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Network Centric Warfare Operational Concept and Information Fusion Technology

Zhu Lin,Zhang Xiaonan,Xu Xingjie

Strategic Study of CAE 2005, Volume 7, Issue 3,   Pages 69-73

Abstract:

This paper discusses the key content of network centric warfare.It is pointed out that the information fusion technology is one of the biggest challenges, which networkcentric warfare faces.At last, the paper analyzes the developing directions of information fusion technology for the networkcentric warfare.

Keywords： network centric warfare     operational concept     information fusion    

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Dual-Meta Network Architecture Driven by Content and Address

Yang Peng, Liu Xuan, Li Youping

Strategic Study of CAE 2022, Volume 24, Issue 4,   Pages 22-31 doi: 10.15302/J-SSCAE-2022.04.003

Abstract: which adopt content-centric principles, has also received increasing attention.is that content-centric network architecture should be seen as a development goal for the current Internetend-to-end communication to content-centric sharing.attempts to replace address-centric routing with content-centric routing, fundamentally changing theIn the dual-meta network architecture, the primary structure continues to use address-centric names,

Keywords： address-driven     content-centric     Internet architecture     dual-meta network     uniform content label    

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Node Status Monitoring of Information-Centric Internet of Things

Cui Liqun, Wu Jun

Strategic Study of CAE 2020, Volume 22, Issue 6,   Pages 121-127 doi: 10.15302/J-SSCAE-2020.06.016

Abstract:

 To manage the constantly changing network status information ofthe information-centric Internet of Things (IC-IoT), this study proposes a node status monitoring programIt first proposes a new management information base structure for recording various network node statusinformation, and adopts the naming format of information-centric networking (ICN), centering on thecontent of the network node status.

Keywords： information-centric networking，Internet of Things，node status monitoring，access control    

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Mine Warfare Equipment of 21st Century

Li Zhao

Strategic Study of CAE 2000, Volume 2, Issue 12,   Pages 1-8

Abstract:

Mine warfare is an old and traditional operational pattern which undoubtedly plays an important roleThe development of modern technology exerts great momentum to R & D of mine warfare equipment andIn this article, the role of mine warfare equipment in the military domain, the developing tendency of

Keywords： mine warfare equipment     developing tendency     antipersonnel mines     mine replacements    

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dactinomycin versus multi-course methotrexate for low-risk gestational trophoblastic neoplasia: a multi-centric

Frontiers of Medicine 2022, Volume 16, Issue 2,   Pages 276-284 doi: 10.1007/s11684-021-0855-4

Abstract: We aimed to evaluate the effectiveness and safety of single-course initial regimens in patients with low-risk gestational trophoblastic neoplasia (GTN). In this trial (NCT01823315), 276 patients were analyzed. Patients were allocated to three initiated regimens: single-course methotrexate (MTX), single-course MTX+ dactinomycin (ACTD), and multi-course MTX (control arm). The primary endpoint was the complete remission (CR) rate by initial drug(s). The primary CR rate was 64.4% with multi-course MTX in the control arm. For the single-course MTX arm, the CR rate was 35.8% by one course; it increased to 59.3% after subsequent multi-course MTX, with non-inferiority to the control (difference –5.1%, 95% confidence interval (CI) –19.4% to 9.2%, P=0.014). After further treatment with multi-course ACTD, the CR rate (93.3%) was similar to that of the control (95.2%, P=0.577). For the single-course MTX+ACTD arm, the CR rate was 46.7% by one course, which increased to 89.1% after subsequent multi-course, with non-inferiority (difference 24.7%, 95% CI 12.8%–36.6%, P<0.001) to the control. It was similar to the CR rate by MTX and further ACTD in the control arm (89.1% vs. 95.2%, P=0.135). Four patients experienced recurrence, with no death, during the 2-year follow-up. We demonstrated that chemotherapy initiation with single-course MTX may be an alternative regimen for patients with low-risk GTN.

