SUPERVISED MACHINE LEARNING ALGORITHMS: A REVIEW
K. Sharmila
Assistant Professor, Department of Computer Science, Thiagarajar College, Madurai, India
ABSTRACT
Machine learning is a type of Artificial Intelligence (AI) that empowers a framework to gain from information programming that has been a key component of digitalization solutions. Machine Learning is a very powerful tool, used to solve real-world problems by processing large data, and manipulating, extracting and retrieving data from large real-world sources. It focuses on the development of computer programs that can read and access data and use it to learn for themselves without human intervention. In this paper, various supervised machine learning algorithms are discussed.
Keywords –Machine learning, Supervised, Regression, Classification
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ANALYSIS OF RESAMPLING TECHNIQUES ON CLASSIFICATION MODELS – A CASE STUDY
Kashika Arora¹, Ms. Yogita Punjabi², Dr. Ruchi Mathur³
¹Student, JECRC University, Jaipur, India
²Assistant Professor, Jaipur Engineering College and Research Centre, Jaipur, India
³Professor, Jaipur Engineering College and Research Centre, Jaipur, India
Keywords – Supervised learning, Machine Learning, Classification, Logistic Regression, Random Forest Classifier, Resampling.
DOI – 10.30696/JAC.XVII.2.2023.287-293
ABSTRACT
Supervised learning is one of the machine learning techniques which is broadly classified into Regression and Classification Algorithms. This paper focuses on two models Logistic Regression and Random Forest Classifier. In order to understand the effectiveness of the models, model validation, performance estimation, and addressing imbalanced datasets resampling methods can be used in conjunction with the Logistic Regression and Random Forest Classifier. Choosing and comparing the performances of various resampling methods using different data sets on both the classification models. The need for analysing the different resampling method arises as in the real-world scenarios, due to the advancement of the technology the number of variables in regression model is often too large and imbalanced. The study involves the analysis on both balance class distribution and training sets that are unbalanced.
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DEVELOPMENT OF OPTICAL BIOSENSORS FOR DIAGNOSIS OF AMYLOID- Β PEPTIDE AND GLIAL FIBRILLARY ACIDIC PROTEIN
Riddhi Garg1, Kashish Parwani2, Renu Bist*3
1,3Department of Zoology, University of Rajasthan, Jaipur, Rajasthan
2Department of Mathematics, JECRC, Jaipur, Rajasthan
Keywords – Alzheimer’s Disease, Amyloid-β peptide, Biomarker, Biosensor, GFAP, Optical Biosensor.
DOI – 10.30696/JAC.XVII.2.2023.322-333
ABSTRACT
Currently, the use of biosensors is crucial in diagnosis, monitoring progression of a disease, food safety standards, drug development and biomedical research. Physiological changes of any medical state or pathogenic process altered during disease progression are characterized by measurable indicators known as biomarkers. Neurological Disorders pose a great burden on global population because of progressive deterioration of neuronal cells such as in Alzheimer’s Disease (AD). AD is major contributor of dementia diagnosed by certain biomarkers as Amyloid-β (Aβ) peptide and Glial Fibrillary Acidic Protein (GFAP) levels in Cerebrospinal Fluid (CSF) and Blood plasma. Therefore, it is cardinal to understand some powerful analytical tools which have the capacity to identify even the smallest physiological change in sufferers’ body in the level of Aβ with great sensitivity. Since, collection of CSF via lumbar puncture is quite uncomfortable so blood based biosensing is an alternate approach for quantification, to overcome the drawbacks of routine screening programs. The detection limit of Aβ peptide and GFAP has been found in the range 2.4-3.6 pg/ml and 0.2-0.5pg/ml of plasma respectively. It is believed that optical biosensing of blood-based biomarkers of the AD in the early diagnosis of AD will prove a milestone and give a jump to the disease therapeutics.
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A STUDY OF FRACTIONAL INTEGRAL OPERATOR AND ITS IMAGE
Dr Tripati Gupta¹, Dr. Ruchi Mathur², Dr Sarita Poonia³
¹Associate Professor, Jaipur Engineering College and Research Centre Jaipur, India
²Dean First Year, Jaipur Engineering College and Research Centre Jaipur, India
³Associate Professor, Jaipur Engineering College and Research Centre Jaipur, India
Keywords – Fractional Integral operator, Multivariable H-function.
DOI – 10.30696/JAC.XVII.2.2023.301-312
ABSTRACT
On account of the importance of the fractional integral operators in the theory of integral equations, in the derivation of functional relations and other allied topics, these operators have been studied from time to time by a number of authors notably Riemann-Liouville and Weyl, Kalla and Saxena [6, 7], Kiryakova [8], Saxena and Kumbhat [11], Kalla [4, 5], Gupta and Soni [1], Jain and Sharma [3] and Jain and Agarwal [2]. A systematic account of fractional integral operators studied by various researchers has been given in the work of Srivastava and Saxena [12].
In the present paper we study a pair of a general class of fractional integral operators involving the product of general sequence of functions, Fox H-function and the H -function as their kernels. We first define and give the conditions of existence of the operators of our study and then obtain the images of multivariable H-function under these operators.
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A REVIEW ON DEPLETION OF OZONE AND ITS CLIMATIC EFFECTS
Dr. Avani Pareek, Swarnima and Abhinav Aggarwal
Assistant professor, JECRC, Jaipur, India
Keywords – Ozone Layer, U.V. Rays, Depletion of Ozone layer, climate.
DOI – 10.30696/JAC.XVII.2.2023.334-342
ABSTRACT
The presence of ozone (O3) in the stratosphere plays a crucial role in determining the survival of mankind. It acts as a barrier and soaks up most of the ultraviolet radiation emitted by the sun. It is situated at an altitude of approximately 15 to 35 kilometers from the surface of the earth. There are variances in the thickness of the ozone layer across different seasons and regions. Numerous occurrences in the areas of planets, living organisms, and the natural world rely on it. The environment is highly impacted by human actions in several scenarios. One of the consequences is damage inflicted upon the ozone layer. The objective of this article is to analyze the causative factors, processes, impacts on living organisms, and preventive measures of the depletion of the ozone layer. Halons and chlorofluorocarbons belong to the group of powerful agents that deplete the ozone layer. The rise in UV radiation reaching the earth’s surface and its consequences on both human wellbeing and the environment are among the primary reasons for the prevalent anxiety regarding the depletion of the ozone layer. It remains uncertain whether there is a possibility of ozone restoration. A comprehensive review paper was compiled by gathering information from reputable international journals, environmental reports from reputable organizations, and e-books. The gathered data was focused on investigating the effects of ozone depletion on human health.
