Miracle-dz/UniFAR-FTUs huggingface dataset:
The case for heterogeneous WLAN environments for converged networks

We demonstrate that in a future converged network scenario, it may be beneficial to allow selection of 802.11 variant based on application requirements. We analyse traces from the campus network from the University of Twente, comprising ~5000 users. We have evaluated a performance envelope derived from testbed experiments for individual IEEE 802.11 variants and compare these with the traffic patterns from the campus network. From our comparison, we find that specific IEEE 802.11 variants (e.g. 802.11g or 802.11n) may be better suited to specific applications, such as video streaming, rather than using a single WLAN standard for all traffic.
24 GHz stacked power amplifier with optimum inter-stage matching using 0.13 μm CMOS process

A single-stage 24 GHz triple stacked power amplifier using 0.13 μm CMOS process is demonstrated. To Compare with parallel current combining method, series voltage combining method using a stacked amplifier architecture can realize a large output voltage swing from the top transistor without exceeding the transistor breakdown voltage limitations. However, at high frequencies, parasitic capacitances at the drain of each transistor become significant and it cause the phase difference between output current and voltage swing which degrades the performance of the power amplifier (PA). To solve this problem, the optimum inter-stage matching technique using inductors is introduced. With proposed optimum inter-stage matching method, the power amplifier performs a gain of 12.2 dB and saturated output power of 17.5 dBm with power added efficiency (PAE) of 20.5%. The 3dB output bandwidth is from 20.7–26.8 GHz.
Influence of uncertainty in dielectric properties on the design performance of a tunable composite right/left handed leaky wave antenna

Uncertainties of the order of 8 % in the accuracy of lithography used to define co-planar waveguides on ferroelectric thin films lead to a similar uncertainty in the value of relative permittivity of the film extracted from measurements. When such films are used as the tunable elements in a tunable composite right/left handed leaky wave antenna, such variations of the capacitance of the varactors can lead to a reduction in radiation and total efficiency around of the order of 1 dB in 5 dB due to the appearance of a bandgap in the frequency response.
An Experimental Study for Assessing Email Classification Attributes Using Feature Selection Methods

Email phishing classification is one of the vital problems in the online security research domain that have attracted several scholars due to its impact on the users payments performed daily online. One aspect to reach a good performance by the detection algorithms in the email phishing problem is to identify the minimal set of features that significantly have an impact on raising the phishing detection rate. This paper investigate three known feature selection methods named Information Gain (IG), Chi-square and Correlation Features Set (CFS) on the email phishing problem to separate high influential features from low influential ones in phishing detection. We measure the degree of influentially by applying four data mining algorithms on a large set of features. We compare the accuracy of these algorithms on the complete features set before feature selection has been applied and after feature selection has been applied. After conducting experiments, the results show 12 common significant features have been chosen among the considered features by the feature selection methods. Further, the average detection accuracy derived by the data mining algorithms on the reduced 12-features set was very slight affected when compared with the one derived from the 47-features set.
Keyword Spotting in Online Handwritten Documents Containing Text and Non-text Using BLSTM Neural Networks

Spotting keywords in handwritten documents without transcription is a valuable method as it allows one to search, index, and classify such documents. In this paper we show that keyword spotting based on bi-directional Long Short-Term Memory (BLSTM) recurrent neural nets can successfully be applied on online handwritten documents with non-text content. It even works without preprocessing steps such as text vs. non-text distinction and text line extraction. We also propose a modification that can improve the precision with little effort.
An algorithm based on autowaves for navigation control of a mobile robot

Two layers reaction-diffusion cellular neural networks (RDCNN) are used for studying the formation of spatial and oscillatory patterns on the plane. In last years, computation based on waves has been used for applications such as synchronicity and navigation with walking mini-robots. Two RDCNN are used for controlling navigation with auto-waves. The first RDCNN emits attractive waves from the objective, meanwhile the second RDCNN emits repulsive waves from the obstacles. In this paper an algorithm driven by activation is proposed, and some simulation results are presented.
A three-stage model for implementing focused written corrective feedback

