bluuebunny/crossref_metadata_2025 huggingface dataset:
Prediction o f West Nile Virus u sing Ensemble Classifiers
Authors:   Department of Information Technology, SSN College of Engineering, Kalavakkam-603110, India, Rishickesh* R. , Shahina A. ,   Department of Information Technology, SSN College of Engineering, Kalavakkam-603110, India ., Khan A. Nayeemulla ,   School of Computing Science and Engineering, VIT University, Chennai-600127, India
Published: November 2019

West Nile Virus (WNV) is a disease caused by mosquitoes where human beings get infected by the mosquito’s bite. The disease is considered to be a serious threat to the society especially in the United States where it is frequently found in localities having water bodies. The traditional approach is to collect the traps of mosquitoes from a locality and check whether they are infected with virus. If there is a virus found then that locality is sprayed with pesticides. But this process is very time consuming and requires a lot of financial support. Machine learning methods can provide an efficient approach to predict the presence of virus in a locality using data related to the location and weather. This paper uses the dataset present in Kaggle which includes information related to the traps found in the locality and also about the information related to the locality’s weather. The dataset is found to be imbalanced hence Synthetic Minority Over sampling Technique (SMOTE), an upsampling method, is used to sample the dataset to balance it. Ensemble learning classifiers like random forest, gradient boosting and Extreme Gradient Boosting (XGB). The performance of ensemble classifiers is compared with the performance of the best supervised learning algorithm, SVM. Among the models, XGB gave the highest F-1 score of 92.93 by performing marginally better than random forest (92.78) and also SVM (91.16).
Effect of Mobile Screen Psychomotor Digital Image Motivators in Person Technique in Reducing Anxiety Level of Intervarsity Players of Cluster University Jammu
Authors:   Physical Director, University Of Jammu, J&K, Singh* Dr. Mandeep
Published: November 2019

The investigation decided impacts of Mobile screen psychomotor computerized picture sparks face to face procedure on diminishing tension degrees of intervarsity Players. The subjects were 50 male players (N=50). The tested subjects were haphazardly alloted into two gatherings test gathering (N=25) and control gathering (N=25). We applied exploratory strategy with pre-post tests and control gathering. Subjects in the trial (Mobile screen psychomotor advanced picture inspirations in person procedure) bunch got additional 10 minutes to for uncommon directing for the portable settings and affirmation to experience Mobile screen psychomotor computerized picture sparks face to face strategy preparing program day by day for about a month alongside their standard preparing program during the training camps for the intervarsity competitions. Control gathering was occupied with their standard movement for about a month. ANCOVA was utilized to break down the information gathered. Results indicated huge contrast in the lessening tension levels among test and control gatherings. In light of the discoveries it was presumed that Mobile screen psychomotor computerized picture sparks face to face procedure is a viable instruments for inspiring competitors and mental planning of competitors. In view of the consequence of this investigation it is prescribed in addition to other things that mentors, physical instruction educators, athletic coaches and game therapists should utilize this strategy to improve productive execution by players.
Segmentation of Latent Fingerprint u sing Neural Network
Authors:   Ph.D Scholar UTU Dehradun, , India, Chaudhary* Neha , Dimri Priti ,   Department of Computer Science and Applications, G.B. Pant Engineering College, Ghurdauri,Uttarakhand, India, Singh Harivans Pratap ,   Scholar UTU Dehradun, Asst. Prof. in Department of Computer Science & Engineering ABES Engineering College ,Ghaziabad, India.
Published: November 2019

Latent fingerprints are the fingerprints that are left by the criminal unintentionally on the surface of the crime scene. The qualities of the latent fingerprints are very poor due to the overlapping patterns and structured noises. Latent fingerprint segmentation is a difficult task due to low visibility, structured noise, and complex structure. In this paper, a fusion of morphological and neural network approach is purposed for latent fingerprint segmentation. This method automatically segments the fingerprints and non-fingerprints patterns without human intervention. The morphological method is used for segmentation of the fingerprint region. Fingerprint region then divides into y*y blocks and extracts the features of each block and uses them as an input of NN to classify the blocks into fingerprint and non-fingerprint blocks. We are using the IIIT-D database and the shows that this model batters then the existing model.
A Rough Set Pooled Fitness Function Based Particle Swarm Optimization Algorithm using Golden Ratio Principle for Feature Selection
Authors:   Research Scholar, Department of Compter Science, Periyar University, Salem, India., Saravanapriya K. , Bagyamani J. ,   Associate Professor, Department of Computer Science, Government Arts College , Dharmapuri, Dharmapuri, India.
Published: November 2019

