The four-way shuttle system, known for its high level of automation and strong handling capacity, is widely used in flexible automated warehousing systems. To enhance operational efficiency, this study establishes an ...
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In this study, the characteristics of knit-based stitch sensors were compared using capacitance and stress values based on the knit direction. The restored predicted data were analyzed using a masked autoencoder algor...
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In this study, the characteristics of knit-based stitch sensors were compared using capacitance and stress values based on the knit direction. The restored predicted data were analyzed using a masked autoencodera* algorithm. First, changes in capacitance with respect to strain were compared, followed by a comparison of stress values with respect to strain. The capacitance (C)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$(C)$$\end{document} values reflected differences in the distance between electrodes (d)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$(d)$$\end{document} and the area of the electrodes (A)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$(A)$$\end{document}, with the course direction showing a larger variation. Although the stress values (sigma)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$(\sigma )$$\end{document} exhibited similar trends in the graph, the comparison using the elastic modulus (E)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$(E)$$\end{document} and Poisson's ratio (nu)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym}
The newly developed bioaerosol single particle mass spectrometer (Bio-SPAMS) has been innovatively designed for its optical sizing system. The first laser beam in the previous single particle mass spectrometer was spl...
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The newly developed bioaerosol single particle mass spectrometer (Bio-SPAMS) has been innovatively designed for its optical sizing system. The first laser beam in the previous single particle mass spectrometer was split into near distance double beams, similar to the design of APS (Aerodynamic Particle Sizer) and SBS-LIBS (Single Beam Splitting-Laser Induced Breakdown Spectroscopy). All the particles focused by the aerodynamic lens can be sized and got number concentration statistic. However, due to the imperfect beam quality and the large scattering intensity of the large-sized particles, there may be some noise in the scattered signals, particle diameter measured by this sizing system was often larger than actual value if the same trigger threshold was set. In this study, when measuring PSL microspheres with diameters of 1.9, 3.1, and 4.9 mu m, the identification rates of the fixed thresholda* algorithm were only 75.25%, 55.26%, and 0.27%, respectively. To address such issue, we developed a dynamic threshold waveform recognitiona* algorithm based on field programmable gate array (FPGA), which could process the photoelectric signals collected by a photomultiplier tube (PMT) in real time. Thea* algorithm can dynamically adjust the trigger threshold of the collected scattered signals and accurately calculate the interval time between the near distance double beam. For PSL microspheres with diameters of 1.9, 3.1, and 4.9 mu m, the accuracy of the dynamic thresholda* algorithm increased by 19.09%, 25.72%, and 88.20%, respectively. Thisa* algorithm effectively solves the problem of particle sizing deviation, and improves the particle size measurement accuracy of the bioaerosol mass spectrometer in a wide particle size range from 0.3-6 mu m.
This paper proposed a new partition-based clusteringa* algorithm inspired by the sand dunes. The proposeda* algorithm is called the Sand Dune Clusteringa* algorithm. Thea* algorithm accepts an r x c matrix of data where one o...
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ISBN:
(纸本)9798400717383
This paper proposed a new partition-based clusteringa* algorithm inspired by the sand dunes. The proposeda* algorithm is called the Sand Dune Clusteringa* algorithm. Thea* algorithm accepts an r x c matrix of data where one of its columns should be identified as the weight. The weight of the column is then utilized to cluster the data points. Based on initial experimentation, thea* algorithm was able to group the sample points. Furthermore, it was disclosed that thea* algorithm is relatively fast, running at the order O(rc + r). Thus, it can be concluded that the proposeda* algorithm is a promising clusteringa* algorithm. Limitations and future work are also discussed.
In the paper, the chemical ingredient of potash glasswork and baryta glasswork is known from the archaic Chinese glassworks. The class, ornamentation and pigment of glasswork are known both without and with rotting. T...
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In the paper, the chemical ingredient of potash glasswork and baryta glasswork is known from the archaic Chinese glassworks. The class, ornamentation and pigment of glasswork are known both without and with rotting. The chemical ingredient percentage before rotting is predicted. Thus, the chemical ingredient is subclassified. The relativity of the chemical ingredient between the different classes of glasswork is found.
Object With the development of new technologies, the surgicala* algorithm for ossification of posterior longitudinal ligament (OPLL) in the cervical spine also needs to be updated. The aim of this study is to elucidate ...
