• 제목/요약/키워드: Data Utility

검색결과 1,222건 처리시간 0.029초

한국과 중국 대학생의 물질주의성향과 의복태도에 관한 비교연구 (A Comparative Study on the Materialism and Clothing Attitudes of Korean and Chinese University Students)

  • 김용숙
    • 복식
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    • 제53권8호
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    • pp.11-20
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    • 2003
  • The purpose of this study was to compare the Korean and Chinese university students' materialism and clothing attitudes. Self-administered questionnaires developed by researcher were used and the research periods were from Feb. 20 to Mar. 19, 2003. 429 Korean and 405 Chinese students's data was used for analysis. Cluster analysis, one-way ANOVA, t-test, and discriminant analysis were done. Korean students pursuited happiness more than utility and accomplishment, but Chinese students pursuited accomplishment more than happiness and practicality. The students were divided into the happiness pursuit, the utility pursuit, and the accomplishment pursuit. The group size of the utility pursuit and the happiness pursuit among Korean students and the utility pursuit and the accomplishment pursuit among Chinese students were larger. Korean students preferred fashionability, psychological dependence, sexual attraction of clothing more, but Chinese preferred conformity more. Utility and accomplishment of materialism, and fashionability and conformity of clothing were strong variables which discriminated Korean students from Chinese students, and total discriminating power was 77.1%.

A cache placement algorithm based on comprehensive utility in big data multi-access edge computing

  • Liu, Yanpei;Huang, Wei;Han, Li;Wang, Liping
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권11호
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    • pp.3892-3912
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    • 2021
  • The recent rapid growth of mobile network traffic places multi-access edge computing in an important position to reduce network load and improve network capacity and service quality. Contrasting with traditional mobile cloud computing, multi-access edge computing includes a base station cooperative cache layer and user cooperative cache layer. Selecting the most appropriate cache content according to actual needs and determining the most appropriate location to optimize the cache performance have emerged as serious issues in multi-access edge computing that must be solved urgently. For this reason, a cache placement algorithm based on comprehensive utility in big data multi-access edge computing (CPBCU) is proposed in this work. Firstly, the cache value generated by cache placement is calculated using the cache capacity, data popularity, and node replacement rate. Secondly, the cache placement problem is then modeled according to the cache value, data object acquisition, and replacement cost. The cache placement model is then transformed into a combinatorial optimization problem and the cache objects are placed on the appropriate data nodes using tabu search algorithm. Finally, to verify the feasibility and effectiveness of the algorithm, a multi-access edge computing experimental environment is built. Experimental results show that CPBCU provides a significant improvement in cache service rate, data response time, and replacement number compared with other cache placement algorithms.

고장 표정 알고리즘에 적합한 원형 웨이브릿 변환 (Mother Wavelet Transform Suitable to Fault Method Algorism)

  • 박인덕;이승환;김시경
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2009년도 제40회 하계학술대회
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    • pp.62_63
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    • 2009
  • This paper is distribution utility to generation of analysis fault several cases on the ground of substation in a energy meter three phase current, voltage data measurement to fault type and characteristics. Mother wavelet transformation of suitable to method algorism from the distribution utility to generation of fault in image impedance etc several parameter for utility characteristics effective to probatory.

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Data reconciliation and optimization of utility plants for energy saving

  • Lee, Moo-Ho;Kim, Jeong-Hwan;Chonghun Han;Chang, Kun-Soo;Kim, Seong-Hwan;You, Sang-Hyun
    • 한국에너지공학회:학술대회논문집
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    • 한국에너지공학회 1997년도 추계학술발표회 논문집
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    • pp.17-23
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    • 1997
  • A methodology for on-line data reconciliation and optimization has been proposed to minimize the energy cost of a utility system. As industrial data tend to be corrupted by noise or gross error, fast and robust data reconciliation technique is essential for the on-line optimization of utility system. Thus, we propose the hierarchical decomposition approach that can be applicable to on-line data reconciliation and optimization. As this approach divides whole system into several subsystems and removes the nonlinearity of constraint systematically, it handles complexity of system easily and shows good performance in accuracy and computation speed. Through case studies, we prove that this methodology is a good candidate for on-line data reconciliation and optimization.

