Journal of Research Proceedings 2021-08-11T06:35:54+00:00 Karthik A S Open Journal Systems <p><span data-preserver-spaces="true">The JRP aims to provide a platform for a diversity of intellectual pursuit from all corners of the society for enrichment and enhancement of the group readers</span>. Articles published here will be available and accessible online for free. JRP will be a perfect platform to showcase your research thoughts and explore your ideas . JRP maintains confidentiality, consent, and research ethics.</p> A Review on Design and Development of IoT Based Pulse Oximeter 2021-08-09T08:16:48+00:00 Varshini R <p>Measuring the heart rate, oxygen saturation level and blood pressure plays a vital role in human body. In many critical condition measuring these parameters a very important when a patient is in critical condition so pulse oximeter is really necessary. Early pulse oximeter could only measure saturation level of oxygen. Later pulse oximeter evolved to measure pulse rate along with heart rate with temperature inbuilt control. Red and infrared sensors are used in pulse oximeter to detect heart beat and saturation level of the oxygen. In this paper pulse and saturation of oxygen can be calculated using different types methods that are easy and accurate to calculate. Alert system will alert the patients when there is drop of any level of the spo2 and heart rate.<br><br></p> 2021-08-09T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Role of IoT in Health Care System 2021-08-09T08:53:55+00:00 Prerana Chaithra <p>Most notable technical emergence in Computer Science and Electronic engineering have been merged, and has resulted in IoT ie. Internet of Things. It is about the network made by the physical objects which have sensors, software, hardware, and other technologies for exchanging data with other systems and devices over the internet. In last few years the impact of IOT in healthcare has been significantly increased. In healthcare domain to increase reliability, accuracy and productivity IOT is playing a crucial role. With the population increament health issues are also rising and the necessity of technological solution is demanded. IOT is a new era technology giving hope in the medical health care system. IOT plays a major role in monitoring healt</p> 2021-08-09T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings IOT BASED SMART GAS LEAKAGE DETECTION & ALERTING SYSTEM 2021-08-09T09:03:59+00:00 Rohan K H <p>Gas leakages are causing massive explosions in places throughout the world.The conventionally available gas leakage detectors only have the provision to alarm the user who is physically present at the spot . Hence, to overcome this limitation, this project implements a model which sends an email to the user in case there is a leakage. This model detects the leakage of Liquid Petroleum Gas &amp; Benzene. LPG is highly inflammable and results in blasts. Benzene when inhaled in higher concentrations affects the health of workers in industries since it is carcinogenic. Hence, this cost-effective project uses MQ 6 and MQ 135 sensors for detecting the aforementioned gases using Arduino -UNO ,Wifi Module ESP8266 and Thingspeak cloud.<br>The real-time information of the above-mentioned gases are uploaded in the cloud and displayed in the form of a graph to the user. The prototype of this model generates an email to the concerned person using IFTTT web service. An LED is also used as a visual alarm at the site of leakage.</p> 2021-08-09T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Attention Deficit Hyperactivity Disorder (ADHD) Detection and Providing Therapeutic Treatment Using 2021-08-09T09:12:36+00:00 Harini K, <p>ADHD is one of the neurological disorders among children, adolescents and even in adults. ADHD arises due to brain anatomy and function, genes and heredity, head injury, exposure to alcohol, toxins etc., The symptom includes limited attention, hyperactivity, irritability and persistent repetition of words or actions. The children with ADHD have poor academic performance and less parent- child relationship. ADHD is normally treated by using stimulants, cognition enhancing medications and counselling. The objective of our project is to provide non-invasive therapeutic treatment using a portable device. The portable device consists of pulse sensor, sweat sensor, and accelerometer sensor, the outputs of which will be displayed on the LCD Display. Then the therapy is carried out with the help of vibration motors which will improve blood circulation in body and makes them feel relaxed. Thusour device acts as a supportive therapy which helps in the speedy recovery of ADHD patients with minimum cost and minimum technical knowledge.</p> 2021-08-09T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Eco Friendly Green Cloud Computing 2021-08-09T09:21:20+00:00 Prerana Chaithra <p>Cloud computing has played major role for storing and handling huge data by the virtualization of data centres and servers to make them very efficient. Cloud computing gives power to compute and provides service to the users around the whole world. Thus providing customers with higher performance which is of lower cost compared to dedicated high-performance computing machines. IT sectors consume large amount of power and energy, resulting as a main source of Carbon dioxide emission. To overcome this, we need Green Cloud Computing for IT resources to be energy efficient and operating at cheaper cost. In order to reach optimal standards for green_cloud computing. The efficiency of the power of Cloud must be very meticulously analysed. Cloud computing is a better alternative being greener than individual datacentres by usingless number of servers.Data centres using cloud are far better than the traditional ones. Thereby the impact of carbon is reduced.