The Experts below are selected from a list of 111 Experts worldwide ranked by ideXlab platform
Adeline Du Toit - One of the best experts on this subject based on the ideXlab platform.
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a knowledge management framework to grow innovation Capability maturity
SA Journal of Information Management, 2012Co-Authors: Denele Esterhuizen, Corne Schutte, Adeline Du ToitAbstract:Background: Innovation is a key prerequisite for being organisationally competitive. Therefore, it is imperative that enterprises grow and mature their innovation Capability. Knowledge management plays a fundamental role in the ability of enterprises to innovate successfully. Objectives: There are no formal guidelines for using knowledge management to grow innovation Capability maturity. The researchers intended to develop a knowledge management framework that enables innovation Capability. Method: The scope of the research did not allow for the practical implementation of the framework. However, five industry and subject theory experts evaluated the applicability and usability of the framework. Results: All five experts reported that enterprises could use knowledge management tools and organisational facilitating conditions to allow innovation Capability maturity to grow. The importance of the framework is that it gives guidelines for using knowledge management as a vehicle for growing innovation Capability maturity. Conclusion: The framework determines whether enterprises’ organisational conditions and knowledge management tools are sufficient to sustain or grow their innovation Capability maturity.
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a knowledge management framework to grow innovation Capability maturity original research
SA Journal of Information Management, 2012Co-Authors: Denele Esterhuizen, Corne Schutte, Adeline Du ToitAbstract:Background : Innovation is a key prerequisite for being organisationally competitive. Therefore, it is imperative that enterprises grow and mature their innovation Capability. Knowledge management plays a fundamental role in the ability of enterprises to innovate successfully. Objectives : There are no formal guidelines for using knowledge management to grow innovation Capability maturity. The researchers intended to develop a knowledge management framework that enables innovation Capability. Method : The scope of the research did not allow for the practical implementation of the framework. However, five industry and subject theory experts evaluated the applicability and usability of the framework. Results : All five experts reported that enterprises could use knowledge management tools and organisational facilitating conditions to allow innovation Capability maturity to grow. The importance of the framework is that it gives guidelines for using knowledge management as a vehicle for growing innovation Capability maturity. Conclusion : The framework determines whether enterprises' organisational conditions and knowledge management tools are sufficient to sustain or grow their innovation Capability maturity.
Denele Esterhuizen - One of the best experts on this subject based on the ideXlab platform.
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a knowledge management framework to grow innovation Capability maturity
SA Journal of Information Management, 2012Co-Authors: Denele Esterhuizen, Corne Schutte, Adeline Du ToitAbstract:Background: Innovation is a key prerequisite for being organisationally competitive. Therefore, it is imperative that enterprises grow and mature their innovation Capability. Knowledge management plays a fundamental role in the ability of enterprises to innovate successfully. Objectives: There are no formal guidelines for using knowledge management to grow innovation Capability maturity. The researchers intended to develop a knowledge management framework that enables innovation Capability. Method: The scope of the research did not allow for the practical implementation of the framework. However, five industry and subject theory experts evaluated the applicability and usability of the framework. Results: All five experts reported that enterprises could use knowledge management tools and organisational facilitating conditions to allow innovation Capability maturity to grow. The importance of the framework is that it gives guidelines for using knowledge management as a vehicle for growing innovation Capability maturity. Conclusion: The framework determines whether enterprises’ organisational conditions and knowledge management tools are sufficient to sustain or grow their innovation Capability maturity.
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a knowledge management framework to grow innovation Capability maturity original research
SA Journal of Information Management, 2012Co-Authors: Denele Esterhuizen, Corne Schutte, Adeline Du ToitAbstract:Background : Innovation is a key prerequisite for being organisationally competitive. Therefore, it is imperative that enterprises grow and mature their innovation Capability. Knowledge management plays a fundamental role in the ability of enterprises to innovate successfully. Objectives : There are no formal guidelines for using knowledge management to grow innovation Capability maturity. The researchers intended to develop a knowledge management framework that enables innovation Capability. Method : The scope of the research did not allow for the practical implementation of the framework. However, five industry and subject theory experts evaluated the applicability and usability of the framework. Results : All five experts reported that enterprises could use knowledge management tools and organisational facilitating conditions to allow innovation Capability maturity to grow. The importance of the framework is that it gives guidelines for using knowledge management as a vehicle for growing innovation Capability maturity. Conclusion : The framework determines whether enterprises' organisational conditions and knowledge management tools are sufficient to sustain or grow their innovation Capability maturity.
