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2013 Sixth International Symposium on Computational Intelligence and Design最新文献

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The Research of Concessionaire Selection Based on an Improved Lowest Tariff Decision Model 基于改进最低电价决策模型的特许经营者选择研究
Pub Date : 2013-10-28 DOI: 10.1109/ISCID.2013.212
Wei-hua Yang, Xuan Huang
BOT projects have been widely used in the past twenty years in the construction of infrastructure projects. Choosing a suitable concessionaire is the key of the project. Based on Particle Swarm Optimization, The study develops an improved lowest tariff decision model for choosing the best concessionaire. The model and algorithm demonstrate with a numerical example of a toll expressway BOT project. The solution derived from the concessionaire decision model can be helpful to develop infrastructure projects by BOT concession successfully.
近二十年来,BOT项目在基础设施建设中得到了广泛应用。选择合适的特许经营商是项目的关键。基于粒子群算法,提出了一种改进的最低电价决策模型,用于选择最佳特许经营者。以某收费高速公路BOT项目为例,对模型和算法进行了验证。特许经营决策模型所导出的解决方案有助于基础设施BOT特许项目的成功开发。
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引用次数: 0
Acoustic Characteristics of Male and Female Voice in Mongolian Traditional Folk Long Song 蒙古族传统民间长歌男声与女声的声学特征
Pub Date : 2013-10-28 DOI: 10.1109/ISCID.2013.139
Yasheng Jin, Wenmin Liu
The Mongolian folk song is the most exquisite and typical cultural form and the artistic demonstration of the Mongolian's way of survival as well. Therefore, research on Mongolian folk songs is sure to enrich the arts treasury of all human beings. On the basis of traditional phonetics and with Mongolian long-tune as the study object, this paper analyzes the parameters we've got by the means of experimental phonetics, experiment equipment and voice function analysis software. As a consequence, we come to know the acoustic characteristics of male and female voice and get a large amount of physical and psychological parameter, which can play an active part in the exploit and protection of the long song and create a new research field.
蒙古族民歌是蒙古族最精致、最典型的文化形式,也是蒙古族生存方式的艺术展示。因此,对蒙古族民歌的研究必将丰富全人类的艺术宝库。本文在传统语音学的基础上,以蒙古长调为研究对象,通过实验语音学、实验设备和语音功能分析软件等手段,对所得到的参数进行了分析。由此,我们了解了男声和女声的声学特征,获得了大量的生理和心理参数,对长歌的开发和保护起到了积极的作用,开辟了一个新的研究领域。
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引用次数: 0
A Proposed Architecture for Building NFC Tag Services 构建NFC标签服务的建议架构
Pub Date : 2013-10-28 DOI: 10.1109/ISCID.2013.126
Jie Shen, Xin-Chen Jiang
In recent years, there are various smart phones equipping with NFC (Near Field Communication), which motivates developers to create new and innovative applications. Especially, the combination of NFC smart phones with the NFC tags that can store small amounts of data makes possible variety of business opportunities. The current paper presents an architecture for building NFC tag services, where developers, as well as service providers can make their own applications and NFC tags. The architecture contains an application framework and an NFC tag management platform. The benefit of the framework is that the technological details are hidden from the application developers thus they can focus only on the proper implementation of the business logic and the user interface. And the NFC tag management platform is proposed to implement uniform management of NFC tag data.
近年来,各种智能手机配备了NFC(近场通信),这促使开发人员创造新的创新应用。特别是,NFC智能手机与可以存储少量数据的NFC标签的结合,使各种商机成为可能。本文提出了一种构建NFC标签服务的架构,开发人员和服务提供商可以在其中制作自己的应用程序和NFC标签。该体系结构包含一个应用程序框架和一个NFC标签管理平台。该框架的好处是对应用程序开发人员隐藏了技术细节,因此他们可以只关注业务逻辑和用户界面的正确实现。提出了NFC标签管理平台,实现对NFC标签数据的统一管理。
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引用次数: 1
Describe and Analyze the Human Silhouette Based on Codebook Designing Algorithm 基于码本设计算法的人体轮廓描述与分析
Pub Date : 2013-10-28 DOI: 10.1109/ISCID.2013.83
Ye Xia, G. Yan
The silhouette is a good way to express human area and the motion information. This paper describes a method of human detection based on human's silhouette, the main content is that to create the shape vector of the moving object firstly, then to classify the human from other objects using the codebook designed. The experiments showed that this method could produce good results.
