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  • SAGE Publications  (95)
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  • SAGE Publications  (95)
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  • 1
    Online Resource
    Online Resource
    SAGE Publications ; 2014
    In:  Journal of Engineered Fibers and Fabrics Vol. 9, No. 2 ( 2014-06), p. 155892501400900-
    In: Journal of Engineered Fibers and Fabrics, SAGE Publications, Vol. 9, No. 2 ( 2014-06), p. 155892501400900-
    Abstract: In this paper, we propose a simple but efficient method to identify the correct repeat unit in a yarn-dyed fabric weave pattern and color pattern automatically, especially when they contain error pattern recognitions. With only the color pattern of the fabric to be detected, our method can solve three problems simultaneously, even though there are errors in color pattern recognition. The method extracts the weave/color repeat unit, identifies the full weave pattern, and locates and rectifies the misrecognition in color pattern if there is one. The layout of color yarns is obtained by statistical solution. The weave pattern is partly determined by the correlation between color pattern and weave pattern, while that left can be identified by tentative grouping. In this process, the weave repeat unit is obtained when every group achieves internal uniformity; moreover the misrecognition in color pattern can be located and rectified simultaneously. Finally, the color repeat unit can also be extracted in the same way. Experiments on real fabrics validate the effectiveness of our method in extracting weave/color repeat unit from color pattern which contains errors.
    Type of Medium: Online Resource
    ISSN: 1558-9250 , 1558-9250
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2014
    detail.hit.zdb_id: 2393988-6
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  • 2
    Online Resource
    Online Resource
    SAGE Publications ; 2021
    In:  Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability Vol. 235, No. 2 ( 2021-04), p. 209-229
    In: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, SAGE Publications, Vol. 235, No. 2 ( 2021-04), p. 209-229
    Abstract: Hasofer-Lind and Rackwtiz-Fiessler (HLRF) method is an efficient iterative algorithm for locating the most probable failure point and calculating the first order reliability index in structural reliability analysis. However, this method may encounter numerical instability problems for high nonlinear limit state function (LSF). In this paper, an improved HLRF-based first order reliability method is developed based on a modified Armijo line search rule and an interpolation-based step size backtracking scheme to improve the robustness and efficiency of the original HLRF method. Compared with other improved HLRF-based methods, the proposed method can not only guarantee the global convergence but also adaptively estimate some sensitive algorithm parameters, such as initial step size, step-size reduction coefficient, using the current known iterative information. Ten selected examples with high nonlinear LSFs are used to compare the robustness and efficiency of the proposed method with the original HLRF method and the improved HLRF (iHLRF) method. Results indicate that the proposed method is not only more computationally efficient but also less sensitive to the remaining user-defined algorithm parameters than the iHLRF method.
    Type of Medium: Online Resource
    ISSN: 1748-006X , 1748-0078
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
    detail.hit.zdb_id: 2246471-2
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  • 3
    Online Resource
    Online Resource
    SAGE Publications ; 2017
    In:  Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering Vol. 231, No. 1 ( 2017-01), p. 47-60
    In: Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, SAGE Publications, Vol. 231, No. 1 ( 2017-01), p. 47-60
    Abstract: The true proportional navigation guidance law, the augmented proportional navigation guidance law, or the adaptive sliding-mode guidance law, is designed based on the planar target-to-missile relative motion dynamics. By a proper construction of a nonlinear Lyapunov function for the line-of-sight angular rates in the three-dimensional guidance dynamics, it is shown that the three guidance laws mentioned above are able to ensure the asymptotic convergence of the angular rates as they are directly applied to the three-dimensional guidance environment. Furthermore, considering the missile autopilot dynamics as a first-order lag, we design three-dimensional nonlinear guidance laws by using the backstepping technique for three cases: (1) the target does not maneuver; (2) the information of target acceleration can be acquired; and (3) the target acceleration is not available but its bound is known a priori. In the first step of the backstepping design of the control law, there is no need to cancel the nonlinear coupling terms in the three-dimensional guidance dynamics in such way that the final expressions of the proposed guidance laws are significantly simplified. Thus, the proposed nonlinear Lyapunov function for the line-of-sight angular rates is a generalized function for designing three-dimensional guidance laws. Simulation results of a missile interception mission show that the proposed guidance laws are highly effective.
