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共 27474 条记录，以下是71-80 订阅

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Embedded automation Device Based on Trusted computing 2

Embedded Automation Device Based on Trusted Computing

引用

2nd IEEE international conference on Integrated Circuits and Communication Systems, ICICACS 2024

作者： Chen, Yuanyuan Wang, Huiping Bi, Andong Liu, You Zhuang, Chunyou Lv, Yanfeng Liu, Tongshan Baoding Cigarette Factory Hebei Baisha Tobacco Co. Ltd Baoding China

ISBN: (纸本)9798350317558

Trusted computing technology, as a new type of information security technology, has been applied in various fields. In order to ensure the safe and stable operation of industrial and power automation systems, it is proposed to apply trusted computing to embedded automation devices. Based on a brief overview of trusted computing technology, combined with the trusted platform module structure, design an embedded automation device and conduct experiments on the device system. The experimental results show that at a feed rate of 200mm min-1, the roughness before compensation is 4.139 µ m. The roughness after compensation is 3.168 µ M. The experimental results show that the embedded automation device based on trusted computing proposed in this article can to some extent solve the real-time and security issues of terminal trust construction. © 2024 IEEE.

关键词： automation devices embedded system security terminal trust construction trusted computing

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Serverless computing and DevOps: A Synergistic Approach to Modern Software Development 1st

Serverless Computing and DevOps: A Synergistic Approach to M...

引用

2024 international conference on Computational Intelligence and Generative AI

作者： Puppala, Ramya Goutham, Potharlanka Rohan, Shaik Abdul Sainadh, Jaladi Teja Krishna David, Thalathoti Jason Koneru Lakshmaiah Educ Fdn Dept Comp Sci & Engn Guntur Andhra Pradesh India

ISBN: (纸本)9783031766121;9783031766107;9783031766091

This discussion explores the evolution of serverless computing, highlighting its origins, rise in importance, and the challenges it presents. Serverless computing represents a significant shift from traditional, hardware-dependent environments to cloud-based, code-centric architectures. The concept of serverless emerged with the introduction of platforms like Google App Engine and AWS Lambda, freeing developers from server management concerns and enabling them to focus solely on code development. The integration of serverless computing with DevOps practices is examined, emphasizing the role of Infrastructure as Code (IaC), version control, continuous integration (CI), and continuous deployment (CD). These practices are essential for streamlining the development and deployment of serverless applications, enhancing consistency, and promoting collaboration between development and operations teams. Furthermore, the discussion addresses the specific challenge of cold starts in serverless computing and how DevOps practices can help mitigate their impact. Strategies such as proactive monitoring, scaling policies, scheduled warm-up, provisioned concurrency, performance testing, automation, and continuous optimization are presented as solutions to minimize cold start delays. Lastly, the importance of Testing automation within the CI/CD pipeline is highlighted. Through rapid feedback, comprehensive testing, consistency, regression testing, and scalability, Testing automation ensures the quality and reliability of software in a fast-paced development environment, aligning with the principles of DevOps.

关键词： Serverless computing Function-as-a-service Infrastructure as code Continuous integration Continuous delivery Continuous deployment Cold starts Limited state management

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A Cost-effective automation Method of Massive Vulnerabilities Analysis and Remediation Based on Cloud Native 22

A Cost-effective Automation Method of Massive Vulnerabilitie...

引用

IEEE 22nd international conference on Trust, Security and Privacy in computing and Communications (TrustCom) / BigDataSE conference / CSE conference / EUC conference / ISCI conference

作者： Hu, Tian Zhuang, Shangyuan Sun, Jiyan Liu, Yinlong Ma, Wei Wang, Hongchao Chinese Acad Sci Inst Informat Engn Beijing Peoples R China Univ Chinese Acad Sci Sch Cyber Secur Beijing Peoples R China

