Miracle-dz/UniFAR-FTUs huggingface dataset:
Extraction of the Resonator's Reactance/Susceptance Slope Based on EM Simulation

In this article a simple approach is proposed for extracting resonator's reactance/ susceptance slope. The approach is based on the frequency response of a weak port coupling. The principles and steps are described in details. The approach's effectiveness is demonstrated through several examples. It is shown that the proposed approach has high accuracy and can be utilized to determine the reactance/ susceptance slope of resonators with complicated structure. To the authors' knowledge, the numerical method of obtaining the reactance/susceptance slope has been discussed for the first time.
Optimal Dead-time Setting and Loss Analysis for GaN-based Voltage Source Converter

The dead-time in voltage source converters can have significant impact on power quality and efficiency, and because these losses scale proportionally with switching frequency, it is important to study the impact of these losses in wide bandgap based converters, like SiC and GaN. This paper focuses on the impact of dead-time on the total loss of a 5 kW, single phase, GaN-based inverter, and an experimental model of dead-time losses for various dead-times was developed based on static and dynamic characterization results. The results show that in a GaN-based voltage source inverter (VSI), a 100 ns dead-time setting can attribute up to 30% additional switching loss and is a strong function of load current level and temperature. A comparison of losses between fixed and adaptive dead-time was studied, and an optimal fixed dead-time setting based on the analysis was implemented and verified in experiment.
A Low-Profile Dual-Polarized Patch Antenna with Bandwidth Enhanced by Stacked Parasitic Elements

In this paper, a low-profile dual-linear polarized patch antenna composed of two stacked substrates, one air gap layer, and one grounded substrate is proposed. There is a feeding patch element with two excited probes placed on the top side of the grounded substrate, and one parasitic patch element and a 2×2 parasitic array patch elements printed on the lower and upper stacked substrate, respectively. The T- and rectangular slots and T-stubs are employed on/near the orthogonal axis of the patches for the impedance matching and two orthogonal polarizations improvement. Furthermore, four stacked complementary split-ring resonators (CSRRs) are loaded in the two stacked substrates mainly to adjust the impedance matching and port isolation with an induced dual-polarized resonance. Thanks to the stacked patches and CSRRs, an enhanced impedance bandwidth from 1.2% to 7.4% was achieved by the introduced three additional dual-polarized resonances. Simulated results show the antenna has a impedance bandwidth across 2.362-2.544 GHz (fractional bandwidth 7.4%), a maximum realized gain of 10 dBi, and port isolation better than 22 dB over the operational bandwidth. In addition, a low profile of 0. 048λo (where λ0is the free-space wavelength at the central frequency) is maintained in the proposed antenna.
Passive Resonant Level Shifter for Suppression of Crosstalk Effect and Reduction of Body-Diode Loss in SiC-Based Bridge Leg

A passive level shifter that can suppress the effect of the unavoidable crosstalk phenomenon in bridge-leg configuration and produce low off-state gate-source voltage to result in low body-diode forward voltage of SiC MOSFETs will be presented. Its structure consists of two main parts. The first one is a passive level shifter that can give a static negative gate-source voltage upon turning off the SiC MOSFET. The second one is a resonant tank that can produce voltage pulses to lower the spurious triggering pulses to a level below the gate-source threshold voltage, thereby avoiding spurious triggering. The proposed level shifter is simple and does not require any extra voltage source and switching network. Its performance has been evaluated on a 1kW SiC-based H-bridge inverter. Experimental results show that the total loss of the inverter can be reduced by 16.43% with the level shifter.
Materialized Graph Index Structure for Fast K-NN Query Based on Distributed Sparse Matrix Multiplication

Graph data is used in a variety of applications. For example, in location-based services, k-NN queries for finding nearby POIs are very frequently used. Therefore, we design a materialized graph index structure for efficient query processing of graph data. The graph index is constructed by using a sparse matrix multiplication of a parallel array database. To verify the efficiency, we compared the proposed method with those of CombBLAS and Gemini in terms of kNN query processing time. As a result, despite using disks, our method improves performance 24 and 3.9 times compared to those of CombBLAS and Gemini for k-NN query processing, respectively.
Multiple Objects Detection using HSV

