Abstract: Publication year: 2011Source:Advances in Computing, Volume 1, Number 1 B. Janet,A. V. ReddyThis paper proposes a novel cube index for text and image information mining. Based on the study of text and image index used for information retrieval, this paper proposes that information mining on unstructured text and image data is possible from the index structures that exist already. The cube index merges the text and image index proposed earlier, into a single structure. This mimics the brain in its capacity to view the text and image data simultaneously and retrieve them together, according to the query need of the user. It will help in the indexing, retrieval and mining of both text and image data present in the document database. The online analytical processing (OLAP) over the cube index and concept hierarchy for the document and image are proposed. The operations that can be performed on the data cube are applied to the cube index to help with the retrieval and mining. The study gives a good guarantee that the model can be used for database analysis of text and image, based on the results from the retrieval experiment PubDate: 10/17/2012 17:09:44
Abstract: Publication year: 2011Source:Advances in Computing, Volume 1, Number 1 S. Prakash,D. P. VidyarthiComputational grid is an aggregation of geographically distributed network of computing nodes specially designed for compute intensive applications. The diversity of computational grid helps in resource utilization in order to support execution of all types of jobs; fine grain as well as coarse grain. It is observed that, over the period of time in the course of job execution, grid becomes highly imbalance resulting in performance degradation. It warrants balancing the load amongst the grid nodes. In absence of centralized information in a system such as grid, load balancing becomes a complex problem. Genetic Algorithm, a search procedure based on evolutionary computation, is able to solve a class of complex optimization problems. A model based on genetic algorithm is proposed, in this work, to achieve better load balancing in computational grid. To study the performance of the proposed model, experiments have been conducted by simulating the model. Experimental results reveal the effectiveness of the proposed model. PubDate: 10/17/2012 17:09:44
Abstract: Publication year: 2011Source:Advances in Computing, Volume 1, Number 1 Xiaodong Liang,Y. Luy,Vinita Dutt,Sunil DuttA Neural network is a machine that is designed to model the way in which the brain performs a particular task or function of interest: The network is usually implemented by using electronic components or is simulated in software on a digital computer. “A neural network is a massively parallel distributed processor made up of simple processing units which has a natural propensity for storing experiential knowledge and making it available for use. It resembles the brain in two respects:1)Knowledge is required by the network from its environment through a learning process.2)Interneuron connection strengths, known as synaptic weights, are used to store the acquired knowledge”. In this paper, we proposed a system capable of recognizing handwritten characters or symbols, Our aim is to build a system for handwritten character recognition. The system should be such that it should be able to handle transformation of scaling, translation or a combination of both. The objective is to bring out accurate results even for images with noise in them. PubDate: 10/17/2012 17:09:44
Abstract: Publication year: 2011Source:Advances in Computing, Volume 1, Number 1 Vector Krasnoproshin,Ghazi Shakah,Aleksander ValvachevThe paper dwells on how to build monitoring systems for industrial moving objects on the basis of the multi-agent approach and image recognition techniques. The problem of monitoring for diverse business applications is considered. Basic ontological models of the monitoring participants were built, an algorithm to evaluate the object states and generate proper controls was suggested. Five key processes realizing monitoring were distinguished. The architecture for corresponding program agents was suggested together with schematics of their interaction to implement the monitoring processes in the Internet environment. PubDate: 10/17/2012 17:09:44
Abstract: Publication year: 2011Source:Advances in Computing, Volume 1, Number 1 Victor Krasnoproshin,Ghazi Shakah,Aleksandr ValvachevThe paper describes the use of organization and graph theory for constructing model that management distributed nature and artificial beings. It’s proposed a virtual model of the organization, focused on the implementation of monitoring, regardless of the size and remoteness of the objects of observation from the center. The algorithm of its construction, based on the representation of the model in the form of attributed tree, is described. The resulting virtual model can be considered as a basis for solving a number of applications for monitoring, including decision-making, knowledge acquisition, visualization of large structures, the construction of dynamic digital maps, integration with other systems, etc. PubDate: 10/17/2012 17:09:44