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Object With the development of new technologies, the surgicala* algorithm for ossification of posterior longitudinal ligament (OPLL) in the cervical spine also needs to be updated. The aim of this study is to elucidate a new surgical classificationa* algorithm to guide the choice of surgical approaches for cervical OPLL based on its location and extent. In thisa* algorithm, anterior controllable antedisplacement and fusion (ACAF) will be used as a new surgical option. Methods This is a single-centered, retrospective, cohort study utilizing a novela* algorithm based on the following three criteria: (1) the positional relationship between ossification and uncinate process (UP), (2) the K-line, and (3) the ossification segment for surgical decision-making. Patients diagnosed with cervical OPLL who received surgical intervention guided by thea* algorithm were included. Patient demographics, Japanese Orthopedic Association (JOA) scores, surgical time, imaging data before and 2 years after surgery, and the occurrence of complications were extracted from the database. Paired t-test was used for intragroup comparison, and one-way ANOVA test was used for the intergroup analyses. Results Based on this novela* algorithm, 15 patients with Type I, 8 patients with Type II a, 2 patients with Type II b1, 5 patients with Type II b2 were included. The decision-making for the surgical techniques used in each patient followed the recommendation of the novela* algorithm. The postoperative JOA scores of all types of patients improved significantly (p < 0.05), and the invasion rates of vertebral canal had also been significantly reduced (p < 0.05). In terms of restoring cervical curvature, patients with Type I (receiving ACAF) and Type II b2 (receiving laminectomy with instrumented fusion) benefited more from surgery (p < 0.05). Conclusion A newa* algorithm guiding the choice of surgical approach for cervical OPLL was validated in a series of 30 patients. Through this analysis, we obtained on their clini
Purpose: We developed an open-source, rule-baseda* algorithm to automate cause of death coding for analyzing mortality in understudied populations, such as people experiencing homelessness, and dynamic public health cri...
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Purpose: We developed an open-source, rule-baseda* algorithm to automate cause of death coding for analyzing mortality in understudied populations, such as people experiencing homelessness, and dynamic public health crises including overdoses and climate-related deaths. Methods: Death categories of immediate public health concern were selected and keyword lists representing each category were developed in consultation with a domain expert. A rule-based keyword matchinga* algorithm was built to assign death records into the selected death categories. Thea* algorithm was trained on death certificate data from five counties across the United States. A case study applying thea* algorithm to deaths among people experiencing homelessness in Clark County, NV from 2015 to 2018 (N = 646) tested the accuracy of the program against a manual coder. Results: There was strong agreement between thea* algorithm and the manual coder in the all-cause identification (kappa 0.905) and mutually exclusive sorting (kappa 0.853) methods. Our findings illustrate thea* algorithm's ability to accurately classify death certificates into useful categories. Conclusion: This open-source, customizablea* algorithm may be utilized by researchers, journalists, and others to conduct mortality analyses with publicly available death certificate data, bridging gaps in existing mortality tracking efforts.
In this paper, we will survey the different uses of the terma* algorithm in contemporary legal practice. We will argue that the concept ofa* algorithm currently exhibits a substantial degree of open texture, co-determined...
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In this paper, we will survey the different uses of the terma* algorithm in contemporary legal practice. We will argue that the concept ofa* algorithm currently exhibits a substantial degree of open texture, co-determined by the open texture of the concept ofa* algorithm itself and by the open texture inherent to legal discourse. We will substantiate our argument by virtue of a case study, in which we analyze a recent jurisprudential case where the first and second-degree judges have carved-out contrasting notions ofa* algorithm. We will see that, thanks to our analysis of the open texture of the notion ofa* algorithm in legal language, we can make sense of the different decisions taken by the judges as different contextually-determined sharpenings of the concept ofa* algorithm. Finally, we will draw some general conclusions concerning the use of technical terms in legal instruments that address new technologies, such as the EU AI Act.
Objectives: Blood cultures obtained in the emergency department (ED) may become positive after discharge. Healthcare professionals must determine if these results represent true infection or a likely contaminant. An i...
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The collapse of man-made structures, which frequently bury people beneath rubble, is one of the main causes of death worldwide. Natural disasters and human inefficiency, degradation, and decay are the main causes of t...
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The collapse of man-made structures, which frequently bury people beneath rubble, is one of the main causes of death worldwide. Natural disasters and human inefficiency, degradation, and decay are the main causes of this. So, in these urgent situations, a quick and effective deployment is crucial. No-line-of-sight (NLOS) signal analysis, which is the fundamental of seeing through the wall of critical information that is not visible, is disclosed through analysis, and developmental systems can be seen for identifying imprisoned human victims and detecting differences in disaster scenarios. This technology is essential for locating stranded people and evaluating different crises. Ultra-wideband (UWB) signal data, augmented by machine learning techniques, provides a large and quantified output that is useful for applications including engineering, scientific research, and Search and Rescue (SAR) operations. However, this method's primary drawbacks are its large dimensionality, infrequency, and noise, which makes catastrophic scenario prediction difficult. The curse of dimensionality has been addressed in a variety of ways, but issues with accuracy, dependability, and scalability still exist. To choose relevant subset features from the data and for better generalization in various contexts, this work uses an adaptive human presence detectora* algorithm that hybridizes dimensionality reduction techniques genetica* algorithm (GA), which maximizes feature selection, and independent component analysis (ICA), which lowers the dimensionality of the chosen features. The features are sent into the classifiers for technique analysis based on their class variants. A bagged ensemble machine learning classifier was used to assess the reduced dataset, and among other performance measures, The findings with accuracy are 85.69 %, sensitivity of 79.30, and specificity of 91.67 %. These outcomes show how the suggested hybrid strategy can be used to efficiently pick and classify features in
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