Miracle-dz/UniFAR-FTUs huggingface dataset:
Seismic Data Resizing Using Seam Carving

Seismic data interpretation can be accelerated by reducing the size of the seismic images. Cropping, decimation, and resizing (decimation after averaging), are some well-known techniques to accomplish these goals. Rather than regularly removing certain rows and columns (decimation), or predefined groups of rows and columns (cropping) from the input image, seam carving (SC) discards the least informative regions of the input image while preserving its content. SC is a computer vision algorithm originally devised to resize natural images that, to our best knowledge, had not been applied to resize geophysical data previously. We propose to adopt SC to deliver smaller, yet representative, seismic images that contain the most relevant structures and textures of the original data with amplitude preservation. These reduced images can be used by seismic interpreters to cope with day-to-day Industry demands and deadlines since they can analyze the results of filters and seismic attributes with less computational resources and in shorter time frames. Essentially, SC relies on an energy operator and dynamic optimization to find the optimal pixel trajectories to carve from the input image iteratively until the desired image size is attained. We modify the original SC algorithm by using an energy operator based on the well-known Sobel magnitude that grants high reduction rates in both dimensions with minimum artifacts. We illustrate SC by means of a toy example and an image from the Moon’s surface. Then, the proposed method is applied to resize field seismic data that comprise two seismic sections and one seismic amplitude time-slice. The results demonstrate that SC, contrarily to decimation or conventional resizing, provides meaningful reduced seismic images that preserve the main features of the original data.
1 kW MHz Wideband Class E Power Amplifier

The Class E power amplifier is widely used in high-frequency applications due to its simplicity and use of only one ground-referenced switch. However, due to their resonant nature, Class E power amplifiers are usually tuned to operate at a fixed frequency. Extending the bandwidth of these switch-mode power amplifiers is beneficial in many applications such as plasma generators and wireless power transfer systems. In this paper, we present a 1 kW wideband Class E power amplifier using SiC MOSFETs that achieves 93% efficiency at 13.56 MHz with a bandwidth of ±1 MHz. We incorporate a reactance compensation network in the output loading stage to achieve wide-band operation, and design a custom gate drive circuit to reduce the gate power loss of the SiC devices and improve thermal performance compared to using a gate driver IC. The total gate power of one SiC device is measured to be 1.55 W at 13.56 MHz.
METRICS2.1 and Flow Tuning in the IEEE CEDA Robust Design Flow and OpenROAD ICCAD Special Session Paper

In today's RTL-to-GDS flow domain, there is a lack of standards for reporting of design and tool metrics. Moreover, each tool or engine has its own set of parameters that can change outcomes and trade off PPA and other metrics. Thus, the study and optimization of impacts of parameter settings across the entire RTL- to-GDS tool chain has been largely ad hoc. In this paper, we first describe METRICS2.1, a proposed standard for RTL-to-GDS design tool and flow metrics. We then describe how data collected using a METRICS2.1 realization can be analyzed to give insight into flow tuning and fields of use for PPA optimization. Last, we discuss hyperparameter autotuning in the RTL-to-GDS flow. We present AutoTuner, which uses derivative-free optimization to handle challenges of non-differentiability and many local minima. An open repository based on METRICS2.1 has been established for sharing of reproducible, standardized metrics data, along with example implemented applications, to support academic and industrial research on machine learning for tool/flow tuning.
Is Open Source Software Development Essentially an Agile Method

It has been argued that Open Source Software (OSS) development differs from the agile software development mode in philosophical, economical, and team structural aspects. This paper investigates the OSS development characteristics from four perspectives: process, roles and responsibilities, practices, and scope of use. The study shows that while from a legal perspective the OSS development paradigm could be seen more as a licensing structure exploiting the terms of the General Public License or similar, the OSS does in many ways follow the same lines of thought and practices as the main stream of existing agile methods. The principal differences and similarities are highlighted and discussed. It is suggested that the OSS community could benefit from the practical solutions put forward by the agile proponents and vice versa.
Adaptive Predictive Control for Industrial Processes

In this work a predictive controller formulation is developed within a linear parameter-varying formalism, which serves as a non-linear process model. The proposed strategy is an adaptive Model-based Predictive Controller (MPC), designed with terminal set constraints and considering the scheduling polytope of the model. At each sample time, two Quadratic Programming (QP) problems are solved: the first QP considers a backward horizon to find a virtual model-process tuning variable that defines the best LTI prediction model, considering the vertices of the polytopic system; then, the second QP uses this LTI model to optimise performances along a forward horizon. This paper ends with a realistic solar thermal collector process simulation, comparing the proposed MPC to other techniques from the literature. Discussions regarding the results, the design procedure and the computational effort are presented.
Speed-sensorless vector control for permanent-magnet synchronous motors based on instantaneous reactive power in the wide-speed region

