Volume-8 Issue-3, January 2019 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

C2613018319

IJITEE Journal — Fri, 16 Dec 2022 09:36:57 +0000

The International Journal of Innovative Technology and Exploring Engineering (IJITEE) has ISSN: 2278-3075 (online), an open-access, peer-reviewed, periodical monthly international journal. This journal is published by Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) in January, February, March, April, May, June, July, August, September, October, November and December.The journal aims to publish high–quality peer–reviewed original articles in the area of Engineering and Technology that covers Computer Science and Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering and all interdisciplinary streams of Engineering and Technology. #Smart Computing and Information Processing #Signal and Speech Processing #Image Processing and Pattern Recognition #WSN#Artificial Intelligence and machine learning #Data mining and warehousing #Data Analytics #Deep learning #Bioinformatics #High Performance computing #Advanced Computer Networking #Cloud Computing #IoT #Parallel Computing on GPU #Human Computer Interactions #Recent Trends in Microelectronics and VLSI Design #Process & Device Technologies #Low-Power Design #Nanometer-Scale Integrated Circuits #Application specific ICs (ASICs) #FPGAs #Nanotechnology #Nano Electronics and Quantum Computing #3. Challenges of Industry and their Solutions, Communications #Advanced Manufacturing Technologies #Artificial Intelligence #Autonomous Robots #Augmented Reality #Big Data Analytics and Business Intelligence #Cyber Physical Systems (CPS) #Digital Clone or Simulation #Industrial Internet of Things (IIoT) #Manufacturing IoT #Plant Cyber Security #Smart Solutions – Wearable Sensors and Smart Glasses #System Integration #Small Batch Manufacturing #Visual Analytics #Virtual Reality #3D Printing # Internet of Things (IoT) #Internet of Things (IoT) & IoE & Edge Computing #Distributed Mobile Applications Utilizing IoT #Security, Privacy and Trust in IoT & IoE #Standards for IoT Applications #Ubiquitous Computing #Block Chain-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 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Influence of Perlite and Glass Fiber on the Compresive, Split Tensile and Flexural Strength of Concrete Incorproting Glass Fiber
M.Rajendran¹, N.Lavanya²
¹M.Rajendran, Department of Civil Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
²N.Lavanya, Department of Civil Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
Manuscript received on 05 January 2019 | Revised Manuscript received on 13 January 2019 | Manuscript published on 30 January 2019 | PP: 185-188 | Volume-8 Issue-3, January 2019 | Retrieval Number: C2613018319/19©BEIESP
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© The Authors. 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: Concrete is used most asconstructionmaterial than any material in the world. Concrete is used because it can be casted by anyone even in site itself. 60to80 percent aggregate occupies concrete volume and influence the concrete properties,mixproportions and economy. The properties likecompressive strength &fireresistance can be increased by adding perlite in concrete and it reduces weight crack resistance & environmental impact.The researchintention istoinvestigate the structural properties of of perlite-glassfiber concrete. 20%, 35% &50% of fine aggregate by weight is replaced by perlite. In additiontothat glass fiber material is added by 0.2%, 0.4% and 0.6%withrespect to the volume of the concrete in order to increasethetransverse rupture strength and the compressive strength considerably. Glass fiber is very good insulation to electricity andbetterresistance to chemical impact. The intentionof this study istoincrease strength and create environment friendlyconcrete. Test result indicated that replacing fine aggregate of quantity 35% with perlite results in higher compressive strength and addition of 0.6% glass fiber has yielded higher flexural strength of M30 grade concrete.
Keyword: Perlite, Glass Fiber, Compressive Strength Test, Split Tensile Test, Flexural Strengthtest.
Scope of the Article: Concrete Engineering

