• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.11a
• /
• pp.376-377
• /
• 2023

스마트홈은 기술 시스템, 자동화 프로세스, 원격 제어 기기 등을 아파트나 주택에서 사용하는 것을 말한다. 주요 목적은 가정에서 삶의 질과 편의성을 높이는 것이다. 현재의 스마트홈은 사용자의 원격 제어 방식을 사용하고 있다. 이러한 방식은 고정된 시간에만 스마트홈이 작동하도록 한다는 문제가 있었다. 연관분석과 순차분석을 통해 AI가 상황과 사용자의 취향을 학습한다면, 스스로 최적화된 패턴을 제공할 수 있을 것이다.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.27 no.4B
• /
• pp.353-364
• /
• 2002

In this paper, a new onto-digital stereo object-tracking system using hierarchical digital algorithms and optical BPEJTC is proposed. This proposed system can adaptively track a moving target by controlling the convergence of stereo camera. firstly, the target is detected through the background matching of the sequential input images by using optical BPEJTC and then the target area is segmented by using the target projection mask which is composed by hierarchical digital processing of image subtraction, logical operation and morphological filtering. Secondly, the location's coordinate of the moving target object for each of the sequential input frames can be extracted through carrying out optical BPEJTC between the reference image of the target region mask and the stereo input image. Finally, the convergence and pan/tilt of stereo camera can be sequentially controlled by using these target coordinate values and the target can be kept in tracking. Also, a possibility of real-time implementation of the adaptive stereo object tracking system is suggested through optically implementing the proposed target extraction and convergence control algorithms.

• Journal of the Institute of Convergence Signal Processing
• /
• v.16 no.1
• /
• pp.1-8
• /
• 2015

In many image processing tasks, connected component labeling (CCL) is performed to extract regions of interest. CCL was usually done in a sequential fashion when image resolution was relatively low and there are small number of input channels. As image resolution gets higher up to HD or Full HD and as the number of input channels increases, sequential CCL is too time-consuming to be used in real time applications. To cope with this situation, parallel CCL framework was introduced where multiple cores are utilized simultaneously. Several parallel CCL methods have been proposed in the literature. Among them are NSZ label equivalence (NSZ-LE) method[1], modified 8 directional label selection (M8DLS) method[2], and HYBRID1 method[3]. Soh [3] showed that HYBRID1 outperforms NSZ-LE and M8DLS, and argued that HYBRID1 is by far the best. In this paper we propose an improved hybrid parallel CCL algorithm termed as HYBRID2 that hybridizes M8DLS with label backtracking (LB) and show that it runs around 20% faster than HYBRID1 for various kinds of images.

• Journal of the Institute of Convergence Signal Processing
• /
• v.15 no.3
• /
• pp.76-79
• /
• 2014

Face recognition is very challenging because of the unexpected changes of pose, expression, and illumination. Facial detection in the mobile environments has additional difficulty since the computational resources are very limited. This paper discusses face detection based on frequency domain matched filtering in the mobile environments. Face detection is performed by a linear or phase-only matched filter and sequential verification stages. The candidate window regions are selected by a number of peaks of the matched filtering outputs. The sequential stages comprise a skin-color test and an edge mask filtering tests, which aim to remove false alarms among selected candidate windows. The algorithms are built with JAVA language on the mobile device operated by the Android platform. The simulation and experimental results show that real-time face detection can be performed successfully in the mobile environments.

• Journal of the Korea Convergence Society
• /
• v.11 no.2
• /
• pp.297-307
• /
• 2020

This study focused on the problem behavior after drinking, and examined the effects of temperament of adult drinker on offensive behavior and analyzed the sequential mediating effects of aggression and drinking behavior. To this purpose, 299 subjects were assessed through the Temperament and Character Inventory(TCI)-for adults, Korean Aggression Questionnaire, and Korean Alcohol Use Disorder diagnosis. As the results, 'Novelty seeking' had the highest level of explanation for aggression. In the relationship between 'Novelty seeking' and offensive behavior, mediating effect of aggression and drinking behavior were significant. In its course, sequential mediating effect of both was shown as complete mediation. This result implies that the aggression and drinking behavior were the factors of connecting 'Novelty seeking' and offensive behavior, and the characteristic of 'Novelty seeking' does not have direct influence on offensive behavior but only through aggression and offensive behavior that it has such effect.

