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Some researches have been carried out to deal with the distributed architectures of AGV (Automated Guided Vehicle) systems for ADMS (Autonomous Distributed Manufacturing Systems). However, motion analyses of individual AGV and their influence on efficiency of transportation processes are not considered enough. The Social Force Model is introduced to represent physical interactions and congestions...
This paper builds a five hierarchic multimodal human-computer interaction framework by studying two technologies of human-computer interaction integration framework technology and command control system session management technology. In order to improve interaction nature degree, interaction efficiency and intellectualized service level in command control system, the new human-computer interaction...
Microfabricated interdigitated electrode chips have been designed for use in a unique gold-nanoparticle based biosensor system. The use of these electrodes will allow for simple, accurate, inexpensive, and portable biosensing, with potential applications in diagnostics, medical research, and environmental testing. To determine the optimal design for these electrodes, finite element analysis simulations...
Conductive adhesive became solid at low temperature compared with Pb/Sn solder melting point. It was used as micro-interconnection material for those temperature sensitive components. In this paper, experiments were conducted to characterize conductive adhesive joints at microwave frequency. A microwave switch was attached on aluminum substrate by conductive adhesive. The tests on shear force and...
Over the past decades, we have witnessed the growth demands of portable lab-on-chip biosensors. These lab-on-chip devices are mostly powered by battery, and intelligent power management systems are required to provide supply voltage for different functional units on biosensors (e.g. a microfluidic control system might require higher voltage than the rest working units of biosensors). In this paper,...
Computer aided diagnosis (CAD) is an important issue, which can significantly improve the efficiency of doctors. In this paper, we propose a deep convolutional neural network (CNN) based method for thorax disease diagnosis. We firstly align the images by matching the interest points between the images, and then enlarge the dataset by using Gaussian scale space theory. After that we use the enlarged...
This paper presents a control problem for a class of DC motor nonlinear systems with output constraints, and the constraints are in time-varying form. Based on the dynamics system of the DC motor, a nonlinear model of the system with modeling uncertainties is established. Then, an asymmetric time-varying Barrier Lyapunov Function (BLF) is proposed to guarantee the output to meet the constraints and...
Weyl point is a topological point in three dimension momentum space and each Weyl point acts as a monopole of Berry flux. Weyl points with topological charges of the same sign can merge in the momentum space to forma multi Weyl point if certain symmetry conditions are satisfied. Here, we show that Weyl points with topological charges 1 and 2 can be found in a certain class of photonic crystals. Such...
The use of multisensors images for different applications, like change detection and image fusion, require an image to image registration. Actually, the image registration becomes a crucial task with the continuous increase in image resolution, especially in urban area. In this paper, a refined automatic Mutual Information based registration approach of spaceborne Synthetic Aperture radar (SAR) and...
How to land safely on an aircraft carrier is an important problem for carrier plane. This paper proposes that the relative navigation information of GPS and vision based navigation are integrated with airborne INS and shipboard INS to get accuracy plane-ship relative position which will be used to guide carrier plane to land. CDGPS is used to calculate the plane-ship relative position. Acceleration...
Consensus is a fundamental problem for cooperative control of multi-agent system. The leader-following consensus is that the follower agents eventually reach an agreement on the state of a preassigned leader. A majority of existing research is focused on the leader-following consensus problem assuming that the parameters of follower agents are uncertain. However, they don't consider the leader dynamic...
Mode-mixing, boundary effects and necessary extrema lacking and etc. are the main problems involved in empirical mode decomposition (EMD). The paper presents an improved empirical mode decomposition based on assisted signals: Gaussian noises. Firstly, the given 1D Gaussian noise and its negative counterpart are added to the original respectively to construct the two s to be decomposed. Secondly, the...
The MicroWave Radiation Imager (MWRI) onboard FengYun-3C (FY-3C) Satellite is a total-power radiometer observing earth surface and atmosphere at 10.65, 18.7, 23.8, 36.5 and 89 GHz with dual polarization. The on-orbit test of FY-3C MWRI was performed shortly after the launch of platform. Sensor performance factors include receiver sensitivity black body stability and scan period stability were tested...
The region of interests (ROI) detection plays an important role in the remote sensing data processing and analysis. In this paper, a new region of interest detection method based on salient feature clustering for remote sensing images is proposed. Four steps are included in the proposed method. First, the information salient feature maps are constructed by computing the spectrum information and histograms...
Cable-driven mechanisms have been widely used as compliant actuators in surgical robots over last decades due to their superior performance of dexterous operation in confined workspace. And minimally invasive surgery (MIS) is one of the most important applications of such systems. In MIS, point to point reaching and targeting behavior is the most fundamental movement primitive, typical examples include...
With the rapid development of virtual realities, it becomes possible nowadays for industrial practitioners to incorporate these technologies into their own applications. In air cargo industries, operating the air bridge system is of high importance, but due to the limited resources and potential damages to the aircrafts, training every operator in real world systems is difficult. To solve this problem,...
This study proposed a novel method to analyze slick-free and oil covered sea surface backscattering in the special case of Deepwater Horizon (DWH) oil spill accident based on combination of tilted Bragg scattering and volume scattering components. The DWH accident represents a particular and challenging case due to the very large amount of leaked oil that came from the bottom of the ocean. The proposed...
Deep belief networks (DBNs) are graphical models which learn to extract the deep hierarchical representation of the input data. Restricted boltzmann machines can be stacked and trained in a greedy manner to form deep belief networks. The combination of deep belief networks and the classifier is used for data classification. However, with the increase of the size of the training set, it requires a...
With the high demand for renewable energy sources such as wind turbines, the future distribution systems and/or microgrids will face more challenges in energy management, due to the intermittency of renewable power generation. By buffering such uncertain power supplies, community energy storage (CES) systems can provide dispatchable capacities and are effective tools to harness renewable power in...
Redundant robot manipulator is a kind of robot arm having more degrees-of-freedom (DOF) than required for a given task. Due to the extra DOF, it can be used to accomplish many complicated tasks, such as dexterous manipulation, obstacle avoidance, singularity avoidance, collision free, etc. However, modeling the inverse kinematics of such kind of robot manipulator remains challenging due to its property...
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