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2010 2nd International Symposium on Information Engineering and Electronic Commerce最新文献

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A Fast Level Set Segmentation Method Based on the Overall Information of Image 基于图像整体信息的快速水平集分割方法
Min Li, Xiangmin Xu, Min Qian, Zhuocai Wang
Considering the characteristic that the nucleus and the nucleolus have no obvious boundary, this paper presents a fast level set method which is based on the overall information of an image to extract the nucleolus from the prostate nucleus. We pre-process the three-dimensional colorful prostate image at first, making the nucleolus (target) distinct to the surrounding environment (background) at the maximum extent. Secondly, we use the level set method to separate out nucleolus from the nucleus. The proposed method combines the edges information and regional information of the image, and it only considers the information of pixels which are around the zero-level set function in each iteration. Thus we not only have no need to re-initialize the level set function, but also have certain segmentation ability to the edge blurred images. Meanwhile, the method can improve the computation speed, too.
针对前列腺核与核仁没有明显边界的特点,提出了一种基于图像整体信息的快速水平集提取前列腺核核仁的方法。我们首先对三维彩色前列腺图像进行预处理,使核仁(目标)与周围环境(背景)最大程度地区分。其次,采用水平集方法分离出核仁和细胞核。该方法将图像的边缘信息和区域信息结合起来,每次迭代只考虑在零水平集函数附近的像素信息。这样不仅不需要重新初始化水平集函数,而且对边缘模糊的图像也有一定的分割能力。同时,该方法还可以提高计算速度。
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引用次数: 1
Simulation and Numerical Calculation on Pipeline Leakage Process 管道泄漏过程的模拟与数值计算
Zixuan Yang, Shi-dong Fan, T. Xiong
This paper discusses the simulation and numerical calculation on pipeline leakage process. At first it proposes the basic equations of transient flow, and describes the solution process based on the finite difference method and characteristic line method. It illustrates the handling of friction term, a new approach of leakage point boundary constrain, the boundary conditions of the start node and the end node as well. Finally, the simulation of pipeline leakage has been carried out with an example, and the variations of pressure and flow in the start node and the end node are obtained when the leakage occurs, which provided a theoretical basis for recognizing leakage.
本文讨论了管道泄漏过程的模拟与数值计算。首先提出了瞬态流动的基本方程,并描述了基于有限差分法和特征线法的求解过程。给出了摩擦项的处理、泄漏点边界约束的新方法、起始节点和结束节点的边界条件。最后,结合实例对管道泄漏进行了仿真,得到了泄漏发生时开始节点和结束节点的压力和流量变化情况,为泄漏识别提供了理论依据。
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引用次数: 7
Study Flow Field of Magnesium Electrolyzer by Computer Technology 用计算机技术研究镁电解槽的流场
Ze Sun, G. Lu, Xingfu Song, Shu-ying Sun, Jianguo Yu
In modern times, computer technology is used in various fields in the world. In this paper, CFD(computational fluid dynamics) was applied to build mathematical model to simulate continuous and dispersed multiphase flow in the experimental systems and an industrial electrolyzer. The Volume of Fluid model was used in the mathematical model for multi-phases. Cold model system of complex multiphase behavior of argon gas, water and silicon oil system in terms of dynamic similarity was established to validate the math model. Flow field was measured through PIV (particle-image velocimetry) technology. The results show that the built three dimensional mathematical model was valid for the system and suitable for the electrolyzer in electrolysis magnesium industry. The characteristics of complex multiphase in industrial electrolyzer were discussed in the paper.
在现代,计算机技术被用于世界各个领域。本文应用计算流体力学(CFD)建立数学模型,对实验系统和工业电解槽中的连续和分散多相流进行了数值模拟。多相流体的数学模型采用流体体积模型。建立了氩气、水和硅油体系动态相似度复杂多相行为的冷模系统,对数学模型进行了验证。采用PIV(粒子图像测速)技术测量流场。结果表明,所建立的三维数学模型对系统是有效的,适用于电解镁工业的电解槽。论述了工业电解槽中复杂多相的特点。
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引用次数: 0
Fast Handwritten Chinese Characters Segmentation Algorithm Based on Active Contour Model 基于活动轮廓模型的手写体汉字快速分割算法
Lei Zhu, Jing Yang
The classical C-V algorithm has the shortage about multi-iterative operations and the computational time is too long to segment the large size image. On the base of analysis upon the relationship between the image size and the number of iterations and time to get the right result, the article proposes a fast image segmentation algorithm based on local C-V active contour model which are based on threshold segmentation and the connected component labeling. In the first step, a coarse segmentation is obtained by using the OTSU method, then label and cut the image with the fast non-recursion pixel marking algorithm of connected domains. The segmentation is used as an initial solution in the C-V model. The analysis and experimental results indicate that the improved C-V algorithm can get the right result quickly compared with classical C-V algorithm. It is fast and effective to segment the large size image which has most profound contour details.
