Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of Visual Feedback on 3-Dimensional Forces in a Drop Jump Landing

Objective: To compare the mediolateral, anteroposterior and vertical ground reaction forces (GRF) of a drop jump landing (DJL) with eyes open and eyes closed conditions to analyze the effects of visual input on the body’s ability to modulate motion. Methods: An experimental crossover research design was used for this study. Twenty-four subjects were recruited to participate containing male and female subjects. All subjects performed a DJL from a height of 24-inches onto a force plate below for a total of 6 alternating attempts of 3 eyes closed and 3 eyes open. Maximal GRF were analyzed for each condition in the anteroposterior, vertical and mediolateral directions and averaged for each participant. Results: There was a statistical significance of the GRF analyzed when comparing the eyes closed with the eyes open drop jump landing in the vertical and mediolateral direction. The GRF in these directions were shown to decrease during a DJL with the eyes open condition. There was no statistical significance found in the GRF within the anteroposterior direction. Conclusion: The results indicate that the absence of visual input had a significant effect on the GRF in the vertical and mediolateral directions indicating greater visual input is necessary to decrease the GRF imposed on the human body during a DJL. Although the anteroposterior direction GRF tended to increase during the eyes closed attempts of the DJL, the difference was determined to lack statistical significance. Future research is encouraged to study the effects on static or dynamic neuromuscular training with eyes closed to see if improvements will decrease VGRF.
PERFORMANCE AND EFFECTIVENESS OF SECURE ROUTING PROTOCOLS IN MANET

Mobile adhoc network (MANET) is a temporary network setup for a specific purpose without help of any preexisting infrastructure. The nodes in MANET are empowered to exchange packet using a radio channel. The nodes not in direct reach of each other uses their intermediate nodes to forward packets. (MANET) environment of MANET makes it vulnerable to various network attacks. A common type of attacks targets at the underlying routing protocols. Malicious nodes have opportunities to modify or discard routing information or advertise fake routes to attract user data to go through themselves. Some new routing protocols have been proposed to address the issue of securing routing information. However, a secure routing protocol cannot singlehandedly guarantee the secure operation of the network in every situation. The objectives of the paper is to study the performance and effectiveness of some secure routing protocols in these simulated malicious scenarios, including ARIADNE and the Secure Ad hoc On-demand Distance Vector routing protocol
Contextual Analysis for the Representation of Words

Building the representation of word meanings is one of the key challenges in many language-based applications from document understanding, text summarization to sentiment analysis. One of the reasons to make this task harder is that word meanings involve not only the word surfaces in contexts, but the human experiences in specific domains. Previous work in the field considers these issues separately by analysing text contents in one hand and dealing with knowledge-based information on the other hand. In this work, we address this issue by accumulating contextual information of words and knowledge-based contents to construct the representation of words. We evaluate the effectiveness of the representation via the task of semantic similarity on standard benchmarks. The experimental results show the strong correlation between the proposed word representation to the perception of human in the task of semantic similarity measure.
A multiscale method for producing homogenized drag laws of a permeable medium by conflating experimental data with Lattice-Boltzmann simulations

Purpose The purpose of this paper is to obtain a permeability law of a gas flow through a permeable medium using particle image velocimetry experimental data as primal information, which is conflated with numerical calculations by means of a multi-scale method. Design/methodology/approach The D2Q9 single-relaxation-time Lattice Boltzmann model (LBM) implemented in GPU is used for the numerical calculations. In a first homogenized micro-scale, the drag forces are emulated by means of an effective Darcy law acting only in the close neighborhood of the solid structures. A second mesoscopic level of homogenization makes use of the effective drag forces resulting from the first-scale model. Findings The procedure is applied to an experiment consisting of a regular array of wires. For the first level of homogenization, an effective drag law of the individual elemental obstacles is produced by conflating particle image velocimetry measurements of the flow field around the wires and numerical calculations performed with a GPU implementation of the LBM. In the second homogenization, a Darcy–Forchheimer correlation is produced, which is used in a final homogenized LBM model. Research limitations/implications The numerical simulations at the first level of homogenization require a substantial amount of calculations, which in the present case were performed by means of the computational power of a GPU. Originality/value The homogenization procedure can be extended to other permeable structures. The micro-scale-level model retrieves the fluid-structure forces between the flow and the obstacles, which are difficult to obtain experimentally either from direct measurement or by indirect assessment from velocity measurements.
Time efficient radiation model for determination of plasma parameters in atmospheric plasmas

