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Short-term Ozone Exposure and Its Impact on Mortality Risk from Circulatory System Diseases:A Comparative Analysis Based on Multi-source Data 认领 引用
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作者 Chaodong Long Shunshun Zhang +4 位作者 Wenjing Su Mike ZHe Qinghua Sun Cheng Liu Tiantian Li 《Biomedical and Environmental Sciences》 SCIE CAS CSCD 2026年第5期501-511,共11页
Objective Ozone pollution significantly impacts public health;however,inconsistent exposure assessment data introduce uncertainty to health risk evaluations.The accurate assessment of health risks and disease burden i... Objective Ozone pollution significantly impacts public health;however,inconsistent exposure assessment data introduce uncertainty to health risk evaluations.The accurate assessment of health risks and disease burden is essential to protecting public health and formulating effective control strategies.Methods This study used a generalized linear model to compare health risks and disease burdens assessed using three ozone datasets(CNEMC,TAP,and USTC)based on circulatory system disease mortality data from 199 Chinese counties(2014–2018).Results The impact of ozone exposure on the risk of death from circulatory system diseases was most significant at lag03.In the CNEMC dataset,a 10μg/m3increase in O3-MAD8 was associated with a 0.14%(95%CI:0.01%—0.26%)increase in the risk of death.In contrast,the risk estimates for TAP and USTC were 0.26%(95%CI:0.10%—0.42%)and 0.23%(95%CI:0.09%—0.37%),respectively,indicating a difference of up to 46%.The estimated annual attributable deaths by TAP and USTC were 1.96 and 1.85 times higher than those in the CNEMC dataset,respectively.Conclusion Ozone exposure was associated with increased circulatory system disease mortality.Both risk estimates and attributable mortality burdens varied substantially across different datasets,thus highlighting that exposure data selection can materially influence health risk evaluation. 展开更多
关键词 Circulatory system diseases Mortality Ozone Monitoring data Simulated data
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Evaluation of the applicability of climate forecast system reanalysis weather data for hydrologic simulation: A case study in the Bahe River Basin of the Qinling Mountains, China 认领 引用 被引量：6
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作者 胡胜 邱海军 +5 位作者 杨冬冬 曹明明 宋进喜 吴江 黄晨璐 高宇 《Journal of Geographical Sciences》 SCIE CSCD 2017年第5期546-564,共19页
In recent years, global reanalysis weather data has been widely used in hydrological modeling around the world, but the results of simulations vary greatly. To consider the applicability of Climate Forecast System Rea... In recent years, global reanalysis weather data has been widely used in hydrological modeling around the world, but the results of simulations vary greatly. To consider the applicability of Climate Forecast System Reanalysis（CFSR） data in the hydrologic simulation of watersheds, the Bahe River Basin was used as a case study. Two types of weather data（conventional weather data and CFSR weather data） were considered to establish a Soil and Water Assessment Tool（SWAT） model, which was used to simulate runoff from 2001 to 2012 in the basin at annual and monthly scales. The effect of both datasets on the simulation was assessed using regression analysis, Nash-Sutcliffe Efficiency（NSE）, and Percent Bias（PBIAS）. A CFSR weather data correction method was proposed. The main results were as follows.（1） The CFSR climate data was applicable for hydrologic simulation in the Bahe River Basin（R^2 of the simulated results above 0.50, NSE above 0.33, and ｜PBIAS｜ below 14.8. Although the quality of the CFSR weather data is not perfect, it achieved a satisfactory hydrological simulation after rainfall data correction.（2） The simulated streamflow using the CFSR data was higher than the observed streamflow, which was likely because the estimation of daily rainfall data by CFSR weather data resulted in more rainy days and stronger rainfall intensity than was actually observed. Therefore, the data simulated a higher base flow and flood peak discharge in terms of the water balance, except for some individual years.（3） The relation between the CFSR rainfall data（x） and the observed rainfall data（y） could berepresented by a power exponent equation： y=1.4789x0.8875（R2=0.98,P〈0.001）. There was a slight variation between the fitted equations for each station. The equation provides a theoretical basis for the correction of CFSR rainfall data. 展开更多
关键词 CFSR weather data hydrologic simulation applicability evaluation SWAT model Bahe River Basin
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EFFICIENT STRIP-MODE SAR RAW SIGNAL SIMULATION OF MIXED TARGETS BASED ON ACCURATE 2-D SPECTRUM 认领 引用 被引量：3
