已有的大脑皮层分割方法多是在磁共振成像(MRI)图像的大脑结构分割基础上,再提取皮层信息作为最终分割结果.针对现有方法存在的数据量大、分割效率低、准确率易受到大脑内部结构分割结果影响的问题,提出了一种考虑样本均衡机制的大脑皮层点云语义分割方法.首先在充分考虑大脑皮层点云集合数据特点的基础上,应用PointNet分割网络对大脑皮层进行语义分割;然后引入样本均衡机制改善分割模型的损失函数,以提升较小语义分区对分割结果的贡献度.不同数据集上的实验结果表明,与SLANT-27相比,使用PointNet大脑皮层点云语义分割方法能够有效提高分割准确率和分割效率,而融入样本均衡机制后的大脑皮层点云语义分割方法在小分区的分割准确率上提高了至少16个百分点.研究结果显示PointNet能够很好地解决大脑皮层分割问题,并且样本均衡机制能够明显提升语义分区的平均准确率.
因水下环境复杂,鱼类三维模型获取非常困难,基于三维鱼类数据驱动的很多自动化研究工作无法开展.为此,提出一种三维鱼体参数化建模方法.首先,用专业建模师构建的标准鱼体模板注册扫描仪采集三维鱼体数据,构建拓扑结构一致的三维鱼体网格数据集;其次,用主成分分析法对数据集中的三维鱼体网格模型进行建模分析,建立鱼体的参数化表示模型;最后,采集草鱼数据进行相关实验.实验结果表明,注册得到的三维鱼体模型与真实扫描鱼体模型顶点之间的平均均方根误差仅为0.6913 mm,在可接受范围.通过改变三维鱼体参数化表示模型中的权参数,快速生成了大量三维鱼体数据,从而解决了三维鱼体数据获取困难的问题.
大型发电机在运行过程中受到运行状态和环境的影响,定子绝缘易出现损坏而导致发电机故障.定子绝缘寿命预测作为多年来研究的热点,也是提高发电机运行稳定性的重要途径.该文综合国内外研究,总结了当前几种绝缘寿命预测的方法,并对寿命预测方法进行分类比较,将绝缘预测方法分为基于回归分析的预测、基于智能算法的预测以及基于数据采集的预测,对三种方法在各种应用条件下的预测效果优劣进行分析,提出了当前研究中存在的问题及绝缘寿命预测方法未来的研究趋势.
The images captured in low-light conditions are often of poor visual quality as most of details in dark regions buried. Although some advanced low-light image enhancement methods could lighten an image and its dark regions, they still cannot reveal the details in dark regions very well. This paper presents an adaptive dark region detail enhancement method for low-light images. As our method is based on the Retinex theory, we first formulate the Retinex-based low-light image enhancement problem into a Bayesian optimization framework. Then, a dark region prior is proposed and an adaptive gradient amplification strategy is designed to incorporate this prior into the illumination estimation. The dark region prior, together with the widely used spatial smooth and structure priors, leads to a dark region and structure-aware smoothness regularization term for illumination optimization. We provide a solver to this optimization and get final enhanced results after post processing. Experiments demonstrate that our method can obtain good enhancement results with better dark region details compared to several state-of-the-art methods.
For the problem of resource load unevenness of task scheduling in cloud computing, this paper proposes Load Balancing Ant Colony Optimization (LBACO) based on load conditions of virtual machines. At the same time, the pheromone initialization, heuristic function, state transition probability, and pheromone updating method in the ant colony algorithm(ACO) are improved. The improved scheduling strategy was experimented on the CloudSim platform. The experimental results show that compared with ACO and RR algorithms, the LBACO algorithm achieves better performance in terms of makespan of task sets and the system load balance.
In recent years, cloud computing has gained more and more attention. Task and resource scheduling becomes one of the key problems in cloud computing. This paper refers to a new prediction-based algorithm based on Ant Colony Optimization which combines the available computing resources (referred as Virtual Machines, VMs) with arriving jobs with various Quality of Service constraints (QoS, defined by users). The traditional Ant Colony Optimization algorithms usually contain properties of computing resources but without taking users' constraints into consideration and ignore the heterogeneity of cloud resources. Therefore, an algorithm in this paper is proposed which classifies the jobs into two species. And then users' QoS constraints are sorted as well as computing resources according to their computing capabilities. This paper aims at proposing an ant colony optimization (ACO) algorithm to schedule jobs with various QoS parameters on VMs with different resource parameters. Experiment results show that the proposed prediction-based algorithm outperforms the ACO algorithm to some extent in finding the best dispatch of tasks to VMs.
