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Deep Transfer Learning Techniques in Intrusion Detection System-Internet of Vehicles: A State-of-the-Art Review

Computers, Materials & Continua 2024年第8期80卷 2785-2813页

作者： Wufei Wu Javad Hassannataj Joloudari Senthil Kumar Jagatheesaperumal Kandala N.V.P.SRajesh Silvia Gaftandzhieva Sadiq Hussain Rahimullah Rabih najibullah haqjoo Mobeen Nazar Hamed Vahdat-Nejad Rositsa Doneva School of Information Engineering Nanchang UniversityNanchang330031China Department of Computer Engineering Technical and Vocational University(TVU)Tehran***Iran Department of Computer Engineering University of BirjandBirjand***Iran Department of Computer Engineering Babol BranchIslamic Azad UniversityBabol***Iran Department of Electronics&Communication Engineering Mepco Schlenk Engineering CollegeSivakasi626005India School of Electronics Engineering VIT-AP UniversityNear Vijayawada522237India Faculty of Mathematics and Informatics University of Plovdiv Paisii HilendarskiPlovdiv4000Bulgaria Examination Branch Dibrugarh UniversityDibrugarh786004India Department of Computer Engineering Faculty of EngineeringUniversity of BirjandBirjand***Iran Faculty of Electrical and Computer Engineering University of BirjandBirjand***Iran Malaysian Institute of Information Technology Universiti Kuala LumpurKuala Lumpur50250Malaysia Faculty of Physics and Technology University of Plovdiv Paisii HilendarskiPlovdiv4000Bulgaria

The high performance of IoT technology in transportation networks has led to the increasing adoption of Internet of Vehicles(IoV)*** functional advantages of IoV include online communication services,accident prevention,cost reduction,and enhanced traffic *** these benefits,IoV technology is susceptible to cyber-attacks,which can exploit vulnerabilities in the vehicle network,leading to perturbations,disturbances,non-recognition of traffic signs,accidents,and vehicle *** paper reviews the state-of-the-art achievements and developments in applying Deep Transfer Learning(DTL)models for Intrusion Detection Systems in the Internet of Vehicles(IDS-IoV)based on anomaly ***-IoV leverages anomaly detection through machine learning and DTL techniques to mitigate the risks posed by *** systems can autonomously create specific models based on network data to differentiate between regular traffic and *** these techniques,transfer learning models are particularly promising due to their efficacy with tagged data,reduced training time,lower memory usage,and decreased computational *** evaluate DTL models against criteria including the ability to transfer knowledge,detection rate,accurate analysis of complex data,and *** review highlights the significant progress made in the field,showcasing how DTL models enhance the performance and reliability of IDS-IoV *** examining recent advancements,we provide insights into how DTL can effectively address cyber-attack challenges in IoV environments,ensuring safer and more efficient transportation networks.

关键词： Cyber-attacks internet of things internet of vehicles intrusion detection system

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Governance of noncommunicable diseases in Afghanistan

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Chronic Diseases and Translational Medicine 2024年第3期10卷 238-246页

作者： Narges Neyazi Ali M.Mosadeghrad Maryam Tajvar najibullah Safi International Campus School of Public HealthTehran University of Medical SciencesTehranIran Department of Health System Development World Health OrganizationAfghanistan Department of Health Management Policy and EconomicsSchool of Public HealthTehran University of Medical SciencesTehranIran

Background Noncommunicable diseases(NCDs)are the main reasons of mortality *** of every two person is dying due to NCDs in *** policy actors,mainly the World Health Organization(WHO),published several reports and declarations on controlling and preventing *** study aimed to provide a situation for governance of NCDs in Afghanistan and proper solutions for identified *** We conducted qualitative research utilizing interpretive phenomenology.A self-developed questionnaire was developed to conduct the semi-structured interviews with 39 experts from *** results were analyzed using a deductive framework *** building block framework of health system developed by the WHO was used as predefined framework for this *** The governance building block of health system consists of five subthemes including policy making,planning,organizing,stewardship,and *** identified main strengths,weaknesses,opportunities,and challenges for these *** experts also provided key recommendations to address the *** Management of NCDs is a neglected part of the health system in *** evidence-based policy making with technical and indigenous planning,establishing responsive units with adequate financial and human resources within different ministries to address“health in all policies”concept,passing and implementing national laws and regulations to support national strategies for prevention and control of NCDs,and establishing decentralized monitoring systems to control the implementation of these strategies are the main recommendations of this *** government and international policy actors should invest and support the development of a multisectoral coordination system at national level for Afghanistan.

关键词： governance health in all policies health system multisectoral coordination noncommunicable diseases

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Trend analysis of noncommunicable diseases and their risk factors in Afghanistan

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慢性疾病与转化医学:英文版 2023年第3期9卷 210-221页

作者： Narges Neyazi Ali Mohammad Mosadeghrad Maryam Tajvar najibullah Safi International Campus School of Public HealthTehran University of Medical SciencesTehranIran Department of Health System Development World Health OrganizationKabulAfghanistan Department of Health Management Policy and EconomicsSchool of Public HealthTehran University of Medical SciencesTehranIran