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作者 Yang Liang Yu Weidong +1 位作者 Gao Yang Zhang Lei 《Journal of Electronics(China)》 2014年第1期8-15,共8页
An accurate and efficient Synthetic Aperture Radar(SAR)raw data generator is of considerable value for testing system parameters and verifying imaging algorithms.Nevertheless,the existing simulator cannot exactly hand... An accurate and efficient Synthetic Aperture Radar(SAR)raw data generator is of considerable value for testing system parameters and verifying imaging algorithms.Nevertheless,the existing simulator cannot exactly handle the case of the fast moving targets in high squint geometry.As for the issue,the analytical expression for the two Dimensional(2-D)signal spectrum of moving targets is derived and a fast raw echo simulation method is proposed in this study.The proposed simulator can accommodate the moving targets in the high squint geometry,whose processing steps of the simulation are given in detail and its computational complexity is analyzed.The simulation data for static and moving targets are processed and analyzed,and the results are given to validate the effectiveness of the proposed approach. 展开更多
关键词 Synthetic Aperture Radar(SAR) Raw data simulation Moving target Two Dimensional(2-D) spectrum
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Efficient Strip-Mode SAR Raw-Data Simulator of Extended Scenes Included Moving Targets Based on Reversion of Series 认领 引用
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作者 Liang Yang Daojian Zeng +1 位作者 Jianhua Yan Yaozhang Sai 《Computers, Materials & Continua》 SCIE EI 2020年第7期313-323,共11页
The Synthetic Aperture Radar(SAR)raw data generator is required to the evaluation of focusing algorithms,moving target analysis,and hardware design.The time-domain SAR simulator can generate the accurate raw data but ... The Synthetic Aperture Radar(SAR)raw data generator is required to the evaluation of focusing algorithms,moving target analysis,and hardware design.The time-domain SAR simulator can generate the accurate raw data but it needs much time.The frequency-domain simulator not only increases the efficiency but also considers the trajectory deviations of the radar.In addition,the raw signal of the extended scene included static and moving targets can be generated by some frequency-domain simulators.However,the existing simulators concentrate on the raw signal simulation of the static extended scene and moving targets at uniform speed mostly.As for the issue,the two-dimensional signal spectrum of moving targets with constant acceleration can be derived accurately based on the geometric model of a side-looking SAR and reversion of series.And a frequency-domain algorithm for SAR echo signal simulation is presented based on the two-dimensional signal spectrum.The raw data generated with proposed method is verified by several simulation experiments.In addition to reveal the efficiency of the presented frequency-domain SAR scene simulator,the computational complexity of the proposed method is compared with the time-domain approach using the complex multiplication.Numerical results demonstrate that the present method can reduce the computational time significantly without accuracy loss while simulating SAR raw data. 展开更多
关键词 Raw data simulation moving target reversion of series
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Quantifying the impact of dust retention on maize canopy spectral reflectance and vegetation indices in dust belt regions:A case study in southern Xinjiang,China 认领 引用
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作者 MA Baodong GAO Shuxian +2 位作者 KANG Ting CHE Defu SHU Yang 《Journal of Arid Land》 SCIE CAS CSCD 2026年第1期101-130,共30页
Sand dust belts span approximately one-fifth of the global land surface.In these regions,dust tends to settle on vegetation surfaces,altering the observed reflectance and affecting remote sensing detections.To enhance... Sand dust belts span approximately one-fifth of the global land surface.In these regions,dust tends to settle on vegetation surfaces,altering the observed reflectance and affecting remote sensing detections.To enhance the accuracy of maize growth monitoring in dust-affected regions,this study aims to quantify the effect of sand dust retention on maize during the tasseling stage in the Kashgar Prefecture,Xinjiang Uygur Autonomous Region,China,by analyzing changes in canopy reflectance and vegetation indices.First,field sampling was conducted to measure the key canopy structure parameters and dust retention levels of maize,and laboratory spectral measurements were performed on leaf spectral properties under gradient dust retention.The measured data were then used to drive the