Welcome to Journal of Theoretical and Applied Information Technology

Author:

Source:

Abstract

This survey deals with the problems of job shopping samples program (JSSP) in local search. The Ant-Miner Sample is a good approach for mining data .It is the objective to make minimum spanning. In this paper both deterministic and random searching is proposed. The comparison between computational and other methods on the standards of problem instances was presented. A probability of priority samples is also implemented for initial distribution of ANTS. It also improves quality, effectiveness and parallel paradigm of solutions which can run on many instances in different sizes. This algorithm proposes different sets of jobs and machine where each machine can handle utmost one job at a time. Every job constitutes a chain of operations and should be processed during an un-interrupted time of a given machine .It proposes to find a schedule that is : an allocation of operations in the form of samples to the machines in minimum length because it is difficult to solve to its optimality[1]. The experimental results directs that the sampling of Ant-Miner algorithm can efficiently solve the problems of mining the data in JSSP environment

Author:

Source:

Abstract

Variable structure control (VSC) is a controlling method in which the structure of feedback is altered to get desired output for DC motor. The position of DC motor is controlled using VSC. However, the VSC technique has not had wide spread acceptance due to some limitations in form of chattering which is ever-existing in any VSC system. The chattering problem is much more serious in low moment of inertia systems because of finite amount of discontinuous surface. The DC motors have not only low inertia but also small time constants. The chattering is main problem for such type motor. The concept of switching lines is used to reduce chattering. In this paper the concept of three lines switching technique (TLST) is employed to eliminate the chattering in VSC controlled DC motor. In this technique, switching lines are used to delay the reversal of direction of the representative point (RP). The biggest advantage of this technique is that it results in invariant systems and makes the system total robust.

Author:

Source:

Abstract

Chemical process control requires intelligent monitoring due to the dynamic nature of the chemical reactions and the non-linear functional relationship between the input and output variables involved. CSTR
is one of the major processing unit in many chemical, pharmaceutical and petroleum industries as well as in environmental and waste management engineering.

In spite of continuing advances in optimal solution techniques for optimization and control problems, many of such problems remain too complex to be solved by the known techniques. Thus, a heuristic approach is often a viable alternative. Neural Network models offer the most unified approach to building truly intelligent systems, which can provide good optimal solution for many applications.

In this work we propose a hybrid (KohKal) neural network algorithm which is being used to model and solve a continuous stirred tank mixer/reactor (CSTM/R) problem which is non-linear and stochastic in nature. This hybrid algorithm is robust and converges fast without been trapped into a local minimal, as is the case with the popular back-propagation neural network. We also establish the characteristic equations governing the dynamics of the Continuous Stirred Tank Mixer/Reactor. A controller model was formulated and tested and found to be consistently stable at varying conditions.

The volume of the mixture in the tank was maintained as require to give enough hold up time to allow for adequate mixture of the contents in spite of the variations in the inlet streams. The calculated results agreed with the output of our neural network.

Author:

Source:

Abstract

Invariance is an important aspect in image object recognition. Invariance of the output with respect to certain transformations of the input is a typical example of a priori knowledge. The concept of tangent vectors, which compactly represent the essence of these transformation invariances, and two classes of algorithms “tangent distance” and “tangent propagations”, make use of these invariances to improve performance. Results obtained with an extended tangent distance incorporated in a kernel density based Bayesian classifier to compensate for affine image variations are presented in the paper. An image distortion model for local variations is introduced and its relationship to tangent distance is considered. The classification algorithms are evaluated on databases of different domains. An excellent result of 2.2% error rate on the original USPS handwritten digits recognition task is obtained. On a database of radiographs from daily routine, best results are obtained by combining tangent distance and the distortion model.

Author:

Source:

Abstract

This work presents the design of an expert system that aims to provide the patient with background for suitable diagnosis of some of the eye diseases. The eye has always been viewed as a tunnel to the inner workings of the body. There are many disease states that may produce symptoms from the eye. CLIPS language is used as a tool for designing our expert system. An initial evaluation of the expert system was carried out and a positive feedback was received from the users.

Author:

Source:

Abstract

 High bandwidth environment is useful for sending large volumes of data within short period of time. As there is a growing demand for high bandwidth networks, data transfer must take place without any congestion. Hence attempts have been made to find a suitable window adjustment procedure for congestion avoidance. In TCP, since window size is usually increased by 1 MSS/RTT and halved upon packet losses in any network, it is not suitable for high speed network. In this paper a study is made on window adjustment procedure for high bandwidth networks using XCP protocol. The window adjustment procedure is based on the queue and admitted rate .This proposed idea will be useful for high bandwidth environment for congestion avoidance. Performance of bandwidth utilization and throughput is presented.

Author:

Source:

Abstract

In this paper, selection of the state feedback gains by Particle Swarm Optimization (PSO) technique is presented contrary to the selection of the feedback gains reported in literature. The proposed design has been applied to the inverter fed induction motor drive system. The system performance has been simulated and compared with some previous methods such as Variable Structure Controller (VSC) method, and Genetic Algorithm (GA) approach. Simulation results show that the dynamic system performance has been improved much with PSO compared to other two methods such as VSC and GA . The results show the effectiveness of the proposed technique.

