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Wyszukujesz frazę "automatic data identification" wg kryterium: Temat


Tytuł:
The impact of new technologies on supply chain management in the armed forces
Autorzy:
Malinowski, Z.
Powiązania:
https://bibliotekanauki.pl/articles/347354.pdf
Data publikacji:
2017
Wydawca:
Akademia Wojsk Lądowych imienia generała Tadeusza Kościuszki
Tematy:
supply chain
management
new technologies
automatic identification
electronic data interchange
Opis:
The aim of this article is to analyze the impact of new technologies on supply chain management in the Armed Forces. The supply chain is not limited to the operations related to the physical movement of goods, but also includes the management of relations with suppliers and customers. However, the supply chain management, through the integration and coordination of both information and goods flow, is a main factor of the well-developed customer service. The changes in military logistics imposed the necessity of implementation of the modern information technologies in the Polish Armed Forces. The Polish Army has adopted the Integrated Multi-level Information System of the Ministry of Defense (ZWSI RON). The article describes various technologies used in supply chain management including information, communication and automatic identification technologies. The author emphasizes that modern technologies are essential to enhance supply chain competitiveness and performance by improving the overall effectiveness and efficiency of the logistic system. Moreover, implementing of various innovative technologies shortens the time required for the fulfillment of tasks as well as reduces their labor consumption.
Źródło:
Zeszyty Naukowe / Wyższa Szkoła Oficerska Wojsk Lądowych im. gen. T. Kościuszki; 2017, 4; 231-248
1731-8157
Pojawia się w:
Zeszyty Naukowe / Wyższa Szkoła Oficerska Wojsk Lądowych im. gen. T. Kościuszki
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of AIS data for qualitative and quantitative analysis of ship traffic flows
Autorzy:
Naus, Krzysztof
Wąż, Mariusz
Powiązania:
https://bibliotekanauki.pl/articles/316633.pdf
Data publikacji:
2019
Wydawca:
Instytut Naukowo-Wydawniczy "SPATIUM"
Tematy:
automatic identification system
qualitative and quantitative analysis
processing AIS data
Opis:
The article presents the idea of method of processing AIS data into information useful for qualitative and quantitative analysis of ship traffic flows. In the introduction the manner of exchanging and storing data in AIS was generally characterised. An original programme for creating maps of ship traffic intensity and tabular ship profiles was described in the main part. The last part presents analysis of ship traffic flows in the Gdańsk Bay in the year 2017, conducted with the use of the original software.
Źródło:
Autobusy : technika, eksploatacja, systemy transportowe; 2019, 20, 12; 237-240
1509-5878
2450-7725
Pojawia się w:
Autobusy : technika, eksploatacja, systemy transportowe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Study Reliability of the Information About the CPA and TCPA Indicated by the Ships AIS
Autorzy:
Wawruch, R.
Powiązania:
https://bibliotekanauki.pl/articles/117321.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
maritime-related data
AIS Data
Automatic Identification System (AIS)
CPA
TCPA
ARPA
reliability of information
colregs
Opis:
According to the IMO recommendation when the target data from AIS and radar tracking are both available and the association criteria are fulfilled such that the AIS and radar information are considered as for one physical target, then as a default condition in radar equipment, the AIS target symbol and the alphanumerical AIS target data should be automatically selected and displayed only. The article presents research conducted in real conditions on the reliability of information presented by the ship's AIS about the passing distance with the other vessel equipped with AIS and time to pass it by comparing data from the AIS with that presented by ARPA.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2016, 10, 3; 417-424
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ship Behavior Analysis for Real Operating of Container Ships Using AIS Data
Autorzy:
Gao, X.
Makino, H.
Furusho, M.
Powiązania:
https://bibliotekanauki.pl/articles/116131.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
Automatic Identification System (AIS)
AIS Data
Container Ship
Real Operating of Container Ships
Opis:
The aim of this paper is to understand the real activity and operating situation of container ships in order to improve navigation efficiency. The study focused on the navigation for an entire ship voyage to understand the real activity of container ships using the historical ship navigation based on Automatic Identification System (AIS) data, which is possible so as to unveil the characteristics of real ship activity. The analysis considers ship voyages in the Seto Inland Sea and its oceanic waters, which are the primary traffic routes for container transportation particularly for China, Japan, and South Korea. The results of this study can be used to improve the efficiency of container ships and develop a smoother maritime transportation.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2016, 10, 2; 213-220
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Expanding the possibilities of AIS data with heuristics
Autorzy:
Smestad, B.B.