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REVOLUTIONIZING MATHEMATICS: EXPLORING THE IMPACT OF ARTIFICIAL INTELLIGENCE
Dr. Kashish Parwani1, Aman Sain2, Roshan Kumar3, Chetan Gupta4
1Associate Professor, Department of Mathematics, JECRC College, Jaipur
2B.Tech. Student, Department of Computer Science and Artificial Intelligence, JECRC College
3B.Tech. Student, Department of Computer Science Engineering, JECRC College
4B.Tech. Student, Department of Electronics and communication Engineering, JECRC College
Keywords – Artificial intelligence, Optimization, Revolution.
DOI – 10.30696/JAC.XVII.2.2023.313-321
ABSTRACT
Mathematics has been transformed by the incorporation of artificial intelligence ai into several disciplines as has been the case in many other sciences this study examines how ai may be used in mathematics emphasising how it can improve mathematical algorithms improve problem solving skills and speed up the discovery of new mathematical ideas this research papers based on the complete working principle of ai in image processing mathematical issues can be solved more quickly and accurately by utilising ai techniques like machine learning deep learning and natural language processing which also leads to new discoveries ai algorithms can also help automate repetitive mathematical processes freeing up mathematicians to concentrate on higher level reasoning and exploratory research theorem proving mathematical optimisation data analysis and pattern recognition are only a few of the specific areas where ai has significantly improved mathematics that are covered in this paper in addition there are difficulties and moral issues furthermore the challenges and ethical considerations associated with the use of ai in mathematics are examined along with potential avenues for future research and development ultimately this research paper underscores the transformative potential of ai in mathematics paving the way for new methodologies and breakthroughs in this fundamental scientific discipline.
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SPIRO-HETEROCYCLES: SYNTHESIS & COMPUTATIONAL STUDY
Dr. Barkha Shrivastava¹, Dr. Poonam Hariyani², Rekha Vijay³
¹Associate Professor, Jaipur Engineering College & Research Centre, Jaipur, India
² Associate Professor, JECRC University Jaipur, India
³Research Scholar, JECRC University Jaipur, India
Keywords – 1,3-dipolar cycloaddition, azomethine ylides, dipolarophile, spiroheterocycles, stereoselectivity, spectral characterization, DFT calculations.
DOI – 10.30696/JAC.XVII.2.2023.343-348
ABSTRACT
Heterocycles have achieved a prominent place among various classes of organic compounds for their diverse biological and medicinal activity.
In the present paper a facile synthesis of spiroazabicycloadducts has been accomplished by [3+2] cycloaddition reaction of azomethine ylides, generated from 3-methyl cyclopentane-1,2-dione and different secondary cyclic amino acids, with electron-deficient dipolarophiles in 62-70% yield. DFT calculations have been performed to understand the stereochemical course of the cycloaddition reactions. The products have been characterized by physical and spectroscopic techniques.
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INTEGRATION OF NATURAL LANGUAGE PROCESSING WITH ARTIFICIAL INTELLIGENCE: A REVIEW PAPER
Pratham Chouhan¹, Mudit Paliwal², Dr. Tripati Gupta³
1,2 Jaipur Engineering College and Research Centre, Jaipur, Rajasthan, India
3Associate Professor, Department of Mathematics, Jaipur Engineering College and Research Centre, Jaipur, Rajasthan, India
Keywords – Natural Language Processing(NLP), Artificial Intelligence, Robotics, Speech Recognition, Machine Translation, Virtual Assistant, Android, Humanoid
DOI – 10.30696/JAC.XVII.2.2023.294-300
ABSTRACT
In Today’s World of IT there is only one constant which is moving forward and improving previous technologies and while doing so, our world came across Artificial Intelligence. With the help of Natural Language Processing (NLP) we can take the AI to next level for which one can dream of . Artificial Intelligence integrated with Natural language processing can help in achieving human’s dream of building a humanoid android. These Humanoids can help humans in many different fields like research, reaching different planets, reach to the deepest points of the world , traversing to those places in universe where humans can’t possibly go due to their limited age. These upper stated fields can be achieved by the humanoid androids . In this review paper we will analyse about AI and NLP and use them to move towards a brighter future of human race. We will also give in conclusion section the idea of the further study.
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TRACING IP ADDRESSES BEHIND VPN/PROXY SERVERS
Ms. Deepika Bansal¹, Praveen Sharma², Maidini Gautam³
¹Assistant Professor, Jaipur Engineering College and Research Centre, Jaipur, India
²Jaipur Engineering College and Research Centre, Jaipur, India
³Jaipur Engineering College and Research Centre, Jaipur, India
Keywords – Virtual Private Network(VPNs), Anonymising proxies, Transmission Control Protocol, Trained models.
ABSTRACT
Nowadays, detecting unauthorized users can be problematic for techniques that are available at present and if the nefarious actors are using identity hiding tools such as anonymizing proxies or Virtual Private Networks (VPNs). This work presents computational models to address the limitations currently experienced in detecting VPN traffic. A model to detect usage of virtual private networks (VPNs) was developed with a Multi layered perceptron neural network that was trained using flow statistics data found in the Transmission Control Protocol (TCP) header of captured network packets. Validation testing showed that the presented models are capable of classifying network traffic in a binary manner as direct (originating directly from a user’s own device) or indirect (makes use of identity and location hiding features of VPNs) with high degrees of accuracy.
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AUTOMATIC NUMBER PLATE RECOGNITION
Ms. Deepika Bansal¹, Sachin Nehra², Pratham Kabra³
¹Assistant Professor, Jaipur Engineering College and Research Centre, Jaipur, India
²Jaipur Engineering College and Research Centre, Jaipur, India
³Jaipur Engineering College and Research Centre, Jaipur, India
Keywords – ANPR, AI vehicle identification, optical character recognition, Character Recognition, Security.
ABSTRACT
Automatic Number Plate Recognition (ANPR) is a picture process technology that uses Number (license) plate to spot the vehicle. the target is to style associate degree economical automatic approved vehicle identification system by victimization the vehicle Number plate. The system is enforced on the doorway for security management of an extremely restricted space like military zones or space around high government offices e.g., Parliament, Supreme Court etc. The developed system initial detects the vehicle then captures the vehicle image. Vehicle Number plate region is extracted victimization the image segmentation in a picture. Optical character recognition technique is employed for the character recognition. The ensuing information is then wont to compare with the records on a information thus on come back up with the precise data just like the vehicle’s owner, place of registration, address, etc. The system is enforced and simulated in Matlab, and its performance is tested on real image. it’s ascertained from the experiment that the developed system with success detects and acknowledge the vehicle Number plate on real pictures.
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IMPACT OF ONLINE GAMING
Gaurav Khandelwal¹, Aryan verma², Deepika Bansal³
¹Jaipur Engineering College and Research Centre, Jaipur, India
²Jaipur Engineering College and Research Centre, Jaipur, India
³Assistant Professor, Jaipur Engineering College and Research Centre, Jaipur, India
Keywords – Inordinate Gaming, Dependence, Internet Games, Children, Adolescents, Social Interaction.
