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Supplementary open dataset for WiFi indoor localization based on received signal strength

Satellite Navigation 2022年第3期3卷 178-192,I0005页

作者： Jingxue Bi Yunjia Wang Baoguo Yu Hongji Cao Tongguang Shi Lu Huang School of Surveying and Geo-Informatics Shandong Jianzhu UniversityJinan250101China School of Environment and Spatial Informatics China University of Mining and TechnologyXuzhou221116China Key Laboratory of Satellite Navigation System and Equipment Technology The 54th Research Institute of China Electronics Technology Group CorporationShijiazhuang050081China

Several Wireless Fidelity(WiFi)fingerprint datasets based on Received Signal Strength(RSS)have been shared for indoor ***,they can’t meet all the demands of WiFi RSS-based localization.A supplementary open dataset for WiFi indoor localization based on RSS,called as SODIndoorLoc,covering three buildings with multiple floors,is presented in this *** dataset includes dense and uniformly distributed Reference Points(RPs)with the average distance between two adjacent RPs smaller than 1.2 ***,the locations and channel information of pre-installed Access Points(APs)are summarized in the *** addition,computer-aided design drawings of each floor are *** SODIndoorLoc supplies nine training and five testing *** standard machine learning algorithms and their variants(eight in total)are explored to evaluate positioning accuracy,and the best average positioning accuracy is about 2.3 ***,the SODIndoorLoc can be treated as a supplement to UJIIndoorLoc with a consistent *** dataset can be used for clustering,classification,and regression to compare the performance of different indoor positioning applications based on WiFi RSS values,e.g.,high-precision positioning,building,floor recognition,fine-grained scene identification,range model simulation,and rapid dataset construction.

关键词： WiFi Indoor localization open dataset RSS AP Machine learning

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An open dataset of data lineage graphs for data governance research

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Visual Informatics 2024年第1期8卷 1-5页

作者： Yunpeng Chen Ying Zhao Xuanjing Li Jiang Zhang Jiang Long Fangfang Zhou Central South University ChangshaHunanChina Huawei Cloud Computing Technology Co. Ltd.HangzhouZhejiangChina

Data have become valuable assets for *** governance aims to manage and reuse data assets,facilitating enterprise management and enabling product innovations.A data lineage graph(DLG)is an abstracted collection of data assets and their data lineages in data *** DLGs can provide rich data insights for data ***,the progress of data governance technologies is hindered by the shortage of available open datasets for *** paper introduces an open dataset of DLGs,including the DLG model,the dataset construction process,and applied *** real-world dataset is sourced from Huawei Cloud Computing Technology Company Limited,which contains 18 DLGs with three types of data assets and two types of *** the best of our knowledge,this dataset is the first open dataset of DLGs for data *** dataset can also support the development of other application areas,such as graph analytics and visualization.

关键词： Data asset Data governance Data lineage Graph open dataset

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Air2Land:A deep learning dataset for unmanned aerial vehicle autolanding from air to land

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IET Cyber-Systems and Robotics 2022年第2期4卷 77-85页

作者： Xunchen Zheng Tianjiang Hu Machine Intelligence and Collective Robotics(MICRO)Lab Sun Yat-sen UniversityGuangzhouChina Institute for Artificial Intelligence Sun Yat-sen UniversityGuangzhouChina

In this paper,a novel deep learning dataset,called Air2Land,is presented for advancing the state‐of‐the‐art object detection and pose estimation in the context of one fixed‐wing unmanned aerial vehicle autolanding *** bridges vision and control for ground‐based vision guidance systems having the multi‐modal data obtained by diverse sensors and pushes forward the development of computer vision and autopilot algorithms tar-geted at visually assisted landing of one fixed‐wing *** dataset is composed of sequential stereo images and synchronised sensor data,in terms of the flying vehicle pose and Pan‐Tilt Unit angles,simulated in various climate conditions and landing *** real‐world automated landing data is very limited,the proposed dataset provides the necessary foundation for vision‐based tasks such as flying vehicle detection,key point localisation,pose estimation ***,in addition to providing plentiful and scene‐rich data,the developed dataset covers high‐risk scenarios that are hardly accessible in *** dataset is also open and available at https://***/micros‐uav/micros_air2land as well.

关键词： autonomous landing(autolanding) deep learning,ground stereo vision open dataset unmanned aerial vehicle(UAV)

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Malicious webshell family dataset for webshell multi-classification research

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Visual Informatics 2024年第1期8卷 47-55页

作者： Ying Zhao Shenglan Lv Wenwei Long Yilun Fan Jian Yuan Haojin Jiang Fangfang Zhou School of Computer Science and Engineering Central South UniversityChangshaHunanChina Alibaba Cloud Intelligence Business Group Alibaba CloudBeijingChina

Malicious webshells currently present tremendous threats to cloud *** relevant studies and open webshell datasets consider malicious webshell defense as a binary classification problem,that is,identifying whether a webshell is malicious or ***,a fine-grained multi-classification is urgently needed to enable precise responses and active defenses on malicious webshell *** paper introduces a malicious webshell family dataset named MWF to facilitate webshell multiclassification *** dataset contains 1359 malicious webshell samples originally obtained from the cloud servers of Alibaba *** of them is provided with a family *** samples of the same family generally present similar characteristics or *** dataset has a total of 78 families and 22 ***,this paper introduces the human–machine collaboration process that is adopted to remove benign or duplicate samples,address privacy issues,and determine the family of each *** paper also compares the distinguished features of the MWF dataset with previous datasets and summarizes the potential applied areas in cloud security and generalized sequence,graph,and tree data analytics and visualization.

关键词： open dataset Webshell Webshell family Cloud security

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