• Journal of Intelligence and Information Systems
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• v.18 no.2
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• pp.1-17
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• 2012

The Smartphone, one of essential mobile devices widely used recently, can be very effectively applied to capture knowledge on the spot by jointly applying the pervasive functionality of cloud computing. The process of knowledge capturing can be also effectively automated if the topic of knowledge is automatically identified. Therefore, this paper suggests an interdisciplinary approach to automatically acquire knowledge on the spot by combining technologies of text mining-based topic identification and cloud computing-based Smartphone. The Smartphone is used not only as the recorder to record knowledge possessor's dialogue which plays the role of the knowledge source, but also as the sensor to collect knowledge possessor's context data which characterize specific situations surrounding him or her. The support vector machine, one of well-known outperforming text mining algorithms, is applied to extract the topic of knowledge. By relating the topic and context data, a business rule can be formulated, and by aggregating the rule, the topic, context data, and the dictated dialogue, a set of knowledge is automatically acquired.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.4
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• pp.51-57
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• 2013

Research on calibration of array antenna has become a hot spot in the area of signal processing and it is necessary to obtain the phase mismatch of each antenna channel. This paper presents a new calibration method for an array antenna system. In order to calibrate the phase mismatch of each antenna channel, we used primary synchronization signal (PSS) which exists in LTE downlink frame. Primary synchronization signal (PSS) is based on a Zadoff-Chu sequence which has a good correlation characteristic. By using correlation calculation, we can extract primary synchronization signal (PSS). After extracting primary synchronization signal (PSS), we use it to calibrate and reduce the phase errors of each antenna channel. In order to verify the new array antenna calibration algorithm which is proposed in this paper, we have simulated the proposed algorithm by using MATLAB. The array antenna system consists of two antenna elements. The phase mismatch of first antenna and second antenna is calculated accurately by proposed algorithm in the experiment test. Theory analysis and MATLAB simulation results are shown to verify the calibration algorithm.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.13 no.2
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• pp.141-151
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• 1995

In generating DTM as basic data to GIS, the use of existing map is difficult to aquire current data and the method using airphotos needs cost for stereoplotting and ground control surveying. So, the method of DTM generation by satellite imagery is promising because satellite is able to observe wide area at once. In this study the program for SPOT bundle adjustment and image matching based on Coarse to Fine method is developed and various image enhancement algorithm is used for more accurate DTM generation and also evaluation of accuracy was carried out. Further more, orthophoto, a bird's eye-view, contour map producing, net-work analysis and terrain analysis were performed for GIS applications using generated DTM in this study. Generated DTM using SPOT stereo imagery is useful for GIS applications such as automated mapping, facility management, national geographic information system. Moreover developed automatic DTM generation pro-gram is studied, tested and verified more to be applicable to all the area.

• Journal of the Korea Society of Computer and Information
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• v.10 no.4 s.36
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• pp.57-63
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• 2005

An accurate system modeling in the underground water analysis requires many accurate parameters on the spot, which have a huge volume, because it may be generated more inaccurate products than to use mathematical analytical solution in a case that a degree of permeation, undercurrent coefficients, boundary conditions, and so on, are inadequately estimated. Recently, handling these parameters easily has been an active area of research. In this paper, we propose a new method which handles these parameters easily and accurately for a system model management using a well-known MODFLOW model. Also, we incorporate this method into ArcView functions. Results of the proposed system incorporated into ArcView are displayed visually.

• Korean Journal of Geomatics
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• v.3 no.1
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• pp.15-22
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• 2003

This study aims to construct a management system of road position information as part of the build-up to a maintenance and management system of highways. First, information on the positions of the roads were obtained by a real-time kinematic satellite surveying, and then the degree of accuracy was analyzed in comparison with the data of the existing design drawings. The linear coordinates of road center line obtained by using RTK GPS showed about 7.6-13.2cm errors in X and Y directions in the case of the national road No.2 section, and about 8.4-9.2cm errors in the case of local road No.1045 section. These errors were within the tolerance scope regulated by the TS survey, and could be practically used. In the case of vertical alignment, there were about 6.2cm errors in the Z direction in local road No.1045 section. Aerial photographs are normally used in producing numerical maps, and it can be practically used because the tolerance scope of the elevation control point is l0cm when the scale of aerial photographs is 1/1000. The management system of road position information, utilizing Object-Oriented Programming(OOP), was built having the data acquired in this way as the attribute data. The system developed in this way can enable us to spot the positions of road facilities, the target of management with ease, to easily update the data in case of changes in the positions of roads and road facilities, and to manage the positions of roads and road facilities more effectively.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.6
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• pp.1207-1213
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• 2007

This paper has researched water supply facilities management using real-time water utility monitoring system based on USN(Ubiquitous Sensor Network) which is consisted of wireless sensors transferring waterworks facilities md treatment information about a valve-room and flowmeter-room of water supply installation. In the manholes, it was installed with flowmeter, pressure sensors, vibration sensors, Co-sensors, and hydro-thermograph sensors. These measurement values which are received by PDA are used for facilities operation on the spot safely and conveniently. It has also provided safe installation management via CDMA(Code Division Multiple Access) network which transfers data to remote servers to monitoring at a distance place. With safety management system of water supply facilities on USN technology convenience and safety is increased in real situation, and it is expected that we can supply clean water to people as much safer and more effective water supply installation management.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1997.10a
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• pp.105-108
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• 1997

