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2020 International Conference on Communications, Information System and Computer Engineering (CISCE)最新文献

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O2O Integrated AI Precise Poverty Alleviation Plan O2O整合AI精准扶贫计划
Shih-Feng Chang, Hui Ding, Min-Qi Huang, Yong-Lin Tan, Jun-Jie Chen, Zhi-Tao Huang
Cultural poverty and educational poverty are closely related. Without education, it is difficult to establish culture. Without culture, education will not be valued. Only by promoting cultural poverty alleviation and educational poverty alleviation as a whole, can we form a joint force to eliminate poverty culture and improve ideological, moral, scientific and cultural level. Only through high-level cultural poverty alleviation and educational poverty alleviation, can we really play the "supporting aspiration" of culture and the function of "supporting intelligence" to provide intellectual and human support for poverty-stricken areas to achieve industrial shaping and economic transformation, so as to achieve complete poverty alleviation. Therefore, Wish Magic Box will contact relevant educational institutions to conduct lectures and provide relevant support services. For example, in terms of service lectures, it will provide services that people need to work and solve employment problems to provide education support for people with education needs in poor areas.
文化贫困与教育贫困是密切相关的。没有教育,就很难建立文化。没有文化,教育就不会受到重视。只有把文化扶贫和教育扶贫作为一个整体来推进,才能形成消除贫困文化、提高思想道德和科学文化水平的合力。只有通过高水平的文化扶贫和教育扶贫,才能真正发挥文化的“托志”和“托智”的功能,为贫困地区实现产业塑造和经济转型提供智力和人力支持,从而实现彻底脱贫。因此,Wish Magic Box将联系相关教育机构进行讲座并提供相关支持服务。比如在服务讲座方面,提供人们工作需要的服务,解决就业问题,为贫困地区有教育需求的人提供教育支持。
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引用次数: 3
Vehicle Brand Classification Method Based on PCA-NET Under Complex Background 复杂背景下基于PCA-NET的汽车品牌分类方法
Jianqiu Chen
At present, the classification of vehicle brands as an important unit in the urban intelligent transportation system has become a hot spot for researchers from various countries. The classification and recognition of videos and images have been effectively researched and applied. In order to achieve better classification effect and higher recognition efficiency, this paper uses Principal Component Analysis-Net (PCA-NET) to realize the classification of vehicle brand, and combined with Support Vector Machines (SVM) to achieve. From the experimental results, this method can effectively extract the vehicle front view and achieve classification. The classification accuracy is high, which can reach 93.2%. In addition, this method has flexible adaptability to complex background conditions.
目前,作为城市智能交通系统重要单元的车辆品牌分类已成为各国研究人员关注的热点。视频和图像的分类与识别得到了有效的研究和应用。为了达到更好的分类效果和更高的识别效率,本文采用主成分分析网络(PCA-NET)来实现汽车品牌的分类,并结合支持向量机(SVM)来实现。从实验结果来看,该方法可以有效地提取车辆前视图并实现分类。分类准确率高,可达93.2%。此外,该方法对复杂的背景条件具有灵活的适应性。
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引用次数: 1
Data Visualization and Its Implementation of Civil Service Jobs Based on Python 基于Python的公务员岗位数据可视化及其实现
Dawei Xiang, Danli Lei, Yanbo Wu
While civil servants’ welfare is improved, more and more people apply for civil service jobs. However, selecting the position at the time of application is a major difficulty for candidates. By crawling the online data of application for the national civil service entrance examination in recent years, this article uses Python to process and save data, as well as screen and visualize the number of qualifiers, the competition ratio, the recruiting posts, etc. The results of the analysis provide an intuitive reference for candidates when selecting posts.
随着公务员福利的提高,越来越多的人申请公务员工作。然而,在申请时选择职位是候选人的主要困难。本文通过抓取近年来的国家公务员入学考试网上报名数据,使用Python对数据进行处理和保存,并对报考人数、竞争比、招聘岗位等进行筛选和可视化。分析结果为候选人选择岗位提供了直观的参考。
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引用次数: 0
Research on service path configuration method based on shamir algorithm 基于shamir算法的服务路径配置方法研究
Gao Ming, Ying Lili
A service path configuration method on shamir algorithm is advanced. The data path information is distributed and verified to do the test and verify the service chain deployment through the packet in message of Openflow. First, the path verification identification is generated according to the polynomial shamir sharing algorithm. And then with the distrihution of service chain deployment, the controller distributes the control verification flow table. When the service traffic passes through the configuration switch, the path verification message will be uploaded, and the controller will carry out the verification and decision judgment. Finally, the experiment shows the correctness and security of the method.
