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Driver injury severity analysis of crashes in a western China’s rural mountainous county:Taking crash compatibility difference into consideration

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Journal of traffic and Transportation Engineering(English Edition) 2021年第5期8卷 703-714页

作者： Liyang Wang Ruimin Li Changjun Wang Zhiyong Liu key laboratory of the ministry of public security for road traffic safety Ministry of Public SecurityWuxi 214151China traffic Management Research Institute of the ministry of public security Wuxi 214151China Institute of Transportation Engineering Department of Civil EngineeringTsinghua UniversityBeijing 100084China

China’s traffic safety attracts increasing research *** data show that crashes in the western region of China are more severe than those in the eastern ***,research on crash severity in western China is *** study applied a hierarchical Bayesian logistic model to examine the significant factors related to crash and vehicle/driver levels and their heterogeneous impacts on the severity of drivers’ *** data were collected from Lintao,a rural mountainous county in western China.A variable was proposed to measure the relative difference between the crashworthiness of one vehicle and the aggressivity of the other vehicle in the mixed traffic *** indicated that the majority of the total variance was induced by between-crash variance,showing the suitability of the utilized hierarchical modeling *** crash-level variable and six vehicle/driver-level variables,namely,road type,compatibility difference,age,vehicle type,drunk driving,driving unregistered vehicle,and driving years,significantly affected modeling drivers’ injury *** these variables,road type(national and provincial),age(young and senior drivers),driving unregistered vehicle,and drunk driving tended to increase the odds of crash-related *** years(new drivers with less than six years of driving experience) and vehicle type(heavy vehicle) were likely to decrease the probability of fatal *** difference was relatively significant,and the possibilities of mortality in single vehicle crashes were higher than those inmultivehicle and pedestrian-involved *** developed methodology and estimation results provided insights into the internal mechanism of rural crashes and effective countermeasures to prevent rural crashes.

关键词： Transportation engineering Driver injury severity Western China rural mountainous county traffic crash Hierarchical model Bayesian inference

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An efficient quantum proactive incremental learning algorithm

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 49-57页

作者： Lingxiao Li Jing Li Yanqi Song Sujuan Qin Qiaoyan Wen Fei Gao State key laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications School of Cyberspace security Beijing University of Posts and Telecommunications

In scenarios where a large amount of data needs to be learned, incremental learning can make full use of old knowledge, significantly reduce the computational cost of the overall learning process, and maintain high performance. In this paper, taking the MaxCut problem as our example, we introduce the idea of incremental learning into quantum computing, and propose a Quantum Proactive Incremental Learning algorithm(QPIL). Instead of a one-off training of quantum circuit, QPIL contains a multi-phase training on gradually-increased subgraphs of all vertices, proactively reducing large-scale problems to smaller ones to solve in steps, providing an efficient solution for MaxCut. Specifically, some vertices and corresponding edges are randomly selected for training to obtain optimized parameters of the quantum circuit at first. Then, in each incremental phase, the remaining vertices and corresponding edges are gradually added and the parameters obtained from the previous phase are reused in the parameter initialization of the current phase. We perform experiments on 120 different small-scale graphs, and it shows that QPIL performs superior to prevalent quantum and classical baselines in terms of approximation ratio(AR), time cost, anti-forgetting, and solving stability. In particular, QPIL's AR surpasses 20% of mainstream quantum baselines, and the time cost is less than 1/5 of them. The idea of QPIL is expected to inspire efficient and high-quality solutions in large-scale Max Cut and other combinatorial optimization problems.

