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On the principles of Parsimony and Self-consistency for the emergence of intelligence Position Paper

Yi MA, Doris TSAO, Heung-Yeung SHUM

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 9, Pages 1298-1323 doi: 10.1631/FITEE.2200297

Abstract: Ten years into the revival of and artificial , we propose a theoretical framework that sheds light on understanding within a bigger picture of in general. We introduce two fundamental principles, and , which address two fundamental questions regarding : what to learn and how to learn, respectively. We believe the two principles serve as the cornerstone for the emergence of , artificial or natural. While they have rich classical roots, we argue that they can be stated anew in entirely measurable and computable ways. More specifically, the two principles lead to an effective and efficient computational framework, compressive , which unifies and explains the evolution of modern and most practices of artificial . While we use mainly visual data modeling as an example, we believe the two principles will unify understanding of broad families of autonomous intelligent systems and provide a framework for understanding the brain.

Keywords： Intelligence Parsimony Self-consistency Rate reduction Deep networks Closed-loop transcription

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Consistency Guarantees for Professional Appraisal of Geotechnical Engineering Design under Market Leading

Jian-ye Zheng

Frontiers of Engineering Management 2015, Volume 2, Issue 1, Pages 82-85 doi: 10.15302/J-FEM-2015012

Abstract: excavation, an outside expert as an assessor, might master the art of review to pay attention to guarantee consistency

Keywords： peer review foundation pit excavation retaining and protection structure design introduction

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Technology and system of constraint programming for industry production scheduling

Yarong CHEN, Zailin GUAN, Yunfang PENG, Xinyu SHAO, Muhammad HASSEB

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4, Pages 455-464 doi: 10.1007/s11465-010-0106-x

Abstract: We trend of some concrete technology, such as modeling, search, constraint propagation, consistency,

Keywords： constraint programming production scheduling constraint propagation search consistency optimization

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Consistency of MGEX Orbit and Clock Products Article

Peter Steigenberger, Oliver Montenbruck

Engineering 2020, Volume 6, Issue 8, Pages 898-903 doi: 10.1016/j.eng.2019.12.005

Abstract: Due to improved solar radiation pressure modeling and other more sophisticated models, the consistencyThe current orbit consistency between different analysis centers is on the level of a few centimetersThe clock consistency is about 2 cm for GPS, 5 cm for GLONASS and Galileo, and 10 cm for BeiDou-2.

Keywords： Global navigation satellite system International GNSS Service Multi-GNSS Pilot Project Precise orbit determination Satellite clock parameters

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A multiscale-contour-based interpolation framework for generating a time-varying quasi-dense point cloud sequence

Chu-hua HUANG,Dong-ming LU,Chang-yu DIAO

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5, Pages 422-434 doi: 10.1631/FITEE.1500316

Abstract: Our framework takes full advantage of spatio-temporal-contour consistency.

Keywords： Free-viewpoint video Point-pair Multiscale-contour-based interpolation Spatio-temporal-contour Consistency

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Study on Data Locality and Its Optimization Technologies in Multiprocessor Systems

Yang Xuejun,Dai Huadong,Xia Jun

Strategic Study of Chinese Academy of Engineering 2002, Volume 4, Issue 5, Pages 44-52

Abstract: In addition, in-depth investigation on memory consistency model ,which raised as a key problem in exploitinglocality optimization, was also stressed and a new model centered on operating system——thread consistency

Keywords： multiprocessorsystem data locality locality measurement model data transformation framework page migration thread consistency

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Big data storage technologies: a survey Review

Aisha SIDDIQA, Ahmad KARIM, Abdullah GANI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 8, Pages 1040-1070 doi: 10.1631/FITEE.1500441

Abstract: There is a great thrust in industry toward the development of more feasible and viable tools for storing fast-growing volume, velocity, and diversity of data, termed ‘big data’. The structural shift of the storage mechanism from traditional data management systems to NoSQL technology is due to the intention of fulfilling big data storage requirements. However, the available big data storage technologies are inefficient to provide consistent, scalable, and available solutions for continuously growing heterogeneous data. Storage is the preliminary process of big data analytics for real-world applications such as scientific experiments, healthcare, social networks, and e-business. So far, Amazon, Google, and Apache are some of the industry standards in providing big data storage solutions, yet the literature does not report an in-depth survey of storage technologies available for big data, investigating the performance and magnitude gains of these technologies. The primary objective of this paper is to conduct a comprehensive investigation of state-of-the-art storage technologies available for big data. A well-defined taxonomy of big data storage technologies is presented to assist data analysts and researchers in understanding and selecting a storage mechanism that better fits their needs. To evaluate the performance of different storage architectures, we compare and analyze the existing approaches using Brewer’s CAP theorem. The significance and applications of storage technologies and support to other categories are discussed. Several future research challenges are highlighted with the intention to expedite the deployment of a reliable and scalable storage system.

Keywords： Big data Big data storage NoSQL databases Distributed databases CAP theorem Scalability Consistency