bluuebunny/crossref_metadata_2025 huggingface dataset:
Experimental of 4S Diesel Engine using Biofuel Blends with Enrichment of C2H2 Gas
Authors:   Department of Mechanical Engineering, Unayzah College of Engineering Qassim University,Qassim51911,SaudiArabia, Basha* M. Shameer , Alsagri Ali Sulaiman ,   Department of Mechanical Engineering, Unayzah College of Engineering Qassim University, Qassim 51911, Saudi Arabia, Pasha Quadri Syed Azam ,   Department of Mechanical Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana,, Raghavendra S. ,   Department of Mechanical Engineering, Lords institute of Engineering and Technology, Hyderabad, Telangana, Ahmed Mohd Yousuf ,   Department of Mechanical Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana,
Published: September 2019

In the present scenario owing to the depletion of fossil fuel and at the same time increase in demand averts the researchers towards the alternative fuel. Various investigation are being carried out to find the most suitable alternate for the fossil fuel in IC engine, which satisfies the demand, improves the performance and decreases the emission. This paper deals with the multi fuel mode. Tests were performed at 4S mono cylinder dual fuel diesel engine with blends of acetylene in different proportions (0.199 kg/hr., 0.394 kg/hr. and 0.588 kg/hr.) with 20% waste cooking oil at a rated injection pressure of 200bar.The result shows the increased in BTE and deceased BSFC and exhaust gas temperature, furtherance the decrease in NOx and CO are observed as the amount of acetylene increases. BTE increases due to the lower auto ignition temperature and high calorific value of acetylene. Graphs were obtained based on the performance of the engine and B20 with 0.394 kg/hr. of acetylene is concluded to be optimum, B20 with 0.199 kg/hr. of acetylene shows the result similar to diesel operation, at B20 with 0.588 kg/hr. of acetylene increase in the knocking effect was observed.
Secured and Efficient Data Transmission in Manets Against Malicious Attack using DSR Routing and BCS Clustering with Hybrid AES-ECC Cryptanalysis
Authors:   Assistant Professor,Department of ECE, Anjali Ammal Mahalingam College of Engineering,Tiruvarur., Murugesan* G. , Padmaa Dr.M. ,   Professor, Department of ECE.Saranathan College of Engineering,Trichy., Nagarajan K. ,   Assistant Professor, Department of ECE,University College of Engineering, Ariyalur., Premkumar N. ,   Associate Professor,Department of IT, Kongunadu College of Engineering & Technology , Thottiyam , Namakkal.
Published: September 2019

Mobile Ad-Hoc Network (MANET) is a self-configuring network of movable nodes linked by wireless creating a random topology. The nodes are free to move randomly. Thus, the networks wireless topology may be haphazard and may alter rapidly. The efficient route is established using Dynamic source routing (DSR) Routing Protocol. The Binary crow search (BCS) algorithm is used for clustering of sensor nodes and maintaining load balancing in an efficient way. Efficient black hole detection using Malicious Node Detection Mechanism-TX/RX (MNS-TX/RX) with optimized routing algorithm is implemented in a secure environment by using Advanced Hybrid Advanced Encryption Standard (AES) cryptanalysis and Elliptic Curve Cryptosystems. Thus “DSR-BCS-HAES-EEC-MANETs” algorithm has precisely detected the black hole node and finds the proper solution for transmitting data for maintaining lifetime and Load- balancing by analyzing performance such as Through-put, routing overhead, packet delivery ratio(PDR), drop, delay and energy consumption in a secure environment.
New Improved Circular -Radial Method for Correction of Misrepresentation in Endoscope Medical Images
Authors:   Research Scholar in Computer Science, Research & Development Centre, Bharathiyar University, Coimbatore, Chennai, India., Sathiya* Mrs.R. , Magal Dr.R.Kalai ,   Associate Professor in Computer Science, Government Arts College for Men (Autonomous), Nandhanam, Chennai, India.
Published: September 2019

Endoscope Medical Images are distress from a spatial misrepresentation due to the wide-angle nature of the endoscope's neutral lens. This change in the size of objects with position prevents numerical measurement of the area of the objects, which is important in endoscopy for accurately measuring sore and wound sizes over time. A method for correcting the misrepresentation characteristic of endoscope images is presented. Circular –Radial correction formula was developed for the endoscope lens and validated by comparing quantitative test areas before and after the misrepresentation correction. The misrepresentation correction has been incorporated into a computer program that could readily be applied to electronic images obtained at endoscopy using a desk-top computer. The research presented here is a key step towards the quantitative determination of the area of regions of interest in endoscopy. In this paper, a model for correction of misrepresentation in endoscope image is proposed. The definition of optical misrepresentation is described briefly and the theory of correction of misrepresentation using Circular Radial consisting of solid circles is presented. Three steps are used for correction, including pre-processing of grid image, correction of spatial misrepresentation and reconstruction of gray level. Finally, the corrected results are given to demonstrate the performance and validity of correction algorithm with standard calibration grid.  Circular –Radial correction formula was developed for the endoscope lens and validated by comparing quantitative test areas before and after the misrepresentation correction.  The research presented here is a key step towards the quantitative determination of the area of regions of interest in endoscopy.  Finally, the corrected results are given to demonstrate the performance and validity of correction algorithm with standard calibration grid.
Electric Energy Storage Solution for Standalone Photovoltaic and Supercapacitor Applications in Rural Areas
Authors:   Student EEE, Gokaraju Rangaraju Institute of Engineering and Technology (JNTU-H), Nizampet, Hyderabad, India., Peram* Swathi , rani V. Usha ,   Assit. Professor EEE, Gokaraju Rangaraju Institute of Engineering and Technology (JNTU-H), Nizampet, Hyderabad, India.
Published: September 2019

