Miracle-dz/UniFAR-FTUs huggingface dataset:
Collision between Chaotic and Periodic Attractors in a Ring of Coupled Chaotic Circuits

In this study, we investigate synchronization phe- nomena observed in coupled chaotic circuits as a ring topology when two types of the bifurcation parameters to generate chaotic and three-periodic attractors are arranged. By using computer simulations and circuit experiments, we observe a collision between chaotic and periodic attractors depending on the number of chaotic attractors and the location of chaotic attractors in the system. I. INTRODUCTION Synchronization and the related bifurcation of chaotic sys- tems are good models to describe various higher-dimensional nonlinear phenomena in the field of natural science. In par- ticular, the breakdown of chaos synchronization has attracted many researchers' attentions and their mechanisms have been gradually made clear (1)-(8). However, a lot of phenomena around chaos synchronization are still veiled as well as other nonlinear circuits problems. Hence, in order to understand and exploit such phenomena, it is important to discover them, to model them, and to investigate them. On the other hand, it is important to investigate synchroniza- tion phenomena of coupled circuits under a difficult situation for the circuits. For examples, there are some frustrations in the circuit systems such as the coupling structure, frequency errors and external stimuli. Setou et al. have observed interesting synchronization phenomena when van der Pol oscillators with different oscillation frequencies are coupled by a resistor as a star topology (9). We have investigated a ring consisting of van der Pol oscillators with different oscillation frequencies. By using computer simulations, oscillation death, independent os- cillation and double-mode oscillation were observed (10)(11). We consider that if coupled circuits with more different char- acteristics are coupled, the coupled circuits feel the frustrations more strongly. In this study, we investigate synchronization phenomena observed in coupled chaotic circuits as a ring topology when the chaotic circuits generating chaotic and three-periodic at- tractors are arranged in the circuit system. By using computer simulations and circuit experiments, we observe a collision be- tween chaotic and periodic attractors when the ratio of chaotic attractor is larger than the periodic attractor. After the collision, the periodic attractor arranged in the next to the chaotic attractor produce the bursting part such as intermittency-like chaos. And, chaos degree of the chaotic attractor becomes weak by the effects of the adjacent periodic attractor. II. CIRCUIT MODEL In this study, we consider a ring of the chaotic circuits as shown in Fig. 1. In the circuit system, two adjacent chaotic circuits are coupled by a resistor R via an inductor of each chaotic circuit. By using this coupling method, two adjacent circuits tend to synchronize with anti-phase state.
Dynamic Epicardial Mapping Using 3D Emulation

Dynamic epicardial mapping is an important tool in cardiac electrophysiology. This article brings forward a method for 3D dynamic modeling used in epicardial mapping system. Firstly, 3DMAX was used to create a 3D heart model and an . ase file was stored. Secondly, OpenGL was applied to display this model in user's window interface. When electrodes and amplifiers sampled new data, the electrode which had the minimum euler distance to each vertex of 3D model was calculated, thus an interpolate triangle was formed by combining another two adjacent electrodes. The voltage value of each vertex was obtained by using a new linear interpolation based on grads calculation. This method was proved to be feasible in animal experiments. Electrical activity could be investigated directly in a cardiac cycle through this 3D model. This model can also reflect the conduction process of depolarization in complex arrhythmia such as atrial fibrillation. This method is appropriate for any real-time 3D dynamic field modeling, which has an array of regular measure points.
Elliptic Curve Based Proxy Re-Encryption

Proxy re-encryption is a scheme where a semi-trusted proxy alters the confidential message of one party into a confidential message of another party without knowing the original plaintext. To do the same, various approaches are suggested in the public key set up cryptography. In this paper, we propose two new methods named CTR1-PRE and CTR2-PRE for proxy re-encryption on public key setting which are based on elliptic curve. Since elliptic curve cryptosystem is becoming a new famous methodology due to its lot of nice features, it is required to construct a proxy re-encryption scheme which works on elliptic curve as well. So, in this work we have shown two such proxy re-encryption methods and we have also shown that one of our approach holds all the essential properties of proxy re-encryption method such as unidirectional, non-interactive, proxy invisibility, original access to ciphertext, key optimal for storage, collusion safe from intruders, etc.
x-Avalanche : Optimisation Techniques for Large Scale Federated SPARQL Query Processing

