No. |
Title and Author |
Area |
Country |
Page |
1 |
Real Time Analysis of Stock Price based on Technical Indicators and Investors Sentiment using Deep Neural Network
-Abhishek Gaire ; Samir Bhandari; Sachin Bista; Dr. M Guru Vimal Kumar
Stock prediction is the process of forecasting future movements in the prices of individual stocks or broader market indices. The task is challenging due to the complex and dynamic nature of financial markets, influenced by various factors such as economic indicators, company performance, geopolitical events, investor sentiment, and more. The stock market is erratic, dynamic, and nonlinear which makes it difficult to estimate stock prices accurately due to a variety of (macro and micro) factors, including politics, the state of the global economy, unforeseen occurrences, a company'
s financial performance, and more. The Bi-LSTM architecture enables the model to effectively learn temporal dependencies within the data. The study offers action- able insights for investors and financial analysts by providing timely predictions and identifying key factors driving stock price movements. Read More...
|
Computer Science and Engineering |
India |
1-6 |
2 |
IoT-Enabled Structural Integrity Monitoring through Vibration Analysis
-Dr.AK.Chitkeshwar ; Aftab Parvez; Faiz Athar; Adiba Abdul Rehman; Ankita Pawar
Vibration-Based Structural Health Monitoring using IoT involves using sensors to detect vibrations in structures, like buildings or bridges. These sensors are connected to the Internet of Things (IoT), allowing real-time data collection and analysis. By monitoring vibrations, we can identify potential structural issues or damages early on. This helps in ensuring the safety and integrity of the structure by allowing timely maintenance or repairs, ultimately extending its lifespan. The techniques range from piezoelectric electromechanical impedance and ultrasonic Lamb wave methods to a class of cutting-edge self- powered sensing systems. We present the principle of the piezoelectric effect and the underlying mechanisms used by the piezoelectric sensing methods to detect the structural response. Read More...
|
Civil Engineering |
India |
7-13 |
3 |
Cutting Down and Leveraging Oil-Infused Cotton Residues
-Sakshi Ramchandra Bankar ; Dr. A. B. Shelar; Mr. R. P. Gaikwad
Oil-soaked cotton waste, a hazardous byproduct prevalent in automobile industries and workshops, poses a significant challenge in terms of disposal. With its classification as incinerable hazardous waste under the Hazardous Waste (Management, Handling, and Transboundary Movement) Rule of 2008, the safe management of this residue is imperative within solid waste protocols. To address this issue effectively, this study proposes the conversion of oil-soaked cotton waste into pellets, utilizing binders and additives to create a viable fuel alternative. This innovative approach not only mitigates environmental risks associated with traditional disposal methods but also promotes sustainable hazardous waste management practices. Read More...
|
Environmental Engineering |
India |
14-15 |
4 |
Motor Fault Detection Using IoT
-Sakshi Hanumant Kachare ; Prof.Rajashree patil; Vaishnavi Sanjay Bhandwalkar; Diya Sandip Chaudhari; Asavari Sanjay Chavan
This document explains how to use internet of things For engine control and monitoring. because it can be used from use of internet of things more conveniently and efficiently anytime, anywhere through WI-FI control the system. The objectives of this monitoring system are: Take precautions to prevent engine failures. Motors are used in various applications, including in industry .Thanks to its many advantages such as Self-starting and high output, construction resistant to the many elements and durable. As a result, using the best possible method detecting defects is very important in smart protection method. Engine at early stage to improve engine efficiency ensure safety and reliability work. motor voltage, current and temperature are controlled remotely using Blynk IOT app. Monitoring results can identify engine operating errors. Parameter that caused serious damage. Information we move from sensors to microcontroller devices. Process the data. When abnormal values are detected the system automatically generates a start or stop control signal of motor. Read More...
|
Electrical Engineering |
India |
16-18 |
5 |
Expense Management System
-Sumit Agrahari ; Shailja Pandey; Anil Kumar Shukla; Vishwa Premi Gupta; Yash Vardhan Singh
This study centers on the deployment of an advanced automated system designed for the seamless management of business expenses, payments, and registrations. Leveraging the powerful MERN stack, the core objectives include the automation of intricate business processes, substantial reduction in data management expenses, and the delivery of precise and insightful management information. The system boasts a dynamic visualization feature, employing real-time charts that adapt instantaneously to transactional activities. These charts vividly depict the distribution of income, providing users with a clear and up-to-the-moment overview of their financial landscape. Within this framework, users can actively engage in tracking and inputting their expenses, detailing sources, amounts, and dates. As transactions unfold, a spectrum of real-time charts is generated to represent the evolving distribution of expenses visually. This multifaceted approach not only enhances financial transparency but also empowers users with valuable, actionable insights for informed decision-making. Read More...
|
Computer Science And Information Technology |
India |
19-21 |
6 |
Durability Assessment of Concrete Structures due to various Chemical attacks
-Mis. Divya Burade ; Mr Badal Harinkhede; Mr Vishal Gajghate
The strength and durability of concrete after casting can vary due to various factors, including physical and chemical damages. Concrete structures reinforced with steel are subject to continuous deterioration due to corrosion caused by long-term exposure to aggressive environments. Structures such as dams, canals, and bridges, which are exposed to water, undergo various types of chemical reactions including carbonation attack, sulphate attack, chloride attack, and alkali-aggregate reaction. These chemical reactions, whether intrinsic or extrinsic, are major contributors to concrete deterioration. This dissertation analyzes chemical expansive reactions in concrete elements, alkali aggregate reactions, and internal sulfuric reactions. During the carbonation process, calcite is a fundamental element identified in the concrete microstructure, often appearing as cracks on the surface of concrete structures. Carbonation occurs when carbon dioxide from the environment reacts with calcium hydroxide to form calcium carbonate. The depth of carbonation, usually described by pH value, directly affects the lifespan of the structure. To address this issue over the years, solutions have been discovered through various experiments conducted on concrete both before and after casting. These solutions include chemical tests to increase CO2 binding capacity and improve CaO value, as well as physical tests such as applying epoxy coatings, among others. After conducting various tests to achieve specific outcomes, durability tests for concrete structures are performed, including pH indicator tests, Universal Testing Machine (UTM) tests, and Compressive Testing Machine (CTM) tests. This project aims to study the chemical reactions occurring in various types of concrete structures and their impact on durability and strength. Read More...
|
Civil Engineering |
India |
22-24 |
7 |
Farmer Merchant Integration
-Shivam Sharma ; Shikha Mishra; Tanya Srivastava; Satyam Dixit; Mr. Atma Prakash Singh
The integration between farmers and merchants constitutes a pivotal aspect of agricultural systems, profoundly impacting production, distribution, and market dynamics. This paper delves into the multifaceted nature of farmer-merchant integration, elucidating its evolving dynamics within contemporary agricultural landscapes. Employing a comprehensive approach, the study investigates the interplay of economic, social, and technological factors that shape this relationship. Through an extensive review of existing literature and empirical analysis, the research identifies key challenges impeding integration, ranging from market asymmetries to trust deficits, alongside opportunities for enhanced collaboration and mutual benefit. Moreover, it sheds light on the implications of farmer-merchant integration for policy formulation and institutional frameworks, emphasizing the imperative of fostering supportive environments conducive to sustainable agricultural development. By delineating the complexities and nuances inherent in this relationship, this study offers valuable insights for stakeholders seeking to optimize farmer-merchant collaboration and bolster the resilience of agricultural systems in an ever-changing global context. Read More...
