The Experts below are selected from a list of 225 Experts worldwide ranked by ideXlab platform

Michael Chau - One of the best experts on this subject based on the ideXlab platform.

  • Evaluating the use of search Engine Development tools in IT education
    Journal of the American Society for Information Science and Technology, 2020
    Co-Authors: Michael Chau, Cho Hung Wong, Yilu Zhou, Hsinchun Chen
    Abstract:

    It is important for education in computer science and information systems to keep up to date with the latest Development in technology. With the rapid Development of the Internet and the Web, many schools have included Internet-related technologies, such as Web search Engines and e-commerce, as part of their curricula. Previous research has shown that it is effective to use search Engine Development tools to facilitate students' learning. However, the effectiveness of these tools in the classroom has not been evaluated. In this article, we review the design of three search Engine Development tools, SpidersRUs, Greenstone, and Alkaline, followed by an evaluation study that compared the three tools in the classroom. In the study, 33 students were divided into 13 groups and each group used the three tools to develop three independent search Engines in a class project. Our evaluation results showed that SpidersRUs performed better than the two other tools in overall satisfaction and the level of knowledge gained in their learning experience when using the tools for a class project on Internet applications Development. © 2009 ASIS & T.link_to_subscribed_fulltex

  • Designing the user interface and functions of a search Engine Development tool
    Decision Support Systems, 2020
    Co-Authors: Michael Chau, Ch Wong
    Abstract:

    Search Engine Development tools have been made to allow users to build their own search Engines. However, most of these tools have been designed for advanced computer users. Users without a full understanding of topics such as Web spidering would find these tools difficult to use due to different issues in terms of user interface, performance, and reliability. In view of these issues, we presented a tool called SpidersRUs to strike a balance between usability and functionality. On one hand, beginners should be able to operate the tool by using the basic functions needed to build a search Engine. On the other, advanced users should be given the options to exert a higher level of customization while working on the tool. To study the interface design of SpidersRUs, we compared its usability and functionality from the users' perspective with two other Development tools, namely Alkaline and Greenstone, in an evaluation study. Our study showed that SpidersRUs was preferred over the other two, particularly in areas of screen layout and sequence, terminology and system information, and learning to use the system.

Marcin Bernaś - One of the best experts on this subject based on the ideXlab platform.

  • Interactions Validation Methods for Training Resources Control Engine Development
    Journal of information and organizational sciences, 2009
    Co-Authors: Jan Piecha, Marcin Bernaś
    Abstract:

    The training courseware complexity proper selection is one of the most difficult factors looking from an intelligent application Engine Development. The application needs individual settings, the most relevant for the application structure matching to the users' individual expectations. What is more, the obtained structure allows controlling dynamically the application within a time it is used. The application units description with their controlling functions allow joining the database components into individual composition of the courseware. The paper introduces several aspects of distance learning resources Development, fulfilling the demanding assumptions of the interactive training units.

Ch Wong - One of the best experts on this subject based on the ideXlab platform.

  • Designing the user interface and functions of a search Engine Development tool
    Decision Support Systems, 2020
    Co-Authors: Michael Chau, Ch Wong
    Abstract:

    Search Engine Development tools have been made to allow users to build their own search Engines. However, most of these tools have been designed for advanced computer users. Users without a full understanding of topics such as Web spidering would find these tools difficult to use due to different issues in terms of user interface, performance, and reliability. In view of these issues, we presented a tool called SpidersRUs to strike a balance between usability and functionality. On one hand, beginners should be able to operate the tool by using the basic functions needed to build a search Engine. On the other, advanced users should be given the options to exert a higher level of customization while working on the tool. To study the interface design of SpidersRUs, we compared its usability and functionality from the users' perspective with two other Development tools, namely Alkaline and Greenstone, in an evaluation study. Our study showed that SpidersRUs was preferred over the other two, particularly in areas of screen layout and sequence, terminology and system information, and learning to use the system.

D C Haworth - One of the best experts on this subject based on the ideXlab platform.