Abstract: Publication year: 2011Source:Advances in Computing, Volume 1, Number 1 Majid Vafaei JahanOne of the techniques to resolve the problem more quickly is using the multi-scale spatial dimension reduction. In classical theory, system analysis based on multi-scaling is extremely difficult, because it is dependent on the behavior of every component analysis and understanding the relationship between them. The new achievements in this field show that most systems cannot be scaled at any condition. Regardless to this property of the system, Kadanoff's theory shows a necessary condition of scaling. Based on this theory, the best condition of scaling occurs in the phase transition condition at the critical temperatures of material. In this condition, upper-scale system behavior is approximately similar to the main-scale system behavior. This article is benefited from this theory and is presented the new algorithm that is named Simulated Annealing Multi-Scaling (SAMS). This algorithm is based on the spin glass paradigm to solve the NP-complete portfolio selection problem as a case study. Due to many relationships between stocks, the problem scaling, is equivalent to loss of part of the data, hence the possibility to achieve the ground state decline so much. By using this theory, it is shown that the best time to change the scale of the problem with minimum error occurs during its phase transition. Tests on five major stock exchange data show, this algorithm, in addition to confirming Kadanoff's theory in application, has more convergence speed than traditional methods such as SA and also, provides the possibility of using parallel processing in optimization problems. PubDate: 10/17/2012 17:09:44
Abstract: Publication year: 2011Source:Advances in Computing, Volume 1, Number 1 Faouzi Benzarti,Hamid AmiriImage denoising is an important pre-processing step for many image analysis and computer vision system. It refers to the task of recovering a good estimate of the true image from a degraded observation without altering and changing useful structure in the image such as discontinuities and edges. In this paper, we propose a new approach for image denoising based on the combination of two non linear diffusion tensors. One allows diffusion along the orientation of greatest coherence while the other allows diffusion along orthogonal directions. The idea is to track perfectly the local geometry of the degraded image and applying anisotropic diffusion mainly along the preferred structure direction. To illustrate the effective performance of our method, we present some experimental results on a test and real photographic color images. PubDate: 10/17/2012 17:09:44
Abstract: Publication year: 2011Source:Advances in Computing, Volume 1, Number 1 Deepanwita DasThis piece of work studies the partitioning problem on independently operating swarm of autonomous mobile robots and devises algorithms for unbalanced partitioning in a distributed computing environment. The robots considered here are all identical and are very simple and weak. There is no central control over the robots and the robots do not communicate among themselves. Each robot executes the same algorithm based on their local information. This paper frames the algorithms for unbalanced partitioning by sorting the robots based on their ranking and then allocating them in different groups based on their ranks, such that N robots are divided into K unbalanced groups of unequal robots in each group. This paper also presents the performance based analysis of the un-balanced algorithm U_PART over the balanced algorithm and examines their effects via different examples through 50 separate test cases. It also tries to bring out the shortcomings of the proposed U_PART algorithm and proposes another alternative approach towards un-balanced partitioning to overcome the limitation of the U_PART algorithm. PubDate: 10/17/2012 17:09:44
Abstract: Publication year: 2011Source:Advances in Computing, Volume 1, Number 1 Mohd. Hudzari RazaliThis paper is to introduce the novel method of procedure and analysis in study the relationship of the mesocarp oil content with the colour skin of oil palm fruit with respect to it maturity. The Nikon digital camera and the Keyence machine vision were used to capture the FFB images with two different settings of natural environment and direct sunlight. The species of oil palm tree used for the experiments were Elaeis Oleifera and Elaeis Guineensis Jacq. The images from the Nikon digital camera were analysed for optical properties of Red, Green, Blue (RGB) and then convert to Hue value using developed graphical user interface (GUI). The Hue values will then be compared to the value obtained from Keyence machine vision. The images of oil palm FFB in plantation were captured with setting cameras parameter namely shutterspeed which set to 0.125 seconds, image sensor’s sensitivity (ISO) was set to Normal and white balance were calibrated using the standard white calibration CR-A74. The lighting intensity under oil palm canopy was simultaneously recorded and monitored using Extech Light Meter Datalogger. Using Analysis of Variance (ANOVA), the ratio of test statistic of F with F critical for experiments under natural environment of oil palm plantation indicated the best differences of the hue optical properties among different maturity level of unripe, ripe and overripe FFB. Using the SAS programming for statistical analysis, the Hue and Red color values were found had significant effect to distinguish the maturity level (fm) of FFB with Pr> F are showed less than 0.01. The Green and Blue color values were not significant effect to differentiate the FFB maturity level which indicated the value of Pr> F showed 0.0243 and 0.9938 respectively. The Hue and Blue color values were not interaction with different lighting condition and the maturity level which indicated Pr> F for ml*fm showed 0.0668 and 0.1667 respectively. From the ANOVA analysis, the Hue is the best color values to distinguish different maturity levels of FFB under direct sun lighting and natural environment conditions in oil palm plantation. From this experiment analysis, the technique is used for the application of the novel oil palm fruit bunch maturity detection system. PubDate: 10/17/2012 17:09:44
