Common Lightweight PUF-Based Validation Plan Involving Arbitrary Key Administration System for Asset Compelled IoT
Abstract- This paper presents an original RF-PUF-based validation plot, called RKM-PUF which exploits a powerful irregular key age that relies on both correspondence parties in the organization to recognize interruption assaults. Dissimilar to the current verification plots, our proposed approach considers the actual qualities of both involved gatherings to create the mystery key, bringing about safely shared confirmation of the two hubs in a remote organization. The trial consequences of the proposed confirmation plot demonstrate the way that the RKM-PUF can arrive at up to close to 100% in ID precision.
Review on to Design and Develop an Anti-Sleep Alarm for Drivers
Authors:-Ankit W Kolarkar, Nisha R Sontakke, Gaurav A Kukadkar, Yogilesh K Gujar, Professor Achal Kambale, Profssor Nutan Dhande, Profssor Abhishek K Singh
Abstract- The Worldwide, sleepiness and driver weariness play a major role in traffic accidents and fatalities. We have created an inventive Anti-Sleep Alarm system especially for drivers in order to solve this pressing problem. Advanced sensor technologies, and an intuitive design are combined by this system to efficiently identify and warn drivers when they are in danger of while operating a vehicle. The three main parts of the Anti Sleep Alarm system are an alert mechanism, and a design of the Anti-Sleep Alarm system user- friendliness, ensuring that it is easy to use, comfortable to wear, and non-intrusive during normal driving conditions. It offers customization options to adapt to individual driver preferences and sensitivities.
A Study on Effects of Different Nanofluids on Trapezoidal Corrugated Channel
Authors:-M.Tech Scholar Abhishek Ramteke, Professor Dr. Sanjay Kumar Singh
Abstract- Heating/cooling processes using different techniques are essential in many industrial applications such as production and electronics processes, and consequently, all machines require reducing or increasing heat transfer. Despite the high pressure drop caused by turbulent flow in complicated channels, the use of corrugation in heat exchangers has received a lot of attention during the last two decades. Therefore, corrugated surface technique is the promising method to intensify the thermal performance and compactness of heat transfer instruments in some cooling system applications, especially in compact plate heat exchangers. In this study a CFD analysis of trapezoidal corrugated channel was done by using different nano-fluids.
Review on Building Structures Subjected to Wind Loads
Authors:Research scholar Shubham Patel, Assistant Professor & (HOD) Rahul Satbhaiya
Abstract- The review paper delves into the intricate realm of wind load analysis in building structures, offering a comprehensive exploration of historical developments, contemporary methodologies, and emerging trends. Tracing the evolution from empirical approaches to advanced computational simulations, the review highlights pivotal milestones, including the establishment of international standards and the integration of computational fluid dynamics. Real-world case studies illustrate the practical implications of wind load analysis, shedding light on the performance of structures during extreme weather events. While showcasing the achievements in understanding and mitigating wind-induced forces, the paper underscores the imperative of adapting design strategies to meet the challenges posed by climate change. As the built environment faces an era of heightened environmental uncertainty, the synthesis of historical knowledge and cutting-edge advancements emerges as a crucial paradigm for ensuring the resilience, safety, and sustainability of building structures in the face of dynamic wind forces.
The Motivating Factors and Effects of Border Tourism that is Community-Based: A Case Study in Jammu and Kashmir
Authors:Rayees Ahmad Bhat, Arfat Ashraf
Abstract- The growth of the tourist sector may have a significant impact on the general development of an area since it may provide employment and boost business. Travellers are conflict sensitive and respond favourably to peace. An effective means of fostering peace is via tourism, which encourages cross-cultural exchange and fosters tolerance, and national integration, empathy, compassion, high educational standards, justice, and respect for one another. The link between tranquilly and tourism is fascinating because the two may be mutually beneficial; on the one hand, tourism can be a vital force for peace, but on the other hand, tourism depends on peace to grow and develop. Tourism has the potential to foster the required degree of interpersonal intimacy while helping significantly to the establishment of a tranquil atmosphere. Touring involves no boundaries or animosity while providing passengers with wonderful experiences. In order to ascertain the structural connections between constructs, this research used structural equation modelling (SEM), confirmed factor analysis, and exploratory factor analysis. The study’s data came from 214 surveys that locals in the region of Jammu and Kashmir’s Poonch, as district—a popular tourist destination—completed. The findings showed that the factors most influencing local community engagement are personal and economic, afterwards social and environmental factors in that order. The respondents also agreed that, in addition to the other two elements, destination development has made an important contribution to the economy. The results corroborate the idea that the local community’s perception of tourism is crucial to the growth of indigenous tourism.
A study of Role of Solarization in the Growth of the Agriculture Sector in India
Authors:Research Scholar Priyanka Priyadarshi
Abstract- This research paper explores the potential role of solarization in fostering the growth and development of the agriculture sector in India. As a country with a predominantly agrarian economy, India faces numerous challenges in meeting the growing demands for food security, sustainable agricultural practices, and climate change adaptation. Solarization, the utilization of solar energy in agricultural activities, offers a promising solution to address these challenges. This paper examines the benefits and applications of solarization in various aspects of Indian agriculture, including irrigation, crop drying, livestock farming, and post-harvest management. Furthermore, it discusses the current state of solarization in India, identifies barriers to its widespread adoption, and suggests strategies for overcoming these obstacles. The findings of this study highlight the potential of solarization as a catalyst for the growth and transformation of the agriculture sector in India, paving the way for a more sustainable and resilient future.
Floating Dual Axis Sun Tracker Solar Panel
Authors:Nitesh Singh, Dr. D Shakina Deiv
Abstract- Floating sun tracker solar panel is a solar panel that is mounted on a floating platform and incorporates a sun tracking mechanism. The floating panel allow advantages such as reduced land requirements and minimized water evaporation. The sun tracker mechanism adjusts the orientation of the solar panel to follow the sun’s path, maximizing energy generation. This technology offers increased energy production compared to fixed solar installations and can benefit from the cooling effect of water. However, challenges exist in system design, mechanical and electrical issues, and ensuring stability in water environments. Further research is needed to optimize these systems and assess their economic viability.
