Article
Computer Science, Information Systems
Chanxin Zhou, Bang Wang
Summary: This article introduces an online collaborative localization (OCLoc) scheme that can enhance fingerprinting-based localization accuracy and reduce errors by leveraging simultaneous observations from multiple users, using received signal strength for localization, and optimizing the localization system through collaborative calibration.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Automation & Control Systems
Yufeng Yue, Chunyang Zhao, Zhenyu Wu, Chule Yang, Yuanzhe Wang, Danwei Wang
Summary: The article proposes a novel hierarchical collaborative probabilistic semantic mapping framework that combines single robot level semantic point cloud with collaborative robot level global semantic map fusion. An expectation-maximization approach is used to estimate hidden data association, followed by Bayesian rule for semantic and occupancy probability update. Experimental results demonstrate high quality of global semantic maps on unmanned aerial vehicle and unmanned ground vehicle platforms, showcasing accuracy and utility in practical missions.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2021)
Article
Computer Science, Artificial Intelligence
Eric Guerrero-Font, Francisco Bonin-Font, Miguel Martin-Abadal, Yolanda Gonzalez-Cid, Gabriel Oliver-Codina
Summary: This article introduces a new methodology to ease data-gathering operations in Posidonia oceanica meadows for benthic mapping using lightweight autonomous vehicles and image processing. It employs a convolutional neural network (CNN) and a sparse Gaussian Process (GP) to automatically segment images and map uncertainty linked to the spatial distribution of seagrass. Performance validation results based on data acquired in three field tests are presented.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Cybernetics
Tianyu Wang, Dong Ge
Summary: This study is an innovative research on intelligent online language teaching, utilizing collaborative filtering algorithm to recommend online Chinese learning resources that meet learners' and teachers' needs. It aims to assist learners and teachers in efficiently searching and analyzing various learning resources, providing personalized results based on machine learning and big data analysis.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Engineering, Electrical & Electronic
Fei Song, Yuyin Ma, Zhenhui Yuan, Ilsun You, Giovanni Pau, Hongke Zhang
Summary: This article introduces a system called Reliable Decentralized Networks (RDN) based on smart collaborative theory to enhance content privacy protection in the IoT environment. The article explores possible solutions to create a compatible IoT environment when massive data packets are exposed and shared in complex scenarios.
IEEE COMMUNICATIONS MAGAZINE
(2023)
Article
Computer Science, Information Systems
Ikrom Nishanbaev, Erik Champion, David A. McMeekin
Summary: In recent years, cultural heritage institutions globally have made significant efforts to digitise cultural heritage for digital preservation and online representation. Web-GIS has shown great potential for disseminating cultural heritage data, but the heterogeneous nature of the data remains a challenge. Many institutions are adopting linked data principles to enhance interoperability and structure within the cultural heritage domain.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Review
Chemistry, Multidisciplinary
Abdessalem Achour, Hiba Al-Assaad, Yohan Dupuis, Madeleine El Zaher
Summary: This paper provides an overview of semantic mapping for a single mobile robot in indoor environments and focuses on collaborative mobile semantic mapping. By integrating semantic knowledge with geometric representation, robots can perform basic tasks and make decisions based on the context of the environment.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Artificial Intelligence
Weizhuo Li, Qiu Ji, Songmao Zhang, Xuefeng Fu, Guilin Qi
Summary: Discovering semantic relationships among heterogeneous ontologies has been a core research topic in the Semantic Web. This paper proposes a graph-based interactive mapping revision method to reduce manual efforts and improve efficiency. Experimental evaluation shows that this method is more time-saving compared to other methods in most cases.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Chemistry, Multidisciplinary
Sunghwan Kim, Ehren C. Bucholtz, Kristin Briney, Andrew P. Cornell, Jordi Cuadros, Kristen D. Fulfer, Tanya Gupta, Evan Hepler-Smith, Dean H. Johnston, Andrew S. I. D. Lang, Delmar Larsen, Ye Li, Leah R. McEwen, Layne A. Morsch, Jennifer L. Muzyka, Robert E. Belford
Summary: The paper introduces the Cheminformatics Online Chemistry Course (OLCC) organized by the Committee on Computers in Chemical Education (CCCE) of the American Chemical Society (ACS)'s Division of Chemical Education (CHED). The collaborative teaching project involves instructors from multiple schools and external chemical information experts recruited from various sectors, aiming to help students acquire skills in handling chemical information and promote cooperation through online discussions.
JOURNAL OF CHEMICAL EDUCATION
(2021)
Article
Computer Science, Artificial Intelligence
Jing Di
Summary: This article proposes a solution based on a cloud service collaborative platform, which solves the integration and remoteness issues of mobile terminals and the office issues based on local area network. The system allows workers from different locations to access the office system at any time to process related business, improving the overall collaboration efficiency and integrating information management systems. By separating the front-end and back-end management, the system can effectively process a large amount of data, improve operation efficiency, increase information sharing, reduce unnecessary work, maximize work efficiency, stimulate worker enthusiasm, and reduce operating costs.
