Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards global information networking

An overview is given of how fiber optics technology has emerged from the drawing board into the marketplace over the last, roughly, 25 years, and how the low-cost bandwidth that fiber provides enables bandwidth-intensive applications such as access to multimedia information, customized television programming, and multimedia real-time communications and messaging. A prognosis for future applications in the environment of broadband, personalized communication services is also given. >
Slew-maneuver control for large flexible spacecraft under random noise

Recently, a rigorous mathematical model for large flexible spacecraft, consisting of a rigid main body and a long flexible beamlike structure which is fixed to the body, was developed by S.S. Lim and N.U. Ahmed (1989). Based on this dynamic model for large flexible spacecraft, the authors propose a stabilizing control which can eliminate the vibration induced by slew-maneuvers in the presence of the random noise. In the investigation the problem of the mean square stabilization of the system is considered in the presence of random noise by applying localized feedback controls. Some numerical results are presented for illustration of the impact of random noise on the dynamic behavior of the system and the effectiveness of the suggested controls for the elimination of the vibrations. The results indicate that the feedback controls are robust with respect to the disturbances. <<ETX>>
Sistema Ultracontrol® en la clínica diaria de la hemodiafiltración en línea posdilucional: volumen de infusión alcanzado y aplicabilidad con distintos dializadores

Estudios recientes indican que los beneficios en la supervivencia con hemodiafiltracion en linea posdilucional (HDFOL-post) se logran si el volumen de infusion (Vinf) es superior a 20 l por sesion, cifra que no es facil lograr por los problemas que genera la hemoconcentracion. Hoy dia contamos con tecnicas automaticas que logran un mayor rendimiento minimizando el numero de alarmas como el Ultracontrol® (UltraC). Objetivo: El objetivo ha sido, en una primera parte, evaluar el UltraC para conocer que rendimiento logra (expresado como la fraccion de filtracion [FF] y el Vinf) y los problemas que presenta y, en una segunda parte, estudiar su funcionamiento con cuatro dializadores diferentes. Material y metodos: Primera parte. Nueve pacientes fueron transferidos a HDFOL-post con UltraC. Se recogieron todas las sesiones correspondientes a los tres primeros meses con HDF-OL y al mes previo en HD. Segunda parte. 18 pacientes en tratamiento cronico con HDFOL-post fueron sometidos a dialisis una semana con cada uno de estos dializadores: FX1000, FX800, Polyflux210 y Elisio 210H. Resultados: Primera parte. En tres pacientes surgieron problemas asociados a PTM y Psist inadecuadas que se resolvieron pasando a control-presion. Los valores medios obtenidos fueron: Qb maximo 441 (21) (rango 350-490) ml/min, Vinf 26,3 (3,3) l/sesion, FF 30,6% (2,5), KT 59,9 (5) l/sesion, y aumento del KT del 12% respecto al de HD. Segunda parte. Polyflux210 fue el dializador que preciso menos retiradas de UltraC. Las presiones recogidas tanto PTM como Psist fueron distintas y deter-minaron la necesidad de retirada del sistema. El KT fue adecuado. Conclusiones: a) El sistema UltraC alcanza FF del 30% consiguiendo Vinf adecuados con minimas alarmas, y b) Dializadores con prestaciones depurativas adecuadas pueden no ser utiles para realizar HDF-OL con UltraC porque sus condiciones flujodinamicas generan alarmas que impiden la aplicacion automatizada aunque el rendimento final sea semejante
Forward link capacity for integrated voice/data traffic in CDMA wireless local loops

A high speed data service will be provided by the next generation wireless local loops for Internet access and data file download. Consequently, the impact of high speed data service on the system capacity becomes an important issue for ongoing research and system design of wireless local loops, especially on the forward link due to asymmetrical traffic patterns. Due to their fixed nature, directional antennas can be used on wireless local loop terminals to enhance the forward link performance. This paper investigates the capacity of such a wide band CDMA wireless local loop system for data download applications.
Efficient Crawling the Deep Web

Crawlers are programs that automatically traverse the Web, retrieving pages and building a local repository of the portion of the web that they visit. Current-day crawlers retrieve content only from the publicly indexed web, i.e., the set of web pages reachable purely by following hypertext links, ignoring search forms and pages that require authorization or prior registration. In particular, they ignore the tremendous amount of high quality content ―hidden‖ behind search forms, in large searchable electronic databases. In this project we develop a crawler capable of querying and extracting the data from the hidden web database. This system will allow a user to submit desired query or keywords on a form-based interface and crawler extract required data from the hidden web not the hyperlinks that traditional crawlers does. This system will also update the rank of page after searching it by using weighted rank formula and which is further modified by us by adding no of duplicates to increase the rank of page.
Developing quality e-learning sites: A designer approach

