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【征文通知】2021 IEEE數(shù)字孿生和平行智能國際會議Session征稿進(jìn)行中,歡迎投稿!

日期:2021-04-30 16:31

【導(dǎo)讀】

2021年7月15日至8月15日,2021 IEEE數(shù)字孿生和平行智能國際會議(DTPI 2021)將在中國北京召開,本次會議由IEEE射頻識別專委會、中國自動化學(xué)會共同主辦,會議將采用線上線下相結(jié)合的形式,線上共設(shè)置三十余場Online Session,目前各Session征稿正在進(jìn)行中,歡迎各位專家學(xué)者、科研從業(yè)者及學(xué)生在線投稿!


2021 IEEE數(shù)字孿生和平行智能國際會議(DTPI 2021)將報告和討論以數(shù)字孿生和平行智能為中心的智能技術(shù)的前沿學(xué)術(shù)和工業(yè)界成果的最新進(jìn)展。其具體領(lǐng)域包括但是不限于數(shù)字孿生與平行智能理論與方法,以及工業(yè)互聯(lián)網(wǎng)、智能交通、智慧能源、機(jī)器人、智能制造等垂直應(yīng)用領(lǐng)域。會議議程將從2021年7月15日持續(xù)至8月15日,包括1場線下開幕式活動和多場線上特別分會場活動,接收的會議論文將會以口頭或海報形式報告。本次會議接收的論文將在符合IEEE Xplore的范圍和質(zhì)量要求的前提下提交到IEEE Xplore。 


DTPI 2021共設(shè)置社會交通、平行能源、平行城市、平行海洋系統(tǒng)、平行影像、區(qū)塊鏈與知識自動化、智能數(shù)據(jù)分析與應(yīng)用、平行藝術(shù)等三十余場 Online Session,目前已審核通過的Session信息如下,歡迎相關(guān)科研領(lǐng)域科技工作者積極投稿參與交流!(詳情可見本文下方詳細(xì)信息或登陸官網(wǎng)頁面https://www.dtpi.org/submission/call-for-papers查看詳情,信息持續(xù)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 “l(fā)ocal 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

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