ABSTRACT
Developed countries have Formerly acclimated to the changes that come with it. India society is new to this request and still constructing news schemas and relating preliminarily learnt generalities with it contemporaneously. Indian society’s former schemas are negative toward gaming. The old generation thinks it’s a time extravagant exertion. It’ll take time for new schemas to replace old schemas and it’ll be from positive gets . As online gaming is new to youthful Indians as well. They know that they need to control themselves to function well in their class which is why they only play games during recesses and weekends with a lot of time compared to when they’ve classes.
Indeed though they play online games; they know how to fraternize well and they can perform veritably well when it comes to academic performance. still, it’s ineluctable not to play indeed for half an hour especially when they’re habituated to it. thus, it’s just a matter of discipline.
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REVIEW ON FINDING IMPACT OF ONLINE GAMES
Harshit Tiwari¹, Devansh Agarwal², Ms. Kusum Yadav³
¹Student, Department of Information Technology, JECRC, Jaipur, India
²Student, Department of Information Technology, JECRC, Jaipur, India
³Assistant Professor, Department of Information Technology, JECRC, Jaipur, India
Keywords – cognitive ability, internet gaming disorder, video games, FPS, positive, negative.
ABSTRACT
Online games have had a significant impact on both individuals and society as a whole. To find the impact certain methods are involved such as surveys, interviews, observations, longitudinal surveys. Additionally, some research has suggested that certain types of online games can improve cognitive function and problem-solving skills. The findings of the review reveal that excessive online gaming can lead to addiction, depression, and social isolation. This paper focuses on defining the framework of study and getting deep dive in behavioural domains. Overall, this paper provides a comprehensive overview of the current state of research on the impact of online gaming and what areas to continue one future researches.
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REVIEW ON VEHICLE NUMBER PLATE RECOGNITION USING
EXISTING SURVEILLANCE CAMERAS
Mr. Samay Gupta¹, Manas Sharma², Ms. Kusum Yadav³
¹Student, Department of Information Technology, JECRC, Jaipur, India
²Student, Department of Information Technology, JECRC, Jaipur, India
³Assistant Professor, Department of Information Technology, JECRC, Jaipur, India
Keywords – Video Survillance, Licence Plate, Detection, Wpod-Net, ANN Algorithm.
ABSTRACT
The Video surveillance systems are frequently used for safety and tracking purposes. But spotting moving things in video surveillance is a challenge. Human activity identification and monitoring has increased recently due to the recent decline in price of high-quality video surveillance systems. As a result, automated systems were developed for a number of detecting tasks, but finding vehicles that were parked illegally has mostly been the responsibility of the human operators of surveillance systems. The version uses Wpod-Net to locate the licence plate in the picture or video, and the ANN algorithm was applied to ascertain a person’s reputation using the found registration code. The detected licence plate is stored in the database.
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REVIEW ON DEVELOPMENT IN ELECTRIC VEHICLE CHARGING STATION INFRASTRUCTURE
Rishabh Jain¹, Naman Sharma², Ms. Kusum Yadav³
¹Student, Department of Information Technology, JECRC, Jaipur, India
²Student, Department of Information Technology, JECRC, Jaipur, India
³Assistant Professor, Department of Information Technology, JECRC, Jaipur, India
Keywords – Electric vehicle, charging station, EV charging Station, smart charging, charging infrastructure.
ABSTRACT
The transportation area of the world is in the change stage, moving from regular petroleum product fueled vehicles to nothing or super low tailpipe discharge vehicles. To help this change, a legitimate charging station (CS) foundation in blend with data innovation, shrewd conveyed energy creating units, and good government strategies are required. The intention of this paper is to address the vital perspectives to be dealt with while anticipating the charging station foundation for electric vehicles. The paper additionally gives significant indagation and advancements in arranging and mechanical angles that are happening for the upgrade of the plan and productive administration of charging station framework. The paper tends to the current situation of India connected with electric vehicle charging station advancements. The paper uncommonly gives a basic survey on the exploration and improvements in the charging station framework, the issues related with it, and the endeavors that are happening for its normalization to assist the specialists with resolving the issues.
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CHATBOTS FOR FAQ
Shashank Maheshwari¹, Rohit Khandelwal², Ms. Kusum Yadav³
¹Student, Department of Information Technology, JECRC, Jaipur, India
²Student, Department of Information Technology, JECRC, Jaipur, India
³Assistant Professor, Department of Information Technology, JECRC, Jaipur, India
Keywords – Chatbot, FAQ, NLP, Chatbot Architecture.
ABSTRACT
Chatbot is a product application used to direct an on-line talk discussion by means of text or text-to-discourse, inrather than giving direct contact a livehuman.A FAQ (Frequently Asked Questions) chatbot is a sortof web bot or programmingapplication that is valuable for responding to the absolute most often posed inquiries yourclients might have. FAQ bots assist with guiding clients to the right site pages and give answers effectively any season of theday. The paper addresses the present scenario of bots for FAQs. In this paper we provide a review on research and development on FAQ chatbots.
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AN OVERVIEW ON ADVANCEMENTS IN WEATHER FORECASTING
Deeksha Gupta¹, Ananya Jain¹, Lalit Kumar Sharma²
¹UG Student, Jaipur Engineering College and Research Centre, Jaipur, Rajasthan, India
²Associate Professor, Jaipur Engineering College and Research Centre, Jaipur, Rajasthan, India
Keywords – IoT, Machine Learning, Weather Forecasting.
ABSTRACT
The system proposed in this paper is an advanced solution for monitoring the weather conditions at a particular place and make the information visible anywhere in the world. The technology behind this is Internet of Things (IoT), which is an advanced and efficient solution for connecting the things to the internet and to connect the entire world of things in a network. The data updated from the implemented system can be accessible in the internet from anywhere in the world.
In agriculture zone it will be very difficult to check and monitor the weather parameter through wires and analog devices during some weather hazards.
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UNVEILING CUSTOMER SEGMENTATION: A COMPREHENSIVE ANALYSIS AND PRACTICAL APPLICATIONS
Abhay Sharma¹, Aditya Goyal¹, Lalit Kumar Sharma²
¹UG Student, Jaipur Engineering College and Research Centre, Jaipur, Rajasthan, India
²Associate Professor, Jaipur Engineering College and Research Centre, Jaipur, Rajasthan, India
Keywords – Customer segmentation, K- means algorithm, Machine Learning.
ABSTRACT
Nowadays Customer segmentation became very popular method for dividing company’s customers for retaining customers and making profit out of them, in the following study customers of different of organizations are classified on the basis of their behavioral characteristics such as spending and income, by taking behavioral aspects into consideration makes these methods an efficient one as compares to others. For this classification a machine algorithm named as k-means clustering algorithm is used and based on the behavioral characteristic’s customers are classified. Formed clusters help the company to target individual customer and advertise the content to them through marketing campaign and social media sites which they are really interested in.