|
Computer Science and Engineering |
India |
25-29 |
8 |
Marketing Strategies for Packaged Drinking Water in India
-Mrs. Savita k. Khamitkar ; Dr. Ashwini Kshirsagar
The requirement for packaged drinking water is increasing day by day. As a consequence, the competition among the industries producing the same has been increased. Many brands have entered the marketlike Bisleri, Kinley, Acquafina etc. In order to attract the consumers, various brands are using different packing styles and measurement. Scarcities for water and health consciousness have prompted consumption of bottled water in India. The packaged drinking water industry is growing at nearly 15%-18% every year as people spend a large part of their time outside homes and prefer to purchase packages of water in bulk for their domestic use rather than installing water purifiers. Read More...
|
Management studies |
India |
30-31 |
9 |
Social Media Application with Parental Control Using Machine Learning
-Amit BK ; Dr. G. Mariammal; Aashish Lal; Sabbir Ali Ansari
In modern parenting, child safety online is paramount as their lives become more intertwined with digital environments due to rapid technological advancements. So, a parental control application is essential to keep track of the children contemporary era. This paper proposes the development of a cross platform application which is a comprehensive endeavor aimed at creating a digital platform that ensures a safe and secure environment for users, particularly children. The application encompasses various technical components to achieve its objectives. For the frontend development, a combination of HTML (Hyper Text Markup Language), CSS (Cascading Style Sheets), and React.js is utilized, providing an intuitive and user-friendly interface for seamless navigation and interaction. On the backend side, Node.js serves as the foundation, facilitating efficient data processing and serverside logic. To optimize performance and enhance scalability, Redis is employed for caching, enabling quick access to frequently accessed data. Additionally, PostgreSQL (PostgreSQL Structured Query Language) is chosen as the database system, ensuring robust data storage, retrieval, and management capabilities. The parental control module, three key features are implemented to empower parents in monitoring and managing their children's online activities. Firstly, the post moderation feature allows users to evaluate the appropriateness of their content before sharing it on the platform, ensuring that potentially harmful or sensitive material is flagged and handled appropriately. Secondly, parents are granted the ability to create and oversee their children's accounts, giving them control over the content their children can access and the interactions they can engage in. Finally, leveraging machine learning algorithms such as logistic regression and support vector classifiers, the chat detection feature scans and analyzes text-based communication in real-time to identify and mitigate offensive or toxic language. Users found to be violating community guidelines are swiftly and automatically banned, thereby fostering a safer and more welcoming online community for all users. Through these collective efforts, the project endeavors to establish a social media ecosystem that prioritizes user safety and promotes responsible digital citizenship, ultimately fostering a positive and inclusive online experience for users of all ages. Read More...
|
Computer Science and Engineering |
India |
32-40 |
10 |
Plant Disease Detection and Classification with Deep Learning
-Biki Nath Newa ; Rampukar Mandal; Rahul Kumar; Dr. N. K. Senthil Kumar
Deep Learning has gained massive attention in the academia for their trans-formative ability in creating a self- learning AI process in the fields of computer vision, trend prediction and natural-language-processing by utilizing neural networks which have been inspired by observing the workings of the human brain. Developed nations witness a trend shift where populations employed in agriculture drops from 60% to under 25% because of modernization. India is currently observing this trend of reduced agricultural participation from its population, a natural occurrence from when a country moves from a developing to a developed state. According to a report from the Ministry of Agriculture & Farmers Welfare. Since 2001, over 7.7 million farmers have quit farming and have shifted to urban occupations. From the latest consensus data on average, over 2,000 farmers quit the status of “Main Cultivator†every single day in India. This project aims to create a convolutional neural network capable of identifying plant types and the state of the plant i.e. its accompanying affliction if any which may negatively impact its yield, utilizing the recent and effective techniques acknowledged and published in the academia as a mean to assist the inexperienced workforce in an attempt to upend the lack of generational farming knowledge passed down through the centuries between farmers, reduce workforce training time and prevent catastrophic agricultural and financial failures. Utilizing dense net connections, convolution, and pooling; this project has created and trained a neural network model for over 50 epoch cycles until satisfactory to reach over 90% levels of accuracy with validation data. Read More...
|
Computer Science and Engineering |
India |
41-47 |
11 |
Private Line an IMDB YouTube Clone Using MERN
-Adarsh S ; Abhinand P S; Adithya Krishnan U; Albee C John; Dr. Sunil S S
Platforms for sharing content, such as YouTube and IMDb, have completely changed how we find, watch, and distribute multimedia content. But hate speech, spam comments, biased reviews, and content filtering are common issues that these platforms deal with, and they can negatively impact user experience and platform integrity. To tackle these problems, this paper intends to develop a comprehensive platform that mimics YouTube and IMDb's capabilities while adding cutting-edge features to solve these problems. Private Line is a powerful solution for content discovery and moderation that makes use of the MERN (MongoDB, Express.js, React.js, Node.js) stack to provide a secure, welcoming, and interesting environment for users. A number of important features are included in Private Line to improve moderation and content discovery. This paper features hate speech removal which uses natural language processing (NLP) techniques to identify and remove offensive or insulting material from content that users have created. By removing malicious or irrelevant comments, machine learning of discussions. Thanks to sophisticated sentiment analysis algorithms, consumers may now read unbiased evaluations and get unbiased opinions on material. In this paper, certain techniques are used for spam comment identification, which enhances the quality Private Line represents a significant advancement in content sharing platforms, providing a comprehensive solution to common challenges faced by platforms like IMDb and YouTube. Read More...
|
Computer Science and Engineering |
India |
48-51 |
12 |
Review Paper on Different Types of Outrigger Structural System for High-Rise Building
-Raj Jethalal Javiya
High-rise building design and construction require innovative structural systems to guarantee stability and withstand lateral stresses, especially in areas vulnerable to strong winds or seismic activity. With their ability to improve stiffness and decrease lateral displacements, outrigger systems have become an essential structural component in the design of tall buildings. The many outrigger systems used in high-rise buildings are reviewed in-depth and compared in this research. The study looks at several outrigger configurations, such as super column, belt truss, and perimeter outriggers, along with their variants and combinations. A variety of outrigger systems are compared in terms of structural performance parameters, including interstory drift, lateral displacement reduction, and overall building stiffness. Furthermore, the selection of outrigger configurations is influenced by various aspects such as building shape, height, location, and seismicity. The benefits and drawbacks of each outrigger system are clarified through a comparative analysis of case studies and mathematical models. Aspects like material utilization, architectural consequences, and building complexity are also discussed. To maximize system performance, the impact of outrigger geometry and placement on structural behaviour is also studied. The evaluation highlights how crucial it is to choose an outrigger system that is suitable for the project and site conditions. The study's conclusions can help developers, architects, and structural engineers develop and place outrigger systems for high-rise structures more effectively, which would enhance urban environments' overall safety, occupant comfort, and structural performance. Read More...
