• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.11a
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• pp.25-28
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• 2006

사용자 의도 파악 (intention reading) 기술은 스마트 홈과 같은 복잡한 유비쿼터스(ubiquitous) 환경에서 사용자에게 보다 편리하고 개인화된(personalized) 서비스 제공이 가능하도록 해준다. 또한 학습 기능(learning capability)은 지식 발견(knowledge discovery)의 관점에서 의도 파악 기술의 핵심 요소 기술의 하나로 자리 매김 하고 있다. 본 논문에서는 스마트 홈 환경에서 제공 가능한 개인화된 서버스(personalized service) 중의 하나로, 개인화된 미디어 제어 방법에 대한 내용을 다룬다. 특히, 이러한 사람의 행동 패턴과 같은 데이터는 패턴 분류의 관점에서 구분해야 할 클래스(class)에 비해 입력 정보가 불충분할 경우가 많으므로 비일관적인(inconsistent) 데이터가 많으므로, 퍼지 논리(fuzzy logic)와 확률(probability)의 개념을 효과적으로 병행해야 의미 있는 지식을 추출해 낼 수 있다. 이를 위하여 반복 퍼지 지도 클러스터링 (IFCS; Iterative Fuzzy Clustering with Supervision) 알고리즘에 기반하여 주어진 데이터 패턴으로부터 확률적 퍼지 룰(probabilistic fuzzy rule)을 얻어 내는 방법에 대해 설명한다. 또한 이를 포함하는 학습 제어 시스템을 통해 개인화된 미디어 서비스를 추천해 줄 수 있는 방법에 대해서 설명하도록 한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.11
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• pp.2083-2089
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• 2007

In this paper addresses the low-level behavior of fuzzy control and the high-level behavior selector for Autonomous Mobile Robots(AMRs) based on a Fuzzy Artificial Immune Network. The sensing information that comes from ultrasonic sensors is the antigen it, and stimulates antibodies. There are many possible combinations of actions between action-patterns and external situations. The question is how to handle the situations to decide the proper action. We propose a fuzzy artificial immune network to solve the above problem. and the computer simulation for an AMR action selector shows the usefulness of the proposed action selector.

• Korean Journal of Artificial Intelligence
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• v.9 no.2
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• pp.35-40
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• 2021

In this paper, many game companies seek better optimization and easy-to-apply logic to prolong the game's lifespan and provide a better game environment for users. Therefore, research will be showing the game's key input response method called RoS (Response of Speed). The purpose of the method is to simultaneously perform various motions with the character showing natural motion without errors even if the character's control key is duplicated. This method is for the developers so they can reduce bugs and development time in future game development. To be used with quickly generating game environments, the new method compares with the popular motion method, so which method is faster and can adapt to diverse games. The paper suggested that the Response of Speed method is a better method for optimizing frames and reducing the number of reacting seconds by showing a faster response and speed). With the method popularity of scrollers, many 2D cross-scroll games follow the formula of Dash, Shoot, Walk, Stay, and Crouch. With the development of game engines, it is becoming easier to implement them. Therefore, although the method presented in the above paper differs from the popular method, it is expected that there will be no great difficulty in applying it to the game because transplantation is easy. In the future, we plan to study to minimize the delay of each connection of the character motion so that the game can be optimized to best.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.34 no.6
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• pp.475-479
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• 2021

There are many difficulties in the applications of smart manufacturing technology in the era of the 4th industrial revolution. In this paper, a test bed was built to aim for acquiring smart manufacturing technology, and the test bed was designed to acquire basic technologies necessary for PLC (Programmable Logic Controller), HMI, Internet of Things (IoT), artificial intelligence (AI) and big data. By building a vehicle maintenance lift that can be easily accessed by the general public, PLC control technology and HMI drawing technology can be acquired, and by using cloud services, workers can respond to emergencies and alarms regardless of time and space. In addition, by managing and monitoring data for smart manufacturing, it is possible to acquire basic technologies necessary for embedded systems, the Internet of Things, artificial intelligence, and big data. It is expected that the improvement of smart manufacturing technology capability according to the results of this study will contribute to the effect of creating added value according to the applications of smart manufacturing technology in the future.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.12
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• pp.1595-1601
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• 2018

The biggest obstacle to the commercialization of small and medium size microgrid (MG) is the reliability and economics of MG operation and maintenance. In this paper, we propose an autonomous operation method that is implemented as an application program installed in the MG operating system in emergency situations. The proposed algorithm consists of four steps of distinction, recognition, determination and control of emergency situations that can occur in MG. A fuzzy-based situation decision algorithm has been proposed to eliminate the barriers of autonomous operation in actual emergency situation such as occurrence of bad data and communication delay. In addition, countermeasures have been suggested for cases where multiple emergency situations have occurred in combination. The proposed algorithm was tested in a 500kW actual microgrid site of a university. Through the test, the validity of the proposed method and its applicability to practical MG operation are verified.

