Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of Counter-Rotating Wind Turbines

This paper presents a study on the performance of a wind turbine with two counter-rotating (CRWT) rotors. The characteristics of the two counter-rotating rotors are on a 3-bladed Nordtank 500 kW rotor. The analysis has been carried out by using an Actuator Line technique implemented in the Navier-Stokes code EllipSys3D. The analysis shows that the Annual Energy Production can be increased to about 43.5 %, as compared to a wind turbine with a single rotor. In order to determine the optimal settings of the CRWT turbine, parameters such as distance between two rotors and rotational speed have been studied.
Silicon nanocrystal memories by LPCVD of amorphous silicon, followed by solid phase crystallization and thermal oxidation

Silicon nanocrystals memory cells of an n-MOSFET type were fabricated and tested, based on a silicon nanocrystal gate MOS structure fabricated by low-pressure chemical vapor deposition (LPCVD) of amorphous silicon (α-Si) on a tunneling silicon dioxide layer, followed by solid phase crystallization and high temperature thermal oxidation. A layer of silicon nanocrystals embedded in SiO2 at a tunneling distance (3.5 nm) from the silicon substrate was thus formed. The obtained memory cells showed a full-write, full-erase memory window of the order of 0.5 V under charging with pulses of 7 V and -8 V respectively at 100 ms.
Minimum resonant capacitor design of high‐power LLC resonant converter for comprehensive efficiency improvement in battery charging application

Here, a minimum resonant capacitor design approach is proposed for the insulated-gate bipolar transistor (IGBT)-based high-power LLC resonant converter to improve its comprehensive efficiency in the electric vehicle (EV) battery charging application. The mathematical model of LLC resonant converter is established by using the first harmonic approximation (FHA) method. Then, the switching losses of IGBT-based high-power LLC resonant converter are analysed. Also, the relationship between predominant turn-off losses and turn-off current of power device IGBT is derived. To improve the comprehensive efficiency, the minimum resonant capacitor is proposed to reduce the turn-off losses, avoiding complex control or auxiliary circuit. Finally, the proposed approach is verified by a 2 kW LLC resonant converter prototype with 690 V DC input voltage and 75-150 V DC output voltage. Experimental results show the comprehensive efficiency of the prototype is up to 93.7%.
Generalized linear models for ordered categorical data

Abstract Categorical scale data are only ordinal and defined on a finite set. Continuous scale data are only ordinal and defined on a bounded interval. Due to that character, the statistical methods for scale data ought to be based on orders between outcomes only and not any metric involving distance measure. For simple two-sample scale data, variants of classical rank methods are suitable. For regression type of problems, there are known good generalized linear models for separate categories for a long time. In the present article is suggested a new generalized linear type of model based on non parametric statistics for the whole scale. Asymptotic normality for those statistics is also shown and illustrated. Both fixed and random effects are considered.
Passive Acoustic Glider for Seabed Characterization at the New England Mud Patch

Acoustic payload-equipped underwater gliders are proving to have great potential for maritime intelligence, surveillance, and reconnaissance missions, as well as oceanic environment characterization. This article demonstrates their capabilities for seabed characterization using broadband signals received on a hydrophone-equipped Teledyne Webb Research Slocum glider during the 2017 Seabed Characterization Experiment (SBCEX) conducted on the New England Mud Patch. In the experiment, a source ship maintained a fixed position while combustive sound-source signals were emitted at about 2 min intervals. The glider was programmed to follow a sawtooth-like track through the water column approximately 8 km from the source in an area where the water was ∼72 m deep. Two transmissions were received by the glider at depths separated by about 15 m. Trans-dimensional Bayesian geoacoustic inversion was applied to modal-dispersion data extracted from the received signals via a time-warping technique to study the consistency of the inversion results for signals received at different depths, and the advantages of including signal receptions at different depths in simultaneous inversion. The inferred geoacoustic properties are in good agreement with independent core measurements collected during a geophysical survey, and with other inversion results using data collected by dedicated bottom-moored receivers in the vicinity.
Design of a Concentrically Stacked Modular Actuator with Forced Air Cooling for Multi-DOF Robotic Systems

This paper proposes a concentrically stacked modular (CoSMo) actuator with rotary electric motors to implement multi-degree-of-freedom (multi-DOF) robotic systems with high power densities. The CoSMo actuator shows a novel design concept, which enables the actuator module with an integrated radiator to be combined in series and cooled by a single fan. This unique system has elevated thermal characteristics owing to the heatsink sharing effect. This enables the module to carry higher current by decreasing the temperature-rise rate. Also, the proposed design concept reduces the number of components required for cooling and allows the actuator to be placed concentrically, which contributes to the system having low mechanical impedance and higher power output per unit mass. The thermal characteristics and feature of the CoSMo actuator were analytically and numerically verified by simulation using a simplified model. To advance the thermal characteristics of the system further, the adequate actuator types for the CoSMo actuator were analyzed and a prototype was fabricated based on the analysis. Through the experiment using the prototype, we verified that the maximum continuous current that can be applied to the CoSMo actuator is up to about three times greater than the rated current in a forced air-cooling environment.
Arabic Translation, Cultural Adaptation and Psychometric Validation of the Post-Study System Usability Questionnaire (PSSUQ)

