Miracle-dz/UniFAR-FTUs huggingface dataset:
Ultra-capacitor assisted electric drives for transportation

Non-Faradic surface effect storage devices such as ultra-capacitors offer pulse power and power cycling capability far in excess of Faradic, bulk storage, electrochemical cells for vehicular use. Vehicle applications for electric drives have been delayed due to technical inadequacy in these fiercely cost sensitive systems. Particularly in safety critical systems such as steer, brake and drive by wire where the cost of redundant systems would be prohibitive. Similarly for the vehicle power train where the demands for idle-stop and electrification of key functions such as engine cranking, electromechanical valve actuation and hybridization are concerned. in this paper both safety critical and power train systems are re-assessed within the context of distributed energy storage modules in the vehicle electrical distribution system to satisfy the requirements for power supply redundancy.
Integration of micro- and macroscopic models for pedestrian evacuation simulation

Simulation of pedestrian evacuations of smart buildings in emergency is a powerful tool for building analysis, dynamic evacuation planning and real-time response to the evolving state of evacuations. Macroscopic pedestrian models are low-complexity models that are and well suited to algorithmic analysis and planning, but are quite abstract. Microscopic simulation models allow for a high level of simulation detail but can be computationally intensive. By combining microand macromodels we can use each to overcome the shortcomings of the other and enable new capability and applications for pedestrian evacuation simulation that would not be possible with either alone. We develop the EvacSim multi-agent pedestrian simulator and procedurally generate macroscopic flow graph models of building space, integrating microand macroscopic approaches to simulation of the same emergency space. By “coupling” flow graph parameters to microscopic simulation results, the graph model captures some of the higher detail and fidelity of the complex microscopic simulation model. The coupled flow graph is used for analysis and prediction of the movement of pedestrians in the microscopic simulation, and investigate the performance of dynamic evacuation planning in simulated emergencies using a variety of strategies for allocation of macroscopic evacuation routes to microscopic pedestrian agents. The predictive capability of the coupled flow graph is exploited for the decomposition of microscopic simulation space into multiple future states in a scalable manner. By simulating multiple future states of the emergency in short time frames, this enables sensing strategy based on simulation scenario pattern matching which we show to achieve fast scenario matching, enabling rich, real-time feedback in emergencies in buildings with meagre sensing capabilities.
MODEL PERAMALAN PASOKAN ENERGI PRIMER DENGAN PENDEKATAN METODE FUZZY LINEAR REGRESSION

Pasokan energi di masa depan merupakan permasalahan yang senantiasa menjadi perhatian semua bangsa. Begitu juga bagi Indonesia yang merupakan salah satu negara sedang berkembang, penyediaan energi merupakan faktor yang sangat penting dalam mendorong pembangunan. Oleh karena itu, butuh model peramalan untuk meramalkan pasokan energi primer. Akan tetapi, data yang terbatas menjadi masalah untuk memodelkan pasokan energi primer karena dataset kecil tidak dapat ditentukan modelnya dengan metode regresi klasik. Sehingga dalam tugas akhir ini diaplikasikan metode Fuzzy Linear Regression (FLR) untuk memodelkan peramalan pasokan energi primer dengan variabel bebasnya adalah Produk Domestik Bruto (PDB) dan populasi penduduk. Hasil model peramalan dari pendekatan metode Fuzzy Linear Regression (FLR) untuk total pasokan energi primer adalah Y _i= (0 ;50718190)+(52780,52;0) X_i1+(4548,169 ;0) X_i2 dengan nilai MAPE sebesar 2,19% menunjukkan bahwa model peramalan ini layak.
Wind Turbine Simulator for Comparative Study of MPPT Controls