轮廓是一种很好的表达人体面积和运动信息的方法。本文介绍了一种基于人体轮廓的人体检测方法,其主要内容是首先创建运动物体的形状向量,然后利用设计的码本对人体进行分类。实验表明,该方法能取得较好的效果。
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引用次数: 1
Research on Lightweight MVC Framework Based on Spring MVC and Mybatis 基于Spring MVC和Mybatis的轻量级MVC框架研究
Pub Date : 2013-10-28 DOI: 10.1109/ISCID.2013.94
Dandan Zhang, Zhiqiang Wei, Yongquan Yang
For the development and operating efficiency of Web applications based on the Model-View-Controller (MVC) framework, and, according to the actual business environment and needs in the project practice, the framework of Web application system is studied in this paper. Through the research of Spring MVC framework and Mybatis framework as well as some related core techniques, combined with JSP and JSTL technology, this paper realizes the design of a lightweight Web application framework based on Spring MVC and Mybatis.
为了提高基于模型-视图-控制器(Model-View-Controller, MVC)框架的Web应用程序的开发和运行效率,并根据实际业务环境和项目实践中的需要,本文对Web应用系统的框架进行了研究。本文通过对Spring MVC框架和Mybatis框架以及相关核心技术的研究,结合JSP和JSTL技术,实现了基于Spring MVC和Mybatis的轻量级Web应用程序框架的设计。
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引用次数: 48
An Applied Study on WPT in Denoising Torpedo Magnetic Fuze Signal 小波变换在鱼雷磁引信去噪中的应用研究
Pub Date : 2013-10-28 DOI: 10.1109/ISCID.2013.29
Kai Liu, Jiong Sun, S. Shao, Ping Hu
Torpedo fuze signal denoising is an important action to ensure reliable operation of fuze. Based on the good characteristics of wavelet packet transform (WPT) in signal denoising, the paper used wavelet packet transform to denoise the magnetic fuze signal under a complex background interference, and a simulation of the denoising results with Mat lab is performed. Simulation result shows that the WPT denoising method can effectively eliminate background noise existed in torpedo magnetic fuze target signal with higher precision and less distortion, leading to advance the reliability of torpedo magnetic fuze operation.
鱼雷引信信号去噪是保证引信可靠工作的重要环节。基于小波包变换在信号去噪方面的良好特性,本文利用小波包变换对复杂背景干扰下的磁引信信号进行去噪,并利用Mat lab对去噪结果进行了仿真。仿真结果表明,WPT去噪方法能有效消除鱼雷磁引信目标信号中存在的背景噪声,具有较高的精度和较小的失真,提高了鱼雷磁引信工作的可靠性。
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引用次数: 0
Evaluation of Feature Extraction Methods for Face Recognition 人脸识别中特征提取方法的评价
Pub Date : 2013-10-28 DOI: 10.1109/ISCID.2013.192
Yin Liu, Chuanzhen Li, Bailiang Su, Hui Wang
Feature operators can transform raw pixel values of an image into a representation better suited to the later processing and classification steps in the face recognition system. In this paper, we evaluate the performance of 6 feature extraction methods, i.e., Local Binary Patterns, Histograms of Oriented Gradients, Scale Invariant Feature Transform, Speed-Up Robust Features, Fully Affine SIFT and Gabor features. Each feature was tested on 3 face databases of Yale, ORL and UMIST. The experimental recognition rate and matching time are given and compared to indicate different preferential features for different application conditions. ASIFT has the best result in recognition rate while SURF outperforms others in matching time.
特征算子可以将图像的原始像素值转换为更适合人脸识别系统后期处理和分类步骤的表示。在本文中,我们评估了6种特征提取方法的性能,即局部二值模式,定向梯度直方图,尺度不变特征变换,加速鲁棒特征,全仿射SIFT和Gabor特征。每个特征在耶鲁大学、ORL和UMIST的3个人脸数据库上进行了测试。给出了实验识别率和匹配时间,对比了不同应用条件下的不同优先特征。ASIFT在识别率上效果最好,SURF在匹配时间上优于其他方法。
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引用次数: 5
RCMS: Rapid Cloud Migration Solution RCMS:快速云迁移解决方案
Pub Date : 2013-10-28 DOI: 10.1109/ISCID.2013.112
Hexin Lv, Jingjing Liu
Cloud has been rapidly and broadly discussed in the last several years, definitely it's been carried into practice by many enterprises due to its undoubted expectation. Plenty of corporations (IT or Non-IT) have chosen to provide their services through cloud. To reconsider providing the same or better services through cloud, the corporations will have to implement the reengineering of all their software services. During reengineering, how to rapidly migrate the applications into cloud and how to reconstruct the development framework and architecture is the key point of success, which have not be deeply researched over by the cloud vendors yet. So this paper proposes a rapid cloud migration solution (RCMS) which includes advanced migration strategy, complete security framework, rapid development process, highly automatic reengineering, guaranteed performance monitoring and flexible storage services. These features make the migration rapid and stable which are proved cost saving and easy-maintenance.
