Volume-9 Issue-4, April 2020 – International Journal of Engineering and Advanced Technology (IJEAT)

D7226049420

IJEAT Journal — Sat, 11 Feb 2023 12:15:16 +0000

The International Journal of Engineering and Advanced Technology (IJEAT) has ISSN: 2249-8958 (online), an open-access, peer-reviewed, periodical bi-monthly international journal, which is published by Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) in February, April, June, August, October 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

Behavior of Steel Slag Concrete Subjected to Elevated Temperature
Ahmed Atef¹, Khaled samy², Mohamed Kohail³, Omar El Nawawy⁴
¹Ahmed Atef, Department of Civil Engineering, The higher institute in 5th settlement, Cairo, Egypt.
²Omar El Nawawy, Structural Engineering Department, Ain Shams University, Cairo, Egypt.
³Mohamed Kohail, Structural Engineering Department, Ain Shams University, Cairo, Egypt.
⁴Khaled Samy, Department of Civil Engineering, The higher institute in 5th settlement, Cairo, Egypt.
Manuscript received on April 05, 2020. | Revised Manuscript received on April 25, 2020. | Manuscript published on April 30, 2020. | PP: 1165-1171 | Volume-9 Issue-4, April 2020. | Retrieval Number: D7226049420/2020©BEIESP | DOI: 10.35940/ijeat.D7226.049420
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: Recycling of materials has become a major interest for engineers. At present, the amount of slag deposited in storage yard adds up to millions of tons/year leading to the occupation of farm land and serious pollution to the environment, as a result of the rapid growth in the steel industry. Steel slag is made at 1500- 1650°C having a honey comp shape with high porosity. Using steel slag as the natural aggregate with a lower waste material cost can be considered as a good alternative for sustainable constructions. The objective of this study is to evaluate the performance of residual mechanical properties of concrete with steel slag as coarse aggregate partial replacement after exposing to high temperatures .This study investigates the behavior of using granulated slag as partial or fully coarse aggregate replacement with different percentages of 0%, 15%, 30%, 50% and 100% in concrete when subjected to elevated temperatures. Six groups of concrete mixes were prepared using various replacement percentages of slag exposed to different temperatures of 400 °C, 600 °C and 800 °C for different durations of 1hr, 1.5hr and 2hr. Evaluation tests were compressive strength, tensile strength, and bond strength. The steel slag concrete mixes showed week workability lower than control mix. A systematic increasing of almost up to 21.7% in compressive strength, and 66.2% in tensile strength with increasing the percentage of steel slag replacement to 50%. And the results showed improvement on concrete residual mechanical properties after subjected to elevated temperatures with the increase of steel slag content. The findings of this study give an overview of the effect of steel slag coarse aggregate replacement on concrete after exposed to high temperatures.
Keywords: Residual mechanical properties Granulated steel slag, elevated temperatures, durations.

Download PDF

The post D7226049420 appeared first on International Journal of Engineering and Advanced Technology (IJEAT).

D7308049420

IJEAT Journal — Wed, 17 Nov 2021 09:40:41 +0000

CNN-BLSTM Joint Technique on Dynamic Shape and Appearance of FACS
Nazmin Begum¹, A Syed Mustafa²
¹Mrs. Nazmin Begum*, Assistant Professor, Department of Computer Science & Engineering, Dayananda Sagar University, Bengaluru, Karnataka , India.
²Dr. Syed Mustafa, Professor and Head of the Department, Department of ISE, HKBK College of Engineering, Bengaluru, Karnataka , India.
Manuscript received on March 28, 2020. | Revised Manuscript received on April 25, 2020. | Manuscript published on April 30, 2020. | PP: 1754-1757 | Volume-9 Issue-4, April 2020. | Retrieval Number: D7308049420/2020©BEIESP | DOI: 10.35940/ijeat.D7308.049420
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: Facial recognition is a process where we can identify or verify a person from digital image or videos and is used in ID verification services , protecting law enforcement ,preventing retail crime etc. Past work on automatic analysis of facial expression focuses on detecting the facial expression and exploiting the dependencies among AU’s. But, spontaneous detection of facial expression depending on various factors such as shape, appearance and dynamics is very difficult. Joint learning of shape , appearance and dynamics is done by a deep learning technique. This includes a convolutional neural networks and bidirectional long short term memory(CNN-BLSTM). This combination of CNN-BLSTM excels the modeling of temporal information. FERA2015 dataset achieves the state of art.
Keywords: Bidirectional LSTM, Convolutional Neural Networks, Face Recognition.