提出了一种基于shamir算法的服务路径配置方法。对数据路径信息进行分发和验证,通过Openflow的消息包对业务链部署进行测试和验证。首先,根据多项式shamir共享算法生成路径验证识别;然后随着业务链的分布部署,控制器分发控制验证流表。当业务流量通过配置交换机时,上传路径验证消息,控制器进行验证和决策判断。最后,通过实验验证了该方法的正确性和安全性。
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引用次数: 0
Support Vector Machine Based Diagnosis of Breast Cancer 基于支持向量机的乳腺癌诊断
Mingqi Chen, Yinshan Jia
In recent years, the incidence of breast cancer is constantly increasing, for the current medical incurable advanced breast cancer, early accurate diagnosis is the most important to save the lives of patients. In this paper, support vector machine (SVM) is applied to the diagnosis of breast cancer, and the performance of four commonly used kernel functions in different data sets is explored. The experimental results show that the classification accuracy of this method in the breast cancer data set is 98.25%. Compared with the original research using SVM algorithm, this method has a better effect in the auxiliary diagnosis of breast cancer and can help patients and medical institutions to detect the disease more quickly and effectively.
近年来,乳腺癌的发病率在不断增加,对于目前医学上无法治愈的晚期乳腺癌,早期准确的诊断是挽救患者生命最重要的。本文将支持向量机(SVM)应用于乳腺癌的诊断,探讨了四种常用核函数在不同数据集上的性能。实验结果表明,该方法在乳腺癌数据集上的分类准确率为98.25%。与原来使用SVM算法的研究相比,该方法在乳腺癌的辅助诊断中具有更好的效果,可以帮助患者和医疗机构更快速有效地发现疾病。
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引用次数: 2
Design of Network Information Service Platform for Intelligent Agricultural Industry Chain 智能农业产业链网络信息服务平台设计
K. Shi
With the continuous development of agriculture under the background of "Internet +", the original agricultural information service platforms need to be upgraded. According to the latest advances in intelligent agriculture, the design idea of network information service platform based on industry chain is put forward. The platform is positioned to the function of industry chain information link and multi-subject information exchange. A three-tier architecture is adopted in the platform, and the front-end is constructed by Angular, PWA and other technologies while the back-end is constructed by node. Js, Koa2 and other technologies, and many kinds of information service functions are designed in detail. This design idea provides help for the construction of other intelligent agricultural network information service platforms.
随着“互联网+”背景下农业的不断发展,原有的农业信息服务平台需要进行升级。根据智能农业的最新进展,提出了基于产业链的网络信息服务平台的设计思路。平台定位于产业链信息链接和多主体信息交流的功能。平台采用三层架构,前端由Angular、PWA等技术构建,后端由node构建。Js、Koa2等技术,详细设计了多种信息服务功能。该设计思路为其他智能农业网络信息服务平台的建设提供了帮助。
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引用次数: 2
A Decentralized User Authentication Model Based on Activity Proof : Use the new user identity credential: activity map 一种基于活动证明的去中心化用户认证模型:使用新的用户身份凭证:活动图
Wu Jing
Currently, people need to use a large number of accounts and password, this has already become a problem which can be called "sea of accounts and passwords". This problem has a lot of negative effects. This paper presents a new kind of user identity credential, i.e. user activity map. On this basis, a decentralized user identity authentication model based on activity proof is proposed. Based on the blockchain idea, the model is built by Authentication Chain. The Authentication Chain is composed of Activity Chain and Activity Proofer Chain. This model does not need a central system, but can use the user’s activity map as the identity credential, and verify the user’s identity with the supporting results of activity map through multiple systems. This paper introduces the prototype verification of the model, and discusses the security and feasibility of the model.
目前,人们需要使用大量的账号和密码,这已经成为一个可以称之为“账号和密码海洋”的问题。这个问题有很多负面影响。提出了一种新的用户身份凭证,即用户活动图。在此基础上,提出了一种基于活动证明的去中心化用户身份认证模型。基于区块链思想,通过认证链构建模型。认证链由活动链和活动证明链组成。该模型不需要中央系统,而是可以使用用户的活动图作为身份凭证,并通过多个系统通过活动图的支持结果验证用户的身份。本文介绍了该模型的原型验证,并讨论了该模型的安全性和可行性。
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引用次数: 2
The Impact of ICT Advances on Education: A Case Study 信息通信技术进步对教育的影响:一个案例研究
Chao Duan, Dongpo Guo, Jerry Xie, Jing Zhang
ICT advances in the pace of Moore’s law as well as Gilder’s Law. The introduction of ICT into education has resulted astounding effects in learning. This paper presents a case study of the establishment of National Engineering Research Center for E-learning, as part of education informationized effort in China. There are four stages of China’s integration of ICT with education: start-up phase, application phase, integration phase, and innovation phase. The four phases are well in line with the ICT evolutions from standalone computer, to all IP network, to all cloud infrastructure, and to today’s all AI, which utilizes full spectrum of ICT including emerging technology advances in big data and artificial intelligence. The role of ICT in education has gone far beyond as an assisting tool in learning; it led to reconsider the traditional classroom centric teaching architecturally, as well as represented a paradigm shift in education including the roles of classroom teaching, the way of learning, the learning period systematically. Interactive and exploratory learning have become the mantra and education as a service is inevitable. At the same time, like any other technologies, ICT used in education can backfire if not carefully planned. This paper proposes a systematical engineering approach that integrates multiple tooling and activities around the learning of a particular subject with the purpose that engages learners through an intuitive, game-like environment where students learn through exploration and discovery.