Explainable AI for Enhanced Safety Signal Detection and Mitigation in Clinical Trials: Unveiling Insights from SDTM Data
Authors:Lasya Shree Sharma
Abstract-Clinical trials play a crucial role in ensuring the safety and efficacy of emerging drugs and treatments. However, the conventional statistical methods employed for analyzing adverse event (AE) data within Safety Domain Terminology Mapping (SDTM) datasets often lack transparency, posing challenges in interpretation and impeding targeted risk mitigation efforts. Addressing this issue, we propose a novel approach that involves harnessing Explainable AI (XAI) algorithms to discern key features and relationships relevant to specific safety signals within SDTM AE data. This paper delves into the potential transformative impact of employing XAI in conjunction with traditional safety analyses, thereby enhancing our comprehension of safety concerns and the overall effectiveness of risk management techniques. By leveraging XAI, we aim to not only uncover hidden patterns and correlations within the intricate web of AE data but also to provide a more interpretable framework for stakeholders involved in clinical trials. This innovative integration of XAI into safety analyses has the potential to significantly augment our ability to identify and understand safety signals, ultimately contributing to more informed decision-making in the realm of drug development and patient care.
Spatial Distribution of Air Quality in Manikganj District Town, Bangladesh: A Winter Time Observation
Authors:Professor Dr. Ahmad Kamruzzaman Majumder, Marziat Rahman, Md. Nasir Ahmmed Patoary, Shah Newaz Khan
Abstract-Air pollution is the biggest threat to human survival, particularly in emerging nations. The objective of this study is to estimate the Particulate Matter (PM1, PM2.5 and PM10) and Carbon Monoxide (CO) concentration in Manikgonj district town. This study was conducted on 60 locations based on seven land use in Manikgonj district town, by using a portable Air Quality Monitor and portable CO meter. It is found that average concentrations of PM in 60 places in Manikgonj district town were 61.96, 101.95 and 132.19 µg/m3 respectively which were 4 and 2.5 times higher than World Health Organization (WHO) standard levels. It is estimated that the average PM2.5/PM10 was 77.25% and PM1/PM2.5 was 60.80%. The average concentration of PM2.5 in different land-use was found higher which is 1.57 folds than the daily Bangladesh National Ambient Air Quality Standard (NAAQS) level. The average concentration of CO was found 1.1 to 2.15 times higher than standard level. Further found that the changes in the concentration of all the selected parameters within land uses were significant. The average concentration of PM2.5 follows as commercial area > road intersection area > village area > sensitive area >mixed area > industrial area > residential area. Air pollution can reduce by making people aware of it as well as implementing the law.
A Deep Learning and Machine Learning Framework for Credit Card Fraud Detection
Authors:Research Scholar Ravendra Agrawal, Assistant Professor Pradeep Tripathi
Abstract-The proliferation of digital transactions has led to an increase in credit card fraud, a critical challenge in the financial sector that necessitates sophisticated detection mechanisms. Machine Learning (ML) and Deep Learning (DL) frameworks have emerged as powerful tools in combating such fraudulent activities. These technologies enable the identification of fraudulent transactions by learning from vast amounts of transactional data, detecting patterns and anomalies that might indicate fraud. By leveraging algorithms that can adapt and improve over time, ML and DL models provide an evolving defense against the constantly changing tactics of fraudsters. The integration of these frameworks into fraud detection systems has proven to be highly effective, significantly reducing the rate of successful frauds and securing the integrity of the credit card transaction ecosystem. This abstract encapsulates the essence of using ML and DL for credit card fraud detection, highlighting their role in enhancing security measures in the financial industry.
A Study on Effects of Advertisement on Consumer Buying Behaviour of Health Drinks
Abstract-In the modern economy everyone are influenced to consumption of one or the other product. The size of the consumer market in the country is vast and it is constantly expanding based on the demand of the consumers. People spend billions of rupees on goods and services. Consumer preferences are changing day by day and the demand for the various consumer products are increasing as well. In order to have a competitive advantage, the marketer must identify the needs of the consumer and produce the goods accordingly. In this view, advertisement plays an important role in creating an image and creates a brand image about the product in the minds of the consumer. The advertisements create a sense of satisfaction among the minds of people by conforming them by stating the requirements which customer prefers. Advertisement gives the knowledge about the products to the outsiders. The main purpose of the study is to determine the role of advertisement on the consumer buying behaviour and to safeguard against the indiscriminate use of advertising. The present study is based on primary and secondary data. The primary data will be collected from the respondents in Gonikoppal. 30 respondents will be selected for the study. The data is also collected through interview and self-administered questions. The data so collected is analyzed and interpreted. The data for the secondary information’s where collected by refereeing to previous studies conducted, journals, books etc. To put forth the suggestions and implications for improvising the product is also an aim of the study. Mainly advertisement manipulates the consumers.
