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Optimal Secret Text Compression Technique for Steganographic Encoding by Dynamic Ranking Algorithm

Journal of Physics: Conference Series 2020年第1期1427卷

作者： Jagan Raj Jayapandiyan C. Kavitha K. Sakthivel Research Scholar Department of Computer Science Periyar University Salem Tamil Nadu India Assistant Professor Department of Computer Science Thiruvalluvar Goverment Arts College Tamil Nadu India Professor Department of Computer Science and Engineering K. S. Rangasamy College of Technology Tamil Nadu India

In this research work, proposing an algorithm, which dynamically selects the best compression algorithms among several compression techniques for steganography encoding. Ranking and selection of best algorithm for each and every steganographic transaction is based on several factors like type of cover image being used for the transmission, length of the secret message, type of the message, compression ratio of the secret message being shared, encoding ratio of secret message over the medium etc., The proposed algorithm dynamically ranks and selects the right compression algorithm to be used for the given secret file to occupy lesser embedding space in stego-image.

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Segmentation of cervix using minimum spanning superpixel tree detector

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IOP Conference Series: Materials science and engineering 2020年第1期983卷

作者： TS Sheela Shiney S Albert Jerome Jemila Rose Assistant Professor Department of Computer Science and Engineering St. Xavier's Catholic College of Engineering Chunkankadai Tamil Nadu India Associate Professor Department of Biomedical Engineering Noorul Islam Centre for Higher Education Kumaracoil Tamil Nadu India Associate Professor Department of Computer Science and Engineering St. Xavier's Catholic College of Engineering Chunkankadai Tamil Nadu India

Cervical cancer occurs in cervix region of women which is life threatening and is a key research in the field of medical diagnosis. Cervical cancer can be prevented if precancerous changes is diagnosed earlier and cured properly. But finding cancer at the earlier stage is a tedious process. Cervical cancer screening is crucial since utmost of the screening procedures are invasive in nature. The objective is to automatically extract the area where in the cervical cancer starts to occur. In order to diagnose cervical cancer and distinguish the malignant and benign tissues, a cytology image obtained by cervicographic or colposcopy device is used. A robust segmentation algorithm is proposed that uses superpixel for the image segmentation method. This method is regularized by the combination of structural properties such as color, texture, and spatial data present in the superpixel graph.

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Process Capability & Fascinating applications of Friction Stud welding

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IOP Conference Series: Materials science and engineering 2020年第1期923卷

作者： D.S. Samuvel Prem Kumar R. Pravin S. Kavin Raj B. Benita N.Samuel Dinesh Hynes R. Nagarajan Asst.Professor Department of Mechanical Engineering JP College of Engineering Tenkasi Under Graduate Student Department of Mechanical Engineering Mepco Schlenk Engineering College (Autonomous) Sivakasi Assistant Professor Department of Computer Science & Engineering Francis Xavier Engineering College Tirunelveli-627002 Independent Researcher & Former Part Time Lecturer Department of Computer Science & Engineering Government College of Engineering Tirunelveli-627007

In earlier days, welding only involves joining two metals of same kind and dissimilar metals were usually joined by fasteners. Friction Stud welding is a true engineering marvel of making welds between dissimilar metals without any melting or fillers involved. The friction stud welding doesn't involve heat generation from electricity and it is purely based on friction. Besides these facts the friction stud welding has numerous advantage and applications. This paper focuses on the process of stud welding, application and its limitations.

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Coordinate Access System for Live Video Acquisition

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Journal of Physics: Conference Series 2020年第1期1712卷

作者： B. Annapurna T Rama Reddy Ch. V. Raghavendran Raushan Kumar Singh Vedurai Veera Prasad Associate Professor Department of Computer Science and Engineering Aditya College of Engineering Surampalem East Godavari Dt. AP India. Professor Department of Computer Science and Engineering Aditya Engineering College (A) Surampalem East Godavari Dt. AP India Professor Department of Information Technology Aditya College of Engineering and Technology Surampalem East Godavari Dt. AP India Technical Director Spectrum Solutions Pondicherry India Assistant Professor Department of Computer Science and Engineering Aditya College of Engineering Surampalem East Godavari Dt. AP India.

