Jia‐Rui Lin

Tsinghua University

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Zhen‐Zhong Hu

Tsinghua University

Yucheng Zhou

Hangzhou Medical College

Xinzheng Lu

China University of Petroleum, Beijing

Jianping Zhang

East China Jiaotong University

Keyin Chen

Second Affiliated Hospital of Zhejiang University

Zhe Zheng

Moderna Therapeutics (United States)

Yichuan Deng

South China University of Technology

Zhe Zheng

China National Commission for Disaster Reduction

Xiang-Rui Ni

Tsinghua University

Zhe Zheng

Tianjin Normal University

Cooperative Institutions

Tsinghua University

Institute of Seismology

Chinese Academy of Sciences

Huazhong University of Science and Technology

Alexion Pharma (Switzerland)

Geomechanica (Canada)

Sun Yat-sen University

Shanghai Jiao Tong University

Nanchang University

Shantou University

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Work package-based information modeling for resource-constrained scheduling of construction projects

Automation in Construction (2019)

Heng-Wei Wang Jia‐Rui Lin Jianping Zhang

Information model

Building Information Modeling

Information flow

10.1016/j.autcon.2019.102958

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Citations (57)

A Hybrid Data Mining Method for Tunnel Engineering Based on Real-Time Monitoring Data From Tunnel Boring Machines

IEEE Access (2020)

Shuo Leng Jia‐Rui Lin Zhen‐Zhong Hu Xuesong Shen

Tunnel engineering is one of the typical megaprojects given its long construction period, high construction costs and potential risks. Tunnel boring machines (TBMs) are widely used in tunnel engineering to improve work efficiency and safety. During the tunneling process, large amount of monitoring data has been recorded by TBMs to ensure construction safety. Analysis of the massive real-time monitoring data still lacks sufficiently effective methods and needs to be done manually in many cases, which brings potential dangers to construction safety. This paper proposes a hybrid data mining (DM) approach to process the real-time monitoring data from TBM automatically. Three different DM techniques are combined to improve mining process and support safety management process. In order to provide people with the experience required for on-site abnormal judgement, association rule algorithm is carried out to extract relationships among TBM parameters. To supplement the formation information required for construction decision-making process, a decision tree model is developed to classify formation data. Finally, the rate of penetration (ROP) is evaluated by neural network models to find abnormal data and give early warning. The proposed method was applied to a tunnel project in China and the application results verified that the method provided an accurate and efficient way to analyze real-time TBM monitoring data for safety management during TBM construction.

Safety Monitoring

Process Safety

10.1109/access.2020.2994115

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Citations (36)

What makes a good BIM design? Quantifying the link between design behavior and quality

Automation in Construction (2025)

Xiang-Rui Ni Peng Pan Jia‐Rui Lin

Link (geometry)

10.1016/j.autcon.2025.105992

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Design recovery for software testing of object-oriented programs

Proceedings - Working Conference on Reverse Engineering (2002)

Chenho Kung Jerry Gao Pei Hsia Jia‐Rui Lin Y. Yoyoshima

A reverse engineering approach for software testing of object-oriented programs is described. The approach is based on a graphic model which consists of three types of diagrams: object relation diagrams; block branch diagrams; and object state diagrams. These diagrams may be used to provide guidance on the order to test the classes and member functions; prepare member function test cases; prepare test cases for object state dependent behaviors and interaction between such behaviors; and provide graphic display of coverage information to a tester.< >

Block diagram

Reverse engineering

10.1109/wcre.1993.287764

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Citations (37)

BIM Application in Owner and EPC Contractor Collaborative Management of a Large-Scale Public Building Project

Qi Wen Jia‐Rui Lin J Zhang Xinzi Wang Changhao Qiu

Source

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BIM- and IoT-based monitoring framework for building performance management

Journal of Structural Integrity and Maintenance (2018)

Kai Kang Jia‐Rui Lin Jianping Zhang

During the operation and maintenance period of buildings, a monitoring system established to monitor the internal environment can be very helpful to ensure that buildings are in good condition. However, the existing monitoring systems still need improvements in data interoperability and smart sensing. This paper established a new monitoring framework based on Building Information Modeling (BIM) and IoT (Internet of Things) Technology. In this proposed framework, BIM is used to maintain the 3D data of the building, while a time-series database called InfluxDB is introduced for storage of monitoring data. Then, a monitoring server based on Message Queuing Telemetry Transport protocol is established, providing a low-cost and reliable communication. Meanwhile, Arduino microcontrollers with some sensors are adopted as the nodes of the monitoring network, aiming to collect real-time data of the environment and upload the data to the server. Finally, a prototype system is developed to demonstrate the proposed framework. Testing of the developed system and corresponding IoT sensors shows that combination of BIM and IoT technology provides a comprehensive view of the status of the buildings and improves the efficiency of information utilization.

MQTT

Upload

Message queue

Building Information Modeling

Arduino

10.1080/24705314.2018.1536318

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Citations (40)

The affection of grey levels on mutual information based medical image registration

IEEE Nuclear Science Symposium conference record (2004)

Zhiyong Gao Jia‐Rui Lin Bangquan Xu

Multimodal registration, which bringing images from different modality into spatia correspondence, is of importance in many clinical applications. Medical image registration is an active research filed in medical image processing in the last two decades. Over the years, research of multinodal registration has produced a lot of different methods. Surveys of medical image registration with a classification have been made.

Image registration

Medical information

10.1109/nssmic.2002.1239623

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Citations (6)

A Review on 3D Spatial Data Analytics for Building Information Models

Archives of Computational Methods in Engineering (2019)

Yuwei Zhou Zhen‐Zhong Hu Jia‐Rui Lin Jianping Zhang

Building Information Modeling

10.1007/s11831-019-09356-6

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Citations (35)

Development And Experimental Research Of The Measurement And Diagnosis Device With Multiparameters Of Stomach And Esophagus

Xue‐Mei Lin Jia‐Rui Lin Qianlin Duan Jing Wen Hong Yu

Thispaper introducesthe development.and research of measurement and diagnosis device with multiparameters of stomach and esophagus. The resultsofanimal experiments and part of clinic experiments have indicated that gastric pressure, pH,temperature and EGG correlate with each other. The instrument may describe the d igestive disease in numberical quantities, and then we can reach the goal of adied diagnosis.

Pressure measurement

10.1109/iembs.1991.684047

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[Software for MR image reconstruction from data acquired on an irregular k-space trajectory].

PubMed (2003)

Yongxian Qian Lirong Liu Kai Xu Jia‐Rui Lin

k-space

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