bluuebunny/crossref_metadata_2025_split huggingface dataset:
Structural modeling for usability attributes on technology acceptance model for smart parking mobile application
Authors: Amiruddin A , Dewi R S , Widodo E 
Published: March 2021

Abstract
Smart parking is a mobile application that is created to overcome parking problems, although there are many smart parking applications developed in the world, only a few have a good interface design. One of the methods to assess the quality of the interface design is by measuring the usability of the application. Also, several studies have explored the relationship between usability and TAM (Technology Acceptance Model). However, is still lacking, especially about smart parking as an object. Due to that, this study focuses on determining usability attributes in smart parking applications and also modelling that usability attributes to TAM. This study using SEM (Structural Equation Model) method for modelling the relationship between Usability and TAM. The goal is the model could be used as a guide by application developers to see what factors must be considered when designing a smart parking mobile application, and for future research, it is expected that the developed model can be used as a guide when measuring the usability of a smart parking application. This research proposed ten hypotheses and findings two hypotheses have no significant effect that would be explained furthermore in the result and discussion section.
Feature Fusion In Multimodal Emotion Recognition System For Enhancement Of Human-Machine Interaction
Authors: Veni S , Anand R , MOHAN DIVYA , PAUL ELDHO 
Published: March 2021

Abstract.
Emotion Recognition (ER) systems is very much important for interpersonal relationship. Emotions are developed by some physiological changes. The straightforward of this effort is to discover the competence of language and facemask elements to deliver the feeling exact information for enhancing the Human-Machine interaction. The techniques and systems used in emotion detection may vary depending on the features inspected. Since both these features complement each other, combining them results in higher performance in terms of accuracy of 94.734%. The proposed system was tested on ENTERFACE’05 database and real time video. For Video, Speeded Up Robust Features (SURF) and Gabor features are used.
Security of Finger Prints with Video Watermarking Techniques Based On DWT and SVD
Authors: Udaya Kumar Naluguru , Sandhya Gumasta , Bachu Srinivas 
Published: March 2021

Abstract
Content producers and service providers face highly important challenges in securing digital video content. As watermarking is an important copyright protection technology, this literature includes several methods of combining data into a multimedia component. Due to its increasing application, in recent watermark schemes, the Discrete Wavelet Transformation (DWT) is used. In this text we suggest a DWT and the SVDbased hybrid system. After the image is separated into four strips, we add SVD to each strip and adjust the specific values into the same detail. Modification at all frequencies allows a framework to be established that is consistent with a broad range of threats.
DCAECSCS: Divide and Conquer Algorithm Based Electro Cardiac Signal Compression Scheme
Authors: Bachu Srinivas , Shalini Thelapolu , Udaya Kumar Naluguru 
Published: March 2021

Abstract
The method of recording heart electrical activity over a period of time using electrodes implanted in the skin is referred to as electrocardiography (ECG). In constant patient monitoring, vast volumes of ECG data need to be treated. Therefore, when each time we need to track the patient’s heart condition, we have to store more details. It is very costly, however, to store, transfer and allocate bandwidth to this Meta data. Here, an effective compression technique has been applied to solve this problem in such a way that all the salient features that have been clinically needed can be preserved. We used the MIT-BIH ECG data database to validate the ECG.
Ecg Arrhythmia Signals Classification Using Particle Swarm Optimization-Support Vector Machines Optimized With Independent Component Analysis
Authors: Ramkumar M. , Ganesh Babu C. , Priyanka G.S. , Sarath Kumar R. 
Published: March 2021

