VOLUME 9, ISSUE 7, JULY 2022

Abstract: The importance of creating a social media environment void of abuse, bullying and threats cannot be overemphasized. Using Twitter as a case study, this project intends to employ current technology to perform hate speech detection on social media. I propose a classification method that combines an embedding algorithm with Convolution Neural Networks (CNN) and Recurrent Neural Networks (RNN), such as Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Multichannel combinations of these networks, using a dataset from Twitter for the training, validation and testing of the neural network. This study implemented nine deep neural models with different architectures, and the multichannel RCNN model performed best among the other models.

Keywords: CNN, C-LSTM, GRU, LSTM, NLP, RNN, RCNN, ReLU.

Abstract: Infertility is known to cause an impact on the mental health of the infertile couple, causing anxiety, depression, social isolation and sexual dysfunction. The stigma associated with male and female infertility in traditional societal interactions cause a high level of psychosocial distress with a direct impact on the couple's marital and sexual relations Infertile couples have high negative feelings, low self esteem, poor social support, less freedom and less number of opportunities as compared to normal couples. The World Health Organization (WHO) estimates that 60 to 80 million couples worldwide currently suffer from infertility. Infertility varies across regions of the world and is estimated to affect 8 to 12 per cent of couples worldwide, underlying these numbers exists a core group of couples, estimated to be 3 to 5 per cent, who are infertile due to unknown or unpreventable conditions. A prevalence of infertility above this level suggests preventable or treatable causes. Research methodology: Non experimental exploratory descriptive research design was used to conduct the study. The sample size was 40 couples visiting the infertility department. The simple Random sampling technique was used to select the samples. The Knowledge was assessed using Self structured knowledge questionnaire and Risk factors were assessed using checklist. Results and Findings: In this study the finding were 30% of samples have inadequate knowledge regarding infertility .57.5% of samples have moderate knowledge regarding infertility.12.5% of infertile couples have adequate knowledge regarding infertility. In Risk factors for infertility 10 percent of husband had diabetes, 15 percent of wife had anemia, 22 percent had hypertension,47 percent husband had tobacco addiction.15 percent wife had menstrual abnormalities, 48 percent of wife had gynecological problems.55 percent of Males had genitourinary problems.63 percent of females had stress related to treatment and 50 percent of Males had stress related to treatment.10 percent of Male had undergone surgery previously and 25 percent of Female had surgery. Frequency and percentage was used to analyze knowledge and risk factors related to infertility, chi-square test was used to find association of risk factors and demographic variables. Conclusion: Most of the couples had Inadequate to moderate knowledge regarding infertility and the associated risk factors are also moderate to severe so awareness and proper treatment regarding infertility has to be implemented.

Keywords: Knowledge, Risk factors, Infertility, Couples.

Abstract: Handwritten character recognition has been one of the active and challenging research areas in the field of image processing and pattern recognition. It has numerous advantages such as reading aid for bank cheques, recognizing character from form applications etc. An attempt is made to recognize handwritten characters for English alphabets using CNN. FKI dataset which consists of English alphabets are made use of to train the neural network. FKI balanced dataset consist of 131,600 images of characters and 47 classes. The feature extraction technique is obtained by normalizing the pixel values. Pixel values will range from 0 to 255 which represents the intensity of each pixel in the image and they are normalized to represent value between 0 and 1. Convolutional neural network is used as a classifier which trains the FKI dataset. The work is extended by adding some more dataset to FKI dataset of characters from English language and training the model. The prediction for the given input image is obtained from the trained classifier.

Keywords: CNN, Handwritten Characters, Feature extraction

Abstract: Altmetric methods are not restricted to the judgement of scientific authors. Most common social media were examined using articles published in the top journal in Economic History during 2019 to 2021 with the help of Altmetric Bookmarklet. It is found that research papers in Economic History were discussed on different social media web. Twitter has the highest number of readers followed by Mendeley. Other social media had an average of less than 1 reader is found.

Abstract: In the construction sector concrete is used 327 million metric tons in India during the year 2020 and it requires a large quantity of cement and aggregates. Cement producing industry is one of the carbon dioxide emitting sources besides deformation fuels and concrete is one of the largest consumes of natural resources materials. The cement industry produces about 7% of carbon dioxide emissions to the earth's atmosphere. As natural resources depleting due to excavation of river sand from natural resources is a serious problem to the environment. On the other side waste and by products from several industries are finding their way as alternative binding materials to prepare concrete. This paper presents the review of some research papers which uses locally available waste paper sludge ash and crushed rock sand replacing cement and fine aggregate in concrete.

Keywords: Crushed rock sand, Environment pollution, Paper sludge.

Abstract: The utility of Additively Manufacturing (AM) Stainless Steel (SS) elements is swiftly rising in a extensive spectrum of industries. Laser Powder Bed Fusion (LPBF) and Direct Laser Deposition (DLD) are the primary AM techniques to manufacture a widespread variety of SSs like 316 L, AISI 420, 17-4 PH, 304 L, and AISI 4135. This article specializes in the corrosion overall performance of additively manufacturing steel made of LPBF and DLD. The passive movie formation mechanisms and the corrosion overall performance of LPBF/DLD AM SS elements are mentioned in assessment to their conventionally made counterparts. Microstructural functions like porosity, inclusions, residual stress, floor roughness, elemental segregation, phases, and grain length distribution are elaborated very well from the corrosion factor of view, intently connected with the AM processing parameters. Generally, process parameters play a critical function with inside the corrosion properties of AM elements via way of means of impacting the microstructural functions. Assuming a right set of parameters for the printing process, the general corrosion overall performance of AM SS is higher than its traditional counterparts. However, there are nonetheless controversies round a few critical aspects including passive film structure, the character of residual stress, put up warmth remedy processes, and grain length distribution and their effect on corrosion overall performance, which emphasizes the want for future research on this area.

Keywords: Corrosion; Additive manufacturing; Stainless steel; Laser powder bed fusion; Direct Laser deposit.

Abstract: The world that we live in has been subjected to major changes since the outbreak of the COVID-19 pandemic. One of the biggest problems brought upon our generation due to this virus is the inability to go about with normal life. Fundamental aspects of our lives like going to in-person classes, attending programs and going to jobs have become impossible without a large amount of risk being involved. In order to make sure educational institutes, businesses and programs can function efficiently and effectively over an internet connection, we have devised a system titled "Attendance Management System Based on Face Recognition". A conventional attendance monitoring system, the concerned teacher takes attendance manually in a classroom. In general, it is a time- consuming and very difficult task to take attendance of a huge number of students in a short period of time and involves proxy attendance. To overcome these issues, we proposed a face recognition-based student attendance monitoring system in a classroom environment. The proposed method uses the Histogram of Oriented Gradients (HOG) as features extractor, Convolutional Neural Network (CNN) as face encoding and Support Vector Machine (SVM) as a classifier. The proposed system recognizes the face in real-time using a webcam and generates attendance report automatically without any human intervention.

Keywords: Face recognition, Histogram oriented gradients.

Abstract: BACKGROUND: The general hospital psychiatric care is most important since 30-50% of the patients attending primary care levels or general hospitals suffer from various forms of psychosomatic disorders, but they complain only vague symptoms which cannot be diagnosed medically. So, nurses working in general hospitals setting can help these clients by assessing and proper psychosocial care should be given for a permanent relief.

