Volume-8 Issue-9S4, July 2019 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

I32670789S319

IJITEE Journal — Mon, 16 Oct 2023 07:19:01 +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 Smart City #Logic, Functional programming and Microcontrollers for IoT #Sensor Networks, Actuators for Internet of Things #Data Visualization using IoT #IoT Application and Communication Protocol #Big Data Analytics for Social Networking using IoT #IoT Applications for Smart Cities #Emulation and Simulation Methodologies for IoT #IoT Applied for Digital Contents #Microwaves and Photonics #Microwave filter #Micro Strip antenna #Microwave Link design #Microwave oscillator #Frequency selective surface #Microwave Antenna #Microwave Photonics #Radio over Fibre #Optical Communication, #Optical Oscillator #Optical Link Design #Optical Phase Lock Loop #Optical Devices #Computation Intelligence and Analytics #Soft Computing #Advance Ubiquitous Computing #Parallel Computing #Distributed Computing #Machine Learning #Information Retrieval #Expert Systems #Data Mining #Text Mining #Data Warehousing #Predictive Analysis #Data Management #Big Data Analytics #Big Data Security #Energy Harvesting and Wireless Power Transmission #Energy Harvesting and Transfer for Wireless Sensor Networks #Economics of Energy Harvesting Communications #Waveform Optimization for Wireless Power Transfer #RF Energy Harvesting #Wireless Power Transmission #Microstrip Antenna Design and Application #Wearable Textile Antenna #Luminescence #Rectenna #Advance Concept of Networking and Database #Computer Network #Mobile Adhoc Network #Image Security #Application Artificial Intelligence and Machine Learning in the Field of Network and Database #Data Analytic #High Performance Computing #Pattern Recognition #Machine Learning (ML) and Knowledge Mining (KM) #Regression and Prediction #Problem Solving and Planning #Clustering #Classification #Neural Information Processing #Vision and Speech Perception #Heterogeneous and Streaming Data #Natural Language Processing #Probabilistic Models and Methods #Reasoning and inference #Marketing and Social Sciences #Data Mining #Knowledge Discovery #Web Mining #Information Retrieval #Design and Diagnosis #Game Playing #Streaming Data #Music Modelling and Analysis #Robotics and Control #Multi-Agent Systems #Bioinformatics #Social Sciences #Industrial Financial and Scientific Applications of All Kind #Advanced Computer Networking Computational Intelligence #Data Management, Exploration, and Mining #Robotics #Artificial Intelligence and Machine Learning #Computer Architecture and VLSI #Computer Graphics, Simulation, and Modelling #Digital System and Logic Design #Natural Language Processing and Machine Translation #Parallel and Distributed Algorithms #Pattern Recognition and Analysis #Systems and Software Engineering #Nature Inspired Computing #Signal and Image Processing #Reconfigurable Computing #Cloud, Cluster, Grid and P2P Computing #Biomedical Computing #Advanced Bioinformatics #Green Computing #Mobile Computing #Nano Ubiquitous Computing #Context Awareness and Personalization, Autonomic and Trusted Computing #Cryptography and Applied Mathematics #Security, Trust and Privacy #Digital Rights Management #Networked-Driven Multicourse Chips #Internet Computing #Agricultural Informatics and Communication #Community Information Systems #Computational Economics, Digital Photogrammetric #Remote Sensing, GIS and GPS #Disaster Management #e-governance, e-Commerce, e-business, e-Learning #Forest Genomics and Informatics #Healthcare Informatics #Information Ecology and Knowledge Management #Irrigation Informatics #Neuro-Informatics #Open Source: Challenges and opportunities #Web-Based Learning: Innovation and Challenges #Soft computing Signal and Speech Processing #Natural Language Processing #Communications #Microstrip Antenna #Microwave #Radar and Satellite #Smart Antenna #MIMO Antenna #Wireless Communication #RFID Network and Applications #5G Communication #6G Communication #Algorithms and Complexity #Sequential, Parallel and Distributed Algorithms and Data Structures #Approximation and Randomized Algorithms #Graph Algorithms and Graph Drawing #On-Line and Streaming Algorithms #Analysis of Algorithms and Computational Complexity #Algorithm Engineering #Web Algorithms #Exact and Parameterized Computation #Algorithmic Game Theory #Computational Biology #Foundations of Communication Networks #Computational Geometry #Discrete Optimization #Software Engineering and Knowledge Engineering #Software Engineering Methodologies #Agent-Based Software Engineering #Artificial Intelligence Approaches to Software Engineering #Component-Based Software Engineering #Embedded and Ubiquitous Software Engineering #Aspect-Based Software Engineering #Empirical Software Engineering #Search-Based Software Engineering #Automated Software Design and Synthesis #Computer-Supported Cooperative Work #Automated Software Specification #Reverse Engineering #Software Engineering Techniques and Production Perspectives #Requirements Engineering #Software Analysis, Design and Modelling #Software Maintenance and Evolution #Software Engineering Tools and 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Data Warehouse using Assimilated Algorithm
D. Jeyapriya¹, S. Theivasigamani², R. Velvizhi³, K. Shanmugapriya⁴