Particle Swarm Optimization, a nature based stochastic evolutionary algorithm that iteratively tries to improvise the solution pertaining to a particular objective function. The problem becomes challenging if the objective function is not properly identified nor it is properly been evaluated which results in slow convergence and inability to find the optimal solution. Hence, we propose a novel rough set based particle swarm optimization algorithm using golden ratio principle for an efficient feature selection process that focusses on two objectives: First, that results in a reduced subset of features without conceding the originality of the data and the second is that yields a high optimal result. Since many subset of features might result with a meaningful solution, we have used the golden ratio principle to extract the most reduced subset with a high optimal solution. The algorithm has been tested over several benchmark datasets. The results shows that the proposed algorithm identifies a small set of features without convincing the optimal solution, thus able to achieve the stated objectives.
Technology Development f or Detecting Inhomogeneities i n Agricultural Fields
Authors:   Eng.Sc.D,.Professor, Department of Electronic Systems and Information Security, Samara State Technical University, Samara, Russia., Skobelev* Petr , Travin Vitaly ,   Project Manager, SEC «Smart Solutions», Ltd, Samara, Russia., Simonova* Elena ,   Ph.D., Associate Professor, Department of Information Systems and Technologies, Samara State Technical University, Samara, Russia., Galuzin Vladimir ,   Graduate Student, Department of Information Systems and Technologies, Samara State Technical University, Samara, Russia., Galitskaya Anastasiya ,   Graduate Student, Department of Information Systems and Technologies, Samara State Technical University, Samara, Russia.
Published: November 2019

The paper addresses the relevant problem of identifying inhomogeneities in crop development based on analysis of multispectral images obtained from Earth remote sensing (ERS) satellites and unmanned aerial vehicles. Various techniques for detection of inhomogeneities are considered, which are based on computation of normalized difference vegetation index and its analysis, but do not take into account stages of crop production. The authors propose an original method and new algorithms for detecting inhomogeneities that take into account field zoning at various stages of the plant development cycle: preparing the field for sowing, emergence, and development of seedlings, heading. The paper also describes comparative analysis of results of the algorithms described in this paper and those of system-analogs. This analysis confirms effectiveness of the proposed algorithms. The method and algorithms for detection of inhomogeneities, developed by the authors, are used in the software module of image processing and presentation of ERS results for solving problems of precision farming, providing prompt, flexible, and efficient results for consumers.
Don't Wanna Cry: A Cyber Crisis Table Top Exercise for Assessing the Preparedness against Eminent Threats
Authors:   Research Scholar- Uttarakhand Technical University, Dehradun & Scientist- Indian Computer Emergency Response Team., Bahuguna* Ashutosh , Bisht Raj Kishore ,   School of Computing, Graphic Era Hill University, Dehradun, India., Pande Jeetendra ,   School of Computer Science & IT, Uttarakhand Open University, Haldwani, India.
Published: November 2019

Cyber Security Exercises are emerged as useful tool for assessing and improving preparedness of the organizations and nations against cyber threats. Cyber security exercises of different types & duration with various objectives are conducted across the globe. These exercises vary from quiz type exercises to full simulated attack based exercises. One such type of exercise is Table Top Exercise (TTX). TTX are discussion based exercises involving decision makers of the participating entities to meet and discuss the response during the hypothetical emergency situations. These exercises primarily focused on to clarify roles and responsibilities, assessment of effectiveness of plans and further improvements in cyber security. In this paper we presented Objective, Design and Execution of Cyber Crisis Table Top eXercise (CCTTx) named "Don't WannaCry" conducted for Indian entities. 5 CCTTx involving decision makers from 65 organizations with the objective to encourage self-realization of true cyber security posture of their own entity were conducted in 2017.Exercises were divided into three segments starting with (i) Self-assessment in which participating organization self-assess their cyber security posture in pre-defined 6 domains, followed by (ii) Exercise Play in which participating entity act as a hypothetical entity and respond to the presented cyber crisis situation and finally (iii) Hotwash session was executed with purpose of inducing self-realization of their true cyber security posture. Exercise take away for participants was self-realization and identification of improvement plan to enhance cyber security posture of their entities against the cyber attacks. These exercises are unique in design, execution and their objective of self-realization by the participating entities. Success of these exercises is evident from the feedback and adoption of exercises for domestic purpose by participating organizations.
Improving the Quality of KB Harvest by Leveraging Multimodal signals based on Event and Place
Authors:   CSE Department, GRIET, Hyderabad, India., Raju Dr. K. Butchi , Anitha Chityala ,   CSE Department, GRIET, Hyderabad, India.
Published: November 2019

New elements are being made every day. Even though the oddity of these substances normally pulls in notices, because of absence of earlier learning, it is additionally testing to gather information about such elements than previous elements, whose KBs are extensively commented on through LBSNs and EBSNs. In this we center around learning gathering for developing spatial elements ESEs, for example, new organizations and settings, expecting we have just a rundown of ESE names. Existing systems for learning base (KB) reaping are fundamentally connected with data extraction from literary corpora. Conversely, we propose a multimodal technique for occasion discovery dependent on the reciprocal connection of picture, content, and client data between multi-source stages, specifically Flickr and Twitter. We exactly approve our collecting approaches enhance the nature of KB with advanced place and occasion learning.
Optimization Techniques Are Best Choice to Segment Blood Vessels from Retinal Fundus Images
Authors:   Department of CSE, GIT, Gitam University, Vizag, Andhra Pradesh, INDIA, Kumar* N.C.Santosh , Radhika Dr.Y. ,   Department of CSE,GIT, Gitam University, Vizag, Andhra Pradesh, INDIA
Published: November 2019

