Application of Hydroinformatic Tools for Reservoirs Discharges Rules Assessment During a Flood Event
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Applications of Digital Image Processing in Real Time World
INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 8, ISSUE 12, DECEMBER 2019 ISSN 2277-8616 Applications Of Digital Image Processing In Real Time World B.Sridhar Abstract :-- Digital contents are the essential kind of analyzing, information perceived and which are explained by the human brain. In our brain, one third of the cortical area is focused only to visual information processing. Digital image processing permits the expandable values of different algorithms to be given to the input section and prevent the problems of noise and distortion during the image processing. Hence it deserves more advantages than analog based image processing. Index Terms:-- Agriculture, Biomedical imaging, Face recognition, image enhancement, Multimedia Security, Authentication —————————— —————————— 2 REAL TIME APPLICATIONS OF IMAGE PROCESSING 1 INTRODUCTION This chapter reviews the recent advances in image Digital image processing is dependably a catching the processing techniques for various applications, which more attention field and it freely transfer the upgraded include agriculture, multimedia security, Remote sensing, multimedia data for human understanding and analyzing Computer vision, Medical applications, Biometric of image information for capacity, transmission, and verification, etc,. representation for machine perception[1]. Generally, the stages of investigation of digital image can be followed 2.1 Agriculture and the workflow statement of the digital image In the present situation, due to the huge density of population, gives the horrible results of demand of food, processing (DIP) is displayed in Figure 1. diminishments in agricultural land, environmental variation and the political instability, the agriculture industries are trying to find the new solution for enhancing the essence of the productivity and sustainability.―In order to support and satifisfied the needs of the farmers Precision agriculture is employed [2]. -
Health Informatics Principles
Health Informatics Principles Foundational Curriculum: Cluster 4: Informatics Module 7: The Informatics Process and Principles of Health Informatics Unit 2: Health Informatics Principles FC-C4M7U2 Curriculum Developers: Angelique Blake, Rachelle Blake, Pauliina Hulkkonen, Sonja Huotari, Milla Jauhiainen, Johanna Tolonen, and Alpo Vӓrri This work is produced by the EU*US eHealth Work Project. This project has received funding from the European Union’s Horizon 2020 research and 21/60 innovation programme under Grant Agreement No. 727552 1 EUUSEHEALTHWORK Unit Objectives • Describe the evolution of informatics • Explain the benefits and challenges of informatics • Differentiate between information technology and informatics • Identify the three dimensions of health informatics • State the main principles of health informatics in each dimension This work is produced by the EU*US eHealth Work Project. This project has received funding from the European Union’s Horizon 2020 research and FC-C4M7U2 innovation programme under Grant Agreement No. 727552 2 EUUSEHEALTHWORK The Evolution of Health Informatics (1940s-1950s) • In 1940, the first modern computer was built called the ENIAC. It was 24.5 metric tonnes (27 tons) in volume and took up 63 m2 (680 sq. ft.) of space • In 1950 health informatics began to take off with the rise of computers and microchips. The earliest use was in dental projects during late 50s in the US. • Worldwide use of computer technology in healthcare began in the early 1950s with the rise of mainframe computers This work is produced by the EU*US eHealth Work Project. This project has received funding from the European Union’s Horizon 2020 research and FC-C4M7U2 innovation programme under Grant Agreement No. -
Workshop Report
Nature based solutions for flood retention in Southern Europe 30 January – 1 February 2019, Coimbra (Portugal) WORKSHOP DOCUMENTATION COST Action CA16209 Natural Flood Retention on Private Land (LAND4FLOOD) “We must build dikes of courage to hold back the flood of fear” Martin Luther King, Jr. Local Organizers: Carla S. S. Ferreira Research Centre for Natural Resources, Environment and Society (CERNAS), Agrarian School of Coimbra, Polytechnic Institute of Coimbra, Portugal Sandra Mourato School of Technology and Management, Polytechnic Institute of Leiria, Portugal. ICAAM - Instituto de Ciências Agrárias e Ambientais Mediterrânicas, Universidade de Évora, Portugal The workshop was funded by the COST Action “Natural Flood Retention on Private Land” (CA16209). COST is supported by the EU Framework Programme Horizon 2020. Contents 1. Framework ............................................................................................................................ 1 1.1. Mediterranean floods and management challenges .................................................... 1 1.2. Motivation and Aims of the Workshop ......................................................................... 1 2. Water management and riverine conservation in Central Portugal: Field trip .................... 2 2.1. Water management in Mondego river basin ................................................................ 3 2.2. Riverine restauration ..................................................................................................... 5 3. Lessons Learned -
Draft Common Framework for Earth-Observation Data
