CNMBert: A Model For Hanyu Pinyin Abbreviation to Character Conversion Task

The task of converting Hanyu Pinyin abbreviations to Chinese characters represents a significant branch within the domain of Chinese Spelling Correction (CSC). This task is typically one of text-length alignment, however, due to the limited informational content in pinyin abbreviations, achieving accurate conversion is challenging. In this paper, we propose CNMBert which stands for zh-CN Pinyin Multi-mask Bert Model as a solution to this issue. CNMBert surpasses few-shot GPT models, achieving a 59.63% MRR on a 10,424-sample Hanyu Pinyin abbreviation test dataset.

Insect-Computer Hybrid System for Autonomous Search and Rescue Mission

There is still a long way to go before artificial mini robots are really used for search and rescue missions in disaster-hit areas due to hindrance in power consumption, computation load of the locomotion, and obstacle-avoidance system. Insect-computer hybrid system, which is the fusion of living insect platform and microcontroller, emerges as an alternative solution. This study demonstrates the first-ever insect-computer hybrid system conceived for search and rescue missions, which is capable of autonomous navigation and human presence detection in an unstructured environment. Customized navigation control algorithm utilizing the insect's intrinsic navigation capability achieved exploration and negotiation of complex terrains. On-board high-accuracy human presence detection using infrared camera was achieved with a custom machine learning model. Low power consumption suggests system suitability for hour-long operations and its potential for realization in real-life missions.