The IEEE 802.15.4e standard has four different superframe structures for different applications. Use of a low latency deterministic network (LLDN) superframe for the wireless sensor network is one of them, which can operate in a star topology. In this paper, a new channel access mechanism for IEEE 802.15.4e-based LLDN shared slots is proposed, and analytical models are designed based on this channel access mechanism. A prediction model is designed to estimate the possible number of retransmission slots based on the number of failed transmissions. Performance analysis in terms of data transmission reliability, delay, throughput and energy consumption are provided based on our proposed designs. Our designs are validated for simulation and analytical results, and it is observed that the simulation results well match with the analytical ones. Besides, our designs are compared with the IEEE 802.15.4 MAC mechanism, and it is shown that ours outperforms in terms of throughput, energy consumption, delay and reliability.
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http://dx.doi.org/10.3390/s17102185 | DOI Listing |
Ann Clin Transl Neurol
December 2024
Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Objectives: To explore the efficacy of ofatumumab in new onset narcolepsy type 1 following SARS-CoV-2 infection.
Methods: We present a 9-year-old girl who experienced new onset narcolepsy type 1 following SARS-CoV-2 infection. Polysomnography (PSG) followed by a daytime multiple sleep latency test (MSLT) was under taken after admission.
J Imaging
December 2024
Department of Mechatronics Engineering, Universidad Católica Boliviana "San Pablo", La Paz 4807, Bolivia.
Computer vision-based gait recognition (CVGR) is a technology that has gained considerable attention in recent years due to its non-invasive, unobtrusive, and difficult-to-conceal nature. Beyond its applications in biometrics, CVGR holds significant potential for healthcare and human-computer interaction. Current CVGR systems often transmit collected data to a cloud server for machine learning-based gait pattern recognition.
View Article and Find Full Text PDFObjective: In preterm and very low birth weight (VLBW) infants, attention-related problems have been found to be more pronounced and emerge later as academic difficulties that may persist into school age. In response, based on three attention networks: alerting, orienting, and executive attention, we examined the development of attention functions at 42 months (not corrected for prematurity) as a follow-up study of VLBW ( = 23) and normal birth weight (NBW: = 48) infants.
Method: The alerting and orienting attention networks were examined through an overlap task with or without warning signal.
Cureus
November 2024
Microbiology, Madras Medical College, Rajiv Gandhi Government General Hospital, Chennai, IND.
Introduction Cytomegalovirus (CMV) is often associated with mortality and significant morbidity following renal transplantation leading to graft rejection or dysfunction. Primary CMV infection refers to the first detection of the virus in a person who has no prior evidence of CMV exposure before transplantation. CMV has a unique property called latency.
View Article and Find Full Text PDFObjective: To identify lifting actions and count the number of lifts performed in videos based on robust class prediction and a streamlined process for reliable real-time monitoring of lifting tasks.
Background: Traditional methods for recognizing lifting actions often rely on deep learning classifiers applied to human motion data collected from wearable sensors. Despite their high performance, these methods can be difficult to implement on systems with limited hardware resources.
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