THE U.S. GROUP ON EARTH OBSERVATIONS DRAFT COMMON FRAMEWORK FOR EARTH-OBSERVATION DATA Table of Contents Background ..................................................................................................................................... 2 Purpose of the Common Framework ........................................................................................... 2 Target User of the Common Framework ................................................................................. 4 Scope of the Common Framework........................................................................................... 5 Structure of the Common Framework ...................................................................................... 6 Data Search and Discovery Services .............................................................................................. 7 Introduction ................................................................................................................................. 7 Standards and Protocols............................................................................................................... 8 Methods and Practices ............................................................................................................... 10 Implementations ........................................................................................................................ 11 Software ................................................................................................................................ -
Information- Processing Conceptualizations of Human Cognition: Past, Present, and Future
13 Information- Processing Conceptualizations of Human Cognition: Past, Present, and Future Elizabeth E Loftus and Jonathan w: Schooler Historically, scholars have used contemporary machines as models of the mind. Today, much of what we know about human cognition is guided by a three-stage computer model. Sensory memory is attributed with the qualities of a computer buffer store in which individual inputs are briefly maintained until a meaningful entry is recognized. Short-term memory is equivalent to the working memory of a computer, being highly flexible yet having only a limited capacity. Finally, long-term memory resembles the auxiliary store of a computer, with a virtually unlimited capacity for a variety of information. Although the computer analogy provides a useful framework for describing much of the present research on human cogni- tion, it is insufficient in several respects. For example, it does not ade- quately represent the distinction between conscious and non-conscious thought. As an alternative. a corporate metaphor of the mind is suggested as a possible vehiclefor guiding future research. Depicting the mind as a corporation accommodates many aspects of cognition including con- sciousness. In addition, by offering a more familiar framework, a corpo- rate model is easily applied to subjective psychological experience as well as other real world phenomena. Currently, the most influential approach in cognitive psychology is based on analogies derived from the digital computer. The information processing approach has been an important source of models and ideas but the fate of its predecessors should serve to keep us humble concerning its eventual success. In 30 years, the computer-based information processing approach that cur- rently reigns may seem as invalid to the humlln mind liSthe wax-tablet or tl'kphOlIl' switchhoard mmkls do todoy. -
Distributed Cognition: Understanding Complex Sociotechnical Informatics
Applied Interdisciplinary Theory in Health Informatics 75 P. Scott et al. (Eds.) © 2019 The authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). doi:10.3233/SHTI190113 Distributed Cognition: Understanding Complex Sociotechnical Informatics Dominic FURNISSa,1, Sara GARFIELD b, c, Fran HUSSON b, Ann BLANDFORD a and Bryony Dean FRANKLIN b, c a University College London, Gower Street, London; UK b Imperial College Healthcare NHS Trust, London; UK c UCL School of Pharmacy, London; UK Abstract. Distributed cognition theory posits that our cognitive tasks are so tightly coupled to the environment that cognition extends into the environment, beyond the skin and the skull. It uses cognitive concepts to describe information processing across external representations, social networks and across different periods of time. Distributed cognition lends itself to exploring how people interact with technology in the workplace, issues to do with communication and coordination, how people’s thinking extends into the environment and sociotechnical system architecture and performance more broadly. We provide an overview of early work that established distributed cognition theory, describe more recent work that facilitates its application, and outline how this theory has been used in health informatics. We present two use cases to show how distributed cognition can be used at the formative and summative stages of a project life cycle. In both cases, key determinants that influence performance of the sociotechnical system and/or the technology are identified. We argue that distributed cognition theory can have descriptive, rhetorical, inferential and application power. -
Augmented Cognition for Bioinformatics Problem Solving
Augmented Cognition for Bioinformatics Problem Solving Olga Anna Kuchar and Jorge Reyes-Spindola Michel Benaroch Pacific Northwest National Laboratory Center for Creation and Management of Digital P.O. Box 999, 902 Battelle Blvd. Ventures Richland, WA, 99352 Martin J. Whitman School of Management Syracuse {olga.kuchar, jorge.reyes.spindola}@pnl.gov University, Syracuse, NY, 13244 [email protected] Abstract We describe a new computational cognitive model that has been developed for solving complex problems in bioinformatics. This model addresses bottlenecks in the information processing stages inherent in the bioinformatics domain due to the complex nature of both the volume and type of data and the knowledge required in solving these problems. There is a restriction on the amount of mental tasks a bioinformatician can handle when solving biology problems. Bioinformaticians are overwhelmed at the amount of fluctuating knowledge, data, and tools available in solving problems, but to create an intelligent system to aid in this problem-solving task is difficult because of the constant flux of data and knowledge; thus, bioinformatics poses challenges to intelligent systems and a new model needs to be created to handle such problem-solving issues. To create a problem-solving system for such an environment, one needs to consider the scientists and their environment, in order to determine how humans can function in such conditions. This paper describes our experiences in developing a complex cognitive system to aid biologists in knowledge discovery. We describe the problem domain, evolution of our cognitive model, the model itself, how this model relates to current literature, and summarize our ongoing research efforts. -
