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Data Transfer Over the Internet for Real Time Applications 认领 引用 被引量：7
1
作者 Roger Knott 《International Journal of Automation and computing》 2006年第4期414-424,共11页
Efficient real time data exchange over the Internet plays a crucial role in the successful application of web-based systems. In this paper, a data transfer mechanism over the Internet is proposed for real time web bas... Efficient real time data exchange over the Internet plays a crucial role in the successful application of web-based systems. In this paper, a data transfer mechanism over the Internet is proposed for real time web based applications. The mechanism incorporates the eXtensible Markup Language （XML） and Hierarchical Data Format （HDF） to provide a flexible and efficient data format. Heterogeneous transfer data is classified into light and heavy data, which are stored using XML and HDF respectively; the HDF data format is then mapped to Java Document Object Model （JDOM） objects in XML in the Java environment. These JDOM data objects are sent across computer networks with the support of the Java Remote Method Invocation （RMI） data transfer infrastructure. Client＇s defined data priority levels are implemented in RMI, which guides a server to transfer data objects at different priorities. A remote monitoring system for an industrial reactor process simulator is used as a case study to illustrate the proposed data transfer mechanism. 展开更多
关键词 eXtensible Markup Language （XML） Hierarchical Data Format （HDF） Remote Method Invocation （RMI）,data transfer web based application and real time
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Ground data transfer research in AMS-02 认领 引用
2
作者 吴桦 龚俭 周渔 《Journal of Southeast University(English Edition)》 EI CAS 2006年第1期43-47,共5页
To increase the performance of bulk data transfer mission with ultra-long TCP （ transmission control protocol） connection in high-energy physics experiments, a series of experiments were conducted to explore the way... To increase the performance of bulk data transfer mission with ultra-long TCP （ transmission control protocol） connection in high-energy physics experiments, a series of experiments were conducted to explore the way to enhance the transmission efficiency. This paper introduces the overall structure of RC@ SEU （ regional center @ Southeast University） in AMS （alpha magnetic spectrometer）-02 ground data transfer system as well as the experiments conducted in CERNET （China Education and Research Network）/CERNET2 and global academic Internet. The effects of the number of parallel streams and TCP buffer size are tested. The test confirms that in the current circumstance of CERNET, to find the fight number of parallel TCP connections is the main method to improve the throughput. TCP buffer size tuning has little effect now, but may have good effects when the available bandwidth becomes higher. 展开更多
关键词 bulk data transfer performance TCP buffer size parallel stream IPv6
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Design and FPGA verification of a novel reliable real-time data transfer system 认领 引用 被引量：4
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作者 Yu-ping LIAN Yan HAN +2 位作者 Ming-xu HUO Jin-long CHEN Yan ZHANG 《Journal of Zhejiang University-SCIENCE A》 SCIE EI CAS 2008年第10期1406-1410,共5页
