The increasing interests on patents have led many individuals and companies to apply for many patents in various areas. Applied patents are stored in the forms of electronic documents. The search and categorization for these documents are issues of major fields in data mining. Especially, the keyword extraction by which we retrieve the representative keywords is important. Most of techniques for it is based on vector space model. But this model is simply based on frequency of terms in documents, gives them weights based on their frequency and selects the keywords according to the order of weights. However, this model has the limit that it cannot reflect the relations between keywords. This paper proposes the advanced way to extract the more representative keywords by overcoming this limit. In this way, the proposed model firstly prepares the candidate set using the vector model, then makes the graph which represents the relation in the pair of candidate keywords in the set and selects the keywords based on this relationship graph.

For design research of teenagers' posture correcting shirt, postures of teenagers were analyzed and became the base of inventing suitable patterns. The subjects of this study were 198 of both female and male middle school students from the city of Seoul. Students' postures in classroom and length change of body surface were observed and analyzed; based on this, total of 5 postures was selected, and length changes of body surface were applied. The patterns in this study were designed with stretch material to help antagonism by muscle movements. Each fabric that was used in this study had 110% of stretch, 120~140% of stretch, and 150~170% of stretch. Both of one-way-fabric and duplex-fabric were used in this study, depending on application site.

As Internet has been wildly spreaded and it's technique is advanced, the use of computers has been routinized and almost data are stored in computers. Accordingly, many companies and researchers have tried to find the relations in these tremendous data and the one way is to use clustering algorithm which is used to find out similar data set in the entire data set and to discover the common properties. In early period, clustering algorithm was performed based on a main memory of a computer and PAM(Partitioning Around Medoids) was representative, which can be complemented k-means algorithm defeat. PAM performs clustering by using the medoid of data instead of means. PAM works well in small data set but it is difficult to apply it to large data set. Therefore, CLARA(Clutering LARge Application) shows up to be used in large data set. This algorithm samples data from large data set and applies PAM to the sample data. CLARA has limits caused by the fixed samples in each clustering stage and has a problem that if the good mediod is not sampled then the result of the clustering becomes not good. CLARANS(Clustering Large Application based upon Randomized Search) overcomes these problems by drawing a sample with some randomness. This algorithm executes clustering using k mediod set extracted in the processing of clustering in each stage. The main objective is to compare and analyze the algorithms which are popularly used for the clustering of big data.

Globally, smart phones have been rapidly distributed, which has led to changes in people's life cycle. Most people who are under 60 are supposed to use smart phones. Additionally, as the ratio of people who are interested in physical exercise is increasing, some applications for smart phones can manage dividual's exercise with the web servers. However, most of them can only check how much individual works out and cannot compare other's body type and life environment. Moreover, users cannot share their own data with others. This paper proposed the system which can resolve those kinds of problems through data mining techniques. The suggested model will have ability to figure out the relation between body type and the amount of exercise, find out if his work is proper from the result of classification and can pick out the features which is common to people who have similar body type and the amount of workout by applying data mining techiques. This model also will be able to recommend the proper amount of workout to each individual in order that they keep good health state efficiently.

국가 또는 단체가 기후변화에 대응하기 위해서는 온실가스 배출량을 정확하게 파악하고, 실현가능한 감축목표를 설정한 뒤, 각 세부 분야에서 효과적인 감축전략 및 계획을 세워야 한다. 탄소발자국은 인간의 활동이 환경에 어떠한 영향을 미치는가를 나타내는 지표이다. 탄소발자국을 계산하기 위해서는 직접 영역과 간접 영역으로 세분화하여 계산하여야 한다. 본 연구에서는 단위 범위 차원의 탄소발자국 계산 방법을 연구하였다.

There are some definitions of cloud computing but it can be defined as utilization of personal computers, servers and softwares in one cluster for approaches to the use of shared computing resources. Nowadays the applications of cloud computing are rapidly increasing because of its merits on economic aspect, connectivity convenience, storage space and so on. The main objective of this paper is to find an effective methodology as an initial stage for applications of cloud computing in a real life. Therefore this paper addresses worldwide reviews on cloud computing.

Most countries have been focused on the CDM(Clean Development Mechanism). According to Wikipedia, the free encyclopedia, CDM is an arrangement under the Kyoto Protocol allowing industrialized countries with a greenhouse gas reduction commitment to invest in projects that reduce emissions in developing countries as an alternative to more expensive emission reductions in their own countries. There are many environmental problems which resulted from development of IT field. The main objective of this paper is to find an effective methodology as an initial stage for applications of green IT in a real life. Therefore this paper addresses worldwide reviews on green IT products.

Nowaday mobile phone is an essential item for convenient daily life. Mobile phone enables us to obtain a lot of necessary and important things such as communication, information, leisure and entertainment. As the technology of mobile phone has been developed, the function of mobile phone can be compared to small computer. Customer's need of mobile phone has been varied and changed according to individual taste and preference. The main purpose of this research is to analyze priority of mobile phone brands using evaluation method of intangible assets with five major brands.

The main purpose of this paper is to analyze preference of consumers on mobile devices. Preference analysis was performed on five major brands with five aspects such as commercial image, price, design, function and durability. The result of this study will be helpful for manufactures of mobile devices.

Nowadays ubiquitous sensor network (USN) has been considered as a key technique in all kinds of industrial area. The main purpose of this study is to search and analyze systems in real industrial fields based on USN. USN technique has been applied into various industrial fields such as ground/underground management system, visitor counter system, monitoring system, unmanned vehicles system and so on. The result of this study will be fruitful not only for researches but also for practices in industrial fields related to USN.