Landscape and Astronomy in Megalithic Portugal: the Carregal Do Sal Nucleus and Star Mountain Range Fabio Silva*
PIA Volume 22 (2012), 99-114 DOI: http://dx.doi.org/10.5334/pia.405 Landscape and Astronomy in Megalithic Portugal: the Carregal do Sal Nucleus and Star Mountain Range Fabio Silva* Central Portugal, delimited by the Douro river to the north and the Mondego to the south, is the second densest region of megalithic monuments in the country. The Neolithic archaeological record indicates seasonal transhumance between higher pastures in the summer and lower grounds in the winter. The monuments are found in lower ground and it has been suggested that they were built during the winter occupation of their surroundings. The astronomi- cal orientation of their entrances lends further support to this hypothesis. A recent survey of the orientation of the chambers and corridors of these dolmens, conducted by the author, found good agreement with prior surveys, but also demonstrated that other interpretations are possible. This paper presents an update on the survey, including extra sites surveyed in the spring of 2011, as well as the GIS confirmation of all horizon altitudes that couldn’t be empirically measured. The megalithic nucleus of Carregal do Sal, on the Mondego valley, is then looked at in more detail. It is found that there is a preference for the orientation of dolmens towards Star Mountain Range in- line with the topographic arguments of landscape archaeology. In addition, it was found that the topography also marks the rise of particular red stars, Betelgeuse and Aldebaran, during the period of megalithic building, at the onset of spring marking the transition from low ground to the high pastures. -
(IMIA) on Education in Health and Medical Informatics
This document has been published in Methods of Information in Medicine 39(2000), 267-277. Updated version October 2000, with corrections in footnote of section 4.2 Recommendations of the International Medical Informatics Association (IMIA) on Education in Health and Medical Informatics International Medical Informatics Association, Working Group 1: Health and Medical Informatics Education Abstract: The International Medical Informatics Association (IMIA) agreed on international recommendations in health informatics / medical informatics education. These should help to establish courses, course tracks or even complete programs in this field, to further develop existing educational activities in the various nations and to support international initiatives concerning education in health and medical informatics (HMI), particularly international activities in educating HMI specialists and the sharing of courseware. The IMIA recommendations centre on educational needs for health care professionals to acquire knowledge and skills in information processing and information and communication technology. The educational needs are described as a three-dimensional framework. The dimensions are: 1) professionals in health care (physicians, nurses, HMI professionals, ...), 2) type of specialisation in health and medical informatics (IT users, HMI specialists) and 3) stage of career progression (bachelor, master, ...). Learning outcomes are defined in terms of knowledge and practical skills for health care professionals in their role (a) as IT user and (b) as HMI specialist. Recommendations are given for courses/course tracks in HMI as part of educational programs in medicine, nursing, health care management, dentistry, pharmacy, public health, health record administration, and informatics/computer science as well as for dedicated programs in HMI (with bachelor, master or doctor degree). -
Water Quality in the Mondego River Basin: Pollution and Habitat Heterogeneity
295 Water quality in the Mondego river basin: pollution and habitat heterogeneity Verónica Ferreira*, Manuel A.S. Graça, Maria João Feio & Claúdia Mieiro IMAR - Centro Interdisciplinar de Coimbra, Departamento de Zoologia, Universidade de Coimbra, 3004- 517 Coimbra, Portugal * Author for correspondence: [email protected] ABSTRACT The “IMAR- Departamento de Zoologia, Universidade de Coimbra” and “Direcção Regional de Ambiente e Ordenamento do Território” started a partnership with the objective of establishing bases for the assessment of water quality in the Mondego river basin. Here we present the preliminary results of the study. We sampled 75 sites covering the Mondego river basin. At each site we took 18 physical and chemical measurements and sampled macroinvertebrates with a hand net. Site quality was assessed by the application of a biotic index (BMWP’), water chemistry and habitat heterogeneity. Fifty two percent of the sites had good biological water quality (based on BMWP’ index). The strongly polluted sites were concentrated in the Lower Mondego region. Thirty three percent of sites had bad chemical water quality and 45% of the sites had low habitat complexity. Only 40% of the sites with low biological quality also had low chemical water quality. We concluded that (1) in general, the waters on the Mondego river basin do not suffer from strong water pollution and (2) low BMWP’ values can be explained by low water quality or low habitat heterogeneity (natural or man-made). Key words: biological water quality, chemical water quality, habitat heterogeneity, BMWP’. RESUMEN El “IMAR- Departamento de Zoologia, Universidade de Coimbra” y la “Direcção Regional de Ambiente e Ordenamento do Território” iniciaron una colaboración con el objetivo de establecer las bases para la evaluación de la calidad del agua en la cuenca hidrográfica del Río Mondego. -
Is It Time for Cognitive Bioinformatics?
