No. |
Title and Author |
Area |
Country |
Page |
1 |
Performance Evaluation of a Double-Pass Solar Air Heater with Recycled Materials as Absorber Plate
-Vimalkumar Patel
The double pass solar air heater or DPSAH is a device that is integrated with the solar air heater in order to facilitate the transfer of heart energy from one part of the device to another part of the device so that the heart's energy can be transferred efficiently. Solar air heaters with just one pass are said to have a lesser impact on the generation of thermal energy since they lose out on the energy during the transfer process and, as a result, they generate less thermal energy. On the other hand, DPSAH exhibits a superior thermal efficiency, as this is the result of doubling the area of heat transfer, which is attributed to its energy-efficient design that allows it to achieve better thermal efficiency. The absorber plate located behind the collector of a DPSAH helps in the collection of solar energy by absorbing the light from the sun. There are many situations where a part such as this will be painted black in order to increase the absorption of solar energy, as this colour has a direct impact on the generation of a higher absorption of solar energy. It is intended that as part of the study, the use of recycled materials will be observed in the construction of the absorber plate, as well as the efficiency that is generated from the use of such materials. It should be noted that the majority of absorber materials which are usually used for this application are semiconductors or dyes, which can come in both organic and inorganic forms. Read More...
|
M-Tech (Thermal Engineering) |
India |
1-8 |
2 |
Performance Evaluation of Reclaimed Asphalt Pavement (RAP) in Rural Roads
-Ravi Kumar ; Pawan Dubey
This paper seeks to evaluate the performance of Reclaimed Asphalt Pavement (RAP) in the construction of rural roads. It aims to assess the engineering properties, environmental sustainability, cost-effectiveness, and overall performance of RAP under rural road conditions. The study makes use of both field studies and laboratory tests to comprehensively understand the properties and performance of RAP. The present study will be helpful for the objective identification and characterization of RAP material, the optimum portion of RAP binder will be used in virgin binder and RAP aggregates can be reused in asphalt and sub-base as well. Marshall Flow value increased with increasing the RAP content. Marshall Stability= 916.33 kg. Bitumen content corresponding to maximum Stability = 5.5 %. Bitumen content (5.5%) and RAP content (20%) corresponding to. Air voids = 1.40%. VFB at 20 % = 95.38%. Read More...
|
Civil Engineering |
India |
9-10 |
3 |
An Experimental Investigation of Plastic Fiber Reinforced Self-Compacting Concrete
-Ritika Shrivastava ; Mayur Singi
Self-compacting concrete (SCC) is a mixture that can be easily placed into formwork without the need for vibrating compaction, owing to its self-weight and high flowability. Unlike traditional concrete, SCC ensures that coarse aggregates remain uniformly distributed, eliminating the requirement for external or internal vibration during the compaction process while maintaining its engineering properties. Key properties of the new SCC include filling capacity, passing capacity, and strength, which are crucial considerations. Solidified mechanical properties of SCC with plastic fiber reinforcement are comparable to conventionally vibrated concrete. However, the disposal of waste plastics presents environmental challenges. Plastic is a non-biodegradable material, persisting in water and soil without degradation, leading to water and soil contamination. Incinerating plastic releases harmful gases, contributing to air pollution and posing health risks when inhaled. As a result, several countries have banned the use of plastics to address this pressing environmental issue. To tackle this problem, this research focuses on producing reinforced self-compacting concrete with waste plastic fibers (WPFRSCC) as a sustainable construction material. This approach offers a dual advantage, enhancing the properties of SCC while simultaneously addressing the disposal of waste plastics. In the study, a mix proportion for M40 concrete is determined using the IS: 10262:2009 method. Experiments are conducted to examine the flow characteristics of SCC with varying percentages of waste plastic fibers (0%, 0.50%, 1.00%, and 1.50%), along with different proportions of superplasticizer (1%, 0.90%, 0.80%, and 0.70%). After obtaining satisfactory mixes, cube, cylinder, and beam specimens are cast using different percentages of waste plastic fibers. Subsequent strength tests are performed on these specimens to evaluate the hardened properties of SCC with waste plastic reinforcement. The results demonstrate that waste plastic fiber reinforced SCC can be successfully developed without the need for consistency-modifying agents. Four distinct mixtures are formulated to meet the specific requirements of fresh SCC, considering different fiber percentages. From a strength perspective, it is found that an optimal combination is achieved with 1.0% of fiber content and 0.70% of superplasticizer. Read More...
