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Construction and Application of Multi-modal Knowledge Graph for Collection of Cultural Relics 2

Construction and Application of Multi-modal Knowledge Graph ...

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2nd International conference on Image Processing and Media Computing, ICIPMC 2023

作者： Liu, Bowei Zhao, Wanqing Wang, Jun Yan, Jing Peng, Jinye Northwest University Xi'an China Shaanxi Academy of Archaeology Xi'an China

ISBN: (纸本)9798350326611

In recent years, computer technology has advanced significantly and more and more museums have begun to prioritize digital protection of cultural relics, achieving fruitful results. However, the digital resources of these relics are often stored in document or relational database forms, and displayed on the museum website using basic division methods. Moreover, each cultural relic collection holds its own unique knowledge points and there must be rich associations between them due to certain commonalities, which cannot be fully applied by existing preservation techniques. Multi-modal Knowledge Graphs (MMKG) have undergone years of development and have achieved significant results and widespread applications. Although China has abundant multi-modal data on cultural relics, there is limited exploration of MMKG in the field of cultural relics. Therefore, this paper proposes to construct a MMKG for museum relics, RelicMMKG, to mine the information contained in the multimodal digital resources of museum relics. This includes using the BERT-BiLSTM-CRF model to identify multiple types of entities in the relic text introduction and using image descriptors to extract and calculate the similarity of visual features in the relic image data. Furthermore, based on the RelicMMKG and structured text and image data, a multifunctional application system is implemented to better explore the correlation between cultural relics, enabling efficient excavation and application of cultural relics data in the museum. © 2023 IEEE.

关键词： Modal analysis

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Metrology and visual analysis Based on the Development Trend of Discipline Research in Colleges and Universities Promote the Discipline Service 2021

Metrology and Visual Analysis Based on the Development Trend...

引用

2nd International conference on Education Development and Studies (ICEDS)

作者： Wang, Yuenan Lou, Xiaona Han, Xuedan Wei, Danmei Liu, Hongbin Tianjin Univ Res Support Ctr Tianjin Univ Lib Tianjin 300350 Peoples R China

ISBN: (纸本)9781450389617

Through the methods of Metrology and visualization analysis, the paper reveals the papers published by the School of Pharmaceutical Science and Technology of Tianjin University in 2010-2019, reflects the development trend and research hotspot of the discipline research of the school. Based on a variety of data and tools used in Web of Science, Incites and ESI to evaluate scientific research performance, this paper makes a quantitative statistical analysis on the papers, cooperative institutions, research fields and funds. The software of CiteSpace is used to draw the knowledge map and visual analysis of high-frequency keywords is conducted.

关键词： Development Trend Metrology visual analysis CiteSpace Discipline Service

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exploration and Practice of data visualization 24

Exploration and Practice of Data Visualization

引用

Proceedings of the 2024 5th International conference on Big data Economy and Information Management

作者： Gongzheng Yu Shaowu Yang College of Computer Science and Technology National University of Defense Technology Changsha Hunan China

ISBN: (纸本)9798400711862

Currently, data visualization is widely used in industries such as smart city display, rail transit monitoring and network traffic analysis, public opinion analysis. The data sources are relatively stable and the data formats are relatively regular. However, in some scenarios, the data is relatively scattered and of low quality, and there is limited introduction to the entire process of collecting, circulating, and aggregating this data into visual applications. Based on this, a comprehensive implementation method for metadata collection, raw data aggregation, and data visualization was explored and practiced, and a clear and scalable solution was proposed, from the backend to the frontend, the ideas and methods of data collection and aggregation, as well as the methods of building websites using the Django framework and implementing typical visualization applications using Echarts tools, were introduced.

关键词： data aggregation

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Successful Delivery of Top Quartile Drilling Performance for Multiple Extended-Reach Wells Using an Integrated Multidisciplinary and Novel Operational Excellence Approach in Malaysia

Successful Delivery of Top Quartile Drilling Performance for...

