bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of Activator on the strength of Ultra Fine Natural Steatite Powder based on Geopolymer Mortar
Authors:   School of Environmental and Construction Technology, Department of Civil Engineering, Kalasalingam Academy of Research and Education, Krishnan Koil, Tamil Nadu, India., R Premkumar , Chokkalingam Ramesh Babu ,   School of Environmental and Construction Technology, Department of Civil Engineering, Kalasalingam Academy of Research and Education, Krishnan Koil, Tamil Nadu, India., Shanmugasundaram M ,   School of Mechanical and Building Sciences, Vellore Institute of Technology, Chennai, Tamil Nadu, India,
Published: January 2020

In this study the detailed analysis was made on alkali activated ultra fine natural steatite powder (UFNSP) mortars. The activating alkali was prepared through sodium hydroxide and sodium silicate with different molarities concentration of NaOH. The molarities of NaoH are various from 8, 10, 12, 14 and 16. The proportion of sodium hydroxide and sodium silicate proportion are fixed 1:2.5. Further the strength gained was accelerated through polyvinyl alcohol [PVA]. And various water binder ratio of 0.5, 0.6, 0.7, 0.8 and 0.9 with addition of PVA. For workability purpose super plasticizer was used, here Poly carboxylic ether was used as a superplasticizer. These various ratios concentration of alkali activators were tried on compressive strength of polymer mortar and the results were discussed. The watched outcomes demonstrate that, increment in sodium hydroxide content in soluble base fluid expands the strength. Exhibit the outcome was effect of Si/Al proportion on compressive strength of the specimen with various water binder proportions. In general, the study shows that integrating low ratio of Si/Al content in UFNSP with PVA can fetch low binding property on alkali activator UFNSP material.
Singularity Analysis of 3 DOF Parallel Manipulators for Angular Drilling in Medical Applications
Authors:   Senior Associate Professor, Design and Automation Research group, School of Mechanical and Building Sciences, Vellore Institute of Technology, Chennai, Tamil Nadu, India., Selvakumar Dr. A. Arockia
Published: January 2020

This paper focuses on two 3 – PRS (Prismatic – Revolute – Spherical) parallel manipulators (PMs) carried out by considering three type of singularities. For the study, pin joint forces and torques, linear displacement of nut and mobile platform (MP) tilt of TRIPOD and TRI-GLIDE PMs are taken as important parameters. The singularity positions of the parallel manipulators are simulated in ADAMS environment. The geometrical parameters of the parallel manipulators are considered in logical approach. Based on the results, the concluding remarks are summarized at the end to design the 3 - PRS parallel manipulators with better singular positions for angular drilling in medical applications.
Crimped and Hooked End Steel Fibre Impacts on Self Compacting Concrete
Authors:   Department of Civil Engineering, Kalasalingam Academy of Research and Education, K Mukilan , C Rameshbabu ,   Department of Civil Engineering, Kalasalingam Academy of Research and Education, Ganesh A Chithambar ,   Department of Civil Engineering, Kalasalingam Academy of Research and Education
Published: January 2020

Self-compacting concrete is gaining importance in recent years due to its highest versatility in replacing compacting equipment and there by reducing the constructional flaws. The only limitation of SCC of compromising with strength has been challenged by the addition of steel fibers in this paper. In this research work two types of steel fibers such as crimped type and hook end type are utilized in various proportions such as 0.4%,0.8%, 1.0% and 1.25%. SCC mandatory tests such as Flowing ability, filling ability and passing ability were determined and then the mechanical properties such as compressive strength and split tensile strength have been determined. Results show the unique variation with reference to the different type of fiber and different volume of fiber. This unleashes a lot of scope in the field of Fiber reinforced Self compacting concrete
Quantitative Exploration of Opacity for Cloud Computing Systems
Authors:   Student, Saveetha School of Engineering, SIMATS, Chennai, India, Krishna S. Naveen , R Sabitha ,   Professor, Saveetha School of Engineering, SIMATS, Chennai, India
Published: January 2020

United cloud frameworks increment the dependability and lessen the expense of the computational help. The subsequent mix of secure private mists and less secure open mists, together with the way that assets should be situated inside various mists, emphatically influences the data stream security of the whole framework. In this paper, the mists just as elements of a combined cloud framework are alloted security levels, and a probabilistic stream delicate security model for a unified cloud framework is proposed. At that point the thought of murkiness — an idea catching the security of data stream — of a distributed computing frameworks is presented, and various variations of quantitative examination of haziness are exhibited. Accordingly, one can follow the data stream in a cloud framework, and break down the effect of various asset assignment techniques by measuring the comparing murkiness attributes. Joined cloud frameworks increment the immovability and diminish the expense of the computational help. The resulting mix of secure private mists and less secure open mists, together with the way in which that advantages should be orchestrated inside various hazes, unequivocally impacts the data stream security of the whole structure. In this paper, the mists comparably as substances of a joined cloud structure are alloted security levels, and a probabilistic stream delicate security model for a united cloud framework is proposed. By then the possibility of shadowiness — an idea getting the security of data stream — of a passed on figuring frameworks is presented, and various assortments of quantitative assessment of obscurity are appeared. Thusly, one can seek after the data stream in a cloud structure, and take a gander at the effect of various asset scattering systems by surveying the differentiating dimness attributes.
Effect of Elevated Temperature over Geopolymer Concrete
Authors:   completed Professor in Civil Engineering department at Kalasalingam University, Tamilnadu, India., Ganesh Mr. A. Chithambar , M Dr. Muthukannan ,   Assistant Professor, Department of Civil Engineering at Kalasalingam University, Tamilnadu, India.
Published: January 2020