Abstract
Cardiac Arrhythmia is one of the serious disorders which are most commonly found among humans larger in number. This study is based on proposing a novel approach for heart (Cardiac) arrhythmia disease classification. Many Machine learning algorithms are implemented for the cardiac arrhythmia classification from which the ECG signal are extracted from MIT-BIH Database. The main objective of this study is to do the classification of ECG signals to the normal and abnormal (Ventricular Tachycardia) category using PSO-SVM optimized with Independent Component Analysis using Genetic Algorithm. The extraction of ECG signal is done with twenty four features consisting of Normal and Abnormal clinical clusters. ECG Signals under these categories are extracted from MIT-BIH Arrhythmia database which is read in terms of P,Q,R,S and T voltage-time parametric signal. Genetic Algorithm and Particle Swarm Optimization together used to enhance the performance of the Support Vector Machine (SVM) classifier. Initially the SVM Classifier is designed and it is optimized by searching for the best parametric value where the discriminate function is tuned to extract the features under the best subsets and as a result the fitness functions which are classified are identified with better optimization. Additionally the PSO-SVM Classifier is allowed to undergo the adaptive mechanism wherein which the optimization factor is allowed to restrict the boundaries of classification of ECG arrhythmia with maximum accuracy by the implementation of Independent Component Analysis Optimization using Genetic Algorithm. The results are experimentally demonstrated with the comparison of PCA, ICA, PSO-SVM with ICA and G-ICA. Sensitivity, Specificity, False Positive Rate, True Positive Rate and Accuracy are the experimental parameters used for the performance metrics comparison to classify for normal and diabetic clinical condition. The parameters yield better results for PSO-SVM-ICA and G-ICA with respect to the above mentioned metrics. The Classification Accuracy is attained with 96% with best optimization strategies by using these hybrid classifiers.
RETRACTED: ResNet:A convolutional Neural Network for detecting and diagnosing of coronavirus pneumonia
Authors: Angeline R. , Vani R. 
Published: March 2021

Abstract
In this paper, ResNet a Convolutional Neural Network for detecting and diagnosing the lung disease Covid-19 pneumonia infection automatically. For identifying, Chest X-rays are widely used for diagnosis of pneumonia disease which affects the lungs. This paper provides an approach to detect and diagnose Covid-19 pneumonia and classify the chest X-ray images into two classes either Covid-19 pneumonia or normal utilizing CNN. This is done by training the CNN to differentiate between the normal and pneumonia chest X-ray images using a deep learning platform Pytorch. Image preprocessing technique has been applied in order to enhance the image accuracy. Python and OpenCV have been used.
Wavelet Region implanting watermark upgrades the security framework in Digital Speech Watermarking
Authors: China Venkateswarlu S. , Udaya Kumar Naluguru , Karthik Annam 
Published: March 2021

Abstract
The progressions in innovation helped us to use biometric characteristics to verify the people without having them physically. To limit unapproved people and to encourage approved people different human characteristics are used. Face, unique marks, retina, iris, and DNA are some of the biometrics which is used most often to identify people. For additional security in-person authentication and identification systems, a combination of this biometrics can be utilized. Voice can also be used as a biometric similar to other biometrics. Special equipment and computer systems are required to separate this biometrics. This work helps to enhance security by upgrading the modules and embedding the watermark in the speech signal, in-person verification systems. Speakers are validated based on the watermark present in the speech signal. Energy calculations are performed for detail coefficients to select the coefficients where the watermark has to be implanted. The coefficients with less energy are selected for watermark embedding. Inverse discrete transform is applied on approximation and detail coefficients to produce the watermarked speech. The exhibition of the work is assessed by utilizing the subjective and objective measurements such as peak signal to noise ratio, bit error rate, and perceptual evaluation of speech quality. Peak signal to noise ratio is calculated between unique watermark and separated watermark and, unique and watermarked speech. An arrangement of speech articulations of the speaker during the training stage is used to develop the models for the person authentication system. During testing, structures are removed after original and watermarked speech articulations and are used towards calculate the correctness of the system.
Usage of Particle Swarm Optimization to Improve the Performance of Supervised Classifiers
Authors: Bharanidharan N , Nivetha M , Balakrishna A , Dhanaraju P 
Published: March 2021