Shortage of electricity is the major issue in many areas in the world. This paper discusses a renewable standalone power system to propose the enhanced energy storage by means of Supercapacitor The enhanced storage lowers the energy shortage that gives reliable power supply in rural areas... Maximum power point tracking technique (MPPT) control algorithm is performed over the photovoltaic (PV) as the main energy source to trace the maximum power. Supercapacitor, Battery are the main energy storage devices these are not only energy storage devices which supplies the electrical energy. The system is simulated using the MATLAB/SIMULINK tool with different cases of PV, Battery and super capacitor supply. System modeling, sizing and control are discussed here and Simulation studies are presented in this paper.
Solar Thermal Energy Utilization using Metal Fiber Reinforced Concrete (MFRC) Collector for Producing Hot Water in Sultanate of Oman
Authors:   MIE Department, College of Engineering, National University of Science and Technology, Oman, Hoqani Talal Mohammed Al , Bhambare* Parimal S. ,   MIE Department, College of Engineering, National University of Science and Technology, Oman., Kaithari Dinesh K. ,   MIE Department, College of Engineering, National University of Science and Technology, Oman.
Published: September 2019

Conventional flat plate collectors makes use of a large amount of metals such as Copper, Aluminium and Galvanised iron or steel for the collection and transport of solar thermal energy for useful heat gain. Studies on the energy inputs required for the production of these different materials indicate that a large amount of fossil fuel energy is required for their production at different stages. Absorber plate for conventional FPC requires comparatively more metal when compared to other parts of the system. In the present paper it is replaced using cheap material such as concrete reinforced with waste metal fibres. Three metal fibres namely copper (Cu), mild steel (MS) and aluminium (Al) of average size 3 mm have been added with volume fraction varying from 0.0011 to 0.0068. Thermal conductivity of the metal fibre reinforced concrete increase more significantly with addition of copper, when compared to MS and Al. Plate thickness of 25 mm has been fixed based on collector efficiency factor analysis for flat plate collector of size 2 m x 1 m. Experiments conducted revealed that hot water at 50-60oC at 60 kg/hr with daily average efficiency of 55 – 65 % can be supplied from FPC in winter season.
Automated and Secured Smart Home through FPGA Controller
Authors:   Dept. of Electronics & Instrumentation, Shri G. S. Institute of Technology & Science, Indore India, Parvin* Nikhat , Jain Pramod Kumar ,   Dept. of Electronics & Instrumentation, Shri G. S.Institute of Technology & Science, Indore India, Ajnar Devendra Singh ,   Dept. of Electronics & Instrumentation, Shri G. S. Institute of Technology & Science, Indore, India
Published: September 2019

Now a days everything is becoming smart due to the upgrdation of the technology like smart phones, digital watches, smart city etc., the home automation has become most popular. The smart home is also the part of modern lifestyle. It does make our life more comfortable and easy as well as secured. Also took a look towards security system of home using various sensors buzzers. I this project I would like to work over automated house and the security system of the home. Now a days crime level get increase so I took a glance over it.first of all I have worked on VHDL (hardware descriptive language) and I have code for various sensors like temperature, fire, PIR, and gas sensor and after that I have burn my program into compatible FPGA to the xilinx14.7 and according the requirement of the ports (I/O).then worked over the mentor graphics to generate there layout of the corresponding design using (.vhd) file.
Improved Oct Image Enhancement using Clahe
Authors:   Research Scholar, Department of Electronics and Instrumentation Engineering, Annamalai University, Chidambaram-608002, India, Devi M* Saya Nandini , S Santhi ,   Department of Electronics and Instrumentation Engineering, Annamalai University, Chidambaram-608002, India.
Published: September 2019

Medical image processing is a challenging research field, since most captured images suffer from noise and poor contrast nature. The accuracy of details present in the medical image depends entirely on the captured image quality. The factor that affects the quality of the images includes poor illumination conditions, capturing devices and inexperienced technicians that may result in low contrast images. Hence, contrast enhancement techniques are necessary to improve the quality of OCT images for further processing. In this paper, the enhancement of OCT images is carried out using various enhancement techniques to identify the method that offers improvement in the enhancement quality of the image. It presents a comparative evaluation of enhancement techniques based on the performance indices calculated from the experimental results. The results of this research work suggest the better enhancement technique suitable for OCT images depending on the various performance metrics used prominently in medical imaging.
Predictive Modelling for Quality Prediction and Assurance of Extrusion Blow Molding
Authors:   PG student in Advanced Manufacturing Systems (AMS) from VNR VJIET, Hyderabad, Ramulu* Vongur , Ramana E. V. ,   Professor, Department of Mechanical Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad., Namala Kiran Kumar ,   has done doctoral program from IIT Delhi, post-graduation in production engineering.
Published: September 2019

