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检索条件"任意字段=IEEE Symposium on Large Data Analysis and Visualization"

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Research on Optimal Allocation of Network Loss for Centralized Renewable Energy Plants 5

Research on Optimal Allocation of Network Loss for Centraliz...

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5th Asia Energy and Electrical Engineering symposium (AEEES)

作者： Tong, Wenxuan Lu, Zhengang Han, Minxiao Zhao, Guoliang Li, Jufeng Chai, Fangyang North China Elect Power Univ Sch Elect & Elect Engn Beijing Peoples R China State Grid Smart Grid Res Inst Co Ltd State Key Lab Adv Power Transmiss Technol Beijing Peoples R China North China Elect Power Univ State Key Lab Alternate Elect Power Syst Renewabl Beijing Peoples R China North China Elect Power Univ Beijing Engn Res Ctr Frequency Convers Technol Beijing Peoples R China

ISBN: (纸本)9781665490542

Hybrid Power Station (HPS) will be one of the primary forms of the future power station to construct a safe and stable renewable power system. Due to the uneven regional spread of renewable energy resources, large-scale centralized development will become essential for renewable energy utilization. In this study, we investigate the optimal siting of HPS from the perspective of network loss optimization. First, we establish the basic model of network loss and propose this study's three basic assumptions through a three-bus radial network case study. Subsequently, to solve the optimal siting problem of centralized HPS, we propose a centralized HPS siting optimization method (CAM) and give a detailed application flowchart. Finally, we build an ieee 14-bus model based on the MATLAB/Simulink platform to simulate and validate the CAM method and visualize the simulation data based on the ieee 14-bus schematic, and the results obtained verify the effectiveness of the CAM method.

关键词： energy conservation renewable energy sources power flow analysis power distribution optimization techniques

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KG-PRE-view: Democratizing a TVCG Knowledge Graph through Visual Explorations

KG-PRE-view: Democratizing a TVCG Knowledge Graph through Vi...

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Pacific (formerly Asia-Pacific APVIS) visualization symposium

作者： Yamei Tu Rui Qiu Han-Wei Shen Ohio State University

ISBN: (数字)9798350393804

ISBN: (纸本)9798350393811

ieee Transactions on visualization and Computer Graphics (TVCG) publishes cutting-edge research in the fields of visualization, computer graphics, and virtual and augmented realities. Within the TVCG ecosystem, different stakeholders make decisions based on available information related to TVCG almost on a daily basis. The decisions involve various tasks such as the retrieval of research ideas and trends, the invitation of peer reviewers, and the selection of editorial board members, just to name a few. To make well-informed decisions in these contexts, a data-driven approach is necessary. However, the current ieee digital library only provides access to individual papers. Transforming this wealth of data into valuable insights is a daunting task, requiring specialized expertise and effort in tasks such as data crawling, cleaning, analysis, and visualizations. To address the needs of the community in facilitating more efficient and transparent decision-making, we construct and publicly release a TVCG knowledge graph (TVCG-KG). TVCG-KG is a structured representation of heterogeneous information, including the metadata of each publication such as author, affiliation, title, and semantic information such as method, task, data. Despite the widespread use of KGs in various downstream applications, a noticeable gap exists in the visualization literature regarding the full exploitation of the rich semantics embedded within KGs. While it might seem intuitive to just employ interactive graph-based visualization for KGs, we propose that knowledge discovery over KG is a series of visual exploratory tasks that can benefit from using multiple visualization techniques and designs. We conducted an evaluation of TVCG-KG quality and demonstrated its practical utility through several real-world cases. Our data and code are accessible via the following URL: https://***/yasmineTYM/***.

关键词： Uniform resource locators Visual analytics Semantics Decision making Pipelines data visualization Knowledge graphs

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GenStore: In-Storage Filtering of Genomic data for High-Performance and Energy-Efficient Genome analysis

GenStore: In-Storage Filtering of Genomic Data for High-Perf...