经典的C-V算法存在多次迭代操作和计算时间过长的缺点,无法分割大尺寸图像。在分析图像大小与得到正确结果的迭代次数和时间之间的关系的基础上,提出了一种基于局部C-V活动轮廓模型的快速图像分割算法,该算法基于阈值分割和连通分量标记。首先采用OTSU方法对图像进行粗分割,然后采用连通域快速非递归像素标记算法对图像进行标记和切割。在C-V模型中,分割被用作初始解决方案。分析和实验结果表明,与经典的C-V算法相比,改进的C-V算法可以快速得到正确的结果。对轮廓细节最深刻的大尺寸图像进行分割是快速有效的。
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引用次数: 0
A User-Centric Privacy Access Control Model 以用户为中心的隐私访问控制模型
Fei Xu, Jingsha He, Xu Wu, Jing Xu
Privacy is considered to be a critical issue for providing high quality ubiquitous network services to users over the Internet. User's privacy should be protected and access to privacy information must be controlled in accordance with user's privacy preferences. Existing privacy-aware access control strategies often store all the privacy access control policies on the server side and thus fail to consider the dynamic nature of privacy preferences. In this paper, we propose a user-centric privacy-enhanced access control model and show that our model takes the dynamic nature of user's privacy preferences into consideration and can thus fulfill any kind of privacy requirements. By separating access polices apart from privacy policies, which are now stored at user side and therefore fully under user's control, we demonstrate that our model can provide users with a flexible way of controlling privacy policies that are consistent with their preferences.
隐私被认为是在互联网上向用户提供高质量无处不在的网络服务的关键问题。应保护用户的隐私,必须根据用户的隐私偏好控制对隐私信息的访问。现有的隐私感知访问控制策略通常将所有隐私访问控制策略存储在服务器端,因此无法考虑隐私首选项的动态性。本文提出了一种以用户为中心的隐私增强访问控制模型,并表明该模型考虑了用户隐私偏好的动态性,可以满足任何类型的隐私需求。通过将访问策略与隐私策略分离开来(隐私策略现在存储在用户端,因此完全在用户的控制之下),我们证明了我们的模型可以为用户提供一种灵活的方式来控制与他们偏好一致的隐私策略。
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引用次数: 3
Fuzzy Comprehensive Evaluation Based on IOWA Operator and Application 基于IOWA算子的模糊综合评价及其应用
P. Ao, Longhua Mu
Using the method of fuzzy comprehensive evaluation to evaluate objects to be selected, defects will be brought by using subjective weight method or objective method individually to determine index weights. In this paper, a method is proposed based on IOWA operator. A variety of subjective and objective weights are integrated into a new reasonable comprehensive index weight. The quality of fuzzy comprehensive evaluation is improved by using this method. Verified by an example that a 500kV substation site to be selected is evaluated, evaluation results obtained by using this method are consistent with the actual project selection.
采用模糊综合评价的方法对待选对象进行评价,单独采用主观权重法或客观权重法确定指标权重会带来缺陷。本文提出了一种基于IOWA算子的方法。将各种主客观权重综合成一个新的合理的综合指标权重。该方法提高了模糊综合评价的质量。通过对某500kV待选变电站场址的评价实例验证,用该方法得到的评价结果与实际工程选择一致。
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引用次数: 1
Design of Thermal Economy On-Line Analysis System of Nuclear Power Unit 核电机组热经济在线分析系统的设计
Zhaofei Tian, M. Peng, K. Wang
Thermal economy on-line analysis system (TEOAS) of nuclear power unit can real-timely calculate heat economy index online and analyze thermal economy of full operating nuclear power unit, which provide decision-making basis and relevant technical data for operators and administrators in time. Therefore, the system is of practical significance for energy conservation and improving the management and operation level of nuclear power unit. In this paper, the design principals and expectant functions of TEOAS of nuclear power unit are described; the functions of every part of TEOAS of nuclear power unit are explained.
核电机组热经济在线分析系统(TEOAS)能够实时在线计算核电机组热经济指标,分析核电机组满负荷运行的热经济状况,及时为运行管理人员提供决策依据和相关技术数据。因此,该系统对于节约能源,提高核电机组的管理和运行水平具有现实意义。本文阐述了核电机组TEOAS的设计原则和预期功能;阐述了核电机组TEOAS各部分的功能。
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引用次数: 0
Robust Eye Localization on Multi-View Face in Complex Background Based on SVM Algorithm 基于SVM算法的复杂背景下多视图人脸鲁棒眼睛定位
Youjia Fu, Jianwei Li, Ruxi Xiang
Focused on multi-view eye localization in complex background, a new detection method based improved SVM is proposed. First, the face is located by AdaBoost detector and the eye searching range on the face is determined. Then, the crossing detection method, which uses the feature of eye and brow integrated as a whole, and the improved SVM detectors trained by large scale multi-view eye examples are adopted to find the candidate eye regions. Based on the fact that the window region with higher weight in SVM classifier is relatively closer to the eye, and the same eye tends to be repeatedly detected by near windows, the candidate eye regions are filtered to refine the eye location on the multi-view face. Experiments show that the method has very good accuracy and robustness to the eye localization with various face post and expression in the complex background.