In this research detection and differentiation between multiple objects is done in real time. Images were captured using SainSmart wide angle camera and image processing was done using Raspberry Pi 3 Model B. Optimization was accomplished by increasing the number of threads being managed within the algorithm. In this paper the image processing algorithm used to detect and differentiate between multiple colored targets is described. This algorithm involves the development of software which captures and filters the color data contained within an image.
Time-Frequency Analysis of the Chirp Response for Rapid Electrochemical Impedance Estimation

Fuel cell fault diagnostics has been the focus of numerous research efforts. These efforts seek to address the durability concerns that continue to hinder the penetration of such an attractive energy source. A tool that has gained popularity for diagnostics and characterisation, is the Electrochemical Impedance Spectroscopy (EIS). Information derived from the EIS provides relevant details on the electrochemical characteristics of the system which aid diagnostics. However, classical EIS, implemented using sinusoidal perturbations takes a long time making it unsuitable for real-time measurement. This work seeks to address the challenge by investigating the use of a frequency-rich signal - a chirp. Furthermore, the use of the wavelet transform as an analysis tool of choice is presented. The characteristic nature of the chirp signal makes for a broadband frequency sweep over time possible, hence enabling a faster impedance estimation. Useful information is gained by the localisation of the signal vectors in both the time and frequency space employing the continuous wavelet transform for analysis and the resulting decomposition is then harnessed for impedance calculation. This approach is first tested in simulation and results for equivalent circuit are shown. It is shown that the generated impedance well approximates the theoretical values. Various condition to be observed regarding the proposed techniques are also discussed. The technique is then further tested on a developed rig to demonstrate its practical use and results show good performance relative to commercial frequency response analyser (FRA) implementing the single sine technique while enabling a short-time measurement.
Development of K Band FMCW Radar Signal Source

This paper introduces a PLL-based FM CW radar signal source design. First, the composition of the phase locked loop is introduced, the corresponding circuit design is given, then the corresponding mathematical model is set up. Finally, two important loop parameters are analyzed: phase noise and spurs, and a method of suppressing spurs is given. The test results show that the phase noise of the system is better than -100dBc / Hz @ 100KHz at $24\mathrm{GHz}\sim 24.12\mathrm{GHz}$, the spurious suppression is better than -86dBc and the output power is more than 8dBm, the feasibility of this scheme is verified.
An Improved Weighted Local Linear Embedding Algorithm

Local linear embedding has the characteristics of nonlinearity and simple implementation, but it cannot accurately handle the selection of neighborhoods under the conditions of noise, large curvature and sparse sampling. To solve this problem, an improved weighted local linear embedding method (WLE-LLE) is proposed. In WLE-LLE, the dimensionality reduction objective function is reconstructed by utilizing Laplacian Eigenmaps, which can effectively represent the manifold structure of nonlinear data. Theoretical analyses show the proposed method is better than LLE algorithm in preserving the original manifold structure of the data. And numerical experiments show its classification recognition rate is greatly improved, which is 2%-8% higher than LLE.
Type Conversion Sequence Recommendation Based on Semantic Web Technology

As the software systems are becoming more and more complicated, developers have an increasing dependency on code recommendation tools to assist them to fulfill their development tasks. However, the current historical-code-based recommendation methods are directly affected by the quality of the historical codes and the program-environment-information-based recommendation methods cannot provide satisfactory recommendation results for static methods because it is difficult to know all possible static members only using the program context, and even if we know all the static members, we still cannot add all of them to the entry point for search because its large number may cause a space explosion. In this paper, we propose a type conversion sequence recommendation method based on program environment information. Combing with the reachability analysis using semantic Web technology, the proposed method tries to reduce the searching entry points to solve the space explosion problem caused by the recommendation of static methods. We implemented an Eclipse plug-in based on the proposed method and conducted experiments on Tomcat source code. The experimental results showed that the proposed method can not only recommend type conversion sequences with static methods effectively, but also has a higher accuracy for the recommendation of object methods compared with the Eclipse Code Recommenders.
Flux Weakening Control for Synchronous Reluctance Machines Based on Parameters Estimated at Stand-Still

