• 제목/요약/키워드: Reward Methods

검색결과 223건 처리시간 0.022초

Seamless Mobility of Heterogeneous Networks Based on Markov Decision Process

  • Preethi, G.A.;Chandrasekar, C.
    • Journal of Information Processing Systems
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    • 제11권4호
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    • pp.616-629
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    • 2015
  • A mobile terminal will expect a number of handoffs within its call duration. In the event of a mobile call, when a mobile node moves from one cell to another, it should connect to another access point within its range. In case there is a lack of support of its own network, it must changeover to another base station. In the event of moving on to another network, quality of service parameters need to be considered. In our study we have used the Markov decision process approach for a seamless handoff as it gives the optimum results for selecting a network when compared to other multiple attribute decision making processes. We have used the network cost function for selecting the network for handoff and the connection reward function, which is based on the values of the quality of service parameters. We have also examined the constant bit rate and transmission control protocol packet delivery ratio. We used the policy iteration algorithm for determining the optimal policy. Our enhanced handoff algorithm outperforms other previous multiple attribute decision making methods.

온라인 공간에서의 문제해결: 전문가 지식 네트워크에 관한 사례연구 (Investigation Problem-Solving in Virtual Spaces: The Knowledge Network of Experts)

  • 고준;전성일
    • 지식경영연구
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    • 제6권2호
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    • pp.149-168
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    • 2005
  • Owing to the limits of IT System-driven knowledge management(KM) for innovation processes, alternative KM methods has been suggested such as: (1) the knowledge network of experts or (2) communities-of-practice. This study analyzes two cases in terms of on-line expert knowledge networks for problem-solving, with the dimensions of analysis based on a theoretical framework. By analyzing the cases of S company's expert network and Naver's Ji-sik-iN, we found that system quality(e.g., ease of use, accessibility, and searching function), information/knowledge quality(e.g., usefulness, accuracy, and timeliness), knowledge-sharing culture, social capital and relevant reward systems are important for stimulating a Q&A-based problem-solving knowledge network. Implications of the findings and future research directions are discussed.

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비대칭급확대채널의 층류유동 및 열전달 해석 (Analysis of Laminar Flow and Heat Transfer in Asymmetric, Sudden Expansion Channel)

  • 원승호;맹주성;손병진
    • 대한설비공학회지:설비저널
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    • 제13권1호
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    • pp.5-13
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    • 1984
  • This analysis of numerical procedure is prediction of laminar flow and heat transfer at two dimension and steady flow in asymmetric sudden expansion channel. At former study, to analyse the flows with separation, the full Navier-Stokes equation is used, but there are many difficulties to analyse, and although significant progress has been made in the development of efficient computational methods for the Navier-Stokes equations, very large computation times are still required. In case of reward-facing flow, boundary-layer equation is used instead of full Navier-Stokes equation to analyse velocity fields, and result of this numerical analysis is good agreement with the given experimental study. In this case, since the computer time required for the boundary-layer calculation is an order of magnitude less than required for the solution of the full Navier-Stokes equation, this boundary-layer model provides a good approximate solution.

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A new method to detect attacks on the Internet of Things (IoT) using adaptive learning based on cellular learning automata

  • Dogani, Javad;Farahmand, Mahdieh;Daryanavard, Hassan
    • ETRI Journal
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    • 제44권1호
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    • pp.155-167
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    • 2022
  • The Internet of Things (IoT) is a new paradigm that connects physical and virtual objects from various domains such as home automation, industrial processes, human health, and monitoring. IoT sensors receive information from their environment and forward it to their neighboring nodes. However, the large amounts of exchanged data are vulnerable to attacks that reduce the network performance. Most of the previous security methods for IoT have neglected the energy consumption of IoT, thereby affecting the performance and reducing the network lifetime. This paper presents a new multistep routing protocol based on cellular learning automata. The network lifetime is improved by a performance-based adaptive reward and fine parameters. Nodes can vote on the reliability of their neighbors, achieving network reliability and a reasonable level of security. Overall, the proposed method balances the security and reliability with the energy consumption of the network.