|
Structural Engineering |
India |
11-15 |
4 |
Development of AI-based Detection and Classification model for Apple Crop Diseases
-Amit Kumar
In India, the valley of Kashmir holds the maximum share of Apple production with more than 75% of total apple production. Currently, around 160000 hectares of land in the Valley is under apple cultivation with an annual productivity of around 180000 MTs [source: Directorate of Horticulture, 2021], in which most part is exported to various regions of the world. Apple orchards are under constant threat from various types of viral pathogens, fungus, bacteria, and insects. They continuously damage the apple fruits and leaves, this is primary cause of low apple yield and results in a huge economic loss to the apple industry every year. Diseases like apple Scab, Apple Cedar Rust, Powdery Mildew, apple Blotch and apple Rot remain a major threat for the apple growers. Early diagnosis of apple diseases can help in controlling of infection spread and ensure higher yield, thus preventing substantial economic losses. Therefore, timely detection of diseases is crucial for enhancing both quality and quantity of apples. Traditional manual disease identification and inspection is laborious, time-consuming, error prone and requires a thorough knowledge of apple plant pathogens. Instead, automated approaches save both time and effort. In this research, , developed an AI based detection and classification model for apple crop diseases using deep learning architecture based on transfer learning convolutional neural network called YOLOv5. The model is improved to optimize for both detection speed and accuracy and applied to multi class apple plant disease detection in the real environment. The dataset corpus is formed which consists of 7909 images belonging to 6 classes namely apple scab, apple cedar rust, powdery mildew, healthy, apple blotch and apple rot. Then, the data annotation process is performed on all the images as per their target classes and saves the labels in a text file. During annotation of images in the training dataset, each text file contains information about the target class and the corresponding bounding coordinate. Several data augmentation techniques are performed to enrich and diversify the dataset which improves the model generalizability and eliminates the problem of overfitting. The non-maximum suppression (NMS) algorithm is used with darknet 53 framework. The mean average precision (mAP) and F1-score of the trained detection model is 90.22% and 92.5%, respectively. The developed model can be employed as an effective and efficient method to detect different apple plant diseases under complex orchard scenarios and can be extended to different fruit crops and automated agricultural detection processes. Read More...
|
Artificial intelligence |
India |
16-29 |
5 |
Criminal Effects of Digitalization in India
-Abir Baidya
Digitalization has brought numerous advancements and benefits to India, transforming various aspects of society and the economy. However, along with the benefits, it has also introduced new challenges and opportunities for criminals. This research paper explores the criminal effects of digitalization in India, focusing on the rise of cybercrimes, financial frauds, data breaches, and other digital offenses. The paper analyzes the factors contributing to the increase in digital crimes, the impact on individuals and businesses, and the challenges faced by law enforcement agencies. It also highlights the importance of strengthening cybersecurity measures, enhancing law enforcement capabilities, promoting public awareness, and implementing effective legal frameworks to mitigate the criminal effects of digitalization. Read More...
|
LAW |
India |
30-36 |
6 |
RCC Design of Connecting Channel Parshal Flume for A Conventional Water Treatment Plant
-Ankur Dev Jain ; Sapana Madan
Potable water parameters includes chemical, physical, and biological properties that should be examined based on the required limiting values/ranges of the parameters in question. Traditionally, a drinking water treatment plant consists of aeration, chemical dosing coagulation, flocculation, sedimentation, filtration and disinfection units that are chosen based on the quality of the raw water sample. Each unit is generally optimized to achieve the specified water quality effluent, both during the design and operation stages. The study was carried out to an open channel flow measurement tool called the Parshall flume was created to gauge irrigation and surface water flow rates. It is a fixed hydraulic construction called the Parshall flume. It is used to gauge the volumetric flow rate in municipal sewer systems, wastewater treatment facilities, and discharges. The parallel sides of the Parshall flume contract, causing a drop in the floor at the flume throat and accelerating the flow. The depth of water at a certain place upstream of the flume mouth can be converted to a flow rate under free-flow conditions. This paper will help us in dealing the Parshall flume RCC arrangements for its installation in the conventional water supply treatment projects. Read More...
