Volume-9 Issue-11, September 2020 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

J73100891020

IJITEE Journal — Sat, 15 Jan 2022 09:01:47 +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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A Dynamic Scalable Security Model for Data at Rest in fog Computing Environment
Tarek Husein¹, Aqeel Khalique², M. Afshar Alam³, Bhavya Alankar⁴
¹Tarek Husein*, Department of Computer Science& Engineering, Jamia Hamdard, Delhi, India.
²Aqeel Khalique*, Department of Computer Science& Engineering, Jamia Hamdard, Delhi, India.
³M. Afshar Alam, Department of Computer Science& Engineering, Jamia Hamdard, Delhi, India.
⁴Bhavya Alankar, Department of Computer Science& Engineering, Jamia Hamdard, Delhi, India.
Manuscript received on August 20, 2020. | Revised Manuscript received on September 04, 2020. | Manuscript published on September 10, 2020. | PP: 413-418 | Volume-9 Issue-11, September 2020 | Retrieval Number: 100.1/ijitee.J73100891020 | DOI: 10.35940/ijitee.J7310.0991120
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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: Fog computing brings cloud services closer to the network’s Edge. Despite various applications in today’s world, these applications lack in data security aspects. Developers have few solutions that need to be tested thoroughly. Data encipherment is one of the most popular mechanisms to protect data confidentiality, data integrity, etc. We propose two steps flexible dynamic scalable model in which the system will dynamically choose an encryption mechanism depending on the access frequency of data being encrypted. If data is frequently accessed, then the model will choose the algorithm with minimum computational complexity. In next step, model will use a scalable approach to decide the security strength needed by determining size of encryption key. A longer key will be used to encrypt more sensitive and secretive data automatically by security model and a smaller key will be used to encrypt public data or less sensitive, saving the fog node from computation overload. Our model is more secure and dynamic in nature with scalable security strength.
Keywords: Data Encryption, Scalable Security, Information Security, Fog Security.
Scope of the Article: Information-Centric Networking

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I7003079920

IJITEE Journal — Sat, 15 Jan 2022 08:56:12 +0000

Weather Prediction for Tourism Application using Time Series Algorithms
Abhijit Kocharekar¹, Bharat Nemade², Chetan Patil³, Durgesh Sapkale⁴, Sagar Salunke⁵
¹Abhijit Kocharekar*, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India.
²Bharat Nemade, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India.
³Chetan Patil, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India.
⁴Durgesh Sapkale, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India.
⁵Prof. Sagar Salunke, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India.
Manuscript received on August 22, 2020. | Revised Manuscript received on September 05, 2020. | Manuscript published on September 10, 2020. | PP: 406-412 | Volume-9 Issue-11, September 2020 | Retrieval Number: 100.1/ijitee.I7003079920 | DOI: 10.35940/ijitee.I7003.0991120
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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: Precise projections of future events are crucial in many areas, one of which is the tourism sector. Usually counter-trials and towns spend a enormous quantity of cash in planning and preparation to accommodate (and benefit) visitors. Precisely predicting the amount of visits in the days or months, that follow would benefit the economy and tourists both. Previous studies in this field investigate predictions for a nation as a whole rather than for fine-grained fields within a nation. Weather forecasting has drawn the attention of many scientists from distinct research communities due to its impact on human life globally. The developing deep learning methods coupled with the wide accessibility of huge weather observation data and the advancement of machine learning algorithms has motivated many scientists to investigate hidden hierarchical patterns for weather forecasting in large amounts of weather data over the previous century. To predict climate information accurately, heavy statistical algorithms are used on the big quantity of historical information. Time series Analysis enables us know the fundamental forces leading to a specific trend in time series data points and enables us to predict and monitor information points by fitting suitable models into them. In this study, Holt-Winter model is used for predicting time series. The forecasting algorithm for Holt-Winters enables users to construct a time series and then use that data to forecast interest areas. Exponential smoothing allocates weights and their respective values against past data to decrease exponentially, to decrease the weight value for older data.
Keywords: Tourism Industry, Weather Forecasting, Time Series Analysis, Holt-Winter algorithm.
Scope of the Article: Web Algorithms

