Miracle-dz/UniFAR-FTUs huggingface dataset:
Non-Markovian dynamics in atom-laser outcoupling from a double-well Bose–Einstein condensate

We investigate the dynamics of a continuous atom laser based on the merging of independently formed atomic condensates. In a first attempt to understand the dynamics of the system, we consider two independent elongated Bose–Einstein condensates which approach each other and focus on intermediate inter-trap distances so that a two-mode model is well justified. In the framework of a mean-field theory, we discuss the quasi-steady-state population of the traps as well as the energy distribution of the outcoupled atoms.
A Spatial Domiain Sigma-Delta Modulator Using Discrete-Time Cellular Neural Networks

In this paper, a novel spatial domain sigma-delta modulator using discrete-time cellular neural networks (DT-CNNs) is proposed. Since the nature of CNN dynamics with the output function which has two saturation regions is to binarize the input image, CNNs have a capabilities as a spatial domain sigma-delta modulator. In the proposed architecture, the A-template is used for a digital to analogue converter (DAC), the C-template works as an integrator, and the nonlinear output function is for the bilevel output. Moreover, the dynamics is designed for obtaining an optimal reconstruction image. The experimental results show a good reconstruction performance and capabilities of CNN as a sigma-delta modulator
A New Clustering Algorithm Based on PSO with the Jumping Mechanism of SA

A new clustering algorithm is proposed based on particle swarm optimization (PSO). The main idea of the new algorithm is to solve clustering problem using the fast search ability of the particle swarm optimization, each particle is composed of a cluster center vector, and represents a possible solution of the clustering problem. To escape from local optimum, a new idea is proposed, that is the neighborhood structure of individual optimum is enriched using the probabilistic jumping property of the simulated annealing (SA). The individual optimum of the particles is disturbed randomly, that is the data pattern clustering label is changed randomly, so the search ability of the global space is enhanced. The experimental results on different datasets show that the new algorithm has better performance than particle swarm optimization and K-means algorithm, has better global convergence, and it is an effective clustering algorithm.
Application of Hybrid RBF Neural Network Ensemble Model Based on Wavelet Support Vector Machine Regression in Rainfall Time Series Forecasting

In this paper, a novel hybrid Radial Basis Function Neural Network (RBF-NN) ensemble model using Wavelet Support Vector Machine Regression (W-SVR) is developed for rainfall forecasting. In the process of ensemble modeling, the first stage the initial data set is divided into different training sets by used Bagging and Boosting technology. In the second stage, these training sets are input to the different individual RBF-NN models, and then various single RBF-NN predictors are produced based on diversity principle. In the third stage, the Partial Least Square (PLS) technology is used to choosing the appropriate number of neural network ensemble members. In the final stage, W-SVR is used for ensemble of the RBF-NN to prediction purpose. For testing purposes, this study compare the new ensemble model's performance with some existing neural network ensemble approaches in terms of monthly rainfall forecasting on Guangxi, China. Experimental results reveal that the predictions using the proposed approach are consistently better than those obtained using the other methods presented in this study in terms of the same measurements. Those results show that the proposed hybrid ensemble technique provides a promising alternative to rainfall prediction.
The Substellar Mass Function in σ Orionis

We combine results from imaging searches for substellar objects in the σ Orionis cluster and follow-up photometric and spectroscopic observations to derive a census of the brown dwarf population in a region of 847 arcmin2. We identify 64 very low mass cluster member candidates in this region. We have available three-color (I, Z, and J) photometry for all of them, spectra for 24 objects, and K photometry for 27% of our sample. These data provide a well-defined sequence in the I versus I-J and I versus I-K color-magnitude diagrams and indicate that the cluster exhibits little reddening despite its young age (~5 Myr). Using state-of-the-art evolutionary models, we derive a mass function from the low-mass stars (0.2 M☉) across the complete brown dwarf domain (0.075 to 0.013 M☉) and into the realm of free-floating planetary-mass objects (≤0.013 M☉). We find that the mass spectrum (dN/dm) ∝ m-α increases toward lower masses, with an exponent α = 0.8 ± 0.4. Our results suggest that planetary-mass isolated objects could be as common as brown dwarfs; both kinds of objects together would be as numerous as stars in the cluster. If the distribution of stellar and substellar masses in σ Orionis is representative of the Galactic disk, older and much lower luminosity free-floating planetary-mass objects with masses down to about 0.005 M☉ should be abundant in the solar vicinity, with a density similar to M-type stars.
Effects of cognitive and motor tasks on the walking speed of individuals with chronic stroke

