• 가족자원경영과 정책
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• 제17권1호
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• pp.125-138
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• 2013

The purpose of this study is to determine which types of leisure activities promote happiness in young people. The ultimate goal of this study is to improve adolescents' levels of happiness and examine the academic and political challenges that occur in their social networks. In this study, subjects as "more than 4th grade of elementary school to less than a high school students". A sampling of the group was completed using a pre-percentage assignment and the data was analyzed according to gender and grade. The primary research method employed was internet research, and questionnaires were used as a secondary method of collecting information. The final analysis used 1.046 (final response rate 83.4%). The results of the present study were classified into the following four parts: social network and the characteristics of youths' subjective happiness; leisure activities according to the type of social network; differences in the level of subjective happiness organized according to the type of leisure activity; and the relative influence of variables that affect the level of subjective happiness. In conclusion, there is a strong correlation between social relationships, leisure activities, and youth's subjective happiness. An analysis of the difference in the level of subjective happiness according to the type of leisure activities of adolescents confirmed that the type of active participation in leisure and the type of indoor and outdoor activities variety were the highest in terms of contributing to the level of subjective happiness. Generally, a discussion of how the existing leisure life affects the subjective happiness of young people needs to be taken one step further. This difference was significant because the level of subjective happiness was confirmed according to the type of leisure activities. In addition, this study determined that leisure activities have an effect on subjective happiness and positively impact young people.

• 한국빅데이터학회지
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• 제5권1호
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• pp.55-63
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• 2020

본 연구는 서울시에서 발생한 포스퀘어 사용자의 체크인 데이터를 이용하여 위치 기반 소셜 네트워크 사용자의 집단적 활동 군집을 발견하는 방법을 제안하였다. 집단적 활동 군집을 발견하기 위하여 순차 규칙 마이닝을 통해 활동의 순차 규칙을 생성하고, 그 규칙을 기반으로 활동 네트워크를 구성하였다. 활동 네트워크를 분석하여 네트워크의 구조와 허브 활동을 확인하였고 군집 분석을 실시하여 활동 군집을 분류하였다. 본 연구는 위치 기반 소셜 네트워크 사용자의 활동에 대한 전환 패턴을 분석한 이전 연구들과 달리 연속적인 여러 활동의 전체적인 구조와 군집을 분석하는 데 초점을 맞추었다. 본 연구에서 제안한 방법을 이용하여 파악할 수 있는 허브 활동과 활동 군집은 위치 기반의 서비스나 마케팅에 활용할 수 있을 것이다. 또한 바이러스 감염과 관련된 업무나 도시 정책과 같이 공공부문에서 사용할 수도 있을 것이다.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 1993년도 추계학술대회발표논문집; 서강대학교, 서울; 25 Sep. 1993
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• pp.175-184
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• 1993

Modeling the production process is a necessary and essential aspect of the production planning. This paper introduces a theoretical model of the multi-stage production process. A multi-stage production process is regarded as a network of interrelated production activities which use system exogenous inputs of goods in production and the intermediate products transfers between activities to produce final products. Our model is characterized by (1) a few of the production-related assumptions and (2) two types of elements "goods and activities" that are represented in terms of the network terminology. This model is different from the another multi-stage production models, so-called production network models in relation to the production-theoretical concept. It is not based on the concept of the production correspondence and the activity production functions, but the technology model of Koopmans. Koopmans.

• 한국정보시스템학회지:정보시스템연구
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• 제23권1호
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• pp.93-109
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• 2014

This study aims to develop a rich understanding of user goals in user-empowering information technologies which have been dominating part in the information systems environment. A particular focus is on users' goals in a social network site (SNS) which is a typical example of user-empowering technologies. Users conduct various activities in order to achieve diverse goals in SNS. Thus, investigating what goals users pursue in SNS will give insights into understanding the users. We employed the laddering interview technique and means-end chain approach. Interviews of 50 Facebook users were analyzed to produce a hierarchical goal map showing users' goal structure. The map contains 18 goals, including self-reflection, psychological stability, belongingness, improving productivity, and amusement as ultimate goals in SNS. In the map, there are varied routes from activities to ultimate goals in SNS; that is, a complex assembly consisting of activities and goals. The findings call the information systems research community to have more interests in diverse goals and values users seek with technologies.

• 아동학회지
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• 제27권4호
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• pp.165-184
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• 2006

This ethnography explored the construction of a social network and its function in a classroom of toddlers in a day-care center located in Vermont. The classroom activities of 9 two-year-old toddlers were observed for about two months, compiled and categorized. Then, the themes of psychological functions were reconstructed in data analysis. Results showed that toddlers constructed multiple relations with all peers beyond the dyadic. They also transmitted information to teachers as well as peers in indirect ways. These direct-multiple interactions as well as indirect interactions reflect the social network of Lewis' (2005) theory. In the construction of social networks, the toddlers developed communication skills, turn-taking skills, leadership, and imitation.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.91-96
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• 2022

Article materials reflect the results of scientific research and generalization of experience concerning quality measurement of student's educational activities in the context of innovative development of the educational process, which is ensured by introducing educational innovations. The main point of monitoring of higher education students' activities and also phenomenon of education quality, particularly its results, are determined in the research. Guided by the scientific theory and personal experience of scientific and pedagogical activities, the attempt to single out the key components, important indicators and to introduce component indicator model of quality of higher education students' activities on the qualimetry base has been performed. Methodical solutions concerning the application of the developed model to determine the dynamics of pedagogical students' educational achievements by particular educational components in the process of innovative development of educational process are proposed. The advanced studies that relate to the development of methods for monitoring the quality of pedagogical higher education students' activities on the basis of systemic, competence and qualimetry approaches taking into account the levels of education and chosen specialties have been decided.