ISBN: (纸本)9798350381993;9798350382006

With the rapid development of the cutting edge cloud computing technology, millions of vulnerabilities have been identified, there is a growing concern that organizations should devote plenty of time and lots of resources to secure. The overarching objective of remediation is to prioritize the vulnerabilities. Hence, define the severity and the urgency of the vulnerabilities and remediate them automatically is very important. Although the recognized Common Vulnerability Scoring System (CVSS) 4.0 method addresses this issues partly, they are difficult to be implemented in practices on the cloud because of the complication and lack of risk based factors. To this end, we propose a Cost-effective Massive automation Method of Vulnerability Analysis and Remediation Based on Cloud Native Framework. Specifically, considering that the current CVSS is more like a severity of vulnerabilities, we design a novel formula to define the urgency of vulnerabilities. The formula takes the advantaged of the capabilities of modern cloud-based infrastructure and simplifies the CVSS. Besides, we propose an algorithm of risk reduction by leveraging the cloud native security capabilities, which cut down unnecessary patching time and workload. Particularly, in order to remediation the risk on the cloud, we implement an automatic scheme to harden the vulnerabilities by invoking the cloud native APIs based on the Security Orchestration, automation and Response (SOAR) platform. Finally, we conduct comprehensive experiments to evaluate our system. Experimental results demonstrate the effectiveness of ours approach has a high ratio of urgency risk recognition of 99.24%. Meanwhile, ours approach shows a maximum risk reduction by downgrade the fixable vulnerability with a average of 79% risk reduction rate in application level and 99% of risk reduction rate in operating system level respectively. As a result, our approach lightens the workload of patching greatly in the real cloud computing environ

关键词： Cloud computing Massive Vulnerabilities Analysis Vulnerabilities Remediation

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Design of a CNN based Autonomous Sitting Posture Recognition System 16

Design of a CNN based Autonomous Sitting Posture Recognition...

引用

16th international conference on Computer and automation Engineering (ICCAE)

作者： Gupta, Yash Goyal, Yogesh Chauhan, Siddharth Rao, Madhav IIIT Bangalore Bangalore Karnataka India

ISBN: (纸本)9798350370058;9798350370164

The identification and characterization of sitting postures are crucial for various applications, particularly in addressing issues related to postural abnormalities, and musculoskeletal symptoms. This study presents a novel seat-mounted sitting posture detection system comprising 15 Pressure Sensitive Conductive (PSC) sensors. These sensors are strategically positioned within a seat, that interfaces with an edge computing system to run a convolutional neural network (CNN) model and predict one among 8 different sitting postures. A dataset consisting of all 15 sensory time-series signals was captured for each of the 8 postures, for training the model. The trained CNN model demonstrated superior accuracy compared to SVM, KNN, ANN, and CNN+LSTM models, leveraging spatio-temporal features for precise posture identification. High classification accuracy was achieved when applied to an unseen dataset. This cameraless system offers real-time sitting posture prediction without compromising user privacy. Its adaptability and scalability make it an innovative solution for medical, domestic, and clinical applications, aiding in posture-related concerns. The dataset, CNN model, and source-codes are made freely available for easy adoption and further usage by the designers and scientific community.

关键词： Sensory system Sitting Posture CNN Sensors Pressure Sensitive Sensors Edge computing Real-Time Estimation

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The Fusion of Artificial Intelligence and InsurTech: Revolutionizing the Insurance Landscape 3

The Fusion of Artificial Intelligence and InsurTech: Revolut...

引用

international conference on Advances in computing, Communication and Applied Informatics (ACCAI)

作者： Goyal, Simriddhi Gulati, Kamal Gupta, Stuti Amity Univ Amity Sch Insurance Banking & Actuarial Sci Noida India

ISBN: (纸本)9798350389432;9798350389449;9798350389456

The word InsurTech has been around for a decade now however, it has recently gained a much crucial position in the insurance industry, with the development ofnew-age Technological advancements such as Artificial Intelligence, Blockchain, Internet of Things (IoT), Big data, Augmented and Virtual reality (AR and VR) and Robotics Process automation (RPA). Insurtech is proving to be a digital change that modernizes the Traditional insurance sector *** research focuses on drawing a comparison between the state of InsurTech in Developed and developing countries using claims processing, Underwriting automation, and the recent changes that have come into play. Data from four InsurTechsfrom the US have also been taken Namely - Haven life, Ethos life, Fabric by Gerber life, and Bestow.

关键词： Insurance automation Technology Consumer InsurTech

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Design method of electronic devices based on digital twin 10

Design method of electronic devices based on digital twin

引用

10th international conference on Mechanical Engineering, Materials, and automation Technology, MMEAT 2024

作者： Jiang, Yunan Jiangsu Automation Research Institute Lianyungang Jiangsu222000 China

ISBN: (纸本)9781510682634

Taking the development of public computing service systems as the background requirement, combined with Digital Twin related technologies, the design of computing units is carried out. Research is carried out from the aspects of structural design, thermal simulation, mechanical simulation, and life cycle prediction, breaking through key technologies such as product health management technology based on Digital Twin ideas, thermal simulation, and twin technology based on model analysis, and mechanical simulation and twin technology based on finite element method. A full life cycle information mirror of computing units in public computing service systems is constructed to improve the reliability, maintainability, guarantee, and testability of computing units, laying a foundation for subsequent in-depth research. © 2024 SPIE.