Abstract: This paper presents a new technique for the design and analysis of a fourth link mechanism for a delta-type 3D printing technology. The additional linked elements like connectors, connecting rods, and outer parts are designed as RepRap components for the fourth link assembly operation. At the prototype development stage, a CAD model of the mechanism is created and compared for the abilities and limitations of the existing three links and added link. The major drawback of the motion in Delta printers includes the determination of mechanism mobility (DOF), utilization of working space, and printing speed. The approaches that can be considered are presented for the modification of the new model 3D printer. For the next part, a fourth link is added along with the existing three links. The steps required in the analysis are checked on the inverse kinematics movement, through dynamic conditions in means of a jerk, velocity, and acceleration. For the static conditions in means of stress, strain, and displacement of links and joints, and graphs attached to both mechanisms. The model is checked out with the coefficients of error for the mechanism with unknown absolute angular velocities, accelerations, and jerks, determined based on the working of the module. Thus, the performance of the existing three pairs of links and the added link automates the printing activities in an effective way. The addition of the fourth link is studied and checked out with considerations for the quality of the printed products. Hence, this work attempts to introduce a new link along with the existing three links of Delta printers.

Keywords: Delta, Additive Manufacturing, 3D printer, Computer-Aided Design.

Abstract: Sufficient cover is required for the reinforcement in concrete structures for protection against corrosion. Though several codes of practices have specified minimum cover for various climatic conditions, it is often not maintained in practice. In this paper, the authors contend that the Indian Codal provisions relating to concrete cover have to be revised as they do not account for many factors related to minimum concrete cover. Also, some devices and methods to increase the quality of cover are discussed. The authors also stress that just an increase in concrete cover does not ensure durable structure.

Abstract: In a democratic country like India, every citizen over the age of 18 has the right to vote for their leaders. When a person reaches the age of 18, he or she has the legal right to freely enroll in the Indian Election Commission's voter registration system (IEC). Voter ID is only used for voting once every five years or as needed, and voter cards do not give any government services such as Aadhaar. Citizens fail to register for a voter card, and even if they do, voters may fail to vote because they live in a different location, which is far away from their home, and they are unwilling to go such a long distance. To ensure that every citizen has the opportunity to vote in a construction election, The greatest answer is to use Aadhaar and a web-based voting system that uses fingerprint recognition technology. Key Phrases: Face Recognition, Fingerprint Module.

Abstract: For smart city management, efficient handling of road traffic is one of the key aspects. Traffic congestion can be managed effectively, if the numbers of vehicles that are to pass through a crowded junction can be pre-estimated in time. The proposed method presents a framework, which has the capability to continuously convey the vehicle count and generate an alarm in case of large vehicle gathering to the controlling station in the Chandigarh or alike urban Indian cities. The number of vehicles passing through a location well before the required traffic junction can be estimated using the help of image processing techniques. Further, the monitoring details can be shared to a distant controlling centre situated anywhere in the city through internet usage. The performed experiments demonstrate the effectiveness of this Internet of Things (IoT) based technology.

Keywords: IoT, Firebase, Blob Detection, Raspberry Pi.

Abstract: Wrongdoing has been an obvious strategy to elevating individuals and society into hell throughout this age of ongoing times. An irregularity in a country's electorate is caused by an increasing wrongdoing factor. It is necessary to know the wrongful designs in order to deconstruct and react to these types of crimes. This study forces one such misdoings design evaluation by using Kaggle open source wrongdoing data, that is thus used for the expectation of most misdoings. Lately, there have been occurrences of violations. The most important aspect of this project is determining which types of misbehaviour contribute the most, as well as the time frame and location where it occurred. When compared to pre-created works, some AI calculations, such as Nave Bayes, are suggested in this work to characterise among diverse wrongdoing designs, and a respectable level of precision was attained.

Abstract: The Propound undertaking is medical doctor appointment that offers patients or anyone consumer and clean manner of reserving a physician's appointment on-line. that is a web primarily based on online platform that overcomes the difficulty of coping with reserving appointments in keeping with person's preference or needs. The challenge someday emerges as monotonous for the staff or medical doctor themselves in physically shelling out appointments for the customers as constant with their availability. As a result, this venture gives an effective answer wherein consumer can view numerous booking slots to be had select the popular date and time. The booked location will be already marked yellow and couldn't be to be had anybody favored time. This machine additionally gives patient to cancel their reserving every time. The machine affords a further function of calculating month-to-month income of doctor. Medical has to simply feed the machine regularly with every day earnings and the system routinely generates a file of total amount earned at the stop of the month. The software uses Asp.net as a frontend and square database due to the fact the back-cease In preceding years internet has been used for lots advantages of society. this text is about using the android application & internet for betterment of affected person. the primary cause is to provide patient a trouble loose surroundings and luxury for the patient while touring the medical doctor. as the patient must watch for a long time for appointments, despite the fact that they get the appointment, every now and then the doctor does no longer go to the sanatorium and the affected person leaves without visiting and the appointment receives canceled. by using the usage of technology like android & web primarily based application the difficulty will solve and the patients get well timed up to date. patients can eBook appointment from everywhere each time and it will save sufferer's valuable time.

Abstract: Any technique that will lessen the effects of climate change is referred to as a climate adaption strategy. In order to influence anticipated climatic changes, adaptation entails reducing risk from climate change. The goal of this study is to offer adaptation strategy for implementing district-level, sustainable responses to climate change. Additionally, mitigation is typically accomplished at the national and state levels. The effects of climate change differ depending on the local physiography. The current analysis identifies the physiographic regions that are both severely and less affected. Solutions for implementing adaption policies and plans should be provided by the inquiry. The functions that villages and grama panchayats play in society's adaptation to climate change should be included in a district-level plan. Whether we take action or not, humans will adapt to the effects of climate change. We can decide to adapt in a way that safeguards our most priceless resources by taking action. We run the risk of losing or harming some of our most precious resources if we do nothing. To stop climate change, mitigation involves lowering greenhouse gas emissions. Even if significant mitigating efforts are quickly put in place, adaptation to the effects, such as higher average temperatures and greater rainfall unpredictability, will be necessary. According to this investigation, while adjusting to the current climate's variability may help us prepare to some extent for future climate change, doing so will not be enough on its own.

Keywords: Climate adaptation strategy, Physiographic regions, temperature, rainfall.

Abstract: A similar PC system called digital bureaucracies also enables people to trade, rent, acquire, or distribute internet software and other assets in exchange for online assistance. Since it is an imitated computer, it won't require a space regulator or many other physical Working frameworks. There are several uses for cloud technology, including data transmission, file storage, mass data management, and the processing of health data. Using digital web technologies has many advantages, including improved efficiency improvements, decreased prices and operating expenses, upgradability, adjustability, and continuing integration.

Keywords: Cloud service, data exchange, secret key generation.

Abstract: Disclosure, dissemination, and public acceptance all affect stock market volatility. The effect of digital information on the stock market is becoming more and more obvious as social media usage and speed increase. However, because it is challenging to automatically gather and analyse vast volumes of relevant data. There is a dearth of both sheer scope in the studies on how digital media affects the stock market. To evaluate how the stock market and online media are related, the study thoroughly reviewed 229 research publications from the domains of finance, business informatics, and computer science. By media type, we have intentionally grouped representative works and distilled the key methods for transforming text data into a machine-friendly format. The models that were employed to uncover the covert connection between web media and stock movements were compared in the end. Our objective is to clarify the direction by using the most recent, cutting-edge research to understand the mechanism of web information penetration and its impact on the stock marketplace of investor cognitive behaviour, financial reporting, and stock exchange regulation.

