In traditional trademark retrieval systems, the trademarks are first annotated with keywords that are then used for retrieval. The Vienna Classification [1] is a well-known scheme to achieve this purpose and it constitutes a hierarchical system that proceeds from the general to the particular, dividing all figurative elements into categories, divisions and sections. The STAR system developed by...

Using Particle Swarm Optimization to handle complex functions with high-dimension it has the problems of low convergence speed and sensitivity to local convergence. The convergence of particle swarm algorithm is studied, and the condition for the convergence of particle swarm algorithm is given. Results of numerical tests show the efficiency of the results. Base on the idea of specialization an...

Abstract Local search is a fundamental tool in the development of heuristic algorithms. A neighborhood operator takes current solution and returns set similar solutions, denoted as neighbors. In best improvement local search, neighboring solutions replaces each iteration. On other hand, first only explored until any improving found, which then solution. this work we propose new strategy for tha...

Software defined network is a new computer network architecture who separates controller and data layer in network devices such as switches and routers. By the emerge of software defined networks, a class of location problems, called controller placement problem, has attracted much more research attention. The task in the problem is to simultaneously find optimal number and location of controll...

Based on molecular dynamics search for laws of wearless friction accompanying steady sliding motion between mesoscopic crystal lattices, we have been developing “Phonon-Band Engineering” approaches [1] to design arti…cial materials of desired tribological characteristics for nano-electromechanical systems (NEMS) by utilizing the up-to-date nano-fabrication technology. In the present study, we r...

extensive research has been devoted to economic production quantity (epq) problem. however, little atten-tion has been paid to problems where depreciation cost and process quality cost must be considered, simulta-neously. in this paper, we consider the economic production quantity model of minimizing the annual total cost subject to depreciation cost and process quality cost, where depreciation...

A prominent theory in the neurobiology of memory processing is that episodic memory is supported by contextually gated spatial representations in the hippocampus formed by combining spatial information from medial entorhinal cortex (MEC) with non-spatial information from lateral entorhinal cortex (LEC). However, there is a growing body of evidence from lesion and single-unit recording studies i...