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Search Results: 1 - 10 of 65432 matches for " ZHOU Ming-quan "
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Cyber Games and Interactive Entertainment
Suiping Zhou,Zhongke Wu,Ming-Quan Zhou
International Journal of Computer Games Technology , 2009, DOI: 10.1155/2009/713584
Real-time simulation system of large-scale traffic network

MA Ming-quan,ZHOU Ming-quan,GENG Guo-hua,

计算机应用 , 2006,
Abstract: On basis of cellular automaton model and CS model, with the help of multithread, high-speed updating of the whole simulation system of large-scale traffic network was realized. The actual experiments show that the average update time is less than one second for a tragic network of 400 intersections, that is sufficient for real-time simulation.
Polygonal approximation algorithm of contour curves

ZHANG Zhi-gang,ZHOU Ming-quan,

计算机应用 , 2006,
Abstract: For every point on contour curves, the support area and support radius were first calculated based on actual distance of adjacent pixels, end points were obtained with linear interpolation technique; Next, the distance between point and its eentroid of support area was used as feature strength to determine feature points candidate; Finally, those points with local maximum feature strength were selected as vertices of polygonal. Experiments demonstrate that this algorithm has strong errortolerant capacity for curves digitization and rotation.
Chaotic Hybrid Bacterial Colony Chemotaxis Algorithm Based on Tent Map
Jia-Ze Sun,Guo-Hua Geng,Shu-Yan Wang,Ming-Quan Zhou
Journal of Software , 2012, DOI: 10.4304/jsw.7.5.1030-1037
Abstract: Aiming at improving the global convergence speed of bacterial colony chemotaxis (BCC) optimization algorithm, a new chaotic hybrid bacterial colony chemotaxis (CHBCC) algorithm is introduced through the technique of hybrid algorithm. By integrating elitist strategy and chaotic optimization into bacterial colony chemotaxis optimization algorithm, it greatly enhances the local searching efficiency and global searching performance. Furthermore, the bacteria are divided into two sub-swarms and perform different operations to co-evolve, one sub-swarm searches via BCC and the other searches via chaos algorithm based on Tent Map at the same time. Simulation results on some benchmark functions show that CHBCC is pretty efficient to solve complex problems. It has high optimization efficiency, good global performance, and stable optimization outcomes. The performance of CHBCC is evidently better than BCC and BC.
Effects of Yifei Kangliu Qral Liquid on cell cycle and protein-nucleic acid synthesis of experimental lung cancer
HAN Ming-Quan
Zhong Xi Yi Jie He Xue Bao , 2003,
Abstract: Objective: To explore the effect of the traditional Chinese medicine Yifei Kangliu (YFKL) Oral Liquid on the proliferation, cell cycle and protein-nucleic acid synthesis of murine Lewis lung cancer cell and human lung adenocarcinoma cell line SPC-A-1. Methods: The inhibiting rates of tumor growth were calculated by weighing the weight of tumor inoculated in vivo, combined by counting cancer cells in vitro. The ratio of the cell cycle and exponents of DNA, RNA, and protein were measured by flow cytometry (FCM). Results: The inhibiting rate of tumor growth in the treated group with YFKL Oral Liquid was 30.38% (P<0.05). The proportion of cells in S phase of the treated groups with YFKL Oral Liquid was lower than that of the control group. In the group with most significant result, 72% of the cells were stagnated in G0/G1 phase. The inhibiting rates of DNA, RNA and protein in murine Lewis lung cancer were 7.4%, 23.73% and 23.31% respectively. In SPC-A-1 cell line, the inhibiting rates were 9.3%, 10.1% and 14.7% respectively, demonstrating amplified effects on lower levels. Conclusion: YFKL Oral Liquid significantly inhibited the proliferation of murine Lewis lung cancer cell and human lung adenocarcinoma cell line SPC-A-1 by blocking the cancer cells entering the proliferative phase resulted from its inhibition of DNA.
Prognostic analysis of advanced non small cell lung cancer treated by sequential chemo-radiation therapy combined with traditional Chinese medicine: A report of 54 cases
HAN Ming-Quan
Zhong Xi Yi Jie He Xue Bao , 2003,
Abstract: Objective: To evaluate the influence of fewer courses and prolonged intervals of chemotherapy on survival rate of advanced non small cell lung cancer (NSCLC) patients treated by sequential chemo-radiation therapy combined with traditional Chinese medicine (TCM). Methods: From Jan.2000 to Dec.2001, 54 untreated advanced NSCLC patients (2 stage Ⅲa, 18 stage Ⅲb, 34 stage Ⅳ) were treated by sequential chemo-radiation therapy combined with TCM. The courses of chemotherapy were reduced and the intervals of chemotherapy were longer than that of the standard regimen. The efficacy and survival rate were documented and the prognostic factors were analyzed. Results: Complete remission (CR) was observed in 1 case and partial remission (PR) in 20 cases. The overall objective response rate was 40.4%. Median survival was 15.3 months, 1-, 2- and 3- year survival rate were 53.7%, 28.9% and 9.6% respectively. The median survival of stage Ⅲ and Ⅳ were 21.8 months and 12.5 months respectively. The 1-, 2-, and 3- year survival rates of stage Ⅲ were 65.0%,49.5%, 24.7% and that of stage Ⅳ were 47.0%, 23.3%, 0%, respectively. The quality of life was improved in most of the patients. Cox's proportional hazards regression showed that improved quality of life and treatment of TCM were the significant prognostic factors of overall survival. Conclusion: Chemotherapy and radiotherapy combined with TCM is beneficial to extending the interval of chemotherapy, improving the quality of life, and increasing the survival rate of advanced NSCLC patients.
Central Catadioptric Camera Calibration Based on Collinear Space Points

