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15th International Joint conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020

15th International Joint Conference on Computer Vision, Imag...

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15th International Joint conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020

ISBN: (纸本)9783030948924

The proceedings contain 25 papers. The special focus in this conference is on Computer Vision, Imaging and Computer Graphics Theory and Applications. The topics include: Efficient Range Sensing Using Imperceptible Structured Light;Hierarchical Object Detection and Classification Using SSD Multi-Loss;scene Text Localization Using Lightweight Convolutional Networks;early Stopping for Two-Stream Fusion Applied to Action Recognition;RGB-D Images Based 3D Plant Growth Prediction by Sequential Images-to-Images Translation with Plant Priors;ConvPoseCNN2: Prediction and Refinement of Dense 6D Object Pose;expression Modeling Using Dynamic Kernels for Quantitative Assessment of Facial Paralysis;perceptually-Informed No-Reference Image Harmonisation;On-board UAV Pilots Identification in Counter UAV Images;skeleton-and-Trackball Interactive Rotation Specification for 3D Scenes;Exploring Tele-Assistance for Cyber-Physical Systems with MAUI;On the Use of 3D CNNs for Video Saliency Modeling;CNN-Based Deblurring of THz Time-Domain Images;thermal Image Super-Resolution: A Novel Unsupervised Approach;regression-Based 3D Hand Pose Estimation for Human-Robot Interaction;detection and Recognition of Barriers in Egocentric Images for Safe Urban Sidewalks;CSG Tree Extraction from 3D Point Clouds and Meshes Using a Hybrid Approach;intention Understanding for Human-Aware Mobile Robots: Comparing Cues and the Effect of Demographics;tracking Eye Movement for Controlling Real-Time Image-Abstraction Techniques;improving Deep Learning Projections by Neighborhood analysis;scalable visual exploration of 3D Shape databases via Feature Synthesis and Selection;visual analysis of Linked Musicological data with the musiXplora;a Research-Teaching Guide for visual data analysis in Digital Humanities.

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19th IFIP WG 12.5 International conference on Artificial Intelligence Applications and Innovations, AIAI 2023

19th IFIP WG 12.5 International Conference on Artificial Int...

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19th IFIP WG 12.5 International conference on Artificial Intelligence Applications and Innovations, AIAI 2023

ISBN: (纸本)9783031341700

The proceedings contain 129 papers. The special focus in this conference is on Artificial Intelligence Applications and Innovations. The topics include: Generating Synthetic Vehicle Speed Records Using LSTM;Measuring the State-Observation-Gap in POMDPs: An exploration of Observation Confidence and Weighting Algorithms;predicting Colour Reflectance with Gradient Boosting and Deep Learning;the Importance of the Current Input in Sequence Modeling;towards Historical Map analysis Using Deep Learning Techniques;analysis of the Lingering Effects of Covid-19 on Distance Education;exploring the Power of Failed Experiences in Case-Based Reasoning for Improved Decision Making;improving Customer Experience in Call Centers with Intelligent Customer-Agent Pairing;a Sharpe Ratio Based Reward Scheme in Deep Reinforcement Learning for Financial Trading;mind the Gap: Addressing Incompleteness Challenge in Case-Based Reasoning Applications;Sentiment analysis of Tweets on Online Education during COVID-19;image Classification Using Class-Agnostic Object Detection;Ince-PD Model for Parkinson’s Disease Prediction Using MDS-UPDRS I & ii and PDQ-8 Score;medical Knowledge Extraction from Graph-Based Modeling of Electronic Health Records;Predicting ALzheimer's Disease with AI and Brain Imaging data;Pre-trained Model Robustness Against GAN-Based Poisoning Attack in Medical Imaging analysis;semi-supervised Brain Tumor Segmentation Using Diffusion Models;A Methodology for Emergency Calls Severity Prediction: From Pre-processing to BERT-Based Classifiers;a Temporal Metric-Based Efficient Approach to Predict Citation Counts of Scientists;algorithmic Forex Trading Using Q-learning;Comparing Vectorization Techniques, Supervised and Unsupervised Classification Methods for Scientific Publication Categorization in the UNESCO Taxonomy;decoding Customer Behaviour: Relevance of Web and Purchasing Behaviour in Predictive Response Modeling;exploring Pairwise Spatial Relationships for Actions Recognition and

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Completing the Production Logging Puzzle Through data-Driven Integrative analysis

Completing the Production Logging Puzzle Through Data-Driven...