Abstract Walking speed is a measure of gait performance after a stroke and a predictor of community ambulatory competence. Although gait decrements during a cognitive or motor task after stroke are well-documented, the differential effects of motor and cognitive tasks on the comfortable and maximum walking speeds of individuals with chronic stroke have not been investigated. This study aimed to compare the effects of cognitive and motor tasks on the comfortable and maximum walking speeds of individuals with chronic stroke. This is a cross-sectional study. Thirty community-dwelling chronic stroke individuals were included. Time taken to complete the 10-meter Walk Test under various conditions, including walking alone, walking while completing a cognitive task, and walking while completing a motor task, was recorded, with each condition performed at comfortable as well as maximum walking speeds. Accuracy in performing the cognitive tasks was also assessed. The cognitive and motor tasks caused decrements in both comfortable and maximum walking speeds (P ⩽ 0.001). The cognitive task had a greater influence than the motor task on maximum walking speed (P < 0.01). Individuals with chronic stroke tend to prioritize task accuracy and completion over maintaining walking speed. This phenomenon was more evident during the cognitive task than the motor task and was especially evident at maximum walking speed.
A Localized Algorithm for the Maximum Lifetime Broadcast Problem with Asymmetric Edge Costs

In this paper we present an algorithm for the Maximum Lifetime Broadcast (MLB) problem, i.e. the problem of extending network lifetime when a series of broadcast operations is executed. The algorithm, called DLMCA, is localized (it uses only 2-hop information) and supports asymmetric edge costs, i.e. those scenarios where the cost of sending a message from a node u to node v might be different from the cost of sending a message from v to u. Addressing asymmetry of edge costs is an important issue, as it arises in different scenarios, such as in heterogeneous networks or when overhearing costs are taken into consideration. According to our experiments, DLMCA outperformed alternative solutions to the problem. As far as we know, DLMCA is the first localized algorithm to the MLB problem with asymmetric edge costs.
On-line signature verification based on FIR system characterizing motion pressure

We propose an on-line signature verification method based on finite impulse response(FIR) system characterizing motion pressure of pen-point trajectory in signing process. The discrete cosine transforms(DCTs) of the handwriting feature is used to reduce the fluctuation and extract the feature of handwriting. The signature verification system is realized by four FIR subsystems. Then motion pressure can be characterized by using the FIR subsystem having the DCTs of the area pressure and motion pressure as the input and the output of the FIR system, respectively. The obtained impulse responses of the four FIR subsystems are used as the individual feature for signature verification. Finally, the signature can be verified by evaluating the difference between the impulse responses of the FIR subsystems for a reference signature and the signature to be verified. The signature verification experiments were performed on the SUBCORPUS-100 MCYT [J.Ortega-Garcia et al.2003] signature database consisting of 5,000 signatures from 100 signers. The propose method yielded equal error rate(EER) 4.38 % on skilled forgeries.
Antarctic penguin response to habitat change as Earth's troposphere reaches 2°C above preindustrial levels

We assess the response of pack ice penguins, Emperor (Aptenodytes forsteri) and Adelie (Pygoscelis adeliae), to habitat variability and, then, by modeling habitat alterations, the qualitative changes to their populations, size and distribution, as Earth's average tropospheric temperature reaches 28C above preindustrial levels (ca. 1860), the benchmark set by the European Union in efforts to reduce greenhouse gases. First, we assessed models used in the Intergovernmental Panel on Climate Change Fourth Assessment Report (AR4) on penguin performance duplicating existing conditions in the Southern Ocean. We chose four models appropriate for gauging changes to penguin habitat: GFDL-CM2.1, GFDL-CM2.0, MIROC3.2(hi-res), and MRI-CGCM2.3. 2a. Second, we analyzed the composited model ENSEMBLE to estimate the point of 28C warming (2025-2052) and the projected changes to sea ice coverage (extent, persistence, and concentration), sea ice thickness, wind speeds, precipitation, and air temperatures. Third, we considered studies of ancient colonies and sediment cores and some recent modeling, which indicate the (space/time) large/centennial- scale penguin response to habitat limits of all ice or no ice. Then we considered results of statistical modeling at the temporal interannual-decadal scale in regard to penguin response over a continuum of rather complex, meso- to large-scale habitat conditions, some of which have opposing and others interacting effects. The ENSEMBLE meso/decadal-scale output projects a marked narrowing of penguins' zoogeographic range at the 28C point. Colonies north of 708 S are projected to decrease or disappear: ;50% of Emperor colonies (40% of breeding population) and ;75% of Adelie colonies (70% of breeding population), but limited growth might occur south of 738 S. Net change would result largely from positive responses to increase in polynya persistence at high latitudes, overcome by decreases in pack ice cover at lower latitudes and, particularly for Emperors, ice thickness. Adelie Penguins might colonize new breeding habitat where concentrated pack ice diverges and/or disintegrating ice shelves expose coastline. Limiting increase will be decreased persistence of pack ice north of the Antarctic Circle, as this species requires daylight in its wintering areas. Adelies would be affected negatively by increasing snowfall, predicted to increase in certain areas owing to intrusions of warm, moist marine air due to changes in the Polar Jet Stream.
Overcome by or Overcoming Loss: A Call for the Development of Therapy for Individuals Mourning Vocational Loss in Schizophrenia

