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Research on the Application of RFID Technology in Medical Smart Manufacturing RFID技术在医疗智能制造中的应用研究
Zhiwen Xiong, Qiukun Li, Ziling Feng, Sini Tan
Nowadays, China's information technology is constantly developing and healthcare smart manufacturing is being rapidly promoted in China. This paper focuses on the development and application of RFID systems and briefly describes the basic theory of RFID. At the same time, this paper presents a systematic study of the current situation of RFID technology in healthcare smart manufacturing and proposes an architecture for RFID TECHNOLOGY in healthcare smart manufacturing. Based on this, this paper presents the future directions and implementation methods of RFID TECHNOLOGY in healthcare smart manufacturing in terms of basic development aspects, development limitations and future development. This is the concept, the solution and the selection of relevant technologies and research methods to realise the interactive sharing of medical information.
如今,中国信息技术不断发展,医疗智能制造在中国迅速推广。本文重点介绍了RFID系统的发展和应用,并简要介绍了RFID的基本理论。同时,系统研究了RFID技术在医疗智能制造中的应用现状,提出了RFID技术在医疗智能制造中的体系结构。在此基础上,本文从RFID技术在医疗智能制造中的基本发展方面、发展局限和未来发展等方面,提出了RFID技术在医疗智能制造中的未来发展方向和实现方法。这就是实现医疗信息交互共享的理念、解决方案以及相关技术和研究方法的选择。
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引用次数: 0
Different Paths to Servitization Success: Evidence from Listed Manufacturing Firms in China 服务化成功的不同路径:来自中国制造业上市公司的证据
Junheng Zhan, Ziyan Zhang, Shunhu Zhang
The causality of servitization success remains debatable, this study's primary objective is to explore whether, how, and when the dynamic capabilities affect servitization under digital economy background. This study also incorporated institutional theory, firm lifecycle theory, and environmental uncertainty as the contingency factors in the research framework. The fuzzy set qualitative comparative analysis (fsQCA) is applied based on the data from 148 China-listed manufacturing firms that involved servitization from 2015 to 2020. The configurational solutions drawn by fsQCA indicate each factor could be an enabler for servitization success, despite none of one factor as the necessary condition.
服务化成功的因果关系仍然存在争议,本研究的主要目的是探讨数字经济背景下动态能力是否、如何以及何时影响服务化。本研究还将制度理论、企业生命周期理论和环境不确定性作为权变因素纳入研究框架。基于2015 - 2020年148家涉及服务化的中国制造业上市公司的数据,采用模糊集定性比较分析法(fsQCA)进行分析。fsQCA绘制的配置解决方案表明,尽管没有一个因素是必要条件,但每个因素都可能是服务化成功的促成因素。
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引用次数: 0
Infrared and Visible Image Fusion based on Log-domain Decomposition and Information Interaction 基于对数域分解和信息交互的红外与可见光图像融合
Erfang Fei, Zhiqiang Zhou, Rao Yang, Lingjuan Miao
In order to better preserve the salient targets and detail information of the infrared and visible images, a novel image fusion method based on log-domain decomposition and information interaction is proposed in this paper. Specifically, the infrared and visible images are first transformed into the logarithmic domain for a two-scale decomposition, which helps to extract more high-contrast information compared to decomposing them directly in image space. A visual saliency strategy is then used to fuse the base layer images. As to detail layers, a combined local visual saliency and detail preservation strategy is proposed to determine the final fusion weights. In addition, it is worth noting that the visible image information is introduced into the infrared detail layer before fusion, which achieves the information complementation and interaction of two source images. The experiment results demonstrate that the proposed method outperforms other fusion methods in both qualitative and quantitative assessments.
