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Journal articles on the topic 'Early Warning Topology'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

He, Hui, Guotao Fan, Jianwei Ye, and Weizhe Zhang. "A Topology Visualization Early Warning Distribution Algorithm for Large-Scale Network Security Incidents." Scientific World Journal 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/827376.

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It is of great significance to research the early warning system for large-scale network security incidents. It can improve the network system’s emergency response capabilities, alleviate the cyber attacks’ damage, and strengthen the system’s counterattack ability. A comprehensive early warning system is presented in this paper, which combines active measurement and anomaly detection. The key visualization algorithm and technology of the system are mainly discussed. The large-scale network system’s plane visualization is realized based on the divide and conquer thought. First, the topology of

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Lesjak, Martin. "Automatic early warning systems for the environment." Nuclear Technology and Radiation Protection 18, no. 2 (2003): 44–50. http://dx.doi.org/10.2298/ntrp0302044l.

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Computerized, continuous monitoring environmental early warning systems are complex networks that merge measurements with the information technology. Accuracy, consistency, reliability and data quality are their most important features. Several effects may disturb their characteristics: hostile environment, unreliable communications, poor quality of equipment nonqualified users or service personnel. According to our experiences, a number of measures should be taken to enhance system performances and to maintain them at the desired level. In the paper, we are presenting an analysis of system re

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Gu, Cailian, Yibo Wang, Weisheng Wang, and Yang Gao. "Research on Load State Sensing and Early Warning Method of Distribution Network under High Penetration Distributed Generation Access." Energies 16, no. 7 (2023): 3093. http://dx.doi.org/10.3390/en16073093.

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Aiming at the problems of power flow fluctuation and voltage exceeding standard caused by high permeability distributed power supply access, this paper proposes a load state perception early warning method for distribution networks. Firstly, the random behavior characteristics and voltage early warning mechanisms of power supply and load in distribution networks are analyzed, the dynamic model of distribution networks based on complex network theory is established, and the risk index of voltage exceeding limits under the conditions of high permeability distributed power supply access is put fo

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Yang, Xueli, Zhi-Hua Wang, and Chenghao Wang. "Critical transitions in the hydrological system: early-warning signals and network analysis." Hydrology and Earth System Sciences 26, no. 7 (2022): 1845–56. http://dx.doi.org/10.5194/hess-26-1845-2022.

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Abstract. One critical challenge of studying Earth's hydroclimate system, in the face of global environmental changes, is to predict whether the system approaches a critical threshold. Here, we identified the critical transitions of hydrological processes, including precipitation and potential evapotranspiration, by analyzing their early-warning signals and system-based network structures. The statistical early-warning signals are manifest in increasing trends of autocorrelation and variance in the hydrologic system ranging from regional to global scales, prior to climate shifts in the 1970s a

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Gian, Quoc-Anh, Duc-Tan Tran, Dinh-Chinh Nguyen, and Tien Dieu Bui. "Flexible Configuration of Wireless Sensor Network for Monitoring of Rainfall-Induced Landslide." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 3 (2018): 1030. http://dx.doi.org/10.11591/ijeecs.v12.i3.pp1030-1036.

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<p>Establishment of wireless sensor network for Monitoring and Early Warning System (MEWS) of rainfall-induced landslide is still a challenging task due to problems of energy consumption. This research aim is to propose a new flexible system for the configuration of MEWS for rainfall-induced landslides. The proposed system is an integration a star topology and a tree topology, in which, the star topology is automatically used for the sensor nodes around the gateway node, whereas the tree topology is adopted for the other nodes. Consequently, the proposed configuration method is flexible

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Oseko, Naomi Nyaboke, Achuo Gilead Omondi, Hassan Dogo Onyango, et al. "Forecasting Financial Crisis using Topological Data Analysis Approach." African Scientific Annual Review 1, Mathematics 1 (2024): 1–17. http://dx.doi.org/10.51867/asarev.maths.1.1.1.

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Traditional financial forecasting methods often struggle to capture the complex interactions and emerging patterns that precede financial crises. By leveraging on TDA, this research aims to uncover potential topological features that might serve as early warning signals for impending financial crises. The study adopts the utilization of Topological Data Analysis, an initiative mathematical framework to explore and analyze the inherent topological structures within financial data set, using secondary data from ”Yahoo Finance API”. The results of the analysis conducted using Python indicate that

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Long, Sili, Zongfu Chen, Jianglin Qin, and Shunfu Zhang. "A New Algorithm for Association of Rain Gauging Stations in Flash Flood Prevention and Control Areas." ce/papers 8, no. 2 (2025): 1996–2004. https://doi.org/10.1002/cepa.3283.

