This study has two research objectives related to end-user computing (EUC). One of the research objectives was to investigate the current status of EUC of Korean firms. Another research objective was to examine the relationship between individual differences of end-users and EUC success. Using survey data from 752 end-users of 23 firms, the surrent status of EUC and the relationship between individual differences of end-users and EUC success were investigated. The current status of EUC was examined from six perspectives: 1). what is the characteristics of EUC strategy of Korean firms, 2). what are the individual characteristics of end-users in Korean Firms, #0. what are the characteristics of tasks performed by end-users using computer, 4). what are the application a areas of EUC, 5). How end-users are satisfied with the support of firms, 6). what are system usage and satisfaction of end-users. It was also foud that individual differences of end-users are related to EUC success. More specifically, it wat shown that the male gender, younger age, higher level of education, higher rank and organizational tenure, higher math ability, thinking type of cognitive style, positive and optimistic attitudes toward computer, more experience with computer, more computer education and knowledge are individual differences variables associated with EUC success. The results of stepwise regression analysis suggested that the individual difference variables accounted for 14%, 25%, 39% and 30% of the variances of four EUC success variables, satisfaction for outcome, satisfaction for ability, frequency of computer use, and the number of tasks, respectively. These empirical findings suggest that EUC managers should consider individual differences of end-users in managing EUC, such as education, training, support, and human resource management, to maximize potential benefits of EUC.

Previous studies on user training have largely focused on assessing models which describe the determinants of information technology usage or examined the effects of training on user satisfaction, productivity, performance, and so on. Scant research efforts have been made, however, to examine those effects of training by using theoretical models. This study presented a conceptual model to predict intention to use information technology and conducted an experiment to understand how training for computer skill acquisition affects primary variables of the model. The data were obtained from 32 student subjects of an experimental group and 31 students of a control group, and the information technology employed for this study was a university's electronic mail system. The study results revealed that attitude toward usage and perceived behavioral control helped to predict user intentions; outcome expectations were positively related to attitude toward usage; and self - efficacy and perceived behavioral control. The changes in those variables suggest more causal effects of user training than other survey studies.

무한 산란체나 해석적 해가없는 구조에 대해 회절계수를 구하기 위해 사용되어지는 GTD-MM 혼합기법은 회절전류에 대한 사전 지식이 요구되며 모멘트법 해석영역 범위와 GTD 해석영역에서의 정합점의 결정이 산란해의 정확도에 큰 영향을 미침에도 불구하고 경험적 결정에 의존하고 있는 등 많은 문제점들이 있다. 본고에서는 이러한 문제점을 살펴보고 그 해결방안을 모색하였다.

Misunderstanding of multimedia in the computer industry, the confusion of consumers, and the lack of understanding of technology in the human context provide an impetus for examining and speculating on the future of multimedia. "What can a multimedia technology do ?" is not a sufficient question for consumers until we add "for whom." Both how the relevant technology is likely to develop and how human choices would be made are examined with a focus on historical trend in media technology adoption.

급변하는 환경속에서 중소기업이 살아남기 위해서 필수적으로 요구되는 것이 정보기술이다. 특히 최근에 와서 인터넷의중요성과 활용이 증대되고 있다. 본 연구에서는 중소기업의 인터넷에 관한 실태분석을 통하여 활용방안을 제시하고자 하였다. 전국의 중소기업 126개 업체를 대상으로 설문지를 배포하고, 회수된 82부중 64부를 실제분석에 사용하였다. 분석결과 중소기업에서는 인터넷에 대한 필요성은 강하게 느끼고 있지만, 인지도는 그리 높지 않았고, 사용시간도 낮은 수준이었으며, 주로 활용하고 있는 업무는 마케팅 업무였고, 활용되는 분야는 검색과 전자우편이 주를 이루었다. 인터넷의 활용으로 달성할 수 있는 성과로는 중소기업의 신속한 기술정보 제공으로 나타났다. 실태분석을 통하여 중소기업이 취할 수 있는 활용방안은 의사소통의 원활화, 업무자동화, 경영전략 단계 등임을 확인 할 수 있었다. 이상과 같이 중소기업이 인터넷을 활용하고 있는 정도는 미약하지만, 강한 필요성을 느끼고 있고 정부차원의 지원을 통해 인터넷은 중소기업의 필수 불가결한 정보기술, 나아가서는 경쟁무기가 될 수 있을 것으로 기대된다.