Background:Afghanistan is suffering from 40-year chronic conflicts,displacement,and demolition of its *** mortality survey 2010 shows nearly 46%of all deaths in the country were attributed to noncommunicable diseases(NCDs).In this study,we aimed to understand the differences in mortality and premature death due to NCDs by sex and the trend for the next 8 ***:We applied trend analysis using the secondary data from the Institute for Health Metrics and Evaluation,Global Burden of Diseases *** information on NCD mortality,NCD deaths attributed to its risk factors,NCD percent of total years lived with disability(YLDs)attribution to each risk factor extracted from this database from 2008 to *** investigated the trend from 2008 to 2019 for the mentioned factors and then forecast their trends until ***:Our study shows that Afghanistan has had an increasing death number due to NCDs from 2008 to 2019(50%for both sexes)and this will reach nearly 54%by ***,half of NCDs deaths are premature in *** mortality rate and prevalence of risk factors are higher among *** than 70%of YLDs will be due to NCDs in Afghanistan till *** risk factors including high systolic blood pressure(28.3%),high body mass index(23.4%),high blood glucose(20.6%),high low-density lipoprotein cholesterol(16.3%),and smoking(12.3%)will have the highest contribution to NCDs death in 2030,***:In general,our study indicates that without any specific intervention to address NCDs in Afghanistan,not only the Sustainable Development Goal target for NCDs will not be met,but an increase in almost all risk factors prevalence,as well as NCD mortality,will be seen in Afghanistan.

关键词： Afghanistan crises control and prevention noncommunicable diseases risk factors targets trend analysis

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印尼文文本摘要的句子提取和还原

印尼文文本摘要的句子提取和还原

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作者： Ahmad najibullah 南昌大学

学位级别：硕士

是利用计算机自动地从原始文献中提取摘要,减少文档的过程。它是计算智能,机器学习和自然语言处理研究方向的一个部分。论文以印度尼西亚文的自动摘要展开研究。该研究工作集中在摘要方法的萃取;句式提取和句式约简。我们使用两种方法... 详细信息

是利用计算机自动地从原始文献中提取摘要,减少文档的过程。它是计算智能,机器学习和自然语言处理研究方向的一个部分。论文以印度尼西亚文的自动摘要展开研究。该研究工作集中在摘要方法的萃取;句式提取和句式约简。我们使用两种方法来生成摘要,朴素叶贝思用于句式提取,隐马尔可夫模型用于句式约简。摘要的第一个步骤是重要特征的识别。每个文档进行预处理,包括断句、词性标注、断词、停用词删除以及字干搜索。这项工作的第一部分是通过句式选择来生成摘要。我们使用文本特征来确定句式的重音值,例如句子位置、句子的相对长度、平均中心频率、关键字提取、关键词抽取、句子相似度的标题、句子集中性、数字数据的收录、实体名的收入以及新闻强调单词的收录。同时,我们也研究语义特征对摘要任务的影响。我们的实验表明语义在20%压缩率的情况下,将精度和量值分别提高了9.8%和2.4%在此研究的第二部分工作中,论文基于隐马尔可夫模型和词性,我们展示了一个印度尼西亚句子约简。为了从句子中自动移除无关的词语,通过自动移除句子中无关的词,完成对句子的约简。约简的结果应该是符合语法规则的简短的且保留了重要信息的。论文采用隐马尔可夫模型完成删除句子中多余和不相关内容。利用词性标注实现在预处理步骤中添加标签以及创造一个印度尼西亚语法模式。实验表明了使用词性去检测语法能够将系统处理效率提高了65.2%。

关键词：文本摘要朴素贝叶斯分类器隐马尔可夫模型文字的特点词性

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阿富汗的汉语传播现状研究

阿富汗的汉语传播现状研究

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作者：纳吉布（Adina najibullah）辽宁师范大学

学位级别：硕士

语言和人类社会有着紧密联系,随着中国经济的崛起,汉语的国际传播也需要进一步推进。随着中国与中亚地区的往来开始增多,中国与中亚地区的经济贸易互动频繁,对汉语人才的要求不断上升,形成了新型的产业链趋势。近几年,在阿富汗不仅掀起... 详细信息

语言和人类社会有着紧密联系,随着中国经济的崛起,汉语的国际传播也需要进一步推进。随着中国与中亚地区的往来开始增多,中国与中亚地区的经济贸易互动频繁,对汉语人才的要求不断上升,形成了新型的产业链趋势。近几年,在阿富汗不仅掀起了汉语热,而且中国文化的传播也取得了巨大的成绩,值得学者对之进行探讨与分析。笔者作为在中国留学的阿富汗留学生,将着重对阿富汗地区的汉语传播的现状加以分析,并以此作为研究的基点,对汉语在阿富汗的传播状况进行阐述和思考。本文主要内容如下:首先,我们着重阐述了本文的研究的背景,理清了阿富汗在内的中亚地区汉语传播的研究现状。第一章通过研究阿富汗的汉语传播历史,分析两国语言交往背景及现状,从多个方面了解阿富汗与中国的语言交往。第二章将从阿富汗孔子学院和汉语教学点的汉语教学、阿富汗现存的中文广播电视媒体及阿富汗现有的中文书籍三个方面,阐述了阿富汗的汉语传播现状,并对现状加以分析。第三章通过分析汉语在阿富汗传播对阿富汗经济的影响以及“一带一路”中经济和文化因素对汉语在阿富汗传播中起到的重要影响,找出阿富汗的汉语传播与经济的关系,并分析阿富汗的汉语传播存在的问题。第四章将针对阿富汗的汉语传播出现的问题提出几点思考,包括两国的政府、高校、人民在汉语传播中的重要作用以及在课堂教学和文化活动需要作出的努力,并针对以上几点进行了比较详细的分析。

关键词：汉语阿富汗传播汉语教学经济

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