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SSrN 2022年

作者： Shin, Jong-Gyu Heo, In-Seok Yae, Jin-Hae Kim, Sang-Ho Regional Industrial Management Research Institute Kumoh National Institute of Technology Korea Republic of Department of Industrial Engineering Kumoh National Institute of Technology Deahak-ro 61 Gyeongsangbuk-do Gumi39177 Korea Republic of Automated Driving System R&D Center Korea Automotive Technology Institute Korea Republic of

The development of advanced technology is revolutionizing the human life. In this regard, autonomous driving, one of the core technologies, is changing rapidly. In addition to improving the technology, the acceptance of users who use the technology must be secured. Most relevant studies conducted hitherto involve evaluations using acceptance elements defined based on the technology acceptance model and the unified theory of acceptance and use of technology. In this study, 21 elements associated with the acceptance of autonomous driving are defined. The Kano model is used to classify the acceptance factors into five attributes as well as to propose guidelines for improving acceptance. driver characteristics are classified based on four human factors and used to investigate differences in acceptance between groups. A Google survey and fieldwork are completed by 187 participants. Contrary to previous studies, no significant gender differences are observed in the current study. In terms of age, many obstacles are encountered in securing autonomous driving acceptance from the elderly driver group. Additionally, a more conservative tendency is indicated by people with more driving experience. The results of this study reveal important points in identifying elements that hinder the sustainability and commercialization of autonomous driving in the future, thereby facilitating the further technological development of autonomous driving. © 2022, The Authors. All rights reserved.

关键词： Surveys

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deepMigration: Flow Migration for NFV with Graph-based deep reinforcement Learning

DeepMigration: Flow Migration for NFV with Graph-based Deep ...

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IEEE International Conference on Communications (ICC)

作者： Penghao Sun Julong Lan Zehua Guo di Zhang Xianfu Chen Yuxiang Hu Zhi Liu National Digital Switching System Engineering & Technological R&D Center Beijing Institute of Technology Zhengzhou University VTT Technical Research Centre of Finland Shizuoka University

ISBN: (数字)9781728150895

ISBN: (纸本)9781728150901

Network Function Virtualization (NFV) enables flexible deployment of network services as applications. Network operators expect to use a limited number of Network Function (NF) instances to handle the fluctuating traffic load and provide network services. However, it is a big challenge to guarantee the Quality of Service (QoS) under the unpredictable network traffic while minimizing the processing resources. One typical solution is to realize NF scale-out, scale-in and load balancing by elastically migrating the related traffic flows with Software-defined Networking (SdN). However, it is difficult to optimally migrate flows since many real-time statuses of NF instances should be considered to make accurate decisions. In this paper, we propose deepMigration to solve the problem by efficiently and dynamically migrating traffic flows among different NF instances. deepMigration is a deep reinforcement Learning (drL)-based solution coupled with Graph Neural Network (GNN). By taking advantages of the graph-based relationship deduction ability from our customized GNN and the self-evolution ability from the experience training of drL, deepMigration can accurately model the cost (e.g., migration latency) and the benefit (e.g., reducing the number of NF instances) of flow migration among different NF instances and generate dynamic and effective flow migration policies to improve the QoS. Experiment results show that deepMigration requires less migration cost and saves up to 71.6% of the computation time than existing solutions.

关键词： Noise measurement Quality of service Training Machine learning Load management Artificial neural networks

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A distributed decision Mechanism for Controller Load Balancing Based on Switch Migration in SdN

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China Communications 2018年第10期15卷 129-142页

作者： Tao Hu Peng Yi Jianhui Zhang Julong Lan National Digital Switching System Engineering & Technological R&D Center Zhengzhou 450002 China

Software defined Networking(SdN) provides flexible network management by decoupling control plane from data plane. And multiple controllers are deployed to improve the scalability and reliability of the control plane, which could divide the network into several subdomains with separate controllers. However, such deployment introduces a new problem of controller load imbalance due to the dynamic traffic and the static configuration between switches and controllers. To address this issue, this paper proposes a distribution decision Mechanism(ddM) based on switch migration in the multiple subdomains SdN network. Firstly, through collecting network information, it constructs distributed migration decision fields based on the controller load condition. Then we choose the migrating switches according to the selection probability, and the target controllers are determined by integrating three network costs, including data collection, switch migration and controller state synchronization. Finally, we set the migrating countdown to achieve the ordered switch migration. Through verifying several evaluation indexes, results show that the proposed mechanism can achieve controller load balancing with better performance.

