Miracle-dz/UniFAR-FTUs huggingface dataset:
Distributed finite‐time control for Markovian jump systems interconnected over undirected graphs with time‐varying delay

This study considers the problems of stochastic finite-time stability analysis and distributed finite-time control for Markovian jump systems interconnected over undirected graphs with time-varying delay. First, the concepts of the well-posedness, stochastic finite-time boundedness and contractiveness for the class of systems are introduced, and the control problem formulation is presented. Then, a sufficient condition on the well-posedness, stochastic finite-time boundedness and contractiveness for the resulting closed-loop systems is proposed by a set of non-linear matrix inequalities in some given finite-time interval. For decoupling this non-linearity, a sufficient condition on the existence of a mode-dependent distributed dynamic output feedback controller is established in terms of linear matrix inequalities with some fixed parameter. Moreover, the obtained controller, which not only inherits the structure of the plant but also has the same jumping process as the plant, can guarantee that the closed-loop system is stochastic finite-time bounded and contractive in some given finite-time interval. Furthermore, an algorithm is presented to obtain the parameters of such controllers. Finally, a numerical simulation is presented to show the validity of the proposed method.
Do Poverty and Economic Inequality Matter for Neonatal Mortality? International Comparison of Macro-Level Deterministic Patterns of Early-Age Mortality

While socioeconomic determinants of infant mortality have received substantial attention in the literature, determinants of neonatal and post-neonatal mortality have rarely been analysed and compared. By making use ofWorld Bank data, this country-level study aims to highlight different patterns of association of poverty and income inequality with mortality occurring in the neonatal and post-neonatal periods, controlling for other socioeconomic variables. Poverty is found to be the major determinant of both mortality outcomes, while economic inequality is not a predictor of early-age mortality. This is perhaps because this analysis considers only countries where many households may lack resources for an adequate living standard; in such a context, the absolute level of poverty, rather than its distribution, has an effect on infant health. Moreover, a non-monetary manifestation of poverty, namely access to clean water, is a predictor of both mortality outcomes, probably due to its association with water-borne diseases. By identifying the socioeconomic factors associated with early-age mortality, this study has implications for social policies designed to tackle neonatal and post-neonatal mortality and can partly explain the stagnation in neonatal mortality rates observed over the last decades.
Implementasi Local Binary Pattern untuk Deteksi Keaslian Mata Uang Rupiah

Penelitian ini dirancang untuk mendeteksi keaslian mata uang rupiah dengan mengimplementasikan metode Local Binary Pattern (LBP). Metode ini memberikan tingkat keakuratan yang cukup tinggi. Ekstraksi LBP mengenalkan fitur-fitur pada tekstur permukaan uang kertas. Proses ekstraksi ciri dilakukan berdasarkan pada hasil perbaikan citra dan grayscaling dari proses akuisisi data citra uang dengan kamera smartphone. Sampel yang digunakan pada penelitian ini adalah pecahan 50.000 dan 100.000 rupiah. Dari hasil penelitian ini, metode LBP memperoleh akurasi tertinggi yaitu sebesar 100% bervariasi tergantung dari jumlah data pelatihan yang dilakukan. Sedangkan rata-rata akurasi dari total 120 data uji dengan masing – masing 30 set data pecahan 50k asli, 30 set data pecahan 50k palsu dan 30 set data pecahan 100k asli dan 30 set data pecahan 100k palsu adalah sebesar 95% dengan nilai k=1. Dimana 95% terdeteksi benar dan 5% terdeteksi salah. Penelitian ini menunjukkan bahwa metode Local Binary Pattern berpotensi untuk mendeteksi keaslian uang kertas rupiah.
WATERMARKING AND ANALYSING DIGITAL IMAGE APPLICATION.

Uploading and sharing pictures on Internet seems to be common things to do nowadays and these pictures eventually will be downloaded back or repeatedly sharing among the user making the pictures less secure and easier to be manipulated for other purpose. One of the ways to protect these pictures is by using watermark. Watermark is capable of carrying information as authentication or authorization codes, or a legend essential for image interpretation. The capability is envisaged to find application in image tagging, copyright enforcement, counterfeit protection and controlled access. Nevertheless, by embedding the watermark itself is not going to strengthen the security, thus the ability to analyse the modified pictures are well demanded. By analysing the pictures, it can verify the content and detect the differences between two images or in other context; which are original digital image and modified digital image. Therefore, a system is proposed to combine both watermark and analysing ability features in one system to enhance security to the pictures. We conducted analysis on digital image from various format of image’s metadata. It is hope that the proposed combination methods can be one of the method to ensure digital image is more secure and reliable .
Full waveform inversion in a MCMC framework

