• Journal of Korean Library and Information Science Society
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• v.35 no.1
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• pp.303-317
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• 2004

The purpose of this study was to develop a framework for predicting searching performance through an understanding of how cognitive ability relates to searching process and outcome. Specifically, this study examined the relationship between spatial visualization, logical reasoning, integrative reasoning, and information searching process and outcome. Information searching process was assessed by seven search process indicators: (1) search command selection: (2) combination of search commands; (3) application of Boolean logic: (4) application of truncation; (5) use of limit search function; (6) number of search statements; and (7) number of search errors made. Searching outcome was assessed by the number of correct answers to search questions. Subjects first took three standardized cognitive tests that measured cognitive abilities, and performed online catalog searching in response to seven information search questions. The searches were logged using Lotus ScreenCam, and reviewed for the analysis. Factor analysis was used to find underlying structures of the seven search process variables. Multiple regression analysis was applied to examine the predictive power of three cognitive variables on three extracted factors, and search outcome. Results of the data analysis showed that individual differences in logical reasoning could predict information searching process and outcome.

• Journal of Agricultural Extension & Community Development
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• v.16 no.2
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• pp.463-486
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• 2009

The purpose of this study was to find out the differences of preferences in e-Learning contents delivery types according to information searching retrieval ability in agricultural high school students. Contents delivery types are limited three kinds which are HTML type, video type, and text type and need to know about differences. The following summarizes the results of this study. On the preference of e-Learning contents delivery type on information searching retrieval ability had differences. High level group of information searching retrieval ability showed that they mostly preferred text contents delivery type. However, low level group of information searching retrieval ability showed that they preferred video contents delivery type. The results support our belief that there could be the differences in preferences in e-Learning delivery types with students' information searching retrieval abilities. We suggest that delivery types of e-Learning should be based on the students not on designers and developers.

• Proceedings of the KIEE Conference
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• 2006.04a
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• pp.111-113
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• 2006

DEAS is an direct searching and optimization method that based on the binary code space. It can be classified as an direct hill climbing searching. However, because of binary code space based searching, the searching in low resolution has random property. As the resolution of code increases during the search, its property of searching changes like that of hill climbing search. This paper propose a method for improving the performance of minimum seeking ability of DEAS with history information. The cost evaluation is increased. However the minimum searching ability of DEAS is improved along the same starting resolution.

• Journal of Information Management
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• v.27 no.2
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• pp.1-32
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• 1996

By the 1990s, Database Online Searching and CD-ROM Searching have been used universally in libraries. Due to their ease of use and facilitation, it is believed that such new media searching will produce more benefits than the usual printed materials. Furthermore, from the library management's point view, the new media searching's ability to minimize holding space will be another example of the advantage. The new media searching will have ever the printed materials. However, since it Is necessary to have an objective appraisal of the cost effectiveness in the implementation and the design of the new media system, it will be compared the new media searching with the conventional searching by using printed materials at the KIEP Library and Data Bank.

• Journal of the Korean Society for Library and Information Science
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• v.30 no.4
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• pp.39-60
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• 1996

A variety of searcher traits, characteristics, subject background and behaviors have been the subject of investigations exploring various hypotheses relating to searching performances. Previous studies have focused on searchers personal characteristics such as training, experience, subject knowledge, intelligence, cognitive style, attitude and searching style, Each of these factors is examined in this paper in order to find out searcher's personal characteristics affecting searching performance. Surprisingly, searching training and experience have not been found to influence searching performance. The hypothesis that intellectual ability correlates with the ability to online search seems to have little effect Various cognitive styles of searchers were tested to find out whether they relate to search results. Only FD/Fl cognitive style were found to be significant in relation to search results. Searchers showed a variety of attitudes about online searching. They revealed sensitivity toward searching charges. The attitude toward charges was reflected on the searching behavior. The sensitive searchers tend to conduct cost-effective searches, Searching styles of intermediaries were characterized as interactive and fast batch. It was found that experienced searchers prefer simple searches which do not explore the interactive capabilities of online system. In summary, previous studies have confirmed that there are apparently great individual differences among online searchers in searching behaviors as well as attitudes. But relationships between these individual differences and search performance were too weak to be significant.

