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Small scale quad-rotor unmanned aerial vehicle (UAV) has attracted much attention in recent years and has been widely adopted in many civil applications, e.g. inspection of critical infrastructure spanning over a large geographical area. In a typical UAV based inspection system for large-scale photovoltaic farm, it is required to control the mounted gimbal camera taking pictures of all the PV modules...
Based on analyzing time-varying position information of moving objects, searching the group members which participate in a joint action could provide an important support for the decision makers in the field such as the investigation of criminal cases, group emergency disposal, large-scale military action etc. As the expansion of mobility properties correlation analysis, this paper proposed a novel...
This work presents an adaptive fuzzy cerebellar model articulation controller (AFCMAC) for solving the tracking control problem for an omni-directional mobile robot. First, fuzzy logic and CMAC are combined, coupled with a triangular basis function that is embedded in the hypercube receptive-field space to yield non-constant differentiable basis functions, which simplify the complex structure and...
Group movement pattern analysis can provide an important basis for decision support for decision-makers in the fields such as group emergency treatment, a large-scale military action and so on. On the basis of the analysis of individual mobility patterns based on the path description graph, this paper proposes a new analysis method of group mobility patterns based on the convex hull-the gravity center...
Mining the frequently visited places of single mobile users, i.e., significant places, is crucial for supporting personalized location-based services. Most of existing works for significance place mining have a need to take advantage the GPS trajectories of users. However, it is difficult to encourage mobile users to contribute GPS trajectories because of the high power consumption of GPS. In this...
Mining the frequently visited places of single mobile users, i.e., significant places, is crucial for supporting personalized location-based services. Most of existing works for significance place mining have a need to take advantage the GPS trajectories of users. However, it is difficult to encourage mobile users to contribute GPS trajectories because of the high power consumption of GPS. In this...
Recent years have witnessed the growing popularity of sensor and sensor-network technologies, supporting important practical applications. One of the fundamental issues is how to accurately locate a user with few labeled data in a wireless sensor network, where a major difficulty arises from the need to label large quantities of user location data, which in turn requires knowledge about the locations...
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