This paper proposes a flux weakening control algorithm for synchronous reluctance machines based on parameters estimated at stand-still. The proposed method consists of two parts, the determination of the flux weakening region and the current reference modification. The flux weakening region can be determined by the angle between the constant torque direction and voltage decreasing direction. The current reference is modified by the magnitude of output voltage and the flux weakening direction considering flux saturation. As a result, the proposed method is more suitable for synchronous reluctance machines than existing flux weakening methods that assume inductances are constant. Experimental results verify the effectiveness of the proposed method.
Design of an omnidirectional arm

A design is presented for a state-of-the-art seven-degree-of-freedom arm consisting of a three-axis shoulder and wrist which are singularity-free and therefore capable of performing any human arm task. An anthropomorphic hand completes the system. Since the shoulder carries the greatest load of all the joints in a robot arm, its potential flexibility is problematic and has been enhanced in this design by the use of an anthrobotic pitch-yaw-roll joint and by placement of all arm motors adjacent to, but not on, the joints themselves. Simplification of the joint through unique kinematics and structure is described. The use of planetary gear systems in the shoulder roll and elbow serves to increase load capacity. <<ETX>>
Detection of DGA Domains Based on Support Vector Machine

Domain Generation Algorithm (DGA) technique has been widely used by botnets as a covert command and control (C &C) channel of issuing control or attack commands through various DGA domains. This method can evade blacklisting detection and bring new challenges to the current detection method. This paper extracts feature set which is helpful to differentiate between malicious DGA domains and benign domains, and uses the Support Vector Machine (SVM) algorithm to train the detection model. Experimental results demonstrate that the detection method proposed in this paper is powerful with a high true positive rate 95% and a low false positive rate 1%.
H2Hadoop: Improving Hadoop Performance Using the Metadata of Related Jobs

Cloud Computing leverages Hadoop framework for processing BigData in parallel. Hadoop has certain limitations that could be exploited to execute the job efficiently. These limitations are mostly because of data locality in the cluster, jobs and tasks scheduling, and resource allocations in Hadoop. Efficient resource allocation remains a challenge in Cloud Computing MapReduce platforms. We propose H2Hadoop, which is an enhanced Hadoop architecture that reduces the computation cost associated with BigData analysis. The proposed architecture also addresses the issue of resource allocation in native Hadoop. H2Hadoop provides a better solution for “text data”, such as finding DNA sequence and the motif of a DNA sequence. Also, H2Hadoop provides an efficient Data Mining approach for Cloud Computing environments. H2Hadoop architecture leverages on NameNode's ability to assign jobs to the TaskTrakers (DataNodes) within the cluster. By adding control features to the NameNode, H2Hadoop can intelligently direct and assign tasks to the DataNodes that contain the required data without sending the job to the whole cluster. Comparing with native Hadoop, H2Hadoop reduces CPU time, number of read operations, and another Hadoop factors.
Partially-Coupled d-q-0 Components of Magnetically-Isolated FSCW IPM Machines in Pre- and Post-Fault Control

Fractional-slot concentrated winding interior permanent magnet (FSCW-IPM) machines have been designed with very low winding mutual inductance for magnetic isolation features required for improving their fault-tolerant capabilities. These magnetically-isolated FSCW-IPM machines no longer adhere to the preconditions required for a conventional abc-to-dq0 transformation. As a result, it is found in this paper that $\boldsymbol {d}-/\boldsymbol{q}$. -axes could couple with 0-axis in magnetically-isolated FSCW-IPM machines. Considering the 2nd-order reluctance component, this phenomenon leads to 3rd-harmonic injection in phase voltages during normal operation, which can be cancelled out in terms of line-to-line voltage for Y-connected three-phase system. For post-fault operation of a three-phase FSCW-IPM machine with winding neutral return path, 0-axis current is non-zero, resulting in the 3rd and 5th harmonic injection in phase voltages. Study shows that the amplitudes of those extra harmonics are determined by both saliency ratio and 0-axis current. For field-oriented control during post-fault operation, the bandwidth of the PI current regulator as well as switching frequency should be carefully determined to be able to take into account the major harmonics injected in phase voltages. Co-Simulation that links the finite element model with the control algorithm has been carried out to show the impact of this phenomenon.
A New Pulse Generator With High Voltage Gain and Reduced Components

