IJACSA Volume 1 Issue 5 - thesai.org

IJACSA Volume 1 Issue 5

Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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Paper 1: Wavelet Time-frequency Analysis of Electro-encephalogram (EEG) Processing

Abstract: This paper proposes time-frequency analysis of EEG spectrum and wavelet analysis in EEG de-noising. In this paper, the basic idea is to use the characteristics of multi-scale multi-resolution, using four different thresholds to wipe off interference and noise after decomposition of the EEG signals. By analyzing the results, understanding the effects of four different methods, it comes to a conclusion that the wavelet de-noising and soft threshold is a better conclusion.

Author 1: Zhang xizheng

Author 2: Yin ling

Author 3: Wang weixiong

Keywords: EEG, time-frequency analysis, wavelet transform, de-noising.

Paper 2: Requirements Analysis through Viewpoints Oriented Requirements Model (VORD)

Abstract: This paper describes an extension to the Viewpoints Oriented Requirements Definition (VORD) model and attempts to resolve its lack of direct support for viewpoint interaction. Supporting the viewpoint interaction provides a useful tool for analyzing requirements changes and automating systems. It can also be used to indicate when multiple requirements are specified as a single requirement. The extension is demonstrated with the bank auto-teller system that was part of the original VORD proposal.

Author 1: Ahmed M Salem

Keywords: Software Requirements; Requirements Modeling; Functional Requirements

Paper 3: Model for Enhancing Requirements Traceability and Analysis

Abstract: Software quality has been a challenge since the inception of computer software. Software requirements gathering, analysis, and specification; are viewed by many as the principle cause of many of the software complex problems. Requirements traceability is one of the most important and challenging tasks in ensuring clear and concise requirements. Requirements need to be specified and traced throughout the software life cycle in order to produce quality requirements. This paper describes a preliminary model to be used by software engineers to trace and verify requirements at the initial phase. This model is designed to be adaptable to requirement changes and to assess its impact.

Author 1: Ahmed M Salem

Keywords: Requirements Traceability; Software Faults; Software Quality.

Paper 4: The result oriented process for students based on distributed datamining

Abstract: The student result oriented learning process evaluation system is an essential tool and approach for monitoring and controlling the quality of learning process. From the perspective of data analysis, this paper conducts a research on student result oriented learning process evaluation system based on distributed data mining and decision tree algorithm. Data mining technology has emerged as a means for identifying patterns and trends from large quantities of data. It is aimed at putting forward a rule-discovery approach suitable for the student learning result evaluation and applying it into practice so as to improve learning evaluation of communication skills and finally better serve learning practicing.

Author 1: Pallamreddy Venkatasubbareddy

Author 2: Vuda Sreenivasarao

Keywords: Learning result evaluation system; distributed data mining; decision tree.

Paper 5: An New Filtering Methods in the Wavelet Domain for Bowel Sounds

Abstract: Bowel sounds signal (BS) is one of the important human physiological signals, analysis of the BS signal can then study gastrointestinal physiology and implement direct and effective diagnosis of gastrointestinal disorders. Use different threshold denoising methods denoising the original bowel sounds, simulated in the environment of MATLAB, then compared the denoising results and analyzed the advantages and disadvantages of those threshold denoising methods.

Author 1: Zhang xizheng

Author 2: Yin ling

Author 3: Wang weixiong

Keywords: bowel sounds; de-noising; wavelet transform; threshold

Paper 6: 2- Input AND Gate For Fast Gating and Switching Based On XGM Properties of InGaAsP Semiconductor Optical Amplifier

Abstract: We report on an all-optical AND-gate using simultaneous Four-Wave Mixing (FWM) and Cross-Gain Modulation (XGM) in a semiconductor optical amplifier (SOA). The operation of the proposed AND gate is simulated and the results demonstrate its effectiveness. This AND gate could provide a new possibility for all-optical computing and all-optical routing in future all-optical networks. In an AND ( AB ) gate, Boolean is firstly obtained by using signal B as a pump beam and clock signal as a probe beam in SOA-1. By passing signal A as a probe beam and as a pump beam through SOA-2, Boolean AB is acquired. Proposed optical logic unit is based on coupled nonlinear equations describing XGM and FWM effects. These equations are first solved to generate the pump, probe and conjugate pulses in a SOA. The pulse behavior are analyzed and applied to realize behavior of all-optical AND gate and its function is verified with the help of waveform and analytical assumption.

