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“China’s e-Science Blue Book 2020” has been jointly compiled by the Chinese Academy of Sciences, Cyberspace Administration of China, Ministry of Education of the PRC, Ministry of Science and Technology of the PRC, China Association for Science and Technology, Chinese Academy of Social Sciences, National Natural Science Foundation of China and the Chinese Academy of Agricultural Sciences. It was focusing on the new situation, new progress and new achievements of China's e-Scientific in the past two years.

During the “13th Five-Year Plan” period, Chinese scholars make full use of advanced information technology to carry out scientific research work, and have achieved a series of major scientific and technological achievements. This book has collected 28 research reports about China’s e-Science application in the past two years to introduce the application in the frontier research of science and technology, the progress of e-Science in major projects and the achievements of informatization in interdisciplinary. As such it provides a valuable reference resource for researchers and students in this area and promotes further e-Science research.

Inhaltsverzeichnis

Frontmatter

Introduction

Frontmatter

Overview of e-Science Research in China

Abstract
During “the 13th Five-Year Plan” period, the Chinese experts and scholars make full use of advanced information technology to carry out scientific research work, and have achieved a series of scientific and technological achievements. It reflects the level of e-Science application in China. This article systematically summarized the e-Science research from three aspects, the application in the frontier research of science and technology, the progress of e-Science in major projects and the achievements of informatization in interdisciplinary. During the past two years, so as to provide a reference for the scholars in this field for the further e-Science research.
Yang Wang, Yan Ban, Xuehai Hong

Application in the Frontier Research of Science and Technology

Frontmatter

Biomedicine Big Data—Trends and Prospect

Abstract
This forward-looking review focuses on the development and applications for Biomedicine Big Data (BMBD), and its role in the engineering system for data management, scientific and technological research and development, as well as in social and economic transformation. The review starts with an elaboration on the complex connotations of BMDB from the inter-disciplinary point of view. It then explores the implications of BMDB in sectors such as life science research, medical and health institutions, and biotechnology and bio-medicine industries in connection with the challenges and opportunities faced by social and economic development. The recent COVID-19 outbreak is used as an illustrative case study. The review ends with an analysis of a decade of BMBD practice, both domestically and abroad, with suggestions for policy-making and solutions to tackle major challenges from China’s perspective. It is hoped that any BMBD-related institutions, including administrative, academic, industrial, financial and social organizations,practitioners and users will benefit from this insightful summary drawn from the past decades of BMBD practice. Any critical comments and constructive suggestions are sincerely welcomed by the authors.
Guoping Zhao, Yixue Li, Daming Chen, Yan Xiong

The Progress of High Performance Computing in China and the Development Trend of International High Performance Computing

Abstract
The development of high-performance computing comprehensively reflects the scientific and technological strength of a country, and is also an important part of the national innovation system. China has promoted the development of high performance computing by deploying a variety of national science and technology projects and funding plans, and gradually formed a national high performance computing service environment with a certain scale. Based on the landscape of the world TOP500 high performance computers, this paper firstly analyzes the latest progress of high performance computing in China; reviews the main shortcomings of HPC R&D in China; then explains the technological breakthroughs and applications of Sunway TaihuLight supercomputer; and finally discusses the R&D upsurge of Exascale computers in the world. In addition, this paper predicts the future development trend of high performance computing technologies.
Zuoning Chen

The Informationized Application of On-orbit Data Processing of the Dark Matter Particle Explorer

Abstract
DAMPE is the first satellite-based observatory of China targeting on astronomical objects. During its on-orbit observation, over 6 billion of high energy cosmic rays (CRs) have been detected and analyzed, providing several hundred of terabyte (TB) of date for various scientific purposes. Such rich observations have largely benefited the research of electrons (positrons), protons and gammas within the high energy CRs. In this paper, we would take a deep insight into DAMPE. Firstly, the structure and features of its data processing software DAMPESW is introduced. Then constructions of DAMPE infrastructures is explained that are built on the demand of high data processing performance. Finally, in hope of providing reference for other similar projects in the future, we summarize the informationized application of data processing on DAMPE.
Jin Chang, Jingjing Zang, Liang Liu

