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  • SAGE Publications  (25)
  • 1
    Online Resource
    Online Resource
    Curve recognition algorithm based on edge point curvature voting
    SAGE Publications ; 2020
    In:  Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering Vol. 234, No. 4 ( 2020-03), p. 1006-1019
    Details
    In: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, SAGE Publications, Vol. 234, No. 4 ( 2020-03), p. 1006-1019
    Abstract: In this paper, a new curve-lane recognition algorithm is proposed. The algorithm uses edge point curvature voting to determine the region of interest based on near-vision straight-lane information. First, information is detected in the near-vision area regarding the straight lines to the left and right of the current lane. Near-vision lane-line extraction includes lane image filtering, as well as edge detection of the region of interest below the vanishing line. The vanishing point is positioned by determining the position of the edge point and distribution of the direction angle. In addition, the straight line is extracted based on the position of the vanishing point. The straight lines that are constructed for the current lane in this way are selected and used as supplementation, in combination with the lane model. Next, the road curvature range isometry is divided into multiple subdivision regions. The near-vision lane straight-line curvature parameters extending from each edge point in the region of interest are computed by combining the straight-line near-vision lane information with the curve lane model in the pixel coordinate system. Subsequently, voting and counting are carried out for the curvature regions of each edge point to which the corresponding curvature computing values belong. Finally, the counting maximum from the corresponding curvature regions of the straight lines located to the left and right of the current lane are searched for, and the curvature region is converted, to obtain the lane line corresponding to the curvature parameter values. Experimental results indicate that the proposed curve-lane recognition algorithm can effectively detect the curve lanes of different curvatures. The results also indicate that the proposed curve detection method is highly accurate, and the algorithm is very robust in different environments.
    Type of Medium: Online Resource
    ISSN: 0954-4070 , 2041-2991
    URL: Article
    DOI: 10.1177/0954407019866975
    RVK:
    ZO 4200
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2020
    detail.hit.zdb_id: 2032754-7
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  • 2
    Online Resource
    Online Resource
    Noninvasive evaluation of renal oxygenation in primary nephrotic syndrome with blood oxygen level dependent magnetic resonance imaging: Initial experience
    SAGE Publications ; 2015
    In:  Journal of International Medical Research Vol. 43, No. 3 ( 2015-06), p. 356-363
    Details
    In: Journal of International Medical Research, SAGE Publications, Vol. 43, No. 3 ( 2015-06), p. 356-363
    Abstract: To use blood oxygen level dependent (BOLD) magnetic resonance imaging (MRI) to evaluate renal oxygenation in patients with primary nephrotic syndrome (PNS), and test the hypothesis that renal tissue oxygenation correlates with renal function, tubulointerstitial alterations and treatment response. Methods Patients with untreated first-onset PNS and healthy control subjects underwent BOLD MRI. Blood and urine samples were obtained on the day of MRI, and patients underwent renal biopsy the day after MRI. Renal tubulointerstitial damage scores (TIDS) were determined using Katafuchi criteria. All patients received corticosteroids within 7 days after MRI and were followed up for 12 months. Results Medullary R2* values were significantly lower in patients with PNS ( n = 20) than controls ( n = 18). Medullary R2* values were negatively correlated with estimated glomerular filtration rates and positively correlated with TIDS in patients with PNS. There were no significant differences in medullary or cortical R2* values when patients were classified according to treatment response. Conclusions The medullary oxygen concentration was higher in patients with PNS than in control subjects. BOLD MRI was a useful noninvasive method for the evaluation of renal function and tubulointerstitial impairment.
