bluuebunny/crossref_metadata_2025 huggingface dataset:
Control of Modular Multilevel Converter Fed 3-Phase Induction Motor using DTC with PI Controller
Authors:   Research Scholar, Dept of EEE, Acharya Nagarjuna University, Guntur, AP, India., Mudhavath* Sriramulu Naik , Rao Dr. Gudapati Sambasiva ,   Associate Professor, Dept of EEE,RVR&JC College of Engineering, Guntur, AP, India.
Published: January 2020

In this paper 3-level Modular Multilevel Converter fed direct torque control (DTC) of Induction Motor (IM) is proposed. The proposed Modular Multilevel Converter (MMC) replaces a three-level Neutral Point Clamping (NPC) converter to drive an Induction Motor, because of its high voltage power range. The main drawback of the DTC of NPC fed IM using conventional PI controller is high torque, stator flux ripples and speed of IM is decreasing under transient and steady state operating conditions. The work of this paper is to study, evaluate and compare the techniques of the conventional DTC with NPC and DTC with MMC using PI controller, applied to the induction motor through MATLAB/Simulation.
Smart Monitoring of Carbon Monoxide using Internet of Things
Authors:   Assistant Professor, Department of Electrical and Electronics Engineering, Sri Ramakrishna Engineering College. Coimbatore, Tamil Nadu, India., Abinaya* Ms. I. , Gowsika  ,   Department of EEE, Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India., S. P. Jothika ,   Department of EEE, Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India., Dharani  ,   Department of EEE, Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India., Vidhya H. ,   Assistant Professor, Department of Electrical and Electronics Engineering of Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India.
Published: January 2020

Every year, it is noted that at least 430 people die from accidental Carbon monoxide poisoning. Carbon monoxide is an odourless, colourless and toxic gas formed by the incomplete ignition of fossil fuels. It is also called as “silent killer” as it is difficult to detect by humans without using some detecting technology. When people are exposed to carbon monoxide gas, the carbon monoxide molecules will displace the oxygen in the body and lead to poisoning. Thus, the concentration of CO overtime passes a threat which may even lead to death. To overcome this, a smart device is designed to monitor the carbon monoxide level overtime and sound an alarm before dangerous levels of CO accumulate in an environment. The sensor MQ7 senses CO gas and once it reaches the threshold limit 35ppm(parts per million) as per U.S standards, the control passes to the Arduino indicating the seriousness through the alarm. Once the indication is done the immediate measure is to provide ventilation in the particular area.
A Novel Perspective for Organizing the Conflicting Security Tasks in a Dynamically Distributed Systems Environment
Authors:   Professor, Dept of CSE, Aditya College of Engineering, Surampalem, India, Murthy* Dr.G.S.N , Veerraju T. ,   Associate Professor, Dept of CSE, Aditya College of Engineering , Surampalem, India., Kumari T.Satya ,   Assistant Professor Dept of CSE, Aditya College of Engineering, Surampalem, India., Lakshmi V.Anantha ,   Associate Professor, Dept of CSE, Aditya College of Engineering, Surampalem, India.
Published: January 2020

Distributed systems environment comprises set of Hosts, workstations, terminals, Different Servers, bridges, Gateways, printers and so on. The sharing of resources and information in this distributed systems and networking environment increases day-by-day. This is more and more prone to attacks and hazards. Now-a-days, as threats become more widespread, attackers get smarter and the infrastructure required securing. Hence, in large systems, it is essential to distribute the management tasks by defining the security policies by the systems manager for controlling, monitoring and organizing employee’s access. In some cases, it is possible to employee’s tasks may conflict or overlap. To avoid this, we present a Novel approach for organizing Conflicting Security tasks that has been specifically designed with consistency. It organizes tasks into a tree shaped structure to maintain significant representation.
Impact of Variation of Device Parameters on the Electrical Characteristics of Double-Gate Mosfets
Authors:   Department of Electronics and Communication Engineering (EDT), S R Engineering College, Warangal, Telangana, India., Jabeen* Samra , Jha S. ,   Department of Electronics and Communication Engineering, S R Engineering College, Warangal, Telangana, India., Anuradha P. ,   Department of Electronics and Communication Engineering, S R Engineering College, Warangal, Telangana, India.
Published: January 2020

Very large scale integrated circuits (VLSI) have been possible owing to the shrinking of metal-oxide semiconductor field-effect transistors (MOSFETs). By reducing the dimensions of the device it is possible to have high density on the chip. This increases the number of logical functions that can be implemented on a given dimension of the chip. Along with the advantages associated with the shrinking of the devices, it also has certain drawbacks commonly known as short-channel effects. Due to these effects, device characteristics deviate from its expected values. There are many techniques through which these deviations can be minimized. One of the promising and highly researched techniques these days is the use of Multi-gate (MG) transistors in VLSI. Double-gate (DG) transistor is one among MG transistors. In DG MOSFET, substrate is surrounded by gates from two opposite sides. This leads to more control over the channel electrons by the gate terminals. In this paper, the consequence of change of various device constraints on the electrical characteristics of the DG MOSFETs will be investigated. Through the results, one can know to what extent the electrical properties changes when the dimensions and/or material properties are changed. This will be very helpful in determining the maximum current associated with those dimensions of DG MOSFETs.
Fuzzy Logic in Student’s Achievement
Authors:   Tashkent university of Information technologies, Tashkent, Uzbekistan., Usmonov* Botir
Published: January 2020

