bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of Algorithm for Optimally Weighted Non-Iterative Bilateral Filter (OW-NI-BF) to Eliminate Gaussian Noise
Authors:   Computer Science and Engineering Department, Gogte  Institute of Technology, VTU University, Belagavi, India, Patil Neha , Udupi V. R. ,   Electronics and Communication Engineering Department,  Maratha Mandal Engineering College, VTU University, Belagavi, India
Published: August 2019

Gaussian filter is linear that smooth independent of edges and details of the image. The standard bilateral filter is effective for low-density noise. However, the performance of filter degrades with an increase in noise level. We designed a non-iterative bilateral filter algorithm which is robust for large noise levels, but lacks low noise levels the performance. To get the best denoising performance out of these two, standard bilateral filter and proposed non-iterative bilateral filter is combined in weighted fashion using Stein's unbiased risk estimate. Thus, the proposed optimally weighted non-iterative bilateral filter (OW-NI-BF) algorithm is guaranteed to perform better than either of the component filter. It is non-linear, local and non-iterative that works on geometric closeness and gray level similarities irrespective of smoothing edge. In Gaussian noise scenarios, the performance of the proposed OW-NI-BF algorithm is compared with various methods. Quantitative and visual denoising results demonstrate significant improvement over the original filter. PSNR and IQI are used to measure the quality of the de-noised image.
Multi Band Spectral Subtraction Combined with Adaptive Noise Estimation
Authors:   Research Scholar, Dept. of ECE, JNTUK,India,, Sunitha P , Satya Prasad Dr.K. ,   Rector, VFSTR,Guntur, India,
Published: August 2019

Speech enhancement is a prerequisite for many speech communication applications like speech coders, hearing aids, voice recognition systems, Man –Machine communication, Video conferencing etc . For all these practical systems input is a noisy speech , so it requires a pre-processing operation for further processing. This paper gives a method to improve the speech quality in presence of background noise, based on Multi Band Spectral Subtraction combined with adaptive noise estimation. Further the performance analysis of this method is done using objective quality measures like Segmental SNR(segSNR),Weighted SlopeSpectral Distance (WSSD),Log Likelihood Ratio(LLR),Perceptual Evaluation of Speech Quality (PESQ) and Composite Measures under highly non-stationary noise. Finally the results were compared against Spectral Subtraction(SS), Multi Band Spectral Subtraction(MBSS) methods and the results shows that the proposed method shows consistence performance against all the cases considered.
Stability Analysis of an Epidemic Model with Infected Immigrants and Optimal Vaccination
Authors:   Mathematics, CMR college of Engineering and Technology, Hyderabad, India., Sridevi M. , Reddy Dr. B. Ravindra ,   Mathematics, JNTUCEH, Hyderabad, India.
Published: August 2019

In this paper an SIR (Susceptible-infectious-recovered) epidemic model consisting of saturated incidence rate with vaccination to the susceptible individual in presence of infected immigrants is studied. Stabilities of disease free and endemic equilibrium are also analyzed. The impact of the infected immigrants in the spread of the illness in a populace is examined. A mathematical model has been used to investigate the inflow of the infected immigrants in a population who rapidly transmit the disease. By using appropriate vaccine level to the susceptible population, disease can be reduced. The main purpose of this work is minimizing the invectives and maximizes the recovered individuals. To attain this, apply optimal vaccination strategies by utilizing the pontryagin’s maximum principle (PMP). Speculative results are demonstrated through the numerical simulations.
Importance of Lean Concepts and Its Need in Construction Projects
Authors:   Former M.Tech(CEM) Student,Dept. of Civil Engineering, Manipal Institute of Technology, MAHE Manipal, India., Shetty Prasanna , Rao Prof. B Prakash ,   Associate Professor(Senior Scale)Dept.ofCivilEngineering,ManipalInstituteof Technology, MAHE,Manipal,India.
Published: August 2019

As we look through the lens of productivity, construction is extremely interesting industry. As researchers are coming up with various new techniques to transform the construction industry not all the efforts are completely used. Several technical and non-technical factors like poor work execution, congestion in the place of work, cleanliness issues, unavailability of resources, delay in the process, qualitymismatch and lack of proper management affects the whole process. Hence thereisarequirementforautomationinseveralareasintheentire process to keep the non-value-added activities in check. The main cause for reduction in performance in this field is lack of waste management something that is least considered. Therefore, proper management of waste materials to produce a leaner and fitter organization plays a very important role in raising the profits. Lean construction requires involvement of lean manufacturing principles along with operations research and construction process. A case study is made based on the observations in the ongoing construction process of a 5-storeyed building “Shrisham Housing Association” in Udupi for a duration of 7 months. This involved activities like Masonry work such as Blockwork and Plastering, Flooring and Tiling. Lean process aims at raising the value of the product for the customers along with least wastage and increased productivity. There are several tools used by the industry to adopt to lean process such as the 5 Whys, The 5S System, Value Stream Mapping, Regression Analysis, Pareto Chart, Failure Modes and Effects Analysis, Continuous Improvement and Mistake Proofing. In this study “MUDA Walks” and “Value Stream Mapping” tools are used for detection, “Fishbone Diagram” and “5 Whys” for processing and “Last Planner System”, “Daily Huddle Meeting”, “5 S Principle” and “First Run Studies” for mitigation. It is observed that the percentage excess of materials over a period of six months of M. SandandP.Sandhasbeenreducedby17%and9.1%respectively whereas the percentage shortage of solid blocks has been reduced by 1%. The frequency of occurrence of types of wastage due to work delay is ranked 1 and wastage due to human resources is ranked the least among the five categories of wastes consideredin this study. It is also observed that the average lead time of non-value added activities is 25.4% in tiling, plastering and block work.
Energy Evaluation of Sensor Protocol based on AI Techniques using CRAWDAD Data
Authors:   Department of Information Science and Technology, Kyoto Sangyo University, Kyoto, Japan., Mittal Mohit , Saraswat Lalit Kumar ,   Department of Computer Science and Engineering, Raj Kumar Goel Institute of Technology, Ghaziabad, India
Published: August 2019