Geopolymer Concrete(GPC), an ecofriendly material is being used as an alternative to Ordinary Portland Cement Concrete in many areas. Research in the area of Geopolymer is acquiring strength and results predict that Geopolymer possess better engineering properties than the ordinary cement concrete under conventional conditions. Many literatures are available in the vicinity of Geopolymer concrete whereas only a few threw lime light on the residual strength of GPC after being exposed to raised temperatures. In this study, Flyash based Geopolymer Concrete were casted for different molarities and cured in two regimes separately under ambient and heat condition. These specimens were then exposed to elevated temperature of 800OC for 1 hour and their mechanical properties such as compressive strength and split tensile strength were analyzed. The tests were carried out under normal and rapid cooling conditions. The workability of the concrete were also determined using the compaction factor test. Results predict that Geopolymer Concrete possesses better residual strength at 13M and workability was found to decrease with increase in molarity of the NaOH solution.
Influence of Hybrid Nano-Particles on Properties of Cement Mortar
Authors:   Department of Civil Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, India., Sivamani Jagan , Neelakantan T.R. ,   Civil Engineering Department, Kalasalingam Academy of Research and Education, Krishnankoil, India.
Published: January 2020

Development of voids is one among the important properties that deprive the strength and durability of cement concrete. Voids not only been developed between heterogeneous ingredients of concrete but as well among the homogenous ingredients due to improper compaction and poor quality of materials etc. In this study, an attempt has been taken to study the effect of reduction in voids among the homogenous materials on strength properties of cement mortar. To counteract formation of voids, a Nano-material (Ceric Ammonium Nitrate H8N8CeO18) is being loaded over another Nano-material (Silica SiO2) each having different properties to act as a single Hybrid Nanomaterial (HN). Pore volume analysis, Infra-red test, and SEM analysis were performed to study the properties of HN. On the other hand, various tests like setting time, compressive strength and split tensile strength were performed on cement mortar specimens upon addition of HN by 3%, 5%, 7%and 10% by weight of cement. Results reveal that strength of mortar with HN is higher compared to mortar with Nano silica as well as conventional cement mortar specimens.
Examination of Advanced Treatment Technologies for Textile Dye Wastewater
Authors:   Department of Civil Engineering, Kalasalingam Academy Research & Higher Education, Krishnankoil,, India., Rajesh S. , Premkumar R. ,   Department of Civil Engineering, Kalasalingam Academy Research & Higher Education, Krishnankoil,, India.
Published: January 2020

The worldwide population is developing and along these lines, the world may event incredible freshwater shortage. Our water assets are lacking and, thus, water management and reusing techniques are the main choices for receiving freshwater later on decades. Accordingly, there is an incredible requirement for the advancement of proper, reasonable and quick wastewater. The common plan of this investigation is based on assessment and comparison, of the chance of apply advanced treatment techniques (Aeration process and Fenton oxidation process) for the exclusion of residuals organic pollutant present in Dye wastewater. The various procedures, which influence the compound oxidation, for colors in their fluid arrangements are considered by utilizing Aeration and Fenton's responses. These Processes are Aeration and Fenton Oxidation Process- (Hydrogen peroxide dose). Finally, EC, COD, BOD, Turbidity, TDS, TSS, and Phosphate, when the oxidation procedure is determined to guarantee the flawless obliteration of natural colors during their expulsion fromwastewater. The Compared optimum conditions were 6ml/l of Fenton (H2O2) demonstrate that Fenton's oxidation procedure effectively accomplished excellent evacuation capability.
A Learn on Air Quality Monitoring in Tirunelveli
Authors:   Department of Civil Engineering, Kalasalingam Academy Research & Higher Education, Krishnankoil,, India., Rajesh S. , Vanitha Dr.S. ,   Department of Civil Engineering, Kalasalingam Academy Research & Higher Education, Krishnankoil,, India., Premkumar R. ,   Department of Civil Engineering, Kalasalingam Academy Research & Higher Education, Krishnankoil,, India.
Published: January 2020

