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Improving Language Translation Using the Hidden Markov Model

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Computers, Materials & Continua 2021年第6期67卷 3921-3931页

作者： Yunpeng Chang Xiaoliang Wang Meihua Xue Yuzhen Liu frank jiang School of computer science and engineering Hunan University of Science and TechnologyXiang411201China School of Info Technology Deakin UniversityGeelong3220Australia

Translation software has become an important tool for communication between different ***’s requirements for translation are higher and higher,mainly reflected in people’s desire for barrier free cultural *** a large corpus,the performance of statistical machine translation based on words and phrases is limited due to the small size of modeling *** statistical methods rely primarily on the size of corpus and number of its statistical results to avoid ambiguity in translation,ignoring *** support the ongoing improvement of translation methods built upon deep learning,we propose a translation algorithm based on the Hidden Markov Model to improve the use of context in the process of *** translation,our Hidden Markov Model prediction chain selects a number of phrases with the highest result probability to form a *** collection of all of the generated sentences forms a topic *** probabilities and article sequences determined from the training set,our method again applies the Hidden Markov Model to form the final translation to improve the context relevance in the process of *** algorithm improves the accuracy of translation,avoids the combination of invalid words,and enhances the readability and meaning of the resulting translation.

关键词： Translation software hidden Markov model context translation

A Novel Anonymous Authentication Scheme Based on Edge Computing in Internet of Vehicles

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Computers, Materials & Continua 2021年第6期67卷 3349-3361页

作者： Xiaoliang Wang Xinhui She Liang Bai Yang Qing frank jiang Hunan University of Science and Technology Xiangtan411201China Hunan University Changsha410006China School of Information Technology Deakin UniversityGeelong3220Australia

The vehicular cloud computing is an emerging technology that changes vehicle communication and underlying trafc management ***,cloud computing has disadvantages such as high delay,low privacy and high communication cost,which can not meet the needs of realtime interactive information of Internet of *** security and privacy in Internet of Vehicles is also regarded as one of its most important ***,in order to ensure the user information security and improve the real-time of vehicle information interaction,this paper proposes an anonymous authentication scheme based on edge *** this scheme,the concept of edge computing is introduced into the Internet of vehicles,which makes full use of the redundant computing power and storage capacity of idle edge *** edge vehicle nodes are determined by simple algorithm of dening distance and resources,and the improved RSA encryption algorithm is used to encrypt the user *** improved RSA algorithm encrypts the user information by reencrypting the encryption *** with the traditional RSA algorithm,it can resist more attacks,so it is used to ensure the security of user *** can not only protect the privacy of vehicles,but also avoid anonymous *** results show that the proposed scheme has lower computational complexity and communication overhead than the traditional anonymous scheme.

关键词： Cloud computing anonymous authentication edge computing anonymity abuse

An Early Warning System for Curved Road Based on OV7670 Image Acquisition and STM32

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Computers, Materials & Continua 2019年第4期59卷 135-147页

作者： Xiaoliang Wang Wenhua Song Bowei Zhang Brandon Mausler frank jiang School of computer science and engineering Hunan University of Science and TechnologyXiangtan411201China Cisco Systems Incorporated San Jose 95134CaliforniaUSA School of IT Deakin UniversityVictoria 3216Australia

Nowadays,the number of vehicles in China has increased *** increase of the number of vehicles has also led to the increasingly complex traffic situation and the urgent safety measures in ***,the existing early warning devices such as geomagnetic,ultrasonic and infrared detection have some shortcomings like difficult installation and *** addition,geomagnetic detection will damage the road surface,while ultrasonic and infrared detection will be greatly affected by the *** the shortcomings of the existing solutions,this paper puts forward a solution of early warning for vehicle turning meeting based on image acquisition and *** solution combines image acquisition and processing technology,which uses image sensor to perceive traffic condition and image data analysis algorithm to process perceived image,and then utilize LED display screen to issue an early warning.

