• 한국정보통신학회논문지
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• 제11권1호
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• pp.181-190
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• 2007

본 논문에서는 지능형 선박의 실시간 장애물회피를 위한 충돌회피시스템을 논한다. 다른 무인자율항체들의 충돌회피시스템과는 달리 지능형 선박의 충돌회피시스템은 목적지까지의 합리적이고 안전한 경로를 통한 충돌회피뿐만 아니라 해양을 항해하는 모든 선박이 준수해야하는 국제해상충돌예방규칙(COLRECs, International Regulations for Preventing Collisions at Sea)을 반영해야한다. 목적지까지의 합리적이고 안전한 경로를 통한 충돌회피라는 일반적인 충돌회피시스템의 목표를 달성하기 위해 BK-곱에 기반한 휴리스틱 탐색기법을 채용하며, 또 다른 목표인 COLREGs의 준수를 위해 충돌회피를 위한 규칙을 적용하는 지식기반시스템을 채용한다. 제안된 충돌회피시스템의 성능검증을 위해 COLREGs에 명시된 여러 가지 조우상황을 설정한 시나리오를 이용하여 최적성과 안정성 관점에서 시뮬레이션을 수행하고 그 결과를 $A^{\ast}$ 탐색기법과 비교한다. 시뮬레이션을 통해 제안된 충돌회피시스템이 지능형 선박의 실용적이고 효율적인 실시간 충돌회피시스템으로 적합함을 확인하였다.

• 한국멀티미디어학회논문지
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• 제23권8호
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• pp.1088-1098
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• 2020

This paper proposes an obstacle avoidance method using a depth polar grid. Depth information is a crucial factor for determining the safe path for collision-free navigation of unmanned aerial vehicles (UAVs) as it can perceive the distance to the obstacles effectively. However, the existing depth-camera-based approaches for obstacle avoidance require computational y expensive path planning algorithms. We propose a simple navigation method using the polar-grid of the depth information obtained from the camera with narrow field-of-view(FOV). The effectiveness of the approach was validated by a series of experiments using software-in-the-loop simulation in a realistic outdoor environment. The experimental results show that the proposed approach successfully avoids obstacles using a single depth camera with limited FOV.

• 한국통신학회논문지
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• 제33권8B호
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• pp.657-666
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• 2008

The intersection collision avoidance service among various telematics application services is regarded as one of the most critical services with regard to safety. In such safety applications, real-time, correct transmission of service is required. In this paper, we study on efficient infrastructure architecture for intersection collision avoidance using a cooperative mechanism between vehicles and wireless infrastructure. In particular, we propose an infrastructure, called CISN (Cooperative Infrastructure associated with Sensor Networks), in which proper numbers of sensor nodes are deployed on each road, surrounding the intersection. In the proposed architecture, overall service performance is influenced by various parameters consisting of the infrastructure, such as the number of deployed sensor nodes, radio range and broadcast interval of base station, and so on. In order to test the feasibility of the CISN model in advance, and to evaluate the correctness and real-time transmission ability, an intersection sensor deployment simulator is developed. Through various simulations on several environments, we identify optimal points of some critical parameters to build the most desirable CISN.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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• pp.378-380
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• 2009

For the autonomous movement, the optimal pat]1 planning connecting between current and target positions is essential, and the optimal path of mobile robot means obstacle-free and the shortest length path to a target position. Many actual mobile robots should move without any information of surrounded obstacles. This paper suggests a new method of obstacle avoidment which is suitable in unknown environments. This method of obstacle avoidance is designed with a distributed fuzzy control system, and imitates a Potential Field method. A simulation confirms the performance and correctness of the obstacle avoidance.

• 한국컴퓨터정보학회논문지
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• 제23권6호
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• pp.33-41
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• 2018

This study examined the work - family relationship of married women in the digital age centered on avoidance of childbirth. Married women 's age, education level, family members living together, work - family affects the avoidance of childbirth. Also, it is analyzed that similar childbirth avoidance phenomenon occurs in the result of the number of future children. Based on the results of the research, it can be suggested that the support of the family living together, the stable employment of married women, and the family-friendly incentive system will have a positive effect on childbirth.

• Asia pacific journal of information systems
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• 제32권1호
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• pp.51-69
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• 2022

This study examines how consumers' intention to use a curbside pickup responds to the COVID-19 vaccination rates. With our first survey conducted in March 2021, we find that a low (high) vaccination rate is associated with consumers' high (low) intention to maintain contact avoidance and their high (low) anticipation for shipping delays. Heightened contact avoidance and anticipation for shipping delays may encourage consumers to use a curbside pickup. Our results also show that when a product is needed immediately, and a consumer expects shipping delays, s/he is more likely to use a curbside pickup. However, with our second survey conducted in November 2021, we find heterogeneous consumer responses to the vaccination rates. Specifically, consumers' political affiliation moderates the relationship between the vaccination rates and their intention to maintain contact avoidance. The association between the vaccination rates and the anticipation for shipping delays is also weakened compared to March 2021. Our empirical results illustrate how consumers' intention to use a curbside pickup emerges and changes amid the COVID-19 pandemic.

