A toolbox for hyperspectral image analysis

This paper introduces a new toolbox for hyperspectral imagery, developed under the MATLAB environment. This toolbox provides easy access to different supervised and unsupervised classification methods. This new application is also versatile and fully dynamic since the user can embody their own methods, that can be reused and shared. This toolbox, while extends the potentiality of MATLAB environment, it also provides a user-friendly platform to assess the results of different methodologies. In this paper it is also presented, under the new application, a study of several different supervised and unsupervised classification methods on real hyperspectral data.

Comuns: An Open-Data Provider, Explorer and Analytic Toolbox Based on FOSS

Contém resumo

Automatisierte Extraktion der Zustandsraummodelle von Bondgraphen in Matlab / Simulink : Entwicklung einer Toolbox zur Emulation von Bondgraphen in Matlab / Simulink mit automatisierter Extraktion der zugehörigen Zustandsraummodelle

Ziel der vorliegenden Arbeit ist die Emulation von Bondgraphen in Matlab / Simulink. Hierfür wurde eine Toolbox entwickelt, durch welche es möglich ist, Bondgraphen in Simulink zu modellieren und die darauf basierende Zustandsraumdarstellung des jeweiligen Graphen automatisiert zu ermitteln.Die vorliegende Arbeit beschreibt die Grapherstellung in Simulink mit Hilfe der entwickelten Toolbox und die Realisierung der in Matlab zugrundeliegenden mehrstufen Lösungsalgorithmen zur analytischen Ermittlung der Zustandsraummodelle sowie die Aufbereitung des Graphen und der internen Elementgleichungen. Des Weiteren werden zusätzlich die implementierten Mechanismen zur Korrektur uneindeutiger Lösungen im Fall von Kausalitätskonflikten und zur Verkettung gleichartiger Knoten erläutert.

A health inequalities toolbox

This is a collection of resources for measuring and monitoring health inequalities that is being developed by SEPHO. The resources include work undertaken in SEPHO, and signposts to other data sources, methods and expertise.

Toolbox to Address Safety and Operations on School Grounds and Public Streets Adjacent to Elementary and Middle Schools in Iowa, August 2006

This study identified transportation safety issues at existing Iowa school sites through on-site observations, traffic data collection, and through interviews with schools, law enforcement, and traffic engineers. Frequently observed problems, such as crossing at unmarked crosswalks, unloading and loading students on the street side, inattentive student safety patrols, and illegal parking, were documented and solutions were recommended for implementation. The results of the study also conclude that regular communications between school officials, traffic engineers, law enforcement, parents, and school transportation personnel are all critical to promoting safe operations within school zones.

Toolbox of Countermeasures to Reduce Red Light Running Final Report, April 2012

Red light running (RLR) is a problem in the US that has resulted in 165,000 injuries and 907 fatalities annually. In Iowa, RLR-related crashes make up 24.5 percent of all crashes and account for 31.7 percent of fatal and major injury crashes at signalized intersections. RLR crashes are a safety concern due to the increased likelihood of injury compared to other types of crashes. The research team developed this toolbox for practitioners to address RLR crashes. The Four Es—Engineering, Enforcement, Education, and Emergency Response—should be used together to address RLR problems. However, this toolbox focuses on engineering, enforcement, and education solutions. The toolbox has two major parts:  Guidelines to identify problem intersections and the causes of RLR at intersections  Roadway-based and enforcement countermeasures for RLR

Rural Expressway Intersection Safety Toolbox Desktop Reference, June 17, 2011

This document is intended to be a guide for planning-level decisions concerning safety issues and subsequent potential improvements at rural expressway intersections. It is NOT a design guide. It simply presents the gamut of safety treatment options and available strategies that have been employed in an attempt to reduce the number and severity of collisions at unsignalized rural expressway intersections.

Toolbox of Countermeasures for Rural Two-Lane Curves, June 2012

The Federal Highway Administration (FHWA) estimates that 58 percent of roadway fatalities are lane departures, while 40 percent of fatalities are single-vehicle run-off-road (SVROR) crashes. Addressing lane-departure crashes is therefore a priority for national, state, and local roadway agencies. Horizontal curves are of particular interest because they have been correlated with increased crash occurrence. This toolbox was developed to assist agencies address crashes at rural curves. The main objective of this toolbox is to summarize the effectiveness of various known curve countermeasures. While education, enforcement, and policy countermeasures should also be considered, they were not included given the toolbox focuses on roadway-based countermeasures. Furthermore, the toolbox is geared toward rural two-lane curves. The research team identified countermeasures based on their own research, through a survey of the literature, and through discussions with other professionals. Coverage of curve countermeasures in this toolbox is not necessarily comprehensive. For each countermeasure covered, this toolbox includes the following information: description, application, effectiveness, advantages, and disadvantages.

