Volume-1 Issue-6, January 2012 – International Journal of Soft Computing and Engineering (IJSCE)

F0361121611

IJSCE Journal — Wed, 06 Oct 2021 03:51:02 +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

Some New Type of Fuzzy I-Convergent Double Difference Sequence Spaces
Santanu Roy
Santanu Roy, Department of Mathematics, NIT. Silchar, Silchar, India.
Manuscript received on December 04, 2011. | Revised Manuscript received on December 26, 2011. | Manuscript published on January 05, 2012. | PP: 429-431 | Volume-1 Issue-6, January 2012. | Retrieval Number: F0361121611/2012©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 we introduce some new classes of double difference sequence spaces of fuzzy numbers. We study different topological properties of these sequence spaces like completeness, solidity etc. Also we obtain some inclusion relation involving these sequence spaces.
Keywords: Fuzzy real number, Difference sequence, Solid space, Monotone, Sequence algebra.

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F0358121611

IJSCE Journal — Wed, 06 Oct 2021 03:46:12 +0000

A Hybrid Wireless Network Model for Post Disaster Relief Operations
SK Dwivedi¹, NK Shukla², Sudhakar Pandey³
¹S.K.Dwivedi, Research Scholar, Department of Electronics and Communication, J K Institute of Applied Physics and Technology, University of Allahabad, Allahabad, India.
²Dr. N. K. Shukla, Associate Professor, Department of Electronics and Communication, J K Institute of Applied Physics and Technology, University of Allahabad, Allahabad, India.
³Sudhakar Pandey, Assistant Professor, Department of Information Technology, National Institute of Technology Raipur, Raipur, India.
Manuscript received on December 08, 2011. | Revised Manuscript received on December 27, 2011. | Manuscript published on January 05, 2012. | PP: 424-428 | Volume-1 Issue-6, January 2012. | Retrieval Number: F0358121611/2012©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 the event of large scale natural disaster, most of the public utility services like communication, power and roads get disrupted. Post disaster relief operations need quick but reliable restoration of these services. Rapid and reliable deployment of communication setup is highly crucial to commence rescue and relief operations. Mobile Ad-hoc Networks (MANETs) can be built quickly but suffer from problems due to nodes mobility; on the other hand, Static Ad-hoc Networks (SANETs) can provide better performance but takes longer time to establish. This paper presents a Hybrid Network model having features like scalability, robustness, speedy deployment, portability, cost effective and desired QoS. The proposed Hybrid Ad-hoc Network (HANET) topology is a combination of static nodes of grid topology of SANET and the mobile nodes of random topology of MANET. In the recent past, many researchers have shown interest in the development of directional antenna based MAC protocols. Although directional antenna brings in advantages of higher transmission range, spatial reuse and so on but equally suffers from typical problems of hidden/exposed terminals, head-of-line blocking and deafness etc. In this paper, we have proposed a novel protocol based on the directional smart antenna to exploit the advantage of spatial reuse in terms of multiple concurrent transmissions while ensuring collision avoidance. Simulation results demonstrated that the throughput and end-to-end delay performances of the proposed MAC protocol with HANET model is significantly better than the legacy MANETs with IEEE 802.11-MAC.
Keywords: MANETs) can be built quickly but suffer from problems due to nodes mobility.

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F0354121611

IJSCE Journal — Wed, 06 Oct 2021 03:38:29 +0000

Segmentation of Tissues in Brain MRI Images using Dynamic Neuro-Fuzzy Technique
S.Javeed Hussain¹, T. Satya Savithri², P. V. Sree Devi³
¹S.Javeed Hussain, Associate Professor,Department of ECE, BCETFW, Kadapa, India
²T. Satya Savithri, Professor, Department of ECE, JNTUH Hyderabad, India
³P.V. Sree Devi, Professor, Department of ECE, AU, Vishakapatnam, Andhra Pradesh, India
Manuscript received on December 09, 2011. | Revised Manuscript received on December 26, 2011. | Manuscript published on January 05, 2012. | PP: 416-423 | Volume-1 Issue-6, January 2012. | Retrieval Number: F0354121611/2012©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, an efficient technique is proposed for the precise segmentation of normal and pathological tissues in the MRI brain images. The proposed segmentation technique initially performs classification process by utilizing Fuzzy Inference System (FIS) and FFBNN. Both classifiers are utilizing the extracted image features as an input for the classification process. The features that are extracted in two ways from the MRI brain images. The FIS are used to make the classification process by generating the fuzzy rules using extracted features. Five features are extracted from the MRI images: they are two dynamic statistical features and three 2D wavelet decomposition features. In Segmentation, the normal tissues such as WM (White Matter), GM (Gray Matter) and CSF (Cerebrospinal Fluid) are segmented from the normal MRI images and pathological tissues such as Edema and Tumor are segmented from the abnormal images. The non-cortical tissues in the normal images are removed by the preprocessing stage. The implementation result shows the efficiency of proposed tissue segmentation technique in segmenting the tissues accurately from the MRI images. The performance of the segmentation technique is evaluated by performance measures such as accuracy, specificity and sensitivity. The performance of segmentation process is analyzed using a defined set of MRI brain image and compared against K-means clustering and Fuzzy ANN based segmentation methods.
Keywords: MRI, FFBNN, FIS.

