bluuebunny/crossref_metadata_2025 huggingface dataset:
Facial Expression Recognition in Video with Multiple Feature Fusion
Authors:   Department of Electronics & Communication Saveetha School Of Engineering(SIMATS), Chennai. Tamil Nadu, India., Teja T.Sai , Bee M.K.Mariam ,   Department of Electronics & Communication Saveetha School Of Engineering(SIMATS), Chennai. Tamil Nadu, India.
Published: September 2019

Video based outward appearance affirmation has been a long standing issue and pulled in creating thought starting late. The way to a productive outward appearance affirmation system is to manhandle the conceivable outcomes of shifting media modalities and structure incredible highlights to effectively depict the facial appearance and course of action changes achieved by facial developments. We propose a powerful system to address this issue in this paper. In our examination, both visual modalities (face pictures) and sound modalities (talk) are used. Another part descriptor known as bar chart of familiarized Gradients from 3 Orthogonal Planes (HOG-TOP) is projected to free dynamic surfaces from video courses of action to depict facial look changes. In addition, another effective geometric element got from the curve change of facial places of interest is proposed to get facial plan changes.
Automated Detection of White Blood Cells Cancer Diseases
Authors:   UG Scholar, Department of Electronics and Communication Engineering, Saveetha school of engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India, Prasanna T.Siva , Jagadeesh Mr.P. ,   Assistant Professor, Department of Electronics and Communication Engineering, Saveetha school of engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India.
Published: September 2019

Mechanized analysis of white platelets malignant growth infections, for example, Leukemia and Myeloma is a difficult biomed-ical inquire about point. Our methodology introduces out of the blue another best in class application that helps with diagnosing the white platelets infections. we break these sicknesses into two classifications, every classification contains like side effects infections that may confound in diagnosing. In light of the specialist's determination, one of two methodologies is actualized. Each methodology is connected on one of the two maladies classification by processing distinctive highlights. At last, Random Forest classifier is connected for ultimate choice. The proposed methodology means to early disclosure of white platelets malignancy, decrease the misdiagnosis cases notwithstanding improve the framework learning approach. In addition, permitting the specialists just to have the last tuning on the outcome acquired from the framework. The proposed methodology accomplished an exactness of 93% in the principal classification and 95% in the second class.
Identification and Research of Adhd and Healthy Controls using Fmri
Authors:   Department of ECE, Saveetha School of Engineering, SIMATS, Chennai, Tamilnadu, India, Thaiyalnayaki K.
Published: September 2019

Analyzing the brain regions for different activations corresponding to the activation input for an experimental setup of task functional MRI or a resting state functional Magnetic Resonance Imaging(fMRI) for a diagnosed or healthy control is a challenging issue as the processing data is voluminous 4D data with nearly 1,51,552 voxels for a single volume of 261 scans fMRI. The data considered for analysis consists of 10 healthy controls and 10 Attention Deficit Hyperactivity Disorder(ADHD) fMRI. The workflow starts with preprocessing the individual scan for realignment, coregistration and Normalisation to Montreal Neurological Institute (MNI) space. Single site scan visit consists of 64x64x37 voxels. Seventy independent components are obtained from processed data by data reduction, Independent Component Analysis (ICA) calculation, Back reconstruction and Component Calibration. ICA performs satisfactorily well on temporal and spatial localization. Visual medial network activation is pronounced in ADHD Controls than in healthy people. Sagittal, Axial and Coronal view of ADHD controls is obtained as component number 42.The analysis is further used for the automatic classification of healthy controls and ADHD people.
Classification Of Neural Network With Ct Images For Lung Cancer Detection
Authors:   UG Scholar, Department of ECE, Saveetha school of engineering, Saveetha Institute of Medical and Technical Science, Chennai, TamilNadu, India, Rajasekhar Uppuluri , Jagadeesh P. ,   Assistant Professor, Department of ECE, Saveetha school of engineering, Saveetha Institute of Medical and Technical Science, Chennai, TamilNadu, India
Published: September 2019

This paper propose a clever method for the development to raise the over all performance of computeraid diagnosis and for computer, pulmonary nodule identity computed to mography snapshots that digital image and communication in the medicine formats. The preliminary segment in willpower of any variation from the norm in lung locale is to benefit a computer tomography photo.The advanced organization of the picture is very convenient, consequently the extraction and sharing of significant information. The substantial number of related pictures represent a test in soundness and thusly touching base at the end. The cad framework is planned and created to fragment the lung tumor district and concentrate on the highlights which are of the area of intrigue. The detection procedure involve of two stages, to be specific Lung division and feature extraction. In segmentation of lung region, fuzzy c implied ,GLCM primarily based algorithms are implemented. The extracted functions the design of comparable region of the internet use to teach the neural network. Finally these properties are used for analysis lung tumor as benign or malignant. The important goal for this method is reduce fake fantastic charge and to enhance the get entry to time and reduce interobserver variability.
A Spearman Algorithm Based Brain Tumor Detection Using CNN Classifier for MRI Images
Authors:   P.G Scholar, Dept.of Computer Science Engineering, Vivekanandha College of Engineering for Women, Tamilnadu, India., R.P Rachana Ramachandran. , Mohanapriya N. ,   Assistant Professor, Dept. of Computer Science Engineering, Vivekanandha College of Engineering for Women, Tamilnadu, India, Malathi Dr.L. ,   Associate Professor, Dept. Of Computer Science and Engineering, Vivekanandha College of Engineering for Women, Tamilnadu, India.
Published: September 2019

