Miracle-dz/UniFAR-FTUs huggingface dataset:
Model the DC-DC Converter with Supercapacitor Module based on System Identification

Supercapacitors are an energy storage device used in the automotive industry. Due to its low energy density, it is difficult to use only supercapacitors in applications. DC-DC converters are used alongside the supercapacitor to maintain the terminal voltage of the supercapacitors. This research proposes a block-box model to represent the behaviour of boost DC-DC converter with supercapacitor module. Real set of signals were collected experimentally from the boost DC-DC converter to estimate transfer function. The NI compact DAQ-9184 was used to capture the experimental measurements, and Matlab System Identification Toolbox was used to identify discrete transfer function. The PID controller had been designed using the estimated transfer function then the model was verified by the SimPowerSystems model of boost DC-DC converter. The Simulation result proves the estimated transfer function of the boost DC-DC converter represent its actual behavior.
A High-Precision Absolute Angular Position Sensor With Vernier Capacitive Arrays Based on Time Grating

This paper presents a high-precision absolute capacitive angular position sensor based on time grating. The sensor includes two single ring incremental type sensors arranged as outer and inner rings of capacitive arrays forming <inline-formula> <tex-math notation="LaTeX">$N$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$N-1$ </tex-math></inline-formula> measurement periods, respectively. The outer ring incremental sensor is employed as a fine measurement component to provide high-precision angular displacement values. The phase difference between the two incremental sensors is employed as a coarse measurement component to achieve absolute angular positioning according to a measurement principle similar to that of a vernier caliper. The proposed design is validated and optimized via tests conducted for a prototype sensor with <inline-formula> <tex-math notation="LaTeX">$N\,\,=180$ </tex-math></inline-formula> and a diameter of 154 mm fabricated using standard printed circuit board manufacturing technology. Based on these results, a differential induction electrode structure is proposed to greatly reduce the magnitude of crosstalk interference signals captured by the induction electrodes of one array produced by the lead wires of the excitation electrodes of the other array. The optimized sensor achieves absolute angular position measurements with an original measurement accuracy of ±2” over a full 360° measurement range. The proposed sensor has advantages of low cost, high measurement precision, simple positioning method, and ease of manufacture.
Heading Drift Reduction for Foot-Mounted Inertial Navigation System via Multi-Sensor Fusion and Dual-Gait Analysis

Foot-mounted inertial navigation is an important issue in areas such as pedestrian localization, gait analysis, and sport training. However, low-cost inertial sensors suffer from several errors that make the navigation results less convincing. In this paper, a multi-sensor approach with one sensor on each foot is presented to reduce the system heading drift. Through dual-gait analysis, gait parameters between two feet are employed to make the non-collocated and uncoupled subsystems be related to each other. A step length estimator based on an inverted pendulum model is developed to derive a relative position vector between the two foot-mounted sensors rather than a distance scalar. A Kalman-type filter with one time update and two measurement updates is developed to fuse the velocity and position observations at foot and person levels, respectively. Experiments were conducted by four healthy subjects, and experimental results show that the proposed sensor fusion method can effectively reduce the heading drift of inertial navigation and make the captured dual-foot motion closer to its actual process.
2D Metamaterial Luneburg Lens for Enhancing the RCS of Chipless Dielectric Resonator Tags

In this paper, a 2D Luneburg lens is proposed to improve the Radar Cross Section (RCS) of dielectric resonator (DR) tags, which would be used for an indoor localization system at THz frequencies where the low RCS of the tag makes the detection against clutter signals difficult. A Luneburg lens made of PTFE is fabricated using milling technique based on metamaterial concept, and characterized using a Vector Network Analyzer (VNA). Three ceramic resonators with different resonance frequencies are placed at different positions in the lens focal area to test the performance of the lens. To prove the concept, the simulation and measurement have been performed at scaled frequencies in the 4.5-7 GHz range. The RCS improvement is found to depend on the lens dimensions and frequencies of operation. A Luneburg lens with a height of 35 mm and a diameter of 66 mm boosts the RCS by 18 dB at 6.2 GHz.
Extrinsic Calibration and Odometry for Camera-LiDAR Systems

