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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
Verb Based Conceptual Common Sense Extraction 基于动词的概念常识提取
Ji Youlang, Yu Yang, Z. Hongying, Zhu Jun, Gu Jingjing, Hua Lingya
The knowledge in the knowledge bases such as Freebase, Knowledge Vault and so on are all facts which record the relationships between two entities. It may lead to following two problems. First, this form of knowledge limits the scale of the existing knowledge bases. When extracting new facts, no good patterns with a good ability of summarization can be used. Second, when applied in some real tasks, the knowledge may always suffer the problem of data sparsity. To solve these two problems, in this paper, we define the problem of extracting common senses in a concept level. We evaluate our solutions on Google N-Grams data set, and the results shows a great improvement.
Freebase、knowledge Vault等知识库中的知识都是记录两个实体之间关系的事实。这可能会导致以下两个问题。首先,这种形式的知识限制了现有知识库的规模。在提取新的事实时,不能使用具有良好总结能力的好的模式。其次,当应用于实际任务时,这些知识可能总是存在数据稀疏性的问题。为了解决这两个问题,本文在概念层面定义了常识抽取问题。我们在Google N-Grams数据集上对我们的解决方案进行了评估,结果显示出了很大的改进。
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引用次数: 1
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
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
Application of Big Data and Intelligent Processing Technology in Modern Chinese Multi-category Words Part of Speech Tagging Corpus 大数据与智能处理技术在现代汉语多类词词性标注语料库中的应用
Zhendong Song
The application of modern Chinese multi-category words corpus is very wide. With the development of the Internet, data from the corpus is getting bigger and bigger during collection. The data gradually develops so big that the current relational database is difficult to deal with them. This article analyzes the important role of the big data technology in corpu
现代汉语多类词语料库的应用十分广泛。随着互联网的发展,语料库中的数据在收集过程中变得越来越大。数据量越来越大,现有的关系数据库已难以处理。本文分析了大数据技术在语料库中的重要作用
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引用次数: 0
An Adaptive Scheduling Algorithm for Multi-Priority Traffic in Load-Balanced Switch 负载均衡交换机中多优先级流量的自适应调度算法
Ya Gao
In this paper, a hierarchical weighted round-robin scheduling (HWRR) algorithm is proposed in Load-Balanced two-stage switches. Following the change of traffic load, the proposed algorithm can adjust scheduling weights and allocate bandwidth flexibility. Intensive dispatching will be performed when heavy load is detected. It can reduce the packet drop probability and meet the requirements of different priority traffic. The simulation results show that HWRR achieves stable performance on delay and cell drop probability, and performs well under several types of traffic.
提出了一种负载均衡两级交换机的分级加权轮循调度算法。该算法可以根据业务负载的变化调整调度权值,实现带宽的灵活分配。当检测到大负荷时,将进行密集调度。它可以降低丢包概率,满足不同优先级流量的需求。仿真结果表明,HWRR在时延和小区丢包概率上都有稳定的性能,在多种流量下都表现良好。
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引用次数: 2
Signal Recovering Based on Fourier Analysis from Nonuniform Samples 基于傅立叶分析的非均匀样本信号恢复
Yukai Gao
This paper describes a new approach that can process nonuniformly sampled signals efficiently, in the sense the digital spectrum and signal recovering from nonuniformly sampled signal can be derived precisely. The results of research on estimation spectra of signals whose samples were taken at randomly distributed sampling instants are presented. The paper determines the conditions under which a discrete Fourier transformation spectrum estimator provides an unbiased approximation of the spectrum of the original continuous-time signal in an unlimited range of frequencies. In the research nonuniformly sampled signals is represented as the algebraic addition of impulse function. Based on the random theory, the expected value is obtained. The signal is recovered by the inverse Fourier transformation.
本文介绍了一种有效处理非均匀采样信号的新方法,可以精确地导出非均匀采样信号的数字频谱和恢复信号。给出了随机分布采样时刻信号估计谱的研究结果。本文确定了离散傅立叶变换谱估计器在无限频率范围内对原始连续时间信号的谱提供无偏逼近的条件。在研究中,非均匀采样信号被表示为脉冲函数的代数加法。根据随机理论,得到期望值。信号通过傅里叶反变换恢复。
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引用次数: 0
Improving RealSense by Fusing Color Stereo Vision and Infrared Stereo Vision for the Visually Impaired 通过融合彩色立体视觉和红外立体视觉来改善视障人士的真实感
Hao Chen, Kaiwei Wang, Kailun Yang
The introduction of RGB-D sensor has attracted attention from researchers majored in computer vision. With real-time depth measurement provided by RGB-D sensor, a better navigational assistance than traditional aiding tools can be offered for visually impaired people. However, nowadays RGB-D sensor usually has a limited detecting range, and fails in performing depth measurement on objects with special surfaces, such as absorbing, specular, and transparent surfaces. In this paper, a novel algorithm using two RealSense R200 simultaneously to build a short-baseline color stereo vision system is developed. This algorithm enhances depth estimation by fusing color stereo depth map and original RealSense depth map, which is obtained by infrared stereo vision. Moreover, the minimum range is decreased by up to 84.6%, from 650mm to 100mm. We anticipate out algorithm to provide better assistance for visually impaired individuals.