Full-waveform inversion within a deterministic framework commonly uses gradient-based methods to minimize a least-squares error function. Due to the non-linearity of the problem, this function has several local minima. To avoid them, it is necessary to start the optimization procedure from a good initial model. Within a probabilistic framework, Markov Chain Monte Carlo methods are used to sample a probability density function that represents the possible solutions. In high-dimensional problems, traditional MCMC methods become inefficient as random transitions are unlikely to find the regions of high probability. Hamiltonian Monte Carlo appears as a method that can efficiently find these regions without spending computation time on regions of no interest. To evaluate the probability of a sample, the least-squares error is calculated. Synthetic data is obtained through an existing 2D frequency domain full-wave modelling code and compared to the observed data. Through the Hamiltonian Monte Carlo sampler, the high probability regions are sampled and used to build the probability density function that represents the possible solutions. The algorithm was tested with both synthetic and real data. For the synthetic case a 1D model was inverted. The normalized least-squares error was reduced by 98%. In the deepest section the true model lies outside the uncertainty range of the estimated model. This appears as the result of sampling narrow regions of the probability density function. Then, the variance of the samples is underestimated and therefore the error. For the real dataset, a 2D model was inverted. This model lacks some of the large-scale features compared to deterministic full-waveform inversion results. However, a good model was found without any a priori information and almost any manual intervention. This suggest that, at least for the studied example, the algorithm can provide a good starting model for deterministic full-waveform inversion. The results obtained through this approach are almost identical to those obtained with more labour intensive adjustments.
A Series DC Arc Fault Detection Method Based on Steady Pattern of High-Frequency Electromagnetic Radiation

Due to detection difficulties, dc arc faults are one of the most dangerous risks in dc power systems. Most traditional studies are based on arc current, which may change during normal operation and cause unwanted trips. Another problem with the traditional methods is that the detection threshold may need to be adjusted for different photovoltaic (PV) systems; otherwise, it will cause malfunctions. To solve the aforementioned problems, a series arc fault detection method based on steady patterns of the frequency domain is proposed. The proposed method utilizes the electromagnetic radiation (EMR) emitted by an arc as a testing basis, avoiding the occurrence of unwanted trips. Patterns such as the structural similarity index (SSIM) and 6-dB bandwidth bins (6-dB BWBs) are calculated to extract the similarity of the steady-burning arc spectra. The experimental verification shows that the proposed steady-pattern-based method can accurately identify arc faults in different dc power systems, discriminate arc faults from normal operations, effectively avoid the occurrence of malfunctions, and can be used as a supplementary technique to traditional methods.
Study on the Effect of Response Spectrum Analysis and Construction Sequence Analysis on Setback Steel Structure

This paper presents the effect of response spectrum analysis and construction sequence analysis on the setback steel structure. In this study, the proposed building is eleven-storey setback steel structure. The length of the proposed building is 78ft and width is 66ft. The effective height of proposed building is 142ft. This building is located in Mandalay. So it is situated not only destructive zone but also basic wind speed, 80mph. The structure is composed of special moment resisting frame (SMRF). Structural elements are designed according to AISC 360-10[2]. Load consideration and stability checking for proposed building are based on ASCE 7-10 [3]. The analysis and design of the proposed structure model is done with the help of ETABS 2016 version 16.2. 1 software [6]. The present study involves response spectrum analysis (RSA) and construction sequence analysis (CSA), which are done on a setback steel structure and the structural analysis results such as storey displacement, maximum axial force, maximum shear force and maximum bending moment of the structural frame elements are compared. The maximum storey displacement with CSA is increased by 56% than the displacement with RSA. The maximum axial force on columns with CSA is increased by 48% than axial force with RSA. The maximum shear forces and bending moments with CSA are more than shear forces and bending moments with RSA.
Sputtered Mo
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 SQUID-on-Tip for High-Field Magnetic and Thermal Nanoimaging

Scanning nanoscale superconducting quantum interference devices (SQUIDs) are gaining interest as highly sensitive microscopic magnetic and thermal characterization tools of quantum and topological states of matter and devices. Here we introduce a novel technique of collimated differential-pressure magnetron sputtering for versatile self aligned fabrication of SQUID on tip (SOT) nanodevices, which cannot be produced by conventional sputtering methods due to their diffusive, rather than the required directional point-source, deposition. The new technique provides access to a broad range of superconducting materials and alloys beyond the elemental superconductors employed in the existing thermal deposition methods, opening the route to greatly enhanced SOT characteristics and functionalities. Utilizing this method, we have developed MoRe SOT devices with sub-50 nm diameter, magnetic flux sensitivity of 1.2 $\mu\Phi_0/Hz^{1/2}$ up to 3 T at 4.2 K, and thermal sensitivity better than 4 $\mu K/Hz^{1/2}$ up to 5 T, about five times higher than any previous report, paving the way to nanoscale imaging of magnetic and spintronic phenomena and of dissipation mechanisms in previously inaccessible quantum states of matter.
A review: Towards practical attack taxonomy for industrial control systems

