gebhart/patrepeval huggingface dataset:
Utility adaptive service brokering mechanism for personal cloud service (2011)

Recently, various researchers focus on the cloud computing service to be personally provided by mobile devices. In this paper, we propose a utility adaptive service brokering mechanism in personal cloud environments. For this, we define utility model based on user's and service provider's status information, such as user's preference and device information, provider's capacity and reputation information, and others, for a personal cloud service environment. Using the utility model, we propose the utility adaptive personal cloud service brokering mechanism and the efficient communication procedure throughout proposed brokering mechanism. The utility adaptive service broker matches a service user (consumer) to a specific service to maximize utility of user. Also, it concurrently considers a service provider to get adequate benefit such as cost effectiveness and utilization of resources as providing own services to the service user. Finally, we show that the proposed utility adaptive personal cloud service brokering mechanism allows more flexible and global personal cloud services to dynamic context of users and service providers, as well as device independent properties among multi-devices belonging to a user.
Neutral lipids and phospholipids in Scots pine (Pinus sylvestris) sapwood and heartwood (2002)

Variations in the concentration and composition of triacylglycerols, free fatty acids and phospholipids were analyzed in Scots pine (Pinus sylvestris L.) trees at five sites. Disks were taken at breast height or at a height of 4 m from the stems of 81 trees differing in diameter and growth rate. The mean concentration of triacylglycerols in sapwood was 26 mg g(-1) dry mass; however, variation among trees was large (16-51 mg g(dm)(-1)). The concentration of triacylglycerols was slightly larger at 4 m height in the stem than at breast height. Concentrations of triacylglycerols did not differ between the sapwood of young and small-diameter stems (DBH < 12 cm) and the sapwood of old stems (DBH > 36 cm). Concentrations of free fatty acids were negligible in the outer sapwood, but ranged between 5 and 18 mg g(dm)(-1) in the heartwood. The most abundant fatty acids of triacylglycerols were oleic (18:1), linoleic (18:2omega6, 18:2Delta5,9), linolenic (pinolenic, 18:3Delta5,9,12 and 18:3omega3) and eicosatrienoic acid (20:3Delta5,11,14 and 20:3omega6). The concentration of linoleic acid comprised 39-46% of the triacylglycerol fatty acids and the concentration was higher in the slow-growing stem from northern Finland than in the stems from southern Finland. Major phospholipids were detected only in sapwood, and only traces of lipid phosphorus were detected in heartwood.
Metal-Embedded Chiplet Assembly for Microwave Integrated Circuits (2020)

This letter provides an overview of the metal-embedded chiplet assembly for microwave integrated circuits (MECAMICs) technology. MECAMIC is a 2.5-D wafer-level packaging approach that provides seamless heterogeneous integration capabilities of compound semiconductor transistors (e.g., GaN HEMTs) with passive components and interconnects using a backside metal embedding process. The chiplets are embedded in through-interposer cavities, and the backside metallization locks the chiplets into position while providing dc and RF ground for the high-frequency circuits. With this hybrid manufacturing approach, high-performance RF ICs can: 1) be designed using the best transistor technology for the function; 2) be fabricated in short cycle times through hybrid manufacturing; and 3) compete performancewise with monolithic circuits. We demonstrated an X-band power amplifier circuit realized in MECAMIC with a saturated output power of 31 dB and a peak power added efficiency of 54%, which compared favorably to its monolithic GaN monolithic microwave integrated circuit (MMIC) counterpart. The MECAMIC process cycle time was 4.5× faster than the monolithic process.
A particle swarm optimization - least mean squares algorithm for adaptive filtering (2005)

A particle swarm optimization-least mean squares (PSO-LMS) algorithm is presented for adapting various classes of filter structures. The LMS algorithm is widely accepted as the preeminent adaptive filtering algorithm because of its speed, efficiency and provably convergent local search capabilities. However, for multimodal error surfaces, a global search algorithm, such as PSO or the genetic algorithm (GA), is required. The proposed PSO-LMS hybrid algorithm combines the advantageous properties of the two conventional algorithms to provide enhanced performance characteristics.
The Rh Antigen D: Partial D Antigens and Associated Low Incidence Antigens (1996)

The expression of the Rh antigen D varies quantitatively and qualitatively (partial D); published information and 15 years' work studying D variants are discussed in this review. D epitopes correspond to the reaction patterns of monoclonal anti-D with partial D antigens. Partial D antigens can be reported in terms of their D epitopes but the epitope profile of cells with a quantitative variant of D (weak D) is difficult to determine reliably by haemagglutination tests. Nine partial D antigens, categories II-VII, DFR and two not previously reported, are identified by their epitope profiles and by association with low incidence antigens. Monoclonal anti-D recognize 16 D epitopes and more epitopes are anticipated. The specificities of polyclonal anti-D made by people with partial D antigens are considered in terms of possible D epitope specificities: recognized epitope specificities, or combination thereof, were not able to account for all observed reaction patterns of anti-D made by immunized individuals with partial D phenotypes. An attempt is made to understand partial D antigens and their associated low incidence antigens in terms of the molecular genetic information available.
Gerência de redes sensores sem fio com SNMP: uma abordagem com proxy gateway (2013)

