No. |
Title and Author |
Area |
Country |
Page |
1 |
Water Quality Assessment of Baba Ghat of Beehar River Rewa (M.P.) India
-Awadhesh Kumar Sondhiya
All life on earth relies upon water. New water is a basic, limited, powerless, sustainable regular asset on the earth and assumes as significant part in our living climate without it life is unthinkable. In this paper we are dissected physio-substance investigation of Baba Ghat of Beehar waterway of Rewa city (M. P.) physical and substance boundaries like Temperature, pH, absolute solids, all out broke down solids, complete hardness , chlorides, calcium, magnesium, organic oxygen interest and compound oxygen request and so forth. Read More...
|
Civil Engineering |
India |
1-3 |
2 |
Implementation of DAGLOCS Composition in Foundation Work
-Shubham Chaudhary ; Asst. Prof. Manish Kumar Singh
Today in the era of increased rate of construction of concrete structures a lot of the cost is induced in the foundation work. This Composition which is also known as DAGLOCS which is designed to reduce the cost of construction without altering the characteristics properties of the construction of structures. The huge quantity of cement and mortar material requires the huge quantity of cement and motor material requires a lot of amounts of motor material. So in this research paper we will find out the possible ways of reducing the cost of structures construction which will help in using the waste materials which is easily available in the surrounding environment due to the materials which is used by peoples and also by the industries which are producing the useful products and also waste product which is also known as by products which are produced by the industries as a waste material so we can do easily use those material in order to reduce the cost of construction of structural components and also it can help in maintaining the characteristic strength of the concrete mix. DAGLOCS composition also have help the foundation of the structure to bear the weathering and chemical effects which generally occurs in the surrounding environment. Read More...
|
Civil Engineering |
India |
4-6 |
3 |
Mass Concreting in Dams with DAGLOCS Composition
-Shubham Chaudhary
In mass concreting a vast amount of concreting is done for heavy structures such as dams, Bridges, etc., for making the structure bearable to the strength. In the mass structures as the time passes many of the changes occur because of the different constraints which generally occur in the day-to-day environment, so keeping in mind all these different effects the research work is done on the mass concreting for making the state-of-the-art structure. In this research work many of the control measures are applied to sustain the different unviable effects which impacts the strength of the mega structures and also it can cause much of the harmful effects to the structure. In these structures the changes in the temperature are also considered from every direction of the structure, because these structures resist the temperature in all seasons, these structures may be anywhere either in the desert region or in the muddy area or in the water filled portion of the land. For the mass concreting structures different experimental studies are conducted to justify the proper establishment of load bearing structures at the required region of the land. Read More...
|
Civil Engineering |
India |
7-9 |
4 |
Role of AI and ChatGPT in Education and Their Impact on Other Field
-Naresh Kumar
AI and ChatGPT is a new age technology that uses the artificial Intelligence techniques to generate natural language responses to a given prompt or a input. It has also been use in different field like: education, natural processing, marketing, business, agriculture, medical science, automobile, finance, banking, science and technology, research and development etc. This study is focus on the origin of AI and ChatGPT, how it work and their impact on the other field. In this we discuss the role of AI and ChatGPT as well as its limitation and features. In this we also discuss the impact of AI and ChatGPT in the field of education, cyber security, software development, employment and information technology as well as its other related application for researchers and scholars. Read More...
|
Education |
India |
10-13 |
5 |
Glaucoma Detection and Classification
-Manisha Sahu ; Cassandra Rodrigues; Aaron Rodrigues; Royce Dcunha
Glaucoma is a chronic eye illness that results from optic nerve damage caused by high intraocular pressure. There are no symptoms of glaucoma in the early stages, but as the disease continues, it can lead to irreversible blindness. Diagnosis of glaucoma in the clinical environment includes intraocular pressure measurement, visual field testing, or examination of the optical disk of fundus images. In large-scale screening scenarios, these manual assessments are not precise, mostly in developing countries due to the insufficiency of trained experts and scarce modern imaging equipment. In this paper, several models are being used to study glaucoma detection. The models chosen are: VGG19, VGG19+LSTM, InceptionV3, and InceptionV3+LSTM. Every model is being worked with K-fold cross-validation and data augmentation to overcome the limitation of a small dataset. The features extracted are used to classify the input image and are then projected to be either glaucomatous or normal. Finally, the values obtained for various performance evaluation parameters are compared. Read More...
|
Computer Engineering |
India |
14-16 |
6 |
Agriculture Plant Disease Investigation and Image Classification with Artificial Neural Network Using ML
-R.Deepak ; Mr. M. Manikandan
The position of agrarian product is pivotal to a nation's profitable growth. The biggest handicap to the product and quality of food, however, is factory complaint. Beforehand discovery of factory conditions is essential for maintaining global health and weal. The standard system of opinion entails a pathologist visiting the position and visually assessing each factory. still, due to lower delicacy and limited availability of mortal coffers, homemade examination for colorful factory conditions is limited. To address these problems, it's necessary to develop automated styles that can snappily identify and classify a wide range of factory conditions. The presence of low- intensity information in the image background and focus, the extreme colour similarity between healthy and diseased factory areas, the presence of noise in the samples, and changes in the position, chrominance, structure, and size of factory leaves make it delicate to directly identify and classify factory conditions. We've developed a dependable factory complaint bracket system using an InceptionV3 Architecture to address the forenamed issues. In this exploration, we suggested a deep literacy strategy grounded on InceptionV3 Architecture to identify splint conditions in a variety of shops. Chancing the factory complaint and its bracket is our end. The substantiated dataset is taken from the well- known public source kaggle. The dataset consists of 70,295 Factory images of Apple, Blueberry, Cherry, Corn (sludge), Grape, Orange, Peach, Pepper bell, Potato, jeer, Soybean, Strawberry and Tomato. The suggested system has the capacity to handle complex situations from a shops area and can successfully identify colorful forms of conditions. Read More...