Medical imaging and its processing is an area of interest which is helps for easier and analysis of the medical issues. These modalities can provide visual representations of the interior of a body for clinical analysis and medical interventions. Medical imaging also establishes a database of normal anatomy and physiology to make it possible to identify abnormalities. So it helping easier diagnosis and planning treatment. These detailed and informative mapping can be processed to exact the information instead of dealing with the whole data. The medical imaging technique plays a central role for diagnosis of brain tumors. During the recent years, the mortality rate of individuals due to brain tumor is rising rapidly. Brain tumor is a serious life-threatening issue. Near the beginning and exact detection of brain tumor helps to reduces the brain tumor mortality rate, but it is a complicated and challenging task. To solve these difficulties use different brain tumor detection algorithms. Nowadays a number of brain tumor detection and classification algorithms are existing, but several classification processes have need of large time for classify the result. In order to improve the efficiency of brain tumor detection process, propose a spearman based brain tumor segmentation and Convolution Neural Network (CNN) based classification technique. This classifier provides best and accurate result. The proposed technique is estimated on the basis of their performance parameters on MRI brain images.
A Critical Access on Improving Productivity and Livelihood of Handloom Weavers
Authors:   Deaptment of Fashion Technology Kumaraguru college of Technology Coimbatore, T.N. India, Ramakrishnan Dr.G. , Poongodi Dr.B. ,   Bussiness School, Kumaraguru college of Technology Coimbatore, T.N. India, Velmurugan Dr.C. ,   Deaptment of Mechanical Engineering Kumaraguru college of Technology Coimbatore, T.N. India, Zakriya Dr.G.Mohamed ,   Deaptment of Fashion Technology Kumaraguru college of Technology Coimbatore, T.N. India
Published: September 2019

Weight of traditional jacquard machine is reduced by modifying its components dimension and size. Pneumatic and electric lifting mechanism adopted on jacquard machine handloom and its productivity was studied and compared with traditional jacquard machine. Its productivity and earnings are discussed in this paper to enhance the livelihood of handloom weavers.
Dependability Of The Users In Cloud Environment Usingload Balancing And Integrity Of Data
Authors:   PG scholar, Department of CSE, Vivekanandha College of Engineering for women (Autonomous), Tiruchengode, India., R Sandhiya , Radhika. D. ,   M.E., Assistant Professor, Department of CSE, Vivekanandha College of Engineering for women (Autonomous), Tiruchengode, India., M.E. G.Sasikala. ,   Assistant Professor, Department of CSE, Vivekanandha College of Engineering for women (Autonomous), Tiruchengode, India
Published: September 2019

A distributed computing is one of the most amazing administration offered by means of web which makes a stage to store and recover information Since client's close to home information is being put away in a decoded arrangement on a remote machine worked by outsider merchants who give different administrations, the effect of client's personality and unapproved access or revelation of records are extremely high.In this proposed system is using Dependability of the Users,Privacy and Integrity of Data (DPI) algorithms using improve the Execution assessment of Cloud Computing foundations is required to anticipate and measure the money saving advantage of a technique portfolio and the relating Quality of Service (QoS) experienced by clients. Along these lines, concentrating on Load adjusting in the distributed computing condition importantly affects the presentation. This paper deals with multi target asset provisioning plan for taking care of different errand classes for different outstanding task at hand office. In this proposal, project is using a Best Partition Searching for distributing a file system to another cloud environment. This methodology gives a security regarding client verification for "approval" to enter the system which is made by means of Image Sequencing secret key to demonstrate that the personality is unique client, RSA calculation to encode the information to give information respectability, a profoundly parallel conveyed information the executives administration that empowers to peruse/compose and add gigantic informational collections that are divided and circulated at a huge scale. Subsequently this methodology gives a general security to the customer's close to home information and the issue of simultaneousness, volume of information can be settled with these procedures.
Mixture Modeling based Multikernel Sparse Learning for Directional of Arrival Estimation
Authors:   PhD Reserach Scholar, Visvesvaraya Technological University, Belagavi, Fakih Awab Habib , Shashidhar Dr. S M ,   Principal, Proudhadeveraya Institute of Technology - [PDIT], Hospet
Published: September 2019