The productiveness of teaching students in universities is important to evaluate for declaring the results of their work. Their learning mainly depends on such factors as attendance, productiveness of learning, the material-technical base of the university and etc. Generally, when one interesting to assess the dependencies of these factors, an inventory of all elements is usually carried out, and management is advised to make a certain decision. But the influence of factors on student learning is not carried out. This paper aims to present an assessment of this student learning ability using system fuzzy logic. In this investigation discussed a procedure that can be used to assess students' performance and learning ability. This process is completely based on the principle of obtaining fuzzy sets about factors affecting learning: class attendance, learning efficiency and infrastructure instruction environment, which are objects of fuzzy arithmetic and allows one to get crisp values of performance results. In the paper is applied the fuzzy set method, which is used for further analysis with additional factors affecting student learning.
Regression and ANN Models of Pulse Rate for Tricycle Rickshaw
Authors:   Assistant Professor, Jawaharlal Darda Institute of Engineering & Technology, Yavatmal, Maharashtra, India., Gorde* Mahesh S. , Borade Dr. Atul B. ,   Principal, Government Polytechnic, Gadchiroli, Maharashtra, India.
Published: January 2020

Designing for the oppressed part of the generalized public is one of the fundamental prerequisites for comprehensive design in a developing nation like India. With a spurt being developing inside a nation, the financial distance between those who are well off and the wealthy not are expanding and this divergence is making social agitation in the nation. Tricycles rickshaw is a small-scale ordinary means principally utilized for transportation. Numerous deficiencies were reported in the existing type of tricycle. For optimization of those deficiencies, three different models of cycle rickshaw were utilized, and the input parameter that regulates the consumption of human energy and performance was identified. Regression Analysis (RA) and Artificial Neural Networks (ANN) were utilized for analysis of the experimental data. Both RA and ANN modeling were assessed statistically with the aid of a software tool. RA of the experimental data reveals that input variable load is a most prominent parameter to be focused on tor achieving the objective of expending minimum human energy by a rickshaw puller whereas ANN studies acknowledged the assistance of multiple factors in individual energy. However, load is a most prominent parameter for minimization of individual energy as Outcome. Optimization of input variables using Min-Max principle for various regression models yielded the optimal solution at crank length 167 mm and wheel diameter 675mm for human energy for all linear regression models.
Near-Electrode Plasma at Electrolyte Discharge on the Frequency Selective Surface
Authors:   National Research Nuclear University MEPhI (MEPhI), Moscow, Russian Federation., Kirko* Dmitri
Published: January 2020

Near-cathode plasma of the discharge in electrolyte and its interaction with electrodes was researched in the work. Electrical parameters of the discharge for two electrolyte compositions were investigated. Temperature and concentration of the near-cathode plasma of this discharge were measured using spectral methods. Appearance of sphere-like formations and pores surface is observed on the surface of the titanium electrodes. Possible explanation of the formation of these superface structures is proposed. The effect of the discharge in the electrolyte on the electrode surface was studied in this work. We consider properties of electrical current near the titanium electrode due to the presence a pores structure on this electrode. We can suppose that the current near the surface of cathode consists from a number of separate current channels with the 0.1-2 μm thick at a current in the region 10-8-10-6 А in the separate channel.
Methodological Development of Mathematical Modeling Techniques in Health Care
Authors:   Department of Mathematics, Annamalai University, Annamalai nagar, Tamilnadu, India., Seenivasan* M. , Chakravarthy V. J. ,   P. G. Department of Computer Science, The New College, Chennai, Tamilnadu, India., Mydeen P. Hakkim Devan ,   P. G. Department of Computer Science, The New College, Chennai, Tamilnadu, India.
Published: January 2020

The advancement of mathematical model has utilized for simulating the output of medical is a development area over medicine whereas the modeling can be mentioned with several activities namely simulation or decision analysis and predictive modeling. However, the traditional modeling technique utilized in planning of health service, assessment reports and its efficiency, financing about health care and assessment in budget impact, assessment in health economics, surveillance of infectious disease and other health care application. Therefore, the mathematical modelling is performed as a frequent and timely benefit in order to make rapid decision making while facing investigation with several issues like time elapsing, unusual and unethical particularly projected for future. This paper focused in applying the mathematical modeling to accomplish an optimal decision making in healthcare whereas this study discuss about the specific modeling concepts namely decision tree and fuzzified rule tables on evaluation of health economics and better service planning that my replicate the individual experience or patients cohorts.
Low Latitude Ionosphere Error Correction Algorithms for Global Navigation Satellite System
Authors:   Department of ECE, G. Narayanamma Institute of Technology and Sciences, India, Shivani* B. , Raghunath Swapna ,   Department of ECE, G. Narayanamma Institute of Technology and Sciences, India.
Published: January 2020

