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3I3S:Practice in the Software Engineering Degree Granting Program at Harbin Institute of Technology 认领 引用
1
作者 Zhongjie Wang Tonghua Su +3 位作者 Shuang Yu Shuo Jin Yingxin Tian Yin Chen 《计算机教育》 2025年第3期71-79,共9页
In response to the current issues in the construction of software engineering(SE)degree granting program,such as insufficient resource integration,low level of internationalization,and inadequate quality control,we pr... In response to the current issues in the construction of software engineering(SE)degree granting program,such as insufficient resource integration,low level of internationalization,and inadequate quality control,we propose the Software Engineering Degree Granting Program Construction Practice Project at Harbin Institute of Technology(HIT).This project aims to explore new models for software talent cultivation,establish a superior SE degree granting program,and ultimately cultivate outstanding internationalized composite SE professionals to support the high-quality development of the national software industry.To this end,we design a distinctive overall construction idea and plan for the SE degree granting program,which are characterized by“3I3S:three highlights for specialized cultivation and strictness in three aspects to ensure quality control”.After years of practice and validation of the project at the School of Software at HIT,this project has proven effective in optimizing talent cultivation models,enhancing students’practical abilities,promoting international exchange and cooperation,advancing industry-education integration,and meeting industrial needs. 展开更多
关键词 Software engineering major Degree granting program construction Quality assurance system
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Intelligent Teaching Scenarios Based on Knowledge Graphs and the Integration of“Teacher-Machine-Student” 认领 引用
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作者 Yanhang Zhang Xiaohong Su +1 位作者 Yu Zhang Tiantian Wang 《计算机教育》 2026年第3期81-88,共8页
This paper delves into effective pathways for transforming course ecosystems from resource provision to knowledge service and competency development through university-enterprise collaboration in co-building knowledge... This paper delves into effective pathways for transforming course ecosystems from resource provision to knowledge service and competency development through university-enterprise collaboration in co-building knowledge graphs and intelligent shared courses.This approach enables personalized,learning-driven teaching.Based on knowledge graphs and integrated teacher-machine-student smart teaching scenarios,it not only innovates autonomous learning environments and human-computer interaction models while optimizing teaching experiences for both instructors and students,but also effectively addresses the issues of students’“scattered,superficial,and fragmented learning”.This establishes the foundation for personalized teaching tailored to individual aptitudes. 展开更多
关键词 Knowledge graphs Teacher-machine-student Smart teaching
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Innovating Talent Cultivation Through Industry-Education Integration and AI:A Case Study of the“Program Comprehension and Analysis”Course 认领 引用
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作者 Tiantian Wang Xiaohong Su +1 位作者 Yuan Jiang Liyan Song 《计算机教育》 2026年第3期74-80,共7页
This paper investigates the teaching reform of the Program Comprehension and Analysis course in the context of industry-education integration and AI empowerment.To align with the evolving needs of the software industr... This paper investigates the teaching reform of the Program Comprehension and Analysis course in the context of industry-education integration and AI empowerment.To align with the evolving needs of the software industry,the course content has been updated to incorporate AI techniques such as large language models and deep learning.The reform enriches educational resources and introduces innovative instructional approaches.In addition,high-quality practical teaching cases have been developed,and immersive,hands-on learning experiences have been designed based on industrial platforms and real-world applications.These initiatives aim to enhance the practical skills and innovative thinking of professional degree graduate students,fostering high-caliber talent that aligns with industry demands.A survey of 90 graduate students revealed high levels of satisfaction regarding course content,teaching methodology,and skill development.The reform has proven effective in cultivating interdisciplinary professionals with solid foundations in software engineering and AI-driven innovation. 展开更多
关键词 Industry-education integration AI empowerment Project-driven Case studies
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Design and Exploration of Intelligent Software Testing Course 认领 引用
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作者 Depeng Gao Rui Wu +1 位作者 Shihan Xiao Shuxi Chen 《计算机教育》 2026年第3期47-53,共7页
