The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Autonomous Surface Vehicles (ASVs) rely on two layers of guidance for effective path planning: global and local methods. Global methods require a macroscopic view of the mission's goals in order to efficiently navigate an environment. For this research, different global path planner algorithms are explored both in simulation and in field tests to observe path planner qualities for modularity, practicality,...
The robot manipulators are an extremely nonlinear MIMO and highly coupled system. Further, the performances of the controlled systems are adversely affected by the existence of model uncertainties and disturbances. Therefore, the controller design for robotic systems is a difficult task for controller developer. In this paper, a novel application of the artificial bee colony (ABC) algorithm to optimize...
We present an accelerated algorithm for hierarchical density based clustering. Our new algorithm improves upon HDBSCAN*, which itself provided a significant qualitative improvement over the popular DBSCAN algorithm. The accelerated HDBSCAN* algorithm provides comparable performance to DBSCAN, while supporting variable density clusters, and eliminating the need for the difficult to tune distance scale...
Accurate ground area detection is one of the most important tasks in various stereo vision based applications, such as autonomous driving or assistive technologies for visually impaired. Correct assertion of the ground geometry improves obstacle detection algorithms by eliminating false positive locations in image. In this paper we provide an application oriented evaluation on the correlation of the...
We study planted problems—finding hidden structures in random noisy inputs—through the lens of the sum-of-squares semidefinite programming hierarchy (SoS). This family of powerful semidefinite programs has recently yielded many new algorithms for planted problems, often achieving the best known polynomial-time guarantees in terms of accuracy of recovered solutions and robustness...
Renewable Energies (RE) are considered as an important alternative sources of energy for the generation of electricity such as hydrogen and photovoltaic energies. To ensure an efficient photovoltaic energy conversion several Maximum Power Point Tracking (MPPT) algorithms have been developed to incite the PV field to deliver maximum power. This paper presents a comprehensive comparative study of two...
The performance of fingerprint based indoor localization techniques is significantly degraded by environmental dynamics especially when devices such as Wi-Fi access points (APs), which are used to build fingerprint database, are densely deployed. The primary reason is that the plug-and-play feature of these devices would render the fingerprints in the database invalid. Worsestill, the time-varying...
The well-known maximum torque per ampere (MTPA) strategy is usually integrated the field oriented control (FOC) to improve the efficiency of interior permanent-magnet (IPM) synchronous motor drives. As an alternative to the FOC, direct torque control (DTC) has attracted extensive attention from both academia and industry in the last few decades, due to its distinctive advantages, e.g., fast dynamic...
The traditional affine iterative closest point (ICP) algorithm is fast and accurate for affine registration between two point sets, but it is easy to fall into local minimum. This paper proposes a robust Affine ICP algorithm based on corner points. First, an objective function is established under the guidance of corner points, where the corner points as the shape control point guides the affine registration...
This work presents a self-adaptation algorithm to automatically adjust the peaking settings of a continuous-time linear equalizer (CTLE) in a high-speed PAM4 receiver. A statistical approach is adopted to improve the robustness and flexibility of the adaptation algorithm. The PAM4 top level distribution around the peak value of several consecutive top levels guides the CTLE to attain the optimal digital...
This paper proposed a robust spatial spectrum sensing algorithm to apply to a communication scenario which exist the estimated error of noise power and the jamming. A modified approximate model is proposed to include the estimated error of noise power and the jamming. The corresponding performance indicators are proposed. The proposed robust algorithm estimates the estimated error vector of noise...
This paper discusses a job-shop scheduling problem with uncertain processing times, which are described by discrete scenarios. A robust optimization model is established by minimizing the worst-case makespan for the job-shop scheduling system. Based on the characteristics of the established model, a neighborhood structure is constructed under the worst-case scenario, and a tabued simulated annealing...
Feature selection is playing an increasingly significant role with respect to many computer vision applications spanning from object recognition to visual object tracking. However, most of the recent solutions in feature selection are not robust across different and heterogeneous set of data. In this paper, we address this issue proposing a robust probabilistic latent graph-based feature selection...
Despite great progress has been made in recent years, efficient and robust people detection continues to be a challenging problem in the filed of computer vision. In this paper, we propose a highly efficient indoor people detect method based on RGB-D sensor. First, two RGB and depth feature fusing strategies are proposed and compared. Secondly, an improved non-maximum suppression algorithm is proposed...
With the aid of double-controller design concept and particle swarm optimization (PSO) algorithm, an internal model control (IMC) scheme with two-degree-of-freedom (TDF-IMC) based on PSO algorithm (PSO-TDF-IMC) is proposed, which is capable of controlling large time-delay processes. This method takes integral time absolute error (ITAE) index as objective function and uses PSO algorithm to optimize...
Owing to the complexity of sampling processes and running environment of the system, it is hard to avoid abnormal data such as outliers as well as patchy outliers, which widely emerge out of the sampling series. These abnormal data have remarkably bad impact on state estimation, process monitoring, process control as well as safe running of the dynamic system. In this paper, a detailed review is given...
Current fiducial marker detection algorithms rely on marker IDs for false positive rejection. Time is wasted on potential detections that will eventually be rejected as false positives. We introduce ChromaTag, a fiducial marker and detection algorithm designed to use opponent colors to limit and quickly reject initial false detections and grayscale for precise localization. Through experiments, we...
For the restoration problem of shredded paper broken by shredder machines with the same marginal feature, a new method based on ant colony algorithm with classification is proposed in this paper. Firstly, shredded paper feature vector can be extracted by image space information. Secondly, the similar matrix and the marginal distance matrix are defined by the feature vector and left-right part image...
Subgraph pattern matching is fundamental to graph analytics and has wide applications. Unfortunately, high computational complexity limits the robustness guarantees of existing algorithms: they do not scale for modern large graph datasets and/or they have limitations in terms of accuracy or in terms of the intricacy of the patterns supported. We present algorithms, theory, and empirical evidence that...
Augmented reality is popular and rapidly growing direction. It is successfully used in medicine, education, engineering and entertainment. In the paper, basic principles of typical augmented reality system are described. An efficient hybrid visual tracking algorithm is proposed. The approach is based on combining of the optical flow technique with direct tracking methods. It is demonstrated that developed...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.