bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sign Language Recognition Using Convolutional Neural Network
Authors: Nandhini A Sunitha , Shiva Roopan D , Shiyaam S , Yogesh S 
Published: May 2021

Abstract
Sign language is a lingua among the speech and hearing-impaired community. It is hard for most people who are not familiar with sign language to communicate without an interpreter. Sign language recognition appertains to track and recognize the meaningful emotion of human-made with head, arms, hands, fingers, etc. The technique that has been implemented here, transcribes the gestures from sign language to a spoken language which is easily understood by the listening. The gestures that have been translated include alphabets, words from static images. This becomes more important for the people who completely rely on gestural sign language for communication tries to communicate with a person who does not understand the sign language. Most of the systems that are under use face a recognition problem with the skin tone, by introducing a filter it will identify the symbols irrespective of the skin tone. The aim is to represent features that will be learned by a system known as convolutional neural networks (CNN), which contains four types of layers: convolution layers, pooling/subsampling layers, nonlinear layers, and fully connected layers.
Identification of spammer and fake accounts on social networks
Authors: Alaguvathana P , Suganya R , Ilampiray P , Sriraam N , Premkumar M 
Published: May 2021

Abstract
The existence in the electronic world is dominated by rechargeable conversations. The emails from advertisers and online communication companies end up being junk most often because their receivers are bombarded with promotional messages which are meaningless to them. Unwanted emails are a form of email correspondence. Because of email spam, there is a requirement to block and separate undesign ned messages. Many email-snoise ltering algorithms and computing techniques have been developed, but spammers continuously adjust their spam methods to stay one step ahead of them. We present here a method which makes use of binary and continuous probability distributions for the creation of spam. Naive Bayes and Decision trees How much model error affects the decision tree’s efficiency and accuracy is measured. The classi er with the best accuracy to correctly distinguish non-spam and nonspam emails has been found. this error also results in increasing the roll-out of invalid information to unnecessary customers, as well as increasing the probability of including harmful elements. The problem of spammers and scammers in today’s online communities has been known in some circles for some time. At the moment, play out a search of ways to identify Twitter spam methods A conceptualisation of the Twitter recognitions shows that the techniques lean toward recognising fakes, (ii) in places, (iii) web clients, and (iv) spammers use URLs to assist in making the product. Furthermore, the procedures may be analysed, including, for example, customers, material, structure, and time. It’s reassuring to know that this exhibition would be a source of understanding for researchers on social media on their own.
Forest Fire Alerting System with GPS Co-ordinates Using IoT
Authors: Maheshwari Latha , Janet J , Jeevanandham S , Kausic S , Manish M 
Published: May 2021

Abstract
In the advancing world, it is very crucial to protect our environment. Many incidents of man-made and natural disasters were happening around the world. Forest fires are one such catastrophe for environment. Once the fire inside deep forest starts, it burns and destroys everything and spreads everywhere within the forest. Such forest fires disasters should be curbed in order to protect fauna and flora habitats in the forest. The objective of this work is to design and implement an IoT based system which is self-sustaining and would predict and detect the forest fires and sends the exact location to concerned officials which would help firefighting personnel to extinguish the fire in the location where it starts slowly.
Reduced Switch Count Multilevel Inverter with Fault Diagnosis Operation
Authors: Vivekanandan S , Hari Priyadharshini A , Harshinee Sakthi S , Hephzi A 
Published: May 2021

Abstract
This paper proposes a reduced switch count multilevel inverter with fault diagnosis operation to overcome the problem of a higher number of switches in a multilevel inverter and fault detection in a multilevel inverter. A multilevel inverter is a power electronic device with low switching losses and low total harmonic distortion that is used in high voltage and high power applications (THD). In a standard inverter, it’s often used to minimise the size and number of passive filters. The H-bridge topology is needed for the proposed model of reduced switch count multilevel inverter (RSC – MLI). It is used to achieve higher power ratings as well as to promote the use of renewable energy sources. It reduces switching errors and the number of power electronic switches, cost and lower order harmonics. As the number of levels and steps in the waveform increase, the harmonics in the output voltage waveform decrease, resulting in an ideal waveform that looks like a sinusoidal waveform, which reduces the harmonics at the output. Switching losses and power losses can be minimised by using a limited number of switches.
Elliptically Bended Coupler with Arbitrary Power Division
Authors: Chandra Prasad V , Deepika S , Jeevitha E , Hariharan N , Harikrishna M 
Published: May 2021