With the rapid development of artificial intelligence,the intelligence level of software is increasingly improving.Intelligent software,which is widely applied in crucial fields such as autonomous driving,intelligent ... With the rapid development of artificial intelligence,the intelligence level of software is increasingly improving.Intelligent software,which is widely applied in crucial fields such as autonomous driving,intelligent customer service,and medical diagnosis,is constructed based on complex technologies like machine learning and deep learning.Its uncertain behavior and data dependence pose unprecedented challenges to software testing.However,existing software testing courses mainly focus on conventional contents and are unable to meet the requirements of intelligent software testing.Therefore,this work deeply analyzed the relevant technologies of intelligent software testing,including reliability evaluation indicator system,neuron coverage,and test case generation.It also systematically designed an intelligent software testing course,covering teaching objectives,teaching content,teaching methods,and a teaching case.Verified by the practical teaching in four classes,this course has achieved remarkable results,providing practical experience for the reform of software testing courses. 展开更多
关键词 Intelligent software testing Intelligent software Software testing Course design
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Research on a safety-critical architecture of large commercial aircraft fly-by-wire flight control system 认领 引用
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作者 TANG Zhishuai TANG Xianglong +2 位作者 JIN Ye CHENG Dansong LIU Xinghua 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2025年第5期1296-1305,共10页
In view of the deficiencies in aspects such as failure rate requirements and analysis assumptions of advisory circular,this paper investigates the sources of high safety requirements,and the top-down design method for... In view of the deficiencies in aspects such as failure rate requirements and analysis assumptions of advisory circular,this paper investigates the sources of high safety requirements,and the top-down design method for the flight control system life cycle.Correspondingly,measures are proposed,including enhancing the safety target value to 10−10per flight hour and implementing development assurance.In view of the shortcomings of mainstream aircraft flight control systems,such as weak backup capability and complex fault reconfiguration logic,improvements have been made to the system’s operating modes,control channel allocation,and common mode failure mitigation schemes based on the existing flight control architecture.The flight control design trends and philosophies have been analyzed.A flight control system architecture scheme is proposed,which includes three operating modes and multi-level voters/monitors,three main control channels,and a backup system independent of the main control system,which has been confirmed through functional modeling simulations.The proposed method plays an important role in the architecture design of safety-critical flight control system. 展开更多
关键词 large aircraft fly-by-wire flight control system safety common mode failure backup control
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Research on the Evaluation Model of Software Talent Cultivation Based on Multivariant Data Fusion 认领 引用
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作者 Yin Chen Haoxuan Tang +4 位作者 Lei Zhang Tonghua Su Zhongjie Wang Ruihan Hu Shanli Xie 《计算机教育》 2025年第3期130-137,共8页
This paper proposes a multivariate data fusion based quality evaluation model for software talent cultivation.The model constructs a comprehensive ability and quality evaluation index system for college students from ... This paper proposes a multivariate data fusion based quality evaluation model for software talent cultivation.The model constructs a comprehensive ability and quality evaluation index system for college students from a perspective of engineering course,especially of software engineering.As for evaluation method,relying on the behavioral data of students during their school years,we aim to construct the evaluation model as objective as possible,effectively weakening the negative impact of personal subjective assumptions on the evaluation results. 展开更多
关键词 Quality evaluation model Software talent cultivation Behavioral data
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Research and Analysis of Grammatical Error Correction Technology for Chinese Documents 认领 引用
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作者 Wei Jin Feng Jiang +2 位作者 Xiulai Wang Ningling Ma Yutao Zhang 《Journal of Computer and Communications》 2024年第8期202-223,共22页