Weighing Up the Financial Soundness of Public Sector Banks with Bankometer Analysis
Authors:Assistant Professor Mrs. Yasmin. A. Barodawala
Abstract-In the dynamic landscape of modern finance, the ability to comprehensively assess a bank’s performance has become paramount. This calls for introducing the “Bankometer” – a sophisticated tool designed to gauge the health, efficiency, and stability of banks in an ever-evolving financial environment. As banks play a principal role in economic growth and stability, the Bankometer emerges as a critical solution to provide stakeholders, including regulators, investors, and customers, with a clear and standardized measure of a bank’s performance. By analyzing a range of key indicators, from capital adequacy to asset quality, profitability, and risk management practices, the Bankometer empowers decision-makers to make informed choices, safeguard financial stability, and bolster public trust in the lending sector. The present study employs Bankometer to analyze the solvency position of six Public Banks (Anchor Banks) in India, on its six parameters – Capital to Assets ratio, Equity to Assets ratio, Capital Adequacy ratio, Non-performing Loan ratio, Costs to Income ratio and Loan to Assets ratio, for a period of four years from 2018-19 to 2021-22. The outcome of the study is that all banks have achieved the S-score of 70 and above, indicating that all banks are in a healthy state and sound, with the highest S-score of 102.09 taken by Indian bank. The study further investigates whether there lies any significant difference in the solvency of banks under study using the one-way ANOVA. The results infer that there exists a significant difference in the banks’ S-score (Solvency) that have been calculated using the Bankometer S-score model.
Design of Chilled Water Distribution Systems
Abstract-A chilled water plant can be conceptually well designed but implemented in a manner that unnecessarily increase first costs. This paper evaluates different chilled water distribution systems configurations, for chilled water plant. These chilled water distribution systems configurations include Primary-only-variable flow, and Primary-Secondary, Primary-distributed secondary, and Primary -coil secondary. Different analyses are performed in a model, and results are tabulated and plotted to compare energy costs. This paper offers recommendation to assist designers and engineers to select the chilled water distribution systems, without significant effort on designing.
Review on Design and Sustainability of Retaining Wall Structures
Authors:Research Scholar Gaurav Kumar Shrawankar, Assistant Professor Sambhav Gangwal
Abstract-This review paper provides a comprehensive exploration of the multifaceted world of retaining walls in civil engineering and landscaping. Retaining walls are pivotal structures, integral to preventing soil erosion, creating terraced landscapes, and ensuring stability in diverse terrains. Through an extensive examination of various retaining wall types, including gravity walls, cantilever walls, and innovative solutions, this review underscores the significance of thoughtful design and construction methodologies. Critical factors such as soil characteristics, drainage considerations, and structural stability are highlighted, emphasizing the importance of a holistic approach in retaining wall projects. As the field continues to advance, embracing technological innovations and sustainable practices, the review identifies ongoing challenges and highlights the need for interdisciplinary collaboration. The dynamic nature of retaining wall research and development is emphasized, acknowledging its role in addressing contemporary issues such as climate change and urbanization. This abstract provides a snapshot of the diverse aspects covered in the review, offering insights into the current state and future prospects of retaining wall technology within the broader context of resilient and sustainable infrastructure.
An In-Depth Review of Self-Compacting Concrete and its Impact on Construction Practices
Authors:Research Scholar Animesh Kumar Sahu, Assistant Professor Charan Singh Thakur
Abstract-Self-Compacting Concrete (SCC) has emerged as a game-changing innovation in the realm of concrete technology, redefining the way we approach construction processes. This review paper offers a comprehensive exploration of SCC, delving into its unique rheological properties that eliminate the need for external compaction, thereby enhancing construction efficiency. Beginning with an overview of the historical development of SCC in the late 20th century, we delve into the constituent materials and intricate mix design methodologies that contribute to its exceptional flow ability and self-leveling characteristics. The paper systematically addresses the fresh and hardened properties of SCC, examining its mechanical performance, durability, and sustainability aspects. Moreover, a critical examination of the challenges associated with SCC and the evolving solutions will be presented. The versatility of SCC extends to a diverse range of applications, and this paper provides insights into its utilization in various construction projects. By synthesizing current research findings and industry advancements, the review aims to consolidate knowledge on SCC, providing a valuable resource for researchers, engineers, and practitioners seeking to understand and harness the full potential of this ground breaking technology in shaping the future of construction practices.
Regulatory Challenges and Public Health Implications of Adulterated Packaged Foods in India
Abstract-The consumption of packaged foods has increased significantly in recent years, but so has the incidence of food adulteration. Adulterated packaged foods pose a significant risk to public health, as they can contain harmful substances and may lack necessary nutrients. In this paper, packaged foods have become integral part of the modern lifestyle, providing convenience and variety to consumers. However, the rise in the consumption of packaged foods has also led to an increase in cases of adulteration, posing a serious threat to public health. Adulterated packaged foods not only deceive consumers but also have long-term health consequences. This paper aims to analyze the regulatory challenges and public health implications of adulterated packaged foods in India.
Authors:Melvin Mathew Johncy, Ashlin Biju, Pranjal Tiwari
Theory of Photon Gravitation Photon’s Gravitational Force and Attraction
Authors:Kaustubh Kanhai Gupta
Abstract-Gravity is the weakest force of the nature and thus the effect is only seen on massive objects such as stars, planets, black holes etc. It is impossible to study gravity with particles in lab but my theory can find the gravitational force exerted by a photon. It is a bit bitter as a photon carries energy but has no mass actually it has momentum which is its relativistic Mass and so if the momentum is 0 then mass is 0 as Einstein correctly described “mass is stored Energy” and no more confusion for e = mc2 as it also states relativistic mass of photon = hv (energy) / 300000000^2 m/s. If there was a way (there is not as special relativity prohibits it) to observe a photon at rest, you would find it massless. All the relativistic mass of the photon comes from its energy. In particle physics when we say mass, we usually refer to the rest mass. This is why we usually say that photons are massless but actually it has mass but relative to energy and momentum. Photons have gravitational pull but if you go with newton’s gravitation you will be confused but actually you point out on photon’s rest mass that is 0. Now for a photon, it has a gravitational pull and Relativistic mass that’s all my theory depends on.
