• The Journal of Korea Robotics Society
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• v.14 no.3
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• pp.170-178
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• 2019

This paper proposes a parking space detection method for autonomous parking by using the Around View Monitor (AVM) image and Light Detection and Ranging (LIDAR) sensor fusion. This method consists of removing obstacles except for the parking line, detecting the parking line, and template matching method to detect the parking space location information in the parking lot. In order to remove the obstacles, we correct and converge LIDAR information considering the distortion phenomenon in AVM image. Based on the assumption that the obstacles are removed, the line filter that reflects the thickness of the parking line and the improved radon transformation are applied to detect the parking line clearly. The parking space location information is detected by applying template matching with the modified parking space template and the detected parking lines are used to return location information of parking space. Finally, we propose a novel parking space detection system that returns relative distance and relative angle from the current vehicle to the parking space.

• Journal of Microbiology and Biotechnology
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• v.16 no.11
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• pp.1720-1727
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• 2006

To set up a kinetic model that can provide a theoretical basis for developing a new mathematical model of the Cr(VI) biosorption column using brown seaweed Ecklonia biomass, a differential reactor system was used in this study. Based on the fact that the removal process followed a redox reaction between Cr(VI) and the biomass, with no dispersion effect in the differential reactor, a new mathematical model was proposed to describe the removal of Cr(VI) from a liquid stream passing through the differential reactor. The reduction model of Cr(VI) by the differential reactor was zero order with respect to influent Cr(IlI) concentration, and first order with respect to both the biomass and influent Cr(VI) concentrations. The developed model described well the dynamics of Cr(VI) in the effluent. In conclusion, the developed model may be used for the design and performance prediction of the biosorption column process for Cr(VI) detoxification.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.2
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• pp.771-788
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• 2020

Detection of abandoned objects for smart video surveillance should be robust and accurate in various situations with low computational costs. This paper presents a new algorithm for abandoned object detection based on the dual background model. Through the template registration of a candidate stationary object and presence authentication methods presented in this paper, we can handle some complex cases such as occlusions, illumination changes, long-term abandonment, and owner's re-attendance as well as general detection of abandoned objects. The proposed algorithm also analyzes video frames at specific intervals rather than consecutive video frames to reduce the computational overhead. For performance evaluation, we experimented with the algorithm using the well-known PETS2006, ABODA datasets, and our video dataset in a live streaming environment, which shows that the proposed algorithm works well in various situations.

• Annual Conference on Human and Language Technology
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• 2000.10d
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• pp.245-251
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• 2000

지금까지의 정보검색 시스템은 소위 키워드 기반 정보검색 시스템으로서 색인이 단일 단어(single word) 즉 키워드의 집합으로 나타내어 진다. 그러나 이 방법은 문서의 내용을 정확히 표현하는 데 한계가 있다. 따라서 최근에는 단어 이상의 구문 단위인 구(phrase)를 이용하여 색인과 검색을 하도록 하는 시스템을 개발하고자 하는 추세에 있다. 따라서, 본 논문에서는 키워드보다는 의미를 좀더 잘 나타내고 일반적인 구보다는 정형화된 형태의 색인 단위인 키팩트를 색인어로 하는 정보검색시스템을 개발하고 이의 성능을 살펴보았다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2018.06a
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• pp.130-132
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• 2018

최근 1인 미디어의 확장과 맞물려 개인 차원에서의 영상편집이 활성화되고 있다. 인기 영상강의를 위주로 초보자들도 쉽게 접근할 수 있으나 여전히 많은 사람들이 영상제작을 어려워하고 있다. 특히 밝기, 대비 및 색 보정에서 어려움을 많이 겪는다. 전문적인 영상편집 툴의 경우 자동 보정 기능을 제공하고 있으나 파이널 컷의 경우 Apple 사의 맥 디바이스 환경을 구축해야 하는 문제, Adobe사 프로그램의 경우 완전 자동 기능 부재 및 무거운 연산처리 과정 및 유료화로 인한 접근성 저하, 기타 프로그램들의 경우 설치 접근성이 낮다는 단점이 있었다. 이에 본 연구에서는 클라우드 기반의 쉽고 빠른, 접근성을 높인 자동 영상보정 서비스를 제시하려 한다. 최종 단계의 클라우드 서비스에서는 흔들림 보정, 색 보정, 대비 보정, 명암 보정의 향상 기능과 컷 단위 인식, 신단위 인식, 객체 단위 인식의 서비스를 제공해야 한다는 결론에 도출하였다. 본 논문에서는 연구의 시작으로 클라우드 서비스 구축 및 OpenCV를 활용하여 프레임 별 영상 향상 알고리즘 구현을 시행하였다.