关键词： software defined networking controller load balancing switch migration distributed decision

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reliable and Load Balance-Aware Multi-Controller deployment in SdN

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China Communications 2018年第11期15卷 184-198页

作者： Tao Hu Peng Yi Jianhui Zhang Julong Lan National Digital Switching System Engineering & Technological R&D Center Zhengzhou 450002 China

Software defined Networking(SdN) provides flexible network management by decoupling control plane and data plane. However, such separation introduces the issues regarding the reliability of the control plane and controller load imbalance in the distributed SdN network, which will cause the low network stability and the poor controller performance. This paper proposes reliable and Load balance-aware Multi-controller deployment(rLMd) strategy to address the above problems. Firstly, we establish a multiple-controller network model and define the relevant parameters for rLMd. Then, we design the corresponding algorithms to implement this strategy. By weighing node efficiency and path quality, Controller Placement Selection(CPS) algorithm is introduced to explore the reliable deployments of the controllers. On this basis, we design Multiple domain Partition(MdP) algorithm to allocate switches for controllers according to node attractability and controller load balancing rate, which could realize the reasonable domain planning. Finally, the simulations show that, compared with the typical strategies, rLMd has the better performance in improving the reliability of the control plane and balancing the distribution of the controller loads.

关键词： software defined networking controller reliability load balancing networkoptimization

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Multi-Variant eXecution: State-of-the-Art and research Challenges

Multi-Variant eXecution: State-of-the-Art and Research Chall...

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International Conference on Communication Software and Networks, ICCSN

作者： Gaofei Zhang Zheng Zhang Bolin Ma Jiang Wang State key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China National Digital Switching System Engineering & Technological R&D Center Zhengzhou China

ISBN: (数字)9781728198156

ISBN: (纸本)9781728198163

As Internet security issues are becoming increasingly serious, many scholars and experts are exploring new defense strategies. The availability of multi-core computers and cloud computing resources has brought back the original costly defense methods to people's vision. Among them, the Multi-Variant eXecution (MVX) defense has received widespread attention and is considered a security technology that may change the rules of cyberspace games. In this paper, we analyze and summarize the current MVX defense technology, focusing on the evolution of the architecture and the key technologies. Finally, we point out the challenges to MVX and discuss future research, which is of great significance for the next work.

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A method to defense APT based on dynamic Id transformation 5th

A method to defense APT based on dynamic ID transformation

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5th International Conference on Artificial Intelligence and Security, ICAIS 2019

作者： Nie, delei Yu, Hong Lu, Xiaobin Cui, Chao Information Technology Innovation Center of Tianjin Binhai New Area Tianjin China China National Digital Switching System Engineering and Technological R&D Center ZhengzhouHenan China

ISBN: (纸本)9783030242701

This paper focuses on the security protection of intranets in schools, government agencies, data centers and industrial control information systems, studies the dynamic randomization principle on the network side based on the path hopping and address hoping strategies, and proposes a network Id (including TCP session, port, IP address, MAC address and so on) transition method based on network threat intention. By exploring network threat intention, a system dynamic transition decision-making mechanism is formed to implement the dynamic and uncertain structure of network information system. Thus, the active security defense of network information system can be realized based on existing hardware and software environment with vulnerabilities and backdoors. The experimental results show that this method can effectively enhance the security of network information system. © Springer Nature Switzerland AG 2019.

