Miracle-dz/UniFAR-FTUs huggingface dataset:
Neural Network and Its Applications-a Review

A neural network’s ability to perform computations is based on the hope that we can reproduce some of the flexibility and power of the human brain by artificial means. Network computation is performed by a dense mesh of computing nodes and connections. Artificial neural system computation lies in the middle ground between engineering and artificial intelligence. Neural networks have attracted the attention of researchers from a number of fields. Some of applications mentioned in paper are stock prediction, pattern recognition, data clustering, data compression, image processing, traveling salesman problem etc.
ROTATION INVARIANT COLOR RETRIEVAL

The new technique for image retrieval using the color features extracted from images based on Log Histogram is proposed.The proposed technique is compared with Global co lor histogram and histogram of corners . It has been observed that number of histogram bins used forretrieval comparison of proposed technique (Log Histogram)is less as compared to Global Color Histogram and Histogram of corners. The experimental results on a database of 792 images with 11 classes indicate that proposed method (Log Histogram) significantly improves Precision/Recall and Complexity of proposed method is less as compared to Global Color Histogram (GCH) and Histogram of Corners (HOC).
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In this deliverable we present the optimization framework adopted for conflict resolution in WP5 of HYBRIDGE. In particular, we present the Monte Carlo Markov Chain (MCMC) framework, which we adopt in our Model Predictive Control approach to conflict resolution in a stochastic setting, and a neurodynamic optimization approach for efficient conflict resolution when the resolution problem is posed as an optimal control problem in a deterministic setting. Department of Engineering, University of Cambridge, Cambridge, CB2 1PZ, UK, Tel. +44 1223 33260, Fax. +44 1223 332662, al394, jmm@eng.cam. ac.uk Department of Mechanical Engineering, National Technical University of Athens, Zografou, Athens, GR-15700, GREECE, {xpapag, kkyria}@mail.ntua. gr Department of Electrical and Computer Engineering, University of Patras, Rio, Patras, GR-26500, GREECE, Tel. +3
D:\winnt\profiles\hoffmann\desktop\sbcci01.fm &rduvh*udlqhgg5hfrqiljxudeoh$ufklwhfwxuhv

In contrast to using FPGA use (fine grain reconfigurable) the area of stresses the use of coarse grain reconfigurable arrays (RAs) with pathwidths greater than 1 bit, because fine-grained architectures are massively less efficient, due to a huge reconfigurability overhead and poor routability [2] [3]. Since computational datapaths have regular structure potential, full custom designs of (rDPUs) are drastically more area-efficient. Coarse-grained architectures provide operator level CFBs, and very areaefficient datapath routing switches. A major benefit is massive reduction of configuration memory and configuration time, and drastic complexity reduction of the P&R (placement and routing) problem. Several architectures will be briefly outlined (for more details see [4]). Some of them introduce $ solutions, where more coarse grain can be achieved by bundling of resources, like 4 ALUs of 4 bits to obtain a 16 bit ALU.
Communications __________________ _ Obstacle a Voidance with Ultrasonic Sensors

A mobile robot system, capable of performing various tasks for the physically disabled, has been developed. To avoid collision with unexpected obstacles, the mobile robot uses ultrasonic range finders for detection and mapping. The obstacle avoidance strategy used for this robot is described. Since this strategy depends heavily on the performance of the ultrasonic range finders, these sensors and the effect of their limitations on the obstacle avoidance algorithm are discussed in detail.
Depressão pós-acidente vascular cerebral como preditor de mau prognóstico: avaliação de sobrevida em longo prazo no Estudo de Mortalidade e Morbidade do Acidente Vascular Cerebral (Estudo EMMA)