ICT的发展速度与摩尔定律和吉尔德定律一样快。将信息通信技术引入教育,对学习产生了惊人的影响。作为中国教育信息化的一部分,本文介绍了建立国家电子学习工程研究中心的案例研究。中国ICT与教育的融合经历了四个阶段:启动阶段、应用阶段、融合阶段和创新阶段。这四个阶段与ICT从单机到全IP网络,再到全云基础设施,再到今天的全人工智能的演变非常吻合,全人工智能充分利用了包括大数据和人工智能在内的新兴技术进步。信息和通信技术在教育中的作用远远超出了作为辅助学习工具的作用;它从建筑上对传统的以课堂为中心的教学进行了重新思考,代表了一种教育范式的转变,包括课堂教学的角色、学习方式、学习周期等。互动性和探索性学习已经成为人们的口头禅,教育即服务是不可避免的。与此同时,像任何其他技术一样,如果不仔细规划,在教育中使用信息通信技术可能会适得其反。本文提出了一种系统工程方法,该方法集成了围绕特定主题学习的多种工具和活动,目的是通过直观的,游戏式的环境吸引学习者,学生通过探索和发现来学习。
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引用次数: 1
Research Status and Prospects of Deep Learning in Medical Images 医学图像深度学习的研究现状与展望
Chao Liang, Shaojie Xin
With the continuous innovation and development of artificial intelligence, the theoretical research on and application of deep learning, one of its branches, has also reached a certain height, and has become a research hotspot in all walks of life. In the medical field, traditional manual image reading and other medical image analysis methods have been unable to adapt to the sharp increase in the amount of impact data. Based on this, the combination of deep learning and medical imaging has eased this pressure. This article first briefly analyzes the relevant theories of deep learning, and focuses on its applications in medical image classification and recognition, medical image segmentation, and computer-aided diagnosis. Finally, the application of deep learning in medical images is prospected.
随着人工智能的不断创新和发展,其分支之一的深度学习的理论研究和应用也达到了一定的高度,成为各行各业的研究热点。在医学领域,传统的人工图像读取等医学图像分析方法已经无法适应冲击数据量的急剧增加。基于此,深度学习和医学成像的结合缓解了这一压力。本文首先简要分析了深度学习的相关理论,重点介绍了深度学习在医学图像分类与识别、医学图像分割、计算机辅助诊断等方面的应用。最后,对深度学习在医学图像中的应用进行了展望。
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引用次数: 5
Design and Implementation of Multi-tenant Vehicle Monitoring Architecture Based on Microservices and Spark Streaming 基于微服务和Spark Streaming的多租户车辆监控架构设计与实现
Chen Chen, Jianjun Cai, N. Ren, Xu Cheng
Aiming at reducing the costs for customers and making full use of software and hardware resources, this article propose a vehicle monitoring cloud architecture for multi-tenant in this paper which could provide customers with rent-and-use cloud services. This architecture is based on the springcloud microservice framework, any microservice module could be packaged into docker images and managed by kubernetes. When the system concurrency increases or decreases, the container can be dynamically expanded and recycled to rationally allocate hardware resources to solve the bottleneck of service access load. This architecture also recommends kafka message queues to decouple front-end data collection components and back-end data processing components that could achieve greater throughput. The MapReduce programming model is used to group chaotic data sent by all tenants’ vehicle terminal by tenant id, and statistical analysis is performed on the data of each tenant.
为了降低客户成本,充分利用软硬件资源,本文提出了一种多租户车辆监控云架构,为客户提供租赁使用的云服务。该架构基于springcloud微服务框架,任何微服务模块都可以打包成docker镜像并由kubernetes管理。当系统并发增加或减少时,可以动态扩展和回收容器,合理分配硬件资源,解决业务访问负载瓶颈。该架构还推荐kafka消息队列来解耦前端数据收集组件和后端数据处理组件,从而实现更高的吞吐量。使用MapReduce编程模型,将所有租户车载终端发送的混沌数据按租户id进行分组,并对每个租户的数据进行统计分析。
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引用次数: 1
期刊
2020 International Conference on Communications, Information System and Computer Engineering (CISCE)
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