Extrusion Blow Molding process plays an important role in manufacturing of hollow products with wide variety of materials like polyethylene (PE), polypropylene (PP), polyvinylchloride (PVC). Extrusion blow molded products are rejected due to the occurrence of defects such as die lines, blowouts, shrinkage, over weight of part. The complex relationships that exist between the process variables, and causes of defects are investigated for 1 litre container made of high-density polyethylene (HDPE) using data mining techniques in order to reduce scrap. In this paper Data Mining approach is implemented by applying Decision Tree, k-Nearest Neighbors, Rule Induction and Vote techniques in RapidMiner for quality assurance and prediction of the quality of the extrusion blow molded product.
Failures of Gabion Walls
Authors:   Ph.D. Student, Department of Civil Engineering, Government College of Engineering Pune COEP, India,, Chikute* Ganesh C. , Sonar Dr. Ishwar P. ,   Assistant professor, Department of Civil Engineering, Government College of Engineering Pune COEP, India
Published: September 2019

Retaining wall is an important structure of any infrastructure. Due to research and advancement in Civil Engineering use of new types of retaining walls are very much common in recent construction scenario. Gabion retaining wall is one of the new types of retaining wall. Gabion wall consists of stone filled metallic mesh boxes which are tied together to form a shape of retaining wall. Gabion wall is very much common nowadays due to its simplicity, speedy construction, and flexibility. In spite of massive structure of Gabion wall there are possibilities of Gabion wall failures. Literature review shows that very less information is reported on failures of Gabion wall. This paper focused on defects/ failures observed in existing Gabion walls. Total 11 sites of existing Gabion walls around Pune district (India) are considered for the study. Investigations of these sites are made to identify various defects/failures with possible reasons. Remedial measures to overcome these deflect/failures are also suggested. Such a study will be helpful not only to avoid failures but also to provide a basis for possible research and modifications in the Gabion wall.
Pitch Estimation using Time Domain Algorithm
Authors:   Dept. of Electronics and Telecomm. Engineering, P. V. P. Institute of Technology Budhgaon, Sangli, India., Chavan* Dr. Madhukar S.
Published: September 2019

Speech is classified into voice, unvoiced and silence. The voice speech is the periodic vibration of vocal folds. Background noise affects the speech signals. In many speech applications calculation of pitch plays a major role. The paper proposes a pitch detection algorithm based on the short-time average magnitude difference function (AMDF) and the short-term autocorrelation function (ACF). Detecting the Pitch within the speech signal is important in most of all the speech related applications. Detection of Pitch is useful in identification of speaker. One solution to get detect with the pitch is by using the time domain algorithms. This paper gives idea about estimation and detection of pitch in time domain algorithm for different voice samples.
Modelling of High Frequency SIC MESFET for Optical Sensing Applications
Authors:   taken under graduate 2010 on electronics and communication engineering in JNTUniversity, Anatapur. The master degree completed 2013 on VLSI in Sathyabama university, Chennai, India., Reddy* Boggadi Nagarjuna
Published: September 2019

The analysis and design of fabricated optical GaAs high frequency MESFET model was improved and also majority carrier concentration doping is improved in un flatted channel region. This result was proved with component of photo sensors. The diode voltage is produced at the metal semi conductor rectifying contact and its blocks current flow in one polarity of voltage. The Laplace’s equation is used to solve problematically under the absence of light in a place and interpretation state. This paper main intention is to develop the MESFET using the finite differences method and solve the under illumination. The simulation responses main improvement is bunch of charge particles in optical device, the channel charge particles are varied at various operating voltages and light and also the simulation result was plotted in X and Y direction respect of electric field. In here the simulated and plotted results was analyzed the optical component is purely affected with intensity of illumination.
Intelligent Diagnosis of Cardiac Disease Prediction using Machine Learning
Authors:   received his B.E, M.E amd Ph.D degree specialized in Computer Science and Engineering. Currently he is pursuing his Ph.D degree from Saveetha University, Chennai, Ravindhar* NV , Anand  ,   Saveetha Engineering College and currently working in Saveeetha Engineering College, India, shanmugasundaram Hariharan ,   is with Saveetha Engineering College and currently working as Professor in Saveeetha Engineering College, India, Ragavendran  ,   completed undergraduate B.E(CSE) programme in Saveetha Engineering College affiliated to Anna University, Chennai, India, Winster Godfrey ,   Professor in Computer Science and Engineering department at Saveetha Engineering College, Chennai, India.
Published: September 2019

