bluuebunny/crossref_metadata_2025 huggingface dataset:
Determination of Secant Moduli of Agbelouve Silty Sand Stabilized With Cement Used as a Roadway Layer in Togo
Authors:   Department of Civil Engineering, Engineers High National School of University of Lome, Lome, Togo., P’kla Abalo , Ayité Yawovi Mawuénya Xolali Dany ,   Department of Civil Engineering Engineers, High National School of University of Lome, Lome, Togo.
Published: January 2020

The soil stabilization use is necessary in the presence of lesser quality soils. This stabilization has the effect of modifying the soils properties, in particular the strain modulus. For road dimensioning using rational method, it is necessary to know secant modulus of the soil which is not often done in Togo. In this paper, it is determined the secant modulus at different ages of silty sand stabilized with cement at different rates. For this, specimen of silty sand stabilized with cement at rates of 2.5; 3.5 and 4.5% are subjected to the Modified Proctor test and measurement of compressive strength with strain measurement to estimate the modulus at 7, 28, 60 and 90 days of age. The results show that moduli increase with age and cement rate. From different correlations, we estimate the dimensioning modulus of Agbélouvé silty sand stabilized with cement. These estimated moduli allow saying that the cement rate studied are satisfactory from the modulus viewpoint. This study completes the information on Togolese materials needed for road dimensioning by rational methods.
Scheduling of Machines and AGVs Simultaneously in FMS through Hybrid Teaching Learning Based Optimization Algorithm
Authors:   Department of Mechanical V. R. Siddhartha Engineering, College Vijayawada, Visakhapatnam, Andhra Pradesh. India, Babu Kanakavalli Prakash , Babu Vommi Vijaya ,   Department of Mechanical A.U. College of Engineering, (A), Andhra University, Visakhapatnam, Andhra Pradesh. India, Rao Medikondu Nageswara ,   Department of Mechanical KLEF University, Vaddeswaram , India
Published: January 2020

The most complex problem in FMS is scheduling task, due to this complexity it has created interest among many researchers. Even though FMS scheduling problem was considered earlier, material handling systems like (AGVs) scheduling was not done effectively. As transportation times cannot be neglected in an FMS, a carefully managed and designed material handling system is important in achieving the required integration in flexible manufacturing environment. Hence there is a need for scheduling both the machines and material handling system simultaneously for the successful implementation of an FMS, which makes the scheduling of FMS more complex. Metaheuristic Algorithms are mostly received by the researchers, because of their capability to tackle more complex problems. Hybridization of the metaheuristics may further improve their performance. In the present work a new hybrid metaheuristic Teaching Learning based optimization(HTLBO) is proposed to solve simultaneous scheduling problems.
Performance Improvement of Sensorless Vector Controlled Induction Motor Drive for Medium Power Applications
Authors:   Department of EEE, Pragati Engineering College , Surampalem, India., Satyanarayana K. , Sudhakar K. ,   Department of EEE, Pragati Engineering College , Surampalem, India., Bhavanarayana G. ,   Department of EEE, Pragati Engineering College , surampalem, india.
Published: January 2020

This paper deals with sensorless vector controlled induction motor in which torque pulsations are reduced with improved input of induction motor. In proposed technique two multi winding transformers are used for generation of 18 sinusoidal signals given to rectifier unit and the rectifier output given as input to 9 level multi level inverter. In this proposed technique gating signals to the inverter switches will be provided through space vector pulse width modulation which considers speed as reference. This configuration was simulated in MATLAB/Simulink.and the simulation results are presented here with improvement in reduction of THD.
Local Robust Gradient Patterns for Recognition of Cardiomyopathy
Authors:   PhD Scholar, School of Computer Science Engineering, (SCOPE), Vellore Institute of Technology, Vellore, Tamil nadu, India., Santhoshi P.Megana , Thirugnanam Mythili ,   Associate Professor Senior, School of Computer Science Engineering, (SCOPE), Vellore Institute of Technology, Vellore, Tamilnadu, India.
Published: January 2020

Cardiomyopathy is one of the heart diseases that cause chamber damages. The impact of heart disease ends up in unforeseen fall with light-headedness. IoT plays an important role in human healthcare systems. Through IoT, it's terribly simple to watch the health condition of the heart disease patient by detection the abnormality within the electrocardiogram signal generated by IoT sensors. The varied ECG signals represent the severity of the heart disease and every graphical record signal has distinctive patterns. This paper describes the recognition of cardiomyopathy disease based on local robust gradient patterns technique LBP operator is one of the foremost powerful techniques to recognize the patterns within the ECG graph signals. But it's highly sensitive to noise and little fluctuations. To beat these limitations LTP and its derivatives are applied. LTP operator removes the noise by dividing the signals into 3 regions. It doesn’t provide fruitful results if the signal has an additional range of peaks and valleys. Merely it replaces peaks by the valley and vice-versa. RLTP technique is appropriate to beat this limitation by finding the minimum value of LTP and its complement value. However, it fails for little fluctuation in the signals. To enhance the recognition rate of little fluctuation graphical record signals the discriminant robust local ternary pattern technique is proposed by multiplying the edge gradient values with RLTP techniques. This method is applied to PTB information and therefore the Experimental results are created within the variety of tables and graphs. The proposed technique has high results on the LTP and its derivative methods and is useful for detecting cardiomyopathy with 85% accuracy.
Design and Fabrication of Waste Oil Fired Furnace
Authors:   Department of Mechanical Engineering, Maharaja Institute of Technology Mysore, Mandya,Karnataka, V Navaneeth Kashyap K , S Yashas M ,   Department of Mechanical Engineering, Maharaja Institute of Technology Mysore, Mandya,Karnataka, J Yogesh Kumar K ,   Department of Mechanical Engineering, Maharaja Institute of Technology Mysore, Mandya,Karnataka
Published: January 2020

