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In this paper, we present the current work and future directions on spatiotemporal frequent pattern mining algorithms for mining solar data. The current spatiotemporal pattern mining algorithms focus on spatiotemporal co-occurrence patterns. We reveal four types of spatiotemporal concepts that can be mined from solar data: event sequences, periodicity, spatiotemporal convergence and propagation. Throughout...
Accurate multi-person tracking under complex conditions is an important topic in computer vision with various application scenarios such as visual surveillance. Taking into account the difficulties caused by 2D occlusions, missing detections, and false positives, we propose a two-stage graph-based object tracking-by-detection approach using multiple calibrated cameras. Firstly, data association is...
Ubiquitous indoor positioning remains a challenge for academia and industry alike. Techniques based on signal surveys (fingerprint maps) are arguably the most prevalent today, but these rely on time-consuming, complex manual surveys of the signal propagation. Recently progress has been made in semi-automated surveying, where Pedestrian Dead Reckoning (PDR) algorithms are combined with signal measurements...
Mobility data records the change of location and time about the crowd activities, reflecting a large amount of semantic knowledge about human mobility and hot regions. From the perspective of regional semantic knowledge, mining anomalous regions of overcrowded area is essential for disaster-aware resilience system scheme. This paper studies how to discover anomalous regions of moving crowds over the...
Trajectory identification is fundamental and widely used in intelligent video surveillance systems. In this paper, a temporal recursive method is proposed to analyze and determine the trajectories of pedestrians that are monitored under a multi-camera network. The trajectory provides the information on pedestrian's transition among cameras from a macroscopic perspective. Region's topological structure...
When evaluating detectors and algorithms for nuclear threat detection in populated environments, introducing actual sources is usually neither feasible nor economical. It is more practical to move the detector, (which is either airborne, vehicle-borne, or human portable) through the test environment and then to later artificially superimpose either measured or simulated source signatures on the recorded...
The clustering process in pattern mining of spatio-temporal trajectories is an important research content. Although there has existed extensive research on trajectory clustering, the efficiency of these algorithms is not able to meet the efficiency requirements faced with the large volumes of position data from moving objects. In order to improve the efficiency of clustering, this paper proposes two...
Batch processes are inherently irreversible. In fact, design parameters and initial states can affect irreversibility and controllability of a batch process. Current design methodologies do not include controllability as a criterion for process specification. In this work, the case of Bacillus thuringiensis process is studied in batch operation, and its operational conditions are defined according...
This paper introduces new concepts and methods in the analysis of group motions over extended periods of time, and applies it to an example from the maritime domain. Group motion analysis includes these challenges: (1) represent complex motion patterns of multiple entities as they execute group maneuvers and behavior patterns; (2) learn these group motion patterns in a qualitative fashion, invariant...
Synoptic and thermodynamic analysis of 14 thunderstorm events in the Alagoas State (Northern Brazil) was elaborated. Thermodynamic analysis was based on the vertical profiles, forecasted with 48 hours in advance. Forecast was made by the air parcel trajectories from the HYSPLIT model in 10 standard levels. Instability indexes were applied in order to better evaluate the quality of the vertical profiles...
In this article, kinematic modeling design of a humanoid robot is presented by using Devanit-Hartenberg (D-H) model. Based on the coordinate frame, the model identification of a 6 degree-of-freedom (DOF) upper limb is investigated with Newton-Euler(NE) formula. Particle Swarm Optimization (PSO) is used to optimize the trajectory of each joint, the adequate excitation of the robot is provided and the...
In the reentry process of hypersonic vehicles, unavoidable uncertainties can always crucially impact the trajectory performance. Therefore, even variable robust design algorithms have been proposed, both in areas of reference trajectory design and guidance algorithm design, effect analysis of the uncertainties still needs to be carefully taken. In this paper, a deviation condition strategy (DCS) is...
The presented paper investigates the small ball behavior of the integrated fractional Brownian motion. Taking into account the definitions of the Levy classes (the lower-lower class and lower-upper class) some properties of the integrated fractional Brownian motion are presented by the theorems. To prove these theorems several technical lemmas were established.
For rehabilitation robots to be successful, a control system that results in safe, comfortable and effective interaction between the robot and subject is necessary. We present two types of torque-based controllers for the index finger module of a hand exoskeleton for rehabilitation. Impedance control applies a position-dependent torque at the joints, while keeping the interaction with the finger compliant...
We propose a model reduction technique for quadratic-bilinear descriptor systems. The approach involves approximating the system by a bilinear descriptor system using Carleman bilinearization [1]. It is shown that, by assuming a particular structure of the matrix pencil, the bilinearization process preserves the structure of the matrix pencil in the bilinearized system. Further, we extend the use...
In this paper we propose a modified primal-dual gradient dynamical system to solve non-convex optimal power flow problems. The modified gradient dynamics maintains the naturally distributed structure and it has isolated equilibrium points as the primal and dual optima. Under mild conditions we show the locally asymptotic stability of the modified gradient dynamics. Simulations on the IEEE 14-bus benchmark...
Most Vehicular Ad-hoc Network (VANET) applications require the delivery of a variety of content to vehicles. Furthermore, content in such applications is usually geo-localized (i.e., designated to a specific region of interest). To help with the delivery of geo-localized content in VANET applications, content replication strategies can be exploited to keep content available where the interested vehicles...
The paper proposes controllers for a multi-Quad system that flies in a tight rigid formation. The considered model of the aerial vehicle are highly nonlinear. We propose a control strategy for avoiding collision between neighboring vehicles. The collision avoidance strategy applies in particular the flatness property of the considered system. Simulation results which demonstrate the controller effectivness,...
Small group people behavior analysis has attracted much attention in recent years. How to detect, track and analyze the group behavior of related people is a challenging problem. In this paper, a framework for small group people behavior analysis is proposed in video surveillance applications, which is based on temporal recursive trajectory identification. According to real applications, a specific...
When maritime accidents occur, search and rescue (SAR) operations for survivors are a top priority. To conduct the SAR, a fleet of Unmanned Aerial Vehicles (UAVs) can be used. The objective of the search task is to maximize the probability of locating targets. The goal of the rescue task is to follow survivors, transmit their location and status to the command center, and await the rescue team. In...
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