• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권10호
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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.

• 한국정보처리학회논문지
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• 제6권8호
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• pp.2253-2261
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• 1999

ACK에서는 패턴 테이블 생성기와 핍홀 최적화기에서 스트링 패턴 매칭 기법을 이용하여 EM 중간 코드에 대한 최적화 코드를 생성한다. 하지만 이 스트링 패턴 매칭 방법은 패턴 결정 시에 반복적으로 많은 비교 동작이 이루어지므로 비효율적이다. 본 논문은 ACK의 중간 코드 최적화기를 개선하기 위해 EM 트리 생성기, 최적화 패턴 테이블 생성기, 트리 패턴 매칭기로 구성된 트리 패턴 매칭 알고리즘을 이용한 EM 중간 코드 최적화 시스템을 설계하고 구현하였다. 이러한 트리 패턴 매칭 알고리즘은 EM 트리를 하향식으로 순회하면서 트리 구조를 가진 패턴 테이블을 참조하여 루트 노드를 중심으로 패턴 매칭을 수행한다. 트리 패턴 매칭 동작은 궁극적으로 ACK의 스트링 패턴 매칭에 비해 최적화 패턴을 찾는데 걸리는 시간을 평균 10.8% 감소시킬 수 있는 효과를 보였다.

• 한국생활과학회지
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• 제18권1호
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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.

• 대한한의학원전학회지
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• 제25권4호
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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).

• 인터넷정보학회논문지
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• 제10권2호
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• pp.1-13
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• 2009

침입탐지란 컴퓨터와 네트워크 자원에 대한 유해한 침입 행동을 식별하고 대응하는 과정이다. 최근 인터넷의 급속한 발달과 함께 침입의 유형들이 복잡해지고 새로운 침입유형의 발생빈도가 높아져 이에 대한 빠르고 정확한 대응이 필요하다. 따라서 이 논문에서는 침입탐지 시스템의 이러한 문제점을 해결하기 위한 한 방안으로 지능적이고 자동화된 탐지를 지원하기 위한 경보데이터 순차 패턴 마이닝 기법을 제안한다. 제안된 순차 패턴 마이닝 기법은 기존의 마이닝 기법 중 prefixSpan 알고리즘을 경보데이터의 특성에 맞게 확장 설계하였다. 이 확장 설계된 순차패턴 마이너는 보안정책 실행시스템의 경보데이터 분석기의 일부분으로 구성된다. 구현된 순차패턴 마이너는 탐사된 패턴 내에서 적용 가능한 침입패턴들을 찾아내어 효율적으로 침입을 탐지하여 보안정책 실행 시스템에서 이를 기반으로 새로운 보안규칙을 생성하고 침입에 대응할 수 있다. 제안된 경보데이터 순차 패턴 마이너를 이용하여 침입의 시퀀스의 행동을 예측하거나 기술하는 규칙들을 생성하므로 침입을 효율적으로 예측하고 대응할 수 있다.

• 한국의류학회지
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• 제41권4호
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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.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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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.

• 대한가정학회지
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• 제32권2호
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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

• 대한안전경영과학회지
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• 제8권2호
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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.

• 한국산업융합학회 논문집
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• 제27권3호
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• pp.581-590
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• 2024

This study aims to extract key topics through text mining of incident records (incident history, post-incident measures, preventive measures) from construction safety accident case data available on the public data portal. It also seeks to provide fundamental insights contributing to the establishment of manuals for disaster prevention by identifying correlations between these topics. After pre-processing the input data, we used the LDA-based topic modeling technique to derive the main topics. Consequently, we obtained five topics related to incident history, and four topics each related to post-incident measures and preventive measures. Although no dominant patterns emerged from the topic pattern analysis, the study holds significance as it provides quantitative information on the follow-up actions related to the incident history, thereby suggesting practical implications for the establishment of a preventive decision-making system through the linkage between accident history and subsequent measures for reccurrence prevention.