Wireless sensor networks (WSNs) are one of popular communication networks that have garnered most prominent research attention due to their flexibility to sense physical environment parameters and converts into signal form. Battery power is limitation of WSN i.e. network will alive till battery is available. The network lifetime of WSN can be improved by use of energy-efficient cluster-based routing algorithms. In this paper, a key idea is attempting to improvise the LEACH protocol with the help of various clustering techniques and develop improved protocol such as LEACH-K, LEACH-FUZZYC, and LEACH-SOM. Simulation results show that LEACH-FUZZYC outperforms as compare to LEACH, LEACH-K and LEACH-SOM.
Influence of Bio-Oils as Cutting Fluids on Chip Formation and Tool Wear during Drilling Operation of Mild Steel
Authors:   Professor, K.S.School of Engineering and Management, Bangalore., P N Jyothi , M Susmitha ,   SB Designer, TechMahindra, Bangalore., Kumar M Bharath ,   Project Coordinator, Deluxe Entertainment services India pvt.Ltd, Bangalore.
Published: August 2019

The importance of health and environment has forced Machining Industries to reduce the application of Petroleum-based cutting fluid. But to ease the machining process and to increase the tool life, cutting fluids must be used. Research has been done on vegetable oils as cutting fluids which is easy for disposal and does not affect the environment and the operator’s health [1] . This paper discusses the machinability and tool life during drilling of a mild steel work piece using Neem, Karanja, blends of 50%Neem-50%Karanja, 33.3%Neem-66.6%Karanja, 66.6%Neem-33.3%Karanja as cutting fluid. Results obtained using petroleum-based oil are compared with the results obtained by using above mentioned combination of oils and also with dry cutting conditions.
Efficient Comparator Design for Motion Estimation on FPGA
Authors:   Department of Electronics & Communication Engg.,MANIT,Bhopal,India, Koshta Jaya , Khare Kavita ,   Department of Electronics & Communication Engg.,MANIT,Bhopal,India.
Published: August 2019

Motion Estimation(ME) operationinvolves predicting the frames and identifying motion vectors sothat redundancy can be exploited by eliminating the transfer ofsimilar information between successive frames.The most efficientand simple technique to estimate the motion vectors is Summation ofAbsolute Difference(SAD) where comparator forms one of an elemental component in SAD computation.This paper proposes two different comparator designs where propoundcircuit I is based on efficient look ahead comparator andpropound circuit II uses alteredone’s complement and conditional sum adder method. Results shows that propound circuit I reduces delay by 23%but with 16% increase in number of slice LUTs whereas the propoundcircuit II reduces delay by 11% and gives 33% reduction in number of slice LUTsas compared to traditional circuit. The propound hardwarecircuits are implemented on Virtex 7 FPGA and synthesized using Verilog as HDL language on Xilinx ISE 14.2.
Hollow Beams Strengthened with Steel Fibres and FRP Wrapping
Authors:   Civil Engineering, Noorul Islam Centre for Higher Education, India, A Jeyakumar. , M.S Ravikumar. ,   Civil Engineering, PSN College of Engineering and Technology, India., N Nalanth. ,   Civil Engineering, Noorul Islam Centre for Higher Education, India
Published: August 2019

In the field of construction hollow sections have found wide application due to its advantageous properties. Many research works have been conducted to study the flexural and tensional behaviour of hollow reinforced concrete beams. But its behaviour using High-Performance Concrete (HPC) has been poorly noticed. In this study an attempt made to evaluate Hollow reinforced beams made with HPC and reinforced with hybrid steel fibres. The flexural behaviour of hollow beams based on the effect of Carbon fibre reinforced polymer (CFRP) has also been explored. A comparison is made between the results obtained from analysis using ANSYS software with the experimental test result. It is noticeable that the flexural strength, its ductility, and stiffness is not affected but the self-weight of the structure is reduced due to hollow beams.
Affinity Prediction using Mutated Protein-Ligand Docking with Regression Techniques of SCA
Authors:   Department of Comptuer Science, PSGR Krishnammal College for Women, Coimbatore, India., Asha P. R. , Vijaya M. S. ,   Department of Comptuer Science, PSGR Krishnammal College for Women, Coimbatore, India
Published: August 2019

