bluuebunny/crossref_metadata_2025_split huggingface dataset:
GIS Applications for Water Resources Conservation Through Hydrographic Surveys in Chikarayapuram and Pammal Abandoned Quarries
Authors: Narayanan Dr. RM. , Radhika Dr. K. , Vijayalakshmi AR. , Niranjana V. 
Published: December 2020

Abstract
During the year 2017 the Chennai metropolis was facing a severe drought due to failure of monsoon rainfall and starved even for drinking water. A scientific study has been carried out using geospatial technology and echo sounders for the identified source of water from abandoned quarries towards estimating the quality and quantity. The study has identified the quantity of available water is 26,32,967 m3 from both the quarries and the water quality is suitable for drinking purpose and concluded with the recommendations of collecting the excess water (Floodwater) in Chikarayapuram Quarries, which can hold maximum of 0.55 TMC of water for water starving Chennai City with diversion of overflowing water channels to the abandoned quarries with minimal measures. The water in Quarry No.4, Pammal should be treated with hydrochloric acid and after additional water treatment techniques, the water can be utilized for drinking purposes.
Advancement in Automatic Glaucoma Classification from Fundus Tomography
Authors: Khatri Snigdha , Agrawal Shikha , Ahirwar Manish 
Published: December 2020

AbstractMedical imaging is an indispensable aid for the patient's prognosis as well as observation. Early diagnosis of any kind of disease always plays an important role in the field of medical science. Glaucoma is one of the chronic disorders of the optic disc in which fluid pressure within the optic increases and if left untreated; the patients may lose their vision and even they may pertain total blindness. Glaucoma is an incurable disease, the only way to prevent any serious loss is its prevention by determining the risks at an early stage. It has also been mentioned as the “Silent theft of sight”. Without showing any instant symptoms and consequences, it traps the patient and affects them in the long run. Glaucoma recognition involves the measurement of shape and size of the optic disc. Here this paper reviewed various researches and concluded that most of the researches are targeted to classify the blood vessels for broken vessel detection that signifies the Glaucoma in a better way. Accuracy may degrade due to incorrect or inappropriate masking.
Recommender System for Food Startup
Authors: Naga Raju M 
Published: December 2020

Abstract
Automatic suggesting models have been available already for item buying, films, and amusements. Demand for one such system for food delivery startup is picking up now. Main aim of this research work is to come up with design of one such recommender system for food delivery startup makes it to sustain in the business on long run through better understanding as well as retention of potential customers automatically. Zomato reviews data are taken for analyzing using some selected algorithms of machine learning. From them the best predictor model is picked up for building the final proposed engine. Underlying methodology goes like this, it first knows and learns about customers using past and near past data (training data) and using that knowledge it tries to draw results of current data. Accuracy of this result is then observed and pruned, if not up to considered bench mark, by employing bias-variance tradeoff as well as considering more reliable characteristics. Once classifier design with required level of accuracy is obtained and it can then be developed. The focus of the research is to design a system that facilitates automatic recommendation for food startup to know and retain its good restaurants aggregation as well as potential users.
A Subset Feature Selection Based DDoS Detection Using Cascade Correlation Optimal Neural Network for Improving Network Resources in Virtualized Cloud Environment
Authors: Umamaheswari N , Renugadevi R 
Published: December 2020

Abstract
Cloud computing offers a technological revolution to the end-users need less infrastructure costs with virtualizes resources, and storage remains the insecure to delivers the scalability. The most common type of Distributed Denial of Service DDoS attack, (denial of service), is a serious damage measure that affects virtual cloud users and Internet Service Providers (ISPs) are predominantly affects ongoing service attacks. I'm the recipient. These legacy of machine learning approach used to detect vulnerabilities to the attacker's leading network traffic intervention opening the door. By concentrating feature selection and classification approach with optimized neural network model to detect the DDoS type monitoring. This presents a deep neural network based DDoS detection system using Subset Feature Selection based Cascade Correlation Optimal Neural Network (SFS-C2ONN). The proposed approach is based on assumptions based on flow rate which is collected as dataset previously extracted from a model for network traffic. The test results shows that the sensitivity and specify based calcification approach which is suitable for the detection of neural network architecture and hyper parameters, and the optimizer DDoS attack. The results are obtained by calculating the accuracy of the attack detection.
Credit Card Forgery Identification By Location Using Android Based Monitoring
Authors: Jemin V. M. , Vasanthan P. 
Published: December 2020

