Volume-5 Issue-1, March 2015 – International Journal of Soft Computing and Engineering (IJSCE)

A2552035115

IJSCE Journal — Fri, 01 Oct 2021 05:48:08 +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 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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

Association Rules Optimization using Particle Swarm Optimization Algorithm with Mutation
Mayank Agrawal¹, Manuj Mishra², Shiv Pratap Singh Kushwah³¹Mayank Agrawal, Research Scholar, ITM Universe, Gwalior, India.
²Manuj Mishra, Asst. Prof., Department of CSE, ITM Universe, Gwalior, India.
³Shiv Pratap Singh Kushwah, Asst. Prof., Department of CSE, ITM Universe, Gwalior, India.
Manuscript received on February 14, 2015. | Revised Manuscript received on February 25, 2015. | Manuscript published on March 05, 2015. | PP: 141-144 | Volume-5 Issue-1, March 2015. | Retrieval Number: A2552035115/2015©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 data mining, Association rule mining is one of the popular and simple method to find the frequent item sets from a large dataset. While generating frequent item sets from a large dataset using association rule mining, computer takes too much time. This can be improved by using particle swarm optimization algorithm (PSO). PSO algorithm is population based heuristic search technique used for solving different NP-complete problems. The basic drawback with PSO algorithm is getting trapped with local optima. So in this work, particle swarm optimization algorithm with mutation operator is used to generate high quality association rules for finding frequent item sets from large data sets. The mutation operator is used after the update phase of PSO algorithm in this work. In general the rule generated by association rule mining technique do not consider the negative occurrences of attributes in them, but by using PSO algorithm over these rules the system can predict the rules which contains negative attributes.
Keywords: Particle Swarm Optimization (PSO), Mutation, Association rule, Support, Confidence, Frequent item set, Data mining.

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A2553035115

IJSCE Journal — Fri, 01 Oct 2021 05:42:23 +0000

A Survey on Text Recognition from Natural Scene Images and Videos
Usha Yadav¹, Nilmani Verma²¹Er. Usha Yadav received her BE (Computer Scieence) from M P Christian College of Engg. And Technology, Bhilai.
²Er. Nilmani Verma is working as Assistant Professor in Department of Computer Science & Engineering, School of Engineering & IT, MATS University, Raipur.
Manuscript received on February 20, 2015. | Revised Manuscript received on February 28, 2015. | Manuscript published on March 05, 2015. | PP: 137-140 | Volume-5 Issue-1, March 2015. | Retrieval Number: A2553035115/2015©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: Text recognition from any natural scenes images and videos is application of image processing technique. Basically text recognition is belongs to the pattern recognition which is part of image processing techniques. Now these days text recognition from natural scene images and videos is very difficult task.For make it easy four basic steps must be apply that approaches are (i) Text image pre processing (ii) character segmentation (iii) character recognition and (iv) Text recognition. In the state of art methods , character segmentation having two major approaches that is Segmentation –based approaches which segment the text into individual character before recognizing and segmentation-free approaches which recognizes character directly from whole text images without any segmentation. Character can also be recognized with two approach that is pattern matching methods in that particular method character are usually identified by a set of features and machine learning methods in which the methods are designed that are learn automatically from the image or after extracting feature. Various method has been applied earlier for extracting text from images and videos. These all methods are trying to provide better result .Various paper use printed text images for recognition their we never required any preprocessing for extracting text . Here is the name of some methods that are used for text recognition that are are Specific directed acyclic graph techniques, scalable feature learning algorithm, k nearest neighbour technique and back propagation algorithm. All those method which has been applying for text recognition , they all provide accuracy in result or we can say that the recognized text are nearly matched with the original one.
Keywords: Neural based OCR , Character segmentation ,character recognition, Back propagation neural network model, Unsupervised learning.