Author 1: Vikrant k Srivastava

Author 2: Devendra Chack

Author 3: Vishnu Priye

Keywords: Optical Logic Gates, Semiconductor Optical Amplifier, SOA, Four Wave Mixing, Cross Gain Modulationp>

Paper 7: Analysis and Enhancement of BWR Mechanism in MAC 802.16 for WIMAX Networks

Abstract: WiMAX [Worldwide Interoperability for Microwave Access] is the latest contender as a last mile solution for providing broadband wireless Internet access and is an IEEE 802.16 standard. In IEEE 802.16 MAC protocol, Bandwidth Request (BWR) is the mechanism by which the Subscriber Station (SS) communicates its need for uplink bandwidth allocation to the Base Station (BS). The performance of the system is affected by the collisions of BWR packets in uplink transmission, that have the direct impact on the size of the contention period in uplink sub frame, uplink access delay and uplink throughput. This paper mainly deals with Performance Analysis and Improvement of Uplink Throughput in MAC 802.16 by the Application of a New Mechanism of Circularity. The implementation incorporates a generic simulation of the contention resolution mechanism at the BS. An analysis of the total uplink access delay and also uplink throughput is performed. A new paradigm of circularity is employed by selectively dropping appropriate control packets in order to obviate the bandwidth request collisions, which yields the minimum access delay and thereby effective utilization of available bandwidth towards the uplink throughput. This new paradigm improves contention resolution among the bandwidth request packets and thereby reduces the delay and increases the throughput regardless of the density and topological spread of subscriber stations handled by the BS in the network.

Author 1: R Bhakthavathsalam

Author 2: R. ShashiKumar

Author 3: V. Kiran

Author 4: Y. R. Manjunath

Keywords: WiMAX, MAC 802.16 , BWR, NS-2, Tcl

Paper 8: An Intelligent Software Workflow Process Design for Location Management on Mobile Devices

Abstract: Advances in the technologies of networking, wireless communication and trimness of computers lead to the rapid development in mobile communication infrastructure, and have drastically changed information processing on mobile devices. Users carrying portable devices can freely move around, while still connected to the network. This provides flexibility in accessing information anywhere at any time. For improving more flexibility on mobile devices, the new challenges in designing software systems for mobile networks include location and mobility management, channel allocation, power saving and security. In this paper, we are proposing intelligent software tool for software design on mobile devices to fulfill the new challenges on mobile location and mobility management. In this study, the proposed Business Process Redesign (BPR) concept aims at an extension of the capabilities of an existing, widely used process modeling tool in industry with ‘Intelligent’ capabilities to suggest favorable alternatives to an existing software workflow design for improving flexibilities on mobile devices.

Author 1: N Mallikharjuna Rao

Author 2: P.Seetharam

Keywords: Wireless system, mobile, BPR, software design, intelligent design, Fuzzy database

Paper 9: Pattern Discovery using Fuzzy FP-growth Algorithm from Gene Expression Data

Abstract: The goal of microarray experiments is to identify genes that are differentially transcribed with respect to different biological conditions of cell cultures and samples. Hence, method of data analysis needs to be carefully evaluated such as clustering, classification, prediction etc. In this paper, we have proposed an efficient frequent pattern based clustering to find the gene which forms frequent patterns showing similar phenotypes leading to specific symptoms for specific disease. In past, most of the approaches for finding frequent patterns were based on Apriori algorithm, which generates and tests candidate itemsets (gene sets) level by level. This processing causes iterative database (dataset) scans and high computational costs. Apriori algorithm also suffers from mapping the support and confidence framework to a crisp boundary. Our hybridized Fuzzy FP-growth approach not only outperforms the Apriori with respect to computational costs, but also it builds a tight tree structure to keep the membership values of fuzzy region to overcome the sharp boundary problem and it also takes care of scalability issues as the number of genes and condition increases.

