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Multiple Knowledge Representation of Artificial Intelligence

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Engineering 2020年第3期6卷 216-217页

作者： yunhe pan Institute of Artificial Intelligence Zhejiang UniversityHangzhou 310027China Zhejiang Lab Hangzhou 311121China

In the 1970s,cognitive psychology recognized that the information in the long-term memory is scene and semantic[1]and may be encoded in parallel as verbal and mental imagery[2].In 1991,I pointed out that not all verbal propositions can be derived from the verbal system,and that many can only be transformed from the imagery system[3].I have proposed the concept of visual knowledge,which consists of visual concepts,visual propositions,and visual narratives[4].Visual knowledge can simulate the various spatiotemporal operations that a person can perform on a mental imagery in his/her brain,such as the design process[5].

关键词： visual knowledge Visual

China＇s Urban Infrastructure Challenges

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Engineering 2016年第1期2卷 29-32页

作者： yunhe pan Former Executive Vice President Chinese Academy of Engineering

To meet people＇s needs in daily life, production, and recreation, city infrastructure including a wide variety of structures, such as stores, factories, office buildings, houses, roads, and pipelines, have been built. The rapid growth of urban populations, along with people＇s pursuit of a better life, have led to a greater demand for buses, railways, airways, cars, and subways; to larger scales of production, logistics, transportation, and waste; and to the estab- lishment of service facilities, such as mails, banks, sewage treat- ment facilities, telecommunication infrastructures, data centers,

关键词：城市基础设施中国电信基础设施城市人口服务设施设备设施污水处理数据中心

The City Intelligence Quotient （City IQ） Evaluation System＂ Conception and Evaluation

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Engineering 2016年第2期2卷 196-211页

作者： Zhiqiang Wu yunhe pan Qiming Ye Lingyu Kong Tongji University Shanghai 200092 China Chinese Academy of Engineering Beijing 100088 China

After a systematic review of 38 current intelligent city evaluation systems （ICESs） from around the world, this research analyzes the secondary and tertiary indicators of these 38 ICESs from the perspec- tives of scale structuring, approaches and indicator selection, and determines their common base. From this base, the fundamentals of the City Intelligence Quotient （City IOD Evaluation System are developed and five dimensions are selected after a clustering analysis. The basic version, City IQ Evaluation System 1.0, involves 275 experts from 14 high-end research institutions, which include the Chinese Academy of Engineering, the National Academy of Science and Engineering （Germany）, the Royal Swedish Academy of Engineering Sciences, the Planning Management Center of the Ministry of Housing and Urban-Rural Development of China, and the Development Research Center of the State Council of China. City IQ Evaluation System 2.0 is further developed, with improvements in its universality, openness, and dy- namic adjustment capability. After employing deviation evaluation methods in the IQ assessment, City IQ Evaluation System 3.0 was conceived. The research team has conducted a repeated assessment of 41 intelligent cities around the world using City IQ Evaluation System 3.0. The results have proved that the City IQ Evaluation System, developed on the basis of intelligent life, features more rational indicators selected from data sources that can offer better universality, openness, and dynamics, and is more sen- sitive and precise.

关键词： iCity Evaluation system Open data Intelligent city-being Intelligence quotient

On visual understanding

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Frontiers of Information Technology & Electronic Engineering 2022年第9期23卷 1287-1289页

作者： yunhe pan Institute of Artificial Intelligence College of Computer Science and TechnologyZhejiang UniversityHangzhou310027China Zhejiang Lab HangzhouChina

1 Problems and development in the field of visual recognition From the beginning of artificial intelligence(AI),pattern recognition has been an important aspect of the *** recent years,the maturity of deep neural networks(DNNs)has significantly improved the accuracy of visual *** has been widely used in applications such as medical image classification,vehicle identification,and facial recognition,and has thus promoted the development of the Al industryto a climax.

