Miracle-dz/UniFAR-FTUs huggingface dataset:
First-principles investigation of lattice constants and bowing parameters in wurtzite AlxGa1−xN, InxGa1−xN and InxAl1−xN alloys

First-principles calculations, by means of the full-potential augmented plane wave method using the local density approximation, were carried out for the structural and electronic properties of the AlxGa1−xN, InxGa1−xN and InxAl1−xN alloys in the wurtzite structure. We have investigated the lattice parameters and band gap energies. The lattice constants a and c are found to change linearly for the AlxGa1−xN alloy, while for both InxGa1−xN and InxAl1−xN alloys the lattice parameters, a, exhibit an upward bowing. The calculated band gap variation for the three alloys exhibit a downward bowing of 0.71 eV, 1.7 eV and 4.09 eV for AlxGa1−xN, InxGa1−xN and InxAl1−xN, respectively.
A Piecewise-Affine Decision Rule based Stochastic AC Optimal Power Flow Approach

This paper proposes a piecewise-affine decision rule based stochastic optimal power flow approach for reserve dispatch of generators under uncertain demand and renewable energy source generation. The ambiguity set comprises a predefined set of scenarios to capture the plausible uncertain realizations. The objective is to minimize the expected generation cost under those scenarios. A piecewise-affine decision rule is established with auxiliary control parameters to compute the optimal participation of generators depending on the amounts of reserve requirements. Such a reserve dispatch rule would be less conservative compared to the traditional affine decision rule. The results illustrate that the proposed piecewise-affine generation redispatch rule improves the optimality of operation via efficient resource utilization for reserve support.
A Decomposition and Coordination Approach for Large Sub-hourly Unit Commitment

Sub-hourly Unit Commitment (UC) problems have been suggested as a way to improve power system efficiency. Such problems, however, are much more difficult than hourly UC problems. This is not just because of the increased number of period to consider, but also because of much reduced unit ramping capabilities leading to more complicated convex hulls. As a result, state-of-the-art and practice methods such as branch-and-cut suffer from poor performance. In this paper, our recent Surrogate Absolute-Value Lagrangian Relaxation (SAVLR) method, which overcame major difficulties of standard Lagrangian Relaxation, is enhanced by synergistically incorporating the concept of Ordinal Optimization (OO). By using OO, solving subproblems becomes much faster. Testing of Midcontinent ISO (MISO)’s problem with 15 minutes as the time interval over 36 hours involving about 1,100 units and 15000 virtuals demonstrates that the new method obtains near-optimal solutions efficiently and significantly outperforms branch-and-cut.
How road narrowing impacts the trade-off between two adaptation strategies: reducing speed and increasing neuromuscular stiffness

When drivers encounter a road narrowing two potential adaptation strategies come into play that may increase safety margins: decreasing speed and increasing neuromuscular stiffness of the arms. These two adaption strategies have so far been studied in isolation. We expect that there is a trade-off between these two strategies, and that risk duration would impact a driver’s selection of the trade-off. Specifically, we hypothesized that for a short risk duration, drivers will favour increased neuromuscular stiffness over speed reduction; and vice versa for longer risk durations. Twenty-six participants drove in a driving simulator and encountered different risk durations; realized by road narrowings (from 3.6 m to 2.2 m) of varying lengths (10 m, 100 m, 250 m, and 500 m). The neuromuscular stiffness was quantified by measuring the grip force exerted by both hands. The results show that all road narrowing conditions successfully induced driver adaptations, as a significant reduction in speed and increase in grip force was observed. However, the tested drivers did not consistently select the hypothesized different trade-offs for increasing duration of road narrowing: a low correlation was found between speed and grip force adaptations. Interestingly, individual trade-off were consistent: the within-subject variability in speed-grip force adaptations was low across the tested risk durations. Future research should further elucidate the underlying motivations for these individual adaptation strategies.
Accounting Earnings and Free Cash Flow

The extant literature has focused on the relation between earnings and returns (i.e., change in value). Yet change in firm value arises from two sources: (1) return on the assets in place; and, (2) cash flows to/from debt holders, equity holders, and/or cash reserves (i.e., free cash flow). The primary contribution of our paper is to add analysis of the relation between earnings and free cash flow. We show that: (1) free cash flow explains more of operating income than is explained by returns; (2) the difference in the portion of negative cf. positive enterprise returns captured in operating income is similar to the portion of negative cf. positive equity returns captured in earnings reported in the extant literature and this portion is different if there is net cash inflow vs. net cash outflow; (3) the portion of each source of change in value captured in operating income changes with leverage, thus, we extend the extant literature on the effect of leverage on “conservative” accounting; (4) leverage varies with type of investment and, since the accounting varies with the type of investment, the portions of change in value captured in operating income varies, thus, we provide an alternative explanation for the relation between leverage and the degree of conservatism in accounting.
The Impact of Transformational Leadership Style on Teamwork Performance in Construction Industry