为了更好地保留红外和可见光图像的显著目标和细节信息,本文提出了一种基于对数域分解和信息交互的图像融合方法。具体而言,首先将红外和可见光图像转换到对数域进行双尺度分解,与直接在图像空间中分解相比,这有助于提取更多的高对比度信息。然后使用视觉显著性策略融合基础层图像。对于细节层,提出了局部视觉显著性和细节保留相结合的策略来确定最终的融合权值。此外,值得注意的是,在融合前将可见光图像信息引入红外细节层,实现了两源图像的信息互补和交互。实验结果表明,该方法在定性和定量评价方面都优于其他融合方法。
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引用次数: 0
Research on High Performance Domestic Chip Architecture Based on Digital Grid Edge Computing 基于数字网格边缘计算的高性能国产芯片架构研究
Jinlong Liu, Junjian Chen, Dehong Liu, Liang Hu, Jun Li, Gang Chen, Jun Li, Ke Tang
The edge side of digital power grid needs to meet fast and real-time data processing, while the existing domestic chips have problems of insufficient processing capacity and high design complexity, so it is urgent to study the domestic chip architecture for the direction of digital power grid edge computing. In this paper, the business scenarios on the edge of digital power grid are analyzed in depth, and the rational layout of heterogeneous computing hardware resources such as CPU, NPU and ASIP is realized by means of hardware and software division according to different requirements. Secondly, based on domestic independent CPU core, a heterogeneous hybrid multi-core architecture that meets real-time and high performance requirements is proposed. Finally, hardware virtual prototype is constructed by multi-abstraction level software and hardware system modeling, and quantitative analysis is carried out through real-time formal modeling. This paper provides theoretical and technical support for the development of domestic special edge computing chip for electric power.
数字电网边缘端需要满足快速、实时的数据处理,而现有的国产芯片存在处理能力不足、设计复杂度高的问题,因此迫切需要研究面向数字电网边缘计算方向的国产芯片架构。本文对数字电网边缘的业务场景进行了深入分析,根据不同的需求,通过软硬件划分,实现了CPU、NPU、ASIP等异构计算硬件资源的合理布局。其次,基于国产独立的CPU内核,提出了一种满足实时性和高性能要求的异构混合多核架构;最后,通过多抽象层次的软硬件系统建模构建硬件虚拟样机,并通过实时形式化建模进行定量分析。本文为国产电力专用边缘计算芯片的研制提供了理论和技术支持。
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引用次数: 0
Improved Simulated Annealing Based on Quantum Genetics for DNA Coding Optimization Design 基于量子遗传学的DNA编码优化设计改进模拟退火
Haojie Wu, Changjun Zhou
DNA computing is a field combining computer science and molecular biology. The DNA coding is the core problem in DNA computing and related research fields. DNA coding research mainly involves two aspects: one is to obtain a sufficient number of DNA sequences under the premise that the coding quality has met the requirements; the other is to improve the coding quality as much as possible under the condition that the coding quantity is sufficient. This paper focuses on the study of the former. This paper improves the Simulated Annealing(SA) algorithm and combines it into a Quantum Chaos-Simulated Annealing algorithm to improve the lower bound of the DNA coding set. The experimental findings demonstrate that this algorithm’s code set outcomes are superior than those of other methods.
DNA计算是计算机科学和分子生物学相结合的一个领域。DNA编码是DNA计算及相关研究领域的核心问题。DNA编码研究主要涉及两个方面:一是在编码质量满足要求的前提下获得足够数量的DNA序列;二是在编码数量充足的情况下,尽可能提高编码质量。本文主要对前者进行研究。本文对模拟退火算法进行了改进,并将其结合到量子混沌-模拟退火算法中,以提高DNA编码集的下界。实验结果表明,该算法的码集结果优于其他方法。
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引用次数: 0
Analysis of the integration of cultural tourism industry in Guangxi— Econometric analysis based on data from 2010-2019 广西文化旅游产业整合分析——基于2010-2019年数据的计量分析
Hui-Ji Xu, Fuxing Liang, Hanwen Ding, L. Xiao
This paper collects and sorts out the relevant data of Guangxi's cultural industry and tourism industry from 2010 to 2019, and analyzes and clarifies the degree of integration and existing problems of cultural tourism in Guangxi based on the coupling coordination model, draws a Line charts and histograms reflecting the trend change of its coupling and coordination degree, and proposes corresponding solutions. The results show that from 2010 to 2019, the coupling coordination degree D value of the two is between 0.441 and 0.885, and most of the coupling degree C values are above 0.8. In 2010, the coupling coordination was the lowest, with a value of 0.441, and in 2019, the coupling coordination reached a maximum of 0.885. With the "industrial integration" gradually entering the public vision, tourism, as a pillar industry of the national economy, has been deeply developed at home and abroad in recent years. According to the problem of fluctuation of coupling and coordination degree between the two systems, the paper proposes to focus on the establishment of a long-term mechanism for the development of tourism industry and the development of cultural industry, so as to promote the innovative development of Guangxi's tourism industry, improve the competitiveness of the tourism industry, optimize the industrial structure, and transform the growth momentum.