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K78400991120

IJITEE Journal — Sat, 15 Jan 2022 08:50:46 +0000

Optimization of System Framework for Secure Communication and Data Virtualization on Cloud Computing
Nikita Kayarkar¹, Uday Singh Kushwaha², Prashant Richhariya³
¹Nikita Kayarkar, Student Computer Science Engineering, Indore Institute of Science & Technology, Indore, (M.P), India.
²Uday Singh Kushwaha, Asst. Professor Computer Science Department Indore Institute of Science & Technology, Indore, (M.P), India.
³Prashant Richhariya, Asst. Professor Computer Science Department Indore Institute of Science & Technology, Indore, (M.P), India.
Manuscript received on August 10, 2020. | Revised Manuscript received on August 22, 2020. | Manuscript published on September 10, 2020. | PP: 399-405 | Volume-9 Issue-11, September 2020 | Retrieval Number: 100.1/ijitee.K78400991120 | DOI: 10.35940/ijitee.K7840.0991120
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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 consequent deployment of vital infrastructure to provide the secure communication and virtualization not only rectifies the challenges and difficulties but also benefits with saving the process of digitization. With a bang in evolution of cloud computing the uniqueness of every organization affects the virtualization of its information communication technology and applications. The answer for such organizations is to stipulate the precise cloud computing model equivalent to the deliberated and operational goals. This research article emphasized at budding and optimizing a framework for virtual infrastructure and cloud computing model to support the organization stakeholders. Moreover it also improves the cloud security with a protected virtual infrastructure and communication model with better performance. On account of data storage security necessities and distinctiveness of cloud computing environment, a method for secured data & storage based on dynamic allocation and access control mechanism is presented. Dynamic resource allocation is applied for resource utilization that focused on data virtualization and memory virtualization, for protection and access control a modified KPABE algorithm is integrated. The combination of these methods resulting on the optimize resource use, centralizing of storage. The implementation and comparison of results revealed that the proposed modified KP-ABE has performed effectively than the other security standards and especially for resource utilization. The proposed method serves for efficient data storage, access control solutions and computation in cloud environment.
Keywords: Access Control, Cloud Computing, Data Security, Data Storage, Dynamic Resource allocation, Virtualization, Virtual Infrastructure.
Scope of the Article: Cloud Computing

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K78500991120

IJITEE Journal — Sat, 15 Jan 2022 08:45:50 +0000

Empirical Analysis of Robust Chaotic Maps for Image Encryption
Sonal Ayyappan¹, C Lakshmi²
¹Sonal Ayyappan*, Department of Computer Science and Engineering, SRMIST, Chennai, India.
²C Lakshmi, Department of Software Engineering, SRMIST, Chennai, India.
Manuscript received on August 19, 2020. | Revised Manuscript received on August 24, 2020. | Manuscript published on September 10, 2020. | PP: 393-398 | Volume-9 Issue-11, September 2020 | Retrieval Number: 100.1/ijitee.K78500991120 | DOI: 10.35940/ijitee.K7850.0991120
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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 rate of transferring data in the form of text, image, video or audio over an open network has drastically increased. As these are carried out in highly sophisticated fields of medicine, military and banking, security becomes important. Inorder to enhance security for transmission, encryption algorithms play a vital role. So as to enhance the proficiency of the existing encryption methods and for stronger anti attack abilities, chaotic based cryptography is essential. Chaotic based encryption has advantages of being sensitive to initial conditions and control parameters. Images have features like bulk data capacity and high inter pixel correlation. Transmission of such medical data should be highly confidential, integral and authorized. Hence chaos-based image encryption is an efficient way of fast and high-quality image encryption. It has features like good speed, complexity, highly secure, reasonable computational overhead and power. In this paper a comprehensive analysis and an evaluation regarding the capabilities of different discrete time domain chaotic maps were carried out on a proposed image encryption method. The experimental results show high efficiency for the proposed image encryption technique.
Keywords: Chaotic maps, Cryptography, Image encryption, Security Analysis, Measurement Metrics.
Scope of the Article: Encryption Methods and Tools

