bluuebunny/crossref_metadata_2025_split huggingface dataset:
Object detection YOLO-v4 based smart car system with an integrated Virtual Assistant
Authors: Vignesh B R , Sandhip Kumar D , Gokul V , Priya R 
Published: May 2021

Abstract
Car accidents are a serious social problem that often results in both life loss and financial loss. Most car accidents are caused by a lack of safe distance between cars and also the awareness of the driver. To relieve this issue, in this paper we propose a real-time object detection and safety system. The proposed system consists of two units: a real-time object detection unit and a safety alarm unit. The system is supposed to apply in a normal driving scenario. As for the safety alarm module, it consists of three states: to detect the object; to calculate the safety factor; to determine the driving conditions. To justify the proposed system, a real experiment is conducted. The results show that the system can appropriately signify driving states: safe, dangerous, and warning. By the given experimental results, it implies that the system is feasible and applicable in real-time applications. The objective of this project is to detect objects in real-time and pass information to the user based on the data taken by object detection. The information can be provided to warn the user or to just inform the user based on the result of the sensors. The YOLO algorithm helps to design the output of the sensor based on the necessity of the user. The google assistant allows the user to provide voice commands. The car is integrated with all the above-mentioned.
Air Quality Monitoring System with Emergency Alerts Using IOT
Authors: Suganya R , Guhan R , Gowreesan N C , Mubariz  
Published: May 2021

Abstract
The level of air in a particular region has a very strong effect on the human condition in a section because of the level that will affect the health of living organisms. Therefore, it is necessary to periodically measure air quality conditions in the area. during this study period an IoT-based air quality monitoring system was developed to address air quality conditions in the area. The system can monitor the sensitivity sensors to determine the quantity of many small particles within the air and O3, SO2, CO and objects. Studying device information exploits including Arduino microcontroller is being studied. The data is then transmitted directly to the cloud system using a wireless LAN module in Arduino for access to the cloud service. View results are displayed directly on a web page or application provided by the cloud service.
Frequent Pattern Mining Using Db-Scan Algorithm.
Authors: Margret M Kavitha , Ponni A , Priyanka A 
Published: May 2021

Abstract
Continuous item set mining is a generally exploratory procedure that centers on finding intermittent relationships among information. The unflinching advancement of business sectors and business conditions prompts the need of information mining calculations to find huge relationship changes to responsively suit item and administration arrangement to client needs. Change mining, with regards to visit item sets, centers around recognizing and revealing critical changes in the arrangement of mined item sets starting with one time span then onto the next. The revelation of continuous summed up item sets, i.e., item sets that regularly happen in the source information, and give an undeniable level reflection of the mined information, gives new difficulties in the investigation of item sets that become uncommon, and accordingly are not, at this point removed, from a specific point. This task proposes a novel sort of powerful example, to be specific the A DB-Scan Dynamic Sequential Combinatorial Analysis (DSCA-SCANNING), that addresses the development of an item set in continuous time-frames, by revealing the data about its successive speculations described by insignificant excess (i.e., least degree of reflection) on the off chance that it gets rare in a specific time-frame. To address DSCA mining, it proposes DSCA, a calculation that centers around evading item set mining followed by post handling by abusing a help driven item set speculation approach. To concentrate on the insignificantly repetitive incessant speculations and hence decrease the measure of the created designs, the revelation of a savvy subset, specifically the, is tended to also in this work.
Analysis of Power Allocation for Non-Orthogonal Multiple Access
Authors: Seetharaman R , Rahul D , Lakshmanan H Mani , Anandan K , Gayathri S 
Published: May 2021

Abstract
Most multiple access schemes provide orthogonal access to the users in time, frequency, code and space, this is not true for NOMA, where each user operates in the same band and at the same time where they are distinguished by their power levels. It uses superposition coding at the transmitter such that the successive interference cancellation (SIC) receiver can separate the users both in the uplink and in the downlink channels. The users in (NOMA) are classified based on power, while in Orthogonal Multiple Access (OMA) it is classified based on time, frequency, and code. The NOMA system contains a power-delay tradeoff and hence power efficiency becomes critical for Ultra-Reliable Low Latency Communication (URLLC), especially where a huge number of devices are battery-powered. Combining these considerations, we simulate Dynamic Power Allocation (DPA) for power domain non-orthogonal multiple access (PD-NOMA) with user mobility. For small and clumsy battery-powered IoT devices, power efficiency becomes critical. Further, flexibility is also important to communicate with diverse machine-type devices as well as human users while meeting a variety of quality of service (QoS) requirements. The performance of the DPA is compared with Static Power Allocation under user mobility.
Assistant for the guest with visually impaired using Deep Learning
Authors: Priya A , Shalini M , Suganti T , Swetha M 
Published: May 2021