Biometric systems are the most advanced access technology developed so far in the 21st century. It does not even require to carry key cards or passwords in mind. Today most of the commercial and private entries are protected by biometric recognition systems like fingerprint scans facial recognition, retina scans, voice matching, etc. Even our phones, laptops, and daily access devices are equipped with biometric systems. In banks, the PCs are secured by the combination of passwords and fingerprint scans. Biometric scans are considered the most secure access technology so far. Our paper is to examine whether they are secure? Should we rely on them with our hard-earned money and social identity? Is there any way we can use these services without actually compromising our data and security? Our observation is on our digital identity. Promoting digitization in every department brings our topic in the picture. All our information is saved in our phones, our daily routine, whom we talk, what we purchase, whom we chat, where we travel, etc. Almost every smartphone has biometric fingerprint locks which means our phones have our fingerprint scans in database and with internet blend it's tethered worldwide. Our fingerprints are connected to our bank accounts, PAN Cards, Passport, and SIM Cards using Aadhar Cards. If someone has our fingerprint they can easily reach our Aadhar Card and through that to all our personal information. Most of the phone companies are Chinese, Korean, German, and American. As per their country policies, they must share their data with the governing authorities. We aim to create a security system without actually using the biometric scans. The system is an advancement of the biometric system but with better accuracy and intelligence. We interface image acquisition tools to live track the red color things. The web camera or inbuilt system lens can be used as the acquisition system. When the red color object is moved in front of the lens it shows the co

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Innovative Task Scheduling Algorithm in Cloud Computing

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IOP Conference Series: Materials science and engineering 2020年第2期981卷

作者： S. Magesh Kumar V. Auxilia Osvin Nancy A Balasundaram Seena Naik korra D Kothandaraman E Sudarshan Associate Professor Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai Tamil Nadu India Assistant professor Department of IT S. A. Engineering College Chennai Tamil Nadu India Assistant Professor Center for Cyber Physical Systems (CPS) School of Computer Science and Engineering Vellore Institute of Technology (VIT) Chennai Tamil Nadu India Associate Professor School of Computer Science and Artificial Intelligence S R University Warangal India Associate Professor Sumathi Reddy Institute of Technology for Women Warangal India

This work concentrates around the task scheduling depends on QoS and imperative of desire. Under nature of vibrant cloud computing, effectiveness improving of scheduling of task and load balancing are interminable issues. For clients, be that as it may, it's progressively imperative to meet their necessities of QoS. This paper identifies with an improvement decency intention depends on new Berger's model under the earth of vibrant cloud computing. As indicated by the distinctive kind of task scheduling, we portray the need of decency, proficiency and the Balance among advantage and reasonableness separately. We recompile the CloudSim and recreate the three undertaking task scheduling above based on expanded CloudSim individually. The exploratory outcomes show that this calculation portion not just meet the guideline of offering need to profit with because of thought to decency, yet additionally address clients' issues of orchestrated QoS.

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Novel approach to enhance network security using key performance indicator in business analytics

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IOP Conference Series: Materials science and engineering 2020年第1期992卷

作者： M. Saranya T. P. Anithaashri Assistant Professor Department of Innovative Informatics Institute of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Thandalam Chennai Tamilnadu India-602105 Associate Professor Department of Innovative Informatics Institute of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Thandalam Chennai Tamilnadu India-602105

In Recent days, the challenges in Business applications are more in analyzing the complexities of day to day activities. Key execution pointer (KPIs) are business estimations used by corporate bosses and various directors to follow and examine factors thought about noteworthy to the achievement of a Business. Reasonable KPIs base on the business cycles and limits that senior organization sees as commonly huge for assessing progress toward meeting imperative destinations and execution targets. KPIs differ from relationship to affiliation subject to business needs. One of the key display pointers for an open association will likely be its stock expense, while a KPI for a covertly held startup may be the amount of new customers incorporated each quarter. Surely, even direct adversaries in an industry are likely going to screen different plans of KPIs specially designed to their individual business procedures and the leader's strategies for thinking.

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Visualization and Classification of Diseases using Deep Learning Based Convolution Neural Network

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IOP Conference Series: Materials science and engineering 2020年第1期937卷

作者： D.A Janeera P. Amudhavalli P Sherubha S.P Sasirekha P. Anantha Christu Raj R Sitharthan Assistant Professor Sri Krishna College of Engineering and Technology Coimbatore Assistant Professor Department of Computer Applications B S AbdurRahman Crescent Institute of Science and Technology Chennai Independent Researcher Coimbatore ORCID: 0000-0002-5945-2402 Research Scholar Karpagam Academy of Higher Education Coimbatore Assistant Professor Robotics Engineering Karunya Institute of Technology and Sciences Coimbatore School of Electrical Engineering Vellore Institute of Technology Vellore

In the contemporary phase of big data, data visualization is one of the challenging segment of the discovery process. For a classifier, the primary goal is to identify the hidden levels of big data. The performance of classifiers depends on the feature space, number of classes and size of the data. To improve the reliability, efficiency and accuracy of the classifiers, new algorithms are required for analysis. This paper enables classification and visualization of information on diseases using a Deep Learning based Convolution Neural Network classifier. For feature selection and handling massive data in analysis of multivariate data is performed using particle swarm optimization (PSO) and principal component analysis (PCA) techniques. Real-world datasets are utilized for demonstration of the proposed learning algorithm. Deep learning classifiers are scientifically higher and offers better performance when compared to other classifiers according to the comparative study.

