检索结果-内蒙古大学图书馆

ieee Conference on Global Communications (GLOBECOM)

作者： Akihito Taya Yuuki Nishiyama Kaoru Sezaki Institute of Industorial Science The University of Tokyo Tokyo JAPAN Center for Spatial Information Science The University of Tokyo Chiba JAPAN

Federated learning (FL) achieves collaborative learning without the need for data sharing, thus preventing privacy leakage. To extend FL into a fully decentralized algorithm, researchers have applied distributed optimization algorithms to FL by considering machine learning (ML) tasks as parameter optimization problems. Conversely, the consensus-based multi-hop federated distillation (CMFD) proposed in the authors' previous work makes neural network (NN) models get close with others in a function space rather than in a parameter space. Hence, this study solves two unresolved challenges of CMFD: (1) communication cost reduction and (2) visualization of model convergence. Based on a proposed dynamic communication cost reduction method (DCCR), the amount of data transferred in a network is reduced; however, with a slight degradation in the prediction accuracy. In addition, a technique for visualizing the distance between the NN models in a function space is also proposed. The technique applies a dimensionality reduction technique by approximating infinite-dimensional functions as numerical vectors to visualize the trajectory of how the models change by the distributed learning algorithm.

关键词：

来源：评论

学校读者我要写书评

暂无评论

General GAN-generated Image Detection by data Augmentation in Fingerprint Domain

General GAN-generated Image Detection by Data Augmentation i...

引用

ieee International Conference on Multimedia and Expo (ICME)

作者： Huaming Wang Jianwei Fei Yunshu Dai Lingyun Leng Zhihua Xia College of Cyber Security Jinan University Guangzhou China School of Computer Science Nanjing University of Information Science and Technology Nanjing China

In this work, we investigate improving the generalizability of GAN-generated image detectors by performing data augmentation in the fingerprint domain. Specifically, we first separate the fingerprints and contents of the GAN-generated images using an autoencoder based GAN fingerprint extractor, followed by random perturbations of the fingerprints. Then the original fingerprints are substituted with the perturbed fingerprints and added to the original contents, to produce images that are visually invariant but with distinct fingerprints. The perturbed images can successfully imitate images generated by different GANs to improve the generalization of the detectors, which is demonstrated by the spectra visualization. To our knowledge, we are the first to conduct data augmentation in the fingerprint domain. Our work explores a novel prospect that is distinct from previous works on spatial and frequency domains augmentation. Extensive cross-GAN experiments demonstrate the effectiveness of our method compared to the state-of-the-art methods in detecting fake images generated by unknown GANs.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Edit-History Vis: An Interactive Visual Exploration and Analysis on Wikipedia Edit History

Edit-History Vis: An Interactive Visual Exploration and Anal...

引用

Pacific (formerly Asia-Pacific APVIS) visualization Symposium

作者： Yuhan Guo Qin Han Yuke Lou Yiming Wang Can Liu Xiaoru Yuan Key Laboratory of Machine Perception (Ministry of Education) and School of Intelligence Science and Technology Peking University China School of Electronic Engineering and Computer Science Peking University China National Engineering Laboratory for Big Data Analysis and Application Peking University China

We propose Edit-History Vis, a visual analytics system designed to facilitate interactive exploration on Wikipedia edit history at a fine-grained level. The examination of detailed changes in Wikipedia articles is crucial for understanding how authors’ perspectives vary and conflict during the collaborative editing process. However, it is challenging to reveal the details while preserving the heterogeneous attributes of revisions, namely the time, content, and editor. The Edit-History Vis system integrates editor and textual changes of revisions by utilizing a force-directed revision graph that groups revisions based on standpoints. Through this revision graph, users can identify and analyze editing events such as edit wars, vandalism, repair, and normal updates. The effectiveness of the system in analyzing the edit history is validated through a qualitative comparison with prior work and a quantitative rating from a user study.