Speed Management Toolbox for Rural Communities, TR-630, 2012

The primary objective of this toolbox is to summarize various known traffic-calming treatments and their effectiveness. This toolbox focuses on roadway-based treatments for speed management, particularly for rural communities with transition zones. Education, enforcement, and policy strategies should also be considered, but are not the focus of this toolbox. The research team identified treatments based on their own research, a review of the literature, and discussion with other professionals. This toolbox describes each treatment and summarizes placement, advantages, disadvantages, effectiveness, appropriateness, and cost for each treatment. The categories of treatments covered in this toolbox are as follows: horizontal physical displacement, vertical physical displacement, narrowing, surroundings, pavement markings, traffic control signs, and other strategies. Separate 3- to 4-page Tech Briefs for various aspects of this toolbox are attached to this record: Center Islands with Raised Curbing for Rural Traffic Calming, Colored Entrance Treatments for Rural Traffic Calming, Dynamic Speed Feedback Signs for Rural Traffic Calming, Transverse Speed Bars for Rural Traffic Calming. This toolbox and the tech briefs are related to the report Evaluation of Low Cost Traffic Calming for Rural Communities – Phase II, which is also included in this record or can be found at http://publications.iowa.gov/id/eprint/14769

Toolbox of Countermeasures for Rural Two-Lane Curves [updated], TR-579, October 2013

The Federal Highway Administration (FHWA) estimates that 58 percent of roadway fatalities are lane departures, while 40 percent of fatalities are single-vehicle run-off-road (SVROR) crashes. Addressing lane-departure crashes is therefore a priority for national, state, and local roadway agencies. Horizontal curves are of particular interest because they have been correlated with increased crash occurrence. This toolbox was developed to assist agencies address crashes at rural curves. The main objective of this toolbox is to summarize the effectiveness of various known curve countermeasures. While education, enforcement, and policy countermeasures should also be considered, they were not included given the toolbox focuses on roadway-based countermeasures. Furthermore, the toolbox is geared toward rural two-lane curves. The research team identified countermeasures based on their own research, through a survey of the literature, and through discussions with other professionals. Coverage of curve countermeasures in this toolbox is not necessarily comprehensive. For each countermeasure covered, this toolbox includes the following information: description, application, effectiveness, advantages, and disadvantages.

Enhancing centralized enforcement of EU law : Pandora's toolbox ?

State compliance with EU Law is crucial to the very existence of the Union. Traditionally, it has been secured through a combination of strong "private" and of weak "centralized" enforcement. However, this arrangement is no longer perceived to be sufficient. By endowing the Union with new tools vis-à-vis its Member States - penalties, conditionality, and the like - current reforms try to complement symbolic sanctioning with real "consequences". The goal is to reinforce the authority of EU Law. In this article, we question whether the new toolbox is fit for the purpose, or whether it risks to produce adverse effects which might even go as far as upsetting the Union's constitutional template.

Bump time-frequency toolbox: a toolbox for time-frequency oscillatory bursts extraction in electrophysiological signals

Background: oscillatory activity, which can be separated in background and oscillatory burst pattern activities, is supposed to be representative of local synchronies of neural assemblies. Oscillatory burst events should consequently play a specific functional role, distinct from background EEG activity – especially for cognitive tasks (e.g. working memory tasks), binding mechanisms and perceptual dynamics (e.g. visual binding), or in clinical contexts (e.g. effects of brain disorders). However extracting oscillatory events in single trials, with a reliable and consistent method, is not a simple task. Results: in this work we propose a user-friendly stand-alone toolbox, which models in a reasonable time a bump time-frequency model from the wavelet representations of a set of signals. The software is provided with a Matlab toolbox which can compute wavelet representations before calling automatically the stand-alone application. Conclusion: The tool is publicly available as a freeware at the address: http:// www.bsp.brain.riken.jp/bumptoolbox/toolbox_home.html

Paperin pinnan karakterisoinnin ja painettavuuden tutkimusmenetelmät

Työn tarkoituksena on ollut tutkia paperin pinnan karakterisoinnin menetelmiä ja tehdä katsauspaperin painettavuuden ennustamisen tutkimuksiin. Kaikkien kehitettyjen menetelmien tarkoituksena on tavalla tai toisella mitata paperin visuaalista vaikutelmaa loppukäyttäjän kannalta sekä ennustaa paperin painettavuutta. Menetelmiä on kehitetty aina 1940-luvulta lähtien ja tekniikan kehittyessä markkinoille tulee uusia menetelmiä, jotka ovat nopeampia ja tarkempia kuin edeltäjänsä. Työssä tarkasteltavat menetelmät on jaoteltu mekaanisiin, optisiin ja elektronisäteilyn läpäisyyn perustuviin menetelmiin. Lopuksi on tarkasteltu tutkimuksia, joiden pääasiallinen tarkoitus on ollut kehittää mittalaitteita ennustamaan paperin painotulosta todellisissa painatusolosuhteissa. Laboratoriolaitteita ja on-line-mittareita ei ole jaoteltu erikseen, koska menetelmän perusteella on helppo havaita, voiko laite mitata jotakin paperin ominaisuutta jopa yli 40 metriä sekunnissa liikkuvalla paperirainalla.

Computational toolbox towards evolutionary domain mapping of membrane proteins

Membrane proteins account for about 20% to 30% of all proteins encoded in a typical genome. They play central roles in multiple cellular processes mediating the interaction of the cell with its surrounding. Over 60% of all drug targets contain a membrane domain. The experimental difficulties of obtaining a crystal structural severely limits our ability or understanding of membrane protein function. Computational evolutionary studies of proteins are crucial for the prediction of 3D structures. In this project, we construct a tool able to quantify the evolutionary positive selective pressure on each residue of membrane proteins through maximum likelihood phylogeny reconstruction. The conservation plot combined with a structural homology model is also a potent tool to predict those residues that have essentials roles in the structure and function of a membrane protein and can be very useful in the design of validation experiments.