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2011 Second International Conference on Innovations in Bio-inspired Computing and Applications最新文献

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Cooperative Bayesian Optimization Algorithm: A Novel Approach to Simultaneous Multiple Resources Scheduling Problem 协同贝叶斯优化算法:一种解决多资源同步调度问题的新方法
X. Hao, Xili Chen, H. Lin, T. Murata
During the past several years, there has been a significant amount of research conducted simultaneous multiple resources scheduling problem (SMRSP) Intelligence manufacturing based on meta-heuristics, such as genetic algorithms (GAs), simulated annealing (SA) particle swarm optimization(PSO), has become a common tool to find satisfactory solutions within reasonable computational times in real settings. However, there are few researches considering interdependent relation during the decision activities, moreover for complex and large problems, local constraints and objectives from each managerial entity cannot be effectively represented in a single model for complex and large problems. In this paper, we propose a novel cooperative Bayesian optimization algorithm (COBOA) undertaking divide-and-conquer strategy and co-evolutionary framework. Considerable experiments are conducted and the results confirmed that COBOA outperforms recent researches for the scheduling problem in FMS.
在过去的几年里,人们对同步多资源调度问题(SMRSP)进行了大量的研究,基于元启发式的智能制造,如遗传算法(GAs)、模拟退火(SA)、粒子群优化(PSO)等,已经成为在实际环境中在合理的计算时间内找到满意解决方案的常用工具。然而,考虑决策活动中相互依存关系的研究很少,而且对于复杂大问题,各个管理实体的局部约束和目标无法在复杂大问题的单一模型中有效地表示。本文提出了一种采用分而治之策略和协同进化框架的新型协同贝叶斯优化算法(COBOA)。经过大量的实验,结果证实COBOA优于FMS调度问题的最新研究。
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引用次数: 5
A Linear Subspace Learning Approach via Low Rank Decomposition 基于低秩分解的线性子空间学习方法
Fanlong Zhang, Jian Yang
Most existing subspace analysis methods for image recognition estimate the sample scatter matrices directly based on the training images. However, such methods do not consider the different contributions of different image components to image representation and recognition. Considering that the dominant component will contribute much more than the residual component to image pattern classification, we present a novel discriminate criterion which maximizes the total scatter of dominant components and minimizes simultaneously the total scatter of residual components. This criterion gives rise to a new subspace analysis method, namely the subspace analysis via low rank decomposition (SAL). Further, a supervised version of SAL (SSAL) is presented. The experimental results on benchmark image databases validated that SAL and SSAL outperform those representative subspace analysis methods such as PCA, LDA, LLP and SPP.
现有的图像识别子空间分析方法大多是直接基于训练图像估计样本散点矩阵。然而,这些方法没有考虑到不同图像成分对图像表示和识别的不同贡献。考虑到优势分量对图像模式分类的贡献远大于残差分量,提出了一种使优势分量的总散点最大化和残差分量的总散点最小化的判别准则。这一准则产生了一种新的子空间分析方法,即低秩分解子空间分析。在此基础上,提出了一种监督版本的SAL (SSAL)。在基准图像数据库上的实验结果验证了SAL和SSAL优于PCA、LDA、LLP和SPP等具有代表性的子空间分析方法。
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引用次数: 3
A Portal Architecture Based on IT Services 基于IT服务的门户体系结构
Tingting Sun, Futong Huang
The main work of Power Group Enterprises' IT services and operation includes services application, troubleshooting and work order processing. This paper proposes a set of workflows and portal architecture of services application, troubleshooting and fault classification, which has a very large of reference value for the IT services industry.