The paper proposes an implementation of the new sensorless speed-control scheme for a permanent-magnet synchronous motor (PMSM). In the proposed algorithm, the current observer estimates the line currents and the estimated speed can be yielded from the voltage equation because the information of speed is included in back EMF. However, the speed-estimation error between the estimated and the actual speed arises because of the measurement errors of the motor parameters and the sensing errors of the line currents and input voltages. Because the parameters such as machine inertia or a viscosity-friction coefficient depend on the mechanical load which is not constant in most applications, there are many restrictions in the actual implementation. To minimise the speed-estimation error, the estimated speed error is compensated by the instantaneous reactive power. Moreover, to increase productivity, a flux-weakening control algorithm is added to the proposed sensorless algorithm in the high-speed region. The proposed algorithm improves robustness by removing the mechanical equations in the observer and improves performance by adding flux weakening control in the high-speed region.
A Study of Leakage Current Characteristic of Silicone Rubber Surface after Subjected to Ultraviolet Light

An insulator is one of the most important equipment in an electric power system. It serves to separate the live conductors from the tower body. Leakage current often occurs in an insulator, especially when there are contaminants flowing on its surface, so it is necessary to look for an insulator material that has a low leakage current. One of them is silicone rubber (SiR) polymer material. In this study, a silicone rubber insulating material was tested without filler and with 5% and 10% TiO2 (Titanium Dioxide) as filler. The test was carried out using the Incline-Planed Tracking (IPT) measurement method according to the IEC standard 587:1984. The parameters analyzed were the average leakage current in various filler materials and the leakage current before and after exposure to ultraviolet. The test results show that the duration of ultraviolet irradiation affects the average leakage current. It was concluded that the test sample which has a high average leakage current is a sample of silicone rubber with filler 5% TiO2 before exposed by UV of 0.099 mA, and sample which has a high average leakage current after exposed by UV for 48 hours was 1.558 mA.
A D-Band H-Plane Waveguide Power Divider

This paper presents a broadband H-plane power divider designed on the basis of the different propagation constants of TE10 mode and TE30 mode sharing a symmetric plane in D band. It is a five-port waveguide structure, including one input port, two output ports, two isolated ports. Due to the symmetry of its structure, the amplitude and phase of the two output ports have a good consistency, the amplitude imbalance is less than 0.0016dB and the phase imbalance is less than 0.058°. The simulation results show that the insertion loss is less than 0.85dB, the return loss and isolation between two outputs is better than −15dB from 112GHz to 142GHz. At the same time, this structure can also be used for power synthesis.
Improved Human Identification using Finger Vein Images: A Review

Vein pattern is the network of blood vessels beneath a person’s skin. This vein pattern can be used to authenticate the identity of an individual. In the ubiquitous network society, where individuals can easily access their information anytime and anywhere, people are also faced with the risk that others can easily access the same information anytime and anywhere. Because of this risk, personal identification technology, which can distinguish between registered legitimate users and imposters, is now generating interest. Currently, passwords, Personal Identification cards are used for personal identification. However, cards can be stolen, and passwords and numbers can be guessed or forgotten. To solve these problems, biometric authentication technology, which identifies people by their unique biological information, is attracting attention. Finger vein recognition is that it is not affected by dryness or roughness of skin or by physical injury on surface of the hand but sometimes the temperature and humidity can affect the quality of the captured image. We will be using MATLAB software for our proposed work.
Design of Beamforming Network with Flat-Topped Radiation Patterns

A beamforming network with flat-topped radiation patterns is proposed in this paper. The proposed network has two input ports and six output ports. It is designed based on matrix decomposition theory and combined with the optimization algorithm. The whole network consists of five directional couplers with unequal power division ratio and phase difference, which is orthogonal and lossless. When the proposed beamforming network is connected with a $1\times 6$ antenna array, two flat-topped radiation patterns with symmetrical coverage can be obtained.
Aeroacoustics of Swirling Exhaust Flows in High Bypass Ratio Turbofan Nozzles for Drag Management Applications

