Miracle-dz/UniFAR-FTUs huggingface dataset:
Estimation, Minimization, and Validation of Commutation Loop Inductance for a 135-kW SiC EV Traction Inverter

With growing interests in low-inductance silicon carbide (SiC)-based power module packaging, it is vital to focus on system-level design aspects to facilitate easy integration of the modules and reap system-level benefits. To effectively utilize the low-inductance modules, busbar and interconnects should also be designed with low stray inductances. A holistic investigation of the flux path and flux cancellations in the module-busbar assembly, which can be treated as differentially coupled series inductors, is thus mandatory for a system-level design. This article presents a busbar design, which can be adopted to effectively integrate the CREE’s low-inductance 1.2-/1.7-kV SiC power modules. This article also proposes a novel measurement technique to measure the inductance of the module-busbar assembly as a whole rather than deducing it from individual components. The inductance of the overall commutation loop of the inverter that encompasses the SiC power module, interconnects, and printed circuit board (PCB) busbar has been estimated using finite-element analysis (FEA). Insights gained from FEA provided the guidelines to decide the placement of the decoupling capacitors in the busbar to minimize the overall commutation loop inductance from 12.8 to 7.4 nH, which resulted in a significant reduction in the device voltage overshoot. The simulation results have been validated through measurements using an impedance analyzer (ZA) with less than 5% difference between the extracted loop inductance from FEA and measurements. The busbar design study and the measurement technique discussed in this article can be easily extended to other power module packages. Finally, the 135-kW inverter has been compared to a similar high-power inverter utilizing a laminated busbar to highlight the performance of the former.
The Boreal Summer Madden–Julian Oscillation and Moist Convective Morphology over the Maritime Continent

While the boreal summer Madden–Julian oscillation (MJO) is commonly defined as a planetary-scale disturbance, the convective elements that constitute its cloud dipole exhibit pronounced variability in their morphology. We therefore investigate the relationship between the intraseasonal cloud anomaly of the MJO and the convective elements that populate its interior by simulating a boreal summer MJO event over the Maritime Continent using a cloud-resolving model. A progressive relationship between convective cell morphology and the MJO within the convectively enhanced region of the MJO was identified and characterized as follows: anomalously long-lasting cells in the initial phases, followed by an increased number of cells in the intermediate phases, progressing into more expansive cells in the terminal phases. A progressive relationship does not seem to exist within the convectively suppressed region of the MJO within the simulated domain, however. Within the convectively enhanced region of the MJO, the progressive relationship is partially explained by the evolution of bulk atmospheric characteristics, such as instability and wind shear. Positive midlevel moisture anomalies coincide with anomalously long-lasting convective cells, which is hypothesized to further cascade into an increase in convective cell volume, although variability in the number of convective cells seems to be related to an unidentified variable. This intraseasonal relationship between convective cell morphology and the boreal summer MJO within the Maritime Continent may have broader implications for the large-scale structure and evolution of the MJO, related to both convective moistening and cloud-radiative feedbacks.
Differentially Fed Dual-Circularly Polarized Antenna With Slow Wave Delay Lines

A differentially fed dual-circularly polarized (CP) antenna using slow wave delay lines (SWDLs) is investigated in this communication. The antenna consists of two pairs of dipoles, one of which is fed by slow wave feedlines and the other is fed by coplanar striplines (CPSs). Based on the slow wave effect, a 90° phase difference can be realized between the two pairs of dipoles. To achieve dual-CP operation, two orthogonally placed differentially fed baluns are used to drive the feedlines. Subsequently, four parasitic loops are introduced, aiming to obtain high isolation over a wide operation band. Meanwhile, a metal reflector is loaded for unidirectional radiation. Finally, a prototype of the proposed antenna is fabricated and tested. The measurements indicate that the dual-CP antenna realized a port isolation of 38.4% (1.43–2.11 GHz) for $\vert S_{\mathrm {dd21}}\vert < -15$ dB. Further, the measured −10 dB reflection coefficient bandwidth for the two ports is 1.36–2.40 GHz. Moreover, the dual-CP 3 dB axial ratio (AR) bandwidth is approximately 50.0% from 1.41 to 2.35 GHz. Owing to differential excitation, stable radiation patterns are obtained.
PELAYANAN SEKOLAH TERHADAP PELANGGAN PENDIDIKANDI SMP MUHAMMADIYAH 7 YOGYAKARTA