This paper proposed the wind turbine simulator for comparative study of the MPPT controls. The development of this wind turbine simulator is based on the torque controlled induction motor. The torque reference is obtained from a mathematical model of wind turbine whereas the inputs are rotor speed, wind speed and fixedvalue of pitch angle. By using this wind turbine simulator, the real wind is not needed. Wind speed information can be stored and regenerated anytime. Hence it is possible to apply the same wind speed condition to different MPPT controls. With the same wind speed condition, it can fairly compare the advantages and disadvantages of the MPPT controls. The proposed wind turbine simulator is verified through PSIM simulation.
Sonar Assistive Device for Visually Impaired People

An affordable sonar assistive device was developed to facilitate the visually impaired people to walk inside or outside their homes. The device uses a sonar technology where each ultrasonic sensor consists of a transmitter and a receiver. The transmitter will transmit a signal to an obstacle in front of it and when the signal reaches an obstacle, the signal is reflected back. The reflected signal is then received by the receiver. The system of Arduino Pro Mini will then evaluate the echo to identify the presence t of the obstacles. This ultrasonic sensor can detect obstacles as far as 4 meters. Hands-on testing was conducted to identify visually impaired people needs and to provide them an opportunity to use the device. The users were interviewed to find out about their experience. The results clearly show that 90% of the users were satisfied with the features of the device and they were also confident of using the device to detect different types of obstacles.
The Effect of Loudness Overflow on Equal- Loudness-Level Contours

This paper presents a formal derivation of the Loudness Overflow Effect (LOE), which describes the impact of nonlinear distortion on loudness. Computational analysis is then performed, comprised of two experiments involving two compressive static nonlinearities, and using two well-known time-varying loudness models. The results characterize the nonlinearities in terms of LOE as a function of frequency and of listening level in the case of 250ms pure-tone stimuli, and in terms of the traditional equal-loudness-level contours. The analysis is then extended to synthesized wind instruments for one of the nonlinearities. The effect of the nonlinearity on loudness as a function of musical note fundamental frequency and listening level is described for various synthesized instruments.
Behavior of Rectangular Reinforced-Concrete Columns under Biaxial Cyclic Loading and Variable Axial Loads

AbstractThe behavior of reinforced-concrete (RC) elements subjected to axial loading variation in conjunction with cyclic biaxial bending is recognized as a very important research topic with a reduced number of experimental results available. Six full-scale RC rectangular columns were tested and analyzed to study the effects of variable axial load on the hysteretic behavior of RC building columns under biaxial horizontal loading. The experimental results are presented and discussed in terms of damage evolution, global hysteretic behavior, stiffness degradation, columns’ capacity, and energy dissipation. The global findings revealed the significant effects of the axial load variation on the hysteretic behavior of RC columns.
The microbial ecology and horticultural sustainability of organically and conventionally managed apples

Title of Document: THE MICROBIAL ECOLOGY AND HORTICULTURAL SUSTAINABILITY OF ORGANICALLY AND CONVENTIONALLY MANAGED APPLES. Andrea R. Ottesen, PhD, 2008 Directed By: Professor, Dr. Christopher S. Walsh, Plant Sciences and Landscape Architecture Objectives Organically and conventionally managed apple trees (Malus domestica Borkh) were evaluated for three growing seasons (2005-2007) to examine the impact of organic and conventional pesticide applications on the microbial ecology of phyllosphere and soil microflora. An important objective was to establish if organic or conventional selection pressures contribute to an increased presence of enteric pathogens in phyllosphere microflora. The horticultural and economic sustainability of the organic crop was also compared to the conventional crop with regard to fruit yield and input costs. Methods Microbial populations from phyllosphere and soil environments of apple trees were evaluated using clone libraries of 16S rRNA gene fragments. Clones were sequenced and software was used to assess diversity indices, identify shared similarities and compute statistical differences between communities. These measurements were subsequently used to examine treatment effects on the microbial libraries. Phyllosphere Results Eight bacterial phyla and 14 classes were found in this environment. A statistically significant difference between organically and conventionally managed phyllosphere bacterial microbial communities was observed at four of six sampling time points. Unique phylotypes were found associated with each management treatment but no increased human health risk could be associated with either treatment with regard to enteric pathogens. Soil Results Seventeen bacterial phyla spanning twenty-two classes, and two archaeal phyla spanning eight classes, were seen in the 16S rRNA gene libraries of organic and conventional soil samples. The organic and conventional soil libraries were statistically different from each other although the sampling depth was not sufficient to make definitive inference about this environment. Horticultural Results Fruit yields from organically managed apple trees were from one half to one third of the yields from conventionally managed trees. Based on input costs, organic fruit was about twice as expensive to produce. Asian pears (Prunus serotina) were also included in this horticultural analysis and showed greater field tolerance as an organic specialty niche crop than apples. THE MICROBIAL ECOLOGY AND HORTICULTURAL SUSTAINABILITY OF ORGANICALLY AND CONVENTIONALLY MANAGED APPLES.
Unified power engineering laboratory for electromechanical energy

