• KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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• v.4B no.4
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• pp.190-195
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• 2004

This paper presents the analysis of the effects of non-uniform slots in a line start permanent magnet (LSPM) motor. For purposes of the investigation, the simple formula of $2^{nd}$resistance for rotors having different slot areas is deduced. The characteristic analysis using the formula is performed and compared with measurement results.

• International Commerce and Information Review
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• v.9 no.3
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• pp.59-79
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• 2007

This paper is to identify whether the mechanism of the real market as an off-line market developed from the transaction cost theory from previous research is applied to on-line market, such as usiness to Business e-marketplaces. With three factors(parties, product, environments) selected from previous research, four cases picked up from all B2B e-marketplace sites as of April 2007, in the view of Business to Business Matrix which presented by Kaplan & Sawhney(2000), were studied. They were accompanied by interview with CEO and team manager, and they explained their business and revenue model of the company. From the interview, the relation between three factors and usiness to Business e-marketplace was observed by taking sub-factors into consideration; parties -asset specificity, information asymmetry, product factors - standardization, price stability, and environments factors - competition, market uncertainty. The implications of this study are to analyze the relation of the transaction theory in offline and online. Also, this is the first study that analyzed it. In the future, another research based on this research will be studied.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.19
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• pp.169-190
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• 2003

Uniform Computer Information Transactions Act (UCITA) for e-commerce in non-UCC and non-UETA transactions, promulgated in 1999. The Act Drafted by the National Conference of Commissioners on Uniform State Laws. UCITA applies to contracts to license or buy software, contracts to create computer programs, contracts for on-line access to databases and contracts to distribute information over the Internet. UCITA does not apply to goods such as television sets, stereo equipment, airplanes or traditional books and publications. Goods generally remain subject to UCC Article 2 or Article 2A. Many transactions may include more than computer information. If that transaction covers non-goods subject matter, UCITA applies only to the part of the transaction which is computer information and other law applies to the other subject matter. In the event the other subject matter is goods, UCC Article 2 or 2A applies to the goods subject matter and UCITA applies to the computer information part. UCITA is coordinated with existing Articles 2 and 2A, so coverage of each to part of the transaction will be facilitated. With respect to other subject matter (primarily services) UCC Articles 2 and 2A have worked in mixed transactions with the common law applicable to the services.

• Journal of Korean Society for Quality Management
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• v.32 no.4
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• pp.15-29
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• 2004

This paper is interested in analyzing the CSFs of 3 different kinds of on-line digital products. They are on-line digital products of (1) transaction, (2) relations, and (3) interests. This study first tried to define the on-line digital products based in the above three categories and then to find the factors that might effect the customer acceptability in each product groups. Independent variables used in this study are characters of products, characters of users, and system environments. This paper that on-line survey has been conducted for the study's specialty and the collected resource was analyzed by using the SPSS 10.0K statistics package. Using multiple regression, this study finds that major factors effecting the user acceptability of each group are different from one another. For example, system environment variables such as speediness, system performance effects the customer acceptability of digital products of Interest(game, avartar, etc). Much more then that of products of relations(information service, etc). Therefore empirical findings are suggested in the conclusion.

• KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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• v.3B no.2
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• pp.97-102
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• 2003

In this paper, a recurrent artificial neural network (RNN) based self-tuning speed controller is proposed for the high-performance drives of induction motors. The RNN provides a nonlinear modeling of a motor drive system and could provide the controller with information regarding the load variation system noise, and parameter variation of the induction motor through the on-line estimated weights of the corresponding RNN. Thus, the proposed self-tuning controller can change the gains of the controller according to system conditions. The gain is composed with the weights of the RNN. For the on-line estimation of the RNN weights, an extended Kalman filter (EKF) algorithm is used. A self-tuning controller is designed that is adequate for the speed control of the induction motor The availability of the proposed controller is verified through MATLAB simulations and is compared with the conventional PI controller.

• Journal of Information Technology Applications and Management
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• v.23 no.4
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• pp.55-70
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• 2016

Recently, development of indoor positioning system and IoT such as beacon makes it possible to collect and analyze each customer's shopping behavior in off-line shopping malls. In this study, we propose a realtime brand recommendation scheme based on each customer's brand visiting history for off-line shopping mall with indoor positioning system. The proposed scheme, which apply collaborative filtering to off-line shopping mall, is composed of training and apply process. The training process is designed to make the base brand network (BBN) using historical transaction data. Then, the scheme yields recommended brands for shopping customers based on their behaviors and BBN in the apply process. In order to verify the performance of the proposed scheme, simulation was conducted using purchase history data from a department store in Korea. Then, the results was compared to the previous scheme. Experimental results showd that the proposed scheme performs brand recommendation effectively in off-line shopping mall.

