Miracle-dz/UniFAR-FTUs huggingface dataset:
Spectral Design of Randomized Pulse Width Modulation in DC to AC Converters

This paper presents several new results and ideas. First the harmonic spectrum and power spectral density (noise density) of random width modulation for minimum loss vector PWM is analyzed and plots for one case of modulation and randomization parameters are given. As a result of the analysis of this modulation scheme, a novel time-domain formulation (autocorrelation) of the spectral information is presented. In this form we find all of the necessary details for understanding the mechanisms of general randomization schemes for suppressing harmonics and converting harmonic power to the noise spectral density. The insights found in the autocorrelation expressions allow at least one optimum design of the randomization parameters of any PWM method. The proposed optimization is but one of many indicated and implied by our methods. Introduction Research on random pulse width modulation (RPWM) techniques for static power converters, mainly three -phase inverters, has recently gained momentum. Initiated by our paper [l] in 1987, in 1992 alone the studies on various WWM issues were reported in over a dozen publications [2]. The RPWM techniques have been found to significantly improve the noise and vibration characteristics of converter-fed motors in adjustable speed drive systems [3,4]. Figure 1 shows both deterministic and random switching rate or random width P W M signals for producing ac from a dc source. The deterministic pattern is often calculated to maximize fundamental power while sometimes nulling or minimizing some selected harmonics. However all deterministic modulations have exactly the same switching patterns in all periods of the fundamental. This naturally leads to harmonics. The basic principle of RPWM consists in introduction of a random factor to the switching patterns of the controlled converter. With regard to three-phase inverters, each cycle of the output voltage is generated by a different randomized combination of pulses of the a(t) deterministic PWM T I
Efficient Scheduling, Mapping and Resource Prediction for Dynamic Run time Operating Systems

Efficient Scheduling, Mapping and Resource Prediction for D ynamic Run time Operating Systems Ahmed Al-Wattar University of Guelph, 2015 Advisor: Professor Shawki Areibi Several embedded application domains for reconfigurable sy stems tend to combine frequent changes with high performance demands of their workloads su ch as image processing, wearable computing and network processors. Time multiplexing of rec onfigurable hardware resources raises a number of new issues, ranging from run-time systems o complex programming models that usually form a Reconfigurable hardware Operating Syste m (ROS). In this thesis a novel ROS framework that aids the designer from the early design stage ll the way down to the hardware implementation is proposed. An efficient reconfigurable pla tform was implemented along with several novel scheduling algorithms. The algorithms propo sed tend to reuse hardware tasks to reduce reconfiguration overhead, migrate tasks between sof tware/hardware to efficiently utilize resources and reduce computation time. A framework for effic i nt mapping of execution units to task graphs in a runtime reconfigurable system is also design d. The framework utilizes an Island Based Genetic Algorithm flow that optimizes several obj ectives including performance, area and power consumption. The proposed Island based GA framewo rk achieves on average 55.2% improvement over a single GA implementation and 80.7% impro vement over a baseline random allocation and binding approach. Finally, we present a nove l adaptive and dynamic methodology based on a Machine Learning approach for predicting and esti mating the necessary resources for an application based on past historical information. An imp ortant feature of the proposed methodology is that the system is able to learn and generalize and, t herefore, is expected to improve its accuracy over time.
The Handbook of Computational Linguistics and Natural Language Processing

The Handbook of Computational Linguistics and Natural Language Processing provides a comprehensive overview of the concepts, methodologies, and applications being undertaken today in computational linguistics and natural language processing. The work begins with an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has produced. Also included is a detailed synopsis of the most cutting edge research. The major developments in this dynamic field are presented in an accessible way that explains the close connection between scientific understanding of the computational properties of natural language and the creation of effective language technologies. The Handbook serves as an invaluable state-of-the-art reference source for computational linguists and software engineers developing natural language applications in industrial research and development labs of software companies, as well as for graduate students and researchers in computer science, linguistics, psychology, philosophy, and mathematics working within computational linguistics.
The development of critical thinking competency amongst vocational administrators

