bluuebunny/crossref_metadata_2025 huggingface dataset:
Transforming Teacher Education in India: Ten New Roles for Departments of Education in Universities
Authors: Kumar Misra Pradeep
Published: June 2020

The Departments of Education in Universities mainly focus on running pre-service and in-service teacher education programs and facilitating educationally relevant researches. Upcoming the National Education Policy of India expects from the Departments of Education in Universities to play a significant role in transforming teacher education. To fulfill, l this mandate, Departments of Education are expected to look beyond their routine activities and envision new roles for moving their boundaries. Extending this argument, the present paper suggests ten new roles for consideration of the Departments of Education. The suggested roles are: (i) offer professional development support to teacher educators, (ii) run academic clubs for teacher educators to share and connect, (iii) help teacher educators to become a good researcher, (iv) promote ICT usage among teacher educators, (v) compile and use best practices in teacher preparation, (vi) cultivate University-School partnerships, (vii) initiate teacher-trainee exchange programs, (viii) start Diploma programs to train School Principals/Leaders, (ix) conduct more researches on teacher education issues, and (xi) hold hands of beginning teachers.
Discursive Strategies and Speech Acts in Political Discourse of Najib and Modi
Authors: Ramanathan Renugah , Paramasivam Shamala , Bee Hoon Tan
Published: June 2020

Election campaigns are constantly regarded as a persuasive campaign to convince the nation to vote for the leader of a country. Being said such, this study investigates the discourse of twitter of two political premiers in Asia: Former Prime Minister of Malaysia, Najib Tun Razak (henceforth, Najib) and Prime Minister Narendra Modi (henceforth, Modi), in the aspects of discursive strategies and speech acts during election campaigns. The discourse of Najib and Modi are selected due to their active participation on Twitter throughout election campaigns. The data were collected over 3 months throughout the national elections of both the countries, which were from February to April 2013 in Malaysia and January to March 2014 in India. This qualitative study employs Wodak’s discursive strategies to analyze the lexical choices utilized in the election tweets and Searle’s speech act taxonomy to analyze the speech acts used. The presence of two major speech acts was highlighted during the elections: commissives and directives. These two speech acts collaborated under the hood of discursive strategies of predication and perspectivation that empowered Najib and Modi to establish a strong contact with citizens while creating a sense of integrity and oneness. This study is significant as it creates political and language awareness to citizens by denoting how political figures establish power through mutual consent with citizens using Twitter. Furthermore, this study enlightens citizens on how the 140-character tool can influence the political decisionmaking of a community.
Design of Effective Tunnel Ventilation System using Computational Fluid Dynamics
Authors:   School of Mechanical Engineering, Vellore Institute of Technology, Chennai, Tamilnadu-600127, India., Mason Ashley.A. , Sairam M. ,   School of Mechanical Engineering ,Vellore Institute of Technology, Chennai, Tamilnadu-600127, India., Vettikattil Jacob J. ,   School of Mechanical Engineering, Vellore Institute of Technology, Chennai, Tamilnadu-600127, India., Murthy R. ,   School of Mechanical Engineering, Vellore Institute of Technology, Chennai, Tamilnadu-600127, India., Harish* R. ,   School of Mechanical Engineering, Vellore Institute of Technology, Chennai, Tamilnadu-600127, India..
Published: June 2020

A realistic model of a naturally ventilated tunnel with side ducts is analyzed by Computational Fluid Dynamics. This study accounts for the different temperatures of heat sources and the different domains as the phenomenon of smoke marching in the longitudinal direction is captured. The study accounts the domain to be air domain, and then CO domain. The effect of varying the heat intensity with the marching of smoke is analyzed in the research. Critical parameters like air flow direction and velocity of smoke are taken into account. The paper mainly focuses on temperature distribution, modelling the problem as a convection problem.
Marketing Commodities Between the Producer and the Consumer
Authors:   Associate Professor, Department of Information Technology,R.M.D Engineering College,Thiruvallur,, Tamilnadu, India., Srinivasan Dr. V.Prasanna , Madhumitha S. ,   Currently pursuing a bachelor’s degree in the stream Information Technology at R.M.D Engineering College,Thiruvallur,,Tamilnadu,India, Nithisha R. ,   Currently pursuing a bachelor’s degree in the stream Information Technology at R.M.D Engineering College,Thiruvallur,,Tamilnadu,India, Vaisali J. ,   Currently pursuing a bachelor’s degree in the stream Information Technology at R.M.D Engineering College,Thiruvallur,,Tamilnadu,India, Yogalakshmi S. ,   Currently pursuing a bachelor’s degree in the stream Information Technology at R.M.D Engineering College,Thiruvallur,,Tamilnadu,India
Published: June 2020