引用

2025 International Petroleum Technology conference, IPTC 2025

作者： Abdelaal, Khaled Elamparuthi, Ramane Sidek, Rosli vasquez, Jorge Cheng, Chuah Fong, Wai Lim Kaur, Palvinderdev Knight, Andy Balasingam, Kulandra Halliburton Kuala Lumpur Malaysia Hess Exploration and Production Malaysia B.V. Kuala Lumpur Malaysia The REACH Group Kuala Lumpur Malaysia Velesto Energy Berhad Kuala Lumpur Malaysia

ISBN: (纸本)9781959025436

Long-extended-reach drilling (ERD) wells have become necessary to reach untapped resources. The successful implementation of an integrated multidisciplinary approach to plan and execute multiple ERD wells is discussed in addition to how the culture of continuous improvement and operational excellence between all parties resulted in top quartile performance and proved proper planning can push the boundaries and provide confidence to safely drill even deeper. An integrated plan was constructed using holistic offset well data analysis to identify improvement opportunities. The on-bottom rate of penetration (ROP) is rarely the key to performance in ERD wells;it's about safely and consistently drilling a quality hole. A detailed geomechanical study was undertaken to better understand the stress regime and rock mechanics. Optimal mud weight recommendations were provided to achieve a better wellbore quality and improve ROP. Advanced rotary steerable system (RSS) drilling with real-time analytics monitoring were used to track performance and equivalent circulating density (ECD) changes as well as other drilling parameters. The subject well was the longest of any well drilled in the operating block by far. Success involved implementation of technically modeled engineered solutions and customized operational procedures, including but not limited to optimized connections and backreaming practices to ensure removal of fine residual drilled cuttings. Dynamic and enhanced ROP road maps were used to ensure maximum cutting loads were below 3% at all the times across the wellbore. Optimized fluid rheology helped improve hole cleaning with minimum tendency of barite sagging. The integrated approach was successfully trial tested on a shorter ERD well to validate the concept. Later, the project team drilled the longest ERD well to 19, 800 ft with an ERD ratio of 3.2, and maintained, good hole quality, proven by a smooth BHA trip out of hole at well TD with no tight spots. Hole cleaning

关键词： Gasoline

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visual Analytics and exploration of Calcium Transient Imaging data using Event-Based Clustering

Visual Analytics and Exploration of Calcium Transient Imagin...

引用

IEEE International conference on Big data

作者： Shiaofen Fang Michal Lange Haoying Fu Yingying Chen Yaoying Ma Luddy School of Informatics Computing and Engineering Indiana University Indianapolis IN USA Department of Computer & Information Science Purdue University Indianapolis Department of Pharmacology and Toxicology School of Medicine Indiana University Indianapolis IN USA Department of Pharmacology and Toxicology Stark Neuroscience Institute School of Medicine Indiana University Indianapolis IN USA

Advances in imaging technology and fluorescent calcium indicators have increased the popularity of the application of miniature microscopes (miniscope) in freely-moving rodents when they are performing sophisticated behaviors. The recently established analysis tools, such as Minian, allow for the efficient extraction of neuronal calcium transients from raw videos. However, there is still a gap in front of neuroscientists to draw any conclusions based on the neuronal calcium signals detected during behavioral tests. The poor signal-to-noise ratio and unreliable neuron registration in miniscope images bring significant challenges to the data analysis tasks. This paper describes a visual analytics approach to the exploration of potential neuronal clustering based on the calcium signals and the behavioral tasks. This new interactive solution can be applied for the analysis and exploration of the correlations between calcium imaging data and addiction behavioral data using a combination of visualization, user interaction, visual clustering, and event-related feature selection techniques. The associated interactive software tool is designed to help neuroscientists develop neurobiological hypotheses underlying both physiological and pathological behaviors, which could be a milestone in the field of neuroscience to understanding behavioral coding in the brain at the neuronal level.

