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Research, development and application of compound-vertical-retort technology for magnesium production

Journal of Magnesium and Alloys 2023年第12期11卷 4724-4736页

作者： Rongbin Li Shaojun Zhang Peixu Yang Jinhui Liu Fengqin Liu School of Metallurgical and Ecological Engineering University of Science and Technology BeijingBeijing 100083China School of Material Science and Engineering Zhengzhou UniversityZhengzhouHenan 450001China

This paper comprehensively introduces a new magnesium production technology the compound-vertical-retort technology, involving in the related fundamental researches, core equipment development, working flow, and technical characteristics. Scale-up test and an annual1200-ton-magnesium demonstration-level test was conducted to confirm the rationality, reliability, and advancement of the equipment, system and process design. It is indicated that the new technology solved a series of problems of traditional silicothermic process including adhesion and glaze, short life of retort, low efficiency, high impurity of crystallized magnesium, large heat losses, and poor working environment,making a great technological breakthrough in this field. Representatively, the new well-designed ceramic-lined steel retort serves 2~3 times in life than the normal retorts. The magnesium yield per retort is improved 4~5 times, with purity of >99.8%. The energy consumption in reduction stage is reduced by more than 20%. The mechanical production is fully realized and operating environment is significantly improved.

关键词： Silicothermic process Magnesium Compound retort Vertical retort Mechanization

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Scalable Transactional Stream Processing on Multicore Processors

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IEEE Transactions on Knowledge and Data Engineering 2025年第07期37卷 4254-4269页

作者： Zhao, Jianjun Mao, Yancan Yang, Zhonghao Liu, Haikun Zhang, Shuhao Huazhong University of Science and Technology National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Wuhan5430074 China National University of Singapore 119077 Singapore Nanyang Technological University 639798 Singapore

Transactional stream processing engines (TSPEs) are central to modern stream applications handling shared mutable states. However, their full potential, particularly in adaptive scheduling, remains largely unexplored. We present MorphStream, a TSPE designed to optimize parallelism and performance for transactional stream processing on multicores. Through a unique three-stage execution paradigm (i.e., planning, scheduling, and execution), MorphStream enables adaptive scheduling under varying workload characteristics. Building on this foundation, MorphStream is further enhanced with support for non-deterministic state access, employing a stateful task precedence graph to handle undefined read/write sets at runtime while guaranteeing transaction semantics. Additionally, MorphStream incorporates a generalized framework for managing window-based operations, enabling efficient tracking and maintenance of overlapping windows using multi-versioned state management. These extensions enhance the system's ability to process dynamic and irregular workloads. Experimental results demonstrate up to 3.4 times higher throughput and 69.1% lower latency compared to state-of-the-art TSPEs, validating its scalability and adaptability in real-world streaming scenarios. © 1989-2012 IEEE.

关键词： Multicore programming

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Fluorescence in situ hybridization cell image segmentation method

Fluorescence in situ hybridization cell image segmentation m...

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3rd International Conference on Biomedicine and Bioinformatics Engineering, ICBBE 2023

作者： Shi, Lemin Feng, Xin Yue, Ming Song, Dianxin School of Computer Science and Technology Changchun University of Science and Technology Changchun130022 China School of Life Science and Technology Changchun University of Science and Technology Changchun130022 China

ISBN: (纸本)9781643684321

Fluorescence in situ hybridization (FISH) is a molecular cytogenetic technique that provides reliable imaging biomarkers for the diagnosis of cancer and genetic diseases at the cellular level. An important prerequisite for identifying cancer cells in FISH images is the accurate segmentation of cells to quantify the DNA/RNA signal within each cell. However, FISH images often have problems such as low contrast, unclear cell boundaries, and potential cell defects, which hinder the complete identification and effective segmentation of cells. Therefore, this paper proposes a cell image segmentation method for fluorescence in situ hybridization. First, an improved adaptive histogram equalization is used to enhance the image. Then, the watershed segmentation method is used to calculate the optimal segmentation feature value, which is used as the seed point of the watershed method. The proposed method was applied to segment 273 cells from 5 images of leukemia cells, with a detection rate of 99% and an effectiveness of 94.5%. The results showed that the fluorescence in situ hybridization cell image segmentation method can accurately segment cells, and has a high detection rate and effectiveness. © 2023 IOS Press. All rights reserved.

