• Title/Summary/Keyword: Information Provision

Search Result 1,397, Processing Time 0.024 seconds

A Study on the Development of School Library Mobile App Service Based on User Experience (사용자 경험을 기반으로 한 학교도서관 모바일 앱 서비스 개발에 관한 연구)

  • Park, Sora;Lee, Mihwa
    • Journal of the Korean BIBLIA Society for library and Information Science
    • /
    • v.32 no.2
    • /
    • pp.49-67
    • /
    • 2021
  • The school library provides a mobile web service that allows access to the library catalog system, and provides services that reflect the needs of search and consider the characteristics of mobile devices. Therefore, this study conducted a literature review, an analysis of the current status of school library mobile web services, and a survey of the mobile service user experience of students and teachers to find the contents and service plans for school library mobile app services that meet the school library mobile needs. Based on the survey, the contents and design plan of the school library DLS mobile service was prepared. First, the steps were reduced from step 4 to step 3. In the first step, solution of screen clipping errors in registering as a member and various login platforms for accessibility are needed. In the second step, integrated search and detailed search, provision of materials for use and reading education, post-booking activities, guides and announcements on the use of the affiliated school library, inter-loan, and e-books are provided as main menu. In the third step, it was proposed to provide related functions such as reservations as well as the display of the detailed screen of the search results of the collection. This study can be used not only to develop dedicated mobile app services, but also to change current web-based mobile services.

Systematic Review in Regard to Career Education for Students Who Major in Physical Education (체육전공 대학생의 진로 교육 방안에 관한 체계적 문헌고찰)

  • Lee, Weon-Il;Lee, Eun-Young;Yi, KyoungJune;Jin, Yeon Kyung
    • 한국체육학회지인문사회과학편
    • /
    • v.58 no.3
    • /
    • pp.241-260
    • /
    • 2019
  • The purpose of this study is to explore effective and practical career plans reflecting demand of the field, in regard to education for university students who major in physical education, as the importance and necessity of career education at a university level are increasing. Systematic literature review (PRISMA) methodology was used for this study. From 38 pieces of literature that were finally selected for this study, research results were put together from three perspectives as follows: 1. 'Factors Related to Students' Decision-Making for Career' which should be considered in career education for physical education majors; 2. Problems of Career Education in the Physical Education Curriculum, and; 3. Improvement Plans. First, it was found that students' decision-making for career is affected by individuals' personal internal factors (i.e., satisfaction with major, self-efficacy, and career barrier) and external factors (i.e., counselling history on career paths, career conditions, and the status of related jobs). Second, the state of career education for physical education majors was found to be insufficient in terms of a lack of career education in the curriculum, a lack of support from major professors, and a lack of support for field experience. Third, improvement plans were suggested from the following perspectives: development of systematic career education curriculum (i.e., fostering leadership, reorganization of curriculum focused on career specialty, and operation of systematic curriculum); provision of an adequate environment for career education (i.e., establishment of infrastructure that links the university to society and collection of information on career paths for physical education majors). Moreover, the necessity to develop career education curriculum in connection with demand of students regarding career, the lack of systematic information on career paths of physical education majors, and the lack of researches on career education for physical education majors were discussed in this study.

A Data-driven Classifier for Motion Detection of Soldiers on the Battlefield using Recurrent Architectures and Hyperparameter Optimization (순환 아키텍쳐 및 하이퍼파라미터 최적화를 이용한 데이터 기반 군사 동작 판별 알고리즘)

  • Joonho Kim;Geonju Chae;Jaemin Park;Kyeong-Won Park
    • Journal of Intelligence and Information Systems
    • /
    • v.29 no.1
    • /
    • pp.107-119
    • /
    • 2023
  • The technology that recognizes a soldier's motion and movement status has recently attracted large attention as a combination of wearable technology and artificial intelligence, which is expected to upend the paradigm of troop management. The accuracy of state determination should be maintained at a high-end level to make sure of the expected vital functions both in a training situation; an evaluation and solution provision for each individual's motion, and in a combat situation; overall enhancement in managing troops. However, when input data is given as a timer series or sequence, existing feedforward networks would show overt limitations in maximizing classification performance. Since human behavior data (3-axis accelerations and 3-axis angular velocities) handled for military motion recognition requires the process of analyzing its time-dependent characteristics, this study proposes a high-performance data-driven classifier which utilizes the long-short term memory to identify the order dependence of acquired data, learning to classify eight representative military operations (Sitting, Standing, Walking, Running, Ascending, Descending, Low Crawl, and High Crawl). Since the accuracy is highly dependent on a network's learning conditions and variables, manual adjustment may neither be cost-effective nor guarantee optimal results during learning. Therefore, in this study, we optimized hyperparameters using Bayesian optimization for maximized generalization performance. As a result, the final architecture could reduce the error rate by 62.56% compared to the existing network with a similar number of learnable parameters, with the final accuracy of 98.39% for various military operations.

