• KIPS Transactions on Software and Data Engineering
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• v.3 no.8
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• pp.299-308
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• 2014

Various literatures related computing of information processing have been recently shown the researches inspired from the remarkably excellent human capabilities which recognize and categorize very complex visual patterns such as body motions and facial expressions. Applied from human's outstanding ability of perception, the classification function of visual sequences without context information is specially crucial task for computer vision to understand both the coding and the retrieval of spatio-temporal patterns. This paper presents a biological process based action recognition model of computer vision, which is inspired from visual information processing of human brain for action recognition of visual sequences. Proposed model employs the structure of neural fields of bio-inspired visual perception on detecting motion sequences and discriminating visual patterns in human brain. Experimental results show that proposed recognition model takes not only into account several biological properties of visual information processing, but also is tolerant of time-warping. Furthermore, the model allows robust temporal evolution of classification compared to researches of action recognition. Presented model contributes to implement bio-inspired visual processing system such as intelligent robot agent, etc.

• Journal of the Korea Convergence Society
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• v.11 no.11
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• pp.75-80
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• 2020

Since the Fourth Industrial Revolution, important technologies such as big data analysis, robotics, Internet of Things, and the artificial intelligence have been used in various fields. Generally speaking it is understood that the big-data technology consists of gathering stage for enormous data, analyzing and processing stage and distributing stage. Until now crime records which is one of useful big-sized data are utilized to obtain investigation information after occurring crimes. If crime records are utilized to predict crimes it is believed that crime occurring frequency can be lowered by processing big-sized crime records in big-data framework. In this research the design is proposed that the smart system can provide the users of smart devices crime occurrence probability by processing crime records in big-data analysis. Specifically it is meant that the proposed system will guide safer routes by displaying crime occurrence probabilities on the digital map in a smart device. In the experiment result for a smart application dealing with small local area it is showed that its usefulness is quite good in crime prevention.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2010.06a
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• pp.24-24
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• 2010

대형구조물의 구조안정성 진단, 로봇과 같은 지능기계의 제어, 환경오염을 감지하기 위한 센서의 중요성은 날로 증대되고 있다. 이러한 센서의 감도와 성능을 높이기 위해서 소형화, 다기능화, 집적화가 요구되고 있는데, 고성능 센서소자들의 집적화를 위해서 기존에 적용된 벌크형태의 재료들을 박막화하여 다층적층 및 소형화할 필요가 있다. 집적화 센서의 구현에 있어서 전극박막은 센서의 특성을 좌우하는 중요한 역할을 한다. 일반적으로 금속박막이 전극으로 사용되고 있으나 열적 불안정성 및 박리현상의 문제점을 지니고 있다. 따라서 이를 해결하기 위해 전도성산화막을 전극으로 적용하고자하는 연구가 요구되고 있다. 전도성산화막을 전극으로 적용하면 센서소자의 성능이 개선되는 경향이 있다. $Sr_2FeMoO_6$(SFMO) 산화물은 자기장을 인가했을 때 저항이 감소하는 CMR(colossal magnetoresistance) 물질이며 상온비저항이 낮은 것으로 알려져 있다. 이중 페롭스카이트 (double perovskite) 구조를 갖는 $Sr_2FeMoO_6$ 박막은 센서소자의 전극으로 적용 가능할 것으로 생각되어 박막을 제조하고자 하였으며 미세구조와 전기전도 특성을 조사하였다. 박막제조를 위해서는 RF 스퍼터법을 사용하였다. 스퍼터를 위한 타겟은 고상반응법으로 분말타겟을 제조하였다. Ar/$O_2$ 가스 유랑변화, 압력변화, 기판 온도변화가 박막의 상형성 등 박막특성에 미치는 영향을 조사하였다. 기판으로는 $SiO_2$(100nm)/Si 기판을 사용하였다. 증착직후에는 비정질막이 얻어졌으며 SFMO 상을 만들기 위해서는 후열처리가 필요하였는데, 환원성 가스 분위기 [$H_2$(5%)/Ar] 에서 열처리 조건을 최적화하여 이중 페롭스카이트 구조의 단일상 박막을 제조할 수 있었다. SFMO 단일상 박막은 증착시에나 후열처리 시 산소의 억제가 중요함을 알 수 있었다.

