This contribution is comprised of two parts. In the first part we provide an overview of the Dynamically Data-Driven applicationssystems (DDDAS) concept, with particular emphasis on the analytics of systems coming fr...
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This paper presents a wireless sensor network employing heterogeneous mobile robot platforms designed for data-acquisition and research in agriculture, forestry and green spaces in smart cities. Where conventional sen...
This paper presents a wireless sensor network employing heterogeneous mobile robot platforms designed for data-acquisition and research in agriculture, forestry and green spaces in smart cities. Where conventional sensor networks struggle with a lack in flexibility, little variation in their reading points and no possibilities in mobile manipulation, this approach offers new capabilities in accomplishing complex tasks in outdoor and indoor scenarios. A wheel driven robot platform in combination with multiple UAVs 1 1 Unmanned Aerial Vehicle forms the basis for the mobile sensor network which can make use of a wide variety of sensors and actuators. The system benefits from new developments in controlling multi-agent systems as well as machine-learning-algorithms for local and independent data-analysis.
This study introduces an enhanced Walk on Spheres (WOS) algorithm, integrated with Generative Adversarial Networks (GANs), to simulate convection-diffusion processes involving velocity fields. The traditional WOS algo...
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The technology of home projectors has matured significantly. However, most projectors are limited to static manual projectors, and projectors capable of automatic focusing and keystone correction are expensive. Furthe...
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In the advanced field of Image Processing and Computer Vision (IP/CV), there is a trend toward utilising parallel processing in computer architectures for enhanced efficiency, striking a balance between general-purpos...
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ISBN:
(纸本)9798350355291;9798350355284
In the advanced field of Image Processing and Computer Vision (IP/CV), there is a trend toward utilising parallel processing in computer architectures for enhanced efficiency, striking a balance between general-purpose capabilities and hardware-specific processes. The RISC-V standard, now backed by a wide array of compilers, frameworks, and operating systems, is paving the way for innovative cores. Our introduction of a Multi-Processor systems on Chip (MPSoC), MPRISC-V, is a testament to this evolution. This system incorporates a Network on Chip (NoC) for robust intra-chip communication. The Processing System (PS) seamlessly integrates and manages it through a user-friendly API crafted to simplify the development cycle. To ascertain its effectiveness, we tested it on a Zynq Ultrascale+ MPSoC device, deploying a Sobel-based application benchmark. By evaluating its efficiency in terms of cycles/pixels, our findings underscore its potential and spotlight areas ripe for further enhancement.
This article describes the author's design of the Mecanum wheel mobile robots (MWR), which can be used as a test platform for experimental research into the development and implementation of autonomous systems. Th...
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This article describes the author's design of the Mecanum wheel mobile robots (MWR), which can be used as a test platform for experimental research into the development and implementation of autonomous systems. The paper contains a literature review of the subject matter and describes the mechanical actuator subsystem and electronic and information subsystem of the mobile robot solution. The robot was navigated using a minicomputer equipped with a Jetson Nano chip. The robot's navigation system was implemented using the ROS environment through high-level software. Software modularity is desirable in circuits intended for research and rapid prototyping. This allows for easier modification and maintenance. The microcontroller has been implemented with a DC drive control system and incremental encoder support to estimate robot position using odometry. The project utilizes the Jetson Nano for processing data from distance sensors and monitoring the robot's performance. The mobile platform is equipped with a RGB-D camera (Microsoft Kinect 360), the robot can use this to perform 3D mapping of the environment. A LiDAR sensor is used to collect data from a two-dimensional space. Laboratory tests were carried out to test the validity of the solutions adopted in the design of the Mecanum-wheeled mobile robot's navigation system configuration. Copyright (c) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)
In the burgeoning era of interplanetary exploration, the deployment of Unmanned Aerial Vehicles (UAVs) on Mars signifies a transformative approach to extraterrestrial research. To ensure the efficacy of these UAVs in ...
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ISBN:
(纸本)9798350304626
In the burgeoning era of interplanetary exploration, the deployment of Unmanned Aerial Vehicles (UAVs) on Mars signifies a transformative approach to extraterrestrial research. To ensure the efficacy of these UAVs in the Martian milieu, there's an imperative need for sophisticated simulation tools that can adeptly mirror the multifaceted challenges of the Red Planet. This paper presents MarsDrone, a pioneering UAV simulation tool meticulously crafted for Mars. Focusing on simulation realism, MarsDrone combines Generative Model Artificial Intelligence with Discriminative Model Artificial Intelligence to form a closed-loop system, as illustrated in Figure 1, further harnessing Martian data to optimize simulation tools. Central to MarsDrone is its multifaceted simulation framework. While the Terrain Generation Tool stands out, processing genuine Martian data to replicate the planet's varied topography, the tool's capabilities extend far beyond. Utilizing the avantgarde Unreal Engine 5, MarsDrone integrates advanced features like Physically-Based Rendering, Nanite, and Lumen. These not only ensure a high-fidelity representation of the Martian environment but also enhance other simulation aspects, from drone dynamics to sensor accuracy. MarsDrone's sophisticated camera simulations offer a granular recreation of the Martian landscape, facilitating AI training in a controlled yet hyperrealistic milieu. Additionally, MarsDrone's prowess extends to edge scenario testing, emphasizing the challenges posed by Martian dust. This fine particulate matter, coupled with Mars's unique atmospheric conditions, can jeopardize the visual clarity essential for UAV operations. MarsDrone's simulations, replicating these real-world Martian scenarios, ensuring their robust performance amidst Martian adversities. MarsDrone sets a new gold standard in Mars UAV simulations, offering an all-encompassing suite tailored to the genuine needs of Martian UAV exploration. Its commitment to high-fidelit
This work presents main approaches to developing a programmable mixed-signal front-end for sensor electronics based on signal transimpedance amplification and integration. In accordance to Internet of Things concept r...
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The main motivation for this work is that most Indians who are involved in accidents or have other injuries will ignore minor cracks. Some days later, there will be severe effects from these, like swelling, damaged ti...
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