Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of Damper Transient Currents in Salient-Pole Synchronous Generator With Skewed Armature Slots Considering Interbar Currents

Salient-pole synchronous generators with skewed armature slots have damper interbar currents that flow transversely between the damper bars through the core. The pattern of interbar and damper bar currents under disturbances is useful information to designers for comprehensive knowledge of damper's electromagnetic performances and potential improvement of design. This paper presents the measurement of the interbar and interpole resistances and develops the multislice two-dimensional (2-D) finite-element model with integrated interbar circuit for a 10-kW model generator. The damper currents of the generator under 3-phase sudden short circuit are calculated with this model and compared with the measured results for validation. The influences of the variation in skew and bar-iron contact resistance on the pattern of interbar and damper bar transient currents are investigated by calculations for the fault of 3-phase sudden short circuit. The calculated results show that small bar-iron contact resistances may result in axially uneven distribution of damper bar transient currents, and the magnitude of slot ripple in the interbar current at different axial positions vary with the skew in different manners.
Finite-time Distributed Event-triggered Consensus Control for Leader-following General Linear Multi-Agent Systems

In this paper, we study the finite-time containment consensus problem for multi-agent systems with general linear dynamics. Finite time consensus can reach consensus faster and have better disturbance rejection properties compared with conventional asymptotic consensus. Hence, we propose a distributed, independent and asynchronous event-triggered control protocol with leaders. We demonstrate that each follower agent can achieve consensus to the convex hull spanned by the leaders' agents in a certain time regardless of the initial condition under this event-triggered control strategy.
Tracking Object based on GPS and IMU Sensor

Unmanned vehicles required a tracking system to monitor the movement of the object. Tracking system required because the object is controlled remotely and the movement of an object is too far from an operator. This tracking system requires object location and attitude. Global Positioning System (GPS) and Inertial Measurement Unit (IMU) sensor can be used to obtain information about object location and attitude. This IMU consists of some sensors, i.e. accelerometer, gyroscope, and magnetometer. In IMU system, angle data from gyroscope and accelerometer sensor must be combined using a complementary filter because each sensor data still has a noise signal. This paper discusses tracking object using GPS and IMU sensor and then processed by the microcontroller to display in Personal Computer (PC). Object tracking system that designed works well. The result of testing, the average of error for GPS and IMU system, respectively, are 2.67 m and 0.96°.
Ensuring the Safe Landing of the Quadrocopter in an Accident

By means of mathematical modeling, the main features of emergency landing of quadrocopter are determined. The results of simulate landings of the quadrocopter in cases of failure of one of four pairs of electric motor screw are given. The methods of safe landing of an unmanned quadrocopter in case of failure of one of four pairs of motor-screw are proposed. The basis of the proposed methods is to use a parachuting effect. Parachuting achieved by forced off the power of the motor, which is located at the opposite end of the same yoke as faulty motor. As a result, the vertical speed of the quadrocopter at the time of landing significantly decreases in comparison with the speed of free fall.
Sensorless Closed-Loop Control of Solenoid Actuators Using IDIM Technique

Electromechanical solenoids are widely used in the industrial field since they are offering a robust actuation principle with high forces and large strokes. For reliable position control of such kind of actuators, usually mechanical position sensors are required, which allow the solenoid to act as a linear servo actuator. Nevertheless, mechanical sensors increase the system size and cost significantly. In order to address this issue, this work uses a new sensorless control method named “Integrator-Based Direct Inductance Measurement” (IDIM), which is capable of estimating the actuator position without the injection of additional test voltages and without involving high computational effort. After the application of the IDIM technique on solenoids, this work proposes a sensorless closed-loop position controller, which is implemented and verified experimentally on a microcontroller-based embedded system.
A Modular Framework for the Analysis and Synthesis of Head-Related Transfer Functions

The paper gives an overview of a number of tools for the analysis and synthesis of head-related transfer functions (HRTFs) that we have developed in the past four years at the Department of Information Engineering, University of Padova, Italy. The main objective of our study in this context is the progressive development of a collection of algorithms for the construction of a totally synthetic personal HRTF set replacing both cumbersome and tedious individual HRTF measurements and the exploitation of inaccurate non-individual HRTF sets. Our research methodology is highlighted, along with the multiple possibilities of present and future research offered by such tools.
Identifying and Merging Related Bibliographic Records