People with schizophrenia are often unable to realize vocational expectations because of schizophrenia-related functional impairments. This is particularly acute in those individuals from advantaged sociocultural backgrounds of whom much is expected. We present the case history of an acclaimed woman artist who lost artistic productivity with the advent of severe and persistent psychotic symptoms. We suggest that “loss of vocational potential” is a major loss worthy of grief work. Introduction and rationale are presented, followed by a case presentation that aims to illustrate the psychological effects of intangible loss for individuals suffering from serious mental illness. Three approaches to grief work are reviewed. The notion of incorporating grief work into the treatment of persons with schizophrenia is introduced. The authors call for increased attention to and study of the symbolic and emotional impact of the interpersonal and vocational losses that accompany schizophrenia. A carefully structured grief work intervention needs to be developed that maximizes adaptation and minimizes risk for suicide and that should be coupled with clinical indicators and validated outcome measures.
Kernel-Based Face Hallucination via Dual Regularization Priors

Recently, patch-based face hallucination methods have shown the ability for achieving high-quality face images. The high-resolution (HR) patches can be reconstructed by a linear combination of training patches, while the combination coefficients are learned according to the corresponding low-resolution (LR) patches. In order to reflect the local features, face images are usually divided into very small patches, e.g. 3 × 3 for LR case. Though we assume the linear relationship between training patches, it may fail to obtain suitable combination coefficients due to the low dimension of LR patches. In this letter, the kernel function is utilized for mapping the LR patches into a high-dimensional feature space. By taking into account the nonlinear structures, it is more effective to estimate the combination coefficients in the kernel feature space. Furthermore, a pixel-based model is also employed according to the characteristics of face images, which is useful to compensate the local textures. The final HR face images are obtained from a global optimization function by an iterative process. Experimental results show the advantage of the proposed approach in both reconstruction error and visual quality.
Technical overview on designing wireless remote control steering mechanisms for small ships and scaled model ships

A shippsilas steering mechanism is a complex electro-mechanical or electro-hydraulic system designed to control the process of adjusting the angle of the rudder, in turn changing the direction of the boat or ship. Classic methods of rudder angle adjustment for ships use a wheel, which is typically connected to a mechanical or hydraulic steering mechanism. In some modern ships the wheel is replaced with a simple toggle that remotely controls an electro-mechanical or electro-hydraulic drive for the rudder, with a rudder position indicator presenting angle feedback. This article deals with the problem of developing a wireless remote control steering mechanism for small ships or boats. Such a system has a large number of practical applications in the field of designing small ship autopilots and for model ship testing in model basins.
Performance Evaluations of a Multithreaded Java Microcontroller

We propose handling of external real-time events through multithreading and describe the microarchitecture of our multithreaded Java microcontroller, called Komodo microcontroller. Real-time Java threads are used as interrupt service threads (ISTs) instead of interrupt service routines (ISRs). Our proposed Komodo microcontroller supports multiple ISTs with zerocycle context switching overhead. We evaluate the basic performance and optimize the internal structures of our microcontroller using real-time applications as benchmarks on a software simulator. We determine the correlation between the fetch bandwidth and the instruction window size. Our results show a performance gain of about 1.4 by latency reducing over the single
EXTERIOR POWERS OF SYMMETRIC BILINEAR FORMS

We study exterior powers of classes of symmetric bilinear forms in the WittGrothendieck ring of a field of characteristic not equal to 2, and derive their basic properties. The exterior powers are used to obtain annihilating polynomials for quadratic forms in the Witt ring. 1991 AMS Subject Classification: 11E04, 11E81
Design of K-Band printed array antenna for SATCOM applications

This paper presents the design of 256 (16 times 16) elements planar microstrip array antenna at K-band frequencies using corporate feeding network. The array antenna has been designed and developed for miniaturized satellite communication (SATCOM) ground terminals. The impedance bandwidth achieved for VSWR Lt 2.0 is 540 MHz (~ 2.7%). The achieved mid-band gain of the array antenna is about 29 dBi and E & H-Plane 3-dB beamwidths are 4.5deg each. The measured sidelobes level for the array is better than 12 dB. Overall efficiency of antenna array is about 50%. The array antenna was developed using the MIC photolithography technique on the 30 mil (0.757 mm) RT - Duroid 5880 (epsivr = 2.22) dielectric substrate.
RTnet: a real-time protocol for broadcast-capable networks

