bluuebunny/crossref_metadata_2025 huggingface dataset:
Prediction of Bitcoin using Recurrent Neural Network
Authors:   Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Mehta* Pratik , Sasikala Dr. E. ,   Associate Professor in Computer Science and Engineering at SRM Institute of Science and Technology, Kattankulathur.
Published: April 2020

For the past couple of years, Machine learning and trading helped by artificial intelligence has drawn growing interest. Here, the approach is used to test the hypothesis that the inefficiency of cryptocurrency industry can be exploited in order to produce anomalous revenue. For the duration between Nov. 2015 and Apr. 2018, daily data for 1, 681 crypto currencies were analyzed. Simple trade techniques supported by state-of -the-art machine learning algorithms are seen to outperform the traditional benchmarks. The results obtained imply that non-trivial, but fundamentally simple, algorithmic processes will help to predict the short-term future of the cryptocurrency market. The popularity of cryptocurrencies had skyrocketed in 2017 due to several consecutive months of super-exponential growth of market capitalization. There are over 1,500 currently recorded cryptocurrencies actively trading today with the cryptocurrencies sitting on more than $300 billion [2], and a total market capitalization of over $800 billion in January 2018. According to a recent survey, between 2.9 and 5.8 million privates as well as institutional investors are in the numerous investment networks and access to markets has become easier over time. In a number of online markets, major crypto currencies can be purchased using fiat currency, and then used in order to purchase less known crypto currencies. The average trading amount is globally exceeding $15bn. About 170 money market funds had been invested in cryptocurrencies since 2017, and Bitcoin futures are launched in order to satisfy the Bitcoin trading and hedging demand for the market. The main objective of the work is to predict the Bitcoin prices, one of the most popular and widely used cryptocurrency which is a source of attraction for many investors as a source of profit or investment. But the market for the cryptocurrencies been volatile since the day it was first introduced. So, the approach towards the survey is to use LSTM RNN and use the available dataset and train the model to give the highest possible accuracy and to provide a real-time price of the Bitcoin for the following days.
A Novel Method for Infrared and Visible Image Fusion using Filters
Authors:   Department of Electronics and Communication Engineering, MEPCO Schlenk Engineering College, Sivakasi – 626005, Tamilnadu, India, Prema G. , Arivazhagan S. ,   Department of Electronics and Communication Engineering, MEPCO Schlenk Engineering College, Sivakasi – 626005, Tamilnadu, India
Published: April 2020

Image fusion is the process of coalescence of two or more images of the same scene taken from different sensors to produce a composite image with rich details. Due to the progression of infrared (IR) and Visible (VI) image fusion and its ever-growing demands it led to an algorithmic development of image fusion in the last several years. The two modalities have to be integrated altogether with the necessary information to form a single image. In this article, a novel image fusion algorithm has been introduced with the combination of bilateral, Robert filters as method I and moving average, bilateral filter as method II to fuse infrared and visible images. The proposed algorithm follows double - scale decomposition by using average filer and the detail information is obtained by subtracting it from the source image. Smooth and detail weights of the source images are obtained by using the two methods mentioned above. Then a weight based fusion rule is used to amalgamate the source image information into a single image. Performances of both methods are compared both qualitatively and quantitatively. Experimental results provide better results for method I compared to method II.
Pollution Control in Water by using IC Technology
Authors:   HOD/Department Of EEE, Vivekananda College Of Technology For Women, Tiruchengode, India., Gopinath* Dr. B. , Gangothiri T. ,   PG Scholar, M.E In Vivekananda College Of Engineering For Women (2018-2020),Completed B.E [Electrical And Electronics Engineering] In Vivekanandha College Of Engineering For Women, Tiruchengode., Archanadevi* R. ,   EEE Department, Vivekananda College Of Technology For Women, Tiruchengode, India., Sharmila* S. S. ,   EEE Department, Vivekananda College Of Technology For Women, Tiruchengode, India., Mothika* C. ,   EEE Department, Vivekanandha College Of Technology For Women, Tiruchengode, India.
Published: April 2020

Now a days water pollution is most dangerous thing that causes disease such as cholera, and other serious illnesses such as guinea worm disease, typhoid and dysentery etc., The water pollution cannot be controlled totally but it can be controlled partially. Our idea is based on controlling water pollution partially and also to safe the people from polluted water by using our idea. The main source for water pollution is releasing the hazardous chemicals from the industry directly mixed with the water content like river, lakes and ocean. Every industry releasing the chemicals in a normal way. Every time chemical industry releasing chemicals if they exceeding the permissible limit is a dangerous thing to our society. Our idea is to control the chemicals if they exceeding their limit. Industry releasing the chemicals in normal way if they exceeding the chemical level is released means the chip identified and it automatically closed the chemical closed door in a particular time. It give a indication to the industry to rectify the exceed level chemicals. If the company ignored the indication means the inside process is automatically collapsed. But some company releasing chemicals in abnormal way that’s also identified by using WINS. This idea is an innovative one and it will be implemented by us as soon as possible.
Adaptive Enterprise Management Strategy in Terms of Crisis
Authors:   PhD in Economics, Associate Professor, Head of Institute №5 “Engineering Economics and Humanities”, Moscow Aviation Institute (National Research University), Moscow, Russia., Novikov* Sergey V. , Tikhonov Gennady V. ,   PhD in Economics, Associate Professor, Moscow Aviation Institute (National Research University), Moscow, Russia.
Published: April 2020