Abstract
In cellular network, the user’s location is probably used as an authentication aspect similar to other elements like password, PIN range combined with the use of device that the person consisting of card or a mobile. An encrypted and decrypted key is generated using RSA. The generated values are send to user’s cellular as SMS. The user’s mobile region is identified by the place of use far flung customer authentication protocol and its integrity is proven by Galileo Navigation satellite known as Local element. We proposed an LRAP based method for secure transactions.
Analysis of Oral Squamous Cell Carcinoma into Various Stages using Pre-Trained Convolutional Neural Networks
Authors: Ramalingam A. , Aurchana P. , Dhanalakshmi P. , Vivekananadan K. , Venkatachalapathy V. S. K. 
Published: December 2020

Abstract
Oral cancer is a commonly prevalent disease in the world. Cancer begins when alterations in healthy cells take place and grow gradually. Finally, it forms a mass called cancer. In general cancer can be classified into malignant and benign. In malignant, the cells can grow and multiply affects other parts of the body but, benign does not spread. Among the cancers in the South East Asia, the cancers in oral cavity ranks among the third most common types of cancer. Oral Squamous Cell Carcinoma is a highly prevalent oral cancer affecting the head and neck more than 90% than other parts of the body. Until now, classification of Oral Squamous Cell Carcinoma classification into various stages is based on the cytological and architectural change which relies on the pathologist. Every pathologist while assessing the lesions of Oral Squamous Cell Carcinoma into various stages led to mistakes. To overcome this, Computer Aided Diagnosis gives the exact stages of Oral Squamous Cell Carcinoma into poorly differentiated, moderately differentiated and well differentiated. In this work, two Convolutional Neural Network Architectures Inception-v3 and Resnet50 are used as feature extractors. Then, the derived features are given to Multi-class Support Vector Machine and Random Forest. Random Forest and Multi-class Support Vector Machine classifies the Oral Squamous Cell Carcinoma into various stages namely poorly differentiated, moderately differentiated and well differentiated. The features obtained from Resnet50 when given to Random Forest gives the satisfactory performance of 92.08 %.
Performance evaluation of Energy Efficient algorithm using Spatial Trusted and Energy Aware Trusted Distance routing in WSN
Authors: Rajasekaran M. , Ayyasamy A. , Jebakumar R. 
Published: December 2020

Abstract
Energy efficient routing is the most important design criterion for WSN (Wireless Sensor Network) as the nodes are either powered by batteries, or by other external power sources. In a Sensor network, the nodes communicate with each other in a multi-hop fashion. The availability of each node is equally important to the proper functioning of the network. The power failure of nodes greatly affects the overall performance of the network. The Quality of Service (QoS) has been measured using the parameters of data quality, energy utilization and position of the sensor nodes. In this paper Energy efficient routing algorithm called Location and Energy Aware Trusted distance source routing (LEATDSR), Energy-aware Spatial Trusted Routing algorithm (ESTR) and Intelligent Weighted Fuzzy Cluster based Secure Routing Algorithm (IWFCSRA) were analyzed in term of energy efficiency performance. This paper implements LEATDSR, ESTR and IWFCSRA by using NS2 simulator. Energy Consumption and Security Analysis are used to evaluate LEATDSR, ESTR and IWFCSRA routing protocols performance analysis in WSN.
Analysis of Quality of Service in VANET
Authors: Srivastava Akshat , Verma Sahil , Kavita  , Jhanjhi NZ , Talib M N , Malhotra Atul 
Published: December 2020

