Miracle-dz/UniFAR-FTUs huggingface dataset:
A Method of Dynamic Modeling of a Large Floating Crane and its External Excitations

According to the characteristics of floating cranes, an affordable numerical method to model the floating cranes and the external excitations such as wind, wave and shimmy loads was proposed. Local coordinates modifying wind, wave and shimmy loads which are determined separately were combined in the global coordinate system according to the geometric positions. The spectra of wind loads and wave loads were converted into time domain separately according to the linear method, while a shimmy load is determined according to the Lagrange’s Equation. As an example, the external excitation caused by random wind, wave and shimmy loads on a 7500-ton giant floating crane were simulated, and the transient dynamic response was predicted and discussed. Focusing on the characteristics of structure of floating cranes, the research indicates that the dominant frequency of the wave load is low, as compared to wind and shimmy loads, and that the shimmy load is closely related to the environmental excitations such as wind and wave loads. The results also suggest that the transient response of the crane is mainly related to the shimmy load.
Spatial Harmonic Magnetomotive Forces in Irregular Windings and Special Connections of Polyphase Windings

A general procedure for calculating the magnitudes of all the spatial harmonic magnetomotive-force (mmf) waves is developed. This method is applicable to any polyphase winding with uniform coils and slot pitches, which is excited by a balanced polyphase supply and in which any or all of the coils are energized, no matter how they are connected. The procedure was programmed for a digital computer and numerous illustrative examples were computed; these include: comparison of a 24-slot 6-pole irregular winding with a 27-slot fractional-slot winding, effects of transposition of phase coils between groups, part-winding starting with adjacent poles excited and with alternate groups excited, three double-delta starting arrangements, and a 2-speed motor with pole-amplitude modulation. Previously published studies on these connections confirm the accuracy of the analysis presented here.
Limitation of the Artificial Neural Networks Methodology for Predicting the Vertical Swelling Percentage of Expansive Clays

AbstractThe general swelling model has recently been updated in Israel by applying the Excel-solver command (ESC) analysis to new local test results from 897 undisturbed specimens. In this analysis, the goodness-of-fit statistics obtained classify the category of their associated regression only as fair. Thus, it seems necessary to explore the possibility of enhancing the outputs of this regression analysis by applying the artificial neural networks (ANN) methodology to the same 897 undisturbed specimens. However, it is shown that the use of the ANN outputs should be accompanied by an additional check to ensure that they follow the expected physical swelling behavior, as characterized by the index properties of the soil. The ANN methodology applied in this paper is similar to previous studies in geotechnical engineering. Different models were tested using the same database (i.e., the same 897 undisturbed specimens). The statistical fit of the ANN models were clearly found to be superior to the ESC models.
Stiffness of Magnetic Bearings Subjected to Combined Static and Dynamic Loads

This paper investigates the stiffness of a magnetic bearing that is subjected to the combined action of static and dynamic loads. Since their sum cannot exceed the saturation load, a large static load will imply that the bearing can carry only a small dynamic load. This smaller dynamic load together with the practical vibration amplitude define a practical upper bound to the dynamic stiffness. This paper also presents approximate design formulas and curves for this stiffness capacity as a function of the ratio of dynamic and static loads. In addition, it indicates that vibrations larger than a certain gap fraction can destabilize the magnetic bearing. This gap fraction, called the critical gap fraction, depends on the dynamic and static load ratio. For example, if the dynamic load is half of the static load, the use of more than 25 percent of gap can destabilize the bearing.
J-PLUS: 2-D analysis of the stellar population in NGC 5473 and NGC 5485

Context. The spatial variations of stellar population properties within a galaxy are intimately related to their formation process. Therefore, spatially resolved studies of galaxies are essential to uncover their formation and assembly. Although the arrival of integral field unit (IFU) surveys has brought a significant breakthrough in the field, recent techniques that combine photometric multi-filter surveys with spectral fitting diagnostics have opened a new way to disentangle the stellar population of spatially-resolved galaxies with a relatively low-cost compared to IFU surveys. Aims. The Javalambre Photometric Local Universe Survey (J-PLUS) is a dedicated multi-filter designed to observed ∼ 8500 deg2 of the Northern sky using twelve narrow-, intermediateand broad-band filters in the optical range. In this study, we test the potential of the multi-filter observation carried out with J-PLUS to investigate the properties of spatially-resolved nearby galaxies. Methods. We present detailed 2D maps of stellar population properties (age, metallicity, extinction, and stellar mass surface density) for two early-type galaxies observed in both, J-PLUS and CALIFA surveys: NGC 5473 and NGC 5485. Radial structures are also compared and luminosityand mass-weighted profiles are derived. We use MUFFIT to process the J-PLUS photometric multi-filter observations, and two different techniques (STARLIGHT and STECKMAP) to analyze IFU CALIFA data. Results. We demonstrate that this novel technique delivers radial stellar population gradients in good agreement with the IFU technique CALIFA/STECKMAP although comparison of the absolute values reveals the existence of intrinsic systematic differences. Radial stellar population gradients differ when CALIFA/STARLIGHT methodology is used. Age and metallicity radial profiles derived from J-PLUS/MUFFIT are very similar when luminosityor mass-weighted properties are used, suggesting that the contribution of a younger component is small and the star formation history of these early-type galaxies are well represented by mainly an old SSP
Physically based 2D compact model for power bipolar devices

