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In order to enhance the safety of maritime transportation, index evaluation system of safe navigation in different sea areas is established based on relative data extracted and analyzed by ship-borne Automatic Identification System (AIS). Firstly, according to the AIS-based index evaluation system, a fuzzy optimization model are established based on system fuzzy decision theory and multi-objects and...
This article focuses on fuzzy set theory as intelligent tools for navigator's decision-making to improve the safety of marine vessels in collision situations. A lot of progress has been made, especially in the field of artificial intelligence. The paper goal is to develop a decision support system based on artificial intelligence to determine a ship's trajectory in a collision situation. In this present...
Collision-free is one of the major safety concerns for maritime traffic management. To analyze the collision data and understand the cause of the collision can contribute the improvement of the maritime traffic safety and management. However, the real collisions is not always available to analyze. Based on a massive AIS trajectory data collected, we focus on mining the ships' movement behaviors those...
This paper describes the proof-of-concept demonstrator implemented as part of the project Enhanced Situational Awareness to Improve Maritime Safety in the Baltic (BONUS ESABALT). The demonstrator represents the system as used in different classes of vessels including leisure craft (small boats), larger ships, and authority vessels. Various validation scenarios are implemented to demonstrate the system...
With the increasing amount of Automatic Identification System, AIS data, an effective analysis method and technology for large-scale data are a challenge. Information visualization is a suitable technology for people without professional data mining knowledge, such as navigation managers and ship drivers, for understanding mass AIS data. We implement direct and summary visualization of AIS information...
The navigation within the building is possible to display using the oriented graph. To find shortest way in the graph is possible to solve in the different mode. Our question is Is possible to predict the shortest way by artificial Intelligence, primarily by Perceptron neural network with one secret layer. During the test project was used algorithm Dijkstra [1] and was developed tool for automatic...
Business process modeling for understanding and increasing company effectivity is common today. BPM (Business Process Models) allow to describe company business processes, better understand and influence them. These tasks are done for increasing company business. Very often is ability to understand business, to open new opportunities, to make business or to design process to be fluent and understandably...
This paper summarizes the development of safety-of-life receivers for global navigation satellite systems (GNSS) that has been being conducted at the Institute of Communications and Navigation of the German Aerospace Center (DLR). Two receiver systems have already been successfully fabricated, integrated and tested by means of field experiments. Implementation issues of these two systems are described...
Agriculture is the main revenue resource of many states of India. But due to new opportunities and higher pays the strength of the labour community is getting greatly reduced. Since the farming community is unable to sustain continuation of farming, the corporate world in now becoming the caretaker of the agricultural industry. This has lead to a new era of agriculture. Today's agriculture needs to...
We propose two types of strategies for obstacle avoidance of outdoor mobile robot. One is safety channel estimation algorithm (SCEA), it is a simple and direct algorithm of obstacle avoidance by computing the largest safety-channel and then adjusting the steering angle command, this algorithm is essentially safety-first algorithm. The estimation of safety-channel ensures the vehicle to select at least...
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