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Marine dunes are bedforms that, because of their locations and dimensions, can infer with human activities at sea. New MultiBeam Echo-sounder Systems (MBES) enable to collect always more accurate and denser data revealing the diversity of shape, size and dynamics of these features with finer details. Until now, research on dunes have mostly consisted in describing or modeling their morphology and...
The proliferation of social media has increased the competition among different memes, which can be free texts, trending catchphrases, or micro media. As human attention is limited, these memes compete with each other, and go in and out of popularity at a rapid pace, sometimes even faster than we can recognize. Popular memes often shape the mindsets of online communities, and also shed light on their...
A fault-tolerant cooperative control (FTCC) strategy for cooperative unmanned aerial vehicles (UAVs) used in forest monitoring, fire detection and tracking is investigated in this paper. The proposed algorithm solves the problem of monitoring and detection of forest fires, even when fault occurs to one or more UAVs. During the search stage, the UAVs team moves in a certain formation shape, a distributed...
CFSFDP is a clustering algorithm based on density peaks, which can cluster non-spherical data sets, and also has the advantages of fast clustering and simple realization. However, the global density threshold dc, which leads to the decrease of clustering quality, is specified without the consideration of spatial distribution of the data. Moreover, the data sets with multi-density peaks cannot be clustered...
Recently, the 3D mesh segmentation is considered as an important stage in many applications in 3D shape analysis. In fact, extensive research has been performed to offer multiple approaches and algorithms for 3D mesh segmentation. Nevertheless, it is relatively hard to assess which algorithm produces more accurate segmentation quality than the other. Various methods have been proposed to evaluate...
Data stream is relatively new and emerging domain in the current era of Internet advancement. Clustering data streams is equally important and difficult because of the numerous hurdles attached to it. A number of algorithms have been proposed to offer solutions for efficient clustering. Grid-based clustering approach was adopted few years ago to overcome the limitations of conventional partition-based...
The discrete-grains model is a simple model for the distribution of “grains” on a magnetic medium. In this model, grains on the medium are taken to be one of four basic rectangular shapes (“tiles”)—$1 \times 1$ , $1 \times 2$ , $2 \times 1$ , and $2 \,\, \times \,\, 2$ . The magnetic medium is then modeled as an $N \times N$ square tiled by these four basic tiles. In this paper, we present Markov...
In this paper, we propose a collection of pattern sets to compute bit-quad matchings in component tree structures of grayscale images. The proposed patterns are designed to be used in an efficient algorithm which runs in linear time by counting incrementally each pattern matching per pixel. It is worth emphasizing that the proposed algorithm computes any attribute derived from 2×2 bit-quads such as...
The concept of rectangular duals[1-4] provides an interesting approach to VLSI floor-plan in terms of a hierarchical design strategy. In order to determine the shape and relative position of each functional block (or “macro”), the approach uses more global information concerning not only interconnection requirements among functional blocks but also the total chip area, as compared with the conventional...
This paper puts forward a new tracking algorithm based on Mean Shift algorithm and the Particle Filter algorithm. We combined the two algorithms efficiently based on the open structure system of both Mean Shift algorithm and the Particle Filter algorithm, and the model similar expression of establishment of the target, similarity measure and the selection of kernel function they have. The new algorithm...
Automated prostate diagnoses and treatments have gained much attention due to the high mortality rate of prostate cancer. In particular, unsupervised (automatic) prostate segmentation is an active and challenging research. Most conventional works usually utilize handcrafted (low-level) features for prostate segmentation; however they often fail to extract the intrinsic structure of the prostate, especially...
In this paper, we designed and implemented a fuzzy logic control-based digital controller for a four-wheel automobile model. The automobile model is directed by the two front wheels, and is driven by the two rear wheels. The automobile model is designed to complete its racing smoothly and quickly on the specified racing road. The road is in several kinds of shapes such as straight lines, arcs, s-curves,...
The purpose of this paper is to present a platform for evaluating segmentation algorithms that detect anatomical structures in medical images. Structure detection being subject to human interpretation, we first describe a method to define a ground truth model, i.e. a generated bronze standard, that will be the reference for subsequent analysis. This bronze standard will be characterized in order to...
Predictive maintenance task is of crucial role for any plant equipment supervision and scheduling of service activities. For this purpose it should be known what is current aging status of any equipment. Presented approach assumes that we know the nominal (starting) element curve and a damage one as well. It is also assumed that the aging course progresses according to some good practice aging Lorentz...
In this contribution, we apply MUltiple SIgnal Classification (MUSIC) algorithm to the imaging of extended dielectric inhomogeneities that are completely embedded in an inhomogeneous medium with a smooth boundary. This application is based on the so-called physical factorization of the collected Multi-Static Response (MSR) matrix. Various numerical experiments are presented to demonstrate the pros...
The paper discusses the passive optical detection of small-sized targets moving through the air at overhead levels. An experimental module for a standalone locator to operate in real time is presented together with methods usable within the actual implementation of the underlying designer project. Within the supporting tests, an algorithm was developed to detect small particles in a video sequence,...
In the Era of Information, Extracting useful information out of massive amount of data and process them in less span of time has become crucial part of Data mining. CURE is very useful hierarchical algorithm which has ability to identify cluster of arbitrary shape and able to identify outliers. In this paper we have implemented CURE clustering algorithm over distributed environment using Apache Hadoop...
Data mining has gained much importance in the field of research these days. It makes perfect blend for analyzing data of any fields and provide decision based output. Data generation and storage these days are done at high speed. Non stationary systems play holistic role in providing such data. Availability of such data creates scope of analysis for researchers. Such data which are continuous, unbounded,...
If the pre-processing phase, in optical character recognition systems, is the heart of the recognition process, the segmentation stage is the "aorta" of this heart. This paper introduce a reliable segmentation technique for Arabic handwritten script. Number of techniques like, script height, character width, pen thickness and word/subword gaps are used to design an efficient segmentation...
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