</p> 2021-08-09T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Survey on cryptographic algorithms in cloud computing 2021-08-09T09:33:51+00:00 Kota Anjani Vaibhavi, <p>In the modern world, many companies and organizations manage a lot of data and they require a platform to store this data. So to fulfill this purpose cloud computing is introduced. Cloud is a platform where we can store the data, files, media etc. in a way that we can access it at any time and perform modifications to it.<br>So when a user or any company stores its data in a trusted cloud , the main duty of the cloud service provider is to ensure the safety of the data. That is the data should be stored efficiently without any errors or discrepancies. It shouldn’t be accessed by unauthorized users or any malicious attackers because that data in the wrong hands can cause a lot of damage.<br>To overcome the drawbacks in the cloud computing and make it more secure and efficient, we have come up with cloud cryptography. This is done to ensure that the data is properly stored and is safe inside the cloud. This paper gives the idea of what is cloud cryptography, why is it needed and its pros and cons.. It describes some of the different techniques of cryptography and compares them.</p> 2021-08-09T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Decoding Brain EEG Signals to find State of Mind Using AI 2021-08-09T09:42:35+00:00 Mrs.M.KIRUTHIGA DEVI, <p>Emotions are primordial for human beings and they play a key role in human intelligence.Emotion is basically connected with sight,human correspondence and logical decision making.Now a days the need for attested and dependable remedies for the recognition of human emotional states is obligatory due to the rise in interest of upcoming researchers towards establishing some significant emotional interactions between humans and computers.By analysing we choose the best subset of characteristics for identification using electroencephalography (EEG) information, that are obtained by EEG sensors which non - invasively record the electrical impulses of nerves within the neural network.Then the signals are pre-processed using Hjorth parameters that measure signal activity of time-series data.The classification of signals obtained is based on supervised pixel classification.By using convolutional neural networks(CNN) the signal feature obtained is compared with the parameters set and thus it detects the state of mind whether the patient is happy,depressed or anger and the output generated will be in a text format.This is very much beneficial in many sectors especially in health sector where dealing with patients diagnosed from Locked In Syndrome,coma and various neuropsychiatric disorders .By detecting the emotional state of the patient which means to detect whether they are depressed or anger or happy and it will help the doctors in treating them in a better way and the patient can recover soon.In case of depression it is mandatory to treat those kind of patients or else they may take some psychotic decisions like suicide or they may become mentally weak.Similarly if the emotional state detected is anger,then we can make them happy by doing what they like which will help to make them normal In patients diagnosed with locked in syndrome their full body will be paralyzed except their eye muscles They can think,feelemotions,sense smell but cannot move.If we detect their state of mind it will be more beneficial in treating them..The accuracy of the overall project will be around 83%.Our approach shows better performance compared to existing algorithms.</p> 2021-08-09T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Design and Development of DMFC using PVA-PANI Composite on Nafion Membrane 2021-08-09T09:53:12+00:00 Yalpi Nandika, <p>The solid oxide fuel cells are a battery that can be used to substitute battery cells in practically any portable devices. Existing DMFCs have double the energy density of modern battery packs and can be recharged instantly The Development of critical thinking skills is committed to produce higher voltage gain if the biofuel material's core – the polymeric electrochemical membranes (PEM) – is far more resistive to the gasoline. As a result, intensive studies are underway to create Nafion® (a most frequently employed PEM for liquid fuels) alternatives with higher electron density and low ethanol penetration (superiority). Polymers are indeed a cost-effective and profitable way to develop barriers with the necessary transport characteristics. To yet, there was an only significant study into PEM mixes, as well as a variety of questions unanswered. Its effects of mix content, biochemistry, and treatment on polymers shape, as well as transportation characteristics and selection, are investigated in this work. The comparability of cast materials to temperature compressed membrane is indeed a significant influence in this research. Its ultimate goal is to meet both barriers to produce insoluble mixes with fewer data, whereas annealing liquid casting membrane enhanced miscibility but, as a result, analyses, according to the study. Where at higher methanol fueling percentage, overall DMFC efficiency of an annealing seamless integration portion sizes of Nafion®/poly (vinyl alcoholic) (PVA) (only with Five wt percent Polymer) was found to be 33 percent greater that Nafion® (the market norm).