Agriculture serves the major role in economic development of a country. It plays a major task in providing adequate food supplies for mankind. In order to provide this task the economy of the farmers has to be increased. Agriculture marketing is one of the best ways to accomplish the task. It involves the purchasing of agricultural products directly from farmers. Some farmers are unaware about the commodity prices and sell their products at low prices to the third party, resulting in huge loss for the farmers. To overcome this situation, an android application and website for agricultural marketing that provides better knowledge about the commodity prices and booking of vehicles for transportation, government schemes available in current days to farmers. It provides the path to find the buyers and the sellers. It also helps the farmers to choose the best location to buy and sell the products.
Determinants of University Student’s Work Readiness
Authors:   Assistant Professor, Universitas Negeri Makassar, Kurniawan Agung Widhi , Musa Muhammad Ichwan ,   Assistant Professor, Universitas Negeri Makassar., Dipoatmodjo Tenri SP ,   Lecturer, Universitas Negeri Makassar., Nurman Nurman ,   Assistant Professor, Universitas Negeri Makassar.
Published: June 2020

this research aims to analyze the effect of university student activity in the organization and learning achievement on the work readiness, particularly in entrepreneurship. The sample of the study was 53 students of Management Department at the Faculty of Economics, Makassar State University. Data collection is performed by using the documentation and questionnaire methods. The data analysis technique employed is multiple regression analysis and Multiple Correlation Coefficient Analysis and Determination Coefficient Analysis using the IBM Statistical for Product and Service Solution (SPSS) version 21 program. The results of this study indicate that the two independent variables are Student Activity in Organizations (X1) and Learning Achievement (X2) partially and simultaneously affect the dependent variable Work readiness (Y). The correlation coefficient of 0.854 is in the interval 0.71 to 0.90, which shows the strength of the relationship between the independent variable and the dependent variable is very strongly correlated. The coefficient of determination of 0.730 indicates the independent variable to predict the dependent variable by 73%, while the remaining 27% is influenced by other factors. This paper offers theoretical and practical implications. For theoretical implication, this research fills the gaps in existing research. Moreover, for practical implications, it is expected that the decision makers in higher education level should be able to keep up the positive aspects and to encourage the supportive academic atmosphere in order to generate such student’s entrepreneurial readiness.
IT Governance Assesment at Presidential Secretariat using COBIT 5 Framework
Authors:   Information System Management Department BINUS Graduate Program-Master of Information System Management, Bina Nusantara University Jakarta, Indonesia, Pasaribu Siti Royani , Harisno  ,   Information System Management Department BINUS Graduate Program-Master of Information System Management, Bina Nusantara University Jakarta, Indonesia
Published: June 2020

Presidential Secretariat according to State Minister Regulation No. 3 of 2015 chapter IV on position, duties and functions that are under the Presidential Secretariat and are responsible to the State Secretariat and in carrying out their duties the Head of the Presidential Secretariat can receive direct assignments from the president. The Presidential Secretariat consists of the Press, Media and Information Bureau (BPMI) which is tasked with carrying out press and media activities, reporting and analyzing news, managing information, data, and documenting the activities of the president and / or wife / husband of the president, state guests, and other important activities . inside and outside the country, as well as the management of the presidential library. IT governance is needed so that the IT process at the Presidential Secretariat can have an important impact on achieving the organization's vision, mission and strategic objectives. The purpose of this study is to evaluate IT services at the Presidential Secretariat based on COBIT 5 by assessing the level of IT process capability at COBIT 5 and Gap Analysis to determine the priority of IT processes at COBIT 5 in improving IT services. The evaluation evaluation measured from the COBIT 5 framework refers to 7 COBIT 5 processes, namely EDM01, EDM04, APO02, APO04, APO06, BAI08, and DSS03. Furthermore, the COBIT 5 process chosen in writing this research was obtained through data collection methods, namely conducting interviews, distributing questionnaires and observing at the Presidential Secretariat. Data analysis was based on the COBIT 5 framework through a questionnaire taken from 10 respondents using the Rating Scale Formula to find out the Scale of Capacity for each Activity and Output in the selected COBIT 5 process. Then from the evaluation results, it is known that 7 processes are still at Level 1 (Performed) where the results are still below the expected Ability Level, which is Level 4 (Predictable). In order for the Gap Analysis obtained to be 3, the results are used to set recommendations for improvement based on the COBIT 5 Framework.
An Interactive Animated Comic of Paedophile Awareness for Children
Authors:   Faculty of Computer & Mathematical Sciences, University Teknologi MARA Perlis Branch, Arau, Perlis, Malaysia., Ahmad* Siti Zulaiha , Nor Nur Anis Idayu Mohd ,   Faculty of Computer & Mathematical Sciences, University Teknologi MARA Perlis Branch, Arau, Perlis, Malaysia., Maesin Anis ,   Academic of Language Studies, University Teknologi MARA Perlis Branch, Arau, Perlis, Malaysia.
Published: June 2020

