Skill UI

This guide provides a comprehensive audit checklist for designing and evaluating sensor-based systems (SenSys). It mandates rigorous, real-world measurements across five core axes: energy efficiency, on-device latency distribution, ground truth accuracy, deployment realism, and embedded AI footprint. It ensures that research results are based on measured hardware performance, not simulations or idealized baselines.

A comprehensive guide for authors submitting to top systems conferences (e.g., SenSys, MobiCom). It details how to structure the Related Work section by sweeping multiple literature lanes (IoT, embedded AI, networking), proving citation venues, and most importantly, distinguishing your novel mechanism from the single nearest prior system with concrete, measurable differences. Essential for academic publication rigor.

A comprehensive guide detailing the required structure and technical rigor for writing papers in sensing and embedded systems (SenSys). It mandates replacing vague adjectives with concrete, measured metrics (e.g., energy in joules, latency in milliseconds) and structuring the argument around a clear 'pain $\to$ gap $\to$ mechanism $\to$ measured behavior' arc on the first page. Essential for academic researchers and engineers.