Abstract
VANET as Inter-vehicle communication is becoming a promising area of research, standardization, and growth with the ever-growing number of vehicles equipped with computer technology and wireless communication tools. Due to its erratic portability and the interrupted availability of a network, VANET is relatively incomprehensible for a strong end to end communication, In Vehicular Network the main advantage is that it communicates by using nodes. Because of its simple and basic method of communication, MANET is used most often in the military, just like data sharing between different computers. VANET and some modifications are identical to MANET. VANET encompass the mobile nodes which are indicated as (MN), The vehicle networking system has drawn significant interest from academia and industry since its establishment. Its technology is used for military purposes by several foreign manufacturing and government sectors, it also enables a wide range of applications, including collision prevention, security, blind crossing, dynamic route planning, traffic condition monitoring on a real-time basis, etc but there are certain loopholes or drawbacks like frequent network drop, high mobility which affected the overall QoS, In this paper, there are brief analyses on Quality of Service which include certain Routing Protocol like DIVERT, FBAODV, DSR and also to decrease the congestion control, there is a comparative study of the different protocol which evaluates in increasing the throughput and network efficiency.
Secure Surveillance System Using Chaotic Image Encryption Technique
Authors: Ghosh Gopal , Kavita  , Verma Sahil , Jhanjhi NZ , Talib M N 
Published: December 2020

Abstract
In the current data transmission situation, digital images constitute a large part of visual communication. Their security is thus an essential field of concern. This paper analyses several chaotic maps for the encryption of images and discusses their advantages and disadvantages. The characteristics of chaotic maps such as stochastic, ergodicity and highly sensitive initial conditions allow them reliable to encrypt images. Many of the previously proposed imaging approaches used chaotic, low-dimensional charts that display the lowest security and have very less potential to handle force and attacks. To solve this challenge, scientists have proposed multiple broad chaotic charts. In this paper the characteristics and techniques of some chaotic maps used to encrypt images were reviewed. Also for images like boat, airplane, peppers, lake, house chaotic encryption is applied and analysed.
Stability Analysis of Dedicated Green Energy Corridors and Enhancement of Renewable Energy Evacuation
Authors: Sheeba Percis E , Nalini A , Jijina G O , Jenish T , Jayarajan J , Chelladurai  , Selvarani N. , Sendilvelan S 
Published: December 2020

Abstract
This paper aims to analyze and investigate the influence of RES on 400kV transmission system in Tamil Nadu state which has the highest amount of Wind/Solar generation installed in India and huge addition of other RES, has been considered to study the impacts of increasing Renewable Energy Resources on proposed TN - Green Energy Corridors with regards to stability of the system and to suggest the improvements required to enhance the of the Corridor. Quantification of maximum power transferred from remote areas where renewable sources are pre dominant to Load centers through Green Energy Corridors also observed. Increasing Renewable Energy penetration in a power system means that RERs substitute the conventional power plants that traditionally control and stabilize the power system. Further, this project also covers the importance of Dedicated Transmission Corridors to facilitate large scale integration of renewable into the grid and identify the possibilities to evacuate the RES generation to the Load centres which ensures maximum RES usage and reduction in RES curtailment. Renewable Energy Management Centre (REMC) equipped with advanced Forecasting Tools, Smart Dispatching solutions & Real Time Monitoring of RE generation, can closely coordinate with the Grid Operations team for safe, secure and optimal operations of the overall grid.
RFID and GSM based Automatic Dispensing and Monitoring of Sanitary Napkin Vending Machine for Menstrual Hygiene among Women
Authors: Vijendra Babu D , Subramanian P , Karthikeyan R , Akash N , Phanindra U , Hemanth G 
Published: December 2020