关键词： Cells

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A bytecode-based integrated detection and repair method for reentrancy vulnerabilities in smart contracts

IET Blockchain

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IET Blockchain 2024年第3期4卷 235-251页

作者： Feng, Zijun Feng, Yuming He, Hui Zhang, Weizhe Zhang, Yu School of Cyberspace Science Harbin Institute of Technology Harbin China School of Computer Science and Technology Harbin Institute of Technology Shenzhen China Department of New Networks Peng Cheng Laboratory Shenzhen China Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies Shenzhen China

The reentrancy vulnerability in smart contracts has caused significant losses in the digital currency economy. Existing solutions for detecting and repairing this vulnerability are limited in scope and lack a comprehensive framework. Additionally, there is currently a lack of guidance methods for effectively pinpointing the location of vulnerabilities. The proposed bytecode-level method addresses these challenges by incorporating a detection module, an auxiliary localization module, and a repair module. An opcode classification method is introduced using vulnerability features and a BiLSTM-Attention-based sequence model to enhance detection accuracy. To overcome difficulties in vulnerability localization, an auxiliary localization method based on data flow and control flow analysis is proposed, enabling developers to better locate vulnerabilities. Current reentrancy vulnerability repair methods are analyzed and strategies for three reachable patterns are proposed. The bytecode rewriting strategy utilizes Trampoline technology for repair, while a fuel optimization method reduces bytecode generation length to optimize gas costs. Through extensive experimental validation, the effectiveness and superiority of the proposed methods are confirmed, further validating the feasibility of the entire framework. Experimental results demonstrate that the framework offers enhanced protection against reentrancy vulnerability attacks in smart contracts. © 2023 The Authors. IET Blockchain published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and technology.

关键词： Smart contract

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Blockchain-Based Patient-to-Individual Secure Medical Data Sharing 21

Blockchain-Based Patient-to-Individual Secure Medical Data S...

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21st International computer Conference on Wavelet Active Media technology and Information Processing, ICCWAMTIP 2024

作者： Shahzad, Ali Qiao, Liu Wenyu, Chen Narejo, Attaullah School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu Chengdu611731 China

ISBN: (纸本)9798331519254

Sharing personal health data between individuals, particularly during global health crises (such as epidemics), raises significant security and privacy risks. Traditional centralized health data-sharing methods have failed to provide secure data management, encouraging health professionals to seek more robust solutions. This paper addresses the need for safe, anonymous, decentralized medical data sharing between individuals. Our proposed approach uses decentralized blockchain technology for data integrity, immutability, transparent audits, and cloud storage for scalable and secure access. Cryptographic techniques provide secure key exchange and session authentication for data privacy. The proposed framework allows secure peer-to-peer sharing of medical data while maintaining privacy, scalability, and security during critical situations. © 2024 IEEE.

关键词： Electronic health record

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An approach for traffic pattern recognition integration of ship AIS data and port geospatial features

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地球空间信息科学学报（英文版） 2024年第6期27卷中插17,2048-2075页

作者： Gaocai Li Xinyu Zhang Lingling Jiang Chengbo Wang Ruining Huang Zhensheng Liu Maritime Intelligent Transportation Research Team Navigation CollegeDalian Maritime UniversityDalianChina College of Environmental Science and Engineering Dalian Maritime UniversityDalianChina Department of Automation School of Information Science and TechnologyUniversity of Science and Technology of ChinaHefeiChina Maritime Intelligent Transportation Research Team Navigation CollegeDalian Maritime UniversityDalianChina

