• Journal of Korea Society of Industrial Information Systems
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• v.3 no.1
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• pp.117-139
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• 1998

This study is intended to identify the factors affecting the successful information warehouse (IW) implementation through the technology acceptance model. As the IW has played an important role with the organizations, it has become a strategic management tool. However, because the building of an IWS requires a great amound of financing and a multi-period, managers should consider identifying the variables as a predictor of IWS success. The related research areas, such as TAM , TRA, and innovation diffusion theory, and previous research associated with the EWS success factors are reviewed in this paper. Based on the hypotheses presented , the study will empirically test the relationships between six external variable-user involvement, computer self-efficacy, OLAP characteristics, problem difficulty , user training and top management support-and system utilization via user's perceptions of ease of use, unusefulness. This study semmes to be a first attempt in this research area, and its results will provide general guidclines for IWS project managers to enhancement the like hood of system succes.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2004.11a
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• pp.203-210
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• 2004

Due to the explosion of e-commerce, recommender systems are rapidly becoming a core tool to accelerate cross-selling and strengthen customer loyalty. There are two prevalent approaches for building recommender systems - content-based recommending and collaborative filtering. Collaborative filtering recommender systems have been very successful in both information filtering domains and e-commerce domains, and many researchers have presented variations of collaborative filtering to increase its performance. However, the current research on recommendation has paid little attention to the use of time related data in the recommendation process. Up to now there has not been any study on collaborative filtering to reflect changes in user interest. This paper proposes dynamic fuzzy clustering algorithm and apply it to collaborative filtering algorithm for dynamic recommendations. The proposed methodology detects changes in customer behavior using the customer data at different periods of time and improves the performance of recommendations using information on changes. The results of the evaluation experiment show the proposed model's improvement in making recommendations.

• Journal of Information Management
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• v.32 no.3_4
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• pp.123-145
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• 2001

The purpose of this study is to develop technology valuation system for technology transfer, which is using and supporting knowledge information. The valuation system comprises estimation of latent business profit by supporting formatted patent and technology-products market information, analysis of contribution profit by using industrial standard and innovation step and value of technology by using a real option equation. This study suggests a successful system in order to valuate the technologies quantitatively, and to use and support knowledge information from KISTI databases or other selected internet Information.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.743-744
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• 2016

Object tracking in video sequences is a challenging task and has various applications. Particle filtering has been proven very successful for non-Gaussian and non-linear estimation problems. In this study, we first try to develop a color-based particle filter. In this approach, the color distributions of video frames are integrated into particle filtering. Color distributions are applied because of their robustness and computational efficiency. The model of the particle filter is defined by the color information of the tracked object. The model is compared with the current hypotheses of the particle filter using the Bhattacharyya coefficient. The proposed tracking method directly incorporates the scale and motion changes of the objects. Experimental results have been presented to show the effectiveness of our proposed system.

• Journal of the Korean Data and Information Science Society
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• v.22 no.2
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• pp.323-333
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• 2011

Recently, Electronic Data Interchange (EDI) systems are widely used. Many organizations exchange the documents by using EDI, and EDI is used in various industries such as physical distribution, export and import business, custom, and medical care. However, there have been little attempt to empirically investigate the success factors of EDI system. In this paper, we identify the influencing factors which determine the success of typical information system and then suggest the additional factors characterized to the EDI system. Our research model, mainly based on the system success model, is tested by analyzing the empirical data acquired from the companies in the medical industry. As a result, the system quality, information quality, service quality, and the perceived sacrifice turned out to be significant to the success of EDI system while data security does not. The result of this research is likely to help providing useful guidelines for the successful EDI implementations.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2007.05a
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• pp.375-381
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• 2007

Cognitive map (CM) has long been used as an effective way of constructing the human thinking process. In literature regarding CM, a number of successful researches were reported, where CM based what-if analysis could enhance firm's performance. However, there exit very few researches investigating the CM generation method. Therefore this study proposes a GENCOM (Genetic Algorithm based Cognitive Map Generator). In this model combined with CM and GA, GA will find the optimal weight and input vector so that the CM generation. To empirically prove the effectiveness of GENCOM, we collected valid questionnaires from expert in S/W sales cases. Empirical results showed that GENCOM could contribute to effective CM simulation and very useful method to extracting the tacit knowledge of sales experts.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.10
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• pp.2301-2308
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• 2013

