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An algorithm is presented to automate the identification of breaking waves in images collected with a camera on a drifting buoy. Each image is given a score from four separate analysis techniques: brightness detection, pixel histogram, entropy (texture) analysis, and glare identification. By combining these in a composite score, potential breaking wave images are detected and the number of images...
In a multi-cell wireless network, users require to be properly assigned to base-stations. After assigning the base-stations to users, the power consumption and interference is controlled by means of a distributed power control algorithm. The power control and base station assignment is a challenging issue which should be jointly addressed. The conventional target-SINR tracking power control algorithm...
This paper presents a novel Dynamic Virtual Bats Algorithm (DVBA) for global optimization. This algorithm is inspired by bat's echolocation behavior, in particular, focusing on the way they change the wavelength and frequency of the emitted sound wave while looking for prey. The role based search is developed to improve global and local search capability of Yang's Bat Algorithm. In the DVBA, there...
This paper investigates a hybrid algorithm which utilizes exact and heuristic methods to optimise asset selection and capital allocation in portfolio optimisation. The proposed method is composed of a customised population based incremental learning procedure and a mathematical programming application. It is based on the standard Markowitz model with additional practical constraints such as cardinality...
Dynamic Time-division duplex (TDD) can provide efficient and flexible splitting of the common wireless cellular resources between uplink (UL) and downlink (DL) users. In this paper, the UL/DL optimization problem is formulated as a noncooperative game among the small cell base stations (SCBSs) in which each base station aims at minimizing its total UL and DL flow delays. To solve this game, a self-organizing...
Ohya and Volovich proposed the polynomial time quantum algorithm to solve SAT problem which is one of NP-complete problems. This algorithm contains effective amplification process, so called a Chaos Amplifie, based on classical Chaotic dynamics. Recently we described this process by the GKSL master equation on two qubits system. In this talk, we introduce an efficien quantum algorithm for searching...
Video Copy Detection focuses on preventing illicit use of digital videos. Video copies are generated by applying different sorts of transformations on the original video content. To detect such transformed copies, the extraction of a transformation invariant feature descriptor is a requisite. Among the various existing transformations, flipping is the recently employed copy attacks. Hence, we propose...
Gesture recognition is increasingly remarkable in the field of HCI, since hand motions and gestures enable users to interact with computers in more natural ways. This paper focuses on two-hand gesture recognition and proposes a Kinect-based method which specially takes a certain static gesture as a start and end mark of a dynamic gesture. Furthermore, we use an innovative way to extract the feature...
Differential evolution (DE) is a simple yet efficient evolutionary algorithm. Because of its simplicity, effectiveness and robustness, DE has gradually become more popular and applied in various fields. In addition, a lot of works have been done to improve the search ability of DE. Among them, opposition-based DE (ODE), which is incorporated opposition-based learning (OBL), has shown better performance...
The state estimation technique based on the Kalman filter (KF) is widely used in many communication applications. The KF is only optimal for linear modeling with independent and identically distributed (i.i.d.) random variables and Gaussian noises. In some complicated problems, the system model is not unique and the measurement equation is nonlinear. The particle filter (PF) along with interacting...
The main research content of this article is based on fingerprint method of AP selection and location estimation algorithm. We introduce RANSAC algorithm used in image processing art to AP selection in the online stage for external detection. It can filter to remove the APs impacted by environmental variation, not only reduces the amount of calculation but also improves the positioning accuracy. Aiming...
SAT solvers have been used as ATPG solution due to the advantage of transforming the circuit to a mathematical problem that can quickly be solved rather than using traditional circuit based approach. In this paper, we present a novel technique for dynamically compacting the test vector set in SAT-based ATPG as it searches for individual vectors, hence giving out fewer patterns that cover more faults...
This paper researches the alliance generation algorithm with emotional factors on the basis of multiple robots pursuit-evader problem. Firstly, this paper constructs an emotional model for pursuit robots: we not only apply the basic emotion method to the emotional expression, but also simulate the process of emotional transfer with Hidden Markov Model (HMM). Secondly, we determine the cooperation...
We propose a fast-adapted subspace tracking algorithm for background subtraction in video surveillance. While background scenes are modelled as a linear combination of basis images, foreground scenes are regarded as a sparse image. Every time a video frame streams in, two alternating procedures are repeatedly done: basis images are updated by a recursive least square algorithm and foreground images...
We propose in this paper a framework for the segmentation and classification of document streams. The framework is composed of two modules: segmentation and verification. The two modules use an incremental classifier which learns progressively along the stream. In the segmentation module a relationship between two consecutive pages is classified as either: continuity or rupture. Rupture is synonymous...
Cluster analysis is an important and challenging subject in time series data mining. It has a very important application prospect in many areas, such as medical images, atmosphere, finance, etc. Many current clustering techniques have still many problems, for example, k-means is a very effective method in finding different shapes and tolerating noise, but its result severely depends on the suitable...
Clustering is an important unsupervised learning approach and widely used in pattern recognition, data mining and image processing, etc. Different from existing clustering algorithms based on partitioning within data, dominant sets clustering extracts clusters in a sequential fashion. Based on graph-theoretic concept of a cluster, dominant sets clustering can be accomplished with a game dynamics efficiently...
A new algorithm evaluation method is presented for coning and large angular rate rotation coexisting environments. Normalized quaternion and its high order items expressed with the rotation vector are used for theoretical error analysis. The performances of two types of different coning algorithms are discussed, one based on conventional frequency-series and the other based on Savage's explicit frequency...
The fuzzy control does not need accurate mathematics model, and has the feature of simple implementation and good control effect. But there isn't a systematic design method, and it's more difficult to adjust fuzzy rules because of the influence of subjective factors. To solve the problem, a method using improved differential evolution algorithm to optimize fuzzy control rules is presented in this...
This paper begins by providing a mathematical characterization of the Lorenz system. Then, we present a 1D algorithm for computing the global one-dimensional unstable manifold of a saddle point of Lorenz system. However, a higher-dimensional stable and unstable manifold of Lorenz system consist of infinitely many orbits, and a finite collection of orbits typically does not give an acceptable picture...
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