Penelitian ini bertujuan untuk mengungkap pelaksanaan pelayanan manajemen di sekolah yang terdiri dari manajemen peserta didik, manajemen tenaga pendidik dan kependidikan, serta manajemen sarana prasarana di SMP Muhammadiyah 7 Yogyakarta. Penelitian ini merupakan pengumpulan data meliputi deskriptif kualitatif. Instrumen penelitian menggunakan pedoman wawancara dengan teknik wawancara, observasi dan dokumentasi. Penelitian menunjukkan bahwa pengelolaan pelayanan manajemen sekolah di SMP Muhammadiyah 7 Yogyakarta yang focus pada manajemen peserta didik, manajemen pendidik dan tenaga kependidikan, juga sarana prasarana. Manajemensekolah meliputi manajemen siswa yang terdiri dari pelaksanaan perencanaan penerimaan peserta didik, yang dilakukan. Evaluasi hasilbelajar siswa sesuai standart dari pemerintah dan kebijakan sekolah. Manajemen pendidik dan tenaga kependidikan meliputi rekruitmen, seleksi, penerimaan, serta penugasan dapat melalui sekolah sendiri, jika memang tenaga yang dibutuhkan mendesak dan bekerjasama dengan PDM Cabang Kota Yogyakarta. Pengembangan untuk guru dan staff sekolah seluruhnya diatur sesuai kebijakan sekolah dalammengikutiberbagaiprogram pelatihan, seminar maupun diklat. Manajemen sarana prasarana sudah memenuhi kriteria sesuai yang diamanatkan Pemerintah dan pengadaannya uga perlu perencanaan untuk pembelian, pembuatan, maupun hi bah barang ke sekolah lain. Supaya kegiatan pengelolaan, penggunaaan, pertanggungjawaban dan pemeliharaan sarana prasarana tersebut berjalan baik, maka kepala sekolah menunjuk wakil kepala bidang sarana prasarana sebagai penanggungjawab keseluruhan bagian sarana prasarana. Kata Kunci : pelayanan sekolah, manajemen sekolah, pelanggan
Mechanisms and optimisations of 3D shock control bumps.

By using an efficient adjoint-based aerodynamic optimisation method, both the 2D and 3D bumps are optimised on an unswept wing with either a natural laminar flow aerofoil or a turbulent aerofoil. The mechanisms of the shock control bumps are analysed through pressure drag analysis, as well as wave drag analysis that uses a far-field method. It is shown that the bumps reduce both the wave drag and the form drag. Comparisons of the performance of these two types of bumps indicate that the 3D bump has an advantage over the 2D bump at lower-lift off-design conditions. A low-order geometrical model for the 3D bump is derived based on the correlations of the design parameters with respect to the strength and position of the original normal shock wave on the datum wing. A finite number of 3D shock control bumps are placed on a full 3D transonic swept wing. The designs of the 3D bumps have been optimised in advance on an infinite swept wing with a constant aerofoil section that is extracted from the midspan of a chosen 3D transonic wing. Further drag analysis exhibits the effects of the 3D bumps on the various drag components. The combined wing shape with 2D bump optimisations demonstrates the potential of designing a wing with low sweep angle. The feasibility of carrying out a large aerodynamic optimisation is demonstrated in the combined optimisation study of a BWB aircraft with 3D bumps.
On the analysis of crack‐closure behaviour using the phase‐field method together with the novel concept of Representative Crack Elements

For the analysis of crack closure behaviour and the determination of forces transferred across the crack, several stress‐based splits are used for the phase‐field method so far. Steinke and Kaliske [1] proposed a kinematic analysis of the crack‐closure behaviour for isotropic linear‐elastic material behaviour, which overcomes some important issues of the previous splits (volumetric‐deviatoric and spectral split). The paper presents a novel approach for the phase‐field method, which adopts the idea of a kinematic crack analysis. Therefore, an underlying representative model of a discrete crack is coupled to the phase‐field model in order to determine the degraded and the crack‐closure behaviour. Finally, a closed form solution of the approach is presented for linear elasticity and results for thermo‐elasticity are shown. The model is validated by showing self‐consistency and the results are compared to those from the previously mentioned splits.
Mean field surrogate model of a dilute and chaotic particle suspension

