Miracle-dz/UniFAR-FTUs huggingface dataset:
A sensorless PMSM drive using a two stage extended Kalman estimator

This paper presents an efficient implementation of the extended Kalman estimator used for the estimation of position and rotor velocity of a permanent magnet synchronous motor. An algorithm proposed by C.S. Hsieh and F.C. Chen in 1999 for linear parameter estimation is extended to the non-linear estimation, where parameters such as position and velocity are present in the transition matrix and in the augmented state space. Compared to a straightforward implementation of the extended Kalman estimator in a standard implementation, our modified optimal two-stage Kalman estimator reduces the number of arithmetic operations, allowing higher sampling rate, the estimation of parameters or the use of a cheaper microcontroller.
Sound Velocity Profiles Time Series Prediction Method Based on EMD-NARX Model

To solve the problem of SVP (Sound velocity profiles) representative error caused by the difficulty of obtaining continuous time series SVP in deep-sea operations, an SVP timing prediction method combining EMD (Empirical mode decomposition) and NARX (Nonlinear autoregressive neural network with external input) is proposed. To begin with, the time-series SVP are stratified according to different depths, and the time-series variation curves of sound velocity at different depths are obtained; Furthermore, the EMD is used to decompose the time series variation curve of sound velocity into multiple IMF (Intrinsic mode function) components, each component contains local characteristic signals of different time scales of the original signal. The NARX is used to establish a prediction model for each IMF components, and the prediction values of the sound velocity at different depths are obtained. The EMD-NARX, NARX and polynomial fitting model are analyzed and verified by Argo buoys data in the South China Sea, and the results of the experiment show that EMD-NARX improves the time series prediction accuracy of sound velocity by 32.24% and 65.15% compared with NARX and polynomial fitting, respectively, so EMD-NARX has a good prediction effect on the time series SVP of the deep sea.
Genome mapping of tetraploid cotton : towards a saturated and unified map

DNA-based genetic maps have been produced in nearly all major crop species, thus facilitating the analysis of genome structure and evolution, and improving efficiency and accuracy of breeding. We have developed at Cirad/France a combined and saturated RFLP-AFLP-SSR genetic map of tetraplaid cotton from the analysis of the 1st and 2nd backcross generations of an interspecific Gossypium hirsutum (cv 'Guazuncho 2') x G. barbadense (cv 'VH8') cross. The BC1 and BC2 maps were independently constructed from the analysis of 75 arid 200 individual plants respectively. As a recent development, a microsatelliteenriched library had been developed and 418 new microsatellite primers defined. One hundred and sixty one microsatellites showing at least one polymorphism between Guazuncho 2 and VH8 had been screened on the BC1 population, and 785 new loci were added on the BC 7 map. Having 360 loci in common between the BC1 (1107 loci in total) and tile BC2 (513 loci in total) map proved helpful to confirm loci orders along linkage groups, and allowed small linkage groups to be joined to larger ones. A total of 138 additional loci, mainly AFLP, of the BC2 map were added to the skeleton BC? map. Finally, after merging the BC1 and BC2 mapping data, the Guazuncho 2 x VH8 map now comprises 1260 loci divided mainly between AFLPs (40%), SSRs (34%) and RFLPs (15%). The 26 linkage groups span altogether over 5400 cM. Details of the Guazuncho 2 x VH8 map are commented. An important number of microsatellite and RFLP markers used in the present study are common with other published genetic maps also derived from interspecific G, hirsutum x G. barbadense populations. As a preliminary step towards an integration of the different maps, we used a "neighbor approach" applied to 4 of tth 26 chromosomes by aligning these maps using these bridge loci. An overall agreement in locus order and distances has been observed. Integration of genetic maps into a denser consensus unified map of tetraploid cotton and future feasibility of genetic arid physical maps integration are discussed. (Resume d'auteur)
Direct Band-gap 1.64μm Electroluminescence from Edge Emitting Germanium Diode for Near-infrared Application