Most autonomous mobile robots are often equipped with monocular cameras and 3D LiDARs to perform vital tasks such as localization and mapping. In this paper, we present a two-stage extrinsic calibration method as well as a hybrid-residual-based odometry approach for such camera-LiDAR systems. Our extrinsic calibration method can estimate the relative transformation between the camera and the LiDAR with high accuracy, allowing us to better register the image and the point cloud data. After the calibration, our hybrid-residual-based odometry can be used to provide real-time, accurate odometry estimates. Our approach exploits both direct and indirect image features. The sensor motions are estimated by jointly minimizing reprojection residuals and photometric residuals in a nonlinear optimization procedure. Experiments are conducted to show the accuracy and robustness of our extrinsic calibration and odometry algorithms using both public and self-owned real-world datasets. The results suggest that our calibration method can provide accurate extrinsic parameters estimation without using initial values, and our odometry approach can achieve competitive estimation accuracy and robustness.
Combined PWM Algorithm for Voltage Source Inverter with Microprocessor Control System

Voltage source inverter characteristics are highly dependent on PWM method used in control unit. However, no one of existing methods is optimal for all operational conditions of VSI. Therefore, universal control systems should be used on purpose of such optimization. This paper concerned with the research of some PWM methods and development of microprocessor based control system that allows switching zero-sequence signal between SVPWM and DPWM3 control methods. Matlab/Simulink modeling was performed.
Total variation and point spread function priors for MLEM reconstruction in Compton camera imaging

The Compton camera is a gamma ray imaging device already employed in astronomy and still in investigation for clinical domain. A key point in the imaging process is the tomographic reconstruction step. When the acquisition parameters and the a priori information are correctly accounted for, iterative algorithms are able to produce accurate images by compensating for measurement uncertainties and statistical noise. In this work we focus on the list-mode maximum likelihood expectation maximization (LM-MLEM) algorithm with smoothness a priori information expressed by the total variation norm. This type of regularization is particularly well suited for low-dose acquisitions, as it is the case in the applications foreseen for the camera. We show that the TV a priori strongly improves the images when data are acquired in ideal conditions. For realistic data, this a priori is not sufficient and deconvolution with a pre-calculated image-space kernel should also be considered.
Space-and-Cost-Efficient Neural Control /Sensory Element Using an Analog FPGA

As neural networks are applied to control and sensory, software neuron models cannot sometimes fulfill speed requirement as well as simple add-and-sigmoid is not enough for functionality. This paper proposes a small and inexpensive hardware neuron based on FitzHugh-Nagumo model. By making full use of chip property and maximum circuit packing through placement search, it surpasses the previous implementation by factors of 4 for space and 15 for cost.
Towards Fast and Reliable WiFi Authentication by Utilizing Visible Light Diversity

The openness of indoor WiFi networks makes it prone to spoofing attacks and password leakage/sharing, where undesired users may be able to access the network resources. The fundamental reason is that the actual communication range is much larger than the valid authentication range, leaving undesired users the same chance to access the network from invalid authentication ranges. The existing works exploit various features of wireless signals to identify legitimate/undesired users. Either frequent measurement/learning of signal features or hardware modifications are required. In this paper, we identify visible light (VL) as a good indicator to distinguish the positions of the accessing users due to its frequency diversity. Based on this observation, we propose VL-Auth, a novel Authentication framework based on VL for indoor WiFi networks, which uses the VL features as credentials to authenticate WiFi users. VL-Auth can be easily installed on commercial-off-the-shelf (COTS) devices and do not require frequent measurement/learning of the VL features. We implement VL-Auth with OpenWrt and Android devices. The evaluation results show that compared to the existing works, VL-Auth can accurately identify legitimate/undesired users and the connection delay is also reduced.
Quality of Control Assessment for Tactile Cyber-Physical Systems

In this paper, we evolve a methodology and define a metric to evaluate Tactile Cyber-Physical Systems (TCPS). Towards this goal, we adopt the step response analysis, a well-known control theoretic method. The adoption includes replacing the human operator (or master) with a controller with known characteristics and analyzing its response to slave side haptic sensor step changes. The resulting step response curves demonstrate that the Quality of Control (QoC) metric is sensitive to control loop instabilities and serves as a good indicator of cybersickness experienced by human operators. We demonstrate the efficacy of the proposed methodology and metric through experiments on a TCPS testbed. The experiments include assessing the suitability of several access technologies, intercontinental links and testbed configurations.
Millimeter Wave Remote UAV Control and Communications for Public Safety Scenarios

