bluuebunny/crossref_metadata_2025 huggingface dataset:
Simulation model of PID for DC-DC converter by using MATLAB
Authors: Shneen Salam Waley , Shaker Dina Harith , Abdullah Fatin Nabeel
Published: June 2021

The change in loads in most applications whose source of nutrition is a renewable energy system. Renewable energy systems can change according to climatic conditions. To control and control these changes, the use of conventional control systems such as PIDs. The PID is one of the most common and used conventional control systems that have been chosen to output the type of power electronic devise (DC-DC converter) in different working conditions. The current study aims to improve the system performance through simulation. Simulation results demonstrate the effectiveness of the system with the controller based on setting parameters such as recording system states, embedded elevation time and transient response.
Advanced deep flux weakening operation control strategies for IPMSM
Authors: Khanh Pham Quoc , Huy Anh Ho Pham
Published: June 2021

This paper proposes an advanced flux-weakening control method to enlarge the speed range of interior permanent magnet synchronous motor (IPMSM). In the deep flux weakening (FW) region, the flux linkage decreases as the motor speed increases, increasing instability. Classic control methods will be unstable when operating in this area when changing load torque or reference speed is required. The paper proposes a hybrid control method to eliminate instability caused by voltage limit violation and improve the reference velocity-tracking efficiency when combining two classic control methods. Besides, the effective zone of IPMSM in the FW is analyzed and applied to enhance stability and efficiency following reference velocity. Simulation results demonstrate the strength and effectiveness of the proposed method.
Using SiO2 nano-particles for better color uniformity and lumen output in 8500 K conformal and in-cup white LEDs
Authors: Nguyen Thi My Hanh , Phuong Loan Nguyen Thi , Bui Thuc Minh , Vu Tri-Vien
Published: June 2021

In the effort of improving the performance of white light LEDs devices (WLEDs), the SiO2 nano-particles were applied and have shown a significant impact on the optical properties. Specifically, the light output of the lighting devices is enhanced when a mixture of SiO2 particles and silicone gel is diffused on the encapsulation layer surface. This enhancement is the result of light scattering from SiO2 that strengthens the emitted blue light at further angles and reduces the color discrepancy. The evidence is that CCT deviation in SiO2-doped structure decline from 1000 K to 420 K in -70° to 70°. In addition, the SiO2 with refractive index in between the phosphor material and outside environment allows light to be emitted outward more effectively. This lighting enhancement of SiO2-doped structure increases the lumen output by 2.25% at 120 mA power source in comparison to structure without SiO2. These experimental outcomes suggest that SiO2 is an effective material to add in WLEDs structure for better lighting efficiency.
Monitoring and controlling the speed and direction of a DC motor through FPGA and comparison of FPGA for speed and performance optimization
Authors: Abdul Abbas Huda M. , Chisab Raad Farhood , Jabbar Mnati Mohannad
Published: June 2021

We are living in the 21st century, an era of acquiring necessity in one click. As we, all know that technology is continuously reviving to stay ahead of advancements taking place in this world of making things easier for mankind. Technology has been putting his part in introducing different projects as we have used the field programmable gate arrays (FPGAs) development board of low cost and programmable logic done by the new evolvable cyclone software is optimized for specific energy based on Altera Cyclone II (EP2C5T144) through which we can control the speed of any electronic device or any Motor Control IP product targeted for the fan and pump. Altera Cyclone FPGAs’ is a board through which we can monitor the speed and direction of the DC motor. As we know how to make understand, dynamic analog input using an A-to-D convertor and we know how to create pulse width modulation (PWM) output with FPGA. Therefore, by combining these two functions we can create an FPGA DC motor controller. Our paper is divided into three parts: First, all of us will attempt to imitate the issue and can try to look for its answer. Secondly, we will try to verify the solution for real-time. In addition, in the last step, we will verify the solution on the real-time measurements.
Pneumatic positioning control system using constrained model predictive controller: Experimental repeatability test
Authors: Sulaiman Siti Fatimah , Rahmat M. F. , Faudzi Ahmad Athif , Osman Khairuddin , Samsudin S. I. , Z. Abidin A. F. , Sulaiman Noor Asyikin
Published: June 2021

Most of the controllers that were proposed to control the pneumatic positioning system did not consider the limitations or constraints of the system in their algorithms. Non-compliance with the prescribed system constraints may damage the pneumatic components and adversely affect its positioning accuracy, especially when the system is controlled in real-time environment. Model predictive controller (MPC) is one of the predictive controllers that is able to consider the constraint of the system in its algorithm. Therefore, constrained MPC (CMPC) was proposed in this study to improve the accuracy of pneumatic positioning system while considering the constraints of the system. The mathematical model of pneumatic system was determined by system identification technique and the control signal to the valves were considered as the constraints of the pneumatic system when developing the controller. In order to verify the accuracy and reliability of CMPC, repetitive experiments on the CMPC strategy was implemented. The existing predictive controller, that was used to control the pneumatic system such as predictive functional control (PFC), was also compared. The experimental results revealed that CMPC effectively improved the position accuracy of the pneumatic system compared to PFC strategy. However, CMPC not capable to provide a fast response as PFC.
Intelligent swarm algorithms for optimizing nonlinear sliding mode controller for robot manipulator
Authors: G. Haddad Suhad Qasim , R. Akkar Hanan A.
Published: June 2021