• Journal of Korea Trade
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• 제25권5호
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• pp.74-92
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• 2021

Purpose - Utilizing a large sample of Korean firms, this study examines international diversification impacts on corporate tax avoidance and whether firms affiliated with large business groups (known in Korean as "chaebol") reinforce the relationship between international diversification and tax avoidance. Design/methodology - This paper hypothesizes that 1) international diversification is likely to increase tax avoidance, 2) the positive effect of international diversification on tax avoidance is likely to be more pronounced for chaebol firms. We examine the hypotheses by using Korean firms listed in the Korean stock market between 2011 and 2016. We employ the number of foreign subsidiaries and the entropy index as proxies for international diversification and CASH ETR and GAAP ETR as proxies for tax avoidance. Findings - Our findings are summarized as follows. First, we have found that as firms are more internationally diversified, tax avoidance increases. It means that international diversification can be employed as a method of reducing the tax burden. Second, firms affiliated with chaebol are strengthened by the positive relation between international diversification and tax avoidance. It is interpreted that chaebol firms have more effective opportunities to reduce taxes than other firms. When entering foreign markets, they can share experience and resources to decrease taxation within the large business group. Originality/value - This study provides empirical evidence regarding the tax effect of international diversification. Unlike prior studies, international diversification is positively related to tax avoidance in Korea. In addition, we present additional evidence on the chaebol effects of international diversification on tax avoidance, in which they have an advantage to reduce taxes using transfer pricing through related party transactions, income shifting to low tax rate countries, and establishing subsidiaries in tax havens.

• 대한전기학회논문지:시스템및제어부문D
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• 제54권5호
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• pp.291-299
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• 2005

An obstacle avoidance algorithm for a network-based autonomous mobile robot is proposed in this paper. The obstacle avoidance algorithm is based on the VFH(Vector Field Histogram) algorithm and two delay compensation methods with the VFH algorithm are proposed for a network-based robot with distributed environmental sensors, mobile actuators, and the VFH controller. Firstly, the environmental sensor information is compensated by prospection with acquired environmental sensor information, measured network delays, and the kinematic model of the robot. The compensated environmental sensor information is used for building polar histogram with the VFH algorithm. Secondly, a sensor fusion algorithm for localization of the robot is proposed to compensate the delay of odometry sensor information and the delay of environmental sensor information. Through some simulation tests, the performance enhancement of the proposed algorithm in the viewpoint of efficient path generation and accurate goal positioning is shown here.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제8권1호
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• pp.82-86
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• 2008

The article presents ARTMAP and Fuzzy BK-Product approach underwater obstacle avoidance for the Autonomous underwater Vehicles (AUV). The AUV moves an unstructured area of underwater and could be met with obstacles in its way. The AUVs are equipped with complex sensorial systems like camera, aquatic sonar system, and transducers. A Neural integrated Fuzzy BK-Product controller, which integrates Fuzzy logic representation of the human thinking procedure with the learning capabilities of neural-networks (ARTMAP), is developed for obstacle avoidance in the case of unstructured areas. In this paper, ARTMAP-Fuzzy BK-Product controller architecture comprises of two distinct elements, are 1) Fuzzy Logic Membership Function and 2) Feed-Forward ART component. Feed-Forward ART component is used to understanding the unstructured underwater environment and Fuzzy BK-Product interpolates the Fuzzy rule set and after the defuzzyfication, the output is used to take the decision for safety direction to go for avoiding the obstacle collision with the AUV. An on-line reinforcement learning method is introduced which adapts the performance of the fuzzy units continuously to any changes in the environment and make decision for the optimal path from source to destination.

• 제어로봇시스템학회논문지
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• 제18권12호
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• pp.1122-1131
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• 2012

This paper presents obstacle avoidance method for scout robot or industrial robot in unknown environment by using IR sensor and vision system. In the proposed method, robots share the information where the obstacles are located in real-time, thus the robots can choose the best path for obstacle avoidance. Using IR sensor and vision system, multiple robots efficiently evade the obstacles by the proposed cooperation method. No landmark is used at wall or floor in experiment environment. The obstacles don't have specific color or shape. To get the information of the obstacle, vision system extracts the obstacle coordinate by using an image labeling method. The information obtained by IR sensor is about the obstacle range and the locomotion direction to decide the optimal path for avoiding obstacle. The experiment was conducted in $7m{\times}7m$ indoor environment with two-wheeled mobile robots. It is shown that multiple robots efficiently move along the optimal path in cooperation with each other in the space where obstacles are located.