Miracle-dz/UniFAR-FTUs huggingface dataset:
Fully reversed electromechanical fatigue behavior of composite laminate with embedded piezoelectric actuator/sensor

The functionality of a commercially available piezoelectric (lead zirconate–titanate (PZT)) actuator/sensor embedded in a quasi-isotropic graphite/epoxy composite while undergoing a combined electromechanical (E/M) fatigue under the fully reversed, tension–compression fatigue condition was investigated. The applied maximum stress levels ranged from 25 MPa (500 µε) to 87.5 MPa (1750 µε), which were in the range of 0.5–1.75 times its design limit of 50 MPa (1000 µε). At the same time, the embedded PZT was subjected to ac voltages ranging from −100 to 100 V or 100 to −100 V at 10 Hz, giving either in-phase or out-of-phase electrically induced strain with respect to the cyclic mechanical load or strain. The output voltage of embedded PZT was monitored during cycling to determine its health. Failure of the PZT was assumed when a reduction of 30% of the initial output voltage was seen during cycling, even after repoling. Out-of-phase tension–compression E/M fatigue generated greater damage to the PZT than in-phase tension–compression E/M fatigue. This was because the net effective stress/strain experienced by the PZT was lower in the in-phase condition than the out-of-phase condition. Comparisons were also made with the previously available tension–tension E/M fatigue results. In-phase results showed less damage of the PZT in tension–compression tests than in tension–tension tests. This was because in the tension–tension E/M fatigue loading there was no repoling of the PZT, but in the tension–compression case there was a continual repoling during cycling from the applied external voltage. In the out-of-phase E/M fatigue, the tension–compression case was worse for the PZT than the tension–tension E/M fatigue since relatively greater damage was done to the PZT from the tension–compression cyclic loads than tension–tension cyclic loads.
Stabilization of Rotor Flux-Oriented Control of Induction Motor With Filter by Active Damping

Sinusoidal LC filters are generally placed between the voltage source inverter (VSI) and squirrel cage induction motor (SQIM) to reduce the distortion in the output voltage of the VSI, voltage surges at the motor-terminals, core losses in the SQIM, bearing-current, and electromagnetic interferences. Rotor-flux oriented control (RFOC) of the SQIM is widely used in adjustable speed drives. However, the introduction of filter network may make the operating point of RFOC of SQIM drive unstable and may create sustained resonance frequency oscillations in the stator-current, stator-voltage of SQIM. This paper proposes a simple inverter-current-based active damping (AD) technique, which damps out the resonance frequency oscillation by emulating the virtual resistance connected in series with the filter inductor in its control structure. It also effectively stabilizes the unstable operating point of the closed-loop system without changing the parameters of the controllers used in RFOC. The idea of the proposed AD technique has been illustrated with mathematical expressions and justified through stability analysis. The instability of operating point and the impact of the AD technique are experimentally demonstrated on RFOC of VSI-fed SQIM with filters at different test conditions.
Compact model for fast analytical evaluation of soft error rate in highly scaled memory circuits in space environment

It is shown that traditional analytical formula for soft error rate estimation (figure-of-merit) in digital memories in space environment can lead to large uncertainties. An alternative approach, based on another representation of experimental data, has been proposed. Streszczenie. Przedstawiono, że tradycyjna formuła analityczna do szacowania stopnia miękiego błędu (współczynnik jakości) w pamięci cyfrowej w przestrzeni kosmicznej może prowadzić do dużych niepewności. Zaproponowano alternatywne podejście, oparte na innych danych eksperymentalnych. kompaktowy model do szybkiej oceny analitycznej miękkie stopy błędu w bardzo skalowane układów pamięci w przestrzeni kosmicznej. (Kompaktowy model do szybkiej oceny analitycznej stopnia miękkiego błędu w wysoko przeskalowanych układach pamięci w przestrzeni kosmicznej).
Novel Method for Lung Tumour Detection Using Wavelet Shrinkage-based Double Classifier Analysis