Considering the increasing use of information technology with established standards, such as TCP/IP and XML in modem industrial automation, we present a high cost performance solution with FPGA （field programmable ga... Considering the increasing use of information technology with established standards, such as TCP/IP and XML in modem industrial automation, we present a high cost performance solution with FPGA （field programmable gate array） implementation of a novel reliable real-time data transfer system based on EPA （Ethemet for plant automation） protocol and IEEE 1588 standard. This combination can provide more predictable and real-time communication between automation equipments and precise synchronization between devices. The designed EPA system has been verified on Xilinx Spartan3 XC3S1500 and it consumed 75% of the total slices. The experimental results show that the novel industrial control system achieves high synchronization precision and provides a 1.59-ps standard deviation between the master device and the slave ones. Such a real-time data transfer system is an excellent candidate for automation equipments which require precise synchronization based on Ethemet at a comparatively low price. 展开更多
关键词 Ethemet for plant automation （EPA） IEEE 1588 Precise synchronization Real-time data transfer
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Patch-type capacitive micromachined ultrasonic transducer for ultrasonic power and data transfer 认领 引用 被引量：2
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作者 Chaerin Oh Young-Min Kim +5 位作者 Taemin Lee Sang-Mok Lee Joontaek Jung Hyeon-Min Bae Chul Kim Hyunjoo J.Lee 《Microsystems & Nanoengineering》 SCIE EI CSCD 2025年第3期577-588,共12页
Ultrasonic power and data transfer is a promising technology for implantable medical devices because of its non-invasiveness,deep penetration depth,and potential for a high-power transmission rate with a low specific ... Ultrasonic power and data transfer is a promising technology for implantable medical devices because of its non-invasiveness,deep penetration depth,and potential for a high-power transmission rate with a low specific absorption rate.However,ultrasound-powered implantable devices still suffer from low power transfer efficiency due to beam misalignment and are limited to short-term use due to the bulkiness of the transmitting transducers.Here,we report the first proof of concept for adaptive positioning and targeting of ultrasound-based implantable devices through ultrasound image guidance.A lightweight patch-type ultrasonic transducer array is fabricated to enable ultrasound imaging and beam-forming during long-term operation.The uniform performance of the array is established through the silicon micromachining process.We demonstrate the complete scheme of imaging,positioning,and targeted power transfer in an ex vivo environment,achieving precise targeting of moving implanted devices through real-time ultrasound imaging.Enhanced power transfer efficiency through the use of patch-type ultrasonic transducers can enhance patient comfort and minimize invasive procedures,opening new applications for ultrasonic-powered implantable devices. 展开更多
关键词 implantable devices ultrasonic power transfer ultrasonic power data transfer beam forming patch type capacitive micromachined ultrasonic transducer beam misalignment implantable medical devices ultrasonic data transfer
Performance Analysis and Optimization of Energy Harvesting Modulation for Multi-User Integrated Data and Energy Transfer 认领 引用 被引量：1
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作者 Yizhe Zhao Yanliang Wu +1 位作者 Jie Hu Kun Yang 《China Communications》 SCIE CSCD 2024年第1期148-162,共15页