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K78600991120

IJITEE Journal — Sat, 15 Jan 2022 08:36:52 +0000

Development and Analysis of Combinational Pico-Energy Generation Framework
Manjusha Sham Patil¹, Anwar Mubarak Mulla²
¹Mrs. Manjusha Sham Patil PhD Scholar JJTU and currently working as Assistant Professor in JSPM‟s Bhivarabai Sawant Institute of Technology and Research Institute, Wagholi. Pune, Maharashtra, India.
²Dr. Anwar M Mulla, Doctorate in Electrical Engineering Currently Working as Principal in Shivaji University, Maharashtra, India.
Manuscript received on August 16, 2020. | Revised Manuscript received on August 24, 2020. | Manuscript published on September 10, 2020. | PP: 388-392 | Volume-9 Issue-11, September 2020 | Retrieval Number: 100.1/ijitee.K78600991120 | DOI: 10.35940/ijitee.K7860.0991120
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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: Alternative energy is extracted via unlimited resources. Appropriate practice of energy assets is a great debate heading these times. It is extremely significant to determine of which resource needs to be employed and for what reason. Number of points just like cleanness, expense, steadiness, effectiveness and so geographical impacts needs to be considered. Because of India getting the world’s 4th leading emitter of Carbon Dioxide, it is vital to figure out what precisely the India’s exhausts are presently as well as, just where these may be advancing. Considering India’s early on level of monetary evolution, poor per-capita exhausts and so its significant populace, certainly, there is distinctive probability to get its exhausts to boost. Hence, certainly, there is a requirement of option to lessen this carbon foot printing as per Kyoto protocol. Hence, this paper presents the methodology to lower the carbon foot printing by means of combinational Pico-energy generation.
Keywords: Carbon foot printing, Clear energy, Kyoto protocol, Pico-Energy, Renewable energy, Rural-Electrification, Zero carbon.
Scope of the Article: Renewable Energy Technology

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K78070991120

IJITEE Journal — Sat, 15 Jan 2022 07:42:33 +0000

Analytical Simulations for Proactive, Reactive and Position based Routing Protocols using OMNeT++ via INet Framework
Mohamed M. A. Elgazzar¹, Ahmad Alshareef²
¹Mohamed M. A. Elgazzar, Delta Technological University, Faculty of Technological of Industry and Energy.
²Ahmad Alshareef, Electronics and Communications Department, Cairo University Giza, Egypt.
Manuscript received on August 10, 2020. | Revised Manuscript received on August 22, 2020. | Manuscript published on September 10, 2020. | PP: 383-387 | Volume-9 Issue-11, September 2020 | Retrieval Number: 100.1/ijitee.K78070991120 | DOI: 10.35940/ijitee.K7807.0991120
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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: Vehicular ad-hoc networks VANETs has become one of the great research topics related to automotive industry, as they are the suitable way to describe the real scenarios of the car movement through our daily life. Routing protocols used in the network description of a vehicular ad-hoc network are to balance between the responsiveness of the network to the rapid change of the topology and bandwidth efficiency. Different approaches for routing protocols are introduced to address the routing strategies to be followed in the constructed vehicular ad-hoc network considering its perspective of the routing algorithm to be followed. Each approach is consists of different routing protocols that inherits the main theme of the parent approach. Evaluating the measurements for each approach is very important for the developer of the network through network simulation prior to the expensive direct implementation of the vehicular ad-hoc networks. In this paper, we will discuss three main routing approaches: reactive, proactive and position based routing protocols, discussing the main theme for each approach followed by analytical simulations for three different protocols representing the three approaches. Ad-hoc on demand vector AODV representing the reactive approach, destination-sequenced distance vector DSDV representing the proactive approach and greedy perimeter stateless routing GPSR representing the position based approach.
Keywords: VANET, MANET, Routing, Proactive, Reactive, Position based, AODV, DSDV, GPSR, Simulation, OMNeT++, INet.
Scope of the Article: Routing, Switching and Addressing Techniques