This work introduces an accurate and fast approach for optimizing the parameters of robot manipulator controller. The approach of sliding mode control (SMC) was proposed as it documented an effective tool for designing robust controllers for complex high-order linear and nonlinear dynamic systems operating under uncertain conditions. In this work Intelligent particle swarm optimization (PSO) and social spider optimization (SSO) were used for obtaining the best values for the parameters of sliding mode control (SMC) to achieve consistency, stability and robustness. Additional design of integral sliding mode control (ISMC) was implemented to the dynamic system to achieve the high control theory of sliding mode controller. For designing particle swarm optimizer (PSO) and social spider optimization (SSO) processes, mean square error performances index was considered. The effectiveness of the proposed system was tested with six degrees of freedom robot manipulator by using (PUMA) robot. The iteration of SSO and PSO algorithms with mean square error and objective function were obtained, with best fitness for (SSO) =4.4876 𝑒-6 and (PSO)=3.4948 𝑒-4.
Compression of MRI brain images based on automatic extraction of tumor region
Authors: Tunga P. Prakash , Singh Vipula
Published: June 2021

In the compression of medical images, region of interest (ROI) based techniques seem to be promising, as they can result in high compression ratios while maintaining the quality of region of diagnostic importance, the ROI, when image is reconstructed. In this article, we propose a set-up for compression of brain magnetic resonance imaging (MRI) images based on automatic extraction of tumor. Our approach is to first separate the tumor, the ROI in our case, from brain image, using support vector machine (SVM) classification and region extraction step. Then, tumor region (ROI) is compressed using Arithmetic coding, a lossless compression technique. The non-tumorous region, non-region of interest (NROI), is compressed using a lossy compression technique formed by a combination of discrete wavelet transform (DWT), set partitioning in hierarchical trees (SPIHT) and arithmetic coding (AC). The classification performance parameters, like, dice coefficient, sensitivity, positive predictive value and accuracy are tabulated. In the case of compression, we report, performance parameters like mean square error and peak signal to noise ratio for a given set of bits per pixel (bpp) values. We found that the compression scheme considered in our setup gives promising results as compared to other schemes.
Forecasting and communication key elements for low-cost fluvial flooding early warning system in urban areas
Authors: Acosta-Coll Melisa , Solano-Escorcia Andres , Ortega-Gonzalez Lilia , Zamora-Musa Ronald
Published: June 2021

Fluvial flooding occurs when a river overspills its banks due to excessive rainfall, and it is the most common flood event. In urban areas, the increment of urbanization makes communities more susceptible to fluvial flooding since the excess of impervious surfaces reduced the natural permeable areas. As flood prevention strategies, early warning systems (EWS) are used to reduce damage and protect people, but key elements need to be selected. This manuscript proposes the monitoring instruments, communication protocols, and media to forecast and disseminate EWS alerts efficiently during fluvial floods in urban areas. First, we conducted a systematic review of different EWS architectures for fluvial floods in urban areas and identified that not all projects monitor the most important variables related to the formation of fluvial floods and most use communication protocols with high-energy consumption. ZigBee and LoRaWAN are the communication protocols with lower power consumption from the review, and to determine which technology has better performance in urban areas, two wireless sensor networks were deployed and simulated in two urban areas susceptible to fluvial floods using Radio Mobile software. The results showed that although Zigbee technology has better-received signal strength, the difference with LoRAWAN is lower than 2 dBm, but LoRaWAN has a better signal-to-noise ratio, power consumption, coverage, and deployment cost.
Data modelling and data processing generated by human eye movements
Authors: Kralev Velin , Kraleva Radoslava , Koprinkova-Hristova Petia
Published: June 2021

Data modeling and data processing are important activities in any scientific research. This research focuses on the modeling of data and processing of data generated by a saccadometer. The approach used is based on the relational data model, but the processing and storage of the data is done with client datasets. The experiments were performed with 26 randomly selected files from a total of 264 experimental sessions. The data from each experimental session was stored in three different formats, respectively text, binary and extensible markup language (XML) based. The results showed that the text format and the binary format were the most compact. Several actions related to data processing were analyzed. Based on the results obtained, it was found that the two fastest actions are respectively loading data from a binary file and storing data into a binary file. In contrast, the two slowest actions were storing the data in XML format and loading the data from a text file, respectively. Also, one of the time-consuming operations turned out to be the conversion of data from text format to binary format. Moreover, the time required to perform this action does not depend in proportion on the number of records processed.
Artificial neural network technique for improving prediction of credit card default: A stacked sparse autoencoder approach
Authors: Ebiaredoh-Mienye Sarah A. , Esenogho E. , Swart Theo G.
Published: June 2021

