Volume 1, Issue 7

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Special Issue on Computing, Engineering and Sciences
Guest Editors: Prof. Paul Andrew
Deadline: 30 April 2025

Special Issue on Advances in Medical Imaging: Novel Techniques and Clinical Applications
Guest Editors: Muhammad Yaqub, Atif Mehmood, Muhammad Salman Pathan
Deadline: 31 December 2024

Special Issue on Medical Imaging based Disease Diagnosis using AI
Guest Editors: Azhar Imran, Anas Bilal, Saif ur Rehman
Deadline: 31 December 2024

Special Issue on Multidisciplinary Sciences and Advanced Technology
Guest Editors: Paul Andrew
Deadline: 15 October 2024

Volume 1, Issue 7
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This issue presents a compelling compilation of seven research papers that address critical challenges across diverse domains. It encompasses innovative encryption techniques for safeguarding medical imaging data while preserving confidentiality, a privacy-preserving text document summarization framework that balances anonymity and information retention, an insightful study on the influence of lecturer gender on educational experiences, and a robust image hashing approach leveraging SHA-3 algorithms to fortify data integrity. Additionally, it features a comprehensive review of air spring technology optimization through finite element analysis, a groundbreaking telemedicine platform for real-time patient monitoring and decision support, and a novel application of optical fiber sensing for fault diagnosis in rotating machinery. These multidisciplinary studies exemplify the transformative potential of research in advancing privacy, security, inclusivity, healthcare delivery, and industrial efficiency.

Editorial
Front Cover

Publication Month: July 2022, Page(s): i – i 

Editorial Board

Publication Month: July 2022, Page(s): ii – ii

Editorial

Publication Month: July 2022, Page(s): iii – iv

Table of Contents

Publication Month: July 2022, Page(s): v – v

Articles
Histogram Based Visible Image Encryption for Real Time Applications

Kiran, Sunil Kumar D S, Bharath K N, Harshitha Rohith, Sharath Kumar A J, Ganesh Kumar M T

J. Engg. Res. & Sci. 1(7), 1-6 (2022);

Like most patient information, medical imaging data is subject to strict data protection and confidentiality requirements. This raises the issue of sending the data which contains a medical image on an open network as per the above issue, also there might be a leakage of information. Encrypting an Image and hiding the information in it is the Potential way of avoiding this problem. But there might be many problems when we try restoring the original image. As a solution to that, an algorithm dealing with region of intrest (ROI) in medical images based on the pixels of interest and histogram peak technique. Firstly Image histogram peak technique is used for calculating peaks in medical images. Then set the Threshold value to segregate the pixels of interest in the medical images. The threshold value can be calculated by taking an average of all peaks in the histogram. These pixels are encrypted with the help of the Sudoku matrix. The proposed scheme will be evaluated using a various test based on statistics along with those results which will be compared to benchmarks of the existing work. We can see the better performance in terms of security from the proposed technique.

Privacy Preserving Text Document Summarization

A N Ramya Shree, Kiran P

J. Engg. Res. & Sci. 1(7), 7-14 (2022);

Data Anonymization provides privacy preservation of the data such that input data containing sensitive information is converted into anonymized data. Hence, nobody can identify the information either directly or indirectly. During the analysis of each text document, the unique attributes reveal the identity of an entity and its private data. The proposed system preserves the sensitive data related to an entity available in text documents by anonymizing the sensitive documents either entirely or partially based on the sensitivity context which is very specific to a domain. The documents are categorized based on sensitivity context as sensitive and not-sensitive documents and further, these documents are subjected to Summarization. The proposed Privacy Preserving Text Document Summarization generates crisp privacy preserved summary of the input text document which consists of the most relevant domain-specific information related to the text document without defying an entity privacy constraints with the compression rate of 11%, the precision of 86.32%, and the recall of 84.28%.

The purpose of this study was to determine Impact of Gender of Lecturers’ on Learning among the College of Arts and Commerce Students’ at Andhra University. Systematic data collection and analysis efforts resulted in the following findings: A question was presented to find out which lecturer gender produces difficult examination questions. According to the findings, 74 (51.4%) of respondents stated it was mostly male lecturers, 56 (38.9%) said it was a balance of male and female lecturers, and 15 (10.4%) said it was female lecturers. Again, Students were asked a question to determine which lecturer gender teaching styles they liked. According to the findings, 47 (32.6 %) of respondents chose male lecturers, 34 (23.6 %) preferred female lecturers, and the majority of respondents 63 (43.8 %) preferred both male and female lecturers. Furthermore, Students were asked a question to determine which lecturer gender they preferred. According to the findings, 54(37.5%) of respondents chose male lecturers, 27(18.8%) preferred female lecturers, and the majority of respondents 64 (44.4 %) preferred both male and female lecturers. Finally, Students were asked a question to determine which lecturer gender they feel most comfortable approaching. According to the findings, 40(27.8%) of respondents chose female lecturers, 49(34%) preferred male lecturers, and the majority of respondents 55 (38.2%) preferred both male and female lecturers. Suggestions were made to establish an effective and conducive teaching atmosphere between lecturers and students at Andhra University College of Arts and Commerce.

