SOA brought new opportunities for the long expected agility, reuse and the adaptive capability of information technology to the ever changing business requirements and environments. The purpose of this paper is to describe the implementation of Medical Insurance Claim Process Model using SOA. We adopt Service Oriented Architecture (SOA) to reduce the complexity among systems and solve data consistency problems among services. We choose n-tier and Service-Oriented Architecture (SOA) as our system environment. This model can also establish a potentially new innovative market branch for the insurance industry.

Web services, web user interface server (WebUI), interoperability, layered architecture.

The Cat Swarm Optimization (CSO) algorithm is a relatively recent addition to the family of algorithms known as Swarm Intelligence and is based on the common behavior of cats. With the claim of improved performance in finding the global best solutions, it is tested in solving the well-studied Graph Coloring Problem (GCP). The goal in GCP is to color a graph using the least number of colors possible such that no connected vertices share the same color. Aside from solving GCP, the effect of a fitness function in the efficiency of CSO is also assessed. Experiment results showed that CSO was able to solve all GCP instances. Furthermore, CSO was able to find the optimal solution for some graph types. Also it is shown that the nature of the solution found is affected by the fitness function used. These results indicate that CSO is a feasible algorithm in solving GCP.

Graph Coloring Problem, chromatic number, Cat Swarm Optimization, fitness function, Swarm Intelligence.

In this paper, we study the application of GIST SVM in disease prediction (detection of cancer). Pattern classification problems can be effectively solved by Support vector machines. Here we propose a classifier which can differentiate patients having benign and malignant cancer cells. To improve the accuracy of classification, we propose to determine the optimal size of the training set and perform feature selection. To find the optimal size of the training set, different sizes of training sets are experimented and the one with highest classification rate is selected. The optimal features are selected through their F-Scores.

Pattern classification, Gist SVM, F-Score.

Wireless Sensor Networks are used in situations where it becomes difficult to deploy and utilize networks with fixed infrastructure. Group Management within such network is an important challenge which is considered as a fundamental objective of such deployment. A good number of schemes have been proposed as a solution to this problem in the existing literature; however it is a well known fact that none of the existing schemes has fully addressed the group management issues. We have proposed a novel mechanism known as Cluster Based Group Management Scheme for Wireless Sensor Networks. Cluster Based Group Management Scheme (CBGMS) adopts an intermediate path in between the known solutions and additional novel features. It is important to mention that CBGMS not only provide a comprehensive Group Management solution but also addresses some of the known inter-related issues of Wireless Sensor Networks which is presented and explained in this paper.

New emerging trend is an especial theme. It shows the upcoming trends at intervals. By knowing the new emerging trends,the upcoming tendencies will be discovered. In our paper, we discover the new trends in an online store. We use Distributed Learning Automata to discover the relation among products. Furthermore, we conclude the similarity network and obtain the new trends according to our declared measurements.

New Emerging Trends Detection; Learning Automata; Web Mining; Similarity Network.

Applications of ACO algorithms to obtain better solutions for combinatorial optimization problems have become very popular in recent years. In ACO algorithms, group of agents repeatedly perform well defined actions and collaborate with other ants in order to accomplish the defined task. In this paper, we introduce new mechanisms for selecting the Elite ants dynamically based on simple statistical tools. We also investigate the performance of newly proposed mechanisms.

Meta-heuristic, Optimization, pheromone, Elite ants, Rank.

The optimization is the efficient translation of a higher-level language into the fastest possible machine language [1], in this project I tried to make an optimization on two programs to achieve the best performance. I applied many optimization levels such as O0, O1, O2, Os, and O3 on the programs and take the results from each level, after that I made a comparison among the results, as we will see. After that, I tried to optimize these programs manually. The process is done under LINUX environment using nodes 5 and 6.

High Performance, Optimization, Compilation Time.

The paper presents the approaches, methods and tools for assessment of main quality features of grain samples using analysis of objects color images and spectral characteristics, which are implemented in the frames of INTECHN project. Visible features like color, shape, and dimensions are extracted from the object images. Information about object color and surface texture is obtained from the object spectral characteristics. The categorization of grain sample elements in three quality groups is accomplished using two data fusion approaches. The first approach is based on the fusion of the results about object color and shape characteristics obtained using image analysis only. The second approach fuses the shape data obtained using image analysis and the color and surface texture data obtained by spectra analysis. The results obtained by the two data fusion approaches are compared.

Grain sample quality assessment, color image analysis, spectra analysis, classification, data fusion.

In the last twenty five years, the technological world has been witnessing mammoth surge of activity in robotics, both at research level as well as in terms of capturing the attention of the general public. Many of these robots have serial mechanical architecture starting from a fixed base and each link is connected through a joint to the next link in the chain. Various methods from affine algebra have been used for modeling such robots especially for solving kinematic problems. In this paper, we introduce and discuss the algebraic modeling of a planar robot with four revolute joints and one prismatic joint and introduce a new concept of operational level space of a robot.

Robot, Joint space, Configuration space, Revolute joints, Prismatic Joints.

Tracking back its origin is the early nineties; the subject of wireless sensor networks (WSNs) has seen a remarkable growth and interest in both academia and industry. WSNs are already being used to monitor large geographic areas for modeling and forecasting, environmental pollution and flooding, controlling usage of water, fertilizers, and pesticides to improve crop health and quantity. WSNs, can be considered as a special breed of wireless ad-hoc networks with reduced or no mobility. These networks combine wireless communication and minimal on-board computation facilities with sensing and monitoring of physical and environmental phenomena. Much work has been reported on different aspects of WSNs; however, much of this work focuses on a specific area. In this context, this article contributes a general survey on WSNs. We believe this work will assist researchers to develop sound introductory background knowledge and understanding of WSNs.