ABSTRACT The development of critical thinking skills amongst educational managers is still in its infancy in Thailand. To assist the development, six learning packages corresponding to the taxonomy of Bloom et al were developed and administered to an experimental group during a course on critical thinking on an MIEd course for educational administration. The results were seen to be significant for those students using the study packages against the control group who just attended the class. Some implication of the findings are discussed.
Les Écrits professionnels des enseignants. Approche didactique

L’objectif de cet ouvrage est d’ouvrir une piste de reflexion et de recherche originale sur le travail enseignant, par un angle d’attaque encore neglige actuellement : les ecrits professionnels des enseignants, autrement dit les ecrits qu’ils produisent dans le cadre de leur activite professionnelle. L’ouvrage vise donc a mieux comprendre un aspect particulier du travail enseignant, qui reste encore mal cerne, les ecrits professionnels des enseignants ayant fait l’objet d’une faible attention en dehors des situations de formation. Les auteurs ont choisi d’entreprendre l’exploration de la question par une approche didactique, en interrogeant ce que les ecrits et leurs modes de productions revelent des savoirs disciplinaires en jeu, des modalites de leur enseignement et de leur apprentissage, des conceptions de la discipline… Dans cette entreprise, les ecrits sont envisages comme un objet d’analyse en soi, mais aussi comme des revelateurs d’une conception du metier par les acteurs.
STUDI PENGARUH BAHAN PENUTUP ATAP TERHADAP KONDISI TERMAL PADA RUANG ATAP

Abstract: . The uncomfortable thermal conditions in the building are complained of by the inhabitants due to the inappropriate selection of roofing materials, thus making the building unable to achieve the expected thermal conditions. Selection of appropriate roofing material will help in air cooling process and minimize energy use for cooling space. This study was conducted to determine the thermal conditions of roof space generated from various types of roofing materials that have been determined. The study object of this study is the roof space in residential buildings with a saddle roof shape with a slope of 30 O roof angle. Roofing material is tile, asbestos and zinc. The results data show that the average thermal spaces of roof space on tile roofs are 1.91 O C-2.31 O C lower than the asbestos roof and zinc. Roof tile is also more able to withstand the sun's heat radiation. The average surface tile roof temperature is 0.28˚C lower than the surface temperature of the asbestos roof and 1.55˚C lower than the zinc roof surface temperature. However, the average profile of the lowest roof surface temperature during the daytime is on the asbestos roof (38.71˚C). Keyword: Roofing material, Thermal condition, Roof room Abstrak: Kondisi termal yang tidak nyaman pada bangunan banyak dikeluhkan oleh penghuni karena pemilihan material atap yang tidak sesuai, sehingga menjadikan bangunan tidak dapat mencapai kondisi termal yang diharapkan. Pemilihan material penutup atap yang tepat akan membantu di dalam proses pendinginan udara serta meminimalisir penggunaan energi untuk pendinginan ruang. Penelitian ini dilakukan untuk mengetahui kondisi termal ruang atap yang dihasilkan dari berbagai jenis bahan material atap yang sudah ditentukan. Objek studi dari penelitian ini adalah ruang atap pada bangunan rumah tinggal dengan bentuk atap pelana dengan kemiringan sudut atap 30 O . Bahan penutup atap adalah genteng, asbes dan seng. Data hasil penelitian menunjukkan bahwa rata-rata termal ruang atap pada atap genteng lebih rendah 1.91 O C-2.31 O C dari atap asbes dan seng. Atap genteng juga lebih dapat menahan radiasi panas matahari. Rata-rata nilai temperatur permukaan atap genteng lebih rendah 0.28˚C dari temperatur permukaan atap asbes dan 1.55˚C lebih rendah dari temperature permukaan atap seng. Namun rata-rata profil temperatur permukaan atap terendah saat siang hari adalah pada atap asbes (38.71˚C). Kata Kunci: Bahan penutup atap, Kondisi termal, Ruang atap
Software Reuse: Domain Analysis and Design Processes