|
Computer Applications |
India |
17-20 |
7 |
Some Trends in Friction Stir Welding
-Sandeep P. Nevagi
Friction stir welding (FSW), is a relatively new solid state joining process patented in 1991[1]. It uses friction to generate heat and weld the plates in solid state. FSW was initially used to weld aluminium alloys, and is well suited for joining aluminum alloys[2]. It has an advantage over fusion welding when joining highly alloyed aluminium. High quality joints may even be made in aluminum alloys. FSW is environment friendly and energy efficient as compared to most of the welding processes. Read More...
|
Mechanical Engineering |
India |
21-24 |
8 |
Demand Forecasting For Retail Demand With Online Platform
-Rajvee shah ; Prof Deep Joshi
Online platforms have become popular for shopping any product now-a-days. The offers and discounts available with these platforms are attracting more and more people to buy products from online options. It may be a platform like amazon, flip kart or personalized product selling website like croma , reliance digital for electronic products and nykaa fashion, myntra etc for fashion related stuff. The brands like Hitachi, Phillips, Sony have their online stores where they offer bigger discounts on their products to attract customer for hassle free purchases. Moreover they spend hefty amount of money behind automation of decision support systems which include accurate prediction of demand of particular products. In this research, demand of particular electronic products is forecasted. Quantitative demand forecasting needs various categorised data like season, holidays, promotional expenses done because of constant variations in demand, seasonal changes and changing trends of market. The process needs data from online electronics store which is available thru Kaggle and data.world websites. Use of forecasting models like Modified ARIMA (AutoRegressive Integrated Moving Average) to predict product demand that performs more accurate results in comparison to the existing state of art technique. Read More...
|
ME in Computer Science And Engineering |
India |
25-31 |
9 |
Numerical Analysis and Design Optimisation of Leaf Spring Using SolidWorks 2020 & ANSYS 18.1
-Abhishek Gautam ; Dr. Rajesh Kumar Satankar
This study article describes the many kinds of content. and discover the ideal leaf spring This research presents a comprehensive analysis and design process for leaf springs using SolidWorks and ANSYS, two powerful engineering software tools. Leaf springs are essential components in vehicular suspension systems, providing support and stability for various transportation applications. This study aims to enhance the performance and reliability of leaf springs through a systematic approach that combines 3D modeling, simulation, and optimization techniques and finds more effective and high strength. With many superior qualities, including cost, cost-effectiveness, and weight. With the use of SOLIDWORK2020 & ANSYS18.1, the major goal of this study work is to determine whether the novel radius for leaf springs is more cost-effective and lighter than existing materials. Read More...
|
Machine Design |
India |
32-39 |
10 |
Evaluation of Best Multistoried Building Case of Vertical Mass Irregularity Under Seismic Loading
-Sapana Rawat ; Prof. Prachi Chincholikar
The phenomenon of out-of-plane offset in multistoried buildings has emerged as a topic of considerable interest in the field of structural engineering. Out-of-plane offset pertains to the vertical displacement or misalignment of structural components, such as walls or columns, relative to the primary vertical load-bearing elements of a building. This research paper aims to explore the most effective strategies for managing out-of-plane offset in multistoried buildings. To achieve this objective, a comprehensive analysis was conducted on a series of six model cases from case OPO case 1 to OPO Case 6, with an additional case of OPO 1.1, resulting in a total of seven cases being examined. The comparative analysis revealed that possibility case 6 exhibited the most favorable outcomes among all scenarios, indicating its potential as the recommended approach, highlighting the benefits of implementing out-of-plane offset selectively at the upper floor levels, to enhance the structural integrity and performance of multistoried buildings. Read More...
|
M.Tech in Structural Engineering |
India |
40-47 |
11 |
Improving Stability of Multistoried Building over Actual Soil Using Varied Concrete Grades in Beams at Different Floor Levels under Seismic Loading
-Shreya Malviya ; Prof. Prachi Chincholikar
There has been a growing demand for new structures to meet personal requirements and obligations. To fulfil these needs and ensure compliance with safety standards, it has become imperative to implement structural reforms. Numerous structural theories and solutions have been proposed to address this requirement while prioritizing the safety of buildings and their ability to withstand lateral forces. In this study, a need was generated by observing various literatures and their researchers conducted before. A need was generated to use different grade of concrete in beam member to observe the structural improvement by using M 45. Total 6 model cases have created in this regard with grade change at different floor levels. Result reveals that model case SIC 2 shows the better performance among all when compared with different result parameters that will be recommended for similar construction. Read More...
