981 resultados para World Archaeological Congress Southampton
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Since the earliest developments of human history, friction has been a major issue. From the invention of the wheel and the use of the first lubricants to the studiesof coated and microtexturized surfaces, significant effort has been put on improvements that couldovercome the resistance to motion. Areview by Holmberg, Andersson and Erdemir[1] shows that, in an average passenger car, about one third of the total energy consumptionis due to friction losses. Of these, another one third is consumed in the engine system. The optimization of the lubricating oil formulation used ininternal combustion enginesis an important way to reduce friction, therefore improving energeticefficiencyand controllingemissions.Lubrication is also a way to assure the required protection to the system by maintaining wear rates in an adequate level, which helps to minimize maintenance costs.
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Le intersezioni stradali, sono le aree individuate da tre o più tronchi stradali (archi) che convergono in uno stesso punto, nonchè dai dispositivi e dagli apprestamenti atti a consentire ed agevolare le manovre per il passaggio da un tronco all'altro. Rappresentano punti critici della rete viaria per effetto delle mutue interferenze tra le diverse correnti di traffico durante il loro attraversamento. Si acuiscono pertanto, nella loro "area di influenza", i problemi legati alla sicurezza e quelli relativi alla regolarità ed efficienza della circolazione. Dalla numerosità dei fattori da cui dipende la configurazione di un incrocio (numero e tipo di strade, entità dei flussi, situazioni locali, ecc.) deriva una ancor più vasta gamma di tipologie e di schemi. La rotatoria, come particolare configurazione di intersezione a raso, è lo schema che viene considerato nel presente lavoro di tesi, sia nei suoi caratteri essenziali e generali, sia nel particolare di una intersezione che, nel Comune di Bologna, è stata realizzata in luogo dell'intersezione semaforizzata precedente.
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5 Briefe zwischen Konrad Wittwer und Max Horkheimer, 1936, 1938, 1939; 1 Brief von Max Horkheimer an Joseph Wohl, 18.08.1934; 1 Brief von Max Horkheimer an Hedwig Wollenberger, 25.02.1941; 2 Briefe zwischen Richard Wolf und Max Horkheimer, 22.10.1938, 07.11.1938; 2 Briefe zwischen Martha Wolfenstein und Max Horkheimer, 11.10.1937, 19.10.1937; 1 Brief von Clemy Wolff an Leo Löwenthal, 05.03.1941; 2 Briefe zwischen Ilse Wolff und Max Horkheimer, 29.08.1937, 03.09.1937; 1 Brief von Max Horkheimer an Howard Woolston, 25.03.1941; 1 Einladung von der Women's Conference, 1935; 1 Brief von Max Horkheimer an die Women's Conference, 15.03.1935; 1 Brief von der World Foundation an Max Horkheimer, 26.11.1937; 2 Briefe vom World Jewish Congress an Max Horkheimer, 1942, 1945; 1 Brief von Max Horkheimer an Francis Henry Russel, 28.09.1942; 1 Brief von Max Horkheimer an Dr. Opie, 28.09.1942; 1 Brief der Württembergische Hypothekenbank an Max Horkheimer, 24.12.1930; 12 Briefe zwischen Rösle Wuestholz und Max Horkheimer, 1935-1937, 1939; 1 Brief von Max Horkheimer an Frida Wunderlich, 22.11.1937; 1 Brief von Max Horkheimer an die Yale University Library, 22.12.1938; 2 Briefe zwischen Owen D. Young und Max Horkheimer, 22.04.1940, April 1940; 3 Briefe zwischen Hans Zeisel und Max Horkheimer, 21.07.1941, 1941, 1944; 2 Briefe zwischen der Zentrale Hilfsstelle für deutsche Flüchtlingskinder Prag und Max Horkheimer, 01.03.1938, 25.04.1938; 6 Briefe zwischen Gregory Zilboorg und Max Horkheimer, 1939; 16 Briefe und Beilage an Max Horkheimer und F. Pollock von Edgar Zilsel, 1939-1942; 1 Brief vom Social Science Research Counsil an Edgar Zilsel, 01.04.1940; 1 Brief von The Rockefeller Foundation an Edgar Zilsel, 20.06.1939; 9 Briefe und Beilage von Max Horkheimer und F. Pollock an Edgar Zilsel, 1939-1942 sowie Briefwechsel mit Betty Drury; 10 Briefe zwischen The Rockefeller Foundation und Max Horkheimer, 1939-1940; 1 Brief von Max Horkheimer an Edgar Zilsel, 20.06.1939; 12 Briefe zwischen Betty Drury und F. Pollock, 1939-1940; 7 Briefe zwischen Alexander Zinnemann und Max Horkheimer, 1936;