关键词： Intranets

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Intelligent Computing: The Latest Advances, Challenges and Future

arXiv

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arXiv 2022年

作者： Zhu, Shiqiang Yu, Ting Xu, Tao Chen, Hongyang dustdar, Schahram Gigan, Sylvain Gunduz, deniz Hossain, Ekram Jin, Yaochu Lin, Feng Liu, Bo Wan, Zhiguo Zhang, Ji Zhao, Zhifeng Zhu, Wentao Chen, Zuoning durrani, Tariq S. Wang, Huaimin Wu, Jiangxing Zhang, Tongyi Pan, Yunhe Zhejiang Lab Hangzhou China TU Wien Austria Sorbonne University Paris France Department of Electrical and Electronic Engineering Imperial College London London United Kingdom Department of Electrical and Computer Engineering University of Manitoba Manitoba Canada Faculty of Technology Bielefeld University Bielefeld Germany Chinese Academy of Engineering Beijing China Department of Electronic and Electrical Engineering University of Strathclyde Glasgow United Kingdom National University of Defense Technology Changsha China National Digital Switching System Engineering & Technological R&D Center Zhengzhou China Materials Genome Institute Shanghai University Shanghai China Zhejiang University Hangzhou China

Computing is a critical driving force in the development of human civilization. In recent years, we have witnessed the emergence of intelligent computing, a new computing paradigm that is reshaping traditional computing and promoting digital revolution in the era of big data, artificial intelligence and internet-of-things with new computing theories, architectures, methods, systems, and applications. Intelligent computing has greatly broadened the scope of computing, extending it from traditional computing on data to increasingly diverse computing paradigms such as perceptual intelligence, cognitive intelligence, autonomous intelligence, and human-computer fusion intelligence. Intelligence and computing have undergone paths of different evolution and development for a long time but have become increasingly intertwined in recent years: intelligent computing is not only intelligence-oriented but also intelligence-driven. Such cross-fertilization has prompted the emergence and rapid advancement of intelligent computing. Intelligent computing is still in its infancy and an abundance of innovations in the theories, systems, and applications of intelligent computing are expected to occur soon. We present the first comprehensive survey of literature on intelligent computing, covering its theory fundamentals, the technological fusion of intelligence and computing, important applications, challenges, and future perspectives. We believe that this survey is highly timely and will provide a comprehensive reference and cast valuable insights into intelligent computing for academic and industrial researchers and practitioners. Copyright © 2022, The Authors. All rights reserved.

关键词： Surveys

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UAV-Based Trilateration system for Localization and Tracking of radio-Tagged Flying Insects: development and Field Evaluation

UAV-Based Trilateration System for Localization and Tracking...

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IEEE/rSJ International Conference on Intelligent robots and systems (IrOS)

作者： Jeonghyeon Pak Bosung Kim Chanyoung Ju Sung Hyun You Hyoung Il Son Department of Convergence Biosystems Engineering Chonnam National University Gwangju Republic of Korea Interdisciplinary Program in IT-Bio Convergence System Chonnam National University Gwangju Republic of Korea Research Center for Biological Cybernetics Chonnam National University Yongbong-ro 77 Gwangju Republic of Korea Automotive Materials & Components R&D Group Korea Institute of Industrial Technology Gwangju Republic of Korea Department of Electronic Engineering Chosun University Gwangju Republic of Korea

As the interest in ecosystem protection increases, many researchers are focusing on tracking flying insects to preserve biodiversity. Invasive alien species (IAS) such as Vespa velutina nigrithorax require extensive consideration in this regard owing to size and weight limitations. In this paper, we propose and experimentally validate an unmanned aerial vehicle (UAV)-based trilateration system for localization and tracking of flying insects. The proposed tracking algorithm is based on the use of multiple omnidirectional antennas, and it improves the tracking accuracy and shortens the tracking time compared to those of the existing unidirectional antennas. In addition, we reduce the measurement error and noise by applying a finite impulse response (FIr) filter to the received signal strength (rSS) emitted from the radio-telemetry transmitter. A field experiment involving the proposed trilateration system was conducted in an apiary. This experiment was divided into three sub-experiments as follows: 1) behavior experiment, 2) ground truth experiment, and 3) localization and tracking experiment. The proposed system contributes to the research on UAV-based tracking systems that respond to the speed of spreading of invasive V. velutina.

