VOLUME 10, ISSUE 2, FEBRUARY 2023

Abstract: The isothermal adsorption data of a lean coal has been used to regress the parameters of a temperature-pressure-adsorption equation with acceptable accuracy. The lnP vs 1/T plotting of lean coal under 15 cm3/g isosteric adsorption indicates that the adsorption is an exothermic process, the desorption is an endothermic process. Both the unit isosteric adsorption enthalpy (UIAE) and the unit isosteric desorption enthalpy (UIDE) have been calculated for different capacities and show that both UIAE and UIDE decrease with the increase of capacity.

Keywords: The isothermal adsorption; temperature-pressure-adsorption equation; unit isosteric adsorption enthalpy; unit isosteric desorption enthalpy.

Abstract: Drought is one of the most complex and long-recognised environmental disasters that can trigger environmental, social and economic problems. Drought assessment using drought indices is widely used for drought monitoring. In this study, Streamflow Drought Index (SDI) hydrological droughts were analysed at 3, 6 and 12-month time scales with the data provided from streamflow observation stations in Goksu Basin of Turkiye in 1980-2010. The distribution and magnitudes of the severity of wet and dry periods of the Goksu Basin were determined. In SDI analysis, the driest periods were found to be 2007, 2008 and 2010.

Keywords: Streamflow, Hydrological Drought, Streamflow Drought Index, Goksu Basin

Abstract: This study sought to determine the digital footprint awareness of the undergraduate students in a private higher education institution in Nueva Ecija, Philippines, to provide a basis for a plan of action. A descriptive research approach was employed by the researcher. Using a survey instrument, the researcher gathered data from 190 college students at a private higher education institution. Results revealed that the respondents were composed of 68% males and 32% females. Most of the respondents were from the first and second year levels. In terms of their age brackets, most respondents belong to the 18-19 and 20-21 age brackets. Respondents expressed that they use the internet for an average of 5 to 6 hours every day and that social networking sites are the most frequently accessed sites, with smartphones being the most commonly owned gadget. An assessment of digital awareness revealed that college students are well aware of their digital footprint in terms of online activities, personal information, online transactions, online platforms and environments, privacy, and security. Overall, their awareness of their digital footprint was very evident. As a result of this study, the researcher suggests activities that would contribute to sustaining digital footprint awareness among college students and may also be used as a set of activities for incoming college students to ensure that future students are also well aware of their digital footprint, leading to becoming responsible digital citizens.

Keywords: Digital Awareness; Digital Citizenship; Digital Footprint; Information Technology; Plan of Action.

Abstract: The purpose of this study was to determine the effects of plyometric exercise on Thigh Muscle Circumference of Collegiate Basketball players. The Basketball players of Nanded districts of Marathwada region of Maharashtra were selected the primary source of data for the present study. Total 60 Basketball considered as an experimental group and 60 Basketball considered control group for the present study. The experimental group was given the plyometric training and no training was given to the control group. The duration of training program was six weeks. The training was administrated on alternative days i.e. four days per week. The data was collected before and at the end of six weeks training program, with the help of steel tape. The criterion measures were recorded in centimeters. To find out the significant effect of plyometric training on the thigh muscle circumference t-test was employed and mean difference between pretest and posttest of experimental group and control group was determined. Results of this study showed significant effect of plyometric training on thigh muscle circumference was found.

Keywords: Plyometrics Training, Basketball Players, Thigh Muscle Circumference

Abstract: COVID-19 has been a serious health disease due to which the whole globe was declared as pandemic and shuts all business through implementing worldwide lockdown by governments of every nation in order to safeguard health's and lives of common people suffering to which numerous individuals lost their existence. The global pandemic has increased use of digital payments less use of cash payments in circulation. Although there was an increase in usage of digital services but this pandemic wave has encouraged people from towns and villages to use them in their routine and this study shows that there will be a continuous increase in adoption and use of digital payment applications as people are now getting aware in India.

