917 resultados para Municipal government by commission.
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Several recent works deal with 3D data in mobile robotic problems, e.g., mapping. Data comes from any kind of sensor (time of flight, Kinect or 3D lasers) that provide a huge amount of unorganized 3D data. In this paper we detail an efficient approach to build complete 3D models using a soft computing method, the Growing Neural Gas (GNG). As neural models deal easily with noise, imprecision, uncertainty or partial data, GNG provides better results than other approaches. The GNG obtained is then applied to a sequence. We present a comprehensive study on GNG parameters to ensure the best result at the lowest time cost. From this GNG structure, we propose to calculate planar patches and thus obtaining a fast method to compute the movement performed by a mobile robot by means of a 3D models registration algorithm. Final results of 3D mapping are also shown.
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Self-organising neural models have the ability to provide a good representation of the input space. In particular the Growing Neural Gas (GNG) is a suitable model because of its flexibility, rapid adaptation and excellent quality of representation. However, this type of learning is time-consuming, especially for high-dimensional input data. Since real applications often work under time constraints, it is necessary to adapt the learning process in order to complete it in a predefined time. This paper proposes a Graphics Processing Unit (GPU) parallel implementation of the GNG with Compute Unified Device Architecture (CUDA). In contrast to existing algorithms, the proposed GPU implementation allows the acceleration of the learning process keeping a good quality of representation. Comparative experiments using iterative, parallel and hybrid implementations are carried out to demonstrate the effectiveness of CUDA implementation. The results show that GNG learning with the proposed implementation achieves a speed-up of 6× compared with the single-threaded CPU implementation. GPU implementation has also been applied to a real application with time constraints: acceleration of 3D scene reconstruction for egomotion, in order to validate the proposal.
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In the chemical textile domain experts have to analyse chemical components and substances that might be harmful for their usage in clothing and textiles. Part of this analysis is performed searching opinions and reports people have expressed concerning these products in the Social Web. However, this type of information on the Internet is not as frequent for this domain as for others, so its detection and classification is difficult and time-consuming. Consequently, problems associated to the use of chemical substances in textiles may not be detected early enough, and could lead to health problems, such as allergies or burns. In this paper, we propose a framework able to detect, retrieve, and classify subjective sentences related to the chemical textile domain, that could be integrated into a wider health surveillance system. We also describe the creation of several datasets with opinions from this domain, the experiments performed using machine learning techniques and different lexical resources such as WordNet, and the evaluation focusing on the sentiment classification, and complaint detection (i.e., negativity). Despite the challenges involved in this domain, our approach obtains promising results with an F-score of 65% for polarity classification and 82% for complaint detection.
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This introduction provides an overview of the state-of-the-art technology in Applications of Natural Language to Information Systems. Specifically, we analyze the need for such technologies to successfully address the new challenges of modern information systems, in which the exploitation of the Web as a main data source on business systems becomes a key requirement. It will also discuss the reasons why Human Language Technologies themselves have shifted their focus onto new areas of interest very directly linked to the development of technology for the treatment and understanding of Web 2.0. These new technologies are expected to be future interfaces for the new information systems to come. Moreover, we will review current topics of interest to this research community, and will present the selection of manuscripts that have been chosen by the program committee of the NLDB 2011 conference as representative cornerstone research works, especially highlighting their contribution to the advancement of such technologies.
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This layer is a georeferenced raster image of the historic paper map entitled: Map of the city of Lowell : surveyed in 1841 by order of the municipal authorities, by I.A. Beard & J. Hoar ; engraved by G.W. Boynton. It was published in 1842. Scale [ca. 1:4,500]. Covers a portion of the City of Lowell. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Massachusetts State Plane Coordinate System, Mainland Zone (in Feet) (Fipszone 2001). All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, or other information associated with the principal map. This map shows features such as roads, railroads, drainage, public buildings, schools, churches, cemeteries, industry locations (e.g. mills, factories, mines, etc.), private buildings, boarding houses, hotels, city districts and more. Includes a an index to points of interest. This layer is part of a selection of digitally scanned and georeferenced historic maps of Massachusetts from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of regions, originators, ground condition dates (1755-1922), scales, and purposes. The digitized selection includes maps of: the state, Massachusetts counties, town surveys, coastal features, real property, parks, cemeteries, railroads, roads, public works projects, etc.
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Since the beginning of his third presidential term, Vladimir Putin has consistently invoked conservative ideology. Thus he legitimises the Kremlin’s new political strategy, the aim of which is to stabilise the regime and prevent any political mobilisation in Russia around a liberal agenda. This strategy is also intended to strengthen the legitimacy of the current model of government, by portraying it as ‘traditional’ for Russia; and to justify the government’s repressive and anti-Western policies. It also includes the policy of reintegrating the post-Soviet space under the auspices of Moscow, as evidenced by the annexation of Crimea and the Novorossiya project. This strategy was devised as a response to the galvanisation of adherents of liberalisation in Russia, namely the new middle class and a part of the business and administrative elites who publicly demonstrated their dissatisfaction with the regime in 2011 and 2012. However, the dissonance between the conservative slogans mouthed by the ruling elite and its actual conduct suggest that the Kremlin’s ‘conservative project’ is purely instrumental in nature, which in the longer term will undercut its effectiveness by undermining its credibility in the eyes of Russian society.
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How has the integration of trade policy and negotiating authority in Europe affected the external bargaining capabilities of the European Community (EC)? This paper analyzes the bargaining constraints and opportunities for the EC created by the obligation to negotiate as a single entity. The nature of demands in external~ the voting rules at the EC level, and the amount of autonomy exercised by EC negotiators contribute to explaining, this paper argues, whether the EC gains some external bargaining clout from its internal divisions and whether the final international agreement reflects the position of the median or the extreme countries in the Community. The Uruguay Round agricultural negotiations illustrate the consequences of the EC's institutional structure on its external bargaining capabilities. Negotiations between the EC and the U.S. were deadlocked for six years because the wide gap among the positions of the member states at the start of the Uruguay Round had prevented the EC from making sufficient concessions. The combination of a weakened unanimity rule and greater autonomy seized by Commission negotiators after the May 1992 reform of the Common Agricultural Policy made possible the conclusion of an EC-U.S. agricultural agreement. Although the majority of member states supported the Blair House agreement, the reinstating of the veto power in the EC and the tighter member states' control over the Commission eventually resulted in a renegotiation of the U.S.-EC agreement tilted in favor of France, the most recalcitrant country.
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Democratic theory tells us that competition between political parties fosters more responsive government by disciplining elected leaders. Yet party competition may not always attain the levels desirable for holding leaders accountable, notably at the sub-national level. This paper hypothesizes that variations in competition-induced accountability affect regional, or state, government behavior, and that this variation is reflected in citizen satisfaction with regional government performance. The hypothesis is confirmed using survey data from sixty-eight German state election studies. Specifically, a widening of the gap between the two main parties of each state is shown to affect subsequent individual-level satisfaction negatively. This finding presents a conjecture that should be generalizable to other countries with strong sub-national units.
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Mode of access: Internet.
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Bibliography: p. 285-298.
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Mode of access: Internet.
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Mode of access: Internet.
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Annual conference of the League of Oregon municipalities included.
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Mode of access: Internet.
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Includes a Supplemental roster of State officers, boards, and commissions including Federal boards and agencies operating in Ohio, for 1934.