InCrowd-VI: A Realistic Visual–Inertial Dataset for Evaluating Simultaneous Localization and Mapping in Indoor Pedestrian-Rich Spaces for Human Navigation by Marziyeh Bamdad, Hans-Peter Hutter, Alireza Darvishy

“…In addition, a semi-dense 3D point cloud of scenes is provided for each sequence. The evaluation of state-of-the-art visual odometry (VO) and SLAM algorithms on InCrowd-VI revealed severe performance limitations in these realistic scenarios. …”
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SDN Enhanced Resource Orchestration of Containerized Edge Applications for Industrial IoT by Jude Okwuibe, Juuso Haavisto, Erkki Harjula, Ijaz Ahmad, Mika Ylianttila

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Research on Wi-Fi indoor positioning technology based on knowledge graph by Jiandong LI, Jingjing YANG, Ming HUANG

“…Among the common Wi-Fi indoor positioning methods, most of the research focuses on the positioning accuracy, a little is on the application system to organize and process the existing indoor data efficiently in order to realize the indoor location service.To deal with these issues, the knowledge graph with the traditional indoor positioning technology was combined, and a practical positioning system was built with a variety of software development technologies.The system integrates the physical space and the information space.The information space includes indoor information acquisition, cloud services, information storage and computing parts.The physical space expresses the structure of the indoor space and data relationships.Finally, the WEBGL technology was used to display intuitive positioning and realize the visualization of indoor signal data and positioning results.The system has a complete data storage and use mechanism.After integrating the existing data information of the indoor internet of things equipment, it can provide users with room-level location services.The step-by-step positioning function of the system helps to reduce the time consumption of the system.…”
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Spatial Analysis of Urban Historic Landscapes Based on Semiautomatic Point Cloud Classification with RandLA-Net Model—Taking the Ancient City of Fangzhou in Huangling County as an... by Jiaxuan Wang, Yixi Gu, Xinyi Su, Li Ran, Kaili Zhang

“…A methodological framework is proposed, combining low-altitude UAV-derived high-density point cloud data with RandLA-Net for semi-automatic semantic segmentation of buildings, vegetation, and roads by integrating multispectral and geometric attributes. …”
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Novel UAV-based 3D reconstruction using dense LiDAR point cloud and imagery: A geometry-aware 3D gaussian splatting approach by Kai Qin, Jing Li, Sisi Zlatanova, Haitao Wu, Yin Gao, Yuchen Li, Sizhe Shen, Xiangjun Qu, Zhiyuan Yang, Zhenxin Zhang, Banghui Yang, Shaoyi Wang

“…Firstly, recognizing that existing LiDAR-supervised 3DGS methods are primarily utilized for optimizing Gaussian properties derived from Structure from Motion (SfM), we introduce a precise 3DGS initialization method that leverages highly accurate dense LiDAR point clouds precisely registered with imagery. By extracting depth, normal, and curvature information from the dense UAV LiDAR point cloud, we enhance geometric accuracy through geometric supervision in complex large-scale outdoor scenes. …”
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Enhanced education on geology by 3D interactive virtual geological scenes by Yuan Fang, Yuxin Li, Lei Fan

“…We utilized Potree, a free open-source web-graphics-library-based point cloud renderer designed for large point clouds, to create our virtual environment. …”
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Design and Application of an Energy Management System Based on Artificial Intelligence Technology by Hongye Lin, Xuanying Bai, Chun Li, Shenghan Xu, Haibin Xu, Zne-Jung Lee, Yun Lin, Qunshan Zhou, Jingxun Cai

“…The system adopts sensor technology and data acquisition equipment to monitor various types of energy consumption in buildings in real time, efficiently process and predict these data through machine learning algorithms, and finally visualize the results. The system is functionally complete, completing the process from data collection to visualization, the cloud platform’s construction, and finally a full energy management platform. …”
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DataLab as a Service: Distributed Computing Framework for Multi-Interactive Analysis Environments by Aida Palacio Hoz, Andres Heredia Canales, Ezequiel Cimadevilla Alvarez, Marta Obregon Ruiz, Alvaro Lopez Garcia