The e-learning interface design should be a core, integrated component of the overall design of on-line units. The interface design should be determined by how people learn and the tasks they need to perform. This should be driven by a pedagogical, not technological, approach which identifies learning outcomes (Guralnick, 2008). In this regard, design layout has an important role in the look and feel of e-learning sites and can affect the way students learn and interact on a particular unit.
Analysis and control of a class of large-scale interconnected nonlinear systems

Decentralized controller design and stability analysis of a class of large-scale interconnected nonlinear systems is presented. Each subsystem in the overall system is nonlinear and so are the interconnections that join the subsystems. For controller synthesis the interconnecting nonlinear functions are known to satisfy a bound which is polynomial in the states. The nonlinear interconnections need not satisfy any symmetry property. We show global exponential stability of the closed-loop interconnected system for the proposed decentralized controller. Robustness of the decentralized controller to a class of interconnections that do not satisfy matching conditions is also shown.
A review of current trend on data management and quality in data communication

Data communication is one of the areas that can be explored by researchers in the current digital world. The aspects of data communication could be divided into several categories such as the acquisition, transmission, processing, storage, etc. This paper reviews some of the previously written papers related to enhancement in data communication technology published between 2007 and 2012 in IEEE Explorer, Science Publications and ACM. However, only 33 of the above papers are considered for this review. In this paper, data communication aspects are divided into three categories namely (a) data processing, (b) data transmission and (c) data monitoring and control. Based on the review, the current data management requires fast and quick processing, transmission and retrieval. This is due the the change of paradigm from centralized to mobile data storage and retrieval and also the volume of data that is always increasing that requires better and fast result for organizations. This paper presents the current trend of data management and quality in data communication. The challenge posed by current data communication advancement through emerging mobile device and application become new research opportunities for researchers to create or to improve current method of data processing and retrieval.
Mobile Web 2.0: The new frontier

Today’s smartphones are mini multimedia computers, they are generally equipped with: 3G and WiFi internet connectivity, a 2 to 5 megapixel camera, Bluetooth for device interconnectivity, USB2 for computer connectivity and media synchronisation. They have digital media storage capacities of 1 to 16 GB, will play back most standard audio, image, and video formats, are GPS enabled, are integrated into online media and social networking sites (Flickr, YouTube, blogs, MySpace, Facebook etc…), and are capable of recording (and some can even edit and display on large screen video devices) video between QVGA and VGA quality. These smartphones are promoted by their manufacturers as lifestyle tools to enable sharing experiences and social networking via web2.0 sites, and mobile friendly media portals (e.g. Ovi, iTunes Store). The ubiquitous connection to web2.0 tools and collaborative communication and user generated content creation capabilities of these devices make them ideal tools for facilitating social constructivist learning environments across multiple learning contexts. However, designing good pedagogical environments to integrate the successful use of these tools is essential. This paper reports on the progress of several qualitative action research trials being conducted to investigate the impact of smartphones and mobile web2.0 on teaching and learning in higher education. These trials illustrate a variety of pedagogical designs and the creation and support of mobile learning environments.
Joint sequential decoding and noncoherent multiuser detection for synchronous signaling over a flat fading channel

This paper considers the problem of joint multiuser detection and decoding of data transmitted over a frequency nonselective Rayleigh fading channel, where the detection is performed without previous knowledge of the channel coefficients. Both detection and decoding are carried out jointly by means of a sequential decoder. We derive a metric matched to the above problem which is based on the well-known Fano (1963) metric and discuss its properties. Using computer simulation, we evaluate the performance of a sequential decoder that uses this metric in conjunction with the stack algorithm. Our simulation results show that the proposed algorithm outperforms a receiver that uses optimum multiuser detection and optimum soft decision decoding as two separate steps, however at the cost of even larger time complexity.
Statistical monitoring of rotating machinery by cumulant spectral analysis

A higher-order statistical (HOS) signature analysis methodology was applied to accelerometer data from a drilling machine collected in a controlled experiment drilling holes through composite circuit panels. Background on the drill wear monitoring problem including approaches using a combination of sensors and signal features are briefly summarized. Experiment results reveal that statistics from the second order cumulant spectrum not constrained to the periodic component support set had increased discrimination power when studying early or incipient drill wear. Detailed classification results show that feature sets composed of second order cumulant components had greater sensitivity than bispectrum and power spectrum features for indicating incipient drill wear. <<ETX>>
Influence of thoracic spine postural disorders on cardiorespiratory parameters in children and adolescents with cystic fibrosis.