Abstract
In this paper, we propose a 1.8 GHz microwave coupler with arbitrary power division. It consists of a wideband unequal power division hybrid coupler with higher-order harmonic filtering that covers all GSM (0.8 GHz – 1.9 GHz) and WiFi (2.4 GHz) bands. The architecture consists of a 4 port unequal power division, which is usually of the 0° and 180° coupler types.
Automatic Sensor Network analysis for Landslide Detection System
Authors: Reethika A , Prakash T M , Pranao S Kavin , Raj D Karan , Kumar K Rakesh 
Published: May 2021

Abstract
Landslides is one of the most dangerous geologic hazards that can occur in almost any country on the planet. Landslides kill and injure thousands of people each year around the world, as well as cause significant losses in a short period of time. To save many lives, effective technology must be developed in a timely manner. Sensor Networks is a vital role to monitor the environment. Several online and real-time intensive care studies on landslide recognition were conducted on soil dislocation caused by non-natural rainfall and earthquake. To build an advanced level early warning landslide monitoring system based on the “Internet of Things” using a wireless sensor network. This is a high-level project that can monitor the earth’s vibrations, temperature, humidity, and soil moisture. All of these sensors are linked to various IoT Nodes, which form the entire network. The number of nodes may be increased or reduced depending on the situation. A single Blynk-designed smart phone software is used to track all of the Landslide detection nodes. Data from sensors reveals that each parameter has the potential to be used in landslide monitoring.
Health Monitoring System Using IOT Sensors Network
Authors: Maheswari Latha , Singh T Jimry , Balachandran M , Varsan S Hari 
Published: May 2021

Abstract
In healthcare not only sensory instruments, but also in connectivity, recording and display systems, technology plays an important role. It is important to keep track of different medical parameters and post-operative days. As a result, the most recent advancement in healthcare communication methods using IOT and LIFI has been adopted. The Internet of Things (IoT) acts as a catalyst for healthcare and is used in a wide variety of applications. The Arduino microcontroller is used as a conduit in this project to connect with a variety of sensors, including a temperature sensor, a respiratory sensor, and a heart rate sensor. The microcontroller collects sensor information and transmits it via IOT to the network, and thus monitors medical parameters in real time. The physician will view the data at any time. Furthermore, the controller is attached to the buzzer to signal the controller to change the sensor output. The key problem with remote patient surveillance systems is that only approved users can view data remotely and provide the data for the target end. The issue of protection can be solved by sending documents over the internet, which is secured by password, and the doctors will access the information via the html web page. Warning message is sent to the doctor via IOT attached to the controller next to the instance of extremity. This is why this machine can effectively accomplish rapid provisional medicines. With low energy consumption, fast set-up, high performance and time to time response, this device is capable.
Swallowable Glass Pill for Digestive Motility & Toxin Detection Using Cell-Based Biosensor
Authors: Suguna R , Shanmugapriya M , Nishanthi S , Saranya V , Sowmiya J 
Published: May 2021

Abstract
Beginning from the era of evolution, humans are biased towards constructivism to subtle the amplitude of strains confronted due to the dominance of will to ease the tasks. Enhancement of health and prevention of delicacy is inevitably predominant in the evolutionary trajectory. Delicate diagnosis is still serving as the contemporary hassle in the biomedical domain. Meanwhile, the bias towards the digital pills shows the hockey-stick traction among the experts and masses anticipating accurate diagnosis. Imparting the interdisciplinary contexts, smart drug adopting the principles of micro technology is capable of sensing the pH level, temperature, conductivity, DO (dissolved oxygen) and so on. Though there are many ways to deliver the smart pills inclusive of oral, transcutaneous and implantable drug delivery, the most opted delivery method is swallowable smart pills. Therefore, the paper approaches with the incremental smart pill technology integrated with cell-based biosensor for monitoring and analyzing the gastrointestinal motility through which the transit of ingestion and motor function can be diagnosed and toxins are detected such as mycotoxin, food-borne toxins, marine toxins and botulinum neurotoxins with more accuracy.
IoT based smart grid using node MCU
Authors: Revathi R , Nivedhitha A , Priyadharshini J , Rashmithaa K M 
Published: May 2021

Abstract
In recent decades energy crisis and global warming has raised, so we have motivated development and use of sustainable, alternative, clean sources. We have added the renewable energy sources, that is solar generation for the energy production. Smart grid enables integration between conventional power and renewable energy sources. This paper describes about the usage of grid power and renewable sources in an ideal manner. This aims at designing and developing a smart grid system with the use of renewable energy and IoT technology. The ultimate goal is to provide No-interrupted sources daily needs and for the future.
An IoT Based System for Monitoring the Environment
Authors: Duraipaandiyaan A P , Sathyamoorthy S , Vishnuvardhan M , Devi S Siamala 
Published: May 2021