</p> 2021-08-09T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Image Segmentation and Object Recognition 2021-08-09T09:58:21+00:00 Aishwarya S Kumar, <p>The work focuses on object recognition to perform a set of closely related tasks in the field of computer vision, involving object detection and identification. Image classification involves an array of tasks like identifying the class of an object in an image. An object that is identified can also be precisely localized and a bounding box is drawn around it. Object detection combines both localization and identification and classifies one or more objects in image. For Object recognition, a technique called ‘Mask Region-based Convolution Neural Networks’ or Mask R-CNN is used. It is an extremely efficient approach for object localization and recognition tasks. It is an extension over Faster RCNN method by adding a parallel process for the prediction of a highly accurate object segmentation mask that conforms to the bounds of each detected object in the Region of Interest (RoI) by performing pixel by pixel analysis and classification while still staying highly performant. By using the above methods, individual objects can be identified more precisely than with precise localization. It is also easy to generalize the algorithm to other tasks like estimating the pose of a human in the image or applying a color filter to the image selectively on any object</p> 2021-08-09T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Surveillance Rover Based on Real Time Object Recognition 2021-08-10T09:16:08+00:00 Ashish Daga, <p>In the past few years there have been plenty of technical advancements in surveillance, by the introduction of types of closed loop cameras. These have assisted in solving crime scenes and yet, the rate has not reduced due to the immovability of the surveillance equipment. In any hostage situations security cameras are the first to be targeted by the outlaws to protect their identity. therefore, the need for the development of mobile surveillance equipment is high. Residential areas, government organizations, commercial spaces, schools and hospitals, industries, banking and other challenging indoor and outdoor environments require surveillance systems. This project proposes a rover which can be controlled through the internet and can be used for surveillance applications. Raspberry Pi 3 B+ is used as the brain of the system and the module is also capable of performing Object Recognition using the YOLO.V3 algorithm which is based on deep learning. The rover can be controlled through an android application which communicates with the Raspberry Pi on the Rover and gets the job done. VNC viewer is used to have an access to the Raspbian OS of Raspberry Pi to make changes in its functioning.</p> 2021-08-10T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Automatic Motorcyclist Helmet Rule Violation Detection using TensorFlow & Kera’s in OpenCV 2021-08-10T09:22:45+00:00 Swagatam Mukhuty <p>Traffic accidents are now rapidly increasing in numerous countries over the years, due to motorcyclists' international disregard for traffic safety, which has resulted in accidents and fatalities. To combat this issue, most nations have regulations requiring two-wheeler motorcyclists to wear helmets, thus it is critical for bikers to realise the dangers of driving outside without. Motorcyclists who don't even wear a helmet are all at the biggest danger of catastrophic brain damage; whether they are injured in an incident without covering, the skull is vulnerable to a severe hit. In India, there is indeed a rule that requires riders to wear helmets, and not riders. Someone riding a motorbike without even a helmet risks being involved in a crash or suffering head trauma. Everybody, even kids, should indeed be recommended to carry a helmet. As a result, we designed a system with in computer vision that is founded on TensorFlow and Keras. Including in real time, the system can detect not just whether riders are wearing helmets. If some of them seem to be there without a helmet, the technology will closely evaluate the incident and issue a compliance report. The technology, which may be used in mall, workplaces, super markets, schools, and colleges, allows users to enter only once a helmet is detected by an automatic barrier. It will undoubtedly have an impact on the use of helmets which will save people's lives.</p> 2021-08-10T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings User Reposed Based Movie Recommendation System 2021-08-10T09:30:00+00:00 Prashant Verma <p>Filtering devices are often used to extract unwanted data from vast amounts of data. Recommender systems look for and predict useful and insightful things that a user might enter into the data. Filtering technologies are being used to exclude irrelevant data in vast amounts of information. The approach focuses on repurposing the knowledge and preferences of users in order to calculate future suggestions. This article presents a recommender system that generates suggestions depending on user data. It is achieved by examining the person's psychological analysis, watching history, and film reviews from many other websites. It's also predicated on requirements of aggregate resemblance. Both material and data aggregation are used in this approach. Both of these things may be described as follows: Collaboration filtration is the process of constructing structures going by past user activities. The system is then utilized to anticipate results that perhaps the customer would be interesting in (i.e. items that have already been selected or scored).People rely on their own events to make judgments that are in their economic interest, thus the suggestion system is commonplace. Recommendation algorithms are a sort of data filtration which anticipates customer interests for items they utilize or are considering purchasing. The real effectiveness of such systems is still being researched.