Middle East Journal of Applied Science & Technology

Volume 5 Issue 2 April-June 2022

Current Issue


Research Article

Advanced Patient Monitoring System with Diseases Prediction System using Machine Learning

Udhayakumar C, Ashik S, Bala Subramaniyan S, Dharanishan K & Ganeshraja A

Page No. 01-08

 Abstract: IoT and machine learning (ML) are becoming increasingly efficient in the medical and telemedicine areas all around the world. This article describes a system that employs latest technology to give a more accurate method of forecasting disease. This technology uses sensors to collect data from the body of the patient. The obtained sensor information is collected with NodeMcU before being transferred to the Cloud Platform "ThinkSpeak" through an ESP8266 Wi-Fi module. ThinkSpeak is a cloud server that provides real-time data streams in the cloud. For the best results, data currently saved in the cloud is evaluated by one of the machine learning algorithms, the KNN algorithm. Based on the findings of the analysis and compared with the data sets, the disease is predicted and a prescription for the relevant disease is issued.

DOI: http://doi.org/10.46431/MEJAST.2022.5201


Research Article

A Novel Undistorted Image Fusion and DWT Based Compression Model with FPGA Implementation for Medical Applications

M. Mohankumar, S. Akilan, B. Hariprasath, R. Ariprasath & S. Dhanu Dharsan

Page No. 09-16

 Abstract: The usage of a fused image and compressed model in a VLSI implementation is demonstrated. In this study, distortion correction is also considered. In distortion correction models, least-squares estimate is utilized. The technique of picture fusion is widely employed in medical imaging. Many pictures are obtained from various sensors (or) multiple images are captured at different times by one sensor in the image fusion approach. CT scans give useful information on denser tissue with the least amount of distortion. The information obtained from a magnetic resonance imaging (MRI) of soft tissue with significant distortion is useful. The DWT-based image fusion approach employs discrete wavelet transforms, a novel multi-resolution analytic tool. Back mapping expansion polynomial is used to reduce computer complexity. Using 0.18um technology, the suggested VLSI design achieves 218MHz with 1480 logical components.

DOI: http://doi.org/10.46431/MEJAST.2022.5202


Research Article

Psoralen Promotes Myogenic Differentiation of Muscle Cells to Repair Fracture

Zhenhai Cui, Tingrui Huang, Chen Huang, Wenhai Zhao, Jianming Chen & Dezhi Tang

Page No. 17-26

 Abstract: Myogenic differentiation requires to be exactly explored for the effective treatment of fracture. The speed of healing is affected by skeletal muscle, linked to activation of specific myogenic transcription factors during the repair process. In previous study, we discovered that psoralen enhanced differentiation of osteoblast in primary mouse. In the current study, we show that psoralen stimulates myogenic differentiation through the secretion of factors to hone the quality of repair in fractured mice. 3-month old mice were treated with corn oil or psoralen followed by a tibial fracture surgery. Fractures were tested 7, 14, and 21 days respectively later by histology and images observation. Skeletal muscles including soleus muscle and posterior tibial muscle around the damaged bone were collected for quantitative real-time PCR, HE staining, as well as western blot. Daily treatment with psoralen at seven, fourteen days or twenty-one days improves protein or mRNA levels responsible for the whole myogenic differentiation process, makes the muscle fibers more tightly aligned, and promotes callus formation and development. This data shows that high levels of myogenic transcription factors in the process of fracture healing in mice foster the repair of damaged muscles, and indicates a pharmacological approach that targets myogenic differentiation to improve fracture repair. This also reflects the academic thought of "paying equal attention to both muscles and bones" in the prevention and treatment of fracture healing.

