Solution to COMP9334 Revision Questions for Week 4A Question 1 First note that one counter is not sufficient to serve all the customers. If we consider all the customers together, each customer carries on average 20.5 items, which takes 20.5 to complete. 15 Since the customer arrival rate is 1, the utilisation will be above […]
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COMP9334 Capacity Planning for Computer Systems and Networks Week 3A: Revision problems COMP9334 1 Note • Some of these questions can be done by a calculator but some of them require laborious calculations that are best done by a computer software, e.g. Matlab, Octave, Python etc. T1,2021 COMP9334 2 Question 1 • YouhaveacomputersystemwithasingleCPU. • Bothinter-arrivalandservicetimesareexponentiallydistributed.
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COMP9334 Capacity Planning for Computer Systems and Networks Week 3B: Markov Chain COMP9334 1 Last lecture: Queues with Poisson arrivals • Single-server Arrivals Departures • Multi-server Arrivals 1 Departures 2 m m servers T1,2021 COMP9334 2 This week: Markov Chain • You can use Markov Chain to analyse • Closedqueueingnetwork(seeexamplebelow) • Reliabilityproblem CPU • There
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COMP9334 Capacity Planning for Computer Systems and Networks Week 5A: Discrete event simulation (2). Independent replications. Confidence interval. COMP9334 1 Week 4B • Two topics • Howtostructurediscreteeventsimulationofqueues • HowtousethePythonrandomlibrarytogeneraterandom numbers for inter-arrival and service times • You should be able to simulate • Manytypesofqueues • Single-server or multi-server • Different queueing disciplines • Manyinter-arrivaltimeandservicetimedistributions •
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[06-30213][06-30241][06-25024] Computer Vision and Imaging & Robot Vision Dr Hyung Jin Chang Dr Yixing Gao h.j.chang@bham.ac.uk y.gao.8@bham.ac.uk School of Computer Science Binary image analysis – Blobs and regions Reading: (Szeliski 4.2) Hyung Jin Chang Lecture 1 – 2 14/02/2021 Binary images 3 Slide credit: Kristen Grauman Binary images • Advantages – Easy to acquire –
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[06-30213][06-30241][06-25024] Computer Vision and Imaging & Robot Vision Dr Hyung Jin Chang Dr Yixing Gao h.j.chang@bham.ac.uk y.gao.8@bham.ac.uk School of Computer Science Camera Parameters Hyung Jin Chang, Yixing Gao 08/02/2021 Camera parameters (INTRINSIC AND EXTRINSIC) • Digital images are spatially discrete, and divided into (usually) rectangular picture elements, or pixels. • This is an aspect of
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[06-30213][06-30241][06-25024] Computer Vision and Imaging & Robot Vision Dr Hyung Jin Chang Dr Yixing Gao h.j.chang@bham.ac.uk y.gao.8@bham.ac.uk School of Computer Science Edge detection and matching Reading: (Szeliski 3.3.2-4) Hyung Jin Chang Lecture 1 – 3 14/02/2021 In this session • Edge detection and matching – process the image gradient to find curves/contours – comparing contours
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[06-30213][06-30241][06-25024] Computer Vision and Imaging & Robot Vision Dr Hyung Jin Chang Dr Yixing Gao h.j.chang@bham.ac.uk y.gao.8@bham.ac.uk School of Computer Science LOCAL FEATURES: DETECTION AND DESCRIPTION (SZELISKI 4.1) 2 Scale invariant interest points How can we independently select interest points in each image, such that the detections are repeatable across different scales? Kristen Grauman 3
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CS229 Python & Numpy Angelica Sun How does python relate to other languages? Python 2.0 released in 2000 (Python 2.7 “end-of-life” in 2020) Python 3.0 released in 2008 (Python 3.6+ for CS 229) • Interpreted, like MATLAB • Object-oriented • Dynamically-typed https://www.researchgate.net/figure/Genealogy-of-Programming-Languages-doi101371- journalpone0088941g001_fig1_260447599 Before you start Always use conda for environment management Create a new
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[06-30213][06-30241][06-25024] Computer Vision and Imaging & Robot Vision Dr Hyung Jin Chang Dr Yixing Gao h.j.chang@bham.ac.uk y.gao.8@bham.ac.uk School of Computer Science Image Filtering Hyung Jin Chang, Yixing Gao 08/02/2021 Next topic • Image filtering • Suggested reading: – R. Szeliski, Computer Vision – Algorithms and Applications, Springer 2010: – Chapter 3 Image Processing • 3.2
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