¹D.Jeyapriya, Department of Computer Science and Engineering, Bharath Institute of Higher education and research, Chennai, India.

²S. Theivasigamani, Department of CSE, Bharath Institute of Higher Education and Research Chennai, Tamilnadu, India.

³R.Velvizhi, Department of CSE ,Bharath Institute of Higher Education and Research, Chennai, Thamilnadu, India.

⁴K. Shanmugapriya, Department of Computer Science and Engineering, Bharath Institute of Higher education and research, Chennai, India.

Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Information mined from the single source is analyzed and a report is made using first demand method of reasoning in the present structure. Be that as it may, this structure fails to help between related limit of data. [2 ],[ 4],[6]Consequently, an Interactive examination of data has been proposed, by empowering data to be shortened and seen in different ways. Data that can be shown as estimation attributes and estimated characteristics. Measure characteristics consolidate measure of some regard that can be totaled upon .e.g. the quality number of offers association. Center individual based data compromise count has been executed for hypothesis and disguise of data’s in the data stockroom. Exceptional evasion strategy to manage mass data has been sent further in our proposed approach. Chain of significance on estimation characteristics of interrelated data has been proposed where it lets estimations to be seen at different levels of detail. The proposed reasoning is furthermore profitable toward the beginning of the observation strategy. [1],[ 3],[5]

Keywords: Perception, OLAP, Algorithm.
Scope of the Article: Algorithm Engineering

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I32360789S319

IJITEE Journal — Sat, 14 Oct 2023 11:30:28 +0000

Detecting and Analyzing Urban Regions with High Impact of Weather Change on Transport
S. Sangeetha¹, C. Anuradha², N.Priya³

">¹S.Sangeetha, Department of Computer Science and Engineering, Bharath Institute of Higher education and research, Chennai, Tamilnadu India.

">²C.Anuradha Department of Computer Science and Engineering, Bharath Institute of Higher education and research, Chennai, Tamilnadu India.

">³N.Priya, Department of Computer Science and Engineering, Bharath Institute of Higher education and research, Chennai, Tamilnadu India.

Abstract: In this report we essentially have an eye on two of the most significant inquiry that are essential for the urban region organizer to be inquired. The primary inquiry is how we can distinguish the provincial climate traffic affectability list generally the city that will surrender a thought that to how much the district traffic is affected by climate. The second inquiry is among the complex local highlights which incorporates street structures, traffic, and so on. For this we need two primary segments initially is climate traffic record foundation and key factor examination.

Keywords: Traffic, weather, analysis
Scope of the Article: Transportation Engineering

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I31010789S319

IJITEE Journal — Thu, 12 Oct 2023 07:37:35 +0000

A Novel Encrypt Methods of Markov Models
G. Kavitha¹, S. Theivasigamani², S. Amudha³

¹G.Kavitha, Department of CSE, Bharath Institute of Higher education and Research, Chennai, Tamilnadu, India.

²S. Theivasigamani, Department of CSE, Bharath Institute of Higher education and Research, Chennai, Tamilnadu, India.

³S. Amudha, Department of CSE, Bharath Institute of Higher education and Research, Chennai, Tamilnadu, India.

