gebhart/patrepeval huggingface dataset:
DeepAnT: A Deep Learning Approach for Unsupervised Anomaly Detection in Time Series (2018)

Traditional distance and density-based anomaly detection techniques are unable to detect periodic and seasonality related point anomalies which occur commonly in streaming data, leaving a big gap in time series anomaly detection in the current era of the IoT. To address this problem, we present a novel deep learning-based anomaly detection approach (DeepAnT) for time series data, which is equally applicable to the non-streaming cases. DeepAnT is capable of detecting a wide range of anomalies, i.e., point anomalies, contextual anomalies, and discords in time series data. In contrast to the anomaly detection methods where anomalies are learned, DeepAnT uses unlabeled data to capture and learn the data distribution that is used to forecast the normal behavior of a time series. DeepAnT consists of two modules: time series predictor and anomaly detector. The <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">time series predictor</i> module uses deep convolutional neural network (CNN) to predict the next time stamp on the defined horizon. This module takes a window of time series (used as a context) and attempts to predict the next time stamp. The predicted value is then passed to the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">anomaly detector</i> module, which is responsible for tagging the corresponding time stamp as normal or abnormal. DeepAnT can be trained even without removing the anomalies from the given data set. Generally, in deep learning-based approaches, a lot of data are required to train a model. Whereas in DeepAnT, a model can be trained on relatively small data set while achieving good generalization capabilities due to the effective parameter sharing of the CNN. As the anomaly detection in DeepAnT is unsupervised, it does not rely on anomaly labels at the time of model generation. Therefore, this approach can be directly applied to real-life scenarios where it is practically impossible to label a big stream of data coming from heterogeneous sensors comprising of both normal as well as anomalous points. We have performed a detailed evaluation of 15 algorithms on 10 anomaly detection benchmarks, which contain a total of 433 real and synthetic time series. Experiments show that DeepAnT outperforms the state-of-the-art anomaly detection methods in most of the cases, while performing on par with others.
Flexible grid spacing using Nyquist-shaped channels for undersea transmission (2014)

In this paper, we experimentally study DC-PM-BPSK, PM-QPSK, and PM-16QAM at 35 Gbaud for undersea transmission in a WDM environment with frequency spacing ranging from 50 GHz (DWDM) to 33 GHz (Super-Nyquist). The experimental study focuses on noise, linear cross-talk, and nonlinear tolerance in two undersea applications: (1) Legacy dispersion-managed submarine cables up to 5,000 km in length and (2) New uncompensated submarine cables up to 12,500 km in length. We experimentally demonstrate that a reduction in frequency spacing below the symbol rate can be achieved, and quantify the performance penalties. We also show a comparison of performance and reach between legacy dispersion-managed applications, and new uncompensated applications, as the frequency spacing is reduced below the symbol rate. It is shown that the constellation and line system dispersion map have a significant impact on the tolerance to linear and nonlinear interference generated by narrow frequency spacing.
Fundamentals of Geostatistics in Five Lessons (1989)

Published by the American Geophysical Union as part of the Short Courses in Geology Series, Volume 8. From its inception as a separate discipline, geostatistics sought recognition from practitioners, not from mathematicians or physicists, and rightfully so. Indeed, the theory was essentially established by the 1950's by Kolmogorov and Wiener and exposed by Matern (1960), Whittle (1963), and Mat heron (1965), among others. But there is a long, hard way between a concept expressed by matrix notations in a Hilbert space and its implementation and routine application. It is my opinion that the main contribution of geostatistics has been and still is implementation, an essential follow-up step much too often forsaken by theoreticians.
Polyubiquitination and Proteasomal Degradation of the p185c-B-2 Receptor Protein-tyrosine Kinase Induced by Geldanamycin (1996)