Rødseth, Ø.J.
Asbjjørnslett, B.E.
Powiązania:
https://bibliotekanauki.pl/articles/116611.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
Automatic Identification System (AIS)
AIS Data
heuristics
commercial ship data registers
heuristic training
heuristic testing
satellite AIS Data
commercial vessel database
Opis:
Automatic Identification System (AIS) is primarily used as a tracking system for ships, but with the launch of satellites to collect these data, new and previously untested possibilities are emerging. This paper presents the development of heuristics for establishing the specific ship type using information retrieved from AIS data alone. These heuristics expand the possibilities of AIS data, as the specific ship type is vital for several transportation research cases, such as emission analyses of ship traffic and studies on slow steaming. The presented method for developing heuristics can be used for a wider range of vessels. These heuristics may form the basis of large-scale studies on ship traffic using AIS data when it is not feasible or desirable to use commercial ship data registers.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2017, 11, 2; 279-286
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Study of Correlation between Fishing Activity and AIS Data by Deep Learning
Autorzy:
Shen, K. Y.
Chu, Y. J.
Chang, S. J.
Chang, S. M.
Powiązania:
https://bibliotekanauki.pl/articles/1841621.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
AIS Data
deep learning framework
learning methods
Recurrent Neural Network
(RNN)
Automatic Identification System
(AIS)
fishing operation
Opis:
Previous researches on the prediction of fishing activities mainly rely on the speed over ground (SOG) as the referential attribute to determine whether the vessel is navigating or in fishing operation. Since more and more fishing vessels install Automatic Identification System (AIS) either voluntarily or under regulatory requirement, data collected from AIS in real time provide more attributes than SOG which may be utilized to improve the prediction. To be specific, the ships' trajectory patterns and the changes in course become available and should be considered. This paper aims to improve the accuracy in the identification of fishing activities. First, we do feature extraction from the AIS data of coastal waters around Taiwan and build a Recurrent Neural Network (RNN) model. Then, the activity data of fishing vessels are divided into fishing and non-fishing. Finally, based on the testing by feeding various fishing activity data, we can identify the fishing status automatically.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2020, 14, 3; 527-531
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of satellite AIS Data to derive weather judging criteria for voyage route selection
Autorzy:
Fujii, M.
Hashimoto, H.
Taniguchi, Y.
Powiązania:
https://bibliotekanauki.pl/articles/116513.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
Automatic Identification System (AIS)
AIS Data
voyage route selection
route planning
satellite AIS Data
North Pacific Ocean
weather forecast
decision-making criteria
Opis:
The operational limitations are discussed at the IMO as a part of the second generation intact stability criteria. Since it is a first attempt to introduce operational efforts into safety regulations, comprehensive discussions are necessary to realize practically acceptable ones. Therefore this study investigates actual navigation routes of container ships and pure car carriers in the trans-North Pacific Ocean in winter, because they are prone to suffer significant parametric roll which is one of stability failure modes. Firstly, interviews are made to shipmasters who have experiences to have operated the subject ships to identify major elements for route selection in the North Pacific Ocean. Secondly, sufficient number of actual navigation records is collected from Satellite AIS data to derive the weather criteria for the route selection in severe weather condition. Finally, shipmaster’s on-board decision-making criteria are discussed by analysing the ship tracking data and weather data.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2017, 11, 2; 271-277
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Comparison Study on AIS Signal Reception Rate with Directional Antenna and Omni Antenna
Autorzy:
Xu, T.
Hu, Q.
Xiang, Z.
Yang, C.
Wang, D.