The ionospheric errors occur due to loss of data in ionospheric region. Low latitudinal regions are the most affected regions due to ionospheric errors and also causes loss of signal or data for space based augmentation system(SBAS) such as aircraft. So to reduce these ionospheric errors in low latitude regions of Global Navigation Satellite System(GNSS) Klobuchar algorithm is used which mitigates the errors occurring in low latitude regions and is used as a standard algorithm in US Global Positioning System(GPS) till now; however, this model can reduce the ionospheric error by approximately 50-60% Root Mean Square(RMS) error in low-latitudes. So in order to increase the percentage deviation of errors in low-latitude regions, Enhanced Klobuchar algorithm is proposed which enhances the correction of low-latitude ionospheric errors approximately up to 80% RMS for a single frequency GPS user. In this paper error correction algorithms are performed over International GPS Service(IGS) data was collected using Hyderabad station receiver, Telangana (latitude- 17.41728°, longitude-78.55088°) in southern part of India during year 2016.
Estimation of Suspended Sediment Yield using Artificial Neural Network Model
Authors:   Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, AP, India., Yadav* Arvind , Pajjuri Manikanta. ,   Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, AP, India., Tanuja Kondapanani Lakshmi ,   Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, AP, India., Nagarjuna Pendurathi ,   Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, AP, India., Satyannarayana Penke ,   Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, AP, India.
Published: January 2020

Estimation of the suspended sediment yield is important for the planning and management of water resources and protection of the environment. Environmental change influences sediment generation and the transport and the consequent sediment load in river. In this study, artificial intelligence-based technique like the artificial neural network (ANN) is proposed for sediment yield estimation in the Godavari river basin, India. The ANN is one of the appropriate data-mining techniques that help model the complex phenomenon of sedimentation. In this study the prediction of the suspended sediment load is done using the ANN techniques by using the water discharge and water level data from 1970 to 2015 as inputs at Polavaram gauge station in Godavari river basin, India. The results demonstrate that the ANN shows a satisfactory performance based on the root mean squared error (RMSE), mean square error (MSE), mean absolute error (MAE) and correlation coefficient (r) error statistics and provided more accurate results.
Predicting Student Performance using Classification and Regression Trees Algorithm
Authors:   Professor, Department of CSE, Sir Cattamanchi Ramalinga Reddy College of Engg, Vatluru, Andhra Pradesh, India., Krishna* Dr. M , Rani Bandlamudi S B P ,   Asst. Professor, Department of CSE, Sir Cattamanchi Ramalinga Reddy College of Engg, Vatluru, Andhra Pradesh, India., Madhavrao B ,   Asst. Professor, Department of CSE, Sir Cattamanchi Ramalinga Reddy College of Engg, Vatluru, Andhra Pradesh, India., Chowdary S M B ,   Asst. Professor, Department of CSE, Sir Cattamanchi Ramalinga Reddy College of Engg, Vatluru, Andhra Pradesh, India.
Published: January 2020

Now a days Internet and Web technologies providing students opportunities for flexible interactivity with study materials, peers and instructors. And also generating large amounts of usage data that can be processed and reveal behavioral patterns of study and learning. In this paper, to predict course performance we extracted data from a Moodle-based blended learning course and build a student model. Classification and Regression Trees (CART) decision tree algorithm was used to classify students and predict those at risk, based on the impact of four online activities: message exchanging, group wiki content creation, course files opening and online quiz taking. The correct classifications in results prove that the model is sensitive to categorize very specific groups at risk.
Quality Assessment of "Stress-Strength" Models in the Conditions of Big Data
Authors:   Head of the Department, PhD, Russian Scientific-Technical Information Center for Standardization, Metrology and Conformity Assessment (STANDARTINFORM), Moscow, Russia., Buryi* A.S. , Lomakin M.I. ,   Associate Director for research, PhD of Engineering, and Economic Sciences, FSUE “STANDARTINFORM,” Moscow, Russia., Sukhov A.V. ,   Professor at the Department, PhD, of the Moscow Aviation Institute (National Research University), Moscow, Russia.
Published: January 2020

The conceptual approach to assessing the quality of complex structural systems based on the large data generated during the monitoring of structures of controlled objects is justified. The methodological basis of the proposed study is the big data analytics, the methods of processing unstructured information, the technology of representing the process of changing structures of complex objects in the form of a Markov's type sequence, as well as methods of statistical analysis. It is proposed: to structure monitoring data by time slices (in the form of subsets of "stress" level measurements of controlled parameters) corresponding to a certain stage of the object's life cycle; to simulate a change in the structure of an object in the form of a dichotomous Markov chain; on the basis of the "stress-strength" model, to evaluate probabilistic quality indicators of the structural state of the controlled object, while the indicator of the transition from state to state is the fact that the level of "stress" exceeds the value of "strength". The study of the "stress-strength" model is reduced to the problem of finding the extremum of a definite integral with equality constraints, which is one of the isoperimetric problems. The results can be used in decision support systems during the structural analysis of complex systems. The effectiveness of the investigation is confirmed by a numerical example.
Optic Disk Segmentation through Edge Density Filter in Retinal Images
Authors:   Research Scholar, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India., Reddy* Y. Madhu Sudhana , Ravindran R. S. Ernest ,   Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India.
Published: January 2020