Este trabalho apresenta uma abordagem para gerência de rede sensores sem fio (RSSF) com utilização do Simple Network Management Protocol (SNMP). Nesta proposta, foi introduzido elemento chamado SNMP Proxy Gateway (SPG) que tem objetivo de fazer a interconexão das arquiteturas de rede para gerência sem a necessidade de alteração ou adaptação da pilha de protocolos TCP/IP. Para isso, foi implementado protótipo de gerência da rede através de um conjunto hardware e software com função de fazer a transcrição dos PDUs do SNMP para a RSSF. Um conjunto de experimentos foram executados em laboratório com objetivo de testar a proposta e validar os resultados obtidos.
Single-phase matrix converter (1997)

A topology of a single-phase AC/AC direct converter is presented. The circuit composed from four ideal power switches is used as a frequency step-up converter. The equations of the proposed converter are developed, its switching angle pattern is calculated and the dynamic behaviour of the system is simulated. Using a power MOSFET and four Schottky diodes the basic power switch is assembled and a converter fed from 50 V (rms), 50 Hz, supplying a passive R, L load operated at 100 Hz, was constructed. Satisfactory agreement between simulated and laboratory results was observed.
Semiconducting polymer dots with bright narrow-band emission at 800 nm for biological applications (2017)

The development of near-infrared (NIR) fluorescent probes is critical for <i>in vivo</i> exploration of the fundamental and complex processes in living systems by noninvasive fluorescence imaging techniques. Semiconducting polymer dots (Pdots) are emerging as important probes that exhibit several advantages, such as high brightness and biocompatibility. However, NIR-emitting Pdots are very rare, particularly at the center (∼800 nm) of the first optical window of biological tissues (between 650 nm and 950 nm). In this paper, we describe the synthesis of a semiconducting polymer with bright and narrow-band emission at 800 nm. The polymer was designed by incorporating a NIR porphyrin unit into a conjugated backbone; the polymer used a cascade energy transfer to produce the signal. The resulting Pdots possessed a narrow emission bandwidth (FWHM ∼ 23 nm) and good fluorescence quantum yield (QY = 8%), which is high for a near-IR emitter. The Pdots were bioconjugated with streptavidin for specific labeling of cellular targets, yielding higher staining index when compared with commercial NIR probes, such as PE-Cy7. Moreover, the NIR polymer was combined with a long-wavelength absorbing polymer to make bright Pdots (QY = 15%) for <i>in vivo</i> noninvasive imaging. These NIR Pdots with surface PEGylation led to high-contrast imaging of lymph nodes and tumors in a mouse model. This work highlights the great potential of the NIR Pdots for cellular and <i>in vivo</i> imaging applications.
Design and Development of a Dynamically Scaled Distributed Electric Propulsion Aircraft Testbed (2018)

This paper details the motivation and design of a dynamically-scaled, distributed electric ducted fan testbed aircraft that was developed at the University of Illinois at Urbana-Champaign as part of a Phase I NASA STTR, in collaboration with Empirical Systems Aerospace. A 21 % subscale model of a Cirrus SR22T was developed and instrumented to perform system identification flight testing in support of dynamics model validation. A new wing configuration, featuring a series of electric ducted fans integrated into the wing upper trailing edge, was designed in order to provide a platform to investigate and quantify the effects of propulsion-airframe interactions and the effectiveness of propulsive-based control. Analysis and trade studies were performed to select an appropriate fan configuration that provided sufficient differential thrust to allow similar propulsion-based yaw control authority as the rudder control surface of the baseline vehicle. Wind tunnel experiments were performed on select propulsor combinations of motors, electronic speed controllers, and fans to validate performance specifications and capabilities. The new distributed electric propulsion wing was built and integrated into the baseline Cirrus and a simplified ground testing apparatus was constructed to validate the propulsion system before flight. The feasibility of scaling the designed distributed electric propulsion concept to a full-size equivalent general aviation aircraft was then explored.
Challenges to Supporting Federated Assurance (2009)

Federation is an identity management model in which various tasks associated with an identity transaction are distributed among the actors involved in the transaction. This model works from the premise that distributing tasks among the actors can achieve usability and privacy advantages for the user, as well as business efficiencies for businesses or applications. Typically, federated identity manifests itself as transferring some aspect of a user's identity from one entity to another. Web single sign-on is an archetypical example of a federated transaction, in which a user authenticates to one Web site and can then access another with the same login.
Recovering shape and irradiance maps from rich dense texton .elds (2004)