Download PDF

The post D7308049420 appeared first on International Journal of Engineering and Advanced Technology (IJEAT).

D8912049420

IJEAT Journal — Tue, 16 Nov 2021 11:16:58 +0000

Mouse Movement through Finger by Image Grabbing
G Nagendra Babu¹, Anees Ahamed Baig², Chaganti Sai Sree³, Eedhi Akhilandeswari⁴
¹Nagendra Babu Gugulothu*, Asst. Professor, Department of Electronics and Communications, PSCMR College of engineering and technology At Vijayawada.
²Anees Ahamed Baig, Student, B.Tech in Potti Sriramulu Chalavadi Mallikharjuna Rao College of engineering and technology, Vijayawada
³Sai Sree Chaganti, Student, PSCMRCET, Electronics and Communication Engineering
⁴Akhilandeswari Eedhi, Student, PSCMRCET, Electronics and Communication Engineering
Manuscript received on March 28, 2020. | Revised Manuscript received on April 25, 2020. | Manuscript published on April 30, 2020. | PP: 1703-1708 | Volume-9 Issue-4, April 2020. | Retrieval Number: D8912049420/2020©BEIESP | DOI: 10.35940/ijeat.D8912.049420
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: Touch less Interactive screen or system is an upcoming technology in the real life world, which will be another biggest realization followed by the technologies based on the monitors cove as PC monitor, TV Screens without a stroke or touch. The aim of this project is to develop a touch less interactive screen which helps to ease the controlling of any kind of monitors. Project is based on MATLAB platform. In this work, the finger gestures which are captured by a webcam and that will be converted into mouse movements to control the screen. Various Analysis result has included in the report to show the feasibility of the application of this development. A Graphical Interface User (GUI) is developed to let the user to choose perform calibration and number of times it’s required to perform calibration and to trigger the program upon user’s request.
Keywords: Digital image processing, object detection, window screensyn chronization, GUI analysis, gesture control, and image grabbing

Download PDF

The post D8912049420 appeared first on International Journal of Engineering and Advanced Technology (IJEAT).

D7052049420

IJEAT Journal — Mon, 15 Nov 2021 10:03:20 +0000

Velocity and Turbulent flow field at around the cylindrical Pier
R. Karthik¹, U. Kumar², A.K. Barbhuiya³
¹R. Karthik*, Civil Engineering department, National Institute of Technology Silchar, Assam, India.
²U. Kumar, Civil Engineering department, National Institute of Technology Silchar, Assam, India.
³A.K. Barbhuiya, Civil Engineering department, National Institute of Technology Silchar, Assam, India.
Manuscript received on March 12, 2020. | Revised Manuscript received on March 28, 2020. | Manuscript published on April 30, 2020. | PP: 534-547 | Volume-9 Issue-4, April 2020. | Retrieval Number: D7052049420/2020©BEIESP | DOI: 10.35940/ijeatD7052.049420
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 experimental study shows the velocity and turbulence field at vicinity of cylindrical pier with scour hole under clear water condition. The three dimensional velocity data were obtained at 5 cm, 10 cm, 20 cm and 30 cm from the pier with use of Acoustic Doppler Velocimeter at 360 degrees around the pier with 30-degree interval. The flow behaviour were extensively analyzed with the help of time averaged normalized velocity, Turbulent intensity, Turbulent kinetic energy and Reynolds shear stress plots. The study shows the flow behaviour at inside the scour hole, at scour hole ring and outside the scour hole which gives the elusive view of flow at vicinity of pier. An upstream side pier, the flow behaviour almost follows the similar trend but behind a cylinder the flow is asymmetry due to wake vortex and vortex shedding found at the wake region. This study offers an ample cognizance of flow structure at vicinity of circular pier, which is essential in order to design an effective scour control structures like rip-rap, W weir, vanes, slot and etc.
Keywords: ADV, Bridge, Flow measurement, Local scour, open channel, Pier.

