• Journal of Institute of Control, Robotics and Systems
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• v.22 no.3
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• pp.217-225
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• 2016

In this paper, we propose an improved path planning method and obstacle avoidance algorithm for two-wheel mobile robots, which can be effectively applied in an environment where obstacles can be represented by circles. Firstly, we briefly introduce the rapidly exploring random tree (RRT) and single polar polynomial (SPP) algorithm. Secondly, we present additional two methods for applying our proposed method. Thirdly, we propose a global path planning, smoothing and obstacle avoidance method that combines the RRT and SPP algorithms. Finally, we present a simulation using our proposed method and check the feasibility. This shows that proposed method is better than existing methods in terms of the optimality of the trajectory and the satisfaction of the kinematic constraints.

• 한국지구물리탐사학회:학술대회논문집
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• 2006.06a
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• pp.3-6
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• 2006

There are three types of frequency-domain loop-loop EM induction method, depending on the loop separation and their location relative to the ground surface: horizontal-loop EM (HLEM), fixed small-loop EM, and helicopter-borne EM (HEM) methods. Multidimensional inversion provides tomographic images of the subsurface resistivity structure and thus enhances the interpretational accuracy of loop-loop EM data. HLEM method is shown to be effective for exploring groundwater resources in weathered and fractured crystalline basement terrains in semi-arid regions. Also, HEM method is useful for locating weak zones in landslide areas. The applicability of inversion to small-loop EM data depends solely on the S/N ratio. The quadrature response of small-loop EM data can only give the equivalent conductivity of a homogenous half-space model, and thus the in-phase component is essential in inverting EM data. However, the in-phase response is much lower and decreases more rapidly with decreasing frequency than the quadrature response. Further work is needed to obtain conductivity-depth images from small-loop EM data.

• Journal of the Korea Institute of Military Science and Technology
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• v.20 no.6
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• pp.803-812
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• 2017

This paper proposes a local path planning method for stable autonomous driving in rough terrain. There are various path planning techniques such as candidate paths, star algorithm, and Rapidly-exploring Random Tree algorithms. However, such existing path planning has limitations to reflecting the stability of unmanned ground vehicles. This paper suggest a path planning algorithm that considering the stability of unmanned ground vehicles. The algorithm is based on the genetic algorithm and assumes to have probability based obstacle map and elevation map. The simulation result show that the proposed algorithm can be used for real-time local path planning in rough terrain.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.76-78
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• 2019

Sampling-based algorithms are one of the most commonly approaches which give good results in robot path planning with many degree of freedom. So that many proposed methods as well as their improvement based on these approaches have been proposed. The purpose of this paper is to survey some current algorithms using for path planning, the original proposed methods as well as their improvement. Some advantages and disadvantages of these algorithms will be also mentioned, how the improved version of the proposed methods overcome the original proposed methods' drawback.

• Asian Journal of Innovation and Policy
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• v.8 no.2
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• pp.208-237
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• 2019

Serious social problems related to the elderly have appeared in the Gangwon Province because the population in this area is rapidly aging. Gangwon has the highest suicide rate and the highest percentage of single households. In the process of preparing for the super-aging society, Time Bank (TB) System has been actively used in 34 countries, especially in the United States, the United Kingdom, and Japan. In Korea, the Gumi Senior Club has joined this system since 2004. TB is a multilateral exchanged system based on the philosophy that everyone's time is valued equally. Time credits are given to the person who provides social services, such as citizen participation and elderly care. People receive the desired services using time credits or donating them. If this system were applied to the Gangwon Province in accordance with its characteristics, it would help to reduce the elderly's prejudices and manage their diverse health problems. A virtual local currency using IT technologies is needed to boost the regional economy. The elderly's participation in TB is strongly needed. Future research about the effectiveness of health management is then discussed.