Author 1: Sabita Barik

Author 2: Debahuti Mishra

Author 3: Shruti Mishra

Author 4: Sandeep Ku. Satapathy

Author 5: Amiya Ku. Rath

Author 6: Milu Acharya

Keywords: Gene Expression Data; Association Rule mining; Apriori Algorithm, Frequent Pattern Mining, FP-growth Algorithm

Paper 10: Identification and Evaluation of Functional Dependency Analysis using Rough sets for Knowledge Discovery

Abstract: The process of data acquisition gained momentum due to the efficient representation of storage/retrieving systems. Due to the commercial and application value of these stored data, Database Management has become essential for the reasons like consistency and atomicity in giving birth to DBMS. The existing database management systems cannot provide the needed information when the data is not consistent. So knowledge discovery in databases and data mining has become popular for the above reasons. The non-trivial future expansion process can be classified as Knowledge Discovery. Knowledge Discovery process can be attempted by clustering tools. One of the upcoming tools for knowledge representation and knowledge acquisition process is based on the concept of Rough Sets. This paper explores inconsistencies in the existing databases by finding the functional dependencies extracting the required information or knowledge based on rough sets. It also discusses attribute reduction through core and reducts which helps in avoiding superfluous data. Here a method is suggested to solve this problem of data inconsistency based medical domain with a analysis.

Author 1: Y V Sreevani

Author 2: Prof. T. Venkat Narayana Rao

Keywords: Roughset;knowledge base; data mining; functional dependency; core knowledge.

Paper 11: Generalized Two Axes Modeling, Order Reduction and Numerical Analysis of Squirrel Cage Induction Machine for Stability Studies

Abstract: A substantial amount of power system load is made of large number of three phase induction machine. The transient phenomena of these machines play an important role in the behavior of the overall system. Thus, modeling of induction machine is an integral part of some power system transient studies. The analysis takes a detailed form only when its modeling becomes perfect to a greater accuracy. When the stator eddy current path is taken into account, the uniform air-gap theory in phase model analysis becomes inefficient to take care of the transients. This drawback necessitates the introduction of analysis of the machine in d-q axis frame. A widely accepted induction machine model for stability studies is the fifth-order model which considers the electrical transients in both rotor and stator windings and the mechanical transients. In practice, some flux-transient can be ignored due to the quasi-stationary nature of the variables concerned. This philosophy leads to the formation of reduced order model. Model Order Reduction (MOR) encompasses a set of techniques whose goal is to generate reduced order models with lower complexity while ensuring that the I/O response and other characteristics of the original model (such as passivity) are maintained. This paper takes the above matter as a main point of research. The authors use the philosophy of the speed-build up of induction machine to find the speed versus time profile for various load conditions and supply voltage disturbances using numerical methods due to Runge- Kutta, Trapezoidal and Euler’s in Matlab platform. The established fact of lesser computation time in reduced order model has been verified and improvement in accuracy is observed.

Author 1: Sudhir kumar

Author 2: P. K. Ghosh

Author 3: S. Mukherjee

Keywords: Induction machine, Model order reduction, Stability, Transient analysis

Paper 12: Single Input Multiple Output (SIMO) Wireless Link with Turbo Coding

Abstract: Performance of a wireless link is evaluated with turbo coding in the presence of Rayleigh fading with single transmitting antenna and multiple receiving antenna. QAM modulator is considered with maximum likelihood decoding. Performance results show that there is a significant improvement in required signal to noise ratio (SNR) to achieve a given BER. It is found that the system attains a coding gain of 14.5 dB and 13 dB corresponding to two receiving antenna and four receiving antennas respectively over the corresponding uncoded system. Further, there is an improvement in SNR of 6.5 dB for four receiving antennas over two receiving antennas for the turbo coded system.