关键词：

来源：评论

学校读者我要写书评

暂无评论

NFTVis: Visual Analysis of NFT Performance

NFTVis: Visual Analysis of NFT Performance

引用

Pacific (formerly Asia-Pacific APVIS) visualization Symposium

作者： Fan Yan Xumeng Wang Ketian Mao Wei Zhang Wei Chen State Key Lab of CAD&CG Zhejiang University College of Computer Science Nankai University Ministry of Education Laboratory of Art and Archaeology Image (Zhejiang University) China

A non-fungible token (NFT) is a data unit stored on the blockchain. Nowadays, more and more investors and collectors (NFT traders), who participate in transactions of NFTs, have an urgent need to assess the performance of NFTs. However, there are two challenges for NFT traders when analyzing the performance of NFT. First, the current rarity models have flaws and are sometimes not convincing. In addition, NFT performance is dependent on multiple factors, such as images (high-dimensional data), history transactions (network), and market evolution (time series). It is difficult to take comprehensive consideration and analyze NFT performance efficiently. To address these challenges, we propose NFTVis, a visual analysis system that facilitates assessing individual NFT performance. A new NFT rarity model is proposed to quantify NFTs with images. Four well-coordinated views are designed to represent the various factors affecting the performance of the NFT. Finally, we evaluate the usefulness and effectiveness of our system using two case studies and user studies.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Radiological Incident System using Augmented Reality (RISAR)

Radiological Incident System using Augmented Reality (RISAR)

引用

Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), ieee Conference on

作者： Muhannad Ismael Roderick McCall Maël Cornil Mike Griffin Joan Baixauli IT for Innovative Services (ITIS) Department Luxembourg Institute of Science and Technology (LIST) Luxembourg

This paper presents an Augmented Reality (AR) solution called RISAR that allows for the real-time visualisation of Radiological hazards based on sensor data captured from detectors as well as Unmanned Aerial and Ground Vehicles. RISAR improves safety for first responders during radiological events by enhancing their situation awareness. This lowers the risk of harm, and with it any health impacts and costs.

关键词： Three-dimensional displays Costs Conferences data visualization Detectors Real-time systems Land vehicles

来源：评论

学校读者我要写书评

暂无评论

Dimensionality Explorer for Single-Cell Analysis

Dimensionality Explorer for Single-Cell Analysis

引用

Pacific (formerly Asia-Pacific APVIS) visualization Symposium

作者： Haejin Jeong Hyoung-oh Jeong Semin Lee Won-Ki Jeong Korea University Ulsan National Institute of Science and Technology

Single-cell RNA sequencing (scRNA-seq) is becoming popular in studying the gene expression of cells at the single-cell level. ScRNA-seq enables analysts to characterize cell types, thereby providing a better understanding of dynamic biological processes. In scRNA-seq data analysis, principal component analysis (PCA) is commonly used to reduce at least thousands of dimensions in the raw data to a manageable size so that analysts can visualize and cluster cells to identify different cell types. The conventional process to determine the optimal dimensionality includes a laborious manual review of hundreds of different projection plots. To address this problem, we introduce a dimensionality explorer for single-cell analysis, which is a visualization system that helps analysts to effectively determine the optimal dimensionality of scRNA-seq data. It employs a hull heatmap, which provides a holistic view of overlaps among multiple cell types across various dimensionalities using a convex hull-embedded color map. The hull heatmap effectively reduces the burden of manually reviewing hundreds of projection plots to determine the optimal dimensionality. Our system also provides interactive gene expression level visualization and intuitive lasso selection, thereby allowing analysts to progressively refine the convex hulls of the hull heatmap. We demonstrate the usefulness of the proposed system through a user study and three case studies conducted by domain experts.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Investigating Visual Analytics against Terrorist Financing in Dark Web Marketplaces

Investigating Visual Analytics against Terrorist Financing i...

引用

ieee International Conference on Big data

作者： Kyriaki Miniadou Eirini Kyriakou Spyridon Tzagkarakis Asterios Leonidis Georgios Th. Papadopoulos Constantine Stephanidis Foundation for Research and Technology - Hellas (FORTH) Institute of Computer Science (ICS) Heraklion Greece Department of Informatics and Telematics Harokopio University of Athens Athens Greece University of Crete Heraklion Greece

This paper addresses the growing issue of terrorists utilizing the Internet, and particularly the Dark Web market places, with the purpose of fundraising for their illegal activities. It proposes the Visual Analytics (VA) system, an advanced AI-powered tool, in an effort to combat cross-border financing associated with terrorism. The tools focus on semantic concept detection and large-scale visual data indexing, and the ultimate goal is to familiarize end-users, practitioners, and law enforcement investigators with these technologies. This paper discusses prior works concerning the presentation and visualization of Deep Learning results to users, outlines the main objectives, and provides fundamental usage instructions for the VA system.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Toward a Modular Workflow for Network Performance Characterization

Toward a Modular Workflow for Network Performance Characteri...