Abstract
The lack of Braille resources in this advanced world has tied the hands of visually impaired people from soaring up. This paper takes those guests into concern and presents a solution that helps every individual especially the blinds in reading books and text from real time images. This solution converts the text obtained from text document and real world entities to aural output which lends a hand in reading text. The main idea is to build a software using a novel methodology where OCR engine receives input images and get converted into intermediate textual output that is given to Google Trans to get the audio output via earphones.
Classification of Malignant Melanoma using Convolutional Neural Networks
Authors: Vijeya Kaveri V , Meenakshi V , Saran Karthik K A , Shri Raam S 
Published: May 2021

Abstract
Human cancer is one of the world’s most deadly diseases caused due to genetic disruption of skin cells and several molecular mutations. Skin cancer remains the most predominant form of cancer in human beings. The major goal is to detect skin cancer in early stages by research and analyse it using various techniques such as segmentation and feature extraction. The diagnosis of malignant melanoma skin cancer is done by dermatologist by examining skin and physical biopsy to determine the accurate stage of melanoma. It is developed because of high accumulation of melanin in the dermis layer of the skin. ABCD law is used in along with dermoscopy technology to detect malignant melanoma skin cancer. Image Acquisition Technique, pre-processing, segmentation, distinguishing function for skin Feature Selection, which specifies lesion characterization and classification methods are all conducted in this project for melanoma skin lesion characterization. We used symmetry detection, border detection, colour and diameter detection, as well as feature extraction to remove texture based features using a digital image processing technique. The deep Neural Network was proposed here to characterize the benign or malignant stage.
Cost Efficient Automatic Car Parking Facility towards Smart City
Authors: Aswatha R , Deepalakshmi N , Dinesh A , Arun Kumar R , Gokulram R 
Published: May 2021

Abstract
The idea of smart cities has recently gained a lot of traction. Both residents and city authorities keep struggling with traffic control and parking in urban cities. The growing number of cars entering the city depletes the city’s limited parking services, and the increased spending time searching for a parking spot contributes to more traffic, as well as increased fuel usage and emissions. The paper consists of an integrated, cost-effective parking method for smart cities, in which cars are parked and driven to the best location or block for them, and the parking area is completely used with minimal segmentation or empty space. The smart parking system is a relatively new system that creates a platform for booking parking spaces and effectively using those spaces. The sensor system is based on Arduino boards, and the gateway applications are built on Node MCU single-board computers, all of which are connected together using custom software systems and a mobile app for end-users. With the help of a smartphone application, users can reserve a parking spot in advance.
An Automated Machine Learning Approach for Stroke Prediction
Authors: Pooranam N , Dhivya T A , Punitha R , Preethi S 
Published: May 2021

Abstract
A Machine learning-based approach for developing an app capable of recognizing and disseminating healthcare data. Among the world, the major cause of disability is stroke. Brain ischemia subgroup was crucial not only for effective mediation and care, but also for the visualization of injury. An integrated form was used to organize the subcategories of brain ischemia on the global clot trail data in this study. Initially, the Shapiro-Wilk calculation was used to determine the importance of highlights, as well as Pearson relationships between highlights. Early finding of stroke is fundamental for opportune counteraction and treatment. Information was gathered from International Stroke Trial data set and was effectively prepared and tried utilizing Sequential Minimal Optimization. At that point, we utilized Recursive Feature Elimination with Cross-Validation, which conglomerate direct SVC, Random decision Forest Classifier, Extremely-Randomized Trees Classifier, Adobos-Classifier, and Multivariate Event model Classifier as assessor individually, to choose hearty highlights imperative to brain ischemia subgrouping. Moreover, the significance of chose highlights was controlled by Extra Trees-Classifier. At long last, the chose highlights were utilized by Extra-Trees-Classifier.
Tele-Presence Robot for Medical Assistance in Hospitals
Authors: Seethalakshmi V , Varshani V S Kaviyaa , Madhumitha R , Mukunthan L , Kumari B Pooja 
Published: May 2021

Abstract
The visual interactive Tele-presence robot is used to take care of COVID-19 patients remotely in order to avoid the pandemic. This aims to monitor the body temperature, to deliver medicines to the patients as per doctor’s instruction and to disinfect floors and bed in isolation wards without manual intervention. This prototype consists of various parts including raspberry-pi processor, ultrasonic sensor, webcam and tablet. The key idea of this prototype is to perform visual communication through video conferencing with the help tablet computer. The movement of the robot can be controlled by sending commands through computer. As per given command, the robot will move freely in barrier-free environment. However, in the event of a barrier environment, the robot is properly guided by an ultrasonic sensor mounted on the robot. The Raspberry Pi processor is used to keep track of the robotics.
Organic Hydroponic Farming Incorporated with Recycles Water
Authors: Jerusha S , Anand A V , Adarsh J , Chandra Kumar K R , Vishnu Saravana Bharathi  
Published: May 2021