Attributes like ease of linking and integration, flexibility and standardisation are making the RDF data model more popular. As a consequence, more RDF data gets published across different domains. This distributed publication of RDF data ethos embodies the spirit of the Web of Data. While centralised RDF storage has gotten more scalable in order to keep up with the increase of published data, the problem of querying large federations of RDF datasets has not received as much attention. In this paper we extend our existing AVALANCHE federation engine to address some of the most pertinent issues with federated RDF query processing. First, we add support for disjunctions by employing a distributed union operator capable of scaling to hundreds or thousands of endpoints. Second, we enhance the distributed state management with remote caches aimed to reduce the high latency typical of SPARQL endpoints. Finally, we introduce a novel and parallel-friendly optimisation paradigm designed not only to offer an optimal tradeoff between total query execution time and fast first results, but to also consider an extended planning space unexplored so far. Our results show that combined, these capabilities improve our system’s performance by up to 70 times over the best performing SPARQL federation engine and find an optimal performance tradeoff between delivering first results and total query execution time under external constraints.
Deliverable 3 . 2 Interaction Models and Mixed Reality Interfaces for Inhabited Television

This Document presents the findings to date for task 3.3 from work package 3 of eRENA (ESPRIT project 25379). It continues from deliverable 3.1 on a new area of research, i.e. Inhabited Television. We begin with summarising the evolution of digital broadcast as well as justifying mixed reality’s suitability to Inhabited TV, finally describing the current implementation – eTV. Specifically, this deliverable report covers task 3.3 and the production of a mixed reality interface (i.e. eTV) onto Inhabited TV that combines a real world component i.e. video, and a virtual environment with TV. We would though, suggest that the reader is familiar with deliverable 3.1 [77] before reading this deliverable and views the accompanying video associated with it. Document eRENA-D3.2 Type Deliverable report with video material on eRENA tape Status Final Version 1.0 Date 29 May 1998 Author(s) Task Jason Morphett, 3.2 eRENA-D3.2 Mixed Reality Interfaces for Inhabited TV May 1998 2 Esprit Project 25379 Table of
Gradient-domain image decomposition for image recovery

This paper aims to introduce a convex prior based on gradient-domain image decomposition (GID) for image recovery. As a useful class of convex priors, total variation (TV) and its variants have been widely investigated. Among them, total generalized variation (TGV) is paid much attention recently, because it provides rich visual quality around edges and gradation regions in recovered images. This paper gives a general perspective: the TGV can be regarded as a GID and thus can be extended to more general formulation. Specifically, by introducing some priors promoting desired properties on gradient components which cannot be treated efficiently by the TGV, the restored image would attain better visual quality. As a practical instance, we incorporate block nuclear norm (BNN), which can characterize local low rankness, into the GID framework to keep the visual quality of well-patterned textures. Consequently, the GID provides better subjective visual quality and less reconstruction error in missing pixel recovery, than the TGV-based and the TV/BNN-based regularization methods.
Sliding mode dirichlet boundary stabilization of uncertain parabolic PDE systems with spatially varying coefficients

We consider the robust boundary stabilization problem of an unstable parabolic partial differential equation (PDE) system with uncertainties entering from both the spatially-dependent parameters and from the boundary conditions. The parabolic PDE is transformed through the Volterra integral into a damped heat equation with uncertainties, which contains the matched part (the boundary disturbance) and the mismatched part (the parameter variations). In this new coordinates, an infinite-dimensional sliding manifold that ensures system stability is constructed. For the sliding mode boundary control law to satisfy the reaching condition, an adaptive switching gain is used to cope with the above uncertainties, whose bound is unknown.
Is overfeat useful for image-based surface defect classification tasks?

One of the challenges for real-world image-based surface defect classification task is the lack of labeled training samples to extract useful features to confidently classify defects. In this paper, we present results on our investigation on whether features derived from OverFeat, a variant of Convolution Neural Network, can be used directly for image-based surface defect classification task. We show that the classification performance of two real-world defect images datasets can be significantly different. For the harder classification task, OverFeat features are useful for some types of surface defects, but performs poorly when the defects demonstrate characteristics beyond texture patterns. We propose a simple heuristic approach called Approximate Surface Roughness (ASR) that provides auxiliary information on the relationship between spatial regions in the defect image to be used together with the OverFeat features. Empirical results show improvement in classification performance for those defect types that do not classify well using only OverFeat features.
Genetic Associations in the Vitamin D Receptor and Colorectal Cancer in African Americans and Caucasians

Low vitamin D levels are associated with an increased incidence of colorectal cancer (CRC) and higher mortality from the disease. In the US, African Americans (AAs) have the highest CRC incidence and mortality and the lowest levels of vitamin D. Single nucleotide polymorphisms (SNPs) in the vitamin D receptor (VDR) gene have been previously associated with CRC, but few studies have included AAs. We studied 795 AA CRC cases and 985 AA controls from Chicago and North Carolina as well as 1324 Caucasian cases and 990 Caucasian controls from Chicago and Spain. We genotyped 54 tagSNPs in VDR (46586959 to 46521297 Mb) and tested for association adjusting for West African ancestry, age, gender, and multiple testing. Untyped markers were imputed using MACH1.0. We analyzed associations by gender and anatomic location in the whole study group as well as by vitamin D intake in the North Carolina AA group. In the joint analysis, none of the SNPs tested was significantly associated with CRC. For four previously tested restriction fragment length polymorphisms, only one (referred to as ApaI), tagged by the SNP rs79628898, had a nominally significant p-value in AAs; none of these polymorphisms were associated with CRC in Caucasians. In the North Carolina AAs, for whom we had vitamin D intake data, we found a significant association between an intronic SNP rs11574041 and vitamin D intake, which is evidence for a VDR gene-environment interaction in AAs. In summary, using a systematic tagSNP approach, we have not found evidence for significant associations between VDR and CRC in AAs or Caucasians.
A vehicle detection system based on Haar and Triangle features

