• 한국문헌정보학회지
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• 제38권3호
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• pp.277-296
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• 2004

본 논문에서는 대학 도서관 경영환경의 변화가 정보서비스에 미치는 영향을 분석하였다. 이를 위해 문헌적 연구를 바탕으로 인적자원, 정보자원, 시설, 예산, 정보기술의 제 영역에서 경영환경 변화에 따른 정보서비스에 영향을 미치는 요인들을 살펴보았다. 또한 실증적인 검증을 위하여 대학 도서관에 근무하고 있는 사서들을 대상으로 설문 조사를 실시하였다. 그 결과. 대학도서관이 정보서비스를 제공하는데 있어서 첫째, 인적자원 요인, 둘째, 정보기술 요인, 셋째, 시설 요인 순으로 많은 영향을 미치고 있는 것으로 조사되었다.

• 아동학회지
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• 제37권3호
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• pp.95-110
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• 2016

Objective: The purpose of this study was to develop and examine the psychometric properties of the Client Satisfaction Questionnaire on multicultural family support services. Methods: The Client Satisfaction Questionnaire was designed to address key elements of the client's satisfaction with the services (i.e., family education, gender equality education, human right education, and social integration education) provided for multicultural families. The nationwide data were collected from 5,335 clients who participated in family education, 4,582 clients who participated in gender equality education, 4,777 clients who participated in human right education, and 5,547 clients who participated in social integration education at the multicultural family support center. Results: In general, the psychometric properties of the Client Satisfaction Questionnaire were satisfactory. Specifically, social validity was supported by 13 professors and local multicultural service center professionals and construct validity was tested and confirmed using a series of exploratory and confirmatory factor analyses. The split-half reliability and internal consistency of the questionnaire were also highly acceptable. Conclusion: The sound psychometric properties of the Client Satisfaction Questionnaire indicates that the it can be a useful tool for evaluating client satisfaction with the services provided by multicultural family support centers.

• 가족자원경영과 정책
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• 제12권1호
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• pp.91-105
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• 2008

This study identifies key determinants and types of participation in UCC Services. The research examines the how the major factors in perception of social presence, fun and entertainment, self-expression, arousal, human relations, positive feedback, information sharing, monetary business opportunity, and user friendliness of web structure contribute to participation in UCC Services. The data used in this study were collected by a web-based survey so that 629 internet users were available for analysis. Some of the practical implications of the results are follows. We have categorized that the type of people participating in UCC Services were readers, modifiers, remixers, and creators. Digital consumers directly connected with other consumers by producing their own digital contents. Multiple regression analysis among the creators group was not included due to small sample size. Self expression, fun and joy and the convenience of the web interface showed strong positive significant impacts on the UCC Service participation of all participation types. Information sharing, other's positive reputation and arousal showed a positive significant impact on the modifiers or remixers type groups. Monetary business opportunity and human relations were not significant in any UCC type group.

• 한국통신학회논문지
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• 제27권8C호
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• pp.771-781
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• 2002

기존의 PC 통신 서비스가 최근 인터넷에 기반을 둔 멀티미디어 웹 서비스로 빠르게 대체됨으로 인해 과거 많은 인력과 자금을 투자하여 개발한 유용한 데이터베이스와 PC 통신 환경 상의 많은 서비스가 사용자로부터 도외시되어 사장되는 문제가 발생하고 있다. 이에 본 연구에서는 과거 PC 통신 환경 상에서 제공되었던 텍스트 위주의 명령에 기초한 데이터베이스 서비스를 사용자의 정보 접근이 용이한 멀티미디어 웹에 기초한 데이터베이스 서비스로의 효율적 전환을 위한 구현방법 및 기술에 관해 연구하였다.

• Journal of Information Processing Systems
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• 제15권5호
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• pp.1029-1035
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• 2019

In recent years, artificial intelligence (AI) services have become one of the most essential parts to extend human capabilities in various fields such as face recognition for security, weather prediction, and so on. Various learning algorithms for existing AI services are utilized, such as classification, regression, and deep learning, to increase accuracy and efficiency for humans. Nonetheless, these services face many challenges such as fake news spread on social media, stock selection, and volatility delay in stock prediction systems and inaccurate movie-based recommendation systems. In this paper, various algorithms are presented to mitigate these issues in different systems and services. Convolutional neural network algorithms are used for detecting fake news in Korean language with a Word-Embedded model. It is based on k-clique and data mining and increased accuracy in personalized recommendation-based services stock selection and volatility delay in stock prediction. Other algorithms like multi-level fusion processing address problems of lack of real-time database.