• The Journal of Korea Robotics Society
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• v.17 no.2
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• pp.183-190
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• 2022

Accurate kinematic parameters of mobile robots are essential because inaccurate kinematic model produces considerable uncertainties on its odometry and control. Especially, kinematic parameters of caster type mobile robots are important due to their complex kinematic model. Despite the importance of accurate kinematic parameters for caster type mobile robots, few research dealt with the calibration of the kinematic model. Previous study proposed a calibration method that can only calibrate double-wheeled caster type mobile robot and requires direct-measuring of robot center point and distance between casters. This paper proposes a calibration method based on geometric approach that can calibrate single-wheeled caster type mobile robot with two or more casters, does not require direct-measuring, and can successfully acquire all kinematic parameters required for control and odometry. Simulation and hardware experiments conducted in this paper validates the proposed calibration method and shows its performance.

• Journal of The Korean Association For Science Education
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• v.24 no.1
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• pp.183-192
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• 2004

The purpose of this research is to suggest the way to promote housewives' understanding of science and technology, based on the survey results of the attitude toward science and technology, the scientific attitude, and the interest in science and technology of housewives in Korea. The questionnaire was developed by researchers and administered to housewives who live in Seoul to get basic information. Housewives showed slightly positive attitudes toward science and technology, and similarly positive scientific attitudes. These scores were increased as monthly income and education level were raised. Housewives' interest of the science-technology related topics (foods, health, education, leisure, social issues, cooking, housing, everyday activity) was relatively high, and the interest of foods, health, education, and leisure was significantly correlated with the scores of housewives' attitude towards science and technology and their scientific attitudes. Housewives are shown to be curious to know these topics when they were asked by their children or do not know the terms appeared in media, or purchase home appliances and food. And they get the answers in a passive way by asking their family members or by watching TV or newspapers. They preferred TV program for enhancing their understanding of science. But such program could be proper to present science knowledge but not fulfill the role to promote scientific literacy. Specially designed programs through science centers or science museums would be suggested for their lifelong education.

• Journal of Sensor Science and Technology
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• v.23 no.5
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• pp.291-294
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• 2014

In this study, a chemiresistive sensor based on one-dimensional $WO_3$ nanostructures is presented for application in non-invasive medical diagnostics. $WO_3$ nanostructures were used as an active gas sensing layer and were deposited onto a $SiO_2/Si$substrate using Pt interdigitated electrodes (IDEs). The IDE spacing was $5{\mu}m$ and deposition was performed using RF sputter with glancing angle deposition mode. Pt IDEs fabricated by photolithography and dry etching. In comparison with thin film sensor, sensing performance of nanostructure sensor showed an enhanced response of more than 20 times when exposed to 50 ppm acetone at $400^{\circ}C$. Such a remarkable faster response can pave the way for a new generation of exhaled breath analyzers based on chemiresistive sensors which are less expensive, more reliable, and less complicated to be manufactured. Moreover, presented sensor technology has the potential of being used as a personalized medical diagnostics tool in the near future.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.9
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• pp.4264-4279
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• 2017

In this paper, maximum likelihood-based automatic lexicon generation using mixed-syllables is proposed for unlimited vocabulary voice interface for East Asian languages (e.g. Korean, Chinese and Japanese) in AI-assistant based interaction with mobile devices. The conventional lexicon has two inevitable problems: 1) a tedious repetition of out-of-lexicon unit additions to the lexicon, and 2) the propagation of errors during a morpheme analysis and space segmentation. The proposed method provides an automatic framework to solve the above problems. The proposed method produces a level of overall accuracy similar to one of previous methods in the presence of one out-of-lexicon word in a sentence, but the proposed method provides superior results with the absolute improvements of 1.62%, 5.58%, and 10.09% in terms of word accuracy when the number of out-of-lexicon words in a sentence was two, three and four, respectively.

• Journal of Information Processing Systems
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• v.12 no.3
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• pp.489-501
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• 2016

As interest in the Internet increases, related technologies are also quickly progressing. As smart devices become more widely used, interest is growing in words are missing here like "improving the" or "figuring out how to use the" future Internet to resolve the fundamental issues of transmission quality and security. The future Internet is being studied to improve the limits of existing Internet structures and to reflect new requirements. In particular, research on words are missing here like "finding new forms of" or "applying new forms of" or "studying various types of" or "finding ways to provide more" reliable communication to connect the Internet to various services is in demand. In this paper, we analyze the security threats caused by malicious activities in the future Internet and propose a human behavior analysis-based security service model for malware detection and intrusion prevention to provide more reliable communication. Our proposed service model provides high reliability services by responding to security threats by detecting various malware intrusions and protocol authentications based on human behavior.