ABSTRACT This study aimed at cross-culturally translating and adapting the Post-Study System Usability Questionnaire (PSSUQ), and then evaluated the psychometric properties of the resulting instrument. The PSSUQ was culturally adapted to suit the Arabic context in accordance with standard guidelines. The psychometric evaluation of the resulting Arabic version of the questionnaire (A-PSSUQ) involved assessing content validity and face validity, conducting a factor analysis, and testing reliability by internal consistency (Cronbach’s alpha). The validity assessment indicated that the A-PSSUQ had a high level of validity, where the scale-content validity index value was 0.931 and the scale-face validity index value was 0.975. In addition, the factor analysis revealed that the structure of the A-PSSUQ was similar to that of the original questionnaire, consisting of a three-factor 16-item solution (accounting for 78.275% of the explained variance). The A-PSSUQ also exhibited high internal consistency, with a Cronbach’s alpha value of 0.956 for the whole questionnaire, 0.913 for the system quality subscale, 0.883 for the information quality subscale, and 0.890 for the interface quality subscale. These results indicate that the A-PSSUQ is a valid and reliable instrument that can be used by Arabic usability practitioners when performing usability research.
Measuring the response time and static rheological properties of electrorheological fluids with regard to the design of valves and their controllers

The rheological properties of the commercially used electrorheological fluid Rheoil 3.0 is measured using flow channels, that provide similar flow conditions to many electrorheological applications. The static dependence of the apparent viscosity on the field strength, the shear rate and the temperature as well as the response time of a change in the viscosity upon a changed electric field are measured and approximated by a mathematical model that can be used to design electrorheological valves and to estimate their dynamic performance.
Ultimate capacity of barrier–deck anchorage in MTQ TL-5 barrier reinforced with headed-end, high-modulus, sand-coated GFRP bars

This paper presents an experimental program in order to justify the barrier design at the barrier-deck junction when compared to the factored applied transverse vehicular loading specified in the CHBDC Code. Compared to the dimensioning and the GFRP bar detailing of a recently crash-tested GFRP-reinforced barrier, the adopted barrier configurations in this paper were similar to those specified by Ministry of Transportation of Quebec (MTQ) for TL-5 barrier except that the base of the barrier was 40 mm narrower and the deck slab is of 200 mm thickness, leading to reduction in the GFRP embedment depth into the deck slab. Four full-scale TL-5 barrier specimens were tested to-collapse. Correlation between the experimental findings and the factored applied moments from CHBDC equivalent vehicle impact forces resulting from the finite-element modelling of the barrier-deck system was conducted followed by recommendations for use of the proposed design in highway bridges in Quebec.
Comparative analysis of Human Activity Recognition and object detection

Human Activity Recognition (HAR) is the ability to interpret human body gesture or motion and determine human activity or action. Most of the tasks can be done automatically if they can be recognized via HAR system. HAR is an essential part of various scientific research contexts and the daily defence system i.e. surveillance, healthcare and human computer interaction (HCI). In computer vision, images and videos are analysed using different techniques. While recognition of activity in the real time environment the speed of the technique matters because if the system can detect the object in the images and videos at real time then it can be forwarded for the activity recognition process. How correctly the technique detects the object and differentiates the human object and other object and how much time it is taking to give the correct object, the number of frames it processes per second all matters. This paper deals with the comparison of the performance of YOLO (You Only Look Once) and Faster R-CNN in recognizing the human activity and detecting object.
An Analytical Approach and Optimization of Curvature Gauge

The ‘curvature gauge’ is sensor for the monitoring of deflection of structures under mechanical loading in applications in which strain gauges have traditionally been used. The sensitive zone of the curvature gage is precision machined into the plastic optical fibre on grinding or milling machines. The cut-out produced removes a part of the fibre core and introduces a loss of light propagating along. The extent of such loss is related to the bendradius of the fibre. In this work we present an analytical approach of this sensor. The operation of this curvature gauge is now explained and estimated in order to optimise it and improve its performances. The results are shown that relate the relative light-loss to the fibre curvature for different parameters (its depth, length, number of cuts, bend radius and pitch of cuts). Proposed model allows a quantitative optimization of curvature gauge without the necessity for making of the thousands of sensors with slightly different parameters in order to accomplish a similar objective experimentally.
Broadband and low-crosstalk polarization splitter-rotator with optimized tapers

