Volume-2 Issue-4, September 2012 – International Journal of Soft Computing and Engineering (IJSCE)

D0965082412

IJSCE Journal — Sat, 09 Oct 2021 05:44:04 +0000

The International Journal of Soft Computing and Engineering (IJSCE) has ISSN: 2231-2307 (online), an open-access, peer-reviewed, periodical bi-monthly international journal. This journal is published by Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) in January, March, May, July, September and November.The journal aims to publish high-quality peer–reviewed original articles in the area of Soft Computing and Engineering that covers Data Communication and Networking, Artificial Intelligence and Neural Networking, Image Processing and Recognition, Software Engineering and Project Management (SEPM), Computer Graphics and Multimedia (CGM), Data Mining, Cryptography and Network Security, Smart Computing and Information Processing, Internet of Things (IoT), Computation Intelligence and Analytics, Machine Learning (ML) and Knowledge Mining (KM), Operating System, Data Base Management System (DBMS), Data Structure and Algorithm (DSA), Object Oriented Analysis and Design (OOAD), and all interdisciplinary streams of Soft Computing and Engineering. #Addressing, Routing, Switching and Location Management #Broadband, Mobile, Wired, Wireless Internet #Networks: Adhoc and Sensor Networks, High Speed Networks, Mobile and #Wireless Networks #Network Architectures #Network Based Applications #Network Protocols #Network Operations & Management #Network Security Trust & Privacy #Cross Layer Design and Optimization #Internet and Web Applications #Network Measurement & Performance Analysis #Next Generation Internet & Web Architectures #Peer to Peer and Overlay Networks #QOS And Resource Management #Recent Trends & Developments in Computer Networks #Self-Organizing Networks and Networked Systems #Ubiquitous Networks #Virtual & Overlay Networks #Wireless Mesh Networks and Protocols #Wireless Multimedia Systems #Personal and Wearable Networks #Information-Centric Networking #Embedded Networks #Opportunistic Networking #Delay-Tolerant Networks #Cognitive Radio Networks #Vehicular Networks #Smart Grid Communications #Underwater Sensor Networks #Cyber-Physical Systems #Social Networks #Green Networking #Overlay and Peer-To-Peer Networks #Local-Area and Metropolitan-Area Networks #Storage-Area Networks #Routing and Transport Protocols #Big Data Networking #Cloud Computing and Networking #Software Defined Networking and Network Function Virtualization #Internet of Things #Link Technologies #Adaptive Networking Applications #Authentication, Authorization, Accounting #Security and Privacy #Cross-Layer Optimization #Multimedia and Real-Time Communication #Machine-To-Machine Communications for Smart Environments #Smart Cities #Network Traffic Characterization and Measurements #Network Management, Reliability and QoS #Performance Evaluation of Networks #Testbeds for Network Experiments #Network Coding #Optical and High-Speed Access Networks #High Performance Computing #Digital System and Logic Design #Networked-Driven Multicourse Chips #Information-Centric Networking #Opportunistic Networking #Mobile and Ubiquitous Networking #Big Data Networking #Cloud Computing and Networking #Software Defined Networking and Network Function Virtualization #Adaptive Networking Applications #Antenna and Communications Devices #Microstrip Antenna #Microwave #Radar and Satellite #Smart Antenna #MIMO Antenna #Wireless Communication #RFID Network and Applications #5G Communication #6G Communication #Neural Networks #Fuzzy Logic #Simulated Biological Evolution Algorithms (Like Genetic Algorithm) #Ant Colony Optimization(etc) #Reasoning and Evolution #Intelligence Applications #Computer Vision and Speech Understanding #Multimedia and Cognitive Informatics #Data Mining and Machine Learning Tools #Heuristic and Ai Planning Strategies and Tools #Computational Theories of Learning #Technology and Computing (Like