Presently, the use of a credit card has become an integral part of contemporary banking and financial system. Predicting potential credit card defaulters or debtors is a crucial business opportunity for financial institutions. For now, some machine learning methods have been applied to achieve this task. However, with the dynamic and imbalanced nature of credit card default data, it is challenging for classical machine learning algorithms to proffer robust models with optimal performance. Research has shown that the performance of machine learning algorithms can be significantly improved when provided with optimal features. In this paper, we propose an unsupervised feature learning method to improve the performance of various classifiers using a stacked sparse autoencoder (SSAE). The SSAE was optimized to achieve improved performance. The proposed SSAE learned excellent feature representations that were used to train the classifiers. The performance of the proposed approach is compared with an instance where the classifiers were trained using the raw data. Also, a comparison is made with previous scholarly works, and the proposed approach showed superior performance over other methods.
p-norms of histogram of oriented gradients for X-ray images
Authors: Hamada Nuha H. , Kharbat Faten F.
Published: June 2021

Lebesgue spaces (Lp over Rn) play a significant role in mathematical analysis. They are widely used in machine learning and artificial intelligence to maximize performance or minimize error. The well-known histogram of oriented gradients (HOG) algorithm applies the 2-norm (Euclidean distance) to detect features in images. In this paper, we apply different p-norm values to identify the impact that changing these norms has on the original algorithm. The aim of this modification is to achieve better performance in classifying X-ray medical images related to of COVID-19 patients. The efficiency of the p-HOG algorithm is compared with the original HOG descriptor using a support vector machine implemented in Python. The results of the comparisons are promising, and the p-HOG algorithm shows greater efficiency in most cases.
An internet of things secosystem for planting of coriander (Coriandrum sativum L.)
Authors: Tangwannawit Panana , Saengkrajang Kanita
Published: June 2021

The internet of things (IoT) is a network of physical devices and is becoming a major area of innovation for computer-based systems. Agriculture is one of the areas which could be improved by utilizing this technology ranging from farming techniques to production efficiency. The objective of this research is to design an IoT to monitor local vegetable (Coriander; Coriandrum sativum L.) growth via sensors (light, humidity, temperature, water level) and combine with an automated watering system. This would provide planters with the ability to monitor field conditions from anywhere at any time. In this research, a group of local vegetables including coriander, cilantro, and dill weed were experimented. The prototype system consists of several smart sensors to accurately monitor the mentioned vegetable growth from seedling stage to a fully grown plant which will ensure the highest production levels from any field environment. Three different types coriander were measured under these parameters: height, trunk width, and leaf width. The result showed that IoT ecosystem for planting different types of coriander could produce effective and efficient plant growth and ready for harvest with a shorter time than conventional method.
The measurement model of geo-education among trainee teachers in Malaysia
Authors: Yusof Mat Rahimi , Yaakob Mohd Faiz Mohd , Nawi Aliff , Awang Hapini , M. Fuad Dayang Rafidah Syariff , Rami Aizuddin Md
Published: June 2021

This study conducted to develop a measurement model for measuring Geo-Education in Malaysia context. This cross-sectional survey involved 245 trainee teachers in Universities and Institut Pendidikan Guru Malaysia (IPGM). The data collection was made through a set of questionnaires and analyzed using SEM-AMOS. There are four main elements measured, which are loading factors, convergent validity, discriminant validity, and composite reliability. The findings indicated that Geo-Education had a significant contribution to the proposed constructs, namely primer, issues, ecosystem, lifestyle, and cross-curricular elements. A model of Geo-Education was successfully developed in this study using these five constructs, namely primer, issues, ecosystem, lifestyle, and cross-curricular elements. This study also identified twenty-five behaviours of Geo-Education among the trainee teachers in Malaysia. The findings of this study are essential as a guideline for Malaysian teachers to implement the concept of Geo-Education in Malaysia. Additionally, the application of this subject as cross-curricular elements in the Malaysian curriculum is essential to ensure the success of the implementation of Education Sustainable Development (ESD) in the school environment.
Card game as a pedagogical tool for numeracy skills development
Authors: Singh Parmjit , Hoon Teoh Sian , Md Nasir Akmal , Md Ramly Adlan , Md Rasid Syazwani , Meng Chew Cheng
Published: June 2021

Given the hypothesis that card games form a strong tool capable of shaping the aforementioned interest, this study has developed a card game called Math Zap as a pedagogical tool for numeracy skills development in the context of mental computation. It is geared towards investigating the efficacy of this Math Zap card game, in facilitating the development of numeracy skills amongst learners, and their attitude towards using it as a pedagogical tool. A mix method approach using an experimental and descriptive design was taken and tested amongst 34 primary school students aged 12 to 13. From the results of the study, it is found that the Math Zap card game is a highly effective learning tool in so far as the enhancement of students’ numeracy computation skills in the areas of fractions, percentages and decimals are concerned. This is evidenced by a statistical significant pre-post test score increment. Furthermore, students were rather positive and receptive towards the game, further substantiating the claim of it being a useful pedagogical tool.
Teacher evaluation by different internal evaluators: Head of departments, teachers themselves, peers and students
Authors: Almutairi Talal S. , Shraid Nawaf S.
Published: June 2021

