Miracle-dz/UniFAR-FTUs huggingface dataset:
Floating offshore wind turbine fault diagnosis using stacked denoising autoencoder with temporal information

Currently, the offshore wind turbine has become a hot research area in the wind energy industry. Among different offshore wind turbines, floating offshore wind turbine (FOWT) can harvest abundant wind energy in deepwater areas. However, the harsh working environment will dramatically increase the maintenance cost and downtime of FOWTs. Wind turbine fault diagnosis is being regarded as an indispensable system for maintenance issues. Owing to the complexity of FOWT, it imposes an enormous challenge for effective fault diagnosis. This paper develops a novel FOWT fault diagnosis method based on a stacked denoising autoencoder (SDAE). First, a sliding window technique is adopted for time-series data to preserve temporal information. Then, SDAE is employed to extract the features from high-dimensional data. Based on the extracted features from SDAE, a classifier using multilayer perceptrons (MLP) is developed to determine the health status of the FOWT. To verify the performance of the proposed method, a FOWT simulation benchmark based on the National Renewable Energy Laboratory (NREL) FAST simulator is employed. Results show the superior performance of the proposed method by comparison with other relevant methods.
Exploring the power of wavelet analysis

Wavelets are a recently developed mathematical tool for signal analysis. Informally, a wavelet is a short-term duration wave. Wavelets are used as a kernel function in an integral transform, much in the same way that sines and cosines are used in Fourier analysis or the Walsh functions in Walsh analysis. To date, the primary application of wavelets has been in the areas of signal processing, image compression, subband coding, medical imaging, data compression, seismic studies, denoising data, computer vision and sound synthesis. Here, the authors describe how wavelets may be used in the analysis of power system transients using computer implementation.
A Deep Autoencoder and RNN Model for Indoor Localization with Variable Propagation Loss

Current machine learning techniques for indoor localization of wireless devices assume a single wireless propagation loss setting, making them unfeasible for reliable production deployment. This paper proposes a new indoor localization technique designed for variable propagation loss environments based on deep autoencoder and recurrent neural network (RNN), implemented threefold. This paper proposes a new indoor localization technique designed for variable loss propagation environments based on deep autoencoder and recurrent neural network (RNN), implemented in three stages. First, we extract statistical feature values from collected RSSI. Second, a deep autoencoder is used to remove wireless propagation noises introduced by variable fading settings. Third, an RNN performs the localization task taking into account previous sensor measurements. Experiments performed in 3 simulated testbeds with distinct propagation loss settings have shown that current approaches decrease localization accuracy by up to 30% when a different propagation loss is faced. In addition, our proposed model improved localization accuracy by up to 25.8% regardless of the current environment propagation loss.
Electrical output of shadowed solar arrays

The effects of shadows on the current-voltage characteristics of solar cell circuits are studied and used for the development of several mathematical models. These models describe circuits of any geometry with or without shunt or blocking diodes. For efficient analyses of larger arrays the concept of the shadowing factor is developed. All models are useful in analyses performed by hand or digital computer, using theoretical or empirical input data.
The Interplay between Salmonella and Intestinal Innate Immune Cells in Chickens

Salmonellosis is a common infection in poultry, which results in huge economic losses in the poultry industry. At the same time, Salmonella infections are a threat to public health, since contaminated poultry products can lead to zoonotic infections. Antibiotics as feed additives have proven to be an effective prophylactic option to control Salmonella infections, but due to resistance issues in humans and animals, the use of antimicrobials in food animals has been banned in Europe. Hence, there is an urgent need to look for alternative strategies that can protect poultry against Salmonella infections. One such alternative could be to strengthen the innate immune system in young chickens in order to prevent early life infections. This can be achieved by administration of immune modulating molecules that target innate immune cells, for example via feed, or by in-ovo applications. We aimed to review the innate immune system in the chicken intestine; the main site of Salmonella entrance, and its responsiveness to Salmonella infection. Identifying the most important players in the innate immune response in the intestine is a first step in designing targeted approaches for immune modulation.
Discovering Novel Genes in Non-Model Fly Accessory Glands Using De Novo Nanopore Transcriptomics