Abstract: One in eight women may suffer from breast cancer at some point in their lives, making it a frequent health issue for women. Since radioactive radiation exposure makes breast cancer treatment risky, many women choose to forego getting the disease diagnosed. The non-invasive nature, the danger of radiation, and the specificity of the identification of breast tumors are all problems with breast cancer screening methods. Medical imaging often makes use of deep learning algorithms. This essay seeks to offer a thorough analysis of the benefits and drawbacks of breast cancer screening methods. Deep learning techniques' potential for use in the early identification of breast cancer is being investigated. Investigations are also conducted on the datasets and performance metrics for breast cancer. The directions for breast cancer research in the future are examined. The main goals are to provide an in-depth analysis of this area and to inspire creative researchers.

Keywords: SVM, Machine Learning, Deep Learning, CNN, VGG-16, and Breast Cancer.

Abstract: In the new evolving world, traffic rule violations have become a central issue for the majority of developing countries. The number of vehicles is increasing rapidly as well as the number of traffic rule violations is increasing exponentially. Managing traffic rule violations has always been a tedious and compromising task. Even though the process of traffic management has become automated, it's a very challenging problem, due to the diversity of plate formats, different scales, rotations and non-uniform illumination conditions during image acquisition. The principal objective of this project is to control traffic rule violations accurately and cost-effectively[6]. The proposed model includes an automated system which uses a camera-based on a PC to capture video. [4]The project presents Automatic Number Plate Recognition (ANPR) techniques and other image manipulation techniques for plate localization and character recognition which makes it faster and easier to identify the number plates. After recognizing the vehicle number from the number plate the SMS-based module is used to notify the vehicle owners about their traffic rule violation. An additional SMS is sent to Regional Transport Office (RTO) for tracking the report status.

Abstract: In recent years, the lines between social networking and e-commerce have steadily blurred. Many e-commerce websites let consumers sign in using their Facebook or Twitter accounts or other social networking profiles. New purchases may also be announced on the microblog, along with links to the product pages on e-commerce websites. In this study, we suggest a novel method to the problem of promoting products from e-commerce sites to users on social media in "cold start" conditions. When it comes to making suggestions for new products on social networking sites, the data is quite difficult to work with. Users linked via social networking sites and e-commerce websites may be used to convert social networking characteristics to refer to another component of the product offer (users who have social networking accounts and make purchases on e-commerce sites). Furthermore, we propose training consumers and embedding products from e-commerce site data using repeated neural networks (also known as "embedding", "coding," or "embedding"), and translating users' social networking using gradient-enhanced trees. components that go into consumer weddings. We create feature-based matrix factor technology for Cold Start product recommendations based on user marriages. The enormous Chinese microblogging service SINA WEIBO and the sizable dataset produced by the biggest Chinese B2C e-commerce site JINGDONG serve as examples of how the suggested framework is used.

Abstract: Manufacturing is the broad term and is usually used to describe removal of material from a work piece. Manufacturing includes cutting, abrasive processes (grinding), advanced machining processes (electrical, chemical, thermal, hydrodynamic, lasers). Manufacturing is required to improve dimensional accuracy and to produce external and internal geometric features with forming or shaping. Manufacturing helps in obtaining final dimensions and surfaces with finishing operations. Additionally, manufacturing assists in obtaining special surface characteristics or textures. Today, it is required to attain the most economical means of producing a particular part. In present study, a decision making for sustainable manufacturing and industrial applications is reviewed and propagated to disclose utility and importance of manufacturing setting. Six case reviews are examined to identify the prominent manufacturing aspects. The study is presenting a knowledge based decision making reviews for evaluating manufacturing operations.

Keywords: Machining; Evaluation; Case Review; Optimization, Decision Making

Abstract: The mouse is one of the amazing inventions of human-computer interaction (HCI). Currently, the device still uses a wireless or Bluetooth mouse and is not completely device-free, as it uses a battery for power and a dongle to connect to a computer. In the proposed artificial intelligence virtual mouse system, this limitation can be overcome by using a web camera or a built-in camera to capture hand gestures and hand tip detection using CV. The algorithm used in the system uses a machine learning algorithm. Based on hand gestures, the computer can be controlled virtually and can perform left-click, right-click, scroll, and computer cursor functions without using a physical mouse. The algorithm is based on deep learning for hand detection. Thus, the proposed system avoids the spread of COVID-19 by removing human intervention and the device's dependence on computer control.

Keywords: HCI, webcam, left-click, right-click, scrolling, intervention, eliminating

Abstract: The rapid landslide occurrences at the hillside development areas play an important role to modify the landslide. To understand their technical aspects we undertake an investigation in the village of Taliye, Mahad Tahasil Raigad. In recent time the hazards due to natural and manmade. In our project will be collect the rock and soil sample. we have selected the stream in Taliye origin of this stream. Stream is passing through the Taliye village. In our project the stream can be divided in 30m distance and each point we taken the GPS reading means latitude, longitude and elevation of that point and also shown the geological and geomorphologic characteristics of rock and soil. The all stream is studied up to it can be meet to the backwater of Niradeoghar dam. The first stage of project is the survey of stream and next stage is the collection of sample of each point and testing the soil and rock sample and their results can be compare to ASTM

Keywords: Hillside landslides, slopes, building on slopes.

Abstract: The complexity of an inventory network makes item welfare or quality issues extremely difficult to track, especially for the critical rural food supply networks that people rely on every day. The contemporary agricultural crop supply chains present a number of important issues, including a large number of participants, cumbersome correspondence caused by long production network cycles, member information uncertainty, and the included framework. The advancement of block chain technology addresses a problem that exists in the discernibility arrangement of rural food supply networks. This paper proposes a system based on consortium and smart contracts to track and trace the workflow of agricultural food supply chains, implement trace ability and share ability of supply chains, and breakdown the information islands between enterprises as much as possible to eliminate the need for central establishments and organizations and work on the accuracy of exchange records, unwavering quality, and security. Simultaneously, ranchers keep file IPFS hashes in dazzling agreements, enhancing information security and alleviating the block chain storage blast issue. Shanwei Lv fengyuan Modern Agricultural Development Co., Ltd has used this framework. Despite the fact that there are still numerous flaws, the framework has effectively implemented functionalities such as disintermediation and tracking of farming item data via QR codes.

Keywords: should be listed. Block chain, brilliant agreement, rural food inventory network, recognizability, and sanitation are all terms that come to mind while thinking about blockchain.

Abstract: Know your client (KYC) is a rule for the financial framework to approve a client based on character, propriety, and risk assessment when establishing a financial relationship. With the growing concern about security, the KYC cycle is perplexing and includes a significant cost for completing for a single client. Through InterPlanetary File System (IPFS) and blockchain innovation, we propose an affordable, quick, secure, and simple stage for KYC archive check for the Banking framework. The proposed framework allows a client to open a record at one bank, complete the KYC cycle there, and generate a hash value using the IPFS organization and distribute it via the blockchain method. After obtaining the confidential key, any Bank/monetary association can recover and securely store client information (i.e., KYC) utilizing the IPFS organization if the client wishes to open another account with that Bank/monetary association. The proposed framework can save time, money, and tedious work during the KYC cycle when someone tries to open a record at multiple banks.

