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In recent years, we have witnessed a growing interest in optimizing the parallel and distributed computing solutions using scaled-out hardware designs and scalable parallel programming paradigms. This interest is driven by the fact that the microchip technology is gradually reaching its physical limitations in terms of heat dissipation and power consumption. Therefore and as an extension to Moore's...
The authors have published earlier a novel technique for the supervised training of feed-forward artificial neural networks using the Harmony Search algorithm. This paper proposes a parallel and distributed implementation method to speedup the execution time to address the training of larger pattern-classification benchmarking problems. The proposed method is a hybrid technique that adopts form the...
Well-nigh of the bremsstrahlung mensurations with electron cyclotron resonance ion sources have been executed in uninterrupted functioning way conceding info exclusively on the steady-state bremsstrahlung emanation. Bremsstrahlung irradiation measuring is usually utilized many nosology method acting. At intermediate to elation laser saturations preoccupation by the definitive reverse bremsstrahlung...
By definition, software application means all the existing physical media, and is opposed to the concept of hardware, because it is intangible. These applications are held after a certain consistency, usually on a physically support, a disk drive. The software allows the solving of mathematical problems that can be described mathematically, in order to solve mathematical problems. Software is used...
Self Similarity of network traffic has been an area of significant interest in the research on performance analysis of networks. It is widely known that a number of network traffic types display Self Similar behavior and its performance characteristics are significantly different from the typical Poisson or exponentially distributed traffic characteristics. In this paper we conduct an analysis of...
Face recognition is a non-contact biometric identification that tries to verify individuals automatically based on their images. Computational time and accuracy rate are important aspects to be considered for Face Recognition systems. Huasdorff distance is a dissimilarity measurement between two point sets which has been increasingly used for face recognition. In this paper, we have proposed a modified...
Effective decision support assist greatly in many control and management processes. Many business processes may be easily formalized and simulated, allowing automated assistance in decision making. The paper describes research on current decision support systems with the self-developed system BPsim.DSS, based on multi-agent simulation of resource conversion processes, extended with additional functionality,...
Latent finger print matching is one of the freshest areas in science. The current methods of latent finger print matching are manual and reliable on human experience. Unfortunately, a system, which can perform the latent fingerprint matching automatically, does not exist. The eye tracking technology is able to record the eye movement and could provide useful information about the user search strategy...
Simulated Annealing is one of the important evolutionary algorithms which can be used in many applications especially in optimization problems. Simulated Annealing has two main phases, the first one is annealing schedule and the second is acceptance probability function. I proposed three annealing schedule methods and one acceptance probability function. The idea of adding momentum terms was used...
This paper exhibits a new structure based on a meta-policy approach using an intelligent anomaly based host based intrusion detection system, These access control decisions are decided in agreement with a meta-policy. The combination of policy and host based intrusion detection system approach depends on operating systems integrating with mandatory access control. The proposed structure controls a...
One of the most important points in context-aware computing is to build a reasonable context model. Currently, many models were not built in a common structure. It is hard to build other models depending on the existing ones. In this paper, we build a common ontology-based context model with Web Ontology Language (OWL), which provides an efficient and convenient way of ontology-building by adding...
The paper introduces two neural network techniques to compare and analyze the detection level of Alzheimer's disease in a patient. The proposed module uses a Neurological Memory test named Mini Mental Status Examination (MMSE). It is authorized to be used only by neurologist, neuropsychologist and psychiatrist for determining the cognitive level. Doctors use the score of MMSE to evaluate the cognitive...
The following topics are dealt with: intelligent systems, modelling and simulation; hybrid soft computing; operations research; bioinformatics and biomedical simulation; discrete event and real time systems; image, speech and signal processing; industry, business and management; human factors, social and economics sciences; civil, mechanical, chemical, industrial, manufacturing and control engineering;...
Electricity bill charges usually dependents on the amount of electricity usage. The increment in the electricity usage will cause the users to pay more. This situation always happens when users are not aware about their growing usage. Hence, a system is needed where it can monitor and measure the electricity usage and update users on the increasing electricity utilization. This paper will discuss...
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