Keywords: Covid-19, Demonetization, Digital payments, E-banking, UPI

Abstract: The objective of the investigation was to determine a semi-empirical formula that relates the reference evapotranspiration with the vapor pressure deficit, wind speed, temperature range and extraterrestrial radiation using data from the Puno meteorological station. Multiple linear regression was applied in the calibration and then the formula was validated by comparing its results with the class A tank method, Penman-Monteith, Hargreaves, and Serruto. The multiple linear regression coefficients are statistically significant (p<0.05), a correlation coefficient of 84% and determination of 71% was determined. The formula has a physical basis because the terms wind speed and vapor pressure deficit represent the aerodynamic factor; the temperature and extraterrestrial radiation terms include the energy balance factor. The formula better estimates the reference evapotranspiration than the methods with which it was compared and has a lower mean square error with respect to values obtained with a class A tank. The variation of values obtained with the formula is statistically equal to the variation obtained with a class A tank The formula slightly overestimates the mean because the reference evapotranspiration values in the calibration are higher than those in the validation.

Keywords: Formula, semi-empirical, evapotranspiration, reference, regression, Puno.

Abstract: The present study tests one of the important bibliometric laws that is Bradford's Law of scattering for the literature related to 'Bacterial Blight' research for the period 1989- 2021 as reflected in the Web of Science Core Collection database (Science Citation Index expanded). A total of 4748 articles related to Bacterial Blight research published and are scattered in 643 journals during the study period are retrieved. It was observed that the Phytopathology ranks first with total 5.22% (248) publications share, followed By Plant Disease ranks 2nd with 4.82% (229) publications, Molecular Plant-Microbe Interactions ranks 3rd with 2.49% (118) publications. In the present study, theoretical aspects of Bradford's Law of Scattering are tested also, graphical formation by drawing the bibliograph and found that the data do not fit to the present sample.

Keywords: Bradford's Law, Bacterial Blight research, Bibliometrics, Bibliometrics Law.

+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 Crime Rate Prediction and Analysis using K-Means Meenakshi.M, Madhumitha.V, Saranya.S, Sowmiya.A, Ramakrishnan.M     Downloads: | DOI: 10.17148/IARJSET.2023.10208 How to Cite: [1] Meenakshi.M, Madhumitha.V, Saranya.S, Sowmiya.A, Ramakrishnan.M, "Crime Rate Prediction and Analysis using K-Means," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2023.10208 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: Customer acquisition and retention is a key concern for several industries and is particularly acute in fiercely competitive and fast-growth businesses. Retaining a loyal customer is far more important than acquiring a new one, thus making customer churn one of the critical concerns for big corporations. Finding factors triggering customer churn is vital to implement necessary remediation to pre-empt and cut back this churn. This research focuses on implementing machine learning (ML) algorithms to identify potential churn customers, categorize them based on usage patterns, and visualize the analysis results. Results show that Decision Tree Classifier, Random Forest Algorithm, and Support Vector Machine have the best churn modeling performance, particularly for 80:20 dataset distribution with average AUC scores of 0.843, 0.787 and 0.735 respectively and low false negatives. The research demonstrates that ML algorithms can successfully predict potential customer churn and help in devising customer retention programmers.

Keywords: Telecom Industry, Customer churn, programming, understanding.

Abstract: Nowadays we can more often here or see news about children and even adults' loss their life by falling in Krishi honda or water lands in agricultural lands. It is basically a water storage bodies used in agricultural lands where is will not be having any kinds of safety covering for it or it will be kept open. So we have come up with any idea of KRISHI HONDA to rescue life by using basic AI robot with IR sensors connected to it for the detection of life and with the help of dc motors we can immediately save life when a human being fall into Krishi honda.

Keywords: KRISHI HONDA, AI

Abstract: Bird sounds recognition is of great significance in bird protection. With appropriate sound classification, research can automatically predict the quality of life in the area. Nowadays, the deep learning model is used to classify bird sound data with high classification accuracy. However, the generalization ability of most existing bird sound recognition models is poor, and the complicated algorithm is applied to extract bird sound features. To address these problems, a large data set containing 264 kinds of birds is constructed in this paper to enhance the generalization ability of the model, and then a lightweight bird sound recognition model is proposed to build a lightweight feature extraction and recognition network with MobileNetV3 as the backbone. By adjusting the depthwise separable convolution in the model, the recognition ability of the model is improved. A multi-scale feature fusion structure is designed, and the Pyramid Split Attention (PSA) module is added to the multi-scale feature fusion structure to improve the adaptability of the network to scale extraction of spatial information and channel information. To improve the refinement ability of the model towards the global information, the channel attention mechanism and ordinary convolution are introduced into Bneck module which makes the Bneck module become the Bnecks module. The experimental results show that the accuracy of Top-1 and Top-5 of the model in identifying 264 kinds of birds on the self-built data set is 95.12% and 100%, which are higher than that of MobileNetV1, MobileNetV2, MobileNetV3 respectively. Although the accuracy is lower than ResNet50, the number of parameters and floating-point operations (FLOPs) of the model is only 2.6M and 127M respectively. The accuracy is only reduced by 2.25% while saving costs.

