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The method of clustering based on the bee colony optimization is proposed. The main advantage of the developed method is the estimation of the number of cluster in a given dataset where no previous knowledge of the number of clusters is available.
Current electronic systems implement reliability using only a few layers of the system stack, which simplifies the design of other layers but is becoming increasingly expensive over time. In contrast, cross-layer resilient systems, which distribute the responsibility for tolerating errors, device variation, and aging across the system stack, have the potential to provide the resilience required to...
The X-GOLD SDR 2x family of programmable baseband processors is designed for hosting multiple standards of mobile communication, connectivity, and reception of broadcast ser(R) vices. Processors from the X-GOLDw SDR 2x family obtain the necessary flexibility from a set of programmable SIMD (single-instruction, multiple-data) processor cores, which exchange data through shared on-chip memories. The...
In this paper, we address the Software-MCU (Micro Controller Unit) assignment problem in car electronic system design. This is a difficult optimization problem due to complex characteristics of the car electronic system; further, conflicting constraints and designer preferences make the problem more difficult. In order to solve this combinatorial optimization problem, we propose a method which is...
We propose a parallel MAX-MIN Ant System (MMAS) algorithm that is suitable for an implementation on graphics processing units (GPUs). Multi ant colonies with respective parameter settings are whole offloaded to the GPU in parallel. We have implemented this GPU-based MMAS on the GPU with compute unified device architecture (CUDA). Some performance optimization means for kernel program of GPU are introduced...
For better predicting and optimizing the blasting parameters in underground deep-hole mining, 16 groups of deep-hole blasting parameters are collected and collated, combining rough set and artificial neuron network theory, an optimized model for basting parameters in underground mines' long-hole caving based on rough set and artificial neural network is set up. Adopting the rough set software for...
Fault Tree Analysis (FTA) is a hotspot both in academic field and in modern industry. The FTA method is a means that evaluates the system reliability and safeties, using to predict and examine the faults, analyzing the weak link of system, guiding to circulate and maintain, and the optimization design of system. Along with the technical exaltation of the computer science, the computer aided technology...
The gun brings with acute vibration during its shooting, which greatly impacts gun's firing accuracy and reliability. If vibration response has been tested and analyzed when the gun shooting, gun's dynamic characteristic would be obtained which can afford important references for gun's optimization and technology improving. The paper designs the testing system for gun's shooting vibration, according...
We report on the throughput optimization of a self synchronous FPGA (SSFPGA) using benchmark circuits. We find that using a dual pipeline architecture we are able to convert synchronous designs from verilog onto our SSFPGA, and by using pipeline alignment techniques to match pipeline depth we can perform at maximum throughput. We demonstrate 0 to 56.1 times throughput improvement with our pipeline...
Wi-Max is the fourth generation of high speed broad band internet connection. With a suitable antenna it can cover L.O.S. thirty miles with 5 GHz at the speed of 70 Mbps. It will be available to the public at very low monthly subscription, thus, over riding the high cost of internet connection . The key element for Wi-Max applications is the construction of a proper beam forming antenna. In this article...
Multiple sequence alignment (MSA) is one of the essential operations for identifying functional and structural relations among proteins. The execution of an MSA algorithm requires high-performance platforms. This paper presents a hardware system that speeds up the popular MSA software ClustalW. The proposed design performs the computation of the most time consuming step of the ClustalW. Test results...
Software reuse is only effective if it is easier to locate and appropriately modify a reusable component than to write it from scratch. It is the use of existing software knowledge or artifacts also known as software components to build new software. There are two main problems in software reuse. First, classifying software modules in a component library is a major problem in software reuse. Second,...
Due to fast growth of video camera market, referring videos in sports training has been used as one of the most effective methods for improving their performance because athletes or coaches can analyze their performance objectively. Adopting the advices from coaches, athletes can correct their wrong habits in their performance instantly. Although the videos from multiple cameras in multiple angles...
The present work studies numerically and experimentally the water cooling process by means of natural convection inside a closed reservoir. The cooling process is performed by Peltier or Thermoelectric effect. The purpose here is to obtain the thermal gradient inside the reservoir and to search for the best point where the coldest water can be extracted from the reservoir, which can be considered...
The functional structural plant models (FSPMs) can be defined as models that combine descriptions of metabolic (physiological) processes with a presentation of the 3D structure of a plant. They contain usually the following components 1) Presentation of the plant structure in terms of basic units, 2) Rules of morphological development and 3) Models of metabolic processes that drive the plant growth...
Software Testing is one of the indispensable parts of the software development lifecycle and structural testing is one of the most widely used testing paradigms to test various software. Structural testing relies on code path identification, which in turn leads to identification of effective paths. Aim of the current paper is to present a simple and novel algorithm with the help of an ant colony optimization,...
The keywords Green IT and Green Computing indicate a paradigm shift of computing. Development of existing and new technology should no longer proceed at the expense of environment. This is also true for automation. Nowadays, one important goal of automation is to optimize the complete work and material flow under the essential constraints of energy consumption, quality and throughput. As a matter...
Automatic composition of semantic Web services by requests is one of difficult problems in the field of Web services. In this paper we investigate Web services ontology and ant colony (AC) algorithm and propose a method of composition of semantic Web services (ACAC) that is based on ant colony algorithm. We generate a graph of input and output of semantic Web services, using this method, and then...
This paper is motivated by the need to address the innovative development of algorithms to solve combinatorial problems, generally issued from decision making. Because modeling and resolution of this kind of problems is a software engineering subject, then to find better ways of developing algorithms, solvers and metaheuristics is our interest too. Here, we fixed some concepts from knowledge management,...
jCOLIBRI is currently a reference platform in the CBR community for building CBR systems that includes facilities to design different types of CBR applications. In this paper we focus in some recently included tools that allow the improvement of performance of previously designed applications. These optimization tools mainly facilitate to adjust features on large case bases like clustering and noise...
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