• International Journal of Internet, Broadcasting and Communication
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• 제7권1호
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• pp.20-22
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• 2015

Recently, the study of smart phone user habits has become a highly focused topic due to the rapid growth of the smart phone market. Indeed, sequential pattern analysis methods were efficiently used for web-based user habit mining long time ago. However, by means of simulations, it has been observed that these methods might fail for smart phone-based user habit mining. In this paper, we propose a novel approach that leads to a considerably increased performance of the traditional sequential pattern analysis methods by reasonably cutting off each chronological sequence of user logs on a device into shorter ones, which represent the sequential user activities in various periods of a day.

• 한국컴퓨터정보학회논문지
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• 제20권11호
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• pp.9-16
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• 2015

We propose a hybrid pattern recognition method that effectively combines two different features for improving data classification. We first extract the PCA (Principal Component Analysis) and LDA (Linear Discriminant Analysis) features, both of which are widely used in pattern recognition, to construct a set of basic features, and then evaluate the separability of each basic feature. According to the results of evaluation, we select only the basic features that contain a large amount of discriminative information for construction of the combined features. The experimental results for the various data sets in the UCI machine learning repository show that using the proposed combined features give better recognition rates than when solely using the PCA or LDA features.

• 대한음성학회지:말소리
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• 제58호
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• pp.101-117
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• 2006

The development of efficient multimodal interfaces and fusion algorithms requires knowledge of usage patterns that show how people use multiple modalities. We analyzed multimodal usage patterns for TV-guide application scenarios (or tasks). In order to collect usage patterns, we implemented a multimodal usage pattern collection system having two input modalities: speech and touch-gesture. Fifty-four subjects participated in our study. Analysis of the collected usage patterns shows a positive correlation between the task type and multimodal usage patterns. In addition, we analyzed the timing between speech-utterances and their corresponding touch-gestures that shows the touch-gesture occurring time interval relative to the duration of speech utterance. We believe that, for developing efficient multimodal fusion algorithms on an application, the multimodal usage pattern analysis for the given application, similar to our work for TV guide application, have to be done in advance.

• 패션비즈니스
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• 제7권2호
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• pp.1-14
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• 2003

This study were to grasp the present situation of the pet wear market and the problem of pet wear, and to develop the pet wear pattern which agrees well to dog's shape and movements. We carried out survey research to analyze the actual pet wear market condition for a dog-lover, and movement analysis and sensory test to develop a pattern for Maltese which was the favorite dog among Korean. For data analysis, ANOVA with duncan test, T-test were conducted using SPSS statistic program(ver. 10.0). The results are as follows: 1. The results of the survey research, 75% of dog-lover had a pet wear and favorite was T-shirts. The problems of wearing T-shirts were 'too tight seam sleeve and bodice(front legs hole)', 'the clothes easily hang down' and 'easily taken off due to large neck size'. 2. The ease amount of the developed pattern was given according to the results of dog's shape and movement analysis, and the results of sensory test, there is a significant difference in the following items: depth of front neck line, front chest${\to}$abdomen curve, ease amount of sleeve, comfort level of leg parts. 3. The size of each parts of the developed pattern in this study were as follows : neck girth 27.0cm, body girth 40.0cm, back length 26.0cm, front leg girth 23.0cm, sleeve length 20.7cm, sleeve width 14.4cm. But, there exists some limits to generalize these results since dog's body size and shapes are various according to dog species. Therefore, further studies are needed to develop each pet wear pattern for each dog species.

• PNF and Movement
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• 제5권1호
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• pp.37-47
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• 2007

Objective : A large proportion of stroke survivors have to deal with problems in gait. Proper evaluation of gait must be undertaken to understand the sensorimotor impairment underlying locomotor disorders post stroke. Methods : The characteristics of gait pattern with post stroke are reviewed in this paper. In particular, temporal distance parameters, kimematics, kinetics, as well as energy cost, EMG are focused. Results : The technology for gait analysis is moving rapidly. The techniques of 3D kinematic and kinetic analysis can provide a detailed biomechanical description of normal and pathological gait. This article reviews gait analysis method and characteristics of post stroke. Finally current method of gait analysis can provide further insight to understand paretic gait and therapeutic direction.