We proposed and experimentally demonstrated high-performance 1550- and 1310-nm silicon polarization splitter-rotators (PSRs) with optimized tapers. Each PSR consists of a particle swarm optimization (PSO)-based bi-level taper and shortcuts to an adiabaticity (STA)-based ridge-waveguide coupler. Ridge waveguides are introduced to increase the coupling coefficient of the STA-based coupler. The measured polarization conversion loss and polarization crosstalk are less than 0.74 and −20 dB, respectively, in the wavelength range of 1500–1600 nm for the 1550-nm PSR, and less than 1 and −23 dB, respectively, in the wavelength range of 1260–1340 nm for the 1310-nm PSR.
Secure Data Exchange Using Authenticated Attribute-Based Encdryption with Revocation for Environmental Monitoring

Internet of things grown very rapidly, one of them is application smartcity for monitoring the environment. The environmental monitoring use the wireless sensor networks (WSN) technology to collect all of the data. All the data collected by the WSN will be sotred in the Data Center, where all of the data in the Data Center can be accessed by the user everytime and everywhere. The data center without security mechanism is very dangerous because all of data can be tracked and even modified by the users. There are need security mechanism for securing the data and monitoring access from each user. Chipertext Policy Attribute Based-Encryption (CP-ABE) with Authentication and Revocation can become a solution for this problem, where all of data in the data center can be protected with encryption and decryption mechanism. Its jut not protect the data, the security will give a guarantee for originality in the data and can give a control access for user who did the illegal access. The user who did the illegal access will be revoked by the system. Our security mechanism using the CP-ABE and timestamp digital signature using Rivest, Shamir Adleman (RSA) 2048 does not affect to performance of the system.
HARMONIC SUPPRESSED COMPACT STEPPED IMPEDANCE UNIPLANAR DIPOLE ANTENNA FOR WLAN APPLICATIONS

A compact stepped-impedance dipole antenna with harmonic suppression is presented. The antenna occupies an overall size of 40× 12× 1.6mm3 when being printed on a substrate with a relative dielectric constant of 4.4 and loss tangent 0.02. The simulation and experiments are well matched and offer a 2 : 1 V SWR (S11 < −10 dB) bandwidth of 590MHz at 2.45GHz. In comparison with a conventional strip dipole, the stepped impedance based dipole antenna shows complete suppression of the first and second harmonics making it suitable as an efficient EMI emission free antenna for widely used Bluetooth and WLAN applications. It can also be employed for wireless power transfer applications with more efficiency.
Multiple kernel learning using nonlinear lasso

Multiple kernel learning (MKL) is a principled way for kernel fusion for various learning tasks such as classification, clustering, and dimensionality reduction. The least absolute shrinkage and selection operator (Lasso) allows computationally efficient feature selection based on the linear dependence between input features and output values. In this paper, we develop a novel MKL model based on a nonlinear Lasso, that is, the Hilbert–Schmidt independence criterion (HSIC) Lasso. In the proposed model, we first propose the HSIC Lasso‐based MKL formulation, which has a clear statistical interpretation that minimum redundant kernels with maximum dependence on output labels are found and combined, and also that the global optimal solution can be computed efficiently by solving a Lasso optimization problem. After the optimal kernel is obtained, the support vector machine (SVM) is used to select the prediction hypothesis. It is evident that the proposed MKL is a two‐stage kernel learning approach. Extensive experiments on real‐world datasets from the UCI benchmark repository validate the superiority of the proposed model in terms of prediction accuracy. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
Modelling the Dynamic Impacts of High Speed Rail Operation on Regional Public Transport—From the Perspective of Energy Economy

While the introduction of a high speed rail (HSR) provides passengers with another more environmentally friendly, convenient, and time-saving transport option, it also disrupts the existing passenger transport market. This study adopts time series analysis to model the dynamic competition in a regional passenger transport market when an HSR is introduced. The analyses include examining the long-run equilibrium and causal relationships, and the short-run causality and dynamic relationships between transport modes. In addition, based on the model we conduct impulse response tests and variance decomposition tests to further interpret the interactions between two transport modes. An empirical study is carried out, and the findings indicate that the HSR has a negative impact on conventional rail and air transport in the long-run. In the short-run dynamics, the air passenger transport volume could be regarded as a good predictor of HSR passenger volume. In turn, the HSR passenger volume could be used to predict conventional rail transport volume. The operations of HSR and conventional rail are complementary in the short term. From the short-run market viewpoint, the HSR and conventional rail meet different kinds of passenger demand. Therefore, a previous increased passenger volume for the HSR implies an overall increasing demand for regional transport. Consequently, the past increased HSR passenger volume could be used to predict the growth of conventional rail transport. Through the impulse response test, we can further track the responses of the three transport modes to the shocks from themselves and each other.
Quantum marginal problem and N-representability