Particle Swarm Optimization) #Intelligent System Architectures #Knowledge Representation #Bioinformatics #Natural Language Processing #Multiagent Systems #Supervised Learning #Unsupervised Learning #Deep Learning #Big Data and Ai Approaches #Reinforcement Learning #And Learning with Generative Adversarial Networks #Regression and Prediction #Problem Solving and Planning #Clustering #Classification #Neural Information Processing #Vision and Speech Perception #Heterogeneous and Streaming Data #Probabilistic Models and Methods #Reasoning and Inference #Marketing and Social Sciences #Knowledge Discovery #Web Mining #Information Retrieval #Design and Diagnosis #Game Playing #Streaming Data #Music Modelling and Analysis #Robotics and Control #Multi-Agent Systems #Active Vision and Robotic Systems #Architecture of Imaging and Vision Systems #Autonomous Vehicles #Character and Handwritten Text Recognition #Chemical and Spectral Sensitization #Chemistry of Photosensitive Materials #Coating Technologies #Coding and Transmission #Cognitive Aspects of Image Understanding #Color Imaging #Communication of Visual Data #Data Fusion from Multiple Sensor Inputs #Display and Printing #Document Image Understanding # Generation and Display #Holography #Image Analysis and Interpretation #Image Capturing #Image Databases #Image Generation #Image Manipulation #Image Permanence #Image Processing #Image Processing Applications #Image Processing: Coding Analysis and Recognition #Image Representation #Image Sensing #Imaging Systems and Image Scanning #Implementation and Architectures #Latent Image #Materials for Electro-Photography #Monitoring and Surveillance #Network Architecture for Real-Time Video Transport #New Visual Services Over ATM/Packet Network #Non-Impact Printing Technologies #Object Modeling and Knowledge Acquisition #Photoconductors #Photographic Emulsions #Photopolymers #Prepress and Printing Technologies #Processing and Analysis #Protocols for Packet Video #Remote Image Sensing #Retrieval and Multimedia #Scene Modeling #Signal-Processing Aspects of Image Processing #Storage and Transmission #Video Coding Algorithms and Technologies for ATM/P #Ethics of Software Engineering and Management #Software Life Cycles Development Models #Project Planning and Management #Software Requirements Analysis #Software Design Analysis #Software Testing and Integration #Software Implementation and Maintenance #Software Maintenance and Maintainability #Software Metrics or Attributes #Software Risk Assessment and Containment #Reliability #Software Quality and Quality Assurance #Software Cost Estimation #Object Oriented Developments #Object Oriented Metrics #Object Oriented Testing #Formal Notations #3D Reconstruction #Computer Animation #Computational Fabrication #Computational Geometry #Computational Photography #Computer Vision for Computer Graphics #Data Compression for Graphics #Geometric Modelling #Geometric Processing #HCI and Computer Graphics #Human Modelling #Image Analysis #Image Based Rendering #Image Processing #Machine Learning for Graphics #Medical Imaging #Pattern Recognition #Physically Based Modelling #Illumination and Rendering ethods #Robotics and Vision #Saliency Methods #Scientific Visualization #Shape and Surface Modelling #Shape Analysis and Image Retrieval #Shape Matching #Sketch-based Modelling #Solid Modelling #Stylized rendering #Textures #Virtual and Augmented Reality #Visual Analytics #Volume Rendering #Data Mining #Data Science #Big Data #Data Warehouse #Visualization #Security #Privacy #Big DaaS #Scalable Computing #Cloud Computing #Knowledge Discovery #Integration #Transformation #Information Retrieval #Social Data and Semantics #Mining Functions #Data Regression #Data Classification #Anomaly Detection #Data Clustering #Data Association #Data Regression #Data Cleaning #Feature Selection and Extraction #Data Mining Algorithms #Apriori #Decision Tree #Generalized Linear Models #K-Means #Minimum Description Length #Naive