Atomic-Scale Investigations on Water Science Based on Information Technology

Abstract
Water–solid interfaces play important roles in a wide range of scientific fields and technique processes and it is a crucial scientific issue to understand the hydrogen-bonding network and relevant dynamics of interfacial water at molecular or sub-molecular level. Of the many surface science techniques, scanning probe microscopy has become one of the most powerful tools to study the water–solid interfaces due to its capability of imaging with atomic resolution. In recent years, our research group has achieved atomic-scale imaging and spectroscopic characterization of water–solid interfaces utilizing the atomic resolution capability of scanning probe microscopy and the imaging techniques of e-Science. Further combined with simulation and calculations based on supercomputer techniques and e-Science, our group has achieved important progress in the microscopic structure of the hydrogen-bonding network of water, the dynamics of proton transfer, nuclear quantum effect on the strength of hydrogen-bond and water-ion interaction.
Runze Ma, Jinbo Peng, Ying Jiang

Opportunities and Challenges for Biometrics

Abstract
Biometrics refers to the science and technology of automatic identification achieved by computers through acquiring and analyzing physiological and behavioral characteristics of human body. The purpose of biometrics research is to give computers advanced intelligence to automatically detect, capture, process, analyze, and identify digital biometric signals, that is, make machines “can see and hear”. This is one of the basic functions of machine intelligence as well as one of the most significant challenges in theoretical and applied research human beings face. In conclusion, biometrics research is important in terms of both academic significance and practical value. In recent years biometrics has become an important part of national strategies such as the “Internet + Action Plan” and the “Development Plan on the New Generation of Artificial Intelligence”. At the same time, it has already become a new growth point for strategic high-tech and electronic information industry in the field of national and public security. This paper introduces research progress of several common biometric modalities such as face, iris, fingerprint and gait, summarizes development trends and opportunities of current biometrics technology, and analyzes main challenges on the road to the development of a new generation of biometrics. Finally, this paper provides some suggestions regarding the future development of biometrics.
Zhenan Sun, Qi Li, Yunfan Liu, Yuhao Zhu

Progress of e-Science in Major Projects

Frontmatter

Big Data Promotes the Tibetan Plateau and Pan-Third Pole Earth System Science

Abstract
The Pan-Third Pole includes the Tibetan Plateau and the northern intracontinental arid region of Asia, extending to the Caucasus Mountains in the west and the western Loess Plateau in the east. This region covers 20 million square kilometers and affects the environment inhabited by three billion people. Two special projects have been implemented to provide important scientific support for eco-environmental refining and sustainable economic and social development of the Pan-Third Pole region, with the Tibetan Plateau as its core: the Second Tibetan Plateau Scientific Expedition Program (a national special project) and the Pan-Third Pole Environmental Change and Construction of the Green Silk Road (hereinafter referred to as the Silk Road and Environment), a strategic pilot science and technology project (Category A) of the Chinese Academy of Science. The Pan-Third Pole big data system is an important data support platform for these two major research programs and has several purposes: the storage, management, analysis, mining and sharing of scientific data for various disciplines, such as resources, the environment, ecology and atmospheric science of the Pan-Third Pole; preparation of key scientific data products of the Pan-Third Pole; the gradual development of functions such as online big data analysis and model application; the construction of a cloud-based platform to integrate data, methods, models; and services for Pan-Third Pole research and promote application of big data technology in scientific research in the region. This paper demonstrates in detail various aspects of the Pan-Third Pole big data system, including the system architecture, data resource integration and big data analysis methods. The system improves big data processing capability in geoscience, serves as a new paradigm of geoscience research driven by big data and facilitates scientific research of the Earth system of the Pan-Third Pole.
Xin Li, Xiaoduo Pan, Xuejun Guo, Jun Qin, Baosheng An, Tao Wang, Qinghua Ye, Weimin Wang, Xiaojuan Yang, Xiaolei Niu, Min Feng, Tao Che, Rui Jin, Jianwen Guo