LargE-Scale remote sensing data and image Simulation framework(LESS)model for simulating realistic maize canopy spectra across different dust levels,with validation against Sentinel-2 imagery.Second,on the basis of the simulated and satellite-derived spectra,the dust resistance of 36 common vegetation indices was systematically evaluated,and new robust dust-resistant indices were developed.The results showed that compared with dust-free maize,the canopy reflectance of dust-retained maize followed an increase–decrease–increase pattern,with critical turning points at 735 and 1325 nm.The maximum reflectance difference of–0.11755(change rate:29.002%)occurred within the 735–1325 nm range at 24 g/m2dust retention,and the minimum reflectance difference of 0.04285(change rate:148.950%)was observed in the 350–735 nm range under the same dust retention level.Among the 36 vegetation indices,only the global environment monitoring index(GEMI)and the ratio of transformed chlorophyll absorption in reflectance index to optimized soil-adjusted vegetation index(TCARI/OSAVI)exhibited dust resistance,with GEMI being effective below 6 g/m2and TCARI/OSAVI remaining stable across all levels(average ratio:0.970).The newly developed indices in this study,(RE3–RE2)/(NIR–RE2),(RE3–RE2)/(RE4–RE2),and(NIR–RE2)/(RE4–RE2),retained values within the predefined dust-resistant range over the full dust retention levels of 0–24 g/m2,thus showing a more stable dust resistance compared with the commonly used 36 vegetation indices.Specially,(RE3–RE2)/(RE4–RE2)performed the most robustly in Sentinel-2 imagery,that is,58.020%of pixels were within the dust-resistant range,and an average ratio of 0.937 was obtained for the original-spectra index.This study provides a scientific basis for crop monitoring and management in dust-affected regions. 展开更多
关键词 sand dust retention canopy spectral reflectance LargE-Scale remote sensing data and image Simulation framework(LESS)model dust-resistant vegetation indices tasseling-stage maize Sentinel-2 imagery
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An integrated virtual geographic environmental simulation framework:a case study of flood disaster simulation 认领 引用 被引量：10
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作者 Yulin DING Qing ZHU Hui LIN 《Geo-Spatial Information Science》 EI 2014年第4期190-200,共11页
Dynamic flood disaster simulation is an emerging and promising technology significantly useful in urban planning,risk assessment,and integrated decision support systems.It is still an important issue to integrate the ... Dynamic flood disaster simulation is an emerging and promising technology significantly useful in urban planning,risk assessment,and integrated decision support systems.It is still an important issue to integrate the large assets such as dynamic observational data,numerical flood simulation models,geographic information technologies,and computing resources into a unified framework.For the intended end user,it is also a holistic solution to create computer interpretable representations and gain insightful understanding of the dynamic disaster processes,the complex impacts,and interactions of disaster factors.In particular,it is still difficult to access and join harmonized data,processing algorithms,and models that are provided by different environmental information infrastructures.In this paper,we demonstrate a virtual geographic environments-based integrated environmental simulation framework for flood disaster management based on the notion of interlinked resources,which is capable of automated accumulating and manipulating of sensor data,creating dynamic geo-analysis and three-dimensional visualizations of ongoing geo-process,and updating the contents of simulation models representing the real environment.The prototype system is evaluated by applying it as a proof of concept to integrate in situ weather observations,numerical weather and flood disaster simulation models,visualization,and analysis of the real time flood event.Case applications indicate that the developed framework can be adopted for use by decision-makers for short-term planning and control since the resulting simulation and visualization are completely based on the latest status of environment. 展开更多
关键词 flood virtual geographic environments(VGE) dynamic data driven active simulation geo-model and geo-data integration
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CORRECTION OF ASYMMETRIC STRENGTHENING OF QUIKSCAT WIND FIELD AND ASSIMILATION APPLICATION IN TYPHOON SIMULATION 认领 引用 被引量：4
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作者 王亮 陆汉城 +1 位作者 潘晓滨 张云 《Journal of Tropical Meteorology》 SCIE 2009年第1期78-82,共5页