Paedophile is an issue that can cause nightmare to children who have become victims as they are likely to suffer physically and emotionally for the rest of their lives. Paedophile awareness is still generally low among Malaysians, especially children, that a creative and attractive method is required to deliver the crucial message. This research focused on the integration of animated comic and interactive multimedia using storytelling elements to create awareness about paedophile. Scenes embedded with the message are put into comic form to attract children’s attention and increase their understanding. Therefore, this study aims to develop an interactive application, called ‘i-ComPedo’ (Interactive Animated Comic of Paedophile Awareness among Children. The study adapts 3-phases research activities for the research methodology, which are analysis and design, development and testing. In order to evaluate the usability of ‘i-ComPedo’, this study conducted usability that involved primary school children. The usability test revealed that 91.3% of the children perceived ‘i-ComPedo’ as an interesting, understandable, user-friendly courseware. As a conclusion, an interactive animated comic has been developed to offer a new and innovative approach in instilling awareness among children about paedophile.
An Interactive Food Planner App
Authors:   Computer Science Engineering, Vellore Institute of Technology, Vellore, India., Nadh Chalasani Sethu Saketh , Reddy Nalubolu Likhith Kumar ,   Electronics and Communication Engineering, Vellore Institute of Technology, Vellore, India., Nigam Gajjala Ankit ,   Computer Science Engineering, Vellore Institute of Technology, Vellore, India.
Published: June 2020

This model will define the design of the automated timetable generation program. It contains explicit data about the normal info and yield and the modules. The communication between the modules to meet the necessities we need is delineated. We can prepare the list of food for dinner, lunch or breakfast and keep sharing with the friends. We can suggest our friends and family to taste the food in a certain restaurant. Also while sharing the food we can tag the food with various tag lines such as #easytocook #fastfood etc. This app is very useful to plan your food timings, a healthy diet can be maintained to lead a happy life. This model shows the images of the food and also gives a brief description of restaurant whether it is a suitable place for the person’s status.
Consumers Satisfaction towards Organic Food Products in Coimbatore
Authors:   Assistant Professor, Department of Commerce, Sri Krishna Adithya College of Arts and Science, Coimbatore, Aarthi M. , Balusamy `Dr. S. ,   Principal, KPR College of Arts,Science and Research, Arasur, Coimbatore
Published: June 2020

The organic foods are perceived as more nutritious, healthy, and nature-friendly than conventional food. Consumers, therefore, are switching over to organic food products and are willing to pay a premium price. Findings of my study reveal more women were open to buying organic food products than men – the percentage was 77 per cent for women and 23 per cent for men. Buying in organic stores located in and around Coimbatore. However, the consumers have concerns on organic produce, primarily the certification and authenticity of organic food products has to be improved. They lack awareness towards originality and certification process involved in Organic food products. Also, this market is huge and untapped. So, there are innumerable benefits for all the stakeholders; however, a few challenges.This study provides a better understanding of consumers' attitude, purchase intention and actual buying behaviour towards organic food products. For this purpose, a survey data were collected from 773 Coimbatore consumers through structured questionnaire. Statistical tools adopted to execute the results. And necessary findings provided with data interpretations.
Water Quality Modelling Qual 2KW for River Tungabhadra (India).
Authors:   Research Student in VTU-PG studies, Belagavi-590018, India., Ranjith S. , Shivapur Anand.V. ,   Regional Director and PG-coordinator VTU-PG studies, Belagavi-590018, India., Kumar P.Shiva Keshava ,   Professor and Head, Department of Civil Engineering, PDIT Engineering College Hosapete-583201, India., Hiremath Chandrashekarayya. G. ,   Assistant prof. Department of water and land management, VTU, Belagavi-590018, India., Dhungana Santhosh ,   School of Environment, Resources and Development (SERD), Pathumthani 12120, Thailand.
Published: June 2020

The River Tungabhadra takes its course through the Davangere district of Karnataka state of India. Along this course lies Harihar, the administrative headquarters of Harihar Taluk and other villages which are linear settlements on the bank of the River. These human settlements discharge untreated domestic waste and industrial effluent into the water as it flows. Therefore, it is imperative to study the degree of pollution of this water and ascertain its suitability for various uses. In this study, we shall make use of QUAL2Kw water quality model to predict the quality of water in the sections of the River that have been polluted. While making use of this Model, it was calibrated and validated for Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), and Total Nitrogen (TN) during the pre-monsoon season. The data derived from the field and laboratory measurements were applied for the calibration and validation. The statistical method applied for the evaluation of the model performance was Standard Errors (SE) and Mean Multiplicative Error (MME). It was found that the Model is a good representation of the field data, but there are some minor exceptions. Although there are differences between the simulated data and the one measured in some instances, the results of the calibration and validation data are still acceptable. This type of result is applicable, especially in developing nations, where there are insufficient funds for frequent monitoring campaigns or more accurate research methodologies.
Design of Low Power Multiplexer and De-Multiplexer using Different Adiabatic Logics
Authors:   Department of Electronics and Communication Engineering, VBIT, JNT University, Hyderabad, India., Swathi* M. , Priya A.V.N.S Lasya ,   Department of Electronics and Communication Engineering, VBIT, JNT University, Hyderabad, India., Pudari Lokesh ,   Department of Electronics and Communication Engineering, VBIT, JNT University, Hyderabad, India., Karthik Kura ,   Department of Electronics and Communication Engineering, VBIT, JNT University, Hyderabad, India.
Published: June 2020

