bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of Fly Ash and Fibres on Strength and Permeability Characteristics of Pervious Concrete
Authors:   Department of Civil Engineering, NIT Raipur, Raipur, India., Bano* Dr. Alfia , Shukla Abhiram ,   Department of Civil Engineering, NIT Raipur, Raipur, India., Kumar Chandrajyoti ,   Department of Civil Engineering, NIT Raipur, Raipur, India.
Published: December 2019

Conventional normal cement concrete is generally used as construction material of buildings. The impervious nature of concrete contributes to the increased water runoff into drainage system, over-burdening the infrastructure and causing excessive flooding in built-up areas. Pervious concrete has become significantly popular during recent decades, because of its potential contribution in solving environmental issues. Pervious concrete is a type of concrete with significantly high water permeability compared to conventional concrete. It has been mainly developed for draining water from surface to underground, so that storm water runoff is reduced. Due to high water permeability then normal concrete, pervious concrete has very low compressive strength. The characteristic of high permeability of pervious concrete contributes to its advantage in storm water management. However, the mechanical property such as low compressive strength limits the application of pervious concrete to the roads having light volume traffic. It is observed form previous studies that the strength of pervious concrete can be enhanced by substituting some of the cement with other materials, such as fly ash and fibres. The objective of present study was to make pervious concrete mix with high strength and pore properties by partial replacement of cement with fly ash and using steel and glass fibres. For this purpose cubes beams were casted with and without replacement of cement with flyash and addition of steel and glass fiber by total weight of concrete mix. Test such as compressive strength, flexural strength, total porosity and Infiltration rate were performed. It was observed addition of fly ash decreased the compressive as well as flexural strength of the pervious concrete. Further, incorporation of 1% steel fibres by weight of concrete mix was found adequate in achieving high strength and permeability, when compared to control mix concrete
Banking Technology and Service Quality: Evidence from Private Sector Banks in Kerala
Authors:   Assistant Professor, Department of Applied Economics, Cochin University of Science and Technology (CUSAT), Kochi, P. K.* Dr. Manoj , Joju Dr. Jacob ,   Post-Doctoral Fellow, Department of Applied Economics, Cochin University of Science and Technology (CUSAT), Kochi
Published: December 2019

Rapid strides in Information and Communication Technology (ICT), is fast penetrating into all aspects of commercial banking. On the one hand ICT enables the banks to provide their customers with ‘As you like it’ products. On the other hand customers are becoming discerning day by day. Banks vie with each other in providing newer products day by day on attractive terms and conditions. Switching costs being low it is difficult for banks to retain their customers. Customer service has become vital today, both for retaining the customers and for attracting new ones. In the aforesaid situation, this study attempts to analyze the significance of the five dimensions of the SERVQUAL model in providing products and services by banks, identify the dimension that most significantly influence the service quality, study as to how the service quality perceptions of males and females differ and also how perceptions differ across rural and urban customers. Using the outcomes of the analysis, suggestions are made to enable more effective delivery of banking services for enhanced customer satisfaction.
A Machine Learning Methodology for Classification of Movement Articulation For Robotics
Authors:   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India, Ra*o L.Jagajeevan , Madupu Ram kumar ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India,, Basha CMAK Zeelan ,   Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India,
Published: December 2019

Communication one another through target-arranged methodologies have been usually utilized in mechanical technology. Development of an automated arm can include focusing on by means of a forward or backwards kinematics way reach the target. We endeavored to change the assignment of controlling the controlling the motor to an AI approach. Though we have many machine learning approaches we implemented an online automated arm to separate verbalization datasets and have utilized BPNN and ANN methods to foresee multijoint explanation. For improving the accuracy,we created pick and spot assignments dependent on pre-stamped positions and removed preparing datasets which were then utilized for learning. We have utilized classification instead of prediction-correction approach which usually attempted in traditional robotics. This investigation reports noteworthy grouping precision and effectiveness on genuine and engineered datasets created by the gadget. The examination significant classification accuracy and efficiency BPNN and ANN calculations as alternatives for computational concentrated forecast remedy learning plans for articulator development in lab environments.
The Perceived Risk Factors of Fintech in Indonesia
Authors:   currently pursuing Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia, Fernando Erick , Kusumastuti Ratih ,   currently pursuing Accounting Departement, Business and Economics FacultyUniversity of Jambi, Kota Jambi, Jambi, Touriano Derist ,   currently pursuing Information Technology Department, Faculty of computer science and engineering, Adiwangsa Jambi University, Jambi
Published: December 2019