The two‐dimensional (2D) physical compact model for advanced power bipolar devices such as injection enhanced gate transistor (IEGT) or Trench IGBT is presented in this paper. In order to model the complex 2D nature of these devices the ambipolar diffusion equation has been solved simultaneously for different boundary conditions associated with different areas of the device. The IEGT compact model has been incorporated into the SABER simulator and tested in standard double‐pulse switching test circuit. The compact model has been established to model a 4500V‐1500A flat pack TOSHIBA IEGT. Copyright © 2004 John Wiley & Sons, Ltd.
Is a costly river restoration project beneficial to the public? Empirical evidence from the Republic of Korea

AbstractPublic water supply service is to provide certain guaranteed level of quantity and quality in any given circumstances. In this regard, public water supply service treated as public goods that either central or state authority governs for good intentions. Growing concerns about water scarcity in national level due to its vulnerability on climate change lead public to suppress economic burden. In fact, Korean government has had a similar concern bringing to construct 16 weirs in the four major rivers. This construction was launched under the name of green growth mega project in 2008 and consumed almost 17 billion dollars up to today for improving water quality and quantity. In this research, six different models were applied to calculate willingness to pay (WTP) for the future water scarcity. If we allow that the mega project lasts for 30 years without any maintenance, the maximum WTP becomes approximately 320 million dollars in 3% discount rate. In addition, if we assume that the Korean economic gr.
Compact class AB CMOS current mirror

A novel class AB current mirror is presented. The circuit combines high current-handling capability with high accuracy, very low input resistance, low supply voltage requirements, and low standby power consumption. Measurement results of the circuit, fabricated in a 0.5 mum CMOS technology, show a THD of -60 dB for input current amplitudes 20 times larger than the bias current and a quiescent power consumption of 165 muW.
Score Model Based on Forward-Reverse Databases for Phosphopeptides Identification

Identification of phosphorylated peptides takes into account factors relevant in matching, building models, and score algorithms. In the paper we make a detailed comparative analysis among various phosphorylation identification methods, and study current mainstream algorithms in database searching and identification, and compares various aspects and methods of algorithms in site assessment. Based on the theory of forward-reverse databases searching, It is proposed a new score model to ensure the quality of identification. Our result shows that PTM and Mascot score models were strongly correlated and complementated in their differentiation abilities. Therefore, PTM and Mascot score models can be combined to filter peptide.
A Wall Climbing Robot Based on the Improved Electro Adhesion Technology

Electro adhesion is a novel adhesion technology, offering a new method for the designing of adhesion type of climbing robot. In this paper, an improved electro adhesion technology is put forward, using ERG (Electro Rheological Gel) as the insulating layer of electrode array. Experiments show that the adhesion force is enhanced by using ERG and the electrode array has self-cleaning function to some extent. Finally, a climbing robot was developed and it can climb kinds of walls (such as wood, glass and concrete), which proves the effectiveness of the improved electro adhesion technology.
Fuzzy neural network sliding-mode position controller for induction servo motor drive

A sliding-mode controller with an integral-operation switching surface is adopted to control the position of an induction servomotor drive. Moreover, to relax the requirement for the bound of uncertainties, a fuzzy neural network (FNN) sliding-mode controller is investigated, in which the FNN is utilised to estimate the bound of uncertainties in real-time. The theoretical analyses for the proposed FNN sliding-mode controller are described in detail. In addition, to guarantee the convergence of tracking error, analytical methods based on a discrete-type Lyapunov function are proposed to determine the varied learning rates of the FNN. Simulation and experimental results show that the proposed FNN sliding-mode controller provides high-performance dynamic characteristics and is robust with regard to plant parameter variations and external load disturbance. Furthermore, compared with the sliding-mode controller, smaller control effort results, and the chattering phenomenon is much reduced by the proposed FNN sliding-mode controller.
A Deep Model for Meaning-aware Word Embedding