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A REVIEW: ENVIRONMENTAL AWARENESS
¹Naveen Kumar Kedia, ²Dr. U.K. Pareek ,³Aditya Jaiswal, 4Abhay Sharma
¹Assistant Professor, Department of Information Technology, JECRC College
²Professor, Department of Mathematics, JECRC College
³B.Tech Student, Department of Information Technology, JECRC College
4B.Tech Student, Department of Information Technology, JECRC College
Keywords – Customer segmentation, K- means algorithm, Machine Learning.
ABSTRACT
Nowadays, a big part of people rely on available email or messages sent by the stranger. The possibility that anybody can leave an email or a message provides a golden opportunity for spammers to write spam message about our different interests. and income, by taking behavioural aspects into consideration makes these methods an efficient one as compares to others. Steals useful information like our details on our contact list. Identifying these spammers and also the spam content can be a hot topic of research and laborious tasks. Email spam is an operation to send messages in bulk by mail .Since the expense of the spam is borne mostly by the recipient ,it is effectively postage due advertising. Spam email is a kind of commercial advertising which is economically viable because email could be a very cost effective medium for sender.
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MONEY PAD
¹Naveen Kumar Kedia, ²Jaanvi Pandey ,³Khushi Vijay
¹Assistant Professor, Department of Information Technology, JECRC College
²B.Tech Student, Department of Information Technology, JECRC College
³B.Tech Student, Department of Information Technology, JECRC College
Keywords – Biometrics Technology, Fingerprint Reader, Money Pad, Digital or Electronic Cashor Digi- cash or E-cash or E-Cash or Digital Money.
ABSTRACT
The unborn portmanteau holds lower paper cash coins and glamorous stripe cards but it holds a plutocrat pad which contains digital cash and other fiscal data alsoupdates it automatically. Electronically initiated benefit and credit cards will become the mode of payment, just as now everything we use is shadowed” e”, themoment we’ve paper currency that’s also replaced by electronic plutocrat ore-cash or digital cash. The plutocrat Pad introduced then uses the biometric technology for point recognition.
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CAREER GUIDANCE SYSTEM
¹Naveen Kumar Kedia, ²Dr. U.K. Pareek ,³Prabhav Bhargava, 4Ishan Mittal
¹Assistant Professor, Department of Information Technology, JECRC College
²Professor, Department of Mathematics, JECRC College
³B.Tech Student, Department of Information Technology, JECRC College
4B.Tech Student, Department of Information Technology, JECRC College
Keywords – Data Mining, Career, Education, Web Development, k-means.
ABSTRACT
In moment’s world selection of the right career is veritably important. It is a veritably complicated and difficult task for the scholar. While choosing the right bone should suppose with respect to their chops, area of interest, capacities and capabilities. This isn’t as simple a task as it sounds, as utmost of the scholars get confused. Our application is a solution for all these problems. It’s an approach to give proper guidance to the scholars by recommending them careers after 10th and 12th grade. The scholar saree valuate done the base of the aptitude test and a proper career guidance is given to them to achieve the heights of success in their life. In this system we’ve used different data mining algorithms for better visualization.
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A REVIEW PAPER ON PYTHON FOR DATA SCIENCE
AND MACHINE LEARNING
¹Naveen Kumar Kedia, ²Hitesha Kumari ,³Sonal Mundra
¹Assistant Professor, Department of Information Technology, JECRC College
²B.Tech Student, Department of Information Technology, JECRC College
³B.Tech Student, Department of Information Technology, JECRC College
Keywords – Python, Machine Learning (ML), Machine Learning Algorithms (MLA), Artificial Intelligence (AI), Supervised Learning, Unsupervised Learning, Reinforcement Learning, Framework, Django.
ABSTRACT
This paper is based on machine learning activities using the Python programming language. There are different machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning. They already exist in the field of computer programming. In addition to these algorithms, there is another deep learning algorithm that plays an important role in machine learning devices and is part of machine learning methods. Deep learning can be used to intelligently analyze data at scale.
This paper examines how Python can be applied to ML methods. A comprehensive overvie of affected subjects was published in the study. His current research paper examines the history of machine learning, the methods used in machine learning, and its applications in various areas of AI. The purpose of this study is to impart his machine learning knowledge in various areas of AI. Knowledge of artificial intelligence (AI) is very important in machine learning (ML).
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ENERGY CONSERVATION USING MODERN TECHNOLOGY
Kirty Gupta, Naman Goyal, Piyush Gautam
Information Technology Department, Jaipur Engineering College and Research Centre, Sitapura, Jaipur, Rajasthan, India
Keywords – Energy Conservation, Blockchain.
ABSTRACT
The looming energy crisis impacts every area of the global economy. The sheer requirement for energy conservation has compelled experts to apply automation to the power sector. There is a need to put in place mechanisms that can reduce energy losses and allow customers to buy and sell extra electricity. The Internet of Things (IOT) is actively involved in energy conservation in the field of energy and electricity. Smart grids are used to improve transmission efficiency. When combined with smart grids, blockchain technology has the potential to reduce energy waste and increase efficiency. Based on smart grids and blockchain, this research offers as mart energy metre.
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NOVEL SELF LOCALIZATION PROCEDURE FOR WIRELESS SENSOR NETWORKS
Pramod Kaler¹ and Dr Raghwendera Patidar²
¹Research Scholar, Singhania University, Jhunjhunu ( Raj )
Email : rohit86kumar19@gmail.com
²Professor Computer Science Engineering Department, Singhania University, Jhujhunu, India
Keywords – Range, Wireless Sensor Network (WSN), Sensor Node, Beacon nodes, Minimization.
ABSTRACT
In this paper, a novel self-localization procedure for wireless sensor networks is accessible. Due to errors in calculating universal coordinates and inappropriate relative pairwise distance assessment, the errors in the appraisal of localization may happen. Minimization of these errors is necessary for effective localization arrangements. In irregular or sparse networks, the earlier proposed DV-Hop positioning procedure shows poor accuracy and not effective. To avoid the weaknesses of this procedure, in this work an enhanced DV-Hop procedure for self- localization (EDVHPSL) is proposed. The anticipated EDVHPSL method delivers improvement in results in relations of localization error. MATLAB simulations have been performed to implement the proposed EDVHPSL by changing the benchmark parameters during simulation process. The parameters are number of beacon nodes, range, number of sensor nodes and hop count.
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A NOVEL METHOD TO DESIGN MULTIRATE FILTER BANKS USING BROYDEN-FLETCHER-GOLDFARB-SHANNO (BFGS) OPTIMIZATION
Rohit Kumar¹ and Dr Raghwendera Patidar²
¹Research Scholar, Singhania University, Jhunjhunu ( Raj )
Email : rohit86kumar19@gmail.com
²Professor Computer Science Engineering Department, Singhania University, Jhujhunu, India
Keywords – Quadrature mirror filterbank, Broyden-Fletcher-Goldfarb-Shanno method, Peak reconstruction error, Linear phase.