From the Publisher: Large-scale software systems used by government and corporations - they are anything but simple, but object-oriented programming has made these systems far easier to manage through software reuse. Now comes a trailblazing resource that goes a long way in simplifying the process of software reuse itself: Software Reuse: Doamin Analysis and Design Processes. The first book to focus on domain analysis and design processes, it lays out an innovative, comprehensive, and unified approach to large-scale software projects - one that integrates object-oriented components, design patterns, and conversion tools that make code written for one purpose serve other uses.
Uma abordagem computacional de análise de opinião para identificação de preconceito em redações

The large adoption of the ENEM grade as an instrument to evaluate students in higher education, the number of people performing this test increased significantly. Among the evaluation methods, this test includes an essay. In this exam is required to respect human rights. In this context, this work proposes the analysis of different algorithms for the identification of hate speech in essays. It adopts a hybrid approach combining machine learning techniques and lexical dictionaries. Several experiments were conducted and in the best case the proposal reached a f-measure of 82.10%. Finally, a qualitative study was carried out where essays evaluators indicated that the adoption of the proposed tool would aid in the correction of essays. Resumo. Com a grande adoção da nota ENEM como instrumento para avaliar estudantes no ingresso do ensino superior, o número de pessoas que passou a fazer essa prova aumentou significativamente. Dentre as etapas da prova existe uma redação que avalia, entre outras coisas, se o estudante fez o seu texto respeitando os direitos humanos. Diante disto, este trabalho propõe a análise de diferentes algoritmos para identificação de frases preconceituosas em redações. Para isso, foi utilizada uma abordagem hı́brida combinando técnicas de aprendizagem de máquina e dicionários léxicos. Foram realizados diversos experimentos, no melhor caso a proposta atingiu uma f-measure de 82,10%. Por fim, foi realizado um estudo qualitativo onde avaliadores de redação indicaram que a adoção da ferramenta proposta auxiliaria na correção de redações.
PROME: projected measures model for fast human shape estimation

Human parametric models can provide useful constraints for human shape estimation to produce more accurate results. However, the state-of-art models are computational expensive which limit their wide use in interactive graphics applications. We present PROME (PROjected MEasures) - a novel human parametric model which has high expressive power and low computational complexity. Projected measures are sets of 2D contour poly-lines that capture key measure features defined in anthropometry. The PROME model builds the relationship between 3D shape and pose parameters and 2D projected measures. We train the PROME model in two parts: the shape model formulates deformations of projected measures caused by shape variation, and the pose model formulates deformations of projected measures caused by pose variation. Based on the PROME model we further propose a fast shape estimation method which estimates the 3D shape parameters of a subject from a single image in nearly real-time. The method builds an optimize problem and solves it using gradient optimizing strategy. Experiment results show that the PROME model has well capability in representing human body in different shape and pose comparing to existing 3D human parametric models, such as SCAPE[Anguelov et al. 2005] and TenBo[Chen et al. 2013], yet keeps much lower computational complexity. Our shape estimation method can process an image in about one second, orders of magnitude faster than state-of-art methods, and the estimating result is very close to the ground truth. The proposed method can be widely used in interactive applications such as virtual try-on and virtual reality collaboration.
Organohalide Lead Perovskites: More Stable than Glass under Gamma‐Ray Radiation

