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2022 11th International Conference of Information and Communication Technology (ICTech))最新文献

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Industrial Control Network Security Situation Assessment Based on SAE-RBF 基于SAE-RBF的工业控制网络安全态势评估
Pub Date : 2022-02-01 DOI: 10.1109/ICTech55460.2022.00016
Xinzhuang Li, Hanjun Wang
With the in-depth development of “two integration”, industrial control network security situation is more and more serious, industrial control network security protection work is more and more important. Aiming at the characteristics of sparse and complex dimensions of industrial control network security data, combining with the conceptual model of network security situation awareness, this paper proposes a network security situation assessment method, which uses stack self-encoder to process sparse data and uses radial basis neural network to fit complex nonlinear characteristics. It effectively extracts the data features, realizes the analysis and understanding of the data, and completes the security situation assessment, which provides a new method for the security situation assessment of the industrial control network.
随着“两化融合”的深入发展,工控网络安全形势越来越严峻,工控网络安全防护工作越来越重要。针对工控网络安全数据稀疏、维数复杂的特点,结合网络安全态势感知的概念模型,提出了一种利用堆栈自编码器对稀疏数据进行处理,利用径向基神经网络拟合复杂非线性特征的网络安全态势评估方法。有效提取数据特征,实现对数据的分析和理解,完成安全态势评估,为工控网络安全态势评估提供了一种新的方法。
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引用次数: 1
Preface: ICTech 2022
Pub Date : 2022-02-01 DOI: 10.1109/ictech55460.2022.00005
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引用次数: 0
Digital Twin Model Construction and Management Method of Workshop Based on Cloud Platform 基于云平台的车间数字孪生模型构建及管理方法
Pub Date : 2022-02-01 DOI: 10.1109/ICTech55460.2022.00013
Hongliang Wang, Guoliang Jin
Production workshop is the main activity carrier engaged in production and manufacturing. Digital twin technology is an effective way to integrate and interconnect the physical world and the information world. Cloud platform is a service based on hardware resources and software resources, which provides more computing power and storage capacity and adds more possibilities to the information world. Under the background of industrial Internet, Made in China 2025, advanced Manufacturing Partnership program and other strategies, digital twin workshop is becoming an important means to cooperate with physical workshop. The cloud platform provides more computing and storage resources, making it possible to create and manage large, complex and diverse digital twin systems in a fast, simple and scalable manner. Therefore, this paper proposes a digital twin workshop architecture based on cloud platform.
生产车间是从事生产制造的主要活动载体。数字孪生技术是实现物理世界与信息世界融合和互联的有效途径。云平台是一种基于硬件资源和软件资源的服务,它提供了更多的计算能力和存储能力,为信息世界增添了更多的可能性。在工业互联网、中国制造2025、先进制造伙伴计划等战略背景下,数字孪生车间正在成为与实体车间合作的重要手段。云平台提供了更多的计算和存储资源,可以快速、简单、可扩展地创建和管理大型、复杂和多样化的数字孪生系统。为此,本文提出了一种基于云平台的数字孪生车间架构。
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引用次数: 0
Research on Inspection, Identification and Reinforcement Design of Building Structure Based on PKPM Software 基于PKPM软件的建筑结构检测、识别与加固设计研究
Pub Date : 2022-02-01 DOI: 10.1109/ICTech55460.2022.00044
Shuwei Xia
In order to better strengthen the building, solve the defects existing in its structure, the need to analyze the whole building, and the structure of the test. Based on PKPM software, the overall reinforcement scheme is analyzed and the optimal scheme is selected. Based on the seismic data of Satwe designed buildings, the feasibility of the reinforcement scheme is analyzed, and the overall seismic resistance meets the design requirements of buildings, which lays a foundation for future building reinforcement.
为了更好的对建筑进行加固,解决其结构中存在的缺陷,需要对整个建筑进行分析,并对结构进行测试。基于PKPM软件,对整体加固方案进行分析,选择最优方案。根据Satwe设计建筑的地震资料,分析了加固方案的可行性,总体抗震性能满足建筑的设计要求,为今后的建筑加固奠定了基础。
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引用次数: 1
Stack Workpieces Recognition Model Based on Deep Learning 基于深度学习的堆叠工件识别模型
Pub Date : 2022-02-01 DOI: 10.1109/ICTech55460.2022.00049
Weiguang Han, Xuesong Han
The detection and recognition of stacked workpieces is affected by workpiece occlusion and workpiece overlap, which leads to the problem of difficult detection of workpiece types. This paper proposes a detection method based on the improved Faster R-CNN model, improves the Faster R-CNN feature network, and selects ResNet combined with SENet for feature extraction, which improves the important feature layer and suppresses the non-important feature layer. Introduce the Soft-NMS algorithm to optimize the NMS algorithm to reduce the problem of missed detection and false detection of overlapping or adjacent targets. The test results show that compared with the unimproved Faster R-CNN model, the improved Faster R-CNN model outperforms the traditional algorithm in terms of accuracy, precision, recall and F1 value.
