Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of a synthetic vision overlay for UAV autoland monitoring

For Unmanned Aerial Vehicles (UAVs), autonomous forms of autoland are being pursued that do not depend on special, deployability restraining, ground-based equipment for the generation of the reference path to the runway. Typically, these forms of autoland use runway location data from an onboard database to generate the reference path to the desired location. Synthetic Vision (SV) technology provides the opportunity to use conformally integrated guidance reference data to 'anchor' the goals of such an autoland system into the imagery of the nose-mounted camera. A potential use of this is to support the operator in determining whether the vehicle is flying towards the right location in the real world, e.g., the desired touchdown position on the runway. Standard conformally integrated symbology, representing e.g., the future pathway and runway boundaries, supports conformance monitoring and detection of latent positioning errors. Additional integration of landing performance criteria into the symbology supports assessment of the severity of these errors, further aiding the operator in the decision whether the automated landing should be allowed to continue or not. This paper presents the design and implementation of an SV overlay for UAV autoland procedures that is intended for conformance and integrity monitoring during final approach. It provides preview of mode changes and decision points and it supports the operator in assessing the integrity of the used guidance solution.
A study on the Distance and Frequency Variable Characteristics of Flat Plate Induction Heating Element

Induction-heated system is innovative system which applied IH(Induction Heating) magnetic induction heating generated from induction-heated metallic package and high-frequency power circuit technique for thermal converse technique. In this occurs not burning, so that the working environment and deterioration of products can be improved. This technique is used high frequency inverter. By using high frequency inverter high frequency in the range of kHz can be made with conventional alternative current. In this contribution IGBT module is used for high frequency inverter. In this paper are discussed analysis of characteristics according to the each frequency and produced Flat plate induction heating system using 1.5kW-class half-bridge resonant inverter. In addition, operating characteristics of the system to changes in the distance between the coil and the heater, applications of system are also discussed.
Realization of dual‐dipole‐antenna system for concurrent dual‐radio operation using polarization diversity

The study of the mutual coupling between the two simple strip dipole antennas is first carried out and investigated. The results show that the coupling or the antenna port isolation is almost separation distance independent when the two dipole antennas are arranged to be of orthogonal polarization. Following this characteristic, a novel dual‐dipole‐antenna system aimed for concurrent 2.4 and 5 GHz band operation and at the same time, to achieve very compact integration of two individual antennas with separate feeds is proposed. The two dipole antennas are etched on a two‐layered dielectric substrate with dimensions 30 mm × 30 mm. On the front layer is put the 2.4 GHz dipole, which is perpendicular to the 5 GHz dipole located on the bottom layer. Though the two dipoles are stacked up with a distance of 0.8 mm only, port isolation can still be below −15 dB. The proposed dual‐dipole‐antenna system is a promising candidate for the antenna solution that enables simultaneous dual‐radio operation. © 2009 Wiley Periodicals, Inc. Microwave Opt Technol Lett 51: 1725–1729, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.24421
Prediction of Surface Roughness in the End Milling Machining Using Fuzzy Rule-Based

In the experiment, 24 samples of data has been tested in real machining by using uncoated, TiAlN coated, and SNTR coated cutting tools of titanium alloy (Ti-6Al-4v). The fuzzy rule-based model is developed using MATLAB fuzzy logic toolbox. Rule-based reasoning and fuzzy logic are used to develop a model to predict the surface roughness value of end milling process. The process parameters considered in this study are cutting speed, feed rate, and radial rake angle, each has five linguistic values. Nine linguistic values and twenty four IF-THEN rules are created for model development. Predicted result of the uncoated, TiAlN coated, and SNTR coated has been compared to the experimental results, and it gave a good agreement with the correlation 0.9842, 0.9378 and 0.9845, respectively. The differences of the uncoated, TiAlN coated, and SNTR coated between experimental results and predicted results have been proven with estimation error value 0.00025, 0.0015 and 0.0008, respectively. It was found that by applying SNTR coated cutting tools with the recommended combination of linguistic values might gave best surface roughness values.
Acceleration measurement with an instrumented pen for signature verification and handwriting analysis

Consideration is given to the problem of measuring the acceleration produced by hand-pen movements while one is signing with an accelerometer pen. Acceleration signals are characterized in terms of frequency, phase, and amplitude. This characterization makes possible the extraction from the accelerometer output those signal components relevant to the handwriting process. Electronic circuits are described which automatically extract these components and obtain a fully characterized handwriting acceleration signal. >
Compact and high selectivity dual-band dual-mode microstrip BPF with single stepped-impedance resonator