Organohalide metal perovskites have emerged as promising semiconductor materials for use as space solar cells and radiation detectors. However, there is a lack of study of their stability under operational conditions. Here a stability study of perovskite solar cells under gamma‐rays and visible light simultaneously is reported. The perovskite active layers are shown to retain 96.8% of their initial power conversion efficiency under continuous irradiation of gamma‐rays and light for 1535 h, where gamma‐rays have an accumulated dose of 2.3 Mrad. In striking contrast, a glass substrate shows obvious loss of transmittance under the same irradiation conditions. The excellent stability of the perovskite solar cells benefits from the self‐healing behavior to recover its efficiency loss from the early degradation induced by gamma‐ray irradiation. Defect density characterization reveals that gamma‐ray irradiation does not induce electronic trap states. These observations demonstrate the prospects of perovskite materials in applications of radiation detectors and space solar cells.
The Association between Depression and Heart Disease: The Role of Genetic Factors

The comorbidity between major depressive disorder (MDD) and coronary artery disease (CAD) has been robustly supported by a large number of observational studies.A large meta-analysis showed MDD to be associated with an 80% increased risk of developing CAD or dying from it, although this estimate may still need to be adjusted in view of evident publication bias and incomplete and non-systematic adjustment for conventional risk factors and severity of CAD at baseline [1]. Most of the literature on this comorbidity has tended to favour the hypothesis of a causal effect of MDD on CAD, but reversed causality has also been suggested to contribute. Patients with severe CAD at baseline, and consequently a worse prognosis, may simply be more prone to report mood disturbances than less severely ill patients. Furthermore, in pre-morbid populations, insipid atherosclerosis in cerebral vessels may cause depressive symptoms before the onset of
Research on Three-dimensional Motion History Image Model and Extreme Learning Machine for Human Body Movement Trajectory Recognition

Based on the traditional machine vision recognition technology and traditional artificial neural networks about body movement trajectory, this paper finds out the shortcomings of the traditional recognition technology. By combining the invariant moments of the three-dimensional motion history image (computed as the eigenvector of body movements) and the extreme learning machine (constructed as the classification artificial neural network of body movements), the paper applies the method to the machine vision of the body movement trajectory. In detail, the paper gives a detailed introduction about the algorithm and realization scheme of the body movement trajectory recognition based on the three-dimensional motion history image and the extreme learning machine. Finally, by comparing with the results of the recognition experiments, it attempts to verify that the method of body movement trajectory recognition technology based on the three-dimensional motion history image and extreme learning machine has a more accurate recognition rate and better robustness.
A Status-Seeking Account of Psychological Entitlement

We propose that people high in entitlement are characterized by motivation to attain status. Five studies (total N = 2,372) support that entitlement promotes motivation to seek status. This motivation, in turn, relates to affective processes when facing upward comparisons and contributes to status attainment. Specifically, entitlement fostered prestige and dominance motivation. These, in turn, predicted greater benign and malicious envy, respectively, when encountering high-status others. The indirect effects occurred when entitlement was measured (Studies 1A and 1B) and manipulated (Studies 2A and 2B). Finally, entitlement related to status attainment, yet not always in line with more entitled people’s motivation. Although they ascribed themselves both more prestige and dominance, others ascribed them only more dominance, yet less prestige (Studies 3A, 3B, and 3C). These findings suggest that a status-seeking account offers important insights into the complexities of entitled behavior and its social consequences.
Position Control of Linkage Underactuated Robotic Hand

In this study a proposed PID control system for (Ca.U.M.Ha) robotic hand with a finger and a thumb introduced, to control grasping cylindrical objects made from different materials soft and hard within a range of (48-150) mm in diameter . A samples of PID response figures for object that need just a finger, and object that needs a finger with a thumb introduced in additional to the figures of actuators voltage needed for both cases through grasping. Keyw o rds : Linkage , underactuated, position PID control
Tracing Genres Through Organizations: A Sociocultural Approach to Information