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Design and evaluation of a fuzzy cooperative caching scheme for MANETs

  • Bae, Ihn-Han
    • Journal of the Korean Data and Information Science Society
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    • 제21권3호
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    • pp.605-619
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    • 2010
  • Caching of frequently accessed data in multi-hop ad hoc environment is a technique that can improve data access performance and availability. Cooperative caching, which allows sharing and coordination of cached data among several clients, can further en-hance the potential of caching techniques. In this paper, we propose a fuzzy cooperative caching scheme in mobile ad hoc networks. The cache management of the proposed caching scheme not only uses adaptively CacheData or CachePath based on data sim-ilarity and data utility, but also uses the replacement manager based on data pro t. Also, the proposed caching scheme uses a prefetch manager. When the TTL of the cached data expires, the prefetch manager evaluates the popularity index of the data. If the popularity index is larger than a threshold, the data is prefetched. Otherwise, its space is released. The performance of the proposed scheme is evaluated analytically and is compared to that of other cooperative caching schemes.

의료 비정형 텍스트 비식별화 및 속성기반 유용도 측정 기법 (De-identifying Unstructured Medical Text and Attribute-based Utility Measurement)

  • 노건;전종훈
    • 한국전자거래학회지
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    • 제24권1호
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    • pp.121-137
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    • 2019
  • 비식별화는 데이터셋으로부터 개인정보를 제거함으로써 개인을 식별할 수 없도록 하는 방법으로, 정보를 수집, 가공, 저장, 배포하는 과정에서 발생할 수 있는 개인정보 노출 위험도를 낮추기 위해 사용한다. 그간 비식별화와 관련된 알고리즘, 모델 등의 관점에서 많은 연구가 이루어졌지만, 대부분은 정형 데이터를 대상으로 하는 제한적인 연구로, 비정형 데이터에 대한 고려는 상대적으로 많지 않은 실정이다. 특히 비정형 텍스트가 빈번히 사용되는 의료 분야의 경우에서는 개인 식별 정보들을 단순 제거함으로써 개인정보 노출 위험도는 낮추지만, 그에 따른 데이터 활용성이 떨어지는 점을 감수하는 실정이다. 본 연구는 개인정보 보호 이슈가 가장 중요하고 따라서 비식별화가 활발하게 연구되고 있는 의료분야 데이터 중 비정형 텍스트를 대상으로 k-익명성 보호모델을 적용한 비식별화 수행 방안을 제시하고, 비식별화 결과에 대한 새로운 유용도 측정 기법을 제안하여 이를 통해 직관적으로 데이터 활용성을 판단할 수 있도록 하는 것을 목표로 한다. 따라서 본 연구의 결과물이 의료 분야뿐만 아니라 비정형 텍스트가 활용되는 모든 산업 분야에서 활용될 경우, 개인 식별 정보가 포함된 비정형 텍스트의 활용도를 향상시킬 수 있을 것으로 기대한다.

스마트 전력 기기의 온도 분석에 관한 연구 (A Study on Temperature Analysis for Smart Electrical Power Devices)

  • ;이명배;김영현;박명혜;이승배;박장우;조용윤;신창선
    • 정보처리학회논문지:컴퓨터 및 통신 시스템
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    • 제6권8호
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    • pp.353-358
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    • 2017
  • 전신주와 같은 전력 설비에는 스마트한 서비스를 위한 다양한 종류의 센서가 포함되어 있으며, 온도 정보는 전력 설비의 정상 동작 상태를 판단하는 중요한 요소 중 하나이다. 본 연구에서는 칼만 필터(Kalman Filter)와 앙상블 모델(Ensemble Model)을 이용해 스마트 전력 장치의 상태를 판단할 수 있도록 장치의 온도 분석 방법을 제안했다. 제안 된 접근 방식은 서로 다른 위치에 설치된 센서로 부터 수집된 정보 중 온도 데이터를 분류하고 칼만필터 및 앙상블 모델을 사용하여 온도 변화의 특성을 분석했다. 세부적으로 수집된 온도 데이터로부터 기상 온도 데이터와 같은 외부 인자를 제거하고 전력 장치의 각 위치로부터의 실제 장치의 온도값만을 분석했으며, 이 과정에서 칼만필터를 사용하여 오류 데이터를 제거하고 앙상블 모델을 사용하여 매 시간 정상 동작하는 전력 설비의 온도 평균값을 산출했다. 온도 분석에 대한 결과와 논의는 전력 데이터에 분석 결과에 명확하게 설명되어 있다. 마지막으로, 분석된 데이터를 통해 전력 장치가 정확히 동작하는 지를 판단할 수 있는 온도값의 정상범위를 확인하였다.

