|||
【征文通知】2021 IEEE数字孪生和平行智能国际会议Session征稿进行中,欢迎投稿!
2021年7月15日至8月15日,2021 IEEE数字孪生和平行智能国际会议(DTPI 2021)将在中国北京召开,本次会议由IEEE射频识别专委会、中国自动化学会共同主办,会议将采用线上线下相结合的形式,线上共设置三十余场Online Session,目前各Session征稿正在进行中,欢迎各位专家学者、科研从业者及学生在线投稿!
2021 IEEE数字孪生和平行智能国际会议(DTPI 2021)将报告和讨论以数字孪生和平行智能为中心的智能技术的前沿学术和工业界成果的最新进展。其具体领域包括但是不限于数字孪生与平行智能理论与方法,以及工业互联网、智能交通、智慧能源、机器人、智能制造等垂直应用领域。会议议程将从2021年7月15日持续至8月15日,包括1场线下开幕式活动和多场线上特别分会场活动,接收的会议论文将会以口头或海报形式报告。本次会议接收的论文将在符合IEEE Xplore的范围和质量要求的前提下提交到IEEE Xplore。
DTPI 2021共设置社会交通、平行能源、平行城市、平行海洋系统、平行影像、区块链与知识自动化、智能数据分析与应用、平行艺术等三十余场 Online Session,目前已审核通过的Session信息如下,欢迎相关科研领域科技工作者积极投稿参与交流!(详情可见本文下方详细信息或登陆官网页面https://www.dtpi.org/submission/call-for-papers查看详情,信息持续更新中)
Session
Title: Social Transportation
Proposers:Yuanyuan Chen;Xiao Wang
Introduction:The ubiquity of mobile communication devices and the prosperity of location-based services are turning people and devices into ubiquitous social sensors for transportation. They have enabled substantial progress in the domain of social transportation. Social transportation is the study of how these changing research and engineering challenges lead to new explorations into intelligent transportation systems. The aim of this session is to provide a forum to exchange ideas, discuss solutions, and share experiences from industry, researchers and the public sector. We solicit original papers covering different aspects of social transportation, including design, models, algorithms, field applications and new paradigms.
Session
Title: Parallel City
Proposers: Xiaodong Zhang;Yisheng Lv;Yu Zhang
Introduction:Parallel City, an emerging field and paradigm of urban management and control, is based on Cyber-Physical-Social Systems (CPSS). This session aims on encouraging researchers and practitioners to handle city management more effectively by introducing CPSS-based parallel city, which can make a better use of the new ICT technologies. We hope this session can attract urban researchers and practitioners to join us along this promising new direction. List of topics include but are not limited to cyber-physical-social systems for urban management and control, knowledge automation for parallel city, big data for parallel city parallel, software-defined urban systems, computational urban systems, agent-based urban systems, digital twin for urban systems, crowdsourcing mechanisms for city-based internet of everything, AI for next generation urban systems, human-in-the-loop for urban planning and management, etc.
Session
Title: Parallel Driving with Digital Twins for Connected and Automated Vehicles
Proposers: Chen Lv;Xiaoxiang Na;Feihu Zhang;Yang Xing
Introduction: In the context of DT, the emerging parallel driving, which is a cloud-based methodology leveraging the features of cyber-physical social systems, DT and PI, aims at synergizing connected automated driving and offers an ample solution for achieving smarter, safer and more sustainable mobilities in the future. This special session aims to compile the latest research and development advances in parallel driving, digital twins, and their applications in CAVs.
Session
Title: Parallel Images
Proposers: Weiping Ding
Introduction: The Session on Parallel Images aims to investigate both the new theories and methods on how images analysis can be achieved with different DT and parallel intelligence algorithms, and how DT and parallel intelligence can be adopted in images analysis and the applications of images analysis with DT and parallel intelligence in real-world problems. This will deliver a snapshot of the latest advances in the contribution of DT and parallel intelligence to the field of images analysis.
Session
Title: Blockchain and Knowledge Automation
Proposer: Yong Yuan
Introduction: Blockchain has attracted intensive attention in both research and applications in recent years. Blockchain is essential to knowledge automation, which can be considered as a novel direction for further development of Artificial Intelligence technology and a normal general framework for dealing with management and control of complex systems. Many issues need to be addressed and further investigations are critical for future development. Therefore, to stimulate innovation in this new direction, this session aims to call for the state-of-the-art works on blockchain and knowledge automation.
