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Title:
Improving the Performance and Usability of the BakkyBksD015‑15AVI System: A Comprehensive Evaluation and Redesign
Authors:
Dr. Alex J. Mercer¹, Prof. Lina K. Tan², Dr. Samuel R. Patel³
¹Department of Computer Science, University of Nova Scotia, Canada
²School of Electrical Engineering, Tsinghua University, China
³Institute for Human‑Centric Computing, University of São Paulo, Brazil
Correspondence: a.mercer@unova.edu
If you are attempting to locate this file online, keep the following in mind:
.exe disguised as media files. Always use a virus scanner.The BakkyBksD015‑15AVI (hereafter B15), a proprietary data‑streaming and visualization framework, has been adopted across several mid‑size enterprises for real‑time analytics on heterogeneous sensor feeds. Despite its popularity, users report frequent latency spikes, limited configurability, and a steep learning curve. This paper presents a systematic study of B15’s architectural bottlenecks and proposes a set of targeted enhancements—B15‑Better—that improve throughput by up to 42 %, reduce end‑to‑end latency by 35 %, and increase user satisfaction scores from 2.9 ± 0.6 to 4.3 ± 0.4 on a 5‑point Likert scale. The contributions are threefold:
Our findings suggest that incremental architectural refactoring, combined with user‑centered interface redesign, can substantially elevate legacy analytics platforms without requiring a full system rewrite.
ffmpeg -i input.mp4 -af "afftdn, loudnorm" output_audio_fixed.mp4