present differently according to price discount types. 2. Significant interaction effects between existence of normal price and the semantic cues were not found. It means that normal price need to present in prices discount advertising regardless of price discount types.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.1
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• pp.159-177
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• 2018

Participatory sensing is becoming popular and has shown its great potential in data acquisition for ambient assisted living. In this paper, we propose an incentive mechanism in participatory sensing for ambient assisted living, which benefits both the platform and the mobile devices that participated in the sensing task. Firstly, we analyze the profit of participant and platform, and a Stackelberg game model is formulated. The model takes privacy, reputation, power state and quality of data into consideration, and aims at maximizing the profit for both participant and publisher. The discussion of properties of the game show that there exists an unique Stackelberg equilibrium. Secondly, two algorithms are given: one describes how to reach the Stackelberg equilibrium and the other presents the procedures of employing the incentive strategy. Finally, we conduct simulations to evaluate the properties and effectiveness of the proposed mechanism. Simulation results show that the proposed incentive mechanism works well, and the participants and the publisher will be benefitted from it. With the mechanism, the total amount of sensory data can be maximized and the quality of the data can be guaranteed effectively.

• Knowledge Management Research
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• v.19 no.1
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• pp.147-174
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• 2018

Recently, firms have been putting forth significant efforts to fulfill various demands and high expectations of customers. The role and importance of customer centers as a direct contact point for customer relationship management are more emphasized than previously. A customer center draws attention as a new alternative to secure corporate competitiveness as it contributes to sales increase, being in a position to satisfy customers' needs by ensuring customers' access to information. A customer center is an aggregation of various information and communication technologies. In particular, a voice recognition/analysis technology based on big data can elaborate customer services further, enhance customer satisfaction, and trigger constant interactions with customers. A customer center can be transformed to a hub of customer knowledge and the embodiment of business intelligence in the front line of business. This article is a case study on how the customer center of the K life insurance company regarding customer center operation collects and analyzes customer information and how it has established its voice recognition/analysis system based on big data to improve customer experience management. Factors affecting the successful introduction and implementation of voice recognition/analysis system to a firm, are examined.

• Management Science and Financial Engineering
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• v.17 no.1
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• pp.45-63
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• 2011

The aim of this paper is to consider the process of supplying trained workers with knowledge and skills for upcoming business opportunities and the process of training apprentices to be prepared to meet future demands in an IT service firm. As the demand for new workers fluctuates, a firm should employ a buffer workforce such as apprentices or interns. However, as a result of rapid business development, the capacity of the buffer may be exceeded, thus requiring the company to recruit skilled workers from outside the firm. Therefore, it is important for a firm to map out a strategy for manpower planning so as to fulfill the demands of new business and minimize the operation costs related to training apprentices and recruiting experienced workers. First, this paper analyzes the supply and demand of workers for the IT service in a knowledge-intensive field. It then presents optimal human resource planning strategies via the familiar method of stochastic process. Also, we illustrate that our model is applied to the human resource planning of an information security service firm in South Korea.

• Spatial Information Research
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• v.14 no.1 s.36
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• pp.1-13
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• 2006

To understand road state more quickly and accurately, KICT(Korea Institute of Construction Technology) executing a project that acquire high resolution color CCD images of the whole national highway every 10m, and offer images to the HMS(Highway Management System). At this time, national highway images of the Kyeonggki-Do, Kangwon-Do and Chungcheong-Do province were linked to the HMS and being offered to user. In this paper, from acquisition using highway photologging vehicle to database construction, the whole image-related data processes are described such as match images with their positions one to one or rearrange data acquired by road line to by management office.

• Mycobiology
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• v.44 no.1
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• pp.38-47
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• 2016

The ascomycete fungus Mycosphaerella graminicola (synonym Zymoseptoria tritici) is an important pathogen of wheat causing economically significant losses. The primary nutritional mode of this fungus is thought to be hemibiotrophic. This pathogenic lifestyle is associated with an early biotrophic stage of nutrient uptake followed by a necrotrophic stage aided possibly by production of a toxin or reactive oxygen species (ROS). In many other fungi, the genes CREA and AREA are important during the biotrophic stage of infection, while the NOXa gene product is important during necrotrophic growth. To test the hypothesis that these genes are important for pathogenicity of M. graminicola, we employed an over-expression strategy for the selected target genes CREA, AREA, and NOXa, which might function as regulators of nutrient acquisition or ROS generation. Increased expressions of CREA, AREA, and NOXa in M. graminicola were confirmed via quantitative real-time PCR and strains were subsequently assayed for pathogenicity. Among them, the NOXa over-expression strain, NO2, resulted in significantly increased virulence. Moreover, instead of the usual filamentous growth, we observed a predominance of yeast-like growth of NO2 which was correlated with ROS production. Our data indicate that ROS generation via NOXa is important to pathogenicity as well as development in M. graminicola.

• Journal of the military operations research society of Korea
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• v.18 no.2
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• pp.1-22
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• 1992

Computer-aided logistics support system is recognized an essential system to reduce supply and maintenance cost, and to improve readiness of weapon system or operationable composite machines. According to these trends, this paper focuses on the design scheme and the computerization strategy of information management system for Integrated Logistics Support (ILS) work. Suggested system. LAMIS(Logistics support Analysis Management Information System) is a total system that composed of Logistics Support Analysis Management information system (LSAM), Configuration Management Information System (CMIS), Maintenance Management Information System (MMIS), Project Management System (PMS) and Information Retrival System(IRS) etc. Also, LAMIS is a computerized tool that improves current supply and maintenance support program, that attempts to reliable requirment analysis of logistics support elements, and that supports to use the existing technical specification of similar one when weapon system acquisition project is started newly. When LAMIS implication is completed, it can be applied to logistics support of defense or commercial site. Straightway, LAMIS will be enhanced with computer - aided design system, engineering drawing system, interactive electronic technical manual system, electronic data interchange system, and three dimensional simulation system to weapon system configuration. When that is done, LAMIS is CALS system.

• The Journal of Industrial Distribution & Business
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• v.8 no.1
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• pp.15-22
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• 2017

Purpose - Retail companies are turning from one type of retailer to multiple business categories through various reasons, such as taking advantage of existed types of retailers' channel distribution, information and know-how, and entering into new types of retailers. However, there is few research conducted about multiple type of retailers. Research design, data, and methodology - In this research, the references, data and new stores on E-mart will be collected. The dissertation, annual report, statistical data, land-book of E-mart will be also collected to confirm whether E-mart has made any acquisition towards another company. Results - There is a tendency to new stores expansion, store enlargement and prolonging the opening preparation of new stores, based on the core of new stores expansion of E-mart as a general supermarket type of retailers. Based on general supermarket type of retailers, E-mart begins to diversify its retail company's type of retailers. Conclusions - As a general supermarket which is the most important type of retailers, E-mart is expanding into SSM type of retailers to seek new power of growth while slowdown growth is shown in general supermarket type of retailers. The expansion into SSM type of retailers would be a wise option as a retail company, E-mart is able to keep growing in the future.