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检索条件"任意字段=7th International Conference on Computing in Engineering and Technology, ICCET 2022"

共 10988 条记录，以下是291-300 订阅

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A Cloud-based Approach for Collaboration of Serviced-enhanced Products

A Cloud-based Approach for Collaboration of Serviced-enhance...

引用

IEEE international conference on Industrial engineering and engineering Management

作者： Surajbali, Bholanathsingh Juan-Verdejo, Adrian Baer, Holger Alexakis, Spiros Huebsch, Gerald Bauer, Markus CAS Software AG Karlsruhe Germany

ISBN: (纸本)9781479964109

the rise of cloud computing is radically changing the way Small and Medium Enterprises (SMEs) manage their information technology assets. In order to provide innovative services, association of SMEs' can strategically join their competencies to respond to business and collaboration opportunities. In this paper we focus on exploring the potential of utilising cloud computing to support a goal-oriented collaborative network by allowing organisations to collaborate on products and services in realtime. Furthermore, we believe our approach will enable organisations to collaborate on emergence of new products, and new services bringing together stakeholders to develop ideas and concepts that leverage to increase product and service innovation.

关键词： Cloud computing Virtual Organisation Goal-oriented network

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Browser Fingerprinting Identification Using Incremental Clustering Algorithm Based on Autoencoder 23

Browser Fingerprinting Identification Using Incremental Clus...

引用

23rd IEEE international conference on High Performance computing and Communications, 7th IEEE international conference on Data Science and Systems, 19th IEEE international conference on Smart City and 7th IEEE international conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Zou, Futai Zhai, Haochen School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781665494571

Browser fingerprinting technology is of great significance in the location of malicious traffic, and it also plays an important role in accurate advertising. the concealment or tampering of the explicit identifier leads to the failure of traditional fingerprinting identification technology. In this paper, we implement browser fingerprinting identification technology based on multiple implicit identifiers which are easily accessible. Especially, we designed an incremental clustering algorithm based on autoencoder. the new data point is treated as an incremental process for the clustering algorithm. Different from traditional clustering algorithms, the newcoming data point is compressed by autoencoder, and then treated as an incremental process so that we just need to compare the distance to the nearest cluster center with the distance threshold for fingerprinting identification, instead of traversing the entire dataset. Experimental results show that our incremental clustering algorithm has distinct advantages, especially in time consumption when comparing with K-means and DBSCAN algorithms, and prove that it is a lightweight algorithm for fingerprinting identification to adapt to the dynamic real environment and has better application prospects. © 2021 IEEE.

关键词： Smart cities Heuristic algorithms Clustering algorithms Fingerprint recognition Feature extraction Browsers Data mining

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technology Configuration of Innovation and Entrepreneurship Platform Based on Cloud computing 7

Technology Configuration of Innovation and Entrepreneurship ...

引用

7th international conference on Cyber Security and Information engineering, ICCSIE 2022

作者： Liu, Lei Liu, Yuyang Xie, Mingying Guangdong Polytechnic Foshan China Guangdong Medical University Dongguan China

ISBN: (纸本)9781665455749

With the development of network technology, information service platform plays an important role in the field of management. Based on the background of the rapid development of cloud computing and innovation and entrepreneurship, this paper analyzes the key technologies of cloud computing, studies the multi-level cloud computing structure system, constructs the innovation and entrepreneurship information platform under the cloud support system, and gives the specific configuration parameters. the use of the platform gives full play to the role of information technology in the management system, promotes the flow of information in the management system, centralizes and disperses resources, and provides a basic platform for innovation and entrepreneurship. In addition to providing public management interface, it also tries to provide customized services for innovation and entrepreneurship management, making innovation and entrepreneurship service function modules intelligent and informative, and improving the daily operation and management level. © 2022 IEEE.

关键词： Cloud computing

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computing Amplification Factors for Influence on Social Network based on Learning of Behaviors and Interacted Knowledge Graph 23

Computing Amplification Factors for Influence on Social Netw...