</p> 2021-08-10T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings BRE-LEACH: An Advance LEACH Protocol to Increase Efficiency of WSN 2021-08-10T09:35:55+00:00 Saurav Kumar Thakur, <p>The Wireless Network, abbreviated as (WSN), is a relatively new technology that is proving to be quite useful in commercial and defense applications wherein energy is now the most important component. This work introduces BRE-LEACH (Balanced Residual Energy-LEACH), a novel method for the LEACH (Low Energy Adaptive Clustering Hierarchy) algorithm. To improve lifetime of the network by reducing energy loss, three aspects must be considered: cluster heads, proximity to the BS (Base Station), and multi-hop. The fundamental factor in the cluster head (CH) choice technique is residual energy, which is used to make lower sensor networks serving as a CH since they require more energy than just a regular node. The BRE-LEACH determines the best route by selecting the CH with the highest residual energy and the highest efficiency to the BS as the roots CH, which clear and consistent from those other CHs and sends it to the BS. The inter is used by the furthest CHs to get to the core CH. Our suggested protocol, BRE-LEACH, extends communication range by 55.73 percent in comparison to the Leach algorithm, according to simulation findings in MATLAB.</p> 2021-08-10T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Evolution of IOT Data Management System 2021-08-10T09:41:26+00:00 Rajnandan rajbanshi, <p>The Internet of Things (IOT) presents Database Management Systems (DBMS) with a new problem. In everyday life, a huge number of sensors are used for the cloud computing. These devices generate a large amount of data streams, which must be managed by a suitable database management system. The DBMS poses a severe problem in determining how to process and store a large variety of data data in the context of a IOT. Relational DBMSs and Non-relational DBMSs are the two basic types of database management systems. This study seeks to provide a comprehensive comparison of two major open-source database management systems.: Mysql is a database management management system, while Mongodb is a non-relational database management system. In Cloud technology, the activity of the enzyme database systems is evaluated by comparing the insertion and retrieval of enormous amounts of data.</p> 2021-08-10T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Smart Home Automation Using Wi-Fi Technology 2021-08-10T09:52:26+00:00 Vidya M <p>This venture rotates around making a home computerization framework model with the principle center being the capacity to bolt/open an entryway through the web. The framework comprises of a focal gadget, a worker and an Android application. The need of headway for remote operation, there are few associations are presented like Global System for Mobile (GSM) correspondence, Wireless-Fidelity (Wi-Fi) and Bluetooth. Every one of the association has their own remarkable determinations and applications. Wi-Fi is chosen with its adequate capacity among some of the four basic distant connections that are frequently used in Home Automation System (HAS) projects. Wi-capabilities Fi's are all that anyone may require to carry out the scheme. Furthermore, the majority of today's PC/scratch pad or Smartphones come with a built-in Wi-Fi port. In an indirect manner, it will reduce cost. This project entails designing a home automation and security system using Raspberry Pi and Arduino, a credit-rated computer. Raspberry Pi has all of the features of a standard PC, plus it has General-Purpose Input Output (GPIO) ports for connecting other parts and devices. The Raspberry Pi's GPIO variables are used to calculate the output. This project entails designing a home automation and security system using Raspberry Pi and Arduino, a credit-rated computer. Raspberry Pi has all of the features of a standard PC, plus it has General-Purpose Input Output (GPIO) ports for connecting other parts or gadgets. It details the design and implementation of a mechanization system that allows users to monitor and manage home devices using an Android device.</p> 2021-08-10T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings To Design and Develop A digital Infrastructure for remote Monitoring System For Covid-19 Disease 2021-08-10T10:07:29+00:00 Harini N, <p>Covid-19 became a deadly virus, with cases reported across the globe. Research and medics are working tirelessly to build more laboratories and vaccines, as well as improve surveillance systems. People' health has been already monitored using web and mobile programmes based on surveys. Could not only gadgets perceive and store, but they can also respond appropriately. A paper focuses on 1) wearable technology appropriate for tracking at-risk and containment communities, as well as assessing the wellbeing of higher management and care providers and enabling hospitalisation procedures; and 2) Non intrusive sensor technology for impact evaluation and diagnostic procedures with milder side effects. 3) Telemedicine technology is used to enable monitoring systems and diagnostics of COVID-19 &amp; related disorders.