为了解决从大量具有相同功能属性但非功能属性不同的候选服务中选择合适的服务并进行组合时基本服务间互操作性差和可组合性低的问题,在利用语义描述服务的基础上提出了一种基于扩展二分图的组合服务语义匹配度的计算方法,用于对组合服务的整体进行语义分析及可组合性的度量.通过将组合服务的语义匹配度和组合服务的非功能属性相结合进行服务选择,来确保选取出的基本服务能够无缝连接并进行有效组合,使得到的组合服务在满足用户需求的同时能够正确执行.将组合服务选择问题转化为多约束多目标的优化问题,并引入遗传算法予以实现.实验结果表明,支持语义匹配的组合服务选择方法是可行且有效的.

In order to solve the problems of bad interoperability and low compositability between services during selecting appropriate services from a great number of services with same functional properties and different non-functional properties and composing these services,a method to compute semantic matching degree of composite service based on bipartite graph is proposed.This method is used for evaluating compositability and semantic analysis of composite service.In order to ensure that the selected services can connect seamlessly and compose effectively,the semantic matching de-gree is combined with non-functional properties to evaluate the overall quality of composite service. The composite service can meet the needs of users and execute correctly.Services selection is trans-formed into a multi-constrained and multi-objective optimization problem.A genetic algorithm is al-so used to solve the problem.The experimental results show that the proposed method for composite service selection i

用户体验是用户创新的基础,积极的用户体验为用户创新提供高价值的创新参考。以用户与CNKI新旧版本交互过程为实证对象,采用实验研究和问卷调查相结合的方法,使用SPSS对实验数据进行分析,根据数据分析结果可知:检索功能和与用户匹配度方面,整体上来说,新版的改进提高了用户的满意度,但用户对一些细节因素的满意度与旧版相差不大;帮助功能方面,新版的改进没有提高用户满意度。根据分析结果提出了CNKI版本更新中应考虑的创新源。同时,基于此提出了基于用户体验创新研究应考虑的因素。

VAs the user experience is the basis of user innovation, a positive user experience can provide innovation reference of high val-ue for user innovation. This paper uses the user''s interaction process with the old and new versions of CNKI as the empirical research ob-ject, by using the methods of experiment and questionnaire survey, and applying SPSS analysis of experimental data, the results show that the retrieval function and user demand matching, on the whole, are improved in the new version and improve user satisfaction, but there is no significant improvement in user satisfaction with the new version in function like helpfulness. The innovation sources that should be considered in CNKI version updating are then identified;furthermore, factors that should be considered in innovation research based on us-er experience are put forward at last.

主体功能区建设力求实现区域资源环境与社会经济发展的协调。以水资源为例,通过指标构建,对黑龙江省水资源与社会经济发展协调度进行了评价。结果表明,黑龙江省水资源分布与人类生产活动在空间上很不匹配是导致不协调的主要原因之一;大庆市协调度最低,仅为0.298,处于极不协调状态,哈尔滨市、齐齐哈尔市、鸡西市、佳木斯市、七台河市、绥化市均处于不协调状态,水资源不足已经严重制约了这些地区的发展。今后应加大水利工程投资力度,优化用水结构,提高用水效率,以实现水资源与社会经济的协调发展,为主体功能区建设服务。

The construction of main functional zone aims to realize regional harmony development among environment,society and economy.We evaluated the coordination degree between water resources and social economic development in Heilongjiang Province with a series of indexes.The results showed that mismatch of water resources and human production activity in space was one of the main reasons that induce incoordination;the lowest coordination degree existed in Daqing city and only got 0.298;the cities such as Haerbin,Qiqihaer,Jixi,Jiamusi,Qitaihe and Suihua were also in the incoordinate condition.Water resources shortage has already restricted the development of these regions significantly.Some suggestions such as enhance water engineering investment,optimize water consuming structure and improve water using efficiency were put forward.

针对云计算环境中存在着大量功能相同或类似而服务质量不同的服务,而实现对这些服务选取的方法往往具有效率低和实时性差的缺点,为此,提出了一种基于聚类和Skyline计算的云计算服务选择方法;首先,对各抽象服务类采用相似度矩阵进行分类,选取其中与用户服务请求最匹配的分类作为候选分类;然后,通过Skyline计算剔除各候选分类中的冗余服务,保留支配服务作为候选服务;最后,通过最大化效用函数来选取候选服务构成组合服务;仿真实验表明文中方法能高效地实现云计算环境下的服务选取,且与其它方法比较,与用户服务请求需求具有较高的匹配度,服务选择精确度达到100%,同时算法的时间复杂度较低,具有较大的优越性。

Aiming at the service selection method in cloud computing which has a lot of similar or same functions but different quality service environment has the defects of low efficiency and real-time performance,therefore,a service selection method based on clustering and skyline computing was proposed.Firstly,the fuzzy clustering method was used to classify the abstract service class,the class with the best match ability with the user service request was defined as the candidate class,then the skyline computing was used to get the dominated candidate service,finally,the compound service was obtained by maximizing the utility function.The experiment shows the method in this paper can realize service selection in cloud computing,and compared with the other methods,it has the larger matching ability with the user request constraint with the lower algorism complexity,and the service selection accuracy is as high as 100%.Therefore it is proved has big priority.

针对仿人机器人模仿人体运动问题，从运动轨迹角度比较了基于运动解析方程方法与基于人体运动相似性方法的特点，阐述了相似性运动系统基本结构，分析了图像捕捉与处理、相似性特征处理、相似性运动约束与优化等模块功能，阐述了相似性运动中的人体运动捕获与处理、运动关节解算、运动模型简化与重定向、关键姿势处理与相似度评价、关节空间位姿计算、动力学匹配约束等方面的研究现状，最后提出了研究展望。

Aimed to the locomotion imitation problem of following human being on humand robot, this paper compared the method based on locomotion analytic equation to that one based on similarity human locomotion for designing the motion tracks of humanoid robot, which illustrated the basic structure of similarity locomotion system, the image capture and dealing, similarity feature dealing, locomotion constraint and optimization. It also described the research developments, including locomotion capturing and dealing, calculation of joints, locomotion simplified model and retargeting, key pose dealing and evaluation of similarity degree, space pose calculation of joint, dynamics march. Finally it showed the forecast and drew the conclusion.