This study analyzed teacher evaluation in school, through involving different internal evaluators, in order to determine the extent to which they evaluate teacher performance accurately and objectively. Evaluation survey instruments are used in this study, which are designed based the criteria of existing teacher evaluation system in the context, along with other criteria for evaluating teachers. The sample of this study included teachers, heads of departments and students from high schools in four different districts in Kuwait, received responses as 100 from heads of department, 100 from teachers ‘self-evaluation’, 100 from peer and 912 from students. The findings show that there is no significant difference between teachers’ self-evaluation and heads of departments’ evaluation. On the other hand, this study finds that subjectivism and competition may have an effect on peer evaluation and students may over-evaluate their teachers’ performance as attempt to draw a better picture of their teachers in front of evaluators.
Design thinking mindset to enhance education 4.0 competitiveness in Malaysia
Authors: Noh Suhaila Che , Karim Abdul Malek Abdul
Published: June 2021

Education 4.0 will be the next aspect of the curriculum since programming has been taught from the primary school level. Training 4.0 requires teachers to equip students with not only the knowledge and information but also encourage students to be able to process information, develop creative thinking, and acquire problem-solving skills. However, the competency of teachers to encourage creative thinking and problem-solving skills is still questionable. The purpose of this concept paper is to provide an understanding of the conceptual framework for enhancing the teachers’ competency to enhance creativity and innovation in fulfilling the desire of education 4.0. design thinking is an innovative method that places people right at the center of problem solving. It discusses the variables that may affect the quality of teachers in education 4.0 and presents a literature review of approaches that can contribute to the creation of effective teaching methods to develop successful students and satisfy the demands of the workforce for industrial revolution 4.0. It is found that teachers need to be competent to build students' skills in meeting a competitive and innovative workforce in the wake of the industrial revolution 4.0. There are seven dimensions in the design thinking mindset that teachers need to understand to meet the 4.0 education requirements.
Learning together, learning deeper: A little teacher assisted learning engagement
Authors: Camayang Jamina G. , Bautista Romiro G.
Published: June 2021

Peer mentoring in the dawn of new educational paradigms harnesses the act of becoming an educationist to facilitating learning in a peer mentoring practice. This study explored the opportunities of an emancipatory approach to teaching and learning under the thrust of learning together, learning deeper through the indulgence of little teachers under the peer mentoring scheme of learning. Employing the senior secondary education students (as little teachers), who came from their Student Teaching program from the Department of Education, and the junior secondary education students (as mentees), who enrolled in their Teaching Science in the Secondary Schools under the qualitative research design and phenomenology as point of inquiry, the following were found: Mentors in the mentoring process need to be approachable and accommodating; Mentees in the mentoring process need to be responsible with their learning task coupled with learning initiative; Enjoyable learning encounters, collaborative learning sessions, open and barrier-free communication, and close and rigid supervision through spoon feeding, modelling, and feedback are some of the perceived characteristics of an effective mentoring program; and Readiness of both mentors and mentees hinder the efficacy of the mentoring program. Owing to the results of the study, it is recommended that a formal mentoring program in the College of Teacher Education be institutionalized for it spurs extensive learning. 
A gamification framework for research productivity enhancement on the higher education institution
Authors: Sanmorino Ahmad , Marnisah Luis , Sunardi Hastha
Published: June 2021

The condition of research productivity in higher education institutions in Indonesia is still not ideal. Departing from this problem, this paper aims to contribute in the form of a framework used as the main alternative in optimizing research productivity, including the number of publications in higher education institutions. The mechanism proposed is a framework that uses designs derived from games or better known as gamification. Based on the preliminary testing of the proposed framework, it shows that each construct of the framework has a positive impact on research productivity enhancement as the final goal. One of the constructs is Network has a positive impact of 0.415 on Behavior, the Behavior has a positive impact of 0.403 on research productivity enhancement. This also applies to other constructs. Except for the Points that donot have good reliability, it will become homework in future studies.
Load flow analysis of 10 bus loop distribution network excited by a generator simulated using open modelica
Authors: Abirami P. , Ravi C. N.
Published: June 2021

In recent days, due to advancement in technology, the end users are facing severe power quality issues. Load flow analysis is one of the fundamental methodologies in solving power network problems. The key importance of Load flow analysis is to improve the performance of distribution network. The main intention of this reserach is to carry out the load flow and voltage stability analysis of 10 bus loop distribution network energized by a generator. Load flow analysis is carried out by using Newton Raphson method. The per unit voltage and angle of the proposed network is determined in all 10 buses by load flow analysis. The voltage stability analysis is implemented by introducing a fault in the network. Here, a power fault is injected at bus 4 between the time interval of 2 to 3 sec to analyse the stability of the system. The voltage stability of the system is analysed for the network with and without automatic voltage regulator (AVR). The AVR unit is tuned by using power system stabilizer (PSS). The results are examined by simulating the network using open modelica connection editor.  From the simulation results the per unit voltages and angles at all 10 buses are determined for the network with and without AVR. By comparing both the results it is proved that the network with AVR has better voltage stability than the other. Thus, the voltage stability of the system is improved by connecting the generator with AVR and PSS.
Experimental investigation of the performance of a solar dryer integrated with solid desiccant coloums using water based solar collector for medicinal herb
Authors: Yahya M. , Hasibuan R. , Sundari R. , Sopian K.
Published: June 2021