Treatment of SKBr3 human breast carcinoma cells with the benzoquinoid ansamycin, geldanamycin, rapidly depletes p185c-erbB-2 protein-tyrosine kinase. Loss of p185c-erbB-2 is initiated by disruption of a heteromeric complex between p185c-erbB-2 and the 94-kDa glucose-regulated protein, GRP94, to which geldanamycin binds avidly. Here we report that within minutes of exposure to geldanamycin, mature p185c-erbB-2 becomes polyubiquitinated. Treatment of cells with the specific proteasome proteolytic inhibitor, lactacystin, blocked geldanamycin-induced degradation of p185c-erbB-2 and enhanced the accumulation of polyubiquitinated p185c-erbB-2. Following geldanamycin and lactacystin treatment, a higher molecular weight form of p185c-erbB-2, which likely represents ubiquitin-p185c-erbB-2 conjugates, was detected by anti-p185c-erbB-2 immunoblotting. Nascent p185c-erbB-2 synthesized in the presence of geldanamycin is incompletely glycosylated and remains sequestered in the endoplasmic reticulum. While this immature form of the protein is not ubiquitinated in the presence of geldanamycin, its marked, drug-induced instability is nonetheless antagonized by lactacystin. Thus, the rapid depletion of mature p185c-erbB-2 caused by geldanamycin and the marked, drug-stimulated decrease in half-life of the newly synthesized protein are both mediated by the proteasome, although only the former phenomenon involves polyubiquitination.
The Bacillus subtilis sin Operon (2004)

The strategy of combining genes from a regulatory protein and its antagonist within the same operon, but controlling their activities differentially, can lead to diverse regulatory functions. This protein-antagonist motif is ubiquitous and present in evolutionarily unrelated regulatory pathways. Using the sin operon from the Bacillus subtilis sporulation pathway as a model system, we built a theoretical model, parameterized it using data from the literature, and used bifurcation analyses to determine the circuit functions it could encode. The model demonstrated that this motif can generate a bistable switch with tunable control over the switching threshold and the degree of population heterogeneity. Further, the model predicted that a small perturbation of a single critical parameter can bias this architecture into functioning like a graded response, a bistable switch, an oscillator, or a pulse generator. By mapping the parameters of the model to specific DNA regions and comparing the genomic sequences of Bacillus species, we showed that phylogenetic variation tends to occur in those regions that tune the switch threshold without disturbing the circuit function. The dynamical plasticity of the protein-antagonist operon motif suggests that it is an evolutionarily convergent design selected not only for particular immediate function but also for its evolvability.
Combine BIM-based and mobile technologies to design on-site support system for the communication and management of architectural heritage conservation works (2017)

This research aims to analyze the feasibility of BIM technology applied to the on-side restoration works of architectural heritage. For enhancing the accuracy and efficiency of restoration of historic buildings, an on-site support system is built with the external Application Programming Interface (API) includes Revit plugin and mobile app which restoration participants can build a more complete information platform, which enables the real-time exchange of information to minimize gaps that could have existed between the designers and those doing the construction.
Self‐tuning indirect adaptive control of non‐inverting buck–boost converter (2015)

This study presents an approach to system identification and adaptive control of a non‐inverting buck–boost converter in the presence of large signal changes, uncertainty of converter components and effects of imperfect modelling. Feedback loops of DC–DC converters are typically designed conservatively so that the closed‐loop regulation and stability margins are maintained over a pre‐determined range of operating conditions. The proposed approach is able to keep a high‐performance response without the instability issue of dynamic change of the converter. In the presence of uncertainty on the parameters of a DC–DC converter, a digital adaptive controller based on system identification and minimum degree pole placement is proposed. To verify the validity of the proposed digital controller, an experimental setup is constructed for a non‐inverting buck–boost converter and the fully digital adaptive control is implemented by a micro controller. The experimental results show the capability of an adaptive controller during different operating points.
Tri-armed star polymers by living cationic polymerization. 1. Trifunctional initiators for living polymerization of isobutyl vinyl ether (1991)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTTri-armed star polymers by living cationic polymerization. 1. Trifunctional initiators for living polymerization of isobutyl vinyl etherHajime Shohi, Mitsuo Sawamoto, and Toshinobu HigashimuraCite this: Macromolecules 1991, 24, 17, 4926–4931Publication Date (Print):August 1, 1991Publication History Published online1 May 2002Published inissue 1 August 1991https://pubs.acs.org/doi/10.1021/ma00017a032https://doi.org/10.1021/ma00017a032research-articleACS PublicationsRequest reuse permissionsArticle Views239Altmetric-Citations49LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
Real-time correlative scan matching (2009)

Scan matching, the problem of registering two laser scans in order to determine the relative positions from which the scans were obtained, is one of the most heavily relied-upon tools for mobile robots. Current algorithms, in a trade-off for computational performance, employ heuristics in order to quickly compute an answer. Of course, these heuristics are imperfect: existing methods can produce poor results, particularly when the prior is weak. The computational power available to modern robots warrants a re-examination of these quality vs. complexity trade-offs. In this paper, we advocate a probabilistically-motivated scan-matching algorithm that produces higher quality and more robust results at the cost of additional computation time. We describe several novel implementations of this approach that achieve real-time performance on modern hardware, including a multi-resolution approach for conventional CPUs, and a parallel approach for graphics processing units (GPUs). We also provide an empirical evaluation of our methods and several contemporary methods, illustrating the benefits of our approach. The robustness of the methods make them especially useful for global loop-closing.
Model of visual search and selection time in linear menus (2014)