OBJECTIVES To assess the impact of increased thoracic kyphosis on pulmonary function and functional capacity in children and adolescents with cystic fibrosis (CF) and to verify the influence of disease severity, age and nutritional status on this deformity. METHOD This was a cross-sectional, analytical study conducted at a university hospital. It included CF patients with confirmed diagnosis and without pulmonary exacerbation. The sample was submitted to postural assessment, spirometry (FEV1, FVC and FEV1/FVC) and 6-minute walk test distance (6-MWT distance). Data were analyzed using the Mann Whitney test, Spearman correlation and logistic regression. RESULTS Forty-two patients were enrolled, 61.9% presented increase of thoracic kyphosis. There was no difference in values of FEV1, FVC, FEV1/FVC and 6-MWT distance between the groups with or without thoracic kyphosis (p = 0.407; p = 0.756; p = 0.415; p = 0.294). In the group without alteration, patients with more disease severity had a mean FEV1 of 74.1±21.9% and FVC of 79.8±18.7% while in those of lesser severity higher values were found (95.6±12.2% and 97.6±13.2%, respectively) (p = 0.027 and p = 0.027). The presence of kyphosis was correlated with age (p = 0.048) but not with severity (p = 0.151) and body mass index (p = 0.088). CONCLUSIONS There was a high prevalence of increased thoracic kyphosis in children and adolescents with CF. The deformity did not affect pulmonary function and functional capacity and there was no relationship with disease severity. Regardless of posture, worsening of disease severity determined worsening of pulmonary function.
Effects of Web 2.0 technology on student learning in science

This investigation addresses how the implementation of Web 2.0 technologies for completion of research projects affects learning in middle school science students. Web 2.0 programs were utilized by students to complete both group and individual research projects. The programs were used for collaboration during data collection and interpretation. Plus students used Web 2.0 programs to present their evidence. The programs appear to have a positive effect on student engagement and research skills; however effects on retention of content knowledge are yet to be determined.
Ambiguity in human communication and the design of computer-mediated-communication systems

Unlike physical or biological systems, human social systems are loosely-coupled in nature. Ambiguity and interpretation play important roles in human communication. Language is a key means of creating and maintaining shared realities through consensual processes. Consequently, an understanding of the interpretational nature of social interactions is required for the design of computer-mediated communication systems. Computer-based systems vary in their abilities to cope with the ambiguities inherent in social interactions; the mediation of 'rich' social interactions with computer technology is often problematic. Some existing computer-mediated communication systems are examined with respect to the issues discussed. <<ETX>>
RESEARCHING OUR TEACHING TO FIND WAYS TO BREATHE LIFE INTO DEAD GRAMMAR

Professors of teacher education examine their teaching, their students’ experiences, and the elementary school curricula in their university’s service area to determine appropriate pedagogy for the teaching of grammar. Combined with a review of the extant literature in the field of grammar instruction, brain research, multiple intelligences, and learning styles, their findings describe a new pedagogy for preparing their undergraduate elementary education students to teach grammar. This pedagogy is transferable to other content areas that have traditionally been taught by lecture and practice exercises only.
Entre système et usage en discours: nouvelles perspectives sur la localisation de l'opposition massif/comptable: le cas des noms de fruits et de légumes

Un sujet crucial concernant l’opposition massif/comptable est l’apparente flexibilite morphosyntaxique reguliere de certaines classes semantiques, comme celle des noms d’animaux (Kleiber 1999, Nicolas 2002 et references incluses), ou celle des noms de fruits et de legumes. C’est cette derniere que nous examinons ici, par le biais d’une vaste etude de corpus comprenant l’analyse quantitative (profils distributionnels) et qualitative (effets de sens) des acceptions massives et comptables de 18 items lexicaux. Nos observations nous amenent a postuler un modele original de la localisation de l’opposition massif/comptable, rendant compte des phenomenes de flexibilite reguliere sans recourir a la notion de polysemie, et base sur un Principe de Double Heritage. Ainsi, nos donnees suggerent que les noms de fruits et de legumes presentent de maniere intrinseque les deux acceptions, et heriteraient leur caractere comptable au niveau lexical (proprietes ontologiques) et leur caractere massif a un niveau supra-lexical, de par leur appartenance a une certaine classe semantico-pragmatique (objets de consommation culinaire).
Reducing cognitive load using adaptive uncertainty visualization

