11,659 research outputs found

    A hyprid technique for human footprint recognition

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    Biometrics has concerned a great care recently due to its important in the life that starts from civil applications to security and recently terrorism. A Footprint recognition is one of the personal identifications based on biometric measurements.  The aim of this research is to design a proper and reliable biometric system for human footprint recognition named (FRBS) that stands for Footprint Recognition Biometric System. In addition, to construct a human footprint database which it is very helpful for various use in scientific application e.g. for authentication. There exist many biometrics databases for other identity but very rare for footprint. As well as the existing one are very limited. This paper presents a robust hyprid techniques which merges between Image Processing with Artificial Intelligent technique via Ant Colony Optimization (ACO) to recognize human footprint.  (ACO) plays the essential role that rise the performance and the quality of the results in the biometric system via feature selection. The set of the selected features was treated as exploratory information, and selects the optimum feature set in standings of feature set size. Life RGB footprint images from nine persons with ten images per person constructed from life visual dataset. At first, the visual dataset was pre-processed operations. Each resultant image detects footprint that is cropped to portions represented by three blocks. The first block is for fingers, the second block refers to the center of the foot and the last one determines the heel. Then features were extracted from each image and stored in Excel file to be entered to Ant Colony Optimization Algorithm. The experimental outcomes of the system show that the proposed algorithm evaluates optimal results with smaller feature set comparing with other algorithms. Experimental outcomes show that our algorithm obtains an efficient and accurate result about 100% accuracy in comparison with other researches on the same field

    Privacy-Constrained Biometric System for Non-cooperative Users

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    With the consolidation of the new data protection regulation paradigm for each individual within the European Union (EU), major biometric technologies are now confronted with many concerns related to user privacy in biometric deployments. When individual biometrics are disclosed, the sensitive information about his/her personal data such as financial or health are at high risk of being misused or compromised. This issue can be escalated considerably over scenarios of non-cooperative users, such as elderly people residing in care homes, with their inability to interact conveniently and securely with the biometric system. The primary goal of this study is to design a novel database to investigate the problem of automatic people recognition under privacy constraints. To do so, the collected data-set contains the subject's hand and foot traits and excludes the face biometrics of individuals in order to protect their privacy. We carried out extensive simulations using different baseline methods, including deep learning. Simulation results show that, with the spatial features extracted from the subject sequence in both individual hand or foot videos, state-of-the-art deep models provide promising recognition performance

    Quiet Supersonic Flights 2018 (QSF18) Test: Galveston, Texas Risk Reduction for Future Community Testing with a Low-Boom Flight Demonstration Vehicle

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    The Quiet Supersonic Flights 2018 (QSF18) Program was designed to develop tools and methods for demonstration of overland supersonic flight with an acceptable sonic boom, and collect a large dataset of responses from a representative sample of the population. Phase 1 provided the basis for a low amplitude sonic boom testing in six different climate regions that will enable international regulatory agencies to draft a noise-based standard for certifying civilian supersonic overland flight. Phase 2 successfully executed a large scale test in Galveston, Texas, developed well documented data sets, calculated dose response relationships, yielded lessons, and identified future risk reduction activities

    Energy assessment in early architectural design stages : framework and validation methodology for architect-friendly computacional energy assessment

