Miracle-dz/UniFAR-FTUs huggingface dataset:
Hybrid sensorless control of axial flux permanent magnet motor drives, including zero speed

Sensorless control of an axial flux permanent magnet motor drive is proposed and tested. The motor is not purposely designed for sensorless control and shows a very small inherent saliency. This significantly affects the saliency-based position estimation in the low speed region. Other non-idealities, such as the non-sinusoidal back-EMF waveforms and possible misalignment between stator and rotor make the control more challenging. A robust sensorless control scheme is proposed, able to deal with these non-idealities with a rather simple implementation. The position estimation is based on a closed loop hybrid observer of the permanent magnet flux linkage. Experimental results report torque and speed sensorless control.
The Analysis of Radio Noise Data

Scope Impulsive noise is an important aspect of man-made noise in particular. This Report describes a method of analysing noise measurements so as to characterize both the impulsive and the Gaussian parts of the noise distribution. 1 Sources of radio noise Radio noise external to the radio receiving system derives from the following causes: – radiation from lightning discharges (atmospheric noise due to lightning); – aggregated unintended radiation from electrical machinery, electrical and electronic equipments, power transmission lines, or from internal combustion engine ignition (man-made noise); – emissions from atmospheric gases and hydrometeors; – the ground or other obstructions within the antenna beam; – radiation from celestial radio sources. NOTE 1 – Radio noise comprises the background noise level in the absence of other signals, whether intentionally or unintentionally radiated, so that noise or signals due to unwanted co-channel transmissions or due to spurious emissions from individual transmitting or receiving systems are not considered. In addition, noise due to local or identifiable specific sources is not included. Of these sources atmospheric noise due to lightning and man-made noise may include impulsive contributions, whereas the other sources are likely to have entirely Gaussian characteristics. 2 Terms for the specification of noise intensity and their interrelationship External radio noise comprises two main components: White Gaussian noise (WGN) and impulsive noise (IN). Impulsive disturbances to a receiver system may be considered in two classes: Impulsive noise – Where the disturbance is broadband compared to the IF filter bandwidth of the receiver being considered. Impulsive noise is typically made up of an aggregate of very short impulses that are very wideband and are frequently man-made in origin. The class includes impulses from automotive ignition circuits, thermostats, lighting, etc. Other impulsive disturbances – Where the disturbance has a bandwidth which is spectrally comparable to, or less than, the IF filter bandwidth of the receiver being considered. Such a disturbance is likely to be structured, possibly generated by telecommunication systems, and is probably not of interest to the receiver being considered. Such disturbances are not taken into account as a component of radio noise.
Computational Statistics and Data Analysis Pattern Recognition via Projection-based Knn Rules

A new procedure for pattern recognition is introduced based on the concepts of random projections and nearest neighbors. It can be considered as an improvement of the classical nearest neighbor classification rules. Besides the concept of neighbors, the notion of district, a larger set into which the data will be projected, is introduced. Then a one-dimensional kNN method is applied to the projected data on randomly selected directions. This method, which is more accurate to handle high-dimensional data, has some robustness properties. The procedure is also universally consistent. Moreover, the method is challenged with the Isolet data set where a very high classification score is obtained. The goal in pattern recognition problems (classification rules) is to classify individuals into groups. Information about these groups is provided by a training sample {(X i , Y i) : 1 ≤ i ≤ n}, where each datum X i has attached a label Y i indicating which group it belongs to. One can consider k-nearest neighbor (kNN) rules, introduced by Fix and Hodges (1951), as the simplest non-parametric and widely applied rules. In them, given a new observation x, each of its k-nearest neighbors in the training sample votes in favor of the group to which it belongs to. The new observation is classified into the group that obtains more votes. In spite of their simplicity, kNN rules are universally consistent and perform remarkably well on many real data examples. Recently, for the purpose of classifying tumors using data gene expressions, Dudoit et al. (2002) compared performances of different discrimination methods. Their main conclusion is that, in those cases, simple classifiers such as kNN performed substantially better than more sophisticated methods. However for high-dimensional data sets, kNN methods can be affected by noise variables that do not carry useful information for classification purposes. Fraiman et al. (2008) propose variable selection methods and Chan and Hall (2009) suggest a robust nearest neighbor approach to classifying high-dimensional data. Gertheiss and Tutz (2009) and Chakraborty (2009) develop nearest neighbor methods with implicit variable selection. Wang et al. (2007) propose a non-parametric clustering method based on local shrinking and Weinberger and Saul (2009) consider a Mahalanobis distance metric for kNN classification. In this paper, we propose a new classification family of rules based on the concepts of random projections and nearest neighbors: random projection-based kNN rules (RPkNN). They can be regarded as an improvement of the classical …
Variability mapping at runtime using the PAnDA multi-reconfigurable architecture

