A Novel Prediction Method for Early Recognition of Global Human Behaviour in Image Sequences

Human behaviour recognition has been, and still remains, a challenging problem that involves different areas of computational intelligence. The automated understanding of people activities from video sequences is an open research topic in which the computer vision and pattern recognition areas have made big efforts. In this paper, the problem is studied from a prediction point of view. We propose a novel method able to early detect behaviour using a small portion of the input, in addition to the capabilities of it to predict behaviour from new inputs. Specifically, we propose a predictive method based on a simple representation of trajectories of a person in the scene which allows a high level understanding of the global human behaviour. The representation of the trajectory is used as a descriptor of the activity of the individual. The descriptors are used as a cue of a classification stage for pattern recognition purposes. Classifiers are trained using the trajectory representation of the complete sequence. However, partial sequences are processed to evaluate the early prediction capabilities having a specific observation time of the scene. The experiments have been carried out using the three different dataset of the CAVIAR database taken into account the behaviour of an individual. Additionally, different classic classifiers have been used for experimentation in order to evaluate the robustness of the proposal. Results confirm the high accuracy of the proposal on the early recognition of people behaviours.

Documentation

In order to become better prepared to support Research Data Management (RDM) practices in sciences and engineering, Queen’s University Library, together with the University Research Services, conducted a research study of all ranks of faculty members, as well as postdoctoral fellows and graduate students at the Faculty of Engineering & Applied Science, Departments of Chemistry, Computer Science, Geological Sciences and Geological Engineering, Mathematics and Statistics, Physics, Engineering Physics & Astronomy, School of Environmental Studies, and Geography & Planning in the Faculty of Arts and Science.

A software tool for accurate assessment of costs and CO2 emissions in wood transport using OpenStreetMap©

Costs and environmental impacts are key elements in forest logistics and they must be integrated in forest decision-making. The evaluation of transportation fuel costs and carbon emissions depend on spatial and non-spatial data but in many cases the former type of data are dicult to obtain. On the other hand, the availability of software tools to evaluate transportation fuel consumption as well as costs and emissions of carbon dioxide is limited. We developed a software tool that combines two empirically validated models of truck transportation using Digital Elevation Model (DEM) data and an open spatial data tool, specically OpenStreetMap©. The tool generates tabular data and spatial outputs (maps) with information regarding fuel consumption, cost and CO2 emissions for four types of trucks. It also generates maps of the distribution of transport performance indicators (relation between beeline and real road distances). These outputs can be easily included in forest decision-making support systems. Finally, in this work we applied the tool in a particular case of forest logistics in north-eastern Portugal

A transição entre a educação de infância e o 1º ciclo do ensino básico

Relatório de estágio, apresentado para a obtenção do grau de Mestre na área de educação de infância e ensino do 1º ciclo do ensino básico

Application of the Hidden Markov Model for Innovative Projects "Viability" Analysis

This master thesis deals with determining of innovative projects "viability". "Viability" is the probability of innovative project being implemented. Hidden Markov Models are used for evaluation of this factor. The problem of determining parameters of model, which produce given data sequence with the highest probability, are solving in this research. Data about innovative projects contained in reports of Russian programs "UMNIK", "START" and additional data obtained during study are used as input data for determining of model parameters. The Baum-Welch algorithm which is one implementation of expectation-maximization algorithm is used at this research for calculating model parameters. At the end part of the master thesis mathematical basics for practical implementation are given (in particular mathematical description of the algorithm and implementation methods for Markov models).

ISR, Rensis Likert, December 1961

Caption info from NIS: ISR in its 16th year has its own nationwide survey team of professional interviewers. Dr. Rensis Likert ISR Director seeks out research data in a bank of filing cabinets containing two million punch cards, less than a year's supply for ISR

ISR, Rensis Likert, December 1961

Caption info from NIS: ISR in its 16th year has its own nationwide survey team of professional interviewers. Dr. Rensis Likert ISR Director seeks out research data in a bank of filing cabinets containing two million punch cards, less than a year's supply for ISR

Selected abstracts on intra-arterial chemotherapy in cancer treatment /

Includes indexes.

Directory of cancer related information resources : (review version) /

Sponsored by NIH/NCI contract N01-CO-35403.

The early records of the town of Providence. Printed under authority of the City council /

Editors: v. 1-10, Horatio Rogers, G.M. Carpenter, Edward Field.--v. 11-17, Horatio Rogers, Edward Field.--v. 18, Edward Field.--v. 19, W.E. Clarke, D.F. Hayden, W.G. Brennen.--v. 20, W.E. Clarke.--v. 21, W.C. Pelkey.