A fermionic version of the quantum marginal problem was known from the early sixties as N-representability problem. In 1995 it was mentioned by the National Research Council of the USA as one of ten most prominent research challenges in quantum chemistry. In spite of this recognition the progress was very slow, until a couple of years ago the problem came into focus again, now in the framework of quantum information theory. In the paper I give a survey of the recent development.
Analysis on surface texture software measurement standards and their application

For surface texture measuring instruments, the embedded analysing and evaluating software is as important as its hardware for accurate and integral performance. To evaluate the precision and correctness of the software, software measurement standards have been proposed in ISO 5436-2 (2001). As the traditional hardgauge specimens, which are used to calibrate the instrument hardware, the software measurement standards were designed for calibrating the software of the instrument. In this paper, the software measurement standards, including two types of standards Type F1—reference data, Type F2—reference software and data file formats of Type F1, are described. Their recent developments worldwide are reviewed, and differences among software measurement standards for the surface texture developed by different organizations are compared and analyzed in the light of a practical application example of the standards. (PACS, Measurement Science and Technology)
Design of a rotary dielectric elastomer actuator using a topology optimization method based on pairs of curves

Dielectric elastomers (DE), known as electromechanical transducers, have been widely used in the field of sensors, generators, actuators and energy harvesting for decades. A large number of DE actuators including bending actuators, linear actuators and rotational actuators have been designed utilizing an experience design method. This paper proposes a new method for the design of DE actuators by using a topology optimization method based on pairs of curves. First, theoretical modeling and optimization design are discussed, after which a rotary dielectric elastomer actuator has been designed using this optimization method. Finally, experiments and comparisons between several DE actuators have been made to verify the optimized result.
Transonic flow hysteresis in a twin intake model

ABSTRACT Turbulent airflow in a supersonic intake model of rectangular cross-section is studied numerically. Instability of shock waves formed in the intake and ahead of the entrance is examined. Solutions of the Reynolds-averaged Navier–Stokes equations are obtained with a finite-volume solver of second-order accuracy. The expulsion and the swallowing of the shocks with a variation of free-stream parameters are studied at both subsonic and supersonic conditions prescribed at the outlet. Hysteresis in the dependence of 2D flow on the free-stream velocity and angle-of-attack is documented. An influence of 3D effects on the flow is examined.
The Impact of Various Streetcar Types on Passenger Activity and Running Times

Transit agencies that operate streetcars use vehicles of varied sizes and characteristics to accommodate demand and service requirements. While some studies have been conducted on the influence of different bus types on service operations, there is limited research on streetcar types. Therefore, this paper examines the impacts of three different types of streetcar operating in the City of Toronto on passenger service time and running time using statistical models. Field data was collected in July 2017 for three types of streetcars serving the busiest corridor in Toronto. Descriptive statistics and two linear regression models were employed to compare their performance. The analysis results support the use of low-floor vehicles with wider doors as well as larger number of doors. Results also indicate a negative impact of the current stop design on the usage of longer streetcars. This study offers transit agencies new insights into the effects of distinct types of streetcars on door usage, passenger service time, and travel time, which are important components of transit service efficiency and attractiveness.
Structure prediction based on ab initio simulated annealing

The prediction of possible crystal structures, with the type of atoms as the only input, has become a fast growing field of research. The general approach consists of the global exploration of the energy landscape of the chemical system, with typical methods being simulated annealing or genetic algorithms. In the case of simulated annealing, combinations of model potentials and ab initio calculations for the energy evaluation are state of the art. Only very recently, the possibility of simulated annealing based on ab initio calculations at all stages of the calculations has become feasible. This article summarizes the recent developments in this area.
Analysis of local binary pattern using uniform bins as palm vein pattern descriptor

Palm vein authentication technology which reads the features of palm vein has been widely used in recent years as it offers high accuracy identification and difficult to be forged or impersonated. This paper demonstrates a palm vein recognition system using uniform Local Binary Pattern (LBP) through the Python language and R. Python language was used for contrast enhancement, noise reduction and LBP implementation while R was used for classifying palm vein pattern using K-Nearest Neighbour (KNN) classifier. The palm samples come from two datasets which are from the Chinese Academy of Sciences Institute of Automation (CASIA) and self-dataset. The outcomes were the extracted and classified palm vein pattern based on subjects and their accuracy based on each dataset. The accuracy for all uniform LBP bins and selected uniform LBP bins from self-dataset were 87% and 53% respectively; while for CASIA dataset were 60% and 27% respectively. The results show that the accuracy is higher if all uniform LBP bins are used for the recognition purpose.