Miracle-dz/UniFAR-FTUs huggingface dataset:
Crosstalk-Free BPC Semi-Permutation Routing in Optical Multistage Interconnection Networks

A semi-permutation is a partial permutation which meets the requirement of using each switch in the first and last stages of a multistage optical network by only one optical signal at a time. It creates the potential for crosstalk-free routing of the whole permutation but for two cycles of a network. The work is concentrated on semi-permutations received as a result of decomposing BPC (bit-permute-complement) permutations needed in many scientific applications. The given O(NlogN) algorithm makes possible constructing transition matrices for semi-permutations of afore said type basing on periodicity of 1’s and 0’s in columns of the transition matrix for an initial BPC permutation. For routing in accordance with produced matrices modified sliding windows method is used.
A Simple PWM-based Direct Torque Control for Dual Three-phase Permanent Magnet Synchronous Machine Drives

This paper investigates the PWM-based direct torque control strategies for dual three-phase permanent magnet synchronous machine (PMSM) drives. The classical switching-table-based direct torque control (ST-DTC) scheme for dual three-phase drives usually suffers from significant harmonic currents, large torque ripples and variable switching frequency. In this paper, two simple formulae are developed to obtain the amplitude and angle of the torque-production-related reference voltage vectors from the errors of torque and stator flux. To further reduce the harmonic currents caused by machine/inverter asymmetry, harmonic current regulators are employed to generate the harmonic-current-related reference voltage vectors. The specific space vector pulse width modulation (SVPWM) technique is employed to implement the reference voltage vectors. With the proposed method, not only the harmonic currents and torque ripples have been significantly reduced, but also the switching frequency is constant. The experimental results validate the effectiveness of the proposed strategy.
Reliability analysis in intelligent machines

By using concepts from information theory and reliability theory, new techniques are proposed for finding the reliability corresponding to alternative subsets of control and sensing strategies such that a desired set of specifications can be satisfied. The analysis is straightforward provided that a set of Gaussian random state variables is available. An example problem illustrates the technique and provides general reliability results for visual serving with a computed torque control algorithm. <<ETX>>
Marine Target Localization with Passive GNSS-Based Multistatic Radar: Experimental Results

This paper considers passive multistatic radar with Global Navigation Satellite System (GNSS) transmissions (such as GPS and Galileo) for target localization. The paper briefly describes the appropriate signal processing algorithm, which is essentially a multi-lateration technique. However, particular emphasis is given on the experimental confirmation of the system, obtained through a proof-of-concept experimental campaign where a marine target was simultaneously detected by 11 transmitters and a single receiver.
Low-Complexity Reduced-Dimension Space–Time Adaptive Processing for Navigation Receivers

In this paper, we propose a low-complexity adaptive reduced-rank interference suppression scheme based on alternating low-rank decomposition techniques for navigation receivers. The proposed scheme, which employs a generalized sidelobe canceler structure, makes use of a projection matrix for rank reduction followed by a reduced-dimension receive filter. An alternating optimization strategy based on recursive least squares is devised to compute the basis vectors of the projection matrix and the receive filter adaptively. Simulation results show that the proposed algorithm achieves a better performance than existing methods with a reduced computational complexity.
Master-Slave Control of Parallel-Operated Interfacing Inverters Based on Wireless Digital Communication

Parallel-operated inverters with common dc and ac bus can be used as interface of PV system connecting to public ac grid. This paper presents a parallel-operated gird-tied inverter system with master-slave current-sharing control based on wireless digital communication. Firstly, the proposed master-slave control scheme is introduced. Current reference of slave modules are all given by the master module through wireless digital communication. Thus the load can be evenly shared among the modules and dc link voltage can be regulated by the sole voltage controller in master module. Secondly, the influence of communication delay and zero-order-hold on the parallel-operated inverter system is analyzed. And a design criteria to reduce the influence of wireless digital communication is studied and determined. Performance of proposed control structure and design criteria are experimentally verified. With the proposed structure, the parallel inverter system is robust, the voltage regulation and load sharing are achieved, with improved modularity and operation flexibility.
Sentiment Classification Based on Clause Polarity and Fusion via Convolutional Neural Network