ABSTRACT
This paper proposes anew technique for the design of multirate filter banks with linear phase in frequency domain. To match the ideal system response, low-pass analysis prototype filter response is optimized to minimize an objective function. The objective function is formulated as a weighted sum of pass-band error and stop-band residual energy of low-pass analysis filter, the square error of the overall transfer function at the quadrature frequency and amplitude distortion of the filter bank. Broyden-Fletcher-Goldfarb-Shanno (BFGS) method is used to minimize the objective function by optimizing the filter tap weights of the prototype filter. Simulation results show that the proposed method is able to perform better than other existing methods.
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WEB 3 AND TECHNOLOGIES BASED ON IT
Amit Yadav¹, Abhijeet Choudhary², Preeti Sharma³
¹Jaipur Engineering College and Research Centre, SitaPura, Jaipur, Rajasthan, India
²Jaipur Engineering College and Research Centre, SitaPura, Jaipur, Rajasthan, India
³Assistant Professor, Jaipur Engineering College and Research Centre, SitaPura, Jaipur, Rajasthan, India
Keywords – Cryptographic Currency, Bitcoin, Bitcoin Protocol, Blockchain, SHA256 Hash Algorithm.
ABSTRACT
This research paper provides a concise overview of Web 3 and the technologies based on it. Web 3, the decentralized web, integrates decentralization and block chain technology into internet architectures. Key components, such as decentralized data storage, smart contracts, decentralized identity, and decentralized finance, are explored. Practical applications in data security, automation, privacy, and finance are discussed. The paper highlights challenges such as scalability and regulatory frameworks while emphasizing on-going efforts to address them. Web 3 represents a transformative shift in internet architecture, enabling enhanced user empowerment and redefining traditional online systems.
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ENERGY CONSERVATION- A CASE STUDY
Ms. Preeti Sharma¹, Divesh Maheshwari², Akshat Jain³
¹Assistant Professor, Jaipur Engineering College and Research Centre, SitaPura, Jaipur, Rajasthan, India
²Jaipur Engineering College and Research Centre, SitaPura, Jaipur, Rajasthan, India
³Jaipur Engineering College and Research Centre, SitaPura, Jaipur, Rajasthan, India
Keywords –
ABSTRACT
Energy is veritably important in the entire process of elaboration, growth and survival of the world. The adding energy demand has an adverse effect on the terrain and also an adding pressure for a government. For adeveloping country like India, the energy measures decide the growth of the country. Being the third largest power patron in the world, energy demand and failure ruins thecountry. Energy demand in our country is adding exponentially. Energy conservation can be the stylish result for the raising energy demand. Energy conservation is reducing the energy consumption by using lower of an energy service. One of the important ways of to ameliorate the energy conservation is energy inspection. Energy conservation without compromising the operation is a great task. The paper focuses on the significance of energy conservation by considering the loads of a class room ofan educational institution and considering the energy consumed by the present loads and recommending energy effective appliances and an effective yet simple detector- grounded model to reduce the energy consumption and comparing the results.
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AUTONOMOUS VEHICLES
Ms. Preeti Sharma¹, Brijnandan Meena², Vaibhav Lakhwat³
¹Assistant Professor, Jaipur Engineering College and Research Centre, SitaPura, Jaipur, Rajasthan, India
²Jaipur Engineering College and Research Centre, SitaPura, Jaipur, Rajasthan, India
³Jaipur Engineering College and Research Centre, SitaPura, Jaipur, Rajasthan, India
Keywords – Autonomous buses, detector technologies, carbon emigration, LIDAR, impacts, operations.
ABSTRACT
Autonomous vehicles also commonly known as driverless or Tone- driving vehicles, are motorcars that bear no mortal involvement for operating or controlling them. In recent times, advancement in automated vehicle generalities has progressed but still some mortal input is needed, depending upon the position of robotization. Experts anticipate that motorcars will be able of driving themselves within 3-7 times. This paper describes current status, recent trends and exploration of tone- driving vehicles in the machine assiduity. A detailed analysis of the technologies used by automated vehicles to smell their terrain and the position ofrobotization in similar vehicles is also included. The anticipated short- term and long-term, positive and negative, salutary and dangerous impacts of driverless technology similar as hothouse gas emigration, energy consumption etc. are assessed. As wide relinquishment of tone- driving vehicles is considered to be ineluctable, thus demand of certain specialized and legal guidelines will be essential for safe and pressure-free trip. The implicit enterprises regarding independent vehicles must be discarded with safe programs and technologies as bandied in the paper.
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A REVIEW: ENVIRONMENTAL AWARENESS
¹Dr. Rekha Mithal, ²Mr. Amit Mithal
¹Professor, Department of Chemistery, JECRC Jaipur
²Associate Professor, Department of Computer Science, JECRC Jaipur
Keywords –
ABSTRACT
This paper mainly focused on environmental awareness and practices related to various factors like causes of pollution, conservation of soil, forest, air, etc., energy conservation, conservation of human health, conservation of wild life and animal husbandry. It also discusses environmental practices among college students with regard to the usage of plastic and its disposal, alternative for plastic, toilet usage, its use in the cultivation of saplings, rainwater harvesting and also their participation in environment related programmes. The target was college students because environmental education is part of their curriculum; they can implement what they learnt. This study will support those who are working with for the environment related cases. The study is quantitative in nature. It reveals that the level of awareness is high among the respondents irrespective of gender difference but in practice level there is difference between genders i.e. males practicing more than females. This study also proposes some recommendations to safeguard the environment in India.
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MICRO PLASTICS IN WASTE WATER TREATMENT
PLANTS: DETECTION, OCCURRENCE, AND REMOVAL
1Dr. Rekha Mithal, 2Mr. Amit Mithal, 3Arin Jain, 4Anuj Kumar
1Professor, Department of Chemistery, JECRC Jaipur
2Associate Professor, Department of Computer Science, JECRC Jaipur
3First Year student, JECRC Jaipur
4First Year student, JECRC Jaipur
Keywords –
ABSTRACT
Microplastics in wastewater treatment plants (WWTPs) have become a growing concern in recent years due to their persistence in the environment and potential harm to human health and wildlife. The presence of Microplastics in wastewater treatment plants (WWTPs) is increasingly recognized, and this review paper summarizes the current state of knowledge on Microplastics in (WWTPs), including their sources, oc-currence, removal efficiency, and potential consequences. The paper highlights the need for further research to fully understand the impact of Microplastics on (WWTPs) and the environment.
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IOT BASED VEHICLE MOUNTED WEIGHT SENSORS
Md. Rizwan Khan¹, Aaftab Khan², Ashutosh Sharma³
1Assistant Professor, Jaipur Engineering College & Research Center, Jaipur, India
2Student, Jaipur Engineering College & Research Center, Jaipur, India
3Student, Jaipur Engineering College & Research Center, Jaipur, India
Keywords – Internet of Thing(IoT), IoT Weight Detectors, IoT Transportation System, Block Chain, Sensors, Cloud Computing service.