The objective of this study was to observe the factors causing the high perceived risk of using FinTech products or services in Indonesia based on four main dimensions of risk that have been developed [1]. Qualitative method is used to reveal the holistic symptoms of the main dimension of perceived risk and public accountant in 499 Public Accounting Firm in Indonesia as a research population, while sampling method using a convenience sampling method. The data analysis procedure uses the data quality test following a statistical description. The findings obtained from this study is that availability risk is a major factor underlying the high perceived risk of FinTech products or services in Indonesia.
Experimental and Analytical Behavior of Geopolymer Concrete Interior R.C. Beam Column Joint with Glass Fibres under Cyclic Loading
Authors:   Assistant professor, Department. of Civil Engineering, Sri Indu college of Engineering & Technology (Autonomous), Sheriguda, Ibrahimpatnam, Hyderabad, Krishna* Lenkala. , Buta Rena Dedefo ,   Lecturer, HOD, Department of Civil Engineering, Madda walabu University, Bale Robe, Ethiopia, Ayesha SK. B.B ,   Assistant professor, Department. of Civil Engineering, Sri Indu college of Engineering & Technology (Autonomous), Sheriguda, Ibrahimpatnam, Hyderabad, Jeylan Alo MuKtar ,   Lecturer, Department of Civil Engineering, Madda walabu University, Bale Robe, Ethiopia, Ranganath L. ,   Assistant professor . Dept. of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India
Published: December 2019

The beam column joint is the most crucial zone in a fortified solid minute opposing edge. Its principle work is to empower the bordering individuals to create and manage their definitive quality. Under seismic stacking, the shot of shear disappointment which is weak in nature is high and isn't adequate. In this way, the plan and specifying ought to be done appropriately to oppose these seismic burdens. Considering the natural impacts delivered by bond, a compelling option named geo-polymer concrete integrated from side-effects of steel and warm power plants, is in effect broadly utilized and furthermore have indicated demonstrated enhanced after effects of increment in quality properties like compressive, split elasticity and flexural quality of basic individuals as indicated by late investigations. This paper presents conduct of geo-polymer solid inside pillar segment joint fortified with glass filaments which when consistently circulated over its whole mass, gets reinforced tremendously, along these lines rendering the framework to carry on as a composite material with properties altogether unique in relation to regular cement is tried tentatively under cyclic stacking and is thought about systematically utilizing ANSYS.
Guerrilla Marketing
Authors:   School of Management, Hindustan Institute of Technology and Science, Chennai, Tamilnadu,, Lakshmi Dr.S. , Geevarghese  ,   Professor & Research Supervisor, School of Management, Hindustan Institute of Technology and Science, Chennai, Tamilnadu.
Published: December 2019

In Today’s World It’s Become Very Difficult For The Companies To Differentiate Their Marketing From The Existing Practice. One Method For Doing This Is To Promote The Guerrilla Marketing. It Is An Imaginative, Outrageous And Eye Catching One Than Conventional Type Of Advertising. The Purpose Of This Article Is To Focus On How The Use Of Guerilla Marketing Affects Consumer Behaviour In Terms Of Emotion, Excitement, Anticipation, Temptation And Aggressive And Purchase Decision. Guerilla Marketing Is More Innovative And Credible Than Traditional Marketing. It Has Great Impact On Brand Image, Brand Association And Purchase Decision. Company Use This Guerilla Marketing As A Surprise Strategy To Promote A Product Or Service. Traditional Media Like Print, Television, Posters And Notice Lose Popularity Among The Consumers, Company Try To Adopt New Technology By Following Various Channels Like Face Book, Instagram, Twitter And Youtube To Make A Good Impression About The Product Or Brand. To Be Successful, Companies Don’t Need To Spend Huge Money, They Just Think In A Different Way To Create A Memorable Experience.
Seismic Isolation System using U-Shaped Steel Damper
Authors:   M-Tech Scholar, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad., Sravya* G. Jyothi Sri , Manchalwar Atulkumar ,   Associate Professor, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad.
Published: December 2019

In the present paper base isolation system is analyzed and its seismic behavior is investigated using U-shaped steel dampers as an isolator by placing it at the bottom of the structure. It is the most popular way of protecting the structure using control techniques for earthquake ground motion. The dampers significantly reduced damage factors such as displacement and drift. To reduce structural response to external forces, which can be accomplished through the use of special protective systems. So to prevent these damages, seismic isolation technique can be used for newly constructed structures. The time history analysis of the time domain on this structure is conducted by using SAP2000 software.
Indian Banking Sector a Major Contributor to Economy: Constancy Major Concern
Authors:   Principal (OSD), Sri Aurobindo College (E), University of Delhi, India, Rajput Dr Namita , Goyal* Anil Kumar ,   Professor, Rukmini Devi Institute of Advanced Studies, New Delhi, India
Published: December 2019