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Spatial interpolation of meteorological data and forecasting rainfall using ensemble techniques

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AIP Conference Proceedings 2020年第1期2207卷

作者： S. Dhamodaran Albert Mayan J. N. Saibharath N. Nagendra M. Sundarrajan 1Assistant Professor Dept. of Computer Science and Engineering Sathyabama Institute of Science & Technology Chennai India 2U.G. Student Dept. of Computer Science and Engineering Sathyabama Institute of Science and Technology Chennai India 3Periyar Maniammai Institute of Science & Technology Thanjavur (Tamilnadu) India

Heavy rainfall prediction is a noteworthy issue for meteorological division as it is intently connected with the economy and life of human. It is a reason for cataclysmic events like flood and dry season which are experienced by individuals over the globe consistently. Precision of rainfall gauging has extraordinary significance for nations like India whose economy is to a great extent subject to agribusiness. Because of dynamic nature of air, Statistical strategies neglect to give great precision to rainfall anticipating. Spatial insertion of downpour check information is essential for Eco hydrology study (or) demonstrating of land corruption. The month to month rainfall information recorded at meteorological stations is investigated to examine the spatial examples of rainfall. The spatial addition strategies was connected to display the spatial inconstancy of rainfall for the quite a long while. The precision of the addition result was estimated by embracing the spatial introduction method (i.e Inverse Distance Weighted). From the outcomes inferred utilizing the spatial interjection, we foresee the rainfall utilizing three algorithms (i.e Support Vector Machine, Random Forest Algorithm, Deep Learning Algorithm). In the wake of getting the outcomes correlations are made between those three calculations. The principle motivation behind the work is guide of specific locale and to learn about the variable factors that are impacting to anticipate the rainfall and from that investigation we look at three changed calculation and demonstrate the outcome which one best to foresee the rainfall. The calculation which predicts the exact rainfall is viewed as the best calculation for anticipating rainfall.

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Simulation of Transient Liquid Phase Bonding Process and the Influence of Interlayer Thickness

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IOP Conference Series: Materials science and engineering 2020年第1期923卷

作者： B. Benita D.S. Samuvel Prem Kumar R. Pravin N.Samuel Dinesh Hynes J.Angela Jennifa Sujana Assistant Professor Department of Computer Science & Engineering Francis Xavier Engineering College Tirunelveli-627002 Asst.Professor Department of Mechanical Engineering JP College of Engineering Tenkasi Under Graduate Student Department of Mechanical Engineering Mepco Schlenk Engineering College (Autonomous) Sivakasi Independent Researcher & Former Part Time Lecturer Department of Computer Science & Engineering Government College of Engineering Tirunelveli-627007 Associate Professor Department of Information Technology Mepco Schlenk Engineering College (Autonomous) Sivakasi

Ceramic/metal joints are possible with silid state joining techniques. Transient liquid phase bonding is a solid state joining process which is choice process. In this paper, numerical simulation of TLP bonding of ceramic/metal is done by Finite Element simulation. The finite element analysis of the TLP process provides the temperature and residual stress distribution during the bonding. Aluminium sheet as interlayer having high wettability is used. Transient thermal analysis is performed and discussed.

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Spectroscopy Analysis for Quality Control Measurement in Waste Management

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Journal of Physics: Conference Series 2020年第1期1712卷

作者： A. Jayanthiladevi Arun Gnana Raj Nik Alif Amri Nik Hashim V. Ramesh Kumar V. Nagaraju R. Regin Professor-Computer Science & Information Science Srinivas University Karnataka India Solution Architect Qanawat LLC Dubai UAE Faculty of Hospitality Tourism and Wellness Universiti Malaysia Kelantan Assistant Professor Department of Sports Management Tamil Nadu Physical Education and Sports University Chennai Professor / Department of ECE Rajalakshmi institute of technology Assistant professor Department of Information Technology Adhiyamaan College of Engineering Hosur Tamilnadu

This work explains about the physic-chemical characteristics of composites to evaluate the applicability in various purposes over agricultural area. Spectral characteristics of compost materials are compute with spectroscopy with Fertility index and clean index. This FI of composites was observed for sampling with various classification of higher fertilizing potential. Composites are utilized as fertilizer owing to low fertilizing potential. The concentration has been determined within permissible limits of fertility standards. It is known that these composites is more appropriate option for waste processing as it diminishes weight of organic waste. This analysis is performed with spectroscopy analysis.

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