This paper presents a novel sentiment classification method based on the clause polarity and fusion via convolutional neural network. Firstly, the sentiment polarity of multiple clauses that make up the original sentence are calculated by the neural network, then the outputted polarity of the clauses are merged by polarity fusion rules to calculate the sentiment polarity of the original sentence. Unlike traditional convolutional neural network which focuses on the most critical sentiment features of a sentence, the model proposed in this paper could consider the effect of sentiment features in each clause on the classification results. It will make the model more effective on the complex classification scene such as the fine-grained sentiment analysis. The experiments results on the two public datasets as SST-1 (5-class) and SST-2 (2-class) datasets show that the model proposed in this paper is feasible and effective.
Voxel-Based Extraction and Classification of 3-D Pole-Like Objects From Mobile LiDAR Point Cloud Data

The digital mapping of road environment is an important task for road infrastructure inventory and urban planning. Automatic extraction and classification of pole-like objects can remarkably reduce mapping cost and enhance work efficiency. Therefore, this paper proposes a voxel-based method that automatically extracts and classifies three-dimensional (3-D) pole-like objects by analyzing the spatial characteristics of objects. First, a voxel-based shape recognition is conducted to generate a set of pole-like object candidates. Second, according to their isolation and vertical continuity, the pole-like objects are detected and individualized using the proposed circular model with an adaptive radius and the vertical region growing algorithm. Finally, several semantic rules, consisting of shape features and spatial topological relationships, are derived for further classifying the extracted pole-like objects into four categories (i.e., lamp posts, utility poles, tree trunks, and others). The proposed method was evaluated using three datasets from mobile LiDAR point cloud data. The experimental results demonstrate that the proposed method efficiently extracted the pole-like objects from the three datasets, with extraction rates of 85.3%, 94.1%, and 92.3%. Moreover, the proposed method can achieve robust classification results, especially for classifying tree trunks.
Novel Experimentation of a 10 kW Geared Medium-Speed Wound-Field Flux Switching Wind Generator Drive

A wound-field flux switching machine prototype (WF-FSM) is manufactured and tested for geared medium-speed wind generator drives. The highlight of the study is the promotion of ease in the manufacturing process which incorporates modular structure of the stator laminations, preformation of the DC and AC coils, perforation of the stator and rotor laminations and the implementation of a hub rotor frame. Beyond these, it is the first time an experimental test is being undertaken at this scale (10 kW power and 0.6 m diameter) on the studied WF-FSM variant. Based on various experimental tests, the confidence level of the finite element analysed model has been established, and a simple manufacturing approach for industrial-scale designations has been set forth.
AlGaN/GaN HEMT micro-sensor technology for gas sensing applications

Wide bandgap gallium nitride material has highly favorable electronic properties for next generation power and high frequency electronic devices. A less widely studied application is highly miniaturized chemical and gas sensors capable of operating in harsh environment conditions. In this work we present our recent developments on design, fabrication and testing of AlGaN/GaN high electron mobility transistor (HEMT) based sensors for detection of various gases. First, the method of as-fabricated device baseline value stabilization is demonstrated. Secondly, the impact of sensor design is discussed with the emphasis on gate electrode geometry optimizations to enhance sensing performance. Then we present the sensing characteristics of Pt-HEMTs towards H2S and compare them to H2 and NO2. Finally we demonstrate recent results of NO2 detection with Ti/Au based HEMT sensors, which are superior to those using Pt based devices.
An Integrated Printed-Circuit-Board Resonator Design for Inductive Power Transfer System

