scholarly journals The Sea Route Planning for Survey Vessel Intelligently Navigating to the Survey Lines

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 482
Author(s):  
Jiachen Yang ◽  
Tianlei Ni ◽  
Lin Liu ◽  
Jiabao Wen ◽  
Jingyi He ◽  
...  
Keyword(s):  
Route Planning ◽  
Monitoring Systems ◽  
Environment Monitoring ◽  
Shortest Route ◽  
Basic Measurement ◽  
Starting Point ◽  
Survey Line ◽  
Turning Radius ◽  
Minimum Turning Radius ◽  
Marine Environment Monitoring

Marine surveying is an important part of marine environment monitoring systems. In order to improve the accuracy of marine surveying and reduce investment in artificial stations, it is necessary to use high-precision GNSS for shipborne navigation measurements. The basic measurement is based on the survey lines that are already planned by surveyors. In response to the needs of survey vessels sailing to the survey line, a method framework for the shortest route planning is proposed. Then an intelligent navigation system for survey vessels is established, which can be applied to online navigation of survey vessels. The essence of the framework is that the vessel can travel along the shortest route to the designated survey line under the limitation of its own minimum turning radius. Comparison and analysis of experiments show that the framework achieves better optimization. The experimental results show that our proposed method can enable the vessel to sail along a shorter path and reach the starting point of the survey line at the specified angle.

scholarly journals Route Planner Mobile Web Application for UiTM Malaysia

2009 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Suzana Ahmad ◽  
Norizan Mat Diah ◽  
Nor Ashikin Mohamad Kamal ◽  
Siti Zalekha Mohd Jailani
Keyword(s):  
Mobile Devices ◽  
Web Application ◽  
Route Planning ◽  
Google Earth ◽  
Geospatial Data ◽  
Google Maps ◽  
Mobile Web ◽  
Web Mapping ◽  
Shortest Route ◽  
Starting Point

Services that can be accessed by users with mobile devices for the purposes of route planning are increasingly in demand. UiTM Malaysia regularly host and conduct prestigious events, which involve outside participants, and therefore the development of an accurate and concise means to guide participants around the campus is very important. Convocations, Independence Day celebrations, New Year celebrations, Seminars, local and International Conferences are examples of events regularly conducted at UiTM. A Route Planner Mobile Web Application for UiTM Malaysia has been developed to produce a list of routes from two selected points in order of the shortest first. The user can select any listed location as a starting point and any listed location as a destination. Djikstra’s algorithm has been used to find the appropriate shortest route from those two selected point. Djikstra’s algorithm together with Google Maps API and Google Earth, which are popular web mapping services providing geospatial data, have been used to develop, a prototype route planner. 

scholarly journals Compressed Sensing of 3D Marine Environment Monitoring Data Based on Spatiotemporal Correlation

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 32634-32649
Author(s):  
Ge Liu ◽  
Guosheng Rui ◽  
Wenbiao Tian ◽  
Liyao Wu ◽  
Tiantian Cui ◽  
...  
Keyword(s):  
Compressed Sensing ◽  
Marine Environment ◽  
Monitoring Data ◽  
Environment Monitoring ◽  
Spatiotemporal Correlation ◽  
Marine Environment Monitoring

scholarly journals Spatiotemporal Variability and Trends of Marine Heat Waves in the Red Sea over 38 Years

2021 ◽  
Vol 9 (8) ◽  
pp. 842
Author(s):  
Bayoumy Mohamed ◽  
Hazem Nagy ◽  
Omneya Ibrahim
Keyword(s):  
Red Sea ◽  
Heat Waves ◽  
Sea Surface ◽  
Spatiotemporal Variability ◽  
Environment Monitoring ◽  
Orthogonal Function ◽  
Sst Variability ◽  
Warming Rate ◽  
Marine Environment Monitoring ◽  
Monitoring Service

