Advanced Materials Research Vols. 718-720

Abstract: In this paper, the Gabor fused features are combined with multi-level histogram sequence to extract facial features in order to overcome the disadvantage of traditional Gabor filter bank, whose high-dimensional Gabor features are redundant and the global features representation capacity is poor. First, we get the standard face by face detection, eyes location, geometric normalization and illumination normalization. Second, to extract the multi-orientation information and reduce the dimension of the features, a fusion rule is proposed to fuse the original Gabor features of the same scale into a single feature, and then the fused image will be divided into multi-level changeable units, and the histogram of each unit is computed and combined as facial features. Experimental results on ORL via MATLAB show an encouraging performance for face recognition.

Abstract: Concerning simple and unscientific of Yunnan herbal medicine identification method, a kind of identification method based on Artificial Immune Network was proposed in this paper. Using high performance liquid chromatography extracts fingerprints from Yunnan herbal medicine,and then the data of fingerprints were trained by the Artificial Immune Network. In comparison with the traditional K-means algorithm,the experiment results show that Artificial Immune Network has higher classification and recognition ability.

Abstract: The uptake of semantic technology depends on the availability of useful tools that enable Web developers to generate linked course data automaticly. RDF triple allows web page to contain machine-readable content that is easier to find and mashable with other content. This paper describes a framework that turns this idea around, using RDF as a template language for the generation of machine-readable triple from human-readable data on Web page. Most existing methords generate RDF triple by combining the template with query results from a relational database. In the Linked Course Data Generating framework, the raw course data is turned into RDF triple, then is turned into linked data, finally is turned into ontology. This paper evaluates the performance of framework.

Abstract: NMTF(Normalizing Mapping Training Framework) operates by mapping initial cluster centers and then iteratively training points to clusters base on the proximate cluster center and updating cluster centers. we regard finding good cluster centers as a normalizing parameter estimation problem then constructing the parameters of other normalizing models yields a space of novel clustering methods. In this paper we propose the idea using abstract of a text to members of a data partition in place of estimation of cluster centers. The method can accurately reconstruct meaning representation group used to generate a given data set.

Abstract: An issue of diagonal stripe patterned color filter array (CFA) is introduced in this paper. This is a procedure known as color interpolation, aka demosaicking. Both of objective and visual assessments are researched, and the simulation results are shown in the paper. It was found that our proposed filter yields good objective performance with excellent visual quality.

Abstract: In order to test the security of cryptographic devices against Side Channel Attacks (SCA), an automatic general-purpose power analysis system (TH-PAS-01) is designed and implemented. TH-PAS-01 is scalable and can be applied to many cryptographic devices when specific modules are installed. Using the system TH-PAS-01, correlation power analysis (CPA) are carried out on an AES chip under two working models: normal and shuffling mode. The security level of the countermeasure provided by the target chip is verified by TH-PAS-01. The experimental results show that the correct key of the AES chip is obtained with around 50,000 power traces when the chip was working under normal mode, while the whole key bits are not obtained with 960,000 power traces when the chip works under shuffling mode. The automatic general-purpose system TH-PAS-01 is feasible for security analysis on power analysis for cryptographic devices.

Abstract: In this paper, the application mode of internet of things is analyzed and expounded in detail according to current IOT (Internet of Things) application content. Firstly, the application mode is divided into three kinds on a substantial use side. Secondly, the future five kinds of IOT business mode are given from an operational standpoint. Finally, the IOT is technically divided into three operation modes which are based on RFID, WSN and M2M respectively to solve the problem of redundant content and the chaos mode problem. Thereby, the IOT application mode can be normalized and can develop continuously.

Abstract: With the rapid development of science and technology, the concept of smart grid is proposed and continuously developed. Its inevitable to apply the current technology of Internet of Things (IOT) to Smart Grid, to make peoples access to power resources more intelligent, convenient. Considering on the actual situation, this paper starts from the smart grid concept, then makes an illustration on the relationship between the Internet of Things and Smart Grid, and detailed application analysis on seven actual cases about Things Networkings using on the Smart Grid, at last the elaboration of the development prospects and the importance of the combination of IOT and Smart Grid.

Abstract: With the governments strongly support and promotion, IOT (Internet of Things) has become popular in our life nowadays. In order to build China national IOT application technology, in this paper, IOT application architecture based on Beidou navigation system is presented and analyzed in detail. And the IOT network layer, which consists of wireless sensor network, cellular mobile communication network and Beidou navigation system, is mainly expounded. This architecture not only expands coverage area of IOT, but also enhances reliability and economical efficiency of the whole IOT system. Thereby, it can bring more new applications in IOT field.

Abstract: This paper probes the design and realization of the real-time transmission system of computer screen based on intranet and its focus problem is on screen catch and dynamic image real-time transmission by VC++. This system is able to realize loads balance and minor resource occupancy, so it is especially useful to multi-network classroom teaching.