This article aims to show how the findings from written corrective feedback (WCF) research can be applied in practice. One particular kind of WCF—focused WCF— is brought into the spotlight. The article first summarizes major findings from focused WCF research to reveal the potential advantages of correcting a few preselected language items instead of all errors. It is argued that the majority of the focused WCF research, which has adopted an experimental or quasi-experimental design, has had limited pedagogical implications for second language (L2) writing teachers. Thus, the second section puts forward a three-stage model for operationalizing focused WCF, which includes selecting the focus, teaching the focus, and reinforcing the focus. Pedagogical ideas will be included in each of the stages to give writing teachers a clear idea of how to justify the selection of a language focus and implement WCF in a systematic manner. Cet article a comme objectif de demontrer comment les resultats de recherche portant sur la retroaction corrective ecrite (RCE) peuvent etre appliques a la pratique. La recherche touche plus precisement un type particulier de retroaction corrective ecrite, la RCE ciblee. L’article debute par un resume des resultats majeurs decoulant de la recherche sur la RCE ciblee et ainsi, revele les bienfaits potentiels de corriger quelques items langagiers preselectionnes au lieu de toutes les erreurs. Nous faisons valoir que la majorite de la recherche sur la RCE ciblee, qui a adopte une methodologie experimentale ou quasi-experimentale, a eu des retombees pedagogiques limitees pour les enseignants de l’ecriture en langue seconde. La deuxieme section avance donc un modele a trois etapes visant de rendre fonctionnelle la RCE ciblee et qui implique, entre autres, l’identification, l’enseignement et le renforcement des items cibles. Chaque etape sera accompagnee de concepts pedagogiques de sorte a donner aux enseignants une vision claire pour la selection d’items langagiers et la mise en œuvre systematique de la RCE ciblee.
An investigation of relationships between cognitive factors associated with worry

Worry is a common human experience which, if excessive, can be associated with functional impairment. The experience of worry has been associated with a number of higher-order cognitive processes; however it is unclear how these processes relate to one another. This study was conducted with a non-clinical sample of 123 participants to explore relationships between several psychological factors in reflection of the dimensional nature of worry. Intolerance of uncertainty, the looming cognitive style, beliefs about worry and meta-worry each independently contributed to worry, accounting for 59% of the variance in worry scores when considered together. Intolerance of uncertainty and looming cognitive style were not independent predictors of worry when beliefs about worry and meta-worry were taken into consideration. Indeed, only positive beliefs about worry and meta-worry emerged as independent predictors in the full model that was explored. Of note, meta-worry mediated the relationship between negative beliefs about worry and worry. These results suggest that an integrated model of the mechanisms that underlie worry needs to take a number of cognitive constructs into account and that cognitive therapies targeting worry should have a particular emphasis on perceptions that worrisome thoughts are dangerous, harmful and growing rapidly uncontrollable.
RELEVANT CONTEXT DISCOVERY FOR PERVASIVE SERVICES INVOLVING USER CONTROL

Dynamic context adaptation is a central concept in Pervasive and Ubiquitous Computing. In this paper we have analyzed the problem of context relevance and we have chosen an approach where the user is also involved also in the relevance control. The advantage of involving the user is motivated by the fact that a completely automatic context management cannot deal with unpredicted situations. The proposed solution was implemented on the top of WComp middleware. An easy to use interface let the user the possibility to easily manage its context.
Advanced Polarimetric Concepts - Part 1 (Polarimetric Target Description, Speckle filtering and Decomposition Theorems)

Abstract : There is currently a great deal of interest in the use of polarimetry for radar remote sensing. In this context, different and important objectives are to classify Earth terrain components within a fully polarimetric SAR image and then extract physical information from the observed scattering of microwaves by surface and volume structures. The most important observable measured by such radar systems is the 3x3-coherency matrix. This matrix accounts for local variations in the scattering matrix and is the lowest order operator suitable to extract polarimetric parameters for distributed scatterers in the presence of additive (system) and/or multiplicative (speckle) noise. In the first part of this paper, the most important Target Polarimetry descriptors: Sinclair Matrix, target vectors, coherency matrix and the covariance matrix as well are presented, their interconnections and equivalences will be shown together with the respective transformations. Speckle appearing in synthetic aperture radar (SAR) images is due to the coherent interference of waves reflected from many elementary scatterers and causes degradation and makes automatic image segmentation and scene description difficult. The speckle reduction problem is more complicated for polarimetric SAR than a single polarization SAR, because of the difficulties of preserving polarimetric properties and of dealing with the cross-product terms. The first part of this paper is ended by a presentation and a description of polarimetric speckle filters preserving polarimetric properties and statistical correlation between channels, not introducing crosstalk, and not degrading the image quality. The impact of using this polarimetric speckle filtering on terrain classification is quite dramatic in boosting classification performance.
QUANTUM SPACE-TIME AND REFERENCE FRAMES IN GRAVITY AND FLAT SPACE-TIME