堆积工件的检测和识别受工件遮挡和工件重叠的影响,导致工件类型检测困难的问题。本文提出了一种基于改进Faster R-CNN模型的检测方法,改进Faster R-CNN特征网络,选择ResNet结合SENet进行特征提取,提高了重要特征层,抑制了非重要特征层。引入Soft-NMS算法,对NMS算法进行优化,减少重叠或相邻目标的漏检和误检问题。测试结果表明,与未改进的Faster R-CNN模型相比,改进后的Faster R-CNN模型在准确率、精密度、召回率和F1值等方面都优于传统算法。
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引用次数: 1
Design of Night Heart Rate Breathing System Based on ARM 基于ARM的夜间心率呼吸系统设计
Pub Date : 2022-02-01 DOI: 10.1109/ICTech55460.2022.00114
Yihuan Su, Jiang Ming, Fang Li, Zhixiang Ao
In recent years, with the progress of electronic information technology, great changes have taken place in many aspects in the medical field, and medical electronics has attracted more and more attention and favor of the people. Especially under the complex background of the gradual improvement of China's national income and the increasing degree of population aging, the space of medical electronic market is broader. Among them, digitization, portability, household use and cheapness have become the hot spots of electronic demand. In addition to the characteristics of accuracy and portability, the price has also become the reference point for consumers to buy. However, the functional structure of medical electronic products in China can not completely meet the needs of these markets. Therefore, how to develop a low-power, portable, high security and low-cost electronic product is worth thinking by the majority of scientific researchers. Based on this, the system designs a night heart rate breathing system based on arm. The system can protect the life safety of users in time, and integrates the characteristics of low power consumption and low cost of arm, so it has broad application prospects.
近年来,随着电子信息技术的进步,医疗领域的许多方面都发生了巨大的变化,医疗电子越来越受到人们的关注和青睐。特别是在中国国民收入逐步提高、人口老龄化程度日益加剧的复杂背景下,医疗电子市场空间更加广阔。其中,数字化、便携、家用、廉价成为电子需求的热点。除了精准、便携的特点外,价格也成为消费者选购时的参考点。然而,国内医疗电子产品的功能结构还不能完全满足这些市场的需求。因此,如何开发出低功耗、便携、高安全性、低成本的电子产品是值得广大科研人员思考的问题。在此基础上,系统设计了一种基于手臂的夜间心率呼吸系统。该系统能够及时保护用户的生命安全,并且集低功耗、低臂成本等特点于一体,具有广阔的应用前景。
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引用次数: 0
Intelligent Garbage Classification Mechanism Based on Image Recognition 基于图像识别的智能垃圾分类机制
Pub Date : 2022-02-01 DOI: 10.1109/ICTech55460.2022.00102
Miaoyun Feng, Juanjuan Li, Junyue He, Zeyu Feng, Yuhan Liu, Haochuan Li, Yuwei Zhou, Hao Wang
In order to assist residents in garbage classification in public places, a user-friendly intelligent garbage classification mechanism based on image recognition, which can identify the type of garbage by itself, was invented after being designed and tested for many times. Functions and devices like full-load detection, sterilization, temperature monitoring, touchable display, universal wheel with brake were added. Stepping on the pedal to wake up it can effectively reduce the power consumption and the burden of main control module. Double slide rails can reduce the resistance of spinning delivery container so as to insure the stability of running steering engine. Homemade core board matched with flat cable guarantees the security of the circuit. The combination of standard parts and 3D printing allows the mechanism to be modularly loaded or unloaded, making it easier to maintain. Finally, we managed to realize the practical application of intelligent garbage classification mechanism, with the recognition accuracy reaching 98.67%.