Bibliographic records freely available on the Internet can be used to construct a high-quality, digital finding aid that provides the ability to discover paper and electronic documents. The key challenge to providing such a service is integrating mixed-quality bibliographic records, coming from multiple sources and in multiple formats. This thesis describes an algorithm that automatically identifies records that refer to the same work and clusters them together; the algorithm clusters records for which both author and title match. It tolerates errors and cataloging variations within the records by using a full-text search engine and an $n$-gram-based approximate string matching algorithm to build the clusters. The algorithm identifies more than 90 percent of the related records and includes incorrect records in less than 1 percent of the clusters. It has been used to construct a 250,000-record collection of the computer science literature. This thesis also presents preliminary work on automatic linking between bibliographic records and copies of documents available on the Internet.
Particle Filter with Unknown Noise Statistics and with Prior Knowledge

Particle filters have been widely used as a solution to the Bayesian filtering problem, propagating in time a Monte Carlo (MC) approximation of the a posteriori filtering measure. In many situations, the exact statistics of the noises is not known, but some prior information is available. We consider here the estimation of the noise parameters by sampling from the a posteriori distribution of the unknown parameters given the measure data incorporated to the prior information using the Metropolis-Hastings MCMC algorithm. In order to compute the likelihood function, which is needed in the MCMC algorithm to sample from the a posteriori distribution, a factor-graph based approach is used.
Robust Virtual Network Mapping Algorithm with Optimal Shared-path Protection

Network virtualization has been proposed as a promising way for running multiple customized virtual networks (VNs) on a shared infrastructure. However, how to provide reliable VN against substrate infrastructure failures has become an increasingly important issue. Meanwhile the substrate network resource cost should be minimized under VN reliability guarantees to maximize the revenue for the Infrastructure Providers (InPs). In this paper, we present a novel heuristic VN mapping algorithm called RVNM, which includes a node mapping scheme based on substrate node reliability awareness and a link mapping scheme based on shared-path protection. Simulation results show that algorithm can improve virtual node robustness without reserving protection resource and gain near optimal network bandwidth usage compared to the previous algorithms.
A Circularly Polarized Microstrip UHF RFID Reader Antenna with the Impedance Match Easily Advantage

A novel square patch RFID reader antenna for UHF band with the impedance match easily advantage is presented in this article. To achieve the circularly polarized (CP) radiation in the target band, the single-feed configurations based on rectangle truncated corners square patch are adopted by this antenna. An annular gap is embedded between the feed point and the square patch to simplify the input impedance matching of the proposed antenna. By adjusting the gap width and inner circle radius to optimize the capacitive reactance of the annular gap, the inductive reactance introduced by the SMA feed probe can be counteracted easily. Moreover, the independence optimization advantage between CP radiation, input reactance matching and input resistance matching are realized by the annular gap. The impedance bandwidth (RL<-20dB) and axial ratio (AR<3dB) bandwidth are 870–978 MHz and 900–930 MHz, respectively.
Combining the Flexibility From Shared Energy Storage Systems and DLC-Based Demand Response of HVAC Units for Distribution System Operation Enhancement

In this study, a direct load control strategy for procuring flexibility from residential heating, ventilation, and air conditioning (HVAC) units and the optimal management of shared energy storage systems connected at different buses of a distribution system is proposed, as a new contribution with respect to earlier studies, aiming to minimize the energy demand during DR event periods. Moreover, an additional objective related to the minimization of the end-users’ discomfort induced by the interruption of the HVAC units is considered, leading to the formulation of a bi-level optimization problem based on a second-order conic programming representation of the AC power flow equations. The effectiveness of the proposed methodology is demonstrated by performing simulations on a test system and comparisons with other approaches.
An Efficient Planning Algorithm for Hybrid Remote Microgrids

This paper presents an efficient planning algorithm for microgrids in remote isolated communities. Different from the existing research that assumes a specific microgrid topology, we propose a planning algorithm that jointly specifies the optimal grid topology, namely AC, DC, or hybrid AC/DC, along with the optimal locations and sizes of distributed energy resources, energy storage systems, and AC–DC converters. The planning objective is to ensure reliable power flow with minimum deployment and operational costs. The planning problem is formulated as a mixed integer nonlinear program, and given the complexity of the problem, the proposed algorithm implements a two-stage framework that results in an efficient planning solution. The first stage deals with the specification of the microgrid topology, and allocation and sizing of all the equipment following a heuristic optimization approach. Upon deciding the microgrid topology and equipment installation in the first stage, the second stage of the planning algorithm ensures smooth and reliable operation for the proposed topology over all possible operation scenarios. This is achieved with minimal operational costs by considering the optimal nonlinear scheduling problem for the installed equipment. Test cases are presented to investigate the performance of the proposed planning algorithm at different fuel transportation cost scenarios.
A Resource Allocation Algorithm Based on DILA for D2D Communication in LTE-A Multi-Cell Network