In recent years, the Viola and Jones rapid object detection approach became very popular. One aspect why this approach achieved acceptance is the numerical efficient computation of the Haar-like features on basis of the integral image. This efficiency is essential for sliding window techniques, where features have to be extracted for huge amounts of data. The main contribution of this paper is an efficient method to compute Triangle filters for feature extraction based on four integral images. The 2D Triangle filters are derived from 1D Bartlett functions. A comparison of Haar-like filters and the new Triangle filters is given by means of empirical results. The receiver operator characteristics reveal the superiority of the Triangle filters. Furthermore a vehicle detection system is described where the Triangle features are integrated. The system is based on a cascade of boosted classifiers, Haar and Triangle features, an adaptive sliding window and finally a Kalman filter.
Unsupervised Image Segmentation Based on Fuzzy Connectedness with Sale Space Theory

In this paper, we propose an approach of unsupervised segmentation with fuzzy connectedness. Valid seeds are first specified by an unsupervised method based on scale space theory. A region is then extracted for each seed with a relative object extraction method of fuzzy connectedness. Afterwards, regions are merged according to the values between them of an introduced measure. Some theorems and propositions are also provided to show the reasonableness of the measure for doing mergence. Experiment results on a synthetic image, a color image and a large amount of MR images of our method are reported. Keywords—Image segmentation, unsupervised image segmentation, fuzzy connectedness, scale space.
El-E: An Assistive Robot that Fetches Objects from Flat Surfaces

Objects within human environments are usually found on flat surfaces that are orthogonal to gravity, such as floors, tables, and shelves. We first present a new assistive robot that is explicitly designed to take advantage of this common structure in order to retrieve unmodeled, everyday objects for people with motor impairments. This compact, statically stable mobile manipulator has a novel kinematic and sensory configuration that facilitates autonomy and humanrobot interaction within indoor human environments. Second, we present a behavior system that enables this robot to fetch objects selected with a laser pointer from the floor and tables. The robot can approach an object selected with the laser pointer interface, detect if the object is on an elevated surface, raise or lower its arm and sensors to this surface, and visually and tacitly grasp the object. Once the object is acquired, the robot can place the object on a laser designated surface above the floor, follow the laser pointer on the floor, or deliver the object to a seated person selected with the laser pointer. Within this paper we present initial results for object acquisition and delivery to a seated, ablebodied individual. For this test, the robot succeeded in 6 out of 7 trials (86%).
Ascribing Intensional Ontologies in Anthropologically-Based Cultural Descriptions of Multi-Agent Systems

We have been dealing with what we have called migration of agents. The basic idea is that some agents should be able to interact in societies of agents whose designs axe based on different paradigms or theories of agents, or which have different histories of autonomous evolution. Providing agents that can learn to interact with unfamiliar communities not only allows interoperation of disparate Multi-Agent Systems (MAS) without the need of standardisation on models and laxiguages of agents but also brings to light several issues of interest in the disciplines that form the foundations of MAS.
Cystic Fibrosis Transmembrane Conductance Regulator

The cystic fibrosis transmembrane conductance regulator (CFTR) Cl channel exhibits lyotropic anion selectivity. Anions that are more readily dehydrated than Cl exhibit permeability ratios (P S/P Cl) greater than unity and also bind more tightly in the channel. We compared the selectivity of CFTR to that of a synthetic anion-selective membrane [poly(vinyl chloride)–tridodecylmethylammonium chloride; PVC-TDMAC] for which the nature of the physical process that governs the anion-selective response is more readily apparent. The permeability and binding selectivity patterns of CFTR differed only by a multiplicative constant from that of the PVC-TDMAC membrane; and a continuum electrostatic model suggested that both patterns could be understood in terms of the differences in the relative stabilization of anions by water and the polarizable interior of the channel or synthetic membrane. The calculated energies of anion–channel interaction, derived from measurements of either permeability or binding, varied as a linear function of inverse ionic radius (1/r), as expected from a Born-type model of ion charging in a medium characterized by an effective dielectric constant of 19. The model predicts that large anions, like SCN, although they experience weaker interactions (relative to Cl) with water and also with the channel, are more permeant than Cl because anion–water energy is a steeper function of 1/r than is the anion–channel energy. These large anions also bind more tightly for the same reason: the reduced energy of hydration allows the net transfer energy (the well depth) to be more negative. This simple selectivity mechanism that governs permeability and binding acts to optimize the function of CFTR as a Cl filter. Anions that are smaller (more difficult to dehydrate) than Cl are energetically retarded from entering the channel, while the larger (more readily dehydrated) anions are retarded in their passage by “sticking” within the channel.
The BBN TransTalk Speech-to-Speech Translation System

