scholarly journals Early Warning Method and Model of Inland Ship Collision Risk Based on Coordinated Collision-Avoidance Actions

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Zhiyou Cheng ◽  
Yaling Li ◽  
Bing Wu
Keyword(s):  
Collision Avoidance ◽  
Early Warning ◽  
Warning System ◽  
Collision Risk ◽  
Inland Waterways ◽  
Early Warning Model ◽  
Quantitative Calculation ◽  
Ship Collision ◽  
Warning Model

To reduce the occurrence of ship collisions, immediate danger, and close-quarters situations in narrow inland waterways, a step-by-step early warning system for ship collision-avoidance actions was developed, along with an early warning method and model of collision risk based on coordinated collision-avoidance actions. This study first analyzed the importance of coordinated collision-avoidance actions in inland waterways, and the process and key components of coordinated collision-avoidance actions were studied. Then, the early warning method of inland ship collision risk based on coordinated collision-avoidance actions was introduced; the effectiveness of the early warning method was comparatively analyzed via experimental observations. A framework of early warning model of inland ship collision risk was created based on the early warning method; a collision risk early warning model for inland ships based on coordinated collision-avoidance actions was proposed according to the relationship between the distance/time to the closest point of approach (DCPA, TCPA), coordination degree of collision-avoidance actions of the two considered ships and collision risk; moreover, the early warning model of inland ship collision risk was further considered for quantitative calculation. Finally, the application of the early warning method and model was demonstrated using a case study. The results indicate that the early warning method of inland ship collision risk based on coordinated collision-avoidance actions could effectively reduce the emergence of close-quarters situations and immediate danger, and the early warning model could quantitatively show the evolution of collision risk of two ships along with the process of coordinated collision-avoidance actions.

scholarly journals The Level of Public Acceptance to the Development of a Coastal Flooding Early Warning System in Jakarta

2021 ◽  
Vol 13 (2) ◽  
pp. 566
Author(s):  
Nelly Florida Riama ◽  
Riri Fitri Sari ◽  
Henita Rahmayanti ◽  
Widada Sulistya ◽  
Mohamad Husein Nurrahmat
Keyword(s):  
Path Analysis ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Coastal Flooding ◽  
Coastal Areas ◽  
Public Acceptance ◽  
Community Attitudes ◽  
Early Warning Model ◽  
Warning Model

Coastal flooding is a natural disaster that often occurs in coastal areas. Jakarta is an example of a location that is highly vulnerable to coastal flooding. Coastal flooding can result in economic and human life losses. Thus, there is a need for a coastal flooding early warning system in vulnerable locations to reduce the threat to the community and strengthen its resilience to coastal flooding disasters. This study aimed to measure the level of public acceptance toward the development of a coastal flooding early warning system of people who live in a coastal region in Jakarta. This knowledge is essential to ensure that the early warning system can be implemented successfully. A survey was conducted by distributing questionnaires to people in the coastal areas of Jakarta. The questionnaire results were analyzed using cross-tabulation and path analysis based on the variables of knowledge, perceptions, and community attitudes towards the development of a coastal flooding early warning system. The survey result shows that the level of public acceptance is excellent, as proven by the average score of the respondents’ attitude by 4.15 in agreeing with the establishment of an early warning system to manage coastal flooding. Thus, path analysis shows that knowledge and perception have a weak relationship with community attitudes when responding to the coastal flooding early warning model. The results show that only 23% of the community’s responses toward the coastal flooding early warning model can be explained by the community’s knowledge and perceptions. This research is expected to be useful in implementing a coastal flooding early warning system by considering the level of public acceptance.

scholarly journals An Early Warning Model for School Dropout: a Case Study in E-learning Class

2019 ◽  
Author(s):  
Felipe Braz ◽  
Fernanda Campos ◽  
Victor Stroele ◽  
Mário Dantas
Keyword(s):  
Early Warning ◽  
School Dropout ◽  
Early Warning Model ◽  
E Learning ◽  
Warning Model

Development of early warning system for linear engineering - a case study on highway in Sichuan, China

2020 ◽  
Author(s):  
Ruihua Xiao
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Early Warning Systems ◽  
Highway Safety ◽  
Warning Systems ◽  
Safety Control ◽  
Early Warning Model ◽  
Landslide Early Warning ◽  
Warning Model

<p>For the recent years, highway safety control under extreme natural hazards in China has been facing critical challenges because of the latest extreme climates. Highway is a typical linear project, and neither the traditional single landslide monitoring and early warning model entirely dependent on displacement data, nor the regional meteorological early warning model entirely dependent on rainfall intensity and duration are suitable for it. In order to develop an efficient early warning system for highway safety, the authors have developed an early warning method based on both monitoring data obtained by GNSS and Crack meter, and meteorological data obtained by Radar. This early-warning system is not each of the local landslide early warning systems (Lo-LEWSs) or the territorial landslide early warning systems (Te-LEWSs), but a new system combining both of them. In this system, the minimum warning element is defined as the slope unit which can connect a single slope to the regional ones. By mapping the regional meteorological warning results to each of the slope units, and extending the warning results of the single landslides to the similar slope units, we can realize the organic combination of the two warning methods. It is hopeful to improve the hazard prevention and safety control for highway facilities during critical natural hazards with the progress of this study.</p>

scholarly journals Sepsis prediction via the clinical data integration system in the ICU

