The cost of commercial vehicle operation includes fuel, vehicle purchase/replacement/maintenance, and driver/staff,...,etc. Among these costs, fuel is the one that is not only cost-concerned but also environment-conce...
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The cost of commercial vehicle operation includes fuel, vehicle purchase/replacement/maintenance, and driver/staff,...,etc. Among these costs, fuel is the one that is not only cost-concerned but also environment-concerned. The fuel consumption is highly correlated with the vehicle traveling distance and driving behavior patterns and the emission of carbon dioxide (CO2) from the vehicle operations is one major contributing factor to the greenhouse effect that all human beings are suffering. How to utilize vehicles more efficiently in terms of time and travelling distance and reduce the carbon dioxide emission has become an important issue. Not to mention that many countries/areas have taken acts such as new laws for emission limitations to protect the environment. Advanced technologies such as Global Positioning systems (GPS) can generate the real-time location information of commercial vehicles. These data, analyzed by appropriate data mining technologies, can be used for fleet management systems such as vehicle route planning and driving behavior analysis. In this study, research team cooperating with Taiwan's largest commercial vehicle fleet, Formosa Plastics Transport Corp. (FPTC), deploy GPS-based vehicle tracking and communication systems and apply data mining technologies to develop a new fleet management system that is not only cost-efficient but also environment-friendly. The results include reduced transportation costs, lowered emissions, improved driving behaviors, and a greener fleet.
Business processes modeling projects are increasingly widespread in organizations. Companies have several processes to be identified and modeled. They usually invest much in hiring expert consultants to do such job. H...
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ISBN:
(纸本)9789898425065
Business processes modeling projects are increasingly widespread in organizations. Companies have several processes to be identified and modeled. They usually invest much in hiring expert consultants to do such job. However, they still find no guidelines to help them estimate how much a process modeling project will cost or how long this will take. We propose an approach to estimate the effort required to conduct a BPM project and discuss results obtained from over 50 projects in a large Brazilian company.
Complexity and dynamism of day-to-day activities in organizations are inextricably linked, one impacting the other, increasing the challenges for constant adaptation of the way to organize work to address emerging dem...
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ISBN:
(纸本)9789898425065
Complexity and dynamism of day-to-day activities in organizations are inextricably linked, one impacting the other, increasing the challenges for constant adaptation of the way to organize work to address emerging demands. In this scenario, there are a variety of information, insight and reasoning being processed between people and systems, during process execution. We argue that process variations could be decided in real time, using context information collected. This paper presents a proposal for a business process line cycle, with a set of activities encapsulated in the form of components as central artefact. We explain how composition and adaptation of work may occur in real time and discuss a scenario for this proposal.
The purpose of this discussion panel is to present the United States Department of Transportation (DOT) human factors research needs to the larger human factors research community. The DOT Human Factors Coordinating C...
The purpose of this discussion panel is to present the United States Department of Transportation (DOT) human factors research needs to the larger human factors research community. The DOT Human Factors Coordinating Committee (HFCC) serves as a multi-modal team with government-wide liaisons to promote human factors and to address crosscutting human factors issues in transportation. HFCC regularly conducts a survey of the DOT modal agencies and other federal agencies with a transportation focus (e.g., the National Transportation Safety Board) to identify cross-cutting DOT research needs. In this panel, the results of a recent survey will be presented with a discussion of how each modal agency is addressing these human factors areas of interest. Additionally, HFCC representatives from five modal agencies will review their current research efforts, discuss their anticipated future research needs, and address questions from the audience.
In this paper, we propose a multiobjective stochastic model with linear partial information on probability distribution (MSPLI) for portfolio selection problem. We apply an extended chance constrained compromise progr...
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The Teachengineering digital library provides teacher-tested, standards-based engineering content for K-12 teachers to use in science and math classrooms. Since its release in 2005, Teachengineering has experienced si...
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Gallium nitride transistor-based power amplifiers (PA) which are currently among the most important technologies impacting high-power transmitter design at microwave frequencies are discussed. GaN HEMTs also allow hig...
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Gallium nitride transistor-based power amplifiers (PA) which are currently among the most important technologies impacting high-power transmitter design at microwave frequencies are discussed. GaN HEMTs also allow high-power operation at much higher frequencies than silicon laterally diffused metal oxide semiconductor field-effect transistors (LDMOS FETs), currently a staple for the cellular base station industry. The significant attention placed on nonlinear models is in step with the growing community of designers who are using nonlinear circuit simulators with good success to design and optimize high-power amplifiers. The use of pulsed measurements as part of the modeling process, along with sufficiently flexible modeling equations and topologies, is critical for obtaining reliable electrothermal GaN models. The successful modeler will be aware of the need for accurate data, carefully applied extraction methodologies, along with the strengths and limitations of available models to obtain the best results for circuit designers.
The main knowledge management challenges are to capture, store and reuse contextual knowledge generated during interactions that occur daily in an organization. In this paper, we propose an activity context-aware arch...
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In this paper, we propose a multi objective stochastic model with linear partial information on probability distribution (MSPLI) for portfolio selection problem. We apply an extended chance constrained compromise prog...
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ISBN:
(纸本)9781424469611;9780769540429
In this paper, we propose a multi objective stochastic model with linear partial information on probability distribution (MSPLI) for portfolio selection problem. We apply an extended chance constrained compromise programming approach to obtain the deterministic equivalent of the MSPLI model.
The main knowledge management challenges are to capture, store and reuse contextual knowledge generated during interactions that occur daily in an organization. In this paper, we propose an activity context-aware arch...
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The main knowledge management challenges are to capture, store and reuse contextual knowledge generated during interactions that occur daily in an organization. In this paper, we propose an activity context-aware architecture to support knowledge management in working processes. The required features for this architecture are processing, reasoning and sharing contextual knowledge involving information about activities performed. We also present results from evaluation of our proposal — A-CoBrA — for a specific domain.
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