• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.10
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• pp.2632-2649
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• 2012

Most approaches to human action recognition is limited due to the use of simple action datasets under controlled environments or focus on excessively localized features without sufficiently exploring the spatio-temporal information. This paper proposed a framework for recognizing realistic human actions. Specifically, a new action representation is proposed based on computing a rich set of descriptors from keypoint trajectories. To obtain efficient and compact representations for actions, we develop a feature fusion method to combine spatial-temporal local motion descriptors by the movement of the camera which is detected by the distribution of spatio-temporal interest points in the clips. A new topic model called Markov Semantic Model is proposed for semantic feature selection which relies on the different kinds of dependencies between words produced by "syntactic " and "semantic" constraints. The informative features are selected collaboratively based on the different types of dependencies between words produced by short range and long range constraints. Building on the nonlinear SVMs, we validate this proposed hierarchical framework on several realistic action datasets.

• The Transactions of the Korea Information Processing Society
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• v.6 no.8
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• pp.2253-2261
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• 1999

ACK generates optimized code using the string pattern matching technique in pattern table generator and peephole optimizer. But string pattern matching method is not effective due to the many comparative actions in pattern selection. We designed and implemented the EM intermediate code optimizer using tree pattern matching algorithm composed of EM tree generator, optimization pattern table generator and tree pattern matcher. Tree pattern matching algorithm practices the pattern matching that centering around root node with refer to the pattern table, with traversing the EM tree by top-down method. As a result, compare to ACK string pattern matching methods, we found that the optimized code effected to pattern selection time, and contributed to improved the pattern selection time by about 10.8%.

• Korean Journal of Human Ecology
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• v.18 no.1
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• pp.157-166
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• 2009

This study was conducted to evaluate the differences in external appearances and functional qualities between the slacks which were patterned on existing designs and on a new design in order to improve on their level of comfort of ready-made clothes for abdominally fat women. Five abdominally fat women in their 60's were chosen as experimental participants. Twenty-four external evaluation items, and seven different actions involving six moving parts of the body were investigated with a 5-level scale in the repeated wearing test. The results were analyzed by statistical methods. The newly designed pattern in this study was definitely superior to the other two patterns(L-type and K-type) on the external appearance evaluation. The newly pattern removed a waist belt and a dart from the front part of the garment and gave surplus space around the waist. It prevented superfluous wrinkles at the abdominal region and thighs. The superfluous wrinkles at the side regions also disappeared due to the length (inseam) reduction from waist to crotch. The newly pattern made the center-line of the back side slightly sloped to the main pattern in order to remove the drooped line. The newly pattern showed the highest score in the functional test of several actions. It was due to the reduction of the length from waist to crotch as well as the belt width. It made waist-line movement better, and made it easier and more comfortable to sit down. The newly pattern also showed the highest score in the functional test classified by specific movements of parts of the body for the same purpose. The slacks which were made of elastic materials showed better results than the non-elastic ones on external appearances and functional test items. It showed that the elastic materials played a better role in the increase of functional action of abdominally fat, aged women. This study suggests that the newly designed slacks pattern could give abdominally fat, aged women better external features and a more comfortable fitting sensation. As well, the results were significant as basic data to produce ready-made and/or tailer-made garments.

• Journal of Korean Medical classics
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• v.25 no.4
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• pp.23-38
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• 2012

Objective : Generally speaking Reverting yin disease pattern(厥陰病) is the last step in cold damage(傷寒). Therefore recognized Yin cold disease(陰寒病) is increasing, and resist action One Yang qi(一陽) began to creep into body. But Ke Qin(柯琴) have a different way of thinking that Reverting yin disease pattern connected with the loss of Liver's function. Liver qi depression(肝鬱) make a ministerial fire(相火), and it make a nutrient and blood insufficiency(營血不足). Method : I will try to describe the Sanghanlun's Reverting yin disease pattern through the Ke-qin's JueyinbingJie(厥陰病解), and I would like to point out that the exact meaning of Reverting yin(厥陰) is connected with Liver's ministerial fire. Result : Ke Qin's JueyinbingJie explained the Reverting yin disease pattern was connected with Liver(肝), and according to Six qi theory(六氣學說) connected with ministerial fire, and according to meridian and Collateral theory(經絡學說) connected with closing referring to inward actions(闔) among the Opening closing and pivot(關闔樞). Conclusion : Ke Qin was recognized that Reverting yin disease pattern have relevance to the loss of Liver's function. In other world, It is connect with soothe the liver and purge fire(疏肝瀉火) and nutrient and blood insufficiency(營血不足).

