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HACAN:a hierarchical answer-aware and context-aware network for question generation

Frontiers of Computer Science 2024年第5期18卷 45-55页

作者： Ruijun SUN Hanqin TAO Yanmin CHEN Qi LIU Anhui Province Key Laboratory of Big Data Analysis and Application University of Science and Technology of ChinaHefei230027China

Question Generation(QG)is the task of generating questions according to the given *** of the existing methods are based on Recurrent Neural Networks(RNNs)for generating questions with passage-level input for providing more details,which seriously suffer from such problems as gradient vanishing and ineffective information *** fact,reasonably extracting useful information from a given context is more in line with our actual needs during questioning especially in the education *** that end,in this paper,we propose a novel Hierarchical Answer-Aware and Context-Aware Network(HACAN)to construct a high-quality passage representation and judge the balance between the sentences and the whole ***,a Hierarchical Passage Encoder(HPE)is proposed to construct an answer-aware and context-aware passage representation,with a strategy of utilizing multi-hop ***,we draw inspiration from the actual human questioning process and design a Hierarchical Passage-aware Decoder(HPD)which determines when to utilize the passage *** conduct extensive experiments on the SQuAD dataset,where the results verify the effectivenesss of our model in comparison with several baselines.

关键词： question generation natural language generation natural language processing sequence to sequence

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Machine learning-assisted retrosynthesis planning:Current status and future prospects

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Chinese Journal of Chemical Engineering 2025年第1期77卷 273-292页

作者： Yixin Wei Leyu Shan Tong Qiu Diannan Lu Zheng Liu Department of Chemical Engineering Tsinghua UniversityBeijing 100084China Beijing Key Laboratory of Industrial Big Data System and Application Beijing 100084China

Machine learning-assisted retrosynthesis planning aims to utilize machine learning(ML)algorithms to find synthetic pathways for target *** recent years,with the development of artificial intelligence(AI),especially ML,researchers’interest in ML-assisted retrosynthesis planning has rapidly increased,bringing development and opportunities to the *** this review,we aim to provide a comprehensive understanding of ML-assisted retrosynthesis *** first discuss the formal definition and the objective of retrosynthesis planning,and organize a modular framework which includes four modules:data preparation,data preprocessing,pathway generation and evaluation,and pathway ***,we sequentially review the current status of the first three modules(except pathway verification)in the ML-assisted retrosynthesis planning framework,including ideas,methods,and latest *** that,we specifically discuss large language models in retrosynthesis ***,we summarize the extant challenges that are faced by current ML-assisted retrosynthesis planning research and offer a perspective on future research directions and development.

关键词： Retrosynthesis planning Machine learning Artificial intelligence Synthetic pathway Chemoinformatics

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Vehicle and onboard UAV collaborative delivery route planning:considering energy function with wind and payload

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Journal of Systems Engineering and Electronics 2025年第1期36卷 194-208页

作者： GUO Jingfeng SONG Rui HE Shiwei Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport Beijing Jiaotong UniversityBeijing 100044China

The rapid evolution of unmanned aerial vehicle(UAV)technology and autonomous capabilities has positioned UAV as promising last-mile delivery *** and onboard UAV collaborative delivery is introduced as a novel delivery *** collaboration,along with energy consumption with payload and wind conditions play important roles in delivery route *** paper introduces the traveling salesman problem with time window and onboard UAV(TSPTWOUAV)and emphasizes the consideration of real-world scenarios,focusing on time collaboration and energy consumption with wind and *** address this,a mixed integer linear programming(MILP)model is formulated to minimize the energy consumption costs of vehicle and ***,an adaptive large neighborhood search(ALNS)algorithm is applied to identify high-quality solutions *** effectiveness of the proposed model and algorithm is validated through numerical tests on real geographic instances and sensitivity analysis of key parameters is conducted.

关键词： vehicle and onboard unmanned aerial vehicle(UAV)collaborative delivery energy consumption function route planning mixed integer linear programming model adaptive large neighborhood search(ALNS)algorithm

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Soliton molecules for combined mKdV-type bilinear equation

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Communications in Theoretical Physics 2023年第10期75卷 1-9页

作者： Zhang-Xuan Zhao Lu-Wei Zhang Wei Yang Xue-Ping Cheng School of Information Engineering Zhejiang Ocean UniversityZhoushan 316022China Key Laboratory of Oceanographic Big Data Mining&Application of Zhejiang Province Zhoushan 316022China