关键词： variational quantum algorithm incremental learning multi-phase training MaxCut quantum computing

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Electrocatalytic cleavage of a lignin β-O-4 model compound and coupling with nitrogen-containing aromatics using Prussian blue analogue-derived nickel–cobalt spinel

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Journal of Energy Chemistry 2025年第1期100卷 628-636页

作者： Yi Qi Xueying Chen Bowen Liu Xuliang Lin Xueqing Qiu Yanlin Qin Guangdong Provincial key laboratory of Plant Resources Biorefinery School of Chemical Engineering and Light Industry Guangdong University of Technology Guangdong Provincial laboratory of Chemistry and Fine Chemical Engineering Jieyang Center Guangdong Basic Research Center of Excellence for Ecological security and Green Development Guangdong University of Technology

Electrochemical conversion of lignin for the production of high-value heterocyclic aromatic compounds has great *** demonstrate the targeted synthesis and cation modulation of NiCo2O4spinel nanoboxes,synthesized via cation exchange and calcination *** catalysts exhibit excellent efficacy in the electrocatalytic conversion of lignin model compounds,specifically 2-phenoxy-1-phenylethanol,into nitrogen-containing aromatics,achieving high conversion rates and *** catalysts were synthesized via a cation exchange and calcination oxidation process,using Prussian blue nanocubes as *** porous architecture and polymetallic composition of the NiCo2O4spinel demonstrated superior performance in electrocatalytic oxidative coupling,achieving a 99.2 wt%conversion rate of the 2-phenoxy-1-phenylethanol with selectivities of 37.5 wt%for quinoline derivatives and 31.5 wt%for *** innovations include the development of a sustainable one-pot synthesis method for quinoline derivatives,the elucidation of a multistage reaction pathway involving CAO bond cleavage,hydroxyaldol condensation,and CAN bond formation,and a deeper mechanistic understanding derived from DFT *** work establishes a new strategy for lignin valorization,offering a sustainable route to produce high-value nitrogen-containing aromatics from renewable biomass under mild conditions,without the need for additional reagents.

关键词： Spinel Biomass valorization Electrocatalysis Lignin oxidation Coupling

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An Efficient and Practical public key Cryptosystem with CCA-security on Standard Model

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Tsinghua Science and Technology 2014年第5期19卷 486-495页

作者： Zhen Liu Xiaoyuan Yang Weidong Zhong Yiliang Han Department of Network and Information security key laboratory Engineering University of the Armed PoliceForce

Chosen Ciphertext Attack （CCA） security on the standard model is widely accepted as the standard security notion for the public key cryptosystem. The existing CCA-secure public key cryptosystems on the standard model are expensive in terms of efficiency and practicality. In this paper, an efficient and practical public key cryptosystem is presented over the group of signed quadratic residues. It is provably secure against CCA on the standard model. Furthermore, public verifiability for this scheme is also realized in the way that projects the verification privacy key into public key on trapdoor pretending. It will be useful to devise efficient CCA-secure threshold and proxy re-encryption schemes on the standard model.

关键词： public key cryptosystem standard model Chosen Ciphertext Attack (CCA)-security public verifiability

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key Management for Outsourced Data security

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Wuhan University Journal of Natural Sciences 2014年第5期19卷 449-454页

作者： PEI Bei CHEN Changsong WAN Changsheng The Third Research Institute of ministry of public security School of Information Science and Engineering Southeast University

This paper analyzes the efficiency and security of bi- linear-map-based schemes and brings about an AAA based publicly auditable scheme for cloud computing, which is much more efficient. In this scheme, a trust model including four entities is designed to provide both integrity and confidentiality protection. The proposed scheme can be proved to achieve the security goals that no cheating cloud server can pass the auditing without storing users＇ data intact. The efficiency of the proposal is evaluated by analyzing the fulfillment of the design goals, including the computation cost, communication cost and storage cost of our scheme. This light weight publicly auditable Proof-of-storage scheme achieves security goals perfectly, and has an excellent efficiency performance superior to the current bilinear-map-based publicly auditable Proof-of-storage scheme.

