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traceability system 2

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The quality traceability system for prefabricated buildings using blockchain: An integrated framework

Ziyao ZHANG, Zhenmin YUAN, Guodong NI, Han LIN, Yujie LU

Frontiers of Engineering Management 2020, Volume 7, Issue 4,   Pages 528-546 doi: 10.1007/s42524-020-0127-z

Abstract: The quality traceability of precast components has largely affected the widespread adoption of prefabricatedBlockchain technology provides an effective solution to change the centralized storage mode of traditional traceabilityIn this paper, we propose a framework of quality traceability system for precast components based oneffectively achieve the goals of decentralization, openness, and non-tamperability, as well as efficient traceability

Keywords： quality traceability     precast components     blockchain     framework    

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Development of Quality and Safety Traceability of Agricultural Products Based on Internet Plus

Yang Yaping, Jiang Hou, Hu Yunfeng, Sun Jiulin

Strategic Study of CAE 2020, Volume 22, Issue 4,   Pages 58-64 doi: 10.15302/J-SSCAE-2020.04.007

Abstract: The Internet Plus initiative has accelerated the building of quality and safety standards and traceabilitystandards, lack of width, depth, and accuracy of traceability information, weak commercial operationcapacity, and insufficient sustainability of traceability systems.We propose promoting the standardization of information traceability, improving the national traceabilityBy this means, we hope that China can realize the long-term goals of building a sustainable traceability

Keywords： Internet Plus     quality safety of agricultural products     traceability system     development suggestions    

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Design and Implementation of Traceability System of Agricultural Product Quality and Safety Based on

Hu Yunfeng,Dong Yu,Sun Jiulin

Strategic Study of CAE 2018, Volume 20, Issue 2,   Pages 63-71 doi: 10.15302/J-SSCAE-2018.02.010

Abstract: requirements on the source and quality of agricultural products; purchased agricultural products need more traceabilitymobile Internet to implement across the three dimensions of width, depth, and accuracy of the food traceabilitynotifications, two-dimensional code association, and back-tracing, the authors form a quality and safety traceabilityIn future, this system may be expanded to the quality and safety traceability business of all agriculturalAdditionally, further study can facilitate the establishment of a unified traceability standard at the

Keywords： gridding     agricultural product     quality safety     traceability hierarchy     back-tracing system    

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Current Status and Future Development Proposal for Chinese Agricultural Product Quality and Safety Traceability

Hu Yunfeng,Sun Jiulin,Zhang Qianli and Han Yueqi

Strategic Study of CAE 2018, Volume 20, Issue 2,   Pages 57-62 doi: 10.15302/J-SSCAE-2018.02.009

Abstract: and regions in the world, such as the European Union and the United States, on the construction of traceabilityNext, the development of the Chinese agricultural products traceability system since 2000 is analyzedrecommendations for the future development of China’s agricultural product quality and safety traceability

Keywords： agricultural product     quality and safety     traceability system     current situation of development     development    

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Automatic traceability link recovery via active learning Research Articles

Tian-bao Du, Guo-hua Shen, Zhi-qiu Huang, Yao-shen Yu, De-xiang Wu,tbdu_312@outlook.com,ghshen@nuaa.edu.cn,zqhuang@nuaa.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 8,   Pages 1217-1225 doi: 10.1631/FITEE.1900222

Abstract: Previous research has proposed to establish traceability links by machine learning approaches.However, current machine learning approaches cannot be well applied to projects without traceabilityinformation (links), because training an effective predictive model requires humans label too many traceabilityWe evaluate the AL-based approach on seven commonly used traceability datasets and compare it with an

Keywords： Automatic     Traceability link recovery     Manpower     Active learning    

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Scientific Connotation and Development Strategy of Standard Reference Data

Fang Xiang, Yu Lianchao, Ren Siyuan, Xiong Xingchuang

Strategic Study of CAE 2023, Volume 25, Issue 3,   Pages 230-238 doi: 10.15302/J-SSCAE-2023.07.021

Abstract:

Standard reference data is a type of high-quality scientific data and has both metrological and technical standard attributes; therefore, it is an important national science foundation and strategic resources. Research on the standard reference data in China lags significantly behind the advanced world level, causing potential risks to scientific research and production. This study explores the scientific connotation, extended characteristics, and strategic values of standard reference data, and analyzes the progress, management system, international influence, and practical application of standard reference data in the United States. Moreover, the current status of standard reference data development in China is viewed, key problems such as unclear concept, insufficient top-level design, lack of data resource accumulation, and missing management system are highlighted, and a construction path for standard reference data in China is proposed. Furthermore, the study recommends establishing a sound policy system for standard reference data, strengthening the financial guarantee for relevant research, strengthening publicity and education to accelerate the cultivation of talents, and encouraging international cooperation.

