Miracle-dz/UniFAR-FTUs huggingface dataset:
Modeling and damping controller design for static synchronous compensator

A STATCOM can be used for voltage regulation in a power system, having as an ultimate goal the increase in transmittable power, and improvements of steady-state transmission characteristics and of the overall stability of the system. In this paper a model of a SMIB with STATCOM which is suitable for both steady state analysis and dynamic stability analysis systems is developed. A damping controller is also designed for the STATCOM using root locus methods.
Classification of temporal sequences using rough clustering

This paper presents a comparative study of methods for clustering long-term temporal data. We split a clustering procedure into two processes: similarity computation and grouping. As similarity computation methods, we employed dynamic time warping (DTW) and multiscale matching. As grouping methods, we employed conventional agglomerative hierarchical clustering (AHC) and rough sets-based clustering (RC). Using various combinations of these methods, we performed clustering experiments of the hepatitis data set and evaluated validity of the results. The results suggested that (1) complete-linkage (CL) criterion outperformed average-linkage (AL) criterion in terms of the interpret-ability of a dendrogram and clustering results, (2) combination of DTW and CL-AHC constantly produced interpretable results, (3) combination of DTW and RC would be used to find the core sequences of the clusters, (4) multiscale matching may suffer from the treatment of 'no-match' pairs, however, the problem may be eluded by using RC as a subsequent grouping method.
A Pilot Exploration of Snapchat as an Aphasia-Friendly Social Exchange Technology at an Aphasia Camp

Purpose: The present pilot investigation sought to examine the potential of Snapchat to be used as a social exchange tool and to identify the types of information individuals with aphasia would share through this picture-based, multi-modality application. Methods: Thirteen individuals with aphasia were involved in a two-day trial of Snapchat at an aphasia camp given a group training and ongoing access to volunteer support. Quantitative measures included frequency counts and use of text and/or drawing functions. Qualitative outcomes used open and axial coding methods to characterize communication intent. These were triangulated through multiple coders, multiple rounds of consensus coding, and three coding schemes. Results: Participants successfully used the Snapchat application to generate 174 total posts, all of which used images and some included text, drawing, or multiple modalities. Three coding schemes emerged, which characterized the intent of post exchanges. Conclusions: Snapchat appears to be a feasible tool to foster social exchange among individuals with aphasia, when given guided, incremental learning, and troubleshooting supports. Individuals with aphasia, given no constraints on what to post, demonstrated their communication intent through the images of people and interactions they exchanged. Availability of scaffolded, incremental supports and ongoing troubleshooting for exploring this picture-based, social networking application appears to be important to successful use. Individuals with aphasia can share what matters to them through images, augmented with text, drawings, or other multi-modal inputs.
Reversible watermarking using prediction and Difference Expansion

Reversible data hiding deals with the insertion of auxiliary information into a host data without causing any permanent degradation to the original signal. In this paper a novel reversible data hiding scheme, based on the classical Difference Expansion insertion algorithm, is presented. A prediction stage is adopted in the transform domain and the embedding algorithm is applied to computed prediction errors. To increase the overall embedding capacity, a multi resolution extension has been proposed. Experimental test demonstrate the effectiveness of the proposed approach in achieving high embedding capacity while preserving a high image quality.
A Lightweight Cross-Layer Cooperative Testbed for Evaluation of Connected Vehicles

The system of connected vehicles can be considered as a complicated cyber-physical system, which will be fully provided with the ability of cooperative awareness, adaptive communication and collaborative control in future intelligent transportation systems. It is now imminent to consider how to construct a set of comprehensive evaluation system so that the key technology of connected vehicles can be effectively tested and verified. In this contribution a lightweight testbed framework for connected vehicles was proposed based on the cyber-physical fusion and hardware-in-loop simulation technology. Miniature vehicles were developed as the physical prototype equipped with Arduino microprocessor, ZigBee radio module and other sensing elements. Some typical cooperative scenarios can be evaluated using the miniature vehicles under indoor laboratory environments. Through collaborative information interaction between physical layer and top layer, the synchronized simulation measurement can be realized in a virtual scenario of connected vehicles. Owing to the coordination between physical nodes and simulated ones, the testbed will be possessed of flexibility, scalability and practicability. Some experimental results presented in this contribution indicate the proposed testbed is feasible and reasonable. This research is beneficial to develop more intelligent connected vehicles in the near future.
On the spectrum of high-energy cosmic rays produced by supernova remnants in the presence of strong cosmic-ray streaming instability and wave dissipation

