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Research on Action Recognition and Content Analysis in Videos Based on DNN and MLN

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Computers, Materials & Continua 2019年第9期61卷 1189-1204页

作者： Wei Song Jing Yu xiaobing zhao Antai Wang School of Information Engineering Minzu University of ChinaBeijing100081China National language resource monitoring&Research Center Minority Languages Branch Minzu University of ChinaBeijing100081China School of Electronic Information Engineering Beijing Jiaotong UniversityBeijing100044China New Jersey Institute of Technology 323 Dr Martin Luther King Jr Blvd.NewarkNJ07102USA

In the current era of multimedia information,it is increasingly urgent to realize intelligent video action recognition and content *** the past few years,video action recognition,as an important direction in computer vision,has attracted many researchers and made much ***,this paper reviews the latest video action recognition methods based on Deep Neural Network and Markov Logic ***,we analyze the characteristics of each method and the performance from the experiment *** compare the emphases of these methods and discuss the application ***,we consider and prospect the development trend and direction of this field.

关键词： Video action recognition deep learning network markov logic network

Tibetan Question Generation Based on Sequence to Sequence Model

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维普期刊数据库

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Computers, Materials & Continua 2021年第9期68卷 3203-3213页

作者： Yuan Sun Chaofan Chen Andong Chen xiaobing zhao School of Information Engineering Minzu University of ChinaBeijing100081China Minority Languages Branch National Language Resource and Monitoring Research Center Queen Mary University of London LondonE14NSUK

As the dual task of question answering,question generation(QG)is a significant and challenging task that aims to generate valid and fluent questions from a given *** QG task is of great significance to question answering systems,conversational systems,and machine reading comprehension *** sequence to sequence neural models have achieved outstanding performance in English and Chinese QG ***,the task of Tibetan QG is rarely *** key factor impeding its development is the lack of a public Tibetan QG *** with this challenge,the present paper first collects 425 articles from the Tibetan Wikipedia website and constructs 7,234 question–answer pairs through ***,we propose a Tibetan QG model based on the sequence to sequence framework to generate Tibetan questions from given ***,in order to generate answer-aware questions,we introduce an attention mechanism that can capture the key semantic information related to the ***,we adopt a copy mechanism to copy some words in the paragraph to avoid generating unknown or rare words in the ***,experiments show that our model achieves higher performance than baseline *** also further explore the attention and copy mechanisms,and prove their effectiveness through experiments.

关键词： Tibetan question generation copy mechanism attention

Generating Questions Based on Semi-Automated and End-to-End Neural Network

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维普期刊数据库

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Computers, Materials & Continua 2019年第8期61卷 617-628页

作者： Tianci Xia Yuan Sun xiaobing zhao Wei Song Yumiao Guo The School of Information Engineering Minzu University of ChinaBeijing100081China Minority Languages Branch National Language Resource and Monitoring Research CenterBeijing100081China Queen’s University Belfast BelfastNorthern IrelandBT71NNUK

With the emergence of large-scale knowledge base,how to use triple information to generate natural questions is a key technology in question answering *** traditional way of generating questions require a lot of manual intervention and produce lots of *** solve these problems,we propose a joint model based on semi-automated model and End-to-End neural network to automatically generate *** semi-automated model can generate question templates and real questions combining the knowledge base and center *** End-to-End neural network directly sends the knowledge base and real questions to BiLSTM ***,the attention mechanism is utilized in the decoding layer,which makes the triples and generated questions more ***,the experimental results on SimpleQuestions demonstrate the effectiveness of the proposed approach.

关键词： Generating questions semi-automated model End-to-End neural network question answering

Unsupervised Graph-Based Tibetan Multi-Document Summarization

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Computers, Materials & Continua 2022年第10期73卷 1769-1781页

作者： Xiaodong Yan Yiqin Wang Wei Song xiaobing zhao A.Run Yang Yanxing School of Information and Engineering Minzu University of ChinaBeijing100081China National Language Resource Monitoring&Research Center Minority Languages BranchBeijing100081China University of California IrvineCalifornia92617USA Department of Physics New Jersey Institute of TechnologyNewarkNew Jersey07102-1982USA

Text summarization creates subset that represents the most important or relevant information in the original content,which effectively reduce information *** neural network method has achieved good results in the task of text summarization both in Chinese and English,but the research of text summarization in low-resource languages is still in the exploratory stage,especially in ***’s more,there is no large-scale annotated corpus for text *** lack of dataset severely limits the development of low-resource text *** this case,unsupervised learning approaches are more appealing in low-resource languages as they do not require labeled *** this paper,we propose an unsupervised graph-based Tibetan multi-document summarization method,which divides a large number of Tibetan news documents into topics and extracts the summarization of each *** obtained by using traditional graph-based methods have high redundancy and the division of documents topics are not detailed *** terms of topic division,we adopt two level clustering methods converting original document into document-level and sentence-level graph,next we take both linguistic and deep representation into account and integrate external corpus into graph to obtain the sentence semantic *** the shortcomings of the traditional K-Means clustering method and perform more detailed clustering of *** model sentence clusters into graphs,finally remeasure sentence nodes based on the topic semantic information and the impact of topic features on sentences,higher topic relevance summary is *** order to promote the development of Tibetan text summarization,and to meet the needs of relevant researchers for high-quality Tibetan text summarization datasets,this paper manually constructs a Tibetan summarization dataset and carries out relevant *** experiment results show that our method can effectively improve the