A novel dual-band dual-mode microstrip bandpass filter (BPF) with compact size and high selectivity performance is proposed using a single short-stub-loaded stepped-impedance resonator (SIR). Owing to the source-load coupling and the intrinsic characteristics of the SIR, five transmission zeros can be generated near the passband edges and in the upper-stopband to improve the selectivity. A dual-band filter located at 1.57-GHz (GPS application) and 5.35-GHz (WLAN application) has been designed, fabricated and measured. Good agreement between simulation and measurement verifies the validity of this design methodology.
Hard Content, Fab Front-End: Archiving Websites of Dutch Public Broadcasters

Although there are a great variety of web archiving projects around the world, there are not many that focus explicitly on websites of broadcasters. The reason is that funds are often lacking to do this, and that broadcaster websites are difficult to archive, due to their dynamic and audiovisual content. The Netherlands Institute for Sound and Vision, with its collection of over 800,000 hours of audiovisual content has been involved in a small-scale research project related to web archiving since 2008. When Sound and Vision was approached by Dutch public broadcaster NTR to archive four of its websites, it was decided to start a collaborative pilot project that focused both on learning more about archiving broadcaster websites and developing a clean and modern public access interface. The main lesson learned from this pilot is that to archive highly dynamic and AV-heavy broadcaster websites it is vital to use supplementary capture tools and manual archiving of this ‘difficult’ content. Furthermore, since the focus of web archiving projects is usually not on a good-looking front-end, the wheel had to be partly re-invented by involving various stakeholders and determining the most important requirements. The first version of the web archive was evaluated by various prospective target users. This evaluation revealed that the participants indeed appreciated the look and speed of the web archive, and that users needed to be made more aware of the web archive's purpose and limitations. The work will be continued and scaled up, by archiving more broadcaster websites, continuing the research on how best to capture and make accessible dynamic and AV content, and by creating standard practices for making the web archive publicly available.
Research of Tool Wear Condition Recognition Diagnosis System Based on the Machined Workpiece Surface Texture Image

Aiming at the machined workpiece surface texture images,some technology about image pre-processing and the texture feature extraction based on gray level co-occurrence matrix are researched. Then it is time for the analysis of the texture characteristic parameters based on BP neural network and the identification and diagnosis of tool wear state, Finally the recognition diagnosis system interface is designed by Matlab-GUI.System simulation shows that the interface fusion of image processing and neural network is a good way to ensure the realization of tool wear condition recognition,what’more, the identification diagnosis rate is profect.
Simultaneous application of multi-type FACTS devices to the restructured environment: achieving both optimal number and location

A novel method based on genetic algorithm is proposed to find the location, the operating point as well as the number of multi-type FACTS devices in the restructured environments simultaneously and optimally. This method comprises two separate algorithms and takes the advantages of a proposed heuristic search manner, which can decrease considerably the feasible search space. A desirability criterion is proposed to evaluate the suitability of the results. The objective function of the combinatorial optimisation problem is designed such that the nodal prices along with their standard deviation are decreased effectively. A new model, average-neural lossy model is used for FACTS devices, STATCOM and SSSC, which takes the converter power losses into account and thus produces the required PQ-phasor to evaluate STATCOM and SSSC in steady-state situation. The proposed method is appropriate for medium and large-scale systems and its effectiveness is demonstrated by the test results.
Neural Networks as Decision Support System for Energy Efficient Building Design

This paper outlines the possibility of the application of neural networks to energy efficient building design. The case of thermal design of building elements has been chosen as an illustration. The neural network employed for this purpose is feed forward, non-recurrent, and multilayered. The training of neural network is based on the back propagation algorithm. The network was trained for an input set of desirable thermal parameters namely thermal transmittance, time lag and decrement factor. The output parameters constituted the material and section properties of the building element. Once trained, the net was then tested for the patterns for which it had not been trained, and the error percentage was found to be within a permissible limit.
Application of Static Compensators in Small AC Systems

In the small stand alone power systems, the dynamic characteristics are much different from those that occur in large, multigenerator power systems. This can restrict the maximum power transfer capability. Capacitor banks are currently used in some cases to increase the transfer capability of the system. These capacitor banks, however, can cause reliability problems. FACTS devices have been widely usedin large systems as improved VAR sources. This paper presents a mathematical model to simulate the behavior of the small AC system and investigates the ability of modern power electronic compensators to improve performance of these systems.
Self-Supervised Learning and Network Architecture Search for Domain-Adaptive Landmark Detector