Integrated data and energy transfer(IDET)enables the electromagnetic waves to transmit wireless energy at the same time of data delivery for lowpower devices.In this paper,an energy harvesting modulation(EHM)assisted ... Integrated data and energy transfer(IDET)enables the electromagnetic waves to transmit wireless energy at the same time of data delivery for lowpower devices.In this paper,an energy harvesting modulation(EHM)assisted multi-user IDET system is studied,where all the received signals at the users are exploited for energy harvesting without the degradation of wireless data transfer(WDT)performance.The joint IDET performance is then analysed theoretically by conceiving a practical time-dependent wireless channel.With the aid of the AO based algorithm,the average effective data rate among users are maximized by ensuring the BER and the wireless energy transfer(WET)performance.Simulation results validate and evaluate the IDET performance of the EHM assisted system,which also demonstrates that the optimal number of user clusters and IDET time slots should be allocated,in order to improve the WET and WDT performance. 展开更多
关键词 energy harvesting modulation(EHM) integrated data and energy transfer(IDET) performance analysis wireless data transfer(WDT) wireless energy transfer(WET)
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Accelerating Data Transfer in Dataflow Architectures Through a Look-Ahead Acknowledgment Mechanism 认领 引用
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作者 Yu-Jing Feng De-Jian Li +6 位作者 Xu Tan Xiao-Chun Ye Dong-Rui Fan Wen-Ming Li Da Wang Hao Zhang Zhi-Min Tang 《Journal of Computer Science & Technology》 SCIE EI CSCD 2022年第4期942-959,共18页
The dataflow architecture,which is characterized by a lack of a redundant unified control logic,has been shown to have an advantage over the control-flow architecture as it improves the computational performance and p... The dataflow architecture,which is characterized by a lack of a redundant unified control logic,has been shown to have an advantage over the control-flow architecture as it improves the computational performance and power efficiency,especially of applications used in high-performance computing(HPC).Importantly,the high computational efficiency of systems using the dataflow architecture is achieved by allowing program kernels to be activated in a simultaneous manner.Therefore,a proper acknowledgment mechanism is required to distinguish the data that logically belongs to different contexts.Possible solutions include the tagged-token matching mechanism in which the data is sent before acknowledgments are received but retried after rejection,or a handshake mechanism in which the data is only sent after acknowledgments are received.However,these mechanisms are characterized by both inefficient data transfer and increased area cost.Good performance of the dataflow architecture depends on the efficiency of data transfer.In order to optimize the efficiency of data transfer in existing dataflow architectures with a minimal increase in area and power cost,we propose a Look-Ahead Acknowledgment(LAA)mechanism.LAA accelerates the execution flow by speculatively acknowledging ahead without penalties.Our simulation analysis based on a handshake mechanism shows that our LAA increases the average utilization of computational units by 23.9%,with a reduction in the average execution time by 17.4%and an increase in the average power efficiency of dataflow processors by 22.4%.Crucially,our novel approach results in a relatively small increase in the area and power consumption of the on-chip logic of less than 0.9%.In conclusion,the evaluation results suggest that Look-Ahead Acknowledgment is an effective improvement for data transfer in existing dataflow architectures. 展开更多
关键词 dataflow model control-flow model high-performance computing application data transfer power efficiency
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Multi-Sinusoidal Waveform Shaping for Integrated Data and Energy Transfer in Aging Channels 认领 引用 被引量：2
