Mobilizazio ziklo eta konfrontazio bortitzaren arteko harremana Europan 1960-70 hamarkadetan. Analisi konparatu bat: Euskal Herriko, Irlandako, Italiako eta Alemaniako kasuen azterketa

Lan honen ikergaia, Europan emandako gatazka bortitzen, eta zehazki armatuen, analisia izango da. Horretarako, gatazka armatu horien eta mobilizazio zikloen artean dauden harremanak eta zubiak aztertzen saiatuko gara. Analisi hau, 1960 hamarkadaren bukaeran eta 1970 hamarkadaren hasieran zentratuko da, izan ere, denbora tarte horretan eman ziren gatazka bortitzen espresiorik nagusienak, gatazka armatuak alegia. Hori aztertzeko, 4 kasu hartuko dira: ETA Euskal Herrian, IRA Irlandan, Brigate Rosse Italian eta Rote Armee Fraktion Alemanian.

Chimparra gneisak: analisi petrografiko eta mikroestrukturala (Cabo Ortegal)

[EUS] Lan honetan Chimparra Gneisak izeneko milonitak aztertuko dira, gradu eta presio altuko metamorfismoa jasan duten jatorri bolkanosedimentariodun arrokak. Bilatzen den xede nagusia Chimparra Gneisen petrologia eta mikroegiturak deskribatzea da; alde batetik, deformazio faseak ezberdintzeko eta arrokak jasandako presio eta tenperatura baldintzak ezagutzeko, eta bestetik, milonitizazio faseari buruzko informazioa lortzeko: mineralen orientazio preferenteak bilatzea, mineral ezberdinek kristal barneko deformazioan aktibatutako irristatze-mekanismoak ezagutzea eta lineazio eta zizaila motak argitzea. Horretarako, landa eta laborategi lana egin izan da, ikerketa bibliografikoaz gain. Mikroskopio optikoan azterketa petrologikoa burutu, eta EBSD teknika berria erabili da datu petrologiko osagarriak eta datu mikroestrukturalak lortzeko.

Combinatória: abordagem precisa

O objetivo central deste projeto é precisar matematicamente certos objetos combinatórios que servem como ponto de partida nas apresentações usuais da Análise Combinatória e são comumente apresentados de maneira informal e intuitiva. Estabelecido este referencial teórico preciso, pretendemos, a partir dele, reapresentar os conceitos de Análise Combinatória de modo mais rigoroso privilegiando sempre a apresentação mais natural possível. Mais precisamente, estaremos interessados em reapresentar os resultados referentes ao capítulo dois do livro do professor Augusto C. Morgado a partir de uma versão matematicamente mais precisa dos Princípios Aditivo e Multiplicativo. Além disso, pretendemos que os argumentos usados em nossas deduções usem predominantemente indução ou construção de bijeções, o que é um dos grandes objetos de estudo da combinatória moderna

基于Labview开发统计过程控制软件

统计过程控制是质量管理的重要内容,介绍了SPC的原理,并用Labview软件实现了SPC软件。这种开发方法应用了Labview软件提供的统计过程控制模块,方便了程序的开发,很容易被质量人员掌握,设备改动或软件应用于别的设备时,只需简单地修改参数,大大方便了统计过程控制的普及,提高企业的质量水平。

基于LabVIEW的自组织网络的实现与应用

文章介绍了自组织神经网络在故障诊断方面的应用原理,针对自组织神经网络实现问题提出了一种通过在LabVIEW调用MATLAB应用程序实现自组织神经网络的方法。并通过轴承故障诊断的实例,证明了这种方法的有效性。

基于labview的变速箱振动测试分析系统

文章介绍了一个基于虚拟仪器技术开发的变速箱振动测试与分析系统。该系统实现了汽车变速箱振动信号的检测、分析、处理和显示存储,满足对测试过程高精度、自动化、智能化等各项测试要求。