Previous studies in stock market predictions using artificial intelligence techniques such as artificial neural networks and case-based reasoning, have focused mainly on spot market prediction. Korea launched trading in index futures market (KOSPI 200) on May 3, 1996, then more people became attracted to this market. Thus, this research intends to predict the daily up/down fluctuant direction of the price for KOSPI 200 index futures to meet this recent surge of interest. The forecasting methodologies employed in this research are the integration of genetic algorithm and artificial neural network (GAANN) and the integration of genetic algorithm and case-based reasoning (GACBR). Genetic algorithm was mainly used to select relevant input variables. This study adopts the categorical data preprocessing based on expert's knowledge as well as traditional data preprocessing. The experimental results of each forecasting method with each data preprocessing method are compared and statistically tested. Artificial neural network and case-based reasoning methods with best performance are integrated. Out-of-the Model Integration and In-Model Integration are presented as the integration methodology. The research outcomes are as follows; First, genetic algorithms are useful and effective method to select input variables for Al techniques. Second, the results of the experiment with categorical data preprocessing significantly outperform that with traditional data preprocessing in forecasting up/down fluctuant direction of index futures price. Third, the integration of genetic algorithm and case-based reasoning (GACBR) outperforms the integration of genetic algorithm and artificial neural network (GAANN). Forth, the integration of genetic algorithm, case-based reasoning and artificial neural network (GAANN-GACBR, GACBRNN and GANNCBR) provide worse results than GACBR.

• Korean Journal of Poultry Science
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• v.23 no.4
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• pp.209-219
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• 1996

This research was carried out to get the basic information on the current situation of personal computer utilization for poultry farm management, and the results obtained could be used in developing of the software system for the poultry farm management. Survey method by interview and mail was adopted to carry out the research, and the total number of data used to statistical analyses was k6 poultry farmers. 1. The ratio of the poultry farmers who had the personal computer(P/C) was about 25%, and the most of the layer farmers from age 30 to 40 who manage the flock size 20,000 or above had the P/C. 2. About 70% of the farmers who had P/C have bought the system after 1993, and 83% of those farmers had the P/C-486 or above level system. They bought the P/C with intent to apply it to farm management(39%) and education for children(31%). 3. About 50% of the farmers who had P/C obtained the relevant knowledge for operating computer system by themselves, and the 33% of the P/C-possessed farmers used P/C for word-processor. 4. About 35% of the farmers who had P/C applied their system to analyse the management analyses, and the sarne ratio of the farmers answered that they didn't apply the system to their farm management. 5. About 25% of the farmers who had P/C used package software, and the company which installed the automated cage system offered the software. 6. Most of the farmers considered the computerization of the farm management positively, and they answered that they will apply P/C to their management actively from now on. 7. About 56% of the farmers didn't think that they had sufficient knowledge for operating computer system, and a quarter of them pointed that the difficulty of the buying software for poultry farm management was the most biggest problem to spread out the computerization in the poultry farm. 8. Most of the poultry farmers didn't buy P/C because they didn't have the relevant knowledge for computer system, but they wanted to learn basic knowledge for computer, and they had the intention to apply computer to their management positively. In order to expand the computerization for poultry farm management, appropriate education system for the farmers from age 30 to 40 who manage the flock size 20,000 or above and the development of the software that could be applied to poultry farm management on the spot efficiently should be made.

• The Korean Journal of Financial Management
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• v.17 no.2
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• pp.175-209
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• 2000

본 연구는 프로그램매매가 주가지수 선물시장 및 현물 주식시장의 수익률 변동성에 미치는 효과에 대해서 일중 수익률 및 프로그램매매자료를 이용하여 분석을 시도하였다. 실증분석을 통해서 관찰된 결과를 살펴보면 대부분 선진국 시장에서 보고된 결과와 일치하였다. 우선 프로그램매매가 증가할수록 현물 주식시장에서의 변동성은 증대하는 것으로 나타났으나 선물시장에서는 그러한 일관성 있는 관계를 발견하지 못하였다. 프로그램매매 발동 직후 선물 및 현물시장의 수익률은 반전현상을 나타냈으며 특히 현물시장의 가격변화가 선물시장에 비해서 큰 것으로 관찰되었다. 그러나 이러한 선물시장과 현물시장에 있어서의 가격반전 현상이 시장 유동성에 미치는 경제적 영향은 선물만기일과 같이 특정시간대에 프로그램매매가 집중되지 않는 한 경미한 것으로 판단되었다. 프로그램매매 특히 차익거래는 선물 가격과 현물 가격간의 균형 관계가 일시적인 수급상황에 따라 이발될 경우 이를 다시 균형 상태로 회복시켜 줌으로써 시장의 효율성을 증대시키는 주요한 연결통로로서의 역할을 수행한다. 특히 두 시장간의 균형 상태는 선물 시장보다는 현물 주식시장에서의 활발한 매매 활동을 통하여 이루어짐을 알 수 있었다. 결론적으로 국내시장에서 차익거래는 시장의 위험을 증대시키는 부정적인 측면보다는 시장의 효율성을 증진시키는 긍정적인 순기능이 많은 것으로 관찰되었다.

• Journal of Korean Society for Geospatial Information Science
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• v.13 no.1 s.31
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• pp.71-80
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• 2005

Recently, water quality problems are emerging as important social issues since water quality in rivers and lakes are significantly deteriorated. Thus, an accurate prediction system on reservoir water quality is required, as well as an integrated system which can provide a solution for taking away contaminated materials. This research aims to develop an intelligent decision support system, which uses a GIS enabling management and spatial analysis. The developed system is a prototype that can be applied into real spot. This research area includes the following main subjects; system analysis and design, geometry data collection and database implementation, data acquisition and analysis on reservoir water quality, interface design and development GIS, and development of an expert system for water quality forecasting by WASPS.