Miracle-dz/UniFAR-FTUs huggingface dataset:
Tensile and Creep Properties Improvement of Ti-6Al-4V Alloy Specimens Produced by Electron Beam Powder Bed Fusion Additive Manufacturing

Thanks to their excellent mechanical strength in combination with low density, high melting point, and good resistance to corrosion, titanium alloys are very useful in many industrial and biomedical fields. The new additive manufacturing methods, such as Electron Beam Powder Bed Fusion based on the deposition of metal powders layers progressively molten by electron beam scanning, can overcome many of the machining problems concerning the production of peculiar shapes made of Ti alloys. However, the processing route is strictly determinant for mechanical performance of products, especially in the case of Ti alloys. In the present work flat specimens made of Ti-6Al-4V alloy produced by Electron Beam Powder Bed Fusion (or Electron Beam Melting) have been built and post-processed with the purpose of obtaining good tensile and creep performance. Preliminarily, the process parameters were set according to literature evidence and machine producer recommendations, validated by the results of a thermal analysis, aimed at satisfying the best processing conditions to reduce defects, as unmelted regions, microstructure coarsening or porosity, that are detrimental to mechanical behavior. Subsequently, Hot Isostatic Pressing and surface smoothing were considered, respectively, in order to reduce any internal porosity and lower roughness. Microstructure of the investigated specimens was characterized by optical and scanning electron microscopy observations and by X-ray diffraction measurements. Results show enhanced tensile behavior after the hot pressing treatment that allows to relieve stresses and reduce defects detrimental to mechanical properties. The best ductility was obtained by the combined effects of machining and densification. Creep test results verify the beneficial effects of surface smoothing.
The effects of different gluten-free flours on the physical, chemical, functional and sensorial properties of tarhana

Tarhana is traditional food product containing wheat flour. Because of wheat flour contains gluten, it is forbidden for celiac patients. The aim of this study was to determine physical, chemical, functional and sensorial properties of tarhana produced from gluten-free flours instead of wheat flour. The findings in this study showed that the use of non-cereal flours such as lupin, chickpea, common bean and buckwheat flours improved the chemical properties of tarhana compared to the use of cereal flours such as wheat, corn and rice flours. The highest Mg and P values were determined with buckwheat flour. Using lupin flour gave the highest Ca, Mn, foaming capacity, water absorption capacity and emulsifying activity values in tarhana. Using corn and rice flour resulted more lighter tarhana color than the others used in tarhana. According to sensorial evaluation; using chickpea, commonbean, rice and buckwheat flours improved the overall acceptability of tarhana.
New Nine-Level SPUC Inverter Using Single DC Source

A new nine level inverter is presented in this paper. It combines PUC and NPC topologies to create a new competitive converter that makes use of small count of power devices to generate more voltage levels. A PWM technique is designed to insure the self balancing of capacitors voltages. Moreover, no filters or regulation loop is required which permits a low inverter and installation cost. Authors make use of Matlab Simulink environment to perform the simulation of the proposed concept. Dynamics of the latter was verified against load and DC source voltage change.
Modeling and Analysis of Demagnetization Faults in BLDC Motor using Hybrid Analytical-Numerical Approach

Brushless Direct Current (BLDC) motors are the type of Permanent Magnet Synchronous Motors (PMSMs) with trapezoidal back-EMF. These motors are driven using Voltage Source Inverter (VSI), by appropriate switching through semiconductor devices. Different models of a typical BLDC motor have been reported in the literature. Models could be of different types such as analytical model where several assumptions are taken in order to simplify the analysis. While the Numerical Methods (NMs) approach such as Finite Element Method Magnetics (FEMM) gives more accurate solutions. This paper aims to combine both these approaches to develop a Hybrid MATLAB/ Simulink™ -FEMM model for a closed loop BLDC motor drive using a Hysteresis Current Control (HCC) technique. The developed model is simulated both under healthy and faulty conditions. In order to simulate the effect of demagnetization faults in the machine, demagnetization is introduced in the PM through various methods like change in magnetic coercivity which shall account for the uniform demagnetization of a pole and secondly, placement of broken Permanent Magnets (PMs) in the rotor to induce magnet defect in the machine. The performance of the motor through change in quantities like stator current, back-EMF, electromagnetic torque and mechanical speed are analyzed in detail to have a comparative study of the BLDC motor performance both under healthy and demagnetization fault conditions. Detailed simulation results have been discussed for each type of demagnetization faults.
Seven-level cascaded inverters for Uninterruptible Power Supply (UPS) applications