As an approach to the technological problem that the wind data of QuikSCAT scatterometer cannot accurately describe the zone of typhoon-level strong wind speed, some objective factors such as the typhoon moving speed,... As an approach to the technological problem that the wind data of QuikSCAT scatterometer cannot accurately describe the zone of typhoon-level strong wind speed, some objective factors such as the typhoon moving speed, direction and friction are introduced in this study to construct the asymmetric strengthening of the QuikSCAT wind field. Then by adopting a technology of four-dimensional data assimilation, an experiment that includes both the assimilation and forecasting phases is designed to simulate Typhoon Rananim numerically. The results show that with model constraints and adjustment, this technology can incorporate the QuikSCAT wind data to the entire column of the model atmosphere, improve greatly the simulating effects of the whole-column wind, pressure field and the track as well as the simulated typhoon intensity covered by the forecast phase, and work positively for the forecasting of landfall locations. 展开更多
关键词 Numerical simulation typhoon forecast data assimilation QuikSCAT wind field asymmetric bogus model
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NUMERICAL SIMULATION OF IMPACT RESPONSE OF COMPOSED CERAMIC/COMPOSITE ARMOUR 认领 引用
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作者 Gong Yaonan Qian Chun ZhangZuoguangBeijing,China,100083 《Chinese Journal of Aeronautics》 CAS 1995年第2期104-110,共7页
NUMERICALSIMULATIONOFIMPACTRESPONSEOFCOMPOSEDCERAMIC／COMPOSITEARMOURNUMERICALSIMULATIONOFIMPACTRESPONSEOFCOMPOSEDCERAMIC／COMP...
关键词 armor ceramics composite materials data simulation contact loads
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A LiDAR Point Clouds Dataset of Ships in a Maritime Environment 认领 引用 被引量：3
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作者 Qiuyu Zhang Lipeng Wang +2 位作者 Hao Meng Wen Zhang Genghua Huang 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2024年第7期1681-1694,共14页
For the first time, this article introduces a LiDAR Point Clouds Dataset of Ships composed of both collected and simulated data to address the scarcity of LiDAR data in maritime applications. The collected data are ac... For the first time, this article introduces a LiDAR Point Clouds Dataset of Ships composed of both collected and simulated data to address the scarcity of LiDAR data in maritime applications. The collected data are acquired using specialized maritime LiDAR sensors in both inland waterways and wide-open ocean environments. The simulated data is generated by placing a ship in the LiDAR coordinate system and scanning it with a redeveloped Blensor that emulates the operation of a LiDAR sensor equipped with various laser beams. Furthermore,we also render point clouds for foggy and rainy weather conditions. To describe a realistic shipping environment, a dynamic tail wave is modeled by iterating the wave elevation of each point in a time series. Finally, networks serving small objects are migrated to ship applications by feeding our dataset. The positive effect of simulated data is described in object detection experiments, and the negative impact of tail waves as noise is verified in single-object tracking experiments. The Dataset is available at http://gffzz188fe103f8f1460asoku9kf00nqpx666o.ffgz.tsg.suse.edu.cn/zqy411470859/ship_dataset. 展开更多
关键词 3D point clouds dataset dynamic tail wave fog simulation rainy simulation simulated data
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Sensitivity Study of the RegCM4’s Surface Schemes in the Simulations of West Africa Climate 认领 引用 被引量：1
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作者 Adjon Anderson Kouassi Brahima Kone +5 位作者 Siélé Silue Alima Dajuma Toure E. N’datchoh Marcellin Adon Arona Diedhiou Véronique Yoboue 《Atmospheric and Climate Sciences》 2022年第1期86-104,共19页
Two simulations of five years (2003-2007) were conducted with the Regional Climate models RegCM4, one coupled with Land surface models BATS and the other with CLM4.5 over West Africa, where simulated air temperature a... Two simulations of five years (2003-2007) were conducted with the Regional Climate models RegCM4, one coupled with Land surface models BATS and the other with CLM4.5 over West Africa, where simulated air temperature and precipitation were analyzed. The purpose of this study is to assess the performance of RegCM4 coupled with the new CLM4.5 Land surface scheme and the standard one named BATS in order to find the best configuration of RegCM4 over West African. This study could improve our understanding of the sensitivity of land surface model in West Africa climate simulation, and provide relevant information to RegCM4 users. The results show fairly realistic restitution of West