Abstract
Representing the data appropriately will have a significant effect on the outcome produced by the classifier. Transforming the feature will help to represent the data points in a more suitable way for the classifier. Particle swarm optimization belongs to the Swarm Optimization techniques category and it is generally used for solving numerical optimization problems, weight updation in neural networks, and feature selection. This research work proposes a Particle swarm optimization-based transformation technique for increasing the classification metrics of popular classification algorithms namely K-Nearest Neighbor, Stochastic Gradient Descent Classifier, Decision trees, and linear discriminant analysis classifier. Experiments are conducted using the SONAR dataset and the highest accuracy of 82.69% is attained for Stochastic Gradient Descent classifier when Particle swarm optimization is used as a transformation technique
Digital Watermarking For Medical Images Using Dwt And Svd Technique
Authors: Pravin Savaridass M , Deepika R , Aarnika R , Maniraj V , Gokilanandhi P , Kowsika K 
Published: March 2021

Abstract
In the modern world with developing technologies, all the information are collected and stored digitally. In medical field also the diagnostic information are recorded digitally and transmitted. While transferring the information digitally, security and authenticity is the main aspect to be concentrated. Watermarking is the technology which ensures the authenticity and security of the medical images, information about patient and diagnostic details. In this paper, hybrid watermarking technique by the combination of Discrete Wavelet Transform and Singular Value Decomposition is implemented, because of its high security and efficiency as compared with other frequency domain watermarking. The images have been tested against attacks like salt and pepper noise, Gaussian noise, and filtering attack. Efficiency and performance of this hybrid technique are evaluated based on PSNR, SSIM and NC. From the simulation results, PSNR is above 37 dB, which ensures better imperceptibility and shows better robustness with NC values near to 1 against image attacks during transmission.
A REVIEW ON NATURAL LANGUAGE PROCESSING Report: Statistics and Facts
Authors: Dinesh PM , Hariraj Kumar J. , Chandra Sekar S , Swarnambiga M. , Ranjani S. 
Published: March 2021

Abstract
NLP is a branch of AI, mainframe Knowledge and so on. It computes to program, process and analyze the huge amount of text, speech, and data. In this paper, we reviewed the different methodology used in NLP and the techniques used in different papers are different from another with a good accuracy and our paper helps to know about the methodologies in NLP and helps to find the methodology for required application and it precisely according to the user need.
Optimization of Beamforming in Subarray Antennas Using Firefly Algorithm
Authors: Raju C. , Ramkumar Raja M. , Mano Raja Paul M. , Leeban Moses M. 
Published: March 2021

Abstract
The subarray antenna techniques are much focused for flexible beamforming in envisioned smart antenna applications. The aim of this subarray arrangement of antenna elements is greatly motivated by bandwidth enhancement and interference minimization in the upcoming 5G next generation networks infrastructure. The optimization is required for effective placement of nulls in the desired direction of interferes from known sensed and verified disturbance angles. In this three dimensional radiation pattern optimization, the number of phase shift elements and constructive values for pointing focused beam and destructive strength in the obstacles is crucial. In this paper we proposed a firefly algorithm for dynamic management of the radiation pattern. It is possible with the optimization of the weight parameters of the subarray antenna. From the given Direction of Arrival we investigate the possibilities of deep placing of nulls is simulated and analyzed with the antenna parameters.
Design And Implementation Of Amba Apb Protocol
Authors: Mukunthan J , Daniel Raj A , Keerthivadana S , Kiruthika R , Shruthi T , Snegasri S 
Published: March 2021

Abstract
The APB (Advanced peripheral bus) protocol is a part of AMBA(advanced microcontroller bus architecture) family. Design under test (DUT) is tested and it establishes the communication between master (test bench) and slave (design). It is designed based on a reusable based methodology for system on chip (SOC) which is essential in order to meet the current VLSI challenges. APB involves low bandwidth, low cost and minimal power consumption and is used to connect the Timer, Keypad and other devices to the bus architecture. The work involved is of APB protocol design and implementation. Here we are designing six test cases namely single and multiple write transaction with and without wait, multiple write transaction with and without wait states, multiple read and write transaction with and without wait. The design is programmed using Verilog HDL and tested using verilog test bench. And finally the APB design is verified using QuestaSim tool.
High Speed Vlsi Architectures Of Fir Filters For Image Applications – A Review
Authors: Mary John Tintu , Chacko Shanty 
Published: March 2021