Abstract
Recent The cultivation of flora by way putting the root in liquid nutrient solution is referred to as Hydroponic. Agriculture is the backbone of the growing us of like India, agriculture is disturbed with the aid of number of issues like manures, pesticides, small and fragmented land holdings, chemical used for plant growth etc. Hydroponics can be a higher idea to unravel these difficulties and moreover with the aid of using hydroponics we can go organic. Hydroponics is the quickest developing zone of agriculture and it is the technique of creating vegetation life in liquid with delivered vitamins on the other hand besides soil. The whole manner can be finished in room terrace, balcony and additionally in closed environment. Since it can be extended vertically, it has a acquire that many numbers of plants can be planted in a limited space. The plant boom is monitored weekly as soon as for the yield purpose. Since the drift of the used and smooth water for the watering the plant is automatic, few integral parameters like water level indicator, pH sensor, Automatic water dropper and DC motor. These parameters are controlled by Arduino board. Hence the plant is grown by way of capability of Eco-friendly method.
Improved Air Quality Testing Using Kalman Filter Based on IoT Data Fusion for Smart Cities
Authors: Vadivelu R , Santhakumar G , Boopana V P , Dharani S. , Bharathi S Dhivya , Balasubramaniam D 
Published: May 2021

Abstract
Monitoring the amount of gases in air in smart cities provides immature gas emissions, polluting concentrations and filtering are examined in this paper. Air contamination is a worry in numerous metropolitan territories and is a critical reason for respiratory issues for some individuals. Monitoring the quality of air aids in the prevention of emission of gases and also the reduction of disease caused by pollution. A System has been developed to measure the values of CO2, NH3, and CH4 gases and therefore the parameters are sent via the ESP8266 Wi-Fi module through which we can monitor the concentration of the gases by tracking the IP address via IoT and also implemented a Kalman filter which purify the polluted air.
IoT Based Industrial Waste Water Monitoring and Recycling
Authors: Kalirajan K , Nambiar M Vignesh , Vinodhini K , Ramya E 
Published: May 2021

Abstract
In this rapidly urbanising country, environmental safety management has recently become the most challenging challenge. Waste water management is a way to treat waste that is reasonably reused and does not belong to the trash. Reducing and recycling is one of the most efficient ways to handle waste. Waste water treatment firms have been dealing with a slew of issues for decades based on how to prevent waste being managed Separating wastes that are discarded in the water, such as paints and battery wastes, is difficult, because they need a special method to classify and recycle. To address these issues, we turned to the Internet of Things (IoT) for a waste managing system. It is simple to detect polluted mixed in water using IoT, which can be indicated to the consumer and recycled.. In this way they can be made harmless and is again used. This concept’s utility is illustrated in the article.
5G Antipodal Reconfigurable Base Station Antenna for Modern automobile tracking applications
Authors: Kumar S Satheesh , Rithanesh V D , Sharan K , Sidharth T 
Published: May 2021

Abstract
This paper presents antipodal dipole antenna which is also a base station antenna which is highly suitable for tracking an automobile especially cars/trucks. This antenna contains 4 planes, including the reflector plane, brick on which two poles are present. The Gain of the antenna is around 6.9 to 7.1 dB based on the width of the dipole of the antenna. The directivity remains the same in all width of the dipoles and the S11 parameters values changes as of the width of the dipole. Comparatively the antenna has a good gain and S11 values in frequency 6.5 GHz at the dipole width of 4mm. This antenna finds its way in medical fields to improve the communication inside the automotive vehicles. The proposed antenna is a reconfigurable antenna, which has good gain at multiple frequencies. The reconfigurable is made possible using Metamaterials. The Antipodal structure of the antenna is due to presence of multiple planar types in the antipodal structure of the antenna. Even if the frequency not properly received by the antenna, the reflector plane reflects the frequency towards the one plane at the back of the brick, so the gain is maintained at a desired level.
Smart Traffic Assistance System for Ambulance Vehicles using Internet of Things
Authors: Bharathi K. Maignana , Siddharth S. Suman , Uthirasamy R 
Published: May 2021

Abstract
The traffic lights also referred to as traffic signals are used to provide assistance in controlling city traffics and streamlining the present traffic situations. The traffic lights are used since 1868. They are employed by traffic sergeant to avoid congestion and to concern about the right flow of traffic in cities. As years passed, these lights are evolved with automatic controls, pedestrian supporters and so on. There are several standards followed in implementation and design. The intelligent traffic light controller is designed to develop a traffic signal based on avoidance of traffic congestion and also innovative control to clear the traffic for emergency vehicle. The ambulance would have a transmitter within it, which would transmit a signal to the receiver side, this will enable green signal in the corresponding pole. The light of the signal is controlled by automatic timers which are built in by discrete components. Arduino boards are used to control the automatic timers. This module helps to save the lives of many people as well as to avoid congestion.
Quality Control and Communication in Smart Grid Using IED & PLCC
Authors: Ovaiz Mohammed , Katta Pradeep , Senthil Kumar R , Jaya Prakash K , Santhosh S , Sathish Kumar K 
Published: May 2021