With the widespread use of Chinese globally, the number of Chinese learners has been increasing, leading to various grammatical errors among beginners. Additionally, as domestic efforts to develop industrial informati... With the widespread use of Chinese globally, the number of Chinese learners has been increasing, leading to various grammatical errors among beginners. Additionally, as domestic efforts to develop industrial information grow, electronic documents have also proliferated. When dealing with numerous electronic documents and texts written by Chinese beginners, manually written texts often contain hidden grammatical errors, posing a significant challenge to traditional manual proofreading. Correcting these grammatical errors is crucial to ensure fluency and readability. However, certain special types of text grammar or logical errors can have a huge impact, and manually proofreading a large number of texts individually is clearly impractical. Consequently, research on text error correction techniques has garnered significant attention in recent years. The advent and advancement of deep learning have paved the way for sequence-to-sequence learning methods to be extensively applied to the task of text error correction. This paper presents a comprehensive analysis of Chinese text grammar error correction technology, elaborates on its current research status, discusses existing problems, proposes preliminary solutions, and conducts experiments using judicial documents as an example. The aim is to provide a feasible research approach for Chinese text error correction technology. 展开更多
关键词 Chinese Text Error Judicial Documents Neural Network Deep Learning Transformer
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Bionic Jumping of Humanoid Robot via Online Centroid Trajectory Optimization and High Dynamic Motion Controller 认领 引用 被引量：1
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作者 Xiangji Wang Wei Guo +3 位作者 Zhicheng He Rongchao Li Fusheng Zha Lining Sun 《Journal of Bionic Engineering》 SCIE EI CSCD 2024年第6期2759-2778,共20页
The dynamic motion capability of humanoid robots is a key indicator for evaluating their performance.Jumping,as a typical dynamic motion,is of great significance for enhancing the robot’s flexibility and terrain adap... The dynamic motion capability of humanoid robots is a key indicator for evaluating their performance.Jumping,as a typical dynamic motion,is of great significance for enhancing the robot’s flexibility and terrain adaptability in unstructured environments.However,achieving high-dynamic jumping control of humanoid robots has become a challenge due to the high degree of freedom and strongly coupled dynamic characteristics.The idea for this paper originated from the human response process to jumping commands,aiming to achieve online trajectory optimization and jumping motion control of humanoid robots.Firstly,we employ nonlinear optimization in combination with the Single Rigid Body Model(SRBM)to generate a robot’s Center of Mass(CoM)trajectory that complies with physical constraints and minimizes the angular momentum of the CoM.Then,a Model Predictive Controller(MPC)is designed to track and control the CoM trajectory,obtaining the required contact forces at the robot’s feet.Finally,a Whole-Body Controller(WBC)is used to generate full-body joint motion trajectories and driving torques,based on the prioritized sequence of tasks designed for the jumping process.The control framework proposed in this paper considers the dynamic characteristics of the robot’s jumping process,with a focus on improving the real-time performance of trajectory optimization and the robustness of controller.Simulation and experimental results demonstrate that our robot successfully executed high jump motions,long jump motions and continuous jump motions under complex working conditions. 展开更多
关键词 Humanoid robots Jumping motion control Centroid trajectory optimization Optimization and optimal control
Teaching Design of“ Digital Logic Design” Course Based on Blended Teaching Mode 认领 引用 被引量：1
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作者 Yanhang Zhang Wei Wang +1 位作者 Qiong Li Yingtao Zhang 《计算机教育》 2022年第12期9-13,共5页
How to design and organize the implementation of teaching is an important consideration for the quality of the course.This paper takes the“Digital Logic Design”course as an example,and carries out teaching design an... How to design and organize the implementation of teaching is an important consideration for the quality of the course.This paper takes the“Digital Logic Design”course as an example,and carries out teaching design and practice based on the blended teaching mode.By adopting various forms such as MOOC+SPOC+theme seminars,beneficial explorations have been made in improving students’autonomous learning ability,strengthening engineering literacy,and cultivating innovation ability. 展开更多
关键词 Blended teaching Digital Logic Design Teaching case
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An Exploratory Practice of Integration of Industry and Education in High-level Programming Language Course in the Background of New Engineering 认领 引用
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作者 Yu Zhang Xiaohong Su +3 位作者 Jianhong Zhai Yanhang Zhang Yongfeng Yuan Yulin Zhou 《计算机教育》 2023年第12期272-279,共8页
