Miracle-dz/UniFAR-FTUs huggingface dataset:
Analytical Solution for Low-Velocity Impact Response of Composite Plates

An analytical model for the impact response of laminated composite plates is presented. The governing equations, which apply to small deflection elastic response of specially orthotropic laminates, include the combined effects of shear deformation, rotary inertia, and the nonlinear Hertzian contact law. For simply supported boundary conditions, a Fourier series solution is presented that, in contrast to previously published work, retains the frequencies associated with rotary inertia effects throughout the analysis. Errors that are incurred in the analysis of impact events, where the contact force history is obtained as part of the solution process, are investigated and guidelines to achieve converged solutions are recommended. For a benchmark impact problem, the present solution converges more rapidly than other analytical solutions available in the literature. Present analytical predictions are also found to agree well with the experimental results for composite fiber-reinforced plastic plates impacted by instrumented projectiles launched from both gas-gun and drop-weight test setups. The efficiency and robustness of the model in handling the complexities of the impact response of composite plates is further demonstrated by comparing the analytical predictions of contact force and fiber strain histories with those generated using detailed finite element analyses. The good agreement obtained instills confidence in using the model as a foundation for predictions of impact damage and response to penetrating impact events.
On the interchange instability

We reexamine the standard method for analyzing the stability of planetary magnetospheres against interchange motions of magnetic flux tubes and the plasma contained in them. This method consists of finding the change in potential energy e = ∫ [p/(γ - 1) + ρϕ] dV of two tubes of equal flux which exchange position, leaving the energy of the surrounding plasma and field unchanged. As an illustration, we study a cylindrically symmetric plasma with an embedded purely toroidal magnetic field. Our results for this geometry and for the nonrotating case are as follows. (1) The standard method, which takes into account changes in internal energy, p/(γ - 1), and gravitational energy, ρϕ, but not magnetic energy has been claimed to be valid for vanishing plasma pressure. We show it to be correct up to and including terms of order β, β being the ratio of plasma to magnetic pressure. (2) Toroidal equilibria having β of order unity or larger can be analyzed by interchanging tubes of unequal flux such that to first order in the displacement the surroundings are left unperturbed and by taking into account changes in the magnetic energy, B²/2µ0, of the two tubes. (3) Such equilibria can also be analyzed by considering the displacement of a single flux tube, taking into account resulting changes in the energy of the tube as well as the environment. For rotating equilibria we find that the standard method of replacing ρϕ by ρ(ϕ - r²Ω²/2) in e only gives a sufficient condition for stability. However, for the cylindrical equilibrium an exact marginal condition can be obtained from energy arguments, provided Coriolis effects are taken into account.
Burst-traffic based Dynamic Mobile Sink Path Planning in Wireless Sensor Networks

Due to its minimal protocol overhead, priori-trail planing for the mobile nodes is a frequent approach to data gathering in portable wireless sensor networks. Unfortunately, the trail-based methods do not have an effective load balancing mechanism to deal with the influx of WSN traffic that must be delivered to the ground station in a timely manner. In order to evenly distribute the load and prevent traffic jams, this article suggests using dynamic route planning for mobile sinks. It includes a grid-based network split, a priori-trail construction, knowledge and assessment of traffic spikes, a collaborative technique for sharing resources, and a dynamic routing adjustment. The suggested method has been tested experimentally on the NS-3 platform, where it was shown to achieve a low-delay and low-loss rate while balancing both steady and sudden data flows.
Semi Numerical Solution for a Boundary Value Problem

The flow of viscous incompressible fluid through a tube is considered. The similarity transformation is used to reduce the governing equations into nonlinear ordinary differential equation. The solution procedure includes application of long series analysis with polynomial coefficients. The series representing physical parameters ( ) reveal qualitative features which are comparable to pure numerical results. The analysis enables in extending region of validity. A complete description of the solutions is presented.
Dual-Band Substrate Integrated Waveguide (SIW) Cavity Slot Antenna for C-Band Applications

This paper presents a dual-band substrate integrated waveguide (SIW) cavity slot antenna with improved performance in terms of impedance matching, radiation efficiency, gain, and reduced cross-polarization level for C-band application. A pair of diagonal corner truncated L-shape slots on the SIW cavity generates circular polarization (CP) and linear polarization (LP). Two shorting pins are placed near a feed line to realize better impedance matching. A square patch antenna with truncated corners is designed on a SIW for circular polarization, and two shorting pins are used near the feed line for better impedance matching. The radiation pattern of the proposed antenna is LP at 5.43 GHz and CP at 5.98 GHz. The impedance bandwidth for reflection coefficient below -10 dB is between 5.35 to 5.55 GHz and 5.85-6.05 GHz for the lower and the upper band, respectively. In addition, a 3-dB axial ratio bandwidth of 0.375 GHz is observed at the upper band owing to the CP radiation. The measured peak realized gains of the LP mode and the CP mode are 8.13 dBi and 8.9 dBic. The radiation efficiencies at the lower and upper bands are above 89% and 88%, respectively. The measured results are in good agreement with the simulation data.
Scalable Distributed High-Order Stencil Computations