Summary form only given. This paper introduces a unified power engineering laboratory capable of various experiments for power systems, power electronics and electromechanical energy conversion. It presents a flexible hardware setup, data acquisition (DAQ), and virtual instrumentation (VI), the base of our unified lab. Some features of virtual instrumentation are shown with real-time phasor diagrams, sequence component analysis, and spectral analysis of AC data. We describe the general design of a single lab setup, which can be used for power electronics and electromechanical energy conversion experiments independently. We also present an example of power system operations, which can be implemented by the interconnection of several lab stations.
Mentoring: A Magnet for Young Engineers

Because academic programs for engineers must focus on technical content, the graduates of these programs need mentoring once they start their careers so that they can acquire the skills that were not part of the engineering curriculum. It is stressed that a mentoring program should be two-pronged, covering orientation of the new employee and the employee's subsequent professional development. The various aspects of mentoring programs for these two phases are described. Noting that the senior managers who should be acting as mentors have insufficient time and limited experience in this area, the authors describe the mentoring programs that have been developed by the Society of American Military Engineers.
An extended wind boundary layer profile

Wind over the ocean can be divided into two parts: the mean wind and the unsteady, time-varying wind. The unsteady component of the wind profile is not often included when modeling wind and predicting its impact on ship motions, but may have an effect, particularly in extreme cases. The mean velocity profiles for the wind have been thoroughly investigated and documented, however the time varying portion is not as well understood, mostly due to insufficient data. A portion of the time-varying wind is due to wind gusts, which are typically modeled as a Gaussian stochastic process and can be fully described by a wind gust spectrum. Wind gust spectra measured over land typically have less energy at lower frequencies than measured spectra over the ocean, and this low frequency energy can be important in design of ships and offshore structures. Several wind gust spectra have been proposed, with various dependencies on frequency, height above sea level, and mean wind speed. These spectra are compared with data collected from the High Resolution Air Sea Interaction (HIRES) research program, sponsored by the Office of Naval Research (ONR), from surface buoy data at 1 m as well as from the Research Platform (R/P) FLIP at 30 m above sea level. The various spectra from the literature bound the data at the 1 m level, but all tend to over predict the spectra at the 30 m level. In addition to gusts, the mean wind profile may be modified by the time-varying wave profile, another aspect of wind behavior that can affect the design of ships and offshore structures. Air flow separation over water waves has been observed by many researchers over the years, though a global criterion for separation and a model for the separated flow have not yet been conclusively determined. Evidence in the literature shows that both the wave age and wave slope play a role in separation. A separation criterion is proposed, based on data from the literature, as well as a model for the adjusted wind profile based on a separation profile developed for land. The adjusted profile compares well with data from the literature. The criterion and proposed model are also compared with preliminary results from the ONR supported computational fluid dynamics code, Numerical Flow Analysis (NFA). The objective of this numerical effort is to research and develop the capability to couple advanced free-surface hydrodynamic predictions with numerical wind distributions in a marine atmospheric boundary layer. By developing a wind/wave boundary interaction model for the Numerical Flow Analysis (NFA) code, an important step towards carrying out this objective is achieved. It is the final goal of this development to provide a wind/wave interaction prediction capability that includes the possibility of correctly predicting the impact of breaking ambient waves.
IMPACT OF STIGMA ON THE QUALITY OF LIFE OF ADULTS WITH HIV/AIDS: A SYSTEMATIC REVIEW

