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International Conference on Intelligent Computing, Communication and devices, ICCd 2017

作者： Xiaochao, Yin Guodong, Han Zeyu, Gu China National Digital Switching System Engineering & Technological R&D Center Zhenzhou China

ISBN: (纸本)9789811089435

We propose a modified PFNF routing algorithm based on the structure of WUdN, which is an adaptive routing algorithm. The algorithm has the characteristics of simple operation, low complexity, and fast response, and we prove that the algorithm is deadlocks free. The algorithm is simulated in a 16 × 16 network through the discrete time simulator NS-3. Compared with f-cube fault-tolerant routing algorithms, the results show that the modified PFNF algorithm can improve the throughput by 8% and reduce the average delay by 10% under saturated traffic. © Springer Nature Singapore Pte Ltd. 2019.

关键词： routing algorithms

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Thoughts on the development of novel network technology

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Science China(Information Sciences) 2018年第10期61卷 144-154页

作者： Jiangxing WU National Digital Switching System Engineering and Technological R&D Center

In this paper, we explore potential innovations that could lead to breakthrough developments in Internet technologies. The deep integration of the Internet and economic society brings professionalized service capacity demand, while existing Internet infrastructure with its current technological systems still face a number of challenges, such as intelligence, diversification, personalization, robustness, and ***, we analyze the actual foundation of innovation and specify the basic technical features of a novel network. Then, we propose a fully dimensionally definable open architecture as the primary direction, and consider reshaping baseline technologies as a starting point and discuss the core operational mechanisms of the novel network based on such reshaped baseline technologies.

关键词： novel Internet technology open architecture full-dimensional definability diversified addressing and routing intelligence general robust control

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QOS-Aware Flow Control for Power-Efficient data center Networks with deep reinforcement Learning

QOS-Aware Flow Control for Power-Efficient Data Center Netwo...

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Penghao Sun Zehua Guo Sen Liu Julong Lan Yuxiang Hu National Digital Switching System Engineering & Technological R&D Center Beijing Institute of Technology Central South University

ISBN: (数字)9781509066315

ISBN: (纸本)9781509066322

reducing the power consumption and maintaining the Flow Completion Time (FCT) for the Quality of Service (QoS) of applications in data center Networks (dCNs) are two major concerns for data center operators. However, existing works either fail in guaranteeing the QoS due to the neglect of the FCT constraints or achieve a less satisfying power efficiency. In this paper, we propose SmartFCT, which employs Software-defined Networking (SdN) coupled with the deep reinforcement Learning (drL) to improve the power efficiency of dCNs and guarantee the FCT. The drL agent can generate a dynamic policy to consolidate traffic flows into fewer active switches in the dCN for power efficiency, and the policy also leaves different margins in different active links and switches to avoid FCT violation of unexpected short bursts of flows. Simulation results show that with similar FCT guarantee, SmartFCT can save 8% more of the power consumption compared to the state-of-the-art solutions.

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Ultrahigh-power all binder-free hybrid supercapacitors based on single-crystal hexagonal nanorods of molecular sieve VSB-5 hierarchical electrodes

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Journal of the Taiwan Institute of Chemical Engineers 2024年 154卷

作者： Yeh, Po-Hung Huang, Kai-Chen Mathankumar, Mahendran Wei, Sung-Yen Anuratha, Krishnan Shanmugam Kuo, Chun-Yi Su, Chia-Hung Lin, Jeng-Yu Hsieh, Chien-Kuo Department of Materials Engineering Center for Plasma and Thin Film Technologies Ming Chi University of Technology New Taipei City24301 Taiwan Department of Chemical and Materials Engineering Tunghai University Taichung City407224 Taiwan R&D Lab SulfurScience Technology Co. Ltd. New Taipei City24301 Taiwan Department of Chemical Engineering Ming Chi University of Technology New Taipei City24301 Taiwan Department of Engineering and system science National Tsing Hua University Hsinchu300044 Taiwan

Background: Molecular sieve Versailles Santa Barbara-5 (VSB-5) is a highly porous nanomaterial for electrochemical supercapacitor. Methods: A facile hydrothermal method is used to directly synthesize VSB-5 nanorods onto the Nickel Foam (NF). Significant findings: In this work, one-dimensional single-crystal hydrogen nickel phosphate hydroxide hydrate (Ni20[(OH)12(H2O)6][(HPO4)8(PO4)4]·12H2O, also denotes as VSB-5, hexagonal nanorods arrays are successfully synthesized on NF via a hydrothermal method, and applied them as positive electrodes for hybrid supercapacitor (HSC). The resultant open framework of VSB-5 with unique nanochannels provides the synchronous advantages of a large surface area with numerous active sites for enhancing faradic redox reactions and abundant pathways for promoting electrolyte ions diffusion, thus leading to excellent energy storage behavior. Furthermore, the HSC is fabricated by paring the direct growth of carbon nanotubes (CNTs) on NF as the electrical-double-layer-capacitor negative electrode. Both the VSB-5/NF and CNTs/NF electrodes are binder-free hierarchical structures, owning the lowest interfacial resistivities between active materials and current collects, avoiding the aggregation issues to allow the facile diffusion of electrolyte for maximally utilizing the surface area. The resultant all binder-free VSB-5/NF//CNTs/NF HSC shows remarkable electrochemical performance, which delivers a maximum energy density of 46.9 W h kg−1 at a power density of 1225 W kg−1 with excellent capacity retention of 98.18% after 10,000 cycles. © 2023

关键词： Molecular sieves

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A Streaming-based Algorithm for Overlapping Community detection

A Streaming-based Algorithm for Overlapping Community Detect...