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Multimodal Emotion analysis Using Integrating NLP, AI, and Facial Expression Recognition for Enhanced Emotion Detection

Multimodal Emotion Analysis Using Integrating NLP, AI, and F...

引用

2024 IEEE International conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2024

作者： Babu, Alby Dharshini, T. Gayathry Krishnan, v.S. Ummu Haiman, v.P. Joseph, Annie Julie Rajesh, K.R. College of Engineering Poonjar Computer Science and Engineering Kottayam India

ISBN: (纸本)9798350376135

This paper introduces SAGA (Smart AI Guided Assistant), a pioneering Artificial Intelligence (AI) personal assistant that integrates advanced Emotional Intelligence (EI) capabilities with sophisticated Natural Language Processing (NLP) techniques. Designed to function as an interactive companion, SAGA offers comprehensive task management and support, paralleling existing personal assistants, yet distinguishes itself through its ability to understand and respond to user emotions. By leveraging cutting-edge methodologies in emotion detection, speech analysis, and NLP, SAGA accurately interprets user emotions, thus providing personalized emotional support. Furthermore, SAGA's multi-modal interaction capabilities, which encompass both voice commands and audio-visual feedback, facilitate seamless communication with users. This paper delineates the architecture, development process, and evaluation metrics of SAGA, thereby underscoring its potential to transform the AI personal assistant landscape by prioritizing emotional intelligence and fostering user-centric interactions. © 2024 IEEE.

关键词： Emotion Recognition

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EvRACE: Enhanced visual Retrieval and analysis for Large-Scale E-Bike Charging Curve exploration

EVRACE: Enhanced Visual Retrieval and Analysis for Large-Sca...

引用

IEEE International conference on Big data

作者： Saisai Hu Ji Zhang Zhao Li Donghui Ding Dong Liu Zhijun Pan Jiale Dong School of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China University of Southern Queensland Towoomba Australia Hangzhou Yugu Technology Co. Ltd. Hangzhou China

ISBN: (数字)9798350362480

ISBN: (纸本)9798350362497

This Paper introduces a novel Enhanced visual Retrieval and analysis for Charging Efficiency (EvRACE) system, which presents a novel two-stage framework for visual retrieval and advanced analytics for massive charging curves of electric vehicles. The EvRACE is becoming an important system for enhancing battery performance management, detecting and mitigating charging anomalies, and informing strategic decision-making for stakeholders in the Ev ecosystem. EvRACE utilizes deep time-series clustering to categorize charging curves with distinct characteristics and retrieves the most relevant cluster and the top k curves for comprehensive data analysis and risk assessment. This innovative framework substantially enhances retrieval efficiency, mitigates computational complexity, and offers a robust solution for real-time processing of large-scale charging data. validation using real-world datasets demonstrates that the EvRACE system significantly improves retrieval efficiency and achieves high accuracy in anomaly detection compared to traditional methods.

关键词： Industries visualization Accuracy Pipelines Electric vehicles Real-time systems Safety Risk management Stakeholders Reliability

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The Role of Generative AI in Deepfake Detection: A Systematic Literature Review

The Role of Generative AI in Deepfake Detection: A Systemati...

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International conference on Smart Business and technology, ICSBT 2024

作者： Acim, Btissam Kharmoum, Nassim Lagmiri, Souad Najoua Ziti, Soumia Department of Computer Science Intelligent Processing & Security of Systems Faculty of Sciences Mohammed V University in Rabat Rabat Morocco Rabat Morocco IT Networking Security and Management Laboratory Higher Institute of Management Administration and Computer Engineering Rabat Morocco