针对复杂背景下的多视点眼睛定位问题,提出了一种基于改进支持向量机的检测方法。首先,利用AdaBoost检测器对人脸进行定位,确定眼睛在人脸上的搜索范围;然后,采用眼眉融合为一个整体特征的交叉检测方法和基于大规模多视角眼样本训练的改进SVM检测器寻找候选眼区域;基于SVM分类器中权重较高的窗口区域离眼睛相对较近,且同一只眼睛容易被近窗口重复检测的特点,对候选眼睛区域进行滤波,以细化多视图人脸上的眼睛定位。实验表明,该方法对复杂背景下具有多种面部表情的眼睛定位具有很好的准确性和鲁棒性。
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引用次数: 3
Notice of RetractionThe Research for Influencing Factors of Sports Consumption Concept of Chinese Urban-Town Residents at Present 撤回通知:当前我国城镇居民体育消费观念影响因素研究
Liu Min-hang, Tao-fang Yu
With the increasing China's total social economy, disposable income of urban residents is increasing significantly, meanwhile sports consumption is also increasing, while it clearly lags behind urban residents in other areas of consumption growth, what is the cause of this result? This study used systematic science perspective, under the help of modern information technology, focused on analysing factors of influencing Chinese urban-town residents' sports consumption, and tried to take necessary data analysis from following aspects: urban-town residents' leisure pattern, acknowledgement of healthy value, daily consumption analysis, mass sports consumption psychology, sports consumption value agreement. According to the study, it shows that, concept of urban-town residents' sports consumption has been changed currently, however, which lags behind developed countries totally. Lags of consumption concept is key factor of restricting the development of sports industry, upgrading problem of sports consumption structure is to be focused questions when we study sports consumption problems. Through this study, it will strengthen us understand the status of current urban-town residents' sports consumption behavior, so as to promote the development of China's sports industry and provide the necessary theoretical support and research base.
随着中国社会经济总量的不断增加,城镇居民的可支配收入也在显著增加,同时体育消费也在增加,但在其他领域的消费增长明显落后于城镇居民,造成这种结果的原因是什么?本研究运用系统科学的视角,在现代信息技术的帮助下,重点分析影响我国城镇居民体育消费的因素,并尝试从城镇居民休闲模式、健康价值认知、日常消费分析、大众体育消费心理、体育消费价值认同等方面进行必要的数据分析。研究表明,目前我国城镇居民的体育消费观念已经发生转变,但与发达国家相比仍有较大差距。消费观念的滞后是制约体育产业发展的关键因素,体育消费结构的升级问题是研究体育消费问题时应重点关注的问题。通过本研究,将加强我们对当前城镇居民体育消费行为现状的了解,从而为促进中国体育产业的发展提供必要的理论支持和研究基础。
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引用次数: 0
Research on Privacy Preserving Data in Web Log Mining Web日志挖掘中隐私保护数据的研究
Chang-bin Jiang, Li Chen
Researches on preserving private data in the application of web data mining possess practical value. Through introducing basic concepts of web log mining and private data protection, this paper analyzes the status quo of privacy preservation in web log mining, and then it puts forward privacy preserving mining model based on evolutionary algorithm of cloud model, combining with evolutionary algorithm and cloud model theory. This model utilizes digital features of cloud and transformation between its qualitative concept and quantitative value expression. Thus, this model effectively conceals sensitive data, realizes web log mining based on privacy preservation. Results of the experiment reveal the feasibility and superiority of applying evolutionary algorithm of cloud model to privacy preservation in web log mining.
在web数据挖掘的应用中,对私有数据的保存进行研究,具有一定的实用价值。通过介绍web日志挖掘和私有数据保护的基本概念,分析了web日志挖掘中隐私保护的现状,结合进化算法和云模型理论,提出了基于云模型进化算法的隐私保护挖掘模型。该模型利用了云的数字化特征及其定性概念与定量价值表达之间的转换。因此,该模型有效地隐藏了敏感数据,实现了基于隐私保护的web日志挖掘。实验结果表明,将云模型进化算法应用于web日志挖掘中隐私保护的可行性和优越性。
{"title":"Research on Privacy Preserving Data in Web Log Mining","authors":"Chang-bin Jiang, Li Chen","doi":"10.1109/IEEC.2010.5533261","DOIUrl":"https://doi.org/10.1109/IEEC.2010.5533261","url":null,"abstract":"Researches on preserving private data in the application of web data mining possess practical value. Through introducing basic concepts of web log mining and private data protection, this paper analyzes the status quo of privacy preservation in web log mining, and then it puts forward privacy preserving mining model based on evolutionary algorithm of cloud model, combining with evolutionary algorithm and cloud model theory. This model utilizes digital features of cloud and transformation between its qualitative concept and quantitative value expression. Thus, this model effectively conceals sensitive data, realizes web log mining based on privacy preservation. Results of the experiment reveal the feasibility and superiority of applying evolutionary algorithm of cloud model to privacy preservation in web log mining.","PeriodicalId":307678,"journal":{"name":"2010 2nd International Symposium on Information Engineering and Electronic Commerce","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129696775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
期刊
2010 2nd International Symposium on Information Engineering and Electronic Commerce
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