1. INTRODUÇÃO . 1 1.1 Panorama do AVC no mundo e no Brasil . 5 1.2 Fatores de risco cerebrovasculares e comorbidades nos pacientes pós-AVC . 9 1.3 Panorama da depressão pósAVC . 10 1.4 Mortalidade associada à depressão pós-AVC . 13 2. OBJETIVO . 17 3. MÉTODOS . 21 3.1 População e desenho do subestudo de depressão pós-AVC na coorte EMMA . 23 3.2 Definição do Acidente Vascular Cerebral . 25 3.3 Definição da Depressão . 26 3.4 Dados adicionais coletados no subestudo de depressão pós-AVC na coorte EMMA . 28 3.5 Ética . 29 3.6 Análise Estatística . 29 4. RESULTADOS . 31 4.1 Casuística . 33 4.2 Depressão Menor pós-AVC . 34 4.3 Transtorno Depressivo Maior pós-AVC . 38 4.3.1 Depressão como um marcador independente de mau prognóstico após o AVC . 40 5. DISCUSSÃO . 45 5.1 Principais achados do subestudo de depressão pós-AVC . 47 5.2 Depressão pós-AVC . 47 5.3 Mortalidade associada à depressão na coorte EMMA . 51 5.4 Forças do estudo . 54 5.5 Limitações do estudo . 55 6. CONCLUSÃO . 59 7. PERSPECTIVAS . 63 8. ANEXOS . 67 ANEXO A . 69 ANEXO B . 71 9. REFERÊNCIAS . 75
Investigating Significant Changes in Users’ Interest on Web Traversal Patterns

In recent times, web usage mining has become a promising solution for discovering interesting patterns from web data. The discovered knowledge is useful for web developers or designers to understand users' navigation behaviour and help in improving website design, performance and e-business strategies. Still, analyzing the dynamic behaviour of users' interest on web traversal patterns from the underlying web usage data is an important task in order to analyze the significant changes in users' access to web pages and time spent on them. In this paper, an investigation on users' access behaviour of web traversal patterns in terms of support and utility is done and discussed. Algorithms have been proposed to discover significant web traversal patterns based on support and utility constraints in Phase-I. And, the proposed algorithms apply transitional pattern mining models to detect significant milestones or time points at which users' interest on the discovered patterns increases or decreases dramatically, in Phase-II. The information obtained from the proposed algorithms helps in understanding users' dynamic preferences of web traversal patterns. Experimental studies are done on a real dataset and the results are discussed.
HD 98800: A Unique Stellar System of Post-T Tauri Stars

HD 98800 is a system of four stars, and it has a large infrared excess that is thought to be due to a dust disk within the system. In this paper we present new astrometric observations made with Hipparcos, as well as photometry from Hubble Space Telescope WFPC2 images. Combining these observations and reanalyzing previous work allow us to estimate the age and masses of the stars in the system. Uncertainty in these ages and masses results from uncertainty in the temperatures of the stars and any reddening they may have. We find that HD 98800 is most probably about 10 Myr old, although it may be as young as 5 Myr or as old as 20 Myr. The stars in HD 98800 appear to have metallicities that are about solar. An age of 10 Myr means that HD 98800 is a member of the post-T Tauri class of objects, and we argue that the stars in HD 98800 can help us understand why post-T Tauris have been so elusive. HD 98800 may have formed in the Centaurus star-forming region, but it is extraordinary in being so young and yet so far from where it was born.
Biometric Research Branch Annual Report 2005

The Biometric Research Branch is the biostatistical and biomathematical component of the DCTD. During 2005 it consisted of 13 permanent doctoral level research investigators supplemented by post-doctoral research fellows and guest researchers. The staff have doctoral degrees and expertise in biostatistics, biomathematics, computational biology and computer science. The philosophy of the BRB is to have the staff combine two functions – (i) collaboration and consultation with DCTD scientific administrators and NCI intramural investigators; (ii) conduct of self initiated research on topics important to cancer research and to the collaborative investigations. Combining these functions has enabled the BRB to recruit and retain a very high quality research staff, to provide the highest quality collaborative and consulting staff to DCTD and NCI scientists, and to accomplish research in the areas of statistical, mathematical, and computational sciences that are motivated and informed by real and important problems of current cancer research. The BRB does not have a grant, cooperative agreement or contract portfolio and does not sponsor or fund extramural research.
SENSOR NETWORK LOCALIZATION ON THE GROUP OF 3D DISPLACEMENTS