在过去的几年里,云计算得到了迅速而广泛的讨论,由于其无可置疑的期望,它已经被许多企业付诸实践。许多公司(IT或非IT)选择通过云提供服务。为了重新考虑通过云提供相同或更好的服务,企业将不得不对其所有软件服务进行重新设计。在重构过程中,如何将应用快速迁移到云中,如何重构开发框架和体系结构是成功与否的关键,这一点目前还没有得到云厂商的深入研究。为此,本文提出了一种具有先进的迁移策略、完整的安全框架、快速的开发过程、高度自动化的重构、有保障的性能监控和灵活的存储服务的快速云迁移解决方案。这些特点使得迁移速度快、稳定性好,具有成本节约、维护方便等优点。
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引用次数: 3
Multi-objective Metaheuristics for a Location-Routing Problem with Simultaneous Pickup and Delivery 多目标元启发式方法求解同时取货和投递的位置路径问题
Pub Date : 2013-10-28 DOI: 10.1109/ISCID.2013.197
Xuefeng Wang
We address an integrated logistics system where decisions on location of depot, vehicle routing are considered simultaneously. Total cost and service quality are common criteria influencing decision-making. Literature on location routing problem (LRP) addressed the location and vehicle routing decisions with a common assumption that each vehicle can only performance pickup or delivery assignment in each dispatch. However, both demands of each customer often require be satisfied at the same time. In this paper we consider a LRP with simultaneous pickup and delivery to minimize total cost and customer waiting time. We formulate a nonlinear multi-objective integrated programming model for the problem. A heuristic algorithm based on tabu search is proposed to solve the large-size problem. We then empirically evaluate the strengths of the proposed formulations with respect to their ability to find optimal solutions or strong lower bounds, and investigate the effectiveness of the proposed heuristic approach. Results show that the proposed heuristic approach is computationally efficient in finding good quality solutions.
我们解决了一个综合物流系统,其中仓库的位置,车辆路线的决定是同时考虑的。总成本和服务质量是影响决策的常见标准。位置路径问题(LRP)的文献研究了位置和车辆路径决策,假设每辆车在每次调度中只能执行取货或送货任务。然而,每个客户的两种需求往往需要同时得到满足。在本文中,我们考虑了一个同时取货和交货的LRP,以最小化总成本和客户等待时间。针对该问题,建立了一个非线性多目标综合规划模型。提出了一种基于禁忌搜索的启发式算法来解决大尺寸问题。然后,我们根据其寻找最优解或强下界的能力来经验地评估所提出的公式的优势,并研究所提出的启发式方法的有效性。结果表明,提出的启发式方法在寻找高质量解方面具有计算效率。
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引用次数: 0
An Adult Image Recognition Method Facing Practical Application 一种面向实际应用的成人图像识别方法
Pub Date : 2013-10-28 DOI: 10.1109/ISCID.2013.182
Li Su, Feng Zhang, L. Ren
In this paper, for practical application about adult image recognition, features of the false positive images are analyzed, a new adult image recognition method is presented facing practical application. Firstly obvious normal images are filtered out making use of skin detection based on wavelet texture, secondly face analysis and color consistent image analysis are used to filter normal images satisfying the rule, finally the recognition result is obtained making use of false positive images comparison technology based on E2LSH. The experimental results show that this method can reduce false-positive rate greatly on the premises that remain the recognition rate fairly constant, compared with traditional methods.
本文针对成人图像识别的实际应用,分析了假阳性图像的特征,提出了一种面向实际应用的成人图像识别新方法。首先利用基于小波纹理的皮肤检测对明显的正常图像进行过滤,然后利用人脸分析和图像颜色一致性分析对符合规则的正常图像进行过滤,最后利用基于E2LSH的假阳性图像比较技术获得识别结果。实验结果表明,与传统方法相比,该方法在保持识别率相当稳定的前提下,可以大大降低误报率。
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引用次数: 5
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2013 Sixth International Symposium on Computational Intelligence and Design
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