A Review on Seismic and Wind Analysis of Multi-Storey Structure with T and L Shape
Authors:M.Tech Scholar Sahil Netam, Associate Professor R.K. Grover
Abstract-Analyzing the seismic and wind performance of multi storey structures with T-shape and L-shape geometries is a complex but essential task in structural engineering. Both seismic and wind loads can have a significant impact on the stability and safety of such structures. Performing seismic and wind analyses for multi storey structures with T-shape and L-shape geometries involves a comprehensive engineering approach. In both cases, it is crucial to start by defining the geometric characteristics and material properties of the structure. Performing seismic and wind analyses for multi storey structures with T-shape and L-shape geometries involves a comprehensive engineering approach. In both cases, it is crucial to start by defining the geometric characteristics and material properties of the structure.
Experimental Study of Self Compacting Concrete with Plastic Fibre
Authors:Rohan Chouhan, Assistant Professor Nishant Singh Kushwaha
Abstract-Self-Consolidating Concrete (SCC) has also brittle characteristics. This is unacceptable for any construction industry. The addition of fibers is one of the most common methods to enhance the tensile strength of concrete. Fiber controls the cracking phenomena and enhances the energy absorption capability of the concrete. On the other hand, the addition of fibers has a negative impact on the workability of fresh concrete. In this paper, a detailed study on the influence of Propylene fibers (PP) on the fresh properties of SCC was carried out.
Comparative Study of Analysis and Design of a Mezzanine Floor with use of Indian Standard Section and Built-up Section
Authors:M. Tech. Scholar Sunil Solanki, Professor Dr. Rajeev Chandak
Abstract-As we know, there has been great improvements in the technological advancements and steel is an expensive material as compared to the rest but when it comes to the cost-saving during the life span of the structure and steel has proven to be a very affordable material. In this paper, a mezzanine floor for pre-engineered steel buildings will be designed and analysed by using Indian standard section and Built-up section and compared to each. For it we are using software Staad-pro connect edition with keeping all the load conditions same like dead, live load, earthquake load and load combinations etc. acting on the mezzanine. This paper contains two types of structures which is type-1 and type-2 structure that will compare with each-other and determine the optimum results. The main objective of this work is to find out the total percentage change in weight and cost by change in standard sections and built-up section while taking all loading conditions same. The concept of Pre- engineered construction involves pre-engineered and quality construction systems and Pre-Engineered Buildings, or PEBs, are known for their efficiency and speed in construction. PEB mezzanine floors are an integral part of such structures. These mezzanines are engineered with precision and manufactured off-site, ensuring consistency and quality. They are typically made from steel, making them durable and capable of bearing heavy loads.
Architectural Review of Client-Server Models
Authors:Mr. Geofrey Mwamba Nyabuto, Mr. Victor Mony, Professor Samuel Mbugua
Abstract-Client-server architecture is a distributed systems architecture where one or more client computers request resources from a server computer over a network. The client computers provide user-friendly interfaces through which users request resources from the server. In turn, the server receives one or more requests, processes them, and returns a response to the requesting client. The birth of this architecture led to the birth of many models and applications including the Internet, banking systems, and mobile cellular networks among others. This model enables multiple users to simultaneously access and use the same resource. This study used a systematic approach to review types of client-server architecture, comparing these types by pointing out their characteristics, advantages, and disadvantages. Through the Google search engine, articles were retrieved, reviewed, and analyzed. The study was able to note that each of the types of client-server architecture has its advantages and disadvantages as per implementation needs. Two-tier architecture works well in a small set-up where not many resources are available, and the implementation is not resource intensive. On the other end, n-tier architecture is suitable where a lot of resources are needed, and high processing speed is required.
CFD Analysis of Horizontal Biomass Gasification Reactor
Authors:M.Tech. Scholar Vinay Kumar Gupta, Professor Suresh Kumar Badholiya
Abstract-Traditional combustion of biomass shows low efficiency in utilizing energy and therefore cannot compete with fossil fuels. Biomass gasification for combined heat and power (CHP) production offers much higher energy efficiency. This technology has been commercialized successfully in some countries. The modern world and the structure of our society are inextricably related to energy production. In the present scenario, the global population has become highly dependent on the production of energy through the industrial burning of fossil fuels. The scarcity of fossil fuels has led to the use of alternative energy sources like solar, wind, hydropower, geothermal, and biomass for sustainable development. In this study, the Performance of a horizontal agitator gasification reactor was investigated. Computational Fluid Dynamics (CFD) simulation of horizontal biomass gasification process has been carried out. The gas-solid interaction, thermal-flow behavior, and biomass gasification process inside a horizontal gasifier were studied using the software named commercial CFD solver ANSYS CFX. The influence of gasification air velocity on the eddy viscosity on the performance of horizontal gasifiers was examined. Using ANSYS.
Tokenization for Text Analysis
Abstract-The Seminar “TOKENIZATION FOR TEXT ANALYSIS” is an advanced tokenization technique that is a revolutionizing text analysis, enabling researchers to glean profound insights from vast textual data. This study explores diverse tokenization approaches, encompassing word-based, subword-based, character-level, and language-agnostic methods, with a particular emphasis on BERT integration for capturing language nuances. Striking a balance between granularity and computational efficiency is paramount for practical applications in sentiment analysis, information retrieval, and natural language processing, where processing massive datasets while preserving language intricacies is essential. The study addresses challenges posed by social media content with informal language and unconventional writing styles, unsegmented languages lacking defined word boundaries, and multilingual datasets demanding language-independent tokenization strategies. For large-scale text analysis, optimizing tokenization to minimize processing time while maintaining analysis performance is critical, making tokenization a viable approach for real-world applications. This research provides valuable insights into aligning tokenization methods with text data characteristics and analysis goals, ensuring granularity matches task requirements. Furthermore, the study envisions seamless integration of advanced tokenization techniques with emerging NLP technologies, enhancing text analysis efficacy across domains for knowledge discovery and informed decision-making. Subword-based tokenization approaches, such as Byte Pair Encoding (BPE) and Sentence Piece, effectively capture language nuances and improve the performance of NLP tasks on social media data and other text datasets with informal language and unconventional writing styles. These methods break down words into smaller units, enabling a more granular representation of language. For multilingual datasets and unsegmented languages with undefined word boundaries, language-agnostic tokenization methods, such as those based on characters or word embeddings, prove to be valuable tools. These methods overcome the limitations of language-specific tokenization approaches and effectively handle diverse linguistic structures, making them well-suited for cross-lingual applications.
