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Jeju World Peace Island Korean Peninsula Cruise: Planting the seeds of the Jeju King
Cherry Grant McCall 세계환경사회거버넌스학회 2022 World Environment and Island Studies Vol.12 No.2
The proposal in this paper outlines an idea for a Korean Peninsula focused Peace Cruise starting from Jeju World Peace Island and going up the eastern coast of the peninsula , taking in a port or two in Japan (such as Fukuoka) to accommodate potential Korean-descended passengers there and ending at Wonsan, where a grove of Jeju King Cherry (Prunus Yedoensis var. Nudiflora) trees could be planted progressively as a welcome avenue for those on the peace cruise ship. This grove of Jeju King Cherry trees will grow each time a Jeju World Peace Island Peninsula Cruise arrives. Wonsan has been a holiday place for the DPRK for some time and with the permission of that country could become a limited and controlled international destination for Peace and, perhaps, other cruise tours. There are precedents internationally for special zones to be declared for specific activities. Such places frequently become economic development zones for the host country. After successful itineraries have been shown, the Jeju World Peace Island ship could extend its cruise north to ports on the Kamchatka Peninsula and west to Chinese ports interested in the concept
고데스체리로즈 ( Cherry Rose Godes ),임원빈 ( One-bin Lim ),김용성 ( Yongsung Kim ),지봉준 ( Bongjjun Ji ),연재흠 ( Jaeheum Yeon ) 한국농공학회 2023 한국농공학회 학술대회초록집 Vol.2023 No.0
Landslides pose significant threats to communities and infrastructure, necessitating comprehensive risk assessment for effective mitigation strategies. This abstract presents a novel approach to landslide risk assessment for South Korea, revealing three previously unconsidered factors in the traditional local landslide risk assessment: aspect, elevation, and soil type. Conventional risk assessments have overlooked and have not considered these crucial causative factors, leading to incomplete evaluations. This study uncovers correlations between landslide occurrences and the overlooked variables by integrating data mining and co-occurrence network analysis. The goal is to provide landslide risk evaluators with a more accurate and holistic understanding of landslide risk, facilitating better-informed decision-making. The research highlights the significance of integrating previously neglected factors to enhance the overall effectiveness of landslide risk assessment. The key findings underscore the importance of considering aspect, elevation, and soil type when evaluating landslide risk, enabling stakeholders to anticipate better and address landslide susceptibility in vulnerable regions. This research advances local landslide risk assessment methodologies by shedding light on three essential factors overlooked in traditional approaches. By embracing data mining and network analysis techniques, our findings empower communities and decision-makers with the knowledge needed to develop proactive strategies for mitigating landslide risks and ensuring the safety of vulnerable areas.
체리(Cherry Ling Yieng Siang),신지원(Gee Won Shin),김용민(Yong min Kim),윤명환(Myung Hwan Yun) 한국HCI학회 2018 한국HCI학회 학술대회 Vol.2018 No.1
The aim of this study is to build human activity recognition (HAR) model using deep neural network (DNN) and investigate the influence that affects misclassification. As wearable devices become widespread and used in various applications such as health care and sports, people are interested in HAR. Therefore, it is important to improve classification performance in HAR. We implemented a DNN based HAR model through open smartphone sensor data set and t-Distributed Stochastic Neighbor Embedding was used to visualize extracted features. The performance of the DNN model was excellent except for one activity. Through the visualization of the extracted features, we were able to identify the cause of the performance degradation. Similar extracted features between activities are the cause of performance degradation. The DNN model can recognize human activity using smart phone sensor data and be used for health care, sports, fall detection and so on.