The mostly affected disease which has been a curse to human kind is diabetes. This disease, irrespective of the age, causes extreme impact upon the eyes of the patients indicating abnormalities which manifests in tree-like structured blood vessels of the retina. It is so important to diagnose such patients with diabetes at the initial stage so as to save them from reaching blindness. Blood vessel segmentation in retinal fundus images is an adequate way and takes a critical role in medication and diagnosis of distinct retinal-related diseases and disorders. In this paper, a comprehensive review of various categories of segmentation techniques is presented with main focus on proving the magnificence of optimization techniques as the right choice in the process segmentation. The effectiveness of this work is straightened in relative study of discrete methods.
Design And Fabrication Of Flood Barrier For Domestic Usage At The Doorframe
Authors:   Mechanical Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia., Mahmood* Johan Ihsan , Daud Muhammad Farhan ,   Student, Bachelor of Engineering Technology in Mechanical Design, Universiti Kuala Lumpur Malaysian Spanish Institute. Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia., Krishnan Pranesh ,   Intelligent Automotive Systems Research Cluster, Electrical Electronic and Automation Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000, Kulim, Kedah, Malaysia.
Published: November 2019

There are many types of flood barrier, but commonly used are sandbags as it is the easiest to get as well fixed type of flood barrier. The problem with sandbags and fixed type flood barrier is sandbagged will get messy, and a hassle after the flood water has been receding while fixed type flood barrier only can be used on one side of doorframe. Therefore, this project tries to create a new design that will solve both problems by using Solidworks software. Result of this project showed what the effect on the structure design when the maximum force was applied. Some of parts in the invented flood barrier are working as intended.
Effect of Air Quality Parameters in Hyderabad and Mapping Using QGIS and Detection Management Software
Authors:   Department of Civil Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad., Hemalatha* K. , Srinivas T. ,   Department of Civil Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad., Swetha G. ,   Department of Civil Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad., Haripan V. ,   Department of Civil Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad.
Published: November 2019

This paper mainly focuses on determination of particulate matter (PM), carbon dioxide and Carbon monoxide, relative humidity (RH), temperature, volatile organic compounds (VOC) and dew point in eleven most polluted areas in Hyderabad using equipment (3MTM EVM series) environmental monitor. In this paper we represented above parameters in the form of graph using Detection Management software in the duration of readings taken in a day and also we have done mapping using QGIS software.
Fpga Implementation of Active Neighborhood Pattern Sensitive Fault Testing Using Tiling Method
Authors:   Asst Professor, Department of ECE, VNR VJIET, Hyderabad, India., Kumari K L V Ramana , Rani Dr M Asha ,   Professor, Department of ECE, JNTUH, Hyderabad, India., Balaji Dr N ,   Professor, Department of ECE, JNTUK, Hyderabad, India., Goud* B Niharika ,   pursuing Masters in VLSI System design, Department of ECE, VNRVJIET, Hyderabad, India.
Published: November 2019

Test structure for Active Neighborhood Pattern Sensitive Fault (ANPSF) in memories with high switching speed is modeled in this paper. Algorithm for ANPSF testing is developed using type-1 neighborhood approach. The type-1 neighborhood, also known as tiling method has one victim and four aggressor cells. It is used to identify the ANPSF effect on base cell by the switching of patterns in the corresponding deleted neighborhood cells. The required test pattern can be generated using a Binary counter, Hamiltonian or Gray pattern generator where the two successive values differ in only one binary digit. The BIST architecture allows to incorporate the hardware required by the user to select the victim and corresponding aggressor cells to test the complete memory. It helps in application of test pattern for the memory circuit under test on user’s choice. The main objective of this model is to develop the architecture for tiling methodology with test pattern generator to detect the transitions in aggressor cells with edge detection technique. The proposed work enables to verify the response of victim cell which may cause a change in value resulting in an active neighborhood pattern sensitive fault scenario. The complete ANPSF model architecture for memory testing is developed using Verilog hardware descriptive language. The process of simulation and synthesis report is validated using Xilinx 14.2 and implemented on Nexys 4 DDR Artix 7 FPGA board.
Optimum Dose of Binary Admixtures in Self Compacting Concrete
Authors:   Department of Civil Engineering, MNNIT Allahabad, Prayagraj, India., Tripathi* Deep , Kumar Rakesh ,   Department of Civil Engineering, MNNIT Allahabad, Prayagraj, India., Mehta P. K. ,   Department of Civil Engineering, MNNIT Allahabad, Prayagraj, India., Singh Amrendra ,   Department of Civil Engineering, MNNIT Allahabad, Prayagraj, India.
Published: November 2019

