Miracle-dz/UniFAR-FTUs huggingface dataset:
Savant: A framework for supporting content accountability in information centric networks

The Information Centric Networking (ICN) paradigm offers solutions to some of the functional and performance limitations of the current Internet architecture by offering secure, efficient and scalable mechanisms for the delivery of content to end-users. However, ICN architectures fail to provide adequate content accountability for the content distribution process. (We use accountability and feedback interchangeably to refer to the logging information collected as part of the content distribution process). In this paper we propose the Savant architecture, which is a scalable accountability framework for ICN content distribution. We outline our current work and some preliminary results, which demonstrate the viability and scalability of the Savant architecture. Finally, we briefly outline avenues for future work.
Bi-criteria torque optimization of redundant manipulators based on a simplified dual neural network

The bi-criteria joint torque optimization of kinematically redundant manipulators balances between the energy consumption and the torque distribution among the joints. In this paper, a simplified dual neural network is proposed to solve this problem. Joint torque limits are incorporated simultaneously into the proposed optimization scheme. The simplified dual network has less numbers of neurons compared with other recurrent neural networks and is proved to be globally convergent to optimal solutions. The control scheme based on the recurrent neural network is simulated with the PUMA 560 robot manipulator to demonstrate effectiveness.
The role of background knowledge : using a problemfrom chemistry to examine the performance of anILP program

Inductive Logic Programming (ILP) systems construct explanations for data in terms of domain-speciic background information. How does the quality of this information aaect the performance of an ILP system? Results from experiments concerned with learning simple programs for list processing suggest that performance is sensitive to the type and amount of background knowledge provided. In particular, background knowledge that contains large amounts of information that is known to be irrelevant to the problem being considered can, and typically does, prevent an ILP system in its search for an correct explanation. The experiments reported here are a completely redone version of those presented in 13]. The results there were withdrawn from publication. 1 In this paper, we examine a more realistic scenario where the relevance of background predicates is graded from being more to less relevant to the problem considered, and no \correct explanation" is known. Theoretical or empirical answers to the performance of an ILP system under such conditions address more directly the concerns of a practitioner. Using a problem from chemistry, this paper reports on an empirical study of the change in the performance of an ILP program as increasingly generic chemical deenitions are added to background knowledge. The problem examined is the task of obtaining rules describing the mutagenic activity of small molecules. The experiments describe the use of the ILP program Progol, and the eeect of adding atom and bond structure, bulk molecular properties, 2 and 3-dimensional descriptions of the molecules as background knowledge. The results show that adding highly relevant background predicates causes signiicant improvements in predictive accuracy, simplicity and time for theory construction. These eeects are less pronounced, although still noticeable, along the scales of accuracy and simplicity as the background knowledge includes increasingly more generic { and hence not as directly relevant { chemical knowledge. For a practitioner concerned with use of ILP, the results suggest that good \\rst-cut" results can be obtained quickly by a simple exclusion of information known to be less relevant.
The Role of Dissonance in Knowledge Exchange: A Case Study of a Knowledge Management System Implementation

This study examines the non-adoption of a knowledge management system for knowledge exchange among a distributed group of non-life insurance experts. The users participated with enthusiasm in the design process where they provided functional and data specifications for the system. However, a few months after introduction, the system was hardly being used at all. The analysis of the case suggests that non-use of a system can be understood in terms of dissonance, a dominant theme observed in the social dynamics of the implementation. Dissonance was observed through disparate mental models of a system's intention and use, disparate mental models of knowledge and knowledge ownership, and relational power dissonance where the spirit of knowledge sharing imbued in the mission of the system challenges the relational power position between the affected stakeholder groups. Understanding the implications of these issues can be used to inform a requirements engineering process for these kinds of software applications.
Synchronised tracking control of multi-agent system with high order dynamics

This study is concerned with the synchronised tracking control for multiple agents with high-order dynamics, whereas the desired trajectory is only available for a portion of the team members. Using the weighted average of the neighbours' states as the reference signal, adaptive neural network (NN) control is designed for each agent in both full-state and output feedback cases. It is proved that the adaptive NN control law guarantees that the tracking error of each agent converges to an adjustable neighbourhood of the origin for both cases although some of them do not access the desired trajectory directly. Two simulation examples are provided to demonstrate the performance of the proposed approaches.
Ages and Metallicities of Extragalactic Globular Clusters from Spectral and Photometric Fits of Stellar Population Synthesis Models