|
Structural Engineering |
India |
48-53 |
12 |
Safety and smart system for motorcyclist using internet of things
-Dr.R.Kavitha ; R.Aakash; A.AnandImmanuel; C.JerryFelix; P.Ramkumar
Life is a wonderful gift from the All-Powerful. The decision to live it joyfully rests with each person. On the other hand, we are not demonstrating any interest in protecting our lives. One of the biggest mistakes is failing to wear a helmet when riding a bike, which results in the loss of more than a million lives every year. In order to effectively solve this issue, this project is currently being developed. The Smart Helmet is designed to assess the rider fundamental needs and aid in a safe journey. The Smart Helmet is a new technology designed to address the issue of people not feeling comfortable wearing helmets while riding bikes. The helmet uses wireless technology to monitor whether the driver is wearing a helmet or not, and if not, the vehicle will automatically turn off. It also detects alcohol consumption and will not allow the vehicle to turn on if alcohol is detected. The helmet recognizes traffic signs and reminds drivers if they forget their keys in their vehicles. The overall goal of this project is to provide riders with safe and comfortable journeys by implementing new technologies and safety regulations. Read More...
|
Internet of things (IoT) |
India |
54-57 |
13 |
Social Media helped to Solve World Problems
-Vaishnavi Boga ; Nasera Shaikh; Hafsa Kharbe; Affan Peelay
This research attempts to understand how social media helped us to solve a problem which was arrived in our world. In this research we will find the different aspects about how people think when it comes to use social media. Making our world a better place to live for our upcoming generation is the best motive of our young generation and this can only be possible if we start using more social media which are suitable to our environment. The use of social media has grown tremendously high within the last few years. A social networking platform such as Facebook, Twitter, Instagram and Snapchat has become a popular and integral part of the daily lifestyle in Ethiopia. Read More...
|
M.SC.IT |
India |
58-61 |
14 |
Blockchain Interoperability Challenges, Requirements, and Solutions
-Siddiqa Sania Malvi ; Ufaq Shaikh; Ronak Shaikh; Ms. Misbah Momin
This research attempts to understand How can different blockchain networks communicate and exchange information or assets with each other in a secure, scalable, and decentralized way? This is the vision and challenge of blockchain interoperability, the capability that can unlock the full potential of distributed ledger technology (DLT). This paper provides a comprehensive and systematic overview of interoperability solutions and frameworks in this field. We use a literature review method to collect and analyze relevant papers from academic journals and conferences. We classify the existing solutions into four categories: trusted intermediaries (e.g., oracles), cross-chain swaps (e.g., atomic swaps), relay chains (e.g., Polkadot), and sidechains (e.g., Plasma). We compare their performance, security, and scalability using criteria such as trust assumptions, communication overhead, latency, finality, and throughput. We reveal the trade-offs and gaps between them. We also discuss some potential applications and future directions for interoperability research. We conclude that blockchain interoperability is a promising but complex topic that requires further investigation and experimentation. Read More...
|
M.SC.IT |
India |
62-67 |
15 |
Review Paper on Seismic Analysis of Diagrid Structures was Conducted in Various Seismic Zones of India, Considering Both Soft and Hard Soil Conditions
-Pushpendra Singh Waskel ; Mayur Singi
Improving high-rise buildings involves a myriad of complex factors, including finance, aesthetics, technology, urban regulations, and politics. However, among these factors, finance has emerged as the primary governing element. In tall structures, the structural design is largely governed by its lateral stability. In this context, diagrid structures have demonstrated their ability to efficiently withstand lateral seismic loads through their unique corner-to-corner connectivity, which sets them apart from conventional orthogonal structures like framed tubes. Diagrid structures offer exceptional structural efficiency while also introducing new aesthetic possibilities in tall building architecture. Their distinctive appearance is easily recognizable and visually appealing. By minimizing the need for vertical columns on the facade, diagrid systems reduce obstructions to the external view, enhancing the overall visual impact. Moreover, the efficiency of the diagrid system allows for the elimination of interior and corner columns, providing significant flexibility in floor planning. This review paper presents an in-depth analysis of the seismic behavior of diagrid structure frames under varying soil conditions in different seismic zones of India. The focus is primarily on evaluating the response of diagrid structures in both soft and hard soil conditions, and their performance in mitigating seismic forces. The paper examines the design considerations, analytical techniques, and case studies pertaining to diagrid structures in seismic regions of India. Read More...
|
Structural Engineering |
India |
68-71 |
16 |
The Seismic Analysis of Diagrid Structures in Various Seismic Zones of India, Considering Both Soft and Hard Soil Conditions
-Pushpendra Singh Waskel ; Mayur Singi
Improving high-rise buildings involves a myriad of complex factors, including finance, aesthetics, technology, urban regulations, and politics. However, among these factors, finance has emerged as the primary governing element. In tall structures, the structural design is largely governed by its lateral stability. In this context, diagrid structures have demonstrated their ability to efficiently withstand lateral seismic loads through their unique corner-to-corner connectivity, which sets them apart from conventional orthogonal structures like framed tubes. Diagrid structures offer exceptional structural efficiency while also introducing new aesthetic possibilities in tall building architecture. Their distinctive appearance is easily recognizable and visually appealing. By minimizing the need for vertical columns on the facade, diagrid systems reduce obstructions to the external view, enhancing the overall visual impact. Moreover, the efficiency of the diagrid system allows for the elimination of interior and corner columns, providing significant flexibility in floor planning. In this study, we conducted a comparative analysis to examine the positive impact of diagrid structures on tall buildings. Our objective was to evaluate the enhancement of resistivity and compare the variations in forces between a bare frame and a diagrid frame subjected to seismic forces in different zones and soil types. The study focused on a G+11 structure, considering the relevant loadings as per Indian provisions and seismic zones III and V. For modeling and analysis, we utilized the STAAD.Pro V8i software tool. A total of eight different cases were considered, incorporating diagrid structures at a diagonal angle of 63 degrees. The aim was to compare these cases and determine the most effective design approach for resisting forces. Read More...