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AbstractRain gauging station is an important defense for flash flood disaster. It provides primary data support for flash flood disaster early warning. To improve the insufficient consideration of the upstream to downstream topology in the watershed and insufficient representativeness of the rain gauging stations, an association algorithm between the automatic rain gauging stations and the flash flood prevention and control area based on the watershed's topological relationship is proposed, with the weight of the associated rain gauging stations determined by the Thiessen polygon method. Moreo

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PRIYADI, IRNANDA, FAISAL HADI, YOGI SURY PRANATA, and MAKMUN REZA RAZALI. "Rancangan dan Implementasi Sistem Deteksi Longsor Berbasis SMS dan Progressive Web Apps." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 10, no. 1 (2022): 243. http://dx.doi.org/10.26760/elkomika.v10i1.243.

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ABSTRAKSebagian besar daerah di Indoensia, terutama Propinsi Bengkulu termasuk salah satu daerah yang rawan bencana longsor, karena sebagian besar wilayah ini dilalui oleh jalur patahan gempa yang cenderung menyebabkan kondisi tanah menjadi labil. Hal ini menyebabkan bencana longsor menjadi masalah yang perlu di waspadai oleh masyarakat khususnya yang berada di area topologi tanah yang labil. Pada penelitian ini sistem deteksi bencana longsor dirancang untuk dapat mengetahui kondisi pergerakkan tanah secara real time sebagai bagian dari sistem peringatan dini (early warning system) terhadap ba

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Yang, Jing, Yang Xiu, Yan Ting Shi, Long Tao Zhao, and Xiao Yan Tan. "Substation Equipment Temperature Monitoring System Based on Heterogeneous Wireless Sensor Network." Applied Mechanics and Materials 511-512 (February 2014): 165–68. http://dx.doi.org/10.4028/www.scientific.net/amm.511-512.165.

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According to the records that the too-high temperature rise of equipment leaded to accidents easily, the temperature monitoring system based on ZigBee and GPRS, RS232 technology is designed. The perception layer uses the heterogeneous network topology by adding appropriate heterogeneous nodes to ordinary ones, which are much better than the ordinary in computing power, storage capacity, etc, and this topology structure extends transmission distance. Both of them use CC2530 chips, and the heterogeneous nodes are not only responsible for collecting temperature data, but also responsible for forw

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FITRIANI, RISKI, DIMAS BIWAS PUTRA, DOMINIKUS HARIAWAN AKHADI, et al. "Analisis Received Signal Strength Indicator (RSSI) Menggunakan Protokol ZigBee sebagai Media Transmisi Data Landslide Early Warning System (LEWS) di Area Bervegetasi Rapat: Studi Kasus Desa Cililin, Bandung Barat." Jurnal Teknologi Lingkungan 24, no. 2 (2023): 323–29. http://dx.doi.org/10.55981/jtl.2023.984.

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ABSTRACT One of the innovations to overcome landslide is Landslide Early Warning System (LEWS). Data transmission medium from LEWS will use Xbee based ZigBee protocol. The most possible communication in mountainous areas is wireless communication. Radio communication was chosen because it is free of data transmission costs and the Zigbee protocol has a fairly high data rate of up to 250 Kbps. The LEWS installation location is in the Cililin area, West Bandung. The characteristics of the site are densely vegetated with a variety of large woody plants and irregular spacing ranging from 1–3 meter

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Subono, Subono, Alfin Hidayat, and Akhmad Afandi. "PENGARUH MOBILITAS END DEVICE PADA WIRELESS SENSOR NETWORK (WSN) UNTUK PEMANTAUAN GAS CO DAN H2S PADA KAWAH IJEN KABUPATEN BANYUWANGI." JURNAL ELTEK 17, no. 1 (2019): 12. http://dx.doi.org/10.33795/eltek.v17i1.137.

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Gunung Ijen terletak di perbatasan kabupaten Banyuwangi dan Bondowoso. Gunung Ijen merupakan salah satu gunung aktif di Indonesia dengan ketinggian 2443 mdpl. Gunung ijen terkenal dikalangan wisatawan domestik maupun luar negeri karena fenomena alam api biru dan penambang belerang tradisional. Berdasarkan pengamatan terakhir dari Badan Penanggulangan Bencana Daerah (BPDB) kabupaten Banyuwangi pada bulan maret 2018 tercatat 30 orang mengalami keracunan gas CO dan H2S. Berdasarkan Kepala Pos Pengamatan Gunung Api (PPGA) Kawah Ijen, pada bulan maret terjadi aktifitas vulkanik yang memicu keluarny

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Viebahn, Jan, and Henk A. Dijkstra. "Critical Transition Analysis of the Deterministic Wind-Driven Ocean Circulation — A Flux-Based Network Approach." International Journal of Bifurcation and Chaos 24, no. 02 (2014): 1430007. http://dx.doi.org/10.1142/s0218127414300079.

