Cosa: arqueologia de un enclave comercial mediterráneo. Campaña de 2006

En el marco del proyecto “La ciutat romana de Cosa: arqueologia d’un enclau comercial mediterrani” , autorizado y apoyado por la Soprintendenza Archeologica por la Toscana, entre los dias 4 y 22 de septiembre de 2006 se ha realizado la segunda campaña de intervenciones arqueológicas en la ciudad romana de Cosa (Ansedonia, prov. Grosseto, Itàlia), colonia latina fundada en el 273 aC a unos 120 km. al norte de Roma. De acuerdo a los resultados obtenidos en la campanya del 2005 (localización/verificación de los límites precisos de la ínsula O-P/4-5 mediante la aplicación de técnicas de prospección geofísica completadas con la limpieza, registro y documentación arqueológica de las estructuras localizadas ) los trabajos del 2006 se han orientado hacia la identificación de la organización interna de la dicha ínsula tomando como referente el criptopórtico situado en el extremo N.E., el cual parece constituir el límite de una estructura singular (privada o pública ) estratégicamente ubicada en relación al fórum i a la Via Sacra. El trabajo de campo ha consistido en un intenso decapage con la finalidad de delimitar unidades de habitación complejas funcionalmente definidas y así la articulación existente entre ellas; en este sentido se ha podido documentar evidencias del espacio porticado superpuesto al criptopórtico así como, paralelamente a la calle 5 y en dirección a la Via Sacra, parte de habitaciones algunas de las cuales conservaban restos del pavimiento original, en un caso de mosaico. Paralelamente, se ha realizado el análisis en laboratorio de los materiales recuperados los cuales, aún procediendo de nivel superficial, empiezan a proporcionar datos sobre los diferentes momentos de ocupación de la zona, básicamente tardorepublicanos y augustales.

Optimization of floor cleaning coverage performance of a random path-planning mobile robot

Floor cleaning is a typical robot application. There are several mobile robots aviable in the market for domestic applications most of them with random path-planning algorithms. In this paper we study the cleaning coverage performances of a random path-planning mobile robot and propose an optimized control algorithm, some methods to estimate the are of the room, the evolution of the cleaning and the time needed for complete coverage.

Survival and Sensemaking: Organizational Resilience in a Wall Street Trading Room After 9/11

How do organizations cope with extreme uncertainty? The existing literature is divided on this issue: some argue that organizations deal best with uncertainty in the environment by reproducing it in the organization, whereas others contend that the orga nization should be protected from the environment. In this paper we study the case of a Wall Street investment bank that lost its entire office and trading technology in the terrorist attack of September 11 th. The traders survived, but were forced to relocate to a makeshift trading room in New Jersey. During the six months the traders spent outside New York City, they had to deal with fears and insecurities inside the company as well as outside it: anxiety about additional attacks, questions of professional identity, doubts about the future of the firm, and ambiguities about the future re-location of the trading room. The firm overcame these uncertainties by protecting the traders' identities and their ability to engage in sensemaking. The organization held together through a leadership style that managed ambiguities and created the conditions for new solutions to emerge.

Ecologies of Value in a Wall Street Trading Room

Our task in this paper is to analyze the organization of trading in the era of quantitative finance. To do so, we conduct an ethnography of arbitrage, the trading strategy that best exemplifies finance in the wake of the quantitative revolution. In contrast to value and momentum investing, we argue, arbitrage involves an art of association-the construction of equivalence (comparability) of properties across different assets. In place of essential or relational characteristics, the peculiar valuation that takes place in arbitrage is based on an operation that makes something the measure of something else-associating securities to each other. The process of recognizing opportunities and the practices of making novel associations are shaped by the specific socio-spatial and socio-technical configurations of the trading room. Calculation is distributed across persons and instruments as the trading room organizes interaction among diverse principles of valuation.

How to recognize opportunities: Heterarchical search in a Wall Street trading room

Our task in this paper is to analyze the organization of trading in the era of quantitativefinance. To do so, we conduct an ethnography of arbitrage, the trading strategy that bestexemplifies finance in the wake of the quantitative revolution. In contrast to value andmomentum investing, we argue, arbitrage involves an art of association - the constructionof equivalence (comparability) of properties across different assets. In place of essentialor relationa l characteristics, the peculiar valuation that takes place in arbitrage is based on an operation that makes something the measure of something else - associating securities to each other. The process of recognizing opportunities and the practices of making novel associations are shaped by the specific socio-spatial and socio-technical configurations of the trading room. Calculation is distributed across persons and instruments as the trading room organizes interaction among diverse principles of valuation.

