Innovation in public services: the case of Spanish local government

The present paper aims to determine the level of implementation of innovations in Spanish local government as well as to identify which types of innovations are most common. The paper also considers the link between innovative behavior and organizational size. However, since innovations cannot occur as isolated phenomena but rather as a part of corporate strategy, the study compares the innovative behavior of the local governments analyzed with their typologies or strategic profiles. In order to achieve the aforementioned aims, the paper uses a survey of the Human Resource Managers of Town Halls in the largest Spanish municipalities. The results of this survey show that the most frequent innovations in the local governments analyzed are collaborative; the largest town halls show more propensities to innovate and they focus on external relationships which are collaborative and on the basis on Information and Communication Technologies. The study reconfirms that town halls with a prospective profile are the most innovative.

COMPENDIUM: A text summarization system for generating abstracts of research papers

This article analyzes the appropriateness of a text summarization system, COMPENDIUM, for generating abstracts of biomedical papers. Two approaches are suggested: an extractive (COMPENDIUM E), which only selects and extracts the most relevant sentences of the documents, and an abstractive-oriented one (COMPENDIUM E–A), thus facing also the challenge of abstractive summarization. This novel strategy combines extractive information, with some pieces of information of the article that have been previously compressed or fused. Specifically, in this article, we want to study: i) whether COMPENDIUM produces good summaries in the biomedical domain; ii) which summarization approach is more suitable; and iii) the opinion of real users towards automatic summaries. Therefore, two types of evaluation were performed: quantitative and qualitative, for evaluating both the information contained in the summaries, as well as the user satisfaction. Results show that extractive and abstractive-oriented summaries perform similarly as far as the information they contain, so both approaches are able to keep the relevant information of the source documents, but the latter is more appropriate from a human perspective, when a user satisfaction assessment is carried out. This also confirms the suitability of our suggested approach for generating summaries following an abstractive-oriented paradigm.

Real-time 3D semi-local surface patch extraction using GPGPU

Feature vectors can be anything from simple surface normals to more complex feature descriptors. Feature extraction is important to solve various computer vision problems: e.g. registration, object recognition and scene understanding. Most of these techniques cannot be computed online due to their complexity and the context where they are applied. Therefore, computing these features in real-time for many points in the scene is impossible. In this work, a hardware-based implementation of 3D feature extraction and 3D object recognition is proposed to accelerate these methods and therefore the entire pipeline of RGBD based computer vision systems where such features are typically used. The use of a GPU as a general purpose processor can achieve considerable speed-ups compared with a CPU implementation. In this work, advantageous results are obtained using the GPU to accelerate the computation of a 3D descriptor based on the calculation of 3D semi-local surface patches of partial views. This allows descriptor computation at several points of a scene in real-time. Benefits of the accelerated descriptor have been demonstrated in object recognition tasks. Source code will be made publicly available as contribution to the Open Source Point Cloud Library.

Real time motion estimation using a neural architecture implemented on GPUs

This work describes a neural network based architecture that represents and estimates object motion in videos. This architecture addresses multiple computer vision tasks such as image segmentation, object representation or characterization, motion analysis and tracking. The use of a neural network architecture allows for the simultaneous estimation of global and local motion and the representation of deformable objects. This architecture also avoids the problem of finding corresponding features while tracking moving objects. Due to the parallel nature of neural networks, the architecture has been implemented on GPUs that allows the system to meet a set of requirements such as: time constraints management, robustness, high processing speed and re-configurability. Experiments are presented that demonstrate the validity of our architecture to solve problems of mobile agents tracking and motion analysis.

Translation of Littleton's tenures

Contains an English translation of Littleton's Tenures ss. 1-444. Apparently owned later by an American who made several entries citing quotes from Benjamin Franklin and others.

Map of the town of Petersham, Worcester County, Massachusetts

from actual survey by E .M. Woodford.

Boston, Massachusetts, 1797 (Image 4 of 4) (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: An accurate plan of the town of Boston and its vicinity : exhibiting a ground plan of all the streets, lanes, alleys, wharves, and public buildings in Boston, with the names and description thereof, likewise all the flats and channels between Boston and Charlestown, Cambridge, Roxbury & Dorchester with the two bridges and causeway, and the boundary lines beween Boston and the above mentioned towns from ... by Osgood Carleton ; I. Norman, sc. It was published and sold by Osgood Carleton in 1797. Scale [ca. 1:4,170]. This layer is image 4 of 4 total images, representing the southeast portion of the four sheet source map. 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, index maps, legends, or other information associated with the principal map. This map shows features such as roads, drainage, selected public buildings, city ward boundaries, wharves, and more. Relief shown by hachures.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.

Boston, Massachusetts, 1797 (Image 3 of 4) (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: An accurate plan of the town of Boston and its vicinity : exhibiting a ground plan of all the streets, lanes, alleys, wharves, and public buildings in Boston, with the names and description thereof, likewise all the flats and channels between Boston and Charlestown, Cambridge, Roxbury & Dorchester with the two bridges and causeway, and the boundary lines beween Boston and the above mentioned towns from ... by Osgood Carleton ; I. Norman, sc. It was published and sold by Osgood Carleton in 1797. Scale [ca. 1:4,170]. This layer is image 3 of 4 total images, representing the southwest portion of the four sheet source map. 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, index maps, legends, or other information associated with the principal map. This map shows features such as roads, drainage, selected public buildings, city ward boundaries, wharves, and more. Relief shown by hachures.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.