In the multi-cell scenario of LTE-A system, interference management is an important subject in Device to Device (D2D) communication when the work is in the underlay mode. In this paper, a multi-cell resource allocation algorithm based on DLIA (Dynamic Interference Limitation Region) is proposed for the interference generated between the D2D link and the cellular link. First, for the intra-area interference, the number of multiplexed cellular users is calculated according to the channel state of the D2D user, and the dynamic interference limitation area is obtained. Then, for the inter-area interference, a priority-based FFR(Fraction Frequency Reuse) algorithm is selected to determine the reuse resources, thus determining the multiplexing relationship. Finally, the simulation results show that the proposed algorithm can dynamically allocate resources without limiting the number of reusable resources of D2D users, thus effectively improving the overall capacity of the system.
New Generation Tester to Assess the Electrical Safety in Low-Voltage Distribution Systems

The determination of both magnitude and duration of touch voltages is of paramount importance to protect persons against electric shock hazards, such as those caused by basic insulation failure in equipment/appliances, or direct contact with live parts. The magnitude of touch voltages depends on the impedance of the equipment grounding conductor (EGC) (also referred to as protective conductor), which should be therefore properly sized. In the US, the National Electric Code (NEC) provides minimum sizes for the EGC; however, the NEC further clarifies that the EGC selected in the specific NEC table might need be sized larger to provide adequate electrical safety. In this paper, the authors discuss the major specifications that a “new generation” tester applied to NEC based low-voltage receptacles, or live terminals of feeder/branch circuits, should possess to indicate to users if a ground-fault would cause unsafe touch potentials. Such tester should also unequivocally identify improper wiring of the outlet (e.g., phase-neutral swap, EGC-to-neutral bond).
ECG Signal Denoising using Wavelet for the VLP effective detection on FPGA

The presence of Ventricular Late Potentials (VLP) in an Electrocardiographic signal (ECG) is associated with possible sudden cardiac death, caused by malignant arrhythmia. An effective VLP detection is strongly influenced by the signal noise, thus the ECG needs to be denoised before VLP detection. The objective of this paper is to define a denoising algorithm for enhancing VLP detection in ECGs, useful for implementation on a Field Programmable Gate Array device (FPGA). The method described uses wavelet denoising, implemented as subband coding. The drawbacks of this method are heavy linear distortions undergone by the analyzed signal. This disadvantage is overcome by using an equalization filter for canceling the introduced distortions. The algorithm is defined using MATLAB, then its hardware implementation is designed and simulated in Altera's Quartus software. The synthesized hardware is then verified on the evaluation board DE1-SoC by Terasic, mounting a Cyclone V Intel - Altera FPGA chip. On board processed results and theoretical results are consistent, validating the effectiveness of the designed hardware. Results show that such design could be used for upgrading ECG devices reliability in the field of heart diseases prevention.
Technical Cost of Operating a Photovoltaic Installation as a STATCOM at Nighttime

Reactive power support of photovoltaic farms has been under discussion in several countries. This kind of operation has been proposed because the photovoltaic farm converter is an expensive asset that is often used well below its power rating. This paper proposes a methodology for estimating the reactive power support capability and the associated technical cost of operating a photovoltaic installation as a STATCOM at nighttime. The technical cost is related to the need for buying active power from the grid to compensate for power losses. A precise estimation of this cost is of interest to both photovoltaic farm owners and grid operators to be able to evaluate the economic feasibility of this kind of operation. In order to illustrate the proposed methodology, a 1.5-MWp photovoltaic farm is considered. By evaluating the losses of each component (converter, tie reactor, filter, and transformer), a reactive power support capability map integrating the technical cost for each point of operation is obtained. The analysis outlines key points to operate a PV farm as a STATCOM at nighttime: the system must include a blocking diode, the capability map is asymmetric, an operation with variable dc-link voltage is desirable and can lead to savings of up to 8.9% in comparison with operation at fixed nominal dc-link voltage.
Implementation of Immune Feedback Control Algorithm for Distribution Static Compensator

This paper presents an immune feedback control algorithm for a three-phase distribution static compensator (DSTATCOM) to mitigate several power quality problems such as harmonics, reactive power, and load unbalancing at distribution level. A configuration chosen for DSTATCOM is based on a three-phase voltage source converter (VSC), which is suitably controlled as a shunt compensator for performing these functions. The underlying principle of an immune feedback is based on adaptive control and the designed control estimates fundamental reference grid currents from nonlinear load currents. This control algorithm proposed for DSTATCOM, is validated for maintaining power factor to unity, load balancing, and harmonics reduction of supply currents. An improved performance of immune feedback control is presented along with its comparison with conventional control algorithms such as dq frame, normalized least mean square and other recently developed control algorithms such as leaky least mean square, leaky least mean fourth, and synchronous extraction. Experimental results are obtained with the proposed control, which is tested on a prototype developed in the laboratory using a VSC. It is observed from simulation and experimental results that the proposed control algorithm of DSTATCOM is able to achieve mitigation of most of the power quality problems at the distribution level.
Analysis on the Correlation between Plunge Milling Parameters and Plunge Milling Force and Force Coefficient