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A new method for constructing complex networks from fluid flow fields is proposed. The approach focuses on spatial properties of the flow field, namely, on the topology of the streamline field. The network approach is applied to a model of the wind-driven ocean circulation, which exhibits the prototype of a critical transition, that is, a back-to-back saddle-node bifurcation related to two separate dynamical regimes. The network analysis enables a structural characterization of, on the one hand, the viscous regime as a weakly-connected and highly-assortative regime, and, on the other hand, of

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Guleva, Valentina Y. "The Combination of Topology and Nodes’ States Dynamics as an Early-warning Signal of Critical Transition in a Banking Network Model." Procedia Computer Science 80 (2016): 1755–64. http://dx.doi.org/10.1016/j.procs.2016.05.436.

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Yuhao Ang, Helmi Zulhaidi Mohd Shafri, Yang Ping Lee, et al. "Block-scale Oil Palm Yield Prediction Using Machine Learning Approaches Based on Landsat and MODIS Satellite Data." Journal of Advanced Research in Applied Sciences and Engineering Technology 45, no. 1 (2024): 90–107. http://dx.doi.org/10.37934/araset.45.1.90107.

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Due to environmental threats and weather uncertainty concerns, oil palm yield prediction is crucial for sustaining crop production. This can be achieved through machine learning and utilising remotely sensed data to predict crop yield. However, the comparative studies on remotely sensed data in adopting the machine learning models are still limited due to the data accessibility. Therefore, we compare and evaluate the prediction accuracy between different satellites, namely MODIS and Landsat-7, using machine learning algorithms and the topology of deep neural networks. Random forest and stackin

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Truong, Tuyen Phong. "Optimizing Radio Coverage Based on Cellular Automata." International Journal of Knowledge-Based Organizations 10, no. 4 (2020): 37–51. http://dx.doi.org/10.4018/ijkbo.2020100104.

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Autonomous surveillance systems based on wireless sensor networks have brought many benefits for understanding, protecting, and preserving biodiversity thanks to the latest sensor and telecommunication technologies. For example, in archipelagoes with many rocks of various shapes and elevations interleaved with water, it is hard to deploy wireless sensing systems for covering all these given areas. In these sensing systems, coverages are defined as where information is accessible. In this article, a new approach is proposed, adopting cellular automata and massively parallel processing on GPUs.

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Elsegai, Heba. "Improving the Process of Early-Warning Detection and Identifying the Most Affected Markets: Evidence from Subprime Mortgage Crisis and COVID-19 Outbreak—Application to American Stock Markets." Entropy 25, no. 1 (2022): 70. http://dx.doi.org/10.3390/e25010070.

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Stock-market-crash predictability is of particular interest in the field of financial time-series analysis. Famous examples of major stock-market crashes are the real-estate bubble in 2008 and COVID-19 in 2020. Several studies have studied the prediction process without taking into consideration which markets might be falling into a crisis. To this end, a combination analysis is utilized in this manuscript. Firstly, the auto-regressive estimation (ARE) algorithm is successfully applied to electroencephalography (EEG) brain data for detecting diseases. The ARE algorithm is employed based on sta

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Huang, Zexia, Xu Gu, Jinsong Hu, and Xiaoliang Chen. "UPI-LT: Enhancing Information Propagation Predictions in Social Networks Through User Influence and Temporal Dynamics." Applied Sciences 14, no. 20 (2024): 9599. http://dx.doi.org/10.3390/app14209599.

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The TEST pervasive use of social media has highlighted the importance of developing sophisticated models for early information warning systems within online communities. Despite the advancements that have been made, existing models often fail to adequately consider the pivotal role of network topology and temporal dynamics in information dissemination. This results in suboptimal predictions of content propagation patterns. This study introduces the User Propagation Influence-based Linear Threshold (UPI-LT) model, which represents a novel approach to the simulation of information spread. The UP

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Cimatoribus, A. A., S. S. Drijfhout, V. Livina, and G. van der Schrier. "Dansgaard–Oeschger events: bifurcation points in the climate system." Climate of the Past 9, no. 1 (2013): 323–33. http://dx.doi.org/10.5194/cp-9-323-2013.

