In this paper, the authors investigate the current state of the lighting design and control sector in Thailand's creative industry. The government aims to promote the creative industry as a key source of income, b...
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As the core device of medium-low speed maglev trains, the traction converter plays a crucial role in energy conversion and drive control. Its design quality directly affects the performance and stable operation of the...
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This piece delves into the realm of the Internet of Things and explores the synergy between AI technology and human-machine interaction systems. Specifically, an analysis is conducted on the core of computer AI-driven...
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With the rapid development and popularization of the Internet today, mechanical processing enterprises should not only adapt to new situations, but also reorganize various business processes. This article uses the Web...
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Robot arms commonly used in the industrial sector are typically controlled using. ioysticks, although this method is not very effective. This project aims to improve control by developing a two-systemcontrol setup fo...
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In the field of industrial automation, the application of machine vision(MV) technology in industrial production positioning detection is developing rapidly, and the positioning task can still be accomplished by image...
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This study presents the design and implementation of a modular, multi-unit reconfigurable robotic system engineered for high adaptability in complex and unpredictable environments. Unlike conventional robots, this sys...
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ISBN:
(纸本)9798350377255;9798350377262
This study presents the design and implementation of a modular, multi-unit reconfigurable robotic system engineered for high adaptability in complex and unpredictable environments. Unlike conventional robots, this system leverages modularity and configurable connectivity to perform effectively across varied terrains, making it suitable for applications such as disaster response and environmental exploration. The proposed robot consists of multiple independently operable units connected by specialized joints that enable versatile movement and robust stability, even under challenging conditions. Each unit integrates three rotational joints, inspired by animal limb mechanics, to enhance mobility while minimizing energy consumption. A custom controlsystem was developed to manage unit-to-unit communication and cooperative movement, utilizing an ESP32-S3 mainboard and a multi-layer communication protocol that enables synchronized task execution across configurations. Experimental results demonstrate the robot's ability to operate as single units or in multi-unit configurations, exhibiting adaptive movement and structural integrity across diverse operational scenarios. This multi-unit modular robot offers promising advancements in reconfigurable robotics, enabling potential applications in various industrial and exploration fields.
Aiming at the problem of broadband stability of voltage source converter based high voltage direct current (VSC-HVDC) system, a control strategy of converter is designed to improve its small signal stability. Based on...
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The objective of this paper is to develop an Optimized Scheduling Decision and controlsystem (OSDCS) for edible oil pipeline based on a path planning algorithm to assist in decision making. The OSDCS will assist mana...
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ISBN:
(纸本)9798331544461;9784907764838
The objective of this paper is to develop an Optimized Scheduling Decision and controlsystem (OSDCS) for edible oil pipeline based on a path planning algorithm to assist in decision making. The OSDCS will assist managers in issuing decision commands to solve the problem of incomplete task scheduling and planning in edible oil factory production. The OSDCS utilizes both A* and Dijkstra's algorithms to realize optimal path planning. At the same time, through the friendly 3D visualization technology, it simulates a 3-dimensional environment to present the specific production line of the edible oil pipeline. Then, the operator can check the situation of the edible oil pipelines by this human-machine interface of the well development OSDCS. This paper uses the C# programming language to integrate path planning algorithms and assist in task scheduling decisions. The decision results are simulated using computer-aideddesign (CAD) models to replicate the actual edible oil transfer. The OSDCS can reduce human intervention and increase production efficiency.
This paper describes the development of a wireless Drone charge station, navigation and control methodology using Artificial Intelligence and computer Vision, based on Commercial-Of-The-Shelf (COTS) equipment and a de...
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ISBN:
(纸本)9781665490320
This paper describes the development of a wireless Drone charge station, navigation and control methodology using Artificial Intelligence and computer Vision, based on Commercial-Of-The-Shelf (COTS) equipment and a dedicated management software to "help" a single Drone or a swarm squadron operation in VLOS and BVLOS, over urban regions. The Concept of Smart Cities consider the Drone use for power line asset monitoring, homeland security, delivery of medicine and logistics, epidemiological control and environmental monitoring. Due the modular design of the aerial platform and the wireless charge station, the use of COTS equipment allows more flexibility in all processes and result in cost reduction as well as development process optimization, where the focus is on the system integration. The wireless Drone charge station is a dedicated structure located at a strategic position within city limits, which is able to be used as communication relay, and to charge the Drones automatically via wireless, according the mission scope, increasing the Drone operation range over urban region. The sensors inside the wireless Drone charge station are IoT devices for the collection of meteorological data, images, command / control Drones and data from the other Stations, through a dedicated Command and control Situation Room. By utilizing a dedicated management software at the Situation room - called by SIGI software - the system can control the drone and the airspace, collect field data from sensors and process them in real time. The situational analysis makes it possible to the administrator to optimize resources (material and human) by improving the efficiency of resource allocation in these areas while providing the real time situational awareness. The Drone design is a quadcopter with Embedded Artificial Intelligence and computer Vision, defined as mission board, totally integrated with autopilot board and navigation sensors. A.I. and computer vision are used to increase the Dr
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