리더십유형과 사회자본과의 관계분석 -지역사회민간단체를 중심으로- (Improving the Social Capital of Community Organization through Leadership)

  • 김남선;원용숙
    • 한국지역사회생활과학회지
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    • 제14권1호
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    • pp.13-35
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    • 2003
  • This study aims at analyzing the leadership-types that have been affecting the social capital of community organization. The methods for this study are literatures review and survey to community organizations in Daegucity and Kyungpook. The questionnaires are sent to 426 leaders who are community organization leaders, 35.%(150) of the total returned questionnaire. The statistical methods used for the data were frequency, percentile, and regression. The major findings of this study are summarized as follows: 1)Direction for improving the social capital of community organization aspect of respondent's personal characteristic (1)female members' rate of community organization should be more high. (2)leader's age is to be over fifty, and educational background of high school is resonable. (3)the leader's religious is buddhism, the leaders of community organization should take the adult education program that related to leadership. 2)Resonable leadership-types to improve the social capital of community organization as follow; (1)reformative leadership is more important than trading leadership for affecting positively the social capital of community organization. (2)the authoritative leadership of reformative leadership-types is the most important than anyone else. (3)the condition-reward leadership of trading leadership types is affecting positively the social capital of community organization. And the authoritative leadership is needed for increasing the social capital of community organizations in Daegucity and Kyungpook.

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한국 재난관리 체계에서 민간 방재조직의 전문성 제고 방안 - 지역자율방재단을 중심으로 - (A study on enhancing professionalism of civil anti-disaster organizations for public safety in Korea: with a focus on CAIND)

  • 채종식
    • 한국응급구조학회지
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    • 제25권3호
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    • pp.163-178
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    • 2021
  • Purpose: This study explored a plan for improving the overall preventive activity of Korean Citizen-Corps-Active-in-Disaster (CAIND). Methods: The study used the documentary survey and the technical approach methods. This way, detailed information regarding civil anti-disaster organizations was found in scholarly monographs, specialty publications, and master's/doctoral dissertations. It further utilized the statistical yearbooks between 2015 and 2018 from the Korean Ministry of Public Administration, Security, and Fire Service, and the National Statistical Office, to discover practical problems through a statistical analysis. Volunteer activities being inherent, related issues were reviewed at the same time to for purposes of clarifying the characteristics of disaster prevention activity by CAIND. Results: The study provided four major suggestions for improvement. First, the quota management system of Korean CAIND considering the characteristics of rural areas should be supplemented. Second, the education and training systems of Korean CAIND should be established to satisfy regional conditions. Third, management members' readership competency in operating organizations, including that of the Korean CAIND captain in charge, should be strengthened. Fourth, the reward system for Korean CAIND activities should be improved. Conclusion: In the future, the results of this study are expected to be utilized as a basic data to develop Korean CAIND.

The Effect of Problem-Based Learning for Patient Safety on Self-Leadership, Patient Safety Competencies, and Reflective Thinking of Nursing Students

  • Park, Jung-Ha;Yun, Ji-Ah;Park, Kyoung-Duck
    • International journal of advanced smart convergence
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    • 제11권2호
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    • pp.194-204
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    • 2022
  • This study is a one-group pretest-posttest design to evaluate the effect of problem-based learning (PBL) for patient safety on self-leadership, patient safety competencies, and reflective thinking of nursing students. The research was conducted from March 2 to April 15, 2022, in which 57 nursing students participated. PBL for patient safety was examined in a total of 8 sessions in the order of motivation, problem identification, task performance planning, problem-solving methods, summary and solution, presentation, and evaluation. The following topics of patient safety were selected for each team: nursing records, high-alert medication, medication error and intravenous fluid regulation, blood transfusion care, fall, bedsore, infection control, and pain management. We provided feedback on the learning process and outcomes of nursing students. According to the results, self-leadership showed a statistically significant improvement in self-expectations (t=2.60, p=0.01), goal setting (t=2.84, p<0.01), self-reward (t=3.32, p<0.01), and self-criticism (t=2.32, p=0.02). Patient safety competencies showed a statistically significant improvement in patient safety knowledge (t=13.05, p<0.001) and patient safety skills (t=4.87, p<0.001) but not in reflective thinking. The results prove that PBL for patient safety is an effective teaching-learning strategy to improve self-leadership and patient safety competencies. Future studies must develop and validate specific and long-term teaching-learning methods to improve reflective thinking.