This article shows systematization of the adaptive strategic management principles, the connection among essential elements of enterprise management’s adaptive approach. A great place in the article is taken to possible approaches and methods of adaptive enterprise management in terms of crisis, due to which changes in the internal and external environment are seen, which can be both expected and random and make current operational decisions that contribute to the achievement of before made goals, based on the correction of certain tasks. The systematic approach to assessing the adaptation of industrial enterprises of small and medium-sized businesses to crisis conditions is investigated. The necessity of adapting enterprises of "small forms" of all sectors to the external environment to solve the strategic tasks of the country's economy as a whole, which must go through the reform stage and become a powerful lever to support and help large industrial enterprises, is substantiated.
Object Classification using SVM and KD-Tree
Authors:   Department of Information Science and Engineering, Jyothy Institute of Technology, N Kalpitha , Murali S ,   Department of Computer Science and Engineering, Maharaja Institute of Technology
Published: April 2020

In this proposed work, we presented a system to classify the object. Firstly, the given images are segmented using Region merging Segmentation method. Later the background eliminated images are divided into number of blocks viz., 4, 16, 32. The features like Scale Invariant Feature Transform (SIFT) and Histogram of Gradients (HOG) are extracted from divided blocks of size 4, 16, 32. To measure the strength of proposed method we compare the Classification vs Retrieval using Support Vector Machine and KD Tree. We conducted the experimentation on Caltech 101 data set. To study the effect of accuracy in classification we pick images from database randomly. The Performance revels that the SVM achieves good performance.
Prediction of Lung Cancer Risk using Random Forest Algorithm Based on Kaggle Data Set
Authors:   Associate Professor, Department of CSE, S J M Institute of Technology, Chitradurga, India. Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India., T. Gururaj , M. Vishrutha Y. ,   Under Graduate Students, B.E., Department of CSE, S J M Institute of Technology, Chitradurga, India. Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India., M. Uma ,   Under Graduate Students, B.E., Department of CSE, S J M Institute of Technology, Chitradurga, India. Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India., D. Rajeshwari ,   Under Graduate Students, B.E., Department of CSE, S J M Institute of Technology, Chitradurga, India. Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India., K. Ramya B. ,   Under Graduate Students, B.E., Department of CSE, S J M Institute of Technology, Chitradurga, India. Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India.
Published: April 2020

As huge amount of data accumulating currently, Challenges to draw out the required amount of data from available information is needed. Machine learning contributes to various fields. The fast-growing population caused the evolution of a wide range of diseases. This intern resulted in the need for the machine learning model that uses the patient's datasets. From different sources of datasets analysis, cancer is the most hazardous disease, it may cause the death of the forbearer. The outcome of the conducted surveys states cancer can be nearly cured in the initial stages and it may also cause the death of an affected person in later stages. One of the major types of cancer is lung cancer. It highly depends on the past data which requires detection in early stages. The recommended work is based on the machine learning algorithm for grouping the individual details into categories to predict whether they are going to expose to cancer in the early stage itself. Random forest algorithm is implemented, it results in more efficiency of 97% compare to KNN and Naive Bayes. Further, the KNN algorithm doesn't learn anything from training data but uses it for classification. Naive Bayes results in the inaccuracy of prediction. The proposed system is for predicting the chances of lung cancer by displaying three levels namely low, medium, and high. Thus, mortality rates can be reduced significantly.
Performance Analysis of Supervised Machine Learning Algorithms on Medical Dataset
Authors:   School of Computing, Graphic Era Hill University, Dehradun, India., Juyal* Amit , Pandey Chetan ,   School of Computing, Graphic Era Hill University, Dehradun, India., Pant Janmejay ,   Dept. of Computer Science, Graphic Era Hill University, Bhimtal, India.,, Dumka Dr. Ankur ,   Dept. of CSE, Graphic Era Deemed to be University, Dehradun, India, Tomer Vikas ,   Dept. of CSE, Graphic Era Deemed to be University, Dehradun, India.
Published: April 2020

Machine learning (ML) algorithms are designed to perform prediction based on features. With the help of machine learning, system can automatically learn and improve by experience. Machine learning comes under Artificial intelligence. Machine learning is broadly categorized in two types: supervised and unsupervised. Supervised ML performs classification and unsupervised is for clustering. In present scenario, machine learning is used in various areas. It can be used for biometric recognition, hand writing recognition, medical diagnosis etc. In medical field, machine learning plays an important role in identifying diseases based on patient’s features. Presently, doctors use software application based on machine learning algorithm in various disease diagnosis like cancer, cardiac arrest and many more. In this paper we used an ensemble learning method to predict heart problem. Our study described the performance of ML algorithms by comparing various evaluating parameters such as F-measure, Recall, ROC, precision and accuracy. The study done with various combination ML classifiers such as, Decision Tree (DT), Naïve Bayes (NB), Support Vector Machine (SVM), Random Forest (RF) algorithm to predict heart problem. The result showed that by combining two ML algorithm, DT with NB, 81.1% accuracy was achieved. Simultaneously, the models like Support Vector machine (SVM), Decision tree, Naïve Bayes, Random Forest models were also trained and tested individually.
Analysis of Transformational Leadership Characteristics of Cimahi Regional Head, West Java, Indonesia and their Implication for Subordinates Commitments in Achieving Organizational Goals
Authors:   Lecture of Entrepreneurship Departement, Binus Business School Under Graduate Program, Bandung, West Java, Indonesia,, Jahidi Idi
Published: April 2020

