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engineers and industrialized personnel
multidisciplinary research teams
• Solve major scientific
• Breakthrough key technologies
• Technological services with open
• Providing scientific suggestions and
• Provide systematic integration solutions
sharing, efficient operation and
constructive solutions for
• Open up new research
• Develop new technologies and standards
• Incubation of new industries and
ShanghaiTech. We understand that any analytic result like the one presented here is only a beginning for further explorations. Consequently, new techniques and tools are needed to integrate original data, results. Such tools are needed to drill down, expand, connect, fuse, or otherwise analyze data, leading to reports that are read by researchers or decision-makers to explore new questions stimulated by the results. The authors are planning further improvements in the second and future phases of benchmarking.
The authors thank Xiaolin Zhang of
Unified Process: An Introduction, Addison-Wesley, 2004.
 O. Nikiforova, V. Nikulsins and U. Sukovskis, “Integration of MDA framework into the model of traditional software development,” Frontiers in Artificial Intelligence and Applications, vol. 187, issue 1, 2009, pp. 229-239. https://doi.org/10.3233/978-1-58603-939-4-229
we present an integrated approach for robot localization that allows to integrate for the artificial landmark localization data with odometric sensors and signal transfer function data to provide means for different practical application scenarios. The sensor data fusion deals with asynchronous sensor data using inverse Laplace transform. We demonstrate a simulation software system that ensures smooth integration of the odometry-based and signal transfer - based localization into one approach.
Dr Ying Ding is an Associate Professor of Indiana University, USA, Co-Editor-in-Chief of Journal of Data and Information Science (JDIS). She is Associate Director of Data Science Online Program, and Director of Web Science Lab. She is Changjiang Scholar at Wuhan University and Elsevier Guest Professor at Tongji University. Her research interests include scholarly communication for knowledge discovery, semantic Web for drug discovery, social network analysis for research impact, and data integration and mediation in Web 2.0. She has published more than 200
Lixue Zou, Li Wang, Yingqi Wu, Caroline Ma, Sunny Yu and Xiwen Liu
assembly and integration. Development, improvement and optimization of preparation methods and techniques will be needed to maximize all the outstanding qualities of graphene.
In conclusion, graphene research and development has shown promising application potential across a wide range of fields, but challenges still exist in technological breakthrough in its preparation methods and processes in order to realize its industrialization for leading innovation in next-generation materials.
Special acknowledgement is to Mr. Matthew Toussant who gave