Germanium has been considered as a promising material for near-infrared optical devices due to its higher carrier mobility and adjustable band structure. In this study, the low temperature combined with high temperature (LT-HT) two-step method is utilized to fabricate the edge emitting germanium diode who can be an application for near infrared. The tensile strain of the germanium layer is determined by XRD and Raman, which are about 0.3%. The TEM results show a high material quality near the surface of the Ge layer with few defects at the Si/Ge interface. Then, the chip is packaged to facilitate testing and protect the device. The I-V characteristics indicate a reserve saturation current of about 10−3A/cm2 at -0.1V in the dark. The EL measurement with a stable EL peak at 1640nm was observed.
Reproductive biology of male franciscanas (Pontoporia blainvillei) (Mammalia: Cetacea) from Rio Grande do Sul, southern Brazil*

The reproductive biology of male franciscanas (Pontoporia blainvillei), based on 121 individu- als collected in Rio Grande do Sul State, southern Brazil, was studied. Estimates on age, length, and weight at attainment of sexual maturity are presented. Data on the reproductive seasonality and on the relationship between some testicular characteris- tics and age, size, and maturity status are provided. Sexual maturity was assessed by histological examina- tion of the testes. Seasonality was determined by changes in relative and total testis weight, and in seminifer- ous tubule diameters. Testis weight, testicular index of maturity, and seminiferous tubule diameters were reliable indicators of sexual maturity, whereas testis length, age, length, and weight of the dolphin were not. Sexual maturity was estimated to be attained at 3.6 years (CI 95% =2.7- 4.5) with the DeMaster method and 3.0 years with the logistic equation. Length and weight at attainment of sexual maturity were 128.2 cm (CI 95%=125.3-131.1 cm) and 26.4 kg (CI 95% =24.7-28.1 kg), respectively. It could not be verified that there was any seasonal change in the testis weight and in the seminiferous tubule diameters in mature males. It is sug- gested that at least some mature males may remain reproductively active throughout the year. The extremely low relative testis weight indicates that sperm competition does not occur
Graphical discovery in stochastic actor-oriented models for social network analysis

This work presented in this thesis combines statistical models for social networks and network visualization in new and exciting ways. In Chapter 1, a thorough review of the literature in the topics of statistical network models and network visualization is presented. In Chapter 2, we focus in on one type of model for dynamic social networks: the stochastic actor-oriented models (SAOMs), introduced by Snijders (1996). Unlike other network models, SAOMs are not very well understood, so we use model visualization techniques inspired by those introduced in Wickham et al (2015) in order to make the models a little less murky. The SAOMs are a prime example of a set of models that can benefit greatly from application of model visualization, and with the help of static and dynamic visualizations, we bring the hidden model fitting processes into the foreground, eventually leading to a better understanding and higher accessibility of stochastic actor-oriented models for social network analysts. In Chapter 3, we further explore the SAOMs using the visual inference methodology of Buja et al. (2009). We construct significance tests of model parameters, goodnessof-fit tests, and power calculations for the objective function parameters in SAOMs using visual inference. In this way, we can explore complex network data more completely than traditional significance and goodness-of-fit methods that rely on one-dimensional derived features of networks do. In Chapter 4, we present an R package for drawing networks using the popular grammar of graphics R plotting paradigm, ggplot2 (Wickham 2016). We close with a discussion of the limitations of the work and directions for the future in Chapter 5.
Different inhibitory effects by dopaminergic modulation and global suppression of activity