— The context plays an important role in meaning construction and representation. Indeed, words are interpreted differently based on their contexts. Deep neural network have recorded recently a great success in representing the words’ meaning into one vector. Some researchers address the issue of different meaning of a word by constructing different vectors. However, the first category assumes a single state for each word while the second requires either meaning inventories or a preprocessing step to cluster contexts for each word. The latter ignores complicated correlations among words as well as their contexts. In this paper, we investigate another direction consists of representing the word meaning by an evolved vector over its set of context. To this end, we introduce a novel deep model that consists of using auto-encoders recursively based on left/right context around a target word. We evaluate our model on the semantic similarity task. Experimental results demonstrate that our deep model outperforms several competitive models that represent word meaning either with single vector or multiple vectors.
Experimental Demonstration of H∞ Control based Active Vibration Suppression in Composite Fin-tip of Aircraft using Optimally Placed Piezoelectric Patch Actuators

The goal of this study is the multi-mode structural vibration control in the composite fin-tip of an aircraft. Structural model of the composite fin-tip with surface bonded piezoelectric actuators is developed using the finite element method. The finite element model is updated experimentally to reflect the natural frequencies and mode shapes accurately. A model order reduction technique is employed for reducing the finite element structural matrices before developing the controller. Particle swarm based evolutionary optimization technique is used for optimal placement of piezoelectric patch actuators and accelerometer sensors to suppress vibration. H∞ based active vibration controllers are designed directly in the discrete domain and implemented using dSpace® (DS-1005) electronic signal processing boards. Significant vibration suppression in the multiple bending modes of interest is experimentally demonstrated for sinusoidal and band limited white noise forcing functions.
Fabrication of Planar Microtoroid Cavities Using High-Power Laser

Planar Microtoroid cavities have important application in many researching and application domains due to their ultrahigh quality factor (Q). But the special toroid structure can not be fabricated through traditional technology. In this paper, a novel processing method for fabricating microtoroid cavities using high-power CO2 laser after a series of traditional processing steps is introduced. The processing details are discussed including light path, focusing system and other important parameters. Test using scanning electronic microscope and laser-Raman spectrum shows that fabrication of planar microtoroid cavity using CO2 laser is feasible. The final microtoroid cavity is fabricated with slight impact to the silicon strut-beam, ensuring excellent optical performance in Planar Microtoroid cavity.
Delicate memory structure of origami switches

Théo Jules ,∗ Austin Reid , Karen E. Daniels , Muhittin Mungan , and Frédéric Lechenault Université de Lyon, Ecole Normale Supérieure de Lyon, Université Claude Bernard, CNRS, Laboratoire de Physique, F-69342 Lyon, France Laboratoire de Physique de l’École Normale Supérieure, ENS, PSL Research University, CNRS, Sorbonne University, Université Paris Diderot, Sorbonne Paris Cité, 75005 Paris, France 3 Raymond and Beverly Sackler School of Physics and Astronomy, Tel Aviv University, Ramat Aviv, Tel Aviv, 69978, Israel Center for Exploration of Energy and Matter, Indiana University Department of Physics, North Carolina State University and Institut für angewandte Mathematik, Universität Bonn, Endenicher Allee 60, 53115 Bonn, Germany (Dated: November 5, 2021)
Exact locating of sub-surface microelectronic structures using scanning thermal-wave microscopy

With the fast advance of ultra large scale integrated (ULSI) circuit technology, the need for sub-surface imaging technique to locate and characterize sub-surface defects in ULSI circuits has been growing. In this study we advance scanning thermal wave microscopy further so that the absolute phase lag of the thermal waves generated by an electrically heated sub-surface microelectronic structure buried in an ULSI circuit can be measured. The measurement of the absolute phase lag allowed exact locating of the vertical and horizontal position of buried microelectronic structures and evaluation of their soundness nondestructively.
YourAdvalue: Measuring Advertising Price Dynamics without Bankrupting User Privacy

The Real Time Bidding (RTB) protocol is by now more than a decade old. During this time, a handful of measurement papers have looked at bidding strategies, personal information flow, and cost of display advertising through RTB. In this paper, we present YourAdvalue, a privacy-preserving tool for displaying to end-users in a simple and intuitive manner their advertising value as seen through RTB. Using YourAdvalue, we measure desktop RTB prices in the wild, and compare them with desktop and mobile RTB prices reported by past work. We present how it estimates ad prices that are encrypted, and how it preserves user privacy while reporting results back to a data-server for analysis. We deployed our system, disseminated its browser extension, and collected data from 200 users, including 12000 ad impressions over 11 months. By analyzing this dataset, we show that desktop RTB prices have grown 4.6x over desktop RTB prices measured in 2013, and 3.8x over mobile RTB prices measured in 2015. We also study how user demographics associate with the intensity of RTB ecosystem tracking, leading to higher ad prices. We find that exchanging data between advertisers and/or data brokers through cookie-synchronization increases the median value of display ads by 19%. We also find that female and younger users are more targeted, suffering more tracking (via cookie synchronization) than male or elder users. As a result of this targeting in our dataset, the advertising value (i) of women is 2.4x higher than that of men, (ii) of 25-34 year-olds is 2.5x higher than that of 35-44 year-olds, (iii) is most expensive on weekends and early mornings.
Validation and evaluation of damage identification using probability-based diagnostic imaging on a stiffened composite panel