Keywords: Attention mechanism, bird sound recognition, deep learning, lightweight, multi-scale feature fusion.

Abstract: The paper traces the importance of Emotional Intelligence (EI) in Managers from Automobile Manufacturing Industries and provides the review of literature of the same. Emotional intelligence is very crucial in personal and professional success. It helps in better planning, decision making and executing work harmoniously. Managers being the core of any organisation are involved with other employees in every level of execution. It is important to study the importance of emotional intelligence and to develop training modules to create appropriate intervention programs to enhance their emotional intelligence for managerial development (Sadri, 2012). This can indeed help to build the image of an industry, employee success, bring in effective work environment and help escalate business to meet global competition (Jorfi et al., 2010). There is a huge need to study emotional intelligence among the managerial segment in automotive industries in India and focus on intervention programs in Emotional intelligence for managerial development and not only focus on technical training and development.

Keywords: Emotional Intelligence, Literature Review, Managers and Automobile Manufacturing Industries

Abstract: Fintech also called financial technology has been on the block and revolutionizing demand since it was first introduced. Multiple applications make complete use and application of fintech and apply to the real world. Fintech mainly deals with the use of technology to solve most financial problems and gain a much better count on providing the most efficient services to real-time customers.The growing stimulant and popularity of Fintech have been to such an extent that almost the majority of software solutions utilize it. It has outgrown to develop a spur of payment solutions to most of the software technologies, educational institutions, and other public registration offices. Fintech necessitates having good development and understanding of the most recently adopted, digital methods of payments and enables every individual to have a clear understanding of financial services, online banking, mobile banking, and similar other requirements. However, certain problems comprehend with the utilization of Fintech. False charging by the operators working on a sector level, lack of awareness of using digitization payments among the public, and lack of knowledge of new systems adopted such as online payments, and cryptocurrency is some of the challenges and roadblocks that are dealt with with the use of Digitization. To address these problems and bring an effective solution that can be utilized by everyone irrespective of their background, we have implemented a real-time model that can be used. The model is centralized and utilized mainly by public registration offices, payment services, and other institutions that have good crowds. With the transition of the financial ecosystem in India, such as the implementation of demonetization in 2016, digitization has made more sense and is being used everywhere. The main objective of the model is to bring together the different methods of digital payments, and cashless integration of payments and understand their use cases effectively to build a stronger and sound financial ecosystem.

Keywords: Fintech, Centralized payment gateway, Payment Digitization/Cashless payments, Payment aggregators, Two-way Reconciliation, Data Visualization

Abstract: One of the main reasons for auto accidents across the world is potholes. It is believed that poor road conditions, of which potholes account for a sizable portion, are to blame for around one-third of all traffic accidents. Traffic jams and accidents are often caused by bad road conditions. You risk losing control of your vehicle if the pothole is really bad or if your vehicle isn't designed to withstand the impact. This frequently results in vehicle accidents, which cause needless deaths. When riding over potholes, motorcycle riders are particularly vulnerable to harm. A bike only has two wheels on the ground, and although being lighter than a car, a motorbike cannot cope up with potholes in the road. The prototype described in this article locates potholes on the road and updates them in the cloud. This method aids in keeping the road in good condition. Additionally, ultrasonic sensors are used to independently measure the depth of the road to find and identify potholes. The suggested architecture additionally makes advantage of IoT to store in the cloud the geographical location of found potholes. For management experts, this data is a valuable resource.

Keywords: Hump Detection, PotHole Detection, Animal Detection, Conventional Neural Networks Algorithm, Haar Cascade Algorithm.