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A2544035115

IJSCE Journal — Fri, 01 Oct 2021 05:34:52 +0000

Calculated and Measured Dark Conductivity in P-Type Polycrystalline CdTe Thin Films
H. Mohssine¹, H. Bouhouch², F. Debbagh³¹Hassan Mohssine, Professor, High School of technology, Lasime Laboratory, Agadir, Morocco.
²Houcine Bouhouch, Professor, High School of technology, Agadir Morocco.
³Fouad Debbagh, Professor, LPSCM Laboratory, Marrakech Morocco.
Manuscript received on February 18, 2015. | Revised Manuscript received on February 28, 2015. | Manuscript published on March 05, 2015. | PP: 134-136 | Volume-5 Issue-1, March 2015. | Retrieval Number: A2544035115/2015©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 study we describe a numerical procedure for modeling the dark conductivity in a p-type polycrystalline Cadmium Telluride (CdTe). We base our approach on the comparison between measured and computed conductivity. For this purpose, the Fermi-Dirac statistic combined with the numerical solution of the charge neutrality equation allows to calculate the exact dark conductivity as function of the temperature. The results are then used to fit the experimental conductivity. Measures have been undertaken on CdTe thin films produced by r-f sputtering on glass substrates at room temperatures. It is shown that the amount of the experimental conductivity can be modeled, Quito precisely, by suitably choosing parameters of localized states, without needing complicated approaches like Mott and seto’s models. However, from a point of view of experimental fitting, it is verified, in accordance with our previous general treatment that the model’s parameters are not unique and cannot be derived from Arrhenius diagram analyses.
Keywords: Thins films, CdTe, Sputtering, Conductivity.

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A2538035115

IJSCE Journal — Fri, 01 Oct 2021 05:29:52 +0000

Regulating Building Contractors in Kenya and Challenges of Enforcing the National Construction Authority Mandate
Esther Njoki Gacheru¹, Stephen Onyango Diang’a²¹Esther Njoki Gacheru, Jomo Kenyatta University of Agriculture and Technology, Msc. Construction Project Planning and Management.
²Stephen Onyango Diang’a, Senior Lecturer Department of Construction Management, Jomo Kenyatta University of Agriculture and Technology (JKUAT).
Manuscript received on February 15, 2015. | Revised Manuscript received on February 26, 2015. | Manuscript published on March 05, 2015. | PP: 127-133 | Volume-5 Issue-1, March 2015. | Retrieval Number: A2506035115/2015©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 construction industry in Kenya has not had a regulating body since the disbandment of the National Construction Cooperation in 1988. The National Construction Authority (NCA) was then established in 2012 to regulate the construction sector and was mandated to register and regulate the undertakings of contractors. This research deals with the regulation of building contractors in Kenya and challenges of enforcing the NCA mandates. The main objective of this study is to investigate and document the challenges faced by the NCA in regulating building contractors in Kenya. Data was obtained from building contractors by means of questionnaires. The findings of the research indicated that the major challenges to the effectiveness of the NCA in registering and regulating the practices of building contractors include; corruption, poor sensitization, lack of proper organization of the NCA contractor training programs and centralization of the NCA services.
Keywords: Contractors, Kenya, NCA, regulation, registration.

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A2557035115

IJSCE Journal — Fri, 01 Oct 2021 05:24:29 +0000

Automatic Generation Control of Multi-Area Power Systems with Parallel EHVAC/ HVDC Inter-Ties
Ram Naresh Mishra¹, Prabhat Kumar²¹Ram Naresh Mishra, Assistant Professor, Department of Electrical Engineering, G.L.A. University, Mathura, Uttar Pradesh, India.
²Dr. Prabhat Kumar, Ex-Professor & Chairman, Department of Electrical Engineering, Aligarh Muslim University, Aligarh, Uttar Pradesh, India.
Manuscript received on February 14, 2015. | Revised Manuscript received on February 26, 2015. | Manuscript published on March 05, 2015. | PP: 119-126 | Volume-5 Issue-1, March 2015. | Retrieval Number: A2557035115/2015©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 applies the modern control theory to design optimal AGC regulators using full state vector feedback for multi-area interconnected hydro-thermal power systems and implemented under considerations in the wake of 1% step load perturbation in thermal/hydro area. For the present study, power system model consists of one area with reheat thermal power plant and two area with hydro power plants having identical capacity. The system interconnection is considered namely (I) EHVAC inter-ties only (II) EHVAC in parallel with HVDC interties. The dynamic model of incremental power flow through HVDC transmission link is derived based on frequency deviation at both rectifier and inverter ends. Moreover, the HVDC link is considered to be operating in constant current control mode. The system responses have been simulated in Mat lab. Responses of deviation in frequencies, deviation in tie line powers (EHVAC as well as HVDC) and integral of area control errors have been plotted for 3- area. Thus, on the basis of these responses, the dynamic performance of the system has been studied. Besides this, to study the closed loop system stability, the closed loop system eigen values are computed.
Keywords: Interconnected power systems; HVDC transmission links; System dynamic performance; EHVAC//HVDC transmission link; Optimal AGC regulator.