In this paper, we present a printed-circuit-board (PCB) resonator, taking advantage of both winding inductance and intra-winding capacitance of the coil to form a LC resonant circuit. The characteristics of PCB resonator are described. The value of winding inductance and capacitance is obtained, with the aid of an equivalent circuit. The relation between quality factor of the coil and the ratio of inner/outer radius (i.e. Rin/Rout) is investigated to optimize the resonator design. The new structure has great potential to be employed into many inductive power transfer (IPT) systems. Several planar PCB resonators of resonant frequency around 1 MHz have been successfully built and tested. Performance of the resonators consistently agree with theoretical prediction.
Dead-Time Compensation with DC Offset Current Elimination Method Using Three-Level Operation for Dual Active Bridge DC-DC Converter

This paper proposes a compensation method of a non-linear transmission power error caused by a dead-time for a dual active bridge (DAB) converter with a three-level operation. This power error is compensated by the zero-current period longer than the dead-time in three-level mode. In addition, the mode change sequence between the two-level and the three-level is also proposed to suppress a dc offsets on the transformer current. The validity of the proposed method is confirmed by a 2.5-kW prototype. As the experimental results, the transmission-power error is reduced by 80.7%. In addition, the peak value of the magnetizing current at the transient state is reduced by 56% because the dc offset is eliminated. Moreover, the mode changing is achieved within two switching periods.
Multi-Ships Tracking Based on Probability Hypothesis Density Filter with Unknown Birth Intensities

Recently, the developments of tracking systems have been significantly improved for ships tracking. Traditional approaches adopts a divide-and-conquer strategy, in which data association becomes quite challenging to collect right measurements in high density clutter environments. In this paper, a novel approach using Probability Hypothesis Density (PHD) filter is proposed for ships tracking, in which targets states are estimated based on set-valued measurements. Furthermore, the proposed solution also avoids the requirements of the prior parameters in the PHD filter, with respect to the birth intensities. During the tracking phase, the point matching method is also utilized to distinguish the ships and non-interested targets between consecutive frames, where the unchanged topology information is then utilized to initialize the birth intensities in the PHD filter.
A Domain-Specific Approach to Unifying the Many Dimensions of Context-Aware Home Service Development

Developing context-aware homes involves a range of stakeholders, addressing many dimensions such as service design and development, infrastructure deployment, and maintenance. Such a variety of dimensions often translate into heterogeneous, low-level, silo-based processing of sensor data to extract context information. This paper analyzes a range of existing data processing layers in the domain of aging in place to identify key concepts and operations specific to context-aware processing. Based on this analysis, we introduce a context-aware, domain-specific language and its software architecture, which allow to put in synergy the stakeholders of a context-aware home by providing them with a unified approach to designing and developing services. Our approach offers context aware-specific abstractions and notations, within a data-centric and data-driven paradigm. We have validated our approach by applying it to an assisted living platform for aging in place, deployed in the home of 129 users. In particular, we used our domain-specific language to re-implement 53 existing services, originating from the stakeholders of the assisted living platform. These services were deployed and successfully tested for their effectiveness in performing the specific tasks of the stakeholders, such as detection of daily activities, user risk situations, or sensor failures.
Toward Ubiquitous Environment: An Scalable Framework for Autonomous Service Composition

In ubiquitous environment, there are various services pro-vided by different underlying devices, which need cooper-ate together with not only the correct functional workflow, but also the non-functional composition quality. In this pa-per, we propose an integrated and scalable framework for quality of services (QoS) aware autonomous service com-position. In addition to QoS, we also consider the execution cost in the composition which can be reflected on the num-ber of services. It consists of three stages: 1) construction of the dependency graph that descripts the relations among corresponding services for a specific request; 2) QoS aware graph pruning, is divided into strict strategy and loose strategy; 3) composition solution search, including greedy near-optimal search based on strict pruning strategy and global optimal search based on loose pruning strategy. Ex-perimental results prove that our framework outperforms other selected algorithms or frameworks in composition effect and processing efficiency, especially when processing large scale services.
Fuzzy Connectives for Efficient Image Reduction and Speeding Up Image Analysis