Abstract
Numerousapplications based on VLSI architectures suffer from large size components that lead to an error at the design stage of floating point arithmetic. Therefore, in the design of a VLSI implementation of FIR filter for various applications such as images increases the design complexity and the time delay effect of the model. This lead tohave difficultyofarchitecturethatincludes the competing requirements like speed, area, and power, application area specialization and knowledge, changing and evolving terms. In this paper, a brief review of VLSI architectures in the field of image processing is depicted such as compression, interpolation, which will be advantageous in order to tackle the issues caused by the complexity in the design and design an optimal architecture with the necessary factors that need to be satisfied.
Design of a Memory Array Using Tail Transistor and Sleep Transistor Based 7T SRAM with Low Short Circuit and Standby Power
Authors: Krishnaraj R , Soundarya B , Mythili S , Vikram N 
Published: March 2021

Abstract
The display hardware concentrates on planning low power control gadgets due to the utilization of versatile battery-powered gadgets. Ultra low energy process of memory clusters has ended up undying due to its uses in low voltage calculation and communications. Stable SRAM process is valuable for the success of low-power due to parameter variations in scale-down technologies. In expansion to control utilization, the SRAM’s get to time is another complex parameter due to the inevitable exchanging exercises utilized for distinctive squares, say SRAM cell, get to NMOS transistors, NMOS preload transistors, a yield sense enhancer and both decoders. It has been appeared that the tail transistor-based 6T SRAM cluster comes up short to realize solid standby control and less delay process. The proposed inactive arbitrary get to memory (SRAM) plan gives an approach towards diminishing the standby control scattering. The design uses a sleep transistor which helps in limiting the standby power by preventing the whole cell from working for unwanted operations. It is eligible for low power applications due to the supply voltage being 1.8V. The designed SRAM cell has single-ended write and reads operations, which can also reduce the total power dissipation and the tail transistor reduces the short circuit energy consumption. The design is verified with Cadence (45nm) and the power estimated as 4.6789pW, which is 78.2% of ordinary 6T SRAM block.
Implementation of efficient MAC for DSP applications using Modified Booth Encoding algorithm technique
Authors: Tamilselvan S , Dharani S , Ramesh R , HemaPriya K 
Published: March 2021

Abstract
Multiplier and MAC is fundamental elements in DSP processors. Multiplication is one of the essential functions of arithmetic operation in computing systems, performing with different multipliers with different algorithms. MAC consisting of multiplier, adder and accumulator which plays a vital role in various DSP applications in improving signal processing ability, FIR and IIR filters. This article concentrates particularly on the efficient implementations of an accurate, signed and unsigned point multiplier. A modified booth Encoding (MBE) multiplier is used to execute a multiplier in floating point multiplier in order to significantly reduce partial products into half. CSA is applied with the inclusion of partial products in order into half. CSA is applied with the inclusion of partial products in order to improve speed.Rounding is not introduced to make the multiplier of a MAC unit more precise. Hence the proposed system shows an improved performance in systems area by 64.77%, reduced surplus power consumption by 44.41%, delay is reduced by 80% and shows a less circuit cost efficient. This proposed system area, power, delay, area delay product and power delay product are designed and calculated using synopsis, advanced VLSI tool.
Determination of Switching Angle from Inductance Profile of Converter Fed Switched Reluctance Generator in Wind Energy Conversion System
Authors: Mohamed Arafath Rajack B , Ganesh S , Sarojini Mary S , Richard Jimreeves JS 
Published: March 2021