|
Structural Engineering |
India |
37-42 |
7 |
Green Smart Home by Fog Computing
-Namrata Anil Sargar
IoT devices are incomplete without a cloud server. Without cloud services, we cannot collect and process the data that is sent from each IoT sensor, then execute and send back the result. Implementation of a fog node near an IoT device results in storing and processing data at the fog node rather than sending it to the cloud. This study proposed multiple sensors for a smart home that is connected to a cloud server with a fog node and without a fog node. A smart home consists of 10 sensors like motion, gas, light, vibration, location, water leak, air, video, and humidity. The evaluation is done by comparing the energy consumption and network usage of sensors that are connected to the cloud with a fog node and without a fog node. The energy consumption and network usage of sensors with fog computing are lower than without fog computing, so these will lead to a green smart home. If more sensors are added, then also energy consumption and network usage of fog computing will be lower. Read More...
|
Information Technology |
India |
43-45 |
8 |
Investigation of Temperature Distribution During Bone Drilling by Optimizing Helix Angle of Drill Bit
-Pravesh Singh Chouhan ; Prof. Vineet Dwivedi
Eight types of configurations of drill bit were used i.e. 10, 12, 12.5, 14, 14.5, 16, 16.5, 18 mm. An optimized model of drill bit has been developed as stated configurations of drill bit with different helix angle. The experimental investigations have been performed at a standard temperature that is the temperature generated during drilling process. The experimentation of the optimized model gives lower value of temperature distribution. The results are validated with reported existing previous work. The configuration of drill bit of helix angle 12.5 degree exhibits lower temperature distribution compared to other configuration. Read More...
|
Advance Production System |
India |
46-49 |
9 |
A Comparative Study on The Effects of Moving Loads on A Reinforced Concrete Deck Bridge Under IRC Class A And AASHTO HS-20 Loadings
-Madhusudan Sangitla ; Dr. Sunil Sugandhi
This thesis presents a comparative study on the effects of moving loads on a reinforced concrete deck bridge, examining two distinct loading standards, namely IRC Class A and AASHTO HS-20. The study's primary objectives were to evaluate the structural behavior, assess the performance, and compare the stresses and deformations experienced by the bridge under both loading conditions. Additionally, the research aimed to analyze the safety implications and identify potential vulnerabilities for each loading scenario while investigating critical points influenced differently by IRC Class A and AASHTO HS-20 loadings. The investigation involved analyzing various parameters such as bending moment, deflection, stress, torsional moment, and shear force in the bridge structure. conclusions offer valuable insights into the structural behavior and performance of steel girder deck bridges under various loading conditions and deck thicknesses. The findings can serve as essential guidelines for bridge design and optimization, ensuring the safety, durability, and efficient performance of the bridge structure. Engineers and designers can leverage this research to make informed decisions when selecting appropriate loading standards, ultimately contributing to the overall improvement of bridge infrastructure. Read More...
|
Transportation Engineering |
India |
50-54 |
10 |
IoT Based Smart Parking System for College Campus
-Ritu Sahebrao Rathod ; Anant Balasaheb Bade; Pankaj Vijaykumar Nagargoje; Kishor Vikram Nagargoje
Recently, the concept of smart cities has gained popularity. Because of the growth of the Internet of Things, the idea of a smart city today seems feasible. Urban infrastructure efficiency and dependability are being improved thanks to ongoing IoT research. Issues like traffic congestion, a lack of parking, and road safety are addressed using IoT. In this project, we present an IoT & RFID-based Smart Parking System. The proposed smart parking system makes use of an IoT module that is installed on-site to track and signal the availability of each specific parking space. Users can also verify parking availability and make a reservation for a spot using a smartphone application, which is also available. The report also provides a hardware, simulation view of the project. The use case that describes how the system works near the end of the report shows how accurate the suggested model is. Read More...
|
Civil Engineering |
India |
55-57 |
11 |
IoT Based Home Automation System : A Review
-Sahil ; Pankaj; Ankit; Neha
The rapid advancements in technology have led to the emergence of the Internet of Things (IoT) as a transformative paradigm in various domains, including home automation. This review paper aims to provide a comprehensive overview of IoT-based home automation systems, exploring their architecture, components, benefits, challenges, applications, and future prospects. With the increasing integration of IoT devices into our daily lives, a critical analysis of the current state of IoT-based home automation systems becomes crucial for understanding their potential impact on society, security concerns, and the path toward a smarter and more connected future. Read More...