Abstract: Publication year: 2011Source:Advances in Computing, Volume 1, Number 1 Naiyi Hu,Christopher J. MartinezThe workloads in a modern CPU are becoming more diversified but a common aspect is beginning to form around the need for cryptographic algorithms.There are a number of different cryptographic algorithms for hashing, block ciphers and stream ciphers.Block ciphers have recently been linked to the DES and AES standards and are the most widely used algorithms.Stream ciphers have not been dominated by a single standard.The EU ECRYPT network has developed a set of stream cipher as part of their eSTREAM portfolio. This paper examines the eSTREAM portfolio and analysis the microarchitecture performance on the Intel Core2 Duo.Using hardware performance counters analysis is done in the areas of CPI, cache, branch prediction, and instruction-level parallelism (ILP).Our results show that the Salsa20 algorithm has the best CPI, sosemanuk is able to achieve more ILP, and branch prediction is highly accurate for HC-120, Rabbit and Salsa20. The results show the correlation between CPI with L1 cache, L2 cache, branch prediction, and ILP. PubDate: 10/17/2012 17:09:44
Abstract: Publication year: 2011Source:Advances in Computing, Volume 1, Number 1 Subhra Rani Patra,R. Jehadeesan,S. Rajeswari,Indranil Banerjee,S. A. V Satya Murty,G. Padmakumar,M. Sai BabaThis Sodium temperature estimation in Intermediate Heat Exchanger is very significant for nuclear power generation in fast breeder test reactor (FBTR). Hence accurate evaluation of sodium temperature is a major concern both in case of offline and online operation of nuclear power plant (NPP). This paper addresses the training of artificial neural network model to precisely estimate the sodium temperature of Sodium-Sodium (Na-Na) Intermediate Heat exchanger and studying its behaviour at transient conditions. Severely unbalanced flow conditions in addition to steady state condition are investigated to generate sufficient number of dataset. Based on the in house data gathered from Quadratic Upstream Interpolation for Convective Kinetics code (QUICK), a three layer neural network model is developed for training and subsequent validation. The back propagation (BP) algorithm is used for training the network. Further a model based on Radial Basis Function (RBF) neural network is developed and trained and the results are compared with standard back propagation algorithm. From the comparison studies, it is found that the network trained with RBF converges faster than BP network. Training and testing results show the successful modelling of plant dynamics of the reactor with improved accuracy. ANN can be an alternative to the conventional model as it predicts the physical parameters without much complex calculations as used in conventional model. PubDate: 10/17/2012 17:09:44
Abstract: Publication year: 2011Source:Advances in Computing, Volume 1, Number 1 A. Gandhimathi,Anu G. Nair,R. SowdhaminiStructure comparison is used to reveal the similarity between protein structures. Every method has its own strength and weakness and the assessment parameters need to be appropriate to the original question on performance of the method. Here, we have assessed three multiple structure-based sequence alignment programs and compared their results. The results suggest that superfamily members which have low sequence identity ( PubDate: 10/17/2012 17:09:44
Abstract: Publication year: 2011Source:Advances in Computing, Volume 1, Number 1 Sharvari C. Tamane,Ratnadeep R. DeshmukhHiding a text message, audio data, 2D image or 3D model into some another image or model is called Watermarking. This paper presents a new idea to watermark a 3D surface model into another 3D surface model based on wavelets, Multi-Resolution Representation (MRR) and ANFIS: Adaptive Neuro Fuzzy Inference System. ANFIS model is trained by using a hybrid method which will then produce a weight factor as ANFIS output. Depending upon the ANFIS output, system selects different locations in horizontal sub-band of the 3D model coefficient to insert the watermark into the model. The watermark is extracted from the watermarked model by using non-blind method. The system is trained and tested against various 3D models. Results show that the system is robust for similarity transformations, noise attacks, smoothing attacks, and cropping attacks. PubDate: 10/17/2012 17:09:44
