Miracle-dz/UniFAR-FTUs huggingface dataset:
Coordinated Control for Constrained Multiple Spacecraft System

This paper investigates the coordinated control for multiple spacecraft system with state constraints. The proposed control scheme is with application to a novel multiple spacecraft system called tethered space net robot. The coordinated control strategies are proposed based on the artificial potential field method. Simulations show that the system can track the desired trajectory with the predetermined pattern and simultaneously avoid violating the constraints.
Experimental Characterization of Stall NoiseToward its Modelling

Summary Wind tunnel measurements of three different airfoils are investigated using surface pressure microphones ﬂush-mounted on the suction side of the airfoils. In stalled conditions, these microphones can be used to evaluate the convection velocity and the correlation length of the turbulent vortices that are generated in the separated region of the stalled ﬂow. In addition, stall is characterized by the appearance of a spectral hump at relatively low frequencies that can be measured by the microphones located in the separated region. Using appropriate normalization and scaling, a nearly universal model that can represent the behavior of the surface pressure spectra in this low frequency range is devised.
Particle and spin transport of rashba spin-orbit coupling system in a lattice and a continuous model

วิทยานิพนธนี้ศึกษาเชิงทฤษฎีเกี่ยวกับการขนสงอนุภาคและสปนในระบบผสมสองมิติท่ี ประกอบดวยโลหะและระบบท่ีมีคูควบสปนกับวงโคจรแบบรัชบา โดยจําลองลักษณะการเคลื่อนท่ี ของอนุภาคและสปนดวยแบบจําลองแลททิส เพ่ือศึกษาผลของสภาพนําไฟฟาท่ีอุณหภูมิศูนยเคลวิน แลวเปรียบเทียบกับการศึกษาระบบดังกลาวดวยการจําลองลักษณะการเคลื่อนท่ีของอนุภาคและ สปนดวยแบบจําลองตอเนื่อง นอกจากนั้นไดใชการจําลองอนุภาคแบบแลททิสพิจารณาหาสปนโพ ลาไรเซซันของสภาพนําไฟฟาของระบบ สําหรับการจําลองอนุภาคแบบตอเนื่อง ผลของคาสภาพนําไฟฟาถูกพิจารณาเปนฟงกชัน ของแรงดันไฟฟา พบวาแรงดันไฟฟาระหวางจุดเร่ิมตนถึงจุดการเปลี่ยนของเสนสเปกตรัมรวมของ สภาพนําไฟฟาของระบบมีคาเทากับขนาดของพลังงานของระบบรัชบา นอกจากนั้นอิทธพลของ ความหนาแนนของอิเล็กตรอนและความแรงของระบบรัชบาไดถูกพิจจารณาตอคาสภาพนําไฟฟาท่ี ระดับพลังงานเฟอรมิ พบวา คาสภาพนําไฟฟาเพิ่มขึ้นเมื่อจํานวนความหนาแนนของอิเล็กตรอน เพ่ิมขึ้น และเกิดจุดเปลี่ยนแปลงของสภาพนําไฟฟาเมื่อความหนาแนนของอิเล็กตรอนเทากับจุดตัด กันของแถบพลังงานของระบบรัชบา ในขณะท่ีสภาพนําไฟฟาลดลงเม่ือความแรงของการคูควบ สปนกับวงโคจรของระบบรัชบาเพ่ิมขึ้นจนถึงคาวิกฤต หลังจากคาวิกฤต คาสภาพการนําไฟฟาจะมี ขนาดเพ่ิมขึ้นตามความแรงของการคูควบสปนกับวงโคจรของระบบรัชบา สําหรับการจําลองอนุภาคแบบแลททิส เงื่อนไขท่ีเหมาะสมที่รอยตอไดถูกพิจารณาขึ้นเพ่ือ คํานวณหาสภาพนําไฟฟาของระบบซึ่งเปนฟงกชันของแรงดันไฟฟา ซึ่งแบบจําลองนี้สามารถ คํานวณหาสภาพนําไฟฟาไดท้ังอิเล็กตรอนและโฮล พบวาเม่ือรอยตอไมโปรงใส (รอยตอท่ีสามารถ ปรับเปลี่ยนทิศทางของสปนได และไมสามารถปรับเปลี่ยนทิศทางของสปนได) ผลตางของ แรงดันไฟฟาต้ังแตจุดเริ่มตนและจุดเปลี่ยนของเสนสเปกตรัมของสภาพนําไฟฟาของอิเล็กตรอน และโฮล มีคาเทากับขนาดของพลังงานระบบรัชบาเชนเดียวกับการจําลองอิเล็กตรอนแบบตอเนื่อง สวนคาสปนโพลาไรเซชันของสภาพนําไฟฟาจะมีคาสูงสุดเมื่อแรงดันไฟฟาเทากับจุดตัดกันท้ังสอง จุดของแถบพลังงานท้ังสองของระบบรัชบา และพบวาอิทธิพลของรอยตอท่ีสามารถปรับเปลี่ยน
Local sensitivity analysis and spectral convergence of the stochastic Galerkin method for discrete-velocity Boltzmann equations with multi-scales and random inputs