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作者 Jie Hu Yaping Hou Kun Yang 《China Communications》 SCIE CSCD 2023年第4期243-258,共16页
Integrated data and energy transfer(IDET)is capable of simultaneously delivering on-demand data and energy to low-power Internet of Everything(Io E)devices.We propose a multi-carrier IDET transceiver relying on superp... Integrated data and energy transfer(IDET)is capable of simultaneously delivering on-demand data and energy to low-power Internet of Everything(Io E)devices.We propose a multi-carrier IDET transceiver relying on superposition waveforms consisting of multi-sinusoidal signals for wireless energy transfer(WET)and orthogonal-frequency-divisionmultiplexing(OFDM)signals for wireless data transfer(WDT).The outdated channel state information(CSI)in aging channels is employed by the transmitter to shape IDET waveforms.With the constraints of transmission power and WDT requirement,the amplitudes and phases of the IDET waveform at the transmitter and the power splitter at the receiver are jointly optimised for maximising the average directcurrent(DC)among a limited number of transmission frames with the existence of carrier-frequencyoffset(CFO).For the amplitude optimisation,the original non-convex problem can be transformed into a reversed geometric programming problem,then it can be effectively solved with existing tools.As for the phase optimisation,the artificial bee colony(ABC)algorithm is invoked in order to deal with the nonconvexity.Iteration between the amplitude optimisation and phase optimisation yields our joint design.Numerical results demonstrate the advantage of our joint design for the IDET waveform shaping with the existence of the CFO and the outdated CSI. 展开更多
关键词 integrated data and energy transfer(IDET) wireless energy transfer(WET) simultaneous wireless information and power transfer(SWIPT) carrier-frequency-offset(CFO) waveform aging channels outdated channel state information(CSI) orthogonal frequency division multiplexing(OFDM)
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Adjustable random linear network coding(ARLNC): A solution for data transmission in dynamic IoT computational environments 认领 引用
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作者 Raffi Dilanchian Ali Bohlooli Kamal Jamshidi 《Digital Communications and Networks》 SCIE EI CSCD 2025年第2期574-586,共13页
In mobile computing environments, most IoT devices connected to networks experience variable error rates and possess limited bandwidth. The conventional method of retransmitting lost information during transmission, c... In mobile computing environments, most IoT devices connected to networks experience variable error rates and possess limited bandwidth. The conventional method of retransmitting lost information during transmission, commonly used in data transmission protocols, increases transmission delay and consumes excessive bandwidth. To overcome this issue, forward error correction techniques, e.g., Random Linear Network Coding(RLNC) can be used in data transmission. The primary challenge in RLNC-based methodologies is sustaining a consistent coding ratio during data transmission, leading to notable bandwidth usage and transmission delay in dynamic network conditions. Therefore, this study proposes a new block-based RLNC strategy known as Adjustable RLNC(ARLNC), which dynamically adjusts the coding ratio and transmission window during runtime based on the estimated network error rate calculated via receiver feedback. The calculations in this approach are performed using a Galois field with the order of 256. Furthermore, we assessed ARLNC's performance by subjecting it to various error models such as Gilbert Elliott, exponential, and constant rates and compared it with