Keywords: Blockchain, Smart Contact, KYC, IPFS, Gpg4win, and Decentralization

+91-7667918914 iarjset@gmail.com 0 Items International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal ISSN Online 2393-8021 ISSN Print 2394-1588 Since 2014 Home About About IARJSET Aims and Scope Editorial Board Editorial Policies Publication Ethics Publication Policies Indexing and Abstracting Citation Index License Information Authors How can I publish my paper? Instructions to Authors Benefits to Authors Why Publish in IARJSET Call for Papers Check my Paper status Publication Fee Details Publication Fee Mode FAQs Author Testimonials Reviewers Topics Peer Review Current Issue & Archives Indexing FAQ’s Contact Select Page A Review on Combating Cyber Attacks using Artificial Intelligence Suchith S, Prashanth K Abstract- We all know in the current scenario, cyber attacks, security and artificial intelligence (AI) are growing technologies. Machine learning (ML) models have setup a foundation for Artificial Intelligence(AI) based systems.AI plays a very important role in every aspects such as authentication of user, access control, spam, malware, behavior analysis and identification botnet. Contrarily, there are several security challenges in today's world. Users now face serious security dangers from cloud computing, social media, smart phones, and the widespread use of multiple apps like WhatsApp and Vibe. Artificial intelligence-based cybersecurity has a double-edged sword in that it can both significantly increase security and open the door to new types of attack that can be launched against AI itself. Machine learning algorithms have shown to be helpful in identifying zero-day attacks and seeing odd system behaviour that could be a sign of malware or an attack. Finally, we will talk about the importance of artificial intelligence (AI) and how it can be used to address cyber security concerns and cyberthreats in this paper.

Keywords: Cybersecurity; Artificial Intelligence, Cyber attacks Downloads: | DOI: 10.17148/IARJSET.2022.9727 How to Cite: [1] Suchith S, Prashanth K, "A Review on Combating Cyber Attacks using Artificial Intelligence," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: IARJSET.2022.9727 Copy Citation Call for Papers Rapid Publication 24/7 April 2026 Submission: eMail paper now Notification: Immediate Publication: Immediately with eCertificates Frequency: Monthly Downloads Paper Format Copyright Form   Submit to iarjset@gmail.com or editor@iarjset.com   Submit My Paper Author CenterHow can I publish my paper? Publication Fee Why Publish in IARJSET Benefits to Authors Guidelines to Authors FAQs (Frequently Asked Questions) Author Testimonials IARJSET ManagementAims and Scope Call for Papers Editorial Board DOI and Crossref Publication Ethics Editorial Policies Publication Policies Subscription / Librarian Conference Special Issue Info ArchivesCurrent Issue & Archives Conference Special Issue Copyright © 2026 IARJSET This work is licensed under a Creative Commons Attribution 4.0 International License. Open chat

Abstract: Cloud Computing promises cost cutting efficiencies to businesses and specifically their accounting departments through the use of third party vendors to store and process information. However this cloud computing innovation of storing and managing data off site also adds risk to the data security of a company. The Committee of Sponsoring Organizations (COSO), the Big Four accounting firms and other industry analysts have identified the benefits and concerns surrounding use of cloud technology and have prepared recommendations for companies who wish to utilize cloud computing on a formal or informal basis in their business operations. This paper will analyze the current advice on the risks of cloud computing in an effort to determine Best Practices for implementing use of and regulation of use of Cloud Computing within an organization.

Keywords: Accounting, Cloud Computing, Technology, COSO, Risk Management, Data Security.

Abstract: The importance of awareness with regard information systems (IS) security has been recently acknowledged. This paper studies the applicability of one aspect of the awareness approach, namely ethics and morality, to the context of pervasive computing. This paper presents an overview of ethical theories by discussing descriptivism and universal prescriptivism, the latter of which is then applied to the context of IS security. A model of ethical thinking in organizational context is developed, problem areas and hypotheses are identified and preliminary solutions are presented. The model is applied to a pervasive computing security scenario where it reveals key problem areas that are ad-dressed with the help of the awareness approach and the preliminary solutions presented.

Keywords: ethics, information systems security, awareness

Abstract: Cooperative banks play an important role in the rural areas, providing timely credit and other support for uplifting the economic conditions of farming community. Most co-operative banks sit uncomfortably in the heterogeneous banking structure. Cooperative Banks have a portfolio of loans and advances that are highly tilted toward Agriculture and that too short term agriculture [crop loning]. Management of NPA is burning issue now a day in banking sector. For that purpose The Narasimham Committee on Financial Sector Reforms has recommended that the policy on income recognition by banks should be in conformity with the international best practices which require classification of assets in two categories, viz., Performing Assets (PA) and Non-performing Assets (NPA).

Abstract: The impact of the COVID-19 pandemic made the educational sector revise its thinking and impose new ways and methods in carrying out its academic activities like all other sectors. The teaching-learning process must adapt to the digital age challenges in which the use of ICT Tools becomes dominant in use for teaching and learning. As the educational institutions across the globe reopen, students will be returning to classrooms for the traditional face-to-face teaching-learning process. This transition gave a unique opportunity for the educational institutions to think and consider ways to learn from the last year of remote learning, and look, potentially, to a new normal for teaching and learning. This paper deals with the trends of pandemic effects on education, its challenges towards the skilling of faculties, and how blended learning can be employed in the new normal.

Keywords: New normal, ICT Tools, Innovative teaching, Skilling challenge.

Abstract: Power companies now days are using different techniques for restoration of Power. There are many laid down procedures to be followed for Power restoration. Computer aided system can find more effective ways for power restoration. There are many challenges for power restoration. This paper briefly proves the idea behind the Artificial Neural Network in power restoration. It also describes the types of the Artificial Neural Network, their structures, different learning methods and power restoration methods. The power restoration plans are made by the Artificial Neural Network with the help of the power system restoration plan.

Keywords: Artificial, Neural, Network, Power, Restoration

Abstract: Across the world, there are many wells which are having problem of formation damage and decline in permeability of reservoirs which results in fall of production and the demand of oil is rising day by day. Moreover, it is not economically permissible, so need to carry out stimulation treatment which can improve the production performance of wellbore. The scales deposition occurs around the wellbore zone during various well operations (drilling, workover) that has a significant impact on well production. The removal of scale in the area of the wellbore, which bypasses the damage zone, is required to optimize well performance. Estimation of near wellbore damage zone parameters and scale deposition is one of the major challenges that affects stimulation efficiency. We did an integrated study for multi-stage Matrix Acidizing in a directional well in a deep sandstone reservoir in the Dholka field of the Cambay basin, India. The technique, which takes into account the complexity of scale deposition and its alteration during acid stimulation, is described fully in this work. In this paper, we depict the details of approach in step by step which considers during the matrix acidizing operations carrying for the removal of scales which formed by precipitation of organic and inorganic debris which are present in the crude oil.

Abstract: In this paper we use "KUSHARE Transform" for solving the system of ordinary differential equations of first order and first degree.

Keywords: Kushare transform, System of differential equations, Integral transforms, Initial conditions.

Abstract: The number of e-learning platforms and blended learning environments is continuously increasing and has sparked a lot of research around improvements of educational processes. Here, the ability to accurately predict student performance plays a vital role [5]. Specialized scope classifiers are then combined to an ensemble to robustly predict student learning behavior on learning objectives independently of the students' individual learning setting [7]. The study aims to predict students learning behavior based on students' interactions with the virtual learning environments [6]. Firstly predictive models are built using traditional classifiers Logistic Regression, Support Vector Machine which are shown good performance. Later implemented popular ensemble methods based on bagging and boosting. The result revealed that the accuracy, precision, recall and F1 score had been considerably improved by ensemble bagging and boosting methods than that of the individual classifiers. The data used in the study is the Open University Learning Analytics dataset (OULAD) set [13] of year 2014.