Information Construction and Prospect of EAST Collaborative Experimental Platform

Abstract
EAST is the only experimental device in the world with similar conditions as ITER and have the best ability to achieve long pulse and high performance operation on the particle balance time scale, which attracts extensive international cooperation and generates a huge amount of experimental data. The construction goal of EAST collaborative experimental platform is to follow the concept of “collaboration”, “efficiency” and “openness” and provide support and guarantee for carrying out high-level scientific research and personnel training. It covers the whole process of EAST experiment, including the collection and arrangement of proposals, Experimental process status monitoring, real-time data acquisition and storage, experimental log recording, remote joint experiment, Data access and analysis and so on, which involved in high-speed reflection memory network, virtual applications, virtual reality, high-speed acquisition and storage, big data processing and other information advanced technology. Moreover, it provides many support platforms such as unified account management, unified data access interface, document management and wiki internal communication platform and so on. The platform not only promotes the accumulation of research resources and improves the work efficiency, but also provides an open and shared way of academic exchange and promotes domestic and foreign cooperative and research. Until 2018 there are about 1000 registered users from more than 40 cooperative units, attracting 4000 foreign visitors per year, the accumulated experimental data has reached 1000 TB. Several countries have participated in joint experiments through the platform, the percentage of external proposals is as high as 57% in 2018. It is of great benefit for EAST research, helping EAST set the world record for 101.2 s of steady-state long-pulse high-confinement plasma operation, and obtained the completely non-inductive plasma with electron temperature of 100 million degrees for the first time in 2018. The next step is to realize an independent and controllable information data platform based on domestic hardware and software combined with big data and artificial intelligence technology, providing a preliminary study for control and information system of future fusion reactor.
Feng Wang, Bingjia Xiao, Jinyao Xia

Chinese VLBI Network and e-VLBI Technology Applications in Chinese Lunar Exploration Program

Abstract
Very long baseline interferometry (VLBI) is derived from the synthetic aperture radio observation method invented in the last century. By combining a number of large aperture radio telescopes distributed over long distance, a virtual giant radio telescope is logically created. Global and regional VLBI observation networks has extremely high spatial angular resolution, which has been widely used in astrophysics, geodesy and deep space exploration aircraft tracking. In the Chinese Lunar Exploration Program (CLEP), domestic VLBI network adopted real-time e-VLBI technology as part of TT&C system has been providing fast and accurate orbit and positioning services during the Chang’E serie missions. It works for trajectories of  Earth-Moon flying, orbiting, descending, and returning to earth, made great contributions for orbit measurement. This paper introduces the general work of China VLBI network and detailed e-VLBI technology application in the three phases of CLEP, gives the details about system developments, operations and performance of the VLBI observation system. Final is the outlook of VLBI system future plan in deep space exploration missions and scientific programs.
Zhong Chen, Weimin Zheng

International Cooperation Program for Major Microbial Data Resources: Global Catalogue of Microorganisms (GCM)

Abstract
Established in the 1960s, WFCC-MIRCEN World Data Centre for Microorganisms, hereinafter referred to as WDCM, is the most important physical resource data platform in the field of microorganisms throughout the world. Getting hosted by the Institute of Microbiology, Chinese Academy of Sciences in 2010, WDCM is the first world data center in the field of life sciences in China. Taking WDCM as a platform, the Institute of Microbiology, Chinese Academy of Sciences insists on developing “self-reliant” international cooperation and advocates Global Catalogue of Microorganisms, hereinafter referred to as GCM, which is an international cooperation program for major microbial data resources. GCM program aims to provide a globally uniform data warehouse for valuable microbial resources scattered in various culture collections and in the hands of the scientists around the world. Currently, 127 microbial resource collection agencies in 46 countries and regions have officially participated in the program, providing effective data support for all aspects of physical resources of microorganisms such as gathering, collection, transnational transfer, academic and commercial applications and benefit sharing, and offering the most important support to the implementation and enforcement of the Convention on Biological Diversity in the field of microorganisms. On the basis of GCM international cooperation program, WDCM launched GCM2.0 international cooperation program–Global Microbial Type Strain Genome and Microbiome Sequencing Project–for complete coverage of microbial genomes, and established cooperation network for genome sequencing and function exploring of microbial resources covering 30 major culture collections in more than 20 countries, which is expected to complete genome sequencing of more than 10,000 microbial type strains, establish a set of international standard system in microbial resource sharing and exploration, and set up a globally authoritative reference database and data analysis platform of microbiome.
Juncai Ma, Linhuan Wu, Jianyuan Zhang

