Automatic Mobile Translation System for Web Accessibility based on Smart-Phone

As mobile devices like smart phone prospers, the necessity of mobile web pages is ever increasing while the traditional web services are performed with the existing web pages. To satisfy the those requirement, this paper introduces an automatic mobile translation system that can examine the legacy web pages and produce new mobile web pages in accord to the web accessibility. For this purpose, the regulation for the web accessibility should be built first and the recommendation for a new web page would be performed based on the regulation by the system

SoccerNet 2023 Challenges Results

peer reviewedThe SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vision-based tasks split into three main themes. The first theme, broadcast video understanding, is composed of three high-level tasks related to describing events occurring in the video broadcasts: (1) action spotting, focusing on retrieving all timestamps related to global actions in soccer, (2) ball action spotting, focusing on retrieving all timestamps related to the soccer ball change of state, and (3) dense video captioning, focusing on describing the broadcast with natural language and anchored timestamps. The second theme, field understanding, relates to the single task of (4) camera calibration, focusing on retrieving the intrinsic and extrinsic camera parameters from images. The third and last theme, player understanding, is composed of three low-level tasks related to extracting information about the players: (5) re-identification, focusing on retrieving the same players across multiple views, (6) multiple object tracking, focusing on tracking players and the ball through unedited video streams, and (7) jersey number recognition, focusing on recognizing the jersey number of players from tracklets. Compared to the previous editions of the SoccerNet challenges, tasks (2-3-7) are novel, including new annotations and data, task (4) was enhanced with more data and annotations, and task (6) now focuses on end-to-end approaches. More information on the tasks, challenges, and leaderboards are available on https://www.soccer-net.org. Baselines and development kits can be found on https://github.com/SoccerNet

A Link Control Scheme Using Self-Reflecting Signal in Global Beam Satellite Network

In this letter, we show that we can improve the existing Go-back-N automatic repeat request (ARQ) in satellite communication by using a self-reflecting signal from the satellite. We also provide the analyses of the existing Go-back-N ARQ and our scheme. In our scheme, we use a self-reflecting signal from the satellite in order to investigate whether the transmitting frame experiences errors or not. Identification of the next arriving frame is also performed during the timeout event. Finally, through the numerical results, we can find the better performance of proposing link control scheme

Bearing Accuracy Improvement of the Amplitude Comparison Direction Finding Equipment by Analyzing the Error

warfare system, is a device that detects electromagneticwaves radiated from target radar and measures its angle of arrival.Compared to the phase-comparison method, the amplitudecomparisonmethod has simpler system, and it’s easy tominiaturize; however, relatively, its direction finding is lessaccurate, and it has various factors that occur errors. This papersuggests improving for the DF accuracy of the amplitudecomparisonmethod base on analysis of error type and cause. Also,this paper proves the usefulness of the result through the test thatwe suggest for the polarization error that has the greatest effect onthe amplitude-comparison method’s DF accuracy

SoccerNet 2023 challenges results

SoccerNet 2023 Challenges ResultsThe SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vision-based tasks split into three main themes. The first theme, broadcast video understanding, is composed of three high-level tasks related to describing events occurring in the video broadcasts: (1) action spotting, focusing on retrieving all timestamps related to global actions in soccer, (2) ball action spotting, focusing on retrieving all timestamps related to the soccer ball change of state, and (3) dense video captioning, focusing on describing the broadcast with natural language and anchored timestamps. The second theme, field understanding, relates to the single task of (4) camera calibration, focusing on retrieving the intrinsic and extrinsic camera parameters from images. The third and last theme, player understanding, is composed of three low-level tasks related to extracting information about the players: (5) re-identification, focusing on retrieving the same players across multiple views, (6) multiple object tracking, focusing on tracking players and the ball through unedited video streams, and (7) jersey number recognition, focusing on recognizing the jersey number of players from tracklets. Compared to the previous editions of the SoccerNet challenges, tasks (2-3-7) are novel, including new annotations and data, task (4) was enhanced with more data and annotations, and task (6) now focuses on end-to-end approaches. More information on the tasks, challenges, and leaderboards are available on https://www.soccer-net.org. Baselines and development kits can be found on https://github.com/SoccerNet