电力集团企业IT服务运营的主要工作包括服务申请、故障排除和工单处理。本文提出了一套服务应用、故障排除和故障分类的工作流程和门户体系结构,对IT服务行业具有很大的参考价值。
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引用次数: 0
New Reverse Converter Design of Moduli Set {2n, 2n+1-1, 2n-1} 模集{2n, 2n+1-1, 2n-1}的新型反变换器设计
Yuan-Ching Kuo, M. Sheu, S. Siao, Cheng Huang, Tzu-Hsuing Chen
An efficient design of the reverse converter forthe three-moduli set {2n, 2n+1-1, 2n-1} is presented in thispaper. The reverse converter  is structured by an adderbased on New Chinese Remainder Theorem II (NewCRT-II) conversion such that it can improve thehardware cost. The proposed conversion design iscompared with the existing works based on the standardCell TSMC 0.18µm CMOS technology. Under the samedynamic range(DR), the experimental results indicatethat our design has better performance in terms of thearea×  delay  ×  power. The proposed converter canachieve about average 46.596 % and 61.890 % reductionfor those design with 4n-bit and 5n-bit dynamic range,respectively.
本文针对三模集{2n, 2n+1-1, 2n-1}给出了一种有效的反变换器设计。该反向转换器采用基于新中文剩余定理II (NewCRT-II)转换的加法器结构,从而提高了硬件成本。将所提出的转换设计与基于标准cell TSMC 0.18µm CMOS技术的现有工作进行了比较。在相同的动态范围(DR)下,实验结果表明,我们的设计在面积×延迟×功率方面具有更好的性能。对于采用4n-bit和5n-bit动态范围的设计,所提出的转换器可以分别实现46.596%和61.890%的平均降幅。
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引用次数: 2
Realization of Image Encryption Scheme Based on Chaotic Binary Sequence 基于混沌二值序列的图像加密方案的实现
Xiaoli Geng, Quan Ding
Due to extensive research of non-linear science theory (the chaos) in the image encryption, we find especially that the properties of chaos make itself particularly suitable for image encryption. On the basis of many excellent features of chaotic sequence, combining application of chaotic theory in cryptography, the paper puts forward image encryption based on chaotic binary sequence. On Logistic digital chaotic system platform, the paper gives the realization mechanism of image encryption based on digital chaotic binary Logistic sequence. Meanwhile, the paper also conducts histogram analysis, key sensitivity analysis and damage resistance analysis for the encrypted image. Simulation results show that this method can better resist damage and is very sensitive for secret key.
通过对非线性科学理论(混沌)在图像加密中的广泛研究,我们发现混沌的特性使其特别适合于图像加密。根据混沌序列的许多优点,结合混沌理论在密码学中的应用,提出了一种基于混沌二值序列的图像加密方法。在Logistic数字混沌系统平台上,给出了基于数字混沌二值Logistic序列的图像加密实现机制。同时,本文还对加密后的图像进行了直方图分析、密钥灵敏度分析和抗损伤性分析。仿真结果表明,该方法具有较好的抗破坏性能和对密钥的敏感性。
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引用次数: 2
Visibility Improvement by Detail Eenhancement on Medical Images 利用细节增强技术提高医学图像的可见性
Wen-Li Lee, Mei-Juan Chen
Improving visibility on medical images is crucially important for facilitating diagnostic accuracy. We propose a method which aims at improving visibility on medical images by means of detail enhancement. The core techniques we employ to achieve detail enhancement are coefficient estimation and coefficient refinement, and all are manipulated in wavelet domain. Our method enables visually hidden information to be revealed and blurred texture to be restored without significantly altering averaged optical density and dynamic range of medical images. Moreover, the proposed method enables the level for detail enhancement to be scalably selectable, through which an optimally enhanced image can be obtained for viewer¡¦s reference.
提高医学图像的可见性对于提高诊断准确性至关重要。提出了一种通过细节增强来提高医学图像可见性的方法。实现细节增强的核心技术是系数估计和系数细化,均在小波域内进行处理。我们的方法能够在不显著改变医学图像平均光密度和动态范围的情况下,揭示视觉上隐藏的信息,恢复模糊的纹理。此外,该方法使细节增强的级别具有可伸缩性,从而可以获得最佳增强图像供观看者参考。
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引用次数: 0
An Application of the Database Technology Based on XML Used for Nuclear Fuel Calculation Platform 基于XML的数据库技术在核燃料计算平台中的应用
Ying Peng, Guodong Jiao
This paper first makes an analysis about the current status of the computing platforms of nuclear fuel and their defects, then we propose to introduce XML database in current platforms in order to overcome those problems in indexing of file system data, cross-platform data communication, and hazard in data saving. Finally, we design a novel database architecture based on existing relational database using XML technology.