Current Situation and Prospect of EMDB/EMPIAR-China

Abstract
In recent years, cryo-electron microscopy technology has rapidly developed and become a key method in the structural biology field. Moreover, the number of people engaged in cryo-electron microscopy (cryo-EM) is increasing rapidly in China with attendant explosive growth in cryo-EM data. Therefore, to meet the academic demand for access to cryo-EM data and to promote the development of the structural biology field, the European Institute of Bioinformatics established the Electron Microscopy Data Bank (EMDB) in Europe. Furthermore, the Committee for the Study of Cryo-Electron Microscopy of the Chinese Society of Biophysics partnered with the European Bioinformatics Institute to establish a mirror site of the EMDB in China to aid researchers in conveniently uploading and downloading high-resolution electron microscopy data, to promote cryo-EM-related research efforts, and to enhance the international status of China’s basic research. This paper introduces aspects of the Chinese mirror website: the construction idea, structure, function realization, visualization tools, and running status. Furthermore, details of an analysis of the total visits to the website from the beginning of the website launch to October 30, 2019, are provided. Finally, future prospects of the Electron Microscope Database are assessed; briefly, we suggest it will play a crucial role in supporting and developing the field of structural biology.
Tongxin Niu, Yan Zhang, Jun Liu, Bo Zhang, Fei Sun

The Ecology of High-Performance Computing

Abstract
High performance computing (HPC) embodies a country’s comprehensive strength in science and technology, which is an important part of the national innovation system, and is also the strategic commanding point of fierce competition in the world’s major developed countries. From the ecological perspective of building high-performance computing, this paper expounds the development trend of this field in detail, and points out the weak links in the application of ecological development, and makes analysis and suggestions.
Xuebin Chi

Advanced Scientific Research Environment Evolution and Cloud Service Architecture Design Integrating 5G Technology

Abstract
With the development of 5G network technology and the advancement of cloud computing technology, 5G cloud computing has significant advantages in terms of resource utility ratio, on-demand service, and security. At present, the demand for massive data processing is increasing with “data-intensive scientific research”. Compared with the network resources construction of traditional scientific research institutions, 5G scientific research cloud which relies on its excellent network performance, security guarantee, efficient flexible computing resource allocation ability and simple hardware requirements can realize the intelligent and flexible construction of computing resources in the face of different needs, localized specialized services, cloud network collaborative optimization and traffic payment, and fully satisfies the stable and high-speed network usage requirements of researchers and students. This paper introduces the construction requirements of 5G networks and their key technologies and scientific research clouds, and proposes a 5G scientific research cloud architecture. Through the analysis of typical scenarios such as research institutes, large scientific installations, field stations, and university campuses, this paper expounds the practicability and necessity of the intelligent research network constructed by 5G scientific research cloud, and finally summarizes and forecasts it.
Xu Zhou, Congshan Fan, Bing Liu

Composite Autonomous Anti-disturbance Control for Systems with Multiple Disturbances