Communication and video capture from unmanned aerial vehicles (UAVs) offer significant potential for assisting first responders in remote public safety settings. In such uses, millimeter wave (mmWave) wireless links can provide high throughput and low latency connectivity between the UAV and a remote command center. However, maintaining reliable aerial communication in the mmWave bands is challenging due to the need to support high speed beam tracking and overcome blockage. This paper provides a simulation study aimed at assessing the feasibility of public safety UAV connectivity through a 5G link at 28 GHz. Real flight motion traces are captured during maneuvers similar to those expected in public safety settings. The motions traces are then incorporated into a detailed mmWave network simulator that models the channel, blockage, beamforming and full 3GPP protocol stack. We show that 5G mmWave communications can deliver throughput up to 1 Gbps with consistent sub ms latency when the base station is located near the mission area, enabling remote offloading of the UAV control and perception algorithms.
VERGLEICHENDE PÄDAGOGIK

Wissenschaftliche Erkenntnis, die der Gestaltung des menschlichen Lebens dienen soll — und das trifft zweifellos für die pädagogische Wissenschaft zu — muß gleicherweise aus den beiden Quellen der Erfahrung und des kritischen Denkens schöpfen, wenn sie nicht in empirische Enge oder abstrakte Lebensferne geraten soll. Die pädagogische Diskussion der Gegenwart leidet oft an gefährlicher Einseitigkeit, indem die einen aus begrenzter persönlicher oder gesellschaftlicher Erfahrung urteilen, ohne den allgemeinen Zusammenhang zu überschauen, während die anderen glauben, aus allgemeinen, historisch oder formal bestimmten Gedankengängen zu den pädagogischen Problemen der Zeit Stellung nehmen zu können. Eine glückliche Verbindung von Empirie und Spekulation liegt in der vergleichenden Betrachtung und Untersuchung, die seit etwa 150 Jahren zuerst in den Naturwissenschaften, dann auch in den Geisteswissenschaften sich Geltung verschafft hat. Sie beruht auf einer sorgfältigen Feststellung von Tatsachen, Verhaltensweisen oder Sinnzusammenhängen, die durch Nebeneinanderoder Gegenüberstellung das Gemeinsame und Unterscheidende hervortreten lassen und unter allgemeinen Kategorien geprüft werden können. Zu den Begründern dieser Methode gehört kein Geringerer als Goethe. Um die Wende des 18. zum 19. Jahrhundert half er, angeregt durch Naturforscher und Mediziner wie Buffon1), Campers) und Sömmering3) ,die vergleichende Me thode in Botanik, Zoologie und Anthropologie zu entwickeln. 1795 entstand sein „Erster Entwurf einer allgemeinen Einleitung in die vergleichende Anatomie, ausgehend von der Osteologie", die mit dem Satz beginnt: „Naturgeschichte beruht überhaupt auf Vergleichung". Diese Studien führten ihn zu einem praktischen Resultat, der Entdeckung des Zwischenkieferknochens. Viel bedeutender aber ist die denselben Studien entstammende Erkenntnis von der „Metamorphose" im Pflanzenund Tierreich. Goethes Verehrer und jüngerer Zeitgenosse, der Dresdener Philosoph, Maler und Arzt Carl Gustav Carusi), veröffentlichte 1818 ein „Lehrbuch der vergleichenden Zootomie". Franz Bopji'), Professor der orientalischen Literatur und allgemeinen Sprachkunde an der Universität Berlin, begründete 1816 die vergleichende Sprachwissenschaft, während François Villemain"), Professor an der Sorbonne, 1826 den Begriff der vergleichenden Literaturwissenschaft schuf.
Comparisons of Three Monte Carlo Transport Codes in Cask Shielding Calculations :