In this paper we proposed, design and evaluation of 16:1 Multiplexer and 1:16 Demultiplexer using different adiabatic logics. Power consumption is the main factor in VLSI digital circuit design. Here we have introduced a CMOS-logic based 16:1 Multiplexer and 1:16 De-multiplexer with a low power adiabatic logic. In which we concentrate on the characteristics of the CMOS and adiabatic logics such as 2N2P, 2N-2N2P and Dual sleep. Wherein both 2N2P and 2N2N2P use a cross-coupled transistor structure for adiabatic operation. Adiabatic logic circuits use reverse logic and the power dissipation will be less compared to the CMOS circuits as the inputs are given to the n-type functional tree in 2N2P and 2N2N2P. For dual sleep logic an additional circuit is connected in series with general CMOS circuit known as sleep circuit. we have concentrated on energy recovery and power dissipation, as all these technique results in the low power dissipation. Dualsleep is considered as the best of the all the other adiabatic and traditional logics.
Software Defined Storage Implementation Model to Data Centers
Authors:   IT Department, Open Nova IT Consulting, Lima, Peru., Vargas* Andy Reyes , Pumaleque Alex Pacheco ,   Professional School of Systems Engineering, National University of Cañete, Lima, Peru, Tinoco Enrique Condor ,   Academic Department of Engineering and Computer Technology, Jose Maria Arguedas National University, Andahuaylas, Peru., Rocca Marco de la Cruz ,   Professional School of Systems and Computer Engineering, Daniel Alcides Carrion National University, Cerro de Pasco, Peru.
Published: June 2020

This research focuses on deliver a SDS implementation model that facilitate the definition of requirements to be delivered in a timely manner to systems. Software Defined Storage (SDS) enables different hardware technologies to be homogenized and deliver independent storage. The technologies included on the implementation model are the open-source projects Red Hat Gluster Storage and Red Hat Ceph Storage. Both technologies are integrated into a virtualization platform, it is compared at a functional and economic level with respect to some enterprise solutions and it is shown that the same operations are performed as a viable technological alternative. The favorable results of the model are presented and the great benefit that open-source technologies have open scope that allows it to be integrated into other projects is presented.
Multivariate Statistical Analysis of Atmospheric Dispersion of BTX Compounds at Sanathnagar, Hyderabad.
Authors:   Research Scholar, Dept. of Civil Engineering, Andhra University, Visakhapatnam, Hemavani Bhavana , Rao Dr.G.V.R.Srinivasa ,   Professor, Dept. of Civil Engineering, Andhra University, Visakhapatnam.
Published: June 2020

Sanathnagar, located in the centre of Hyderabad city, is taken as a case study to assess the meteorological factors influencing the air quality parameters Benzene, Toluene, Xylene (BTX compounds) and to identify the significant sources of pollution using the interspecies ratios. A data of ten years (2007-2017) from Central Pollution control board (CPCB), Hyderabad, Telangana state is studied. TX compounds coming under Volatile Organic Compounds (VOC) were considered as the air quality parameters, seasons as cases and concerning meteorological factors such as Atmospheric Temperature AT (0C), Relative Humidity RH(%), Wind Speed WS (m/s), Wind Direction WD (deg), Sun Radiation SR (w/m2), Barometric Pressure BP (mm/Hg). Multivariate statistical techniques, namely Principal Component Analysis (PCA), and Cluster Analysis are used in this study with the help of IBM SPSS 26. The KMO test sampling adequacy found to be higher than 0.5, and the Bartlett test showed lesser value than 0.00, hence proving the results of the analysis are satisfactory. From BTX ratios it was observed that T/B was much higher than one and X/B been minimal value for all seasons indicating traffic pollution as a significant source of ambient air pollution in the study area. On the other hand, the correlation matrix states that a positive correlation between meteorological factors and ambient air quality parameters are as follows: SR- Benzene, Xylene; BP- Toluene; WS- Benzene, Toluene, and Xylene and the factors with a negative correlation on parameters are WD, RH, AT. PCA states that ambient air quality parameters are influenced by meteorological factors such as SR, RH, WS, WD (major influencers) and BP, AT (moderator influencers). Whereas in Cluster Analysis major influencers are WS, AT, RH and moderate are WP, SR, BP respectively. Therefore, PCA and CA results have shown similar trends in the categorization of meteorological influencers.
Detection of Sentiment Analysis in Social Media using Deep Learning
Authors:   Assistant Professor,Dept. of CSE, Sri Venkateswara College of Engineering, Tirupati, India, Preethi* M Srilakshmi , Khan S Thabassum ,   Assistant Professor,Dept. of Information Technology, Sri Venkateswara Engineering College, Tirupati, India., Shree D Divya ,   Assistant Professor, Dept. of Computer Science & System Engineering, Sree Vidyanikethan Engineering College, Tirupati, India
Published: June 2020