• 한국생산제조학회지
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• 제6권1호
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• pp.92-99
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• 1997

Nowadays, Electronic Speckle Pattern Interferometry is a well-established measuring technique with a wide range of industrial applications, particularly in the fields of deformation measurement and vibration analysis. Comparing with holographic interferometry, it has some attractive features, which are rapid recording and reconstruction, satisfiable automation etc. The Time-Average ESPI is used to provide vibration mode shape of an object whose vibration amplitude is given as a fringe pattern. Its merit is rapid and simple measurement for vibrating object. However, it is not possible to determine the direction of motions of a point on the object at any given time, because it does not give any information about the phase of vibration. But, Stroboscopic ESPI can measure the amplitude and phase of vibrating surface. In this paper, loudspeakers were tested by these two methods. As a result, we can assume that these techniques will be applied directly in the loudspeaker industry.

• International Journal of Automotive Technology
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• 제1권1호
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• pp.26-34
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• 2000

The new numerical procedure for hydroplaning has been developed by considering the following three important factors; fluid/structure interaction, tire rolling, and practical tread pattern. The tire was analyzed by FEM with Lagrangian formulation and the fluid is analyzed by FVM with Eulerian formulation. Since the tire and the fluid are modeled separately and their coupling is automatically computed by the coupling element, the fluid/structure interaction of the complex geometry such as the tire with the tread pattern can be analyzed practically. We verified the predictability of the hydroplaning simulation in the different parameters such as the water flow, the velocity dependence of hydroplaning, and the effect of the tread pattern on hydroplaning. In order to predict the streamline in the contact patch, the procedure of the global-local analysis was developed. Since the streamline could be predicted by this technology, we could develop the new pattern in a short period based on the principle; "make the stream line smooth".

• 대한전자공학회논문지
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• 제21권4호
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• pp.17-23
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• 1984

A model analysis of pattern shift in the epitaxial growth of silicon on (111) substrates was performed. The growth rate anisotropy was considered as the most important affecting factor of pattern shift, and for the model establishment the off angle of the substrate and the process temperature were taken as the variables. We derived a theoretical equation of pattern shift by assuming the growth rate anisotropy as the trigonometric sine function of the off angle of the substrate and defining the growth rate anisotropy factor related to the process temperature. The pattern shift ratio calculated by this model had the same tendency with the experimental ones, which, however, were about twice greater than those. It was supposed that this discrepailcy was due to the second order affecting factor such as facetting and step broadening which had been exluded in model establishment.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2001년도 춘계학술대회 논문집
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• pp.1121-1124
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• 2001

In this study, we verify th effects of pattern density on interlayer dielectric chemical mechanical polishing process based on the analysis of Preston's equation and confirm this analysis by several experiments. Appropriate modeling equation, transformed form Preston's equations used in glass polishing, will be suggested and described the effects of this modeling during pattern wafer ILD CMP. Results indicate that the modeling is well agreed to middle density structure of the die in pattern wafer, but has some error in low and high density structure of the die. Actually, the die used in Fab, was designed to have a appropriate density, therefore this modeling will be suitable for estimating the results of ILD CMP.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2006년도 춘계학술대회 논문집
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• pp.375-376
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• 2006

Thermoplastic elastomer(TPE) can be molded by conventional injection molding. Therefore TPE injection molding could be analyzed by commercial flow analysis software. However there are a little of gaps on CAE simulation results and practical molding. In this study, the properties of TPE were measured and applied to CAE simulation for comparing the simulation flow pattern and real flow pattern. The pattern that was controlled by injection time was match. The pattern that was controlled by injection stroke and rate was not match.