关键词： Curve traffic turning meeting early warning image identification vehicle detection

Image Super-Resolution Based on Generative Adversarial Networks: A Brief Review

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Computers, Materials & Continua 2020年第9期64卷 1977-1997页

作者： Kui Fu Jiansheng Peng Hanxiao Zhang Xiaoliang Wang frank jiang School of Physics and Mechanical and Electronic Engineering Hechi UniversityYizhou546300China School of Electrical and Information Engineering Guangxi University of Science and TechnologyLiuzhou545006China School of Computer Science and Engineering Hunan University of Science and TechnologyXiangtan411100China School of Information Technology Deakin UniversityGeelongVIC 3220Australia

Single image super resolution(SISR)is an important research content in the field of computer vision and image *** the rapid development of deep neural networks,different image super-resolution models have *** to some traditional SISR methods,deep learning-based methods can complete the super-resolution tasks through a single *** addition,compared with the SISR methods using traditional convolutional neural networks,SISR based on generative adversarial networks(GAN)has achieved the most advanced visual *** this review,we first explore the challenges faced by SISR and introduce some common datasets and evaluation ***,we review the improved network structures and loss functions of GAN-based perceptual ***,the advantages and disadvantages of different networks are analyzed by multiple comparative ***,we summarize the paper and look forward to the future development trends of GAN-based perceptual SISR.

关键词： Single image super-resolution generative adversarial networks deep learning computer vision

Sensitive Information Protection Model Based on Bayesian Game

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Computers, Materials & Continua 2022年第10期73卷 883-898页

作者： Yuzhen Liu Zhe Liu Xiaoliang Wang Qing Yang Guocai Zuo frank jiang School of Computer Science and Engineering Hunan University of Science and TechnologyXiangtan411201China Hunan Key Laboratory for Service computing and Novel Software Technology Xiangtan411201China College of computer and information engineering Hunan University of Technology and BusinessChangshaChina School of Computer Science and Information Engineering Guangzhou Maritime UniversityGuangzhouChina Hunan Software Vocational and Technical University XiangtanChina School of Engineering and IT University of New South WalesNSWAustralia

A game measurement model considering the attacker’s knowledge background is proposed based on the Bayesian game theory aiming at striking a balance between the protection of sensitive information and the quality of *** quantified the sensitive level of information according to the user’s personalized sensitive information protection *** on the probability distribution of sensitive level and attacker’s knowledge background type,the strategy combination of service provider and attacker was analyzed,and a game-based sensitive information protection model was *** the combination of strategies under Bayesian equilibrium,the information entropy was used to measure the leakage of sensitive ***,in the paper the influence of the sensitive level of information and the attacker’s knowledge background on the strategy of both sides of the game was considered *** on,the leakage of the user’s sensitive information was ***,the feasibility of the model was described by experiments.

关键词： Sensitive information game theory Bayesian equilibrium sensitive level information entropy

Design of Intelligent Mosquito Nets Based on Deep Learning Algorithms

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Computers, Materials & Continua 2021年第11期69卷 2261-2276页

作者： Yuzhen Liu Xiaoliang Wang Xinghui She Ming Yi Yuelong Li frank jiang Hunan University of Science and Technology Xiangtan411201China School of Info Technology Deakin UniversityGeelong3215Australia Key Laboratory of Knowledge Processing and Networked Manufacturing College of Hunan Province411201China

An intelligent mosquito net employing deep learning has been one of the hotspots in the field of Internet of Things as it can reduce significantly the spread of pathogens carried by mosquitoes,and help people live well in mosquito-infested *** this study,we propose an intelligent mosquito net that can produce and transmit data through the Internet of Medical *** our method,decision-making is controlled by a deep learning model,and the proposed method uses infrared sensors and an array of pressure sensors to collect *** the ZigBee protocol is used to transmit the pressure map which is formed by pressure sensors with the deep learning perception model,determining automatically the intention of the user to open or close the mosquito *** used optical flow to extract pressure map features,and they were fed to a 3-dimensional convolutional neural network(3D-CNN)classification model *** achieved the expected results using a nested cross-validation method to evaluate our *** learning has better adaptability than the traditional methods and also has better anti-interference by the different bodies of *** research has the potential to be used in intelligent medical protection and large-scale sensor array perception of the environment.