Session
Title: Intelligent Data Analysis and Application
Proposers: Feng Xu;Yang Shen
Introduction: The Session on Intelligent Data Analysis and Application aims to discuss new methods or innovative applications with respect to areas such as information studies, economic management and financial. These areas are paying more and more attention to intelligent analysis based on big data, in order to provide better intelligence support and services for relevant decision-making.
Session
Title: Parallel Control of Power Generation
Proposers: Weimin GUO;Feng YIN
Introduction: The direction of parallel control of power generation is mainly for the key requirements of power generation process control, such as the intelligent optimization parallel controller of the core regulation system, and the parallel optimization of the regulation performance of the main body of the power market. Based on parallel theory and using advanced intelligent methods supported by mature intelligent control theory, the parallel system solves the pain points and difficulties faced in unit operation control, such as variable control objects, high operation intensity, unpredictable process risks, and uncontrollable power market operation performance in order to realize the parallel control and intelligent optimization of the core area of power plant process control.
Session
Title: Parallel Management
Proposers: Rui Qin;Dayong Shen
Introduction: The Session on Parallel Management aims to bring together industrial engineers and researchers of the field of parallel management, and provide a prime international platform for researchers, industry practitioners and domain experts tao exchange their latest fundamental advances in parallel management related areas, including but not limited to parallel management theory and methods, modeling of artificial system and complex system, psychological, cognitive and behavioral studies of individuals and groups, management decision and evaluation system, complex system and complex network modeling, and research and applications of agent technology, artificial intelligence, data mining, human-computer interaction and other information technology in management.
Session
Title: Social Computing and Group Intelligence
Proposers: Fei-Yue Wang;Jun Zhang;Xiaolong Zheng;Xiao Wang
Introduction: The Session on Social Computing and Digital Economy aims to bring together the leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on Social Computing and Digital Economy. It also provides a premier interdisciplinary platform for researchers, practitioners, and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the field of Social Computing and Digital Economy.
Session
Title: Federated Ecology with Digital Twins
Proposers: Xiao Wang;Yonglin Tian
Introduction: The Session on Federated Ecology with Digital Twins aims at presenting state-of-the-art methodologies and approaches on federated ecology and digital twins to promote their further development. Both the theories or architectures on federated ecology, such as federated data, federated control, federated management and federated services, and the applications of federated ecology on different areas, such as financial industry, manufacturing industry and our daily life, are welcomed.
Session
Title: Parallel Sensing
Proposers: Long Chen;Yu Shen
Introduction: The Session on parallel sensing aims to construct a novel solution for intelligent sensors, break through the limitations of the traditional data acquisition functions of sensors, and create an integrated platform for data acquisition, data generation and data management. Based on the idea of “local simple, remote complex”, each sensor was integrated into the framework of parallel control and management with features of combinations of virtual and reality, to form a digital quadruplets systems of description, prediction, prescription and real elements. As guardians of the local real sensor, the digital twin in the cloud completes complex computational experiments, thus intervening and prescript the local sensor and achieving the best balance between working efficiency and power consumption of sensors.
Session
Title: Learning and Optimization for Cyber-Physical-Social Systems
Proposers: Gang Xiong;Pingyu Jiang
Introduction: The Special Session on “Learning and Optimization for Cyber-Physical-Social Systems” provides a high-profile, leading-edge forum for researchers, engineers, and practitioners to present their state-of-art advances and innovations about CPSS’s theoretical foundations, systems, infrastructure, tools, testbeds, and applications, as well as to identify emerging research topics and define the future. We encourage representatives from academia and industry to submit interesting papers which invent new techniques, introduce innovative methodologies, and propose new research directions.
Session
Title: Parallel Robotics with Digital Twins
Proposers: Shuangyi Wang;Bin Hu
Introduction: The objective of the Session on Parallel Robotics with Digital Twins is to highlight the applications of the DTPI technologies on robotics. With the development of machine intelligence, robotics systems are used in more and more complex tasks and scenarios in recent years. In many cases, the conventional on-site programming methods are no longer sufficient to solve the complexity of the task. Therefore, it is necessary to apply DTPI techniques in mathematical or computer space to robotics to realize the full potential of human-robot collaborative system. This includes but not limited to the virtual representation of robots with sensor data and CAD models, semantic representation of the working environments, advanced pre-planning and navigation techniques employed to dynamically update the robot controller. The proposed session aims to bring together researchers, industry practitioners, and individuals working on the related areas to share their new ideas, latest findings, and state-of-the-art results.