|
Advanced Electronics and Communication Engineering |
India |
58-61 |
12 |
Review Article on Study of Various Mathematical Model of Immune System During Various Diseases
-Shital Yadav ; Dr.Anisa Ahmad; Dr.Nalini Vaidya
The immune system always plays most important role in caring the health of the human beings. It is directly proportional to the human health. It also helps to fight the diseases and to overcome from the diseases. In this paper various diseases and mathematical model studied by observing various type of differential equations which is considered as mathematical models. Various mathematical model formed by using ordinary differential equation and partial differential equation. A healthy immune system always protects the human being from outer invaders. Good health is related with the good immune system, if it is weak, then how it can affect the health of the body is studied here. Lack of nutrient is proportional to the weak immunity. Weak immunity affects the other body parts. Working ability of body parts during weak immunity is studied. In this paper the mathematical models of strong and weak immune systems during various diseases are studied. Working ability of body parts during weak immunity is examined by observing another mathematical model. Can we form different mathematical model studied here. Read More...
|
Mathematics |
India |
62-69 |
13 |
An Investigation of Cybersecurity: Examining Patterns, Hurdles, and Solutions
-Vipul Badgaiyan ; Prof. Hitesh Ninama
This study examines new trends, problems, and solutions in cybersecurity. This review study has importance because it provides an overview of major cybersecurity types, discusses recent cyberattacks, and analyses the properties, purpose, and motivations of cyberattacks, solutions and specific tools that can be used to mitigate the cyber-attack useful for individuals, businesses, and governments worldwide who want to understand the current state of cybersecurity and how to protect themselves against cyber threats. combination of literature review, and case study analysis is used to write this review research paper. The report begins with a summary of the key results from the Cybersecurity Ventures Report, emphasising the frequency and sophistication of cyberattacks that are becoming more common. Then, a case study is used to evaluate the roles played by the FBI in the USA in battling cybercrime. Prominent recent cyber incidents, such as the 2020 Microsoft Exchange Server and SolarWinds Hack, are examined. By scrutinizing cybersecurity through diverse lenses, the study investigates its fundamental framework, potential remedial measures, and specific tools that hold promise in mitigating cyber threats. It underscores the pivotal importance of devising a comprehensive cybersecurity strategy that encompasses the human element, robust procedural protocols, and cutting-edge technological fortification. The study's conclusion reveals a tapestry of insights into the changing cybersecurity scene and culminates in practical advice for preventing cyberattacks. It emphasises cybersecurity as a major issue that transcends national boundaries and has a big influence on people, businesses, and countries on a worldwide scale, going beyond the bounds of academia. Read More...
|
Computer Science |
India |
70-92 |
14 |
Experimental Study on Strength Characteristics of Mortars with Silica Aerogels
-Srivathsa H U ; Keerthan Prabhu; Mahesh; Likitha M M
Concrete is most widely used construction materials due to its strength, permanence, and durability. To meet the growing infrastructure and industrial needs, huge quantities of concrete is required, which in turn means, the large volumes of natural resources and raw materials are being used for concrete production around the world. In view of reducing the overall weight of the structure and inhibiting the fire resistance properties, Aerogels can be incorporated in the concrete. The present work is to study the strength characteristics of cement mortar with different percentages of Aerogels. Read More...
|
Civil Engineering |
India |
93-95 |
15 |
Magnetocaloric Effect: A Revolutionary Pathway for Advanced Refrigeration Technology
-Soham Nadkarni
This study focuses on Magnetic Refrigeration, a solid-material-based cooling technique employing the magneto-caloric effect. The paper explains this phenomenon's mechanism, contrasts it with conventional methods, assesses diverse magneto-caloric materials, and highlights magnetic refrigeration's advantages and applications. This method offers cost-effectiveness, durability, reduced weight, and enhanced efficiency, utilizing a solitary moving part: a rotating disc with magneto-caloric material. Unlike traditional systems, it avoids compressors, pumps, working fluids, and harmful substances. Potential applications span electronics, superconducting components, residential/commercial refrigerators, and air conditioning for various settings, promising a breakthrough in cooling technology. Read More...
