A full-scale 3D simulation study of the impact of metal gate granularity (MGG) on the off-state of a 25 nm length gate SOI FinFET is carried out. The 3D simulations are performed using a parallel finite-element simula...
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In one-way quantum computation (1WQC) model, universal quantum computations are performed using measurements to designated qubits in a highly entangled state. The choices of basis for these measurements as well as the...
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In one-way quantum computation (1WQC) model, universal quantum computations are performed using measurements to designated qubits in a highly entangled state. The choices of basis for these measurements as well as the structure of the entanglements specify a quantum algorithm. Although a number of methods have been proposed to simulate quantum circuit model on classical computers, no efficient tool has been developed to simulate the 1WQC model directly. In this paper, some techniques such as qubit elimination, implicit and in-place matrix-vector multiplication and pattern reordering are utilized to considerably reduce the time and memory needed for the simulations. These techniques were implemented in a tool called One-Way Quantum computation Simulator (OWQS). Experimental results validate the efficiency of the proposed approach.
As the complexity of mixed-signal systems grows, the challenges of their design becomes exponentially more difficult. In order to mitigate this problem, this paper proposes a two stage approach that uses accurate meta...
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As the complexity of mixed-signal systems grows, the challenges of their design becomes exponentially more difficult. In order to mitigate this problem, this paper proposes a two stage approach that uses accurate metamodels and efficient algorithms for fast mixed-signal system optimization. The different components of a Phase-Locked Loop (PLL) are considered as case study. First, the metamodel creation process is presented. A simulated annealing based optimization algorithms then introduced for power optimization of the components. It is shown that the metamodel approach speeds up the optimization phase by 2000× with very good accuracy. The power consumption of the circuits is decreased by 22% for the baseline design and is within 8% of the circuit netlist-based, but computationally expensive approach.
Background: Much progress has been made in understanding the 3D structure of proteins using methods such as NMR and X-ray crystallography. The resulting 3D structures are extremely informative, but do not always revea...
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Background: Much progress has been made in understanding the 3D structure of proteins using methods such as NMR and X-ray crystallography. The resulting 3D structures are extremely informative, but do not always reveal which sites and residues within the structure are of special importance. Recently, there are indications that multiple-residue, sub-domain structural relationships within the larger 3D consensus structure of a protein can be inferred from the analysis of the multiple sequence alignment data of a protein family. These intra-dependent clusters of associated sites are used to indicate hierarchical inter-residue relationships within the 3D structure. To reveal the patterns of associations among individual amino acids or sub-domain components within the structure, we apply a k-modes attribute (aligned site) clustering algorithm to the ubiquitin and transthyretin families in order to discover associations among groups of sites within the multiple sequence alignment. We then observe what these associations imply within the 3D structure of these two protein families. Results: The k-modes site clustering algorithm we developed maximizes the intra-group interdependencies based on a normalized mutual information measure. The clusters formed correspond to sub-structural components or binding and interface locations. Applying this data-directed method to the ubiquitin and transthyretin protein family multiple sequence alignments as a test bed, we located numerous interesting associations of interdependent sites. These clusters were then arranged into cluster tree diagrams which revealed four structural sub-domains within the single domain structure of ubiquitin and a single large sub-domain within transthyretin associated with the interface among transthyretin monomers. In addition, several clusters of mutually interdependent sites were discovered for each protein family, each of which appear to play an important role in the molecular structure and/or function. Co
By exploiting reception diversity of wireless network links, researchers have shown that opportunistic routing can improve network performance significantly over traditional routing schemes. However, recently empirica...
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ISBN:
(纸本)9781467307734;9781467307758
By exploiting reception diversity of wireless network links, researchers have shown that opportunistic routing can improve network performance significantly over traditional routing schemes. However, recently empirical studies indicate that we are too optimistic, i.e. diversity gain can be overestimated if we continue to assume that packet receptions of wireless links are independent events. For the first time, this paper formally analyzes the opportunistic routing gain under the presence of link correlation considering the loss of DATA and ACK packets. Based on the model, we introduce a new link-correlation-aware opportunistic routing scheme, which improves the performance by exploiting the diverse uncorrelated forwarding links. Our design is evaluated using simulation where we show (i) link correlation leads to less diversity gain, (ii) and with our link-correlation-aware design; improvement can be gained. We also provide a unique model to generate strings of randomly correlated receptions.
This paper describes an obstacle detection algorithm for low flying unmanned aircraft system (UAS) using an inertial aided inverse depth Extended Kalman Filter (EKF) framework. The EKF framework fuses inertial measure...
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This paper describes an obstacle detection algorithm for low flying unmanned aircraft system (UAS) using an inertial aided inverse depth Extended Kalman Filter (EKF) framework. The EKF framework fuses inertial measurements with monocular image sensor measurements to estimate the positions of a number of landmarks as well as the position and orientation of the UAS. A high resolution sparse terrain elevation map and UAS trajectory can then be computed from the filter state vector. An inverse depth parameterization is used to describe the position of the landmarks so that features at all ranges can be tracked by the filter. A test flight was conducted to test the algorithm in a realistic scenario. The result shows that the algorithm produces accurate terrain elevation model, and is capable of generating accurate high resolution terrain elevation map when image sensor with high resolution and dynamic range is used.
As we all know coordinated control system (CCS) has large delay, strong coupling and its precise mathematical model is hard to obtain. So the regular control strategy is often difficult to get satisfactory control qua...
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Topology control is an efficiency method that can enhance the energy efficiency in a wireless sensor network. There are several research discuss the topology control problem only focus on topology construction or topo...
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This paper describes the integration of a sensor data stream monitoring system into a proposed functional product model capable of predicting functional availability. Such monitoring systems enable predictive maintena...
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