These days, Rehabilitation psychology analysis system is being used by world wide web in everyday's life. And on the other hand, we are facing spam messages' problems. To block these spam message, we are using filtering or pricing systems. But these solutions are raising other problems such as impediment in reception or availability caused by false positive or payment resistance. To solve these problems, we propose an Indirect Model on Message Control System(IMMCS) which controls an unsolicited message and prevents an useful message from discarding. We design and implement the IMMCS to enhance the usefulness and the availability. Being tested the IMMCS to verify the usability and the efficiency, it gave us a very successful result.

• Atmosphere
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• v.23 no.3
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• pp.275-282
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• 2013

In this study, the numerical model was developed to evaluate the observational environment of sunshine duration and, for evaluating the accuracy and utility of the model, it was verified against the observational data measured at Dae-gu Automated Synoptic Observing System (ASOS) located in an urban area. Three-dimensional topography and building configuration as the surface input data of the model were constructed using a Geographic Information System (GIS) data. First, the accuracy of the computing planetary positions suggested by Paul Schlyter was verified against the data provided by Korea Astronomy and Space Science Institute (KASI) and the results showed that the numerical model predicted the Sun's position (the solar azimuth and altitude angles) quite precisely. Then, this model was applied to reproduce the sunshine duration at the Dae-gu ASOS. The observed and calculated sunshine durations were similar to each other. However, the observed and calculated sunrise (sunset) times were delayed (curtailed), compared to those provided by KASI that considered just the ASOS's position information such as latitude, longitude, and elevation height but did not consider the building and topography information. Further investigation showed that this was caused by not only the topographic characteristic (higher in the east and lower in the west) but also the buildings located in the southeast near the sunrise and the southwest near the sunset. It was found that higher building resolution increased the accuracy of the model. It was concluded that, for the accurate evaluation of the sunshine duration, detailed building and topography information around the observing sites was required and the numerical model developed in this study was successful to predict and/or the sunshine duration of the ASOS located in an urban area.

• Korean Management Science Review
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• v.19 no.2
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• pp.25-39
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• 2002

This study suggests a revised TAM (Technology Acceptance Model)-based performance evaluation model in MS (management science) education. Recently, many MS education programs are developed on the basis of computer and Internet communication technology. Previous researchers used TAM as an individual performance evaluation model, and proved that perceived usefulness and perceived ease of use are the substantive successful factors. This study provides a revised TAM-based conceptual framework for understanding what is involved in improving university MS education and what might be implied by conducting research on its improvement. It is argued in this research that three sets of forces and conditions have a direct and indirect impact on MS education ; first, each student has self efficacy and it is a critical determinant of behavior next, the use of Internet-based information system at MS education affects on the renewal of MS education : and finally, perceived usefulness and perceived ease of use have impacts on behavioral intention and actual system usage. This research concludes with suggestions for which direction this framework provides for future research on the premise and limits of efforts to renew MS education in university.

• Information Systems Review
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• v.12 no.2
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• pp.167-187
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• 2010

The governmental R&D projects have put a great emphasis on returns on R&D investment through development of market- and customer-oriented technologies and their commercialization. A successful commercialization of the technology developed from a R&D project relies on development of the technology intriguing customers, establishment of effective commercialization strategies throughout the stages of R&D planning and development, and interactive communication between the technology developer and a private company that will do a business with the technology. The business modeling helps accomplish the requirements for the successful commercialization. The past literature about technology commercialization does not provide a systematic procedure in developing a business model for the governmental R&D project. In this study, we proposed a systematic procedure developing a business model integrating peculiar characteristics of governmental R&D and viewpoints of technology developers and professionals of technology commercialization. It can be a useful guideline for developing a business model for the governmental R&D project.