Article
Geosciences, Multidisciplinary
Mark A. Parsons, Ruth Duerr, Oystein Godoy
Summary: In 1987, NASA sponsored a workshop that led to the development of the Directory Interchange Format (DIF), a metadata format for catalog interoperability. The DIF was used for cataloging NASA Earth science and related data, and its keywords have been adopted globally. This review examines the evolution and management of these keywords over the past 35 years, highlighting the importance of semantic approaches, institutional commitment, transparency, technical flexibility, and understanding relationships for interdisciplinary interoperability.
GEOSCIENCE FRONTIERS
(2023)
Article
Computer Science, Hardware & Architecture
Mansour Naser Alraja, Hanadi Barhamgi, Amjad Rattrout, Mahmoud Barhamgi
Summary: The study proposes an integrated solution to assist users of IoT applications in effectively protecting their privacy, with positive feedback collected in a healthcare case study.
COMPUTERS & ELECTRICAL ENGINEERING
(2021)
Article
Computer Science, Information Systems
Ayesha Afzal, Basit Shafiq, Shafay Shamail, Abeer Elahraf, Jaideep Vaidya, Nabil R. Adam
Summary: The paper proposes an approach for collaborative BP development that utilizes attribute and structural similarity as well as semantic information of operations to overcome syntactic and semantic heterogeneity among Web service operations across organizations. Experimental evaluation with real world data from e-commerce sales BPs demonstrates the effectiveness of the approach.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2021)
Article
Automation & Control Systems
Thorsten Hempel, Ayoub Al-Hamadi
Summary: We present a real-time semantic mapping approach for mobile vision systems that involves a 2D to 3D object detection pipeline and rapid data association. The associated detections are introduced into a SLAM system for pose correction, enabling the generation of additional meaningful information to achieve higher-level tasks. By leveraging the view-invariance of object detections, the accuracy and robustness of odometry estimation are improved.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Review
Computer Science, Information Systems
Fahad Qaswar, M. Rahmah, Muhammad Ahsan Raza, A. Noraziah, Basem Alkazemi, Z. Fauziah, Mohd. Khairul Azmi Hassan, Ahmed Sharaf
Summary: This research conducted a systematic literature review to analyze the use of ontology in the Internet of Things (IoT). The findings show that ontologies are needed in the IoT field to minimize interoperability and integration issues, and there are existing ontologies that can be used for this purpose. Therefore, ontology is beneficial for achieving interoperability, integration, and privacy in the IoT.
Article
Environmental Sciences
Mathilde Puche, Alberto Vavassori, Maria Antonia Brovelli
Summary: This study investigates the impact of urban morphology and land cover composition on Land Surface Temperature (LST) and air temperature using the Local Climate Zone (LCZ) classification system. The results indicate that vegetation and natural areas are major mitigating factors for both LST and air temperature, while higher buildings increase local air temperature.
Review
Environmental Sciences
Su Yang, Miaole Hou, Songnian Li
Summary: This paper provides a comprehensive literature review on the acquisition of point cloud data and semantic segmentation algorithms in the cultural heritage field. It discusses the current trends, advantages, disadvantages, and applications of various algorithms, including region growing, model fitting, unsupervised clustering, supervised machine learning, and deep learning. Additionally, it summarizes the public benchmark datasets related to cultural heritage and presents the problems and future development trends of 3D point cloud semantic segmentation in this field.
Review
Computer Science, Information Systems
Richard Wen, Songnian Li
Summary: Many spatial decision support systems face challenges in user adoption due to lack of trust, technical expertise, and resources. Automated machine learning allows non-experts to explore and apply machine-learning models without requiring expert knowledge and resources. This paper proposes a framework for integrating spatial decision support systems with automated machine learning to lower user adoption barriers, and discusses challenges and research opportunities in system implementation.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2023)
Article
Remote Sensing
Vasil Yordanov, Quang Xuan Truong, Maria Antonia Brovelli
Summary: In this study, a low-cost lightweight consumer-grade UAV setup and a Red Relief Image Map were used to monitor and detect landslide surface movements. The combination of different techniques accurately and effectively estimated landslide movements over time and at different magnitudes. The method is computationally efficient, yields precise outputs, and can be easily adapted and modified using free and open-source software. It can potentially be used for monitoring and studying landslide behavior in areas without permanent monitoring solutions.
Article
Computer Science, Information Systems
Jesus Rodrigo Cedeno Jimenez, Angelly de Jesus Pugliese Viloria, Maria Antonia Brovelli
Summary: The increasing presence of air pollutants has led to environmental and health deterioration, causing a pressing concern for governments and organizations. To combat the decreased air quality, it is crucial for environmental agencies to measure trace gas atmospheric concentrations. This study aims to estimate ground NO2 by combining ground meteorological measurements with satellite observations using state-of-the-art Machine Learning models and feature selection algorithms.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2023)
Article
Environmental Sciences
Gorica Bratic, Daniele Oxoli, Maria Antonia Brovelli
Summary: Land cover information is crucial for sustainable development and decision-making. This study created a new benchmark dataset called MOLCA by integrating multiple existing high-resolution land cover datasets, covering Sub-Saharan Africa, the Amazon, and Siberia. MOLCA has a higher number of pixels and coverage for regions with limited training data availability, making it a valuable resource for future high-resolution land cover mapping.