|
Structural Engineering |
India |
52-59 |
13 |
Fault Detection System in Electrical Motors Using IoT
-Omkar Sonawane ; Dr. Mahadev Unde; Vaibhav londhe ; Ketki Chavan; Shweta Patil
The integration of Internet of Things (IoT) technology in fault detection systems for electrical motors has gained significant attention due to its potential to improve reliability, reduce downtime, and enhance maintenance practices. This paper provides a comprehensive review of fault detection systems in electrical motors using IoT. Furthermore, the paper discusses the future scope of IoT-based fault detection systems, including advancements in sensor technology, integration with cloud computing and artificial intelligence, and the development of standardized protocols for data communication and analysis.[1] These developments are expected to further enhance the performance and reliability of fault detection systems in electrical motors. In conclusion, the adoption of IoT technology in fault detection systems for electrical motors represents a promising approach to improving the reliability and efficiency of industrial processes. Continued research and development in this area are essential to harness the full potential of IoT for fault detection and maintenance in electrical systems. [2] Read More...
|
Electrical Engineering |
India |
60-63 |
14 |
Liver Disease Detection and Classification Using Liver Data
-Dr. Rashmi Nair ; Krupesh Mehta; Prajwal Bopalkar; Purvesh Kotecha ; Jyoti Singh
Over the past decade, there has been a noticeable improvement in precision for disease. Classification through various machine learning methods. This advancement has been advantageous in revealing patterns and relationships in medical data, which has facilitated the creation of predictive models. The primary objective of this research paper is to present a concise review of the existing literature, comparing findings in the field of liver disease detection and prognosis. It centers on the utilization of liver function test data to identify the most influential factors for recognizing diseases. The primary aim is to effectively manage liver diseases. The study's outcomes demonstrate that the RBF, CMAC, AD Tree, and PSO-LS-SVM algorithms have considerably enhanced the accuracy of liver disease recognition and prognostication. Additionally, the paper explores prior research on liver function test data and its connection to predicting diabetes. Read More...
|
Computer Science and Engineering |
India |
64-68 |
15 |
Physical and Mechanical Properties of High-Density Concrete Incorporating Barite (BaSO4) as Coarse aggregate & Recycled Glass Powder as a Partial Replacement to Fine Aggregate
-Kamini A. Parmar ; A. Samim Naimi
High-Density concrete (HDC) is commonly used for radiation shielding of nuclear reactors/power plants and other structures like counter weights, coating of off-shore pipelines, medical facilities, and industrial facilities where radioactive materials are used or stored. High-Density concrete is designed by using heavyweight aggregates such as hematite, barite, magnetite and so on. Integral part of this study is replacing the normal coarse aggregate by heavyweight aggregate (Barite), and using recycled glass powder (RGP) as a partial replacement to fine aggregate (natural river sand) from 0% to 60% by volume of fine aggregate (FA) at 20% intervals. Five series of concrete mixes with a total number of 80 specimens (cubes and cylinders) of the same compressive strength of 30 MPa (M30 grade) are produced, casted, and tested as per the requirements of Engineering Standard codes. For all the casted concrete specimens, the density, compressive strength, splitting tensile strength, and workability are being tested, determined, and analysed at the curing ages of 7 & 28 days. This comprehensive investigation aims to provide valuable insights into the relationship between barite coarse aggregate and density as well as the compressive and split tensile strength of HDC, and the effects of RGP on physical and mechanical properties of HDC. The findings from this research will contribute to a deeper understanding of the optimization of HDC mix designs, enabling the development of more resilient and durable concrete structures in various applications. From this experimental study, it is observed that the use of barite coarse aggregate instead of normal aggregate in concrete leads to a significant increase in density and workability of HDC as well as its compressive and split tensile strengths. Similarly, the use of RGP as a partial replacement to fine aggregate up to a certain limit, causes a significant increase in compressive and split tensile strengths of HDC. Read More...
|
Structural Engineering |
India |
69-76 |
16 |
Crime Prediction Using ML Algorithm
-Sreelekshmi S J ; Abin Manuel; Jeffin M Thomas; Nisha Mohan P M
Crime Sight aims, improve crime reporting enhance transparency, and assist law enforcement the app enables police to verify suspects and maintain a comprehensive criminal record database. The app predicts crime type that may happen on the given location and similar crimes based on suspect age and location. Providing valuable insights for investigations on what kind of crimes are most likely to happen on the location specified. Read More...
|
Computer Science and Engineering |
India |
77-78 |
17 |
A Review on Braced-Tube Structural System for Tall Building
-Bambhania Gaurav Jagdishbhai ; Major Dr. C.S. Sanghvi; Prof. Ashwin G. Hansora
This research explores the utilization and applicability of braced tube structures as a viable structural form for tall buildings in India. India, known for its seismic activity and burgeoning urban development, presents a unique set of challenges and opportunities in the realm of tall building construction. With rapidly growing urbanization and the need for sustainable and efficient tall structures, choosing an appropriate structural system is crucial. Braced-tube structural systems, emerging in the 20th century, have become an anchor in the construction of tall buildings, offering exceptional effectiveness in supporting lateral loads as well as gravitational loads. This study highlights the advantages of Braced-tube Structure in terms of Storey Displacement, Drift Ratio, Inter-storey drift, Storey Shear, Base Shear, and cost-effectiveness. Through a comprehensive analysis of the structural and economic aspects, this research aims to offer valuable insights to architects, engineers, and stakeholders involved in tall building projects. By weighing the advantages of braced tube structures against conventional construction methods, this study contributes to informed decision-making and sustainable urban development practices. Read More...
|
Structural Engineering |
India |
79-87 |
18 |
LPG Gas Leakage Detection And Protection By Using Exhaust Fan
-Ajay O. Mishra ; Pradeep M Pandey; Vaishnavi D Rewatkar; Sakshi P Khiraiyya; Prof Dipak B. Bhongade
LPG is a significant and effective energy, for the utmost part employed as a part of private spots for cuisine. LPG for the utmost part filled in cylinder which is solid and cannot be harmed painlessly. In any case, breaks may be from gas cylinder, regulator and gas pipe tube when these are surely not in a decent condition and may beget a mishap. Mischances may prompt medical problems like suffocation and potentially beget an impact on the launch of any fire or electric force. One of the important preventative styles to stop mischance related with the gas spillage is to introduce gas leakage sensor at vulnerable places. The main focus of this paper is to present such an figure that can accordingly identify and remove gas spillage in helpless demesne. The gas slip detector is such a contrivance which distinguishes the gas tumbles at beginning situations and cautions the individualities of the same. This paper unnaturally manages the advancement of a straightforward gas slip locator at the beginning stage and after that changing this introductory contrivance into a most progressive gas identifier frame latterly on. Gas detectors have been specifically employed which has high affectability for propane (C3H8) and butane (C4H10). Gas leakage system consists of GSM (Worldwide System for protean communication) module, which sends SMS as soon as gas leakage is detected. Read More...