Abstract
Complex systems in various fields including robot, aerospace, advanced manufacturing, and others are affected by heterogeneous disturbances and uncertainties resulting from internal disturbances, external disturbances, and model errors. With the increasing of requirements for accuracy, stability, and reliability, enhancing the ability of autonomous anti-disturbance control in complex environment has become the theoretical bottleneck and engineering challenge in the field of automation and artificial intelligence. This paper firstly reviews the traditional control methods that can attenuate or compensate a single kind of disturbance or an “equivalent” disturbance. Then, the paper introduces the theory of “refined” quantification and analysis under the influence of multiple disturbances and uncertainties, and subsequently proposes a composite anti-disturbance control law with hierarchical architecture: Composite Hierarchical Anti-Disturbance Control (CHADC). CHADC includes the disturbance description, disturbance estimation, disturbance compensation in feedforward path and the controller with disturbance attenuation in feedback path. The observability, compensability and repressibility of disturbances are proposed for the external observability and controllability of systems with disturbances. For the attitude control system of spacecraft, the experiment and simulation equipments of whole-loop anti-disturbance control are developed, which includes attitude estimation, controller, and execution parts. This technology can accomplish the whole-loop quantification and analysis of heterogeneous disturbances, as well as simultaneous attenuation and rejection of the heterogeneous disturbances. Consequently, the autonomous anti-disturbance performances of systems can be improved significantly.
Lei Guo, Yukai Zhu

Evolution Towards Quantum Metrology and the Action Agenda for Developing IT-Enabled Metrology

Abstract
Quantum metrology and informatization of metrology are two major directions for metrology innovation. A new generation of information technologies, represented by the Internet, big data and artificial intelligence, are booming and has brought a far-reaching impact on scientific research around the world. In 2018, the General Conference on Weights and Measures (CGPM) at its 26th meeting adopted a Resolution on the revision of the International System of Units (SI) to redefine all SI base units in terms of physical constants. This revision terminated the history of using artefacts as measurement standards, and ushered in a new era of “modern metrology” where measurements are largely based on quantum technologies. China has played a vigorous part in the global research cooperation enabling the SI revision. Furthermore, China has proposed to establish a quantum-based national advanced measurement system where quantum measurement standards and a “flattened” traceability chain will be the core features. This action will help incorporate quantum metrology into informatization programmes of China, accelerating the integration between quantum technology and information technology.
Xiang Fang

Development and Services of Resource Discovery System of National Science and Technology Library

Abstract
In order to solve the problems of serious shortage of scientific and technical literature resources and extremely low document guarantee rate in China, the National Science and Technology Library (NSTL) was established in June 2000 by the Ministry of Science and Technology and several other departments, which aims to build a national scientific and technical literature guarantee system and provide public welfare and basic information services to the whole country. After nearly 20 years of development, NSTL has become the strategic guarantee base and a national sharing platform for scientific and technical literature resources. However, the problem of unbalanced and insufficient supply of scientific and technical literature is still severe in China, and there is an urgent demand for the next generation of knowledge service systems, such as big data and cloud computing based ones. To this end, NSTL is making every efforts to develop the national scientific and technical literature resource discovery system, seeking to play its role as a national core platform to provide informational strategic support for China’s scientific and technological innovation and development. Its main achievements including promoting the establishment of scientific and technical literature’s metadata resource integration and fusion system, strengthening semantic knowledge organization, building up a series of thematic portals and an international scientific and technological citation system based on the discovery system, and forming a big data discovery system of scientific and technical literature.
Yiqi Peng, Boer Wu, Zhongqi Shen

The Development of Chinese Sociological Knowledge Space Based on Linguistic Representation

Abstract
The traditional subject analysis is mainly based on the qualitative analysis of the text, supplemented in part by the method of literature measurement and analysis such as word frequency and bibliographic citations. Based on the full text of the papers published in the top two journals of Chinese sociology, Journal of Sociological Studies (1986–2015) and Chinese Journal of Sociology (2006–2015), this paper studies the changes, development characteristics and sub-discipline characteristics of sociology in the past 30 years by means of modern text semantic analysis. This paper also shows the feasibility of applying modern natural language analysis techniques as measurement on the subject of knowledge space in social sciences.
Huashan Chen

