Earticle

Web security middle ware system has two functions, which are user authentication and security access control. User authentication is to verify a valid user. User authentication is commonly based on the method of password. The losing, opening, and hacking password causes a critical security problem. This research is focused on developing a neural network approach for user authentication using keystroke. Two-phase approach for user authentication and verification is designed. This first-phase is based on pattern analysis of keystroke of user ID and password. The second-phase also employs patterns analysis on keystroke of randomly generated characters complementarily. Keystroke includes the information on duration of pressing a character and delay interval time between pressing a character and next character. The proposed approach basically relied on the individual keystroke pattern. Conventional back-propagation learning algorithm is adopted with multi-modal sigmoid function. Various experimental analysis are performed to verify the presented method. Seven characters are used as keystroke pattern data. Classical minimum distance classifier and single perceptron are compared to back-propagation. Back-propagation algorithm has superior performance among the three approaches having 0.02441 FRR and 0.0288% FAR, which are close to other recognition rate. After user authentication is performed, Access control is designed for controlling not permitted or not allowed access. The presented neural network based user authentication is applied for Web security middle ware system.

Nowadays retail business experiences rapid change and steep competition to survive. Many of them strive to renew the store and facilities. This kind of renovation needs huge input of capital but the result is doubtful. Retail business is highy touch and labor intensive industry so the efficiency of sales forces is the core of business success. The purpose of this article is to draw the strategic insights to enlarge the productivity of sales force. According to the result of the research, many emotional factors influence sales force's satisfaction to the store and work itself. So, to elevate the human productivity in retail business we need the followings. First, the empowerment of the sales force is needed. To develop positive relationship with customer and share the mind of 'I'm also customer' will be helpful. Second, the implementation of customer orientation is needed. Today many firms say they work for maximizing customers benefits but actually they work for maximizing their own profits. Serve customer benefits, such as CRM, QRS, and customized marketing. In conclusion, physical input such as capital, facilities will be helpful to enlarge the output and the productivity of retail business.

This study tries to examine the strategic fit of competitive strategies and competitive priorities in domestic electronic firms' manufacturing strategy. The strategic fit is accepted as a major factor in explaining the difference of firms' productivity performances. To set up strategic fit model, the previous research on manufacturing strategy model has been examined thoroughly. Based on proposed model composed of competition environments, core competences(competitive advantage and value chain), competitive strategies and competitive priorities, stepwise multiple regression was used as exploratory method to find significant types of internal strategic fit. The test results show that core competences(especially competitive advantage) have more impacts on competitive strategy than competition environments. In addition, there exist the significant types of strategic fit between competitive strategies and priorities. That is, differentiation strategy takes delivery priority and focusing takes flexibility.

World economy makes rapid progress due to knowledge based economy, globalization, regionalization, and network oriented system. Rapid progress in IT industry and networking. The importance of small business is highlighted as one of the confrontations for these variations. Therefore, the purpose of this survey is groping for the development plan which make the revitalization of the small business support and the higher productivity possible. This survey consists of four chapters. Chapter one is the introduction and deals with the background, the purpose, the method of this study. Chapter two examines the transition of its position, the enlargement of the role, and the present state of the small business. Chapter three is the study about the actual conditions of the support center for small business and the revitalization plan. And Chapter four is the conclusion and presents the results, the limits, and the hereafter assignment of this study.

This purpose of this research is to suggest the improvement productivities through activating of the small business start-up and employment. For this purpose, through the existing research related small business start-up and employment effects analysis, I examined the theoretical background, established the hypothesis and analyzed the empirical analysis through the statistical analysis and some case studies. The statistical data since 1999 were prepared by the SBDC(Small Business Development Center) and the real company cases were made in the distrct of the Incheon City. As a result, this study indicates that activation of the small business start-up and employment provide positive improvement productivities and suggests the importance of small businesss start-up and the necessity for the continuous fostering systematically including supporting measures.

This paper analyzes the factors that affect operational efficiency of the 2nd scale hospital using Data Envelopment Analysis(DEA) and Tofallis profile analysis. The result of this paper shows that the location, the operational character(general vs specialized), the major treatment service type of hospital do not affect operational efficiency respectively. On the view point of operational efficiency the 2nd scale hospitals can be categorized in two group, one is relatively large hospital with high efficiency, the other is small hospital with low efficiency. The means of the number of doctors, nurses, clerical staffs, beds of the former hospital group are larger than the means of the latter group, and the mean of efficiency score measured by DEA of the former is higher than that of the latter. In addition this paper shows that the effect of the economy of the scale exists in hospital industry and the efficiency of beds is the most important factor on operational efficiency of hospital.

This paper examined the productivity promotion for logistics system of firms. Based on the analysis of ninety-two cases, the following results were found. First, it was found that both the primary activities and support activities forces have a positive influences on the productivity of logistics system integration. Second, the production activities and sales activities of primary activities forces have a positive influences on the performance of supply chain management through productivity of logistics system integration. Third, the technology development activities and human resources management of support activities forces have a positive influences on the performance of supply chain management through productivity of logistics system integration.

This study investigates the process of the Internet usage of the small and medium sized enterprises with the technology acceptance model. Results show that the perceived usefulness and the perceived ease of use mediate the intention of the Internet utilization of the SMEs. Also, it is found that the product appropriateness to the Internet, the resource barrier, the intensity of the industry competition make a significant effect on the perceived usefulness of the Internet and organizational Internet knowledge significantly influences the perceived ease of the Internet use. We also found that the perceived ease of use affects indirectly the intention through the perceived usefulness. Some theoretical and practical implications are suggested.