• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1778-1779
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• 2011

The location of outdoor mobile robot is obtained using global coordinates from GPS. However, the error generated by GPS is about 10m ~ 100m, so the precise control is difficult. D-GPS has the error value of 1m and it is very accurate, but the price is very expensive. In this paper, a method to reduce the error in global coordinates is proposed using two low-cost GPS for the autonomous navigation control of outdoor mobile robot.

• International Journal of Control, Automation, and Systems
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• v.4 no.5
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• pp.575-591
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• 2006

In a previous research, we presented the Grid Method and confirmed it as a systematic and efficient problem formulation method for the task-oriented design of robot kinematics. However, our previous research was limited in two ways. First, it gave only a local optimum due to its use of a local optimization technique. Second, it used constant weights for a cost function chosen by the manual weights tuning algorithm, thereby showing low efficiency in finding an optimal solution. To overcome these two limitations, therefore, this paper presents a global optimization technique and an adaptive weights tuning algorithm to solve a formulated problem using the Grid Method. The efficiencies of the proposed algorithms have been confirmed through the kinematic design examples of various robot manipulators.

• Journal of Institute of Control, Robotics and Systems
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• v.9 no.11
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• pp.963-968
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• 2003

A feedback control implementation for a high speed train pressurization system is proposed based on CAN (Controller Area Network). Firstly, system model including network latencies by CAN arbitration mechanisms is proposed, and an analytical compensation method of control parameters based on the system model is proposed for the network latencies. For the practical implementation of the control, global synchronization is adopted for controller to measure network latencies and to utilize them for the compensation of the control parameters. Simulation results are shown with practical tunnel data response. The proposed method is evaluated to be the most effective for the system through the control performances comparing among a controller not considering network latencies, other two off-line compensation methods, and the proposed method.

• 제어로봇시스템학회:학술대회논문집
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• 1995.10a
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• pp.432-435
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• 1995

In this paper a new approach to obtain the solution of the linear-quadratic Gaussian control problem for singularly perturbed discrete-time stochastic systems is proposed. The alogorithm proposed is based on exploring the previous results that the exact solution of the global discrete algebraic Riccati equations is found in terms of the reduced-order pure-slow and pure-fast nonsymmetric continuous-time algebraic Riccati equations and, in addition, the optimal global Kalman filter is decomposed into pure-slow and pure-fast local optimal filters both driven by the system measurements and the system optimal control input. It is shown that the optimal linear-quadratic Gaussian control problem for singularly perturbed linear discrete systems takes the complete decomposition and parallelism between pure-slow and pure-fast filters and controllers.

• Asia Marketing Journal
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• v.26 no.3
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• pp.156-169
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• 2024

This study leverages group-based control theory to explore how fresh starts reinvigorate consumers with low motivation to engage in collective environmental efforts. Typically, individuals with low control over their circumstances show less inclination toward collective goals. However, fresh starts can enhance the influence of perceived control on collective environmental engagement, with global identity mediating this relationship. This hypothesis was supported by two empirical studies. The first study analyzed data from 10,430 corporate participants in an energy-saving initiative, revealing that smaller organizations, which likely experience lower levels of control, made substantial energy-saving efforts early in the year, although this effect diminished over time. The second study of 108 college students found that a fresh start mindset and desire for control, mediated by global identity, enhance environmentally responsible behaviors. These findings suggest that fresh starts can effectively connect control perceptions with proactive environmental actions, underscoring their potential to foster collective environmental efforts.

• Journal of Korea Technology Innovation Society
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• v.16 no.3
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• pp.605-629
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• 2013

The aim of this study is analyzing the factors and performance related to the entry control mode when a SME advances into the global market. For this, the strategic factor of the SME was divided into the enterprise capabilities consisting of technology commercial capability, internal capability, and global capability of enterprise and information capabilities that are the capabilities on the global market and on the advanced technology. In the empirical study, a total of 27 variables that include the control variables and the financial and non-financial variables as a performance variable was used. The hypothesis was also established for analyzing the effect of the entry strategies on the entry control mode and the effect of the mode on performance. Logistic regression was conducted for verifying the hypothesis, and Multiple regression analysis and T-test were carried out on the additional analysis related to the performance.

