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The purpose of this research is to provide a puzzle-based framework to study how global and local information is interacted on human's visual perception during the decision making process. Since the Deep Convolutional Neural Networks (DCNN) has shown the state of the art performance in image classification and object detection, DCNN can output scores to reflect the level of global information, which...
Currently, in 3D point cloud data field, different methods based on multi-value characteristics, which are utilized to measure the similarity between different point cloud data, are developed. These features are more dependent on low dimensional normal vector and curvature. In this paper, feature histogram of each point of the point cloud is calculated in high dimensional space. Through global feature...
In cognitive radio networks, spectrum sensing and access scheme affects the system performance. In this paper, a new wideband mixed access scheme is proposed, in which the Secondary Users (SUs) sense the channels via wideband spectrum sensing, and access them with a mixed access strategy. In order to maximize the ergodic throughput of SUs, we find optimal sensing time and transmission power of each...
To find all extreme points of multimodal functions is called extreme problem, which is a well known difficult issue in optimization fields. Applying the ant colony optimization (ACO) to solve this problem is rarely reported. The method of applying ACO to solve extreme problem is explored in this paper. Experiments show that the method presented in this paper generates solution with high quality, and...
In this paper, a new steganography method that hides message via various animation timing effects in a PowerPoint file is proposed. The animation effects are designed for the presenter to emphasis the key points, control the flow or enrich the interesting in presentation. Then the animation timing effect is the speed, time and repeat control part of animation effect. It is worth mentioning that adding...
A linear Kalman filter based on a reduced order electrochemical model is designed to estimate internal battery potentials, concentration gradients, and state of charge (SOC) from external current and voltage measurements. The estimates are compared with results from an experimentally validated one-dimensional nonlinear finite volume model of a 6 Ah hybrid electric vehicle battery. The linear filter...
As mobile wireless networks increase in popularity and pervasiveness, seamless mobility is an important paradigm for uninterrupted services in ubiquitous network environments. In this paper, we propose a zero packet loss handoff mechanism for real-time streaming services, which is based on the SIP protocol cooperated with mobile agent, multicast, and buffering technique to overcome the affects of...
Linear motion and out-of-focus blur often coexist in a surveillance system, which degrade the quality of acquired images and thus complicate the task of object recognition and event detection. In this work, we present a point spread function-based (PSF-based) approach considering fundamental characteristics of linear motion and out-of-focus blur based on geometric optics to restore coexisting motion...
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