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Cost-Efficient Distributed Amplification in a Bidirectional Optical Fiber Link 双向光纤链路中成本效益高的分布式放大
F. Khan, Ahmed Raza Danish, S. Ghafoor
We propose and demonstrate a novel technique to implement distributed amplification in a bidirectional link. Multiple optical signals are transmitted in a duplex configuration over a single fiber. The multiple channels are generated using only two optical sources on each side of the link. Distributed amplification is achieved using Raman scattering where the data modulated signal in the downlink direction acts as a pump signal as well. To obtain maximum Raman gain and to minimize Rayleigh scattering, the difference between the center frequencies of the downlink and uplink signals is kept at 13 THz. The resulting bit-error-rate plots show low values of receiver sensitivities.
我们提出并演示了一种在双向链路中实现分布式放大的新技术。多个光信号在一根光纤上以双工方式传输。多通道仅使用链路两侧的两个光源产生。分布式放大是利用拉曼散射实现的,其中下行方向的数据调制信号也充当泵浦信号。为了获得最大的拉曼增益和最小化瑞利散射,下行和上行信号的中心频率之差保持在13thz。得到的误码率图显示接收器灵敏度值较低。
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引用次数: 0
Application of Data Warehouse and Data Mining in Landscape Research 数据仓库与数据挖掘在景观研究中的应用
Duan Ran, Chunyu Yang, S. Jiafu
The development of information technology has promoted the process of landscape architecture research. Data warehouse and data mining technology can solve the huge data storage and operation. And according to the analysis of data processing, solving the relationship between artificial lighting and plant biological rhythm in landscape lighting. The technical parameters of artificial lighting suitable for all kinds of plants are provided, which is beneficial to the scientific study of nightscape of garden plants.
信息技术的发展推动了风景园林研究的进程。数据仓库和数据挖掘技术可以解决海量数据的存储和操作问题。并根据数据处理分析,解决景观照明中人工照明与植物生物节律的关系。提出了适合各类植物的人工照明技术参数,有利于园林植物夜景的科学研究。
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引用次数: 0
Demographic Variables in Knowledge Sharing Behavior among IT Engineers in Taiwan 资讯科技工程师知识分享行为之人口统计变数研究
Chiang Hsing Tien
The purpose of this study was to investigate demographic variables in knowledge sharing. The study conducted a quantitative study, and the participants were IT engineers. Random sampling was used. The questionnaires were sent to 25 IT companies by mails. The cover of the questionnaire explained the purposes of the study. A self-addressed stamped envelope was enclosed. 250 copies of questionnaires were sent and 84 copies were returned. The response rate was 33.6%. The data was analyzed by the independent t-test and One-way ANOVA in IBM SPSS 22. The findings of the study show (1) knowledge sharing behavior differs in terms of education level, (2) knowledge sharing behavior has significant influence in terms of profession, and (3) knowledge sharing behavior does not have significant influence in gender, age group, position grade, job tenure, workplace, marital status, and number of children.
本研究的目的是探讨人口统计学变量对知识共享的影响。该研究进行了定量研究,参与者为IT工程师。采用随机抽样。调查问卷通过邮件发送给25家IT公司。问卷的封面解释了研究的目的。随信附上一个贴好邮票的回邮信封。调查问卷共发出250份,回收84份。回复率为33.6%。采用IBM SPSS 22进行独立t检验和单因素方差分析。研究结果表明:(1)知识共享行为在受教育程度上存在差异;(2)知识共享行为在专业上存在显著影响;(3)知识共享行为在性别、年龄、职位等级、任职年限、工作场所、婚姻状况、子女数量上不存在显著影响。
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引用次数: 0
Research on Ship Image Retrieval Based on BoVW Model under Hadoop Platform Hadoop 平台下基于 BoVW 模型的船舶图像检索研究
R. Hu, J. Yang, Bangpei Zhu, Zhiqiang Guo
Image data is one of the key data in the ship's navigation record. Ship scene reappearance depends on its efficient retrieval. Recently, the exponential growth of the number of images makes the traditional single-machine image retrieval method gradually show the problem of inefficiency. In this paper, the image retrieval method based on the Bag of Visual Words (BoVW) model under the Hadoop platform is proposed and the distributed image retrieval is realized. Firstly, this paper takes BoVW model as the research object. Based on the Hadoop platform, the construction method of traditional visual dictionary is improved and the word frequency vectors are weighted by Term Frequency-Inverse Document Frequency (TF-IDF). Then the inverted index is generated in parallel for image retrieval. Experimental results show this method doubled the efficiency of visual dictionary construction while maintaining the original retrieval results and effectively improved the efficiency of image retrieval.