Study on User Characteristics based on Conversation Analysis between Social Robots and Older Adults: With a focus on phenomenological research and cluster analysis (소셜 로봇과 노년층 사용자 간 대화 분석 기반의 사용자 특성 연구: 현상학적 분석 방법론과 군집 분석을 중심으로)

  • Na-Rae Choi;Do-Hyung Park
    • Journal of Intelligence and Information Systems
    • /
    • v.29 no.3
    • /
    • pp.211-227
    • /
    • 2023
  • Personal service robots, a type of social robot that has emerged with the aging population and technological advancements, are undergoing a transformation centered around technologies that can extend independent living for older adults in their homes. For older adults to accept and use social robot innovations in their daily lives on a long-term basis, it is crucial to have a deeper understanding of user perspectives, contexts, and emotions. This research aims to comprehensively understand older adults by utilizing a mixed-method approach that integrates quantitative and qualitative data. Specifically, we employ the Van Kaam phenomenological methodology to group conversations into nine categories based on emotional cues and conversation participants as key variables, using voice conversation records between older adults and social robots. We then personalize the conversations based on frequency and weight, allowing for user segmentation. Additionally, we conduct profiling analysis using demographic data and health indicators obtained from pre-survey questionnaires. Furthermore, based on the analysis of conversations, we perform K-means cluster analysis to classify older adults into three groups and examine their respective characteristics. The proposed model in this study is expected to contribute to the growth of businesses related to understanding users and deriving insights by providing a methodology for segmenting older adult s, which is essential for the future provision of social robots with caregiving functions in everyday life.

AI Security Plan for Public Safety Network App Store (재난안전통신망 앱스토어를 위한 AI 보안 방안 마련)

  • Jung, Jae-eun;Ahn, Jung-hyun;Baik, Nam-kyun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2021.10a
    • /
    • pp.458-460
    • /
    • 2021
  • The provision and application of public safety network in Korea is still insufficient for security response to the mobile app of public safety network in the stages of development, initial construction, demonstration, and initial service. The available terminals on the Disaster Safety Network (PS-LTE) are open, Android-based, dedicated terminals that potentially have vulnerabilities that can be used for a variety of mobile malware, requiring preemptive responses similar to FirstNet Certified in U.S and Google's Google Play Protect. In this paper, before listing the application service app on the public safety network mobile app store, we construct a data set for malicious and normal apps, extract features, select the most effective AI model, perform static and dynamic analysis, and analyze Based on the result, if it is not a malicious app, it is suggested to list it in the App Store. As it becomes essential to provide a service that blocks malicious behavior app listing in advance, it is essential to provide authorized authentication to minimize the security blind spot of the public safety network, and to provide certified apps for disaster safety and application service support. The safety of the public safety network can be secured.

  • PDF

Research on the Characteristics of Research Data-related Service in North American University Libraries: Focusing on the Hierarchical Structure of Services, Job Titles, and Job Descriptions (북미 지역 대학도서관의 연구데이터 관련 서비스 특성 연구 - 서비스 간 계층 구조와 직책 및 직책별 직무내용을 중심으로 -)

  • Gyuhwan Kim;Jong-Do Park
    • Journal of the Korean Society for Library and Information Science
    • /
    • v.57 no.2
    • /
    • pp.453-475
    • /
    • 2023
  • This study investigated research data-related services offered by North American university libraries, focusing on service names, hierarchical relationships, job titles of service managers, and job descriptions. The study analyzed the homepages of 50 university libraries and found a clear hierarchical relationship between research data-related service names, indicating a clear structure for these services. The title of 'librarian' was most commonly used for the position in charge of research data-related services, and the job content of this position was found to be quite wide. Other job titles such as 'specialist' and 'analyst' were also used for experts in various research data-related fields. The existence of these job titles was seen as a way for university libraries to strengthen the expertise of their research data-related services. Based on the findings, the authors propose a service composition system for research data-related services in domestic university libraries. This system includes 'research data service' as the highest-level service name, with 'research data management service', 'GIS service', and 'data visualization service' as sub-service names. The authors also suggest that research data-related services should be provided through collaboration between existing university librarians in the early stages of service provision, and that new recruitment of research data-related professionals could be considered gradually.

A Study on the Improvement of Domestic Policies and Guidelines for Secure AI Services (안전한 AI 서비스를 위한 국내 정책 및 가이드라인 개선방안 연구)

  • Jiyoun Kim;Byougjin Seok;Yeog Kim;Changhoon Lee
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • v.33 no.6
    • /
    • pp.975-987
    • /
    • 2023
  • With the advancement of Artificial Intelligence (AI) technologies, the provision of data-driven AI services that enable automation and intelligence is increasing across industries, raising concerns about the AI security risks that may arise from the use of AI. Accordingly, Foreign countries recognize the need and importance of AI regulation and are focusing on developing related policies and regulations. This movement is also happening in Korea, and AI regulations have not been specified, so it is necessary to compare and analyze existing policy proposals or guidelines to derive common factors and identify complementary points, and discuss the direction of domestic AI regulation. In this paper, we investigate AI security risks that may arise in the AI life cycle and derive six points to be considered in establishing domestic AI regulations through analysis of each risk. Based on this, we analyze AI policy proposals and recommendations in Korea and validate additional issues. In addition, based on a review of the main content of AI laws in the US and EU and the analysis of this paper, we propose measures to improve domestic guidelines and policies in the field of AI.

