No. |
Title and Author |
Area |
Country |
Page |
1 |
Experimental Investigation on Performance and Emission Characteristics of a Diesel Engine Run on Biomass Derived Fuel Blends
-Renu Kamal ; Chaitanya Shrivastava
Concerns about health risks from harmful emissions, rising fuel prices, and fuel depletion have all been linked to the use of fossil fuels in internal combustion engines. A variety of organic materials, including plants, algae, and biowaste, are used to make biodiesels. In order to support industrial aspects in India, the current work proposes to study the engine behavior of a single cylinder DI diesel engine using bio-fuel made from Jatropha oil and waste derived fuel. The combustion, performance, and emission characteristics of a four-stroke, air-cooled, single-cylinder, direct-injection diesel engine operating with the three emulsions were assessed through experiments. The experiments' outcomes were contrasted with diesel operation. According to the test results, KME-WPO emulsions exhibit high peak cylinder pressures and a reduced ignition delay. Higher exhaust gas temperatures and reduced specific energy consumption are characteristics of the KME and KME-WPO emulsions. The findings also show that, when compared to diesel fuel at full load, the nitric oxide emissions from KME and WPO5, WPO10, and WPO15 emulsions are approximately 16%, 10.8%, 2.2%, and 0.5% higher, respectively. Read More...
|
Thermal Engineering |
India |
1-5 |
2 |
Behavioral Study of R.C. Structures Using Hybrid Outrigger System Under Seismic Loads - A Literature Review
-Abdul Sohail Khan ; Dr J N Vyas
The prompt expansions of materials, construction technologies and structural systems have given upsurge to a substantial increase of skyscrapers over the previous decades. The reduction of the top drifts and base core overturning moments under lateral loads, such as earthquakes and wind loads, has drawn accumulative care in the structural design of tall buildings. When building height increases, the structure should have a lateral load resisting systems other than shear walls for evading the effect of lateral loads, since the shear walls when used alone are appropriate only up to 20 storied building. To overawed this encounter, the outrigger system has developed as a substitute solution, providing adequate lateral stiffness beyond the competencies of shear walls and bracing systems. Outrigger systems are one such protruding system and are deliberated to be the most prevalent and effectual because they are at ease to build and afford better lateral stiffness. The principle of using an outrigger system to develop the structural lateral stiffness and overall stability by connecting core tube and external columns through rigid horizontal cantilevers. Contingent on the connectivity between the core and the exterior columns, the outrigger system can be divided into virtual outrigger system and conventional outrigger system. The hybrid outrigger system has one conventional outrigger and one virtual outrigger at two distinct floor levels. Optimal locations for installations of outrigger systems can be originated. A concept of Virtual Outrigger is reviewed and evaluated in this study. Prominence is given to employing the Hybrid Outriggers instead of Conventional ones. Overall displacements and lateral drift can be reduced by conventional outrigger system for such heights. Read More...
|
Structural Engineering |
India |
6-10 |
3 |
Behavioral Study of R.C. Structures Using Hybrid Outrigger System Under Seismic Loads
-Abdul Sohail Khan ; Dr J N Vyas
The prompt expansions of materials, construction technologies and structural systems have given upsurge to a substantial increase of skyscrapers over the previous decades. The reduction of the top drifts and base core overturning moments under lateral loads, such as earthquakes and wind loads, has drawn accumulative care in the structural design of tall buildings. When building height increases, the structure should have a lateral load resisting systems other than shear walls for evading the effect of lateral loads, since the shear walls when used alone are appropriate only up to 20 storied building. To overawed this encounter, the outrigger system has developed as a substitute solution, providing adequate lateral stiffness beyond the competencies of shear walls and bracing systems. Outrigger systems are one such protruding system and are deliberated to be the most prevalent and effectual because they are at ease to build and afford better lateral stiffness. The principle of using an outrigger system to develop the structural lateral stiffness and overall stability by connecting core tube and external columns through rigid horizontal cantilevers. Contingent on the connectivity between the core and the exterior columns, the outrigger system can be divided into virtual outrigger system and conventional outrigger system. The hybrid outrigger system has one conventional outrigger and one virtual outrigger at two distinct floor levels. Optimal locations for installations of outrigger systems can be originated. A concept of Virtual Outrigger is reviewed and evaluated in this study. Prominence is given to employing the Hybrid Outriggers instead of Conventional ones. Overall displacements and lateral drift can be reduced by conventional outrigger system for such heights. Outrigger systems enrich the stiffness of high-rise buildings by the introduction of rigid outriggers at different locations. The loads deliberated are as per IS codes. An ETABS model of buildings with varying heights are considered for this study. Read More...