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C2612018319

IJITEE Journal — Fri, 16 Dec 2022 09:31:30 +0000

Optimization of Maximum Power Point Tracking Algorithm using Artificial Intelligence
A.Nandha Kumar¹, R. Senthilkumar², T. Alex Stanley Raja³, K. V. Santhoshkumar⁴
¹A.NandhaKumar, Department of Electrical and Electronics Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
²R.Senthilkumar, Department of Electrical and Electronics Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
³T.Alex Stanley Raja, Department of Electrical and Electronics Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
⁴K.V. Santhosh Kumar, Department of Electrical and Electronics Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
Manuscript received on 05 January 2019 | Revised Manuscript received on 13 January 2019 | Manuscript published on 30 January 2019 | PP: 181-184 | Volume-8 Issue-3, January 2019 | Retrieval Number: C2612018319/19©BEIESP
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© The Authors. 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 highlights the maximum power point tracking algorithm for a photovoltaic array operating under different levels of solar irradiation using Particle Swarm Optimization (PSO). Further the photovoltaic array produces two or more maximum power points for different temperature conditions. Thus it is difficult to find the correct MPP using conventional method. In order to reduce this difficulty the MPP is obtained using Particle Swarm Optimization Technique. The feasibility of the new system is verified using MATLAB/SIMULINK simulation and its performance is analyzed.
Keyword: Photovoltaic Array, MPPT, Particle Swarm Optimization, Boost Converter, Photo Voltalic Inverter.
Scope of the Article: Web Algorithms

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C2629018319

IJITEE Journal — Fri, 16 Dec 2022 09:24:07 +0000

Fusion of Iris Texture with Finger Vein Geometry for Authentication
Sudhamani M J¹, M K Venkatesha²
¹Sudhamani M. J, RNS Institute of Technology, Bengaluru (Karnataka), India.
²M.K Venkatesha, RNS Institute of Technology, Bengaluru (Karnataka), India.
Manuscript received on 05 January 2019 | Revised Manuscript received on 13 January 2019 | Manuscript published on 30 January 2019 | PP: 176-180 | Volume-8 Issue-3, January 2019 | Retrieval Number: C2629018319/19©BEIESP
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© The Authors. 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: A framework for feature level fusion-based authentication system is proposed in this paper. Feature level fusion improves the robustness and classification accuracy compared to unimodal authentication system. This work is carried in two-folds. The first experiment fuses the translation, rotation and scale (TRS) invariant statistical features of iris with finger vein. The second experiment contemplates geometrical, structural and statistical properties of finger vein with local and statistical features of iris.
Keyword: Fusion Texture Authentication Classification.
Scope of the Article: Authentication, Authorization, Accounting

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C2628018319

IJITEE Journal — Fri, 16 Dec 2022 09:17:13 +0000

Verification of JESD204BTX Soft IP using Universal Verification Methodology
Vinay P¹, Shylashree N²
¹Vinay P, M.Tech Student, VLSI Design & Embedded System, Rashtreeya Vidyalaya College of Engineering, Bengaluru (Karnataka), India.
²Shylashree N, Associate Professor, Department of ECE, Rashtreeya Vidyalaya College of Engineering, Bengaluru (Karnataka), India.
Manuscript received on 05 January 2019 | Revised Manuscript received on 13 January 2019 | Manuscript published on 30 January 2019 | PP: 166-175 | Volume-8 Issue-3, January 2019 | Retrieval Number: C2628018319/19©BEIESP
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© The Authors. 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: JESD204B transmitter is a part of the serialized data interface between logic devices and data converters bases on the JESD204B standards. The organization, where this project is currently executed, is currently developing the JESD204B Tx and Rx IP for the avionics spacecraft applications where the fail proof and function safe and reliable data communication is essential. The verification of this IP is an important phase in the development wherein it is extremely important to perform rigorous tests on the design to confirm its acclaimed functionality and performance. The verification of an IP of this complexity is done in a systematic and efficient way using the Universal Verification Methodology which is basically constructed using the SystemVerilog. A verification environment is built using the UVM to verify the functionality of the IP. The test cases are written to verify each functionality of the design and the randomized stimuli are applied to cover all the possible input scenarios. The code coverage and the functional coverage is determined and further stimuli are applied to achieve the target coverage. The verification of the JESD204B Transmitter IP is completed with a functional coverage of around 39.17% for each test instance and an overall functional coverage of 100% and code coverage of 94.25%. The verification environment can be reused with minor changes to verify the JESD204B Receiver IP.
Keyword: Coverage, IP verification, JESD204B, Universal Verification Methodology.
Scope of the Article: Soft Computing

