Volume-7 Issue-2, May 2017 – International Journal of Soft Computing and Engineering (IJSCE)

B3003057217

IJSCE Journal — Wed, 29 Sep 2021 12:11:40 +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 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Behavior Description of Monetary and Fiscal Policy Factors That Impact Construction Output in Kenya for the Period 2000 – 2013
Emmanuel Thyaka Mbusi¹, Moses Mitau Mulwa²¹Emmanuel Thyaka Mbusi, B Phil. Tech. Construction Management (UON), HDIP Valuation and Estate Management, Technical University of Kenya, Nairobi, Kenya.
²Moses Mitau Mulwa, M.A. Technical University of Kenya, Nairobi, Kenya.
Manuscript received on April 20, 2017. | Revised Manuscript received on April 27, 2017. | Manuscript published on March 05, 2017. | PP: 36-40 | Volume-7 Issue-2, May 2017. | Retrieval Number: B3003057217/2017©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 main function of construction industry in the world is provision of physical and constructed facilities to give other activities space for taking place as seen in Hillebrandt, (2000). She further observes that, these physical and constructed facilities are referred to as construction output and are usually quantified in monetary terms. This quantification is done by Kenya National Bureau of Statistics in this country. Construction industry in Kenya mostly maintains a steady and an upward trend in its growth. Recently; 2013 and 2014, an economic survey report released by Kenya National Bureau of Statistics (KNBS) indicated that Kenya’s building and construction as having contributed 4.8% to the Gross Domestic Product (GDP). The GDP had risen from Kshs.4.73 trillion to Kshs.5.36 trillion in 2014 as Macharia, (2015) indicates. This gives a clear picture that the sector is growing, though at a little bit slow pace. Description of the behavior of monetary and fiscal policy factors in Kenya was thought of as a means of enlightening the construction sector stakeholders and players about their existence. The factors play a major role in decision making regarding construction projects anywhere in the world, but they are usually not accounted for keenly at this crucial stage of decision making. Time series data was collected from KNBS and CBK on quarterly basis for the period starting from 2000 up to 2013, for the five factors. These data showed varied behavior; some displayed upward trends while others showed a zigzag behavior. Conclusion was drawn that in Kenya, there are five monetary and fiscal policy factors that have influence on construction output and therefore policy makers, stakeholders and players in the construction sector should ensure a keen consideration of the factors during decision making stage. This will avert the problem of many construction projects stalling and ensure steady growth of the sector. This shall therefore contribute towards achieving the much taunted two digit growth of the country’s GDP.
Keywords: Construction output, fiscal policy, monetary policy, time series.

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B3001057217

IJSCE Journal — Wed, 29 Sep 2021 12:06:18 +0000

Some Studies on Energy of Triple Connected Graphs
Vijayalakshmi.B¹, Amreen Atiq², Jyoti Bhadoriya³, Nithya⁴ ¹Vijayalakshmi.B, Assistant Professor, Department of Mathematics (P.G), Mount Carmel College, Bengaluru (Karnataka). India.
²Amreen Atiq, Department of Mathematics (P.G), Mount Carmel College, Bengaluru (Karnataka). India.
³Jyoti Bhadoriya, Department of Mathematics (P.G), Mount Carmel College, Bengaluru (Karnataka). India.
⁴Nithya, Department of Mathematics (P.G), Mount Carmel College, Bengaluru (Karnataka). India.
Manuscript received on April 21, 2017. | Revised Manuscript received on April 28, 2017. | Manuscript published on March 05, 2017. | PP: 5-10 | Volume-7 Issue-2, May 2017. | Retrieval Number: B2975057217/2017©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 field of mathematics plays a vital role in various fields, one of the important areas in mathematics is graph theory. The concept of connectedness plays an important role in any networks.Let G be a simple graph with n vertices and m edges. The ordinary energy of a graph is defined as sum of absolute values of eigen values of its adjacency matrix. In recent times analogous of energies are being considered based on eigen values of variety of other graph matrices. In this paper we analyzed various energies of triple connected graphs and obtained bounds
Keywords: Energy, eigen values, triple connected graphs, incidence energy, AMS Mathematics Subject Classification (2010): 05C78.

