https://pubs.thesciencein.org/journal/index.php/jist/issue/feed Journal of Integrated Science and Technology 2023-01-02T00:00:00+00:00 Editorial, J. Integr. Sci. Technol. jist@thesciencein.org Open Journal Systems <p>The Journal of Integrated Science and Technology is a peer reviewed journal for publication of fundamental and applied research from all disciplines of science (Chemistry, Physics, Biology, Mathematics, environmental science) and technology (engineering fields and technology advances).</p> <p>The journal board is not accepting more submissions for the 2023 volume as the limit of articles published in a year volume has been reached. Authors may check here when journal would be open for more submissions (only in case the space would be made available after peer-review processing of submissions already in system).</p> https://pubs.thesciencein.org/journal/index.php/jist/article/view/505 Design and mathematical analysis of a concentric Triple Tube Heat Exchanger for better heat transfer 2022-11-14T19:27:17+00:00 Arvind Gwatiya arvindmpu@gmail.com Nitin Dubey nitindub@gmail.com <p>In the present work, mathematical analyses have been performed for different designs of a concentric triple tube heat exchanger for the enhancement of thermal performance. The main objective of the present work is to perform mathematical analysis of triple concentric tube heat exchanger has to be designed for the various conditions using graphene nanoplatelets–platinum nano-fluid. Concentric triple tube heat exchanger used without baffle, straight baffle and inclined baffles with the inclination angle of 45°, 60° and 75°. For this analysis of concentric triple tube heat exchanger are divided into three different domains such as two cold fluids in the inner and outer tube and one hot fluid in the middle tube at different nano-fluid concentration including 0.0, 0.02, 0.06 &amp; 0.1%. Results show that triple tube heat exchanger with inclined baffle at 75° gives maximum outlet temperature for nano-fluid of 20.77 °K for ø = 0.1which is 21.71% greater than without baffle, 33.56 % greater than straight baffles and 20.58% greater than baffles inclined at 60°. The heat transfer rate of 17.98% higher than without baffle, 27.79% higher than straight baffle and 17.04% higher than baffles inclined at 60°, while the maximum overall heat transfer coefficient of 0.9832 for ø = 0.1 have been observed. Hence concentric triple tube heat exchanger with inclined ribs at 75° recommended for better heat transfer.</p> <p><em>URN:NBN:sciencein.jist.2023.v11.505</em></p> 2023-01-07T00:00:00+00:00 Copyright (c) 2023 Arvind Gwatiya, Nitin Dubey https://pubs.thesciencein.org/journal/index.php/jist/article/view/517 An analytical study on testing metrics for software applications 2022-11-29T06:31:37+00:00 Kamal Kant Sharma kantkkiet@gmail.com Amit Sinha assuranceeducationalgrp2016@gmail.com Arun Sharma assuranceeducationalgrp2016@gmail.com <p>In day-to-day life, software applications have acquired an important part. Some of these applications are open source and some are paid ones. Majority of Users mainly search for free, error-free apps that can meet their requirements. So, to make error free applications, proper testing is required which requires more time and efforts. Similar to desktop applications, black box or white box testing can be applied to mobile applications too. The main objective of this paper is to review on different testing methods used for testing mobile applications, web applications or artificial intelligence applications. The paper reviewed and analyzed the recent contributions of researchers using machine learning approach for testing software applications and identified the limitations and future research scope in this field.</p> <p><em>URN:NBN:sciencein.jist.2023.v11.517</em></p> 2023-01-20T00:00:00+00:00 Copyright (c) 2023 Kamal Kant Sharma, Amit Sinha, Arun Sharma https://pubs.thesciencein.org/journal/index.php/jist/article/view/522 Soft Computing: Goals, importance and various problem-solving techniques 2022-12-11T23:10:20+00:00 Reeya Agrawal agrawalreeya0304@gmail.com Oshin Sharma oshins1@srmist.edu.in Nojood O Aljehane agrawalreeya98@gmail.com Romany F. Mansour agrawalreeya98@gmail.com <p>The purpose, importance, approach, qualities, and requirement of soft computing are all discussed in this study. Apart from that, the paper describes the work of numerous writers in soft computing and various problem-solving techniques such as genetic algorithms, fuzzy logic, and machine learning. The paper also discusses the differences between hard and soft computing. Furthermore, the study discusses various problem-solving techniques' benefits, limitations, and drawbacks. In soft computing, on the other hand, approximation models are utilized instead of traditional computation to handle complicated real-world problems. Soft computing can also be fraught with uncertainty and ambiguity. Soft computing is a form of computing that includes fuzzy logic, genetic algorithms, artificial neural networks, machine learning, and expert systems. It has become a significant part of the work in automatic control. Soft computing technologies are now widely employed in various residential, corporate, and industrial applications and have proven effective. Soft computing approaches and applications will become more prevalent as low-cost, high-performance digital processors and cheap memory chips become increasingly popular.</p> <p><em>URN:NBN:sciencein.jist.2023.v11.522</em></p> 2022-12-23T00:00:00+00:00 Copyright (c) 2022 Reeya Agrawal, Oshin Sharma, Nojood O Aljehane, Romany F. Mansour https://pubs.thesciencein.org/journal/index.php/jist/article/view/527 Optimization in channel selection for EEG signal analysis of Sleep Disorder subjects 2022-11-30T16:56:03+00:00 Sumedha Borde bordesumedha@gmail.com Varsha Ratnaparkhe patwadkar.varsha@gmail.com <p>Deep learning, a branch of artificial intelligence (AI), is establishing a very promising approach for electroencephalogram (EEG) signals to sense and extract features from raw signals. The presented work here focuses on optimization in channel selection and batch size for EEG signals to identify sleep disorder subjects from normal ones with the deep learning-based model. It is observed that the data from several electrodes reduced recall obtained also starts reducing. To implement this work, an openly available Physionet EEG dataset from various ten electrodes is used. The long short-term memory (LSTM) method from a class of Recurrent Neural Networks (RNN) is nominated for the detection of sleep disorder subjects. The suggested method can achieve a recall of 99.8% on the test dataset.