• 제목/요약/키워드: Experience Selection

검색결과 770건 처리시간 0.029초

Secure Performance Analysis Based on Maximum Capacity

  • Zheng, Xiuping;Li, Meiling;Yang, Xiaoxia
    • Journal of Information Processing Systems
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    • 제16권6호
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    • pp.1261-1270
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    • 2020
  • The physical security layer of industrial wireless sensor networks in the event of an eavesdropping attack has been investigated in this paper. An optimal sensor selection scheme based on the maximum channel capacity is proposed for transmission environments that experience Nakagami fading. Comparing the intercept probabilities of the traditional round robin (TRR) and optimal sensor selection schemes, the system secure performance is analyzed. Simulation results show that the change in the number of sensors and the eavesdropping ratio affect the convergence rate of the intercept probability. Additionally, the proposed optimal selection scheme has a faster convergence rate compared to the TRR scheduling scheme for the same eavesdropping ratio and number of sensors. This observation is also valid when the Nakagami channel is simplified to a Rayleigh channel.

신규간호사의 이직 경험 (Experience of Turnover in New Nurses)

  • 김선애;전혜원
    • 한국보건간호학회지
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    • 제28권3호
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    • pp.644-657
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    • 2014
  • Purpose: The purpose of this study was to try to understand the essence of the experience early turnover of the new nurse by applying the phenomenological method and to provide basic data for a community-based management program. Method: Phenomenological approach was used to identify subjects experience. Subjects were five new nurses, with less than one year of clinical experience in clinical practice. This study used in-depth interview. Results: there were 104 meaningful sentences or phrases, with 41 generally comprehensive thema. Finally, thema were classified into 12 thema clusters. Conclusion: Finally, based on the results, some suggestions regarding management of early turnover of new nurses are needed. First, we proposed a new characterized of hospital selection method for each hospital. Second, practical training in clinical practice in the school and the community is necessary in order to reduce the real impact of new nurses. New nurses require various support elements in order to mitigate the real shock the first time they encounter clinical practice. Third, addition of work-related training and promotion of a self-esteem program will be needed. Fourth, interview opportunities with seniors who adapted successfully in clinical should be provided for new nurses. In addition, continuous communication should be provided for new nurses.

게임 경험에 기초한 코딩개념 학습사례연구 (A Case Study of Learning the Coding Concepts Based on Game Experience)

  • 김경민;김지연
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2015년도 추계학술대회
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    • pp.897-899
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    • 2015
  • 오늘날 학생들은 게임 경험을 통해서 선택, 반복, 결정 등과 같은 코딩의 문법적 요소를 이미 체험하고 있다. 본 논문에서는 코딩교육 경험이 없는 학생들의 게임 경험을 바탕으로 프로그래밍 도구인 스크래치를 사용하여 직접 게임을 구성하도록 함으로서 학생들 스스로 게임경험 내용과 논리적이고 문법적인 코딩 개념간의 유사성을 깨닫도록 하였다. 그 결과 학생들의 코딩개념에 대한 이해도 증가, 응용력 및 창의력 상승 그리고 자발적 수업참여도 증진 등의 사례연구를 분석해 본다.

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체인 패밀리 레스토랑의 고객 만족 및 고객 충성도에 미치는 요인 분석 (Analysis of the Factors Affecting Customer Satisfaction and Customer Loyalty in a Family Restaurant Chain)

  • 김순홍;유병국
    • 유통과학연구
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    • 제13권5호
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    • pp.103-111
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    • 2015
  • Purpose - When it comes to first impressions of family restaurants, people basically think of the following factors: cozy, a refreshing space, indoor lighting, atmospheric music, the best-quality service through mutual interactions with employees, birthday events, follow-up customer management, brand image, and many others. Focusing on such family restaurants characteristics, with consumption experience and customer satisfaction determined as mediator variables, this study looks into the selection factors that affect customer loyalty when choosing a family restaurant. Subsequently, the study conducts an empirical analysis of these selection factors with the greatest influence. Research design, data, and methodology - This study analyzed 200 total surveys of family restaurant customers including college students, workers, housewives, and others. The survey was conducted over two weeks in May 2014. For statistical processing, SPSS 21 was used for factor analysis and reliability analysis as well as AMOS for structural equation analysis. In terms of a variable that would influence either consumption experience or customer satisfaction at the restaurants, the study introduced the concept of customer equity. The study designed a model based on a hypothesis developed using the following factors: customer encounter service value, customer convenience value, brand equity, relationship equity, and other factors defined as components of customer equity by Rust et al. (2000) determined as independent variables as well as with customer experience and customer satisfaction set as mediator variables. The hypothesis, after all, assumed that customer loyalty would be positively (+) influenced. Results - The analysis results from the study reported that brand value, customer encounter service value, and relationship value have positive (+) effects on consumption experience and customer satisfaction. However, as for customer convenience value, this turned out not to have a statistically significant influence on consumption experience and customer satisfaction. In regard to a relation between consumption experience and customer satisfaction, the results showed that the former affects the latter, and in terms of intervening variables, both of these appeared to have a positive (+) effect on customer loyalty. Conclusions - This study suggests that family restaurants should look for strategies that focus on how to promote customer relationships. For example, restaurants could try birthday events or discount events to achieve this goal. Since the study ended up realizing relatively low levels of suitability and statistical significance, the path of the study changed. After all, in order to increase suitability and statistical significance, the study had to eliminate factors such as service quality and others and for this reason the study was unable to conduct the analysis as initially planned. In addition, the data samples of the research were mainly gathered from students, which made it hard to say that the analysis was carried out on samples from every different group. Future research should analyze the characteristics of each group of customers for factors affecting customer satisfaction and customer loyalty in the family restaurant chain.