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F0353121611

IJSCE Journal — Wed, 06 Oct 2021 03:31:38 +0000

WPower Flow Controller/Short Circuit Current Limiter
G.Akhilesh¹, V.Suresh², P.Anvesh³
¹G.Akhilesh Electrical and Electronic Engineering, Student, Hyderabad, India .
²V.Suresh Electrical and Electronic Engineering, Student, Hyderabad, India.
³P.Anvesh Electrical and Electronic Engineering, Faculty member at PBIT, Hyderabad, India
Manuscript received on December 07, 2011. | Revised Manuscript received on December 26, 2011. | Manuscript published on January 05, 2012. | PP: 409-415 | Volume-1 Issue-6, January 2012. | Retrieval Number: : F0353121611/2012©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: This paper presents the various advantages of Thyristor Controller Series Capacitor (TCSC), both as a Power Flow Controller, as well as a Short Circuit limiter during faults. The results have been derived and verified from the software PSCAD, and the graphs and calculations are included in the paper. The results and information included in the paper are sufficiently accurate.
Keywords: Modelling, power system dynamic stability.

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F0352121611

IJSCE Journal — Wed, 06 Oct 2021 03:15:11 +0000

Analysis of Call Admission Control Schemes for WLAN Coupled to 3G Network
S. Kokila¹, R. Shankar², P. Dananjayan³
¹ S.Kokila, Post Graduate Student, Department of ECE, Pondicherry Engineering College, Pondicherry, India.
²R.Shankar, Research Scholar, Department of ECE, Pondicherry Engineering College, Pondicherry, India.
³P.Dananjayan, Professor, Department of ECE, Pondicherry Engineering College, Pondicherry, India.
Manuscript received on December 04, 2011. | Revised Manuscript received on December 27, 2011. | Manuscript published on January 05, 2012. | PP: 402-408 | Volume-1 Issue-6, January 2012. | Retrieval Number: F0352121611/2012©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: Convergence of wireless local area network (WLAN) and third generation (3G) wireless network is expected to create new markets for service providers and tender enhanced services to the integrated network users. In this paper, call admission control (CAC) schemes viz., throughput (TP) based CAC and dynamic partitioning (DP) CAC with service differentiation for WLAN coupled to 3G network have been analysed. The 3G/WLAN convergence network with TP based admission control is developed for loose, tight and hybrid coupled network. DP scheme, a resource allocation mechanism is also implemented, in which the differentiation between the data and voice calls are made by using different thresholds. The performance parameters such as delay, throughput, voice and data call blocking probabilities are analysed for different coupled networks.
Keywords: 3G/WLAN convergence network, call admission control, inter-networking.

