• Title/Summary/Keyword: convergence of knowledge

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The Effect of Information Security Related Stress and Person-Organization Fit on Knowledge Sharing Behavior (정보보안 관련 스트레스와 개인조직 적합성이 정보보안 지식공유행동에 미치는 영향)

  • Hwang, In-Ho
    • Journal of the Korea Convergence Society
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    • v.12 no.2
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    • pp.247-258
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    • 2021
  • Recently, organizations are demanding strict information security behavior from their employees. Strict information security policies and techniques can cause information security related stress. The purpose of this study is to present the negative effects of information security related techno stress and role stress that reduce knowledge sharing behavior and person-organization fit. The survey was conducted to people working in organizations with information security policies and system, and the research hypothesis was verified by structural equation modeling using 309 samples. As a result of the study, person-organization fit had a positive effect on knowledge sharing behavior, but role stress had a negative effect. And, techno-stress negatively affected the person-organization fit. Additionally, role ambiguity had a moderating effect between person-organization fit and knowledge sharing behavior. The implications of the study were to confirm the negative effects of information security related techno stress and role stress, and to suggest directions for minimizing negative behavior of insiders.

Knowledge and attitude of patient safety, safety performance among caregivers: In nursing home (요양보호사의 환자안전에 대한 지식, 태도 및 안전수행 정도: 노인요양시설을 중심으로)

  • Seo, Ji-Hye;Jung, Eun-Young
    • Journal of the Korea Convergence Society
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    • v.11 no.10
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    • pp.409-416
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    • 2020
  • The purpose of this study is to investigate nursing home caregivers' safety knowledge, safety attitude and safety performance; then to analyze the relations between them, and to find the factors influencing the caregivers' safety performance. The study method was conducted by using SPSS WIN 21.0 program of 134 questionnaires surveyed in S city. A positive correlation was found with caregivers' safety knowledge and safety attitude. Additionally safety attitude has positive correlation with safety performance. No correlation was found between safety knowledge and safety performance. These influential factors explained their safety practice behavior 36.1%. Based on the results of this study, it is necessary to establish a policy that can form a proper safety culture in the nursing home as well as repetitive training centered on practices that can affect the safety performance of caregivers.

Approximate k values using Repulsive Force without Domain Knowledge in k-means

  • Kim, Jung-Jae;Ryu, Minwoo;Cha, Si-Ho
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.3
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    • pp.976-990
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    • 2020
  • The k-means algorithm is widely used in academia and industry due to easy and simple implementation, enabling fast learning for complex datasets. However, k-means struggles to classify datasets without prior knowledge of specific domains. We proposed the repulsive k-means (RK-means) algorithm in a previous study to improve the k-means algorithm, using the repulsive force concept, which allows deleting unnecessary cluster centroids. Accordingly, the RK-means enables to classifying of a dataset without domain knowledge. However, three main problems remain. The RK-means algorithm includes a cluster repulsive force offset, for clusters confined in other clusters, which can cause cluster locking; we were unable to prove RK-means provided optimal convergence in the previous study; and RK-means shown better performance only normalize term and weight. Therefore, this paper proposes the advanced RK-means (ARK-means) algorithm to resolve the RK-means problems. We establish an initialization strategy for deploying cluster centroids and define a metric for the ARK-means algorithm. Finally, we redefine the mass and normalize terms to close to the general dataset. We show ARK-means feasibility experimentally using blob and iris datasets. Experiment results verify the proposed ARK-means algorithm provides better performance than k-means, k'-means, and RK-means.