We present a mean field approximation for a dilute suspension of small particles, which accounts for a non‐homogeneous particle distribution and small inertial effects of the particle phase. The model consists of the momentum equation for the fluid coupled to a transport equation for the probability density function on the particle phase space. Apart from the well‐known particle extra stress tensor first presented by Batchelor (1970), the fluid equation contains additional force terms resulting from inertia and hydrodynamic interaction of the particles. A brief sketch of the main derivation steps is presented.
Control Synthesis for Discrete-Time T–S Fuzzy Systems Based on Membership Function-Dependent $H_{\infty }$ Performance

This article focuses on disturbance attenuation problem for discrete-time Takagi–Sugeno (T–S) fuzzy systems. First, a membership function-dependent <inline-formula><tex-math notation="LaTeX">$H_{\infty }$</tex-math></inline-formula> performance index is proposed, by which, different performance can be achieved for local subsystems. Then, the better performance may be obtained for the T–S fuzzy system that works on a particular local subsystem most of the time. It may guarantee better control effects in practical engineering applications. With the help of the newly defined performance index and fuzzy Lyapunov functions, an observer-based feedback control scheme is presented in the form of linear matrix inequalities. In simulation, the performance index obtained by this article can be improved by about <inline-formula><tex-math notation="LaTeX">$10\%$</tex-math></inline-formula> than that obtained by the traditional <inline-formula><tex-math notation="LaTeX">$H_{\infty }$</tex-math></inline-formula> control method.
A three-dimensional model of spiral null pair to form ion-scale flux ropes in magnetic reconnection region observed by Cluster

The magnetic structure and topology of the three-dimensional magnetic reconnection region are significantly dynamic and complex. Small-scale flux ropes and magnetic null points are frequently detected in the reconnection outflow region and diffusion region due to the increased in situ measurements at high temporal cadences. Previous studies have demonstrated that X-line and small-scale flux ropes are both related to null points. In this study, by applying a fitting-reconstruction method with the input of the Cluster dataset, we reveal three types of spiral null pairs that serve as the skeleton of the flux ropes. Two spiral nulls can be connected by a spine, or by a separator, or by both a spine and a separator. A theoretical model is proposed to explain these spiral null pairs. The observational results and the model indicate that the number of magnetic loops of the flux rope is restricted by the linkage pattern of two nulls, while the flux rope is confined by the two nulls and their fan surfaces. The model predicts that the magnetic perturbations in the reconnection region can transform the linkage types of the nulls and eventually lead to the evolution of flux ropes.The magnetic structure and topology of the three-dimensional magnetic reconnection region are significantly dynamic and complex. Small-scale flux ropes and magnetic null points are frequently detected in the reconnection outflow region and diffusion region due to the increased in situ measurements at high temporal cadences. Previous studies have demonstrated that X-line and small-scale flux ropes are both related to null points. In this study, by applying a fitting-reconstruction method with the input of the Cluster dataset, we reveal three types of spiral null pairs that serve as the skeleton of the flux ropes. Two spiral nulls can be connected by a spine, or by a separator, or by both a spine and a separator. A theoretical model is proposed to explain these spiral null pairs. The observational results and the model indicate that the number of magnetic loops of the flux rope is restricted by the linkage pattern of two nulls, while the flux rope is confined by the two nulls and their fan surfaces. The mod.
Electric drives on the basis of doubly fed induction motor

The article describes the design and principle of operation of a doubly fed induction motor, which is a special class of electrical machines that combine two principles – electromagnetic reduction and doubly fed. The methods of control of this motor are listed. Doubly fed induction motor have six control actions, which allows by their combination to create electric drives with different functional properties and principles of construction. A general assessment of the properties and capabilities of an electric drive on the basis of doubly fed induction motor is given.
Relation Between the Benign Paroxysmal Positional Vertigo and Environmental and Climatic Factors