图像数据是船舶航行记录中的关键数据之一。船舶场景再现依赖于船舶场景的高效检索。近年来,图像数量的指数增长使得传统的单机图像检索方法逐渐显示出效率低下的问题。本文提出了在Hadoop平台下基于BoVW (Bag of Visual Words)模型的图像检索方法,实现了分布式图像检索。首先,本文以BoVW模型为研究对象。基于Hadoop平台,改进了传统视觉词典的构建方法,采用术语频率-逆文档频率(TF-IDF)对词频向量进行加权。然后并行生成倒排索引用于图像检索。实验结果表明,该方法在保持原始检索结果的同时,将视觉词典构建效率提高了一倍,有效地提高了图像检索的效率。
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引用次数: 2
A Scalable Network Area Storage with Virtualization: Modelling and Evaluation using Stochastic Reward Nets 具有虚拟化的可扩展网络区域存储:使用随机奖励网建模和评估
Luyao Zou, Xuhua Rui, T. Nguyen, D. Min, Eunmi Choi, Tran Duc Thang, Nguyen Nhu Son
Modelling and analysis of storage system in data centers for availability prediction is of paramount importance. Many studies in literature proposed different architectures and techniques to enhance availability of the storage system. In this paper, we proposed to incorporate virtualization techniques on a network area storage. We used stochastic reward nets to model the system's architecture and operational scenarios. Furthermore, we investigated various measures of interests including steady state availability, downtime and downtime cost, and sensitivity of the system availability with respect to impacting parameters. The analysis results show that the proposed storage system with virtualization can obtain an acceptable level of service availability. Furthermore, the sensitivity analysis also points out complicated dependences of service availability upon system parameters. This paper presents a preliminary study to help guide the development of a scalable network area storage with virtualization in practice.
数据中心存储系统的建模与分析对可用性预测具有重要意义。许多文献研究提出了不同的架构和技术来提高存储系统的可用性。在本文中,我们提出了在网络区域存储中集成虚拟化技术。我们使用随机奖励网来模拟系统的架构和操作场景。此外,我们研究了各种感兴趣的措施,包括稳态可用性,停机时间和停机成本,以及系统可用性对影响参数的敏感性。分析结果表明,所提出的虚拟化存储系统能够获得可接受的服务可用性水平。此外,灵敏度分析还指出了服务可用性对系统参数的复杂依赖关系。本文提出了一个初步的研究,以帮助指导可扩展的网络区域存储与虚拟化在实践中的发展。
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引用次数: 0
Design and Implementation of Student Information Management System Based On Java 基于Java的学生信息管理系统的设计与实现
Zhou Xiaofang
In order to regulate the university student information management, improve work efficiency and quality management, using the popular Java technology, combining SQLServer2000 database, developed a platform independent student information management system. The system realizes the students and teachers of the relevant information to add, modify, delete and query functions, effectively improve the the quality of student information management.
为了规范高校学生信息管理,提高工作效率和管理质量,采用流行的Java技术,结合SQLServer2000数据库,开发了一个平台独立的学生信息管理系统。本系统实现了学生和教师对相关信息的添加、修改、删除和查询功能,有效地提高了学生信息管理的质量。
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引用次数: 2
Protocol Keywords Extraction Method Based on Frequent Item-Sets Mining 基于频繁项集挖掘的协议关键字提取方法
Gaochao Li, Q. Qian, Zhonghua Wang, Xin Zou, Xunxun Chen, Xiao Wu
Network application identification technology is widely used in the fields of network management, network optimization and intrusion detection and so on. And among the methods, the DPI (Deep Packet Inspection) is the most popular one with high accuracy relaying on a small amount of payload data. However, DPI depends on the effective protocol keywords. In order to cope with the speed of the applications updating, we proposed a protocol keywords extraction method for unencrypted network applications based on frequent itemsets mining. It contains two major steps: Firstly, we generate candidate words by using unsupervised methods and reduce the word set size with rules of words length and position. Then, we extract effective protocol keywords with frequent item-sets mining method and remove the noise words and redundant words by evaluating the candidate word co-occurrence relationship. The experiment result shows that our method shrinks the size of the keywords set and is better at extracting the real protocol keywords compared with Proword.
网络应用识别技术广泛应用于网络管理、网络优化和入侵检测等领域。其中,深度包检测(Deep Packet Inspection, DPI)是最受欢迎的一种检测方法,它依靠少量的有效载荷数据,具有较高的检测精度。然而,DPI依赖于有效的协议关键字。为了应对应用程序更新的速度,提出了一种基于频繁项集挖掘的非加密网络应用协议关键字提取方法。它包括两个主要步骤:首先,我们使用无监督方法生成候选词,并根据词的长度和位置规则减小词集的大小。然后,采用频繁项集挖掘方法提取有效的协议关键字,并通过评估候选词的共现关系去除噪声词和冗余词;实验结果表明,与Proword相比,我们的方法缩小了关键字集的大小,能够更好地提取真实的协议关键字。
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引用次数: 2
Using Hybrid Features of QR Code to Locate and Track in Augmented Reality 利用QR码的混合特征在增强现实中定位和跟踪
Caixia Zhang, Gang Bai
Augmented Reality (AR) is a technique which seamlessly integrate virtual 3D models into the image of the real scenario in real time. Using the QR code as the identification mark, an algorithm is proposed to extract the virtual straight line of QR code and to locate and track the camera based on the hybrid features, thus it avoids the possibility of failure when locating and tracking only by feature points. The experimental results show that the method of combining straight lines with feature points is better than that of using only straight lines or feature points. Further, an AR (Augmented Reality) system is developed.