This study is concerned with the analyses of performance on a solar dryer integrated with solid desiccant coloums using water based solar collector. The dryer consists of a solar water collector, two solid desiccant coloums, a water storage tank, two heat exchangers, an air heater, and a drying chamber. The dryer decreased the Centella asiatica L moisture content from 88.3% (wb) to 15.9% (wb) within 12 hours, with an average temperature and relative humidity of 45.4°C and 25.8%, respectively. The rate of moisture evaporation and the specific moisture evaporation rate were in the range of 0.001-1.762kg/h and 0.02-0.482 kg/kWh, with 0.594kg/h and 0.169kg/kWh in average values, respectively. The dryer efficiency was in the range of 0.62%-30.4%, with 15.4% in average value. The energy required for moisture evaporation and total energy input to the dryer were in the range of 26.9-1132.2W and 3638.0-4329.7W, with 601.8 W and 3967.4 W in average values, respectively. The efficiency of collector and the heat exchanger effectiveness were in the range of 38.1-50.5% and 65.1-79.7%, with 45.0% and 73.0% in average values, respectively. The result shows that the dryer is suitable for drying Centella asiatica L, this is due to the low temperature of drying air and high moisture evaporation rate.
Design and control of grid-connected solar-wind integrated conversion system with DFIG supplying three-phase four-wire loads
Authors: Kumar GB Arjun , Shivashankar Shivashankar , Keshavamurthy Keshavamurthy
Published: June 2021

This paper describes the architecture and control of an autonomous hybrid solar-wind system (AHSWS) powered distributed generation system supplying to a 3ϕ-4 wire system. It includes a nonlinear controlling technique for maximum power point tracking (MPPT) used in doubly fed induction generator dependent wind energy translation scheme and solar photovoltaic system (SPVS). In the hybrid model, the DC/DC converter output from the PV system is explicitly coupled with the DC-link of DFIG's back-to-back converter. An arithmetical model of the device is developed, derived using a suitable d-q reference frame. The grid-voltage-oriented vector regulation is required to manage the GSC to keep the steady-state voltage of the DC bus and to adjust reactive power on the grid side. Also, the stator-voltageoriented control scheme offers a stable function of DFIG to regulate the RSC on the stator edge for reactive and active power management in this approach. DC/DC converter is being used to maintain the maximum power from SPVS. A Perturb & Observe method is used for tracing maximum power in an SPVS. The simulation designs of 4.0kW DFIG and 4.5kW solar array simulator are built-in SIMPOWER software kit of MATLAB, it is shown to achieve optimum efficiency under various mechanical and electrical circumstances. It can produce rated frequency and voltage in both scenarios.
Grid-connected control of PV-Wind hybrid energy system
Authors: Azoug Hakim , Belmili Hocine , Bouazza Fekkak
Published: June 2021

ABSTRACT Article history: Received Oct 14, 2020 Revised Mar 22, 2021 Accepted Apr 23, 2021 This paper presented a strategy for modeling, simulation and control of a hybrid grid connected power system which is in fact a rather complex system. In this work, we study how to use two renewable energies in an efficient manner without any disturbing of the main network. Our hybrid energy system (HES) is composed by two renewable energy sources, the photovoltaic source and wind source. It is better for these two systems to work at their maximum power in order to return the investment cost of the system. The proposed solution is to connect those generators to the electrical grid via the AC bus with trackers. Where the photovoltaic generator (PVG) is followed by a DC/DC boost converter, controlled by a perturb and observe (P&O) tracker, then followed by a three-phase voltage inverter (3-ph-VSI) which is controlled by the watt-var decoupled method. The wind system is based on permanent magnet synchronous machine (PMSM) which is used as a variable speed generator and directly connected to the turbine (without gearbox) followed by back-to-back converters. The grid side converter (GSC) allows us to control the DC bus voltage and unity power factor, while the machine side converter (MSC) ensures us to control the PMSM speed. Knowing that pitch angle control is not considered in our study. The MPPT control strategy, which is based on the optimum peak speed ratio (OTSR), is used to ensure the most energy efficiency despite variations in wind speed. The coupling of the two systems is done via the Point of Common Collecting (PCC). Finally, simulation results show the feasibility of our solution and the good performances of the proposed control strategy, applied for mediumsized HES in power generation. They also demonstrate that such system topology is very advantageous.
Acoustic study of the influence of climate change on the propagation of noise generated by industrial units in real-time: by an industrial zone in Algeria
Authors: Iliace Arbaoui , Abderrazak Tadjeddine Ali , Hichem Hamiani , Ahmed Hamou
Published: June 2021

The industrial revolution in the field of gas and oil treatment that has known the Oran region-Algeria-has participated in the production and propagation of noise pollution and loud noises on the environment and around the places residential, for this, a multitude of noises are now part of our daily life. This contribution concerns the propagation of noise pollution in the industrial environment and the effects caused by atmospheric pollution which has a great influence on the phenomenon of planetary climate change and on meteorological parameters, the latter having a great influence on the propagation of noise. Our study is part of the objective of evaluating the noise levels emitted by gas installations in the industrial zone of ArzewOran, and of seeing the effects of the variation of meteorological parameters on the propagation of noise. To do this, we have adopted a precise in-situ methodology. Subsequently, for the processing of the measurement results, we opted for the COD-TYMPAN software in real-time as a calculation tool to interpret our results
Intelligent control of induction motor without speed sensor
Authors: Elgohary M. , Gouda E. , Eskander S. S.
Published: June 2021