Drug discovery for rare genetic disorder like spinocerebellar ataxia is very complicated in biomedical research. Numerous approaches are available for drug design in clinical labs, but it is time consuming. There is a need for affinity prediction of spinocerebellar ataxia, which will help in facilitating the drug design. In this work, the proteins are mutated with the information available from HGMD database. The repeat mutations are induced manually, and that mutated proteins are docked with ligand. The model is trained with extricated features such as energy profiles, rf-score, autodock vina scores, cyscore and sequence descriptors. Regression techniques like linear, polynomial, ridge, SVM and neural network regression are implemented. The predictive models are built with various regression techniques and the predictive model implemented with support vector regression is compared with support vector regression kernel. Among all regression techniques, SVR performs well than the other regression models.
Data Mining K-Means Document Clustering using TFIDF and Word Frequency Count
Authors:   Assistant Professor, Department of Computer and Information Science, Annamalai University, India., Arivarasan Aranga , Karthikeyan Dr. M. ,   Assistant professor, Department of Computer and Information Science, Annamalai University, India.
Published: August 2019

In the rapid development of www the amount of documents used increases in a rapid speed. This produces huge gigabyte of text document processing. For indexing as well as retrieving the required text document an efficient algorithms produce better performance by achieving good accuracy. The algorithms available in the field of data mining also provide a variety of new innovations regarding data mining. This increases the interest of the researchers to develop many essential models in the field of text data mining. In the proposed model is a two step text document clustering approach by K-Means algorithm. The first step includes Pre_Processing and second step includes clustering process. For Pre-Processing the method performs the tokenization approach. The distinct words are identified and the distinct words frequency of occurrence, TFIDF weights of the occurrences are calculated to form a document feature vector separately. In the clustering phase the feature vector is clustered by performing K-means algorithm by implementing various similarity measures.
High Performance Robust Keeper Design Technique for Wide Fan-In Domino OR Logic Using CNTFET 16nm Node Technology
Authors:   Department of VLSI Design and Embedded Systems from Visvesvaraya Technological University (VTU)-India, S. Balaji Ramakrishna , A R Aswatha ,   Department of Science Degree from B.I.T.S. Pilani-India
Published: August 2019

This paper deals with the proposed adaptable threshold keeper&dynamic buffer technique(ATKDB) for CNTFET based wide fan in domino OR logic which simultaneously reduces the average power and propagation delay of the wide fan in logic implementationcompared to various dominogatetopologies.The proposed technique provides adaptable threshold voltage for the keeper transistor by means of a designed body bias generator which drives thebulk of the keeper and there by regulates the power. The design also includes a dynamic buffer at the output node to reduce pre-charge phase power consumption. With this technique, threshold voltage for keeper device is varied dynamically to reduce the contention current and clock loading. The proposed system was tested for 16 and 32 input domino gate using 16nm CNTFET model andthesatisfactoryresults w.r.t power and delay wereobtained.
Robust Power System State Estimator using Projection Statistics for IEEE systems
Authors:   research scholar in Ph.D in JNTU, Hyderabad. India., Kumar Mr. K. Sathish , Banakara Dr. Basavaraja ,   senior IEEE member. He completed his B.Tech (EEE) Degree, Gulbarga University and M.Tech, Karnataka University, India., Ram Dr. B. V. Sanker ,   B.E (EEE) Degree, OU campus and M.Tech, OU campus, Hyderabad, India.
Published: August 2019

In Real-time applications like measurement noise in distributed power system. From model of Gaussian frequently deviates or unknown are obtained and estimated in terms of impulse pulse of noise. Under such situations, the efficiency behavior changes. State estimation (SE) methods which are conventional which have both measured and estimated values with the noise consideration is greatly depleted. In this paper, state estimation methods are used in power systems to reduce the error and noise either in two stages of operation. To achieve a linear property of the estimated output by using adjustment of weights and its measurements. The estimator considers the limits and statistical data with a good efficiency even with and without noise effects and disturbances. Tu understand the behavior of SE methods, IEEE test bench of 14-bus and 30- buses are considered. the results are simulated in MTALAB-SIMULINK environment. Index Terms: Load flow study, IEEE 14 and 30 Bus systems, Statistics, GM-estimator, MATLAB, M file.
Machine Learning Models and Neural Network Techniques for Predicting Uddanam CKD
Authors:   Assistant Professor, Department of Computer Science and Engineering ,Aditya Institute of Technology and Management, Tekkali, Andhra Pradesh , India., Anusha K. B. , Vital Dr. T. Pandu Ranga ,   Associate Professor, Department of Computer Science and Engineering, Aditya Institute of Technology and Management, Tekkali, Andhra Pradesh, India., Sangeeta K. ,   Sr. Assistant Professor, Department of Computer Science and Engineering, Aditya Institute of Technology and Management, Tekkali, Andhra Pradesh, India.
Published: August 2019