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19 Briefe zwischen Lisa Witherell (geb. Richter) und Max Horkheimer, 1963-1971; 2 Briefe zwischen Werner Wittayer (stud. phil.) und Max Horkheimer, 1964; 4 Drucksachen vom Landtagspräsidenten Otto Witte an Max Horkheimer, 1952-1954; 2 Briefe an Otto Witte von Max Horkheimer, 1952-1953; 1 Todesanzeige, 1963; 4 Briefe zwischen der Studentin Ulrike Wittenberg und Max Horkheimer, 1972-1973; 4 Briefe zwischen dem Professor Karl A. Wittfogel und Max Horkheimer, 1972; 3 Briefe zwischen dem Oberstudiendirektor Dr. Kurt Debus und Max Horkheimer, 1967; 3 Briefe zwischen David Wodlinger und Max Horkheimer, 1960; 2 Briefe zwischen Dr. Herman Wohlstein und Max Horkheimer, 1965; 16 Briefe an Johanna Woitschach von Max Horkheimer, 1970-1973 (die Briefe an Max Horkheimer wurden zurückverlangt); 1 Brief von Ernst Wolf an Max Horkheimer, San Francisco, 1954; 3 Briefe zwischen dem Diplom-Psychologen Heinz E. Wolf und Max Horkheimer, 1958; 13 Briefe zwischen dem Oberstudiendirektor Oskar Wolfenstädter und Max Horkheimer, 1968-1969; 4 Briefe zwischen der Ordensschwester Katherine Wolff und Max Horkheimer, 1970-1971; 25 Briefe zwischen Margo H. Wolff und Max Horkheimer, 1962-1973; 11 Briefe zwischen dem Professor Max Wolff und Max Horkheimer, 1960; 3 Briefe zwischen dem Professor Manfred Wolfson und Max Horkheimer, 1971; 6 Briefe von der Physiotherapeutin Helga Wolk an Max Horkheimer, 1970-1971; 13 Briefe zwischen Hedwig G. de Wollenberger und Max Horkheimer, 1966-1970; 1 Brief an den Professor Günther Wollheim von Max Horkheimer, 1965; 4 Briefe zwischen Johanna Wopperer-Ege und Max Horkheimer, 1970; 5 Briefe zwischen Anton Wopperer und Max Horkheimer, 1969-1970; 3 Briefe an die World Future Society von Max Horkheimer, 1969-1973; 2 Briefe zwischen dem World Jewish Congress und Max Horkheimer, 1970; 2 Briefe zwischen dem Professor Theodor Würtenberger und Max Horkheimer, 1964; 3 Briefe zwischen der Würtembergischen Landesbibliothek und Max Horkheimer, 1969; 16 Briefe zwischen Rösle Wüstholz und Max Horkheimer, 1951-1959; 2 Briefe zwischen Christoph Wulf und Max Horkheimer, 1973; 1 Brief an Jssy Wygoda von Max Horkheimer, 1964; 2 Briefe zwischen Dr. Hans von Wyl und Max Horkheimer, 1971; 2 Briefe zwischen Jacques Wyler und Max Horkheimer, 1973; 1 Brief von Gisela Wysocki an Max Horkheimer, o.J. (1973?);
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Customer evolution and changes in consumers, determine the fact that the quality of the interface between marketing and sales may represent a true competitive advantage for the firm. Building on multidimensional theoretical and empirical models developed in Europe and on social network analysis, the organizational interface between the marketing and sales departments of a multinational high-growth company with operations in Argentina, Uruguay and Paraguay is studied. Both, attitudinal and social network measures of information exchange are used to make operational the nature and quality of the interface and its impact on performance. Results show the existence of a positive relationship of formalization, joint planning, teamwork, trust and information transfer on interface quality, as well as a positive relationship between interface quality and business performance. We conclude that efficient design and organizational management of the exchange network are essential for the successful performance of consumer goods companies that seek to develop distinctive capabilities to adapt to markets that experience vertiginous changes
