Local wavelet features for statistical object classification and localisation

This article presents a system for texture-based probabilistic classification and localisation of 3D objects in 2D digital images and discusses selected applications. The objects are described by local feature vectors computed using the wavelet transform. In the training phase, object features are statistically modelled as normal density functions. In the recognition phase, a maximisation algorithm compares the learned density functions with the feature vectors extracted from a real scene and yields the classes and poses of objects found in it. Experiments carried out on a real dataset of over 40000 images demonstrate the robustness of the system in terms of classification and localisation accuracy. Finally, two important application scenarios are discussed, namely classification of museum artefacts and classification of metallography images

Challenges in public housing provision in the post independence era in Nigeria

This study investigated the contextual and organizational challenges in public housing provision in Nigeria in the post independence era. It was motivated by dearth of empirical studies on organizational challenges in public housing in this country. Using data derived from a survey of fifteen public housing agencies in southern Nigeria, the study found that scarcity of housing finance, lack of consistency and continuity in housing policy formulation and poor implementation strategies, unfavorable political environment and declining population of tradesmen in the construction industry were key contextual challenges militating against public housing provision. In addition, low level of inter-agencies collaborations, poor staff motivation and rewarding system as well as inadequate operational equipment and vehicles were responsible for the inability of public housing agencies to deliver on their housing mandate in the study area. The paper suggests that stable polity, consistency in housing policies and programs and capacity building in public housing agencies through public-private partnerships are needed to improve on the quantity and quality of public housing in Nigeri

An Adaptive Semi-Parametric and Context-Based Approach to Unsupervised Change Detection in Multitemporal Remote-Sensing Images

In this paper, a novel automatic approach to the unsupervised identification of changes in multitemporal remote-sensing images is proposed. This approach, unlike classical ones, is based on the formulation of the unsupervised change-detection problem in terms of the Bayesian decision theory. In this context, an adaptive semi-parametric technique for the unsupervised estimation of the statistical terms associated with the gray levels of changed and unchanged pixels in a difference image is presented. Such a technique exploits the effectivenesses of two theoretically well-founded estimation procedures: the reduced Parzen estimate (RPE) procedure and the expectation-maximization (EM) algorithm. Then, thanks to the resulting estimates and to a Markov Random Field (MRF) approach used to model the spatial-contextual information contained in the multitemporal images considered, a change detection map is generated. The adaptive semi-parametric nature of the proposed technique allows its application to different kinds of remote-sensing images. Experimental results, obtained on two sets of multitemporal remote-sensing images acquired by two different sensors, confirm the validity of the proposed approach

Review article of recent literature on the Democratic Republic of Congo. (Nzongola-Ntalaja: The Congo from Leopold to Kabila, Trefon (ed): Reinventing Order in the Congo, and Clark (ed): The African Stakes of the Congo War)

By survival in conditions that are murderous, by evading forms of control and de-linking from the system, people in Congo ultimately limit the reach of the power imposed on them. They have to a great extent isolated, and to a lesser degree diminished, the leadership of Congo and the power of the invaders. The forms of economic survival dispute authority by depriving the state (or predatory nonstate actors) of revenue, whilst maximising the opportunities for survival irrespective of – and in defiance of – the coercion to which people are exposed. The violent regimes in Congo have broken the country to the extent that they were able, but the fact that they cannot break it all attests to the resistance against them: for the powerful, as for the powerless, there may be a will, but there has been no way to achieve it completely

Metacognitive knowledge, metacognitive strategies, and CALL

CALL Research Perspectives creates a foundation for the study and practice of computer-assisted language learning and provides an overview of ways to conceptualize and to conduct research in CALL. Its core assumptions are that all approaches to research have a place, and that researchers, teachers, and students all have a role to play in the study of computer-enhanced language learning. This is not a how-to-do-research text. Written by top researchers in the field, it offers an open-ended view of what educators need to know and be able to do to answer questions that they have. It is intended to be easy to read, to provide resources for readers to explore the ideas further, and to be non-prescriptive in presenting suggestions for CALL research. The text explores problems with current CALL research and suggests ways that teachers and other researchers can avoid such problems; presents both commonly known and less explored theories that provide a foundation for CALL and language research; and addresses other issues and ideas that affect research outcomes

Internationalization strategies of companies in the wine industry in Portugal – context, forms of action and performance.

This research project aims to analyze the competitive environment of companies in the wine sector in Portugal and assess the implications in the development of contingent strategic guidelines and different performances.Proposes to apply the methodological framework the IKST – Integrated Key for Strategic Thought for international expansion. The research was carried out at two levels: at a preliminary level – a general characterisation was made of the companies as to their resources, and at a central level – the examination of the strategic aspect of the companies was carried out. The research involved the collection of primary data (survey of 164 companies in the sector) and secondary data (from documentary nature). Explores the strategic aspect, analyzing the sector in terms of global and national context, in order to design a diagnostic context of action, using the models of PEST and 5 Forces. Identifies, based on various statistical techniques, the adopted style of strategic thought and the profile in terms of contextual variables, as well as the underlying economic performance

Elicitation and representation of expert knowledge for computer aided diagnosis in mammography

To study how professional radiologists describe, interpret and make decisions about micro-calcifications in mammograms. The purpose was to develop a model of the radiologists' decision making for use in CADMIUM II, a computerized aid for mammogram interpretation that combines symbolic reasoning with image processing

Vision systems with the human in the loop

The emerging cognitive vision paradigm deals with vision systems that apply machine learning and automatic reasoning in order to learn from what they perceive. Cognitive vision systems can rate the relevance and consistency of newly acquired knowledge, they can adapt to their environment and thus will exhibit high robustness. This contribution presents vision systems that aim at flexibility and robustness. One is tailored for content-based image retrieval, the others are cognitive vision systems that constitute prototypes of visual active memories which evaluate, gather, and integrate contextual knowledge for visual analysis. All three systems are designed to interact with human users. After we will have discussed adaptive content-based image retrieval and object and action recognition in an office environment, the issue of assessing cognitive systems will be raised. Experiences from psychologically evaluated human-machine interactions will be reported and the promising potential of psychologically-based usability experiments will be stressed

ATM automation: guidance on human technology integration

© Civil Aviation Authority 2016Human interaction with technology and automation is a key area of interest to industry and safety regulators alike. In February 2014, a joint CAA/industry workshop considered perspectives on present and future implementation of advanced automated systems. The conclusion was that whilst no additional regulation was necessary, guidance material for industry and regulators was required. Development of this guidance document was completed in 2015 by a working group consisting of CAA, UK industry, academia and industry associations (see Appendix B). This enabled a collaborative approach to be taken, and for regulatory, industry, and workforce perspectives to be collectively considered and addressed. The processes used in developing this guidance included: review of the themes identified from the February 2014 CAA/industry workshop1; review of academic papers, textbooks on automation, incidents and accidents involving automation; identification of key safety issues associated with automated systems; analysis of current and emerging ATM regulatory requirements and guidance material; presentation of emerging findings for critical review at UK and European aviation safety conferences. In December 2015, a workshop of senior management from project partner organisations reviewed the findings and proposals. EASA were briefed on the project before its commencement, and Eurocontrol contributed through membership of the Working Group.Final Published versio