Effective exploitation of the application-specific parallel patterns and computation operations through their direct implementation in hardware is the base for construction of high-quality application-specific (re-)co...
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Effective exploitation of the application-specific parallel patterns and computation operations through their direct implementation in hardware is the base for construction of high-quality application-specific (re-)configurable application specific instruction set processors (ASIPs) and hardware accelerators for modern highly-demanding applications. Although it receives a lot of attention from the researchers and practitioners, a very important problem of hardware reuse in ASIP and accelerator synthesis is clearly underestimated and does not get enough attention in the published research. This paper is an effect of an industry and academic collaborative research. It analyses the problem of hardware sharing, shows its high practical relevance, as well as a big influence of hardware sharing on the major circuit and system parameters, and its importance for the multi-objective optimization and tradeoff exploitation. It also demonstrates that the state-of-the-art synthesis tools do not sufficiently address this problem and gives several guidelines related to enhancement of the hardware reuse.
E-health and e-monitoring have become an increasingly important area during recent years, being the recognition of motion, postures and physical exercises one of the main topics. In this kind of problem is common to w...
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The development of ubiquitous sensing strategies in home environments underpins the promise of adaptive architectural design, assistive robotics, and services which would support a person's ability to live indepen...
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The development of ubiquitous sensing strategies in home environments underpins the promise of adaptive architectural design, assistive robotics, and services which would support a person's ability to live independently as they age. In particular, the ability to infer the actions and behavioral patterns of an individual from sensor data is key to effective design of such components for aging in place. Frequently, activity recognition is accomplished using vision based sensors. The method employed in this paper makes use of self similarities in a video motion sequence to construct a descriptor of the activity in the form of a Histogram of Oriented Gradients (HOG). Descriptors are used as exemplars for classification and are shown to accurately identify motion video recorded from other views. Three candidate motions were performed using a PUMA robot (for repeatability). Video of each motion was recorded from an array of vantage points on the surface of a virtual sphere surrounding the workspace of the robot. This method is then extended to non-video motion sensor data collected from the same set of points. Results show that mean HOGs generated from Self Similarity Matrices may serve as effective exemplars to classify motions in both video and non-video formats. Video data provides superior classification results. However, motion sensor data offers a less intrusive option with promising accuracy especially when multiple sensors outputs are fused to form aggregate readings.
When evolutionary algorithm (EA) applications are being developed it is very important to know which parameters have the greatest influence on the behavior and performance of the algorithm. This paper proposes using t...
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Aggregating the capacity and bandwidth of the commodity disks in the nodes of a cluster provides cost effective and high performance storage systems. Nevertheless, this strategy could be a feasible approach only if th...
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Engineering and scientific applications usually require to manage large quantities of data with different programs. The I/O demands of these applications get higher as they get larger because processor and memory spee...
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Combination of optical and acoustic sensors to compensate the strengths and weaknesses of each sensor modality is a topic of increasing interest in applications involving autonomous underwater vehicles (AUV). In this ...
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This paper presents an approach to the evolution of the cooperative behaviour of some bots inside the PC game Unreal. We intend to create bots that cooperate as a team trying to beat other teams (composed of human pla...
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Storing useful information can avoid useless constraint propagation in the process of algorithm. According to that, Some improvements were made on Singleton Arc Consistency algorithm in the preprocessing step and prop...
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Storing useful information can avoid useless constraint propagation in the process of algorithm. According to that, Some improvements were made on Singleton Arc Consistency algorithm in the preprocessing step and propose a revised algorithm, denoted SAC3-Revised, which can decrease constraint propagation and time. In our experiments on random CSPs, the efficiency of our algorithm is 2 times of SAC-3 when p2 is in a certain scope and then reaches a steady behavior. Experiments on benchmark show that the efficiency of SAC3_Revised is better than that of SAC-3.
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