The cosmic-ray streaming instability creates strong magnetohydrodynamic turbulence in the precursor of a SN shock. The level of turbulence determines the maximum energy of cosmic-ray particles accelerated by the diffusive shock accelera- tion mechanism. In this paper we present the continuation of previous work (Ptuskin & Zirakashvili 2003). We assume that Kolmogorov type nonlinear wave interactions together with ion-neutral collisions restrict the amplitude of the random mag- netic field. As a result, the maximum energy of the accelerated particles strongly depends on the age of a SNR. The average spectrum of cosmic rays injected in the interstellar medium in the course of the adiabatic SNR evolution (the Sedov stage) is approximately Q(p)p 2 ∝ p −2 at energies larger than 10−30 GeV/nucleon and with a maximum particle energy that is close to the position of the knee in the cosmic-ray spectrum observed at ∼4 × 10 15 eV. At an earlier stage of SNR evolution - the ejecta-dominated stage described by the Chevalier-Nadyozhin solution, the particles are accelerated to higher energies and have a rather steep power-law distribution. These results suggest that the knee may mark the transition from the ejecta-dominated to the adiabatic evolution of SNR shocks which accelerate cosmic rays.
Emerging Framework for The Evaluation of Open Source Security Tools

The drive from the South African Government towards the adoption of open source software across all platforms, incurred a number of research and development questions. The open source domain provides especially SMME’s with options to implement high quality software that are financially viable. Although software costs is a major factor within providing proper working environments, specific security issues pertaining to open source needs to be addressed. With the opening of networks as well as the availability of information, companies need not only implement security policies, but also constantly upgrade implementations. The study of open source security issues as well as the actual evaluation of tools therefore becomes essential. The purpose of this paper is to study the security issues within the open source environment and looking specifically at the use of security software originating from the open source domain. We provide details and results of surveys conducted around the adoption of security tools within South African companies. The study leads to us proposing a emerging framework for the evaluation of open source security tools.
A Bragg grating based fibre optic reference beam laser Doppler anemometer

An in-line single mode optical fibre reference beam laser Doppler anemometer that utilizes the reflectivity of a Bragg grating as the source of the reference beam has been demonstrated. Tuning the emission wavelength of a laser diode across the bandwidth of a fibre Bragg grating (FBG) provides control of the amount of power in the reference beam, and thus a means for optimizing the signal to noise ratio.
Supporting the Integration and Evolution of Components Through Binary Component Adaptation

Object-oriented components are hard to integrate if developed independently of each other, and difficult to evolve without affecting existing clients, particularly with widely distributed components that have thousands of reusers. We propose binary component adaptation (BCA), a new solution that allows components to be adapted and evolved in binary form and on-the-fly (during program load ing). Binary component adaptation rewrites component binaries before (or while) they are loaded and is significantly more flexible than previous approaches. Also, BCA requires no source code access and guarantees release-to-release compatibility. That is, an adaptation is guaranteed to be compatible with a new binary release of the component as long as the new release itself is compatible with clients compiled using the earlier release. We show how binary component adaptation can solve a number of important integration and evolution problems and discuss how it can be implemented for JVM class files (e.g., Java programs). We believe that binary component adaptation could significantly improve the integration and evolution of software components, especially in a relatively uncoordinated and fast-evolving environment such as the Internet.
Computational aspects of prospect theory with asset pricing applications