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Abstract. Dansgaard–Oeschger events are a prominent mode of variability in the records of the last glacial cycle. Various prototype models have been proposed to explain these rapid climate fluctuations, and no agreement has emerged on which may be the more correct for describing the palaeoclimatic signal. In this work, we assess the bimodality of the system, reconstructing the topology of the multi-dimensional attractor over which the climate system evolves. We use high-resolution ice core isotope data to investigate the statistical properties of the climate fluctuations in the period before t

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KONG, BIAO, ENYUAN WANG, ZENGHUA LI, and WEI LU. "STUDY ON THE FEATURE OF ELECTROMAGNETIC RADIATION UNDER COAL OXIDATION AND TEMPERATURE RISE BASED ON MULTIFRACTAL THEORY." Fractals 27, no. 03 (2019): 1950038. http://dx.doi.org/10.1142/s0218348x19500385.

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During coal oxidation and temperature rise, a significantly large amount of electromagnetic radiation (EMR) signals are generated as a result of thermal deformation and thermal cracking. The generation of EMR signal is the comprehensive embodiment of the physical and chemical changes in coal during its oxidation and subsequent heating. Therefore, the generated signals contain complex and rich messages that can reflect the changes in the internal structure of coal. In this work, the characteristics of EMR signal were analyzed by multifractal theory. Multifractal analysis was used to deconstruct

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Tseng, Shih-Hsien, and Tien Son Nguyen. "A Method for Visualizing Posterior Probit Model Uncertainty in the Early Prediction of Fraud for Sustainability Development." Axioms 10, no. 3 (2021): 178. http://dx.doi.org/10.3390/axioms10030178.

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Corporate fraud is not only curtailed investors’ rights and privileges but also disrupts the overall market economy. For this reason, the formulation of a model that could help detect any unusual market fluctuations would be essential for investors. Thus, we propose an early warning system for predicting fraud associated with financial statements based on the Bayesian probit model while examining historical data from 1999 to 2017 with 327 businesses in Taiwan to create a visual method to aid in decision making. In this study, we utilize a parametric estimation via the Markov Chain Monte Carlo

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ZHANG, RAN, JIE LIU, ZHANYOU SA, ZAIQUAN WANG, SHOUQING LU, and CHENGFENG WANG. "EXPERIMENTAL INVESTIGATION ON MULTI-FRACTAL CHARACTERISTICS OF ACOUSTIC EMISSION OF COAL SAMPLES SUBJECTED TO TRUE TRIAXIAL LOADING–UNLOADING." Fractals 28, no. 05 (2020): 2050092. http://dx.doi.org/10.1142/s0218348x20500929.

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Coal–rock dynamic disasters seriously threaten safe production in coal mines, and an effective early warning is especially important to reduce the losses caused by these disasters. The occurrence of coal–rock dynamic disasters is determined by mining-induced stress loading and unloading. Therefore, it is of great significance to analyze the precursory information of coal deformation and failure during true triaxial stress loading and unloading. In this study, the deformation and failure of coal samples subjected to true triaxial loading and unloading, including fixed axial stress and unloading

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Linchong, Kang, Jiang Xiaoyi, Zhao Longfei, et al. "A Decision Support System for Marine Regulation." IOP Conference Series: Earth and Environmental Science 1004, no. 1 (2022): 012009. http://dx.doi.org/10.1088/1755-1315/1004/1/012009.

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Abstract The implementation of marine spatial data management and decision support based on GIS provides a powerful tool for marine regulation. This study constructed a three-dimensional spatiotemporal data model of marine resources that is hierarchical, partitioned, and classified according to the management principle of using an underground resource layer, surface matrix layer, surface overburden layer, and management layer, taking the marine resource entity as the unit. Key research topics include marine multi-source information integration, visual expression, and spatiotemporal topology an

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Sebastian, Alvin, Maolin Tang, Yanming Feng, and Mark Looi. "Context-Aware Multicast Protocol for Emergency Message Dissemination in Vehicular Networks." International Journal of Vehicular Technology 2012 (September 18, 2012): 1–14. http://dx.doi.org/10.1155/2012/905396.

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Road traffic accidents can be reduced by providing early warning to drivers through wireless ad hoc networks. When a vehicle detects an event that may lead to an imminent accident, the vehicle disseminates emergency messages to alert other vehicles that may be endangered by the accident. In many existing broadcast-based dissemination schemes, emergency messages may be sent to a large number of vehicles in the area and can be propagated to only one direction. This paper presents a more efficient context-aware multicast protocol that disseminates messages only to endangered vehicles that may be

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Li, Na, Yilong Zhang, Qing Zhang, and Shaoguang Zhu. "Transfer Learning Model for Crack Detection in Side SlopesBased on Crack-Net." Applied Sciences 15, no. 13 (2025): 6951. https://doi.org/10.3390/app15136951.

