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Extended Deep Learning Algorithm for Improved Brain tumor Diagnosis System

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Intelligent Automation & Soft Computing 2024年第1期39卷 33-55页

作者： M.Adimoolam K.Maithili N.M.Balamurugan R.Rajkumar S.Leelavathy Raju kannadasan Mohd Anul Haq Ilyas Khan ElSayed M.tag El Din Arfat Ahmad Khan Department of Computer Engineering Government Polytechnic CollegeSevvapetTiruvallurTamil Nadu602025India Department of Computer Science and Engineering KG Reddy College of Engineering and TechnologyHyderabadTelangana500075India Department of Computer Science and Engineering Sri Venkateswara College of EngineeringSriperumbudurChennai602117India Department of Computer Science and Engineering Annamalai UniversityChidambaramTamil Nadu608002India Department of Computer Science and Engineering Aarupadai Veedu Institute of TechnologyVinayaka Mission Research FoundationPaiyanurTamil Nadu603104India Department of Electrical and Electronics Engineering Sri Venkateswara College of EngineeringSriperumbudur602117India Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia Electrical Engineering Department Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer Science College of ComputingKhon Kaen UniversityKhon Kaen40002Thailand

At present,the prediction of brain tumors is performed using Machine Learning(ML)and Deep Learning(DL)*** various ML and DL algorithms are adapted to predict brain tumors to some range,some concerns still need enhancement,particularly accuracy,sensitivity,false positive and false negative,to improve the brain tumor prediction system ***,this work proposed an Extended Deep Learning Algorithm(EDLA)to measure performance parameters such as accuracy,sensitivity,and false positive and false negative *** addition,these iterated measures were analyzed by comparing the EDLA method with the Convolutional Neural Network(CNN)way further using the SPSS tool,and respective graphical illustrations were *** results were that the mean performance measures for the proposed EDLA algorithm were calculated,and those measured were accuracy(97.665%),sensitivity(97.939%),false positive(3.012%),and false negative(3.182%)for ten *** in the case of the CNN,the algorithm means accuracy gained was 94.287%,mean sensitivity 95.612%,mean false positive 5.328%,and mean false negative 4.756%.these results show that the proposed EDLA method has outperformed existing algorithms,including CNN,and ensures symmetrically improved *** EDLA algorithm introduces novelty concerning its performance and particular activation *** proposed method will be utilized effectively in brain tumor detection in a precise and accurate *** algorithm would apply to brain tumor diagnosis and be involved in various medical diagnoses *** the quantity of dataset records is enormous,then themethod’s computation power has to be updated.

关键词： Brain tumor extended deep learning algorithm convolution neural network tumor detection deep learning

Modelling and validation of metal oxide surge arrester for very fast transients

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High Voltage 2018年第2期3卷 147-153页

作者： kannadasan Raju Valsalal Prasad Department of Electrical and Electronics Engineering College of Engineering Guindy CampusAnna UniversityChennai 600025India

Metal oxide surge arrester models that are currently on rounds suffer from certain deficiencies and as a consequence,they are not in position to portray accurately the arrester residual *** drawback is mainly attributed to their inherent *** prevailing pressing need demands accurate performance assessment of zinc oxide arrester under all types of overvoltages including very fast transient overvoltages(VFtOs).So immediate corrective measures like the formation of a new arrester model or rejig of the existing one are urgently *** issue constitutes the centre piece/core of this *** consideration of its various merits,which includes its capacity to bring out the virtual representation of arrester activities,electromagnetic transient programme software has been chosen for this *** its aid,the arrester model recommended by IEEE Working Group has been aptly reshaped to suit the needs of VFtOs *** end results of the simulations thus carried out have clearly established its suitability for the studies involving nanosecond waves;additionally,it got its validation and endorsement from the test data obtained from different arrester *** commendable endorsements got from these studies shed clear light on *** these aspects are dealt with this work.

关键词： oxide transient prevailing

Effect of capacitance on ZnO-Bi_2O_3-Yb_2O_3 based varistor for nanosecond transients

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Journal of Central South University 2018年第10期25卷 2332-2338页

作者： kannadasan RAJU Valsalal PRASAD Department of Electrical & Electronics Engineering CEG Campus Anna University

the microstructure and electrical properties of ZnO-Bi2O3-Yb2O3 based varistor ceramics were investigated with various temperature effects from 900°C to 1050°*** the results,it was observed that the increase of sintering temperature offers a reduced capacitive effect from 0.460 nF to 0.321 ***,the grain sizes of varistors were varied from 6.8μm to 9.8μ*** consequence of such smaller grain sizes provided a better voltage gradient of about 895 V/mm for the disc sintered at 900°C and fallen drastically to 410 V/mm for the sample sintered at 1050°*** addition,there was an increase of non-linearity index to a maximum value of 36.0 and reduced leakage current of 0.026 mA/***,the density of the varistor decreased with an increase of temperature from 5.41 g/cm3 to 5.24 g/*** this base,the influence of varistor capacitance and high voltage gradient were scrutinized and it led an improved transition speed of the varistor assembly from non-conduction to conduction mode during intruding nanosecond transients.