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A2548035115

IJSCE Journal — Fri, 01 Oct 2021 05:19:27 +0000

Development of Framework for Wireless Intelligent Landmines Tracking System Based on Fuzzy Logic
Salem S. M. Khalifa¹, Kamarudin Saadan², Norita Md Norwawi³¹Salem S. M. Khalifa is with Universiti Sains Islam Malaysia, Faculty of Science & Technology, Bandar Baru Nilai, 71800 Nilai, Negeri Sembilan, Malaysia.
²Dr: Kamarudin Saadan, is with Universiti Sains Islam Malaysia, Faculty of Science & Technology, Bandar Baru Nilai, 71800 Nilai, Negeri Sembilan, Malaysia.
³Professor DR. Norita Md Norwawi, is with Universiti Sains Islam Malaysia, Faculty of Science & Technology, Bandar Baru Nilai, 71800 Nilai, Negeri Sembilan, Malaysia.
Manuscript received on February 16, 2015. | Revised Manuscript received on February 27, 2015. | Manuscript published on March 05, 2015. | PP: 112-118 | Volume-5 Issue-1, March 2015. | Retrieval Number: A2518035115/2015©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 losses of developing countries from landmines accidents are very large. Thus, the need for new techniques to improve the efficiency of Landmines tracking systems is evident. In the recent years, many of research efforts have been directed to develop new and improved landmine detection methods. However, the increased costs of improving these methods led to drive up their prices. Thus they will not be available to the general public. The aim of this paper is to find a cheap and an effective method to help people for protecting and warning them from landmines risk during practiced their daily lives. In this context, this paper presents the design and development of framework for a Wireless Intelligent Landmines Tracking System (IWLTS) using mobile phone based on GPS and fuzzy logic. Proposed framework is really very helpful for the users who living near mine affected areas to track their children and themselves through Smart phones from landmines risk.
Keywords: Landmines, Fuzzy logic, Fuzzy set, MATLAB.

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IJSCE Journal — Thu, 30 Sep 2021 12:09:31 +0000

Development of a Soft Tool for Estimating Direct Runoff from Watersheds
V. S. Malunjkar¹, M. G. Shinde², R. D. Bansod³, A. A. Atre⁴¹Er. V.S. Malunjkar, Department of Soil and Water Conservation Engineering, Mahatma Phule Krishi Vidyapeeth, Rahuri [MH], India.
²Dr. M.G. Shinde, Department of Soil and Water Conservation Engineering, Mahatma Phule Krishi Vidyapeeth, Rahuri [MH], India.
³Dr. R.D. Bansod, Department of Soil and Water Conservation Engineering, Mahatma Phule Krishi Vidyapeeth, Rahuri [MH], India.
⁴Dr. A.A. Atre, Department of Soil and Water Conservation Engineering, Mahatma Phule Krishi Vidyapeeth, Rahuri [MH], India.
Manuscript received on February 15, 2015. | Revised Manuscript received on February 26, 2015. | Manuscript published on March 05, 2015. | PP: 110-111 | Volume-5 Issue-1, March 2015. | Retrieval Number: A2558035115/2015©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: Natural Resources Conservation Services-Curve Number (NRCS-CN) model is the most commonly used hydrological model for runoff estimation. This paper introduces about the interface developed to estimate curve number and runoff depth for hydrologic evaluations. The programming syntax was developed in Visual Basic 10.0 for its simplicity. The developed tool is easy to handle and can be useful for academicians, scientists and decision makes involved in watershed planning and development.
Keywords: Antecedent moisture condition, curve number
NRCS-CN method, runoff, watershed.

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A2546035115

IJSCE Journal — Thu, 30 Sep 2021 12:03:22 +0000

Performance Exploration of QoS parameters in MANET
D.V. Biradar¹, Praful P. Maktedar²¹Professor D. V. Biradar, Department of Information Technology, M. S. Bidve Engineering College, S. R. T. M. U. Nanded University, Latur, India.
²Professor Praful P. Maktedar, Department of Information Technology, M. S. Bidve Engineering College, S. R. T. M. U. Nanded University, Latur, India.
Manuscript received on February 20, 2015. | Revised Manuscript received on February 28, 2015. | Manuscript published on March 05, 2015. | PP: 107-109 | Volume-5 Issue-1, March 2015. | Retrieval Number: A2546035115/2015©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: Nowadays there are large applications expanding for the reliable transport of data packets from source node to the sink node amongst them Mobile Ad hoc network (MANET) has very vast extent of study. Different mobile sensor nodes are arbitrarily positioned in given network without having much loss of data packets in the network. It encompasses number of sensor nodes having inadequate processing power, communicating over a network. These sensors are scattered in specified network environment so that they gathers data, process that data and send it back to the destination. Various factors are affecting on data transmission process like reporting rate, packet size. Here by changing reporting rate, we calculate packet Delivery Ratio, Packet loss Ratio as well as throughput, control overheads and Energy consumption of a system.
Keywords: Mobile Ad hoc Network; Reliability; Reporting Rate; Packet Delivery ratio; Congestion Control.