    Type of Medium: Online Resource
    ISSN: 0954-4100 , 2041-3025
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2017
    detail.hit.zdb_id: 2032759-6
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  • 4
    Online Resource
    Online Resource
    SAGE Publications ; 2013
    In:  Textile Research Journal Vol. 83, No. 16 ( 2013-10), p. 1673-1689
    In: Textile Research Journal, SAGE Publications, Vol. 83, No. 16 ( 2013-10), p. 1673-1689
    Abstract: In this paper we propose a highly efficient novel algorithm named Automatic Feedback Error-Correcting Color-Weave Pattern Recognition algorithm (AFEC algorithm). This algorithm is capable of simultaneously recognizing the color and weave pattern of yarn dyed fabric. The AFEC algorithm consists of three main components: 1. Color pattern recognition, 2. Weave pattern recognition, and 3. Feedback error correction. The last two each include one additional sub-algorithm, namely, the Infill algorithm and the Rectification algorithm. The first component focuses mainly on using the simplest method to reduce the time demand of color pattern recognition. With this objective we have adopted an X-means clustering algorithm which has less time complexity than other common algorithms used in this field. Furthermore, since the detection of the yarn edge and color classification in this component are designed to be independent of one another, to save time they can be run in parallel. In the second component weave pattern is detected, based on the color pattern obtained in the first component. In the second component the Infill algorithm can identify the logic embedded in the incomplete weave pattern, and hence fill in the gaps to form a complete pattern. By contrasting the color and weave patterns of the fabric, the third and final component uses a Rectification algorithm to correct errors in the recognition of color and weave pattern that may have occurred in the earlier components. Theoretical analysis, and experiments conducted during the present study, indicate that without prior knowledge the AFEC algorithm can improve the accuracy and runtime required for recognizing the color and weave pattern of yarn-dyed fabrics.
    Type of Medium: Online Resource
    ISSN: 0040-5175 , 1746-7748
    RVK:
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2013
    detail.hit.zdb_id: 2209596-2
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  • 5
    In: Ear, Nose & Throat Journal, SAGE Publications
    Abstract: Solitary fibrous tumors (SFTs) are rare mesenchymal neoplasms that were initially identified in the pleura. SFTs in the nasal or paranasal sinuses are especially rare. Most SFTs exhibit indolent behavior, with a low local recurrence rate. A 39-year-old man complained of bilateral nasal congestion, hyposmia, and occasional right eye tears six months prior to hospitalization. Based on MRI and CT imaging, a total gross surgical resection was achieved. Subsequently, postsurgical histopathological examinations were conducted. Under the microscope, pathological mitotic bodies were visible ( 〈 5 mitoses per 2 mm 2 ). The immunohistochemical staining results revealed that tumor cells were positive for CD34, BCL-2, STAT-6, and Ki-67 ( 〈 5%) but negative for EMA, S-100, PR, GFAP, and SMA. Based on these findings, the patient was diagnosed with SFT.
    Type of Medium: Online Resource
    ISSN: 0145-5613 , 1942-7522
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2067528-8
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  • 6
    Online Resource
    Online Resource
    SAGE Publications ; 2017
    In:  Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering Vol. 231, No. 3 ( 2017-03), p. 533-547
    In: Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, SAGE Publications, Vol. 231, No. 3 ( 2017-03), p. 533-547
    Abstract: The nonlinear attitude motion equations of flexible spacecraft described by the Euler angles are expressed in the vector form. Based on dynamic surface control, a new robust dynamic surface sliding mode controller is proposed for the attitude tracking and active vibration suppression of flexible spacecraft in the presence of parameter uncertainty and external disturbances. Then, a novel robust dynamic surface finite time sliding mode controller is proposed with an extended state observer such that the uncertainties can be estimated. Lyapunov stability analyses show that the two controllers can guarantee the asymptotical stability of the attitude control system. The undesirable vibration of flexible spacecraft is also actively suppressed by the modal velocity feedback approach. Finally, simulation results verified the effectiveness of the presented control algorithms.
    Type of Medium: Online Resource
    ISSN: 0954-4100 , 2041-3025
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2017
    detail.hit.zdb_id: 2032759-6
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  • 7
    Online Resource
    Online Resource
    SAGE Publications ; 2017
    In:  Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering Vol. 231, No. 3 ( 2017-03), p. 397-406
    In: Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, SAGE Publications, Vol. 231, No. 3 ( 2017-03), p. 397-406
    Abstract: Based on L 2 optimal control allocation, an autopilot design approach is proposed for the missile with aerodynamic control surfaces and reaction jets. The control system involves a control allocator and a virtual control law. A robust sliding sector with a parameter update law is proposed to deal with unmatched parameter uncertainties and unknown disturbances in the system. Then a control law is designed to produce virtual control effort signals by using the robust adaptive sliding sector. In order to distribute the virtual signals to the aerodynamic control surfaces and reaction jets on the missile, a control allocator is designed by L 2 optimal control allocation strategy. Simulation results show that the missile control system tracks the acceleration command fast and smoothly. In the tracking process, aerodynamic control surfaces cooperate with reaction jets, verifying the effectiveness of the proposed approach.