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    Today’s buildings are responsible for about 40% of the global energy demand. To reduce energy consumption by using Energy Assessment (EA) methods, the Early Architectural Design Stages (EADS) are especially suitable to implement the best cost-benefit measures. To integrate EA into EADS, two main challenges must be simultaneously tackled: (a) the architect-(un)friendliness of computational models and (b) the results’ reliability. To accomplish both goals a Framework for Energy Assessment Tools in Early Architectural Design Stages (FORwArDS) and a validation methodology, Relative Validation (RV), is presented. FORwArDS feature three components: Input Model, Assessment Model, and Output Model, but focuses on the creation of a Simplified Input Model (SIM) throughout parameters reduction, the creation of alternative values for the chosen parameters and exemplary mathematical and geometrical simplification steps. In the case study, a SIM is created according to the exemplary simplification rules described in FORwArDS, springing from a detailed project model; a validation procedure follows the proposed methodology. The results are presented, analyzed and conclusions are drawn regarding the framework’s and validation methodology’s contributions to the improvement of the EADS. The framework’s open structure and the applicability of the validation methodology to any simulation contribute to the discussion about the integration problems of energy assessment in EADS and present useful tools for the creation and test of model simplification methodologies and EA for architects during EADS.Edifícios são responsáveis por cerca de 40% da demanda global de energia. Para reduzir este consumo utilizando métodos de avaliação de energia (Energy Assessment – EA), as primeiras etapas de projeto arquitetônico (Early Architectural Design Stages – EADS) são especialmente adequadas para implementar medidas eficientes com a melhor relação custo-benefício. Para integrar a EA na EADS, dois desafios principais devem ser abordados simultaneamente: (a) a (não-)amigabilidade para arquitetos dos modelos computacionais e (b) a confiabilidade dos resultados. Para realizar ambos os objetivos, é apresentado neste trabalho um ambiente para o desenvolvimento de ferramentas de aferição de energia em EADS (Framework for Energy Assessment Tools in Early Architectural Design Stages –FORwArDS) e uma metodologia de validação, a validação relativa (Relative Validation – RV). FORwArDS possui três componentes: o modelo de entrada, o modelo de avaliação e o modelo de saída, mas o trabalho concentra-se na criação de um modelo de entrada simplificado (Simplified Input Model – SIM) através da redução de parâmetros, da criação de valores alternativos para os parâmetros escolhidos e, por fim, passos de simplificação matemática e geométrica. A estrutura aberta do ambiente permite uma ampla variedade de aplicações em pesquisa, prática e educação. A metodologia de validação proposta baseia-se no conceito de que a contextualização dos resultados obtidos representa a mais importante contribuição para a orientação de projeto no EADS. Este trabalho confronta pares de resultados, representando a mudança de projetos arquitetônicos similares originados em dois modelos de entrada diferentes, visando avaliar a precisão de seus correspondentes. No estudo de caso, um SIM, proveniente de um modelo de projeto detalhado, é criado de acordo com as regras de simplificação descritas no FORwARrDS. Os resultados são apresentados e analisados permitindo conclusões sobre as principais contribuições deste trabalho. O trabalho apresenta uma ferramenta útil para o desenvolvimento de metodologias de simplificação de modelos e EA para arquitetos durante EADS

    WeighstEd

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    The purpose of this design thesis is to outline and describe the design project; WeighstEd. WeighstEd, is a data collection, storage, and analysis system for food waste to help Santa Clara University’s Sustainability Center reach a quantifiable food waste reduction goal of 10% by 2020 by using data to make informed cafeteria changes. The report will outline the entire engineering design process from ideation to manufacture including analysis techniques and benchmark testing. This report will serve as a written documentation of three mechanical engineers Senior Design Project completed at Santa Clara University. WeighstEd will be implemented at on campus events and in the university cafeteria beginning in the 2019-2020 school year

    An overview of virtual city modelling : emerging organisational issues

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    This paper presents a recent overview of the increasing use of Virtual Reality (VR) technologies for the simulation of urban environments. It builds on previous research conducted on the identification of three-dimensional (3D) city models and offers an analysis of the development, utilization and construction of VR city models. Issues pertaining to advantages, barriers and ownership are identified. The paper describes a case study of the development of a VR model for the city of Newcastle upon Tyne in the UK and outlines the role that academic institutions can play in both the creation and utilization of urban models. The study offers a new approach for the creation, management and update of urban models and reflects on issues which are emerging. Areas for future research are discussed

    NASA sea ice and snow validation plan for the Defense Meteorological Satellite Program special sensor microwave/imager

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    This document addresses the task of developing and executing a plan for validating the algorithm used for initial processing of sea ice data from the Special Sensor Microwave/Imager (SSMI). The document outlines a plan for monitoring the performance of the SSMI, for validating the derived sea ice parameters, and for providing quality data products before distribution to the research community. Because of recent advances in the application of passive microwave remote sensing to snow cover on land, the validation of snow algorithms is also addressed
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