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Static-based early-damage detection using symbolic data analysis and unsupervised learning methods

João Pedro SANTOS,Christian CREMONA,André D. ORCESI,Paulo SILVEIRA,Luis CALADO

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 1,   Pages 1-16 doi: 10.1007/s11709-014-0277-3

Abstract: combination of advanced statistical and machine learning methods such as principal component analysis, symbolic

Keywords： structural health monitoring     early-damage detection     principal component analysis     symbolic data     symbolicdissimilarity measures     cluster analysis     numerical model     damage simulations    

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Bridging the gap: Neuro-Symbolic Computing for advanced AI applications in construction

Frontiers of Engineering Management   Pages 727-735 doi: 10.1007/s42524-023-0266-0

Abstract: The integration of Neuro-Symbolic Computing (NSC), an emerging field that combines DL and symbolic reasoningrobust, interpretable, and accurate AI systems in construction by harnessing the strengths of DL and symbolic

Keywords： advanced AI in construction     safety and quality inspection     Neuro-Symbolic Computing     Deep Learning    

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Efficiency of scalar and vector intensity measures for seismic slope displacements

Gang WANG

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 1,   Pages 44-52 doi: 10.1007/s11709-012-0138-x

Abstract: Ground motion intensity measures are usually used to predict the earthquake-induced displacements inIn this study, the efficiency of various single ground motion intensity measures (scalar ) or a combination

Keywords： seismic slope displacements     intensity measures     empirical prediction    

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Optimization design of anti-seismic engineering measures for intake tower based on non-dominated sorting

Frontiers of Structural and Civil Engineering   Pages 1428-1441 doi: 10.1007/s11709-023-0998-2

Abstract: Therefore, effective and low-cost anti-seismic engineering measures must be designed for protection.The method adopted in this study may provide significant references for designing anti-seismic measures

Keywords： intake tower     NSGA-II     mode decomposition response spectrum method     anti-seismic engineering measures    

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Unnormalized and normalized forms of gefura measures in directed and undirected networks

Raf GUNS,Ronald ROUSSEAU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 4,   Pages 311-320 doi: 10.1631/FITEE.1400425

Abstract: Common network centrality measures do not take this structure into account.Gefura measures are designed as indicators of a node’s brokerage role between such groups.make the following new contributions to their study: (1) We systematically study unnormalized gefura measuresundirected networks as equivalent to symmetric directed networks, we expand the definition of gefura measures

Keywords： Networks subdivided in groups     Partitions     Gefura measures     Q-measures     Brokerage role     Directed and    

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Automated optimization technique of CMOS analog cell circuit based on symbolic analysis

Zheng Weishan,Deng Qing,Liu Zhaoxia,Shi Longxing

Strategic Study of CAE 2009, Volume 11, Issue 4,   Pages 50-56

Abstract: The proposed method uses symbolic analysis technique to generate exact analytic performance equationsThe symbolic model is then passed to the genetic algorithm and is used as evaluating performance criterion

Keywords： optimization     performance equation     symbolic analysis     genetic algorithm    

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Improvement to observability measures of LFO modes in power systems with DFIGs

Shenghu LI

Frontiers in Energy 2021, Volume 15, Issue 2,   Pages 539-549 doi: 10.1007/s11708-019-0617-z

Abstract: The sensitivities of the observability measures to the control parameters are derived.small and large-disturbance validate the LFO modes caused by the DFIGs, and different observability measures

Keywords： wind power system     low-frequency oscillation (LFO)     observability measure     sensitivity     doubly-fed induction generator (DFIG)    

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Symbolic representation based on trend features for knowledge discovery in long time series

Hong YIN,Shu-qiang YANG,Xiao-qian ZHU,Shao-dong MA,Lu-min ZHANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 9,   Pages 744-758 doi: 10.1631/FITEE.1400376

Abstract: The symbolic representation of time series has attracted much research interest recently.In this paper, we propose a new symbolic representation method for long time series based on trend features, called trend feature symbolic approximation (TFSA).Unlike some previous symbolic methods, it focuses on retaining most of the trend features and patterns