The quantum space-time model which accounts material Reference Frames (RF) quantum effects considered for flat space-time and ADM canonical gravity. As was shown by Aharonov for RF - free material object its c.m. nonrelativistic motion in vacuum described by Schrodinger wave packet evolution which modify space coordinate operator of test particle in this RF and changes its Heisenberg uncertainty relations. In the relativistic case we show that Lorentz transformations between two RFs include the quantum corrections for RFs momentum uncertainty and in general can be formulated as the quantum space-time transformations. As the result for moving RF its Lorentz time boost acquires quantum fluctuations which calculated solving relativistic Heisenberg equations for the quantum clocks models. It permits to calculate RF proper time for the arbitrary RF quantum motion including quantum gravity metrics fluctuations. Space-time structure of canonical Quantum Gravity and its observables evolution for RF proper time discussed in this quantum space-time transformations framework.
The Role of Relativization in Complexity Theory

Several recent nonrelativizing results in the area of interactive proofs have caused many people to review the importance of relativization. In this paper we take a look at how complexity theorists use and misuse oracle results. We pay special attention to the new interactive proof systems and program checking results and try to understand why they do not relativize. We give some new results that may help us to understand these questions better.
Proximity fuzzy clustering and its application to time series clustering and prediction

A new time series prediction architecture is introduced using a fuzzy inference system (FIS) and a new framework for fuzzy relational clustering of time series. The FIS is used to predict future samples in a time series where recurrent neural networks comprise the consequents of the rules. The antecedents come in the form of fuzzy relations; however, previous approaches such as FCM build these antecedents in a Euclidean feature space which is very limiting and not well suited to the problem of clustering time series. Our approach to learning the antecedents of the rules involves clustering time series using proximity values, indicative of closeness. A variant of the classical correlation is used to measure proximity. Our objective is to investigate and evaluate the application of proximity fuzzy clustering in the domain of time series prediction by comparing its performance against several commonly used time series prediction models.
Flexible organic photovoltaics from zinc oxide nanowires grown on transparent and conducting single walled carbon nanotube thin films

The fabrication of flexible organic photovoltaics (OPVs) which utilize transparent and conducting single walled carbon nanotube (SWNT) thin films as current collecting electrodes on plastic substrates in zinc oxide nanowire (ZnO NW)/poly(3-hexylthiophene) (P3HT) bulk heterojunction photovoltaic devices is reported. The bulk heterojunctions for exciton dissociation are created by directly growing ZnO nanowires from solution on the SWNT electrodes and spin coating the P3HT polymer. A maximum OPV power conversion efficiency of ∼0.6% was achieved. Our results indicate that nanotube–nanowire hybrids fabricated via solution based methods are promising for optoelectronic and energy harvesting devices.
Learning Flexible Full Body Kinematics for Humanoid Tool Use

We show that inverse kinematics of different tools can be efficiently learned with a single recurrent neural network. Our model exploits all upper body degrees of freedom of the Honda’s humanoid robot research platform. Both hands are controlled at the same time with parametrized tool geometry. We show that generalization both in space as well as across tools is possible from very few training data. The network even permits extrapolation beyond the training data. For training we use an efficient online scheme for recurrent reservoir networks utilizing supervised back propagation-decor relation (BPDC) output adaptation and an unsupervised intrinsic plasticity (IP) reservoir optimization.
Predicting Course Grades

Recommendation systems have been used in a variety of domains, ranging from online-joke recommendations to automatic educational course recommendations (CourseRank). However, users may want different recommendations for different reasons. In order to help each user select the recommendation that aligns best with his or her goals and values, a recommendation system can present users with estimations of various attributes of a particular recommendation. Using the data from the CourseRank recommendation system, we attempt to construct one potential value-predictor: the estimated grade a student will receive for a given course. Both SVMs and collaborative filtering techniques performed well, but neither could provide significantly better grade predictions than a baseline estimate of the average grade for each student.
The metallographic cooling rate method revised: Application to iron meteorites and mesosiderites

Abstract— A major revision of the current Saikumar and Goldstein (1988) cooling rate computer model for kamacite growth is presented. This revision incorporates a better fit to the α/α + γ phase boundary and to the γ/α + γ phase boundary particularly below the monotectoid temperature of 400 °C. A reevaluation of the latest diffusivities for the Fe‐Ni system as a function of Ni and P content and temperature is made, particularly for kamacite diffusivity below the paramagnetic to ferromagnetic transition.
Preprint High-Throughput Logic Timing Simulation on GPGPUs

