Volume-10 Issue-8, June 2021 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

H91490610821

IJITEE Journal — Thu, 06 Jan 2022 06:06:32 +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 Environments #Software Engineering Decision Support #Software Design Patterns #Software Product Lines #Process and Workflow Management #Reflection and Metadata Approaches #Program Understanding and System Maintenance #Software Domain Modelling and Analysis #Software Economics #Multimedia and Hypermedia Software Engineering #Software Engineering Case Study and Experience Reports #Enterprise Software, Middleware, and Tools #Artificial Intelligent Methods, Models, Techniques #Artificial Life and Societies #Swarm Intelligence #Smart Spaces #Autonomic Computing and Agent-Based Systems #Autonomic Computing #Adaptive Systems #Agent Architectures, Ontologies, Languages and Protocols #Multi-Agent Systems #Agent-Based Learning and Knowledge Discovery #Interface Agents #Agent-Based Auctions and Marketplaces #Secure Mobile and Multi-Agent Systems #Mobile Agents #SOA and Service-Oriented Systems #Service-Centric Software Engineering #Service Oriented Requirements Engineering #Service Oriented Architectures #Middleware for Service Based Systems #Service Discovery and Composition #Service Level Agreements (Drafting, Negotiation, Monitoring and Management) #Runtime Service Management #Semantic Web #Data Modelling, Mining and Data Analytics #Aggregation, Integration, and Transformation #Web and Text Mining #Data Mining Methods, Techniques, and Tools #Data Analytics Modelling and Algorithms #Patterns and Frameworks #Data Visualization #Knowledge Systems and Engineering #Knowledge Acquisition #Knowledge-Based and Expert Systems #Knowledge Representation and Retrievals #Knowledge Engineering Tools and Techniques #Time and Knowledge Management Tools #Knowledge Modelling, Integration, Transformation, and Management, #Uncertainty Knowledge Management #Knowledge Visualization #Mobile Computing and Mobile System Engineering #Mobile App Design and Development #Innovative Mobile Applications #Pervasive Computing #Mobile System Validation and Test Automation #Software & System Quality of Service #Soft Computing #Software and System Testing Methods #Quality Assurance Process, Standards, and Systems #Software Safety Systems #Software Test Automation and Tools #Software Dependability, Reliability, Scalability #Software & System Security #Software and System Security and Privacy #Mobile App Security and Privacy #Encryption Methods and Tools #Security Service Systems #Cloud, Sensor Cloud and Mobile Cloud Security #Mobile System Integrity, Security and Fault Tolerance #Emergent Topics #Cloud Computing and Innovative Cloud-Based Application Systems #Mobile Cloud Computing and Application Services #Big Data Analytics Application Systems #Innovative Sensing Cloud and Systems #Large-Scale Cyber Systems #IoT and Smart City Application Systems #Big Data Quality Validation #Big Data Application Quality Services #Smart Learning and Innovative Education Systems #Learning Software Design Engineering #Smart Learning Methods and Environments #Online Learning Systems #Mobile Enabled Learning Systems and Tools #Computer Networks and Inventive Communication Technologies #Addressing & Location Management #Broadband Access Technologies #Adhoc and Sensor Networks #Cross Layer Design and Optimization #Heterogeneous Wireless Networks #High Speed Networks #Internet and Web Applications #Measurement & Performance Analysis #Mobile & Broadband Wireless Internet #Mobile Networks & Wireless LAN #Network Architectures #Network Based Applications #Network Protocols & Wireless Networks #Network Operations & Management #Network Security Trust, & Privacy #Next Generation Internet & Web Architectures #Peer to Peer and Overlay Networks #QOS And Resource Management #Recent Trends & Developments in Computer Networks #Routing, Switching and Addressing Techniques #Self-Organizing Networks and Networked Systems #Ubiquitous Networks #Virtual & Overlay Networks #Wireless Communications #Wireless Mesh Networks and Protocols #Wireless Multimedia Systems #Personal and Wearable Networks #Wireless ad hoc & Sensor 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 #Mobile and Ubiquitous Networking #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 #Mobility and Location-Dependent Services #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 #Resent Engineering and Nano Technology #Advanced Computing Architectures and New Programming Models #Bio-Science and Bio-Technology #Collaborative Applications #Communication Architectures for Pervasive Computing #Computer Vision #Computer Science and Its Applications #Computational Techniques in Civil Engineering #Control and Automation #Concrete Engineering #CAD/CAM/CIM #CAE #Database Theory and Application #Data Base Management System #Data Mining #Decision Making #Digital Signal Processing Theory #Distributed Sensor Networks #Distributed Computing #Mechanical Design #Evolutionary Computing and Intelligent Systems #Expert Approaches #Environmental Engineering #Fuzzy logics #Foundation Engineering #FEA #GPS and Location-Based Applications #Grid Networking/ Computing #GEOTECH Engineering #Highways #Human Computer Interaction (HCI) #Image Analysis and Processing #Information and Data Security #Internet Technologies, Infrastructure, Services & Applications #Nano Technology #Mobile Computing and Applications #Multimedia Communications #Network Modelling and Simulation #Network Performance, Protocols, Sensors #Networking Theory and Technologies #Open Models and Architectures #Pattern Recognition #Perception and Semantic Interpretation #Production #Real-Time Information Systems #Remote Sensing #Security Technology and Information Assurance #Soft Computing #Software Engineering & Its Applications #Signal Control System & Processing #Speech Interface, Speech processing #Structural Engineering #Thermal Engineering #Ubiquitous Multimedia Computing #Vision-Based Applications #VLSI Algorithms #Web Technologies #Textile Engineering #Recent on Mechanical Engineering and Technology #Fluid Mechanics #Applied Mathematics and Mechanics #Biomechanics #Heat Transfer #Solid Mechanics #Refrigeration and Air Conditioning #Renewable Energy Technology #Materials Engineering #Composite Materials #Marine Engineering #Petroleum and Mineral Resources Engineering #Textile Engineering #Industrial Engineering #Operational Research #Manufacturing Processes #Machine Design #Quality Control #Mechanical Maintenance #Tribology #CAD/CAM #Aeronautical Engineering #Production Engineering #Welding Technology #Robotics Engineering #Aerospace Engineering #Metallurgy #Rock Mechanics and Mining Sciences #Solid and Structural Mechanics #Theoretical and Applied Fracture Mechanics #Advance Civil Engineering and Technology #Assemblage and System #Behaviour of Structures #Behaviour of Structures under Seismic Loads #Building and Environmental Acoustics #Building Climate Systems #Building Energy #Civil and Environmental Engineering #Coastal Engineering #Composite Materials #Concrete Structures #Construction Economics #Construction Engineering #Design and Performance of Green Building #Design Optimization of Structures #Earthquake Engineering #Energy Efficient Building Technology #Energy Saving Building Materials #Evaluation of Building Envelope Systems under Structural and Environmental Loads #Evaluation of Glazing Systems for Energy Performance #Fire Engineering #Foundations Dynamics #Geotechnical Engineering #Health Monitoring and Life Prediction of Structures #High Performance Concrete #Hydraulic Engineering #Life Cycle Engineering #Materials and Durability #Materials Engineering #Mechanics and Materials Aspects of Advanced Construction Materials #Municipal or Urban Engineering #Nondestructive Testing and Evaluation #Numerical Modelling of Structures #Optimal Design of Structures #Properties and Mechanics of Concrete #Residential, Commercial, Industrial and Public Works #Seismic Evaluation of Building Nonstructural Components #Simulation Optimization and Risk Management #Soil-Structure Interaction #Structural Engineering #Structural Evaluation of Panelized and Masonry Wall Systems #Structural Reliability Analysis #Surveying #Sustainable Structures #Transportation Engineering #Ventilation and Indoor Air Quality #Water Supply and Drainage #PhD ademic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #ESCI #Science #Journal #Conference #SSRN #PubLons #PhD #Academic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #LatticeScience #ESCI #Science #Journal #Conference #SSRN #PubLons