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B2993057217

IJSCE Journal — Wed, 29 Sep 2021 12:00:34 +0000

To Improve Performance Response of Economic Load Dispatch by using Optimization Technique
Harmandeep Kaur¹, Vijay Kumar Joshi² ¹Harmandeep Kaur, Department of Computer Science, Ludhiana College of Engineering and Technology, Katani, Ludhiana (Punjab), India,
²Dr. Vijay Kumar Joshi, Department of Computer Science, Ludhiana College of Engineering and Technology, Katani, Ludhiana (Punjab), India,
Manuscript received on April 21, 2017. | Revised Manuscript received on April 28, 2017. | Manuscript published on March 05, 2017. | PP: 28-32 | Volume-7 Issue-2, May 2017. | Retrieval Number: B2993057217/2017©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 power systems are grown in complexity of power demands. The focus is shifted to enhance the performance of power system, customer focus, increasing the reliability, clear power and reducing cost. Optimal system includes the economy of operation, fuel costs, system security with the aim of improving the efficiency of electric power system. The Economic load dispatch is the scheduling of power generators with respect to the load to minimize the total cost of transmission and operational costs of generating units while meeting the constraints. The objective of the ELD is to allocate the total transmission loss and total load demand among power plants while satisfying the operational constraints simultaneously. This paper presents solution for improvement of performance response of ELD by using genetic algorithm and fuzzy logic optimization approaches.
Keywords: Economic load dispatch, optimization, fuzzy logic, genetic algorithm.

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B2989057217

IJSCE Journal — Wed, 29 Sep 2021 11:54:54 +0000

Systematic Investment Plan Date Prediction
Abhishek Bhatt¹, Romil Gopani², Lukash Chaddwa³, Gajanan Bherde⁴¹Abhishek Bhatt, Student, Department of Computer Engineering, K. J. Somaiya College of Engineering, Mumbai (Maharashtra), India.
²Romil Gopani, Student, Department of Computer Engineering, K. J. Somaiya College of Engineering, Mumbai (Maharashtra), India.
³Lukash Chhadwa, Student, Department of Computer Engineering, K.J. Somaiya College of Engineering, Mumbai (Maharashtra), India.
⁴Gajanan Bherde, Professor, Department of Computer Engineering, K. J. Somaiya College of Engineering, Mumbai (Maharashtra), India.
Manuscript received on April 23, 2017. | Revised Manuscript received on April 29, 2017. | Manuscript published on March 05, 2017. | PP:25-27 | Volume-7 Issue-2, May 2017. | Retrieval Number: B2989057217/2017©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: Neural networks have been used on variety of prediction problems in field of finance. Mutual funds in particular SIP (Systematic Investment Plan) have been very lucrative form of high gain investment in recent years [A3]. In the paper, we have proposed a way to maximize investors return by providing an insight on possible values of NAV thought the month in the beginning of the month so they can buy units at Low rates. We have used artificial neural network (ANN) along with resilient propagation algorithm for prediction. We want to create a system which will help an investor to gain more profit compared to another investor investing in the same SIP. The proposed system will notify the user the date on which investment to be made to maximize profit. Results of our experiment have been attached which shows good performance on HDFC TOP 200 fund (G).
Keywords: Systematic Investment Plan, Mutual Fund, Artificial Neural Net.

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B2986057217

IJSCE Journal — Wed, 29 Sep 2021 11:49:24 +0000

Enhance Decision Tree Techniques on Mobile Environment in Data Mining
Parminder Singh¹, Amarjit Kaur² ¹Er. Parminder Singh, Assistant Professor & Head, Department of Computer Science and Engineering, Ramgarhia Institute of Engineering & Technology, Phagwara (Punjab), India.
²Er. Amarjit Kaur, M.Tech Scholar, Department of Computer Science and Engineering, Ramgarhia Institute of Engineering & Technology, Phagwara (Punjab), India.
Manuscript received on April 22, 2017. | Revised Manuscript received on April 29, 2017. | Manuscript published on March 05, 2017. | PP: 22-24 | Volume-7 Issue-2, May 2017. | Retrieval Number: B2986057217/2017©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: There are several techniques that are used in data mining, each one having advantages but also disadvantages. To find out which one is most appropriate for our case, when we want to use our databases in a decision-make process we need to have information about our data business and data mining techniques. Alternatively we can try them all and find out which one is the best in our case. This research is based on the findings maximum use of mobile service. The results in this report are based on data from mobile service related. As we look at Data Mining tools, we see that there are different algorithms used for creating a decision making (or predictive analysis) system. There are algorithms for creating decision trees such as ID3 and CART along with algorithms for determining known nearest neighbor or clustering when working on classification. The goal of this research is to look at one particular decision tree algorithm called enhanced algorithm and how it can be used with data mining for mobile service. The purpose is to manipulate vast amounts of data and transform it into information that can be used to make a decision.
Keywords: Techniques, advantages, appropriate (or predictive analysis), CART, ID3, Alternatively.

