Miracle-dz/UniFAR-FTUs huggingface dataset:
Preliminary investigations on non-linear fluid-structure interaction of an offshore structure

Abstract Fluid-structure interaction (FSI) of offshore structures is an important area of research. It is also of significant industrial value, where such capabilities could be used for simulating the structural response in numerical wave tanks. The current research focuses on the development of a numerical wave tank with FSI capabilities. This requires solving the non-linear fluid and structure behaviour in the time domain considering a non-linear velocity potential formulation for the wave flow and a linear elastic formulation for the structure. The fluid and structural behaviour are coupled in time through a mixed Lagrangian-Eulerian procedure and the differential equations are discretized using the finite element method. Unstructured triangular meshes are used to discretize the fluid and structural domain, augmented by mesh smoothing algorithms. Based on the studie, it is shown that the transient force developed by the fluid on the structure varies due to the elastic nature of the structure. The perturbations in the free-surface profile due to the structural response are also captured. It is also shown that transient non-linear studies are important as they can help in identifying critical design limitations of traditional guides. It is thus demonstrated that the present work is capable of solving such FSI problems in order to obtain a reliable and complete analysis leading to a better understanding and safer design of compliant structures. The effect on the structure due to prolonged interaction with the fluid needs to be further studied for a better understanding.
A micromachined thin-film Teflon electret microphone

This paper reports the fabrication and characterization of the first micromachined one-micron-thick thin-film Teflon electret condenser microphone. The microphone uses a new MEMS-compatible thin-film Teflon electret technology, first reported at Hilton Head (1996). The millimeter-scale electret microphone has very low stray capacitance, is self-biasing, mass producible, arrayable, integrable with on-chip electronics, structurally simple and extremely stable over time in the ordinary environment. The dynamic range is from 60 to above 110 dB SPL (re. 20 /spl mu/Pa) and the sensitivity is on the order of 0.2 mV/Pa over the frequency range 100 Hz-10 kHz.
DeepMM: Deep Learning Based Map Matching with Data Augmentation

Map matching is important in many trajectory based applications like route optimization and traffic schedule, etc. As the widely used methods, Hidden Markov Model and its variants are well studied to provide accurate and efficient map matching service. However, HMM based methods fail to utilize the value of enormous trajectory big data, which are useful for the map matching task. Furthermore, with many following-up works, they are still easily influenced by the noisy records, which are very common in the real system. To solve these problems, we revisit the map matching task from the data perspective, and propose to utilize the great power of data to help solve these problems. We build a deep learning based model to utilize all the trajectory data for joint training and knowledge sharing. With the help of embedding techniques and sequence learning model with attention enhancement, our system does the map matching in the latent space, which is tolerant to the noise in the physical space. Extensive experiments demonstrate that our model outperforms the widely used HMM based methods more than 10% (absolute accuracy) and works robustly in the noisy settings in the meantime.
Comfort improvement by passive and semi-active hydropneumatic suspension using global optimization technique

The arising health problems of operators of off-road vehicles point out that still a lot of effort has to be put into the design of effective seat and cabin suspensions. The comfort problem originates form the vibrations transmitted to the driver caused by the unevenness of the road or soil profile. The paper develops a method for optimizing suspension systems using the global optimization technique DIRECT. Evaluation of the comfort improvement of the suspensions is done using the objective comfort parameters used by the norms. The design procedure is tested on a hydropneumatic suspension that can serve as a cabin suspension for off-road machinery. The evaluation shows that the vibration levels can be reduced by 90%, resulting in a drastic comfort improvement.
Modeling and simulation of the second feedback loop for fiber optic gyroscope

Current research on modeling of fiber optic gyroscope (FOG) is mainly concentrate on single digital closed loop FOG under square-wave modulation and demodulation. Little work has been done in modeling and simulation of the second feedback loop of FOG under four-state modulation and demodulation. However, the second feedback loop is very important in improving FOG performance. In order to improve the accuracy and stability more efficient, it’s essential to modeling and does simulation of the second feedback loop for fiber optic gyroscope especially in the field of high precision application. There are three major contributions in this paper. Firstly, the physical model of digital closed loop fiber optic gyroscope is built and the scale factor error of FOG due to gain error is derived in theory. The gain error including half-wave voltage change and driver circuit gain change are mainly caused by temperature fluctuation in practical environment. To solve this problem, the second feedback loop based on four-state modulation and demodulation method is provided, and the control model of this method is then set up theoretically by means of transfer function. In the end, simulation of the second feedback loop of FOG is performed by Labview to demonstrate the efficiency of this method. According to our theoretical analysis of the control model and the simulation result, this method can track and compensate the variation of driver circuit gain and half-wave voltage in real-time. Therefore, the nonlinear error of FOG scale factor is reduced by the control of the second feedback loop, which leads to improvement of FOG accuracy.
An Evaluation of Some Methods of Determining Storage Yield Relationships for Impounding Reservoirs