|
Structural Engineering |
India |
72-76 |
17 |
Enhancing Structural Performance and Design Flexibility in Multi-Story Buildings through Floating Column Integration: A Comprehensive Analysis
-Shubham Sathe ; Mayur Singi
The study aims to utilize STAAD Software to conduct a comprehensive analysis of the seismic behavior of the buildings. This software enables the examination of various aspects related to the response of the structures under seismic forces. Secondly, the study analyzes and understands how seismic forces are distributed and modified within multi-story buildings. Specifically, it investigates the behavior of structures with floating columns in comparison to those without floating columns, aiming to identify the effects of floating columns on the seismic response. Thirdly, the study examines different positions of floating columns within the buildings and assesses their impact on the flow and distribution of forces during seismic events. By investigating the behavior of forces in relation to floating columns, the study aims to gain insights into the structural response and potential benefits of incorporating floating columns in seismic-resistant design. Additionally, the study evaluates the seismic result-story buildings with floating columns to ensure their safe and dependable behavior. Through rigorous analyses using STAAD Software, the study aims to identify any vulnerabilities, potential failures, or structural deficiencies in buildings with floating columns, with the ultimate goal of optimizing their seismic performance. Lastly, the study conducts a comparative analysis between structures with and without floating columns. By subjecting both types of structures to seismic analysis using STAAD Software, it aims to identify and evaluate the differences in their performance, highlighting the advantages and disadvantages of incorporating floating columns in seismic-resistant design. In summary, this study aims to enhance our understanding of the seismic behavior and structural performance of multi-story buildings in zone IV. By considering structures with and without floating columns, it seeks to improve seismic-resistant design practices and promote the development of safe and dependable structures in high-seismicity areas. Read More...
|
Structural Engineering |
India |
77-80 |
18 |
To Review and Study the Existing Methods and Procedures Available for the Analysis and Design of Masonry Buildings with and Without Openings Under Seismic Loading Conditions
-Manisha Patel ; Mayur Singi
Many existing buildings that do not meet current seismic requirements are at risk of sustaining significant damage or even collapsing when exposed to severe ground motions. The purpose of seismic evaluation is to assess the ability of earthquake-vulnerable or earthquake-damaged buildings to withstand future seismic events. This evaluation can also help determine the extent of intervention required for seismically deficient structures and retrofitting needs. Seismic evaluation aims to assess the potential seismic response of buildings that may be seismically deficient or have experienced earthquake damage, with the goal of determining their suitability for future use. By conducting a thorough evaluation, the seismic performance of these structures can be quantified, specifically in terms of yield and collapse capacities, using various ground motion indices derived from Incremental Dynamic Analysis (IDA) curves. IDA is a structural analysis method that involves performing a series of nonlinear dynamic analyses using multiple scaled ground motion records. In this study, the IDA procedure is adopted to analyze a sample masonry structure. A suite of seven selected ground motion time histories is used to conduct the IDA of the masonry structure. The yield capacity of the structure is defined as the intensity level at which the IDA curve deviates from the linear path, while the collapse capacity is defined as the intensity level at which the IDA curve becomes horizontal. Fragility curves, which represent the probability of exceeding a certain damage level (yielding or collapse) at various intensity levels, are then developed based on the results of the time-history analyses. These curves provide valuable insights into the structural vulnerabilities and probabilities of yielding and collapse at different ground motion intensities. By applying a log-log linear ground motion hazard model, hazard-survival curves can be generated by converting the intensity axis of the fragility curves to annual probability of exceedance. These results provide a concise representation of the probabilities of yielding and collapse for different levels of ground motion intensities. The Masonry structure is analyzed using SAP2000 software (version-14), which allows for pushover analysis, incremental dynamic analysis, and fragility analysis. The findings of this study can serve as a guideline for understanding the seismic behavior of masonry structures and inform future seismic design and assessment practices. Read More...
|
Structural Engineering |
India |
81-86 |
19 |
Review on Analysis of Concrete Aggregates by Applying Statistical Quality Control Tools: A Case Study
-Sandip Pagere ; Mayur Singi
This study focuses on two main aspects. Firstly, it examines the chronological development of statistical quality control (SQC) and provides a comprehensive account of its evolution. Secondly, it analyzes SQC as a research program, investigating whether it has followed an evolutionary or revolutionary path. The origins of quality control trace back to the Middle Ages, but it was in the early 20th century that Walter A. Shewhart laid the foundation for SQC with statistical methods. Since then, SQC has been enriched by the contributions of renowned statisticians and quality philosophers such as Deming, Juran, Ishikawa, and Crosby. Despite its significance, there is a lack of a chronological account of SQC in the literature, making this study timely and essential. By revisiting the development of SQC and examining it through a scientific lens, this research aims to answer two research questions: 1) What is the chronological account of statistical quality control? and 2) Has SQC evolved as an evolutionary or revolutionary research program? The study presents the chronological account of statistical methods and their application in quality control, followed by a discussion on the evolutionary or revolutionary nature of SQC. Finally, the paper concludes with a concise summary of the findings. Read More...
