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Disaster monitoring is a primary task for wireless sensor networks. Systems for the rapid reporting of earthquake information are a crucial aspect of disaster monitoring. Furthermore, during emergency rescue after a large earthquake, wireless sensor networks can provide pictures and sound information to save lives. Therefore, when accompanied by multimedia data flow, the alert and seismic data sent by the seismic monitoring nodes must be sufficiently fast. We present herein the architecture of a collaborative disaster-monitoring system that can obtain seismic data in a highly energy-efficient manner. In this paper, a hybrid superior node token ring MAC scheme is proposed for disaster monitoring in wireless sensor networks. This scheme consists of set-up and steady-state stages. A clustering approach was proposed for heterogeneous networks during the set-up stage. The proposed MAC operates in the duty cycle mode at the steady-state stage and is based on the virtual token ring of ordinary nodes, the polling all the superior nodes in one period, and alert transmissions with a low-power listening and shortened preamble approach during the sleep state. The proposed scheme can simultaneously satisfy the requirements of three types of data in disaster-monitoring applications. Based on embedded Markov chains, a model of the proposed MAC was developed and the mean queue length, mean cycle time, and mean upper bound of the frame delay were obtained. Using simulations under various conditions, the clustering approach performed better than the pLEACH approach, and the theoretical results of the proposed MAC were verified. We found that alerts and superior data have outstanding delay and throughput performances even under heavy traffic intensity, and the proposed MAC can provide a data rate of several hundred kb/s for superior and ordinary data. Considering all three types of data, the frame delay performances of the proposed MAC are better than those of the WirelessHART and DRX schemes, and the alert data of the proposed MAC have a maximum frame delay of 15 ms. These satisfy the application requirements of disaster monitoring.
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http://dx.doi.org/10.3390/s23115068 | DOI Listing |
In Silico Pharmacol
September 2025
Department of Biomedical Sciences, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080 Republic of Korea.
Unlabelled: Colon cancer accounts for the second leading cause of cancer-associated death worldwide. Since the metastasis contributes to its malignancy, targeting the extracellular matrix (ECM) remodeling is critical for its therapy. Most research had focused on the native form of the structural ECM proteins, termed core matrisomes, to find out the relationship of the TME to colon cancer progression.
View Article and Find Full Text PDFInt J Comput Assist Radiol Surg
September 2025
School of Mechanical Engineering, Hanoi University of Science and Technology, No.1 Dai Co Viet, Bach Mai, Hanoi, Vietnam.
Purpose: Localization of abdominal tissue, such as tumors, in minimally invasive surgery (MIS) is crucial but challenging due to the lack of tactile sensation. This study aims to develop a tactile force sensor that provides tactile sensation for surgeons, enabling accurate tumor localization while ensuring surgical safety.
Methods: This study proposes an acoustic reflection-based tactile force sensor, with preliminary theoretical analyses and fundamental experiments performed to assess its response to applied forces.
Sensors (Basel)
August 2025
College of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China.
With the rapid development of the Industrial Internet of Things (IIoT), the scale of industrial equipment has expanded, leading to an increasing diversity of communication protocols and a significant rise in data transmission volume within industrial networks. Traditional communication systems, constrained by concurrency and throughput limitations, struggle to meet the demands of massive data transmission. To address this issue, this paper proposes a distributed high-availability message communication model for IIoT (DUA-MQTT) based on the OPC UA architecture.
View Article and Find Full Text PDFSensors (Basel)
August 2025
School of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China.
Due to the slender geometry and low-amplitude vibrations of stayed cables, existing vision-based methods often fail to accurately identify their full-field dynamic parameters, especially the higher-order modes. This paper proposes a novel holographic vision-based method to accurately identify the high-order full-field dynamic parameters and estimate the tension of the stayed cables. Particularly, a full-field optical flow tracking algorithm is proposed to obtain the full-field dynamic displacement information of the stayed cable by tracking the changes in the optical flow field of the continuous motion signal spectral components of holographic feature points.
View Article and Find Full Text PDFJ Imaging
August 2025
Department of AI and Robotics, Sejong University, Seoul 05006, Republic of Korea.
Ocular disease (OD) represents a complex medical condition affecting humans. OD diagnosis is a challenging process in the current medical system, and blindness may occur if the disease is not detected at its initial phase. Recent studies showed significant outcomes in the identification of OD using deep learning (DL) models.
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