Marine heat waves (MHWs) can have catastrophic consequences for the socio-environmental system. Especially in the Red Sea, which has the world’s second longest coral reef system. Here, we investigate the sea surface temperature (SST) variability and trends, as well as the spatiotemporal characteristics of marine heat waves (MHWs) in the Red Sea, using high resolution daily gridded (1/20°) SST data obtained from the Copernicus Marine Environment Monitoring Service (CMEMS) for the period 1982–2019. Results show that the average warming rate was about 0.342 ± 0.047 °C/decade over the entire Red Sea over the whole study period. The Empirical Orthogonal Function (EOF) analysis reveals that the maximum variability is over the central part of the Red Sea, while the minimum variability is in the southernmost part of the Red Sea. Over the last two decades (2000–2019), we have discovered that the average MHW frequency and duration increased by 35% and 67%, respectively. The results illustrate that the MHW frequency and duration trends have increased by 1.17 counts/decade and 1.79 days/decade, respectively, over the study period. The highest annual MHW frequencies were detected in the years 2018, 2019, 2010, and 2017. A strong correlation (R = 0.89) was found between the annual MHW frequency and the annual mean SST.

Implementation of Marine Environment Monitoring Data Quality Control System

2014 ◽  
Vol 926-930 ◽  
pp. 4254-4257 ◽  
Author(s):  
Jin Xu ◽  
Da Tao Yu ◽  
Zhong Jie Yuan ◽  
Bo Li ◽  
Zi Zhou Xu
Keyword(s):  
Quality Control ◽  
Control System ◽  
Data Quality ◽  
Marine Environment ◽  
Quality Control System ◽  
Monitoring Data ◽  
Environment Monitoring ◽  
Data Quality Control ◽  
Labor Costs ◽  
Marine Environment Monitoring

Traditional artificial perception quality control methods of marine environment monitoring data have many disadvantages, including high labor costs and mistakes of data review. Based on GIS spatial analysis technology, Marine Environment Monitoring Data Quality Control System is established according to the Bohai Sea monitoring regulation. In the practical application process, it plays the role of improving efficiency of quality control, saving the manpower and financial resources. It also provides an important guarantee for the comprehensive analysis and management of marine environment data.

scholarly journals Implementation and validation of a new operational wave forecasting system of the Mediterranean Monitoring and Forecasting Centre in the framework of the Copernicus Marine Environment Monitoring Service

2018 ◽  
Vol 18 (10) ◽  
pp. 2675-2695 ◽  
Author(s):  
Michalis Ravdas ◽  
Anna Zacharioudaki ◽  
Gerasimos Korres
Keyword(s):  
Mediterranean Sea ◽  
Marine Environment ◽  
Model Performance ◽  
Environment Monitoring ◽  
Marine Research ◽  
Forecasting System ◽  
The Mediterranean ◽  
Marine Environment Monitoring ◽  
Monitoring Service ◽  
Wave Forecasting

Abstract. Within the framework of the Copernicus Marine Environment Monitoring Service (CMEMS), an operational wave forecasting system for the Mediterranean Sea has been implemented by the Hellenic Centre for Marine Research (HCMR) and evaluated through a series of preoperational tests and subsequently for 1 full year of simulations (2014). The system is based on the WAM model and it has been developed as a nested sequence of two computational grids to ensure that occasional remote swell propagating from the North Atlantic correctly enters the Mediterranean Sea through the Strait of Gibraltar. The Mediterranean model has a grid spacing of 1∕24∘. It is driven with 6-hourly analysis and 5-day forecast 10 m ECMWF winds. It accounts for shoaling and refraction due to bathymetry and surface currents, which are provided in offline mode by CMEMS. Extensive statistics on the system performance have been calculated by comparing model results with in situ and satellite observations. Overall, the significant wave height is accurately simulated by the model while less accurate but reasonably good results are obtained for the mean wave period. In both cases, the model performs optimally at offshore wave buoy locations and well-exposed Mediterranean subregions. Within enclosed basins and near the coast, unresolved topography by the wind and wave models and fetch limitations cause the wave model performance to deteriorate. Model performance is better in winter when the wave conditions are well defined. On the whole, the new forecast system provides reliable forecasts. Future improvements include data assimilation and higher-resolution wind forcing.

