نتایج جستجو برای: automatic train control
تعداد نتایج: 1488171 فیلتر نتایج به سال:
Purpose: The aim of the current study was to investigate the effectiveness of schema therapy and mindfulness based cognitive therapy on the rate of using negative automatic thoughts in women with major depression in Mashhad. Participants were 36 depressed women clients, randomly selected and randomly designated to 3 groups (two experimental group and control group). Materials and method: This s...
In this paper, a control system is designed for automatic car turning. At first, the necessary information of car turning that were collected from the traffic bylaw, car driving training centers and traffic police are explained. Then, car turning is studied experimentally on several streets with different widths. Afterward, a proper path is designed for the automatic car turning system consider...
The toy train is a lot of fun for children and it decorates our Christmas tree at home. However, as many users complain, toy trains may be derailed and damaged by running too fast at the bend or hitting an obstacle on track, which creates inconvenience and even money loss for toy train users [1]. Therefore, we want to design a safety control system able to detect the bend and the hazard obstacl...
Positive train control (PTC) systems are distributed interoperable systems that control the movement of passenger and freight trains, providing significant safety enhancements over traditional methods of operating railroads. Due to their reliance on wireless communications, PTC systems are vulnerable to attacks that can compromise safety and potentially cause serious accidents. Designing PTC sy...
The ferromagnetic material launcher is a coilgun that launches magnetically permeable material. This technology has both military and scientific applications such as defense, space launches, train travel, etc. This project uses principles of magnetic fields, electric circuitry, computer programming, and mobile application software in order to achieve the project goals; these being the FML capab...
In this paper, I study applying applying and adjusting DeepMind’s Atari Deep Q-Learning model to train an automatic agent to play the 1985 Nintendo game Super Mario Bros. The agent learns control policies from raw pixel data using deep reinforcement learning. The model is a convolutional neural network that trained through only raw frames of the game and basic info such as score and motion.
There are very similar features between Chinese Railways and European Railways in terms of train operation mode and train control. ETCS (European Train Control System), supported by the European Union and the European Industrials, has been finalized as the technical standard of train control systems in Europe after more than ten years effort. There is more than 71,500 kilometers of railway oper...
In many radar scenarios, the radar target or the medium is assumed to possess randomly varying parts. The properties of a target are described by a random process known as the spreading function. Its second order statistics under the WSSUS assumption are given by the scattering function. Recent developments in the operator identification theory suggest a channel sounding procedure that allows t...
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