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ieee-Computer-Society Annual symposium on VLSI (ISVLSI)

作者： Ghiasi, Nika Mansouri Park, Jisung Mustafa, Harun Kim, Jeremie Olgun, Ataberk Gollwitzer, Arvid Cali, Damla Senol Firtina, Can Mao, Haiyu Alserr, Nour Almadhoun Ausavarungnirun, Rachata Vijaykumar, Nandita Alser, Mohammed Mutlu, Onur Swiss Fed Inst Technol Zurich Switzerland Bionano Genom San Diego CA USA KMUTNB Bangkok Thailand Univ Toronto Toronto ON Canada

ISBN: (数字)9781665466059

ISBN: (纸本)9781665466059

Genome sequence analysis, which analyzes the DNA sequences of organisms, is important for many applications in personalized medicine [1]–[8], outbreak tracing [9]–[14], and evolutionary studies [15]–[21]. The information of an organism's DNA is converted to digital data via a process called sequencing. A sequencing machine extracts the sequences of DNA molecules from the organism's sample in the form of strings consisting of four base pairs \n$(bps)$\n, denoted by \n$\\mathrm{A}, \\mathrm{C}, \\mathrm{G}$\n, and T. No current sequencing technology has the capability to read a human DNA molecule in its entirety. Instead, state-of-the-art sequencing machines generate randomly sampled, inexact sub-strings of the original genome, called reads. The information about the corresponding location of each read in the complete genome is lost during sequencing in most technologies. State-of-the-art sequencing machines produce one of two kinds of reads. 1) Short read sequencing technologies, such as Illumina [22], [23], produce reads that are highly accurate (99-99.9%) [24]–[26], but short (e.g., up to a few hundred DNA base pairs [24], [27], [28]). 2) Long read sequencing technologies, such as Pacific Biosciences (PacBio) [29] and Oxford Nanopore Technologies (ONT) [30], produce reads that are less accurate (85-90%) [27,31–33], but long (e.g., lengths ranging from thousands to millions of base pairs [34]).

关键词： Sequential analysis Sequences Filtering Precision medicine Genomics DNA Very large scale integration

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Disaster Damage visualization by VLM-Based Interactive Image Retrieval and Cross-View Image Geo-Localization

Disaster Damage Visualization by VLM-Based Interactive Image...

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ieee International symposium on Geoscience and Remote Sensing (IGARSS)

作者： Naoya Sogi Takashi Shibata Makoto Terao Kenta Senzaki Masahiro Tani Royston Rodrigues Visual Intelligence Research Labs NEC Corporation Japan NEC Laboratories Singapore NEC Asia Pacific Pte Ltd Singapore

ISBN: (数字)9798350360325

ISBN: (纸本)9798350360332

We propose a framework for quickly selecting images that show the disaster situation from many images, estimating their locations with high accuracy, and displaying them on a map. The proposed framework introduces interactive image retrieval based on the Vision and Language Model (VLM), which can retrieve images from many images that show the disaster situation according to the user’s intention. Using the correlation between language and images based on VLM and the similarity between images selected interactively enables more accurate retrieval. Next, for selected images for which the location of the affected area is unknown, the location of the image is estimated with street address-level accuracy by matching it with an overhead image covering a large area of the city and map data and then displayed on a map. We confirmed the effectiveness of the proposed method on publicly available datasets such as CrisisNLP.

关键词： Accuracy Correlation Disasters Image retrieval Urban areas Geoscience and remote sensing data visualization

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Visual Space-Time Complexity analysis of Big Signal data

Visual Space-Time Complexity Analysis of Big Signal Data

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ieee International symposium on Electromagnetic Compatibility (EMC)

作者： Jan Nemec Stanislav Kovar Jan Valouch Milan Adamek Faculty of Applied Informatics Tomas Bata University in Zlin Zlin Czech Republic

ISBN: (数字)9798350360394

ISBN: (纸本)9798350360400

This paper will focus on introducing visual analysis for big signal data suitable for preliminary conclusions and information presented to others. The analysis is to determine uniqueness, focusing on spatial-temporal complexity by the nature of the test data. Alongside introducing the analysis and optimization for programming purposes, the real data will be presented and used to display possible usage of this analysis and to determine the uniqueness of electromagnetic background for the possible use in true random number generators. The data consists of measurements in frequency band increments in many locations using widely available consumer-grade equipment. Visual analyses are especially valuable in situations like search for entropy sources because there is no immediate need for a concrete number or boolean statement of the uniqueness; moreover, presenting work is the daily job of a researcher, and the ability to visualize findings in a simple figure is easier to digest by the wider population.