Progressing air quality observing study in the Tirunelveli has given almost persistent information to the centralizations of gas-stage Pollutants from its inception in June 2013 to September 2014. In addition to PM10 focuses, Concentrations of organic carbons and total suspended particulate were likewise estimated. The rate of emission and concentration of the ambient air is controlled by the accompanying techniques. Altered West & Gaeke's strategy for assurance of SO2 at the surrounding atmosphere Adjusted Jacob & Hochheiser's strategy for assurance of NOx in encompassing atmosphere, and Gravimetric Method for the estimation of PM10. The surrounding checking and source portrayal information, results show that ATG tires and Cement plant outflows represented the majority of fine molecule mass focuses watched. At the Peak 24-h average concentrations of cement plant in (2013-14.83μg/m3of NO2, 10.33μg/m3 of SO2 and 60.17μg/m3 of TSP, in 2014-14.17μg/m3 of NO2, 12.67μg/m3 of SO2 and 58.33μg/m3 of TSP), Paper Mills in (2013-10.5μg/m3of NO2, 8.67μg/m3 of SO2 and 56.5μg/m3 of TSP, in 2014-9.97μg/m3 of NO2, 9.27μg/m3 of SO2 and 33.83μg/m3 of TSP), and ATG Tires in (2013-19.94μg/m3of NO2, 6.34μg/m3 of SO2 and 58μg/m3 of TSP, in 2014-13μg/m3 of NO2, 5.6μg/m3 of SO2 and 52.6μg/m3 of TSP). The results of gaseous and suspended solid pollutants concentration compare with the permissible concentration of CPCB Standards. That contamination scene was thought to have added to a considerable increment in mortality.
Identity based Encryption with Cloud Revocation Authority
Authors:   Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Reddy D. Vishnu Vardhan , Jaisharma K. ,   Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Devi T. ,   Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences
Published: January 2020

Identity-based coding/encryption (IBE) is a public key encrypted system that take outs the strain of public key infrastructure (PKI) and certified administration in standard crypto public key settings. In this public key system is not used, the downside may be a crucial thing in IBE settings. Many IBE schemes are proposed relating to this issue. Recently, by embedding associate degree computation techniques has been into IBE, Li et al. proposed an Identity-based encryption theme along with a key-update cloud service supplier. Their theme has 2 things one is that the computation overhead and other is communication prices are more than previous IBE schemes. The defect is lack of quantify ability within the sense that the key-update cloud service supplier should keep a secret worth for every user. With this article, we have a tendency to propose a replacement rescindable IBE theme with a cloud revocation authority (CRA) to solve the problems of 2 short things. The work is drastically improved and also the cloud revocation authority holds a secret for all users. For security purpose, we have a tendency to show that the proposed theme is totally secure beneath the additive Diffie-Hellman key Exchange (DBDH) assumption. Finally, we have a tendency to extend the proposed Identity-based encryption theme to gift a CRA cloud revocation authority authentication theme with limited privileges for an oversized range of assorted cloud technique services.
A Knowledge Representation Model using Concept-Relation Graph
Authors:   Research Scholar, School of Computing Science and Engineering, VIT University, Chennai, India., Kamala S. Praveena Rachel , S. Justus ,   Associate Professor, School of Computing Science and Engineering, VIT University, Chennai, India.
Published: January 2020

Huge volume of relevant and irrelevant information is available from different sources for gaining knowledge about a system. If the required data is in a structured form, then the fact can be easily understood otherwise the process becomes laborious and results are vague after intense analysis. In this paper, we are proposing a framework for fetching knowledge from unstructured source of data. The algorithms proposed identifies the concepts and separates the concepts and relation words, enables to add new concepts and also modify the old concept word with new concept and locate the concept. This Concept-Relation Model enables the system to work according to the users’ connivance and deliveries accurate knowledge. This model does not manipulate or interpret the information provided but only represent and share the desired knowledge.
Regularized Deblurring using Directional Prior with Sparse Representation
Authors:   Department of Electronics and Communication Engineering, S.R.M. Institute of Science and Technology, Chennai, India., Dhar Subhajit , Srivastava Mayank ,   Department of Electronics and Communication Engineering, S.R.M. Institute of Science and Technology,Chennai, India., Maik Vivek ,   Department of Electronics and Communication Engineering, S.R.M. Institute of Science and Technology, Chennai, India.
Published: January 2020

Blind deconvolution defined as simultaneous estimation and removal of blur is an ill-posed problem that can be solved with well-posed priors. In this paper we focus on directional edge prior based on orientation of gradients. Then the deconvolution problem is modeled as L2-regularized optimization problem which seeks a solution through constraint optimization. The constrained optimization problem is done in frequency domain with an Augmented Lagrangian Method (ALM). The proposed algorithm is tested on various synthetic as well as real data taken from various sources and the performance comparison is carried out with other state of the art existing methods.
An Efficient Malware Detection System using Hybrid Feature Selection Methods
Authors:   School of Computing Science and Engineering, Vellore Insitute of Technology, Chennai, India., Roseline S. Abijah , Geetha S. ,   School of Computing Science and Engineering, Vellore Insitute of Technology, Chennai, India.
Published: January 2020