Powiązania:
https://bibliotekanauki.pl/articles/116436.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
Automatic Identification System (AIS)
AIS Signal
AIS Data
Yagi antenna
Omni antenna
Directional Antenna
reception rate
VHF Technology
Opis:
With the wide use of AIS system in the world, especially in ports and the waters with heavy traffic, AIS message loss may be related to environmental conditions, obstacle, limitation of VHF technology and AIS network overload, thereby reducing the AIS signal successful reception rate. This paper selected typical AIS data received by Yagi and Omni antennas at the same time in specific waters, uses grid and AIS data recovery technology, establishes the AIS signal coverage model, analyzes signal reception rate of Yagi antenna and Omni antenna of AIS base station, and verified the superiority of Yagi antenna in AIS signal reception rate.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2016, 10, 2; 205-211
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Research study and the model for improving the safety of navigation when using the AIS
Autorzy:
Medić, D.
Bukljaš, M.
Bošnjak, R.
Vukša, S.
Powiązania:
https://bibliotekanauki.pl/articles/2063973.pdf
Data publikacji:
2021
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
Safety at Sea
Safety of Navigation
Automatic Identification System
AIS Data
Adriatic Sea
Improving the Safety
Maritime Safety
Opis:
The use of the Automatic Identification System (AIS) devices for ensuring the safety of navigation and the errors occurring when using AIS equipment have been the focus of a number of research studies. The users of AIS equipment installed onboard sea-going vessels are required to familiar with the proper use of the devices and potential errors that may occur. A significant problem revealed in this study is the lack of understanding of potential error sources and the necessity to eliminate such errors prior to transmission of the AIS data message reading of the errors and failure to update the data processed by the AIS system. This results in a hypothesis on the insufficient training of seafarers and their familiarisation with the AIS devices and errors. This research is aimed at increasing the safety of navigation in the Adriatic Sea, as well as other seas, i.e. better accident prevention and protection of human life and material property at sea. The results produced by the research are used as an input for creating a model for enhancing the safety of navigation when using the AIS, through additional training of the seafarers.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2021, 15, 3; 577--582
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Maritime Traffic Situations in Bornholmsgat
Autorzy:
Olindersson, F.
Janson, C. E.
Dahlmann, J.
Powiązania:
https://bibliotekanauki.pl/articles/116033.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
Maritime Traffic
Baltic Sea
Bornholmsgat
COLREGs
AIS Data
Automatic Identification System (AIS)
Collision Avoidance
Traffic Separation Scheme (TSS)
Opis:
Maritime traffic situations is regulated in the Convention on the International Regulations for Preventing Collisions at Sea (COLREGs), but how well are these rules followed by officers on board vessels? When the world shipping fleet grow and the traffic becomes more intensive, the risk of collision increase. By analysing AIS data from vessels in the traffic separation scheme Bornholmsgat during 24 hours in December 2013, 421 traffic situations were found where the passing distance between the vessels were less than 1.5 nautical miles. The compliance with the Convention on the International Regulations for Preventing Collisions at Sea (COLREGs) seems to be good, but the average avoiding action is less than the recommended manoeuver.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2015, 9, 1; 115-120
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ship route planning using historical trajectories derived from AIS Data
Autorzy:
He, Y. K.
Zhang, D.
Zhang, J. F.
Zhang, M. Y.
Li, T. W.
Powiązania:
https://bibliotekanauki.pl/articles/116536.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
AIS Data
Automatic Identification System (AIS)
route planning
historical trajectories
AIS messages
marine traffic
Dijkstra algorithm
ant colony algorithm
Opis:
Ship route planning is one of the key issues in enhancing traffic safety and efficiency. Many route planning methods have been developed, but most of them are based on the information from charts. This paper proposes a method to generate shipping routes based on historical ship tracks. The ship's historical route information was obtained by processing the AIS data. From which the ship turning point was extracted and clustered as nodes. The ant colony algorithm was used to generate the optimize route. The ship AIS data of the Three Gorges dam area was selected as a case study. The ships’ optimized route was generated, and further compared with the actual ship's navigation trajectory. The results indicate that there is space of improvement for some of the trajectories, especially near the turning areas.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 1; 69-76
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An Algorithm for Interpolating Ship Motion Vectors
Autorzy:
Hu, Q.
Cai, F.
Yang, C.
Shi, C.
