{'fraction_non_alphanumeric': 0.019230769230769232, 'fraction_numerical': 0.0, 'mean_word_length': 5.868131868131868, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Intelligent recognition-based unloading device design for university container logs

Timber resources are strategic resources for China’s national economic development, and the traditional container transport log unloading method is inefficient and requires manual handling, but due to the increase in residents, infrastructure efficiency and other issues, the log handling efficiency also needs to be greatly enhanced, so a high-efficiency, energy-saving and environmentally friendly log loading and unloading device that can work autonomously has become the urgent need of the moment in ports, wood yards and other places.