Leadership as a leader factor can influence in moving employees to achieve organizational goals. In this study examines the problem of how the characteristics of transformational leadership and the extent of its impact can foster employee commitment to achieve organizational goals. By using qualitative research methods, it is expected to be able to discuss issues that are examined more broadly and in depth. Based on the research method, it can be explained that the transformational leadership characteristics of the Regional Head of Cimahi City, West Java, Indonesia through ideal influence, inspirational motivation, intellectual stimulation, and individual consideration can foster employee work commitment in achieving organizational goals. The Cimahi Regional Head in his transformational leadership is able to correlate and integrate transformational leadership characteristics (ideal influence, inspirational motivation, intellectual stimulation, and individual consideration). The regional head can build and grow the work commitment of subordinates, even exceeding what is expected, which has innovation and creativity in achieving organizational goals.
Indoor Navigation of Unmanned Grounded Vehicle using CNN
Authors:   Department of Electrical Engineering, Delhi Technological University, New Delhi, India., Jain* Arindam , Singh* Ayush ,   Department of Electrical Engineering, Delhi TechnologicalUniversity, New Delhi, India., Bansal* Deepanshu ,   Department of Electrical Engineering, Delhi Technological University, New Delhi, India., Tripathi* Prof. Madan Mohan ,   Department of Electrical Engineering, Delhi Technological University, New Delhi, India.
Published: April 2020

This paper presents a hardware and software architecture for an indoor navigation of unmanned ground vehicles. It discusses the complete process of taking input from the camera to steering the vehicle in a desired direction. Images taken from a single front-facing camera are taken as input. We have prepared our own dataset of the indoor environment in order to generate data for training the network. For training, the images are mapped with steering directions, those are, left, right, forward or reverse. The pre-trained convolutional neural network(CNN) model then predicts the direction to steer in. The model then gives this output direction to the microprocessor, which in turn controls the motors to transverse in that direction. With minimum amount of training data and time taken for training, very accurate results were obtained, both in the simulation as well as actual hardware testing. After training, the model itself learned to stay within the boundary of the corridor and identify any immediate obstruction which might come up. The system operates at a speed of 2 fps. For training as well as making real time predictions, MacBook Air was used.
Comprehensive Models Towards for Feature Extraction and Recognition in Machine Learning
Authors:   Research Scholar, Department of Computer Science and Engineering, Vardhaman College of Engineering affiliated to JNTUH, Hyderabad, Telangana, India., Kumar* Mr. K. Kishore , Reddy Dr. H. Venkateswara ,   Professor, Department of Computer Science and Engineering, Vardhaman College of Engineering affiliated to JNTUH, Hyderabad, Telangana, India.
Published: April 2020

The scientific study of algorithms and statistical Models is often referred to as Machine learning that computer Systems use to perform specific tasks without using explicit Instructions, relaying patterns and interfaces instead. Ongoing Improvements in data frameworks just as computerization of Business forms by associations have prompted a quicker, simpler and progressively precise information investigation. Information Mining and AI procedures have been utilized progressively in the Examination of information indifferent fields extending from Medication to fund, training and vitality applications. Artificial Intelligence procedures make it conceivable to deduct important additional data from that information handled by information mining. Such important and noteworthy data causes associations to build up their future arrangements on a sounder premise, and to increase significant points of interest as far as time and cost. This investigation applies grouping calculations utilized in information mining and AI methods on that information got from people during the professional direction procedure, and attempt to decide the most suitable calculation. In this paper we study all methods and techniques used in data mining and machine learning and decide the best algorithm for machine learning
Elastic and Elasto-Plastic Contact Behavior on Ball Bearing
Authors:   Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia., Yau* Leong Chee , Zamri* Wan Fathul Hakim W. ,   Dept. of Mechanical and Manufacturing Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia., Din Muhammad Faiz Md ,   Dept. of Mechanical and Manufacturing Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia., Mohamed Intan Fadhlina ,   Dept. of Mechanical and Manufacturing Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia., Ahmad Azman ,   Dept. of Mechanical and Manufacturing Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia.
Published: April 2020

https://doi.org/Contact%20pressure%20has%20a%20great%20influence%20on%20the%20realiability%20and%20the%20life%20of%20ball%20bearings.%20However,%20most%20of%20the%20previous%20contact%20and%20wear%20model%20mainly%20focussed%20on%20the%20elastic%20model.%20In%20this%20paper,%20considering%20the%20contact%20between%20ball%20bearing%20and%20inner%20ring,%20both%20elastic%20and%20elasto-plastic%20contact%20model%20are%20established%20to%20investigate%20the%20contact%20behaviour%20on%20ball%20bearing.%20Three%20types%20of%20materials%20have%20been%20used%20to%20compare%20the%20contact%20behaviour%20which%20are%20bearing%20steel,%20silicon%20nitride%20and%20aluminium%20oxide.%20Aluminium%20oxide%20experienced%20highest%20maximum%20contact%20pressure%20for%20elastic%20model%20while%20silicon%20nitride%20experienced%20highest%20maximum%20contact%20pressure%20for%20elasto-plastic%20model.%20The%20stress%20contour%20of%20elastic%20model%20was%20elliptical%20shape%20while%20elasto-plastic%20model%20was%20elliptical%20shape%20before%20the%20material%20yields.
Time Bank using Public Blockchain
Authors:   CSE, BVRIT Hyderabad College Of Engineering For Women, India., Arepalli* Sindhura , Kalyani A. Naga ,   CSE, BVRIT Hyderabad College Of Engineering For Women, India., Uddagiri Chandrasekhar ,   CSE, BVRIT Hyderabad College Of Engineering For Women, India.
Published: April 2020