This paper presents a proposed sensorless algorithm for induction motor(IM)speed control based on artificial neural networks (ANNs).The Indirect rotor field oriented (IRFO) technique is applied to control the motor. It is designed based on the proportional-integral (PI) controller. The particle swarm optimization (PSO) algorithm is used as a good solution for the problems associated with the design of the proportional-integral (PI) controller gains.The PSO is compared with the conventional methods. The proposed controller (PSO-PI) is then integrated with the artificial neural network(ANN) speed estimator. The MATLAB/Simulink is used for the simulation of the system. The obtained simulation results for the proposed technique are very close to the actual ones.
Smart helmet using internet of things
Authors: Torad Mohamed A.
Published: June 2021

The rate of death relative to the size of the world's population has remained constant, according to the world health organization (WHO). WHO targets to minimize the ratio of road death to the half by 2022. This paper discusses a way for accident detection and notification which can decrease this ratio. Piezoelectric sensors used inside a helmet to detect degree of trauma which interpret into electrical signal that used to determine if trauma is serious or not based on predetermined threshold. This trauma can be a result of any type of accidents. So, a detection system established to request immediate help from relatives and emergency department by sending SMS to them contains the longitude and latitude. In normal mode helmet can work as tracking device for the relatives.
Textos didáticos em educação física: percepção docente sobre elaboração e utilização
Authors: Amaral Lucas Vieira do , Medeiros Flávio Roberto Carneiro de , Souza Júnior Marcílio Barbosa Mendonça de , Rosa Adriana Letícia Torres da , Melo Marcelo Soares Tavares de
Published: June 2021

O presente artigo objetivou analisar as contribuições do processo de elaboração e de utilização de textos didáticos para a prática pedagógica a partir da percepção de quatro professores de Educação Física da Rede Estadual de Ensino de Pernambuco. Do ponto de vista metodológico, trata-se de um estudo desenvolvido numa abordagem qualitativa, que se utilizou do questionário com perguntas fechadas e da entrevista semiestruturada como técnica de coleta de dados e da análise de conteúdo categorial temática como técnica de análise de dados. Conclui-se que o processo de elaboração e de utilização de textos didáticos trazem importantes contribuições para a prática pedagógica dos professores, sobretudo no que diz respeito à qualifi cação do processo de  ensino-aprendizagem e à legitimidade da Educação Física como componente curricular da escola.
Influência de diferentes protocolos de exercício e da dieta hiperlipídica sobre o sistema endocanabinóide de ratos
Authors: Rosante Marisa Cristina , Marine Diego Adorna , Furino Vanessa de Oliveira , Speretta Guilherme Fleury Fina , Lino Anderson Diogo , Andre Rafael Arquias , Silvestre João Guilherme de Oliveira , Sene-Fiorese Marcela , Duarte Fernanda de Oliveira , Araújo Heloisa Sobreiro Selistre de , Duarte Ana C. G. de Oliveira
Published: June 2021

O objetivo do estudo foi investigar os efeitos da dieta hiperlipídica e do treinamento de natação e força sobre o tecido adiposo, perfil lipídico e sistema endocanabinóide de ratos obesos exógenos. Para isso, utilizamos sessenta ratos adultos machos divididos em seis grupos: Sedentário Padrão (SP); Sedentário Hiperlipídico (SH); Natação Padrão (NP); Natação Hiperlipídica (NH); Força Padrão (FP); Força Hiperlipídica (FH). Após três semanas recebendo dieta padrão ou hiperlipídica, os animais iniciaram os protocolos de exercício. Os grupos NP e NH nadaram 60 minutos/dia, 5 dias/semana com carga de 5% do peso corporal atada ao corpo, em tanques de 50x30 cm, durante 8 semanas. Os grupos FP e FH realizaram exercício de subida em escada com pesos atados às suas caudas, uma vez a cada três dias, durante 8 semanas. Os animais dos grupos SP e SH continuaram sedentários e alimentados com suas respectivas dietas. A dieta hiperlipídica aumentou o ganho de massa corporal, peso relativo dos tecidos adiposos (epididimal, retroperitoneal, visceral e subcutâneo) e área de adipócitos (epididimal, retroperitoneal e visceral). Também aumentou o percentual de gordura de todos os tecidos adiposos e fígado, além de aumentar a expressão gênica do receptor CB1. Os grupos treinados apresentaram menores valores de área de adipócitos, melhora do perfil lipídico, menores valores no percentual de gordura dos tecidos adiposos e fígado, menores ganhos de massa corporal, além de menores expressão gênica do receptor CB1. Assim nossos resultados indicam os potenciais benefícios do treinamento força e natação, como alternativas não farmacológicas para controlar os efeitos deletérios da dieta hiperlipídica sobre o tecido adiposo, perfil lipídico, conteúdo lipídico e controle do desequilíbrio do sistema endocanabinóide provocado pela dieta hiperlipídica.
Qualidade de vida e autoeficácia em atletas brasileiros de voleibol de rendimento
Authors: Aizava Paulo Vitor Suto , Balbim Guilherme Moraes , Nascimento Junior José Roberto Andrade do , Papke Sidney Luciano , Fiorese Lenamar
Published: June 2021