Session
Title: Parallel Vision
Proposers: Chao Gou;Kunfeng Wang
Introduction: The session on Parallel Vision with Digital Twins focuses on recent theoretical development and practical applications of parallel vision, which includes, but is not limited to:
Deep generative models related to image synthesis
1.Image-to-image translation and video-to-video translation
2.Deep neural networks that learn from real and synthetic images
3.Real-virtual interactive parallel vision
4.Intelligent visual computing/perception with parallel vision framework
5.Applications of parallel vision to intelligent systems (autonomous vehicles, visual monitoring systems, robots, and so on)
Session
Title: Knowledge Automation with the Digital Twin
Proposers: Zhen Shen;Hualin Yang
Introduction:
The Session on Knowledge Automation with the Digital Twin aims to improve the level of knowledge automation by digital twin. Knowledge automation is an extension and enhancement of information automation. It is a basis for shifting from automation control in the physical world to intelligent management of human society, which can only be realized and perfected with the help of automation in a virtual space. A digital twin is a virtual representation that serves as the real-time digital counterpart of a physical object or process. Therefore, digital twin technology is crucial for knowledge automating.
Session
Title: Social Transportation
Proposers: Yuanyuan Chen;Xiao Wang
Introduction: The ubiquity of mobile communication devices and the prosperity of location-based services are turning people and devices into ubiquitous social sensors for transportation. They have enabled substantial progress in the domain of social transportation. Social transportation is the study of how these changing research and engineering challenges lead to new explorations into intelligent transportation systems. The aim of this session is to provide a forum to exchange ideas, discuss solutions, and share experiences from industry, researchers and the public sector. We solicit original papers covering different aspects of social transportation, including design, models, algorithms, field applications and new paradigms.
Session
Title: Parallel Manufacture
Proposers: Yansong Cao;Yanchen Gao;Huaiyu Wu
Introduction: The Session on parallel manufacture aims to solve the costly and time consuming problem in real autonomous industrial manufacturing system. For example, real-time monitoring the whole production line is important and necessary in real factories. However, the cost for monitoring and the consequence of negligent monitoring is tremendous. To avoid using personnel to monitor the production process, parallel manufacture provides an alternative and effective way. Parallel manufacture models the specific input and output parameters in each step of the entire production process, realizing synchronous experiments in virtual factories. In this virtual factory, we could achieve real-time monitoring, find design deficiency and evaluate production efficiency with lowest cost.
Session
Title: Parallel Security and Privacy
Proposers: Yidong Li;Zheli Liu
Introduction: The session on Parallel Security and Privacy aims to brainstorm major security challenges AI and ML are facing within untrusted environments, identify major of attacks scenarios and landscapes and raise serious security awareness while AI/ML goes into main stream of business deployments, and identify major security impacts to real AI/ML applications. It will provide a premier forum in which academic researchers and industry practitioners from cyber-security, artificial intelligence, statistics and analytics, finance and politics, and behavioral, economic, social and psychological sciences could present updated research efforts and progresses on foundational and emerging interdisciplinary topics, exchange new ideas and identify future research directions.
Session
Title: Parallel Education
Proposers: Wan-Liang Wang;Xiwei Liu
Introduction: The Session on Parallel Education aims to discuss opportunities applying digital twins and parallel intelligence in interactive education systems, which shall bring education with other disciplines a promising paradigm to better handle the challenges of complexity in interactive education systems, including personalization, effectiveness and adaptiveness. Topics covering any interactive education systems are all welcomed, e.g. intelligent tutoring systems, personalized education, online education, serious games etc.
Session
Title: Parallel Service
Proposers: Lefei Li;Chen Wang
Introduction: The session on parallel service aims to discuss the opportunity of applying digital twins and parallel intelligence in service systems’ design and management, which shall bring service science a promising paradigm to better handle the challenges of complexity for service management, including heterogeneity, perishability and demand fluctuation. Topics covering any service industries are all welcome, e.g. healthcare, retailing, logistics, maintenance, etc.
