03048nam 2200565 450 991046441150332120200520144314.01-78040-047-0(CKB)3440000000000634(EBL)3121249(OCoLC)922995976(SSID)ssj0001502260(PQKBManifestationID)11814914(PQKBTitleCode)TC0001502260(PQKBWorkID)11455195(PQKB)10655386(MiAaPQ)EBC3121249(Au-PeEL)EBL3121249(CaPaEBR)ebr10994528(EXLCZ)99344000000000063420141220h20122012 uy 0engur|n|---|||||txtccrAutomatic vacuum flushing technology for combined sewer solids laboratory testing and proposed improvements /by Dr. Qizhong GuoLondon, England :IWA Publishing,2012.©20121 online resource (61 p.)WERF Research Report SeriesDescription based upon print version of record.Includes bibliographical references.Cover; Copyright; Acknowledgments; Abstract and Benefits; Table of Contents; List of Tables; List of Figures; List of Acronyms; Executive Summary; Chapter 1.0: Project Background and Objective; 1.1 Project Background; 1.2 Objective; Chapter 2.0: Approach; 2.1 Original Work Plan; 2.2 Revised Work Plan; 2.3 Task 1 - Review of Sewer Sediment Flushing Technologies; 2.3.1 Sewer Flushing Technologies; 2.3.2 Overview of Field Demonstration of Sewer Flushing Technologies; 2.4 Task 2 - Laboratory Quantification of Automatic Vacuum Flushing System; 2.4.1 Experimental Design, Equipment, and Procedures2.4.2 Experimental Results and Discussion2.5 Task 3 - Testing of Modified Vacuum Flushing Designs; 2.5.1 Float and Seal Device; 2.5.2 Sealing Lever Device; 2.6 Task 4 - Evaluation of Field Demonstration Site; 2.7 Task 5 - Performance Evaluation of Installed Flushing Systems; 2.7.1 Paerdegat Basin CSO Facility - Brooklyn NY; 2.7.2 Drain Flushing Vault 1 - Freshpond Parkway, Cambridge MA; 2.7.3 Alley Creek CSO Facility - Queens NY; 2.7.4 Muddy Creek Basin (CSO 198) - Cincinnati OH; 2.7.5 Wheeler Avenue CSO Flood Control Basin - Louisville KY; 2.7.6 Water Pollution Control Facility - Auburn IN2.7.7 Typical Problems in Systems Visited2.7.8 Advantages and Disadvantages of Observed and Proposed Systems; Chapter 3.0: Conclusions; Appendix A; ReferencesWERF Research Report SeriesVacuum technologyElectronic books.Vacuum technology.621.55Guo Qizhong895016Water Environment Research Foundation.MiAaPQMiAaPQMiAaPQBOOK9910464411503321Automatic vacuum flushing technology for combined sewer solids1999721UNINA04280nam 22006615 450 99646633280331620200705090431.03-030-20887-710.1007/978-3-030-20887-5(CKB)4100000008280463(DE-He213)978-3-030-20887-5(MiAaPQ)EBC5922931(PPN)236522183(EXLCZ)99410000000828046320190527d2019 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierComputer Vision – ACCV 2018[electronic resource] 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part I /edited by C. V. Jawahar, Hongdong Li, Greg Mori, Konrad Schindler1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (XX, 722 p. 324 illus., 267 illus. in color.) Image Processing, Computer Vision, Pattern Recognition, and Graphics ;11361Includes index.3-030-20886-9 Motion and Tracking -- Stereo and Structure from Motion -- Segmentation and Grouping -- Image-Based Modeling -- Deep Learning for Vision -- Illumination and Reflectance Modeling -- Sensors & Early and Biologically-Inspired Vision -- Computational Photography and Video -- Object Recognition, Object Detection and Categorization -- Vision and Language -- Video Analysis and Event Recognition -- Face and Gesture Analysis -- Statistical Methods and Learning -- Performance Evaluation -- Medical Image Analysis -- Document Analysis Optimization Methods -- RGBD and Depth Camera Processing -- Robotic Vision Applications of Computer Vision.The six volume set LNCS 11361-11366 constitutes the proceedings of the 14th Asian Conference on Computer Vision, ACCV 2018, held in Perth, Australia, in December 2018. The total of 274 contributions was carefully reviewed and selected from 979 submissions during two rounds of reviewing and improvement. The papers focus on motion and tracking, segmentation and grouping, image-based modeling, dep learning, object recognition object recognition, object detection and categorization, vision and language, video analysis and event recognition, face and gesture analysis, statistical methods and learning, performance evaluation, medical image analysis, document analysis, optimization methods, RGBD and depth camera processing, robotic vision, applications of computer vision.Image Processing, Computer Vision, Pattern Recognition, and Graphics ;11361Optical data processingArtificial intelligenceComputer organizationComputer science—MathematicsImage Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computer Systems Organization and Communication Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/I13006Mathematics of Computinghttps://scigraph.springernature.com/ontologies/product-market-codes/I17001Optical data processing.Artificial intelligence.Computer organization.Computer science—Mathematics.Image Processing and Computer Vision.Artificial Intelligence.Computer Systems Organization and Communication Networks.Mathematics of Computing.006.37Jawahar C. Vedthttp://id.loc.gov/vocabulary/relators/edtLi Hongdongedthttp://id.loc.gov/vocabulary/relators/edtMori Gregedthttp://id.loc.gov/vocabulary/relators/edtSchindler Konradedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996466332803316Computer Vision – ACCV 20182495423UNISA