2021 ◽  
Author(s):  
Qiyu Chen ◽  
Ranran Li ◽  
Zhizhe Lin ◽  
Zhiming Lai ◽  
Peijiao Xue ◽  
...  
Keyword(s):  
Data Integration ◽  
Medical Devices ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Integration System ◽  
Integration Platform ◽  
Early Warning Model ◽  
Data Integration System ◽  
Warning Model

Sepsis is an essential issue in critical care medicine, and early detection and intervention are key for survival. We established the sepsis early warning system based on a data integration platform that can be implemented in ICU. The sepsis early warning module can detect the onset of sepsis 5 hours proceeding, and the data integration platform integrates, standardizes, and stores information from different medical devices, making the inference of the early warning module possible. Our best early warning model got an AUC of 0.9833 in the task of detect sepsis in 4 hours proceeding on the open-source database. Our data integration platform has already been operational in a hospital for months.

Early-Warning Model for Tourism Environment Carrying Capacity in Scenic Spots Based on Fuzzy Inference

2012 ◽  
Vol 605-607 ◽  
pp. 2405-2408
Author(s):  
Xiu Ping Yang ◽  
Er Chao Li
Keyword(s):  
Mathematical Model ◽  
Nonlinear System ◽  
Early Warning ◽  
Carrying Capacity ◽  
Early Warning System ◽  
Fuzzy Inference ◽  
Warning System ◽  
Inference System ◽  
Early Warning Model ◽  
Warning Model

Early-warning system of tourism environment carrying capacity (TECC) in scenic spots is a highly complicated nonlinear system. It is very difficult to establish an accuracy mathematical model. Fuzzy inference system adapts to the nonlinear system that doesn’t get an accuracy mathematical model and has uncertain factor. It has strong robustness and adaptability. Index of early-warning system of TECC in scenic spots is established, extracts fuzzy rules based on historical data, and simulates the early-warning system based on fuzzy inference. At last, taking Nandaihe international amusement centre scenic spot as an example proves that the early-warning model designed is feasible and effective.

scholarly journals Research on Early Warning of Ship Danger Based on Composition Fuzzy Inference

2020 ◽  
Vol 8 (12) ◽  
pp. 1002
Author(s):  
Zhiying Guan ◽  
Yan Wang ◽  
Zheng Zhou ◽  
Hongbo Wang
Keyword(s):  
Collision Avoidance ◽  
Early Warning ◽  
Fuzzy Inference ◽  
Domain Size ◽  
Domain Model ◽  
Collision Risk ◽  
International Regulation ◽  
Inference System ◽  
Ship Collision ◽  
Marine Accidents

Ship collision avoidance measures are important for reducing marine accidents caused by human factors and various natural environmental factors and can also prevent property loss and casualties. In recent years, various methods have been used to study collision avoidance, including ship domain models. This paper proposes a ship domain model based on fuzzy logic aimed at providing early warning of ship collision risk and a reasonable reference that can be used in combination with the International Regulation for Preventing Collisions at Sea (COLREGs). The composition fuzzy inference combining more than one fuzzy inference process is first used to introduce as many factors as possible related to ship collision risk for calculating the ship domain. In this way, the calculation of the ship domain size is more accurate, and a more accurate reference can be provided to sailors, which could save both time and labor by reducing errors. A fuzzy inference system based on if-then fuzzy rules was established in MATLAB and simulation experiments were conducted. The simulation results suggest that the proposed method is feasible and can help sailors make subjective decisions to effectively avoid the occurrence of collision accidents.

Early-Warning Research for Carrying Capacity in Scenic Spots and its Application

2013 ◽  
Vol 373-375 ◽  
pp. 2209-2213
Author(s):  
Xiu Ping Yang ◽  
Er Chao Li
Keyword(s):  
Early Warning ◽  
Carrying Capacity ◽  
Early Warning System ◽  
Warning System ◽  
Quantitative Model ◽  
Early Warning Model ◽  
Predict Model ◽  
Warning Model ◽  
Model Support

The paper deeply studies early-warning system of carrying capacity in scenic spots, providing quantitative model support for early-warning system of carrying capacity. Indexes of early-warning system of carrying capacity in scenic spots is established, use GM(1,1) model to construct warning degree predict model. At last, Jifa agricultural ecological sightseeing garden as an example proves that the early-warning model designed is feasible and effective.

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