Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive Zooming in Web Cartography

Beyond any doubt much of the current web mapping and web GIS applications lack cartographic quality. Thereasons aren't only the technical limitations related to Internet delivery, but also the neglect of one of the maincartographic principles of digital mapping, namely adaptive zooming. Adaptive zooming describes the adjustmentof a map, its contents and the symbolization to target scale in consequence of a zooming operation. The approachdescribed in this paper proposes the combination of two commonly known concepts: on the one hand levelsof detail (LoD) for those object classes, that require high computational cost for the automated generalizationprocess (e.g. buildings, road network); on the other hand an on‐the‐fly generalization for those object classeswhich can be generalized by less complex methods and algorithms (e.g. rivers, lakes). Realizing such interactiveand dynamic concept for web mapping requires the use of vector based visualization tools. The data format bestmeeting the criteria is the W3C standard Scalable Vector Graphics (SVG). Thus, it has been used to implementthe presented ideas in a prototype application for topographic web mapping based on the landscape modelVECTOR25 of the Swiss Federal Office of Topography.
1.28 Tbit/s single-polarisation serial OOK optical data generation and demultiplexing

A 1.28 Tbaud data signal is demonstrated, which is the highest symbol rate yet reported. The data signal is formed by optical time-division multiplexing of 128 data channels at 10 Gbit/s OOK in a single polarisation. The generated 1.28 Tbit/s data signal is demultiplexed in a nonlinear optical loop mirror, resulting in error-free performance with a BER < 10 -9 for all 128 demultiplexed channels.
Trappy Alpha-Beta with Two-Ply Iterative Deepening

In this paper, an improved trappy alpha-beta (simply) algorithm, namedis proposed.is an extended version ofby introducing the two-ply iterative deepening (TPID). By applying TPID, can search more deeply and therefore find the traps hidden more deep plies in game-tree. The experimental results reflect thatindeed obtains the better chess playing performance than.
Lexical Quality and Reading Skill: Bottom-Up and Top-Down Contributions to Sentence Processing

This research investigated whether spelling ability, an index of precise lexical representations, predicts the balance between bottom-up and top-down processing in online sentence processing among skilled readers, over and above contributions of reading ability, vocabulary, and working memory. The results showed that the combination of superior reading and spelling was associated with more accurate report of rapidly presented sentences and that spelling uniquely predicted reduced reliance on context to identify words. These findings support the lexical quality hypothesis by demonstrating that individual differences in the reading strategies used by skilled readers reflect differences in the precision of their lexical representations.
An Evaluation Survey of Score Normalization in Multibiometric Systems

Multibiometric fusion is an active research area for many years. Score normalization is to transform the scores from different matchers to a common domain. In this paper, we give a survey of classical score normalization techniques and recent advances of this research area. The performance of different normalization functions, such as MinMax, Tanh, Zscore, PL, LTL, RHE and FF are evaluated in XM2VTS Benchmark. We evaluated the performance with four different measures of biometric systems such as EER, AUC, GAR(FAR=0.001) and the threshold of EER. The experimental results show that there is no single normalization technique that would perform the best for all multibiometric recognition systems. PL and FF normalization outperform other methods in many applications.
Highly Reliable Fault Detection and Classification Algorithm for Induction Motors

This paper proposes a 3-stage (preprocessing, feature extraction, and classification) fault detection and classification algorithm for induction motors. In the first stage, a low-pass filter is used to remove noise components in the fault signal. In the second stage, a discrete cosine transform (DCT) and a statistical method are used to extract features of the fault signal. Finally, a back propagation neural network (BPNN) method is applied to classify the fault signal. To evaluate the performance of the proposed algorithm, we used one second long normal/abnormal vibration signals of an induction motor sampled at 8kHz. Experimental results showed that the proposed algorithm achieves about 100% accuracy in fault classification, and it provides 50% improved accuracy when compared to the existing fault detection algorithm using a cross-covariance method. In a real-world data acquisition environment, unnecessary noise components are usually included to the real signal. Thus, we conducted an additional simulation to evaluate how well the proposed algorithm classifies the fault signals in a circumstance where a white Gaussian noise is inserted into the fault signals. The simulation results showed that the proposed algorithm achieves over 98% accuracy in fault classification. Moreover, we developed a testbed system including a TI`s DSP (digital signal processor) to implement and verify the functionality of the proposed algorithm.
Design of experiments as a microwave CAD tool

