Objective:A positive and successful transition into university is crucial.Transition to the college environment is a critical situation that can impact students holistically.The study aimed to examine the relationship...Objective:A positive and successful transition into university is crucial.Transition to the college environment is a critical situation that can impact students holistically.The study aimed to examine the relationship between emotional intelligence and academic adjustment among undergraduate student s in Oman.Methods:The study utilized a descriptive correlational and cross-sectional study design.The total sample was 339 based on defined inclusion criteria.The study used Emotional Intelligence Questionnaire and Academic Adjustment Scale to investig a te the extents of the research phenomena among undergraduate students.Results:The average age of the participants was 21.5 years.The level of AD and EI was on medium.However,the findings revealed a strong positive relationship(r=0.703)between emo t ional intelligence and academic adjustment among undergraduate students.Conclusion:Emotional intelligence may increase over time through the academic life.It can help students develop adequate social skills and bondings to satisfy academic demands and p romote their social,moral,and cognitive abilities and adjustment.展开更多
An intelligent remote control system based on a power distribution unit（PDU） and Arduino has been designed for the electron cyclotron emission imaging（ECEI） system on Experimental Advanced Superconducting Tokamak...An intelligent remote control system based on a power distribution unit（PDU） and Arduino has been designed for the electron cyclotron emission imaging（ECEI） system on Experimental Advanced Superconducting Tokamak（EAST）. This intelligent system has three major functions：ECEI system reboot, measurement region adjustment and signal amplitude optimization. The observation region of ECEI can be modified for different physics proposals by remotely tuning the optical and electronics systems. Via the remote adjustment of the attenuation level, the ECEI intermediate frequency signal amplitude can be efficiently optimized. The remote control system provides a feasible and reliable solution for the improvement of signal quality and the efficiency of the ECEI diagnostic system, which is also valuable for other diagnostic systems.展开更多
Shale gas wells frequently suffer from liquid loading and insufficient formation pressure in the late stage of production.To address this issue,an intelligent production optimization method for low pressure and low pr...Shale gas wells frequently suffer from liquid loading and insufficient formation pressure in the late stage of production.To address this issue,an intelligent production optimization method for low pressure and low productivity shale gas well is proposed.Based on the artificial intelligence algorithms,this method realizes automatic production and monitoring of gas well.The method can forecast the production performance of a single well by using the long short-term memory neural network and then guide gas well production accordingly,to fulfill liquid loading warning and automatic intermittent production.Combined with adjustable nozzle,the method can keep production and pressure of gas wells stable automatically,extend normal production time of shale gas wells,enhance automatic level of well sites,and reach the goal of refined production management by making production regime for each well.Field tests show that wells with production regime optimized by this method increased 15%in estimated ultimate reserve(EUR).Compared with the development mode of drainage after depletion recovery,this method is more economical and can increase and stabilize production effectively,so it has a bright application prospect.展开更多
This paper describes the structure,geometric model and geometric calibration of Photogrammetron I - the first type of photogrammetron which is designed to be a coherent stereo photogrammetric system in which two camer...This paper describes the structure,geometric model and geometric calibration of Photogrammetron I - the first type of photogrammetron which is designed to be a coherent stereo photogrammetric system in which two cameras are mounted on a physical base but driven by an intelligent agent architecture. The system calibration is divided into two parts: the in-lab calibration determines the fixed parameters in advance of system operation, and the in-situ calibration keeps tracking the free parameters in real-time during the system operation. In a video surveillance set-up, prepared control points are tracked in stereo image sequences, so that the free parameters of the system can be continuously updated through iterative bundle adjustment and Kalman filtering.展开更多
为更好地利用单词词性包含的语义信息和伴随单词出现时的非自然语言上下文信息,提出动态调整语义的词性加权多模态情感分析(part of speech weighted multi-modal sentiment analysis model with dynamic semantics adjustment,PW-DS)模...为更好地利用单词词性包含的语义信息和伴随单词出现时的非自然语言上下文信息,提出动态调整语义的词性加权多模态情感分析(part of speech weighted multi-modal sentiment analysis model with dynamic semantics adjustment,PW-DS)模型.该模型以自然语言为主体,分别使用基于Transformer的双向编码器表示(bidirectional encoder representation from Transformers,BERT)模型、广义自回归预训练(generalized autoregressive pretraining for language understanding,XLNet)模型和一种鲁棒优化的BERT预训练(robustly optimized BERT pretraining approach,RoBERTa)模型为文本模态做词嵌入编码;创建动态调整语义模块将自然语言和非自然语言信息有效结合;设计词性加权模块,提取单词词性并赋权以优化情感判别.与张量融合网络和低秩多模态融合等当前先进模型的对比实验结果表明,PW-DS模型在公共数据集CMU-MOSI和CMU-MOSEI上的平均绝对误差分别达到了0.607和0.510,二分类准确率分别为89.02%和86.93%,优于对比模型.通过消融实验分析了不同模块对模型效果的影响,验证了模型的有效性.展开更多
文摘Objective:A positive and successful transition into university is crucial.Transition to the college environment is a critical situation that can impact students holistically.The study aimed to examine the relationship between emotional intelligence and academic adjustment among undergraduate student s in Oman.Methods:The study utilized a descriptive correlational and cross-sectional study design.The total sample was 339 based on defined inclusion criteria.The study used Emotional Intelligence Questionnaire and Academic Adjustment Scale to investig a te the extents of the research phenomena among undergraduate students.Results:The average age of the participants was 21.5 years.The level of AD and EI was on medium.However,the findings revealed a strong positive relationship(r=0.703)between emo t ional intelligence and academic adjustment among undergraduate students.Conclusion:Emotional intelligence may increase over time through the academic life.It can help students develop adequate social skills and bondings to satisfy academic demands and p romote their social,moral,and cognitive abilities and adjustment.