Abstract
Now a day’s Switched Reluctance Generator (SRG) had been used in renewable energy applications. The main aim is to detect the angle of switching in 1kW 8/6 SRG in Wind Energy Conversion System (WECS) for various structures of rotor and stator. The Generator is turned on by the classic converter. The switching angle is determined by analyzing the inductance profile of each structure. The generator is analyzed using Infolytica MagNet software. The Shaft is driven at a constant speed. The air gap length is 0.5mm for all structures. The material taken for analysis is cold rolled steel. The dimensions of the generator depend upon the B-H curve of the material used. With B-H curve the total ampere turns of the generator can be evaluated. SRG is excited by voltage source for starting and after some times the switch will turn off the voltage source. Once SRG turned on during decreasing profile of inductance curve, the power generated will be transferred to the load or grid.
Monitoring & Tracking System for Elephants Using GPS/GSM with Smart Electric Fencing
Authors: Rajalashmi K. , Hemachandira V.S. , Saravanan S. , Chandru M , Kaviyadevi R.S. 
Published: March 2021

Abstract
Increased urbanization majorly causes human wildlife conflicts. Annually 30-40 elephants were killed during crop raids in India. Several million dollars were paid as the compensation for the people. Electric fencing is used to give an impulse shock to elephants but it is an open loop system it continuously gives the electric supply there will be the wastage of the electric supply. The presence of elephants can be tracked using GSM/GPS module and the required electric fencing can be turned on/off automatically by sensing the elephants. This system also used to automatically monitor elephant and also prevent its injuries during rail crossing. It also made necessary food arrangement by tracking the elephant activities. Electrocution of elephants will be greatly reduced and elephant life and human life can be greatly protected. This system protect the elephants and human and it will be very useful to maintain the ecological balance in the world.
Matlab based simulation for overcurrent protection in induction motor drive
Authors: Santhosh kumar K.V. , Senthilkumar R. 
Published: March 2021

Abstract
The fault occurring in power system is a very big threat to the industries and it adversely affects the industrial drives which in turn reduce the lifetime of the drives. There are many types of faults occurring in power system which affects the current, voltage, frequency and power fed to the industrial drives. In this paper, simulink model of a three phase supply is fetched and converted to variable AC through the converter circuit and fed as an input to the commonly used industrial motor drive is designed along with overcurrent current protection system. It also visualizes the fault occurrence parameters with the help of displays on the considered industrial drive and a method to prevent the damage of drive caused due to occurrence of fault.
Predictive control for Islanded mode DG with Voltage Source Inverter
Authors: Sathiyanarayanan T , Nivesh Kumar K 
Published: March 2021

Abstract
This paper explains the predictive control of three phase islanded mode VSI interfaced DG. The controller aims are twofold: a)Maintain the nominal voltage and frequency, b)Supply the required load power. The inner current control loop is Predictive control- Finite Control Set Model Predictive Control (FCS-MPC), using one step ahead predicting algorithm-improving the dynamic response. The power electronic converters are made up of switches, which are discrete in nature-i.e., either ON or OFF. Conventional MPC is simplified by taking advantage of this nature and converts the actual optimisation problem into evaluate and choose the best solution type problem. Because of the limited number of switching states, the evaluation is quick and can be considered to an online optimal control.
Robust Controller And Industrıal Internet For The Industrıal Nonlınear Level Process
Authors: Arun jayakar S , Tamilselvan G.M. , Sakthiya Ram S. , Kalimuthu M. 
Published: March 2021

Abstract
Automatic gain scheduling of PID controller gives monstrous yield reaction for controlling tank level away industrial application. This proposed strong controller furnishes tasteful yield reaction with least pinnacle overshoot, brisk settling time. The Industrial Internet of Things (IIoT) is generally used to interconnect accessible enterprises assets and give dependable, powerful and brilliant checking and control includes in process businesses. The proposed work outlines the use of IoT in a straight tank framework, checking and change set point and controller parameters from remote spots utilizing cloud administrations. In this paper, a basic straight tank exploratory setup is created and level in the direct tank framework is controlled utilizing PID controller. Utilizing IoT and electronic administration blynk, the information can be checked and dissected from any piece of the world at whenever. Set point and PID controller parameter of the straight tank framework can likewise be adjusted.