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B2988057217

IJSCE Journal — Wed, 29 Sep 2021 11:42:16 +0000

Hardware Implementation of Fuzzy Logic Controller for Triple-Lift Luo Converter
N. Dhanasekar¹, R. Kayalvizhi² ¹N. Dhanasekar, Associate Professor, Department of Electrical and Electronics Engineering, A.V.C College of Engineering, Mayiladuthurai, India.
²Dr. R. Kayalvizhi, Professor, Department of Electronics and Instrumentation Engineering, Annamalai University, India.
Manuscript received on April 22, 2017. | Revised Manuscript received on April 29, 2017. | Manuscript published on March 05, 2017. | PP: 17-21 | Volume-7 Issue-2, May 2017. | Retrieval Number: B2988057217/2017©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: Positive output Luo converters are a series of new DC-DC step-up (boost) converters, which were developed from prototypes using voltage lift technique. These converters perform positive to positive DC-DC voltage increasing conversion with high power density, high efficiency and cheap topology in simple structure. They are different from other existing DC-DC step-up converters with a high output voltage and small ripples. Triple lift LUO circuit is derived from positive output elementary Luo converter by adding the lift circuit three times. Due to the time varying and switching nature of the Luo converters, their dynamic behavior becomes highly non-linear.The classical control methods employed to design the controllers for Luo converters depend on the operating point so that it is very difficult to select control parameters because of the presence of parasitic elements, time varying loads and variable supply voltages. Conventional controllers require a good knowledge of the system and accurate tuning in order to obtain the desired performances. A Fuzzy Logic Controller(FLC) is a soft computing technique which neither requires a precise mathematical model of the system nor complex computations. Hence in this research work, design and hardware implementation of fuzzy logic controller have been carried out using TMS320C242 DSP for the Triple-lift Luo converter .The experimental results are presented and analyzed under line and load disturbances.
Keywords: Fuzzy Logic Controller, Triple-lift Luo converter, Digital Signal Processor (DSP).

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B2977057217

IJSCE Journal — Wed, 29 Sep 2021 11:34:58 +0000

Authentication and Encryption Based Cloud Data Access Privilege with Load Balancing Technique
R.V. Patil¹, Aishwarya Bhosale², Ramdas Choramale³, Shiwani Tummulwar⁴, Vaibhav Rajguru⁵¹Dr. R.V. Patil, Department of Computer Engineering, PDEA’s COEM, Pune (Maharashtra) India.
²Aishwarya Bhosale, Department of Computer Engineering, PDEA’s COEM, Pune (Maharashtra) India.
³RamdasChoramale, Department of Computer Engineering, PDEA’s COEM, Pune (Maharashtra) India.
⁴ShiwaniTummulwar, Department of Computer Engineering, PDEA’s COEM, Pune (Maharashtra) India.
⁵VaibhavRajguru, Department of Computer Engineering, PDEA’s COEM, Pune (Maharashtra) India.
Manuscript received on April 21, 2017. | Revised Manuscript received on April 27, 2017. | Manuscript published on March 05, 2017. | PP: 14-16 | Volume-7 Issue-2, May 2017. | Retrieval Number: B2977057217/2017©BEIES
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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: Cloud computing is a booming computing branch in which consists of a virtualized set of highly scalable computing resources and provided as an internet based computing where many users upload, download and modify data with cloud users. Problems in cloud computing are sharing data in a multi users, while data preservation and privacy of identity from a nontrustable cloud is still a challenge, due to the frequent change of the members of cloud. By allowing group signature and encryption techniques, any cloud user can anonymously share data with others. The main is to provide secure multi-owner data sharing in large groups. This poses a security challenge to the data stored on the cloud. As the result, the encryption cost is reduced; storage overhead and scheme are not dependent on the number of removed users with proof and experiments
Keywords: Cloud, Server, Encryption, Decryption, Anonymity, Shared authority.

