• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2004.07a
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• pp.178-178
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• 2004

• Journal of Multimedia Information System
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• v.5 no.1
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• pp.59-62
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• 2018

The delay between input action and visual interface feedback ("Latency") in a touchscreen inking task reduces the user's performance. When the latency is less than 2.38ms, the user cannot perceive the latency in dragging task. This value is difficult to achieve on recent touchscreens and general purpose computers. So, methods of predicting touch points to reduce perceptible latency has been proposed. In general, touch points prediction is not perfect. When using point prediction, feedback of the predicted points is displayed on the screen, after a while, erased when the actual points are displayed. When this task is implemented by software, it causes additional latency to work to erase predicted points feedback. It therefore propose a platform for rendering point prediction feedback without additional latency by the FPGA. This platform transmits input points and HDMI signals rendering feedback of input points to the FPGA. The FPGA draws the feedback of points predicted based on the input points on the HDMI and displays the screen. Since hardware rendering changes the HDMI signal every frame, it does not require erasing work and rendering can be done within an early time regardless of the amount of rendering, so we will reduce the latency.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.2
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• pp.339-346
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• 2013

As the need for security of SCADA systems is increasing, significant progress has been made in research on security of control protocol. However, very few security solutions were adapted to legacy SCADA system. The reasons for non-adoption are latency, cost and key management problem. We propose a low latency, economic security Solution to solve these issues. The proposed solution performs security function in data link layer and has minimum overhead to minimize latency. Furthermore, we try to solve the key management problem by providing systematic security keys and key distribution method.

• IEMEK Journal of Embedded Systems and Applications
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• v.15 no.6
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• pp.299-305
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• 2020

We have developed a scheduler that additionally consider network performance by extending the Kubernetes developed to manage lots of containers in cloud computing nodes. The network delay adapt characteristics of the compute nodes were learned during server operation and the learned results were utilized to develop placement algorithm by considering the existing measurement units, CPU, memory, and volume together, and it was confirmed that the low delay network service was provided through placement algorithm.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.4 no.4
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• pp.329-333
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• 2003

In this paper we analyze the performance of the low latency pre-registration handoff method of mobile IP by computer simulation. Packet losses and delays are evaluated in terms of system utilization. Foreign agents that participate in the handoff process can be modeled as queues representing input and output ports. Therefore, we propose an analytical model of pre-registration handoff by using open queueing network model. Simulation results are shown for validating analytical estimates.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10c
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• pp.685-687
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• 2004

본 논문에서는 이동 인터넷 환경에서 핸드오프 시, 링크 계층 (L2) 정보를 이용하며 새로 발견한 모바일 에이전트와의 등록 절차를 L2 핸드오프 완료 후 곧바로 수행하는 로우-레이턴시 (Low-Latency) 핸드오프 방안을 제안하고 이를 구현한다. 제안한 방법은 기존 연구들에 비해 추가적인 L2 핸드오프 지연 및 별도 네트워크 구성요소를 필요로 하지 않으며 보다 일반적이고 현실적인 네트워크 환경에서 적용될 수 있는 방안이다. 실험 결과는 제안된 방법이 인프라스트럭처 (infrastructure) 모드로 설정된 무선 랜에서 모바일 IP의 핸드오프 지연을 크게 개선하여 이동 인터넷 환경의 실시간 멀티미디어 서비스에 적합함을 보여준다.

• Electronics and Telecommunications Trends
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• v.34 no.6
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• pp.42-50
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• 2019

The fifth generation (5G) wireless technology is expected to be the trigger for the fourth industrial revolution. In particular, 5G ultra reliable low latency communication (URLLC) is expected to lead the wireless automation in vertical domains. In this paper, we analyze use cases, key metrics, and physical layer technologies for 5G URLLC standardized in $3^{rd}$ Generation Partnership Project Radio Access Network (3GPP RAN). Additionally, we discuss enabling RAN technologies towards beyond 5G to support high reliability and low latency.

• Electronics and Telecommunications Trends
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• v.34 no.3
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• pp.93-105
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• 2019

This study emphasizes the importance of the newly added Ultra-Reliable and Low-Latency Communications (URLLC) service as an important evolutionary step for 5G mobile communication, and proposes a remedial application. We analyze the requirements for the application of 5G mobile communication technology in high-precision vertical industries and applications, introduce the 5G URLLC design principles and standards of 3GPP, and summarize the current state of applied artificial intelligence technology in wireless communication. Additionally, we summarize the current state of research on ultra-reliable and low-latency machine learning-based wireless communication technology for application in ultra-high-precision vertical industries and applications. Furthermore, we discuss the technological direction of artificial intelligence technology for URLLC wireless communication.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.259-261
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• 2013

금융 IT와 같은 분야에서는 빅데이터의 큰 특징 중 하나인 Velocity의 개선이 가장 큰 문제이다. 이는 산업의 특성상 승자가 시장을 독식하는 구조로 0.1 초라도 빠른 시스템 속도를 확보하면 시장 경쟁력이 매우 크기 때문이다. 비단 금융 IT 뿐만 아니라 다른 산업들도 최근 보다 빠른 속도의 데이터 처리에 매우 민감하게 반응하는 환경으로 변화하고 있으므로 이에 대한 솔루션이 필요하며 본 연구에서는 폭증스트림의 고속처리를 위한 Low-Latency에 대한 다양한 실험과 환경 구축을 통해 빅데이터의 Velocity 문제를 해결할 수 있는 방안을 제시한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.7
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• pp.3309-3328
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• 2017

The application of Internet of Things (IoT) in the next generation cellular networks imposes a new characteristic on the data traffic, where a massive number of small packets need to be transmitted. In addition, some emerging IoT-based emergency services require a real-time data delivery within a few milliseconds, referring to as ultra-low latency transmission. However, current techniques cannot provide such a low latency in combination with a mice-flow traffic. In this paper, we propose a dynamic resource reservation schema based on an air-interface slicing scheme in the context of a massive number of sensors with emergency flows. The proposed schema can achieve an air-interface latency of a few milliseconds by means of allowing emergency flows to be transported through a dedicated radio connection with guaranteed network resources. In order to schedule the delay-sensitive flows immediately, dynamic resource updating, silence-probability based collision avoidance, and window-based re-transmission are introduced to combine with the frame-slotted Aloha protocol. To evaluate performance of the proposed schema, a probabilistic model is provided to derive the analytical results, which are compared with the numerical results from Monte-Carlo simulations.