We describe a method that recovers an estimate of surface shape and of the irradiance field for a textured surface. The method assumes the surface is viewed in scaled orthography, and we demonstrate the appropriateness of this assumption. Our method uses interest points to obtain the locations of putative texton instances, clusters the textons into types, and then uses an autocalibration method to recover the frontal appearance of each texton model. This yields (a) a dense set of normal estimates, each up to a two-fold ambiguity, (b) a dense set of irradiance estimates and (c) whether each instance is, in fact, an instance of the relevant texton. Because we are able to obtain a very large number of instances of a large number of different textons, this information is obtained at sites very closely spaced in the image. As a result, we need only a simple smoothness constraint to reconstruct a surface model, using EM to resolve the normal ambiguity. We show results on images of real scenes, comparing our reconstructions with those obtained using other methods and demonstrating the accuracy of both the recovered shape and the irradiance estimate.
<title>Electromagnetic energy transport below the diffraction limit in periodic metal nanostructures</title> (2001)

We investigate the possibility of using arrays of closely spaced metal nanoparticles as waveguides for electromagnetic energy below the diffraction limit of visible light. Coupling between adjacent particles sets up coupled plasmon modes that give rise to coherent propagation of energy along the array. A point dipole analysis predicts group velocities of energy transport that exceed 0.1c along straight arrays and shows that energy transmission through chain networks such as corners and tee structures is possible at high efficiencies. Although radiation losses into the far field are negligible due to the near-field nature of the coupling, resistive heating leads to transmission losses of about 3 dB/500 nm for gold and silver particles. We confirmed the predictions of this analytical model using numeric finite difference time domain (FDTD) simulations. Also, we have fabricated gold nanoparticle arrays using electron beam lithography to study this type of electromagnetic energy transport. A modified illumination near field scanning optical microscope (NSOM) was used as a local excitation source of a nanoparticle in these arrays. Transport is studied by imaging the fluorescence of dye-filled latex beads positioned next to the nanoparticle arrays. We report on initial experiments of this kind.
High Temperature Multilayer Environmental Barrier Coatings Deposited Via Plasma Spray-Physical Vapor Deposition (2014)

Si-based ceramic matrix composites (CMCs) require environmental barrier coatings (EBCs) in combustion environments to avoid rapid material loss. Candidate EBC materials have use temperatures only marginally above current technology, but the addition of a columnar oxide topcoat can substantially increase the durability. Plasma Spray-Physical Vapor Deposition (PS-PVD) allows application of these multilayer EBCs in a single process. The PS-PVD technique is a unique method that combines conventional thermal spray and vapor phase methods, allowing for tailoring of thin, dense layers or columnar microstructures by varying deposition conditions. Multilayer coatings were deposited on CMC specimens and assessed for durability under high heat flux and load. Coated samples with surface temperatures ranging from 2400-2700F and 10 ksi loads using the high heat flux laser rigs at NASA Glenn. Coating morphology was characterized in the as-sprayed condition and after thermomechanical loading using electron microscopy and the phase structure was tracked using X-ray diffraction.
A Robust Wavelet-Domain Watermarking Algorithm for Color Image (2006)

This paper presents a chaos-based watermarking algorithm in the wavelet transform domain for color images. In contrast to conventional approaches, in which the wavelet transform coefficient is used for watermarking and the whole image is transformed into frequency coefficient, the wavelet transform is applied only to local subblock. DWT is used to transform the subimage, which is extracted from the original image randomly. And then the watermark image is adaptively embedded into part of the subband coefficients by computing their statistic characteristic. Without using the original image, the watermark is extracted by computing the statistic summation of the watermarked detail coefficients, where the threshold is chosen. Simulation results show that the proposed method possesses high fidelity and high robustness, especially under the typical attack of geometric operations
Effect of Halide Ion Adsorption upon Plasmon-Mediated Photoelectron Emission at the Silver/Solution Interface (1997)

The effect of the roughening of the silver surface upon photoemission observed in the presence of two different scavengers dissolved in an aqueous solution, CO2 and NO3- ions, was re-examined. The quantum yield of the photocurrent exhibits a sharp maximum at 370−380 nm in the frequency range of surface plasmons on silver. These photoyields were strongly affected by the extent of the roughening of the Ag surface and reached an unusually large value of 0.05 electron per incident photon. Electrochemical oxidation/reduction roughening performed in the presence of Cl-, Br-, and ClO4- ions, similar to that employed in enhanced Raman scattering (SERS) experiments, affected the maximum of the photocurrent and in some cases also its onset potential. Photocurrents arising at potentials more negative than the potential of zero charge (pzc) of silver were principally influenced by changing morphology of the surface resulting from more or less deep roughening performed in different solutions. On the other hand, the photoelectrochemical behavior of silver at potentials positive with respect to the pzc was clearly affected by the specific adsorption of anions of the supporting electrolyte. It was, in particular, the Br- anion that caused in this potential region the strongest enhancement of the photocurrent, associated with the reduction of scavengers and led to an apparent positive shift of the onset potential. The role played by the specifically adsorbed anions is interpreted in terms of slowing down the reverse reactions of solvated electrons and of reaction intermediates (such as, for example, the NO32- anion) returning to the electrode.
A Survey on Malware Detection Using Data Mining Techniques (2017)