We develop an algorithm to compute asset allocations for Kahneman and Tversky’s (Econometrica, 47(2), 263–291, 1979) prospect theory. An application to benchmark data as in Fama and French (Journal of Financial Economics, 47(2), 427–465, 1992) shows that the equity premium puzzle is resolved for parameter values similar to those found in the laboratory experiments of Kahneman and Tversky (Econometrica, 47(2), 263–291, 1979). While previous studies like Benartzi and Thaler (The Quarterly Journal of Economics, 110(1), 73–92, 1995), Barberis, Huang and Santos (The Quarterly Journal of Economics, 116(1), 1–53, 2001), and Grüne and Semmler (Asset prices and loss aversion, Germany, Mimeo Bielefeld University, 2005) focussed on dynamic aspects of asset pricing but only used loss aversion to explain the equity premium puzzle our paper explains the unconditional moments of asset pricing by a static two-period optimization problem. However, we incorporate asymmetric risk aversion. Our approach allows reducing the degree of loss aversion from 2.353 to 2.25, which is the value found by Tversky and Kahneman (Journal of Risk and Uncertainty, 5, 297–323, 1992) while increasing the risk aversion from 1 to 0.894, which is a slightly higher value than the 0.88 found by Tversky and Kahneman (Journal of Risk and Uncertainty, 5, 297–323, 1992). The equivalence of these parameter settings is robust to incorporating the size and the value portfolios of Fama and French (Journal of Finance, 47(2), 427–465, 1992). However, the optimal prospect theory portfolios found on this larger set of assets differ drastically from the optimal mean-variance portfolio.
Relationships Attitudinal Correlates of Girls ' Use of Violence in Teen Dating

This article explores the applicability of the Theory of Planned Behavior in understanding female perpetrated adolescent dating violence. The Theory of Planned Behavior is intended to predict behavioral intention by examining the actor’s perceptions of consequences and rewards associated with the behavior, social acceptability of the behavior, and behavioral control. Previous research on adult populations has found that the planned behavior model is correlated with violent behavior among males (Tolman, Edleson, & Fendrich, 1996), but not females (Kernsmith, 2005). The current study found that the model partially explained the violent behavior of girls, but only perceptions of social norms were significant.
Ambiguity function surface when using prior information in compressive sensing and processing

Compressive sensing followed by direct processing of the measurements with no reconstruction has the potential to enable high resolution measurement acquisition and processing with inexpensive hardware and at low computational cost. Compressive sensing and processing (CSP) is then a suitable option for high resolution delay-Doppler radar. CSP, however, increases ambiguity function surface (AFS) sidelobes compared to Nyquist sensing and processing (NSP) and, therefore, increases uncertainty in the delay-Doppler plane. In order to reduce AFS sidelobes in CSP the prior information on the structure of the signal to be received can be used. In this work, a novel adaptive CSP mechanism is proposed to more efficiently utilize prior information on the signal structure in terms of providing further reduction in ambiguity function sidelobes compared to previously proposed adaptive CSP methods. Simulation results are provided to demonstrate the improvement in the expected mainlobe to maximum sidelobe ratio when using the new proposed adaptive method over another adaptive CSP and the non-adaptive CSP methods.
When More Time to Choose is Not Good

This paper investigates how time availability affects the relationship between Need for Cognitive Closure (NCC) and Choice-Process Satisfaction (CPS). We argue that the “time as resource” concept does not apply when prevention-focused consumers process non-alignable information. In this challenging decision situation, having more time to decide is unfavorable to CPS. A 2x2x2 between-subject experiment was conducted with 1,061 respondents to investigate the effect of NCC on CPS. The eight different scenarios (Table 2 refers) vary in consumer regulatory focus, information alignability, and time availability. The focus is on the role of time availability affecting the relationship between NCC and CPS. Regression analysis was conducted on each of the eight scenarios. The results show that the relationship between NCC and CPS is only significant when prevention-focused consumers process non-alignable information. The findings support the argument that the “time as resource” concept does not always apply. In these situations, NCC positively (negatively) affects CPS when time is limited (abundant). This paper challenges the long-held “time as resource” belief, and argues that having time abundance in challenging decision situations is unfavorable to CPS. Managers, especially retailers, can apply the findings to design decision-making environments such as providing time limits for complex choice decisions. This research is without limitation. The current research was conducted in an experimental environment. Future research should explore the real retail environment. Keywords : Time as Resource, Need for Cognitive Closure, Choice-Process Satisfaction, Decision Situation, Prevention Focus
XMM-NEWTON High resolution spectroscopy of NGC 5548