Malware is a serious threat to individuals and users. The security researchers present various solutions, striving to achieve efficient malware detection. Malware attackers devise detection avoidance techniques to escape from detection systems. The key challenge is that growth of malware increases every hour, leading to large damages to users’ privacy. The training process takes much longer time, mining the unnecessary features. Feature Selection is effective in achieving unique feature set in detecting malware. In this paper, we propose a malware detection system using hybrid feature selection approach to detect malware efficiently with a reduced feature set. Machine learning based classification is performed on eight classifiers with two malware datasets. The experiments were done without and with feature selection. The empirical results show that the classification using selected feature set and XGB classifier identifies malware efficiently with an accuracy of 98.9% and 99.26% for the two datasets.
Sustaining the Life of Wireless Sensor Node with Energy Harvesting
Authors:   Dept. of ECE,Mar Baselios College of Engineering & Technology, Thiruvananthapuram, India., Rao S. Viswanatha , Pillai Sakuntala S. ,   Former Dean(R&D), Mar Baselios College of Engineering & Technology, Thiruvananthapuram, India., G. Shiny ,   Dept. of ECE, College of Engineering & Technology, Thiruvananthapuram, India.
Published: January 2020

Wireless Sensor Networks (WSN) play a significant role in a number of sensing and monitoring applications. It has also become a key enabling technology for Internet of Things (IoT). Most of the earlier works were focused on extending the battery life by reducing the energy consumption of the wireless node. Availability of small footprint devices capable of ambient energy harvesting has triggered renewed interest in enhancing the performance of WSNs. In this paper we propose a novel method that can be applied to duty cycle based Media Access Control (MAC) protocols in energy harvesting WSNs to sustain the life of the node. Our approach takes into consideration the solar energy available at any instant of time so as to maximize the performance. We have conducted detailed measurements and analysis of solar energy harvested under different conditions. Our results show significant enhancement in throughput achieved while sustaining the life of the node.
Microarray Data Classification using Artificial Neural Network
Authors:   Assistant Professor, Department of Computer Science, Marudupandiyar College of Arts and Science (Affiliated to Bharathidasan University), Thanjavur., Kalyani K
Published: January 2020

The accurate cancer classification is very important task for cancer treatment. Recently the informative genes are identified from the thousands of genes for correct cancer classification. The collection of microscopic Deoxyribo Nucleic Acid (DNA) microarray is attached in the solid surface. In this study, DNA microarray data is used for cancer classification. The system uses Artificial Neural Network (ANN) for DNA Microarray Data Classification (MDC). Initially, the preprocessing step is made by using log transformation method to remove the raw data and feature selection. These selected features are classified by using ANN. REctified Linear Unit (RELU) activation function is used as the activation function in each ANN layer. Softmax is used for classification. The performance of the system is made by using leukemia dataset. MDC system produces the classification accuracy of 91.65% by using ANN
Low Power Multiplier using Approximate Compressor for Error Tolerant Applications
Authors:   School of Electrical Engineering, VIT, Chennai, M Balaji , Gundavarapu Vishal ,   School of Electrical Engineering, VIT, Chennai, P Sasipriya ,   School of Electrical Engineering, VIT, Chennai, Bhaaskaran V S Kanchana ,   School of Electronics Engineering, VIT, Chennai
Published: January 2020

Approximate or inexact computing has gained a significant amount of attention for error tolerant systems such as signal processing and image processing applications. In this paper, a comprehensive analysis and evaluation of multipliers realized using the existing approximate 4-2 compressors towards achieving low power has been presented. 8-bit Dadda multiplier has been chosen and the power consumption comparison has been performed. The exact multiplier has also been realized to enable the calculation of power savings for the approximate multipliers. An image compression algorithm using approximate multipliers has been implemented to analyze the operability of the approximate multipliers. Accuracy of the approximate multipliers has also been computed by means of Normalized Error Distance (NED) and PSNR. All the circuits are designed using 45nm CMOS process technology and simulations are carried out using Cadence® Virtuoso design tools.
On Computing Cluster Centers of Trapezoidal Fuzzy Numbers
Authors:   School of Advanced Sciences, VIT University, Chennai Campus, Chennai, India, Sreenivasan S. , Balamurugan B. J. ,   School of Advanced Sciences, VIT University, Chennai Campus, Chennai, India.
Published: January 2020

In this paper we compute cluster centers of trapezoidal fuzzy numbers through fuzzy c means clustering algorithm and kernel based fuzzy c means clustering algorithm. A new complete metric distance between the trapezoidal fuzzy numbers is used to compute the cluster centers on the set of trapezoidal fuzzy numbers.
Physical Properties of Surrogate’s Blood
Authors:   Engineering Physics Lab, School of Technology, MANUU Poly DBG Satellite Campus, Maulana Azad National Urdu University, Gachibowli, Hyderabad-500 032, T.S., India., Syed Mohammed Shoaib , Khanam Deshmukh Saira ,   Department of Physics, Sri Krishnadevraya University, Ananatapur-515003, A.P., India, Jilani Shaik Abdul Khader ,   Department of ECE, Madanapalle Institute of Technology and Science, Madanapalle-517325, A.P., India
Published: January 2020