In this paper we study the general discrete-velocity models of Boltzmann equation with uncertainties from collision kernel and random inputs. We follow the framework of Kawashima and extend it to the case of diffusive scaling in a random setting. First, we provide a uniform regularity analysis in the random space with the help of a Lyapunov-type functional, and prove a uniformly (in the Knudsen number) exponential decay towards the global equilibrium, under certain smallness assumption on the random perturbation of the collision kernel, for suitably small initial data. Then we consider the generalized polynomial chaos based stochastic Galerkin approximation (gPC-SG) of the model, and prove the spectral convergence and the exponential time decay of the gPC-SG error uniformly in the Knudsen number.
A RESEARCH REVIEW ON COMPARATIVE ANALYSIS OF DATA MINING TOOLS, TECHNIQUES AND PARAMETERS

Data mining is a process of exploring unexplored patterns from huge databases. This acts as a key to knowledge discovery which provides a great support to business world and academia. To make this knowledge discovery happening various data mining tools are developed. These tools provide interface to get data and to retrieve some interesting patterns out of it which are further useful to attain new knowledge. There are variety of parameters defined in the literature which provide base for a tool to perform analysis and different tools are available to perform these analysis. This is quite interesting to perform a comparative analysis of these tools and to observe their behavior based on some selected parameters which will further be helpful to find the most appropriate tool for the given data set and the parameters. In this paper authors did experiment with two different datasets on WEKA tool based on six parameters which illustrate disparity in the value with the type of dataset namely balanced and unbalanced.
Generalized CAZA sequences

ABSTRACT Constant amplitude zero auto-correlation (CAZA) sequences and periodic sequences have been widely used as preambles for synchronization and channel estimation in the literature. In this paper, we first construct generalized CAZA (GCAZA) sequences in the time domain. Then, their Cramer-Rao bounds containing no matrix inversion for the purpose of joint carrier frequency offset and channel impulse response estimation are derived. The properties of auto-correlation and the discrete Fourier transform of a GCAZA are then presented analytically. The latter also explains the relationship between the conventional frequency-domain CAZA and the proposed time-domain GCAZA. Finally, we conduct numerical simulations and compare the results with existing sequences in the literature for fading channels.
Cross-Lingual Pronoun Prediction with Deep Recurrent Neural Networks v2.0

In this paper we present our system in the DiscoMT 2017 Shared Task on Crosslingual Pronoun Prediction. Our entry builds on our last year’s success, our system based on deep recurrent neural networks outperformed all the other systems with a clear margin. This year we investigate whether different pre-trained word embeddings can be used to improve the neural systems, and whether the recently published Gated Convolutions outperform the Gated Recurrent Units used last year.
Antenna-coupled spintronic terahertz emitters driven by a 1550 nm femtosecond laser oscillator

We demonstrate antenna-coupled spintronic terahertz (THz) emitters excited by 1550 nm, 90 fs laser pulses. Antennas are employed to optimize THz outcoupling and frequency coverage of ferromagnetic/nonmagnetic metallic spintronic structures. We directly compare the antenna-coupled devices to those without antennas. Using a 200 μm H-dipole antenna and an ErAs:InGaAs photoconductive receiver, we obtain a 2.42-fold larger THz peak-peak signal, a bandwidth of 4.5 THz, and an increase in the peak dynamic range (DNR) from 53 dB to 65 dB. A 25 μm slotline antenna offered 5 dB larger peak DNR and a bandwidth of 5 THz. For all measurements, we use a comparatively low laser power of 45 mW from a commercial fiber-coupled system that is frequently employed in table-top THz time-domain systems.We demonstrate antenna-coupled spintronic terahertz (THz) emitters excited by 1550 nm, 90 fs laser pulses. Antennas are employed to optimize THz outcoupling and frequency coverage of ferromagnetic/nonmagnetic metallic spintronic structures. We directly compare the antenna-coupled devices to those without antennas. Using a 200 μm H-dipole antenna and an ErAs:InGaAs photoconductive receiver, we obtain a 2.42-fold larger THz peak-peak signal, a bandwidth of 4.5 THz, and an increase in the peak dynamic range (DNR) from 53 dB to 65 dB. A 25 μm slotline antenna offered 5 dB larger peak DNR and a bandwidth of 5 THz. For all measurements, we use a comparatively low laser power of 45 mW from a commercial fiber-coupled system that is frequently employed in table-top THz time-domain systems.
Immutable Object: Irresistible Force Paradox, Functional Programming, C, Object Lifetime, Clojure, Erlang (programming language), Object- oriented Programming, ... Memoization, Haskell (programming language).

