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Situational Awareness in Construction and Facility Management

Burcu Akinci

Frontiers of Engineering Management 2014, Volume 1, Issue 3,   Pages 283-289 doi: 10.15302/J-FEM-2014037

Abstract: Engineers and managers involved in construction and facility/infrastructure operations need situationalawareness about the as-is conditions when making daily decisions and developing short- and long-termYet, currently situational awareness of engineers is often challenged due to missing data and the available

Keywords： building information models (BIM)     sensors     facility operations and management     construction management     situationalawareness    

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Evaluation of the situational awareness effects for smart distribution networks under the novel

Leijiao GE, Yuanliang LI, Suxuan LI, Jiebei ZHU, Jun YAN

Frontiers in Energy 2021, Volume 15, Issue 1,   Pages 143-158 doi: 10.1007/s11708-020-0703-2

Abstract: Situational awareness (SA), which aims to provide a critical visibility of the SDN, will enable a significant

Keywords： distribution networks     operation and maintenance     expert systems    

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Situational awareness architecture for smart grids developed in accordance with dispatcher’s thought Review

You-bo LIU,Jun-yong LIU,Gareth TAYLOR,Ting-jian LIU,Jing GOU,Xi ZHANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 11,   Pages 1107-1121 doi: 10.1631/FITEE.1601516

Abstract: issues, we first introduce the background for this topic as well as the emerging technical demands of situationalawareness in the dispatcher’s environment.The general concepts and technical requirements of situational awareness are then summarized, aimed atFinally, the prospects for situational awareness architecture are investigated with the goal of presentingsituational awareness modules in an advanced and visualized manner.

Keywords： Smart grid     Situational awareness     Dispatcher’     s thought process     Technical architecture    

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Empowering smart city situational awareness via big mobile data Review Article

Zhiguang SHAN, Lei SHI, Bo LI, Yanqiang ZHANG, Xiatian ZHANG, Wei CHEN,shanzg@sic.gov.cn,leishi@buaa.edu.cn,libo@act.buaa.edu.cn,zhangyanqiang@163.com

Frontiers of Information Technology & Electronic Engineering 2024, Volume 25, Issue 2,   Pages 286-307 doi: 10.1631/FITEE.2300453

Abstract: has recently emerged as a hot topic in research societies, industries, and governments because of its potential to integrate cutting-edge information technology and solve urgent challenges that modern cities face. For example, in the latest five-year plan, the Chinese government has highlighted the demand to empower management with new technologies such as big data and Internet of Things, for which is normally the crucial first step. While traditional static surveillance data on cities have been available for decades, this review reports a type of relatively new yet highly important urban data source, i.e., the big collected by devices with various levels of mobility representing the movement and distribution of public and private agents in the city. We especially focus on enabled by synthesizing the localization of hundreds of thousands of mobile software Apps using the Global Positioning System (GPS). This technique enjoys advantages such as a large penetration rate (~50% urban population covered), uniform spatiotemporal coverage, and high localization precision. We first discuss the pragmatic requirements for and the challenges faced. Then we introduce two suites of empowering technologies that help fulfill the requirements of (1) cybersecurity insurance for smart cities and (2) spatiotemporal modeling and visualization for , both via big . The main contributions of this review lie in the description of a comprehensive technological framework for and the demonstration of its feasibility via real-world applications.

Keywords： Smart city     Mobile data     Situational awareness    

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Biologically Inspired Design of Context-Aware Smart Products Article

Ang Liu, Ivan Teo, Diandi Chen, Stephen Lu, Thorsten Wuest, Zhinan Zhang, Fei Tao

Engineering 2019, Volume 5, Issue 4,   Pages 637-645 doi: 10.1016/j.eng.2019.06.005

Abstract: Context-awareness is an important facet of product smartness.Unlike artifacts, various bio-systems are naturally characterized by their extraordinary context-awarenessThe meaning of context-awareness is defined from the perspective of product design.

Keywords： Design method     Biologically inspired design     Context-awareness     Intelligent design    

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Development Status and Prospects of Ecological Environment Big Data in China

Wang Yuntao ,Wang Guoqiang ,Wang Qiao , Zhang Qingzhu

Strategic Study of CAE 2022, Volume 24, Issue 5,   Pages 56-62 doi: 10.15302/J-SSCAE-2022.05.021

Abstract: Countermeasures are proposed focusing on management mechanism, data resource awareness, technology

Keywords： ecological environment     big data     coordination mechanism     resource awareness    

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Reachability-Based Confidence-Aware Probabilistic Collision Detection in Highway Driving

Xinwei Wang, Zirui Li, Javier Alonso-Mora, Meng Wang

Engineering 2024, Volume 33, Issue 2,   Pages 90-107 doi: 10.1016/j.eng.2023.10.010

Abstract:

Risk assessment is a crucial component of collision warning and avoidance systems for intelligent vehicles. Reachability-based formal approaches have been developed to ensure driving safety to accurately detect potential vehicle collisions. However, they suffer from over-conservatism, potentially resulting in false–positive risk events in complicated real-world applications. In this paper, we combine two reachability analysis techniques, a backward reachable set (BRS) and a stochastic forward reachable set (FRS), and propose an integrated probabilistic collision–detection framework for highway driving. Within this framework, we can first use a BRS to formally check whether a two-vehicle interaction is safe; otherwise, a prediction-based stochastic FRS is employed to estimate the collision probability at each future time step. Thus, the framework can not only identify non-risky events with guaranteed safety but also provide accurate collision risk estimation in safety–critical events. To construct the stochastic FRS, we develop a neural network-based acceleration model for surrounding vehicles and further incorporate a confidenceaware dynamic belief to improve the prediction accuracy. Extensive experiments were conducted to validate the performance of the acceleration prediction model based on naturalistic highway driving data. The efficiency and effectiveness of the framework with infused confidence beliefs were tested in both naturalistic and simulated highway scenarios. The proposed risk assessment framework is promising for real-world applications.

Keywords： Probabilistic collision detection     Confidence awareness     Probabilistic acceleration prediction     Reachability    

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Strategy and Measurement for Prevention and Control of Hypertension in Canada

Sun Dianjun,Zhao Yashuang,Zhang Wei,Lv Yanjie,Tian Ye,Zhang Yong,Gao Yanhui,Li Xia,Fu Jinming and Yang Baofeng

Strategic Study of CAE 2017, Volume 19, Issue 2,   Pages 117-121 doi: 10.15302/J-SSCAE-2017.02.020

Abstract:

Hypertension is a public health issue around the world. At present, Canada is one of the few countries that have achieved remarkable success in the prevention and control of hypertension. Canada has accumulated a considerable amount of advanced experience in the control of hypertension and in the implementation of effective measures against it. This article introduces the prevalence of hypertension in Canada and the development of control strategies and measures against hypertension in Canada, including the Canadian Hypertension Society, the Canadian Hypertensive Education Program, public policies, community interventions, and healthcare systems. We summarize these advanced experiences in order to provide a policy-making basis for the development of hypertension prevention and control in China.

Keywords： hypertension     awareness rate     control rate     treatment rate    

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Shadow obstacle model for realistic corner-turning behavior in crowd simulation

Gao-qi HE,Yi JIN,Qi CHEN,Zhen LIU,Wen-hui YUE,Xing-jian LU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3,   Pages 200-211 doi: 10.1631/FITEE.1500253

Abstract: This paper describes a novel model known as the shadow obstacle model to generate a realistic corner-turning behavior in crowd simulation. The motivation for this model comes from the observation that people tend to choose a safer route rather than a shorter one when turning a corner. To calculate a safer route, an optimization method is proposed to generate the corner-turning rule that maximizes the viewing range for the agents. By combining psychological and physical forces together, a full crowd simulation framework is established to provide a more realistic crowd simulation. We demonstrate that our model produces a more realistic corner-turning behavior by comparison with real data obtained from the experiments. Finally, we perform parameter analysis to show the believability of our model through a series of experiments.

Keywords： Corner-turning behavior     Crowd simulation     Safety awareness     Rule-based model    

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Construction of Strategic Early-Warning System in Cyberspace

Zhuang Honglin, Yao Le, Wang Sheng, Gu Jiaxiang, Wu Ye, Xie Kai

Strategic Study of CAE 2021, Volume 23, Issue 2,   Pages 1-7 doi: 10.15302/J-SSCAE-2021.02.001

Abstract:

Cyberspace strategic early-warning is a monitoring and warning system that is established by a country or group for early detection, tracking, identification, and notification of incoming major cyber attacks or the spreading destruction of powerful viruses. It’s an important component of a national security defense system. The implementation of the national cyber development strategy in China requires high attentions to the construction of a cyberspace strategic early-warning system. This study analyzes the major characteristics and basic requirements of strategic early-warning in cyberspace, and studies four major warning styles: security vulnerabilities, security threats, intrusion attacks, and abnormal behaviors warning. It also emphasizes four key projects, namely cyberspace surveying and mapping system, vulnerability collection and early-warning platform, threat intelligence perception and push system, as well as security monitoring and comprehensive early-warning system, after summarizing the construction of strategic early-warning and monitoring systems in cyberspace in China and abroad. Furthermore, we propose several countermeasures and suggestions, including strengthening high-level coordination, focusing on multi-source data integration, establishing professional earlywarning agencies, conducting regular security assessments, and implementing threat and early-warning grading mechanisms.

