With the rapid development of sensors, wireless communication, and computing technology, Internet of Things (IoT) has gained significant research interest. In particular, increasing people-oriented applications and sy...
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Quantum computing has showcased potentials to address classically unsolvable problems and attracted research investigation all around the world. However, quantum devices are inherently noisy and create hurdles from tr...
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The proceedings contain 214 papers. The topics discussed include: customer intent prediction using sentiment analysis techniques;validation of the global human settlement layer and NASA population data for Ukraine;a c...
ISBN:
(纸本)9781665426053
The proceedings contain 214 papers. The topics discussed include: customer intent prediction using sentiment analysis techniques;validation of the global human settlement layer and NASA population data for Ukraine;a comparison of Kubernetes and Kubernetes-compatible platforms;data mining to achieve quality of life for home automation users;special aspects of errors definition via sum codes within embedded control schemas being realized by means of Boolean complement method;exploiting VPN bonding for time critical video transmission on board drone;adaptive management of digitalization projects for efficiency increasing;NILM application for real time monitoring of appliances energy consumption used;and biometric identification via oculomotor system based on the Volterra model.
In this paper, an LSTM neural network model based on fusion attention mechanism is proposed to classify the operational state of wastewater treatment process. The model combines the attention mechanism to effectively ...
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Unmanned Aerial Vehicles (UAVs), commonly known as drones, have experienced rapid growth and widespread adoption across military and civilian applications in recent years. This paper offers a comprehensive survey of U...
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With the increasing use of advanced control methods such as model predictive control for nonlinear systems, the demand for real-time computational power continues to increase. Meeting this demand can be especially cha...
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ISBN:
(纸本)9798350373981;9798350373974
With the increasing use of advanced control methods such as model predictive control for nonlinear systems, the demand for real-time computational power continues to increase. Meeting this demand can be especially challenging when multiple nonlinear systems need to be controlled with the potentially limited embedded hardware of the individual systems. Utilizing a central computing unit, such as a cloud, can provide the required additional computing power at the expense of increased economic and energy costs. In this work, we consider a scenario where embedded controllers based on neural networks that imitate a model predictive controller need to be supported by a central computing unit in case of errors or model changes. To minimize the necessary amount of central computing used to guarantee a safe simultaneous operation of multiple systems, we propose a reinforcement learning-based scheduling of the different necessary computing tasks. Furthermore, we show that the proposed control structure is safe for the closed-loop control of nonlinear systems. A case study illustrates the benefits of the proposed control structure.
Triangle mesh maps are a versatile 3D environment representation for robots to navigate in challenging indoor and outdoor environments exhibiting tunnels, hills and varying slopes. To make use of these mesh maps, meth...
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ISBN:
(纸本)9798350377712;9798350377705
Triangle mesh maps are a versatile 3D environment representation for robots to navigate in challenging indoor and outdoor environments exhibiting tunnels, hills and varying slopes. To make use of these mesh maps, methods are needed to accurately localize robots in such maps to perform essential tasks like path planning and navigation. We present Mesh ICP Localization (MICP-L), a novel and computationally efficient method for registering one or more range sensors to a triangle mesh map to continuously localize a robot in 6D, even in GPS-denied environments. We accelerate the computation of ray casting correspondences (RCC) between range sensors and mesh maps by supporting different parallel computing devices like multicore CPUs, GPUs and the latest NVIDIA RTX hardware. By additionally transforming the covariance computation into a reduction operation, we can optimize the initial guessed poses in parallel on CPUs or GPUs, making our implementation applicable in real-time on many architectures. We demonstrate the robustness of our localization approach with datasets from agricultural, aerial, and automotive domains.
Flexibility and softness play a significant role in dynamic human motions. This includes the flexibility owing to ligaments in the human body and the softness of external structures such as a leaf-spring-type prosthes...
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ISBN:
(纸本)9798350377712;9798350377705
Flexibility and softness play a significant role in dynamic human motions. This includes the flexibility owing to ligaments in the human body and the softness of external structures such as a leaf-spring-type prosthesis. Thus, robotic systems need to utilize such flexibility to achieve dynamic and energy-efficient motion. In this study, we proposed a compliance optimization-based control framework for a rigid-soft hybrid robot system where the continuous deformation of a flexible structure is represented using the piece-wise constant strain (PCS) model. We divided the hybrid system into two states: single support and double support. We validated the proposed method in these states using forward dynamics simulations, assuming a hybrid link system that consists of a humanoid robot with a flexible prosthesis.
As China's social economy progresses, the amount of equipment in distribution networks continues to grow, leading to increasingly complex system operations. In this environment, traditional centralized control met...
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Recently, the ongoing labor shortage, driven by a declining birthrate and aging population, necessitates more efficient labor solutions. In this context, drones have garnered significant attention due to their high mo...
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