This paper describes a novel multi-reconfigurable architecture, which allows variability-aware design, rapid prototyping and post-fabrication optimisation of digital systems. This is achieved by exploiting reconfiguration at both the digital function level and the transistor level. A runtime variability map of the architecture, created using ring oscillators, is presented.
Recognition based Verification for the Machine Readable Travel Documents

This paper proposes on character region extraction method and picture separation in passport by preprocessing phase for passport recognition system. Character regions that need in recognition make black pixel and remainder of the passport regions makes white pixel in the detected character spaces. This method uses MRZ sub-region in order to automatically decide threshold value of binary image and this value is applied to the other character regions. And this method executes horizontal/vertical histogram projection in order to remove picture region in binary image. After region detection of picture area, the image part of passport is stored for the database of face images. The remainder of the passport is composed of character part. Recognition on the extracted character is done on the various different passports. From the obtained information, self-correlation algorithm using extracted characters are accomplished after character recognition. A cross-check process of MRZ information and field information of passport on similarity is implemented.
Quality assessment and control of tissue specific RNA-seq libraries of Drosophila transgenic RNAi models

RNA-sequencing (RNA-seq) is rapidly emerging as the technology of choice for whole-transcriptome studies. However, RNA-seq is not a bias free technique. It requires large amounts of RNA and library preparation can introduce multiple artifacts, compounded by problems from later stages in the process. Nevertheless, RNA-seq is increasingly used in multiple studies, including the characterization of tissue-specific transcriptomes from invertebrate models of human disease. The generation of samples in this context is complex, involving the establishment of mutant strains and the delicate contamination prone process of dissecting the target tissue. Moreover, in order to achieve the required amount of RNA, multiple samples need to be pooled. Such datasets pose extra challenges due to the large variability that may occur between similar pools, mostly due to the presence of cells from surrounding tissues. Therefore, in addition to standard quality control of RNA-seq data, analytical procedures for control of “biological quality” are critical for successful comparison of gene expression profiles. In this study, the transcriptome of the central nervous system (CNS) of a Drosophila transgenic strain with neuronal-specific RNAi of an ubiquitous gene was profiled using RNA-seq. After observing the existence of an unusual variance in our dataset, we showed that the expression profile of a small panel of marker genes, including GAL4 under control of a tissue specific driver, can identify libraries with low levels of contamination from neighboring tissues, enabling the selection of a robust dataset for differential expression analysis. We further analyzed the potential of profiling a complex tissue to identify cell-type specific changes in response to target gene down-regulation. Finally, we showed that trimming 5′ ends of reads decreases nucleotide frequency biases, increasing the coverage of protein coding genes with a potential positive impact in the incurrence of systematic technical errors.
Photooxidation of triglycerides and fatty acids in seawater: Implication toward the formation of marine humic substances

Unsaturated fatty acids rapidly photodecomposed in filtered seawater to aliphatic aldehydes and an ω‐oxocarboxylic acid (CHO‐(CH2)n‐COOH) upon a 5‐h exposure to ambient sunlight. The photoreactivity of fatty acids increased as their degree of unsaturation increased. Palmitic acid displayed no photodegradation while monounsaturated oleic acid photodecomposed to nonanal and 9‐oxononanoic, respectively. Photooxidation of the polyunsaturated linoleic acid produced significantly higher concentrations, primarily hexanal, and a wider variety of aldehydes. The rate of photodegradation was more than 10 times greater for the polyunsaturated fatty acids than for the monounsaturated fatty acids. Photolysis of the triglyceride, trilinolein, gave an aldehyde profile similar to its component fatty acid, indicating each undergoes a similar mechanism of photodegradation. Twenty percent of the initial triglyceride was photodegraded during the 6‐h irradiation. The rapid photoreactivity of unsaturated fatty acids may explain their low in situ levels relative to saturated fatty acids, the latter of which are found in the dissolved phase at relatively higher levels.
Human activity recognition based on the combined SVM&HMM