Direction of Arrival (DOA) estimation problem is defined as the problem of Sparse Signal Recovery (SSR) in researches published on the Uniform or Non Uniform array based implementations. This Paper attempts a Multikernel Sparse learning (MSL) approach with mixture modeling for the SSR problem to improve the performance parameters including the PSNR and the RMSE of the estimated sparse signal in the underdetermined condition. The Expectation Maximization algorithm is exploited to obtain the convergence in the mixture modeling MSL method. The virtual array response problem thus developed uses the mixture modeling MSL to estimate the DOA. Matlab based implementation is carried out and the results are found to be satisfactory.
Television News and Women: Impact of Television News of Flood in Kerala on Women
Authors:   Assistant Professor, Dept of Visual Media & Communication, Amrita School of Arts & Sciences, Kochi, Amrita Vishwa Vidyapeetham, India, C Karthika , Vijayalakshmi Dr. P.P. ,   Professor Dept of English & Languages, Amrita School of Arts & Sciences, Kochi, Amrita Vishwa Vidyapeetham, India
Published: September 2019

Kerala, God’s own Country, was taken aback with the devastating flood in August. More than 350 people lost their lives. Thousands of people remained marooned, animals were killed, houses were submerged, and vehicles were floating. The damage doesn’t end there. According to the government, the State met with a loss of Rs. 20,000 crore. Malayalam Television news channels covered the flood 24*7 without a break. Some of them set up helpdesks to pass information on the missing, the stranded, and the rescue efforts. Breathtaking visuals of floods were also aired. Every minute aspect of rescue operations and flood were communicated. We know that a visual speaks a thousand words. In the case of Kerala flood, some visuals created panic. Some were soothing and some were informative. This study attempts to analyze the impact of visuals aired by Malayalam television channels on women in Kuttanad. A sample of 500 respondents of age group 15-60 from different Panchayaths of Kuttanad are selected and structured questionnaires distributed to them and the response collected. The research assesses women’s rationale for watching the visuals of the flood in Kerala and also its impact on Women in selected areas of Kuttanad. The objective of the research is to understand the relationship between viewers and their motives for watching television.
The Valuation of Relationship between EPS, GST and Demonetization of Indian Industries
Authors:   Ph.D.Research Scholar, School of Management Studies,Vels Institute of Science, Technology & Advanced Studies(VISTAS), Chennai, India., Kiruba Angelin , Vasantha Dr. S. ,   Professor & Research Supervisor, School of Management Studies, Vels Institute of Science, Technology & Advanced Studies(VISTAS), Chennai, India
Published: September 2019

To determine the valuation of companies’ shares, the individual always consider the earning per share (EPS). There are lot of literature review provides the information of how much the individual investors considering the importance of earnings per shares before their investment to one industries. Earnings per shares will help the investors to analyse on the growth of their investment from the company. The total number of outstanding shares will divide the net income of the company to find the value of the EPS. This tool used by all the security market investors before they are purchasing the shares. There are lot of research gone through by various researcher by using the EPS to determine the share price of various industries across the globe. In India, after the implementation of GST and demonetisation there are plenty of assumption and expectation spread across regarding the GDP of the country, Profit of the business and also the performance of share market. People are not aware what was the earnings of each individual received when they did investment during this period. This paper analyse how much the EPS value has been received by the investors of security market after the implementation of GST and demonetisation.
Improved Deep Convolution Neural Networks Classification Amygdala of Image Mining Technique using ASD Accuracy
Authors:   Research Scholar,Bharathiar University, Coimbatore, Tamil Nadu, India, Lalitha R. , Tamilselvi Dr. J. Jebamalar ,   Research Guide & Professor,Department of CSE,Jaya Engineering College,Chennai, Tamil Nadu, India
Published: September 2019

Image mining is as of now a developing dynamic research center in computer science. Generally clear inside the initial couple of long periods of life. One of as of late most seriously contemplated related with fMRI a differing gathering of medicinal conditions. In mentally unbalanced kids this actuation is anomalous of their moms mining lessened when Images of outsiders indicated. Functional magnetic resonance imaging to distinguish Tuberous Sclerosis bigger right amygdala volume has been related with more extreme social and open hindrances in mentally unbalanced two year olds. This work, semantic division as relating exhibited bigger amygdalae structures among kids with profound convolutions neural systems. Conduct articulations of the extreme introvert tend coming about basic and utilitarian irregularities in the cerebrum. Promising Tools Neuro Imaging Analysis Kit (NIAK) for UCI Dataset Autism Screening Adult(ASA) division sushisen algorithm utilizing essentially includes decrease systems less amygdala enactment amid the assignment enhance fMRI check and the Issue arrangement CNN rise 94.88 percent accuracies of a rate.
Pre and Post Process of Corporate Merger and Acquisition Technicalities
Authors:   (Assistant professor), School of humanities and social sciences, Thapar institute of engineering and technology, Patiala, Punjab., Sharma Dr. Rakesh Kumar , Sharma Dr. Anupam ,   (Assistant professor), School of humanities and social sciences, Thapar institute of engineering and technology, Patiala, Punjab
Published: September 2019