|
Structural Engineering |
India |
11-16 |
4 |
Treatment of Domestic Waste Water By Using Unified Bipolar Electrode System
-Saniya Z Kaladgi ; Dr.Chetan Marol; Nida Habiba Chattarki ; Saheba Nadaf; Laxmi Nayak
The treatment of domestic wastewater is critical for safeguarding environmental resources and public health. This study explores the use of a Unified Bipolar Electrode System (UBES), an advanced electrochemical method, for the efficient treatment of domestic wastewater. Domestic wastewater, rich in organic matter, nutrients, pathogens, and suspended solids, poses significant challenges for conventional treatment systems, which often involve high costs, complex operations, and environmental impacts. The UBES operates by applying an electric current through bipolar electrodes, typically made of aluminium or iron, to generate coagulants in situ. These coagulants effectively aggregate and remove pollutants such as suspended solids, organic matter, and heavy metals through electrocoagulation. Read More...
|
Civil Engineering |
India |
16-19 |
5 |
Digital Data and Cybersecurity Protection
-Dr. Pramila Kori ; Neelam Nagar Patel; Kiran Vanpure; V. Rohit; Rakesh Tanwar
Digital data and cybersecurity have become critical components of modern society, with the pervasive digitization of information and the increasing interconnectedness of digital systems. This research paper thoroughly examines the intricate relationship between digital data and cybersecurity, encompassing an analysis of current trends, emerging threats, technological advancements, and best practices for mitigating cyber risks and safeguarding digital assets. By synthesizing insights from scholarly research, industry reports, case studies, and practical experiences, this paper offers valuable perspectives on the evolving landscape of digital data and cybersecurity, highlighting the imperative for proactive measures to address the multifaceted challenges posed by cyber threats in an interconnected world. Read More...
|
Computer Science And Information Technology |
India |
20-23 |
6 |
Design and Analysis of Stress in Mixed Flow Impeller Blade Using Ansys
-Aakash Shankar Rai ; Ghanshyam Satnami
A static analysis of two different blades which are of trapezoidal shape and inlet inclined has been done in ANSYS software in order to find the stress distribution on different material. The materials that have been chosen for the study are titanium, stainless steel, Copper and bronze because they are widely used in area of fluid machinery. Then a comparison of von-Mises stress distribution for all the four materials has been done. To perform this work, ANSYS static structure analysis was used. The blade model was designed in ANSYS workbench. In this study one end of blade was fixed and force has been applied on the surface of blade, the see was used as boundary condition. The stress was measured at different value of forces and results are obtained. It has been observed that trapezoidal blade of stainless steel subjected to maximum stress and inlet inclined blade of stainless steel subjected to minimum stress. This work was further proceeding to find out the deformation in both cases of blade for all these four materials and then compared the results obtained from the analysis. It has been found that trapezoidal stainless-steel blade was subjected to maximum deformation. Read More...