Cardiac disease have become worldwide common public health issue, mainly due to lack of awareness of health, poor lifestyle and poor consumption. Practitioners may have different concerns when it comes to disease diagnosis, which result in different decisions and actions. On the other hand, even in the specific case of a typical disease the amount of information available is so massive that it can be difficult to make accurate and reliable decisions. With adequate patient and non-patient medical constraints, it is possible to accurately predict how likely it is that a person with heart disease and to obtain potential information from these systems. A mechanized framework for therapeutic analysis would also dramatically increase medical considerations and reduce costs. We developed a framework in this exploration that can understand the principles of predicting the risk profile of patients with the clinical data parameters. In this article, four machine learning algorithms and one neural network algorithm were used to compare performance measurements to cardiac diseases identification. We evaluated the algorithms with respect to accuracy, precision, recall and F1 settings to achieve the ability to predict cardiac attacks. The results show our method achieved 98 percent accuracy by neural network algorithm to predict cardiac diseases.
Validating Simulation Result of Solar Hybrid System for Domestic Consumers using HOMER Software
Authors:   EE Department, GIET University, Gunupur, India., Das* Balaram , Prasad G R K D Satya ,   Department of EEE, GIET University, Gunupur, India. Research Scholar, JNTU, Kakinada, Babu Sai ,   Ch. Professor in EEE Department, JNTUK, Kakinada, India, Sadangi Mrs. Swarna Prabha ,   Graduated from Biju Patnaik University of Technology (BPUT), Odisha, India.
Published: September 2019

Consumption of fossil fuel and its effect on the environment has become a major universal problem. It is therefore necessary to use renewable energy resources (RES) such as solar, wind, etc. to decrease dependency on conventional energy resources. Currently, solar rooftop PV hybrid energy systems are becoming popular to overcome with the disadvantages of conventional energy sources. This paper presents a simulation-based strategy with the help of HOMER software to control the optimum utilization of renewable hybrid energy system for private buildings where it helps to maximize the building’s renewable power ratio and minimizing complete net current costs and CO2 emissions so that it’s a viable solution to address to the power shortage and Greenhouse gas emissions. Finally, manual calculations measured with net-meter are being validated with HOMER software and the results are more accurate with a variation of 1%.
Behavior of Piles with Raft Foundation using Safe Software
Authors:   Assistant Professor, Department of Civil Engineering, REVA University, Kattigenahalli, Yelahanka, Bangalore, Karnataka, India, T.V* Reshma , B S Bhavya ,   Assistant Professor, Department of Civil Engineering,MVJ College of Engineering, Whitefield, Bangalore, Karnataka, India, Mishra Rashmi ,   Assistant Professor, Department of Civil Engineering,REVA University, Kattigenahalli, Yelahanka, Bangalore, Karnataka, India, S S Sankalpasri ,   Assistant Professor, Department of Civil Engineering,REVA University, Kattigenahalli, Yelahanka, Bangalore, Karnataka, India
Published: September 2019

Piles with raft foundation are a hybrid type of foundation in which the loads coming from the super structure is partly shared by the raft foundation and partly by the piles. A G+20 Storey building is analysed and designed in ETABS software. The modelling and analysis of piles with raft foundation is done in SAFE Software by importing the building loads. The storey drift and story displacement of the structure has been studied for the superstructure loads using response spectrum analysis and time history analysis in both X and Y axes. Then behavior of piles with Raft foundation is studied in this work by considering different parameters. The Pile diameter, Spacing of piles, Number of piles, and raft thickness are varied and keeping height of the pile as constant, the behavior of pile with raft foundation is determined. Pile with Raft foundation is economical when compared to a single pile foundation or Raft foundation. In the present work of piled with raft foundation, the load is shared between pile and raft. Hence Soil settlement is gradually reduced when the piles are introduced below the raft. Finally the optimum dimensions of pile diameter and thickness of the raft are obtained for minimum settlement.
Role of It among Multi-Generational Workforce in Banking Sector
Authors:   Professor in OB and HRM, School of Management, KIIT University. Odisha, India, Satpathy (D.Litt)* Dr. Ipseeta , Patnaik Dr. B.C.M ,   Associate Professor, School of Management, KIIT University. Odisha, India, Palai Debajani ,   Doctoral Scholar in KIIT School of Management, KIIT University. Odisha, India
Published: September 2019

Today organizations recruit & retain Multi-Generational Workforce (Age Diversified Workforce) which consists of employees from five different generations having diversified competency. It is always a great challenge for organizations to retain & motivate a Multi-Generational Workforce to achieve their goals & objectives in a competitive era. The growth and development of an age diversified organization depends upon the performance (PFM) level of personnel working in the organization and their PFM level depends upon both ability & adaptability. As banking sector is automated & every activity is done with the help of computers (IT) it is very tough for banks to deal with multi-generational workforce effectively. The banking sector consists of multi-generational workforce who are different in thought, ideology, attitude & perception & they adapt technology differently. Traditionalist, the silent generation is completely resist to accept technology whereas Baby boomers are little bit sound in technology. Similarly Gen-X is technology friendly & uses technology to make work life balance whereas Gen-Y, the tech savvy generation is completely attached with technology & finally Gen-Z the 5G who is more advanced in technology & cannot walk a single step without the help of IT. In India with the introduction of New Economic Policy (NEP), there was enormous change in banking sector. There was enough scope for private sector banks (LPG, policy) which came to be known as “Tech savvy Banks of New Generation”. The introduction of IT paved new wave of automation in banking sector which enhanced performance & at the same time faced challenges regarding adaptability. It is an attempt to study the importance of IT in banking sector & the challenges faced by banks regarding the adaptability of IT as banks lead a multi-generational workforce. The remedial measures are suggested to bring the compatibility of workforce with IT & strategies with the help of which the workforce will attain its goals & objectives & gain competitive advantage. To test hypotheses “Independent t test” have been conducted.
Fine Grained Access Control on Information Retrieval with Collaborative Fusion and Active Feedback
Authors:   Research Scholar, Computer Science and Engineering, Sri Siddhartha Academy of Higher Education, Tumakuru, India., L* Dinesha , S Kumaraswamy ,   Professor, Computer Science and Engineering, Sri Siddhartha Institute of Technology, Tumakuru, India.
Published: September 2019