Medical image detection and classification play an important role in medical research. Tumour detection is a process of crucial importance in oncology. The aim of this paper is to devise an approach for efficient image enhancement, tumour detection, and classification on computed tomographic lung images. Three different application-related methods on computed tomography (CT) images have been designed and implemented in this work. The first method, which was based on image quality, enhances the performance of the medical images. Generally, the CT images are very sensitive to noise and are difficult to handle. Proper care may be taken by introducing some preprocessing algorithms like enhancement algorithms and filters. According to this, an image enhancement algorithm, Wavelet Shrinkage adaptive histogram Equalization (WSAHE), with anisotropic diffusion filter (ADF) was introduced to improve the contrast of the CT images and denoising. In the second method Seed Region growing with Random walk segmentation algorithm (SRGWRWS) is proposed for lung tumour segmentation. In the third method GLCM features, FOS features, structural features, and combinational features are calculated from the segmented lung images. After segmentation, the tumour classification is done by Multi-class support vector machine (MCSVM) and Descend RUSBOOST classifiers. Here, MCSVM classifier was used to find whether the input CT tumour image is suspicious, benign or malignant. Overall accuracy of 92% is obtained using Descend RUSBOOST classifier with GLCM features, FOS features, structural features, combinational features and overall accuracy of 97% is obtained using MCSVM classifier with GLCM feature in MATLAB 2017a software.
Coherent phenomena in semiconductors

A review of coherent phenomena in photoexcited semiconductors is presented. In particular, two classes of phenomena are considered. The first is concerned with the role played by optically induced phase coherence in the ultrafast spectroscopy of semiconductors; the other with the Coulomb-induced effects on the coherent optical response of low-dimensional structures. All the phenomena discussed in this review are analysed in terms of a theoretical framework based on the density-matrix formalism. Due to its generality, this quantum-kinetic approach allows a realistic description of coherent as well as incoherent, i.e. phase-breaking, processes, thus providing quantitative information on the coupled - coherent versus incoherent - carrier dynamics in photoexcited semiconductors. The primary goal of this review is to discuss the concept of quantum-mechanical phase coherence as well as its relevance to and implications for semiconductor physics and technology. In particular, we will discuss the dominant role played by optically induced phase coherence on the process of carrier photogeneration and relaxation in bulk systems. We will then review typical field-induced coherent phenomena in semiconductor superlattices such as Bloch oscillations and Wannier-Stark localization. Finally, we will discuss the dominant role played by Coulomb correlation on the linear and nonlinear optical spectra of realistic quantum-wire structures.
Power Control of Virtual Oscillator Controlled Inverters in Grid-Connected Mode

This paper proposes a novel method to determine and control active and reactive power output of the virtual ocillator control-based inverter in grid-connected mode. An analytical expression is introduced to describe the quasi-steady-state relationship between the parameters of the inverter including its controllers, and the power injection and voltage at the inverter terminals. We introduce a new, complex valued parameter (K) to the conventional virtual oscillator control (VOC) scheme in order to control the inverter output power. We compare analytic and numeric solutions of the above analytical expression with time-domain simulation results, using different K values and line impedances to validate the analytical expression. In the second part of the paper, we design a controller: we use the above expression to derive K for given reference powers and use adaptive integrators to compensate for the remaining errors. We compare this control scheme to a method that uses PI controllers, and also to a simple decoupling method for independent control of active and reactive power. The controller based on the analytical method exhibits very good dynamic and decoupling performance. A single VOC-controlled inverter connected to a nonstiff grid is simulated in MATLAB/Simulink for demonstration, and is also validated using real-time simulations.
Reduced Equalization Needs of 100 GHz Bandwidth Plasmonic Modulators

