Online Evaluation System Research Articles

Photoemission stability of negative electronaffinity GaN phtocathode

The spectral response and quantum yield curve of reflection mode GaN photocathode just after Cs, O activation and Cs reactivation was achieved by using the online multi-information measurement and evaluation system. Also the attenuation in photocurrent under the radiation of 300 nm light is measured every hour.The result indicates that GaN photcathdoe are much more stable than narrow band material. The photocurrent peak increased by 16.8% after Cs reactivation which demonstrates the reason of the QE attenuation is the Cs desorption on the Cs, O adlayer of surface. This can be explained by a double dipole layer model :Cs-O whose stability determines the stability of GaN photocathode.

Jefferson Medical College of Thomas Jefferson University

Jefferson Medical College of Thomas Jefferson University

Using fast adaptive neural network classifier for mutual fund performance evaluation

Application of financial information systems requires instant and fast response for continually changing market conditions. The purpose of this paper is to construct a mutual fund performance evaluation model utilizing the fast adaptive neural network classifier (FANNC), and to compare its performance in classification and forecasting with those from a backpropagation neural network (BPN) model. FANNC is a newly-developed model which combines features of adaptive resonance theory and field theory. In our experiment, the FANNC approach requires much less time than the BPN approach to evaluate mutual fund performance. RMS is also superior for FANNC. These results hold for both classification problems and for prediction problems, making FANNC ideal for financial applications which require massive volumes of data and routine updates. Consequently, an on-line evaluation system can be established to provide real-time mutual fund performance for investors.

Knowledge Assessment: Distribution of Answers to an Online Quizzed System

Number of correct answers and time spent by the students enrolled at Faculty of Materials Science and Engineering from Technical University of Cluj-Napoca and attending at Materials Chemistry discipline answering to a multiple choice multiple answer online evaluation system were analyzed. The analysis shown that the evaluation characteristics it follow a lifetime distribution.

A finite element program for on-line life assessment of critical plant components

An on-line structural safety evaluation system (BOSSES) has been developed over the years at Bhabha Atomic Research Centre (BARC), India, which is capable of assessing the damage due to creep and fatigue in critical plant components. The system acquires plant transients in real time and processes them to evaluate the stress, temperature and damage distribution in the components and provides information through a visual module. The aim of the paper is to briefly describe the details of the damage assessment methodology adopted by BOSSES with some case studies of real life plant components.

Online Resources for Assessment and Evaluation

The Accreditation Council for Graduate Medical Education and the Liaison Committee on Medical Education have mandated the transition from written global evaluation methods to competency-based assessments in resident and medical student training. Assessment of competency requires analysis of performance data from numerous sources. This article reviews characteristics of Web-based evaluation and assessment systems and recommends areas for further development. The authors review functions common to a variety of online evaluation and curriculum management systems with attention to their adaptation for competency documentation and assessment. Details of online global assessments, examination methods, electronic portfolios, procedure/case logs, and survey systems are provided along with a list of Internet resources. Online evaluation and assessment systems not only provide data on trainee competence but can provide valuable feedback on faculty teaching, curriculum quality, and the learning environment. Suggestions for future development, legal ambiguities that could become obstacles, and the need to clarify the responsibility for funding this work are discussed. Web-based performance assessment and evaluation are seen in the larger context of moving toward competency assessment of practicing physicians. Online assessment systems offer advantages over paper systems in allowing robust data analysis, reporting, and flexibility. A national online procedure/case log tracking system would facilitate gathering data that could provide one type of experiential benchmark for determining competency.