This paper presents a detailed comparison of two Monte Carlo codes with different FWCADIS implementations (MAVRIC and ADVANTG/MCNP) for solving a difficult real-world cask shielding problem. The predicted surface dose rate distributions were compared to each other as well as to a straightforward MCNP calculation for reference. Both MAVRIC and ADVANTG/MCNP achieved substantial improvements in overall computational efficiencies, especially for gamma-ray transport. Compared with the continuous-energy MCNP and ADVANTG/MCNP calculations, the multigroup MAVRIC calculations underestimated the neutron dose rates at the cask side by approximately a factor of 2 and slightly overestimated the gamma-ray dose rates at the cask surfaces.
The Role of Cultural Nativization in Comprehension of Short Stories in EFL Reading Contexts

The present study aimed to explore the role of cultural nativization in reading comprehension of target language short stories in Iranian EFL learners. For this purpose, 3 American short stories were nativized into learners' own culture (i.e. Persian) following Alptekin's (2006) definition of cultural nativization. Then, 2 types of reading comprehension tests, one based on the original stories and one based on the nativized versions, were developed. To carry out the research, 2 groups of advanced EFL learners, including 29 males and 31 females, participated in the study. In order to collect the relevant data, each version of the reading comprehension test was administered to one group of the subjects. The results clearly illustrated that cultural nativization had a facilitative effect on comprehension of the stories. Surprisingly, this effect was not only at the literal but also at the inferential level of comprehension. The findings of the study bear implications for EFL teachers and material designers.
Scales of identity in the literature of African inde-pendences : an exploratory approach to nationalism , social identities and cultural production

This paper questions how African writers in the age of independences referred in their texts to social identities fashioned upon nation, race, ethnicity and class, in order to define, explain and influence collective action in the frame of particular nation-building projects. After reviewing the possibility of talking of a ‘literature of African independences,’ it is sought to establish the convenience of a ‘bottom-up’ approach to the social classifications involved, understanding them as marks on a scale of identities, rather than discrete conceptual fields. Emphasized here is their ‘practical use’ as a privileged analytical index for the broader universe of African nationalism and its internal struggles. Finally, a small comparative sketch of the divergent possibilities of writing about identities on different scales is presented, drawing upon an illustrative corpus of African writers.
Attribute-based encryption with hidden threshold access structure

This paper proposes attribute-based encryption schemes in which threshold access structures are hidden. With these schemes, an encryptor can encrypt data with hidden attributes. After receiving the ciphertext from the encryptor, a decryptor first tests which block of ciphertext is associated with which attribute. Decryption will be successful if the attributes associated with the secret key of the decryptor satisfy the access structure associated with the encrypted data. The security of the proposed construction is proved in the selective model based on the decisional bilinear Diffie-Hellman assumption. The proposed scheme shows greater flexibility than other hidden access control encryption schemes.
Cluster bias : Testing measurement invariance in multilevel data

Measurement bias can be detected using structural equation modeling (SEM), by testing measurement invariance with multi group factor analysis (MGFA; Jöreskog, 1971; Sörbom, 1974; Meredith, 1993), MIMIC modeling (Muthén, 1989) or with restricted factor analysis (RFA; Oort, 1992, 1998). In educational research, data often have a nested, multilevel structure, for example when data are collected from children in classrooms. Multilevel structures may complicate measurement bias research. In two-level data, the potentially “biasing trait” or “violator” can be a Level 1 variable (e.g., pupil sex), or a Level 2 variable (e.g., teacher sex). One can also test measurement invariance with respect to the clustering variable (e.g. classroom). In this paper, we provide a stepwise approach for the detection of measurement bias with respect to these three types of violators. We propose working from Level 1 upwards, so the final model accounts for all bias and substantive findings at both levels. The 5 proposed steps are illustrated with data concerning teacherchild relationships. Based on: Jak, S. , Oort, F.J. & Dolan, C.V. (in press). Measurement bias in multilevel data. Structural Equation Modeling.
Clinical evaluation of a new collagen matrix ( Mucograft s prototype ) to enhance the width of keratinized tissue in patients with fixed prosthetic restorations : a randomizedprospectiveclinical trial