|
Electronics and Telecommunication Engineering |
India |
88-90 |
19 |
A Review on Bundled-Tube as Structural System in Tall Buildings
-Farzan Loveji Khambhatta ; Major Dr. C.S. Sanghvi; Prof. Chintan D. Patel
The demand of tall buildings has increased over the past one or two decades. Reasons behind the sudden demand is the popularity of tall buildings, tourism, economy of the country, infrastructure boost, science and technological knowledge, etc. Another reason for increase in tall buildings is the availability of land and population emigration of rural to urban. The main issues of tall buildings are shear-lag effect with increase in height, aerodynamic wind effects, seismic hazard, public hesitation. Due to increased shear-lag in tubular tall buildings with increased height, there is a shift in the structural system to more advanced systems like diagrid, buttressed core, outrigger, Mega-tube, etc. In India still some of the buildings are constructed with shear-wall frame system or central core wall system are used. For this purpose, the review paper focuses on the tubed-type system that could possibly replace the traditional shear-wall system for tall buildings in India. Various key issues have been identified in the papers and are mentioned in the review for the tubed type system. The review on the topic creates a sea of opportunities for Indian construction industry, which have been heavily relied on shear-wall type system for buildings. The very thick shear walls (of the order of 450mm to 600mm), length of the order 1.5 to 2m, concrete grade of M40 to M70 becomes uneconomical after certain height of the structure. Emphasis should be to create stable structures with not just focus on material and thickness of members, but also the structural system. Read More...
|
Structural Engineering |
India |
91-99 |
20 |
Brain Stroke Prediction in Healthcare Using Machine Learning
-Kabi Upadhayay ; Dhananjay Koiri; Mukesh Kumar Singh; Dr. N. K. Senthil Kumar
This paper presents a machine learning approach for predicting the risk of brain stroke in healthcare using the Random Forest algorithm. With the increasing prevalence of stroke cases worldwide, early detection and prevention are crucial. Leveraging a dataset comprising various demographic, clinical, and lifestyle factors, we employ Random Forest to develop a predictive model. The algorithm demonstrates its efficacy in identifying key risk factors associated with strokes, enabling healthcare practitioners to make informed decisions regarding patient care and intervention strategies. Through extensive experimentation and evaluation, our model achieves notable accuracy and robustness, outperforming traditional methods. Furthermore, the interpretability of Random Forest facilitates understanding the underlying mechanisms contributing to stroke susceptibility, aiding in the development of personalized preventive measures. This research contributes to advancing stroke prediction methodologies, fostering proactive healthcare interventions, and ultimately enhancing patient outcomes and quality of life. Read More...
|
Computer Science and Engineering |
India |
100-104 |
21 |
Comparative Study on Movie Ticketing Booking System
-Siddhant Shukla ; Paras Malakar; Narayan Barman; Amit Nichat
The goal of this project is to create an effective and user-friendly mobile movie ticketing application. The application will utilize contemporary technology to optimize the movie ticket buying and management process, providing users with a smooth and delightful user experience. Among the app's primary features are: Movie Listings and ShowTime's: The application will present a thorough schedule of all the movies that are now running, complete with storyline synopses, cast bios, and show times in the surrounding theatres. Seat Selection and Booking: Through interactive seating charts, users can easily choose their ideal seats and finish the booking process, which includes choices for add-ons and seat upgrades. Payment Integration: Multiple payment methods will be supported by integrated secure payment gateways, ensuring seamless and hassle-free transactions for the convenience of users. Booking Management: To provide flexibility and user control, users may monitor and modify their bookings within the app, including rescheduling or cancelling tickets. Notifications and Reminders: To make sure users never miss their favourite movies, the app will promptly notify users and remind them of forthcoming movie show times. Feedback and Ratings: In order to enhance decision making, users may rate and comment on the movies they see. Read More...
|
Master Of Computer Applications |
India |
105-109 |
22 |
Performance Study for Alternative Arrangement of Steel and RCC Outrigger Structural System in Tall Structures
-Dhaval R. Trivedi ; K.A. Parmar
In modern tall building design, reduce the impact of lateral loads is crucial for structural stability and occupant safety. [1] Among the various structural systems employed for this purpose, the outrigger system stands out as an effective solution. The behavior of 45 story structure for lateral loads is analyzed with Core wall, 3 RCC and Steel Outrigger systems by placing them at different story levels alternatively using ETABS software. The behavior of these outrigger configurations under seismic loads. The parameters such as displacements, inter-story drifts and bending moments in a structure with a core wall and outriggers are plotted and compared with a structure containing only a core wall. The combination of RCC and steel outriggers may provide optimal results compared to using RCC or steel outriggers individually. By integrating outriggers during the design phase, engineers can enhance building stability and seismic resilience. Read More...
|
Structural Engineering |
India |
110-113 |
23 |
Intelligent Video Surveillance System for Bank
-Mansi Parshuram Waghmare ; Muskan Chauhan; Mayuri Tondare; Dr.Nitin Janwe
The integration of intelligent video surveillance systems has become imperative for enhancing security protocols in various sectors, including banking institutions. In our project, we present a novel approach to intelligent video surveillance tailored for bank environments. Our system employs facial recognition technology to identify individuals entering the bank premises, subsequently cross-referencing their facial data with an authorized customer database. Upon detection, the system swiftly determines the authorization status of the individual. Authorized customers are granted seamless access, while unauthorized individuals are permitted limited entry. Furthermore, our system incorporates a threshold mechanism to monitor the frequency of unauthorized entries. Should the threshold be exceeded, an alert is triggered to prompt necessary intervention. By integrating these functionalities, our intelligent video surveillance system offers enhanced security measures and operational efficiency within bank premises. This research project focuses on the implementation of intelligent video surveillance systems in bank environments. Our system utilizes facial recognition technology to identify individuals entering the bank premises and cross-references their facial data with an authorized customer database. Authorized customers are granted unrestricted access, while unauthorized individuals are allowed limited entry. A threshold mechanism monitors unauthorized entries, triggering alerts upon exceeding predefined limits. This approach enhances security measures and operational efficiency within banking institutions. Read More...
|
Computer Science |
India |
114-118 |
24 |
A Review of Different Types of Analysis and Design of High Mast Structure
-Aniket Dilipbhai Gohil ; Deepak R. Tarachandani
The examination and plan of poles and towers require extraordinary information and involvement, particularly concerning guyed poles. The numerous collapses underline the extraordinary issues related to these structures over a long time. The premise of the plan for such antenna-supporting structures is in some cases numerous and frequently commonly conflicting, and the general basic format may have an emotional impact on the stacking of the structure. The examination and plan of tall pole structures include a few steps such as location determination, establishment plan, tower plan, and lighting plan. The tower plan includes selecting the fitting materials for the tower, deciding the tallness of the tower, and planning the cross-section of the tower to resist the loads. The loads are primarily meteorological from wind and ice and a combination of these, and the energetic nature of the wind must be taken into consideration as poles and towers are more or less delicate to energetic loads. This paper gives a brief presentation of the issues related to the design, as well as a few common cases are specified. The tasteful components are becoming increasingly imperative for antenna-supporting structures and are moreover specified. Read More...
