• Journal of rehabilitation welfare engineering & assistive technology
• /
• v.9 no.2
• /
• pp.153-160
• /
• 2015

With the development of recent IT fusion technology, IT fusion technology of medical equipment has been dramatically development. The need to most basic preferential implementation of emergency is the respiration of the patient, it is necessary to first aid is maintained in emergency patients airway simultaneously. However, to the endotracheal intubation is a procedure to secure the airway, it requires experience and first aid, Inc. good career, very that may lead to sequelae in patients who otherwise have failed to procedures It is a sensitive and important procedure. For these reasons, the success rate of current endotracheal intubation technique is not at a high level and about 50 percent. In an attempt to complement these problems, in this paper, in the process of endotracheal intubation, intubated by inserting an endoscopic camera to Into Activation tube, the streaming is a real-time monitoring and wireless video transmission method using, there is a purpose of enabling the monitoring in smart devices increase the success rate of endotracheal intubation of first aid purchases.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.46 no.5
• /
• pp.44-56
• /
• 2009

Multimedia streaming service is susceptible to loss and delay of data as it requires high bandwidth and real time processing. Therefore QoS cannot be guaranteed due to data loss caused by heavy network traffic and error of wireless channel. To solve these problems, studies about algorithms which improve the quality of multimedia by serving differently according to the priority of packets in multimedia stream. Two algorithms are proposed in this paper. The first algorithm proposed is WMS-1(Wireless Multimedia Scheduling-1) algorithm which acts like IWFQ when any wireless loss is occurred but assigns channels first in case of urgent situation like when the running time of multimedia runs out. The second algorithm proposed is WMS-2(Wireless Multimedia Scheduling-2) algerithm that assigns priority to multimedia flow and schedules flow that has higher priority according to type of frame first. The comparison with other existing scheduling algorithms shows that multimedia service quality of the proposed algorithm is improved and the larger the queue size of base station is, the better total quality of service and fairness were gained.

• Journal of the Korea Society of Computer and Information
• /
• v.25 no.2
• /
• pp.11-19
• /
• 2020

Modern GPU can execute general purpose computation on the graphic processing unit, and provide high performance by exploiting many core on GPU. To run AES algorithm efficiently, parallel computational resources are required. However, computational resource of CPU architecture are not enough to cryptographic algorithm such as AES whereas GPU architecture has mass parallel computation resources. Therefore, this paper reduce the time to execute AES by employing parallel computational resource on GPGPU. Unfortunately, AES cannot utilize computational resource on GPGPU since it isn't suitable to GPGPU architecture. In this paper, IPC based dynamic SM management technique are proposed to efficiently execute AES on GPGPU. IPC based dynamic SM management can increase and decrease the number of active SMs by using IPC in run-time. According to simulation results, proposed technique improve the performance by increasing resource utilization compared to baseline GPGPU architecture. The results show that AES improve the performance by 41.2% on average.

• Journal of Satellite, Information and Communications
• /
• v.1 no.1
• /
• pp.12-19
• /
• 2006

In this paper, we propose the bandwidth borrowing scheme which improves the performance of the cal admission control of the integrated GEO satellite networks. In general, target transmission rates of communications and streaming services are fixed, but data services do not have the target transmission rates. Therefore, we can control the transmission rates for data services flexibly according to the system loading situation. When the available bandwidth of the system is insufficient, the bandwidth borrowing scheme gives the bandwidth to request real time services by the transmission rates control of data services through packet scheduler. We make the queueing model for our system model and demonstrate the results through simulations. The simulation results show that there is a 8.7-35.2 dB gain at the total blocking probability according to the use of bandwidth borrowing scheme.

• Journal of KIISE:Computer Systems and Theory
• /
• v.31 no.11
• /
• pp.658-672
• /
• 2004

Multimedia applications are required to process the huge amount of data at high speed in real time. The memory reference instructions such as loads and stores are the main factor which limits the high speed execution of processor. To enhance the memory reference speed, cache prefetch schemes are used so as to reduce the cache miss ratio and the total execution time by previously fetching data into cache that is expected to be referenced in the future. In this study, we present an advanced data cache prefetching scheme that improves the conventional RPT (reference prediction table) based scheme. We considers the cache line size in calculation of the address stride referenced by the same instruction, and enhances the prefetching algorithm so that the effect of prefetching could be maintained even if an irregular address stride is inserted into the series of uniform strides. According to experiment results on multimedia benchmark programs, the cache miss ratio has been improved 29% in average compared to the conventional RPT scheme while the bus usage has increased relatively small amount (0.03%).

