Volume-11 Issue-3, February 2022 – International Journal of Engineering and Advanced Technology (IJEAT)

C33820211322

IJEAT Journal — Fri, 25 Feb 2022 10:52:01 +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 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Awareness of Employees Towards Performance Appraisal Mechanism in Salem Steel Authority of India Limited: A Micro Level Study
P. Hemalatha¹, D.Kumaresan²
¹P. Hemalatha*, Ph.D Research Scholar, PG and Research Department of Commerce, Laxminarayana Arts and Science College for Women, Dharmapuri (Tamil Nadu), India.
²D. Kumaresan, Research Supervisor and Former Principal, PG and research Department of Commerce, Laxminarayana Arts and Science College for Women, Dharmapuri (Tamil Nadu), India.
Manuscript received on January 27, 2022. | Revised Manuscript received on February 22, 2022. | Manuscript published on February 28, 2022. | PP: 130-134 | Volume-11 Issue-3, February 2022. | Retrieval Number: 100.1/ijeat.C33820211322 | DOI: 10.35940/ijeat.C3382.0211322
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The performance appraisal is feedback given to the employees about their past and current performances. The paper mainly focuses on Awareness of Employees towards Performance appraisal mechanism in Salem Steel Authority of India Limited. The primary data have been collected from the selected employees of SAIL, Salem using a structured questionnaire. The population size finite and known accordingly the sample size has been determined to be 445 and systematic random sampling method is used. The demographic variables such as gender, age, marital status and educational level were compared with the awareness of employees towards the selected purposes of performance appraisal has been analyzed. It is understood from the analysis that the awareness of employees was affected by the age and nature of job
Keywords: Human Resources, Performance appraisal, employees, Awareness, demographic variables.
Scope of the Article: Human Computer Interactions

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C33740211322

IJEAT Journal — Fri, 25 Feb 2022 10:45:55 +0000

Smart Lockers: Approaches, Challenges and Opportunities
Alícia F. S. Luís¹, Gonçalo M. C. Martins², João M. L. P. Caldeira³, Vasco N. G. J. Soares⁴
¹Alícia F. S. Luís, Instituto Politécnico de Castelo Branco, Portugal.
²Gonçalo M. C. Martins, Instituto Politécnico de Castelo Branco, Portugal.
³João M. L. P. Caldeira, Instituto Politécnico de Castelo Branco, Instituto de Telecomunicações, Portugal.
⁴Vasco N. G. J. Soares*, Instituto Politécnico de Castelo Branco, Instituto de Telecomunicações, Portugal.
Manuscript received on January 24, 2022. | Revised Manuscript received on February 22, 2021. | Manuscript published on February 28, 2021. | PP: 141-149 | Volume-11 Issue-3, February 2022. | Retrieval Number: 100.1/ijeat.C33740211322 | DOI: 10.35940/ijeat.C3374.0211322
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This survey focuses on the benefits of smart lockers and their potential contribution in the last mile problem. It first introduces the related concepts. Then, categorizes existing solutions and identifies the similarities and differences. Further, their strengths and limitations are discussed. Finally, it presents key challenges in the field, and discusses envisioned future research directions that must be factored in by researchers, implementers, and manufacturers to increase the acceptance of smart lockers and to improve their security..
Keywords: Smart Lockers, Parcel Delivery, IoT, Survey, Tutorial, Security
Scope of the Article: IoT

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C33710211322

IJEAT Journal — Fri, 25 Feb 2022 10:38:10 +0000

Investigation of Various Parameters in Magneto-Rheological Dampers
R.K Tyagi¹, Preeti Joshi², R.S Pandey³
¹R.K Tyagi, Professor, Amity University, Sector 125, Noida – 201313, India
²Preeti Joshi*, Assistant Professor, Amity University, Sector 125, Noida – 201313, India.
³R.S Pandey, Professor, Amity University, Sector 125, Noida – 201313, India
Manuscript received on January 23, 2022. | Revised Manuscript received on February 18, 2022. | Manuscript published on February 28, 2022. | PP: 135-140 | Volume-11 Issue-3, February 2022. | Retrieval Number: 100.1/ijeat.C33710211322 | DOI: 10.35940/ijeat.C3371.0211322
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Automobile industry and magneto-rheological dampers are now a new area of research. Magneto-rheological mufflers utilize the energy generated by magnetic fields, and scientists have initiated a re-consideration of new damping systems. The suspension system based on magneto-rheological fluid in modern era is becoming an intelligent system with superior properties such as strength, controllability, range, response time, energy utilization, structure etc. In magneto-rheological dampers number of required components are too less which leads to cost effective suspension. In this exploration, a magneto-rheological damper was fabricated, and experimental study had been performed. The magneto-rheological damper’s construction cost is not as much since it doesn’t have intricate components. The modern enquiries the consequences of magnetic field/current on applied load, yield stress, and stress developed in suggested magneto-rheological dampers. The experimental results illustrate the effect of external load, yield stress, & stress generated in suggested dampers depends on magnitude of current/magnetic field. The experimental investigation also demonstrates that magneto-rheological dampers work at a specific threshold magnetic field substandard to critical value of a magnetic field, magneto-rheological fluid reposes in a liquid phase. The threshold magnetic field and mechanical properties are inter-related with each other in magneto-rheological based dampers.
Keywords: Magnetic field, Stress, Load, Magneto-rheological Fluid, Damper
Scope of the Article: Fluid Mechanics