Africa’s climatology and indicate correlations of 0.60 to 0.82 between the simulated fields (BATS and CLM4.5) for precipitation. The substitution of BATS surface scheme by CLM4.5 in the model configuration, leads mainly to an improvement of precipitation over the Atlantic Ocean, however, the impact is not sufficiently noticeable over the continent. While the CLM4.5 experiment restores the seasonal cycles and spatial distribution, the biases increase for precipitation and temperature. Positive biases already existing with BATS are amplified over some sub-regions. This study concludes that temporal localization (seasonal effect), spatial distribution (grid points) and magnitude of precipitation and temperature (bias) are not simultaneously improved by CLM4.5. The introduction of the new land surface scheme CLM4.5, therefore, leads to a performance of the same order as that of BATS, albeit with a more detailed formulation. 展开更多
关键词 Regional Climate Model Land Surface Scheme West Africa Climate RegCM Precipitation West African Monsoon Simulated Data
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HIET:Hybrid Information Enhancement Transformer Network for Single-Photon Image Reconstruction 认领 引用
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作者 Yiming Liu Xuri Yao +2 位作者 Tao Zhang Yifei Sun Ying Fu 《Journal of Beijing Institute of Technology》 EI CAS 2025年第1期1-17,共17页
Single-photon sensors are novel devices with extremely high single-photon sensitivity and temporal resolution.However,these advantages also make them highly susceptible to noise.Moreover,single-photon cameras face sev... Single-photon sensors are novel devices with extremely high single-photon sensitivity and temporal resolution.However,these advantages also make them highly susceptible to noise.Moreover,single-photon cameras face severe quantization as low as 1 bit/frame.These factors make it a daunting task to recover high-quality scene information from noisy single-photon data.Most current image reconstruction methods for single-photon data are mathematical approaches,which limits information utilization and algorithm performance.In this work,we propose a hybrid information enhancement model which can significantly enhance the efficiency of information utilization by leveraging attention mechanisms from both spatial and channel branches.Furthermore,we introduce a structural feature enhance module for the FFN of the transformer,which explicitly improves the model's ability to extract and enhance high-frequency structural information through two symmetric convolution branches.Additionally,we propose a single-photon data simulation pipeline based on RAW images to address the challenge of the lack of single-photon datasets.Experimental results show that the proposed method outperforms state-of-the-art methods in various noise levels and exhibits a more efficient capability for recovering high-frequency structures and extracting information. 展开更多
关键词 single-photon images hybrid information enhancement structual feature enhancement data simulation pipeline
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Generative Adversarial Network Based Status Generation Simulation Approach 认领 引用
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作者 Zhiru Chen Zhi Zhang +1 位作者 Xi Zhao Liang Guo 《国际计算机前沿大会会议论文集》 EI 2021年第1期246-255,共10页
The generative adversarial network based methods have beenapplied in many fields for simulation data generation. For power equipment,due to the combined influences of multiple factors, how to generatereasonable simula... The generative adversarial network based methods have beenapplied in many fields for simulation data generation. For power equipment,due to the combined influences of multiple factors, how to generatereasonable simulation data that meets specific requirements has becomea challenge. This paper proposes a power equipment status generationapproach based on generative confrontation network. This approach considersthe changing factors of power equipment and takes it as the conditionaldistribution of simulation data during training. The proposedapproach is applied to the status generation of power equipment, andthe rationality and effectiveness of the approach are verified throughexperiments. 展开更多
关键词 Generative adversarial network Simulation data Policy gradient
Study of M-estimator Variational Retrieval Using Simulated Feng Yun-3A Data 认领 引用
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作者 Wang Gen Wen Huayang +1 位作者 Qiu Kangjun Xie Wei 《Meteorological and Environmental Research》 2016年第3期1-6,共6页
