• 한국신재생에너지학회:학술대회논문집
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• 2006.11a
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• pp.149-152
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• 2006

New and renewable energy information becomes one of the greatest issues because of serious environment problems and limited fossil resources However, There are few system to manage and utilize new and renewable energy information efficient. Therefore this study establish the GIS based Resource Map System to save and analyze new and renewable energy Informal ion about solar energy, wind power, small hydro, biomass, and geothermal. This Resource Map System is composed of the management system, practical system, field system and Web-service system. This System can Provide var ious spatial analysis tools such as data searching, treating thematic maps, evaluating location requirements for energy facilities.

• Asia pacific journal of information systems
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• v.15 no.4
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• pp.89-107
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• 2005

As new information technology(IT) adoption continues to produce many investment opportunities, imperfectly informed IT managers keep trying to acquire credible external signals to update their knowledge on new technologies. Such learning processes usually help them to reach better IT adoption decisions. In some cases, however, the opposite of the goal is achieved. Most IT managers quickly converge to the same adoption decision independent of their private information. Interestingly, such information cascade is the outcome of each individual decision maker's rational choice. A technology acceptance model(TAM) is adopted that has been widely used to predict the end-user's acceptance of a new technology. A model with individual charact-eristics and information cascade variables is constructed to explain user's intention in adopting blogging. The model is empirically tested with surveyed data. The results show that individual characteristics and information cascades have significant impacts in the case of blogging.

• Journal of Fashion Business
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• v.2 no.4
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• pp.28-39
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• 1998

The purpose of this study was to demonstrate the information sources according to the benefit segmentations of New kids' jeans wearing. The subject consisted of 392 adolescents in Seoul and Honsung area. For analysis of data, confirming factor analysis, correlations, stepwise regression analysis were applied. The results were as follow ; 1. The benefit segmentation dimensions of New kids' jeans wearing were brand royalty, personality, fashionality, and utility pursuit. 2. According to the correlations between the benefit segmentation and the information sources, brand royalty was positive correlation with all information sources. Similary, both personality and fashionality were positive correlation with market initiated and neutral information. The other hand. only utility was negative correlation with neutral information. 3. In influences of the information sources according to the benefit segmentations, market initiated information is high valued in personality, fashionality, utility, and brand royalty. Neutral information is high valued in fashionality.

• Journal of the Korean Society for Library and Information Science
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• v.33 no.3
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• pp.127-144
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• 1999

The purpose of this study is to develop information use curriculum for information literacy development of students. School education in information society needs the development of students' information capabilities, and the curriculum of Information use for it. As the speed that the knowledge learned in schools became useless, has been accelerated, the importance of ability to manage new information and knowledge has risen Information capability means capabilities to access, analyze, apply and evaluate information through various kinds of Information media such as printed information, audiovisual information, electronic communication information. experiences information. The information use curriculum is to develop information capabilities to inquiry new information with his own established knowledge, settle ali information tasks and create new information.

• Journal of Information Technology Applications and Management
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• v.26 no.3
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• pp.1-18
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• 2019

As technology rapidly develops, the demand for manpower by new industries is increasing. In order to respond to the changing demands of the workforce, universities are actively introducing interdisciplinary majors, which is a program formed by two or more departments cooperating to develop new majors. Although the importance of the interdisciplinary major is increasing, universities have difficulties managing them due to non-flexible educational systems. The purpose of this study is to present an effective management direction for interdisciplinary majors based on the results of a survey on student satisfaction with interdisciplinary majors. Also, we analyzed the required level and possessed level of the IS practitioners' competencies, and developed specific educational directions for training IS talents. The results showed that there was a significant difference in satisfaction with the curriculum development and curriculum evaluation of existing subjects provided by existing departments and new subjects established of interdisciplinary majors, specifically the satisfaction of new subjects is higher than existing subjects. In the IS field, there was a high demand for education in the following areas, in order: information security, information technology strategy planning, information technology operation, information technology development, information technology management, information technology sales, and core competencies. Based on the results of the analysis, the satisfaction of students and the cultivation of the talents that the interdisciplinary major aims to develop can be improved.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.11
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• pp.5344-5356
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• 2018

Nowadays with the help of Location-Based Social Networks (LBSNs), users of Point-of-Interest (POI) recommendation service in LBSNs are able to publish their geo-tagged information and physical locations in the form of sign-ups and share their experiences with friends on POI, which can help users to explore new areas and discover new points-of-interest, and promote advertisers to push mobile ads to target users. POI recommendation service in LBSNs is attracting more and more attention from all over the world. Due to the sparsity of users' activity history data set and the aggregation characteristics of sign-in area, conventional recommendation algorithms usually suffer from low accuracy. To address this problem, this paper proposes a new recommendation algorithm based on a novel Preference-Content-Region Model (PCRM). In this new algorithm, three kinds of information, that is, user's preferences, content of the Point-of-Interest and region of the user's activity are considered, helping users obtain ideal recommendation service everywhere. We demonstrate that our algorithm is more effective than existing algorithms through extensive experiments based on an open Eventbrite data set.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.2090-2092
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• 2003

Adaptive algorithms are widely used for various applications. One challenging application is an echo canceller in the long distance telephony network. This paper proposes the new variable step-size algorithm for adaptive lattice structure for echo cancellation. The new algorithm is using power of the output signal and the error signal to controlled the step of adaptation process. By this technique, the proposed algorithm is an excellent and effective in good stability. Performance comparison of the proposed algorithm and the other algorithm is made through simulation results.

• Management & Information Systems Review
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• v.8
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• pp.1-23
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• 2002

Technical innovation is very important in the small and medium enterprises. All successful innovation stars from a creative ideas, it be a new application for a technology, the satisfaction of a new identified need or of an old need in a new way, or the manufacture of a product by a different method. The purpose of this study is to investigate into the implementation effect of IMS(information management system) for information in small and medium enterprises. This research analysis was done as to small and medium enterprises of 24. The Results for this research analysis was as follows. First, the satisfaction scored 4.10 in information level up of the small and medium enterprises. Second, increased effect productivity scored 3.37 in samples of 17. Thrid, increased management efficiency productivity scored 3.14 in samples of 17.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2004.05a
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• pp.20-23
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• 2004

In non-selective frequency environment, it is difficult to take the advantage of path diversity. In the literature, some methods have been proposed to solve the issue. This paper presents a new method to obtain the resolvable path in Indoor Multi-carrier Code Division Multiple Access (MC-CDMA) system by using downlink beam forming. With the aid of downlink beamforming, the most reliable path is found and chosen for the communication link. The new approach is evaluated in term of bit error rate (BER) and power consumption. The simulation results show that the new approach can get better BER performance. However, the cost of BER improvement is a small degradation in power reservation.

• Journal of KIISE:Software and Applications
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• v.37 no.9
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• pp.659-668
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• 2010

Collaborative filtering systems grasp behaviors for a new user and need new information for the user in order to recommend interesting items to the user. For the purpose of acquiring the information the collaborative filtering systems learn behaviors for users based on the previous data and can obtain new information from the results. In this paper, we propose an inductive inference method to obtain new information for users and rank items by using the new information in the proposed method. The proposed method clusters users into groups by learning users through NMF among inductive machine learning methods and selects the group features from the groups by using chi-square. Then, the method classifies a new user into a group by using the bayesian probability model as one of inductive inference methods based on the rating values for the new user and the features of groups. Finally, the method decides the ranks of items by applying the Rocchio algorithm to items with the missing values.