Spectra of galaxies contain an enormous amount of information about the relative mixture of ages and metallicities of constituent stars. We present a comprehensive study designed to extract the maximum information from spectra of data quality typical in large galaxy surveys. These techniques are not intended for detailed stellar population studies that use high-quality spectra. We test techniques on a sample of globular clusters, which should consist of single stellar populations and provide good test cases, using the Bruzual-Charlot high-resolution stellar population synthesis models to simultaneously estimate the ages and metallicities of 101 globular clusters in M31 and the Magellanic Clouds. The clusters cover a wide range of ages and metallicities, 4 Myr < tage < 20 Gyr and -1.6 < [Fe/H] < +0.3, estimated by other methods in the literature. We compare results from model fits to both the spectra and photometry and find that fits to continuum-normalized spectra over the entire range available, typically 3500 Å to 1 μm for this sample, provide the best results. For clusters older than 1 Gyr we agree with literature ages to 0.16 dex (35%) and [Fe/H] to 0.12 dex. For younger clusters we agree with literature ages to 0.3 dex (63%) but cannot constrain the metallicity. It is particularly important to use the entire continuum-normalized spectrum to avoid problems with model continua for young objects and to break age-metallicity degeneracies of broadband photometry. Our required S/N is 15-30 Å-1 for 20% age uncertainties and 30-55 Å-1 for 10% uncertainties over spectral resolutions of Δλ = 5-25 Å. This technique should work well for the age-metallicity parameter space expected for early-type galaxies at z ~ 1, although individual galaxy spectral S/N may require the co-addition of a few like objects.
Rest-frame optical continua of L∼L*, z > 3 quasars: probing the faint end of the high-z quasar luminosity function

Near-infrared (IR) photometry for 20 radio-loud z > 3 quasars, 16 of which are radio-selected, are presented. These data sample the rest-frame optical/ultraviolet (UV) continuum, which is commonly interpreted as emission from an accretion disc. In a previous study, we compared the rest-frame optical/UV continuum shapes of 15 optically bright (V 3 quasars with those of 27 low-redshift (z ∼ 0.1) quasars that were matched to the high-redshift sample in evolved luminosity (i.e. having luminosities ranging from 1 to 7 times the characteristic luminosity, L ∗ , where L ∗ ∼ (1 + z) ∼3 ) to look for signs of evolution in the central engines. We found the continuum shapes at z ∼ 0.1 and z > 3 similar, consistent with no significant change in the ratio ˙ m/M, where ˙ m is the accretion rate with respect to the Eddington rate and M is the black-hole mass. This study expands our earlier high-redshift sample to lower luminosity, away from extreme objects and towards a luminosity overlap with lower-redshift samples. The distribution of rest-frame optical/UV continuum shapes for this fainter sample is broader, extending further to the red than that of the brighter z > 3 sample. Three quasars from this fainter sample, two radio-selected and one optically selected, have optical continuum slopes α< − 1( Fν ∼ ν α ). The optically selected one, LBQS 0056+0125, appears to be reddened by dust along the line of sight or in the host galaxy, whereas the radio-selected ones, PKS 2215+02 and TXS 2358+189, could derive their red continua from the contribution of a relatively strong synchrotron component to the rest-frame optical. These objects may represent a bridge to a population of very red high-redshift quasars to which ongoing or future near-IR, optical and deep X-ray surveys will be sensitive.
Encounter-based routing in delay tolerant networks

Delay tolerant networks are intermittently connected. In this paper, we propose a DTN routing scheme EBR. The scheme is based on the idea of exploiting inter-contact time between mobile nodes to predict the number of nodes with no copy a node will encounter within the expected delay. In EBR, every node with message copies dynamically chooses the number of copies by itself. We evaluate the performance of EBR through various simulations. Simulation results show that EBR has good performance with low overhead in most scenarios.
Urban area extraction from Polarimetric SAR imagery using only positive samples

In this paper, we present a study of extracting urban areas from Polarimetric Synthetic Aperture Radar (PolSAR) images using only positive samples. We solve this problem by learning a standard binary classifier (urban/non-urban) given an incomplete set of positive samples (urban) and a set of unlabeled samples (some of which are urban and some of which are non-urban) based on the work of Elkan and Noto. Our experiments on RADARSAT-2 fully PolSAR data show that learning with only positive samples can significantly reduces the manual work to select completed positive and negative samples that required by a traditional binary classifier, while providing satisfactory results. Meanwhile, multiple diverse features can be effectively combined for better extraction accuracy.
A Stochastic Sensor Selection Scheme for Sequential Hypothesis Testing With Multiple Sensors

We study the problem of binary sequential hypothesis testing using multiple sensors with associated observation costs. An off-line randomized sensor selection strategy, in which a sensor is chosen at every time step with a given probability, is considered. The objective of this work is to find a sequential detection rule and a sensor selection probability vector such that the expected total observation cost is minimized subject to constraints on reliability and sensor usage. First, the sequential probability ratio test is shown to be the optimal sequential detection rule in this framework as well. Efficient algorithms for obtaining the optimal sensor selection probability vector are then derived. In particular, a special class of problems in which the algorithm has complexity that is linear in the number of sensors is identified. An upper bound for the average sensor usage to estimate the error incurred due to Wald's approximations is also presented. This bound can be used to set a safety margin for guaranteed satisfaction of the constraints on the sensor usage.
A Vision based Application for Virtual Mouse Interface Using FingerTip