Accurate and Efficient Detection of Optic Disk (OD) is an important task for the diagnosis of various eye related diseases such as Diabetic Retinopathy, Glaucoma, and papilledema in automatic retinal image analysis. This paper presents a novel and robust OD detection framework which starts with the detection of OD pixel, a center of OD region. Next, based on the ODP, a sub-image extraction is accomplished and it is processed for blood vessel removal through morphological technique. Finally, a new filter, called as Edge Density Filter (EDF) is accomplished to find out the extract the OD region in the Blood vessel removed, Edge detected and binarized sub-image. Two publicly available datasets, MESSIDOR and DRIVE were used to evaluate the performance of proposed method and the performance is measured through performance metrics such as Overlap Score, Sensitivity and Accuracy.
Mobile Application Based Home Automation with Security Advancements utilizing IoT and Computer Vision
Authors:   Student at the School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu- 632014, India., Bagaria* Aman , Khemani Himanshu ,   Student at the School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu- 632014, India.
Published: January 2020

Security has consistently been a numbers game. Time to discovery and time to reaction have been measurements security groups have looked to diminish since the get-go (or if nothing else the start of PCs…). However, what does it take to really decrease that number? Mechanizing security undertakings like the ones described in this paper is no longer a "nice to have." It's a "need to have." Automating house features incorporating security advancements can alleviate many of today’s biggest security issues and offer us group operational efficiencies that can profit us now and over the long haul. Our work aims in automatic handling of security operations-related tasks. It takes care of executing these tasks, such as scanning for vulnerabilities, with minimal required human intervention. We propose a complete smart security system with home automation techniques complementing security advancements. The system is controlled by a mobile application which works in dual mode. In the first mode, the owner can control the home upon his/her discretion and can access the home automation features such as unlocking their house using the same application without being physically present. While the other mode requires the person (trying to enter the house) to be physically present and provide his fingerprint biometrics and face detection to access the house. The photo of the person is sent to the owner for his confirmation and the owner can then decide whether to identify and allow the guest as an acquaintance or to report to the police as a suspect. Both modes allow the use of home automation techniques using the dial pad of the owner’s phone.
A Novel Design of Compact 28 GHz Printed Wideband Antenna for 5G Applications
Authors:   Ph.D. Scholar, Department of Electronics and Communication Engineering, ICFAI University, Dehradun, India., Prachi*  , Gupta Dr. Vishal ,   Professor, Department of Electronics and Communication Engineering, ICFAI University, Dehradun, India., Vijay Sandip ,   Director, Shivalik College of Engineering, Dehradun, India.
Published: January 2020

In this antenna study, a compact thin profile wide band patch antenna is introduced for fifth generation. The overall dimensions of this compact antenna is 5 mm x 5.26 mm only, operating in the 28 GHz frequency in Ka-band. Built on the Rogers Rt/Duroid 5880 substrate having thickness of 0.254 mm, the antenna provides 2.1 GHz (27.3-29.2 GHz) of bandwidth at below -10dB reflection coefficient. The novel proposed design is fed by the coaxial feed having inner radii of 0.254 mm. The motive of this study is to improve the bandwidth by utilizing the DGS (Defective Ground Structure) technique and further to procure the high impedance matching, slotting technique is applied on the partial ground plane in which an X shaped slot is engraved resulting a reflection coefficient of -20.03 dB. The proposed antenna provides desirable values of Gain and Directivity of about 5.2 dB and 6.16 dBi respectively. Discrete parameters of designed antenna such as voltage standing wave ratio, radiation patterns, surface current distribution are also evaluated to study antenna characteristics which implies for 5G applications.
Effect of Nano Silica on Mechanical Properties of Concrete
Authors:   Department of Master of Technology, Kashmir University, J & K, India., Ganie* Younus Akram , Singh Brahmjeet ,   Department of Master of Technology, Guru Nanak Dev Engineering College. Punjab, India., Singla Sandeep ,   Professor, Department of Master of Technology, Guru Nanak Dev Engineering College. Punjab, India., Chandel Sandeep Kumar ,   Department of, Master of Technology, I.K. Gujral Punjab Technical University, Punjab, India.
Published: January 2020

Nano materials are undoubtedly one of the versatile materials whose properties hasn’t been much explored yet. Regular efforts are being made to perk up the quality of concrete on various fronts to make it more sustainable. In this work, Nano-silica (Sio2) has been selected to induce it in M30 base mix design and workability test and strength tests has been selected which will be carried out on cube and beam specimens casted and cured for seven, fourteen and twenty eight days of duration. Properties of OPC and nano Silica powder has been note down. Nano silica comes in different surface sizes in market i.e. 50 m2/g, 250 m2/g and 500 m2/g. Current study chose Sio2 having 250 m2/g surface area as was available in local market. Concrete mixes are designed by taking 0.5%, 1%, 1.5% and 2% of Nano-silica with respect to weight of cement. The addition of nano silica proved to be beneficial to the mechanical properties which increased significantly than the base mix .Also workability test showed moderate values of slump which also decreases when Nano-silica proportion is increased.
New Polyalphabetic Substitution Scheme for Secure Communication
Authors:   School of Computer Science, Mahatma Gandhi University, Kottayam, India., Kartha* Ranju S. , Paul Dr. Varghese ,   Department of CSE, RSET, Cochin, India.
Published: January 2020