Acceleration of Image Processing with SHA-3 (Keccak) Algorithm using FPGA

Argyrios Sideris, Theodora Sanida, Dimitris Tsiktsiris, Minas Dasygenis

J. Engg. Res. & Sci. 1(7), 20-28 (2022);

In our digital world, the transmission of images between people has played an essential part in every cedures to ensure the integrity and accuracy of the communicated data are required. Today, hashing is the most popular and secure way. This article focuses on the SHA-3 for hashing images dimensions 256 256 pixels with our custom implementations on the FPGA based on the Very High Speed Integrated Circuit Hardware Description Language (VHDL). We perform our experiments on the Intel Arria 10 GX FPGA and the Nios II processor. Also, our experiments with calculating metrics such as entropy, NPCR and UACI show that the SHA-3 is secure, reliable and has high application potential for hashing images. We propose designs to improve throughput, security, and efficiency criteria. We strengthened our design using the IP Block Floating Point Hardware 2 (FPH-2). Our experiments with the proposed implementation have shown increased throughput by 14.38% and efficiency by 13.95% of the SHA-3 algorithm. Finally, we compared our findings to other researchers’ existing optimization methodologies, giving data that demonstrate our research’s strengths.

A Review on Materials and Experimental Process used in Air-spring

Karnam Shri Harsh, Surbhi Razdan

J. Engg. Res. & Sci. 1(7), 29-37 (2022);

The present paper reviews an air spring, its types and construction, manufacturing process, testing and process of FEA analysis. Air spring is of three types – Sleeve-type air spring (SAS), Rolling-Lobe Air-Spring (RLAS), and Convoluted Air Spring (CAS). Spring stiffness is the main factor during manufacturing; to obtain it by FEA analysis and experimentation process is shown. The essential component is either Natural Rubber or Neoprene Rubber. To provide strength and reduce the chances of puncture, fabrics like Nylon and Polyester are reinforced with the rubber and vulcanised. This paper shows the process for obtaining and manufacturing these materials. Metals like Steel, Aluminium, and zinc alloy are also used in Air spring assembly.

Advanced Medical Telemonitoring for the Suspected Cases of Covid-19 Virus

Mohamed Touil, Lhoussain Bahatti, Abdelmounime El Magri

J. Engg. Res. & Sci. 1(7), 38-43 (2022);

Nowadays Corona Virus is threatening everyone, everywhere because it extremely dangerous. For many reasons; the first one it is a contagious virus, the second reason is there is no definite vaccination for that, because even some vaccinated people against Covid were affected. in the same regard this paper will present a telemedicine solution against Covid-19. the solution contains two parts. One is software, it represents a platform for real-time medical telemonitoring and also some important statistics are performed there. The other part is hardware, it lies on the usage of remote sensors like the temperature sensor the location sensor and so on, to acquire the vital parameters of the affected covid cases. And will have a wearable sensor network Also, there are many computers where we install the different parts of the platform in order to acquire patients’ data and performing statistical studies as well. For that purpose, the LabVIEW software is used to develop different interfaces. Those sensors are connected to the platform in a wireless method, and all data processing are performed on the computers. The proposed solution will manage the whole country because there are local servers and also a main server to perform statistics and help the government to make the proper decision for example total lockdown partial lockdown etc.

Research on Feature Extraction Method of Fiber Bragg Grating Vibration Monitoring Based on FFT

Mengxing Zhang, Youming Hua, Chunbin Chen, Chenkun Chu, Xiuli Zhang

J. Engg. Res. & Sci. 1(7), 44-47 (2022);

Optical fiber is used in various fields because of its advantages of large-capacity communication, long-distance transmission, low signal crosstalk, good confidentiality, anti-electromagnetic interference, good transmission quality, small size, light weight, and long life. In this paper, the latest research progress of optical fiber sensing technology and its application and development in the field of rotating parts are summarized, and the characteristics and working principles of optical fiber intelligent composite materials are introduced. Fast Fourier Transform (FFT) and Hilbert fringe spectra are then applied to frequency component analysis. Quantitative research is carried out on the variation of the frequency components in each frequency band of the vibration signal of the damaged and non-damaged rotating parts. The method can analyze the fault signal to achieve the purpose of accurately extracting the fault characteristics of the rolling bearing, which plays an important guiding role in the accurate diagnosis of the bearing fault.

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