☆ 4.5 Article

A Dynamic Management and Integration Framework for Models in Landslide Early Warning System

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Computer Science, Information Systems

SoK: Run-time security for cloud microservices. Are we there yet?

Francesco Minna et al.

Summary: The adoption of microservice architecture is rapidly growing and brings both benefits and challenges to security. In this study, the researchers performed a systematic review of knowledge about the run-time security of microservices. They analyzed hundreds of papers and industry tools, categorized the findings, and identified areas where research is abundant or lacking. The study concludes that run-time security of microservices is still in its early stages and provides insights into addressing key challenges.

COMPUTERS & SECURITY (2023)

添加到收藏夹

Article Environmental Sciences

Stacking ensemble of machine learning methods for landslide susceptibility mapping in Zhangjiajie City, Hunan Province, China

Yuke Huan et al.

Summary: The study compared the performance of six machine learning algorithms, including basic classifiers and their hybrid classifiers, to map the landslide susceptibility of Zhangjiajie City, China. The GBDT + LR model achieved the highest AUC value and was identified as the most efficient model, followed by XGB + LR, XGB, RF + LR, GBDT, and RF models. The study suggests that the stacking ensemble machine learning method is promising for landslide susceptibility mapping in the area.

ENVIRONMENTAL EARTH SCIENCES (2023)

添加到收藏夹

Article Computer Science, Information Systems

Serverless Geospatial Data Processing Workflow System Design

Mete Ercan Pakdil et al.

Summary: This paper explores the utilization of serverless technologies for geospatial data processes and proposes a system design and architecture for handling complex geospatial data processing tasks. It also introduces new models for workflow and task definitions, as well as web services based on the Open Geospatial Consortium (OGC) API Processes specification to enhance interoperability with other geospatial applications.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2022)

添加到收藏夹

Article Forestry

Research on a Regional Landslide Early-Warning Model Based on Machine Learning-A Case Study of Fujian Province, China

Yanhui Liu et al.

Summary: This paper introduces a method for constructing a regional landslide early-warning model based on machine learning and validates it using Fujian Province in China as an example. The research results show that the Random Forest algorithm is the most effective model with high hit rate and accurate warnings.

FORESTS (2022)

添加到收藏夹

Article Environmental Sciences

Rainfall Induced Shallow Landslide Temporal Probability Modelling and Early Warning Research in Mountains Areas: A Case Study of Qin-Ba Mountains, Western China

Yufei Song et al.

Summary: This study proposes a new method for calculating the spatiotemporal probability of rainfall-induced landslides based on a Bayesian approach and develops a probabilistic-based early warning model at the regional scale. The results show that the proposed model has higher warning accuracy and economic benefits compared to the conventional model.

REMOTE SENSING (2022)

添加到收藏夹

Article Engineering, Geological

Novel Intelligent Approach for the Early Warning of Rainfall-Type Landslides Based on the BRB Model

Man Huang et al.

Summary: This work aims to apply the belief rule-based model in information fusion method for landslides, to enhance the accuracy and efficiency of landslide early warning. By focusing on a typical rainfall-induced landslide, it is found that surface displacement is the most sensitive monitoring data. The monitoring data of surface displacement change rate and rainfall intensity are used as input parameters for the BRB model. An initial BRB model is established with a rule base for discriminating warning levels. The optimized BRB model accurately describes the nonlinear relationship between the selected monitoring data and warning levels, providing an intelligent approach for landslide prevention with significant potential.

INTERNATIONAL JOURNAL OF GEOMECHANICS (2022)

添加到收藏夹

Article Computer Science, Information Systems

Distributed Redundant Placement for Microservice-based Applications at the Edge

Hailiang Zhao et al.

Summary: Multi-access edge computing (MEC) is a promising paradigm that pushes computation and communication resources to the network edge. We propose a distributed redundant placement framework and a GA-based Server Selection (GASS) algorithm for microservice-based applications. Numerical results based on real-world dataset confirm the superiority of our proposed approach over benchmark policies.

IEEE TRANSACTIONS ON SERVICES COMPUTING (2022)

添加到收藏夹

Article Computer Science, Information Systems

Landslide Risk Prediction Model Using an Attention-Based Temporal Convolutional Network Connected to a Recurrent Neural Network

Di Zhang et al.

Summary: Landslide risk assessment is essential in landslide research. Utilizing the TOPSIS-Entropy method in landslide datasets and combining it with deep neural networks, reliable prediction models for landslide risk have been proposed.

IEEE ACCESS (2022)

添加到收藏夹

Article Mathematics, Applied

Application of optimized GM (1,1) model based on EMD in landslide deformation prediction

Changjun Huang et al.

