SPOC blended teaching of introducing MOOC resources into the classroom is favored by the teachers in colleges and universities. To improve students' programming skills and deep learning ability, a SPOC-STAD cooper...
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this document deals withthe problem of stability and stabilization of large-scale systems described by Takagi-Sugeno interconnected fuzzy models in discrete-time, while imposing positivity in a closed loop. the syste...
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Personality and traits influence learning strategies. Our previous study demonstrated that tailoring learning materials based on personality traits improved student performance. We developed Codenote, a web-based prog...
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In this paper, the upper optimization, based on the dynamic model of heating network, solves the problem of pipe network failure caused by too low temperature, the lower layer optimizes the capacities of the devices a...
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the uncertain multi-attribute decision making(UMADM) problem that the information about attribute weights is known partly and the decision maker(DM) has preference information on alternatives in the form of interval n...
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ISBN:
(纸本)9781510819085
the uncertain multi-attribute decision making(UMADM) problem that the information about attribute weights is known partly and the decision maker(DM) has preference information on alternatives in the form of interval numbers complementary judgment matrix is investigated. Firstly, based on interval numbers complementary matrix the objective decision information is uniformed by using a translation function and then a goal programming model is established. the attribute weights are obtained by solving the model and thus the overall values of every alternative are gained. Secondly, by using an existing priority formula of possibility the alternatives are ranked. An approach based on the goal programming model and possibility is proposed. It is characterized by simple operation and easy to implement on computer. Finally, a practical example is illustrated to show the feasibility and availability of the developed method.
To improve the fuel economy of hybrid electric vehicles, the structure of a power-split hybrid power system based on the Ravina double-row planetary gear mechanism is studied, and the mathematical control model of the...
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Flash memory based Solid State Drives (SSDs) are gaining momentum toward replacing traditional Hard Disk Drives (HDDs) in computers and are now also generating commercial interest from enterprise data storage companie...
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ISBN:
(纸本)9789898565334
Flash memory based Solid State Drives (SSDs) are gaining momentum toward replacing traditional Hard Disk Drives (HDDs) in computers and are now also generating commercial interest from enterprise data storage companies. However, storage locations in Flash memory devices degrade through repeated programming and erasing. As the storage blocks within a Flash device deteriorate through use, their ability to retain data while powered off over long periods also diminishes. Currently there is no way to predict whether a block will successfully retain data for a specified period of time while powered off. We detail our use of Genetic programming (GP) to evolve a binary classifier which predicts whether blocks within a Flash memory device will still satisfactorily retain data after prolonged use, saving considerable amounts of testing time. this is the first time a solution to this problem has been proposed and results show an average of over 85% correct classification on previously unseen data.
Verification and interval arithmetic are the fundamental methods that we deal with in error analysis. Verification strategy is used in most error analysis on solution sets of linear and nonlinear systems. On the other...
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Diabetes is emerging as a predominant disease in the developing countries like India. the disease is becoming very serious and cause many other problems in the human body. Many factors are remaining as a cause for thi...
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MapReduce is a programming model developed by Google for processing and generating large data sets in distributed environments. Many real-world tasks can be implemented by two functions, map and reduce. MapReduce play...
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