https://www.paradigmpress.org/ist <p><a href="https://www.paradigmpress.org/ist/about"> <img src="https://www.paradigmpress.org/public/site/images/admin/ist.jpg" /> </a></p> Paradigm Academic Press Limited en-US Innovation in Science and Technology 2788-7030 https://www.paradigmpress.org/ist/article/view/2244 <p>Traditional single-microphone anti-bark collars suffer high false alarms, poor multi-dog adaptability, missing safety safeguards and failure to pass overseas EMC certifications. This paper develops an embedded control system based on decision-level multi-sensor fusion, using STM32L4 low-power MCU integrated with MEMS audio, capacitive wearing detection and NTC temperature sensors to form a perception-decision-execution closed loop. It supports two spray volumes (0.25 mL / 0.5 mL), ±30% adaptive recognition thresholds and a 12-hour continuous-use safety lock. Verified by third-party FCC Part 15 and CE-EMC labs, the system is mass-produced for TA.TIAOM products sold on Amazon UK. Real household tests deliver an 89.3% effective correction rate, and multi-sensor joint judgment drastically reduces noise-induced misfires, providing a viable engineering solution for pet wearable behavior collars.</p> Haipeng Lin Copyright (c) 2026 2026-09-02 2026-09-02 5 3 1 8 10.63593/IST.2788-7030.2026.09.001 https://www.paradigmpress.org/ist/article/view/2245 <p>V2X is the foundational communication technology for intelligent connected vehicles. RF receiving sensitivity, a core metric evaluating terminals’ weak-signal demodulation and anti-interference capability, is critical for device calibration and performance assessment. Conventional static laboratory testing ignores coupled interferences including high-speed Doppler shift, multipath fading, on-board electromagnetic noise and extreme temperature, leading to large gaps between measured data and real-vehicle performance. Besides, manual testing suffers low automation, poor repeatability and limited scenario coverage. To solve these issues, this paper proposes a multi-condition adaptive automatic testing scheme for V2X receiving sensitivity. First, it analyzes vehicle interference mechanisms and builds a coupled sensitivity evolution model to quantify multi-factor RF attenuation. Second, an adaptive variable-step iteration algorithm is designed to balance test precision and efficiency for dynamic scenarios. Finally, a full closed-loop hardware-software test platform is developed to synchronously simulate diverse operating environments and automate signal acquisition &amp; analysis. Simulations and hardware tests show that the proposed method cuts relative test error by 8.24% (Chen S, Hu J, Shi Y, et al., 2020), boosts testing efficiency by 67.3%, and restricts repeated test fluctuation within 1.1 dBm. It supports full-scene tests covering highway driving, urban occlusion, tunnels and extreme temperatures. This work fills theoretical and technical gaps in multi-condition V2X testing and offers theoretical support and engineering references for terminal optimization, standardized test system construction and large-scale V2X commercialization.</p> Yanbo Zhao Copyright (c) 2026 2026-09-02 2026-09-02 5 3 9 17 10.63593/IST.2788-7030.2026.09.002