|
Adavanced Manufacturing Systems |
India |
24-31 |
7 |
Enhanced Ripple Suppression in Coupled-Inductor Single-Input Dual-Output DC-DC Converter Systems
-Shishir Kumar ; Dr. Silki Baghla
This research explores enhanced ripple suppression techniques in Coupled-Inductor Single-Input Dual-Output (CI-SIDO) DC-DC converters, a critical component in power electronics for applications like renewable energy, electric vehicles, and industrial systems. Ripple minimization is essential to improve efficiency, reliability, and system performance. The study introduces an innovative gate pulse shifting strategy to synchronize or desynchronize switching cycles, optimizing current and voltage waveforms and minimizing ripple in both input and output stages. Through a combination of theoretical modeling, MATLAB/Simulink simulations, and experimental validations, the research systematically analyzes the impact of gate pulse angles on performance parameters, including inductor current ripple and output voltage stability. A unified approach for ripple minimization is developed, incorporating sector-based duty ratio optimization and coupled inductor design, which balances flux and minimizes core losses. Experimental results confirm the effectiveness of the proposed methods, achieving up to 92% ripple reduction and expanding the Continuous Conduction Mode (CCM) range. Trade-offs such as increased control complexity and potential cross-regulation are addressed with practical design recommendations. This work advances CI-SIDO converter design by providing a scalable, efficient framework for ripple suppression, with implications for high-demand power electronic systems. Read More...
|
Electronics & Communication Engineering |
India |
32-35 |
8 |
Advanced Graphene-Based Devices for Enhanced Bio-Sensing: Theoretical Insights and Experimental Developments
-Keshav Kumar ; Veena Rani
Graphene, a groundbreaking two-dimensional nanomaterial, has garnered significant attention in biosensor technology due to its exceptional electrical, mechanical, and chemical properties. This paper explores the theoretical and experimental development of graphene-based devices for advanced biosensing applications. Density Functional Theory (DFT) investigated the interactions between pristine, doped, and functionalized graphene and various biomarkers, providing critical insights into electronic structures, adsorption energies, and charge transfer kinetics. These findings informed the design of high-performance biosensors with enhanced sensitivity and specificity. Experimentally, graphene derivatives such as graphene oxide and functionalized graphene were synthesized and optimized for incorporation into electrochemical and chemo-resistive sensor platforms. These sensors demonstrated remarkable performance, including ultralow detection limits, high specificity, and robust stability across diverse applications, from environmental monitoring to healthcare diagnostics. Detection of heavy metals, glutathione, and lactate showcased their versatility. The study addresses key challenges in biosensor technology, such as scalability, reproducibility, and environmental adaptability, bridging the gap between computational modeling and real-world applications. Future advancements are proposed, including integration with artificial intelligence for real-time data analysis and multiplex sensing capabilities. This work positions graphene as a pivotal material for next-generation biosensors with transformative implications for global health and sustainability. Read More...
|
Electronics & Communication Engineering |
India |
36-40 |
9 |
Experimental Studies on The Using of Plastic Waste for Dense Bituminous MACADAM
-Megha Sahu
In India, most roads are constructed with flexible sidewalks, but the performance of the sidewalk depends largely on the quality and type of material used. The disposal of waste materials, including plastic water bottles, has become a serious problem and is not completely burned. That proves it is also harmful to the environment. In this study, plastic beg was used as a waste plastic material. In plastic waste chemical compositions like polyethylene, polystyrene, poly-propolyen, etc., melt at temperatures of 120 °C to 160 °C. The water bottles are made from HDPE plastic waste. In the given research, the use of plastic waste as a partial replacement of stone dust for different percentages. The plastic waste is cut and cleaned into a size that is passed through a 2.3 mm sieve. In the study, some tests were performed to check the physical properties of unmodified bitumen VG30 and natural aggregate to acknowledge their strength and which can be used in the design of the DBM mix. After performing the physical test, they prepared some mold at different percentages of 4%, 4.5%, 5%, and %.5.5% for the Marshall Stability test by Digital Marshall Apparatus. After obtaining the results of Marshall Properties, they found that the optimum content was 4.5%. After seeing the OPC, we took some percentages of plastic waste as 5%, 7%, 9%, and 12% replacement of stone dust and prepared the mold for testing. After testing the prepared mold, the results concluded that using plastic waste in pavement construction is better than preparing normal pavement. The plastic waste provided some more strength and liquefaction to the pavement surface. When the plastic was heated with aggregate and binders, it melted and created a bond with the aggregate and binders Due to the load applied on the surface, it will not crack easily and provided smooth surfaces for vehicles. This mixed design can also help green technologies provide a good surface at a low cost in rural and semi-urban areas. Read More...