Attendance Monitoring System of Schools in the Philippines with an Inclusion of Optimization Query Algorithm
Arman Bernard G. Santos¹, Neil P. Balba², Corazon B. Rebong³
¹Arman Bernard G. Santos*, Professor & Research Director, Asia Technological School of Science and Arts Sta. Rosa, Laguna Philippines.
²Neil P. Balba, Professor & Director, Center for Innovation and Development Lyceum of the Philippines University, Laguna,
³Corazon B. Rebong, Professor & Vice President for Academics Colegio de San Juan de Letran-Calamba Calamba, Laguna Philippines.
Manuscript received on June 02, 2021. | Revised Manuscript received on June 15, 2021. | Manuscript published on June 30, 2021. | PP: 142-146 | Volume-10, Issue-8, June 2021 | Retrieval Number: 100.1/ijitee.H91490610821| DOI: 10.35940/ijitee.H9149.0610821
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: In this paper, researchers had provided definite solutions in order to check and validate student attendance with the use of computerized seat plans along with the information and image of each student. This study also discussed the inclusion of Optimization Query Algorithm in order to identify and monitor student’s punctuality as well as the analysis of the reasons why they fail to attend their class. Attendance patterns are formed early in life because it validates one of the components of student’s academic and scholastic performance. Regular attendance is vital part of the grading component necessary to attain some portion of the student’s academic progress. You are missing out on active learning experiences and class attendance. As a result, they are more likely to to fail which tends to affect their academic performances. Index Terms: Drag, Drop, Re-Arrange, Images, Reports, Schedule, Load, Computer-Based Systems.
Keywords: The Reasons Why They Fail To Attend Their Class.

Download PDF

The post H91490610821 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

H92660610821

IJITEE Journal — Thu, 06 Jan 2022 06:01:27 +0000

Evaluation of Supervised Classification Techniques on Twitter Data using R
Annie Syrien¹, M. Hanumanthappa², Ravi Kumar K³
¹Annie Syrien*, Assistant Professor, Department of Computer Science and Applications, Bangalore University, (Bengaluru), India.
²Hanumanthappa M, Professor, Department of Computer Science and Applications, Bangalore University, (Bengaluru), India
³Ravi Kumar K, Scholar, Kalinga Institute of Industrial Management (KIIT), Bhubaneswar, (Odisha), India.
Manuscript received on June 20, 2021. | Revised Manuscript received on June 25, 2021. | Manuscript published on June 30, 2021. | PP: 137-141 | Volume-10, Issue-8, June 2021 | Retrieval Number: 100.1/ijitee.H92660610821| DOI: 10.35940/ijitee.H9266.0610821
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: The phenomenal development of the World Wide Web has resulted in enormous social networking sites producing tremendous data on web 2.0. Social networking sites have widened to a higher degree of use, in which any field of information can be sort by researchers. Data obtained from social media has strategized from many new machine learning algorithms and natural language processing. The data is unstructured; mining the data leads to finding important sentiments about various entities via appropriate classification techniques. In this paper, tweets’ opinions are analyzed through machine learning algorithms such as naive Bayes and support vector machines using R programming; results are computed and compared. The SVM model manifests the higher precision, and naïve Bayes provides higher accuracy for sentiment analysis on the Bengaluru traffic data.
Keywords: Machine Learning Algorithms, Sentiment Classification, Text Mining, Twitter.