Keywords: Classification, Machine learning, Virtual learning environment. Ensemble methods, Bagging, Boosting

Abstract: Schiff's base and their metal complexes hold significant properties as catalysts in various biological systems, antimicrobial activities, polymers, dyes, antifungal activities, antitumor and antiviral activities insecticides. In the past scientists have been identified properties of Schiff bases and their metal complexes and also lots of work is going on to studied the unique properties of the Schiff bases. In this paper we have reviews the method of Synthesis of one of Schiff base ligand 4 - chloro-salicylidene Aniline (SB1). The synthesized ligand was characterized by XRD (X-Ray diffraction).

Keywords: Schiff base, Ligand, Aniline, XRD.

Abstract: Data collection mechanism is planned and correlation analysis of those gathered data. Exploratory data analysis is data analysis techniques that can be visually address the information installed in dataset. All the recreations are performed in Spyder (Python 3.9) and other obligatory libraries framework to process the patient data. The risk factors that cause disease are through of and predict and predict using some machine learning calculations. At last, it is intended to predict the future ailment of the most heart patients in light of their ongoing wellbeing status. The most effective way to forestall such clinical blunder is by diminishing the dependability of memory and by further developing the data access. The wellbeing related solo information is utilized for finding stowed away elements that might demonstrate a sickness state in patients. To foresee coronary illness, AI calculation is utilized alongside information examination and perception instrument. In result section, with this dataset and EDA approach clearly shows that prediction is accurate for heart disease patients.

Keywords: Exploratory Data Analysis, PCA Algorithm.

Abstract: Chronic kidney disease (CKD) is a type of kidney disease in which there is a gradual loss of kidney function over a period of months or years. Predicting this disease is one of the most important issues in the medical field. An automated tool that uses machine learning techniques to determine the condition of a patient's kidneys. This allows doctors to predict chronic kidney disease and provide better treatment. The proposed system can extract the causative features of CKD and automate classification into various stages according to the severity of chronic kidney disease through a machine learning process. The goal is to use machine learning algorithms and medical test record classification algorithms to suggest appropriate dietary plans for CKD patients. Diet recommendations for patients will be given according to potassium zone, which is calculated using blood potassium level to slow down the progression of CKD.

Abstract: Online health communities continue to offer huge variety of medical information useful for medical practitioners, system administrators and patients alike. In this system we collect real time health posts from reputed websites, where patients express their views, including their experiences and side-effects on drugs used by patients and perform Summarization of user posts per drug, and come out with useful conclusions for medical fraternity as well as patient community at a glance. Further, we propose to classify the users based on their `emotional state of mind'. Also, we shall perform knowledge discovery from user posts, whereby useful `patterns' about the triad `drugs-symptoms-medicine' is done by Association Learning.

Keywords: Summarization, Sentimental Analysis ,Patient Opinions, Popularity Of Drugs.

Abstract: Researchers have broadly used statistical and device getting to know strategies to assemble prediction fashions in numerous domains, consisting of software program fault prediction, junk mail detection, disorder diagnosis, and monetary fraud detection. Predicting sufferers who're susceptible to lung most cancers facilitates medical doctors make choices approximately treatment. In this regard, this observe seeks to evaluate the strength of numerous predictors within side the observe to growth the performance of detecting lung most cancers primarily based totally on symptoms. A range of classifiers together with Support Vector Machine (SVM), C4.five Decision tree, Multi-Layer Perceptron, Neural Network, Naïve Bayes (NB) are to be had and we use one of the green set of rules called "KNN set of rules" and evaluated on a benchmark datasets received from UCI repository. The overall performance is likewise analyzed with famous ensembles confusion matrix. We construct automation for lung most cancers prediction the usage of Microsoft technology consisting of VISUAL STUDIO AND SQL SERVER.

Keywords: Machine Learning, Lung Cancer, KNN Algorithm, UCI Repository.

Abstract: In order to provide security for network and data transmission for wireless network, cryptography and network encryption techniques are being used. One of the key aspects of wireless network data transmission is to provide data protection and security. In the wireless networks sensors are linked to the base station. The need for protecting wireless network sensor is very critical and hence encryption and network security are essential. Network security comprises security for the entire network system. Network security is important because it protects valuable data, which, when possessed by the wrong person, could end up causing a wide spectrum of problems, from inconveniences to catastrophes. An organization without adequate network security cannot function. Secure communication can be achieved through various encryption techniques viz. cryptography, digital signatures, steganography, digital watermarking etc. Cryptography is a technique of encryption used to secure information and protect the network, as various networks are related and admire attacks and intrusions. In this paper we discuss the cryptography with its aims, forms and algorithms.

Keywords: Cryptography, Network Security, Wireless Network, Encryption.

+91-7667918914 iarjset@gmail.com 0 Items International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal ISSN Online 2393-8021 ISSN Print 2394-1588 Since 2014 Home About About IARJSET Aims and Scope Editorial Board Editorial Policies Publication Ethics Publication Policies Indexing and Abstracting Citation Index License Information Authors How can I publish my paper? Instructions to Authors Benefits to Authors Why Publish in IARJSET Call for Papers Check my Paper status Publication Fee Details Publication Fee Mode FAQs Author Testimonials Reviewers Topics Peer Review Current Issue & Archives Indexing FAQ’s Contact Select Page Effect of Fly-Ash on the mechanical properties and workability of light weight Concrete Annapurna P Bennur, Chethan Kumar S, Dr.N.S.Kumar Abstract; This paper investigates the effects of Fly-ash on the compression and splits tensile strength of concrete . Concrete mix of grade M20 was tested . The cubes of size 15cmx15cm and cylinders specimens of size 15cm diameter and 30cm length are cast to test for compression and split tensile strength respectively and compared with the control specimens. Fly-ash and Cinder was used as a partial replacement for cement and coarse aggregate in normal strength concrete at 10%, 20%, 30% by weight and cinder by 20%,40%,60% by weight. The slump cone test and compaction factor tests were carried out to check the effect of Fly-ash on the workability of concrete. The increment in the cement substitution by Fly-ash caused decreasing the workability of concrete. It showed a 48% reduction of workability with 30% replacement as compared to plain concrete in the slump cone test. The optimum dosage of fly-ash for the compression strength and splitting tensile strength is 20% .

Keywords: Light weight concrete, Workability, Compression strength, Split tensile strength. Downloads: | DOI: 10.17148/IARJSET.2022.9742 How to Cite: [1] Annapurna P Bennur, Chethan Kumar S, Dr.N.S.Kumar, "Effect of Fly-Ash on the mechanical properties and workability of light weight Concrete," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: IARJSET.2022.9742 Copy Citation Call for Papers Rapid Publication 24/7 April 2026 Submission: eMail paper now Notification: Immediate Publication: Immediately with eCertificates Frequency: Monthly Downloads Paper Format Copyright Form   Submit to iarjset@gmail.com or editor@iarjset.com   Submit My Paper Author CenterHow can I publish my paper? Publication Fee Why Publish in IARJSET Benefits to Authors Guidelines to Authors FAQs (Frequently Asked Questions) Author Testimonials IARJSET ManagementAims and Scope Call for Papers Editorial Board DOI and Crossref Publication Ethics Editorial Policies Publication Policies Subscription / Librarian Conference Special Issue Info ArchivesCurrent Issue & Archives Conference Special Issue Copyright © 2026 IARJSET This work is licensed under a Creative Commons Attribution 4.0 International License. Open chat

Abstract: This topic of discussion is about the related criteria on the soil behavior under pressure due to the plasticity and elasticity of clay material during construction. this topic relates to an Environmental Sanitation of Hazardous waste within our surroundings. It is about soil structure which creates some changes in Electrical Clay Particles with an overview of coverage.