• 대한치과의료관리학회지
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• 제10권1호
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• pp.1-8
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• 2022

This study introduces research on the quality of medical services, optimization of medical services, dental medical services, implant medical services, and time schedules, as well as the effective process of dental implant medical services, which is expensive and requires a long treatment period. For improvement, it is suggested to evaluate using a time schedule. In this method, a time schedule is prepared in which each step, starting from the patients appointment until the completion of the treatment process, is allotted a certain time. This schedule was finalized in consultation with the employees. When performing all implant operations, the starting time of each item was checked to evaluate the degree of compliance and to understand any reasons for delay in each step. After identifying the causes for delay at each step, suitable steps to rectify the drawbacks were developed, and an optimal plan for patient management was determined. Changes in waiting time and human resource utilization were shown as concrete data, suggesting that such a schedule is meaningful as a decision-making support tool.

• 인터넷정보학회논문지
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• 제15권1호
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• pp.55-61
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• 2014

현재 기업에서는 다양한 인간 친화적 로봇 서비스와 인터넷을 이용해 IT 자원을 필요한 만큼 빌려 쓰는 컴퓨팅 패러다임인 모바일 클라우드 컴퓨팅을 이용한 업무 처리 프로세스가 활발히 진행되고 있다. 그러나 모바일 클라우드 컴퓨팅 접속시 필요한 인증 서비스와 대용량 분산 처리 기술에 대한 부분은 현재 많은 취약점들을 내포하고 있는 실정이다. 본 연구에서는 모바일 클라우드 컴퓨팅 모델의 인증 서비스 취약점을 분석하고 이러한 문제점을 개선시킨 모바일 클라우드 컴퓨팅 모델을 구축하여 효율적이고 안전한 업무 처리 프로세스가 가능하도록 하고자 한다. 제안하는 모바일 클라우드 컴퓨팅 모델은 실시간 비정형 데이터를 분석하고 처리하는 기술에 대한 연구를 함께 진행함으로써 향후 비정형 데이터를 활용한 개개인 맞춤 정보 제공 서비스가 가능하다.

• 인간식물환경학회지
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• 제24권6호
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• pp.707-718
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• 2021

Background and objective: Due to the recent crisis of extinction in local areas, the mountain village promotion policy is recognized as an important task. This study examined the priorities of major policy projects in the forest sector that affect mountain village promotion. Methods: For research methods, literature search, expert advisory meetings, and a survey were conducted. The survey was conducted on 42 policy stakeholders from June 1 to August 13, 2021. The literature search was based on policy projects in the forest sector by 8 upper-level local governments including mountain villages. For questionnaire items, 173 forest policy projects were classified into 27 types through expert review, and the importance and performance of each type were rated on a 5-point Likert scale. Paired t-test, IPA, Locus for Focus model, and Borich needs assessment were used as the analysis methods, and the statistical program SPSS 21.0 was used as the analytical tool. Results: The results showed that 'creating forest-related jobs' and 'supporting cultivation of professional forestry workers' both showed high importance and performance, implying that they would show an effect in mountain village promotion. 'Creating forests for environmental improvement', 'discovering forest cultural assets' 'establishing and boosting forest tourism', 'providing forest therapy services', 'creating forest-related jobs', 'supporting community revitalization', and 'urban-rural exchanges' were found to be the types that needed improvement and concentration for mountain village promotion. In particular, 'creating forests for environmental improvement' and 'discovering forest cultural assets' were derived as priority considerations for mountain village promotion policies. Conclusion: In summary, it was found that in order to promote mountain villages, various content projects must be improved and carried out to enhance the physical environment and revitalize mountain villages.

• 제어로봇시스템학회논문지
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• 제20권5호
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• pp.486-494
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• 2014

Intelligent homes consist of ubiquitous sensors, home networks, and a context-aware computing system. These homes are expected to offer many services such as intelligent air-conditioning, lighting control, health monitoring, and home security. In order to realize these services, many researchers have worked on various research topics including smart sensors with low power consumption, home network protocols, resident and location detection, context-awareness, and scenario and service control. This paper presents the real-time metabolic rate estimation method that is based on measured heart rate for human adaptive appliance (air-conditioner, lighting etc.). This estimation results can provide valuable information to control smart appliances so that they can adjust themselves according to the status of residents. The heart rate based method has been experimentally compared with the location-based method on a test bed.

• Journal of Information Processing Systems
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• 제12권3호
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• pp.489-501
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• 2016

As interest in the Internet increases, related technologies are also quickly progressing. As smart devices become more widely used, interest is growing in words are missing here like "improving the" or "figuring out how to use the" future Internet to resolve the fundamental issues of transmission quality and security. The future Internet is being studied to improve the limits of existing Internet structures and to reflect new requirements. In particular, research on words are missing here like "finding new forms of" or "applying new forms of" or "studying various types of" or "finding ways to provide more" reliable communication to connect the Internet to various services is in demand. In this paper, we analyze the security threats caused by malicious activities in the future Internet and propose a human behavior analysis-based security service model for malware detection and intrusion prevention to provide more reliable communication. Our proposed service model provides high reliability services by responding to security threats by detecting various malware intrusions and protocol authentications based on human behavior.