This paper is to describe the development of nesting software for the materials cutting plan of footwear manufacturing processes. In shoes cutting process, almost of the materials cutting plan is dependent upon worker's experience. Thus, the pattern nesting by worker's experience for materials cutting is different from the real cutting results and also different from the error size of yield in degree of worker's skill. Recently, a few of domestic shoes' makers make use of oversee's nesting software. But the nesting software unfits for the domestic actual circumstances, and is complex to use, and is expensive, and is not to be interfaced with the auto cutting machine. Therefore, we have developed the economic nesting systems that are easier for novice to use and fit for the domestic circumstances, which can syncronize with the development of the auto cutting machine. The system comprises interrelated modules for materials information, nesting simulation, utility. The architecture of system, the functions of each module, and the information processing procedures of each function are discussed.

본 논문에서는 게이트의 길이가 0.25㎛인 GaAs HEM를 이용하여 11.7㎓-12.2㎓ 대역 위성통신용 수신기를 설계하였다. 설계된 수신기의전체이득은 38㏈이상, 잡음지수 1.8㏈이하, 입출력단의 반사손실은 -10㏈이하를 보였다. 수신기는 저잡음증폭기(LNA), 중간주파수증폭기(IFA), 믹서, 국부발진기(LO)로 구성되어 있으며 LO 주파수와 IF 주파수는 각각 10.75㎓와 0.95㎓-1.45㎓이고 칩의 크기는 1.7㎜×2.5㎜이다.

It is discussed how to determine the home location of idle vehicles in an AGVS with a loop guide path in a way of maximizing the request-call response probabilities for all demand. Optimal home position is selected by solving the simultaneous equations easily. Static positioning strategy is analyzed in which a single home position is allocated to which every vehicle is routed whenever it becomes idle. The cases of unidirectional guidepath is considered only. We provide a numerical example to illustrate the search algorithm developed for the case and compare the searched optimal solutions with the others.

The bootstrap procedure is suggested as a useful method for point and interval estimation of system availability. Its validity and robustness has been shown in special, but representative case, by various sampling experiments. Alternative to the bootstrap suggest themselves e.g. a variation of the 'F'technique, but remain to be evaluated, as do variations on the bootstrap itself.

This paper propose a fuzzy regression method using fuzzy neural networks when a membership value is attached to each input-output pair. First, an architecture o fuzzy neural networks with fuzzy weights and fuzzy biases is shown. Next, a cost function is defined using the fuzzy output from the fuzzy neural network and the corresponding target output with a membership value. A learning algorithm is derived from the cost function. The derived learning algorithm trains the fuzzy neural network so 솜 t the level set of the fuzzy output includes the target output. Last, the proposed method is applied to the quality evaluation problem of injection molding

The new field of learning control develops controllers that learn to improve their performance at executing a given task, based on experience performin this specific task. In a previous work［6］, the authors presented a theory of indirect learning control based on use of indirect adaptive control concepts employing simultaneous identification ad control. This paper develops improved indirect learning control algorithms, and studies the use of such controllers in decentralized systems. The original motivation of the learning control field was learning in robots doing repetitive tasks such as on an assembly line. This paper starts with decentralized discrete time systems, and progresses to the robot application, modeling the robot as a time varying linear system in the neighborhood of the nominal trajectory, and using the usual robot controllers that are decentralized, treating each link as if it is independent of any coupling with other links. The basic result of the paper is to show that stability of the indirect learning controllers for all subsystems when the coupling between subsystems is turned off, assures convergence to zero tracking error of the decentralized indirect learning control of the coupled system, provided that the sample time in the digital learning controller is sufficiently short.