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Offshore Technology conference, OTC 2022

作者： Bari, Abdul Rasheed Khan, Mohammad Zubair, Talha Atiq, Mustafa Shahid, Muhammad Hasan Awase, Azar Tanveer, Muhammad Sohaib Sarili, Mahmut Panhwar, Aadil Ahmed, Qazi Ismail Arsalan Ullah, Hafiz Muhammad Schlumberger United States United Energy Pakistan Pakistan

ISBN: (纸本)9781613998526

In response to the highly volatile industry situation post-Covid19, E&P companies are abandoning or delaying exploration projects. It is anticipated that to meet growing energy demand in the future, it would require robust reservoir surveillance to improve individual well productivity. Production logging plays a key role in developing reservoir flow characterization and its integration with multiple data sources can allow for a holistic well dynamic description, leading to production enhancement on a well-by-well basis. Multiple case studies are presented in this work that propose a data-driven, integrated workflow which combines production logging data with plethora of under-utilized data sources to constitute an investigative analysis to solve water production conundrum. The workflow developed as part of this work incorporates three distinct stages. Firstly, an in-depth data analysis is conducted utilizing all historical production data/trends and well events to link it with water production as each will have its distinct impact on the type of production logging tools/techniques that would be deployed on the subject well to achieve job objectives. Secondly, real-time production logging is conducted to ensure job objectives as defined in stage one is being met which is crucial to the resultant wellbore zonal profiling. Finally, once the production log visual representation is created, various other open-hole petrophysical and cased-hole well integrity logs are analyzed to make sense of the derived results and suggest reasoning to the state of the reservoir production pertaining to producing water. The case studies discussed in this paper include the use of petrophysical logs, MDT formation testing data, ultrasonic cement evaluation logs, and production log time-lapse analysis. Integrating various data sources with production log analysis allowed for establishment of water production sources in the various case studies discussed. In one case, production related ambi

关键词： Cements

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19th IFIP WG 12.5 International conference on Artificial Intelligence Applications and Innovations, AIAI 2023

19th IFIP WG 12.5 International Conference on Artificial Int...

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19th IFIP WG 12.5 International conference on Artificial Intelligence Applications and Innovations, AIAI 2023

ISBN: (纸本)9783031341106

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Towards visual Sociolinguistic Network analysis 16

Towards Visual Sociolinguistic Network Analysis

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16th International Joint conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) / 12th International conference on Information visualization Theory and Applications (IVAPP)

作者： Kucher, Kostiantyn Fatemi, Masoud Laitinen, Mikko Linnaeus Univ Dept Comp Sci & Media Technol Vaxjo Sweden Linnaeus Univ Ctr Data Intens Sci & Applicat Vaxjo Sweden Univ Eastern Finland Sch Comp Kuopio Finland Univ Eastern Finland Sch Humanities English Kuopio Finland

ISBN: (纸本)9789897584886

Investigation of social networks formed by individuals in various contexts provides numerous interesting and important challenges for researchers and practitioners in multiple disciplines. Within the field of variationist sociolinguistics, social networks are analyzed in order to reveal the patterns of language variation and change while taking the social, cultural, and geographical aspects into account. In this field, traditional approaches usually focusing on small, manually collected data sets can be complemented with computational methods and large digital data sets extracted from online social network and social media sources. However, increasing data size does not immediately lead to the qualitative improvement in the understanding of such data. In this position paper, we propose to address this issue by a joint effort combining variationist sociolinguistics and computational network analyses with information visualization and visual analytics. In order to lay the foundation for this interdisciplinary collaboration, we analyse the previous relevant work and discuss the challenges related to operationalization, processing, and exploration of such social networks and associated data. As the result, we propose a roadmap towards realization of visual sociolinguistic network analysis.

关键词： Social Networks Social Media Variationist Sociolinguistics Social Network analysis Network visualization Text visualization visual Analytics Information visualization

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Cloud-Based Flight Test data Management and Application Platform

Cloud-Based Flight Test Data Management and Application Plat...

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Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC), International conference on

作者： Haifeng Wang Chinese Flight Test Establishment AVIC Xi'an China

ISBN: (数字)9798331530280

ISBN: (纸本)9798331530297

Flight test generates massive flight test data. At this stage, in view of the difficulties in lookup specific data, the lack of correlation with flight test tasks, and the problem that data cannot be saved for a long time, this paper proposes a flight test data asset management and application framework based on cloud computing. With the dynamic allocation of cluster computing and storage resources of the virtualization platform, an integration framework for flight test data management and application is constructed, which has the functions of high speed download, persistent storage, business perspective classification and configuration analysis of the flight test data. It also has the functions of data quality inspection and sharing through selfdefined regulation database. Based on the development of flight test data management and application framework, the download, analysis, calculation and comparative analysis of flight test data are realized. Also, the visual playback of the whole process can be realized by means of 3D map and simulation instrument. The fully exploration of the value of flight test data is finally achieved.

关键词： Cloud computing visualization Three-dimensional displays Scalability Regulation Real-time systems Security Resource management Virtualization Business

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19th IFIP WG 12.5 International conference on Artificial Intelligence Applications and Innovations, AIAI 2023

19th IFIP WG 12.5 International Conference on Artificial Int...

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19th IFIP WG 12.5 International conference on Artificial Intelligence Applications and Innovations, AIAI 2023

ISBN: (纸本)9783031341069

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ARSENIC GAS CONTENT ON GEOTHERMAL AREA PART ii: HEAT SOURCE ZONE analysis ON FIELD "K" 28

ARSENIC GAS CONTENT ON GEOTHERMAL AREA PART II: HEAT SOURCE ...