With the rapid climb of web page from social media, such studies as online opinion mining or sentiment analysis of text have started receiving attention from government, industry, and academic sectors. In recent years, sentiment analysis has not only emerged under knowledge fusion within the big data era, but has also become a well-liked research topic within the area of AI and machine learning. This study used the Military life PTT board of Taiwan’s largest online forum because the source of its experimental data. the aim of this study was to construct a sentiment analysis framework and processes for social media so as to propose a self-developed military sentiment dictionary for improving sentiment classification and analyze the performance of various deep learning models with various parameter calibration combinations. The experimental results show that the accuracy and F1-measure of the model that mixes existing sentiment dictionaries and therefore the self-developed military sentiment dictionary are better than the results from using existing sentiment dictionaries only. Furthermore, the prediction model trained using the activation function, Tanh, and when the amount of Bi-LSTM network layers is 2, the accuracy and F1-measure have a good better performance for sentiment classification.
Intelligent Frame Work to Predict Autism in Infants using Machine Learning
Authors:   Assistant Professor, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India., Sonia* S.V.Evangelin , Prasanth R. ,   Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India., Mythreyei B. ,   Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India., Harshavardhan A. ,   Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India., Manoharan A. ,   Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
Published: June 2020

Autistic Spectrum Disorder (ASD) is a behavioral impairment that interferes with the use of auditory, communicative, cognitive, abilities and social skills. ADS was introduce researched using advanced approaches based on machine learning to speed up the diagnostic period or increase the responsiveness, reliability or precision of the diagnosis process. Normal medical checkup data (training data) of the baby, test data is used to classify the child with autism. The assessment results showed that, for both types of datasets, the proposed prediction model produces better results in terms of precision, responsiveness, precision and false positive rate (FPR). In the modern day, Autism Spectrum Disorder (ASD) is gaining some momentum quicker than ever. Detecting signs of autism by screening tests is very costly and time consuming. Autism can be identified faster by combining artificial intelligence and Machine Learning (ML).
Secure user Browser Activity using Hybrid Data Hiding Techniques
Authors:   Computer Science Department, Faculty of Science and Defense Technology, Universiti Pertahanan Nasional Malaysia., Amran* Mohd Fahmi Mohamad , Kathiravan Yamunah ,   Computer Science Department, Faculty of Science and Defense Technology, Universiti Pertahanan Nasional Malaysia., Razali Noor Afiza Mat ,   Computer Science Department, Faculty of Science and Defense Technology, Universiti Pertahanan Nasional Malaysia., Ahmad Raja Mohd Tariqi Raja Lope ,   Computer Science Department, Faculty of Science and Defense Technology, Universiti Pertahanan Nasional Malaysia., Adnan Zuraidy ,   Computer Science Department, Faculty of Science and Defense Technology, Universiti Pertahanan Nasional Malaysia., Rauf Muhammad Fairuz Abd ,   Computer Science Department, Faculty of Science and Defense Technology, Universiti Pertahanan Nasional Malaysia., Shukran Mohd Afizi Mohd ,   Computer Science Department, Faculty of Science and Defense Technology, Universiti Pertahanan Nasional Malaysia.
Published: June 2020

Web browsers may delete some files but it doesn’t delete everything. The purpose of private browsing is for users to browse private mode just as a standard browsing session would, but without storing any data such as log-in credentials or browsing history upon exit. A secure framework to secure the web browser artefacts is proposed to fulfil the requirements. In order to compare and contrast the different methods of artefacts encryption, a hybrid method was introduced; Base64 + AES on the prototype. The test systems were created by utilising virtual machines. The prototype was developed using C# language in Microsoft Visual Studio application that runs on Windows. To provide countermeasures, this research proposes an implementation of a third-party privacy application, called PRINDOW, to improve security in hiding a user's browsing activity. Every browsing session is recorded and scanned using the prototype. This method allows only the base requirements to be installed on the virtual machine for each file with the cryptographic method. This framework could theoretically enhance current practises by making slight changes to the web browser's application structure.
Assessment of Hydrological Parameters of the Watershed using ArcSWAT
Authors:   civil engineering department, L. D. College of Engineering, Ahmedabad, India., SHAIKH* MOHDZUNED M. , LODHA Dr. PRADEEP P. ,   civil engineering department, VGEC, Ahmedabad, India.
Published: June 2020

Climate change is an inevitable phenomenon that has lead the earth to evolve from an ice age to present era. Due to rise in temperature, rate of Evapotranspiration is increasing that leads to higher rate of maximum event. This raises the need to analyse the watersheds which shows considerable vulnerability towards climate change. SWAT model is chosen to simulate the analysis which is a semi-distributed hydrological model. The model run has been carried out for 35 years where model outputs are compared with the observed values of Evapotranspiration. Model is successfully validated for five years giving NSE as 0.89. Calibrated & Validated model shows that average values of Evapotranspiration & Surface Runoff in mm against 882mm of rainfall are 303mm & 285mm respectively. A Hathmati watershed of western India is taken to demonstrate the work.
SDLC Security Framework for Software Startups
Authors:   Department of Computer Applications, Madurai Kamaraj University College, Madurai, India., Jeyapriya* S. , Rekha C. ,   Department of Computer Applications, Madurai Kamaraj University College, Madurai, India.
Published: June 2020