ISBN: (纸本)9783031866975

There is a possibility that deepfakes will increase a great deal of false information in a very realistic way, but it seems that today such technology appears to be extremely dangerous. While generative Artificial Intelligence (AI) does expand possibilities and give an opportunity to achieve terrific outcomes and has innumerable potential uses. This systematic literature review focuses on the role of generative AI in the improvement of deepfake detection technologies, providing a comparison between different methods and assessing their effectiveness. By analyzing recent studies, it depicts the techniques employed most frequently in deepfake detection, such as the ones concentrating on the intricacies between the visual and auditory elements, the temporal domains, as well as any minor signs of alteration. Due to the fact that generative AI is rapidly improving, the methods that are used to detect its use are often inadequate, which calls for more studies on the subject matter. Besides, by combining audio and visual elements when performing the analysis, calling it as a method that can be useful in focusing the detection growth potential with diverse and unstructured data. Also, this study evaluates the advantages and limitations of the techniques existing today and demonstrates their relative effectiveness in controlled and real conditions. Clarifying that measures aimed at detecting AI generated content should be preoccupied with a technique that is able to keep pace with changes in generative AI. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Generative adversarial networks

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TimeElide: visual analysis of Non-Contiguous Time Series Slices

TimeElide: Visual Analysis of Non-Contiguous Time Series Sli...

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IEEE visualization conference (IEEE vIS)

作者： Oppermann, Michael Liu, Luce Munzner, Tamara Univ British Columbia Vancouver BC Canada

ISBN: (纸本)9781665433358

We introduce the design and implementation of Time-Elide, a visual analysis tool for the novel data abstraction of non-contiguous time series slices, namely time intervals that contain a sequence of time-value pairs but are not adjacent to each other. This abstraction is relevant for analysis tasks where time periods of interest are known in advance or inferred from the data, rather than discovered through open-ended visual exploration. We present a visual encoding design space as an underpinning of TimeElide, and the new sparkbox technique for visualizing fine and coarse grained temporal structures within one view. datasets from different domains and with varying characteristics guided the development and their analysis provides preliminary evidence of TimeElide's utility. We provide open-source code and demo at https://***/UBC-Infovis/time-elide and supplemental materials at https://***/yqvmf/.

关键词： Human-centered computing visualization visualization systems and tools

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Innovation in Figure Skating Through Technological Transformation: IoT exploration for Real-Time Refereeing

Innovation in Figure Skating Through Technological Transfor...

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International conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023

作者： Bustamante-v, Diego-F Ramirez, Ma-Elisa Peralta-Zurita, Diana-Belen Llanes-Cedeño, Edilberto-Antonio Molina-Osejos, Jaime-vinicio Universidad Internacional SEK del Ecuador Quito Ecuador

ISBN: (纸本)9783031692277

Figure skating is a sport that fuses technical skill, creativity, and artistic expression. The qualification in this sport is based on the judges’ perception of the elements observed, despite using audiovisual means to record and reproduce the pirouettes in slow motion, the impartiality and visual acuity of the evaluators re-main essential. This research aims to analyze the forces involved in a specific fig-ure skating maneuver: "Right Back Outside Pirouette". The contribution to the re-search is to reduce evaluation times and delivery of reliable results by integrating all the variables of the pirouette using sensors and IoT, evidencing the skater’s failures in 20 ms, compared to traditional arbitration methodologies that go in an average of 30 min. The evaluation focused on the selection of a suitable IoT module, the calibration of a force sensor, tests with a professional skater, and the evaluation of the results. data extraction was done using an IMU inertial measurement unit with the MPU 9250 module, in addition to a DF9-40 resistive force sensor, involving the correct placement of the device on the skate, as well as effective processing and transmission of the information. The device is developed using low-cost components and a data transmission design through IoT for processing and conversion into pressure and acceleration values. During tests carried out at a professional skating rink in Ecuador. The main result was that forces were recorded that ranged between 280 and 350 psi. These results were com-pared with the forces generated during other movements in figure skating, which allowed us to identify distinctive movement patterns in the pirouette. This information provides valuable guidance for evaluating and qualifying skaters with different levels of experience. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Skating rinks

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