基金supported by National Magnetic Confinement Fusion Energy Program of China(No.2014GB109002)
文摘An intelligent remote control system based on a power distribution unit（PDU） and Arduino has been designed for the electron cyclotron emission imaging（ECEI） system on Experimental Advanced Superconducting Tokamak（EAST）. This intelligent system has three major functions：ECEI system reboot, measurement region adjustment and signal amplitude optimization. The observation region of ECEI can be modified for different physics proposals by remotely tuning the optical and electronics systems. Via the remote adjustment of the attenuation level, the ECEI intermediate frequency signal amplitude can be efficiently optimized. The remote control system provides a feasible and reliable solution for the improvement of signal quality and the efficiency of the ECEI diagnostic system, which is also valuable for other diagnostic systems.
基金Supported by the China National Science and Technology Major Project(2017ZX05037-004).
文摘Shale gas wells frequently suffer from liquid loading and insufficient formation pressure in the late stage of production.To address this issue,an intelligent production optimization method for low pressure and low productivity shale gas well is proposed.Based on the artificial intelligence algorithms,this method realizes automatic production and monitoring of gas well.The method can forecast the production performance of a single well by using the long short-term memory neural network and then guide gas well production accordingly,to fulfill liquid loading warning and automatic intermittent production.Combined with adjustable nozzle,the method can keep production and pressure of gas wells stable automatically,extend normal production time of shale gas wells,enhance automatic level of well sites,and reach the goal of refined production management by making production regime for each well.Field tests show that wells with production regime optimized by this method increased 15%in estimated ultimate reserve(EUR).Compared with the development mode of drainage after depletion recovery,this method is more economical and can increase and stabilize production effectively,so it has a bright application prospect.
基金ProjectsupportedbytheNationalNaturalScienceFoundation (No .40 1 71 0 80 ) .
文摘This paper describes the structure,geometric model and geometric calibration of Photogrammetron I - the first type of photogrammetron which is designed to be a coherent stereo photogrammetric system in which two cameras are mounted on a physical base but driven by an intelligent agent architecture. The system calibration is divided into two parts: the in-lab calibration determines the fixed parameters in advance of system operation, and the in-situ calibration keeps tracking the free parameters in real-time during the system operation. In a video surveillance set-up, prepared control points are tracked in stereo image sequences, so that the free parameters of the system can be continuously updated through iterative bundle adjustment and Kalman filtering.
文摘为更好地利用单词词性包含的语义信息和伴随单词出现时的非自然语言上下文信息,提出动态调整语义的词性加权多模态情感分析(part of speech weighted multi-modal sentiment analysis model with dynamic semantics adjustment,PW-DS)模型.该模型以自然语言为主体,分别使用基于Transformer的双向编码器表示(bidirectional encoder representation from Transformers,BERT)模型、广义自回归预训练(generalized autoregressive pretraining for language understanding,XLNet)模型和一种鲁棒优化的BERT预训练(robustly optimized BERT pretraining approach,RoBERTa)模型为文本模态做词嵌入编码;创建动态调整语义模块将自然语言和非自然语言信息有效结合;设计词性加权模块,提取单词词性并赋权以优化情感判别.与张量融合网络和低秩多模态融合等当前先进模型的对比实验结果表明,PW-DS模型在公共数据集CMU-MOSI和CMU-MOSEI上的平均绝对误差分别达到了0.607和0.510,二分类准确率分别为89.02%和86.93%,优于对比模型.通过消融实验分析了不同模块对模型效果的影响,验证了模型的有效性.