A major issue for software startup firms failing to develop strong security programs is that the perceived start-up price to hold it out. Secure software Development Life Cycle (SDLC) framework used for software developers, in saving the project cost throughout the first integration of design. As several developers advocate, software organizations usually adopt atop-down approach to implement secure SDLC methodologies. Interview was finished with developers within the software startups presently used in industry to explore real-life software security practices throughout every stage of the development lifecycle. The aim of the proposed framework is to assist developers in startups to explore real-life software security practices throughout every stage of the development lifecycle.
Credit Card Fraud Detection in Data Mining u sing XGBoost Classifier
Authors:   department of CSE & IT, MITS College or RGPV University, Gwalior, India., Goyal* Rahul , Manjhvar Amit Kumar ,   department of CSE & IT, MITS College or RGPV University, Gwalior, India., Sejwar Vikas ,   department of CSE & IT, MITS College or RGPV University, Gwalior, India.
Published: June 2020

In today's economy, credit card (CC) plays a major role. It is an inevitable part of a household, business & global business. While using CCs can offer huge advantages if used cautiously and safely, significant credit & financial damage can be incurred by fraudulent activity. Several methods to deal with the rising credit card fraud (CCF) have been suggested. Both such strategies, though, are meant to prevent CCFs; each of them has its own drawbacks, benefits, and functions. CCF has become a significant global concern because of the huge growth of e-commerce and the proliferation of payment online. Machine learning (ML) algo as a data mining technology (DM) was recently very involved in the detection of CCF. There are however several challenges, including the absence of publicly available data sets, high unbalanced size, and different confusing behavior. In this paper, we discuss the state of the art in credit card fraud detection (CCFD), dataset and assessment standards after analyzing issues with the CCFD. Dataset is publicly available in the CCFD data set used in experiments. Here, we compare two ML algos of performance: Logistic Regression (LR) and XGBoost in detecting CCF Transactions Real Life Data. XGBoosthas an inherent ability to handle missing values. When XGBoost encounters node at lost value, it tries to split left & right hands & learn all ways to the highest loss. This is when the test runs on the data. The experimental results show an effective use of the XGBoost classifier. Technique of performance is widely accepted metric based on exclusion: accuracy & recall. Also, the comparison between both approaches displayed based on the ROC curve.
Sensor FDD based FTC D esign for Time D elay PEMFC S ystems
Authors:   Research Scholar, Department of Mechanical Engineering at National Institute of Technology (NIT) Patna, India., Sinha Vikash , Mondal Sharifuddin ,   Assistant Professor, Department of Mechanical Engineering at National Institute of Technology (NIT) Patna, India.
Published: June 2020

An FTC design based on sensor FDD is presented for time-delay PEMFC systems with disturbances and uncertainties. A robust fault detection observer with a fault diagnosis technique is used. The Lyapunov principle derives the adaptive law and estimates sensor fault. A scheme based on FDD adaptive algorithm is derived to obtain fault in the sensor. The PEMFC systems simulations show the utility of the algorithm. Time-delays are considered in deriving both adaptive observer and FTC algorithm which is not incorporated in previous works on PEMFC systems. The simulated results can estimate the fault and validate the FTC design.
Ar Color Grab A Coloring Experience for Autistic Children
Authors:   Research Scholar, Department of Banking Technology, Pondicherry University, Puducherry, India., Shanmugam Mr.M. , Venkatesan Dr.V.Prasanna ,   Professor, Department of Banking Technology, Pondicherry University, Puducherry, India., Anitha S. ,   Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India., Keerthi D.Sai Prabha Satya ,   Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India., Laxmi R.Raj ,   Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Puducherry, India.
Published: June 2020

Augmented Reality (AR) brings together a hub of technologies together, thus allowing us to visualize computer generated data over reality. AR enhances the view by adding digital components to the view. Computer added elements are placed over a real environment indirectly by the use of AR, which increases the impact on the viewer. Various forms of elements like audio, video, animation or data may be added on the scene. The gap between the real environment and digital enhancements is bridged by Augmented Reality by creating an exciting situation. Therefore, a colouring book app, which leverages the use of Augmented Reality is presented, the app allows children to colour the characters of the colouring book, which can then be verified by a mobile device. The detection and tracking of the drawing are done using the application, and a 3-D view of the character is animated via a video stream. This video stream is developed according to the colouring done by a child. The visible and omitted regions of the 3D character are projected from the 2-D view using a process which is then presented in reality. A new outlier rejection algorithm is implemented to track a deformable surface for coloured drawings. Real time tracking and surface deformation recovery are provided. A pipeline that creates 2-D and 3- D content is effectively presented. The principal idea behind this project is to come up with an enhanced colouring experience for autistic children using AR, and also enable them to learn something out of it via a video option given by the application.
Implementation of Software Defined Networking using Openflow Protocol
Authors:   pursuing final year in the stream of ECE in the institution of National Engineering College,Kovilpatti, P Anshath Nisha , P Jessica Priyadharshini ,   pursuing final year in the stream of ECE in the institution of National Engineering College, Kovilpatti, Venkatesan Dr.Prasanna ,   Asst.Professor in National Engineering College,Kovilpatti.
Published: June 2020