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Accurate detection of slope cracks plays a crucial role in early landslide disaster warning; however, traditional approaches often struggle to identify fine and irregular cracks. This study introduces a novel deep learning model, Crack-Net, which leverages a multi-modal feature fusion mechanism and is developed using transfer learning. To resolve the blurred representation of small-scale cracks, a nonlinear frequency-domain mapping module is employed to decouple amplitude and phase information, while a cross-domain attention mechanism facilitates adaptive feature fusion. In addition, a deep fe

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Chen, Xirui. "Corporate default risk prediction model based on graph neural networks." Journal of Fintech and Business Analysis 2, no. 2 (2025): 10–14. https://doi.org/10.54254/3049-5768/2025.25276.

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This study presents a graph neural network (GNN)-based framework for corporate default risk prediction by explicitly modeling inter-firm dependencies through supply-chain links, ownership ties, and board overlaps. We construct a heterogeneous information network (HIN) from longitudinal firm-level data (20142024), transforming relational structures into learned node embeddings via a three-layer relational graph convolutional network (R-GCN). These embeddings are further processed by a survival-analysis layer to estimate time-varying default probabilities. Compared to traditional financial ratio

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Chang, Wenwen, Wenchao Nie, Renjie Lv, Lei Zheng, Jialei Lu, and Guanghui Yan. "Fatigue Driving State Detection Based on Spatial Characteristics of EEG Signals." Electronics 13, no. 18 (2024): 3742. http://dx.doi.org/10.3390/electronics13183742.

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Monitoring the driver’s physical and mental state based on wearable EEG acquisition equipment, especially the detection and early warning of fatigue, is a key issue in the research of the brain–computer interface in human–machine intelligent fusion driving. Comparing and analyzing the waking (alert) state and fatigue state by simulating EEG data during simulated driving, this paper proposes a brain functional network construction method based on a phase locking value (PLV) and phase lag index (PLI), studies the relationship between brain regions, and quantitatively analyzes the network structu

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Jahir, Abdul, Kuat Indartono, Bagus Adhi Kusuma, and Abdul Ghofur. "Monitoring Banjir Berbasis Wireless Sensor Network." JURNAL MEDIA INFORMATIKA BUDIDARMA 6, no. 1 (2022): 347. http://dx.doi.org/10.30865/mib.v6i1.3470.

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Flood disasters often occur in Indonesia. Banyumas Regency is one of the districts that often experiences flooding. The area with the flood-prone category is Sumpiuh sub-district. One of the villages that often floods is Pandak Village. Cases that often arise when it rains for a long time and after it stops only a few moments later floods occur. The purpose of this study is to provide early warning system of flood detection to residents, so that material losses can be minimized. This research was conducted by making a Wireless Sensor Network (WSN) based flood monitoring device. The device cons

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Wei, Jiangying, Ridong Hu, and Feng Chen. "The Path to Sustainable Stability: Can ESG Investing Mitigate the Spillover Effects of Risk in China’s Financial Markets?" Sustainability 16, no. 23 (2024): 10316. http://dx.doi.org/10.3390/su162310316.

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In the context of a low-carbon economic transition and escalating uncertainties in financial markets, understanding the relationship between the long-term benefits of ESG (Environmental, Social, and Governance) investments and the stability of China’s financial markets emerges as a critical issue. This paper analyzes the risk contagion mechanisms within China’s financial system from the perspective of volatility spillovers associated with ESG investments. Initially, the study employs the Time-Varying Parameter Vector Autoregression (TVP-VAR) model to calculate the variance decomposition spillo

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Chunqiao, Mi, Deng Qingyou, Peng Xiaoning, and Lin Jing. "Predicting Student Study Failure Risk Using Artificial Neural Network Method." Recent Patents on Engineering 13, no. 4 (2019): 382–86. http://dx.doi.org/10.2174/1872212112666180917115140.

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Background: Study failure in a course is very complicated which is always affected by many different factors and is characterized by uncertainties. We reviewed previous literatures and patents relating to student failure prediction, while there seems to be no ideal method or tool which can easily learn the relationship between failure results and reasons. Methods: In this study a method of artificial neural network was provided to predict student failure risk in course study. A three-layered network topology was used including input layer with nine neural nodes, hidden layer with ten optimized

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Mo, Chunmei, Zaimi Xie, and Ji Wang. "Large-Area Saline-Alkali-Tolerant Rice Growth Environment Monitoring System Based on LoRa+UAV." Advances in Materials Science and Engineering 2022 (September 7, 2022): 1–15. http://dx.doi.org/10.1155/2022/9003753.