Detection of Cyberbullying Using NLP and Machine Learning in Social Networks for Bi-Language
Authors:Nikitha GS, Amritasri Shenoyy, K Chaturya, Latha JC, Janani Shree M
Abstract-Cyberbullying, a contemporary menace within the realm of social media, has emerged alongside the surge in social media usage, leading to the exploitation of freedom of expression. Statistics indicate that a substantial 36.5% of individuals believe they have experienced cyberbullying at some point in their lives. This figure has more than doubled since 2007, and there has been a noticeable increase from 2018 to 2023, indicating an unfavorable trend. Although existing solutions in the market aim to mitigate this issue, they often come with usage limitations or inefficient algorithms. The primary objective of this project is to explore innovative approaches for comprehending and automatically identifying instances of cyberbullying in tweets, comments, and messages across diverse social media networks. In pursuit of this goal, we have gathered real-time Twitter data, encompassing headlines, comments, and text messages from trending posts, and devised a Labeling study focused on cyberbullying. The subsequent analysis of the labeled data includes an examination of correlations between different features and both cyberbullying and cyber aggression. The core focus of this project is the early detection of cyberbullying during its inception in real time. Leveraging Machine Learning and supported by Natural Language Processing (NLP), we aim to enhance the efficiency of cyberbullying detection.
A Review on Managing Manufacturing Flexibility for Productivity in Engineering Industry
Authors:M.Tech. Scholar Vikas Kumar Suman, Professor Shyam Kumar Barode
Abstract-The current manufacturing process for shell and tube heat exchangers faces several challenges that impede efficiency and overall productivity. Bottlenecks in certain stages, such as Tube Fabrication and Tube Sheet Welding, contribute to suboptimal utilization percentages. Manual assembly processes and limited adaptability hinder the ability to respond effectively to fluctuations in demand or changes in product specifications. Furthermore, traditional manufacturing practices lack the integration of advanced technologies, resulting in longer lead times, increased error rates, and higher resource con7sumption. The absence of real-time tracking and collaboration tools further exacerbates these issues, leading to a less responsive and agile production system. Recognizing these challenges, there is a compelling need to address these inefficiencies and explore the implementation of a Flexible Manufacturing System (FMS) that incorporates advanced technologies and flexible strategies to overcome bottlenecks, improve resource utilization, and enhance overall manufacturing efficiency.
Technical Information on Onions and their Post-Harvest Disease Management
Abstract-Onions (Allium cepa) are a vital horticultural crop with a significant economic impact worldwide. Understanding the respiratory dynamics of onions during storage is crucial for optimizing post-harvest management and minimizing losses due to diseases. This technical information abstract explores the respiration rate of onions and effective strategies for post-storage disease management. The respiration rate of onions is a key physiological parameter that reflects the metabolic activity of the bulbs during storage. It is influenced by factors such as temperature, humidity, and storage conditions. Monitoring and controlling the respiration rate is essential for extending the shelf life of onions and preserving their quality. Post-storage diseases, including bacterial and fungal infections, pose a significant challenge to onion storage. This abstract discusses advanced techniques and technologies for disease detection and management. It explores the use of controlled atmospheres, modified atmospheres, and natural compounds to inhibit microbial growth and maintain onion freshness. Additionally, the abstract addresses the importance of integrated pest management (IPM) strategies in preventing post-storage diseases. This involves a combination of cultural, biological, and chemical control methods to create a holistic approach to disease management.
Production of Biobandages from Antimicrobial Textiles
Authors:Prof. Dr.Yasodha.T, Pooja.V, Associate Prof. Hemachandran.M
Abstract– Bandage is an ideal wound dressing used to prevent entry of dust and bacteria. Biomaterials fabricated with cotton can accelerate wound healing and reduce the risk of inflammations . In health-related professions, protection from pathogens is a growing concern and textiles with antimicrobial properties are desirable. General oxidants and some membrane disrupters offer the greatest potential as biobandages. The present investigation has been focused to reveal the efficacy of selected medicinal plant extracts in optimization and production of antimicrobial textiles involving standard tests viz., micro encapsulation techniques, agar diffusion method and modified Hohenstein test.Antimicrobial finishing process was enhanced by addition of polymers and viscosity increasing phytochemical agents to the fabric. Minimum inhibitory concentration (MIC) values represent the minimum amount of extracts of biomaterials for surface application on fabric is ranging from 25 to 68 μg/ml.The antimicrobial activity of these samples had been analysed and compared with the activity of the cotton fabric treated with chitosan(control) .From the results it is clear that Costus speciosus and Tridax procumbens had the highest effect followed by Azadiracta indica< Curcuma longa < Nymphaea nelambu against the pathogenic microbes from wounds of diabetic patients. Hence the present investigation confirms the viability of medicinal plant extracts as potential antimicrobial agents for antimicrobial finishing and used as biobandage.
Kyc through Blockchain
Authors:Prince Mohobia, Dr. P.M. Chaudhari, Harsh Sakhare, Najim Sheikh, Ramin Singh, Devanshu Bhajbhuje
Abstract- Know Your Customer (KYC) process plays a critical role in helping every bank verify the identity of its customers. Banks must conduct KYC checks to prevent criminals using them to commit crimes such as drug trafficking and terrorism. Current manual KYC processes are insecure, slow, and outdated. E-KYC allows users to quickly complete the recruitment process without leaving their homes. Using blockchain-based KYC verification, these limitations can be eliminated as blockchain provides features such as decentralization, transferability, and security. Governments around the world are using electronic KYC systems to make this task easier and more transparent. Governments around the world are rapidly implementing electronic KYC systems to expedite and improve transparency in this critical activity. This document provides access to unique trust based on a self-governing model that enhances customer privacy, has regulatory authority,and helps banks improve the reliability and accuracy of customer data. Presents a management system. Reduce customer acquisition costs. This article aims to offer a solution to this problem. Our solution uses blockchain to perform one-time KYC verification and eliminate multiple checks to ensure database security. Financial institutions on the blockchain network can access a user’s KYC information only with the user’s permission.