Transformational leadership is one of the more modernized styles of leadership toensures that workers are properly directed toward achieving organization goals.Transformational leadership involve person that responsible as a leader those who forms relationship with their subordinates, resulting in a relationship that is intellectually stimulating to subordinates; The leader provides inspirational motivation, is sensitively considerate and supportive, and expresses a mission that represents the shared views of the group.The capability and ability of a leader to spur the follower to accomplish more than what the follower planned to accomplish is the foundation of the theory of transformational leadership. The main objective of this paper is to examine the effect of transformational leadership style on the teamwork performance in construction industry in Malaysia. A quantitative research approach was adopted by dissemination developed questionnaires to large sized construction companies registered as grade G7 contractors under CIDB, Malaysia. Questionnaires were sent to 600 randomly selected respondents via postal service . There are 120 (20% response rate) of the questionnaires were returned, completed and useable. The analysis methods in this research were based on multiple regression study. The finding of this study found a significant relationship between two transformational leadership style namely inspire followers to go beyond their own self-interest and giving employee empowerment with the teamwork performance.
Outage Probability Analysis for NOMA Downlink and Uplink Communication Systems With Generalized Fading Channels

This work considers multiple user power-domain non-orthogonal multiple access (NOMA)-based downlink (DL) and uplink (UL) communication systems with potentially dissimilar fading links for all the users that can follow one of several possible distributions such as Rayleigh, Rician, Nakagami-<inline-formula> <tex-math notation="LaTeX">$m$ </tex-math></inline-formula>, Nakagami-<inline-formula> <tex-math notation="LaTeX">$q$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$\kappa -\mu $ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$\eta -\mu $ </tex-math></inline-formula>, Nakagami-lognormal. The presented analysis, which is based on approximating the probability density function (PDF) of the channel gain as a sum of Gamma distributions, is sufficiently general and applicable in a multitude of NOMA scenarios. For both the UL and DL, closed-form expressions are determined for the outage probability at the users considering both statistical channel state information (CSI)-based as well as instantaneous CSI-based ordering techniques. Analytical expressions for the outage probability and the ensuing diversity orders have also been obtained for the NOMA DL system at high SNRs. Furthermore, similar expressions for the outage probability and outage floor for the NOMA UL system have been derived at high SNRs. Finally, simulation results have been presented to authenticate the analytical results derived and provide insights into the NOMA system performance.
Analyzing Cauvery River Dispute Using A System of Systems approach

Cauvery River, in the southern part of India, has experienced conflict about the right to use water for the last 130 years. Historically, the states/provinces in conflict have used the water from the river for agricultural purposes. In our research, we are developing a novel system of systems approach which takes in scenario-based methods for analyzing the conflict. We have employed four methodologies which feed into each other and overlap, namely, an expert elicitation, an integrated water resources management approach to generate the stream-flow requirements in the basin, a socio-political and economic impact approach which analyses the various relevant factors affecting the conflict in the region, and finally, a graph model to map out the progression of the conflict to potentially resolve. We present our methods and the preliminary findings in this paper.
Automatic Generation of Diegetic Guidance in Cinematic Virtual Reality

One of the advantages of Cinematic Virtual Reality over traditional movies is that viewers can freely explore the virtual space. However, such freedom leads to a problem of missing some key events during watching. Therefore, directional visual guidance in the virtual space is vital for the viewer to follow the storyline and capture key events. Generating moving objects is one of the most commonly used diegetic guidance techniques which can implicitly guide the viewer’s attention in the virtual space. In this paper, we investigate the formulation of key events in Cinematic Virtual Reality with event-of-interest script. Based on the formulation, we analyze the factors influencing diegetic guidance and propose an automatic-generating approach named Dynamic Diegetic Guidance. User study showed Dynamic Diegetic Guidance has a higher degree of immersion and takes less time to redirect viewers to key events compared with fixed guidance techniques, which makes the viewing experience more informative and entertaining.
Machine Learning Approach for Postprandial Blood Glucose Prediction in Gestational Diabetes Mellitus