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A wireless sensor network (WSN) monitoring system for saline-alkali-tolerant rice based on long-range + unmanned aerial vehicle (LoRa + UAV) has been proposed in this paper to meet the requirements of difficult deployment, low scalability, and poor network reliability of traditional farmland environmental monitoring systems. The system automatically forms a double-layer star topology network through the terminal node and central node (intranet), central node, and UAV mobile node (extranet). Data transmission is carried out through LoRa technology, routing planning is carried out for UAV mobile

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Adriansyah, Andi, Muhammad Hanif Budiutomo, Heri Hermawan, Reni Ika Andriani, Rama Sulistyawan, and Abu Ubaidah Shamsudin. "Design of water level detection monitoring system using fusion sensor based on Internet of Things (IoT)." SINERGI 28, no. 1 (2023): 191. http://dx.doi.org/10.22441/sinergi.2024.1.019.

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River flooding is a condition when the water in a river overflows and exceeds its normal capacity, thereby flooding the surrounding area. This flood disaster has been a known problem for a long time and causes great damage in the affected areas. Flood events inRivers are influenced by many factors, such as climate change, rapid urbanization, inappropriate land use, ineffective water management patterns, as well as uncontrolled addition of hard soil surfaces. Flood conditions in rivers involve complex processes and are influenced by various factors components, such as rainfall, water flow, topo

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Marcillo, Pablo, Diego Tamayo-Urgilés, Ángel Leonardo Valdivieso Caraguay, and Myriam Hernández-Álvarez. "Security in V2I Communications: A Systematic Literature Review." Sensors 22, no. 23 (2022): 9123. http://dx.doi.org/10.3390/s22239123.

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Recently, the number of vehicles equipped with wireless connections has increased considerably. The impact of that growth in areas such as telecommunications, infotainment, and automatic driving is enormous. More and more drivers want to be part of a vehicular network, despite the implications or risks that, for instance, the openness of wireless communications, its dynamic topology, and its considerable size may bring. Undoubtedly, this trend is because of the benefits the vehicular network can offer. Generally, a vehicular network has two modes of communication (V2I and V2V). The advantage o

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Yuan, Chenyin, Chenhao Sun, Boxuan Yu, Jianhong Su, and Runze Li. "An Anomaly Detection Ensemble for Protection Systems in Distribution Networks." Applied Sciences 14, no. 10 (2024): 4158. http://dx.doi.org/10.3390/app14104158.

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Due to the complex topology, multi-line branches, and dense spatial distribution characteristics of a distribution network, potential disturbances and failures cannot be eliminated in real scenes, which means that higher levels of both reliability and stability are required in its corresponding protection system. For this reason, the timely monitoring and pinpoint identification of an underlying abnormal operation status in those protection systems must be ensured. To this end, a data-driven-based real-time anomaly detection ensemble is proposed in this paper. First, the kernel principal compo

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Vito, D. "USE OF MULTIVARIATE MACHINE LEARNING ANALYSIS TECHNIQUES FOR FLOOD RISK PREVENTION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W4 (March 6, 2018): 549–54. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w4-549-2018.

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<p><strong>Abstract.</strong> Natural disasters such as flood are regarded to be caused by extreme weather conditions as well as changes in global and regional climate.<br> The prediction of flood incoming is a key factor to ensure civil protection in case of emergency and to provide effective early warning system. The risk of flood is affected by several factors such as land use, meteorological events, hydrology and the topology of the land.<br> Predict such a risk implies the use of data coming from different sources such satellite images, water basin levels, me

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Sumardiono, Arif, Zaenurohman Zaenurohman, and Erna Alimudin. "Early Warning System Bencana Banjir Menggunakan LoRa Antar Node System." Infotekmesin 16, no. 1 (2025): 1–8. https://doi.org/10.35970/infotekmesin.v16i1.2448.

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Indonesia adalah salah satu negara yang beriklim tropis. Curah hujan yang tinggi menyebabkan banjir pada sungai yang tidak dapat diprediksi. Bencana banjir yang terjadi nampak tidak ada pencegahan secara efektif serta kurangnya sistem untuk memberikan peringatan sedini mungkin sebelum terjadinya bencana banjir agar kerugian dapat diminimalisir. Pemantauan bencana banjir harus dilakukan di tepi sungai dari hulu ke hilir. Pada lokasi tersebut sering tepi sungai berada di daerah hutan yang kondisi sinyal gsm lemah bahkan tidak ada. Kondisi tersebut menyebabkan sulitnya pengiriman data antar node

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Haziel, Latupapua, I. Latupapua Andrias, Wahab Abdi, and Alaydrus Mudrik. "Wireless Sensor Network Design for Earthquake's and Landslide's Early Warnings." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 2 (2018): 437–45. https://doi.org/10.11591/ijeecs.v11.i2.pp437-445.