This paper adopts satellite channel brightness temperature simulation to study M-estimator variational retrieval. This approach combines both the advantages of classical variational inversion and robust M-estimators. ... This paper adopts satellite channel brightness temperature simulation to study M-estimator variational retrieval. This approach combines both the advantages of classical variational inversion and robust M-estimators. Classical variational inversion depends on prior quality control to elim- inate outliers, and its errors follow a Gaussian distribution. We coupled the M-estimators to the framework of classical variational inversion to obtain a M-estimator variational inversion. The cost function contains the M-estimator to guarantee the robustness to outliers and improve the retrieval re- sults. The experimental evaluation adopts Feng Yun-3A （FY-3A） simulated data to add to the Gaussian and Non-Gaussian error. The variational in- version is used to obtain the inversion brightness temperature, and temperature and humidity data are used for validation. The preliminary results demonstrate the potential of M-estimator variational retrieval. 展开更多
关键词 Non-Gaussian M-estimator Variational retrieval Re-estimated contribution rate FY-3A simulated data
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VALUE ORIENTATIONS AND INSTITUTIONAL CONSTRUCTION OF ARTIFICIAL INTELLIGENCE SYNTHETIC DATA GOVERNANCE IN CHINA 认领 引用
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作者 Zhang Zesong 《China Legal Science》 2026年第4期56-84,共29页
As an innovative solution,synthetic data provides a secure and efficient alternative data source for AI training by algorithmically simulating real data's statistical characteristics and distribution patterns.It r... As an innovative solution,synthetic data provides a secure and efficient alternative data source for AI training by algorithmically simulating real data's statistical characteristics and distribution patterns.It reduces data collection costs,mitigates privacy leakage risks,and resolves copyright issues,gradually becoming a key driver of AI development.However,widespread use also brings complex governance challenges.During generation and use,sensitive personal information may leak,and the opacity of the process may exacerbate the algorithmic'black box problem,making decisions difficult to trace and explain.Meanwhile,large technology enterprises,leveraging first-mover advantages in data and technology,may further consolidate market dominance through synthetic data,triggering new forms of data monopoly.Low-quality or biased synthetic data may also cause models to disconnect from reality,leading to algorithmic discrimination or even system collapse.Facing these challenges,China urgently needs a governance system adapted to synthetic data.Future governance should take standardization,transparency,socialization,and high quality as core values,guiding institutional design that balances innovation and risk prevention by enhancing privacy protection,breaking algorithmic'black boxes',preventing data monopolies,and avoiding data distortion.On this basis,synthetic data can be incorporated into data protection law frameworks with more relaxed standards,while relying on compliance audits open-source software,and quality control to build a forward-looking governance system with Chinese characteristics. 展开更多
关键词 governance privacy protection algorithmic transparency data source synthetic data data monopoly quality control algorithmically simulating real datas
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Development of Spectral Features for Monitoring Rice Bacterial Leaf Blight Disease Using Broad-Band Remote Sensing Systems 认领 引用
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作者 Jingcheng Zhang Xingjian Zhou +3 位作者 Dong Shen Qimeng Yu Lin Yuan Yingying Dong 《Phyton-International Journal of Experimental Botany》 SCIE 2024年第4期745-762,共18页
As an important rice disease, rice bacterial leaf blight (RBLB, caused by the bacterium Xanthomonas oryzae pv.oryzae), has become widespread in east China in recent years. Significant losses in rice yield occurred as ... As an important rice disease, rice bacterial leaf blight (RBLB, caused by the bacterium Xanthomonas oryzae pv.oryzae), has become widespread in east China in recent years. Significant losses in rice yield occurred as a result ofthe disease’s epidemic, making it imperative to monitor RBLB at a large scale. With the development of remotesensing technology, the broad-band sensors equipped with red-edge channels over multiple spatial resolutionsoffer numerous available data for large-scale monitoring of rice diseases. However, RBLB is characterized by rapiddispersal under suitable conditions, making it difficult to track the disease at a regional scale with a single sensorin practice. Therefore, it is necessary to identify or construct features that are effective across different sensors formonitoring RBLB. To