引用

作者： Nguyen, Hien D. Tran, Quan M. Pham, Vuong T. Huynh, Tai University of Information Technology Faculty of Computer Science Ho Chi Minh City Viet Nam Vietnam National University Ho Chi Minh City Viet Nam Kyanon Digital Ho Chi Minh City Viet Nam Sai Gon University Faculty of Information Technology Ho Chi Minh city Viet Nam Ostrava Czech Republic

ISBN: (纸本)9781665494571

this presentation proposes a metric to estimate the influence of users and communities on Social Media Networks through the combining of Knowledge Graph and Deep Learning approaches. An unsupervised deep learning model is constructed to learn and explore the behavior of users based on Variational Graph Autoencoder (VGAE). It enhances to automatically extract from the relationships among users. the model is robust to unseen data and takes no labeling effort. the experiments show significant performance and promising results which are competitive and outperforms some well-known Graph-convolutional-based. the proposed approach is applied to measure the influence of users on the practical social network. this sudy also presents an architecture of a system to mange campaigns of digital marketing on social network. © 2021 IEEE.

关键词： Knowledge engineering Deep learning Measurement Social networking (online) Smart cities Computer architecture Data models

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the Porting and Optimization of RISC-V UEFI Boot 7

The Porting and Optimization of RISC-V UEFI Boot

引用

7th international conference on Intelligent computing and Signal Processing, ICSP 2022

作者： Zhang, Luming Zhejiang University College of Information Science and Electronic Engineering Hangzhou China

ISBN: (纸本)9781665478571

the galloping development of RISC-V processors has put forward higher requirements for bootup firmware. this paper introduces the basic architecture and boot process of UEFI under the QEMU emulation platform, and describes the defects of the RISC-V UEFI boot process based on the EDK2 Sifive implementation. then the principles and methods of porting and optimization in different stages of RISC-V UEFI boot is analyzed and summarized. the adaptations are made to realize RISC-V UEFI boot in the QEMU's virtio environment for the first time. Meanwhile operations are simplified, and features are expanded. Finally, QEMU is used to start the RISC-V UEFI to verify the improvements. © 2022 IEEE.

关键词： Firmware

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Energy Efficient Routing Protocol for Multisink Wireless Sensor Networks 7th

Energy Efficient Routing Protocol for Multisink Wireless Sen...

引用

7th international conference on computing in engineering and technology, iccet 2022

作者： Rajanna, M. Shiva Murthy, G. Varaprasad, G. VTU PG Center Muddenahalli Chickballapur India BMS College of Engineering Bengaluru India

ISBN: (纸本)9789811927188

Wireless Sensor Network (WSN) is one of the major research areas. WSN contains thousands of sensor devices. these nodes can communicate with other nodes directly or indirectly through BaseStation (BS). Routing is one of the critical areas in the WSN. Many investigators proposed routing algorithms for single sink WSN. However, routing data in the multiple sink node is still more challenging. In this work, Energy Efficient Routing Protocol for Multisink Wireless Sensor Networks has routed the information through an optimal path between source to sink node. the optimal path is found considering parameters like residual energy, energy consumption rate, and hop count. Proposed EERP performs 48% improvement compared to EORA in average residual energy spent in routing. © 2022, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Energy efficiency

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Assessment on the anti-epidemic measures: Mathematical model establishment for COVID-19 epidemic and application of recurrent neural network 7

Assessment on the anti-epidemic measures: Mathematical model...

引用

7th international conference on Intelligent computing and Signal Processing, ICSP 2022

作者： Yao, Senlan South China University of Technology Shien-Ming Wu School of Intelligent Engineering Guangzhou China

ISBN: (纸本)9781665478571

How to evaluate the effectiveness of epidemic prevention measures scientifically and reasonably has become the most urgent task for governments around the world. the rapid spread of the coronavirus has brought great challenges to the global community. In this paper, the effectiveness of the following three epidemic prevention measures, including makeshift hospitals, closed cities, and wearing masks, is evaluated by establishing relevant mathematical models and applying the circulating neural network. For the scenes of closed cities and makeshift hospitals, the improved model of SEIR eight cabins is established in this paper, and the parameters are updated in real-time by Long Short-Term Memory. the following results are obtained: the closed city measures greatly reduce the probability of the transfer of susceptible persons to latent ones, and the epidemic is effectively controlled. Regarding the issue of wearing masks, this paper established the MUEIR model and solved with a particle swarm optimization algorithm. It is concluded that the number of infected people decreased by 42% compared with the natural situation, indicating the effectiveness of wearing masks. In conclusion, the effectiveness of the above three epidemic prevention measures is scientifically evaluated, and artificial intelligence technology is combined to achieve intelligent dynamic prediction of the epidemic development trend. © 2022 IEEE.

