• 제목/요약/키워드: Identify

검색결과 38,465건 처리시간 0.054초

RFID 시스템에서의 태그 보안을 위한 경량화 프로토콜의 분석 (Analyses of Light-weight Protocol for Tag Security in RFID System)

  • 김정태
    • 한국정보통신학회논문지
    • /
    • 제15권11호
    • /
    • pp.2399-2403
    • /
    • 2011
  • RFID 는 유비쿼터스 환경하에서 필수불가결한 기술이 되도 있다. 그러나 RFID 의 본질적인 단점으로 인하여 프라이버시와 같은 보안적인 취약점을 기자고 있다. 따라서 본 논문에서는 RFID 시스템의 관점하에서 태그에서의 보안적인 취약점 및 이럴 해결하기 위한 여러 가지의 프로토콜에서의 문제점을 분석하였다. 최근에는 반도체 공정 기술의 발전과 경량화프로토콜의 발전으로 인하여 태그에서의 보안성이 향상되고 있는 중이다.

패션기업 재직자를 위한 평생교육으로서의 패션교육 (University lifelong education for the fashion company employees)

  • 박혜정
    • 복식문화연구
    • /
    • 제22권1호
    • /
    • pp.55-72
    • /
    • 2014
  • The purpose of this study is to identify the key decision-making variables that lead fashion company employees to participate in the fashion education programs offered by university lifelong education centers. This study also examined the education satisfaction level and preferred education method and evaluated a university lifelong education program by surveying a fashion company employees who completed a fashion education program. As decision making variables, this study included participation purposes, obstacles, and evaluation criteria. While questionnaires were used to identify the decision making variables, education satisfaction level, and preferred education method, focus group interviews were used to evaluate the university lifelong education program. The findings showed that the respondents enrolled in the program mostly because of personal motivations and considered the workload and time limitation as participating obstacles. They considered educational content as the most important evaluation criteria for participating in the program and were highly satisfied with the program they completed. This study suggests how university lifelong education centers may structure their fashion education programs to better appeal to the employees of fashion companies.

다양한 IT기반 서비스 분야에서의 품질 결정요인에 관한 비교 연구 (A Comparison Study on Quality Factors of Various IT-based Service Areas)

  • 김종수
    • 산업경영시스템학회지
    • /
    • 제36권4호
    • /
    • pp.84-91
    • /
    • 2013
  • For service innovation, it is crucial to measure the quality of service and identify the factors which affect it. In this study, for that purpose, a composite research model based on SERVQUAL and the technology acceptance model is proposed. The model is applied to three different service areas-Internet shopping, Internet banking, and cloud service. Analysis has been performed using the SEM methodology. The analysis shows that reliability, responsiveness and assurance affects the service quality in different ways for each, the result of which enables us to identify quality-determining factors in various service areas.

Fuzzy polynomial neural network model and its application to wastewater treatment system

  • Oh, Sung-Kwun;Choi, Jae-Ho;Ahn, Tae-Chon;Hwang, Hyung-Soo
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 제어로봇시스템학회 1996년도 Proceedings of the Korea Automatic Control Conference, 11th (KACC); Pohang, Korea; 24-26 Oct. 1996
    • /
    • pp.185-188
    • /
    • 1996
  • In this paper, a fuzzy PNN algorithm is proposed to estimate the structure and parameters of fuzzy model, using the PNN based on GMDH algorithm. New algorithm uses PNN algorithm and fuzzy reasoning in order to identify the premise structure and parameter of fuzzy implications rules, and the leastsquare method in order to identify the optimal consequence parameters. Both time series data for gas furnace and data for wastewater treatment process are used for the purpose of evaluating the performance of the fuzzy PNN. The results show that the proposed technique can produce the fuzzy model with higher accuracy than other works achieved previously.

  • PDF

퍼지신경망을 이용한 비선형 데이터 모델링에 관한 연구 (A study on nonlinear data-based modeling using fuzzy neural networks)

  • 권오국;장욱;주영훈;최윤호;박진배
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
    • /
    • pp.120-123
    • /
    • 1997
  • This paper presents models of fuzzy inference systems that can be built from a set of input-output training data pairs through hybrid structure-parameter learning. Fuzzy inference systems has the difficulty of parameter learning. Here we develop a coding format to determine a fuzzy neural network(FNN) model by chromosome in a genetic algorithm(GA) and present systematic approach to identify the parameters and structure of FNN. The proposed FNN can automatically identify the fuzzy rules and tune the membership functions by modifying the connection weights of the networks using the GA and the back-propagation learning algorithm. In order to show effectiveness of it we simulate and compare with conventional methods.