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Indonesia is located at the junction of three tectonic plates, and the Maluku Island it self has 10 fault line zones, so the impact of frequent tectonic earthquakes there resulted in a domino effect, such as the frequent occurrence of soil landslides at several points in the city of Ambon. This research aims to design a monitoring system for measurements of earthquake indication and landslides integrated via Wireless Sensor Network (WSN) by implementing a star topology, ZigBee, WiFi technology Shield and GPRS (General Packet Radio Service). The Wireless Sensor Network (WSN) is utilized to acqu

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D., OSTRENKO, and KOLLAROV O. "Analysis of available methods of protection of the power grid with alternative sources from pre-emergency and emergency situations." Journal of Electrical and power engineering 26, no. 4 (2022): 57–62. http://dx.doi.org/10.31474/2074-2630-2022-1-57-62.

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When performing work [1], the system that controls the photovoltaic station and measures the parameters in it was considered. In particular, an interesting part is the shutdown of certain loads (asynchronous electric motors) at different values of the output power of the station. Factors in reducing this parameter can be caused not only by changes in external factors, such as changes in the level of solar insolation or changes in temperature or angle of the panels, but also electrical processes occurring in the network between leaving the photovoltaic plant and final consumption. In this exper

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Raj Parikh and Khushi Parikh. "A survey on AI-augmented Secure RTL design for hardware trojan prevention." International Journal of Science and Research Archive 14, no. 3 (2025): 486–95. https://doi.org/10.30574/ijsra.2025.14.3.0644.

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Once, discrete circuit elements, called components, were heaped up on boards inside steel cages using wire-lead technology in just five short years. Fast forward to today, and your computer CPU fits about half an inch square on a chip. Both this constant miniaturization of electronic circuits and the rapid growth in the prevalence of third-party intellectual property parts have made hardware protection more worrisome than ever. Among all these issues, Hardware Trojans (HTs)—which represent corrupted or harmful additions during various design and fabrication stages—pose significant threats to s

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Latupapua, Haziel, Andrias Izaac Latupapua, Abdi Wahab, and Mudrik Alaydrus. "Wireless Sensor Network Design for Earthquake’s and Landslide’s Early Warnings." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 2 (2018): 437. http://dx.doi.org/10.11591/ijeecs.v11.i2.pp437-445.

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<p>Indonesia including the earthquake-prone areas because Indonesia is situated between three tectonic plates and in the Maluku island it self has a fault line 10 zones, the impact of frequent tectonic earthquake on the island of Maluku resulted in a domino effect, such as the frequent occurrence of soil landslides at several points in the city of Ambon, and due to faults that occur lead ease rising sea levels to population centers so Ambon was becoming flooded. This research aims to design and analyzing measurements of earthquake monitoring system indication and landslides integrated vi

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Fitriani, Riski. "KAJIAN KEKUATAN SINYAL RADIO (RSSI) XBEE DALAM RANGKA PEMASANGAN LANDSLIDE EARLY WARNING SYSTEM (LEWS) DI KABUPATEN GARUT, TASIKMALAYA DAN MAJALENGKA." Jurnal Alami : Jurnal Teknologi Reduksi Risiko Bencana 3, no. 2 (2019): 88. http://dx.doi.org/10.29122/alami.v3i2.3731.

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Salah satu inovasi untuk menanggulangi longsor adalah dengan melakukan pemasangan Landslide Early Warning System (LEWS). Media transmisi data dari LEWS yang dikembangkan menggunakan sinyal radio Xbee. Sehingga sebelum dilakukan pemasangan LEWS, perlu dilakukan kajian kekuatan sinyal tersebut di lokasi yang akan terpasang yaitu Garut, Tasikmalaya, dan Majalengka. Kajian dilakukan menggunakan 2 jenis Xbee yaitu Xbee Pro S2B 2,4 GHz dan Xbee Pro S5 868 MHz. Setelah dilakukan kajian, Xbee 2,4 GHz tidak dapat digunakan di lokasi pengujian Garut dan Majalengka karena jarak modul induk dan anak cukup

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Anh, Tran, Chinh, and Dieu. "Flexible Configuration of Wireless Sensor Network for Monitoring of Rainfall-Induced Landslide." December 1, 2018. https://doi.org/10.11591/ijeecs.v12.i3.pp1030-1036.

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Establishment of wireless sensor network for Monitoring and Early Warning System (MEWS) of rainfall-induced landslide is still a challenging task due to problems of energy consumption. This research aim is to propose a new flexible system for the configuration of MEWS for rainfall-induced landslides. The proposed system is an integration a star topology and a tree topology, in which, the star topology is automatically used for the sensor nodes around the gateway node, whereas the tree topology is adopted for the other nodes. Consequently, the proposed configuration method is flexible and capab

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Zhang, Pei, Yanpeng He, Li Ma, and Changkui Cong. "A Storm Frame Optimization Method for Predicting and Warning the Safety Status of a Shearer." Energy Science & Engineering, December 9, 2024. https://doi.org/10.1002/ese3.1953.