Giriş Vertigo genel popülasyonda sık görülen bir semptomdur. Baş pozisyonunun yerçekimi yönüne göre değişimiyle ortaya çıkan kısa süreli rotatuar ataklarla karakterizedir (1, 2). Genellikle ani başlangıçlıdır ve sıklıkla uykudan uyanma sırasında yatakta hissedilir. Hastalar sıklıkla vertigonun baş hareketleriyle, yukarı veya aşağı bakışlarda ve yatakta dönmeler sırasında tekrarladığından bahsederler. Bulantı veya kusma azımsanmayacak sıklıkta bu duruma eşlik eder.
Normalized ?&, Controller Reduction with A Priori Bounds

This paper describes an approach to the reduction of controllers for the normalized coprime factor robustness problem as well as the normalized 31, problem. It is shown that a relative error approximation of a coprime factor representation of any suboptimal controller leads to a stability guarantee and an upper bound on the performance degradation when the reduced order controller is implemented. When the approximation is performed on the controller generator, guaranteed a priori stability and performance bounds are obtained in terms of the synthesis Riccati equation solutions of the normalized 31, control problems.
Erratum: Quantum simulation of long-range 
XY
 quantum spin glass with strong area-law violation using trapped ions [Phys. Rev. A 
99
, 052342 (2019)]

Ground states of local Hamiltonians are known to obey the entanglement entropy area law. While area law violation of a mild kind (logarithmic) is commonly encountered, strong area-law violation (more than logarithmic) is rare. In this paper, we study the long range quantum spin glass in one dimension whose couplings are disordered and fall off with distance as a power-law. We show that this system exhibits more than logarithmic area law violation in its ground state. Strikingly this feature is found to be true even in the short range regime in sharp contrast to the spinless long range disordered fermionic model. This necessitates the study of large systems for the quantum $XY$ spin glass model which is challenging since these numerical methods depend on the validity of the area law. This situation lends itself naturally for the exploration of a quantum simulation approach. We present a proof-of-principle implementation of this non-trivially interacting spin model using trapped ions and provide a detailed study of experimentally realistic parameters.
Stalna dostava razvojnih okolij

Diplomsko delo zajema postopek implementacije postavitvenega cevovoda, ki bo na realnem primeru podjetja podprl pristop stalne dostave programske opreme skupaj z okoljem. Svoj delovni proces podjetje definira z uporabo agilnega pristopa in ogrodja SCRUM. Tak nacin dela od razvojne ekipe zahteva, da v kratkih intervalih oziroma t.i. ``sprintih`` izdaja nove razlicice svojih izdelkov. Sledenje takemu nacinu dela zahteva vecjo porabo virov, s cimer se pojavi potreba po avtomatizaciji razvojnih procesov. Konkretno smo se posvetili konfiguraciji potrebne infrastrukture v povezano celoto oziroma cevovod in razvoju HTTP strežnika, ki kot zadnji korak v procesu omogoca postavitev celotne programske resitve oziroma projekta v koncno okolje. Koncno okolje bo zaenkrat le razvojno, bomo pa pokazali, zakaj produkt se ni popolnoma primeren za tak nacin postavitve v produkcijskih okoljih. Cilj nasega dela je omogociti vsakemu od razvijalcev postavitev lastnega lokalnega okolja projekta. Tako okolje mora biti ponovljivo ter enostavno za reprodukcijo. Podpirati mora posodobitve in povrnitev v prejsnje stanje ob razvijalcevi prožitvi postopka. Za postavitev okolij smo uporabili tehnologiji Docker in Kubernetes, ki zaradi svojih znacilnosti dobro dopolnjujeta pristop stalne dostave.
Deep Feature-Based Multitask Joint Sparse Representation for Hyperspectral Image Classification

Deep multiscale features extracted from diverse perspectives present a more powerful ability than shallow ones for hyperspectral image (HIS) classification. In this letter, we proposed a deep feature-based multitask joint sparse representation (D-MJSR) method. First, filter banks transferred from the pretrained VGG16 network are utilized to extract multiscale features of HSI. Then, features from each scale layer are respectively and collaboratively fused with the raw spectral feature and then upsampled by bilinear interpolation to reach the input size. Finally, with the advantages of feature distribution at different scales, JSR under multitask dictionaries is introduced to achieve the final classification, where samples are represented by dictionaries with different scale spaces independently, and neighborhood samples in each scale are represented by the same atoms wherever possible. We evaluate the proposed method D-MJSR by two public hyperspectral data sets quantitatively. Compared with existing feature extraction and SR-based methods, our method presents some significant improvement in classification accuracy.
TRAPPIST OBSERVATIONS OF SODIUM JETS FROM IO