|
Structure Engineering |
India |
119-124 |
25 |
Intelligent Medication Management System
-Mrs. Amruta S. Mali ; Ms. Sakshi Khandu Ghadge; Ms. Aditi Sachin Adat; Mr. Sarang Vikas Karande
This People of all ages who are taking medication for illnesses, cosmetic purposes, or who need to take supplements because of faults are a familiar sight in today's generation. But because of their busy schedules, people frequently forget to take their medications. This is particularly true for the elderly, who are more likely to forget things as they get older. Therefore, a smart medicine box can be employed for this. The suggested smart medicine box will feature a knob that the patient or guardian may use to set the time. The drawers will also open and an alert will sound through a buzzer at the appointed time. The Medicine Box with GSM Module and Fingerprint Sensor (SMB-GFS) is an innovative solution designed to enhance medication management by integrating advanced technologies. This system addresses the challenges associated with medication adherence, security, and remote monitoring, particularly for individuals with complex medication regimens or those requiring close supervision. The key components of the SMB-GFS include a secure storage unit for medications, a GSM module for remote communication, and a fingerprint sensor for user authentication. Upon storing medications in the box, users authenticate themselves via fingerprint recognition, ensuring only authorized individuals can access the contents. This feature enhances security and prevents unauthorized access or tampering. Read More...
|
Electronics and Telecommunication Engineering |
India |
125-127 |
26 |
Revolutionizing Aerial Exploration: Toroidal Drones with Eco-Friendly 3D-Printed Plastic Waste Frames for a Sustainable Future
-Hemant Mishra ; Prof. Navya Holla K.; Mansi; Pachipala Harinee; M. Gopichand
This research paper explores the concept of toroidal drones, a new type of aerial vehicle with a unique donut-shaped structure. The drones offer stability and versatility, with potential applications in surveillance, search and rescue, and environmental monitoring. The paper presents a sustainable approach by constructing the drone frame entirely from 3D-printed plastic waste, reducing environmental impact. The toroidal drones' energy-efficient trajectory planning and adaptability in different operational environments are also explored. The paper also demonstrates real-world feasibility through the development and control of a toroidal unmanned aerial vehicle (UAV). The research highlights the potential of toroidal drones as a game-changer in aerial exploration and the integration of 3D-printed plastic waste frames as a step towards a more sustainable future. This research contributes to environmental preservation and revolutionizes drone technology for the betterment of society and the planet. Read More...
|
Electronics & Communication Engineering |
India |
128-131 |
27 |
Review on the Performance of Parallel Counter Flow Heat Exchanger Using Different Arrangements of Baffle-Plates
-Vaghela Dhaval G. ; Dr.Harshit Bhavsar; Mr. Rakesh Prajapati; Mr.Manish Patel
To figure out the more efficient and higher heat transfer in heat exchanger. To identify the baffle plate arrangements in different angles and position in parallel counter flow heat exchanger. To design baffle in different angle and position. In parallel counter flow heat exchanger and the analyse heat exchanger thermal design of different arrangements of baffle in shell and tube. After the analysis of heat transfer change angle of baffle plates to the testing maximum efficiency of heat transfer. If angle of baffle plate arrangement. It's heat transfer increasing and decreasing this results the high and less heat transfer co-efficient. Similarly by different arrangement and testing baffle plate efficiency will increase. Thus for performance of baffle arrangement in heat exchanger to best efficiency finds. Read More...
|
Thermal Engineering |
India |
132-137 |
28 |
IOT Based Greenhouse Monitoring And Controlling System
-Vaibhav Godase ; Yogesh Jadhav; Kakade Vishal; Virendra Metkari; Prof. Siddheshwar Gangonda
This paper's primary goal is to use a temperature sensor to monitor temperature, humidity, and soil moisture content. humidity sensor and soil moisture sensor respectively. The IOT system comprising of sensors, nodes, gateways and cloud systems gives the right analyzed information to the farmer or to the user about the irrigation. For effective resource use, the Internet of Things, Wireless Sensor Networks, Physical Cyber Systems with Actuators, and Cloud Computing Systems have been applied in a number of agricultural industries. Here in this paper, we implement and experiment for different crops in various climatic or weather conditions that analyze plant growth and provide access to information that can be collected at regular intervals and with less human intervention. Agriculture is the source of employment for a large number of people in India and has a greater impact on the economy of this country. In this study the system senses the temperature, humidity around the crops and soil moisture content in that particular soil for that particular crop and automatically switches the pump to on/off with respect to data collected and analyzed. The pump begins irrigating the crops to the level required by them when the soil becomes dry or low in moisture. Our goal is to consume less water and electricity so that other resources may be used more effectively and provide farmers with the highest possible output. Read More...
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Electrical and Electronics Engineering |
India |
138-140 |
29 |
Pipeline Survey Robot
-Vaibhav Godase ; Akash Lawande; Kishor Mane; Kunal Davad; Prof. Siddheshwar Gangonda
In order to maintain the effectiveness and safety of fluid transportation systems, pipeline inspection is a crucial component of infrastructure maintenance. The capacity of autonomous robots to explore complex situations without human assistance has made them a promising tool for pipeline surveys in recent years. The technology and approaches currently in use for the creation of autonomous pipeline inspection robots are thoroughly reviewed in this paper. The review covers a range of topics, such as data processing methods, navigation tactics, and sensing technologies applied to pipeline survey robots. The responsibilities of sensor technology, including cameras and inertial measurement units (IMUs), in mapping pipeline environments and identifying flaws are highlighted. Path planning algorithms and obstacle avoidance strategies are investigated as navigation methodologies, revealing potential solutions and obstacles in dynamic pipeline environments. Read More...
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Electrical and Electronics Engineering |
India |
141-144 |
30 |
Arduino Based Wireless LED Matrix
-Gopal L. Mankar ; Shilpa M Raut ; Asmita S. Mankar; Chandani R. Suryawanshi
In today's fast-paced, information-driven world, digital display technology has become a necessity. The LED Matrix Display stands out as a versatile solution, capable of showcasing programmed information with engaging graphic designs. Beyond mere advertising, it finds utility as a dynamic scoreboard and stopwatch for a wide range of indoor and outdoor sports and games. The Bluetooth application software integrated with Arduino microcontrollers used for this project. The development process involved utilizing MTT App Inventor software to craft Android applications, along with the DS3231RTC for transmitting real-time information to the LED display. This comprehensive approach enables real-time customization of messages displayed on the matrix, enhancing user interactivity. The project's primary objective is to create a user-friendly phone application for controlling the display, enabling seamless message swapping without the need for physical connections. This innovation addresses common issues such as static displays and limited customization options. The Wireless LED Dot Matrix display achieved excellent reliability and minimal maintenance requirements, thanks to its Bluetooth-enabled flexibility in displaying text, time, date, and scoreboard information. By harnessing Bluetooth technology, this project offers a unique and efficient solution for digital display needs, ensuring dynamic and customizable content delivery without cumbersome cable connections. Read More...