In object-oriented and functional programming, an immutable object is an object whose state cannot be modified after it is created. This is in contrast to a mutable object, which can be modified after it is created. An object can be either entirely immutable or some attributes in the object may be declared immutable; for example, using the const member data attribute in the C++ programming language. In some cases, an object is considered immutable even if some internally used attributes change but the object's state appears to be unchanging from an external point of view. For example, an object that uses memoization to cache the results of expensive computations could still be considered an immutable object. The initial state of an immutable object is usually set at its inception, but can also be set before actual use of the object.
THE PROPORTION OF ENERGY CONSUMPTION STRUCTURE PREDICTION BASED ON MARKOV CHAIN

This paper applies a Markov Chain approach based on quadratic programming model to forecast the trends of energy production and consumption structures. The proposed models are used to simulate China’s energy consumption structure during 2003–2013 and forecast its trends from 2014 to 2020. The proposed models can effectively simulate and forecast the structures of energy production and consumption. Our study demonstrates that the growth rate of energy consumption in China will decrease, and the proportions of natural gas and other renewable energy will keep growing. However, the increasing rate is far from satisfactory; China may fail to achieve the 13th Five-Year Development Plan. Therefore the Chinese government should take more effort to achieve its energy plan.
Development of a telepresence robot with adaptive shared controller

ABSTRACT This study presents the design and control of a telepresence robot based on an omnidirectional mobile platform. A personal computer is used as a user interface for communication via internet to a laptop computer placed on the mobile platform. The laptop computer receives user’s commands to control the mobile robot. Collisions of robot with obstacle can still occur during remote controlling because of the limitation of a fixed camera on the robot and/or internet latency. We first use an artificial potential field to prevent these collisions, and then design an adaptive shared controller (ASC) to improve the performance. This ASC method modulates the weights of human control and assistance control online not only according to environmental factors, but also based on the user’s control performance. Meanwhile, we use the iterated closest point (ICP) algorithm to build a map for providing user functional reference. The experimental results show that ASC is efficient in both obstacle avoidance and user workload reduction.
Dynamic Fault Diagnosis in MANET with Accuracy

Fault diagnosis in Mobile Ad-hoc Networks (MANETs) is very interesting topic. Diagnosis algorithm should be efficient to find the status (either faulty or fault free) of each host in the network. Dynamic fault identification is more complex and difficult than static fault. In this paper, i proposed Dynamic Distributed Diagnosis Model to identify dynamic faults arising during the testing stage of the diagnosis time period. The model assumes that the MANET topology is static throughout the diagnosis time period. Our model works on a network with n number of hosts, which is σ-diagnosable. Where σ is one less than the minimum degree of a host in the network. It has two variation based on distribution method, first is simple flooding approach and second is based on spanning tree. The flooding based model consists of two stages; testing stage and distribution stage. The spanning tree based model has three stages: a) In testing stage, I have used the concept of heartbeat, where every mobile broadcasts a response message at fixed interval, so that a host can correctly be diagnosed by at least one fault free neighbour. b) Building stage constructs a spanning tree with fault-free mobiles. c) Distribution stage, with the help of spanning tree, distributes the local diagnostic views through the fault-free mobiles. After aggregating the entire views, initiator host distributes the global diagnostic view to the fault free mobiles down the spanning tree. In this approach, all fault free units reached to an agreement about the status of other hosts in the network. Further, i have given the proof of correctness and completeness of our model and found the time complexity, and compared the replication results with the existing fault diagnosis protocols.
Ultrahigh field enhanced nanofocusing of radially polarized light by conical hybrid plasmonic probe with two low-index layers