Recognition of ship traffic patterns can provide insights into the rules of navigation,maneuver-ing,and collision avoidance for ships at *** is essential for ensuring safe navigation at sea and improving navigational *** the popularization of the Automatic Identification System(AIS),numerous studies utilized ship trajectories to identify maritime traffic ***,the current research focuses on the spatiotemporal behavioral feature clustering of ship trajectory points or segments while lacking consideration for multiple factors that influ-ence ship behavior,such as ship static and maritime geospatial features,resulting in insufficient precision in ship traffic pattern *** study proposes a ship traffic pattern recogni-tion method that considers multi-attribute trajectory similarity(STPMTS),which considers ship static feature,dynamic feature,port geospatial feature,as well as semantic relationships between these ***,A ship trajectory reconstruction method based on grid compres-sion was introduced to eliminate redundant data and enhance the efficiency of trajectory similarity ***,to quantify the degree of similarity of ship trajectories,a trajectory similarity measurement method is proposed that combines ship static and dynamic information with port geospatial ***,trajectory clustering with hierarchical methods was applied based on the trajectory similarity matrix for dividing trajectories into different *** quality of the similarity measurement results was evaluated by quality criterion to recognize the optimal number of ship traffic ***,the effectiveness of the proposed method was verified using actual port ship trajectory data from the Tianjin Port of china,ranging from September to November *** with other methods,the proposed method exhibits significant advantages in identifying traffic patterns of ships enter-ing and leaving the port in terms of

关键词： Ship traffic pattern Automatic Identification System(AIS) geospatial features semantic relationships trajectory similarity measurement hierarchical clustering

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A Novel Smart Beta Optimization Based on Probabilistic Forecast

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computers, Materials & Continua 2023年第4期75卷 477-491页

作者： Cheng Zhao Shuyi Yang Chu Qin Jie Zhou Longxiang Chen School of Economics Zhejiang University of TechnologyHangzhou310023China School of Computer Science Zhejiang University of TechnologyHangzhou310023China School of Management Zhejiang University of TechnologyHangzhou310023China School of Marxism Zhejiang Chinese Medical UniversityHangzhou310053China Informatization Office Zhejiang University of TechnologyHangzhou310023China

Rule-based portfolio construction strategies are rising as investmentdemand grows, and smart beta strategies are becoming a trend amonginstitutional investors. Smart beta strategies have high transparency, lowmanagement costs, and better long-term performance, but are at the risk ofsevere short-term declines due to a lack of Risk Control tools. Although thereare some methods to use historical volatility for Risk Control, it is still difficultto adapt to the rapid switch of market styles. How to strengthen the RiskControl management of the portfolio while maintaining the original advantagesof smart beta has become a new issue of concern in the industry. Thispaper demonstrates the scientific validity of using a probability prediction forposition optimization through an optimization theory and proposes a novelnatural gradient boosting (NGBoost)-based portfolio optimization method,which predicts stock prices and their probability distributions based on non-Bayesian methods and maximizes the Sharpe ratio expectation of positionoptimization. This paper validates the effectiveness and practicality of themodel by using the Chinese stock market, and the experimental results showthat the proposed method in this paper can reduce the volatility by 0.08 andincrease the expected portfolio cumulative return (reaching a maximum of67.1%) compared with the mainstream methods in the industry.

关键词： NGBoost portfolio optimization probabilistic prediction financial trading

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Face animation based on multiple sources and perspective alignment

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虚拟现实与智能硬件（中英文） 2024年第3期6卷 252-266页

作者： Yuanzong MEI Wenyi WANG Xi LIU Wei YONG Weijie WU Yifan ZHU Shuai WANG Jianwen CHEN School of Information and Communication Engineering University of Electronic Science and Technology of ChinaChengdu 611731China Yangtze Delta Region Institute(Quzhou) University of Electronic Science and Technology of ChinaQuzhou 324000China

Background Face image animation generates a synthetic human face video that harmoniously integrates the identity derived from the source image and facial motion obtained from the driving *** technology could be beneficial in multiple medical fields,such as diagnosis and privacy *** studies on face animation often relied on a single source image to generate an output *** a significant pose difference between the source image and the driving frame,the quality of the generated video is likely to be suboptimal because the source image may not provide sufficient features for the warped feature *** In this study,we propose a novel face-animation scheme based on multiple sources and perspective alignment to address these *** first introduce a multiple-source sampling and selection module to screen the optimal source image set from the provided driving *** then propose an inter-frame interpolation and alignment module to further eliminate the misalignment between the selected source image and the driving *** The proposed method exhibits superior performance in terms of objective metrics and visual quality in large-angle animation scenes compared to other state-of-the-art face animation *** indicates the effectiveness of the proposed method in addressing the distortion issues in large-angle animation.

关键词： Face animation Multiple-source driving Generative adversarial network Medical diagnostics

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Research on Prediction of Medical & IT Sectors in A-shares Based on Random Forest Algorithm 5

Research on Prediction of Medical & IT Sectors in A-shares B...