This paper proposes a new developed switched-capacitor converter to achieve high-voltage pulses with adjustable voltage level and frequency. The proposed topology generates repetitive high-voltage pulses by using low-voltage power supply with reduced number of components, including power semiconductors and capacitor. Therefore, a converter based on switched-capacitor units with high voltage gain and high efficiency can be achieved. Operation principles and design steps of the converter as well as comparative study with conventional converters are described in this paper. Finally, simulation and experimental results of a two-stage structure of the proposed circuit validate the operation principles and features of this topology.
Single-Layer Substrate-Integrated Waveguide Evanescent-Mode Filter

Single-layer capacitively coupled structure integrated with substrate-integrated waveguide (SIW) is developed to design evanescent-mode bandpass filters. The planar gap-coupled structure is proposed as an alternative for the conventional inductive aperture-coupled one for filter excitation below the cutoff frequency of the SIW. The proposed planar capacitive excitation enables considerable miniaturization and resonates at a small fraction of a 3-D structure’s cutoff frequency. The proposed integration is analytically discussed using lumped-element equivalent circuit accompanied with experimental verification. Measured scattering parameters are compared to those of simulations, which demonstrate good agreement.
Equivalent Parameters of Round and Litz Wire Conductors to Obtain an Equivalent Layer to Accelerate Finite Element Simulations of Wireless Power Transfer System

In Wireless Power Transfer system, the optimization of the electromagnetic coupling is one of the main problems. Since the geometry usually is 3D, closed analytical equations cannot be obtained. Due to the small dimensions of the winding's diameters and the high number of conductors compared to the large size of the coupler, the brute force simulations by Finite Element analysis is not feasible. In this work, a new method to overcome this limitation is proposed that is based on the use of an equivalent layer that behaves as the actual winding. Finite Element Simulations are accelerated by the use of an equivalent conductor with homogeneous current distribution. Skin and proximity losses are accounted by the modification of the conductivity and the complex permeability of the new equivalent conductor meanwhile the field energy is accounted by the real permeability. The new electromagnetic parameters are obtained by means of analytical equations.
W-band High-Gain Magneto-Electric Dipole Antenna Array with Double-Sided Gap Waveguide Feed Network

A W-band magneto-electric (ME) dipole antenna array using a low-loss double-sided gap waveguide (DSGWG) feed network is presented with high gain and wide band performance. The ME dipole antenna element is composed of a DSGWG open slot radiating as an equivalent magnetic dipole and pairs of metallic pins working as electric dipoles. The feed network is composed of DSGWG power dividers, which could reduce transmission loss and improve antenna gain. The simulated results show that the antenna element achieves a gain over 8 dBi from 83 GHz to 115 GHz, and the gain fluctuation is below 3 dB. The $1\times 4$ ME antenna array is also designed with a gain up to 14.8 dBi by reconfiguring ME dipole antenna elements and the feed network.
Tourist Spot Recommendation Applying Generic Object Recognition with Travel Photos

Thanks to the recent spread of smartphones, tablets and digital cameras, people can take photos easily anytime, and anywhere. Therefore, photos can be a tool to record life logs. We can estimate patterns of actions and movements of people by analyzing their photos. Based on this discussion, we are developing a technique to recommend tourist spots based on the estimation of users' preferences of traveling plans from their past personal travel photos by using generic object recognition. We applied a generic object recognition system to acquire keywords of subject information taken in the photos and represented the co-occurrence of the keywords by a graph visualization technique. This paper presents our travel recommendation technique and a visual user interface that represents a graph with travel photos based on our graph visualization technique. This paper also introduces our case study with real travel photos.
Object Movement Detection by Real-Time Deep Learning for Security Surveillance Camera