Postprandial blood glucose prediction is a crucial part of diabetes management. Recently, this topic has been of great interest, resulting in many research projects and published papers. Although different input parameters that might be beneficial for blood glucose prediction models were comprehensively discussed, specific data preprocessing, feature engineering and model tuning steps were not explained in detail in many of these papers. In this work, we developed and comprehensively described a data-driven blood glucose model based on a decision tree gradient boosting algorithm to predict different characteristics of postprandial glycemic responses; the model utilized meal-related data derived from a mobile app diary (including information on the glycemic index), food context (information on previous meals), characteristics of the individual patients and patient behavioral questionnaires. A set of rules was defined and implemented to detect incorrect meal records and to filter faulty data, and analyses were conducted on the overall food diary data and in particular, the data on the current meal for which the postprandial blood glucose response was calculated. Different gradient boosting models were trained and evaluated with parameters selected via random search cross-validation. The best models for the prediction of the incremental area under the blood glucose curve two hours after food intake had the following characteristics: R = 0.631, MAE = 0.373 mmol/L*h for the model not using data on current blood glucose; R = 0.644, MAE = 0.371 mmol/L*h for the model using data on the current blood glucose levels; and R = 0.704, MAE = 0.341 mmol/L*h for the model utilizing data on the continuous blood glucose trends before the meal. The impact of features was evaluated using Shapley values. The meal glycemic load, amount of carbohydrates in the meal, type of meal (e.g., breakfast), amount of starch and amount of food consumed 6 hours before the current meal were the most important contributors in the models.
High-torque ferrite synchronous reluctance machine design optimization

The electrical machine’s development focused on the specific industry applications are becoming very attractive in recent years. The goal is to simplify, increase reliability, and reduce the cost of the application drive train that is usually achieved by diminishing the need for a gearbox. A possible electric motors drive train cost optimization could be achieved in two ways – use of cheaper electric motors or reduce either amount or cost of the electric motor accessories. The high-torque ferrite synchronous reluctance machine design is aiming at both of these assumptions. This electric motor is using low-cost ferrite permanent magnets, this could reduce the motor price and since it is developed for the specific application, there is no need for a gearbox.This paper focuses on the design and optimization of high-torque ferrite assisted synchronous reluctance machine. The application of the proposed design is to replace surface permanent magnet low-speed traction motor while reducing the motor cost and achieving the best possible efficiency. The main aim of achieving the best possible efficiency is always done within the specified boundaries. The optimization method chosen by the authors is the design optimization by evolutional algorithm. The multi-objective self organizing migrating algorithm was used for an optimization of the high-torque ferrite assisted synchronous reluctance machine in this publication.
Impulse performance of ground electrodes for increasing number of rod electrodes

This paper presents experimental results of three electrode's configurations, 1-rod, 2-rod and 3-rod electrodes. A high impulse current generator is employed to inject different magnitudes of current into these rod electrodes. The effect of increasing number of rod electrodes on the voltage and current waveforms, time to peak current, discharge time and impulse resistance values is analyzed. From the results analysis, it was found that the larger the size of rod electrodes, the lower the reduction of impulse resistance, Rimpulse from its steady state, RDC. Inductive effect was also found to be significant for higher number rod electrodes, particularly at lower current magnitudes.
A DoS-resilient Set-Theoretic Controller for Smart Grid Applications

In this paper, we address the problem of designing a Denial of Service (DoS)-resilient controller for robustly recovering transient stability in smart grids. In particular, we consider a scenario where, during the recovery phase, a finite-time DoS attack affects the measurement channel. We propose a Model Predictive Control (MPC) controller based on the set-theoretic arguments, which is capable of dealing with both model uncertainties, actuator limitations and DoS. Unlike traditional robust MPC solutions, the proposed controller is particularly appealing for smart grid applications given its intrinsic capability of moving most of the required computations into an offline phase. The online phase requires the solution of a quadratic programming problem, which can be efficiently solved in real-time. Moreover, the proposed controller ensures a worst-case time to recovery irrespective of any admissible perturbation and DoS realization. Finally, by considering the New England 10-generator 39-bus system, simulation results are presented to show the advantage of the proposed solution when contrasted with another recently proposed scheme.
Action Discretization for Robot Arm Teleoperation in Open-Die Forging

Action extraction from teleoperated robots can be a crucial step in the direction of full -or shared- autonomy of tasks where human experience is indispensable. This is especially important in tasks that seek dynamic goals, where a human operator needs more control on how the machine behaves to provide assistance or perform a task. Open-die forging is a basic metal-forming process that lacks non-destructive product quality measures. Human experience is therefore imperative. During the process, a robot-arm is operated to place the work-piece between the dies of the forge where it is striked several times to reach a specific geometry. In this paper, we apply a white-box computer vision technique to discretize open-die forging robot-arm teleoperation data into actions as a step in learning the operator’s behavior.
On the Joint Usage of Target Wake Time and 802.11ba Wake-Up Radio