The internet is a very powerful and useful tool for communication, information and connectivity. So it is very important to keep yourself safe and secure online. The best way of secure information is encryption; there are many cryptographic algorithms available for encryption. These cryptographic algorithms are classified according to their encrypting process; as substitution cipher or transposition cipher. In Polyalphabetic ciphers, the substitution rule changes continuously from character to character according to the keyword and plaintext. Vigenere cipher is considered to be the most efficient Polyalphabetic substitution cipher. But it is vulnerable to attacks, due to its repeating nature of the keyword. To overcome this vulnerability, here we are presenting a new Polyalphabetic substitution scheme which uses infinite number of 26 x 26 random tables for encryption. During encryption, whenever the keyword repeats, this proposed Polyalphabetic substitution cipher generates a 26 x 26 alphabetical random table. Instead of using the same Vigenere Table here we are using an infinite number of alphabetical tables depending on the length of the plaintext and keyword. Each random table will be completely independent from the previous table. This will reduces the repeating sequences in the ciphertext. The repeating nature of the keyword does not help the crackers to break this code. So this proposed Polyalphabetic substitution cipher is considered as an unbreakable cryptosystem. The Proposed Polyalphabetic cipher can provide security for many applications such as web transactions, web transactions, personal emails, secret information transmitted between public or private organization, military application etc.
HVAC and Audio Control System using Gesture Recognition in Cars
Authors:   Department of Electronics and Communication Engineering, Sridevi Womens Engineering College, Hyderabad, India., Manasa* Ms. K , Padmaja Dr. V. ,   Professor, Department of Electronics and Communication Engineering, VNR Vignana jyothi Institute Engineering and Technology, Hyderabad, Telangana, India., Deepa CH. Naga ,   Assistant Professor, Department of Electronics and Communication Engineering at VNR Vignana jyothi Institute Engineering and Technology, Hyderabad, Telangana, India.., Reddy V.Sagar ,   Assistant Professor, Department of Electronics and Communication Engineering, VNR Vignana Jyothi Institute Engineering and Technology, Hyderabad, India.
Published: January 2020

Gesture recognition technology entails a wide variety of touch-free interaction capabilities which controls notably contribute to easing our interaction with devices, reducing the need for a keys, or button. To recognize the different hand gestures for different control system in cars is done through image processing. A new method for the hand gestures is that, the hand part gets extracted from the background using background subtraction algorithm using raspberry pi, there is no need of buttons for using of some equipments in different vehicles by using an advanced technology. In gesture recognition technology we can control the audio and HVAC system automatically instead of searching for a particular button, which causes distraction while driving.
Deep Neural Network based Abdominal Aortic Aneurysm Identification with PSO Optimization
Authors:   Research Scholar, Department of Biomedical Engineering, Bharath University, Chennai, India., Anandh* S. , Vasuki Dr. R. ,   Professor and Head, Department of Biomedical Engineering, BharathUniversity, Chennai, India., Baradie Dr. Raid Al ,   Associate Professor, Department of Medical Lab, Majmaah University, Kingdom of Saudi Arabia.
Published: January 2020

Converting the ongoing advancement of abdominal aortic aneurysm (AAA) development and rebuilding information for prescient treatment needs a significant and computational perspective demonstration system. Also abdominal aortic aneurysm is fatal and rupture hence an effective treatment is needed. The aim of this research work is to develop an algorithm that focuses on the accurate detection of the AAA image. In this proposed work, the input AAA images preprocessed to transform the RGB format into gray scale image using adaptive filter, also the pixels which are corrupted by noise is too determined. Then watershed segmentation is applied before extracting the highlighted feature from AAA images. The features of AAA are extracted by genetic algorithm. After the extraction, the best features are selected by using particle swarm optimization and finally for classification and recognition, deep neural network classifier is applied. The proposed system is appropriate to accomplish our aim in foreseeing the AAA progress and in figuring the propagation vulnerability. The performance of our system is measured using accuracy, precision, f-score and computation time are utilized. The comparative analysis of the outcomes showed the significant performance of the proposed approach over the existing SVM and CNN classifier.
Corona Discharge Properties Near Metal and Dielectric Surface
Authors:   Department of Plasma Physics, National Research Nuclear University MEPhI, Moscow, Russia., Kirko* Dmitri L.
Published: January 2020