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B2972057217

IJSCE Journal — Wed, 29 Sep 2021 11:28:50 +0000

ATS: A New Way To Deal With Security of Public Places
Snehal S Awasare¹, Pratiksha K Chavan², Shital S Patil³, Ajinkya C Bapat⁴ ¹Snehal S Awasare, Department of Electronics and Telecommunication Engineering, Nanasaheb Mahadik College of Engineering, Peth (Maharashtra). India.
²Pratiksha K Chavan, Department of Electronics and Telecommunication Engineering, Nanasaheb Mahadik College of Engineering, Peth (Maharashtra). India.
³Shital S Patil, Department of Electronics and Telecommunication Engineering, Nanasaheb Mahadik College of Engineering, Peth (Maharashtra). India.
⁴Ajinkya C Bapat, Department of Electronics and Telecommunication Engineering, Nanasaheb Mahadik College of Engineering, Peth (Maharashtra). India.
Manuscript received on April 22, 2017. | Revised Manuscript received on April 29, 2017. | Manuscript published on March 05, 2017. | PP: 13-11 | Volume-7 Issue-2, May 2017. | Retrieval Number: B2972057217/2017©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: With the rising concern of the security at public places it is essential to find a solution to this issue.CCTV cameras only captures the movement and we need to monitor that continuously. Therefore it is necessary to design a system which can invigilate and traced out the suspicious object in real time without any human efforts. This paper is proposing an idea to develop a system which could find a threatening object and alert the security agencies about it. The proposed system will also have provision of IoT with an effective cryptographic technique to ensure the authenticity. A technologically improved system will surely boost up the security at public places over the traditional system.
Keywords: Public place security, Image processing, IoT, Cryptography.

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B2975057217

IJSCE Journal — Wed, 29 Sep 2021 11:20:55 +0000

A Comparative Study On: Nosql, Newsql and Polygot Persistence
Shagufta Praveen¹, Umesh Chandra²¹Shagufta Praveen, Research Scholar, Department of Computer Science, Glocal University, Saharanpur (Uttar Pradesh), India.
²Dr. Umesh Chandra, Assistant Professor, Department of Computer Science, Glocal University, Saharanpur (Uttar Pradesh), India.
Manuscript received on April 21, 2017. | Revised Manuscript received on April 28, 2017. | Manuscript published on March 05, 2017. | PP: 5-10 | Volume-7 Issue-2, May 2017. | Retrieval Number: B2975057217/2017©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: After a long journey of decades, most of the leading web applications opted for non-relational database. Traditional database exist for so long but data mining application doesn’t find relational database as a right choice for it. NoSQL movement was a question mark for the future of SQL. The High Volume, rich heterogeneity and speedy velocity of data generation in entire world is responsible for the Big Data. NoSQL was introduced to us for resolving scalability issues but consistency issue after scalability moved us from NoSQL to NewSQL. This paper emphasizes about NoSQL and NewSQL and it also highlights the reason for recent arrival of Polygot Persistence. Both technologies are distinguished with the help of some parameters (Models, Properties and as per Current Scenario need).
Keywords: Big Data, Database, Polygot Persistence, NewSQL, NoSQL.

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The post B2975057217 appeared first on International Journal of Soft Computing and Engineering (IJSCE).

B2973057217

IJSCE Journal — Wed, 29 Sep 2021 11:14:38 +0000

Identifying Efficient Frequency Standards of Wireless Network
Priyanka B Karande¹, Rupali S Kumbhar², Priydarshanee A Pawale³, Ajinkya. C. Bapat⁴ ¹Priyanka B Karande, Department of Electronics & Telecommunication of Engineering, Nanasaheb Mahadik College of Engineering, Peth (Maharashtra), India.
²Rupali S Kumbhar, Department of Electronics & Telecommunication of Engineering, Nanasaheb Mahadik College of Engineering, Peth (Maharashtra), India.
³Priydarshanee A Pawale, Department of Electronics & Telecommunication of Engineering, Nanasaheb Mahadik College of Engineering, Peth (Maharashtra), India.
⁴Ajinkya.C.Bapat, Department of Electronics & Telecommunication of Engineering, Nanasaheb Mahadik College of Engineering, Peth (Maharashtra), India.
Manuscript received on April 20, 2017. | Revised Manuscript received on April 25, 2017. | Manuscript published on May 05, 2017. | PP: 1-4 | Volume-7 Issue-2, May 2017. | Retrieval Number: B2973057217/2017©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley
©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: For encouraging wireless network contineous improvement is important. this is done by comparing related protocol and resulting the efficient protocol. this paper shows the overview of IEEE 802.15.4(x-bee),802.11(wifi),802.16(wimax) and carefully observed the comparision between them on the basis of Throughput,PDR,Delay and energy through simulation on NS2s. On the basis of observed results, this paper proved the Efficient Standards among xbee wifi & wimax.
Keywords: Throughput, End to end delay, Power consumption, Packet delivery ratio, NS2.

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