We analyze a 137 ks exposure X-ray spectrum of the Seyfert 1 galaxy NGC 5548 obtained with the XMM-Newton Reflection Grating Spectrometer. Due to the long exposure time, the spectrum is of higher statistical quality than the previous observations of this AGN. Therefore, we detect for the first time in NGC 5548 inner-shell transitions from O iii to Ovi ions, and the Unresolved Transition Array of M-shell iron. The warm absorber found from this X-ray observation spans three orders of magnitude in ionization parameter. We detect Oiii, which is as lowly ionized as the warm absorber detected in the UV band, to Fexxiv . F or Ovi the column density determined from our X-ray data is an order of magnitude larger than the column density measured in previous UV observations. We conclude that there is substantially more low ionized material than previously deduced from UV observations. However, only a few percent of the warm absorber detected in the X-rays is lowly ionized. A 99.9% significant increase in the derived absorbing column density with higher ionization states is observed. The outflow velocities determined from the X-ray absorption lines are consistent with those deduced from the UV lines, evidence, together with the detection of Ovi, that the X-ray and UV warm absorber are dierent manifestations of the same phenomenon. From a simple mass conservation argument, we indicate that our data set is consistent with an outflow with small opening angle formed due to instabilities in the accretion disk. Possible due to uncertainties in the radiative transport mechanism, an apparent deviant iron to oxygen abundance is detected. No strong relativistically broadened emission lines of O viii ,N vii and Cvi were detected.
Peripheral catecholamine levels and the symptoms of anxiety: studies in patients with and without pheochromocytoma.

&NA; We studied the correlation of plasma and urinary epinephrine (E) and norepinephrine (NE) levels with anxiety symptoms in three patient groups: 1) pheochromocytoma (PH+) (n = 17); 2) hypertensives with elevated catecholamine levels shown not to have a PH (PH‐) (n = 25); and 3) patients with panic disorder (PD) (n = 23). Structured interviews and four self‐rated anxiety scales were used: the SCL‐90R Anxiety and Phobic Anxiety scales, and the Spielberger State/Trait Anxiety Inventories. The SCL‐90R Somatization scale (which measures 12 somatic symptoms) was also utilized. None of the PH+ patients met DSM‐III criteria for PD. Two met criteria for generalized anxiety disorder (GAD). Of the PH‐ patients, two had PD, two had GAD, and three had both. Urinary and plasma E did not show significant positive correlations with any of the four anxiety scales in any of the three patient groups. In both the PH+ and PH‐ groups, E was significantly correlated with the SCL‐90R Somatization scale. NE was not significantly correlated with any of the four anxiety scales in the PH+ group. In contrast, in the PH‐ group, plasma NE was significantly correlated with anxiety on all anxiety scales (r = +0.55 to +0.77, p less than 0.05). Furthermore, in the PH‐ group, plasma NE was significantly correlated with those items of the SCL‐90R Anxiety scale measuring the cognitive rather than the noncognitive symptoms of anxiety. In the PD group as well, plasma NE showed a significant correlation with the SCL‐90R Anxiety Scale (r = +0.67, p less than 0.05). Taken together, our observations suggest that: 1) the effects of catecholamines in the periphery derived from a source independent of nervous system control (such as a PH) are not sufficient to elicit an anxiety disorder meeting DSM‐III criteria; and 2) in patients without an autonomous source of peripheral catecholamines, NE in the periphery results from sympathetic nervous system activation and probably reflects, rather than causes, anxiety.
Overview of UI-CCG Systems for Event Argument Extraction , Entity Discovery and Linking , and Slot Filler Validation