  • PDF

Contribution of institutional shocks to Tunisian macroeconomic fluctuations: Structural VAR approach

  • Zouhaier, Hadhek
    • 동아시아경상학회지
    • /
    • 제1권1호
    • /
    • pp.8-16
    • /
    • 2013
  • Purpose: The objective of this paper is to identify and assess the contribution of budgetary, monetary and institutional shocks affecting the Tunisian economy over the period 1976-2003. The methodology used is vector autoregressive models and structural recent techniques for the analysis of time series related. The empirical results show a significant relationship between the supply shock and institutions on the one hand, and between institutional shocks and economic activity on the other hand. Research Design, Data and Methodology: As part of this section we will try to identify and assess the contribution of various shocks to macroeconomic variables' fluctuations for the Tunisian economy. The study period is: 1976-2003 and observations are annual. Results: The real business cycle theory argues that fluctuations in aggregate economic activity are the result of the interaction of the only real factors namely agents' preferences, technological opportunities, factor endowments and possibly certain institutional constraints. Conclusions: The lowest contribution to the variability of these rights is the monetary shock. As for "civil liberties", the largest share of their variability is the shock relating to the "political rights" during the first four periods .

환자 안전 역량을 위한 수혈 시뮬레이션에서 간호학부생의 오류 발생과 복구 수준 (Nursing Students' Error and Recovery in Transfusion Simulation for Safety Competency)

  • 김은정
    • 기본간호학회지
    • /
    • 제22권2호
    • /
    • pp.180-189
    • /
    • 2015
  • Purpose: The purpose of this study was to identify the types of errors that occurred and were recovered in a simulated transfusion scenario by nursing students. Methods: Twenty-eight teams of a total of 89 nursing students participated in a transfusion simulation using a high fidelity simulator. Data were collected by observing rule based errors and built in errors recovered according to the framework of Eindhoven model. Reflective journaling was used to identify perceived safety-threatening errors and commitment to improvement. Data were analyzed using descriptive statistics. Results: All teams committed the rule based errors in the scenario. The most common errors occurred in the coordination category related to communication with physician. Most of students perceived the transfusion reaction as a safety-threatening error. Conclusion: The findings indicate that students lack patient safety competence. The simulation training to decrease errors and improve safe practice provides nursing students with an effective strategy to develop patient safety competence.

퍼지-신경회로망과 신경회로망의 혼합동정에 의한 비선형 제어기 설계 (Nonlinear Controller Design by Hybrid Identification of Fuzzy-Neural Network and Neural Network)

  • 이용구;손동설;엄기환
    • 전자공학회논문지B
    • /
    • 제33B권11호
    • /
    • pp.127-139
    • /
    • 1996
  • In this paper we propose a new controller design method using hybrid fuzzy-neural netowrk and neural network identification in order ot control systems which are more and more getting nonlinearity. Proposed method performs, for a nonlinear plant with unknown functions, hybird identification using a fuzzy-neural network and a neural network, and then a stable nonlinear controller is designed with those identified informations. To identify a nonlinear function, which is directly related to input signals, we can use a neural network which is satisfied with the proposed stable condition. To identify a nonlinear function, which is not directly related to input signals, we can use a fuzzy-neural network which has excellent identification characteristics. In order to verify excellent control performances of the proposed method, we compare the porposed control method with a conventional neural network control method through simulations and experiments with one link manipulator.

  • PDF

A study on the Selection Attributes of Accommodation Applications

  • Kim, Kyu-dong;Jeon, Se-hoon;Kim, Jeong-lae
    • International journal of advanced smart convergence
    • /
    • 제8권4호
    • /
    • pp.130-137
    • /
    • 2019
  • We conducted this study to identify the composition factors for consumers' selection attributes of accommodation applications and to identify the differences in the selection attributes perception of accommodation applications based on demographic characteristics and use status. According to the study, 6 factors were derived as the components of the selectivity of accommodation application and were named convenience, interactivity, economic efficiency, transaction reliability, product reliability and informativeness. And the respondents differed in their selection attributes perception of the accommodation application they used. In particular, it was found that the highest perception of informativeness and interactivity, and the lowest perception of product reliability. Finally, there were differences in the selection attributes perception of the accommodation application they used by demographic characteristics and use status. Based on the results of this study, we should strive to derive the effective marketing strategy needed for travel industry-related companies.

상수관망의 부분적 격리를 위한 제수밸브 탐색 알고리듬 (An Algorithm for Searching On-Off Valves to Isolate a Subsystem in a Water Distribution System)

  • 전환돈;김중훈
    • 상하수도학회지
    • /
    • 제20권1호
    • /
    • pp.35-43
    • /
    • 2006
  • Concerns related to protecting, identifying, and isolating of subsystems of a water distribution network have led to the realization of the increased importance of valves in the system. The most important purpose of valves in water distribution systems is to isolate a subsystem due to breakage, maintenance activities, or contamination. A subsystem called segment is isolated by the closure of adjacent valves. Minimizing the pipe failure impact, an efficient algorithm is required to identify adjacent valves quickly. In this paper, an algorithm to identify adjacent valves to be closed to isolate a subsystem from the remainder of a network when a pipe failure is presented. The algorithm is operated on a matrix called the valve location matrix containing the information of valve locations. An application to an existing water distribution system demonstrates the developed algorithm efficiently locates the adjacent valves for the isolation of a broken pipe.