• Journal of the Semiconductor & Display Technology
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• v.17 no.1
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• pp.12-20
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• 2018

Recently, web-based service software has been used as to combine various information or to share information according to the needs of users and the convergence of specialized fields and individual dependent systems. According to the necessity of the user, the proper service environment and the selective service environment according to the purpose and the needs of the user have been studied in a variety of specialized and combined professional research fields and industries. Software based on cloud systems and web services is being used as a tool for appropriate group and user groups and roles. A service system combined dynamically needs a module to manage a user through internal logic and grant a service access authentication. Therefore, it has been considered various approaches that a user who accesses the system is given a service access authority for a certain period of time. Also, when the deadline is over, the authority that you are given to access system will go through the process of expire the right. In this paper, we define the roles of users who access web services, manage user rights according to each role, and provide appropriate service resources to users according to their rights and session information. We analyzed the procedure of constructing the algorithm for the service according to the procedure of each user accessing the web service, granting the service resource and constructing a new role.

• Journal of IKEEE
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• v.23 no.3
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• pp.1068-1076
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• 2019

Most of the electronics we use today have built-in microcontrollers, which are called embedded systems. In such a small environment, responsiveness is very important for the microcontroller. In this paper, the basic input/output control, timer/counter interrupt operation principle, and understanding of the microcontroller are described. Program logic is proposed to improve throughput and latency by controlling characteristics of service routine and program execution order. The hardware simulations in this paper were verified using ATmega128 and PIC16F877A from Atmel and Microchip.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.1
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• pp.239-245
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• 2019

RISC-V is a free and open ISA enabling a new era of processor innovation through open standard collaboration. Born in academia and research, RISC-V ISA delivers a new level of free, extensible software and hardware freedom on architecture, paving the way for the next 50 years of computing design and innovation. In this paper, according to the emergence of RISC-V architecture, we describe the RISC-V processor instruction set constituted by arithmetic logic, memory, branch, control, status register, environment call and break point instructions. Using ModelSim and Quartus-II, 38 instructions of RISC-V has been successfully simulated and synthesized.

• Journal of English Language & Literature
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• v.64 no.4
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• pp.651-672
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• 2018

Death of a Salesman is centered on Willy Loman trying to achieve the American dream and taking his family along for the ride. This paper explores the meaning of his suicide in the work through the Adorno's theory on the individual's reification and commodity by an exchange value in the capitalism and argues that Bourdieu's capital classification shows the cause of his tragic decision. Reification refers to "the structural process whereby the commodity form permeates life in capitalist society." and Adorno called the reification of consciousness an epiphenomenon. The social-psychological level in Adorno's diagnosis serves to demonstrate the effectiveness and pervasiveness of late capitalist exploitation. According to Bourdieu, cultural capital can exist three forms: in the embodied state, in the objectifed state and in the instituionalized state. He states embodied capital is argued to be the most significant influence; however unlike other forms of capital (social, economic, etc.) obtaining embodied capital is largely out of the individuals' control as it is developed from birth. In conclusion, I suggest Death of a Salesman can be interpreted as a text criticizing the internalization of the subject, which is the result of the self-destructive mechanism of the subject in the logic of modern subject formation.

• The Transactions of the Korean Institute of Power Electronics
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• v.27 no.4
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• pp.297-304
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• 2022

This study compares the performance of artificial intelligence (AI)-based maximum power point tracking (MPPT) methods under partial shading conditions in a photovoltaic generation system. Although many studies on AI-based MPPT have been conducted, few studies comparing the tracking performance of various AI-based global MPPT methods seem to exist in the literature. Therefore, this study compares four representative AI-based global MPPT methods including fuzzy logic control (FLC), particle swarm optimization (PSO), grey wolf optimization (GWO), and genetic algorithm (GA). Each method is theoretically analyzed in detail and compared through simulation studies with MATLAB/Simulink under the same conditions. Based on the results of performance comparison, PSO, GWO, and GA successfully tracked the global maximum power point. In particular, the tracking speed of GA was the fastest among the investigated methods under the given conditions.