Abstract: Laterites comprising the Swarnagadde plateau of Western Ghats on the south-western margin of peninsular gneissic complex. Laterites generally cap the granitic-gneiss and found plateau and coastal plains of the study area. A thick residual laterite-cappings have been formed during the Tertiary period due to intense and prolonged tropical weathering is the only major geological event of the area. Laterites are the products of intense sub aerial weathering in which Fe and / or Al content is higher and Si content is lower than in merely Kaolinised parent rocks. XRD analyses for identification of different mineral phases taken up and gibbsite, boehmite, kaolinite, goethite, anatase, hematite and other minerals have been identified in most of the laterite and altered rock samples, comprehensive peak data is presented in tables. Gibbsite and anatase show a gradual increase from reddish brown phase to white phase. Goethite and hematite show a decreasing trend from reddish brown to white phases of laterites. Kaolinite remains more or less uniform in all the phases except the clay zone in which it decreases. It increases slightly in laterites and becomes predominant in this saprolite horizon.

Keywords: Gibbsite, Weathering, XRD analysis, Reddish brown, Laterites.

Abstract: Safety is a major concern in our lives today. Whether within an organization or in a restricted area; With the growing need for security measures in everyday life, biometrics has become a hot topic of research targeting its potential value in personal identification. This is because biometric systems are classified as more secure than other security systems. This paper focuses on iris and fingerprint as one of the best biometric features for identity management. Iris recognition possesses properties that make it a quintessential biometric system. The point of this venture is to distinguish an individual without a blunder, burning through less time, and keep away from mistakes in confined regions. The recognition of Iris for dealing with Indian weapons is the most powerful innovation related to the security of our country. The method used for fingerprint authentication divides the identification into stages and eliminates many fake fingerprints at different stages. This saves a lot of time by maintaining a high recognition rate. Although Minutiae-based technology is widely used, it is difficult to extract features if the fingerprint image quality is poor. This paper aims to understand how the characteristics of fingerprints can be inferred. Significant advances in this field show that iris and fingerprint biometrics still require fast, real-time, reliable, and powerful algorithms for higher recognition.

Keywords: CNN(Convolutional Neural Networks), deep neural network, drowsiness, python, Iris, Hough Transform, Daugman Method, Fingerprint, Minutiae, Image Processing.

+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 Automatic Bike Washer Design and Manufacturing Prof. Sachin Vanjari, Sukanya Gaonkar, Rahul Pawar, Raghuveer Sawant Abstract- The paper consists brief information of the product; devolpment of automatic two-wheeler washing machine. This machine includes a fixed frame, movable frame, nozzles, guide rail mechanism, motor, pressure pumps, drive system. The guide rail mechanism includes gears for power transmission and motor to drive the mechanism. Power transmission through gears drive the guide rail mechanism. For cleaning the bike, the pipe frame with fix nozzles welded over it moves to and fro, this system is driven by motor. The vehicle which is being washed is placed on the ramp on the main stand of the vehicle so that there is no need of any external support. Thus, pressurize water is passed through the pipes and is sprayed over the motorcycle passing through nozzles. The tag line on basis of which we have started working on the project is 'machine for common man' looking at the prices of automatic machines in the market The portability of the product ensures an entrepreneurial development of an individual by setting a business. Key feature of the product is that it has been made for cost effective purpose.

Keywords: cost effective, nozzles, washing center, linear guide wheels Downloads: | DOI: 10.17148/IARJSET.2023.10217 How to Cite: [1] Prof. Sachin Vanjari, Sukanya Gaonkar, Rahul Pawar, Raghuveer Sawant, "Automatic Bike Washer Design and Manufacturing," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2023.10217 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: A malignant tumor with quick development and early metastatic dissemination is known as small-cell lung cancer (SCLC). Improved survival depends on early and accurate SCLC diagnosis. Accurate cancer segmentation helps medical professionals better comprehend the location and scope of cancers and make more accurate diagnoses. The YOLO framework is being utilized in this effort to both locate and categorize a lung tumor that is connected to the edge of blood vessels. The R-CNN methods presented in Part 1 mainly employ regions to localise objects within images. The network only looks at the areas ofthe image that are most likely to contain an item, not the complete picture. The biggest benefit of employing YOLO is how quick and precise it is.