Bayes #Non-Negative Matrix Factorization #0-Cluster #Support Vector Machines #Data Preparation #Mining Unstructured Data #Artificial Intelligence #Future Directions and Challenges in Data Mining #Industrial Challenges in Data Mining #Cryptographic Protocols #Cryptography and Coding #Untrace-Ability #Privacy and Authentication #Key Management #Authentication #Trust Management #Quantum Cryptography #Computational Intelligence in Security #Artificial Immune Systems #Biological & Evolutionary Computation #Intelligent Agents and Systems #Reinforcement & Unsupervised Learning #Autonomy-Oriented Computing #Coevolutionary Algorithms #Fuzzy Systems #Biometric Security #Trust Models and Metrics #Regulation and Trust Mechanisms #Data Integrity #Models for Authentication #Trust and Authorization #Wireless Network Security #Information Hiding #Data & System Integrity #Access Control and Intrusion Detection #Intrusion Detection and Vulnerability Assessment #Authentication and Non-Repudiation #Identification and Authentication #Insider Threats and Countermeasures #Intrusion Detection & Prevention #Secure Cloud Computing #Security Information Systems Architecture and Design and Security Patterns #Security Management #Security Requirements (Threats, Vulnerabilities, Risk, Formal Methods, etc.) #Sensor and Mobile ad hoc Network Security #Service and Systems Design and QOS Network Security #System Security #Intrusion Detection #Secure end Systems #Secure Operating Systems #Data Base Security #Security Infrastructures #Security Evaluation #Software Security #Security and Privacy in Mobile Systems#Security and Privacy in Pervasive/Ubiquitous Computing #Security and Privacy in Web Services #Security and Privacy Policies #Security Area Control #Security Deployment #Security Engineering #Security for Grid Computing #Security in Distributed Systems #Network Security #Internet Security #Firewalls #Mobile Security #Security Agents #Protocols #Anti-Virus and Anti-Hacker Measures #Content Protection #Software Protection #Tamper Resistant Software #Electronic Commerce #Electronic Government #Health #Telecommunications #Mobility #Foundations #Privacy #Access Control #Authentication #Identification #Applied Cryptography #Formal Methods in Information Security #IoT & IoE & Edge Computing #Distributed Mobile Applications Utilizing IoT #Security, Privacy and Trust in IoT & IoE #Standards for IoT Applications #Ubiquitous Computing #Blockchain-enabled IoT Device and Data Security and Privacy #Application of WSN in IoT #Cloud Resources Utilization in IoT #Wireless Access Technologies for IoT #Mobile Applications and Services for IoT #Machine/ Deep Learning with IoT & IoE #Smart Sensors and Internet of Things for Smart City #Logic, Functional programming and Microcontrollers for IoT #Sensor Networks, Actuators for Internet of Things #Data Visualization using IoT #IoT Application and Communication Protocol #Big Data Analytics for Social Networking using IoT #IoT Applications for Smart Cities #Emulation and Simulation Methodologies for IoT #IoT Applied for Digital Contents #Soft Computing #Advance Ubiquitous Computing #Parallel Computing #Distributed Computing #Machine Learning #Information Retrieval #Expert Systems #Data Mining #Text Mining #Data Warehousing #Predictive Analysis #Data Management #Big Data Analytics #Big Data Security #Nature Inspired Computing #Reconfigurable Computing #Cloud, Cluster, Grid and P2P Computing #Biomedical Computing #Green Computing #Mobile Computing #Nano Ubiquitous Computing #Context Awareness and Personalization, Autonomic and Trusted Computing #Internet Computing #Sequential, Parallel and Distributed Algorithms and Data Structures #Approximation and Randomized Algorithms #Graph Algorithms And Graph Drawing #On-Line and Streaming Algorithms #Analysis of Algorithms and Computational Complexity #Algorithm Engineering #Web Algorithms #Exact And Parameterized Computation #Algorithmic Game Theory #Computational Biology #Foundations