|
Transportation Engineering |
India |
41-48 |
10 |
Optimal use of AI in FAshion Industry
-Zulaika Asif ; Dr. V. Narayana Swamy
The integration of Artificial Intelligence (AI) into the fashion industry has catalyzed transformative changes in design, production, marketing, and consumer experience. On the positive side, AI enhances efficiency, enabling brands to streamline production processes, predict trends, and personalize shopping experiences at an unprecedented scale. AI-driven algorithms can analyze vast amounts of data to forecast consumer preferences, helping companies design products that resonate with targeted audiences. Additionally, automation in manufacturing and supply chain management reduces operational costs and minimizes waste, supporting sustainable practices. On the other hand, the application of AI in fashion raises concerns related to creativity and ethical implications. While AI can optimize designs, it lacks the human touch and emotional depth that often characterizes truly innovative fashion. Furthermore, the increasing reliance on AI may lead to job displacement in traditional sectors, and the use of personal data for targeted marketing raises privacy and security issues. In this paper, we examine both the advantages and challenges of AI in the fashion industry, emphasizing the need for a balanced approach to its integration, where technological advancement is aligned with ethical and creative considerations. Read More...
|
Fashion & Textile Technology |
India |
49-52 |
11 |
Visual Surveillance Child Missing Alert On Face Based Real World Existence System
-V. T. Kruthika ; Gunji Venu; Paruchuri Manidhar; Sourav Sarkar
In this wide world, identifying a missing child is a challenging problem. Usually, police and CBI write a note on the child's face to catch him if he goes missing or is abducted in a public place. However, due to memory impairment among the general public, it is difficult to get him to remember his face. So, even if they see the child, they do not inform the police and the police consider it a tragedy to catch a child in a public place. In our proposed scheme, automatic identification of children is performed using face recognition from video surveillance. The field of artificial intelligence plays a key role here, identifying the child himself through video surveillance and alerting the police based on the recorded face image. The identification process is carried out through Gaussian feature point extraction, where the facial features of the child are extracted and trained. Based on the trained feature patterns, a recurrent neural network (RNN) is used to classify the child's face among multiple extracted face patterns. If spotted, an email alert is sent to the police using a photo system. Read More...
|
Information Technology |
India |
53-55 |
12 |
Trackmyphone: Integrated Image Capture And Location Tracking
-Shravani Mohan Deshmukh ; Rutuja Sachin Adke; Rachana S. Patil; Chaitrali Sachin Dusane; Mayuri Ramdas Shinde
This paper explores the intersection of mobile security and image processing, examining how these technologies enhance user protection and data integrity on mobile devices. It elaborates on the integration of advanced image processing techniques in enhancing mobile application security, focusing on methods like biometric authentication, real-time anomaly detection, and automated intruder identification. The paper also identifies challenges such as resource limitations and offline functionality, proposing innovative solutions to overcome these issues. Through a detailed analysis of current research, case studies, and emerging trends, this paper highlights the transformative potential of image processing in addressing the growing security threats faced by mobile users. By providing both theoretical insights and practical implementations, it aims to contribute to the development of robust, user-centric mobile security systems. Read More...
