Queue computing based programs are generated using a so called level order traversal that exposes all available parallelism in the programs. All instructions within the same level are data independent from each other ...
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Queue computing based programs are generated using a so called level order traversal that exposes all available parallelism in the programs. All instructions within the same level are data independent from each other and are safely to be executed in parallel. This property is leveraged by the compiler generating queue programs with high amounts of grouped independent instructions. Thus, the hardware invests little efforts to find parallelism. In this paper, we present various optimization and design issues of a synthesizable queue processor architecture targeted for embedded applications. A prototype implementation is produced by synthesizing the high-level model for a target FPGA device.
We present in this paper architecture and preliminary evaluation results of a novel dual-mode processor architecture which supports queue and stack computation models in a single core. The core is highly adaptable in ...
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We present in this paper architecture and preliminary evaluation results of a novel dual-mode processor architecture which supports queue and stack computation models in a single core. The core is highly adaptable in both functionality and configuration. It is based on a reduced bit produced order queue computation instruction set architecture and functions into Queue or Stack execution models. This is achieved via a so called dynamic switching mechanism implemented in hardware. The current design focuses on the ability to execute Queue programs and also to support Stack based programs without considerable increase in hardware to the base architecture. We present the architecture description and design results in a fair amount of details.
A new method is presented for reducing the computational load and removing mismatch between the azimuth and elevation angle existing in estimation of subspace rotational in variance technology (ESPRIT) algorithm. Inst...
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A new method is presented for reducing the computational load and removing mismatch between the azimuth and elevation angle existing in estimation of subspace rotational in variance technology (ESPRIT) algorithm. Instead of eigen-decomposition, the propagator method is applied to generate rotational invariance matrix, and the elevation angle estimation is derived from the estimated azimuth angle. Thus, the computational load can be decreased greatly, and parameters paired automatically. In addition, a novel three-dimensional array is designed to accurately estimate the source signal from any direction. Simulation results showed that the proposed method is characterized by fast computation speed and high precision.
Validation is one of the most complex and expensive tasks in current Application Specific Instruction Set Processors (ASIP) design process. Many existing approaches employ a multiple-level approach to efficiently desi...
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Validation is one of the most complex and expensive tasks in current Application Specific Instruction Set Processors (ASIP) design process. Many existing approaches employ a multiple-level approach to efficiently design and verify ASIP design. This paper presents a novel extended timed Petri Net model called HDPN-Hardware Design based-on Petri Net to model systems at multiple levels,and introduces a verification scheme based on HDPN to satisfy the requirement of Design Space Exploration (DSE). This paper focuses on formal modeling and verification ASIP *** a DLX pipelined processor is presented to demonstrate the validity and usage of this method.
In this paper, a novel time-of-arrival estimation algorithm is proposed for impulse radio-based UWB systems in dense multipath environment. In particular, a dedicated ranging sequence with good cross-correlation prope...
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In this paper, we concern a swing-up control problem for an n-link revolute planar robot with any one of the joint being a passive joint. The goal of this study is to design and analyze a swing-up controller that can ...
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ISBN:
(纸本)9781424431236
In this paper, we concern a swing-up control problem for an n-link revolute planar robot with any one of the joint being a passive joint. The goal of this study is to design and analyze a swing-up controller that can bring the robot into any arbitrarily small neighborhood of the upright equilibrium point with all links in the upright position. To achieve this challenging objective while preventing the robot from becoming stuck at an undesired closed-loop equilibrium point, first, we address how to iteratively devise two series of virtual composite links separated by the passive joint to be used for designing a coordinate transformation on the angles of all active joints. Second, we devise an energy based swing-up controller that uses a new Lyapunov function based on that transformation. Third, we analyze the global motion of the robot under the controller and establish conditions on control parameters that ensure attainment of the swing-up control objective. The results obtained here unify some previous results for the Pendubot, the Acrobot, and three-link robots with a passive first joint. Finally, we validate the theoretical results via a numerical simulation investigation to a 4-link robot with a passive joint.
In many cases, protein mass-spectrometry data are imbalanced, i.e. the number of positive examples is much less than that of negative ones, which generally degrade the performance of classifiers used for protein recog...
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In many cases, protein mass-spectrometry data are imbalanced, i.e. the number of positive examples is much less than that of negative ones, which generally degrade the performance of classifiers used for protein recognition. Despite its importance, few works have been conducted to handle this problem. In this paper, we present a new method that utilizes the EasyEnsemble algorithm to cope with the imbalance problem in mass-spectrometry data. Furthermore, two feature selection algorithms, namely PREE (Prediction Risk based feature selection for EasyEnsemble) and PRIEE (Prediction Risk based feature selection for Individuals of EasyEnsemble), are proposed to select informative features and improve the performance of the EasyEnsemble classifier. Experimental results on three mass spectra data sets demonstrate that the proposed methods outperform two existing filter feature selection methods, which prove the effectiveness of the proposed methods.
A polydimethylsiloxane (PDMS) light-guide plate (LGP) having micropatterns with an inverse-trapezoidal cross section was developed for a sheet-less LCD backlight unit (BLU). The micropatterned PDMS LGP was fabricated ...
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Association rule discovery is one of kernel tasks of data mining. Concept lattice, induced from a binary relation between objects and features, is a very useful formal analysis tool. It represents the unification of c...
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