This following research of the properties of a coronary discharge has a serious impact on the study of metallurgy. There are a lot of cases of practical use of the corona discharge functions. An example is the creation of electrostatic precipitators for the purification of industrial gases from solid and liquid particles. Using the corona discharge method, for example, smoke is cleaned in the production of sulfuric acid, air in non-ferrous metal foundries and other harmful industries. Shape of the corona discharge made utilizing cone shaped and round and hollow terminals was examined. The most electrical characteristics of discharge of this type are decided. Corona discharges are characterized by weak currents within the extend of one microampere at voltages on the arrange of 10 kilovolts and adequately week gleam discharge. Electric fluctuations within the discharge current circuit within the extend 1 kHz-120 MHz are enlisted. To think about the oscillatory forms, there were used electric and attractive tests, signals from which were sent to the Tektronix TDS 2024B oscilloscope working within the frequency analyzer mode. The electrical tests were spoken to by metal poles 1-10 cm in length and 4-5 mm in diameter. As magnetic tests, there were used coils (diameter 2-4 mm, number of turns 70-140, wire thickness 0.1 mm) set in protective dielectric walled in areas. These tests were located at a separate of 0.5-1.0 m from the release. Possible waves in plasma are suggested to explain these oscillations.
Performance Method for Innovative Activity on the Achieved Level of the Country’s Socioeconomic Development
Authors:   Scientific Research Institute – Federal Research Centre for Projects Evaluation and Consulting Services (SRI FRCEC), Moscow, Russia., Shamsutdinov* Yuriy A. , Bochkovskiy Pavel P. ,   Scientific Research Institute – Federal Research Centre for Projects Evaluation and Consulting Services (SRI FRCEC), Moscow, Russia., Prokhorov Valeriy V. ,   Scientific Research Institute – Federal Research Centre for Projects Evaluation and Consulting Services (SRI FRCEC), Moscow, Russia., Prokhorova Lyubov V. ,   Scientific Research Institute – Federal Research Centre for Projects Evaluation and Consulting Services (SRI FRCEC), Moscow, Russia.
Published: January 2020

The purpose of this study is to make an attempt to assess the innovation activity on the achieved result , expressed in indicators that determine the socioeconomic level of country development, as it is the purpose of innovation In the applied method of calculating the evaluation of the effectiveness of innovation (Data environment Analysis) these indicators were the results, while the indicators of innovation were considered as a “resource”. Rental indicators, Gini index and others , reflecting (directly or indirectly) the result of innovations was also taken into account. The results showed values that were less inconsistent with the estimates for other related indexes and indicators , while the evaluation with existing methods gave more inaccurate results. This suggests that the proposed method gives a more objective assessment of the innovation level in the country and more accurately determines the country ‘s place in the world ranking. The main source of the world economy development today is the innovation, an integrated assessment of which on a national scale can itself act as an indicator of the level of economic and — in a broader sense — the socio-economic level of the country development . From this point of view, an objective assessment of the innovation development level, as well as the development and proposal of methods for its evaluation are still relevant. Up-to-date assessment methods mainly assess the potential of countries to develop innovations, while their achieved level should be assessed, since, with significant differences in the development of countries , these potential opportunities can be realized to varying degrees.
Lab Image and Field Image Contrast Quality Differentiation
Authors:   Faculty of Computer Science & Information Technology, Universiti Putra Malaysia, Persiaran MARDI-UPM,43400 UPM Serdang, Selangor, Albahari* Elmaliana , Madzin Hizmawati ,   Faculty of Computer Science & Information Technology, Universiti Putra Malaysia, Persiaran MARDI-UPM,43400 UPM Serdang, Selangor, Rahmat Rahmita Wirza O.K. ,   Faculty of Computer Science & Information Technology, Universiti Putra Malaysia, Persiaran MARDI-UPM,43400 UPM Serdang, Selangor, Mustaffa Mas Rina ,   Faculty of Computer Science & Information Technology, Universiti Putra Malaysia, Persiaran MARDI-UPM,43400 UPM Serdang, Selangor, Mohd Noor Mohamad Roff ,   Malaysia Agriculture Research and Development Institute, MARDI Head Quarters, Persiaran MARDI-UPM, 43400 Serdang, Selangor
Published: January 2020

Image processing performance can be improved with the process of resizing the original input image to one standard size. Most of the previous studies used a standard size of 256 x 256 to provide the image as the image pre-processing material. The result of different image size dimension are shows in this research to proven that image resizing is important. Reducing image dimension size can help to improve system performance. At the same time, it is importance to keep the image quality. This study shows that by reducing image dimension, it can improve the computer or system performance more than 95%. Image quality can be measured to get helpful information for the study after resizing the image into the same standard size. In this study, measurement of contrast levels was taken to compare the quality differences between image labs and field images. It turns out that the quality of lab image produces high-quality images with good brightness over image field image.The best quality image is the images that have low contrast. Therefore in this research paper we used CLAHE method to enhance the contrast and brightness for field image.
Residential Energy Conservation using Efficient Home Appliances
Authors:   Electrical Engg. Dept., ZHCET, AMU, Aligarh., Ansari* Md Abdullah , Mohammad Arshad ,   Electrical Engg. Dept, ZHCET, AMU, Aligarh., Tariq Mohd ,   Electrical Engg. Dept, ZHCET, AMU, Aligarh., Riyaz Ahmed ,   Department of Electrical Engg. , BGSB, J&K.
Published: January 2020

Significant hike in global energy demand has laid extra pressure on energy generation plants and natural environment as well. Therefore, methods of reducing the global energy demand are being extensively explored worldwide. In this paper, we have discussed ways of reducing energy consumption in Residential sector. We have taken eight major appliances being used in homes and compared them on the basis of annual energy consumed and cost saving by taking suitable assumptions like running hours, seasons of operation, etc. Finally, Case study of a modern house in Aligarh district of UP is studied for analysing the percentage consumption of each appliance being discussed. The results show that appliances like light bulbs, ceiling fans and refrigerators have the highest potential of energy as well as cost saving by improving their efficiency. Further, by switching all the appliances from conventional to the most efficient models resulted in energy and cost saving of about 37% in the house taken for case study.
HUBUNGAN ASUPAN NUTRISI DENGAN KEJADIAN ANEMIA PADA REMAJA PUTRI
Authors: Hamidiyah Azizatul
Published: January 2020