Starting from the multi-soliton solutions obtained by the Hirota bilinear method,the soli ton molecule structures for the combined mKdV-type bilinear equation(Dt+∑n=1NαnDx2n+1)f*·f=0 are investigated using the velocity resonance *** two-soliton molecules of the mKdV-35 equation and the three-soliton molecules of the mKdV-357 equation are specifically demonstrated in this *** particular selections of the involved arbitrary parameters,especially the wave numbers,it is confirmed that,besides the usual multi-bright soliton molecules,the multi-dark soliton molecules and the mixed multibright-dark soliton molecules can also be *** addition,we discuss the existence of the multi-soliton molecules for the combined mKdV-type bilinear equation with more higher order nonlinear terms and *** results demonstrate that when N≥4,the combined mKdVtype bilinear equation no longer admits soliton molecules comprising more than four solitons.

关键词： soliton molecule combined mKdV-type bilinear equation Hirota bilinear method velocity resonance mechanism

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Design and Implementation of Martime 5G Communication System Based on Software Defined Radio and Open Air Interface

Design and Implementation of Martime 5G Communication System...

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2023 IEEE International Conference on Unmanned Systems, ICUS 2023

作者： Wang, Yushuo Yang, Kun Ding, Jianjun Chen, Xuyang Li, Qiang Peng, Tong Big Data Mining & Application Zhejiang Ocean University Key Laboratory of Oceanographic Zhoushan China

ISBN: (纸本)9798350316308

This article proposes an innovative maritime 5G communication system based on Software Defined Radio (SDR) and OpenAirInterface (OAI),which shows advantages of high scalability and low cost. By implementing with recent research on OAI-based software base station technology, we established a core network, 5G software base station (gNB), user terminal (UE), and uplink/downlink systems to test the stability and transmission rate of the entire platform based on the testing software such as Iperf. We obtained the communication performance indicators of the equipment in marine environments and compared them with the test results in terrestrial environments, which fills the gap in the accessible test solution for 5G communication systems in marine environments. The results show that the proposed test solution can be used for reliable and accurate performance eveluation of 5G communication systems in marine environments with the feature of easy-implmentation and easy-scalability. Future research can be exploited by increasing the complexity and diversity. © 2023 IEEE.

关键词： Radio

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LoRa Path-Loss Model and Verification for Maritime Environment

LoRa Path-Loss Model and Verification for Maritime Environme...

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2023 IEEE International Conference on Unmanned Systems, ICUS 2023

作者： Zeng, Hao Yang, Kun Wu, Jianming Ding, Jianjun Wen, Chengyuan Li, Xin Zhejiang Ocean University Key Laboratory of Oceanographic Big Data Mining & Application Zhoushan China

ISBN: (纸本)9798350316308

Maritime communication faces the influence of many irresistible factors such as air pressure and waves, which leads to the degradation of the efficiency and quality of maritime communication, and increases the difficulty of channel modeling. In this paper, we conducted LoRa data testing, analyzed and simulated a LoRa path loss model for maritime environment, focusing on the influence of antenna height, sea surface roughness and other channel model parameters. According to the simulation results, it is concluded that changing the standard deviation of surface height distribution and the mean-square surface slope affects the influence of the reflection path on the large-scale fading. In addition, by appropriately increasing the antenna height on board, the communication coverage can be extended accordingly. © 2023 IEEE.

关键词： Antennas

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Ship Early Warning System Based on Nine Axis Sensors 10

Ship Early Warning System Based on Nine Axis Sensors

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10th International Forum on Electrical Engineering and Automation, IFEEA 2023

作者： Ding, Jianjun Yang, Kun Liu, Yupeng Lin, Jinglong Zhejiang Ocean University Key Laboratory of Oceanographic Big Data Mining & Application Zhoushan China

ISBN: (纸本)9798350309379

In view of the various dangerous situations that ships may face the sea, such as sea wind, waves, and ocean currents, which can cause problems such as tilting, ascending and descending, and swaying of the ship's body, this paper proposes a ship attitude recognition method based on the MPU9250 nine-axis sensor. The method aims to achieve real-time and accurate monitoring and warning of ship movements, with technical advantages such as instant response, continuous monitoring, and low energy consumption. The system utilizes wireless communication technology for terminal data uploading and interaction, and employs 2G/3G/4G/5G technology for remote data transmission and warning functionality, enabling real-time data transmission and remote warning capabilities. Additionally, a machine learning-based algorithm is designed to analyze sensor datas. Experimental results demonstrate that the system can accurately monitor ship attitude changes and abnormal movements, and issue timely warning signals, which are of significant importance for ship safety and operational efficiency. © 2023 IEEE.