Corne Schutte - One of the best experts on this subject based on the ideXlab platform.
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a knowledge management framework to grow innovation Capability maturity
SA Journal of Information Management, 2012Co-Authors: Denele Esterhuizen, Corne Schutte, Adeline Du ToitAbstract:Background: Innovation is a key prerequisite for being organisationally competitive. Therefore, it is imperative that enterprises grow and mature their innovation Capability. Knowledge management plays a fundamental role in the ability of enterprises to innovate successfully. Objectives: There are no formal guidelines for using knowledge management to grow innovation Capability maturity. The researchers intended to develop a knowledge management framework that enables innovation Capability. Method: The scope of the research did not allow for the practical implementation of the framework. However, five industry and subject theory experts evaluated the applicability and usability of the framework. Results: All five experts reported that enterprises could use knowledge management tools and organisational facilitating conditions to allow innovation Capability maturity to grow. The importance of the framework is that it gives guidelines for using knowledge management as a vehicle for growing innovation Capability maturity. Conclusion: The framework determines whether enterprises’ organisational conditions and knowledge management tools are sufficient to sustain or grow their innovation Capability maturity.
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a knowledge management framework to grow innovation Capability maturity original research
SA Journal of Information Management, 2012Co-Authors: Denele Esterhuizen, Corne Schutte, Adeline Du ToitAbstract:Background : Innovation is a key prerequisite for being organisationally competitive. Therefore, it is imperative that enterprises grow and mature their innovation Capability. Knowledge management plays a fundamental role in the ability of enterprises to innovate successfully. Objectives : There are no formal guidelines for using knowledge management to grow innovation Capability maturity. The researchers intended to develop a knowledge management framework that enables innovation Capability. Method : The scope of the research did not allow for the practical implementation of the framework. However, five industry and subject theory experts evaluated the applicability and usability of the framework. Results : All five experts reported that enterprises could use knowledge management tools and organisational facilitating conditions to allow innovation Capability maturity to grow. The importance of the framework is that it gives guidelines for using knowledge management as a vehicle for growing innovation Capability maturity. Conclusion : The framework determines whether enterprises' organisational conditions and knowledge management tools are sufficient to sustain or grow their innovation Capability maturity.
M. Kenan Döşoğlu - One of the best experts on this subject based on the ideXlab platform.
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Enhancement of Dynamic Modeling for LVRT Capability in DFIG-Based Wind Turbines
Iranian Journal of Science and Technology Transactions of Electrical Engineering, 2020Co-Authors: M. Kenan DöşoğluAbstract:Low-voltage ride through ( LVRT) is important for system compensation and reliable operation of the system during balance and unbalanced voltage dips. In this study, a new LVRT Capability Method was developed using active and passive compensator in doubly fed induction generator (DFIG)-based wind turbines. While the active compensator provides the control of the rotor-side converter and grid-side converters of DFIG, the passive compensator decreases the stator and rotor over currents and injects reactive power into the network to support the grid voltage DFIG. Besides, rotor electromotive force is developed to improve LVRT Capability against not only symmetrical but also asymmetrical faults of DFIG. It was found that the system became stable in a short time and oscillations damped using active and passive compensator modeling.