Introducción: Este trabajo se llevó a cabo con la finalidad de averiguar si existía un agravamiento de las consecuencias del VIH tras la percepción de estigma. Metodología: Se realizó una revisión sistemáticacuyoscriterios de inclusión fueron(1) que los trabajos versaran sobre VIH/SIDA; (2) que se tratara de artículos científicos; (3) que el idioma de publicación fuera español o inglés. Los criterios de exclusión aplicados fueron (1) que los artículos incluyeran población infantojuvenil; (2) que se trataran de artículos de caso único. Resultados: La muestra total estuvo compuesta por 18267 participantes, la mayoría de ellos mujeres (65%), con una media de edad de 39’3 años, procedentes de Áfricay Asia, casados o con pareja estable y con un nivel educativo y socioeconómico bajo. El estigma se analizó a través de administración de pruebas en el 55% de los artículos y la calidad de vida, en el 44%. Se encontraron repercusiones psicológicas y sociales (53%) entre las que destacó el trastorno depresivo y la reducción de la red de apoyo;laborales y económicas (21%);físicas (18%) y sexuales (15%). Discusión:La mayoría de los resultados mostraron que el estigma sí que generaba repercusiones, las cualesafectaban, sobre todo, a la salud mental y a la red social de esta población, lo que reflejó la necesidad de fomentar el apoyo y el tratamiento psicológico. De igual manera, se encontró una posible relación entre el sexo, la región y el nivel de educaciónyel riesgo de contraer VIH.
IMPROVING REAL-TIME BEHAVIOR OF ETHERNET SWITCHES USING FUZZY TRAFFIC SMOOTHING

Abstract Previous work has shown that adaptive traffic smoothing can be successfully applied to a Shared Ethernet to enable it to support statistical real-time communication at the Field level. This paper addresses the case for fuzzy traffic smoothing to realize a tradeoff between bounded delivery times for soft real-time packets and throughput for non real-time traffic over non-microsegmented Switched Ethernet networks. The paper proposes an optimization technique, based on the use of multiobjective optimization, to tune the parameters of the fuzzy controller and discusses the implementation of the optimized fuzzy smoother in a real scenario, also giving comparative performance assessments.
Short electrodynamic tethers

ED bare theters are best systems to deorbit S/C at end of service. For near polar orbits, usual tethers kept vertical by the gravity gradient, yield too weak magnetic drag. Here we propose keeping tethers perpendicular to the orbital plane. they mus be rigid and short for structural reasons, requiring power supply like Ion thrusters. terher tube-booms that can be rolled up on a drum would lie on each side of the S/C. One boom, carying in idle Hollow Cathode, collects electrons; the opposite boom's HC ejects electrons.
Sustainable Pedestrian Bridge Design: A Discussion of the Envision Rating System

A new pedestrian bridge in the City of Long Beach, California, seeks to incorporate sustainable features in the design, but the application of sustainable infrastructure is still undefined. Existing research in this field focuses on calculating embodied energy or embodied carbon, which evaluates sustainability through a strictly environmental lens. A comparison of these criteria to the goals in the Institute for Sustainable Infrastructure's Envision rating system shows that Envision considers a holistic, systemwide interpretation of sustainable infrastructure. Envision is, therefore, most applicable for initial high-level decision making, such as where to locate the project site or whether to hire local workers for the project, which are societal factors that carbon and energy estimates do not take into account. The ideal project will have an appropriate focus on all impacts of a project to create a balanced design.
Combate ao Covid19: Detecção em tempo real de indivíduos sem máscara em ambiente escolar por meio de Deep Learning