Powiązania:
https://bibliotekanauki.pl/articles/116863.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
Ship Motion
Ship Motion Vector
Automatic Identification System (AIS)
AIS Dynamic Information
Algorithm, Ship's Acceleration
AIS Data
Vector Function
Opis:
Interpolation of ship motion vectors is able to be used for estimating the lost ship AIS dynamic information, which is important for replaying marine accidents and for analysing marine traffic data. The previous methods can only interpolate ship’s position, while not including ship's course and speed. In this paper, vector function is used to express the relationship between the ship’s time and space coordinates, and the tangent of the vector function and its change rate are able to express physical characteristics of ship’s course, speed and acceleration. The given AIS dynamic information can be applied to calculate the parameters of ship's vector function and then the interpolation model for ship motion vectors is developed to estimate the lost ship dynamic information at any given moment. Experiment results show that the ship motion vector function is able to depict the characteristics of ship motions accurately and the model can estimate not only the ship’s position but also ship’s course and speed at any given moment with limited differences.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2014, 8, 1; 35-40
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Identifying and Analyzing Safety Critical Maneuvers from High Resolution AIS Data
Autorzy:
Mestl, T.
Tallakstad, K.T.
Castberg, R.
Powiązania:
https://bibliotekanauki.pl/articles/117375.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
AIS Data
Automatic Identification System (AIS)
High Resolution AIS Data
Critical Maneuvers
1-2-3 Rule
vessel traffic service (VTS)
AIS Transponder
Safety of Navigation
Opis:
We demonstrate the value in previously disregarded parameters in AIS data, and present a novel way of quickly identifying and characterizing potentially safety critical situations for vessels with a properly configured AIS transponder. The traditional approach of studying (near) collision situations, is through vessel conflict zones, based on vessel location and speed from low resolution AIS data. Our approach utilizes the rate of turn parameter in the AIS signal, at maximum time resolution. From collision investigation reports it is often seen that prior to or at collision navigators perform frenetic rudder actions in the hope to avoid collision in the last second. These hard maneuverings are easily spotted as non-normal rate of turn signals. An identified potential critical situation may then be further characterized by the occurring centripetal acceleration a vessel is exposed to. We demonstrate the novelty of our methodology in a case study of a real ship collision. As the rate of turn parameter is directly linkable to the navigator behavior it provides information about when and to what degree actions were taken. We believe our work will therefore inspire new research on safety and human factors as a risk profiles could be derived based on AIS data.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2016, 10, 1; 69-77
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Use of a multiple regression model to determine the parameters of vessel traffic flow in port areas
Autorzy:
Nowy, A.
Gucma, L.
Powiązania:
https://bibliotekanauki.pl/articles/117457.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
maritime traffic engineering
vessel traffic flow
port areas
multiple regression model
fairway
fairway parameters
Automatic Identification System (AIS)
AIS Data
Opis:
The paper presents the method of determining ships traffic stream parameters by means of regression method. The aim of the studies was to determine the correlation between the ship's parameters and the parameters of the fairway. Developing the presented model with information on the position of the vessel's antenna and information on the accuracy of position determination will allow creating a model for predicting the parameters of waterways.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2020, 14, 2; 443-449
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Procedure for Marine Traffic Simulation with AIS Data
Autorzy:
Miyake, R.
Fukuto, J.
Hasegawa, K.
Powiązania:
https://bibliotekanauki.pl/articles/117537.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
AIS Data
Marine Traffic
Marine Traffic Simulation
Collision Avoidance
Automatic Identification System (AIS)
safety at sea
Traffic Simulation
Navigation Environment
Opis:
It is essential to evaluate safety of marine traffic for the improvement of efficiency and safety of marine traffic. Spread of AIS makes observation of actual marine traffic more easily and faster than before. Besides, description of collision avoidance behaviours of ships are indispensable to simulate a realistic marine traffic. It is important to develop and implement an algorithm of collision avoidance corresponding to a target traffic or target area into the marine traffic simulation because actual actions for collision avoidance depend on circumstances where ships are sailing. The authors developed an automated marine traffic simulation system with AIS data. And in this paper, we proposed a series of systematic procedures for marine traffic simulation including analysing for collision avoidance behaviours using AIS data.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2015, 9, 1; 59-66
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł

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