The Experts below are selected from a list of 6693 Experts worldwide ranked by ideXlab platform

Yonghe Lu - One of the best experts on this subject based on the ideXlab platform.

  • ICEBE - The Fitness Evaluation Model of SAAS for Enterprise Information System
    2009 IEEE International Conference on e-Business Engineering, 2009
    Co-Authors: Yonghe Lu
    Abstract:

    This paper makes a comparative analysis of SaaS’s relative merits from the aspects of cost, solution, software maintenance, network application and security. SaaS not only possesses the advantages of low upfront investment, flexible customization, rapid implementation and professional services but also has some disadvantages, such as higher long-term rent, lack of personalized solutions, network instability and data security. On the basis of the analysis above, it summarizes all kinds of constraints which enterprise information systems suitable to SaaS should follow, including industry standardization, business complexity, system performance and security requirement. Then, a Fitness Evaluation model is established. The model evaluates enterprise information systems from three aspects: enterprise resource, system features and SaaS service. At last, the paper makes some comments on the Evaluation results and estimates whether SaaS is suitable for the information system evaluated.

  • The Fitness Evaluation Model of SAAS for Enterprise Information System
    2009 IEEE International Conference on e-Business Engineering, 2009
    Co-Authors: Yonghe Lu
    Abstract:

    This paper makes a comparative analysis of SaaS's relative merits from the aspects of cost, solution, software maintenance, network application and security. SaaS not only possesses the advantages of low upfront investment, flexible customization, rapid implementation and professional services but also has some disadvantages, such as higher long-term rent, lack of personalized solutions, network instability and data security. On the basis of the analysis above, it summarizes all kinds of constraints which enterprise information systems suitable to SaaS should follow, including industry standardization, business complexity, system performance and security requirement. Then, a Fitness Evaluation model is established. The model evaluates enterprise information systems from three aspects: enterprise resource, system features and SaaS service. At last, the paper makes some comments on the Evaluation results and estimates whether SaaS is suitable for the information system evaluated.

A E Eiben - One of the best experts on this subject based on the ideXlab platform.

  • self adapting Fitness Evaluation times for on line evolution of simulated robots
    Genetic and Evolutionary Computation Conference, 2013
    Co-Authors: Cristian M Dinu, Plamen Dimitrov, Berend Weel, A E Eiben
    Abstract:

    This paper is concerned with \textit{on-line} evolutionary robotics, where robot controllers are being evolved during a robots' operative time. This approach offers the ability to cope with environmental changes without human intervention, but to be effective it needs an automatic parameter control mechanism to adjust the evolutionary algorithm (EA) appropriately. In particular, mutation step sizes ($\sigma$) and the time spent on Fitness Evaluation ($\tau$) have a strong influence on the performance of an EA. In this paper, we introduce and experimentally validate a novel method for self-adapting $\tau$ during runtime. The results show that this mechanism is viable: the EA using this self-adaptative control scheme consistently shows decent performance without a priori tuning or human intervention during a run.

  • GECCO - Self-adapting Fitness Evaluation times for on-line evolution of simulated robots
    Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference - GECCO '13, 2013
    Co-Authors: Cristian M Dinu, Plamen Dimitrov, Berend Weel, A E Eiben
    Abstract:

    This paper is concerned with \textit{on-line} evolutionary robotics, where robot controllers are being evolved during a robots' operative time. This approach offers the ability to cope with environmental changes without human intervention, but to be effective it needs an automatic parameter control mechanism to adjust the evolutionary algorithm (EA) appropriately. In particular, mutation step sizes ($\sigma$) and the time spent on Fitness Evaluation ($\tau$) have a strong influence on the performance of an EA. In this paper, we introduce and experimentally validate a novel method for self-adapting $\tau$ during runtime. The results show that this mechanism is viable: the EA using this self-adaptative control scheme consistently shows decent performance without a priori tuning or human intervention during a run.

Mahmoud Gaddallah - One of the best experts on this subject based on the ideXlab platform.

  • BMEI - A computer-based system for safe physical Fitness Evaluation
    2011 4th International Conference on Biomedical Engineering and Informatics (BMEI), 2011
    Co-Authors: Emad Elsamahy, Ahmed Genedy, Mohamed A. Abbass, Mahmoud Gaddallah
    Abstract:

    Exercise Evaluation is a noninvasive technique to evaluate the condition of any subject's cardiovascular system under physical stress. A System for safe physical Fitness Evaluation for subjects undergoing aerobic physical stress is presented. This system has been implemented in the form of a graphical user interface in the environment of Matlab®. Furthermore, the proposed system is designed for young subjects of age below 35 years who undergo physical stress on a Kettler ergoracer bicycle. The subject's body mass index, target heart rate, and maximum heart rate will be calculated before starting the Evaluation. A Proportional-Integral (PI) fuzzy controller is applied to control the applied physical stress to ensure not exceeding the predefined target heart rate to satisfy safety. The time of the Evaluation procedure is about 4–5 minutes which is divided into: 1) 3–3½ minutes for applying an appropriate physical stress to the subject under test, 2) 1½ minute for recovery and Evaluation. Based on the change in the subject's recovery heart rate and taking into account the body mass index, an Evaluation for the subject's Fitness state is carried out.