With the increase in geometrical and physical complexity of microwave circuits, statistical techniques to reduce the design cycles continue to grow in importance.The objective of this article is to review the theory of a statistical design tool called the design of experiments (DOE) and discuss its utility in developing Computer‐aided design models for microwave circuits. A circuit example of DOE application, pertaining to identification of dominant sources of variation in the return loss of a coplanar waveguide flip‐chip interconnect package, is reviewed. An empirical design formula is developed for the return loss based on regression analysis, which demonstrates that interaction between factors cannot be neglected, as is the norm in trialanderror analysis using one factor at a time. © 2010 Wiley Periodicals, Inc. Microwave Opt Technol Lett 52: 1020–1024, 2010; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.25133
Un générateur de boites englobantes parcimonieux pour la détection d'objets dans des vidéos

La capacite a detecter automatiquement des objets dans des flux videos en respectant des contraintes de temps de calcul semble encore aujourd'hui hors d'atteinte. Cependant, beaucoup d'applications necessitent seulement de detecter chaque objet dans au moins une image, et non pas, de detecter chaque objet dans chaque image. En tenant compte de cette specificite, nous proposons un algorithme de proposition de boites englobantes dont l'objectif est de recouvrir au moins une fois chaque objet en ne proposant qu'un tres faible nombre de boites par image. Notre algorithme obtient des resultats interessants sur le jeu de donnees VIRAT aerial tout en respectant largement les contraintes de temps reel.
Understanding frameworks by exploration of exemplars

A framework is designed to cover a family of applications or subsystems in a given domain and is typically delivered as a collection of interdependent abstract classes, together with their concrete subclasses. The abstract classes and their interdependencies describe the architecture of the framework. Developing a new application reusing classes of a framework requires a thorough understanding of the framework architecture. We introduce the notion of an exemplar for documenting framework, and propose exploration of exemplars as a means for architecture understanding. An exemplar is a executable visual model consisting of instances of concrete classes together with explicit representation of their collaborations. For each abstract class in the framework, at least one of its concrete subclasses must be instantiated in the exemplar. Model level exploration of exemplars is unique among the prevalent approaches to framework based development; existing approaches still emphasize different class browsing and retrieval technologies, active cookbooks, or code tracing. <<ETX>>
Implementation of Minimal Control Synthesis on a Servo-Hydraulic Testing Machine

The minimal control synthesis (MCS) algorithm is an adaptive controller that requires no prior knowledge of plant dynamic parameters, and yet is guaranteed to provide global asymptotic stability of the closed-loop system. The algorithm has been implemented on a variety of plant, ranging from laboratory-based rigs to industrial machines. The purpose of this technical note is to present the results of the first known implementation of the algorithm on a servo-hydraulically actuated machine. The results of the MCS implementation will be seen to compare very favourably with those of a conventional (P + I) implementation.
Indemnificatory research on key services of survivable networks

Survivable network refers to the system that can continue to fulfill the basic services set in advance when the system faces some threats, such as external attacks and intrusions, interior errors and confusions and so on, until the system backs to normal. The most significant feature of survivable network lies in that the key services of the system can keep on running when the system is in a desperate environment. Therefore, in a survivable network, how to ensure the nonstop running of the key services becomes very important. As a technology, apart from the basic features of Agent, such as response, autonomy and target-oriented, Mobile Agent also has its own unique feature--mobility. Based on the analysis of the survivability theory and the features of Mobile Agent, this paper proposes MESMMA (A Model for Essential Services Mobility Based on Mobile Agent), a Mobile Agent mobility-based model used to ensure the nonstop running of key services of survivable networks. Besides, this paper deeply discusses the structure design, running process and various Mobile Agent functions of the MESMMA system.
A Survey Of Challenges And Resolutions Of Mining Question-Answer Pairs From Internet Forum

Internet forum is a web community that brings people in different geographical locations together. Members of the forum exchange ideas and expertise and as a result generate huge amount of content on different topics on daily basis. A good percentage of human generated content of Internet forums have been found to be question-answer (QA) pairs. These QA pairs are useful for automating question answering system. Mining these QA pairs has become a hot issue in the research community. Effective mining of the QA pairs is being hindered by a number of factors. Lexical chasm that renders some Information Retrieval (IR) techniques less effective, casual language that creates noisy data; multiple authors that bring about unfocused topics are some of the issues that need to be addressed. In this paper, an extensive overview of the strategies and findings relevant to these three challenges are addressed. The survey revealed that researchers are adopting non-lexical features as against lexical to resolve the issue of data sparseness. Noise level is mostly controlled using conventional dictionary rather than using domain-specific dictionary.
THE ASSUMPTIONS ON KNOWLEDGE AND RESOURCES IN MODELS OF RATIONALITY