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Optimalizace váhové funkce amplitudy WLFM radarových pulsů pomocí genetického algoritmu

This paper deals with optimization of amplitude weight function for linear frequency modulated radar pulses. The purpose of article is to describe optimization process using Genetic Algorithm for suppressing side - lobes of the Ambiguity function. There are also depicted properties of weighted linear frequency modulation waveform. Results are compared with Kaiser window ing technique.
ALMOND: Adaptive Latent Modeling and Optimization via Neural Networks and Langevin Diffusion

Abstract Latent variable models cover a broad range of statistical and machine learning models, such as Bayesian models, linear mixed models, and Gaussian mixture models. Existing methods often suffer from two major challenges in practice: (a) a proper latent variable distribution is difficult to be specified; (b) making an exact likelihood inference is formidable due to the intractable computation. We propose a novel framework for the inference of latent variable models that overcomes these two limitations. This new framework allows for a fully data-driven latent variable distribution via deep neural networks, and the proposed stochastic gradient method, combined with the Langevin algorithm, is efficient and suitable for complex models and big data. We provide theoretical results for the Langevin algorithm, and establish the convergence analysis of the optimization method. This framework has demonstrated superior practical performance through simulation studies and a real data analysis. Supplementary materials for this article are available online.
The ‘Mathematics Problem’ and preservice post primary mathematics teachers – analysing 17 years of diagnostic test data

In the mathematics education literature, subject matter knowledge is well recognized as the cornerstone of a mathematics teacher’s knowledge base. Though the ‘Mathematics Problem’, the declining standards of students’ mathematical abilities upon entering tertiary education, is well documented in many countries, its effect on preservice mathematics teachers has not yet been analyzed to date. Therefore, we analyze 17 years of data (1997–2013) from a mathematics diagnostic test taken by preservice post primary mathematics teachers (n = 365) during their first mathematics class in a teacher training institution. Our analysis shows that the mathematical knowledge of preservice teachers has declined in all of the assessed core areas of arithmetic, algebra, geometry and calculus, with the more recent years of 2007–2013 showing more rapid decline than the years before. In fact, the average-performing preservice teacher in 1997 achieved a higher score than almost all preservice teachers in more recent years.
Note on the Cyclotomic Polynomial Topologically

Abstract Coefficients of the cyclotomic polynomial can be interpreted topologically, as the torsion in the homology of a certain simplicial complex associated with the degree of the cyclotomic polynomial, which was studied by Musiker and Reiner. We answer a question posed by the two authors regarding homotopy type of certain subcomplexes of the associated simplicial complex when the degree of the cyclotomic polynomial is a product of three distinct primes.
Deep Learning na segurança computacional: detecção inteligente de códigos maliciosos

O aumento na quantidade de malwares e suas familias amplificou os problemas de deteccao automatica e classificacao de suas novas variantes. Na medida que as ameacas computacionais evoluem, tambem cresce a necessidade de mecanismos de defesa efetivos para proteger os dispositivos. Porem, torna-se progressivamente mais dificil blindar terminais de serem infectados. Sao necessarias ferramentas que identifiquem os codigos maliciosos residentes nos sistemas para lidar com os casos nos quais esquemas de prevencao contra malwares nao funcionarem. Neste trabalho de conclusao de curso, e investigado em etapas a aplicacao de uma arquitetura de Redes Neurais Profundas (do ingles Deep Neural Network, DNN) para deteccao de malwares com base em suas chamadas de funcoes do sistema operacional. A estrutura do modelo Deep Learning utiliza um AutoEncoder e as sequencias de chamadas dos malwares para extracao de caracteristicas, formando vetores que funcionam como as assinaturas dos codigos maliciosos. Amostras de codigos maliciosos e benignos foram utilizadas para treinar e testar os classificadores. A efetividade do AutoEncoder construido em facilitar a correta classificacao dos codigos maliciosos ficou evidente pelos resultados obtidos com os classificadores.