This paper analyzes some problems of the current teaching situation in the course High-level Programming Language,such as the lagging content of the course compared with technology development,the emphasis on theory r... This paper analyzes some problems of the current teaching situation in the course High-level Programming Language,such as the lagging content of the course compared with technology development,the emphasis on theory rather than on practice,the low enthusiasm of students for learning,and the weak practical ability of students.In response to the needs of enterprises for talents under the background of New Engineering,especially the cultivation of students’adaptability and practical abilities towards future industries to improve students’knowledge and problemsolving abilities to keep up with the modern technology,this paper proposes the ways and methods to reform and explore the teaching content and teaching methods by integrating industry and education,assisting teaching according to industrial demands,and lowering technology barriers of new technology.The practical effect is evaluated through a survey in class and the follow-up questionnaire after class,and the results show that the effect of the practice is effective. 展开更多
关键词 High-level programming language New Engineering Integration of Industry and education Practical project-based courses
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A New Model of Scenario Comprehension and Practical Progressive Teaching 认领 引用
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作者 Yanhang Zhang Xiaohong Su +1 位作者 Hongwei Liu Wei Wang 《计算机教育》 2021年第12期89-97,共9页
Taking Digital Logic Design,a professional foundation course for undergraduates in the School of Computer Science of Harbin Institute of Technology,as an example,we propose a new teaching model of scenario comprehensi... Taking Digital Logic Design,a professional foundation course for undergraduates in the School of Computer Science of Harbin Institute of Technology,as an example,we propose a new teaching model of scenario comprehension and practical progressive teaching in response to the many difficult problems faced in undergraduate teaching,such as the change of the teaching target to first-year university students with zero foundation and low starting point,and the compression of class time,while the quality of the course and the quality of student training have to be improved simultaneously.With the help of MOOC to implement blended teaching,effective means such as lowering the threshold,raising interest,building foundation and progressive improvement are adopted to help freshmen challenge themselves and move to a higher starting point.This paper is a useful exploration of the current new model of high-quality teaching in hardware courses for junior undergraduates. 展开更多
关键词 scene understanding style practice progressive low starting point high drop point blended Learning
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Data-Driven Prediction of Foodborne Disease Pathogens 认领 引用 被引量：1
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作者 Xiang Chen Hongzhi Wang 《国际计算机前沿大会会议论文集》 EI 2021年第1期106-116,共11页
In recent years,foodborne diseases have become one of the most Data analysis technology has been widely used in the field of public health,and greatly facilitates the preliminary judgment of medical staff.Foodborne pa... In recent years,foodborne diseases have become one of the most Data analysis technology has been widely used in the field of public health,and greatly facilitates the preliminary judgment of medical staff.Foodborne pathogens,as the main factor of foodborne diseases,play an important role in the treatment and prevention of foodborne diseases.However,foodborne diseases caused by different pathogens lack specificity in clinical features,and the actual clinical pathogen detection ratio is very low in reality.This paper proposes a data-driven foodborne disease pathogen prediction model,which paves the way for early and effective patient identification and treatment.Data analysis was implemented to model the foodborne disease case data.The best model achieves good classification accuracy for Salmonella,Norovirus,Vibrio parahaemolyticus,Staphylococcus aureus,Shigella and Escherichia coli.With the patient data input,the model can conduct rapid risk assessment.The experimental results show that the data-driven approach reduces manual intervention and the difficulty of testing. 展开更多
关键词 Foodborne disease Pathogens prediction Data-driven healthcare
Analysis and Design of Quality Management Platform for the Entire Process of Characteristic Software Talent Training 认领 引用
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作者 Guoxiang Fan Lin Yao +4 位作者 Yin Chen Yong Guo Yingxin Tian Feng Gao Zhongjie Wang 《计算机教育》 2022年第12期24-34,共11页