A simple and time efficient model for atmospheric arc plasmas is presented in this work. It uses experimentally recorded emission spectra in order to estimate radial temperature and electron density profiles in welding arc plasmas. The plasma parameters are calculated using the Elenbaas–Heller and Saha equations, together with welding current, gas composition and simplified cylindrical arc geometry with a particular radius as input parameters. From these parameters an emission spectrum is calculated under the assumption, that the individual lines are mainly broadened due to the Stark effect. Here only second order perturbation theory for the Stark effect without any further influences of ion collision or other additional effects is considered. The comparison of measured and calculated spectra leads to a cost function. Its minimisation is used to find the radius of the arc model. This model was successfully applied for the estimation of plasma parameters in gas tungsten arc welding processes with argon and argon–helium as shielding gases. The calculated gas temperature and electron density profiles were compared with experimental data obtained by Thomson scattering. Further extension of the model for dynamic processes containing metal vapours and its application in feedback control are planned in the future.
A Novel Frequent Pattern Mining Algorithm for Real-time Radar Data Stream

Received: 29 December 2018 Accepted: 22 January 2019 This paper attempts to improve the radar data quality and discover intrusion behaviors by mining frequent patterns of real-time data. For this purpose, the author improved the frequent pattern mining algorithm for static datasets, and proposed a maximum frequent pattern mining algorithm based on bitmap mapping. Next, a new frequent pattern mining algorithm was designed specifically for data stream with the storage structure of index pattern tree (IPT). The new algorithm was applied to process the real-time radar data stream. The application results demonstrate efficiency of our algorithm in time and space.
Adaptive decentralized tracking control of a class of large-scale nonlinear systems with unknown dead-zone inputs using neural network

In this paper, an adaptive decentralized control approach is proposed for a class of large-scale nonlinear systems with unknown dead-zone inputs using neural network. Firstly, the dead-zone outputs are firstly represented as simple linear systems with a static time-varying gain and bounded disturbance by introducing characteristic function. Secondly, in the controller design, neural networks are utilized to approximate the unknown nonlinear functions. Thirdly, an adaptive decentralized tracking control approach is constructed via backstepping design technique. It is shown that the proposed control approach can assure that all the signals of the closed-loop system semi-globally uniformly ultimately bounded and the tracking errors finally converge to a small domain around the origin. The proposed method can get precise tracking results with low computational cost, and have a good real-time performance and convergence. Finally, two examples are given to demonstrate the effectiveness of the proposed control scheme.
Tensorial Data Modeling and Analysis for Manufacturing Process Quality Control Using Sensor Data

xi . 1 CHAPTER 1: INTRODUCTION 1.1 Motivation . 1 1.2 Overview of Dissertation . 4 1.2. 1 Feature Extraction Using High-order Decomposition for Tool Wear Monitoring . 4 1.2. 2 Robust Generalized SVD with Correlated Noise and Outliers . 7 1.2. 3 Functional Linear Regression with Tensorial Predictor . 12 1.3 Outline of Dissertation . 14 CHAPTER 2: FEAUTURE EXTRACTION USING HIGH-ORDER DECOMPOSITION . 17 FOR TOOL WEAR MONITORING 2.
User Access Review and a UAR Supporting Tool for Improving Manual Access Review Process in Enterprise Environment