|
Computer Engineering |
India |
56-58 |
13 |
Effect of Dyebath Ph on Colour Characterization of Silk Fabric Dyed with Natural Dyes Using Cold-Pad-Batch Dyeing Technique
-Devang Pravinbhai Panchal ; Mr. Priyank K. Patel; Dr. B. H. Patel
Silk is considered as Queen of textile fiber owing to its smooth and lustrous appearance. Traditionally it can be dyed with synthetic as well as natural dyes to impart a variety of colours. In recent years finding of researches conducted shown that chemicals used in synthetic dyes may contain toxic elements. These dyes may cause an environmental problem as well as adversely affect the health of living beings. To overcome the adverse effect of synthetic dyes researchers all over the world have been focused on substitute preparation of synthetic dyes. Dyes of natural origin are environment-friendly in nature and have no side effects on the skin. Natural colorants are often criticized for limitations in the available colour range. The present study deals with the application of two natural dye extracts from Madder and Kamala by a Cold–pad-batch technique of dyeing. The effect of different auxiliaries on the dyeing has also been investigated by selecting two mordents applied by the meta-mordanting technique. Commercially available natural dyes have been applied with four different formulations to produce a variety of shades. Shades of pink to dark red have been produced using Madder and Shades of Cream to dull yellow have been produced by Kamala as a natural dye. The dyeing characterization of silk dyed with Madder and Kamala using the Cold-Pad-Batch technique has been done in terms of colour strength value (K/S) as well as the overall colour fastness properties. The samples dyed with energy-efficient Cold-Pad-Batch technique give different shades on silk fabric using natural dyes. The different formulations of dye liquor result in a change in shades of dyed fabric with satisfactory light, wash, and rubbing fastness properties. Read More...
|
Textile Processing |
India |
59-62 |
14 |
From Inspiration to Execution: How Fashion Designers Create Iconic Look
-Zulaika Asif ; Dr. V. Narayana Swamy
Fashion design represents a lively blend of creativity, culture, and craftsmanship, converting abstract ideas into concrete, iconic styles. This journey, from the initial inspiration to the final realization, involves a process where designers merge their personal vision, societal influences, and technical abilities. The progression from concept to runway frequently starts with the amalgamation of inspiration—whether drawn from art, history, nature, or contemporary trends. Designers then interpret these concepts into fabric, color, shape, and silhouette, utilizing patterns, construction techniques, and innovative methods to bring their vision to life. Working together with skilled artisans, pattern makers, and technicians further enhances the design. Iconic fashion styles arise through a balance of uniqueness, functionality, and cultural relevance, signifying a designer's distinctive mark on the fashion scene. This paper examines how fashion designers maneuver through the convergence of imagination and precision to craft styles that define trends and create enduring impressions in the fashion sector. Read More...
|
Fashion & Textile Technology |
India |
63-64 |
15 |
Movie Recommendation System
-Suresh B ; Amith Jain P; Uday B; Akash P; Mrs. Manjusha N. Mahamune
This project presents a comprehensive movie recommendation and information retrieval system built using Flask, DeepFace, and the TMDB API. The goal is to create an interactive platform that offers movie enthusiasts a personalized and immersive movie-watching experience. The system allows users to explore trending movies and TV series, search for movies by name, and receive genre-based recommendations. These features are powered by the TMDB API, which provides access to detailed movie information such as cast, director, screenplay, reviews, and trailers. One of the key highlights of this project is its integration with DeepFace, a facial emotion recognition tool. By analyzing the user's facial expression, the system provides emotion-based movie recommendations, matching specific emotions with genres. This personalization allows for a more engaging user experience, as users receive suggestions tailored to their current mood. In addition to emotion-based recommendations, the system supports scene-based movie searches. Users can search for films by iconic scenes, making it easier to find specific movies based on memorable moments. This feature further enhances the platform's ability to cater to different user preferences, whether they are looking for a specific genre, mood, or scene. The user interface is designed with Flask and Bootstrap, ensuring a responsive and aesthetically pleasing experience across devices. With features such as movie search, trending lists, and detailed movie information, the system offers an all-in-one solution for movie discovery and enjoyment. By combining real-time emotion recognition with data-driven recommendations, this project aims to redefine the way users engage with movie content, making the process more intuitive and enjoyable. Read More...