At the end of 2021 to create a new model of characteristic software talent training for independent and controllable key software fields,the Ministry of Education and the Ministry of Industry and Information Technolog... At the end of 2021 to create a new model of characteristic software talent training for independent and controllable key software fields,the Ministry of Education and the Ministry of Industry and Information Technology jointly approved the establishment of the first batch of 33 Characteristic Pilot Schools of software.As a member of characteristic software schools,the HIT School of Software has been approved and will focus on the construction of 2 characteristic directions,which are large-scale industrial software and industrial professional application software.In order to achieve the goal,it is urgent to develop a comprehensive management platform to control the entire process of talent training,so that we can standardize,modelling,and digitized the entire process of characteristic software talent training.By relating all aspects of student training with and implementing the ability-index mechanisms,we will continuously collect big-data of the entire process of student growth,and generate multidimensional student ability portraits for evaluating the effect of talent training,and adjust as well as optimizing the growth path for students themselves during their studying.Employers will be able to identify talents accurately and provide effective reference for colleges to adjust training plans.This paper will analyze the needs of the platform,provide demand analysis of the platform,extract the correlation model between training,conclude the relations between ability-index activities and ability indicators,and give a reasonable overall system design scheme. 展开更多
关键词 Characteristic school of software Talent training Quality management platform Analysis and design
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Teaching Reform Conception of Software Engineering Core Courses for Cloud Application 认领 引用
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作者 Guoxiang Fan Yong Guo +2 位作者 Yingxin Tian Hanchuan Xu Zhiying Tu 《计算机教育》 2022年第12期2-8,共7页
In the 10 years after the concept of cloud computing was put forward,compared with traditional technologies and methods,great changes have taken place in the development methods,technical architecture,deployment metho... In the 10 years after the concept of cloud computing was put forward,compared with traditional technologies and methods,great changes have taken place in the development methods,technical architecture,deployment methods and operation and maintenance modes of software systems.At present,software projects for cloud applications occupy the mainstream in the market.However,the undergraduate training programs for software engineering or computer science majors in many universities in China are still relatively traditional,lagging behind the development of cloud computing technology for freshmen.In view of this situation,this paper tries to select 3 core courses of“Requirements Analysis and System Design,Web Development Technology,Cloud Native Technology”in the undergraduate training program of software engineering major of Harbin Institute of Technology 2020 as the baseline,and puts forward the idea of breaking the barriers between courses and carrying out penetrating teaching reform.It aims to train students to have the ability to analysis,design and implementation of cloud-based application systems to meet the new needs of the market. 展开更多
关键词 Cloud application Software engineering courses Penetrating teaching reform Conception of teaching reform
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A Construction Method of Online Course Portrait Based on Feature Engineering 认领 引用
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作者 Wuying Liu Quanlong Li Yuanlong Chen 《计算机教育》 2021年第12期45-50,共6页
With the emergence of massive online courses,how to evaluate the quality of courses with different qualities to improve the discrimination between courses and recommend personalized online course learning resources fo... With the emergence of massive online courses,how to evaluate the quality of courses with different qualities to improve the discrimination between courses and recommend personalized online course learning resources for learners needs to be evaluated from all aspects.In this paper,a method of constructing an online course portrait based on feature engineering is proposed.Firstly,the framework of online course portrait is established,the related features of the portrait are extracted by feature engineering method,and then the indicator weights of the portrait are calculated by entropy weight method.Finally,experiments are designed to evaluate the performance of the algorithms,and an example of the course portrait is given. 展开更多
关键词 course portrait online courses intelligence education feature engineering
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Beyond dwarfism:Green Revolution gene Rht-D1b orchestrates tiller angle and canopy architecture in wheat 认领 引用
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作者 Han Zhang Bo Lyu +11 位作者 Ping Zhao Yuqi Song Jiajia Cao Zihao Wang Yuhao Liu Songtao Gui Ronghui Zou Xinyou Cao Yonghong Wang Ran Meng Jie Liu Wenguang Wang 《The Crop Journal》 SCIE CSCD 2026年第2期303-312,共10页
