The effects of the aft rotor on the inter-rotor flow field of an open rotor propulsion rig were examined. A Particle image Velocimetry (PIV) dataset that was acquired phase locked to the front rotor position has been ...
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ISBN:
(纸本)9780791849682
The effects of the aft rotor on the inter-rotor flow field of an open rotor propulsion rig were examined. A Particle image Velocimetry (PIV) dataset that was acquired phase locked to the front rotor position has been phase averaged based on the relative phase angle between the forward and aft rotors. The aft rotor phase was determined by feature tracking in raw PIV images through an imageprocessing algorithm. The effects of the aft rotor potential field on the inter-rotor flow were analyzed and shown to be in reasonably good agreement with Computational Fluid Dynamics (CFD) simulations. The aft rotor position was shown to have a significant upstream effect, with implications for front rotor interaction noise. It was found that the aft rotor had no substantial effect on the position of the forward rotor tip vortex but did have a small effect on the circulation strength of the vortex when the rotors were highly loaded.
The objective of this mobile hand-held microscopic device is to provide aid to people residing in developing countries with early detection of various blood and gastrointestinal diseases. This device is created using ...
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ISBN:
(纸本)9781538678107
The objective of this mobile hand-held microscopic device is to provide aid to people residing in developing countries with early detection of various blood and gastrointestinal diseases. This device is created using a cell scope attached to the camera lens of the phone. The detection of disease is done using imageprocessingalgorithms which are stored on a cloud based server to generate reports and efficiently send results to the end user. The main goal behind the device is to create a revolution in the world of technology and healthcare by facilitating easier approaches of disease detection and prevention in rural areas.
In this paper a new control scheme for a robot manipulator based on visual information is proposed. The control system determines the position and orientation of the robot gripper in order to achieve desired grasping ...
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ISBN:
(纸本)0819419524
In this paper a new control scheme for a robot manipulator based on visual information is proposed. The control system determines the position and orientation of the robot gripper in order to achieve desired grasping relation between the gripper and a 3D object. The proposed control scheme consists of two distinct stages: (1) Learning stage, in this stage the robot system reconstructs a 3D geometrical model of a presented unknown object within a class of objects (polyhedra), by integrating information from an image sequence obtained from a camera mounted on the robot manipulator (eye-in-hand). This model is represented by a set of 3D line segments and denoted as a reference model. The robot is also taught desired grasping relation by manual guidance. (2) Execution stage, in this stage the robot system reconstructs a 3D model of the arbitrarily placed 3D object. This model is denoted as an observed model. Then, the necessary position and orientation of its gripper is determined based on estimated 3D displacement between the reference and observed models. Further, the basic algorithm is extended to handle multiple objects manipulation and recognition. The performance of the proposed algorithms has been tested on the real robot system and the experimental results are presented.
Using a table-top size soft X-ray (SXR) microscope, based on a laser plasma source with a double stream gas-puff target and a Fresnel zone plate objective, series of images of test samples were acquired. Characterizat...
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Using a table-top size soft X-ray (SXR) microscope, based on a laser plasma source with a double stream gas-puff target and a Fresnel zone plate objective, series of images of test samples were acquired. Characterization and optimization of the acquisition parameters were studied and evaluated in terms of signal to noise ratio (SNR). Conclusions for the optimization of SXR imaging were reached. Similar SNR measurements might be performed to characterize other SXR imaging systems as well. Software enabling live calculation of the SNR during the image acquisition might be introduced in future in the compact imaging systems for optimal image acquisition or for benchmarking purposes.
This paper presents a novel 3D multimodality medical image fusion algorithm based on wavelet multiresolution analysis, a powerful tool able to decompose an image into multiple frequency bands that can be independently...
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This study addresses the critical need for efficient quality control in textile manufacturing, aiming to enhance the production of high-quality fabric to meet consumer demands and industry benchmarks. Despite the meti...
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We present a simple and scalable algorithm for large-margin estimation of structured models, including an important class of Markov networks and combinatorial models. We formulate the estimation problem as a convex-co...
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ISBN:
(纸本)9780262232531
We present a simple and scalable algorithm for large-margin estimation of structured models, including an important class of Markov networks and combinatorial models. We formulate the estimation problem as a convex-concave saddle-point problem and apply the extragradient method, yielding an algorithm with linear convergence using simple gradient and projection calculations. The projection step can be solved using combinatorial algorithms for min-cost quadratic flow. This makes the approach an efficient alternative to formulations based on reductions to a quadratic program (QP). We present experiments on two very different structured prediction tasks: 3D image segmentation and word alignment, illustrating the favorable scaling properties of our algorithm.
A new methodology for shortest path extraction is described in this paper. It works in spaces with an arbitrary number of dimensions (n) and without constraints on the obstacle shapes. Moreover it holds whatever metri...
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The VIGILANTE project is a planned vision system capable of tracking and recognizing targets in real time, on a small airborne platform. The project consists of two parts, 1) the Viewing imager/Gimballed Instrumentati...
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ISBN:
(纸本)0819428140
The VIGILANTE project is a planned vision system capable of tracking and recognizing targets in real time, on a small airborne platform. The project consists of two parts, 1) the Viewing imager/Gimballed Instrumentation Laboratory (VIGIL), which is an infrared and visible sensor platform with appropriate optics and 2) the Analog Neural Three-dimensional processing Experiment (ANTE), a massive parallel, neural based, high-speed processor. The VIGIL platform is mounted on a helicopter equipped with Global Position System (GPS), Inertia Measurement Unit (IMU), gimbal, radio-link and anti-vibration platform. Also, a jet powered, radio controlled VIGILANTE Target Vehicle (VTV) has been manufactured and equipped with GPS. In the first stages of the project, the VIGIL system is used to acquire image sequences of the VTV for training and testing of the ANTE image recognition processor. Based on GPS and IMU input, the gimbal is pointed toward the VTV and acquires images. This paper describes the VIGIL system in detail. It discusses position-based pointing, tracking algorithms and the alignment procedure. Test imagery and an evaluation of the system will be presented.
This paper will present imageprocessingalgorithms that are suitable for listener head tracking in loudspeaker-based virtual acoustic imaging systems. The sweet spot of a virtual acoustic imaging system is relatively...
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ISBN:
(纸本)9781604236941
This paper will present imageprocessingalgorithms that are suitable for listener head tracking in loudspeaker-based virtual acoustic imaging systems. The sweet spot of a virtual acoustic imaging system is relatively small and it is desirable to make it larger. By adding access to a video camera for the audio system gives the possibility to track head movements and update the inverse filters accordingly. Two algorithms for listener head tracking have been reviewed and evaluated in this paper. The two algorithms are called colour tracking and stereo area correlation. One attribute of the listener is the skin colour, which can be successfully tracked. The colour tracking algorithm shows that colour can be used to provide a reliable feature for locating and tracking moving objects. The results from the colour tracking show that it can be used for listener head tracking in a relatively cluttered environment. Also the colour tracking algorithm is an efficient algorithm to run on a general purpose microprocessor. The accuracy that can be achieved in tracking the translation of the listener is sufficient for the application to virtual acoustics. The standard deviation for translation with the colour tracking algorithm is found by experiment to be 0.02 m. The stereo area correlation shows that area correlation can be used to provide a reliable measure for distance to objects in images. The standard deviation for distance measure with the stereo area correlation algorithm tracking is found by experiment to be 0.05 m.
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