The Experts below are selected from a list of 279 Experts worldwide ranked by ideXlab platform
Yirong Zhou - One of the best experts on this subject based on the ideXlab platform.
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a satellite cluster data transmission scheduling method based on genetic algorithm with Rote Learning operator
Congress on Evolutionary Computation, 2016Co-Authors: Hao Chen, Yirong ZhouAbstract:With the appearance of satellite cluster nowadays, some new challenges have emerged in satellite data transmission scheduling. Current researches ignored the new features of the satellite cluster data transmission such as the periodicity of data transmission window collisions which could direct the future scheduling. Considering the characteristics of the problem, a data transmission conflict window model for satellite cluster is established and a novel algorithm based on genetic algorithm is proposed. In order to improve the searching efficiency, convergence rate and stability of our algorithm, a Rote Learning operator is designed, which can generate heuristic from past scheduling results and lead searching direction of our algorithm. Finally, some experiments are conducted to validate the correctness and practicability of our algorithm.
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CEC - A satellite cluster data transmission scheduling method based on genetic algorithm with Rote Learning operator
2016 IEEE Congress on Evolutionary Computation (CEC), 2016Co-Authors: Hao Chen, Yirong ZhouAbstract:With the appearance of satellite cluster nowadays, some new challenges have emerged in satellite data transmission scheduling. Current researches ignored the new features of the satellite cluster data transmission such as the periodicity of data transmission window collisions which could direct the future scheduling. Considering the characteristics of the problem, a data transmission conflict window model for satellite cluster is established and a novel algorithm based on genetic algorithm is proposed. In order to improve the searching efficiency, convergence rate and stability of our algorithm, a Rote Learning operator is designed, which can generate heuristic from past scheduling results and lead searching direction of our algorithm. Finally, some experiments are conducted to validate the correctness and practicability of our algorithm.
Hao Chen - One of the best experts on this subject based on the ideXlab platform.
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a satellite cluster data transmission scheduling method based on genetic algorithm with Rote Learning operator
Congress on Evolutionary Computation, 2016Co-Authors: Hao Chen, Yirong ZhouAbstract:With the appearance of satellite cluster nowadays, some new challenges have emerged in satellite data transmission scheduling. Current researches ignored the new features of the satellite cluster data transmission such as the periodicity of data transmission window collisions which could direct the future scheduling. Considering the characteristics of the problem, a data transmission conflict window model for satellite cluster is established and a novel algorithm based on genetic algorithm is proposed. In order to improve the searching efficiency, convergence rate and stability of our algorithm, a Rote Learning operator is designed, which can generate heuristic from past scheduling results and lead searching direction of our algorithm. Finally, some experiments are conducted to validate the correctness and practicability of our algorithm.
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CEC - A satellite cluster data transmission scheduling method based on genetic algorithm with Rote Learning operator
2016 IEEE Congress on Evolutionary Computation (CEC), 2016Co-Authors: Hao Chen, Yirong ZhouAbstract:With the appearance of satellite cluster nowadays, some new challenges have emerged in satellite data transmission scheduling. Current researches ignored the new features of the satellite cluster data transmission such as the periodicity of data transmission window collisions which could direct the future scheduling. Considering the characteristics of the problem, a data transmission conflict window model for satellite cluster is established and a novel algorithm based on genetic algorithm is proposed. In order to improve the searching efficiency, convergence rate and stability of our algorithm, a Rote Learning operator is designed, which can generate heuristic from past scheduling results and lead searching direction of our algorithm. Finally, some experiments are conducted to validate the correctness and practicability of our algorithm.
S. K. Jha - One of the best experts on this subject based on the ideXlab platform.
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Rote Learning: A Transcendental Bridge between Science & Spirituality
Journal of Engineering Education Transformations, 2016Co-Authors: S. K. JhaAbstract:For eons the transfer of knowledge from one generation to the next generation took place primarily because of Rote Learning.Especially in India, the transcendental form of knowledge such as that of Veda's is preserved because of Rote Learning. It is no longer a secret truth that spiritual and value added education is as much required as that of scientific knowledge in view of the burgeoning crisis of inhuman acts such as barbarity and terrorism everywhere which if not controlled may engulf the whole human civilization. In rural and far flung areas, even science is learnt by Rote Learning initially and then in subsequent step it gets automatically converted to activity and creativity based Learning with the help of incessant rumination process. So Rote Learning is sine-qua-non for establishing the symbiosis between science and spirituality from incubation stage to pragmatic stage in human civilization. An honest endeavor is made to resurrect the glory of unsung Rote Learningwhich otherwisewas in oblivion and abandoned state.