Time banking is a mode of exchange that lets people to use time as exchange currency instead of money. By registering in a time bank, people agree to take part in a system that involves earning and spending ‘Time Credits’. When they spend a unit of time on an activity to serve others, they receive one time credit. Later when they need service from others, they can use the time credits that they have earned and saved. Time credits are also transferable to their nominees. Block Chain technology is used to implement this design to ensure robustness, transparency and security. Ethereum, which is a public Block Chain protocol was used to remove third party intervention. Block chain is used as ledger to keep track of the activities in the time bank accounts, such as sign up, recording the credits, tracking the events etc.
Big Data - An Innovative Tool for Meeting Business Drivers in the Modern Era
Authors:   Associate Professor, PACE Institute of Technology and Sciences (Autonomous) Ongole, Andhra Pradesh, India., Rao* Madasala Ananda , Raghunath Udayagiri. ,   Associate Professor, PACE Institute of Technology and Sciences (Autonomous) Ongole, Andhra Pradesh, India., Kumar P. Bharath ,   Assistant Professor in PACE Institute of Technology and Sciences (Autonomous) Ongole, Andhra Pradesh, India.
Published: April 2020

Having distinguished intellectual insights of the business over rival firms empowers the organizations to make quick, smart and exceptional decision that gives a competitive advantage in the ever-changing complex business world. It is an arduous task to derive the intellectual insights from the abundant information may require investment of great effort, time and money. Undoubtedly, information is wealth. This paper a brief review study that offer vivid definition of big data application which has distinguished features and also analyzed how organizations create and deliver value from big data. We further made an attempt to propose consolidated characterization of big data, examples of business drivers, risk consideration in big data success.
Performance Analysis of Solar Desalination System for Improved Productivity by using Waste Heat of Household Chimney
Authors:   Department of Mechanical Engineering, National Institute of Technology Raipur, Raipur, C.G., India., Sachdev Taranjeet , Gaba Vivek Kumar ,   Department of Mechanical Engineering, National Institute of Technology Raipur, Raipur, (C.G.), India., Tiwari* Anil Kr ,   Department of Mechanical Engineering, National Institute of Technology Raipur, Raipur, (C.G.), India.
Published: April 2020

This work deals with the analysis of the proposed innovative humidification-dehumidification (HD) desalination unit in which waste hot air of kitchen chimney has been used for heating brackish water. The proposed system is configured with solar air heater also, thus both heated air and heated water has been used to improve the water yield of desalination unit compared to conventional system. Mathematical modeling of propose unit based on energy balance of flat plate air heater, humidifier, dehumidifier and brackish water tank has been used to evaluate the effect of operating condition. Potable water yield found to increase (with highest productivity of 6.5 kg/day) when mass flow rate of process air increases from 0.6 kg/min to 3 kg/min. Strong dependency of water mass flow rate has also been found as productivity increases (with maximum value of 6.7 kg/day and 7.5 kg/day) by increasing the mass flow rate of brackish water in humidifier and cold water in dehumidifier respectively. The higher initial temperature of brackish water also found beneficial as it increases productivity. Finally, the thermal performance of desalination unit has been evaluated in terms of Gain in Output Ratio and comparison has been made with conventional system. The higher GOR of the proposed system ensures the better utilization of thermal energy in potable water production.
Experimental and Numerical Analysis of Fluid Flow in Microfibers
Authors:   Assistant Professor, GMR Institute of Technology and Management, Rajam, Srikakulam. Andhra Pradesh, India., Ghadai* Madhusmita , Barik Subrat Kumar ,   Assistant Professor, Mechanical Engineering, Sri Sivani College Of Engineering.Srikakulam, Andhra Pradesh, India.
Published: April 2020

The flow in small geometries is of interest in applications like bioanalysis systems, micro-valves and flow through porous media. The flow generally straight- forward to predict since the flow is stratified and so the geometries are clear-cut. However, once it involves flow through twin scale porous media, the flow gets harder to predict. The flow-through porous media are usually applied to areas like composites manufacturing, paper making and drying of ore pellets. The aim of this paper is to check flows in small geometries with numerical and experimental ways to realize an enlarged understanding of porous media flow. The optical technique best fitted to this sort of geometries is micro image velocimetry (μ-PIV) and numerical calculations are done with computational fluid dynamics (CFD). μ-PIV is employed to analyze the flow in channels with one fiber and with fiber arrays of various patterns and densities. The impact consistency has on flow fields in channels is investigated with CFD.
IoT Sensors: Perspectives & Appliance
Authors:   Manav Rachna International Institute of Research & Studies, Faridabad, India., Manhas Pratima , Thakral Shaveta ,   Manav Rachna International Institute of Research & Studies, Faridabad, India., Verma Jyoti ,   Manav Rachna International Institute of Research & Studies, Faridabad, India.
Published: April 2020