|
Structural Engineering |
India |
87-90 |
20 |
Design and Construction of Fastest Line Following Robot Using QTR 8RC Array Sensor
-Ayush Ganesh Hatwar ; Kirti Shankar Nikhar; Sachidanand Mukund Kulkarni ; Ravindra Vidhate; Yasin Sayyed
The automated guide vehicles which follow the assigned path using various sensors are the key technology for mobility in industries. In the presented research work, the fastest line-following robot has been designed and integrated which predominately follows the black line path. The QTR infrared sensor of eight arrays is implemented for sensor input toward the micro-control system. Robot fully working on PID algorithm. Through enough interaction the efficiency and the accuracy can be increased for the robot had been 3D printed with different additive manufacturing materials. Overall, the unique robot design with greater accuracy is achieved. Read More...
|
Mechanical Engineering |
India |
91-94 |
21 |
Research Paper on the of Effects of Sodium Chloride on Bond Strength Between Steel & Concrete
-Sanskar V Doshi ; Sagar N. Phule
The corrosion of steel strands due to the chloride contamination is one of the most common causes for the degradation of prestressed concrete infrastructure. In this project, an experimental study was performed to investigate the bond behaviors between steel strands and concrete after suffered the chloride corrosion. Total nine central and off-center pull-out specimens with different corrosion levels were prepared and tested on UTM. The effects of corrosion rate, concrete to the steel strands on the bond behaviors of steel strands were studied and compared, in terms of the failure mode, bond-slip relationship, bond strength. In this Project, total Nine cube has casted of size of 15m×15cm×15cm. The grade of the concrete was M40 and Mineral Admixture was fly ash, chemical admixture was super plasticizer and the proportion of the mineral admixture was 20% of the cementious material 0.6 % of super plasticizer. Steel bar of diameter of 8mm and length is 1m is used for providing inside of the cube at a depth of 100mm. Proper Mix design has done and all material required has collected before casting the cube. For casting ,Material is prepared with proportion for first three cube and mixing has done for that three cube and that process has done every three cube and the prepared concrete has filled in cube with proper compaction after determining the slump of that prepared concrete and steel bar is immersed upto 100mm from top in concrete. After painting, testing has been performed that is pullout test and calculation has been done. The result was, bond strength was more than mentioned in the IS 456-2000 and development length was 100mm for every cube that was same as actual provided and development length was 350mm to 400mm for different cube. So we are on safer side as guidelines of the IS code. Read More...
|
Civil Engineering |
India |
95-100 |
22 |
Review On Recycling of Waste Water by Using Vermifilter
-Sanskar Vaibhav Doshi ; Kaviraj Kisan Parade; Sagar N. Phule
Present situation of water, nearly 97% of water is present in the form of sea, which is salty and cannot be used for domestic or municipal use.2% of water is present in form of ice and glaciers. And only 1% of water is present for domestic use. Therefore there is scarcity of water in nature. Nearly 80% of the water supply used by society returns as municipal wastewater in the sewer system as sewage. Water is becoming a rare resource in the world. It is therefore essential to reduce surface and ground water use in all sectors of consumption, to substitute fresh water with alternative water resources and to optimize water use efficiency through reuse options. These alternative resources include rainwater and greywater. Greywater is commonly defined as wastewater generated from bathroom, laundry and kitchen. Due to rapid industrialization and development, there is an increased opportunity for greywater reuse in developing countries such as India. Read More...
|
Civil Engineering |
India |
101-103 |
23 |
Simulation Study of Effect of Various Parameters and Thickness Distribution In Deep Drawing of AISI 304 Stainless Steel Using AFDEX Software
-Vinodkumar ; Bharat S Kodli
In sheet metal, drawing is a process of forming flat sheet metal into hollow shapes by means of a punch that causes the metal to flow into the die cavity. This project aims to study the effect of various parameters on the deep drawing process. The project also aims to study the effect of these parameters on the thickness distribution in the final drawn cup. The material used for this study is AISI 304 stainless steel. AISI 304 is a widely-used austenitic chromium-nickel stainless steel. It has excellent drawing properties and very good formability. Modeling of workpieces and dies is carried out in SolidEdge V19. Simulation is carried out in AFDEX simulation software. The actual FEM-based calculation is performed by the simulation engine or solver. Based on the input data, necessary formulations are initiated by the software, and the required calculations are performed sequentially. A total of 15 simulations were performed in the AFDEX simulation software. In this study, three different cases are studied and in each case 5 simulations were performed. Variable parameters are binder holding force, die corner radius, and punch velocity. Whereas, co-efficient of friction and initial temperature is kept constant. Results were tabulated and analyzed for minimum damage value. Graphs were plotted to analyze the overall thickness distribution of the final drawn component. Read More...
|
Production Engg. |
India |
104-108 |
24 |
Simulation Study of Warm Deep Drawing Process Using AFDEX Software
-Madhushree ; Bharath S Kodli
Deep drawing is one of the most widely used metal forming process to produce sheet metal parts especially in automobile industries. Warm working is the plastic deformation of metal at temperatures below the temperature range for recrystallization and above the room temperature. This project aims to study the behaviour of the material AZ31B under warm conditions. This project also aims to optimize the process parameters and design parameters. Designing/ modelling of dies and workpiece is carried out in SolidEdge V19. The simulation and analysis of this process is accomplished using AFDEX software. Initial temperature range is kept in between 250ºC-400ºC. With variable temperature, 7 iterations were performed and it was found that effective stress is minimum for temperature of 400ºC. 15 iterations were performed in AFDEX simulation software with variable die corner radius and co-efficient of friction to get optimized parameters. Punch velocity is kept at 300mm/s and binder holding force is kept at 730N. The results were tabulated for minimum damage vale, effective stress and effective strain. Read More...
