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Definition of Reputation Credits
Li Yiping
Name: Hu Pengfei Gender: Male Date of birth: 1990.04.30
Native place: Nanyang City, Henan Province, political landscape: Communist Party members Education: Dr.
E-mail: [email protected] Tel: 18811349052 Job intention: cognitive computing, knowledge engineering, semantic networking, Internet of things identity and search, fog calculation
Educational experience
Experienced one, 2017.05-present University of Germany and Germany Ford University computer science and information technology exchange study
Experience two, 2012.09 - so far Beijing University of Science and Technology machine science and technology master Bo even read
Experience three, 2008.09-2012.06 Zhengzhou Institute of Aeronautical Industry Management Network Engineering undergraduate
Research Experience
Project one
Based on the knowledge of the object discovery technology and the Internet of things search: the combination of intelligent old age and intelligent home scene, put forward a knowledge-based software definition device resource discovery method; combined with the identity of the object identification and semantic description model, designed and developed based on fog calculation and cloud The physical entity search system is calculated, and the new calculation model of fog calculation is reviewed. According to the knowledge discovery method and the Internet of things, the author tries to find out the resource discovery method based on the knowledge-based software definition device. Combining with the identity and semantic description of the object Model, the physical entity search system based on fog calculation and cloud computing is designed and developed, and the new calculation model of fog calculation is reviewed. Related research has been formed for a SCI paper;
Project II
Semantic Web and Software Definition Device: A semantic shared description model based on semantic-based physical entities (including human, device, etc.) in the Internet of Things is proposed based on semantic web and knowledge engineering (knowledge-driven artificial intelligence) technology. The concept and architecture of "software definition device", and the abstract and description model of resource definition device resource based on semantic software are proposed. The research is based on semantic web and knowledge engineering (knowledge-driven artificial intelligence) technology, and proposes a semantic-based physical entity in the Internet of Things (including people, equipment, etc.). ) The concept and architecture of "software definition device" and the abstract and description model of resource definition device resource are proposed for the unified management, sharing and reuse of heterogeneous M2M device resources. Related research is currently forming an SCI paper;
Project III
On the basis of ID class identification technology (eg EPC, uID), this paper proposes a physical entity identity model based on natural attributes, and a multiple combined identity identification model based on ID identification and natural attribute characteristics. Taking the face feature as an example, this paper proposes a face - based identity and search scheme, its security and privacy protection mechanism, and develops a face recognition and search system based on fog calculation and cloud computing. Related research has formed three articles for SCI papers, one of the field of industrial information in the field of international top journals hired. On the basis of ID class identification technology (eg EPC, uID), this paper proposes a physical entity identity model based on natural attributes, and a multiple combined identity identification model based on ID identification and natural attribute characteristics. Taking the face feature as an example, this paper proposes a face - based identity and search scheme, its security and privacy protection mechanism, and develops a face recognition and search system based on fog calculation and cloud computing. Related research has formed three articles for SCI papers, one of the field of industrial information in the field of international top journals hired.
科研成果
Pengfei Hu, Huansheng Ning, Tie Qiu, Yanfei Zhang, and Xiong Luo, “Fog Computing-Based Face Identification and Resolution Scheme in Internet of Things,” IEEE Transactions on Industrial Informatics, vol. 13, no. 4, pp. 1910-1920, 2017. (SCI，JCR一区（Top期刊），IF：6.764)
Pengfei Hu, Huansheng Ning, Tie Qiu, Houbing Song, Yanna Wang, and Xuanxia Yao, “Security and Privacy Preservation Scheme of Face Identification and Resolution Framework Using Fog Computing in Internet of Things,” IEEE Internet of Things Journal, 2017. (SCI，JCR一区，IF：7.596) Pengfei Hu, Huansheng Ning, Tie Qiu, Yue Xu, Xiong Luo, and Arun Kumar Sangaiah, “A unified face identification and resolution scheme using cloud computing in Internet of Things,” Future Generation Computer Systems, 2017. (SCI，JCR一区，IF：3.997) Pengfei Hu, Sahraoui Dhelim, Tie Qiu, and Huansheng Ning, “Survey on Fog Computing: Architecture, Key Technologies, Applications and Open Issues,” Journal of Network and Computer Applications, 2017. (SCI，JCR一区，IF：3.5，审稿中)一