This research paper examines the overall merger and acquisition process and identifies the determinants of successful merger and acquisition for Indian companies. The acquisition process identified for this paper was classified into three stages, i.e., pre-acquisition management, post-acquisition integration, and post-acquisition performance evaluation. This process itself has a crucial role in deciding the success of the acquisition deal. Utilizing information from previous research, in the present study fifteen dimensions have been identified in three stages of merger and acquisition. These fifteen dimensions were employed as the building blocks of a successful acquisition transaction. Through synthesizing multiple dimensions in the overall acquisition process simultaneously, an attempt has been made to identify the content of specific factors that has affected a successful merger and acquisition deal.
Non - Darcian and Non - Uniform Salinity Gradients on Triple Diffusive Convection in Composite Layers
Authors:   Research Scholar, Research and Development Centre, Bharathiar University, Coimbatore - 641 046 Tamil nadu, INDIA., Komala B. , Sumithra R. ,   Associate Professor, Department of Mathematics, Government Science College, Bangalore - 560001, Karnataka, INDIA
Published: September 2019

The effect of uniform and non-uniform salinity gradients on the onset of triple diffusive convection in a system of composite layers enclosing an incompressible, three component, electrically conducting fluid which lies above a saturated porous layer of the identical fluid is studied analytically. The upper boundary of the fluid layer and the lower boundary of the porous layer are static and both the boundaries are insulating to heat and mass. At the interface, the velocity, shear stress, normal stress, heat, heat flux, mass and mass flux are presumed to be continuous, intended for Darcy-Brinkman model. An Eigenvalue problem is attained and the same is solved by the regular perturbation approach. The critical Rayleigh number which is the guiding principle for the invariability of the system is accomplished for every salinity profile individually. The effects of various physical parameters on the onset of Triple diffusive convection are considered for all the profiles graphically.
Performance Enhancement of Evaporative Cooling by using Bamboo
Authors:   Assistant Professor, Department of Mechanical Engineering, H.V.P.M’s COET, Amravati, India, Inamdar Shoeb J. , Junghare Akshay ,   U.G Student, Department ofMechanical Engineering, H.V.P.M’s COET, Amravati, India, Kale Parimal ,   U.G Student, Department of Mechanical Engineering, H.V.P.M’s COET, Amravati, India
Published: September 2019

In daily life Air-conditioning plays an essential role in ensuring human thermal comfort. The commercially used cooling systems are intensively power consuming. So that it is necessary to save the energy in air conditioning. Among all of them the evaporative cooling techniques is well known which gives better result in saving energy and it is environmental friendly techniques. Evaporative cooling uses the fact that the water will absorb a relatively large amount of heat in order to evapor ate. The temperature of dry air will dropped because of phase change water into water vapors. Evaporative cooling requires abundant water and it works best when relative humidity is low. Evaporative cooling will be done using three methods direct evaporativ e cooling, Indirect Evaporative cooling, combined direct-indirect evaporative cooling. The main aim of this paper is to make comfort condition in terms of Temperature and Humidity and to minimize the water consumption. In this paper at a place of dry grass or cooling pads we are using hollow bamboo as fluid conduit. In hollow bamboo water continuously flows without any restriction. Some slits or holes are provided on the bamboo to enable the water and air contact and ease the evaporative action after CFD flow simulation. After providing such geometry of contact the evaporation comes to optimism and the water consumption as well as humidity is reduced, the continuous flow of water inside hollow bamboo reduce the contact time of water with air. Due to this effect the humidity of air is comparatively less than direct contact evaporative cooler, also reduces the water consumption. This type of evaporative cooler is designed to facilitate efficient evaporation of the water and circulation of cooled air.
Effective and Secure E-Governance Model of Haryana
Authors:   Research Scholar, Department of Computer Science & Engineering,Suresh GyanVihar University, Jaipur, India, Singh Jitender , Keswani Dr. Bright ,   Professor, Computer Science, Department of Computer Science & Engineering, Suresh GyanVihar University, Jaipur, India, Chaturvedi Dr. Ashish ,   Professor, Computer Science, Calorx Teachers’ University Ahmedabad, India
Published: September 2019