EEG signal analysis via a cleaning procedure based on multivariate empirical mode decomposition

Artifacts are present in most of the electroencephalography (EEG) recordings, making it difficult to interpret or analyze the data. In this paper a cleaning procedure based on a multivariate extension of empirical mode decomposition is used to improve the quality of the data. This is achieved by applying the cleaning method to raw EEG data. Then, a synchrony measure is applied on the raw and the clean data in order to compare the improvement of the classification rate. Two classifiers are used, linear discriminant analysis and neural networks. For both cases, the classification rate is improved about 20%.

Automatització d'un sistema de neteja Cleaning In Place

El projecte es realitza en una empresa embotelladora d'aigua, on el procés d'embotellat estàautomatitzat. En canvi les tasques de sanitització de les línies es realitzen de maneramanual.Actualment, l'empresa es troba en fase de llançament de nous productes (refrescos) i pertant serà necessària una nova línia de producció. Es vol que la tasca de neteja dels equipsinstal•lats per a la realització dels nous productes sigui totalment automatitzada.El sistema de neteja automatitzat escollit és del tipus Cleaning In Place (CIP), que consisteixa netejar sense haver de desmuntar cap part del procés, garantint la correcta sanitització detotes les parts que estan en contacte amb el producte durant el procés de producció. Esdissenya el mòdul mesclador on es faran els xarops que formen part de les noves begudes.El disseny s'ha d'adaptar a les necessitats productives i a les exigències pròpies d'unasanitització.Es realitza la selecció dels actuadors, pre-actuadors i sensors necessaris per al'automatització del procés de neteja i preparació de xarops. Aquests elements esgovernaran a través d'un autòmat, on es carregaran els programes de neteja i preparació dexarops amb llenguatge de programació grafcet. Finalment, també es crea l'SCADA devisualització i control dels processos a través d'un panell tàctil

Contemporary engagements within corridors of the past: temporal elasticity, graffiti, and the materiality of St. Rock Street, Barcelona

In a medieval Barcelonan side-street, urine, rubbish, and a bewildering array of graphic imagery splatters the narrowing walls between two major thoroughfares. A contemporary conflict between residents, unknown artists and others is played out using banners, bottles, stickers, posters, stencils, spray paint, and bodily substances. In this shadowed liminality, local and global debates are superimposed upon substructures constructed from disease, prostitution, and the Saint of the Plague. The continuing urban struggle constitutes temporal statements of dirt and purity, violence and humour, dominance and resistance, death and salvation. Like the renovated facades masking the crumbling remains of structures long neglected, the government’s literal whitewashing of the art is a temporal cover-up of a discursive symptom stretching from deeply embedded preconditions. However, from his niche in the angular bend of the alley bearing his name, the statue of St. Rock remains unblinkingly staring, raised above the contestations expressed below.

ICA Cleaning procedure for EEG signals analysis: application to Alzheimer's disease detection

To develop systems in order to detect Alzheimer’s disease we want to use EEG signals. Available database is raw, so the first step must be to clean signals properly. We propose a new way of ICA cleaning on a database recorded from patients with Alzheimer's disease (mildAD, early stage). Two researchers visually inspected all the signals (EEG channels), and each recording's least corrupted (artefact-clean) continuous 20 sec interval were chosen for the analysis. Each trial was then decomposed using ICA. Sources were ordered using a kurtosis measure, and the researchers cleared up to seven sources per trial corresponding to artefacts (eye movements, EMG corruption, EKG, etc), using three criteria: (i) Isolated source on the scalp (only a few electrodes contribute to the source), (ii) Abnormal wave shape (drifts, eye blinks, sharp waves, etc.), (iii) Source of abnormally high amplitude ( �100 �V). We then evaluated the outcome of this cleaning by means of the classification of patients using multilayer perceptron neural networks. Results are very satisfactory and performance is increased from 50.9% to 73.1% correctly classified data using ICA cleaning procedure.