수도작을 위한 적정 농기계 선정 전문가 시스템 개발(II) - 전문가 시스템 개발 - (Expert system for Selecting Optimized Farm Machinery in Rice Farming(II) - Development of Expert System -)

  • 이용범;조성인;배영민;신승엽;나우정
    • Journal of Biosystems Engineering
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    • 제22권3호
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    • pp.343-350
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    • 1997
  • In farm management, many factors should be considered to select optimum farm machinery Some factors such as fm size can be quantified, but other factors such as working experience can not be. Futhermore, as several factors are missed and assumptions are made for the selection using conventional computer programs, the result is sometimes questionable. This problem can be solved using artificial intelligent techniques such as expert system. In this study, an expert system was developed to select optimum machinery by considering available working days, machinery to on, farming environments, labor cost, population, etc. It also took into account the characteristics of machinery, turning radius, easiness of operation, subsidy, loan to purchase, asset. farmers age, Rest Metabolic Rate, and working experience, etc. Expertise and experience of human experts were utilized to develop the expert system. The developed expert system was evaluated by the human experts and others, and it was proved to be practically useful fir farmers.

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Spatial Information Based Simulator for User Experience's Optimization

  • Bang, Green;Ko, Ilju
    • 한국컴퓨터정보학회논문지
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    • 제21권3호
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    • pp.97-104
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    • 2016
  • In this paper, we propose spatial information based simulator for user experience optimization and minimize real space complexity. We focus on developing simulator how to design virtual space model and to implement virtual character using real space data. Especially, we use expanded events-driven inference model for SVM based on machine learning. Our simulator is capable of feature selection by k-fold cross validation method for optimization of data learning. This strategy efficiently throughput of executing inference of user behavior feature by virtual space model. Thus, we aim to develop the user experience optimization system for people to facilitate mapping as the first step toward to daily life data inference. Methodologically, we focus on user behavior and space modeling for implement virtual space.

무선망 특성을 고려한 효율적 비디오 스트리밍 재생률 선택 기술 (An Efficient Mobile Video Streaming Rate Selection Technique based on Wireless Network Characteristics)

  • 박수희
    • 한국멀티미디어학회논문지
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    • 제20권1호
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    • pp.1-9
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    • 2017
  • Explosive deployment of smart mobile devices such as smart phones, and tablets along with expansion of wireless internet bandwidth have enabled the deployment of mobile video streaming such that video traffic becomes the most important service in wireless networks. Recently, for more efficient video streaming services, the ISO MPEG group standardized a protocol called DASH (Dynamic Adaptive Streaming over HTTP) and the standard has been quickly adopted by many service providers such as YouTube and Netflix. Despite of the convenience of mobile streaming services, users also suffer from low QoE(Quality of Experience) due to dynamic channel fluctuations and unnecessary downloading due to high churning rates. This paper proposes a noble efficient video rate selection algorithm considering user buffer level, channel condition and churning rate. Computer simulation based performance study showed that the proposed algorithm improved the QoE significantly compared to a method that determines the video rate based on current channel conditions. Especially, the proposed method reduced the rebuffering rate, one of the most important performance factors of the QoE, to a nonnegligible level.

식물성 대체 유제품(Plant-based dairy alternatives)에 대한 채식주의자와 잡식주의자의 인식 및 소비행동 (Awareness and Consumption Behavior of Vegetarians and Omnivores on Plant-based dairy alternatives)

  • 신미래;오지은;조미숙
    • 한국식생활문화학회지
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    • 제38권3호
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    • pp.154-162
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    • 2023
  • This study investigated the awareness and consumption behavior of 118 vegetarians and omnivores toward plant-based dairy alternatives. The preference and choice attribute questionnaires were compared. Significant differences were obtained between the two groups when considering the purchase experience, preference, and selection attributes of plant-based dairy alternatives. Vegetarians had more experience purchasing plant-based dairy alternative products. In both groups, environmental and animal protection were the major factors that influenced the highest response rate for purchasing plant-based dairy alternatives. The preference score of vegetarians for plant-based dairy alternative products was high, indicating that vegetarianism had a significant effect on their preference for plant-based dairy alternative products. Analysis of selection attributes revealed that price, product weight, appearance, and manufacturer were considered important by vegetarians, whereas nutritional components and labeling, manufacturing environment, composition of ingredients, and taste and texture were considered more important by the omnivores. Results of this study can be used as basic data for the future development of the fast-growing industry producing plant-based dairy alternative products.

