No. |
Title and Author |
Area |
Country |
Page |
1 |
Cellular Tracker: QR Code Scanner with GPS and LTE Capabilities
-Vansh Sethi ; Dhanesh Tolia; Sayaboina Jagadeeshwar; Kolliboina Samba
The Cellular Tracker signifies an advancement in embedded systems used within industrial settings for supply chain management. It integrates three fundamental technologies—QR Code Decoding, Global Positioning System (GPS), and Cellular Network capabilities—into a unified system. Traditional devices often face cost and reliance challenges, especially concerning GPS and cellular functionalities. In this system, a scanned QR code promptly links with current GPS coordinates and transmits data via an LTE module to a remote cloud. This transmitted data provides real-time supply chain status on a web platform, ensuring operational transparency. In scenarios with poor network connectivity, data is stored locally and sent once connectivity is restored. The device enters a low-power mode after a defined period of inactivity. This integration, termed the Cellular Tracker—a QR Code Scanner with GPS and LTE capabilities—represents a practical, cost-effective, and energy-efficient solution compared to previous approaches in this domain. Read More...
|
Electrical and Electronics Engineering |
India |
1-5 |
2 |
A Hybrid Deep Neural Networks for Sensor Based Human Activity
-Ms.Jyoti B.Chougule ; Mr.A.V.Shaha
Since use of digital camera in daily life increases, more content of video are uploaded and created to the web in the form of large video data format. Act recognition could be a demanded and popular area for research thanks to its potential application in video retrieval, interaction in human-computer and medical. In healthcare, wellbeing, and in the sports monitoring system, it is important to recognize activities performed by the any human body. The recording of the performed activities by human are very important, for acknowledge of wellbeing, identifying training activities for athletes, or knowledge about the activity being carried out by a patient for analysis of pathologies. Action recognition is important and challenging statistic classification task. The main application of human action Recognition varies from Human-Computer Interaction, Content- based video reporting Human fall detection, Visual Surveillance, medium Intelligence, and Video labelling etc. Many researchers have opened human action recognition and each one proposed different solution to clear the issues related this. Generally, they used vision sensors, inertial sensors or combination of them. Machine learning and threshold learning are often used. Deep learning methods are being introduced for better performance and better accuracy. DL is considered as a modern method, for solving human action recognition problems regarding gesture recognition and action recognition. The main application of human action Recognition varies from Human-Computer Interaction, Content- based video reporting Human fall detection, Visual Surveillance, medium Intelligence, and Video labelling etc. Read More...
|
Electronics Engineering |
India |
6-9 |
3 |
Optimizing 5G Communication Through Hew Radix FFT-Powered P-OFDM for Reduced BER
-Deepanshu Shukla ; Prof. Dr. Ravi Mohan; Prof. Divyanshu Rao
Orthogonal Frequency Division Multiplexing (OFDM) is a hopeful technique for attaining high data rates in mobile environment because of its multicarrier modulation. As the sub carriers are orthogonal in OFDM, the spectrum of each carrier has a null at the center frequency of each of the other carriers in the system. But in time varying channel the orthogonally between subcarriers are distorted due to Doppler Spread (DS) which introduces the Inter Carrier Interference (ICI) that diminishes the system performance. To enhance the OFDM system performance over time varying channels, an ICI self-cancellation scheme with hew radix FFT at receiver is implemented. The OFDM pruning at the receiver side using hew FFT is suggest for ICI reduction techniques in the thesis work. The work is implemented using MATLAB. Simulation and the outcome is measure in terms of BER and Twiddle factor count. Read More...
|
Electronics & Communication Engineering |
India |
10-14 |
4 |
Influence Of Different Alkali on Dyeing of Cotton with Homo-Bifunction Reactive Dyes
-Devang Pravinbhai Panchal ; Tanushree Ashutosh Pathak; Deepur Kaushik; Shahi K. Garg; Karan J. Darji
The study's goals are to ascertain how various alkalis affect cellulosic material and the dyeing process that result. In the presence of different fixing agents, the material was colored using homo-bifunctional reactive dye (high exhaust reactive dye). Sodium carbonate is one of the common alkalis; a comparison with potassium hydroxide and sodium silicate is being conducted. To optimize the dyeing parameters, the conventional recipe's alkali concentration was also adjusted and decreased. The color strength of the dyed cellulose samples was examined in order to ascertain how the various alkalis affected the dyeing procedure. Bright and deep hues are produced by bi-functional reactive dyes because they tend to be highly soluble and have good leveling capabilities. Effluent load and expense were decreased by lowering the alkali concentration, which also produced outstanding shades, equal leveling, and fastness attributes comparable to the conventional recipe. Read More...