DOI: http://doi.org/10.46431/MEJAST.2022.5203


Research Article

Analysis of Concepts Affecting the Public Policies

Amritanshu Pandey & S.P. Shukla

Page No. 27-38

 Abstract: “Public Policy Analysis” involves in the evaluation of issues of public importance with objective of providing facts and statistics about extent and impact of different policies of Government. Nowadays, public policy analysis is undertaken by scholars from different applied physical and biological sciences (e.g. technology assessments, environmental impact studies, seismic risk analyses, etc.). Presently, the focus is on public policy analysis as it is conducted within the social and behavioural sciences, mainly Political Science, Sociology and Economics. Generally, the public policy addresses real or sensed problems, so the public policy analysis is mostly devoted to defining or clarifying the problems and assessing the needs. Main objective of public policy analysis is to assess the degree to which policies are meeting their aims. Policy analysis plays an important role to define and outline the aims of a proposed policy, and also has role to identify the similarities and differences in expected outcomes and estimated costs with competing the alternative policies. Several public policies are formulated to solve both the current and future problems, and so the policy analysis attempts to forecast future requirements based on present concomitant with the past conditions. A large number of works in the field of public policy analysis involves for the development of the conceptual schemes or typologies which help to sort out different types of policies, or analyses of policies. Many literatures on public policy analysis, and especially on impact evaluation are chiefly methodological in character; indeed, many recent innovations in research procedure have been developed by research scholars working on applied problems. Many texts in ‘evaluation research’ recommend an assessment of the ‘evaluability’ of the programme prior to initiate the evaluation itself. ‘Implementation analysis’ is an essential component of all capable policy evaluations. ‘Utilisation’ is an ongoing problem in the field of evaluation research. Evaluation results affect the public policy by serving as the impetus for public discourse and debate which form social policy, rather than through extensive programme termination or reform.

DOI: http://doi.org/10.46431/MEJAST.2022.5204


Research Article

Discussing Solutions for Cancer Treatment at the Cancer Center of Bai Chay Hospital, Quang Ninh - And Experiences from Other Countries

Nguyen Trong Hung, Dinh Tran Ngoc Huy & Tran Thi Tra Phuong

Page No. 39-46

 Abstract: In recent years, the province's health sector has applied and applied many scientific and technical advances in health, information technology (IT) into its activities. As a result, it has brought about great achievements in professional work, especially in disease prevention and treatment, and IT application is also one of the breakthroughs of the provincial health sector. Our study objectives: showing Achievements in cancer treatment in Bai Chay hospital-Quang Ninhand presenting Lessons from other countries such as Japan in cancer treatment. By using methods of cross-sectional descriptive study. For Research period: from June 2019 to May 2020, Our study results and conclusions: We see from above figure that the highest ratio of 40% belong to health status in stage 1 (with not influence). And then, the lowest ratio of 12.9% is belonging to patients in stage 1 with very much influence, and so on. Then, Patients living quality at levels of no effect, little influence, great influence and great influence all accounts for about 25%.

DOI: http://doi.org/10.46431/MEJAST.2022.5205


Research Article

Avoiding Phishing Attacks in Online Voting System

Keerthika J, Rasha R, Rasi L, Riya Sherin C & Snekha Lakshmi N.B

Page No. 47-52

 Abstract: This work's main purpose is to provide a secure voting system that fits all of the voting process' requirements, including authentication, confidentiality, and morality. Simplicity is also required to guarantee that ordinary people participate. Other factors to consider are dependability, convenience, flexibility, mobility, and affordability, in addition to security and simplicity. We wanted to build a system where the whole encryption and decryption of the ballots is transparent and nevertheless safe to ensure that the user utilizes a secure voting system.