This paper presents a novel mathematical model for visual search and selection time in linear menus. Assuming two visual search strategies, serial and directed, and a pointing sub-task, it captures the change of performance with five fac- tors: 1) menu length, 2) menu organization, 3) target position, 4) absence/presence of target, and 5) practice. The novel aspect is that the model is expressed as probability density distribution of gaze, which allows for deriving total selection time. We present novel data that replicates and extends the Nielsen menu selection paradigm and uses eye-tracking and mouse tracking to confirm model predictions. The same parametrization yielded a high fit to both menu selection time and gaze distributions. The model has the potential to improve menu designs by helping designers identify more effective solutions without conducting empirical studies.
Immunet: a cheap and robust fault-tolerant packet routing mechanism (2004)

A new and efficient mechanism to tolerate failures in interconnection networks for parallel and distributed computers, denoted as Immunet, is presented in this work. In the presence of failures, Immunet automatically reacts with a hardware reconfiguration of the surviving network resources. Immunet has four important advantages over previous fault-tolerant switching mechanisms. Its low hardware costs minimize the overhead that the network must support in absence of faults. As long as the network remains connected, Immunet can tolerate any number of failures regardless of their spatial and temporal combinations. The resulting communication infrastructure provides optimized adaptive minimal routing over the surviving topology. The system behavior under successive failures exhibits graceful performance degradation. Immunet reconfiguration can be totally transparent to the applications running on the parallel system as they will only be affected by the loss of those data packets circulating through the broken components. The rest of the packets will suffer only a tolerable delay induced by the time employed to perform the automatic network reconfiguration. Descriptions of the hardware network architecture and detailed synthetic and execution-driven simulations will demonstrate the benefits of Immunet.
Engineering design for thermocrete central storage units for low temperature solar application. Monthly technical report, August--September 1978 (1978)

Appropriate computer modeling techniques have been identified. Preliminary testing of phase change materials sub-units is being performed. (MHR)
Understanding Short Texts (2016)

Billions of short texts are produced every day, in the form of search queries, ad keywords, tags, tweets, messenger conversations, social network posts, etc. Unlike documents, short texts have some unique characteristics which make them difficult to handle. First, short texts, especially search queries, do not always observe the syntax of a written language. This means traditional NLP techniques, such as syntactic parsing, do not always apply to short texts. Second, short texts contain limited context. The majority of search queries contain less than 5 words, and tweets can have no more than 140 characters. Because of the above reasons, short texts give rise to a significant amount of ambiguity, which makes them extremely difficult to handle. On the other hand, many applications, including search engines, ads, automatic question answering, online advertising, recommendation systems, etc., rely on short text understanding. In all these applications, the necessary first step is to transform an input text into a machine-interpretable representation, namely to understand the short text. A growing number of approaches leverage external knowledge to address the issue of inadequate contextual information that accompanies the short texts. These approaches can be classified into two categories: Explicit Representation Model (ERM) and Implicit Representation Model (IRM). In this tutorial, we will present a comprehensive overview of short text understanding based on explicit semantics (knowledge graph representation, acquisition, and reasoning) and implicit semantics (embedding and deep learning). Specifically, we will go over various techniques in knowledge acquisition, representation, and inferencing has been proposed for text understanding, and we will describe massive structured and semi-structured data that have been made available in the recent decade that directly or indirectly encode human knowledge, turning the knowledge representation problems into a computational grand challenge with feasible solutions insight.
Bacteriorhodopsin is an inside-out protein. (1980)

Neutron scattering is particulary useful when parts of a structure can be deuterated. From Halobacterium halobium we have obtained, by biosynthetic incorporation, purple membranes in which all of the valines or all of the phenylalanines are present in deuterated form. Difference Fourier techniques permit a general assessment of the distribution of valine and phenylalanine in projections of the purple membrane structure. These show that valine is distributed toward the periphery of a single bacteriorhodopsin molecule, whereas phenylalanine is distributed toward its center. We use the facts that the amino acid sequence is known and that much of it can be assigned to the alpha helices of the bacteriorhodopsin structure to interpret our results. Comparison of our maps with the distribution of valine and phenylalanine around alpha-helical perimetrs establishes the distribution of other amino acids and leads to the conclusion that the charged and polar groups of the bacteriorhodopsin molecule tend to lie at the molecular interior, away from contact with lipid, while the nonpolar surfaces are directed outward, making contact with the lipid regions. Thus, the protein is "inside-out" compared with the organization of soluble proteins.
A bio-signal amplifier system with very-large dynamic-range (2007)