We consider the problem of estimating relative configurations of nodes in a sensor network based on noisy measurements. By exploiting the cyclic constraints induced by the sensing topology to the network, we derive a constrained optimization on SEp3q. For the case of a network with a single cyclic constraint, we present a closed-form expression for a solution that satisfies the cycle constraint. We show that in certain cases, namely restriction to pure rotation and pure translation, this solution is independent of the particular representation of the constraint function, and is the unique, constrained minimizer of an appropriate cost function. For sensing topologies represented by a general, weakly connected digraph, we present a solution method which is based on the limits of the solution curves to a continuous time ordinary differential equation. We show that solutions obtained by our method satisfy all semicycle (directed cycle) constraints induced by the sensing topology of the network. Further, we show through numerical simulation that for “Gaussianlike” noise models with small variance, our solution achieves noise reduction comparable to that of the least squares estimator for the analogous linear problem.
Trudinger - Moser inequality on the whole plane with the exact growth condition

Trudinger-Moser inequality is a substitute to the (forbidden) critical Sobolev embedding, namely the case where the scaling corresponds to $L^\infty$. It is well known that the original form of the inequality with the sharp exponent (proved by Moser) fails on the whole plane, but a few modified versions are available. We prove a precised version of the latter, giving necessary and sufficient conditions for the boundedness, as well as for the compactness, in terms of the growth and decay of the nonlinear function. It is tightly related to the ground state of the nonlinear Schrodinger equation (or the nonlinear Klein-Gordon equation), for which the range of the time phase (or the mass constant) as well as the energy is given by the best constant of the inequality.
PREDICTION OF FLOOD FREQUENCIES BY STOCHASTIC-DETERMINISTIC HYDROLOGIC MODEL

A Stochastic-Deterministic hydrologic model was developed for predicting the frequency of surface runoff of various magnitudes resulting from rainfall. Stochastic aspects of precipitation and infiltration capacity were incorporated into the unit hydrograph method in order to make more realistic prediction. The model developed in this study is primarily based on the method of Brater and Sherrill (1975) who incorporated the seasonal average infiltration capacity into the unit hydrograph for predicting frequencies of floods. In order to check the accuracy of the model developed in this study, it was applied to the Red Run River basin in Southeastern Michigan, USA where rainfall runoff records covering 40 years duration were available. Application of the model to this basin showed that the magnitudes of floods were very low in the region where the frequencies were low. This was the result of very high unrealistic infiltration capacities. Thus, surface runoff from the impermeable portion of the basin and low value of groundwater flow produced these low flood magnitudes. Although the flood magnitudes obtained from the model seemed unrealistic for both winter and summer at low frequencies, the predicted flood magnitudes for summer matched accurately with the observed summer flood values for higher values of frequencies. Comparison of the magnitudes and frequencies of floods predicted by the method developed in this study and the method developed by Brater and Sherrill’s (1975) indicated that the model developed in this study predicts the frequencies of floods more accurately than the method of Brater and Sherrill’s (1975) for this example. Since the application of the model and its concepts is simpler than the available commercial hydrological models, it can be used for Turkish basins where rainfall and runoff records are available.
Combinatorial higher dimensional isoperimetry and divergence

In this paper we provide a framework for the study of isoperimetric problems in finitely generated groups, through a combinatorial study of universal covers of compact simplicial complexes. We show that, when estimating filling functions, one can restrict to simplicial spheres of particular shapes, called “round” and “unfolded”, provided that a bounded quasi-geodesic combing exists. We prove that the problem of estimating higher dimensional divergence as well can be restricted to round spheres. Applications of these results include a combinatorial analogy of the Federer–Fleming inequality for finitely generated groups.
Einstein manifolds of non-negative sectional curvature and entropy