Software Defined Networking is a new rising technique that allows to separate the planes. This emerging technology provides agility and flexibility to a network. Agile means the administrator can automatically adjust the network traffic to meet the changing needs. Its main aim is to make the network devices by using software and controlling the networking devices using software. It is attained by using in Mininet software.The SDN is implemented using the OF Protocol in the ONF Software. It is done by using Open flow switch and mainly for accurate communication done by the open flow switch. Here it gives accurate connection and the information is transmitted in the form of packets and delivered correctly to the server or other user, etc., Open flow switch has two types where centralized switch is used here.
Performance of Treated Sludge as a Replacement of Fine Aggregate in Construction Application
Authors:   Civil Engineering Department, Rohini College of Engineering and Technology, Kanyakumari, Anna University Chennai India., Ruben* Dr.J.Sahaya , Ajan K. ,   Civil Engineerig Department, Rohini College of Engineering and Technology, Kanyakumari, Anna University Chennai India., Gandhi Mr. R.Rajiv ,   Civil Engineering Department, Rohini College of Engineering and Technology, Kanyakumari, Anna University Chennai India.
Published: June 2020

Large quantities of sludge are produced during the conventional processes of coagulation, flocculation and sedimentation in water treatment plants. The volume of sludge generated during water treatment process can be as high as 2% of the total volume of water treated. The cost of treatment and the disposal of the sludge plays a significant part of a water treatment plant. As the disposal of sludge produced from water treatment plants is highly expensive and difficult, valuable reuse options have been proposed to remove the sludge. In India, there are numerous emanating treatment plants bringing about mounting of sludge. It is very difficult and expensive to transfer the sludge from treatment plant. The more waste generated by the plants creates environmental problems of toxic threat. The treated waste sludge materials can be used as a replacement of fine aggregate to minimize the landfills is one of a cost-effective solution to this problem. There is a lack of conventional construction materials such as cement, fine aggregate and coarse aggregate due to the rapid increase in construction activities. To find replacement materials in construction many research have been conducted. The usage of treated sludge as a fine aggregate in construction material is an environmentally friendly option for the disposal sludge generated by water treatment industry.
Baseband Signal Generation for Multi-Function Phased Array Radar
Authors:   UG Student, Department of ECE, National Engineering, Kovilpatti, India., Priya* M.Shanmuga , Saranya M.Uma ,   UG Student, Department of ECE, National Engineering, Kovilpatti, India, Kumari S.Anitha ,   UG Student, Department of ECE, National Engineering, Kovilpatti, India., Selvi S.Tamil ,   Professor, Department of ECE, National Engineering, Kovilpatti, India.
Published: June 2020

The multi-function phased array radar (MPAR) is used for weather monitoring, air-traffic control requirements and non-cooperative elements monitoring in a parallel manner. The amplitude of the radio frequency signal is varied depending on the location of the target from the radar. The proposed work generates a signal which is used as a input for RF transmitter of Multifunction Phased Array Radar. To achieve this MPAR requirement, the in-phase and quadrature-phase samples are generated for a high data rate using MATLAB and then VHDL output was obtained from Xilinx for QPSK and QAM modulation techniques.
Mechanical Properties of Concrete by using M- Sand and Basalt Fibre in Concrete
Authors:   Assistant professor, Dr.M.G.R.Educational and Research Institute , Madhuravoyal,Chennai, Kavitha Dr.T. , Partheeban Dr.P. ,   Dean, Planning and development, Kundrathur,Chennai
Published: June 2020

This paper presents the impact of the basalt fibre in concrete.Basalt fibre is a relatively new material and it is a high performance non-metallic fibre made from basalt rock melted at a high temperature. It is economical and having good strength characteristics, and also resists against temperature and alkaline environment. The Main aim of this paper is to find the compressive, flexural and split tensile strength of Concrete with M-sand and Basalt Fibre. The length of basalt fibre 12mm was used with in the range of 0.1% to 0.3%with total volume of concrete. Due to lack of river sand, it is partially replaced with M-sand by 50%and 60% in this work. This paper shows the enhancement of mechanical properties of concrete by adding Basalt fibre and partial replacement of river sand with M-sand.
TASM : Trust Aware Scheme for Secure and Reliable Data Transmission in MANETS
Authors:   Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, India, B T* Dr. Lata , K R Dr. Venugopal ,   The Vice Chancellor, Bangalore University, Bengaluru. India
Published: June 2020

