• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.244-259
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• 2021

The economic value of personal information has its importance as an objective measure of valuation in commercial, legal, and policy areas. Until recently, however, personal information subjects have not properly recognized the economic value of personal information, which has led to the inability to exercise the right to self-determination of personal information by unconsciously agreeing to the terms and conditions of personal information service without recognizing the value of personal information provided to the service provider when subscribing to a specific service. Therefore, we will examine the methodologies for calculating the economic value of personal information and the practical guarantee of the right to self-determination of personal information and analyze the economic value of personal information through a survey. Also, we would like to propose various ways for the subject of personal information with limited cognitive resources to visually accept the economic value of personal information required by the terms and conditions and suggest the optimal visualization of personal information economic value to exercise the right to self-determination of personal information. To do so, in this paper, we have conducted two survey experiments to estimate the economic value of personal information. Based on the price of personal information by category retrieved from surveys, we have visualized the price of personal information in various forms and asked respondents to choose the optimal infographic that best represents the value of personal information visually. As a result, we have proposed an optimal usage of the infographic to 'nudge' information subjects about their right to self-determination of personal information, therefore opening the possibility of diminishing privacy paradox.

• Korean Institute of Interior Design Journal
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• v.15 no.4 s.57
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• pp.138-146
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• 2006

Main elements in definition of space value were physical, formal, and reasonable characteristics in the past. Howener recently, definition of space value is changing by being advanced about study concerned with human's cognition and thinking way in definition and analysis of space. As you see, cognitive psychologists have emphasized the importance of human's cognitive structure and process and studied diverse aspects of human's thinking ; consciousness, perception, memory, image, language, decision-making, inference, and so on. Therefore main elements in definition of space value are five-dimensional, psychological, symbolic, mental, emotional characteristics above physical, formal, and reasonable characteristics. As mentioned above, the conversion of thinking focused on reason to thinking focused on human's spirit and emotion is achieved in contemporary architecture and 'human's experience' in space becomes a very important factor. For that reason, the purpose of this study is consideration of human's cognitive process in space by conversion of thinking and gives a definition about experience. And, I would like to define 'experience design' whose main attribute is experience in space and establish theoretical basis of experience design through theoretical researches about experience. This study on experience design that induces users to participate in space and stimulate human's spirit is a important point in definition of space value not only contemporary interior architecture but also prospective generation.

• Journal of the Ergonomics Society of Korea
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• v.12 no.2
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• pp.29-43
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• 1993

This paper presents a conceptual approach to convert customer requirements expressed in ordinary language into a form of qualitative and quantitative functions for developing new products. This approach attempts to combine the concepts of the value engineering and the Kansei engineering. It emphasizes that customer require- ments should be interpreted and reflected on the design of new product. Specific are discussed for extracting subjective requirements and transforming them into qualitative and quantitative functions for product design. This approach is expected to provide the product designer with a systematic efficient tool for incorporating subjective requirements into a product design.

• The Research Journal of the Costume Culture
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• v.5 no.4
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• pp.44-53
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• 1997

The purpose of this study is to analyze dress meanings painted by elementary school girl. As in language, the dress is the symbol and form of non-verval communicator its wearer by means of the mentalistic semantics. Also it is to analyze meanings of dress by applying the semantics of Geoffrey Leech. The followings are the findings of the analysis 1. The conceptual are the findings of the analysis 2. The social meaning is indicating the feminine image. 3. The offective meaning is indicating the aesthetic value.

• Journal of Technologic Dentistry
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• v.29 no.2
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• pp.17-34
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• 2007

This study was conducted to research into the recognition level of employment and overseas employment on 173 students majoring in dental technology at two colleges in Daegu metropolitan city and Jeju self-governing island through questionnaires which are recorded individually. The results are as follows. 1. About 31.8% students chose dental technician department taking their aptitude into consideration when they entered college. 52% students gained information about dental technology through internet, and 57.3% students among them, which was the highest level, were under age 20. 2. 48.6% students responded that they thought the level of satisfaction with major was average and there was a difference according to their ages among the level of satisfaction or dissatisfaction with their major and the previous knowledge of major they had gained before entering college. 75.1% students said they wouldn't transfer to other major even if they were given the chance, which was much higher than the opposite case. And only 2.3% students had dissatisfaction at their major, which means students majoring dental technology evaluate their major positively. 3. Most students(58.4%) wanted to get a job for living cost and 53.2% students took advice from their seniors or elderly people in choosing their jobs. 64.7% students answered they should have professional skills to get a good job, which was different according to their ages. In addition, 51.4% students of dental technology department regarded the opportunities to exert their abilities as the most important element in choosing their jobs. That means students value self-decision and selfrealization when they choose their jobs. 4. The majority of students(32.9%) preferred to work at the dental laboratory in dental college hospital as their workplace. Moreover, seniors over age 21 wanted to work in the field of porcelain and juniors under age 20 preferred to work in the implant part concerning the field which students wants to work. 5. About 91.3% students have ever heard about overseas employment and wanted to work abroad if given the opportunities(77.5%). This points out students have much interest in overseas employment and positive attitude. And there was a difference according to age and grade in case of the preferred country when they work abroad 6. The main barrier to overseas employment was a lack of communication ability(63.0%), therefore, students thought foreign language education should be activated to improve overseas employment(26.0%). To show this more specifically, juniors thought foreign language education and internship are most important factors(both are 21.4% alike), while seniors thought foreign language education is essential(24.6%) as a way to improve overseas employment. Students also thought that participation in language study club helps to prepare for overseas employment(69.4%). When putting all these survey results together, it's very important to develop people in advance who have job ability and language ability necessary for overseas employment as well as to improve job awareness in the field of dental technology. Consequently, it's needed to seek for various ways to get a overseas job through foreign language education and overseas internship.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.24 no.2
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• pp.187-207
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• 2019

