PPT-Stream Sampling Workbook

Loudoun Wildlife Conservancy March 9 2014 Benthic Invertebrate Identification using VASOS v asosorg Tally Sheet Body Parts Head Thorax Abdomen Gills Antennae Wing Pads Tail Crayfish. Assumptions Advantages Assumptions Advantages Matvey . Arye. , Princeton/Cloudflare. Albert . Strasheim. , . Cloudflare. Awesome CDN service for websites big & small. Millions of request a second peak. 24 data centers across the globe. Data Analysis. Sampling is perhaps the most important step in assuring that good quality aggregates are being used on INDOT contracts. Since a sample is just a small portion of the total material, the importance th ADC Types. EE174 – SJSU. Tan Nguyen. A continuous-time signal . x. (. t. ) with frequencies no higher than . f. max. can be reconstructed from its samples . x. [. n. ] = . x. (. nT. s. ) if the samples are taken at a proper sampling frequency . G.Cormode@warwick.ac.uk. Nick Duffield, Texas A&M University. Nick.Duffield@gmail.com. Sampling for Big Data. x. 9. x. 8. x. 7. x. 6. x. 5. x. 4. x. 3. x. 2. x. 1. x. 10. x’. 9. x’. 8. x’. 10. 1. Today’s Topics. Intro – The problem. The streaming model:. Definition. Algorithm example. Frequency moments of data streams. #Distinct Elements in a Data Stream. 2-Universal (Pairwise Independent) Hash Functions. A link between Continuous-time/Discrete-time Systems. x. (. t. ). y. (. t. ). h. (. t. ). x. [. n. ]. y. [. n. ]. h. [. n. ]. Sampling. x. [. n. ]=. x. (. nT. ), . T. : sampling period. x. [. n. ]. x. YR04 Efforts. MFRPA Alliance and Lab Accreditation Meeting. Louisville, KY February 2, 2016. Overview of . S. ampling Working Group Efforts. Publication of the “Guidance on Obtaining Defensible Samples” (. Arnav Agarwal. Srujun Thanmay Gupta. Shivam. . Bharuka. What is Stream Processing?. Infrastructure for continuous processing of data. Various applications for analysis of live data streams. Two types of operations:. 7. Introduction. In . a typical statistical inference problem, you want to discover one or more characteristics of a given population. .. However, it is generally difficult or even impossible to contact each member of the population.. WWSOP03000. Effective Date: ##/##/####. KENTUCKY WATERSHED WATCH . BIOLOGICAL STREAM ASSESSMENT. High Gradient. This presentation . is based on the . “Kentucky Watershed Watch . High Gradient Biological Stream Assessment Standard . After Campus Before Campus Introduction Are students destroying Little Niagara Creek? This stream is a great resource for the UWEC science classes and is used for many field labs and research projects. But is this heavy use damaging the stream and the populations of benthic Sampling GuideWater Assessments by Volunteer EvaluatorsWAVEDEC WAVE PROGRAM DIVISION OF WATER625 Broadway Albany NY 12233 P 518 402-8179 F 518 402-9029 wavedecnygov2WAVE Sampling GuideModifications