BackgroundOxford Nanopore Technologies (ONT) long-read transcriptomes offer many advantages including long reads (>10kbp), end-to-end transcripts, structural variants, isoform-level resolution of genes and expression. However, uptake of ONT transcriptomics is still low, largely due to high error rates (2 to 13%) and reliance on reference databases that are unavailable for many non-model species. Additionally, bioinformatics tools and pipelines for de novo ONT transcriptomics are still in early stages of development. ResultsHere, we use de novo ONT GridION transcriptomics to discover novel genes from the male accessory glands (AG) of a widespread, non-model dung fly, Sepsis punctum. Insect AGs are of particular interest for this as they are hotspots for rapid evolution of novel reproductive genes, and they synthesize seminal fluid proteins that lack homology to any other known proteins. We implement a completely de novo ONT GridION transcriptome pipeline, incorporating quality-filtering and rigorous error-correction procedures, to characterize this novel gene set and to quantify their expression. Specifically, we compare these ONT genes and their expression against de novo lllumina HiSeq transcriptome data. We find 40 high-quality and high-confidence ONT genes that cross-verify against Illumina genes; twenty-six of which are novel and specific to S. punctum. Read count based expression quantification in ONT samples is highly congruent with Illumina’s Transcript per Million (TPM), both in overall pattern and within functional categories. Novel genes account for an average of 81% of total gene expression underscoring their functional importance in S. punctum AGs. Eighty percentage of these genes are secretory in nature, responsible for 74% total gene expression. Notably, median sequence similarities of ONT nucleotide and protein sequences match within-Illumina sequence similarities indicating that our de novo ONT transcriptome pipeline successfully mitigated sequencing errors. ConclusionsThis is the first study to adapt ONT transcriptomics for completely de novo characterization of novel genes in animals. Our study demonstrates that ONT long-reads, constituting a quarter of the number of bases sequenced at less than a third the cost of Illumina reads, can be a resource-friendly and cost-effective solution for end-to-end sequencing of unknown genes even in the absence of a reference database.
Turning Adversity into Capitals among Low Income First Generation Students of Color: Exploring Interdependence of Multiple Capitals

Much literature have documented that low income, first generation college students tend to contend with challenges and hardships such as financial constraints, low parental support, lack of college information, and lack of social networks. However, a growing number of the studies reverse such “deficit” view on first generation students of color, and assert that resources of traditionally disadvantaged students become a community cultural wealth for accessing privilege. This study collects the experiences of low income students of color who graduated from PWIs in the U.S. higher education system. In so doing, the study uses Yosso’s Community Cultural Wealth as a theoretical framework, and analyzes the experiences in terms of how they transform their resources into capitals. The analysis of the data shows that each participant leverages Yosso’s six capitals in the way to gain successful educational attainment. Unfulfilled parental dream and pitying parents turn to valuable family and aspirational capitals; lack of clear goals and lack of guidance compelled the participants to be able to navigate through possible social networks. The data also shows how one capital reinforces and intersects with other capitals.
A New Approach to Estimating Product Lifetimes: A Case Study of an LED Based LCD TV

Estimating the economic life of a technology is the first important prerequisite step in the feasibility analysis of technology-based business. Many empirical studies have concentrated on patents data to estimate the time period for a technology. However, it is recommended to estimate it along with qualitative considerations of future technological and market conditions. In this regard, little is known about how approaches are applied. This paper aims to establish a structural framework of estimating the lifetime of a technology by integrating the outputs of an analysis of the determinants in each transition of a product life cycle. We describe an illustrative case about a light emitting diode (LED) backlight unit (BLU) technology for the liquid crystal display (LCD) TV. The framework allows valuators and experts to estimate a technology lifetime by using multidimensional factors.
An automated loading and unloading system for a maglev wafer transport path

An automated loading and unloading system for placing silicon wafers on a carrier is discussed. Interest is particularly focused on the automated loading of wafers onto a carrier which is moved along a transport path using a magnetic levitation (maglev) drive mechanism. The system consists of a wafer carrier which can move along the path and is purely passive, and a loading and unloading device which uses vacuum and electrical power. A magnetic clamping mechanism presents the wafer from sliding when the carrier moves along the path. The electromagnetic loading and unloading device firmly holds the wafer using vacuum suction and may be carried out by a robot. Only the bottom surface and edge of the wafer are touched by the carrier and the loader-unloader. The loader-unloader described, when combined with a maglev transport path, is potentially useful for connecting the processing tools in a cluster or connecting the workstations along a semiconductor fabrication line. >
Reliability considerations for copper metallizations in ULSI circuits

The drive toward smaller, faster microelectronics chips is requiring use of Cu and low-K dielectrics in place of present Al/SiO2 wiring systems in order to reduce RC signal delay. Cu addresses the resistive component of this delay. Besides having 30% lower resistivity and a higher elastic modulus compared to Al, Cu is a relatively low-cost replacement. But Cu behaves differently from Al in several ways. Cu is not self-passivating like Al, and has been found to diffuse through oxide. Diffusion barriers must therefore be used around Cu lines to protect active devices from Cu poisoning. Because Cu oxidizes easily, wiring and bond pads must be protected from air during high-temperature testing. Cu adhesion to SiO2 appears to be poorer and Cu interfacial diffusion higher, allowing for significant electrochemical migration. For electromigration and stress voiding, Cu is generally more robust than Al. However, the properties above combined with rapid grain growth rates can produce unexpected deleterious results.
Air bubble entrainment by breaking bow waves simulated by a 2D+T technique