Preliminary studies conducted previously at the Salafiyah Syafi'iyah Sukorejo Islamic Boarding School showed that the majority of female students suffered from anemia as many as 29 out of 41 people (70.7%). This certainly can harm adolescents because it can cause a decrease in reproductive health, stunted development including intelligence, decreased ability and concentration of learning. The purpose of this study was to determine the relationship of nutritional intake with the incidence of anemia in young women at the Salafiyah Syafi'iyah Islamic Boarding School Sukorejo Situbondo. This research used quantitative research with analytical research methods. Data collection was performed using nutritional recall. The instrument used was an observation sheet. Data analysis was performed using a nutri survey and the chi-square statistical test. The population in this study were all santri in the Ma'Had Aly boarding school of Salafiyah Syafi’iyah Sukorejo boarding school, the sample in this study amounted to 86 respondents. From the results of the study showed the results of P-Value 0.029 with a significant level of 0.05 then H0 was rejected, meaning that there is a significant relationship between nutritional intake and anemia in young women.

 

Keywords: Nutrition, Anemia, Young Women
EFEKTIVITAS METODE CERAMAH DAN DISKUSI KELOMPOK TERHADAP KEPATUHAN REMAJA MENGKONSUMSI TABLET TAMBAH DARAH
Authors: Suryani Linda
Published: January 2020

ABSTRAK: Remaja putri salah satu kelompok yang rawan terhadap defisiensi zat besi karena dalam masa pertumbuhan puncak. Pemberian tablet tambah darah sebagai salah satu upaya pencegahan dan penanggulangan anemia. Data Riskesdas 2018, 76,2% remaja putri telah mendapatkan tablet tambah darah di sekolah, dari 76,2% yang mendapatkan tablet tambah darah hanya 80,9% yang mengkonsumsi tablet tambah darah. Tujuan penelitian ini adalah untuk mengetahui efektivitas metode ceramah dan diskusi kelompok terhadap kepatuhan remaja dalam mengkomsumsi tablet tambah darah. Jenis penelitian adalah kuantitatif, desain penelitian Quasi eksperimen menggunakan metode Non quivalent Control Group Design. Penelitian dilakukan di SMP Negeri 16 Pekanbaru pada bulan November 2019. Populasi dalam penelitian ini adalah seluruh remaja putri yang ada di SMP Negeri 16 Pekanbaru berjumlah 384 orang, sampel remaja puteri umur 15 tahun yang berjumlah 60 Orang. Pengambilan sampel dengan cara total sampling. Instrumen penelitian adalah kuesioner. Pengolahan data dengan editing, coding, Entry dan tabulating. Analisa yang digunakan adalah analisa univariat dan bivariate menggunakan uji T-test dependent/ t- paired test, Hasil uji statistic  nilai P value = 0,000 (0,000<0,05). Artinya ada perbedaan yang signifikan antara sebelum dan sesudah dilakukan metode ceramah dan diskusi kelompok. Dapat disimpulkan bahwa metode promosi kesehatan yang paling efektif dalam meningkatkan kepatuhan remaja putri dalam mengkonsumsi tablet tambah darah adalah metode diskusi kelompok. Diharapkan pihak SMP Negeri 16 Kota Pekanbaru bekerja sama dengan instansi kesehatan lainnya untuk dapat meningkatkan promosi kesehatan kepada remaja putri khususnya tentang tablet tambah darah dengan metode diskusi kelompok.
FAKTOR YANG MEMPENGARUHI OBESITAS PADA WUS DI WILAYAH KERJA PUSKESMAS PAYUNG SEKAKI KOTA PEKANBARU 2019
Authors: Hutasoit Eva Santi
Published: January 2020

ABSTRACT : Obesity is a state of imbalance between incoming energy and energy coming out for a long time. This excess energy will be stored in the form of fat and fat tissue so that it can result in weight gain. Obesity can be prevented by frequent physical activity by exercising regularly, consuming foods that are low in fat and healthy, maintaining weight in a healthy way. The purpose of this study was to determine the relationship of factors that influence obesity in Fertile Age Women in Payung Sekaki Health Center, Pekanbaru City. This type of research is quantitative with correlational analytic research designs with cross sectional techniques. This research was conducted on October 15 - November 15, 2019. The number of samples was 100 people with a purposive sampling technique. Data collection on knowledge, attitudes and exercise using a questionnaire, fiber intake with FFQ Semi Quantitative interviews. Data analysis was performed with univariate and bivariate data analysis with chi-square test. The results obtained by the incidence of obesity in WUS as much as 60%. Analysis of bivariate data with 95% CI level obtained by factors related to obesity is knowledge factor P value = 0.037 OR 0.405 (0.172 - 0.957, Attitude P value = 0,000, Sports 0.012 OR 3.523 (1,280 - 9,690) .Inrelated factors are intake fiber P value = 0.412. Therefore, prevention and response efforts need to be done by increasing public knowledge and awareness about eating patterns, limiting energy intake in accordance with daily energy needs.
Escenarios posibles para las lenguas y culturas indígenas en el siglo XXI, ante la aparición de la nueva carta magna en 1999
Authors: Barbella Arelis I.
Published: January 2020

