1,721,572 research outputs found
Salient Feature Detection for 3D LIDAR Registration
In this paper we propose a novel detection algorithm SKIP-3D (SKeleton Interest Point) for extraction of edges from multi-layer LIDAR scans. SKIP-3D exploits the organization of LIDAR measurements to search silent points in each layer through an iterative bottom-up procedure, removing low curvature points. The edge features from two point clouds are associated and used for their alignment. The experimental results shows that the proposed approach is efficient and reliable.https://youtu.be/4l4ynkzqqr
Understanding the Limits of LoRa Direct-to-Satellite: The Doppler Perspectives
The Long Range (LoRa) modulation enables low-cost and low-power communications, serving as the foundation for the widely adopted terrestrial low-power wide-area network (LPWAN) technology known as LoRaWAN. Owing to its effectiveness, this modulation scheme is emerging as a potential option to provide direct-to-satellite (DtS) connectivity supporting Internet-of-Things (IoT) applications in remote or hard-to-reach areas, and complementing existing terrestrial networks. Besides the link budget and interference, the Doppler effect is one of the main challenges in LoRa DtS connectivity. Earlier studies have extensively investigated the link budget and the network scalability aspects, confirming the feasibility of integrating LoRa with Low Earth Orbit (LEO) satellites. However, only a few studies examine the influence of the Doppler effect on LoRa DtS performance. Specifically, the majority of the available literature report empirical studies that analyze the Doppler effect solely for a specific set of communication parameters. There remains a need for extensive and comprehensive examination of LoRa DtS performance under a strong Doppler effect in the LEO scenario. In this paper, we discuss and thoroughly investigate the impact of the Doppler effect on the reliability of LoRa satellite links. In particular, we analytically study packet losses, distinguishing the effect of Doppler shift from Doppler rate, the latter being caused by the variation in the relative speed of LEO satellites with respect to a terrestrial IoT end-device. Our analysis accounts for the effects of key communications parameters and settings, such as bandwidths, carrier frequency, MAC payload, LEO satellite's orbital height, and LoRaWAN low data rate optimization (LDRO). Notably, the results identify the LoRa boundaries for direct to LEO satellite connectivity and can facilitate the selection of suitable parameters for future system designs. Specifically, our results demonstrate that the packet delivery ratio of the most vulnerable spreading factor, i.e., SF12, exceeds 82% when using 125 kHz bandwidth, 433 MHz carrier frequency, and 59 bytes payload for a satellite orbiting at 560 km height
sj-docx-1-npx-10.1177_1934578X211031148 - Supplemental material for Antileishmanial Potential of Berberine Alkaloids From <i>Berberis glaucocarpa</i> Roots: Molecular Docking Suggests Relevant <i>Leishmania</i> Protein Targets
Supplemental material, sj-docx-1-npx-10.1177_1934578X211031148 for Antileishmanial Potential of Berberine Alkaloids From Berberis glaucocarpa Roots: Molecular Docking Suggests Relevant Leishmania Protein Targets by Muhammad Alamzeb, Saqib Ali, Mamoon-Ur-Rashid, Behramand Khan, Ihsanullah, Adnan, Muhammad Omer, Asad Ullah, Javed Ali, William N. Setzer, Syed M. Salman, Ajmal Khan and Akram Shah in Natural Product Communications</p
sj-docx-2-npx-10.1177_1934578X211031148 - Supplemental material for Antileishmanial Potential of Berberine Alkaloids From <i>Berberis glaucocarpa</i> Roots: Molecular Docking Suggests Relevant <i>Leishmania</i> Protein Targets
Supplemental material, sj-docx-2-npx-10.1177_1934578X211031148 for Antileishmanial Potential of Berberine Alkaloids From Berberis glaucocarpa Roots: Molecular Docking Suggests Relevant Leishmania Protein Targets by Muhammad Alamzeb, Saqib Ali, Mamoon-Ur-Rashid, Behramand Khan, Ihsanullah, Adnan, Muhammad Omer, Asad Ullah, Javed Ali, William N. Setzer, Syed M. Salman, Ajmal Khan and Akram Shah in Natural Product Communications</p
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Compositional abstraction of interconnected control systems under dynamic interconnection topology
Compositional abstraction of interconnected control systems under dynamic interconnection topology
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