Authors:Praveen Kumar, Amit Verma, Amit Kumar
Abstract- Manufacturing Execution Systems (MES) are computerized systems used in manufacturing to track and document the transformation of raw materials into finished goods. MES provides information that helps manufacturing decision makers to understand how current conditions on the shop floor can be optimized to improve production output. MES works in real-time to enable the control of multiple elements of the production process (e.g., material, personnel, machines, processes).
Authors:Jhaideep Thodupunuri, Hariprasad Neerudi
Abstract- This paper is a deep dive into Angular JS, an important tool in modern web development. It starts by introducing Angular JS and talking about its history, explaining how it has played a big role in shaping the web as we know it today. The paper then explores why developers really like using Angular JS, highlighting its advantages and key benefits. A special focus is given to “Components,” which are like the building blocks of Angular JS. We explain how these components help in creating organized and flexible web applications. The paper explains the ongoing importance of Angular JS in web development, making it a crucial tool for developers looking to create dynamic and responsive websites.
Road Surface Deterioration Caused by Burning Car Tyres
Authors:Alhammali A Younis, Naser A Ali, Hamza A Abdelsalam, A. Elhoud
Abstract- Burning car tyers is the most common tool protesters use to express their anger. Nevertheless, people do not know the impact of flaring tyers on road structures. The elevated temperature of burning on road surfaces is harmful to pavement materials like bitumen. An investigation to determine the influence of tyer fire on a road was carried out after exposure to heavy fire during a demonstration. The investigation concluded that the severe damage to the road was due to the high temperature on the pavement surface, which was hundreds of degrees above the softening temperature of bitumen. In the meantime, the rubber ash as well as the steel wires’ fine hot spot regions in the form of deep damages supported the bitumen and binder segregation.
Factors Influencing Purchasing Behaviour of Consumers towards E-Vehicles
Authors:Saubhagya Bhowmick, Saptarshi Ray, Kaustave Roy, Yogesh Patil
Abstract-The objective of this study project is to examine the factors that influence consumers’ decisions to buy electric vehicles (EVs). The need to transition to sustainable energy sources and lower greenhouse gas emissions has increased interest in electric vehicles (EVs). However, a number of issues, including expensive initial expenses, a short driving range, and a lack luster infrastructure for charging EVs, have contributed to the delayed consumer acceptance of EVs. As such, it is vital to ascertain the pivotal elements that impact consumer inclination towards electric vehicle purchases. To better understand and predict consumers’ intention to buy electric vehicles, the study aims to operationalize and assess the extended Technological Acceptance Model (TAM) with perceived risk and financial incentives policy based on the integrative approach of “Beliefs-attitude-intention” (EVs). Using structural equation modelling (SEM), it is possible to determine how adoption intention for EVs is influenced both directly and indirectly by the predictor variables attitude, perceived utility, perceived ease of use, and perceived danger, with the policy of financial incentives acting as a moderator. The study also reveals that consumer education, awareness, and understanding are critical determinants of EV adoption. The main factors influencing consumers’ purchases of electric vehicles not only apply to the design and development of vehicles that better satisfy consumer demands, but they also provide a theoretical framework for the popularization of electric vehicles and act as a guide for consumers’ purchasing decisions. Expanding the public awareness of electric vehicles and offering more attractive battery and charging plans are two strategies that the government and relevant manufacturers should consider in order to attract consumers and support the auto industry’s sustainable growth. Globalization and technology have brought about significant advances in human civilization, but they have also had a negative impact on the planet’s biological ecology. As a result, many are thinking deeply about sustainable development and the environment. Vehicles powered by new energy are one way to address environmental problems.
“Transforming Financial Services: The Impact of AI on JP Morgan Chase’s Operational Efficiency and Decision-Making”
Authors:K Tulsi, Arpan Dutta, Navneet Singh, Deepansh Jain
Abstract-The purpose of this study is to investigate how artificial intelligence (AI) is transforming the operating environment of JP Morgan Chase, a significant global financial firm. The research looks into how JP Morgan Chase has used AI technology to boost operational efficiency, enhance working procedures, and empower decision-making across many business domains. The report examines the influence of these technical breakthroughs on JP Morgan Chase’s overall performance by assessing the individual AI applications implemented by the corporation, such as fraud detection, risk management, and trading algorithms. This study offers light on the advantages, obstacles, and potential hazards connected with integrating AI into the company’s day-to-day operations using a combination of qualitative and quantitative data. Finally, the research intends to give significant insights on the effective deployment of AI in the financial sector, as well as the implications for other industry participants.
A Survey of Machine Learning Techniques for Image Restoration
Authors:Research Scholar Ankit Soni, Assistant Professor Pradeep Tripathi
Abstract-The process of recovering damaged pictures has become a vital and useful tool for a wide variety of technical applications, such as imaging in space, imaging in medicine, and a great many other post-processing methods. These applications include imaging in space and imaging in medicine. These applications consist of the following: The vast majority of methods for restoring photos begin by replicating the processes that contribute to the deterioration of the picture, which include often blur and noise. After this step, they proceed to produce an approximation of the image’s initial form. In contrast, when one is dealing with a condition that is more typical of the actual world, one needs to estimate both the genuine picture and the blur based on the features of the degraded image. This is the case because one is dealing with a situation that is more realistic of the real world. This is the situation that one finds themselves in while interacting with a scenario that is more reflective of the actual world. This is performed without drawing on any previous a priori information that one may have had of the blurring mechanism. This thesis will build and present a unique method for the restoration of digital photographs that is reliant on punctual kriging and makes use of many different machine learning algorithms. The purpose of this thesis is to develop and demonstrate this innovative approach. The study is centered on the process of recovering pictures that have been deteriorated as a consequence of the presence of Gaussian noise. This is accomplished by striking a balance between two qualities that are diametrically opposed to one another: smoothness while maintaining the edge’s integrity.