Portable translation devices which enable people who speak different languages to communicate with each another in voice are likely to have a far-reaching impact in both the civilian and military worlds. While long a staple of science fiction, a la the "Star Trek universal translator", devices that actually translate between languages have not been fully realized. In the last decade, however, under the sponsorship of the Babylon and TRANSTAC (Translation for Tactical use) programs of the US Defense Advance Research Program Agency (DARPA), several research sites, including BBN (Stallard et al., 2007), CMU (Waibel et al., 2003), IBM (Gao et al., 2006), SRI (Akbacak et al., 2009) and USC (Belvin et al. 2005), have made significant progress in developing a real two-way speech-to-speech (S2S) translation systems. These systems are not “universal translators” in the sciencefiction sense, in that must be configured for the language and conversational domain of interest, rather than spontaneously understanding them. However, the technology is language-independent, and under the auspices of the TRANSTAC program, systems have been configured for several different foreign languages of interest to the US Government, including Iraqi Arabic, Malay, Farsi, Dari, and Pashto. Though the technology is also domain-independent, most of these systems support conversations in the so-called "force protection" military domain, which is broadly construed to include not only conversations relevant to checkpoints, searches, and other military operations, but also rapport building, civil affairs, and basic medical conversations. In this article, we describe BBN’s S2S system, TransTalk, which runs not only on laptops and ultra-mobile PCs, but also on mobile Android Smartphones, running locally on the device itself and not a server. In common with other TRANTSTAC systems, TransTalk’s technology is language-independent, and has been configured to translate between English and numerous other languages, including Iraqi Arabic, Dari, Pashto, Farsi, and Malay. TransTalk also has a uniquely simple user interface which does not require the user to view a screen. TransTalk integrates automatic speech recognition (ASR), machine translation (MT), and text-to-speech (TTS) synthesis engines for converting speech in one language into a different language. In particular, TransTalk uses the BBN Byblos ASR engine for converting speech to text. BBN Byblos is a multi-pass, speaker-independent large
Comparison of Voting Methods Using Complexity Functions and the Weak Theta Asymptotic Notation

Computational social choice represents a new research area that brings together social choice theory and computer science. One of the most important topics in computational social choice is the use of the voting theory as part of the solutions for various problems in computer science. In this paper we propose a formal representation approach for voting methods using complexity functions. Also, using this representation and the Weak Theta asymptotic notation, we propose and prove several theorems related to the comparison of seven popular voting methods. The property of a voting method that we study in this paper is the following: a voting method is considered appropriate for a given voting scheme only if the method computes a single winner for that voting scheme, 'no winner' or 'more than one winner' are not acceptable results.
Capital Intelectual e o Sistema de Controles Gerenciais das Instituições Públicas de Ensino Superior: Um Ensaio Teórico sob a Perspectiva da Teoria da Contingência

O contexto economico evoluiu para a era do conhecimento. Nesse sentido, os recursos relacionados ao capital intelectual ganham destaque como um determinante para lidar com as variaveis contingenciais. O fator que impulsiona o capital intelectual e o capital humano, recurso intensivo em instituicoes publicas de ensino superior, fato que justifica o presente estudo, com o objetivo de discutir a influencia do capital intelectual nos sistemas de controle de gestao de universidades publicas, sob a perspectiva do capital intelectual como fator contingencial. Realizou-se pesquisa bibliografica, a fim de atingir o objetivo proposto. Percebe-se falta de desenvolvimento da literatura relacionada ao tema, um cuidado ainda incipiente, com o capital humano nas instituicoes publicas de ensino superior.
Using power measurements as a basis for workload placement in heterogeneous multi-cloud environments

Distributed data centers for multi-cloud environments usually do not consist of homogeneous hardware as they are not built at the same time by the same owner. Assigning workloads to the most appropriate processing units is therefore a challenging task. In this paper we show how in the context of heterogeneous data centers power consumption can be used as a metric to drive scheduling. We study the performance and energy efficiency of a set of heterogeneous architectures for multiple micro-benchmarks (stressing CPU, memory and disk) and for a real-world cloud application. We observe from our results that some architectures are more energy efficient for disk-intense workloads, whereas others are better for CPU-intense workloads. This study provides the basis for workload characterization and cross-cloud scheduling under constraints of energy efficiency.