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States of human teleoperator have great impacts on teleoperation. However, most research investigated the stability or telepresence of the telerobotics, but few of them focused on the effect of the teleoperator. This paper presents an on-line skill assessment method in the teleoperation, based on a new concept named by skill of teleoperator (SoT), which represents the skill level of the human teleoperator...
We demonstrated a novel self-clocking based on in-band phase-modulated pilot insertion and extraction for ultra-high speed optical time-division multiplexing (OTDM) signals. The clock recovery function is realized by inserting at the transmitter and extracting at the receiver an in-band phase-modulated pilot that is located in the data spectrum, which eliminates the need for an ultra-fast phase comparator...
This paper presents a path planning approach to the transportation of biological cells with combined robotics and optical tweezers technologies. A rapid path planner based on RRT (Rapidly-exploring random trees) algorithm is applied to find a collision-free path for automatic cell transportation. The optical tweezers are employed to trap and move the cell along the generated path toward a pre-specified...
Teleoperation systems extend the ability of human power to manipulate objects in distant locations and have a wide range of applications in many areas. For decades, most researchers focused on the stability and telepresence of the teleoperation systems. Few of them have studied the influence of the teleoperation condition variables on the telerobotic operations, such as the quality of teleoperator,...
The generation of stereo side information has become one of the hot research topics in Distributed Multiview Video Coding. The Approximate Disparity Estimation algorithm which employs the approximate disparity vectors to estimate the inter-view side information is presented in this paper. After introducing and improving the Encoder Mask Fusion algorithm, another fusion method, named Encoder-assisting...
Cloud classification plays an essential role in a large number of applications. However, this issue is particularly challenging due to the extreme appearance variations under different atmospheric conditions. In this paper, a novel descriptor named illumination-invariant completed local ternary pattern (ICLTP) is proposed for cloud classification. The proposed descriptor effectively handles the illumination...
Recently, attributes have been introduced to help object classification. Multi-task learning is an effective methodology to achieve this goal, which shares low-level features between attribute and object classifiers. Yet such a method neglects the constraints that attributes impose on classes which may fail to constrain the semantic relationship between the attribute and object classifiers. In this...
Background modeling from a stationary camera is a crucial component in video surveillance. Traditional methods usually adopt single feature type to solve the problem, while the performance is usually unsatisfactory when handling complex scenes. In this paper, we propose a multi-scale strategy, which combines both texture and color features, to achieve a robust and accurate solution. Our contributions...
Resting state functional magnetic resonance imaging (rsfMRI) is a relatively new and an powerful method for evaluating regional interactions that occur when a participant is not performing an explicit task. Because of sensitiveness to time delay and length of time courses, respectively, traditional methods of correlation and coherence based on region of interest are not very suitable for rsfMRI. In...
Energy efficiency has drawn considerable attention in booming economy. Despite energy conservation has received much attention in industry, energy minimization has not been sufficiently studied in robotics society. This paper extends a previous report of our study on optimal motion planning of a mobile robot with the objective of minimum energy consumption [1]. The new contribution of this paper lies...
Water droplet size of disperse phase of watered fuel oil, which was prepared by a self-made mechanical micro-mixing device, was inspected under optical microscope. The effects of agitation speed, oil temperature and water content on water droplet size were investigated in this research. The experimental results showed that: water droplet size decreases with the increase of agitation speed and oil...
Considering unstable oscillation in the process of rotating machinery caused by changing in load lubrication and gear meshing stiffness in shaft system, the coupled nonlinear dynamic equation of rotating mechanical drive system is established with time-varying stiffness and nonlinear friction force based on Lagrange theory. The average equation of system is solved with the aid of method of multiple...
This paper investigated the application of UAV-based photogrammetry for accurate 3D mapping in mine areas. The workflow was proposed, including ground control network design, image acquisition, 3D mapping and information extraction, and accuracy evaluation. In image processing, the methods for accurate geo-referencing, DTM/DOM generation, and ortho-image generation were discussed. In the end, accuracy...
Classification accuracy is a very important evaluation criterion for the method of classification and multi-label classification. In this paper, from the perspective of granular computing, we present an unified measurement criterion for the accuracy of multi-label classification method based our previous works. Then important example is illustrated to understand this evaluation criterion.
As an important component of ship navigation and monitoring system, communication software integrates the functions of data acquisition, communication and display into a whole, and is the key links of intelligent maritime transportation. Based on TCP/IP (Transmission Control Protocol / Internet Protocol) protocol, communication procedure between server and clients is introduced with sequence diagram...
The uncertainty measurement of rough sets is one of the key problems in the rough set theory. The rough membership function provides a new interpretation for rough sets and serves as an approach for measuring their uncertainty. This paper presents a novel measure of fuzziness based on covering generalized rough sets and its properties. We define the rough membership function for the fourth type of...
In this paper, we proposed a dynamic analysis model which combines grey GM(1,1)model and Markov chain model as the Grey-Markov model to predict the cargo throughput. Because the forecasting accuracy of single grey GM(1,1)model is lower. The Grey-Markov model can improve the accuracy prediction for the cargo throughput. The new combined model has the advantages of both Grey forecasting method and Markov...
We proposed A novel method for characterizing the parasitics of semiconductor laser diode through measuring its scattering parameters. Experiments are designed and performed using our method, and furthermore, how the parasitic element affects the parasitics of semiconductor laser diodes is investigated. Our method only needs reflection coefficient of semiconductor laser diode to be measured, which...
In the literature of human action recognition, despite promising results have been obtained by the traditional bag-of-words model, the relationship among spatiotemporal points has rarely been considered. Furthermore, serious quantization error also exists in this kind of strategy. In this paper, we propose a novel coding strategy named contextual Fisher kernels to overcome these limitations. We add...
Traditional sparse coding has been successfully applied in texture and image classification in the past years. Yet such kind of method neglects the influence of the signs of coding coefficients, which may cause information loss in the sequential max pooling. In this paper, we propose a novel coding strategy for ground-based cloud classification, which is named soft-signed sparse coding. In our method,...
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