Keywords: Soil Material, Soil Formation, Geotech Method.

Abstract: This paper investigates the effects of Halloysite Nano-clay on the compression and splits tensile strength of concrete. The cubes of size 10cm*10cm and cylinders specimens of size 10cm diameter and 20cm length are cast to test for compression and split tensile strength respectively and compared with the control specimens. The HNCs added to the specimens as a replacement for cement in the dosage of 0.5%, 0.75%, and 1wt% to cement. The slump cone test and compaction factor tests were carried out to check the effect of HNCs on the workability of concrete. The increment in the cement substitution by HNC caused decreasing the workability of concrete. It showed a 28.5% reduction of workability with 1% replacement as compared to plain concrete in the slump cone test. The optimum dosage of HNC for the compression strength is 0.75% and 0.5% for the splitting tensile strength.

Keywords: Halloysite Nano-clay, Workability, Compression strength, Split tensile strength

Abstract: Tall building developments are rapidly increasing worldwide. In past years, developed countries have emerged as centres for brand spanking new high-rise buildings. The land is scarce and expensive, particularly in big cities like Japan, where tall buildings represent the simplest solution for solving the matter. Steel-frame structures of relatively lightweight, high strength, and high ductility became mainstream for the earthquake-resistant construction of high-rise buildings. Taller buildings also face higher wind loads hence steel is flexible, allowing the building to maneuver and deflect with the wind forces, instead of making it rigid like concrete. High-rise buildings, built completely in steel or primarily with steel are limited in India. In this paper, an attempt has been made to assess global and local ductility of a steel structure.

Keywords: High rise building, steel structure, ductility, analysis, seismic design

Abstract: Health is a essential theme in most of the cultures. In fact all communities have their concepts of health, as a part of the individual. The health of the community depends comprehensive health of the all age groups in the community the women, children and old age people health is the indicator whole community health. Health and family welfare services covering the wide spectrum health of all the population. Among this heart of community health depends mainly women's health. The women's health depends upon the women in the reproductive age group. Maintaining optimal health is a goal for all women. A quantitative descriptive research approach, survey research design was used in this study to assess the knowledge and attitude regarding preconception care among women in selected area of the city with a view to develop an information booklet. In this study sample consists of 124 women between age group of 18-45 years of age. Structured knowledge questionnaire and attitude scale was developed and introduced to them.

Keywords: Preconception care; women

Abstract: In this digital era, many good mornings are hard to imagine without a cup of coffee, as it is one of the most popular beverages preferred by people globally. This study aims to determine the consumption pattern and attitude toward the intake of coffee among working women. Background information, data regarding the preference, attitude, reasons for their preference, and frequency of coffee consumption among working females were collected using the google questionnaire and around 225 females submitted the forms completely. Incomplete forms and respondents not preferred coffee were excluded from the study. Among the coffee brands, the respondents most often chose Nescafe sunrise (33%), Bru instant (20%), Levista (19%), Narasus (17%), and Kannan Jubilee (8%). Other brands were mentioned by around 3% of the respondents. The choice of the type of coffee correlated with age, education, and workplace (p

Abstract: The primary aim of the study was to determine the personality and anxiety of Amateur Karate players. 50 Karate players and 50 other than Karate players is sample size of the study. The personality was measure through Eysenck Personality Questionnaire - Revised (EPQ-R) and Anxiety was measure through Sport Competition Anxiety Test (SCAT). The findings of the study indicates that karate players significantly less extrovert tendency than Other than Karate Players. The another findings of the study indicates that karate players significantly less Psychotic tendency than Other than Karate Players. The result reveals that No significant difference of Neuroticism and Lie scale found between Karate and Other than Karate Players. The findings of the study indicates that karate players significantly less Anxious than Other than Karate Players.

Keywords: Extraversion, Psychoticism, Neuroticism, Lie-Scale, Anxiety

Abstract: An infectious condition called COVID19 is brought on by a recently identified corona virus. A significant number of lives have been tragically lost as a result of the pandemic. Numerous coronavirus vaccines are being produced, yet thousands of cases continue to appear in different parts of the world. So, prompt & efficient testing is required to stopthe pandemic. Chest x-rays have lately been revealed to be a highly reliable predictor of COVID 19, according to numerous studies. Although chest X-rays cannot be used exclusively to diagnose COVID 19, because the results are immediate, people with positive results may be quickly separated. In this study, we use image classification with Convolutional Neural Networks learning to determine from a chest X-ray image whether a person has COVID-19.

Keywords: Convolutional neural networks, COVID 19 virus, corona virus, machine learning, and deep learning

Abstract: For best in class electrical gadgets effective and dependable activity is of specific significance. They should execute their capacity securely, if conceivable lifelong, and must be as economical as conceivable over their total lifetime. Concerning the evaluation of single units like circuit breakers, transformers, overhead lines and so on the Life-Cycle-Cost strategy has been utilized for a serious long time. The idea of Life-Cycle-Cost intends to consider the assembling cost, yet in addition to consider the operational and removal costs. For this situation the strategy underpins the cost appraisal of gear, while empowering a correlation of various hardware highlights. The determination of power transformer is essential to power area. Most techniques are used by the underlying cost and don't think about the synthetically assessment of economy and innovation. In light of past examination, this paper tends to another pragmatic probabilistic life cycle cost model. At that point, so as to show the practicability of probabilistic life cycle cost for the power transformer, illustrative speculation options of genuine power transformers are examined.

Abstract: In recent times, Indian investors increasingly have turned towards mutual funds to invest in order to achieve their various financial goals. Mutual funds proffer the advantages of diversification and professional management. A mutual fund pool money from numerous investors and invests the money in stocks, bonds, short-term money-market instruments, other securities or assets, or some combination of these investments. The combined holdings the mutual fund owns are known as its portfolio. Each share represents an investor's proportionate ownership of the fund's holdings and the income those holdings generate. This article will guide our mutual fund investors in understanding the benefit of mutual funds investment and also to select suitable fund for achieving their financial goals. A sectoral fund is an equity fund that invests the money of investors in businesses belonging to the same industry or sector. These funds let investors take exposure in specific sectors of the economy by putting all their money in companies of the same sector. As of late, SEBI's re-categorization has modified the foundation to determine whether an organization is large cap, small-cap, or mid-cap. Large cap organizations are those that constitute the top 100 companies in terms of market capitalization. The present study is an attempt to analyse investment trends in financial services sector mutual fund schemes in India

Keywords: Equity, Financial Service sector, NIFTTY, Mutual Fund,

Abstract: To accommodate important utilities such as power, telephone, computer network, and air conditioning, modern construction structures require numerous pipes and ducts. This will produce extra void space or waste space thus, a substitute arrangement must be devised to transmit these pipes and ducts via a transverse passage of the beam, and the cost of the construction of structures can be decreased. Hence, strengthening a beam with an opening should be done. There are two types of strengthening of beams: The pre-planned opening is done by steel reinforcement should be provided with proper design. When a post-planned opening occurs, the beam should be reinforced with different FRP such as CFRP, GFRP, and other materials. Different investigation has been done for reinforced structural member beams with openings. The main aim of this paper is to tell about the performance of the beam opening, analyse using the software, and design of concrete beam opening. Furthermore, various classifications of opening, different opening site suggestions, and the performance of Reinforced concrete beams with openings will be highlighted and explored. The article will also detail and explain many design methodologies. There are different types of strengthening techniques of the beam such as Fibre Reinforced Polymer and steel plates are investigated for strengthening RCC beams with openings.