Stencil computations lie at the heart of many scientific and industrial applications. Stencil algorithms pose several challenges on machines with cache based memory hierarchy, due to low re-use of memory accesses if special care is not taken to optimize them. This work shows that for stencil computation a novel algorithm that leverages a localized communication strategy effectively exploits the second generation Cerebras Wafer-Scale Engine (WSE-2), which has no cache hierarchy. This study focuses on a 25-point stencil finite-difference method for the 3D wave equation, a kernel frequently used in earth modeling as numerical simulation. In essence, the algorithm trades memory accesses for data communication and takes advantage of the fast communication fabric provided by the architecture. The algorithm -historically memory-bound- becomes compute-bound. This allows the implementation to achieve near perfect weak scaling, reaching up to 503 TFLOPs on WSE-2, a figure that only full clusters can eventually yield.
Specialized Public High Schools of Science, Mathematics, and Technology and the STEM Pipeline: What Do We Know Now and What Will We Know in 5 Years?

Specialized public high schools of science, mathematics, and technology are commonly viewed as the “crown jewel” of their respective school districts and, many times, of their respective states. These schools are intended to coalesce the most academically talented, science-focused students in each district or state and typically draw excellent teachers as well. As the nation considers policies to address Science, Technology, Engineering, and Mathematics (STEM) education issues, options for additional functions are likely to arise. Currently no existing studies provide a comprehensive analysis of the contribution these schools make over and above regular high schools to the STEM pipeline. This article presents the extant literature on variables that have been shown to predict participation in STEM careers on the part of adolescents in and out of specialized high schools. The literature review is followed by a description of a recently embarked 3-year National Science Foundation (NSF)-sponsored study designed to answer the following questions: Are specialized STEM high-school graduates more likely to remain in the STEM pipeline than students with similar achievement and interests who attended regular public high schools? Which educational/instructional practices used by specialized STEM high schools are associated with higher STEM pipeline retention rates in college and higher rates of entrance into STEM-related professions?
Self-Supervised Denoising of single OCT image with Self2Self-OCT Network

In recent years, supervised deep learning of image denoising has attracted extensive research interests. Those methods usually required numerous pairs of noisy image and its corresponding clean image in training processing. However, in most real situations, it is hard to collect high-quality clean images such as optical coherence tomography (OCT) images. Therefore, it is of great significance to study a effective de-noising network without clean images for supervising, which is only trained with noisy image. In this article, for a single OCT image, we propose a self-supervised deep learning model called Self2Self-OCT network by improved the Self2Self network and added a loss function that can effectively remove the background noise of OCT images, which makes the whole training do not need correlative clean images. Specifically, we use gated convolution to replace the partial convolution layer of the encoder’s block in Self2Self. The input image and its Bernoulli sampling instance are put into our network respectively, and the background noise attenuation loss is added to loss function during training. The result is estimated based on the average value of multiple prediction outputs. The experiments with different OCT images indicate that proposed model not only has obvious advantages compared with the existing single deep learning methods and non-learning methods, but also surpasses the supervised learning of a small number of sample training.
QoS-Aware Irregular Collaborative Inference for Improving Throughput of DNN Services

With collaborative DNN inference, part of queries run on their source edge device to reduce latencies. Because edges show diverse performance and network conditions, different layers should run on different devices, and queries on the datacenter show irregular structures. However, emerging schemes are not able to process such irregular queries. We propose ICE, a collaborative inference service scheme that effectively supports irregular queries. ICE comprises a query slicer, a query manager, and a lag enhancer. The query slicer maps the execution of queries based on the edges' performance and network conditions. The query manager batches irregular queries adaptively and schedules the irregular queries based on their progress. The lag enhancer reduces the QoS violation when queries run slower due to interference on the edge. Experiments show that ICE improves the supported peak load of the datacenter by 43.2% on average while guaranteeing the required 99%-ile latencies compared with state-of-the-art techniques.
PERVASIVE FAINT Fe xix EMISSION FROM A SOLAR ACTIVE REGION OBSERVED WITH EUNIS-13: EVIDENCE FOR NANOFLARE HEATING

