The energy control of a Wireless Sensor Network (WSN) often leads to an unbalanced state between the battery storage system, energy extraction through photovoltaic systems energy, and energy utilization in the WSN. Th...
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With the rapid development of deep learning, the increasing complexity and scale of parameters make training a new model increasingly resource-intensive. In this paper, we start from the classic convolutional neural n...
Cybersecurity has emerged as a critical concern in modern urban governance, as local governments now extend their responsibilities beyond traditional infrastructure management to safeguard digital systems and citizen ...
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Transporting payload with precise swing angles and transfer times poses a challenging task in building construction, which is why gantry crane systems are extensively utilized. Various control strategies, including op...
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Face recognition systems are a rapidly evolving computer vision technology capable of accurately identifying faces. Additionally, the development of SBCs (Single Board computers) has advanced significantly, enabling f...
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ISBN:
(数字)9798331508616
ISBN:
(纸本)9798331508623
Face recognition systems are a rapidly evolving computer vision technology capable of accurately identifying faces. Additionally, the development of SBCs (Single Board computers) has advanced significantly, enabling fast computational processing. The integration of face recognition systems on SBCs enables the creation of embedded face recognition systems. With the addition of GPS devices, it is possible to develop a mobile embedded face recognition system, which can contribute to enhancing infrastructure security and sustainability. This research demonstrates that A portable face recognition system based on Raspberry Pi 5 and a GPS module has been successfully developed. The system successfully detects target faces and able to send location coordinates through the Telegram application. Testing results show that the system's effective range is 1 to 4 meters, with an effective angle of 80° to 100° (from the left horizontal). The tests also indicate that systems without video output generally have higher FPS compared to systems displaying video.
This paper considers a cloud streaming game using WebRTC. Since the cloud streaming game consists of a server and a client, the network quality between them affects the game. Among the network quality degradation fact...
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ISBN:
(数字)9798331504120
ISBN:
(纸本)9798331504137
This paper considers a cloud streaming game using WebRTC. Since the cloud streaming game consists of a server and a client, the network quality between them affects the game. Among the network quality degradation factors, we focus on delay jitter. We reduce the effect of the jitter by buffering. We conduct a subjective experiment of a single-player action game and evaluate application-level QoS and QoE. We investigate the impact of buffering on the video and audio quality of the user playing the game.
Controlling 6 Degrees-of-Freedom (DoF) robotic manipulators in an online, model-free manner poses significant challenges due to their complex coupling, non-linearities, and the need to account for unmodeled dynamics. ...
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To eliminate unnecessary background information,such as soft tissues in original CT images and the adverse impact of the similarity of adjacent spines on lumbar image segmentation and surgical path planning,a two‐sta...
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To eliminate unnecessary background information,such as soft tissues in original CT images and the adverse impact of the similarity of adjacent spines on lumbar image segmentation and surgical path planning,a two‐stage approach for localising lumbar segments is ***,based on the multi‐scale feature fusion technology,a non‐linear regression method is used to achieve accurate localisation of the overall spatial region of the lumbar spine,effectively eliminating useless background information,such as soft *** the second stage,we directly realised the precise positioning of each segment in the lumbar spine space region based on the non‐linear regression method,thus effectively eliminating the interference caused by the adjacent *** 3D Intersection over Union(3D_IOU)is used as the main evaluation indicator for the positioning *** an open dataset,3D_IOU values of 0.8339�0.0990 and 0.8559�0.0332 in the first and second stages,respectively is *** addition,the average time required for the proposed method in the two stages is 0.3274 and 0.2105 s ***,the proposed method performs very well in terms of both pre-cision and speed and can effectively improve the accuracy of lumbar image segmentation and the effect of surgical path planning.
Silicon-based charge trapping memory (CTM) devices currently dominate the nonvolatile memory (NVM) technology due to their excellent reliability, scalability, and maturity of the manufacturing process;however, they ar...
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The implementation of the Early Warning System (EWS) in hospitalized patients aims to identify worsening of the patient’s condition based on the assessment of vital signs. Currently, the EWS is still applied manually...
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