• Asian Journal of Innovation and Policy
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• v.10 no.1
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• pp.155-158
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• 2021

Entrepreneurial ecosystem is a very active area of research both conceptually and empirically, yet most literature that emerged over the last two decades predominantly pertain to developed economies. At the same time, transitioning and emerging economies have continued to grow rapidly, making a strong case to study entrepreneurial ecosystems in emerging economies (Bruton et al., 2018). Ecosystems are broad constructs and the constitutive elements of an ecosystem are themselves complex (Stam, 2015). Hence exploring key elements of the ecosystem in depth to understand the mechanisms of how entrepreneurship is supported through intermediary organizations like incubators is a fruitful exercise. In this context, we review the book "Technology Business Incubators in India Structure, Role and Performance" which is a timely synthesis for academic researchers and practitioners, looking to explore the topic as it pertains to emerging economies. The book is part of the De Gruyter Studies in Knowledge Management and Entrepreneurial Ecosystems series, that covers pertinent ecosystems issues around universities, and sustainability by leading authors.

• Journal of Internet Computing and Services
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• v.21 no.6
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• pp.113-121
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• 2020

The era of "ownership" has gone, and the era of "subscription" has come. While traditional manufacturing and service industries are struggling with the fall of earnings rates, subscription-based businesses are showing high growth rates. Although subscription-based online services (SOS) are rapidly growing in the retail market, few studies have investigated factors that affect the decision of consumers to use SOS. Therefore, this study aims to identify factors that enable predicting consumers'attitudes and intentions toward SOS and to empirically verify the factors. As a result of the study, usefulness, enjoyment, and cost advantages were shown to have positive effectson perceived value, and usefulness, technicality, and cost advantages were shown to have positive effects on attitudes. In addition, perceived value was shown to have positive effects on attitude, and perceived value and attitudes were shown to have positive effects on acceptance intentions. The fact that the strategic directivity for successful introduction and diffusion of SOS was presented by identifying the predictor variables for the acceptance of SOS through this study can be said to be the significance of this study.

• The Bulletin of The Korean Astronomical Society
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• v.45 no.1
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• pp.36.3-37
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• 2020

Recent observation of the neutron star merger event, GW170817, through both gravitational wave (GW) and electromagnetic wave (EM) observations opened a new way of exploring the universe, namely, multi-messenger astronomy (MMA). One of the keys to the success of MMA is a rapid identification of EM counterpart. We will introduce GW follow-up observation project in Korea for hunting GW EM counterpart rapidly and its strategy for prioritization of GW source host galaxy candidates. Our method relies on recent simulation results regarding plausible properties of GW source host galaxies and the low latency localization map from LIGO/Virgo. We will show a test result for both binary neutron star merger events using previous event and describe observing strategy with our facilities for GW events during the ongoing LIGO/Virgo O3 run. Finally, we report the results of optical/NIR follow-up observation of GW190425, the first neutron.

• ETRI Journal
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• v.45 no.5
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• pp.746-757
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• 2023

This study presents a novel safe landing algorithm for urban drone deliveries. The rapid advancement of drone technology has given rise to various delivery services for everyday necessities and emergency relief efforts. However, the reliability of drone delivery technology is still insufficient for application in urban environments. The proposed approach uses the "landing angle control" method to allow the drone to land vertically and a rapidly exploring random tree-based collision avoidance algorithm to generate safe and efficient vertical landing paths for drones while avoiding common urban obstacles like trees, street lights, utility poles, and wires; these methods allow for precise and reliable urban drone delivery. We verified the approach within a Gazebo simulation operated through ROS using a six-degree-of-freedom drone model and sensors with similar specifications to actual models. The performance of the algorithms was tested in various scenarios by comparing it with that of stateof-the-art 3D path planning algorithms.

• Journal of the Korean Society for information Management
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• v.37 no.2
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• pp.71-93
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• 2020

Today, in order to more effectively cope with the emergence of various diseases and the rapidly-changing medical environment, several medical departments are conducting treatment collaborations within the university hospital. This collaborative care is very important and is already common in the medical field. Nevertheless, there is no research on this, especially how the departments are collaborating. Therefore, the purpose of this study is to investigate how the characteristics of the treatment collaboration networks vary by year and season by exploring the relationship between the medical departments within the university hospital. This study analyzed the collaboration networks of 29 medical departments of 'A' university in Korea by dividing the collaborative care by year and season. Directed networks were constructed in response to departments requesting and departments requested for collaborative care. Betweenness centrality, eigenvector centrality, closeness centrality analysis, ego network analysis, and faction analysis were also conducted. This study performed the first treatment collaboration network analysis among medical departments, and is expected to present new insights into the location and spatial composition of medical departments in consideration of the knowledge transfer paths within medical institutions.