关键词： visualization Histograms Transforms Programming Real-time systems Generators Complexity theory Frequency measurement Time-domain analysis Optimization

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Two Approaches to Survival analysis of Open Source Python Projects 30

Two Approaches to Survival Analysis of Open Source Python Pr...

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30th ieee/ACM International Conference on Program Comprehension (ICPC)

作者： Robinson, Derek Enns, Keanelek Koulecar, Neha Sihag, Manish Univ Victoria Comp Sci Victoria BC Canada

ISBN: (纸本)9781450392983

A recent study applied frequentist survival analysis methods to a subset of the Software Heritage Graph and determined which attributes of an open source software project contribute to its health. This paper serves as an exact replication of that study. In addition, Bayesian survival analysis methods were applied to the same dataset, and an additional project attribute was studied to serve as a conceptual replication. Both analyses focus on the effects of certain attributes on the survival of open-source software projects as measured by their revision activity. Methods such as the Kaplan-Meier estimator, Cox Proportional-Hazards model, and the visualization of posterior survival functions were used for each of the project attributes. The results show that projects which publish major releases, have repositories on multiple hosting services, possess a large team of developers, and make frequent revisions have a higher likelihood of survival in the long run. The findings were similar to the original study;however, a deeper look revealed quantitative inconsistencies.

关键词： data science survival analysis open source python Kaplan Meier Cox Proportional-Hazards model Bayesian analysis frequentist

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55th Annual ieee/ACM International symposium on Microarchitecture (MICRO)

作者： Jiang, Shizhi Yang, Qiusong Ci, Yiwei Univ Chinese Acad Sci Beijing Peoples R China Chinese Acad Sci Inst Software Beijing Peoples R China

ISBN: (数字)9781665462723

ISBN: (纸本)9781665462723

One critical challenge of designing an efficient prefetcher is to strike a balance between performance and hardware overhead. Some state-of-the-art prefetchers achieve very high performance at the price of a very large storage requirement, which makes them not amenable to hardware implementations in commercial processors. We argue that merging memory access patterns can be a feasible solution to reducing storage overhead while obtaining high performance, although no existing prefetchers, to the best of our knowledge, have succeeded in doing so because of the difficulty of designing an effective merging strategy. After analysis of a large number of patterns, we find that the address offset of the first access in a certain memory region is a good feature for clustering highly similar patterns. Based on this observation, we propose a novel hardware data prefetcher, named Pattern Merging Prefetcher (PMP), which achieves high performance at a low cost. The storage requirement for storing patterns is largely reduced and, at the same time, the prefetch accuracy is guaranteed by merging similar patterns in the training process. In the prefetching process, a strategy based on access frequencies of prefetch candidates is applied to accurately extract prefetch targets from merged patterns. According to the experimental results on a wide range of various workloads, PMP outperforms the enhanced Bingo by 2.6% with 30x lesser storage overhead and Pythia by 8.2% with 6x lesser storage overhead.

关键词： cache hardware data prefetching

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Non-Collusive Interest Flooding Attacks (NCIFA) in Named data Networks using Rocketfuel ISP topology 17

Non-Collusive Interest Flooding Attacks (NCIFA) in Named Dat...