Self Compacting Concrete (SCC) is a high performance concrete and is becoming popular day by day in the field of construction. Generally, the quantity of binder is more in SCC than the normal concrete. The application of pozzolanic material is found successful in such type of concrete. Generally, Ordinary Portland Cement (OPC) is replaced with Fly Ash (FA). In this paper, the results of an experimental programme to evaluate the performance of SCC are presented and optimum dose of binary admixture was found. For the determination of the optimum dose, concrete cubes of 100mm sizes were cast. The replacement level of OPC by FA was varied as- 5, 10, 15 and 20%, by mass. The OPC was also replaced separately by Metakaolin (MK) - 5, 10, 15 and 20%, by mass. Further, the OPC was replaced by the binary admixture (FA+MK). The workability and strength of SCC of grade M25 (Referral concrete- RC) and the concrete using the binary admixtures were studied. All SCC mixes were tested for workability as recommended by EFNARC i.e. Slump flow, T50 time flow, V-funnel, L-box, U-box and J-ring. The workability of SCC mix increases with FA and decreases gradually as MK content is increased. The optimum replacement level of OPC by binary admixture is 25% (FA-15% + MK-10%) with respect to compressive strength. The water absorption of cubes was also examined. It is concluded that a high strength and economical SCC could be developed by incorporation of FA and MK.
Performance Assessment of 3d Printed Parts Fabricated By Fdm using Three Different Materails
Authors:   Dept. of Mechanical Engineering, Chandigarh University, Chandigarh, India., Singh* Harjinder , Gill Dr.Harjot ,   Dept. of Mechatronics Engineering, Chandigarh University
Published: November 2019

A tremendous research has been notices in the field of three dimensional printing. An experimental study has been carried out for three dimensional printing to analyses the surface roughness and ultimate tensile strength of three different materials. The study has been conducted using Taguchi design of experiment. from the study it has been depicted that the infill percentage has a significant effect on the output.
Image Denoising with Recurrent Polak-Ribière-Polyak Conjugate Gradient-Based Neuro-Fuzzy Edge-Preserving Segmentation Based on OAMNHA
Authors:   Research Scholar, Department of Computer Science, Sri Ramakrishna College of Arts and Science, Coimbatore, Tamilnadu, India., Indupriya* K. , Vijendran Dr. Anna Saro ,   Dean, School of Computing, Sri Ramakrishna College of Arts and Science College, Coimbatore, Tamilnadu, India.
Published: November 2019

The most essential process in image processing applications is eliminating the noisy pixels from the images and acquiring the noise-free images with better reconstructed quality. This process has high complexity due to the segmentation of image patches from the noisy images. To simplify this process, Neuro-Fuzzy filtering with Optimum Adaptive parameterized Mask Non-Harmonic Analysis in Curvelet Transform domain (NF-OAMNHA-CT) has been proposed for image denoising. It uses NF edge detector instead of canny edge detector for segmenting and preserving the edge regions including homogeneous texture boundaries with minimized edge distortion. However, it requires gradient information about the error function with respect to the parameter measures during training of NF for optimizing their parameters. Also, it often affects with the fixed local minima. Therefore in this article, Recurrent Polak- Ribière-Polyak Conjugate Gradient-Based Neuro-Fuzzy (RPCGNF-OAMNHA-CT) technique is proposed to enhance the edge-preserving segmentation in image denoising. At first, the noisy images are defined in the CT domain and fed to the RPCGNF edge detector as edge-preserving segmentation that segments and extracts the edge regions as well as homogeneous texture regions. In this RPCGNF technique, recurrent mechanism is applied to construct PCGNF as an updated edge-preserving segmentation technique that learns their parameters with high efficiency and speeding up the convergence. As a result, the edge regions and homogeneous textures are synchronously segmented as noisy pixels until either the PCGNF converges to the desired accuracy of segmentation or a termination criterion is reached. Further, OAMNHA is applied on each segment to remove the noisy pixels from the images and obtain the noise-free images accurately. Finally, the experimental results illustrate the proposed RPCGNF-OAMNHA-CT technique achieves higher efficiency than the NF-OAMNHA-CT technique in terms of Peak Signal-to-Noise Ratio (PSNR), Mean Absolute Error (MAE) and Structural Similarity (SSIM).
Use of Bottom Ash as a Partial Replacement of Fine Aggregates in Flexible Pavement
Authors:   Department of Civil Engineering, RIMT University, Pujabn, India., Farooq* Amir , verma Punit ,   Department of Civil Engineering, RIMT University, Punjab, India., singla Sandeep ,   Department of Civil Engineering Departement, RIMT University, punjab, India.
Published: November 2019

A survey of ongoing research on bottom ash appears to demonstrate it has the ability to improve asphalt pavement performance when used to supplant a segment of the aggregate in asphalt mixes. Bottom ash can be utilized as an aggregate substitution, giving a considerable reserve funds to both highway organizations and service organizations. Bottom ash has been utilized as fine aggregates in flexible pavements since the mid 1970's. The American Coal Ash Association detailed that, more than 17,200 metric huge amounts of bottom ash was utilized in flexible pavements clearing during 2006. The research is centered around examination of properties of bottom ash, which is the byproduct of Budgam coal power plant and attainability investigation of utilization of bottom ash in flexible pavements of indian roads. As indicated by the outcomes got, the best blends are delivered by mixing bottom ash with well-graded, angular, rough textured aggregate and restricting the level of bottom ash to 25% for wearing and 16% for binder course. Marshall Stability and flow values have been found to diminish as the level of Wet bottom ash is increased in the blend. Further, high level of bottom ash substitution increases ideal bitumen content, which primarily influences to high production cost. In spite of the fact that the expense per 1 Mt of bottom ash mixed blend is higher than the conventional mix for both surface courses, its low density increases overlay zone. In light of that the expense per 1 m2 is lower than the conventional mix. The fruitful utilization of bottom ash in black topped pavements in Jammu and kashmir would give huge monetary investment funds as well as an ecological inviting solution for a waste material.
A Reliable Friedman Hypothesis-Based Detection and Adaptive Load Balancing Scheme for Mitigating Reduction of Quality DDoS Attacks in Cloud Computing
Authors:   Research Scholar, Saveetha School of Engineering, SIMTS, Chennai, India., Loganathan* V , Winster S Godfrey ,   Professor, Saveetha Engineering College, Chennai, India.
Published: November 2019

