Multi-Source data plays an important role in the evolution of media convergence.Its fusion processing enables the further mining of data and utilization of data value and broadens the path for the sharing and dissemin...Multi-Source data plays an important role in the evolution of media convergence.Its fusion processing enables the further mining of data and utilization of data value and broadens the path for the sharing and dissemination of media data.However,it also faces serious problems in terms of protecting user and data privacy.Many privacy protectionmethods have been proposed to solve the problemof privacy leakage during the process of data sharing,but they suffer fromtwo flaws:1)the lack of algorithmic frameworks for specific scenarios such as dynamic datasets in the media domain;2)the inability to solve the problem of the high computational complexity of ciphertext in multi-source data privacy protection,resulting in long encryption and decryption times.In this paper,we propose a multi-source data privacy protection method based on homomorphic encryption and blockchain technology,which solves the privacy protection problem ofmulti-source heterogeneous data in the dissemination ofmedia and reduces ciphertext processing time.We deployed the proposedmethod on theHyperledger platformfor testing and compared it with the privacy protection schemes based on k-anonymity and differential privacy.The experimental results showthat the key generation,encryption,and decryption times of the proposedmethod are lower than those in data privacy protection methods based on k-anonymity technology and differential privacy technology.This significantly reduces the processing time ofmulti-source data,which gives it potential for use in many applications.展开更多
In China, a number of power plants are installed with large imported FGD equipment. As from 1990s, China has built several demonstration projects with wet limestone-gypsum, simplified wet limestonegypsum, spray semi-d...In China, a number of power plants are installed with large imported FGD equipment. As from 1990s, China has built several demonstration projects with wet limestone-gypsum, simplified wet limestonegypsum, spray semi-drying, seawater, LIFAC and EBA processes along with vigorous introduction of foreign FGD equipment and technologies. As seen by FGD projects being under invitation for bid, large-sized units will generally be fitted with limestone-gypsum FGD equipment. Although theefficiency of FGD equipment is being raised rapidly, especially that of limestone/gypsum FGD equipment can reach 90%, such a technology has much room for improvement. In the coming ten years, China should exert itself to institute design and construction specification and standards, improve operation and maintenance techniques and develop new materials, etc.展开更多
This study evaluated the impacts of food safety policies on Japan's Simultaneous Buy and Sell rice imports through measuring tariff equivalents of food safety policies.In order to construct an estimated model,a Ja...This study evaluated the impacts of food safety policies on Japan's Simultaneous Buy and Sell rice imports through measuring tariff equivalents of food safety policies.In order to construct an estimated model,a Japanese consumer's utility function is introduced and developed with consumer's preference parameters and elasticity of substitution.In the empirical study part,Japan's positive list system and rice traceability were analyzed and assessed as critical food safety policies.Results showed that after the implementation of the positive list system,consumers'preference for foreign rice and the substitution elasticity diminished.This decreasing tendency was quite similar to the results after the enforcement of rice traceability.The tariff equivalents of food safety policies on imported rice fluctuated around ¥50 yen/kg from fiscal year 2000 to 2005 and decreased because of the global grain price hike after 2006.The tariff equivalents soared in 2010,which was induced by the traceability regulation,and then dulled during Japan's earthquake and tsunami in 2011.Subsequently,after the recovery from natural disasters,the tariff equivalents of food safety policies became higher.Therefore,food safety policies had made imported rice less attractive,weakened the competitive power of rice exporting countries,and had statistically significant impacts on Japan's rice importation.展开更多
