3 research outputs found

    Embedded Real-Time Video Surveillance System based on Multi-Sensor and Visual Tracking

    No full text
    This Paper describes the design and implementation of an embedded remote video surveillance system for general purposes security application. The proposed system is able to detect and report vandalism, tampering, and theft activities before they take place via SMS, Email or by a phone call. The system has been enriched with a vast range of sensors to increase its sensing capability of different types of attacks.Moreover, the proposed system has been enhanced by adding a visual verification technique to overcome false alarms generated by sensors, where a video camera is integrated within the system software to capture video footage, verify, and track the abnormal events taking into consideration bandwidth consumption and real-time processing. Finally, the system was implemented using SBC (Raspberry Pi) as a working platform supported by OpenCV and Python as a programming language. The results proved that the proposed system can achieve monitoring and reporting in real-time. Where the average processing time specified to complete all the required tasks for each frame (starting from video source to broadcasting stage) does not exceed 64%. Moreover, the proposed system achieved a reduction in the utilized data size as a result of using image processing algorithms, reaching an average of 91%, which decreased the amount of transferred data to an average of 13.4 Mbit/sec and increased the bandwidth efficiency to an average of 92%. Finally, this system is characterized by being flexible, portable, easy to install, expandable and cost-effective. Therefore, it can be considered as an efficient technology for different monitoring purposes

    Notes for genera – Ascomycota

    No full text
    Knowledge of the relationships and thus the classification of fungi, has developed rapidly with increasingly widespread use of molecular techniques, over the past 10--15 years, and continues to accelerate. Several genera have been found to be polyphyletic, and their generic concepts have subsequently been emended. New names have thus been introduced for species which are phylogenetically distinct from the type species of particular genera. The ending of the separate naming of morphs of the same species in 2011, has also caused changes in fungal generic names. In order to facilitate access to all important changes, it was desirable to compile these in a single document. The present article provides a list of generic names of Ascomycota (approximately 6500 accepted names published to the end of 2016), including those which are lichen-forming. Notes and summaries of the changes since the last edition of `Ainsworth Bisby's Dictionary of the Fungi' in 2008 are provided. The notes include the number of accepted species, classification, type species (with location of the type material), culture availability, life-styles, distribution, and selected publications that have appeared since 2008. This work is intended to provide the foundation for updating the ascomycete component of the ``Without prejudice list of generic names of Fungi'' published in 2013, which will be developed into a list of protected generic names. This will be subjected to the XIXth International Botanical Congress in Shenzhen in July 2017 agreeing to a modification in the rules relating to protected lists, and scrutiny by procedures determined by the Nomenclature Committee for Fungi (NCF). The previously invalidly published generic names Barriopsis, Collophora (as Collophorina), Cryomyces, Dematiopleospora, Heterospora (as Heterosporicola), Lithophila, Palmomyces (as Palmaria) and Saxomyces are validated, as are two previously invalid family names, Bartaliniaceae and Wiesneriomycetaceae. Four species of Lalaria, which were invalidly published are transferred to Taphrina and validated as new combinations. Catenomycopsis Tibell Constant. is reduced under Chaenothecopsis Vain., while Dichomera Cooke is reduced under Botryosphaeria Ces. De Not. (Art. 59)

    SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study

    No full text
    Background: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population
    corecore