Abstract
In the era of growing power demand and power networks, continuous supply of power and data exchanges is inevitable nurturing the implementation of smart grid technology. The smart grid is a self-healing technology which promises the electricity consumers to be an active participant. However, Intelligent Electronic Device (IED) supports the SG as the backbone for operation imparting the functionalities such as protection and monitoring the power networks. But the limitations of the common IED are its finite allocation of functions without modifying its hardware. Moreover, these IEDs confront the communication problems during natural calamities and other network failures as it adopts the cellular communication topology. The limitations mentioned above can be overcome by adopting the flexible IEDs integrated with signal conditioning, filtering and discretization functions along with the implementation of Power Line Carrier communication. The flexible IED and the PLCC extends the scalability of the most reliable and highly efficient smart grid architecture.
Energy Management Optimization in a Hybrid Energy Storage System for Electrical Vehicle Transportation
Authors: Sijini Aarim C , Nivetha K , Ganesan S , Imran M S , Vignesh E 
Published: May 2021

Abstract
The various application such as hybrid electric vehicles, operating devices based on renewable energy, devices used for storage of energy make use hybrid energy storage system. The main purpose of hybrid energy storage system is to provide stable power and supply power to the particular application. The proposed idea in this paper is suitable for different application which are having high voltage gain or high output dc-link voltage, low-power and multi-output applications. This paper have an idea to design and control the power flow of a hybrid energy storage system. This make use of soft switching modulated dc – dc converter in the secondary side. This paper implement extended zero voltage switching range. In this paper Energy Management Optimization in a Hybrid Energy Storage System for Electrical Vehicle Transportation is simulated using Simulink model
Simulation and Measurement of Conducted Emission in DC-DC convertor
Authors: Uma Maheswari Y. , Amudha A. , Kumar L. Ashok , Nagasaravanan K. , Sundaram Mohana , Dhayaneswaran Y. 
Published: May 2021

Abstract
In recent days testing of a product with the EMI standard using test set up is a mandatory as most of the product has the electronic circuitries which possess the high-speed signals. This paper discusses about the conducted emission and the implementation of filters for mitigating the conducted electromagnetic emissions. A DC-DC Buck converter which can be used in vehicle electronics was simulated using the software tool with and without filter and the results were analyzed for mitigating the conducted electromagnetic emission.
Smart voting using Fingerprint, Face and OTP Technology with Blockchain
Authors: Katta Pradeep , Mohammed Ovaiz A , Prabaakaran K , Divya M , Jayashree G , Keerthika D 
Published: May 2021

Abstract
As we all know India is a largest democratic country, the best form of our government is one which allows the citizen to cast the vote and elect the leader of their choice. The future of our country and fate of citizens all lies in a single vote. Traditionally we used ballot papers to vote and the votes are counted manually, which consume excess of time. Then ballot papers are replaced by electronic voting machine as it consumes large time to count the votes and due to the error involved in the manual counting process. The electronic voting machine gives quick publication of result which is accurate. The one that are temporarily out of their voting stations will have difficulties in casting their votes. The online voting should be adopted, as the current process is not flexible for voter’s convenience, online voting will increase the number of voter’s participation in the election. The proposed system will give trust and confidence to voters that the proposed voting system will provide protection to votes and as well as who cast their votes. In our proposed system, we have altered level of safety in voting process which provides reliable and secure voting. They are iris recognition, finger print and OTP. Next the voting portal is accessed and vote is encrypted by the blockchain end to end encryption.
Inductive Load power factor Correction using Capacitor Bank
Authors: Shanmugapriya M , Sijini Aarim C , Srinivas V T , Karthick M , Pavan S 
Published: May 2021

Abstract
At this time, efficient power generation is critical because power leakage is a global problem. The power factor of a machine tests its power efficiency and is a significant factor in improving supply quality. A low power factor caused by high lot of utilises of inductive load is often ignored in the majority of control systems. A power factor correction unit will enable the system’s power factor to be restored to near unity for cost-effective operation. Reduced power system losses, enhanced load carrying capabilities, improved voltages, and other benefits of power factor correction are only a few of the benefits. The aim of this program is to develop an Power Factor Correction Unit which can monitor a system’s energy consumption and increase its power factor. For accurate power measurement, an open source energy monitoring library was used in the design. The energy monitor unit measures the reactive strength absorbed by a load network and uses capacitor bank to compensate for the lagging power factor.