IoT is defined as smart machines collaborating and communicating with different gadgets, objects, environments and framework, resulting in amount of data generated and that processed the data into useful actions which can be used to command and control things and ultimately help human beings to make life easier. IoT platforms play a central role within this evolution by providing significant building blocks. Major building blocks used in IoT is sensor. Sensors play an important role in IoT that allows the Internet of Things (IoT) by collecting the data for wiser decisions. This paper reviews various types of IoT sensors along with its application.
Multi Band Minswoki Fractal Antenna for 5G Applications.
Authors:   Department of ECE, SRKR, Bhimavaram, India., Venkatrao* Kolli , Priya Seera Hari ,   Department of ECE, SRKR, Bhimavaram, India., Raghavendra Rayi ,   Department of ECE, SRKR, Bhimavaram, India., Kiran M. N. Sai ,   Department of ECE, SRKR, Bhimavaram, India., Sumanth Diddey ,   Department of ECE, SRKR, Bhimavaram, India.
Published: April 2020

Forthcoming 5G wireless communication network will be combined version of all the wireless and wired networks including K-Band and Ka-Band. Presently in 4G wireless network, numbers of researchers have found different antennas which can combine maximum of four frequencies. This proposed antenna will work for at seven combined wireless 5G applications. The Proposed Multi Band Minswoki Fractal Antenna for 5G work for several services such as k-Band and Ka-Band(18Ghz-26.5Ghz and 26.5Ghz-40Ghz) application. The proposed prototype is extremely reduced in size having the dimensions 18×25 mm and is enhanced to be worked in the band from 20 to 50GHz.The antenna consists of a Fractal Shaped rectangular patch with micro strip line feed etched on FR4-Epoxy substrate with height 1.6 mm. The antenna has designed and optimized on High Frequency Structure Simulator (HFSS).
Dynamic Traffic Light Control
Authors:   Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India., priya* Dr. S. Sasi , S. Rajarajeshwari ,   Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India., G. Indumathi ,   Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India, P. Vinesha ,   Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India ., Janani A. Athithya ,   Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, India.
Published: April 2020

Intelligent Transport System (ITS) is blooming worldwide. The Traditional Traffic management system is a tedious process and it requires huge man power, to overcome this we have proposed an automatic Traffic monitoring system that has effective fleet management. The current transportation system at intersections and junctions has Traffic Lights with Fixed durations which increase the unnecessary staying time which intern harms the environment. An Adaptive traffic light control is implemented using SUMO simulator, that changes the duration of Green and Red light according to the traffic flow. This is an effective and efficient way to reduce the Traffic congestion. The traffic congestion is determined by taking the object count using deep learning approach (Convolutional Neural Network).
High Frequency Design and Analysis of Long Power Cable Inverter Fed Induction Motor Drive Method
Authors:   Research Scholar, Department of EEE, Vels Institute of Science Technology and Advanced Studies, Tamil Nadu, India., Ragul* R. , Shanmugasundaram N. ,   Associate Professor, Department of EEE, Vels Institute of Science Technology and Advanced Studies, Tamil Nadu, India., Thangavel S. ,   Associate Professor/EEE, National Institute of Technology Puducherry, Karaikal, India.
Published: April 2020

Industrial applications call for a long interconnected cable between Adjustable frequency drive (AFD) and. The distributed inductance and the capacitance associated with the wire and the coupling between the wires within the cable, generates overshoot voltage due to the high rate of rise motor or fall of the high frequency PWM output of the AFD. It may result in damage to either motor or the AFD. In this study, a high regularity model of the cable is developed to predict and analyze the role of the cable in the generation of voltage transients. The future method is confirmed on untried setup test bench of 5HP induction motor and 100 meter power cable run along AFD system. The motor reflected overshoot voltage is estimated by the planned model in good conformity with the trial measurements results. The cable behavior is analyzed on parameters in occurrence domain as well as moment field for a three core cable in terms of their equivalent circuits. The result is presented in MATLAB/SIMULINK.
Factors Affecting the use of Mobile Application in Tourism Industry
Authors:   Commerce and Management, Amrita VishwaVidhyapeetham,Coimbatore,India, S* Sangeetha K. , Sarasan Sowmya ,   Commerce and Management, Amrita VishwaVidhyapeetham, Coimbatore, India.., kumar Dr. Indu manish ,   Assistant Professor, Commerce and Management, Amrita VishwaVidhyapeetham, Coimbatore, India.
Published: April 2020

Mobile application has changed the world and day to day lives of people. It has also changed our travel experience by making it more reasonable, useful and effective. Acknowledging the tremendous influence of travel mobile applications towards the travel industry, it made the scholars to know the aspects that influence the traveller’s aim to use the mobile travel apps .Moreover the UTAUT are among the user’s intention model and used limitedly in tourism sector. Thus, the main purpose of the paper is to identify the intention of travellers to use the travel mobile app by using the UTAUT model. This study will come up with different perception of consumer’s adoption and preferences of travel mobile apps.
Wireless Sensor Network Localization using Artificial Intelligence and Simulated Annealing Optimization
Authors:   Département of Electrical Engineering, Ecole Normale Supérieure de l’Enseignement Technique, Rabat, Morocco., Abkari* Safae EL , Jilbab Abdelilah ,   Département of Electrical Engineering, Ecole Normale Supérieure de l’Enseignement Technique, Rabat, Morocco., Mhamdi Jamal EL ,   Département of Electrical Engineering, Ecole Normale Supérieure de l’Enseignement Technique, Rabat, Morocco.
Published: April 2020