Uncertainty is inherent in many real-world settings; for example, in a combat situation, darkness may prevent a soldier from classifying approaching troops as friendly or hostile. In an environment plagued with uncertainty, decision-support systems, such as sensor-based networks, may make faulty assumptions about field conditions, especially when information is incomplete, or sensor operations are disrupted. Displaying the factors that contribute to uncertainty informs the decision-making process for a human operator, but at the expense of limited cognitive resources, such as attention, memory, and workload. This research applied principles of perceptual cognition to human-computer interface design to introduce uncertainty visualizations in an adaptive approach that improved the operator's decision-making process, without unduly burdening the operator's cognitive load. An adaptive approach to uncertainty visualization considers the cognitive burden of all visualizations, and reduces the visualizations according to relevancy as the user's cognitive load increases. Experiments were performed using 24 volunteer participants using a simulated environment that featured both intrinsic load, and characteristics of uncertainty. The experiments conclusively demonstrated that adaptive uncertainty visualization reduced the cognitive burden on the operator's attention, memory, and workload, resulting in increased accuracy rates, faster response times, and a higher degree of user satisfaction. This research adds to the body of knowledge regarding the use of uncertainty visualization in the context of cognitive load. Existing research has not identified techniques to support uncertainty visualization, without further burdening cognitive load. This research identified principles, such as goal-oriented visualization, and salience, which promote the use of uncertainty visualization for improved decision-making without increasing cognitive load. This research has extensive significance in fields where both uncertainty and cognitive load factors can reduce the effectiveness of decision-makers, such as sensor-based systems used in the military, or in first-responder situations.
DES Sidechannel Collision Attacks On Smartcard Implementations

Until now in cryptography the term collision was mainly associated with the surjective mapping of different inputs to an equal output of a hash function. Previous collision attacks were only able to detect collisions at the output of a particular function. In this thesis a new class of attacks is introduced which uses side channel analysis to detect internal collisions. We applied our attack against the widely used Data Encryption Standard (DES). We show that internal collisions can be caused in the S-Boxes of DES in order to gain information about the secret key-bits. As result, we were able to exploit an internal collision with a minimum of 140 encryptions yielding 10.2 key-bits. Moreover, we successfully applied the attack to a smart card compatible processor. averaged over 10,000 keys
GA Based Optimization of Software Development Effort Estimation

Software effort estimation plays a vital role in the development of software. In recent years, software has become the most expensive component of computer system projects. The major part of cost of software development is due to the human-effort, and most cost estimation methods focus on this aspect and give estimates in terms of person- month. In this paper, a new model is proposed that estimate the effort required for the development of software project using genetic algorithm approach. Software systems are becoming complex and they desire for new, effective and optimized technique with limited resources. A solution to this problem lies in nature where complex species have evolved from simple organisms and constantly become able to adapt to changes in the environment. In case of species, it takes hundreds of generations and years which are not considerable in the field of software engineering. With the use of genetic algorithm, it can be done instantly by simulating the results on various tools of genetic algorithm. I. Introduction Software effort estimation is one of the steps to be carried out in project planning. The effective and efficient development of software requires accurate estimates. The objective behind estimation is not only restricted to accuracy but also to control the cost and scope of the project from organization's point of view. The aim of this paper is to propose a model that should provide optimum results. Software researchers and practitioners are providing many effort estimation techniques for several decades but the problem persist in software engineering field. Early software estimation models are based on regression analysis or mathematical derivations. Today's models are based on simulation, neural network, genetic algorithm, soft computing, fuzzy logic modeling etc. The organization of this paper is as follows. Section II elaborates some literature reviews on software effort estimation model. Section III elucidates the analysis of proposed model. Section IV describes the experimental results. Conclusion and potential future work are discussed in the Section V. II. Related Work This section provides some background information of various software effort estimation models to be used in this paper work.
Speaker Verification in Noise Using a Stochastic Version of the Weighted Viterbi Algorithm

This paper proposes the replacement of the ordinary output probability with its expected value if the addition of noise is modeled as a stochastic process, which in turn is merged with the hidden Markov model (HMM) in the Viterbi algorithm. This new output probability is analytically derived for the generic case of a mixture of Gaussians and can be seen as the definition of a stochastic version of the weighted Viterbi algorithm. Moreover, an analytical expression to estimate the uncertainty in noise canceling is also presented. The method is applied in combination with spec- tral subtraction to improve the robustness to additive noise of a text-dependent speaker verification system. Reductions as high as 30% or 40% in the error rates and improvements of 50% in the stability of the decision thresholds are reported. Index Terms—Hidden Markov model (HMM), noise robustness, speaker verification, Viterbi algorithm.
Analysis of the effects of quantization in multi-layer neural networks using a statistical model

A statistical quantization model is used to analyze the effects of quantization when digital techniques are used to implement a real-valued feedforward multilayer neural network. In this process, the authors introduce a parameter called the effective nonlinearity coefficient, which is important in the study of the quantization effects. They develop, as a function of the quantization parameters, general statistical formulations of the performance degradation of the neural network caused by quantization. <<ETX>>