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Sourav Bhattacharyya1, Karunamoy Chatterjee2, Aritra Bhowmik3

Empirical Modelling of a Rayleigh Fading Channel to Compute the Channel Capacity using SVD

[Vol. 05 (01), December, 2024, pp. 1-7]

This work presents the state-of-the-art of wireless communication system performance metrics through the reviewing of multi-path propagation model and Singular-Value-Decomposition (SVD) method to enhance the channel capacity in the 4th and 5th generation wireless communication systems. MIMO has shown rapid improvement in data rate by lowering the Signal-to-Noise ratio (SNR). In multi-path propagation, fading is a serious issue that increases the overall average Bit-Error Rate (BER). In this research, an improvement of data rate in terms of enhancing the channel capacity of the MIMO system is summarized by reducing the SNR using SVD. An Empirical model of the MIMO system is studied, and an IID Rayleigh-Fading MIMO system is modeled to compute the channel capacity.

Abhishek Mandal1, Debasis Banerjee2, Nilakshi Sarkar 3

Advancement in Solar Energy: A Comprehensive Study

[Vol. 05 (01), December, 2024, pp. 18-23]

This paper seeks to explore the recent advancements made in solar power technology in detail. The last couple of decades have seen solar energy rise to popularity as one of the most promising renewable sources which can meet the demands for energy globally in a green way. The review investigates the improvements in photovoltaic cells, advancements in concentrated solar power systems and covering emerging trends such as solar paint and fabrics. It discusses the progress of each modality, how the devices work, factors that can cause efficiency improvement, and the fields where it can be employed. Furthermore, the paper discusses the challenges garnered by these technologies as well the y prospects of such technologies in aiding the transition towards greener energy sources.

Concrete is the third most used substance in the world next to water and air. Production of cement consumes very large amounts of natural resources and 0.9 tons of Carbon Dioxide is produced per ton of cement production which causes about 8% of world Carbon Dioxide emissions. To cope with that industrial and agricultural waste are used in making concrete which will serve two purposes, disposal of waste and conservation of natural resources. The properties of partially substituted concrete is observed in this paper. The behavior of green concrete with rice husk ash (RHA), stone dust (SD) and scrapped rubber as a partial substitution of cement, fine aggregate and coarse aggregate was experimentally explored. In this paper the combine effect of RHA, stone dust and rubber aggregate in different proportions in concrete will be seen. It has been observed that with increase in rubber aggregate compressive strength of concrete decreases but along with that if rice husk ash and stone dust also increases then compressive strength of concrete increases.

Abhishek Pal1, Sarada Mallik2, Rima Dutta3

Diabetes Prediction using Logistic Regression

[Vol. 05 (01), December, 2024, pp. 51-55]

Diabetes Mellitus is a serious condition affecting a large number of people worldwide. Various factors such as age, obesity, lack of exercise, genetic predisposition, lifestyle choices, poor diet, and high blood pressure contribute to the onset of this disease. Individuals with diabetes are at an increased risk for complications like heart disease, kidney disease, stroke, vision issues, and nerve damage. In hospitals, diabetes diagnosis typically involves conducting various tests and providing treatment based on the results. Big Data Analytics has become essential in the healthcare industry, which handles massive volumes of data. By utilizing big data techniques, it is possible to analyze large datasets, uncover hidden patterns, and derive insights to predict outcomes more effectively. However, existing methods for classification and prediction in diabetes diagnosis have limited accuracy. In this paper, we propose an improved diabetes prediction model incorporating additional external factors and standard metrics like glucose levels, BMI, age, and insulin. This new model enhances classification accuracy with an updated dataset and introduces a pipeline framework to further improve prediction accuracy.

Amlan Dutta1, Sourav Dey2, Priyodip Dey 3

A Review Article on Corrosion in Oil and Gas Industry

[Vol. 05 (01), December, 2024, pp. 66-72]

One of the most frequent occurrences we witness in our everyday lives is corrosion. We all must have noticed that some objects made of iron are covered with an orange or reddish-brown colored layer at some point in time. Rusting is a type of corrosion that occurs chemically and leads to the production of this coating. In general, it is a process through which a refined metals converted into more stable compounds such as metal oxides, metal sulfides and metal hydroxides. This is now a very challenging situation in the refinery industry. The major portion of the global economy is dependent on the oil and natural gas industry and billions of dollars is invested to reduce the corrosion in the refinery industry. In view of the above some methods or approaches must be adopted to prevent the corrosion. Corrosion resistant is suitable at a temperature of 1000C to prevent sweet corrosion and is stable and shows no technical issues but the performance of the corrosion resistant is limited with rise in the temperature. This is a critical issue to control the sweet corrosion in drilling operation, deeper wells at high temperature and pressure. Till now no such article or patent literature has been published on corrosion inhibitor. And for this reason, a thorough review on corrosion inhibitor at high temperature is very much important. In this review article the corrosion issues at different sectors have been presented. As well as, the sources of the corrosion problem and the corrosion resistant approaches such as engineering design, cathodic protection, the use of corrosion inhibitors and metal coating will be discussed.