    Type of Medium: Online Resource
    ISSN: 0300-0605 , 1473-2300
    URL: Article
    DOI: 10.1177/0300060515579117
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2015
    detail.hit.zdb_id: 2082422-1
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  • 3
    Online Resource
    Online Resource
    A Concise and Efficient Total Synthesis of α-Mangostin and β-Mangostin from Garcinia Mangostana
    SAGE Publications ; 2013
    In:  Natural Product Communications Vol. 8, No. 8 ( 2013-08), p. 1934578X1300800-
    Details
    In: Natural Product Communications, SAGE Publications, Vol. 8, No. 8 ( 2013-08), p. 1934578X1300800-
    Abstract: The concise, efficient synthesis of α-mangostin is described in eight simple steps with 8.3% overall yield. Highlights include a practical approach to construct the isopentene groups and other diverse groups at C–2 and C–8 of the xanthene skeleton through Claisen rearrangement and Wittig reaction. Meanwhile the first total synthesis of β-mangostin is presented with a similar approach.
    Type of Medium: Online Resource
    ISSN: 1934-578X , 1555-9475
    URL: Article
    DOI: 10.1177/1934578X1300800818
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2013
    detail.hit.zdb_id: 2430442-6
    SSG: 15,3
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  • 4
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    Online Resource
    Effect of Ni interlayer on the microstructure, mechanical and corrosion properties of the dissimilar 1MnCrMoNi/X70 steels friction welding joint
    SAGE Publications ; 2022
    In:  Science and Technology of Welding and Joining Vol. 27, No. 1 ( 2022-01-02), p. 61-67
    Details
    In: Science and Technology of Welding and Joining, SAGE Publications, Vol. 27, No. 1 ( 2022-01-02), p. 61-67
    Type of Medium: Online Resource
    ISSN: 1362-1718 , 1743-2936
    URL: Article
    DOI: 10.1080/13621718.2021.2013708
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2053754-2
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  • 5
    Online Resource
    Online Resource
    Body Mass Index and Risk of Total and Type-Specific Stroke in Chinese Adults: Results from a Longitudinal Study in China
    SAGE Publications ; 2013
    In:  International Journal of Stroke Vol. 8, No. 4 ( 2013-06), p. 245-250
    Details
    In: International Journal of Stroke, SAGE Publications, Vol. 8, No. 4 ( 2013-06), p. 245-250
    Abstract: The prevalence rate of overweight and obese has been escalating over the past two decades in China. Even so, the association between obesity and stroke still remains unclear to some extent. Aims The aim of this study was to elucidate the association between body mass index and stroke in a large Chinese population cohort. Methods A cohort of 26 607 Chinese people, aged over 35 years, was investigated in 1987. Baseline information of body weight and height was used to calculate BMI (weight in kilograms divided by height in meters squared, kg/m 2 ). Cox proportional hazards model was fitted to estimate hazard ratios of stroke adjusted for age, educational level, smoking and alcohol consumption. Results The 11-year follow-up revealed (241 149 person-years) a total of 1108 stroke events (614 ischemic, 451 hemorrhagic, and 44 undefined stroke). Body mass index ≥ 30·0 was an independent risk factor for stroke both in men and women. Compared with normal weight, hazard ratios for total stroke were 0·74 in men underweight (95% confidence interval: 0·53∼1·03), 1·63 overweight (95% confidence interval: 1·35∼1·96), and 2·20 with obesity (95% confidence interval: 1·47∼3·30); and with ischemic stroke, hazard ratios were 0·52 in those underweight (95% confidence interval: 0·30∼0·89), 208 overweight (95% confidence interval: 1·65∼2·62), and 3·80 with obesity (95% confidence interval: 2·47∼5·86). In women, the corresponding hazard ratios for total stroke were 0·79 underweight (95% confidence interval: 0·58∼1·07), 1·42 overweight (95% confidence interval: 1·16∼1·73), and 1·57 with obesity (95% confidence interval: 1·06∼2·31); and for those with ischemic stroke, 0·92 underweight (95% confidence interval: 0·59∼1·43), 1·90 overweight (95% confidence interval: 1·44∼2·50), and 2·42 with obesity (95% confidence interval: 1·50∼3·93). There appeared an evident dose-response relationship between body mass index and the risk of developing stroke, which still appeared, however, adjusted low for hypertension, diabetes, and heart disease. Decreased risk for stroke in the leanest group was confined to men only. No association was found between body mass index and hemorrhagic stroke in both genders. Conclusions Our data suggest that body mass index was an independent risk factor for total and ischemic stroke but not for hemorrhagic stroke in both genders. Association between body mass index and stroke was extremely mediated by hypertension, diabetes, and heart disease. Decreased risk for the leanest group was confined to men.