Enterprise information retrieval is quite challenging than web based information retrieval due to retrieval from heterogeneous distributed data sources and need for higher accuracy in retrieval [17]. In our earlier work, collaborative fusion guided by active feedback is proposed for information retrieval in enterprise environment. Applying three dimensions of user similarity, user-document search history and document similarity, collaborative information fusion based retrieval was proposed in that work However the work did not consider enforcing fine grained access control on the retrieval which is very important requirement in enterprise environment. In this work, fine grained access controlled information retrieval on enterprise environment, with zero leakage assurance thorough direct or inference is proposed. Fine grained access control is ensured with help of CP-ABE. Concept masking is done with CP-ABE and unmasked when user satisfies the query access right criteria.
Preparation of Magneto Electric (Bafe12o19 / Bifeo3) Composites using Sol-Gel Auto Combustion Method
Authors:   Department of Physics, Aditya College of Engineering, Surampalem, Kakinada – 533 437, Andhra Pradesh, India., Packiaraj* G. , Jotania Rajshree B. ,   Department of Physics, University School of Sciences, Gujarat University, Ahmedabad – 380 009, Gujarat, India., Budida Jyothi ,   Department of Physics, Aditya College of Engineering, Surampalem, Kakinada – 533 437, Andhra Pradesh, India., Modi Pankaj Kumar ,   Department of Physics, Patliputra University, Patna-800013, Bihar, India.
Published: September 2019

The coexistence of ferromagnetic and ferroelectric properties in single phase material leads to the existence of new type of material known as magnetoelectric. In present work, magneto electric composites BaFe12O19 / BiFeO3 with different mass percentage of BiFeO3 (0, 25%, 50%, 75% and 100 %) were prepared. BaFe12O19 (BHF) and BiFeO3 (BiF) ferrites were prepared separately using Sol-gel auto combustion method and then physically mixed. Prepared composite samples were characterized using FTIR, XRD, SEM and VSM. XRD spectra reveal the mixed hexaferrite and bismuth ferrite phases. SEM micrograph of showed the formation of porous clusters of non uniform grains in the composites. Saturation magnetization of BaFe12O19 / BiFeO3 composites decreased gradually with increasing in BiFeO3 content and there is no systematic change in coercivity values.
Guide Bracket Optimization and Manufacturing Using Rapid Prototyping
Authors:   Professor and Head, Department of Mechanical Engineering, D. K. T. E. Society’s Textile and Engineering Institute, Ichalkaranji, Maharashtra, India, Naik* Dr. V. R. , Magdum V. B. ,   Assistant Professor, Department of Mechanical Engineering, D. K. T. E. Society’s Textile and Engineering Institute, Ichalkaranji, Maharashtra, India, Borkar A. P. ,   Assistant Professor, Department of Mechanical Engineering, Walchand College of Engineering, Sangli, Maharashtra, India
Published: September 2019

All modern manufacturing units are striving to develop a cost-effective product with optimized reduced weight by using CAE driven design process. In this scenario the product design is stimulated by structural optimization tools like geometrical (topology) optimization, shape optimization or size optimization. For conservation of natural resources and optimum energy utilization, weight reduction has been the main focus of machine tool manufacturers in the current state. Weight reduction can be achieved by the introduction of suitable material, manufacturing processes and design optimization. Geometrical optimization has developed an integral tool of product design and development. Geometry assisted design model gives optimized results which are better and innovative in terms of product design with improved structural performance and stability. Also, rapid prototyping has been used over traditional manufacturing and forming for the pattern making process which helps to reducing material wastage and time associated with tooling. The weight of guide bracket reduces from 2.7kg to 2.0kg. The maximum displacement is reducing from 0.016mm to 0.013mm.
Detection and Validation of Segmentation Techniques for MR Brain Tumor of Glioma Patients
Authors:   Research scholar, ECE, PET-RC, PESCE, Mandya, India., M J Akshath , Sheshadri H S ,   Professor, Dept of ECE, PESCE, Mandya, India.
Published: September 2019