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F0351121611

IJSCE Journal — Tue, 05 Oct 2021 12:15:10 +0000

Web Users Session Analysis using DBSCAN and Two Phase Utility Mining Algorithms
G. Sunil Kumar¹, C.V. K Sirisha², Kanaka Durga. R ³, A. Devi⁴
¹G. Sunil Kumar, Department.of Computer Applications, Maris Stella College, Vijayawada, A.P., India.
²G. Sunil Kumar, Department of Computer Applications, Maris Stella College, Vijayawada, A.P., India.
³G. Sunil Kumar, Deptartment of Computer Applications, Maris Stella College, Vijayawada, A.P., India.
⁴G. Sunil Kumar, Deparment of Computer Applications, Maris Stella College, Vijayawada, A.P., India.
Manuscript received on December 06, 2011. | Revised Manuscript received on December 25, 2011. | Manuscript published on January 05, 2012. | PP: 396-401 | Volume-1 Issue-6, January 2012. | Retrieval Number: F0351121611/2012©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: One of the important issues in data mining is the interestingness problem. Typically, in a data mining process, the number of patterns discovered can easily exceed the capabilities of a human user to identify interesting results. To address this problem, utility measures have been used to reduce the patterns prior to presenting them to the user. A frequent itemset only reflects the statistical correlation between items, and it does not reflect the semantic significance of the items. This proposed approach uses a utility based itemset mining approach to overcome this limitation. This proposed system first uses Dbscan clustering algorithm which identifies the behavior of the users page visits, order of occurrence of visits. After applying the clustering technique High Two phase utility mining algorithm is applied, aimed at finding itemsets that contribute high utility.Mining web access sequences can discover very useful knowledge from web logs with broad applications. Mining useful Web path traversal patterns is a very important research issue in Web technologies. Knowledge about the frequent Web path traversal patterns enables us to discover the most interesting Websites traversed by the users. However, considering only the binary (presence/absence) occurrences of the Websites in the Web traversal paths, real world scenarios may not be reflected. Therefore, if we consider the time spent by each user as a utility value of a website, more interesting web traversal paths can be discovered using proposed two-phase algorithm. User page visits are sequential in nature. In this paper MSNBC web navigation dataset is used to compare the efficiency and performance in web usage mining is finding the groups which share common interests General Terms Web session mining, log analysis.
Keywords: Webusage Mining, Itemset, DBScan, Association rules.

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F0350121611

IJSCE Journal — Tue, 05 Oct 2021 12:08:18 +0000

Robust Preprocessing and Random Forests Technique for Network Probe Anomaly Detection
G. Sunil Kumar¹, C. V. K Sirisha², Kanaka Durga. R³, A. Devi⁴
¹G. Sunil Kumar, Departemnt of Computer Applications, Maris Stella College, Vijayawada, A.P., India.
²G. Sunil Kumar, Departemnt of Computer Applications, Maris Stella College, Vijayawada, A.P., India.
³G. Sunil Kumar, Departemnt of Computer Applications, Maris Stella College, Vijayawada, A.P., India.
⁴G. Sunil Kumar, Departemnt of Computer Applications, Maris Stella College, Vijayawada, A.P., India.
Manuscript received on December 10, 2011. | Revised Manuscript received on December 27, 2011. | Manuscript published on January 05, 2012. | PP: 391-395 | Volume-1 Issue-6, January 2012. | Retrieval Number: F0350121611/2012©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: During the past few years, huge amount of network attacks have increased the requirement of efficient network intrusion détection techniques. Different classification techniques for identifying various real time network attacks have been proposed in the literature. But most of the algorithms fail to classify the new type of attacks due to lack of collaborative filtering technique and robust classifiers. In this project we propose a new collaborating filtering technique for preprocessing the probe type of attacks and implement a hybrid classifiers based on binary particle swarm optimization (BPSO) and random forests (RF) algorithm for the classification of PROBE attacks in a network. PSO is an optimization method which has a strong global search capability and is used for fine-tuning of the features whereas RF, a highly accurate classifier, is used here for Probe type of attacks classification.
Keywords: Random forest, self organizing map, intrusion
detection, filtering, Normalization.

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F0348121611

IJSCE Journal — Tue, 05 Oct 2021 12:00:08 +0000

Fuzzy Based Adaptive Filters in Color Image Processing
D. Sreenivasa Rao¹, Y. Gangadhar², V.S. Giridhar Akula³
¹D. Sreenivasa Rao Associate Professor and HOD (CSE), Vemu Institute of Technology, Chittoor , A.P.
²Y. Gangadhar, Asst. Professor, Dept of CSE, Avanthi’s Scientific Technological and Research Academy, Hyderabad-501512, A.P, India.
³Dr. V.S. Giridhar Akula, Professor and Principal, Avanthi’s Scientific
Technological and Research Academy, Hyderabad, A.P, India.
Manuscript received on December 05, 2011. | Revised Manuscript received on December 29, 2011. | Manuscript published on January 05, 2012. | PP: 332-335 | Volume-1 Issue-6, January 2012. | Retrieval Number: F0348121611/2012©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: Noise reduction is the very important stage of image processing and pattern reorganization. Many researches find new tools and filters for noise reduction. This paper proposed a fuzzy based adaptive filter. The proposed filter is composed with the existing filter like VDF, VMF and VRF with Gaussian noise, impulse noise and mixed Gaussian Noise. The proposed method is proved to be a best suitable one with a P value of 0.23.
Keywords: Rectangular Window, Rational Functions, Fuzzy Logic, Color Space, Trapezoid Fuzzy Subsets, Fuzzy Membership Function, Distances Function Sub Filters, Power Parameter.