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This paper present an environmental contingency forecasting tool based on Neural Networks (NN). Forecasting tool analyzes every hour and daily Sulphur Dioxide (SO2) concentrations and Meteorological data time series. Pollutant concentrations and meteorological variables are self-organized applying a Self-organizing Map (SOM) NN in different classes. Classes are used in training phase of a General Regression Neural Network (GRNN) classifier to provide an air quality forecast. In this case a time series set obtained from Environmental Monitoring Network (EMN) of the city of Salamanca, Guanajuato, México is used. Results verify the potential of this method versus other statistical classification methods and also variables correlation is solved.
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In this paper a method based mainly on Data Fusion and Artificial Neural Networks to classify one of the most important pollutants such as Particulate Matter less than 10 micrometer in diameter (PM10) concentrations is proposed. The main objective is to classify in two pollution levels (Non-Contingency and Contingency) the pollutant concentration. Pollutant concentrations and meteorological variables have been considered in order to build a Representative Vector (RV) of pollution. RV is used to train an Artificial Neural Network in order to classify pollutant events determined by meteorological variables. In the experiments, real time series gathered from the Automatic Environmental Monitoring Network (AEMN) in Salamanca Guanajuato Mexico have been used. The method can help to establish a better air quality monitoring methodology that is essential for assessing the effectiveness of imposed pollution controls, strategies, and facilitate the pollutants reduction.
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Climate change is on the policy agenda at the global level, with the aim of understanding and reducing its causes and to mitigate its consequences. In most of the countries and international organisms UNO, OECD, EC, etc … the efforts and debates have been directed to know the possible causes, to predict the future evolution of some variable conditioners, and trying to make studies to fight against the effects or to delay the negative evolution of such. Nevertheless, the elaboration of a global model was not boarded that can help to choose the best alternative between the feasible ones, to elaborate the strategies and to evaluate the costs. As in all natural, technological and social changes, the best-prepared countries will have the best bear and the more rapid recover. In all the geographic areas the alternative will not be the same one, but the model should help us to make the appropriated decision. It is essential to know those areas that are more sensitive to the negative effects of climate change, the parameters to take into account for its evaluation, and comprehensive plans to deal with it. The objective of this paper is to elaborate a mathematical model support of decisions, that will allow to develop and to evaluate alternatives of adaptation to the climatic change of different communities in Europe and Latin-America, mainly, in vulnerable areas to the climatic change, considering in them all the intervening factors. The models will take into consideration criteria of physical type (meteorological, edaphic, water resources), of use of the ground (agriculturist, forest, mining, industrial, urban, tourist, cattle dealer), economic (income, costs, benefits, infrastructures), social (population), politician (implementation, legislation), educative (Educational programs, diffusion), sanitary and environmental, at the present moment and the future.