經歷
經歷一，2016 年 5 月 - 至今2015.1至今 物联网中物理对象的建模及隐私保护研究（国家自然科学基金面上项目）
负责物联网中物理对象的身份标识建模和解析部分的研究； 在ID类标识技术（如：EPC、uID）的基础上，重点研究利用对象自身的属性信息（如：生物特征、时空信息、物理属性等）进行身份标识建模，并实现基于雾计算和云计算的对象身份标识解析系统； 研究ID类标识和属性信息的关联组合机制，实现物理对象多重组合身份标识建模及形式化表达方法。
經歷二， 2014.3至2015.12 中远网络物流信息科技有限公司物流新技术研发
设计多级包装标识编码和解析方案，解决浙江中烟工业有限责任公司成品烟多级包装标识编码需求；并负责多级包装标识和解析系统的研发； 负责设计烟草产品全程供应链智慧物联网解决方案，包括：烟草产品标识编码和解析系统、射频识别系统、基于二维码的产品跟踪系统、烟草物流中的安全方案等； 负责云南中烟工业有限责任公司物流综合管控平台的解决方案设计。
經歷三， 2013.1至2014.2 智能问答系统
研究中文语句的关键词信息、语义信息对语句相似度计算的影响，提出一种融合多元信息的语句相似度计算方法； 结合同义词林，利用Aiml技术构建娱乐信息领域的知识库； 开发一个娱乐信息领域的智能问答系统，帮助用户快速、准确的获取电视节目信息、娱乐资讯等信息。
实习經歷
經歷一，2013 年 3月 - 2014.2北京航海星空科技有限责任公司 软件开发实习生
项目名称：甘肃省舟曲县地质灾害预警系统； 开发环境： C# + Jquery+ SQLSever + .net framework 4.0； 项目职责：参与项目的需求分析和方案设计；负责基于ArcGIS的舟曲县各乡镇基本信息管理和灾害演练子系统，以及县乡村预案管理、监测站信息管理、实时雨情展示、灾害预评估等功能的开发和测试。
經歷二， 2012.9-2013.3 万方数据股份有限公司 软件开发实习生
项目名称：万方公司ISTIC专利数据加工与管理维护系统； 开发环境： C# + SQLSever + .net framework 4.0； 项目职责：参与项目的沟通协调、需求分析、功能模块设计；负责根据不同来源的专利数据和不同的加工需求，制定具体的处理规则，开发实现基于定制规则的专利数据加工与管理维护系统。
Li Yiping
Name: Hu Pengfei Gender: Male Date of birth: 1990.04.30
Native place: Nanyang City, Henan Province, political landscape: Communist Party members Education: Dr.
E-mail: [email protected] Tel: 18811349052 Job intention: cognitive computing, knowledge engineering, semantic networking, Internet of things identity and search, fog calculation
Educational experience
Experienced one, 2017.05-present University of Germany and Germany Ford University computer science and information technology exchange study
Experience two, 2012.09 - so far Beijing University of Science and Technology machine science and technology master Bo even read
Experience three, 2008.09-2012.06 Zhengzhou Institute of Aeronautical Industry Management Network Engineering undergraduate
Research Experience
Project one
Based on the knowledge of the object discovery technology and the Internet of things search: the combination of intelligent old age and intelligent home scene, put forward a knowledge-based software definition device resource discovery method; combined with the identity of the object identification and semantic description model, designed and developed based on fog calculation and cloud The physical entity search system is calculated, and the new calculation model of fog calculation is reviewed. According to the knowledge discovery method and the Internet of things, the author tries to find out the resource discovery method based on the knowledge-based software definition device. Combining with the identity and semantic description of the object Model, the physical entity search system based on fog calculation and cloud computing is designed and developed, and the new calculation model of fog calculation is reviewed. Related research has been formed for a SCI paper;
Project II
Semantic Web and Software Definition Device: A semantic shared description model based on semantic-based physical entities (including human, device, etc.) in the Internet of Things is proposed based on semantic web and knowledge engineering (knowledge-driven artificial intelligence) technology. The concept and architecture of "software definition device", and the abstract and description model of resource definition device resource based on semantic software are proposed. The research is based on semantic web and knowledge engineering (knowledge-driven artificial intelligence) technology, and proposes a semantic-based physical entity in the Internet of Things (including people, equipment, etc.). ) The concept and architecture of "software definition device" and the abstract and description model of resource definition device resource are proposed for the unified management, sharing and reuse of heterogeneous M2M device resources. Related research is currently forming an SCI paper;
Project III
On the basis of ID class identification technology (eg EPC, uID), this paper proposes a physical entity identity model based on natural attributes, and a multiple combined identity identification model based on ID identification and natural attribute characteristics. Taking the face feature as an example, this paper proposes a face - based identity and search scheme, its security and privacy protection mechanism, and develops a face recognition and search system based on fog calculation and cloud computing. Related research has formed three articles for SCI papers, one of the field of industrial information in the field of international top journals hired. On the basis of ID class identification technology (eg EPC, uID), this paper proposes a physical entity identity model based on natural attributes, and a multiple combined identity identification model based on ID identification and natural attribute characteristics. Taking the face feature as an example, this paper proposes a face - based identity and search scheme, its security and privacy protection mechanism, and develops a face recognition and search system based on fog calculation and cloud computing. Related research has formed three articles for SCI papers, one of the field of industrial information in the field of international top journals hired.