Currently,most enterprises have adopted information software and digital equipment and gradually established digital factories.They conduct enterprise data collection and decision-support activities,generating large v...Currently,most enterprises have adopted information software and digital equipment and gradually established digital factories.They conduct enterprise data collection and decision-support activities,generating large volumes of multi-source heterogeneous data across all stages of the product life cycle.However,current data utilization methods remain simplistic,and the goal of leveraging multi-source heterogeneous data to drive manufacturing value has yet to be fully realized.To address this issue,this study first defines the concept and characteristics of multi-source heterogeneous data in intelligent manufacturing,based on an analysis of its relationship with industrial big data.Then,integrating principles from data science,a technological framework for multi-source heterogeneous data is proposed.The key technologies involved in each stage of data processing are investigated,and typical applications of such data in intelligent manufacturing are discussed.Finally,this paper analyzes the challenges and future development directions of multi-source heterogeneous data processing in intelligent manufacturing.The goal is to provide theoretical and technical support for integrating intelligent manufacturing with data science.展开更多
无人车单一传感器同步定位与地图构建(simultaneous localization and mapping,SLAM)算法鲁棒性较差,现有多传感器融合方案则较少考虑车辆运动约束,导致横向定位漂移。为此,提出一种基于ORB-SLAM的视觉-惯性-车轮紧耦合优化方法,将三者...无人车单一传感器同步定位与地图构建(simultaneous localization and mapping,SLAM)算法鲁棒性较差,现有多传感器融合方案则较少考虑车辆运动约束,导致横向定位漂移。为此,提出一种基于ORB-SLAM的视觉-惯性-车轮紧耦合优化方法,将三者约束统一纳入后端的捆集优化(bundle adjustment,BA)。首先给出视觉里程计、惯性测量单元(inertial measurement unit,IMU)和基于阿克曼车辆模型的车轮里程计残差模型,然后建立基于ORB-SLAM的单目视觉-惯性-车轮融合的SLAM系统优化框架。在KAIST数据集和实际校园场景下的实验结果表明,与其他常用SLAM方法相比,本文改进算法有效减少了误差累积,定位与地图构建结果更稳健且精确。展开更多
As a product of the deep integration between next-generation information technology and industrial systems,digital twin technology has demonstrated significant advantages in real-time monitoring,predictive maintenance...As a product of the deep integration between next-generation information technology and industrial systems,digital twin technology has demonstrated significant advantages in real-time monitoring,predictive maintenance,and optimization decision-making for thermal power plants.To address challenges such as low equipment efficiency,high maintenance costs,and difficulties in safety risk management in traditional thermal power plants,this study developed a digital twin simulation system that covers the entire lifecycle of power generation units.The system achieves real-time collection and processing of critical parameters such as temperature,pressure,and flow rate through a collaborative architecture integrating multi-source heterogeneous sensor networks with Programmable Logic Controllers(PLCs).A three-tier processing framework handles data preprocessing,feature extraction,and intelligent analysis,while establishing a hybrid storage system combining time-series databases and relational databases to enable millisecond-level queries and data traceability.The simulation model development module employs modular design methodology,integrating multi-physics coupling algorithms including computational fluid dynamics(CFD)and thermal circulation equations.Automated parameter calibration is achieved through intelligent optimization algorithms,with model accuracy validated via unitlevel verification,system-level cascaded debugging tests,and virtual test platform simulations.Based on the modular layout strategy,the user interface and interaction module integrates 3D plant panoramic view,dynamic equipment model and multi-mode interaction channel,supports cross-terminal adaptation of PC,mobile terminal and control screen,and improves fault handling efficiency through AR assisted diagnosis function.展开更多
基金funded by the High-Quality and Cutting-Edge Discipline Construction Project for Universities in Beijing (Internet Information,Communication University of China).
文摘Multi-Source data plays an important role in the evolution of media convergence.Its fusion processing enables the further mining of data and utilization of data value and broadens the path for the sharing and dissemination of media data.However,it also faces serious problems in terms of protecting user and data privacy.Many privacy protectionmethods have been proposed to solve the problemof privacy leakage during the process of data sharing,but they suffer fromtwo flaws:1)the lack of algorithmic frameworks for specific scenarios such as dynamic datasets in the media domain;2)the inability to solve the problem of the high computational complexity of ciphertext in multi-source data privacy protection,resulting in long encryption and decryption times.In this paper,we propose a multi-source data privacy protection method based on homomorphic encryption and blockchain technology,which solves the privacy protection problem ofmulti-source heterogeneous data in the dissemination ofmedia and reduces ciphertext processing time.We deployed the proposedmethod on theHyperledger platformfor testing and compared it with the privacy protection schemes based on k-anonymity and differential privacy.The experimental results showthat the key generation,encryption,and decryption times of the proposedmethod are lower than those in data privacy protection methods based on k-anonymity technology and differential privacy technology.This significantly reduces the processing time ofmulti-source data,which gives it potential for use in many applications.