Aspect-based Sentiment Analysis of Product Reviews using Multi-agent Deep Reinforcement Learning

  • M. Sivakumar;Srinivasulu Reddy Uyyala
    • Asia pacific journal of information systems
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    • 제32권2호
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    • pp.226-248
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    • 2022
  • The existing model for sentiment analysis of product reviews learned from past data and new data was labeled based on training. But new data was never used by the existing system for making a decision. The proposed Aspect-based multi-agent Deep Reinforcement learning Sentiment Analysis (ADRSA) model learned from its very first data without the help of any training dataset and labeled a sentence with aspect category and sentiment polarity. It keeps on learning from the new data and updates its knowledge for improving its intelligence. The decision of the proposed system changed over time based on the new data. So, the accuracy of the sentiment analysis using deep reinforcement learning was improved over supervised learning and unsupervised learning methods. Hence, the sentiments of premium customers on a particular site can be explored to other customers effectively. A dynamic environment with a strong knowledge base can help the system to remember the sentences and usage State Action Reward State Action (SARSA) algorithm with Bidirectional Encoder Representations from Transformers (BERT) model improved the performance of the proposed system in terms of accuracy when compared to the state of art methods.

온라인과 오프라인 설문자의 기질 특성 : 성인 인터넷 중독 검사 설문자를 대상으로 (The Temperament Characteristics of On-Line and Off-Line Subjects : In Subjects Who Answered Internet Addiction Questionnaires)

  • 김건;임선진;김진훈;윤해주
    • 정신신체의학
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    • 제16권1호
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    • pp.31-37
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    • 2008
  • 연구목적 : 기존의 종이 설문지를 이용한 전통적인 오프라인 설문 방법과 더불어 전자화된 문서를 통한 인터넷 온라인 설문이 연구 방법으로 이용되어 왔고 그를 통한 여러 연구 결과들이 알려지고 있지만, 아직까지 설문 방법에 따른 결과의 차이를 보고한 결과는 없었다. 우리는 성인 인터넷 중독 설문 검사에 온라인 설문에 참여한 대상과 오프라인을 통해 참여한 대상 사이에 기질적인 특성의 차이가 나타나는지를 알아보고자 하였다. 방법 : 기초 인구학적 정보, 인터넷 중독 설문, Young의 기질 검사 척도가 포함된 설문을 통하여 두 군 간의 특성의 차이가 있는 지를 비교하였다. 총 430명(오프라인 286명, 온라인 144명)이 연구에 참여하였다. 성별과 중독 점수, 정신과적 치료력의 차이가 있어 MANCOVA를 통해 기질 점수에 끼칠 영향을 통제하였다. 결과 : 기질 특성에서 harm avoidance(HA), novelty seeking(NS), reward dependence(RD)의 척도에서는 모두 두 집단 간에 유의미한 차이가 있었다. HA와 NS의 경우 온라인군에서 오프라인군에 비해 유의하게 높게 측정되었고, RD는 온라인군에서 유의하게 낮게 측정되었다. 결론 : 이 연구는 온라인군과 오프라인군 사이에 유의한 기질적 특성의 차이가 있음을 보였다. 방법의 차이만으로 설명할 수 없는 이 결과를 더 잘 이해하기 위해선 아직 많은 연구가 필요할 것으로 보인다.