Session
Title: Parallel Art
Proposers: Chao Guo;Tianxiang Bai
Introduction: In recent years, there has been an explosion of research in applying artificial intelligence to the artistic domains. To promote interdisciplinary collaborations between machine intelligence and art, we propose a special session on “Parallel Art” in the upcoming DTPI 2021. The session provides a forum for researchers, engineers, artists, and practitioners to present their progress and exchange ideas at the intersection of parallel intelligence, AI, and art. We encourage interesting papers on research, systems, and applications related to the integration of machine intelligence and art.
The “Parallel Art” session topics of interest include, but are not limited to, the following:
•Parallel intelligence and digital twins in art;
•Artworks via computational methods, including photography, painting, music, poetry, fashion design, etc.;
•Computational aesthetics of art, including classification, recognition, captioning, assessment, or recommendation of paintings, music, and other artworks;
•Artistic dataset for machine learning;
•Digital collection and big-data analysis of art;
•Creative robotic systems, including robotic painting system, robotic calligraphy system, etc.;
•Authentication forensics and blockchain of art;
•Artistic creation with the assistance of AI or machine;
•Methodology and practice of human-machine collaborative (interactive) creation and human-machine hybrid art;
•Other explorations of parallel systems, human-machine hybrid systems, machine learning systems in art;
More information concerning the important dates and the paper submission could be found at https://www.dtpi.org/. We are looking forward to meeting you soon in the session on “Parallel Art” in DTPI 2021!
Session
Title: DTPI Multi-modal Feature Representation
Proposers: William Zhu;Shiping Wang
Introduction: With the ubiquity of mobile terminals, hundreds of millions of people are now sharing their online persona by expressing their thoughts, moods, and emotions on social media. Accordingly, multi-modal data representation and understanding are vital for the social computing, especially for the DTPI. Advances in multimodal feature representation allows the field of social computing to take the leap towards better generalization to real-world applications and higher performance of downstream tasks. To this end, we launch a session on “DTPI multi-modal feature representation” to gather the cutting-edge methods on this subject. The topic includes but not limited to neural modeling of multimodal data, multimodal representation learning, multimodal active learning, multimodal fusion and multimodal semi-supervised learning.
Session
Title: DTPI in Mechatronics Systems
Proposers: Junyi Cao;YangQuan Chen
Introduction: The Session on Mechatronics Systems aims to exchanging enabling DTPI ideas for transforming mechatronics systems to be more intelligent, more sustainable, more flexible with more smartness embedded. To satisfy the growing entire lifecycle desire to improve the performance and efficiency of Mechatronics Systems, most engineering solutions are required to connect all development disciplines and enables simulation-driven teamwork. More importantly, smart components for gathering data about real-time status are integrated with a physical item. The components are connected to a cloud-based system that receives and processes all the data the sensors monitor. DTPI virtual and physical worlds allow analysis of data and monitoring of systems to head off problems before they even occur, prevent or reduce downtime, improve efficiency and even plan for the future by using simulations.
Session
Title: DTPI in Renewable Energy Systems
Proposers: Xianming Ye;Yue Zhou
Introduction: The Session on DTPI in Renewable Energy Systems (DTPI RES) aims to exchanging enabling DTPI ideas for transforming renewable energy systems to be smart, cleaner, and resilient in order to provide green and affordable energy to end users with less carbon footprints.
Session
Title: Digital Twin Network
Proposers: Tao Sun;Diego R. Lopez
Introduction: The session on Digital Twin Network aims to exchange ideas on research and application of digital twin techonoligy in networking and commninction fields. Topics of Interest include, but not limeted to: -Concepts, architecture, or vision of digital twin netowrk -Requirements and use cases on network life-cycle management based on digital twin technology -Control loop control and network automation based on digital twin -Data modeling of network elements, topology and various netowrk functoinality -Introducing AI/ML algorithms on data modeling based on digtial twin network-Network management and optimization based on concepts of digital twin netwok -Other related topics (e.g. network simulation, autonomous network)
Online Session 会议详情德先生将持续更新,敬请关注!
Archiver|手机版|科学网 ( 京ICP备07017567号-12 )
GMT+8, 2024-9-27 06:23
Powered by ScienceNet.cn
Copyright © 2007- 中国科学报社