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28th European Meeting of Environmental and Engineering Geophysics, Held at the Near Surface Geoscience conference and Exhibition 2022, NSG 2022

作者： Taufiq, T. Pertamina Indonesia

ISBN: (纸本)9789462824256

Geothermal fluid carries the heavy metal elements to the surface, one of which is arsenic (As). Arsenic can be found naturally in the earth crust, exist on soil and mineral then can be enter on air, water, and surface environment. In the form of gases, Arsenic are associated with temperature of rock, a volatile element, and which only release on high temperature. In this research, with previous result of arsenic gas distribution on Field "U", we would like to analysis the arsenic gas content based on acquisition with a new instrument of Pertamina (we called it magmatic gas catcher) to adsorb arsenic gas on borehole vacuum pipe. The result of arsenic (As) gas distribution then correlated with subsurface temperature map (from log data) to determine a heat source zone that the prospect of reserves and source energy of geothermal. © 2022 NSG. All Rights Reserved.

关键词： Gases

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Exclusion Vis: A visual Interactive System for Exclusion analysis in Life Insurance Using Machine Learning Techniques

Exclusion Vis: A Visual Interactive System for Exclusion Ana...

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International conference on Behavior, Economic and Social Computing (BESC)

作者： Md Rafiqul Islam Lam Nguyen Thanh Thao Shanjita Akter Prome Md. Kowsar Hossain Sakib Cesar Sanin Guandong Xu Weidong Huang Information Systems Australian Institute of Higher Education Sydney Australia College of Business & Management UinUniversity Vietnam School of Computer Science Taylors University Malaysia Data Science Institute University of Technology Sydney Australia TD School University of Technology Sydney Australia

ISBN: (数字)9798331531904

ISBN: (纸本)9798331531911

Exclusion analysis in life insurance stands out as a crucial task in minimizing customer risks. Numerous insur-ance companies have implemented artificial intelligence (AI) solutions to streamline processes and mitigate customer-related risks, specifically leveraging machine learning (ML) technolo-gies. While some studies have acknowledged its significance, there needs to be more to deliver comprehensive research on exclusion analysis utilizing advanced techniques. Thus, this paper focuses on exclusion classification blending with visual interactive systems (Vis), aiming to comprehend data obtained from customer disclosure information. To tackle this challenge, 1) we initiate the investigation by employing various multi-label classifiers, 2) apply several ML techniques, utilizing data from a prominent Australian insurance company, where support vector classification (SVC) and random forest (RF) emerges as the superior performer, and 3) we introduce a visual interactive system called Exclusion Vis, meticulously crafted to facilitate in-depth exploration of the obtained results. The evaluation of Exclusion Vis further underscores its superiority compared to existing systems.

关键词： Industries visualization Social computing Interactive systems Insurance Static VAr compensators Vectors Classification algorithms Risk management Random forests

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ChimpACT: A Longitudinal dataset for Understanding Chimpanzee Behaviors 37

ChimpACT: A Longitudinal Dataset for Understanding Chimpanze...

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37th conference on Neural Information Processing Systems (NeurIPS)

作者： Ma, Xiaoxuan Kaufhold, Stephan P. Su, Jiajun Zhu, Wentao Terwilliger, Jack Meza, Andres Zhu, Yixin Rossano, Federico Wang, Yizhou Peking Univ Sch Comp Sci CFCS Beijing Peoples R China Univ Calif San Diego Dept Cognit Sci La Jolla CA 92093 USA Peking Univ Inst Artificial Intelligence Beijing Peoples R China Natl Engn Res Ctr Visual Technol Beijing Peoples R China PKU WUHAN Inst Artificial Intelligence Wuhan Peoples R China

ISBN: (纸本)9781713899921

Understanding the behavior of non-human primates is crucial for improving animal welfare, modeling social behavior, and gaining insights into distinctively human and phylogenetically shared behaviors. However, the lack of datasets on non-human primate behavior hinders in-depth exploration of primate social interactions, posing challenges to research on our closest living relatives. To address these limitations, we present ChimpACT, a comprehensive dataset for quantifying the longitudinal behavior and social relations of chimpanzees within a social group. Spanning from 2015 to 2018, ChimpACT features videos of a group of over 20 chimpanzees residing at the Leipzig Zoo, Germany, with a particular focus on documenting the developmental trajectory of one young male, Azibo. ChimpACT is both comprehensive and challenging, consisting of 163 videos with a cumulative 160,500 frames, each richly annotated with detection, identification, pose estimation, and fine-grained spatiotemporal behavior labels. We benchmark representative methods of three tracks on ChimpACT: (i) tracking and identification, (ii) pose estimation, and (iii) spatiotemporal action detection of the chimpanzees. Our experiments reveal that ChimpACT offers ample opportunities for both devising new methods and adapting existing ones to solve fundamental computer vision tasks applied to chimpanzee groups, such as detection, pose estimation, and behavior analysis, ultimately deepening our comprehension of communication and sociality in non-human primates.

关键词： Social behavior

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