</p> 2021-08-10T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings A Survey on Alert for Accident and Hazardous Situations using IoT Helmet 2021-08-10T10:16:07+00:00 Prof. Kavya M <p>As of now, India is the greatest commercial center for 2-Wheeler’s (China being 2d) inside the worldwide. Be that as it may, this prompts developing road mishaps and subsequently becoming the demise charge. Caps should be utilized while riding a bike. The greater part of the passing happen inside the first few moments of effect. Subsequently, in this vital period of time, in the event that casualties get the legitimate clinical assistance, death rates can be diminished. Brilliant protective caps make the excursion of riders more secure and more agreeable. The keen protective cap gives entire wellbeing measures which envelop fortuitous event discovery and SOS notice right now delayed consequence and bringing in fortuitous event clasp to the cloud, getting admonitions of nearby vehicles which can be gravitating toward from the back. Sharp cap progresses the usage of the head defender by pulling in the client by its highlights like network with a telephone, offering clasps of an excursion to loved ones, climate refreshes just as GPS. Bearings by means of voice. What’s more, a customary model of the cunning head protector has been progressed for the mining business in a work to find dangerous occasions inside the mining, climate. The high level model is equipped for sense the uncommon of air, dampness, taking out the head protector through digger, vehicle rider, also, and crash of a thing on head</p> 2021-08-10T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Future enhanced technology with the advent uses of Internet of Things: a review 2021-08-10T10:22:31+00:00 Prof. Pradeep Kumar K, <p>The Internet of Things (IoT) is a game-changing innovation that is luring people away from their traditional way of life. IoT has brought about global developments such as cyber smart cities, intelligent housing, pollution control, energy conservation, cyber presents a strong, and industries. To improve innovation via IoT, numerous research activities and experiments have been conducted. Despite this, there are a slew of challenges and difficulties that must be addressed in order for IoT to reach its full potential. These factors and difficulties must be considered in order to perceive the IoT in a futuristic light in terms of file, difficulties, enabling innovations, social and natural consequences, and many more.<br>A primary goal of this research essay is to look at things so from a sociological and a technical standpoint. The article discusses the various challenges and performance management of dispute in the fields of IoT, engineering, and crucial application areas. This article explains the Internet of Things (IoT) and its importance in today's world to consumers and scientists.</p> 2021-08-10T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Intrusion Detection System Using AODV For Securing Blackhole Attack and Grayhole Attack in MANETS 2021-08-10T10:29:30+00:00 Harshavardhan K <p>The MANET is a sort of wireless connection that can be deployed without the use of equipment. It is a system of peer, infrastructure-free, flexible, and decentralised mobile nodes which are connected to one another. The goal of this study is to examine and improve the safety of MANET routing protocols using Ad hoc On Demand Distance Vectors (AODV). This methodology for identifying blackhole as well as grayhole attacks is reflected in the development of modifying the sequence number given in control packets, particularly Route Reply Packets (RREP), in order to determine blackhole and grayhole nodes and thus minimise loss of information by throwing away the route with so problems with nodes.</p> 2021-08-10T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Sentiment Analysis of Twitter using Machine Learning 2021-08-10T10:37:39+00:00 Aiswarya M K <p>Social media today makes a shift in lifestyle of many people. Twitter is often used for giving campaigns, critics and opinions that can make pros and cons. So, there are large amounts of textual data contained in twitter called big data. We can crawl the Twitter data and use it for Sentiment analysis to predict positive, negative or neutral sentiment. Finding the best combination algorithms is the key to success in sentiment analysis. Therefore, we compare the combination algorithms of preprocessing, feature extraction, feature selection and classification method. The research framework takes an unique approach to tweet information by combining an approved polarities lexicon learned from customer reviews of domains with tweet-specific characteristics and unigrams to create a classification model employing machine learning methods.</p> 2021-08-10T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Prediction of Students’ Performance Based on Machine Learning 2021-08-10T10:45:17+00:00 Aishwarya K L <p>Performance evaluation of students is essential to check the feasibility of improvement. Regular evaluation does not just improve the student performance but also helps to understand where and what the student is lacking. It requires a great deal of manual exertion to finish the assessment cycle as even one school may contain a huge number of students. This paper proposed a computerized solution for the performance assessment of the students utilizing the machine learning Predicting performance exhibition of the students which can also be exceptionally helpful for instructive organizations for upgrading their educating quality. Student performance prediction is very important to understand a student progress rate.</p> 2021-08-10T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Object Detection using Artificial Intelligence and Machine Learning 2021-08-10T10:51:58+00:00 Nitesh Kumar <p>Computer vision is indeed a branch of artificial intelligence which teaches machines to identify and manage images. Utilizing digital photos or videos with deep neural networks, computers can reliably detect and classify items. Object detection is the technique used to detect the objects in particular images or videos. The YOLO family of techniques, which have very great speed and accuracy, have been used in numerous scenario detection jobs as object detection technology has progressed. Depending on the YOLOv5 model, the suggested model detects the type of cars on the road. This model with different parameters for training and testing. The results shows that the algorithm proposed can easily recognize the type of vehicles which are in public places or in traffic areas.