DOI: http://doi.org/10.46431/MEJAST.2022.5206


Research Article

Secure Data Access Using ABE Process Model

Sasireka S, Priyadarseni P, Sanchana Sri R, Sushma R & Swathi P

Page No. 53-60

 Abstract: Despite the severe and great inherited profits of Mobile Cloud Computing (MCC) in healthcare, its boom is being hindered with the aid of using privateers and protection challenges. Such problems require the utmost urgent interest to realize their complete scale and green usage. There is a want for stable health information geographically. To completely make use of the fitness services, it's far important to install vicinity the demanded protection practices for the prevention of protection breaches and vulnerabilities. Hence, this research is deliberated directly to offer requirement-orientated fitness statistics protection the use of the Modular Encryption Standard (MES) primarily established totally at the layered modeling of the safety measures. The overall performance evaluation shows that the proposed paintings excel, in comparison to different usually used algorithms towards the fitness information security on the MCC surroundings in phrases of higher overall performance and auxiliary qualitative protection ensuring measures.

DOI: http://doi.org/10.46431/MEJAST.2022.5207


Research Article

Research and Design Handle Temperature Camera

Nguyen Thi Phuong Thanh & Doan Ngoc Phuong

Page No. 61-69

 Abstract: Thermal cameras are useful devices that are used in many different situations, such as quality control, system maintenance, structural repair, security, medical, monitoring, treatment and diagnose human health or to research and develop advanced technological components. It provides visual temperature information that cannot be perceived by the human senses. Gade & Moeslund (2014) specified that Thermal cameras are passive sensors that capture the infrared radiation emitted by all objects with a temperature above absolute zero. This type of camera was originally developed as a surveillance and night vision tool for the military, but recently the price has dropped, significantly opening up a broader field of applications. Our study shows With basic functions that can be used such as non-contact body temperature measurement, maintenance, maintenance, quality inspection and repair of electronic, electromechanical, telephone, chip, IC, over temperature detection, electrical system lines, underground cables, recessed walls, utilities, gas leak detection, ventilation furnaces, fireplaces, etc., the device can be a useful and effective civil tool.

DOI: http://doi.org/10.46431/MEJAST.2022.5208


Review Article

A Brief Survey on Deep Learning-Based Brain Tumour Detection Techniques

Komma Thrivikram & Dr.T.Ananth Kumar

Page No. 70-77

 Abstract: In recent years, the application of deep learning has demonstrated significant progress in various scientific subfields. Compared to other cutting-edge methods of processing and analysing images, deep learning algorithms performed significantly better. When applied in areas such as self-driving cars, where deep learning has been utilized, and the results are the best and most up-to-date currently available. In some situations, such as recognizing objects and playing games, deep learning performed significantly better than people did. One more industry that appears to have a lot to gain from deep learning is the medical field. There are a lot of patient records and data, and providing individualized care to each patient is becoming an increasingly important priority as a result. This indicates an immediate need for methods that are both efficient and reliable for processing and analyzing health informatics.

DOI: http://doi.org/10.46431/MEJAST.2022.5209


Research Article

IoT Based Blockchain Temperature Monitoring and Fake Medicine Prevention

Mounika Jammula, Shravan Navuduri & Sri Krishna Praneeth Ramayanam

Page No. 78-84

 Abstract: The Target of today’s healthcare system is delivering medicine directly from the manufacturer to end-user. The pharmaceutical supply chain involves distributors, manufacturers, wholesalers, and customers. The biggest challenge related to this supply chain is temperature monitoring also as counterfeit drug prevention. Many drugs and vaccines remain viable within a selected range of temperatures. If exposed beyond this temperature range, the drugs do not work as intended. Many of the world’s top-selling medicines are sensitive and need cold-chain shipping, i.e., storing goods during a temperature-controlled environment. Keeping the drugs cold is an important a part of the availability chain that connects drug producers to patients. But storing the essential information associated with cold-chain shipping in centralized databases is often susceptible to manipulations or data hacks. Also, the present software doesn't have tracking capability of maintaining a full chain of identity. One of the most reliable solutions would be the integration of IoT sensors with blockchain. To store the essential information related to cold-chain shipping in a blockchain network so, it becomes impossible for the data to get manipulate by anyone unlike centralized databases.

DOI: http://doi.org/10.46431/MEJAST.2022.5210