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International Conference on Computer and Communications (ICCC)

作者： Hui Li Fucai Chen Jianpeng Zhang National Digital Switching System Engineering & Technological R&D Center Information Engineering University Zhengzhou China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186368

Mining the overlapping community structure is a very important task in complex network analysis. With the development of social network and Internet of things, the scale of data is becoming larger and larger. Many existing algorithms can not deal with such a large-scale network. In order to improve the efficiency of community detection in large-scale networks, an overlapping community detection algorithm based on graph streaming is proposed. The algorithm processes the edges in the network in a streaming mode, processes only one edge at a time and each edge is processed only once and then discarded. The algorithm divides the nodes according to the degree of node, the contribution of node to the community, and the number of connected edges between communities before and after the node's moving. Experimental results on real-life networks show that our proposed approach can quickly discover overlapping community structures in large-scale networks with linear computational complexity.

关键词： Social networking (online) Image edge detection Internet of Things data mining detection algorithms Computational complexity Task analysis

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Effect of Interdiffusion Layer of Functionally Graded Al–Cu Composites Fabricated by Spark Plasma Sintering on Mechanical and Thermal Properties

SSRN

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SSrN 2024年

作者： Kim, dasom Lee, Yoonseok Kim, Kyungju Kwon, Hansang Department of Materials System Engineering Pukyong National University Busan48547 Korea Republic of Pukyong National University Industry-University Cooperation Foundation Busan48547 Korea Republic of Industrial Science Technology Research Center Pukyong National University Busan48547 Korea Republic of Department of R&D Next Generation Materials Co. Ltd. Busan48547 Korea Republic of

The effect of the microstructure of multi-layer Al–Cu functionally graded materials (FGMs) fabricated through spark plasma sintering (SPS) on the mechanical and thermal properties was systemically investigated. Uniformly mixed Al–25, 50, 75 Cu (vol%) powder samples were prepared by mechanical ball milling and used for fabricating two types of FGMs: FGM 1 with three layers (Cu/Al–50Cu/Al) and FGM 2 with five layers (Cu/Al–75Cu/Al–50Cu/Al–25Cu/Al). These FGMs were then sintering at 400 °C under a compressive pressure of 250 MPa for 5 min. The microstructures of the sintered FGMs exhibited gradual variations in the Al and Cu contents. An interdiffusion layer composed of Cu9Al4 and CuAl2 at the layer/layer interfaces was observed, the thickness of which was analyzed by energy-dispersive spectroscopy line mapping. Subsequently, the hardness and thermal conductivity of FGM 1 and FGM 2 were compared with those of Al, Al–25Cu, Al–50Cu, Al–75Cu, and Cu samples individually sintered under the same conditions, and the effect of the microstructures on the mechanical and thermal properties of the materials were discussed. © 2024, The Authors. All rights reserved.

关键词： Functionally graded materials

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Novel Biodegradable Ca–P/Ti–F Composite Conversion Coatings for Improving the Corrosion resistance of Medical Magnesium Materials

SSRN

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SSrN 2024年

作者： Sun, Ying-Sui Chu, Peng-Wei Cheng, An-Yu You, Jhu-Lin Chang, Tsung-Ming Jian, Shun-Yi Chi, Chun-Shang Liu, Yu-Cheng Chang, Chin-Jou School of Dental Technology College of Oral Medicine Taipei Medical University Taipei Taiwan Department of Engineering and System Science National Tsing Hua University Hsinchu300044 Taiwan Department of Chemical & Materials Engineering Chung Cheng Institute of Technology National Defense University Taoyuan335 Taiwan System Engineering and Technology Program National Chiao Tung University Hsinchu300 Taiwan Department of Material Engineering Ming Chi University of Technology New Taipei City24301 Taiwan Center for Plasma and Thin Film Technology Ming Chi University of Technology New Taipei243303 Taiwan Combination Medical Device Technology Division Medical Devices R&D Service Department Metal Industries Research & Development Centre Kaohsiung802 Taiwan