|
Computer Science and Engineering |
India |
65-71 |
16 |
Role Of Digitalization In Transforming Import-export Practices
-Vinit Dashputre ; Rinku Dewasi
This research paper delves into the transformative role of digitalization in revolutionizing import-export practices, focusing on how emerging technologies are reshaping traditional trade operations. Digital tools such as blockchain, artificial intelligence (AI), the Internet of Things (IoT), and digital payment systems have introduced unprecedented efficiency, transparency, and scalability in global trade. These innovations optimize supply chain management, enhance real-time shipment monitoring, and streamline processes like customs clearance and trade financing. The study examines how single-window e-customs systems reduce paperwork and processing times while AI-driven predictive analytics improve inventory management and decision-making. Additionally, blockchain ensures security and immutability in trade documentation, reducing fraud and boosting trust among stakeholders. While digitalization presents significant benefits, challenges such as high implementation costs, lack of technical expertise, and cybersecurity risks hinder its widespread adoption. By synthesizing insights from academic literature and case studies, this paper highlights the profound impact of digital technologies on the efficiency and competitiveness of international trade, while addressing the barriers businesses face in fully embracing digital transformation. Read More...
|
Commerce |
India |
72-75 |
17 |
Transformative Applications of Artificial Intelligence in Ophthalmology: A Review on Eye Disease Detection
-Vansh Bansal ; Manav Agarwal; Jatin Verma
Artificial Intelligence has emerged as a promising tool within ophthalmology for accurate and fast detection of a wide range of eye diseases. We provide a critical review here of some of the transformative applications of AI in the field of ophthalmology with a simple CNN model for the detection of eye diseases. A simple CNN model is also presented to detect the eye diseases and the model has been trained and tested using a dataset comprising images of the retina, with preprocessing by applying techniques of data augmentation: resizing, flipping, and rotation. Results demonstrate the potential of AI and, more important, CNN models to enhance the accuracy and speed of eye disease diagnosis, reduce the workload of ophthalmologists, and improve patient outcomes. This study also discussed challenges and limitations of AI in ophthalmology, such as the need for large and diverse datasets, the importance of interpretability and explainability, and the possible ethical and regulatory issues. This review is an asset for both researchers and practitioners in ophthalmology, showing the transformative value of AI with the promise that CNN models have in detecting eye diseases. Read More...
|
Artificial Intelligence and Data Science |
India |
76-82 |
18 |
AI Driven Predictive Model for Tailored Treatment Plan
-Tanya Singla ; Aman ; Himanshi; Ashish Kapoor; Shiv Gulati
Personalized medicine in healthcare has emerged as a promising approach to closing the gap in patient outcomes. Leveraging artificial intelligence (AI) technology, particularly predictive models, offers a way to customize treatments based on patient characteristics, thus optimizing treatment for health and reducing adverse effects. This article provides a comprehensive review of existing intelligence based predictive models in healthcare, focusing on their application in clinical strategies. Different methods, data sets and results were used in this study. Develops research studies and highlights strengths, limitations, and potential ways to develop AI driven predictive models to aid clinical practice. It also explores the ethical and practical implications of using such models in the clinical setting, including data privacy, algorithmic bias, and governance issues. This study contributes to the ongoing debate about the potential replacement of cognitive skills in healthcare by providing a critical review of current methods and suggesting paths forward for research and future use. By leveraging the power of AI- powered predictive models, doctors can move closer to personalized medicine, ultimately improving patient outcomes and enhancing the quality of care. Read More...
|
Computer Science & Engineering |
India |
83-86 |
19 |
Integrating Statistical Techniques in Machine Learning Algorithms
-Yatin Singh ; Dipanshu; Anuj Singh; Smile Katoch
This paper has described one way of combining statistical techniques to improve accuracy, robust ness, and interpretability within the algorithms of machine learning. Practical problems with machine learning models are found in three common issues overfitting, under fitting, and data imbalance. Key statistical method regression analysis is done which establishes relationship between the variables. Hypothesis testing that test the valid assumptions. Bayesian inference that refines the prediction while looking at newly available data. It also discusses advanced techniques like feature selection and model validation to optimize the whole machine learning models. Examples of practical applications and case studies illustrate how statistical precision seeps into the everyday predictions and performance enhancement of machines. Read More...
