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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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Study on Ultimate Strength and Buckling Modes of Cold Formed Steel Structures

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IOP Conference Series: Materials science and engineering 2020年第6期912卷

作者： A Manimaran L Sathish P T Ravichandran Assistant Professor SRM Institute of Science and Technology Kattankulathur Tamil Nadu India Assistant Construction Manager Larsen & Toubro LTD WDFCC Project CTP 1&2 Jaipur Rajasthan India Professor Department of Civil Engineering SRM Institute of Science and Technology Kattankulathur Tamil Nadu India

Stronger construction material is category from one of the steel structure are attain higher strength with stand the resistance of steel by natural as well as it could made in different shapes. The exact shape of steel structure and its profile are precisely designed from cross section to ensure Indian Standard along with mechanical and chemical characteristics. All over the country's most of the industrialization is precise on sizes, shapes; strengths, storage practices and its composition of steel structure are used as per standards. cold-formed steel is effect with rolling of thin gauge steel sheet increasing the yield strength whose products are widely used in construction industries, as well as structure like columns, beams, joists, studs, floor decking, built-up section, telecommunication towers, electricity transmission steel tower, multi-storied steel structures, etc., due to its stronger and reduction in dead weight cold-formed steel is used. The dies are series of making various section of cold-formed steel structural member with different section and shapes by cold roll forming the steel to attain the preferred shape. As per the standard, nominal minimum yield strength of sheet steel rolled in cold-formed section is 250 N/mm2. However, user trend use of greater strength, but it could be lesser as 230 N/mm2.

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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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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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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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Trace metal partitioning in a shallow estuary, Muthupet, India

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IOP Conference Series: Earth and Environmental science 2020年第1期491卷

作者： K L Priya S Haddout Assistant Professor Department of Civil Engineering TKM College of Engineering Kollam Kerala India Department of Physics Faculty of Science Ibn Tofail University B.P. 133 Kenitra Morocco.

Dissolved trace metal concentrations of Fe, Cd, Cu and Zn were analysed in the Muthupet estuary, a well-mixed micro-tidal estuary in India during the post-monsoon and pre-monsoon in 2014. There was a significant variation in the salinity and suspended sediment concentration over the seasonal scale with peak salinity occurring at the downstream mouth during the post-monsoon and at intermediate locations during the pre-monsoon. Strong seasonal variations were observed in the concentration of trace metals. The concentration of Fe, Cd and Zn exceeded the USEPA standards, while that of Cu was within the permissible limits. Fe, Cu and Zn showed non-conservative behavior with peak concentrations at mid-estuarine reaches, irrespective of the location of salinity maxima, while the peak concentration of Cd occurred at high salinity reaches. The complexation of Cd as chlorocomplexes enhanced the mobilization of Cd, resulting in a peak value at high salinity reaches. The study indicated that the estuary is influenced by oceanic water and the anthropogenic input is secondary. Resuspension of bed sediments is identified as the major process controlling the trace metal concentration. Partition coefficient (Kd) of Fe, Cu and Zn was observed to be an increasing function of salinity, of which, the effect on Fe was much significant. The coagulation of suspended sediments at high salinity reaches enhanced the removal of Fe as Fe oxyhydroxides.

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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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