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Strengthening trust in the future social-cyber-physical infrastructure: an ITU-T perspective
Tai-Won Um,Gyu Myoung Lee,Jun Kyun Choi Institute of Electrical and Electronics Engineers 2016 IEEE communications magazine Vol.54 No.9
<P>Evolving toward a knowledge society requires a trusted ICT infrastructure for sharing information and creating knowledge. To advance the efforts to build converged ICT services and reliable information infrastructures, ITU-T has recently started to work on future trusted ICT infrastructures. This article proposes a possible future Social-Cyber-Physical infrastructure that acts as the glue for integrating the physical, cyber, and social worlds with ICT, and outlines proposals toward an effort to find viable solutions for trust related problems while developing advanced technologies from an ITU-T standards perspective along with the trust conceptual model and the trust architectural framework.</P>
Trustworthy Livestock Management System based on AIoT
Taeyong Yun,Tai-Won Um,Jinsul Kim 한국디지털콘텐츠학회 2023 The Journal of Contents Computing Vol.5 No.2
Due to the difficulty in finding labor and rising labor costs in the livestock industry, there is a growing demand for smart livestock farming, which combines advanced IT technology with traditional livestock management. Artificial Intelligence of Things (AIoT), which incorporates Artificial Intelligence (AI) into Internet of Things (IoT) devices, is being touted as a technology that can detect livestock diseases and changes in the barn environment, and respond quickly and automatically to problem situations without human intervention to increase productivity. However, trust issues due to malfunctions and failures are recognized as a barrier to the use of these AIoT devices in smart livestock farms. This paper proposes a highly trustworthy AIoT technology for smart livestock farms. Specifically, image recognition-based AIoT devices for smart livestock farms and their trust management techniques are described.
Autonomous Delivery Robot Operating System for 24-hour Delivery Service
Seu-jan Kim,Tai-Won Um 한국디지털콘텐츠학회 2023 The Journal of Contents Computing Vol.5 No.2
The demand for last-mile delivery is increasing due to the rise of ecommerce and urbanization trends, leading to various social problems. To address these problems, the introduction of autonomous delivery robots is being researched. However, most studies on delivery robots for the last mile sector assume customer attendance delivery, so it is essential to develop robots capable of door-to-door delivery. This paper proposes a 24-hour delivery operation system for urban environments. The system uses door-to-door delivery robots and applies a combinatorial optimization strategy based on deep reinforcement learning using algorithms such as STRUCT2VEC, LSTM and ATTENTION. This enables the system to solve routing problems effectively and in a short time to meet customer requirements.