The Influence of Strengths Knowledge and Nursing Professionalism on Career Identity in Nursing Students (간호대학생의 강점인식과 간호전문직관이 진로정체감에 미치는 영향)

  • kim, Kyoung-Ha
    • Journal of the Korea Convergence Society
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    • v.13 no.3
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    • pp.363-370
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    • 2022
  • This study was execute to find out the influence of strengths knowledge and nursing professionalism on career identity in nursing students. Data were collected from nursing students attending in the nursing departments in G and M cities from July to September 2021. Among the collected data, 198 data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and controlled regression analysis. As a result of data analysis, strengths knowledge(β=.473, p<.001) and nursing professionalism(β=.167, p<.01) reported to have effect on career identity. The study model accounted for 48.2% of career identity. These findings suggest that program to improve strengths knowledge and nursing professionalism should be developed and operated to promote career identity of nursing students in the nursing education field.

Storage and a variety of perspectives for the most out of knowledge study relations law (지식의 저장과 활용을 극대화하기 위한 다양한 관점에 대한 관계 법칙 연구)

  • Yoon, KyungBae;Kwon, HeeChoul;Moon, HyunHee
    • The Journal of the Convergence on Culture Technology
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    • v.2 no.4
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    • pp.23-29
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    • 2016
  • The purpose of this study is to study the laws of storage and utilization in various perspectives in order to maximize the storage of knowledge and to use stored knowledge. In other words, it analyzes the relationship rules in five viewpoints of 'human and knowledge', 'human and goods', 'the law of exact intersection with humans', 'human architecture formation process', 'human and knowledge' This course studies how to maximize the relationship rules between knowledge storage and utilization through knowledge management, intuition, rapid decision-making, and understanding of various knowledge. In order to maximize the value of knowledge in the organization, the knowledge management system obtained in this way systematically organizes various information about the knowledge creation of the members and distributes it to all employees to use it for their work. As an information management infrastructure, To effectively manage the various knowledge and know-how accumulated in the organization and to share them with each other.

The Effects of Music Lesson Applying the Blended Learning-based STEAM Education on the Musical Knowledge and STEAM Literacy of Pre-service Kindergarten Teachers (블랜디드 러닝 기반 STEAM 교육 적용 음악수업이 예비유아교사의 음악지식 및 융합인재소양에 미치는 영향)

  • Kim, Ok-Ju
    • Journal of the Korea Convergence Society
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    • v.9 no.2
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    • pp.217-227
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    • 2018
  • The objective of this study is to analyze the effects of music lesson applying the blended learning-based STEAM education on the musical knowledge and STEAM literacy of pre-service kindergarten teachers. After conducting a pre-test on the musical knowledge and STEAM literacy targeting 20 students(3rd year) of early childhood music lesson in Dept. of Early Childhood Education of C University in O Metropolitan City and 19 students(3rd year) of early childhood music lesson in Dept. of Early Childhood Education of D University in B Metropolitan City, the effectiveness of the pre - post test design was verified. In the results of study, the experimental group with music lesson applying the blended learning-based STEAM education showed significantly improved results in all the areas of musical knowledge and convergence, creativity, and communication out of STEAM literacy than the control group with general music lesson. Such results of this study imply that music lesson applying the blended learning-based STEAM education could be usefully used as a teaching/learning method to improve musical knowledge and STEAM literacy of pre-service kindergarten teachers in university education site in the future.

Ontology Knowledge-Driven Context-awere U-Healthcare Service Application Service Framework using Secure Health Information Exchange (보안 헬스 정보 교환을 이용한 온톨로지 지식기반 상황인식 U-헬스케어 어플리케이션 서비스 프레임워크 설계)

  • Kim, Donghyun;Kim, Seoksoo;Choi, E-Jung
    • Convergence Security Journal
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    • v.14 no.7
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    • pp.75-84
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    • 2014
  • The advancement in ubiquitous healthcare specifically in preventive healthcare can lead to longer life expectancy especially for the elderly patients. To aid in preventing premature loss of lives as well as lengthening life span, this research aims to implement the use of mobile and wireless sensor technology to improve the quality of life and lengthen life expectancy. The threats to privacy and security have received increasing attention as ubiquitous healthcare applications over the Internet become more prevalent, mobile and universal. Therefore, we propose Context-aware Service of U-Healthcare Application based Knowledge using Ontology in secure health information exchange. This research also applies ontology in secure information exchange to support knowledge base, context modeling, and context reasoning by applying the general application areas for ontologies to the domain of context in ubiquitous computing environments. This paper also demonstrates how knowledge base, context technologies, and mobile web services can help enhance the quality of services in preventive ubiquitous healthcare to elderly patients.