Wireless sensor nodes are tiny and have limited battery and memory. These sensor nodes are distributed and self organizing networks. Mobile Ad Hoc network (MANETs) has wide range of applications areas. Growing usage of MANETs in various applications makes a paramount issue in providing QoS. MANETs are vulnerable to different kinds of malicious attacks due to its dynamic nature, which affects nodes connectivity, increase in energy consumption and functionality. Centralized and cryptographic security approaches requires more computational functions which increases overhead. Traditional approaches have more overhead. Most existing trust-based security schemes for mobile ad-hoc networks (MANETs) consider packet loss an indicator of possible attacks by malicious nodes. Thus to achieve secure and reliable data transfer a trust aware scheme is required to evaluate trust level among honest and malicious nodes. In this paper we propose Trust Aware Scheme for Moving nodes (TASM) which discovers efficient node by computing each node’s trust value. In this scheme moving nodes exchange their trust information and analyses the received trust value and makes judgement. This scheme modifies the existing AODV routing protocol and determines malicious nodes based on trust value and log information. Received Signal Strength Indicator (RSSI) determines efficient and trusted neighbour node selection while routing. Proposed scheme is compared with the existing trust based scheme and network parameters like throughput, packet delivery ratio and end to end delay is evaluated. Trusted routing can efficiently deliver data for different routing applications used in military, Fanets and mobile IoT.
Heart Disease Prediction using Machine Learning
Authors:   Assistant Professor, Department of Computer Science and Engineering,Sri Shakthi Institute of Engineering and Technology, Coimbatore, Saranya* Mrs. N. , Kaviyarasu P. ,   UG Student, Department of Computer Science and Engineering,Sri Shakthi Institute of Engineering and Technology, Coimbatore, Keerthana A. ,   UG Student , Department of Computer Science and Engineering,Sri Shakthi Institute of Engineering and Technology, Coimbatore, Oveya C. ,   UG Student, Department of Computer Science and Engineering,Sri Shakthi Institute of Engineering and Technology, Coimbatore
Published: June 2020

Deriving the methodologies to detect heart issues at an earlier stage and intimating the patient to improve their health. To resolve this problem, we will use Machine Learning techniques to predict the incidence at an earlier stage. We have a tendency to use sure parameters like age, sex, height, weight, case history, smoking and alcohol consumption and test like pressure ,cholesterol, diabetes, ECG, ECHO for prediction. In machine learning there are many algorithms which will be used to solve this issue. The algorithms include K-Nearest Neighbour, Support vector classifier, decision tree classifier, logistic regression and Random Forest classifier. Using these parameters and algorithms we need to predict whether or not the patient has heart disease or not and recommend the patient to improve his/her health.
Prediction of Flash Flood using Rainfall by MLP Classifier
Authors:   Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India., A* Vinothini , L Kruthiga ,   Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India., U Monisha ,   Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India.
Published: June 2020

Flood are one of the unfavorable natural disasters. A flood can result in a huge loss of human lives and properties. It can also affect agricultural lands and destroy cultivated crops and trees. The flood can occur as a result of surface-runoff formed from melting snow, long-drawn-out rains, and derisory drainage of rainwater or collapse of dams. Today people have destroyed the rivers and lakes and have turned the natural water storage pools to buildings and construction lands. Flash floods can develop quickly within a few hours when compared with a regular flood. Research in prediction of flood has improved to reduce the loss of human life, property damages, and various problems related to the flood. Machine learning methods are widely used in building an efficient prediction model for weather forecasting. This advancement of the prediction system provides cost-effective solutions and better performance. In this paper, a prediction model is constructed using rainfall data to predict the occurrence of floods due to rainfall. The model predicts whether “flood may happen or not” based on the rainfall range for particular locations. Indian district rainfall data is used to build the prediction model. The dataset is trained with various algorithms like Linear Regression, K- Nearest Neighbor, Support Vector Machine, and Multilayer Perceptron. Among this, MLP algorithm performed efficiently with the highest accuracy of 97.40%. The MLP flash flood prediction model can be useful for the climate scientist to predict the flood during a heavy downpour with the highest accuracy.
Pitch A ngle Control through PI and PID Controller based for Wind Energy Conversion System
Authors:   Energy Centre, Maulana Azad National Institute of Technology, Bhopal 462003, M.P., India., Rathore* Mukesh Kumar , Agrawal Meena ,   Energy Centre, Maulana Azad National Institute of Technology, Bhopal
Published: June 2020

The worldwide electrical energy consumption is growing day by day and also increasing the demand of power generation. So in addition into the electrical power system network for power production units a large number of renewable energy units is being combined. A wind energy generation system is the economical of all safe renewable energy sources and the environmentally clean in worldwide. The acceptance of variable speed generation systems the recent evolution of variable frequency drive and power semiconductors technology has been aided. Pitch angle control techniques is best factor to improve the efficiency as well as protection of the wind turbine blade. Therefore, presented in the work a comprehensive model of permanent magnet machines in wind turbine system. Modelling and simulation permanent magnet machines with wind turbine system of PI and PID controller based pitch angle control figuring performance is done by using MATLAB software. The significant result of these controller performance is being compared and also shown with validate approach with the existing survey.