• Journal of Internet Computing and Services
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• v.10 no.2
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• pp.1-13
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• 2009

Intrusion detection is a process that identifies the attacks and responds to the malicious intrusion actions for the protection of the computer and the network resources. Due to the fast development of the Internet, the types of intrusions become more complex recently and need immediate and correct responses because the frequent occurrences of a new intrusion type rise rapidly. Therefore, to solve these problems of the intrusion detection systems, we propose a sequential pattern miner for analysis of the alert data in order to support intelligent and automatic detection of the intrusion. Sequential pattern mining is one of the methods to find the patterns among the extracted items that are frequent in the fixed sequences. We apply the prefixSpan algorithm to find out the alert sequences. This method can be used to predict the actions of the sequential patterns and to create the rules of the intrusions. In this paper, we propose an extended prefixSpan algorithm which is designed to consider the specific characteristics of the alert data. The extended sequential pattern miner will be used as a part of alert data analyzer of intrusion detection systems. By using the created rules from the sequential pattern miner, the HA(high-level alert analyzer) of PEP(policy enforcement point), usually called IDS, performs the prediction of the sequence behaviors and changing patterns that were not visibly checked.

• Journal of the Korean Society of Clothing and Textiles
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• v.41 no.4
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• pp.585-598
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• 2017

Sports climbing requires more maximum body motion range than any other sport. This study examined what element affects the actions of sports climbers and suggest an ideal pattern archetype to maximize function based on motion. The theoretical background included abstracted elements influencing clothing design by researching the body type of sports climbers and the motion of sports climbing. Along with the characteristic of climbing wear, this study also conducted a comparative analysis of sleeve patterns for sports climbing wear and general sports jackets, abstracting comparative parts that influence sports climbing wear design. To develop the final research archetype, research was done on 107 sports climbers in their 20s-30s that selected the top 3 brands and collected patterns as well. A research archetype was selected based on 3-D virtual clothing and developed into 4 different patterns with different sleeve cap heights. Appearance evaluation and a motion functionality evaluation were then conducted in order to select a final research archetype adequate for sports climbing based on evaluation findings. In addition, this study identified aesthetical problems of the final research archetype produced based on functionality that could suggest an archetype for a climbing jacket that could be visually satisfying through appearance evaluations and motion functionality evaluations.

• Proceedings of the KSRS Conference
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• v.2
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• pp.623-626
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• 2006

Group of genes controls the functioning of a cell by complex interactions. These interacting gene groups are called Gene Regulatory Networks (GRNs). Two previous data mining approaches, clustering and classification have been used to analyze gene expression data. While these mining tools are useful for determining membership of genes by homology, they don't identify the regulatory relationships among genes found in the same class of molecular actions. Furthermore, we need to understand the mechanism of how genes relate and how they regulate one another. In order to detect regulatory relationships among genes from time-series Microarray data, we propose a novel approach using frequent pattern mining and chain rule. In this approach, we propose a method for transforming gene expression data to make suitable for frequent pattern mining, and detect gene expression patterns applying FP-growth algorithm. And then, we construct gene regulatory network from frequent gene patterns using chain rule. Finally, we validated our proposed method by showing that our experimental results are consistent with published results.

• Journal of the Korean Home Economics Association
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• v.32 no.2
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• pp.231-244
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• 1994

After classifying into four groups according to each back-forms through the body measurement and the shilhouettes of photographys focused on 359 elderly women of 60 to 79 years old in order to set the measurements demanded of making the upper garments patterns for elderly women this study will show an analysis of the body and surface changes by all the actions for producing patterns in each types. And as the result of the sensory evaluation by making the testal clothings

• Journal of the Korea Safety Management & Science
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• v.8 no.2
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• pp.13-23
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• 2006

The present study has investigated the patterns and the causes of safety -accidents on the accident-data in semiconductor Industries through near miss report the cases in the advanced companies. The ratio of incomplete actions to incomplete state was 4 to 6 as the cases of accidents in semiconductor industries in the respect of Human-ware, Hard- ware, Environment-ware and System-ware. The ratio of Human to machine in the attributes of semiconductor accident was 4 to 1. The study also investigated correlation among the system related to production, accident, losses and time. In semiconductor industry, we found that pattern of safety-accident analysis is organized potential, interaction, complexity, medium. Therefore, this study find out that semiconductor model consists of organization, individual, task, machine, environment and system.

• Journal of the Institute of Electronics Engineers of Korea TE
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• v.42 no.3
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• pp.31-38
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• 2005

This paper proposes an implementation method of intelligent characters that can properly adapt to action patterns of opponent characters in fighting games by using genetic algorithm. For this intelligent characters, past actions patterns of opponent characters should be included in the learning process. To verify the effectiveness of the proposed method, two types of experiments are performed and their results are compared. In first experiment(exp-1), intelligent characters consider current action and its step of an opponent character. In second experiment (exp-2), on the other hands, they take past actions of an opponent characters into account additionally. As a performance index, the ratio of score obtained by an intelligent character to that of an opponent character is adopted. Experimental results shows that even if the performance index of exp-1 is better than that of exp-2 at the beginning of stages, but the performance index of exp-2 outperforms that of exp-1 as stages go on. Moreover, optimum solutions are always found in all experimental cases in exp-2. Futhermore, intelligent characters in exp-2 could learn moving actions (forward and backward) and waiting actions for getting more scores through self evolution.