User Access Review is a process of re-evaluating the appropriateness of user access to systems or applications. It is a critical step of the user account management life cycle. Companies implement User Access Review processes to ensure that employees are given least privileges to access critical corporate IT systems, and segregation of duties (SoD) are enabled through effective access control to prevent fraud and error. User access review becomes mandatory for corporations that are in scope under federal regulations, industry standards, or compliances. With growing number of employees (users) and IT systems, the process of conducting user access review becomes increasingly complicated and time-consuming. Corporations often find it changeling to meet audit requirements with existing error prone manual review process and are searching for a better solution for delivering quality access review in a timely manner. A database based user access review tool (UAR Supporting Tool) is proposed in this thesis to improve the efficiency and accuracy of the manual review process.
Digital Predistortion of Millimeter-Wave RF Beamforming Arrays Using Low Number of Steering Angle-Dependent Coefficient Sets

This paper proposes a single-input single-output (SISO) digital predistortion (DPD) model for linearizing millimeter-wave (mm-wave) RF beamforming arrays. It starts with a dual-input power amplifier (PA) model that accounts for steering angle-dependent load modulation effects. This dual-input model is then transformed into a SISO model under the assumption of weak PA nonlinearity and RF beamforming architecture. The underlying coefficients of the SISO array model incorporate the beamforming weights, antenna cross-coupling, channel coefficients, and any possible phase-shifter gain variation with phase shift setting. An over-the-air (OTA) measurement setup is finally developed to validate the capacity of a SISO DPD model to linearize two different arrays-under-test with 4 and 64 elements and radiating mm-wave modulated signals with 320- and 800-MHz bandwidth. Although, in principle, the DPD coefficients should be retrained for each steering angle, experimental results have shown that the same set of coefficients can be used over a wide range of steering angles, and only a few sets of trained DPD coefficients are sufficient to minimize the distortion in a mm-wave RF beamforming array across a 120° steering range.
Comparison of atomic layer deposited Al2O3 and (Ta2O5)0.12(Al2O3)0.88 gate dielectrics on the characteristics of GaN-capped AlGaN/GaN metal-oxide-semiconductor high electron mobility transistors

The current research investigates the potential advantages of replacing Al2O3 with (Ta2O5)0.12(Al2O3)0.88 as a higher dielectric constant (κ) gate dielectric for GaN-based metal-oxide-semiconductor high electron mobility transistors (MOS-HEMTs). The electrical characteristics of GaN-capped AlGaN/GaN MOS-HEMT devices with (Ta2O5)0.12(Al2O3)0.88 as the gate dielectric are compared to devices with Al2O3 gate dielectric and devices without any gate dielectric (Schottky HEMTs). Compared to the Al2O3 MOS-HEMT, the (Ta2O5)0.12(Al2O3)0.88 MOS-HEMT achieves a larger capacitance and a smaller absolute threshold voltage, together with a higher two-dimensional electron gas carrier concentration. This results in a superior improvement of the output characteristics with respect to the Schottky HEMT, with higher maximum and saturation drain current values observed from DC current-voltage measurements. Gate transfer measurements also show a higher transconductance for the (Ta2O5)0.12(Al2O3)0.88 MOS-HEMT. Furthermore, from OFF-state measurements, the (Ta2O5)0.12(Al2O3)0.88 MOS-HEMT shows a larger reduction of the gate leakage current in comparison to the Al2O3 MOS-HEMT. These results demonstrate that the increase in κ of (Ta2O5)0.12(Al2O3)0.88 compared with Al2O3 leads to enhanced device performance when the ternary phase is used as a gate dielectric in the GaN-based MOS-HEMT.
A Sequence-Based Damage Identification Method for Composite Rotors by Applying the Kullback–Leibler Divergence, a Two-Sample Kolmogorov–Smirnov Test and a Statistical Hidden Markov Model

