Research on network attack analysis method based on attack graph of absorbing Markov chain by Haiyan KANG, Molan LONG

“…Existing intrusion path studies based on attack graph lack consideration of factors other than basic network environment information when calculating the state transition probability.In order to analyze the security of target network comprehensively and reasonably, a network attack analysis method based on attack graph of absorbing Markov chain was proposed.Firstly, a state transition probability normalization algorithm based on vulnerability life cycle was proposed based on attack graph.Secondly, the attack graph was mapped to the absorbing Markov chain and the state transition probability matrix was given.Finally, the state transition probability matrix was calculated to comprehensively analyze the node threat degree, attack path length and expected impact of the target network.The results show that the proposed method can effectively analyze the expected influence of node threat degree, attack path length and vulnerability life cycle on the whole network, which is helpful for security research personnel to better understand the security state of the network.…”
Get full text

A Semi-analytical Calculation Method for Time-varying Meshing Stiffness and Transmission Error of Spiral Bevel Gear by Liao Ping, Wei Jing, Zhang Aiqiang, Zhang Weiqing

“…The meshing stiffness of single node was introduced into the traditional calculation method, and the meshing stiffness of each node on the working tooth surface is superimposed to obtain single tooth meshing stiffness, the calculation accuracy is higher. …”
Get full text

Identifying vital spreaders in large-scale networks based on neighbor multilayer contributions by Weiwei Zhu, Xuchen Meng, Jiaye Sheng, Dayong Zhang

“…This method combines the count of common neighbors with the K-shell value of each node to produce its ranking. By integrating these two factors, our approach aims to offer a more precise measure of a node's influence within a network.ResultsExtensive experiments were conducted using Kendall’s rank correlation, monotonicity tests, and the Susceptible-Infected-Recovered (SIR) epidemic model on real-world networks. …”
Get full text

Exploring the Spatial Spillovers of Digital Finance on Urban Innovation and Its Synergy with Traditional Finance by Xiaoling Song, Xuan Qin, Wanmeng Wang, Rita Yi Man Li

“…Moreover, the evidence of spatial spillover proves that innovations in node cities influence neighboring regions. This paper contributes to the interaction between digital finance and urban innovation with new insights. …”
Get full text

The Predictive and Prognostic Factors in Patients with Gastric Cancer Accompanied by Gastric Outlet Obstruction by Hongliang Zu, Huiling Wang, Chunfeng Li, Wendian Zhu, Yingwei Xue

“…In the univariate analysis, curability, GOO, age, prealbumin, albumin, hemoglobin (Hb), the tumor size, the macroscopic type, lymph node metastasis, and the depth of invasion had a statistically significant influence on prognosis. …”
Get full text

Active Control for Multinode Unbalanced Vibration of Flexible Spindle Rotor System with Active Magnetic Bearing by Xiaoli Qiao, Guojun Hu

“…The unbalanced vibration of all nodes on the whole spindle rotor is used as the control objective function to achieve optimal control. …”
Get full text

Redundancy Model and Boundary Effects Based Coverage-Enhancing Algorithm for 3D Underwater Sensor Networks by Junjie Huang, Lijuan Sun, Xun Wei, Peng Sun, Haiping Huang, Ruchuan Wang

“…In the study of three-dimensional underwater sensor networks, the nodes would produce changes in perception range under the influence of environmental factors and their own hardware. …”
Get full text

Link Prediction in Complex Hyper-Networks Leveraging HyperCentrality by Y. V. Nandini, T. Jaya Lakshmi, Murali Krishna Enduri, Mohd Zairul Mazwan Jilani

“…Each node within a network holds a distinct level of importance, which can influence the likelihood of link formation among its neighbors. …”
Get full text

An Energy-Efficient MAC Protocol Employing Dynamic Threshold for Wireless Sensor Networks by Kyung Tae Kim, Hee Yong Youn

“…Energy efficiency is a critical issue for sensor network since the network lifetime depends on efficient management of the energy resource of sensor nodes. Particularly, designing energy efficient MAC protocol has a significant influence on the performance of wireless sensor network with regards to the energy. …”
Get full text

Energy Optimal Configuration Strategy of Distributed Photovoltaic Power System for Multi-Level Distribution Network by Yanmin Wang, Hanqing Zhang, Weiqi Zhang, Song Han, Yuzhuo Yang

“…Taking a typical PV-participating distribution system as an example, the study provides a detailed description of the typical three-layer distribution network structure and deduces the relationship of the PV, node voltage, and node voltage deviation. The study verifies the accuracy and practical value of the proposed simplified framework through real-time monitoring simulation of node voltages and line losses. …”
Get full text