• Journal of the Korean Society of Earth Science Education
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• v.5 no.1
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• pp.105-113
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• 2012

The purpose of this study was to examine the effects of storytelling skill on science learning motivation and space perception ability. For this study the 5 grade, 2 class was divided into a research group and a comparative group. The class was pre-tested in order to ensure the same standard. The research group had the science class with storytelling skill, and the comparative group had the class with teacher centered lectures for 10 classes in 10 weeks. The storytelling skill was focused on finding stories, constellation searching, story deciding, story hero deciding, story composition, storytelling completion. To prove the effects of this study, science learning motivation was split up according to attention power, relation, confidence, and sense of satisfaction. Also, space perception ability consisted of two-dimensional rotation, 3 dimension rotations, reflection, three-dimensional searching, number of block, and figure type in pattern. The results of this study are as follows. First, using storytelling skill was effective in science learning motivation. Second, using storytelling skill was effective in space perception ability. Also, after using storytelling skill was good reaction by students. As a result, the elementary science class with storytelling skill had the effects of developing science learning motivation and space perception ability. it means the science class with storytelling skill has potential possibilities and value to develop science learning motivation and space perception ability.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.50 no.11
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• pp.532-540
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• 2001

In this paper, we propose a probabilistic tabu search strategy for function optimization. It is composed of two procedures, one is Basic search procedure that plays a role in local search, and the other is Restarting procedure that enables to diversify search region. In basic search procedure, we use Belief space and Near region to create neighbors. Belief space is made of high-rank neighbors to effectively restrict searching space, so it can improve searching time and local or global searching capability. When a solution is converged in a local area, Restarting procedure works to search other regions. In this time, we use Probabilistic Tabu Strategy(PTS) to adjust parameters such as a reducing rate, initial searching region etc., which makes enhance the performance of searching ability in various problems. In order to show the usefulness of the proposed method, the PTS is applied to the minimization problems such as De Jong functions, Ackley function, and Griewank functions etc., the results are compared with those of GA or EP.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.4
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• pp.11-21
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• 2015

In order to achieve success in ground operations, searching for moving targets is one of critical factors. Usually, the system of searching for adversary ground moving targets has complex properties which includes target's moving characteristics, camouflage level, terrain, weather, available search time window, distance between target and searcher, moving speed, target's tactics, etc. The purpose of this paper is to present a practical quantitative method for effectively searching for infiltrated moving targets considering aforementioned complex properties. Based upon search theories, this paper consists of two parts. One is infiltration route analysis, through terrain and mobility analysis. The other is building dynamic probability maps through Monte Carlo simulation to determine the prioritized searching area for moving targets. This study primarily considers ground moving targets' moving pattern. These move by foot and because terrain has a great effect on the target's movement, they generally travel along a constrained path. With the ideas based on the terrain's effect, this study deliberately performed terrain and mobility analysis and built a constrained path. In addition, dynamic probability maps taking terrain condition and a target's moving speed into consideration is proposed. This analysis is considerably distinct from other existing studies using supposed transition probability for searching moving targets. A case study is performed to validate the effectiveness and usefulness of our methodology. Also, this study suggests that the proposed approach can be used for searching for infiltrated ground moving target within critical time window. The proposed method could be used not only to assist a searcher's mission planning, but also to support the tactical commander's timely decision making ability and ensure the operations' success.

• Proceedings of the Korea Contents Association Conference
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• 2005.05a
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• pp.263-267
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• 2005

Presentation is the most important factor in the usability of a web site. A poor layout makes a bad influence on the searching ability of the user by reducing search speed and causing mistakes. Recently many web sites visualize 3D information and there is plenty of research on it. Such a layout improves the usability of web pages and information awareness both in quantity and quality. This paper proposes design guides on 3D information browsing and has experiments on searching speed of the users for 2D and 3D displays of the same data and were analyzed.

• Journal of the Korean Society for Precision Engineering
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• v.20 no.11
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• pp.117-126
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• 2003

GA(genetic algorithm) has a powerful searching ability and is comparatively easy to use and to apply as well. By that reason, GA is in the spotlight these days as an optimization skill for mechanical systems.$^1$However, GA has a low efficiency caused by a huge amount of repetitive computation and an inefficiency that GA meanders near the optimum. It also can be shown a phenomenon such as genetic drifting which converges to a wrong solution.$^{8}$ These defects are the reasons why GA is not widdy applied to real world problems. However, the low efficiency problem and the meandering problem of GA can be overcomed by introducing parallel computation$^{7}$ and gray code$^4$, respectively. Standard GA(SGA)$^{9}$ works fine on small to medium scale problems. However, SGA done not work well for large-scale problems. Large-scale problems with more than 500-bit of sere's have never been tested and published in papers. In the result of using the SGA, the powerful searching ability of SGA doesn't have no effect on optimizing the problem that has 96 design valuables and 1536 bits of gene's length. So it converges to a solution which is not considered as a global optimum. Therefore, this study proposes ExpGA(experience GA) which is a new genetic algorithm made by applying a new probability parameter called by the experience value. Furthermore, this study finds the solution throughout the whole field searching, with applying ExpGA which is a optimization technique for the structure having genetic drifting by the standard GA and not making a optimization close to the best fitted value. In addition to them, this study also makes a research about the possibility of GA as a optimization technique of large-scale design variable problems.