Due to an intermediary role of banks in the economy, they hold a unique locus across all sectors with prudent lending policies, environmental impact analysis, and efficient credit approval systems. The banks play a vital role in the lending process which is dispatched along with the credit risk, that is, when the borrower fails to repay the money borrowed and fails to satisfy the obligations, then the asset is said to be bad or Non-performing. A poor financial performance in an economy creates a distress in the economic stability leading to an economic crisis. The banking stability has a direct impact on the real output and employability which revolves around the financial stability of an economy. With the global initiatives undertaken, the Reserve Bank of India (RBI) developed Banking Stability Map and published the Financial Stability Report in 2010. It is measured using five dimensions of Stability Map, which are, Soundness(s), Asset Quality (Q), Profitability (P), Liquidity (L) and Efficiency (E).With the upsurge in the deteriorating asset quality and the financial health of banking institutions, lack of adequate fund and pressure of capital regulation makes the balance of stability in the Indian banking sector a challenge. The main objective of the study is to conduct a comprehensive review of all the possible dimensions of financial stability in the country across the Public Sector, Private Sector and Foreign Banks through Statistical tools from a time period of 13 years from 2005-2018. The statistical data and figures will be beneficial for the upcoming researchers and policymakers, as it displays an overview of the banking stability across the three main tiers of the banking world.
Internet of Vehicles for Traffic Management
Authors:   ECE department, Dr K V Subba Reddy Engineering College for Women, Affiliated to JNTUA University, Kurnool,Andhra Pradesh, India., Kumar* N Vinod , Babu K Prasad ,   ECE department, Dr K V Subba Reddy Engineering College for Women, Affiliated to JNTUA University, Kurnool,Andhra Pradesh, India., Kumar V Sundara Siva ,   ECE department, Dr K V Subba Reddy Engineering College for Women, Affiliated to JNTUA University, Kurnool,Andhra Pradesh, India., Ahmed Syed Feroz Shah ,   ECE department, Dr K V Subba Reddy Engineering College for Women, Affiliated to JNTUA University, Kurnool,Andhra Pradesh, India., Basha Syed Ahmed ,   ECE department, St.Johns College of Engineering & Technology, Affiliated to JNTUA University, Kurnool,Andhra Pradesh, India.
Published: December 2019

Todays world is currently using Internet- of- Things (IOT) as a Digitization towards next era. Internet-of -Things (IoT) is a world-wide network connecting all the smart objects together When-ever those smart things being connected over internet are restricted to only vehicles, then it is called as Internet of Vehicles (IOV). It is consistently increasing urban population and rapidly smart cities, vehicle ownership has been increasing at an exponential rate. Hence, traffic management has become a great problem in our day toady life. This paper focusing on traffic issues our daily life. The internet is today’s world is a global phenomenon. The monitoring of net based vehicular system will be prominent solution using Speed Trackers, CCTV cameras. It is logical but that the monitoring of pollution checks and emergency response speed to road accidents. IOV is the platform where communication is established between the vehicular system and human.
Sensor Fusion based Polygon shaped Obstacle Avoidance using FPGA
Authors:   Ph.D, KL University, vijayawada , Andhrapradesh , India., Vennela* Kishore , Malladi Rishi ,   Bachelor of Technology, Electronics and Communication Engineering , B. V Raju Institute of Technology, Narasapur, Telangana, India, Vamsi M ,   Bachelor of Technology in Electronics and Communication Engineering at B. V Raju Institute of Technology, Narsapur, Telangana, India, Sowjanyasree M ,   Bachelor of Technology in Electronics and Communication Engineering at B. V Raju Institute of Technology, Narsapur, Telangana, India
Published: December 2019

Obstacle avoidance in robotics is a very vital and important aspect. Many techniques developed over the years to perform obstacle avoidance. With the advent of cutting-edge technologies, it has become more prominent in the field of robotics. While there exist algorithms and models that perform obstacle avoidance, this project is to implement obstacle avoidance with minimal deviation from the original path. The intention is to do this task by applying a concept called sensor-fusion. Sensor fusion techniques have been making rounds among the scientific community over the years. Many scholars and researchers have incorporated many algorithms associated with sensor fusion in their respective works. There are algorithms associated with Artificial Neural Networks (ANN) and fuzzy logic systems. The nature of obstacles in these works have remained uncertain in most of the cases except for curvature obstacles that uses algorithms like the bug algorithm to traverse along the curvature obstacle. This paper in contrast, defines the nature of the obstacle viz. Polygonal obstacles that considered in this work. The proposed work keen about algorithm developed on the platform of FPGA Artix-7 family (XC7A35T-1CPG236C).
Development of the Strategy to Control the Enterprise Tax Risks
Authors:   Department of Tax Policy and Customs Tariff Regulation, Financial University under the Government of the Russian Federation, Moscow, Russia., Nazarova* Natalia , Borisov Oleg ,   Department of Tax Policy and Customs Tariff Regulation, Financial University under the Government of the Russian Federation, Moscow, Russia, Kozharinov Alexander ,   Department of Tax Policy and Customs Tariff Regulation, Financial University under the Government of the Russian Federation, Moscow, Russia., Zinisha Olga ,   Department of Cash circulation and credit, Kuban state technological University, Krasnodar, Russian., Avdeeva Rosa ,   Department of Cash circulation and credit, Kuban state technological University, Krasnodar, Russian.
Published: December 2019