We present spatially resolved EUV spectroscopic measurements of pervasive, faint Fe xix 592.2 Å line emission in an active region observed during the 2013 April 23 flight of the Extreme Ultraviolet Normal Incidence Spectrograph (EUNIS-13) sounding rocket instrument. With cooled detectors, high sensitivity, and high spectral resolution, EUNIS-13 resolves the lines of Fe xix at 592.2 Å (formed at temperature T ≈ 8.9 MK) and Fe xii at 592.6 Å (T ≈ 1.6 MK). The Fe xix line emission, observed over an area in excess of 4920 arcsec2 (2.58 × 109 km2, more than 60% of the active region), provides strong evidence for the nanoflare heating model of the solar corona. No GOES events occurred in the region less than 2 hr before the rocket flight, but a microflare was observed north and east of the region with RHESSI and EUNIS during the flight. The absence of significant upward velocities anywhere in the region, particularly the microflare, indicates that the pervasive Fe xix emission is not propelled outward from the microflare site, but is most likely attributed to localized heating (not necessarily due to reconnection) consistent with the nanoflare heating model of the solar corona. Assuming ionization equilibrium we estimate Fe xix/Fe xii emission measure ratios of ∼0.076 just outside the AR core and ∼0.59 in the core.
On the Stresses in the Neighbourhood of a Circular Hole in a Strip under Tension

The problem of determining the stresses in a plate under tension when the material is pierced by one or more circular holes is one of both theoretical interest and practical importance. Provided that the plate may be regarded as infinitely extended in two dimensions, the solution for a single hole is easily found and is well known. The presence of the hole leads to the occurrence of stresses equal to three times the tension at infinity, these maximum stresses occurring at the edge of the hole and on the diameter perpendicular to the direction of the applied tension. More general stress systems, corresponding to the presence of tractions at the edge of the hole, may be studied by similar methods, not only when the plate is infinite but also when there is a second circular boundary concentric with the first. A number of special solutions for the infinite plate have recently been published by BICKLEY. The solution for a semi-infinite plate with one circular hole was obtained by JEFFREY, using bipolar co-ordinates,§ which may be applied also to the case of an infinite plate pierced by two holes
ALGEBRAS OF FINITE DIFFERENTIAL ORDER AND THE OPERATIONAL CALCULUS

The notions of topological spaces and of continuous functions are well established in mathematics. The related concepts of differentiable spaces and of differentiable functions have not as yet been introduced in a comparable broad and definitive form, as their study is classically confined mostly to locally euclidean spaces. The present work arose from wishes to extend part of the known results of the theory of differentiable manifolds, due to Whitney, to a larger class of spaces which are not required to be locally euclidean a priori. As a motivation to the question studied here, let us mention that an n-differentiable structure on a topological space X is definable by a topological algebra A of real continuous functions on X, A being the algebra of n-differentiable real functions on X and the topology of A being that of uniform convergence of a function and all its derivatives of order ? n on compact sets. A has to satisfy suitable requirements, among them the following two conditions. If d e X, let M(e) be the closed ideal of all f e A such that f (a) = 0. Then all the powers Ml(e), i > n + 1, are identical and A/Mn+,(;) is a local algebra whose maximal ideal has (n+-1)power equal to 0. Moreover, A is locally convex (? 3) with respect to the collection {Mn+,(f)}, a e X. Such a local convexity assumption expresses the local nature of A (rather its infinitesimal nature). Another property of A is that it has an operational calculus with ordinary differentiable functions, i.e., that f e A implies rp(f) e A for every n-differentiable real function q on the real line R, the mapping ((p, f ) --'p(f ) being continuous; and similarly for functions q of several variables. Since this second property of A can be shown to follow from the first, provided A is complete, we consider the question, "when do suitable local convexity assumptions imply existence of an operational calculus? " the answer to which is given by the theorem stated in ? 7. This article is devoted to the proof of the assertion that, if C is a category of pure separated algebras whose radicals are nilpotent and n > 0 is an integer, in order that every topological algebra which is
Predicting Reuse Interval for Optimized Web Caching: An LSTM-Based Machine Learning Approach

Caching techniques are widely used in the era of cloud computing from applications, such as Web caches to infrastructures, Memcached and memory caches in computer architectures. Prediction of cached data can greatly help improve cache management and hit rate. The recent advancement of deep learning techniques enables the design of novel intelligent cache replacement policies. In this work, we propose a learning-aided approach to predict future data accesses. We find that a powerful LSTM-based recurrent neural network can provide high prediction accuracy based on only a cache trace as input. The high accuracy results from a carefully crafted locality-driven feature design. Inspired by the high prediction accuracy, we propose a pseudo OPT policy and evaluate it upon 13 real-world storage workloads from Microsoft Cloud. Results demonstrate that our new policy improves the state-of-art by up to 19.2% and incurs only 2.3% higher miss ratio than OPT on average.
The Mean Pressure and Velocity in a Plane Acoustic Wave in a Gas