Summary: The EMD-GM(1,1) model combines the advantages of the two models to effectively separate different frequency components of the deformation sequence, resulting in higher prediction accuracy.

COMPUTATIONAL & APPLIED MATHEMATICS (2021)

添加到收藏夹

Article Environmental Sciences

Threshold Definition for Monitoring Gapa Landslide under Large Variations in Reservoir Level Using GNSS

Shuangshuang Wu et al.

Summary: The study recommends a velocity threshold for the early warning system of the Gapa landslide in Southwest China, defined by a novel method based on GNSS monitoring data. A crucial water level is also defined to reduce false alerts. The evolution process of the Gapa landslide and the warning level based on an improved deformation model are described, providing critical insights for the development of early warning systems for reservoir-induced large-scale landslides.

REMOTE SENSING (2021)

添加到收藏夹

Article Environmental Sciences

A variable weight combination model for prediction on landslide displacement using AR model, LSTM model, and SVM model: a case study of the Xinming landslide in China

Jiaying Li et al.

Summary: A novel landslide displacement prediction model using variable weights was developed, combining autoregressive, long short-term memory, and support vector machine models. The model continuously optimizes weights based on errors between actual displacements and predictions, showing improved accuracy compared to individual models, making it more applicable for landslide studies.

ENVIRONMENTAL EARTH SCIENCES (2021)

添加到收藏夹

Article Computer Science, Theory & Methods

Large-Scale Analysis of Docker Images and Performance Implications for Container Storage Systems

Nannan Zhao et al.

Summary: Docker containers are popular for modern enterprise applications due to their isolation, low overhead, and efficient packaging. The analysis found that only 3% of files in images are unique, indicating potential for file-level deduplication to save storage space. Comprehensive analysis of I/O request performance and copy-on-write performance for popular container storage drivers can help improve data reduction and caching methods for images, optimizations for registries, and storage drivers.

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2021)

添加到收藏夹

Article Geosciences, Multidisciplinary

Early Warning Indicators of Landslides Based on Deep Displacements: Applications on Jinping Landslide and Wendong Landslide, China

He Chen et al.

Summary: Real-time monitoring and early warning are crucial in mitigating the consequences of landslides. The deep displacement-based method is an effective solution for landslide risk management, but early warning indicators based on this method require thorough understanding. This study investigates early warning indicators and deformation monitoring of natural landslides, developing and calibrating a series of indicators for early warning.

FRONTIERS IN EARTH SCIENCE (2021)

添加到收藏夹

Article Geosciences, Multidisciplinary

Forecasting landslides using SIGMA model: a case study from Idukki, India

Minu Treesa Abraham et al.

Summary: This study proposes a regional landslide early warning system for Idukki, India, using a decisional algorithm. The model effectively predicts 79% of landslides in the region during 2018 and can be easily integrated with a rainfall forecasting system for landslide prediction, with potential for further improvement with better rainfall data resolution.

GEOMATICS NATURAL HAZARDS & RISK (2021)

添加到收藏夹

Review Geosciences, Multidisciplinary

Geographical landslide early warning systems

Fausto Guzzetti et al.

EARTH-SCIENCE REVIEWS (2020)

添加到收藏夹

Article Engineering, Industrial

Smart safety early warning model of landslide geological hazard based on BP neural network

Niu Hongtao

SAFETY SCIENCE (2020)

添加到收藏夹

Article Computer Science, Information Systems

Leveraging Container Technologies in a GIScience Project: A Perspective from Open Reproducible Research

Benito M. Zaragozi et al.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2020)

添加到收藏夹

Article Engineering, Geological

Assessing the potential of soil moisture measurements for regional landslide early warning

Adrian Wicki et al.

LANDSLIDES (2020)

添加到收藏夹

Article Computer Science, Information Systems

Geo-distributed efficient deployment of containers with Kubernetes

Fabiana Rossi et al.

COMPUTER COMMUNICATIONS (2020)

添加到收藏夹

Article Engineering, Geological

Enhancing the reliability of landslide early warning systems by machine learning

Hemalatha Thirugnanam et al.

LANDSLIDES (2020)

添加到收藏夹

Article Computer Science, Software Engineering

Impact of etcd deployment on Kubernetes, Istio, and application performance

Lars Larsson et al.

SOFTWARE-PRACTICE & EXPERIENCE (2020)

添加到收藏夹

Article Engineering, Geological

Successful implementations of a real-time and intelligent early warning system for loess landslides on the Heifangtai terrace, China

Qiang Xu et al.