Abstract. A conical hybrid plasmonic probe (CHPP) for ultrahigh field enhanced nanofocusing with lower loss is demonstrated. The CHPP consists of two different low-index dielectric layers sandwiched between a high-index conical core and a silver cladding. Properties of nanofocusing are analyzed by finite element method, under illumination of a radially polarized beam at a wavelength of 632.8 nm. The numerical results prove that, by introducing the additional lower-index layer, the whole low-index dielectric region is broadened to collect more energy efficiently, and the energy is converged on the apex of the CHPP to form the ultrahigh field enhancement. Compared with the traditional hybrid plasmonic probe, the optimized CHPP exhibits lower loss and higher field enhancement of 1771 times. The thickness and refractive index of the lower-index layer are discussed for optimizing the structure. The results indicate that the CHPP has a simple structure with excellent performance, which has important potential applications in relevant fields, particularly in nanotechnology of field enhancement. This work also provides a convenient way for designing and optimizing hybrid plasmonic structure.
A multihertz, kiloelectronvolt pulsed proton source from a laser irradiated continuous hydrogen cluster target

A high-repetition rate laser-driven proton source from a continuously operating cryogenic hydrogen cluster target is presented. We demonstrate a debris-free, Coulomb-explosion based acceleration in the 10s of kilo-electron-volt range with a stability of about 10% in a 5 Hz operation. This acceleration mechanism, delivering short pulse proton bursts, represents an ideal acceleration scheme for various applications, for example, in materials science or as an injector source in conventional accelerators. Furthermore, the proton energy can be tuned by varying the laser and/or cluster parameters. 3D numerical particle-in-cell simulations and an analytical model support the experimental results and reveal great potential for further studies, scaling up the proton energies, which can be realized with a simple modification of the target.A high-repetition rate laser-driven proton source from a continuously operating cryogenic hydrogen cluster target is presented. We demonstrate a debris-free, Coulomb-explosion based acceleration in the 10s of kilo-electron-volt range with a stability of about 10% in a 5 Hz operation. This acceleration mechanism, delivering short pulse proton bursts, represents an ideal acceleration scheme for various applications, for example, in materials science or as an injector source in conventional accelerators. Furthermore, the proton energy can be tuned by varying the laser and/or cluster parameters. 3D numerical particle-in-cell simulations and an analytical model support the experimental results and reveal great potential for further studies, scaling up the proton energies, which can be realized with a simple modification of the target.
A Wideband Differentially Driven Dual-Polarized Antenna by Using Integrated Six-Port Power Divider

A new method to design wideband differentially driven dual-polarized antenna with high common-mode suppression and high port isolation is presented. The presented antenna can be equivalent as a combination of a six-port power divider and four crossed folded dipoles. The six-port power divider is composed of two orthogonal input ports and four equal magnitude output ports. Detailed analysis illustrates that the six-port power divider can have wide bandwidth and high isolation under odd-mode excitation and high common-mode suppression under even-mode excitation. Therefore, based on the wideband and high even-mode suppressed six-port power divider, a wideband differentially driven dual-polarized antenna is developed with high common-mode suppression. To validate the design concept, the proposed antenna was designed, fabricated, and measured. The measured results prove that the antenna has a wide impedance bandwidth of 1.64–3.0 GHz (58.6%) for the return loss higher than 15 dB and isolation higher than 35.4 dB. In addition, very high common-mode suppression is achieved for the measured common-mode reflection coefficient higher than −0.87 dB over the entire bandwidth. With stable antenna gain and half-power beamwidth, the developed antenna is suitable for base station applications.
BOGDANOV-TAKENS BIFURCATION IN A DELAYED MICHAELIS-MENTEN TYPE RATIO-DEPENDENT PREDATOR-PREY SYSTEM WITH PREY HARVESTING

In this paper, we study a delayed Michaelis-Menten Type ratiodependent predator-prey model with prey harvesting. By considering the characteristic equation associated with the nonhyperbolic equilibrium, the critical value of the parameters for the Bogdanov-Takens bifurcation is obtained. The conditions for the characteristic equation having negative real parts are discussed. Using the normal form theory of Bogdanov-Takens bifurcation for retarded functional differential equations, the corresponding normal form restricted to the associated two-dimensional center manifold is calculated and the versal unfolding is considered. The parameter conditions for saddle-node bifurcation, Hopf bifurcation and homoclinic bifurcation are obtained. Numerical simulations are given to support the analytical results.
Neural Network Identification and Sliding Mode Control for Hysteresis Nonlinear System with Backlash-Like Model