The present paper discusses methods to determine Coefficient of Viscosity, Volume flow rate, Surface Tension, Turbidity, Size and shape of Surrogate’s Red Blood Cells with the help of different techniques like “Capillary tube method” & “Laser diffraction technique” designed and developed in our Biophysics Laboratory and comparison with the normal pregnant women’s blood. Significant variations are observed in the trails. This variation may be attributed to the number of factors including past reproductive history, maternal age, reason of fertility and life style factors of surrogate’s and normal pregnant women. This investigation identifies grounds of several adverse effects/conditions being associated with Surrogacy and compare with Normal pregnancy. Further discussed the more interesting results along with future directions.
Productivity Improvement and Zero Defect in Diff Case Sub Assy Line
Authors:   Department of Mechanical Engineering, Kalasalingam Academy of Research & Education, Virudhunagar Dist., Tamilnadu, India., Premkumar T. , Kumaran M. ,   Department of Mechanical Engineering, Kalasalingam Academy of Research & Education, Virudhunagar Dist., Tamilnadu, India., Kandeeban V. ,   Department of Quality Assurance, Tractor and Farm Equipment (TAFE) Ltd., Kalladipatti – 624201, Dindigul Dist, Tamilnadu, India.
Published: January 2020

The Differential case is considered as the very critical assembly and it plays very important role in power distribution to the both axles i.e. LH axle housing and RH axle housing. In this assembly line there is lot of internal quality issues and bottlenecking areas, this leads to pulling down the overall productivity and Right at First time. Hence I take this as a project to improve the productivity and to reduce quality defects to zero. Here I used the tool as lean principles of eliminating the waste for productivity improvement and six sigma tool for quality improvements. This two are the highly efficient tool which is used nowadays for all the analysis.
Effect of Moisture Absorption on Hardness of Surface Treated Luffa Cylindrica / Polyster Composite
Authors:   Departmen of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil-626 126, India, Benny J. , Arunselvan DN. ,   Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil-626 126, India, Kalusuraman N G. ,   Faculty of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil-626 126, India, Siva I ,   Faculty of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil-626 126, India
Published: January 2020

The natural fibers have been received much more attention in research due the better compatibility, high strength, easy availability etc. The work addresses the moisture absorption on surface treated luffa fiber reinforced polyester composite. The fibers are treated with NAOH solution. The luffa fiber reinforced polyester composite were prepared by the compression moulding technique with optimum pressure of 17MPa. The composites were prepared for 50% fiber loading condition. The prepared composites are subjected to moisture absorption test for 1hr,5 hr and 10hrs. The result shows that the treated composite possesses the high hardness than the untreated composites.
Bit-and-Piece DDoS attack Detection based on the Statistical Metrics
Authors:   Department of Computer Applications, Kalasalingam Academy of Research and Education, Krishnankoil, Tamil Nadu, India., Subburaj T. , Suthen K. ,   Department of Information Technology, Kalasalingam Academy of Research and Education, Krishnankoil, Tamil Nadu, India.
Published: January 2020

on each successive day, the DDoS attacks are increasing, improving and becoming more critical than ever before. In 2018, CISCO predicted that DDoS attack traffics may reach to 3.1 billion during 2021. Bit and Piece DDoS attack is an emerging attacking technique was found and reported by Nexusguard. This attack mainly targets the communication service providers and it injects unwanted junk information in to the legitimate traffic and thus bypasses the detection techniques. This work is aimed to propose a novel approach for detecting bit and piece attack using statistical metrics. Here, the packet flow is monitored at every second and the variations in the data flows easily identified as an attack.
A Segmentation Method of Fused Multispectral and Panchromatic Images using Quick Shift Algorithm and Brovey Transform
Authors:   School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India, C Vanmathi
Published: January 2020

Satellite Image Processing has always been a good domain to carry out researches. This is mainly due to the probability of the vast nature of the domain. There are many Image fusions and segmentation methods are available in the area of Satellite Image Processing. The presented research work proposes the image fusion method to inter twined the high determination panchromatic (PAN) picture and the low-determination multispectral picture to gain the multispectral image of high determination. For picture fusion the Brovey transform is used. The derived inter twined picture is granted as an input to the further segmentation process. Segmentation of the image obtained after the fusion is done and the recognition of land, marine, plantation and residential ranges are shown in the picture of the particular location gained from the satellite. For the segmentation of the fused satellite picture the Quick Shift Segmentation clustering technique is used. Utilizing Quick Shift Segmentation on the combined image the various sections can easily be identified as compared to the unprocessed picture gain from the satellite. Scientists utilize Brovey transform to intertwined RGB colour pictures to high determination panchromatic (PAN) pictures. In the proposed work, the main focus is to degrade spectral irregularity and enhancement of spatial data on merging the pictures of satellite Limitation of the current technique of the combination of images for example restricted directionality, shift invariant, absence of the data are amended by using Brovey transformation. The outcomes of the current system are generally unsatisfied. To overcome this Quick Shift Segmentation technique is used with the Brovey transform in the proposed system. The exactness of segmented image is checked with respect to reference information. The fused image segmentation outcomes have been ascertained and it shows that Brovey transform with interaction of Quick Shift Segmentation technique provides more successive outcomes.
Safety Pesticides Indicator using Hardware Model
Authors:   Associate Professor, Department of Computer Science and Engineering, School of Computing, Kalasalingam Academy of Research and Education, Tamilnadu, India., S Karkuzhali , S Siri Chandana ,   IV Year B.Tech Computer Science and Engineering, Kalasalingam Academy of Research and Education, Tamilnadu, India.
Published: January 2020