of Communication Networks #Computational Geometry #Discrete Optimization #Software Engineering Methodologies #Agent-based Software Engineering #Artificial Intelligence Approaches to Software Engineering #Component-based Software Engineering #Embedded and Ubiquitous Software Engineering #Aspect-based Software Engineering #Empirical Software Engineering #Search-Based Software Engineering #Automated Software Design and Synthesis #Computer-Supported Cooperative Work #Automated Software Specification #Reverse Engineering #Software Engineering Techniques and Production Perspectives #Requirements Engineering #Software Analysis, Design and Modelling #Software Maintenance and Evolution #Software Engineering Tools and Environments #Software Engineering Decision Support #Software Design Patterns #Software Product Lines #Process and Workflow Management #Reflection and Metadata Approaches #Program Understanding and System Maintenance #Software Domain Modelling and Analysis #Software Economics #Multimedia and Hypermedia Software Engineering #Software Engineering Case Study and Experience Reports #Enterprise Software, Middleware, and Tools #Artificial Intelligent Methods, Models, Techniques #Artificial Life and Societies #Swarm Intelligence #Smart Spaces #Autonomic Computing and Agent-Based Systems #Autonomic Computing #Adaptive Systems #Agent Architectures, Ontologies, Languages and Protocols #Multi-Agent Systems #Agent-Based Learning and Knowledge Discovery #Interface Agents #Agent-Based Auctions and Marketplaces #Secure Mobile and Multi-Agent Systems #Mobile agents #SOA and Service-Oriented Systems #Service-Centric Software Engineering #Service Oriented Requirements Engineering #Service Oriented Architectures #Middleware for Service Based Systems #Service Discovery and Composition #Service Level Agreements (Drafting, Negotiation, Monitoring and Management) #Runtime Service Management #Semantic web #Data Modelling, Mining and Data Analytics #Aggregation, Integration, and Transformation #Web and Text Mining #Data Mining Methods, Techniques, and Tools #Data Analytics Modelling and Algorithms #Patterns and Frameworks #Data Visualization #Knowledge Systems and Engineering #Knowledge Acquisition #Knowledge-based and Expert Systems #Knowledge Representation and Retrievals #Knowledge Engineering Tools and Techniques #Time and Knowledge Management Tools #Knowledge Modelling, Integration, Transformation, and Management #Uncertainty Knowledge Management #Knowledge Visualization #Mobile Computing and Mobile System Engineering #Mobile App Design and Development #Innovative Mobile Applications #Pervasive Computing #Mobile System Validation and Test Automation #Software & System Quality of Service #Soft Computing #Software and System Testing Methods #Quality Assurance Process, Standards, and Systems #Software Safety Systems #Software Test Automation and Tools #Software Dependability, Reliability, Scalability #Software & System Security #Software and System Security and Privacy #Mobile App Security and Privacy #Encryption Methods and Tools #Security Service Systems #Cloud, Sensor Cloud and Mobile Cloud Security #Mobile System Integrity, Security, And Fault Tolerance #Emergent Topics #Cloud Computing and Innovative Cloud-Based Application Systems #Mobile Cloud Computing and Application Services #Big Data Analytics Application Systems #Innovative Sensing Cloud and Systems #Large-Scale Cyber Systems #IoT and Smart City Application Systems #Big Data Quality Validation #Big Data Application Quality Services #Smart Learning and Innovative Education Systems #Learning Software Design Engineering #Smart Learning Methods and Environments #Online Learning Systems #Mobile Enabled Learning Systems and Tools #PhD Academic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #ESCI #Science #Journal #Conference #SSRN #PubLons #PhD #Academic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #LatticeScience #ESCI #Science #Journal #Conference #SSRN #PubLon