Prediction of brain tumor becomes difficult with respect to the irregular shape, growth, location and volume of the tumor, thus segmentation is highly required for the proper detection of the tumor. Four sequences of MR images like T1, T2, T1 contrast and fluid attenuation inversion recovery (FLAIR) is collected from the BRATS 2015 dataset for the validation of segmentation techniques. In this paper two segmentation techniques like semi-automated active contour and fully-automated expectation maximization (EM) are discussed as both are widely used in the field of brain tumor analysis. The synthetic data obtained is skull stripped and noise free reducing the process time for detecting the tumor. The main objective is to extract the region of interest, validate and improve the accuracy, dice coefficient of the synthetic dataset with the ground truth available. Active contour is an iterative process with the initial contour selected manually and EM works on the probability of the intensity values. The result shows some of the images works better with active contour and some with EM. Time taken is less for EM compared to active contour. Accuracy, dice coefficient, sensitivity is better in EM compared to Active contour. Statistical features and textural features extracted from the above techniques plays vital role for the accurate diagnosis of the tumor. In this context segmentation is vital to further classify images into low grade and high grade glioma’s helping radiologists to accurately diagnose the abnormal tissue growth with effective planning of treatment.
Wireless Sensor Network and Industrial Internet of Things Based Industrial Machinery Control and Noise Detector
Authors:   SEEE, Lovely Professional University, Jalandhar, Punjab, India., Singh Rajesh , SEEE Anita Gehlot ,   Lovely Professional University, Jalandhar, Punjab, India., Sharma Himanshu ,   ECE, UPES, Dehradun, Uttarakhand, India.
Published: September 2019

This paper describes a wireless sensor network and industrial internet of things based Industry machinery control and noise detector, where the using control platform is Arduino, While TCP and IOT is serving as a communication protocol. The function of Arduino is to understand data destination along with the functioning of data to that machine similarly sensors used to take information at their level and fed back for the proper functioning. This paper aims in designing a convenient wireless industry where cabling is not possible. It also has lower installation and maintenance charge for flexible Industry. This paper presents the measurement and reduction of noise from the machines for the betterment of workers.
Proposed Methodology to Investigate the Metro Operation, Socio-Economic Impact, and its Revenue Using Automatic Ticket Machine Outputs
Authors:   Civil Department, Higher Technological Institute 10th of Ramadan city, Egypt (Ph.D. Ain Shams university faculty of engineering), Eldeeb Mai Moaz , kotb Akram soltan ,   construction building, faculty of engineering and technology Arab academy for science, technology and maritime transport, Cairo, Egypt, Riad Hany Sobhy ,   Civil Eng. Dept. Ain Shams University Cairo, Egypt, Ashour Mohamed Ayman ,   architecture Eng. Dept. Ain Shams University Cairo, Egypt
Published: September 2019

Automatic Ticket Machine outputs give the daily passengers’ traffic which entry from any station to exit to all stations in alphabetic arrangements. To utilize these important data for analyzing the phenomena and concluding the important predicted recommendations, a methodology was proposed within the present research paper. This method has the advantage to determine the O-D matrix for the metro passengers using its networks. The proposed methodology can be applicable to analyze, investigate, and predict the metro passenger traffic under different scenarios. To make Automatic Ticket Machine outputs in practices change the Entry- Exit Matrix from alphabetic arrangements into arranged Entry- Exit Matrix according to successive stations. The obtained results concluded the actual operation system on the platform, within the metro doors and into metro cars. In addition to investigate the socio-economic impact for metro stations finally, the corresponding revenue by applying different scenarios for every zone can be predicted.
Online News Feed Data Mining and Prediction
Authors:   software developer at Temenos India Pvt Ltd, Bangalore, India., Garg Arpit , G Poornalatha ,   Associate Professor in the Dept. of Information and Communication Technology, MIT, Manipal, India.
Published: September 2019

Data mining and prediction systems have been the center of attraction since information retrieval came into existence. Most IT companies spend a lot of resources on such analysis and systems to improve their performance and generate more revenue depending on the nature of work that they do. Online News Feed Prediction System aims to provide an analysis and comparison of various prediction techniques by using different methods of implementation. UCI repository contains a collection of databases pertaining to different topics. News popularity in multiple social media is one such dataset containing information about news topics from different sources, sentiment analysis of title and headline, topic that they are related to, publishing date, popularity score in various social media platforms. Python, R and Weka have been used on this data set to implement data preprocessing, visualization and prediction techniques like Random Forest, Decision Tree and SVM. Moreover, there is dataset on the analysis of the score for every twenty minutes for the social media platforms chosen. Analysis on these platforms helps in developing a system to reach a wider audience. News agencies can use this system to increase their profit and visibility. This paper aims to realize the ways to obtain these results.
Traffic Management and Accident Recording and Reporting System for Smart Cities
Authors:   School of Electrical and Electronics Engineering, Vellore Institute of Technology, Vellore, India., C Dhanamjayalu , N Pavan Kumar G ,   School of Electrical and Electronics Engineering, Vellore Institute of Technology, Vellore, India., Sarkar Prerna ,   School of Electrical and Electronics Engineering, Vellore Institute of Technology, Vellore, India., Namboodiri Ashwin ,   School of Electrical and Electronics Engineering, Vellore Institute of Technology, Vellore, India., Varshneya Yash Kant ,   School of Electrical and Electronics Engineering, Vellore Institute of Technology, Vellore, India., Vyshnavi Priya ,   School of Electrical and Electronics Engineering, Vellore Institute of Technology, Vellore, India., G Arunkumar ,   School of Electrical and Electronics Engineering, Vellore Institute of Technology, Vellore, India.
Published: September 2019