• Journal of the Korea Convergence Society
• /
• v.11 no.7
• /
• pp.89-95
• /
• 2020

In the digital media environment, the communication of government agencies has changed in various forms and the expertise has been strengthened. However, there are still negative views on the performance of public communication by government agencies. Criticism by prejudice, rather than rational evaluation, can hinder the development of public communication. Therefore, this study intends to identify whether there is a confirmatory bias in evaluating the performance of public communication by government and to suggest alternatives. To this end, this study confirmed that there is a possibility of confirmatory bias in evaluating the performance of public advertising/PR by comparing the simultaneous and sequential environments. The results of this study are expected to contribute to sharing and expanding public values by presenting rational criticism and evaluation methods for public communication.

• Journal of the Institute of Convergence Signal Processing
• /
• v.9 no.3
• /
• pp.188-194
• /
• 2008

We propose the new method for the traffic signs recognition that is one of the DAS(Driving assistance system) in the intelligent vehicle. Our approach estimates a varied degree by using a geometric method from the varied traffic signs in noise, rotation and size, and extracts the recognition symbol from the compensated traffic sign for a recognition by using the sequential color-based clustering. This proposed clustering method classify the traffic sign into the attention, regulation, indication, and auxiliary class. Also, The circular tracing method is used for the final traffic sign recognition. To evaluate the effectiveness of the proposed method, varied traffic signs were built. As a result, The proposed method show that the 95 % recognition rate for a single variation, and 93 % recognition rate for a mixed variation.

• Journal of Convergence for Information Technology
• /
• v.11 no.8
• /
• pp.100-108
• /
• 2021

The purpose of this study is to examine the sequential mediating effects of social withdrawal and depression in the relationship between achievement motivation and career decision of multicultural adolescents. To this end, we analyzed adolescents data from the 8th year survey(2018) of the 'Multicultural Adolescent Panel Study(MAPS)' provided by the National Youth Policy Institute(NYPI). As a result of the study, first, achievement motivation was found to have a significant and positive effect on career decision. Second, it was found that social withdrawal did not mediate the relationship between achievement motivation and career decision. Third, it was found that depression mediates the relationship between achievement motivation and career decision. Fourth, it was found that social withdrawal and depression sequentially mediate the relationship between achievement motivation and career decision. Based on the results of this study, we searched for social support measures to improve the career decision of multicultural adolescents and support their career paths, and suggested implications and limitations of the results of this study and suggestions for follow-up studies.

• Journal of applied mathematics & informatics
• /
• v.20 no.1_2
• /
• pp.225-238
• /
• 2006

Generalized order statistics (gos) introduced by Kamps [8] as a unified approach to several models of order random variables (rv's), e.g., (ordinary) order statistics (oos), records, sequential order statistics (sos). In a wide subclass of gos, included oos and sos, the possible limit distribution functions (df's) of the maximum gos are obtained in Nasri-Roudsari [10]. In this paper, for this subclass, as the df of the suitably normalized extreme gos converges on an interval [c, d] to one of possible limit df's of the extreme gos, the continuation of this (weak) convergence on the whole real line to this limit df is proved.

• Journal of the Korean Society of Industry Convergence
• /
• v.27 no.4_2
• /
• pp.925-933
• /
• 2024

Identification of potential technology convergence opportunities is crucial to drive innovation and growth in modern enterprises. In this study, we proposed a framework to explore technological convergence opportunities based on CPC code sequences from patents by utilizing the BERT model. We relied on the BERT architecture to train a new model using about 1.3 million patents registered at the Korean Intellectual Property Office, and achieved an accuracy of approximately 73% based on HitRate@10 metric. A case study using patents related to wearable technologies was conducted to demonstrate practicability and effectiveness of the proposed framework. The key contributions of this research include: (1) enabling in-depth analysis that takes into account the complex interactions between CPC codes and contextual variability; (2) enabling the exploration of diverse technology convergence scenarios beyond simple sequential patterns. This study is one of the first studies to apply the BERT model for exploring technology convergence opportunities, and is expected to contribute to the establishment of technology innovation and R&D strategies by providing a more accurate and practical tool for enhancing the speed and efficiency of technology opportunity-related decision-making processes.