Keywords： Long time series     Segmentation     Trend features     Symbolic     Knowledge discovery    

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New Challenges, New Opportunities and New Measures for Oil and Gas Cooperation in the Belt and Road

Yu-pu Wang,He Liu

Frontiers of Engineering Management 2016, Volume 3, Issue 4,   Pages 301-313 doi: 10.15302/J-FEM-2016055

Abstract: Enhancing capacities in four areas and implementing the 16 measures are given for deepening oil and gas

Keywords： the Belt and Road     oil & gas cooperation     new challenges     new opportunities     new measures    

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Modified condition/decision coverage (MC/DC) oriented compiler optimization for symbolic execution

Wei-jiang Hong, Yi-jun Liu, Zhen-bang Chen, Wei Dong, Ji Wang,zbchen@nudt.edu.cn,wdong@nudt.edu.cn,wj@nudt.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9,   Pages 1267-1412 doi: 10.1631/FITEE.1900213

Abstract: is an effective way of systematically exploring the search space of a program, and is often used for automatic software testing and bug finding. The program to be analyzed is usually compiled into a binary or an intermediate representation, on which is carried out. During this process, s influence the effectiveness and efficiency of . However, to the best of our knowledge, there exists no work on recommendation for with respect to (w.r.t.) , which is an important testing coverage criterion widely used for mission-critical software. This study describes our use of a state-of-the-art tool to carry out extensive experiments to study the impact of s on w.r.t. MC/DC. The results indicate that instruction combining (IC) optimization is the important and dominant optimization for w.r.t MC/DC. We designed and implemented a support vector machine based method w.r.t. IC (denoted as auto). The experiments on two standard benchmarks (Coreutils and NECLA) showed that auto achieves the best MC/DC on 67.47% of Coreutils programs and 78.26% of NECLA programs.
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Implement and Innovate Environmental Protection Measures, Promote Green Protection of Cultural Relics

Fu-qing Liang,Yong-ping Sun

Frontiers of Engineering Management 2014, Volume 1, Issue 4,   Pages 330-335 doi: 10.15302/J-FEM-2014055

Abstract: The subject is implementing and innovating environmental protection measures, and promoting green protection

Keywords： environmental science     the Three Gorges cultural relics     innovate environmental protection measures     green    

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The Development Situation, Future and Counter Measures of Remanufacturing Industry in China

Wen-qiang Liu,Jun-yuan Mo,Cheng-kui Gu

Frontiers of Engineering Management 2016, Volume 3, Issue 2,   Pages 123-131 doi: 10.15302/J-FEM-2016021

Abstract: developmental trends and problems of the remanufacturing industry in China, and proposes promoting measures

Keywords： remanufacturing     industry     measures     development    

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Situation and measures of China’s CO

Jiankun HE

Frontiers in Energy 2018, Volume 12, Issue 3,   Pages 353-361 doi: 10.1007/s11708-018-0564-0

Abstract:

Global response to climate change has entered the phase of full implementation of the Paris Agreement. To control the global temperature rise below 2°C, all countries must make more efforts to reduce emission. China has combined its goal of emission reduction for combating climate change with its domestic sustainable development strategy to promote energy revolution and the transition of economic development to low-carbon patterns. Through reinforcing the commitment and action before 2020, the CO2 intensity of GDP can decrease by more than 50% by 2020 compared with that of 2005, and the external commitment target of a 40%–45% decrease can be over fulfilled. Currently, under the new economic normal, China further strengthens the policy measure, vigorously saves energy, enhances energy use efficiency and the economic output benefit, and simultaneously develops new and renewable energy and accelerates energy structural decarbonization, so that the annual decrease rate of the CO2 intensity of GDP keeps a high level of more than 4% and remains increasing. Thus, the decrease rate of the CO2 intensity of GDP will exceed the GDP growth rate, and then CO2 emission will peak around 2030. This will promote the fundamental turning of economic development mode, and lay a foundation for the establishment of a sustainable energy system with near-zero emissions and with new and renewable energy as the main body in the second half of this century. China implements the concept of green low-carbon development and accelerates the low carbon transition of energy and economy to achieve win-win results in economic growth and CO2 emission mitigation, and these policies and actions will also provide experiences for many other developing countries. On the other hand, China will continue to play a positive and constructive leading role in the implementation of the Paris Agreement internationally, and promote the construction of new mechanisms of win-win cooperation, fairness and justice and common development for global climate governance. Moreover, China will make an effort to build a community of common destiny for mankind, promote pragmatic cooperation among countries, especially among developing countries, and take combating climate change as a new development opportunity for jointly moving toward climate-friendly low-carbon economic development path.