Download PDF

The post H92660610821 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

G88730510721

IJITEE Journal — Thu, 06 Jan 2022 05:53:52 +0000

Financial Fraud Detection in Plastic Payment Cards using Isolation Forest Algorithm
Ankaj Kumar¹, Gouri Sankar Mishra², Parma Nand³, Madhav Singh Chahar⁴, Sonu Kumar Mahto⁵
¹Ankaj Kumar, Department of Computer Science and Engineering, Sharda University, Greater Noida (Uttar Pradesh), India.
²Gouri Sankar Mishra, Department of Computer Science and Engineering, Sharda University, Greater Noida (Uttar Pradesh), India.
³Parma Nand, Department of Computer Science and Engineering, Sharda University, Greater Noida (Uttar Pradesh), India.
⁴Madhav Singh Chahar, Department of Computer Science and Engineering, Sharda University, Greater Noida (Uttar Pradesh), India.
⁵Sonu Kumar Mahto*, Department of Computer Science and Engineering, Sharda University, Greater Noida (Uttar Pradesh), India.
Manuscript received on April 28, 2021. | Revised Manuscript received on June 13, 2021. | Manuscript published on June 30, 2021. | PP: 132-136 | Volume-10, Issue-8, June 2021 | Retrieval Number: 100.1/ijitee.G88730510721| DOI: 10.35940/ijitee.G8873.0610821
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: The need for technology has always found space in Financial Transaction as the number of fraud in financial transactions increases day by day. In this research we have proposed a new methodology by using the isolation forest algorithm and local outlier detection algorithm to detect the financial fraud. A standard data set is used in experimentation to classify a transaction occurred is a fraudulent or not. We have used neural networks and machine learning for classification. We have focused on the deployment of anomaly detection algorithms that is Local Outlier Factor and Isolation Forest algorithm (IFA) on financial fraud transactions data.
Keywords: In This Research We Have Proposed A New Methodology By Using The Isolation Forest Algorithm And Local Outlier Detection Algorithm To Detect The Financial Fraud.

Download PDF

The post G88730510721 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

H92490610821

IJITEE Journal — Thu, 06 Jan 2022 05:47:14 +0000

Pothole Dection Syatem in Vehicle
Sabarikanth KK
Sabarikanth KK*, ME Industrial Safety Engineering, Bannari Amman Institute of Technology, Sathyamangalam (Tamil Nadu), India.

Manuscript received on June 17, 2021. | Revised Manuscript received on June 24, 2021. | Manuscript published on June 30, 2021. | PP: 127-131 | Volume-10, Issue-8, June 2021 | Retrieval Number: 100.1/ijitee.H92490610821| DOI: 10.35940/ijitee.H9249.0610821
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: In India major road accident is based on potholes. To identify this potholes and humps in roads may reduces the road accident and also reduces the damages in cars and bike. To identify the holes and humps or speed breakers, the ultra sonic sensor, display board and buzzer also used in it. Project is mainly used in the prototype model of the vehicle which has the capable to find holes and humps in the road. When the vehicle identify the holes and hump it started showing the distance of obstacles, once the distance of obstacles reduced to 10m range the buzzer gives the alarm signals to drives that obstacles is near to vehicle so that they can reduces the speed of the vehicle and go slow through the obstacles or they can change the path. The display board given near the dash board that drivers can easily view the board and buzzer is given inside the vehicles and ultrasonic sensors given in the front of the bumper so it act efficiently. Here the arduino board is used for the power supply and programs, so this project reduces the accident occurs in the road due to holes and humps.
Keywords: Potholes, Buzzer, Ultra Sonic Sensor, Humps.