This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Many EDA tasks like test set characterization or the precise estimation of power consumption, power droop and temperature development, require a very large number of time-aware gate-level logic simulations. Until now, such characterizations have been feasible only for rather small designs or with reduced precision due to the high computational demands. The new simulation system presented here is able to accelerate such tasks by more than two orders of magnitude and provides for the first time fast and comprehensive timing simulations for industrial-sized designs. Hazards, pulse-filtering, and pin-to-pin delay are supported for the first time in a GPGPU accelerated simulator, and the system can easily be extended to even more realistic delay models and further applications. A sophisticated mapping with efficient memory utilization and access patterns as well as minimal synchro-nizations and control flow divergence is able to use the full potential of GPGPU architectures. To provide such a mapping, we combine for the first time the versatility of event-based timing simulation and multi-dimensional parallelism used in GPU-based gate-level simulators. The result is a throughput-optimized timing simulation algorithm, which runs many simulation instances in parallel and at the same time fully exploits gate-parallelism within the circuit. A preliminary version of this work has been published at the Asian Test Symposium (ATS) 2012. The manuscript at hand has a more general focus and contains significantly more material as detailed in the supporting documents. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies show this notice on the first page or initial screen of a display along with the full citation. Copyrights for components of this …
Black holes: from stars to galaxies

Abstract While until recently they were often considered as exotic objects of dubious existence, in the last decades there have been overwhelming observational evidences for the presence of stellar mass black holes in binary systems, supermassive black holes at the centers of galaxies, and possibly, intermediate-mass black holes observed as ultraluminous X-ray sources in nearby galaxies. Black holes are now widely accepted as real physical entities that play an important role in several areas of modern astrophysics. Here I review the concluding remarks of the IAU Symposium No 238 on Black Holes, with particular emphasis on the topical questions in this area of research.
Analiysis of self-similarity in recommender systems

The objective of recommender systems is to estimate the unknown ratings. This paper presents an efficient method to generate the self-similarity rating matrix for recommender systems. We show that the rating behavior of users is statistically self-similar that none of the commonly used recommender system models is able to detect this fractal behavior. This behavior can be used to predict the unknown ratings. The experimental results showed that the proposed method obtains similar accuracy in comparison to the traditional recommender system method with much less computational cost.
Chlamydia pneumoniae Clinical Isolate from Gingival Crevicular Fluid: A Potential Atherogenic Strain

Chlamydia pneumoniae has been associated to atherosclerotic cardiovascular diseases. The aim of our study was to characterize, for the first time, a C. pneumoniae strain isolated from the gingival crevicular fluid of a patient with chronic periodontitis, described as a risk factor for cardiovascular diseases. C. pneumoniae isolate was characterized and compared to the respiratory AR-39 strain by VD4-ompA genotyping and by investigating the intracellular growth in epithelial and macrophage cell lines and its ability to induce macrophage-derived foam cells. Inflammatory cytokine levels were determined in the gingival crevicular fluid sample. C. pneumoniae isolate showed a 99% similarity with the AR-39 strain in the VD4-ompA gene sequence and shared a comparable growth kinetic in epithelial cells and macrophages, as evidenced by the infectious progeny and by the number of chlamydial genomic copies. C. pneumoniae isolate significantly increased the number of foam cells as compared to uninfected and LDL-treated macrophages (45 vs. 6%, P = 0.0065) and to the AR-39 strain (45 vs. 30%, P = 0.0065). Significantly increased levels of interleukin 1-β (2.1 ± 0.3 pg/μL) and interleukin 6 (0.6 ± 0.08 pg/μL) were found. Our results suggest that C. pneumoniae may harbor inside oral cavity and potentially be atherogenic, even though further studies will be needed to clarify the involvement of C. pneumoniae in chronic periodontitis as a risk factor for cardiovascular diseases.
The Experienced Self and Other Scale: A technique for assaying the experience of one's self in relation to the other.

The construct "self" appears in diverse forms in theories about what it is to be a person. As the sense of "self" is typically assessed through personal reports, differences in its description undoubtedly reflect significant differences in peoples' apperception of self. This report describes the development, reliability, and factorial structure of the Experience of Sense of Self (E-SOS), an inventory designed to assess one's perception of self in relation to the person's perception of various potential "others. " It does so using Venn diagrams to depict and quantify the experienced overlap between the self and "others. " Participant responses to the instrument were studied through Exploratory Factor Analysis. This yielded a five-factor solution: 1) Experience of Positive Sensation; 2) Experience of Challenges; 3) Experience of Temptations; 4) Experience of Higher Power; and 5) Experience of Family. The items comprising each of these were found to produce reliable subscales. Further research with the E-SOS and suggestions for its use are offered.