The study carried out a design and fabrication of an waste oil-fired furnace. The study focused on ensuring a high efficiency in melting of aluminium, by effectively minimizing heat losses, and maximizing heat generation. To achieve this, a composite refractory material consisting of cement, asbestos, and clay was used, and waste oil was splashed which is used as fuel with the help of blower which is running at 3000 rpm and power rating of 1hp. The working pressure of furnace is 5.86 x105 N/m2. Changes in the furnace geometry were negligible indicating a long service life potential. With a useful heat input, the furnace is able to melt aluminium at a pouring temperature of 6600C. The design is considered safe since the working pressure does not exceed the working stress of its casing which is made of mild steel.
Performance of a Water Ionizing Device That Uses Carbon Nanotube for Treating Particulates and Other Pollutants Found in Drinking Water
Authors:   Department of Mechanical Engineering Holy Angel University, Angeles City, Pampanga, Philippines., Manalang Mark Franklin P. , Infante Wilfredo L. ,   Department of Mechanical Engineering Holy Angel University, Angeles City, Pampanga, Philippines., Alonto Al-Shaimah A. ,   College of Science & Mathematics, Mindanao State University, Marawi City, Philippines., Lara Ryan John L. De ,   Graduate School Department, Nueva Ecija University of Science and Technology, Cabanatuan, Nueva Ecija, Philippines., Florencondia Noel T. ,   Graduate School Department, Nueva Ecija University of Science and Technology, Cabanatuan, Nueva Ecija, Philippines.
Published: January 2020

The study was undertaken to verify performance of a commercially available water ionizing device that uses carbon nanotube to treat particulates and other pollutants found in drinking water. Two (2) deep well stations belonging to a local water concessionaire known to have quality issues were considered. Water samples were collected and analyzed for physicochemical, bacteriological and organic parameters such as Total Alkalinity, Bicarbonates, Acidity, Free CO2, Chlorine, Total Hardness, Calcium Hardness, Ca, Mg, pH, Residual Chlorine, Turbidity, TDS, color, Fe, Mn, Total coliform, HPC count and Dieldrin. The device’s performance efficiency in treating the pollutants was calculated. The products’ claims were verified thru actual test results. Results indicate that the device is not working as it should. It has very minimal color, Fe and Mn removal – contrary to the product claims and has zero dieldrin treatment capability. On the brighter side, the device reduced total coliform by an average of 59.67% although HPC count spiked by an average of 1,210%. The obtained results will be useful in optioneering for future treatment technologies for the water concessionaire or similar waterworks.
Implementation of Technology Such As Enterprises Resource Planning ERP Through Integration of Human Capital with Quality using Analytic Hierarchical Process AHP
Authors:   School of Management Studies, Vels Institute of Science, Technology & Advanced Studies, Chennai, India, Kiran P.V.S. , Faisal A. Mohammed ,   School of Management Studies, Vels Institute of Science, Technology & Advanced Studies, Chennai, India.
Published: January 2020

Information technology Such as Enterprises Resource Planning (ERP) supports the processes of electronic human resource management (e-HRM) but it lacks the other factors such human capital and quality in decision making. Human capital is related to the skill and knowledge of employee. Total Quality Management (TQM) is more emphasis on the internal customer that includes the employee within the organization. Human Capital (HC) and Quality can be integrated to improve the quality of the output. Many studies have integrated the Quality with HRM through e-HRM to improve the performances but only a few studies have done for e-HRM with the integration of HC with Quality. The purpose of this study is to implement the e-HRM through the integration of HC with Quality using Analytic Hierarchy Process (AHP). The exploration type of research design to integrate the HC with Quality is analyzed using AHP analysis based on the critical success factors (CSFs). The analysis of AHP is resulted that Employee involvement (EI = 0.234), Training, Education & Learning (TL = 0.234), Quality Measures (QM = 0.146), Performance Appraisal (PA = 0.131) and Quality Factors (QF = 0.096) are selected for implementation of the e-HRM through the integration of HC with Quality. Based on the five CSFs, the conceptual model can be designed for implementation of the e-HRM through the integration of HC with Quality. The conceptual model for implementation of the e-HRM through the integration of HC with Quality needs to be empirically tested.
Intrusion Detection System from External Threats using Data Mining
Authors:   Research Scholar, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research Chennai-600073, India., Parameswari D. , Khanaa V. ,   Dean-Info., Department of IT Bharath Institute of Higher Education and Research Chennai-600073,India,
Published: January 2020