In today’s time, e-governance is not only in demand but also trendy. While watching the dream of “Digital India” our Prime Minister NarendraModiJi aimed at various goals and the application of ICT (information and communication technology) was one of them. This exchange of information and communication technology is a necessity not only to renew the governmental processes involved in the functioning of government services but also to integrate various stand-alone systems, to improve interactions, for greater convenience, and in cooperating the flow of information and services with different users at much faster rate. Implementation of e-governance aims at crystal –clear government , resulting in the saving of cost and time at providing and receiving services by the government and public respectively, reduction in corruption , strengthening citizen and economic growth . Our operative focus took in six main sections: glimpses on the impacts of e-governance, need for implementing this action, e-governance model, confrontation of challenges, Design and Implementation, emergence of various projects under this one roof and practical recommendations. Every unbiased coin has two different sides so as a by-product in this case also, there are some deeper issues which become weak when it comes to practical guidance, clarity, perplexed positivism regarding this technology. Haryana has empowered e-government research by the intention of penetrating its loop holes such as the institutional factors –particularly pressures of competition and time, inefficient delivery of public services, deprivation of quality services – that may restrict the development of e-government as a unified research.
Mobile E-Commerce Website for Technology-Based Buying Selling Services
Authors:   Department of Information Systems, STMIK Pringsewu, Lampung, Indonesia, Asih Eti Sri , Kasmi  ,   Department of Information Systems, STMIK Pringsewu, Lampung, Indonesia., Nguyen Phong Thanh ,   Department of Project Management, Ho Chi Minh City Open University, Vietnam., Lydia E. Laxmi ,   Vignan’s Institute of Information Technology (A), Department of Computer Science and Engineering, Visakhapatnam, Andhra Pradesh, India., Shankar K. ,   Department of Computer Applications Alagappa University, India., Hashim Wahidah ,   Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia., Maseleno Andino ,   Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia.
Published: September 2019

Buying and selling mobile phones which located at Raya Kedondong Street Waylima Subdistrict, Pesawaran District is a store that is engaged to develop, improving, and promoting the store so that it can be known outside the region. So with this, it is necessary to give easy service to the customers who are far from reach. It can be realized by (E-Commerce). Then an application system was built to help the service information about buying and selling mobile phones which uses the SDLC method, that will produce an information system related to buying and selling mobile phones. With this application, it will help the seller in managing data of ordering goods, customer data, and facilitate consumers in finding information about prices and brands of mobile phones.
Factors Influencing Work-Life Balance - An Experimental Analysis with Reference to Medical Representatives
Authors:   Ph.D Research Scholar, Department of Commerce, Periyar University, Salem, Premalatha R. , Krishnakumar Dr.K. ,   Associate Professor, Department of Commerce, Periyar University, Salem
Published: September 2019

In this fastmoving world Work-life balance of an individual is a challenging one particularly for the working professionals, such as doctors and medical representatives. In this empirical study the researcher examined the work-life balance of Medical Representatives. The main objective of the study is to find out the agreement level of Medical Representatives with regard to the influencing factors such as working timings, travel, target orientation, lack of support, physical working environment and stress. The study was conducted with the sample of 74 respondents. The analyses of the study were made with the tools of percentage analysis, one samplet-test and one way ANOVA. The study concluded that factors such as working timings, travel, target orientation, lack of support, physical working environment and stress were termed as disturbing factors.
Analysis of Profitability through Common Size Profit and Loss Statement
Authors:   Associate Professor, S. S. Jain Subodh P G (Autonomous) College, Jaipur., Sharma Dr. Davendra Kumar
Published: September 2019

A business cannot exist without profit and an economy cannot exist without sound business. Profits must be something for all to be proud of they should not be suspected. In India, public enterprises utilize such a large proportion of nation’s resources that they should run efficiently and contribute to the growth of the economy and welfare of the community. Profit making is seldom the primary objective of public undertakings. The theories of profit propounded by economists from time to time such as ‘Risk Theory of Hawley’, ‘Rent Theory of Walker’, ‘Uncertainty Bearing Theory of Knight’, and ‘Dynamic Theory of J.B. Clark’, have failed to accord a precise unequivocal meaning to this term. And with the advent of socialistic philosophy which looks at profit from an entirely different angle, the controversy has further depended. The main objectives of the present research work are to study that how assets and liabilities are managed by State Financial Corporations and how does it affect profitability through common size profit & Loss. This study will help the Rajasthan Financial Corporations in improving their assets-liabilities management efficiency and hence profitability. The suggested ways and means of practical significance for improving the techniques relating to profitability, capital structure etc. will improve the financial performance and working of the corporations.
Efforts to Overcome Mathematics Learning Difficultyfor Dislexicdiscalcular of Elementary School Students
Authors:   PGRI College of Teacher Training and Education Bandar Lampung, Lampung, Indonesia., Diswantika Noviana , Wahyudi Apri ,   Tarbiyah College of Science Pringsewu, Lampung, Indonesia., Irawan Dedi ,   Tarbiyah College of Science Pringsewu,Lampung, Indonesia., Nguyen Phong Thanh ,   Department of Project Management, Ho Chi Minh City Open University, Vietnam., Lydia E. Laxmi ,   Vignan’s Institute of Information Technology (A), Department of Computer Science and Engineering, Visakhapatnam, Andhra Pradesh, India., Shankar K. ,   Department of Computer Applications, Alagappa University, India.
Published: September 2019