Download PDF

The post H92490610821 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

H92640610821

IJITEE Journal — Thu, 06 Jan 2022 05:42:59 +0000

Design of SMPS Buck Converter with Protection Circuits for Automotive Charger
Raveena Jokim Crastha¹, Roopa M²
¹Ms. Raveena Jokim Crastha*, Master’s, Digital Electronics and Communication Specialization, Dayananda Sagar College of Engineering, Bengaluru, India.
²Dr. Roopa M, Professor, Department of Electronics and Communication at Dayananda Sagar College of Engineering, Bengaluru, India.
Manuscript received on June 19, 2021. | Revised Manuscript received on June 26, 2021. | Manuscript published on June 30, 2021. | PP: 120-126 | Volume-10, Issue-8, June 2021 | Retrieval Number: 100.1/ijitee.H92640610821| DOI: 10.35940/ijitee.H9264.0610821
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: The automotive manufacturers are working towards enhancing sophisticated designs and technologies that enable better vehicle-user connectivity by integrating all the control units to one infotainment system. This key feature with high-level intelligence and competency plays an important role with an increase in demand in the production process of the automotive industry. This paper proposes a unique design of USB smart charger module that is designed in a way to fit into limited space in a front panel of the vehicle. The specific design methodology of the DC-DC SMPS buck converter with the protection circuits which serves as the important section of the smart charger is explained. The module is designed with both single and double port that are identical to each other. Each of these models provides effective connectivity of devices in the vehicle network with secured over-current, over-voltage and short circuit protection circuitry. The configuration of controllers and connectors used is implemented in Altium. The functionality of the system designed is examined and verified in TINA-TI tool.
Keywords: Electromagnetic Compatibility, Switched Mode Power Supply, Universal Serial Bus.

Download PDF

The post H92640610821 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

H92610610821

IJITEE Journal — Thu, 06 Jan 2022 05:38:20 +0000

D-STATCOM Control using SRFT Method for PQ Improvement in a PV System
Namratha Sampath¹, P.V.S.S.A Parimala²
¹Namratha Sampath*, Department of Electrical and Electronics Engineering, G. Narayanamma Institute of Technology and Science, Hyderabad, India.
²P.V.S.S.A Parimala, Department of Electrical and Electronics Engineering, G. Narayanamma Institute of Technology and Science, Hyderabad, India.
Manuscript received on June 19, 2021. | Revised Manuscript received on June 27, 2021. | Manuscript published on June 30, 2021. | PP: 113-119 | Volume-10, Issue-8, June 2021 | Retrieval Number: 100.1/ijitee.H92610610821| DOI: 10.35940/ijitee.H9261.0610821
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: The set of restrictions defined for a system’s electrical characteristics so that the entire electrical system can function in the intended manner and without losses is known as power quality. Power quality issues such as transients, harmonics, voltage swell, sag, flicker, fluctuations, and power factor difficulties are becoming more common as power electronic devices become more widely used. The usage of a Distribution Static Compensator (D-STATCOM) to mitigate power quality issues is discussed in this study. In this case, D-STATCOM functions as a shunt active power filter to reduce harmonics caused by non-linear loads. The simulation studies on a PV-based Cascaded-H-Bridge Multi-Level Inverter i.e Solar PV and Cascaded H Bridge MLI are integrated using Selective Harmonic Elimination method with D-STATCOM injected at the load side to improve power quality are presented in this project. The Solar PV system is mathematically modelled using Boost regulator and P&O MPPT technique and to the D-STATCOM the controller is designed utilizing Synchronous Reference Frame Theory (SRFT) out of many control strategies for reactive power compensation, harmonic mitigation, and power factor enhancement as it is more accurate. A 2nd order low pass filter is employed at the load side to reduce the harmonics to some extent, and both 5-level and 7-level models are evaluated. MATLAB/SIMULINK is used for simulation.
Keywords: Multi-level Inverter (MLI), PV System, Boost converter, P&O (Perturb and Observe) Cascaded H-Bridge (CHB), Selective Harmonic Elimination (SHE), D-STATCOM, Voltage Source Converter (VSC), SRFT, PI controller, Hysteresis Controller, 2nd order low pass filter.