关键词： 5G component Monitoring System MPU9250

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Efficient control of connected and automated vehicles on a two-lane highway with a moving bottleneck

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Chinese Physics B 2023年第5期32卷 527-536页

作者：刘华清姜锐 Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport Ministry of TransportBeijing Jiaotong UniversityBeijing 100044China

This paper investigates the traffic flow of connected and automated vehicles(CAVs)inducing by a moving bottleneck on a two-lane highway.A heuristic rules-based algorithm(HRA)has been used to control the traffic flow upstream of the moving *** the HRA,some CAVs in the control zone are mapped onto the neighboring lane as virtual *** improve the driving comfort,the command acceleration caused by virtual vehicle is *** with the benchmark in which the CAVs change lane as soon as the lane changing condition is met,the HRA significantly improves the traffic flow:the overtaking throughput as well as the outflow rate increases,the travel delay and the fuel consumption decrease,the comfort level could also be improved.

关键词： traffic flow connected and automated vehicles moving bottleneck

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A general tail item representation enhancement framework for sequential recommendation

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Frontiers of Computer Science 2024年第6期18卷 137-148页

作者： Mingyue CHENG Qi LIU Wenyu ZHANG Zhiding LIU Hongke ZHAO Enhong CHEN Anhui Province Key Laboratory of Big Data Analysis and Application University of Science and Technology of China&State Key Laboratory of Cognitive IntelligenceHefei 230026China College of Management and Economics Tianjin UniversityTianjin 300072China

Recently advancements in deep learning models have significantly facilitated the development of sequential recommender systems(SRS).However,the current deep model structures are limited in their ability to learn high-quality embeddings with insufficient ***,highly skewed long-tail distribution is very common in recommender ***,in this paper,we focus on enhancing the representation of tail items to improve sequential recommendation *** empirical studies on benchmarks,we surprisingly observe that both the ranking performance and training procedure are greatly hindered by the poorly optimized tail item *** address this issue,we propose a sequential recommendation framework named TailRec that enables contextual information of tail item well-leveraged and greatly improves its corresponding *** the characteristics of the sequential recommendation task,the surrounding interaction records of each tail item are regarded as contextual information without leveraging any additional side *** approach allows for the mining of contextual information from cross-sequence behaviors to boost the performance of sequential *** a light contextual filtering component is plug-and-play for a series of SRS *** verify the effectiveness of the proposed TailRec,we conduct extensive experiments over several popular benchmark *** experimental results demonstrate that TailRec can greatly improve the recommendation results and speed up the training *** codes of our methods have been available.

关键词： sequential recommendation long-tail distribution training accelerating

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A Method for Fast Feature Selection Utilizing Cross-Similarity within the Context of Fuzzy Relations

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Computers, Materials & Continua 2025年第4期83卷 1195-1218页

作者： Wenchang Yu Xiaoqin Ma Zheqing Zhang Qinli Zhang School of Big Data and Artificial Intelligence Chizhou UniversityChizhou247000China Anhui Education Big Data Intelligent Perception and Application Engineering Research Center Anhui Provincial Joint Construction Key Laboratory of Intelligent Education Equipment and TechnologyChizhou247000China

Feature selection methods rooted in rough sets confront two notable limitations:their high computa-tional complexity and sensitivity to noise,rendering them impractical for managing large-scale and noisy *** primary issue stems from these methods’undue reliance on all *** overcome these challenges,we introduce the concept of cross-similarity grounded in a robust fuzzy relation and design a rapid and robust feature selection ***,we construct a robust fuzzy relation by introducing a truncation ***,based on this fuzzy relation,we propose the concept of cross-similarity,which emphasizes the sample-to-sample similarity relations that uniquely determine feature importance,rather than considering all such relations *** studying the manifestations and properties of cross-similarity across different fuzzy granularities,we propose a forward greedy feature selection algorithm that leverages cross-similarity as the foundation for information *** algorithm significantly reduces the time complexity from O(m2n2)to O(mn2).Experimental findings reveal that the average runtime of five state-of-the-art comparison algorithms is roughly 3.7 times longer than our algorithm,while our algorithm achieves an average accuracy that surpasses those of the five comparison algorithms by approximately 3.52%.This underscores the effectiveness of our *** paper paves the way for applying feature selection algorithms grounded in fuzzy rough sets to large-scale gene datasets.

关键词： Fuzzy rough sets feature selection cross-similarity fuzzy relations

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