For the global navigation satellite system (GNSS) cannot meet the positioning requirements under occlusion or malicious interference, this paper proposes a receiver self-localization method using long-term evolution (...
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With the increasingly prominent role of high-tech weapons in modern warfare, electronic warfare has also become a topic that has attracted worldwide attention. At present, global electronic warfare is in an important ...
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Described a laser range-gating imaging principle, pointed out the key issues in system design, design and implementation of FPGA-based laser range-gating images systems. System uses the rangefinder, adjustable pulsed ...
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We analyzed the space overlap of laser transverse modes inside cavity of a Tm:YAP laser and derived the formulae of laser pump power distribution on variable harmonic transverse modes. The method for reducing the infl...
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The geometric and motion characteristics of false targets are more similar to those of real targets. The detection accuracy of traditional infrared radiation characteristics methods for infrared targets is obviously l...
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This paper details the radiation of laser induced air plasma. The plasma was produced by interacting the air with the Nd: YGA laser focused with optical lens. The relationship between spectrum of laser - induced air p...
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An effective text representation scheme dominates the performance of text categorization system. However, based on the assumption of independent terms, the traditional schemes which tediously use term frequency （TF）...
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An effective text representation scheme dominates the performance of text categorization system. However, based on the assumption of independent terms, the traditional schemes which tediously use term frequency （TF） and document frequency （DF） are insufficient for capturing enough information of a document and result in poor performance. To overcome this limitation, we investigate exploring the relationships between different terms of the same class tendency and the way of measuring the importance of a repetitive term in a document. In this paper, a group of novel term weighting factors are proposed to enhance the category contribution for each term. Then, based on a novel strategy of generating passages from document, we present two schemes, the weighted co-contributions of different terms corresponding to the class tendency and the weighted co-contributions for each term in different passages, to achieve improvements on text representation. The prior scheme works in a dimensionality reduction mode while the second one runs in the conventional way. By employing the support vector machine （SVM） classifier, experiments on four benchmark corpora show that the proposed schemes could achieve a consistent better performance than the conventional methods in both efficiency and accuracy. Further analysis also confirms some promising directions for the future works.
A fault attack of SMS4 based on internal collision is proposed. The method assumes that the attacker can attack under the condition of selecting plaintext, and adopts the byte-oriented random fault model to successful...
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Due to the popularity of Windows system, BitLocker is widely used as a built-in disk encryption tool. As a commercial application, the design of BitLocker has to consider a capability of disaster recovery, which helps...
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Power control is one of key technologies for Cognitive Radio Networks (CRNs) since it can protect Primary Users (PUs) in the networks and guarantee Quality of Service (QoS) requirements for Second Users (SUs). In this...
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