This paper presents a vision based virtual mouse interface using a single camera. A virtual panel which is a rectangular board with its borders shaded by red color and its four corners shaded by blue color are extracted using HSV color quantization. In consecutive frames of a video, four corners are tracked using color based histogram tracker. The four corners of rectangular panel are mapped to computer screen using Projective mapping. The position and direction of finger tip on virtual panel is estimated using ellipse fitting. The system identifies click events by a V shaped gesture recognized using Fourier descriptor and Nonlinear SVM. Keywords— Quadrangular Virtual-panel, HSV Color Quantization, Tracking, Homography, Ellipse-fitting, Fourier descriptor, Support Vector Machine.
Glasgow's Stereo Image Database of Garments

To provide insight into cloth perception and manipulation with an active binocular robotic vision system, we compiled a database of 80 stereo-pair colour images with corresponding horizontal and vertical disparity maps and mask annotations, for 3D garment point cloud rendering has been created and released. The stereo-image garment database is part of research conducted under the EU-FP7 Clothes Perception and Manipulation (CloPeMa) project and belongs to a wider database collection released through CloPeMa (this http URL). This database is based on 16 different off-the-shelve garments. Each garment has been imaged in five different pose configurations on the project's binocular robot head. A full copy of the database is made available for scientific research only at this https URL.
Uniqueness of Generalized Equilibrium for Box Constrained Problems and Applications

In recent work, Simsek-Ozdaglar-Acemoglu [5] prove a generalization of the Poincare-Hopf Theorem and establish sufficient conditions for the uniqueness of generalized critical points (generalized equilibria) under some regularity assumptions. In this paper, we restrict ourselves to functions on box-constrained regions and establish the uniqueness of the generalized critical point with weaker regularity assumptions than in [5]. We use our uniqueness result to show the uniqueness of equilibrium in two recent network control models.
Large-Area, High-Resolution Tree Cover Mapping with Multi-Temporal SPOT5 Imagery, New South Wales, Australia

Tree cover maps are used for many purposes, such as vegetation mapping, habitat connectivity and fragmentation studies. Small remnant patches of native vegetation are recognised as ecologically important, yet they are underestimated in remote sensing products derived from Landsat. High spatial resolution sensors are capable of mapping small patches of trees, but their use in large-area mapping has been limited. In this study, multi-temporal Satellite pour l’Observation de la Terre 5 (SPOT5) High Resolution Geometrical data was pan-sharpened to 5 m resolution and used to map tree cover for the Australian state of New South Wales (NSW), an area of over 800,000 km2. Complete coverages of SPOT5 panchromatic and multispectral data over NSW were acquired during four consecutive summers (2008–2011) for a total of 1256 images. After pre-processing, the imagery was used to model foliage projective cover (FPC), a measure of tree canopy density commonly used in Australia. The multi-temporal imagery, FPC models and 26,579 training pixels were used in a binomial logistic regression model to estimate the probability of each pixel containing trees. The probability images were classified into a binary map of tree cover using local thresholds, and then visually edited to reduce errors. The final tree map was then attributed with the mean FPC value from the multi-temporal imagery. Validation of the binary map based on visually assessed high resolution reference imagery revealed an overall accuracy of 88% (±0.51% standard error), while comparison against airborne lidar derived data also resulted in an overall accuracy of 88%. A preliminary assessment of the FPC map by comparing against 76 field measurements showed a very good agreement (r2 = 0.90) with a root mean square error of 8.57%, although this may not be representative due to the opportunistic sampling design. The map represents a regionally consistent and locally relevant record of tree cover for NSW, and is already widely used for natural resource management in the state.
On the consistency of peculiar GRBs 060218 and 060614 with the Ep,i - Eiso correlation

We analyze and discuss the position of GRB 060218 and GRB 060614 in the $E_{\rm p,i} - E_{\rm iso}$ plane. GRB 060218 is important because of its similarity with GRB 980425, the prototypical event of the GRB–SN connection. While GRB 980425 is an outlier of the $E_{\rm p,i} - E_{\rm iso}$ correlation, we find that GRB 060218 is fully consistent with it. This evidence, combined with the “chromatic” behavior of the afterglow light curves, is at odds with the hypothesis that GRB 060218 was a “standard” GRB seen off-axis and supports the existence of a class of truly sub-energetic GRBs. GRB 060614 is a peculiar event not accompanied by a bright supernova. Based on published spectral information, we find that also this event is consistent with the $E_{\rm p,i} - E_{\rm iso}$ correlation. We discuss the implications of our results for the rate of sub-energetic GRBs, the GRB/SN connection and the properties of the newly discovered sub-class of long GRBs not associated with bright supernovae. We have included in our analysis other recent GRBs with clear evidence (or clear evidence of lack) of associated SNe.
Attitude Certainty and Conflict Style