|
Production Engg. |
India |
109-112 |
25 |
An Experimental Study on Use of Demolished Concrete Waste, Industrial Ceramic Waste, And Fly Ash as A Partial Replacement of Fresh Concrete
-Mr. Hemant Solanki ; Prof. Lavina Talawale
In Many areas of the developing world sources of good quality aggregates are very limited or practically not available and therefore it has become necessary to study alternative materials. The rapid growth in construction and depleting natural resources demands the recycling and reusing technology to be adopted in construction field. In this experimental study the natural coarse aggregate (NCA) is replaced with recycled coarse aggregate (RCA), coarse industrial ceramic waste with fly ash at different percentage and the mechanical strength of concrete is tested. The objective of present study is to determine the sustainability of RCA, coarse industrial ceramic waste as an alternate material to NCA, and to compare the workability, density and compressive strength result using fly ash, For this mix design take water cement ratio 0.5 Cubes are casted by replacing virgin aggregate and cement with 10%, 20%, 30%, 40% RCA, ceramic waste and FA and compressive strength is checked. Results shows that RCA, ceramic waste and FA up to 40% can be used for making concrete. Read More...
|
Structural Engineering |
India |
113-115 |
26 |
Time History Analysis of Water Tank
-Madhavi Ganesh Katakpure ; Dr. S.D.Ambadkar
Earthquake is the result of sudden release of energy in the earth's crust that generates seismic waves. Ground shaking and rupture are the major effects generated by earthquakes. It has social as well as economic consequences such as causing death and injury of living things especially human beings and damages the built and natural environment. In order to take precaution for the loss of life and damage of structures due to the ground motion, it is important to understand the characteristics of the ground motion. The most important dynamic characteristics of earthquake are peak ground acceleration (PGA), frequency content, and duration. These characteristics play predominant rule in studying the behavior of structures under seismic loads. The strength of ground motion is measured based on the PGA, frequency content and how long the shaking continues. Ground motion has different frequency contents such as low, intermediate, and high. Present work deals with study of frequency content of ground motion on water tank. Linear time history analysis is performed in structural analysis and design (STAAD Pro) software. The proposed method is to study the response of water tank with fixed and pinned support frequency content ground motions. Read More...
|
Structural Engineering |
India |
116-119 |
27 |
Influence of Surfactant on Crystal Size and Shape and Stability Of DL-Valine
-Asmita D Sah ; Dr. Kushan Parikh
Amino acid; DL-Valine, has been crystalized in the presence of different ionic surfactants (Cationic CTAB, Anionic SDS) in the aqueous solution. A Crystal size and shape has been characterized by UV spectrophotometer and FT-IR and observed through optical microscope at room temperature. Crystal size alterations of DL-Valine were found due to nature of surfactant. Surfactant charge plays an important role to reduce the agglomeration of crystals by electrostatic reaction. The study shows that with the help of CTAB micellar solution; DL-Valine has lower crystal size and uniform shape. Read More...
|
Applied Science |
India |
120-123 |
28 |
Facial Identification System Using Eigenfaces
-Snehal Dhole ; Dr. P. A. Tijare
Principal component analysis (PCA) method called Eigenface is used to identify faces. The Eigenface technique finds the optimal vector for dispersing the facial image in the facial space while lowering the number of dimensions. This technique has been widely used and put to use in earlier studies to identify images of human faces. PCA can recognize photographs with various expressions in addition to detecting human faces in usual circumstances. Even images of faces that have been altered in some way can be recognized using techniques like combining photos of faces after plastic surgery with facial image restoration. This study's goal is to assess how well the PCAEigenface technique performs when recognizing human faces in pictures from various datasets. each with a unique set of challenges. Each database's well-known accuracy spans from 99% to 67%, with an average identification rate of around 85%. Read More...
|
Computer Science and Engineering |
India |
124-127 |
29 |
Enhancing Cluster Head Selection for Energy Efficiency in Wireless Sensor Networks: A Study of Swarm Intelligence Algorithms
-Dinesh ; Dinesh; Mrs Veena Rani; Dr Rajesh Gargi
Wireless sensor networks (WSNs) are becoming more important than ever because to the Internet of Things (IoT), which is facilitating increased worldwide interconnectivity. Micro sensor nodes in WSNs that communicate wirelessly have advanced to new levels of wide-scale application implementation. Due to their short battery lives, WSNs must be energy efficient. CH selection plays a crucial influence in WSN effectiveness. Both single-hop and multi-hop routing techniques are used, but multi-hop routing may result in higher node loads close to sink nodes. The increasing node load brought on by growing distance from sink nodes, however, may provide problems for single-hop cluster routing approaches. This study emphasizes the significant potential for wireless sensor networks (WSNs)-based energy efficiency algorithms to increase the longevity of WSNs. These protocols provide promising answers for boosting WSN durability and efficiency by optimizing energy consumption and resource utilization. For clustering optimization in WSNs, swarm intelligence approaches including fuzzy logic, ant colony optimization, and particle swarm optimization (PSO) have been successfully used by many researchers. To enhance cluster head selection, these methods make use of fitness functions based on variables including residual energy, intra-cluster distance, and node degree. The bee colony optimization algorithm is the main topic of this study. Examining this energy efficiency methods' performance in intricate and wide-ranging WSN infrastructures is essential to verifying their viability and effectiveness. Read More...