Wavelets for the Fast Solution of Ordinary Differential Equations
Pankaj Varshney¹, Kapil Kumar Bansal², Jyotshana Gaur³
¹Pankaj Varshney, SRM University, NCR Campus, Ghaziabad, India.
²Dr. Kapil Kumar Bansal, SRM University, NCR Campus, Ghaziabad, India.
³Jyotshana Gaur, SRM University, NCR Campus, Ghaziabad, India
Manuscript received on September 01, 2012. | Revised Manuscript received on September 02, 2012. | Manuscript published on September 05, 2012. | PP: 287-291 | Volume-2 Issue-4, September 2012. | Retrieval Number: D0943082412/2012©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this paper, wavelets have shown to be a powerful tool and a potential substitute for the Fourier transform in many problems. It is natural to use them for the solution of differential equations. In this chapter, we show how to use wavelets in the numerical solution of boundary value ordinary differential equations. Rather than using algebraic wavelets, we adapt the wavelets to the specific operator at hand. We want their construction to be easy to implement and computationally inexpensive in order to build a general solver
Keywords: FFT, Wavelet, Boundary Value

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D0957082412

IJSCE Journal — Sat, 09 Oct 2021 05:39:37 +0000

Investigation of Techniques for Efficient & Accurate Indexing for Scalable Record Linkage & Deduplication
Sunitha Yeddula¹, K.Lakshmaiah²
¹Sunitha Yeddula, (M.Tech),IInd yr,cse, MITS, Madanapalle, Chittoor dist, A.P, India,
²K.Lakshmaiah, M.tech.,(Ph.D),Associate Profes- or, cse dept, MITS, Madanapalle, Chittoor dist, A.P, India,
Manuscript received on September 01, 2012. | Revised Manuscript received on September 02, 2012. | Manuscript published on September 05, 2012. | PP: 242-246 | Volume-2 Issue-4, September 2012. | Retrieval Number: D0957082412/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Record linkage is the process of matching records from several databases that refer to the same entities. When applied on a single database, this process is known as deduplication. Increasingly, matched data are becoming important in many applications areas, because they can contain information that is not available otherwise, or that is too costly to acquire. Removing duplicate records in a single database is a crucial step in the data cleaning process. and also, the complexity of the matching process becomes one of the major challenge. Various indexing techniques have been developed for record linkage and deduplication. They are aimed at reducing the number of record pairs to be compared in the matching process by removing obvious non-matching pairs, while at the same time maintaining high matching quality. This paper presents a survey of variations of six indexing techniques. Their complexity is analyzed, and their performance and scalability is evaluated within an experimental framework using both synthetic and real data sets.
Keywords: Data matching, data linkage, entity resolution, index techniques, blocking, experimental evaluation, scalability.`

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D0964082412

IJSCE Journal — Sat, 09 Oct 2021 05:34:16 +0000

The post D0964082412 appeared first on International Journal of Soft Computing and Engineering (IJSCE).

D0950082412

IJSCE Journal — Sat, 09 Oct 2021 05:29:15 +0000

Scattered Domination in Graphs
Rajesh Kumar Tripathi¹, Minakshi Gaur²
¹Rajesh Kumar Tripathi, Astt Professor Deptt. of Mathematics, Bharat Institute Technology, Meerut(U.P.), India
²Dr. Minakshi Gaur, Head, Depts. Mathematics, N.A.S.(PG) College, Meerut(U.P.), India
Manuscript received on September 01, 2012. | Revised Manuscript received on September 02, 2012. | Manuscript published on September 05, 2012. | PP: 279-283 | Volume-2 Issue-4, September 2012. | Retrieval Number: D0950082412/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this paper, we want to compute an optimal scattered domination for domination graph. In this paper, we also show optimal broadcast domination is in path P. We first prove that every graph has an optimal scattered domination in which the subset of vertices dominated by the same vertex is ordered in a path or a cycle. Using this, we give a polynomial time algorithm for computing optimal broadcast domination of arbitrary graphs.
Keywords: Domination graph, scattered domination graph, path, broadcast domination of graph.

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D0947082412

IJSCE Journal — Sat, 09 Oct 2021 05:25:05 +0000

High Temperature Electrical Characterization of Single Crystal of N-Type CDSE Optimally Annealed in a molten CD
Pankaj Varshney
Pankaj Varshney, Department of Physics, SRM University, NCR Campus Modinagar-201204, India.
Manuscript received on September 01, 2012. | Revised Manuscript received on September 02, 2012. | Manuscript published on September 05, 2012. | PP: 275-278 | Volume-2 Issue-4, September 2012. | Retrieval Number: D0947082412/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this paper high quality single crystal of n-type CDSE is grown from the vapor phase by the piper polich method. X-ray laue photographs from different directions are taken. DC galvanomagnetic properties are measured and analyzed in the temperature range 75 to 450 K in an undoped single crystal of ntype CDSE, which was optimally annealed in high purity molten CD at 850 0C for a period of ~ 400 h. α- the polaron coupling constant is estimated from the measured Hall mobility (µH ) data at low and intermediate temperature by identifying a temperature region, wherein only the polar optical phonon scattering operates in the conduction band. The deformation potential Eb in the conduction band of CDSE is obtained from the measured µH data in the temperature region wherein the deformation potential also operates effectively. It is shown that a change in the microscopic mobility through photo excitation indicate a change in scattering.
Keywords: CDSE, Methodology