In recent years localization of nodes in wireless sensor networks (WSNs) has become one the main features of applications. In fact, this issue has been widely explored by the scientific community that proposed many approaches in order to localize network nodes. However, artificial neural network (ANN) can be used as an operating method. Therefore, we aim in this paper to select the best suited structure of ANN to localize in WSN using a meta-heuristic technique. To optimize this procedure, we use the Simulated Annealing (SA) algorithm. We constituted a network of ESP8266 modules to create our WSN topology as well as the training and the testing data to evaluate the performances.
Mental Health in Emergency Medical Clinicians: Burnout, STS, Sleep Disorders. A Cross-Sectional Descriptive Multicentric Study
Authors: Secosan Ica , Bredicean Cristina , Crainiceanu Zorin Petrisor , Virga Delia , Giurgi-Oncu Catalina , Bratu Tiberiu
Published: April 2020

Emergency medicine specialists’ mental and physical health may be threatened if they experience burnout, sleep disorders, and secondary traumatic stress (STS). We aimed to investigate whether Emergency Medical Services (EMs) professionals’ mental and physical health status, depression, and anxiety are associated with burnout, STS, and sleep disorders. We hypothesized that burnout, STS, and the severity of sleep disorders would raise the risk of impaired mental, and physical health, depression, and anxiety in emergency medical clinicians. A cross-sectional multicentric study was conducted. In total,178 EMs specialists completed validated surveys to assess mental health complaints (Mental Health Inventory, MHI-5 screening test), physical health complaints (Ware scale), depression, and anxiety (Depression, Anxiety and Stress Scale-DASS), burnout (Maslach Burnout Inventory-general survey, MBI-GS), sleep disorders (Insomnia Severity Index, ISI), and STS (STS scale). This study aimed to analyze the influence that work-related factors can have on EMs specialists’ mental and physical health, depression, and anxiety. Specifically, mental health was predicted by exhaustion (β = 0.16), cynicism (β = 0.21), insomnia severity (β = 0.13), and STS (β = 0.35); physical health was predicted by exhaustion (β = 0.33) and insomnia severity (β = 0.18); depression was predicted by cynicism (β = 0.21) and STS (β = 0.46); and anxiety was predicted by STS (β = 0.63) and inefficacy (β = 0.20). Work-related stress symptoms such as burnout, STS, and sleep disorders were found to predict emergency medicine clinicians’ mental and physical health, as well to increase the risk of depression and anxiety. It is of most importance to develop practices to prevent such symptoms and to promote mental health and well-being among the emergency medicine personnel.
РІШЕННЯ БАГАТОМІРНИХ ЗАДАЧ ОПТИМАЛЬНОГО СИНТЕЗУ БАГАТОФУНКЦІОНАЛЬНИХ ІНФОРМАЦІЙНО-ВИМІРЮВАЛЬНИХ СИСТЕМ ЗА ДОПОМОГОЮ ЗАСТОСУВАННЯ МЕТОДУ СЕПАРАБЕЛЬНОГО ПРОГРАМУВАННЯ
Authors: Коломійцев Олексій , Третяк Вячеслав
Published: April 2020

В роботі проведено дослідження методів оптимального синтезу багатофункціональних інформаційно-вимірювальних систем (БІВС) та сформовані загальні вимоги до єдиного методу оптимізації. Установлено, що методом оптимального синтезу сучасних БІВС може бути сепарабельне програмування, яке дозволяє вирішити питання багатомірності задач. Метод дозволяє отримані результати різних часток задач оптимального синтезу БІВС «зшивати» в єдине ціле. При цьому, вирішуються наступні задачі: багатомірності оптимізації технічних параметрів БІВС, зходимості отриманих результатів оптимізації, побудови кривих обміну тощо. Розглянуто переваги методу сепарабельного програмування перед існуючими методами оптимізації БІВС. Встановлено, що запропонований метод можливо застосовувати для рішення будь-якої задачі оптимального синтезу (оптимізації) багатофункціональних і однофункціональних сучасних ІВС, у тому числі, окремо, – інформаційного і вимірювальних каналів системи.
ВПЛИВ СУЧАСНИХ ІНТЕГРАЦІЙНИХ ТА ДЕЦЕНТРАЛІЗАЦІЙНИХ ЗРУШЕНЬ НА РОЗВИТОК СИСТЕМИ ЕКОНОМІЧНОЇ БЕЗПЕКИ КРАЇНИ
Authors: Антоненко Валентина
Published: April 2020

Стаття присвячена актуальній темі – розвитку державної системи безпеки в умовах інтеграційних та дезінтеграційних процесів, що стрімко і активно відбуваються у сучасному світі. Досліджено історію становлення та наукового формування категорії «економічна безпека держави» та її економічної сутності. Зроблений ретроспективний контент-аналіз наукових позицій вчених у цій галузі досліджень. Означені певні особливості сучасного трактування цієї категорії. Проаналізовано систему економічної безпеки України як складову загальної системи міжнародної безпеки, а також як систему внутрішніх підсистем безпеки її регіонів. Досліджено взаємозв’язок зазначених систем; визначено основні перспективи, переваги та гальма України на шляху євроінтеграції; накреслені внутрішні проблеми у сенсі забезпечення безпеки держави на тлі розбіжностей між безпекою держави як цілісного утворення та безпекою її регіонів. Доведено історичність певного конфлікту у розвитку країни, який пов’язується із наявністю так званих відцентрових сил. У якості виходу з такого конфліктного стану запропоновано використання центристського консенсусу та методу «гри на акордеоні», сутність яких зводиться до обґрунтовано виваженого проведення внутрішніх реформ в країні.
ANÁLISIS DE ACTIVIDAD ANTIMICROBIANA DE LA SECRECIÓN CUTÁNEA DE LA RANA ARBORÍCOLA, Phyllomedusa ecuatoriana (Phyllomedusinae)
Authors: Bonilla Jiménez Stefanny , Navarrete María Augusta , Valdivieso Rivera Fernando , Morán Marcillo Giovanna , Proaño Bolaños Carolina
Published: April 2020