现代测温系统中广泛使用的是基于PID调节的温控器,该技术具有实现简单、可消除稳态误差等优点,但市场上大多数该类仪器都是利用模拟PID控制器实现对温度控制的,而利用计算机软件来实现PID控制算法比模拟PID控制器具有更大的灵活性和可靠性.基于此,文章在模拟PID控制器的基础上研究了数字化PID控制器的实现方法.
产学研用协同创新人才培养培养模式是一种以市场和用户需求为导向,有效促进企业、高校、科研院所与用户四者之间在各方面的深度合作,有效促进新型实践教学体系的构建,有效推进学生的工程能力、创新能力和综合素质的培养的教育形式.而电气工程专业作为与企业联系比较紧密的专业,更应通过校企深度合作,改革现有的教育模式,形成高校教育特色,促进校企双方协同发展,进一步推动区域经济和社会的快速稳定可持续发展,来打造一种新型的高等教育办学模式.
How to make full use of Web services and construct application by composing existing services on demand in the dynamic and open environment is a challenge issue.This paper presented an approach to larger-granularity service composition for business-users,which encapsulated domain knowledge into prefabricated and modifiable templates.By this approach,business-users can construct applications just like assembling hardware by composing reusable and larger-granularity modules,which facilitates automated service composition and enhances abstract level to some extent.
This paper designs a service composition language based on Domain Specific Language(DSL) for the service scheduling problem in the large-scale concurrent applications.It gives the main features,constructing process and the executing engine's detailed design of the language.The language provides the semantic description and syntax description of the composition process for Web services.It uses top-down composition approach to solve the composition process granularity control and heterogeneous messages matching.
How to make full use of Web service and construct application by composing existing services on demand in the dynamic and open environment is a challenging issue. This paper proposes a user-centric business-user development approach - time-driven Web service composition approach. The approach relies on the temporal relationships between the services and business-users can construct applications by setting the time attributes of the services, which facilitates automated service composition and fits for the business-user construct application.
A framework was proposed for web service dynamic compositon based on sematics. Accordding to the dependence of service’s interfaces, service composition can be confirmed dynamically. Concept matching based on sematics is used to accomplish the match between service interfaces. Users confirm the input and output parameters in line with the requirement, then service composition can be confirm automatically by procedure.
A method of quickly realizing a routine of combined query by using ADO object is presented in this paper.The method is quite easy to realize in VB and other software development tools.
The principle and some methods are presented to control datawindow to produce SQL statement,and several applied techniques are presented such as to update the tables of not in data source,to set default value in the new rows of datawindow,.
Enterprise Service Bus is the request and convergence point of all the services for the large-scale distributed applications. How to compose the service in the dynamic and open network environment is a difficult problem. This paper proposes a service-oriented DSL composition language, which provides Web service semantic description of the composition process. The language uses top-down composition approach and considers the matching of heterogeneous messages. It can be properly resolved the composition process granularity control and heterogeneous messages matching. It has some application value for loosely coupled, cross-platform, heterogeneous environments composition and integration of Web service such as e-commerce, e-government, and workflow based on Web services and so on.
How to compose software services on the business level real-time and construct applications on-demand is a challenging issue. A method called TryBest to larger-granularity services composition for business-users was presented in the foregoing work, which is based on constraint solving of business process and prefabricated and modifiable templates. With TryBest, business-users can construct applications just like assembling hardware by composing larger-granularity and reusable modules. The validity of composition logic is prerequisite of services successful execution. A verification approach is presented in this paper. The approach can verify the logic structure of service composition.
A rapid way to realize a routine of combined query in PB is presented with examples in this paper,and it can save lots of time for programming and improve the efficiency in software development.
The "island" problem between the different information systems is getting worse with the rapid development of network technology. A better method to solve this problem is to use fashionable service-oriented architecture (SOA). But in the SOA development pattern, it was difficult to meet the authorization requirement between the different nodes and the system when they request services and share resources with each other. This paper presents a service permission description model. It can adapt to the new characteristics of a distributed open environment by expanding role.
In order to solve the problem of 'Information Island' in the present construction of E-government, to make better use of information resource, to reduce redundancy, to realize information sharing, it is imperative to integrate the information resources. In this paper, a SOA-based information resource integration platform for E-government is proposed and applied to an E-government information system. It can solve the heterogeneous between the different data source and 'Information Island' effectively. It is significance for the integration of E-government systems information resources.
A simplified model of movement that snowflakes float is established based on the dynamics principle.The virtual scene that snow float is rendered based on particle system is implemented by Direct3D technologies.A simplified model of particle launchers and similar wind model are proposed so that computing speed and simulation effect are improved.Then,a method of collision detecting is put forward.Experiments show that natural result and real-time speed can be achieved by this method.And, the method can also be used to other scene simulation,such as rain,smoke,fog,and so on.