Keywords： scientific data     metrological traceability     standardization     standard reference data    

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Review of operational management in intelligent agriculture based on the Internet of Things

Xiangpei HU, Lijun SUN, Yaxian ZHOU, Junhu RUAN

Frontiers of Engineering Management 2020, Volume 7, Issue 3,   Pages 309-322 doi: 10.1007/s42524-020-0107-3

Abstract: agricultural IoT (Agri-IoT) technology, (2) the precision management of agricultural production, and (3) the traceability

Keywords： agricultural Internet of Things (Agri-IoT)     operational management     intelligent agriculture     precision management     traceability    

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A Blockchain-Based Life-Cycle Environmental Management Framework for Hospitals in the COVID-19 Context Article

Botao Zhong,Han Gao,Lieyun Ding,Yuhang Wang

Engineering 2023, Volume 20, Issue 1,   Pages 208-221 doi: 10.1016/j.eng.2022.06.024

Abstract:

During the coronavirus disease 2019 (COVID-19) emergency, many hospitals were built or renovated around the world to meet the challenges posed by the rising number of infected cases. Environmental management in the hospital life cycle is vital in preventing nosocomial infection and includes many infection control procedures. In certain urgent situations, a hospital must be completed quickly, and work process approval and supervision must therefore be accelerated. Thus, many works cannot be checked in detail. This results in a lack of work liability control and increases the difficulty of ensuring the fulfillment of key infection prevention measures. This study investigates how blockchain technology can transform the work quality inspection workflow to assist in nosocomial infection control under a fast delivery requirement. A blockchain-based life-cycle environmental management framework is proposed to track the fulfillment of crucial infection control measures in the design, construction, and operation stages of hospitals. The proposed framework allows for work quality checking after the work is completed, when some work cannot be checked on time. Illustrative use cases are selected to demonstrate the capabilities of the developed solution. This study provides new insights into applying blockchain technology to address the challenge of environmental management brought by rapid delivery requirements.

Keywords： Blockchain     Environmental management     Nosocomial infection control     Work quality management     Life-cycle traceability    

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The Obligation of Decryption Assistance by Internet Service Providers: Suggestions on the Amendment of Article 27 of the Network Security Law Draft (Second Draft)

Cui Congcong,Li Yuxiao and Han Song

Strategic Study of CAE 2016, Volume 18, Issue 6,   Pages 34-38 doi: 10.15302/J-SSCAE-2016.06.007

Abstract: should gather data under encryption by users on the basis of the principles of controllability and traceability

Keywords： assistance     principle of necessity     principle of proportionality     principle of controllability and traceability    

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Analyzing close relations between target artifacts for improving IR-based requirement traceability recovery Research Articles

Haijuan Wang, Guohua Shen, Zhiqiu Huang, Yaoshen Yu, Kai Chen,18895681787@163.com,ghshen@nuaa.edu.cn,zqhuang@nuaa.edu.cn,yaoshen.yu@outlook.com

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 7,   Pages 957-968 doi: 10.1631/FITEE.2000126

Abstract: is an important and costly task that creates trace links from requirements to different software artifacts. These trace links can help engineers reduce the time and complexity of software maintenance. The (IR) technique has been widely used in . It uses the textual similarity between software artifacts to create links. However, if two artifacts do not share or share only a small number of words, the performance of the IR can be very poor. Some methods have been developed to enhance the IR by considering relations between , but they have been limited to code rather than to other types of . To overcome this limitation, we propose an automatic method that combines the IR method with the between . Specifically, we leverage between rather than just text matching from requirements to . Moreover, the method is not limited to the type of when considering the relations between . We conduct experiments on five public datasets and take account of trace links between requirements and different types of software artifacts. Results show that under the same recall, the precisions on the five datasets improve by 40%, 8%, 20%, 4%, and 6%, respectively, compared with the baseline method. The precision on the five datasets improves by an average of 15.6%, showing that our method outperforms the baseline method when working under the same conditions.

Keywords： 需求追踪；信息检索；紧密关系；目标制品    

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Title Author Date Type Operation

The quality traceability system for prefabricated buildings using blockchain: An integrated framework

Ziyao ZHANG, Zhenmin YUAN, Guodong NI, Han LIN, Yujie LU

Journal Article

Development of Quality and Safety Traceability of Agricultural Products Based on Internet Plus

Yang Yaping, Jiang Hou, Hu Yunfeng, Sun Jiulin

Journal Article

Design and Implementation of Traceability System of Agricultural Product Quality and Safety Based on

Hu Yunfeng,Dong Yu,Sun Jiulin

Journal Article

Current Status and Future Development Proposal for Chinese Agricultural Product Quality and Safety Traceability

Hu Yunfeng,Sun Jiulin,Zhang Qianli and Han Yueqi

Journal Article

Automatic traceability link recovery via active learning

Tian-bao Du, Guo-hua Shen, Zhi-qiu Huang, Yao-shen Yu, De-xiang Wu,tbdu_312@outlook.com,ghshen@nuaa.edu.cn,zqhuang@nuaa.edu.cn

Journal Article

Scientific Connotation and Development Strategy of Standard Reference Data

Fang Xiang, Yu Lianchao, Ren Siyuan, Xiong Xingchuang

Journal Article

Review of operational management in intelligent agriculture based on the Internet of Things

Xiangpei HU, Lijun SUN, Yaxian ZHOU, Junhu RUAN

Journal Article

A Blockchain-Based Life-Cycle Environmental Management Framework for Hospitals in the COVID-19 Context

Botao Zhong,Han Gao,Lieyun Ding,Yuhang Wang

Journal Article

The Obligation of Decryption Assistance by Internet Service Providers: Suggestions on the Amendment of Article 27 of the Network Security Law Draft (Second Draft)

Cui Congcong,Li Yuxiao and Han Song

Journal Article

Analyzing close relations between target artifacts for improving IR-based requirement traceability recovery

Haijuan Wang, Guohua Shen, Zhiqiu Huang, Yaoshen Yu, Kai Chen,18895681787@163.com,ghshen@nuaa.edu.cn,zqhuang@nuaa.edu.cn,yaoshen.yu@outlook.com

Journal Article