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Africa 
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Content Distribution
Published in Lars-Ingemar Lundström, Digital Signage Broadcasting, 2013
Neither the person in charge of the content delivery nor the person receiving the content has to be at the same location as the FTP server. Using an FTP site, many people at many locations can upload or download content to the FTP server. This is one of the most interesting and most beneficial characteristics of digital signage: Most things can be done from everywhere.
Image space trajectory tracking of 6-DOF robot manipulator in assisting visual servoing
Published in Automatika, 2022
Megha G. Krishnan, Ashok Sankar
A remote PC installed with MATLAB 2018a is communicated with ABB robot controller IRC5 through a File Transfer Protocol (FTP). FTP server on the IRC5 responds to a request from an FTP client on a remote computer. MATLAB provides the basic platform for the programming and control algorithm implementation and acts as the client for FTP communication. MATLAB takes input from the camera and current pose from the IRC5 controller, then performs image processing and implements the proposed control algorithm to predict the new camera pose. The control output is transferred to the controller through Ethernet port as files and that is how the visual servoing task is achieved in real-time [28,29]. The experimental setup is shown in Figure 15.
The first world championship in cybernetic building optimization
Published in Journal of Building Performance Simulation, 2020
Eisuke Togashi, Masato Miyata, Yoshihide Yamamoto
Following the success of The Great Energy Predictor Shootout, a second competition was held in 1994 (Haberl and Thamilseran 1996). In addition to the university facilities that were targeted during the first round of the competition, university facilities with a total floor area of approximately 14,000 m2 were added to the prediction target. The training data were placed on an FTP server, making it possible for any individual to obtain the data necessary for participation. Despite this, there were fewer participants than in the first round: only 50 individuals accessed the ‘readme.txt’ on the FTP server describing the details of the competition; 11 individuals downloaded the data used in the competition and only 4 teams participated in and completed the competition. An additional goal of this second competition was to evaluate the energy savings of a retrofitted building. The participants were first given training and test data for both buildings prior to the energy saving improvement, and they competed in predicting the modeled energy performance in the same manner as in the first contest. They were then provided operational data obtained after the retrofit and tasked with modeling the effects of the retrofit based on the difference between the pre- and post-energy consumption. The effect of the retrofit was then estimated from the difference between this value and the actual measured one.
Geospatial web services pave new ways for server-based on-demand access and processing of Big Earth Data
Published in International Journal of Digital Earth, 2018
Julia Wagemann, Oliver Clements, Ramiro Marco Figuera, Angelo Pio Rossi, Simone Mantovani
The current alternative to the match-up tool based on a WCS would be to download the necessary data via a file transfer protocol (FTP) server. The user would then need to write custom code to extract the data values for one specific point location that matches the in-situ value. This approach has two drawbacks: (i) the required data transfer and (ii) the required processing capacities. As an example, even if a user is only interested in one chlorophyll value, an image of at least 4 GB has to be downloaded. With the help of a custom processing routine, the single value required could be retrieved. This process requires a lot of bandwidth, storage space and time, which can be avoided with a WCS. An example of how the match-up tool can be beneficial for scientists in Marine Sciences is provided as part of the Jupyter Notebooks developed by Wagemann et al. (2016). An alternative for the match-up tool via WCS could be a match-up service provided through a simple WebAPI, which also has to be developed by the data provider though.