|
Chemical Engineering |
India |
96-100 |
16 |
Eye mate Enhancing Accessibility for The Visually Impaired Through Facial Recognition and Deep Learnings Techniques
-Muhammed Razi Yahya Ayar ; Muhammed Sinan P; Muhammed Juraij AG
This project focuses on creating an innovative appli- cation to address the challenges of visual impairment. Leveraging image processing and advanced machine learning techniques, the application aims to offer real-time guidance and essential information to visually impaired individuals. The main objectives are threefold: first, the accurate recognition of objects in the user's environment using image processing and machine learning; second, the identification of human faces to enhance social interactions; and third, the conversion of visual text into auditory output through optical character recognition (OCR) technology. The application's core functionality lies in its real-time guidance, which interprets images from the device's camera and transforms them into auditory cues for navigation. To ensure accuracy and reliability, advanced machine learning algorithms and optimized image processing techniques are employed. Ultimately, the research seeks to empower visually impaired individuals, promoting independence and engagement in their environment. By bridging the gap between visual and auditory experiences, the application strives to enhance the quality of life for those with visual impairments, aligning technological innovation with social inclusivity. Read More...
|
Computer Science and Engineering |
India |
101-111 |
17 |
Methodologies to Re-Refine Used Lubricant Oils
-Dr. P. L. Muralidhara ; Gaurav Sarkar; Harish Narayanan; Janani Gayathri M. R.
Lubricant oils, essential for minimising friction between moving parts, find application across diverse industries such as automotive, industrial, marine, aviation, and energy production. The automotive sector primarily drives lubricant oil consumption, while the industrial domain follows suit. The global lubricants market, valued at USD 128.51 billion in 2020, demonstrates a growing trend, emphasising the escalating significance of lubricant oils. Traditionally derived from crude oil, the depletion of this source raises concerns. Moreover, disposal practices involving incineration and landfill contribute to environmental issues. Consequently, the pursuit of environmentally sustainable methods for disposal and reuse has become critical. "Re-refining" emerges as a rising technique, involving the removal of contaminants from used lubricant oils to restore their utility. This approach is not only eco-friendly but also conserves resources by reducing the need for fresh oil production. Moreover, re-refined lubricant oils often surpass industry standards, driven by advanced refining technologies. However, this method also produces potentially hazardous by-products, necessitating regulatory scrutiny. The study undertakes a comprehensive analysis of available methods, primarily focusing on engine oil, to determine an environmentally viable and economically feasible approach to re-refine used lubricant oils. The research presents a methodological exploration of re-refining used lubricant oils, driven by the urgency of sustainable development. The vacuum distillation-based approach, involving sequential operations of Dehydration, Vacuum Distillation, and Lube Oil Distillation and Condensation, emerges as a promising solution. This approach effectively removes water and contaminants, precisely fractionates components, and employs MEK (Methyl Ethyl Ketone) to enhance lubricating oil quality. The advantages include resource efficiency, waste minimisation, and high-quality re-refined products. While re-refining mitigates environmental concerns, certain challenges, including by-product hazards, necessitate careful consideration. This review underscores the need for and viability of re-refining as a path toward sustainable development, addressing environmental concerns while fostering economic growth in the lubricant industry. Read More...
|
Chemical Engineering |
India |
112-116 |
18 |
Studies On Plastic Pollution Assessment with Reference to Covid-19 Pandemic: Recovery Technique and Waste Management
-Aanchal Shukla ; Anjani kumar Dwivedi
On 11th March, 2020 World Health Organization blazoned COVID-19 Epidemic worldwide. In order to deal with COVID-19 epidemic, State and Central Governments have initiated colorful way, which include setting up of counter blockade centers camps, insulation wards, sample collection centers and laboratories. Central Pollution Control Board has been reviewing and collecting the COVID-19 biomedical waste data as well. During May, 2020 to March, 2021, the COVID-19 biomedical waste reported to be about, 725 tons. Month wise average COVID-19 biomedical waste generation in the Country during the period from May, 2020 till March, 2021 is given below. Read More...
