Miracle-dz/UniFAR-FTUs huggingface dataset:
Network monitoring infrastructure for improving performance of Wi-Max based ad hoc and sensor network.

The performance of the network could be obtained by monitoring events occurred in the network elements and improved by controlling the network element attributes values, has gained attention in the recent. In this work, a new event monitoringscheme is proposed based on Wi-Max network with localized computation and availableresources. In Wireless network, especially Wi-Max network has advantage in mobility,coverage and scalability. This work helps to resolve the fundamental mobilitymanagement problem by monitoring events in Wi-Max based network. The proposed monitoring system is evaluated through networksimulations and proved it reduces the delay and improved data rate.
Requirements for Robust Natural Language Interfaces: The XCALIBUR and LanguageCraft Experiences

Natural Language interfaces to data bases and expert systems require the integration of several crucial capabilities in order to be judged h a b i t a b l e by their end users and p r o d u c t i v e by the developers of applications. User habitability is measured in terms of linguistic coverage, robustness of behavior and speed of response, whereas implementer productivity is measured by the amount of effort required to connect the interface to a new application, to develop its syntactic and semantic grammar, and to test and test and debug the resultant system assuring a certain level of performance• These latter criteria have not been addressed directly by natural language researchers in pure laboratory settings, with the exception of user-defined extensions to an existing interface (e.g., NanoKLAUS [4], v e x [6]). But, in order to amortize the cost of developing practical, robust and efficient interfaces over multiple applications, the implementer productivity requirements are as important as user habitability. We treat each set of criteria in turn, drawing from our experience in XCALIBUR [2] and in LanguageCraft TM [5], a commercially available environment and run time module for rapid development of domain-oriented natural language interfaces, f In our discussion we distill the general lessons accrued from several years of experience using these systems, and conducting several small-scale user studies.
A Priori Efficiency Calculations for Monte Carlo Applications in Neutron Transport (Selected Papers of the Joint International Conference of Supercomputing in Nuclear Applications and Monte Carlo : SNA + MC 2010)

In this paper a general derivation is given of equations describing the variance of an arbitrary detector response in a Monte Carlo simulation and the average number of collisions a particle will suffer until its history ends. The theory is validated for a simple slab system using the two-direction transport model and for a two-group infinite system, which both allow analytical solutions. Numerical results from the analytical solutions are compared with actual Monte Carlo calculations, showing excellent agreement. These analytical solutions demonstrate the possibilities for optimizing the weight window settings with respect to variance. Using the average number of collisions as a measure for the simulation time a cost function inversely proportional to the usual Figure of Merit is defined, which allows optimization with respect to overall efficiency of the Monte Carlo calculation. For practical applications it is outlined how the equations for the variance and average number of collisions can be solved using a suitable existing deterministic neutron transport code with adapted number of energy groups and scattering matrices.
Imprecise Computation as an Enabler for Complex and Time Critical HLA Simulation Networks

A trend over the past years is that simulation systems for training are being connected in simulationnetworks, allowing the interaction of teams spread in distributed sites. By combining interconnected simulation systemsthe simulation complexity increases and may affect time-critical simulation tasks in a negative way. As a consequence,the training simulation objectives may not be met. The same problem may occur when performing, for example, missionrehearsal on site, since available computation resources are usually very limited in this scenario, or for a joint firesscenario, where the large and complex functional chain (including intelligence, C2, forward observer, pilots, etc.) mayoverload existing resources. In this work, the technique of imprecise computation in real-time systems (ICRS) topreserve time-critical simulation tasks is presented. The ICRS technique allows time-critical tasks to produce quickersolutions for approximate results and saves computational resources. This paper discusses the main advantages of theICRS technique by a review of the commonly used optimization concepts built upon imprecise computation field. Thepaper ends with presenting a work-in-progress: an architectural solution for aligning ICRS with the High LevelArchitecture (HLA), standardized as the IEEE 1516-series.
The Philosophy of Universal Grammar

1. The project of a science of language 2. Before there was grammar 3. The content of grammar 4. Deriving the formal ontology of Language 5. Cross-linguistic variation 6. The rationality of case 7. Language and speciation 8. Biolinguistic variation 9. Thought, language, and reality
Detección y descripción de puntos característicos en imágenes multiespectrales utilizando esquemas clásicos