We find obstructions to the existence of Einstein metrics of non-negative sectional curvature on a smooth closed simply connected manifold of any dimension. The results are achieved by combining the classical Morse theory of the loop space with a new upper bound for the topological entropy of the geodesic flow in terms of the curvature tensor.
Secret codes: the hidden curriculum of semantic web technologies

There is a long tradition in education of examination of the hidden curriculum, those elements which are implicit or tacit to the formal goals of education. This article draws upon that tradition to open up for investigation the hidden curriculum and assumptions about students and knowledge that are embedded in the coding undertaken to facilitate learning through information technologies, and emerging ‘semantic technologies’ in particular. Drawing upon an empirical study of case-based pedagogy in higher education, we examine the ways in which code becomes an actor in both enabling and constraining knowledge, reasoning, representation and students. The article argues that how this occurs, and to what effect, is largely left unexamined and becomes part of the hidden curriculum of electronically mediated learning that can be more explicitly examined by positioning technologies in general, and code in particular, as actors rather than tools. This points to a significant research agenda in technology enhanced learning.
EXPERIMENTAL STUDIES INTO AUTOMATED DTM GENERATION ON THE DPW770

In this paper the accuracy of automatic DTM computation on the digital photogrammetric workstation DPW770 of Leica-Helava will be discussed. The software component of the photogrammetric System is the Softcopy Exploitation Tool (SOCET SET) by Helava, with module "Terrain". Basis for the investigation was a test data set (image scale 1:13000) of the Institute for Photogrammetrie of Stuttgart University, originally provided for an OEEPE test " Experimental Investigation into Automatic DTM-Generation". The two different possibilities for automatic DTM generation with SOCET SET, the non-adaptive method and the adaptive method, will be explored and compared. Investigated was the accuracy in a stereo model with rough topography and most different land use. In order to be able to determine the accuracy of automatically calculated elevations, a data set consisting of some 2700 check points was made available. The check points are distributed in a symmetric raster with 25 m grid distance and, for a more detailed analysis, are additionally furnished with attributes such as land use, terrain roughness, and texture. In order to be able to make a statement about the optimal scanner resolution, test data sets with resolution of 15 µm, 30 µm and 60 µm were also made available.
Studia Oliveriana Quarta Serie, Vol. I, Anno Mmxiii-mmxv Studia Oliveriana Remixing Classics for the Screen: Woody Allen and the Classical Tradition

Several films by Woody Allen (Interiors, Oedipus Wrecks, Match Point and Mighty Aphrodite) contain elements of classical tradition that have been neglected or oversimplified by film scholarship as references to the director’s personal engagement with psychoanalysis. Using Mighty Aphrodite (1995) as illustration, I argue that these films convey the expression of contemporary social issues through a complex and multi-layered reception of classical culture that goes beyond pure psychoanalysis. In Mighty Aphrodite, specifically, Allen deploys the strict formalism of tragedy and the myth of Oedipus as film mechanisms for contemporary societal discourse. Via evaluation of film and narrative, I demonstrate that Allen’s classical reception is self-reflexive as it refers back to the very processes of performative arts. Furthermore, Allen utilizes the classical tradition as a form of expression in contemporary classical Hollywood narratives and creates a rich cultural experience for his audience; a cinematic treatise on cultural remix, dramatic formalism and classical reception per se.
The Isocam/lw Detector Dark Current Behaviour

We describe the calibration, measurements and data reduction, of the dark current of the ISOCAM/LW detector. We point-out the existence of two significant drifts of the LW dark-current, one throughout the ISO mission, on a timescale of days, another within each single revolution, on a timescale of hours. We also show the existence of a dependence of the dark current on the temperature of the ISOCAM detector. By characterizing all these effects through polynomial fittings, we build a model for the LW calibration dark, that depends on the epoch of observation (parametrized with the revolution number and the time elapsed in that given revolution since the activation) and on the temperature of the ISO-CAM detector. The model parameters are tuned for each of ISOCAM/LW pixel. We show that the modelling is very effective in taking into account the dark-current variations and allows a much cleaner dark subtraction than using a brute average of several calibration dark images. The residuals of the LW model-dark subtraction are, on average, similar to the pre-launch expectation. 2 A. BIVIANO ET AL. Figure 1. An example of the LW dark frame, measured at Tint =2 sec. Note the very evident line pattern.
Design and Development of Location Based Action Support Systems

