• Annual Conference of KIPS
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• 2019.05a
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• pp.267-269
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• 2019

There are many recommendation systems offer an effort to get better preciseness the information to the users. In order to further improve more accuracy, the social network analysis method which is used to analyze data to community detection in social networks was introduced in the recommendation system and the result shows this method is improving more accuracy. In this paper, we propose a movie recommendation system using social network analysis and normalized discounted cumulative gain with the best accuracy. To estimate the performance, the collaborative filtering using the k nearest neighbor method, the social network analysis with collaborative filtering method and the proposed method are used to evaluate the MovieLens data. The performance outputs show that the proposed method get better the accuracy of the movie recommendation system than any other methods used in this experiment.

• Journal of the Korea Institute of Military Science and Technology
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• v.19 no.6
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• pp.730-743
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• 2016

Network-Centric Warfare is a forthcoming military revolution paradigm for maximizing combat effectiveness in terms of information superiority. However, quantitative assessment of information effect is a challenging issue. Among the many approaches, war-game is a well known method to evaluate combat effectiveness. However, previous researches and current models have a limited function or logic to simulate information process, which is core concept of NCW. So this research suggests a concept of simulation modeling method to describe the information process as defining of combat information process based on probability decision model. In addition, we suggest a simple scenario to represent proposed concept modelling method. This results can be used in designing war-game analysis model for enhanced information effectiveness.

• Journal of the Korean Data and Information Science Society
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• v.17 no.2
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• pp.421-436
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• 2006

Huang proposed a grey-based nearest neighbor approach to predict accurately missing attribute value in 2004. Our study proposes which way to decide the number of nearest neighbors using not only the deng's grey relational grade but also the wen's grey relational grade. Besides, our study uses not an arithmetic(unweighted) mean but a weighted one. Also, GRG is used by a weighted value when we impute missing values. There are four different methods - DU, DW, WU, WW. The performance of WW(Wen's GRG & weighted mean) method is the best of any other methods. It had been proven by Huang that his method was much better than mean imputation method and multiple imputation method. The performance of our study is far superior to that of Huang.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.8B
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• pp.1224-1231
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• 2010

We study the RFID network system in a construction site, and study the connection method between the RFID network system and the integrated information system of construction material. Moreover, we developed a prototype of the construction site RFID server for the management of construction materials and performed the pilot application in a construction site. Through the pilot application, it was known that the proposed RFID network system can be more usefully applied in the construction sites. The results of the pilot application show that the RFID network system is faster, more accurate, and more reliable than the existing system of information management and achieves improvement in construction productivity.

• The Journal of Information Systems
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• v.7 no.1
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• pp.55-76
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• 1998

Various trials to overcome the limitation of current accounting which fails in synchronizing business activities and their information have failed to make satisfactory result merely showing a little saving of processing time. This is because such trials have been done within the boundary of double-entry bookkeeping system. Without consolidating business activities and their information, reformation efforts such as BPR(business process re-engineering), ABC(activity-based costing), CALS(commerce at light speed) etc to fit the business organization to the changing business environment could not be achieved. Overcoming the limitation of accounting takes precedence of any other attempt to construct the management information systems. Activity Information Accounting System(AIAS) proposes the way of overcoming the limitation of current accounting by using the new accounting methodology and unique solution to real time accounting information. AIAS produces accounting and management information directly of activity information without bookkeeping process of activity information. AIAS adopts method of transforming the details of corporation activities directly into accounting information rather than method of double-entry bookkeeping system. The purpose of this paper is to prove AIAS to be very flexible system by using flexibility concepts. Flexibilities are defined as three aspects, namely ① timeliness (rapid accounting information generations and presentations) ② easy systems modificabilities according to environment changes ③ adaptabilities to all industries.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.1
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• pp.21-29
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• 1997

This paper describes implementation contents contents of manual/automatic complex redundancy control mothod for control of a modulation system of a Paging earth station in redundancy stracture. The existed redundancy control method usually is a automatic local control method in which the redundancy switching, including display or alarm beeping through operation of display devices or audio devices, is performed by the co-action of components or modules when the abnormal status is occurred in a modulation system. However, this method introduced in here is designed to enable use of three control modes;1) Manual mode by an operator, 2) Auto-remote mode by the Network Maagement System, through implementation of the redundancy control system composed of the redundancy control board and the redundancy switching circuit.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.3
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• pp.754-774
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• 2023

Wrestling is one of the popular events for modern sports. It is difficult to quantitatively describe a wrestling game between athletes. And deep learning can help wrestling training by human recognition techniques. Based on the characteristics of latest wrestling competition rules and human recognition technologies, a set of wrestling competition video analysis and retrieval system is proposed. This system uses a combination of literature method, observation method, interview method and mathematical statistics to conduct statistics, analysis, research and discussion on the application of technology. Combined the system application in targeted movement technology. A deep learning-based facial recognition psychological feature analysis method for the training and competition of classical wrestling after the implementation of the new rules is proposed. The experimental results of this paper showed that the proportion of natural emotions of male and female wrestlers was about 50%, indicating that the wrestler's mentality was relatively stable before the intense physical confrontation, and the test of the system also proved the stability of the system.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.12 no.4
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• pp.270-276
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• 2012

With the increase in amount of data and information available on the web, there have been high demands on personalized information retrieval services to provide context-aware services for the web users. This paper proposes a novel dynamic multi-agent context-awareness user profile construction method based on ontology to incorporate concepts and properties to model the user profile. This method comprehensively considers the frequency and the specific of the concept in one document and its corresponding domain ontology to construct the user profile, based on which, a fuzzy c-means clustering method is adopted to cluster the user's interest domain, and a dynamic update policy is adopted to continuously consider the change of the users' interest. The simulation result shows that along with the gradual perfection of the our user profile, our proposed system is better than traditional semantic based retrieval system in terms of the Recall Ratio and Precision Ratio.

• IE interfaces
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• v.18 no.2
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• pp.148-157
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• 2005

The manufacturing industry with Make-to-Order production system is difficult to decide the standard information for the product and the demand is variable to estimate. In this paper, we concerned with the process planning method using data mining in the manufacturing industry with Make-to-Order environment. The subject of our study is the industry transformer plant which is received an diverse order of customer and then produced the product. Currently, process planning method is classified the standard information by hand based on the acquired knowledge through the experience. The standard information stored the various information, such as work sequence, time and so on. This process planning method needs an experts which possesses the field experience for several years. For the product specification which is varied in each order, current process planning method is not efficient due to need many times To solve this problem, we extract the information using data mining process for each processing time, and then construct the knowledge base. We propose a method which is the process planning of the industry transformer product in Make-to-Order environment using the knowledge base.

• The Transactions of the Korea Information Processing Society
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• v.6 no.11S
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• pp.3243-3250
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• 1999

There are many problems to be satisfied the various commercial demand in the present VRML node, and the VRML-based system by the contact with other technology is burdened with the direct participation of developer related with it. In this study, remote control and monitoring system using EAI(External Authoring Interface) is reposed to overcome the limit of VRML. In other words, This study is about mechanism of interaction between control and monitoring subject in real world and object in virtual world mapped with it. Object oriented method by one to one mapping of the Java class which have VRML virtual world and the object control is proposed. Introduction method of video monitoring through method of image synthesis and the integrated development environment is described. Finally automobile-gate control system based on the development method of Internet virtual reality-based system which is proposed in this study is described.