http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Huan Ding (검색결과 22 건)
- 무료
- 기관 내 무료
- 유료
-
Huan Liu,Kuangrong Hao,Yongsheng Ding 한국정보과학회 2017 Journal of Computing Science and Engineering Vol.11 No.3
In this paper, the abdominal-deformation measurement scheme is conducted on a shape-flexible mannequin using the DIC technique in a stereo-vision system. Firstly, during the integer-pixel displacement search, a novel fractal dimension based on an adaptive-ellipse subset area is developed to track an integer pixel between the reference and deformed images. Secondly, at the subpixel registration, a new mutual-learning adaptive particle swarm optimization (MLADPSO) algorithm is employed to locate the subpixel precisely. Dynamic adjustments of the particle flight velocities that are according to the deformation extent of each interest point are utilized for enhancing the accuracy of the subpixel registration. A test is performed on the abdominal-deformation measurement of the shape-flexible mannequin. The experiment results indicate that under the guarantee of its measurement accuracy without the cause of any loss, the time-consumption of the proposed scheme is significantly more efficient than that of the conventional method, particularly in the case of a large number of interest points.
-
Huan Zhang,Zilai Pan,Lianjun Du,Chao Yan,Bei Ding,Qi Song,Huawei Ling,Kemin Chen 대한영상의학회 2008 Korean Journal of Radiology Vol.9 No.2
Objective: To investigate the relationship between the perfusion CT features and the clinicopathologically determined prognostic factors in advanced gastric cancer cases. Materials and Methods: A perfusion CT was performed on 31 patients with gastric cancer one week before surgery using a 16-channel multi-detector CT (MDCT) instrument. The data were analyzed with commercially available software to calculate tumor blood flow (BF), blood volume (BV), mean transit time (MTT), and permeability surface (PS). The microvessel density (MVD), was evaluated by immunohistochemical staining of the surgical specimens with anti- CD34. All of the findings were analyzed prospectively and correlated with the clinicopathological findings, which included histological grading, presence of lymph node metastasis, serosal involvement, distant metastasis, tumor, node, metastasis (TNM) staging, and MVD. The statistical analyses used included the Student’s t-test and the Spearman rank correlation were performed in SPSS 11.5. Results: The mean perfusion values and MVD for tumors were as follows: BF (48.14 16.46 ml/100 g/min), BV (6.70 2.95 ml/100 g), MTT (11.75 4.02 s), PS (14.17 5.23 ml/100 g/min) and MVD (41.7 11.53). Moreover, a significant difference in the PS values was found between patients with or without lymphatic involvement (p = 0.038), as well as with different histological grades (p = 0.04) and TNM stagings (p = 0.026). However, BF, BV, MTT, and MVD of gastric cancer revealed no significant relationship with the clinicopathological findings described above (p > 0.05). Conclusion: The perfusion CT values of the permeable surface could serve as a useful prognostic indicator in patients with advanced gastric cancer. Objective: To investigate the relationship between the perfusion CT features and the clinicopathologically determined prognostic factors in advanced gastric cancer cases. Materials and Methods: A perfusion CT was performed on 31 patients with gastric cancer one week before surgery using a 16-channel multi-detector CT (MDCT) instrument. The data were analyzed with commercially available software to calculate tumor blood flow (BF), blood volume (BV), mean transit time (MTT), and permeability surface (PS). The microvessel density (MVD), was evaluated by immunohistochemical staining of the surgical specimens with anti- CD34. All of the findings were analyzed prospectively and correlated with the clinicopathological findings, which included histological grading, presence of lymph node metastasis, serosal involvement, distant metastasis, tumor, node, metastasis (TNM) staging, and MVD. The statistical analyses used included the Student’s t-test and the Spearman rank correlation were performed in SPSS 11.5. Results: The mean perfusion values and MVD for tumors were as follows: BF (48.14 16.46 ml/100 g/min), BV (6.70 2.95 ml/100 g), MTT (11.75 4.02 s), PS (14.17 5.23 ml/100 g/min) and MVD (41.7 11.53). Moreover, a significant difference in the PS values was found between patients with or without lymphatic involvement (p = 0.038), as well as with different histological grades (p = 0.04) and TNM stagings (p = 0.026). However, BF, BV, MTT, and MVD of gastric cancer revealed no significant relationship with the clinicopathological findings described above (p > 0.05). Conclusion: The perfusion CT values of the permeable surface could serve as a useful prognostic indicator in patients with advanced gastric cancer.