Inadividual Behaviors Regarding Financial MyData Service Resistance: Impacts of Innovation Resistance and Distruct (금융 마이데이터 서비스 수용저항에 대한 개인의 행동: 혁신저항과 불신의 영향)

  • Sanghyun Kim;Hyunsun Park;Changyong Sohn
    • Information Systems Review
    • /
    • v.25 no.4
    • /
    • pp.291-314
    • /
    • 2023
  • The concept of Mydata emerged with the expansion of the data economy. MyData aims to empower individuals by enhancing their right to self-determination over their personal data. The use of MyData is expected to enable the provision of innovative service in various fields. Since 2022, MyData has been introduced and actively used in the financial sector. In the future, not only financial institutions but also Bigtech and Fintech companies are expected to actively join and demonstrate rapid expansion. To ensure steady growth for MyData in the financial sector, it is necessary to assess acceptance behaviors from multiple perspectives. However, the majority of existing research solely focuses on positive acceptance. This study analyzed the impact of users' personal characteristics and innovation characteristics on both innovation resistance and acceptance resistance. The analysis revealed that personal and innovation characteristics contribute to an increase in distrust and innovation resistance in the MyData service. In addition, it has been confirmed that it can lead to actions such as delayed acceptance and refusal to accept. The results of this study offer both theoretical and practical insights into user behavior within the MyData service market.

An Exploratory Study of business support policy by growth phases for Small and medium sized enterprises -Focused on Cheonan and Asan in ChungNam- (중소기업의 성장단계별 지원정책에 관한 탐색적 연구 -충청남도 천안·아산지역을 중심으로-)

  • Lee, Jae-Beom
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.14 no.5
    • /
    • pp.2215-2224
    • /
    • 2013
  • This study performed empirical analysis to estimate SMEs needs in terms of business support policy by growth stages(start-up growth expansion). The subject is the SMEs in Cheonan and Asan, ChungNam and the results are as follows. First, In the initial start-up stage, management plays a key role in dealing with money, labor force, markets and technology while running the organization is a key role of the management in the expansion stage. Major policies to help SMEs grow includes money provision needed in the start-up stage, domestic marketing assistance and the provision of human resources in the growth stage, and assistance in foreign marketing and R&D in the expansion stage. Second, To achieve markets businesses aim at entering the existing and niche markets in the initial phase, and creating new markets in the growth phase. Third, Labor force for technology, sales and management planning in the start-up stage, marketing in the growth stage, and labor force for production in the expansion stage are core man- power needed. Fourth, Money for technology development, securing land for factories, organizing man power, securing markets and running the company is needed in the initial and growth stages while fund for facility investment is needed to grow in the expansion stage. Five, Regarding technology, the initial stage needs technology related to new product development, renewing existing products, improving the existing manufacturing process or developing new manufacturing process, while the growth stage needs processing techniques, and the expansion stage needs technology for developing new manufacturing process. Sixth, Making supply contracts with conglomerates, SMEs and public institutions, and sales to foreign markets are ways for SMEs to grow sales. Seventh, What SMEs wish to get includes business incubating support, R&D assistance, information exchanges, practical use of the R&D results, merchandising support, help with the land to build factories and custom-made support for management in the foundation stage while the support they want to get in the growth stage and in the expansion stage is training assistance and trial production respectively.

Factors that Influence Physician Salary Payment through Analyzing on Internet Invitation Webpage in Korea (초빙광고 자료를 활용한 봉직 의사의 급여수준과 관련요인)

  • Kang, Hyun Goo;Lee, Ji Hyung;Jung, Da-Doo;Lee, Moo-Sik
    • Journal of agricultural medicine and community health
    • /
    • v.46 no.1
    • /
    • pp.12-22
    • /
    • 2021
  • Backgrounds: Proper distribution and supply of physicians are factors that affect national health care systems. This study investigated the payment distribution levels and the determinants that influence the salary levels of hospital hired physicians. Methods: We analyzed 4,014 job advertisements posted on an internet invitation information site about physician recruitment from May 2016 to May 2019. We used univariate analysis to determine the relationship between average monthly salary and the other related variables. Multiple regression analysis was used to determine the predictors of physician salary level. Results: The average monthly salary for the service physician was 15.4 million won, highest for orthopedic surgeons with 22.24 million won, and lowest for diagnostic laboratory physician with 11.4 million won. The factors significantly associated with average monthly salary were; non-major specialty, housing provision, no severance pay, and incentives(p<0.05). Non-major specialty, incentives, and the regions were predictors of the average standardized monthly salary(p<0.05). Conclusion: Factors associated with average monthly salary as revealed by this study were; medical specialty, hospital regional location, housing provision, payment of retirement allowance, and payment of other incentives respectively. However, this study was a cross-sectional study, and further studies will be required.