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This paper provided the physical experiments of formation flights based on the modified artificial physics for the multiple Unmanned Aerial Vehicles (UAVs) formation control problem. This control method that using modified artificial physics force law to build up UAV formation is verified not only in theory but also in simulation environment in our previous work. To further verify the method in physical...
This paper proposes an efficient maximum power point tracking (MPPT) technique for the photovoltaic (PV) system with a particle swarm optimization based radial basis function network (PSO-RBFN) algorithm. In PSO-RBFN, the weights of RBFN is trained in the first step with PSO, which is well recognized as an efficient optimization algorithm for continuous problems, and then the RBFN weights continue...
To enhance the accuracy and improve the efficiency of dictionary learning algorithm for compressive data gathering (CDG) in wireless sensor networks (WSNs), a robust efficient dictionary learning (REDL) algorithm is proposed. REDL algorithm separates outliers from training data by sparse coding them on identity matrix, and double-sparsity dictionary structure is introduced into the algorithm to provide...
In Semantic Web of Things, all provided services should meet users' demands by service-required user information, in which user privacy information necessarily involve, and privacy information leakage is a serious and sensitive legal problem. So how to balance user privacy protection and services quality comes to be a challenging research focus. To solve this problem, a privacy ontology based service...
In recent years, group security in public places has become more and more concerned. Therefore, there is a need for a system that can detect the concentration of people quickly and evacuate crowds efficiently in public places. In this paper, firstly, network dome was used to monitor public places. Secondly, Visual Background Extractor (ViBe) was used to extract moving objects. Then a density detection...
In practical applications of wireless sensor networks (WSNs), the collected sensory data contain noises that are superimposed during collection and transmission process. Additionally, with the deployment environment changed, the sparsity of sensory data could also be changed. It is necessary to design a novel dictionary learning method to address these issues. In this paper, the unit orthogonal atom...
While it is becoming an aging society, there are a large numbers of physical and mental burdens placed upon those who work in the field of nursing. Lots of nursing staff suffer from the occupational injuries especially on their waists. In daily nursing, assisting the elderly and patients with the transfer between the beds, the wheelchairs and the toilets is the primary cause of these occupational...
The comparative study of four practical three-dimensional (3D) path planning algorithm based on geometry search is proceeded in this paper, the four algorithms include Dijkstra algorithm, Floyd algorithm, A* algorithm and Ant colony algorithm. In four algorithms, the working environments of Unmanned Aerial Vehicle (UAV) are all modeled using grid map method and UAV three-dimensional paths are all...
This paper presents a quasi-delay-insensitive(QDI) asynchronous arbiter that uses dual-rail(DR) code and four-phase handshake protocol. It is useful to make non-deterministic selection from multiple DR encoded input data channels for neuromorphic networks, in which several events often occur concurrently. This design consists of three sub-modules with standard and universal architecture and thus it...
To solve the problem of trajectory planning for Autonomous Ground Vehicles (AGVs) in structured environments, a kinematically-feasible trajectory planning approach based on road models is proposed. In order to cope with obstacle avoidance on roads, we develop an efficient path generation method, using the piecewise spiral curve to generate a set of continuous curvature paths which satisfy the constraints...
As an important method of accelerating large data analysis, data cube computing has been a hot area. At present, the researches based on MapReduce mainly focus on algebraic data cube. In this paper, we use MapReduce as the basis of the algorithm. For the algebraic data cube, data cube lattice is divided into several regions, according to different types of regions, different calculation algorithms...
According to the base's height of prefabricated cabins for secondary combination devices in 110kV intelligent substation is less than 300 millimeters, a new base structure which welding H-beams and channel steels together was designed. The lifting analysis and modal analysis of the new base structure is accomplished by using Workbench platform. Structural deformation and Mises equivalent stress of...
Sparse representation is a new approach that has received significant attention for image classification and recognition. This paper presents a regularized weighted collaborative representation based classification algorithm with maximum likelihood estimation. In this method, we modify the collaborative representation fidelity term by introducing regularization factor. On the other hand, by maximizing...
A RF wireless receiver front-end with frequency synthesizer applying in intelligent human-machine systems is presented in this article. The integrated design includes a current-reused LNA, a folded Giber cell mixer, a class-C quadrature voltage-controlled oscillator (QVCO), an IF Gm-C bandpass filter and a frequency synthesizer. A hybrid fractional-N frequency synthesizer with noise filtering technique...
With the increasingly fierce competition of ecommerce platform, the trust relationship among users has become the research hotspot of recommendation system. In this paper, trust relationship is introduced into the recommendation system, and a multi-source attribute trust prediction method based on improved D-S evidence theory is proposed. Firstly, the user attributes are analyzed quantitatively according...
With the development of autonomous perception and obstacle avoidance technologies for power lines inspection using unmanned aerial vehicles(UAV), the methods of power lines extraction and distance measurement from binocular aerial images become the spotlights gradually. In this paper, the Ratio detection operator and fast Hough transform are adopted to extract the pixels of power lines and detect...
With the development of anonymous communication technology, it has led to the fact that the network monitoring is becoming more and more difficult. If the anonymous traffic can be effectively identified, the abuse of such technology can be prevented. Since the study of machine learning is rapidly developing these years, this paper applies the Random Forest Algorithm --- a semi-supervised learning...
The anonymous communication technology has brought new challenges to network monitoring. Effectively identify the anonymous traffic, plays a key role in preventing the abuse of such technology. In this paper, we propose a gravitational clustering algorithm (GCA) to identify the Tor anonymous traffic. Basically, each vector in the dataset is considered as an object in the feature space. And the objects...
To increase intelligence of walking-assistive devices, it is important to identify motion intention of the subject who wears a walking-assistive device. In this paper, cerebral hemoglobin information during motor imagery was used for recognizing frequently performed motion patterns of walking, squatting and standing up. 14 subjects performed spontaneous movements: the start and end of each task, and...
In practical applications of compressive sensing (CS) data gathering mechanism, the reconstruction accuracy is low when sampling and measurement processes are corrupted by impulsive noise. To reduce the influence of impulsive noise, robust compressive reconstruction (RCR) algorithm based on the sparsity of impulsive noise is proposed in this paper. ADMM optimization framework and Proximal-Gradient...
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