• Journal of Navigation and Port Research
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• v.32 no.7
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• pp.529-535
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• 2008

As a method to reduce collision accidents of ships at sea, this paper suggests an expert system for collision avoidance and navigation (hereafter "ESCAN"). The ESCAN is designed and developed by using the theory and technology of expert system and based on the information provided by AIS and RADAR/ARPA system. In this paper the ESCAN is composed of four(4) components; Facts/Data Base in charge of preserving data from navigational equipment, Knowledge Base storing production rules of the ESCAN, Inference Engine deciding which rules are satisfied by facts or objects, User System Interface for communication between users and ESCAN. The ESCAN has the function of real--time analysis and judgment of various encountering situations between own ship and targets, and is to provide navigators with appropriate plans of collision avoidance and additional advice and recommendation This paper, as a basic study, is to introduce the basic design and function of ESCAN.

• Journal of the Institute of Convergence Signal Processing
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• v.3 no.2
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• pp.64-70
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• 2002

This paper proposes a new construction method of neural networks. The construction method consists of two fundmental ideas, which are a parallel selection-style evaluation and rules evolution. A new collision avoidance algorithm using genetic and neural network is proposed to avoid moving obstacles such as mobile robots. The input parameters of this algorithm is position of moving obstacles and target. Output is a regenerated direction of mobile robot. This algorithm is very simple and so, it is available to application of real time process. The pattern of collision avoidance is learned through test execution.

• Journal of Arbitration Studies
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• v.31 no.2
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• pp.99-118
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• 2021

The participants in this study were university students, who are millennials and familiar with various devices and SNS enabling hyper connection, such as smartphones, the Internet, and the Internet of Things. People are sustaining their relationships with others by using the latest technology and cutting-edge devices at will. Some purchases are made at offline stores through online information, but products are checked through offline stores and purchased online. The MZ generation, which does not always have a fixed and constant behavioral response pattern, was considered a participant in this study because the response pattern may vary depending on one's tendency to avoid uncertainty. As a result of experimenting with the MZ generation, similar results were found in all dependent variables. Advertorial and general ads treated as independent variables affected the participants' tendency to avoid uncertainty. In other words, uncertainty avoidance tendency and interaction effect were found as a result of verifying the effects on the dependent variable of ads type. In an advertorial, the group with low uncertainty avoidance tendencies showed higher dependent variable effects than the group with high uncertainty avoidance tendencies; in general ads, uncertainty avoidance tendencies were higher. The higher group showed higher dependent variable effects than the lower group. Therefore, the group with a low tendency to avoid uncertainty has a high level of dependent variable effects in the advertorial, and the group with high uncertainty avoidance tendency performs self-interpretation in general ads.

• Journal of electromagnetic engineering and science
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• v.7 no.3
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• pp.129-133
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• 2007

In this paper, we present the development of an antenna specialized for the maritime collision avoidance system. This antenna is configured as the dielectric rod partially embedded in the metal cavity to reduce the overall size, simultaneously assuring the mechanical sturdiness against the challenging oceanic weather conditions. More importantly, the design has been carefully done to meet the requirements on the radiation pattern(with the slope < 5 dB/deg in the elevation(E-plane), circular in the azimuth) suitable to receiving the reflected signals from the other objects on the sea. To find the optimal design parameters, the genetic algorithm has been used to meet the goals of the desired return loss and pattern. This design methodology is validated by the good agreement between the calculation and measurement.

• Journal of the Korean Mathematical Society
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• v.44 no.1
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• pp.189-198
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• 2007

We have defined a bijective map from certain set of coinstacks onto the permutations avoiding 132-pattern and give an algorithm that finds a corresponding permutation from a given coin-stack. We also list several open problems which are similar as a CS-partition problem.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.2 no.2
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• pp.100-108
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• 2002

A fuzzy logic for collision avoiding navigation of marine vehicles is proposed in this paper. VFF(Virtual Force Field) method, which is used widely in the field of mobile robots, is modifiel to apply to marine vehicles. The method is named MVFF (Modified Virtual Force Field) mothod. The MVFF consists of the determination of the heading angles far track-keeping mode ($\psi_{ca}$)and collision avoidance mode ($\psi_{ca}$). The operator can choose the pattern of the track-keeping mode in the proposed algorithm. The collision avoidance algorithm can handle static and/or moving obstacles. These functons are implemented using fuzzy logic. Various simulation results verify the proposed alogorithm.

