{"title":"Current ecological state of the Nakhodka Bay, Sea of Japan","authors":"N. Khristoforova, S. Senotrusova","doi":"10.1109/ICOS55803.2022.10033364","DOIUrl":"https://doi.org/10.1109/ICOS55803.2022.10033364","url":null,"abstract":"Based on the analysis of the Reports on the ecological state of Primorsky Krai in 2020 and 2021, in addition to data from the state monitoring of coastal and marine waters and other sources in recent years, the change in the state of both the Nakhodka Bay as a whole and its most important port waters - Nakhodka and Wrangel Harbors over the past decade is presented. The emphasis is primarily put on the pollution of coastal and marine waters with petroleum hydrocarbons and phenols. Phenolic pollution does not decrease against the background of a slight decrease in oil pollution of waters.","PeriodicalId":263531,"journal":{"name":"2022 International Conference on Ocean Studies (ICOS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116660587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Timoshenko Alexander, Zuev Alexander, Mursalimov Eduard, Gribova Valeria, Inzartsev Alexander
{"title":"Description and fault diagnosis in autonomous underwater vehicles based on ontologies","authors":"Timoshenko Alexander, Zuev Alexander, Mursalimov Eduard, Gribova Valeria, Inzartsev Alexander","doi":"10.1109/ICOS55803.2022.10033380","DOIUrl":"https://doi.org/10.1109/ICOS55803.2022.10033380","url":null,"abstract":"The paper proposes new ontologies for describing and diagnosing malfunctions of subsystems of autonomous underwater vehicles (AUV) as a part of the development of a previously created approach to the intelligent diagnosis of these vehicles using knowledge bases. To implement this approach, it is proposed to use two knowledge bases, one of which describes malfunctions, features for their identification and actions necessary to adapt to the negative consequences caused by the appearance of these malfunctions. The other database contains information about the main subsystems of the AUV, devices and replaceable modules, as well as the states they may be in. Knowledge bases are used in the work of the intelligent control-emergency system (ICES) on board the AUV, which allows for comprehensive functional diagnostics of all subsystems of the device, including payload modules, as well as adaptation to the consequences of emerging malfunctions, taking into account the actual cause-and-effect relationships between them. To test the system’s operability, a prototype was developed. The results of the prototype simulation showed that ICES performs the tasks and can be implemented on the onboard computers of existing AUV using well-known programming technologies.","PeriodicalId":263531,"journal":{"name":"2022 International Conference on Ocean Studies (ICOS)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124094795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Developing the Multilink Manipulator System for an Autonomous Underwater Vehicle","authors":"V. Kostenko, A. Bykanova, A. Tolstonogov","doi":"10.1109/ICOS55803.2022.10033371","DOIUrl":"https://doi.org/10.1109/ICOS55803.2022.10033371","url":null,"abstract":"The article considers to development and integration of a multilink manipulator to AUV “MMT-3500” developed by Institute of Marine Technology Problems FEB RAS (Vladivostok, Russia). The manipulator is designed for collecting samples of marine organisms and bottom soil by the vehicle hovering over the object of the interests.A kinematic layout of the manipulator is proposed in the article. The layout provides control of the manipulator end-effector with given coordinates inside a working area of a computer vision system.The design overview and software control scheme of the manipulator are described in the article. The design overview of manipulator arms and it’s effectors are described and presented.","PeriodicalId":263531,"journal":{"name":"2022 International Conference on Ocean Studies (ICOS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126278751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ICOS 2022 Section I Breaker Page","authors":"","doi":"10.1109/icos55803.2022.10033344","DOIUrl":"https://doi.org/10.1109/icos55803.2022.10033344","url":null,"abstract":"","PeriodicalId":263531,"journal":{"name":"2022 International Conference on Ocean Studies (ICOS)","volume":"7 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131575634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dmitry A. Shoev, A. Ostrovskii, O. Kochetov, A. Zatsepin, N. Korovchinsky
{"title":"Continued Development of the Autom?ted Tethered Profiler Winchi","authors":"Dmitry A. Shoev, A. Ostrovskii, O. Kochetov, A. Zatsepin, N. Korovchinsky","doi":"10.1109/ICOS55803.2022.10033382","DOIUrl":"https://doi.org/10.1109/ICOS55803.2022.10033382","url":null,"abstract":"This article describes a new tethered profiler Winchi designed as a compact, easily deployed device for measurements of aquatic parameters from 60 m depth to air-water boundary. The profiler is capable of working from subsurface buoy or bottom anchor. It can obtain the long time series of the depth profiles of aquatic parameters during 6 months if measured once per day. Preliminary results of the profiler’s evaluation are also presented.","PeriodicalId":263531,"journal":{"name":"2022 International Conference on Ocean Studies (ICOS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124876765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ICOS 2022 Section III & IV Breaker Page","authors":"","doi":"10.1109/icos55803.2022.10033361","DOIUrl":"https://doi.org/10.1109/icos55803.2022.10033361","url":null,"abstract":"","PeriodicalId":263531,"journal":{"name":"2022 International Conference on Ocean Studies (ICOS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129467171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. Shurygin, V. Serov, I. Kovshov, Sergey Ustinov, Vitaliy Platonov