</p> 2021-08-10T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Smart Shopping using Android Application 2021-08-10T10:58:03+00:00 Vidyashree S, <p>In present Life, traditional shopping takes more time. The customer waiting in a long queue to pay bills is more time consuming and waste of energy for both the shopper and as well as the cashier. A smart shopping system using android application is being developed to overcome this problem. Mobile application development is expanding all over the world. Consumers are shifting to technology in order to make their lives easier and more innovative by seeking solutions to their difficulties. Customers find it hard to locate items in the supermarkets and to wait in a long billing line when they go shopping. As a result, an Android app that is utilised in smart shopping carts to tackle the problem has been developed. This purchasing app is divided into two sections, the first of which concentrates on navigating to the individual item position and the second of which concentrates on automatic payment of the things that the user purchased using RFID. As a development environment, the Android application software, which is open source, is being used.</p> 2021-08-10T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Active Plant Wall for Green Indoor Climate based on Cloud and Internet of Things 2021-08-10T11:04:10+00:00 Dr. Srinidhi N N, <p>Developing an autonomous plant monitoring system which will perform by sensing and autonomous operation is being used in wide applications. Indoor climate watching by the sensors and management is prevailing in several places like residential homes, office space and many others. Previous research has shown that a healthy plant wall system may successfully reduce particle matter and pollutants in the indoor environment while also stabilising the carbonic acid flow rate. This paper proposes a distant monitoring monitoring system that is unique to plant barriers. To alter the administration procedure, enhance comprehensiveness, boost the productivity of plant walls, and contributing to an experienced interior climate, the system makes use of Internet of Things and Azure cloud infrastructure platforms.</p> 2021-08-10T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings A Survey on Different Strategies for Stock Market Prediction Using Big Data Analytics 2021-08-10T11:09:57+00:00 Priyanka B P <p>Big Data is an enormous volume of raw and unprocessed data. Almost every business and industry is greatly affected by data, and big data is now becoming extremely important. Big Data is utilized in many ways in the stock market. Gigantic information is utilized in numerous ways in the stock market. But it isn't the size of a data that matters. It's what organisations do with the data that matters the most. Big data can be studied for insights that lead to better decisions and crucial trade actions. Big data makes it simple to analyse hot stocks based on social media resources and various events that influence stock performances</p> 2021-08-10T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Machine Learning Approach for Prediction of Crop Yield 2021-08-11T04:32:25+00:00 Ashwini V <p>India is a global agriculture powerhouse. The average productivity of many crops in India is quite low and the current situation faced by farmers in India leads to increase in suicide rate over years, due to the impact of climate change in country. Crop productivity can be increased using Machine Learning (ML) methods and climate data. For weather forecasting, Machine Learning approaches like Recurrent Neural Network (RNN) are utilised, while Machine Learning categorization techniques like Decision Tree, Random Forest, and Nave Bayes are used to predict appropriate crops. Therefore, its necessary to build a model which takes into consideration of all the parameters for the better selection of crops which increases the crops yield.</p> 2021-08-11T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Voice Assistant for Home Automation 2021-08-11T04:38:50+00:00 Sadiya Firdose <p>Smart Homes have been a go-to sector in modern eras, with the ever wants for comfort driving the human race to seek out even more technical breakthroughs as a solution to their difficulties. Home automation and voice-controlled apps have become more accessible thanks to advancements in virtual assistants such as Google Assistant and Alexa are more common, and the development in information technology (IT) and artificial intelligence (AI) has led to advancements in several types of home automation, allowing appliances to be managed quickly and conveniently. The benefits of voice-based technologies will be recognized rising among other technologies in terms of feasability, according to a survey of numerous home automation systems. The proposed idea is programmed to transfer voice commands to the smart microcontroller using Graphical User Interface via a user wireless microphone (connected to the user cloth). With simply a voice control, we can manage our home appliances. We can turn on and off electronic equipment, and it also recognises an individual's face mask.