Abstract: Unified cooperative theory have led to many technical advances, including cache coherence and online algorithms. In fact, few math- ematicians would disagree with the explo-ration of Internet QoS, which embodies the extensive principles of hardware and architecture. The aim here is to set the record straight. To confirm that though wide-area networks and the memory bus can collude to solve this obstacle, the Ethernet and interrupts are always incompatible.

Keywords: Markov models.
Scope of the Article: Web Algorithms

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I11450789S419

IJITEE Journal — Tue, 10 Oct 2023 09:09:37 +0000

Wheel Obstraction Detection with Machine Learning
Shanmukhsrivamsinimmagadla¹, P.Shanmuga Prabha²

¹Shanmukhsrivamsinimmagadla, Student, Department of Computer science and Engineering, Saveetha school of Engineering Chennai, Tamil Nadu India.

²P. Shanmuga Prabha, Assistant Professor, Department of Computer science and Engineering, Saveetha school of Engineering Chennai, Tamil Nadu India.

Abstract: In this paper, to blessing an ongoing programmed innovative and insightful based absolutely rail assessment framework, which plays examinations at sixteen km/h with a casing rate of 20 fps. The framework identifies significant rail segments including ties, tie plates, and grapples, with high exactness and productivity. To accomplish this objective, to initially widen an immovable of picture and video investigation and after that prompt a particular worldwide streamlining structure to join proof from two or three cameras, Global Positioning System, and separation size apparatus to moreover improve the recognition execution. Additionally, as the grapple is a significant kind of rail clasp, to’ve as needs be propelled the push to hit upon stay special cases, which consolidates evaluating the grapple circumstances on the tie stage and recognizing grapple design exemptions on the consistence level. Quantitative examination performed on a huge video certainties set caught with unmistakable tune and lighting installations conditions, notwithstanding on a continuous order check, has affirmed empotoring execution on each rail perspective recognition and stay special case location. In particular, a middle of 94.67% accuracy and ninety three% remember expense has been finished for recognizing each of the 3 rail segments, and a 100% recognition charge is practiced for consistence level stay special case with three phony positives predictable with hour. To our excellent comprehension, our framework is the essential to address and clear up both perspective and special case location issues in this rail assessment region.

Keywords: Anchor exception detection, system imaginative and prescient generation, multisensory proof integration.
Scope of the Article: Machine Learning

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I11440789S419

IJITEE Journal — Tue, 10 Oct 2023 09:01:28 +0000

A Novel Protocol to Provide Authentication and Privacy in WSN
Devi. T¹, N. Deepa², K. Lakshmi Swathi³, Harthik⁴, Manideep⁵

¹Devi.T, Assistant Professor, Saveetha School of Engineering, SIMATS, Chennai India.

²N. Deepa, UG Student, Saveetha School of Engineering, SIMATS, Chennai India.

³K. Lakshmi Swathi, UG Student, Saveetha School of Engineering, SIMATS, Chennai India.

⁴Harthik, UG Student, Saveetha School of Engineering, SIMATS, Chennai India.

⁵Manideep, UG Student, Saveetha School of Engineering, SIMATS, Chennai India.

Abstract: A wireless sensor network holds a large amount of nodes. These nodes will contact themselves by utilizing some of the radio signals. wireless sensor networks (WSNs) has develop some applications during a huge selection areas, in the time of which external side users ought to straightly attach with sensors to get a perceived information. But, WSNs (wireless sensor node) are open to numerous attacks for wireless links, like eavesdropping and meddling. Two-factor authentication combining password and ID utterly like this demand due to password and ID usefulness. Then, a bucket of two-factor authentication protocol was advised in present research works. Because of the difficult assignment of adjustable potency and privacy requirements, still it’s difficult to introduce a privacyaware two-factor protocol that’s potential of giving different safety features whereas take care of proper potency. in this paper the proposed work tend to suggests a privacy aware two-factor authentication protocol depend on ECC for wireless sensor nodes(WSNs). In this another convention performs distinctive wellbeing highlights need fully for the application situations, all things considered, though deal with appropriate power. So in this we will in general demonstrate that the presented convention accomplishes intelligent in the Burrows–Abadi– Needham judgment to boot, through manner of unofficial security statistics, the work show the introduced protocol will face up to a range of attacks and supply fascinating safety features.

