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Hyperspectral remote-sensing image has high data dimensionality and a small amount of labeled pixels, which causes the curse of dimensionality phenomenon. Therefore, feature extraction is needed ahead of recognition for reducing dimensionality and improving classification accuracy. A novel multiclass feature extraction method, i.e., M-ary discriminant analysis (M-ary DA), is presented for solving...
While some logic analysis method has been used in the analysis of electronic commerce protocols for its simplicity, their lack of the ability in time description makes it helpless in the analysis of timeliness, which is one of the most important properties of electronic protocols. a novel logic is proposed by adding a simple time expression and analysis method to remedy the defect. Then a widely discussed...
Hybrid Energy Storage Systems (HESS) has the ability of providing fast and accurate response to second-to-second changes of the grids for keeping the power system uninterrupted and stable. This paper presents an enhanced Corrective Security Constrained Optimal Power Flow (CSCOPF) model by combining the technical merits of different Energy Storage technologies. The proposed HESS can be employed to...
For the problem that the existing ZigBee hybrid routing algorithms have serious energy consumption of the network, ZigBee hybrid routing algorithm for network energy optimization based on node cluster label is proposed. Utilizing the node cluster label, node judges whether the destination node is in the same cluster. The proposed algorithm employs the improved AODVjr (Ad hoc On-demand Distance Vector...
Considered the cooperation of the container truck and quayside container crane in the container terminal, this paper constructs the model of the quay cranes operation and trucks scheduling problem in the container terminal. And the hybrid intelligence swarm algorithm combined the particle swarm optimization algorithm(PSO) with artificial fish swarm algorithm (AFSA) was proposed. The hybrid algorithm...
Autonomous robots in urban search and rescue (USAR) have to fulfill several tasks at the same time: localization, mapping, exploration, object recognition, etc. This paper describes the whole system and the underlying research of the NuBot rescue robot for participating RoboCup Rescue competition, especially in exploring the rescue environment autonomously. A novel path following strategy and a multi-sensor...
The map building is the prerequisite in the mobile robots' autonomous operation in an unknown environment. Most current mobile robots mainly use the 2D map, and the others which use the 3D map have some shortcomings such as the complex data processing algorithm, large computation and time-consuming and so on. The paper presents a 3D data scanning system that combined with the 2D laser radar and the...
This paper proposed a VR-based self-rehabilitation system which utilizes the virtual training model rendered by OpenGL and collects electromyography (EMG) signals from the subjects to perform hand motion recognition. EMG signals are biomedical signals generated in muscles and can be applied in many fields such as clinical diagnosis and biomedical applications. The subjects were asked to manipulate...
Miniature robot has becoming a preferable choice for outdoor reconnaissance task due to its flexibility. However, miniature robot tends to have poor navigation ability because of the limited perception ability coming with the constrained space. This paper focus on the navigation problem of outdoor miniature reconnaissance robot with limited sensing ability in unknown obstacles environment. In this...
Most exoskeleton devices for upper-limb rehabilitation are heavy and bulky. The present study develops a light and wearable exoskeleton device for passive and resistance training that can potentially be used in home rehabilitation. Stroke patients may prefer to rehabilitate at home considering the inconvenience of regularly attending rehabilitation centres. In this paper, a novel training device combined...
The robot path planning for forming complex parts is one of the key techniques in coaxial laser cladding powder. In this paper, a method of automatic robot path generation from CAD (computer aided design) is proposed. The size information and topological information of the CAD model are extracted. The redundant vertexes are removed. The new vertexes are ordered and traversed by binary tree algorithm...
In P2P systems, each peer has to obtain information of other peers and propagate the information to other peers through neighboring peers. Thus, it is important for each peer to have some number of neighbor peers. Moreover, it is more significant to discuss if each peer has reliable neighbor peers. In reality, each peer might be faulty or might send obsolete, even incorrect information to the other...
Due to the opportunities provided by the Internet, people are taking advantage of e-learning courses and during the last few years enormous research efforts have been dedicated to the development of e-learning systems. So far, many e-learning systems are proposed and used practically. However, in these systems the e-learning completion rate is low. One of the reasons is the low study desire and motivation...
To the practical demands of project, a set of solution on the highly steep band-edge band-pass filter based on LTCC technology was designed in this paper. Semi-lumped Structure is used in this design for operating convenience. With the help of advanced LTCC technology, miniaturization will eventually be realized. Cross coupling is used to add transmission zeros for better steep band-edge, but still...
C Language course is a professional basic course of computer science. Explaining the grammatical structure of knowledge points and cultivating students' ability to solve practical application problems should be paid attention to in the teaching of language courses. It is pervasive in C language teaching that it is difficult for students to judge the correctness of the program in real time and students'...
Recently, fog computing has emerged as an attractive research topic, which extends the cloud computing paradigm to the edge of networks. It is envisioned that traditional cloud computing gradually fail to fully meet the requirements of evergrowing large-scale mobile services due to potential problems, such as high service latency, lack of location-awareness and user mobility support. Compared to cloud...
A cross-coupled architecture incorporating adaptive fuzzy moving sliding mode control (AFMSMC) is proposed to improve the effects of the mechanical coupling over synchronous and tracking errors in a three-axis gantry stage. We utilize the indirect and direct adaptive fuzzy sliding mode control schemes with the time-varying surface to approximate the each unknown servo-motor system of gantry stage...
The superpixels provided by an unsupervised segmentation algorithm are sets of neighboring pixels homogeneous in some sense. Therefore it is very likely that, in a classification problem, most pixels in a superpixel belong to the same class, namely if the homogeneity criterion is compatible with the class statistics. Superpixels are, therefore, a powerful device to express spatial contextual information...
Influence maximization aims to find a set of highly influential nodes in a social network to maximize the spread of influence. The most difficult part of the problem is to estimate the influence spread of any seed set, which has been proved to be #P-hard. There is no efficient method to estimate the influence spread of any seed set till now. Thus, the most common way to obtain the approximate influence...
It has been shown that identifying building blocks of knowledge and then reusing them to solve complex problems is a practical and useful endeavor. Previous work made it possible to solve various, until then, intractable tasks. However, the individual algorithms targeted one specific problem type, e.g. scalable problems or domains with repeating patterns. The question that arises is: Can the disparate...
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