    Type of Medium: Online Resource
    ISSN: 0954-4100 , 2041-3025
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2017
    detail.hit.zdb_id: 2032759-6
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  • 8
    Online Resource
    Online Resource
    SAGE Publications ; 2024
    In:  Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
    In: Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, SAGE Publications
    Abstract: In this paper, an optimal sliding mode guidance law with impact angle constraint is proposed against maneuvering targets. Firstly, the impact angle frame for a static target is extended to a maneuvering target. Then, in this impact angle frame, the optimal reaching law of sliding mode is proposed to design an optimal sliding mode guidance law which is robust to target maneuvers and satisfies an impact angle constraint. The optimal sliding mode guidance law with impact angle constraint is also extended to the three-dimensional case. Numerical simulations in different scenarios with a realistic missile model show that the guidance law can intercept a maneuvering target with a desired impact angle, and the control effort is close to the optimal value, which verifies that the proposed optimal sliding mode guidance law has both robustness and optimality.
    Type of Medium: Online Resource
    ISSN: 0954-4100 , 2041-3025
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2024
    detail.hit.zdb_id: 2032759-6
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  • 9
    In: Journal of Intensive Care Medicine, SAGE Publications, Vol. 37, No. 4 ( 2022-04), p. 500-509
    Abstract: To determine whether surge conditions were associated with increased mortality. Design Multicenter cohort study. Setting U.S. ICUs participating in STOP-COVID. Patients Consecutive adults with COVID-19 admitted to participating ICUs between March 4 and July 1, 2020. Interventions None Measurements and Main Results The main outcome was 28-day in-hospital mortality. To assess the association between admission to an ICU during a surge period and mortality, we used two different strategies: (1) an inverse probability weighted difference-in-differences model limited to appropriately matched surge and non-surge patients and (2) a meta-regression of 50 multivariable difference-in-differences models (each based on sets of randomly matched surge- and non-surge hospitals). In the first analysis, we considered a single surge period for the cohort (March 23 – May 6). In the second, each surge hospital had its own surge period (which was compared to the same time periods in matched non-surge hospitals). Our cohort consisted of 4342 ICU patients (average age 60.8 [sd 14.8], 63.5% men) in 53 U.S. hospitals. Of these, 13 hospitals encountered surge conditions. In analysis 1, the increase in mortality seen during surge was not statistically significant (odds ratio [95% CI] : 1.30 [0.47-3.58], p = .6). In analysis 2, surge was associated with an increased odds of death (odds ratio 1.39 [95% CI, 1.34-1.43] , p  〈  .001). Conclusions Admission to an ICU with COVID-19 in a hospital that is experiencing surge conditions may be associated with an increased odds of death. Given the high incidence of COVID-19, such increases would translate into substantial excess mortality.
    Type of Medium: Online Resource
    ISSN: 0885-0666 , 1525-1489
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2001472-7
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  • 10
    Online Resource
    Online Resource
    SAGE Publications ; 2017
    In:  International Journal of Distributed Sensor Networks Vol. 13, No. 1 ( 2017-01), p. 155014771668542-
    In: International Journal of Distributed Sensor Networks, SAGE Publications, Vol. 13, No. 1 ( 2017-01), p. 155014771668542-
    Abstract: Location publication in check-in services of geo-social networks raises serious privacy concerns due to rich sources of background information. This article proposes a novel destination prediction approach Destination Prediction specially for the check-in service of geo-social networks, which not only addresses the “data sparsity problem” faced by common destination prediction approaches, but also takes advantages of the commonly available background information from geo-social networks and other public resources, such as social structure, road network, and speed limits. Further considering the Destination Prediction–based attack model, we present a location privacy protection method Check-in Deletion and framework Destination Prediction + Check-in Deletion to help check-in users detect potential location privacy leakage and retain confidential locational information against destination inference attacks without sacrificing the real-time check-in precision and user experience. A new data preprocessing method is designed to construct a reasonable complete check-in subset from the worldwide check-in data set of a real-world geo-social network without loss of generality and validity of the evaluation. Experimental results show the great prediction ability of Destination Prediction approach, the effective protection capability of Check-in Deletion method against destination inference attacks, and high running efficiency of the Destination Prediction + Check-in Deletion framework.
    Type of Medium: Online Resource
    ISSN: 1550-1477 , 1550-1477
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2017
    detail.hit.zdb_id: 2192922-1
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