En este trabajo se estudio el comportamiento de algoritmos usados en vision por computador para la deteccion y descripcion de puntos de interes cuando son usados en el caso de imagenes multiespectrales. Para esto se procedio a buscar con criterio las variables de los algoritmos SIFT y SURF que se puedan adaptar para poder obtener una mayor cantidad de puntos de interes y a su vez un mayor numero correspondencia entre imagenes de espectro visible (VS) e imagenes de espectro infrarrojo (IR). A lo largo del documento se podra observar que variables fueron adaptadas para cada algoritmo, teniendo asi, un resultado favorable en la etapa de deteccion de puntos de interes al momento de ser ejecutado, es decir un incremento en la deteccion de puntos para las imagenes de espectro infrarrojo, pero un resultado poco favorable en la etapa de descripcion, ya que las correspondencias de puntos al momento de ser comparadas entre las imagenes VS-IR fueron muy pocas.
Architectural support for compiler-generated data-parallel program

To fully realize the advantages of parallel processing demands the design of efficient communication mechanisms. Existing communication architectures span a spectrum ranging from message passing to remote-memory access, shared memory and cache-only architectures. These communication architectures are often used (and designed to be used) directly by the programmer. However, in the future we can expect more programs to be written in high-level parallel languages and compiled to the specific parallel target; the compiler will hide the details of the underlying hardware from the programmer. The communication architecture should then be designed with the compiler, not the programmer, in mind. The goal of our work is to improve communication performance for programs that are written in a high-level parallel language and then compiled to a specific communication architecture. To make this task manageable, we focus on the class of data-parallel languages and we pick C$\sp*$ as one representative for our experiments. We evaluate three competing communication architectures--message-passing, remote-memory access and cache-coherent shared-memory--for a set of benchmarks written in C$\sp*$ and compiled to the respective architecture. We show that the message-passing model has several inherent advantages for these benchmarks, resulting in less interconnect traffic and less time spent waiting for messages to traverse the interconnect. On the other hand, the message-passing architecture requires the CPU to perform significantly more work per message than the other architectures. This communication overhead destroys much of the message passing model's advantage. We propose a language-oriented communication architecture that retains the advantages of the message-passing model, yet (in cooperation with the compiler) significantly reduces the communication overhead. To do so, we first identify a small set of low-level communication and synchronization primitives that are well matched to the needs of C$\sp*$. We then design a network interface that is tuned to these primitives and describe the C$\sp*$ compilation for this base; our network interface includes hardware for remote read/write requests plus counter-based synchronization support. We simulate and measure our compiled C$\sp*$ benchmarks on a traditional message-passing interface as well as our language-oriented design; our measurements demonstrate that our design is effective at reducing communication-related CPU overhead.
Communication atmosphere in humans and robots interaction based on the concept of fuzzy atmosfield generated by emotional states of humans and robots

Communication atmosphere based on emotional states of humans and robots is modeled by using Fuzzy Atmosfield (FA), where the human emotion is estimated from bimodal communication cues (i.e., speech and gesture) using weighted fusion and fuzzy logic, and the robot emotion is generated by emotional expression synthesis. It makes possible to quantitatively express overall affective expression of individuals, and helps to facilitate smooth communication in humans-robots interaction. Experiments in a household environment are performed by four humans and five eye robots, where emotion recognition of humans based on bimodal cues achieves 84% accuracy in average, improved by about 10% compared to that using only speech. Experimental results from the model of communication atmosphere based on the FA are evaluated by comparing with questionnaire surveys, from which the maximum error of 0.25 and the minimum correlation coefficient of 0.72 for three axes in the FA confirm the validity of the proposal. In ongoing work, an atmosphere representation system is being planned for casual communication between humans and robots, taking into account multiple emotional modalities such as speech, gesture, and music.
Conception et évaluation de techniques d'interaction pour l'exploration de données complexes dans de larges espaces d'affichage