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국내 기업 연구개발 종사자의 셀프리더십이 직무만족을 매개로 혁신행동에 미치는 영향 : 제조업과 정보통신업 비교 (The Influence of Self-Leadership of Research and Development Practitioners on Innovative Behavior via Job Satisfaction : A Comparison between Manufacturing and ICT Industries )

  • 최민석;황찬규
    • 벤처혁신연구
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    • 제7권1호
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    • pp.91-110
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    • 2024
  • 연구개발 종사자의 혁신행동은 신제품 또는 서비스를 창출하거나 기존 제품/서비스의 개선 등 효율화를 통해 기업의 지속적인 성장과 경쟁력에 매우 중요한 역할을 한다. 또한 연구개발 종사자들은 높은 전문성과 창의성을 기반으로 업무를 진행하는 경향이 높기 떄문에 외부로부터의 지시나 요구보다는 스스로의 동기부여에 의해서 혁신행동이 발현될 가능성이 높다. 셀프리더십이 혁신행동에 미치는 연구는 다양한 분야에서 진행되어 왔으나 연구개발 (R&D) 종사자를 대상으로 한 연구는 많지 않다. 본 연구에서는 제조업 및 정보통신 (ICT) 기업 연구개발 종사자의 셀프리더십이 혁신행동에 미치는 영향 및 셀프리더십과 혁신행동 간 직무만족의 매개효과를 비교 분석하였다. 이를 위해 랜덤표집 방식으로 온라인 설문조사를 실시하여 확보한 209건의 데이터에 대해 SPSS 20.0 프로그램을 활용 탐색적 요인분석, 신뢰도 및 요인간 상관관계 분석, 다중회귀분석 및 매개효과 분석을 진행하고 제조업과 ICT 간 차이를 분석하였다. 연구 결과는 다음과 같다. 첫 째, 제조업과 ICT 모두 셀프리더십과 직무만족, 셀프리더십과 혁신행동 사이에 유의한 정(+)의 상관관계를 나타내었다. 둘 째, 셀프리더십이 혁신행동에 미치는 영향 분석 결과, 제조업의 경우 자연보상 전략과 건설적사고 전략만이 유의한 정 (+)의 영향을 미친 반면 ICT의 경우에는 행동지향 전략, 자연보상 전략 및 건설적사고 전략 모두 유의한 정 (+)의 영향을 미치는 것으로 나타났다. 셋 째, 셀프리더십이 직무만족에 미치는 영향 분석 결과, 제조업의 경우 자연보상 전략과 건설적사고 전략만이 유의한 정 (+)의 영향을 미친 반면, ICT의 경우에는 행동지향 전략과 자연보상 전략이 유의한 정 (+)의 영향을 미치는 것으로 나타났다. 제조업의 행동지향 전략과 ICT의 건설적사고 전략은 유의하지 않았다. 넷 째, 직무만족이 혁신행동에 미치는 영향 분석 결과, 제조업과 ICT 모두에서 유의한 정(+)의 영향을 미치는 것으로 나타났고 제조업의 경우가 ICT보다 상대적으로 큰 영향을 미치는 것으로 나타났다. 다섯 째, 직무만족의 매개효과 분석 결과, 제조업의 경우 건설적사고 전략만이 유의한 영향을 미치는 것으로 나타나 부분적인 매개효과가 있음을 확인하였다. 반면, ICT의 경우에는 셀프리더십의 모든 하위 요인에 대해 직무만족의 매개효과는 나타나지 않았다. 본 연구의 결과로부터 제조업과 ICT업 간에 셀프리더십이 혁신행동에 미치는 영향과 매개효과의 작용 메커니즘 차이를 확인할 수 있었다. 또한 연구결과는 각 산업의 특성과 연구개발 조직 특성을 고려하여 조직 내의 리더십, 직무설계, 그리고 직무만족을 촉진하는 방향으로 조직의 전략과 문화를 개선하는 것이 중요함을 시사한다.