For some people with dyslexia, success in the field of mathematics may be something that must be achieved with great struggle. There are various studies that report this problem that 10% of dyslexic children are geniuses in mathematics and show very good achievements in mathematics, but there are a majority of people with dyslexia experience dyscalculia or learning difficulties in mathematics. To overcome this requirement,an effort or strategy can make children absorb and understand learning mathematics well and can learn normally.
Diabetic Retinopathy Detection using Image Processing
Authors:   Professor and Principal, K.V.Subba Reddy College of Engineering for Women, Kurnool, AP, India, Naveen Dr.R. , Sivakumar Dr.S.A. ,   Professor and Head-ECE, K.V.Subba Reddy College of Engineering for Women, Kurnool, AP, India, Shankar Dr.B.Maruthi ,   Associate Professor – ECE, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India, Priyaa A.Keerthana ,   PG Scholar, Info Institute of Engineering, Coimbatore, Tamilnadu, India
Published: September 2019

The main objective of this method is to detect DR (Diabetic Retinopathy) eye disease using Image Processing techniques. The tool used in this method is MATLAB (R2010a) and it is widely used in image processing. This paper proposes a method for Extraction of Blood Vessels from the medical image of human eye-retinal fundus image that can be used in ophthalmology for detecting DR. This method utilizes an approach of Adaptive Histogram Equalization using CLAHE (Contrast Limited Adaptive Histogram Equalization) algorithm with open CV (Computer Vision) framework implementation. The result shows that affected DR is detected in fundus image and the DR is not detected in the healthy fundus image and 98% of Accuracy can be achieved in the detection of DR.
Proposed A New Multidimensional Face Recognition For Surgically Altered Faces In Security Surveillance
Authors:   Research Scholar, PAHER University, Udaipur (Rajasthan), INDIA, Chawla Dimple , Chandra Dr. Munesh ,   Trivedi, Dean (Academics), Rajkiya Engineering College, Azamgarh (Uttar Pradesh), INDIA
Published: September 2019

From previously carried out review results, authors have proposed a new multidimensional face recognition approach and applied on the sample database of sensitive medical images. The basic idea is to differentiate an individual’s identity with its own core features extracted from local or global plastic surgery. Features are being highlighted to match pre-to-post or post-to-pre surgery face images. The procedure may affect different face recognition algorithms working on linear or non-liner variations approach and that’s what multidimensional approach is meant. Hence it proves that the performance of verified rank accuracy ratio has increased in face recognition for security surveillance.
Performance Evaluation Of Machine Learning Techniques On Rpas Remote Sensing Images
Authors:   Professor, Department of Computer Science and Engineering, Bharat Institute of Engineering and Technology, Hyderabad, Telangana, India, Madanamohana R. , Nagarjunapitty P ,   Senior Scientific Officer, Indian Institute of Science, Bangalore, India, Rishitha K. ,   UG Scholar, Department of Computer Science and Engineering ,Bharat Institute of Engineering and Technology, Hyderabad, Telangana, India
Published: September 2019

Recent advancements in remote sensing platforms from satellites to close-range Remotely Piloted Aircraft System (RPAS), is principal to a growing demand for innovative image processing and classification tools. Where, Machine learning approaches are very prevailing group of data driven implication tools that provide a broader scope when applied to remote sensed data. In this paper, applying different machine learning approaches on the remote sensing images with open source packages in R, to find out which algorithm is more efficient for obtaining better accuracy. We carried out a rigorous comparison of four machine learning algorithms-Support vector machine, Random forest, regression tree, Classification and Naive Bayes. These algorithms are evaluated by Classification accurateness, Kappa index and curve area as accuracy metrics. Ten runs are done to obtain the variance in the results on the training set. Using k-fold cross validation the validation is carried out. This theme identifies Random forest approach as the best method based on the accuracy measure under different conditions. Random forest is used to train efficient and highly stable with respect to variations in classification representation parameter values and significantly more accurate than other machine learning approaches trailed.
An Efficient Regular Expression Pattern Matching Using Stride Finite Automata
Authors:   Computer Science Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India, Thota Krishna Kishore , Raj Dr. R. Jeberson Retna ,   Professor and HOD, Computer Science Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamilnadu, India
Published: September 2019

Example coordinating assumes a key job in different parcel payload identification applications, for example, interruption location, which is utilized in distinguishing the malware content in system frameworks. Various calculations and instruments have been created to improve reality complexities of distinguishing regex principles and subsequently empower profound bundle review at line rate. In this paper, a novel quickening plan is introduced to determine speed and space wasteful aspects of the customary automata and the DFA called multi-walk Finite automata that confirms more than one byte that expands the general execution of not just design matching but additionally string coordinating.
Classification Of Association Item Sets From Large Data Sets Based On User Awareness Using Hybrid
Authors:   Dept of CSE, Acharya Nagarjuna University, Guntur, AP, India, Mantena Srihari Varma , Prasad Dr. CVPR ,   Dept of CSE, Acharya Nagarjuna University, Guntur, AP, India
Published: September 2019