• International Journal of Control, Automation, and Systems
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• v.2 no.2
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• pp.171-181
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• 2004

An autonomous navigation algorithm for marine vehicles is proposed in this paper using fuzzy logic under COLREG guidelines. The VFF (Virtual Force Field) method, which is widely used in the field of mobile robotics, is modified for application to the autonomous navigation of marine vehicles. This Modified Virtual Force Field (MVFF) method can be used in either track-keeping or collision avoidance modes. Moreover, the operator can select a track-keeping pattern mode in the proposed algorithm. The collision avoidance algorithm has the ability to handle static and/or moving obstacles. The fuzzy expert rules are designed deliberately under COLREG guidelines. An extensive simulation study is used to verify the proposed method.

• Journal of Information Processing Systems
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• v.17 no.2
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• pp.318-333
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• 2021

Smartphones are one of the most widely used mobile devices allowing users to communicate with each other. With the development of mobile apps, many companies now provide various services for their customers by studying interactive systems in the form of mobile messengers for business marketing and commercial promotion. Such interactive systems are called "chatbots." In this paper, we propose a method of avoiding the redundant responses of chatbots, according to the utterances entered by the user. In addition, the redundant patterns of chatbot responses are classified into three categories for the first time. In order to verify the proposed method, a chatbot is implemented using Telegram, an open source messenger. By comparing the proposed method with an existent method for each pattern, it is confirmed that the proposed method significantly improves the redundancy avoidance rate. Furthermore, response performance and variation analysis of the proposed method are investigated in our experiment.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.2
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• pp.169-175
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• 2022

Unexpected events, such as the COVID-19 pandemic, can occur at any time and have an influence on all countries. The COVID-19 pandemic has infected more than 200 nations, including Indonesia. As a result of this phenomenon, Indonesia's state revenue system will need to be adjusted. Therefore, the goal of this research is to see if there are any differences in taxation in Indonesia as a result of the COVID-19 incident. The data was collected using the base years of 2018, 2019, and 2020. The information came from the financial statements of companies in the industrial sector that are publicly traded on the Indonesian Stock Exchange (IDX). Purposive sampling was used, and there were 54 companies represented in the samples that met the criterion. In this study, the difference test was used as an analytical technique. According to the findings, there was no difference in the pattern of tax avoidance between pre-COVID-19 in 2019 and during the COVID-19 period in terms of leverage and fixed asset intensity. It occurred because the tax avoidance policy was implemented as a short-term fiscal strategy to ensure the company's existence. Finally, because these findings were restricted to the Indonesian environment, their generalizability was limited.

• Korean Journal of Childcare and Education
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• v.11 no.1
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• pp.153-171
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• 2015

The purposes of this study were to explore the relations of preschoolers' narrative representation profile types to diurnal cortisol regulation pattern at home. Fourteen story stems from the MacArthur Story Stem Battery (MSSB, Bretherton, et al., 1990) were administered to 40 preschoolers(22 boys, 18 girls, aged 5) recruited from 8 kindergartens in the Seoul and Gyeonggi areas. And also, their saliva cortisol was collected. The children's responses were aggregated into 5 dimensions, based on content themes and performance scores, which included emotions expressed and narrative coherence using the MacArthur Narrative Coding System(Robinson, et al., 2004). Data were analyzed by means of cluster analysis. Five response profiles emerged over the course of this research: Prosocial, Anxiety, Dyregulated aggression, Restricted, and Avoidance profiles. Cortisol at home showed decrease diurnal cortisol regulation patterns, however it showed a difference according to narrative response profiles. Restricted, Prosocial, and Avoidance profiles showed decrease diurnal cortisol regulation patterns. Anxiety profiles showed flat pattern, and Dyregulated aggression profile showed rising diurnal cortisol regulation pattern. These results show the preschoolers' internal representation may affect the diurnal cortisol reaction in daytime.