• The Journal of Korean Institute of Next Generation Computing
• /
• v.15 no.6
• /
• pp.7-14
• /
• 2019

The automatic monitoring and detection of crowd behavior in the surveillance videos has obtained significant attention in the field of computer vision due to its vast applications such as security, safety and protection of assets etc. Also, the field of crowd analysis is growing upwards in the research community. For this purpose, it is very necessary to detect and analyze the crowd behavior. In this paper, we proposed a deep learning-based method which detects abnormal activities in surveillance cameras installed in a smart city. A fine-tuned VGG-16 model is trained on publicly available benchmark crowd dataset and is tested on real-time streaming. The CCTV camera captures the video stream, when abnormal activity is detected, an alert is generated and is sent to the nearest police station to take immediate action before further loss. We experimentally have proven that the proposed method outperforms over the existing state-of-the-art techniques.

• The Journal of the Korea Contents Association
• /
• v.21 no.12
• /
• pp.842-854
• /
• 2021

Performing industries in Korea and abroad have been attempting a wide range of artistic experiments utilizing online platforms ever since the Covid-19 pandemic. Accordingly, this study will shed light on the functional characteristics of Zoom, which was used as a creative tool for theater performances. At first, after examining theater performances presented in Korea and abroad using Zoom and their characteristics, the production stage of the Zoom play will be analyzed by dividing it into following stages; a research-based pre-production stage, a scene workshop stage that composes each scene based on the script, a recording stage filming each scene on Zoom, and Streaming stage for presenting the show. Furthermore, the actor's approaches to acting in this production process was presumed to be separation of gaze, re-recognition of space, utilization of expressive gestures, and reaction as an active action. As a result, it proposes the possibility of ongoing development of theatrical work using Zoom and the evolutionary aspect of actor's acting approaches in accordance with theatrical work via Zoom.

• The Journal of Society for e-Business Studies
• /
• v.23 no.4
• /
• pp.127-136
• /
• 2018

With the increased value in digital contents, the influence of social media has increased exponentially over the past years. Focused around those in their teens and twenties, social media has spread its influence to people regardless of one's age or gender. This increased attention is reflected by the public's interest in pets, especially those dealt with in the personal media sector. This paper will focus on the two most popular Korean cat youtube channels called "CreamHeroes" and "SuriNoel." By analyzing the top thirty most viewed videos on each channel, real time streaming, goods based on the cats starring on the channel, and comments left by the channels' subscribers, it can be concluded that people watching videos categorized as "Viewnimal" derive surrogate pleasure from their viewings. The following creates the potential for increased conversation regarding the subject of shelter animals and animal abuse.

• Smart Media Journal
• /
• v.9 no.4
• /
• pp.9-16
• /
• 2020

Recently, various studies are being conducted to integrate Image Segmentation into smart factory industries and autonomous driving fields. In particular, Image Segmentation systems using deep learning algorithms have been researched and developed enough to learn from large volumes of data with higher accuracy. In order to use image segmentation in the autonomous driving sector, sufficient amount of learning is needed with large amounts of data and the streaming environment that processes drivers' data in real time is important for the accuracy of safe operation through highways and child protection zones. Therefore, we proposed a novel DFCN algorithm that enhanced existing FCN algorithms that could be applied to various road environments, demonstrated that the performance of the DFCN algorithm improved 1.3% in terms of "loss" value compared to the previous FCN algorithms. Moreover, the proposed DFCN algorithm was applied to the existing U-Net algorithm to maintain the information of frequencies in the image to produce better results, resulting in a better performance than the classical FCN algorithm in the autonomous environment.

• Journal of Industrial Convergence
• /
• v.19 no.6
• /
• pp.59-66
• /
• 2021

Globally, the prolonged pandemic of COVID-19 (COVID-19) has had a great impact on all industries. In particular, in the field of education, online classes (non-face-to-face) had some negative perceptions of online classes, such as lack of preparation for learning and student dissatisfaction with the class. According to the current situation survey in 2020, non-face-to-face classes accounted for about 56% of the class, and streaming real-time classes and video content-based classes accounted for most of the class. This study empirically analyzes the problems to be solved by online classes through the 2020-2021 survey (software application practical class university students), and explains the detailed program and development plan (implementation result). This study intends to contribute to the development of online learning development of each educational institution after the end of the corona crisis.