增强现实技术(AR)是一种将虚拟三维模型实时无缝集成到真实场景图像中的技术。以QR码作为识别标记,提出了一种基于混合特征提取QR码虚拟直线并对摄像机进行定位和跟踪的算法,避免了仅通过特征点进行定位和跟踪失败的可能性。实验结果表明,直线与特征点相结合的方法比只使用直线或特征点的方法效果更好。进一步,开发了AR(增强现实)系统。
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引用次数: 0
Research on Evaluation System of Art Design for Modern Commercial Space 现代商业空间艺术设计评价体系研究
Qiao Jimin
The modern commercial space art design display techniques of various display forms are not oriented, dynamic display is popular in modern display form, it is different from the static display of the old, the use of movable type, interactive operation, etc., the audience can not only touch the exhibits, the exhibits and operation, specimen the model is it more important to be able to interact with the exhibits, let the audience more direct understanding of the functions and characteristics of products, from static to dynamic display, can mobilize visitors to actively participate in the activities of consciousness, make the display more rich and colorful, have a good effect. At present, dynamic display is widely used in large fixed exhibition spaces, such as exhibition halls and museums. The modern commercial space art design display techniques of various display forms are not oriented, dynamic display is popular in modern display form, it is different from the static display of the old, the use of movable type, interactive operation, etc., the audience can not only touch the exhibits, the exhibits and operation, specimen the model is it more important to be able to interact with the exhibits, let the audience more direct understanding of the functions and characteristics of products, from static to dynamic display, can mobilize visitors to actively participate in the activities of consciousness, make the display more rich and colorful, have a good effect. Art and design quality evaluation, evaluation standard is diverse, based on this, this paper gives a design evaluation system for modern commercial space, this paper defines the architecture and model for the system, the system can have good scalability, reusability and maintainability, provides convenience for future system upgrades and maintenance, for art design and evaluation of the final realization of a comprehensive network of the modern commercial space system.
现代商业空间艺术设计展示手法的各种展示形式是没有导向的,动态展示是现代流行的展示形式,它不同于老式的静态展示,采用了活字、互动操作等方式,观众不仅可以触摸展品,还可以对展品进行操作,标本模型更重要的是能够与展品进行互动。让观众更直接的了解产品的功能和特点,从静态到动态的展示,可以调动参观者积极参与活动的意识,使展示更加丰富多彩,具有良好的效果。目前,动态展示广泛应用于展厅、博物馆等大型固定展示空间。现代商业空间艺术设计展示手法的各种展示形式是没有导向的,动态展示是现代流行的展示形式,它不同于老式的静态展示,采用了活字、互动操作等方式,观众不仅可以触摸展品,还可以对展品进行操作,标本模型更重要的是能够与展品进行互动。让观众更直接的了解产品的功能和特点,从静态到动态的展示,可以调动参观者积极参与活动的意识,使展示更加丰富多彩,具有良好的效果。艺术设计质量评价、评价标准多种多样,在此基础上,本文给出了一个现代商业空间设计评价体系,本文为系统定义了体系结构和模型,该体系能够具有良好的可扩展性、可重用性和可维护性,为以后系统的升级和维护提供了便利,为艺术设计评价的最终实现现代商业空间系统的全面网络化提供了依据。
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引用次数: 0
Detecting Phone Theft Using Machine Learning 使用机器学习检测手机盗窃
Xinyu Liu, D. Wagner, Serge Egelman
Millions of smartphones are stolen in the United States every year, putting victims' personal information at risk since many users often do not lock their phones. To protect individuals' smartphones and the private data stored on them, we developed a system that automatically detects pickpocket and grab-and-run theft, in which a thief grabs the phone from a victim's hand then runs away. Our system applies machine learning to smartphone accelerometer data in order to detect possible theft incidents. Based on a field study and simulated theft scenarios, we are able to detect all thefts at a cost of 1 false alarm per week. Given that many smartphone users refuse to enable screen locking mechanisms over complaints that it takes too long to unlock their devices, our system could be used in conjunction with these systems in order to drastically decrease the number of times a user is asked to provide a lock code. That is, our system could be used to prompt smartphone users for PINs or passcodes only when theft events have been detected.
在美国,每年有数百万智能手机被盗,由于许多用户通常不锁手机,因此受害者的个人信息面临风险。为了保护个人的智能手机和存储在智能手机上的私人数据,我们开发了一个系统,可以自动检测扒手和抢跑盗窃,即小偷从受害者手中抢走手机然后逃跑。我们的系统将机器学习应用于智能手机加速度计数据,以检测可能的盗窃事件。根据实地研究和模拟盗窃场景,我们能够以每周1次误报的成本检测到所有盗窃。考虑到许多智能手机用户因为抱怨解锁时间太长而拒绝启用屏幕锁定机制,我们的系统可以与这些系统结合使用,以大幅减少用户被要求提供锁码的次数。也就是说,我们的系统只有在检测到盗窃事件时才会提示智能手机用户输入pin码或密码。
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引用次数: 6
期刊
Proceedings of the 1st International Conference on Information Science and Systems
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