</p> 2022-12-23T00:00:00+00:00 Copyright (c) 2022 Sumedha Borde, Varsha Ratnaparkhe https://pubs.thesciencein.org/journal/index.php/jist/article/view/503 Convolutional Neural Network based sentiment analysis with TF-IDF based vectorization 2022-11-13T15:50:17+00:00 Bhavna Kabra bhavnakabra1109@gmail.com Chetan Nagar chetan.nagar@gmail.com <p>Recent years have seen an increase in interest in sentiment analysis(SA), which is the process of determining if a textual item communicates a favorable or negative opinion about a certain entity such as a business, people, or government. It plays a crucial part in NLP. The growth of user-generated material in recent years, such as traveler reviews, has resulted in a significant volume of unstructured data that is challenging to extract usable information from. Predicting the precise sentiment polarity of the customer reviews, user ratings, recommendations etc. is still a difficult problem, particularly for fine-grained sentiment categorization, because of the variations in length of the sequence, texts ordering, and complex logics. In this research, first propose sentiment analysis using deep learning, a unique approach compared with other existing techniques which makes the input data sample of a constant sizing and enhances the percentage of sentiments data in each review. Research present CNN-TDIDF family models, which combine CNN and TF-IDF in parallel and are based on deep learning and are inspired by the most current research on neural networks. Experiments on a number of difficult datasets, show that the suggested strategy performs better than many standard approaches. This system has been shown to operate better than conventional machine learning methods and reach 87 percent accuracy rate. Comparing this work to past efforts, we are also able to attain a very high accuracy rate.</p> <p><em>URN:NBN:sciencein.jist.2023.v11.503</em></p> 2023-01-22T00:00:00+00:00 Copyright (c) 2023 Bhavna Kabra, Chetan Nagar https://pubs.thesciencein.org/journal/index.php/jist/article/view/525 Automation in the Test Rig to determine the Load-Deflection characteristics of Helical Spring Washers 2022-11-30T13:42:18+00:00 Amit D. Desale amitdesale@gmail.com Girish R. Desale gr.desale@ncl.res.in <p>In the mechanical system the induced vibrations and dynamic conditions are responsible for loosening the components in nut-bolted assembly. The washer plays a vital character in nut-bolted linkages and prevents the loosening of components. The selection of size and type of washer mainly depends on the size of nut and bolt, frequency and amplitude of vibrations induced in the structure. Many investigators have tried to design and manufacture a test-rig to study the load-deflection properties of spring washers. In the present investigation efforts have been made to design and develop an automated test-rig that can determine the load-deflection characteristics of spring washers. The stepwise and manual operation of the old test-rig is converted into continuous and gradual movement. The main controller used is Arduino Mega 2560 board which controls the stepper motor and display of load for corresponding deflection on monitor of Arduino IDE software. The load-deflection properties obtained from manual test-rig and newly developed automated test-rig are similar in nature. The use of stepper motor and Arduino programing provides the freedom to obtain a very small step size for deflection which helps to obtain smooth curves in load-deflection diagram without any manual error. The time required to obtain the load and deflection values on the serial monitor of an Arduino IDE software is not affected by the decreasing the step size.</p> <p><em>URN:NBN:sciencein.jist.2023.v11.525</em></p> 2023-01-03T00:00:00+00:00 Copyright (c) 2023 Amit D. Desale, Girish R. Desale https://pubs.thesciencein.org/journal/index.php/jist/article/view/533 Comparing the efficacy of nanocurcumin and its bulk counterpart to understand the permeability - an in vitro approach 2022-12-07T09:18:21+00:00 Viraaj V viraajvishnu@gmail.com Rachael J Khodabux rachaeljilu@gmail.com Indhuja J indhujakeethu@gmail.com Sudharsan S. sudharsansankar98@gmail.com Thamizhchelvan H hthamizh@gmail.com V Deepa Parvathi deepaparvathi@sriramachandra.edu.in <p>The anti-carcinogenic effects of curcumin have been enhanced by its use in the management of oral cancer when delivered orally, topically, as an adjuvant, and in combination with other drugs. However, the therapeutic effects of bulk curcumin are severely limited by a number of significant related issues including poor absorption and low bioavailability.This may be attributed to the poor permeability of bulk curcumin. The need for a smaller sized and smart molecule was accomplished by generating nanocurcumin.The present research study aimed at synthesis (chemical and green), characterisation, and testing nanocurcumin on human lymphocytes, erythrocytes and OSCC cell lines and comparing its effects with bulk curcumin. The study has demonstrated the improved permeability of nanocurcumin compared to its bulk counterpart. Considering the high prevalence of oral cancer in India and the wide availability of the traditional curcumin, its cost effectiveness provides an excellent potential to nanoformulation of curcumin in cancer treatment.</p> <p><em>URN:NBN:sciencein.jist.2023.v11.533</em></p> 2023-01-30T00:00:00+00:00 Copyright (c) 2023 Viraaj V, Rachael J Khodabux, Indhuja J, Sudharsan S., Thamizhchelvan H, V Deepa Parvathi