ABSTRACT
Since most goods trucks in the developing world are overburdened with cargo, this issue needs to be managed intelligently. The Internet of Things (IoT) and smart sensors, which are cutting-edge technology, can be used to do this. The advantage of this system is that additional goods or loads cannot be added while trucks are in motion; if additional goods are added, government agencies can be notified immediately and in real-time, or the weight on the trucks can be monitored by the central government organisation. In this paper, we propose weight mounted sensors can dynamically give an accurate inputs about weight variation. This essay will offer an Internet and smart sensor integration.
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NETWORK MONITORING AND ANALYSIS USING PACKET SNIFFING
Md. Rizwan Khan¹, Jirin Jain², Dhruv Shringi³
¹Assistant Professor, Jaipur Engineering College & Research Center, Jaipur, India
²Student, Jaipur Engineering College & Research Center, Jaipur, India
³Student, Jaipur Engineering College & Research Center, Jaipur, India
Keywords – Packet capturing, Traffic analysis, Network Monitoring, NIC, switched environment, non-switched environment, Network analyzer, Packet sniffer.
ABSTRACT
In the past decades computer network have kept up growing in size, complexity and along with it the number of its user is also being increased day by day. For complex network it’s very tough task to maintain and monitor the network, because large amount of data available. For this purpose, packet sniffer is used. Packet sniffing is important in network monitoring to troubleshoot and to log network. Packet sniffers are useful for analysing network traffic over wired or wireless networks. This paper focuses on packet sniffer working in different environments, Behaviour of already existing sniffer; their problems and challenges while performing sniffing.
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MOVING VEHICLE REGISTRATION PLATE DETECTION
Md. Rizwan Khan¹, Ravindra Anchara², Manas Gaur³
¹Assistant Professor, Jaipur Engineering College & Research Center, Jaipur, India
²Student, Jaipur Engineering College & Research Center, Jaipur, India
³Student, Jaipur Engineering College & Research Center, Jaipur, India
Keywords – ANPR, AI vehicle identification, optical character recognition, Character Recognition, Security.
ABSTRACT
Automatic Number Plate Recognition (ANPR) a picture-processing system, uses the vehicle’s number plate to identify it. The goal is to provide an affordable automatic approved vehicle identification system using the licence plate of the car. For the security management of a highly limited area, such as military zones or the area surrounding important government buildings, such as Parliament, the Supreme Court, etc., the system is enforced on the doorway. The devised technology first detects the car and then takes a picture of it. Using image segmentation in a picture, the vehicle number plate region is extracted. Character recognition is done using an optical character recognition approach. The resulting data is then used to compare with records on a data to produce accurate information such as the owner of the car, the location of registration, the address, etc. The system is implemented, simulated, and evaluated using real images in Matlab. The experiment shows that the created algorithm successfully recognises and detects the car number plate on genuine photos.
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COVID-19 TESTING MANAGEMENT SYSTEM USING PHP AND MYSQL
Naveen Kedia¹, Md. Rizwan Khan², Shubhanshu Garg³
¹Assistant Professor, Jaipur Engineering College & Research Center, Jaipur, India
²Assistant Professor, Jaipur Engineering College & Research Center, Jaipur, India
³Student, Jaipur Engineering College & Research Center, Jaipur, India
Keywords – Cloud computing, load balancing, swarm based algorithms, quality of services (QoS), distributed computing, ant colony optimization (ACO), artificial bee colony algorithm (ABC), resource allocation, computation energy, virtual machine (VM).
ABSTRACT
Technical meaning of cloud computingis distributed computing, storing, sharing and accessing data over the Internet. It provides lots of shared resources to the users available on the basis ofpay as you go service, means users pay only for those services which are used by him according to their access times. The data processing and storage amountis increasing very fast day by day in cloud environment. This leads to an uneven distribution of overall work on cloud resources. There are different scheduling algorithms which are already present in the cloud computing, and some of them include the Shortest Job First (SJF), First Come First Serve (FCFS), Round Robin (RR) etc. Though there are different parameters to consider when load balancingin cloud computing, make span (time difference between start time of first task and finish of last task on the same machine) and response time are the most important parameters. To get the better of load balancing problem this paper provides a summary of evolutionary and swarm based algorithms which will help to get control of such problem in different environment of cloud.
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INTEGRATED INFORMATION PLATFORM FOR INFORMATION ABOUT
INDIAN UNIVERSITIES
Rohit Chhabra¹, Pranjal Jain², Kushal Gera³
¹Assistant Professor, Jaipur Engineering College and Research Centre, Jaipur, India
²Jaipur Engineering College and Research Centre, Jaipur, India
³Jaipur Engineering College and Research Centre, Jaipur, India
Keywords – Integrated University Information System, Strategic Connectivity, Physical Connectivity, Logical Connectivity, Organizational Connectivity.
ABSTRACT
Nowadays, universities are highly in need of an integrated university information system (IUIS) to increase the efficiency and effectiveness of the business processes in university administration which are eventually getting complicated due to an increase in this need. For this purpose, firstly literature survey has been done on connectivity issues and best practices of IUIs. The target architecture for an integrated information system whose principle is the coupling of existing systems and the definition of global views on them. The services defined on those views can be used for high-level information services in the web or for the definition of workflows in the university administration. In terms of system architecture, development tools, functional modules, and database design, and the core module of training program making in postgraduate training management was highlighted as an example to discuss the principles and methods in the construction of departmental business systems and informatization under the digital campus environment.
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CAREER GUIDANCE USING AI
Rohit Chhabra1, Khushi Nandwana2, Chahak Khandelwal3, Khushi Jain4
1Assistant Professor, Jaipur Engineering College and Research Centre, Jaipur, India
2Jaipur Engineering College and Research Centre, Jaipur, India
3Jaipur Engineering College and Research Centre, Jaipur, India
4Jaipur Engineering College and Research Centre, Jaipur, India
Keywords – Career Guidance, Persona, Artificial Intelligence, data, Higher Education.
ABSTRACT
A person’s career is a crucial aspect of their life. However, given the intense competition in today’s market and the rigid preconceptions that permeate society, students frequently make hasty job decisions. These frustrations may intensify as a result of employment. The revelations brought to light a few key ideas around which the brief was constructed. Personas were developed for the parents and pupils who would benefit from the solution. Following that, further ideation required coming up with features under each of the key elements from the brief that would meet the needs of the users. In the end, a chatbot would serve as the primary point of contact for the mobile and web-based application that would serve as the solution.
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A STUDY ON VOTING SYSTEM THROUGH FACE RECOGNITION
Rohit Chhabra1, Mohit Gupta2, Hemant Singh Rathor3
1Assistant Professor, Jaipur Engineering College and Research Centre, Jaipur, India
2Jaipur Engineering College and Research Centre, Jaipur, India
3Jaipur Engineering College and Research Centre, Jaipur, India
Keywords – Image Processing, Python, Voting System, Face Recognition, MySQL, OTP.