Mg and its alloys are characterized by favorable biocompatibility and nontoxicity, and these properties have stimulated considerable research interest in their application as degradable biomaterials for medical implants. However, the clinical application of these materials is restricted by their rapid degradation. Therefore, this study designed a surface modification method for Mg and Mg alloys to enable them to satisfy clinical requirements. A two-step conversion coating method was applied to pure Mg. Pure Mg samples were first coated with calcium phosphate (Ca–P), following which they were coated with titanium fluoride (Ti–F), resulting in the production of Mg samples coated with a bioactive Ca–P/Ti–F composite. The composition of the coated samples was investigated through energy-dispersive X-ray spectroscopy with transmission electron microscopy, and their morphology was characterized through scanning electron microscopy. Moreover, hydrogen evolution measurements in simulated body fluid (SBF), electrochemical impedance spectroscopy, and polarization curves were employed to evaluate the samples’ corrosion resistance. The prepared composite conversion coatings had an average thickness of approximately 350 nm, and their corroded area was less than 5% of their total area following their immersion in SBF for 72 h. Thus, the prepared Ca–P/Ti–F composite conversion coatings effectively inhibited Mg corrosion in SBF. Moreover, the attachment and differentiation of MG-63 cells on the prepared coatings were observed. © 2024, The Authors. All rights reserved.

关键词： Energy dispersive spectroscopy

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MdLB:a metadata dynamic load balancing mechanism based on reinforcement learning

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Frontiers of Information technology & Electronic engineering 2020年第9期21卷 1034-1046页

作者： Zhao-qi WU Jin WEI Fan ZHANG Wei GUO Guang-wei XIE National Digital Switching System Engineering&Technological R&D Center Zhengzhou 450002China School of Computer Science Fudan UniversityShanghai 200433China Data Arena Institute Fudan UniversityShanghai 200433China

With the growing amount of information and data, object-oriented storage systems have been widely used in many applications, including the Google File system, Amazon S3, Hadoop distributed File system, and Ceph, in which load balancing of metadata plays an important role in improving the input/output performance of the entire system. Unbalanced load on the metadata server leads to a serious bottleneck problem for system performance. However, most existing metadata load balancing strategies, which are based on subtree segmentation or hashing, lack good dynamics and adaptability. In this study, we propose a metadata dynamic load balancing(MdLB) mechanism based on reinforcement learning(rL). We learn that the Q_learning algorithm and our rL-based strategy consist of three modules, i.e., the policy selection network, load balancing network, and parameter update network. Experimental results show that the proposed MdLB algorithm can adjust the load dynamically according to the performance of the metadata servers, and that it has good adaptability in the case of sudden change of data volume.

关键词： Object-oriented storage system Metadata dynamic load balancing reinforcement learning Q_learning

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On cultivation of cybersecurity and safety talents and responsible developers

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Security and Safety 2024年第3期3卷 29-49页

作者： Jiangxing Wu Hong Zou Jiaxi Chen Fan Zhang Yuting Shang Xinsheng Ji Fudan University Shanghai 200433China Purple Mountain Laboratory Nanjing 211111China Digital Switching System Engineering and Technological R&D Center(NDSC) Zhengzhou 450000China

To address the serious imbalance between the supply and demand of the cybersecurity workforce, this paper proposes to embrace the latest trend of a fundamental shift in the“underlying dynamics of the digital ecosystem”, focusing on a shared liability for cybersecurity between the application side and the manufacturing side. Assuming that product providers shall take more responsibility by implementing secure defaults, this paper explores the establishment of an S&S talent cultivation system to strike the right balance of cybersecurity liabilities by nurturing more responsible developers. This paper proposes a Knowledge, Skill, and Awareness(KSA) model for Security and Safety(S&S) talent cultivation, proves the feasibility of this model by analyzing the theoretical, disciplinary, methodological, practical, and societal foundations of S&S talent cultivation. Additionally, this paper proposes principles and strategies for building a S&S talent cultivation system based on its unique characteristics and patterns. It gives a talent cultivation scheme, supported by an “Independent Knowledge system, Education and Cultivation system, Practice and Training system, Evaluation and Certification system,and Awareness Popularization system”. Finally, this paper puts forward a proposal for coordinating efforts and adopting multiple measures to accelerate the cultivation of S&S talents.

关键词： Security and safety Talent cultivation system Cybersecurity Endogenous Security and Safety(ESS)theory

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MdSA: Security scheduling mechanism for a reliable SdN control layer based on mimic defense

MDSA: Security scheduling mechanism for a reliable SDN contr...

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International Conference on Intelligent Computing, Communication and devices, ICCd 2017

作者： Zeyu, Gu Xingming, Zhang Qing, Mu National Digital Switching System Engineering & Technological R&D Center Zhengzhou China National Defense University Beijing China

ISBN: (纸本)9789811089435

Aiming at the single-point vulnerability such as tampering attack of SdN controllers, current solutions have passive defense defects and cannot solve the security problem of control layer fundamentally. Combined with state-of-the-art moving target defense, cyber mimic defense, and other active defense technologies, we present a security scheduling mechanism with heterogeneous redundant structure, which provides system dynamics and diversity for improved security. We also consider the load factor while designing the scheduling algorithm in our model, thus transforming it into a dynamic optimization problem. Several solutions are compared in terms of anti-attack capability, and simulation results show that proactive scheduling strategies can obviously improve system security as dynamic and diversity properties block the adversary’s attack process. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Scheduling algorithms

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