In the rapidly changing economic and legal conditions, constant attention must be paid to identifying and assessing risks, as well as managing tax risks. The use of performance indicators is carried out through continuous monitoring of key risk indicators, which allow you to identify negative events in the early stages and take timely measures to reduce risks. Recently, there has been a trend in the relationship between the functions of tax risk management and monitoring compliance with current legislation. This leads to the fact that the discussion of one of these functions inevitably affects the other. Strengthening the requirements of the law, toughening the responsibility for their non-compliance with this risk of damage to the reputation of the organization. Many organizations continue to focus on top management and tax risk management. Achieving the goals of the organization requires specific ideas about the main activity of the organization, as well as the study of the main types of risks. The process in which the activities of an organization are directed and coordinated in terms of the effectiveness of risk management and is risk management. The application of the risk management system in the organization allows to increase the effectiveness of the organization, namely, to maximize profits due to the reasonable adoption and management of risks, meet leading industry practices, the expectations of counterparties and investors, increase planning efficiency, ensure the predictability of financial results, increase the stability of operating indicators for account of the implementation of the monitoring system.
Model Development to Ensuring the Enterprise Financial Security
Authors:   Department of Finance and Credit, Voronezh State Agrarian University named after Emperor Peter the Great, Voronezh, Russia., Agibalov* Alexandr , Zaporozhtseva Lyudmila ,   Department of Finance and Credit, Voronezh State Agrarian University named after Emperor Peter the Great, Voronezh, Russia., Malitskaya Victoria ,   Accounting and Taxation Department, Plekhanov Russian University of Economics, Moscow, Russia., Chirkova Maria ,   Accounting and Audit Department, Voronezh State Agrarian University named after Emperor Peter the Great, Voronezh, Russia, Gorlova Natalia ,   Accounting and Audit Department, Voronezh State Agrarian University named after Emperor Peter the Great, Voronezh, Russia
Published: December 2019

In modern economic conditions, it is necessary for each organization to create a model of ensuring financial security that would be resistant to financial risks and actively stimulate the socio-economic development of an economic entity. The financial security of an enterprise is a complex, multifaceted concept that depends on many factors that arise both within the enterprise and beyond. That is why the financial security of enterprises is of great importance in ensuring the stability of the national economy and the need for an integrated method to financial security management, taking into account current business trends. The systematization and improvement of methodological to assess the financial security of commercial organizations is relevant and necessary. The article explores ways to assess the financial security of an organization and presents an innovative method that allows, based on the integrated indicator, to monitor changes in the level of financial security in dynamics.
Enhanced Classification of Service Usages with Human Trajectory Data for Location Recommendation Systems
Authors:   Ph.D., in Computer Science at Bharathiar University, Coimbatore, B* Suryakumar , E Ramadevi ,   Associate Professor in Computer science at NGM College, Pollachi, India
Published: December 2019

The rapid growth of mobile messaging apps has led to an important process to manage social networks based on the localization of internet traffic in different types of use of in-app services. In the past researches, Improved Multi-Context Trajectory Embedding Model with Service Usage Classification Method (IMC-TEM-SUCM) has been proposed to recommend the locations based on the trajectory data of individuals and their service usage types. In this model, the traffic features were classified by using Random Forest (RF) classifier whereas the outlier was detected by clustering Hidden Markov Model (HMM). However, the RF was supervised classifier which requires knowledge about the class label of data. Also, a huge amount of data was needed to train a clustering HMM. Therefore, in this article, an IMC-TEM with Enhanced SUCM (IMC-TEM-ESUCM) is proposed in which an unsupervised classifier, namely K-means clustering is proposed to classify the service usage types. Initially, traffic flows are split into different sessions and dialogs using a combined hierarchical clustering and thresholding heuristics technique. Then, the traffic features are extracted based on the packet length and time delay. After that, K-means classification is proposed to classify the service usage types and also DBSCAN is proposed to detect the outliers. Finally, the experimental results on two different datasets show that the proposed model achieves higher performance than the existing model in terms of precision, recall, f-measure and accuracy.
Understanding the Customers Portfolio towards Smart watch and Intension to Recommend Ambient Technology
Authors:   School of Computer Science and Engineering, VIT, Vellore, Tamilnadu, India., Kiruba B* Gladys Gnana , Acharjya* D. P. ,   School of Computer Science and Engineering, VIT, Vellore, Tamilnadu, India.
Published: December 2019