Network Intrusion Detection is a significant apparatus to distinguish and examine security dangers to a correspondence arrange. It supplements other system security procedures, for example, firewalls, by giving data about the recurrence and nature of assaults. A system interruption discovery framework (NIDS) frequently comprises of a sensor that examines each bundle on the system under perception, and advances the parcels which are considered fascinating, together with an alarm message to a backend framework, that stores them for further examination and relationship with different occasions. The assessment procedure of the MAC address contrasted with the CADL is improved and streamlined with the help of the J48 choice tree calculation. The pursuit procedure is completed in the created arrangement esteem through tree based characterization.
An Efficient PET-MRI Medical Image Fusion based on IHS NSCT PCA Integrated Method
Authors:   Department of EC, NMAM Institute of Technology, Nitte, Karnataka, Udupi, India., K Padmavathi , Karki Maya V ,   Department. of EC, Ramaiah Institute of Technology, Bengaluru, Karnataka, India.
Published: January 2020

Merging of multiple imaging modalities leads to a single image that acquire high information content. These find useful applications in disease diagnosis and treatment planning. IHS-PCA method is a spatial domain approach for fusion that offersfinestvisibility but demands vast memory and it lacks steering information. We propose an integrated approach that incorporates NSCT combined with PCA utilizing IHS space and histogram matching. The fusion algorithm is applied on MRI with PET image and improved functional property was obtained. The IHS transform is a sharpening technique that converts multispectral image from RGB channels to Intensity Hue and Saturation independent values. Histogram matching is performed with intensity values of the two input images. Pathological details in images can be emphasized in multi-scale and multi-directions by using PCA withNSCT. Fusion rule applied is weighted averaging andprincipal components are used for dimensionality reduction. Inverse NSCT and Inverse IHS are performed so as to obtain the fused image in new RGB space. Visual and subjective investigation is compared with existing methods which demonstrate that our proposed technique gives high structural data content with high spatial and spectral resolution compared withearlier methods.
Non Invasive Method to Diagnose Lung Energy of the Smoking Population
Authors:   Department of Biomedical Engineering, SRM Institute of Science and Technology, Kattankulathur-603203, India, Anitha G. , Rakesh S. ,   Department of Biomedical Engineering, SRM Institute of Science and Technology, Kattankulathur-603203, India, Arunachalam R. ,   Department of Biomedical Engineering, SRM Institute of Science and Technology, Kattankulathur-603203, India., Sudharsanam R. ,   Department of Biomedical Engineering, SRM Institute of Science and Technology, Kattankulathur-603203, India., Muthu P. ,   Department of Biomedical Engineering, SRM Institute of Science and Technology, Kattankulathu- 603203, India.
Published: January 2020

Smoking is an activity where toxic content which on fire produces smoke which can be detrimental if inhaled and mixed into the blood flow. Smoking is one of the key factors for death globally. On an average masculine and feminine smoker suffer about 13.2 and 14.5 year lifetime variation when compared to non-smoking individual. Most of the individuals who smoke regularly has higher prevalence of stroke, eye cataracts and cancer of nose, lips, tongue and mouth. The fact that 22.1% of masculine smoker and 11.9% of feminine smoker has a huge risk of dying due to lung cancer before age 80. The smoking generally has a adverse effect in its later stage and the diagnosis is generally invasive. There is a need for an early and non invasive diagnosis method for finding the adverse effects of smoking. Biowell is one such non invasive device to find psycho emotional status, Energy distribution and functional status of different organ. By using GDV based energy detection and health status analysis we can differentiate the damage caused to the brain and other major parts like Lungs, Nerve and Thoracic region. Smoking populations along with non smokers are taken and energy distribution and health status are collected, analyzed to prove the efficiency of Biowell instrument as a standard diagnostic tool.
Determine Variables to Build Organizational Commitment
Authors:   Character Building Development Center, Mass Communication Program, Communication Department, Faculty of Economics & Communication, Bina Nusantara University, Jakarta, Indonesia, Benawa Arcadius
Published: January 2020

This research aims to obtain information related with variables which can build organizational commitment of teachers at SMP (Middle School) Marsudirini in Jakarta, Bogor, and Bekasi. This research used a survey method by distributing questionnaires to teachers. This research was conducted because organizational commitment of the teachers should not be assumed to exist just like that but it must be managed its sustainability related to some variables that affect the quality of organizational commitment of the teachers so that schools have to maintain the quality and benefits for the stakeholders.The data obtained were analyzed and the result showed that the determine variables to built organizational commitment were organizational culture, leadership, work environment, and trust. From the path analysis indicated that these variables had a significant direct effect on organizational commitment. The conclusion is these variables must be built in such a way as to get the idealized organizational commitment of the teachers.
Encryption And Decryption of a Message Involving Byte Rotation Technique and Invertible Matrix
Authors:   Research Scholar, Department of Computer Applications (MCA) SRK University, Bhopal, India., Mandle Amit Kumar , Namdeo Varsha ,   Associate Professor, Department of Computer Science Engineering, SRK University, Bhopal, India.
Published: January 2020

