Grasp planning for multi-fingered hands is computationally expensive due to the joint-contact coupling, surface nonlinearities and high dimensionality, thus is generally not affordable for real-time implementations. Traditional planning methods by optimization, sampling or learning work well in planning for parallel grippers but remain challenging for multifingered hands. This paper proposes a ...

Accomplishment of optimization technique on Object Oriented design component is a very challenging task. The prior model DyRM has introduced a technique to perform modeling of design reusability under three real-time constraints. The proposed study extends the DyRM model by incorporating optimization using multilayered perception techniques in neural network. The system takes the similar input ...

A multi-stage computation is one involving more than one stage of execution. MetaML is a language for programming multi-stage computations. Previous studies presented big-step semantics, categorical semantics, and sound type systems for MetaML. In this paper, we report on a conuent and sound reduction semantics for untyped call-by name (CBN) MetaML. The reduction semantics can be used to formal...

High-performance event filtering reduces the large volume of event traffic processed by dynamic multi-point applications in high-speed networks. We are developing an object-oriented (OO) framework for event filtering based on CORBA, which is an emerging standard for open distributed object computing. The OO framework supports the automated generation, optimization, and configuration of event fi...

In this paper we consider a generalized class of location-allocation problems, in which N new facilities are to be located in the plane with respect to M objects. We assume each object to be associated with a non-negative convex cost function, specifying the expenses for serving the object from any location in the plane. For the resulting multi-dimensional mixed-integer optimization problem two...

Although ‘tracking-by-detection’ is a popular approach when reliable object detectors are available, missed detections remain a difficult hurdle to overcome. We present a hybrid stochastic/deterministic optimization scheme that uses RJMCMC to perform stochastic search over the space of detection configurations, interleaved with deterministic computation of the optimal multi-frame data associati...

Multi-objective open-shop scheduling is definitely significant in practical. However, the research focused on multi-objective open-shop scheduling was relatively scarce. This article proposed a particle swarm optimization to address open-shop scheduling problems with multiple objectives. Originally, particle swarm optimization was invented to treat continuous optimization problems. In this pape...

If computational tractability were not an issue, multi-object estimation should integrate all measurements from multiple sensors across scans. In this article, we propose efficient numerical solution to the multi-scan multi-sensor problem by computing (labeled) posterior density. Minimizing <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"...

this paper proposes per unit coding for combined economic emission load dispatch problem. in the proposed coding, it is possible to apply the percent effects of elements in any number and with high accuracy in objective function. in the proposed per unit coding, each function is transformed into per unit form based on its own maximum value and has a value from 0 to 1. in this paper, particle sw...