Download PDF

The post D7052049420 appeared first on International Journal of Engineering and Advanced Technology (IJEAT).

C5013029320

IJEAT Journal — Mon, 15 Nov 2021 08:42:46 +0000

Biomass Stand-Alone System for Power Supply Option to Remote/Isolated Locations
Boniface Onyemaechi Anyaka¹, Uche Chinweoke Ogbuefi², Mbunwe Muncho Josephine³, Kenneth Chijioke Chike⁴, Prince Anthony Okoro⁵
¹B.O. Anyaka*, Department of Electrical Engineering, University of Nigeria, Nsukka, Enugu State, Nigeria.
²U.C. Ogbuefi, Department of Electrical Engineering, University of Nigeria, Nsukka, Enugu State, Corresponding.
³M.J. Mbunwe, Department of Electrical Engineering, University of Nigeria, Nsukka, Enugu State. Corresponding author:
⁴K. C. Chike, Department, University of Nigeria, Nsukka, Post graduate hall residence, Nsukka.
⁵P. A. Okoro, Department of Electrical Engineering, University of Nigeria, Nsukka, Enugu State, Nigeria.
Manuscript received on February 01, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 162-168 | Volume-9 Issue-3, February, 2020. | Retrieval Number: C5013029320/2020©BEIESP | DOI: 10.35940/ijeat.C5013.029320
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: Reliability and continuity of electricity supply generated by the use of fossil fuels cannot be guaranteed absolutely because of the present decline in oil and gas. Because of this, it becomes necessary to consider another form of energy generation such as biomass. In this work, the potential of electricity generation for a small household rural/isolated location using combustion technique was done. Due to the availability of sufficient biomass (agricultural waste) in rural/isolated locations, rice husk combustion technique for biopower generation was investigated in this work. The experiment was conducted at Uburu in Ohaozara Local Government Area of Ebonyi State. A 12V permanent magnet DC motor was used as the alternator while rice husk was used as biomass fuel. The biopower was achieved by heating water to steam which was used to turn the turbine attached to the permanent DC motor and a maximum of 155Whr was generated. From the result, it can be seen that the typical load of a household in a rural/isolated location is 55W and the peak experimental power is 154.96W. This peak experimental power is sufficient to carry the household load in a rural/isolated location. The peak experimental energy value is 1549.6Whr in a 10 minutes interval which is far more than the energy demand of 260Whr in a typical household in rural/isolated location. The result shows that biomass can be used to generate power for lighting point and power outlet for small households in rural/isolated locations.
Keywords: Rice husk, power generation, rural/isolated locations, permanent magnet DC motor.

Download PDF

The post C5013029320 appeared first on International Journal of Engineering and Advanced Technology (IJEAT).

B4500129219

IJEAT Journal — Mon, 15 Nov 2021 06:24:17 +0000

GLCM – SVM based Classification of Brain MRI with K-Means Clusters
B.Thamaraichelvi
B.Thamaraichelvi*, Department of Electrical Engineering, Annamalai University,Chidambaram,Tamil Nadu, India.
Manuscript received on February 01, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 100-104 | Volume-9 Issue-3, February, 2020. | Retrieval Number: B4500129219/2020©BEIESP | DOI: 10.35940/ijeat.B4500.029320
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 proposed method, MR Brain image segmentation technique based on K-means clustering combined with Discrete Wavelet Transform (DWT) based feature extraction and Gray Level Co-Occurrence Matrix (GLCM) based feature selection approach has been presented. A Perfect Radial Basis Function (RBF) – Support Vector Machine (SVM) Classifier has been selected for this process. The Performance of the classifier was estimated through accuracy based on the fractions selectivity and sensitivity. Accuracy of the proposed classifier was found to be 93%. Moreover, in this proposed method, instead of selecting the cluster centres in a random manner, Histogram technique was used.
Keywords: Centroid selection, Discrete Wavelet Transforn (DWT), GLCM feature selection, Histon formation, K-means clustering, RBF-SVM Classifier.

Download PDF

The post B4500129219 appeared first on International Journal of Engineering and Advanced Technology (IJEAT).