本文收集整理了2010 - 2019年广西文化产业和旅游产业的相关数据,并基于耦合协调模型对广西文化旅游的融合程度和存在的问题进行了分析和梳理,绘制了反映其耦合协调度趋势变化的线形图和直方图,并提出了相应的解决方案。结果表明:2010 - 2019年,两者耦合配合度D值在0.441 ~ 0.885之间,大部分耦合配合度C值在0.8以上;2010年耦合协调度最低,为0.441,2019年耦合协调度最高,为0.885。随着“产业融合”逐渐进入大众视野,旅游业作为国民经济的支柱产业,近年来在国内外得到了深入发展。本文针对两个系统之间耦合和协调度波动的问题,提出重点建立旅游产业发展与文化产业发展的长效机制,以促进广西旅游产业创新发展,提高旅游产业竞争力,优化产业结构,转变增长动力。
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引用次数: 0
Cyber-attacks on SWIFT Systems of financial institutions 针对金融机构SWIFT系统的网络攻击
Minchuan Qin, G. Mogos
From daily online payments to large financing transactions, online financial services make business behaviour convenient and fast. At the same time, attackers can use many means to damage this system. The Society for Worldwide Interbank Financial Telecommunications (SWIFT) system sets up a series of message standards to regulate the communication message format between all users, which greatly improves the business efficiency. Hackers with financial knowledge can get more familiar with SWIFT messages and make the traditional cyber-attacks more targeted or develop more threatening trojan viruses. This paper focuses on studying the cyber-attacks on SWIFT systems. The paper presents three different attacks and discuss how each attack can damage SWIFT users and profit the hackers.
从日常的网上支付到大额的金融交易,网上金融服务使商业行为变得方便快捷。同时,攻击者可以使用多种手段来破坏该系统。环球银行金融电信协会(SWIFT)系统建立了一系列报文标准,规范了所有用户之间的通信报文格式,大大提高了业务效率。具有金融知识的黑客可以更加熟悉SWIFT消息,使传统的网络攻击更具针对性或开发更具威胁性的特洛伊病毒。本文主要研究针对SWIFT系统的网络攻击。本文提出了三种不同的攻击,并讨论了每种攻击如何损害SWIFT用户并使黑客获利。
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引用次数: 0
A Lightweight Foreign Object Debris Detection Algorithm for Airport Runway 一种轻型机场跑道异物碎片检测算法
Jialing Liu, Yifeng Lu
Aiming at the problem that small target detection for foreign object debris(FOD) on airport runways, the deep learning target detection algorithm is difficult to deploy on mobile devices due to the large size of the model and too many parameters. A lightweight FOD detection algorithm YOLO-ACIR is proposed based on YOLOX detection model. The spatial pyramid structure is improved, and the spatial pyramid structure with atrous convolution is utilized to reduce the loss of local information and edge information while expanding the receptive field. Secondly, the inverted residual structure and depth-separable convolution are introduced to improve the feature extraction module to provide richer features and reduce the loss of image information. Faster model inference by fusing convolutional and BN layers. Finally, FOD-A data set is used to verify the algorithm. Experimental results show that, in comparison with YOLOX-Nano with A few parameters added, the improved YOLO-ACIR, mAP@0.5:0.95, increases by 3.5 percentage points, and the final inference speed increases by 35.34 percentage points after the convolution layer and BN layer are fused. The comprehensive performance is better than original model, which is a more suitable target detection algorithm for mobile devices.