Author:

Source:

Abstract

This paper concentrates on the difficulty of the value of the set of revealed association rules. This problem is important since real-life databases capitulate most of the time several thousands of rules with high confidence and propose new algorithms based on closed sets to reduce the mining to bases for exact and estimated rules. Once frequent closed itemsets which constitute a generating set for both frequent itemsets and association rules have been discovered. Proposed algorithms for efficiently generating bases for association rules. A basis is a set of non-redundant rules from which all association rules can be derived, thus it captures all useful information. Moreover, its size is significantly reduced compared with the set of all possible rules because redundant and thus useless rules are discarded. New approach has a twofold advantage on one hand, the user is provided with a smaller set of resulting rules, easier to handle, and information of improved quality. On the other hand, execution times are reduced compared with the discovering of all association rules. Chess dataset used for experiments.

Author:

Source:

Abstract

Artificial neural networks (ANNs) are a new type of information processing system based on modeling the neural system of human brain. The potential of using neural network in prediction of wear loss quantities of A390 aluminium alloy has been studied in the present work. The material is subjected to dry sliding wear test using pin-on-disc apparatus at room conditions. Effects of load, sliding speed and time have been investigated by using artificial neural networks. The experimental results were trained in an ANNs program and the results were compared with experimental values. It is observed that the experimental results coincided with ANNs results.

Author:

Source:

Abstract

The tremendous growth of wireless networks demands the need to meet different multimedia (such as voice, audio, video, data, etc) applications available over the network. This application demand and allocation could lead to congestion if the network has to maintain such high resources for the quality of service (QoS) requirements of the applications. In this paper, a new admission control policy for wireless mobile multimedia networks is being proposed based on the use of dynamic guard channel allocation scheme. In addition, a buffer will be introduced to store handoff calls if there are no channel available instead of dropping (rejecting) them. The performance analysis of the new scheme will be carried out, especially, the effect of the dynamic threshold and buffer size on call blocking probabilities.

Author:

Source:

Abstract

Distributed generators are very much beneficial in reducing the losses effectively compared to other methods of loss reduction .In this paper optimal size of DG unit operated at optimal power factor is dealt. DG unit placement using fuzzy logic and sizing of DG at any power factor is calculated using analytical method . Voltage and power loss reduction indices of distribution system nodes are modeled by fuzzy membership functions. Fuzzy inference system containing a set of rules is used to determine the DG unit placement. DG units are placed at buses with the highest suitability index. Simulation results show that optimal DG unit placement and sizing at 0.8 power factor is very efficient. Single DG unit of optimum size operated at 0.8 power factor is sufficient in reducing losses and improving voltage regulation effectively within the specified voltage constraints.

Author:

Source:

Abstract

This paper describes the design and development of a narrow band linear polarization microstrip antenna array used in UHF Wind Profiling Radar. Wind profiling radars operating in Doppler beam swinging mode needs to have large antenna array in order to have a narrow beam for wind direction accuracy. In the present work, the antenna was designed for an operating frequency of 1.28 GHz and was built as an array of 1X16 probe-fed microstrip square patches. The design process starts with the theoretical design of the antenna. Finally, the results of the implementation of the designs are presented using IE3D software.

Author:

Source:

Abstract

Next generation wireless network is envisioned as a convergence of different wireless access technologies providing the user enhanced connection any where any time to improve the systems resource utilization. It is likely that WLAN/HIPERLAN will become an important complementary technology to cellular networks and typically used to provide hotspot coverage where there is a high density of users. In such converged systems, co-existence of heterogeneous access technologies with largely different characteristics like data rate for cellular network (2 Mbps), WLAN 802.11b (11 Mbps) and HIPERLAN (54 Mbps) results in handoff asymmetry that differs from the traditional intra-network handoff (horizontal handoff). The seamless and efficient handoff between different access technologies (vertical handoff) is essential and remains a challenging problem. In this paper, it is devised to evaluate the performance of vertical handover in terms of received signal strength measurement with suitable propagation model in heterogeneous network for hotspot communication and it is validated by simulations.

Author:

Source:

Abstract

A novel chaotic spreading sequences for multi-carrier direct sequence code division multiple access (MC-DS/CDMA) system is proposed. With this spreading sequence in the MC-DS/CDMA system, the effect of multiple access interference can be mitigated by choosing the spreading sequences with appropriate cross-correlation properties. The performance of the system is assayed in the multiuser environment by means of simulation. The simulation result shows that the proposed chaotic code spreading approach achieves a significant improvement in the system utility of about nine percent and it is useful in combating multiple access interference (MAI). The studies reveal that the proposed system significantly outperforms the Walsh Hadamard code spreading in MC-DS/CDMA system.

Author:

Source:

Abstract

In recent years, mathematical content has started appearing on the web. As with other types of information, search capabilities must be provided to users to retrieve their required information. Conventional text-based search engines fall short of providing math-aware fine grain search. Several efforts have been made in the recent past to develop web-accessible mathematical and scientific search systems. We identify major issues in developing math search systems and present techniques for addressing them. The issues involved in developing such a system include query format, representation of mathematical content, as well as their comparison for matching purposes. The results generated by the formula search system must strive to maximize the standard measures of precision, recall. It should also sort the query hits according to some domain specific measure and provide the hits to the user as a ranked list.
This paper presents our efforts in developing a mathematical search engine for mathematical content retrieval. We present the Math GO! System to search and present the mathematical information encoded in mathematical expressions. Our approach uses the concept of template based math block identification, vector representation, searching from mathematical topic based clusters and relevance ranking. The search system interacts with the user through a simple query mechanism and provides ranked listing of results. The system is comprised of a modular architecture to organize, query, compare and presentation of math results to the user. We compare our approach with existing approaches and present the results. We have achieved encouraging results with the system.