The aeroacoustics of swirling exhaust flows in high bypass ratio turbofan nozzles are assessed for aircraft approach drag management applications. Aerodynamic designs of swirl vane hardware were tested in an anechoic jet test facility to quantify their thrust reduction (or equivalent drag generation) capability and noise. Simple vaned-disk (visk) hardware using a row of periodically spaced swirl vanes was used to study flow interactions and noise generation mechanisms associated with swirl generated in the bypass duct. The swirling bypass exhaust stream creates suction on the core stream, which elevates the core flow and decreases the bypass ratio by up to 40 percent for the geometries tested. Swirling the bypass exhaust enhances mixing, and phased array measurements suggest that the apparent noise source moves upstream and radially inward toward the inner shear layer, and radiates preferentially in the direction of swirl. The presence of a pylon with a deflected trailing edge and asymmetric swirl vanes is found to produce a coherent swirling outflow with slightly greater noise generation than its idealized counterpart. The relationship between gross thrust reduction and noise generation is quantified and applied to a simple steep approach noise simulation at fixed aircraft speed. Results suggest a noise reduction potential of up to 3.1 dB, tonecorrected peak perceived noise level (PNLT) and 1.8 dB effective perceived noise level (EPNL) for a single-aisle, twin engine aircraft.
Generalized predictive control strategy applied to a single-phase T-type voltage source inverter in stand-alone operation mode

This paper details a voltage control strategy based on Generalized Predictive Control (GPC) applied to a single-phase T-type neutral point clamped voltage source inverter in stand-alone operation mode. A performance comparison between the GPC and a Proportional-Integral (PI) controller is presented to highlight the improved performance of GPC under different load scenarios. The main results show that the GPC can achieve longer prediction horizons than other controllers based on model predictive control. Furthermore, in contrast to the PI controller, the GPC responds to load changes as disturbances. Finally, GPC can operate efficiently without an online optimization method nor recursive system identification method.
Improving The Quality of Detecting and Recognizing Defects in Images of Steel Structures

The authors of the paper consider the options of improving the defect detection quality in images of steel structures based on the modification of training procedures using the Transfer Learning technology. For this purpose, it is first proposed to train the encoding fragment of the network (encoder) on known datasets, and then to retrain the decoding fragment of the network (decoder) on a manually labelled, specialized set of images of surface defects in steel structures. The conclusion is drawn in the paper that the training time is reduced and the accuracy of defect recognition is improved due to the options proposed
A high power density, high efficiency and fast transient voltage regulator module with a novel current sensing and current sharing technique

Future generations of microprocessors are expected to exhibit much heavier loads and much faster transient slew rates. Today's voltage regulator module (VRM) will need a large amount of extra decoupling and output filter capacitors to meet future requirements, which basically makes the existing VRM topologies impractical. As a candidate topology, the interleaved quasi-square-wave (QSW) exhibits very good performance, such as fast transient response and very high power density. The limitation in the application of the interleaved parallel technology is current sharing control. In this paper, a novel current sensing and current sharing technique is proposed. With this technique, current sharing can be controlled simply in parallel converters without current transformer and current sensing resistors. Experimental results verify that with this technique, a 4-module interleaved QSW VRM has high power density, high efficiency and fast transient response.
Radar Absorbing Material Applied to Precise RCS Regulation of Complex Scatterer Structure

In this paper, an ultra-thin absorber of metamaterial loaded with resistors is proposed to maintain polarization-insensitive and large-angle stable partial wave absorption characteristics by exploring the principles of the absorbing structure. The absorbing unit has three layers, that the top layer is a metal patch loaded with resistors. This absorbing unit can achieve different frequencies stable absorbance in the 4-40 GHz frequency band, which is of great significance in the precise RCS regulation of complex scatterer structure. By laying this absorbing unit, the trihedral corner reflector is stable at 8-40 GHz with the fitted RCS between −3 to −6 dbsm. The thickness of this structure is only 1 mm.
Fluvial Sediment-transport Processes and Morphology

Rivers convey water and sediment from catchments to the coast through channels that adapt to these flows. Society's concerns about flood management and the potential effects of climate change must thus be matched with knowledge and appropriate management of fluvial sediment processes and the dynamic behaviour of river channels. This paper presents a synthesis of recent developments in our understanding of fluvial sediment processes and morphology, with an additional emphasis on the works of New Zealand researchers. We present frameworks and tools for predicting and interpreting these processes, from small to large scales, and also potential changes in morphology and in-channel sediment storage. The understanding derived from analyses of grain-scale concepts is presented in the context of larger-scale processes and also other aspects of the sediment-flux pathway from catchment to coast. The paper finishes with some comments on present issues and recommendations for research efforts.
Assessment of Thermal Energy Storage for Parabolic Trough Solar Power Plants

Parabolic trough power plant technology is one of the most demonstrated solar power options commercially available. While trough power plants are the least expensive solar option, cost of electricity still exceeds that needed to directly compete with conventional fossil-fired large-scale central power technologies. Several evaluations have been done that identify a series of mechanisms for significant cost reduction over the next decade. One of the opportunities for improving the economics of parabolic trough plants is the development of lower cost and more efficient thermal energy storage (TES) technologies. This paper focuses on several of the TES technologies currently under development, namely: the use of an indirect molten-salt storage system, the use of molten-salt as a heat transfer fluid in the solar field and thermal energy storage system, and the development of new types of storage fluids. The assessment compares the cost and performance of these candidate thermal energy storage technologies by evaluating their impact on the levelized cost of electricity from the plant. This analysis is updated based on work conducted on these technologies during the last year.Copyright © 2004 by ASME
Effect of Pressing Pressure on Density and Hardness of Powder Miscanthus Reinforced Brake Pads