关键词： capacitance metal oxide varistor nanosecond transient rare earth oxide transition delay ytterbium oxide

Insider Attack Detection Using Deep Belief Neural Network in Cloud Computing

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Computer Systems Science & Engineering 2022年第5期41卷 479-492页

作者： A.S.Anakath R.kannadasan Niju P.Joseph P.Boominathan G.R.Sreekanth School of Computing E.G.S.Pillay Engineering CollegeNagapattinam611002TamilnaduIndia Department of Software Systems School of Computer Science and Engineering(SCOPE)Vellore Institute of Technology UniversityVellore632014TamilnaduIndia Department of Computer Science CHRIST(Deemed to be University)Bengaluru560029India Department of Information Security School of Computer Science and Engineering(SCOPE)Vellore Institute of Technology UniversityVellore632014TamilnaduIndia Department of Computer Science and Engineering Kongu Engineering CollegeErode638060TamilnaduIndia

Cloud computing is a high network infrastructure where users,owners,third users,authorized users,and customers can access and store their information *** use of cloud computing has realized the rapid increase of information in every field and the need for a centralized location for processing *** cloud is nowadays highly affected by internal threats of the *** applications such as banking,hospital,and business are more likely affected by real user *** intruder is presented as a user and set as a member of the *** becoming an insider in the network,they will try to attack or steal sensitive data during information sharing or *** major issue in today's technological development is identifying the insider threat in the cloud *** data are lost,compromising cloud users is *** and security are not ensured,and then,the usage of the cloud is not *** solutions are available for the external security of the cloud ***,insider or internal threats need to be *** this research work,we focus on a solution for identifying an insider attack using the artificial intelligence *** insider attack is possible by using nodes of weak users’*** will log in using a weak user id,connect to a network,and pretend to be a trusted ***,they can easily attack and hack information as an insider,and identifying them is very *** types of attacks need intelligent solutions.A machine learning approach is widely used for security *** date,the existing lags can classify the attackers *** information hijacking process is very absurd,which motivates young researchers to provide a solution for internal *** our proposed work,we track the attackers using a user interaction behavior pattern and deep learning *** usage of mouse movements and clicks and keystrokes of the real user is stored in a *** deep belief neural

关键词： Cloud computing security insider attack network security privacy user interaction behavior deep belief neural network

Adaptive Cell Zooming Strategy toward Next-Generation Cellular Networks with Joint transmission

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Computers, Materials & Continua 2021年第10期69卷 81-98页

作者： Abu Jahid Mohammed H.Alsharif Raju kannadasan Mahmoud A.Albreem Peerapong Uthansakul Jamel Nebhen Ayman A.Aly Department of Electrical and Computer Engineering University of OttawaOttawaK1N 6N5ONCanada Department of Electrical Engineering College of Electronics and Information EngineeringSejong UniversitySeoul05006Korea Department of Electrical and Electronics Engineering Sri Venkateswara College of EngineeringSriperumbudur602117India Department of Electronics and Communications Engineering A’Sharqiyah UniversityIbra400Oman School of telecommunication Engineering Suranaree University of TechnologyNakhon RatchasimaThailand Prince Sattam Bin Abdulaziz University College of Computer Engineering and SciencesAlkharj11942Saudi Arabia Department of Mechanical Engineering College of EngineeringTaif UniversityTaif21944Saudi Arabia

the Internet subscribers are expected to increase up to 69.7%(6 billion)from 45.3%and 25 billion Internet-of-things connections by ***,the ubiquitous availability of data-hungry smart multimedia devices urges research attention to reduce the energy consumption in the fifthgeneration cloud radio access network to meet the future traffic demand of high data *** propose a new cell zooming paradigm based on joint transmission(Jt)coordinated multipoint to optimize user connection by controlling the cell coverage in the downlink communications with a hybrid power *** endeavoring cell zooming technique adjusts the coverage area in a given cluster based on five different Jt schemes,which will help in reducing the overall power consumption with minimum inter-cell *** provide heuristic solutions to assess wireless network performances in terms of aggregate throughput,energy efficiency index(EEI),and energy consumption gain under a different scale of network *** suggested algorithm allows efficient allocation of resource block and increases energy and spectral efficiency over the conventional location-centric cell zooming *** system-level simulations show that the proposed framework reduces energy consumption yielding up to 17.5%and increases EEI by 14%.Subsequently,a thorough comparison among different Jt-based load shifting schemes is pledged for further validation of varying system bandwidths.