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17th ieee International Conference on Advanced Networks and Telecommunications Systems, ANTS 2023

作者： Hurali, Lalitha Chinmayee M. Patil, Annapurna P. Gorahalli, Pavan V. Ramaiah Institute of Technology Department of Cse Bengaluru India Visvesvaraya Technological University Belagavi590018 India

ISBN: (纸本)9798350307672

Non Collusive Interest Flooding Attacks (NCIFA), a class of DDoS attacks have posed significant threat in Information Centric Networking (ICN) Paradigm based Named data Networks (NDNs). NDN have gained much popularity in content distribution due to their named data routing, in-network caching, and intrinsic security features. Applications such as web applications, multimedia, IoT, and vehicular networks have been benefitting from this ICN paradigm. This work performs an empirical analysis to understand the impact of Non-Collusive IFAs (NCIFA) in NDN using large-scale ISP-like topologies (Rocket-fuel) using the ndnSim simulation tool. The analysis is conducted at multi-levels involving the Content Consumers/clients (CCs), Content Routers (CRs) and Content Producers (CPs) using various applicable Quality of Service (QoS) metrics. The holistic study of characteristics of performance metrics under baseline and NCIFA DDoS attack scenarios help devise effective detection and mitigation strategies for NCIFA in NDN at the router and the interface level. © 2023 ieee.

关键词： Topology

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Preliminary Study on Task Division for UAV-Based Visual Inspection of large Structures with Multiple Flights Using 3D Urban Models

Preliminary Study on Task Division for UAV-Based Visual Insp...

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ieee/SICE International symposium on System Integration

作者： Masaya Haneda Yuki Funabora Shinji Doki Department of Information and Communication Engineering Graduate School of Engineering Nagoya University Nagoya Aichi Japan

ISBN: (数字)9798331531614

ISBN: (纸本)9798331531621

This paper addresses the problem of task division based on 3D urban models for visual inspection using a UAV with multiple flights. When inspecting large structures for damage detection, UAVs are often flown multiple times to obtain high-resolution data from all areas. Research is progressing on coverage path planning (CPP) methods for data collection in a single flight, and the 3D models of the target required for this can be readily obtained. However, the automation of task division for each flight has not been extensively studied. Because the scale of the target is large, it is necessary to execute a task division method that optimizes the performance efficiency of UAVs within a practical calculation time. This paper presents a task division method for data collection by multiple flights of a UAV based on the decomposition of the 3D urban models. Forming a framework in which data collection tasks are divided based on the 3D mesh decomposition, and then the CPP method is applied to each task, this enables efficient inspection of large-scale structures. In this paper, we implement three basic methods based on the strategies of avoiding going far, equalizing the amount of each task, and reducing unnecessary movement as preliminary research. Each method applies to objects on a scale of several hundred meters, and evaluates their performance in automated data collection.

关键词： visualization Solid modeling Three-dimensional displays Urban planning System integration data collection Inspection Autonomous aerial vehicles Planning Spatial resolution

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Sharing is Caring: Optimized Threat visualization for a Cybersecurity data Sharing Platform 20

Sharing is Caring: Optimized Threat Visualization for a Cybe...

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ieee 20th International symposium on Network Computing and Applications (NCA)

作者： Cassell, Adam Das, Tapadhir Black, Zachary Sadique, Farhan Schnebly, James Dascalu, Sergiu Sengupta, Shamik Springer, Jeff Univ Nevada Dept Comp Sci & Engn Reno NV 89557 USA

ISBN: (纸本)9781665495509

Cyberattacks are increasingly costing organizations billions of dollars annually. To protect against them, cybersecurity information sharing and cyberthreat visualization have become crucial research topics. Our platform, CYBersecurity information EXchange with Privacy (CYBEX-P), implements developments in both areas as an approachable collaborative security tool. CYBEX-P's threat-intelligence graph displays indicators of compromise and their crowd-reported threat levels. Intuitive and efficient data interaction is key for adoption of such a contributor-driven system and is the focus of this work. A user study was conducted with participants from cybersecurity backgrounds to test different visualization configurations. Measurements pertaining to dependent variables such as task accuracy and threat-detection time were recorded. Subsequent analysis revealed that relying on localized color to represent threat comes with serious limitations. Likewise, information density must be carefully considered. We conclude that the misuse of simple visual properties can lead to perilous reductions in accuracy and response-time and provide recommendations for avoiding these pitfalls.

关键词： Graph visualization cyberthreat investigation cybersecurity information sharing user study

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