A sociocultural study of workers' ad hoc genre innovations and their significance for information design In Tracing Genres through Organizations, Clay Spinuzzi examines the everyday improvisations by workers who deal with designed information and shows how understanding this impromptu creation can improve information design He argues that the traditional user centered appA sociocultural study of workers' ad hoc genre innovations and their significance for information design In Tracing Genres through Organizations, Clay Spinuzzi examines the everyday improvisations by workers who deal with designed information and shows how understanding this impromptu creation can improve information design He argues that the traditional user centered approach to design does not take into consideration the unofficial genres that spring up as workers write notes, jot down ideas, and read aloud from an officially designed text These often ephemeral innovations in information design are vital components in a genre ecology (the complex of artifacts mediating a given activity) When these innovations are recognized for what they are, they can be traced and their evolution as solutions to recurrent design problems can be studied Spinuzzi proposes a sociocultural method for studying these improvised innovations that draws on genre theory (which provides the unit of analysis, the genre) and activity theory (which provides a theory of mediation and a way to study the different levels of activity in an organization) After defining terms and describing the method of genre tracing, the book shows the methodology at work in four interrelated studies of traffic workers in Iowa and their use of a database of traffic accidents These workers developed an ingenious array of ad hoc innovations to make the database better serve their needs Spinuzzi argues that these inspired improvisations by workers can tell us a great deal about how designed information fails or succeeds in meeting workers' needs He concludes by considering how the insights reached in studying genre innovation can guide information design itself When somebody should go to the ebook stores, search start by shop, shelf by shelf, it is essentially problematic. This is why we present the ebook compilations in this website. It will completely ease you to look guide Tracing Genres Through Organizations: A Sociocultural Approach to Information Design as you such as.
Indoor Pedestrian Self-Positioning Based on Image Acoustic Source Impulse Using a Sensor-Rich Smartphone

The ubiquity of sensor-rich smartphones provides opportunities for a low-cost method to track indoor pedestrians. In this situation, pedestrian dead reckoning (PDR) is a widely used technology; however, its cumulative error seriously affects its accuracy. This paper presents a method of combining infrastructure-free indoor acoustic self-positioning with PDR self-positioning, which verifies the rationality of PDR results through the acoustic constraint between a sound source and its image sources. We further determine the first-order echo delay measurements, thus obtaining the mobile user position. We verify that the proposed method can achieve a continuous self-positioning median error of 0.19 m, and the error probability below 0.12 m is 54.46%, which indicates its ability to eliminate PDR error, as well as its adaptability to environmental disturbances.
Simple Demapping Methods for Turbo Coded Noncoherent MFSK Systems Under Rayleigh Fading Channels

This paper proposes new suboptimum, yet very efficient demapping methods for Turbo coded noncoherent MFSK systems under AWGN and Rayleigh fading channels with channel state information. Simulation results show that the proposed methods achieve performance within 0.2 dB of the maximum-likelihood decoder and the previously proposed suboptimum demapping schemes with a fraction of the complexity.
Virtual Electronic Health Record Technology with Simulation-Based Learning in an Acute Care Pharmacotherapy Course

Electronic health record (EHR) technology use in the educational setting to advance pharmacy practice skills with patient simulation has not been described previously in the literature. Therefore, the purpose of this study was to evaluate the impact of a virtual EHR on learning efficiency, perceptions of clinical skills, communication, and satisfaction. This was a prospective study conducted in a cardiovascular therapeutics course in the Doctor of Pharmacy curriculum. Students were randomized to use of a virtual EHR with patient simulation or to patient simulation alone (control). The efficiency of learning was assessed by the time to optimal recommendation for each scenario. Surveys (n = 12 questions) were administered electronically to evaluate perceptions of clinical skills, communication, and learning satisfaction. Data were analyzed with the Mann–Whitney U or Wilcoxon signed-rank test as appropriate. Use of the virtual EHR decreased the amount of time needed to provide the optimal treatment recommendations by 25% compared to control. The virtual EHR also significantly improved students’ perceptions of their clinical skills, communication, and satisfaction compared to control. The virtual EHR demonstrated value in learning efficiency while providing students with an engaging means of practicing essential pharmacist functions in a simulated setting.