As bit rates of optical interconnects increase, a large amount of complicated signal conditioning is needed to compensate for the insufficient bandwidth of current modulators. In this paper, we evaluate the reduced equalization requirements of high-bandwidth plasmonic modulators in short-reach transmission experiments. It is shown that transmission of 100 Gbit/s non-return-to-zero (NRZ) and 112 Gbit/s pulse-amplitude modulation-4 over 1 km and 2 km distance is possible without any receiver equalization. At higher bit-rates, such as 120 Gbit/s NRZ, data transmission is demonstrated over 500 m with reduced receiver equalization requirements. Transmission up to 200 Gbit/s over 1 km is also shown with more complex receiver equalization. The reduced complexity of the receiver digital signal processing is attributed to a flat frequency response of at least 108 GHz of the plasmonic modulators. All single wavelength transmissions have been performed at 1540 nm in standard single mode fiber.
Comparison of shipbuilding and construction industries from the product structure standpoint

The use of building information modelling (BIM) in construction compares to the use of product lifecycle management (PLM) in manufacturing. Previous research has shown that it is possible to improve BIM with the features and the best practices from the PLM approach. This article provides a comparison from the standpoint of the bill of materials (BOM) and product structures. It compares the product beginning of life in both construction and shipbuilding industries. The research then tries to understand the use, form and evolution of product structures and BOM concepts in shipbuilding with the aim of identifying equivalent notions in construction. Research findings demonstrate that similar concepts for structuring information exist in construction; however, the relationship between them is unclear. Further research is therefore required to detail the links identified by the authors and develop an equivalent central structuring backbone as found in PLM platforms.
The General System Model of Vehicle TDM Effect on Urban Road Traffic

Rapid growing congestion in urban areas lead to wide adoption of travel demand management (TDM) policies. However, the effect evaluation of TDMs encounters great difficulty under existing traffic simulation models which in common require a complex road link system to be built and accurate attributes to be assigned to each link. To avoid the fallible and difficult establishing and calibrating process of existing methodologies, a novel way to analyze TDM is proposed in this paper. With travel demand being described as free-flow travel time of a trip and several macroscopic concepts defined, a theoretical methodology is proposed to reveal the interactions between supply and demand. Then the simulation of TDM is transformed into a classic state space analysis problem. Based on this methodology, the general system model of TDM effect on road traffic operation is set up. The proposed model is tested with three TDMs, including driving restriction, staggered shifts and change of trip length distribution. The results prove that the proposed model can provide fast analysis for TDM policies and has a broad application prospect in macro traffic simulation.
One-Speed Neutron Transport Eigenvalues for Reflected Slabs and Spheres

The monoenergetic transport equation with isotropic scattering and vacuum boundary conditions is applied to two-media spherical and plane systems. The mean-free-path is assumed to be the same even though the multiplication factors are different in both media. The two coupled integral equations that are obtained are numerically solved using the spatial Legendre polynomial method (Carlvik's method). Seven or more eigenvalues for various dimensions of the bodies are given, and the first five flux modes for some cases are plotted. In addition, for homogeneous systems, this paper presents more accurate and higher eigenvalues than those thus far known.
Remote Estimation of Biomass in Winter Oilseed Rape (Brassica napus L.) Using Canopy Hyperspectral Data at Different Growth Stages