In business intelligence, large number of data to be generated because of increasing data in business applications. Analysis and prediction of data is very aggressive concept to evaluate the results present in data based on decision making analysis. To provide effective analysis of data traditionally some of the machine learning related methods like Clustering, Classification, Neural network based approaches and association rule based approaches were used to explore and analysis of business data. Because of increasing depth analysis of data in business intelligence related applications then above static machine learning approaches were not satisfied to form association between different attributes in real time data sets. So that in this paper, we propose Advanced & Hybrid Machine Learning Approach (AHMLA) for effective data analysis of different associated attributes of high dimensional data. Our proposed approach increase customer service, report generations based on user awareness in business intelligence applications. An experimental result of proposed approach gives better high performance with respect to different parameters with respect to existing approaches.
Design of Polar Codes for Rayleigh Fading Channel using Random Interleaver and De-Interleaver
Authors:   PG Scholar, Department of ECE, Godavarai institute of Engineering and Technology, Rajahmundry, Andhra Pradesh, India., Arunajyothi T. , Rao Dr.S.V.R.K. ,   Professor, Department of ECE, Godavarai institute of Engineering and Technology, Rajahmundry, Andhra Pradesh, India.
Published: September 2019

Rayleigh fading channel in polar codes based on random interleaver and de-interleaver is presented in this paper. Multipath fading channels are obtained by inducing the sub channels based on the transformation of polarizations. This will track the noise and diversity in the channels. The performance of polar code is improved by constructing the dynamic frozen symbol and the Nakagami channel is introduced in estimating diversity system. Random inter leaver and de-interleaver will permute the signals in effective way. Code construction will allow the system to map the address of memory location. Here the polar code encoding system will analyze the characteristics of channels. The results show that effective output is obtained based on polar code fading channel.
Agriculture Price Prediction Using Data Mining
Authors:   Basaveshwar Engineering College, Bagalkot,, Karnataka, India, Kadlimatti Veeresh , Saboji S V ,   Basaveshwar Engineering College, Bagalkot,, Karnataka, India
Published: September 2019

Agriculture is the main source and backbone of Indian Economy and plays a vital role in individual life. In the total Gross Domestic Product (GDP) agriculture nearly contributes sixteen percent and for increasing foreign exchange it contributes nearly ten percent to the total country exports. As the population continuously increasing and to manage the livelihood of the country there’s requires a proper utilization and management of agriculture products. Data mining is a better technique and best choice in predicting the accurate prices of the agriculture based on previous data. In this work various data mining algorithms are applied on the dataset to predict the future prices of the agriculture products. Keywords: Agriculture, Data-Mining, Prediction.
Anti-Dumping Policy and Its Effect on Indian Pharmaceutical Sector
Authors:   Assistant Professor, Bharati Vidyapeeth (Deemed to be University), New Law College, Pune, India, Srivastava Astha , Sinha Shivangi ,   Assistant Professor, Bharati Vidyapeeth (Deemed to be University), New Law College, Pune, India
Published: September 2019

Trade policy regimes are changing and growing towards a protectionist attitude. Liberal trade policies might harm the trade and commerce of a country. Therefore GATT contains some measures for the member countries to impose higher protection against imports. One of these measures is known as Antidumping. When a country sends its products to another country and sells it at less than the normal value it is known as dumping. Dumping results into harm to the established market practices and anti-competitive activities. Significance Statement: The paper aims at studying anti-dumping policies prevalent in our country and how dumping is effecting the pharmaceutical sector of the country.
Design and Data Analysis of Smart Grid Using Prediction Modelling Technique
Authors:   Assistant Professor, Department of EEE, Anurag Group of Institutions, Hyderabad, INDIA, Bhadraji K. , Lalu M. ,   Assistant Professor, Department of EEE, Anurag Group of Institutions, Hyderabad, INDIA, Krishna D. ,   Assistant Professor, Department of EEE, Anurag Group of Institutions, Hyderabad, INDIA, Kumar Dr.T.Anil ,   Assistant Professor, Department of EEE, Anurag Group of Institutions, Hyderabad, INDIA.
Published: September 2019

Information analytics and also information scientific research plays a substantial duty in nowadays culture. In the context of Smart Grids (SG), the collection of substantial quantities of information has actually seen the introduction of a myriad of information evaluation strategies. In this paper, we carry out a Systematic Mapping Study focused on obtaining understandings regarding various aspects of SG information evaluation: application sub-domains (e.g., power tons control), elements covered (e.g., projecting), made use of methods (e.g., clustering), tool-support, study approaches (e.g., experiments/simulations), reliability/reproducibility of study. The last objective is to supply a sight of the present standing of study. Projecting of electrical energy need has actually turned into one of one of the most vital locations of study in the electrical power market, as it is an essential element of cost-effective power system monitoring and also preparation. In this context, precise as well as durable tons projecting are meant to play an essential duty in decreasing generation prices, as well as manage the integrity of the power system. Nevertheless, as a result of require heights in the power system, projections are incorrect and also susceptible to high varieties of mistakes. In this paper, our payments consist of a recommended data-mining plan for need modeling with optimal discovery, along with making use of these details to feed the projecting system. For this objective, we have actually taken a various strategy from that of time collection projecting, representing it as a two-stage pattern acknowledgment issue.
Sec-Didrip: A Secure Routing Protocol for Wsn Using Ns-3
Authors:   Electronics and communication engineering, CVR College of Engineering, Hyderabad, India., Priya* K. Sai , Sreekanth P. ,   Electronics and communication engineering, CVR College of Engineering, Hyderabad, India
Published: September 2019