关键词： Wireless networks green communications C-RAN coordinated multipoint energy efficiency

Forecasting the momentum using customised loss function for financial series

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International Journal of Intelligent Computing and Cybernetics 2021年第4期14卷 702-713页

作者： N.Prabakaran Rajasekaran Palaniappan R.kannadasan Satya Vinay Dudi V.Sasidhar Vellore Institute of technology VelloreIndia PSNA CEt DindigulIndiaand

Purpose-We propose a Machine Learning(ML)approach that will be trained from the available financial data and is able to gain the trends over the data and then uses the acquired knowledge for a more accurate forecasting of financial *** work will provide a more precise results when weighed up to aged financial series forecasting *** LStM Classic will be used to forecast the momentum of the Financial Series Index and also applied to its *** network will be trained and evaluated for accuracy with various sizes of data sets,*** historical data of MCX,GOLD,COPPER and the results will be ***/methodology/approach-Desirable LStM model for script price forecasting from the perspective of minimizing *** approach which we have followed is shown below.(1)Acquire the Dataset.(2)Define your training and testing columns in the dataset.(3)transform the input value using scalar.(4)Define the custom loss function.(5)Build and Compile the model.(6)Visualise the improvements in ***-Financial series is one of the very aged techniques where a commerce person would commerce financial scripts,make business and earn some wealth from these companies that vend a part of their business on trading *** financial script prices is complex tasks that consider extensive human-computer *** to the correlated nature of financial series prices,conventional batch processing methods like an artificial neural network,convolutional neural network,cannot be utilised efficiently for financial market *** propose an online learning algorithm that utilises an upgraded of recurrent neural networks called long short-term memory Classic(LStM).the LStM Classic is quite different from normal LStM as it has customised loss function in *** LStM Classic avoids long-term dependence on its metrics issues because of its unique internal storage unit structure,and it helps forecast financial time *** Se

关键词： Financial series Financial script Recurrent neural networks Long short-term memory(LStM) Loss function

Fingerprint Agreement Using Enhanced Kerberos Authentication Protocol on M-Health

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Computer Systems Science & Engineering 2022年第11期43卷 833-847页

作者： A.S.Anakath S.Ambika S.Rajakumar R.kannadasan K.S.Sendhil Kumar School of Computing E.G.S.Pillay Engineering CollegeNagapattinam611002India Department of Computer Science and Engineering University College of Engineering AriyalurAriyalur621705India Department of Mathematics University College of Engineering AriyalurAriyalur621705India Department of Software Systems School of Computer Science and Engineering(SCOPE)Vellore Institute of Technology UniversityVellore632014India Department of Iot School of Computer Science and Engineering(SCOPE)Vellore Institute of Technology UniversityVellore632014India

Cloud computing becomes an important application development platform for processing user data with high *** providers are accustomed to providing storage centers outside the trusted location preferred by the data ***,ensuring the security and confidentiality of the data while processing in the centralized network is very *** secured key transmission between the sender and the receiver in the network is a huge challenge in managing most of the sensitive data transmission among the cloud *** are very active over the network like real authenticated user to hack the personal sensitive data,such as bank balance,health data,personal data,and confidential documents over the cloud *** this research,a secured key agreement between the sender and the receiver using Kerberos authentication protocol with fingerprint is proposed to ensure security in *** of patients are monitored using wireless sensor devices and are then transferred to the *** protocol helps in avoiding unnecessary communication of authenticated data over the cloud *** security process is a procedure with the best security in most of the authentication *** node is responsible in carrying data packets from the sender to the receiver in the cloud *** Kerberos protocol is used in trust node to ensure *** communication between the local health center and the healthcare server is ensured by using a fingerprint feature called minutiae form,which refers to the fingerprint image of both sender and *** computational and communicational cost of the proposed system is lesser when compared with other existing authentication methods.