Chronic kidney disease (CKD) is one of the most widely spread diseases across the world. Mysteriously some of the areas in the world like Srilanka, Nicrgua and Uddanam (India), this disease affect more and it is cause of thousands of deaths particular areas. Now days, the prevention with utilizing statistical analysis and early detection of CKD with utilizing Machine Learning (ML) and Neural Networks (NNs) are the most important topics. In this research work, we collected the data form Uddanam (costal area of srikakulam district, A.P, India) about patient’s clinical data, living styles (Habits and culture) and environmental conditions (water, land and etc.) data from 2016 to 2019. In this paper, we conduct the statistical analysis, Machine Learning (ML) and Neural Network application on clinical data set of Uddanam CKD for prevention and early detection of CKD. As per statistical analysis we can prevent the CKD in the Uddanam area. As per ML analysis Naive Bayes model is the best where the process model is constructed within 0.06 seconds and prediction accuracy is 99.9%. In the analysis of NNs, the 9 neurons hidden layer (HL) Artificial Neural Network (ANN) is very accurate than other all models where it performs 100% of accuracy for predicting CKD and it takes the 0.02 seconds process time.
Ingenious Techniques for Creation of Smart Cities by Big Data Technology & Urban Modelling Simulation by Matsim
Authors:   (Civil Engineering student at Dr.D.Y. Patil Institute of Technology, Pimpri, Pune., Nayak Shubham.S. , Joshihas Dr.Deepa.A. ,   professor in Civil Engineering at Dr.D.Y. PatilInstitue of Technology, Pimpri, Pune.
Published: August 2019

Ingenious Techniques for creation of Smart Cities by Big Data Technology & Urban modeling simulation by MATSimas the smart cities are on nascent stage in India. The extension of huge information and the advancement of Internet of Things (IoT) innovations have assumed a significant job in the practicality of keen city activities. Enormous information offer the potential for urban areas to get significant bits of knowledge from a lot of information gathered through different sources, and the IoT permits the joining of sensors, radiofrequency recognizable proof, and Bluetooth in reality condition utilizing exceedingly organized administrations. Thus the job of urban reenactment models and their perception are utilized to help territorial arranging offices assess elective transportation ventures, land use guidelines, and natural insurance arrangements. Typical urban simulations provide spatially distributed data about number of inhabitants, land prices, traffic, and other variables for ex- MATSim is an activity-based transport simulation framework designed to simulate large scale scenarios. Such technologies which have been developed in the past few years have proven to be very effective in smart cities of various countries. This project is an attempt to study the feasibility of such modified system, by understanding the implementation of such technologies to improve the existing smart cities and those which are about to become one. This is done by proposing an idea that is by implementing a big data server in the proposed smart city, the data will be collected through smart sensors which will then be sent to server and the mined data will be converted to simplified data for planners, engineers etc. in order to make a economic, self-sustainable & fully automated smart city.
Improving Performance using Relational and Graph Database
Authors:   PG Department of Computer Science, SGBAU, Amravati, Amravati, India., Vyawahare Harsha R. , Karde Dr Pravin P. ,   Department of Information Technology, Government Polytechnic, Amravati, India., Thakare Dr Vilas M. ,   PG Department of Computer Science, SGBAU, Amravati, Amravati, India.
Published: August 2019

Paper Relational database model (also called SQL databases) are one of the prevalent databases that are used with structured data. Currently news demands are arising owing to the magnitude with which the internet and social networks are getting used which brought importance to graph-structured data. Graph database (a nosql database) deal more naturally with highly connected data and are thus becoming popular and efficient choice. Due to limitations faced by relational databases in handling relationships (highly connected data), enterprise information systems find graph database as a promising alternative. According to the form of queries and property of data both relational and graph databases have vitality and flaws. Since most of the data is available in relational schema in this context, the conversion of an application from a relational to a graph format is very beneficial. Thus, this paper develops a dual database system through migration, which unifies the strengths of both relational databases and graph databases. Experimental results have shown that, this hybrid system has efficient performance.
Facial Expression Recognition Complications with the Stages of Face Detection and Recognition
Authors:   Department of ECE, VelTech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai., Deepthi V Hima , Sailaja G ,   Department of ECE, VelTech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai.
Published: August 2019

Facial expressions are the facial changes in light of a man's interior enthusiastic moods, aims, or social interchanges which are investigated by computer frameworks that endeavor to consequently examine and perceive facial movements and facial component changes from visual data. Now and again the facial expression recognition has been mistaken for feeling examination in the computer vision space prompts uncouth backings of acknowledgment process such as face detection, feature recognition and expression recognition in that way bringing about the issues of identifying impediments, enlightenments, posture varieties, acknowledgment, decrease in dimensionality, and so forth. Notwithstanding that, an appropriate computation and forecast of exact outcomes additionally enhances the execution of the facial Expression recognition. Henceforth, a detailed study was required about the strategies and systems utilized for unraveling the issues of facial expressions during the time of face detection, feature recognition and expression recognition. So thepaper displayed different current strategies and afterward basically considered the effort by the different researchers in the area of Facial Expression Recognition.
The Increase in the Effectiveness of Controlling University Activities
Authors:   Doctor of Economic Sciences (Advanced Doctor), Head of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia,, Bulyga Roman P. , Safonova Irina V. ,   Ph.D., associate professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation,Moscow, Russia, Burtseva Ksenia Y. ,   Ph.D., associate professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia
Published: August 2019