Este estudo investigou a associação entre a qualidade de vida (QV) e a autoeficácia de atletas de voleibol de alto rendimento. Participaram da pesquisa 86 atletas de nível municipal, estadual e nacional. Como instrumentos foram utilizados a Escala de Auto Eficácia Geral Percebida e o Formulário Curto Para Pesquisa em Saúde (SF-36). Na análise dos dados, utilizou-se o teste de Kolmogorov Smirnov, Kurskal-Wallis, Friedman e Qui-quadrado (p<0,05). Os resultados evidenciaram que os atletas apresentaram boa QV, entretanto, não houve diferença signifi cativa em função do nível competitivo (p>0,05). Ao comparar a QV intragrupos, o domínio que mais se destacou em todos os grupos foi a capacidade funcional (p<0,05). Em relação à faixa etária, verificou-se que os atletas mais velhos apresentaram maior limitação por aspectos físicos em comparação aos adultos jovens (P<0,05), os quais por sua vez  demonstraram menor QV em relação à dor em comparação com os jovens atletas (p<0,05). Os domínios de Vitalidade, Aspectos sociais e Limitação por aspectos emocionais da QV apresentaram associação com o alto nível de autoeficácia (p<0,05). Concluiu-se que o contexto de alto rendimento do voleibol brasileiro pode ser considerado um ambiente propulsor de QV para os atletas, além do que a autoeficácia é um elemento interveniente na QV de atletas de voleibol de alto rendimento.
Proposta de Análise de Políticas Públicas a partir das Tipologias de Surel e de Kuhn: o caso da compensação ambiental no Brasil
Authors: Godoy Larissa Ribeiro da Cruz
Published: June 2021

O artigo tem por objetivo realizar análise de uma política pública, identificando elementos do modelo de paradigmas de Thomas Kuhn. Parte da proposta metodológica de Yves Surel que sugere utilizar os principais elementos desse modelo para desenvolver uma explicação sobre o processo de categorização cognitiva e de construção social da realidade em torno de uma política pública. A aplicação da metodologia permite descrever as fases de transição, de crise ou de ruptura pelas quais podem se apresentar as ações públicas. Permite ainda realizar uma avaliação de algumas características peculiares das políticas públicas não alcançadas por outros métodos. O objeto de análise é a política ambiental, especialmente a compensação ambiental destinada a unidades de conservação da natureza no Brasil. Questiona-se se os dissensos sobre o conceito de compensação ambiental poderia indicar se a política ainda se encontra numa fase de construção, ou pré-paradigmática, na acepção de Thomas Kuhn.
Eichmann, o Racismo Institucional e as Políticas Públicas: reflexões sobre o PIMESP e outras políticas
Authors: Santos Gislene Aparecida dos
Published: June 2021

O artigo discute o que impediria que os decisores políticos e gestores públicos percebam o aspecto não democrático e a violência embutida em algumas propostas de políticas públicas voltadas ao grupo social negro. Tomando como ponto de partida uma reflexão sobre o Programa de Inclusão com Mérito no Ensino Superior Público Paulista (PIMESP) e fazendo uso de conceitos como banalidade do mal, privilégio da brancura e racismo institucional, demonstra como as ações nas esferas pública e privada, ao ignorar os princípios da ética (não tratar seres humanos como coisas) e os valores democráticos (garantir a participaçao de todos os grupos sociais nas esferas de decisão), mantêm as hierarquias que impedem a mobilidade social dos negros e perpetuam a discriminação contra eles. Conclui que um dos objetivos mais importantes da gestão democrática deve ser a luta contra o racismo institucional e contra a coisificação dos seres humanos em nome da meritocracia, do produtivismo e da “eficiência”.
O Nacional Desenvolvimentismo e as Políticas Públicas de Exercícios Físicos, Esporte e Lazer
Authors: Almeida Marco Antonio Bettine de , Xavier Eduardo Mosna , Santos Renata Ferreira dos
Published: June 2021

O Período Nacional Desenvolvimentista Brasileiro (1946 a 1964) foi marcado pelo pujante crescimento industrial, além de uma sensível inversão populacional do eixo rural para o urbano. Essas transformações mobilizaram o governo a instituir políticas públicas que possibilitassem uma administração desse novo cenário. Nesse contexto, a atividade física (apesar da inexistência de uma pasta gerencial específica) também foi contemplada com algumas medidas que destacaram esse período do Estado Novo, e projetaram a compreensão e a realização do movimento humano para o esporte e a saúde, durante o Regime Militar. Assim, o Nacional Desenvolvimentismo foi um período marcante para a concretização de desejos do Estado, no tocante ao uso da atividade física como um instrumento de política pública, gerando reflexos que persistem na contemporaneidade.
O Jeitinho Brasileiro: traço da identidade nacional?
Authors: Barlach Lisete
Published: June 2021