Abstract
Air pollution is one of the biggest challenges of our daily lives. It affects human well-being by hypersensitivity and other pulmonary infections, which can lead to death. The growth of industries and automobiles donates more to air emissions. Natural air is important for all humans, and various developments have been used to constantly check air quality. This role offers a kind of continuous observation system for atmospheric emissions where the grouping of large poisonous gases into the air is detected using cost efficient sensors. This system shows the air quality reliably in a cloud by using an Internet of Things (IoT) scene, which is efficiently experienced from our PC or PDA. Nevertheless, the system includes an arrangement to store previously estimated details. This helps experts to study the air existence of the territory they are searching for a while for important purposes. Likewise, the frame identifies air quality and sends signals to the partners when the assessment of pollutants rises above a specified amount. In addition, it can be well implemented everywhere to check air quality in a smart smaller plan.
A Novel Session Password Security Technique using Textual Color and Images
Authors: Kavitha Rani P , Sai Krishna R , Siddarth U S , Vidya Sagar E 
Published: May 2021

Abstract
Traditionally people will be using a weak password that has to be often changed can be influenced by a dictionary attack, shoulder surfing, and other methods of password cracking. After the past years, graphical passwords came into existence however; they are not as useful as the traditional password method, since they take more time to authenticate the passcode. As a result, this paper has taken a study of session password strategy in which the password is used only once for each session and, as that session ends, the password no longer provides access. The suggested session password scheme would us a “text” session password. Once upon a time, textual passwords were the most often used technique for authentication. Password are vulnerable to many scenarios, such as shoulder surfing, social engineering attacks, and lazy password selection. Graphical keys are introduced as a way to express very important passwords. Nearly all of the graphical schemes are vulnerable to shoulder pack design. To contend with the downside of being unable to remember passwords, pictures may be used to pair with session passwords for authentication. A session secret of a completely new password can only be used any time a new password is created. During this article, two approaches are expected to become a welcome cure for depression with an in-session approach that is unpredictable to shoulder ache and color. Strategies for Digital Assistants that is suitable for private uses. The proposed system measures the security and usability of the proposed system and displays the assistance of the proposed system to shoulder surfing assault.
Real-Time Social Distance maintaining using Image Processing and Deep Learning
Authors: Senthil Murugan K R , Kavinraj G , Mohanaprasanth K , Ragul Krishnan B 
Published: May 2021

Abstract
Quite possibly the most and best measures to contain the new popular episode is that the upkeep of the purported Social Distancing. The widespread Covid infection 2019 (COVID-19) has carried worldwide emergency with its lethal spread to very 180 countries. This paper shows the procedure for social separating recognition utilizing profound figuring out how to check the space between individuals to relieve the effect of this Covid pandemic, this content proposes a profound learning based system for robotizing the assignment of observing social removing utilizing reconnaissance video. Revelation instrument was made to form people mindful of manage an ensured distance. An information from the camera source utilized as video graph, as necessities be the open-source object territory model maintained the YOLOv3 object divergence model to disconnect people from the inspiration and Deep-sort thanks to affect oversee follow the apparent individuals with the assistance of bobbing boxes and dispatched IDs. The space between people is much of the time evaluated and any defiant pair of people inside the introduction are shown with red packaging and line. The future procedure was affirmed on a pre-recorded audiovisual of people by walking around and about. The outcome shows that the proposed strategy is in a situation to work out the social removing measures between various individuals inside the video. These system are consistently moreover developed as an ID mechanical assembly continuously application.
IoT based Intelligent Car Security System using IRIS image features
Authors: Babu G , Soniya M 
Published: May 2021

Abstract
A major crisis for car owners is that they are in persistent fear of having their vehicles stolen from parking area or outside their dwell. Connected to vehicles, cyber security takes on a much progressively imperative job such as frameworks and segments that administer security must be shielded from unsafe assaults, unapproved access and harm. Image processing based real time vehicle theft detection and prohibition system provide an optimum solution for this issue. This project provides a solution for car hacking and theft detection with the help of image processing-based application by using embedded system. All articles must contain an abstract. The IoT based iris door lock and unlock is the optimal method for the security in automative domains. From this work can understand the concepts of digital image processing and iris recognition to a greater extent.
A Secure Digital E-Voting Using Blockchain Technology
Authors: Geetha S K , Sathya S , Sakthi Sree T 
Published: May 2021

