12,580 research outputs found

    Measuring and analyzing German and Spanish customer satisfaction of using the iPhone 4S Mobile Cloud service

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    This paper presents the customer satisfaction analysis for measuring popularity in the Mobile Cloud, which is an emerging area in the Cloud and Big Data Computing. Organizational Sustainability Modeling (OSM) is the proposed method used in this research. The twelve-month of German and Spanish consumer data are used for the analysis to investigate the return and risk status associated with the ratings of customer satisfaction in the iPhone 4S Mobile Cloud services. Results show that there is a decline in the satisfaction ratings in Germany and Spain due to economic downturn and competitions in the market, which support our hypothesis. Key outputs have been explained and they confirm that all analysis and interpretations fulfill the criteria for OSM. The use of statistical and visualization method proposed by OSM can expose unexploited data and allows the stakeholders to understand the status of return and risk of their Cloud strategies easier than the use of other data analysis

    [[alternative]]A Study of Program Planning for the Teacher-Chang College of Psychology

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    [[abstract]]A Study of Program Planning for the Teacher-Chang College of Psychology Ya-Yen Chang Abstract The purpose of this study was to understand the program planning practices of the College of Psychology and tried to plan an ideal program finally. The qualitative study approach and the questionnaire investigation were adopted to examine the Teacher-Chang College of Psychology program. The program planners were interviewed concerning their beliefs of the program goals, the curriculum design of the programs and their evaluation procedures. Through interviews and questionnaire investigations the findings are as follows: 1. People didn’t know the Teacher-Chang College of Psychology very well. 2. The recruiting of lecturers were mainly inner teachers. The groups and workshops were their main curriculum style. The curriculum contents were almost about self-growth and human relationship. The problem of curriculum design was that the Teacher-Chang College of Psychology didn’t have steady lecturer recruit. 3. The Teacher-Chang College of Psychology didn’t have enough program planners and program planners didn’t have enough ability. However there was a discrepancy between the head of Teacher-Chang and other centers. 4. There were not concrete marketing strategy and experts. Marketing strategy is to use old-fashioned media. 5. The main evaluation was quantitative and interview, while qualitative evaluation and whole program evaluation were being neglected. Key words: Program planning, Teacher-Chang, adult education, College of Psychology

    Automating strategies of emergency operation for optimal shutdown in pressurized water reactors

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    In this paper, the automating strategies of emergency operation are proposed for achieving optimal shutdown in pressurized water reactors, These strategies can make emergency operation optimal, and as well they considerably lengthen the operator response time, Decision-making and control are investigated in order to develop the automating strategies, In decision-making, diagnostic trees are established to automate the diagnostic tasks for selecting appropriate emergency operations, and the decision-making procedure is developed to automate some decisions which must be made on a plant-and event-specific basis, In control, cooldown is planned by establishing operational goals, forming strategies, and specifying operational means and constraints, The reference set points of the controlled parameters are adaptively adjusted through fuzzy reasoning for optimal cooldown and depressurization. The validation of the proposed strategies was carried out using the micro-simulator for the Kori Unit 2 with steam generator tube rupture events, The results indicated that the automated emergency operation successfully drove the plant at full power to a cold shutdown state with all the operational constraints satisfied

    Thermal power estimation by fouling phenomena compensation using wavelet and principal component analysis

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    A small percentage of reactor thermal power can be overestimated because of fouling phenomena in a secondary feedwater flowmeter. This study proposes a signal processing technique for the compensation of a degraded flowmeter such a secondary feedwater flowmeter in nuclear power plants. The technique proposed is mainly focused on noise classification and step-by-step noise reduction. The noises focused are classified into the rapid distortion caused by environmental interference, the flow fluctuation according to plant state transition and the degradation by fouling phenomena qualitatively. The multi-step de-noising technique reduces each noise by three techniques step-by-step. The wavelet analysis as a low frequency pass filter to remove the rapid distortion, the linear principal component analysis (PCA) to pl edict a steady-state value from the fluctuation, and the non-linear PCA implemented as an autoassociative neural network (AANN) to predict an original value from the signal including fouling phenomena are developed. The main purpose of this approach is to make an AANN concentrate on compensating the degradation by fouling phenomena itself. For the demonstration the signals from a simulator and signal modeling were used so that the role and the performance of each noise removal step was represented. In addition a thermal power deviation estimator is proposed to recognize the degradation effect of each operating parameter for reactor thermal power calculation. (C) 1000 Published by Elsevier Science S.A. All rights reserved

    Experimental measurement of the electron energy distribution function in the radio frequency electron cyclotron resonance inductive discharge

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    Recently, the existence of electron cyclotron resonance (ECR) in a weakly magnetized inductively coupled plasma (MICP) has been evidenced [ChinWook Chung , Phys. Rev. Lett. 80, 095002 (2002)]. The distinctive feature of the ECR effect in the MICP is efficacious heating of low-energy electrons. In the present paper, electron heating characteristics in the MICP have been investigated by observing electron energy distribution function dependencies on various external parameters such as gas pressure, driving frequency, and rf power (electron density). It is found that the ECR effect on electron heating becomes enhanced with decreasing pressure or increasing driving frequency. The ECR heating becomes weak at high rf power due to the electron-electron collisions
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