The aim of this paper is to introduce a new encryption algorithm involving byte rotation and invertible matrix. In the proposed algorithm firstly we apply byte rotation to get an intermediate cipher and then applying the invertible matrix (modulo 27), which gives the final cipher text. Using secret key matrix along with congruence modulo, the message can be encrypted and decrypted perfectly.
The Influence of the Independent Board of Commissioners on Financial Performance
Authors:   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia, Meiryani  , Isa Sani Muhammad ,   Computer Science Departement, BINUS Graduate Program-Master of Computer Science, Bina Nusantara University, Jakarta 11480, Indonesia
Published: January 2020

Financial performance is a view of a capable economic outcome achieved by the company at a certain time through activities company. Financial problems are one of the most vital problems for companies in business development in all companies. The company's ability to generate profits is the key to the company's success to be said to have good company performance. This study explains the phenomena of the quality of financial reporting and good corporate governance mechanisms, namely the composition of the independent board of commissioners. The total population of big cap companies is fifty companies and those who meet the criteria for the sample are thirty-two companies. This type of research is causal research. The method of analysis in this study uses path analysis to examine the causal relationships between exogenous and endogenous variables. The results showed that the composition of the independent commission's board of influence on financial statements.
Impact of Retention of Slump on Growth of Ready Mixed Concrete
Authors:   Department of Civil Engineering, CMR Technical Campus, Medchal, India., Nagaraju A. , Kumar P. Sandeep ,   Department of Civil Engineering, CMR Technical Campus, Medchal, India., Meena M. ,   Department of Civil Engineering, CMR Technical Campus, Medchal, India., Reddy S. Vijaya Bhaskar ,   Department of Civil Engineering, CMR Technical Campus, Medchal, India.
Published: January 2020

In these days the Ready Mixed Concrete (RMC) plants were giving a back bone support for construction and concrete industries. As the infrastructure increases, concrete demand also increasing proportionately due to huge benefits of concrete, consequently, number of ready mixed concrete plants were also increase proportionately to supply the concrete according to the demand. Those who are fed up with the site mixing and environmental problem associated with them, they are opting for RMC. The growth of RMC is increasing from metropolitan cities to villages. One of the key factors for the growth of RMC is retention of slump till reach the construction site by using super plasticizer. In the present study, the growth of RMC industry from 1990’s in India was presented. An experimental study was done on Slump retention capacity of concrete with fly ash, GGBS and lime Stone powder with 0.4% of admixture dosage.
Performance Analysis of Acquisition Algorithms for Navic
Authors:   Associate Professor, Department of ECE, Chaitanya Bharathi Institute of Technology (CBIT), Hyderabad, India, Manga N. Alivelu
Published: January 2020

Indian Regional Navigation Satellite System (IRNSS), is an indigenous navigation system designed and developed by ISRO (Indian Space Research Organization).It is named as NavIC, Navigation with Indian Constellation by Indian Prime Minister. NavIC is designed to have seven satellite constellation that provides reliable position, navigation and timing services over India. The focal modules of NavIC receiver are acquisition, tracking and navigation unit. Among them, acquisition is the data processing unit for detecting satellite signals and their corresponding code phase and carrier frequency. In this paper, various acquisition algorithms like Serial search and Parallel Code Phase search algorithms are analyzed and compared with Cooley-Tukey FFT algorithm and sub-sampled Fast Fourier transform (ssFFT).The results obtained in MATLAB shows that the acquisition computation time for ssFFT based NavIC receiver is faster than parallel FFT acquisition and the Cooley-Tukey FFT IRNSS acquisition algorithm is faster and provides better code phase and carrier frequency values compared to serial search acquisition algorithm.
11 level Multilevel Inverter for Medium Voltage High Power ID and FD Fan Drives in Power Plant
Authors:   B.Tech, Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Pranav B. V. , Mohana Y. ,   B.Tech, Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Reddy Mule Sai Krishna ,   Asst.Professor, Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Reddy K.V. Siva ,   Asst. Professor, Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India., Teja S. Ravi ,   Asst. Professor, Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India.
Published: January 2020

Multi-level inverter technology has emerged recently as a very important alternative in the area of medium-voltage high-power energy control such as ID and FD fans which runs with the help of these megawatt power drives and renewable energy integration to grid such as solar energy integration which requires pure sinusoidal voltage with less than five percent THD to synchronize to grid. For the requirement of large voltage sources(DC) in number, reduced electromagnetic interference, utilization of power electronic devices having less voltage blocking capability, less percentage of total harmonic distortion in output voltage, reduced stress on insulation they are mostly used. Various topologies are used for multilevel inverters. Among them the most commonly used is cascaded H-bridge (multi-cell). A 3-phase 11-level reduced H-bridge topology is proposed and is controlled by level shift carrier PWM in this paper. The considered topology and controlled algorithm is implemented in MATLAB/SIMULINK. The simulation results show a reduction of THD to a greater extent which will be useful in renewable areas and mega watt power drives.
Traffic Creation for E-Wallet through Gamification Strategy
Authors:   Associate Professor, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai (Tamil Nadu) India., Seranmadevi R. , Felisiya M. ,   Associate Professor, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai (Tamil Nadu) India.
Published: January 2020