The computing resource availability in a cloud computing environment is considered as the vital attribute among the security essentialities due to the consequence of on its on demand service. The class of adversaries related to the Distributed Denial of Service (DDoS) attack is prevalent in the cloud infrastructure for exploiting the vulnerabilities during the implementation of their attack that still make the process of providing security and availability at the same time as a challenging objective. In specific, The in cloud computing is the major threat during the process of balancing security and availability at the same time. In this paper, A Reliable Friedman Hypothesis-based Detection and Adaptive Load Balancing Scheme (RFALBS-RoQ-DDOS) is contributed for effective detection of RoQDDoS attacks through Friedman hypothesis testing. It also inherited an adaptive load balancing approach that prevents the degree of imbalance in the cloud environment. The simulation results of the proposed RFALBS-RoQ-DDoS technique confirmed a superior detection rate and a adaptive load balancing rate of nearly 23% and 28% predominant to the baseline DDoS mitigation schemes considered for investigation.
On Realization and Characterization of Topological Indices
Authors:   Department of Mathematics, Dr. AIT, Bangalore, Karnataka State, India., Sooryanarayana* Badekara , Boraiah Chandrakala Sogenahalli ,   Department of Mathematics, NMIT, Bengaluru, India., Roshini* Gujar Ravichandra ,   Department of Mathematics, NMIT, Bengaluru, India.
Published: November 2019

In chemical graph theory, topological index is one of the graph invariants which is a fixed number based on structure of a graph. Topological index is used as one of the tool to analyze molecular structures and for proper and optimal design of nanostructure. In this paper we realize the real numbers that are topological indices such as Zagreb indices, Randic index, NK-index, multiplicative F-index and multiplicative Zagreb indices along with some characterizations.
Implementation of Modern Information Communication Technologies (ICT) in Higher Education Sector: International Experience and The Example of Uzbekistan
Authors:   Lecturer, Faculty of Social Sciences, National University of Uzbekistan, Tashkent, Uzbekistan., Allayarova* Solikha N.
Published: November 2019

The Information and Communication Technology (ICT) is the powerful tool for the successful delivery of quality education in higher institutions. A range of countries understanding the full benefit of it have already implemented and developing the usage of ICT in higher education sector, though in Uzbekistan still can be faced some challenges on this regard. The purpose of this study is therefore to contribute to the growing evidence on the use and acceptance of ICT by higher institutions of learning in Uzbekistan. The paper critically analyzes the current students’ and teachers’ perceptions on ICT usage, involving 23 higher educational institutions in Uzbekistan and provides some recommendations on improvement through studying international experience.
Simulation Analysis of a Liver Transplantation Queueing System
Authors:   Assistant Professor, Mathematics Department of Science and Humanities,Saveetha School of Engineering, SIMATS, Chennai, India., Evangelin* Ms.K.Ruth , Vinodhini Dr. G. Arul Freeda ,   Assistant Professor (senior grade), Dept. of Science and Humanities (Mathematics) at Saveetha School of Engineering, SIMATS, Chennai. S, India., obtained Dr.V.Vidhya ,   Assistant Professor, Department of Mathematics, VIT, Chennai, India.
Published: November 2019

Liver transplantation is done widely across the world. Every year, many people are waiting for a donor liver. Depending on the blood group and MELD score, the priority is given to the waiting patients. Here, we have presented the quasi birth death process of the liver transplantation model and analysis of its parameters are done using simulation technique. Simulation results are presented for different values of the threshold.
Effect of Infill Wall on Vertical Irregular Tall Structure
Authors:   PG Student, Department of Civil Engineering, PDA College of Engineering Gulbarga-585102, Karnataka India., Shreenath  , Harsoor Dr. Rajendrakumar ,   Professor, Department of Civil Engineering, PDA College of Engineering Gulbarga-585102, Karnataka, India.
Published: November 2019