文摘In China, a number of power plants are installed with large imported FGD equipment. As from 1990s, China has built several demonstration projects with wet limestone-gypsum, simplified wet limestonegypsum, spray semi-drying, seawater, LIFAC and EBA processes along with vigorous introduction of foreign FGD equipment and technologies. As seen by FGD projects being under invitation for bid, large-sized units will generally be fitted with limestone-gypsum FGD equipment. Although theefficiency of FGD equipment is being raised rapidly, especially that of limestone/gypsum FGD equipment can reach 90%, such a technology has much room for improvement. In the coming ten years, China should exert itself to institute design and construction specification and standards, improve operation and maintenance techniques and develop new materials, etc.
基金This work was supported in part by the Fundamental Research Funds for the Central Universities,CUMT(Project No.2017WA02).
文摘This study evaluated the impacts of food safety policies on Japan's Simultaneous Buy and Sell rice imports through measuring tariff equivalents of food safety policies.In order to construct an estimated model,a Japanese consumer's utility function is introduced and developed with consumer's preference parameters and elasticity of substitution.In the empirical study part,Japan's positive list system and rice traceability were analyzed and assessed as critical food safety policies.Results showed that after the implementation of the positive list system,consumers'preference for foreign rice and the substitution elasticity diminished.This decreasing tendency was quite similar to the results after the enforcement of rice traceability.The tariff equivalents of food safety policies on imported rice fluctuated around ¥50 yen/kg from fiscal year 2000 to 2005 and decreased because of the global grain price hike after 2006.The tariff equivalents soared in 2010,which was induced by the traceability regulation,and then dulled during Japan's earthquake and tsunami in 2011.Subsequently,after the recovery from natural disasters,the tariff equivalents of food safety policies became higher.Therefore,food safety policies had made imported rice less attractive,weakened the competitive power of rice exporting countries,and had statistically significant impacts on Japan's rice importation.
基金funded by the National Natural Science Foundation of China,grant number 62172033.
文摘Currently,most enterprises have adopted information software and digital equipment and gradually established digital factories.They conduct enterprise data collection and decision-support activities,generating large volumes of multi-source heterogeneous data across all stages of the product life cycle.However,current data utilization methods remain simplistic,and the goal of leveraging multi-source heterogeneous data to drive manufacturing value has yet to be fully realized.To address this issue,this study first defines the concept and characteristics of multi-source heterogeneous data in intelligent manufacturing,based on an analysis of its relationship with industrial big data.Then,integrating principles from data science,a technological framework for multi-source heterogeneous data is proposed.The key technologies involved in each stage of data processing are investigated,and typical applications of such data in intelligent manufacturing are discussed.Finally,this paper analyzes the challenges and future development directions of multi-source heterogeneous data processing in intelligent manufacturing.The goal is to provide theoretical and technical support for integrating intelligent manufacturing with data science.
文摘As a product of the deep integration between next-generation information technology and industrial systems,digital twin technology has demonstrated significant advantages in real-time monitoring,predictive maintenance,and optimization decision-making for thermal power plants.To address challenges such as low equipment efficiency,high maintenance costs,and difficulties in safety risk management in traditional thermal power plants,this study developed a digital twin simulation system that covers the entire lifecycle of power generation units.The system achieves real-time collection and processing of critical parameters such as temperature,pressure,and flow rate through a collaborative architecture integrating multi-source heterogeneous sensor networks with Programmable Logic Controllers(PLCs).A three-tier processing framework handles data preprocessing,feature extraction,and intelligent analysis,while establishing a hybrid storage system combining time-series databases and relational databases to enable millisecond-level queries and data traceability.The simulation model development module employs modular design methodology,integrating multi-physics coupling algorithms including computational fluid dynamics(CFD)and thermal circulation equations.Automated parameter calibration is achieved through intelligent optimization algorithms,with model accuracy validated via unitlevel verification,system-level cascaded debugging tests,and virtual test platform simulations.Based on the modular layout strategy,the user interface and interaction module integrates 3D plant panoramic view,dynamic equipment model and multi-mode interaction channel,supports cross-terminal adaptation of PC,mobile terminal and control screen,and improves fault handling efficiency through AR assisted diagnosis function.
