3篇
您的检索式：作者名="Xiting Peng"
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| 1 | A Broad Learning-Driven Network Traffic Analysis System Based on Fog Computing Paradigm显示文摘The development of communication technologies which support traffic-intensive applications presents new challenges in designing a real-time traffic analysis architecture and an accurate method that suitable for a wide variety of traffic types.Current traffic analysis methods are executed on the cloud,which needs to upload the traffic data.Fog computing is a more promising way to save bandwidth resources by offloading these tasks to the fog nodes.However,traffic analysis models based on traditional machine learning need to retrain all traffic data when updating the trained model,which are not suitable for fog computing due to the poor computing power.In this study,we design a novel fog computing based traffic analysis system using broad learning.For one thing,fog computing can provide a distributed architecture for saving the bandwidth resources.For another,we use the broad learning to incrementally train the traffic data,which is more suitable for fog computing because it can support incremental updates of models without retraining all data.We implement our system on the Raspberry Pi,and experimental results show that we have a 98%probability to accurately identify these traffic data.Moreover,our method has a faster training speed compared with Convolutional Neural Network(CNN). | Xiting Peng Kaoru Ota Mianxiong Dong | 2020 | China Communications2020，17，2： | 2 |
| 2 | The effect of iron on the preservation of organic carbon in marine sediments and its implications for carbon sequestration显示文摘Marine sediments are the most significant reservoir of organic carbon(OC)in Earth′s surface system.Iron,a crucial component of the marine biogeochemical cycle,has a considerable impact on marine ecology and carbon cycling.Understanding the effect of iron on the preservation of OC in marine sediments is essential for comprehending biogeochemical processes of carbon and climate change.This review summarizes the methods for characterizing the content and structure of iron-bound OC and explores the influencing mechanism of iron on OC preservation in marine sediments from two aspects:the selective preservation of OC by reactive iron minerals(iron oxides and iron sulfides)and iron redox processes.The selective preservation of sedimentary OC is influenced by different types of reactive iron minerals,OC reactivity,and functional groups.The iron redox process has dual effects on the preservation and degradation of OC.By considering sedimentary records of iron-bound OC across diverse marine environments,the role of iron in long-term preservation of OC and its significance for carbon sequestration are illustrated.Future research should focus on identifying effective methods for extracting reactive iron,the effect of diverse functional groups and marine sedimentary environments on the selective preservation of OC,and the mediation of microorganisms.Such work will help elucidate the influencing mechanisms of iron on the long-term burial and preservation of OC and explore its potential application in marine carbon sequestration to maximize its role in achieving carbon neutrality. | Limin HU Yuhan JI Bin ZHAO Xiting LIU Jiazong DU Yantao LIANG Peng YAO | 2023 | Science China Earth Sciences2023，66，9： | 0 |
| 3 | From Fashion to Art: the Combination of Fashion and Exhibition显示文摘In recent years,fashion exhibitions have become a major force for attracting guests outside catwalks and shops.This article will mainly talk about the history of fashion exhibitions,the influence of fashion exhibitions and the controversies of fashion exhibitions. | Xiting Peng | 2020 | Proceedings of Business and Economic Studies2020，3，3： | 0 |
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