Author 1: M M Kamruzzaman

Author 2: Dr. Mir Mohammad Azad

Keywords: Diversity; multipath fading; Rayleigh fading; Turbo coding; Maximal Ratio Combining (MRC); maximum-likelihood detector; multiple antennas

Paper 13: Reliable Multicast Transport Protocol: RMTP

Abstract: This paper presents the design, implementation, and performance of a reliable multicast transport protocol (RMTP). RMTP is based on a hierarchical structure in which receivers are grouped into local regions or domains and in each domain there is a special receiver called a designated receiver (DR) which is responsible for sending acknowledgments periodically to the sender, for processing acknowledgment from receivers in its domain, and for retransmitting lost packets to the corresponding receivers. Since lost packets are recovered by local retransmissions as opposed to retransmissions from the original sender, end-to-end latency is significantly reduced, and the overall throughput is improved as well. Also, since only the DR’s send their acknowledgments to the sender, instead of all receivers sending their acknowledgments to the sender, a single acknowledgment is generated per local region, and this prevents acknowledgment implosion. Receivers in RMTP send their acknowledgments to the DR’s periodically, thereby simplifying error recovery. In addition, lost packets are recovered by selective repeat retransmissions, leading to improved throughput at the cost of minimal additional buffering at the receivers. This paper also describes the implementation of RMTP and its performance on the Internet.

Author 1: Pradip M Jawandhiya

Author 2: Sakina F.Husain

Author 3: M.R.Parate

Author 4: Dr. M. S. Ali

Author 5: Prof. J.S.Deshpande

Keywords: multicast routing, MANET, acknowledgement implosion, designated receiver

Paper 14: Modular neural network approach for short term flood forecasting a comparative study

Abstract: The artificial neural networks (ANNs) have been applied to various hydrologic problems recently. This research demonstrates static neural approach by applying Modular feedforward neural network to rainfall-runoff modeling for the upper area of Wardha River in India. The model is developed by processing online data over time using static modular neural network modeling. Methodologies and techniques for four models are presented in this paper and a comparison of the short term runoff prediction results between them is also conducted. The prediction results of the Modular feedforward neural network with model two indicate a satisfactory performance in the three hours ahead of time prediction. The conclusions also indicate that Modular feedforward neural network with model two is more versatile than other and can be considered as an alternate and practical tool for predicting short term flood flow.

Author 1: Rahul P Deshmukh

Author 2: A. A. Ghatol

Keywords: Artificial neural network, Forecasting, Rainfall, Runoff, Models.

Paper 15: suitable segmentation methodology based on pixel similarities for landmine detection in IR images

Abstract: Identification of masked objects especially in detection of landmines is always a difficult problem due to environmental inference. Here, segmentation phase is highly concentrated by performing an initial spatial segmentation to achieve a minimal number of segmented regions while preserving the homogeneity criteria of each region. This paper aims in evaluating similarities based segmentation methods to compose the partition of objects in Infra-Red images. The output is a set of non-overlapping homogenous regions that compose the pixels of the image. These extracted regions are used as the initial data structure in feature extraction process. Experimental results conclude that h-maxima transformation provides better results for landmine detection by taking the advantage of the threshold. The relative performance of different conventional methods and proposed method are evaluated and compared using the Global Consistency Error and Structural Content. It proves that h-maxima gives significant results that definitely facilitate the landmine classification system more effectively.

Author 1: Dr G Padmavathi

Author 2: Dr. P. Subashini

Author 3: Ms. M. Krishnaveni

Keywords: Segmentation, Global Consistency error, h-maxima, threshold, Landmine detection

Paper 16: Decision Tree Classification of Remotely Sensed Satellite Data using Spectral Separability Matrix

Abstract: In this paper an attempt has been made to develop a decision tree classification algorithm for remotely sensed satellite data using the separability matrix of the spectral distributions of probable classes in respective bands. The spectral distance between any two classes is calculated from the difference between the minimum spectral value of a class and maximum spectral value of its preceding class for a particular band. The decision tree is then constructed by recursively partitioning the spectral distribution in a Top-Down manner. Using the separability matrix, a threshold and a band will be chosen in order to partition the training set in an optimal manner. The classified image is compared with the image classified by using classical method Maximum Likelihood Classifier (MLC). The overall accuracy was found to be 98% using the Decision Tree method and 95% using the Maximum Likelihood method with kappa values 97% and 94 % respectively.