    Type of Medium: Online Resource
    ISSN: 1747-4930 , 1747-4949
    URL: Article
    DOI: 10.1111/j.1747-4949.2012.00830.x
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2013
    detail.hit.zdb_id: 2211666-7
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  • 6
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    Online Resource
    Effect of post-weld heat treatment on the joint of friction-welded 1MnCrMoNi steel
    SAGE Publications ; 2021
    In:  Science and Technology of Welding and Joining Vol. 26, No. 3 ( 2021-04-03), p. 220-226
    Details
    In: Science and Technology of Welding and Joining, SAGE Publications, Vol. 26, No. 3 ( 2021-04-03), p. 220-226
    Type of Medium: Online Resource
    ISSN: 1362-1718 , 1743-2936
    URL: Article
    DOI: 10.1080/13621718.2021.1882654
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
    detail.hit.zdb_id: 2053754-2
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  • 7
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    Path tracking based on model predictive control with variable predictive horizon
    SAGE Publications ; 2021
    In:  Transactions of the Institute of Measurement and Control Vol. 43, No. 12 ( 2021-08), p. 2676-2688
    Details
    In: Transactions of the Institute of Measurement and Control, SAGE Publications, Vol. 43, No. 12 ( 2021-08), p. 2676-2688
    Abstract: Model predictive control is one of the main methods used in path tracking for autonomous vehicles. To improve the path tracking performance of the vehicle, a path tracking method based on model predictive control with variable predictive horizon is proposed in this paper. Based on the designed model predictive controller for path tracking, the response analysis of path tracking control system under the different predictive horizons is carried out to clarify the influence of predictive horizon on path tracking accuracy, driving comfort and real-time of the control algorithm. Then, taking the lateral offset, the steering frequency and the real-time of the control algorithm as comprehensive performance indexes, the particle swarm optimization algorithm is designed to realize the adaptive optimization for the predictive horizon. The effectiveness of the proposed method is evaluated via numerical simulation based on Simulink/CarSim and hardware-in-the-loop experiment on an autonomous driving simulator. The obtained results show that the optimized predictive horizon can adapt to the different driving environment, and the proposed path tracking method has good comprehensive performance in terms of path tracking accuracy of the vehicle, driving comfort and real-time.
    Type of Medium: Online Resource
    ISSN: 0142-3312 , 1477-0369
    URL: Article
    DOI: 10.1177/01423312211003809
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
    detail.hit.zdb_id: 2025882-3
    SSG: 3,2
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  • 8
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    BOLD MRI to evaluate early development of renal injury in a rat model of diabetes
    SAGE Publications ; 2018
    In:  Journal of International Medical Research Vol. 46, No. 4 ( 2018-04), p. 1391-1403
    Details
    In: Journal of International Medical Research, SAGE Publications, Vol. 46, No. 4 ( 2018-04), p. 1391-1403
    Abstract: To investigate changes in renal oxygenation levels by blood-oxygenation-level dependent (BOLD)-magnetic resonance imaging (MRI), and to evaluate BOLD-MRI for detecting early diabetic renal injury. Methods Seventy-five rats, with unilateral nephrectomy, were randomly divided into streptozotocin-induced diabetes mellitus (DM, n = 65) and normal control (NC, n = 10) groups. BOLD-MRI scans were performed at baseline (both groups) and at 3, 7, 14, 21, 28, 35, 42, 49, 56, 63 and 70 days (DM only). Renal cortical (C) and medullary (M) R2* signals were measured and R2* medulla/cortex ratio (MCR) was calculated. Results DM-group CR2* and MR2* values were significantly higher than NC values following diabetes induction. R2* values increased gradually and peaked at day 35 (CR2*, 33.95 ± 0.34 s –1 ; MR2*, 43.79 ± 1.46 s –1 ), then dropped gradually (CR2*, 33.17 ± 0.69 s –1 ; MR2*, 41.61 ± 0.95 s –1 at day 70). DM-group MCR rose gradually from 1.12 to 1.32 at day 42, then decreased to 1.25 by day 70. Conclusions BOLD-MRI can be used to non-invasively evaluate renal hypoxia and early diabetic renal injury in diabetic rats. MCR may be adopted to reflect dynamic changes in renal hypoxia.