Special listing.

Description based on: NCI/ICRDB/SL-332.

Farm products in industry,

"Based on a survey which the author made during the winter of 1927-28 for Hon. W.M. Jardine, United States secretary of agriculture, of research data in Washington and elsewhere which have a bearing on the industrial utilization of farm products."--Pref.

Liderança, qualidade de troca social em equipes de trabalho e o comprometimento organizacional: um estudo com peacekeepers brasileiros no Haiti

Este trabalho apresenta o resultado de cinco estudos teóricos e empíricos embasados nas teorias de trocas sociais entre Líder-liderados (leader-member exchange), nas trocas sociais entre integrantes de equipes (team-member exchange) e no comprometimento organizacional, realizados nos anos de 2012 e 2013. A pesquisa empírica investigou a liderança, o comprometimento organizacional e o trabalho em equipe, mediante a participação voluntária de militares do Exército Brasileiro, dentre os quais se destacam aqueles que integraram a Missão de Paz para Estabilização do HAITI (MINUSTAH). Os dados da pesquisa foram coletados mediante o emprego de entrevistas individuais, realização de grupos focais (focus group) e aplicação de surveys pela internet. Os resultados dos estudos qualitativos indicaram a relevância da qualidade das trocas sociais entre líderes e liderados e do comprometimento organizacional para o trabalho desenvolvido na Missão de Paz para Estabilização do HAITI (MINUSTAH). Os estudos quantitativos indicaram o papel mediador do componente afetivo do comprometimento organizacional na relação entre a qualidade de trocas líder-liderado e a qualidade de trocas sociais em equipes. Análises comparativas identificaram diferenças no padrão de qualidade das trocas sociais estabelecidas entre líderes e liderados, entre os diferentes níveis hierárquicos e entre os militares que atuaram ou não na MINUSTAH. Verificou-se, ainda, que níveis mais elevados na qualidade de trocas sociais estabelecidas entre líderes e liderados e em equipes de trabalho estão associados a níveis mais elevados do componente afetivo de comprometimento organizacional. Estima-se que o presente estudo possa contribuir para o avanço de pesquisas sobre liderança e trocas sociais, além de subsidiar o aperfeiçoamento de programas de ensino, de treinamento e de fomento a pesquisas científicas, que possam favorecer as relações civis-militares no contexto brasileiro.

National audit of post-operative management in spinal surgery

Background: There is some evidence from a Cochrane review that rehabilitation following spinal surgery may be beneficial. Methods: We conducted a survey of current post-operative practice amongst spinal surgeons in the United Kingdom in 2002 to determine whether such interventions are being included routinely in the post-operative management of spinal patients. The survey included all surgeons who were members of either the British Association of Spinal Surgeons ( BASS) or the Society for Back Pain Research. Data on the characteristics of each surgeon and his or her current pattern of practice and post-operative care were collected via a reply-paid postal questionnaire. Results: Usable responses were provided by 57% of the 89 surgeons included in the survey. Most surgeons (79%) had a routine post-operative management regime, but only 35% had a written set of instructions that they gave to their patients concerning this. Over half (55%) of surgeons do not send their patients for any physiotherapy after discharge, with an average of less than two sessions of treatment organised by those that refer for physiotherapy at all. Restrictions on lifting, sitting and driving showed considerable inconsistency both between surgeons and also within the recommendations given by individual surgeons. Conclusion: Demonstrable inconsistencies within and between spinal surgeons in their approaches to post-operative management can be interpreted as evidence of continuing and significant uncertainty across the sub-speciality as to what does constitute best care in these areas of practice. Conducting further large, rigorous, randomised controlled trials would be the best method for obtaining definitive answers to these questions.

'Seeing the market': Technical analysis in trading styles

Whilst financial markets are not strangers to academic and professional scrutiny, they still remain epistemologically contested. For individuals trying to profit by trading shares, this uncertainty is manifested in the varying trading styles which they are able to utilize. This paper examines one trading style commonly used by non-professional share traders-technical analysis. Using research data obtained from individuals who identify themselves as technical analysts, this paper seeks to explain the ways in which individuals understand and use the technique in an attempt to make trading profits. In particular, four distinct subcategories or ideal types of technical analysis can be identified, each providing an alternative perceptual form for participating in financial markets. Each of these types relies upon a particular method for seeing the market, these visualization techniques highlighting the existence of forms of professional vision (as originally identified by Goodwin (1994)) in the way the trading styles are comprehended and acted upon.