Les donnees d'aujourd'hui deviennent de plus en plus complexes a cause de la forte croissance de leurs volumes ainsi que leur multidimensionnalite. Il devient donc necessaire d'explorer des environnements d'affichage qui aillent au-dela du simple affichage de donnees offert par les moniteurs traditionnels et ce, afin de fournir une plus grande surface d'affichage ainsi que des techniques d'interaction plus performantes pour l'exploration de donnees. Les environnements correspondants a cette description sont les suivants : Les ecrans large ; les environnements multi-ecrans (EME) composes de plusieurs ecrans heterogenes spatialement distribues (moniteurs, smartphones, tablettes, table interactive .) ; les environnements immersifs. Dans ce contexte, l'objectif de ces travaux de these est de concevoir et d'evaluer des solutions d'interaction originales, efficaces et adaptees a chacun des trois environnements cites precedemment. Une premiere contribution de nos travaux consiste en Split-focus : une interface de visualisation et d'interaction qui exploite les facilites offertes par les environnements multi-ecrans dans la visualisation de donnees multidimensionnelles au travers d'une interface overview + multi-detail multi-ecrans. Bien que plusieurs techniques d'interaction offrent plus d'une vue detaillee en simultane, le nombre optimal de vues detaillees n'a pas ete etudie. Dans ce type d'interface, le nombre de vues detaillees influe grandement sur l'interaction : avoir une seule vue detaillee offre un grand espace d'affichage mais ne permet qu'une exploration sequentielle de la vue d'ensemble? ; avoir plusieurs vues detaillees reduit l'espace d'affichage dans chaque vue mais permet une exploration parallele de la vue d'ensemble. Ce travail explore le benefice de diviser la vue detaillee d'une interface overview + detail pour manipuler de larges graphes a travers une etude experimentale utilisant la technique Split-focus. Split-focus est une interface overview + multi-details permettant d'avoir une vue d'ensemble sur un grand ecran et plusieurs vues detaillees (1,2 ou 4) sur une tablette. [. ]
Quantitative Gait Analysis of Healthy Adults Using Foot Print Method and Win Track

Background: Analysis of gait is an integral part of study of human locomotion. It is an important aspect of health diagnostics, management and rehabilitation of numerous disorders. Various instruments have been developed for the analysis of gait parameters in due course of time. But to test its validity and reliability of is prior importance. Thus the purpose of the present study is to compare the foot print method of gait analysis with Win track platform. Objective: To compare the various quantitative gait parameters using footprint method of gait analysis and Win track platform in healthy adults during bare foot walking. Design: Experimental repeated measures, Convenient sampling. Study Setting: Outpatients department, SBRMH, Lovely Professional University, Phagwara, India Participants: Total 30 healthy participants(14 men and 16 women) were recruited for the study. Procedure: All the subjects wereinstructed first to walk along a smooth horizontal 10 m long walkway. Only the middle five steps were calculated to avoid variability in the steps associated with initiation and termination of the gait. The gait velocity, cadence, step lengths and stride length were calculated for the quantitative gait analysis of the gait parameters. After that, the same subjects were instructed to walk on the WIN TRACK Platform. Three trials were taken for both groups and their averages were obtained.
Representing Control in Parallel Applicative Programming

Abstract : This research is an attempt to reason about the control of parallel computation in the world of applicative programming languages. Applicative languages, in which computation is performed through function application and in which functions are treated as first-class objects, have the benefits of elegance expressiveness and having clean semantics. Parallel computation and real-world concurrent activities are much harder to reason about than the sequential counterparts. Many parallel applicative languages have thus hidden most control details with their declarative programming styles, but they are not expressive enough to characterize many real world concurrent activities that can be easily explained with concepts such as message passing pipelining and so on. Ease of programming should not come at the expense of expressiveness. Therefore we design a parallel applicative language Pscheme such that programmers can express explicitly the control of parallel computation while maintaining the clean semantics and the ease of programming of applicative languages. In Pscheme, we propose the concept of ports to model the general control in parallel computation. Through program examples we show how Pscheme and ports support various parallel programming paradigms. We have also built libraries for higher level control facilities with ports so that programming in Pscheme becomes easier. We provide an operational semantics for Pscheme, and develop a compiler and a run time system on NYU's Ultracomputer. Our experiments with parallel programs have shown satisfactory speedup. We claim that ports are the natural parallel extensions of continuations in sequential computation, and thus conclude that representing general control in parallel applicative programming is feasible.
Managing Risks with Data

Assessing exposure to potential risk events and initiating proactive risk mitigation actions is currently a clear priority of businesses, organizations and governments world-wide. Managing risks with data is a growing discipline that involves data acquisition and data merging, risk analytics and risk management decisions support systems. The paper will provide an overview of modern integrated risk management, including examples of how qualitative unstructured data, like text and voice recordings, can be combined with quantitative data like balance sheets and technical performance, to generate integrated risk scores. We suggest that data based risk analysis is an essential competency complementing and reinforcing the more traditional subjective scoring methods used in classical risk management. The examples we will use consist of applications of risk scoring models, Bayesian Networks to map cause and effect, Ontologies to interpret automated text annotation, ETL to merge various data bases and a follow up integrated risk management approach. The main theme of the paper is that risk management can be intuitive, based on qualitative assessments and expert opinions, quantitative in scope, exploit semantic unstructured information or integrated. We aim to show the advantages of integrated data based risk management over the more basic intuitive approach practiced in many organizations.
A Hierarchical Bayes Approach to Estimation and Prediction for Time Series of Counts