Energy efficiency is a significant challenge for modern wireless networking devices. It is crucial for the Internet of Things devices, is required for battery-supplied user devices such as smartphones, and is advisable for high-performance devices such as wireless VR headsets. This article examines the ability of modern Wi-Fi devices to achieve extremely low power consumption when they rarely send and receive data. Two recently developed mechanisms, namely Target Wake Time (TWT) and Wake-Up Radio (WUR), are studied. The first one allows stations to schedule the frame exchanges in advance, while the second one introduces a low-power radio for control information exchange. Although TWT and WUR differ significantly, they both suffer from the clock drift effect that significantly degrades their performance in the case of rare traffic. The paper describes these mechanisms, focusing on their revolutionary features, and presents mathematical models to evaluate the impact of this effect on TWT and WUR mechanism efficiency in terms of energy and channel time consumption. The paper also proposes and thoroughly examines various approaches to the joint and separate usage of TWT and WUR in Wi-Fi networks.
Non-Foster Self-oscillating Single-loop Antenna

A recently proposed concept of a self-oscillating non-Foster antenna array is modified for the case of a single loop. An ordinary loop antenna is split into two smaller half-loops of unequal size, mutually connected via a voltage-inversion negative impedance converter (VNIC). This system effectively operates as a series connection of an ordinary positive-inductance half-loop and a slightly smaller negative-inductance half-loop. Insertion of additional series capacitor introduces instability and the system behaves as broadly tunable self-oscillating antenna. The idea was tested by simulations of a model of small $(\lambda/10)$ loop integrated with a Linvill floating NIC and operating in 50 MHz RF band. Obtained results revealed efficient self-oscillations with a 1:2 tuning bandwidth and the suppression of harmonics better than 20 dB. This antenna might find application in future active metasurfaces.
Symmetric adversarial poisoning against deep learning

Data poisoning is known as the goal of finding small modifications of training data which make them not suitable anymore for training a targeted model.Recently, an efficient symmetric poisoning attack targeting frozen deep features plus support vector machine has been found. However, new experiments presented in this paper shows that this attack is not symmetric anymore on unfrozen/real deep networks.Then, several extensions of this attack are considered on CIFAR10/CIFAR100 with both VGG and ResNet backbone leading to a symmetric attack. On VGG/CIFAR10 setting, this extended attack makes performances moving by -60%,+5% from native accuracy using perturbations invisible to human eyes. Code is available at github.com/achanhon/AdversarialModel.
Noncatalytic Biodiesel Fuel Production from Croton megalocarpus Oil

Biodiesel is currently considered as the most promising substitute for diesel fuel because of its similar properties to diesel. This study presents the use of the supercritical methanol method in the production of biodiesel from Croton megalocarpus oil. The reaction parameters such as methanol-to-oil ratio, reaction temperature and reaction time were varied to obtain the optimal reaction conditions by design of experiment, specifically, response surface methodology based on three-variable central composite design with α = 2. It has been shown that it is possible to achieve methyl ester yields as high as 74.91 % with reaction conditions such as 50:1 methanol-to-oil molar ratio, 330 °C reaction temperature and a reaction period of 20 min. However, Croton-based biodiesel did not sustain higher temperatures due to decomposition of polyunsaturated methyl linoleate, which is dominant in biodiesel. Lower yields were observed when higher temperatures were used during the optimization process. The supercritical methanol method showed competitive biodiesel yields when compared with catalytic methods.
Power Hardware-in-the-Loop Testing of Residential PV Inverters in the Conditions of Weak Network

The paper presents the results of the power hardware-in-the-loop study of four commercially available residential solar inverters. This study was performed for Hydro-Québec TransÉnergie as part of a mandate to characterize the behavior of PV inverters and assess their impact on the transmission system. The particular focus of the paper is the behavior of the inverters in the conditions of weak network or high penetration level. Firstly, an analysis using a simple network model is done, and the resonance conditions are determined via linear analysis and subsequent experimental tests. Furthermore, a realistic model of an actual rural distribution feeder in Québec is used to validate the findings. The results demonstrate that the undesirable effects of the resonance are common among various commercial products and can potentially disrupt normal operation of the power grid.
Application of Coupling Ground Wire in Distribution Line Lightning Protection

Lightning induced overvoltage is the main object of lighting protection for overhead distribution lines, and the protective effect of coupling ground wire against lightning induced overvoltage is a common focus inactual projects. Firstly, a lightning induced overvoltage calculation model of distribution line with ground wire is established. Then, by numerical simulation, we analyzed the inhibitory effect of coupling ground wire to lighting induced overvoltage, including the influences of tower type and ground wire position.