</p> 2021-08-11T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings A SURVEY ON EDGE COMPUTING 2021-08-11T04:45:48+00:00 Vinay Kumar B C <p>The Edge computing model has gained a lot of traction in academia and industry in recent years. Industrial spheres Many potential technology, such as 5G and the Internet of Things, depend on it. The Internet of Things (IoT), virtual worlds, and vehicle-to-vehicle interactions can all be realised by connecting cloud computing infrastructure and amenities to end users. The Edge computing architecture has several advantages, including network bandwidth, portability, and safety. The Internet of Things and 5G networking ambitions are combined in edge computing systems. Computation, storing, and networking are all available at the network's edge. The system serves as a base structure that enables customers to access data. Designers can develop and manage edge software in a short amount of time.</p> 2021-08-11T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Upliftment of Indian Agriculture through Precision Farming 2021-08-11T04:52:38+00:00 Pradheepa J <p>Farming is becoming a more difficult area to work in due to a lack of manpower needed to crop production. Precise agriculture is built on information technology, which allows farmers to acquire information and data to help them make better decisions. With the advent of artificial intelligence and machine learning (AI/ML), predictive and prescriptive analysis of even huge amounts of data is now possible .Sensors can be placed in the field to collect various data and based on the values collected, corresponding action can be taken remotely like spraying water and fertilizers etc .GIS and GPS can also be used to collect the data directly from the field.</p> 2021-08-11T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Alleviate Insider Statistics Pilferage Blitz in the Cloud 2021-08-11T05:07:01+00:00 Shruthi S <p>Cloud computing allows to store our personal and business information. you can quickly spin up resources as you need them, deploying hundreds or even thousands of servers in minutes. We propose an approach for data security in the cloud using offensive decoy technology. We monitor data access in the cloud and detect abnormal data access patterns. When unauthorized access is suspected and then verified using challenge questions, we launch a disinformation attack by returning large amounts of decoy information to the attacker. This protects against the misuse of the user’s real data. At the point when unapproved access is suspected and after thatconfirmed utilizing challenge questions, it dispatches a disinformation assault by returning a lot of imitation data to the assailant. This secures against the abuse of the client’s genuine information</p> 2021-08-11T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Multipurpose Card Using RFID Technology 2021-08-11T05:42:37+00:00 Nagarathna C <p>In this modern world, we carry different cards such as debitcards, credit cards for shopping or any money transactions, identity cards for identity or verification purposes, metrocards for traveling, special cards for tolls and parking and many more cards as such. The smart card implementation scan be seen around the globe but they are unique i.e. each developer uses different programming standards and data structures and each purpose has different cards. The smart card will provide service to the verified user only within a preferred area or an organization. To make available such multiple application access using a single card to every person we have planned to use RFID technology, which is cost-effective. As RFID technology is used in the proposed concept, the programming standards, and structures will be unified. Unlike the smart card, the multipurpose card using RFID technology can be used by every person to access different applications. Thus, a person needs not to carry several cards; he can just carry a single card for many purposes.</p> 2021-08-11T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Air Pollution Hazard Assessment Using Decision Tree 2021-08-11T05:54:10+00:00 Anupama L <p>The quality of air of a given region can be utilised as a primary determinant of air pollutants, as well as how well that the city's industry and population are controlled. With the development of industrialisation, monitoring urban air quality has become a persistent issue. All around the world, air quality has remained a severe concern for the government and the public. Air pollution has a notable impact on both the human health and the environment, culminating in acid rain, global climate change, heart problems, and melanoma. Utilizing two Machine Learning Algorithms, this study tackles the problem of forecasting the Air Quality Index (AQI) with the goal of reducing pollution before it becomes a problem.: Random Forest, Decision Tree, and Logistic Regression The Central Pollution Control Board (CPCB), Ministry of Environment, Forest and Climate Change, Government of India, provided the air pollution database. The proposed Machine Learning (ML) approach for predicting the Delhi AQI is impressive. The findings show an increase in predictive performance and imply that the model might be applied to other smart grids.