Composite structures undergo a gradual damage evolution from initial inter-fibre cracks to extended damage up to failure. However, most composites could remain in service despite the existence of damage. Prerequisite for a service extension is a reliable and component-specific damage identification. Therefore, a vibration-based damage identification method is presented that takes into consideration the gradual damage behaviour and the resulting changes of the structural dynamic behaviour of composite rotors. These changes are transformed into a sequence of distinct states and used as an input database for three diagnostic models, based on the Kullback–Leibler divergence, the two-sample Kolmogorov–Smirnov test and a statistical hidden Markov model. To identify the present damage state based on the damage-dependent modal properties, a sequence-based diagnostic system has been developed, which estimates the similarity between the present unclassified sequence and obtained sequences of damage-dependent vibration responses. The diagnostic performance evaluation delivers promising results for the further development of the proposed diagnostic method.
Sequence Data Indexing Method Exploiting the Parallel Processing Resources of GPGPU

In this paper, we propose a new sequence retrieval method that utilizes the parallel processing power of General-Purpose Computation on Graphics Processing Unit (GPGPU). GPGPU has high parallel computing power, due to its characteristic (SIMD) we need to carefully design a method to attain the parallel computing power. Existing CPU based sequence retrieval method does not consider the feature of GPGPU, so even though it is running based on GPGPU it is not able to fully use the parallelism of GPGPU. In this paper, we propose a sequence retrieval method with considering the features of GPGPU, and implement our proposed method, existing method and some variants of the proposed method. Finally, we compare them through experiments with real data.
Analytical study of ground responses induced by the excavation of quasirectangular tunnels at shallow depths

The construction of quasirectangular tunnels at shallow depths is becoming increasingly common in urban areas to efficiently utilize underground space and reduce the need for backfilling. To clarify the mechanical mechanism of the stresses and displacements around the tunnels, this study proposes analytical solutions that precisely account for quasirectangular tunnel shapes, the ground surface, the tunnel depth, and the ground's elastic/viscoelastic properties. The Schwarz alternating method combined with complex variable theory is employed to derive the elastic solution, and convergent and highly accurate solutions are obtained by superposing the solutions in the alternating iterations. Based on the solution and the extended corresponding principle for the viscoelastic problem, the time‐dependent analytical solutions for the displacement are obtained for the ground assuming any viscoelastic model. The analytical solutions agree well with the finite element method (FEM) numerical results for models that are completely consistent, and qualitatively agree with field data. Furthermore, based on the stress solution combined with the Mohr‐Coulomb failure criterion, the predicted initial plastic zone and propagation directions around the tunnels are qualitatively consistent with those determined by the limit analysis. A parametric study is performed to investigate the influences of the rectangular/quasirectangular tunnel shape, burial depth, and supporting pressure on the ground stresses and displacements.
Design of 6.78 MHz SiC MOSFET Class-E Inverter with a Class-Φ High-Speed Driver

This paper presents a design challenge of a SiC MOSFET class-E inverter with a class- high-speed driver. The driver is based on a class- inverter which is a novel class-E inverter with a harmonic resonant filter, enabling the driver to achieve not only the class-E zero-voltage-switching/zero-derivative-switching (ZVS/ZDS) conditions but also a low switch-voltage stress. In this paper, the class-E inverter and its driver are regarded as a whole system to be designed. Additionally, the whole system is designed by using the numerical design procedure. A design example is also given along with its laboratory experiment under 156 W output power and 6.78 MHz operating frequency. All the switch-voltage waveforms obtained from laboratory experiment satisfy the class-E ZVS/ZVDS conditions. It is also seen from the experimental results that the numerical calculations agreed with the experimental ones quantitatively, which shows the validity of the design procedure presented in this paper.
Adaptive Super-Twisting Control for Automatic Carrier Landing of Aircraft

This paper studies the carrier landing control problem for aircraft in presence of model uncertainty, deck motion, and airwake disturbances. An automatic carrier landing system (ACLS) is designed. An adaptive super-twisting control (ASTC) scheme is proposed for a class of nonlinear multivariable system by combining parameter adaptions and sliding mode differentiators, and is applied to ACLS to ensure the tracking precision, rapidity, and robustness of carrier auto-landing. Simulation results show that the ASTC has better performance than the super-twisting control and proportional-integral-derivative (PID) control.
Examples of solution of the inverse scattering problem and the equations of the Novikov–Veselov hierarchy from the scattering data of point potentials