Electronic Wallet vendors are the financial service providers to the customers using software known as an ‘App’. Many customers feel more comfortable with cash free transaction as they always have a fear of insecurity to carry huge money, however every time the customer try to make purchases, they have to login, either by net banking or cards in order to complete the overall transaction. Many Electronic Wallet vendors expect huge traffic, frequent usage and customer loyalty towards their app. The gamification is emerging in e-commerce and the banks are looking for new ways to get more customers on their websites. In order to fulfill their expectation, Electronic Wallet vendors merge with ecommerce and design their app integrating gamification concept in such a way that the customers often transact and get satisfied with this application and it will reduce such huge process of net banking and make the customer to get engaged on their app. Therefore, it is important to study what are the most appreciated features of the website that could influence the behavior of the customer to use an electronic banking system with gaming features. Gaming techniques in Electronic Wallet app emerged as a dominant strategy in the digital payment space. E-commerce players and Electronic Wallet vendors have to make easy guidance, incentivize, and personalized experiences to the customers in order to achieve maximum conversions.
Process Optimization and Influence of Micro Structural Characterization by Friction Stir Welding of Various Materials
Authors:   Asst Prof, Department of Mechanical Engineering, Rao Bahadur Y. Mahabaleshwarappa Engg College Ballari, Karnataka, India, C Mahendra K , G. Sreenivasa C. ,   Associate Professor, Department of Mechanical Engineering, UBDTCE, Davangere. Karnataka, India., Algur Veerabhadrappa ,   Associate Professor, Department of Mechanical Engineering, Rao Bahadur Y. Mahabaleshwarappa Engg College Ballari, Karnataka, India., H Virupaksha Gouda ,   Asst Prof ,Department of Mechanical Engineering Rao Bahadur Y.Mahabaleshwarappa Engg College Ballari, Karnataka, India.
Published: January 2020

Various advanced joining techniques are available now days to suit the process challenges and to connect the specific application areas of industrial sector. Several experimental investigations on mechanical characteristics of different materials along with process parameters are successfully joined and evaluated. Friction stir welding (FSW) defines a solid state bonding operation, which uses a non-consumable tool to join the workpiece material. Friction stir welding technique can be applied to weld the similar and dissimilar materials including ferrous, nonferrous and polymers to develop sustainable byproduct. Industrial applications in the fields of automobiles, aerospace are expecting the techniques to join various combinations of materials for lightweight and improved performance from engineering designs that ensures the fulfillment of current challenging desires. As the research intensifies into wider aspects like obtaining suitable material combinations to attain the objective of reduced weight and also to satisfy applications aspects, friction stir welding gave perfect platform to exhibit newer material integration. Objective of this paper is to research and analyze the influence of critical parameters through FSW. In this direction, review based on process based methodology of different materials combinations like ferrous materials, non-ferrous materials and dissimilar material has been focused. Welding parameters influencing the FSW operations and their effect on mechanical properties in the respective categories of material pooling has been indicated. Tensile test, hardness inspection, macro and microstructural evaluations of subjected materials have been highlighted in this section. This suggest with further recommendations that FSW can also be applied effectively in case of polymeric materials in continuance of research domain.
Segmentation of Neonatal Brain using MR Images in an Efficient Manner
Authors:   Ph.D Research Scholar, Jain Deemed To Be University, Bangalore,India, Shashi Puja , R Suchithra ,   Associate Professor, HOD MSC IT, Jain Deemed To Be University, Bangalore, India.
Published: January 2020

Image analysis using updated technology of magnetic resonance for finding, measuring and studying various tissue related structure of brain and thus discovering its medical region is an important application of segmentation process. In order to analyze the specific regions of brain, brain image segmentation plays a significant role for researchers and clinicians. In this work, we make an attempt to design an efficient segmentation model of neonatal brain MRI images of preterm infants. Initially, the dataset is collected from an eminent public repository that composes of numerous training and testing datasets. The proposed framework comprises of six phases, viz, pre-processing using FANFMF, Contrast enhancement using AAIHE, Feature extraction using PBDLFL, Affinity information using SCMMAL, Dictionary creation using DCAD and clustering using SSMLC. The main aim of this paper is to increase segmentation accuracy in the given MR images. The extraction of local features is a complex task which is simply achieved by the proposed PBDLFL via DCAD. The formation of selfsimilarity map from the probabilistic dictionary creation helps for better segmentation process. Finally clustering based segmentation process using SSMLC algorithm is used that that helps in decreasing uncertainty and sparsity of data so that an efficient diagnosis system can be obtained. Segmentation process that is proposed in this paper can be proved as accurate and efficient by various experimental result.
Soil Structure Interaction Effects on R C Structures Subjected to Dynamic Loads
Authors:   Assistant Professor, Raghu Engineering, College, Visakhapatnam, India., Chaitanya I. Krishna , D Balaji K.V.G. ,   Registrar GITAM (Deemed to be University), Visakhapatnam,India., Kumar M. Pavan ,   Associate Professor, Department of Civil Engineering, Sanketika Vidya Parishad Engineering College, Visakhapatnam, India., Sudeepthi B. ,   Assistant professor, Department of Civil Engineering, Raghu Engineering College Visakhapatnam, India.
Published: January 2020