Twelve methods of storage yield estimation available in the hydrological literature are identified. Eight of these are then selected for use in a comparative study where the objective is to select those methods with least bias and standard error. A time-series model is used to generate a population of 3000 years of synthetic flow data for one set of Irish conditions. The true population storage volume for each level of yield and return period is obtained by counting, and the storage estimates obtained using the eight selected methods are compared with the population volume on the basis of bias and standard error. The Modified Gould and Behaviour Analysis Methods were found to have least bias and the lowest standard error. These methods are therefore recommended for use, in conjunction with simulation methods of investigating storage requirements, for Irish and similar climatic conditions.
Vibration Analysis on the Rotating Machinery

The paper presents vibration analysis on the boiler feed water pump in thermal power plants. In the Tokyo Electric Power Company (TEPCO), mechanical vibration diagnosis of rotating machinery has been carried out, and got good results. However, in some cases, abnormal condition of machine at an initial stage couldn’t specify, or a machine’s life didn’t predict, because of diagnosing only by tendency of vibration severity. Mechanical vibration diagnoses are typical diagnosing method on the operating condition of the rotating machines, which are well known as one of the Condition Based Maintenance (CBM). It has already been established theoretically, however the actual activities of the vibration diagnosis are required special experiences, especially for the prediction of abnormal condition of rotating machine such as imbalance, and misalignment, and also prediction of bearing failures, etc., These diagnostics have been used for about 30 years in various fields of industries. Therefore, both of the condition survey such as tendency management of vibration severity and condition analysis such as frequency analysis and wave analysis, by using vibrometers, are applied for several power plants of the TEPCO.Copyright © 2005 by ASME
Novel phase shift line in feedforward circuit using photonic bandgap

In this paper, a phase shifter with a shifting photonic bandgap (PBG) cell is designed and fabricated in the main loop of a linear feedforward circuit. A portion of the PBG cell is designed for phase shift in the tuning phase. The shifting PBG cell has been applied in the feedforward main loop in order to cancel the main two‐tone signals. The complete cancellation of the main signal is obtained in the main signal loop of a linear power amplifier. © 2003 Wiley Periodicals, Inc. Microwave Opt Technol Lett 38: 357–359, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.11059
Design of MIMO antenna positions for mobile handset when considering nondeterministic channels

The topic of practical implementation of multiple input multiple output (MIMO) systems for mobile communications has recently gained a lot of attention.Due to the area constraint on a mobile handset, the problem of how to design such a system in order to achieve the best benefit is still a huge challenge. Most researches in this area concern the algorithms to configure the best layout of multiple antennas while assume the wireless channel as the deterministic model. However, mobile users might roam from one channel condition to the others, which the benefit of deterministic antenna positions does no longer exist. In this article, the concern of channel variation has been included in the process of finding MIMO antenna positions. A genetic algorithm (GA) is employed to find the optimal antenna positions on mobile handset for 4 × 4 MIMO systems. The effects of mutual coupling based on Z‐parameter is the main factor to determine the MIMO capacity concerning as the objective function of GA search. The results suggest that the use of average positions among solutions obtained by various channels provide the most compromising benefits to practically design MIMO antenna positions on mobile handset. © 2011 Wiley Periodicals, Inc. Microwave Opt Technol Lett 53:2737–2742, 2011; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.26402
A novel miniaturized PCR multi-reactor array fabricated using flip-chip bonding techniques

This paper describes a novel miniaturized multi-chamber array capable of high throughput polymerase chain reaction (PCR). The structure of the proposed device is verified by using finite element analysis (FEA) to optimize the thermal performance, and then implemented on a glass–silicon substrate using a standard MEMS process and post-processing. Thermal analysis simulation and verification of each reactor cell is equipped with integrated Pt temperature sensors and heaters at the bottom of the reaction chamber for real-time accurate temperature sensing and control. The micro-chambers are thermally separated from each other, and can be controlled independently. The multi-chip array was packaged on a printed circuit board (PCB) substrate using a conductive polymer flip-chip bonding technique, which enables effective heat dissipation and suppresses thermal crosstalk between the chambers. The designed system has successfully demonstrated a temperature fluctuation of ±0.5 °C during thermal multiplexing of up to 2 × 2 chambers, a full speed of 30 min for 30 cycle PCR, as well as the capability of controlling each chamber digitally and independently.
International Diversification, Tax Avoidance, and Chaebol: Evidence from Korea