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K78520991120

IJITEE Journal — Sat, 15 Jan 2022 07:39:07 +0000

Mathematical Analysis and Simulation of Permanent Magnet Synchronous Motor for Electric Vehicle Application
K. Navyasree¹, N. Malla Reddy²
¹K.Navyasree, M.Tech in Power Electronics and Electrical Drives from G. Narayanamma Institute of Technology and Science, Hyderabad, India.
²Dr. N. Malla Reddy, M.Tech from JNTU, Hyderabad and PhD from JNTU Hyderabad, India.
Manuscript received on August 15, 2020. | Revised Manuscript received on August 23, 2020. | Manuscript published on September 10, 2020. | PP: 379-382 | Volume-9 Issue-11, September 2020 | Retrieval Number: 100.1/ijitee.K78520991120 | DOI: 10.35940/ijitee.K7852.0991120
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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: Permanent magnet synchronous motors in electric vehicles are gaining more and more attention because of its high performance and high torque to inertia and high power density. PMSM Motor should operate in four quadrant operation at different driving characteristics the torque speed characteristics of the motor is observed. Battery and super capacitor is used for energy sources to the permanent magnet synchronous motor the design of electric vehicle is onboard charging system. Battery and supercapacitor are hybrid energy sources. PMSM motor is controlled by using field oriented control technique. Voltage source inverter is used to control the speed of the PMSMS motor at different frequencies. The control technique used for VSI is space vector control technique. Using MATLAB Simulink.
Keywords: EV, PMSM motor, PMSM mode.
Scope of the Article: High Performance Concrete

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K78450991120

IJITEE Journal — Sat, 15 Jan 2022 07:34:55 +0000

Decision Optimization: Internet Data Assistance for Students during Learning from Home
Edy Budiman
Edy Budiman*, Dept of Informatics, Universitas Mulawarman, Samarinda City, Indonesia.

Manuscript received on August 19, 2020. | Revised Manuscript received on September 02, 2020. | Manuscript published on September 10, 2020. | PP: 372-378 | Volume-9 Issue-11, September 2020 | Retrieval Number: 100.1/ijitee.K78450991120 | DOI: 10.35940/ijitee.K7845.0991120
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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 teaching and learning process during the Covid-19 pandemic made it difficult for students to provide internet data packages for access online learning media from home. An internet assistance program policy is provided to support student online learning. In order for the distribution of internet data to students is objective and proportion, for that reason, measuring the amount of data usage and then used in decision making. The method used in measuring data usage is the Drive-test method for incoming and outgoing data bandwidth. As for the analysis of data assistance decision making using the optimization method and the Rank Order Cendroid (ROC) weighting method for each criterion. Measurement results of internet data usage obtained an average value of 407MB-1.0GB per hour with 40 participants in the group. The results of the decision making analysis method for internet data assistance obtained the highest optimization value obtained by 0.40117 with a weighted ROD value of 0.4667. The research study on internet data usage and optimization of decision-making methods is a case study in the Computing classification field: networks and applied computing. Both are implemented in management optimization internet data assistance to students.
Keywords: Data usage, Learning from home, Decision, Students.
Scope of the Article: Machine Learning