Smart watch is the new generation watches which provide new assistants in the ambient environment. The new hardware technology of smart watch adds up with sensors and internet affords a high human computer interaction all through 24×7 of a person. In order to understand the satisfaction of smart watch users, it is highly necessary to master the technologies behind it. This paper uses the rough set rule generation technique to analyze the customer satisfaction by adopting the various demographics and key features of smart watch there by understanding the importance of ambient technology.
Prediction of Bipolar Disorder with Voice Analysis using Machine Learning Techniques
Authors:   Dept of Computer Science Engineering, Koneru Lakshmaiah Education Foundation, Guntur, India., Roy* K. Samantha , Sai Nerella Ganesh Naga ,   Dept of Computer Science Engineering, Koneru Lakshmaiah Education Foundation, Guntur, India, Reddy K. Naga Yaswanth ,   Dept of Computer Science Engineering, Koneru Lakshmaiah Education Foundation, Guntur, India., Kuchibhotla Swarna ,   Assoc Professor, Dept of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation,Guntur, India, Josephine B.Manjula ,   Assitant Professor, Dept of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur , India.
Published: December 2019

The change in the speech is the responsive and well-founded measure of the depression and obsession of the bipolar disorder. This analysis mainly focuses on perceiving the voice attributes and phone calls data is collected as it acts as a main search-space maker for bipolar clutters. By combining the voice features with the phone call data based on their behavioral activities, self- monitoring data control and illness activities the accuracy would increase to effective states. The voice attributes and smartphones collect the activities of sample phone data and self-monitoring data. These activities are the root cause of the expansion of two symptoms: depression and obsession. These symptoms were introduced by a researcher who was rendered with smartphones. The phone call data were examined through a statistical random forest algorithm. The states were extracted from daily phone calls and are classified using voice attributes. These attributes are more determined and accurate to classify the maniac states. The main subject in comparing the voice attributes and self-observed data with the behavioral activities of phone call data is that these attributes increase the efficiency, vulnerability, and definiteness of classifying the affective states. The techniques used to detect the voice features are support vector machine (SVM) random forest. the proposed system will enhance the performance of the prediction of all the techniques. By comparing all these techniques by finding the accuracy of each technique we can know which technique predicts more accurately.
Performance Efficient Alu using Finfet
Authors:   Department of ECE , R.M.K. Engineering College Chennai, India, Jothi* D. , Priyanka L. ,   Project Associate , Cognizant Technology Solutions Chennai, India, Nandhini I. ,   Programmer Aanalyst , Cognizant Technology Solutions, Chennai, India
Published: December 2019

According to the prophecy of Moore, the concentration of transistors in an integrated circuit doubles every two years. But this is limited by the technologies used in the fabrication of integrated circuits, as the systems are scaled down. FinFET technology aims to combat this challenge. The construction of power efficient high speed Arithmetic & Logical Unit (ALU) using FinFET technology is proposed in this paper. Proposed FinFET based ALU is designed with arithmetic functions like high speed addition, multiplication and logical functions such as AND and XOR. Simulation results of the proposed power efficient high speed FinFET ALU proves to be better with a power saving of 80.5%. FinFET has the advantage of providing low power without compromising on the Performance. The power analysis for ALU is done using CADENCE-VIRTUOSO, which is known for its accuracy.
Design and Analysis of Double Bobble Cross Section Fuselage Micro-Class Aircraft
Authors:   Professor, Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India,, Gupta* M.Satyanarayana , Veeranjaneyulu K. ,   Professor, Department of Aeronautical Engineering MLR Institute of technology, Hyderabad, India, Bala MNVS Swetha ,   Associate Professor, Department ofAeronautical Engineering, MLR Institute of technology, Hyderabad, India,
Published: December 2019

The applications of micro-class aircraft is increasing day by day and all industrial community which depending on mobility and surveillance are accepting this type of aircrafts. The main objective of this work is to design and fabricate an aircraft that is capable to carry the highest payload fraction possible with lowest empty weight fraction which all industries required today. Bobble Cross Section Fuselage Micro-Class Aircraft carriers more pay load with maximum lift, minimum airplane weight and drag.
Iot Based Water Quality Monitoring System using Machine Learning
Authors:   Assistant Professor, Department of CSE, Easwari Engineering College, Chennai, India., Baskaran* P. , Pandian D.Selva ,   Assistant Professor, Department of CSE, Karpagam Academy of Higher Education, Coimbatore, India., Immanuel. D Dr.Jebakumar ,   Assistant Professor, Department of CSE, SNS College of Engineering, Coimbatore, India., Bhavadharini Dr.R.M. ,   Associate Professor, Department of CSE, Easwari Engineering College, Chennai, India.
Published: December 2019

