Chin S.,Sungkyul University |
Kim K.-Y.,Wayne State University
Computers in Industry | Year: 2010
To realize truly customer-oriented wearable products, individual users' unique characteristics and features should be properly captured and represented. This research focuses on an efficient methodology to generate low polygonal virtual human face models, which overcome the limitation of existing high polygonal models. To determine individuals' characteristics in the conceptual design stage of wearable products. A computerized and personalized 3D facemodel should be efficiently generated and be able to interact with wearable products. This research formulates a computerized 3D face via a 3D feature-based transformation. The developed algorithm is able to concisely and efficiently create a 3D face by using frontal and lateral pictures of users. The performance of this algorithmis well adapted both to typical PCs and to mobile devices. The generated virtual face models can serve as communication media in a multidevice based collaborative design environment. Through experiments, the validity of the proposed modeling method is considerably acceptable with respect to the quality of the similarity between 3D faces and individual pictures. Finally, this paper discusses how the developed personalized face modeling can be successfully utilized for customer-oriented wearable product design by showing compatible matching of a hairstyle product as a user study. © 2010 Elsevier B.V. All rights reserved.
Loh W.-K.,Sungkyul University |
Moon Y.-S.,Kangwon National University |
Srivastava J.,University of Minnesota
Information Sciences | Year: 2010
Efficient processing of streaming time-series generated by remote sensors and mobile devices has become an important research area. As in traditional time-series applications, similarity matching on streaming time-series is also an essential research issue. To obtain more accurate similarity search results in many time-series applications, preprocessing is performed on the time-series before they are compared. The preprocessing removes distortions such as offset translation, amplitude scaling, linear trends, and noise inherent in time-series. In this paper, we propose an algorithm for distortion-free predictive streaming time-series matching. Similarity matching on streaming time-series is saliently different from traditional time-series in that it is not feasible to directly apply the traditional algorithms for streaming time-series. Our algorithm is distortion-free in the sense that it performs preprocessing on streaming time-series to remove offset translation and amplitude scaling distortions at the same time. Our algorithm is also predictive, since it performs streaming time-series matching against the predicted most recent subsequences in the near future, and thus improves search performance. To the best of our knowledge, no streaming time-series matching algorithm currently performs preprocessing and predicts future search results simultaneously. © 2009 Elsevier Inc. All rights reserved.
Seo D.,Sungkyul University
Journal of Internet Banking and Commerce | Year: 2016
The E-car and IT industry can be good examples to realize growth potential by amalgamating technology and capital of the EU with high-quality labor force (not the consumption but the Innovation) and Hub-Spoke market of emerging economies of the CEEC. They started to apply the membership of EU since 1998. The EU accommodated 10 nations as new members of EU in May of 2004 as they fulfilled the requirements of the ‘Copenhagen Convergence Condition’. The EU would like to realize its potential trade and investment opportunities with the CEEC from this enlargement. Since the crisis of the global finance or IT like Nokia in 2008, they have focused on the Innovation and consumption. The paper analyzed the impact for the Innovation and Consumption of Eastern enlargement of EU on trade, investment and technology cooperation patterns of Korea to formulate a pan-European marketing strategy with a special emphasis on the mobile phone industry or motorcar. This is why a new collaborative workplace has enabled the creation of hubs in the emerging regional small markets (Visegrad + Eastern European-Balkan countries) and the central large markets (Germany + CEE). But TNCs may even be merged by mega-innovative companies in the pan-European marketing unless they successfully adapt the changing patterns of demand in according to new commercialization of competing firms. The public policy in a knowledge-based economy is required to shift the role of restraining to fostering in terms of promoting linkage effect for avoiding the chasm. © Daesung Seo, 2016.
Kim S.-Y.,Sungkyul University |
So W.-Y.,Seoul Womens University
Journal of Sports Science and Medicine | Year: 2012
Increased physical activity (PA) is the relationship with improved cognitive and memory functions of the brain. The physical education (PE) classes held in school comprise a type of PA. However, there is no epidemiological evidence showing a relationship between school performance and the number of PE classes attended per week in adolescent students. Therefore, the purpose of this study is to examine whether the number of PE classes attended per week is related with school performance in Korean adolescent students. In 2009, 75,066 adolescent students from middle school first grade to high school third grade participated in the 5th Korea Youth Risk Behavior Webbased Survey (KYRBWS-V) project. The relationship between school performance and the number of PE classes attended per week was assessed using multivariate logistic regression analysis after adjusting for covariate variables such as gender, age, body mass index, parents' education level, family's economic status, vigorous and moderate PA, and muscle strengthening exercises. The odds ratio (OR) for attending <3 PE classes per week and school performance was 1.125 for good school performance, 1.147 for average school performance, 1.146 for poor school performance, and 1.191 for very poor school performance, when compared to very good school performance. It was concluded that attending ≥3 PE classes per week was positively correlated with improved school performance and that attending <3 PE classes per week was negatively correlated with school performance in Korean adolescent students. © Journal of Sports Science and Medicine.