Purpose – Utilizing a large sample of Korean firms, this study examines international diversification impacts on corporate tax avoidance and whether firms affiliated with large business groups (known in Korean as “chaebol”) reinforce the relationship between international diversification and tax avoidance. Design/methodology – This paper hypothesizes that 1) international diversification is likely to increase tax avoidance, 2) the positive effect of international diversification on tax avoidance is likely to be more pronounced for chaebol firms. We examine the hypotheses by using Korean firms listed in the Korean stock market between 2011 and 2016. We employ the number of foreign subsidiaries and the entropy index as proxies for international diversification and CASH ETR and GAAP ETR as proxies for tax avoidance. Findings – Our findings are summarized as follows. First, we have found that as firms are more internationally diversified, tax avoidance increases. It means that international diversification can be employed as a method of reducing the tax burden. Second, firms affiliated with chaebol are strengthened by the positive relation between international diversification and tax avoidance. It is interpreted that chaebol firms have more effective opportunities to reduce taxes than other firms. When entering foreign markets, they can share experience and resources to decrease taxation within the large business group. Originality/value – This study provides empirical evidence regarding the tax effect of international diversification. Unlike prior studies, international diversification is positively related to tax avoidance in Korea. In addition, we present additional evidence on the chaebol effects of international diversification on tax avoidance, in which they have an advantage to reduce taxes using transfer pricing through related party transactions, income shifting to low tax rate countries, and establishing subsidiaries in tax havens.
Real-time monitoring of ubiquitous wireless ECG sensor node for medical care using ZigBee

Sensor networks have the potential to impact many aspects of medical care greatly. By outfitting patients with wireless, wearable vital sign sensors, collecting detailed real-time data on physiological status can be greatly simplified. In this article, we propose the system architecture for smart sensor platform based on advanced wireless sensor networks. An emerging application for wireless sensor networks involves their use in medical care. In hospitals or clinics, outfitting every patient with tiny, wearable wireless vital sign sensors would allow doctors, nurses and other caregivers to continuously monitor the status of their patients. In an emergency or disaster scenario, the same technology would enable medics to more effectively care for a large number of casualties. First responders could receive immediate notifications on any changes in patient status, such as respiratory failure or cardiac arrest. Wireless sensor network is a set of small, autonomous devices, working together to solve different problems. It is a relatively new technology, experiencing true expansion in the past decade. People have realised that integration of small and cheap microcontrollers with sensors can result in the production of extremely useful devices, which can be used as an integral part of the sensor nets. These devices are called sensor nodes. Today, sensor nets are used in agriculture, ecology and tourism, but medicine is the area where they certainly meet the greatest potential. This article presents a medical smart sensor node platform. This article proposes a wireless two-lead EKG. These devices collect heart rate and EKG data and relay it over a short-range (300 m) wireless network to any number of receiving devices, including PDAs, laptops or ambulance-based terminals.
7.1.2 Concept Selection ‐ Applying Pugh Matrices in the Subsea Processing Domain

This paper discusses the application of Pugh matrices in concept selections within the subsea processing department of FMC Technologies. The focus is not the concepts themselves or requirements management, but on applying Pugh matrices in conceptual system studies. Previous research by Master students in the oil & gas industry shows resistance amongst engineers and managers towards using Pugh matrices. The application of the Pugh matrix in these studies showed that if applied on the correct level of detail as part of the concept selection process, it is a powerful tool. It forces reasoning to be based on explicit criteria and also serves the purpose of documenting the decision making. This level of documentation and definition/selection of criteria goes beyond the normal practice today. The study teams gained a broader and deeper understanding of the design problems in addition to securing the quality of the concept selection process. The involved engineers readily adopted the Pugh matrix and they intend to continue using it, mainly due to its ability to force structural thinking in complex systems.
Field monitoring of a bridge using digital image correlation

In order to provide quantitative data to supplement visual inspections and numerical modelling as part of the overall bridge assessment process, inexpensive sensor technologies that provide useful and accurate data are required. Digital image correlation (DIC) is a measurement technique that can be used to provide displacement, crack width and strain data from the same set of digital images. This paper outlines a field application using DIC to measure static displacements at varying load levels and dynamic displacements at varying vehicle speeds of a reinforced concrete bridge. The DIC displacement measurements provided by two different camera systems are shown to be in good agreement with the results from a conventional displacement transducer for both the static and the dynamic tests. The results of the static tests with varying load levels are then used to illustrate how the bridge response can be evaluated by examining the load deflection behaviour, which remained in the linear elastic range throughou.
Training Multi-Layer Perceptrons with the Unscented Kalman Particle Filter

