In general, DC-DC converter is a highly nonlinear system. More than one decade ago, many researchers have approved that DC-DC converters are experiencing bifurcation and chaotic oscillations. In this paper, DC-DC buck...
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In general, DC-DC converter is a highly nonlinear system. More than one decade ago, many researchers have approved that DC-DC converters are experiencing bifurcation and chaotic oscillations. In this paper, DC-DC buck converter is been studied and analyzed. The study showed that such DC-DC buck converter is experiencing a nonlinear behaviour (chaotic behaviour) under certain operation conditions. In this paper, we studied the bifurcation and chaos in the DC-DC buck converter by changing different control parameters. Bifurcation diagrams and state-space diagrams have been shown for these parameters.
Air conditioning is responsible for around 60% of energy use in commercial buildings and is rapidly increasing in the residential sector. Although each system is individually small, the proliferation of air conditioni...
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Air conditioning is responsible for around 60% of energy use in commercial buildings and is rapidly increasing in the residential sector. Although each system is individually small, the proliferation of air conditioning and the correlation of energy use with temperature is driving peak demand and the need for electricity distribution network upgrades. Energy retailers are now looking for ways to reduce this aggregate peak demand, leading to a tradeoff between peak demand, energy cost and the thermal comfort of building occupants. This paper presents a multi-objective evolutionary algorithm (MOEA) to quantify trade-offs amongst these three competing goals. We study a scenario with 8 air conditioners (ACs) and compare our findings against the case of having all ACs working independently, irrespective of global goals. The results show that, with statistically significant certainty, any run of the MOEA outperforms any scenario where the ACs function independently to keep a given level of comfort on a typical hot day.
Cooperative Communication (CC) is a technology that allows multiple nodes to simultaneously transmit the same data. It can save power and extend transmission coverage. However, prior research work on topology control ...
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ISBN:
(纸本)9781424458363
Cooperative Communication (CC) is a technology that allows multiple nodes to simultaneously transmit the same data. It can save power and extend transmission coverage. However, prior research work on topology control considers CC only in the aspect of energy saving, not that of coverage extension. We identify the challenges in the development of a centralized topology control scheme, named Cooperative Bridges, which reduces transmission power of nodes as well as increases network connectivity. We observe that CC can bridge (link) disconnected networks. We propose two algorithms that select the most energy efficient neighbor nodes, which assist a source to communicate with a destination node;an optimal method and a greedy heuristic. In addition, we consider a distributed version of the proposed topology control scheme. Our findings are substantiated by an extensive simulation study, through which we show that the Cooperative Bridges scheme substantially increases the connectivity while consuming a similar amount of transmission power compared to other existing topology control schemes.
Since the medical training samples are very limited, it is difficult to construct a statistical shape model with good generalization using few samples. In this paper, we propose a novel statistical shape modeling meth...
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Since the medical training samples are very limited, it is difficult to construct a statistical shape model with good generalization using few samples. In this paper, we propose a novel statistical shape modeling method using 2D PCA. The 3D shape is represented as a matrix by spherical parameterization. The experiments showed that our proposed method can reconstruct statistical shape model with good generalization even using fewer samples.
In the present paper, thermal interface resistance between carbon nanotubes and silicon using molecular dynamic (MD) simulations is determined. The MD simulations showed a temperature discontinuity of 53°K and 56...
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In the present paper, thermal interface resistance between carbon nanotubes and silicon using molecular dynamic (MD) simulations is determined. The MD simulations showed a temperature discontinuity of 53°K and 56°K at the interface between silicon and (11,11) SWNT and (19,0), respectively. This results in thermal interfaces resistances of 2.85x10 -9 m K/W and 3.34x10 -9 m K/W at the interface between silicon and (11, 11) SWNT and (19, 0), respectively. These thermal interface resistances are of the same order of magnitude and the silicon (19, 0) CNT interface shows a 17% higher thermal interface resistance than that of silicon(11, 11) CNT interface.
In this paper, we propose an adaptive cross-layer radio resource allocation (CL_ARRA) scheme, which is compatible with the IEEE 802.16e-2005 Orthogonal Frequency Division Multiple Access (OFDMA) air interface. The sch...
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ISBN:
(纸本)9781424455928;9781424455935
In this paper, we propose an adaptive cross-layer radio resource allocation (CL_ARRA) scheme, which is compatible with the IEEE 802.16e-2005 Orthogonal Frequency Division Multiple Access (OFDMA) air interface. The scheme comprises two steps: dynamic subcarrier allocation (DSA) and dynamic power allocation (DPA). Using DSA and DPA, we obtain a cross-layer function to maximize the system throughput and average delay performance under specific constraints. Unlike conventional methods that require different frequency resources for neighboring cells, our scheme allows overlapped cells to share the same frequency resource and reduces transmission collisions. In addition, our scheme incorporates a delay component to support real-time traffic. The performance of our scheme is validated by analytical and simulation results. It will be shown that CL_ARRA is superior to the proportional fair scheduler in 802.16e OFDMA because it takes into consideration of not only the channel state information but also the queue state information.
While a tunneling field-effect transistor (TFET) is an attractive candidate for sub-20 nm ultra-low-power device, high I ON /I OFF and on-current are rarely reported with the deep-submicron structures. In this study,...
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While a tunneling field-effect transistor (TFET) is an attractive candidate for sub-20 nm ultra-low-power device, high I ON /I OFF and on-current are rarely reported with the deep-submicron structures. In this study, we propose a practical novel TFET structure with vertical channel and Ge junction, which shows high current ratio, low subthreshold swing and relatively high current even when the minimum device dimension is smaller than 20 nm. To find the optimum design, the off-state injection of a short-channel TFET and optimization of the source-side junction are studied by simulation.
In this paper, we derive the impulse response of a generalized commensurate fractional-order filter of the form (s 2α +as α +b) -γ , where a, b ≥ 0, α ∈ (0, 1] and γ ∈ (0, 1). The asymptotic properties of the ...
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In this paper, we derive the impulse response of a generalized commensurate fractional-order filter of the form (s 2α +as α +b) -γ , where a, b ≥ 0, α ∈ (0, 1] and γ ∈ (0, 1). The asymptotic properties of the impulse responses are obtained. Moreover, based on the derived analytical impulse response, we show how to perform the discretization of the above fractional-order filter. Finally, a number of illustrated examples in time and frequency domains are provided as proofs of concepts.
In this work, Monte Carlo simulation was used to investigate the Debye dielectric behavior of mixed normal- and relaxor-ferroelectrics. The results show that, with increasing temperature, the dielectric permittivity o...
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