Developing a smart Web Video Player application connected to a security surveillance camera to keep track of the object of interest is an ongoing research. This paper presents a methodology to real time data mining of the sequence of frames from a live stream collected by security camera by processing trajectories of an object of interest. Two classifiers and a clustering method are implemented all working in real-time. Real-time Deep Learning and Support Vector Machines (SVM) machine learning algorithms are implemented on a local server without the use of cloud computing. This is a popular architecture for many buildings and industries who want to have an in-house smart security camera application.
Complete Genome Sequence of the Soil Bacterium Pseudomonas kribbensis Strain 46-2T

Pseudomonas kribbensis is a novel species belonging to the Pseudomonas fluorescens intrageneric group of the genus Pseudomonas. Herein, we report the complete genome sequence of strain 46-2T, isolated from garden soil in Daejeon, South Korea. ABSTRACT Pseudomonas kribbensis is a novel species belonging to the Pseudomonas fluorescens intrageneric group of the genus Pseudomonas. Herein, we report the complete genome sequence of strain 46-2T, isolated from garden soil in Daejeon, South Korea. The 6.32-Mb chromosome contains 5,626 coding sequences with a G+C content of 60.55%.
Development of a Small Underwater Robot for Archaeological Survey in Fluctuating Water-Flow Environments

This paper reports the development and experimental validation of a small underwater robot for archaeological survey under fluctuating water-flow conditions. Our research team has been investigating the Tsuzuraozaki underwater site at a depth of 50 - 70 m in the northern part of Lake Biwa, Japan. We proposed and developed the underwater robot with eight thrusters and mechanical contact rods to stabilize the robot's position at the bottom of the lake. The robot is also equipped with high definition cameras to estimate the size and shape of archaeological objects. We conducted field experiments and found several archaeological objects in Lake Biwa to demonstrate the effectiveness of the developed robot.
In-situ incubation of a coral patch for community-scale assessment of metabolic and chemical processes on a reef slope

Anthropogenic pressures threaten the health of coral reefs globally. Some of these pressures directly affect coral functioning, while others are indirect, for example by promoting the capacity of bioeroders to dissolve coral aragonite. To assess the coral reef status, it is necessary to validate community-scale measurements of metabolic and geochemical processes in the field, by determining fluxes from enclosed coral reef patches. Here, we investigate diurnal trends of carbonate chemistry, dissolved organic carbon, oxygen, and nutrients on a 20 m deep coral reef patch offshore from the island of Saba, Dutch Caribbean by means of tent incubations. The obtained trends are related to benthic carbon fluxes by quantifying net community calcification (NCC) and net community production (NCP). The relatively strong currents and swell-induced near-bottom surge at this location caused minor seawater exchange between the incubated reef and ambient water. Employing a compensating interpretive model, the exchange is used to our advantage as it maintains reasonably ventilated conditions, which conceivably prevents metabolic arrest during incubation periods of multiple hours. No diurnal trends in carbonate chemistry were detected and all net diurnal rates of production were strongly skewed towards respiration suggesting net heterotrophy in all incubations. The NCC inferred from our incubations ranges from −0.2 to 1.4 mmol CaCO3 m−2 h−1 (−0.2 to 1.2 kg CaCO3 m−2 year−1) and NCP varies from −9 to −21.7 mmol m−2 h−1 (net respiration). When comparing to the consensus-based ReefBudget approach, the estimated NCC rate for the incubated full planar area (0.36 kg CaCO3 m−2 year−1) was lower, but still within range of the different NCC inferred from our incubations. Field trials indicate that the tent-based incubation as presented here, coupled with an appropriate interpretive model, is an effective tool to investigate, in situ, the state of coral reef patches even when located in a relatively hydrodynamic environment.