Demand Forecasting in Textile Industry for Weaving Materials Using AI
Authors:-Prapti Jain

Abstract-Artificial intelligence (AI) is changing the future of several industries, including the apparel and textile sectors. This white paper provides an overview of AI applications for demand forecasting, process innovation, sustainable manufacturing, and defect detection in the textile and apparel industry. This investigate incorporates numerous investigate papers and scholastic articles to appear the critical part of AI, particularly in estimating the request for material fabric. Procedures such as fake neural arrange (ANN), back vector machine (SVM) and information mining procedures are utilized for application forecast and blame discovery. This paper too investigates the affect of AI on organizational effectiveness, supportability and customer behavior within the attire industry. This paper points to supply information on the current state of AI integration within the material industry and the suggestions for future improvement through writing investigation and case considers.

DOI: 10.61137/ijsret.vol.10.issue3.176

Published by: Kajal Tripathi

Industrial Radiography Testing and Technique or Safety Human Body
Authors:-Professor Dr. Rashmi Shrivastava, Hardev

Abstract-The use of Industrial Radiography for examining the quality of Weld joints is very popular worldwide. In India, many welding activities like construction and laying the huge pipelines for gas and water transportation and distribution as well construction of storage tanks are performed. The objects are working under high pressure and therefore, it is important to produce the weld beads with high quality. Industrial radiography uses ionizing radiation to view objects in a way that cannot be seen otherwise. The method has grown out of engineering, and is a major element of non-destructive testing (NDT) to inspect materials for hidden flaws. The radiation caused by these facilities is very dangerous however, with the use of new technologies and proper protection, risks of injury and death associated with radiation can be greatly reduced. This paper questions the common assumption that an industrial radiographer has role responsibility for job safety, pointing out that the owner, or supervisor in charge of the overall work, has overall responsibility. Management models are proposed in which the owner or supervisor takes a more active role than has usually been the case. It also discusses a radioisotope retrieval incident and recommends a revision to gamma camera designs, proposing that the lock should be fitted to the delivery port not the control port.

DOI: 10.61137/ijsret.vol.10.issue3.175

Published by: Kajal Tripathi

Tap Water Disinfection in the Electrochemical Precipitation Process by Using Novel Conductive Concrete
Authors:-Md. Shoriful Islam, SK Imdadul Islam, K M Risaduzzaman

Abstract-The effect of electrochemical precipitation (EP) on tap water disinfectants is being investigated. Without the use of chemical additives, this procedure involves delivering electricity through electrodes submerged in water to precipitate dissolved metals, such as hardness. This study assesses the impact of EP on disinfectants in tap water. In addition to hardness, residual disinfectants found in tap water are essential for preventing possible pathogens from entering the water supply before they reach customers. Free chlorine levels in drinking water must be kept between 0.2 mg/L and 4 mg/L, according to USEPA regulations. The chemical makeup of chlorine species can change during the EP process due to pH variations close to the electrodes. In contrast to the sacrificial metallic cathodes used in traditional EP procedures, a newly created conductive concrete block is used in this work. Constructed from concrete, these blocks have conductive graphite flakes imbedded in them. The purpose of the study is to quantify the amounts of free and total chlorine in tap water under various treatment circumstances, including pH levels, chloride concentrations, current densities, and treatment times. Greater amounts of free chlorine disinfectants are found in water with greater chloride concentrations, longer treatment periods, and higher current densities, according to preliminary research findings. This study presents conductive concrete and EP as a novel way to eliminate hardness and maybe improve disinfection. It seeks to present early data demonstrating its effectiveness and value addition as a disinfection technology.

DOI: 10.61137/ijsret.vol.10.issue3.174

Published by: Kajal Tripathi

Suitability of Wireless EEG Head Set for BCI Application: Emotiv vs. Neuphony
Authors:-Greeshma Sharma, Rohit Kumar Mishra, Aakash Deep, Saumya Kushwaha, Priyanka Jain, Naveen Kumar Jain

Abstract-This study compared the suitability of consumer- grade wireless Electroencephalography (EEG) headsets to Brain computer interface (BCI) paradigms on open-source and in-house built applications. One participant performed ten tasks using two EEG devices, i.e., the Emotiv EPOC+ and Neuphony. The participant performs a 2-minute eye-close dand eye-open task comprising a resting EEG task.The resting EEG task was carried out to evaluate the signal quality of EEG signals. Subsequently, motor imageryandP300-based speller tasks were performed using open Vibe software for BCI. At the end, participant performed a P300-based 3*3 speller task for an in-house-built BCI application. Preliminary analysis revealed that raw EEG data from Emotiv EPOC+ had a higher SNR compared to Neuphony. However, by treating both sets of data through Independent Coponent Analysis (ICA), we found that the signal quality of Neuphony is on par with that of Emotiv EPOC+. Furthermore, accuracy in BCI application was comparable in both devices, demonstrating their suitability in BCI paradigms. This plethora of measurements gives a thorough comparison that encompasses several features of EEG data for BCI. Our findings indicatethat the Neuphony may be utilised effectively in BCI applications across research and clinical settings with comparable quality to the Emotiv EPOC+.Index Terms-WPT, Inductive and Capacitive power transfer technique, Far field techniques.