achieve this goal, the spectral response of RBLB was first analyzed based on the canopyhyperspectral data. Using the relative spectral response (RSR) functions of four representative satellite or UAVsensors (i.e., Sentinel-2, GF-6, Planet, and Rededge-M) and the hyperspectral data, the corresponding broad-bandspectral data was simulated. According to a thorough band combination and sensitivity analysis, two novel spectralindices for monitoring RBLB that can be effective across multiple sensors (i.e., RBBRI and RBBDI) weredeveloped. An optimal feature set that includes the two novel indices and a classical vegetation index was formed.The capability of such a feature set in monitoring RBLB was assessed via FLDA and SVM algorithms. The resultdemonstrated that both constructed novel indices exhibited high sensitivity to the disease across multiple sensors.Meanwhile, the feature set yielded an overall accuracy above 90% for all sensors, which indicates its cross-sensorgenerality in monitoring RBLB. The outcome of this research permits disease monitoring with different remotesensing data over a large scale. 展开更多
关键词 Rice bacterial leaf blight analysis of spectral response multispectral data simulation vegetation indices cross-sensor disease monitoring
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High-Speed EMU TCMS Design and LCC Technology Research 认领 引用 被引量：4
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作者 Hongwei Zhao Zhiping Huang Ying Mei 《Engineering》 SCIE EI CAS 2017年第1期122-129,共8页
This paper introduces the high-speed electrical multiple unit （EMO） life cycle, including the design, manufacturing, testing, and maintenance stages. It also presents the train control and monitoring system （TCMS）... This paper introduces the high-speed electrical multiple unit （EMO） life cycle, including the design, manufacturing, testing, and maintenance stages. It also presents the train control and monitoring system （TCMS） software development platform, the TCMS testing and verification bench, the EMU driving simulation platform, and the EMU remote data transmittal and maintenance platform. All these platforms and benches combined together make up the EMU life cycle cost （LCC） system. Each platform facilitates EMU LCC management and is an important part of the system. 展开更多
关键词 Electrical multiple unit Train control and monitoring system Train communication network Life cycle cost Development platform Testing bench Simulation Remote data transmittal
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Performance Anomaly Detection in Web Services: An RNN-Based Approach Using Dynamic Quality of Service Features 认领 引用
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作者 Muhammad Hasnain Seung Ryul Jeong +1 位作者 Muhammad Fermi Pasha Imran Ghani 《Computers, Materials & Continua》 SCIE EI 2020年第8期729-752,共24页
Performance anomaly detection is the process of identifying occurrences that do not conform to expected behavior or correlate with other incidents or events in time series data.Anomaly detection has been applied to ar... Performance anomaly detection is the process of identifying occurrences that do not conform to expected behavior or correlate with other incidents or events in time series data.Anomaly detection has been applied to areas such as fraud detection,intrusion detection systems,and network systems.In this paper,we propose an anomaly detection framework that uses dynamic features of quality of service that are collected in a simulated setup.Three variants of recurrent neural networks-SimpleRNN,long short term memory,and gated recurrent unit are evaluated.The results reveal that the proposed method effectively detects anomalies in web services with high accuracy.The performance of the proposed anomaly detection framework is superior to that of existing approaches using maximum accuracy and detection rate metrics. 展开更多
关键词 Point anomaly anomaly detection recurrent neural networks web services simulated data
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A Survey of Multi-Space Techniques in Spatio-Temporal Simulation Data Visualization 认领 引用
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作者 Xueyi Chen Liming Shen +4 位作者 Ziqi Sha Richen Liu Siming Chen Genlin Ji Chao Tan 《Visual Informatics》 EI 2019年第3期129-139,共11页