Keywords： gestational trophoblastic neoplasia (GTN)     methotrexate (MTX)     dactinomycin (ACTD)    

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Fog Computing-Based Firewall in Information-Centric Networking

Liu Yi, Li Jianhua

Strategic Study of CAE 2020, Volume 22, Issue 6,   Pages 128-135 doi: 10.15302/J-SSCAE-2020.06.017

Abstract:

The information-centric network (ICN) provides network protocols orientedto information itself, including a content-centric subscription mechanism and semantic-led naming, routingIt has shown great potential in solving attacks on current IP address based network.Finally, by building the ndnSIM network simulation platform, this article evaluates the ICN cache hitrate and network communication delay, and verifies the feasibility and efficiency of the proposed fog

Keywords： information-centric networking     fog computing     interest flooding attack     firewall    

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Dynamic user-centric multi-dimensional resource allocation for a wide-area coverage signaling cell based Research Article

Zhou TONG, Na LI, Huimin ZHANG, Quan ZHAO, Yun ZHAO, Junshuai SUN, Guangyi LIU,tongzhou@chinamobile.com,linawx@chinamobile.com,zhanghuiminyjy@chinamobile.com

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 1,   Pages 154-163 doi: 10.1631/FITEE.2200220

Abstract: The sixth-generation wireless communication system () network is faced with more stringent and diverse, the problem of high energy consumption in the fifth-generation wireless communication system (5G) networkensure the ultimate performance requirements of users, and its effect will affect the efficiency of networkThis paper constructs a user-centric dynamic allocation model of wireless resources, and proposes a deepQ-network based dynamic resource allocation algorithm.

Keywords： 6G     Wide-area coverage signaling cell     Multi-dimensional resource allocation     Deep Q-network (DQN)    

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Mitigating microbiological risks of potential pathogens carrying antibiotic resistance genes and virulence factors in receiving rivers: Benefits of wastewater treatment plant upgrade

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 7, doi: 10.1007/s11783-023-1682-4

Abstract:

● Abundance of MAGs carrying ARG-VF pairs unchanged in rivers after WWTP upgrade.

Keywords： plant upgrade     Antibiotic resistance genes (ARGs)     Virulence factors (VFs)     Gene co-occurrence     Genome-centric    

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Analysis of complex EME(electromagnetic environment) adaptive needs for the new generation military command information system

Yao Fuqiang,Zhao Hangsheng,Lu Ruimin

Strategic Study of CAE 2012, Volume 14, Issue 2,   Pages 25-29

Abstract:

In light of our military missions and the potential electromagnetic threats for the new era, this paper summarizes the characteristics of the electromagnetic environment for information operation, focuses on analyzing the complex electromagnetic environment adaptive needs of the correlative equipment and systems closely related to the electromagnetic environment in the new-generation military command information system, and finally presents some specific recommendations for our armed forces, with academic research.

Keywords： communication anti-jamming     information operation     electronic warfare     command information system     complex    

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optimized congestion control, forwarding strategy, and link scheduling in a named-data multihop wireless network

Cheng-cheng Li, Ren-chao Xie, Tao Huang, Yun-jie Liu,lengcangche@bupt.edu.cn,renchao_xie@bupt.edu.cn,htao@bupt.edu.cn

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1573-1590 doi: 10.1631/FITEE.1601585

Abstract: As a promising future network architecture, named data networking (NDN) has been widely considered asa very appropriate network protocol for the (MWN).The problem is modeled as a network utility maximization (NUM) problem.By comparison with the existing mechanism, JOCFS can achieve a better performance in terms of network

Keywords： Information-centric networking     Congestion control     Cross-layer design     Multihop wireless network    

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Novel interpretable mechanism of neural networks based on network decoupling method

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 572-581 doi: 10.1007/s42524-021-0169-x

Abstract: The lack of interpretability of the neural network algorithm has become the bottleneck of its wide applicationdimension reduction method of high-dimensional system and reveal the calculation mechanism of the neural networkWe apply our framework to some network models and a real system of the whole neuron map of CaenorhabditisResult shows that a simple linear mapping relationship exists between network structure and network behaviorin the neural network with high-dimensional and nonlinear characteristics.