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Hybrid low voltage ride through enhancement for transient stability Capability in wind farms
International Journal of Electrical Power & Energy Systems, 2016Co-Authors: M. Kenan DöşoğluAbstract:Abstract Protection of a doubly fed induction generator (DFIG) implemented for both wind farm and power systems is very important for transient stability. Crowbar circuits have been used for protection of DFIGs; however, a crowbar circuit is insufficient in terms of transient stability. Therefore, in this study, the passive Low voltage Ride Through (LVRT) Capability Method as well as the active LVRT Capability Method were developed for the purpose of transient analysis of the DFIG. The performances of DFIG models with and without active LVRT were compared. Modelling was carried out in a MATLAB/SIMULINK environment. Comparisons were made between behaviours of 3-phase fault and 2-phase fault systems and between rotor dynamic systems and those without a rotor dynamic. Parameters included DFIG output voltage, active power, speed, electrical torque variations and d–q axis stator current variations. In addition, a 34.5 kV bus voltage was examined. It was found that the system became stable in a short time when the active LVRT was incorporated into the reduced order DFIG model.
Xiaoming Chai - One of the best experts on this subject based on the ideXlab platform.
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The Powerful Method of Characteristics Module in Advanced Neutronics Lattice Code KYLIN-2
Journal of Nuclear Engineering and Radiation Science, 2017Co-Authors: Xiaoming Chai, Lu Zongjian, Dong YaoAbstract:Due to powerful geometry treatment Capability, Method of characteristics (MOC) currently becomes one of the best Method to solve neutron transport equation. In MOC Method, boundary condition treatment, complex geometry representation, and advanced acceleration Method are the key techniques to develop a powerful MOC code to solve complex problem. In this paper, we developed a powerful MOC module, which can treat different boundary conditions with two Methods. For problems with special border shapes and boundary condition, such as rectangle, 1/8 of square, hexagon, 1/3 of hexagon, 1/6 of hexagon problems with reflection, rotation, and translation boundary condition, the MOC module adopts periodic tracking Method, with which rays can return to start point after a certain distance. For problems with general border shapes, the MOC module uses ray prolongation Method, which can treat arbitrary border shapes and boundary conditions. Meanwhile, graphic user interface based on computer aided design (CAD) software is developed to generate the geometry description file, in which geometry is represented by “lines and arcs” Method. With the graphic user interface, the geometry and mesh can be described and modified correctly and fast. In order to accelerate the MOC transport calculation, the generalized coarse mesh finite difference (GCMFD) is used, which can use irregular coarse mesh diffusion Method to accelerate the transport equation. The MOC module was incorporated into advanced neutronics lattice code KYLIN-2, which was developed by Nuclear Power Institute of China (NPIC) and used to simulate the assembly of current pressurized water reactor (PWR) and advanced reactors, to solve the transport equation with multigroup energy structure in cross sections database. The numerical results show that the KYLIN-2 code can be used to calculate 2D neutron transport problems in reactor accurately and fast. In future, the KYLIN-2 code will be released and gradually become the main neutron transport lattice code in NPIC.
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The Powerful MOC Module in Advanced Neutronics Lattice Code GALAXY
Volume 1: Operations and Maintenance Aging Management and Plant Upgrades; Nuclear Fuel Fuel Cycle Reactor Physics and Transport Theory; Plant Systems , 2016Co-Authors: Xiaoming ChaiAbstract:Due to powerful geometry treatment Capability, Method Of Characteristics (MOC) becomes the most popular Method to solve neutron transport equation. However, boundary conditions always restrict the MOC Method’s widely application. Most of the current neutronics lattice codes based on MOC can only be used to solve one or two specific geometrical shapes. In this paper, we developed a powerful MOC module, which can treat different geometrical shapes with two Methods. For special geometrical shapes, such as rectangle, 1/8 of square, hexagon, 1/3 of hexagon, 1/6 of hexagon, the MOC module adopts special trajectory layout and angle quadrature set, which can reduce the computation time. For other general geometrical shapes, the MOC module use ray prolongation Method, which can treat arbitrary geometry shapes and boundary conditions but need much computation time. This MOC module was incorporated into advanced neutronics lattice code GALAXY, which developed by Nuclear Power Institute of China. The numerical results show that the GALAXY code can be used to calculate 2D neutronics problems with rectangle, hexagon, and other complicated geometry shapes accurately. In future, the GALAXY code will gradually become the main neutroncis lattice code in NPIC.