An Online Evaluation of Problem-based Learning (PBL) in Chung Shan Medical University, Taiwan – A Pilot Study

Problem-based learning (PBL) embraces principles of good learning and teaching. It is student-directed, fosters intrinsic motivation, promotes active learning, encourages peer teaching, involves timely feedback, and can support student self and peer assessment. The most important function of the assessment process is to enhance student learning, to improve the curriculum and to improve teaching. To improve the PBL tutorial in Chung Shan Medical University, we developed an online evaluation system containing the evaluation forms for students, tutor, self and peer. The Cronbach alpha reliability coefficients were 0.9480, 0.9103, and 0.9198 for the Student, Tutor and Self and Peer Evaluation Form, respectively. The online evaluations were mandatory to both students and tutors, and the information was completely anonymous. The survey response rates of the online evaluations ranged from 95.6% to 100%. The online evaluations provided a documented feedback to the students on their knowledge, skills and attitudes. Correspondingly, tutors too received feedback from students in evaluating their performance on the appropriateness and effectiveness of tutoring the group. Although there was an initial lack of coordination regarding responsibilities and how to use the online system for both students and the Faculty, the system enabled us to look into how effective our PBL course had been, and it provided both process and outcome evaluations. Our strategy for evaluating the success of PBL is only at its initial stage; we are in an ongoing process of collecting outcome data for further analysis which will hopefully provide more constructive information to the PBL curricula.

A Novel Noninvasive Ultrasonic Method to Assess Avocado Ripening

ABSTRACT: A novel method to assess the ripening state of Persea Americana Mill avocados was developed. The method was validated and its results compared with standard ones such as the penetrometer method. Also, comparison were made between the proposed method and the ultrasonic system reported by other authors. The correlation between the proposed method and both the standard and former ultrasonic method is quite good. The measurement system overcomes the problem of alignment between the emitter and receiver found in the resent execution development for the same purposes. Extension of proposed systems could allow the measurement with a single ultrasonic source and possibility the development of an online evaluation system for all the fruits.

Genetic algorithm based multi-agent system applied to test generation

Automatic test generating system in distributed computing context is one of the most important links in on-line evaluation system. Although the issue has been argued long since, there is not a perfect solution to it so far. This paper proposed an innovative approach to successfully addressing such issue by the seamless integration of genetic algorithm (GA) and multi-agent system. In the design phase, a test ontology was firstly defined for smoothing the communication among agents. For the implementation of GA, The fitness function and the structure of chromosome were identified on the basis of the analysis of constraint conditions associated with a test. To demonstrate the task execution flow and messages passing among agents, the activity diagram and sequence diagram were also shown on the AUML basis. In the phase of implementation, the JADE based agent behavior model was described in detail and the implementation platform was also demonstrated. The final simulation results validated the feasibility of the proposed approach.

Aggregating partial, local evaluations to achieve global ranking

We analyze some voting models mimicking online evaluation systems intended to reduce the information overload. The minimum number of operations needed for a system to be effective is analytically estimated. When herding effects are present, linear preferential attachment marks a transition between trustful and biased reputations.

Aggregating partial, local evaluations to achieve global ranking

We analyze some voting models mimicking online evaluation systems intended to reduce the information overload. The minimum number of operations needed for a system to be effective is analytically estimated. When herding effects are present, linear preferential attachment marks a transition between trustful and biased reputations.

Development of a Predictive Tissue Discolouration Model based on Electronic Potato Impacts

Farmers, processors and manufacturers of potato-handling equipment have a strong need for fast support systems to analyse and to evaluate the bruising risk while handling potatoes. The abundance of influencing factors, their interactions and the complex relationships between mechanical impacts and the resulting tissue discolouration, however, hamper an easy solution. The main objectives of this work were the introduction and construction of a frame of reference for the PTR 200 electronic potato and the development of a predictive tissue discolouration model taking into account both impact energy level and a reduced number of potato bruise susceptibility parameters. The attention was mainly focussed on dry matter content and tuber temperature as influencing factors because of their fast determination possibilities, which is essential for an on-line evaluation and support system. In the 2000, 2001 and 2002 harvesting seasons, field experiments were carried out with seven potato varieties on harvesters and storage lines using the PTR 200 electronic potato. For each harvester or storing line the individual energy levels of the impacts were measured and the values were used to compute a general energy level, set as a sensor index I S . Produce samples were taken at several points in the processing chain and analysed for tissue discolouration and dry matter content. Both characterisations resulted in average values for energy level, discolouration and dry matter content. Tuber temperature, cultivar differences and—in some cases—potassium (K) content of the tubers were taken into account. Multiple linear regressions were performed and analysed. The regression models showed moderate coefficients of determination. On the basis of the statistical models, discolouration prediction intervals were computed for new measurements with the PTR 200. This allowed the prediction of tissue discolouration in potato by means of PTR 200 measurement results. Due to the limited number of bruise susceptibility factors in the models, the seasonal and biological variability and the moderate coefficients of determination, prediction intervals are rather wide which limits the predictive power of the models.