科研成果
Pengfei Hu, Huansheng Ning, Tie Qiu, Yanfei Zhang, and Xiong Luo, “Fog Computing-Based Face Identification and Resolution Scheme in Internet of Things,” IEEE Transactions on Industrial Informatics, vol. 13, no. 4, pp. 1910-1920, 2017. (SCI，JCR一区（Top期刊），IF：6.764)
Pengfei Hu, Huansheng Ning, Tie Qiu, Houbing Song, Yanna Wang, and Xuanxia Yao, “Security and Privacy Preservation Scheme of Face Identification and Resolution Framework Using Fog Computing in Internet of Things,” IEEE Internet of Things Journal, 2017. (SCI，JCR一区，IF：7.596) Pengfei Hu, Huansheng Ning, Tie Qiu, Yue Xu, Xiong Luo, and Arun Kumar Sangaiah, “A unified face identification and resolution scheme using cloud computing in Internet of Things,” Future Generation Computer Systems, 2017. (SCI，JCR一区，IF：3.997) Pengfei Hu, Sahraoui Dhelim, Tie Qiu, and Huansheng Ning, “Survey on Fog Computing: Architecture, Key Technologies, Applications and Open Issues,” Journal of Network and Computer Applications, 2017. (SCI，JCR一区，IF：3.5，审稿中)一
經歷
經歷一，2016 年 5 月 - 至今2015.1至今 物联网中物理对象的建模及隐私保护研究（国家自然科学基金面上项目）
负责物联网中物理对象的身份标识建模和解析部分的研究； 在ID类标识技术（如：EPC、uID）的基础上，重点研究利用对象自身的属性信息（如：生物特征、时空信息、物理属性等）进行身份标识建模，并实现基于雾计算和云计算的对象身份标识解析系统； 研究ID类标识和属性信息的关联组合机制，实现物理对象多重组合身份标识建模及形式化表达方法。
經歷二， 2014.3至2015.12 中远网络物流信息科技有限公司物流新技术研发
设计多级包装标识编码和解析方案，解决浙江中烟工业有限责任公司成品烟多级包装标识编码需求；并负责多级包装标识和解析系统的研发； 负责设计烟草产品全程供应链智慧物联网解决方案，包括：烟草产品标识编码和解析系统、射频识别系统、基于二维码的产品跟踪系统、烟草物流中的安全方案等； 负责云南中烟工业有限责任公司物流综合管控平台的解决方案设计。
經歷三， 2013.1至2014.2 智能问答系统
研究中文语句的关键词信息、语义信息对语句相似度计算的影响，提出一种融合多元信息的语句相似度计算方法； 结合同义词林，利用Aiml技术构建娱乐信息领域的知识库； 开发一个娱乐信息领域的智能问答系统，帮助用户快速、准确的获取电视节目信息、娱乐资讯等信息。
实习經歷
經歷一，2013 年 3月 - 2014.2北京航海星空科技有限责任公司 软件开发实习生
项目名称：甘肃省舟曲县地质灾害预警系统； 开发环境： C# + Jquery+ SQLSever + .net framework 4.0； 项目职责：参与项目的需求分析和方案设计；负责基于ArcGIS的舟曲县各乡镇基本信息管理和灾害演练子系统，以及县乡村预案管理、监测站信息管理、实时雨情展示、灾害预评估等功能的开发和测试。
經歷二， 2012.9-2013.3 万方数据股份有限公司 软件开发实习生
项目名称：万方公司ISTIC专利数据加工与管理维护系统； 开发环境： C# + SQLSever + .net framework 4.0； 项目职责：参与项目的沟通协调、需求分析、功能模块设计；负责根据不同来源的专利数据和不同的加工需求，制定具体的处理规则，开发实现基于定制规则的专利数据加工与管理维护系统。