Accident deaths are a major problem not only in India but the entire world. Statistics are a proof that far more number of accidents deaths are due to car accidents rather than airplane crash deaths. In this paper, the proposed model aims to solve the problem by establishing an information infrastructure that would help connect the street cameras to the concerned authorities like police and ambulance and provide critical assistance to the victims at the fastest. It has been noticed that most of the car accident deaths in India are due to untimely assistance provide to the victims. The proposed solution best works in the scenario of accident prone areas and would save the high operational costs due to human involvement and provide more objective support. The system serves as an information gateway from the street camera to authorities like the police and hospitals. It detects accidents using image processing and sends an alert to the authorities. An adaptive traffic flow system has been introduced at the junctions and it is based on the traffic density in the lanes.
The Effects of E – Waste Elements and Management Strategies on Human Health in India Using R-Studio
Authors:   Assistant professor, IITM College Janakpuri, New Delhi, India, Jain Dr. Neha , Saxena Dr. Neeta ,   Assistant professor, Amity University Madhya Pradesh, Gwalior, India
Published: September 2019

Electronic equipments contain several venturous silver contaminants like Lead(Pb), Cadmium(Cd), and Beryllium(Be) and brominated flame-retardants. The parts as well as iron, copper, Aluminium(Al), Gold(AU), and alternative metals in e-waste is over hour, whereas plastics account for regarding half-hour and also the venturous pollutants comprise solely regarding two.70%. of the many noxious serious metals, lead is that the most generally employed in electronic devices for numerous functions, leading to a range of health hazards thanks to environmental contamination. Lead enters biological systems via food, water, air, and soil. Youngsters are significantly prone to illness – a lot of therefore than adults as a result of they absorb a lot of lead from their setting and their nervous system and blood get affected. It’s found that the e-waste deployment activities had contributed to the elevated blood lead levels in youngsters living in India, that is one amongst the favoured destinations of e-waste. This was thanks to that undeniable fact that the processes and techniques used throughout the utilization activities were terribly primitive.8 It absolutely was found that e-waste utilization operations were inflicting higher levels of polychlorinated di-benzo-p-dioxins and polychlorinated Dibenzofuran(PCDD/Fs) within the setting moreover as in humans. an outsized range of employees as well as babies ar exposed to totally different disassembly activities of e-waste. though findings of those studies can't be generalized to India however these are enough to alarm and powerfully counsel to be replicating in activity settings in India. There are not any knowledge offered regarding the health implications of those employees. They could be ruin their lives within the lack of applicable information. During this study models for estimation and prediction is given and located the intensity of impacts of the many by-products throughout sorting and utilization of E-Waste by R-Studio.
Boeing Technological Issues and Challenges: Nosedive Strategy
Authors:   MRIIRS Deemed University, NCR Delhi, India., Sarin Prof. Dr. Anil
Published: September 2019

Major aircraft manufacturing companies – Boeing & Airbus based at US & France respectively are in severe competition with each other. Therefore, both the companies tried to develop innovatory technological changes to offer their airplanes with better features and performance. Accordingly, Boeing developed 737 Max with special technical features and claimed on its website this model as its fastest selling airplane. The latest technological changes developed for 737 Max are not known to the industry. In Oct 2018, its first 737 Max crashed killing all the 189 passengers and in Mar 2019, another plane crashed killing 157 passengers. The issues of software with MCA in these planes is being enquired upon as these installations made aircrafts more powerful and aggressive that it nosedived the flight. This paper is about the issues of 737 Max and its future challenges s all 737 Max numbering around 300 have been grounded in all the countries.
Data Pre-Processing and Customized Onto-Graph Construction for Knowledge Extraction in Healthcare Domain of Semantic Web
Authors:   Research Scholar, R&D Centre, CSE Dept., RNS Institute of Technology, Assistant Professor, Dept. of CSE, Dayananda Sagar College of Engineering, Bengaluru, Visvesvaraya Technological University, Belagavi, Karnataka, P Monika , Raju G T ,   Professor, Dept. of CSE, RNS Institute of Technology, Bengaluru, Visvesvaraya Technological University, Belagavi, Karnataka.
Published: September 2019