Wireless Sensor Networks; WSNs; Sensors; Fault Management.

Two of the biggest problems by building complex embedded systems like spacecraft are the integration of software/hardware and the management of the increasing complexity. To handle the complexity we build complex systems as a network of (more) simple independent components. In our approach we aim to manage both, software and hardware components, in the same way and to build a network of services implemented in Software and Hardware.

Building blocks, Middleware, complexity, RODOS, Real time Kernel.

This article presents the results of the assessment of high-school students’ answers that showed desire for higher education in the area of Informatics. The aim was to see high-school students’ choice considering further studies and career options, but also for highlighting the representations they have regarding future career opportunities available.

Computer scientist, career, labour market, information.

Using multimedia techniques in asserting teaching lessons, is a primary objective for the European Union, and for our country, in the perspective of developing a knowledge based society. This article presents a few benches-marks regarding the implementation of multimedia techniques within teaching activities in the Western and North-Western area of the country, and the need for training teachers in this area.

Information and Communication Technology, multimedia techniques, teaching process, computer skills.

As is known, 3D rendering puts a huge burden both on computers and artists/programmers. This task is usually slow and requires the use of computational clusters as well as the installation of expensive resources such as multi-processors/cores and optimized graphics processing units to the traditional computers to lessen this burden. Parallelizing the rendering task of complex frames and scenes can cut the total rendering time dramatically. Grid computing is one of the parallel computing paradigms that allow implementers to combine the power of networked computers into a virtual supercomputer. Desktop grids are a form of grid computing that allows enterprises to build grids out of the workstations they already have. This feature could enable enterprises to better utilize their computing resources in order to solve computationally-intensive problems in a quick and cost-effective manner. The purpose of this paper is to present how enterprises can build desktop grids in a Windows environment in order to enable semi-real time rendering for 3D models defined with POV-Ray. Algorithms, tools and technical details are presented for easy and efficient implementations.

Grid Computing, Computer Graphics, Desktop Grids, Ray Tracing and POV-Ray,.NET Framework, Alchemi, Semi-Real Time 3D Rendering.

This paper discusses the implementation details of a grid-based rendering framework for POV-Ray on desktop grids. Our goal is to present how enterprises can build desktop grids in Windows environment in order to enable semi-real time rendering for 3D models, both images and animations, defined with POV-Ray. Algorithms, code and technical details are given for easy and efficient implementations. We think this work could be useful for both researchers and developers who are interested in the grid computing technology and its applications.

Grid Computing, Computer Graphics, Desktop Grids, Ray Tracing and POV-Ray,.NET Framework, Alchemi, parallel Rendering for 3D Models.

In our modern society, where computer science implication in each domain is growing very fast, it became imperative to find ways of introducing it into the teaching process. World-wide trend is to integrate technology in order to develop teaching materials. As free dynamic mathematical software, GeoGebra represents a great opportunity for teachers, allowing them to create interactive learning environments and to visually explain the theoretical aspects included in the curricula.

GeoGebra, educational software, CAS.

The paper focuses on the improving of the processing parameters using computers and expert software. Nowadays, all over the world, the non-conventional processing techniques are used in cases where traditional techniques are too complex or too expensive. In such situations, non-conventional methods like electro-erosion, electrochemical erosion, complex electrochemical erosion (EEC) and laser erosion could be the best solution.

complex electrochemical erosion, method of least squares, polynomial functions.

In this paper we present the use and development of the pattern recognition techniques and their integration in an automatic system for assessing psychological tests. The presented theme aims at achieving pattern processing software that will facilitate a faster diagnosis of some psychological cases.

Pattern recognition, psychological tests, automatic evaluation, neural networks.

The article presents an ideal fluid dynamics equations (4), the differential equation for the velocity potential of ideal fluid motion stationary (6. 8) and analyze the movement transonic nozzle Laval, the assumption of small perturbations is deduced partial differential equation of transonic motion (13). Fluent software is applied to determine the Mach number and temperature distribution, depending on the mass flow through the nozzle, the configuration of Fig. 1., 2. In Fig. 4.a, b, c, d, e, f and 7.a, b, c, d, e, f are the Mach number distributions and temperature inside the Laval nozzle, depending on mass flow. The numerical results obtained by applying the program Fluent are given in Fig. 5, 6, 8, 9.

Fluid Mechanics, Dynamics of gas, Turbo-jet

The article presents the fundamental equations (1), (2), (3), normal shock wave theory and numerical solving, if it is considered known quantities, in upstream of the shock wave. To obtain v2, p2, ro2 in a first stage the speed is computed (9). It examines the influence of speed (v1) and pressure (p1) of downstream on shock wave parameters. For P0s=6x10E5 N/m2, T0s=500K and delta=2, 3, 4 and 5 degrees angles, the pressure variations are calculated on the Laval nozzle. Are given positioning of the shock wave in the divergent nozzle.

Fluid Mechanics, Dynamics of gas, Turbo-jet

Routing has been a challenging issue in mobile ad-hoc network. Much effort is under going to propose and develop solutions which can full-fill dynamic routing requirements of an ad-hoc network. In essence, routing protocols of mobile ad-hoc network could be divided into one of six types. Most of the proposed schemes till-to-date fall into one of the two categories i.e. tables driven and on-demand types. Tables driven protocols follow old traditional approach of maintaining routes prior to data transfer and on-demand focuses on the route establishment only when require. There is a seventh or the third type known as on-demand data deliveries which have been introduced with the development of mobile ad-hoc on-demand data delivery protocol (MAODDP). The contribution of this work is to introduce a new family of protocols for mobile ad-hoc network. In addition theory of centralization has also been presented.

MAODDP; AODV; DSR; TORA; DSDV; Routing Theory; Routing Protocols; MANET.