The widespread use of numerical simulations in different scientific domains provides a variety of research opportunities.They often output a great deal of spatio-temporal simulation data,which are traditionally charac... The widespread use of numerical simulations in different scientific domains provides a variety of research opportunities.They often output a great deal of spatio-temporal simulation data,which are traditionally characterized as single-run,multi-run,multi-variate,multi-modal and multi-dimensional.From the perspective of data exploration and analysis,we noticed that many works focusing on spatiotemporal simulation data often share similar exploration techniques,for example,the exploration schemes designed in simulation space,parameter space,feature space and combinations of them.However,it lacks a survey to have a systematic overview of the essential commonalities shared by those works.In this survey,we take a novel multi-space perspective to categorize the state-ofthe-art works into three major categories.Specifically,the works are characterized as using similar techniques such as visual designs in simulation space(e.g,visual mapping,boxplot-based visual summarization,etc.),parameter space analysis(e.g,visual steering,parameter space projection,etc.)and data processing in feature space(e.g,feature definition and extraction,sampling,reduction and clustering of simulation data,etc.). 展开更多
关键词 Simulation data visualization Spatio-temporal data visualization Comparative visualization
Autoencoder for parameter estimation and current-voltage curve simulation of perovskite solar cells 认领 引用
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作者 Oliver Zbinden Ennio Luigi Comi +1 位作者 Evelyne Knapp Wolfgang Tress 《npj Computational Materials》 SCIE EI CSCD 2025年第1期4120-4126,共7页
In perovskite solar cells(PSCs),key quantities crucial for understanding physical processes,like electronic/ionic parameters,are difficult or impossible to measure directly.This study uses Autoencoders(AEs)to provide ... In perovskite solar cells(PSCs),key quantities crucial for understanding physical processes,like electronic/ionic parameters,are difficult or impossible to measure directly.This study uses Autoencoders(AEs)to provide parameter values for different physical quantities of PSCs.The data set used forMachine Learning(ML)is simulated with a 1D drift-diffusion(DD)model,mimicking real-world devices.AEs are trained with the simulated data and,after learning,the encoder part of the AE is used for parameter estimation of measured PSCs.These estimates are retaken for new DD simulations that are compared to the measurements for validation,since the true device parameters are unknown.Furthermore,the decoder can be regarded as a device simulator restricted to the training data regime.The results show that AEs obtain device parameter estimates within seconds for the studied PSC devices.This procedure is applicable to gain a deeper understanding of device behaviour,for example,to study effects of degradation or different manufacturing processes. 展开更多
关键词 autoencoders perovskite solar cells perovskite solar cells pscs key parameter estimation simulated data parameter estimation o current voltage curve simulation encoder part
Polymer design for solvent separations by integrating simulations,experiments and known physics via machine learning 认领 引用
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作者 Janhavi Nistane Rohan Datta +4 位作者 Young Joo Lee Harikrishna Sahu Seung Soon Jang Ryan Lively Rampi Ramprasad 《npj Computational Materials》 SCIE EI CSCD 2025年第1期2016-2027,共12页
This study guides the discovery of sustainable high-performance polymer membranes for organic binary solvent separations.We focus on solvent diffusivity in polymers,a key factor in quantifying solvent transport.Tradit... This study guides the discovery of sustainable high-performance polymer membranes for organic binary solvent separations.We focus on solvent diffusivity in polymers,a key factor in quantifying solvent transport.Traditional experimental and computational methods for determining diffusivity are time-and resource-intensive,while current machine learning(ML)models often lack accuracy outside their training domains.To overcome this,we fuse experimental and simulated diffusivity data to train physics-enforced multi-task ML models,achieving more robust predictions in unseen chemical spaces and outperforming single-task models in data-limited scenarios.Next,we address the challenge of identifying optimal membranes for a model toluene-heptane separation,identifying polyvinyl chloride(PVC)as the optimal membrane among 13,000 polymers,consistent with literature findings,thereby validating our methodology.Expanding our search,we screen 1 million publicly available and 7 million chemically recyclable polymers,identifying greener halogen-free alternatives to PVC.This capability is expected to advance membrane design for solvent separations. 展开更多
关键词 machine learning ml models machine learning multi task models organic binary solvent separationswe diffusivity solvent separations fuse experimental simulated diffusivity data experimental computational methods
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