ENGINEERING GEOLOGY (2020)

添加到收藏夹

Article Chemistry, Analytical

A Fast Deploying Monitoring and Real-Time Early Warning System for the Baige Landslide in Tibet, China

Yongbo Wu et al.

SENSORS (2020)

添加到收藏夹

Article Geosciences, Multidisciplinary

The design and application of landslide monitoring and early warning system based on microservice architecture

Dongxin Bai et al.

GEOMATICS NATURAL HAZARDS & RISK (2020)

添加到收藏夹

Article Engineering, Geological

Landslide susceptibility mapping on the islands of Vulcano and Lipari (Aeolian Archipelago, Italy), using a multi-classification approach on conditioning factors and a modified GIS matrix method for areas lacking in a landslide inventory

Jose Antonio Palenzuela Baena et al.

LANDSLIDES (2019)

添加到收藏夹

Article Geosciences, Multidisciplinary

Prediction on landslide displacement using a new combination model: a case study of Qinglong landslide in China

Weidong Wang et al.

NATURAL HAZARDS (2019)

添加到收藏夹

Article Geosciences, Multidisciplinary

Design and operation of App-based intelligent landslide monitoring system: the case of Three Gorges Reservoir Region

Zhigang Tao et al.

GEOMATICS NATURAL HAZARDS & RISK (2019)

添加到收藏夹

Article Geography, Physical

Landslide susceptibility mapping by remote sensing and geomorphological data: case studies on the Sorrentina Peninsula (Southern Italy)

Claudia Spinetti et al.

GISCIENCE & REMOTE SENSING (2019)

添加到收藏夹

Review Engineering, Geological

Monitoring strategies for local landslide early warning systems

Gaetano Pecoraro et al.

LANDSLIDES (2019)

添加到收藏夹

Article Geosciences, Multidisciplinary

Territorial early warning systems for rainfall-induced landslides

Luca Piciullo et al.

EARTH-SCIENCE REVIEWS (2018)

添加到收藏夹

Article Computer Science, Software Engineering

Microservices: The Journey So Far and Challenges Ahead

Pooyan Jamshidi et al.

IEEE SOFTWARE (2018)

添加到收藏夹

Article Computer Science, Hardware & Architecture

Application deployment using Microservice and Docker containers: Framework and optimization

Xili Wan et al.

JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2018)

添加到收藏夹

Article Engineering, Geological

Definition and performance of a threshold-based regional early warning model for rainfall-induced landslides

Luca Piciullo et al.

LANDSLIDES (2017)

添加到收藏夹

Article Environmental Sciences

Integration of Information Theory, K-Means Cluster Analysis and the Logistic Regression Model for Landslide Susceptibility Mapping in the Three Gorges Area, China

Qian Wang et al.

REMOTE SENSING (2017)

添加到收藏夹

Article Geosciences, Multidisciplinary

Big data managing in a landslide early warning system: experience from a ground-based interferometric radar application

Emanuele Intrieri et al.

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2017)

添加到收藏夹

Article Environmental Sciences

Landslide displacement prediction using discrete wavelet transform and extreme learning machine based on chaos theory

Faming Huang et al.

ENVIRONMENTAL EARTH SCIENCES (2016)

添加到收藏夹

Article Chemistry, Multidisciplinary

Web3DGIS-Based System for Reservoir Landslide Monitoring and Early Warning

Huang Huang et al.

APPLIED SCIENCES-BASEL (2016)

添加到收藏夹

Article Geosciences, Multidisciplinary

A community-based disaster risk reduction system in Wanzhou, China

Yi Liu et al.

INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION (2016)

添加到收藏夹

Article Geosciences, Multidisciplinary

Landslide failure forecast in near-real-time

Andrea Manconi et al.

GEOMATICS NATURAL HAZARDS & RISK (2016)

添加到收藏夹

Article Environmental Sciences

A Real-time monitoring and early warning system for landslides in Southwest China

Ju Neng-pan et al.

JOURNAL OF MOUNTAIN SCIENCE (2015)

添加到收藏夹

Article Geosciences, Multidisciplinary

Development and application of Shannon's entropy integrated information value model for landslide susceptibility assessment and zonation in Sikkim Himalayas in India

L. P. Sharma et al.

NATURAL HAZARDS (2015)

添加到收藏夹

Article Engineering, Geological

Application of expert rules in indirect approaches for landslide susceptibility assessment

Yannick Thiery et al.

LANDSLIDES (2014)

添加到收藏夹

Article Geosciences, Multidisciplinary

Experiences from site-specific landslide early warning systems

C. Michoud et al.

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2013)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.