In the dopaminergic network system of prefrontal cortex (PFC)-ventral tegmental area (VTA), physiological experiments have been reported that the D/sub 2/ neurons inhibit the spontaneous activity of PFC neurons. However, the functional role of D/sub 2/ suppression is not understood well. Is the effect of modulatory D/sub 2/ inhibition different from that of GABAergic inhibition? The aim of this research is to reveal the difference between modulatory suppression of D/sub 2/ and global inhibition by interneurons. To compare the effects, we construct two alternative models: (1) all GABAergic interneurons of PFC are modulated by a D/sub 2/ system, or (2) a global interneuron depolarizes; all of PFC pyramidal cells. In computer simulations, we exemplify each of the models using a spiking neural network model with sparse and random synaptic connections. The simulation result shows that model-(1) keeps high correlation between spatial patterns of mean firing rates and the network structure despite the suppression of activity, while model-(2) reduces the correlation. This result suggests that modulatory suppression of D/sub 2/ is more than a global suppression and may play a role in memory retrieval function.
The VOS Data Manager: Providing Immediate Feedback on Teaching Effectiveness

New classroom assessment technologies produce large amounts of data. However, providing useful information to instructors, who may not be familiar with coding or analytic methods, remains challenging. For the past several years, the VaNTH (Vanderbilt Northwestern Texas Harvard-MIT) Engineering Research Center for Bioengineering Educational Technologies has employed the VaNTH Observational System (VOS). VOS allows minute-by-minute capture of both student and instructor activities during a classroom session via handheld personal data assistants (PDAs) and has been previously described. However, generating useful information for instructors based on this data is time-consuming, and instructors often wait days or weeks for the appropriate reports to be generated on a case-by-case basis. Furthermore, multiple files resulting from these methods have been difficult to organize and maintain. The VOS Data Manager has been developed to automate the process of importing, organizing, and analyzing VOS data. The import process checks the underlying data for validity, automatically correcting simple artifacts and identifying more complex ones for manual correction. The entire import process, including artifact correction, takes about five minutes for a one-hour classroom session. Once data has been imported, a variety of reports can be generated within seconds that detail instructional methods, student engagement (or lack thereof), and other classroom activities over a particular session. Additional reports show how one session compares to another, or to an average of other sessions given by the same or different teachers. Instructors can now receive feedback within minutes after a class ends, and researchers can more easily compare data across different sessions, instructors, and/or coders. The VOS Data Manager runs on any computer equipped with Excel (Microsoft Corp., Redmond, WA). Excel was chosen because of its wide install base, familiarity to most instructors and educational researchers, and the fact that it’s built-in macro language, Visual Basic for Applications, provides a high degree of functionality and compatibility across recent versions of the Windows (Microsoft) and MacOS
Automated eddy current data analysis

Pressurised heavy water reactors (PHWRs) have two components which can present risks during the operation time. These are the tubes bundle of steam generator, made now from Incoloy 800, and pressure tubes made from Zr 2.5% Nb in which the nuclear fuel bundles are inserted and through which heavy water circulates as coolant agent. During the outage, both the components are non-destructive tested using eddy current method with differential transducers and, for confirmation of flaws, rotating pancake probe. This paper presents the possibility of using a new eddy current transducer – the transducer with rotating magnetic field as well as the algorithms for processing and automated evaluation of data.
High-resolution multispectral satellite imagery for extracting bathymetric information of Antarctic shallow lakes

High-resolution pansharpened images from WorldView-2 were used for bathymetric mapping around Larsemann Hills and Schirmacher oasis, east Antarctica. We digitized the lake features in which all the lakes from both the study areas were manually extracted. In order to extract the bathymetry values from multispectral imagery we used two different models: (a) Stumpf model and (b) Lyzenga model. Multiband image combinations were used to improve the results of bathymetric information extraction. The derived depths were validated against the in-situ measurements and root mean square error (RMSE) was computed. We also quantified the error between in-situ and satellite-estimated lake depth values. Our results indicated a high correlation (R = 0.60~0.80) between estimated depth and in-situ depth measurements, with RMSE ranging from 0.10 to 1.30 m. This study suggests that the coastal blue band in the WV-2 imagery could retrieve accurate bathymetry information compared to other bands. To test the effect of size and dimension of lake on bathymetry retrieval, we distributed all the lakes on the basis of size and depth (reference data), as some of the lakes were open, some were semi frozen and others were completely frozen. Several tests were performed on open lakes on the basis of size and depth. Based on depth, very shallow lakes provided better correlation (≈ 0.89) compared to shallow (≈ 0.67) and deep lakes (≈ 0.48). Based on size, large lakes yielded better correlation in comparison to medium and small lakes.
Method of Incomplete Leaf Recognition Based on Artificial Neural Network