Wireless sensor networks (WSN) are responsible on improving or updating and distributing security commands for the data discovery and the dissemination protocols to update the sensor Node configuration parameters. There are two drawbacks to all current data discovery and the dissemination protocols. First, they are based on the centralized strategy; the data item can only be distributed by the base station. For emerging multi-owner-multi-user WSNs, such a strategy is not appropriate. Furthermore, those conventions have not been proposed in view of security and in this manner, assailants can promptly dispatch endeavors to harm the system. This article proposes the first-named convention (Sec-DiDrip) for secure and circulated data discovery and dissemination.
Image Fusion Technique Based on Hybrid Whale Optimization Algorithm Simulated Annealing (hWOA-SA)
Authors:   Dept. of ECE, Modi Institute of Technology, Kota, Rajasthan, India., Nawaria* Vandana , Soni Vikas ,   Dept. of ECE, Modi Institute of Technology, Kota, Rajasthan, India., Kanawade Shailaja Yogesh ,   Dept. of ECE, Modi Institute of Technology, Kota, Rajasthan, India.
Published: September 2019

Curvelet transform is a multiscale directional transformer, which allows optimal non-adaptive sparse representation of object with edge. In this paper, a new image fusion technique has been developed by combination of whale optimization algorithm (WOA) and simulated annealing (SA) along with curvelet transform. The resulting combined algorithm is abbreviated as hybrid whale optimization algorithm with simulated annealing. Initially, hWOA-SA has been applied to enhancing the quality of image using de-noising scheme. Afterwards, the curvelet transform has been employed to carry out the fusion of images. In terms of PSNR, the curvelet transform exhibits the better performance. The effectiveness and validation of the proposed scheme has been carried-out using quality matrices. The performance analysis is carried out after checking the effectiveness of proposed approach by evaluating the various parameters such as: RSME, PFE, MAE, CORR, SNR, PSNR, MI, UQI and SSIM and compared with numerous techniques. Simulation results obtained from proposed hWOA-SA based image fusion are very competitive and better than other image fusion technique available in the literature.
Enhancement of Opportunistic Co-Occurrence of U-LTE and Wi-Fi/Iot in 5 GHz Using Cognitive Radio
Authors:   Department of Computer Science, Bharathiar University, Coimbatore, India., Muniyappan* A. , Pankajavalli P. B. ,   Department of Computer Science, Bharathiar University, Coimbatore, India.
Published: September 2019

In this modern era, Unlicensed Long-Term Evolution (U-LTE) is the most interested research area to enable its access in 5GHz ISM unlicensed band for increasing data rate and spectral efficiency. The major constraint for accessing these frequencies is being able to coexist with other Wi-Fi/IoT users. Such constraint has been tackled by developing Wi-Fi/IoT by using Cognitive Radio Network (CRN) with two objectives such as deploying the Listen-Before-Talk (LBT) regulatory requirement of radio communication in U-LTE and enhancing their co-existence with Wi-Fi/IoT users in a non-interference manner. However, uplink data transmission was not considered in the unlicensed spectrum usage and also the spectrum efficiency was less. Hence, in this paper, the co-occurrence between LTE and Wi-Fi/IoT using CRN is further enhanced and realized. Initially, the co-occurrence between LTE and Wi-Fi in the unlicensed spectrum is enhanced by proposing efficient spectrum utilization based on Conflict-Tolerant Channel Allocation (CTCA) algorithm that reduces the channel inconsistencies efficiently. Moreover, this algorithm is enhanced to increase the spectrum efficiency and simultaneous transmissions in the similar channel based on an enhanced Cell ON/OFF mechanism which optimizes the resource allocation. Finally, the simulation results show that the performance efficiency of the proposed system compared to the existing in terms of spectrum efficiency, throughput and transmission time delay.
Automatic Arial Vehicle Based Pesticides Spraying System for Crops
Authors:   Professor and PG Co-ordinator in E&TC Engg. Department of P.V.P. Institute of Technology Budhgaon, Sangli., Chavan* Madhukar S.
Published: September 2019

Aircraft are becoming unmanned increasingly popular as demands for increasing population and agriculture are being met. With the right cameras, detectors and components, Drones will contribute to a simple, effective and accurate cultivation. The solutions proposed for these drones can help improve things even further if they are integrated into various machine learning concepts and internet concepts. This document highlights the related work in this area along with suggested solutions that can be integrated into drones using the result of the Microcontroller 8051 module.