Being able to recognize human activities is essential for several applications, including personal assistive robotics and smart homes. In this paper, we perform the recognition of the human activity based on the combined SVM&HMM in daily living environments. Firstly, we use a RGBD sensor (Microsoft Kinect) as the input sensor, and extract a set of the fusion features, including motion, body structure features and joint polar coordinates features. Secondly, we propose the combined SVM&HMM that combines the SVM characteristics that can reflect the difference between the samples with the HMM characteristics that is suited to deal with the continuous activities. The SVM&HMM plays their respective advantages of SVM and HMM comprehensively. Thus, the combined model overcomes the drawbacks of accuracy, robustness and computational efficiency comparing with the separate the SVM model or the traditional HMM model in the human activity recognition. We test our algorithm on recognizing twelve different activities performed by four people in different environments, such as a kitchen, a living room, an office, etc., and achieves good performance even when the person was not seen before in the training set. The experiment results show that our algorithm possess the better robustness and distinction.
Two conjectures on convex curves

Department of Mathematics, University of Oil and Gas (Gubkin) Moscow 117036, Russia sedykh@ium.ips. ras.ru Department of Mathematics, University of Stockholm S-10691, Sweden, shapiro@matematik.su. se Abstra t. In this paper we recall two basic conjectures on the developables of convex projective curves, prove one of them and disprove the other in the first nontrivial case of curves in RP3. Namely, we show i) that the tangent developable of any convex curve in RP 3 has degree 4 and ii) construct an example of 4 tangent lines to a convex curve in RP 3 such that no real line intersects all four of them. The question (discussed in [EG1] and [So4]) whether the second conjecture is true in the special case of rational normal curves still remains open.
Elastographic image reconstruction: A stochastic state space approach

Model-based reconstruction algorithms have shown potentials over conventional strain-based methods in static elas-tographic image by using ”accurate” finite element(FE) or bio-mechanical models. Strictly speaking, however, the measurement noise are always exists and thus do not meet basic assumptions of these algorithms. In addition, the difficulty in determining the proper system response model also greatly affects the quality of the reconstructed images. In this paper, we explore the usage of state space principles for the estimation of materials properties in elastographic imaging. The model-data discrepancy is modeled as uncertainties, i.e. Gaussian white noise, and the measurement noise is treated as another independent Gaussian white noise in the stochastic state space space, and an optimal estimation is computed of full displacement field and Young's modulus simultaneously using an extended Kalman filter (EKF). The performance of the proposed framework is evaluated using phantom data and real data with favorable results.
Obstructive Sleep Apnea, Oxidative Stress and Cardiovascular Disease: Lessons from Animal Studies

Obstructive sleep apnea (OSA) is an independent risk factor for cardiovascular (CV) diseases such as arterial hypertension, heart failure, and stroke. Based on human research, sympathetic activation, inflammation, and oxidative stress are thought to play major roles in the pathophysiology of OSA-related CV diseases. Animal models of OSA have shown that endothelial dysfunction, vascular remodelling, and systemic and pulmonary arterial hypertension as well as heart failure can develop in response to chronic intermittent hypoxia (CIH). The available animal data are clearly in favour of oxidative stress playing a key role in the development of all of these CV manifestations of OSA. Presumably, the oxidative stress is due to an activation of NADPH oxidase and other free oxygen radicals producing enzymes within the CV system as evidenced by data from knockout mice and pharmacological interventions. It is hoped that animal models of OSA-related CV disease will continue to contribute to a deeper understanding of their underlying pathophysiology and will foster the way for the development of cardioprotective treatment options other than conventional CPAP therapy.
Membership Comparable and p-Selective Sets

We show that there exists a 2-membership comparable set that is not btt-reducible to any pselective set. This is a rare example of an unconditional separation in computational complexity. More generally there are 2-membership comparable sets that are not n-tt-reducible to any pselective sets for any constant c. The proof of this result heavily relies on the fact that the p-selector must examine inputs of vastly different lengths. We show that such a restriction is necessary. Consider lengthwise comparators and lengthwise selectors that can only compare strings of the same length. We show that, given P = PSPACE, every lengthwise 2-membership comparable set is 4-tt reducible to a lengthwise p-selective set. We also show that if P = NP, then every 1-cheatable set is 1-tt reducible to a p-selective set.
CUNI at MediaEval 2013 Search and Hyperlinking Task

The paper describes the Charles University setup used in the Search and Hyperlinking task of the MediaEval 2012 Multimedia Benchmark. We applied the Terrier retrieval system to the automatic transcriptions of the video recordings segmented into shorter parts and searched for those relevant to given queries. Two strategies were applied for segmentation of the recordings: one based on regular segmentation according to time and the second based on semantic segmentation by the TextTiling algorithm. The best results were achieved by the Hiemstra and TF-IDF models on the LIMSI transcripts and various segmentation.
The Research of Human-Computer Interaction Model Based on the Morhpable Model Based 3D Face Synthesis in the Speech Rehabilitation for Deaf Children

