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Insider threats can cause immense damage to organizations of different types, including government, corporate, and non-profit organizations. Being an insider, however, does not necessarily equate to being a threat. Effectively identifying valid threats, and assessing the type of threat an insider presents, remain difficult challenges. In this work, we propose a novel breakdown of eight insider threat...
Aiming at features of strong randomicity, complexity and nonlinearity in highway freight volume, two forecasting models based on support vector machine (SVM) and least squares support vector machine (LSSVM) are proposed. Comparative research and numerical calculation on these two models shows that the forecasting precise based on SVM is better than LSSVM's, and computational speed of the latter is...
This paper introduced the adoption of a Track Sensor on the satellite of the STSS to improve the precision of the STSS. The concepts of space coverage were proposed and the corresponding models established. A simplified computation strategy of space coverage was proposed to obtain the simulation results. Space coverage rate under different scenarios was simulated as well as its characteristics illustrated...
In this paper, a parallel three-dimensional dispersive FDTD method is introduced to model a nanolens. The device has its potential in subwavelength imaging at optical frequencies. The finiteness of such a nano-device and its impact on the system dynamic behavior is numerically exploited.
This paper deducted the specific form of Cramer-Rao lower bound (CRLB) for the initial state estimation for the boost phase object based on the 8-state gravity turn model using space-based observations and illustrated the computation process with examples. In addition, the geometrical comprehension of the Fisher information matrix (FIM) of the single observation is presented, and how a target's launch...
With the development of miniaturized wireless wearable and implantable medical devices, pervasive monitoring is becoming a clinical reality. With an increasing drive for minimizing power utilization, optimal antenna design and radio wave propagation are important topics for BSN (body sensor networks) research. To this end, subject-specific modeling is essential for achieving a truly personalized and...
According to the structural characteristics of Ontology model, analyze the concept similarity computation basing on the width, depth and density among the concepts of Ontology model. Consider these aspects as structural fact and combine other facts such as semantic contact ratio and semantic distance, an algorithm of semantic similarity computation based on ontology structure is proposed. Through...
Aiming at manually carry through optimization of experiment way adopted for traditional PID controller parameter, an optimization method based on improved ant colony algorithm for PID parameters of BP neural network is presented. The improved ant colony algorithm and BP neural is organically combined by this method. Which not only overcomes effectively the shortcoming of BP algorithm on some degree...
This paper presents a simulation environment, based on the parallel finite-difference time-domain (FDTD) method, for subject-specific radio channel modeling in wireless body sensor networks (WBSNs). The simulation environment takes into account realistic antenna radiation patterns in channel modeling to analyze their effects on WBSNs. The proposed simulation tool is applied to a study of body communication...
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