In reinforced concrete (RC) frames, the masonry infill walls are used to fill the gaps between the two columns and one horizontal beam which form the single bay. Stiffness of this bay or reinforced concrete frame structure increases by filling the gap between the bays of a structure. The present study investigates that the influence of the infill wall in the vertical irregular tall structure with bottom soft storey and the behavior of (G+14) storey building subjected to seismic load. The study carries different type of models which are regular frame, regular full infilled frame, regular infilled with 15% central opening frame and regular infilled with 15% corner opening frame are analysed. Similarly the same study has been extended for vertical irregular bare frame, inverted vertical irregular bare frame. This study is made for a case applicable to earthquake zone (III), soil type (II) with importance factor (1) and M20 grade of concrete. The analysis is performed using the equivalent static method and response spectrum method as per IS 1893-2016 using E-Tabs 2015 commercially available software. The parameters considered for study are storey displacement, storey drift and base shear. The results obtained for storey displacement and storey drift, in the infilled frame are reduced due to presence of infill wall. However, as expected, the base shear is increased from bare frame to infilled frame.
Using a Fuzzy Logic-Based Emotional Intelligence Framework for Testing Satisfaction of Faculty in an Outcomes-Based Educational System
Authors:   Associate Professor, Department of Mathematics, IAH, GLA University, Mathura U.P. India., Pathak* Pooja , Dwivedi Vijay Kumar ,   Associate Professor, Department of Mechanical, IET GLA University, Mathura U.P. India.
Published: November 2019

Workplace distress, a common manifestation in different profession has been seen in all over the world. Occupation pressure among faculty has been documented to impact job satisfaction and job performance, thereby undermining student teacher relationship leads to the future of student at risk. The purpose of this study to get satisfaction index of faculty in an outcome based education system by using fuzzy based emotional intelligence (EI). Emotional expression is essential for survival. One can give his emotional expression in language (linguistic) only. As per literature the fuzzy logic is much more capable to handle linguistic variable in uncertain environment. Therefore, to analyze the satisfaction index of faculty fuzzy logic is used. Research findings indicate that emotional literacy plays an important role in thinking, learning, exhaustion, depersonalization and a sense of low personal adjustment that can occur among individuals who work with other people in some capacity in a University. In this study, 450 faculty satisfaction data are taken and analyzed, needing further investigation more data and more comparative analysis. Fuzzy based emotional intelligence was not as distinctive as previous literature has indicated.
Placement of Fixed Size Diesel Generators in IEEE 12 Bus Radial Distribution System to Improve Voltage Stability
Authors:   Research Scholar, VTU & Assistant Professor, Electrical & Electronics Engineering Department, NIE Institute of Technology, Mysuru, India., Kumar K J* Sandeep , M Lokesh ,   Research Scholar, VTU & Assistant Professor, Electrical & Electronics Engineering Department, NIE Institute of Technology, Mysuru, India., N Dr. Mohan ,   Assistant Professor, Electrical and Electronics Engineering Department, JSS S&T University, Mysuru,, Kulkarni Dr. A D ,   Retd.Professor Electrical & Electronics Engineering Department, NIE, Mysuru, India.
Published: November 2019

Distributed Generation (DG) is small capacity generating units directly associated to the distributed system. With the penetration of distributed generators nearby the consumer load center support to the distribution system will be enhanced. The Distributed Generation involves both Renewable & sustainable sources of energy to engender power in order to appease the ever increasing energy requirement. Suitable location and capacity of DG units will benefit the achievement of active power system network. The voltage profile and Real power line loss and Reactive power line loss reduction can also be improved with suitable location and allocation of DG. This work proposes a new Simulation method for the placement of fixed Size Diesel Generator in IEEE 12 bus radial distribution system stationed on Voltage stability index and Transmission line losses. This index is progressed by acknowledging steady state node voltages cited in Per Unit.
The Impact of Building Orientation on Energy Consumption in a Domestic House in Desert Climate
Authors:   Mohammed V University, Rabat, Morocco., Bourass* Omar , Et-Tahir Aziz ,   Mohammed V University, Rabat, Morocco.
Published: November 2019

Morocco has set the goal of introducing new methods of construction and positioning among the leaders in the African continent in the field of renewable energy and sustainable buildings, efforts are therefore focused on developing an energy efficiency policy. Orientation is one of the key factors that impact building’s energy consumption, it’s a very important factor to consider in order to avoid summer overheating and limit winter losses. The purpose of this scientific article is to study the impact of the orientation of a house on its annual energy needs in terms of heating and cooling essentially, but also its internal and solar energy gains and its losses in relation with infiltration, transmission and ventilation. In this regard, simulations were carried out with eight different possible orientations on a small house, located in one geographical area known by its desert climate. The final purpose is to determine the suitable orientation for dwellings in this geographical area for energy saving while guaranteeing the thermal comfort. Based on our analysis, it was revealed that a well-orientated house can save a considerable amount of energy throughout its life cycle.
Integrated Triple Notch Bands Compact UWB Antenna for Wireless Communications
Authors:   Department of Electronics and Communication Engineering, Scholar JNTU Hyderabad, Assistant Professor in ECE ,Vardhaman college of Engineering , India., Krishna* Ch. Rama , Kumar Dr. G.A.E. Satish ,   Professor, Department of ECE, Vardhaman College of Engineering, Hyderabad, India., Reddy Dr.P. Chandra Sekhar ,   Professor, Department of ECE, JNTU Hyderabad college of Engineering, Hyderabad, India.
Published: November 2019