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ABSTRACTReal‐time monitoring, prediction, and early warning of operating status during intelligent mining are the key to ensuring stable production. To solve the problem of lag in determining the operating status of a shearer, this study proposes a new method for predicting and warning the real‐time operating status of the shearer involving the Storm framework, based on parallel optimization of data processing and the gated recurrent unit (GRU) model based on hyperparameter optimization. First, the GRU model is optimized through hyperparameter optimization to achieve adaptive and accurate pred

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Zhang, Peng, Ting Gao, Jin Guo, and Jinqiao Duan. "Action functional as an early warning indicator in the space of probability measures via Schrödinger bridge." Quantitative Biology 13, no. 3 (2025). https://doi.org/10.1002/qub2.86.

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AbstractCritical transitions and tipping phenomena between two meta‐stable states in stochastic dynamical systems are a scientific issue. In this work, we expand the methodology of identifying the most probable transition pathway between two meta‐stable states with Onsager–Machlup action functional, to investigate the evolutionary transition dynamics between two meta‐stable invariant sets with Schrödinger bridge. In contrast to existing methodologies such as statistical analysis, bifurcation theory, information theory, statistical physics, topology, and graph theory for early warning indicator

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Fioriti, Vincenzo, Antonino Cataldo, Alessandro Colucci, et al. "Innovative graph-based video processing methodology for collapse early warning of historic masonry buildings." Acta IMEKO 13, no. 2 (2024). http://dx.doi.org/10.21014/actaimeko.v13i2.1756.

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In the present study an innovative video processing methodology is proposed for application to vibration data of historic masonry structures. The proposed methodology is based on graph theory and topology analysis applied to magnified videos in search of effective parameters for early-warning signals before the collapse of structures in case of earthquakes. The proposed method was validated through seismic tests of a brick-masonry mockup representing a vault of the mosque in the Palace of the Dey, Algiers. In particular, the seismic tests were carried out at increasing earthquake intensity up

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Yin, Weida. "Monitoring and early warning of artificial intelligence system in public health safety law." Soft Computing, July 6, 2023. http://dx.doi.org/10.1007/s00500-023-08892-5.

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Ma, Xiaohua. "Enterprise financial early warning based on improved particle swarm optimization algorithm and data mining." Soft Computing, June 5, 2023. http://dx.doi.org/10.1007/s00500-023-08518-w.

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Zhang, Ziyi. "Early warning model of adolescent mental health based on big data and machine learning." Soft Computing, November 29, 2023. http://dx.doi.org/10.1007/s00500-023-09422-z.

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Guan, Yu, Yuanhang Zhu, Zhijian Yang, Bo Yin, Vikrant Gupta, and Larry K. B. Li. "Multifractality and scale-free network topology in a noise-perturbed laminar jet." Journal of Fluid Mechanics 972 (September 26, 2023). http://dx.doi.org/10.1017/jfm.2023.693.

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We present experimental evidence of multifractality and scale-free network topology in a noise-perturbed laminar jet operated in a globally stable regime, prior to the critical point of a supercritical Hopf bifurcation and prior to the saddle-node point of a subcritical Hopf bifurcation. For both types of bifurcation, we find that (i) the degree of multifractality peaks at intermediate noise intensities, (ii) the conditions for peak multifractality produce a complex network whose node degree distribution obeys an inverse power-law scaling with an exponent of $2 < \gamma < 3$ , indicating

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Christensen, Christoffer Fyllgraf, Jonas Engqvist, Fengwen Wang, Ole Sigmund, and Mathias Wallin. "Extremal structures with embedded prefailure indicators." Proceedings of the National Academy of Sciences 122, no. 5 (2025). https://doi.org/10.1073/pnas.2412285122.

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Preemptive identification of potential failure under loading of engineering structures is a critical challenge. Our study presents an innovative approach to design built-in prefailure indicators within multiscale structural designs with optimized load carrying capabilities utilizing the design freedom of topology optimization. The indicators are engineered to visibly signal load conditions approaching the global critical buckling load at predefined locations. By showing noncritical local buckling when activated, the indicators provide early warning without compromising the overall structural i

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Si, Huiji. "Design of political course students’ mental state early warning system based on cognitive computing simulation." Soft Computing, May 25, 2023. http://dx.doi.org/10.1007/s00500-023-08520-2.

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