With the increasing application of distributed energy resources and information technologies in the electricity infrastructure, innovative possibilities for incorporating the demand side more actively in power system ...
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With the increasing application of distributed energy resources and information technologies in the electricity infrastructure, innovative possibilities for incorporating the demand side more actively in power system operation are enabled. At the residential level energy costs could be reduced with intelligent price-based control concepts (demand response). A promising, controllable, residential distributed generation technology is micro cogeneration (micro-CHP). Micro-CHP is an energy efficient technology that simultaneously provides heat and electricity to households during operation. This paper presents a detailed model of a household using a proton exchange membrane fuel cell (PEMFC) micro-CHP system in conjunction with heat storage options to fulfil its heat and part of its electricity demand. Furthermore, a decentralised controller based on a model predictive control (MPC) strategy is proposed. MPC can take benefit of future knowledge on prizes and energy demands and can therefore lead to better system performance. In simulations the performance of the MPC-controlled PEMFC system is illustrated under different conditions regarding energy pricing, domestic energy demand, and system configuration.
The dependence of the g factors of semiconductor donors on applied electric and magnetic fields is of immense importance in spin-based quantum computation and in semiconductor spintronics. The donor g-factor Stark shi...
The dependence of the g factors of semiconductor donors on applied electric and magnetic fields is of immense importance in spin-based quantum computation and in semiconductor spintronics. The donor g-factor Stark shift is sensitive to the orientation of the electric and magnetic fields and is strongly influenced by the band-structure and spin-orbit interactions of the host. Using a multimillion atom tight-binding framework, the spin-orbit Stark parameters are computed for donors in multivalley semiconductors, silicon, and germanium. Comparison with limited experimental data shows good agreement for a donor in silicon. Results for gate-induced transition from three-dimensional to two-dimensional wave-function confinement show that the corresponding g-factor shift in Si is experimentally observable, and at modest B field, O(1 T) can exceed the Stark shift of the hyperfine interaction.
Due to the unreliable nature of the wireless medium, provisioning of the Quality of Service (QoS) in wireless LANs is by far more complicated than in wired networks. In this demo we show the efficiency of a new QoS su...
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With the advent of semantic technology' access control cannot be done in a safe way unless the access decision takes into account the semantic relationships among the entities in a semantic-aware environment. The ...
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With the advent of semantic technology, access control cannot be done in a safe way unless the access decision takes into account the semantic relationships between entities in a semantic-aware environment. SBAC model...
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This study proposed a groupware and a flow of learning activity to guide students in learning arithmetic word problem with handheld devices. Appropriating the concept of semi-situated learning which was aided by the 4...
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ISBN:
(纸本)9780769531083
This study proposed a groupware and a flow of learning activity to guide students in learning arithmetic word problem with handheld devices. Appropriating the concept of semi-situated learning which was aided by the 4-frame comic embedded into the PDA, this study expected the comic to play as a catalyst to trigger students in articulating some theme associated with the content of the 4-frame comic. The scenario and features of this groupware are presented in the paper and a preliminary study at an elementary school is also described and discussed.
Image inpainting technique is that repairs damaged area or remove areas in an image. In order to deal with this kind of problems, not only a robust image inpainting algorithm should be used, technique of structure gen...
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A distributed and adaptive framework (DAF) was proposed for provisioning quality of service (QoS) in IPv6 network. In DAF, per-flow admission control and resource reservation, in conjunction with a new IPv6 flow label...
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A distributed and adaptive framework (DAF) was proposed for provisioning quality of service (QoS) in IPv6 network. In DAF, per-flow admission control and resource reservation, in conjunction with a new IPv6 flow label mechanism, can be performed instantaneously in a fully distributed and independent fashion at the edge of network without hop-by-hop signaling. The flow label helps in resource reservation and packets forwarding for aggregated traffic on an edge-to-edge path basis. In addition, a bounded directional probing technique for DAF was designed to reconfigure resource reservation adaptively between every pair of edge router for aggregated traffic according to the fluctuation of its traffic load. The simulation results show that DAF provides QoS guarantees to individual flows with minimal overhead, as well as keeping the scalability characteristic like DiffServ.
An iris recognition algorithm based on 1D spatial domain signatures is improved by extending template data from mean vectors to 2D histogram information. EER and shape of the FAR curve is clearly improved as compared ...
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ISBN:
(纸本)9789898111326
An iris recognition algorithm based on 1D spatial domain signatures is improved by extending template data from mean vectors to 2D histogram information. EER and shape of the FAR curve is clearly improved as compared to the original algorithm, while rotation invariance and the low computational demand is maintained. The employment of the proposed scheme remains limited to the similarity ranking scenario due to its overall FAR/FRR behaviour.
Energy-efficient (green) supercomputing has evolved to improve system reliability and provide better availability and productivity. Green Destiny supercomputing system is a Linux-based cluster that uses low-power comp...
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Energy-efficient (green) supercomputing has evolved to improve system reliability and provide better availability and productivity. Green Destiny supercomputing system is a Linux-based cluster that uses low-power components whose performance could be optimized for supercomputing. Low-power supercomputing focuses on energy efficiency at system integration time, selects low-power chips as the building blocks for power reduction and system reliability, and achieves better performance by scaling up to a larger number of processors. Researchers have implemented various power-aware software prototypes for commodity supercomputing starting with cluster of high-performance, high-power processors that support mechanism called dynamic voltage and frequency scaling (DVFS). Various approaches for parallel supercomputing nodes are studied by aiming execution phases that are not on the critical execution path.
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