Integrated Flood Risk Management through Modelling of Nature Based Solutions

  • Bastola, Shiksha;Kareem, Kola Yusuff;Park, Kiddo;Jung, Younghun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.160-160
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    • 2022
  • Floods are the most common natural disasters and are annually causing severe destructions worldwide. Human activities, along with expected increased extreme precipitation patterns as a result of climate change enhance the future potential of floods. There are proven evidence that infrastructure based responses to flood disaster is no longer achieving optimum mitigation and have created a false sense of security. Nature-based solutions(NBS) is a widely accepted sustainable and efficient approach for disaster risk reduction and involves the protection, restoration, or management of natural and semi-natural ecosystems to tackle the climate and natural crisis. Adoption of NBS in decision-making, especially in developing nations is limited due to a lack of sufficient scenario-based studies, research, and technical knowledge. This study explores the knowledge gap and challenges on NBS adoption with case study of developing nation, specially for flood management, by the study of multiple scenario analysis in the context of climate, land-use change, and policies. Identification and quantification of the strength of natural ecosystems for flood resilience and water management can help to prioritize NBS in policymaking leading to sustainable measures for integrated flood management.

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Comparing the Ethical Knowledge, Ethical Values and Class Satisfaction by Students' Cognitive Style to Develope the Convergent Nursing Ethic Class (융복합 간호윤리수업 개발을 위한 학생의 인지양식에 따른 윤리지식, 윤리적 가치관과 수업만족도 비교)

  • Jeong, Sun-Young;Kim, Chang-Hee
    • Journal of Digital Convergence
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    • v.13 no.11
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    • pp.205-216
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    • 2015
  • The purpose was to compare the ethical knowledge, values and class satisfaction by students' cognitive style to develop the convergent nursing ethic class considering cognitive style. Questionnaires were collected from 149 freshmen after 12 hours classes for four weeks from October 1st to 30th 2013. Group Embedded Figure Test was used as a cognitive style measurement tool. 62.4% of them were field-dependent. There was a significant difference in cognitive style and ethical knowledge according to high school division. The ethical value was different significantly according to the nursing science satisfaction. Class satisfaction was different significantly according to reason for applying to nursing and nursing science satisfaction. There were no significant differences in ethical knowledge and values by cognitive style. Class satisfaction was higher in field-dependent students. This conclusion will give baseline data to develop nursing education program based on cognitive style.

Cat Monitoring and Disease Diagnosis System based on Deep Learning (딥러닝 기반의 반려묘 모니터링 및 질병 진단 시스템)

  • Choi, Yoona;Chae, Heechan;Lee, Jonguk;Park, Daihee;Chung, Yongwha
    • Journal of Korea Multimedia Society
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    • v.24 no.2
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    • pp.233-244
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    • 2021
  • Recently, several ICT-based cat studies have produced some successful results, according to academic and industry sources. However, research on the level of simply identifying the cat's condition, such as the behavior and sound classification of cats based on images and sound signals, has yet to be found. In this paper, based on the veterinary scientific knowledge of cats, a practical and academic cat monitoring and disease diagnosis system is proposed to monitor the health status of the cat 24 hours a day by automatically categorizing and analyzing the behavior of the cat with location information using LSTM with a beacon sensor and a raspberry pie that can be built at low cost. Validity of the proposed system is verified through experimentation with cats in actual custody (the accuracy of the cat behavior classification and location identification was 96.3% and 92.7% on average, respectively). Furthermore, a rule-based disease analysis system based on the veterinary knowledge was designed and implemented so that owners can check whether or not the cats have diseases at home (or can be used as an auxiliary tool for diagnosis by a pet veterinarian).