Pesticides are extensively used in agricultural production to prevent or control pest, diseases, weeds and plant pathogens in an effect to diminish or eradicate yield losses and maintain high product eminence. In this pesticide process the farmers are widely affected by using pesticides, the potential solution for this problem is a safety pesticide indicator and this indicator helps the farmer to use pesticides in harmless manner. The proposed method is used to develop the hardware and software application for the Safety Pesticide Indicator. This pesticides indicator will ensure the safety of farmer and prevent the soil pollution from harmful pesticides
Gene Selection using a Hybrid RFE along with LASSO for Cancer Classification
Authors:   Department of Information Technology, Kalasalingam Academy of Research and Education, Srivilliputhur, India., Abinash  , Vasudevan  ,   Department of Information Technology, Kalasalingam Academy of Research and Education, Srivilliputhur, India.
Published: January 2020

Gene expression profiling using microarray technology has done with the chip based phenomena. For studying gene expression data are more helpful in knowing various diseases and more useful in finding diseases. Recently in the bioinformatics field, cancer prediction using gene expression data had made the assuring area. Samples having the gene attributes will not surely give the efficient amount of classification. Overcoming these contribution, a strong method is required for selecting the relevant gene features for building the classification model effectively. Basically least absolute shrinkage and selection operator (LASSO) and Recursive feature elimination (RFE) are automatic gene feature selection methods used for classification. Here in our proposed work, we use these two methods as a hybrid one for selecting the features and later it applied into the Support vector machine (SVM) for easy classification. It made best when compared to the existing techniques by their performance measures, were regulated on six publically available cancer datasets. Just out it gives the good awareness in the selection of features.
Analysis of Crop Production Dataset using R Tool
Authors:   Department of CS & IT, Kalasalingam Academy of Research and Education, Krishnankoil, Virudhunagar, Tamilnadu, India,, Srividhya A. , Sumathi Dr.K. ,   Assistant Professor, Department of CS & IT, Kalasalingam Academy of Research and Education, Krishnankoil, Virudhunagar, Tamilnadu, India,
Published: January 2020

Agriculture is the most important factor of the Indian economy, but this vital industry which currently needs more support than any other. Agriculture is the main sector which is responsible for feeding every individual, but the people involved in it are totally neglected and last to be taken care of. With newer problems cropping up every day in the most inevitable indigenous sectors, it is high time we resort to emerging technologies for solutions. Effective Data Analysis is used to predict the production values and market rates. In this paper Agriculture data of virudunagar district is analyzed using R Tool and Microsoft Azure in different aspects such as percentage of crop produced in various season, Production details of various crops, and crop production in different years from 1997 to 2013. The dataset is also analyzed to list out the low production crops, average production crops and high production crops using R Tool.
Swachh Bharath
Authors:   Information Technology, Kalasalingam Academy of Research and Education, Krishnankoil, India., B Rakesh , M Hemamalini. ,   Information Technology, Kalasalingam Academy of Research and Education , Krishnankoil, India, M Santhiya. ,   Information Technology, Kalasalingam Academy of Research and Education , Krishnankoil, India, K Suthendran. ,   Information Technology, Kalasalingam Academy of Research and Education , Krishnankoil, India.
Published: January 2020

The universe is struggling to survive because of its increasing population. Overpopulation leads to social and environmental problems viz., polluted cities, reduced fresh air (oxygen) and thus results in incalculable diseases and infections. The Indian government has taken initiative to clean up its streets, roads, towns and rural areas through Clean India Mission [1]. However, the result is not appreciable. This work aims to develop mobile application which enables the users/volunteers to report issues through GPS enabled photographs. The administrator will analyze the issue and its location and then reassigns the reported issues to the concerned authorities with priority. After completing the reported issues the GPS enabled picture will be uploaded to the system by concerned authorities to close the issue. Our work removes all the hurdles available in the existing system. The stakeholders finds easy to report, analyze, reassign and track the issues in time.
Deep Learning-based mobile robot for warehouse keeping
Authors:   Student, Dept. of CSE, Kalasalingam Academy of Research and Education, Tamil Nadu, India., Awasthi Akash , Vamsi A. Madhu ,   Student, Dept. of CSE, Kalasalingam Academy of Research and Education, Tamil Nadu, India., Deeplakshmi P. ,   Professor, Dept. of CSE, Kalasalingam Academy of Research and Education, Tamil Nadu, India.
Published: January 2020

As the warehouse plays a crucial role in the supply chain between the manufacturers and end-user or consumers, it is more important to adopt automation in large warehouses and industries. The large e-commerce companies like FLIPKART, AMAZON, SNAPDEAL etc. ship millions of goods and products from one place to another whose distance is in hundreds and even thousands of kilometres. These companies’ warehouses sometimes are as big as nine football pitches or grounds which employ thousands of people for their inventory management. In this technically growing world, we need to reduce the manually done works by efficiently using the automation technology. This paper presents a modified design of Autonomous Inventory Management for Warehouses using automated mobile robots. This proposed work mainly focuses on robotic operations in logistics and warehouses, especially on obstacle avoidance and detection of the destination where it should halt (ie., location of desired object). It will adopt the surroundings by itself by using Machine Learning techniques. Once it reaches the destination, objects will be placed in tote by person and now it will reach preferred location in warehouse.
Design of Integrated Exploitation Console using Hak5
Authors:   Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, India., Jeevanantham M. , kani C.Thamarai ,   Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, India., Visweswaran N. ,   Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, India., Deepalakshmi P. ,   Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, India.
Published: January 2020