• Journal of the Korean Society of Industry Convergence
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• v.21 no.2
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• pp.87-93
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• 2018

This Study Propose A New Approach To Impliment A Intelligent Robot Control Based on Voice Recognition For Smart Factory Automation Since human usually communicate each other by voices, it is very convenient if voice is used to command humanoid robots or the other type robot system. A lot of researches has been performed about voice recognition systems for this purpose. Hidden Markov Model is a robust statistical methodology for efficient voice recognition in noise environments. It has being tested in a wide range of applications. A prediction approach traditionally applied for the text compression and coding, Prediction by Partial Matching which is a finite-context statistical modeling technique and can predict the next characters based on the context, has shown a great potential in developing novel solutions to several language modeling problems in speech recognition. It was illustrated the reliability of voice recognition by experiments for humanoid robot with 26 joints as the purpose of application to the manufacturing process.

• Journal of the Korean Society for Precision Engineering
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• v.30 no.4
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• pp.368-374
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• 2013

Maintenance works for current high-rise buildings significantly depend on human labor, unlike other construction processes that are gradually being automated. Herein, this paper proposes robotic building maintenance system using motion control, in specific, reducing a system jerk which is directly subjected to improve the process performance and economic feasibility. The sensor for detecting straight and curvature section of the building facade, moreover rail-joint segment can be detected and be utilized for reducing jerk of the system. Analysis of the proposed system error caused by excessive vibration, e.g. jerk motion is introduced. To enhance the stability and safety of the system, herein, the strategy is proposed for enhancing the performance of the system based on anti-jerk motion control algorithm which comes out increasing the stability and sustainability of the integrated system, as well.

• Journal of KIISE:Software and Applications
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• v.34 no.8
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• pp.721-730
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• 2007

UML (Unified Modeling Language) is widely used to analyze and design target software. Developers also implement the target software based on the UML artifacts. However, it is difficult to validate whether the artifacts are generated to correspond to the modeling guidelines because the guidelines for UML modeling are described in natural language. This paper discusses rule based model checker focused on whether models are designed according to modeling methodology. We propose rules and their own checker, named GARDIAN, for UML model validation. The checkers are designed for COMET method for the real-time embedded system. We illustrate our checkers using Intelligent Robot system to validate our approach.

• Journal of KIISE:Software and Applications
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• v.35 no.7
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• pp.424-430
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• 2008

Identifying crosscutting concerns during requirements engineering phase is one of the most essential parts in Aspect-Oriented Software Development. Considering crosscutting concerns in the earlier phase of the development improves consistency among requirements so that it can help maintain software systems efficiently and effectively. It also provides a systematic way to manage requirements changes by supporting traceability throughout the software lifecycle. Thus, identifying tangled and scattered concerns, and encapsulating them into separate entities must be addressed from the early phase of the development. To do so, first, functional and non-functional concerns must be clearly separated. Second, a pointcut where a main concern meets crosscutting concerns should be defined and specified precisely. Third, it is required to detect conflicts being occurred during composition of crosscutting concerns from the earlier phase. Therefore, this paper proposes a systematic approach to identifying and specifying crosscutting concerns using goal-scenario based requirements analysis. And we demonstrate the applicability of the approach by applying it into the intelligent service robot system.