Keywords: Elliptic Curve Cryptography, Gateway Node, Sensor Nodes, Two Factor Authentication.
Scope of the Article: Cryptography and Applied Mathematics

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I11430789S419

IJITEE Journal — Tue, 10 Oct 2023 08:51:43 +0000

Mitigating Ransomware Attacks
K. Jaisharma¹, Suvvala Manoj², K. Manideep³, Manoj Kumar Reddy⁴

¹K. Jaisharma, Assistant Professor, Saveetha School of Engineering, SIMATS, Chennai India.

²Suvvala Manoj, UG Student, Saveetha School of Engineering, SIMATS, Chennai India.

³K. Manideep, UG Student, Saveetha School of Engineering, SIMATS, Chennai India.

⁴Manoj Kumar Reddy, UG Student, Saveetha School of Engineering, SIMATS, Chennai India.

Abstract: In the recent years the attack namely, ransomware have been spreading very rapidly which could concentrated on from home user to the large kind of corporations and organisations. In the recent days many approaches have been found to survive from the ransomware attacks even though there are still many attacks which are being done by the organisational employees. Our approach is different from those kind of approaches which is mainly focused on the mitigating the attacks instead of removing those kind of attacks which is not surely easy.

Keywords: Cyber Attacks, Ransomware, Unauthorized Users, Wannacry.
Scope of the Article: Plant Cyber Security

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I11420789S419

IJITEE Journal — Tue, 10 Oct 2023 07:54:26 +0000

Towards Securing Cloud Network using Tree-Rule Firewal
T. Sai Sravan¹, S. Usha², N. Sushma³, N. Lavanya⁴, T. Devi⁵, Murugeswari. M⁶

¹T.Sai Sravan, UG Student, Saveetha School of Engineering, SIMATS, Chennai

²S. Usha, Assistant Professor, Saveetha School of Engineering, SIMATS, Chennai

³N. Sushma, Assistant Professor, Saveetha School of Engineering, SIMATS, Chennai

⁴N. Lavanya, Assistant Professor, Saveetha School of Engineering, SIMATS, Chennai

⁵T. Devi, Assistant Professor, Saveetha School of Engineering, SIMATS, Chennai

⁶Murugeswari. M, Assistant Professor, Saveetha School of Engineering, SIMATS, Chennai

Abstract: The paper proposes a existing Firewall called the “Tree-Rule Firewall”, has many uses for large and more networks as ‘cloud’ networks, In listed-rule firewall by has many limitations in security and performing the tasks. To overcome the limitations, we propose as well as build up Tree-Rule Firewall which can’t give any problems as well as rules which are redundant. In a Tree-Rule firewall, the standard arrangements with the tree structure rather than the conventional principle posting, rules, In Linux, we execute Tree-Rule firewall, tried on customary system as well as using cloud situation separately which demonstrate presentation including the usage. Tree-Rule firewall provides preferable system protection along with speed compared to Listed-Rule firewall. Compared to Listed-Rule firewall, our system provides rules that are much easy for defining, specifically while considering the case of larger cloud network.

Keywords: Network elements, Tree-Rule Firewall, Security, Services.
Scope of the Article: Cloud Computing and Networking

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I11410789S419

IJITEE Journal — Tue, 10 Oct 2023 07:43:59 +0000

Early Diagnosis of Coronary Artery Disease using UCI Data set
SP. Chokkalingam¹, N. Deepa²

¹SP.Chokkalingam, Professor, Saveetha School of Engineering, SIMATS, Chennai India.

²N. Deepa, Assistant Professor, Saveetha School of Engineering, SIMATS, Chennai India.