g in Geno nin m i ic M s ta & a P Lisitsa et al., J Data Mining Genomics Proteomics 2015, 6:2 D r f o Journal of o t e l DOI: 10.4172/2153-0602.1000173 o a m n r i c u s o J ISSN: 2153-0602 Data Mining in Genomics & Proteomics Review Article Open Access Is it Time for Cognitive Bioinformatics? Andrey Lisitsa1,2*, Elizabeth Stewart2,3, Eugene Kolker2-5 1The Russian Human Proteome Organization (RHUPO), Institute of Biomedical Chemistry, Moscow, Russian Federation 2Data Enabled Life Sciences Alliance (DELSA Global), Moscow, Russian Federation 3Bioinformatics and High-Throughput Data Analysis Laboratory, Seattle Children’s Research Institute, Seattle, WA, USA 4Predictive Analytics, Seattle Children’s Hospital, Seattle, WA, USA 5Departments of Biomedical Informatics & Medical Education and Pediatrics, University of Washington, Seattle, WA, USA Abstract The concept of cognitive bioinformatics has been proposed for structuring of knowledge in the field of molecular biology. While cognitive science is considered as “thinking about the process of thinking”, cognitive bioinformatics strives to capture the process of thought and analysis as applied to the challenging intersection of diverse fields such as biology, informatics, and computer science collectively known as bioinformatics. Ten years ago cognitive bioinformatics was introduced as a model of the analysis performed by scientists working with molecular biology and biomedical web resources. At present, the concept of cognitive bioinformatics can be examined in the context of the opportunities represented by the information “data deluge” of life sciences technologies. The unbalanced nature of accumulating information along with some challenges poses currently intractable problems for researchers. -
Accommodation
Accommodation Centro de Portugal Guarda Casa da Lomba Casas do Mondego Local accommodation Tourism in the Country / Country Houses Address: Rua da Fonte de Cima, 3 63210-171 Lomba Address: Rua do Eiró, N.º86300-170 Porto da Carne Sabugal Telephone: +351 96 634 76 79 Telephone: +351 966 411 611 E-mail: [email protected] Website: E-mail: [email protected] Website: http://www.casasdomondego.com http://www.casadalomba.com Characteristics and Services: Timetable: Number of beds: 12; Number of rooms: 6; Television room; 24H; Number of detached houses: 1 T1; 1 T2; 1 T3; Central heating; Characteristics and Services: Internet Access; Reserved area for non-smokers; Garden; Central heating; Number of beds: 6; Number of rooms: 3; Access: Internet Access; Swimming-pool; Kitchen; Breakfast; Outdoor parking; Buses; Access: Room facilities: Outdoor parking; Bike friendly; Heating in room; Television in room; Hair dryer in room; Internet Room facilities: access in room; Television in room; Internet access in room; Heating in room; Payments: Payments: Guiding price: $$$ (60€ - 90€); "All inclusive" rates; Guiding price: $$ (30€ - 60€); Accessibility: Accessibility: Disabled access; Accessible route to the entrance: Total; Accessible route to the entrance: Total; Accessible entrance: Accessible entrance: Total; Reception area suitable for people Total; Accessible circulation inside: Total; Accessible with special needs; Accessible circulation inside: Total; areas/services: Bedrooms; Accessible areas/services: Bedrooms; Hotel Lusitânia Congress & Spa The Mondego Houses are located in the River Mondego valley, in Hotel accommodation / Hotel / **** the historical centre of the village of Porto da Carne, in the borough of Guarda, and close to the river of the same name.