Plant classification is the basic work for plant research, and it is of great significance to explore the relationship among plants. It is the most direct, effective and simple method to classify and recognize plants by features of plant leaves. In this paper, the original photos of mulberry leaves, pear tree leaves, plum tree leaves, silver poplar tree leaves, spiraea leaves, willow leaves are collected, and an operation interface of the incomplete leaf recognition system was designed to process the original image of incomplete leaves. After various characteristic parameters of incomplete leaves are obtained, the species of incomplete leaves are recognized by artificial neural network. Experimental results show that this method can effectively identify incomplete leaves.
ℋ2-optimal decentralized control over posets: A state space solution for state-feedback

We develop a complete state-space solution to ℋ2-optimal decentralized control of poset-causal systems with state-feedback. Our solution is based on the exploitation of a key separability property of the problem, that enables an efficient computation of the optimal controller by solving a small number of uncoupled standard Riccati equations. Our approach gives important insight into the structure of optimal controllers, such as degree bounds that depend on the structure of the poset. A novel element in our state-space characterization of the controller is a remarkable pair of transfer functions, that belong to the incidence algebra of the poset, are inverses of each other, and are intimately related to estimation of the state along the different paths on the poset.
Eastward Ho: Phylogeographical Perspectives on Colonization of Hosts and Parasites across the Beringian Nexus [Guest editorial]

This Article is brought to you for free and open access by the Parasitology, Harold W. Manter Laboratory of at DigitalCommons@University of Nebraska Lincoln. It has been accepted for inclusion in Faculty Publications from the Harold W. Manter Laboratory of Parasitology by an authorized administrator of DigitalCommons@University of Nebraska Lincoln. Waltari, Eric; Hoberg, Eric P.; Lessa, Enrique P.; and Cook, Joseph A. , "Eastward Ho: Phylogeographical Perspectives on Colonization of Hosts and Parasites across the Beringian Nexus [Guest editorial]" (2007). Faculty Publications from the Harold W. Manter Laboratory of Parasitology. 818. http://digitalcommons.unl. edu/parasitologyfacpubs/818 brought to you by CORE View metadata, citation and similar papers at core.ac. uk
Distributed adaptive estimation based on the APA algorithm over diffusion networks with changing topology

In this paper, we present a novel distributed affine projection algorithm (APA) to solve distributed estimation problem within dynamic diffusion networks. In addition, mean-square stability of the proposed algorithm is also studied through exploitation of the energy conservation approach due to Sayed. Simulations confirm that the novel algorithm achieves a greatly improved performance as compared with a noncooperative scheme.
Sequential Aggregate Signatures, Multisignatures, and Verifiably Encrypted Signatures without Random Oracles

We present the first aggregate signature, the first multisignature, and the first verifiably encrypted signature provably secure without random oracles. Our constructions derive from a novel application of a recent signature scheme due to Waters. Signatures in our aggregate signature scheme are sequentially constructed, but knowledge of the order in which messages were signed is not necessary for verification. The aggregate signatures obtained are shorter than Lysyanskaya et al. sequential aggregates and can be verified more efficiently than Boneh et al. aggregates. We also consider applications to secure routing and proxy signatures.
Diatomaceous sediments from the Miocene Monterey Formation, California; a lamina-scale investigation of biological, ecological, and sedimentary processes