the standard RLNC. The results show that dynamically adjusting the coding ratio and transmission window size based on network conditions significantly enhances network throughput and reduces total transmission delay in most scenarios. In contrast to the conventional RLNC method employing a fixed coding ratio, the presented approach has demonstrated significant enhancements, resulting in a 73% decrease in transmission delay and a 4 times augmentation in throughput. However, in dynamic computational environments, ARLNC generally incurs higher computational costs than the standard RLNC but excels in high-performance networks. 展开更多
关键词 Random linear network coding Adjust redundancy Galois field Internet of Things Data transfer
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Efficient socket-based data transmission method and implementation in deep learning 认领 引用
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作者 Wei Xin-Jian Li Shu-Ping +5 位作者 Yang Wu-Yang Zhang Xiang-Yang Li Hai-Shan Xu Xin Wang Nan Fu Zhanbao 《Applied Geophysics》 SCIE CSCD 2025年第4期1341-1350,1499,1500,共10页
The deep learning algorithm,which has been increasingly applied in the field of petroleum geophysical prospecting,has achieved good results in improving efficiency and accuracy based on test applications.To play a gre... The deep learning algorithm,which has been increasingly applied in the field of petroleum geophysical prospecting,has achieved good results in improving efficiency and accuracy based on test applications.To play a greater role in actual production,these algorithm modules must be integrated into software systems and used more often in actual production projects.Deep learning frameworks,such as TensorFlow and PyTorch,basically take Python as the core architecture,while the application program mainly uses Java,C#,and other programming languages.During integration,the seismic data read by the Java and C#data interfaces must be transferred to the Python main program module.The data exchange methods between Java,C#,and Python include shared memory,shared directory,and so on.However,these methods have the disadvantages of low transmission efficiency and unsuitability for asynchronous networks.Considering the large volume of seismic data and the need for network support for deep learning,this paper proposes a method of transmitting seismic data based on Socket.By maximizing Socket’s cross-network and efficient longdistance transmission,this approach solves the problem of inefficient transmission of underlying data while integrating the deep learning algorithm module into a software system.Furthermore,the actual production application shows that this method effectively solves the shortage of data transmission in shared memory,shared directory,and other modes while simultaneously improving the transmission efficiency of massive seismic data across modules at the bottom of the software. 展开更多
关键词 Socket Deep learning Transfer data Seismic data Thread pool River prediction
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There are better ways to transfer data in a secure and reliable way 认领 引用
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《ZTE Communications》 2006年第2期37-37,共1页
关键词 ZTE data There are better ways to transfer data in a secure and reliable way
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一种DSP-YOLO煤矿带式输送机人员不安全状态智能检测算法 认领 引用 被引量：2
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作者 樊红卫 闫昕山 +4 位作者 曹现刚 李曼 张旭辉 毛清华 肖志昊 《煤炭科学技术》 EI CAS CSCD 北大核心 2026年第2期501-518,共18页