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C2627018319

IJITEE Journal — Fri, 16 Dec 2022 09:10:42 +0000

Shortest-Path Routing in Wireless Mesh Networks under Time Varying Link-Cost Metric
Nandini K. S¹, S.A. Hariprasad²
¹Nandini K. S, Research Scholar, Department of Electronics and Communication Engineering, Jain University, Bangalore (Karnataka), India.
²S.A. Hariprasad, Director, Department of Engineering and Technology, Jain University, Bangalore (Karnataka), India.
Manuscript received on 05 January 2019 | Revised Manuscript received on 13 January 2019 | Manuscript published on 30 January 2019 | PP: 153-165 | Volume-8 Issue-3, January 2019 | Retrieval Number: C2627018319/19©BEIESP
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© The Authors. 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 wireless Mesh Network, with cognitive radios, the cost of the available communication links can vary with respect to time due to the schedules of the primary users. Under this condition, to find the time dependent shortest paths for the secondary users is a challenging task. At a particular time slot, if no forward links are available at a node, the data packet which has just arrived have to halt (or wait) until the availability of one or more forward paths. Then the data packet suffers halting delay. Thus the overall arrival time could be more than that of an alternate path. Therefore, in this paper we provide an innovative method of reducing the halts along the path. We also have to minimize the length of the topological (physical) distance along the selected path. Thus, in our paper, two objectives, the earliest arrival time as well as minimum shortest topological path, are realized. The weight assigned to each objective can be adjusted according to the requirements. To solve this bi-objective optimization problem, we propose a new modification to the well-known Dijkstra shortest path algorithm which takes care of the actual link cost and also the halting cost.
Keyword: Cognitive Radio Network, Spectrum Sensing, Secondary users, Time dependent cost Matrices, Probability of Interference, Optimal Assignment.
Scope of the Article: Heterogeneous Wireless Networks

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C2626018319

IJITEE Journal — Fri, 16 Dec 2022 08:59:43 +0000

Optimization Driven Beam Forming in 2D Linear Array for MIMO Systems
P.N. Jayanthi¹, S. Ravishankar²
¹P.N. Jayanthi, Research Scholar, Department of Electronics and Communication Engineering, Rashtreeya Vidyaneekethan College of Engineering , Bengaluru (Karnataka), India.
²Dr. S Ravishankar, Professor, Department of Electronics and Communication Engineering, Rashtreeya Vidyaneekethan College of Engineering , Bengaluru (Karnataka), India.
Manuscript received on 05 January 2019 | Revised Manuscript received on 13 January 2019 | Manuscript published on 30 January 2019 | PP: 145-152 | Volume-8 Issue-3, January 2019 | Retrieval Number: C2626018319/19©BEIESP
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© The Authors. 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 advancements in the multimedia applications gained the attention of users and are considered as an important technique for wireless networks. Multiple Input Multiple Output (MIMO) systems depend on the wireless channels propagation. This work proposes a technique, named Exponential-Monarch Butterfly Optimization (Exponential-MBO), for initiating beamforming in 2D linear array under a MIMO system. The proposed Exponential-MBO algorithm is responsible for computing the optimal weights for the beamforming in the MIMO systems. At first, the preferred beam pattern attributes for the 2D array in the MIMO system are described using the initial beam patterns. Then, the fitness function of Exponential-MBO is derived to determine the pattern attributes in the required direction using the azimuth and the elevation beam pattern. The proposed Exponential-MBO algorithm determines the optimal weights for generating the patterns for beamforming in the MIMO system. The channel is estimated using the Least Square (LS) channel estimation method along with Quadrature Amplitude Modulation (QAM) multi-carrier modulation. The implementation of the proposed Exponential-MBO is in MATLAB, and its performance is evaluated by varying the channel. The proposed Exponential-MBO shows superior performance in terms of power gain and Bit Error Rate (BER).
Keyword: MIMO-OFDM, Beamforming, Elevation Beam Pattern, Azimuth, QAM-Multi-Carrier.
Scope of the Article: Discrete Optimization