Fine-tuning a deep convolutional neural network (DCN) as a place-class detector (PCD) is a direct method to realize domain-adaptive visual place recognition (VPR). Although the PCD model is effective, a PCD model requires considerable amount of class-specific training examples and class-set maintenance in long-term large-scale VPR scenarios. Therefore, we propose to employ a DCN as a landmark-class detector (LCD), which allows to distinguish exponentially large numbers of different places by combining multiple landmarks, and furthermore, allows to select a stable part of the scenes (such as buildings) as landmark classes to reduce the need for class-set maintenance. However, the following important questions remain. 1) How we should mine such training examples (landmark objects) even when we have no domain-specific object detector? 2) How we should fine-tune the architecture and parameters of the DCN to a new domain-specific landmark set? To answer these questions, we present a self-supervised landmark mining approach for collecting pseudo-labeled landmark examples, and then consider the network architecture search (NAS) on the LCD task, which has significantly larger search space than typical NAS applications such as PCD. Extensive verification experiments demonstrate the superiority of the proposed framework to previous LCD methods with hand-crafted architectures and/or non-adaptive parameters, and 90% reduction in NAS cost compared with the naive NAS implementation.
Repair simulation with image processing and artificial intelligence

Defect-free mask is a dream of mask makers. Repair technology [1] that removes defects on Att. PSM is getting more attentions than ever. Therefore the fast and precise verification of repaired results is highly required. Most confirmation methods are carried out by using the inspection system because it is faster than AIMS to verify the repaired results. However, the accuracy of the verification using the inspection system cannot be compared to it with AIMS in the view of printability. In this paper, the results of optical simulation using top-down repair image are compared with those of AIMS for rapid confirmation of repaired results with competitive accuracy. Also, neural network which can compute the complex non-linear relationships easily are used to increase the accuracy of repair simulation.
Protection Coordination for Distribution Systems in Presence of Distributed Generators

Abstract Coordination among protective devices in distribution systems is affected by inserting distributed generators. This is attributed to the changes in power flow in addition to the changes of magnitudes and directions of fault currents, which cause mis-coordination between protection devices. This article presents a new protection coordination to overcome the impacts of distributed generator units and to avoid the mis-coordination problem. The proposed protection coordination depends on activating the directional protection feature, which is available in most modern microprocessor-based reclosers. This will be accompanied by updating relays and recloser settings to achieve the correct coordination without extra costs or equipment in the distribution system when equipped with an autorecloser. A real 11-kV feeder, simulated by the ETAP package (ETAP, Irvine, California, USA), is used to prove the effectiveness of the proposed protection coordination. The results ensure the possibility of achieving proper coordination between protective devices after inserting distributed generator units if suitable settings of these devices are realized.
Evaluating On-Line Technology to Support Students Studying Engineering Management in Summer Semester

An undergraduate engineering management unit was offered over summer semester in a time-shortened, off-campus mode only for the first time. To support students, an on-line unit site was created. An evaluation exercise was undertaken to assess the effectiveness of this arrangement, to identify what types of on-line resources students rated as important, and to identify those on-line resources that students actually used in their summer semester studies. The exercise and results obtained are presented in this paper.
Fabrication of unequal channel spacing arrayed-waveguide grating multiplexer modules

16-channel arrayed-waveguide grating multiplexer modules with unequal channel spacing have been fabricated using SiO/sub 2//Si waveguides. The authors obtained a crosstalk of <-25 dB to neighbouring and all other channels. The fibre-to-fibre losses for 16 ports range from 2.8 to 3.1 dB and the polarisation dependencies are <0.007 dB.
Determination of Road Deflections from Traffic Induced Accelerations

ABSTRACT Vertical elastic pavement deflections from moving vehicles provide valuable information for assessing the structural behaviour of a road under real loads. Various types of sensors can be installed in a road for deflection monitoring. This paper explores the use of accelerometers. It discusses the problems involving the calculation of deflections from measured acceleration by double integration due to the amplification of measurement errors in the acceleration signal. It proposes a simple algorithm to correct integration errors and obtain deflections from acceleration measurements. It also presents a laboratory testing method to evaluate the performance of two accelerometers for their suitability in road applications. In addition, using a selected accelerometer, pavement deflections at a wheel tracking test site are calculated and discussed.
Cognitive automation strategy for reconfigurable and sustainable assembly systems

Purpose – The paper aims to discuss the importance of considering both the physical and cognitive automation when aiming for a flexible or reconfigurable assembly system. This is done in order to handle the increased demand for mass customized production and to maintain or improve the social sustainability within the company.Design/methodology/approach – The methodologies used in this paper are a theoretical review about task allocation and levels of automation and a methodology called DYNAMO++ for the industrial case studies.Findings – The paper provides both theoretical and empirical insights about the importance of considering both the cognitive and physical automation when aiming for a reconfigurable assembly system.Research limitations/implications – The paper will only discuss the cognitive strategy from a social sustainability perspective and not from an economical or environmental angle.Practical implications – The paper presents data from three industrial case studies, mostly in the automotive in.
High CMRR wide bandwidth instrumentation amplifier using current controlled conveyors

