This paper proposes an architecture of an ARM-based remote video electronic information monitoring system. The system converts the embedded Linux terminal system memory allocation problem into a 0-1 knapsack problem. ...
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This paper proposes an architecture of an ARM-based remote video electronic information monitoring system. The system converts the embedded Linux terminal system memory allocation problem into a 0-1 knapsack problem. The system solves the knapsack problem by dynamic programming method to realize the memory optimization of embedded Linux terminal system. The system is sent to the client through the sending program based on Real-time Transport Protocol (RTP) to realize real-time encoding and sending. At the same time, the system realizes the CGI programming of A/D data acquisition. The experimental results show that the system has better real-time performance, clearer images and meets the system design requirements.
Under the background of comprehensively deepening reform and opening up, Xiamen,China's special economic zone, One of the earliest cities in China to carry out reform and opening up,faces a new era of economic dev...
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Adopting distance learning with a high level of quality in universities and educational institutions is a real challenge. Therefore, several studies and organizations have provided different standards to evaluate the ...
Adopting distance learning with a high level of quality in universities and educational institutions is a real challenge. Therefore, several studies and organizations have provided different standards to evaluate the quality of long-distance and to measure the obstacles. This study examines the quality obstacles of the long-distance learning techniques applied at the Faculty of Information Technology at the University of Benghazi, Libya. The British Quality Assurance Agency (BQAA) standards are utilized and presented as a questionnaire to the students at the faculty. The total participant number is 223 respondents. The study findings show that the students face severe challenges in all categories of the BQAA of technical, social, and organizational obstacles. The level of challenges is represented in the negativity of the response 69.1%, 60.1%, and 59.44% of the determined categories.
It is necessary to regularly enhance the traffic light system’s control using the newest technology. The PLC-based systems that are now in use make it difficult to adopt modern technologies like artificial intelligen...
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ISBN:
(数字)9798350354171
ISBN:
(纸本)9798350354188
It is necessary to regularly enhance the traffic light system’s control using the newest technology. The PLC-based systems that are now in use make it difficult to adopt modern technologies like artificial intelligence, machine learning, and the internet of things etc. This work aims to convert the logic level signal based on PLC to a logic level signal based on Raspberry Pi. A raspberry pi is used as the control unit in the development of an experimental four direction-based traffic light prototype. Two different types of logic level converters are used in this system to create signals that are compatible with both 24 V traffic light system and Raspberry Pi. Python programming on the Raspberry Pi is used to control the entire system.
As a result of technological progress, people's standard of living has improved and is continuing to do so in a variety of ways. Automation is the central idea in contemporary technology, and increasingly, automat...
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Salient object detection aims in identifying the most significant parts of a scene as viewed by the human eye and plays a vital role in a variety of applications, including object detection, video compression, and aug...
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In order to further process and sell garlic, moldy garlic needs to be recognized quickly and effectively. Garlic images were acquired by machine vision, and features were collected from moldy and normal garlic images ...
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This research aimed to solve the problem of fish position and pose recognition in the process of robot grasping fish. Crucian carp is the subject of this research and studies the position and pose recognition algorith...
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In recent years, vehicles became a complex network of ECUs and sensors that communicate with each other and their environment. Vehicle data from these connected vehicles is processed and shared with multiple 3rd party...
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Static Series Synchronous Compensator (SSSC) is one of the controllable reactive power series compensators, which is applied to modify the power flow in the transmission line and enhance the electrical grid’s small-s...
Static Series Synchronous Compensator (SSSC) is one of the controllable reactive power series compensators, which is applied to modify the power flow in the transmission line and enhance the electrical grid’s small-signal stability. In this paper, a novel damping controller for the electrical network equipped with SSSC is presented considering H ∞ control theory and Teaching Learning Based Optimization (TLBO) algorithm based on a fixed structure control scheme to reduce the controller order and minimize the system error. The suggested mechanism guarantees both meet the robustness criteria and move the undamped and lightly damped nodes toward the specified stability region. Therefore, a fixed structure controller is employed and designed by proposing a novel optimization problem. Moreover, SMIB connected to the SSSC system is applied to analyze the electrical network’s small-signal stability. Finally, the proposed controller performance is compared to other conventional robust control methods and the simulation results show the controller achieves both excellent damping and acceptable robust performance compared to other methods.
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