Intelligence can be understood as a form of rationality, in the sense that an intelligent system does its best when its knowledge and resources are insufficient with respect to the problems to be solved. The traditional models of rationality typically assume some form of sufficiency of knowledge and resources, so cannot solve many theoretical and practical problems in Artificial Intelligence (AI). New models based on the Assumption of Insufficient Knowledge and Resources (AIKR) cannot be obtained by minor revisions or extensions of the traditional models, and have to be established fully according to the restrictions and freedoms provided by AIKR. The practice of NARS, an AI project, shows that such new models are feasible and promising in providing a new theoretical foundation for the study of rationality, intelligence, consciousness, and mind.
Numerical Studies of Reinforced Concrete Beam Damage Detection Based on the Piezoelectric Impedance and Neural Network Technology

Aiming at the problem of reinforced concrete structure crack damage detection, an algorithm of crack damage monitoring based on the piezoelectric impedance technology was presented in this paper. With a piezoelectric coupling beam model was established, the electrical impedance equation of piezoelectric coupling beam was derived. The finite element model of reinforced concrete beam pasting with piezoelectric ceramic piece was established. The effect of different crack depth on the electrical impedance of coupling beam was analyzed. The results show that with the increase of crack depth, impedance peak decreases, spectrum shift to the left; neural network technology data processing method was used to the location identification of reinforced concrete beam crack depth. It proves that the piezoelectric impedance technology can successfully identify the degree of reinforced concrete beam damage to some extent.
Reclaiming the students – coping with social media in 1:1 schools

There is a debate about the advantages and disadvantages of using social media in education. Drawing on interviews and surveys with students and teachers in three Swedish schools, this study finds that students as well as teachers find much of the students' social media use distractive to learning. We investigate this by means of an interpretative study of students' and teachers' experiences. We find that concerns relate to how social media use makes students less social, how weaker students are more likely to get distracted, how teachers lack strategies for tackling the problem and how the responsibility of the use is delegated to the students. We discuss how the distractive use of social media is made possible as a result of education policies requiring a higher degree of individual work, individual responsibility, and educational choices for students. Teachers and school leaders need to jointly reclaim the students and coping strategies for the distractive use are urgently needed.
Blind source separation: neural net principles and applications

Blind source separation (BSS) is a computational technique for revealing hidden factors that underlie sets of measurements or signals. The most basic statistical approach to BSS is Independent Component Analysis (ICA). It assumes a statistical model whereby the observed multivariate data are assumed to be linear or nonlinear mixtures of some unknown latent variables with nongaussian probability densities. The mixing coefficients are also unknown. By ICA, these latent variables can be found. This article gives the basics of linear ICA and relates the problem and the solution algorithms to neural learning rules, which can be seen as extensions of some classical Principal Component Analysis learning rules. Also the more efficient FastICA algorithm is briefly reviewed. Finally, the paper lists recent applications of BSS and ICA on a variety of problem domains.
Preparation of ITO electrode on the organic layer by sputtering

The ITO known as a transparent electrode was grown on an organic layer of an organic EL device by sputtering using a shield plate. EL devices were fabricated by reversing the order of stacking the layers (Glass/Al/PVCz:Coumarin6/ITO) compared to the conventional method. Green emission similar to those of the conventionally stacked devices was observed. From the results of SEM observations, degradation of the organic layer by the incidence of high energy particles during the sputtering was suggested. No high-luminance emission was found. However, in the inversely stacked EL device fabricated by the two-stage evaporation method, which relaxes the sputtering conditions in the initial stage of ITO deposition, had superior device life time, because the top ITO layer acts as a protection layer of the device. © 2000 Scripta Technica, Electron Comm Jpn Pt 2, 83(4): 23–30, 2000
The connectionist approach to phonological encoding: Evidence from Mandarin speech and aphasic errors

The pioneering studies by Fromkin (1973) and Garrett (1988) suggest that the process of speech planning can be viewed as a series of stages, each devoted to a specific level of linguistic planning. This serial approach predicts that a speech error only occurs at a distinct level of speech production planning, with other levels unaffected. However, other researchers propose parallel models of production, where multiple levels of processing take place simultaneously (e.g., Dell 1988). This parallel approach thus predicts that a speech error occurring at one level may activate the processing at a different level. The aim of this paper is to demonstrate that evidence from naturally-occurring speech errors as well as aphasic errors in Mandarin favors the connectionist approach advocated in Dell's interactive spreading activation models over the serial order mechanisms employed by Garrett. Analysis of a total of 1500 errors by Mandarin aphasic patients (2 Broca, 3 Wernicke, and 2 mixed) and 4500 speech errors by native speakers of Mandarin, all collected by the author's research team in naturalistic settings, support the following four findings. First of all, phonological segments are the fundamental units that are manipulated during phonological encoding in processing since phonological errors involving single segments range from 71% in speech errors to 81% in aphasic errors. This finding is compatible with both Garrett's and Dell's models. Secondly, the fact that substitution errors outnumber addition errors, which in turn outnumber omission errors, faithfully reflects the universal structure of language, as in both the serial order models and the connectionist models, substituting one segment for another causes less disruption in the phonological structure than the other two types. Thirdly, phonological substitution errors show that the similarity of segments, as defined by the number of shared features, affects the frequency with which two segments are mutually involved, i.e., segments which are phonetically more similar are more likely to interact. 56% of speech errors and 54% of aphasic errors show that the target and error segment share all but one feature. In addition, similarity effects also occur in lexical substitution errors, out of which 89% in speech errors and 92% in aphasic errors show a semantic connection and 45% of all cases also show a phonological connection. However, malapropisms with a purely phonological relationship are rarely. Here Dell's parallel activation model provides a better account in terms of feedback from the phonological nodes to the semantic nodes, since the …
Blood: Gift or Merchandise?