“…Through DLaaS, users gain access to cloud-based infrastructures and distributed computing resources, which are essential for performing compute-intensive tasks on massive datasets. …”
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A Grid-Based Hierarchical Representation Method for Large-Scale Scenes Based on Three-Dimensional Gaussian Splatting by Yuzheng Guan, Zhao Wang, Shusheng Zhang, Jiakuan Han, Wei Wang, Shengli Wang, Yihu Zhu, Yan Lv, Wei Zhou, Jiangfeng She

“…To address this, this paper proposes a novel grid-based scene-segmentation technique for the process of reconstruction. Sparse point clouds, acting as an indirect input for 3DGS, are first processed by Z-Score and a percentile-based filter to prepare the pure scene for segmentation. …”
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Shower–IoT: An Internet of Things System for Monitoring Electric Showers by Helder Holanda Prezotto, Natássya Barlate Floro da Silva, Lucas Dias Hiera Sampaio, Rogério Santos Pozza

“…The results demonstrate that our system can monitor an electric shower integrated with cloud services, allowing the users to visualize its behavior in real time and detect possible failures by comparing sensor data from previous evaluations.…”
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Design and Implementation of Quadruped Robot Remote Monitoring Platform by ZHAO Zongju, WANG Xigui

“…Taking the quadruped robot developed by ROS as the research object, the analysis and design of the robot remote monitoring system on the cloud platform is carried out. The overall system is composed of two parts: data communication subsystem and background management subsystem. …”
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Industrial IoT-Based Energy Monitoring System: Using Data Processing at Edge by Akseer Ali Mirani, Anshul Awasthi, Niall O’Mahony, Joseph Walsh

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Enhancing Gen3 for clinical trial time series analytics and data discovery: a data commons framework for NIH clinical trials by Meredith C. B. Adams, Meredith C. B. Adams, Meredith C. B. Adams, Colin Griffin, Hunter Adams, Stephen Bryant, Robert W. Hurley, Robert W. Hurley, Robert W. Hurley, Umit Topaloglu, Umit Topaloglu

“…We describe the technical implementation of cloud-native architecture and integrated visualization tools that enable standardized analytics for longitudinal clinical trial data while adhering to FAIR principles. …”
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Perser, Meder und Parther im Spiegel der Quellen by Oliver Bräckel

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Research on the Estimation Model of Electrical Parameters of Silver-Based Contacts Based on Surface Morphology by Chao Wang, Xiancheng Wang, Chengjun Guo

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An Arthroscopic Robotic System for Meniscoplasty with Autonomous Operation Ability by Zijun Zhang, Yijun Zhao, Baoliang Zhao, Gang Yu, Peng Zhang, Qiong Wang, Xiaojun Yang

“…To address the issue of limited visual fields during the operation, this study used the preoperative and intraoperative meniscus point cloud images for surgical navigation and proposed a novel cross-modal point cloud registration framework. …”
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RELEVANT TOPICS IN THE FINANCIAL WELL-BEING LITERATURE by MONICA ROSCIANO, MARIA GRAZIA STARITA

“…The content of the topics was visualized by a word cloud and labeled. A narrative approach was used to provide an interpretation for each topic. …”
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EGNet: 3D Semantic Segmentation Through Point–Voxel–Mesh Data for Euclidean–Geodesic Feature Fusion by Qi Li, Yu Song, Xiaoqian Jin, Yan Wu, Hang Zhang, Di Zhao

“…In the Euclidean branch, the features extracted from point cloud data compensate for the detail features lost by voxel data. …”
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Geographic information system and information visualization capacity building: Successful polio eradication and current and future challenges in the COVID-19 era for the World Heal... by John Kapoi Kipterer, Kebba Touray, Akpan Ubong Godwin, Aboubakar Cisse, Babona Nshuti Marie Aimee, Ngobe Busisiwe, Chefor Ymele Demeveng Derrick, Green Hugh Henry, Ndoutabe Modjirom, Vince Seaman, Jamal Ahmed

“…The AFRO GIS comprises a set of mobile device or cloud-based tools for geospatial data collection, analysis, and visualization. …”
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Traffic Noise Absorption and Propagation in A Three-Dimensional Spatial Environment by Nevil Vidyamanee Wickramathilaka, Uznir Ujang, Suhaibah Azri, Tan Liat Choon, Attygalage Ranjith Rupasinghe

“…The side scan and nadir scan from the LiDAR survey were used to detect the tree canopy points cloud. The voxel-based, convex hull, and concave hull methods are used to visualize tree canopies in three-dimensional (3D). …”
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