Present electronic world produces enormous amount of data every second in various formats, especially in healthcare units. To efficiently utilize the available data by representing it in the machine readable form, the concept of Semantic web stepped in progressing towards automated knowledge discovery process. In this paper, comprehensive pre-processing techniques have been proposed for preparing the raw data to be presentable in structured format so as to construct the onto-graph for selected features in a health care domain. Cluster based Missing Value Imputation Algorithm (CMVI) has been proposed to enhance the quality of the imputed data which is the most important step during data pre-processing. Missing values were randomly induced into the Pima Indian Diabetic dataset with the missing ratio of 1%, 3% and 5% for each attribute up to 50% of the attributes in the original diabetic dataset. The experimental observations reveal that the quality of the pre-processed data is better compared to raw, unprocessed data in terms of imputation accuracy measured against coefficient of determination (R2), Index of agreement (d2) and Root Mean Square Error (RMSE).Documented results proved that the proposed techniques are comparatively superior than the traditional approaches with increased R2 & d2 and decreased RMSE scores. Further, importance of knowledge graph and various ontological representation types are discussed in short as construction of .owl file is the first step towards automation in semantic web.
Modified Ant Colony Optimization (ACO) Algorithm for Routing in Vehicular Adhoc Networks
Authors:   Assistant Professor, Department of Computer Science and Engineering, Sasi Institute of Technology and Engineering, Tadepalligudem, Andhra Pradesh, India., Giridhar Koppisetti , Ananth Dr. C Anbu ,   Associate Professor, Department of Computer Science and Engineering, Annamalai University, Chidambaram, Tamilnadu, India.
Published: September 2019

Vehicular Ad hoc Network (VANET) is divided as Mobile Ad-hoc Networks (MANETs) application which comprises the capability to offer Intelligent Transportation System (ITS) and to enhance road safety. VANET has many difficulties that various from instability problem that gives higher topological change and higher energy utilization with many advantages. The main aim to construct a route optimal path technique is to reduce the probability of linkage failure and decrease the node energy utilization within the network. ACO heuristic for vehicle routing is proposed in this paper. In this method mobility prediction is employed for stability of network and to reduce the utilized energy two-tier mechanism is employed by Location Aided Routing (LAR) protocol. The simulation outcomes in Network simulator 2 of the proposed method enhanced the node energy utilization within the network and it takes lower energy.
Characterization of Fabricated FG Pipe with Natural Fiber-Flyash-Epoxy using Centrifugal Casting
Authors:   Department of Production Engineering at Veer Surendra Sai University of Technology, Burla, Odisha, India, Singh Sarmila , Parida Sarada Prasad ,   Department of Production Engineering at Veer Surendra Sai University of Technology, Burla, Odisha, India., Ekka Premananda ,   Department of Production Engineering at Veer Surendra Sai University of Technology, Burla, Odisha, India, Jena Pankaj Charan ,   Department of Production Engineering at Veer Surendra Sai University of Technology, Burla, Odisha, India
Published: September 2019

This research presents the design of fabrication technique for hollow pipe made up of functionally graded materials and its characterization. In the first part, a horizontal centrifugal casting model is designed and developed using CATIA package. After getting an optimized design the fabrication work is performed in workshop. Different powder materials (Banana stem fiber, Jute fiber and Fly ash) are prepared by considering different chemical treatment and physical process. Different powder sizes (300μ, 150μ, 75μ, 53μ, 45μ) are considered to fabricate current functionally graded cylindrical pipe by altering their weight percentage. The different weight percentages (5%, 7.5%, 10%, 12.5%, 15% of Banana stem and 2.5%, 5%, 7.5%, 10%, 12.5% of Fly Ash) of constituents are considered for fabricating FGM cylindrical pipe. By altering the constituent of FGM material composition, twelve numbers of various functionally graded materials (FGMs) pipes are fabricated. In the second part, the material characterization is performed using different testing machines in Laboratories. Mechanical properties (Compression test and Micro hardness test) and physical properties (Density test, Water absorption test and thermal conductivity test) are investigated. Furthermore, the microstructures of the fabricated FGNF pipes are examined using Scanning Electron Microscope (SEM).
Modified Dynamic Hash Table with Threshold RSA for Dynamic and Public Auditing on Cloud Data
Authors:   Department of CSE, Visvesvaraya Technological University, Gulbarga, India., Babu T. Kishore , C D Dr. Guruprakash ,   Department of CSE, Sri Siddharatha Institute of Engineering & Technology, Maraluru, Tumakuru, India
Published: September 2019

Cloud storage is one of the major application in the cloud, which can provide the on-demand outsourcing data service for both organizations as well as individuals. The Data Integrity (DI) check in the cloud is applied by the user to ensure the integrity of data. The Third Party Auditing (TPA) technique is later introduced to check the cloud DI. Many research has been carried out in the public auditing to minimize the computation cost of the integrity check. The most existing method involves in lack of security and low computation overhead. In this research, the Modified Dynamic Hash Table with threshold Rivest, Shamir, and Adelman Algorithm (RSA) algorithm (MDHT-RSA) is proposed to improve the security and reduce the computation cost. The threshold RSA cryptography system increase the security by generating the secret key to the user and reduce the computation cost. The Modified Dynamic Hash Table (MDHT) is used to record the data information for dynamic auditing, which is located in the TPA. The MDHT is differed from the Dynamic hash table, that the MDHT doesn’t contain the tag block whereas the dynamic hash table has the tag block. The MDHT-RSA is analyzed with the computation cost and compared with existing method. The experimental result proved that the MDHT-RSA method has low computation cost than state-of-art method in public auditing. The verification cost of the MDHT-RSA is 1.3 s while a state-of-art method DHT-PA has the 1.35 s for the 200 blocks of data.