Keywords： climate change     the Paris Agreement     energy revolution     NDC (national determined contribution) goals    

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Influence of advanced engineering measures on displacement and stress field of surrounding rock in tunnels

Frontiers of Structural and Civil Engineering doi: 10.1007/s11709-023-0966-x

Abstract: Based on significant improvements in engineering materials, three advanced engineering measures haveMoreover, single- or multiple-joint advanced engineering measures form the local rock mass-anti-faultAmong the three advanced engineering measures, the anchor cable was the core of the three advanced engineeringmeasures.An anchor cable, combined with other LRAF measures, can form an artificial safety island at the cross-fault

Keywords： anti-fault effect     engineering measures     LRAF method     stress and displacement field     tunnel-crossing    

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Cyber–Physical Power System (CPPS): A review on measures and optimization methods of system resilience

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 503-518 doi: 10.1007/s42524-021-0163-3

Abstract: Then, a review of representative quantitative assessment measures of CPPS resilience applied in the existingOn the basis of these assessment measures, the optimization methods of CPPS resilience are reviewed from

Keywords： Cyber–Physical Power System     resilience assessment     resilience optimization     cascading failure modeling    

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Title Author Date Type Operation

Static-based early-damage detection using symbolic data analysis and unsupervised learning methods

João Pedro SANTOS,Christian CREMONA,André D. ORCESI,Paulo SILVEIRA,Luis CALADO

Journal Article

Bridging the gap: Neuro-Symbolic Computing for advanced AI applications in construction

Journal Article

Efficiency of scalar and vector intensity measures for seismic slope displacements

Gang WANG

Journal Article

Optimization design of anti-seismic engineering measures for intake tower based on non-dominated sorting

Journal Article

Unnormalized and normalized forms of gefura measures in directed and undirected networks

Raf GUNS,Ronald ROUSSEAU

Journal Article

Automated optimization technique of CMOS analog cell circuit based on symbolic analysis

Zheng Weishan,Deng Qing,Liu Zhaoxia,Shi Longxing

Journal Article

Improvement to observability measures of LFO modes in power systems with DFIGs

Shenghu LI

Journal Article

Symbolic representation based on trend features for knowledge discovery in long time series

Hong YIN,Shu-qiang YANG,Xiao-qian ZHU,Shao-dong MA,Lu-min ZHANG

Journal Article

New Challenges, New Opportunities and New Measures for Oil and Gas Cooperation in the Belt and Road

Yu-pu Wang,He Liu

Journal Article

Modified condition/decision coverage (MC/DC) oriented compiler optimization for symbolic execution

Wei-jiang Hong, Yi-jun Liu, Zhen-bang Chen, Wei Dong, Ji Wang,zbchen@nudt.edu.cn,wdong@nudt.edu.cn,wj@nudt.edu.cn

Journal Article

Implement and Innovate Environmental Protection Measures, Promote Green Protection of Cultural Relics

Fu-qing Liang,Yong-ping Sun

Journal Article

The Development Situation, Future and Counter Measures of Remanufacturing Industry in China

Wen-qiang Liu,Jun-yuan Mo,Cheng-kui Gu

Journal Article

Situation and measures of China’s CO

Jiankun HE

Journal Article

Influence of advanced engineering measures on displacement and stress field of surrounding rock in tunnels

Journal Article

Cyber–Physical Power System (CPPS): A review on measures and optimization methods of system resilience

Journal Article