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K78380991120

IJITEE Journal — Sat, 15 Jan 2022 07:31:20 +0000

Maximum Power Point Tracking using Grey Wolf Technique Under Fast-Changing Irradiance
Rubi Debbarma¹, Champa Nandi²
¹Rubi Debbarma, Department of Electrical Engineering, Tripura University, Suryamaninagar, Tripura, India.
²Dr. Champa Nandi*, Department of Electrical Engineering, Tripura University, Suryamaninagar, Tripura, India.
Manuscript received on August 16, 2020. | Revised Manuscript received on August 27, 2020. | Manuscript published on September 10, 2020. | PP: 365-371 | Volume-9 Issue-11, September 2020 | Retrieval Number: 100.1/ijitee.K78380991120 | DOI: 10.35940/ijitee.K7838.0991120
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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 this paper, maximum power point tracking (MPPT) using Grey wolf optimization (GWO) algorithm is presented using MATLAB/Simulink. As we know that meta-heuristic or nature-inspired algorithm has proven to be superior in performance compared to the conventional MPPT methods. Grey Wolf optimization algorithm is a meta-heuristic algorithm based on the hunting behaviour of grey wolves. The proposed system includes modelling of PV system under changing irradiance and the MPPT control is driven by GWO algorithm. Most of the conventional MPPTs are unable to track multiple peaks and also shows oscillations on the output side, for this reason proposed MPPT algorithm is used in this paper. For eliminating oscillations, this algorithm has proven to be better compared to perturb and observe (P&O) and particle swarm optimization (PSO). The results are compared in terms of output power.
Keywords: Grey Wolf Optimization, Maximum Power Point Tracking, Particle Swarm Optimization, Perturb and Observe, Photovoltaic PV System.
Scope of the Article: Swarm Intelligence

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K78370991120

IJITEE Journal — Sat, 15 Jan 2022 07:27:51 +0000

Lifetime Responsive Depth Based Routing for Underwater Wireless Sensor Network using Hybrid Soft Computing Technique with Optimal Delay
Pushpendra R Verma¹, Amit Kumar², Sajal Swapnil³, Rakesh Ranjan⁴
¹Pushpendra. R. Verma*, Department of Electronics & Communication Engineering, Himgiri Zee University, Dehradun, India.
²Amit Kumar, Department of Electronics & Communication Engineering, Himgiri Zee University, Dehradun, India.
³Sajal Swapnil, Department of Electronics & Communication Engineering, NIT Kurukshetra, Haryana, India.
⁴Rakesh Ranjan, Vice Chancellor, Himgiri Zee University, Dehradun, India.
Manuscript received on August 17, 2020. | Revised Manuscript received on August 24, 2020. | Manuscript published on September 10, 2020. | PP: 357-364 | Volume-9 Issue-11, September 2020 | Retrieval Number: 100.1/ijitee.K78370991120 | DOI: 10.35940/ijitee.K7837.0991120
Open Access | Ethics and Policies | Cite | Mendeley
© 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: Underwater wireless sensor network (UWSN) is an emerging technology that has been used for different applications such as warning systems for disasters, monitoring the ecosystem, drilling of the oil, defense surveillance. Although underwater communication may be accomplished using electromagnetic or optical waves, but these methods are not feasible for practical UWSN, due to signal attenuation. UWSN faces several issues like restricted bandwidth, irregular node mobility, increased delay etc. which affects the routing behavior. In this paper, an optimal delay and lifetime aware depth based routing (ODLDR) protocol is proposed. Protocol first introduced the group partitioning algorithm for cluster formation that minimizes the energy consumption of network then an efficient priority based scheduling algorithm is proposed for trust computation, which helps in finalizing the CH and routing path. The ODLDR protocol is tested with the high density nodes in Network Simulator (NS2) tool. The simulation results shows the effectiveness of the ODLDR protocol in terms of energy consumption, packet delivery ratio, positioning accuracy, end-to-end delay, throughput and network lifetime.
Keywords: ODLDR, CH, UWSN, Routing protocol, Delay.
Scope of the Article: Wireless Sensor Network

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