In the present occasions, because of urbanization and contamination, it has gotten important to screen and assess the nature of water arriving at our homes. Guaranteeing safe inventory of drinking water has become a major test for the cutting edge progress. In this desk work, we present a structure and improvement of a minimal effort framework for continuous checking of the water quality (WQ) in IoT (web of things). The framework comprise of a few sensors are accustomed to guesstimatingsomatic and element limitations of the water. The parameters like temperature, PH, turbidity, conductivity, broke up oxygen of the water can be estimated. The deliberate qualities from the sensors can be prepared by the center controller. The RBPI B+ (RBPI) model can be consumed as a center controller. At last, the instrument facts can be understood on web utilizing distributed computing. Here the information's are handled utilizing AI calculation it sense the water condition if the WQis great it open the entryway divider else it shuts the door divider. This whole procedure happens naturally without human mediation therefore spare an opportunity to contract with the circumstance physically. The uniqueness of our proposed research is to get the water observing framework with high recurrence, high portability, and low controlled.
Intelligent Content Conciser using Pointer Generated Network
Authors:   Assistant Professor, CSE Department, Easwari Engineering College, Chennai, Tamil Nadu., Devi S Kalpana , R Nithya ,   CSE Department, Easwari Engineering College, Chennai, Tamil Nadu., B Oviyaa ,   CSE Department, Easwari Engineering College, Chennai, Tamil Nadu., G Sandhya ,   CSE Department, Easwari Engineering College, Chennai, Tamil Nadu.
Published: December 2019

The combination of best suited architecture and successful algorithm results in the increased nature of efficient learning among the end users. To increase the number of quality learner’s text summarization provides the best initiative among the readers and learners. As words and sentences comprise a document, document summarization finds diverse words with different sets of synonyms by performing training activity for the process. The S2S(Sequence to Sequence) training mechanism describes the embedding way of sentences and documents. The pointer generation enhances the new hybrid model for summary extraction. The proposed model implements attention mechanism and uses Recurrent Neural Network with LSTM cells at encoder and decoder. The working model focuses on many factors for summary extraction such as sentence/document similarity, repeatedness, indexing and sentence-context richness. It also keeps track of summarized text using coverage to avoid repetition.
M-Commerce for Agriculture Commodities using Android Application
Authors:   Assistant Professor, Department of Computer Science and Engineering, Easwari Engineering College, Chennai-600089 , Tamil Nadu, India., Poorni* Ms. R. , Kumari Dr. V. Sai ,   Professor, Department of Management Studies, Easwari Engineering College, Chennai-600089, Tamil Nadu, India., Sunitha Mrs. V. ,   Assistant Professor, Department of Management Studies, Easwari Engineering College, Chennai-600089, Tamil Nadu, India., Bhuvaneswari Ms. S. ,   Assistant Professor, Department of Computer Science and Engineering, Easwari Engineering College, Chennai-600089, Tamil Nadu, India.
Published: December 2019

Agriculture is the art of cultivation on soil. Agriculture acts as the evolution in the rise of human civilization, whereby farming local species created food supplies that enabled people to live in cities. E-agriculture is recent term in the field of agriculture and rural development practices. It is the global body of practice where people exchange information and ideas related to the Information and Communication Technologies (ICT). The issue faced by the farmers in today’s world is that they are not getting enough credits for their own crops. The middleman takes all credits in between the communication. Here, we develop a mobile app that establishes direct communication in between the merchant and the farmer with no middleman in act.
Enhance the Security and Improve the Performance of Web Crawlers using Web Crawling Algorithms
Authors:   Research Scholar, School of Computer and System Sciences, Jaipur National Univetsiry, Jaipur, India, Shrivastava* Vandana
Published: December 2019

World Wide Web (WWW) is a massive resource of information that contains data in zeta bytes. Large number of users surfing Internet for various purposes need a quick response from web. Search engines are preferable, easily available and reliable source to retrieve data very rapidly with minimum resources. Search engine uses Web Crawler to search abundant data from web. It is a program that automatically passes through hypertext structure of the web and access webpage and hyperlink within it. Web crawling is a technique that focuses on obtaining relevant and fruitful links. To make the traversing accurate and productive, a properly designed web crawling algorithm is required. Web crawler and crawling techniques are kept secret as it is a hidden formula for the success of any search engine. In this paper, we have presented various web crawling algorithms along with their pros and cons to be utilized towards web search. Also we have proposed a novel web crawling algorithm to enhance the security and improving the performance of web crawler using single threaded and multi-threaded crawling algorithms.
MRR - Performance on EDM Drilling over Nano Composite Material
Authors:   Mechanical Engg Dept, Rajalakshmi Engineering College, Thandalam, Chennia- Tamil Nadu, India, Dhandapani* S. , Rajmohan T. ,   Mechanical Engg Dept Faculty of Engg & Tech, SCSVMV University,Kanchipuram,TN,India, Kumar D. ,   Mechanical Engg Dept, Arjun Colege of Engg & Technology, Coimbatore,TN,India.
Published: December 2019