Reti complesse e analisi del segnale elettroencefalografico

The identification of subject-specific traits extracted from patterns of brain activity still represents an important challenge. The need to detect distinctive brain features, which is relevant for biometric and brain computer interface systems, has been also emphasized in monitoring the effect of clinical treatments and in evaluating the progression of brain disorders. Graph theory and network science tools have revealed fundamental mechanisms of functional brain organization in resting-state M/EEG analysis. Nevertheless, it is still not clearly understood how several methodological aspects may bias the topology of the reconstructed functional networks. In this context, the literature shows inconsistency in the chosen length of the selected epochs, impeding a meaningful comparison between results from different studies. In this study we propose an approach which aims to investigate the existence of a distinctive functional core (sub-network) using an unbiased reconstruction of network topology. Brain signals from a public and freely available EEG dataset were analyzed using a phase synchronization based measure, minimum spanning tree and k-core decomposition. The analysis was performed for each classical brain rhythm separately. Furthermore, we aim to provide a network approach insensitive to the effects that epoch length has on functional connectivity (FC) and network reconstruction. Two different measures, the phase lag index (PLI) and the Amplitude Envelope Correlation (AEC), were applied to EEG resting-state recordings for a group of eighteen healthy volunteers. Weighted clustering coefficient (CCw), weighted characteristic path length (Lw) and minimum spanning tree (MST) parameters were computed to evaluate the network topology. The analysis was performed on both scalp and source-space data. Results about distinctive functional core, show highest classification rates from k-core decomposition in gamma (EER=0.130, AUC=0.943) and high beta (EER=0.172, AUC=0.905) frequency bands. Results from scalp analysis concerning the influence of epoch length, show a decrease in both mean PLI and AEC values with an increase in epoch length, with a tendency to stabilize at a length of 12 seconds for PLI and 6 seconds for AEC. Moreover, CCw and Lw show very similar behaviour, with metrics based on AEC more reliable in terms of stability. In general, MST parameters stabilize at short epoch lengths, particularly for MSTs based on PLI (1-6 seconds versus 4-8 seconds for AEC). At the source-level the results were even more reliable, with stability already at 1 second duration for PLI-based MSTs. Our results confirm that EEG analysis may represent an effective tool to identify subject-specific characteristics that may be of great impact for several bioengineering applications. Regarding epoch length, the present work suggests that both PLI and AEC depend on epoch length and that this has an impact on the reconstructed network topology, particularly at the scalp-level. Source-level MST topology is less sensitive to differences in epoch length, therefore enabling the comparison of brain network topology between different studies.

Planning humanitarian projects with educational focus in Guinea rural areas

Dissertação apresentada à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Acção Humanitária, Cooperação e Desenvolvimento

Online and Offline Character Recognition Using Alignment to Prototypes

Nearest neighbor classifiers are simple to implement, yet they can model complex non-parametric distributions, and provide state-of-the-art recognition accuracy in OCR databases. At the same time, they may be too slow for practical character recognition, especially when they rely on similarity measures that require computationally expensive pairwise alignments between characters. This paper proposes an efficient method for computing an approximate similarity score between two characters based on their exact alignment to a small number of prototypes. The proposed method is applied to both online and offline character recognition, where similarity is based on widely used and computationally expensive alignment methods, i.e., Dynamic Time Warping and the Hungarian method respectively. In both cases significant recognition speedup is obtained at the expense of only a minor increase in recognition error.

A LabVIEW Platform for Preclinical Imaging Using Digital Subtraction Angiography and Micro-CT.

CT and digital subtraction angiography (DSA) are ubiquitous in the clinic. Their preclinical equivalents are valuable imaging methods for studying disease models and treatment. We have developed a dual source/detector X-ray imaging system that we have used for both micro-CT and DSA studies in rodents. The control of such a complex imaging system requires substantial software development for which we use the graphical language LabVIEW (National Instruments, Austin, TX, USA). This paper focuses on a LabVIEW platform that we have developed to enable anatomical and functional imaging with micro-CT and DSA. Our LabVIEW applications integrate and control all the elements of our system including a dual source/detector X-ray system, a mechanical ventilator, a physiological monitor, and a power microinjector for the vascular delivery of X-ray contrast agents. Various applications allow cardiac- and respiratory-gated acquisitions for both DSA and micro-CT studies. Our results illustrate the application of DSA for cardiopulmonary studies and vascular imaging of the liver and coronary arteries. We also show how DSA can be used for functional imaging of the kidney. Finally, the power of 4D micro-CT imaging using both prospective and retrospective gating is shown for cardiac imaging.