ABSTRACT
The principal objective of this framework is to give a web based casting a ballot framework that will support lessening misrepresentation in manual democratic frameworks and prior cycles of internet casting a ballot that involved a webcam for face acknowledgment and OTP age. For electors who can’t make a trip to the democratic spot, we are likewise presenting an area free democratic strategy (old neighborhood). Here, we furnish a framework with many degrees of confirmation, including face check and OTP check with approval information, to ensure the gadget’s constancy. Every citizen can get to the framework subsequent to being recognized and checked against the gave information base of enrolled electors. The elector will actually want to continue on with choosing their picked competitor from the board after the coordinating face is coordinated with the information given.
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MOVING VEHICLE REGISTRATION PLATE DETECTION
Harshit Agarwal¹, Shikha Shrivastava²
¹Student, Department of Information Technology, JECRC, Jaipur, India
²Assistant Professor, Department of Information Technology, JECRC, Jaipur, India
Keywords –Vehicle detection, recognition, feature extraction, License plate recognition, Database. Image processing, VLPR, recognition, feature extraction, Optical Character Recognition, Plate Localization
ABSTRACT
Implementing traffic regulations and recommendations among street users is a huge challenge because of the growing population, which is currently estimated to reach 8 billion people, and their increasing reliance on vehicles for transportation. A robotized framework that screens the drivers using a pre-defined sense of knowledge is necessary for this. It is necessary to use a Moving Vehicle Identification and Acknowledgment Calculation, which automates access to key information from data frameworks holding and monitoring information bases on vehicles and their advances, to a number plate. This article provides data on calculations that analyse number plate regions, focus and fragment character sets, and finally recognise an enrolment number from a vehicle image. The Picture Handling Tool Kit is used in MATLAB programming. Moving automobiles can be acknowledged by their licence plates using Egyptian tags. The characters’ highlights are then extracted by the framework from a computerised camcorder’s captured image. Then, it uses a convolution brain organisation to match the plate’s numbers and letters. Finally, the design that complemented the data base and the characters removed from the vehicle picture was connected to recognise an alphanumeric person to understand the car enrolment number.
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REVIEW ON ENERGY CONSERVATION
Anshul Khandelwal¹, Abhishek Singh Rathore², Shikha Shrivastava³
¹Student, Department of Information Technology, JECRC, Jaipur, India
²Student, Department of Information Technology, JECRC, Jaipur, India
³Assistant Professor, Department of Information Technology, JECRC, Jaipur, India
Keywords – Energy, Environmental, Modernized, Deterioration.
ABSTRACT
The primary forces behind economic growth and the maintenance of a high level of employment are energy and the entire infrastructure that surrounds it. Here, as part of a larger study on the global energy industry, we assess how technological advancements have affected the condition of the energy infrastructure. The global issues that the energy business is currently facing are thoroughly examined in this paper. With an evaluation of the entire energy system, we offer scenarios for the development of a modernized energy infrastructure. Our evaluation indicators are chosen based on the energy infrastructure’s dependability, quality, potential for accidents, and associated environmental concerns. This study is especially well-suited for predicting the essential actions (of a technical nature, of governance) .
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A STUDY ON SCREENLESS DISPLAY
Harsh Singhal¹, Harsh Gupta², Shikha Shrivastava³
¹Student, Department of Information Technology, JECRC, Jaipur, India
²Student, Department of Information Technology, JECRC, Jaipur, India
³Assistant Professor, Department of Information Technology, JECRC, Jaipur, India
Keywords – Voice, foot, hand, hologram, LCD, and screenless.
ABSTRACT
This paper discusses the newly developed screenless display technology. In the near future, this technology shows potential for a wide range of applications. It deals with using a projector to display a variety of items without the use of screens, as the name suggests. There are three different operating philosophies at play: the retinal display, the synaptic connection, and the visual image. This study mainly describes and illustrates the operation of screenless displays as well as some of the scientific fields in which they are applied. This technology would revolutionise the market for pricy, enormous, and notoriously difficult to control panels and monitors.
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5G IN AGRI-FOOD
Surya Sharma¹, Saurabh Pandey², Shikha Shrivastava³
¹Student, Department of Information Technology, JECRC, Jaipur, India
²Student, Department of Information Technology, JECRC, Jaipur, India
³Assistant Professor, Department of Information Technology, JECRC, Jaipur, India
Keywords – Smart farming, Precision Agriculture, Computer Application, Remote Sensing.
ABSTRACT
The digital transformation trend in agriculture and food systems, which is supported by ongoing technical innovation and therefore rising property capability, can lead to the development of autonomous tractors, spraying drones, AI, and fully autonomous farms. These futuristic scenarios are dispelled by 5G’s capabilities, which come after 4G and allow for high information transfer volumes and low latency, which may have a number of beneficial effects for technology applications in agri-food, like the Internet of Things (IoT) and Blockchain. The 5G project has made significant progress all across the world, from South Korea to Australia and Europe. This review discusses the benefits and drawbacks of 5G for the agri-food industry. Adopting automation and data-driven methods is the fundamental technology of intelligent management.
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PROBLEM OF SEWAGE BLOCKAGE
Priyanshi Jangid¹, Prerna Pareek², Dr. S. K. Singh³
¹B.Tech Student, Department of Information Technology, JECRC College
²B.Tech Student, Department of Information Technology, JECRC College
³Profesoor, Department of Information Technology, JECRC College
Keywords – IOT, sewage Monitoring, Arduino.
ABSTRACT
Monitoring of sewage system is important to keep the city clean. The uneven monitoring of sewage system leads to blockage of the drainage. Blockages in sewers are major causes of both sewer flooding and pollution. In order to manage sewer blockage proactively sewer managers need to be able to identify the location of blockages promptly. The main aim of this study is to make comparative analysis on sewage maintenance system done by various researchers in the past.
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CONTROLLING SCREEN TIME FOR CHILDREN
Radhika Sikarwar¹, Nihal Heran Jain², Dr. S. K. Singh³
¹B.Tech Student, Department of Information Technology, JECRC College
²B.Tech Student, Department of Information Technology, JECRC College
³Profesoor, Department of Information Technology, JECRC College
Keywords – Artificial Intelligence, Virtual Reality
ABSTRACT
Children and youth’s time spent in front of screens – such as televisions, computers, tablets, gaming consoles, and smart phones – continues to increase. This pervasive sedentary behaviour has raised concerns among parents, health care professionals, educators, and researchers about the effects of screen time on young people’s well- being. Increased screen time (ST) has been linked with unfavourable body composition, higher cardio metabolic risk, unfavourable behavioural conduct, lower fitness, and lower self-esteem in children. Considering this evidence, expert groups (e.g., the Canadian Society for Exercise Physiology).