本文首先分析了核燃料计算平台的现状及存在的缺陷,然后提出在现有平台中引入XML数据库,以克服文件系统数据的索引、跨平台数据通信和数据保存方面存在的问题。最后,在现有关系数据库的基础上,利用XML技术设计了一种新的数据库体系结构。
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引用次数: 0
Using the Image Recognition Techniques to Implement an Automatic Examining Mechanism for the Sports Fitness 利用图像识别技术实现运动健身自动检测机制
C. Tzeng, T. Wey
In this paper, a color-based recognition approach is proposed to recognize and track the trajectory of moving object and use this approach for the examining of sports fitness to construct an automatic examining system. The quantity for the specific movements will be measured and counted by this system to substitute for traditional method to eliminate the error due to subjective evaluation. This automatic examining system can reduce the error rates as well as decrease the use of manpower, and to reduce the overall examining time effectively. So, doing the examination of sports fitness by this system in the campus is so easy, convenient, and practical, and it is not rigidly suffer from the manpower issue, the venue and the inconsistent action. It seems from the experimental results, this proposed method can indeed achieve the goal of automatic examining and will be focused on the promotion of the design and application of the overall system
本文提出了一种基于颜色的运动物体轨迹识别和跟踪方法,并将该方法应用于运动健身检测中,构建了运动健身自动检测系统。该系统将对具体动作的数量进行测量和计数,取代传统方法,消除主观评价带来的误差。该自动检测系统在降低检测错误率的同时,减少了人力的使用,有效地缩短了整体检测时间。因此,利用该系统在校园内进行体育健身考试具有简单、方便、实用的特点,并且不拘囿于人力、场地和动作不一致等问题。从实验结果来看,所提出的方法确实可以达到自动检测的目的,将重点推广整个系统的设计和应用
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引用次数: 0
A Real Time Personal Identification Based on Fourier Transform of Palmprint Recognition 基于掌纹识别傅里叶变换的实时身份识别
Shunyu Yang
In this paper, we propose a real time personal identification based on Fourier transform for palm-print recognition. An auto hand gesture segmentation method is proposed in the paper and after the segmentation, a modified Fourier transform are used for the image processing. Machine leaning based trainings are used to get the palm print trait database. At last, performances are shown for theidentification.
本文提出了一种基于傅立叶变换的掌纹实时身份识别方法。本文提出了一种自动手势分割方法,分割后采用改进的傅立叶变换对图像进行处理。采用基于机器学习的训练方法获取掌纹特征库。最后进行了性能验证。
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引用次数: 5
Image Segmentation Method with Positron Emission Tomography Time Sequence Images 正电子发射断层扫描时序图像分割方法
Chih-Yu Hsu, Y. Lai, Chih-Cheng Chen, Yu-Tzu Lee
Positron emission tomography(PET)images are often used to detect physiology function.However,PET images have more blurs than anatomic images,such as magnetic resonance imaging(MRI)and computed tomography(CT).With the graylevel of PET images,Doctors need to manually obtain the region of interest(ROI).THis paper presents a PET image segmentation technology based on the wavelet theory.Through sampling,recombination,and fetching the thresholds of images,theimage segmentation with 1960 dynamic PET images of abdominal organs were conducted. Compared with a sigle PET image, the image segmentation technology proposed can accurately and rapidly identify the boundaries of organs,such as the small intestines,the liver,and the kidney,as well as efficiently provide the ROI information for doctors.
正电子发射断层扫描(PET)图像常用于检测生理功能。然而,PET图像比解剖学图像,如磁共振成像(MRI)和计算机断层扫描(CT)有更多的模糊。利用PET图像的灰度值,医生需要手动获取感兴趣区域(ROI)。提出了一种基于小波理论的PET图像分割技术。通过对图像进行采样、重组和提取阈值,对1960幅腹部器官动态PET图像进行图像分割。与单幅PET图像相比,所提出的图像分割技术能够准确、快速地识别小肠、肝脏、肾脏等器官的边界,并有效地为医生提供ROI信息。
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引用次数: 1
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2011 Second International Conference on Innovations in Bio-inspired Computing and Applications
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