关键词： Internet of things smart home ZigBee protocol internet of medical things deep learning

A Location Prediction Method Based on GA-LSTM Networks and Associated Movement Behavior Information

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Journal of Information Hiding and Privacy Protection 2020年第4期2卷 187-197页

作者： Xingxing Cao Liming jiang Xiaoliang Wang frank jiang Hunan University of Science and Technology Xiangtan411201China Deakin University Geelong3216Australia

Due to the lack of consideration of movement behavior information other than time and location perception in current location prediction methods,the movement characteristics of trajectory data cannot be well expressed,which in turn affects the accuracy of the prediction ***,a new trajectory data expression method by associating the movement behavior information is *** pre-association method is used to model the movement behavior information according to the individual movement behavior features and the group movement behavior features extracted from the trajectory sequence and the *** movement behavior features based on pre-association may not always be the best for the prediction ***,through association analysis and importance analysis,the final association feature is selected from the pre-association *** trajectory data is input into the LSTM networks after associated features and genetic algorithm(GA)is used to optimize the combination of the length of time window and the number of hidden layer *** experimental results show that compared with the original trajectory data,the trajectory data associated with the movement behavior information helps to improve the accuracy of location prediction.

关键词： Location prediction information association feature selection GA-LSTM

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智能电网中终端用户的双向能量交易算法

西安电子科技大学学报 2021年第3期48卷 131-137页

作者：刘迪迪孙浩天肖佳文 jiang frank 郑鲲鲲广西师范大学电子工程学院广西壮族自治区桂林541004 广东澳鸿科技有限公司广东中山528437

针对智能电网中配备有可再生源收集装置和储能电池的终端用户,基于能量收集的随机性、电价变化和电池的存储能力,研究终端用户与电网的双向能量交易问题,目的是最大化用户的收益。采用李雅普诺夫优化理论提出的实时算法复杂度低,且不需... 详细信息

针对智能电网中配备有可再生源收集装置和储能电池的终端用户,基于能量收集的随机性、电价变化和电池的存储能力,研究终端用户与电网的双向能量交易问题,目的是最大化用户的收益。采用李雅普诺夫优化理论提出的实时算法复杂度低,且不需要知道用户能量需求、电价变化和可再生源到达的统计特性。理论分析表明,所提算法可使优化目标无限趋于最优。最后通过仿真对比,验证了所提算法的有效性,并分析了储能电池容量大小对用户收益的影响。

关键词：智能电网时变电价李雅普诺夫优化双向能量交易

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转化医学助力新药研发

中国新药杂志 2014年第8期23卷 865-870页

作者：江宁军赛诺菲亚太研发中心

大量研究结果表明,大多数后期新药研发的失败是由于疗效不确定。究其原因,往往是因为对药物靶点和疾病生物学之间的关系缺乏了解。然而,这也是运用传统研发模式的必然结果。由于基础和临床的脱节,早期临床和后期临床的脱节,传统的研发... 详细信息

大量研究结果表明,大多数后期新药研发的失败是由于疗效不确定。究其原因,往往是因为对药物靶点和疾病生物学之间的关系缺乏了解。然而,这也是运用传统研发模式的必然结果。由于基础和临床的脱节,早期临床和后期临床的脱节,传统的研发模式根本不能适应靶向药物的研发需求。本文通过对生物标记物、0期临床试验和适应性临床试验的讨论和举例来探讨转化医学在新药研发中的应用。同时,本文也有选择地列举了国内外近年来转化医学的一些成就和国内转化医学的新趋势,进一步讨论转化医学在新药研发中的潜力。毫无疑问的是,随着分子基因检测,数字影像和标记技术的不断成熟,转化医学在新药研发中的作用将会更加突出。

关键词：转化医学新药研发生物标记物 “0”期临床试验适应性设计靶向药物