Abstract: Publication year: 2011Source:Advances in Computing, Volume 1, Number 1 Yasuo Ebara,Yoshitaka ShibataIn order to support advanced remote collaborative works via WAN, sharing various visual contents between remote sites and displaying the existence of remote participants by transmission of high-quality video streaming in real scene is important. However, the display specification of large-scale screen system such as commercial projector and wide-area monitor to display these visual contents is low-resolution, and displaying of real video streaming with sufficient quality is difficult. In this paper, we have constructed tele-immersive environment with tiled display wall to realize displaying real video streaming and visual contents by high-resolution. In addition, we have tried the construction of the environment to display more high-quality video streaming on tiled display wall by transmitting multi-video streaming which captured by two cameras in remote site. By using the environment, we have conducted some experiments on tele-immersive communication on JGN2plus network which is a nationwide scale WAN. From experimental results, we have showed that these video streaming have been displayed wide area of remote site more high-quality than magnified view of video by a single small camera. Moreover, we have tried realistic display processing of ultra resolution astronomical observation image and movie data to display in full view visualization contents with ultra resolution which is difficult to display on a usual PC. As these results, we have enabled to observe the entire image of observation data all over tiled display wall. PubDate: 10/17/2012 17:09:44
Abstract: Publication year: 2011Source:Advances in Computing, Volume 1, Number 1 Tomas PotuzakThe road traffic simulation is an important tool for analysis and control of road traffic networks. In order to be able to simulate very large traffic networks in a reasonable time, it is possible to use a distributed computing environment. There, the combined power of multiple interconnected computers is utilized. During the adaptation of the simulation for the distributed environment, it is necessary to divide the traffic network into sub-networks, which are then simulated on particular nodes of the distributed computer. The load-balancing of the sub-networks and the communication between them are two key issues. In this paper, we compare the methods for traffic network division, which we developed. The methods are focused on load-balancing and consist of two steps – assigning of weights to the traffic lanes and the marking of traffic lanes, which shall be divided. For the first step, traffic simulations of different level of detail are utilized. For the second step, a modified breadth-first search algorithm or a genetic algorithm are utilized. The methods were thoroughly tested for their performance. Their description and the results of the tests are the main contributions of this paper. PubDate: 10/17/2012 17:09:44
Abstract: Publication year: 2011Source:Advances in Computing, Volume 1, Number 1 Ousmane Thiare,Papa Alioune FallIn distributed systems,cooperating process essh are both local and remoter sources. Chance is very high that multiple processes makesimultaneous requests to the same resource. If the resourcerequires mutually exclusive access (critical section - CS), then some regulation is needed to access it for ensuring synchronizedaccess of the resources thatonly one process could use the resource at a given time. This is the distributed mutual exclusion problem. The problem of coordinating the execution of critical sections by eachprocessissolved by providing mutually exclusive access to the CS. Mutual exclusion ensures that concurrent processes make a serialized access to shared resources.Quorum-based algorithms offer the advantage of protocol symmetry, spreading effort and responsibility uniformly across the distributed systems. In thispaper, we have proposed a permission baseddistributedmutual exclusion algorithmwhichis an improvement of Maekawa’s algorithm. The number of messages required by the improvisedalgorithmis in the range 3Mto 5Mper critical section invocation whereMis the number of intersection nodes1 in the system. A reduction in number of message by restricting the communication of anynodewith the intersection nodes of the quorums, withoutany modification of the basic structure of the algorithm. PubDate: 10/17/2012 17:09:44
Abstract: Publication year: 2011Source:Advances in Computing, Volume 1, Number 1 Piercarlo Maggiolini,Ramon Salvador VallesCompany competitiveness often depends on key relationships with other companies and information technologies play a critical role in supporting these relationships. Nevertheless, tools to analyse the impact of technology on businesses are in short supply. This article presents the results of research performed in companies in the mass consumer industry aimed at verifying the validity of a proposed model based on transaction costs, to be used for impact evaluation of inter-organizational systems in companies. The model, which takes into account different kinds of benefits, is applied in an exploratory way to the identification of benefits from using electronic data interchange systems as an e-commerce tool to support business to business relationships. Verification of the proposed model confirms its usefulness for the identification of benefits, mainly for those occurring at the inter-organizative level. PubDate: 10/17/2012 17:09:44
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