A new neural network sliding mode control (NNSMC) is proposed for backlash-like hysteresis nonlinear system in this paper. Firstly, only one neural network is designed to estimate the unknown system states and hysteresis section instead of multiscale neural network at former researches since that can save computation and simplify the controller design. Secondly, a new NNSMC is proposed for the hysteresis nonlinearity where it does not need tracking error transformation. Finally, the Lyapunov functions are adopted to guarantee the stabilities of the identification and control strategies semiglobally uniformly ultimately bounded (UUB). Two cases simulations are proved the effectiveness of the presented identification approach and the performance of the NNSMC.
Determination of the Status of Helicobacter pylori sabA Gene in Relation to Clinical Findings

Article type: Original Article Background: Many Helicobacter pylori strains express adhesin proteins that bind to specific host-cell macromolecule receptors, like sialic acid binding adhesion (sabA). SabA-expressing strains have been associated with gastric cancer and negatively associated with duodenal ulcers. The aim of this study was to determine the status of sabA gene of H. pylori and its association with the clinical diseases in Iranian dyspeptic pateints. Methods: Eighty six biopsy block samples that were positive for H. pylori according Geimsa staining were included in this study. Genomic DNA was extracted from paraffin-embedded gastric biopsies obtained from dyspeptic patients. The identity of Helicobacter genus was determined through amplification of 16S rRNA which followed by sabA PCR using the gene-specific primers. The prevalence of sabA gene in three clinical groups including gastritis, gastric ulcer, and gastric atrophy was determined. The association of sabA gene and clinical outcomes was assessed statistically using Chi-square test. A p-value less than <0.05 was considered statistically significant. Results: Total of 86 patients was included in this study. Seventeen cases out of 86 (23.6%) were yielded a positive result for sabA gene. The prevalence of sabA gene was 28.6% in both dyspeptic and Gastric atrophy patients as compared with peptic ulcers (19.2%). Conclusion: For a first time the frequency of sabA gene using PCR methods was reported. The current study demonstrated that the sabA gene status was not associated with clinical diseases. In limited number of studied samples, higher frequency of sabA gene among dyspeptic and atrophic patients was found.
Analysing a quality‐of‐life survey by using a coclustering model for ordinal data and some dynamic implications

The data set that motivated this work is a psychological survey on women affected by a breast tumour. Patients replied at different stages of their treatment to questionnaires with answers on an ordinal scale. The questions relate to aspects of their life referred to as ‘dimensions’. To assist psychologists in analysing the results, it is useful to highlight the structure of the data set. The clustering method achieves this by creating groups of individuals that are depicted by a representative of the group. From a psychological position, it is also useful to observe how questions may be clustered. The simultaneous clustering of both patients and questions is called ‘coclustering’. However, placing questions in the same group when they are not related to the same dimension does not make sense from a psychological perspective. Therefore, constrained coclustering was performed to prevent questions of different dimensions from being placed in the same column cluster. The evolution of coclusters over time was then investigated. The method uses a constrained latent block model embedding a probability distribution for ordinal data. Parameter estimation relies on a stochastic expectation–maximization algorithm associated with a Gibbs sampler, and the integrated completed likelihood–Bayesian information criterion is used to select the number of coclusters.
Nucleosynthetic Sr–Nd Isotope Correlations in Chondrites: Evidence for Nebular Thermal Processing and Dust Transportation in the Early Solar System

We conducted high-precision Sr and Nd isotopic measurements in bulk chondrites using a complete sample digestion technique. Our new data indicate that enstatite and ordinary chondrites possess uniform and small, but resolvable, Sr and Nd isotopic deviations from terrestrial rocks. In contrast, the Sr isotope ratios varied across different classes of carbonaceous chondrites (CM, CO, and CV). The deviation of data from the s-process mixing line in Sr–Nd isotopic space likely resulted from the incorporation of calcium-aluminum-rich inclusions (CAIs) into carbonaceous chondrite parent bodies. Planetary-scale Sr and Nd isotopic heterogeneities among terrestrial rocks, enstatite, ordinary chondrites, and CAI-subtracted carbonaceous chondrites suggest a heterogeneous distribution of s-process-enriched materials in the early solar system, probably caused by nebular thermal processing. The observed Sr and Nd isotopic variation across the CAI-subtracted carbonaceous chondrites cannot be explained solely by nebular thermal processing, but is likely attributable to s-process-depleted silicate grains that repeatedly circulated among the early solar system. These grains were transferred and incorporated at varying degrees into the formation region of the parent bodies of individual carbonaceous chondrites.