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C33880211322

IJEAT Journal — Sat, 19 Feb 2022 12:17:42 +0000

Investigation of the Properties of Compositions Based on Modified Polymer Mixtures
Shikhaliyev Kerem SEFI
Shikhaliyev Kerem SEFI*, Azerbaijan State University of oil and industry. Baku. Azerbaijan.

Manuscript received on January 24, 2022. | Revised Manuscript received on February 18, 2022. | Manuscript published on February 28, 2022. | PP: 119-129 | Volume-11 Issue-3, February 2022. | Retrieval Number: 100.1/ijeat.C33880211322 | DOI: 10.35940/ijeat.C3388.0211322
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The properties of vulcanized compositions based on mechanical mixtures of Ethylene propylene rubber (EPR)and Ethylene propylene terpolymer (EPTR)with PVC deteriorate compared to the properties of EPR and EPTRperoxide vulcanizers, which is explained by the poor mixing of PVC with these copolymers. In the extruder of the specified polymer mixtures -145 ° C, 36 MPa, n = 200 qra. The thermal and mechanical effects (MIC) under these conditions cause a significant improvement in the properties of the compositions based on these mixtures. The formation of EPR –PVC, and EPTR -PVX copolymers as a result of IMT in these polymer mixtures was confirmed by the construction of these copolymers with peroxide-free, PVC clusters with methemtal oxides – MgO, ZnO, and PbO (mass fraction 8-18). Modification of ethylene-propylene copolymers with PVC was carried out at a temperature higher than the flow temperature of PVC, which ensures its good dispersion in the mixture and chemical bonding with the elastomer phase, the effect of strengthening the elastic phase with the dispersed PVC phase occurs.
Keywords: Ethylene-Propylene Copolymer (epr), Polyvinyl Chloride (Pvc), Vulcanization. Compositions, Polymethacrylic Acid. (Pmаa)
Scope of the Article: Properties and Mechanics of Concrete

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C33860211322

IJEAT Journal — Sat, 12 Feb 2022 07:39:37 +0000

Three Methods in Reliability Assessment of Engineering Structure
Beata Potrzeszcz-Sut¹, Agnieszka Dudzik²
¹Beata Potrzeszcz-Sut*, Department of Mechanics, Metal Structures and Computer Methods, Kielce University of Technology, Poland.
²Agnieszka Dudzik, Department of Mechanics, Metal Structures and Computer Methods, Kielce University of Technology, Poland.
Manuscript received on January 28, 2022. | Revised Manuscript received on February 09, 2022. | Manuscript published on February 28, 2022. | PP: 114-118 | Volume-11 Issue-3, February 2022. | Retrieval Number: 100.1/ijeat.C33860211322 | DOI: 10.35940/ijeat.C3386.0211322
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The work attempts to choose the handy methods for analyzing structural reliability. Comparative analysis of the methods was performed on an example of dome truss susceptible to stability loss from the condition of node snapping. In the reliability analysis of structure the load magnitudes (P), the axial stiffness of bars (EA), coordinate nodes (Z) are represented by random variables. The criterion of structural failure is expressed by the condition of non-exceeding the admissible load multiplier. The Hasofer-Lind reliability index was determined. In analysis were used three approaches differing way of defining the limit state function: Approach 1 – using of implicit limit state function, Approach 2 – using of explicit neural state functions, Approach 3 – using of the Hybrid Monte Carlo method.
Keywords: Reliability, Neural Networks, Limit State Function, Form Method, Hybrid Monte Carlo Method
Scope of the Article: Structural Reliability Analysis.