In recent years, ICT systems which support advanced and complicated social infrastructures have been developed more actively. Especially, along with the popularization of high-speed wireless networks and large-scale data processing technologies, recent ICT systems supporting social infrastructures gather the data sensed by their components, analyze them and feed the results back into the systems. Monitoring social infrastructures comprehensively enables us to support optimizations of system architectures and users’ behavior. According to social demands for more intelligent systems, a variety of ICT-based social systems have been developed. Furthermore, the Japanese government has set the national agendas for the achievement of more energy-efficient, human-oriented services using ICT. Such ICT-based systems generally need to incorporate location information of people, machines and devices to provide context-aware, situation-dependent services for service users. In this thesis, we focus on two typical key ICT-based social infrastructures that are quite essential for green and life innovations. In particular, we propose two location-based activity support systems: (i) a vehicle telematics system to aid battery-charging activities by electric vehicles’ drivers and (ii) an electronic triage system that supports rescue operations of first responders in emergency sites. We discuss fundamental technologies that are required to achieve these systems, and among those technologies we particularly deal with a relative location assessment methodology. Firstly, we describe the telematics system for electric vehicles. In recent years, electric vehicles with less impact on environments due to its energy consumption feature than internal combustion engine vehicles have become popular and got more attractions. However, there are always some concerns that their cruising range is not sufficient enough to travel long distance and that charging
Title: Motion-defined Contour Processing in Early Visual Cortex. Animal Preparation for the Recording Experiments Was Done by Amol Gharat and Curtis Baker, Introduction

21 From our daily experience it is very clear that relative motion cues can contribute to correctly 22 identifying object boundaries and perceiving depth. Motion-defined contours are not only 23 generated by the motion of objects in a scene, but also by the movement of an observer’s head 24 and body (motion parallax). However the neural mechanism involved in detecting these contours 25 is still unknown. To explore this mechanism, we extracellularly recorded visual responses of 26 Area 18 neurons in anesthetized and paralyzed cats. The goal of this study was to determine if 27 motion-defined contours could be detected by neurons that have been previously shown to detect 28 luminance, textureand contrast-defined contours cue-invariantly. Motion-defined contour 29 stimuli were generated by modulating the velocity of high spatial frequency sinusoidal 30 luminance gratings (carrier gratings) by a moving squarewave envelope. The carrier gratings 31 were outside the luminance passband of a neuron, such that presence of the carrier alone within 32 the receptive field did not elicit a response. Most neurons that responded to contrast-defined 33 contours also responded to motion-defined contours. The orientation and direction selectivity of 34 these neurons for motion-defined contours was similar to that of luminance gratings. A given 35 neuron also exhibited similar selectivity for the spatial frequency of the carrier gratings of 36 contrastand motion-defined contours. These results suggest that different second-order contours 37 are detected in a form-cue invariant manner, through a common neural mechanism in Area 18. 38
Locks 28.1 Locks: the Basic Idea

From the introduction to concurrency, we saw one of the fundamental problems in concurrent programming: we would like to execute a series of instructions atomically, but due to the presence of interrupts on a single processor (or multiple threads executing on multiple processors concurrently), we couldn't. In this chapter, we thus attack this problem directly, with the introduction of something referred to as a lock. Programmers annotate source code with locks, putting them around critical sections, and thus ensure that any such critical section executes as if it were a single atomic instruction. As an example, assume our critical section looks like this, the canonical update of a shared variable: balance = balance + 1; Of course, other critical sections are possible, such as adding an element to a linked list or other more complex updates to shared structures, but we'll just keep to this simple example for now. To use a lock, we add some code around the critical section like this: