The Evolution of the ROK - U.S. Relations: A Multi-Method Analysis

This dissertation examines the relations between South Korea and the United States and how they have evolved and what affected changes in these relations by focusing on the national development of South Korea. To address these two questions, this dissertation adopts both historical and empirical analysis. Historical analysis analyzes the evolution of the ROK - U.S. relations from the beginning to the present based on the framework of alliance theories such as the formation, maintenance, and termination of the alliance. Empirical analysis focused on factors affecting the relations between South Korea and the U.S. It adopts multiple regression analysis with event data from 1990 to 2011. This dissertation argues three situational changes affect the evolution of the ROK - U.S. relations. The results of both historical and empirical analysis support that the three major changes such as the end of the Cold War, the economic growth, and political democratization in South Korea have a significant effect on the relations between the U.S. and South Korea. In particular, it is meaningful that domestic changes in South Korea affect the ROK - U.S. relations. This result signifies less asymmetric relations between the two states. The changes in the alliance dilemma of South Korea also suggest a less asymmetric relationship. Furthermore, the enhanced economic interdependence and shared democracy enhances the relations of the two states. Therefore, this dissertation concludes that the relations between the U.S. and South Korea become less and less asymmetric from the 1990s until the present

A Profile of executives from hotel management companies

This project is focused to identify desirable characteristics of hotel executives from hotel management companies. Research is conducted by studying articles in industry periodicals, journals and those involving business management. A questionnaire to 13 hotel management companies is used to obtain objective data as a practical source for this study. The study identified desirable personal and professional characteristics of hotel executives and other related information from the analysis of responses. The findings of this study are the most part accordance with previous studies and with widely held beliefs in the industry. These may be used for reliable criteria in selecting and evaluating hotel executives by hiring parties as well as provide a guide for future executives to develop themselves to be a desirable hotel executive. Several recommendations for further study are suggested in relation to the topic of this project

The Status of Foreign Immigrant Crime in South Korea. Institute for European Studies Issue 2019/05

This policy brief gives a brief statistical survey of the immigration situation in South Korea and looks at the legal status of foreigners in the country. It examines the question of whether, as is commonly assumed, immigrants are responsible for the increase in criminal offences

Improving Robot Team's performance by Passing Objects between Robots

Department of Computer Science and EngineeringA transport robot system is a robotic system in which robots move objects from one place to another place. Most existing transport robot systems perform three tasks: loading an item, moving to another location, and unloading the item. Traditional mobile robots, which carry objects one at a time, is not suitable for repeatedly transporting objects over a long distance. Therefore, in the factory or warehouse environment, they still use conveyor belts to transport a large number of objects. However, the existing conveyor belts are physically fixed in their environments, and it is difficult to reconfigure the layout of a conveyor network. In this thesis, I presente three new robotic systems that have the ability to pass objects at a distance between mobile robots. These three robotic systems are mobile conveyor belts, dynamic robot chains, and mobile workstations. First, conveyor belts are commonly used to transport many objects rapidly and effectively. I present a novel conveyor system called a mobile conveyor line that can autonomously organize itself to transport objects to a given location. In this thesis, I analyze the reachability of multiple mobile conveyor belts and present an algorithm to verify the reachability of a specified destination, as well as a way to gen- erate a configuration for connecting conveyor belts to reach the destination. The key results include a complete set of equations describing the reachable set of a mobile conveyor belt on a flat surface, which leads to an effective probabilistic strategy for autonomous configuration. The results of the experiment demonstrated the overlap effect, which states that reachable sets frequently overlap. This system can be suitable for locations where it is difficult to install a conveyor line, such as disaster zones. Second, I present to use mobile conveyor belts in foraging tasks in environments with obstacles. Foraging robots can form a dynamic robot chain network that can quickly send resources received from other foraging robots to a collecting zone called a depot area. A robot chain is essentially a sequence of mobile robots with the ability to quickly pass resources at a long distance. A dynamic robot chain network is a network of robot chains that allow the branches of the robot chains to connect multiple resource clusters. By allowing branching, the traffic near the end of the robot chain network can be dis- tributed to several branches, and congestion can be avoided. The dynamic robot chain network leverages mobility to relocate, reduce collection time for other robots, and quickly send resources received from other foraging robots to the depot area. The key result is the formation of robot chains capable of over- coming the two major limitations of existing dynamic depot foraging systems: the long travel distance for delivery and congestion near the central collection zone. In the experiments, given the same num- ber of robots, a dynamic robot chain network outperformed existing dynamic depots in multiple-place foraging problems. Third, I consider the idea of mobile workstations, which integrate mobile platforms with production machinery to improve efficiency by overlapping production time and delivery time. I describe a task planning algorithm for multiple mobile workstations and offer a model of mobile workstations and their jobs. This planning problem for mobile workstations includes the features of both traveling salesman problems (TSP) and job shop scheduling problems (JSP). For planning, I presente two algorithms: a) a complete search algorithm that offers a minimum makespan plan and b) a local search in the space of task graphs to offer suboptimal plans quickly. According to the experiments, the second algorithm can generate near-optimal temporal plans when the number of jobs is small. In addition, the second algorithm can generate noticeably shorter plans than a version of the job shop scheduling algorithm and SGPlan 5 when the number of jobs is large. This research shows that transport robot systems could work together with other robots or machines in various environments to overcome the limitations of existing systems for the environments. A mobile conveyor line can pass quickly objects at a long distance and can apply to many different environments by overcoming the existing problem of conveyor belts. By using mobile conveyor belts, the robots have the ability to pass objects at a distance between mobile robots to improve the performance of foraging tasks by overcoming the long travel distance for delivery and congestion near the central collection zone. In addition, a mobile workstation can handle the tasks that transport the production of goods to users. By paralleling the production time and the movement, a mobile workstation can substantially shorten the time it takes to deliver products to customers.ope