为解决煤矿带式输送机周遭人员不安全状态检测时因尺度变化和背景遮挡导致的准确率低的问题,提出一种DSP-YOLO带式输送机人员不安全状态智能检测算法。首先,针对原始数据多样性不足和模型泛化能力有限的问题,将传统数据增强与GridMask... 为解决煤矿带式输送机周遭人员不安全状态检测时因尺度变化和背景遮挡导致的准确率低的问题,提出一种DSP-YOLO带式输送机人员不安全状态智能检测算法。首先,针对原始数据多样性不足和模型泛化能力有限的问题,将传统数据增强与GridMask数据增强策略相结合,以提升模型对复杂背景中遮挡目标和小目标检测的鲁棒性。其次,针对人员不安全状态的检测效率与准确性需求,在主干网络中引入感受野扩展卷积(Shift-Wise Conv,SWC)模块,以扩展模型感受野并增强主干网络的全局特征提取能力;同时,设计多尺度特征融合(Dynamic Multi-Scale Fusion and Triple Feature Encoder,DyMSF-TFE)模块,对多尺度特征进行动态融合,充分利用细节特征和多尺度特征,以提高模型对多尺度目标和复杂背景的适应性;并且,采用PIoUv2损失函数,以缓解遮挡目标和小目标引起的漏检和误检问题。此外,为进一步提升DSP-YOLO在实际场景中的检测性能,使用实验室数据训练模型并进行迁移应用。结果表明,结合传统数据增强和GridMask的数据集较原始数据集的精确度、mAP0.5和mAP0.5:0.95分别增加了3.4%、1.9%和6.6%;DSP-YOLO的精确度、召回率、mAP0.5和mAP0.5:0.95分别达到94.8%、89.4%、93.2%和70.5%,较基线模型分别提升了2.3%、1.1%、0.9%和2.3%;针对现场数据,采用模型迁移应用策略可使检测精确度达到99.1%。研究结果证明了所提算法能够实现煤矿带式输送机周遭人员不安全状态的准确智能检测。 展开更多
关键词 带式输送机 人员状态检测 多尺度目标 遮挡目标 数据增强 迁移应用
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企业数据出境动态风险评估与安全监管体系研究 认领 引用 被引量：1
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作者 赵兴文 蔡佳音 +3 位作者 李晖 刘子熠 陈萱桂 吕元哲 《信息安全研究》 CSCD 北大核心 2026年第2期124-133,共10页
随着数字经济的全球化发展,数据跨境流动需求显著增加,涉及国家信息、商业秘密和个人隐私等数据的出境安全风险也日益凸显.以降低企业数据出境业务风险为目的,以监管视角下的风险要素为研究对象,进一步基于数据出境流转模式提出了监测... 随着数字经济的全球化发展,数据跨境流动需求显著增加,涉及国家信息、商业秘密和个人隐私等数据的出境安全风险也日益凸显.以降低企业数据出境业务风险为目的,以监管视角下的风险要素为研究对象,进一步基于数据出境流转模式提出了监测与抽检机制相结合的企业数据出境风险评估与安全监管体系框架.通过强化事前、事中、事后全链条风险监管思路,包括事前基于多要素归并分析的风险预评估、事中基于统计监测与抽检机制的风险调整与应对,以及事后针对违规行为的处置与监管优化,促进跨境企业规范其数据出境行为.为完善数据出境安全监管技术体系提供建议,对未来推动数字经济的高质量健康发展具有重要意义. 展开更多
关键词 数据跨境流动 企业数据出境 风险评估 安全监管 数字治理
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基于深度学习的雷达跨场景人体行为识别 认领 引用
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作者 孙延鹏 陈治宇 屈乐乐 《现代电子技术》 北大核心 2026年第3期105-112,共8页
基于雷达的人体行为活动识别近些年来广泛应用于智能驾驶、生活辅助、医疗等方面,但由于雷达数据的获取受环境影响较大、训练好的模型依赖于特定环境,使得行为识别系统需要在新环境中重新标定,增加了系统的普适性和部署难度,因此开发一... 基于雷达的人体行为活动识别近些年来广泛应用于智能驾驶、生活辅助、医疗等方面,但由于雷达数据的获取受环境影响较大、训练好的模型依赖于特定环境,使得行为识别系统需要在新环境中重新标定,增加了系统的普适性和部署难度,因此开发一种迁移学习机制变得尤为重要。针对这一问题,文中将无监督领域自适应技术和自蒸馏策略相结合。无监督领域自适应技术通过算法自动调整,使得模型能够在没有额外标注数据的情况下适应新环境,显著提高了模型的泛化能力。自蒸馏策略进一步利用源模型的预测结果作为软标签,指导目标模型在训练过程中更好地捕捉和模仿源模型的行为模式。通过实验验证,该方法在公共的人体行为数据集上展现出良好的适应性并取得了较大的性能提升,与传统方法相比拥有更强的竞争力。 展开更多
关键词 人体行为识别 深度学习 雷达数据 迁移学习 无监督领域自适应 自蒸馏
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跨工况下基于改进CGAN的钛合金显微组织数据生成方法 认领 引用
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作者 刘晶 赵邵泽 +2 位作者 刘鑫刚 牛浩哲 季海鹏 《计算机应用》 CSCD 北大核心 2026年第7期2373-2382,共10页
钛合金广泛应用于航空航天等领域,它的显微组织的优化是提升材料性能的关键。因此,探索钛合金热加工工艺参数与显微组织演变规律的关联性成为研究热点。传统研究方法高度依赖于实验手段,通过物理试样制备与表征获取数据,然而,热加工工... 钛合金广泛应用于航空航天等领域,它的显微组织的优化是提升材料性能的关键。因此,探索钛合金热加工工艺参数与显微组织演变规律的关联性成为研究热点。传统研究方法高度依赖于实验手段,通过物理试样制备与表征获取数据,然而,热加工工况组合复杂、实验周期长且成本高,导致全工况下的显微组织数据难以完备。针对上述问题,提出一种跨工况下基于改进条件生成对抗网络(CGAN)的钛合金显微组织数据生成方法(GL-CGAN-TL)。该方法包括2个模块:1)基于全局-局部生成器融合的显微组织数据生成模块,通过全局-局部生成器在新工况下高效生成显微组织数据;2)基于自适应微调的数据质量迁移验证模块,结合迁移学习技术对生成数据质量进行验证。在TC18钛合金显微组织试样数据上进行实验的结果表明,本文方法在保持生成数据有效补全真实数据的同时,使平均绝对误差(MAE)和均方根误差(RMSE)较现有方法降低了27.6%以上,显著优于同类方法。 展开更多
关键词 跨工况 显微组织 数据生成 迁移学习 深度学习
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面向GPU的低能耗数据传输的组重映射编码方法 认领 引用
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作者 章铁飞 邢建国 《计算机工程与科学》 CSCD 北大核心 2026年第5期803-809,共7页
现代图形处理单元(GPU)的高性能计算能力,依赖于高带宽的图形DDR(GDDR)接口。高带宽的数据传输速率导致高能耗,特别是GDDR的伪开漏(POD)I/O接口中传输逻辑1值的不对称能耗。通过减少数据传输过程中高能耗的逻辑1值,可以缓解数据传输时... 现代图形处理单元(GPU)的高性能计算能力,依赖于高带宽的图形DDR(GDDR)接口。高带宽的数据传输速率导致高能耗,特别是GDDR的伪开漏(POD)I/O接口中传输逻辑1值的不对称能耗。通过减少数据传输过程中高能耗的逻辑1值,可以缓解数据传输时的高能耗问题。提出一种基于逻辑1值数量的组重映射编码方法。首先,将待传输数据按4位划分为基本单元,根据单元包含的逻辑1值数量再分组,然后将包含逻辑1值较多且数量较多的组映射编码为包含逻辑1值较少且数量较少的组,以最小化全局的逻辑1值数量。在现代GPU架构上评估,结果显示组重映射编码方法可以有效减少各种应用程序在数据传输时的逻辑1值的数量,平均降低比例达到26%,证明了方法的有效性。 展开更多
关键词 数据传输能耗 GDDR I/O接口 组重映射编码 图形处理器
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涉外法治视角下数据出境中国家安全的刑法保护研究 认领 引用
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作者 陈毅坚 曾宪哲 《辽宁大学学报（哲学社会科学版）》 CSSCI 2026年第3期73-84,F0003,共12页