针对机场跑道异物碎片(FOD)小目标检测问题,深度学习目标检测算法由于模型规模大、参数过多,难以在移动设备上部署。基于YOLOX检测模型,提出了一种轻量级的FOD检测算法YOLO-ACIR。对空间金字塔结构进行了改进,利用空间金字塔结构加亚鲁斯卷积,在扩大接收野的同时减少了局部信息和边缘信息的损失。其次,引入逆残差结构和深度可分卷积来改进特征提取模块,提供更丰富的特征,减少图像信息的损失;通过融合卷积层和BN层实现更快的模型推理。最后,利用FOD-A数据集对算法进行验证。实验结果表明,与添加少量参数的yolo - nano相比,将卷积层与BN层融合后,改进后的YOLO-ACIR (mAP@0.5:0.95)提高了3.5个百分点,最终推理速度提高了35.34个百分点。综合性能优于原模型,是一种更适合移动设备的目标检测算法。
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引用次数: 0
An Optimization Design Method of Cloud Manufacturing Service Process Based on Improved Artificial Bee Colony Algorithm 基于改进人工蜂群算法的云制造服务流程优化设计方法
Qingxue Liu, Yanxia Sun, Xia Wang, Yan Wang, Yuqing Tian
Abstract: To improve the generation efficiency and quality of the optimal cloud manufacturing service process, a cloud manufacturing service process optimization method based on the improved artificial bee colony algorithm is proposed. A service process response architecture oriented service clusters is constructed, which reduces the searching space by clustering similar services into a same group. An improved artificial bee colony algorithm is designed to improve the quality of service composition. Experiment results show that the optimal quality of cloud manufacturing service process generated by the proposed method is better than the state-of-art service process optimization algorithms. CCS CONCEPTS •Computing methodologies •Modeling and simulation •Model development and analysis •Model verification and validation
摘要为提高云制造服务流程优化的生成效率和质量,提出了一种基于改进人工蜂群算法的云制造服务流程优化方法。构造了面向服务集群的服务流程响应体系结构,通过将相似的服务聚到同一组中,减少了搜索空间。为了提高服务组合的质量,设计了一种改进的人工蜂群算法。实验结果表明,该方法生成的云制造服务流程的最优质量优于现有的服务流程优化算法。CCS概念•计算方法•建模和仿真•模型开发和分析•模型验证和确认
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引用次数: 0
System of Research Suppliers on Big Data Technology: Design and Research on Management System of Scientific Research Suppliers in Colleges and Universities Based on Big Data Technology 基于大数据技术的科研供应商体系——基于大数据技术的高校科研供应商管理体系设计与研究
Zhanbin Wang, Guangzhu Dong, Xi Ba
Multiplex types of disciplines and complex stages are the characteristics of management of scientific research suppliers in Colleges and Universities. Therefore, the enterprise supplier management ideas can not be copied completely by it. All processes of scientific research supplier management in Colleges and Universities are mentioned in the article. It focuses on analysis of Characteristics and difficulties of scientific research supplier management in Colleges and Universities, and studies the application advantages of big data technology in the management and maintenance of University suppliers. Based on the research above, a software platform design of university scientific research supplier management system is proposed by applying big data technology in this article. This design not only establishes supplier database, but introduces big data technology to process Internet information in a direction to assist in updating the directory. Moreover, the management process of university scientific research suppliers is standardized, and the reliability of supplier list update is improved in the article. University scientific research, Supplier management , Supplier database construction
学科类型多、阶段复杂是高校科研供给方管理的特点。因此,企业的供应商管理思路不可能完全被其复制。本文论述了高校科研供应商管理的各个环节。重点分析了高校科研供应商管理的特点和难点,研究了大数据技术在高校供应商管理维护中的应用优势。基于以上研究,本文提出了一种应用大数据技术的高校科研供应商管理系统软件平台设计。本设计在建立供应商数据库的基础上,引入大数据技术对互联网信息进行处理,以辅助目录的更新。规范了高校科研供应商的管理流程,提高了供应商清单更新的可靠性。高校科研、供应商管理、供应商数据库建设
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引用次数: 0
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Proceedings of the 5th International Conference on Computer Science and Software Engineering
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