Conducting surveys is a costly and time-consuming process. We developed a playful questionnaire that addresses the issue of motivation for voluntary participation. In addition, distributing playful questionnaires on F...
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the computational effectiveness can be achieved with various well-known parallel technologies like clusters (distributed computingthrough a group of linked computers) and grids (loosely coupled and geographically dis...
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ISBN:
(纸本)0953914089
the computational effectiveness can be achieved with various well-known parallel technologies like clusters (distributed computingthrough a group of linked computers) and grids (loosely coupled and geographically dispersed computer network). Because of their expensive set-up costs, availability or universality to run the present code (distributed software license costs) it can not be used by various companies/institutions. Another possibility to parallelize the calculations and therefore to get faster results is to utilize a single PC's GPU (Graphical Processing Unit) card as those set-ups are already in use for several engineering tasks. Visual effects community has been employed the GPU (Graphical Processing Unit) power for various computationally expensive calculations for some years. GPU power as an alternative to mainstream CPU (Central Processing Unit) has been available quite a long time thanks to well-known graphics board manufactures (like NVIDIA, AMD) but just recently the curiosity to use it for everyday scientific calculations has been arisen. the capability to use for example single GPU's 128 processing cores instead just 4 or 8 CPU cores should make the point - we get faster results to our water network optimization problems even in a consumer desktop (or laptop) computer. the increase in calculations time does not come without recoding our algorithms. the scope of this article is to search the possibilities how the present optimization code can be transferred to use endorsed GPU power. For that purpose the NVIDIA GPU parallel language CUDA (Compute Unified Device Architecture) will be used that supports developers to program also on MATLAB (using some wrapper or add-on). Starting with simple engineering problems and test-procedures, the final goal is to enhance a global optimization code called SCEM-UA (Shuffled Complex Evolution Metropolis algorithm) such that it utilizes also GPU power during water network optimization run. All tests are carried ou
network analysis is an important term in different scientific areas and finding the structure of communities is a significant challenge in network analysis. A group of vertices with high intra-connection and sparse in...
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network analysis is an important term in different scientific areas and finding the structure of communities is a significant challenge in network analysis. A group of vertices with high intra-connection and sparse inter-connection is called community. In this paper, we propose a novel method for community detection in networks, which works better in time and precision compared to similar methods. the proposed method is able to detect communities of a wide variety of networks with different properties. this method is an agglomerative parallel algorithm. Also it can find multiple communities and exchange the nodes between detected communities simultaneously. It has utilized local modularity for constructing the communities. After all, genetic algorithm is used to optimize the parameters of the proposed method. the algorithm is evaluated by modularity metric and shows a noticeable good precision. Also it has used simulated annealing to maximize the modularity.
the Cellular Neural network (CNN) is very efficient for image processing tasks. However, there are limitations in its processing capabilities because some tasks can not be learned by a single CNN network. In recent ye...
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ISBN:
(纸本)9781457710117
the Cellular Neural network (CNN) is very efficient for image processing tasks. However, there are limitations in its processing capabilities because some tasks can not be learned by a single CNN network. In recent years it has been accepted that a set of CNNs connected in parallel can realize more complex image processing tasks than a single CNN. Also recently it has been reported an architecture of neurofuzzy adaptable network (SIMAP) able to construct its structure and membership functions using only input-output data. In this paper is described the way of associating a CNN for every fuzzy rule in the SIMAP network for making complex image processing tasks, which are impossible to do for a unique CNN.
As PC clusters increase in popularity and quantity, message-passing between nodes has been an important issue for high failure rate in the network. File access in a cluster file system often contains several sub-opera...
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Among all types of production environment, identical parallel machines are frequently used to increase the manufacturing capacity of the drilling operation in Taiwan printed circuit board (PCB) industries. So when a m...