关键词： Protocol security m-health cloud computing biometric fingerprint kerberos protocol

Optimal Cost-Aware Paradigm for Off-Grid Green Cellular Networks in Oman

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Computers, Materials & Continua 2021年第8期68卷 2665-2680页

作者： Mohammed H.Alsharif kannadasan Raju Abu Jahid Mahmoud A.Albreem Peerapong Uthansakul Jamel Nebhen Venkatesan Chandrasekaran Department of Electrical Engineering College of Electronics and Information EngineeringSejong UniversitySeoul05006Korea Department of Electrical and Electronics Engineering Sri Venkateswara College of EngineeringSriperumbudurChennai602117India Department of Electrical and Computer Engineering University of OttawaOttawaK1N 6N5ONCanada Department of Electronics and Communications Engineering A’Sharqiyah UniversityIbra400Oman School of telecommunication Engineering Suranaree University of TechnologyNakhon RatchasimaThailand Prince Sattam bin Abdulaziz University College of Computer Engineering and SciencesAlkharj11942Saudi Arabia

Green wireless networks or energy-efficient wireless networks have gained popularity as a research topic due to the ecological and economic concerns of cellular *** specific power supply requirements for the cellular base station,such as cost-effectiveness,efficiency,sustainability,and reliability,can be met by utilizing the technological advances in renewable *** are numerous drivers for the deployment of renewable energy technologies and the transition towards green *** energy is free,clean,and abundant in most locations throughout the ***,this work proposes a novel framework for energy-efficient solar-powered base stations for the Oman site,specifically for off-grid locations where fuel transportation for diesel generator(DG)is a serious *** demonstrate the effectiveness of the proposed system for off-grid sites,the Hybrid Optimization Model for Electric Renewables optimization software is adapted by considering real-time conditions and its technical *** cost factors such as capital cost,salvage cost,replacement cost,operational,and maintenance cost of PV panels,inverters,and batteries also undergo extensive *** the observed results,the total net present cost(NPC)of the proposed system is$27,887,while the net NPC of the DG is estimated at$32,***,the proposed scheme can potentially achieve considerable savings in the operational expenditure at approximately 15.24%.Indeed,these outcomes can provide profound economic,technical,and ecological benefits to the cellular operators of *** also ensures a sizeable reduction in greenhouse gas that supports sustainable green wireless network deployment in remote areas.

关键词： Wireless networks green wireless networks green communications sustainability OPEX

Design of a Low-Cost Air Quality Monitoring System Using Arduino and thingSpeak

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Computers, Materials & Continua 2022年第1期70卷 151-169页

作者： Anabi Hilary Kelechi Mohammed H.Alsharif Chidumebi Agbaetuo Osichinaka UbadikeAlex Aligbe Peerapong Uthansakul Raju kannadasan Ayman A.Aly Department of Aerospace Engineering College of EngineeringAirForce Institute of TechnologyKadunaNigeria Department of Electrical Engineering College of Electronics and Information EngineeringSejong UniversitySeoul05006Korea Department of Electrical Engineering and Information Engineering College of EngineeringCovenant UniversityCanaanlandOtaP.M.B 1023OgunNigeria School of telecommunication Engineering Suranaree University of TechnologyNakhon RatchasimaThailand Department of Electrical and Electronics Engineering Sri Venkateswara College of EngineeringChennai602117India Department of Mechanical Engineering College of EngineeringTaif UniversityTaif21944Saudi Arabia

the impact of daily emissions of gaseous and particulate pollutants of machines and industries on human health and the environment has attracted increasing *** impact has significantly led to a notable increase in mortality in the highly industrialized ***,monitoring air quality and creating public awareness are important for a safer future,which led the governments globally to investmulti-billion in policymaking and solution stratification to address the *** study aims to design a realtime Internet of things low-cost air quality monitoring *** system utilizes air quality and carbon monoxide sensors for monitoring gaseous ***,the system utilizes an Arduino Nano development board equipped with a WiFi module to effectively send readings to a thingSpeak online channel platformfor instantaneous and real-time display of air *** thingSpeak uses HttP protocols to send emails in raising awareness of poor air *** level of concentration is monitored graphically through channels with the help of thingSpeak to aid remote *** value is ***,when pollutants have become unhealthy and harmful,the system trips off an alarm,and e-mail notifications are sent to the *** results have shown that the work was successfully implemented a design of a low-cost air quality monitoring system using Arduino and thingSpeak,showing that an air quality system can be implemented using a low-cost technology,Arduino and thingSpeak.

关键词： Iot air quality MQ 135 sensor MQ-7 sensor air pollution