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Migration of the central idea of sub-theme content sufficiently reflects development of the idea of an article. The main purpose of topic segmentation is to identify the boundary between sub-themes. Accurate topic segmentation is of great value to many natural language processing applications such as automatic summarization, request-answering system etc. This paper proposes a method of topic segmentation...
In recent years, there has been an increasing interest in user modeling, because of its extremely wide usage in real world applications, such as recommendation systems and personalized services. However, a large number of researchers have been devoted to focusing on developing a user model that can only facilitate their own applications, which has limited the rapid advances in user modeling research,...
In this paper, we present a fault detection scheme based on self-clustering nodes sets for wireless sensor networks. In WSN, sensors' measurements are spatially related, and fault nodes can be detected by local comparisons. We firstly cluster nodes into several sets by the similarity of nodes' measurements using self-clustering algorithm. Nodes in the several top large-scale sets are mainly credible...
This paper propose a novel scheme combining wavelet packet denoising and cyclic spectrum feature to detect signal. Since many non-stationary signals existing in communication system have cyclostationnary features, signals can be detected by taking advantage of cyclic spectrum. But when the signal spectrum has more complex structure, the noise component is too large or noise itself has cyclostationary...
This paper analyzes the principle and disadvantaged of traditional vehicle dispatching and burglarproof apply GPS (Global Positioning System) technology. Base on the learning principle of variable structure fuzzy neural network (VS_FNN), VS_FNN is applied on GPS vehicle dispatching. The result of simulation experiment indicates that the application of VS_FNN on GPS vehicle dispatching greatly promotes...
Identity authentication is one of the important methods to solve the security problem of industrial monitoring and controlling system under the mode of the Internet of Things (IOT). Based on regarding the function framework of LED display screen monitoring platform, the general technique scheme of the platform is introduced, the database of the platform is designed and the transmission realization...
In this paper, the problem of blind estimation of the convolutional interleaving parameters, an important feature parameters of communication emitter, is studied. The unitive mathematical model of the convolutional interleaver was presented and the blind estimation of convolutional interleaving parameters has been investigated using characteristics of scrambled sequences in this paper. The proposed...
Method of DNSSEC traffic measurement is introduced based on the identification of resource records in DNSSEC. Through the analysis of DNSSEC traffic in several levels which are resource record type, packet length, signature property, and IP features, characteristics of DNSSEC traffic can be concluded. Results show that above 78% of DNSSEC packets are NSEC3 packets, and this means there are too many...
A novel particle-PHD filter algorithm is proposed to deal with the multi-target tracking. It takes into account the most recent measurements by the unscented Kalman filter, not in the step of proposal distribution generation as usual, but in resampling step, to enhance the efficiency of the particle sampling. Simulation results show that the proposed algorithm outperforms the algorithms in the literature...
With the growing popularity of smart phones and the richness of Geographic information databases, map-based applications have become an indispensable part in people's daily life. However there is a common problem in online maps which is the high consumption of network traffic. Using offline maps is a good solution to this problem. During the development of NKCampus which is an online/offline map application,...
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