B4033129219

IJEAT Journal — Mon, 15 Nov 2021 06:10:45 +0000

Determination of Characteristics of Dc Motors used in Light Motor Electric Vehicles using Inter-Operable Cad & Femm
Dhananjaya B.¹, Satyendra Kumar²
¹Dhananjaya B, Assistant Professor grade in the Department of EEE at Canara Engineering College Mangalore.
²Dr.Satyendra Kumar, Professor grade in the Department of EEE at NMAMIT, Nitte.
Manuscript received on February 01, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 85-92 | Volume-9 Issue-3, February, 2020. | Retrieval Number: B4033129219/2020©BEIESP | DOI: 10.35940/ijeat.B4033.029320
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: Electric vehicles (EV’s) were invented and had been a part of transportation industry before 1900’s. Being popular, they had good turn outs in the market till 1918. As the inventions of internal combustion engines grew in the transportation industry, EV’s usage started to die. The usage of EV’s was totally zero by 1933, due to slow response and high expenses. The shortcomings faced by EV’s then, are not overcome totally till date. Advancement in the field of Microelectronics and power electronics have made EV power trains competitive with ICE power trains. The developments in the materials and manufacturing technologies provide optimistic battery. The vital factors that revive EV’s: cost of energy, energy independency, pollution free operation. The upcoming shortage of fossil fuels, shortage of supply, growing demands and their cost have made people look around for an alternative mode of transportation. As electricity production can be made from different energy resources, EV’s promise to be a future of vehicles. However the recharging can be done when there is excess energy in power utilities. The biggest reason of interest towards EV’s is environmental factors such as reduction in air pollution in congested traffics thereby meeting national energy strategy policies.
Keywords: EV, ICEV, PMBLDC Motor, FEM.

Download PDF

The post B4033129219 appeared first on International Journal of Engineering and Advanced Technology (IJEAT).

D9091049420

IJEAT Journal — Mon, 15 Nov 2021 03:33:23 +0000

Crime Analysis using Machine Learning Algorithm
G. Raj Kumar¹, Kothamasu G.V Saikumar², Dupuguntla Vaibhav Gopinath³, Vemisetty Rrochish⁴
¹G. Raj kumar M.TECH*, Assitant professor(Sr.G) , Department of CSE SRM Institute of science and Technology ,Chennai, Tamilnadu,, India.
²Kothamasu G.V Saikumar Department of CSE, SRM Institute of Science andTechnology chennai, Tamilnadu, India
³Dupuguntla Vaibhav Gopinath Department of CSE,SRM Institute of Science and Technology ,Chennai, Tamilnadu, India.
⁴Vemisetty Rrochish Department of CSE,SRM Institute of Science and Technology ,Chennai, Tamilnadu, India.
Manuscript received on March 28, 2020. | Revised Manuscript received on April 25, 2020. | Manuscript published on April 30, 2020. | PP: 2195-2198 | Volume-9 Issue-4, April 2020. | Retrieval Number: D9091049420/2020©BEIESP | DOI: 10.35940/ijeat.D9091.049420
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: Counteraction is better that Cure. Forestalling a wrongdoing from happening is superior to examining what or how the wrongdoing had happened. When I pick out do expand this venture the fundamental hassle is growing the centralized server. Awful conduct scene want has relies mostly on the certain awful conduct record and various geospatial and part data. In existing machine they’re proposed only getting the crime from the consumer most effective until now they didn’t have system for prediction the crime. Wrongdoing that happens nowadays are have following key qualities, for example, violations rehashing in an occasional style, wrongdoings happening because of some other action and event of violations pre shown by some other data .In our proposed system we overcome that answer and we enforce the Prediction System. We need to accumulate raw facts and method in addition. We use Random forest Algorithm.
Keywords: Machine learning , Random Forest Algorithm.

Download PDF

The post D9091049420 appeared first on International Journal of Engineering and Advanced Technology (IJEAT).