Title of dissertation: Air Bubble Entrainment by Breaking Bow Waves Simulated by a 2D+T Technique Mohammadreza Tavakolinejad Doctor of Philosophy, 2010 Dissertation directed by: Professor James H. Duncan Department of Mechanical Engineering Experimental studies of air entrainment by breaking bow waves are essential for advancing the understanding of these flows and creating valid models. This experimental research is part of a larger project whose broad goal is to improve our understanding of the dynamics of breaking bow waves including the entrainment of air bubbles into the flow and the generation of turbulence and vorticity. A mechanical wave maker creates waves similar to those formed at the bow of a moving ship, utilizing the 2D+T approximation. The primary mechanisms for air entrainment are the impact of the plunging wave jet and individual droplets in the splash region on the free surface. The air entrainment process is observed in small scale stationary model experiments, and the air bubbles are entrained in spatially periodic bubble clouds. The specific objectives of this project are to develop a shadowgraph technique for measurement of bubble size distributions and motions and to measure and analyze the void fraction as a function of the equivalent forward speed of the ship model. Three key bubble characteristics that will be emphasized and studied in particular detail are bubble distributions and motions, void fractions and relationships between the properties of bubble and the geometrical characteristics of the wave. The air entrainment in ship bow waves simulated by a 2D+T technique and the methods used to analyze these phenomena are all novel aspects of this particular study and should provide a valuable set of data and analyses for the study of breaking bow wave mechanics. Air Bubble Entrainment by Breaking Bow Waves Simulated by a 2D+T Technique
Designing Energy Display Formats for Civil Aircraft: Reply to Amelink, Mulder, van Paassen, and Flach

Abstract In their recent article on total energy-based flight-path displays, Amelink, Mulder, van Paassen, and Flach (2005) quite rightly pointed out that energy issues are covered in descriptions of the piloting task, which tend to be based on the machine's behavior, rather than the system's functions and their relation to the goals to be achieved. Taking a more holistic approach, referred to by Amelink et al. as ecological interface design, will lead to greater pilot situation awareness, flight safety, and efficiency. We have addressed this in our work on designing energy display formats for civil aircraft, and would like to add to the work of Amelink et al. in a reply to their article.
Multi-Band and Frequency-Agile Chip-Based RF Photonic Filter for Ultra-Deep Interference Rejection

Unwanted high-power and frequency-agile radio-frequency (RF) signals cause saturation and nonlinear distortions in sensitive RF receivers. RF notch filters with reconfigurable responses over multiple frequency bands are highly sought after to prevent these detrimental effects. Microwave photonic (MWP) notch filters have shown increased frequency agility compared to their electronic counterparts. However, demonstrated filter schemes focus only on single notch responses, leaving them unable to simultaneously attenuate multiple interferers over a wide frequency range. In this work, we demonstrate a high-performance chip-based MWP notch filter with three independent notches widely tunable over 20 GHz. The filter exhibits low RF passband losses of 8 dB and peak notch depth greater than 40 dB with 500 MHz spectral resolution. Specifically, each notch is formed through cascaded optical processing from on-chip, low-loss Si<inline-formula><tex-math notation="LaTeX">$_3$</tex-math></inline-formula>N<inline-formula><tex-math notation="LaTeX">$_4$</tex-math></inline-formula> micro-resonators and Brillouin gain on an As<inline-formula><tex-math notation="LaTeX">$_2$</tex-math></inline-formula>S<inline-formula><tex-math notation="LaTeX">$_3$</tex-math></inline-formula> photonic chip. We use this filter to demonstrate high-performance analog RF filtering by substantially attenuating multiple interferers, and show effective image rejection during RF down-conversion in a communications receiver to enable a large reduction of error vector magnitude (EVM) from 60% to 15%. Finally, we provide performance analysis and design perspectives for future photonic integration of the proposed filter subsystem.
Accurate capacitor matching measurements using floating gate test structures

This paper discusses a new method for characterization of matching of capacitors using the so-called floating gate capacitance measurement method. The paper explains this (DC! ) measurement method and then discusses modifications that were implemented to improve the measurement accuracy and repeatability from its original thousands of ppms (0.1 to 0.3%) to values down to 50 ppm. This improved accuracy is necessary for correct characterization of capacitor matching. The method is demonstrated with results from double-polysilicon capacitor matching measurements.
Simulation and Visual Operation: IT Application on Container Terminal Production Logistics System

This paper introduces a solution to process control and visualized management system of container terminal. Some advanced technologies, such as GIS, GPS, WLAN, DLP screen etc, are integrated into the Container Terminal Production Logistics System in the solution. Another innovation is the auto-lock equipment fixed on RTG. IT application on container terminal, which includes accurate positioning, dynamic tracking, process controlling, distance operating, and this solution is able to effectively avoid the drivers operational misplay.
Study on Effects of Innovation and Vocational Training on Operation Performance by Implementation of ERP