关键词： Design Vibration Finite element methods computing systems Electronic components Computer simulations Modal analysis Reliability

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Scheduling Charging Jobs in the System of an Autonomous Charging Station under Power and Energy Constraints 27

Scheduling Charging Jobs in the System of an Autonomous Char...

引用

27th international conference on Methods and Models in automation and Robotics (MMAR)

作者： Rozycki, Rafal Waligora, Grzegorz Grobelny, Przemyslaw Poznan Univ Tech Inst Comp Sci Poznan Poland Jan Amos Komenski State Univ Appl Sci Inst Technol Leszno Poland

ISBN: (纸本)9798350311075

In the paper a problem related to the field of edge computing is considered. We discuss a situation where an autonomous energy charging station is used to perform the process of charging a fleet of electric vehicles. The station consists of two modules: a computing and an executive one. The computing module is equipped with a variable speed processor, and is responsible to find a schedule of the charging jobs. We discuss the model of the system and the resulting scheduling problem, as well and we propose a few basic approaches for solving it. Some conclusions and directions for future research are given.

关键词： edge computing power energy variable speed processor electric vehicles scheduling

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Digital Shadow Enabled Integrated Multi-platform automation System for Industrial Assembly 10

Digital Shadow Enabled Integrated Multi-platform Automation ...

引用

10th IEEE international conference on Electronics, computing and Communication Technologies (IEEE CONECCT)

作者： Revankar, Ashutosh Halapeti, Deepa Vengurlekar, Samarth Giriyapur, Arunkumar C. KLE Technol Univ Dept Automat & Robot Hubballi India

ISBN: (纸本)9798350385939;9798350385922

This paper presents a fully autonomous assembly line for custom cubes with two sub-block options (plastic and aluminium). Users can design their cubes through an Android app or website interface. The system retrieves orders, processes them based on deadlines, and dispenses the required sub-blocks. A quality inspection station with computer vision and machine learning ensures that defect-free parts are used. Cobots handle sub-block transportation and manipulation throughout the assembly process, with a dedicated station for inserting pins when necessary. A digital Shadow model facilitates performance analysis and optimization. Cloud-based platforms manage data, order processing, and remote access. Finally, an Automated Storage and Retrieval System (ASRS) manages cube storage and delivery. This research demonstrates the potential of combining automation, machine learning, and real-time monitoring for efficient custom product assembly. The approach offers applications in various industries and lays the groundwork for future research on expanding customization options and production flow optimization.

关键词： Digital-shadow Robotic assembly line Pneumatic systems Industry 4.0 IoT Control strategy optimization MATLAB Simulink OPC UA server PLCs

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Power automation sensitive data classification algorithm based on trusted privacy computing technology 4

Power automation sensitive data classification algorithm bas...

引用

4th international conference on Machine Learning and Computer Application, ICMLCA 2023

作者： Li, Zehao Li, Yong Ju, Shuchun Inner Mongolia Power Research Institute Inner Mongolia Autonomous Region Hohhot010020 China CO LTD Inner Mongolia Autonomous Region Hohhot010010 China

ISBN: (数字)9781510680265

ISBN: (纸本)9781510680258

Traditional power automation sensitive data classification algorithms are prone to generalization errors, resulting in low geometric mean of data classification. Therefore, it is necessary to design a sensitive data classification algorithm for power automation based on trusted privacy computing technology. A power automation sensitive data classification model was constructed using trusted privacy computing technology, and an optimization framework for power automation sensitive data classification was generated, achieving the classification of power automation sensitive data. The experimental results show that the designed power automation sensitive data classification algorithm based on trusted privacy technology has a high geometric mean of data classification, proving that the designed power automation sensitive data classification algorithm has good classification performance, effectiveness, and certain application value. © 2024 SPIE.

关键词： automation

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2018 4th international conference on computing Communication and automation, ICCCA 2018

2018 4th International Conference on Computing Communication...

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4th IEEE international conference on computing Communication and automation, ICCCA 2018

ISBN: (纸本)9781538669471

The proceedings contain 190 papers. The topics discussed include: survey on disaster management using VANET;diabetes diagnosis using different data pre processing techniques;a review on possibilities of hearing loss and implantable hearing devices for teenagers;SDN-Assisted IoT architecture: a review;conformal microstrip filter design using complementary split ring resonator;revisiting cloud security threats: replay attack;fake news detection using a deep neural network;design patterns in GIS application design;application of machine learning in disease prediction;and prediction of climate variable using multiple linear regression.

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