Hacking is hard for a beginner tech enthusiast to learn hacking or exploit vulnerabilities in real time network or organization. This proposal aims to provide the detailed information of the framework specifically created for HAK5 tools including rubber ducky, a keystroke injection tool looks like a generic flash drive. Computers recognize the rubber ducky as a regular keyboard and automatically accept its pre-programmed keystroke payloads at over 1000 words per minute. LAN turtle is an USB Ethernet adapter with set of backdoors which can be configured by the attacker. These USB Ethernet adapters can be used to remote access computers and create man-in-the-middle attack for testers and network administrators, bash bunny tricks computers into stealing data, documents and install backdoors and other exploits. Wi-Fi pineapple lets attackers to perform man-in-the-middle attacks, advanced reconnaissance, credential harvesting, open source intelligence gathering and more, all from a web based console. This helps the beginner to attack the victim’s computer by helping to create payloads to steal data from victim computer or to create malware and inject them into the victim computer. In this project, we use our integrated console to configure the HAK5 tools to attack or pentest the network in an organization.
Canny Helmet: A Sustainable Protection for New Generation
Authors:   Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankovil, India., Divyapushpalakshmi  , Ramalakshmi R. ,   Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, India., Ramachandran V. ,   Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, India.
Published: January 2020

The thought of developing this project came from social responsibility towards the society. As we can see many accidents occurring around us in our day-to-day life. Usually people die due to lack of treatment in proper time. The reasons for this may be many such as late arrival of ambulance, no person at place of accident to give information to the ambulance. Therefore, this paper came up with idea of giving the information about accident as soon as possible and in time. Thus, the death rate due to bike accident can be minimized. Here the vibration sensors in the helmet that are connected to Arduino board that delivers an input when the rider crashes. Based upon the sensor value, the Arduino extract GPS (Global Positioning System) data and then GSM (Global System for Mobile communication) module automatically sends message to ambulance, police and family members with GPS location. Then the accidents caused due to over fall of light at nighttime can also be avoided here by helmet equipped with the feature, automatic change of night mode visor. In addition, the android mobile communication can be done via Bluetooth module in the helmet.
Health Care Analysis using Block Chain Technology
Authors:   Associate professor, Department of Information Technology, Kalasalingam Academy of Research and Education, Krishnankoil, India., Balakannan S. P. , Maragatharajan M. ,   Assistant professor, Department of Information Technology, Kalasalingam Academy of Research and Education, Krishnankoil, India, Venkatesulu M. ,   Senior professor, Department of Information Technology, Kalasalingam Academy of Research and Education, Krishnankoil, India
Published: January 2020

Blockchain technology is an emerging area which connects all the functionalities of systems and computing. It converts all the information into chain of blocks and gives access rights to authenticated persons. So industries like healthcare, education and etc using this technology for confidential data processing. Especially in healthcare the patient record and drug management needs to be secure much. Here, we have proposed a method using blockchain to secure the information.
Attribute - Semantic Based Access Control Policy Model for IoT
Authors:   Deaprtment of Computer Applications, Kalasalingam Academy of Research and Education, Krishnan koil. India., Murugesan Mr. Arun , Saminathan Dr. Balamurali ,   Deaprtment of Computer Applications, Kalasalingam Academy of Research and Education, Krishnan koil. India., Kanapathy Dr. Maheswari ,   Deaprtment of Computer Applications, Kalasalingam Academy of Research and Education, Krishnan koil. India.
Published: January 2020

Internet of Things (IoT) devices under cloud assistance is deployed in different distributed environment. It collects sensed data and outsources the data to remote server and user for sharing. As IoT is used in important fields like healthcare, business and research, the sensed data are sensitive information which needs to be protected. Encryption is usual technique to protect data from adversaries. A fine grained access control is essential for heterogeneous device involved social network. The existing access control policies were defined for predefined identity and role which needs to be changed in dynamic situations. Moreover, all the necessary policies cannot be defined in advance and new policies were demanded for new situational context. To solve these issues, this work design a model which calculate final trust value based on semantic information dynamically referring to ontology. a access control policy is also designed on semantic role of the device. The semantic technology is used for high level reasoning of the context situation.
Synthesis and Characterization of Gellan Gum-Pyridoxine Nanoparticle for Treatment of Localized Peripheral Neuropathy
Authors:   Department of Biotechnology, Kalasalingam Academy of Research and Education, Krishnankoil, R Vigneshwaran , M Sankar ,   Department of Biotechnology, Mepco Schlenk Engineering College, Sivakasi, S Vigneshkumar ,   Department of Biotechnology, Mepco Schlenk Engineering College, Sivakasi
Published: January 2020