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C0302081312

IJSCE Journal — Sat, 09 Oct 2021 05:21:49 +0000

Effect of Communication Frequency on Specific Absorption Rate of Electromagnetic Radiations in Human Body
Amarjeet Kaur¹, Himani Malik², Asha Lather³, V. K. Lamba⁴
¹Er. Amarjeet Kaur, Department of Electronics& Communication Engg., ACME, Faridabad, India.
²Er. Himani Malik, Department of Electronics& Communication Engg., HCTM, Kaithal, India.
³Er. Asha Lather, Department of Electronics& Communication Engg., HCTM, Kaithal, India.
⁴Dr. V.K. Lamba, Department of Electronics& Communication Engg., HCTM, Kaithal, India.
Manuscript received on September 01, 2012. | Revised Manuscript received on September 02, 2012. | Manuscript published on September 05, 2012. | PP: 272-274 | Volume-2 Issue-4, September 2012. | Retrieval Number: C0302081312/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this paper a novel approach for analyzing penetration of electromagnetic radiations in human tissue at different frequency is presented. Moreover, we concentrated our work on analyzing the other related factors describing system performance like return loss& Voltage Standing Wave Ratio (VSWR). consider We use different communication frequencies to simulate antenna for analyzing variation in Specific Absorption Rate (SAR) of electromagnetic radiations (produced by handheld communication devices) in Human tissues at different communication frequencies.
Keywords: Electromagnetic Interaction, Electromagnetic radiations, EM waves, Return Loss, Specific Absorption Rate, SAR, VSWR, XFDTD

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D0963082412

IJSCE Journal — Sat, 09 Oct 2021 05:14:50 +0000

Improved Block Based Feature Level Image Fusion Technique using Multiwavelet with Neural Network
C. M. Sheela Rani¹, V. VijayaKumar², B. V. Ramana Reddy³
¹C. M. Sheela Rani, Research Scholar, Dept of Computer Science & Engg, Acharya Nagarjuna University, Guntur, India.
²V. VijayaKumar, Dept of Computers, Head SSRF, GIET, JNTUK, Rajahmundry, A.P, India.
³B. V. Ramana Reddy, Assoc. Prof in CSE, JNTUH, Hyderabad, Andhra Pradesh, India
Manuscript received on September 01, 2012. | Revised Manuscript received on September 02, 2012. | Manuscript published on September 05, 2012. | PP: 265-271 | Volume-2 Issue-4, September 2012. | Retrieval Number: D0963082412/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Image fusion is defined as the process of combining two or more different images into a new single image retaining the important features from each image with extended information content. To overcome the spectral distortions in the fused image, many multiresolution based approaches have been proposed. They include different pyramid transforms and discrete scalar wavelet transforms. The multiwavelet transform (MWT) produces a non-redundant image representation, which provides better spatial and spectral localization of image formation. This paper has derived an efficient block based feature level multiwavelet transform with neural network (BFMN) model for image fusion. The proposed (BFMN) model integrates MWT with neural network, which is one of the feature extraction or detection machine learning applications. In the proposed BFMN model, the two fusion techniques, multiwavelet transform (MWT) and neural network (NN) are discussed for fusing the IRS-1D images using LISS III scanner about the locations Hyderabad, Vishakhapatnam, Mahaboobnagar and Patancheru in Andhra Pradesh, India. Also QuickBird image data and Landsat 7 image data are used to perform experiments on the proposed BFMN model. The features under study are contrast visibility, spatial frequency, energy of gradient, variance and edge information. Feed forward back propagation neural network is trained and tested for classification since the learning capability of neural network makes it feasible to customize the image fusion process. The trained neural network is then used to fuse the pair of source images. The proposed BFMN model is compared with other techniques to assess the quality of the fused image. Experimental results clearly prove that the proposed BFMN model is an efficient and feasible algorithm for image fusion.
Keywords: Image Fusion, Multiwavelet Transform, GHM multiwavelet, Mutual information, Performance Analysis.