In this paper, we describe the University of Illinois (UI CCG) submission to the 2013 TAC KBP Event Argument Extraction (EAE), English Entity Discovery and Linking (EDL), and Slot Filler Validation (SFV) tasks. We developed three separate systems. Our Event Argument Recognition system infers world knowledge from event argument overlaps to improve performance of a recognition/labeling pipeline. Our Entity Discovery and Linking system builds on the Illinois Wikifier, augmenting its candidate identification capabilities and using a clustering algorithm for cross-document coreference. Our Slot Filler Validation system follows an entailment formulation that evaluates each candidate answer based on the evidence present in the source document it refers to. 1 Illinois Event Argument Extraction System We adopted a two step approach for event extraction, and used a heuristic rule to induce world knowledge to improve performance. For event extraction, we first detected the triggers and then detected the arguments. For world knowledge induction, we computed statistics over ACE 2005 data to identify argument overlaps between event sub-types. 1.1 EAE System Description The UI CCG Event Argument Extraction system uses a two-stage approach. The first stage identifies event trigger words, and the second identifies event argument mentions. 1.1.1 Description of Training Data We used ACE2005 as our training data, as its event taxonomy is similar to that of the Event Argument Extraction task. We trained classifiers to recognize event triggers and event argument mentions; in the following sections, we describe the features we used. To detect the triggers, we train the classifiers based on the trigger features. To detect the arguments, we train the classifiers based on trigger features, mention features, and pair features. 1http://www.itl. nist.gov/iad/mig//tests/ace/ace05/
The Subaru/XMM-Newton Deep Survey (SXDS). V. Optically Faint Variable Object Survey

We present our survey for optically faint variable objects using multiepoch (8-10 epochs over 2-4 years) i′-band imaging data obtained with Subaru Suprime-Cam over 0.918 deg2 in the Subaru/XMM-Newton Deep Field (SXDF). We found 1040 optically variable objects by image subtraction for all the combinations of images at different epochs. This is the first statistical sample of variable objects at depths achieved with 8-10 m class telescopes or the Hubble Space Telescope. The detection limit for variable components is i′vari ∼ 25.5 mag. These variable objects were classified into variable stars, supernovae (SNe), and active galactic nuclei (AGNs), based on the optical morphologies, magnitudes, colors, and optical-mid-infrared colors of the host objects, spatial offsets of variable components from the host objects, and light curves. Detection completeness was examined by simulating light curves for periodic and irregular variability. We detected optical variability for 36% ± 2% (51% ± 3% for a bright sample with i′ < 24.4 mag) of X-ray sources in the field. Number densities of variable objects as functions of time intervals Δ t and variable component magnitudes i′vari are obtained. Number densities of variable stars, SNe, and AGNs are 120, 489, and 579 objects deg−2, respectively. Bimodal distributions of variable stars in the color-magnitude diagrams indicate that the variable star sample consists of bright (V ∼ 22 mag) blue variable stars of the halo population and faint (V ∼ 23.5 mag) red variable stars of the disk population. There are a few candidates of RR Lyrae providing a possible number density of ~10−2 kpc−3 at a distance of >150 kpc from the Galactic center.
Distributed Web Systems Performance Forecasting Using Turning Bands Method

With the increasing development of distributed computer systems (DCSs) in networked industrial and manufacturing applications on the World Wide Web (WWW) platform, including service-oriented architecture and Web of Things QoS-aware systems, it has become important to predict the Web performance. In this paper, we present Web performance prediction in time and in space by making a forecast of a Web resource downloading using the Turning Bands (TB) geostatistical simulation method. Real-life data for the research were obtained in an active experiment conducted by our multi-agent measurement system MWING performing monitoring of a group of Web servers worldwide from agents localized in different geographical localizations in Poland. The results show good quality of Web performance prediction made by means of the TB method, especially in the case when European Web servers were monitored by an MWING agent localized in Gliwice, Poland.