Biopolymer has full application as a drug carrier and scaffold in tissue engineering because of its biodegradability and non-toxicity. The present study is focused on novel biopolymer gellan gum as a drug delivery agent. The objective of the study is to synthesize the gellan gum nanoparticle by solvent evaporation emulsification method and characterize it using SEM, DLS, FTIR, and XRD. As pyridoxine is effectively used to treat diabetic peripheral neuropathy, it has been encapsulated with gellan gum and characterized. The antioxidant assay was performed using ABTS reagent, and the activity increases with increasing concentration of nanoparticle. Also, it has significant antimicrobial activity against gram-positive bacteria. Apart from this, the drug release kinetics of the gellan gum- pyridoxine nanoparticle was studied.
Polyherbal formulation for Kidney and Liver Protection
Authors:   Department of Biotechnology, Kalasalingam Academy of Research and Education, Krishnankoil, Tamilnadu, India., Kabilan S J , Baskar R ,   Department of Biotechnology, Kumaraguru College of Technology, Coimbatore, India., Poorani G ,   Department of Biotechnology, Kumaraguru College of Technology, Coimbatore, India
Published: January 2020

The objectives of the study were to assess the potential of herbal formulation made up of Wedeliachinensis leaves and Boerhaaviadiffusa roots in possessing activities like nephroprotectivity and hepatoprotectivity. Nephroprotective and hepatoprotective activity was evaluated using MTT cytotoxicity assay using mammalian cell culture. The results of the hepatoprotective and nephroprotective activities showed that the formulation mixture of herbs Wedeliachinensis and Boerhaaviadiffusa roots is an excellent source of organ stimulator with high therapeutical importance. The hepatoprotective and nephroprotective properties make this formulation a unique one focusing on liver and kidney diseases.
Synthesis and Density Functional Theory Studies of Novel Heterocycle Tethered with Pyrazole and Benzimidazole Structural Motifs
Authors:   Department of Chemistry, School of Advanced Sciences, Kalasalingam Academy of Research and Education (Deemed to be University), Krishnankoil, 626 126, Tamilnadu, India., Sivaramakarthikeyan Ramar , Padmavathy Krishnaraj ,   Department of Chemistry, School of Advanced Sciences, Kalasalingam Academy of Research and Education (Deemed to be University), Krishnankoil, 626 126, Tamilnadu, India., Iniyaval Shunmugam ,   Department of Chemistry, School of Advanced Sciences, Kalasalingam Academy of Research and Education (Deemed to be University), Krishnankoil, 626 126, Tamilnadu, India., Ramalingan Chennan ,   Department of Chemistry, School of Advanced Sciences, Kalasalingam Academy of Research and Education (Deemed to be University), Krishnankoil, 626 126, Tamilnadu, India.
Published: January 2020

A novel heterocyclic chemical entity, 2-(1H-benzo[d]imidazol-2-yl)-3-(3-(4-nitrophenyl)-1-phenyl-1H-pyrazol-4-yl)acrylonitrile) (1f) has been synthesized and characterized. Computational studies were carried out using Gaussian 9 program with DFT/B3LYP/6311(++G) basis set. The structural optimization was computed successfully. Further, HOMO–LUMO analysis promises the incidence of inter electron transfer within the molecule. The theoretically determined hyperpolarizability value is nearly 9.5 times better than standard urea, suggesting its future utility as an efficient NLO optic material or its utility as an effective intermediate to construct better NLO materials.
Novel Pyran Derivative Ornamented with free Amino and Nitrile Functionalities: Synthesis and Spectroscopic Characterization
Authors:   Department of Chemistry, School of Advanced Sciences, Kalasalingam Academy of Research and Education (Deemed to be University), Krishnankoil, 626 126, Tamilnadu, India., Kumar Chandran Udhaya , Sivaramakarthikeyan Ramar ,   Department of Chemistry, School of Advanced Sciences, Kalasalingam Academy of Research and Education (Deemed to be University), Krishnankoil, 626 126, Tamilnadu, India., Krishnan Kannan Gokula ,   Department of Chemistry, School of Advanced Sciences, Kalasalingam Academy of Research and Education (Deemed to be University), Krishnankoil, 626 126, Tamilnadu, India., Pillai Muthiah Pillai Velayutham ,   Department of Chemistry, School of Advanced Sciences, Kalasalingam Academy of Research and Education (Deemed to be University), Krishnankoil, 626 126, Tamilnadu, India., Ramalingan Chennan ,   Department of Chemistry, School of Advanced Sciences, Kalasalingam Academy of Research and Education (Deemed to be University), Krishnankoil, 626 126, Tamilnadu, India.
Published: January 2020

A novel 4H-pyran derivative tethered with free amino and nitrile groups (1) was synthesized from commercially available meta-bromobenzaldehyde, malononitrile and 2-(methacryloyloxy)ethyl 3-oxobutanoate by adopting a one-step three components reaction strategy. The structure of the synthesized 1 has been established based on physical and spectroscopic methods such as infrared, one dimensional proton and carbon nuclear magnetic resonance as well as two-dimensional HSQC and HMBC spectral techniques.