Abstract
In digital electronic voting security is always the biggest anxiety. In existing system, the EVM system used, when compare to the conventional paper ballot system EVM reduces the time for casting vote and result announcement, but still having many issues there is the risk that the election authorities can able to change or remove the vote therefore chances for violating its secrecy. The entire system may rigged by any third party. Blockchain technology provide secure electronic voting platform, which is a decentralized, peer-to-peer transaction ledger enables every vote that is casted will be consider as an individual transaction which creates transparent and secure environment for elections, where the users will be able to cast their votes only once and will be able to view the total votes casted in real time without having the permission to edit the same after election gets over. These votes will be counted and the results will then be announced. This work achieves by solving the issues of digital voting systems and a mechanism to boost the number of voters and their trust in the electoral process.
Text mining methods for online topics and reviews using machine learning
Authors: viraja ravi S , Dilip kumar B , Gokhul Raj S P J , Divyacharan A 
Published: May 2021

Abstract
The objective of recommender frameworks is, fundamentally, to assist individuals with finding things they may like, i.e., things that fit their inclinations, character, and needs. Depending on the individual space, those things can be books, films, music, inns, and significantly more. Normally, suggestions are in view of past client collaborations (e.g., films a client saw, lodgings a client booked, and so forth) This work in progress paper centers around news recommender frameworks. In view of the idea of information (e.g., continually new things, short thing lifetime, and so forth), proposals in view of past cooperation are particularly difficult to make. Subsequently, news recommender frameworks intensely depend on the genuine substance of information. While past work fundamentally considers one part of the substance of news stories, we together examine and talk about in this work a given corpora of news stories on three unique levels (i.e., archive level, subject level, and creator level). The generally point is to set to give the premise to an extensive news recommender framework, which comes to past exactness and considers likewise variety and luck. We exhibit that significant data can be extricated out of a given corpora, and contrasts in creator, time, and theme can be appeared. Moreover, the creator level investigation shows that records can be grouped in view of the composing style of creators.
Smart Home Automation System Using Wireless Sensor Networks
Authors: Thanveer Ram R , Saron Sekar G , Syed Ibrahim M Z , Balaji V R 
Published: May 2021

Abstract
The architecture explains how load energy consumption readings can be digitised and shared through the internet. Human presence in electricity maintenance is eliminated with the proposed machine style. By having a channel id for the load, A webpage can be used to monitor energy usage in watts. The webpage makes use of THINGSPEAK analytics to look at energy use and provide a detailed overview and visual representation of the data. The Wi-Fi unit performs Cloud computing by providing load energy data to a website usable via the device’s channel id.. Client can control resources inside the proposed framework by tracking energy consumption over time. The Arduino microcontroller is used in this system. The created unit is frequently shown on the webpage via the Wi-Fi module. Wireless Sensor Networks, Power, Voltage, Current, and ZigBee are some of the terms used in this paper.
Deep Learning Based Multiple Object Detection
Authors: Karthika J , Mohammed Imtiaz H , Deepakdharsan M , Akash B , Adimulam U 
Published: May 2021

Abstract
Improvement of automation increases rapidly by deep learning-based object detection. If the small objects are detected by YOLO V3 network, the identification result will not be much successful, so we introduce new technology to find the very small objects by 8X downsampling rate. We modified the YOLO V3 network using LaSOT with the help of anchor values and prediction layer of 4X downsampling layer, this helps to detect very small objects very accurate.
Proposing A Table for Weighing The Characteristics of Stratified Samples Instead of Mathematical Equations to Study Soil Characteristics Statistically
Authors: Al-Juraysi S. M. , Mhede I. R. 
Published: May 2021

AbstractWe sampled a total of four sites and four soil characteristics were selected to review some results and how to calculate the weight of these characteristics. This method of weighing soil characteristics can used in some soil surveys and classification studies, especially with regard to land evaluation and degradation studies, as well as characteristic variations, especially the delineation of soil horizons are affected by lateral and vertical variation in soil properties, which are texture, gypsum, lime, ECe, ESP, and CEC as their importance increases at the soil surface and decreases with depth as it is related to plant growth and nutrient processing, and thus it was given more weight in the upper horizons and less weight with depth, as well as studies that are concerned with finding a single value representing the pedon and not depending on the value of the characteristic in the surface horizon only. This suggested table helps in making the calculations easier and eliminates the use of the scientific calculator by converting the results of the equations in the form of a table that contains all the possibilities of variation in the thickness of the horizons. These values have been set to more than the effective depth of the soil, which is adopted within the first meter. The table has been designed for a depth of two meters in case the study requires more depths.