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Along with more and more people and cars appear in cities, the stricter requirements, like traffic efficiency, safety, service and cleanness cannot be met easily by using the existing urban traffic plan and operation management methods, which are normally supported by the separated and partial Intelligent Transportation System (ITS). In this paper, big data platform for urban public transportation...
Availability of wind turbine (WT) is an essential parameter both for wind project feasibility analysis and operation and maintenance optimizations, but in offshore wind farms, it is greatly affected by accessibility which has been seldom considered in traditional reliability evaluations. This paper presents a Markov-chain-based availability assessing model of offshore WT considering accessibility...
Variable stiffness for robotics is attracting increasing attention from researchers in the field of surgical robots. A surgical robot that can access the human colon or stomach via natural orifices must be flexible enough to pass through tortuous paths and to work in a confined space. Meanwhile, the robot must also be stiff enough to ensure pushability and to hold high payloads during the surgery...
This paper considers trajectory tracking of a stratospheric autonomous airship. A new control scheme was proposed based on the computed torque method, a fuzzy approximation system and a compensating controller. Firstly, a dynamic model for the airship was established and the issue of trajectory control was defined. Secondly, a fuzzy adaptive trajectory control system was designed using the computational...
Microsoft Kinect is a motion sensing device that provides users friendly interfaces through natural postures and gestures. In this paper, based on Kinect v2, a system is proposed to control UAV flight, without remote control. In this system, more postures and gestures are defined, thus to easily control UAV flight, than the existing works. Furthermore, the false recognition on some postures are analyzed,...
Accurate estimation of forest biomass is critical in the study of global carbon balance and climate change. This research was undertaken in the Yushan forest, in southeast china. We used metrics extracted from hyperspectral data as predictor variables to establish three types of biomass prediction models, and then the models are verified by cross-validation method. Overall, all of the three types...
With the rapid development of Chinese economy and automotive industry, urban traffic congestion has become increasingly serious. Therefore, how to effectively alleviate the traffic congestion and improve the efficiency of vehicles has become the main concern. Traffic signal control is one of the effective ways to solve urban traffic congestion. In this paper, a traffic signal control method based...
Accurate classification of tree species provides key information for mapping species diversity, managing forest ecosystems and modeling individual tree growth. While airborne Light Detection and Ranging (LiDAR) technology offers significant potential to estimate forest structural attributes, the capacity of this new tool to classify species is less well known. In this research, full-waveform metrics...
This paper provides a classification of in-pipe robots or robotic mechanisms in literature with the help of axiomatic design theory (ADT). The existing classification of these designs focuses on either their mobility or contact of the robot with the pipe inner surface. Such classification fails to provide a framework to guide the design of such robots. In this paper, we first propose a new approach...
Modular Multilevel Converter (MMC) is the latest achievement in terms of the main circuit topology in flexible HVDC, which has the merits of high modular, low harmonic content of output waveform and long maintenance interval. On the basis of analysis of topology and working principle, a strategy which adopts carrier phase shift modulation (CPS-SPWM), is proposed in this paper. Under low devices switching...
Traditional prosthetic fingers use rigid links and kinematic joints, which lead to the fingers that lack adaptability. This paper presents a new design of fingers which are fully compliant for prosthetic applications. A home-based topology optimization method was used for the structural synthesis and dimensional analysis in order to determine the topology and geometry of the finger. A prototype was...
Most previous studies involving public goods games are investigated under a simplifying assumption that participators are compulsive in collective interactions and contribute unconditionally to the public pool. Nevertheless, how the conditional investment mechanism based on individual's reputation affects the evolution of cooperation in structured populations is still unclear. Here we introduce a...
By combining the strong global searching ability of particle swarm optimization algorithm with the fast local convergence of genetic algorithm, a new hybrid multi-objective particle swarm optimization algorithm based on genetic algorithm is proposed in this paper. The geometry of HTV-2 is parameterized in terms of conic control points and shape parameters. And the aerodynamic configuration is optimized...
The attitude control system of Stratospheric Autonomous Airship with highly nonlinear, multivariable and uncertain parameters bring great challenges to control design. A dual sliding mode control was studied in this paper. Firstly, the mathematical model of an attitude motion of the Stratospheric Autonomous Airship was derived. Secondly, the attitude model was divided into a dual loop structures by...
Quantification of forest structure is critical for making management decisions and improving our understanding of forest ecosystem functions. This research investigates the estimation of forest structural variables from small-footprint full-waveform (FW) light detection and ranging (LiDAR) data. This study was undertaken in the mixed subtropical Yushan forest dominated by Masson pine (Pinus massoniana...
In this paper, a method of 3D face model database reconstruction is presented. The proposed method is based on the fact that 3D face model database is widely used in each 3D field, such as 3D face recognition, 3D animation and so on. However, most 3D face databases are built without dealing with data processing, so we can't use them directly in each algorithm. This paper shows how to reconstruct a...
A large number of computer vision applications rely on camera calibration. Camera self-calibration which only depends on the relationship between corresponding points of a pair of images draws much attention for its simplicity. Almost all the camera self-calibration methods rely on the solution of Kruppa equations which are difficult to be directly solved. The state-of-the-art self-calibration algorithms...
Hyper network is a probabilistic graphic model of learning and memory inspired by biomolecular networks, which is very useful for discovering higher-order correlations among multiple attributes. However, as many traditional machine learning algorithms, hyper networks may bias towards the majority class, thus producing poor predictive accuracy over the minority class when learining with imbalacned...
To take better advantage of cloud storage, it is necessary to migrate traditional application to the cloud. In existing cloud storage platforms, files are divided into chunks and redundantly stored, but in such circumstances, random file write may lead to much delay. It is quite common to access file randomly in traditional applications, therefore the performance of traditional application will be...
This paper introduces a face recognition method using Fisher's linear discriminant in the Wavelet domain composed of the Wavelet approximation coefficients (WAFLD). As opposed to other approaches for face recognition, the proposed method makes use of the approximation coefficients matrices obtained by three-level Wavelet decomposition of the input image, and the new image matrix is reshaped by combination...
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