소비자 옴니채널 성향과 소비자-브랜드 관계에 관한 연구: 브랜드 경험 조절효과 (Effect of Omni-Channel Use and Customer-Brand Relationship)

  • 박승환
    • 유통과학연구
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    • 제14권11호
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    • pp.129-138
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    • 2016
  • Purpose - The ICT(information and communications technologies) development is affecting consumer behaviors on selecting channel or distribution system. This study aims to advance our knowledge about the factors influencing omni-channel behaviors. This study considers the positive brand experience as the moderating variable into the relationship between omini-channel use intention and consumer brand relation. Also, the effect of positive brand experience on consumer-brand relation is researched. Research design, data, and methodology - This study conducted an empirical test with the subject as customers who purchase goods or service through on-off cross channel simultaneously. The research model is developed from prior literatures about influencing variables on channel selection. The structure of this study is designed to identify causal relationships between the variables. 268 survey data from the questionnaire survey which is conducted to target customers who use online and offline channels, is used for empirical analysis. This study validates generality with descriptive statistics and data reliability with Cronbach's alpha value. The exploratory factor analysis is used for value purification. Then, the confirmatory factor analysis is conducted for structural equation modeling. Finally, the execute structural equation modeling is analyzed to confirm the hypotheses Results - First, the two causal influences between perceived performance risk and the propensity of omni-channel and between price consciousness and the propensity of omni-channel are verified through the empirical test. Second, the result identifies that the propensity of omni-channel is influenced on consumer-brand relationship. Third, the AMOS analysis proves that the moderating variable, positive brand experience, has significant positive impact on consumer-brand relationship. This significant relationship is highly supported by the regression analysis between brand experience and propensity of omni-channel because it results that positive brand experience has positive impact on the propensity of omni-channel. All hypotheses are verified to be true. Conclusions - Based on the empirical result, this study confirms that perceived performance risk and price consciousness are the important factors influencing propensity of omni-channel. According to the additional analysis, the moderating variable and positive brand experience plays important role between the propensity of omni-channel and consumer-brand relationship. Furthermore, positive brand experience influences more on consumer-brand relationship than non-positive brand experience.

건축 공사현장 유형별 최적 거푸집 공법선정을 위한 정량적 의사결정 지원모델 개발 (Development of Quantitative Decision Support Model for Optimal Form-Work Based on Construction Site Type)

  • 김오형;차희성
    • 한국건설관리학회논문집
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    • 제20권4호
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    • pp.56-68
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    • 2019
  • 거푸집 공사는 전체 건축공사의 공사기간 및 공사비 측면에서 상당 부분을 차지하고 있으며, 구조물공사의 품질, 마감 및 설비 등 후속공사에도 직접적인 영향을 미치는 매우 중요한 공정이다. 그러나 국내 건설현장에서의 거푸집 공법선정은 객관적인 데이터를 바탕으로 하지 않고, 현장 실무자의 경험과 직관에 의존하여 이루어지는 경우가 대부분이다. 그 결과, 다수의 현장에서 공기단축, 비용절감 등의 효과가 큰 신공법을 적용하고자 할 경우, 객관적이고 합리적인 의사결정 절차의 부재로 인해 최적 공법선정 시 어려움을 겪을 뿐만 아니라, 현장의 특성을 고려하지 못한 의사결정으로 인해 공기지연, 비용증대 등의 문제가 발생하고 있는 실정이다. 이러한 문제를 해결하기 위해 거푸집 공법선정과 관련한 다양한 선행연구가 이루어졌으나 현장조건이라는 중요한 요인을 고려하지 못해 실제 현장에서 적용하여 활용하기에 다소 한계성이 있었다. 따라서 본 연구는 현장 유형별 조건을 고려한 정량적 거푸집 선정 의사결정 지원 모델 개발을 그 최종 목적으로 한다. 개발된 의사결정 지원 모델은 공사현장에서 거푸집 선정 의사결정시 정량적인 평가 데이터를 제공함으로써, 기존의 경험에 의존하여 결정하던 의사결정 방법보다 신속하고 객관적으로 최적의 거푸집 공사를 선정 할 수 있도록 도울 것으로 사료된다. 또한, 경험이 풍부하지 않은 엔지니어도 본 연구의 의사결정 지원모델을 활용하여 현장의 조건을 고려한 보다 객관적이고 합리적인 의사결정을 내릴 수 있을 것으로 기대된다.