This paper proposes a novel implementation of the level set method that achieves real-time level-set-based object tracking. In the proposed algorithm, the evolution of the curve is realized by simple operations such a...This paper proposes a novel implementation of the level set method that achieves real-time level-set-based object tracking. In the proposed algorithm, the evolution of the curve is realized by simple operations such as switching values of the level set functions and there is no need to solve any partial differential equations (PDEs). The object contour could change due to the change in the location, orientation or due to the changeable nature of the object shape itself. Knowing the contour, the average color value for the pixels within the contour could be found. The estimated object color and contour in one frame are the bases for locating the object in the consecutive one. The color is used to segment the object pixels and the estimated contour is used to initialize the deformation process. Thus, the algorithm works in a closed cycle in which the color is used to segment the object pixels to get the object contour and the contour is used to get the typical-color of the object. With our fast algorithm, a real-time system has been implemented on a standard PC. Results from standard test sequences and our real time system are presented.展开更多
A class of interactive multi objective decision making method by means of evaluation criterion is proposed for problems with linear value function,in which case,the decision maker(DM) usually has only unwhole infor...A class of interactive multi objective decision making method by means of evaluation criterion is proposed for problems with linear value function,in which case,the decision maker(DM) usually has only unwhole information of weights for objectives. The concept of fault measure of the evaluation criterion is proposed to measure the deviation of the evaluation criterion from the DMs preference structure.The approach to obtain an upper boundary of fault measure of an evaluation criterion,and the approach to modify the evaluation criterion to be one with smaller fault measure,and the approach to obtain a pre optimized objective set by evaluation criterion with certain fault measure are also proposed.展开更多
目的探索以执业能力为导向的导师负责制在骨科实习生培养中的应用效果。方法选取2021年9月—2023年6月2021和2022学年“5+3”一体化的60名本科实习生作为研究对象,将2021学年的实习生作为对照组,2022学年的实习生作为研究组,每组30名。...目的探索以执业能力为导向的导师负责制在骨科实习生培养中的应用效果。方法选取2021年9月—2023年6月2021和2022学年“5+3”一体化的60名本科实习生作为研究对象,将2021学年的实习生作为对照组,2022学年的实习生作为研究组,每组30名。对照组采用标准教学模式培养,研究组采用以执业能力为导向的导师负责制模式培养,培养时间为1个月。比较2组实习生的理论和临床考核成绩、迷你临床演练评估量表(mini-clinical evaluation exercise,Mini-CEX)评分、主观-客观-评价-计划(subject-objective-assessmentplan,SOAP)评分、医患沟通技能评价量表(set elicit give understand end framework,SEGUE)评分。结果2组实习生的客观题和临床技能考核成绩比较,差异无统计学意义(P>0.05);研究组实习生的病例分析题成绩、Mini-CEX评分、SOAP评分和SEGUE评分([41.3±3.5)分、(47.9±7.0)分、(74.4±7.7)分、(20.5±3.2)分]高于对照组[(36.8±6.1)分、(36.0±7.0)分、(62.0±7.1)分、(18.1±3.0)分],差异均有统计学意义(P<0.05)。结论以执业能力为导向的导师负责制能够明显提高骨科实习生的临床诊疗水平,有助于培养出更优秀的医学人才。展开更多
The problem of fault reasoning has aroused great concern in scientific and engineering fields.However,fault investigation and reasoning of complex system is not a simple reasoning decision-making problem.It has become...The problem of fault reasoning has aroused great concern in scientific and engineering fields.However,fault investigation and reasoning of complex system is not a simple reasoning decision-making problem.It has become a typical multi-constraint and multi-objective reticulate optimization decision-making problem under many influencing factors and constraints.So far,little research has been carried out in this field.This paper transforms the fault reasoning problem of complex system into a paths-searching problem starting from known symptoms to fault causes.Three optimization objectives are considered simultaneously: maximum probability of average fault,maximum average importance,and minimum average complexity of test.Under the constraints of both known symptoms and the causal relationship among different components,a multi-objective optimization mathematical model is set up,taking minimizing cost of fault reasoning as the target function.Since the problem is non-deterministic polynomial-hard(NP-hard),a modified multi-objective ant colony algorithm is proposed,in which a reachability matrix is set up to constrain the feasible search nodes of the ants and a new pseudo-random-proportional rule and a pheromone adjustment mechinism are constructed to balance conflicts between the optimization objectives.At last,a Pareto optimal set is acquired.Evaluation functions based on validity and tendency of reasoning paths are defined to optimize noninferior set,through which the final fault causes can be identified according to decision-making demands,thus realize fault reasoning of the multi-constraint and multi-objective complex system.Reasoning results demonstrate that the improved multi-objective ant colony optimization(IMACO) can realize reasoning and locating fault positions precisely by solving the multi-objective fault diagnosis model,which provides a new method to solve the problem of multi-constraint and multi-objective fault diagnosis and reasoning of complex system.展开更多
文摘This paper proposes a novel implementation of the level set method that achieves real-time level-set-based object tracking. In the proposed algorithm, the evolution of the curve is realized by simple operations such as switching values of the level set functions and there is no need to solve any partial differential equations (PDEs). The object contour could change due to the change in the location, orientation or due to the changeable nature of the object shape itself. Knowing the contour, the average color value for the pixels within the contour could be found. The estimated object color and contour in one frame are the bases for locating the object in the consecutive one. The color is used to segment the object pixels and the estimated contour is used to initialize the deformation process. Thus, the algorithm works in a closed cycle in which the color is used to segment the object pixels to get the object contour and the contour is used to get the typical-color of the object. With our fast algorithm, a real-time system has been implemented on a standard PC. Results from standard test sequences and our real time system are presented.