This vivid and well researched book by Dianna Melrose from Oxfam details the paradoxes which attend the business of medicine when it is detached from charity or caring. When the medical enterprise is purely a matter of selling skills and medicaments 'caveat emptor' is the order of the day. In these circumstances some patients die of diseases for which there are no treatments. Some of the poorest, who can afford neither treatment nor drugs, die of diseases that are curable or preventable. And families may make immense sacrifices to purchase drugs which are unnecessary, while they go short of food. Drugs do have uses and are effective, both for the cure of some ills and for the alleviation of symptoms. But at present the rich are more likely to enjoy superior health and to receive more suitable medication than the poor. Awareness of the issue is promoted by the World Health Organisation, with its recent emphasis on primary health care. Manufacturers too are beginning to accept some responsibility to Third World countries through an international federation. There are also attempts, by some governments, to legislate on drug importation and distribution. Rich nations have taken at least one firm stand, in relation to limiting the sale ofbreast-milk substitutes. Oxfam's final recommendations are all fine and good as far as they go. They are discreetly apolitical, aiming for agreements between decent gentlemen. But can we continue to ignore the politics ofmedicine?
An Ontology-Based Workflow Model Supporting Collaborative Product Development

Collaborative product development (CPD) is a dynamic collaborative process. A workflow model supporting CPD can provide a powerful and orderly workflow management for modern product development. This paper studies the requirements of CPD towards the workflow model, establishes a workflow metamodel supporting CPD process, proposes an idea of ontology-based workflow modeling and builds the workflow ontology model, which will strongly support interactive manipulation between the workflow management systems of collaborative product development.
El grafeno y sus derivados en la ingeniería tisular

espanolEl grafeno y sus derivados forman parte de una nueva era de nanomateriales con un futuro muy prometedor en el area biomedica de la ingenieria tisular, debido a que la mayor parte de los biomateriales carecen de las propiedades adecuadas para su uso como soportes altamente porosos (scaffolds en ingles) que puedan simular la funcion de la matriz extracelular en la regeneracion de tejidos. Se ha demostrado que el relativamente nuevo material grafeno, premio Nobel 2010, posee propiedades unicas muy superiores a las de cualquier otro material, como su gran resistencia mecanica (doscientas veces superior a la del acero), excelente conductividad termica y electrica, etc. Por lo tanto, este material podria solucionar muchos de los problemas encontrados en la fabricacion de scaffolds en ingenieria tisular en el futuro. De este modo, en esta revision se muestra la familia de los grafenos y se pretende dar una idea del avance realizado hasta la fecha en este campo de investigacion. EnglishGraphene and its derivatives are part of a new era of nanomaterials with very promising future in the biomedical field of tissue engineering due to most biomaterials lack of suitable properties to be employed as highly porous scaffolds simulating the extracellular matrix function in tissue regeneration. It has been shown that the relatively new material graphene, Nobel Prize in 2010, has unique properties like its high mechanical strength (two hundred times stronger than steel), excellent thermal and electrical conductivity, etc. Thus, this material could solve many of the problems encountered in the manufacture of scaffolds for tissue engineering in the future. In this way, this review shows the graphene family materials and the progress achieved to date in this field of research.
Selected Cardiovascular Studies Based on Photoplethysmography Technique

Photoelectric plethysmography, also known as photoplethysmography (PPG) or optical plethysmography, is a non-invasive optical method to detect cardio-vascular pulse wave that propagates through the body . This chapter gives an overview of the basic principle of PPG operation, early and recent history of PPG, instrumentation, measurement protocol and pulse wave analysis. A brief discussion on the current and potential applications of PPG in physiological measurements is also included in this chapter. Towards the end of the chapter, the main objective of the research work carried out is highlighted.
Performance of Offset Quadriphase Spread-Spectrum Multiple-Access Communications

New analytical results are obtained on the performance of quadriphase spread-spectrum multiple-access communications. The primary performance parameter considered is the signal-to-noise ratio at the receiver output. This parameter includes the effects of multiple-access interference and channel noise, and it has been shown to give a reliable estimate of the average probability of error.