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A31331011121

IJEAT Journal — Sat, 12 Feb 2022 07:19:41 +0000

Apache Mahout based Book Recommendation System
Abhishek Verma¹, V Nallarasan²
¹Abhishek Verma*, Department of Information Technology, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
²V Nallarasan, Assistant Professor, Department of Information Technology, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on September 08, 2021. | Revised Manuscript received on February 11, 2022. | Manuscript published on February 28, 2022. | PP: 110-113 | Volume-11 Issue-3, February 2022. | Retrieval Number: 100.1/ijeat.A31331011121 | DOI: 10.35940/ijeat.A3133.0211322
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: E-Commerce websites plays an important role in an individual’s life as it serves as the medium for online shopping with a huge audience. With the commencement of the pandemic due to novel coronavirus, the involvement of E-Commerce websites for shopping has drastically increased or more precisely it remains as the only medium to shop. With the increasing demand for online shopping on E-Commerce websites, the role of the Recommendation System has also become vital as it accomplishes the goal to make Personalized Recommendation for users. In this paper, we set out Apache Mahout-based Book Recommendation System to help recommend books to users. With this paper, we have described our project that recommends books to users on the basis of the user’s prior experience of purchase. The platform utilizing this recommendation system is developed using Spring Framework as a part of our project. The dataset used in the process is taken from Kaggle. Dataset has ratings for various books given by users. As a part of the User-based Collaborative Filtering recommendation technique, Euclidean Distance Similarity is used as a similarity measure along with Nearest N User Neighborhood and Generic User-Based Recommender to give quality results as compared to the existing system. To get the best quality recommendation we have obtained an evaluation score of 0.5 for Euclidean Distance Similarity.
Keywords: Apache Mahout, Book Recommendation, Collaborative Filtering, Machine Learning, Spring Framework, Web Application.
Scope of the Article: Machine Learning

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C33940211322

IJEAT Journal — Thu, 10 Feb 2022 08:57:26 +0000

Application of Advanced Machine Learning and Artificial Neural Network Methods in Wireless Sensor Networks Based Applications
Suvarna. S. Patil¹, B. M. Vidyavathi²
¹Mrs. Suvarna.S. Patil*, Assistant Professor, Department of ECE, RYMEC, Ballari, India.
²Dr. B.M. Vidyavathi, Professor and Head, Department of Artificial Intelligence and Machine Learning, BITM, Ballari, India.
Manuscript received on January 31, 2022. | Revised Manuscript received on February 02, 2022. | Manuscript published on February 28, 2022. | PP: 103-109 | Volume-11 Issue-3, February 2022. | Retrieval Number: 100.1/ijeat.C33940211322 | DOI: 10.35940/ijeat.C3394.0211322
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Wireless sensor networks (WSN) have become very interesting areas of study in computer science these days. WSN is a group of sensors that are used in the physical world. It’s easy to see how small these sensors are. They can detect physical wonders and help you deal with them. One of the most important reasons for distributing WSN-built-up applications is to make a decision about what to do next, which has been difficult because WSNs have limited processing power, limited storage space, and a lot of quickly changed data. This makes it important to look into new and appropriate data mining methods that can extract learning from a huge amount and a wide range of information that WSNs send out all the time. Machine Learning algorithms like Random Forest Regression and Artificial Neural networks are used in wireless sensor network-based applications like this one. This article also presents a comprehensive comparison of results from the application of Random Forest Regression and Artificial Neural Network algorithms to WSN data.
Keywords: Wireless Sensor Networks, Data Mining, Random Forest Regression and ANN Algorithm.
Scope of the Article: Data Mining

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C33920211322

IJEAT Journal — Thu, 10 Feb 2022 08:51:20 +0000

Multimodal Offensive Meme Classification using Transformers and BiLSTM
Roshan Nayak¹, B S Ullas Kannantha², Kruthi S³, C. Gururaj⁴
¹Roshan Nayak*, Department of Electronics and Communication Engineering, B.M.S. College of Engineering, Bengaluru, India.
²B S Ullas Kannantha, Department of Electronics and Instrumentation Engineering, B.M.S. College of Engineering, Bengaluru, India.
³Kruthi S, Department of Electronics and Instrumentation Engineering, B.M.S. College of Engineering, Bengaluru, India.
⁴C. Gururaj, Senior Member IEEE, Department of Electronics and Telecommunication, B.M.S. College of Engineering, Bengaluru, India.
Manuscript received on January 31, 2022. | Revised Manuscript received on February 05, 2022. | Manuscript published on February 28, 2022. | PP: 96-102 | Volume-11 Issue-3, February 2022. | Retrieval Number: 100.1/ijeat.C33920211322 | DOI: 10.35940/ijeat.C3392.0211322
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Nowadays memes have become a way in which people express their ideas on social media. These memes can convey various views including offensive ones. Memes can be intended for a personal attack, homophobic abuse, racial abuse, attack on minority etc. The memes are implicit and multi-modal in nature. Here we analyze the meme by categorizing them as offensive or not offensive and this becomes a binary classification problem. We propose a novel offensive meme classification using the transformer-based image encoder, BiLSTM for text with mean pooling as text encoder and a Feed-Forward Network as a classification head. The SwinT + BiLSTM has performed better when compared to the ViT + BiLSTM across all the dimensions. The performance of the models has improved significantly when the contextual embeddings from DistilBert replace the custom embeddings. We have achieved the highest recall of 0.631 by combining outputs of four models using the soft voting technique.
Keywords: Offensive Meme Classification; BilSTM; Transformer; Pooling; Confusion Matrix;
Scope of the Article: Classification