文摘A class of interactive multi objective decision making method by means of evaluation criterion is proposed for problems with linear value function,in which case,the decision maker(DM) usually has only unwhole information of weights for objectives. The concept of fault measure of the evaluation criterion is proposed to measure the deviation of the evaluation criterion from the DMs preference structure.The approach to obtain an upper boundary of fault measure of an evaluation criterion,and the approach to modify the evaluation criterion to be one with smaller fault measure,and the approach to obtain a pre optimized objective set by evaluation criterion with certain fault measure are also proposed.
文摘目的探索以执业能力为导向的导师负责制在骨科实习生培养中的应用效果。方法选取2021年9月—2023年6月2021和2022学年“5+3”一体化的60名本科实习生作为研究对象,将2021学年的实习生作为对照组,2022学年的实习生作为研究组,每组30名。对照组采用标准教学模式培养,研究组采用以执业能力为导向的导师负责制模式培养,培养时间为1个月。比较2组实习生的理论和临床考核成绩、迷你临床演练评估量表(mini-clinical evaluation exercise,Mini-CEX)评分、主观-客观-评价-计划(subject-objective-assessmentplan,SOAP)评分、医患沟通技能评价量表(set elicit give understand end framework,SEGUE)评分。结果2组实习生的客观题和临床技能考核成绩比较,差异无统计学意义(P>0.05);研究组实习生的病例分析题成绩、Mini-CEX评分、SOAP评分和SEGUE评分([41.3±3.5)分、(47.9±7.0)分、(74.4±7.7)分、(20.5±3.2)分]高于对照组[(36.8±6.1)分、(36.0±7.0)分、(62.0±7.1)分、(18.1±3.0)分],差异均有统计学意义(P<0.05)。结论以执业能力为导向的导师负责制能够明显提高骨科实习生的临床诊疗水平,有助于培养出更优秀的医学人才。
基金supported by Sub-project of Key National Science and Technology Special Project of China(Grant No.2011ZX05056)
文摘The problem of fault reasoning has aroused great concern in scientific and engineering fields.However,fault investigation and reasoning of complex system is not a simple reasoning decision-making problem.It has become a typical multi-constraint and multi-objective reticulate optimization decision-making problem under many influencing factors and constraints.So far,little research has been carried out in this field.This paper transforms the fault reasoning problem of complex system into a paths-searching problem starting from known symptoms to fault causes.Three optimization objectives are considered simultaneously: maximum probability of average fault,maximum average importance,and minimum average complexity of test.Under the constraints of both known symptoms and the causal relationship among different components,a multi-objective optimization mathematical model is set up,taking minimizing cost of fault reasoning as the target function.Since the problem is non-deterministic polynomial-hard(NP-hard),a modified multi-objective ant colony algorithm is proposed,in which a reachability matrix is set up to constrain the feasible search nodes of the ants and a new pseudo-random-proportional rule and a pheromone adjustment mechinism are constructed to balance conflicts between the optimization objectives.At last,a Pareto optimal set is acquired.Evaluation functions based on validity and tendency of reasoning paths are defined to optimize noninferior set,through which the final fault causes can be identified according to decision-making demands,thus realize fault reasoning of the multi-constraint and multi-objective complex system.Reasoning results demonstrate that the improved multi-objective ant colony optimization(IMACO) can realize reasoning and locating fault positions precisely by solving the multi-objective fault diagnosis model,which provides a new method to solve the problem of multi-constraint and multi-objective fault diagnosis and reasoning of complex system.