关键词： visual artificial networks

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Urban Big Data and the Development of City Intelligence

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Engineering 2016年第2期2卷 171-178页

作者： yunhe pan Yun Tian Xiaolong Liu Dedao Gu Gang Hua Chinese Academy of Engineering Beijing 100088 China College o.flnformation Science and Technology Beijing ormal University Beijing 100875 China Department of Automation Tsinghua University Beijing 100084 China Ningbo Academy o/Smart City Development Ningbo Zhejiang 315048 China

This study provides a definition for urban big data while exploring its features and applications of Chi- na＇s city intelligence. The differences between city intelligence in China and the ＂smart city＂ concept in other countries are compared to highlight and contrast the unique definition and model for China＇s city intelligence in this paper. Furthermore, this paper examines the role of urban big data in city intel- ligence by showing that it not only serves as the cornerstone of this trend as it also plays a core role in the diffusion of city intelligence technology and serves as an inexhaustible resource for the sustained development of city intelligence. This study also points out the challenges of shaping and developing of China＇s urban big data. Considering the supporting and core role that urban big data plays in city intel- ligence, the study then expounds on the key points of urban big data, including infrastructure support, urban governance, public services, and economic and industrial development. Finally, this study points out that the utility of city intelligence as an ideal policy tool for advancing the goals of China＇s urban de- velopment. In conclusion, it is imperative that China make full use of its unique advantages-including using the nation＇s current state of development and resources, geographical advantages, and good hu- man relations-in subjective and objective conditions to promote the development of city intelligence through the proper application of urban big data.

关键词： Urban big data City intelligence Ternary space Construction emphases

Facilities Provided by ISDN for Telemedicine

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Journal of Systems Engineering and Electronics 1999年第3期10卷 7-14页

作者： Al-Kassab, Mohammed Hmeed Ahmed Lu, Dongming pan, yunhe National Key Lab. of CAD & CG Dept. of Computer Science Zhejiang University Hangzhou P. R. China

In this paper, we discuss the advantages of integrated services digital network (ISDN) as an infrastructure for telemedicine applications. The facilities provided by ISDN, which are necessary to telemedicine, are listed and some of the ISDN solutions to telemedicine are discussed. Some of the current popular telemedicine systems that based on ISDN are mentioned, with some discussion of the future ISDN telemedicine applications.

关键词： Telemedicine ISDN Telehealth Telecommunication Healthcare delivery

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Multiple knowledge representation for big data artificial intelligence:framework,applications,and case studies

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Frontiers of Information Technology & Electronic Engineering 2021年第12期22卷 1551-1558页

作者： Yi YANG Yueting ZHUANG yunhe pan College of Computer Science and Technology Zhejiang UniversityHangzhou 310027China

In this paper,we present a multiple knowledge representation(MKR)framework and discuss its potential for developing big data artificial intelligence(AI)techniques with possible broader impacts across different AI ***,canonical knowledge representations and modern representations each emphasize a particular aspect of trans-forming inputs into symbolic encoding or *** example,knowledge graphs focus on depicting semantic connections among concepts,whereas deep neural networks(DNNs)are more of a tool to perceive raw signal inputs.

关键词： representation canonical symbolic

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英文摘要

中国远程教育 2018年第5期 79-80页

作者： yunhe pan

Acquisition of time-varying 3D foot shapes from video

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Science China(Information Sciences) 2011年第11期54卷 2256-2268页

作者： GAO Fei,WANG Qing,GENG WeiDong & pan yunhe State Key Lab of CAD & CG,Zhejiang University,Hangzhou 310027,China State Key Lab of CAD & CG Zhejiang University Hangzhou China

The 3D scanning of time-varying objects based on multi-view geometry has been a hot topic in computer vision in recent *** paper presents an active approach to acquiring 3D shapes of moving foot from multi-view video sequences based on the explicit marker points woven in *** reference 3D model of foot is firstly recovered from the starting frames in the multi-view video clips,and then the markers in each view are traced as a whole based on a continuous motion vector field built from the reference 3D *** missing vertices in the candidate 3D model caused by self-occlusion,non-uniform illumination and random noises are reliably estimated and reconstructed in 3D space by minimizing the changes of differential features in 3D geometry of the reference *** experimental results show that our method can robustly recover the 3D model of foot in complex background even if there is a relatively large movement between the adjacent frames,with an acceptable accuracy of the resulting 3D model.

关键词： time-varying shapes 3D foot modeling feature tracking multi-view geometry