    Type of Medium: Online Resource
    ISSN: 0300-0605 , 1473-2300
    URL: Article
    DOI: 10.1177/0300060517743826
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2018
    detail.hit.zdb_id: 2082422-1
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  • 9
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    Online Resource
    A novel path tracking approach considering safety of the intended functionality for autonomous vehicles
    SAGE Publications ; 2022
    In:  Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering Vol. 236, No. 4 ( 2022-03), p. 738-752
    Details
    In: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, SAGE Publications, Vol. 236, No. 4 ( 2022-03), p. 738-752
    Abstract: To reduce the adverse effect of the functional insufficiency of the steering system on the accuracy of path tracking, a path tracking approach considering safety of the intended functionality is proposed by coordinating automatic steering and differential braking in this paper. The proposed method adopts a hierarchical architecture consisting of a coordinated control layer and an execution control layer. In coordinated control layer, an extension controller considering functional insufficiency of the steering system, tire force characteristics and vehicle driving stability is proposed to determine the weight coefficients of automatic steering and the differential braking, and a model predictive controller is designed to calculate the desired front wheel angle and additional yaw moment. In execution control layer, a H∞ steering angle controller considering external disturbances and parameter uncertainty is designed to track desired front wheel angle, and a braking force distribution module is used to determine the wheel cylinder pressure of the controlled wheels. Both simulation and experiment results show that the proposed method can overcome the functional insufficiency of the steering system and improve the accuracy of path tracking while maintaining the stability of the autonomous vehicle.
    Type of Medium: Online Resource
    ISSN: 0954-4070 , 2041-2991
    URL: Article
    DOI: 10.1177/09544070211020535
    RVK:
    ZO 4200
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2032754-7
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  • 10
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    Online Resource
    Research on vehicle detection based on the regional feature fusion
    SAGE Publications ; 2022
    In:  Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering Vol. 236, No. 8 ( 2022-07), p. 1795-1808
    Details
    In: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, SAGE Publications, Vol. 236, No. 8 ( 2022-07), p. 1795-1808
    Abstract: Vehicle detection plays a crucial role in the decision-making, planning, and control of intelligent vehicles. It is one of the main tasks of environmental perception and an essential part of ensuring driving safety. In order to capture unique vehicle features and improve vehicle recognition efficiency, this paper fuses texture features of image and edge features of LIDAR to detect frontal vehicle targets. First, we use wavelet analysis and geometric analysis to segment the ground and determine the region of interest for vehicle detection. Then, the point cloud of the vehicle detected is projected into the image to locate the ROI. Moreover, the edge feature of the vehicle is guided to extract according to the maximum gradient direction of the vehicle’s rear contour. Furthermore, the Haar texture feature is integrated to identify the vehicle, and a filter is designed according to the point cloud’s spatial distribution to eliminate the error targets. Finally, it is verified by real-vehicle comparison tests that the proposed fusion method can effectively improve the vehicles’ detection with not much time.
    Type of Medium: Online Resource
    ISSN: 0954-4070 , 2041-2991
    URL: Article
    DOI: 10.1177/09544070211046673
    RVK:
    ZO 4200
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2032754-7
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