This paper considers single phase seven-level cascaded H-bridge (CHB) inverters for Uninterruptible Power Supplies (UPS) applications and proposes a fundamental switching frequency procedure, based on graphic analysis, to improve the output waveform quality. It fixes the first switching angle and gets the other two by intersection of harmonics functions set to zero. The performances of the proposed procedure, in terms of total harmonic distortion (THD), are compared with those obtained by a procedure that identifies the two remain optimal switching angles through a THD minimization algorithm. Experimental results are obtained by measurements performed on a prototype built at DigiPower laboratory. The agreement between computed and experimental results confirms the accuracy of the presented procedure.
Self-beliefs and student goal achievement

Two preliminary studies are presented investigating the self-beliefs that may ffect goal achievement in a student population. In Study 1, goal achievement on an abstract task, where goals are externally set by others, is considered in relationto students’ levels of optimism. In Study 2, goal achievement on academic performance, where goals are internally set by ones’ self, is considered in relation to students’ academic confidence. Optimism was related to goal achievement in Study 1 but only when the goal was believed to be difficult to achieve; optimistic studentsachieved higher scores than pessimistic students. In Study 2 confidence was related to goal achievement; students with moderate levels of academic confidence were wellcalibrated in their grade predictions whereas those with high levels of academic confidence were overconfident in their grade predictions. The results are discussed in relation to student motivation.
Partial Discharge Analysis under High-Frequency, Fast-Rise Square Wave Voltages in Silicone Gel: A Modeling Approach

Wide bandgap (WBG) power modules able to tolerate high voltages and currents are the most promising solution to reduce the size and weight of the power management and conversion systems. These systems are envisioned to be widely used in the power grid and the next generation of more (and possibly all) electric aircraft, ships, and vehicles. However, accelerated aging of silicone gel when being exposed to high frequency, fast rise-time voltage pulses that can offset or even be an obstacle for using WBG-based systems. Silicone gel is used to insulate conductor parts in the module and encapsulate the module. It has less electrical insulation strength than the substrate and is susceptible to partial discharges (PDs). PDs often occur in the cavities located close to high electric field regions around the sharp edges of metallization in the gel. The vulnerability of silicone gel to PDs occurred in the cavities under repetitive pulses with a high slew rate investigated in this paper. The objective mentioned above is achieved by developing a Finite-Element Analysis (FEA) PD model for fast, repetitive voltage pulses. This work has been done for the first time to the best of our knowledge. By using the model, the influence of frequency and slew rate on the magnitude and rate of PD events is studied.
Investigation of Self-Heating Effect on DC and RF Performances in AlGaN/GaN HEMTs on CVD-Diamond

