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This paper reviews the literature of technology assessment published over 1977 to 2016 to identify the major research themes over the past four decades. We retrieve 5493 articles from the Web of Science database and construct the citation network among them. By applying the edge-betweenness clustering technique to the citation network and splitting the data into groups, 4 major groups with more than...
Advances in modeling and knowledge representation, data mining, semantic Internet, analytical methods and open data are the basis for new models of knowledge analysis. The growth of information and data exceeds the ability of organizations to analyze them. This problem is particularly expressed in terms of knowledge and learning processes. Analytical methods can be successfully applied in studying...
This paper proposes a novel control scheme for hybrid energy storage system(HESS) in electric vehicles. The HESS above is composed of two parts: fuel cell (FC) and super capacitor(SC). FC, as the main power supply, provides a large proportion of required power. Whereas, SC, as the auxiliary energy storage source, plays a great role when starting and braking an electric vehicle(EV). Both energy sources...
Pantograph arcing is a more and more prominent phenomenon as the increase of pantograph-catenary interaction, especially when the detachment of pantograph-catenary happens. A large amount of arc models are established on train system in order to analyze the influence of pantograph detachment arcing, but have the limitation of setting the pantograph detachment length to a constant. To solve the problem,...
In order to intercept against the fixed, uniform and maneuvering target with a certain impact angle accurately, a circular navigation guidance method based on sliding mode control is proposed in this paper. According to the geometrical analysis of the circular trajectory in a two-dimensional plane, the conclusion that only if impact angle is given, two of any points on the guidance face have a unique...
In the process of alongside replenishment, the tracking control is investigated for supply ship with the influence of highline cable tension and environmental disturbances, and a backstepping method is proposed. The tension change of highline cable is caused by motion trajectory of cargo, cable deflection and transverse distance between two ships. Meanwhile, the mathematical analysis model of the...
Tracking-by-detection has become a popular tracking paradigm in recent years. Due to the fact that detections within this framework are regarded as points in the tracking process, it brings data association ambiguities, especially in crowded scenarios. To cope with this issue, we extended the multiple hypothesis tracking approach by incorporating a novel enhancing detection model that included detection-scene...
This paper presents a framework of simulation-based design for robotic care devices developed to reduce the burden of caregiver and care receivers. First, physical interaction between the user and device is quantitatively estimated by using a digital human simulator. Then we introduce a method for optimizing the design parameters according to given evaluation criteria. An example of trajectory optimization...
The recent advances in Unmanned Aerial Vehicles (UAVs) technology permit to develop new usages for them. One of the current challenges is to operate UAVs as an autonomous swarm. In this domain we already proposed a new mobility model using Ant Colony Algorithms combined with chaotic dynamics (CACOC) to enhance the coverage of an area by a swarm of UAVs. In this paper we propose to consider this mobility...
This study proposes a multi-level trajectory analysis method for modeling traffic behavior from an ego-centric view, where on-road vehicle trajectories are collected based on the authors' previous studies of an on-board system consisting of multiple 2D lidar sensors. From an input set of trajectories, a set of hot regions (topics) that trajectory points most frequently present are first discovered...
This paper proposes an approximate-kinetic-model-based self-adaptive (AKS) control system to rapidly generate target walking speed by an underactuated compasslike bipedal walker. First, a model of the underactuated compass-like bipedal walker is built, and an open-loop system is introduced and analysed as the prototype of AKS system. Second, the control law of AKS is described in detail. The dynamic...
This paper presents a data-driven approach to model planar pushing interaction to predict both the most likely outcome of a push and its expected variability. The learned models rely on a variation of Gaussian processes with input-dependent noise called Variational Heteroscedastic Gaussian processes (VHGP) [1] that capture the mean and variance of a stochastic function. We show that we can learn accurate...
This paper presents a novel locomotion control framework that achieves stable galloping gait for a torque-controlled quadruped robot. By analytically exploiting the stance dynamics of the Spring-Loaded Inverted Pendulum (SLIP) model, a two-layered Dual-SLIP model based Task-space Formulation (DS-TSF) is developed to control the 12-DoF quadruped robot with an active spine. On the higher layer, a dead-beat...
A loss-of-thrust UAV (unmanned aerial vehicle) needs to land to a predetermined area, which not only requires a higher accuracy of landing area, but also needs to maintain a certain attitude angle. In this paper, the Schwartz inequality and state space form are used to derive the guidance law with angle constraint. The influence of heading error and angle constraint on aircraft landing area are analyzed...
Among the modern requirements for complex object control simulators is to provide the properties of adaptability, flexibility, extensibility, reliability, security and reconfigurability. The use of semantic description as one of the ways to solve the problem of increasing adaptability and efficiency (productivity, reliability, security, reconfigurability) in the development of simulators with human-machine...
For continuous-time port-Hamiltonian systems (PHS), safety can be shown using the Hamiltonian function as a barrier between the safe and unsafe states. However, the safety property may not be preserved when the system is discretized. This paper presents a safety analysis approach for discrete-time models of PHS using conservative time-discretization and applies the approach to the design of a safe...
With the development of renewable resources, large amounts of Distributed Generation (DG) units penetrated into distribution network. Instead of traditional passive PQ bus equivalence, DG characterized Active Distribution Network (ADN) need to be appropriate modeled as active components to represents its dynamic behaviors. Though existed ADN equivalent research considered the inverter-based DG units...
Automated object's activity analysis has been and still remains a challenging problem and motion trajectories provide rich spatiotemporal information for this purpose. This paper presents a novel descriptor to analyze object activity based on object trajectories. In the proposed descriptor extraction technique, object's change in direction is extracted in different level of resolution. One of the...
The central nervous system directs a large number of muscles to produce complex motor behaviors. By using Artificial neural networks (ANNs) where more number of hidden layers are used for learning a specific task, we propose a method to understand the representations of neuromuscular control in the central nervous system as representations of movement plans that are eventually executed by the spinal...
We present a process for sound conformance testing of cyber-physical systems, which involves functional but also non-functional aspects. The process starts with a hybrid model of cyber-physical systems in which the correct behavior of the system (at its interface level) is specified. Such a model captures both discrete behavior and evolution of continuous dynamics of the system in time. Since conformance...
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