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  • The sfloppy sample is a super floppy driver that resides in the directory \NtddkSrcStoragesfloppy. I

    The sfloppy sample is a super floppy driver that resides in the directory \\Ntddk\Src\Storage\sfloppy. It is a class driver for Super Floppy disk drives. It sits a level above the port driver (ATAPI, USB, etc) in the driver stack, and brokers communication Between the application level and the port driver. The floppy driver takes requests from filesystem drivers and then sends the appropriate SCSI_REQUEST_BLOCK (SRB) to the port driver. It is compatible with x86 and IA64 platforms.

    標簽: NtddkSrcStoragesfloppy directory sfloppy resides

    上傳時間: 2015-12-04

    上傳用戶:84425894

  • Sun公司Dream項目

    Sun公司Dream項目,DReaM-MMI protocol provides a method for ascertaining rights Between a DRM client and server.

    標簽: Dream Sun 項目

    上傳時間: 2013-12-15

    上傳用戶:離殤

  • This book discusses the growth of digital television technology and the revolution in image and vide

    This book discusses the growth of digital television technology and the revolution in image and video compression, highlighting the need for standardization in processing static and moving images and their exchange Between computer systems

    標簽: television technology revolution and

    上傳時間: 2015-12-23

    上傳用戶:ommshaggar

  • Rao-Blackwellised Particle Filters (RBPFs) are a class of Particle Filters (PFs) that exploit condi

    Rao-Blackwellised Particle Filters (RBPFs) are a class of Particle Filters (PFs) that exploit conditional dependencies Between parts of the state to estimate. By doing so, RBPFs can improve the estimation quality while also reducing the overall computational load in comparison to original PFs. However, the computational complexity is still too high for many real-time applications. In this paper, we propose a modified RBPF that requires a single Kalman Filter (KF) iteration per input sample. Comparative experiments show that while good convergence can still be obtained, computational efficiency is always drastically increased, making this algorithm an option to consider for real-time implementations.

    標簽: Particle Filters Rao-Blackwellised exploit

    上傳時間: 2016-01-02

    上傳用戶:refent

  • TRAFFIC LIGHT CONTROLLER using C51 and RTX-51 tiny

    TRAFFIC LIGHT CONTROLLER using C51 and RTX-51 tiny,This program is a simple Traffic Light Controller. Between start time and end time the system controls a traffic light with pedestrian self-service. Outside of this time range the yellow caution lamp is blinking.

    標簽: CONTROLLER TRAFFIC LIGHT using

    上傳時間: 2013-12-27

    上傳用戶:123456wh

  • We have a group of N items (represented by integers from 1 to N), and we know that there is some tot

    We have a group of N items (represented by integers from 1 to N), and we know that there is some total order defined for these items. You may assume that no two elements will be equal (for all a, b: a<b or b<a). However, it is expensive to compare two items. Your task is to make a number of comparisons, and then output the sorted order. The cost of determining if a < b is given by the bth integer of element a of costs (space delimited), which is the same as the ath integer of element b. Naturally, you will be judged on the total cost of the comparisons you make before outputting the sorted order. If your order is incorrect, you will receive a 0. Otherwise, your score will be opt/cost, where opt is the best cost anyone has achieved and cost is the total cost of the comparisons you make (so your score for a test case will be Between 0 and 1). Your score for the problem will simply be the sum of your scores for the individual test cases.

    標簽: represented integers group items

    上傳時間: 2016-01-17

    上傳用戶:jeffery

  • The problem of image registration subsumes a number of problems and techniques in multiframe image

    The problem of image registration subsumes a number of problems and techniques in multiframe image analysis, including the computation of optic flow (general pixel-based motion), stereo correspondence, structure from motion, and feature tracking. We present a new registration algorithm based on spline representations of the displacement field which can be specialized to solve all of the above mentioned problems. In particular, we show how to compute local flow, global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of the above problems. Using a spline-based description of the flow removes the need for overlapping correlation windows, and produces an explicit measure of the correlation Between adjacent flow estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D projective scene geometry. We also provide results on a number of standard motion sequences.

    標簽: image registration multiframe techniques

    上傳時間: 2016-01-20

    上傳用戶:520

  • JavaGPS enables access to GPS devices from any Java application. Provides Java API, NMEA0183 parser,

    JavaGPS enables access to GPS devices from any Java application. Provides Java API, NMEA0183 parser, record and playback GPS log files, convert Between earth dates and Gauss Krueger, GPS management GUI with map.

    標簽: Java application Provides JavaGPS

    上傳時間: 2013-12-30

    上傳用戶:aappkkee

  • Mod_python is an Apache module that embeds the Python interpreter within the server. With mod_python

    Mod_python is an Apache module that embeds the Python interpreter within the server. With mod_python you can write web-based applications in Python that will run many times faster than traditional CGI and will have access to advanced features such as ability to retain database connections and other data Between hits and access to Apache internals. A more detailed description of what mod_python can do is available in this O Reilly article.

    標簽: interpreter Mod_python mod_python the

    上傳時間: 2016-01-25

    上傳用戶:yd19890720

  • Returns weighted percentiles of a sample given the weight vector w % The idea is to give more empha

    Returns weighted percentiles of a sample given the weight vector w % The idea is to give more emphasis in some examples of data as compared to % others by giving more weight. For example, we could give lower weights to % the outliers. % The motivation to write this function is to compute percentiles for Monte % Carlos simulations where some simulations are very bad (in terms of goodness % of fit Between simulated and actual value) than the others and to give % the lower weights based on some goodness of fit criteria.

    標簽: percentiles weighted Returns sample

    上傳時間: 2016-01-28

    上傳用戶:小儒尼尼奧

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