• Journal of Information Technology Services
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• v.7 no.2
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• pp.1-12
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• 2008

The development of IT and explosively growing number of Internet users are rapidly spreading and developing e-commerce, while creating diverse on-line transaction methods such as a negotiation, a reverse auction, and a bid. Among these transaction methods, the transactions by means of a negotiation are being made for goods that have no posted price. In particular, the transactions by means of a negotiation are expected to be widely used in the B2B. In order to determine their transportation costs, shippers usually make negotiations with many transporters and logistics companies. And before long, these negotiations are expected to be made on an on-line automated negotiation system. Because of this, this study has tried to develop an automated negotiation methodology that is absolutely necessary for an on-line automated negotiation. This study has estimated and selected the evaluation functions for multi-lateral negotiators' proposals, thus developing an automated negotiation methodology. As a result of this study, a new direction for an automated negotiation has been suggested. Also we expect that this study will be widely used in the automated negotiation of diverse fields.

• Journal of The Korean Digital Architecture Interior Association
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• v.12 no.1
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• pp.89-98
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• 2012

While the housing transaction price of Seoul tends to be stagnant or declining in line with the housing market recession since 2007, the jeonse price keeps continual increase. Such flow of jeonse price change has a serious influence on ordinary person's housing stability seriously. Therefore, it is very meaningful in terms of social policy to analyze the trend of recent jeonse price change. This study aims to have an empirical analysis of structural characteristics of the trend of recent jeonse price change. After the review of various previous studies, this study selected housing jeonse price index, non-sold house quantity, jeonse vs. transaction price rate, and housing construction performance as analytical variables, and employed monthly time series resources from January 2007 to April 2011. As a result, when the housing supply reduced, the potential quantity for jeonse market reduced that occurred unbalance of supply and demand in jeonse market. In turn, it caused the increase of jeonse price. And, in case of jeonse vs. transaction price rate change, the rate increased which means the increase of required rate of return of invested demand. As such, the increase of market risk degenerates the investment sentiment which caused the reduction of quantity for jeonse market as a submarket.

• International Commerce and Information Review
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• v.3 no.2
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• pp.1-16
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• 2001

This study discusses some theoretical implications for efficient utilization of the global E-commerce in a world of uncertainty by beginning with measures of risk and return for the global E-commerce, and by moving to risk and return for a efficient transaction portfolio of many risky methods of transaction. Decision rules are developed to show how individuals choose optimal transaction portfolios that maximize their expected utility of wealth. First, the individuals will generally want to allocate positive amount to the global E-commerce, which requires that the expected marginal utility of wealth equals zero. Secondly, the optimal transaction portfolio will be determined by finding the point of tangency between the efficient trading line and the hightest indifference curve in the mean-variance plane. Thirdly, if the global E-commerce is positively correlated with wealth, it must have an expected return that is higher than the risk-free transaction methods in order to compensate for its risk. Fourthly, on the other hand, if the global E-commerce is negatively correlated with wealth, it will have an expected return that is less than the risk-free transaction methods. Finally, the valuation of global E-commerce depends on the degree of individual's risk aversion and the covariance between the expected return of total wealth and the return of global E-commerce.

• Journal of Distribution Science
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• v.16 no.12
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• pp.57-68
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• 2018

Purpose - The development of technologies lead the volume of sale on online market increase but an off-line shopping center is still a core component in the omni-channel strategy. It is generally thought that high-level retailtainment on brick and mortar store affects purchase intentions positively, but some previous studies dispute that and have reported that retailtainment does not affect purchase intentions. So we have studied the additional factors' effect - the nature of purchase and utility - with retailtainment. Research design, data, and methodology - There are 8 treatment groups which were assigned by the method of retailtainment (high vs. low), nature of purchase (essential vs. non-essential), and utility (acquisition vs. transaction). A total of 240 subjects (office workers = 163, 68%; undergraduates = 77, 32%; average age = 30s; female = 39%) were divided into groups and exposed to one of the eight scenarios. Participant's purchase intention was the dependent, and ANOVA and L-matrix were used to analyze for main and interactive effects between factors. Results - First, the main effect and interactive effect between retailtainment and the nature of purchase are significant. We also found that the contrast between essential and non-essential at low-level retailtainment is higher than that of high-level retailtainment. Second, in the case of retailtainment and utility, transaction utility under high-level retailtainment affects purchase intentions positively. Third, between the nature of the purchase and utility, the main effect of the nature of purchase and the interactive effect is significant, but the main effect of utility is not significant. In the case of non-essential goods, the purchase intention was high when transaction utility was provided but in the case of essential goods, acquisition utility increased purchase intentions. Finally, when transaction utility is given, purchase intentions of essential goods increase under low retailtainment, and the purchase intentions of non-essential goods increase under high retailtainment. Conclusions - When customers buy essential goods, discounts decrease purchase intentions. During the season for bargain sales, purchase intentions increase when retailtainment of essential goods is low, and retailtainment of non-essential goods is high.