Keywords: Convolutional Neural Network, Image Processing, Pooling, Median

Abstract: Chemical weathering of rocks is one of the major processes which modify the Earth's surface and is one of the major processes in the geochemical cycling of elements. Laterites are the product of intensive and long lasting tropical rock weathering which is intensified by the high rainfall and elevated temperatures, initially product of weathering are essentially Kaolinised saprolite. Weathering is a combination of processes caused by mechanical, chemical and biological disintegration of a rock upon its interaction with the atmosphere. Significantly, the scheme recognises the importance of the nature of the protolith upon the composition of the weathering product; it also requires that the weathering products are entirely the result of in situ alteration processes. Using a SiO2-Al2O3-Fe2O3 ternary diagram, four stages of alteration are recognised in the lateritisation process: (a) kaolinitisation, (b) weak lateritisation, (c) moderate lateritisation, and (d) strong lateritisation. The behaviour of major and minor elements during the development of laterites have been suitably summarised and relates the leaching and retention of a range of elements to mineral transformations in the principal horizons of the weathering profile.

Keywords: Weathering, Kaolinisation, Laterites, Minerals, Development.

Abstract: Due to the widespread use of the Internet, integration services have steadily transformed how people live their daily lives, including how they conduct business online, travel, and other things. One of the most well- liked forms of online commerce is the E-auction, which enables bidders to place direct bids on things. Regarding sealed bids, an additional transaction fee is necessary for the middlemen because they play a crucial role in facilitating trade between the buyers and sellers throughout the auction. Furthermore, it never guarantees the dependability of the third party. In order to resolve the concerns, we propose leveraging blockchain technology, which has low transaction costs, to develop smart contracts for open and sealed bids. The smart contract, first conceived in 1990 and implemented via the Ethereum system, may guarantee the bill is secure, private, unreliable, and unalterable because all transactions are recorded in the same but decentralized ledgers. The smart contract contains the following information: the address of the auctioneer, the start and end times of theauction, the deadline, the location of the current winner, and the most recent price

Abstract: One of the leading causes of cancer-related deaths globally is brain tumors. The categorization of brain tumors is a challenging scientific problem. Brain tumors come in a wide range of sizes, shapes, and intensities. It's possible for tumors from different pathological classifications to look similar. Brain tumors can be classified and diagnosed using a variety of imaging methods. Fortunately, due to its superior image quality and lack of ionizing radiation, Magnetic Resonance Imaging (MRI) is frequently used. Recent developments in deep learning have made it possible for radiologists to quickly analyse medical images using artificial intelligence (AI) techniques. In order to classify various types of brain tumors, CNN models can assist physicians and radiologists in validating their initial screening.

Keywords: Convolutional neural network , Deep learning ,Grid search, Hyper-parameter optimization, Tumor grading.

Abstract: In this project we propose a stress recognition algorithm using face images and Expressions. We proposed an algorithm that can recognize stress from images acquired with a general camera. We also Designed a CNN that receives facial landmarks as input to take advantage of the fact that eye, mouth, and head movements are different from normal situations when a person is stressed. Stress is a natural reaction to various stress inducing factors which can lead to physiological and behavioral changes. If persists for a longer period, stress can cause harmful effects on our body. The body sensors along with the concept of the Internet of Things can provide rich information about one's mental and physical health.

Keywords: CNN (Convolution Neural Networks).

Abstract: The rapid climb of online travel information imposes an increasing challenge for tourists who need to choose between an outsized numbers of travel packages to satisfy their personalized requirements. On the opposite side, to urge more business and profit, the travel companies need to understand these preferences from different tourists and serve more attractive packages. Therefore, the demand for intelligent travel services, from both tourists and travel companies, is predicted to extend dramatically. Since recommender systems are successfully applied to reinforce the standard of service for patrons during a number of fields its natural direction to develop recommender systems for personalized travel package recommendation. Our approach isn't only personalized to user's travel interest but also ready to recommend a travel sequence instead of individual Points of Interest (POIs). Topical package space including representative tags, the distributions of cost, visiting time and visiting season of every topic, is mined to bridge the vocabulary gap between user travel preference and travel routes. We map both user's and routes' textual descriptions to the topical package space to urge user topical package model and route topical package model (i.e., topical interest, cost, time and season).

Keywords: Travel recommendation, geo-tagged photos, social media, multimedia information retrieval, online interest.

