The Experts below are selected from a list of 204 Experts worldwide ranked by ideXlab platform
Magnus Svensson - One of the best experts on this subject based on the ideXlab platform.
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Self-monitoring for maintenance of vehicle fleets
Data Mining and Knowledge Discovery, 2018Co-Authors: Thorsteinn Rögnvaldsson, Sławomir Nowaczyk, Rune Prytz, Stefan Byttner, Magnus SvenssonAbstract:An approach for intelligent monitoring of mobile cyberphysical systems is described, based on consensus among distributed self-organised agents. Its usefulness is experimentally demonstrated over a long-time case study in an example domain: a fleet of city buses. The proposed solution combines several techniques, allowing for life-long learning under computational and communication constraints. The presented work is a step towards autonomous knowledge discovery in a domain where data volumes are increasing, the complexity of systems is growing, and dedicating human experts to build fault detection and diagnostic models for all possible faults is not economically viable. The embedded, self-organised agents operate on-board the cyberphysical systems, modelling their states and communicating them wirelessly to a back-Office Application. Those models are subsequently compared against each other to find systems which deviate from the consensus. In this way the group (e.g., a fleet of vehicles) is used to provide a standard, or to describe normal behaviour, together with its expected variability under particular operating conditions. The intention is to detect faults without the need for human experts to anticipate them beforehand. This can be used to build up a knowledge base that accumulates over the life-time of the systems. The approach is demonstrated using data collected during regular operation of a city bus fleet over the period of almost 4 years.
Maurizio Sasso - One of the best experts on this subject based on the ideXlab platform.
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Integration between electric heat pump and PV system to increase self-consumption of an Office Application
Renewable Energy and Environmental Sustainability, 2017Co-Authors: Carlo Roselli, Maurizio Sasso, Francesco TarielloAbstract:The paper examines a solar electric driven heat pump serving an Office building located in southern Italy. To satisfy space heating and cooling demand a heat pump activated by electric energy available from solar photovoltaic plant is here considered. In order to improve the self-consumption of electricity available from photovoltaic system different configurations were considered introducing an electric storage and an electric vehicle. Dynamic simulations to evaluate energy performance of the system varying photovoltaic peak power (4.5–7.5 kW) have been carried out. The proposed system achieves a fossil fuel primary energy saving up to about 96% in comparison to the reference conventional system based on a natural gas fired boiler, an electric chiller and the national electric grid. The results show that fossil fuel primary energy saving is higher when there are no storage battery and electric vehicle.
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Integration between electric vehicle charging and PV system to increase self-consumption of an Office Application
Energy Conversion and Management, 2016Co-Authors: Carlo Roselli, Maurizio SassoAbstract:Abstract The paper analyzes the introduction of a photovoltaic system satisfying electric, space heating and cooling demand of an Office building located in southern Italy. The electric load is due to an electric heat pump, used to satisfy space heating and cooling load, a pure electric demand (personal computers, printers, lighting, etc.) and an electric vehicle charged during working hours. Dynamic simulations to evaluate the energy and environmental performance of the analyzed system considering different photovoltaic peak powers (4.5–9.0 kW), electric vehicle distance per day (40–120 km) and charging mode is carried out. The solar based system shows primary energy saving and equivalent carbon dioxide emission reduction higher than 40% in comparison to the reference conventional system based on a natural gas fired boiler, an electric chiller and a diesel car. The results highlight that the solar energy system is more competitive when DC charging system is provided.
Thomas G. Hill - One of the best experts on this subject based on the ideXlab platform.
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MEAGER: Microsoft Excel automated grader
Journal of Computing Sciences in Colleges, 2003Co-Authors: Thomas G. HillAbstract:Although program grading has been an active area of research in computer science education, there is little evidence of research on automated grading systems for Office Applications. This paper introduces MEAGER. MEAGER is an automated grader for use by instructors in Microsoft Excel and Microsoft Office Application courses. MEAGER performs static analysis on Microsoft Excel workbooks. MEAGER compares a student workbook with the instructor's correct version of the workbook. MEAGER marks the student workbook and assigns a grade. MEAGER includes reports and a tool for plagiarism detection.