This paper presents an overview of a real-time network protocol, meant to be used on fully-connected local area networks with a broadcast capability. The intended use of this protocol is an in-home digital network, with support for on-the-fly addition and removal of network nodes, for resource-lavish and resource-lean devices, and for multimedia, command and control and regular data traffic. Both the design and the operation are presented, together with results from measurements on a prototype of the protocol on top of Ethernet.
Studies in RF Power Communication, SAR, and Temperature Elevation in Wireless Implantable Neural Interfaces

Implantable neural interfaces are designed to provide a high spatial and temporal precision control signal implementing high degree of freedom real-time prosthetic systems. The development of a Radio Frequency (RF) wireless neural interface has the potential to expand the number of applications as well as extend the robustness and longevity compared to wired neural interfaces. However, it is well known that RF signal is absorbed by the body and can result in tissue heating. In this work, numerical studies with analytical validations are performed to provide an assessment of power, heating and specific absorption rate (SAR) associated with the wireless RF transmitting within the human head. The receiving antenna on the neural interface is designed with different geometries and modeled at a range of implanted depths within the brain in order to estimate the maximum receiving power without violating SAR and tissue temperature elevation safety regulations. Based on the size of the designed antenna, sets of frequencies between 1 GHz to 4 GHz have been investigated. As expected the simulations demonstrate that longer receiving antennas (dipole) and lower working frequencies result in greater power availability prior to violating SAR regulations. For a 15 mm dipole antenna operating at 1.24 GHz on the surface of the brain, 730 uW of power could be harvested at the Federal Communications Commission (FCC) SAR violation limit. At approximately 5 cm inside the head, this same antenna would receive 190 uW of power prior to violating SAR regulations. Finally, the 3-D bio-heat simulation results show that for all evaluated antennas and frequency combinations we reach FCC SAR limits well before 1 °C. It is clear that powering neural interfaces via RF is possible, but ultra-low power circuit designs combined with advanced simulation will be required to develop a functional antenna that meets all system requirements.
Analyse macro-sémantique: vers une analyse rhétorique du discours

S’inscrivant dans les domaines du TAL, de la linguistique sur corpus et de l’informatique documentaire, l’étude présentée ici opère plus précisément dans la perspective d’une analyse macrosémantique de la structuration discursive. Plus spécifiquement, nous proposons une analyse sémantique des structures rhétoriques du discours. Après avoir envisagé certaines voies ouvertes en la matière, nous définissons notre approche, et présentons les expérimentations conduites, dans le cadre du projet GeoSem, sur les structures énumératives dans le domaine géographique.
Bringing People and Places Together

This paper describes initial work on the Domisilica project at Georgia Tech. We are exploring the dual augmentation of physical and virtual worlds in Domisilica and applying this novel concept to support home life beyond the boundaries of the actual house. We will demonstrate the concepts of dual augmentation through one particular appliance, CyberFridge, which serves as an inventory management and communications link between physical and virtual worlds.
Experiments on metaheuristics: Methodological overview and open issues

Metaheuristics are a wide class of solution methods that have been successfully applied to many optimization problems. The assessment of these methods is commonly based on experimental analysis but the lack of a methodology in these analyses limits the scientific value of their results. In this paper we formalize different scenarios for the analysis and comparison of metaheuristics by experimentation. For each scenario we give pointers to the existing statistical methodology for carrying out a sound analysis. Finally, we provide a set of open issues and further research directions.
Mobility support in content centric networks

Content-centric networking (CCN) is designed for efficient dissemination of information. Several architectures are proposed for CCN recently, but mobility issues are not considered sufficiently. We classify traffic types of CCN into real-time and non real-time. We examine mobility problems for each type, and suggest the possible hand-off schemes over CCN. Then, we analyze the delay performance in terms of simulation study. We believe that the proposed schemes can be merged as a part of the CCN easily, since they comply with the inherent nature and rules of the CCN.
An Overview of the DeeDS Real-Time Database Architecture ?

The DeeDS architecture is a distributed real-time systems architecture developed for complex real-time systems by the DeeDS project. A major goal is to evaluate the e(cid:11)ectiveness of certain approaches to ensuring predictability and e(cid:14)ciency in a dynamic and complex environment. DeeDS features time-cognizant reactive mechanisms complemented by multi-purpose predictable event monitoring and dynamic deadline scheduling with overload management, as well as support for delayed replication with eventual consistency. These functions are considered orthogonal and only a minimum of functionality included, to be able to control internal complexity. Predictability and e(cid:14)ciency are ensured by allowing all transactions to execute locally without delays due to disk accesses, network communication, or distributed commit processing. Further, a mix of criticality from hard to soft allows hard critical time constraints to be met at the expense of softer constraints, and contingency actions allow handling of transient overloads. To promote predictability, the critical system services, such as the event monitor and the scheduler, may execute on a service processor separate from the application-related functions.