This article is based on the characteristics of the control system of the universities in Russia and provides an analysis of existing procedures, forms, and the components of external and internal control. The subjects and objects of control are systematized and the object matrix of the control system of the activities of Russian universities has been developed. The authors offered recommendations on the compilation and use of university ranking, and on the implementation of procedures for the evaluation of university educational program. The implementation of activities proposed by the authors will contribute to the Performance improvement of controlling activities of both Russian and foreign universities.
RBFN Based IPFC for Enhancement of Power System Security
Authors:   Dept. of Electrical Engg., Priyadarshini Institute of Engg. & Technology, Nagpur, India., Dhurvey Dr. S.N. , Chandrakar Dr. V. K. ,   Dept. of Electrical Engg., G. H. Raisoni College of Engg., Nagpur, India., Ashtankar Dr. P.P. ,   Dept. of Electronics & Telecommunications Engg, Priyadarshini College of Engg., Nagpur, India., Rothe Dr. P.R. ,   Dept. of Electronics Engg., Priyadarshini College of Engg., Nagpur, India.
Published: August 2019

Where the information is perverted by extreme noise level, causes complicated relationship between information and its yield. In that case, ANN is well known to solve this dilemma by giving fine result. Now, for specification and fine tuning of parameter, role of RBFN comes into picture. For optimizing the adoptability of the computational operation, Radial basis function (RBF) networks [10] is suggested which reduces execution time by providing more flexibility to identify the dynamic changes. For checking strength of 10-machine system, while designing, two signals: variation in V & variation in Vdc are correlated. Competency of PI controller with RBFN has been analyzed under varying system conditions. Influence of additional suppression controller: POD is designed to get promising results. Recommended intelligent controllers are having proficiency of scrutinizing unique features of IPFC. Feasibility of different controllers subject to a three phase fault are studied and investigated on time domain basis in MATLAB software to verify the effectiveness of each controller.
Corporate Social Responibility and Its Influence on Customer Satisfaction among Students of Selected Private Engineering Colleges in Tamilnadu
Authors:   VIT Business School, VIT, Vellore – 14, India., Priyadarshini V. , Gomathi S. ,   VIT Business School, VIT, Vellore – 14, India.
Published: August 2019

Purpose – The discussionon Corporate Social Responsibility (CSR) in the current scenario is getting special attention in business environment. In India, it is highly speaking since the companies’ act 2013 and its significance highlighted the need for integration of ethical principles in the businesses. Even though the educational institutions and university strived not to make profit from its business, institutions are frequently involved corporate social responsibility practices and contribute more for the society, legal, environment and customers. The aim of the study focused to explore empirically the relationship among the dimensions concerning CSR i.e., Environmental, Employer Employee, Customer, Legal and Societal with customer satisfaction among students of private university in Vellore, Tamilnadu. Design/Methodology – This research is basically an exploratory in nature. In this study the sample of selected private engineering college students inTamilnadu, have been taken to discover the influence of CSR on customer satisfaction. The test of Correlation Analysis have been used to test the hypotheses that is mentioned during the study. Findings – In the current study took the researcher to come up with the conclusion that the dimensions concerning CSR have a concrete relationship with Customer Satisfaction. The study is tested based up on the Test result specified by Pearsons Correlation which falls under -1 to +1 on the results.
Strength and Durability Properties on Fiber Reinforced Concrete by Replacing Fine Aggregate with Stone Powder
Authors:   P.G Student of Structural Engineering, Gudlavalleru Engineering College, Gudlavalleru, Andhra Pradesh, India, Prathyusha S Naga , Swaroop A.H.L. ,   Sr.Gr. Assistant Professor in Civil Engineering, Gudlavalleru Engineering College, Gudlavalleru, Andhra Pradesh, India
Published: August 2019