The inverse scattering problem is considered for the two- dimensional Schrödinger equation at fixed positive energy. The results include inverse scattering reconstructions from the simplest scattering amplitudes. In particular, a complete analytic solution is given of the phased and phaseless inverse scattering problems for single-point potentials of Bethe– Peierls– Fermi–Zeldovich– Berezin–Faddeev type. Numerical inverse scattering reconstructions from the simplest scattering amplitudes are then studied using the method of the Riemann–Hilbert– Manakov problem in soliton theory. Finally, these numerical inverse scattering results are used to construct corresponding numerical solutions of the non-linear equations of the Novikov–Veselov hierarchy at fixed positive energy. Bibliography: 21 titles.
Physics of laser-driven tin plasma sources of EUV radiation for nanolithography

Laser-produced transient tin plasmas are the sources of extreme ultraviolet (EUV) light at 13.5 nm wavelength for next-generation nanolithography, enabling the continued miniaturization of the features on chips. Generating the required EUV light at sufficient power, reliability, and stability presents a formidable multi-faceted task, combining industrial innovations with attractive scientific questions. This topical review presents a contemporary overview of the status of the field, discussing the key processes that govern the dynamics in each step in the process of generating EUV light. Relevant physical processes span over a challenging six orders of magnitude in time scale, ranging from the (sub-)ps and ns time scales of laser-driven atomic plasma processes to the several μs required for the fluid dynamic tin target deformation that is set in motion by them.
Structural and electronic properties of heterointerface composed of non-polar oxides: SrTiO3 and ferroelectric BaTiO3

Abstract We investigate the structural and electronic properties of heterostructure composed of two insulators: ferroelectric BaTiO3 and dielectric SrTiO3, by means of ab initio calculations. Both components of the heterostructure are non-polar in the simple ionic limit. We consider three types of BaTiO3 polarization: non-polar, dipoles towards the interface, and dipoles towards the surface. For the non-polar heterostructure, we obtain that system remains an insulator up to eight BaTiO3 overlayers. However, we show that polarization in the BTO slab induces conductivity. We analyze an impact of ferroelectric polarization onto conducting properties, as well as a possibility of switchable and controllable metal-insulator transition.
Intermittent Clutter Suppression Method Based on Adaptive Harmonic Wavelet Transform for L-Band Radar Wind Profiler

Boundary layer radar (L-band) wind profilers frequently encounter a significant problem arising from the contamination of intermittent clutter, produced by seasonal and nocturnal migrating birds, which often yields erroneous wind velocity and boundary layer information. Classical harmonic wavelet transforms (HWTs) are inadequate in removing the transient clutter contamination under certain conditions, particularly when the clutter is significant. We implemented an adaptive complex harmonic discrete wavelet transform with an advanced statistical method to overcome the shortcomings of the classical wavelet method. This algorithm effectively eliminates the bird contamination even where the classical method fails. Finally, a multiple peak-picking (MPP) algorithm was added to select true atmospheric signals and estimate accurate moments. The obtained wind velocity measurements were compared with those derived using the conventional method and validated with global positioning system radiosonde winds. The comparison shows that the proposed method is more effective than the conventional one.
A Fast and Simple Algorithm for Bayesian Adaptive Testing

The Bayesian way of accounting for the effects of error in the ability and item parameters in adaptive testing is through the joint posterior distribution of all parameters. An optimized Markov chain Monte Carlo algorithm for adaptive testing is presented, which samples this distribution in real time to score the examinee’s ability and optimally select the items. Thanks to extremely rapid convergence of the Markov chain and simple posterior calculations, the algorithm is ready for use in real-world adaptive testing with running times fully comparable with algorithms that fix all parameters at point estimates during testing.