From the past studies, every engineering structure was designed to withstand all external and internal forces applicable to the structure. For this many design methods are implemented and different techniques are found manually, experimentally and practically. One of the parameters which influence the analysis results is, support condition of the structure. Assuming fixed or pinned support in regular analysis of structure considering soil interaction with foundation may not produce accurate results as support condition differ by type of soil ie., loose, medium or hard & their characteristics. So, there is need to study about structural interaction with soil and their outcome deeply. Now a day’s soil structure interaction studies are playing major role in the analysis & design of structures. Many studies are carried out on structure interaction of soil considering seismic or lateral forces. This paper reviews the studies carried out on structural interaction with soil and its impacts on various reinforced concrete buildings subjected to dynamic loads.
Content Based Movie Scene Retrieval using Spatio Temporal Features
Authors:   Department of Computer Science and Engineering, Graphic Era deemed to be university, Dehradun, India., Kumar Vidit , Tripathi Vikas ,   Department of Computer Science and Engineering, Graphic Era deemed to be university, Dehradun, India., Pant Bhaskar ,   Department of Computer Science and Engineering, Graphic Era deemed to be university, Dehradun, India.
Published: January 2020

Thousands of movies along with TV shows, documentaries are being produced each year around the world with different genres and languages. Making a movie scene impactful as well as original is challenging task for the director. On the other hand, users demands to retrieve similar scenes from their queries is also challenging task as there is no proper maintenance of database of movie scene videos with proper semantic tags associated with it. So to fulfill the requirement of these two (but not the least) application areas there is a need of content based retrieval system for movie scenes. Content based video retrieval is a problem of retrieving most similar videos to a given query video by analyzing the visual contents of videos. Traditional video level features based on key frame level hand engineered features which does not exploit rich dynamics present in the video. In this paper we propose a Content based Movie Scene Retrieval (CB-MSR) framework using spatio-temporal features learned by deep learning. Specifically deep CNN along with LSTM is deploy to learn spatio-temporal representations of video. On the basis of these learned features similar movie scenes can be retrieve from the collection of movies. Hollywood2 dataset is used to test the proposed system. Two types of features: spatial and spatio-temporal features are used to evaluate the proposed framework.
Methods of Landslide Detection using GIS and Remote Sensing Images
Authors:   Ph.D Scholar, Department of Electronics and Telecommunication, Sipna college of Engineering and Technology, Amravati, India., Varangaonkar Payal , Rode S. V. ,   Department of Electronics and Telecommunication, Sipna college of Engineering and Technology, Amravati, India.
Published: January 2020

The most challenging and damaging natural disaster is the landslides around the mountainous terrain especially in the western and northern regions of India. The landslides lead to several damages in terms of socio-economic impacts, thus it gains significant researcher's attention since from the last two decades to study and early prediction of landslides. The automatic and accurate landslide detection and localization become essential to suppress the socio-economic impacts with help using sensing remote images & Geographical Information System (GIS). Nowadays remote sensing images provide useful information combined with the GIS environment related to the spatial factors that are influencing the landslide occurrence. The fundamental prerequisite for the landslide prediction using GIS is landslide inventory. In India, the satellite images collected using remote sensors such as LANDSAT ETM+, ASTER, IRS P6, etc. to form the landslide information over the parameters like aspect, slope, drainage density, relative relief, etc. Thus using the remote sensing images, the monitoring of landslide introduced. The landslide prediction using the remote sensing images however suffered from the various challenges. This paper presents the systematic review of various landslide prediction and localization methods using the remote sensing images and GIS information regardless of the study areas. The comparative analysis and the current research challenges for designing the automated landslide detection framework discussed based on the literature review.
Soft Skills and Positive Attitude : Science of Bridging Gap
Authors:   Research Scholar, Amity Institute of Education, Amity University, Noida, (U.P) India., Gupta Suman , Shukla Neetu Mishra ,   Asst. Professor III, Amity Institute of Education, Amity University, Noida, (U.P) India., Kumar Indu Babra ,   , Professor, Head, Department of ICT & Training Division, CIET, NCERT, New Delhi, India
Published: January 2020