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Department of DesignAlthough archiving daily moods in a diary is a common behavior, reflection is difficult because of the pressure brought about by continuous self-tracking of personal moods. In this paper, I developed Lumino, a standalone device that enables users to log their daily moods with colored lights and switch mode to show the log by physically sliding a circular lighting plate. The results of three-week in-field study with six participants revealed that Lumino helped users encounter emotional archives as it separated reflective experiences from daily life activities. Moreover, Lumino helped prevent deep reflection on negative emotions and maintained privacy through abstract color expression. I also found user???s various trials to control emotion reflections in their own usage patterns. I propose considerations for augmenting daily mood recording experiences combined with existing diary practices and further implications for designing how to support positively the negative reflections in everyday spaces.ope

NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency

We introduce NaturalInversion, a novel model inversion-based method to synthesize images that agrees well with the original data distribution without using real data. In NaturalInversion, we propose: (1) a Feature Transfer Pyramid which uses enhanced image prior of the original data by combining the multi-scale feature maps extracted from the pre-trained classifier, (2) a one-to-one approach generative model where only one batch of images are synthesized by one generator to bring the non-linearity to optimization and to ease the overall optimizing process, (3) learnable Adaptive Channel Scaling parameters which are end-to-end trained to scale the output image channel to utilize the original image prior further. With our NaturalInversion, we synthesize images from classifiers trained on CIFAR-10/100 and show that our images are more consistent with original data distribution than prior works by visualization and additional analysis. Furthermore, our synthesized images outperform prior works on various applications such as knowledge distillation and pruning, demonstrating the effectiveness of our proposed method.Comment: Published at AAAI 202

NUMERICAL ANALYSIS OF THERMAL STRATIFICATION IN THE UPPER PLENUM OF THE MONJU FAST REACTOR

A numerical analysis of thermal stratification in the upper plenum of the MONJU fast breeder reactor was performed. Calculations were performed for a 1/6 simplified model of the MONJU reactor using the commercial code, CFX-13. To better resolve the geometrically complex upper core structure of the MONJU reactor, the porous media approach was adopted for the simulation. First, a steady state solution was obtained and the transient solutions were then obtained for the turbine trip test conducted in December 1995. The time dependent inlet conditions for the mass flow rate and temperature were provided by JAEA. Good agreement with the experimental data was observed for steady state solution. The numerical solution of the transient analysis shows the formation of thermal stratification within the upper plenum of the reactor vessel during the turbine trip test. The temporal variations of temperature were predicted accurately by the present method in the initial rapid coastdown period (∼300 seconds). However, transient numerical solutions show a faster thermal mixing than that observed in the experiment after the initial coastdown period. A nearly homogenization of the temperature field in the upper plenum is predicted after about 900 seconds, which is a much shorter-term thermal stratification than the experimental data indicates. This discrepancy may be due to the shortcoming of the turbulence models available in the CFX-13 code for a natural convection flow with thermal stratification

Fostering collective impact in arts-based interventions and cultural programs for creative well-being of older adults

Despite growing interest in research into how the arts impact older adults’ health and well-being, there are many related complexities that are yet to be fully understood. This is partly due to the fact that documentation and analysis of arts-based interventions and cultural programmes for older adults in the public service domain are relatively new and uncommon. Furthermore, the effective implementation and the delivery of such inter­ventions to ageing people generally involve many stakeholders, often with divergent interests and priorities. This article presents an interview-based study that explores the diverse experiences of professionals from different sectors who have been involved in delivery of arts-based interventions and cultural programmes for older adults in South Korea and Finland. The study maps out similarities and differences in the approaches taken and the challenges faced in such interventions, using the five themes of the narrative interviews that have been conducted. The study findings highlight the need for supporting collective efforts among the diverse stakeholders to provide effective arts-based interventions and cultural programmes for ageing people. We argue that such efforts will ultimately become catalysts for synergetic actions that address the interconnected and encompassing challenges of an ageing society

Encoding Speaker-Specific Latent Speech Feature for Speech Synthesis

In this work, we propose a novel method for modeling numerous speakers, which enables expressing the overall characteristics of speakers in detail like a trained multi-speaker model without additional training on the target speaker's dataset. Although various works with similar purposes have been actively studied, their performance has not yet reached that of trained multi-speaker models due to their fundamental limitations. To overcome previous limitations, we propose effective methods for feature learning and representing target speakers' speech characteristics by discretizing the features and conditioning them to a speech synthesis model. Our method obtained a significantly higher similarity mean opinion score (SMOS) in subjective similarity evaluation than seen speakers of a best-performing multi-speaker model, even with unseen speakers. The proposed method also outperforms a zero-shot method by significant margins. Furthermore, our method shows remarkable performance in generating new artificial speakers. In addition, we demonstrate that the encoded latent features are sufficiently informative to reconstruct an original speaker's speech completely. It implies that our method can be used as a general methodology to encode and reconstruct speakers' characteristics in various tasks