  • advanced gasoline Engine Development using optical diagnostics and numerical modeling
    Proceedings of the Combustion Institute, 2007
    Co-Authors: Michael C Drake, D C Haworth
    Abstract:

    Twenty years ago, homogeneous-charge spark-ignition gasoline Engines (using carburetion, throttle-body-, or port-fuel-injection) were the dominant automotive Engines. Advanced automotive Engine Development remained largely empirical, and stratified-charge direct-injection gasoline-Engine production was blocked by lack of robustness in its combustion process [W.G. Agnew, Proc. Combust. Inst. 20 (1984) 1–17]. Today, a wide range of direct-injection gasoline Engines are in (or near) production, and combustion science is playing a direct role in advanced gasoline-Engine Development through the simultaneous application of advanced optical diagnostics, three-dimensional computational fluid dynamics (CFD) modeling, and traditional combustion diagnostics. This paper discusses the use of optical diagnostics and CFD in five gasoline-Engine combustion systems: homogeneous spark-ignition port-fuel-injection (PFI), homogeneous spark-ignition direct-injection (DI), stratified wall-guided spark-ignition direct-injection (WG-SIDI), stratified spray-guided spark-ignition direct-injection (SG-SIDI), and homogeneous-charge compression-ignition (HCCI). The emphasis is on WG-SIDI, SG-SIDI, and HCCI Engines. Key in-cylinder physical processes (e.g., sprays and vaporization, turbulent fuel–air mixing, wall wetting, ignition and early flame Development, turbulent partially premixed flame propagation, and emissions formation) can be visualized, quantified, and optimized through optical Engine experiments and CFD-based Engine modeling. Outstanding issues for stratified Engines include reducing piston wall-wetting, pool fires and smoke in WG-SIDI Engines, eliminating intermittent misfires in SG-SIDI Engines, and optimizing lean NOx after-treatment systems. HCCI Engines require better control of combustion timing and heat-release rate over wide speed/load operating ranges, smooth transitions between operating modes, and individual cylinder sensors and controls. Future directions in optical diagnostics and modeling are suggested to improve our fundamental understanding of important in-cylinder processes and to enhance CFD modeling capabilities.

Christoph Steffens - One of the best experts on this subject based on the ideXlab platform.

  • Integrating the turbo charging system optimization into the Engine Development
    MTZ worldwide, 2009
    Co-Authors: Johannes Scharf, Taner Gocmez, Michael Wittler, Stefan Pischinger, Richard Aymanns, Christoph Steffens
    Abstract:

    Increasing demands on the load build up, fuel consumption and emission of vehicle drive trains are leading to a stronger integration of supplier component parts into the optimization process of the whole Engine. In this context the exhaust gas turbocharger plays an important role in future drive train concepts especially for the reduction of CO2 emissions. This is caused on the one hand by the technical complexity of this device and on the other hand by the significant influence of the turbocharger on driving performance and fuel consumption. The latter applies especially for the trend in Engine Developments towards smaller Engines. “Off shelf solutions” as they were common until just a few ago to achieve performance variants of an Engine family are only exceptions in contemporary applications. This article from FEV and the Institute for Combustion Engines (VKA) of the RWTH Aachen University describes an integral approach for the Development and optimization of turbochargers by integration of different tools and methods into the Development process of the drive train.

  • Low Noise Engine Development
    ASME 2006 Internal Combustion Engine Division Spring Technical Conference (ICES2006), 2006
    Co-Authors: Christoph Steffens, Christof Nussmann
    Abstract:

    Nowadays power trains face an increased customer expectation regarding noise and vibration. This trend requires the use of simulation tools beginning in early phases of the Development process to ensure a ‘low noise Engine’ at the end of the Development process. Therefore FEV is using virtual Development methods for NVH optimization of power trains for more than ten years. Fully parameterized simulation models allow the utilization in all phases of the Development. Depending on the current design status of the Development the detailing of the simulation models can be adapted. Based on comparative simple rigid body models in the beginning decisions regarding Engine global data like bore, stroke cylinder distance and positioning of balancer shafts can be made. Later on, when more design parameters are fixed the depth of simulation models is increased until a fully flexible model allows the prediction of the NVH behavior of the complete power train. Such a simulation is performed using a hybrid simulation approach based on Finite-Element and Multi-Body simulation. The FE model of the power train is loaded with excitation forces calculated with MBS in order to calculate surface velocity. Based on these results further simulation allows the simulation of the airborne noise radiation. Here, the simulated airborne noise simulation is combined with the so called virtual interior noise simulation (VINS) developed by FEV. This method allows a target-oriented Engine Development with focus on an excellent vehicle interior noise behavior. Within the scope of this paper the above described procedure is applied to a Development of a gasoline inline four cylinder Engine. The simulation methods are verified in each step of the Development.Copyright © 2006 by ASME