|
Textile Processing |
India |
15-18 |
5 |
Quantification of Agile Security Issues
-Uma Gupta Garg ; Ashish Nigam; Faizan Khan; Prashant Panday
The agile software requirements engineering methods allow for rapid responses to reflect any changes that may occur in the software requirements of the client. There are, however, difficulties that are connected with agile requirements engineering methods, which make it more difficult to design software in a way that is both quick and sustainable. Patchy, diverse, and inclusive research is being conducted to address the difficulties and the solutions that are now available. In this investigation, we make use of a systematic literature review in conjunction with thematic classification and gap mapping analysis in order to investigate existing solutions against challenges. Specifically, we investigate the typologies and classifications of challenges that are encountered in agile software development in general and specifically in requirements engineering, as well as the techniques that are utilized to address these challenges. The results, which are statistically significant, suggest that the utilization of the reading approach has a favorable impact (with a very big effect size) on the performance of inspectors with regard to the effectiveness of security measures. Using controlled experiment trials, we evaluate the effectiveness of our strategy. In this study, we compare the security of novice inspectors who evaluate security elements in agile requirements by utilizing our reading technique to the security of using the whole list of high-level security requirements. The purpose of this article is to present our methodology for analyzing the security-related aspects of agile requirements specifications for web applications. This technique takes into consideration the requirements that have been established and seeks to solve security concerns throughout the early phases of the agile software development lifecycle. Read More...
|
Computer Applications |
India |
19-25 |
6 |
Performance Evaluation of Bituminous Concrete by using CRMB Rubber and Low-Density Polyethylene
-Ambaram Pancholi ; Jitendra Chauhan
Promoting recycling cost reduction in road building, and environmental mitigation. The investigation explores substituting bitumen with varying ratios of crumb rubber and HDPE, supplemented with coir for robust tensile properties, aiming at improving Stability & Semi-Dense Bituminous Concrete. Additionally, the study delves into the need for alternative aggregates in road construction due to the depletion of natural resources, proposing the use of china clay waste as a partial replacement for fine aggregate in semi-dense bituminous concrete. The research evaluates the cost-effectiveness of modified asphalt using LDPE, HDPE & CR, concluding CR modified HMA as the most economical. The study also explores the feasibility of using waste PET for green asphalt and evaluates the performance of modifiers in highway construction, emphasizing sustainable practices and solid waste disposal. Read More...
|
Civil Engineering |
India |
26-30 |
7 |
Dyeing & Printing of Nylon Fabric with Natural Dyes Vis-A-Vis Expanding the Shade Range for Fashion Industry
-Devang Pravinbhai Panchal ; Bharat Patel; Divy Bhavsar; Bhavisha Kanjaria; Roshni Berawat
In this era of sustainable processing and increasing awareness in people about the environment, the use of natural dyes may be the safe alternative of synthetic dyes. For the successful commercial viability of natural dyes it must have wide range of shades as well as applicability to synthetic fibers and their blends. This work is an attempt to study the applicability of selected natural dyes to popular synthetic fiber, nylon. Three natural dyes namely, madder, promognate peel and indigo were applied to nylon fabric using padding technique. Another aim of the work is to expand shades range as natural dyes are always criticized for their availability of bright colours and range of shades. In this work with the use of natural and metallic mordents verity of shades were produced on nylon fabric. The coloured nylon fabric was evaluated in terms of their colour strength value and colour fastness properties using standard techniques of evaluation. Read More...
|
Textile Processing |
India |
31-36 |
8 |
Multi-Machine Stability Assessment in Power System Using SVC
-Deepali Choukikar ; Prof. Sachin Verma
The evolution of power systems via integrated behaviour, innovative-technologies implementation and controls, and stressed operating conditions, results in numerous instability issues. For example, frequency as well as voltage instability, and interred oscillations etc., are few reasons for concern. Also, when talking about transmission system faults can cause sever power quality issues. Faults generates voltage instability and con completely damage the devices connected. Seeing to the severity of instability in power system, numerous devices are been foresighted in literature to retain the stability under dynamic operating conditions. In this paper for a high voltage transmission system, SVC is presented to retain the system stability under the condition of single phase fault. Stability analysis of the system is presented for with and without SVC connected. Read More...
|
M.Tech EE(Power System) |
India |
37-43 |
9 |
Application of SVC in Power System Sability Assessment : A Review
-Deepali Choukikar ; Prof. Sachin Verma
Power system is a very vulnerable entity. It comprises of numerous complex structure and devices. For the proper stable operation of the system, it is very important that system must operates in synchronism after any mishappening events like faults. This paper presents the importance of power system stability and the devices which helps in maintaining it. A brief overview on Static Var Compensator (SVC) with its circuit topology, system configurations and components with its voltage and current waveforms is presented. The performance analysis and its effectiveness in maintaining PSS is overviewed with brief literature survey. Read More...