引用

ieee International Symposium on Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Niklas Bartelheimer Zhaobin Zhu Sarah Neuwirth Institute of Computer Science Goethe University Frankfurt Germany Julich Supercomputing Centre Forschungszentrum Jülich GmbH Germany

In this work, we propose the Network Performance Collector (NPC) workflow for automated network performance characterization. The workflow relies on the collection, processing, and visualization of network performance metrics such as throughput and latency, and can be used for analysis with various network performance models. Depending on the selected model, benchmark tools such as iperf or sockperf and microbenchmarks specific to parallel programming models can be automated and orchestrated for data collection using the NPC. The data obtained can then be used by NPC to, for example, validate and characterize the performance of the underlying network or to analyze the system limitations for a given application.

关键词：

来源：评论

学校读者我要写书评

暂无评论

SecBox: A Lightweight Container-based Sandbox for Dynamic Malware Analysis

SecBox: A Lightweight Container-based Sandbox for Dynamic Ma...

引用

ieee Symposium on Network Operations and Management

作者： Jan von der Assen Alberto Huertas Celdrán Adrian Zermin Raffael Mogicato Gérôme Bovet Burkhard Stiller Department of Informatics Communication Systems Group University of Zurich UZH Zürich Switzerland Cyber-Defence Campus armasuisse Science & Technology Thun Switzerland

Cybersecurity solutions based on machine learning (ML) and behavioral fingerprinting have demonstrated their suitability when detecting heterogeneous malware. However, most solutions are black boxes missing explainable and visual capabilities needed to analyze relevant metrics and malicious behaviors to be collected. In this demonstration, SecBox, a dynamic malware analysis platform with integrated data collection and visualization for malware execution, is presented. To provide a lightweight sandboxing approach, the architecture relies on Linux containers for isolation. The sandboxing and data analysis components of the SecBox architecture are deployed in a test bed to show the analysis of two malware families. In the presented scenario, the Monti ransomware and CoinMiner, a Monero-based cryptojacker are analyzed after obtaining them from a public database.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Exploration on the Negative Effects of Sensor Shifts in Photoplethysmography-Based Gesture Recognition and a Solution Based on Transfer Learning

引用

ieee TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2023年 72卷

作者： Fang, Chengfeng Ruan, Xin Zhang, Xu Chen, Xun Chen, Xiang Univ Sci & Technol China USTC Dept Elect Sci & Technol Hefei 230027 Peoples R China

In order to promote the development of gesture interaction on wearable devices, this article explores the negative effects of sensor shifts in photoplethysmography (PPG)-based gesture recognition technology and propose a solution based on transfer learning (TL) method. First, ten batches of PPG data with sensor shifts are collected for 14 gestures and ten participants. Then, the negative effects of sensor shifts is explored through experiments of feature visualization and gesture recognition based on single-batch data and multibatch data. Experimental results show that the negative effect of sensor shifts can significantly change the feature distribution of gesture PPG signals, resulting in a sharp drop (59.24%) in gesture recognition accuracy. Finally, with the goal of reducing user training burden in the presence of sensor shifts, a long short-term memory (LSTM)-based TL scheme is proposed and implemented. Compared to non-TL strategy, TL strategy can improve the accuracy of gesture recognition to a certain degree, especially, the improvement effect is more significant when the amount of data involved in model calibration is small. Using the proposed TL scheme, only a small amount of data is needed to calibrate the classier in the practical application of PPG gesture interaction. This study lays a good foundation for the realization of PPG-based gesture interaction applications on wearable devices.

关键词： Training Wearable computers Transfer learning data visualization Gesture recognition Photoplethysmography data models long short-term memory (LSTM) photoplethysmography (PPG) sensor shifts transfer learning (TL)

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：