Abstract
The availability of Sanitary napkin pads is very much essential for the menstrual health of women in India. The cultural taboos associated with the menstrual health as well as the cost of the pads prevent are forcing many women to adapt to home-made clothe pads which are unhygienic and uncomfortable. Research has been going on in the manufacturing of low cost sanitary pads. The timely availability is more important than the cost of the napkins. In schools and colleges or in public places like railway stations, airports, bus stations while travelling people might find it difficult to find the stores or shops selling the napkins. Hence it is necessary to have a vending machine for easy access and availability at all times. The drawback of the system is that once the stocks are used up there is a time lag before the refilling of the stock. This can be solved by having a vending machine which accepts non cash transactions as well as that can inform the maintenance people the stock position. This helps in timely replenishment of the stocks to ensure round the clock availability.
RETRACTED: Efficiency improvement using combined thermal heat exchanger for solar pv based water pump
Authors: Jensie Anita S , Shaji Joel Thomas , Adwaith V , Akshay Mohan S 
Published: December 2020

Abstract
In this project we are proposing a system which helps to improve the efficiency of Solar PV based agricultural water pump using thermal heat exchanger. We tried to reduce the temperature of the PV panel using thermal heat exchanger and we also installed an IDBB converter. In this way we can increase the voltage and efficiency of the system. Predominant elements of the framework, for example, the impact of sun powered radiation on engine force, ebb and flow, and water release are thought of. The proposed water system technique is more precise and proficient than the regular water system strategies as far as the measure of the water utilized for water system, and the exactness of flooding times dependent on changing neighborhood atmosphere.
Tracking of any intruder on territory border using 360-degree radar and sensor
Authors: Saranya D , Nanda kumar R , Arun kumar P , Sugumar B J 
Published: December 2020

Abstract
In the era of modern world, lot of human lives are engaged with this perilous procedure of observation. Reconnaissance is a perilous activity. There is consistently a danger of getting trapped in spying, so we plan to discover safety with no risk. Doppler radar used for producing true results considering all army activity involved with data during transmission. This project presents an approach in detecting an intruder in a border using Doppler radar-based Intrusion Detection Systems which can be mounted on watch towers, grill fences, top of trees etc., Experimental results show that the use of the display as classifiers are more efficient in malicious intruder accurately. The data collected from the sensor and transmit through the Lora WAN to the hub. The performance of the Intrusion Detection System (IDS) is evaluated in comparison to other classifiers, displaying the testing accuracy, sensitivity, specificity, and precision. Doppler based Intrusion Detection Systems have shown increased efficiency and low false positives. It has the advantages of working in all weather conditions such as heavy sunshine, heavy rainfall with proper data.
Pregnant Women Health Monitoring System Using Embedded System
Authors: Hema L K , Amalna  , Anil Athira , Kanya  
Published: December 2020

Abstract
In this paper, we present a device that is used to measure the fetal heart rate during the time of pregnancy. The major component used for this detection is Fetal Digital stethoscope sensor which is to be placed on the abdomen of the pregnant and the signals are processed by the micro-controller used and the accurate fetal heart rate is identified and sent as a text message to the respective mobile phone through the usage of GSM module and also by the usage of EMG sensor the uterus contraction also be simulated as the output on the desktop. This system is very flexible and low cost helps the patient to monitor the fetal heart rate in home.
IOT Based Real-Time Control and Monitoring System for Food Grain Procurement and Storage
Authors: Hema L K , Velmurugan S , Sunil D N , Thariq Aziz S , Thirunavkarasu S 
Published: December 2020

Abstract
Nowadays, healthy and risk free foods play an important role in our day to day life. So it is necessary to monitor the environmental conditions and parameters which are inside the grain (Barley, Brown rice, and Buckwheat) storage containers and taking care of it. In our proposed system a set of sensors which are integrated inside the grain storage containers and our prime objective is to provide an effective, secure, easily accessible storage in unpredictable weather conditions. In the process of grain storage, temperature and humidity are two factors that can affect the quality of grains. The overall structure of the proposed grain storage system consists of two components, one is the host computer located in control room for information processing and prediction of grain situation, the other is the computer terminal in the granary with grain data acquisition. The main purpose of the system is to acquire data from different sensors and transmit this data wireless connectivity through IOT(Internet of Things) to access the status of granary. If the parameters of the grains exceeds the specified threshold level then the exhaust fans are automatically ON to reduce the exceeded parameters namely temperature and humidity. The proposed system has good reliability, maintainability and cost effectiveness.
Remote Monitoring of COMA Patients Using Zigbee
Authors: Vijendra Babu D , Sitaram K , Reddy Venkata Akhil , Kumar Pavan , Ramki  , Rajesh Kumar T 
Published: December 2020