数字化转型使数据安全成为发展的核心问题,“数据霸权主义”将数据安全问题转化为国家安全问题,而数据出境是重要场景。刑法作为安全保障的常态动能,需要对此提供科学的立法供给。数据出境中危害国家安全的刑事风险类型主要表现为关键... 数字化转型使数据安全成为发展的核心问题,“数据霸权主义”将数据安全问题转化为国家安全问题,而数据出境是重要场景。刑法作为安全保障的常态动能,需要对此提供科学的立法供给。数据出境中危害国家安全的刑事风险类型主要表现为关键数据出境和大体量数据出境,各法域均限制涉国安数据的流动并规定了相应的刑事责任。我国刑法规制数据出境中国家安全风险呈现出涉外法治理念运用不足、单位犯罪规制局限、域外管辖权范围过窄、网络服务主体义务不明等问题。据此,应以涉外法治理念为引领,确立“数据主权”的立法原则,同时扩大涉外刑事管辖范围,增加单位作为犯罪主体和类型化服务主体及义务,以实现保持数据流动与保障国家安全的平衡。 展开更多
关键词 涉外法治 国家安全 刑法保护 数据主权 数据出境
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基于Voronoi图与改进TT-GAN的光伏时序数据增强方法 认领 引用
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作者 朱耿 蒋元元 +2 位作者 王波 贺旭 王晴 《浙江电力》 2026年第1期102-115,共14页
光伏场站量测数据的匮乏以及传感器故障、通信中断等造成的数据缺失,将影响功率预测的准确性与鲁棒性。因此,以构建统一多源域筛选机制与数据增强框架为目标,提出一种基于Voronoi图与改进TT-GAN(变换器生成对抗网络)的光伏时序数据增强... 光伏场站量测数据的匮乏以及传感器故障、通信中断等造成的数据缺失,将影响功率预测的准确性与鲁棒性。因此,以构建统一多源域筛选机制与数据增强框架为目标,提出一种基于Voronoi图与改进TT-GAN(变换器生成对抗网络)的光伏时序数据增强方法。基于Voronoi图与数据强度指标实现多场景下迁移学习源站点集的动态选取,构建迁移学习赋能的Transformer-GAN模型,改进模型优化处理结构与微调方法,基于自注意力机制与有监督训练增强其处理数据噪声与特征学习的能力,使其适应数据生成和数据修补的不同目标。实验结果表明,所提模型在现有光伏时序数据集基础上实现了数据质量提升,能够提高功率预测的准确性。 展开更多
关键词 数据增强 Voronoi图 数据强度 迁移学习 变换器生成对抗网络
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Graphical-based data placement algorithm for cloud workflow 认领 引用
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作者 张鹏 Wang Guiling +1 位作者 Han Yanbo Wang Jing 《High Technology Letters》 EI CAS 2014年第2期179-186,共8页
When workflow task needs several datasets from different locations m cloud, data transfer becomes a challenge. To avoid the unnecessary data transfer, a graphical-based data placement algo- rithm for cloud workflow is... When workflow task needs several datasets from different locations m cloud, data transfer becomes a challenge. To avoid the unnecessary data transfer, a graphical-based data placement algo- rithm for cloud workflow is proposed. The algorithm uses affinity graph to group datasets while keeping a polynomial time complexity. By integrating the algorithm, the workflow engine can intelligently select locations in which the data will reside to avoid the unnecessary data transfer during the initial stage and runtime stage. Simulations show that the proposed algorithm can effectively reduce data transfer during the workflow＇ s execution. 展开更多
关键词 data placement affinity graph cloud computing workflow data transfer
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民航旅客个人信息的合规问题研究 认领 引用
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作者 张丝路 《北京航空航天大学学报（社会科学版）》 CSSCI 2026年第2期128-136,共9页
在航空运输业中,处理个人信息涉及众多主体,并与国家安全密切相关。同时,旅客向航空公司提供的个人信息可能被跨境传输,且包含敏感个人信息。对于国内航班,当旅客在订座和购票时,航空公司应充分告知旅客,法律可能要求航空公司向公权力... 在航空运输业中,处理个人信息涉及众多主体,并与国家安全密切相关。同时,旅客向航空公司提供的个人信息可能被跨境传输,且包含敏感个人信息。对于国内航班,当旅客在订座和购票时,航空公司应充分告知旅客,法律可能要求航空公司向公权力机关提供个人信息;可能的个人信息处理者及其各自的处理行为和处理目的;针对处理行为的个人信息保护影响评估结果;旅客维护其个人信息权益的相关指南以及设立的个人信息保护负责人。同时,自动化决策技术和人脸识别技术的适用应受相应限制。就跨境传输旅客个人信息而言,应制定专门针对该问题的国际规则。可行的方式之一是在双边民用航空运输协定中添加旅客个人信息跨境传输规则的附件;而在国际规则阙如时,航空公司跨境传输旅客个人信息应遵循合法、正当和必要原则。 展开更多
关键词 民用航空运输 个人信息 合规 个人信息保护法 数据跨境
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基于多模型集成与参数迁移的钢铁工业产线能耗预测算法 认领 引用 被引量：2
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作者 肖雄 徐夏露 +3 位作者 张勇军 叶锡军 杨煌光 李小占 《中国冶金》 EI CAS CSCD 北大核心 2026年第1期185-198,共14页
钢铁工业产线具有多品种多规格、变工况以及工序连续与离散兼备的特点,单一预测模型难以实现能耗的精准预测。针对多品种和多规格切换、变工况扰动及工序耦合场景下工业产线能源预测精度不足问题,本文提出基于多模型集成与参数迁移的能... 钢铁工业产线具有多品种多规格、变工况以及工序连续与离散兼备的特点,单一预测模型难以实现能耗的精准预测。针对多品种和多规格切换、变工况扰动及工序耦合场景下工业产线能源预测精度不足问题,本文提出基于多模型集成与参数迁移的能耗预测算法,以解决多因素超强耦合下线性与非线性模型并行预测问题。首先,通过建立数据预处理均衡机制进行样本筛选与扩充;其次,基于多类典型预测模型设计、模型随机组合原则和动态权重分配框架,结合XGBoost元学习器构建集成学习算法,协调线性/非线性模型并进行预测;最后,针对不可测量的散点能耗,采用参数迁移学习关联函数,实现品种规格-工序-工况多维参数映射,完成单介质全工序预测。利用企业实际钢管产线搭建大数据平台及能源预测系统,并采用热轧工序实际数据进行试验验证。结果表明,动态权重分配框架充分发挥了各基础预测模型的优势,集成模型在典型工序能耗的预测准确度高达99.59%;经参数迁移核算后的总能耗预测模型精度较高,其中,电耗预测精度高达99.67%。 展开更多
关键词 集成学习 迁移学习 数据增强 能耗预测 全流程能耗核算 五折交叉验证 模型组合 动态权重
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