Innovation in Science and Technology

Design and Implementation of Intelligent Pet Anti-Barking Collar Control System Based on Multi-Sensor Fusion

Haipeng Lin — Wed, 02 Sep 2026 00:00:00 +0000

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.

Research on Automatic Test Method of RF Receiving Sensitivity for V2X On-Board Terminals Under Multi-Working Conditions

Yanbo Zhao — Wed, 02 Sep 2026 00:00:00 +0000

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 & 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.

Material Selection Challenges and Application Limitations of Biodegradable Films for Fresh-Cut Produce Packaging

M. Lopes — Fri, 09 Oct 2026 00:00:00 +0000

Biodegradable films for fresh-cut produce packaging must provide gas exchange, moisture control, and physical protection suited to the product. This article examines material selection challenges using fresh-cut lettuce and apple slices as examples. Oxygen supply and carbon dioxide removal need to match produce respiration, while water vapour transfer must limit dehydration without allowing excessive moisture accumulation. Refrigeration affects these relationships because temperature changes influence respiration, film permeability, and condensation. Evidence from published experiments shows that improvements in one property can create limitations elsewhere. A modified film may preserve colour and firmness while increasing water loss, and a suitable film may perform poorly when seals are unreliable. Material selection should connect film properties with product quantity, package design, storage duration, and production conditions. Practical suitability depends on the performance of the complete package under its intended conditions of use.

Common Problems and Improvements in Wi-Fi Access Point Placement in Multi-Room Homes

OTI Šilėnas — Wed, 28 Oct 2026 00:00:00 +0000

Wi-Fi coverage in multi-room homes can be uneven when access point placement does not match room layout and household use. Common problems include locations chosen for installation convenience, obstruction by walls and furniture, and additional units that provide little useful coverage or have weak backhaul connections. Placement can be improved by selecting open locations near priority rooms, considering signal paths, and using additional access points where one unit cannot serve separate areas adequately. Wired access points and wireless mesh nodes require different placement decisions because their backhaul connections differ. Performance checks at normal device locations can guide adjustments and reveal whether an improvement in one room creates difficulties elsewhere. Cable routes, power availability, housing arrangements, and cost shape the final choice. Effective placement aims to provide dependable service for everyday activities in frequently used rooms.

Applicability and Operation and Maintenance of Constructed Wetlands for Rural Domestic Wastewater Treatment in China

Wentao Shen — Wed, 28 Oct 2026 00:00:00 +0000

Constructed wetlands provide an alternative for treating rural domestic wastewater through the combined effects of substrates, plants, and microorganisms. In China, differences in settlement patterns, wastewater characteristics, climate, land availability, and local management capacity affect the suitability of this technology. Although constructed wetlands have advantages such as relatively low energy demand and simple operating requirements, their performance can be affected by substrate clogging, insufficient nitrogen removal, seasonal temperature changes, and inadequate maintenance. This paper examines the treatment principles and main configurations of constructed wetlands, identifies the conditions under which they are suitable for rural wastewater treatment, and discusses common operational problems. It also proposes practical measures for pretreatment, water distribution, water-level adjustment, vegetation management, clogging control, winter protection, and routine monitoring. The analysis emphasizes that the successful application of constructed wetlands depends not only on treatment design but also on the coordination of local conditions, appropriate wastewater management, and long-term maintenance.

Research on Government Web Accessibility Automated Auditing Technology Based on Static Analysis and DOM Rule Engine

Xincheng Liu — Wed, 28 Oct 2026 00:00:00 +0000

Aiming at the industry pain‑points of high labour costs for manual compliance auditing of domestic government Web accessibility, dynamic DOM omission detection, incomplete static source‑code parsing, poor adaptability of general‑purpose rules to specific scenarios, and high false‑positive rates of mainstream detection tools, this paper proposes an automated auditing framework for government Web accessibility that integrates static code analysis and a DOM rule engine. This paper constructs a layered rule ontology library compatible with the WCAG 2.1‑AA international standard and domestic government accessibility specifications, designs a DOM rule engine with multi‑node association constraint reasoning capability, and builds a multi‑source static‑analysis pipeline covering HTML, CSS and JavaScript. A defect‑entity alignment algorithm and a weighted confidence fusion model are adopted to eliminate detection conflicts between the two modules, so as to output graded and standardised auditing results. System verification is performed relying on a ground‑truth dataset of 427 manually annotated government webpages (Fischer T, Lundell B & Gamalielsson J., 2025). The experimental results show that compared with mainstream tools such as axe‑core and Lighthouse, the precision, recall and F1‑score of the proposed method reach 87.2%, 84.5% and 85.8% respectively. Its F1‑score is 9.7% higher than that of axe‑core, and its false‑positive rate decreases by 11.3% (Gunderson J & Schepers D., 2021). The proposed method can accurately identify accessibility defects of government‑specific components such as government forms, pop‑up windows and data tables, and provides reliable technical support for compliance construction and inclusive transformation of government‑website accessibility.

The Impact of Artificial Intelligence Adoption on Corporate Default Risk: Empirical Evidence Based on Large Language Models

Chuhan Su, Xiangchun Liu, Yuecong Xing — Mon, 02 Nov 2026 00:00:00 +0000

Against the backdrop of rapid advances in digital technologies and growing uncertainty in the business environment, artificial intelligence (AI) offers firms new opportunities to strengthen risk identification, improve managerial decision-making, and mitigate default risk. Using firm-level data from Chinese A-share listed companies over the period 2009–2024, this study empirically examines the relationship between AI adoption and corporate default risk.

The results indicate that AI adoption is associated with a significant reduction in corporate default risk. This finding remains robust to alternative fixed-effects specifications, different levels of standard-error clustering, and the exclusion of observations from periods affected by major external shocks. Heterogeneity analyses further reveal that the negative association is particularly pronounced among firms in non-high-tech industries and those located in eastern and central China.

By examining AI adoption from a corporate risk management perspective, this study extends the literature on the economic consequences of AI adoption and provides firm-level empirical evidence on the role of digital technologies in mitigating financial risk. The findings also offer policy implications for integrating AI into corporate management practices and strengthening firms’ risk governance capabilities.