Keywords: Reinforced concrete beam with different shape opening, different FRPs like CFRP, GFRP, strengthening of beams, ultimate load capacity, failure crack pattern, finite element approach, ANSYS, load versus deflection graphs, analysis of RC beams.

Abstract: Bridges are pervasive in all communities and shape the interpersonal, sociological, environmental, financial, ethnographic, and artistic features of these organizations. SHM is required because the properties of both concrete and steel are highly dependent on a variety of factors that are difficult to foretell in practice. The typical criteria selected for monitoring a structure's health may be mechanical, physical, or chemical. Monitoring the condition and functionality of bridges on a regular basis is vital for their appropriate management and functionality. SHM systems have evolved to continually evaluate and assess the functioning state of bridges, hence enhancing maintenance, inspection, and planning. In the previous ten years, researchers have made significant advancements in all facets of SHM, such as highly developed smart sensors, wireless sensors, sensor networks, data acquisition technologies, data communication systems, signal processing systems, data management systems and system integrated techniques, approaches for damage identification, model upgrading, and safety assessment, development and implementation of SHM frameworks for practical civil infrastructure and data interpretation and application. This work aims to compile global case studies on monitoring the structural health of multiple bridges using a variety of approaches, efficiency evaluation, and instantaneous alert systems. The purpose of this study is to review Structural Health Monitoring of a bridge by carrying out non destructive test named rebound hammer along the bridge by concerned authority to obtain the reduced compressive strength parameter of superstructure of bridge and modeling and analyzing it by FEM software specifically STAAD Pro and comparing the results such as bending moments, forces, and deflections and stresses and providing required repair and rehabilitation techniques.

Keywords: Bridges, FEM, Structural Health Monitoring.

Abstract: In this paper the hybrid composite material is fabricated with the combination of two different reinforcement materials namely saw dust and Husk. The test was conducted in this hybrid composite material according to ASTM D309 from which mechanical properties were taken for estimation. The Tensile and Flexural test were conducted according to the above said standards. The test were conducted with varying fiber percentage composition in the ratio of 40:50 , 60:60 for tensile test and 45:45 ,50:40 for Flexural test. The result were analyzed and the result showed 60:60 ratio of hybrid composite material has high Tensile Strength and 45:45 ratio has high flexural strength. This material can be well utilized for designing lightweight materials like automobiles interior parts, electronics boards and sports utilities.

Keywords: Natural Fibre Composites, Tensile Strength, Flexural Strength.

Abstract: Hardware security gets involved in various operations and they are in the field of e-commerce, banking, communications, satellite, image processing and so on. Cryptography is nothing but it is the procedure of transforming the plain input text into the cipher output or vice versa. Three forms of Cryptography: Private Key Cryptography, Public Key Cryptography & Hash functions. Private Key is nothing but it makes use of a similar key for Encryption & also for Decryption process whereas Public Key is nothing but it uses the two different keys for encryption and also for decryption process. Since AES operates using similar key for Encryption as well as Decryption so this type performance are important hastily, easy to apply and it requires truly lower processing power. Encryption process is only thing left to guard the specific information or data communication. Depending on the Key length it's more effective and there are three Key lengths options available and they are 128bit, 192bit and 256bit pivotal length. Greater the Key length more time is demanded to break the system or to hack the system. AES performs four different functions or transformations and they are as follows: Sub-bytes, Shift-rows, and Mix-column & Add round Key. By using Pipelined Architecture and LUT greater speed can be achieved. The proposed architecture is formed on optimizing timing and this is done by using verilog HDL.

Keywords: AES (Advanced Encryption Standard), FPGA (Field Programmable Gate Array), LUT (Look Up Table), Mix (Mix-column) Shift (Shift-rows), Sub (Sub-bytes).

Abstract: High-gain, low voltage stress, small size, and high efficiency should be the defining characteristics of the DC-DC converter used in hybrid electric vehicles (HEV). This work suggests a new non-isolated DC-DC converter that uses switched capacitors and switched inductors to achieve high gain, a wide input voltage range, low voltage stresses across components, and a common ground topology. The electric vehicle using this converter under consideration employs a brand-new control method termed integral backstepping. The principle of the backstepping methodology described here is to decompose the system design problem into a series of lower order system subproblems, and then iteratively use the states discovered in the subproblems as virtual controls to derive the control law for the system.

Keywords: Electric Vehicle, Integral backstepping.

Abstract: The role of solar photovoltaic system in the production of electricity is steadily growing. A grid tied solar photovoltaic system is becoming more and more common because of the plentiful sunshine and advanced power technologies. The synchronization process or how to synchronize an inverter with the grid is a significant issue in the integration of a solar photovoltaic system and the grid. Using a proper synchronization method improves the power transfer between the inverter and the grid. The major factors that need to be measured and synced are frequency, phase and voltage magnitude. In this synchronization process, a Synchronous Reference Frame Phase Locked Loop (SRF PLL) is employed to identify the phase angle of the grid under normal and abnormal grid situations. Anti-islanding protection, a frequently demanded safety feature which will disconnects the inverter from the grid and limits the power flow from the inverter to loads when the grid enters a fault condition. It is important to ensure this protection when using a grid tied solar photovoltaic system, is presented in this paper.

Keywords: Synchronization, anti-islanding, SRF PLL, grid, solar.

Abstract: Our project deals with design and analysis and design of Bridge Sub-Structures consists of Pier, Pier cap, Abutment, Foundation. According to IRC: 6-2017. This paper aims to understand the concepts involved in the analysis and design of Flyover Substructure subjected to different loadings namely Dead load, Super Imposed Dead Loads, Carriageway Live loads. The bridges are subjected to different live load cases namely IRC Class A, IRC Class 70R wheeled& tracked. Also the braking load, impact load, wind load, longitudinal forces are to be considered in the analysis. Here the structural analysis is carried out by using STAAD Pro V8i software. Structures are designed for critical loading combinations. Moment of inertia and neutral axis are the key components in calculating the moment of resistance, however moment of resistance should always be greater than design bending moments for a structure to be safe. The Serviceability limit state checks are very essential in providing additional reinforcement to resists shear and torsion.

Keywords: Pre-stressed Concrete, Flyover, Sub-Structures, STAAD Pro, IRC Codes.

Abstract: Metal to Cold Transfer Welding is a distinctive method of the welding process that has changed the way we view welding. Because it has a minimal heat input and is stable and spatter-free. It also provides a fast welding speed. Low heat input causes the intermetallic layer and Heat Affected Zone to thin down. High tensile strength and a fair percentage of elongation are the results. In this technique, fine granules are seen. High Hardness results from the observation of fine granules. In this procedure, porosity is kept to a minimum. In this technique, slag production and fumes are decreased. Faster solidification and rapid cooling are both seen. After solution treatment and age treatment, CMT welded joints performed well in terms of tensile strength, hardness, and microstructure. When EMF was used, our tensile strength improved. Rapid prototyping, 3D printing, hard facing, overlay, cladding, turbines, casting die restoration, and stack building in electric vehicles are among areas where CMT has found use. Overall, the procedure is entirely digital.

