Volume-12 Issue-12, November 2023 – International Journal of Innovative Technology and Exploring Engineering (IJITEE)

L975311121223

IJITEE Journal — Mon, 27 Nov 2023 10:25:59 +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 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Image Transmission Analysis using CSS Modulation Scheme
Vítor Fialho
Vitor Fialho, DEETC, Instituto Superior de Engenharia de Lisboa and Centre of Technology and Systems, Lisbon, Portugal.

Open Access | Editorial and Publishing Policies | Cite | Zenodo | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Image transmission through low-speed communication systems has been a challenge to overcome in the last few years. Actual IoT technologies are supported by LPWAN, where power consumption is a primary consideration. The image transmission study presented in this paper is based on the Chirp Spread Spectrum (CSS) modulation scheme used by LoRa. A simulation model for image transmission is presented, where the communication channel is based on additive white Gaussian noise (AWGN), with a configurable signal-to-noise ratio (SNR). This model enables the modification of several LoRa CSS parameters, including spreading factor (SF), bandwidth (BW), and code rate (CR). The adopted metrics for evaluating the proposed methodology are symbol error rate (SER), bit error rate (BER), and peak signal-to-noise ratio (PSNR). The first two figures of merit enable the study of transmission quality, and the last one allows for the inference of the received image quality. For SF=8 and SNR=-10 dB, the obtained values of SER and BER are 0.001 and 1 × 10^ (-4), respectively. These values will result in a PSNR of 21 dB.

Keywords: CSS, LoRaWAN, Image transmission, SER, SNR and PSNR
Scope of the Article: Image Analysis and Processing

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L974211121223

IJITEE Journal — Mon, 27 Nov 2023 10:19:39 +0000

Performance Analysis of MIMO Heterogeneous Wireless Sensor Networks
Saurabh Mishra¹, Rakesh Ranjan², Sonika Singh³, Gagan Singh⁴
¹Saurabh Mishra, Assistant Professor, Department of EECE, DIT University, Dehradun (Uttarakhand), India.

²Prof. Rakesh Ranjan, Professor & Vice Chancellor, Sushant University Gurgaon (Haryana), India.

³Dr. Sonika Singh, Associate Professor, Department of EECE, DIT University, Dehradun (Uttarakhand), India.

⁴Dr. Gagan Singh, Professor, Department of EECE, DIT University, Dehradun (Uttarakhand), India.

Abstract: Wireless Sensor Networks (WSN) are widely used in remote applications related to defence and healthcare. A network with nodes possessing different capabilities, such as sensing, various computational capabilities, power-efficient communication, and a varied sensing range, is referred to as a heterogeneous wireless sensor network. Heterogeneous wireless sensor networks using MIMO wireless channels are more useful for energy-efficient multi-channel communication. MIMO applications in wireless sensor networks have the potential to enhance throughput, reduce End-to-End Delay, improve packet delivery ratios, and conserve energy. Its implementation needs to be carefully considered in light of the specific deployment conditions and resource constraints of the network, taking into account proper antenna design, synchronisation mechanisms, and energy-efficient algorithms. This paper presents a comparative performance analysis of MIMO wireless sensor networks and traditional wireless sensor networks without MIMO for various Quality of Service (QoS) parameters, including Packet Delivery Ratio, End-to-End Delay, Throughput, and Residual Energy. The research work shows that the application of MIMO in Wireless Sensor Networks enables sensor nodes to collaborate effectively, leading to improved reliability and coverage, and also increases the network’s lifetime by conserving energy in resourceconstrained sensor nodes through the preservation of Residual Energy.

Keywords: Wireless Sensor Networks; Heterogeneous Networks; Throughput, End to End delay; packet delivery ratio; residual energy, MIMO
Scope of the Article: Wireless Sensor Networks

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L975211121223

IJITEE Journal — Mon, 27 Nov 2023 10:13:07 +0000

Equation Modelling of Automotive Textiles for Car Seat Covers in the Ghanaian Upholstery Industry
Richard Selase Gbadegbe¹, Edem Kwami Buami², Charles Kumah³, Bijou Asemsro⁴, Maxwell Selase Akple⁵
¹Dr. Richard Selase Gbadegbe, Department of Industrial Art, Ho Technical University, Ho, Ghana.

²Edem Kwami Buami, Department of Industrial Art, Ho Technical University, Ho, Ghana.

³Charles Kumah, Department of Industrial Art, Ho Technical University, Ho, Ghana.