|
Environmental Management |
India |
117-122 |
19 |
Optimization Accuracy for Prediction of Banking Loan Fraud using Gradient Boosting ML Approach
-Kajal Kushwah ; Dr. Vinod Kumar Yadav
The goal of this paper is to compare the predictive performance of several machine learning algorithms in their capability to predict in loans. This is done to come up with valuable information about which algorithms are most suitable for this task. Such information is required before machine learning can be implemented in practice to predict loan. To determine the performance, several algorithms that can be used to classify samples have been implemented. Those are used to predict the loan and the performance of each of the algorithms is measured. The loans used in this paper come from data sets Data collection- we collect data from kaggle repository. Samples used for prediction is 614 samples and column names are loan ID, Gender, Married ,Dependent, Education, Self-employed, Applicant Income, Coapplicant income, loan Amount etc. Finally, data set has been split according to certain characteristics. The goal of such a modification is to find differences in performances on specific parts of the data set. The proposed technique is based on gradient boosting (GB) technique and applied to load data. The proposed GB ML technique provides in 93.13% training accuracy and 93.13% testing accuracy. The proposed technique is 11.10 improvement accuracy compared to LR and 14.66% improvement accuracy compared RF. Read More...
|
Computer Science And Engineering |
India |
123-129 |
20 |
Analysis of Dust Produced at Soapstone Mines Abbottabad, Pakistan
-Salman Jaleel ; Salim Raza
This research aims to investigate the dust produced at soapstone mines in Abbottabad, Pakistan, and its potential impact on the health and safety of workers operating in such environments. Dust samples were collected during mining operation like drilling, loading and screening using gravimetric dust sampler. The dust was quantitatively analysed by measuring the weight of the collected samples over a specific time period and subsequently comparing it with the Threshold Limit Value (TLV) of the dust. Qualitative analysis of the dust was carried out through chemical analysis, elemental analysis (EDS) and particle size and shape analysis (SEM). The findings indicated a substantial excess in the quantity of dust generated during the shift compared to the designated Threshold Limit Value (TLV) for dust exposure in soapstone mines in Abbottabad. The composition of dust includes silica, magnesium oxide and minor amount of iron oxide, calcium oxide and aluminum oxide. The particles of soapstone dust exhibit a platy shape with irregular edges, ranging in size from 1.273 µm to 2.909 µm. The study highlights the adverse effects of soapstone dust on the respiratory system of workers employed in soapstone mines in Abbottabad, Pakistan. Read More...
|
Mining Engineering |
Pakistan |
130-133 |
21 |
A Review: Energy Efficient Clustering Based Routing for Secured Data Transmission in Wireless Sensor Network
-Saziya Tabbassum ; Rajesh Kumar Pathak
Wireless Sensor Networks (WSNs) consists of huge number of sensor nodes deployed in the region for the purpose of gathering information about the its environment and transfer that information to the base station. Because of the advancement in micro electrical-mechanical system (MEMS) and digital electronics the tiny sensors have capabilities of low-cost, low-power, multifunctional for different types of environment conditions, processing, and communication within short range. But with these features comes the biggest problem of WSNs that it has limited source of energy for data collection, processing, storing, and transmission due to its harsh environment condition in most of the cases. Also, sensor nodes are prone to security threats by the insider as well as outsider attackers due to distributed nature, random deployment and environment of WSNs. In this paper, we discuss clustering and routing approach energy efficiently so that there will be proper utilization of energy resulting in enhancement of overall networks lifetime. We will also discuss various threats at different layers of the network, mechanisms incorporated with different soft computing techniques to deal with such threats. Read More...
|
Ph.D |
India |
134-142 |
22 |
Development of Line Detection Algorithm
-Satyajit Sambhaji Deokar ; Mahadev Patil
Road detection in images is an application of automated line detection, which is a traditional topic in image processing. Many conventional line detectors, including the Gabor filter, the Radon transform, and the second order derivative of the Gaussian Blur, respond to both lines and edges. For instance, when only dark lines are needed, they will respond strongly to the edges of bright lines. Here, we identify the picture's area of interest (ROI). In this paper, we propose a line detection method that uses OTSU thresholding and the first derivative of the Gaussian function to reduce false detections, when only dark (or bright) lines are extracted. It can detect dark lines without much false detection. The proposed algorithm is tested through experiments using a variety of images and lighting setups. Read More...
|
Electronics and Telecommunication Engineering |
India |
143-147 |