{"title":"Mobile robotic systems for sealing of underwater wells in case of oil and gas blowouts","authors":"V. Shurygin, V. Serov, I. Kovshov, Sergey Ustinov, Vitaliy Platonov","doi":"10.1109/ICOS55803.2022.10033394","DOIUrl":"https://doi.org/10.1109/ICOS55803.2022.10033394","url":null,"abstract":"The problem of sealing of emergency underwater flowing oil ang gas wells using mobile robotic systems is discussed in the article. Technologies for installing preventers on gushing wells using the underwater mobile robots (platforms) and pontoons using robotic anchor-cable system are proposed. The use of underwater mobile platforms with walking propulsions is considered. Using an orthogonal walking mover provides the necessary passability and maneuverability of the platform when working in an underwater field, positioning accuracy at the wellhead, and installation of a preventer without a crane device. The results of computer modeling of a blowing gas at underwater fields are presented. The advantages of the proposed sealing technologies are the ability to work in conditions of ice cover and significant sea disturbance, reduction of the duration of work to eliminate an accident at an underwater oil and gas field and the possibility of continuing oil and gas production. The main directions for future researches are outlined.","PeriodicalId":263531,"journal":{"name":"2022 International Conference on Ocean Studies (ICOS)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128329677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Strobykin, Y. Morgunov, V. Bezotvetnykh, A. Golov
{"title":"Experimental Testing of the Developed Hydroacoustic Autonomous Combined System for an Underwater Acoustic Source Direction-Finding","authors":"D. Strobykin, Y. Morgunov, V. Bezotvetnykh, A. Golov","doi":"10.1109/ICOS55803.2022.10033341","DOIUrl":"https://doi.org/10.1109/ICOS55803.2022.10033341","url":null,"abstract":"This paper presents details on the developed autonomous hardware system which includes the combined receiving system (the vector sensor array, e.g. vector receiver, combined with an undirected hydrophone) and the system position sensors. The results of two unique experiments carried out in the shallow zone of the Vityaz Bay during the summer season are discussed in the paper. The experiments were aimed at the underwater acoustic source direction finding using the mentioned system. The towed narrow band electromagnetic source with the hydrostatic system for pressure compensation was used as a tracked source. Using the Goertzel algorithm for signal magnitude on specific frequency estimation and robust atan2 processing to determine the azimuthal angle to the source within a quadrant, it was found that the developed system makes it possible to estimate bearing on an underwater acoustic source with the precision of less than 10 degrees in more than 85% of the measurements in conditions of both experiments.","PeriodicalId":263531,"journal":{"name":"2022 International Conference on Ocean Studies (ICOS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130798441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. Solbakov, S. Zatsepa, Aleksander Ivchenko, Y. Yurezanskaya
{"title":"Computation of areas of probable detection of oil pollution on the sea surface as valuation of the spatial uncertainty in oil spill modelling","authors":"V. Solbakov, S. Zatsepa, Aleksander Ivchenko, Y. Yurezanskaya","doi":"10.1109/ICOS55803.2022.10033348","DOIUrl":"https://doi.org/10.1109/ICOS55803.2022.10033348","url":null,"abstract":"We present a new method for a quantitative estimation of the areas of probable detection of oil pollution on the sea surface as evaluation of the spatial uncertainty in oil spill modeling. Unavoidable errors in the assessment of wind and currents forcing are the reason for presenting the simulated oil spill position as a coordinates probability density function (PDF). The Fokker-Planck equation is used to calculate the PDF at any time after oil discharge. The method allows to build a stable estimate for the boundaries of the area in which an oil spill can be detected with a given probability level. The model can be used for both instantaneous point source spill and distributed continuous source spill. The computation was illustrated by simulations that were made for a hypothetical oil spill with the use of operational hydrometeorological forecasts in the Arctic region. The described approach is suitable for joint use with any oil spill model on the sea surface as means for constructing zones of possible spill detection to support the responders’ requirements. Results of the calculations presented as polygons with a given probability assigned can be implemented in any GIS.","PeriodicalId":263531,"journal":{"name":"2022 International Conference on Ocean Studies (ICOS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125366947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automated sea vehicle classification system based on neural network","authors":"D. Kuzin, L. Statsenko, Maria Smirnova","doi":"10.1109/ICOS55803.2022.10033384","DOIUrl":"https://doi.org/10.1109/ICOS55803.2022.10033384","url":null,"abstract":"Automated marine objects identification and classification based on their underwater acoustic sounds is an important task for water areas monitoring and ocean exploration. The key steps in object recognition are the features extracted from the marine object underwater sounds and classifier selection. Paper describes acoustic features analysis, which contains a comparison between the use of one feature and the use of various features sets. Classification results of classical machine learning methods and artificial neural network are given. Research was performed on a large volume of real acoustic records of sea vessels underwater sounds, recorded in the waters of Peter the Great Bay. Database contains about 20 GB of “.wav” files with different sea vessels classes. Developed automated classification system based on pre-trained neural network and proposed acoustic features set allows to achieve 80% prediction accuracy (F score). Features set consist of GFCCs, chroma features, CQT, spectral bandwidth and spectral centroid. The system successfully predicts the ship class even in the presence of noises.","PeriodicalId":263531,"journal":{"name":"2022 International Conference on Ocean Studies (ICOS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123669824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}