To Suppress Conventional Narrow Band Communication Technologies From The UWB Frequency Band An Integrated Triple Notch Bands Compact UWB Antenna Is Proposed. Band Notches Are Wimax (3.1-3.8 Ghz) ,WLAN(4.8-5.825 Ghz) And X Band (6.5-7.5 Ghz).To Attain UWB Frequency Band 2.9-14.5 Ghz From Compact UWB Antenna Introduced Slots In A Rectangular Patch With DGS. The Projected Compact UWB Antenna Arrangement Is Made-Up On FR4 Substrate With VSWR Is Less Than 2 Except For Selected Notched Bands. The Proposed UWB Design Is Suitable For Impenetrable Surroundings For Wimax/WLAN/X Band Dense. The Partial Defective Ground Structure Is Proposed To Improve Impedance Matching And Impedance Bandwidth Is Utilized.
Detecting Kidney Disease using Naïve Bayes and Decision Tree in Machine Learning
Authors:   Department of Master of Technology in Computer Science and Engineering, Institute of Engineering and Technology Chitkara University, Punjab, India., Kapoor* Sakshi , Verma Rabina ,   Department of Master of Technology in Computer Science and Engineering, Sri Sai College of Engineering and Technology (SSCET), Badhani, Pathankot, Punjab, India., Panda Surya Narayan ,   Chitkara University Institute Of Engineering and Technology Chitkara University, Punjab, India
Published: November 2019

Chronic Kidney Disease (CKD) mostly influence patients suffered from difficulties due to diabetes or high blood pressure and make them unable to carry out their daily activities. In a survey , it has been revealed that one in 12 persons living in two biggest cities of India diagnosed of CKD features that put them at high risk for unfavourable outcomes. In this article, we have analyzed as well as anticipated chronic kidney disease by discovering the hidden pattern of the relationship using feature selection and Machine Learning classification approach like naive Bayes classifier and decision tree(J48). The dataset on which these approaches are applied is taken from UC Irvine repository. Based on certain feature, the approaches will predict whether a person is diagnosed with a CKD or Not CKD. While performing comparative analysis, it has been observed that J48 decision tree gives high accuracy rate in prediction. J48 classifier proves to be efficient and more effective in detecting kidney diseases.
Hadoop based Parallel Machine Learning Algorithms for Intrusion Detection System
Authors:   Department Computer Technology – PG, Kongu Engineering College, Erode, Eswaran* Malathi , Balasubramanie P. ,   Department of Computer Science & Engineering Kongu Engineering College, Erode, Jotheeswari M. ,   Department Computer Technology – PG, Kongu Engineering College, Erode
Published: November 2019

Web use and digitized information are getting expanded each day. The measure of information created is likewise getting expanded. On the opposite side, the security assaults cause numerous security dangers in the system, sites and Internet. Interruption discovery in a fast system is extremely a hard undertaking. The Hadoop Implementation is utilized to address the previously mentioned test that is distinguishing interruption in a major information condition at constant. To characterize the strange bundle stream, AI methodologies are used. Innocent Bayes does grouping by a vector of highlight esteems produced using some limited set. Choice Tree is another Machine Learning classifier which is likewise an administered learning model. Choice tree is the stream diagram like tree structure. J48 and Naïve Bayes Algorithm are actualized in Hadoop MapReduce Framework for parallel preparing by utilizing the KDDCup Data Corrected Benchmark dataset records. The outcome acquired is 89.9% True Positive rate and 0.04% False Positive rate for Naive Bayes Algorithm and 98.06% True Positive rate and 0.001% False Positive rate for Decision Tree Algorithm.
Performance of Boost Converter with Fuzzy Logic Controller to Increase the DWIG Speed Range in Wind Power System
Authors:   M.Tech Scholar from Electrical & Electronics Engineering, JNTUA College of Engineering, Ananthapuramu, Andhra Pradesh, INDIA., Prakash* C Surya
Published: November 2019

In this paper the wind energy conversion with a variable speed of wind turbine connected to the grid which is based on dual stator induction generator (DWIG) which is excited by Static Excitation Controller (SEC) on the Control winding side which utilized by Control –Winding Voltage Oriented Control (CWVOC), and followed by Step up converter at the power winding side which utilized Fuzzy Logic Controller in its control strategy to increase the speed range of DWIG. The performance of boost converter with FLC in increasing the wide range of speeds can be executed by using mat lab/Simulink.
Religious Online Information Behaviour Among the Malays in the Digital Era
Authors:   Infrastructure University Kuala Lumpur, Unipark Suria, Jalan Ikram-Uniten, 43000 Kajang, Selangor, Malaysia., Hasan Haslin , Haron* Hamdzun ,   Pusat Citra Universiti, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia.
Published: November 2019