Download PDF

The post H92610610821 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

H92510610821

IJITEE Journal — Thu, 06 Jan 2022 05:34:08 +0000

Implementation of Fuzzy Logic Controller for DC–DC step Down Converter
Shaik Gousia begum¹, Syed Sarfaraz Nawaz², G. Sai Anjaneyulu³
¹Shaik Gousia Begum*, EEE (Power Electronics), GRIET (JNTUH), Hyderabad, India.
²Syed Sarfaraz Nawaz, EEE Department, GRIET (JNTUH), Hyderabad, India.
³G. Sai Anjaneyulu, EEE (Power Electronics), GRIET (JNTUH), Hyderabad, India.
Manuscript received on June 17, 2021. | Revised Manuscript received on June 25, 2021. | Manuscript published on June 30, 2021. | PP: 109-112 | Volume-10, Issue-8, June 2021 | Retrieval Number: 100.1/ijitee.H92510610821| DOI: 10.35940/ijitee.H9251.0610821
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: This paper presents the design of a Fuzzy logic controller for a DC-DC step-down converter. Buck converters are step-down regulated converters which convert the DC voltage into a lower level standardized DC voltage. The buck converters are used in solar chargers, battery chargers, quadcopters, industrial and traction motor controllers in automobile industries etc. The major drawback in buck converter is that when input voltage and load change, the output voltage also changes which reduces the overall efficiency of the Buck converter. So here we are using a fuzzy logic controller which responds quickly for perturbations, compared to a linear controllers like P, PI, PID controllers. The Fuzzy logic controllers have become popular in designing control application like washing machine, transmission control, because of their simplicity, low cost and adaptability to complex systems without mathematical modeling So we are implementing a fuzzy logic controller for buck converter which maintains fixed output voltage even when there are fluctuations in supply voltage and load. The fuzzy logic controller for the DC-DC Buck converter is simulated using MATLAB SIMULINK. The proposed approach is implemented on DC-DC step down converter for an input of 230V and we get the desired output for variations in load or references. This proposed system increases the overall efficiency of the buck converter.
Keywords: DC-DC Buck Converter, Fuzzy Logic Controller, Pulse Width Modulation (PWM), MATLAB SIMULINK.

Download PDF

The post H92510610821 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

H92620610821

IJITEE Journal — Thu, 06 Jan 2022 05:28:49 +0000

Virtual Sketch using Open CV
Pranavi Srungavarapu¹, Eswar Pavan Maganti², Srilekkha Sakhamuri³, Sai Pavan Kalyan Veerada⁴, Anuradha Chinta⁵
¹Pranavi Srungavarapu*, Department of Computer Science and Engineering, VR Siddhartha Engineering College, Kanuru (A.P), India.
²Eswar Pavan Maganti, Department of Computer Science and Engineering,, VR Siddhartha Engineering College, Kanuru (A.P), India.
³Srilekkha Sakhamuri, Department of Computer Science and Engineering College, VR Siddhartha Engineering College, Kanuru (A.P), India.
⁴Sai Pavan Kalyan Veerada, Department of Computer Science and Engineering, VR Siddhartha Engineering College, Kanuru (A.P), India.
⁵Anuradha Chinta, Department of Computer Science and Engineering, VR Siddhartha Engineering College, Kanuru (A.P), India.
Manuscript received on June 20, 2021. | Revised Manuscript received on June 23, 2021. | Manuscript published on June 30, 2021. | PP: 107-108 | Volume-10, Issue-8, June 2021 | Retrieval Number: 100.1/ijitee.H92620610821| DOI: 10.35940/ijitee.H9262.0610821
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: Virtual Sketch is in where we can draw by just capturing the motion of a colored marker with a camera. One colored object at the tip of the finger is mainly used as the marker. We are here now, using the techniques of computer vision in open cv to build this project. The required language for this project is python due to its more exhaustive libraries and easy to make use of the syntax and but understanding the basics as well as it can be implemented in any open cv supported languages The colour tracking and detection processes are used to achieve the goal of this project. The color marker here used is detected and mask is produced. The next steps of morphological operations on the mask produced those are Erosion and Dilation. Erosion makes the impurities present in the mask to get reduced and Dilation further regains the eroded main mask.
Keywords: Open CV, Python, Erosion, Dilation, Color Tracking, Color Detection, Mask.