The dry aboveground biomass (AGB) is an important parameter in assessing crop growth and predicting yield. This study aims to ascertain the optimal methods for the spectroscopic estimation of winter oilseed rape (WOR) biomass. The different fertilizer-N gradients WOR were planted to collect biomass data and canopy hyperspectral data in two years of field experiments. Correlation analyses and partial least squares regression (PLSR) were performed between canopy hyperspectral data and AGB, and the linear and non-linear regression models simulated the quantitative relation between the vegetation indices (VIs) and AGB at four different growth stages (seeding, bolting, flowering, and pod stage). The results indicated that VIs that were derived from canopy hyperspectral data could estimate AGB accurately: (1) At the seeding and bolting stage, the CIred edge showed excellent performance with the higher accuracy (R2 ranged from 0.60–0.95) as compared to the other six VIs (Green chlorophyll index (CIgreen), normalized difference vegetation index (NDVI), Green normalized difference vegetation index (GNDVI), ratio vegetation index (RVI), DVI, and soil adjusted vegetation index (SAVI)); (2) Correlation analyses and PLSR can effectively extract the feature wavelengths (800 nm and 1200 nm) for biomass estimation. The modified vegetation indices NDVI (800, 1200) significantly improved AGB estimation accuracy (R2 > 0.80, RMSE < 1530 kg/hm2, RPD > 2.3) without saturation phenomenon at the total for four stages, and retained good robustness and reduced the influence of flower and pod for estimating AGB; (3) it was vital to pay more attention to the near-infrared (NIR) bands that could represent WOR growth phenology, and selecting suitable VIs and modeling algorithms could also have a relatively large effect on the success of AGB estimation. The overall results indicated that WOR AGB could be reliably estimated by canopy hyperspectral data, although the plant architecture and coverage of WOR were significantly different during its entire growing period.
Unmanned aerial system applications in construction: a systematic review

Purpose Over the past decade, researchers have used unmanned aerial systems (UASs) in construction industry for various applications from site inspection to safety monitoring or building maintenance. This paper aims to assort academic studies on construction UAS applications, summarize logics behind using UAS in each application and extend understanding of current state of UAS research in the construction setting. Design/methodology/approach This research follows a systematic literature assessment methodology to summarize the results of 54 research papers over the past ten years and outlines the research trends for applying UASs in construction. Findings UASs are used in building inspection, damage assessment, site surveying, safety inspection, progress monitoring, building maintenance and other construction applications. Cost saving, time efficiency and improved accessibility are the primary reasons for choosing UAS in construction applications. Rotary-wing UASs are the most common types of UASs being used in construction. Cameras, LiDAR and Kinect are the most common onboard sensors integrated in construction UAS applications. The control styles used are manual, semi-autonomous and autonomous. Originality/value This paper contributes to classification of UAS applications in construction research and identification of UAS hardware and sensor types as well as their flying control systems in construction literature.
Adaptive Fuzzy Model for Determining Quality Assessment Services in the Supply Chain

The problem that is being addressed in this paper is to improve the services provided by company and achieve better communication between companies in the supply chain. Therefore, a qualitative assessment of service has been required. This service is characterized by a group of parameters, which are often inaccurately estimated values, as well as their importance for the evaluation system. This is often the result of assessor ́s uncertainty, variability of conditions, etc. Therefore, in the context of AM4SCM (Adaptive Model for Supply Chain Management) a mathematical model for evaluating the quality of services has been developed (FAM4QS Fuzzy Aggregation Method for Quality Service) which is based on the fuzzy arithmetic. Selection of different values for the degrees of fuzzy power mean, which are used for evaluation of parameters or groups of parameters of the system and the service, contributes to a better assessment and it is due to the varying nature of the parameters. The observed model was simulated on 17 supply chains on the territory of the Republic of Serbia. Service quality assessment is carried out based on data from the user requirements participants of supply chains binding the so-called fuzzy aggregation function.
An Adaptive-Phasor Approach to PMU Measurement Rectification for LFOD Enhancement

In this paper, we propose an integral data rectification strategy for phasor measurement units (PMUs) in multi-area power systems, comprising local data processing and central data recovery modules. The local data processing is designed for the purpose of detecting and eliminating false PMU measurements, which is performed in a decentralized manner, based on our previously developed dynamic state estimation technique; whereas the data recovery is performed in a centralized manner at the control center, based on a newly proposed adaptive-phasor approach. The recovered PMU measurements are then utilized in a low-frequency oscillation damping enhancement scheme, which is achieved by a modified proportional-integral (PI) power system stabilizer (PSS) mechanism embedded in the automatic voltage regulator structure of a synchronous generator. Control parameters of the PI-PSS are optimized by maximizing the critical damping ratio of the power system. This paper is intended to make a contribution to the need of high-quality data transmission in modern power grids with contemporary measuring technologies.
Single Production of Doubly Charged Higgs Boson via eγ Collision in Higgs Triplet Model