The 3D face morphable model is applied in the hearing and speech rehabilitation for hearing-impaired children, put forward to 3D face morphable model is the core of special human-computer interaction model. Including 3D face, sound, vibration, air, video, gestures, etc., through the computer generate realistic 3D face expressions and motions, with corresponding voice vibration flow feedback information can be more realistic and comprehensive process of speakers is simulated. The use of data driven 3D face morphable model technology, research on multimodal human-computer interactive technology, to solve the non-artificial intervention for deaf children independent speech rehabilitation training problems. Establishment of 3D face morphable model, the establishment of visual and nonvisual integration of information synchronization algorithm, to achieve true expression to the real face of, set up for deaf children 3D face morphable model Chinese pronunciation database driven, Establish the data driven 3D face morphable model is the core of the deaf children with a computer multimodal human-computer interaction model, based on multimodal human-computer interaction model of hearing speech rehabilitation method and system on.
Tachyonic preheating using 2PI-1/N dynamics and the classical approximation

We study the process of tachyonic preheating using approximative quantum equations of motion derived from the 2PI effective action. The O(N) scalar (Higgs) field is assumed to experience a fast quench which is represented by an instantaneous flip of the sign of the mass parameter. The equations of motion are solved numerically on the lattice, and the Hartree and 1/N-NLO approximations are compared to the classical approximation. Classical dynamics is expected to be valid, since the occupation numbers can rise to large values during tachyonic preheating. We find that the classical approximation performs excellently at short and intermediate times, even for couplings in the larger region currently allowed for the SM Higgs. This is reassuring, since all previous numerical studies of tachyonic preheating and baryogenesis during tachyonic preheating have used classical dynamics. We also compare different initializations for the classical simulations.
Lower bound and optimal scheduling for mean user rebuffering percentage of HTTP progressive download traffic in cellular networks

This work focuses on an analytical investigation a performance of cellular networks for transmission video content. Degradation of video playback is rising, due to increasing a video traffic amount in the modern cellular networks. Stalling of a video stream has the greatest influence to user's personal contentment, which is possible to estimate by rebuffering percentage (percentage of watching time in which user experience is stalling effects). Resource allocation algorithms upgrade at a base station makes possible to decrease degradation effects for video streams. In this article, we propose a lower bound for a mean user's rebuffering percentage of HTTP Progressive Download traffic type in cellular networks in all possible schedulers and optimal scheduling strategy based on it. The performance of the proposed scheduler demonstrates by Key Performance Indicators for video streaming (QoE: Mean Opinion Score and rebuffering percentage) and network (Throughput and Fairness). The obtained results can use as a baseline for performance estimation of existing and new scheduling algorithms for video traffic transmission over cellular networks.
The early history of electrodermal research.

The historical origins and early development of electrodermal research are reviewed in the light of a substantial number of previously unexamined sources. Relevant literature in electrophysio logy, neurology, electrodiagnosis, and electrotherapy is examined with regard to the technology and the context of ideas in science and medicine. The first reports of basal skin resistance (BSR) and stimulated skin resistance (GSR) change by Vigouroux and Fere, respectively, are related to their other research and that of other workers. Hermann's early work on the sudomotor system is seen as much more advanced than has been realized, providing a sound basis for theory which the French apparently never noticed. Several additional sources suggest that TarchanofE's work was performed with awareness of Fere's and was probably not an independent discovery. The growth of the field following "rediscovery" of the GSR by Mueller and Veraguth is seen as a product of interest in indexing "mental events. " The earlier work is seen as conceptually closer to current interest in the phenomena as aspects of the arousal system. DESCRIPTORS: Electrodermal research, History of electrodermal research. Skin resistance, GSR, PGR, Electrophysiology, Electrotherap y, Magnetotherap y, Metallotherapy, Detection of emotions. (R. Blanton) The first observations of psychological factors in relation to electrodermal phenomena are generally attributed to Romain Vigouroux (1879). Yet intensive research in the area was not begun until twenty-five years later, when Veraguth and Jung performed the first experiments with word association. During that I)eriod, four other workers made reports, and two of these, Fere and Tarchanoff, did work of fundamental significance. The field has been extensively reviewed (Prideaux, 1920; Landis ct DeWick, 1929; Landis, 1932; McCleary, 1950), but as has been customary, these reviews were directed toward current questions of theory and method rather than the historical development of the ideas which This paper was supported in part by Grant i^RD-2552-S from the Rehabilitafion Services