|
M.Tech EE(Power System) |
India |
44-47 |
10 |
Review Paper on Traditional Food Hub
-Bikesh Kumar ; Hrishika Sah; Gaurav Raj; Er. Babita Sharma
People want to keep their traditional and cultural heritage alive. Keeping this in mind this review paper will try to give an insightful view of authentic and traditional food recipes from all over the country. The proposed website will suggest traditional food recipes from over the 28 States and 8 union Territories of India. Users will be able to get an idea of a three course meal including the Beverage. This website is reliable and easy to handle for every user. Our project is using HTML, CSS and JavaScript for the frontal structure and framework. Read More...
|
Computer Science |
India |
48-51 |
11 |
AI Driven Personalized Learning Plan
-Rajnish Patel ; Ayush Rag; Rishab Raj; Laxmi Verma; Riyansh Garg
In recent years, the field of Artificial Intelligence (AI) and Machine Learning (ML) has gained momentum in various educational settings. This research paper explores the potential of AI-driven personalized learning plans (PLPs) in the domain of special education. With the aim of addressing the unique learning needs of students with disabilities, this study investigates the benefits and challenges of implementing AI-powered systems to develop personalized learning plans tailored specifically to each student's strengths and weaknesses. The research highlights the importance of individualization and personalization in special education, emphasizing how AI-ML technologies can be leveraged to support learners with diverse abilities. By analyzing and interpreting vast amounts of data collected from students' interactions with educational materials and tools, AI algorithms can generate valuable insights to inform the development of personalized learning plans. These plans can encompass a range of strategies, instructional resources, and adaptations designed to optimize learning outcomes for each student. Furthermore, this paper identifies key considerations and ethical implications associated with the use of AI-driven PLPs in special education. It addresses concerns related to data privacy, algorithmic bias, and the need for human intervention in decision-making processes. By acknowledging these challenges and exploring potential solutions, educators and researchers can ensure the responsible and effective implementation of AI technologies in the context of special education. Read More...
|
Computer Science |
India |
52-56 |
12 |
A Review on TIG/MIG Welding Process: Recent Advances and Future directions
-Yogita Sangwan ; Sonu Singhal; Kedar Narayan Bairwa; Sumit Sharma
Manufacturers are concentrating on connecting different materials to cut production costs and create lightweight components. When their structural components are comprised of different steels, steel constructions are lighter and more cost-effective. The chemical, petrochemical, nuclear, and power generation industries, among others, utilise a range of dissimilar steel couplings. When components are welded together, different junctions are inevitable. Typically, joining dissimilar steels is more difficult than joining similar steels; this is due to several factors, such as differences in chemical composition and thermal expansion coefficients. In this comprehensive review article, we undertake a thorough examination of the research and advancements in the realms of Tungsten Inert Gas (TIG) and Metal Inert Gas (MIG) welding, with a specific focus on their applications across diverse materials. The critical analysis encompasses various perspectives, providing a holistic view of the progress made in these welding techniques. Gas tungsten arc welding is explored as a means to assess the weldability of high-strength alloys, offering insights into its efficacy and potential applications within this specialized domain. The review delves into crucial process parameters associated with both TIG and MIG welding, elucidating their intricate effects on weld quality. By scrutinizing the mechanical properties of welded joints, including factors such as tensile strength, hardness, and other significant structural attributes, a comprehensive evaluation of the welding outcomes is presented. The primary objective of this article is to serve as a comprehensive resource for understanding TIG/MIG welding technology and its profound impact on enhancing the microstructural, mechanical, and metallurgical properties of engineering materials. By synthesizing information from diverse perspectives, this review aims to contribute to the collective knowledge in the field, providing valuable insights for researchers, practitioners, and enthusiasts seeking a deeper understanding of the evolving landscape of welding technology and its transformative effects on engineering materials. Read More...
|
Production Engg. |
India |
57-62 |
13 |
Predicting Cloud Workloads based on Data Optimization Gradient Descent with Momentum (GDM) Approach
-Shashank Rimza ; Dr. Dinesh Jain
Cloud Computing has revolutionized computing off late with several domains and applications resorting to the cloud architecture. However effective task scheduling and load balancing is critical for cloud based servers. This is typically a very challenging task keeping in mind the fact that cloud workload is a parameter that depends on several other parameters. Moreover, due to the enormity of the data and its complexity, the use of machine learning or artificial intelligence based techniques is important for cloud workload estimation. Forecasting future workloads with high accuracy is especially challenging due to the randomness of the cloud workloads and also the non-deterministic nature of the governing or affecting parameters. Hence, due to the size and complexity of the data involved, finding regular patterns is a challenging task at hand. The present work proposes a back propagation based deep neural network architecture for cloud workload forecasting. The experiment uses the NASA cloud data set. The performance evaluation parameters have been chosen as mean absolute percentage error (MAPE) and regression. It has been found that the proposed system attains lesser mean absolute percentage error compared to previously existing technique [1]. Read More...
|
Computer Science And Engineering |
India |
63-67 |