Soft skills are those essential traits and expertise that must be acquired by every person to be successful in life. These abilities, traits or skills are also most popularly called people’s skills and in recent times, also known as twenty first century skills. It is proven that the hard skills or the academic or professional qualifications maybe an inevitable component of any kind of employment or job placement but the success of a person depends upon the soft skills he has. Research has shown that attitude of the pupils and development or enhancement of these skills is correlated. The attitude is different in each individual and therefore the real life application of these skills is also varied. The study undertaken endeavours to find out the correlation between the positive attitude and negative attitude of the students towards soft skills and the real life application of it.
Implementation of Supervised Learning towards Optimizing Queries in Database Systems
Authors:   Wroclaw University of Economics and Business, Poland,, Polkowski Zdzislaw , Anita Mohanty ,   Department of Computer Sc. & Engg., Ajay Binay Institute of Technology, Cuttack, Affiliated to Biju Patnaik Uniersity of Technology, Rourkela, Odisha, India,, Kumar Mishra Sambit ,   Department of Computer Sc. & Engg, Gandhi Institute for Education and Technology, Baniatangi, Affiliated to Biju Patnaik Uniersity of Technology, Rourkela, Odisha, India,
Published: January 2020

Machine learning is a technology which with accumulated data provides better decisions towards future applications. It is also the scientific study of algorithms implemented efficiently to perform a specific task without using explicit instructions. It may also be viewed as a subset of artificial intelligence in which it may be linked with the ability to automatically learn and improve from experience without being explicitly programmed. Its primary intention is to allow the computers learn automatically and produce more accurate results in order to identify profitable opportunities. Combining machine learning with AI and cognitive technologies can make it even more effective in processing large volumes human intervention or assistance and adjust actions accordingly. It may enable analyzing the huge data of information. It may also be linked to algorithm driven study towards improving the performance of the tasks. In such scenario, the techniques can be applied to judge and predict large data sets. The paper concerns the mechanism of supervised learning in the database systems, which would be self driven as well as secure. Also the citation of an organization dealing with student loans has been presented. The paper ends discussion, future direction and conclusion.
Non Invasive Method of Diabetes Measurement using Teg Sensor via Foot Skin Temperature
Authors:   Department of Electronics Instrumentation Engineering, Saveetha Engineering College, Chennai, Tamil Nadu, India., Ganesan R.
Published: January 2020

Diabetes is a type of metabolic dieses identified by unstable blood glucose level due to the defect in body to generate or use of insulin. Diabetes is created due to the defect in metabolism of converting the glucose to energy in blood. Hyperglycaemia is a stage were glucose value in the body is greater than 140 mg/dl which leads to type 1 diabetes for the patient. Type 1 diabetes is caused due to lack of generation of insulin in human blood and type 2 diabetes is caused due to resistance to insulin action which leads to several other diseases like foot ulcer and sever wounds in human foot or other parts of the body. Early diagnosing of diabetes disease plays an important task in improving the standard of healthy living. Traditional methods of identifying diabetes does not provides effective results and the results are not more reliable. Temperature based diabetes diagnosing model is defined using TEG sensor to analyse the heat changes in human foot. Imbalanced glucose level affects the performance of nerves system which leads to slower response for temperature change in the foot surface. TEG sensor is used to measure the heat transfer in foot by applying cold water over foot. The rate of temperature changes in foot represents the level of diabetes caused in the patient body. The signals from TEG sensor was collected and processed using signal analysis algorithm using MATLAB software.
Productive and Security in Remote Sensor Network using SNR
Authors:   Assistant Professor Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation situated, Vaddeswarm, India., Shama Sk. , Inuganti Yashwanth ,   Department of CSE Bachelor of Technology, Koneru Lakshmiah Educational Foundation, Andhra Pradesh, India., Bhavana M. B. ,   Department of CSE Koneru Lakshmiah Educational Foundation, Andhra Pradesh, India., Jagapathi A. ,   Department of CSE Bachelor of Technology, Koneru Lakshmiah Educational Foundation, Andhra Pradesh, India.
Published: January 2020

Remote Sensor Networks is presently generally spread the nation over. This contraption faculties and screens the physical state of our condition and assembles every one of the information gathered at a focal area called sink. The contribution to this contraption is the physical conditions and changes over it into electrical sign A collection of spatially distributed and dedicated sensors als o known as wire less sensor network, the hubs in the system have a restricted transmission, less vitality and less space. So to improve this we use grouping methods to give an effective method to build the lifetime of a WSN hence we are utilizing Signal to Noise Ratio (SNR) based bunching instrument This plan proposes an Efficient and Secure Routing Protocol for Wireless Sensor Networks through SNR-based Unique Bunchin g (ESRPSDC) that can isolate the sensor hubs into a few meeting s called as groups where one hub will be group head (CH) and n on-cluster head (NCH) adherents. These supporters will detect and gather the information and the information will be sent to group head. The bunch head will at that point send the information to the sink. We need group heads on the grounds that the hubs can't straightforwardly send information to the sink in view of less vitality.
Calculation of Exergy Destruction of Various Components by Performing Exergy Analysis on Stage-I of Dr. Narla Tatarao Thermal Power Station N.T.T.P.S
Authors:   Mechanical Department, Andhra Loyola Institute of Engineering, Technology, Vijayawada, (A.P.) India., Varun N Naga , Reddy T Subba ,   Mechanical Department, Andhra Loyola Institute of Engineering, Technology, Vijayawada, (A.P.) India., Kumar T L Prasannna ,   Mechanical Department, Andhra Loyola Institute of Engineering, Technology, Vijayawada, (A.P.) India., Mithra S P Krishna ,   Mechanical Department, Andhra Loyola Institute of Engineering, Technology, Vijayawada, (A.P.) India., Reddy M Srinivasa ,   Mechanical Department, Andhra Loyola Institute of Engineering, Technology, Vijayawada, (A.P.) India.
Published: January 2020