为了帮助居民在公共场所进行垃圾分类,经过多次设计和测试,发明了一种基于图像识别的用户友好型智能垃圾分类机制,该机制可以自动识别垃圾的种类。增加了满负荷检测、灭菌、温度监测、触摸屏显示、带制动万向轮等功能和装置。通过踩踏板唤醒,可以有效降低功耗和主控模块的负担。采用双滑轨,可减小输送容器旋转阻力,保证舵机运行的稳定性。自制芯板,配扁平电缆,保证电路的安全。标准部件和3D打印的结合使该机构可以模块化地加载或卸载,使其更易于维护。最终实现了智能垃圾分类机制的实际应用,识别准确率达到98.67%。
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引用次数: 0
Research and Application of Semi-Supervised Entity Recognition Method in The Field of Technology Policy 半监督实体识别方法在技术政策领域的研究与应用
Pub Date : 2022-02-01 DOI: 10.1109/ICTech55460.2022.00093
Bihui Yu, Xiangxiang Zhang
In the field of technology policy, a large number of technology policies are released every day, and scientific researchers need to always pay attention to a great number of technology policy information on different websites, and it is arduous to find crucial policy information from them. Using named entity recognition technology to convert a great number of unstructured text information in technology policy fields into structured information can help scientific researchers obtain crucial policy information. Compared with named entity recognition in the general field, the main challenge of entity recognition in the professional field is that there is less data in the professional field with annotations. In order to reduce the resource overhead of annotated data, a semi-supervised learning method for named entity recognition is produced. The advantage of the semi-supervised learning training model is that it can use the text data with label information and the text data without label information to train the recognition model, and improve the generalization ability of the named entity recognition model. This paper innovatively proposes a dynamic adversarial training method DAT (Dynamic Adversarial Training) that dynamically adjusts the loss weights of supervised data and unsupervised data, and applies it to semi-supervised entity recognition tasks, and proposes the DAT-Bert-CRF model. Effectively solve the problem of semi-supervised entity recognition. The result of our experiment show that compared with other semi-supervised entity recognition methods, the performance of our model in this paper is better.
在技术政策领域,每天都有大量的技术政策发布,科研人员需要时刻关注不同网站上的大量技术政策信息,从中寻找关键的政策信息是一项艰巨的任务。利用命名实体识别技术将技术政策领域中大量的非结构化文本信息转换为结构化信息,可以帮助科研人员获取关键的政策信息。与一般领域的命名实体识别相比,专业领域实体识别面临的主要挑战是专业领域中带有标注的数据较少。为了减少标注数据的资源开销,提出了一种半监督学习的命名实体识别方法。半监督学习训练模型的优点是可以使用带标签信息的文本数据和不带标签信息的文本数据来训练识别模型,提高命名实体识别模型的泛化能力。本文创新性地提出了一种动态调整有监督数据和无监督数据损失权值的动态对抗训练方法DAT (dynamic adversarial training),并将其应用于半监督实体识别任务,提出了DAT- bert - crf模型。有效地解决了半监督实体识别问题。实验结果表明,与其他半监督实体识别方法相比,本文模型的性能更好。
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引用次数: 0
The design and development of university teaching management information system based on Asp.Net 基于Asp的高校教学管理信息系统的设计与开发。网
Pub Date : 2022-02-01 DOI: 10.1109/ICTech55460.2022.00080
Xiang Liu
The rapid development of information technology to promote economic production and life style of a new change, and accelerate the speed of urban construction innovation. Building electronic government as public administrative reform under the new era and evaluate the important symbol of the levels of national urban competition, in the current social environment, information technology has been a national office daily office affairs, one of the biggest factors affect whether email or file sharing and so on all the authority unit of file management has brought the profound influence. Information publishing technology also has a unique application role in archives management. Therefore, based on the understanding of the application characteristics of the information construction project of the comprehensive archives room, this paper designs and implements the dynamic information release system with Briwser/Server structure as the core under the NET framework, which is mainly used to optimize the operation of file submission, system management and permission browsing. Combined with B/S distributed structure, the functions of file submission and online filing are optimized. At the same time, this paper summarizes the system after scientific adjustment, to meet the requirements of other e-commerce information release management.