In order to optimize plunge process parameters and analyze the relationship between milling parameters and force coefficient under the same processing conditions, a test is designed in this paper to explore the correlation between milling force coefficient and milling speed based on the existing model of milling force and the specific milling conditions. Three-way milling force in this paper are measured under the same cutting condition and different feeding rate when milling three different step holes. Through identify the shear force coefficient and edge force coefficient, this paper explores the correlation between the milling force and milling speed, feed rate and milling depth according to the Pearson correlation. In this paper, an experimental and simulation example of plunge milling aluminum alloy material is given.
Short-Term Scheduling Strategy for Wind-Based Energy Hub: A Hybrid Stochastic/IGDT Approach

This paper evaluates the scheduling problem for energy hub system consisting of wind turbine, combined heat and power units, auxiliary boilers, and energy storage devices via hybrid stochastic/information gap decision theory (IGDT) approach. Considering that energy hub plays an undeniable role as the coupling among various energy infrastructures, still it is essential to be investigated in both modeling and scheduling aspects. On the other hand, penetration of wind power generation is significantly increased in energy infrastructures in recent years. In response, this paper aims to focus on the hybrid stochastic/IGDT optimization method for the optimal scheduling of wind integrated energy hub considering the uncertainties of wind power generation, energy prices and energy demands explicitly in a way that not only global optimal solution can be reached, but also volume of computations can be lighten. In addition, by the proposed hybrid model, the energy hub operator can pursue two different strategies to face with price uncertainty, i.e., risk-seeker strategy and risk-averse strategy. This method optimizes energy hub scheduling problem in uncertain environment by mixed-integer nonlinear programming. This formulation is proposed to minimize the expected operation cost of energy hub where different energy demands of energy hub would be efficiently met. The forecast errors of uncertainties related to wind power generation and energy demands are modeled as a scenario, while an IGDT optimization approach is proposed to model electricity price uncertainty.
Handwriting Ownership Recognition using Contrast Enhancement and LBP Feature Extraction based on KNN

Every human handwriting has different characteristics. Computers can be trained to recognize handwritten ownership when they have been digitized. When handwriting is digitized into an image, the written handwriting will be in the zone measured by the unit cell. Each handwriting will have different cell sizes, so it can be used as a very useful feature in the recognition process. The Local Binary Pattern (LBP) is proposed in this study because it can extract the image according to the specified cell size. While K-Nearest Neighbor (KNN) is chosen because it has a simple algorithm by doing the calculation of the nearest distance based on the comparison of training data distance and test data, so it has a fast computation process. Contrast enhancement is also used to be proposed in preprocessing steps that aim to increase the intensity so that features are easier to extract. Thus, this study proposes a handwritten ownership recognition system with feature extraction of LBP and KNN classifier to recognize handwritten ownership. In the experimental stage used handwritten 360 images written by three different people. Where the data set consists of 300 training data and 60 test data. The test results show that the proposed method has a very high accuracy of 96.67%.
Immersive Media for Environmental Awareness

This paper examines the possibility of using virtual or augmented reality to increase environmental awareness and effect change in our behaviour as consumers. It begins by framing the problem as at least partly arising from an imbalance between our powers of influence on the global environment and our powers of perception, and that our inability to see firsthand the impact of our behaviour is an impediment to green consumer behaviour. I examine how the various properties of immersive media might be used to provide us with more omniscient or optimistic perspectives, and close the gulf between our perceived and real powers of agency as environmental actors.
Design of Home Appliance Control System in Smart Home based on WiFi IoT

Aiming at an issue of regional limitation of controlling and monitoring in home appliances, a remote controlling and monitoring system of home appliances is designed, whose core MCU is STM32F103VET6. In the system, hardware is designed by Altium Designer and software is programmed by Keil MDK. Using the China Mobile IoT open platform as a relay server, a handheld control Terminal APP is developed by Android. The system realizes the real-time remote monitoring, reporting and controlling for home appliances through WiFi networking. The trial result indicates that the system operates in stabilization, which can be used to detect the status of home appliances by smart phone or other handheld mobile terminals for home appliances such as electric lamps and air-conditioning.