Supervisory Control and Data Acquisition (SCADA) system is the underlying control system of most national critical infrastructures such as power, energy, water, transportation and telecommunication. In order to understand the potential threats to these infrastructures and the mechanisms to protect them, different types of cyber-attacks applicable to these infrastructures need to be identified. Therefore, there is a significant need to have a comprehensive understanding of various types of cyber-attacks and its classification associated with both Opera-tion Technology (OT) and Information Technology (IT). This paper presents a comprehensive review of existing cyber-attack taxonomies available in the literature and evaluates these taxonomies based on defined criteria
Force reconstruction based on the union of singular spectral analysis and regularization method

Abstract To overcome the problem of some ill-posed inverse problem of force reconstruction, which is caused by the noise in the measured responses and small singular values of the structure, a technology of force reconstruction based on a hybrid method of singular spectral analysis (SSA) and the Landweber regularization method is proposed in this study for the first time. The SSA is used to filter the structural response before using Landweber regularization. A new choice method of phase space reconstruction dimension is theoretically proposed, and the minimum embedding dimension is determined by the concept of optimizing difference spectrum theory. The feasibility of this method was demonstrated through three kinds of force reconstructions. The numerical simulation results and an acoustic vibration experiment demonstrated that the proposed method is more effective than the traditional method. Communicated by Wei-Chau Xie.
Identification of Linear Models From Quantized Data: A Midpoint-Projection Approach

In this article, we consider the identification of linear models from quantized output data. We develop a variational approximation of the likelihood function, which allows us to find variationally optimal approximations of the maximum-likelihood and maximum a posteriori estimates. We show that these estimates are obtained by projecting the midpoint in the quantization interval of each output measurement onto the column space of the input regression matrix. Interpreting the quantized output as a random variable, we derive its moments for generic noise distributions. For the case of Gaussian noise and Gaussian independent identically distributed input, we give an analytical characterization of the bias, which we use to build a bias-compensation scheme that leads to consistent estimates.
Fractional relaxation noises, motions and the fractionalenergy balance equation

Abstract. We consider the statistical properties of solutions of the stochastic fractional relaxation equation that has been proposed as a model for the earth's energy balance. In this equation, the (scaling) fractional derivative term models energy storage processes that occur over a wide range of space and time scales. Up until now, stochastic fractional relaxation processes have only been considered with Riemann-Liouville fractional derivatives in the context of random walk processes where it yields highly nonstationary behaviour. For our purposes we require the stationary processes that are the solutions of the Weyl fractional relaxation equations whose domain is −∞ to t rather than 0 to t. We develop a framework for handling fractional equations driven by white noise forcings. To avoid divergences, we follow the approach used in fractional Brownian motion (fBm). The resulting fractional relaxation motions (fRm) and fractional relaxation noises (fRn) generalize the more familiar fBm and fGn (fractional Gaussian noise). We analytically determine both the small and large scale limits and show extensive analytic and numerical results on the autocorrelation functions, Haar fluctuations and spectra. We display sample realizations. Finally, we discuss the prediction of fRn, fRm which – due to long memories is a past value problem, not an initial value problem. We develop an analytic formula for the fRn forecast skill and compare it to fGn. Although the large scale limit is an (unpredictable) white noise that is attained in a slow power law manner, when the temporal resolution of the series is small compared to the relaxation time, fRn can mimick a long memory process with a wide range of exponents ranging from fGn to fBm and beyond. We discuss the implications for monthly, seasonal, annual forecasts of the earth's temperature.
System specification and design structuring methods for a lock product platform

• A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
CLEAR – Simple Corpus for Medical French

Availability of corpora with technical and simplified contents is crucial for the development and test of methods for text simplification. We describe this kind of corpus for the French medical language. The corpus contains texts from three sources: encyclopedia, drug leaflets and scientific summaries. Each source proposes comparable information in specialized and plain languages. A subset of this corpus has been processed manually in order to find and align parallel sentences. This subset currently contains 663 pairs with parallel sentences. Alignment has been done by two annota-tors and shows 0.76 inter-annotator agreement .
Out-of-equilibrium mechanochemistry and self-organization of fluid membranes interacting with curved proteins

The function of biological membranes is controlled by the interaction of the fluid lipid bilayer with various proteins, some of which induce or react to curvature. These proteins can preferentially bind or diffuse towards curved regions of the membrane, induce or stabilize membrane curvature and sequester membrane area into protein-rich curved domains. The resulting tight interplay between mechanics and chemistry is thought to control organelle morphogenesis and dynamics, including traffic, membrane mechanotransduction, or membrane area regulation and tension buffering. Despite all these processes are fundamentally dynamical, previous work has largely focused on equilibrium and a self-consistent theoretical treatment of the dynamics of curvature sensing and generation has been lacking. Here, we develop a general theoretical and computational framework based on a nonlinear Onsager’s formalism of irreversible thermodynamics for the dynamics of curved proteins and membranes. We develop variants of the model, one of which accounts for membrane curving by asymmetric crowding of bulky off-membrane protein domains. As illustrated by a selection of test cases, the resulting governing equations and numerical simulations provide a foundation to understand the dynamics of curvature sensing, curvature generation, and more generally membrane curvature mechano-chemistry.
Endothelial injury and repair in vasculitis of the young