Abstract
It is essential to monitor Coma patients continuously for understanding their health status. Smart sensors are used in gesture recognition in biomedical applications. The proposed system is designed with Flex sensors, Eye blink sensors, MEMS body sensor for monitoring continuously. Flex sensor detects the movements in hands and sends information in wireless. Eye blink sensors detects in any motions in the eye & MEMS detects the patient’s leg movements. Sensor signals are transmitted by Zigbee and viewed in PC in the absence of Physician. Detection of change due to movements in real time video is very important tool change may be usually made the patients in the absence of the doctor, with the help of frames comparison approach. The proposed system will assist the Physician and sends alerts whenever it is required.
An Integration of dual UPQC controller for power quality compensation by extending its voltage regulation at grid side as a STATCOM IOP: Conference Series
Authors: Sreenivasulu J , Rajasekhar S , Pandian A. , Srinivas Varma P. 
Published: December 2020

Abstract
This paper presents a modified controller by integrating dual unified power quality conditioners: iUPQC controller with its utilization in microgrid and power-quality applications. By utilizing this controller it extends the power quality characteristics just like the UPQC controller it offers reactive power regulation both at load-side bus voltage and at grid-side bus voltage, which also compensates voltage swell & sag. At grid-side iUPQC controller will work as a STATCOM, by providing all the conventional UPQC applications both at the grid-side and load-side. Simulink results are providing to validate the latest functionality of the apparatus.
Analysis of Z-Source Inverter fed Asynchronous Motor for Electric Vehicle Applications
Authors: Jyothi B. , Bhavana P. , Sarada K. , Srikanth M. 
Published: December 2020

Abstract
ELECTRIC VEHICLES are first introduced in 19th century but at the beginning, performance of electric vehicles is very poor in efficiency, speed, cost, controlling the vehicle. During this period IC engines plays major active role in transportation and even if the electric vehicles are having the above mentioned drawbacks, but extensively used in electric locomotives and various applications. There is a gradual incising the cost of petroleum products again the research looking back into electric vehicles. But the fast development of power electronics and the battery management system and the reduced size of battery push forward towards the progress of electric vehicles. Due to the drastic improvement in power electronics region the controlling of electric vehicles are become easy and the charging time also reduced drastically. In conventional Voltage and current source inverters, a voltage stress across the power switches is a biggest concern to improve the system efficiency. To limit the drawbacks of classical converters, in this work an impedance source inverter fed asynchronous motor is proposed. In turn control the electric vehicle operation both in accelerating and decelerating periods. The proposed inverter controlled various pulse width modulation control strategies and corresponding Total harmonic distortion analyzed. The DC link Voltage regulation, stator and rotor currents, torque and speed of the proposed asynchronous motor drive performance for the designed EV setup have been investigated through MAT LAB simulation.
IoT based climate prediction using ANN for green networking
Authors: Sheeba Rani S , Janet J , Ramya KC , Gomathy V 
Published: December 2020

Abstract
Weather forecasting plays a major role in various fields such as agriculture, transportation etc., It is also essential in prediction of natural disasters like Flood, storm etc., So in order to prevent the damages from such natural disorders, accurate weather prediction is essential. IoT topology is a combination of both hardware and wireless communication network utilized for real-time data analysis. Hence, this proposed topology formulated an IoT based weather monitoring using artificial neural network (ANN) for prediction. The main objective of this designed topology system is monitoring weather parameters such as temperature/humidity/pressure/rainfall etc., IoT is organized to collect data from sensors and is communicated through Wi-Fi network. ANN is tailored for weather prediction. The analysis proves that the proposed architecture shows better efficiency in weather prediction than the conventional methods.