• Journal of the Korean BIBLIA Society for library and Information Science
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• v.8 no.1
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• pp.197-227
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• 1997

The main purpose of this study is ① to settle and to analyze the classification of the Internet Search Engine comparitively, and ② to build the compatible model of Internet Search Engine classification in order to seek information on the Internet resources. specially in the branch of the Computers and Internet areas. For this study, four Internet Search Engine (Excite, 1-Detect, Simmany, Yahoo Korea!), Inspec Classification and two distionaries were used. The major findings and result of analysis are summarized as follows : 1. The basis of the classification is the scope of topics, the system logic, the clearness, the efficiency. 2. The scope of topics is analyzed comparitively by the number of items from each Search Engine. In the result, Excite is the most superior of the four 3. The system logic is analyzed comparitively by the casuality balance and consistency of the items from each Search Engine. In the result, Excite is the most superior of the four 4. The clearness is analyzed comparitively by the clearness and accuracy of items, the recognition of the searchers. In the result, Excite is the most superior of the four. 5 The efficiency is analyzed comparitively by the exactness of indexing and decreasing the effort of the searchers. In the result, Yahoo Korea！ is the most superior of the four. 6 The compatible model of Internet Search Engine classification is estavlished to uplift the scope of topics, the system logic, the clearness, and the efficiency. The model divides the area mainly based upon the topics and resources using‘bookmark’and‘shadow’concept.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.3
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• pp.1458-1464
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• 2011

This study is on the application of TOPMODEL-topographic based hydrologic model-to the runoff analysis, The test area was the ssang-chi watershed which is mountainous catchment located in the upstream of the sumjin-gang basin and the watershed area is $126.7km^2$. The six's hourly runoff and precipitation data was selected in the 2006 ~ 2009 year. And the model parameters are calibrated using observed runoff data by Pattern Search method. The topographic index of the ssang-chi catchment was produced by digital elevation model(DEM) of 100m grid. As a results of the analysis, the parameters of model, a decay facter(m), transmissivity(T0), and the unsaturated zone delay(TD) are sensible to hydrologic response, and the simulated runoff data are in good agreement with observed runoff data.

• Korean Institute of Interior Design Journal
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• v.23 no.3
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• pp.117-124
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• 2014

This study has inferred the mechanism of psychological observation activities through comparison analysis of the observation data acquired from eye-tracking and their post-estimation. The results of their analysis can be summarized as the followings. First, even though the frame of analysis has been set up so that there might not be any change to the number of the sections even with any change of consecutive observation times, the fact that the time by area decreases along with the change of consecutive observation from three times to six and nine times means that the time spent on "recognition" of space information reduces in the course that the feature of observing for space information switches from "perception to recognition". Second, the subjects moves their eyes incessantly in order to acquire space information while observing the space, when it was confirmed that there was a difference between "the space which the subjects searched for information by means of observation activities" and "that which they thought they observed that remaining in their consciousness". The appreciation of this kind of difference is very significant for the analysis of observation features. Third, the short observation (0.1 second, three times of consecutive observations) is consistent with "Ares I, intensively searched = that marked as having been observed consciously" by 60%, while the long-time observation (0.3 second, 9 times of consecutive observations) had 56%, which was relatively high, of "Area I, searched intensively ${\neq}$ that marked as having been observed consciously", which means that the observation feature seen at the activities of "consciousness : unconsciousness" and "observation : search" had some change in the course of changing from "perception to recognition".

• Korean Institute of Interior Design Journal
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• v.19 no.6
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• pp.197-205
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• 2010

For the spatial experience of spectators visiting a museum, the route search of trying to follow the spatial structure or production of exhibition and the information search of trying to see are accomplished at the same time. In such process, the spectator's reaction of visual perception produces the result of emotional reaction and action exchanged between human and space by going through the recognition and perception on the target of environment factor. For the spatial experience of a spectator, the reaction of visual perception which interacts according to the exhibit and exhibition environment within space according to viewing purpose, interest and concern of spectator comes out as visual activity which is an activity to understand the spatial information shown as various activities according to spatial structure and unfolding characteristics of the display. The purpose of this study is to identify The Correlation of Spectator Movement Created According to Structural Form of Exhibition Area Based on Interaction between Exhibition Area Structure and Spectator to utilize as basic material while designing museum exhibition using isovist field which is a quantitative analysis tool of spectator's visual behavior and spatial structure at each exhibition area.