The one‐dimensional wave equation is discussed to the second order of approximation by means of a transformation that carries the equation from the Eulerian to the Lagrangean form. Airy's solution to this equation in Lagrangean form has been shown by Fubini to be an excellent approximation to an exact solution of Earnshaw's equation of motion; therefore, Airy's solution is chosen as the basis for much of this discussion. An expression for the local mean hydrostatic pressure in a plane progressive wave is obtained by transforming Airy's solution from particle to local coordinates. In a similar way, the particle velocity in fixed coordinates is shown to possess a time‐independent component proportional to, and in a direction opposite to, the intensity vector This d.c. counter‐velocity is predicted without recourse to viscous forces and is compatible with zero average mass velocity. For a sound pressure level of 151 decibels in air there should exist a steady particle velocity of 1 cm/sec. Small particles su.
Network Mapping for TDMA Mesh Sensor Networks with Flooding Routing

In this paper, we introduce a network mapping method for wireless sensor networks based on TDMA flooding routing protocol. The aim of the network mapping is to create a map of the entire network with all connections for further analysis. The network discovery method used for leasing Virtual Routing Numbers not provides enough information about all of the network connections. The introduced network mapping method take advantage of the TDMA flooding routing protocol based communication and create the adjacency matrix of the graph abstracted from the wireless sensor network topography.
SeqDLM: A Sequencer-Based Distributed Lock Manager for Efficient Shared File Access in a Parallel File System

Distributed locks are used to guarantee the distributed client-cache coherence in parallel file systems. However, they lead to poor performance in the case of parallel writes under high-contention workloads. We analyze the distributed lock manager and find out that lock conflict resolution is the root cause of the poor performance, which involves frequent lock revocations and slow data flushing from client caches to data servers. We design a distributed lock manager named SeqDLM by exploiting the sequencer mechanism. SeqDLM mitigates the lock conflict resolution overhead using early grant and early revocation while keeping the same semantics as traditional distributed locks. To evaluate SeqDLM, we have implemented a parallel file system called ccPFS using both SeqDLM and traditional distributed locks. Evaluations on 96 nodes show SeqDLM outperforms the traditional distributed locks by up to $\boldsymbol{10.3}\times$ for high-contention parallel writes on a shared file with multiple stripes.
W-Cycle SVD: A Multilevel Algorithm for Batched SVD on GPUs

As a basic matrix factorization operation, Singular Value Decomposition (SVD) is widely used in diverse domains. In real-world applications, the computational bottleneck of matrix factorization is on small matrices, and many GPU-accelerated batched SVD algorithms have been developed recently for higher performance. However, these algorithms failed to achieve both high data locality and convergence speed, because they are size-sensitive. In this work, we propose a novel W-cycle SVD to accelerate the batched one-sided Jacobi SVD on GPUs. The W-cycle SVD, which is size-oblivious, successfully exploits the data reuse and ensures the optimal convergence speed for batched SVD. Further, we present the efficient batched kernel design, and propose a tailoring strategy based on auto-tuning to improve the batched matrix multiplication in SVDs. The evaluation demonstrates that the proposed algorithm achieves 2.6∼10.2× speedup over the state-of-the-art cuSOLVER. In a real-world data assimilation application, our algorithm achieves 2.73∼3.09× speedup compared with MAGMA.
Millimeter-wave Wideband Half-Mode SIW Phase Shifter based on IDC Slots and Thin Dielectric Slab

This research work proposes a compact, low-profile, wideband half mode substrate integrated waveguide (HMSIW) phase shifter employing interdigital capacitor (IDC) slots and a very thin dielectric slab. The proposed phase shifter design is divided into three sections. An HMSIW with a series of rectangular grooves are etched on the top conducting layer to obtain the initial phase shift. Next, the IDC-based slots are engraved to further improve the phase shift. Lastly, the phase shift is obtained in wideband due to the extra loading of the dielectric slab patterned with rectangular strips that constitutes the final structure. The proposed three versions of the HMSIW phase shifter designs provide a phase shift of 15 degree, 70 degree, and 101 degree, respectively, for the three cases with an overlapping bandwidth of 24.6 GHz to 33.2 GHz corresponding to a fractional bandwidth of 29.7%.
Certifiable Solver for Real-Time N-View Triangulation

Cutting-edge field robotic systems, such as UAV or autonomous cars, demand fast and optimal solutions for any component at the core of their critical navigational tasks. Among them, we focus on the triangulation of image points from multiple views, which is a cornerstone for more complex tasks such as visual localization and SLAM. In this letter we present a fast and certifiable solver for the N-view triangulation problem that doesn't require any specific optimization software package and can be implemented with any linear algebra library. The proposal relies on a series of linear convexifications which, in the limit, recovers the original problem, allowing us to solve problem instances with $N=10$ views in 150 microseconds on a standard desktop computer. On real data our solver obtains and certifies the optimal solution in more than 99% of the problem instances.