Keywords: Hardness, Age Treatment, Tensile Strength, Solidification, Welding

Abstract: India is extremely liable to floods and out of the overall region of 329 mha, over 40 mha is flood prone. Floods are recurrent phenomenon, which cause huge loss of lives and damage to livelihood system, loss of domestic animals, property, infrastructure and public utilities. It is a cause for great concern that the increasing trends are noticed to be high in connection with flood damages. This can be attributed to many reasons including rapid increase in population & urbanization coupled with growing developmental and economic activities in the floodplains and global warming. Continuing and large scale loss of lives and damage to public and private property due to floods indicate that it still need to develop an effective response to floods. The present study aims to strengthen the existing criteria for flood preparedness and to minimize the risk analysis in Kapila River floodplains of Nanjangud. Limited field visits are carried out during & after flood impacts and field photographs has been effectively collected. Survey of India (SoI) topomap, IRS-1D, PAN+LISS-III and ASTER G-DEM satellite data are processed through GIS environment. It is hoped that this humble effort will prove useful to decision makers in formulating effective Flood Management Plans in the future for similar geological terrains.

Keywords: Flash Flood; Nanjangud; Structural lineaments; Risk Management.

Abstract: The present study reports the recorded observations of several bird species visiting the Ficus beneghalensis with a major focus on territorial intra-specific interactions, sharing of livestock, foraging habits and population assessment of the avian species dependent on a single host tree in an urbanized settlement in Nagpur, Maharashtra. A total of 849 individuals of six different frugivorous species were reported to visit the host tree during the study duration, along with it the temporal and seasonal variations in the avian population were studied over a period of seven months including both the major fruiting seasons of the tree. The feeding habitat, social interactions and territorial defence of a female Asian koel were the major focus of the study. The study examines the territorial distribution amongst avian species with respect to a single host tree and focuses on the evolutionary aspects of niche occupation in the survival of a species.

Abstract: The goal of the research is to examine the connection between the price of gold and currency exchange rates, as well as how this affects the Sensex. One of the trickiest problems for investors is how the financial and commodity markets interact. Since the past to the present day, the financial markets have witnessed many tumultuous events involving the Indian economy. The price index of the other market is impacted by the volatility in the first market. This study focuses on the relationship between the price of gold, the value of the dollar, and the effect it has on the Sensex from January 2016 to December 2021. The Granger causality test was used to see how the variables related to one another. The findings showed a favourable link between gold and exchange, exchange, and Sensex. SENSEX does not display impact on the exchange, and neither does the exchange reflect impact on the price of gold.

Abstract: Solar energy holds enormous potential, where solar panels are used to transform solar radiation into electricity for the benefit of the society. But, huge variants of solar panels are available in the market and thus it is very difficult, confusing and challenging to determine, which panels posses' immense potential, appropriate utility and can competently satisfy the desirability of the customers with efficient energy generation and cost reduction. The present paper aims to present an inventive approach, which can be used as decision making tool for solving the problem of selecting solar panels. Multiple criteria's are identified for evaluation. Ddata are collected under scrutinized multiple criteria's named as open circuit voltage, short circuit current, peak power, cost, module efficiency, weight and area in relation to the solar panels. In present study, TOPSIS methodology is adapted to determine the most influential alternative for solar panel. Final rankings of the alternatives are presented.

Keywords: Alternatives, TOPSIS, appraisement, Solar Energy, Assessment.

Abstract: Beam-column joints are taken into consideration as the vital zones of failure. In realistic condition, extending the beam reinforcement into the column under the soffit and supplying confining reinforcement at ends of beam column joint, will causes clogging of reinforcement. In order to keep away from this clogging we must lessen the improvement period of the bars and growth the spacing of confinement bars such that no failure occurs. RC frame members subjected to lateral loads has long been recognised as being influenced by the show of beam column connection. During earthquakes, the forces in beam column joints can causes stress and, in some cases, failure. In such instances overall performance beam column joints are analysed to conquer from failure in joint phase of contributors and growing the spacing of confining reinforcement without compromising the ductile capacity.

Keywords: Beam, Column, Earthquake, Ductile Capacity, Reinforcement

Abstract: Monetary policy is an essential tool for managing the economy. Monetary policy uses various tools like like Cash Reserve Ratio (CRR), Statutory Liquidity Ratio (SLR), Repo Rate, Reverse Repo Rate and Bank rate to control the money supply of the country. Stock market is related to monetary policy. So, to know how stock market will move with the changes in different policy rates, this study is conducted. To understand the impact of monetary policy on different sectoral indices, nifty index this research is done. Nifty 50 & Sectoral indices fluctuation is influenced by the monetary policy of RBI. Any changes in the monetary policy has an impact on stock market returns and overall economy of the nation. For understanding the impact, multiple regression analysis and Johansen co-integration test has been done. Time series data has been collected where the opening and closing price of the stocks has been collected and averaged on the particular date. According to multiple regression tools and using Johansen co-integration test it is found the monetary-policy tool impact on Indian Securities market.

Keywords: RBI Monetary policies, bank rate, repo rate, reverse repo rate, statutory liquidity ratio, MSF

Abstract: Levi Strauss and Co. was formed over 130 years ago by Levi Strauss. Levi Strauss is one of the world's largest clothing companies. It manufactures and sells men's, women's, and children's jeans and casual clothing. Levi's, Dockers, and Levi Strauss Signature are the company's three key brands. Today, Levi Strass is one of the world's top ten apparel businesses. Levi Strass was ranked 510th by Fortune Magazine, yet it is ranked fifth in the business. The study opted the descriptive method and collected the primary data by a survey of 100 Levi's users under convenience sampling method. The SPSS (Statistical Package for the Social Science) is used for the testing the software along with the percentage and graphical representation. "The "marketing mix" is used to refer to the primary aspects of a marketing strategy by a variety of marketing professionals, including business owners, marketing executives, and operations managers. Product, price, promotion, and placement are the four components that are often cited as making up the "four Ps" of the marketing mix. The ability of a marketing mix to aid a corporation in deciding whether or not a product or service is suitable for a certain target client group is one of the primary reasons for the mix's usefulness.

Keywords: Levi's Products, Advertisements, Promotion, Customer satisfaction.

Abstract: Agricultural Finance is one of the major advances identified by commercial banks in priority sector. Most of the other advances involves collateral securities where as there is no such provisions or scope for getting collateral securities from the farmers community as major farmers are in the Below Poverty Line. It is one of the challenging task for the commercial bank to make a balance between lending and recovery. Unless banking organization understand the financial data with regards to agricultural loan and its impact on banking performance, it is not possible to form regulations for agricultural financing. In the present study an attempt has been made to understand the various factors to be considered, structure of agricultural schemes, eligibility criteria, NPA with respect to Canara Bank. These facts may help the bank authority to formulate suitable regulations.

Abstract: The global transition to renewable energy necessitates reskilling fossil fuel workers to ensure a just and equitable shift. This study examines the role of human resource (HR) management in facilitating this transition, focusing on skill gaps, program effectiveness, barriers, enablers, and socioeconomic impacts. Using a mixed-methods approach with a primary sample of 300 respondents (fossil fuel workers, renewable energy workers, HR professionals, and managers), the study confirms significant technical skill gaps among fossil fuel workers, moderate program effectiveness, resource-related barriers, and positive employability outcomes. Key findings include lower skill alignment (mean = 2.3) and program participation (50%) among fossil fuel workers compared to renewable energy workers (mean = 4.1, 75% participation). Financial incentives and flexible schedules emerged as critical enablers, while industry-relevant training and partnerships were prioritized for scalable frameworks. Reskilling improved employability for 60% of respondents, with renewable energy workers reporting higher job satisfaction (mean = 4.0 vs. 2.8). Policy recommendations include increased funding, accessible training models, and public-private partnerships to support a just transition. These findings underscore HR's pivotal role in aligning workforce capabilities with the demands of a low-carbon economy.

Keywords: Reskilling, Just Transition, Human Resource Management, Renewable Energy, Skill Gaps