Las infecciones causadas por microorganismos resistentes representan un desafío para la salud mundial, debido a la falta de nuevos antibióticos y la elevada tasa de resistencia a los existentes. Tal es el caso de Escherichia coli y Staphylococcus aureus, patógenos prioritarios para el desarrollo de nuevos antibióticos en las categorías crítica y alta, respectivamente, según la Organización Mundial de la Salud. [1] Una alternativa a las infecciones resistentes son los péptidos antimicrobianos aislados de secreciones de la piel de anfibios. Estos péptidos son capaces de inhibir el crecimiento de microorganismos y evitar la generación de resistencia debido a sus múltiples mecanismos de acción. [2]
USO DE PROBIÓTICOS PARA ESTIMULACIÓN DEL SISTEMA INMUNE EN POLLOS DE ENGORDE
Authors: Larrea Álvarez Marco , Larrea Álvarez César , Ortega Paredes David , Vinueza Burgos Christian , Šefcova Miroslava
Published: April 2020

Estudios recientes han vinculado a Campylobacter spp. con la inflamación del intestino, lesiones en el ciego y bajo desarrollo del tejido linfoide asociado con el intestino (GALT) en pollos broiler; lo cual influye negativamente en la ganancia de peso y predispone a los individuos a contraer infecciones. [1] La utilización de probióticos, para prevenir la colonización intestinal por Campylobacter spp. podría fomentar una mejor absorción de los nutrientes y reducir el uso de antibióticos administrados en forma de promotores de crecimiento. [2] Además, su aplicación podría promover un adecuado desarrollo del GALT. En este trabajo se exploró la influencia del uso de probióticos en la abundancia de citoquinas (inflamación) y presencia de linfocitos en el ciego de pollos broiler infectados con Campylobacter coli.
PREVALENCIA DE Escherichia coli RESISTENTE A COLISTINA Y CEFALOSPORINAS DE TERCERA GENERACIÓN AISLADAS DE CARCASAS Y CIEGOS DE POLLOS BROILER EN QUITO-ECUADOR
Authors: Márquez Andrea , Ortega Paredes David , Fernández Moreira Esteban , Vinueza Burgos Christian
Published: April 2020

La colistina se considera como última alternativa en el tratamiento de las infecciones causadas por enterobacterias resistentes a los carbapenémicos. La resistencia móvil a este antimicrobiano se encuentra mediada por los genes mcr (mobile colistin resistence), de los cuales se han reportado 9 tipos. Estos genes codifican fosfoetanolamina transferasas capaces de modificar el lipopolisacárido de la membrana externa de la bacteria para disminuir su afinidad por la colistina. Los genes mcr han sido relacionados con la producción cárnica, debido a los grandes volúmenes de antibióticos que se emplean en las explotaciones animales.
PERFIL FENOTÍPICO DE RESISTENCIA A ANTIMICROBIANOS DE Enterococcus spp. AISLADOS DE PINZONES DE GALÁPAGOS, ECUADOR
Authors: Racines Diana , Baquero María Inés , Cruz Marilyn , Duque Viviana , Vélez Alberto , Vinueza Christian , Giacoboni Gabriela
Published: April 2020

La Resistencia a Antimicrobianos (RAM) es la capacidad de las bacterias para evadir a los antibióticos, siendo un problema mundial. [1] Los Enterococcus, son cocos gram positivas, forman parte de la microbiota intestinal de algunos animales. Son consideradas centinela para determinar perfiles de resistencia a antimicrobianos, por su fácil transferencia y adquisición de genes. Existen reportes de cepas de Enterococcus en playas, y como parte del microbioma en muestras fecales de pinzones de Galápagos. [2,3]
PREVALENCIA DE Escherichia coli-ST131 PRODUCTORAS DE BLEE EN AISLADOS DE BACTERIEMIAS DESDE 2009 AL 2018
Authors: Zurita Jeannete , Sevillano Gabriela , Paz y Miño Ariane , Haro Nathalí
Published: April 2020

La secuencia tipo Escherichia coli 131 (E. coli-ST131) se identificó por primera vez entre los aislados productores de β-lactamasas de espectro extendido (BLEE) en Asia, Europa y Norteamérica en el 2008. [1] Este clon ha emergido rápidamente a nivel mundial hasta llegar a ser un importante patógeno extra-intestinal, siendo el más predominante gracias a su capacidad de adaptación. [2]
Assessing non-technical employability skills in public relations pedagogy: reflections of an educator and students
Authors: Sitto Karabo
Published: April 2020