Keywords： neural networks     interpretability     dynamical behavior     network decouple    

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A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0736-9

Abstract: Recently, advanced sensing techniques ensure a large number of multivariate sensing data for intelligent fault diagnosis of machines. Given the advantage of obtaining accurate diagnosis results, multi-sensor fusion has long been studied in the fault diagnosis field. However, existing studies suffer from two weaknesses. First, the relations of multiple sensors are either neglected or calculated only to improve the diagnostic accuracy of fault types. Second, the localization for multi-source faults is seldom investigated, although locating the anomaly variable over multivariate sensing data for certain types of faults is desirable. This article attempts to overcome the above weaknesses by proposing a global method to recognize fault types and localize fault sources with the help of multi-sensor relations (MSRs). First, an MSR model is developed to learn MSRs automatically and further obtain fault recognition results. Second, centrality measures are employed to analyze the MSR graphs learned by the MSR model, and fault sources are therefore determined. The proposed method is demonstrated by experiments on an induction motor and a centrifugal pump. Results show the proposed method’s validity in diagnosing fault types and sources.

Keywords： fault recognition     fault localization     multi-sensor relations     network analysis     graph neural network    

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Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1285-1298 doi: 10.1007/s11709-020-0691-7

Abstract: This article intends to model the multiscale constitution using feedforward neural network (FNN) andrecurrent neural network (RNN), and appropriate set of loading paths are selected to effectively predict

Keywords： multiscale method     constitutive model     feedforward neural network     recurrent neural network    

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Heat, mass, and work exchange networks

Zhiyou CHEN, Jingtao WANG

Frontiers of Chemical Science and Engineering 2012, Volume 6, Issue 4,   Pages 484-502 doi: 10.1007/s11705-012-1221-5

Abstract: This review presents the main works related to each network.

Keywords： process system engineering     integration methods     heat exchange network     mass exchange network     work exchangenetwork    

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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: To address this issue, this paper explores a decision-tree-structured neural network, that is, the deepconvolutional tree-inspired network (DCTN), for the hierarchical fault diagnosis of bearings.The proposed model effectively integrates the advantages of convolutional neural network (CNN) and decision

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network    

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Title Author Date Type Operation

Network Centric Warfare Operational Concept and Information Fusion Technology

Zhu Lin,Zhang Xiaonan,Xu Xingjie

Journal Article

Dual-Meta Network Architecture Driven by Content and Address

Yang Peng, Liu Xuan, Li Youping

Journal Article

Node Status Monitoring of Information-Centric Internet of Things

Cui Liqun, Wu Jun

Journal Article

Mine Warfare Equipment of 21st Century

Li Zhao

Journal Article

dactinomycin versus multi-course methotrexate for low-risk gestational trophoblastic neoplasia: a multi-centric

Journal Article

Fog Computing-Based Firewall in Information-Centric Networking

Liu Yi, Li Jianhua

Journal Article

Dynamic user-centric multi-dimensional resource allocation for a wide-area coverage signaling cell based

Zhou TONG, Na LI, Huimin ZHANG, Quan ZHAO, Yun ZHAO, Junshuai SUN, Guangyi LIU,tongzhou@chinamobile.com,linawx@chinamobile.com,zhanghuiminyjy@chinamobile.com

Journal Article

Mitigating microbiological risks of potential pathogens carrying antibiotic resistance genes and virulence factors in receiving rivers: Benefits of wastewater treatment plant upgrade

Journal Article

Analysis of complex EME(electromagnetic environment) adaptive needs for the new generation military command information system

Yao Fuqiang,Zhao Hangsheng,Lu Ruimin

Journal Article

optimized congestion control, forwarding strategy, and link scheduling in a named-data multihop wireless network

Cheng-cheng Li, Ren-chao Xie, Tao Huang, Yun-jie Liu,lengcangche@bupt.edu.cn,renchao_xie@bupt.edu.cn,htao@bupt.edu.cn

Journal Article

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Journal Article

Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Journal Article

Heat, mass, and work exchange networks

Zhiyou CHEN, Jingtao WANG

Journal Article

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Journal Article