VE/LCC 분석을 통한 공동구 수용시설물의 최적 대안 결정 기법 (Optimal alternative decision technique of accommodation facility in multi-utility tunnel using VE/LCC analysis)

  • 심영종;진규남;오원준;조중연
    • 한국터널지하공간학회 논문집
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    • 제20권2호
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    • pp.317-329
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    • 2018
  • 기존의 공동구에 관한 연구에서는 공동구 내부의 수용시설물들의 최적설계 및 타당성 분석 보다는 공동구 설치와 관련된 전반적인 사항에 대하여 검토 하였다. 공동구 도입과 관련된 기본계획 단계에서의 관련 지표 및 자료 등의 부족으로 수용시설물을 결정하기가 어려운 한계점을 해결하고자, 본 논문에서는 공동구 내 수용시설물의 최적 대안 결정을 위하여 VE/LCC 분석 방법을 제시하였다. 개별 수용시설물의 항목에 대한 분석 및 LCC 비용에 대한 가치지수를 종별 대안에 적용하여 검토 하였으며, 각 종별 우선순위를 분석하였다. 또한, 국내 공동구와 각 종별 시설물의 분석된 결과를 비교하였으며, 본 연구의 결과는 공동구의 도입 시에 최초 설계자를 포함한 사용자들이 수용시설물을 결정하는 과정에서 소요되는 시간을 단축하고 편의성을 높이는데 도움이 될 것으로 판단된다.

Therapeutic lumbar facet joint nerve blocks in the treatment of chronic low back pain: cost utility analysis based on a randomized controlled trial

  • Manchikanti, Laxmaiah;Pampati, Vidyasagar;Kaye, Alan D.;Hirsch, Joshua A.
    • The Korean Journal of Pain
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    • 제31권1호
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    • pp.27-38
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    • 2018
  • Background: Related to escalating health care costs and the questionable effectiveness of multiple interventions including lumbar facet joint interventions, cost effectiveness or cost utility analysis has become the cornerstone of evidence-based medicine influencing coverage decisions. Methods: Cost utility of therapeutic lumbar facet joint nerve blocks in managing chronic low back pain was performed utilizing data from a randomized, double-blind, controlled trial with a 2-year follow-up, with direct payment data from 2016. Based on the data from surgical interventions, utilizing the lowest proportion of direct procedural costs of 60%, total cost utility per quality adjusted life year (QALY) was determined by multiplying the derived direct cost at 1.67. Results: Patients in this trial on average received $5.6{\pm}2.6$ procedures over a period of 2 years, with average relief over a period of 2 years of $82.8{\pm}29.6$ weeks with $19{\pm}18.77$ weeks of improvement per procedure. Procedural cost for one-year improvement in quality of life showed USD $2,654.08. Estimated total costs, including indirect costs and drugs with multiplication of direct costs at 1.67, showed a cost of USD $4,432 per QALY. Conclusions: The analysis of therapeutic lumbar facet joint nerve blocks in the treatment of chronic low back pain shows clinical effectiveness and cost utility at USD $2,654.08 for the direct costs of the procedures, and USD $4,432 for the estimated overall cost per one year of QALY, in chronic persistent low back pain non-responsive to conservative management.

다속성 효용이론을 활용한 중국시장에서의 인터넷 의료정보 서비스 선호속성 분석 (An Analysis of Consumer Preferences for Internet Medical Information Service in China Using the Multi-Attribute Utility Theory)

  • 김경환;장영일
    • Journal of Information Technology Applications and Management
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    • 제16권4호
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    • pp.93-107
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    • 2009
  • This study investigated consumer preferences for Internet medical information service in China using the multi-attribute utility theory. The multi-attribute utility theory is a compositional approach for modeling consumer preferences wherein researchers calculate the overall service utility by summing up the evaluation results for each attribute. We found that Chinese Internet medical information users consider the availability of information and quick response to be the most important attributes. Further, they think that the comment feature is less important as compared to other attributes such as costs and updates. In addition, we found that the Internet users having more Internet experience consider these attributes to be more important as compared to the people who are just beginning to surf the Internet. For any successful Internet business, Internet marketers should assess individual-level preference and accordingly organize a fresh campaign. As of now, Internet marketers need estimation methods to predict the market performance of new services in many different business environments. We believe that the multi-attribute utility theory is a useful approach in this regard.

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