信息技术的快速发展促进了经济生产和生活方式的新变革,加快了城市建设创新的速度。电子政务建设作为新时代下公共行政改革和评价国家城市竞争水平的重要标志,在当前的社会环境下,信息技术已经成为国家机关日常办公事务的最大影响因素之一,无论是电子邮件还是文件共享等,都对所有权力单位的文件管理带来了深远的影响。信息出版技术在档案管理中也具有独特的应用作用。因此,本文在了解综合档案室信息化建设项目应用特点的基础上,在。NET框架下,设计并实现了以browser /Server结构为核心的动态信息发布系统,主要用于优化文件提交、系统管理和权限浏览等操作。结合B/S分布式结构,优化了文件提交和在线归档功能。同时,本文总结了系统经过科学调整后,能够满足其他电子商务信息发布管理的要求。
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引用次数: 0
Intelligent Drug Delivery Car System Using STM32 基于STM32的智能给药车系统
Pub Date : 2022-02-01 DOI: 10.1109/ICTech55460.2022.00115
Qianyi Zhou, Jiaxing Hu, Yunyi Xu
This system consists of STM32F407 single chip microcomputer, STM32F103 single chip microcomputer, openmv vision module and k210 vision module are composed. Taking stm32f407 single chip microcomputer as the control core, combined with STM32F103 single chip microcomputer, openmv and k210, the device is designed to be used for drug transportation in wards and isolation wards with large workload in the hospital. The device uses openmv to identify the red solid line on the transportation ground of the hospital, Through the dynamic priority scheduling algorithm in PD algorithm, the priority of tasks is dynamically allocated according to the resource requirements of tasks, so as to have greater flexibility in resource allocation and scheduling, realize flexible tracking function and dynamic adjustment process, and make the car drive along the red. K210 visual module is used to reflect the appearance difference through the given training photos, which is as same as the identification number as possible, which is convenient to improve the identification rate. After more identification times, the identification number and its position information can be accurately identified, and the identified number and its position information can be transmitted to stm32f407 single chip microcomputer through serial port communication (considering the need to identify four numbers at the same time, two k210 are installed on the front of each vehicle), stm32f407 single chip microcomputer processes the identification information of k210 and tells STM32F103 single chip microcomputer the movement state of the car at this time through serial port communication. Finally, STM32F103 single chip microcomputer controls the car to move accordingly. The data interaction method of the two cars adopts wireless communication. The system has the advantages of short recognition time, digital recognition accuracy of up to 90% and good stability. It can better complete the drug delivery work required by hospital medical staff, and the work efficiency is higher than manual work. At the same time, the machine itself can also cut off the direct contact between medical staff and patients, which can greatly reduce the number of contact between medical staff and patients, Reduce the prevalence of cross infection and medical staff. The device adopts a multi-level priority scheduling algorithm to assign a priority to each process. During each process scheduling, the scheduler always schedules the task with the highest priority to execute, so as to make the car movement more flexible and more active. It is convenient to deal with some emergencies by using interrupts, which is more reasonable and suitable for real hospital medical work.
本系统由STM32F407单片机、STM32F103单片机、openmv视觉模块和k210视觉模块组成。本装置以stm32f407单片机为控制核心,结合STM32F103单片机、openmv和k210,设计用于医院病房和隔离病房工作量较大的药品输送。该装置采用openmv识别医院运输地面上的红色实线,通过PD算法中的动态优先级调度算法,根据任务的资源需求动态分配任务的优先级,从而在资源分配和调度上具有更大的灵活性,实现灵活的跟踪功能和动态调整过程,使小车沿红色行驶。使用K210视觉模块,通过给定的训练照片反映外观差异,尽可能与识别号一致,方便提高识别率。经过多次识别后,可以准确识别出识别号码及其位置信息,并通过串口通信将识别的号码及其位置信息传输到stm32f407单片机(考虑到需要同时识别4个号码,每辆车前方安装2台k210),stm32f407单片机对k210的识别信息进行处理,并通过串口通信告诉STM32F103单片机此时汽车的运动状态。最后由STM32F103单片机控制小车进行相应的运动。两车的数据交互方式采用无线通信。该系统具有识别时间短、数字识别精度可达90%以上、稳定性好等优点。能较好地完成医院医务人员所需的给药工作,工作效率高于人工。同时,机器本身还可以切断医护人员与患者之间的直接接触,可以大大减少医护人员与患者之间的接触次数,减少与医护人员交叉感染的流行。设备采用多级优先级调度算法,为每个进程分配优先级。在每次调度过程中,调度程序总是调度优先级最高的任务执行,从而使汽车运动更灵活、更活跃。利用中断处理一些突发事件比较方便,比较合理,适合真正的医院医疗工作。
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引用次数: 0
期刊
2022 11th International Conference of Information and Communication Technology (ICTech))
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