In the Internet age, malware (such as viruses, trojans, ransomware, and bots) has posed serious and evolving security threats to Internet users. To protect legitimate users from these threats, anti-malware software products from different companies, including Comodo, Kaspersky, Kingsoft, and Symantec, provide the major defense against malware. Unfortunately, driven by the economic benefits, the number of new malware samples has explosively increased: anti-malware vendors are now confronted with millions of potential malware samples per year. In order to keep on combating the increase in malware samples, there is an urgent need to develop intelligent methods for effective and efficient malware detection from the real and large daily sample collection. In this article, we first provide a brief overview on malware as well as the anti-malware industry, and present the industrial needs on malware detection. We then survey intelligent malware detection methods. In these methods, the process of detection is usually divided into two stages: feature extraction and classification/clustering . The performance of such intelligent malware detection approaches critically depend on the extracted features and the methods for classification/clustering. We provide a comprehensive investigation on both the feature extraction and the classification/clustering techniques. We also discuss the additional issues and the challenges of malware detection using data mining techniques and finally forecast the trends of malware development.
A novel approach to detecting non-native speakers and their native language (2010)

Speech contains valuable information regarding the traits of speakers. This paper investigates two aspects of this information. The first is automatic detection of non-native speakers and their native language on relatively large data sets. We present several experiments which show how our system outperforms the best published results on both the Fisher database and the foreign-accented English (FAE) database for detecting non-native speakers and their native language respectively. Such performance is achieved by using an SVM-based classifier with ASR-based features integrated with a novel universal background model (UBM) obtained by clustering the Gaussian components of an ASR acoustic model. The second aspect of this work is to utilize the detected speaker characteristics within a speaker recognition system to improve its performance.
Ultrasound-Image-Based Cardiovascular Tissue Motion Estimation (2016)

The estimation of cardiovascular tissue motion from ultrasound images is a task of considerable importance but has remained difficult in clinical practice, mainly due to the limitations of ultrasound imaging and the complexity of tissue motion. This paper presents a survey of methodologies, along with physiologically relevant findings, regarding the estimation of motion of the myocardium and of central and peripheral arteries. Speckle tracking and modeling, and registration are the dominant methods used to calculate tissue displacements from sequences of images. Kinematic and mechanical indices are extracted from these displacements, which can provide valuable functional information about the cardiovascular system in normal and diseased conditions. An important application of motion-based strain indices involves the estimation of elastograms of the cardiovascular tissue. Motion analysis methods can be used to estimate a number of regional mechanical phenomena representing functional tissue properties, which are more sensitive to early changes due to ageing or disease. The importance of these methods lies in their potential to quantify in vivo tissue properties and to identify novel noninvasive personalized disease markers, toward early detection and optimal management of disease, along with increased patient safety. Their clinical usefulness remains to be demonstrated in large trials.
Early diagnosis of subacute free wall rupture complicating acute myocardial infarction (1993)

Of 2608 consecutive patients with acute myocardial infarction, 24 developed subacute free wall rupture (= 0.92%; 95% C.I. = 0.6-1.4). Clinical manifestations varied widely (shock on admission; 25% of cases; severe arrhythmias followed by shock: 17%; shock during hospital stay: 42%; symptoms suggestive of infarct extension without shock: 17%). The electrocardiograms were confusing rather than revealing: 56% of patients showed new ST segment elevations of 0.2 to 1 mV in the infarct-related leads, while autopsy or creatinine phosphokinase evidence of infarct extension was missing. In the first 21 cases, therefore, no definitive diagnosis was made before autopsy. Using 197 infarct patients in cardiogenic shock or with infarct extension during the acute stage, i.e. a patient group with comparable clinical manifestations, as control group, a logistic regression model was generated in which the variables age, lateral wall involvement and history of hypertension were used for estimating the probability of subacute rupture. In fact, probability may rise to more than 40% in major subgroups. As death occurred after a median interval of 8 h (45 min-6.5 weeks) following the onset of rupture symptoms, echocardiography must be performed urgently in all cases presenting symptoms of shock or infarct extension. Pretest probability which can be roughly estimated from our model as well as sensitivity and specificity of individual echocardiographic or clinical parameters are indispensable for correct therapeutic decisions. The routine application of this algorithm in our department contributed to a timely diagnosis in the last three consecutive cases of whom one patient survived.