• Journal of Multimedia Information System
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• v.5 no.2
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• pp.83-86
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• 2018

Owing to high speed internet technologies, video conferencing systems are exploited in our home as well as work places using a laptop or a webcam. Although eye contact in the video conferencing system is significant, most systems do not support good eye contact due to improper locations of cameras. Several ideas have been proposed to solve the eye contact problem; however, some of them require complicated hardware configurations and expensive customized hardwares. In this paper, we propose a simple eye gaze correction method using the three-dimensional (3D) affine transformation. We also apply an image in-painting method to fill empty holes that are caused by round-off errors from the coordinate transformation. From experiments, we obtained visually improved results.

• Journal of Korea Multimedia Society
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• v.7 no.6
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• pp.806-813
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• 2004

Internet users are increasingly depending on acquiring and spreading a variety of information from home pages and they are also making use of education systems based on the internet. This study suggests an efficient method to make learners study Chinese Letters with ease and fun through the internet. The detailed methods of attaining Chinese letters Using Edutainment system are divided into 5 elements as follows. Utilizing the transition process of the letters, using games, applying animation and through switching over from Chinese letters to Korean letters and vice versa including making use of the sound of letters and their meanings.

• International Journal of Contents
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• v.1 no.2
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• pp.18-21
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• 2005

The following suggested algorithm is completed care report for the family medical history. Rn=$U\;Pnj+U\;Dn^i$ : (j=1,2,...,j), (i=1,2,...,i), (n=1,2,...,n) The Rn(completed care report) integrates comprehensive patients reports ranging from patient $P^2\;to\;P^j$ including $P^1$ (oneself) with the doctors' care reports up to the care No. no by i number of doctors ($D^1$ =doctor in charge, $D^{2,3...i}$=doctors on corporation program.) This approach, since a participation in a family membership effectuates all of family members, can minimize the membership fees, thus enabling inter-family health care on a home doctor basis.

• Journal of Korea Multimedia Society
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• v.24 no.12
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• pp.1653-1662
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• 2021

In this paper, we propose a small waste appliance collection system that can be used for efficient waste appliance collection, and implement an unmanned automatic small waste appliance collector system. First, we collected cases related to the collection of waste home appliances, compared and analyzed methods, and arranged the characteristics. We analyzed at the requirements for the collection and management system of waste appliances by dividing it into the aspect of the discharger and the recycling business company. The collection system consists of a client-server structure, which is a collector system and a collection management server. The unmanned automatic collector system is divided into a control unit and a machine/mechanical unit. We identified the functions that the collector system must perform and the hardware required to perform these functions. Based on this, the collector system was implemented as an embedded system. The hardware and software used in the implementation are described and the implementation results are described. The collection system developed in this paper will contribute to the development of urban mining industry by enabling the efficient collection of waste appliances.

• Journal of Korea Multimedia Society
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• v.22 no.4
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• pp.515-526
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• 2019

DOOH(Digital Out Of Home) advertising targets for reaching consumers through outdoor digital display medias. Traditionally, scheduling of advertisement contents over DOOH medias is usually done by operator's strategy, but an efficient ad scheduling strategy is not easy to find under various advertising contexts. In this paper, we present a context-aware factorization machine-based recommendation model for the scheduling under various advertising contexts, and provide analysis for understanding of the contexts' effects on advertising based on the recommendation model. Through simulation results on the dataset adapted from a real dataset of RecSys challenge 2015, it is shown that the proposed model and analysis based on the model will be effective for better scheduling of ad contents under advertising contexts over DOOH networks.

• Journal of Korea Multimedia Society
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• v.24 no.5
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• pp.701-708
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• 2021

As one of the most widely used technology in the world right now, Face recognition has already received widespread attention by all the researcher and institutes. It has been used in many fields such as safety protection, surveillance system, crime control and even in our ordinary life such as home security and so on. This technology with today's technology has advantages such as high connectivity and real time transformation. But we still need to improve its recognition rate, reaction time and also reduce impact of different environmental status to the whole system. So in this paper we proposed a face recognition system model with improved CNN which combining the characteristics of flat network and residual network, integrated learning, simplify network structure and enhance portability and also improve the recognition accuracy. We also used AR and ORL database to do the experiment and result shows higher recognition rate, efficiency and robustness for different image conditions.

• Journal of Multimedia Information System
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• v.9 no.3
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• pp.227-232
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• 2022

Disasters are now becoming commonplace and especially the vulnerable group such as the disabled, the elderly, children and foreigners are in a state of overlapping disasters. In this situation, ATSC 3.0-based UHDTV disaster information service for the visually and hearing impaired has been developing. This study focuses on the demand data collected through in-depth interview with the impaired. The demand analysis data is very important to development process of technology. The results of the interview show that it is essential to link the UHDTV disaster signals with home-network, IoT, wearable devices, and various assistive devices for the impaired (hearing aid, smart light bulbs, warning light, etc.). In outdoor space, UHDTV disaster information must be connected to public display media, digital signage, kiosk, screens in bus or taxi. If communication aids for the visually and hearing impaired are equipped with a function that can transmit and receive disaster information, it will help to minimize disaster damage.

• Journal of Multimedia Information System
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• v.8 no.4
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• pp.295-300
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• 2021

Recent advances in Internet-of-Things and wearable computing have established computationally sufficient infrastructure to remove the barriers of physical locations. The recent COVID-19 pandemic has accelerated the use of remote collaboration, work-from-home, teleconferencing, online education, digital twin, and metaverse enriched with various configurations of augmented reality, virtual reality, mixed reality, and extended reality. Beyond specialized niche wearable applications in the medical and entertainment domains, we aim to identify the underlying characteristics of smartglass-enabled killer applications for everyday use. In this paper, we analyze intermediary roles in remote collaboration consisting of authoritative supervisors, synergetic collaborators, and speculative explorers. We also propose technical components for smartglass-assisted interactive remote collaboration composed of personal tracking, teleconference, and interaction components. More specifically, the application tasks of each intermediary role and objectives of three functional components are defined and elaborated.

• Journal of Korea Multimedia Society
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• v.24 no.12
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• pp.1606-1613
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• 2021

Recently various attempts to control hardware through integration of sensors and artificial intelligence have been made. This paper proposes a smart hazardous sound detection at home. Previous sound recognition methods have problems due to the processing of background sounds and the low recognition accuracy of high-frequency sounds. To get around these problems, a new MFCC(Mel-Frequency Cepstral Coefficient) algorithm using Wiener filter, modified filterbank is proposed. Experiments for comparing the performance of the proposed method and the original MFCC were conducted. For the classification of feature vectors extracted using the proposed MFCC, DNN(Deep Neural Network) was used. Experimental results showed the superiority of the modified MFCC in comparison to the conventional MFCC in terms of 1% higher training accuracy and 6.6% higher recognition rate.

• Journal of The Korean Association of Information Education
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• v.9 no.2
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• pp.211-219
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• 2005

Several problems occur in reading education in a elementary school. They are the lack of considering the difference of student's capability and diagnosing their reading ability, the review activity focusing on only text and the discontinuation between school and home. Our system is designed and implemented to support leveled reading education using multimedia technology. We can diagnose the student's reading ability exactly and promptly and introduce suitable books considering their ability, and work the proper review activities with this system. It can help the students to interest their reading.