The aim of this paper is to develop new natural fibre reinforced for automotive brake pad application. For this purpose, new brake pad sampleswere produced using Miscanthus as reinforcement ingredient. The other ingredients are Cashew, Alumina, Phenolic Resin, and Calcite. Three different laboratory formulations were prepared with varying Miscanthus fibre contents from 10, 25, and 40 (wt) and these formulations were moulded four different moulding pressure values such as 50, 100, 200, and 300 MPa. Sieve analysis, density, apparent density, and hardness properties of brake pad samples produced are examined.
Fusing Multiscale Texture and Residual Descriptors for Multilevel 2D Barcode Rebroadcasting Detection

Nowadays, 2D barcodes have been widely used for advertisement, mobile payment, and product authentication. However, in applications related to product authentication, an authentic 2D barcode can be illegally copied and attached to a counterfeited product in such a way to bypass the authentication scheme. In this paper, we employ a proprietary 2D barcode pattern and use multimedia forensics methods to analyse the scanning and printing artefacts resulting from the copy (re-broadcasting) attack. A diverse and complementary feature set is proposed to quantify the barcode texture distortions introduced during the illegal copying process. The proposed features are composed of global and local descriptors, which characterize the multi-scale texture appearance and the points of interest distribution, respectively. The proposed descriptors are compared against some existing texture descriptors and deep learning-based approaches under various scenarios, such as cross-datasets and cross-size. Experimental results highlight the practicality of the proposed method in real-world settings.
Smart Home Energy Management with Electric Vehicles Considering Battery Degradation

With the development of vehicles-to-grid (V2G) technology, electric vehicles (EVs) are receiving increasing attention in recent years. This paper describes a smart home energy dispatch model including EVs and flexible appliances. In this model, the home's electricity cost is minimized through optimal dispatch, while the comfort level of home is considered. A simplified method to measure battery degradation is proposed. The model is solved by the dissipative particle swarm optimization (DPSO) algorithm. Simulation results show that the battery lifetime can be extended when the battery degradation is considered in the charging and discharging of the EV. With the decrease in the battery cost, the user has more incentives to use the EV as a storage device to reduce the electricity cost.
Combined Vibration and Stator Current Techniques for Induction Motors Fault Detection – A Review

Mechanical vibrations are consolidated in the industry as the main tool for diagnosing faults in rotating electrical machines. However, some faults have an electrical root cause and are difficult to be detected using vibration analysis. For those cases, stator current methods have been developed over the last years. They have proven to be effective in detecting both, electrical and mechanical faults; however, the interconnection between the two methods is still an open question. This paper makes a review of both methods and the attempts to combine them to enhance effectiveness at fault detection and diagnosis.
Design of a Compact D-Band All-Metal Antenna Fed by a Circular Waveguide

The commercialization of D-band wireless systems calls for compact, low-cost, and low-loss antennas. This paper presents a D-band metallic resonant cavity antenna fed by a circular waveguide. The total antenna thickness above the feed is only 1.16 mm. Analysis of the antenna gain shows the aperture size should be optimized to achieve an optimum aperture efficiency. The radiation pattern of the resultant antenna has a much lower sidelobe level (−25.3 dB) compared with the feed antenna pattern due to the edge tapering of the radiating aperture. In addition to the linear polarization operation, we show preliminary results of circular polarization performance by applying an ideal excitation to the feed.
Driver intention prediction at roundabouts

In this paper, a strategy to estimate the intention of the driver seconds before entering a roundabout is presented. In real situations, detecting that a driver is going to turn in a particular direction at the time of entering the roundabout is not enough to implement risk reduction strategies. It is then critical to recognize in advance the possible actions of the drivers. The proposed method uses kinematic and position information of a vehicle a few meters before the beginning of the roundabout to feed a neural network based on Long Short-Term Memory or LSTM models, allowing to predict the probability that the vehicle will turn right, left, or go straight before entering the roundabout.
A neuro‐fuzzy computing technique for modeling laser‐diode nonlinearity in a radio‐over‐fibre link

Neuro‐fuzzy (NF) models are well‐known robust learning systems that combine the advantages of fuzzy sets and neurocomputation theory. This article presents the application of the NF approach to the computation of 3rd‐order intermodulation power levels in microwave‐intensity‐modulated GaAlAs laser diodes for radio‐over‐fibre communications. The excellent agreement between the computed results and experimental measurements validates the presented NF approach. © 2005 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2005