• Korean Journal of Ecology and Environment
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• v.45 no.4
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• pp.453-458
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• 2012

The golden apple snail, Pomacea canaliculata, is a freshwater snail native to tropical and subtropical South America. The species was introduced into Korea as a human food source in 1983 and was first applied as a weed control agent for the paddy fields in 1992. As the snail is well known as an environmentally friendly biological control agent for weeds, the area of cultivation in which the golden apple snail is used for biological control has been enlarged substantially each year. Currently, the species is observed in open water courses. It is possible that the snail may overwinter in these open water courses and may become a serious pest, as is already the case in many Asian countries. In this study, we determined the status of the overwintering golden apple snail based on a literature survey and investigated the potential distribution area of the snail, as a result from global warming in Korea. The potential distribution area of the overwintering golden apple snail would be enlarged under the influence of global warming; ranging from 45.5% of South Korea's land area in the 2020s to 88.4% in the 2080s.

• Journal of the Korea Society of Computer and Information
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• v.10 no.5 s.37
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• pp.41-48
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• 2005

In this thesis, we propose a concurrency control scheme which schedules global transactions in multidatabase systems Unlike other scheme which commit global transactions as soon as they have finished their execution, this scheme has attempted to delay them if their exist another global transactions that should be proceeded. Owing to the deferred commitment, the number of global restarts could be greatly reduced. This scheme's performance gain increased through simulations in case more than one LDBS employ timestamp ordering(TO) as a local concurrency control scheme.

• International Journal of Aeronautical and Space Sciences
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• v.12 no.3
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• pp.274-282
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• 2011

This paper is focused on dynamic modeling and control system design as well as vision based collision avoidance for multi-rotor unmanned aerial vehicles (UAVs). Multi-rotor UAVs are defined as rotary-winged UAVs with multiple rotors. These multi-rotor UAVs can be utilized in various military situations such as surveillance and reconnaissance. They can also be used for obtaining visual information from steep terrains or disaster sites. In this paper, a quad-rotor model is introduced as well as its control system, which is designed based on a proportional-integral-derivative controller and vision-based collision avoidance control system. Additionally, in order for a UAV to navigate safely in areas such as buildings and offices with a number of obstacles, there must be a collision avoidance algorithm installed in the UAV's hardware, which should include the detection of obstacles, avoidance maneuvering, etc. In this paper, the optical flow method, one of the vision-based collision avoidance techniques, is introduced, and multi-rotor UAV's collision avoidance simulations are described in various virtual environments in order to demonstrate its avoidance performance.

• Nuclear Engineering and Technology
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• v.54 no.11
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• pp.4095-4101
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• 2022

Following the climate-related disasters considered by several efforts, the nuclear capacity needs to double by 2050 compared to 2015. So, it is reasonable to investigate global warming incorporated with the fuzzy set theory for nuclear energy consumption in the aspect of fuzziness and nonlinearity of temperature variations. The complex modeling is proposed for the enhanced assessment of climate change where simulations indicate the degree of influence with the Boolean values between 0.0 and 1.0 in the designed variables. In the case of OIL, there are many 1.0 values between 20^th and 60^th months in the simulations where there are 10 times more for a 1.0 value in influence. Hence, the temperature variable can give the effective time using this study for 100 months. In the analysis, the 1.0 value in NUCLEAR means the highest influence of the modeling as the temperature increases resulting in global warming. In detail, the first influence happens near the 8th month and then there are four times more influences than effects in the early part of the temperature mitigation. Eventually, in the GLOBAL WARMING, the highest peak is around the 20^th month, and then it is stabilized.