The Higgs triplet model (HTM) predicts the existence of a pair of doubly charged Higgs bosons H±±. Single production of H±± via eγ collision at the next generation e+e− International Linear Collider (ILC) and the Large Hadron electron Collider (LHeC) is considered. The numerical results show that the production cross sections are very sensitive to the neutrino oscillation parameters. Their values for the inverted hierarchy mass spectrum are larger than those for the normal hierarchy mass spectrum at these two kinds of collider experiments. With reasonable values of the relevant free parameters, the possible signals of the doubly charged Higgs bosons predicted by the HTM might be detected in future ILC experiments.
The development of a practitioner design science research canvas

Whether justified or not there is a disconnect between practice and research within the IS domain. For most that have commented on this disconnect, they have done so in the context of it being a limitation and while it has long been identified it has been very difficult to overcome. This has ultimately resulted in a very noticeable lack of engagement from practitioners in IS research, reinforcing the divide. One key factor that has been attributed to causing this disconnect has been the lack of clear and detailed guidelines for practitioners. With the objective of tackling this problem the article outlines the development of a Practitioner Design Science Research Canvas that aims to facilitate practitioners in becoming Practitioner-Researchers by guiding them through a Design Science Research project. The canvas itself has evolved through DSR over 3 iterations and has contributed to highly successful DSR projects from both a practice and research perspective.
A New Modified Firefly Algorithm for Optimizing a Supply Chain Network Problem

Firefly algorithm is among the nature-inspired optimization algorithms. The standard firefly algorithm has been successfully applied to many engineering problems. However, this algorithm might be stuck in stagnation (the solutions do not enhance anymore) or possibly fall in premature convergence (fall in to the local optimum) in searching space. It seems that both issues could be connected to the exploitation and exploration. Excessive exploitation leads to premature convergence, while excessive exploration slows down the convergence. In this study, the classical firefly algorithm is modified such that make a balance between exploitation and exploration. The purposed modified algorithm ranks and sorts the initial solutions. Next, the operators named insertion, swap and reversion are utilized to search the neighbourhood of solutions in the second group, in which all these operators are chosen randomly. After that, the acquired solutions combined with the first group and the firefly algorithm finds the new potential solutions. A multi-echelon supply chain network problem is chosen to investigate the decisions associated with the distribution of multiple products that are delivered through multiple distribution centres and retailers to end customers and demonstrate the efficiency of the proposed algorithm.
Publicly Verifiable Spatial and Temporal Aggregation Scheme Against Malicious Aggregator in Smart Grid

We propose a privacy-preserving aggregation scheme under a malicious attacks model, in which the aggregator may forge householders’ billing, or a neighborhood aggregation data, or collude with compromised smart meters to reveal object householders’ fine-grained data. The scheme can generate spatially total consumption in a neighborhood at a timestamp and temporally a householder’s billing in a series of timestamps. The proposed encryption scheme of imposing masking keys from pseudo-random function (PRF) between pairwise nodes on partitioned data ensures the confidentiality of individual fine-grained data, and fends off the power theft of n-2 smart meters at most (n is the group size of smart meters in a neighborhood). Compared with the afore-mentioned methods of public key encryption in most related literatures, the simple and lightweight combination of PRF with modular addition not only is customized to the specific needs of smart grid, but also facilitates any node’s verification for local aggregation or global aggregation with low cost overhead. The publicly verifiable scenarios are very important for self-sufficient, remote places, which can only afford renewable energy and can manage its own energy price according to the energy consumption circumstance in a neighborhood.