|
Artificial Intelligence and Data Science Engineering |
India |
87-91 |
20 |
A Study on Exploring Legal, Insurance and Banking Practices: A Hands-on Internship Experience
-Dr Prabha D ; Sumera Sulthana ; Divya K
This article delves into the intricate processes of legal, insurance, and banking practices, offering insights gained from a hands-on internship experience. The study primarily focuses on three core areas: filing First Information Reports (FIRs) in the legal domain, understanding the operational framework of insurance companies, and exploring key banking practices such as cheque issuance, cheque bouncing, and financial transactions. Filing an FIR is a critical step in the judicial process, acting as the foundation for initiating legal action. Through this internship, the procedural requirements, challenges, and common errors associated with filing an FIR were analyzed. The role of accuracy and adherence to legal protocols in ensuring the effectiveness of this process was emphasized. The internship further explored the operational dynamics of an insurance company, including claim processing, client interactions, and risk assessment mechanisms. It highlighted how these processes aim to build trust and provide financial security to individuals and businesses. Read More...
|
Economics |
India |
92-94 |
21 |
We Safe Anti Crime Application
-Saurabh Vijay Dhatrak ; Pranav Bhanudas Ugale; Chetan Nilesh Kardiwal; Sarthak Sanjeev Rajput
Incidents are bound to occur anywhere at any given time. Incidents differ depending on the level of complication and severity. Incidents of such nature, though happening in the higher numbers in the past, are not reported to the authorities to preserve one's identity. This leads to half of the crimes not being reported due to the rate of unreported crimes. In the proposed system, users can register to this application and can give the detailed report of crimes that happened. In the modification part, there will be three logins 1.User 2.Police 3.Admin. User can input the crime report along with the initiation of current GPS or can input location details manually along with crime details with Photos, Audio, Video, Description of crime & category etc. date are sent to the server. Actions taken by police can be viewed by the admin and user. This also allows users to transfer files from the android to a remote server that can be divided into blocks and accessed as needed. Read More...
|
Computer Science & Technology |
India |
95-97 |
22 |
Analysis of Genetic Divergence in Wheat (Triticum Aestivum L.) Using Yield Attributes
-Shruti Tiwari ; Vishal Deshwal; Indrajeet Sunar
This study investigates the genetic divergence in wheat (Triticum aestivum L.) using yield-related attributes. Conducted during the Rabi season of 2021-2022, the research involved four wheat genotypes evaluated under a randomized block design. Comprehensive statistical analyses, including phenotypic and genotypic variability, heritability, genetic advance, correlation coefficients, path analysis, and Mahalanobis D² statistics, were employed. Results indicated significant variability among genotypes for traits such as plant height, flag leaf area, and harvest index. High heritability and genetic advance values for key traits suggest their potential utility in wheat breeding programs. These findings provide a robust framework for selecting genetically diverse parents to enhance wheat yield, adaptability, and resilience against environmental stresses. Read More...
|
Agricultural Sciences |
India |
98-105 |
23 |
Comprehensive Review of Antibacterial Properties of Lyocell Fiber with Silver Nanoparticles: Mechanisms, Functionalization Methods, and Potential Applications
-Swaraj Kumar ; Sanjay Verma
Lyocell, a regenerated cellulose fiber produced through eco-friendly processes using renewable resources such as trees, bamboo, and straw, has gained significant attention since its commercialization in 1988. Renowned for its smooth texture, comfort, and excellent physical properties compared to viscose fiber. Lyocell is widely used in textiles, nonwoven materials, and medical applications. However, its lack of inherent antimicrobial properties limits its potential in medical fields. This review explores various strategies, including physical blending, chemical modification, and post-treatment methods, to enhance the antibacterial characteristics of Lyocell fibers. Incorporating antimicrobial agents like silver nanoparticles has proven effective in improving bacterial resistance. The discussion emphasizes the mechanism challenge aspect of the future of these approaches, showcasing their potential to develop advanced antibacterial Lyocell fibers for diverse applications. Read More...
|
Textile Engineering |
India |
106-110 |