Abstract-We have investigated the self-heating effect on DC and RF performances of identically fabricated AlGaN/GaN HEMTs on CVD-Diamond (GaN/Dia) and Si (GaN/Si) substrates. Self-heating induced device performances were extracted at different values drain bias voltage (<inline-formula> <tex-math notation="LaTeX">$V_{D}$ </tex-math></inline-formula>) and dissipated DC power density (<inline-formula> <tex-math notation="LaTeX">$P_{D}$ </tex-math></inline-formula>) in continuous wave (CW) operating condition. The effect of self-heating was observed much lesser in GaN/Dia HEMTs than GaN/Si HEMTs in terms of <inline-formula> <tex-math notation="LaTeX">$I_{\mathrm{D}}$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$I_{\mathrm{G}}$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$g_{\mathrm{m}}$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$f_{\mathrm{T}}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$f_{\mathrm{max}}$ </tex-math></inline-formula> reduction. Increased channel temperature caused by joule heating at high <inline-formula> <tex-math notation="LaTeX">$P_{\mathrm{D}}$ </tex-math></inline-formula> reduces the 2-DEG carrier mobility in the channel of the device. This behaviour was also confirmed by TCAD simulation which showed ~3.9-times lower rising rate of maximum channel temperature and lowers thermal resistance (<inline-formula> <tex-math notation="LaTeX">$R_{\mathrm{th}}$ </tex-math></inline-formula>) in GaN/Dia HEMTs than GaN/Si HEMTs. Small signal measurements and equivalent circuit parameter extraction were done to analyze the variation in performance of the devices. Our investigation reveals that the GaN/Dia HEMT is a promising candidate for high power density CW operation without significant reduction in electrical performance in a large drain bias range.
Exploring a Voice Illusion

The experimental paradigm of embodiment illusions has greatly contributed to our knowledge on how the brain distinguishes self from other. Different types of illusions have provided empirical data for a theoretical framework describing multisensory integration of signals from both within and outside of the body, and predictive coding mechanisms to weigh those signals. However, most embodiment illusion studies lean heavily on visual sensory information as the main signal to establish the illusion. Few studies to date have explored non-visual embodiment illusions. These could potentially lead to a more thorough understanding of the underlying mechanisms of embodiment. In this study, we aim to approach an auditory embodiment illusion - more specifically a voice illusion - in an in-depth, structured way. We combined vibrotactile feedback on the throat with voice sounds, both articulated and non-articulated. Additionally, we measured interoceptive, proprioceptive and exteroceptive sensitivity. Results indicate that non-visual embodiment illusions are much more difficult to establish than visual-based ones and that proprioceptive and interoceptive sensitivity might influence the illusion strength. Absence of feedback might disrupt the illusion less than asynchronous feedback, which is in line with predictive coding expectations.
THE USE OF Ru NANOPARTICLES FOR THE SYNTHESIS OF COMPOSITE MATERIALS A thesis submitted in partial fulfillment of the requirements For the degree of Master of Science in Chemistry By

xii Chapter 1 Introduction 1 1.1 Olefin Metathesis and Polymerization 1 1.2 Olefin Metathesis in Surface Chemistry and Well Defined 10 Surface Alkylidenes 1.3 A Crossroads of Concepts 21 Chapter 2 Materials and Methods 25 2.1 Synthetic Methodology: General Procedures 25 2.2 Preparation of Ru(cod)(cot) 26 2.3 Preparation of Ru(0) nanoparticles supported on SiO2 27 2.4 Preparation of Ru(0) nanoparticles supported on TiO2 28 2.5 Polymerization of norbornene and norbornadiene with Ru NPs 28 2.6 Attempted ring closing metathesis of diethyl diallylmalonate 29 2.7 Attempted cross metathesis of 1-hexene 30 2.8 Analytical Techniques: Characterization by X-ray photoelectron 30 spectroscopy 2.9 Characterization by SEM/EDS 36 2.10 Characterization by TEM 38 Chapter 3 – Results and Discussion 40 3.1 Synthesis of Ru(cod)(cot) 40 3.2 Synthesis of Ru/SiO2 nanoparticles 41 3.3 Characterization of Ru/SiO2 nanoparticles 42 3.4 Synthesis and characterization of Ru/TiO2 NPs 48 3.5 Olefin metathesis reactivity and characterization of composite 53 materials Chapter 4 – Conclusion and Outlook 79 References 83
Interactive Empathic Virtual Coaches Based on the Social Regulatory Cycle