The goal for taking p this exploration is because of the at that now a days the natural sand affirming to Indian standards is becoming scarcer and costlier because of non-accessibility in time for the reason that law of land, unlawful digging by sand mafia etc… For this reason a motivation has been done to identify a new source of aggregates. The objective of this study is to verify the appropriateness, feasibility &forthcoming utilization of Stone powder for future years. Stone powder is a loss from the quarry preparing units. It accounts 30% of the residue from the quarry industry. Use of stone powder as a replacement of Natural sand reduces cost of construction but also it helps to reduce the wastage of material so it can be give a good impact to the environment. Hence in the current study an attempt has been made on concrete mix of grade M40 by experimenting the strength properties & durability of concrete by replacing Stone powder by 25%, 50%, 75% & 100% to Natural sand and expand the project the addition of steel fibers of 0.5%,0.75% and 1% have done and also the effect of curing of 3% of H2SO4, HCI and Sea water on these concrete mixes are determined by immersing these cubes for 28 days, 90 days in above solutions and respective changes in compressive strength, tensile strength & weight reduction observed and it has been found that the compressive, split tensile strength of concrete made of stone powder increases nearly 17% and 60% with addition of steel fibers. The durability studies show a decrease of nearly 17% in compressive strength.
Engineering and Related Programs’ Teaching Methods in Nigeria
Authors:   Department of Engineering & Technical Education, Universiti Teknologi Malaysia/ Skudai, Johor Bahru, Malaysia, Akor Terungwa Stephen , Subari Kamalularifin bin ,   Department of Engineering & Technical Education, Universiti Teknologi Malaysia/ Skudai, Johor Bahru, Malaysia., Jambari Hanifah bibti ,   Department of Engineering & Technical Education, Universiti Teknologi Malaysia/ Skudai, Johor Bahru, Malaysia., Noordin Muhammad Khair bin ,   Department of Engineering & Technical Education, Universiti Teknologi Malaysia/ Skudai, Johor Bahru, Malaysia., Onyilo Igogbe Regina ,   Department of Engineering & Technical Education, Universiti Teknologi Malaysia/ Skudai, Johor Bahru, Malaysia.
Published: August 2019

The failure of engineering education in Nigeria has been blamed on many factors from various research findings. To have an in-depth view of some of the problems, this study reviewed research findings on the methods of teaching engineering and related programs in Nigerians institutions of learning. The study reviewed articles and theses on teaching methods in Nigeria, skills need of the 21st century and the 4th industrial revolution, and how the existing teaching methods impart the needed skills. The review showed that: the most popular teaching methods of teaching engineering and related programs in Nigeria are lecture method, laboratory experiment, field trip and final year practical project; the skills that the 21st century industry and 4IR demand are critical thinking, innovation and creativity, problem solving, teamwork, life-long learning, and communication skills; the teaching methods employed in Nigeria are not able to impart the needed skills. The researchers, therefore recommended innovative, students centered learning like problem based learning, project based learning, inquiry based learning and well as effective utilization of instructional resources like multimedia, simulations and virtual laboratory for the teaching and learning of engineering, science and technology programs.
Microstructural Evaluation of Friction Stir Welded Aluminium Alloy 6063
Authors:   Department of Mechanical Engineering, Wolaita Sodo University, Wolaita Sodo, Ethiopia., Vaidyanathan R. Muthu , Patel Mahaboob ,   Department of Mechanical Engineering, Wolaita Sodo University, Wolaita Sodo, Ethiopia., Sivaraman N. ,   Department of Mechanical Engineering, Wolaita Sodo University, Wolaita Sodo, Ethiopia., Markos Mebratu ,   Department of Mechanical Engineering, Wolaita Sodo University, Wolaita Sodo, Ethiopia., Alemayehu Tsegaye ,   Department of Mechanical Engineering, Wolaita Sodo University, Wolaita Sodo, Ethiopia.
Published: August 2019

Friction Stir Welding (FSW) is a vital solid-state process that can produce a joint with high quality and strength. The microstructure of the friction stir welded parts needs to be studied to use this method for multiple applications. FSW eliminates fusion fastening issues such as crack, porosity, and shrinking solidification. In the present work, AA6063 material was welded with prominent parameters, rotational speed, transverse speed, and axial load. The microstructure of distinct weld regions including the nugget area, heat affected zone, thermo-mechanically affected zone, and parent metal has been examined by optical microscopy. In this investigation the fine equiaxed grains were observed in the thermo-mechanically affected zone and nugget zone of various samples.
Evaluation of Occupational Exposure To Xylene in Petroleum Workers by Assessing Urinary Methyl Hippuric Acid and Cellular Changes of Exfoliated Epithelial Cells in Buccal Mucosa Smears
Authors:   Post graduate students, Department of Oral Pathology & Microbiology, JSS Dental College and Hospital, A constituent college of JSSAHER University, Mysuru, Karnataka, India., Ayas Mohamad , Doddawad Vidya Gowdappa ,   Associate Professor, Department of Oral Pathology & Microbiology, JSS Dental College and Hospital, A constituent college of JSSAHER University, Mysuru, Karnataka, India., Gurupadayya BM ,   Professor Department of Pharmaceutical Chemistry, JSS College of Pharmacy, A constituent college of JSSAHER University, Mysuru, Karnataka, India.
Published: August 2019