Management and Service System of CAS Key Laboratory

Abstract
Key laboratory system is an important part of the scientific research and technological innovation system, the core strength of basic research, applied research and high-tech frontier exploration in Chinese Academy of Sciences (CAS). The purpose of developing the management service platform of Key Laboratory is to realize the informatization of the management service of CAS Key Laboratory (CAS-KLMSS), so the managers can conveniently understand and master the research and operation of the Key Laboratory, and more support will be provided for the implementation of innovation-driven development strategy. This paper designs a platform architecture system based on data flow and approval process for different users and work scenarios according to the actual needs of laboratory management. It introduces the idea of generating system “Database” through filling of laboratory annual reports, to make all data captured, accounted and analyzed. The security mechanism of the system is developed to ensure the encryption of all data transmission and reading. Finally, it outlooks the future development trend of the informatization of the key laboratory management in CAS.
Hongfei Hou, Xiaoning Li, Xuerui Bai, Jue Wang, Fan Yang, Ying Wang

Achievements of Informatization in Interdisciplinary

Frontmatter

Current Situation and Prospect of CERNET

Abstract
China Education and Research Network-CERNET was built in 1994. The Ministry of education is responsible for the management. The Tsinghua University and other top universities are responsible for the construction and operation of the national backbone. In the past 25 years, with the care and support of national ministries and commissions, domestic cooperation units, all sectors of the society and with the efforts of universities and all scientific and technological personnel who undertake the construction and operation tasks, CERNET has been gone through from scratch, developed from small to large and become the largest national academic Internet in the world. It is also an important infrastructure of educational informatization in China and an integral part of national informatization infrastructure. This paper focuses on the main progress of CERNET since 2018 and puts forward the development imaginations for future.
Ying Liu

Implementation of the Informatization Application Scenario for Prevention and Control of Desertification in the China-Mongolia-Russia Economic Corridor of the Belt and Road Initiative—Taking the China-Mongolia Railway (Mongolia Section) as an Example

Abstract
The areas of the China-Mongolia-Russia economic corridor in the Belt and Road Initiative are characterized by a complex natural geography, a fragile ecological environment, and serious desertification. Its impact on the main traffic trunk lines between China, Mongolia, and Russia is not clear, which brings risks and challenges to infrastructure construction. The completion of dynamic monitoring and risk assessment of desertification in areas along the China-Mongolia-Russia economic corridor is urgently required. Faced with the above problems, this study, based on research information and GIS technology, carried out a desertification remote sensing inversion algorithm, a big data application platform, and multi-source data fusion and integration, and established application scenarios for desertification risk control. In this application, based on the extraction effect comparison of different characteristic space models, a desertification information extraction model algorithm suitable for the China-Mongolia-Russia economic corridor is constructed. Using modes of big data batch processing and real-time processing, the desertification information along the corridor was extracted, analyzed, and dynamically monitored. Combined with historical data, the diagnosis and testing of desertification patterns and changes within 200 km of both sides of the China-Mongolia Railway (Mongolian section) from 1990 to 2015 have been completed. This application scenario is oriented to multi-source, multi-scale, and long-time series earth observation satellite data. Based on the big data batch processing technology driven by cloud computing, it realizes high-throughput processing, rapid analysis, and the visual display of long-time series desertification dynamic information. It has the ability to monitor desertification dynamically and can provide information and decision-making support for the prevention and control of desertification in key areas of the China-Mongolia-Russia economic corridor.
Juanle Wang, Haishuo Wei, Jia Song, Hanlin Wang, Kun Bu

Establishment and Operational Application of China National Air Quality Forecast and Early Warning Device

Abstract
Air pollution episodes frequently occurs in China, and accurate forecast and early warning of air pollution episodes is crucial for the air pollution control in China. Around this demand, this paper introduces the design and construction of the China National Air Quality Forecast and Early Warning Device. The device was established based on an integrated design of hardware and software. The key technologies of big data fusion, fast emission inversion, multi-model ensemble forecasts, regional heavy pollution episode identification, and an efficient-safe-stable intelligent management platform are constructed. The interactive and rapid display technology of big data based on Web-GIS is developed. An information technology system has been established for the exchange and release of national air quality forecast information and early warning of heavy pollution episodes. The device can provide high-precision forecast for city-scale air quality in 7 days and can forecast the trends of regional air quality in the next 7 to 10 days over Beijing-Tianjin-Hebei region, China and East Asia. Such advanced technologies have greatly improved the performance and accuracy of the air quality routine forecast in China and  strongly supported the  achievement of the five-year goal of Air Pollution Control Action Plan and environmental diplomacy in China.
Zifa Wang, Jianjun Li