Abstract: Present study demonstrates the growth of bacterial blight research publications indexed in the Web of Science for the period 1997 to 2021 (25 years). Found that total 4418 research publications with a steady growth of publications for entire study period from 1.36% (60) to 9.10% (402) publications. Relative Growth Rate (RGR) decreased from 0.74 in the year 1997 to 0.09 in the year 2020 with average Relative Growth Rate of 0.18. The Doubling Time (Dt.) of publications increased over period from 0.80 in the year 1989 to 8.31. The distribution for global literature is positively skewed for all the block periods except 2002-2006. Growth of bacterial blight literature best fits in polynomial or order 2 curves with R2 value is 0.977.

Keywords: Scientometric, Bacterial Blight; plant diseases; bibliometric; growth model.

Abstract: A petrographic analysis of Archaean greywackes from the Northern part of Dharwar region Dharwar Supegroup indicates that much of the matrix are distinctly immature rocks wit poorly-sorted angular to sub-angular grains, comprising largely quartz, feldspar and lithic fragments. They are characterised by 37.26% quartz, 8.81% feldspar, 38.61% rock fragments, 3.45% carbonates and others 1.88% average of fifteen samples. Detrital quartz, feldspar and rock fragments are observed to contribute the matrix, feldspar and rock fragments principally sericitisation. The coarse grain greywacke shows decreasing in matrix content through the succession corresponding to an increase in detrital quartz, feldspar and rock fragments content. In the investigated area phyllites, metavolcanics and bif's are also studied. More importantly puckering structures is commonly noticed in phyllites of the region.

Keywords: Dharwar, Greywackes, Detrital, Fragments, Sericitisation.

Abstract: According to one of the survey report,70% of India's population depends on the agricultural sector. A wide variety of diseases and various types of pests affect crop production, resulting in loss of quality and quantity of the yield. In current scenario farmers are opting for the option of pesticides to get rid of the pest, but the pesticides are ruining the soil quality level and effecting our environment. For this problem faced by many farmers across states the key solution is to detect the pests as early as possible and cut down the use of pesticides over vast areas and concentrate on particular areas where pest is been detected and destroy them as early as possible. Hence this paper gives a solution of such problem that is "Computer vision application in agriculture for pest control".

Keywords: pest detection, image procession, agriculture, pesticides.

Abstract: Agriculture is the backbone of our country and improving the agricultural growing demands of plants and vegetables with smart technology is the dire need of the hour. The agricultural lands have to be properly maintained with the basic necessary nutrient values in the soil. The soil have to be maintained with suitable conditions and appropriate parameters for the vegetation requirement. The integral parameters for the growth of vegetation are proper Temperature, Humidity, Light and water. The Automated Plant Communicator System Using IOT Technology is a framework which helps in sending notifications in the form of alerts to the mobile phones or electronic gadgets connected through Bluetooth Technology. The notifications are the key real time values received from the plants to analyse the moisture level of the Soil, Temperature and Light Intensity (applied for indoor plants). These indicators helps us to know the vegetation condition in one click.

Keywords: Arduino, Bluetooth, Smart phone, Temperature and Humidity sensor, Moisture sensor, LDR sensor.

Abstract: The use of Non-Fungible-Token (NFT) in online market has the potential to address a number of challenges in the field sales and purchase of products online. There are a number of problems associated with buying any product, but luxury or high-end purchases pose additional concerns regarding authenticity. Digital warranties enable customers have greater peace of mind when purchasing luxury items. Additionally, it can offer information about the item's history of purchases, its warranty, and other details. When a customer makes a transaction using our application, the NFT are sent to their account. Asset tokenization, which entails the creation of NFTs that stand in for trading assets, can be a successful strategy to combat fake goods. Digital warranties aid luxury brands in thwarting fakes. Consumers will be able to choose authentic products if these solutions become commonplace in the business and make it clear that products without a guarantee as an NFT are probably not real. On request from a few merchants, assurances will be given to franchises of luxury brands. Additionally, it offers retailers with certified imports from other nations without the express consent of the brand. Luxury brands can organize a consortium in the meanwhile to embrace digital warranty solutions and deal with the industry's counterfeiting problems. This solution is yet to gain momentum among the wider blockchain community, so the challenges persist and remain to be addressed effectively in lieu of the massive potential of the NFTs, the marketplace for which is growing rapidly.

Keywords: NFT, Blockchain, Tokens, Warranty, Marketplace, Digital Assets, Tokenization, Decentralize