• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.11a
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• pp.719-722
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• 2002

임베디드 시스템을 이용하여 TCP/IP 상의 인터넷 제어시스템을 구현하였다. AT90S8535 마이크로 컨트롤러 구조 및 각종명령 레지스터 동작 원리, avr-gcc 하드웨어 프로그래밍 및 명령 레지스터의 구현원리, JAVA 애플릿 프로그래밍, 전반적인 하드웨어 기초 이론을 바탕으로 Mellow Device 1300 임베디드 시스템과 AVR90S853S 마이크로 컨트롤러 상호간의 시리얼 통신을 이용하여 원격지의 온/습도 검침 및 각종 하드웨어 디바이스의 on/off를 구현하도록 설계하였고 실시간으로 검출된 온/습도 데이터를 JAVA 애플릿을 이용하여 그래픽 챠트로 보기 쉽게 표현하였으며 A/D 변환된 온도 및 습도 데이터와 각종 H/W 디바이스 on/off 상태 데이터를 RS232 인터페이스를 이용하여 Mellow Device 1300로 송/수신하도록 구현하였다.

• The Transactions of the Korea Information Processing Society
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• v.7 no.5S
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• pp.1657-1665
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• 2000

Mobile agents based e-commerce system has many advantage than traditional e-commerce-information gathering on goods, price settlement and payment, delivery of the goods purchased, and so on. However, due to the security vulnerability that stems from mobile agent's mobility, mobile agents based e-commerce system has additional security problems. Therefore, in order to do e-commerce securely in th system, first of al the security issues on mobile agents must be addressed. It this paper, we propose a mobile agent transfer protocol that provides confidentiality and integrity of mobile agent in transit and mutual authentication for communicating hosts. We further show the security of the protocol against many possible attacks. Also, we suggest the location management mechanism of mobile agents based on the trust center. This mechanism is capable of finding their locations transparently and detecting mobile agent clones.

• Fashion & Textile Research Journal
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• v.2 no.3
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• pp.205-214
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• 2000

With the increase of using Internet in clothing shopping, the gathering of customer information based on online research is emphasized. The purposes of this paper summarized the several aspects of on-line research as new data collection methods and investigate some characteristics through reviewing extant literature on online research. We explored a conceptual model of response behavior for the purpose of the literature in a manner which enhance a deeper understanding of online response behavior. This model was focused on exchange paradigm instead of a "help-the-sponsor" approach. The proposed conceptual framework included questionnaire design, response incentive, commitment, convenience, expertise, response behavior (satisfaction and attitude), and online research performance.

• Journal of the Korea Safety Management & Science
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• v.12 no.3
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• pp.333-339
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• 2010

Data mining is the process of finding and analyzing data from a big database and summarizing it into useful information for a decision-making. A variety of data mining techniques have been being used for wide range of industries. One application of those is especially so for gathering meaningful information from process data in manufacturing factories for quality improvement. The purpose of this paper is to provide a methodology to improve manufacturing quality of fuel tanks which are auto-parts. The methodology is to analyse influential attributes and establish a model for optimal manufacturing condition of fuel tanks to improve the quality using decision tree, association rule, and feature selection.

• Journal of Applied Reliability
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• v.5 no.4
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• pp.465-486
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• 2005

A unreliable network system results in unsatisfied performance. A performance criterion of a network is throughput and availability. One of the most compelling technological advances of this decade has been the advent of deploying wireless networks of heterogeneous smart sensor nodes for complex information gathering tasks, The advancement and popularization of wireless communication technologies make more efficiency to network devices with wireless technology than with wired technology. Recently, the research of wireless sensor network has been drawing much attentions. In this paper, We evaluate throughput and availability of wireless sensor network, which have hierarchical structure based on clustering and estimate the maximum hroughput, average throughput and availability of the network considering several link failure patterns likely to happen at a cluster consisted of sensor nodes. Also increasing a number of sensor nodes in a cluster, We analysis the average throughput and availability of the network.

• Journal of Applied Reliability
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• v.8 no.4
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• pp.181-192
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• 2008

In this paper, we proposed effective algorithm that do Availability of communication network account using total probability formula. Use path tracing method about PSTN linked with MSC in WCDMA considering occasion that do not consider mobility of terminal and Availability did account. First, express minimum path series gathering by structure function after network that do modeling by stochastic graph for communication network saves all minimal path sets between particular two abutments and we gain Availability value in angular variable after express structure function by Boolean operation form and Availability between two abutments did account.

• International Commerce and Information Review
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• v.8 no.1
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• pp.305-323
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• 2006

Though trade shows have emerged as an increasingly significant component in companies' international promotional tools, little research has examined this activity and previous findings on this theme are few and mostly foreign. With the trade show costs rising, exhibitors are forced to exert more effort to their trade show success. This research studies the effectiveness of trade show as a international promotion method and suggests strategic management program to enhance trade show performance such as image-building, sales-related, information-gathering, and relationship-improvement. Our suggestions are as follows: (1) Marketing executives should make a plan for trade show management and set their trade show objectives before trade show opens. (2) Companies should reinforce pre-show promotion and booth staff training. (3) After trade shows close, it should measure their trade show performance. These are key success factors for companies to enhance their trade show performance. By implementing these success factors effectively, exhibitors can have better performance of trade show.

• Journal of Digital Contents Society
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• v.5 no.1
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• pp.54-60
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• 2004

This research employs the intelligent survey agent and online application from to help people to locate the information they would want from Internet quickly. Corporate sectors and indivisuals are in need of valuable and relevant information to swiftly adapt to the Internet-driven business or educational environment. Based on Internet GUI environment, this user-friendly online survey and online application form program uses the agent of increasing the interest and participation of users. The system helps along with the decision making process by quickening the information gathering process.

• Journal of Information Processing Systems
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• v.7 no.4
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• pp.635-652
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• 2011

In ubiquitous environments, many applications need to process data with time and space dimensions. Because of this, there is growing attention not only on gathering spatiotemporal data in ubiquitous environments, but also on processing such data in databases. In order to obtain the full benefits from spatiotemporal data, we need a data model that naturally expresses the properties of spatiotemporal data. In this paper, we introduce three spatiotemporal data models extended from temporal data models. The main goal of this paper is to determine which data model is less complex in the spatiotemporal context. To this end, we compare their query languages in the complexity aspect because the complexity of a query language is tightly coupled with its underlying data model. Throughout our investigations, we show that it is important to intertwine space and time dimensions and keep one-to-one correspondence between an object in the real world and a tuple in a database in order to naturally express queries in ubiquitous applications.

• Journal of the Korea Society of Computer and Information
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• v.23 no.9
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• pp.7-13
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• 2018

Recent advancement in data gathering technique improves the capability of information collecting, thus allowing the learning process between gathered data patterns and application sub-tasks. A pattern can be associated with multiple labels, demanding multi-label learning capability, resulting in significant attention to multi-label feature selection since it can improve multi-label learning accuracy. However, existing evolutionary multi-label feature selection methods suffer from ineffective search process. In this study, we propose a evolutionary search process for the task of multi-label feature selection problem. The proposed method creates large set of offspring or new feature subsets and then retains the most promising feature subset. Experimental results demonstrate that the proposed method can identify feature subsets giving good multi-label classification accuracy much faster than conventional methods.