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Trends of simulation models for power system analysis with a large amount of distributed generators (Second report)

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IEEJ Transactions on Power and Energy 2021年第3期141卷 229-232页

作者： Tsuji, Takao Okada, Naotaka Shimizu, Keiichi Faculty of Engineering Yokohama National University 79-5 Tokiwadai Hodogaya-ku Yokohama240-8501 Japan Central Research Institute of Electric Power Industry 2-6-1 Nagasaka Yokosuka240-0196 Japan Research and Development Department R&D Center Power System Technology Laboratory Kansai Electric Power Co. Inc. 3-11-20 Nakoji Amagasaki661-0974 Japan

The integration of variable renewable energy sources has been greatly promoted worldwide, and power system analysis becomes more important due to the more complexity in the power system with a large number of distributed generators. It is of prime importance to utilize appropriate models according to the purposes of the numerical simulations. Hence, in this paper, the latest trends of simulation models for power system analysis, such as inverters, rechargeable battery, transient stability, and microgrid, were introduced. © 2021 The Institute of Electrical Engineers of Japan.

关键词： Wind power

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Mongolian medicine in treating type 2 diabetes mellitus combined with nonalcoholic fatty liver disease via FXr/LXr-mediated P2X7r/NLrP3/NF-κB pathway activation

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Chinese Herbal Medicines 2022年第3期14卷 367-375页

作者： Shuyin Bao Xiuzhi Wang Qianqian Ma Chengxi Wei Jixing Nan Wuliji Ao Institute of Pharmaceutical Chemistry and Pharmacology Inner Mongolia Minzu UniversityTongliao 028000China Inner Mongolia Key Laboratory of Mongolian Medicine Pharmacology for Cardio-Cerebral Vascular System Tongliao 028000China Department of Medicines and Foods Tongliao Vocational CollegeTongliao 028000China Jilin Key Laboratory for Traditional Chinese Korean Medicine College of PharmacyYanbian UniversityYanji 133002China Research and development center Inner Mongolia Research Institute of Traditional Mongolian Medicine Engineering TechnologyTongliao 028000China Mongolian Medicine R&D National Local Union Engineering Research Center Inner Mongolia Minzu UniversityTongliao 028000China

Type 2 diabetes mellitus(T2dM)and nonalcoholic fatty liver disease(NAFLd)are the most problematic metabolic diseases in the *** encompasses a spectrum of severity,ranging from simple steatosis to non-alcoholic steatohepatitis(NASH)and fibrosis,increasing the risk of cirrhosis and hepatocellular ***,NAFLd is closely linked to obesity and tightly interrelated with insulin resistance and T2dM.T2dM and NAFLd(T2dM-NAFLd)are called as the Xike rixijing disease and Tonglaga Indigestion disease respectively,in Mongolian *** rixijing disease maybe develop into Tonglaga Indigestion *** many Mongolian medicines show efficient treatment of T2dM-NAFLd,such as Agriophyllum squarrosum,Haliyasu(dried powder of camel placenta),digeda-4(herbs of Lomatogonium carinthiacum,rhizomata of Coptis chinensis,ripe fruits of Gardenia jasminoides,herbs of dianthus superbus),Guangmingyan Siwei decoction Powder(Halite,ripe fruits of Terminalia chebula,rhizomata of Zingiber officinale,fruit clusters of Piper longum),Tonglaga-5(ripe fruits of Punica granatum,barks of Cinnamomum cassia,ripe fruits of Amomum kravanh,fruit clusters of Piper longum,fowers of Carthamus tinctorius),Tegexidegeqi(rhizomata of Inula helenium,ripe fruits of Gardenia jasminoides,rhizomata of Platycodon grandiflorum,rhizomata of Coptis chinensis,heartwood of Caesalpinia sappan),Ligan Shiliu Bawei San(ripe fruits of Punica granatum,barks of Cinnamomum cassia,ripe fruits of Amomum kravanh,fruit clusters of Piper longum,fowers of Carthamus tinctorius,ripe fruits of Amomum tsao-ko,rhizomata of Zingiber officinale),*** of Mongolian medicine in treating diseases:by balancing“three essences or roots”and“seven elements”,strengthening liver and kidney function,transporting nutrients to enhance physical strength and disease resistance,and combined with drugs for comprehensive conditioning ***,their molecular mechanisms remain *** this review,we prospect

关键词： Mongolian medicine nonalcoholic fatty liver disease type 2 diabetes mellitus Xike rixijing disease

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