Recently ubiquitous sensor network(USN) technique has been applied into various industrial fields such as construction of u-city, civil and architectural engineering, medical areas. The main objective of this paper is to design a u-health system based on USN. Compared to the previous researches, the proposed system in this paper was designed to activate with collected information about health in outdoor environment.

Somatotype is a very important factor for the comfortable and safe work environments. Many researches are trying to find the characteristics of somatotype according to age. Thus, the main objective of this study is to analyze somatotype of male residents in Seoul. The data used in this study included 267 men subjects who are living in Seoul. In order to analyze a detailed somatotype of citizens, age groups are divided into six groups. In order to compare and analyze data, Coefficient of Variance, Cronbach's Alpha, Rohrer Index and Drop Value were used in this study. The results of this study can be applied to the comfortable and safe work environments for workers.

본 연구에서는 소비자들이 선호하는 휴대폰 제조사 브랜드를 평가하기 위하여 무형 자산 평가기법을 적용하여 비교 분석 하였다. 기존의 연구는 기초적인 통계적 사실에 근거하여 단편적으로 평가를 하였다. 하지만 휴대폰 제조사 선호도 평가는 무형자산 평가와 깊은 관련이 있다. 따라서 본 연구에서는 기존 연구와는 다르게 무형자산 평가기법을 적용하여 휴대폰 제조사 브랜드 선호도를 평가하고자 한다.

The main objective of this study is to find factors and typical characteristics on outbreak of musculoskeletal disorders in small sized companies which are located at eastern area in Kangwon-Do. Musculoskeletal disorders are becoming a serious problem in various industrial fields. Many researches have been focused on the analysis on outbreak of musculoskeletal disorders in order to reduce and prevent them. As a similar endeavor, this paper provides factor analysis on outbreak of musculoskeletal disorders. Questionnaire surveys regarding musculoskeletal disorders were conducted for the total number of 250 field workers. For the purpose of this study, seven independent variables(gender, age, career, housework, accident, trouble, and pain) are taken from questionnaires. The provided analysis result will be helpful as a starting point for root cause analysis and reduction of musculoskeletal disorders and also for establishment of safe work environments.

Recently, the development of technology has been rapidly proceeding with information technology in various fields. Due to their abstract properties, proper evaluation of intangible assets is very difficult compared to evaluation of tangible assets. Intangible assets are knowledge, technology, and design etc. In general there are two approaches to evaluate the intangible assets such as qualitative and quantitative approach. The qualitative approach contains scoring approach, profile approach, checklist approach, and quantitative approach. Quantitative approach contains cost approach, market approach, income approach, and real-option approach. As an initial step for evaluation of safe work environments, this study compares and analyzes evaluation methods of intangible assets.

Recently, obesity that is increasingly becoming a major cause of various diseases and safety accidents in work places is emerging as a serious social problem. It is due to economic growth and improvement of living environments. Many researches are trying to find the root cause of obesity. Thus, the main objective of this study is to analyze obesity index of citizens in Seoul which is a metropolis of Korea and a densely populated district. The data used in this study included 179 men and 152 woman subjects who are living in Seoul. Somatotype using Rohrer Index can be classified by 3 types (thin, standard, obesity). In order to analyze a detailed somatotype of citizens, age groups are divided into 30~34, 35~39, 40~49, and 50~59 years according to gender, respectively. In order to compare and analyze data, Coefficient of Variance, Cronbach's Alpha, Rohrer Idex and Drop Value were used in this study. The results of this study can be applied to the comfortable and safe work environments for workers.

Ultimate goal of this research is to develop a web-based forecasting system of industrial accidents. As an initial step for the purpose of this study, this paper provides a comparative analysis of 4 kinds of algorithms including CHAID, CART, C4.5, and QUEST. In addition, this paper presents the logical process for development of a forecasting system. Decision tree algorithm is utilized to predict results using objective and quantified data as a typical technique of data mining. The sample for this work was chosen from 10,536 data related to manufacturing industries during three years(2002~2004) in korea.

The main objective of this study is to provide numerical guideline for size establishment of safety shoes about adult men(over 20 years) compared to physical standards of nation (report published in 1997). The sample for this work was chosen from data which were collected and measured by Size Korea during two years (20032004). In order to analyze and compare features of men's foot, analysis was performed about 1,685 subjects on 2 parts such as foot length and foot circumference. For the specific comparison on foot size, Mollison's comparison graph was used. The result of this study can be applied in manufacturing and design of shoes and socks. Also, it will enable us to have fruitful information on considerable items during manufacturing and design of safety shoes.

Nowadays obesity has been become a serious social issue. Many researches are trying to find the root cause of obesity. Obesity causes various kinds of disease and safety accidents in work places. Thus, the main objective of this study is to analyze obesity index of citizens in Seoul which is a metropolis of Korea and a densely populated district. In order to analyze a detailed somatotype of citizens, age groups are divided into 30-34 years, 35-39 years, 40-49 years, and 50-59 years according to gender respectively. The result of this study can be applied to the comfortable and appropriate design for workers.

There are two parts(middle and southern) according to dividing line of district in Korea. Middle part contains Kang Won, Chung Chung, Gyeong Gi, Seoul, In Cheon and Dae Jeon. Southern part contains Gyeong Sang, Jeol La, Je Ju, Bu San, Dae Gu, Ul San, and Gwang Ju. It is known that there are some differences between middle and southern part on weather. The climatic differences might affect human body. Thus, the mall objective of this study is to analyze effects of climatic differences which influence somatotype characteristics on residents in two regions. In order to compare and analyze data, Rohrer index and drop-value were used. Also, this paper provides typical ratios according to dividing line of district.