  • A computer-based system for safe physical Fitness Evaluation
    2011 4th International Conference on Biomedical Engineering and Informatics (BMEI), 2011
    Co-Authors: Emad Elsamahy, Ahmed Genedy, Mohamed A. Abbass, Mahmoud Gaddallah
    Abstract:

    Exercise Evaluation is a noninvasive technique to evaluate the condition of any subject's cardiovascular system under physical stress. A System for safe physical Fitness Evaluation for subjects undergoing aerobic physical stress is presented. This system has been implemented in the form of a graphical user interface in the environment of Matlab®. Furthermore, the proposed system is designed for young subjects of age below 35 years who undergo physical stress on a Kettler ergoracer bicycle. The subject's body mass index, target heart rate, and maximum heart rate will be calculated before starting the Evaluation. A Proportional-Integral (PI) fuzzy controller is applied to control the applied physical stress to ensure not exceeding the predefined target heart rate to satisfy safety. The time of the Evaluation procedure is about 4-5 minutes which is divided into: 1) 3-3½ minutes for applying an appropriate physical stress to the subject under test, 2) 1½ minute for recovery and Evaluation. Based on the change in the subject's recovery heart rate and taking into account the body mass index, an Evaluation for the subject's Fitness state is carried out.

Tina Yu - One of the best experts on this subject based on the ideXlab platform.

  • PPSN - Dynamic Cooperative Coevolutionary Sensor Deployment Via Localized Fitness Evaluation
    Parallel Problem Solving from Nature – PPSN X, 2008
    Co-Authors: Xingyan Jiang, Yuanzhu Peter Chen, Tina Yu
    Abstract:

    We propose an innovative cooperative co-evolutionary computation framework, Dynamic Cooperative Coevolution (DCC), which provides dynamic coupling of neighboring species for the Fitness Evaluation of individuals. One feature of DCC is the utilization of local Fitness to achieve a global optimum, which makes it possible for co-evolutionary algorithms to be applied in localized distributed environments, such as network computing. This work is motivated by our interest in autonomous sensor deployment, where a sensor can only communicate with those within a limited range. Our experiments show that DCC is effective in obtaining good solutions under such distributed and localized conditions.

  • Dynamic cooperative coevolutionary sensor deployment via localized Fitness Evaluation
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008
    Co-Authors: Xingyan Jiang, Yuanzhu Peter Chen, Tina Yu
    Abstract:

    We propose an innovative cooperative co-evolutionary computatijon framework, Dynamic Cooperative Coevolution (DCC), which provides dynamic coupling of neighboring species for the Fitness Evaluation of individuals. One feature of DCC is the utilization of local Fitness to achieve a global optimum, which makes it possible for co-evolutionary algorithms to be applied in localized distributed environments, such as network computing. This work is motivated by our interest in autonomous sensor deployment, where a sensor can only communicate with those within a limited range. Our experiments show that DCC is effective in obtaining good solutions under such distributed and localized conditions.

Yunhong Wang - One of the best experts on this subject based on the ideXlab platform.

  • ICPR - 3D Model Based Vehicle Tracking Using Gradient Based Fitness Evaluation under Particle Filter Framework
    2010 20th International Conference on Pattern Recognition, 2010
    Co-Authors: Zhaoxiang Zhang, Kaiqi Huang, Yunhong Wang
    Abstract:

    We address the problem of 3D model based vehicle tracking from monocular videos of calibrated traffic scenes. A 3D wire-frame model is set up as prior information and an efficient Fitness Evaluation method based on image gradients is introduced to estimate the Fitness score between the projection of vehicle model and image data, which is then combined into a particle filter based framework for robust vehicle tracking. Numerous experiments are conducted and experimental results demonstrate the effectiveness of our approach for accurate vehicle tracking and robustness to noise and occlusions.

  • 3D Model Based Vehicle Tracking Using Gradient Based Fitness Evaluation under Particle Filter Framework
    2010 20th International Conference on Pattern Recognition, 2010
    Co-Authors: Zhaoxiang Zhang, Kaiqi Huang, Yunhong Wang
    Abstract:

    We address the problem of 3D model based vehicle tracking from monocular videos of calibrated traffic scenes. A 3D wire-frame model is set up as prior information and an efficient Fitness Evaluation method based on image gradients is introduced to estimate the Fitness score between the projection of vehicle model and image data, which is then combined into a particle filter based framework for robust vehicle tracking. Numerous experiments are conducted and experimental results demonstrate the effectiveness of our approach for accurate vehicle tracking and robustness to noise and occlusions.