Review
Computer Science, Information Systems
Timur Obukhov, Maria A. Brovelli
Summary: This research focused on armed conflicts and related violence, reviewing the use of machine learning to predict conflict escalation and the role of conditioning factors. The results showed that machine learning can help identify conflict-prone locations and contributing geospatial factors. The study emphasized the importance of unique predictors and conditioning factors for each conflict and concluded that machine learning has the potential to be a valuable tool in conflict analysis and prevention.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2023)
Article
Computer Science, Information Systems
Homeyra Mahmoudi, Silvana Camboim, Maria Antonia Brovelli
Summary: This research introduces a voice assistant in the BStreams platform and develops a specialised geospatial discourse framework. The survey results reveal prevalent English geospatial terminologies, and the use of ChatGPT aligns with these results. The study showcases the potential of voice assistants in enhancing geospatial data visualisation, but also acknowledges challenges in language understanding and domain knowledge.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2023)
Proceedings Paper
Engineering, Environmental
Xuan Quang Truong, Nguyen Hien Duong Dang, Thi Hang Do, Nhat Duong Tran, Thi Thu Nga Do, Van Anh Tran, Vasil Yordanov, Maria Antonia Brovelli, Thanh Dong Khuc
Summary: This research focuses on the land use/cover change in Mu Cang Chai and Van Yen districts, Yen Bai province, Vietnam using time-series of Sentinel-2 images from 2019 to 2020. The random forest classification algorithm is applied to derive the classified land use/cover map, and reference data is collected through visual interpretation using Google Earth. The results show high overall accuracy (90.7% for 2019 and 91.1% for 2020) and significant land use/cover change in the study area, which is evaluated and discussed using the transition matrix.
ADVANCES IN GEOSPATIAL TECHNOLOGY IN MINING AND EARTH SCIENCES
(2023)
Review
Chemistry, Multidisciplinary
Shishuo Xu, Sirui Liu, Changfeng Jing, Songnian Li
Summary: This study conducts a comprehensive survey of the research patterns in the event knowledge graph field over the past decade using scientometric analysis. The results reveal core authors, research hotspots, landmark journals, and national collaborations. It provides a structured view of the state-of-the-art literature and insights into future trends in the field, facilitating further research.
APPLIED SCIENCES-BASEL
(2023)
Article
Environmental Sciences
Jesus Rodrigo Cedeno Jimenez, Maria Antonia Brovelli
Summary: This study presents a model that uses satellite data and meteorological data to estimate ground-level NO2 concentrations in urban areas. It offers a cost-effective solution for low- and medium-income countries to assess air quality and addresses the limitations of air quality measurement.
Article
Geography, Physical
Alberto Vavassori, Gregory Giuliani, Maria Antonia Brovelli
Summary: The study investigates improving the classification of Local Climate Zone (LCZ) by comparing the performance of supervised algorithms applied to multispectral and hyperspectral satellite imagery. Preliminary results show that using PRISMA imagery with principal components can lead to improved classification accuracy.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2023)
Proceedings Paper
Engineering, Environmental
Xuan Quang Truong, Nhat Duong Tran, Nguyen Hien Duong Dang, Thi Hang Do, Quoc Dinh Nguyen, Vasil Yordanov, Maria Antonia Brovelli, Anh Quan Duong, Thanh Dong Khuc
Summary: This paper presents a landslide information system for Van Yen district in Yen Bai province of Vietnam, utilizing WebGIS technology for disseminating geographical information related to landslides. The paper develops a landslide susceptibility map using a Random Forest-based model and validates the model with a high accuracy of 91.33%. Additionally, a WebGIS is created using open-source technologies to combine the landslide susceptibility map with population data for assessing exposure for warning purposes.
ADVANCES IN RESEARCH ON WATER RESOURCES AND ENVIRONMENTAL SYSTEMS
(2023)
Proceedings Paper
Geography, Physical
V Yordanov, L. Biagi, X. Q. Truong, M. A. Brovelli
Summary: Unmanned Aerial Vehicles (UAVs) have been widely used in academic and industry domains due to their versatility in data acquisition and positioning. This study utilized a low-cost consumer-grade UAV for monitoring an active landslide in Italy, using free and open-source software solutions. The results showed that the setup was effective in detecting and analyzing landslide hazards, providing valuable datasets for further research.
XXIV ISPRS CONGRESS IMAGING TODAY, FORESEEING TOMORROW, COMMISSION II
(2022)
Proceedings Paper
Geography, Physical
Lorenzo Stucchi, Martina Aiello, Alessia Gargiulo, Maria Antonia Brovelli
Summary: This study aims to establish a methodology for estimating suitable areas for new renewable sources by identifying possible indexes, such as evapotranspiration, to describe the fields. Different procedures, including the use of satellite images, have been tested to compute evapotranspiration. The results are compared with those obtained from traditional hydrological models, revealing interesting findings for continuous monitoring of water-stressed areas.
XXIV ISPRS CONGRESS: IMAGING TODAY, FORESEEING TOMORROW, COMMISSION III
(2022)