The vasculitides are a wide spectrum of disorders which are characterised by vascular inflammation. Endothelial injury can occur as a consequence of inappropriate inflammation and is central to the pathogenesis of these varied diseases. This thesis documents the development of assays for detection of novel biomarkers of endothelial injury and/or activation and subsequent reparative responses in children with primary systemic vasculitis. It focuses in particular on circulating endothelial cells, cellular microparticles, growth factors involved in angiogenesis/vasculogenesis and endothelial progenitor cells. Circulating endothelial cells are mature endothelial cells which have become detached from the vessel wall and represent a highly damaged vasculature and were found to be significantly higher in children with active primary systemic vasculitis compared to healthy child controls and patients in remission. Microparticles are released from activated cells, including the endothelium and leukocytes. In this study endothelial and monocyte derived microparticles were found to be elevated during active vasculitis. Growth factors released in response to endothelial injury regulate reparative responses, of which endothelial progenitor cells may play a key role. In this study, patients at disease onset prior to treatment were found to have significantly higher levels of growth factors and endothelial progenitor cells, which decreased with remission inducing therapy. Overall this thesis has investigated the changes in these interlinked biomarkers of injury and repair during active disease, remission and disease flare.
Electronic and elastic properties of the multiferroic crystals with the Kagome type lattices -Mn3V2O8 and Ni3V2O8: First principle calculations

Abstract The electronic, mechanical, and optical properties of the Kagome staircase compounds, Mn3V2O8 and Ni3V2O8, have been investigated using the VASP (Vienna ab-initio Simulation Program) that was developed within the density functional theory (DFT). The spin polarized generalized gradient approximation has been used for modeling exchange-correlation effects. The electronic band structures for both compounds and total and partial density of states corresponding to these band structures have been calculated. Spin up (spin down) Eg values for Mn3V2O8 and Ni3V2O8 compounds are 0.77 eV indirect (3.18 direct) and 1.58 eV indirect (0.62 eV) direct, respectively. The band gaps of both compound is in the d-d character. Bulk modulus, shear modulus, Young's modulus, Poisson's ratio, anisotropic factors, sound velocity, and Debye temperature were calculated and interpreted.
ENHANCEMENT BANDWIDTH OF HALF WIDTH-MICROSTRIP LEAKY WAVE ANTENNA USING CIRCULAR SLOTS

This paper presents a new technique to enhance impedance bandwidth of single layer half width microstrip leaky wave antenna (HW-MLWA) with continuous main beam scanning. The enhancement is realized by etching four circular slots on the radiation element. Two of the circular slots are placed close to the feed port, and the others are close to the matching load. The wide main beam scanning is between +12◦ and +70◦ when operation frequency sweeps between 4.3 GHz and 6.5 GHz. A comparison between the Uniform HW-MLWA (reference) and the proposed HW-MLWA with circular slots is provided to study the effectiveness of the added circular slots. The proposed HW-MLWA is fabricated and tested. The measured impedance bandwidth is 49.9% (4.28 GHz to 7.13 GHz) with peak gain 10.31 dBi at 5 GHz, hence the proposed antenna can be considered as a suitable candidate for C-band applications.
m-Algebraic lattices in formal concept analysis

Abstract The notion of an m-algebraic lattice, where m stands for a cardinal number, includes numerous special cases, such as complete lattice, algebraic lattice, and prime algebraic lattice. In formal concept analysis, one fundamental result states that every concept lattice is complete, and conversely, each complete lattice is isomorphic to a concept lattice. In this paper, we introduce the notion of an m-approximable concept on each context. The m-approximable concept lattice derived from the notion is an m-algebraic lattice, and conversely, every m-algebraic lattice is isomorphic to an m-approximable concept lattice of some context. Morphisms on m-algebraic lattices and those on contexts are provided, called m-continuous functions and m-approximable morphisms, respectively. We establish a categorical equivalence between LATm, the category of m-algebraic lattices and m-continuous functions, and CXTm, the category of contexts and mapproximable morphisms.We prove that LATm is cartesian closed whenevermis regular and m > 2. By the equivalence of LATm and CXTm, we obtain that CXTm is also cartesian closed under same circumstances. The notions of a concept, an approximable concept, and a weak approximable concept are showed to be special cases of that of an m-approximable concept.