In order to develop a high performance ocean model, we used Julia, a Just-In-Time compile language, and to obtain the solution of the momentum equation, we made the code to solve the Poisson equation by the Successive Over-Relaxation method. And then we made two models to test Julia calculation codes. First, a simple channel form is modeled to test constant source/sink conditions. Second, the simplified Yellow Sea was modeled to test tidal forcing, Coriolis forces, and the effect of vertical eddy diffusivity coefficients. The model has been tested with a total of eight cases in the two scenarios. As a result of the test, the depth-averaged current speed of the three cases in Scenario 1 converged perfectly to the theoretical value, and that showed well a vertical flow velocity gradient due to the bottom friction. Also, the result of Scenario 2 represented well the amphidromic points of Yellow Sea and the tidal characteristics of mid-western and southwestern coast of Korea. Therefore, it is considered that the ocean model using Julia language has developed successfully, this suggests that the ocean model has come to the stage of successful transition from a classical compile language to a Just-In-Time compile language.

• 제어로봇시스템학회:학술대회논문집
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• 1988.10a
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• pp.457-461
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• 1988

In this study an one-board micom controlled precision temperature control system has been developed. The digital temperature control system is consisted of an one-board micom as digital controller, a 12-bit A/D and D/A converter, a power amplifier, a NTC thermister, a preamplfier and a heat chamber. An operating control program for the control system was written in Z80 machine language. A Dual-PID predictor control algorithm was proposed. Experments were conducted with different sampling time and limitted error value. As a result, the temperature in a heat chamber can be well controlled within +- 0.2 .deg.C when the sampling time was applied to 10 sec and the limitted error value +- 0.5 .deg.C under the dual-PID predictor control algorithm. By means of one-board micom overall system has been reduced in size and volume, thus the system becomes compact and less expensive.

• Journal of the Semiconductor & Display Technology
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• v.10 no.4
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• pp.95-100
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• 2011

This paper proposes a new method of vehicle brake lights detection and recognition using an R-filtering. Firstly, the proposed method processes the R-filtering with the first input image and then with the second one in order to detect brake lights. Secondly, the method counts the number of red pixels and computes the mean value in each R-filtered image. The difference rates between the numbers of the red pixels and between the mean values of two images are defined in this paper. Through the analysis of the difference rates, it can recognize whether brake lights are turned on or off, and whether the vehicle ahead is being approached or not. The proposed method is implemented using C language in an embedded Linux system for a high-speed real-time image processing. Experiment results show that the proposed algorithm is quite successful.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.45 no.2
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• pp.319-324
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• 1996

Using random pulse stream, a number can be transformed to the pulse stream with the probability value. So the digital value are computed by simple digital gates. Thus it will be possible to build a small and strong noise immunity processing element. We propose a faster convergence algorithm using a new methods for better performance of Random Number Generator(RNG) an the nonlinear transfer function(Sigmoid function)in this paper. And a feedback circuit were fitted for pulse stream in this paper. We proposed method is simulated with C program language and conformed by circuit implementation. Finally a system for hand written number recognition is constructed by FPGA and its performance verified.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.9
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• pp.1275-1278
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• 2021

Nowadays, fake news from newspapers and social media is a serious issue in news credibility. Some of machine learning methods (such as LSTM, logistic regression, and Transformer) has been applied for fact checking. In this paper, we present Transformer-based fact checking model which improves computational efficiency. Locality Sensitive Hashing (LSH) is employed to efficiently compute attention value so that it can reduce the computation time. With LSH, model can group semantically similar words, and compute attention value within the group. The performance of proposed model is 75% for accuracy, 42.9% and 75% for Fl micro score and F1 macro score, respectively.