For any nation to develop power generation plays a crucial role. The performance of a power plant is analyzed by using the Energy balance and it is done by using the first law of thermodynamics. But to know how much energy is being utilized in reality exergy analysis has to be performed which is also called as second law of thermodynamic analysis because the vital parameter quality is being considered in the exergy analysis. this paper deals with the exergy destruction calculation by performing exergy analysis for various components for a 210 mw plant of Vijayawada thermal power station(stage-1 unit-1) and from the analysis it is clear that exergy destruction is more in condenser
DetectioniofiTruthiDiscoveryi nBigiDataiSocial iMediaiSensingiApplications
Authors:   M.Tech Student, Dept. of CSE, Chadalawada Ramanamma Engineering College, Tirupati, India., Naidu A Hemadri , Muneiah J Naga ,   Head Department, of CSE, Chadalawada Ramanamma Engineering College, Tirupati, India.
Published: January 2020

With ithe irapid igrowth iof ionline isocial imedia iand iubiquitous iInternet iconnectivity, isocial isensing ihas iemerged ias ia inew icrowd isourcing iapplication iparadigm iof icollecting iobservations i(often icalled iclaims) iabout ithe iphysical ienvironment ifrom ihumans ior idevices ion itheir ibehalf. iA ifundamental iproblem iin isocial isensing iapplications iliesiin ieffectively iascertaining ithe icorrectness iof iclaims iand ithe ireliability iof idata isources iwithout iknowing ieither iof ithem ia ipriori, iwhich iis ireferred ito ias itruth idiscovery. iWhile isignificant iprogress ihas ibeen imade ito isolve ithe itruth idiscovery iproblem, isome iimportant ichallenges ihave inot ibeen iwell iaddressed iyet. iFirst, iexisting itruth idiscovery isolutions idid inot ifully isolve ithe idynamic itruth idiscovery iproblem iwhere ithe iground itruth iof iclaims ichanges iover itime. iSecond, imany icurrent isolutions iare inot iscalable ito ilarge-scale isocial isensing ievents ibecause iof ithe icentralized inature iof itheir itruth idiscovery ialgorithms. iThird, ithe iheterogeneity iand iunpredictability iof ithe isocial isensing idata itraffic ipose iadditional ichallenges ito ithe iresource iallocation iand isystem iresponsiveness. iIn ithis ipaper, iwe idevelop ia iScalable iand iRobust iTruth iDiscovery i(SRTD) ischeme ito iaddress ithe iabove ithree ichallenges. iIn iparticular, ithe iSRTD ischeme ijointly iquantifies iboth ithe ireliability iof isources iand ithe icredibility iof iclaims iusing ia iprincipled iapproach. iThe ievaluation iresults ion ithree ireal-world idata itraces i(i.e., iBoston iBombing, iParis iShooting iand iCollege iFootball) ishow ithat ithe iSSTD ischeme iis iscalable iand ioutperforms ithe istate-of-the- iart itruth idiscovery imethods iin iterms iof iboth ieffectiveness iand iefficiency.
Perception of Fresh Graduates towards Job Portal Sites
Authors:   Pursuing Masters in Business Administration, Specializing in Finance and Marketing Amrita School of Business, Amritapuri campus. Kerala., Prakash Anagha , Nair Rajiv ,   Associate Professor, Chairperson Department of Management, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kerala.
Published: January 2020

Job portal sites are one of the effective technologies that deal with employment or careers in today’s world. Job portal sites offers vast number of job opportunities. This study aims to determine the factors that influence the perception of fresh graduates towards job portal sites. From this study we are able to find out why fresh graduates prefer sing job portal sites. Job portal sites helps people to find employment. Data was collected by mailing questionnaire to 233 fresh graduates in Kerala. The questionnaire was built by incorporating various variables like Productivity, User friendliness, Efficiency, Convenience, Quick response, Corporate preference, Information provision, Security, Privacy, Service quality, Extended services and Career opportunities from previous researches. The questionnaire consisted of 27 questions of which 23 were on a 5 point Likert scale. Factor analysis was used for analyzing the data. The results obtained shows factors such as efficiency, productivity, user friendliness, extended services and information provision influence the perception of fresh graduates. The study is not restricted to just one or two job portal sites, it is generalized and therefore the results are more reliable. The findings of the study also showed that most of the fresh graduates prefer Naukri.com to apply for jobs and also that most prefer using free services. We are also able to identify a problem in using job portal sites viz the job seekers often receive spam mails. The results from the paper can be used by job portal sites to improve their services. The paper provides the various factors that can be incorporated in the job portal sites to improve their services.