An Assessment of a Job Recommendation using Machine Learning
Authors:Research Scholar Deepak Singh, HOD & Assistant Professor Nagendra Patel
Abstract-This research assesses the efficacy and efficiency of a job recommendation service that employs machine learning algorithms. The objective of the programme is to provide individualised employment suggestions to users, taking into account their talents, experience, and interests. The evaluation method include the gathering of user data, the training of a machine learning model, and the assessment of the tool’s precision and pertinence in connecting users with appropriate employment prospects. The survey also takes into account user experience characteristics, including usability, interface design, and general satisfaction. The results give significant insights into the tool’s capabilities, constraints, and prospective areas for enhancement, providing essential input for developers and stakeholders.
Impact of Social Media Advertising on Consumer Buying Behaviour
Authors:Saloni kumari, Hardik shiyani, Umashankar pandey, Rajneesh Yadav
Abstract-The ubiquity of digital communication technologies has led to widespread adoption of social media platforms, shaping consumer behavior and marketing strategies. This study aims to investigate consumer responses to online advertisements and their influence on purchasing habits. Key objectives include assessing social media usage for product purchases, analyzing the effectiveness of different advertisement strategies, evaluating online product information reliability, and understanding the impact of social media advertising on consumer behavior. Through empirical analysis, this research seeks to provide valuable insights for firms and consumers in navigating the digital marketing landscape.
A Review on Design of G+11 Storied Building Using Staad-Pro
Authors:Albira Ahamed Shaikh, Associate Professor Dr. Chaitanya Mishra
Abstract-The structural analysis and design of a multi story building is a complex and challenging task, requiring careful consideration of various factors such as load-bearing capacity, strength, stability, and durability. In this project, STAAD Pro software was used to analyze and design a multi story building. The project involved the creation of a 3D model of the building using STAAD Pro, followed by the application of various loads such as dead loads, live loads, wind loads, and earthquake loads. The software then analyzed the building frame, calculating the stresses, strains, and deformations in the various structural elements. Based on the analysis results, modifications were made to the design to increase its strength and stability. This involved adjusting the size and shape of the columns, beams, and other structural elements to ensure that they could safely withstand the applied loads. Finally, the project involved the selection of appropriate materials, such as concrete and steel, to ensure the durability and longevity of the building. The design was optimized to minimize the amount of material used while still meeting all relevant safety codes and standards.
Crop Health Prediction Based on Weather Changes
Authors:Shreyansh Lainingwala, Gaurav Borade, Azhar Sayyad, Kavita Damre, Shakir Khan
Abstract-In This research paper explores the integration of weather forecast data into a data-driven approach for accurate crop health prediction in agriculture. Recognizing the pivotal role of weather conditions in influencing crop growth and susceptibility to diseases, this study aims to bridge gaps in existing literature by employing advanced statistical and machine learning models. The methodology involves a comprehensive collection of weather data from various sources, including weather stations and satellite imagery, alongside crop health metrics. Special emphasis is placed on the seamless integration of weather forecast data into the prediction model, addressing challenges encountered during the process. The results demonstrate significant correlations between specific weather variables and crop health, validating the efficacy of the proposed approach. The discussion interprets findings in light of existing literature, offering practical implications for agriculture. Despite acknowledging study limitations, this research contributes valuable insights, paving the way for enhanced crop health prediction models that leverage real-time weather forecasts. The paper concludes by highlighting the significance of this integration and suggesting avenues for further research and implementation.
Review on Simulation of Power Steady State Control, Maximum Power Utilization and Compensation in Novel Power Grid Distribution System
Authors:Rahul Dev Shakywar, Assistant Professor Raghunandan Singh Baghel
Abstract-Smart grid is the modern form of power grid it considered as next generation power grid, which provides bidirectional flow of electricity and information in a suitable manner from generation to transmission and to distribution. It provides security to the system with improving the power grid reliability and efficiency of electrical system. The smart grid is modified version of power grid infrastructure. It has high power converters sensing and metering technologies, automated control for enhancing efficiency and reliability. Smart grid is more effective channel for communication cause of his modern techniques and infrastructure. The latest energy management techniques based on the optimization of demand, availability of network and depends on energy requirements. For improving the reliability of smart grid we explore various failure protection mechanism to make protection better and to get smart protection system. Failure protection mechanism explores the privacy issues in the smart grid.
Review on Observation and Identification of Islanding Phenomenon PV Connected Single DC Link
Authors:Jitendra Singh Solanki, Assistant Professor Raghunandan Singh Baghel
Abstract-As distributed generators increase their importance on the electric power system, more and more parameters have to be controlled in order to assure the proper operation of the utility. One of the main problems encountered with this kind of generation is the potential formation of islands which could keep working in a normal way even if the utility grid has failed. Many methods have been developed to prevent this situation and they have been classified into three groups: passive, active and methods based on communication systems. This paper checks the validity of some of the active and passive anti-islanding methods. Some of them are shown to work properly with any kind of utility and local loads in the potential island. On the other hand, some others would not disconnect the power generator when the total power of the local load fits that of the generator.
