• Journal of Korea Multimedia Society
• /
• v.12 no.11
• /
• pp.1547-1556
• /
• 2009

In this paper, we propose a flame detection method using region expansions and on-line variances in outdoor infrared video sequences. To segment flame candidates' regions in infrared images, we first, extract initial regions by high threshold values in infrared images and then the segmented regions are expanded to their neighbors with similar high intensity values. The segmented regions could be non-flame areas like bare-grounds and buildings. Therefore, to detect flame regions in the segmented regions, the segmented regions which have high intensity values in infrared image, are tracked using bounding regions in frame sequences. Variances in the tracked regions are calculated effectively by on-line updates to measure intensity variations on the tracked regions. Experiments show that the proposed method, which is based on region expansions and the average of on-line variances in the regions, is efficient to detect flames in infrared image.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.15 no.6
• /
• pp.1187-1194
• /
• 2020

We presented a method of deep quiz cropping for automatic construction of quiz pool in online quiz systems. The method detects question boxes and sunda boxes in images captured from test papers by a deep learning-based object detector, and makes pairs of question box and sunda box by the box coupling. We applied the deep quiz cropping to images captured from test papers and achieved successful results.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2020.07a
• /
• pp.69-70
• /
• 2020

본 논문에서는 현재 운영되고 있는 온라인 게임에서 실력을 겨루는 형태의 경쟁적인 온라인 게임들에서 사용되어지고 있는 게임 핵이 게임에 미치는 영향을 제시한다. 그리고 게임 핵을 검출하기 위한 객체 인식 기술로 실시간 정보 획득이 가능한 YOLOv3 알고리즘을 사용하였다. 이는 속도가 빠른 객체인식 기술이며 이미지 속 물체의 외관 뿐만 아니라 전체적인 컨텍스트까지 학습을 진행한다. 그리고 나아가 게임 핵 검출을 위한 개발 및 운영적 측면에서 어떻게 지원돼야 하는 등의 내용을 제시한다.

• KSBB Journal
• /
• v.22 no.2
• /
• pp.84-90
• /
• 2007

Trehalose is non-reducing disaccharide which is found in bacteria, fungi, plants and insects. Trehalose has been determined by several analysis methods. To monitor the concentrations of trehalose in a process, enzymatic methods have more advantage over others, e.g. more specific. In this work, trehalase was immobilized on VA-epoxy polymer and applied to FIA systems. The behaviours of these FIA systems were characterized and used to monitor the trehalose concentrations. Use of optical detection technique was chosen for trehalose-FIA system. On-line monitoring data and off-line data were measured by HPLC.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.12
• /
• pp.1880-1889
• /
• 2022

The online portal platform provides online news with online comments, but the anonymity of comments causes incivility, and online comments are considered social problems. While there are many foreign language-based incivility detection studies, in-depth research is not being conducted in Korea since there has not been implemented Korean language dataset which is labeled detailed criteria of incivility. In this study, the incivility notation of comments was conducted in a total of 13 items, uncivil words were summarized. Furthermore, Attention algorithm was applied to each comment and summary to extract embedding vectors. 2-d CNN followed at the end to detect incivility in given data. As a result, we showed that the proposed algorithm is useful for anti-citizen detection such as name-calling and offensive tones. This study is expected to contribute to the formation of a healthy online comment culture by detecting uncivil comments which hinder democratic discourse.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.24 no.2
• /
• pp.29-34
• /
• 2024

Since the outbreak of COVID-19, there has been a surge in sports conducted through online platforms due to the increase in remote and non-contact activities. Billiards, being suitable for online platforms, has received much attention, leading to research on detecting the position and trajectory of balls. In this paper, we propose a new method utilizing machine vision to detect the position of the balls accurately. The proposed method detects the outline of the ball using the Canny edge detection and then employs simple correlation to determine its position. This correlation-based approach offers satisfactory system performance and is easily applicable in practical systems due to its low implementation complexity and robustness to noise.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.39A no.1
• /
• pp.1-11
• /
• 2014

In this paper we propose a system for vehicle detection and tracking which has the ability to learn on-line appearance changes of vehicles being tracked. The proposed system uses feature-based tracking method to estimate rapidly and robustly the motion of the newly detected vehicles between consecutive frames. Simultaneously, the system trains an online vehicle detector for the tracked vehicles. If the tracker fails, it is re-initialized by the detection of the online vehicle detector. An improved vehicle appearance model update rule is presented to increase a tracking performance and a speed of the proposed system. Performance of the proposed system is evaluated on the dataset acquired on various driving environment. In particular, the experimental results proved that the performance of the vehicle tracking is significantly improved under bad conditions such as entering a tunnel and passing rain.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2019.05a
• /
• pp.647-648
• /
• 2019

눈의 개폐 검출은 졸음 운전 감지, 온라인 강의에서 수강자 모니터링, 인간 컴퓨터 상호작용(HCI) 등에 적용될 수 있다. 최근에는 모바일 장치에 적용 가능한 효율적인 기법들이 연구되고 있으며 객체 검출 기법과 결합하여 좋은 결과를 보여주고 있다. 본 논문에서는 임베디드 환경에서 적용할 수 있는 가볍고 빠른 딥러닝 방법을 살펴보고, 눈 개폐 검출에 적용하는 방법에 대해 검토한다.

• Proceedings of the Korean Institute of Communication Sciences Conference
• /
• 1991.10a
• /
• pp.133-136
• /
• 1991

한국통신 연구개발단에서 개발한 국제망관리시스템(INMS)에서 필요로하는 망관리 데이터는 각 국제교환기로부터 발생즉시 온라인으로 수집되어 분석 처리되어야한다. 이들 망관리 데이터는 양이 많을뿐아니라 여러곳에 분산되어져 있는 교환기로부터 실시간으로 신뢰성있는 데이터를 온라인으로 수집하여야한다. 본 논문에서는 INMS의 온라인 수집시스템을 소개하고, 비동기식 데이터 통신에서의 전송에러검출 기법을 적용한 온라인 프로토콜에 의한 온라인 데이타 수집기법을 소개하였다.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2000.11a
• /
• pp.267-275
• /
• 2000

최근 전자상거래가 활성화되면서, 거래 인증서와 같은 온라인 증명서가 광범위하게 사용되고 있다. 그리고 증명서의 위/변조기술이 발전함에 따라서 온라인 거래에 사용되는 증명서의 인증과 위조/변조를 방지하는 기술이 필요하게 되었다. 본 연구는 증명서의 인증에 필요한 기술로서, 메시지 인증함수가 가지는 성질을 포함하고 있다. 본 연구에서 개발한 알고리즘은 증명서에 포함된 텍스트문서가 위조/변조되었을 경우 그 변동 상황을 알아내며, 부정적으로 위조/변조된 부분을 검출하며, 변동상황 검출과 함께 원 증명서의 문서를 복원할 수 있는 기술이다. 만일 이 증명서에 대하여 변동이 진행된 흔적이 발견될 경우, 증명서를 인증하지 않으며, 삽입한 텍스트 데이터를 추출하고 변동을 확인하는 것과 함께 필요한 정보를 복원한다. 본 논문의 시험결과에 근거하면 256$\times$256BMP file Format 이미지에 3만2천자 정도의 텍스트문서를 삽입할 수 있었다.