• Communications for Statistical Applications and Methods
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• v.22 no.6
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• pp.543-556
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• 2015

We present a survey of contributions that defined the nature and extent of robust statistics for the last 50 years. From the pioneering work of Tukey, Huber, and Hampel that focused on robust location parameter estimation, we presented various generalizations of these estimation procedures that cover a wide variety of models and data analysis methods. Among these extensions, we present linear models, clustered and dependent observations, times series data, binary and discrete data, models for spatial data, nonparametric methods, and forward search methods for outliers. We also present the current interest in robust statistics and conclude with suggestions on the possible future direction of this area for statistical science.

• International Commerce and Information Review
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• v.11 no.1
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• pp.407-440
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• 2009

I wish to examine plan about megalopolis formation with Japan and Busan, possess location condition that can be injured to center hub of North-east Asia. First for this, through competitive analysis of Korea and Japan in industrial structure, I will search competition relation. Second, examine what exports and specialization industry of two area are, through industrial structure of Busan and Kyushu area of Japan. Third, to form megalopolis, wish to present what business belt that can bind two area. Fourth, I wish to present preview point about this study in the conclusion. Examine from 2004 to 2007 through exports, degree of trade join(combination), index of trade specialization degree, index of Revealed comparative advantage, and etc, for analysis of this study how in changed industry competitive between two countries or two area have changed.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.2
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• pp.175-194
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• 2006

A common user interface system, a subset of library portal software products was evaluated in terms of eight broader categories; searching, user interaction; customization; authentication; design; database communication protocols; after sale support; and software platforms supported. As a result, Muse search ENCompass, MetaLib were the three highest scoring common user interface software products. and KDB metasearch in domestic area was the highest scoring products.

• Korean Journal of Remote Sensing
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• v.18 no.5
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• pp.291-297
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• 2002

Optimal allocation of viewers on a terrain in such a wav that the hidden area would be minimized has many practical applications. However, it is impossible in practical sense to evaluate all the possible allocations. In this paper, we propose an optimal allocation of viewers based on genetic algorithm that enables probabilistic search of huge solution space. An experiment for one and three viewers was performed. The algorithm converges to good solutions. Especially, in one viewer case, the algorithm found the best solution.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.1
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• pp.37-43
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• 2022

Drones, one of the 4th industrial technologies that are expanding from military use to industrial use, are being actively used in the search missions of the National Police Agency and finding missing persons, thereby reducing interest in a wide area and the input of large-scale search personnel. However, legal review of police drone operation is continuously required, and the importance of advanced system for related operations and analysis of captured images in connection with search techniques is increasing at the same time. In this study, in order to facilitate recording, preservation, and monitoring in the concept of precise search and monitoring, it is possible to achieve high efficiency and secure golden time when precise search is performed by constructing spatial information based on photo rather than image data-based search. Therefore, we intend to propose a spatial information construction technique that reduces the resulting data volume by adjusting the unnecessary spatial information completion rate according to the size of the subject. Through this, the scope of use of drone search missions for large-scale areas is advanced and it is intended to be used as basic data for building a drone operation manual for police searches.

• Journal of the Korea Society of Computer and Information
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• v.19 no.6
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• pp.11-17
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• 2014

While safe and convenient, ultrasound imaging analysis is often criticized by its subjective decision making nature by field experts in analyzing musculoskeletal system. In this paper, we propose a new automatic method to extract muscle area using ART2 neural network based quantization. A series of image processing algorithms such as histogram smoothing and End-in search stretching are applied in pre-processing phase to remove noises effectively. Muscle areas are extracted by considering various morphological features and corresponding analysis. In experiment, our ART2 based Quantization is verified as more effective than other general quantization methods.