Long distance learning has always faced several challenges in regards to motivation and availability of opportunity for students. While the latter has seen efforts in terms of collaborative and non-traditional learning avenues, such as online courses and virtually hosted classrooms, the former still suffers due to external influences and responsibilities, which in turn lead to an increase in student's disinterest levels. To combat these hindrances, we propose the creation of an intelligent virtual agent based on the Social Regulatory Cycle, to fill the role of a coach in a readily available mobile application. This virtual coach is capable of supporting and adapting to the needs of human students, helping them in their tasks based on their intentions, motivations and feelings. By gathering objective and subjective user data, the virtual coach is able to interpret learning situations of individual users and, with the use of a synthetic character with analogous mannerisms to those of an actual human, help them by modulating their emotional state in the context of the learning process. Preliminary evaluations performed within an online learning environment class showed users continued interest in engaging with the virtual coaches on a regular basis.
The Effects of Hydrostatic Pressure on the Subharmonic Response of SonoVue and Sonazoid

It has been previously established that the subharmonic signal of microbubble ultrasound contrast agents follows an inverse linear relationship with the ambient hydrostatic pressure. However, contradictory results have been reported for SonoVue (Bracco Spa, Milan, Italy). Therefore, the aim of this study was to investigate the subharmonic response of SonoVue across a range of physiologically-relevant hydrostatic pressures (10–220 mmHg), and to compare it with Sonazoid (GE, Oslo, Norway). A modified GE Logiq 9 scanner was used to acquire the subharmonic signals from Sonazoid and SonoVue in a sealed water tank. In addition, the Ultrasound Advanced Open Platform (ULA-OP) was used to acquire the subharmonic signal of SonoVue at 0–200 mmHg in a cell culture cassette over approximately 3 min. Sonazoid showed an inverse linear relationship between subharmonic amplitude and hydrostatic pressure (slope −0.11 dB/mmHg; r = −0.81), as expected. SonoVue exhibited an increase in subharmonic amplitude from 0–100 mmHg hydrostatic pressure (slope 0.06 dB/mmHg, r = 0.81), a plateau between 100–140 mmHg, and a decrease from 140–220 mmHg (slope −0.26 dB/mmHg, r = −0.98). The subharmonic amplitude of SonoVue increased over 3 min at 0 and 25 mmHg hydrostatic pressure, did not change with time at 50–100 mmHg, and decreased over time at 125–200 mmHg. However, the effects of time on the subharmonic amplitude of SonoVue were smaller than the effects of hydrostatic pressure. The subharmonic response of SonoVue to hydrostatic pressure differs from Sonazoid and other microbubble ultrasound contrast agents.
Towards Machine-Learning Assisted Asset Generation for Games: A Study on Pixel Art Sprite Sheets

Game development is simultaneously a technical and an artistic challenge. The past two decades have brought many improvements to general-purpose game engines, reducing the new games development effort considerably. However, the amount of artistic work per title has continuously grown ever since, as a result of increased audience's expectations. The cost of asset-making is further increased based on the aesthetics chosen by the design team and the availability of professionals capable of understanding the nuances of the specific visual language chosen. In this paper, we dig into the topic of deep-learning assets generation to reduce the costs of the asset making pipeline, a major concern for game development teams. More specifically, we tackle the challenge of generating pixel art sprites from line art sketches using state-of-the-art image translation techniques. We set this work within the pipeline of Trajes Fatais: Suits of Fate, a 2D pixel-art fighting game inspired by the late nineties classics of the fighting genre. The results show that our deep-learning assets generation technique is able to generate sprites that look similar to those created by the artists' team. Moreover, by means of qualitative and quantitative analyses, as well as character designers evaluation, we demonstrate the similarity of the generated results to the ground truth.
Flow Metering of Gases Using Ultrasonic Phased-Arrays at High Velocities