DOI: 10.61137/ijsret.vol.10.issue3.173

Published by: Kajal Tripathi

Empowering Smart Cities: Exploring the Role of IoT in Urban Transformation
Authors:-Chaitanya Labhe, Mayur Patil

Abstract-The integration of Internet of Things (IoT) technology within urban settings has emerged as a transformative force, exerting a profound influence across diverse sectors such as transportation, utilities, public safety, and sustainable urban development. Within transportation, IoT facilitates real-time traffic monitoring, enhances the efficiency of public transit systems, and simplifies parking processes, all of which contribute to mitigating congestion and improving the overall commuter experience. In utilities management, IoT-enabled solutions like smart grids, meters, and waste management systems optimize resource allocation, fostering sustainability by minimizing waste and maximizing efficiency. Public safety also stands to benefit significantly from IoT innovations, with smart surveillance and emergency response systems bolstering law enforcement capabilities and aiding in disaster management scenarios. Furthermore, IoT plays a crucial role in public health monitoring, enabling the tracking of air quality and disease spread to facilitate timely interventions and mitigate health risks. The concept of sustainable urban development is further advanced through IoT technologies, which allow for the optimization of energy consumption, transportation networks, water management systems, waste disposal processes, and environmental monitoring. This holistic approach to urban management not only enhances efficiency but also elevates the overall quality of life for residents. Despite the immense potential of IoT, its widespread implementation encounters various challenges, including concerns related to security, technological limitations, infrastructural barriers, and socioeconomic disparities. However, ongoing advancements in IoT, such as the integration of 5G connectivity, artificial intelligence, sensor technology, urban digital twins, and blockchain solutions, hold promise for overcoming these obstacles and ushering in an era of smarter, more sustainable, and inclusive cities.

DOI: 10.61137/ijsret.vol.10.issue3.172

Published by: Kajal Tripathi

Recommending Right Cloud Service Provider Using Autonomic Computing
Authors:-Research Scholar Harcharan Singh Mittu, Associate Professor Dr. Rachna K. Somkunwar

Abstract- Choosing the right cloud service provider (CSP) is a pivotal decision for organizations seeking to leverage cloud computing for operational efficiency and scalability. This paper aims to provide a structured approach to recommend the most suitable CSP using autonomic computing techniques. By automating the decision-making process, we can evaluate and compare various CSPs based on performance, cost, scalability, reliability, and security. Our approach not only simplifies the selection process but also ensures that the chosen provider aligns with the organization’s strategic objectives and technical requirements.

DOI: 10.61137/ijsret.vol.10.issue3.171

Published by: Kajal Tripathi

Availability Analysis of Tube in Tube Heat Exchanger
Authors:-Ch. Uday Kiran, Assistant Professor T. Siva Krishna, Associate Professor J A Ranga Babu

Abstract-The Heat Exchangers are used to transfer heat between one fluid and another fluid without allowing two fluids to come into direct contact with each other, the fluids may be either liquid or gaseous form. In this paper we are going to perform analysis for tube in tube Heat Exchanger. The availability Analysis involves the identification of the Heat transfer rate, Entropy Generation, Availability loss. In this paper the availability analysis is performed for tube in tube heat exchanger by considering four working fluids, water, N- pentane, Mineral oil, Glycol, with two flow arrangements, parallel flow and counter flow. And the four working fluids are compared each other. After the availability analysis is performed, graphs are drawn for the four working fluids and compared. It seems to be that the water has high heat transfer rate than other working fluids, also the entropy generation and the availability loss is less for the n- pentane, the efficient fluid is n- pentane in this analysis among the four working fluids.

DOI: 10.61137/ijsret.vol.10.issue3.170

Published by: Kajal Tripathi

Event Decoration with AR
Authors:-Assistant Professor Uma Bhokare, Rachana Sadamate, Vasudha Sabale, Sharayu Pisal, Shreeya Shete, Himani Salunkhe

Abstract-Augmented Reality (AR) technology has emerged as a transformative tool in various industries, offering immersive and interactive experiences. In the context of event decoration, AR presents a promising avenue for enhancing creativity, engagement, and customization. This research paper explores the application of AR in event decoration, aiming to revolutionize the traditional methods of designing and visualizing event spaces.

DOI: 10.61137/ijsret.vol.10.issue3.169

Published by: Kajal Tripathi

Theoretical Framework on Accounting for Planet
Authors:-Assistant Professor Ravi Kiran N

Abstract-Planet accounting is one of the very important and contemporary topics as it addresses the impact of business on the environment. In today’s world planet is of utmost important and every organisation must strive to uplift the quality of the planet and not deteriorating it. Planet accounting helps making business responsible from environmental point of view. Present study tries explore the concept of Accounting for planet, by describing various branches and its relevance to the current scenario. Further, study also tries to explain importance of each branch and how can one adopt those methods for the benefit of both organisation, society and Environment. Ultimately, study explains how an accountant can successfully implement accounting for planet in an organisation.

DOI: 10.61137/ijsret.vol.10.issue3.168

Published by: Kajal Tripathi

Enhancing Job Recommendation Systems through Machine Learning: A Comprehensive Analysis of Skill Sync Job Recommendation System
Authors:-Rupali Sharma, Rupam Maji, Mudabbir Shazan, Rutika Khose, Nidhi Gaikar

Abstract-This study explores the efficacy of employing advanced algorithms and machine learning techniques within job recommendation systems, focusing on precise matching between user profiles and job descriptions. By incorporating factors such as skills, experience, and industry trends, the system optimizes career recommendations, aligning with individual preferences and professional goals. Leveraging resume parsing for user profiles and machine learning algorithms like collaborative filtering for job matching, alongside natural language processing for enhanced understanding, the system offers tailored suggestions. It integrates an email notification system and dynamically generates personalized content, thereby enhancing the job recommendation experience.

DOI: 10.61137/ijsret.vol.10.issue3.167

Published by: Kajal Tripathi