Little research has examined the properties of people’s attitudes that predict how they will respond to conflict with others whose opinions differ. We propose that one aspect of attitude certainty—attitude correctness, or the perception that one’s attitude is the “right” attitude to have—will predict more competitive conflict styles. This hypothesis was tested across five data sets comprising four studies. In Studies 1a and 1b, perceptions of attitude correctness (but not another form of attitude certainty, attitude clarity) predicted participants’ tendencies to send competitive messages to an ostensible partner who held the opposite opinion. In Studies 2 to 4, manipulations of attitude correctness, but not attitude clarity (Study 3), also increased competitiveness in conflict, and perceived correctness mediated the effect of the correctness manipulation on conflict style (Study 4). The present research has implications for both the predictors of conflict style and the consequences of different forms of attitude certainty.
The relationship between innovation capability and performance : The moderating effect of measurement

Purpose – The purpose of this paper is to discuss whether performance measurement moderates the relationship between innovation capability and firm performance. Design/methodology/approach – The study was conducted through a web-based survey in small- and medium-sized enterprises (SMEs). A total of 311 responses were received from a sample of 2,400 randomly selected SMEs. Findings – Consistent with predictions, the link between innovation capability and firm performance is significant in the presence of performance measurement. Performance measurement can thus be used as a tool for improving the performance of SMEs through innovation capability. Practical implications – Using the results of this study, practitioners can improve their innovation capability through performance measurement by taking better account of various aspects. Originality/value – Previous research has studied the effects of performance measurement, but not in the area of innovation management. Previous research has also showed that me.
Using Contingent Valuation to Measure the Compensation Required to Gain Community Acceptance of a Lulu: the Case of a Hazardous Waste Disposal Facility

This article examines an application of the contingent valuation (CV) method to Abstract measure the compensation required for the siting of a hazardous waste disposal facility. First, the risk valuation literature on the siting of a hazardous waste facility is discussed. In this section, the authors discuss past studies using contingent valuation techniques and the importance of subjective risk assessment. Second, a contingent valuation survey is performed to measure willingness to accept (WTA) using a dichotomous choice referendum framework. Using these data, the authors test for the internal consistency of the responses and calculate the WTA for siting a hazardous waste disposal facility. The authors conclude that CV can be used to estimate reasonable measures of WTA and is a potentially useful tool for assessing the compensation required to site a hazardous waste disposal facility.
The Entire Trajectories of Single Olivocerebellar Axons in the Cerebellar Cortex and their Contribution to Cerebellar Compartmentalization

The functional partitioning of the cerebellar cortex depends on the projection patterns of its afferent and efferent neurons. However, the entire morphology of individual projection neurons has been demonstrated in only a few classes of neurons in the vertebrate CNS. To investigate the contribution of the projection pattern of individual olivocerebellar axons to the cerebellar functional compartmentalization, we labeled individual olivocerebellar axons, which terminate in the cerebellar cortex as climbing fibers, with biotinylated dextran amine injected into the inferior olive in the rat, and completely reconstructed the entire trajectories of 34 olivocerebellar axons from serial sections of the cerebellum and medulla. Single axons had seven climbing fibers on average, which terminated at similar distances from the midline in a single or in multiple lobules. Cortical projection areas of adjacent olivary neurons were clustered as narrow but separate longitudinal segments and often innervated by collaterals of single neurons. Comparison of the cerebellar distribution of olivocerebellar axons arising from different sites within a single olivary subnucleus indicated that slightly distant neurons projected to complementary sets of such segments in a single longitudinal band. Several of these longitudinal bands formed a so-called parasagittal zone innervated by a subnucleus of the inferior olive. Single olivocerebellar axons projected rostrocaudally to segments within a single band but did not project mediolaterally to multiple bands. These results suggest fine substructural organization in the cerebellar compartmentalization that may represent functional units.
High efficiency GaN switching converter IC with bootstrap driver for envelope tracking applications

In this paper, we report a DC/DC converter based on GaN HEMT's with a switching frequency of 200 MHz that can be used to generate envelope-modulated power supply voltages for use in envelope tracking power amplifiers. The converter consists of switching circuits using 0.25-um GaN HEMTs, inductor, and low pass filter, and can provide output voltages above 28V. An integrated bootstrap driver of the switching circuits is employed in order to reduce DC power consumption of the driver stage. Generation of envelope power supply voltages for 20 MHz LTE signals was demonstrated using 200 MHz switching rates with efficiency of 73%(including dissipation in final and driver stages). The chip size is 1075×990 um2.