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Electronics & Communication Engineering |
India |
128-132 |
30 |
A Comprehensive Review on Optimization of Energy Audit in an Engineering Institute
-Sagar Patil ; Varsha Magar
An energy audit plays a crucial role in assessing energy consumption patterns and identifying opportunities for efficiency improvements in buildings. This abstract provides an overview of an energy audit conducted on a college building, aiming to evaluate its energy usage, identify areas of inefficiency, and propose sustainable measures for energy conservation. The audit encompassed a comprehensive analysis of the college building's energy systems, including lighting, electrical equipment, and insulation. Data collection methods employed comprised on-site measurements, equipment surveys, and analysis of utility bills and historical energy consumption data. Findings revealed several areas of energy wastage and inefficiency. Outdated lighting fixtures were identified as a significant contributor to excessive energy consumption, prompting recommendations for the implementation of energy-efficient technologies such as LED bulbs and occupancy sensors. The HVAC analysis highlighted inadequate insulation and air leaks, leading to significant heat loss and increased energy usage. Recommendations were made to improve insulation, seal air leaks, and optimize controls. Furthermore, the audit identified opportunities for energy conservation through behavioral changes and occupant engagement. Suggested measures included awareness campaigns and energy-saving guidelines to promote sustainable habits among students, faculty, and staff. Financial analyses were performed to evaluate the potential return on investment for implementing energy-efficient measures, considering factors such as energy cost savings, equipment lifespan, and available incentives and rebates. The audit report also emphasized the environmental benefits of energy conservation, including reduced greenhouse gas emissions and enhanced sustainability. In conclusion, the energy audit of the college building outlined numerous energy-saving opportunities and proposed practical recommendations to optimize energy consumption and reduce the institution's environmental footprint. By implementing the suggested measures, the college can achieve substantial energy savings, contribute to sustainability goals, and serve as an exemplar for other educational institutions striving for energy efficiency. Read More...
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Mechanical Engineering |
India |
133-138 |
31 |
A Review of Customer Loan Eligibility Prediction Using Machine Learning Algorithms
-Divya Evney ; Ajit Shrivastava; Rohit Bansal
In Loan status prediction is an effective tool for investment decisions in peer-to-peer (P2P) lending market. In P2P lending market, most borrowers full fill the repayment plan; however, some of them fail to pay back their loans. Therefore, a classification method can be utilized to discriminate such default borrowers. In this context, the aim of this dissertation is to propose an investment decision model in P2P lending market which consists of fully paid loans classified via the instance-based machine learning model. Customers who want any loan they apply for that loan. Company validates the customers eligibility for the loan. Company wants to automate the loan eligibility process. For validating such automatic process Gender, Marital Status Number of Dependents in their family, income of family members & finally credit score. To enhance their business in better way these types of facilities, may enhance business as well as customer satisfaction. We also used multiple Machine learning model to generate an investment portfolio based on non-default loans that are predicted to yield high returns. A comparison has been done between the actual and predicted expenses of the prediction premium and eventually, a graph has been plotted on this basis which will enlighten us to choose the best-suited algorithm. The selected algorithm will be applied for our proposed work i.e., Loan Prediction. For prediction, correctness has been measured by the Coefficient of determination. Gradient Boosting Classifier gives the best result in terms of Accuracy i.e. 0.9125 which can be used in its best possible way for the correct prediction of the Loan Prediction Guarantee for companies as well as Customers. Read More...
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Computer Science And Engineering |
India |
139-142 |
32 |
Customer Loan Eligibility Prediction Using Machine Learning Boosting Algorithms
-Divya Evney ; Ajit Shrivastava; Rohit Bansal
The In recent days, data mining has become very important for gaining vital information in Loan Granting Industries Like Home Loan, Personal Loan, Business Loan any many more Loan Services Available Now Days. For This kind of Industries Machine Learning and Deep Learning industries. Any Housing Finance company in all kind of Different loans. Presence across all urban, semi urban and rural area. Customer first applies for a home loan. Company validates the customers eligibility for the loan. Company wants to automate the loan eligibility process. Gender, Marital Status Number of Dependents, Income Loan Amount Credit History and Many More. To enhance their business in better way these types of facilities, may enhance business as well as customer satisfaction. This Research deals with predicting the eligibilities for applicants who applied for any kind of loans from any financial institution. Here various data mining or machine learning can support for this kind of work like many classifications Algorithm Regression, Naïve Bayes, Support Vector Machine Decision tree & Random Forest and many more. A comparison has been done between the actual and predicted expenses of the prediction premium and eventually, a graph has been plotted on this basis which will enlighten us to choose the best-suited Algorithm. The Selected Algorithm will be applied for our proposed work i.e., Loan Prediction. for prediction, correctness has been measured by the Coefficient of determination. Gradient Boosting Classifier gives the best result in terms of Accuracy i.e. 0.9125 which can be used in its best possible way for the correct prediction of the Loan Prediction Guarantee for companies as well as Customers. Read More...