Automatic recognition and evaluation of micro-contaminant particles on ultra-smooth optical substrates using image analysis method

Micro-contaminant particles on surface of optical substrate have unfavorable influence on light characteristics and instability of optical devices. Proper recognition and evaluation of micro-contaminant particles on post-cleaning substrate are important in fabricating high-performance optical substrates. Based on image analysis and difference of gray scale threshold in image zones, this paper presents a technique for automatically recognizing micro-contamination, and the relevant software developed for on-line evaluation of the level of cleanliness on ultra-smooth optical substrate. Using the self-developed software incorporating high-resolution microscope, optical yttrium iron garnet (YIG) and K8 substrate surfaces of post-chemical mechanical polishing (CMP) were investigated. Results from analyzing the YIG and K8 optical substrates before-and-after laser cleaning illustrated the success of the developed automatic recognition and on-line evaluation system in identifying the micro-contaminant particles on the ultra-smooth substrate surface.

Development of an on-line evaluation system of formability in cold-rolled steel sheets using electromagnetic acoustic transducers (EMATs)

An on-line evaluation system of r- values in cold-rolled steel sheet with EMATs has been developed. First the principle of nondestructive r- value measurement is described. Next the characteristics of a Lorentz and a magnetostrictive type EMAT are evaluated to permit an optimum sensor for on-line measurement. Based on the results, a system with a magnetostrictive type EMAT was fabricated. The capability for measuring r- values was evaluated using many samples and products in a continuous annealing line. The system was confirmed to continuously measure r- values in the production line with an accuracy of 1 σ = 0.07.

The control of computerized information relating to branch manpower management follow-up systems for banks

The content of information control in complex organizations continues to be a source of interest for both researchers and business managers. This study attempts to demonstrate the application of model-sampling and its effects in relation to accuracy, frequency and recency of data under scrutiny. The study uses a linear model to measure and forecast. The findings of this study are applicable not only to banks but also to Accounting Information Systems (AIS) in general. Moreover, they are as applicable to a computerized follow-up survey as to the initial manual system survey. In fact, this study presents an approach for conducting a follow-up program using an on-line interactive evaluation system.

Current Methods of On-Line Carcass Evaluation

Most on-line systems of evaluation record carcass weight and classify carcasses post-slaughter for species, age, sex and fat cover. Conformation may be included, and more advanced systems estimate yield of salable meat or lean that then can be used as a basis for producer payment. Whereas grading/classification is mainly subjective for beef and sheep carcasses, the pig industry is the most advanced in moving to objective systems with fat cover, and in some cases muscle depth, measured objectively and used to estimate meat yield. Inexpensive, objective methods are needed for measuring the fat and meat content of beef and sheep carcasses at slaughter speed, provided that a method can be found that has an accuracy equal to or better than current subjective methods. Systems are being developed for deer and goat carcass on-line evaluation. Given that meat hygiene and inspection systems cover aspects of meat quality different from those covered in grading systems, but relate to the production of a satisfactory end-product, greater integration of these separate systems into a single on-line carcass evaluation system deserves consideration.

PROCTOR: An on-line student evaluation and monitoring system for use with PSI format courses

PROCTOR, an on-line interactive system for student evaluation and monitoring in courses employing the PSI format, is described. This system involves a tester module that assumes many of the routine managerial duties traditionally assigned to the student proctor, such as quiz administration and scoring, performance feedback, and complete record keeping. Also, PROCTOR includes a multipurpose editor that allows an instructor to enter, examine, or modify any information in the disk files accessed by the tester. Factors related to the implementation and use of this system are considered, and its advantages for management, quality control, and staffing in PSI courses are discussed.