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Decoding for a macaque's moving finger position from neural signals in its motor cortex, is a problem about neural decoding. In the problem, many conventional decoding algorithms adopt a supervised training way, which needs some ground truth data and find a function w.r.t neural spikes and the finger's moving position. Therefore, the ground truth data will have an important effect on the performance...
In the existing various kinds of active contour model methods about image segmentation, level set method has been widely used because of its powerful capabilities of topological transformation. Because of the global computation, level set has accurate shape description effect. On the other hand, it makes the segmentation result sensitive to noise. In this paper, we propose a simple modified method...
Heterogeneous data sources and multi-label are two important characteristics of protein function prediction. They describe protein data from two different aspects. However, it is of considerable challenge to integrate multiple data sources and multi-label simultaneously for predicting protein functions, especially when there are only a limited number of labeled proteins. In this paper, we propose...
To encourage collaboration among single intrusion detection systems (IDSs), collaborative intrusion detection networks (CIDNs) have been developed that enable different IDS nodes to communicate information with each other. This distributed network infrastructure aims to improve the detection performance of a single IDS, but may suffer from various insider attacks like collusion attacks, where several...
Sparse unmixing is based on the assumption that each mixed pixel in the hyperspectral image can be expressed in the form of linear combination of a number of pure spectral signatures that are known in advance. Despite the success of sparse unmixing based on the L0 or L1 regularizer, the limitation of these approach focuses on analyzing the hyperspectral data without incorporating spatial structure...
In the biomedicine domain, a large number of papers are published every day, which is crucial to search for the relevant answers for the user's query. However, documents are not exactly what the users want. Instead, snippets, small segments from the documents, are more proper to meet the requirement of the users. Hence, this paper proposes a biomedical snippet retrieval framework to exactly locate...
This paper deals with the optimization of operating room (OR) process. This topic is especially of interest in view of the current attempts of hospitals to improve the efficiency of OR. In this paper we introduce the concept and methods of process, and doa research for OR process in hospital A with the thought of process management. We use Pro-model to build a model for the present and optimized process...
This report presents results from the Video Person Recognition Evaluation held in conjunction with the 11th IEEE International Conference on Automatic Face and Gesture Recognition. Two experiments required algorithms to recognize people in videos from the Point-and-Shoot Face Recognition Challenge Problem (PaSC). The first consisted of videos from a tripod mounted high quality video camera. The second...
In this paper, a communication-based fault detection and isolation strategy for multi-agent systems is proposed and all the fault processing operations are achieved by controlling the contents of communication. A fault detection scheme based on the gossip algorithm and status information exchange is introduced first. Then, a new fault isolation and recovery algorithm is designed to moderate its negative...
This paper studied the modeling and simulation of the public opinion propagation in the small-world network. The public opinion information propagation characteristics were firstly analyzed, and different states of the people in the propagation environment were proposed. Based on that, this paper constructed the public opinion propagation model based on the agent modeling method, and proposed the...
Performance of power transmission lines has a great impact on reliability of a particular power supply system of a country. Unreliable power transmission lines can even lead to total power failures resulting with great financial losses. The lightning back flashover effects are recognized as one of the major causes of transmission line outages. In the research on lightning resisting level of transmission...
With the development of the smart grid and the increasement of the electric vehicles (EVs) market penetration besides the construction of EV battery switching stations, the large amount of retired batteries shall form a significant issue in the near future. Therefore the secondary service of the retired EV batteries is critical for the adoption of the EVs and the economical operation of the power...
Wind energy is one of the most important renewable energy sources for its clean and sustainable characteristics and has become an important part in the sustainable development strategy of the world. However, with the wind turbine capacity enlarged and the increasement of wind farm scale, the fault management issue aims to the wind farm has become increasingly prominent. This paper provides an agent-based...
The aim of term semantic orientation analysis is to mine the sentiment polarity of words and phrases from their contexts. This paper presents a novel algorithm called Affinity Propagation to analyze semantic orientations of terms. Specifically, we build an informative graph from text corpus using an efficient Word Activation Force model and regard each term as a node in the graph. Then we propagate...
We prove that the forward looking Nash equilibrium (FLNE) from the angle of dynamic strategic bidding is the subset of locally envy-free equilibrium. For limiting vindictive bidding in GSP and "sawtooth" bidding in GFP, we introduce a new pricing strategy and analyse its equilibrium and properties.
In this paper, the frequency-domain physical optics expression is derived from the normal electromagnetic scattering field calculation, and the general time-domain physical optics (TD-PO) expression is derived by inverse Fourier transform, and thus a time-domain physical optics calculation formula of an ideal conductor's scattering in the far field region is given. The metal plate and metal sphere's...
Visual simulation system is an important part of VR(Virtual Reality), and control law simulation is a general method of verifying the control algorithm. A visual simulation system that combined with control law simulation system was constructed for the application of pilot simulation training and as a method for the control designer to observe the control effects in visual forms. In this system, the...
Emotional states are part of the information that is conveyed in many forms of network reviews. This paper presents a new sentiment polarity recognition model based on linguistic structure of emotion states-fixed sentiment terms model. The proposed method uses three types of specific collocation pattern to construct the recognition algorithm based on fixed sentiment terms. These feature term sets...
In wastewater treatment plants, It's difficult to acquire online data of BOD5 (Biochemical Oxygen Demand for 5 days) due to its characteristic and unreliability of on-line sensors. Furthermore, although soft sensors models are widely used in wastewater treatment, only a few approaches for soft sensors models are designed to address the problems currently existing in the wastewater treatment. In such...
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