We discuss non-monotone fuzzy connectives in large-scale image processing. We present an image reduction algorithm capable of differentiating between fine image details and noise in the image, particularly salt and pepper noise. The reduction algorithm is based on mode-like averaging functions. We compare the performance of the proposed method to the alternative reduction methods on artificial images and on two case studies: content-based image retrieval and pedestrian detection. Our algorithm improves the speed of the subsequently applied image analysis methods and allows efficient filtering of salt and pepper noise. Applications to on-board image recognition in autonomous robotic devices are envisaged.
AC Loss Simulation of High Temperature Superconducting Current Leads with Non-sinusoidal Current Waveform

When high temperature superconducting (HTS) current leads (CL) carry AC transport current, AC loss occurs. For the HTSCLs of fault current Iimiter (FCL), fusion magnet and superconducting energy magnetic system (SMES), their transport current are non-sinusoidal waveform of which AC loss are difficult to be estimated. It is important to analyze the AC loss of HTSCLs with non-sinusoidal current wave. In this paper, we firstly proposed two kinds structure of HTSCLs and then calculated the AC loss of them with the specific current waveform by using finite element method (FEM) software COMSOL. Finally the AC loss results of these two structures of HTSCLs were compared and analyzed to select the preferred structure.
Design Considerations of Heat Guides Fabricated Using Additive Manufacturing for Enhanced Heat Transfer in Electrical Machines

This paper investigates a new heat extraction approach in application to the high-specific-output electrical machines. The proposed technique employs thermally conductive heat guides (HGs) to provide supplementary heat evacuation paths for the machine regions, which are particularly susceptible to high power loss. Here, the research focus has been placed on the stator-winding assembly. The HGs investigated in this work rely solely on conductive heat transfer, in contrast to the solutions involving working fluid phase change, e.g. heat pipes (HPs). It is intended for the HGs to be an integral part of the stator-winding assembly, e.g. HGs incorporated in the winding active and/or end region. Such arrangement however, imposes several design challenges. These are related with the HGs being a source of additional power loss due to the machine's magnetic flux leakage. The objective of this study is to evaluate a concept of HGs, which are ‘immune’ to the external magnetic field with ‘good’ heat transfer capability. To facilitate that, a combination of detailed multi-physics design-optimization together with modern additive manufacturing, i.e. selective laser melting (SLM) method, has been employed here. The theoretical analysis has been supplemented with experimental body of work. A number of stator-winding hardware exemplars (motorettes) incorporating alternative HGs designs have been fabricated and tested. The research findings show that the optimised HGs allow for 30% improvement in dissipative heat transfer from the winding body and insignificant additional power loss, for the analysed stator-winding assembly.
Investigation of Amplifier and Rectifier Performance for SWIPT Systems

In this paper, an X-band MMIC amplifier for microwave communication and power transmission system was demonstrated. The measured PldB output power of 29.3 dBm with PAE around 46% was obtained at 9GHz. The amplifier was also characterized as a rectifier, the rectifier exhibited an RF-DC conversion efficiency of 65% at 9GHz. For future application of the simultaneous microwave communication and power transmission system, the input signals shall be modulated. The RF-DC conversion efficiency of a rectifier with CW and modulated signals was analyzed and clarified. It is more advantageous to improve the efficiency of the rectifier by selecting modulation signals with higher bandwidth utilization and lower peak-to-average ratio.
Synthesis of Signals with a Low-Level of Out-of-Band Emission and Peak-to-Average Power Ratio

In this paper new pulse shapes of multicomponent signals are presented to improve spectral efficiency. We propose a solution to an optimization problem for obtaining optimal pulse shapes. The optimization problem is expressed by the restriction of out-of-band emission and the restriction of the peak-to-average power ratio (PAPR) magnitude. It was shown that using multicomponent signals with optimal pulse shapes allows to improve spectral efficiency.
A Modeling Technique for Designing High-Frequency Three-Phase Common-Mode Inductors