Now a day’s more research works are going on performance of MRR on various operations with respect to EDM machining. This research paper is to focus the same on parameters base with Performance measure of Material Removal Rate (MRR) in composite Material (Aluminum, Boron Carbide and Multi Wall Carbon NanoTubes (MWCNT) .The machine used for this research is Sink EDM with drilling operation. .Lots of statistical techniques are available to predict the accurate and reliable result form the research data. Here the Minitab 16 software is used to analyze the MRR performance. The input parameters selected for the EDM machine are: Pulse on time, pulse off time and voltage. The results were compared with the DOE-Taguchi approach (L9) Orthogonal array - result. [1] .Material Removal Rate was studied along with S/N ratio of Main effect plot, Means and Interaction Plot.[2] From software the main effect plots, residual plots, S/N ratio interaction plots and means was obtained The rapid increase with pulse on for MRR is resulted due to addition of nano powder and linearly increase with peak current. The optimal parameters combination was determined as CNT (1%), Pulse on (10 μs), Pulse off (2.5 μs) and Peak Current (50A) i.e. 1 4 4 2. The experimental results were checked with predicted results and a positive agreement was found. Comparing old studies the optimization values found by this experiment results with more MRR.
Throughput of Multicast Source Routing in Adhoc Network
Authors:   ECE, Samskruti College of engineering, Hyderabad, Telangana, India., Vanisree* K. , Reddy Dr. V.S.K. ,   Principal, Malla Reddy College of Engineering &Technology, Hyderabad, Telangana, India.
Published: December 2019

The wireless ‘Ado Network ‘is referred as without any specific infrastructure mobile network. The randomly selected nodes are moves freely and communicate directly to end users with no hierarchical structure. In this network, all nodes are receiving the transmitted information in multicast nature and used Omni directional antennas. In multicasting source node sends the copies of the information to all receiver nodes. Movements of nodes can be described by using mobility model, and it is characterized by location, velocity, and direction over a period of time The proposed new routing algorithm, named “Multicast Proactive Source Routing O-CORMAN”. This paper discussed routing; evaluate the efficient throughput, Total transmission Power and also Normalized Over-head, compared with unicast type. The proposed new protocol performance is analyzed using the ns-2.32 network simulator.
Noun Identification for Tamil Language using Morphophonemic Rules
Authors:   PG & Research Department of Computer Science, Dr. Ambedkar Govt. Arts College(Autonomous), Affiliated to University of Madras, Chennai, Tamil Nadu, India., Evangeline* M. Mercy , Shyamala Dr. K. ,   Associate Professor, PG & Research Department of Computer Science, Dr.Ambedkar Govt. Arts College (Autonomous), Affiliated to University of Madras, Chennai, Tamil Nadu, India.
Published: December 2019

In any language, words are considered as the basic or the smallest element with a distinctive meaning. Words can be categorized into several types, depending upon their use and functions. Basically how a word changes its form to express itself in grammatical notation defines its type. The process of categorizing a word to a particular type depending upon its grammatical notation is termed as Part of Speech tagging. In this paper, an attempt has been made to identify part of speech tagging for words in Tamil language, particular to noun inflections. An algorithm has been proposed for Noun Identification for Tamil Language using Morphophonemic Rules (NIMR). A Rule based suffix stripping approach has been adopted for this implementation. The approach proposed here identifies the root word by applying various morphophonemic rules particular to suffixes. It removes the various inflections based on the set of grammatical rules available for Tamil Language and tags the word identified as a Noun. It is proposed to explore the traditional way of categorizing words in Tamil language, avoiding the influence of English grammars.
Experimental Work of the Hydraulic Equipment of the Multi-Purpose Machine Mm-1
Authors:   Department of Allied Mechanics, Assistant Professor, The Tashkent institute of projection, building and maintenance of automobile roads, Tashkent, Uzbekistan, Uzbekistan., Rustamov* K.J.
Published: December 2019

The purpose of the tests was to verify the theoretical studies performed, as well as to confirm the functionality of the developed multi-purpose machine with excavation and bulldozer equipment. Mounting on the basis of TTZ-80 working equipment allowed us to conduct experimental studies, with the determination of energy performance indicators during the most energy-intensive operation - digging and leveling the soil.
Privacy Preserving with Association Rule Mining using Evolutionary Algorithm
Authors:   Department of Computer Science and Engineering, GMR Institute of Technology, Rajam, Andhra Pradesh, India, Gantayat* Sasanko Sekhar , Patra* Bichitrananda ,   Department of Computer Science and Engineering, Siksha O Anusandhan (Deemed to be) University, Bhubaneswar, Odisha, India,, Panda Niranjan ,   Department of Computer Science and Engineering, Siksha O Anusandhan (Deemed to be) University, Bhubaneswar, Odisha, India,, Parhi Manoranjan ,   Department of Computer Science and Engineering, Siksha O Anusandhan (Deemed to be) University, Bhubaneswar, Odisha, India,
Published: December 2019