Practice on Big Data Platform for Subject Knowledge Discovery in Stem Cell

Abstract
The project of “E-Science Application for Knowledge Discovery in Stem Cells” is an important part of the 13th Five-Year Plan e-Science Programme of Chinese Academy of Sciences. Focusing on the critical needs of science and technology (S&T) innovation and subject knowledge discovery in stem cell research for e-Science, the project makes comprehensive use of big data and new generation of artificial intelligence technologies to develop a platform of “Stem Cell Subject Knowledge Discovery (SCKD)”, which can provide professional, efficient and accurate subject knowledge discovery services for the research and S&T management activities in stem cell. This paper introduces the project’s objectives, tasks, key technologies, achievements and service effect, and discusses the future work of SCKD.
Zhiqiang Zhang, Zhengyin Hu, Ning Yang, Yi Wen, Xiaochu Qin, Yibing Song, Guangjin Pan

“One-Time Face Recognition System” Drives Changes in Civil Aviation Smart Security Screening Mode

Abstract
With the surge of civil aviation airport passenger traffic in recent years, the airport security and screening mode is under great pressure, which has become an obstacle for achieving the target to become a leading civil aviation power. This paper first outlines the progress and trend of civil airport security screening inside China and abroad, then explains in detail the “One-time Face Recognition System”, which is an innovative achievement of the Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences in the intelligentization of civil aviation security. The system integrates various advanced technologies and innovative ideas. With the support of Civil Aviation Administration of China (CAAC) and the support of Hongguang Special Project funded by Chinese Academy of Sciences (CAS), the system has applied to Hohhot Baita International Airport, achieving great success. The system and the operating procedures have been approved by the authorities, authorizing the use of manually assisted computerized verification to replace the original manual verification, which has started a reform of the civil aviation smart security screening mode in China.
Yu Shi, Xiangdong Zhou, Jun Cheng, Lijun Wang, Daijian Luo, Yong Guo, Enpeng Yang, Lijun Zhang, Lu Han, Zhenghao Li, Changcheng Zhang

Urban Resources, Environment, and Ecology (UREE) Big Data Platform: Construction and Application

Abstract
The Urban Resources, Environment, and Ecology (UREE) big data platform stores and integrates comprehensive urban data and provides real-time data management and application. A seven-layer architecture UREE was established based on open and in-depth data and state-of-the-art technologies, including data acquisition and standardization, data query and visualization, data unified interface and fusion, and urban metabolism simulation. The UREE presents cutting-edge researches at the forefront of science on sustainable development. It has integrated ten urban thematic datasets from more than 300 Chinese cities and 100 global cities, most of which can be updated timely and regularly. This platform provides powerful technical support for monitoring dynamics and understanding mechanisms of urban resources, environment, and ecology. It can further provide theoretical and practical support for alleviating the Urban Problem in urbanization, such as resources structural shortage and environmental deterioration. This study is a new case on guiding data-driven discipline development, especially in the field of urban environment and ecology. Development, improvement, and application of the UREE platform can form a data-intensive science and adaptive paradigm of resources management.
Weiqiang Chen, Nan Li, Yupeng Liu

Present Situation and Development Prospect of the Digital Orchard Technology

Abstract
Fruit industry plays a crucial role in the development of rural economy in China. The Digital Orchard is the inevitable embodiment of information technology in the fruit industry from single application to comprehensive application, and it is also the key technology and application system for comprehensive application of digital technology to study information acquisition, processing, management and utilization during orchard production, management, operation, circulation and service. This paper introduced the concept and connotation of the Digital Orchard, summarizes the research and application status of the Digital Orchard technology, and looks forward to the future trend and key development direction of the Digital Orchard.
Guomin Zhou, Xue Xia

