• Communications for Statistical Applications and Methods
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• v.8 no.2
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• pp.543-556
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• 2001

This study suggests integrated neural network modes for he stock price index forecasting using change-point detection. The basic concept of this proposed model is to obtain significant intervals occurred by change points, identify them as change-point groups, and reflect them in stock price index forecasting. The model is composed of three phases. The first phase is to detect successive structural changes in stock price index dataset. The second phase is to forecast change-point group with various data mining classifiers. The final phase is to forecast the stock price index with backpropagation neural networks. The proposed model is applied to the stock price index forecasting. This study then examines the predictability of integrated neural network models and compares the performance of data mining classifiers.

• Proceedings of the KOSOMBE Conference
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• v.1997 no.05
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• pp.263-266
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• 1997

The purpose of this paper is the development of Integrated Bio-signal Management System. (IBMS) using the network. IBMS is the system to manage the medical signals that measured from the each independent medical measurement system module. Each has a LAN Card. We developed the Network Application using Socket Library. Also, we developed the Graphic User Interface software for IBMS using Visual C++ on Windows 95.

• Journal of Institute of Control, Robotics and Systems
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• v.4 no.4
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• pp.433-440
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• 1998

The purpose of this study is to provide an integrated process control system for plasma etching. The control system is designed to employ neural network for the modeling of plasma etching process and to utilize genetic algorithm to search for the appropriate selection of control input variables, and to provide a control chart to maintain the process output within a desired range in the real plasma etching process. The target equipment is the one operating in DRAM production lines. The result shows that the integrated system developed is practical value in the improved performance of plasma etching process.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.14 no.4
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• pp.360-368
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• 1989

In this paper, the performance of an integrated voice/data cut-through switching network is studied. We first derive cut-through probabilities of voice and data packets at intermediate nodes. Then, the Laplace transform for the network delay is obtained. According to numerical results, the performance of cut-through switching is superior to that of packet switching for integrated voice/data networks.

• 한국디지털정책학회:학술대회논문집
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• 2005.11a
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• pp.299-311
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• 2005

This article introduces developing trends of an "Ubiquitous Interface" as an access method for use of various network resources, such as public wireless networks and un-licensed wireless networks in ubiquitous sensor network environments, without troublesome settings or operations by users. "Ubiquitous Interface" is include a relatively wide sense meaning not only physical interface of specified device or between processors, but anything method for access USN. These "Ubiquitous Interface" able to provide seamless services that adapt autonomously to the user's movements and changes in the state of wireless resources. Recently, strongly recommended candidates are RFID, NFC, Multi-mode mobile terminal, Wearable computer and OSGi for integrated digital home networking system as a future ubiquitous interface. These candidates are have to have flexibility and multiple physical communication channel for seamless service hand over and serve easy connection at huge USN to user. And, must have flexible software structure and multi-functional middleware. Consequently, for more enhance performance of an ubiquitous interface and developing, need more structured and integrated future plan.

• Spatial Information Research
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• v.3 no.1
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• pp.55-63
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• 1995

The database design, which logically sets the base structure and orga¬nization of the database, is performed by considering the users requirement, the relations between various data, and the relations between data and application field.The road network data must be created to have geometrical topological structure, because various data elements are needed to recognize the state of each section and to relate between data element. In this study, we propose a method of creating the road network database for an integrated road management system.

• Proceedings of the KOSOMBE Conference
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• v.1996 no.05
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• pp.151-153
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• 1996

The purpose of this paper is the development of Integrated Bio-signal Management System(IBMS) using the network. IBMS is the system to manage the medical signals that measured from the each independent medical measurement system module. Each has a LAN. We developed the file-server network using Novell Netware. Also, we developed the Graphic User Interface software for IBMS using Visual C++ at Windows 3.1.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.6
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• pp.44-53
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• 2013

Ongoing SWIM(System Wide Information Management) with the United States and European countries as the center is a part of the ASBU(Aviation System Block Upgrade) program improved performance of aeronautical data system in the International Civil Aviation Organization and a core technology of Integrated Aeronautical Data Management Network to elevate service through digitally aeronautical information management. Therefore, in this paper, we analyze SWIM architecture and network applied the concept of SOA(Service Oriented Architecture), and propose methods of implementation transforming applications operating established legacy aeronautical data system into integrated aeronautical data management network through adapter technology. This will allow development of middleware and application suitable for the next generation infrastructure network environment for efficient ATM(Air Traffic Management)and provide timely required information for users.

• 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.

• The Journal of the Korea institute of electronic communication sciences
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• v.5 no.4
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• pp.425-434
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• 2010

This study shows a limit to attacks that the prevention system, which is used as the mutual third aggressive packet path between open heterogeneous networks and applies prevention techniques according to the trace like IP tracking and attack methods, can prevent. Therefore, the study aims to learn information of constant attack routing protocol and of the path in network, the target of attack and build a database by encapsulating networks information routing protocol operates in order to prevent source attack paths. In addition, the study is conducted to divide network routing protocols developed from the process of dividing the various attack characters and prevent various attacks. This study is meaningful in that it analyzes attack path network and attacks of each routing protocol and secure exact mechanism for prevention by means of 3D-Puzzle, Path, and Cube of the integrated security system which is an implementation method of integrated information protection for access network defense.