关键词： Multi-document summarization text clustering topic feature fusion graphic model

Review of Nodule Mineral Image Segmentation Algorithms for Deep-Sea Mineral Resource Assessment

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维普期刊数据库

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Computers, Materials & Continua 2022年第10期73卷 1649-1669页

作者： Wei Song Lihui Dong xiaobing zhao Jianxin Xia Tongmu Liu Yuxi Shi School of Information and Engineering Minzu University of ChinaBeijing100081China Key Laboratory of Marine Environmental Survey Technology and Application Ministry of Natural ResourceGuangzhou510300China National Language Resource Monitoring&Research Center of Minority Languages Minzu University of ChinaBeijing100081China School of Ocean Science China University of GeosciencesBeijing100191China Department of Buoy Engineering South China Sea Marine Survey and Technology Center of State Oceanic AdministrationGuangzhou510310China Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewarkNJ07102USA

A large number of nodule minerals exist in the deep *** on the factors of difficulty in shooting,high economic cost and high accuracy of resource assessment,large-scale planned commercial mining has not yet been *** experimental mining has been carried out in areas with high mineral density and obvious benefits after mineral resource *** an efficient method for deep-sea mineral resource assessment,the deep towing system is equipped with a visual system for mineral resource analysis using collected images and videos,which has become a key component of resource ***,high accuracy in deep-sea mineral image segmentation is the primary goal of the segmentation *** this paper,the existing deep-sea nodule mineral image segmentation algorithms are studied in depth and divided into traditional and deep learning-based segmentation methods,and the advantages and disadvantages of each are compared and *** deep learning methods show great advantages in deep-sea mineral image segmentation,and there is a great improvement in segmentation accuracy and efficiency compared with the traditional ***,the mineral image dataset and segmentation evaluation metrics are ***,possible future research topics and improvement measures are discussed for the reference of other researchers.

关键词： Polymetallic nodule deep-sea mining image segmentation deep learning

Mechanical and Galvano-chemistry Property Variation within Dissimilar Metal Weld between 1Cr18Ni9Ti and 1Cr13 Stainless Steel

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Journal of Materials Science & Technology 2010年第5期26卷 477-480页

作者： Yongtao zhao ,Junhui Dong,Yonglin Ma,Liping zhao and xiaobing Pei Material and Metallurgy Engineering School,University of Science and Technology Inner Mongolia,Baotou 014010,China [a] Material and Metallurgy Engineering School University of Science and Technology Inner Mongolia Baotou 014010 China

The purpose of this study is to discuss the microstructure and properties variation of the weld metal in the dissimilar stainless steels during the argon tungsten-arc welding *** of the existence of different materials and chemistry variation within welds,properties,such as tensile and fracture properties and so on,are expected to show spatial *** the study,microstructures were observed by optical and electron *** appearance and uniform structure and typical dendrite structure were observed in welding *** micro-hardness tester and electronic universal stretcher were used to measure the mechanical properties of the weldments and base *** heat affected zone（HAZ） near 1Cr13 hardness is up to peak value of 1150 HV,the strength of weldments is nearly same as austenite stainless *** addition,through seawater immersion test,polarization curves and AC impedance spectroscopy of the weldments and base metals are *** was found that corrosion resistance at welding joint lies between 1C13 and 1Cr18Ni9Ti.

关键词： 1Cr13,1Cr18Ni9Ti Welding joint Mechanical and galvano-chemistry property

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Labrang Monastery

大视野 2006年第7期 64-65页

作者： zhao xiaobing

IliftthecurtainafterIwakeupatfiveo’***’***,Gansuprovince,whereisoneofthecradleofTibetBuddhismculture.

关键词： golden sunshine morning Tibet stand bright street

Hada Present Hainan Airlines

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大视野 2006年第8期 52-53页

作者： zhao xiaobing

In recent,an airbus A319 of Hainan Airlines landed atKonka Airport of Lhasa,where is located at *** fact,Hainan Airlines already opened the routeXi’an—***,Hainan Airlines began its new routeTaiyuan—Xi’an—Lhasa,Changzhi—Xi’an—Lhasa,Haikou—Xi’an—Lhasa and Beijing—Xi’an—*** we known,Xi’an=lhasa,the flight is implemented by theairbus A319 of Hainan *** airbus departs from Xi’anat 8:10 am every Monday,Wednesday,Friday and Sunday,andarriving in Lhasa at 11:10 am the same *** the return trip,plane leave Lhasa at 12:00 every Monday,Wednesday,Fridayand Sunday,arriving in Xi’an at 2:35 pm in the *** scheduled flight number is HU7857/8.

关键词： scheduled Sunday leave Friday return afternoon ope

文学翻译:意义筹划与突显论以《静静的顿河》中译为例

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俄罗斯文艺 2016年第2期 46-54页

作者：赵小兵四川外国语大学

探究文学语篇中的"意义",把哲学解释学和认知语言学的概念运用于译学研究,从译者的翻译行为角度,论述一种新的翻译"意义"观——译者对意义的筹划与突显。主要从金人先生和力冈先生翻译的《静静的顿河》中举例,进行翻译研究。

关键词：文学翻译意义筹划意义突显哲学解释学翻译实证《静静的顿河》