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Over the last ten years, Salamanca has been considered among the most polluted cities in México. This paper presents a Self-Organizing Maps (SOM) Neural Network application to classify pollution data and automatize the air pollution level determination for Sulphur Dioxide (SO2) in Salamanca. Meteorological parameters are well known to be important factors contributing to air quality estimation and prediction. In order to observe the behavior and clarify the influence of wind parameters on the SO2 concentrations a SOM Neural Network have been implemented along a year. The main advantages of the SOM is that it allows to integrate data from different sensors and provide readily interpretation results. Especially, it is powerful mapping and classification tool, which others information in an easier way and facilitates the task of establishing an order of priority between the distinguished groups of concentrations depending on their need for further research or remediation actions in subsequent management steps. The results show a significative correlation between pollutant concentrations and some environmental variables.
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Diabetes is the most common disease nowadays in all populations and in all age groups. diabetes contributing to heart disease, increases the risks of developing kidney disease, blindness, nerve damage, and blood vessel damage. Diabetes disease diagnosis via proper interpretation of the diabetes data is an important classification problem. Different techniques of artificial intelligence has been applied to diabetes problem. The purpose of this study is apply the artificial metaplasticity on multilayer perceptron (AMMLP) as a data mining (DM) technique for the diabetes disease diagnosis. The Pima Indians diabetes was used to test the proposed model AMMLP. The results obtained by AMMLP were compared with decision tree (DT), Bayesian classifier (BC) and other algorithms, recently proposed by other researchers, that were applied to the same database. The robustness of the algorithms are examined using classification accuracy, analysis of sensitivity and specificity, confusion matrix. The results obtained by AMMLP are superior to obtained by DT and BC.
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Salamanca, situated in center of Mexico is among the cities which suffer most from the air pollution in Mexico. The vehicular park and the industry, as well as orography and climatic characteristics have propitiated the increment in pollutant concentration of Sulphur Dioxide (SO2). In this work, a Multilayer Perceptron Neural Network has been used to make the prediction of an hour ahead of pollutant concentration. A database used to train the Neural Network corresponds to historical time series of meteorological variables and air pollutant concentrations of SO2. Before the prediction, Fuzzy c-Means and K-means clustering algorithms have been implemented in order to find relationship among pollutant and meteorological variables. Our experiments with the proposed system show the importance of this set of meteorological variables on the prediction of SO2 pollutant concentrations and the neural network efficiency. The performance estimation is determined using the Root Mean Square Error (RMSE) and Mean Absolute Error (MAE). The results showed that the information obtained in the clustering step allows a prediction of an hour ahead, with data from past 2 hours.
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All activities of an organization involve risks that should be managed. The risk management process aids decision making by taking account of uncertainty and the possibility of future events or circumstances (intended or unintended) and their effects on agreed objectives. With that idea, new ISO Standard has been drawn up. ISO 31010 has been recently issued which provides a structured process that identifies how objectives may be affected, and analyses the risk in term of consequences and their probabilities before deciding on whether further treatment is required. In this lecture, that ISO Standard has been adapted to Open Pit Blasting Operations, focusing in Environmental effects which can be managed properly. Technique used is Fault Tree Analysis (FTA), which is applied in all possible scenarios, providing to Blasting Professionals the tools to identify, analyze and manage environmental effects in blasting operations. Also this lecture can help to minimize each effect, studying each case. This paper also can be useful to Project Managers and Occupational Health and Safety Departments (OH&S) because blasting operations can be evaluated and compared one to each other to determine the risks that should be managed in different case studies. The environmental effects studied are: ground vibrations, flyrock and air overpressure (airblast). Sometimes, blasting operations are carried out near populated areas where environmental effects may impose several limitations on the use of explosives. In those cases, where these factors approach certain limits, National Standards and Regulations have to be applied.
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In this work, an electricity price forecasting model is developed. The performance of the proposed approach is improved by considering renewable energies (wind power and hydro generation) as explanatory variables. Additionally, the resulting forecasts are obtained as an optimal combination of a set of several univariate and multivariate time series models. The large computational experiment carried out using out-of-sample forecasts for every hour and day allows withdrawing statistically sound conclusions
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Bibliographical references included in "Footnotes" (p. [277]-303) Bibliography: p. [325]-347
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Mode of access: Internet.