A novel instrumentation amplifier using only current controlled conveyors (CCCIIs) is proposed. The new circuit with no resistors offers a wide bandwidth, a high CMRR, electronically adjustable gain and a good dynamic range. The proposed circuit also provides simultaneously a high impedance output current. The circuit is also analysed for the non-idealities of conveyors. RSPICE simulation results are included to support the proposed theory.
Ion-milled waveguide lenses and lens arrays in GaAs

The authors discuss ion-milled planar waveguide lenses in GaAs which exhibit a considerably higher efficiency than that previously reported for those lenses and near diffraction-limited spot size. The authors also report the performance characteristics of these latest lenses, including single lenses and lens array of analog Fresnel, chirp grating, and hybrid types as well as a collimation-Fourier transformation lens-pair, together with the detailed design and fabrication procedures. A simple theoretical model for the lens efficiency is also formulated to assist in the lens design. Ion milling has been shown to be a simple and versatile technique for fabrication of waveguide lenses in GaAs and applicable to any other substrate material. Such ion-milled waveguide lenses should facilitate realization of a variety of monolithically integrated optic device modules and circuits in GaAs and other related substrates with applications to communications, signal processing, and computing. >
Robust Estimation for Optimal Guidance Laws

The aim of the paper is to present an alternative filtering method for the Augmented Proportional Navigation Guidance (APNG). Two main aspects distinguish the proposed filtering technique with respect to the ones used in the existing APNG laws. The first is the fact that by contrast with the classical Kalman filtering, some state-dependent noises in the measurements are taken into account. The second aspect is the use of a mixed filter for models with state-dependent noise which combines the benefits of the and Kalman type filtering. The aim is to cover the situations when the unknown target meneuvers are generated both by stochastic or by deterministic exogenous inputs. A case study together with comparative analysis of the numerical results illustrate and validate the proposed approach.
A hybrid approach based on transfer and ensemble learning for improving performances of deep learning models on small datasets

: The need for high-volume data is one of the challenging requirements of the deep learning methods, and it makes it harder to apply deep learning algorithms to domains in which the data sources are limited, in other words, small. These domains may vary from medical diagnosis to satellite imaging. The performances of the deep learning methods on small datasets can be improved by the approaches such as data augmentation, ensembling, and transfer learning. In this study, we propose a new approach that utilizes transfer learning and ensemble methods to increase the accuracy rates of convolutional neural networks for classification tasks on small data sets. To this end, we generate different-sized sub-networks by fragmenting an existing large pre-trained network then gather those networks to form an ensemble. For ensemble scoring, we also suggest two new methods. Conducted experiments with the proposed technique, on a randomly sampled Cifar10 small subset dataset, reveals promising results.
Experimental investigation of bias current and load modulation effects in phase distortion of GaN HEMTs

The relationships between phase distortion, bias point and load modulation in power amplifiers are experimentally evaluated for two different GaN HEMT technologies. Measurements on devices with fixed and modulated load, to emulate the dynamic working conditions of the main stage of a Doherty amplifier, have been carried out through an advanced source/load-pull setup. Almost flat phase distortion against output power can be obtained by the proper bias point when the load remains constant, whereas it is shown that this possibility is not compatible with load modulation, inherently present in Doherty power amplifiers.
Model of a highly saturated three‐phase autotransformer with tertiary winding and five‐limb core and analysis of a time‐varying short‐circuit transient

The paper deals with the model of a highly saturated three-phase autotransformer and the analysis of a power system short circuit with topological configuration changing during the transient (time-varying configuration fault). The power system includes two power networks interconnected by a five-limb core autotransformer rated 400 MVA, 400 kV/230 kV, with an internal tertiary delta-connected winding. The short circuit considered here occurs on the 230 kV side and changes in sequence during the transient from line-to-earth short circuit to a line-to-line-to-earth short circuit to a three-phase short circuit. This complex fault is intended to reproduce a real short circuit due to the failure of a current transformer in a transformer station which involves the two current transformers of the adjacent phases. It gives peak currents much higher than those obtained with conventional time-invariant configuration short circuits. The proposed non-linear circuit model of the autotransformer takes into account the actual configuration of both the core and the windings in highly saturated operations. The simulation of the transient is carried out by the ATP program.