⁴Bijou Asemsro, Department of Fashion Design and Textile, Ho Technical University, Ho, Ghana.

⁵Prof.Maxwell Selase Akple, Department ofMechanical Engineering, Ho Technical University, Ho, Ghana.

Abstract: Among the many materials utilized in the production of automotive components are textile materials. Long-term use of vehicle seats causes the textile material used to cover the seats to degrade. Because of this, drivers and vehicle owners critically inspect such deteriorated car seat covers before getting a new one. This study aims to identify the various factors that influence drivers’ and vehicle owners’ decisions regarding the choice of seat covers. In addition, to determine the factors that influence customers’ perception of locally manufactured seat covers by upholstery artisans. A structured questionnaire and an online Google form were used to collect data from 1,042 respondents across the 16 regions of Ghana. The five main factors that customers focused on were identified using Principal Component Analysis (PCA) with Varimax rotation. Structural Equation Modelling (SEM) was used to predict the perception factors of local upholstery artisans and customers using the Smart PLS software. Textile resistance, accessibility, durability, quality, perception, and aesthetics were the selection factors. The findings showed that consumers of automotive textile materials consider the aspects above before making a purchase; therefore, manufacturers should pay attention to these factors to increase efficiency. The study concludes that local upholstery artisans should focus on these factors in their operations.

Keywords: Ghana, Automotive Textiles, Car Seat, Factor Analysis, PLS-SEM
Scope of the Article: Textile Engineering

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L975011121223

IJITEE Journal — Mon, 27 Nov 2023 10:06:45 +0000

Proposing the Use of Failure Mode and Effect Analysis (FMEA) as Risk Assessment Tool in Construction
Wahbi Albasyouni¹, Ibrahim Abotaleb², Khaled Nassar³
¹Wahbi Albasyouni, PhD Student, Department Civil Engineering, Newcastle University, United Kingdom.

²Ibrahim Abotaleb, Associate Professor, Department Construction Management, The American University in Cairo, Egypt.

³Khaled Nassar, Professor, Department Construction Management, The American University in Cairo, Egypt.

Abstract: This research aimed to improve the analysis of risks in construction projects in Egypt through proposing the implementation of FMEA as a risk assessment tool. First, an extensive literature review was conducted to identify the relevant risks in the Egyptian construction industry. Second, a questionnaire survey was conducted to assess the perceived impact, probability, and detection of the identified risk factors by experts working in the construction sector in Egypt. Third, an analysis of these risks was carried out using traditional PMI’s risk assessment, FMEA, and the integration of fuzzy logic with FMEA fundamentals. The results demonstrated that FMEA and risk management are similar in various aspects, but FMEA has an additional dimension to PMI’s risk analysis, specifically “detection”. Such dimension affects how risks are managed and plays a significant role in developing better strategies for controlling and detecting risks. This added depth provides more insights into the project, enabling construction parties to make better preparations and informed decisions for their projects. The findings indicated that FMEA has significant potential in the construction industry when properly applied. The findings of this research aim to promote the application of FMEA as an enhancement to the currently applied PMI’s risk management practice, thereby improving efficiency, visualisation, and ultimately decision-making.

Keywords: Risk Management in Construction, Risk Assessment, Failure Mode Effect Analysis, Risk Priority Number, Fuzzy FMEA
Scope of the Article: Construction Engineering

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L974511121223

IJITEE Journal — Mon, 27 Nov 2023 10:01:48 +0000

Comparison of Various Deep Learning Models Used to Detect and Classify Keratoconus Disease
Puja G. Ambalgekar¹, Ashwini K B²
¹Puja G. Ambalgekar, Department of Information Science and Engineering, Engineering R. V. College of Engineering Bengaluru (Karnataka), India.

²Ashwini K B, Department of Information Science and Engineering, Engineering R. V. College of Engineering Bengaluru (Karnataka), India.

Abstract: The corneal condition keratoconus results in both corneal thinning and bulging, along with symptoms like astigmatism, light sensitivity, blurred vision, etc. Your eyes can be affected by genetic, environmental, and age-related problems because they are one of the most complex organs in the human body. From little discomfort to more serious vision problems that could harm your eyesight, this can happen. The screening for keratoconus requires a thorough examination of the cornea using various methods, including slit lamp analysis and corneal tomography. The goal of this study is to identify and categorise keratoconus using various machine-learning methods.

Keywords: Keratoconus Disease, InceptionV3 Xception, Mobile Net, Deep learning.
Scope of the Article: Deep learning

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