The development of information technology has brought rapid changes to the industries, thus causing serious impacts on small and medium enterprises (SMEs). This study treated the employees in SMEs as the subjects to probe into the effects of vocational training and innovation management model on corporate operation performance when SMEs implement the enterprise resource planning (ERP) system. According to the empirical findings, the employees suggested that ERP implementation is the most important. Through project preparation, business blueprint analysis, technical realization, final preparation and effective support, operation performance can be fulfilled.
An Average Model of DC–DC Step-Up Converter Considering Switching Losses and Parasitic Elements

Power electronic converters represent a pillar of modern power systems, especially since generation from renewable energy sources, such as photovoltaics, have been introduced. One of their main characteristics consists of the high flexibility in converting different voltage levels and waveforms. As for all the conversion devices, they are subjected to unavoidable losses introduced by non-ideal components. For this reason, in the last few decades numerous research activities have been devoted to model their behavior and predicting the global efficiency. In spite of the number of scientific publications on the topic, the non-idealities have been rarely studied in terms of their impact on the input-output characteristics of the converter. In this paper, the conventional equivalent circuit of a step-up DC/DC converter has been upgraded in order to introduce the effects of both conduction and switching losses. The obtained formulation, applicable to all DC/DC converters, allows a more accurate average model that is particularly suitable for the study of multi-converter architectures, as for the most recent renewable energy sources applications. Finally, thanks to a dedicated test setup, the results of an experimental campaign demonstrate how the new formulation faithfully predicts its electrical behavior.
Dynamic SCL Decoder With Path-Flipping for 5G Polar Codes

Since polar were ratified as part of the 5G standard, low-complexity polar decoders with close-to-optimum error-rate performance have received significant attention. Compared to successive cancellation (SC) decoding, both SC list and SC flip decoding can improve the error rate performance by increasing the number of considered candidate solutions. The combination of both strategies leads to SC list flip (SCLF) decoding, which can provide a tradeoff between error rate performance and area as well as energy. In this letter, we derive a new flip metric for the SCLF decoding process, based on which we propose the dynamic SCLF (D-SCLF) decoding algorithm. Moreover, we exploit the distributed CRC defined in the 5G standard to further optimize the D-SCLF decoding. Numerical results show that for the downlink control channel, our D-SCLF decoder with a list size of only four and only three additional attempts can achieve the performance of a regular list decoder with a list size of eight, leading to an overall memory and average complexity (energy) reduction.
Fourth international workshop on Software quality assurance: in conjunction with the 6th ESEC/FSE joint meeting

The goal of software engineering is to achieve high-quality software in a cost-effective, timely, and reproducible manner. Advances in technology are enabling reductions in costs and schedule, but their effect on software quality assurance remains often unclear. The widespread availability of interconnectivity has changed the nature of software systems and has deeply affected both complexity and quality requirements, raising new design and quality issues that call for new approaches to quality assurance. Many modern software systems consist of large sets of heterogeneously developed components. Object-oriented design, component-based software engineering, components off the shelf (COTS), design patterns, and open source software facilitate the development tasks, but assuring the quality in scenarios that entail (combinations of) these concepts is problematic. The Fourth InternationalWorkshop on Software Quality Assurance (SOQUA 2007), which was colocated with the 6th joint meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2007), discussed and evaluated latest challenges, breakthroughs and experiences in the field of software quality assurance, aiming to identify open issues and future trends in this important field. In particular, SOQUA 2007 put special focus on the role that self-adaptive and self-healing solutions can play in quality assurance. The program committee had the difficult task to select 17 papers out of 27 highquality submissions from all over the world. These papers covered many aspects of software quality assurance, including self-healing and self-adaptive solutions, testing, quality assurance processes, process modeling, failure analysis and anticipation, quality of requirements, and variability modeling. The collected papers represent a significant contribution to the state of the art in the field.
Effect of Rime Ice Accretion on Aerodynamic Characteristics of Wind Turbine Blade Profiles

A numerical study of rime ice accretion and resultant flow field characteristics of blade profiles for four different fixed speed, stall controlled wind turbines was performed. Analyses were carried out at Reynolds numbers ranging from of 2.5 × 106 to 5.5 × 106, corresponding to the operational wind speeds and angles of attack ranging from −10 degree to + 20 degree. Numerical analyses showed that an increase in blade profile size reduces the dry rime ice accretion at leading edge, both in terms of local mass and ice thickness. A significant change in the flow behaviour and aerodynamic characteristics is observed, when a comparison is made between plain and iced blade profiles. Results showed an increase in both lift and drag coefficients of wind turbine blade profiles with the leading edge ice.