关键词： cloud computing malicious cloud server key management

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Research on theory and key technology of trusted computing platform security testing and evaluation

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Science China(Information Sciences) 2010年第3期53卷 434-453页

作者： ZHANG HuanGuo1,2, YAN Fei1,2, FU JianMing1,2, XU MingDi1,2, YANG Yang1,2, HE Fan1,2 & ZHAN Jing1,2 1School of Computer, Wuhan University, Wuhan 430072, China 2key laboratory of Aerospace Information security and Trusted Computing, ministry of Education, Wuhan 430072, China 1. School of Computer Wuhan University Wuhan 430072 China2. Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education Wuhan 430072 China

Trusted computing has become a new trend in the area of international information security, and the products of trusted computing platform begin to be used in application. Users will not use the products of information security, unless it goes through the testing and evaluation. Here we concentrate on the testing and evaluation problem of trusted computing platform, begin with constructing proper formalization model of trusted computing platform for testing, and establish a mathematical chain of trust model based on SPA. Moreover, we give a verification method of composite characteristics and find the potential factors threatening the trusted system in the process of remote attestation through analysis. For trusted software stack, we study the problem of automatic generation of test case and propose an improved method of generating the random test case, to raise the quality of test case. Finally, we give a prototype system of trusted computing platform and the actual test data related. The result demonstrates that there exist some flaws in the architecture of the present TCG computing platform. At the same time, some flaws are found in the products of existing trusted computing platform, thus a basis is laid for the improvement and development of trusted platform technology and its products.

关键词： information security trusted computing trusted computing platform testing and evaluation

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Chinese Cyber Threat Intelligence Named Entity Recognition via RoBERTa-wwm-RDCNN-CRF

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Computers, Materials & Continua 2023年第10期77卷 299-323页

作者： Zhen Zhen Jian Gao School of Information Network security People’s Public Security University of ChinaBeijing100038China key laboratory of safety Precautions and Risk Assessment Ministry of Public SecurityBeijing102623China

In recent years,cyber attacks have been intensifying and causing great harm to individuals,companies,and *** mining of cyber threat intelligence(CTI)can facilitate intelligence integration and serve well in combating cyber *** Entity Recognition(NER),as a crucial component of text mining,can structure complex CTI text and aid cybersecurity professionals in effectively countering ***,current CTI NER research has mainly focused on studying English *** the limited studies conducted on Chinese text,existing models have shown poor *** fully utilize the power of Chinese pre-trained language models(PLMs)and conquer the problem of lengthy infrequent English words mixing in the Chinese CTIs,we propose a residual dilated convolutional neural network(RDCNN)with a conditional random field(CRF)based on a robustly optimized bidirectional encoder representation from transformers pre-training approach with whole word masking(RoBERTa-wwm),abbreviated as *** are the first to experiment on the relevant open source dataset and achieve an F1-score of 82.35%,which exceeds the common baseline model bidirectional encoder representation from transformers(BERT)-bidirectional long short-term memory(BiLSTM)-CRF in this field by about 19.52%and exceeds the current state-of-the-art model,BERT-RDCNN-CRF,by about 3.53%.In addition,we conducted an ablation study on the encoder part of the model to verify the effectiveness of the proposed model and an in-depth investigation of the PLMs and encoder part of the model to verify the effectiveness of the proposed *** RoBERTa-wwm-RDCNN-CRF model,the shared pre-processing,and augmentation methods can serve the subsequent fundamental tasks such as cybersecurity information extraction and knowledge graph construction,contributing to important applications in downstream tasks such as intrusion detection and advanced persistent threat(APT)attack detection.

关键词： Cybersecurity cyber threat intelligence named entity recognition

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A New Method for Estimating Lithium‑Ion Battery State‑of‑Energy Based on Multi‑timescale Filter

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Automotive Innovation 2023年第4期6卷 611-621页

作者： Guangming Zhao Wei Xu Yifan Wang road traffic safety Research Center of the ministry of public security Beijing 100068China China Automotive Engineering Research Institute Co. LtdChongqing 401120China

Accurate estimation of the state-of-energy(SOE)in lithium-ion batteries is critical for optimal energy management and energy optimization in electric ***,the conventional recursive least squares(RLS)algorithm struggle to track changes in battery model parameters under dynamic *** address this,a multi-timescale estimator is proposed.A variable forgetting factor RLS approach is used to determine the model parameters at a macro timescale,and the H infinity filter is utilized to estimate the SOE at a micro *** proposed algorithm is verified and analyzed and shown to have accurate and robust identification of battery model ***,experiments under dynamic cycles demonstrate that the proposed algorithm has a high level of accuracy for SOE estimation.