DUAN Fu-Qing,LV Ke,ZHOU Ming-Quan,

自动化学报 , 2011,
Abstract: For central catadioptric cameras, the projection of a space line is a conic segment, and most of the calibration methods using lines need conic fitting of line images, which highly affects the calibration accuracy. However, generally only a small segment of the conic is visible, which makes the conic fitting error-prone. In this paper, we derive a nonlinear constraint on all camera intrinsic parameters from the projections of any three collinear space points. With the principal point known, the constraint becomes linear for para-catadioptric cameras. With all other parameters known, the constraint becomes a polynomial constraint on the effective focal length. Based on this constraint, we propose three calibration algorithms under different conditions. The proposed algorithms need no conic fitting of line images, need no scene information, and the calibration accuracy is high. Experiments demonstrate the efficiency of the proposed algorithms.
An Overview of Performance Evaluation in Content-based Image Retrieval

WEI N,GENG Guo-hu,ZHOU Ming-quan,

中国图象图形学报 , 2004,
Abstract: Promoted by the professional and diverse demands of image retrieval, the technique of content-based image retrieval (CBIR) becomes more mature. More and more commercial and scientific research systems are developed. As any technique is promoted by the performance evaluation of corresponding research area, for the development of effective image retrieval applications it is imperative to study the standard of performance evaluation in content-based image retrieval. Problems such as a common image database for performance comparison and a means of getting correlation judgement for queries are explained. This paper presents a review of the methods of performance evaluation in content-based image retrieval proposed in the literatures and tries to figure out the developing direction in the future. This paper also recommends that the content-based retrieval research community should establish a standard test-bed for evaluating image retrieval effectiveness. Further work needs to be done to better involve users in the evaluation process because the ultimate aim is to measure the usefulness of a system for a user. Interactive performance evaluations including several levels of feedback and user interaction need to be developed.
3D model deformation and editing based on geometric feature

DONG Jian-jun,GENG Guo-hua,ZHOU Ming-quan,

计算机应用研究 , 2009,
Abstract: This paper presented a deformation and edition algorithm based on 3D calculation for 3D craniofacial model.The algorithm iteratively calculated feature geometric parameters of face after each deform. When requirement was fitted,it broke and stored model; or else the algorithm kept going on until model deforms to satisfying result.In order to improve the technique of free-form deformation in flexibility of user interaction and modification,improved the algorithm of point constrained deformation. Experiments ...
Face detection method based on neural network and Bayesian decision

LI Peng,GENG Guo-hua,ZHOU Ming-quan,

计算机应用研究 , 2007,
Abstract: Putting forward a face detection method which make use of BP neural network simulation and fixed the results of the simulation by Bayesian decision. Discussed the deficiency in face detection of BP neural network which was single used, and put forward a re-decision method by Bayesian decision. There were 4 000 face and non-face images which came from MITEx face database were used to complete the experiment, and the correct rate raised 3.63%. The results show the well distinguish effect of neural network, as well as the efficiency and necessary of Bayesian decision.
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