924 resultados para lightener evaluation system tyrosinaseTYR
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Comunicación presentada en CIDUI 2010, Congreso Internacional Docencia Universitaria e Innovación, Barcelona, 30 junio-2 julio 2010.
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National Highway Traffic Safety Administration, Washington, D.C.
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Mode of access: Internet.
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Mode of access: Internet.
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National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.
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Mode of access: Internet.
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National Highway Traffic Safety Administration, Washington, D.C.
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Texas Department of Transportation, Austin
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"PB 208 822."
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At head of title: NRIES.
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"May 1990."
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"August 1997."
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The commercialization of inventions is very complex and challenging therefore it requires the collaboration of several actors in an economy. Even when an invention possesses significant added value, its successful commercialization could only be executed in a stable macroeconomic and innovation environment and also if proper innovation management expertise is provided. ValDeal Innovations Zrt. was established to foster the commercialization of Hungarian, high business potential inventions by providing its business expertise. The company used an – already in various markets and countries probed – US innovation management method consisting of the tasks of technology evaluation as well as the commercialization of inventions. There were major changes necessary while probing the US method residing in the different macroeconomic circumstances and the attitudes for innovation in Hungary. The article details the above mentioned issues together with the conclusions the members of ValDeal have drawn during the innovation management process.
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Since the establishment of the evaluation system in 1975, the junior colleges in the Republic of China (Taiwan), have gone through six formal evaluations. We know that evaluation in schooling, like quality control in businesses, should be a systematic, formal, and a continual process. It can doubtless serve as a strategy to refine the quality of education. The purpose of this research is to explore the current practice of junior college evaluation in Taiwan. This provides insight into the development of and quality of the current evaluation system. Moreover, this study also identified the source of problems with the current evaluation system and provided suggestion for improvements.^ In order to attain the above purposes, this research was undertaken in both theoretical and practical ways. First, theoretically, on the basis of a literature review, the theories of educational evaluation and, according to the course and principles of development, a view of the current practice in Taiwan. Secondly, in practice, by means of questionnaires, an analysis of the views of evaluation committeemen, junior college presidents, and administrators were obtained on evaluation models, methods, contents, organization, functions, criteria, grades reports, and others with suggestions for improvement. The summary of findings concludes that most evaluators and evaluatees think the purpose of evaluation can help the colleges explore their difficulties and problems. In addition, it was found that there is significant difference between the two groups regarding the evaluation methods, contents, organization, functions, criteria, grades reports and others, while analyzing these objective data forms the basis for an improved method of evaluation for Junior Colleges in Taiwan. ^
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Automobiles have deeply impacted the way in which we travel but they have also contributed to many deaths and injury due to crashes. A number of reasons for these crashes have been pointed out by researchers. Inexperience has been identified as a contributing factor to road crashes. Driver’s driving abilities also play a vital role in judging the road environment and reacting in-time to avoid any possible collision. Therefore driver’s perceptual and motor skills remain the key factors impacting on road safety. Our failure to understand what is really important for learners, in terms of competent driving, is one of the many challenges for building better training programs. Driver training is one of the interventions aimed at decreasing the number of crashes that involve young drivers. Currently, there is a need to develop comprehensive driver evaluation system that benefits from the advances in Driver Assistance Systems. A multidisciplinary approach is necessary to explain how driving abilities evolves with on-road driving experience. To our knowledge, driver assistance systems have never been comprehensively used in a driver training context to assess the safety aspect of driving. The aim and novelty of this thesis is to develop and evaluate an Intelligent Driver Training System (IDTS) as an automated assessment tool that will help drivers and their trainers to comprehensively view complex driving manoeuvres and potentially provide effective feedback by post processing the data recorded during driving. This system is designed to help driver trainers to accurately evaluate driver performance and has the potential to provide valuable feedback to the drivers. Since driving is dependent on fuzzy inputs from the driver (i.e. approximate distance calculation from the other vehicles, approximate assumption of the other vehicle speed), it is necessary that the evaluation system is based on criteria and rules that handles uncertain and fuzzy characteristics of the driving tasks. Therefore, the proposed IDTS utilizes fuzzy set theory for the assessment of driver performance. The proposed research program focuses on integrating the multi-sensory information acquired from the vehicle, driver and environment to assess driving competencies. After information acquisition, the current research focuses on automated segmentation of the selected manoeuvres from the driving scenario. This leads to the creation of a model that determines a “competency” criterion through the driving performance protocol used by driver trainers (i.e. expert knowledge) to assess drivers. This is achieved by comprehensively evaluating and assessing the data stream acquired from multiple in-vehicle sensors using fuzzy rules and classifying the driving manoeuvres (i.e. overtake, lane change, T-crossing and turn) between low and high competency. The fuzzy rules use parameters such as following distance, gaze depth and scan area, distance with respect to lanes and excessive acceleration or braking during the manoeuvres to assess competency. These rules that identify driving competency were initially designed with the help of expert’s knowledge (i.e. driver trainers). In-order to fine tune these rules and the parameters that define these rules, a driving experiment was conducted to identify the empirical differences between novice and experienced drivers. The results from the driving experiment indicated that significant differences existed between novice and experienced driver, in terms of their gaze pattern and duration, speed, stop time at the T-crossing, lane keeping and the time spent in lanes while performing the selected manoeuvres. These differences were used to refine the fuzzy membership functions and rules that govern the assessments of the driving tasks. Next, this research focused on providing an integrated visual assessment interface to both driver trainers and their trainees. By providing a rich set of interactive graphical interfaces, displaying information about the driving tasks, Intelligent Driver Training System (IDTS) visualisation module has the potential to give empirical feedback to its users. Lastly, the validation of the IDTS system’s assessment was conducted by comparing IDTS objective assessments, for the driving experiment, with the subjective assessments of the driver trainers for particular manoeuvres. Results show that not only IDTS was able to match the subjective assessments made by driver trainers during the driving experiment but also identified some additional driving manoeuvres performed in low competency that were not identified by the driver trainers due to increased mental workload of trainers when assessing multiple variables that constitute driving. The validation of IDTS emphasized the need for an automated assessment tool that can segment the manoeuvres from the driving scenario, further investigate the variables within that manoeuvre to determine the manoeuvre’s competency and provide integrated visualisation regarding the manoeuvre to its users (i.e. trainers and trainees). Through analysis and validation it was shown that IDTS is a useful assistance tool for driver trainers to empirically assess and potentially provide feedback regarding the manoeuvres undertaken by the drivers.