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Unmanned or manned underwater vehicles are often designed in cylindrical shapes which have desirable properties for withstanding the pressures that can be experienced in undersea environments. However, cylindrical designs are not required for non-pressurized enclosures. Non-cylindrical designs may provide benefits to developers including allowing a wider variety of materials for construction, greater...
This paper presents an optimal waveform design method using Multi-Tone Sinusoidal Frequency Modulation (MTSFM). The MTSFM waveform's modulation function is represented using a Fourier series expansion. This representation results in a constant amplitude waveform with a continuous modulation function whose spectrum, Auto-Correlation Function, and Ambiguity Function shapes can be modified by adapting...
Commercial shipping vessels are a common source of underwater noise in the ocean. This article details a stochastic model for generating frequency-rough emission spectra for different classes of commercial shipping vessels. The model incorporates discrete probability density functions (PDFs) for different ship classes as well as class-dependent conditional PDFs of ship speed and length. Realistic...
Finding mines in Sonar imagery is a significant problem with a great deal of relevance for seafaring military and commercial endeavors. Unfortunately, the lack of enormous Sonar image data sets has prevented automatic target recognition (ATR) algorithms from some of the same advances seen in other computer vision fields. Namely, the boom in convolutional neural nets (CNNs) which have been able to...
The authors have been working on support of coastal fishing utilizing ICT since 2004. We have realized two visualizations for the sustainable fishery until now. One is visualization of resources for capture fishing using digital diary and the other is visualization of environment for culture fishing using small buoys. In this paper, we propose the visualization of technology for octopus drift fishing...
A sequential space carving method has been developed for the 3-D reconstruction of objects from multitude of forward-look sonar images captured at known sonar poses [1]. The 3-D space within common viewing volume of several camera poses is divided into small volumetric pixels (voxels). Projecting each onto various images, all voxels satisfying certain consistency measure are maintained. Conversely,...
Analyzing fish and fish schools behavior can help in studying fish-fish interaction, analyzing characteristics of fish species, studying prey avoidance maneuvers of fish schools, etc. Such analysis requires the estimation of each fish's 3D location, 3D pose, and 3D shape over time. Moreover if we are interested in studying the interaction of fish by injecting visual / acoustic stimuli artificially...
This article develops a geometric framework for detecting targets, in the form of regions of interest, from certain sonar imagery. The main idea is to extract level sets from voxel images and compute local geometric features of the resulting surfaces. Examples include Gaussian and principal curvatures, radial distances, patch areas etc. These features are then compressed into histograms, or estimated...
In this paper, we address interesting questions about how feng shui influences house price from a data perspective. First, is feng shui likely to influence house price? Second, how do different feng shui features, e.g., house shape, master bedroom location, and other interior room arrangements, influence the price? Third, can we automatically diagnose the feng shui problems of a house? From a dataset...
Omnidirectional, also referred to as 360º, visual content provides an immersive experience since it allows users to view a visual scene from different directions. The overall content typically covers a full sphere, and omnidirectional videos or images are processed to obtain a projection on a 2D plane of a fraction of the sphere (aka viewport), which is shown to the user. Therefore, users can look...
In order to keep up with countless emerging applications requirements, cellular systems have to embed new flexible aspects, with the aim of satisfying future wireless environments expectations. In this context, we consider a cellular system based a full-duplex amplify-and-forward cooperative communication over Nakagami-m channel. We assume the direct link between the source and the destination is...
A device for the detection of polymers is under the development. The use of ultrasonic waves for understanding the aquatic environment is undertaken in this work. The material presented explains how the waves behave for different samples (size, shape, composition) of polymers and the observation is the signature of the species under study.
The energy conversion efficiency of solar cells can be enhanced significantly due to the effect of coupling the solar cells with plasmonic nanostructures. However, while the advantage of using plasmonic nanostructures has already been established, the physical parameters of the structures at which the efficiency is optimized has not yet been thoroughly analyzed. Of all the possible parameters, this...
Small infrared target detection in complex backgrounds is a challenging task. Due to dynamic background clutter and low signal-to-clutter ratio, most conventional methods fail to produce satisfactory results. In this paper, an effective spatial and temporal filter is proposed. The spatial filter is used to remove cloud edge, and the temporal filter is used to remove point-like background clutter....
Morphologic filters are used here to interpolate missing values from sets of frequency domain measurements, as occurs in Magnetic Resonance Imaging. MRI data acquisition is done in the Fourier domain which is often sub-sampled to reduce the required scan time. Partial recovery of the missing frequency samples permits direct Fourier inversion to provide a rapid and improved initial estimation of the...
Kernel descriptors have been proven to outperform existing histogram based local descriptors as such descriptors are extracted from the match kernels which measure similarities between image patches using different pixel attributes (gradient, colour or LBP pattern). The extraction of kernel descriptors does not require coarse quantization of pixel attributes. Instead, each pixel equally participates...
In this paper, a unified deep convolutional architecture is proposed to address the problems in the person re-identification task. The proposed method adaptively learns the discriminative deep mid-level features of a person and constructs the correspondence features between an image pair in a data-driven manner. The previous Siamese structure deep learning approaches focus only on pair-wise matching...
Segmentation is a fundamental problem in image processing. In biomedical applications, for example cell analysis, it is important to recognize cells with certain shape characteristics. Although recent advances in microscopy and in experimental methods have made the culturing and imaging of cells in 3D environments possible, there is a great need for advanced image processing methods capable of handling...
Given a database of spatial trajectories reporting the movement of a set of objects in a time frame, the problem is to discover the groups of objects that stay in close proximity within a geographical area for a significant time. To deal with the problem, techniques for the discovery of collective patterns, e.g. the meeting pattern, have been proposed. Such techniques, however, impose stringent constraints...
Stories can have tremendous power – not only useful for entertainment, they can activate our interests and mobilize our actions. The degree to which a story resonates with its audience may be in part reflected in the emotional journey it takes the audience upon. In this paper, we use machine learning methods to construct emotional arcs in movies, calculate families of arcs, and demonstrate the ability...
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