• Journal of Digital Convergence
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• v.10 no.4
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• pp.55-62
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• 2012

This paper analyze the DEA(Data Envelopment Analysis) efficiency of government budget to HRD program(ITRC) and correlation and regression between its inputs and outputs in the field of information technology. First, empirical results show that the relationship between the supporting period of government budget and scientific research & HRD outputs is respectively irrelevant. Second, another finding is that the relationship between government budget and HRD output is positive. Finally, DEA efficiency analysis implicates that SW/digital contents, digital TV, information security, intelligence robot, next generation PC, next generation mobile telecommunication, home network, mathematics, IT SoC are more efficient than any other technology fields.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2005.10a
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• pp.619-636
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• 2005

기술의 복합성이 증가하고 제품의 존속 수명주기가 불확실해지면서 기술개발자가 의도하는 바와는 관계없이 사업 영역과 기술기반의 변하고 있다. 이러한 환경 속에서 산업 내 기술의 특성을 분석하는 이른바 산업기술분석 역할은 매우 중요하다. 그러나 그 범위가 매우 광범위하고 그 중 기술개발에 있어 관련된 산업기술분석의 프레임이 구체적으로 적용된 사례를 제한적이다. 따라서 다양한 산업을 지원하는 정부 기술개발 기회의 경우, 반도체에 적용되는 모듈러 기반 기술개발 틀과 성과분석이 항공기, 지능형 로봇과 같은 복합 시스템 산업에 그대로 적용해왔던 것이 현실이다. 이는 기술을 제품화함에 있어 필수적인 개발시스템의 기술적 속성이 산업기술 분석 방법론에 효과적으로 체화되지 못했기 때문이다 본 연구는 시스템과 서브 부품으로 구성되는 제품설계 특성을 구조화한 제품 아키텍쳐 이론을 소개하고 이를 기술개발체계에 적용하는 실증적 연구를 수행한다. 실증적 분석을 위해 항공기 개발 전 과정을 분해하고 아키텍쳐 분석방법을 실제 적용하였다. 아키텍쳐는 대표적으로 모듈 형(Module)과 인테그랄 형(Integral)으로 구분한다. 실제로 한 가지의 제품 안에도 모듈형 부품과 인테그랄 형 부품이 복합적으로 혼합되어 있는 경우가 많다. 또한, 제품을 어느 레벨까지 분해할 지에 따라 모듈화의 정도도 달라 질 수 있다. 본 연구는 아키텍쳐 중 Integral 속성의 정도를 파악하여 아키텍쳐 정도를 파악하였다. 측정 기준으로 첫째, 타 부품과의 기능적인 상호연관성과 둘째, 체계종합 설계와의 상호의존성 두 가지를 설정하였다. 이러한 두 가지 아키텍쳐 기준을 547개의 항공우주 부품 및 기술을 적용해 본 결과, 항공기 개발과정은 총 $65\%$의 인테그럴 속성을 가지고 있으며 기술분야 별로 아키텍쳐 정도가 다르게 나타나고 있었다(전자 부품은 분야는 오히려 모듈형에 가까웠음). 비단 항공기 개발과정 뿐만 아니라 다른 산업, 제품에도 적용될 수 있는 틀을 마련함으로써, 기존 연구개발기회에서 산업기술 분석을 통한 체계적 기획으로 전환할 수 있는 새로운 대안을 제시한다. 결과적으로 산업기술의 특성과 구조를 반영한 기술개발 방법론으로 아키텍쳐 이론을 적용할 수 있는 단초를 마련했으며, 이것은 본 논문이 기대하는 바이기도 하다.

• Journal of Internet of Things and Convergence
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• v.6 no.2
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• pp.31-36
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• 2020

The remarkable change in the automobile industry, which is a traditional industrial field, is now evolving into a form of moving toward autonomous functions rather than humans due to various convenience functions and automatic driving or autonomous driving technologies if the person was central when driving the car. This situation is expanding to various industries such as the aviation industry and the drone market, as well as the robot market. The drone market in the aviation industry is being used in various fields due to the unmanned nature of drone operation. Among them, military drones are secret and due to the specificity of technology, details are not disclosed, but as a collection of advanced technologies, they have played a key role in drone development. In this study, the current status of China and the European Union, including the United States, which are major competitors in the drone field, was investigated, and the technologies of major countries were compared and analyzed through the characteristics and operational specifications of the drones currently in operation.