Ajou News

NEW Prof. Kim Jong-hyun’s Team Selected to Participate in Korea-Australia Strategic International Joint Research Project

  • 2021-08-03
  • 5462


An Ajou University research team under Professor Kim Jong-hyun has been selected by the Ministry of Science and ICT (MSIT) to participate in the Korea-Australia Strategic International Joint Research Project. 


Professor Kim Jong-hyun (Department of Applied Chemistry and Biological Engineering/ Graduate School of Molecular Science and Technology) announced that his team will participate in the Korea-Australia Strategic International Joint Research Project together with Professor Jan Seidel’s team from the University of New South Wales’ (UNSW) Department of Materials Science and Engineering with the aim of developing an IoT-integrated independent sensor module for AI-powered diagnosis of livestock disease. The project period is two years (2021-2023) and will have an expected KRW 1 billion in project expenses.


The MSIT has been leading the Strategic International Joint Research Project with an aim to address technological gaps and secure advanced technology through strategic international cooperation, with a view towards the impact of the Fourth Industrial Revolution and the technological abilities of research counterparts with the common goals of addressing climate change, micro dust, infectious disease, and other global challenges. 


The joint research team plans to develop an independently-run IoT sensor module that monitors the health of livestock in real time to diagnose and forecast pathogenesis, and create data mining analysis-friendly solutions for livestock diseases.


A sensor module, which is the development goal of this project, will be designed around an independent power system which does not require replacing batteries and enables detection of various conditions of livestock health at the same time. Accordingly, it is expected to significantly reduce livestock management costs for Australian cattle ranchers as the country has a very large number of grazing livestock. 


The two countries’ research teams plan to lead studies focusing on their specialized fields. Professor Kim Jong-hyun’s team will develop an IoT-integrated independently-operated sensor module, while the Australian team will optimize a sensor module for localization and analysis of livestock health data. Narromine, a town in Australia, will provide the town’s livestock data as a test bed for the project so that the sensor module, the outcome of the project, can be adopted by the local agro-livestock industry. 


Professor Kim, who is heading the project, stated “Our team has secured advanced technology through continuous research collaboration with the Australian team,” and added, “Based on such collaboration, the bilateral project will enable us to successfully develop an IoT sensor module for diagnosis of livestock disease.” 


In addition, Kim said, “Australia is home to the world’s largest livestock headcount in a variety of species combinations, and is therefore very interested in the project. […] Our team has completed the first verification test of a neckband-type sensor module that we developed early on, and is currently discussing management authority of the final product with an Australian company.”


Aside from joint technological development, which is the primary goal of the joint research project, Kim’s team plans to strengthen international cooperation and professional training by promoting active exchange of students and researchers between Ajou University and UNSW.


In addition to Ajou University and UNSW, other involved institutions include the Korea Institute of Materials Science, the Korea Electronics Technology Institute, Pusan National University, Charles Stuart University of Australia, and the town of Narromine.




인공지능 기반 가축질병 진단 IoT 통합형 독립구동 센서모듈 개발

Developing an IoT-Integrated Independently-Operated Sensor Module for AI-Powered Diagnosis of Livestock Disease

기존기술

Existing Technology

교체형 배터리 기반의 센서

Sensors based on battery swap system

사람에 의한 가축질병 진단

Diagnosis of livestock disease done by humans

자율전원 및 진단

Autonomous power system and diagnosis

제안기술(차별성)

Proposed Technology (Differentiation)

배터리 자율전원 IoT 디바이스 센서 모듈

Autonomous battery-powered IoT device sensor module

실내외 현장 적용가능

Application possible inside or out

자율전원 모듈

Autonomous power module

가축진단 데이터 구축

Construction of livestock diagnosis data

멀티 빅데이터 구축 가능

Possible to construct multi-sourcebig data 

전용, 진단

Dedicated, diagnostic