Seeking knowledge is among the most important virtuein Islam. The Internet era offers more sources and new ways in gaining and producing information including religious information. However, the perception that the religious information behaviour among the Malays is not yet being studied empirically. A framework has been developed based on theories, previous related studies and interviews with Internet users. Three main aspects of behaviour being studied: usage, information seeking and verification. Data is collected using printed and electronic questionnaires. There are 616 usable data successfully gathered and analyzed through SPSS. Related to usage, the result shows that the Malays have adapted well with the Internet medium for searching the religious information. The results also show that there are changes on the technical aspect of information acquisition and delivery via the new media. However from the procedural aspect, the information behaviour among Malays are still traditional in nature based on their seeking information methods. The results suggest that the religious offline behaviour continues online, demonstrating their conservative nature. Analyzing the beahviour against the users’ background suggests that there is a statically relationship between them. A high percentage of users claimed that the verify online religious information, even though they differ on this in practice. This paper ends with recommendations to improve the information behaviour among the masses.
666 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number A4548119119/2019©BEIESP DOI: 10.35940/ijitee.A4548.119119 Journal Website: www.ijitee.org Heavy Eyed Driver Detection System
Authors:   Department of Computer Science and Engineering SRM Institute of Science and Technology, Chennai, Tamil Nadu, India, Agnal* A. Sharmila , Balaji M. ,   Department of Computer Science and Engineering SRM Institute of Science and Technology, Chennai, Tamil Nadu, India, Reddy D. Adinarayana ,   Department of Computer Science and Engineering SRM Institute of Science and Technology, Chennai, Tamil Nadu, India, Vikas P. ,   Department of Computer Science and Engineering SRM Institute of Science and Technology, Chennai, Tamil Nadu, India
Published: November 2019

Driver fatigue is a great element in a massive variety of car accidents. Drowsy driver warning gadgets can form the foundation of the machine to maybe minimize the accidents associated with drowsiness. This paper uses a web cam for picture capturing. A web camera is connected to PC, and images are received and processed with the aid of mat lab using image processing. By setting the camera interior the car, we can monitor the face of the driver and look for the eye actions that say whether the driver is in a situation to drive. If the gadget detects that the driver is drowsy, a warning alert is issued. If eyes are detected as shut for too lengthy a beep sound is produced and as a result alerting the driver.
Physiological Stress Prediction using Machine Learning Classifiers
Authors:   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Karen* Nisitaa , TR Anuja ,   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., P Amirtha ,   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., R Angeline ,   Assistant Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology.
Published: November 2019

The aim of this study is to predict the stress of a person using Machine Learning classifiers. This system classifies the stress of a person as either High or Low. There are various classification algorithms present, out of which 9 classification algorithms have been chosen for this study. The algorithms implemented are K-Nearest Neighbor classifier, Support Vector Machine with an RBF kernel, Decision Tree algorithm, Random Forest algorithm, Bagging Classifier, Adaboost algorithm, Voting classifier, Logistic Regression and MLP classifier. The different algorithms are applied on the same dataset. The dataset is obtained from a GitHub repository labelled Stress classifier with AutoML. The different accuracies of each algorithm are found, and the classification algorithm with the best accuracy is determined. On comparison, it was found that the K-Nearest Neighbor algorithm has the best accuracy with an accuracy rate of 79.3% for physiological stress prediction. While other algorithms had varying accuracies, K-Nearest Neighbor algorithm was the most consistent.
The Effect of Life Skill Education on Cigarette Control in Adolescents
Authors:   Doctoral Program Student of Faculty of Public Health, Universitas Hasanuddin, Makassar Indonesia, Palallo* Umar Daeng , Syafar Muhammad ,   Professor, Department of Health Promotion, Faculty of Public Health, Hasanuddin University, Amiruddin Ridwan ,   Professor, Department of Epidemiology, Faculty of Public Health, Hasanuddin University, Yani Ahmad ,   Department of Health Promotion, Faculty of Public Health, Universitas Muihammadiyah Palu, Indar  ,   Professor, Department of Health Policy Administration, Faculty of Public Health, Hasanuddin University Makassar, Indonesia
Published: November 2019

Cigarettes are one of the leading causes of death in the world and are the only legal product that kills up to half of its use. Smoking habit causes at least 30 types of diseases in humans. The purpose of this study was to determine the effect of life skill education models on cigarette control in adolescents in Tellulimpoe District, Sinjai Regency. The population in this study were all adolescents living in Tellulimpoe District, Sinjai Regency. A sampling of research with selected purposive sampling and selected cluster sampling techniques. Selected purposive sampling uses qualitative methods, with teenage informants aged 11 years to 15 years. Selected cluster Sampling uses quantitative methods with teenage respondents. The selected sample was 318 respondents. The study was conducted for three months, namely 1 July to 30 October 2019. The results of the study were that adolescent attitudes were good with the formation of a good smoking cessation category of 6 people (2.7%) and a category of less 217 people (97.3%) ; adolescent attitudes less with the formation of the intention to stop smoking with a good category of 2 people (2.1%) and less categories of 93 people (97.3%). Subjective norms are good with the formation of quitting intentions with good categories of 0 people (0%) and fewer categories of 89 people (100%); subjective norms less with the formation of the intention to stop smoking with a good category of 8 people (3.5%) and the category of less than 221 people (96.5%). Adolescent beliefs are good with the formation of the intention to stop smoking with a good category of 0 people (0%) and 21 people fewer categories (100%); adolescent confidence is less with the formation of the intention to stop smoking with a good category of 8 people (2.7%) and 289 people less (97.3%). The conclusions of the study are adolescent attitudes, subjective norms, and beliefs to stop smoking form the intention to stop smoking. Research suggestions are needed for life skill education to control smoking behavior.