关键词： Forgetting factor State-of-energy Multi-timescale Lithium-ion battery

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Fine Grained Feature Extraction Model of Riot-related Images Based on YOLOv5

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Computer Systems Science & Engineering 2023年第4期45卷 85-97页

作者： Shaofan Su Deyu Yuan Yuanxin Wang Meng Ding Department of Information Cyber security People’s Public Security University of ChinaBeijing100038China key laboratory of safety Precautions and Risk Assessment Ministry of Public SecurityBeijing102623China public security Behavioral Science laboratory People’s Public Security University of ChinaBeijing102623China

With the rapid development of Internet technology,the type of information in the Internet is extremely complex,and a large number of riot contents containing bloody,violent and riotous components have *** contents pose a great threat to the network ecology and national *** a result,the importance of monitoring riotous Internet activity cannot be *** Neural Network(CNN-based)target detection algorithm has great potential in identifying rioters,so this paper focused on the use of improved backbone and optimization function of You Only Look Once v5(YOLOv5),and further optimization of hyperparameters using genetic algorithm to achieve fine-grained recognition of riot image ***,the fine-grained features of riot-related images were identified,and then the dataset was constructed by manual ***,the training and testing work was carried out on the constructed dedicated dataset by supervised deep learning *** research results have shown that the improved YOLOv5 network significantly improved the fine-grained feature extraction capability of riot-related images compared with the original YOLOv5 network structure,and the mean average precision(mAP)value was improved to ***,it provided strong support for combating riot-related organizations and maintaining the online ecological environment.

关键词： Convolutional neural network YOLOv5 riot-related fine grained target detection

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SensFL:Privacy-Preserving Vertical Federated Learning with Sensitive Regularization

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 385-404页

作者： Chongzhen Zhang Zhichen Liu Xiangrui Xu Fuqiang Hu Jiao Dai Baigen Cai Wei Wang School of Automation and Intelligence Beijing Jiaotong UniversityBeijing100044China Shuohuang Railway Development Co. Ltd.National Energy GroupCangzhou062350China Beijing key laboratory of security and Privacy in Intelligent Transportation School of Computer Science and TechnologyBeijing Jiaotong UniversityBeijing100044China

In the realm of Intelligent Railway Transportation Systems,effective multi-party collaboration is crucial due to concerns over privacy and data *** Federated Learning(VFL)has emerged as a promising approach to facilitate such collaboration,allowing diverse entities to collectively enhance machine learning models without the need to share sensitive training ***,existing works have highlighted VFL’s susceptibility to privacy inference attacks,where an honest but curious server could potentially reconstruct a client’s raw data from embeddings uploaded by the *** vulnerability poses a significant threat to VFL-based intelligent railway transportation *** this paper,we introduce SensFL,a novel privacy-enhancing method to against privacy inference attacks in ***,SensFL integrates regularization of the sensitivity of embeddings to the original data into the model training process,effectively limiting the information contained in shared *** reducing the sensitivity of embeddings to the original data,SensFL can effectively resist reverse privacy attacks and prevent the reconstruction of the original data from the *** experiments were conducted on four distinct datasets and three different models to demonstrate the efficacy of *** results show that SensFL can effectively mitigate privacy inference attacks while maintaining the accuracy of the primary learning *** results underscore SensFL’s potential to advance privacy protection technologies within VFL-based intelligent railway systems,addressing critical security concerns in collaborative learning environments.

关键词： Vertical federated learning privacy defenses

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