Download PDF

The post H92620610821 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

H92420610821

IJITEE Journal — Wed, 05 Jan 2022 12:01:39 +0000

A Comprehensive Overview on Cybersecurity: Threats and Attacks
Preetha S¹, P. Lalasa², Pradeepa R³
¹Preetha S*, Department of ISE, B.M.S. College of Engineering, VTU, Bengaluru (Karnataka), India.
²P. Lalasa, Department, department of ISE, B.M.S. College of Engineering, VTU, Bengaluru (Karnataka), India.
³Pradeepa R, Department of ISE, B.M.S. College of Engineering, VTU, Bengaluru (Karnataka), India.
Manuscript received on May 23, 2021. | Revised Manuscript received on May 29, 2021. | Manuscript published on June 30, 2021. | PP: 98-106 | Volume-10, Issue-8, June 2021 | Retrieval Number: 100.1/ijitee.H92420610821 | DOI: 10.35940/ijitee.H9242.0610821
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: In the world of evolving technologies, we are being driven by online transaction, AI technologies and automated processes. With the increased use of technologies in our life, the cybercrimes have amplified. Various new attacks, tools and techniques have been developed which allow the attackers to access more complex and well-managed systems, creating damage and even remain untraceable. The statistics about cyber crime tell that as of 2021 January, google has registered around 2 million phishing websites. In 2019 around 93.6% of observed malware was polymorphic, which means it changes the code continuously to evade detection. According to FBI and internet crime complaint center 2020crime report has doubled compared to 2019. International Data Corporation predicts that global spending on cybersecurity solutions will reach $133.7 billion by 2022 as cyber threats continue to increase. Governments around the world have acknowledged to growing cyber-attacks by providing directions to organizations implementing efficient cybersecurity practices. Cybersecurity protects computer systems and networks from creating damage to hardware and software, information disclosure, theft and from the interference or misdirection of the services they provide. The need to understand different kinds of cybercrime. In order to develop necessary measures against cybercrime, we need to understand different kinds of cybercrime. Our paper gives you an overview of various types of cyber-crime like malware, phishing, zero-day exploit, Advanced Persistent Threat (APT). The study provides an overview to different preventive existing solutions proposal and methods to detect attack. A strong understanding of such attacks would benefit us to be cautious and develop effective solutions.
Keywords: Attacks, Cybercrime, Cybersecurity, Malware Detection, Preventive.

Download PDF

The post H92420610821 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).

H92410610821

IJITEE Journal — Wed, 05 Jan 2022 11:51:10 +0000

A Novel Approach of Image Fusion Techniques using Ant Colony Optimization
Jyoti S. Kulkarni¹, Rajankumar S. Bichkar²
¹Jyoti S. Kulkarni*, Assistant Professor, Pimpri Chinchwad College of Engineering, Pune (Maharashtra), India.
²Rajankumar S. Bichkar, Principal, Vidya Pratishthan’s Kamalnayan Bajaj Institute of Engineering and Technology, Baramati (Maharashtra), India.
Manuscript received on May 23, 2021. | Revised Manuscript received on May 29, 2021. | Manuscript published on June 30, 2021. | PP: 92-97 | Volume-10, Issue-8, June 2021 | Retrieval Number: 100.1/ijitee.H92410610821 | DOI: 10.35940/ijitee.H9241.0610821
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: Ant Colony Optimization (ACO) is a relatively high approach for finding a relatively strong solution to the problem of optimization. The ACO based image fusion technique is proposed. The objective function and distance matrix is designed for image fusion. ACO is used to fuse input images at the feature-level by learning the fusion parameters. It is used to select the fusion parameters according to the user-defined cost functions. This algorithm transforms the results into the initial pheromone distribution and seeks the optimal solution by using the features. As to relevant parameters for the ACO, three parameters (α, β, ρ ) have the greatest impact on convergence. If the values of α, β are appropriately increased, convergence can speed up. But if the gap between these two is too large, the precision of convergence will be negatively affected. Since the ACO is a random search algorithm, its computation speed is relatively slow.
Keywords: Convergence, Heuristic, Pheromone.

Download PDF

The post H92410610821 appeared first on International Journal of Innovative Technology and Exploring Engineering (IJITEE).