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The widespread application of camera-based surveillance systems has inspired extensive investigation on human localization. In this paper, we proposed a device-free localization method using panoramic camera and indoor map. The proposed method is able to provide precise location information of human object without any terminal device. After preprocessing the images observed with a panoramic camera,...
To cope with the significant computational complexity introduced by High Efficiency Video Coding (HEVC) standard, several parallelization schemes are introduced, such as Tiles, Wavefront parallel processing(WPP) and Dependent slice segments. These coding structures make multi-core processing possible. In this paper, we analyzed the degree of parallelism WPP can achieve and then proposed a multi-threaded...
Side-channel attacks and fault attacks use the physical interactions with cryptographic devices to achieve the shortcuts of recovering the secret key. For side-channel attacks, physical information leakage during the cryptographic calculation is measured and statistically analyzed to reveal the intermediate values. For fault attacks, computational faults are intentionally triggered to obtain faulty...
Public cultural services are developed rapidly. The growth of the data related to the public cultural services are dramatically. It needs big data technologies for processing the massive public cultural data. This paper proposes a big data analysis platform for facilitating the public cultural services. The platform collects cultural data from public cultural institutions and analyzes the data by...
LDA-based topic analysis is widely used in text mining field. Considering the large scale of web documents, document clusters are usually analyzed instead of single ones. However, the existing visualizations of LDA-based clustering do not intuitively present contents of hot topics while maintaining the relationships between the topics and the document clusters. In this paper, we propose an integrated...
Entity resolution is the basic operation of data quality management, and the key step to find the value of data. The parallel data processing framework based on MapReduce can deal with the challenge brought by big data. However, there exist two important issues, avoiding redundant pairs led by the multi-pass blocking method and optimizing candidate pairs based on the transitive relations of similarity...
The big data collection and analysis of public digital culture sharing service is researched in this paper. Big data includes three types of data, namely: ancillary service data, public digital culture sharing service platform operation data and user data. The aim is to build a data analysis platform for the three classes of data. Through the analysis of the three types of data collected, the use...
Big data processing is one of the hot scientific issues in the current social development. MapReduce is an important foundation for big data processing. In this paper, we propose a semantic++ MapReduce. This study includes four parts. (1) Semantic++ extraction and management for big data. We will do research about the automatically extracting, labeling and management methods for big data's semantic++...
As a popular type of parallel evolutionary algorithms, distributed evolutionary algorithms (DEAs) are widely used in a variety of fields. To get better solutions of concrete problems, a scheme of subpopulation diversity based accepting immigrant in DEAs is proposed in this paper. In migration with this scheme, an immigrant will be put into its target subpopulation only if its current diversity is...
Rotation scale and translation invariant (RST-invariant) feature extraction methods play a critical role in optical Chinese character recognition. However, vast majority of them either has a strict constraint of input image, or has a poor performance on discriminating similar Chinese characters. In this paper, a novel method called Sector Projection Fourier Descriptor (SP-FD) is proposed. SP-FD is...
Ethernet plays the dominant role in the local area networks (LAN) because of its low-cost, self-configuration capability and “plug-and-play” feature. However, it is hard to extend to large scale because of the legacy broadcast-based service discovery model. For example, users acquire necessary network configuration information (e.g. IP address, subnet mask, default gateway) automatically relying on...
Signatures responsible for authentication, authorization, etc, are important in many workflow applications. Most studies associated with signatures are focused on digital signatures only, and modeling of signature workflows is seldom studied. However, the dependencies between signatures can be complex, and thus modeling signature workflows becomes time consuming and error-prone. In this paper, we...
To move applications to the cloud is not only a technical decision but also a business-oriented decision, in which both business and technical factors (e.g. transformation effort, multi-tenancy and auto-scaling enablement, scalability and extensibility) should be considered. However, existing approaches and tools do not support a consumable business oriented cloud transformation decision to select...
The video sequence which contains certain human action is considered as a spatio-temporal volume. There exists certain characteristic signature in appropriately selected spatio-temporal slice of the video sequence. By using these discriminative signatures which we call “human action logos”, new approaches are proposed for period detection and action recognition. Algorithm performance is evaluated...
In this paper, we consider a production scheduling problem with multi-time interval. Because of the differences of processing order and the processing time, the conflict among different jobs using the same machine and the restriction on the start time of every job, this job shop has become a very complicated problem. In order to solve this problem, a mixed integer programming scheduling model for...
The maximum entropy model as a statistical method is effectively used in many fields. It has many features: for example, subtle features can be controlled, reusable, simple and so easy to understand and so on. This model was first introduced during the sentence segmentation. In this paper, an example of the introduction of the concept of maximum entropy model, about the maximum entropy model was applied...
Pervasive applications, like smart living, geriatrics care, agricultural development, etc, are rapidly developed recently. Situation-awareness and workflow-centric are important characteristics of the applications. Service-oriented architecture which provides flexibility in integrating heterogeneous devices and communication networks might improve the execution of pervasive applications. To integrate...
Previous experience has shown that transit responsive signal control has ability to reduce delay of buses in urban areas when compared to traditional fixed-time control at arterial signal progression. However, most of these experiences have focused primarily on the impact on buses or delay per person. This paper describes development and evaluation of transit passive priority with transit phase overlapped...
Influenced by detector materials' non-uniformity, growth and etching techniques' etc, every detector's responsivity of infrared focal plane arrays (IRFPA) is different, which results in non-uniformity of IRFPA. And non-uniformity of IRFPA generates fixed pattern noises (FPN) that are superposed on infrared images. So the quality of infrared images is poor, which greatly limited the application of...
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