Analysis of link interruption characteristics in the DTN by LI Yun, WANG Xiao-ying, LIU Zhan-jun, ZHOU Ya-hui

“…By finding common recovery time of two-node, the rules was got- ten that connectivity characteristic of the wireless networks with changes over time.…”
Get full text

Scheduling strategy for achieving locality in cluster by Ping GUO, Li-jiang NING, Hai-zhu CHEN

“…The data locality is divided into two levels.One is called the node data locality,which placing tasks on nodes that contain their input data.The other one is called the rack data locality,which placing tasks on nodes whose rack contains their input data.A new scheduling strategy called DDRF is proposed which combines the DRF and the delay.The DDRF is not only able to meet high locality but also achieve fairness.In the DDRF,the simulation results show the influence on the efficiency of jobs’ implement.…”
Get full text

Research on 2.4 GHz Wireless Channel Propagation Characteristics in a Steel Ship Cabin by Wanli Tu, Hong Xu, Yiqun Xu, Qiubo Ye, Mingxian Shen

“…The simulated and experimental results are processed and compared; the influence law of large obstacles on the signal is discussed, and the guidance scheme for node and base station deployment of the wireless sensor network is proposed. …”
Get full text

GTAT: empowering graph neural networks with cross attention by Jiahao Shen, Qura Tul Ain, Yaohua Liu, Banqing Liang, Xiaoli Qiang, Zheng Kou

“…This integration allows the model to dynamically adjust the influence of node features and topological information, thus improving the expressiveness of nodes. …”
Get full text

Meta-analysis of the clinicopathologic features of endometrial cancer molecular staging by Xiaoxia Yin, Xiaoxia Yin, Bing Luo, Bing Luo, Yong Li, Yong Li

“…Therefore, a meta-analysis of articles related to the clinicopathological features of molecular typing was performed to observe how the prevalence of the four subgroups varied across different pathological features and whether they were associated with certain specific pathological features and to understand how molecular typing may influence current pathological assessments.MethodsPubMed, Embase, Web of Science, CNKI, Wanfang, and VIP were searched from the time of library construction until May 2024, and the following data were extracted: histological type, FIGO grade, FIGO stage, LVSI, depth of muscularis propria infiltration, and lymph node status of each TCGA group. …”
Get full text

Analysis of the Effect of Shaft Angle on Dynamic Characteristic of the Split Torque Transmission System with Herringbone gear by Cao Jianfeng, Chen Zhigang, Chen Siyu, Tang Jinyuan

“…The research shows that shaft angles have a great influence on the dynamic characteristics of the system,when the shaft angle is different,the frequency domain distribution of system dynamic response is very different,at different speeds,the shaft angle has different influence on the dynamic load coefficient and dynamic response.…”
Get full text

THE SUBMODELING METHOD ANALYSIS ON POST-BUCKLING WEAR PREDICTION OF COMPRESSION COILED TUBING IN WELLBORE (MT) by LI Gang, SUN GuoHao, LIN Liang, YUE QianBei, ZHANG Qiang, WANG Gang

“…The removal process of material on the surface of coiled tubing was described by moving contact boundary node method to avoid mesh distortion.The wear of various compressive loads and annulus clearance are predicted.The results show that the coiled tubing is subjected to sinusoidal buckling and the wear parts are few, and the compression load and annular clearance have little influence on the wear of the coiled tubing.There are many and continuous wear parts in coiled tubing with spiral buckling, and the compression load and annulus clearance have great influence on the wear of coiled tubing This paper provides a calculation method for quantitative prediction of wear of buckling coiled tubing in wellbore.…”
Get full text

Telecom intelligent operation system based on big data grid by Yunfeng GUO, Heng CAI, Lei GE

“…Based on the advantages of telecom big data platform,the self-learning operation mode of artificial intelligence was utilized innovatively.The operational status of each IT system nodes were actively perceived by collecting and analyzing the massive log data of IT system.The influence,health and dependence of each IT system nodes were visualized by intelligent graph calculation and grid nebulae graph.The intelligent prediction of node failure was realized by Keras deep learning framework,and the big data grid intelligent operation system of telecom IT system was built.…”
Get full text

Parish schools of the Olonets diocese in the 19th – early 20th centuries by Pulkin Maxim Viktorovich

Get full text

A Tri-Attention Neural Network Model-BasedRecommendation by Nanxin Wang, Libin Yang, Yu Zheng, Xiaoyan Cai, Xin Mei, Hang Dai

“…Heterogeneous information network (HIN), which contains various types of nodes and links, has been applied in recommender systems. …”
Get full text