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D0960082412

IJSCE Journal — Sat, 09 Oct 2021 05:09:02 +0000

Requirements Volatility in Software Development Process
M. P. Singh¹, Rajnish Vyas²
¹Dr. M.P. Singh, Principal/Director, N.I.E.T, Alwar, Rajasthan, India
²Rajnish Vyas, Research Scholar, Singhania University, Rajasthan, India.
Manuscript received on September 01, 2012. | Revised Manuscript received on September 02, 2012. | Manuscript published on September 05, 2012. | PP: 259-264 | Volume-2 Issue-4, September 2012. | Retrieval Number: D0960082412/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Changes in requirements do occur during the software development life cycle. The changes may take place from the initial design phase up to the implementation phase. These change that creep during the development process pose risk to cost and quality of the product, but at the same time provide an opportunity to add value. This paper discusses the requirement, volatility in requirements, causes of requirement volatility and then the impact of requirement volatility on Project Schedule, Project Cost, Project Performance, Software Quality and Software Maintenance. We also try to explore the positive implications (if any) of the requirement changes. The purpose of this paper is to discuss aspects related to requirement volatility.
Keywords: Requirements change; requirements management; project management; card sorting; software evolution; development; maintenance.

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D0923072412

IJSCE Journal — Sat, 09 Oct 2021 05:03:06 +0000

Efficient Techniques for Denoising of Highly Corrupted Impulse Noise Images
Suresh Velaga¹, Sridhar Kovvada²
¹Suresh Velaga, Department of ECE, Chaitanya Engineering College, Visakhapatanam, A.P., India.
²Sridhar Kovvada. Assistant Professor, Department of ECE, Chaitanya Engineering College, Visakhapatanam, A.P., India.
Manuscript received on September 01, 2012. | Revised Manuscript received on September 02, 2012. | Manuscript published on September 05, 2012. | PP: 255-258 | Volume-2 Issue-4, September 2012. | Retrieval Number: D0923072412/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In this paper, different types of impulse noise removal techniques are presented. Because of adaptive nature of mask size depending on the noise quantity in the image, adaptive median filter works better in removing the salt and pepper noise. To show the performance of Adaptive Median filter, median filter, Lee filter, Frost and Kuan filters and DWT and Duqal tree Complex Wavelet Transform are considered. Adaptive median filter is compared with other filters and also the transformations. The superiority of Adaptive Median filter in removing the Highly Corrupted with impulse noise in images are presented. Graphs are drawn between the input PSNR and output PSNR for impulse noise removal techniques.
Keywords: Dual-Tree CWT, Adaptive median Filter, DWT

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D0919072412

IJSCE Journal — Sat, 09 Oct 2021 04:57:58 +0000

Security Approaches in Wireless Home Networks – The Incipient drifts and Surviving Glitches
Dhowmya Bhatt¹, Ekata Gupta²
¹Dhowmya Bhatt, Research Scholar, Mewar University, Chittorgarh (Rajasthan), India.
²Ekata Gupta, Associate Professor, Department of Mathematics, Krishna Institute of Engineering and Technology, Ghaziabad(U.P.), India
Manuscript received on September 01, 2012. | Revised Manuscript received on September 02, 2012. | Manuscript published on September 05, 2012. | PP: 251-254 | Volume-2 Issue-4, September 2012. | Retrieval Number: D0919072412/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The usage of wireless Networks have almost become inevitable for the human community. From a simple point to point communication to extra-large-area covering networks, wireless communication is a significant part and parcel of technological progress that mankind has ever made. As the vast convention of wireless has increased than ever before, it also becomes the matter of concern of how to protect these networks from attacks and attackers and ensure the users safe and secured communication. It is worthwhile to note that the Right to the protect the moral and material interests resulting from any scientific production owned by an individual is one of the basics of Human rights declaration. Hence it is very much essential to implement and practice methods to secure wireless networks in a very strict manner so as to ensure confidentiality of the information transmitted and ensure people involved communication some absolutely reliable safety. The attempt to safeguard home wireless networks will greatly benefit mankind which not otherwise would be a huge loss to the entire human community. This Paper is an effort to throw light on the upcoming trends in securing wireless networks and the external threats to these networks. Possible future directions are also addressed towards the end.
Keywords: Security, privacy, attacks, intruders

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