Xylene is an important component of petrol and a widely distributed environmental contaminant. About 98% of Xylene is derived from the petrochemical and petroleum refining industries. When human get expose to xylene, which is one of the major Geno toxicants, may be associated with a range of acute/chronic diseases and cancer still literature is not available. Taking into our mind that occupational exposure to such derivatives may possess genotoxic risk or not. Hence our study aims to investigate and correlate the cellular changes in exfoliated oral epithelial cells oral smears with urinary methyl hippuric acid level estimation in petrol pump workers and to identify the significant role of xylene on oral mucosa. Materials and Methods: Urine samples and oral buccal mucosa smears were collected from 30 healthy individual (control) and 30 petroleum pump workers (case) working in petroleum station who are above 18 years of age. The urine was collected before exposure/work shift and after completion of work shift. The urinary methyl hippuric acid (MHA) level was analyzed by using Shimadzu UV-Visible Spectrophotometer procedure. The smeared slides were stained with PAP stain and analyses the cytomorphometric changes of exfoliated epithelial cells by using Axio Vision SE64 Rel 4.9.1. Ink Software. Results: The urinary Methyl hippuric acid level was substantially higher in cases than in controls (p<0.001). The Micronuclei (MN) frequency was drastically increased in cases than in controls and was statistically highly significant (P<0.0001). The frequency of MN gradually increased along with increased urinary MHA level in petroleum pump workers (case). Conclusion: The urinary MHA level and MN frequency is a useful index to recognize the occupational exposure to the petroleum product. Thus, our study emphasizes that appropriate precaution and regular biomonitoring must be taken among petrol pump workers which shall help to reduce their potential levels of risk associated with the occupation.
Recommender System for Stimulating the Learning Skill of Slow Learner in Higher Educational Institution using EDM.
Authors:   Asst.Professor,Mannar Thirumalai Naicker College, Madurai, India, Lakshmi S.Jothi , Thangaraj Dr.M ,   Professor & Head, Department Of Computer Science, School Of Information Technology, Madurai Kamaraj University, Madurai, India
Published: August 2019

Educational data mining is a prominent area to predict the student learning behaviour. A regular analysis of student learning behaviour is used to improve the quality of the academic institution. This paper focuses on the identification of slow learner in the higher educational institution and showing it by educational data mining model. The student performance data from higher educational institution is taken and applied on the classification algorithm using WEKA tool. A recommender system is developed in this research work to stimulate the learning skills of slow learner.
Design and Analysis of Gate All Around Tunnel FET based Ring Oscillator Circuit
Authors:   ECE Department, FET, Manav Rachna International Institute of Research and Studies, Faridabad, Haryana, India., Dutta Umesh , Soni M.K ,   ECE Department, FET, Manav Rachna International Institute of Research and Studies, Faridabad, Haryana, India., Pattanaik Manisha ,   ICT Department, ABV-Indian Institute of Information Technology and Management, Gwalior, M.P, India.
Published: August 2019

In this work, we have designed and simulated a Gate All Around TFET (GAATFET) based 3 stage ring oscillator circuit and compared its performance with the CMOS based counterpart. The results of SPICE simulations indicate that GAATFET based ring oscillator circuit consumes 3.5 times lower power consumption in active mode than CMOS based ring oscillator. However, 0.43 ns and 0.17 ns of propagation delay is observed for GAATFET based ring oscillator and CMOS based ring oscillator circuit respectively. The obtained output waveform frequency for CMOS based ring oscillator is 2.5 times higher than the GAAATFET based ring oscillator. Further, undershoot is also investigated and it is found that the amplitude of undershoot in case of GAATFET based oscillator is roughly 6.5 times more as compared to CMOS based counterpart. The undershoot and delay observed in case of GAATFET based ring oscillator can be over-shaded by the fact that it has lower active power consumption than the CMOS based ring oscillator. Simulation results signify that GAATFET based ring oscillator can be deployed in future low power VLSI circuits and systems.
Real Time Face Recognition in Group Images using LBPH
Authors:   Department of Computer Science and Engg, Annamalai University, TN, India., Shri S Jothi , Jothilakshmi S ,   Department of Information Technology, Annamalai University, TN, India., Jawaherlalnehru G ,   Department of Computer Science and Engg, Annamalai University, TN, India.
Published: August 2019

Face recognition is a beneficial work in computer vision based applications. The goal of the proposed system is to provide complete face recognitions system capable of working a group of images. The faces are detected and verified the identity of an individual using a machine learning algorithm. The haar cascade detects the face from a group of images for training and testing dataset. The dataset contained positive and negative images for training and testing. The LBPH algorithm recognizes the faces from input images. The proposed system detects and recognizes faces with 98% accuracy.
Functional Monitoring and Control in Electronic Information and Educational Environment
Authors:   Samara State University of Social Sciences and Education, Russia, Dobudko Tatiana V. , Оchepovsky Andrei V. ,   Togliatti State University, Russia., Gorbatov Sergey V. ,   Samara State University of Economics, Russia, Hashim Wahidah ,   Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia., Maseleno Andino ,   Institute of Informatics and Computing Energy, Universiti Tenaga Nasional, Malaysia; Department of Information Systems, STMIK Pringsewu, Lampung, Indonesia
Published: August 2019