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C2625018319

IJITEE Journal — Fri, 16 Dec 2022 08:49:58 +0000

Study and Identification of Adhayyan Framework in CBSE Schools of India and UAE
Aniket Srivastava¹, Parul Verma², AtulPati Tripath³
¹Aniket Srivastava, Research Scholar, Amity Institute of Information Technology, Amity University, Lucknow Campus, Lucknow (U.P), India.
²Dr. Parul Verma, Assistant Professor, Amity Institute of Information Technology, Amity University, Lucknow Campus, Lucknow (U.P), India.
³Dr. Atul Pati Tripathi, Lead Facilitator ICT Info Tool-Kit for Education, UNESCO Asia Pacific Region (New Delhi), India
Manuscript received on 05 January 2019 | Revised Manuscript received on 13 January 2019 | Manuscript published on 30 January 2019 | PP: 141-144 | Volume-8 Issue-3, January 2019 | Retrieval Number: C2625018319/19©BEIESP
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© The Authors. 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: Digital Learning has become the key rationale behind any student learning process success today. M-learning(market is still untouched and niche. Digital pedagogy based content has bridged the demand and supply gap in M-learning market, through shifting interactive board & projector to hand held device model, which is conceptualized as a personalized learn-ing strategy. Primarily due to the exponential growth of ICT tools in India(8) and UAE, the ICT tools has made the balance between e-learning and M-learning solutions to more Students. Integration and synergy between E-learning and M-learning model cover many schools of India and UAE. Tier I by M-learning and Tier II/ Tier III by E-learning model. Making of the affordable pricing system for both ICT Solutions makes this more acceptable to schools towards both spaces. This paper study provides a detailed view of digital pedagogy foundation concept, integration of e-learning to M-learning, unique digital pedagogy, innovative. The Information and Communication Technology (ICT) sector has exponential growth in the last two decade. India and UAE are now consider as a global leader in ICT industry by its low operational cost, availability of high intelligence pool and remote delivery model. ICT can be divided into two categories; one is Information Technology, while other is Communication Technology. It boasts of a rapidly growing global IT market. The dramatic boom of the IT sector in India and UAE has played an important role in transforming the country education system with the identification of Adhayyan Framework for informal education setup.
Keyword: ICT, E-Learning, M-learning, Digital Pedagogy.
Scope of the Article: Machine Learning

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C2624018319

IJITEE Journal — Fri, 16 Dec 2022 07:45:25 +0000

Heart Disease Prediction using Data Mining with Mapreduce Algorithm
T.Nagamani¹, S.Logeswari², B.Gomathy³
¹T. Nagamani, Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
²Dr. S. Logeswari, Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
³Dr. B. Gomathy, Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
Manuscript received on 05 January 2019 | Revised Manuscript received on 13 January 2019 | Manuscript published on 30 January 2019 | PP: 137-140 | Volume-8 Issue-3, January 2019 | Retrieval Number: C2624018319/19©BEIESP
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© The Authors. 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 World Health Organization (WHO) estimated that cardiovascular diseases (CVD) are the major cause of mortality globally, as well as in India. They are caused by disorders of the heart and blood vessels, and includes coronary heart disease (heart attacks), Data mining acts as a major role in the construction of an intellectual prediction model for healthcare systems to detect Heart Disease (HD) using patient data sets, which support doctors in diminishing mortality rate due to heart disease. Several researches have been carried out for building model using individually or by combining the Data Mining with computational techniques involving Decision tree (DT), Naïve bayes (NB) along with Meta-heuristics approach, Trained Neural Network (NN), Machine intelligence or AI and unsupervised learningalgorithms like KNN and Support vector machine (SVM). In the proposed system, large set of medical instances are taken as input. From this medical dataset, it is aimed to extract the needed information from the record of heart patients using Mapreduce technique. The performance of the proposed Mapreduce Algorithm’s implementation in parallel and distributed systems was evaluated by using Cleveland dataset and compared with that of the predictable ANN method. The trial results verify that the projected method could achieve an average prediction accuracy of 98%, which is greater than the conventional recurrent fuzzy neural network. In addition, this Mapreduce technique also had better performance than previous methods that reported prediction accuracies in the range of 95– 98%. These findings suggest that the Mapreduce technique could be used to accurately predict HD risks in the clinic.
Keyword: Data Mining, Cardiovascular Diseases (CVD), Accuracy, Prediction, Heart Disease (HD), Recurrent Fuzzy Neural Network(RFNN), Mapreduce, World Health Organization (WHO).
Scope of the Article: Data Mining Methods