Switching speed of the next-generation power devices based on the wide-bandgap semiconductors such as silicon carbide and gallium nitride are more than ten times faster than the conventional silicon insulated-gate bipolar transistors. This may increase frequency ranges of electromagnetic noise accompanied by switching operations of power converters. Besides, the operating frequency ranges of noise filters are limited due to frequency dependencies of magnetic materials and parasitic components of passive components, thus, the realization of the high-frequency (HF) noise filter with the operating frequency range beyond several ten megahertz is difficult. This paper presents a modeling technique for estimating the operating frequency range of the HF three-phase common-mode (CM) inductors. The proposed method includes a novel simple estimation technique of winding stray capacitance. The CM impedance measurement results validate that the proposing model can estimate the operating frequency range of the HF three-phase CM inductor while securing practically sufficient precision at the design-stage.
Non-Rigid Image Registration with Spatial Structure Preservation

We propose a new non-rigid image registration method with spatial structure Preservation. We added two spatial constraints in the regularization term to maintain the spatial structure in iterations. We tested the proposed method's performance in remote sensing images and low-altitude aerial images, comparing it with three state-of-the-art methods. The results of the experiment show that our method shows the better performance in most cases.
A Zero-Voltage-Switching Three-Phase Four-Wire Four-Leg Rectifier

Three-phase four-wire four-leg rectifier are used in Uninterruptible Power Supply, battery energy storage systems, interface between an AC gird and DC grid etc. A novel zero-voltage-switching (ZVS) three-phase four-wire four-Leg rectifier is proposed in this paper. With the installation of an auxiliary resonant circuit and proposed PWM modulation scheme, all the switches in the three main legs, the balancing leg and the auxiliary circuit can realize ZVS operation. The ZVS-SPWM scheme for the rectifier is introduced and the ZVS condition for the rectifier is derived. Then the design of resonant parameters is discussed. Finally, the proposed circuit with ZVS-SPWM method is verified by the experiment.
New No-isolated Interleaved Bidirectional soft-switching DC-DC Converter with a Novel Auxiliary ZVT Cell

An interleaved bidirectional soft-switching dc-dc converter with a novel auxiliary zero-voltage-transaction (ZVT) cell is proposed in this paper. Two main switches realizes zero-current-switching (ZCS) turn-on by phase circuits of the converter working in critical conduction mode (C-DCM) in both directions, and realizes ZVT turn-off by proposed auxiliary ZVT cells. Simultaneously, two auxiliary switches achieve ZCT turn-on and small magnetizing-current turn-off. Since the novel auxiliary ZVT cell transferring only the soft-switching energy and not transferring the main power of the converter, the auxiliary ZVT cell can be designed with smaller size and low rated power to achieve the low cost and better efficiency. In addition, the current stress of auxiliary switches can be reduced lower than the load current with no any additional voltage stress. The operating modes and design of the proposed converter have been discussed in this paper, and simulation and experiments are finally conducted to verify their validity.
Creating Self-Aware Low-Voltage Electromagnetic Coils for Incipient Insulation Degradation Monitoring for Smart Manufacturing

The degradation of key components of production equipment can have adverse effects on manufacturing, such as unexpected machine shutdown and product quality decline. Implementation of self-aware components by prognostics and health management-based cyber-physical systems is a promising technology that can address this problem. This paper developed a precursor-based prognostics method to create self-aware low-voltage electromagnetic coils for incipient insulation degradation monitoring. Electromagnetic coils are fundamental energy conversion and transformation components of a variety of machines, such as electric motors and solenoid valves, and their insulation failure can cause catastrophic effects. Conversion of sensory data to insulation health information and development of a component/cyber-interface for integrating insulation health information to cyberspace are described. This method presents opportunities for companies to develop transparency and thus predictive maintenance of machines that incorporate electromagnetic coils.