In this paper, we propose a novel method for power per area optimization under yield constrains in multichannel neural recording interface. Using a sequence of minimizations with iteratively-generated low-dimensional ...
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ISBN:
(纸本)9781467363891
In this paper, we propose a novel method for power per area optimization under yield constrains in multichannel neural recording interface. Using a sequence of minimizations with iteratively-generated low-dimensional subspaces, our approach renders consistently improved power per area ratio and imposes no restrictions on the distribution of process parameters or how the data enters the constraints. the experimental results, obtained on neural recording interface circuits in CMOS 90nm technology, demonstrate power sayings of up to 26% and area of up to 22% without yield penalty.
Web service evaluation is a phase in Web service selection where discovered Web services are evaluated with respect to user requests, which means that the non functional properties (NFPs) offered by Web services are c...
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ISBN:
(纸本)9780769538549
Web service evaluation is a phase in Web service selection where discovered Web services are evaluated with respect to user requests, which means that the non functional properties (NFPs) offered by Web services are compared withthe non functional properties requested by users. NFPs cover Quality of Service (QoS) aspects, but also other business-related properties, such as pricing, and properties not directly related to the service functionalities. the fact that users and providers can express their NFPs in very flexible ways makes the management of NFP a very complex task. the Policy Centered Meta-model (PCM) is a semantic-oriented model for sophisticated NFP descriptions that can be exploited to support Web service evaluation. In this paper, we propose a novel approach based on Hierarchical Constraint Logic programming to handle PCM-based NFP descriptions along the Web service evaluation phase.
this paper proposes an efficiently robot trajectory programming system that enables operators to program a robot conveniently. Based on VR tracking devices, a pen-shaped teaching tool is designed to track its position...
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ISBN:
(数字)9781665403870
ISBN:
(纸本)9781665403870
this paper proposes an efficiently robot trajectory programming system that enables operators to program a robot conveniently. Based on VR tracking devices, a pen-shaped teaching tool is designed to track its position and orientation for demonstration, so the system could reach the advantages of low cost and high precision. A valid experiment is set by adapting UR5 system to assess the efficiency of the proposed system, the maximum deviation between real and demonstration trajectory is 1.13 mm. As proved by the experiments, the proposed robot trajectory programming approach is more efficient than UR kinesthetic teaching system.
Many tasks that end users want to accomplish with a computer program are fundamentally data-flow transformations, and both visual and textual programming systems have been created to fill this need, but these are ofte...
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ISBN:
(纸本)9798400707551
Many tasks that end users want to accomplish with a computer program are fundamentally data-flow transformations, and both visual and textual programming systems have been created to fill this need, but these are often inflexible, unapproachable, or cumbersome, satisfying a niche at one stage of the process but limited at others. An approach that suits one part of the program, or one time in its development, may be confounding at another, but the user is stuck with boththe constructive and obstructive aspects of a tool's chosen paradigm throughout. Much of this difficulty can be removed by enabling the cohabitation of multiple editing paradigms in a single program for the user to choose how to tackle the current point in the process - and change their mind. We present a new data-flow programming environment where the same program, or parts of the same program, can be viewed and edited as linear text, a node-and-wire graph representation, or a two-dimensional grid layout, and the correspondence between these representations is made clear through a continuous visual identity for each part of the program.
In this paper, evolutionary programming algorithm through the mutation operator and the selection strategy to find weights and threshold value. through this way, we can improve the training efficiency, speed up the co...
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ISBN:
(纸本)9781509030255
In this paper, evolutionary programming algorithm through the mutation operator and the selection strategy to find weights and threshold value. through this way, we can improve the training efficiency, speed up the convergence rate, increase the irregularity of the weights and threshold value, avoid BP neural network training into locally optimal solution. In this paper, the evolutionary programming algorithm optimization BP neural network is applied to the traffic signal light control, according to the historical traffic flow data of a crossroad to s traffic flow data, and then through the predicted traffic flow data to re-adjust the traffic signal light frequency, to improve traffic congestion and other traffic problems. the experimental results show that evolutionary programming algorithm optimization BP neural network has a good effect on traffic signal light optimization.
Although linear programming problems can be solved in polynomial time by the ellipsoid method and interior-point algorithms, there still remains a long-standing open problem of devising a strongly polynomial algorithm...
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Although linear programming problems can be solved in polynomial time by the ellipsoid method and interior-point algorithms, there still remains a long-standing open problem of devising a strongly polynomial algorithm for linear programming (or of disproving the existence of such an algorithm). the present work is motivated by an attempt toward solving this problem. Linear programming problems can be formulated in terms of a zonotope, a kind of greedy polyhedron, on which linear optimization is made easily. We propose a method, called the LP-Newton method, for linear programmingthat is based on the zonotope formulation and the minimum-norm-point algorithm of Philip Wolfe. the LP-Newton method is a finite algorithm even for real-number input data with exact arithmetic computations. We show some preliminary computational results to examine the behavior of the LP-Newton method.
In this paper, we propose a bi-objective programming model to select the optimal route for moving a consignment of goods between the anchorage area at the Gulf of thailand to factories throughout thailand using a mult...
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ISBN:
(纸本)9781728167855
In this paper, we propose a bi-objective programming model to select the optimal route for moving a consignment of goods between the anchorage area at the Gulf of thailand to factories throughout thailand using a multimodal transportation network and joint consideration of transportation mode selection. the bi-objective programming model is constructed with features based on two objective functions - minimizing transportation costs and minimizing CO2 emissions, subject to transportation jobs that should be completed before their respective due dates. the solutions are obtained by the epsilon-constraint method, after which a Pareto frontier will be plotted. the decision makers can make a decision tradeoff between the two objectives from that plot.
the best ecological and environmental benefits can be obtained with limited economic inputs by system optimization of typical ecological problems. In this paper, two typical ecological problems including resource allo...
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ISBN:
(纸本)9780956715753
the best ecological and environmental benefits can be obtained with limited economic inputs by system optimization of typical ecological problems. In this paper, two typical ecological problems including resource allocation problem and pesticide management problem were analyzed, the mathematical models which based on dynamic programming and nonlinear programming were built and then were solved by LINGO 8.0 software. the results showed that LINGO software can solve the ecological optimization problems effectively, and the optimization results can be applied in the practical cases with favorable economic and environmental effects. this study can provide a reference for relevant decision-making departments when optimizing similar ecological problems.
Trains have a constrained schedule and are not available on demand. If a malfunction is detected, the moment and the place to fix the problem while keeping the network at its optimal use may not be easy to find, given...
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ISBN:
(纸本)9783031686337;9783031686344
Trains have a constrained schedule and are not available on demand. If a malfunction is detected, the moment and the place to fix the problem while keeping the network at its optimal use may not be easy to find, given that there will be multiple problems throughout the network. Deciding of the maintenance requests the solution of a scheduling problem. the goal of this research is to provide an efficient solution to this problem. To achieve this aim, we develop a mixed integer linear programming model, a constraint programming model and multiple heuristic algorithms such as a Local Branching (LB) over the mixed integer linear programming model and a Variable Partitioning Local Search (VPLS) over the constraint programming model.
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