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It is associated with simplicity; the more orthogonal the design, the fewer exceptions. This makes it easier to learn, read and write programs in a programming language [citation needed]. The meaning of an orthogonal feature is independent of context; the key parameters are symmetry and consistency (for example, a pointer is an orthogonal concept).
In computer engineering, an orthogonal instruction set is an instruction set architecture where all instruction types can use all addressing modes. It is " orthogonal " in the sense that the instruction type and the addressing mode may vary independently.
By processing signals from these devices it is possible to track the position and orientation of a device. An inertial navigation system includes at least a computer and a platform or module containing accelerometers, gyroscopes, or other motion-sensing devices. The INS is initially provided with its position and velocity from another source (a ...
The LN-3-2B is the Inertial Navigation System used in the Canadian CF-104. [12] The LN-3-13 is fitted to the Italian F-104S/CI and F-104S/CB; [13] enhanced variants of the F-104G from 1969 and onward. In the early 1980s a further upgrade led to the F-104S ASA version which kept the original LN-3; but the ASA-M version of the '90s was equipped ...
An accelerometer was announced that used infrared light to measure the change in distance between two micromirrors in a Fabry–Perot cavity. The proof mass is a single silicon crystal with a mass of 10–20 mg, suspended from the first mirror using flexible 1.5 μm-thick silicon nitride (Si 3 N 4) beams. The suspension allows the proof mass to ...
MoCap pre-processing 660 action samples 8 PhaseSpace Motion Capture, 2 Stereo Cameras, 4 Quad Cameras, 6 accelerometers, 4 microphones Action classification 2013 [125] Ofli, F. et al. THUMOS Dataset Large video dataset for action classification. Actions classified and labeled. 45M frames of video Video, images, text Classification, action detection
In computer science, Linda is a coordination model that aids communication in parallel computing environments. Developed by David Gelernter, it is meant to be used alongside a full-fledged computation language like Fortran or C where Linda's role is to "create computational activities and to support communication among them". [3] [4] [5]
Sparse dictionary learning has been successfully applied to various image, video and audio processing tasks as well as to texture synthesis [15] and unsupervised clustering. [16] In evaluations with the Bag-of-Words model, [17] [18] sparse coding was found empirically to outperform other coding approaches on the object category recognition tasks.