Privacy-Preserving-Data-Mining (PPDM) is a novel study which goals to protect the secretive evidence also circumvent the revelation of the evidence through the records reproducing progression. This paper focused on the privacy preserving on vertical separated databases. The designed methodology for the subcontracted databases allows multiple data viewers besides vendors proficiently to their records securely without conceding the secrecy of the data. Privacy Preserving Association Rule-Mining (PPARM) is one method, which objects to pelt sensitivity of the association imperative. A new efficient approach lives the benefit since the strange optimizations algorithms for the delicate association rule hiding. It is required to get leak less information of the raw data. The evaluation of the efficient of the proposed method can be conducting on some experiments on different databases. Based on the above optimization algorithm, the modified algorithm is to optimize the association rules on vertically and horizontally separated database and studied their performance.
Identification of Least Risk Path using GA-SVM for the Software Project Management
Authors:   Research Scholar Department of Computer Science and Engineering. Dr. M.G.R. Educational and Research Institute,Chennai 600095, Tamil Nadu, India., Singh* K Amandeep , Ananthan T. V. ,   Professor, Department of Computer Science and Engineering. Dr. M.G.R. Educational and Research Institute, Chennai 600095, Tamil Nadu, India.
Published: December 2019

Risk management is an important part of the development cycles for high quality applications. Most specific threats are incidents that may adversely affect the plan or organizational climate growth. The major risk factors contains time, budget and resources can affect adversely by events. Important considerations such as plan, time and cost are generally impacted. Essentially, risk assessment includes recognizing, assessing, preparing and monitoring incidents that affect the atmosphere of the project. Risk is the danger of volatility, lack of knowledge regarding events, activities and lack of appropriate technologies for managing measures and activities. Therefore, both exogenous and endogenous influences contribute in the venture risks and uncertainties. The high task failure rates due to poor planning of project which can limit the teams and future wealth creation, while project managers should allow for the plan being to anticipate potential risks when preparing their project achievements based on their own past experiences. This paper addresses the Supervised Learning mechanism with multi-label Support Vector Classifier (SVC) to predict the project risks and apply Genetic algorithm for providing avoidance action as recommendation.
High Density Impulse Noise Removal using Advanced Median Filter for Preserving Image Quality Metrics
Authors:   Department of Electronics and Communication Engineering, Rajalakshmi Institute of Technology, Chennai, India., U* Maheswaran , M Vengadapathiraj ,   Department of Electronics and Communication Engineering, Rajalakshmi Institute of Technology, Chennai, India., B Manimaran ,   Department of Electrical and Electronics Engineering, Rajalakshmi Institute of Technology, Chennai, India., Jayashree R Aruna ,   Department of Electronics and Communication Engineering, Rajalakshmi Institute of Technology, Chennai, India.
Published: December 2019

In this work, a procedure to remove the high density salt and pepper noise from a corrupted image is developed and to compare the output image with the original image through the image quality metrics. As a common practice the corrupted pixels are replaced by the median of neighboring pixel values by considering a constant number of neighboring pixels. But in this proposed method the corrupted pixels are identified and are replaced by the median of the neighboring pixel values which are adjustable, to preserve and improve the image quality metrics. This method makes a comparison between the corrupted and uncorrupted pixels and performs the median filtering process only on the corrupted ones. In this work a 3x3, 5x5 and 7x7 square neighborhood are used. The output images are observed with low neighborhood as well as high neighborhood pixel values. The calculation of PSNR (Peak Signal to Noise Ratio) and MSE (Mean square error) value for each dimension with different percentages are considered for the comparative analysis.
Open Education Resource for School Children with Down Syndrome
Authors:   Computer Science Engineering, Vellore Institute of Technology, Vellore, India., Pragna* Kotur Guna , Dhanunjai Dindi ,   Computer Science Engineering, Vellore Institute of Technology, Vellore, India.
Published: December 2019

Action recognition in video sequences is a challenging problem of computer vision due to the similarity of visual contents, changes in the viewpoint for the same actions, camera motion with action performer, scale and pose of an actor, and different illumination conditions. Also, there is no designated action recognition model for hazy videos. This model proposes a novel unified and unique model for action recognition in haze built with Convolutional Neural Network (CNN) and deep bidirectional LSTM (DB-LSTM) network. First, every frame of the hazy video is feed into the AOD-Net (All-in-One Dehazing Network). Next, deep features are extracted from every sampled dehazed frame by using VGG-16, which helps reduce the redundancy and complexity. Later, the sequential and temporal information among frame features is learnt using DB-LSTM network, where multiple layers are stacked together in both the forward and backward passes of DB-LSTM to increase its depth. The proposed unified method is capable of learning long term sequences and can process lengthy videos (even hazy videos) in real time by analyzing features for a certain time interval. Experimental results on both synthesized and natural video datasets show decent results on par with other state of the art methods in action recognition using the proposed method on the benchmark data set UCF-101. This helps the Down Syndrome Students to recognize an action faster.