RGB-D传感器的引入引起了计算机视觉专业研究人员的关注。通过RGB-D传感器提供的实时深度测量,可以为视障人士提供比传统辅助工具更好的导航辅助。然而,目前RGB-D传感器的探测范围有限,无法对具有特殊表面的物体进行深度测量,如吸收面、镜面、透明面等。本文提出了一种利用两台RealSense R200同时构建短基线彩色立体视觉系统的新算法。该算法通过融合彩色立体深度图和红外立体视觉获得的原始RealSense深度图来增强深度估计。此外,最小范围减少了84.6%,从650mm到100mm。我们期望我们的算法能为视障人士提供更好的帮助。
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引用次数: 10
Application of Pornographic Images Recognition Based on Depth Learning 基于深度学习的色情图像识别应用
Ruolin Zhu, Xiaoyu Wu, Beibei Zhu, Li-hua Song
With the rapid development of the Internet, the images become the main medium of information dissemination, while the spread of pornographic images are getting more serious. Therefore, we propose a detection method of pornographic images based on a combination of global and local features. Considering the NPDI database's defective both in quality and quantity, so this paper constructs new database CUC_NSFW (Not Suitable for Work) applying data augmentation methods to improve the classification performance. Pornographic images with only exposed sensitive organs become the bottleneck of improving model recall ratio. We design a sensitive organs detection module, cascaded behind the residual network assisting the recognition of pornography images. And our method makes a good performance based on the research work of pornographic image detection
随着互联网的快速发展,图像成为信息传播的主要媒介,而色情图像的传播也日益严重。因此,我们提出了一种基于全局特征和局部特征相结合的色情图像检测方法。针对NPDI数据库在数量和质量上的缺陷,本文采用数据增强方法构建了新的数据库CUC_NSFW (Not Suitable for Work),以提高分类性能。仅暴露敏感器官的色情图像成为提高模型召回率的瓶颈。我们设计了一个敏感器官检测模块,级联在残差网络后面,帮助识别色情图像。通过对色情图像检测的研究,该方法取得了较好的效果
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引用次数: 7
'Pandora': A multi-encryption software “潘多拉”:一种多重加密软件
Jayson J. Cruz, R. D. Fernandez, Carlo M. Palicpic, Dominick L. Uyehara, Ronina C. Tayuan
Privacy and security have never been more important. The need for these things are on the rise considering that more and more reports of digital theft and massive unsolicited government surveillance are surfacing. The project, Pandora, is a solution created by the proponents to provide an encryption scheme that is a combination of the new and the old. Pandora is an integration of AES-256 and modified ciphers. You can use it to encrypt and decrypt files, just like typical AES encryption, but with the added complexity offered by the ciphers. The system is primarily developed using Java programming language using NetBeans IDE. The program will ask for a file input which will then be processed through multi-level encryption. Running parallel with this, the system will ask for a key which will be used for decryption. The final output will be a ".pxt file". All of these are presented to a user with a graphical user interface (GUI). Added security elements were also implemented to ensure the confidentiality of the files. The key is required to be between eight to thirty-two mixed alphanumeric characters which will then be processed through separate hashing algorithm. This scheme ensures that it would take at least 3 to 3.914349685892112e+43 years to brute force or to perform dictionary attack on the key.
隐私和安全从未像现在这样重要。考虑到越来越多关于数字盗窃和大规模未经请求的政府监控的报道浮出水面,对这些东西的需求正在上升。这个项目,潘多拉,是一个由支持者创建的解决方案,提供了一个新的和旧的结合的加密方案。潘多拉是AES-256和修改密码的集成。您可以使用它来加密和解密文件,就像典型的AES加密一样,但是密码提供了额外的复杂性。本系统主要采用Java编程语言和NetBeans IDE进行开发。该程序将要求文件输入,然后通过多级加密进行处理。与此同时,系统将请求用于解密的密钥。最后的输出将是一个。pxt文件”。所有这些都通过图形用户界面(GUI)呈现给用户。此外,还增加了保安措施,以确保文件的机密性。密钥需要在8到32个混合字母数字字符之间,然后通过单独的散列算法进行处理。该方案确保对密钥进行暴力破解或字典攻击至少需要3到3.914349685892112e+43年。
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引用次数: 0
期刊
Proceedings of the 1st International Conference on Information Science and Systems
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