The article was originally published without an abstract. Short description written by Michał Gilewski

The article describes the problems of preservation of indigenous languages and cultures in relation to the introduction of a new constitution in Venezuela in 1999. The author provides a short historic overview of the process of dying out of languages and cultures. He then describes the role and possible outcomes of new legal solutions introduced in the 8th chapter of 1999 Venezuelan constitution dedicated to the right of the Indigenous nations.
Élites aparentes. Sociedades de tipo simple en el mundo contemporáneo. Maestros y líderes de las organizaciones indígenas entre los E'ñepá y Matsigenka
Authors: Kairski Mariusz , Buliński Tarzycjusz , Stoińska-Kairska Iwona
Published: January 2020

The article was originally published without an abstract. Short description written by Michał Gilewski

The article relates the results of two field projects conducted by authors in 2002-2003 and 2006-2007. Article investigates indigenous teachers, leaders of indigenous organizations and chiefs of native communities, in two groups from Amazonia. The article covers two different groups: Eñepa from Cuchivero from Venezuela and Matsigenka del rio Urubamba in Peru. The observations about these “elites” in each those groups are compared against each other, and against western concepts of elites. The comparison implies significant relation to the history of contacts with the external societal factors and current economic conditions of those two groups.
On the problem of correlation of different types of public service
Authors: Orlov Dmitriy , Sobornov Pavel
Published: January 2020

In the conditions of strengthening of modern Russian statehood, there is an urgent need to develop the system of assigning ranks and titles of various types of public service. In this article some problems of the organization of public service in Russia are considered — the problem of regulation of other types of public service, and also the problem of a ratio of types of public service, including consisting in incomplete legal regulation of conformity of class ranks, military and special ranks. Based on the analysis of the three-century experience of the system of ranks and ranks in Russia, the authors of the article come to the conclusion that it is necessary to streamline the system of assigning military and civil ranks and ranks in the modern state.
SAĞLIK HARCAMALARI İKTİSADİ BÜYÜME İLİŞKİSİ: OECD ÜLKELERİ ÜZERİNE BİR İNCELEME
Authors: ERDOĞAN Seyfettin , YILDIRIM Durmuş Çağrı , GEDİKLİ Ayfer
Published: January 2020

Bu
çalışmanın amacı, 36 OECD ülkesinin 2000-2017 dönemine ilişkin verilerini kullanarak
panel koentegrasyon testleri yardımı ile sağlık harcamaları ve iktisadi büyüme
arasındaki ilişkiyi araştırmaktır. Elde edilen sonuçlara göre, yatay kesit
bağımlılığını göz ardı eden Pedroni ve Westerlund testleri, sağlık harcamaları
ile büyüme arasında uzun dönemli bir ilişkinin mevcut olduğunu göstermektedir.  Ancak yatay kesit bağımlılığı göz önüne
alınarak elde edilen sonuçlar, sağlık harcamaları ve büyüme arasında uzun
dönemli bir koentegrasyon ilişkisinin mevcut olduğuna ilişkin sonuçları desteklememektedir.
Sonuç olarak uzun dönemde sağlık harcamalarının, büyümenin bir belirleyicisi
olmadığına ilişkin bulgulara ulaşılmıştır.
SLEEP PATTERN ANALYSIS AND IMPROVEMENT USING ARTIFICIAL INTELLIGENCE AND MUSIC THERAPY
Authors: Pandian Dr. M. Durai
Published: January 2020

The rapid growth in the population and the changes endured in the lifestyle of the people increases the demand for the healthcare segments that does a continuous monitoring of the heath. The artificial intelligence that has been engaged in the numerous of real-life applications, has caused a greater impact in the very basic facet of the human life such as the communication, interaction, education, driving, entertainment and has been limited to the heath monitoring. For decades it is the artificial intelligence is been utilized in the health care for the analysis and the diagnosis of the disease, for assisting the surgical methodologies etc. has also been utilized in the improving the health of the person by monitoring the quality of the sleep they have. The paper puts forth a sleep pattern analysis using the artificial intelligence and the therapy based on the music for improving the sleeping time and reducing the stress according to the quality of the sleep evaluated.
SURVEY ON EVOLVING DEEP LEARNING NEURAL NETWORK ARCHITECTURES
Authors: Bashar Dr. Abul
Published: January 2020

The deep learning being a subcategory of the machine learning follows the human instincts of learning by example to produce accurate results. The deep learning performs training to the computer frame work to directly classify the tasks from the documents available either in the form of the text, image, or the sound. Most often the deep learning utilizes the neural network to perform the accurate classification and is referred as the deep neural networks; one of the most common deep neural networks used in a broader range of applications is the convolution neural network that provides an automated way of feature extraction by learning the features directly from the images or the text unlike the machine learning that extracts the features manually. This enables the deep learning neural networks to have a state of art accuracy that mostly expels even the human performance. So the paper is to present the survey on the deep learning neural network architectures utilized in various applications for having an accurate classification with an automated feature extraction.