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Meager and madbags: automated graders for microsoft excel and access assignments
2003Co-Authors: Dawn Wilkins, Thomas G. HillAbstract:Although program grading has been an active area of research in computer science education, there is little evidence of research on automated grading systems for Office Applications. MEAGER is an automated grader for use by instructors in Microsoft Excel and Microsoft Office Application courses. MEAGER performs static analysis on Microsoft Excel workbooks. MEAGER compares a student workbook with the instructor's correct version of the workbook, marks the student workbook, and places a grade report in the workbook. MADBAGS, an automated Microsoft Access database grader, is a companion product to MEAGER. MADBAGS grades database tables and queries. The program adds to the student database an errors table composed of missing or incorrect database objects and a grade report. The programs have similar interfaces. They both have grading histories, error reports, and a plagiarism detection tool. The graders have been tested in thirty-nine Microsoft Office Applications classes (with about 800 students) over two semesters. Thousands of assignments have been graded. According to a survey of instructors using the programs, the graders were extremely accurate and saved hours of grading time. Students felt the grading was fair and accurate.
Thorsteinn Rögnvaldsson - One of the best experts on this subject based on the ideXlab platform.
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Self-monitoring for maintenance of vehicle fleets
Data Mining and Knowledge Discovery, 2018Co-Authors: Thorsteinn Rögnvaldsson, Sławomir Nowaczyk, Rune Prytz, Stefan Byttner, Magnus SvenssonAbstract:An approach for intelligent monitoring of mobile cyberphysical systems is described, based on consensus among distributed self-organised agents. Its usefulness is experimentally demonstrated over a long-time case study in an example domain: a fleet of city buses. The proposed solution combines several techniques, allowing for life-long learning under computational and communication constraints. The presented work is a step towards autonomous knowledge discovery in a domain where data volumes are increasing, the complexity of systems is growing, and dedicating human experts to build fault detection and diagnostic models for all possible faults is not economically viable. The embedded, self-organised agents operate on-board the cyberphysical systems, modelling their states and communicating them wirelessly to a back-Office Application. Those models are subsequently compared against each other to find systems which deviate from the consensus. In this way the group (e.g., a fleet of vehicles) is used to provide a standard, or to describe normal behaviour, together with its expected variability under particular operating conditions. The intention is to detect faults without the need for human experts to anticipate them beforehand. This can be used to build up a knowledge base that accumulates over the life-time of the systems. The approach is demonstrated using data collected during regular operation of a city bus fleet over the period of almost 4 years.
Michael Stolpe - One of the best experts on this subject based on the ideXlab platform.
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in Office Application of fluoride gel or varnish cost effectiveness and expected value of perfect information analysis
Caries Research, 2017Co-Authors: Falk Schwendicke, Michael StolpeAbstract:Application of fluoride gel/varnish (FG/FV) reduces caries increments but generates costs. Avoiding restorative treatments by preventing caries might compensate for these costs. We assessed the cost-effectiveness of dentists applying FG/FV in Office and the expected value of perfect information (EVPI). EVPI analyses estimate the economic value of having perfect knowledge, assisting research resource allocation. A mixed public-private-payer perspective in Germany was adopted. A population of 12-year-olds was followed over their lifetime, with caries increments modelled using wide intervals to reflect the uncertainty of caries risk. Biannual Application of FV/FG until age 18 years was compared to no fluoride Application. Effectiveness parameters and their uncertainty were derived from systematic reviews. The health outcome was caries increment (decayed, missing, or filled teeth; DMFT). Cost calculations were based on fee catalogs or microcosting, including costs for individual-prophylactic fluoridation and, for FG, an individualized tray, plus material costs. Microsimulations, sensitivity, and EVPI analyses were performed. On average and applied to a largely low-risk population, no Application of fluoride was least costly but also least effective (EUR 230; 11 DMFT). FV was more costly and effective (EUR 357; 7 DMFT). FG was less effective than FV and also more costly when using individualized trays. FV was the best choice for payers willing to invest EUR 39 or more per avoided DMFT. This cost-effectiveness will differ in different settings/countries or if FG/FV is applied by other care professionals. The EVPI was mainly driven by the individual's caries risk, as FV/FG were significantly more cost-effective in high-risk populations than in low-risk ones. Future studies should focus on caries risk prediction.