Doenças respiratórias como o COVID19 são transmitidas por vias aéreas, principalmente em ambientes onde pode ser difícil manter o distanciamento físico entre as pessoas e a circulação de ar não é satisfatória como é o caso do ambiente escolar. Especialistas da área da saúde recomendam o uso da máscara facial de proteção como forma de controlar a disseminação desse vírus. No Brasil em particular, com o retorno das aulas no formato presencial surge uma nova preocupação com relação ao uso de máscara de proteção por parte da comunidade escolar principalmente na rede pública de educação, onde os espaços de uso coletivo não são amplos e diversos indivíduos resistem ao uso dessa proteção individual. Diante disso, deu-se início ao estudo de um modelo computacional usando Deep Learning chamado YOLO, para detectar por meio das imagens das câmeras de vigilância as pessoas no ambiente escolar que não estão usando máscara. Na fase de testes desse estudo, dentre todas as classificações, indivíduos com máscara e sem máscara, que o modelo fez 100% estavam corretas.
Balanced charging of series connected battery cells

Novel method of charging and discharging the battery cells serially connected is presented. The principle is the control of charge stored in respective cells by using electronic switches so that the voltages of respective cells may be balanced automatically. The circuit to realize this principle is essentially the same as that of the ringing choke converter for the DC-to-DC power converter which is the simplest of minimum number of components. The cell voltage being low from 1.2 V to 3.6 V, the trench type MOSFET for the synchronous rectifier is used as a switching element.
MEASUREMENT OF THE ORGANIZATIONAL INTELLIGENCE

This research had as an objective analyze in a rigorous way, theoretical aspects related to the Organizational Intelligence construct, based on the Fifth Discipline by Peter Senge and the driver elements as the knowledge management, Environment Monitoring and Innovation. To do this, it was developed an exploratory research documentary, under a bibliographical design, obtaining as result the definition of Organizational Intelligence construct, its operationalization and development of organizational practices that brings an instrument scale. The document review provided basic elements, theoretical in the construction of a measurement scale of Organizational Intelligence.
PERFORMANCE MANAGEMENT SYSTEM IN SALE AND DISTRIBUTION: A CASE OF SERBIAN COMPANY

Background: Performance management system (PMS) is the process of quantifying action which leads to organizational efficiency, competitiveness and g rowth. Performance measurement is the vital element of quality management system (QMS). Innovative companies have a strong culture, clear sense of mission and purpos e, a well thought out strategy and business philosophy of con tinuous improvement, driven by QMS. Implementation of QMS ISO9001 standards has encouraged many organizations to develop and implement performance management system. Statement of quality objectives and Measurement, an alysis and improvement as a part of QMS which leads to continual improvement is a vital part of success of company. Therefore PMS influence on sale, distribution and l ogistics companies with a complex processes and great number of subjects in supply chain are of great importance for thei r success. Methods: In our research we analyse measures and measurement approaches and frameworks that exist in logistic management and based on that we present results fro m one SME from eastern European country. We use case study research and therefore we conduct interviews with managers, employees and QMS/PMS implementation staff in sale and distribution company. Results: The aim of this study was to estimate the value of various metrics of the evaluation of QMS implementation. The study was based on case study in one Serbian sa le and distribution company specifically in measure ment part and metrics that are essential for their business and t o compare them with approaches existed in literatur e. We reveal some obstacles in collecting data for measurement and be nchmarking in Serbian market. Different metrics for efficient management of company are implemented in this company based on sales results and customer satisfaction . Conclusion: The importance of the research is in the fact that implementation of QMS reveal the need for PMS implementation and therefore results in certain per formance measures implementation and further continuous tracking of these parameters. We made conclusion that higher business results were reached after PMS implementation and that after implementation of QMS and PMS top managers understand the importance of implementation. We reveal also the fact that in former eastern European socialism countries like Serbia, exist resistance of performance measu rement implementation and publication of these data as wel l as the implementation of benchmarking among companies.