关键词： Long short-term memory

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Multi-Network Task Offloading with Improved Recording Neural Network 7

Multi-Network Task Offloading with Improved Recording Neural...

引用

2022 7th international conference on Information Science, Computer technology and Transportation, ISCTT 2022

作者： Wang, Longhai Zhang, Luyong School of Information and Communication Engineering Beijing University of Posts and Telecommunication Beijing100876 China

ISBN: (纸本)9783800760565

For the current development of edge computing, it has become a new trend for multiple wireless devices to form a network to connect to the entire system [1]. At the same time, task offloading in this scenario is partially different from traditional edge computing. For multiple systems, how to efficiently allocate tasks has become the primary problem that needs to be solved in this scenario. this paper proposes an improved task offloading algorithm based on neural network. By using neural network to learn the process of task offloading, and at the same time calculate the cost after each decision, the decision that makes the cost decreasing will be recorded, the decision with the original task size is used as the input of the neural network together. Experiments show that the trained neural network can quickly and efficiently obtain the offloading result after each task input while ensuring the lowest delay and energy consumption. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Edge computing

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Power Distribution network state assessment technology based on unified computing resource pool 7

Power Distribution network state assessment technology based...

引用

7th Asia conference on Power and Electrical engineering, ACPEE 2022

作者： Wu, Zhensheng Mao, Lina Li, Kemeng He, Siwei Beijing Jiaotong University School of Electrical Engineering Beijing China State Grid Henan Electric Power Company Zhengzhou Maintenance Company Henan China Xingtang Communication Technology Co. Ltd. Beijing China

ISBN: (纸本)9781665418195

the operating status of the distribution network changes frequently, obtaining comprehensive and accurate data for fast and effective state estimation has become an inevitable trend in current development. Currently, there are many data sources in the distribution network, but they are not effectively fused and processed, which makes the reliable implementation of condition assessment technology difficult. In this paper, the data are fused and processed by a unified pool of computing resources, and the measurement terminals are optimally configured to improve the comprehensiveness and accuracy of the measurement data, thus laying a solid foundation for the state estimation of the distribution network. © 2022 IEEE.

关键词： State estimation

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Research on Remote and Near Integration Control System of Solenoid Valve for Agriculture 7

Research on Remote and Near Integration Control System of So...

引用

7th international conference on Intelligent computing and Signal Processing, ICSP 2022

作者： Liu, Yong Liu, Sijia Xu, Shipu Wu, Yingjing Liu, Chang Wang, Yunsheng Hu, Wenwen Liu, Guoqing Research Institute of Information of Agricultural Science and Technology Shanghai Academy of Agricultural Sciences Shanghai China Shanghai Institute of Technology Department of Railway Transportation Shanghai China School of Information Engineering Nanchang Hangkong University Nanchang China Technology Center Information Technology Laboratory Fujian Wuyi Tobacco Limited Company Fujian China

ISBN: (纸本)9781665478571

In order to solve the problem of the combination of the traditional on-site control method of the valve in the current agricultural production and the remote control method after the introduction of the agricultural Internet of things technology, this paper studies a remote-near integrated agricultural solenoid valve control system. the system introduces WI-FI technology to connect the valve controller to the Internet to realize remote control. In order to adapt to the usage habits of agricultural production personnel and as a backup of the remote control method, the system realizes the near-field control function. Near-field control uses industrial touchscreens to replace traditional physical buttons or switches. Industrial touch screens are generally used in conjunction with PLCs. Considering the sensitivity of agricultural production to cost, this article uses a lower-priced STM32 microcontroller to replace the PLC. the system finally realizes the real-time synchronization of the control states of the remote control and the near-field control, and truly realizes the integration of the remote control and the near-field control. © 2022 IEEE.

关键词： Solenoid valves

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