Review on Load Flow Analysis and Power Loss Minimization in 33 Bus Power Distribution System
Authors:Sanjay Bhuriya, Assistant Professor Raghunandan Singh Baghel
Abstract-In the literature, there are a number of efficient and reliable load-flow solution techniques, such as: Newton-Raphson method, Fast Decoupled Load flow method and Gauss-Seidel method. These techniques are well valid for transmission systems. The distribution systems are radial in nature (practically weakly meshed) whereas transmission systems are loop in nature. The distribution networks have a high R/X ratio compared to the transmission networks and hence are ill-conditioned in nature.
Review on Design and Simulation of UPFC Power System Fact Device Grid with Power Quality Improvement
Authors:AP Singh, Assistant Professor Raghunandan Singh Baghel
Abstract-In these paper, we discuss and study about the placement of one of the most versatile flexible alternating current transmission system (FACTS) device which is unified power flow controller (UPFC). By using unified power flow controller we can control all power system parameters individually or simultaneously. But without placing these device in its critical position it is impossible to get a better power flow improvement. The purpose of this paper is to present a comprehensive survey of UPFC controller incorporated in load flow analysis for optimal power flow control. We also discuss different optimization techniques for the optimal placement.
Review on Implementation of Solar Connected Electric Vehicle System
Authors:Ajeet Khoteak, Assistant Professor Raghunandan Singh Baghel
Abstract-The Solar powered plug-in electric vehicle is an economic vehicle with minimum maintenance. The main drawback of electric vehicles is the limitation of driving distance. By adding a solar PV module the vehicle battery can be charged while on drive. Here the mechanical parts like gearbox and differential are avoided. Direct drive to wheels allow efficient drive.
Chest Image Classification Using Knowledge Driven Feature Learning Framework
Authors:Manav Muramshetty, Gowtham Sai M, Assistant Professor Mr. B.Sateesh
Abstract-Chest cancer is a significant global health concern, impacting women worldwide. Early detection is crucial for effective treatment and improved patient outcomes. Over recent years, advancements in Chest cancer detection methods, including mammography, ultrasound, magnetic resonance imaging, and biopsy, have shown promising results in improving the accuracy of Chest cancer detection and reducing the occurrence of false positives when combined with Artificial Intelligence (AI) and Ma- chine Learning (ML) algorithms. Combining knowledge driven feature learning with deep learning classification algorithm like VGG 16 and RestNet50 gives a better accuracy.
Inventory Management Technique in Manufacturing Industry
Authors:M.Tech Scholar Dhannjay Singh Patel, Professor Ashutosh Diwedi
Abstract-There is a growing emphasis on the importance of inventory management in the attainment of organizational goal. In manufacturing companies where stock of raw materials and other component parts consists of many different items, the task of maintaining a stock management on every individual item is obviously difficult if not impossible. Inventory refers to the stock of resources that possess economic value, held by an organization at any point of time. These resources stocks can be manpower, machines, capital goods or materials at various stages. Inventory plays a vital role in the operation of organizations. On the average, inventory constitutes about sixty percent of the current assets in most manufacturing organizations. Since manufacturing firms maintain a large size of inventory, a considerable amount of funds is required to commit to them. Therefore, it is essential to analyse inventory management practices in manufacturing industry.
A Literature Survey of Distributed Denial of Service Attack Detection using Machine Learning: A Review
Authors:M.Tech scholar Ravi Alawe, Assistant Professor Shivank soni
Abstract-In this pepar,we discuss on the nature of the threats posed by Distributed Denial of Service (DDoS) attacks on large networks, such as the Internet, demands effective detection and response methods. These methods must be deployed not only at the edge but also at the core of the network. This paper presents methods to identify DDoS attacks by computing entropy and frequency-sorted distributions of selected packet attributes. The DDoS attacks show anomalies in the characteristics of the selected packet attributes. The detection accuracy and performance are analyzed using live traffic traces from a variety of network environments ranging from points in the core of the Internet to those inside an edge network. The results indicate that these methods can be effective against current attacks and suggest directions for improving detection of more stealthy attacks. We also describe our detection-response prototype and how the detectors can be extended to make effective response decisions.
Commerce Education in India: A Literature Review
Abstract-Education in commerce gives students a thorough understanding of the subject, supports trade, and prepares students to work in a variety of commercial functions. It is seen as one of the essential components of the growth of the country because of how crucial it is to promoting trade and industry. One of the earliest subfields of higher education in India is commerce education. In India, it is viewed as the foundation for a wide range of academic fields, including management, accounting, insurance, banking, taxation, finance, marketing, and business law. However, because these fields of education follow a practical-based or skill-oriented pedagogy, commerce education is now in competition with these new streams for students’ attention. In light of this, this paper aims to study identify and address the issues emerging in the dynamic world of commerce education and to recommend some new ways to enhance the subject’s quality and relevance.
Estimation of Stock Prices Based Deep Learning and Sentiment Analysis Techniques
Authors:Nikitha G.S, Tanisha Steephen, Indisha Gupta, Harshitha Rajesh
Abstract-Accurate foreseeing of the stock developments in the marketplace is pivotal within the global financial landscape. This process entails the precise prediction of both the trend and price of individual stockps with the overarching goal of optimizing transaction profits given the inherently non-linear and volatile nature of the stock marketplace. Attaining an exact forecast of stock trends poses a formidable challenge. By leveraging antecedent stock figures, one can foresee anticipated stock values. However, this task is intricate given the dynamic and complex characteristics of the market. To address this complexity our study introduces a robust predictive model utilizing Keras, a high-level deep learning API within the Tensor Flow platform. Supported by essential libraries like NumPy, Pandas and Sklearn, our model incorporates Sentiment Analysis to enhance the accuracy of stock price forecasts. By integrating various influences that contribute to the dynamics of the marketplace our proposed model aims to overcome the challenges correlated with stock exchanges foreseeing. This comprehensive approach blending advanced technologies and established libraries is designed to provide investors with more reliable and insightful predictions, enabling them to steer through the intricacies of the market with enhanced assurance.