• IEIE Transactions on Smart Processing and Computing
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• v.2 no.5
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• pp.282-296
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• 2013

With the emergence of cloud computing, more and more sensitive user data are outsourced to remote storage servers. The privacy of users' access pattern to the data should be protected to prevent un-trusted storage servers from inferring users' private information or launching stealthy attacks. Meanwhile, the privacy protection schemes should be efficient as cloud users often use thin client devices to access the data. In this paper, we propose a lightweight scheme to protect the privacy of data access pattern. Comparing with existing state-of-the-art solutions, our scheme incurs less communication and computational overhead, requires significantly less storage space at the user side, while consuming similar storage space at the server. Rigorous proofs and extensive evaluations have been conducted to show that the proposed scheme can hide the data access pattern effectively in the long run after a reasonable number of accesses have been made.

• Electronics and Telecommunications Trends
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• v.32 no.5
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• pp.10-19
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• 2017

A Telepresence service is an advanced video conferencing service at aimed providing remote users with the feeling of being present together at a particular location for a face-to-face group meeting. The effectiveness in this type of meeting can be further increased by automatically recognizing the audiovisual behaviors of the video conferencing users, accurately inferring their level of engagement from the recognized reactions, and providing proper feedback on their engagement state. In this paper, we review the recent developments of such engagement analysis techniques being utilized in various applications, such as human-robot interaction, content evaluation, telematics, and online collaboration services. In addition, we introduce a real-time engagement analysis framework employed in our telepresence service platform for an increased participation in online group collaboration settings.

• Transactions of the Korean Society of Mechanical Engineers
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• v.19 no.6
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• pp.1539-1544
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• 1995

Copper blow test to measure the forging capability of 35 ton counterblow hammer and upset of plasticine on the model hammer to investigate the change of the blow efficiency during the forging process have been performed together with finite element analyses of these experiments. The blow efficiency of the hammer has been found to be dependent on the friction and on the contact area between the die and the workpiece. The effects of the volume and the aspect ratio of the billet have not been found. Inferring from the experimental results and Schey's empirical formula on the forging load, we expect that the efficiency also varies with the flow stress of the workpiece material and with the shape complexity of the forging product.

• Journal of the Korea Furniture Society
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• v.16 no.1
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• pp.81-89
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• 2005

A chair is a necessary tool in modern life and people spend a lot of time on it. But there Ere so many chairs which the human body size Is not considered that many users usually feel fatigue. The purpose of this study is to analyze the fundamental items human factors engineering which have to be applied to chairs and then to make user choose chairs, considering them as an index. The extent of this study is limited to chairs for office work used for sitting for a long time to work. We also profoundly analyze functional matters of chairs, user's posture and so on. We'll present all suitable factors and the assumed tentative plan by inferring items', the function chairs have coincides with the human body.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.96-100
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• 2005

This paper studies the problem of inferring a chemical compound from a feature vector consisting of the numbers of occurrences of vertex-labeled paths, which has potential future applications for designing new chemical compounds based on the kernel methods. This paper shows that the problem for outerplanar graphs of bounded degree can be solved in polynomial time if an alphabet is fixed and the maximum length of paths and the number of edges of each face are bounded by a constant. It is also shown that the problem is strongly NP-hard even for trees of unbounded degree.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.237-242
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• 2005

Predicting the cellular location of an unknown protein gives a valuable information for inferring the possible function of the protein. For more accurate prediction system, we need a good feature extraction method that transforms the raw sequence data into the numerical feature vector, minimizing information loss. In this paper, we propose new methods of extracting underlying features only from the sequence data by computing pairwise sequence alignment scores. In addition, we use composition based features to improve prediction accuracy. To construct an SVM ensemble from separately trained SVM classifiers, we propose specificity based weighted majority voting. The overall prediction accuracy evaluated by the 5-fold cross-validation reached 88.53% for the eukaryotic animal data set. By comparing the prediction accuracy of various feature extraction methods, we could get the biological insight on the location of targeting information. Our numerical experiments confirm that our new feature extraction methods are very useful for predicting subcellular localization of proteins.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.7
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• pp.1435-1442
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• 2009

This paper proposes a music recommendation system for a driver in vehicle. The proposed system provides (selects and plays) a music to a driver in vehicle in real-time manner by inferring his preference based on physical, environmental, and personal information. Pulse data as physical information, age and biorhythm as personal information, and time as environmental information are used to infer a driver's and thus recommend a music. Experimental results showed that the proposed system could provide better satisfaction to a driver on the recommended music compared to the conventional approach.

• Journal of Korea Multimedia Society
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• v.2 no.4
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• pp.468-475
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• 1999

Learning algorithm of SRNN doesn't use analytic maximum epoch, so that its performance is inefficient and its cost is high. In this paper, with the proper maximum epoch, we improve teaming efficiency. We first describe cost function of maximum epoch and computation time theoretically Then, using it, we propose that maximum epoch must be between 400 and 500. Estimated maximum epoch is verified by experiment.

• ETRI Journal
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• v.33 no.1
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• pp.78-88
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• 2011

In this paper, we present the Touch Text exTractor (Touch TT), an interactive text segmentation tool for the extraction of scene text from camera-based images. Touch TT provides a natural interface for a user to simply indicate the location of text regions with a simple touchline. Touch TT then automatically estimates the text color and roughly locates the text regions. By inferring text characteristics from the estimated text color and text region, Touch TT can extract text components. Touch TT can also handle partially drawn lines which cover only a small section of text area. The proposed system achieves reasonable accuracy for text extraction from moderately difficult examples from the ICDAR 2003 database and our own database.

• Communications for Statistical Applications and Methods
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• v.7 no.2
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• pp.465-473
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• 2000

There is no progress in interpreting the correlation between the high school record and the scholastic aptitude test. This study gives the degree of the linearity between the high school record and the scholastic aptitude test by using the method of the individual scholastic evaluation which was proposed by Chung(1999). The limits of the individual scholastic evaluation are pointed out additionally in inferring the promising individuals having the high scores in the scholastic aptitude test so that the individual scholastic evaluation be used as reference materials when the colleges applying the comparative school record in the entrance exams.