Author 1: M K Ghose

Author 2: Ratika Pradhan

Author 3: Sucheta Sushan Ghose

Keywords: Decision Tree Classifier (DTC), Separability Matrix, Maximum Likelihood Classifier (MLC), Stopping Criteria.

Paper 17: Texture Based Segmentation using Statistical Properties for Mammographic Images

Abstract: Segmentation is very basic and important step in computer vision and image processing. For medical images specifically accuracy is much more important than the computational complexity and thus time required by process. But as volume of data of patients goes on increasing then it becomes necessary to think about the processing time along with accuracy. Here in this paper, new algorithm is proposed for texture based segmentation using statistical properties. For that probability of each intensity value of image is calculated directly and image is formed by replacing intensity by its probability . Variance is calculated in three different ways to extract the texture features of the mammographic images. These results of proposed algorithm are compared with well known GLCM and Watershed algorithm.

Author 1: H B Kekre

Author 2: Saylee Gharge

Keywords: H.B.Kekre,Saylee Gharge

Paper 18: Enhancement of Passive MAC Spoofing Detection Techniques

Abstract: Failure of addressing all IEEE 802.11i Robust Security Networks (RSNs) vulnerabilities enforces many researchers to revise robust and reliable Wireless Intrusion Detection Techniques (WIDTs). In this paper we propose an algorithm to enhance the performance of the correlation of two WIDTs in detecting MAC spoofing Denial of Service (DoS) attacks. The two techniques are the Received Signal Strength Detection Technique (RSSDT) and Round Trip Time Detection Technique (RTTDT). Two sets of experiments were done to evaluate the proposed algorithm. Absence of any false negatives and low number of false positives in all experiments demonstrated the effectiveness of these techniques.

Author 1: Aiman Abu Samra

Author 2: Ramzi Abed

Keywords: Intrusion Detection, RSS, RTT, Denial of Service

Paper 19: framework for Marketing Libraries in the Post-Liberalized Information and Communications Technology Era

Abstract: The role of library is professional and is fast customizing to altering technological platforms. Our subscriber’s perceptions of the nature of our libraries are also altering like never before – particularly in Universities. In this dynamic environment the efficient presentation of the library is an essential survival tool. This holds true whether a library is contributing effectively to an institution’s overall management effort or, sensitively and subtly, promoting rational attitudes in the minds of its local constituency. Citations, references and annotations referred here are intended to provide background, ideas, techniques and inspiration for the novice as well as the experienced personnel. We hope you will find this paper as interesting and useful as we trust it would be, and that libraries may gain in useful collaborations and reputation from the application of information provided by resources identified here. Result oriented marketing is not on its own - some kind of substitute for a well-run service provider or service the demands of its user population, but in the 21st century even the best-run centers of learning or information service will only prosper if effort and talent are devoted to growth orientation. Almost all of us can render to this effort, and this paper can help coax the roots of marketing talent into a complete, harvestable and fragrant flower.

Author 1: Garimella Bhaskar Narasimha Rao

Keywords: Digital Libraries, University Learining, Adaptability

Paper 20: OFDM System Analysis for reduction of Inter symbol Interference Using the AWGN Channel Platform

Abstract: Orthogonal Frequency Division Multiplexing (OFDM) transmissions are emerging as important modulation technique because of its capacity of ensuring high level of robustness against any interferences. This project is mainly concerned with how well OFDM system performs in reducing the Inter Symbol Interference (ISI) when the transmission is made over an Additive White Gaussian Noise (AWGN) channel. When OFDM is considered as a low symbol rate and a long symbol duration modulation scheme, it is sensible to insert a guard interval between the OFDM symbols for the purpose of eliminating the effect of ISI with the increase of Signal to Noise Ratio (SNR).

Author 1: D M Bappy

Author 2: Ajoy Kumar Dey

Author 3: Susmita Saha

Author 4: Avijit Saha

Author 5: Shibani Ghosh

Keywords: OFDM; Inter symbol Interference; AWGN; matlab; algorithm.