Abstract: The focus of this project is based on both processing potential clinical features and implementing the classification architecture for detection of cardiac abnormality. The milestone of this first year involves analysis and investigation of different feature selection and transformation methods and theoretical modeling of single and hybrid systems by optimizing associated systematic parameters for better precision and recall. The importance of this paper is due to its clear objectives where an optimized and advanced system is designed and implemented for the cardiac disease utilizing computer aided diagnosis techniques for data and signal processing. The methodology is clear and trait forward using the hybrid approach of data mining techniques integrated to deliver enhanced performance on desired data set. In this paper comparative classification approaches are integrated to enhance system detection rate and decrease false alarms. The study focuses on feature preprocessing to select suitable feature subsets for classification algorithms like clustering (unsupervised learning) and SVM (supervised learning) which helps in generalizing the diagnosis system to detect unseen abnormality. For this study, will first apply statistical measures such as scoring ranking for clinical datasets consisting the electrocardiogram (ECG) features to reduce its dimension by eliminating irrelevant features. In the second part, will apply parametric tuned classification algorithms for selected feature subsets. The third part is to quantify the severity of CAD. At the last performance of the proposed system will be compared with other applied classification techniques in terms of accuracy, sensitivity and specificity.

Keywords: Classification, Coronary, ECG, Optimizing
Scope of the Article: Classification

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I11400789S419

IJITEE Journal — Tue, 10 Oct 2023 07:32:25 +0000

Predict the Shipment Forecast using Time-Series Data in Machine Learning
N. Deepa¹, M. Bhuvanachandra², B. Reddyprasad³, M.Nagendra⁴

¹N.Deepa, Assistant Professor, Saveetha School of Engineering, SIMATS, Chennai India.

²M. Bhuvanachandra, UG Student, Saveetha School of Engineering, SIMATS, Chennai India.

³B. Reddyprasad, UG Student, Saveetha School of Engineering, SIMATS, Chennai India.

⁴M. Nagendra, UG Student, Saveetha School of Engineering, SIMATS, Chennai India.

Abstract: In the point of large big data and massive increase the rate of time series data flow in the upcoming market program business, mining of related data and real time data[1] are been briefly explained. This paper proposes predicted the value of the trader marketing when we reach the expected the value and increase the rate of accuracy. For this purpose we can use the time series algorithm in machine learning and gets regular item sets by using the corresponding of Map reduce [2], which consumes less space and will not increase the time overhead. The usage of CPU is improved by using the thread calling algorithm and batch algorithm, it meets deep business opportunities and requirement processing or feature model based on the requirements of traders. Thus our results indicates that the model not only explained the time series data stream[4],it also helps traders to get to a confirmation that they can achieve data quickly and achieve accuracy trade off’s. This paper proposes a new demand forecasting model which is an extension of the traditional exponential diffusion models [5]. We examined the forecasting performance of the models just after the release of the item when the small number of model calibration data is available. This paper shows that the model which we proposed has the thing of enabling early decision making and best performance.

Keywords: Time Series Data, Machine Learning, Map Reduce, Diffusion Models.
Scope of the Article: Machine Learnin

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I11390789S419

IJITEE Journal — Tue, 10 Oct 2023 07:24:57 +0000

Blurring an Image using Python
Rahul Sai Ganesh¹, Jagadesh Babu², N. Bhanu Prasad³, M. Jagadeeshwar Reddy⁴, Devi. T⁵, A. Sumanth⁶

¹Rahul Sai Ganesh, UG Student, Saveetha School of Engineering, SIMATS, Chennai India.

²Jagadesh Babu, Assistant Professor, Saveetha School of Engineering, SIMATS, Chennai India.

³N. Bhanu Prasad, Assistant Professor, Saveetha School of Engineering, SIMATS, Chennai India.

⁴M. Jagadeeshwar reddy, Assistant Professor, Saveetha School of Engineering, SIMATS, Chennai India.

⁵Devi. T, Assistant Professor, Saveetha School of Engineering, SIMATS, Chennai India.

⁶A. Sumanth, Assistant Professor, Saveetha School of Engineering, SIMATS, Chennai India.

Abstract: The proposed system portrays the experience during the execution of an undertaking that connected the venture based learning (PBL) technique for showing a college class on picture handling at the Universidad de los Llanos. During this task, the students, the understudies of gadgets designing and software engineering, had the option to supplement their addresses, procedure and control pictures, and fabricate their very own picture preparing instruments utilizing Python programming language. The proposed work demonstrates undertakings coming about because of the use of key ideas of picture handling and example examination upheld by the PBL technique.

Keywords: Blur, Image, Filter, Frequency content
Scope of the Article: Image Analysis and Processing

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