In this paper, we are concerned with the statistical methodology of epidemiological surveillance; that is, the ongoing procedure of analyzing and interpreting public health data of infectious disease incidence. In particular, we propose a hierarchical Bayes approach for the estimation of generalized linear mixed models for time series count data, and their use in the prediction of counts for future time periods. The estimators are obtained by Gibbs sampling and their performance is compared to those of other methods on the polio data originally analysed by Zeger (1988), which consist of the monthly number of U.S. polio cases between 1970 and 1983. Their properties are also investigated via simulation. Our aim is to illustrate how easily the hierarchical Bayes methodology lends itself to model checking and model comparisons. The proposed methodology, in particular, hierarchical Bayes prediction, is applied to a series of Campylobacter infection cases in the Montreal-Center region.
An FPGA Based Software/Hardware Codesign for Real Time Video Processing : A Video Interface Software and Contrast Enhancement Hardware Codesign Implementation using Xilinx Virtex II Pro FPGA

Xilinx Virtex II Pro FPGA with integrated PowerPC core offers an opportunity to implementing a software and hardware codesign. The software application executes on the PowerPC processor while the FPGA implementation of hardware cores coprocess with PowerPC to achieve the goals of acceleration. Another benefit of coprocessing with the hardware acceleration core is the release of processor load. This thesis demonstrates such an FPGA based software and hardware codesign by implementing a real time video processing project on Xilinx ML310 development platform which is featured with a Xilinx Virtex II Pro FPGA. The software part in this project performs video and memory interface task which includes image capture from camera, the store of image into on-board memory, and the display of image on a screen. The hardware coprocessing core does a contrast enhancement function on the input image. To ease the software development and make this project flexible for future extension, an Embedded Operating System MontaVista Linux is installed on the ML310 platform. Thus the software video interface application is developed using Linux programming method, for example the use of Video4Linux API. The last but not the least implementation topic is the software and hardware interface, which is the Linux device driver for the hardware core. This thesis report presents all the above topics of Operating System installation, video interface software development, contrast enhancement hardware implementation, and hardware core’s Linux device driver programming. After this, a measurement result is presented to show the performance of hardware acceleration and processor load reduction, by comparing to the results from a software implementation of the same contrast enhancement function. This is followed by a discussion chapter, including the performance analysis, current design’s limitations and proposals for improvements. This report is ended with an outlook from this master thesis.
On the relations between phonological and metaphonological processing: A study using the ABX discrimination task

The phonological and metaphonological levels of speech processing have generally been studied apart. It is fair to acknowledge that, since the beginning of the seventies, through the impetus of Isabelle Liberman and others [cf,, e.g., [1,2]), the acquisition of metaphonological abilities relevant to the learning of literacy have referred to the nature of speech sounds. In the same vein it was proposed more recently to seek problems in reading acquisition in anomalies in the perceptual representation of speech [3,4]. However, the need to link phonological and metaphonological processing is still seen from a strictly sequential point of view. The action of identification mechanisms on a speech signal is assumed to end in a conscious speech percept, which then provides the material for the intentional processes of conscious phonological analysis (see Figure 1).
Design and analysis of a coherent memory sub-system for FPGA-based embedded systems

Cache coherence and memory consistency are of the most decisive and challenging issues in the design of shared-memory multi-core systems that influence both the correctness and performance of parallel programs. In this thesis, we identify and analyze the problem of designing a coherent/consistent memory subsystem in general and then focus on FPGA-based multi-core embedded systems containing general purpose CPUs and dedicated hardware accelerators. We narrow down the range of the problem by targeting only the stream-based applications and developing dedicated application-specific solutions. A flexible Windowed-FIFO communication pattern is proposed to be used by the parallel programs being run on the multi-core system. The software APIs for the FPGA platform are implemented and tested, a customized streaming cache memory is designed, implemented and tested based on the proposed communication pattern and in the end, example embedded systems are developed and tested on the FPGA platform to prove the correct functionality of the APIs, the cache memory and the coherent data communication between the cores. All the tests are done on a Xilinx Spartan3dsp development board and all the hardware and software aspects of the FPGA platform are studied and their influence on the memory system is analyzed. The simulations and analyses show that the developed solution has less complexity and more scalability and portability comparing to existing solutions while it provides a flexible range of functionality that different streaming parallel applications can benefit from.