We present an ultrasonic transit-time gas flow meter (UFM) based on our 40 kHz 8 8 phased-array. Besides single element receivers, the UFM uses×a waveguide-based phased-array with an inter-element spacing of half-lambda as sender, capable of electronic beam steering for an extra-large flow velocity range. The sound drift effect limits the measurement range of conventional UFMs, i.e. we compensate the sound-drift effect using beam steering. The UFM features a maximum measurable flow velocity up to 100 m s−1. The flowmeter body is a fully 3D-printed pipe with a length of 800 mm and an inner diameter of 315 mm. The receivers are arranged at inclination angles of 45◦. The flowmeter is tested on a test rig for ventilation fans according to ISO 5801:2017(E). At zero flow velocity, the SNR for the downstream receiver is 64.1 dB. Without compensation of the sound-drift effect, at the full flow velocity of 100 m s−1, the SNR drops down to 18.0 dB (downstream). When the compensation is enabled, the SNR raises by 18.7 dB (downstream) at full flow velocity. These numbers proof that the usage of a phased-array in a UFM can significantly increase the maximum measurable flow velocity. Further advantages are the possibility of multi-path measurements for an improved meter factor, i.e. eccentric flow meter configurations.
The Instrumentation Influence on the Motor Loss Determination Uncertainty

The input-output method is the most frequently used and, in practice, the only viable alternative to determine the losses of all electrical machines regardless of the supply type or motor technology. However, the losses obtained with the input-output method are sensitive to power measurement uncertainties of the input and output powers. The power measurement uncertainty is formed by two parts: type A uncertainty is related to the variations in the measurement data and type B uncertainty is related to measurement instruments. The variations in the data can be controlled using data processing techniques and the type B uncertainty can be controlled using accurate measurement devices and choosing correctly rated measurement instruments for each task. In practice, the range of the instruments is limited and it is not always possible to perfectly match the instruments to the measured values. In here, the effect of the ratings of the instruments on the loss measurement uncertainty when using the input-output method is studied using a set of induction motors with rated powers from 7.5 kW to 355 kW. The specifications of the measurement instruments available at Electric Drives laboratory at LUT-University are used to derive the theoretical loss measurement uncertainty for the motors. The detailed uncertainty analysis includes the electric and mechanical powers, and as a result, loss measurement uncertainty is given. The results can be used to get an overview about the level of the expected measurement uncertainty for motors with different power ratings and its effect on the determination of efficiency.
A Robot Model of Stress-Induced Compulsive Behavior

Stress is one of the potential mechanisms underlying compulsive behavior in obsessive-compulsive spectrum disorders. In this paper, we present a robot model and experiments investigating the interactions between internally-and externally-induced stress and compulsive behavior. Our results show properties of the model with potential implications for understanding how stress can result in the generation and maintenance of compulsive behaviors, and how response-prevention interventions can affect compulsive responses under different conditions.
Control Architecture for Robotic-Assisted Polishing Tasks Based on Human Skills

This paper describes a computed-torque control architecture for robotic-assisted polishing tasks based on human demonstration. An impedance control approach for both robot position and orientation is investigated without explicit force sensing, relying on compliant frames relative to the end-effector and on posture optimization in the null space. For the orientation control the approach relies on rotation matrix properties connected to the axis-angle formulation, having no singularity problems. Additionally, we also propose a robust technique for integral control on the orientation error. Regarding Cartesian positioning, we are using typical PID-based control techniques. A Panda robot from Franka Emika is used to validate the control architecture. Regarding human demonstration and skill transfer, two steps have been followed. The first one corresponds to robot teaching, where the user takes the manipulator by hand (co-manipulation), creating a pattern of positions and forces. The second step processes co-manipulation data to generate references for the controller. To evaluate robot performance, the teaching pattern is replicated several times throughout a wide area and assessed w.r. t. position and orientation tracking.
A Deep Learning Approach for Network Intrusion Detection Based on NSL-KDD Dataset

Along with the high-speed growth of Internet, cyber-attack is becoming more and more frequent, so the detection of network intrusions is particularly important for keeping network in normal work. In modern big data environment, however, traditional methods do not meet requirement of the network in the aspects of adaptability and efficiency. A approach based on deep learning for intrusion detection was proposed in this paper which can be applied to deal with the problem to certain extent. Autoencoder, as a popular technology of deep learning, was used in the proposed solution. The encoder of deep autoencoder was taken to compress the less important features and extract key features without decoder. With proposed approach one can build the network and identify attacks faster, the benchmark NSL-KDD dataset can be evaluated with proposed model.