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C2623018319

IJITEE Journal — Fri, 16 Dec 2022 07:41:00 +0000

Photo Voltaic Powered Voltage Source Inverter for Single Phase Induction Motor with MPPT Algorithm
A. Nandha Kumar¹, R. Senthilkumar², T. Alex Stanley Raja³, K.V.Santhoshkumar⁴
¹A.Nandha Kumar, Department of Electrical and Electronics Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
²Senthil Kumar, Department of Electrical and Electronics Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
³T.Alex Stanley Raja, Department of Electrical and Electronics Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
⁴K.V.Santhosh Kumar, Department of Electrical and Electronics Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.
Manuscript received on 05 January 2019 | Revised Manuscript received on 13 January 2019 | Manuscript published on 30 January 2019 | PP: 131-136 | Volume-8 Issue-3, January 2019 | Retrieval Number: C2623018319/19©BEIESP
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© The Authors. 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 fast decaying of fossil fuels and increased demand of electrical energy, the utilization of renewable energy sources have been increased in large extent during the recent years. Among various renewable energy sources solar energy plays a vital role, because it is used assolar powered street lights, solar water heater,and solar cooker and to derive induction motor using inverter circuit. Due to this reason, this paper is proposed to develop a model which consists of 1 ϕ induction motor driven by multi stages of power conversion circuit. The first stage is DC – DC boost converter where the duty cycle is controlled by Maximum power point tracking algorithm. The second stage is voltage source inverter, with open loop sub synchronous speed control method to achieve high performance during various operating speeds. A pulsewidth modulation strategy is developed to supply the pulses to the switches in the inverter so that the output voltage can be controlled based on the V/F method. The speed torque performance characteristics of the 1ϕ induction motor based on the developed control method is determined by using MATLAB simulation and also hardware results are obtained using PIC microcontroller.
Keyword: Pulse Width Modulation, Perturb And Observe Algorithm, Maximum Solar Power Point Tracking Algorithm.
Scope of the Article: Algorithm Engineering

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C2622018319

IJITEE Journal — Fri, 16 Dec 2022 07:29:07 +0000

State-of-the-Art Machine Learning and Deep Learning: Evolution of Intelligent Intrusion Detection System Against Wireless Network (Wi-Fi) Attacks in Internet of Things (IoT)
Nivaashini.M¹, Thangaraj.P²
¹Nivaashini M, Department of Computer Science & Engineering, Bannari Amman Institute of Technology, Erode (Tamil Nadu), India.
²Thangaraj P, Department of Computer Science & Engineering, Bannari Amman Institute of Technology, Erode (Tamil Nadu), India.
Manuscript received on 05 January 2019 | Revised Manuscript received on 13 January 2019 | Manuscript published on 30 January 2019 | PP: 118-130 | Volume-8 Issue-3, January 2019 | Retrieval Number: C2622018319/19©BEIESP
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© The Authors. 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 quick technical developments of devices and sensors, Wi-Fi have turned out to be a widespread technology for the Internet of Things (IoT). However, the benefit of wireless networks and IoT comes with a cost, which is mainly due to the concern of security and privacy. The distributed nature, multihop data forwarding, and open wireless medium are the factors that make wireless network highly vulnerable to security attacks at various levels. For more than two decades, Intrusion Detection Systems (IDSs) plays an important role in detecting and preventing such security attacks. Still, applying traditional IDS techniques to wireless network of IoT is difficult due to its particular characteristics such as constrained-resource devices, specific protocol stacks, and standards. Thus, a wide look at relating Intrusion Detection System (IDS) with machine learning procedures in scholastic world and in business field have been done commonly. Yet, massive information and complications to acquire data occurrences in machine-learning based IDS are sizzling challenges and correspondingly not sophisticated enough to handle persistently erratic wireless network conditions rising from the incredible network traffic evolution. Therefore, Deep learning, the modern revolution in the machine learning & intelligence zone, seems to be a feasible method in scheming Intellectual IDS. In this paper, a review on IDS research efforts by means of machine learning and deep learning practices in wireless networks of IoT has be offered along with the summary of upcoming research guidelines in IDS using deep learning procedures to overwhelm the limits of earlier typical machine learning based IDSs.
Keyword: Intrusion Detection System, Wireless Networks, Internet of Things, Machine Learning Techniques, Deep Learning Techniques.
Scope of the Article: Deep Learning

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