O presente artigo consiste em uma revisão da literatura sobre o tema, considerando publicações entre 2010 e 2014, além de uma releitura das bases históricas sobre o assunto, como o trabalho seminal de Lívia Barbosa e os aportes de Da Matta, dentre outros. A atualidade do tema se manifesta na diversidade de interesses a ele associados identificados na literatura, incluindo o impacto do jeitinho na inovação tecnológica e competitividade industrial e sua influência na cola, plágio e outras práticas desonestas na vida acadêmica.
Prioritizing the Role of Major Lipoproteins and Subfractions as Risk Factors for Peripheral Artery Disease
Authors: Levin Michael G. , Zuber Verena , Walker Venexia M. , Klarin Derek , Lynch Julie , Malik Rainer , Aday Aaron W. , Bottolo Leonardo , Pradhan Aruna D. , Dichgans Martin , Chang Kyong-Mi , Rader Daniel J. , Tsao Philip S. , Voight Benjamin F. , Gill Dipender , Burgess Stephen , Damrauer Scott M. ,   on behalf of the VA Million Veteran Program
Published: June 2021

Background:

Lipoprotein-related traits have been consistently identified as risk factors for atherosclerotic cardiovascular disease, largely on the basis of studies of coronary artery disease (CAD). The relative contributions of specific lipoproteins to the risk of peripheral artery disease (PAD) have not been well defined. We leveraged large-scale genetic association data to investigate the effects of circulating lipoprotein-related traits on PAD risk.

Methods:

Genome-wide association study summary statistics for circulating lipoprotein-related traits were used in the mendelian randomization bayesian model averaging framework to prioritize the most likely causal major lipoprotein and subfraction risk factors for PAD and CAD. Mendelian randomization was used to estimate the effect of apolipoprotein B (ApoB) lowering on PAD risk using gene regions proxying lipid-lowering drug targets. Genes relevant to prioritized lipoprotein subfractions were identified with transcriptome-wide association studies.

Results:

ApoB was identified as the most likely causal lipoprotein-related risk factor for both PAD (marginal inclusion probability, 0.86;
P
=0.003) and CAD (marginal inclusion probability, 0.92;
P
=0.005). Genetic proxies for ApoB-lowering medications were associated with reduced risk of both PAD (odds ratio,0.87 per 1-SD decrease in ApoB [95% CI, 0.84–0.91];
P
=9×10
−10
) and CAD (odds ratio,0.66 [95% CI, 0.63–0.69];
P
=4×10
−73
), with a stronger predicted effect of ApoB lowering on CAD (ratio of effects, 3.09 [95% CI, 2.29–4.60];
P
<1×10
−6
). Extra-small very-low-density lipoprotein particle concentration was identified as the most likely subfraction associated with PAD risk (marginal inclusion probability, 0.91;
P
=2.3×10
−4
), whereas large low-density lipoprotein particle concentration was the most likely subfraction associated with CAD risk (marginal inclusion probability, 0.95;
P
=0.011). Genes associated with extra-small very-low-density lipoprotein particle and large low-density lipoprotein particle concentration included canonical ApoB pathway components, although gene-specific effects were variable. Lipoprotein(a) was associated with increased risk of PAD independently of ApoB (odds ratio, 1.04 [95% CI, 1.03–1.04];
P
=1.0×10
−33
).

Conclusions:

ApoB was prioritized as the major lipoprotein fraction causally responsible for both PAD and CAD risk. However, ApoB-lowering drug targets and ApoB-containing lipoprotein subfractions had diverse associations with atherosclerotic cardiovascular disease, and distinct subfraction-associated genes suggest possible differences in the role of lipoproteins in the pathogenesis of PAD and CAD.
Burden of Ischemic Stroke in Patients With Congenital Heart Disease: A Nationwide, Case‐Control Study
Authors: Giang Kok Wai , Fedchenko Maria , Dellborg Mikael , Eriksson Peter , Mandalenakis Zacharias
Published: June 2021

Background

Patients with congenital heart disease (CHD) are at increased risk of developing ischemic stroke (IS) compared with controls without CHD. However, the long‐term outcomes after IS, including IS recurrence and mortality risk, remain unclear.

Methods and Results

We identified all patients with CHD in Sweden who were born between 1930 and 2017 using the Swedish National Patient Register and the Cause of Death Register. Ten controls without CHD were randomly selected from the general population and matched for birth year and sex for each patient with CHD. The follow‐up of the study population was performed between January 1970 and December 2017. In total, 88 700 patients with CHD (50.6% men) and 890 450 matched controls (51.0%) were included in this study. During a mean follow‐up of 25.1±22.0 years, patients with CHD had a 5‐fold higher risk of developing an index IS (hazard ratio [HR], 5.01; 95% CI, 4.81–5.22) compared with controls. However, the risk of developing a recurrent IS was lower in patients with CHD compared with controls (HR, 0.66; 95% CI, 0.56–0.78), an observation that persisted after adjustment for cardiovascular risk factors and comorbidities. Patients with CHD were also at a significantly lower risk of all‐cause mortality after index IS than controls (HR, 0.53; 95% CI, 0.49–0.58).

Conclusions

Patients with CHD had a 5‐fold higher risk of developing index IS compared with matched controls. However, the risk of recurrent IS stroke and all‐cause mortality were 34% and 47% lower, respectively, in patients with CHD compared with controls.