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Electronics and Telecommunication Engineering |
India |
145-148 |
31 |
Exploring the Effects of Incorporating Distillery Spent Wash in Concrete: A Parametric Review
-Daksh A Chauhan ; Prof. Deepak R. Tarachandani
This study investigates the feasibility of incorporating distillery effluent spent wash as a substitute for water in concrete manufacturing, aiming to determine the ideal replacement ratio while preserving concrete integrity. Controlled experiments were conducted to evaluate the workability, compressive strength, and durability of concrete mixes containing varying proportions of distillery effluent spent wash. Workability assessments focused on placement and compaction ease, while compressive strength tests provided insights into load-bearing capabilities. Durability analyses examined resistance to deteriorative factors. The research findings aim to pinpoint replacement percentages that optimize sustainability without compromising concrete properties. By repurposing industrial by-products, this study aligns with waste-to-resource strategies, contributing to sustainable construction practices. The establishment of optimal replacement ratios and practical application ranges facilitates environmentally conscious concrete production. The insights garnered from this study offer valuable guidance for greener construction practices, ultimately reducing environmental impact and promoting sustainable development. Read More...
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Structural Engineering |
India |
149-153 |
32 |
Smart Visitor Counting System: Efficient Energy Management
-Achal R. Thakre ; Snehal G. Gadpayle ; Chandani R. Suryawanshi
This paper introduces a Bidirectional Visitor Counter system coupled with automatic control for lights and fans. The system is designed to monitor the number of people entering or exiting a room and display this count on an LCD screen. It also regulates the operation of lights, fans, and other electrical devices based on human presence, light levels, and room temperature. The system employs an IR sensing mechanism to detect visitor entry and exit, and a microcontroller manages the counting process. When someone enters the room, the counter increments by one, and it decrements by one when someone leaves. Additionally, the LCD screen shows the total number of people inside the room at any given time through this setup, the microcontroller effectively tracks entries and exits, ensuring efficient energy use and providing real-time visitor count information on the LCD display. Read More...
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Electronics and Telecommunication Engineering |
India |
154-157 |
33 |
Improved AODV for Load Balancing Using ABC (Artificial Bee Colony) Algorithm in MANET
-Moni Rani
Because of the growing demand for applications and the necessity for reliable data transmission, load balancing has become a significant focus of research within the field of mobile ad hoc networks (MANETs). As we know that MANET is formed by number of mobile nodes and each node communicate with each other using bandwidth. In MANET, batteries are carried by each node with limited power, which in turn limits the applications given by the MANET. Ensuring a balanced distribution of traffic among mobile hosts is imperative in MANETs to mitigate several limitations. Without this balance, nodes experiencing heavy loads can lead to congestion, prolonged delays, and increased energy consumption, thereby escalating network costs. Completing tasks becomes challenging when nodes with limited processing capabilities bear a disproportionate load and lack the necessary resources for load distribution. The variability in computing or processing power across systems contributes to this load imbalance. Consequently, scenarios may arise where certain nodes remain idle while others are overwhelmed. Nodes with higher processing power tend to complete tasks quickly, often resulting in minimal or no load. Thus, the presence of idle under-loaded nodes highlights the undesirability of overloaded node there is lot of routing approaches developed for load balancing in mobile ad hoc networks. In the proposed work, ad hoc on –demand distance vector routing (AODV) protocol is used. This protocol functions reactively, minimizing broadcast volume by establishing routes based on demand, a feature not found in DSDV. The adjacent nodes in turn broadcast the particular packet to their area neighbour's and also the process proceeds until the packet extend to the particular destination spot. The performance of AODV is improved by using AODV in combination with ABC algorithm. ABC is an optimization technique that is used to improve the performance on the basis of population-based search procedure. After applying these two approaches, the performance parameters of the MANET like Throughput, delay, energy consumption and Bit error rate are determined. Read More...
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Computer Science and Engineering |
India |
158-163 |
34 |
Comparative Analysis of Diagrid Structures of Varying Diagrid Angles with Open and Closed Section Shear Walls
-Jadav Rahul Natubhai ; A.G. Hansora
Diagrid structural systems are becoming increasingly popular in high-rise buildings due to their superior lateral load resistance and aesthetic appeal. However, the optimum angle of a diagrid in structure is critical to building's performance under different loading condition. This research aims to find the optimum angle for a diagrid structure that minimizes lateral displacement, story-drift, base shear and overturning moment, while considering both open and closed section shear walls at the core. Analysis was done using ETABS software, considering loads as per Indian Standards. In addition, this research involves comparative analysis of frame-shear wall structural system and diagrid structural system in terms of lateral displacement, story drift, base shear, overturing moment and material cost of superstructure. Read More...
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Structural Engineering |
India |
164-171 |
35 |
Self Driving Car Using GPS Module
-Rahul Vijaykumar Kulkarni ; Prakash; Vishal Rathod; Varun Sarasmbi; Dr. Sridhar K
This Paper focuses on developing a prototype of “Self driving car using gps module†it uses gps module (neo-6mv2).the integration of gps module enables the system to accurately determine its current co-ordinates which help the user to calibrate to a destination to be provided in the interface this project is also integrated with a digital compass (hmc 5811)which will provide the current heading of the car this project provide the capability to user to enter the destination co-ordinate once the co-ordinates are entered the microcontroller will calculate the error-heading(destination heading-current heading)once it is done the microcontroller is connected with servo motors which will drive the car to the destination. Read More...
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Electronics & Communication Engineering |
India |
172-175 |
36 |
Supervised Teachable Machine
-Lalit Padma Kartik Saridevi ; Ayush Sachin Walekar; Bhavik Prakash Bafna; Ninad Pravin Deshmukh; Prof. Priya Khune
Our system is designed to make developers easy in creating their own models through a systematic process. Firstly, it focuses on data pre-processing, a crucial step that lays the foundation for model performance. By meticulously cleaning, transforming, and organizing data, developers can ensure the highest quality input for their models. The main innovation comes with the ability to experiment with a diverse range of models. This platform gives a selection of cutting-edge algorithms, each with its own unique strengths. Developers can very easily switch between these models, adjusting parameters on the fly to fine-tune their performance. This dynamic model experimentation allows developers to maintain a detailed record of which models excel under specific conditions. Through extensive tracking, they can identify patterns and insights that guide them towards the most effective models for their specific tasks. This process of iterative optimization enables developers to craft models that not only meet but exceed their expectations, ultimately enhancing the efficiency and efficacy of their data-driven applications. Read More...
|
Computer Science |
India |
176-178 |
37 |
AI Driven Healthcare : Integrative Disease Prediction and Drug Recommendation
-Mohammed Javad A A ; Aadithia Sharath Karun; Abhinav Krishnan; Faras A; Nimisha Abraham
The integration of advanced language models (LLMs) into healthcare systems has revolutionised disease pre- diction and drug recommendation methodologies. This project explores the application of LLMs in predicting diseases and recommending suitable drugs, thereby enhancing patient care and treatment outcomes. Through extensive research and experimentation, this study develops a robust framework that leverages the capabilities of LLMs to analyse patient data, medical literature, and drug databases. The proposed model utilises state-of-the-art natural language processing techniques to extract valuable insights from diverse sources, including electronic health records, clinical notes, and biomedical literature. By harnessing the power of deep learning algorithms, our system can accurately predict the onset of various diseases based on individual patient profiles and medical histories. Furthermore, the model employs advanced recommendation algorithms to suggest personalised drug therapies tailored to each patient's unique condition, genetic makeup, and treatment preferences. The project aims to bridge the gap between data-driven insights and clinical decision-making, empowering healthcare providers with timely and actionable information to improve patient care. Through rigorous evaluation and validation, we demonstrate the efficacy and reliability of our approach in predicting diseases and recommending effective drug interventions. Overall, this research contributes to the advancement of predictive analytics in healthcare and lays the foundation for future innovations in personalised medicine. Read More...
