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Underwater Acoustic Sensor Networks are getting increasing attention from the research community. Localization is an important functionality in any sensor network. Due to properties of the acoustic medium, terrestrial localization algorithms are not directly applicable to underwater networks. In this paper, the authors propose a modified version of Stochastic Proximity Embedding localization algorithm...
The present study aims at establishing digital scholarly methods to understand the transformational processes of thought and behavior in individuals within changing socio-cultural situations. We adopted the socio-cultural approach as a conceptual framework that considers cultural phenomena as dynamic processes for the interplay of cultural voices in "personal" and "authoritative"...
This paper presents a study of approaches for selecting an eficient attack pose when loading piled materials with industrial construction vehicles. Automated handling of piled materials is a highly desired goal in many construction and mining applications. The main contributions of the paper are an experimental study of two novel approaches for selecting an attack pose from 3D data, compared to previously...
This paper considers the detection of ball in a basketball game covered by multiple loosely synchronized cameras. First, plausible ball candidates are detected on the nodes of a 3D grid defined around the basket. This is done by correlating independently in each view the spatial template of the ball with a precomputed foreground mask. Efficient implementation of this step relies on integral images...
Large networks of cameras have been increasingly employed to capture dynamic events for tasks such as surveillance and training. When using active cameras to capture events distributed throughout a large area, human control becomes impractical and unreliable. This has led to the development of automated approaches for on-line camera control. We introduce a new automated camera control approach that...
The present work consists in obtaining Cellular Automata models from simulation trajectories of protein folding, we describe the characteristics of the obtained models and discusses the advantages gained from the identification of rules based only on local interactions from a contact map representation. We detail experiments on the protein HP35 — NleNle which demonstrates the validity of the proposed...
Human detection and tracking in high density crowds is an unsolved problem. Standard preprocessing techniques such as background modeling fail when most of the scene is in motion. Because of high levels of occlusion, dense features, and shadows, object detectors tend to produce large numbers of false detections. We introduce a new method based on 3D head plane estimation that reduces these false detections...
The retrofitted electro-hydraulic system for hydraulic robotic excavator was introduced. According to the principle and characteristic of LUDV system, the model of electro-hydraulic system was derived, simplified and verified by relative experiment. Trajectory controller prototype was designed based on incremental theory of trajectory controlling to verify the accuracy of the controlling. Trajectory...
The computational capabilities needed for practical IOT/MBIOT design will be discussed. These were evaluated using a combination of analysis and test simulations employing static and fully electromagnetic codes. The presentation will focus on the most difficult aspect: simulation of beam formation in the cathode-grid region. It will be shown that electron transit delay in the cathode-grid gap causes...
Path-planning allows one to steer a camera to a desired location while taking into account the presence of constraints such as visibility, workspace, and joint limits. Unfortunately, the planned path can be significantly different from the real path due to the presence of uncertainty on the available data, with the consequence that some constraints may be not fulfilled by the real path even if they...
Recent developments to the electron optics simulator (EOS), an electron gun and collector design tool, are reported in this present. The code has been formally released at 2007, and there are some modifications and new methods to improve the code up to now.
The problem of chip control is an important issue faced by many advanced manufacturing method during processing, which affects production efficiency significantly. This paper analyzes and studies the mechanism of chip generation, curling, and breaking and sets up its mathematic model. Using VC++ to write the solution program, a set of relevant mathematic models of chip generation and breaking have...
Recognizing different actions with a unique approach can be a difficult task. This paper proposes a novel holistic representation of actions that we called "action signature". This 1D trajectory is obtained by parsing the 2D image containing the orientations of the gradient calculated on the motion feature map called motion-history image. In this way, the trajectory is a sketch representation...
In this paper we propose a method to recognize the arm motions performing within a short time, which are called ldquogesture strokesrdquo, for instant interaction. We combine two modalities, computer vision and linear accelerometer, to obtain robust recognition results. The arm motion is first detected by the accelerometer, and a time window is created for this motion. Both modalities individually...
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