Keywords： cyberspace security     strategic early warning     situation awareness     system construction    

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Collaborative learning via social computing None

Ricardo S. ALONSO, Javier PRIETO, Óscar GARCÍA, Juan M. CORCHADO

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2,   Pages 265-282 doi: 10.1631/FITEE.1700840

Abstract:

Educational innovation is a field that has been greatly enriched by using technology in its processes, resulting in a learning model where information comes from numerous sources and collaboration takes place among multiple students. One attractive challenge within educational innovation is the design of collaborative learning activities from the social computing point of view, where collaboration is not limited to student-to-student relationships, but includes student-to-machine interactions. At the same time, there is a great lack of tools that give support to the whole learning process and are not restricted to specific aspects of the educational task. In this paper, we present and evaluate context-aware framework for collaborative learning applications (CAFCLA) as a solution to these problems. CAFCLA is a flexible framework that covers the entire process of developing collaborative learning activities, taking advantage of contextual information and social interactions. Its application in the experimental case study of a collaborative WebQuest within a museum has shown that, among other benefits, the use of social computing improves the learning process, fosters collaboration, enhances relationships, and increases engagement.

Keywords： Context-awareness     Collaborative learning     Social computing     Virtual organizations     Wireless sensor networks    

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A multipath routing algorithm for satellite networksbased on service demand and traffic awareness Research Article

Ziyang XING, Hui QI, Xiaoqiang DI, Jinyao LIU, Rui XU, Jing CHEN, Ligang CONG,dixiaoqiang@cust.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 6,   Pages 844-858 doi: 10.1631/FITEE.2200507

Abstract: With the reduction in manufacturing and launch costs of low Earth orbit satellites and the advantages of large coverage and high data transmission rates, satellites have become an important part of data transmission in air-ground networks. However, due to the factors such as geographical location and people’s living habits, the differences in user’ demand for multimedia data will result in unbalanced network traffic, which may lead to network congestion and affect data transmission. In addition, in traditional transmission, the convergence of network information acquisition is slow and global network information cannot be collected in a fine-grained manner, which is not conducive to calculating optimal routes. The service quality requirements cannot be satisfied when multiple service requests are made. Based on the above, in this paper artificial intelligence technology is applied to the , and a software-defined network is used to obtain the global network information, perceive network traffic, develop comprehensive decisions online through , and update the optimal routing strategy in real time. Simulation results show that the proposed algorithm has good convergence performance and strong generalizability. Compared with traditional routing, the throughput is 8% higher, and the proposed method has load balancing characteristics.

Keywords： Software-defined network (SDN)     Quick user datagram protocol Internet connection (QUIC)     Reinforcement learning     Sketch     Multi-service demand     Satellite network    

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Title Author Date Type Operation

Situational Awareness in Construction and Facility Management

Burcu Akinci

Journal Article

Evaluation of the situational awareness effects for smart distribution networks under the novel

Leijiao GE, Yuanliang LI, Suxuan LI, Jiebei ZHU, Jun YAN

Journal Article

Situational awareness architecture for smart grids developed in accordance with dispatcher’s thought

You-bo LIU,Jun-yong LIU,Gareth TAYLOR,Ting-jian LIU,Jing GOU,Xi ZHANG

Journal Article

Empowering smart city situational awareness via big mobile data

Zhiguang SHAN, Lei SHI, Bo LI, Yanqiang ZHANG, Xiatian ZHANG, Wei CHEN,shanzg@sic.gov.cn,leishi@buaa.edu.cn,libo@act.buaa.edu.cn,zhangyanqiang@163.com

Journal Article

Biologically Inspired Design of Context-Aware Smart Products

Ang Liu, Ivan Teo, Diandi Chen, Stephen Lu, Thorsten Wuest, Zhinan Zhang, Fei Tao

Journal Article

Development Status and Prospects of Ecological Environment Big Data in China

Wang Yuntao ,Wang Guoqiang ,Wang Qiao , Zhang Qingzhu

Journal Article

Reachability-Based Confidence-Aware Probabilistic Collision Detection in Highway Driving

Xinwei Wang, Zirui Li, Javier Alonso-Mora, Meng Wang

Journal Article

Strategy and Measurement for Prevention and Control of Hypertension in Canada

Sun Dianjun,Zhao Yashuang,Zhang Wei,Lv Yanjie,Tian Ye,Zhang Yong,Gao Yanhui,Li Xia,Fu Jinming and Yang Baofeng

Journal Article

Shadow obstacle model for realistic corner-turning behavior in crowd simulation

Gao-qi HE,Yi JIN,Qi CHEN,Zhen LIU,Wen-hui YUE,Xing-jian LU

Journal Article

Construction of Strategic Early-Warning System in Cyberspace

Zhuang Honglin, Yao Le, Wang Sheng, Gu Jiaxiang, Wu Ye, Xie Kai

Journal Article

Collaborative learning via social computing

Ricardo S. ALONSO, Javier PRIETO, Óscar GARCÍA, Juan M. CORCHADO

Journal Article

A multipath routing algorithm for satellite networksbased on service demand and traffic awareness

Ziyang XING, Hui QI, Xiaoqiang DI, Jinyao LIU, Rui XU, Jing CHEN, Ligang CONG,dixiaoqiang@cust.edu.cn

Journal Article

Li Xinyu: Research on the relationship Between Institutional Pressure, Executives' Awareness of Environmental

19 May 2022

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