Relevant bibliographies by topics / Early Warning Topology

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  1. Journal articles
  2. Book chapters
  3. Conference papers

Academic literature on the topic 'Early Warning Topology'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Early Warning Topology"

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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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Book chapters on the topic "Early Warning Topology"

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Sun, Rongrong, and Chengsi Wang. "Application of Deep Learning Techniques in Spatial Analysis and Impact Prediction of Trip Alarms." In Advances in Transdisciplinary Engineering. IOS Press, 2025. https://doi.org/10.3233/atde241344.

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In response to the frequent trip alarm issue in distribution networks, this study innovatively proposes a deep learning-based analysis and prediction method. This method conducts exploratory analysis on massive trip alarm data to reveal the spatiotemporal distribution patterns and influencing factors of events. Subsequently, the ConvLSTM model is employed to automatically extract spatial correlation features of trip events, constructing a high-precision risk prediction model. Based on this, a graph attention network is utilized to model the topology of the distribution network, achieving preci
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Conference papers on the topic "Early Warning Topology"

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Zuhruffani, Risnu, Faisol Amri Rahman, and Iqbal Faishal Rokhmad. "Unlocking Conditioning Monitoring Platform Through Implementation Digital Enablement Platform to Ensure Equipment Availability and Flawless Operations." In SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/215221-ms.

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Abstract Equipment health and monitoring platform is critical to ensure condition monitoring program for rotating machinery equipment which generates flow energy to transfer hydrocarbons for production and well injection, generates power for processing plant needs and waste disposal purposes. EHMS platform has been implemented in EMCL as part of machinery protection system and not being used to mitigate risk of some bad actors. Unlocking EHMS platform that has capability to provide Early warning system with features avoid unexpected downtime, continuous vibration analysis, automatically notify
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JAIN, ISHNA, AJAY KUMAR SREERAMA, PRAFULLA KALAPATAPU, and VENKATA DILIP KUMAR PASUPULETI. "A REAL-TIME FRAMEWORK FOR STRUCTURAL HEALTH MONITORING BASED ON THE INTERNET OF THINGS—AN EXPERIMENTAL STUDY." In Structural Health Monitoring 2023. Destech Publications, Inc., 2023. http://dx.doi.org/10.12783/shm2023/36835.

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Structural Health Monitoring (SHM) is a continuous and autonomous monitoring technique for ensuring structural safety, integrity, and performance without affecting the structure itself. Advances in technology help in identifying structural defects early on, which aids in making decisions pertaining to when repair and rehabilitation are required for civil structures resulting in saving the economy. The Internet of Things (IoT) and cloud services paradigm extends a faster and more reliable SHM strategy. There have been few studies, especially in data driven SHM for a while, where SHM with IoT wa
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