Higher education faces the pressure of training students with non-technical employability skills, as well as meeting academic rigour and curriculum outcomes with limited resources. Vocational disciplines such as Public Relations (PR) grapple with the challenge of preparing students for the profession by developing the necessary skills. In an attempt to develop these skills, third-year South African university students were given a class assessment that required reading a number of set readings and working in groups. I present how, in the design of the module assessment, I included, through active pedagogy and participatory learning, the development of non-technical employability skills in PR, in addition to curriculum outcomes. I share an outline of the assessment, as well as the feedback from students from their responses to a questionnaire administered at the end of the semester. I discuss my own reflections on how the use of this assessment targeted curriculum outcomes and multiple non-technical employability skills as required within a third-year PR module. I highlight how this design was achieved without onerously increasing the number of assessments or resources needed. Through this article, I present practical student engagement in the classroom through effective incorporation of a flipped learning approach in an effort to develop non-technical employability skills.Key words: participatory learning, non-technica employability skills, public relations, flipped classroom, assessments, graduate attributesHow to cite this article:Sitto, K.M. 2020. Assessing non-technical employability skills in public relations pedagogy: reflections of an educator and students. Scholarship of Teaching and Learning in the South. v. 4, n. 1, p. 51-68. April 2020. Available at: https://sotl-south-journal.net/?journal=sotls&page=article&op=view&path%5B%5D=136This work is licensed under the Creative Commons Attribution 4.0 International License.To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
INCREASING YOUTH KNOWLEDGE IN HANDLING SYNCOPE CASES IN STUDENTS OF THE SENIOR HIGH SCHOOL OF ANTARTIKA, BUDURAN, SIDOARJO
Authors: Lestari Marlita Dewi , Monika Pinik , Ekasari Elsa Meilani , Songupnuan Mirna Paramitha , Syair Fausta Fadir , Wahyuningsih Sri , Ningrum Indriani Cahya
Published: April 2020

Health promotion activities about first aid for syncope cases of the Senior High School of Antartika, Buduran, Sidoarjo is one form of community service in the form of counseling aimed at increasing children's knowledge about how first aid in syncope besides fatigue, syncope can also be caused by overheating, being trapped in space closed to lack of oxygen, shocked or surprised. The implementation of these activities on November 20, 2019 took place at the Senior High School of Antartika, Buduran, Sidoarjo. The target is Senior High School students of Antartika, Buduran, Sidoarjo. Before the activity is carried out, there is a process of compiling the activity for approximately 2 weeks before the activity is carried out, starting from determining the theme of counseling to submitting licensing to the parties concerned. As a form of evaluation, the activity was attended by 30 class X students, participants took part in the activity happily and looked very enthusiastic, health promotion activities could run on time and smoothly. Keywords: Knowledge, syncope cases, first aid health promotion.
INCREASING YOUTH KNOWLEDGE IN HANDLING MENSTRUAL PAIN IN STUDENTS OF THE ISLAMIC JUNIOR HIGH SCHOOL OF AL-MU’AWANAH, MINGGIR, SIDOARJO
Authors: Sulistyowati Agus , Kusuma Edgina Fidela , Dinia Ria , Anggarini Lela , Anugraheni Junaidah , Fuankali Elisabeth Febi , Siwi Puji Yudha Raka
Published: April 2020

Health promotion activities about the first aids during menstrual pain in the Islamic Junior High School of Al-Mu'awanah, Minggir, Sidoarjo is one form of community service in the form of counseling aimed at increasing children's knowledge about how the first treatment during menstrual pain which is an event of blood loss from the womb of a woman when she reaches baligh. The implementation of these activities on November 13, 2019 took place at the Islamic Junior High School of Al-Mu'awanah, Minggir, Sidoarjo. The target is all of the students of the Islamic Junior High School of Al-Mu'awanah, Minggir, Sidoarjo. Before the activity is carried out, there is a process of compiling the activity for approximately 2 weeks before the activity is carried out, starting from determining the theme of counseling to submitting licensing to the parties concerned. As a form of evaluation, the activity was attended by 26 students of VII grade of the Islamic Junior High School of Al-Mu'awanah, Minggir, Sidoarjo, participants took part in the activity happily and looked very enthusiastic, health promotion activities could run on time and smoothly. Keywords: Youth knowledge, menstrual pain, health promotion of first aids.
IMPROVING KNOWLEDGE ABOUT CLEAN AND HEALTHY LIVING BEHAVIORS IN CHILDREN
Authors: Putra Kusuma Wijaya Ridi , Ahmad Sri Wahyuni , Anggita Leli , Milenia Marita , Ilmiyah Nafarotul , Wijaya Apri , Hiyasti Tita
Published: April 2020

Health promotion activities on clean and healthy living behavior at the Elementary School of Rangkah Kidul, Sidoarjo is one form of community service in the form of counseling aimed at increasing children's knowledge about the importance of clean and healthy living behaviors in daily activities. The activity was carried out on November 18, 2019 at the Elementary School of Rangkah Kidul, Sidoarjo. The target is the students of the Elementary School of Rangkah Kidul, Sidoarjo. Before the activity is carried out, there is a process of compiling the activity for approximately 3 weeks before the activity is carried out, starting from determining the theme of counseling to submitting permits to the parties concerned. As a form of evaluation, the activity was attended by 40 students from class III of the Elementary School of Rangkah Kidul, Sidoarjo. Participants participated in the activity with great enthusiasm, health promotion activities were able to run on time and smoothly. Keywords: Clean and healthy lives, washing hand, health behaviors knowledge.