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IJSCE Journal — Thu, 30 Sep 2021 11:57:38 +0000

An Approach of Combining Iris and Fingerprint Biometric At Image Level in Multimodal Biometrics System
S. M. Rajbhoj¹, P. B. Mane²¹S. M. Rajbhoj, Ph.D. Research Scholar, BVUCOE, Bharati Vidyapeeth University, Pune, India.
²Dr. P. B. Mane, Principal, AISSMS, Institute of Information Technology Pune, India.
Manuscript received on February 20, 2015. | Revised Manuscript received on February 28, 2015. | Manuscript published on March 05, 2015. | PP: 102-106 | Volume-5 Issue-1, March 2015. | Retrieval Number: A2545035115/2015©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: Biometric systems depending on single source of information has many limitations. These are noisy input data, inability to enroll, unacceptable error rates, universality of traits and spoofing. Multimodal biometric system overcomes these limitations by combining information from multiple sensors. In Image fusion usually images are extracted from single trait using different sensors. This type of fusion is generally used when feature set are homogenous. In this paper a multibiometric system using image level fusion of two most used biometric traits, fingerprint and iris is proposed. The feature set obtained from iris and fingerprint images are incompatible, non-homogenous and relationship between them is not known. Here the pixel information is fused at image or feature level. A unique feature vector is constructed from the textural information of fused image of fingerprint and iris. Feature vector is stored as template and used for matching. Matching is carried using Hamming distance. The proposed framework is evaluated using standard database and database created by us. The system overcomes limitation of unimodal biometric system and equal error rate of 0.4573 has been achieved.
Keywords: biometric, fingerprint, iris; wavelet transform, texture, feature level, fusion, hamming distance.

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A2540035115

IJSCE Journal — Thu, 30 Sep 2021 11:51:32 +0000

Automatic Breast Boundary Segmentation of Mammograms
R. R. Nanayakkara¹, Y. P. R. D. Yapa², P. B. Hevawithana³, P. Wijekoon⁴¹R. R. Nanayakkara, Postgraduate Institute of Science, University of Peradeniya, Sri Lanka.
²Y. P. R. D. Yapa, Department of Statistics & Computer Science, Faculty of Science, University of Peradeniya, Sri Lanka.
³P. B. Hevawithana, Department of Radiology, Faculty of Medicine, University of Peradeniya, Sri Lanka.
⁴P. Wijekoon, Department of Statistics & Computer Science, Faculty of Science, University of Peradeniya, Sri Lanka.
Manuscript received on February 19, 2015. | Revised Manuscript received on February 29, 2015. | Manuscript published on March 05, 2015. | PP: 97-101 | Volume-5 Issue-1, March 2015. | Retrieval Number: A2540035115/2015©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: Accurate breast boundary estimation and segmentation of breast tissue region from the background of the mammogram image is an important pre-processing task in computer-aided diagnosis of breast cancer. This paper presents an automated system to estimate skin-line and breast segmentation. The proposed method is based on automatic seed region selection, modified fast marching algorithm to propagate the seed region and automatic boundary point selection with intensity gradient information to initial boundary estimation and morphological operators to final boundary estimation and breast tissue region segmentation. Performance of the proposed method was tested by using 136 mammogram images with all types of breast tissues taken from mini-MIAS database. The results obtained from the experimental evaluation indicate that the sensitivity of this algorithm is 99.2% of the ground truth breast region and accuracy of the segmentation is 99.0%. By analyzing the results we can conclude that this system is capable of estimate the breast boundary and segment the breast area from background for all three types of breast tissues with high accuracy level.
Keywords: Breast Cancer, Mathematical Morphology, Modified Fast Marching Algorithm.

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The post A2540035115 appeared first on International Journal of Soft Computing and Engineering (IJSCE).