The Green Revolution genes Rht-B1b and Rht-D1b encode truncated DELLA proteins that confer gibberellin(GA)-insensitive semi-dwarfism in wheat.Their roles in reducing plant height and enhancing lodging resistance are w... The Green Revolution genes Rht-B1b and Rht-D1b encode truncated DELLA proteins that confer gibberellin(GA)-insensitive semi-dwarfism in wheat.Their roles in reducing plant height and enhancing lodging resistance are well established,but their pleiotropic effects on specific components of plant architecture require further genetic dissection.Here,we reveal a previously unrecognized role of Rht-D1b in regulating tiller angle,a key determinant of canopy architecture.Quantitative trait locus(QTL)mapping identified Rht-D1b as a major locus controlling tiller angle.Functional validation showed that Rht-D1b not only reduces plant height but also increases tiller angle and tiller number,thereby optimizing canopy structure for enhanced yield potential.Transcriptome profiling indicated that Rht-D1b modulates the expression of genes involved in auxin signaling and polar auxin transport.Broad-scale phenotyping across diverse wheat accessions demonstrated that both Rht-B1b and Rht-D1b significantly increase tiller angle and leaf area index,with double mutants exhibiting the strongest effects on tiller architecture.Notably,the frequency of Rht-B1b and Rht-D1b has risen in modern cultivars,coinciding with a historical trend toward wider tiller angle.Together,these findings establish a novel pleiotropic role for the Green Revolution genes,demonstrating that they not only reduce plant height but also coordinate tiller angle and tiller number to optimize canopy architecture,ultimately elevating yield in wheat. 展开更多
关键词 Wheat Rht-D1b Tiller angle Shoot gravitropism Plant height
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Innovation of Teaching and Learning Scenes and Models Empowered by Artificial Intelligence:Practice and Experience of AI-Powered Programming Courses 认领 引用 被引量：1
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作者 Xiaohong Su Xiaofei Xu Tiantian Wang 《Frontiers of Digital Education》 2026年第1期33-45,共13页
The rapid development of artificial intelligence(AI)is accelerating the digital transformation of higher education.Today,“AI+Education”has become a key feature of Education Informatization 2.0 Action Plan in China.T... The rapid development of artificial intelligence(AI)is accelerating the digital transformation of higher education.Today,“AI+Education”has become a key feature of Education Informatization 2.0 Action Plan in China.This study presents practical experiences in applying AI to programming courses.First,the global trends in AI-powered teaching and learning are analyzed.Key challenges in programming education that can be addressed by AI are then identified.Focusing on common teaching problems,an introductory programming course is used to demonstrate the construction of a course engine powered by large language models.This engine enables the creation of intelligent courses,driving innovation in teaching scenes,and transforming both teaching and learning methods.The exploration then extends to the design of AI-enhanced teaching and learning environments,featuring AI teaching assistants and AI learning companions.These tools provide scalable,differentiated,and personalized support for teachers.They also enable one-on-one,adaptive,and customized learning experiences for students.An integrated learning support system is proposed,which combines courses,training,competitions,testing,evaluation,and certification.The goal is to build a smart teaching ecosystem with knowledge services,personalized learning,and instructional support,as well as to realize the entire teaching process of“course–training–competition–testing–evaluation”empowered by AI for all elements and all time periods.Furthermore,the intelligent&interactive virtual massive open online courses(IMOOCs)for C programming is developed.A new hybrid teaching model based on IMOOC,which integrates virtual and real elements and promotes crossdomain collaboration,has also been explored.Potential risks of overreliance on AI tools are discussed,together with strategies to address them.Finally,future trends and challenges in“AI+Higher Education”are examined.The study argues that AI will unlock new possibilities for reshaping how higher education is delivered and experienced. 展开更多
关键词 smart education AI empowering education innovative teaching and learning scenes transformation of teaching and learning models intelligent&interactive virtual massive open online courses
A New Hybrid Teaching Model Based on Intelligent Interactive Virtual MOOC for Cross-Regional and Cross-School Collaboration 认领 引用
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作者 Yanhang Zhang Xiaohong Su +1 位作者 Yu Zhang Tiantian Wang 《计算机教育》 2026年第3期89-94,共6页