Many Bayesian learning approaches to multi-layer perceptrons (MLPs) parameters optimization have been proposed such as the extended Kalman filter (EKF). In this paper, a sequential approach is applied to train the MLPs. Based on the particle filter, the approach named unscented Kalman particle filter (UPF) uses the unscented Kalman filter as proposal distribution to generate the importance sampling density. The UPF are devised to deal with the high dimensional parameter space that is inherent to neural network models. Simulation results show that the new algorithm performs better than traditional optimization methods such as the extended Kalman filter.
Progress of HT-7U superconducting tokamak

The HT-7U is a superconducting tokamak, which is constructing in Institute of Plasma Physics, Chinese Academy of Sciences (ASIPP). The mission of the HT-7U project is to develop scientific and engineering issues on the steady state operation of advanced tokamak. The engineering design of the device is optimized. The R&D program is going on. Short samples of conductor and a central solenoid (CS) model coil were tested. All of the toroidal field (TF) and poloidal field (PF) coils will be manufactured and tested in Institute of Plasma Physics. Therefore, a 600 meters long length jacketing line for cable-in-conduit conductors, two winding machines, a set of vacuum pressure impregnation (VPI) equipment and a test facility for the TF and PF coils are ready in ASIPP now. In this paper, the recent progress of the HT-7U is described.
AN OBJECT-ORIENTED CFD CODE FOR OPTIMIZATION OF HIGH PRESSURE RATIO COMPRESSORS

The flow fields and performances of different transonic radial compressors of varying geometries and conceptual desi gns have been studied numerically. All the simulations were per formed with a modified in-house 3D RANS solver based on an object-oriented open-source library. The solver uses an Al lMach algorithm with a special treatment for the pressure cor rector equation to deal with highly compressible flows. The 3 D flow field structures, the characteristics and integral quantities have been compared to the results of established, state-of- the-art commercial solvers as well as to measurements whenever poss ible. This paper demonstrates for various configurations tha t the main flow features and the flow characteristics have been captured by the new solver. Furthermore, the new solver is also c apable of computing the delta variations of similar designs.This is an essential step for the broad application of the new solv er for optimization design cycles.
Normally-off GaN Transistors for Power Applications

Normally-off high voltage GaN-HFETs for switching applications are presented. Normally-off operation with threshold voltages of 1 V and more and with 5 V gate swing has been obtained by using p-type GaN as gate. Different GaN-based buffer types using doping and backside potential barriers have been used to obtain blocking strengths up to 1000 V. The increase of the dynamic on-state resistance is analyzed for the different buffer types. The best trade-off between low dispersion and high blocking strength was obtained for a modified carbon-doped GaN-buffer that showed a 2.6x increase of the dynamic on-state resistance for 500 V switching as compared to switching from 20 V off-state drain bias. Device operation up to 200 °C ambient temperature without any threshold voltage shift is demonstrated.
A New Reduced-Reference Image Quality Assessment Method Based on SSIM

Because human visual perception is highly adapted for extracting structural information from a scene, but the existing SSIM index is a full reference method which needs entire information of reference images. In this paper, we develop a reduced reference SSIM method and evaluate its performance through a set of assessment criteria, as well as comparison to both EPSNR and SSIM methods on a database of images compressed with JPEG and JPEG2000.
Aspects Concerning the Possibility to Measure the Radial Deflection of a Work Piece Obtained into a Turning Process

In the technical literature there are some studies which use measured signals in order to compensate the errors caused by vibrations [1, 2], by the cutting force [3], by the deflections of the technological system [4], and others. Also, the technical literature presents some studies [6, which give few measurement techniques in order to measure the error which appears into the turning process and also, some methods to compensate or eliminate the consequences produced by those errors. In such conditions, this study propose to establish a possible methodology that can make the measurement of the radial deviation which corresponds to a work piece obtained into a turning process. The novelty of this study comes from the method of measurement used and from the measurement stand which provide the values of the radial deflection for the processed work piece, during the process. The experimental procedure assumes the existence of an experimental stand which allows to measure the distance between a sensor and the considered work piece. In such conditions, the mathematical algorithms used will transform the received electrical signal into a physical displacement. The obtained results suggest that the signal provided by the experimental stand and which it is used for measure the distance between a sensor and the considered work piece, allows to establish, with accuracy, the values for the radial deviations of the work piece. Also, this fact can offer a graphical representation of the shape which corresponds to the real profile of the processed work piece.