This letter focuses on the performance analysis on the Adaptive Sidelobe Blanker (ASB) detection algorithm in homogeneous environments, and provides closed summation expressions for Probability of Detection (PD) and Probability of False Alarm (PFA) rate in terms of hypergeometric function. The derived results are more powerful and effective than previous integral ones. Moreover, the framework can be modified to solve the the performance analysis problem involving in F or/and beta distributions. Several numerical evaluations of the convergence rate and computation time are provided and discussed.

Event-centered information integration is regarded as one of the most pressing issues in improving disaster emergency management. Ontology plays an increasingly important role in emergency information integration, and provides the possibility for emergency reasoning. However, the development of event ontology for disaster emergency is a laborious and difficult task due to the increasingly scale and complexity of emergencies. Ontology pattern is a modeling solution to solve the recurrent ontology design problem, which can improve the efficiency of ontology development by reusing patterns. By study on characteristics of numerous emergencies, this paper proposes a generic ontology pattern for emergency system modeling. Based on the emergency ontology pattern, a set of reasoning rules for emergency-evolution, emergency-solution and emergency-resource utilization reasoning were proposed to conduct emergency knowledge reasoning and q.

The integration of social networking concepts into the Internet of Things has led to the Social Internet of Things (SIoT) paradigm, and trust evaluation is essential to secure interaction in SIoT. In SIoT, when resource-constrained nodes respond to unexpected malicious services and malicious recommendations, the trust assessment is prone to be inaccurate, and the existing architecture has the risk of privacy leakage. An edge-cloud collaborative trust evaluation architecture in SIoT is proposed in this paper. Utilize the resource advantages of the cloud and the edge to complete the trust assessment task collaboratively. An evaluation algorithm of relationship closeness between nodes is designed to evaluate neighbor nodes' reliability in SIoT. A trust computing algorithm with enhanced sensitivity is proposed, considering the fluctuation of trust value and the conflict between trust indicators to enhance the sensitivity of identifying malicious behaviors. Simulation results show that compared with traditional methods, the proposed trust evaluation method can effectively improve the success rate of interaction and reduce the false detection rate when dealing with malicious services and malicious recommendations.

A high efficiency SiGe HBT differential power amplifier with an open collector adaptive bias was successfully demonstrated. A novel linearizer consists of an open collector heterojunction bipolar transistor bias circuit and an MOS feedback diode was proposed, which achieved better power added efficiency (PAE) than that of traditional adaptive bias circuits. The size effect of linearizer was investigated and the impedance ratio (R1/R2) between the linearizer and the main amplifier was optimized by the factor of 3. The measured differential power amplifier achieved an output 1-dB compression point (P1 dB) of 18.7 dBm with PAE of 31.2%, the output second order intermodulation point (OIP2) of 59 dBm, and third-order intermodulation point (OIP3) of 28 dBm. Compared to traditional adaptive bias technique, the proposed linearizer power amplifier effectively improved the PAE. The fabricated die size including pads is less than 0.925 mm2 and suitable for highly integrated linear drive amplifier.