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ISBN:
(纸本)9783642247279
Among all types of production environment, identical parallel machines are frequently used to increase the manufacturing capacity of the drilling operation in Taiwan printed circuit board (PCB) industries. So when a manager plans the production scheduling, multiple but conflicting objectives are often considered. Unlike the single objective problem, the multiple-objective version no longer looks for an individual optimal solution, but a Pareto front consisting of a set of non-dominated solutions. the manager then can select one of the alternatives from the set. For this matter, our research aims at applying a variable neighborhood search (VNS) algorithm in the identical parallel machine scheduling problem (IPMSP) with two conflicting objectives: makespan and total tardiness. In VNS, two neighborhoods are defined - insert a job to a different position or swap two jobs in the sequence. To save the computational expense, one of the neighborhoods is randomly selected for the target solution which is also arbitrarily chosen from the current Pareto front. the proposed VNS algorithm is tested on a set of real data collected from a leading PCB factory in Taiwan and its performance is compared with well-known methods in the literature. the computational results show that VNS outperforms all competing algorithms - SPGA, MOGA, NSGA-II, SPEA-II, and MACO in terms of solution quality and computational time.
the paper using the inverse kinematics theory of the parallel mechanism,studied the movable needs of the transplanting *** the inverse kinematics formula of transplanting *** the demand of the "fetch and plant&qu...
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ISBN:
(纸本)9783642272745
the paper using the inverse kinematics theory of the parallel mechanism,studied the movable needs of the transplanting *** the inverse kinematics formula of transplanting *** the demand of the "fetch and plant" operations,made an important research on the two trajectory planning methods of the moving platform:quintic and septic polynomial motion laws,acquired their variation rules of displacement,velocity,acceleration and saltus by using matlab software,and to make *** selected the law of motion equation,through numerical simulation of inverse kinematics by matlab,acquired kinematic parameters angular speed and acceleration of the two active motors,can be used as the priority basis for control the movement of the manipulator.
the proceedings contain 125 papers. the topics discussed include: schedule swapping: a technique for temperature management of distributed embedded systems;user-level network protocol stacks for automotive infotainmen...
ISBN:
(纸本)9780769543222
the proceedings contain 125 papers. the topics discussed include: schedule swapping: a technique for temperature management of distributed embedded systems;user-level network protocol stacks for automotive infotainment systems;replay debugging for multi-threaded embedded software;optimizing runtime reconfiguration decisions;architectural support for reducing parallel processing overhead in an embedded multiprocessor;trading conditional execution for more registers on ARM processors;co-simulation of self-adaptive automotive embedded systems;empirical evaluation of content-based pub/sub systems over cloud infrastructure;a reflective service gateway for integrating evolvable sensor-actuator networks with pervasive infrastructure;handling mobility on a QoS-aware service-based framework for mobile systems;trust measurement methods in organic computing systems by direct observation;and rule-based approach for context inconsistency management scheme in ubiquitous computing.
the proceedings contain 10 papers. the topics discussed include: CRM-OO-VM: a checkpointing-enabled Java VM for efficient and reliable e-science applications in grids;multi-domain grid/cloud computingthrough a hierar...
ISBN:
(纸本)9781450304535
the proceedings contain 10 papers. the topics discussed include: CRM-OO-VM: a checkpointing-enabled Java VM for efficient and reliable e-science applications in grids;multi-domain grid/cloud computingthrough a hierarchical component-based middleware;a scheduling model for workflows on grids and clouds;adaptive threshold-based approach for energy-efficient consolidation of virtual machines in cloud data centers;resource allocation across multiple cloud data centers;optimizing the pre-processing of scientific visualization techniques using QEF;a middleware for parallel processing of large graphs;Mooshabaya - mashup generator for XBaya;the dark energy survey data management system as a data intensive science gateway;and BISSA: empowering web-gadget communication with tuple spaces.
Time-consuming cycle-accurate MPSoC simulation is often needed for debugging and verification. Its practicability is put at risk by the growing MPSoC complexity. this work presents a conservative synchronous parallel ...
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ISBN:
(纸本)9781605589053
Time-consuming cycle-accurate MPSoC simulation is often needed for debugging and verification. Its practicability is put at risk by the growing MPSoC complexity. this work presents a conservative synchronous parallel simulation approach along with a SystemC framework to accelerate tightly-coupled MPSoC simulations on multi-core hosts. Key contribution is the implementation strategy, which utilizes techniques from the high-performance computing domain. Results show speed-ups of up to 4.4 on four host cores.
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