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Computer Science And Engineering |
India |
143-146 |
33 |
Performance Based Analysis of 3-Phase Grid Interface Transformer of Wind-Energy by solid state transformer
-Aditya Kumar Rai ; Neeraj Kumar; Aastha Singh; Abhishek Kumar
In the field of Advanced power electronic device which is A Solid state transformer that can replace the conventional power transformer used in power systems. A solid state transformer (SST) is able to transform and control power in an efficient, compact and reliable way. Recently, there has been an emerging interest in using SSTs with Wind energy conversions system (WECs) due to their high efficiency, reliability and low maintenance requirements. One of the key advantages of SSTs in WECs application is their ability to perform voltage and frequency regulations, as well as power factor correction. Over all, the combination of SSTs and WECs offers a promising solution for the development of efficient, reliable and sustainable wind energy systems, which can help to address the growing energy demand and reduce the reliance on fossil fuels. Read More...
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Electronics & Communication Engineering |
India |
147-153 |
34 |
Synthesis of Transition Metal Complexes of Schiff Base by Ultrasound Irradiation Method and Conventional Method- A Comparative Study
-Datal Chaitanya Atmaram ; Akash Singare; Jaiprakash Dargad; Nanda Korde
Ultrasound irradiation has allowed preparation of the synthesized product along good yield in extremely short reaction period. The quality of the product was determined by SEM- TEM, HNMR, CMR etc. The high intensity ultrasound is regarded as an easy environmentally-friendly and flexible synthetic instrument compounds of co-ordination. The ultrasonication supply the synthesized molecule in excessive yield and clarity in shorter reaction time differentiated along the conventional method. Ultrasound irradiation extensively utilized in the preparation of nano particles and polymer supported material. The reaction are selected that requires additional stirring for accomplishment and fulfilled the ordinary temperature through the conventional method correlated along the ultrasound irradiation technique. Ultrasound technique is an supportive also in photosynthesis of nano complex can be extremely interesting for manufacturing function. In actual fact chemical changes in the period ultrasonic irradiation can also be helpful certain areas of chemical synthesis. Time for the reaction was very much less through ultrasound irradiation and the amount of product of reaction was too dominant as differentiated to the conventional method using reflux condition. The incorporate Schiff base and our metal complexes remain distinguish by the spectroscopic technique like UV-Visible, IR, and 1H NMR. The prepared Schiff base and there metal complexes showed satisfactory antimicrobial activity. Read More...
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Chemistry |
India |
154-156 |
35 |
Unveiling Power Reduction Techniques in VLSI Physical Design: A Comprehensive Review
-Harpreet Kaur
As semiconductor devices become more complex, power consumption in VLSI physical design is a significant challenge. This paper examines power reduction approaches, focusing on multibit flip flops, gate resizing, multi-threshold voltage design, and clock gating. The goal is to reduce power while maintaining performance in high-performance, energy-efficient integrated circuits. This study aims to assess the effectiveness of power reduction techniques in VLSI architectures. It provides insights into the applicability and impact of multibit flip flops, gate resizing, multi-threshold voltage design, and clock gating. Multibit flip flops combine single-bit flip flops, resulting in area savings, reduced clock tree power, and minimized global congestion. Gate resizing optimizes gate sizes for a balance between power consumption and performance. Multi-threshold voltage design utilizes different voltage levels in different circuit sections to reduce power dissipation. Clock gating involves selectively disabling clock signals to inactive circuit elements, conserving power. By thoroughly examining these power reduction techniques, this research paper aims to contribute to the existing body of knowledge in VLSI physical design and provide valuable insights for designers and researchers in their quest for energy-efficient and high-performance integrated circuits. Read More...
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Electronics & Communication Engineering |
India |
157-160 |
36 |
A Study on Financial Stability and Social Responsibility in a Business Practice
-Divya Antony
This study investigates the intricate relationship between financial stability and social responsibility within the realm of contemporary business practices. As businesses increasingly recognize their roles in society, the balance between profit generation and social impact has become a pivotal concern. This research employs a multidisciplinary approach, drawing on economic, ethical, and corporate social responsibility perspectives. Through comprehensive literature review and empirical analysis, this study explores the various dimensions of financial stability, including profitability, risk management, and long-term sustainability. Simultaneously, it assesses the integration of social responsibility measures such as environmental sustainability, community engagement, and ethical governance within business operations. The findings reveal that businesses that effectively incorporate social responsibility into their strategies tend to achieve sustainable financial stability over the long term. Furthermore, this study identifies key drivers, challenges, and success factors for businesses aiming to strike a harmonious balance between profit and social impact. This research contributes to the growing body of knowledge in the fields of business ethics, corporate governance, and sustainable finance, offering insights for business leaders, policymakers, and stakeholders seeking to promote responsible and financial by stable business practices in a rapidly changing global landscape. Read More...
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MBA |
India |
161-163 |
37 |
Study to Compare Lightning Impulse Waveform Evaluation using IEC 60060-1ED 2 and IEC 60060-1 ED 3
-Rakesh Raman ; Madhu Upadhyay
Eventhough the evaluation of lightning impulse has amended according to IEC 60060-1Ed 2 to IEC 60060-1 Ed 3 with K factor fitting, still many test labs and manufacturers use the old IEC evaluation. The study has conclusive evidence to prove that there a deviation in parameters such a Upk, T1, T2 and Overshoot. and K factor fitting in the new IEC provide better evaluation of the lightning impulse waves with oscillation and overshoot. The study also provides an insight to the change in parametric values due to circuit loop inductance and their changes with different evaluation methed. Read More...
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Electrical Engineering |
India |
164-167 |