</p> 2021-08-11T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Smart Wheelchair 2021-08-11T06:02:58+00:00 Megha B S <p>Each person on this planet wishes to live a normal human life, but sadly, accidents, diseases, and age turn that wish into a deficiency. Furthermore, there are many elderly and handicapped individuals, as well as paralysed people, and the number of people continues to rise day by day. They must rely on another people to walk and must undergo physical therapy under the supervision of a physician. of a therapist to recuperate their strain back. The proposed device allows the user to operate easily and freely while also reducing the cost of a therapist's intervention. The development of a smart wheelchair is based on the use of an eye-controlled system to control the wheelchair's mobility. Aside from that, an ultrasonic system provides automatic embedded sensors. Because our project entails creating a method that enables the user to engage with the manual wheelchair at several levels, such as avoiding collisions through object detection, that enables for effective risk management, and a functionality that permits the smart wheelchair to be turned into a bed, It significantly decreases reliance on caregivers or relatives. The wheelchair ensures safety by including capabilities such as object detection and automatic braking. detection to avoid dangers they may meet in their daily lives, such as stairwells, potholes, and so on.</p> 2021-08-11T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings E-Farming 2021-08-11T06:10:22+00:00 Navya A M, <p>Mobile phones are used everywhere, and android is that the primary OS (operating System) dominating the mobile OS market field with a market share of over 80% and most of the applications are liberal to download. We are targeting the horticulture sector during which smartphones may be accustomed to provide the farmer with the small print. The majority of the people relies on agriculture to survive. Many farmers are unaware of the skin world as well as farming's technological advancements. The majority of farmers have no knowledge what the prices of their crops and products are, therefore they sell them at any price. In today's worldwide world, agriculturists acquire their news from papers, periodicals, and television. So we've decided to build a platform for farms who use phones, where they can get critical real-time information on the prices of vegetables and fruits in each markets in Southeast asia so that they can sell their products at the appropriate prices.</p> 2021-08-11T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Precision-Agriculture: An Image Net – Based Multilayer Convolution Neural Network for Leaf Disease Detection in Coffee Plant in Early-Stage System 2021-08-11T06:23:28+00:00 Shubhashini pal <p>Secured Plants often are affected by various fungal infections and leaf diseases that hinders the growth of healthy crop and eventually reducing yield in plants, lead, buds, flowers and fruits, Plant diseases are the leading source of agricultural production losses in terms of quantity and quality. These reductions have a severe influence on agricultural production. Farmers and plant pathologist have always relied on their eyes to diagnose diseases and make decisions based on experiences, which necessitates a significant amount of time and human work., It is sometimes inaccurate and sometimes prejudiced because many diseases appear to be much like the early stages, proper results may not be recorded, and accuracy may be low at times [1-4]. This technique leads to the usage of pesticides that aren't necessary, resulting in greater production costs. According for that knowledge, a precise disease detector linked to a trustworthy database to assist farmers is required, particularly in the presence of naive and inexperienced farmers [5-6]. Rapid development of computer vision open the way for this using province Deep learning (DL) and machine learning (ML) techniques. An early disease detector is also required to protect your crop in a timely manner. There have been numerous previous studies undertaken for this aim [7]. With CNN's most popular model, we used the "Plant Village" dataset, a well-known database that really is available on the internet. The CNNs, on the other hand, require a big amount of information for training. In this paper, we offer the following strategy: CNN models have been improved with ImageNet algorithm learning, which employs an Artificial Neural Network (ANN) with Feature Selection (FS) to address multi-class classification problems for four types of diseases, namely Cercospora, Miner, Phoma, and Rust The proposed frame work aim at increasing the models’ accuracy when the data is limited</p> 2021-08-11T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Super Resolution CNN Algorithm to Improve The Quality Of Degraded Images. 2021-08-11T06:29:48+00:00 Pradeep Kumar K <p>Huge information carries advantages to numerous territories of logical exploration, anyway handling these a lot of information regularly requires broad registering time and a huge extra room. Super Resolution project, thinks about critical areas, and accordingly proposes another super goal approach that utilizes huge and wide-ranging data under the structure of a CNN. The preparation interaction is accomplished for the huge pieces of informational collection, reproduction cycle which are been considered critical parts independently. The focal point of Super Resolution is to create a higher goal picture from lower goal pictures.</p> 2021-08-11T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings Unmanned Aerial Vehicle Assistance in A Catastrophic Event (UAV) 2021-08-11T06:35:54+00:00 NAGARATHNA C <p>The fast development of unmanned aircraft (UAVs) and their application in a variety of fields has ushered in a new era of UAV use in disaster management. In UAV-assisted disaster response applications, UAVs aid in the development of a cumulative process between catastrophe survivors, rescue personnel, and the nearest available cell network. This study identifies the primary disaster management applications of UAV networks and discusses outstanding research challenges connected to UAV-assisted disaster management.</p> 2021-08-11T00:00:00+00:00 Copyright (c) 2021 Journal of Research Proceedings