This paper proposes and implements a novel hybrid teaching model based on IMOOC(intelligent interactive virtual MOOC),featuring cross-regional inter-university collaboration and industry-academia cooperation.This appr... This paper proposes and implements a novel hybrid teaching model based on IMOOC(intelligent interactive virtual MOOC),featuring cross-regional inter-university collaboration and industry-academia cooperation.This approach drives teaching quality improvement in central and western Chinese universities,injects new momentum into the“1+M+N”hybrid teaching framework,and promotes a digital classroom revolution.The integration of Huawei’s programming standards,high-performance cloud platform deployment,and Kunpeng development kits into MOOCs,teaching,and laboratory practices addresses two critical issues:the static nature of traditional teaching content and the disconnect between programming skill cultivation and industrial practice.This innovation bridges programming education with cutting-edge technologies in China’s independent and controllable software industry. 展开更多
关键词 Cross-regional and cross-school collaboration IMOOC Digital classroom
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MH-Raft:an efficient and low-latency consensus algorithm for distributed systems viaMOEA/D and hybrid hierarchical clustering 认领 引用
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作者 Fei ZHAO Guilong PENG Tianyi ZANG 《ENGINEERING Information Technology & Electronic Engineering》 SCIE EI CSCD 2026年第5期34-48,共15页
Raft is a foundational consensus protocol for distributed systems,architected to ensure state machine replication and data consistency across machine clusters.However,traditional Raft faces significant performance bot... Raft is a foundational consensus protocol for distributed systems,architected to ensure state machine replication and data consistency across machine clusters.However,traditional Raft faces significant performance bottlenecks,particularly regarding suboptimal election efficiency and substantial consensus latency in large-scale deployments.To address these challenges,this study presents MH-Raft,an enhanced consensus variant designed for high efficiency and minimal latency.We propose a hierarchical node management and election framework to optimize network coordination.Specifically,a leader election methodology leveraging the multi-objective evolutionary algorithm based on decomposition(MOEA/D)is formulated to minimize election latency by evaluating multi-dimensional node attributes.To further refine the proposed hierarchical architecture,a rigorous tightness definition is devised for optimal mediator node selection,which is integrated into a hybrid clustering algorithm that adaptively partitions the network and optimizes the mapping between mediator nodes and follower nodes.Quantitative evaluations via comprehensive experiments demonstrate that MH-Raft significantly reduces overall election latency and lowers consensus latency by 14.87%–34.45%,while enhancing average throughput by 30.43%compared to the conventional Raft implementation. 展开更多
关键词 Consensus algorithm Blockchain Multi-objective evolutionary algorithm Distributed systems
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Research Progress in Solar Flare Prediction Methods 认领 引用
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作者 Ke Han Zhen Liu +3 位作者 Xian-Yi Zhao Yi-Fei Li De-Quan Zheng Jie Wan 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2025年第3期277-306,共30页
Solar flares are one of the strongest outbursts of solar activity,posing a serious threat to Earth’s critical infrastructure,such as communications,navigation,power,and aviation.Therefore,it is essential to accuratel... Solar flares are one of the strongest outbursts of solar activity,posing a serious threat to Earth’s critical infrastructure,such as communications,navigation,power,and aviation.Therefore,it is essential to accurately predict solar flares in order to ensure the safety of human activities.Currently,the research focuses on two directions:first,identifying predictors with more physical information and higher prediction accuracy,and second,building flare prediction models that can effectively handle complex observational data.In terms of flare observability and predictability,this paper analyses multiple dimensions of solar flare observability and evaluates the potential of observational parameters in prediction.In flare prediction models,the paper focuses on data-driven models and physical models,with an emphasis on the advantages of deep learning techniques in dealing with complex and high-dimensional data.By reviewing existing traditional machine learning,deep learning,and fusion methods,the key roles of these techniques in improving prediction accuracy and efficiency are revealed.Regarding prevailing challenges,this study discusses the main challenges currently faced in solar flare prediction,such as the complexity of flare samples,the multimodality of observational data,and the interpretability of models.The conclusion summarizes these findings and proposes future research directions and potential technology advancement. 展开更多
关键词 Sun activity-Sun flares-(Sun )sunspots-Sun magnetic fields-magnetohydrodynamics(MHD)
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