D9065049420

IJEAT Journal — Mon, 15 Nov 2021 03:24:32 +0000

Solar Based Smart Lawn Mower
R.S.Keote¹, Prasanna Kale², Chaitanya Raut³, Bhaskar Samavedula⁴, Rutuja Khawade⁵, Abhijeet Dumanwar⁶
¹Prof. R.S.Keote*, Department of Electronics and Telecommunication, Yeshwantrao Chavan College of Engineering, Nagpur, India.
²Prasanna Kale, Department of Electronics and Telecommunication, Yeshwantrao Chavan College of Engineering, Nagpur, India.
³Chaitanya Raut, Department of Electronics and Telecommunication, Yeshwantrao Chavan College of Engineering, Nagpur, India.
⁴Bhaskar Samavedula, Department of Electronics and Telecommunication, Yeshwantrao Chavan College of Engineering, Nagpur, India.
⁵Rutuja Khawade, Department of Electronics and Telecommunication, Yeshwantrao Chavan College of Engineering, Nagpur, India.
⁶Abhijeet Dumanwar , Department of Electronics and Telecommunication, Yeshwantrao Chavan College of Engineering, Nagpur, India.
Manuscript received on March 28, 2020. | Revised Manuscript received on April 25, 2020. | Manuscript published on April 30, 2020. | PP: 2190-2194 | Volume-9 Issue-4, April 2020. | Retrieval Number: D9065049420/2020©BEIESP | DOI: 10.35940/ijeat.D9065.049420
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: Our lawn mower is a self grass cutting vehicle running on solar energy which avoiding obstacles, increases the capability of complete mechanized grass cutting devoid of any necessity of any human intervention. Our structure requires a couple of 12V batteries to influence up the motors of the blades and for the movement. Lawn mowing is regarded as one of the most boring or tiring everyday jobs. It is also very reliable private robotic applications. The principle of this paper is to study and re-define the art in robotic lawn mowers to highlight the needs and capabilities of today’s devices. A brief survey of available products, some patents and typical test bed prototypes are also provided. Some enabling techniques that make the vehicles more efficient are also suggested. We have utilized a solar board i.e. solar panel to charge the batteries the lawn mower and robot motors are interfaced to an Arduino Uno which governs the implementation of each motor. It is additionally used to interface an ultrasonic sensor for obstacle recognition and IR sensors for stopping the vehicle. The importance of this research lies in the presentation of an overview of a potential big market for personal vehicles.
Keywords: Grass-Cutter, Solar-panel, IR Sensor, Arduino Uno, DC Motor.

Download PDF

The post D9065049420 appeared first on International Journal of Engineering and Advanced Technology (IJEAT).

D7843049420

IJEAT Journal — Mon, 15 Nov 2021 03:15:17 +0000

Deep Convolutional Neural Network based Image Steganogrpahy Technique for Audio-Image Hiding Algorithm
D.Rathna Kishore¹, D.Suneetha², P.Narendra Babu³, P.Chinababu⁴
¹Dr.D.Rathna Kishore*, Professor, Department of CSE, NRIIT, Vijayawada, A.P, India.
²Dr.D.Suneetha, Professor, Department of CSE, NRIIT, Vijayawada, A.P, India.
³Mr.P.Narendra Babu, Associate Professor, Department of CSE, NRIIT, Vijayawada, A.P, India.
⁴P.Chinababu, Assistant Professor, Department of CSE, LIMAT, Vijayawada, A.P, India.
Manuscript received on March 29, 2020. | Revised Manuscript received on April 27, 2020. | Manuscript published on April 30, 2020. | PP: 2187-2189 | Volume-9 Issue-4, April 2020. | Retrieval Number: D7843049420/2020©BEIESP | DOI: 10.35940/ijeat.D7843.049420
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: Steganography is one expanding filed in the area of Data Security. Steganography has attractive number of application from a vast number of researchers. The most existing technique in steganogarphy is Least Significant Bit (LSB) encoding. Now a day there has been so many new approaches employing with different techniques like deep learning. Those techniques are used to address the problems of steganography. Now a day’s many of the exisiting algorithms are based on the image to data, image to image steganography. In this paper we hide secret audio into the digital image with the help of deep learning techniques. We use a joint deep neural network concept it consist of two sub models. The first model is responsible for hiding digital audio into a digital image. The second model is responsible for returning a digital audio from the stego image. Various vast experiments are conducted with a set of 24K images and also for various sizes of images. From the experiments it can be seen proposed method is performing more effective than the existing methods. The proposed method also concentrates the integrity of the digital image and audio files.
Keywords: Steganography, Least Significant Bit, Deep Learning, Deep Convolutional Neural Network.

Download PDF

The post D7843049420 appeared first on International Journal of Engineering and Advanced Technology (IJEAT).