Railways are popular for moving goods because they are fast and can carry a lot. Due to technological development, researchers are now thinking about using self-driving systems instead of regular trains to make transp...
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ISBN:
(纸本)9798331540661;9798331540678
Railways are popular for moving goods because they are fast and can carry a lot. Due to technological development, researchers are now thinking about using self-driving systems instead of regular trains to make transporting goods more efficient and safer. Current train controlsystems sometimes make slow decisions which can be unsafe. This research introduces a new way to make these decisions faster and better for self-driving trains. We propose an algorithm is called the Near-field scene Quantum optimization (NFQO) algorithm. This uses live satellite images to help the train understand its surroundings. Additionally, a Hexagonal Grid (HG) tool, it helps the train pick the best route quickly. The main advantage of developing quantum algorithm is used to make decisions super-fast and accurate. When combined NFQO and HG with satellite images, improves reliable and effective self-driving cargo trains transportation. We've tested NFQO, and it's better than other available tools. This research, which combines quantum technology, satellite images, and self-driving systems, points to exciting future developments in train transportation.
cyber Physical systems (CPSs), especially Industrial controlsystems (ICSs), require real-time communication to ensure, first, stability and, second, efficiency, of the operation of the controlled physical processes. ...
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ISBN:
(纸本)9781665462686
cyber Physical systems (CPSs), especially Industrial controlsystems (ICSs), require real-time communication to ensure, first, stability and, second, efficiency, of the operation of the controlled physical processes. Therefore, intelligentcontrol and management of the underlying communication network is needed to achieve lower and predictable network delays. In this paper, we leverage the Software-Defined Networking (SDN) to address the delay intolerance issue of ICSs. In particular, we propose, implement, and evaluate a SDN-based application running above the SDN controller that dynamically re-configures the network to improve the performance of the ICS when the network becomes congested.
With the continuous advancement of robotics, multi-robot systems have gradually become a research hotspot and a necessary high ground for scientific and technological development in the world, with great development p...
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This study investigates the sewage treatment process and the production of oxygen, using the input of sewage as the re-search object. The input and output data of the oxygen generator were collected, the input data of...
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Low-frequency noise, such as road noise from automobiles and interior noise from bullet train cars, is detrimental to passenger comfort. Active noise control provides us with a way of suppressing low-frequency noise. ...
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ISBN:
(纸本)9798350311259
Low-frequency noise, such as road noise from automobiles and interior noise from bullet train cars, is detrimental to passenger comfort. Active noise control provides us with a way of suppressing low-frequency noise. It generates a sound of the same amplitude and opposite phase as noise and uses it to cancel the noise. Conventional active noise control is complicated to apply. Thus, the objective of this study is to establish a sound field control system by using the equivalent-input-disturbance method. System identification was performed to obtain an ideal plant of a duct. The control system is constructed based on the equivalent-input-disturbance approach with a low-order controller. The experimental results showed a suppression effect of about 50% of the sound field.
The purpose of this study is to use fuzzy logic to compensate for the temperature difference between the test object and the environment in the thermal vacuum test. By collecting and analyzing the temperature change d...
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This paper introduces a novel approach to address the problem of multi-agent collaboration, namely an event-triggered control strategy. What sets this method apart is its independence from global information of a dire...
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In this paper, iterative learning control is applied to deal with a class of repetitive SISO conformable fractional order system. By applying the -norm and Gronwall inequality, P-type of iterative learning law is pres...
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The challenge in image-based visual servoing is to deal with the visibility constraints, which require the image features to always remain in the field of view (FOV) of the camera. In this paper, a novel constraint fu...
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Security Information and Event Management (SIEM) systems play a crucial role in modern cybersecurity by aggregating, correlating, and analyzing vast amounts of security data. As cyber threats continue to evolve, the d...
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