scholarly journals Designing innovative services for marine environment monitoring using earth-observation tools in the frame of the pre-commercial procurement project MARINE-EO

2018 ◽  
Author(s):  
Ioanna Varkitzi ◽  
Anestis Trypitsidis ◽  
Alkis Astyakopoulos ◽  
Constantinos Rizogiannis ◽  
Beatriz Gómez Miguel ◽  
...  
Keyword(s):  
Marine Environment ◽  
Earth Observation ◽  
Environment Monitoring ◽  
Observation Tools ◽  
Marine Environment Monitoring

scholarly journals Implementasi Honey Bee Mating Optimization Pada Vehicle Routing Problem With Time Windows Dalam Perencanaan Jalur Wisata Malang

Repositor ◽  
2020 ◽  
Vol 2 (4) ◽  
pp. 495
Author(s):  
M Syawaluddin Putra Jaya ◽  
Yufiz Azhar ◽  
Nur Hayatin
Keyword(s):  
Honey Bee ◽  
Royal Jelly ◽  
Time Windows ◽  
Route Planning ◽  
Routing Problem ◽  
Capacity Limit ◽  
Shortest Route ◽  
Mutation Ratio ◽  
Bee Colonies ◽  
Honey Bee Mating Optimization

Abstrak Vahicle Routing Problem adalah suatu masalah pencaian jalur yang akan dilalui dengan tujuan mencari rute yang paling cepat atau pendek. Vahicle Routing Problem with Time Windows (VRPTW) yang merupakan sebutan bagi VRP dengan kendala tambahan berupa adanya time windows pada masing-masing pelanggan yang dalam hal ini berupa destinasi wisata. Dalam penelitian ini diterapkan Honey Bee Mating Optimization (HBMO) dalam menyelesaikan VRPTW. HBMO sendiri terinspirasi oleh perilaku koloni lebah ketika bereproduksi. Algoritma tersebut bertujuan untuk mengevaluasi pencarian individu atau solusi terbaik. Tujuan dari penelitian ini adalah bagaimana mengimplementasikan Honey Bee Mating Optimization dalam menyelesaikan VRPTW pada perencanaan jalur wisata di Malang. Sehingga dapat meminimumkan waktu dan jarak tempuh perjalanan. Berdasarkan hasil pengujian, parameter yang optimal untuk optimasi VRPTW menggunakan HBMO pada kasus perencannan jalur wisata Malang yaitu dengan menggunakan 800 generasi, populasi lebah jantan sebesar 300, batas kapasitas spermatheca sejumlah 100, nilai mutation ratio (Pm) dan royal jelly masing-masing bernilai 0.5.Abstract Vahicle Routing Problem is a problem of finding the best route that will be passed with the purpose to finding the fastest or shortest route. Vahicle Routing Problem with Time Windows (VRPTW) is a part of VRP with additional obstacles in the form of time windows in each customer. In this research, Honey Bee Mating Optimization (HBMO) was applied to completing VRPTW. HBMO itself was inspired by the behavior of bee colonies when reproducing. The purpose of this algorithm is to evaluate the best individual or the best solutions. The purpose of this research is how to implement Honey Bee Mating Optimization to completing VRPTW in Malang tourism route planning. So that it can minimize travel time and distance. Based on the results of the testing, the optimal parameters for VRPTW optimization using HBMO in Malang tourism route planning case are using 800 generations, the male bee population is 300, the capacity limit of spermatheca is 100, the mutation ratio (Pm) and royal jelly are respectively 0.5.

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