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C33610211322

IJEAT Journal — Sat, 05 Feb 2022 10:39:59 +0000

Hybrid Feature Approach of Face Recognition based on Pixel Binary Segmentation
Pattarakamon Rangsee¹, Raja K B², Venugopal K R³
¹Pattarakamon Rangsee*, Department of Electronics and Communication Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore (Karnataka), India.
²Dr. K B Raja, Professor, Department of Electronics and Communication Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore (Karnataka), India.
³Dr. Venugopal K R, Vice-Chancellor, Bangalore University, Bangalore (Karnataka), India.
Manuscript received on January 02, 2021. | Revised Manuscript received on February 05, 2022. | Manuscript published on February 28, 2022. | PP: 86-95 | Volume-11 Issue-3, February 2022. | Retrieval Number: 100.1/ijeat.C33610211322 | DOI: 10.35940/ijeat.C3361.0211322
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The pose, illumination, and expression variations are challenging tasks in Facial Recognition (FR) and are a popular research area nowadays. We introduce novel nibbles of pixel technique and hybrid features from nibbles in this paper. The color images are converted into grayscale and then converts decimal values from each pixel into eight-bit binary values. The novel concepts of segmenting eight-bit binary into two groups of four-bit binary as Leftmost Nibble (LN) and Rightmost Nibble (RN) is presented. The nibble concept increases the computational speed and decreases the complexity of the system in the case of a real-time system as the 256 shades of grayscale images are decreased to 16 shades for LN and 16 shades for RN i.e., totally only 32 shades instead of 256 shades. The LN and RN binary is converted back to decimal values. The LL subband which is obtained from the applied Discrete Wavelet Transform (DWT) technique on the LN matrix is considered as the most important information while the Histogram of Oriented Gradients (HOG) is applied on the RN matrix to detect the edge information. The linear convolution of DWT and HOG results in the final hybrid features. In the matching part, the Euclidean Distance (ED) matching and the Artificial Neural Network (ANN) are selected to classify the features and calculate the proposed algorithm’s performance parameters. The experimentation is implemented on six standard face databases, which demonstrates an outstanding performance by getting higher accuracy with less computation time compared with the existing techniques.
Keywords: Biometric, Face Recognition, Discrete Wavelet Transform, Histogram of Oriented Gradients, Nibble.
Scope of the Article: Image Processing and Pattern Recognition

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E26400610521

IJEAT Journal — Sat, 05 Feb 2022 06:37:30 +0000

Agile Software Development of Clinical Healthcare Management Information System for Public Health
Ronel J. Bilog¹, Marc Lester F. Quintana²
¹Ronel J. Bilog*, Junior Lecturer, Department of Computing and Informatics, City College of Calamba, Calamba City, Philippines.
²Marc Lester F. Quintana, Department of Arts and Sciences, City College of Calamba, Calamba City, Philippines.
Manuscript received on January 10, 2021. | Revised Manuscript received on January 20, 2021. | Manuscript published on January 30, 2021. | PP: 80-85 | Volume-11 Issue-3, February 2022. | Retrieval Number: 100.1/ijeat.E26400610521 | DOI: 10.35940/ijeat.E2640.0211322
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Organization should manage information just as like as it manages its other resources correctly to fully maximize the usefulness of information especially in the field of healthcare. The use of software model to create information systems made it possible. To support the healthcare of the community, the appearance of Rural Health Unit is much needed. This study will discuss the problems encountered by the health professionals and health workers of Rural Health Unit in the Province of Alaminos, Laguna on the existing manual processes of storing and retrieving of patients’ data that are mainly used in assessing the public health of the community. With this situation, the researchers developed a Clinical Healthcare Management Information System for public health. This paper will also focus on the development of the system using Agile model and evaluation adapted from ISO 25010 to test its effectiveness.
Keywords: Agile Software Model, ISO Evaluation, Management Information System, Public Health, Rural Health Unit.
Scope of the Article: Healthcare Informatics

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