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Heterogeneous CPU-GPU systems have recently emerged as an energy-efficient computing platform. A robust integrated CPU-GPU simulator is essential to facilitate researches in this direction. While few integrated CPU-GPU simulators are available, similar tools that support OpenCL 2.0, a widely used new standard with promising heterogeneous computing features, are currently missing. In this paper, we...
This paper proposes a novel Shift with Importance Sampling (SIS) scheme to improve the efficiency in pedestrian detection but maintain its high accuracy. For fast and efficient object detection, the cascade-Adaboost structure is the commonly-used approach in the literature. However, its detection performance is quite lower due to non-robust features and a fully-scanning on image especially when deformable...
In this paper, we propose a novel automatic and effective method for the vessel segmentation based on Hessian matrix. First, to obtain vessel structure more reliably, we select 25 frames of well-contrast angiograms automatically for further vessel segmentation. Second, we define an adaptive feature transform function using the gray value and the scale to improve the feature response. First, we enhance...
This paper discusses about the findings of a radar cross section (RCS) study of human at 76–77 GHz based on full-wave numerical model simulations. The trade-off between simulation accuracy and computation efficiency is discussed. In general, simulating full-body scattering at 76–77 GHz requires a fairly large computation resource (memory and CPU time) due to the large size of average human in terms...
Mutation Analysis (MA) is a fault-based simulation technique that is used to measure the quality of testbenches for mutant detections where mutants are simple syntactical changes in the designs. A mutant is said living if its error effect cannot be observed at the primary outputs. Previous works mainly focused on the cost reduction in the process of MA, because the MA is a computation intensive process...
The three-dimensional Network-on-Chip (3D NoC) has been proposed to solve the complex on-chip communication issues. However, the thermal problems become more exacerbated because of the larger power density and the heterogeneous thermal conductance in different silicon layer of 3D NoC. To regulate the system temperature, the Dynamic Thermal Management (DTM) techniques will be triggered when the device...
The paper proposed a novel method for lip recognition based on Active Basis Model (ABM). There are four stages in a flowchart of this novel method. At the first stage the deformable templates of lip images is obtained. The lip images of deformable templates are obvious open or closed. The second stage is to obtain the deformed template of each testing images. The third stage, the difference between...
Node merging is a popular and effective logic restructuring technique that has recently been applied to minimize logic circuits. However, in the previous satisfiability (SAT)-based methods, the search for node mergers required trial-and-error validity checking of a potentially large set of candidate mergers. Here, we propose a new method, which directly identifies node mergers using logic implications...
In this study we integrate a self-guided genetic algorithm with dominance properties (DPs) which is named DP-Self-guided GA. Self-guided GA is belonged to the category of evolutionary algorithms based on probabilistic models (EAPM) and it is effective and efficient in solving the scheduling problems. In order to further enhance the performance of this algorithm, it is thus integrated with DPs because...
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