Finely laminated diatomaceous sediments from the Miocene Monterey Formation, Lompoc, Santa Barbara County, California, record the mutualistic coupling of life processes and environmental evolution at subannual and subseasonal resolution. In this study we present a new classification of lamina and couplet styles based on couplet bimodality, lamina thickness, compositional domination, lamina spacing, and cyclicity. We also describe five distinct lamina types with emphasis on paleoenvironmental settings, paleoecological associations, and biologically mediated sedimentary/taphonomic processes. Detrital laminae, consisting of silt, clay, and robust diatoms, were deposited from continental runoff during rainy seasons. Thin biosiliceous laminae consist of either moderately preserved high-diversity diatom assemblages, or well-preserved monogeneric phytoplankton assemblages. Most thick, continuous diatomaceous laminae are composed of well-preserved monogeneric and monospecific diatom assemblages that likely experienced biologically induced aggregation and rapid sedimentation without grazing. Thick, discontinuous diatomaceous laminae consist of either Thalassiothrix longissima mats or Chaetoceros setae. Mat laminae reflect stratified water conditions and high biomass conditions developed via vertically migrating diatom mats. Setae laminae are problematic to interpret. Macerated biosilica laminae, consisting of closely packed and highly fragmented biosilica from a variety of taxa, reflect intense zooplankton maceration and dissolution of diverse phytoplankton assemblages. Our results illustrate how different lamina types and associations can be used to proxy specific ecological and oceanographic conditions. This study provides a foundation for developing a high-resolution time series of paleoenvironmental variability recorded by biological event strata in hemipelagic sediments.
Spectral Quadrangulation with Feature Curve Alignment and Element Size Control

Existing methods for surface quadrangulation cannot ensure accurate alignment with feature or boundary curves and tight control of local element size, which are important requirements in many numerical applications (e.g., FEA). Some methods rely on a prescribed direction field to guide quadrangulation for feature alignment, but such a direction field may conflict with a desired density field, thus making it difficult to control the element size. We propose a new spectral method that achieves both accurate feature curve alignment and tight control of local element size according to a given density field. Specifically, the following three technical contributions are made. First, to make the quadrangulation align accurately with feature curves or surface boundary curves, we introduce novel boundary conditions for wave-like functions that satisfy the Helmholtz equation approximately in the least squares sense. Such functions, called quasi-eigenfunctions, are computed efficiently as the solutions to a variational problem. Second, the mesh element size is effectively controlled by locally modulating the Laplace operator in the Helmholtz equation according to a given density field. Third, to improve robustness, we propose a novel scheme to minimize the vibration difference of the quasi-eigenfunction in two orthogonal directions. It is demonstrated by extensive experiments that our method outperforms previous methods in generating feature-aligned quadrilateral meshes with tight control of local elememt size. We further present some preliminary results to show that our method can be extended to generating hex-dominant volume meshes.
Algorithm for Enhancing the Resolution of Workshop Part Images

The resolution of the input image will affect the restoration effect of the image. In a fixed environment, obtaining high-quality images requires expensive acquisition devices, such as cameras. There are many ways to improve image quality. Instead of increasing hardware investment, it is better to find methods in image post-processing. Deep learning algorithms have obvious advantages in image processing. Based on deep learning, we propose an algorithm to convert camera captured images into high-resolution images. VDSR (Very Accurate Super Resolution) is a typical algorithm. Use residual image learning to predict accurate residual images from input images. Residual corresponds to the high-frequency information in an image, representing pixels that undergo drastic changes in the image, and can highlight the edges and contours of the target. Our proposed algorithm is more accurate than existing algorithms and improves visual effects.
The issues of design of a Petri net-based software component for modelling holistic and coordinated curriculum for potential specialists’ training

This paper proposes a Petri nets-based software component for automating the holistic and coordinated curriculum building process for pre-service IT specialists. The design of the software module is based on the holistic educational paradigm and the authors’ approach to Petri nets-based curriculum modeling. The core components of the software module are identified and their requirements are formulated. The groups of software classes are specified and described. The benefits of the software module for pre-service IT specialists are highlighted. The prospects for further research include implementing the software module and testing it on specially prepared cases.