Probability-based diagnostic imaging, as one of the damage identification methods using ultrasonic guided waves, has been attracting increasing attention by researchers in the community of structural health monitoring. However, the probability-based diagnostic imaging algorithm’s influencing parameters, including the selection of certain damage index and frequency, the network of sensing paths, and the size of the effective elliptical distribution area, are empirically determined. This experience dependency limits the application of the method to identify damages in real-world practices. Therefore, it is important to clarify the influences of the above-mentioned various factors on the damage identification. However, the complexity of these factors makes it almost impossible to interpret the influencing mechanisms directly. Thus, a fusion image approach of multiple frequencies is employed to eliminate the influence of different frequencies, while a histogram-based method is proposed to evaluate the reliability of the fusion result. Meanwhile, a unit weight distribution function, considering both the network of sensing paths and the size of the effective elliptical distribution area, is presented in the analysis. Then, the influencing mechanisms are studied and discussed in detail, and a methodology is proposed to optimize the network and the scaling parameter which controls the affected zone.
Rotor health monitoring combining spin tests and data-driven anomaly detection methods

Health monitoring is highly dependent on sensor systems that are capable of performing in various engine environmental conditions and able to transmit a signal upon a predetermined crack length, while acting in a neutral form upon the overall performance of the engine system. Efforts are under way at NASA Glenn Research Center through support of the Intelligent Vehicle Health Management Project (IVHM) to develop and implement such sensor technology for a wide variety of applications. These efforts are focused on developing high temperature, wireless, low cost, and durable products. In an effort to address technical issues concerning health monitoring, this article considers data collected from an experimental study using high frequency capacitive sensor technology to capture blade tip clearance and tip timing measurements in a rotating turbine engine-like-disk to detect the disk faults and assess its structural integrity. The experimental results composed at a range of rotational speeds from tests conducted at the NASA Glenn Research Center’s Rotordynamics Laboratory are evaluated and integrated into multiple data-driven anomaly detection techniques to identify faults and anomalies in the disk. In summary, this study presents a select evaluation of online health monitoring of a rotating disk using high caliber capacitive sensors and demonstrates the capability of the in-house spin system.
Implementation of PFC (Predictive Functional Control) in a PLC (Programmable Logic Controller) for a HVAC (Heating, Ventilation and Air Conditioning) system

HVAC systems of industrial buildings consume a lot of energy. Therefore it is important to know the performance of these systems and strategies to optimize the hardware and the control. Tackling the temperature control of the HVAC system promises quick savings by tuning the control within specified tolerance limits, which mostly can be done by low investment. This paper mainly deals with the implementation strategy of a new controller in a PLC using the predictive functional control for temperature control. The different stages of the implementation from the simulation over the SCL code till to the real-time operation are presented. A bumpless switch between the PI(D) and the PFC control was realized, as well.
An Automatic Fringe Analysis Interferometer for Rapid Moire Stress Analysis

In optical methods of stress analysis, the reduction of raw data to engineering quantities has proved to be a difficult problem. A portable instrument has been developed which interrogates a specimen grid point-wise using a narrow beam of coherent light, and electro-optically measures interference-fringe-spacing, in three directions simultaneously. A microprocessor is incorporated to convert the strain component values to convenient quantities such as principal stress and shear, and these are displayed. The read-rate is adjustable up to 5 kHz, the discrimination level is 4 µε, and a facility for temperature compensation is included. The logic behind the design of the major features of the unit are described.
FIT@BR - a Future Internet Testbed in Brazil

A major objective of the Brazil-EU FIBRE project is the deployment in Brazil of FIT@BR, a wide-area network testbed to support user experimentation in the design and validation of new network architectures and applications. In such a testbed, a high degree of automated resource sharing between experimenters is required, and the testbed itself must be instrumented so that precise measurements and accounting of both user and facility resources may be carried out. In this article, we describe the design and implementation of the Control and Monitoring Framework (CMF) for the FIT@BR testbed, which is based on three CMFs developed in existing testbed projects. In order to take best advantage of different testbed functionalities at different sites, FIT@BR is being created as a federated testbed, which will facilitate future interoperation with international initiatives.