Boston, Massachusetts, 1797 (Image 1 of 4) (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: An accurate plan of the town of Boston and its vicinity : exhibiting a ground plan of all the streets, lanes, alleys, wharves, and public buildings in Boston, with the names and description thereof, likewise all the flats and channels between Boston and Charlestown, Cambridge, Roxbury & Dorchester with the two bridges and causeway, and the boundary lines beween Boston and the above mentioned towns from ... by Osgood Carleton ; I. Norman, sc. It was published and sold by Osgood Carleton in 1797. Scale [ca. 1:4,170]. This layer is image 1 of 4 total images, representing the northwest portion of the four sheet source map. 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, index maps, legends, or other information associated with the principal map. This map shows features such as roads, drainage, selected public buildings, city ward boundaries, wharves, and more. Relief shown by hachures.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.

Boston, Massachusetts, 1797 (Image 2 of 4) (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: An accurate plan of the town of Boston and its vicinity : exhibiting a ground plan of all the streets, lanes, alleys, wharves, and public buildings in Boston, with the names and description thereof, likewise all the flats and channels between Boston and Charlestown, Cambridge, Roxbury & Dorchester with the two bridges and causeway, and the boundary lines beween Boston and the above mentioned towns from ... by Osgood Carleton ; I. Norman, sc. It was published and sold by Osgood Carleton in 1797. Scale [ca. 1:4,170]. This layer is image 2 of 4 total images, representing the northeast portion of the four sheet source map. 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, index maps, legends, or other information associated with the principal map. This map shows features such as roads, drainage, selected public buildings, city ward boundaries, wharves, and more. Relief shown by hachures.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.

Birds eye view of trolley routes in New England, 1904 (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Trolley wayfinder, birds eye view of trolley routes in New England, published by the New England Street Railway Club, 1904. This is a perspective map not drawn to scale. Covers eastern portion of New England from Lewiston, Maine, to Newport, Rhode Island. 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 steam railroads, electric railroads, parks, buildings, drainage, and more. Relief and some features are shown pictorially. Includes 7 insets. 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.

Penobscot County, Maine, 1859 (Image 1 of 2) (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Topographical map of the county of Penobscot Maine, from surveys under the direction of H.F. Walling; field work under the direction of L.H. Eaton. It was published by Lee & Marsh in 1859, Scale 1:80,000. This layer is image 1 of 2 total images, representing the southwest portion of the four sheet source map. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator projection (UTM Zone 19N, meters, NAD1983). 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, index maps, legends, 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 with names of property owners, town boundaries, and more. Relief shown by hachures. It includes many cadastral insets of individual county towns and villages. It also includes illustrations, business directories, and tables of statistics and distances.This layer is part of a selection of digitally scanned and georeferenced historic maps of New England 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, scales, and map purposes.

Penobscot County, Maine, 1859 (Image 2 of 2) (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Topographical map of the county of Penobscot Maine, from surveys under the direction of H.F. Walling; field work under the direction of L.H. Eaton. It was published by Lee & Marsh in 1859, Scale 1:80,000. This layer is image 2 of 2 total images, representing the northeast portion of the four sheet source map. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator projection (UTM Zone 19N, meters, NAD1983). 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, index maps, legends, 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 with names of property owners, town boundaries, and more. Relief shown by hachures. It includes many cadastral insets of individual county towns and villages. It also includes illustrations, business directories, and tables of statistics and distances.This layer is part of a selection of digitally scanned and georeferenced historic maps of New England 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, scales, and map purposes.

Piscataquis County, Maine, 1858 (Image 1 of 2) (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Map of Piscataquis County Maine, from surveys under the direction of H. F. Walling; field notes under the direction of L. H. Eaton Esq. civil engineer. It was published by Lee & Marsh in 1858. Scale [ca 1:63,360]. This layer is image 1 of 2 total images, representing the northeast portion of the four sheet source map. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator projection (UTM Zone 19N, meters, NAD1983). 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, index maps, legends, 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 with names of property owners, town boundaries, and more. Relief shown by hachures. It includes many cadastral insets of individual county towns and villages. It also includes illustrations, business directories, and tables of statistics and distances.This layer is part of a selection of digitally scanned and georeferenced historic maps of New England 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, scales, and map purposes.

Piscataquis County, Maine, 1858 (Image 2 of 2) (Raster Image)

This layer is a georeferenced raster image of the historic paper map entitled: Map of Piscataquis County Maine, from surveys under the direction of H. F. Walling; field notes under the direction of L. H. Eaton Esq. civil engineer. It was published by Lee & Marsh in 1858. Scale [ca 1:63,360]. This layer is image 2 of 2 total images, representing the northwest portion of the four sheet source map. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Universal Transverse Mercator projection (UTM Zone 19N, meters, NAD1983). 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, index maps, legends, 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 with names of property owners, town boundaries, and more. Relief shown by hachures. It includes many cadastral insets of individual county towns and villages. It also includes illustrations, business directories, and tables of statistics and distances.This layer is part of a selection of digitally scanned and georeferenced historic maps of New England 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, scales, and map purposes.