• Journal of the Korea Society of Computer and Information
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• v.21 no.5
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• pp.73-77
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• 2016

This paper deals with the network reliability problem that decides the communication line between main two districts while the k districts were destroyed in military communication network that the n communication lines are connected in m districts. For this problem, there is only in used the mathematical approach as linear programming (LP) software package and has been unknown the polynomial time algorithm. In this paper we suggest the heuristic algorithm with O(n) linear time complexity to solve the optimal solution for this problem. This paper suggests the flow path algorithm (FPA) and level path algorithm (LPA). The FPA is to search the maximum number of distinct paths between two districts. The LPA is to construct the levels and delete the unnecessary nodes and edges. The proposed algorithm can be get the same optimal solution as LP for experimental data.

• International Commerce and Information Review
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• v.11 no.4
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• pp.3-23
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• 2009

Social surveys, using various factors influencing the e-commerce's development of SMEs, are the means of explaining the rapid development of e-commerce. This makes it possible to make more efficient decisions in e-commerce. This article was written from surveys conducted in the manufacturing industry and Trade Company at Jilin Province via e-mail, fax and analyzed data by Statistical Package for the Social Sciences (SPSS). The result shows that in development of e-commerce, the business partners have significant impacts on the achievement of e-business both directly and indirectly. Second, consciousness of leaders, external support, transaction partner relationship and influence of competitors cause a direct result on the development of e-commerce On the other hand, the innovative capacity of enterprises and communication indirectly influence. Based on these, it is valid for us to for us to make correct decisions for the e-commerce development of SMEs.

• Proceedings of the IEEK Conference
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• 2004.06a
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• pp.317-320
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• 2004

In this paper, it is analyzed a performance improvement of ACL Packet using turbo code scheme in bluetooth system. In order for segment to improve the transfer capability, the transmission of messages have been simulated using a fragmentation that begins with the total package and incremental fragmentation for each layer using the TCP to define the resultant packet size and the level of fragmentation for each proceeding layer. This turbo code scheme decreases transmission time of L2CAP baseband packets by sending packets. From the results, we were able to obtain packet transmission time, optimal TCP packet size, ACL(DM packet) in AWGN.

• Journal of information and communication convergence engineering
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• v.14 no.1
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• pp.45-50
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• 2016

Gait-based classification has gained much interest as a possible authentication method because it incorporate an intrinsic personal signature that is difficult to mimic. The study investigates machine learning techniques to mitigate the natural variations in gait among different subjects. We incorporated several machine learning algorithms into this study using the data mining package called Waikato Environment for Knowledge Analysis (WEKA). WEKA's convenient interface enabled us to apply various sets of machine learning algorithms to understand whether each algorithm can capture certain distinctive gait features. First, we defined 24 gait features by analyzing three-axis acceleration data, and then selectively used them for distinguishing subjects 10 years of age or younger from those aged 20 to 40. We also applied a machine learning voting scheme to improve the accuracy of the classification. The classification accuracy of the proposed system was about 81% on average.

• IE interfaces
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• v.22 no.1
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• pp.85-94
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• 2009

Nowadays, most of the major manufacturing companies prepare their manufacturing schedule using package based solutions. Even though the accuracy of the detail scheduling result is high at implementation, however, it is low during maintenance period. The main cause of low accuracy during maintenance period is due to difficulties in maintaining the accurate level of master data. In this paper, we propose to easily maintain setup time, which is one of the most important factors required in master data to achieve good scheduling result, after changing job. This paper is mainly focused on how to deduce the factors that influence the setup time in a roll-based manufacturing field with print operations. For this purpose, we employed rule based algorithm and applied for deciding setup time for the existing product items. Likewise, it can be applied to new items without any complex setup procedures, and, finally, it displays the result of the real setup-time and calculated setup-time.

• The Journal of Information Systems
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• v.15 no.3
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• pp.87-106
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• 2006

The customer-focused enterprise is interested in integrating every record of an interaction with a customer. This study is to investigate the structural relationship of data integration customer analysis capability, marketing & sales capability, customer service capability, and CRM performance. 205 survey data were collected from the company which implemented the CRM package. SEM analysis shows that data integration has influence on the CRM performance through the improvement of customer analysis capability, marketing 8t sales capability, and customer service capability. The revised model for further goodness-fitting model shows that data integration has influence on the improvement of customer analysis capability, marketing & sales capability, and customer service capability. but customer analysis capability has indirect influence on CRM performance through the improvement of marketing & sales capability, customer service capability.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.2
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• pp.218-230
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• 2012

This study examines the influence of innovativeness and price sensitivity on the purchase intention of smart wear. A total of 211 copies of data were analyzed to investigate a structural model and test research hypotheses using AMOS 7.0 package. The results were summarized as follows. First, fashion innovativeness and technology innovativeness negatively affected price sensitivity; however, information innovativeness positively affected price sensitivity. Second, technology innovativeness positively affected the purchase intention of smart wear; however, fashion innovativeness and information innovativeness did not affect the purchase intention of smart wear. Third, price sensitivity negatively influenced the purchase intention of smart wear. This study is useful for marketers and managers who establish marketing and a price strategy for smart wear in an exploration of the relation of consumer innovativeness, price sensitivity, and the purchase intention of smart wear.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.230-236
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• 2001

In this paper, we explored the possibilities of embedding Qualitative Reasoning techniques, the Qualitative Process Theory (QPT), and its implementation in the field of inorganic chemistry. The target field of implementation is Qualitative Chemical Analysis and Laboratory Simulation. By embedding such technique in this education software we aim to combine theory and practice into a single package. The system, are able to generate reasoning and explanation based on chemical theories, helping student in mastering basic chemistry knowledge and practical skill as well. We also review the suitability of embedding QPT techniques into chemistry in general, by comparing some examples from both fields.

• Proceedings of the Korean Society of Computer Information Conference
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• 2009.01a
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• pp.85-88
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• 2009

본문에서는 계층적 근무 환경에서 계급 간 보안이 유지되어야할 software application들의 효율적인 접근을 제공하는 관리 시스템을 개발하였다. package화된 software를 DB화하여 소켓통신을 이용하여 client에서 원터치로 원하는 Application이 간편하게 자동으로 설치, 삭제되도록 설계하였다. 이로써 관리자는 효율적인 테스트환경 제공과 테스트중인 프로그램의 유출방지를 기대할 수 있다. 이 프로그램은 사용법이 간단하여 다양한 연령층이 다양한 분야에서 응용이 가능하도록 설계되었다.

• The Transactions of the Korea Information Processing Society
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• v.7 no.6
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• pp.1867-1873
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• 2000

Function approximation from a set of input-output pairs has numerous applications in scientific and engineering areas. Support vector machine (SVM) is a new and very promising classification, regression and function approximation technique developed by Vapnik and his group at AT&TG Bell Laboratories. However, it has failed to establish itself as common machine learning tool. This is partly due to the fact that this is not easy to implement, and its standard implementation requires the use of optimization package for quadratic programming (QP). In this appear we present simple iterative Kernel Adatron (KA) algorithm for function approximation and compare it with standard SVM algorithm using QP.