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A GRAPHICAL PASSWORD AUTHENTICATION SYSTEM
Sparsh Mittal¹, Shyam Garg², Dr. S. K. Singh³
¹B.Tech Student, Department of Information Technology, JECRC College
²B.Tech Student, Department of Information Technology, JECRC College
³Profesoor, Department of Information Technology, JECRC College
Keywords – Security, scalability, passwords interoperability
ABSTRACT
Graphic passwords are a powerful alternative to traditional alphanumeric passwords. They are attractive because people usually remember pictures better than words. This high-level summary proposes a simple graphical password authentication system. We will use some examples to explain how it works and highlight important aspects of the system.
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COMPARATIVE ANALYSIS OF COVID-19 CASES USING DEEP LEARNING ALGORITHMS
Dr. Smita Agrawal¹, Shreya Kothiwal², Aditi Shrama³
¹Professor, Department of Information Technology, JECRC College
²B.Tech Student, Department of Information Technology, JECRC College
³B.Tech Student, Department of Information Technology, JECRC College
Keywords – COVID-19, deep learning, machine learning, WHO
ABSTRACT
The novel human coronavirus disease 2019 (COVID- 19) was first reported in Wuhan, China, in 2019, and subsequently spread globally to become the fifth documented pandemic since the 1918 flu pandemic. On the 11th of March, 2020, COVID-19 was declared a pandemic by the WHO. COVID-19 rapidly transformed from being a severe problem seemingly confined to China, to a global health emergency almostovernight. By September 2021, almost two years after COVID-19was first identified, there had been more than 200 million confirmed cases and over 4.6 million lives lost to the disease. During that period various researchers conducted research and developed prediction models to predict COVID-19 cases all over the world using deep learning algorithms. The objective of this study is to perform a comparative analysis on the prediction models to predict the growth of COVID-19. The prediction accuracies are to be compared and, accordingly, the most suitable model is selected.
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FORECASTING OF WEATHER CONDITION USING DEEP LEARNING
ALGORITHMS
Dr. Smita Agrawal¹, Srijan², Siddarth Jain³
¹Professor, Department of Information Technology, JECRC College
²B.Tech Student, Department of Information Technology, JECRC College
³B.Tech Student, Department of Information Technology, JECRC College
Keywords – weather, forecasting, deep learning, machine learning
ABSTRACT
To predict weather conditions accurately and timely was the big challenge for the meteorological scientists using conventional theory-driven numerical weather prediction methods in the past century. But now days with the successful application of data-driven deep learning methods, it has been proven that deep learning methods can effectively mine the temporal and spatial features from the spatial-temporal data. Meteorological data is a typical big geospatial data. Weather prediction using Deep learning methods is expected to be a strong supplement to the conventional method. Many researchers have tried to introduce data-driven deep learning to forecast the weather conditions, and have achieved some preliminary results. This paper surveys the state-of-the-art studies to forecast weather conditions using deep learning- algorithms.
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GRAPE QUALITY PREDICTION IN PRE – POST
HARVESTING WITH IMPLEMENTATION OF FUSION
DEEP LEARNING
Nisha Patil¹, Archana Bhise², Rajesh Kumar Tiwari³
Research Scholar¹, Researcher², Professor³
1,2Department of Computer Science & Engineering, JJTU University, Rajasthan, India
³RVS College of Engineering, Jamshedpur, Jharkhand, India
Keywords – Grape quality, grape maturity, ripeness, machine learning, CNN.
ABSTRACT
The act of tilling and nurturing the land, engaging in the growth and harvest of various crops, and managing the rearing of domesticated animals is commonly denoted as the agricultural enterprise of farming. The significance of agriculture is indispensable in enhancing a nation’s economic growth and development. Fruit is considered a type of perishable agricultural commodity. The Vitis genus, consisting of approximately 60 to 80 species of climbing plants within the Vitaceae family, is indigenous to the northern temperate region. This genus encompasses cultivars that can be consumed as fresh produce, sun-dried for the production of raisins, or extracted for the manufacturing of grape juice or wine. The utilization of Artificial Intelligence (AI) has become prevalent within the realm of precision agriculture as a means of assessing the food quality. This notion is particularly pertinent when evaluating crops during different stages of harvest and post harvest. It is imperative that fruits are harvested at an appropriate stage of maturity to ensure optimal quality and enhanced storability. Convolutional neural networks (CNNs), which belong to the category of feedforward artificial neural networks, have demonstrated efficacious implementation in the field of agriculture for the purpose of image segmentation and object classification. The application of these techniques possesses the potential to facilitate the identification of objects of significant relevance, such as fruits or leaves, in agricultural imagery. Consequently, it presents itself as a viable and efficacious approach towards addressing the inherent obstacles encountered in large-scale agricultural operations. The present investigation puts forth a novel grape quality forecast model utilizing machine learning methods and image processing techniques to ascertain the ripeness and size of grapes. The corpus was generated through the acquisition of photographic representations of diverse grape cultivars at varying growth phases, harvested from assorted vineyards. The utilization of convolutional neural networks (CNNs) in modelling has resulted in the attainment of remarkable accuracy levels in grape size and ripeness prediction. The investigation resulted in a noteworthy model that attained an optimal precision level of 100% in anticipate grape dimensions and maturity. Prospective research endeavours could centre on enhancing the performance of the model, augmenting the scope of the dataset, and creating an instantaneous prognostication system for the management of vineyards.
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THE REVIEW OF DEVELOPMENT AND DESIGN OF BLOOD CENTRIFUGE MACHINE
Soham Deshmukh1, Vidula Sardesai2 , Pratiksha Kolekar3
1Student, Zeal College Of Engineering And Research Pune India (Mechanical Department)
2Student, Zeal College Of Engineering And Research Pune India (Robotics & Automation)
3Assistant Professor, Zeal College Of Engineering And Research Pune India
(Mechanical Department)
Keywords – Blood Collection, Evactainer, Arduino, Rocking motion, Centrifuge.
ABSTRACT
A blood collection monitor is a medical device used to prevent blood clotting and ensure proper mixing of anticoagulant fluid in the blood bag during a blood transfusion. This study focuses on designing an automated blood collection system with an inbuilt mixer for blood transfusions. The proposed design is equipped with a safety system in the form of a barrier indicator that is linked to an alarm. The alarm is triggered to alert the blood donor if there is an obstacle or if the blood volume in the bag does not increase by at least 20ml in one minute, according to the World Blood Bank Association guidelines. The device is compatible with three different sizes of blood bags. The amount of blood fluid entering the bag is detected using a load cell sensor and then converted into milliliter volume. An Arduino microcontroller controls the motor that drives the shaker used to collect the blood. The measurement results show no deviation, UA, or average error for the entire size of the blood bag, indicating that the device is reliable. In the future, the blood infusion system can be further developed to include flow rate measurements to determine the speed of blood during transfusion.
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