The paper deals with the monitoring of the functioning and control of the effectiveness of the use of electronic information and educational environment of higher education. Particular attention is paid to the registration of events and their analysis in the Moodle learning management system from the perspective of the organization of educational interaction and analytical activities of the management. It is noted that the learning management system Moodle can not without additional plugins to provide information about site visitors, traffic sources, load indicators on the system. External tools, such as «Yandex.Metrics». By integrating this information system into the electronic information and educational environment of the University, it is possible to analyze additional statistical data (number and age of visitors, devices used to enter the environment). The obtained information allows not only to optimize the educational process from the position of control over the study of educational material, but also to significantly improve the efficiency, convenience and quality of work of students in the electronic information and educational environment of higher education.
Enhancement of Security and Energy Efficiency in Cloud Computing
Authors:   Research Scholar, Department of Computer Science Engineering, Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur Kalan, Sonipat, (Haryana), India., Kumari Renu , Saroha Vinod Kr. ,   Assistant. Professor, Department of CSE and IT, Bhagat Phool Singh Mahila Vishwavidyalaya, Khanpur Kalan, Sonipat,India., Rana Dr. Sanjeev ,   Professor, Department of Computer Engineering MMCE, MM Deemed University, Mullana, India.
Published: August 2019

This paper focuses on the job scheduling in cloud environment. Here the task has been scheduled in cloud and fog. Cloud provides services to heavy application while fog provides service to lighter application. The job scheduler would be helpful to reduce burden of cloud and help in energy optimization. The jobs are scheduled according to their types and priority. Various job scheduling algorithm such as gang scheduling, FCFS and round robin mechanism have been discussed in this research for load balancing and improve the compilation time. The simulation has been made using Matlab on virtual machines.
Design and Analysis of Air-Cooled Fin and Tube Heat Exchanger with Smaller Diameter Micro Finned Tubes using R32 in Replacement of R410A
Authors:   School of Mechanical Engineering, Dr. Vishwanath karad MIT World Peace University, Pune, India., Dontha Saisugun , Chavan Prof. Dr. Dattatray ,   School of Mechanical Engineering, Dr. Vishwanath karad MIT World Peace University, Pune, India., Barve Dr. Shivprakash ,   School of Mechanical Engineering, Dr. Vishwanath karad MIT World Peace University, Pune, India., Rumde Prof. Sanjay ,   School of Mechanical Engineering, Dr. Vishwanath karad MIT World Peace University, Pune, India., Chokkakula Kishore ,   Research and Development Head (AC), LG Electronics India Pvt. Ltd. Pune, India)
Published: August 2019

Difluoromethane (HFC32) is the perfect replacement of R410A due to its zero ozone depletion Potential and lower Global warming potential (GWP as 675) that is much less than R410A (2088) and Zero Ozone Depletion Potential. R32 refrigerant can achieve higher heat transfer coefficients with less quantity of refrigerant charge when compared to R410A. Fin and Tube heat exchangers (FTHE) are widely used in the refrigeration, air conditioning industries and in many other applications to exchange or transfer the heat from refrigerant or working fluid and to the sink. The aim of this paper is to calculate the Heat transfer coefficient, pressure drop and heat load of refrigerants in Air-cooled Fin and Tube heat exchanger. Here FTHE is used as a condenser in one TR residential air conditioning application and their comparison using R32 and R410A refrigerants. To study the behaviour of two refrigerants in liquid phase, two phase (liquid and vapor phase) and vapor phases inside the condenser. Here the airflow to the condenser is counter flow. Materials used were Aluminium for fins and copper for tubes to achieve greater heat transfer coefficient. Here fin and tube material combination is very important because of their material properties. Optimizing the design of FTHE, i.e. selecting the micro finned tubes to generate turbulence in refrigerant flow, which results in enhancement of heat transfer coefficient. Slit type fin is selected for fins. The micro finned copper tubes with smaller inner diameter can save the material cost. Coil Designer a simulation software used for the design and analysis of FTHE.
Transient Thermal Effect of FRC Incorporated PECC under High Temperature
Authors:   Corresponding author,Assistant Professor (Sr.Grade), Department of Civil Engineering ,Mepco Schlenk Engineering College, Sivakasi-626005, Tamilnadu, India, Jeyanthi J. , Vincent Dr.P. ,   Professor, Department of Civil Engineering, Mepco Schlenk Engineering College, Sivakasi-626005, Tamilnadu, India
Published: August 2019

In this paper thermal behavior of Partially Encased Composite column (PECC) made of Fiber Reinforced Concrete (FRC) has been carried out. Steel wool (SW) and carbon fiber (CF) were used to make fiber reinforced concrete (FRC) specimens. The fiber proportion was varied from 0 to 1%. From the Compressive strength test it was observed that FRC with 0.5%CF-0.5%SW has more strength, to be the best proportion among the tested specimens. Transient thermal analysis of PECC made of FRC was carried out by ANSYS 17.2 The temperature range was considered from 400ºC to 800ºC with a time frame of 30 to 120 minutes, for the time interval of 30 minutes as per ISO 834.From the analysis it was observed that temperature at the core of fibre incorporated PECC was found to be very less i.e. 11ºC to 26 ºC compared to surface temperature of 400 ºC to 800 ºC and slows down the heat transfer from surface to core, made the column for high temperature application.