Study on Intelligent Management and Control Technology for Apiculture Production

Abstract
Facing the main battlefield of modern agricultural construction, Wisdom bee industry platform carries out key technology research and product development of the bee industry production intelligent management and control in beekeeping industry. Based on the comprehensive application of agricultural information technology such as mobile internet technology, artificial intelligence technology and Internet of Things technology, this paper focuses on the information collection and monitoring of the Internet of Things in the bee yard, the key equipment of the intelligent beehive, the quality and safety control system of the bee products and the big data analysis technology of the whole industry chain. Through intelligent sensing, interconnection and big data analysis, this paper implements bee industry information intelligent management, and provides users with standardized, automated and intelligent bee industry information service mode.
Shengping Liu, Yeping Zhu, Yue E., Jie Zhang, Chunyang Lv, Xiuming Guo

Machine Vision Based Phenotype Recognition of Plant and Animal

Abstract
Phenotype recognition is very important for plant and animal breeding, variety selection, genomics and phenomics. It is likewise a key technology to support the high-quality development of modern agriculture. Machine vision, as a key branch of artificial intelligence technology, is an important mode and means in the field of phenotype recognition. This paper summarizes the concepts and connotations, the technology and application examples of phenotypic visual perception and recognition of plant and animal at present in China, and discusses the problems and challenges of plant and animal phenotype recognition. Finally, this paper looks forward to the future development direction and application of vision-based phenotype recognition technology. The aim of this paper is to provide references for promoting the leap-forward development of agricultural phenotype recognition in China.
Qixin Sun, Xue Xia, Xiujuan Chai

Research and Application of Key Technologies for Request Prediction and Assignment on Ridesharing Platforms

Abstract
DiDi ridesharing platform provides users with accurate and high-precision travel services in real-time by using data-driven technology, machine learning method, large-scale distributed computing, operations optimization and other technique. The platform has made great breakthroughs in the key technologies of intelligent prediction and dispatch of travel platforms: Estimated Time of Arrival (ETA), Intelligent Dispatching and Supply and Demand Forecasting. We proposed a novel deep learning solution to predict the vehicle travel time based on floating-car data. We also present an order dispatch algorithm in large-scale on-demand ride-hailing platforms. While traditional order dispatch approaches usually focus on immediate customer satisfaction, the proposed algorithm is designed to provide a more efficient way to optimize resource utilization and user experience in a global and more farsighted view. We deploy the spatiotemporal multi-graph convolution network (ST-MGCN), a novel deep learning model for demand forecasting.
Bo Zhang, Jieping Ye, Xiaohu Qie, Guobin Wu, Liheng Tuo, Yiping Meng

Construction of a Scientific Research Integrated Management Information Service Platform Integration in a Form of Cross-Platform and Multi-disciplinary Organization

Abstract
In the era of big science, the scientific research is basically characterized by cross-platform, multi-discipline, and large-scale collaboration. Based on the abovementioned characteristics and by organically combining information with scientific research and integrating new generation information technologies (e.g., Internet of Things, Cloud Computing, Big Data and Mobile Internet), this study aimed to reconstruct the cloud center-based technical architecture and build an integrated scientific research management information service platform with scientists as center, focusing on scientific research activities and covering the integrated solutions which involved human resources, finance, condition guarantee, and daily office. The platform was expected to have the following integrated information service functions: the management collaboration of scientific research projects], the digitalization of scientific research activities, the compliance of scientific research funds, the sharing of equipment and instruments, the servitization of talent teams, the e-commercialization of supporting activities, the cyberization of scientific communication, and systematization of scientific and technological think tanks. Besides, the platform was expected to achieve the following objectives: to realize the horizontal close-loop management and vertical business interconnection of research units by human-centered application experience; to greatly improve the compliance of business and reduce the management risk of research units by refined full-cost control; to provide information support for improving the management system, optimizing the corporate governance structure and promoting the multi-disciplinary and cross-field big science cooperation and innovation.
Binjian Qiang, Rui Zhang, Yugang Chen, Tongtong Zhang
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