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F0347121611

IJSCE Journal — Tue, 05 Oct 2021 11:51:40 +0000

Power – Aware Routing in Manet using Randomized Casting
B. Siva kumar¹, K. Tharani², S. venkatasen³
¹Sivakumar.B, Assistant Professor in Vel Tech Multi Tech Engineering College, Tamil Nadu, India.
²Sivakumar.B, Assistant Professor in Vel Tech Multi Tech Engineering College, Tamil Nadu, India.
³Venkatesan.S, Assistant Professor in Vel Tech Multi Tech Engineering College, Tamil Nadu, India.
Manuscript received on December 09, 2011. | Revised Manuscript received on December 25, 2011. | Manuscript published on January 05, 2012. | PP: 382-387 | Volume-1 Issue-6, January 2012. | Retrieval Number: F0347121611/2012©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 a typical wireless mobile ad hoc network (MANET) using a shared communication medium, every node receives or overhears every data transmission occurring in its vicinity. However, this technique is not applicable when a power saving mechanism (PSM) such as the one specified in IEEE 802.11 is employed, where a packet advertisement period is separated from the actual data transmission period. When a node receives an advertised packet that is not destined to it, it switches to a low-power state during the data transmission period, and thus, conserves power. However, since some MANET routing protocols such as Dynamic Source Routing (DSR) collect route information via overhearing, they would suffer if they are used with the IEEE 802.11PSM. Allowing no overhearing may critically deteriorate the performance of the underlying routing protocol, while unconditional overhearing may offset the advantage of using PSM. This paper proposes a new communication mechanism, called Random Cast or Rcast, via which a sender can specify the desired level of overhearing in addition to the intended receiver by using(Adhoc On-demand Distance Vector) AODV protocol. Therefore, it is possible that only a random set of nodes overhear and collect route information for future use. Rcast improves not only the energy efficiency, but also the energy balance among the nodes, without significantly affecting the routing efficiency.
Keywords: Energy balance, energy efficiency, mobile ad hoc networks, network lifetime, overhearing, power saving mechanism.

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F0346121611

IJSCE Journal — Tue, 05 Oct 2021 11:43:12 +0000

Power Control with MIDRS Codes in VMIMO WSN using Game Theoretic Approach
R.Valli¹, P.Dananjayan²
¹R.Valli, Research Scholar, Department of ECE, Pondicherry Engineering College, Pondicherry, India.
²P. Dananjayan, Professor, Department of ECE, Pondicherry Engineering College, Pondicherry, India.
Manuscript received on December 03, 2011. | Revised Manuscript received on December 22, 2011. | Manuscript published on January 05, 2012. | PP: 377-381 | Volume-1 Issue-6, January 2012. | Retrieval Number: F0346121611/2012©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: Improvements in electronic and computer technologies have tiled the path for explosion of wireless sensor networks (WSN). A fundamental component of resource management in WSN is transmitter power control and an efficient power control technique is essential to support system quality and efficiency. The data transmitted from the sensor nodes is highly susceptible to error in a wireless environment which increases the transmit power. Error control coding (ECC) schemes can improve the system performance and has an impact on energy consumption. Further the adverse impacts caused by radio irregularities and fading increases the energy consumption and thereby reduces the WSN lifetime. To reduce the fading effects in wireless channel, multi-input multi-output (MIMO) scheme is utilised for sensor network. This paper proposes a power control solution considering Multivariate Interpolation Decoding RS (MIDRS) Code in Virtual MIMO (VMIMO) WSN using game theoretic approach. The game is formulated as a utility maximizing distributed power control game while considering the pricing function. VMIMO utilising space time block code (STBC) along with MIDRS code enables to achieve higher energy savings and longer network lifetime by allowing nodes to transmit and receive information jointly. The performance of the proposed power control scheme with MIDRS code for the virtual MIMO wireless sensor network is evaluated in terms of utility, power efficiency, energy consumption and network lifetime.
Keywords: Game theory, MIDRS code, Space time block code, Virtual MIMO, Wireless sensor network.

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