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Rote Learning a transcendental bridge between science spirituality
Journal of Electrical Engineering & Technology, 2016Co-Authors: S. K. JhaAbstract:For eons the transfer of knowledge from one generation to the next generation took place primarily because of Rote Learning.Especially in India, the transcendental form of knowledge such as that of Veda's is preserved because of Rote Learning. It is no longer a secret truth that spiritual and value added education is as much required as that of scientific knowledge in view of the burgeoning crisis of inhuman acts such as barbarity and terrorism everywhere which if not controlled may engulf the whole human civilization. In rural and far flung areas, even science is learnt by Rote Learning initially and then in subsequent step it gets automatically converted to activity and creativity based Learning with the help of incessant rumination process. So Rote Learning is sine-qua-non for establishing the symbiosis between science and spirituality from incubation stage to pragmatic stage in human civilization. An honest endeavor is made to resurrect the glory of unsung Rote Learningwhich otherwisewas in oblivion and abandoned state.
Lennia Matos - One of the best experts on this subject based on the ideXlab platform.
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Examining the motivational impact of intrinsic versus extrinsic goal framing and autonomy-supportive versus internally controlling communication style on early adolescents' academic achievement.
Child development, 2005Co-Authors: Maarten Vansteenkiste, Joke Simons, Willy Lens, Bart Soenens, Lennia MatosAbstract:The present experimental research examined whether framing early adolescents' (11- to 12-year-olds) Learning activity in terms of the attainment of an extrinsic (i.e., physical attractiveness) versus intrinsic (i.e., health) goal and communicating these different goal contents in an internally controlling versus autonomy-supportive way affect performance. Both conceptual and Rote Learning were assessed. Three experimental field studies, 2 among obese and 1 among nonobese participants, confirmed the hypothesis that extrinsic goal framing and internal control undermine conceptual (but not Rote) Learning, even in comparison with a control group. Study 3 indicated that the positive effect of intrinsic goal framing on conceptual Learning was mediated by task involvement, whereas the positive effect of autonomy-supportive communication style on conceptual Learning was mediated by relative autonomous motivation.
Adnan N Qureshi - One of the best experts on this subject based on the ideXlab platform.
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disrupting the Rote Learning loop cs majors iterating over Learning modules with an adaptive educational hypermedia
Intelligent Tutoring Systems, 2018Co-Authors: Muhammad Mustafa Hassan, Adnan N QureshiAbstract:The Rote Learning problem has plagued the education systems of developing world since long. To name a few, improperly designed assessments, teachers’ authority, rewarding verbatim answers, sheer class sizes, and individual learner differences are amongst the most notable mediators. The authors report on the design and development of an adaptive educational hypermedia, which disrupts the Rote Learning loop by hitting a few of the aforementioned reasons. The reported system provides a personalized Learning experience to each learner, adapting on the basis of cognitive and Learning styles. Further, the assessments are designed in a way that they loop each failed Learning via variated paths, hence eliminating chances of Rote Learning. Moreover, the failed perturbations are traced back to the problematic domain segment for further knowledge acquisition. In-situ evaluations of the system with end-users (real students of Bachelor of Science in Computer Science) reveal a difference between control and experimental groups. The effect size is however moderate.
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ITS - Disrupting the Rote Learning Loop: CS Majors Iterating Over Learning Modules with an Adaptive Educational Hypermedia
Intelligent Tutoring Systems, 2018Co-Authors: Muhammad Mustafa Hassan, Adnan N QureshiAbstract:The Rote Learning problem has plagued the education systems of developing world since long. To name a few, improperly designed assessments, teachers’ authority, rewarding verbatim answers, sheer class sizes, and individual learner differences are amongst the most notable mediators. The authors report on the design and development of an adaptive educational hypermedia, which disrupts the Rote Learning loop by hitting a few of the aforementioned reasons. The reported system provides a personalized Learning experience to each learner, adapting on the basis of cognitive and Learning styles. Further, the assessments are designed in a way that they loop each failed Learning via variated paths, hence eliminating chances of Rote Learning. Moreover, the failed perturbations are traced back to the problematic domain segment for further knowledge acquisition. In-situ evaluations of the system with end-users (real students of Bachelor of Science in Computer Science) reveal a difference between control and experimental groups. The effect size is however moderate.