• 한국언론정보학보
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• 제67권
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• pp.62-87
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• 2014

이 연구는 현재의 디지털기술과 연결된 사진행위를 이해하기 위한 협업적 연구이며 동시에 자기민속지학 방법을 이용해 연구의 자기 치료적 효과와 지식의 권력관계를 엿볼 수 있는 기회도 제공한다. 두 연구자는 디지털 카메라, SNS, 스마트폰과 같은 디지털미디어를 이용하는 사진행위가 갖는 의미를 개인의 정체성 구성, 개인적 삶의 다큐멘터리 만들기라는 관점에서 접근했다. 그 결과, 디지털 사진을 다큐멘트가 아닌 아카이브로 볼 수 있으며 디지털 사진행위를 ANT의 관점에서 인간과 비인간 행위자들의 네트워크 형성과 변화의 과정이라고 이해할 수 있다는 것을 발견했다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2008년도 추계종합학술대회 B
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• pp.265-269
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• 2008

Home health care with compact wearable units sounds to be a convenient solution for the elderly people living independently. This paper presents a method to detect fall from the other activities of daily living and also to classify those activities. This kind of ambulatory monitoring enables them to get an emergency help in the case of the fatal fall event and can provide their general health status by observing the activities being performed in daily life. A tri-axial accelerometer sensor is used to get the acceleration anomalies associated with the user's movements. The three axis acceleration data are transferred to the base station sensor node via an IEEE 802.15.4 compliant zigbee module. The base station sensor node sends the data to base station PC for an offline processing. This work shows the feature set preparation using the principal component analysis (PCA) for the designing of neural network. The work includes the most common activities of daily living (ADL) like Rest, Walk and Run along with the detection of fall events from ADL. The angle from the vertical is found to be the most significant feature parameter for classification of fall while mean, standard deviation and FFT coefficients were used as the feature parameter for classifying the other activities under consideration. The accuracy for detection of fall events is 86%. The overall accuracy for ADL and fall is 94%.

• 한국정보기술응용학회:학술대회논문집
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• 한국정보기술응용학회 2005년도 6th 2005 International Conference on Computers, Communications and System
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• pp.139-142
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• 2005

Recently research interest in Knowledge Management (KM) has grown rapidly. Companies regard intellectual capital as important asset and strive to deploy KM in an organization to gain a competitive edge. Many organizations currently engage in knowledge management in order to leverage knowledge both within their organization and externally to their shareholders and customers. Most of the previous research related to KM are dedicated to investigate the role of information technology in extracting, capturing, sharing, coverting organizational knowledge. Knowledge workers, however, are paid less attention though they are the key players in KM activities such as knowledge creation, dissemination, capture and conversion. We regard knowledge workers as a major component of KM and starting point of understanding organizational knowledge activities. Therefore we adopt a method to understand and analyze knowldge workers' social relationships. In this paper we investigate Social Network Analysis (SNA) as a tool for analyzing knowledge network. We introduce the basic concept of SNA and suggest a framework for implementing knowledge network by explaining how SNA can be used for analyzing knowledge network. We also propose a numerical method for identifying knowledge workers using SNA after classifying knowledge workers. The suggested method is expected to help understanding key knowledge players within an organization.

• 인터넷정보학회논문지
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• 제12권2호
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• pp.113-122
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• 2011

최근, 온라인상에서 사용자간 관계형성 및 커뮤니케이션을 지원하는 Social Network Service(SNS)들이 주목을 받고 있다. SNS에서 형성되는 사용자 정보와 그들의 활동에 대한 정보는 사용자에 대한 특징적인 정보로서 추천과 같은 외부서비스에서 재사용될 수 있는 유용한 정보로 여겨진다. 기존의 사용자 기본 프로파일 정보를 통한 분석이나, 친밀도 및 유사도를 도출하기 위한 단편적인 분석 방법은 가공된 정보의 활용에 있어 한계점을 지닌다. 본 논문에서는 사용자의 SNS활동들로 부터 사용자간 상호영향을 도출하고 다차원 상호관계(Multi-dimension interaction)를 표현 할 수 있는 통합 된 프로파일 모델을 정의하고 이를 도출하기 위한 시스템을 제안한다. 제안된 시스템은 대표적인 SNS인 트위터(Twitter.com)부터 사용자 정보를 수집하여 정보의 재가공을 수행한다. 본 논문의 실험에서는 가공된 정보를 통해 얻을 수 있는, 기존 방식에서는 드러나지 않던 사용자간의 새로운 관계들에 대해 설명한다. 가공된 정보는 특정 사용자의 통합 프로파일로서 컨텐츠 아이템 추천과 같은 외부서비스에서 활용가능 할 것으로 기대된다.