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5th International Conference on computers, Information Processing and Advanced Education, CIPAE 2024

作者： Chen, Kunrui Yang, Lei Du, Shipei Zhang, Longqing Chen, Yungui Tian, Liwei School of Computer Science Guangdong University of Science and Technology Dongguan China Guangdong University of Science and Technology Dongguan Key Laboratory Industrial Software for Intelligent Manufacturing Dongguan China Guangdong University of Science and Technology Dongguan China School of Computer Science Guangdong University of Science and Technology Dongguan Key Laboratory of Kunpeng Computing Dongguan China Guangdong University of Science and Technology Dongguan Key Laboratory of Kunpeng Computing Dongguan China

ISBN: (纸本)9798331527662

This research is set against the backdrop of china's Shanghai Stock Exchange A-share market, selecting three representative stocks from each of two distinct sectors as the research objects. Leveraging the "orange" software, we employed the Random Forest model to predict the closing prices of stocks belonging to these two sectors. The findings indicate that, with respect to these two diverse sectors, the Random Forest model yielded no discernible difference in prediction outcomes. © 2024 IEEE.

关键词： Prediction models

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Comprehensive research facility for negative ion source neutral beam injection at CRAFT:design and first

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Plasma science and technology 2025年第4期27卷 1-11页

作者： Jianglong WEI Yahong XIE Yuanlai XIE Caichao JIANG Yuanzhe ZHAO Yongjian XU Yuming GU Wei YI Wei LIU Lyuyang BU Dezhi YAN Zhimin LIU Sheng LIU Junjun PAN Shiyong CHEN Ling YU Qinglong CUI Shihua SONG Yuqing CHEN Ji WANG Ling LIU Shengmin PAN Bin GUO Zhigang ZHU Na WANG Junwei XIE Yuwen YANG Tengsai ZHU Lixin YANG Yufan LI Ning TANG Qianxu WANG Huihui HONG Bo LIU Yuqian LI Yang LI Yu GU Xufeng PENG Shanhu LIU Yong WU Xiancai MENG Chundong HU Lizhen LIANG Institute of Plasma Physics Hefei Institutes of Physical ScienceChinese Academy of SciencesHefei 230031People’s Republic of China Science Island Branch of Graduate School University of Science and Technology of ChinaHefei 230026People’s Republic of China School of Nuclear Science and Engineering East China University of TechnologyNanchang 330013People’s Republic of China School of Electrical Engineering University of South ChinaHengyang 421001People’s Republic of China School of Science Shandong Jianzhu UniversityJinan 250101People’s Republic of China School of Electronic and Information Engineering Anhui Jianzhu UniversityHefei 230022People’s Republic of China Institute of Energy Hefei Comprehensive National Science CenterHefei 230031People’s Republic of China

Neutral beam injection(NBI)has been proven as a reliable heating and current drive method for fusion *** the high-energy NBI system(particle energy>150 ke V)of large-scale fusion devices,the negative ion source neutral beam injection(NNBI)system is inevitable,which can obtain an acceptable neutralization efficiency(>55%).But the NNBI system is very complex and *** explore and master the key NNBI technology for future fusion reactor in china,an NNBI test facility is under development in the framework of the Comprehensive Research Facility for Fusion technology(CRAFT).The initial goal of CRAFT NNBI facility is to achieve a 2 MW hydrogen neutral beam at the energy of 200–400 ke V for lasting 100 *** the first operation of the CRAFT NNBI facility,a negative ion source with dual RF drivers was developed and *** using the 50 keV accelerator,the long-pulse and highcurrent extractions of negative hydrogen ions have been achieved and the typical values were 55.4 keV,7.3 A(~123 A/m^(2)),105 s and 55.0 keV,14.7 A(~248 A/m^(2)),30 s,*** using the 200 keV accelerator,the megawatt-class negative hydrogen beam has also been achieved(135.9 keV,8.9 A,8 s).The whole process of the gas neutralization of negative ion beam,electric removal of residual ions,and beam transport have been demonstrated experimentally.

关键词： beam acceleration magnetic confinement fusion negative ion source neutral beam injection(Some figures may appear in colour only in the online journal)

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