-
-
-
Recursive Identification Algorithms for a Class of Linear Closed-loop Systems
Huan Xu,Feng Ding,Ahmed Alsaedi,Tasawar Hayat 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.12
This paper focuses on the identification problems for a class of linear closed-loop systems. On one hand, the identifiability condition is investigated for the case where the controller is in series with the plant on the forward channel. On the other hand, the identification model is derived after parametrization, in which the parameter vector only contains the parameters of the controlled plant instead of the whole closed-loop system, and a recursive least squares algorithm and a stochastic gradient algorithm are proposed for closed-loop systems. In order to improve the parameter estimation accuracy, a forgetting factor and a convergence index are introduced into the proposed stochastic gradient algorithm. The simulation results demonstrate the effectiveness of the proposed algorithms.
-
Liu, Huan,Hao, Kuangrong,Ding, Yongsheng Korean Institute of Information Scientists and Eng 2017 Journal of Computing Science and Engineering Vol.11 No.3
In this paper, the abdominal-deformation measurement scheme is conducted on a shape-flexible mannequin using the DIC technique in a stereo-vision system. Firstly, during the integer-pixel displacement search, a novel fractal dimension based on an adaptive-ellipse subset area is developed to track an integer pixel between the reference and deformed images. Secondly, at the subpixel registration, a new mutual-learning adaptive particle swarm optimization (MLADPSO) algorithm is employed to locate the subpixel precisely. Dynamic adjustments of the particle flight velocities that are according to the deformation extent of each interest point are utilized for enhancing the accuracy of the subpixel registration. A test is performed on the abdominal-deformation measurement of the shape-flexible mannequin. The experiment results indicate that under the guarantee of its measurement accuracy without the cause of any loss, the time-consumption of the proposed scheme is significantly more efficient than that of the conventional method, particularly in the case of a large number of interest points.
-
Multimodal Repair of Spinal Cord Injury With Mesenchymal Stem Cells
Yuan-huan Ma,Qing-yue Liang,Ying Ding,한인보,Xiang Zeng 대한척추신경외과학회 2022 Neurospine Vol.19 No.3
Spinal cord injury (SCI) is a result of a devastating injury to the central nervous system. Currently, there is no effective treatment available for these patients. The possible use of mesenchymal stem cell (MSC)-based treatment for SCI has been the focus of extensive investigations and is increasingly moving from the bench to bedside. Both experimental observations and clinical studies have shown the safety and efficacy of MSCs in managing SCI. However, the exact mechanism by which MSCs contribute to the repair of the injured spinal cord remains to be elucidated. In this review, we aim to summarize current research findings about the role of MSCs in improving complex pathology after SCI. MSCs exert a multimodal repair mechanism targeting multiple events in the secondary injury cascade. Our recent results showing the perineurium-like differentiation of surviving MSCs in the injured spinal cord may further the understanding of the fate of transplanted MSCs. These findings provide fundamental support for the clinical use of MSCs in SCI patients. Under experimental conditions, combining novel physical, chemical, and biological approaches led to significant improvements in the therapeutic efficacy of MSCs. These findings hold promise for the future of cell-based clinical treatment of SCI.
-
Cong-huan Ye,Zeng-gang Xiong,Yao-Ming Ding,Xueming Zhang,Guangwei Wang,Fang Xu 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.7
Average collusion attack is a very effective attack for digital fingerprinting system. Moreover, the commercial value of the colluded content is often time-sensitive. The more profit the colluder will make from it when the colluded copy is distributed earlier. This paper presents a new collusion-resilience approach with recursive chaotic desynchronization and social network. It has processed chaotic transformations due to random image grid based on chaos. The experimental results show that collusion even with only two copies results in degradation of the image metric, even if those traitors try to resynchronization using image registration technology. However, it will take expensive computational cost to do that, and the visual quality is degraded expensively with the increase of the number of fingerprinted copies.
-
A Secure Fingerprinted Multimedia Distribution Using Social Network Analysis
Cong-huan Ye,Zeng-gang Xiong,Yao-ming Ding,Xueming Zhang,Guangwei Wang,Fang Xu 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.4
Collusion attack is a very effective attack for digital fingerprinting system. In order to remove or attenuate the fingerprint information hidden in fingerprinted content, a number of users produce a new colluded copy through their own fingerprinted copies. In this paper, we address a novel collusion-resisting desynchronization fingerprinting approach using social network analysis. The novelty of this paper is that collusion attack occurred in a multimedia social network community with high probability. Different from all existing works, with desynchronization model constructed upon social network, the original image is desynchronized to get many similar copies which are different from each other, and then they are assigned and distributed to subscribers according to social network analysis. Theory analysis shows that the presented desynchronization distribution method has significantly better performance than those existing distribution schemes. The experimental results also show that the average colluded images even with only two desynchronized copies have poor visual quality. And the visual quality of colluded images does not improve apparently with the increase of the number of copies.
-
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