The recording of small signals such as body potentials requires high-gain amplification. In a high-gain system even small offset voltages pose a problem when they saturate the amplifier. Especially time-varying offset voltages (e.g. electrode drift) may lead to undesirable blank periods during recording. The system proposed in this work monitors the amplifier output voltage and resets the amplifier before it can leave its dynamic range. The feedback thus provided is not continuous and avoids the shortcomings of conventional filter and feedback approaches. A transistor level implementation of the system is described and simulated results are presented.
Numerical Methods for Optimal Control of Hybrid Electric Agricultural Tractors (2019)

Electrification of agricultural machinery offers substantial benefits and has drawn attentions from manufacturers, so different types of hybrid electric agricultural tractors (HEATs) have been conceptually designed. In HEATs, energy management strategies play an important role to improve the performance of fuel economy. The previous studies are dominated by rule-based strategies. This work proposes optimization-based energy management strategies for HEATs to minimize the fuel consumption in typical working cycles. Based on the optimal control principles, dynamic programming, indirect method, and direct method are used to solve the formulated optimal control problem (OCP) and obtain three different optimal energy management strategies. All the three strategies achieve good performance in solving the OCP. Moreover, compared with the typical rule-based benchmarking strategy, these optimal EMSs show significant improvements in fuel efficiency (up to 5%). At last, the advantages and disadvantages of each method are illustrated and discussed by numerical simulations.
Up to 40 Gb/s Directly Modulated Laser Operating at Low Driving Current: Buried-Heterostructure Passive Feedback Laser (BH-PFL) (2011)

A directly modulated 1.55-μm buried-heterostructure passive feedback laser exhibits a high modulation bandwidth of up to 34 GHz at moderate distributed-feedback (DFB) section currents between 20 and 60 mA. A very flat frequency response and a low alpha parameter have been demonstrated in the small signal modulation analysis. The device has open eyes at data rates of 25 and 40 Gb/s with reduced frequency chirp.
A Reliability Study of Coastal Structures Under the Influence of Waves and Currents -Random Analysis of Fixed Structures- (1995)

This paper investigates the problem of random analysis of fixed structures which are influenced by waves and current. Morison eqution was employed to deal with the wave and current load. The wave kinematics are randomly generated from the wave spectrum. The necessary statistics are calculated from the resulting response time history. The simulation results are turned out to be very sensitive to the simulation technique.
Amyotrophic lateral sclerosis diagnostic index (2019)

This study provides Class I evidence that for patients with suspected ALS, the ALSDI distinguished ALS from neuromuscular mimicking disorders.
A Hybrid Approach to Face Detection under Unconstrained Environments (2006)

To detect faces in natural and unconstrained environments, we propose an approach which combines the advantages of both color and gray scale based methods. The idea consists of first preprocessing the images using a state-of-the-art approach for skin modeling in order to determine the potential skin regions. Thus, a scanning of the whole image when searching for faces is avoided. Then, in contrast to the existing methods, we consider the fact that the skin detection step still may produce unsatisfactory results or even fail and therefore we apply an exhaustive search in and around the detected skin regions using a new gray scale based approach. The experimental results show that the proposed approach inherits the speed from the color based methods and the efficiency from the gray scale based ones
A proposal for two-input arbitrary Boolean logic gates using single semiconductor optical amplifier by picosecond pulse injection (2009)

We propose theoretically two-input arbitrary Boolean logic (NOR, OR, AND, XOR, XNOR, NAND) using single semiconductor optical amplifier (SOA) assisted by several detuning optical filters. The probe spectrum is broadened by picosecond pulse injection in the SOA, and four consequent optical Gaussian filters are used to select different frequency components to acquire logic NOR, OR, AND, XOR, respectively. Then two additional logic gates, XNOR and NAND, are realized by combining two logic channels. The power penalty, Q-factor, and extinction ratio are measured for all logic gates. It is shown that the output logic with dark return-to-zero (RZ) format has a large power penalty. The Q-factor is larger than 6 and the extinction ratio is larger than 6.3 dB for all logic gates within 16 nm wavelength range.