Kim M.,Sungkyul University
Journal of Supercomputing | Year: 2016
With the development of web, the amount of information from science and technology is generated and managed in web environments. Then, many researchers are interested in the extracting and analyzing scientific issues from various science data. The proposed approach analyzed the issue keywords from metadata in research projects. Furthermore, we extracted the related science data, such as paper and patent, from science document database. The proposed approach performed social network analysis between typical science data. It generated the clusters which represent the scientific topics with time divisions. Moreover, we could deduce the relationship between science data and social data, such as newsletter and blog data. © 2016, Springer Science+Business Media New York.
Ko H.-K.,Sungkyul University
Lecture Notes in Electrical Engineering | Year: 2015
Secure dissemination of XML document is becoming a crucial requirement for many Web-based applications. By secure dissemination, we mean that the delivery of information to users must obey the access control policies. In this paper, we present an approach for the secure dissemination of web contents for users. Our approach uses a labeling scheme that protects the private information of web contents for users. Our experiment results show that the proposed approach is efficient protecting the private information. © Springer-Verlag Berlin Heidelberg 2015
Chung M.,Sungkyul University
Multimedia Tools and Applications | Year: 2015
In this paper, we proposed the effective short-distance transmission of advertisements for smart-devices using high-frequencies that are not audible to humans. The existing methods, such as QR codes and NFC tags, for advertisement transmission are problematic, since a specific action is required of the user to obtain the advertising information. Furthermore, only a very near distance is used for advertisement data detection in this case. Alternatively, because the proposed method uses inaudible trigger signals and analyzes the signals using an internal speaker in a smart-device, it can mitigate the above-mentioned challenges of the existing methods. It does not require a specific action of the user to obtain the advertising information and it can be used at a short distance. To evaluate the efficacy of the proposed method, we developed trigger signals, which used the proposed method, for sending and receiving applications. We subsequently tested the developed applications in various situations and at various distances. The success rate of the proposed method was approximately 97 %. We also conducted a survey about user convenience; when they used the proposed method or the QR code, we knew that the proposed method was more useful and convenient than the QR code. Therefore, the proposed method is an effective technique for supplying short-distance advertising information to smart-device users. © 2015 Springer Science+Business Media New York
Kim Y.S.,Sungkyul University
Expert Systems with Applications | Year: 2010
In this article, the performance of classification methods was empirically compared while varying the number of classes of dependent variables, the number of independent variables, the types of independent variables, the number of classes of the independent variables, and the sample size. Our study employed 324 simulated examples, with artificial neural networks and decision trees as the data mining techniques, and logistic regression as the statistical method. In the performance study, we use the misclassification errors as the metric and come up with some additional findings: (i) for continuous independent variables, a statistical technique (i.e., logistic regression) was superior to data mining techniques (i.e., artificial neural network and decision tree) when dependent variable has binary values, while the artificial neural network was best when the number of classes of dependent variable was three or more; (ii) for continuous and categorical independent variables, logistic regression performs better than artificial neural network and decision tree in the case of small number of independent variables and small sample size, while artificial neural network was best in other cases; and (iii) the artificial neural network performance improved faster than that of other methods as the number of independent variables and the number of classes of dependent variables increases. © 2009 Elsevier Ltd. All rights reserved.
Kim S.-G.,Yonsei University |
Yun G.-H.,Sungkyul University |
Yook J.-G.,Yonsei University
IEEE Transactions on Microwave Theory and Techniques | Year: 2012
In this paper, a compact vital signal sensing method using oscillation frequency deviation at 2.4-GHz industrial-scientific-medical band is proposed to detect vital signals, such as heartbeat and respiration signal. The oscillation circuit of the proposed vital sensor system has been realized by a planar resonator, which functions as a positive feedback element, as well as a near-field radiator to sense vital signals, simultaneously. The periodic movement of a body by respiration exercise causes the impedance variation of the radiator within the near-field range. The impedance variation results in a corresponding change in the oscillation frequency, and this variation has been utilized for sensing of the vital signals. In addition, a surface acoustic wave filter and power detector have been used to increase the sensitivity of the system and to transform the frequency variation to voltage waveform. The experimental results show that the proposed vital sensor placed 20 mm from the body can detect the heartbeat waveform very accurately. © 2006 IEEE.
Chung M.,Sungkyul University
Proceedings - 2016 IEEE 1st International Conference on Internet-of-Things Design and Implementation, IoTDI 2016 | Year: 2016
In this paper, we propose a new method for one-tomany data transmission in smart devices at close range. Existing methods require the use of an extra application service where the operating system differs between smart devices. In contrast, the proposed method makes use of the smart device's built-in speaker and microphone to confirm the transmission signal. Data is then transmitted via Wi-Fi or long term evolution. The proposed method therefore overcomes operating system issues with existing methods. Besides, BUMP technology works in a similar way to the method we propose, it only supports one-toone transmission. To evaluate the efficacy of the new method, we tested one-to-many data transmission in an experiment: the results showed a 96% success rate. As a result, we believe that the proposed method is an effective tool for one-to-many data transmission for smart devices at close range. © 2016 IEEE.