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Computer Science and Engineering |
India |
179-183 |
38 |
Customer Segmentation Using Machine Learning
-Ansh Beniwal ; Shalini Verma; Shivam Pandey; Yugal Chaudhary; Suryansh Singh
Customer segmentation is a pivotal strategy in marketing and sales, enabling businesses to tailor their approaches to different customer groups. However, traditional segmentation methods often face challenges in effectively discerning meaningful customer segments due to their simplistic nature and reliance on manual processes. ML offers a promising avenue to overcome these challenges by leveraging algorithms to automatically identify patterns and group customers based on their attributes and behaviors. The paper begins by elucidating the importance of customer segmentation in driving marketing strategies and enhancing customer experiences. It then provides a comprehensive review of traditional segmentation methods, highlighting their limitations and inefficiencies. Subsequently, the paper delves into the application of ML techniques, particularly K-means clustering, as a robust alternative for customer segmentation. Through a detailed exploration of K-means clustering and its underlying principles, the paper demonstrates how this algorithm can effectively segment customers into homogeneous groups based on similarity metrics. To illustrate the practical implementation of K-means clustering in customer segmentation, a case study is presented. This case study showcases the application of K-means clustering to a real-world dataset, emphasizing the process of feature selection, data pre-processing, model training, and evaluation. The results obtained from the case study are analyzed to assess the effectiveness of K-means clustering in delineating distinct customer segments and extracting actionable insights for marketing strategies. Read More...
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Computer Science and Engineering |
India |
184-186 |
39 |
Comparative study of G+7 & G+14 Storey Residential Precast Building having One-way Precast Slab with Cast-In-Situ Two-way Slab
-Gulammustufa Pathan ; Prof. P. J. Mehta
Precast construction is a transformative approach in the construction industry which offers benefits such as faster construction, quality control, cost efficiency, sustainability, reduced weather dependency, and lower maintenance requirements. This study aims to analyze structural behavior & performance of a Precast G+7 & G+14 story residential building having one-way precast slab panels and compare it to a conventional frame structural system having two-way cast-in-situ slab under different loading conditions. The analysis focuses on evaluating response to lateral force parameters, such as lateral displacement, story drift and base shear, in the context of seismic forces. The Modelling will be conducted in software considering Indian standard building codes and factors such as seismic zones, soil conditions and more. Additionally, the study seeks to understand the impact of shear walls in both precast and conventional framed structures when subjected to lateral forces. Results will provide help to select appropriate system from the studied models and optimal solutions. Read More...
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Structural Engineering |
India |
187-191 |
40 |
Comparative Analysis of RC Structures with Different Aspect Ratios Subjected to Dynamic Wind Loading with P - △ Effect
-Bilal Sheikh ; Dr J N Vyas
Wind is a observable natural gesture of air comparative to earth surface, especially in the form of air current gusting in a specific direction. Wind load is caused by difference in pressure. In these modern days, most of the structures are involved with architectural importance and it is highly impossible to plan the building with the aspect ratio of 1, which is responsible for structural collapse of buildings under the action of dynamic loads. Hence, in this work, a detailed study on the behaviour of aspect ratios for high rise building with and without the influence of P-△ effect has been carried out using E-TABS software package. In order to study the behaviour, G+40 RC Structure Building has been modelled in E-TABS and was analyzed by static analysis (Cp-coefficient method) as well as by dynamic analysis (Gust factor method) to study the effect of along wind and across wind response on the structural models, and also in order to observe with and without effects of P△ on high rise building, P△ analysis was done for both static and dynamic analysis. Typical results of variation of Displacement, Storey drift, Time period and Base shear have been included. Read More...
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Structural Engineering |
India |
192-200 |
41 |
Design and Assessment of a Grid-Connected Photovoltaic System for Dr. Hilla Limann Technical University: Economic and Environmental Analysis
-Abdul Mumin Halidu ; Salifu Issaka; Agnes Galyuoni; Joshua Apigagua Akanbasiam
This study aimed at designing and assessing a solar PV system for Dr. Hilla Liman Technical University to be connected to the grid. RETScreen Software was employed for the simulation over the guaranteed life of the system. Technical, Economic, and Environmental analysis were conducted on the Grid-connected solar PV system. The initial results of the study suggest that the design will be socially beneficial to the university community. It generated a yearly energy yield of about 162055.491 MWh. The predicted high energy yield confirms the high possibility of utilizing solar energy at Dr. Hilla Liman Technical University. Implementation of the proposed project is economically viable since it produced a positive NPV and also a BCR greater than 1. The designed PV system is also capable of saving up to 60059 tonnes of CO2, equivalent to 139672 barrels of crude oil given out by a thermal power station generating an equal amount of electricity which indicates a great environmental impact for the better world. The proposed work can be exploited by decision-makers in the solar energy area to design and analyse other institutional solar photovoltaic systems. Read More...
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Solar Energy |
Ghana |
201-209 |
42 |
Energy Harvesting from Moving Vehicles on Highways
-Shreeharsh Girish Nadgouda ; Harshal Suresh Borase ; Sanika Vijay Patil ; Anjali Vijay Bhosale
Various technologies have been developed to harness energy sources present on roadways, such as electromagnetism, and photovoltaic modules. The focus on developing and implementing sustainable renewable energy systems is increasing due to the high emissions resulting from the use of natural fossil fuels. Wind turbines are commonly utilized to convert wind energy into electricity, with potential for harvesting wind energy generated by traffic along highways. This study analyses the aerodynamic impact of traffic on highways to estimate the energy generation potential through computational fluid dynamics (CFD) analysis.[1] The feasibility of using this energy to power highway lighting systems is also explored. The paper reviews existing technologies for energy harvesting from roadways, categorizing them based on transduction methods and system architecture. Commercial systems available for energy scavenging from roadways are also surveyed, with comparative analyses provided to identify promising solutions for developing self-sustainable smart roads in the future. As and when the vehicles pass on the road a trail of wind is generated. With the help of VAWT energy is generated from this trail of wind and stored in the battery. [2] Read More...
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Electrical Engineering |
India |
210-212 |
43 |
Comparative Analysis of Framed Tube Structure Using Concrete Filled Steel Tube (CFST) Column with Conventional System
-Urvish Aervadiya ; Major Dr. C. S. Sanghvi; C. D. Patel
A framed tube structure is a construction concept commonly used in tall buildings, integrating both architectural and engineering principles. This design incorporates interconnected columns that create a frame encircling the building perimeter. In the framed tube structure, Composite Columns, specifically Concrete Filled Steel Tube (CFST), replace conventional columns. CFST sections are created by filling hollow steel tube sections with concrete. Utilizing this structural system in tall buildings offers various benefits, including enhanced lateral stiffness, reduced material usage, and improved fire resistance. Analysis of CFST column framed tube systems will be carried by the ETABS software for their performance under lateral forces including seismic and wind loads. The study encompasses various parameter such as lateral displacement, story drift, Base Shear, Time Period and base reaction, aiming to provide a comprehensive understanding of CFST column with framed tube structural system. Read More...
