Sinomach (China)

Multi-objective optimization of cylinder liner honing surface parameters for lubrication and wear properties based on BPNN–NSGA-II

Simultaneously enhancing oil film thickness while controlling wear load remains a key challenge in cylinder liner honing texture optimization, yet these performance indicators are typically optimized separately. This study proposes a simulation-driven multi-objective framework th...

Edge federated learning with adaptive optimization and lightweight design facilitates collaborative security situation awareness in the Industrial Internet of Things

As the scale of the Industrial Internet of Things expands, its security issues become increasingly prominent. Traditional centralized security architecture faces challenges such as high data processing latency and easy privacy leaks. To solve the above problems, a collaborative s...