Aim: The aim of this study was to test a new collagen matrix (CM) aimed to increase keratinized gingiva/mucosa when compared with the free connective tissue graft (CTG). Material and Methods: This randomized longitudinal parallel controlled clinical trial studied 20 patients with at least one location with minimal keratinized tissue (41mm). Main Outcome Measure: The 6-month width of keratinized tissue. As secondary outcomes, the aesthetic outlook, the maintenance of periodontal health and the patient morbidity were assessed pre-operatively at 1, 3 and 6 months. Results: At 6 months, the CTG attained a mean width of keratinized tissue of 2.6 (0.9)mm, while the CM was 2.5 (0.9)mm, these differences being insignificant. In both groups, there was a marked contraction (60% and 67%, respectively) although the periodontal parameters were not affected. The CM group had a significantly lower patient morbidity (pain and medication intake) as well as reduced surgery time. Conclusions: These results prove that this new CM was as effective and predictable as the CTG for attaining a band of keratinized tissue, but its use was associated with a significantly lower patient morbidity.
Version : Published ahead of online first Efficacy , tolerability , and cognitive effects of deep transcranial magnetic stimulation for late-life depression : a prospective randomized controlled trial

word count: 230 Manuscript word count: 4,114 †Corresponding Author Daniel M Blumberger MD MSc Medical Head and Co-Director, Temerty Centre for Therapeutic Brain Intervention Head, Late-Life Mood Disorders Clinic Centre for Addiction and Mental Health Associate Professor, Department of Psychiatry, University of Toronto Mailing: 1001 Queen St. W. Unit 4, Room 115 Toronto, ON M6J 1H4 Tel: 416-535-8501 Fax: 416-583-4613 email: daniel.blumberger@camh.ca © 2018 American College of Neuropsychopharmacology. All rights reserved. Deep TMS for late-life depression
Physicochemical and Sensorial Properties of Sepet Cheeses Packaged under Different Modified Atmospheric Conditions

he aim of the present study was to investigate the physical, chemical, and sensory properties of traditional sepet cheese samples which were packaged under different modified atmosphere conditions (MAP). All properties of the Sepet cheese samples were analyzed at the 1st, 45th, 90th and the 180th day of the storage period at +4°C. In packaging of the cheese samples, three different modified atmosphere packaging conditions were applied. The cheese samples were packaged into polystyrene packages containing 100% nitrogen, 80% nitrogen + 20% carbon dioxide or 100% carbon dioxide. According to the results obtained from statistical analyses, a significant difference was obtained by Modified Atmosphere Packaging (MAP) of Sepet cheese samples in terms of dry matter %, fat-in-dry matter %, salt-in-dry matter %. Examining the sensory properties including mass and texture, appearance, flavor and odor statistically, it was determined that there was a significant difference between the packaged Sepet cheese samples containing 100% CO2 during storage period. In general, it could be said that Sepet cheeses that were only packaged under different modified conditions containing 100 % nitrogen or 80% nitrogen + 20% carbon dioxide provided a better protection in terms of physicochemical and sensorial properties. ÖZET alışmanın amacı farklı modifiye atmosfer koşullarında paketlenen geleneksel Sepet peynirlerinin fiziksel, kimyasal ve duyusal özelliklerini incelemektir. +4 °C’ de depolanan Sepet peynirlerinin tüm özellikleri depolamanın 1. , 45. , 90. ve 180. günlerinde incelenmiştir. Peynirlerin paketlenmesinde 3 farklı modifiye atmosfer koşulu denenmiştir. Üretilen peynirler % 100 N2 (N), % 80 N2 + % 20 CO2 (NC), % 100 CO2 (C) içeren atmosfer koşullarda polistiren ambalajlarda paketlenmiştir. İstatistiksel analiz sonucunda modifiye atmosfer koşullarında (MAP) paketlenen Sepet peyniri örneklerinin kurumadde, kurumadde de yağ % ve kurumadde de tuz % içeriklerinde meydana gelen değişimlerin önemli olduğu tespit edilmiştir. Kitle, tekstür, görünüş, lezzet ve aromayı içeren duyusal özellikler istatistiksel olarak incelendiğinde, sadece CO2 içeren atmosferik koşullarda paketlenen peynirlerde depolama süresince farklılık olduğu gözlenmiştir. Genel olarak bakıldığında % 100 N2 (N), % 80 N2 + % 20 CO2 (NC) gazlarını içeren farklı modifiye koşullarda paketlenmiş olan Sepet peynirlerinin fizikokimyasal ve duyusal özelliklerini daha iyi muhafaza ettiği görülmüştür.