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Structural Engineering |
India |
213-218 |
44 |
Role of Banking Sector for the Upliftment of Women Entrepreneurs in TVM Dist.
-Rakhi Saratni KS ; Dr. S Ramola Ponmalar
The emergence of women entrepreneurs and women-owned firms and their significant contributions to the economy is visible in India. These businesses are ready for continued growth in future. The new generation of women-owned enterprises is actively seeking capital for their businesses, using modern technology to find and create a niche in both the domestic and export markets. This study was focused on the role of the banking sector for the upliftment of women entrepreneurs in the Thiruvananthapuram district. Access to finance has been a key challenge for women entrepreneurs in Kerala. Due to the Covid-19 pandemic, shortages of funds are considered one of the biggest challenges for women entrepreneurs. The major objective was to determine the different schemes introduced by the Government of Kerala and the Central government through the banking sector for the upliftment of women entrepreneurs. Banks offer several schemes to support women entrepreneurs in the country to expand and improve their business. The major source of information was collected from secondary data and peripheral information was collected by interviewing the employees of banks in the Thiruvananthapuram district. Read More...
|
Commerce |
India |
219-222 |
45 |
Parental Control App
-Yugal Rajaram Patil ; Liladhar Kuwar; Dhiraj Chaudhari; Pukhraj Satve; Likheshkumar Borde
The era dominated by digital connectivity, ensuring the safety and well-being of children in the online space has become a paramount concern for parents. The Parental Control App presented in this project serves as a comprehensive solution to address these concerns. With features encompassing SMS monitoring, call logs tracking, location monitoring, screen time management, application usage monitoring, key logs, and an emergency SOS system, the application empowers parents to actively participate in their child's digital journey. Read More...
|
Computer Science And Technology |
India |
223-225 |
46 |
Comparative Analysis of RC Structures with Different Aspect Ratios Subjected to Dynamic Wind Loading with P - △ Effect- A Review
-Bilal Sheikh ; Dr J N Vyas
Wind is a observable natural gesture of air comparative to earth surface, especially in the form of air current gusting in a specific direction. Wind load is caused by difference in pressure. In these modern days, most of the structures are involved with architectural importance and it is highly impossible to plan the building with the aspect ratio of 1, which is responsible for structural collapse of buildings under the action of dynamic loads. Hence, in this work, a detailed study on the behaviour of aspect ratios for high rise building with and without the influence of P-△ effect has been carried out using E-TABS software package. This review study helps to identify the behaviour of tall structure under wind effect statically and dynamically with the effect of P delta. The previous work helps to identify the problems related to such tall building and gives an idea to overcome such effects to make the structure more stable. Read More...
|
Structural Engineering |
India |
226-232 |
47 |
Deep Learning-Based Detection, Classification, And Segmentation of Brain Tumours from MRI Images
-S Krishnaveni ; Yadla Vijaya Lakshmi
The growth of abnormal cells in the brain is termed Brain tumor which is a serious problem because it leads to cause cancer. The usual methods to detect brain tumors are Magnetic Resonance Imaging(MRI) scans, Positron Emission Tomography (PET) scans, Diffusion Tensor Imaging (DTI) and Computed Tomography (CT) scans. Brain tumor segmentation from MRI scans is critical in clinical diagnosis and treatment planning. Accurate delineation of tumor regions aids in assessing disease progression and guiding therapeutic interventions. However, manual segmentation is time-consuming and prone to inter-observer variability. Hence, there is a growing interest in developing automated segmentation methods using deep learning techniques. Our methodology relies solely on CNNs for brain tumor segmentation. We begin by assembling a diverse dataset containing MRI images with various tumor characteristics. The used dataset is split into training and testing sets. We design a CNN architecture suitable for the task of tumour Classification, incorporating convolutional, pooling integrated with Relu and softmax as activation functions. The CNN is trained on the training set using stochastic gradient descent with backpropagation to balance the weight. The trained CNN is evaluated on the validation set, and hyperparameters are fine-tuned accordingly by using TensorFlow, NumPy, ipywidgets, sklearn Keras etc, in “Python†as it is an efficient programming language to perform fast work. Finally, we assess the performance of the CNN on the independent training and testing in the first training the Accuracy is 90.6% with 100 epochs and second training the accuracy is 99.4% with 400 epochs. this model is better than the state of the result obtained so far. This CNN-based model will help doctors detect brain tumours in MRI images accurately so that the speed of treatment will increase a lot. Read More...
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Computer Science And Engineering |
India |
233-237 |
48 |
Dry Handwashing Machine by Fog Disinfection to Save Water
-Shivabasayya ; Parvez; Sharanabasava; Abhishek; Prof.Veena Saraf
This project presents a revolutionary dry handwashing machine that utilizes fog disinfection and piezoelectric humidification to save water while maintaining effective hand hygiene. The machine uses a piezoelectric humidifier to generate a consistent and controlled fog output, which is then disinfected using a fog disinfection system. This innovative technology reduces water consumption by up to 90% compared to traditional handwashing methods, making it an ideal solution for water-scarce regions and environmentally conscious organizations. The machine is user-friendly, easy to maintain, and can be installed in various settings, including public spaces, healthcare facilities, and educational institutions. With its cutting-edge technology and eco-friendly design, this dry handwashing machine has the potential to transform the way we practice hand hygiene, promoting a healthier and more sustainable future for generations to come. Read More...
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Electronics & Communication Engineering |
India |
238-243 |
49 |
Behaviour of Ferrocement Panels with Waste Glass Powder as Cement Replacement Material
-Shaikh Mahamad Amin Abdulmajid ; Prof. Bansal R. Patel
This research investigates the behaviour of ferrocement panels incorporating waste glass powder as a partial replacement for conventional cement. The study aims to evaluate the mechanical properties, durability, and environmental impact of these innovative composite panels. The experimental program involves the fabrication of ferrocement panels with varying proportions of waste glass powder as a cement replacement material. The utilization of waste glass powder not only addresses environmental concerns associated with glass disposal but also offers an innovative solution for enhancing the performance of ferrocement structures. This study bridges the gap between waste management and sustainable construction practices, presenting a promising avenue for the development of eco-friendly building materials. Read More...
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Structural Engineering |
India |
244-250 |
50 |
Production Of Biodiesel from Water Hyacinth by Using Extraction Process and Transesterification
-Amit Singh ; Vishal Yadav; Vishava Pratap Sharma; Bhanu Pratap Yadav; Maneesh Singh
A major source of energy for our society is the burning of fossil fuels such as coal petroleum and natural gas. These sources are in limited amounts, so scientist and researcher continuous looking for another energy source. They find many renewable resources like biofuel, biodiesel and many others. Biodiesel is a renewable clean burning fuel derived from biological sources. Biodiesel are derived from different vegetables oil, animal fats and algae. Water hyacinth represent a promising source for biodiesel production because of its high availability and high biomass yield. Water hyacinth biodiesel (WHB) is obtained by water hyacinth petioles. By using Soxhlet extraction and transesterification process water hyacinth biodiesel is produced. Read More...
|
Mechanical Engineering |
India |
251-256 |