• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.18 no.6
• /
• pp.99-105
• /
• 2018

This paper proposes multiple access method for smart doorlock system using VLC(Visible Light Communication) with color grid modulation method. The proposed method is to connect multiple visible light signals using color grid modulation method in order to recognize and authenticate multiple users accessing doorlock. In order to enable visible light multiple access with existing infrastructure, the symbol energy interval of signal should be maximized. Thus, performance of system in VLC channel is measured by modulating symbols based on the proposed method. We confirm the actual channel test results of the modulated signal to implement doorlock system that recognizes the number of multiple access users.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.26 no.6
• /
• pp.175-181
• /
• 2022

The condition of infrastructure deteriorates as the service life increases. Since most infrastructure in South Korea were intensively built during the period of economic growth, the proportion of outdated infrastructure is rapidly increasing now. Aging of such infrastructure can lead to safety accidents and even human casualties. To prevent these issues in advance, periodic and accurate inspection is essential. For this reason, the need for research to detect various types of damage using computer vision and deep learning is increasingly required in the field of remotely controlled or autonomous inspection. To this end, this study proposed a neural network structure that can detect concrete damage by classifying it into three types. In particular, the proposed neural network can detect them more accurately through a hierarchical learning technique. This neural network was trained with 2,026 damage images and tested with 508 damage images. As a result, we completed an algorithm with average mean intersection over union of 67.04% and F1 score of 52.65%. It is expected that the proposed damage detection algorithm could apply to accurate facility condition diagnosis in the near future.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.37 no.1C
• /
• pp.54-62
• /
• 2012

A Wi-Fi mesh network providing multi-hop wireless connections based on IEEE 802.11 PHY/MAC technology has recently received a significant attention as a network infrastructure that interconnects RFID systems and wireless sensor networks (WSNs). However, the current IEEE 802.11 contention-based MAC protocol cannot fully utilize the network capacity due to eithor frame collisions or unused network resources. In this paper, we propose a novel multi-channel scheduling MAC (MCS-MAC) protocol for Wi-Fi mesh networks. Under the secondary interference model of Wi-Fi mesh networks, the MCS-MAC protocol can maximize the network throughput via activation of collision-free links that has a maximal link weight. Through the simulations, we show that the throughput of the MCS-MAC protocol is at least three times higher than that of existing MAC protocols in Wi-Fi mesh networks.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.33 no.12B
• /
• pp.1058-1065
• /
• 2008

In the Internet, as computer resource is developed, multimedia data request being increase more and more. It is effective way that process both high capacity-data and real-time data. Overlay Multicast is an effective method for efficient utilization of system resources and network bandwidth without using hardware customization. Overlay Multicast is an effective method for multimedia data service to multi-users. Multicast tree reconstruction is required when a non-leaf host leaves or fails. In this paper, relay-frame interval is selected as revealed network-state with jitter. In our proposal, multi-user service control algorithm gives a delay effect in multimedia request time. The simulation results show that our proposal takes shorter period of time than the other algorithms to reconstruct a similar tree and that it is a more effective way to deal with a lot of nodes that have lost their multi-user nodes.

• The KIPS Transactions:PartC
• /
• v.15C no.1
• /
• pp.45-50
• /
• 2008

Mobile ad hoc networks (MANETs) allow mobile nodes to communicate among themselves via wireless multiple hops without the help of the wired infrastructure. Therefore, in the MANET, a route setup mechanism that makes nodes not within each other's transmission range communicate is required and, for this, the Ad-hoc On-demand Distance Vector (AODV) was proposed as one of the reactive routing protocols well suited for the characteristics of the MANET. AODV uses the hop count as the routing metric and, as a result, a node selects the farthest neighbor node as its next hop on a route, which results in a problem of deteriorating the overall network throughput because of selecting a relatively low data rate route. In this paper, we propose an efficient reactive routing protocol based on the multi-rate aware MAC. Through the simulations, we analyze the performance of our proposed mechanism and, from the simulation results, we show that our proposed mechanism outperforms the existing mechanism.

• Journal of Korean Tunnelling and Underground Space Association
• /
• v.26 no.1
• /
• pp.39-58
• /
• 2024

Tunnel Boring Machines (TBM) use multiple disc cutters to excavate tunnels through rock. These cutters wear out due to continuous contact and friction with the rock, leading to decreased cutting efficiency and reduced excavation performance. The rock's abrasivity significantly affects cutter wear, with highly abrasive rocks causing more wear and reducing the cutter's lifespan. The Cerchar Abrasivity Index (CAI) is a key indicator for assessing rock abrasivity, essential for predicting disc cutter life and performance. This study aims to develop a new method for effectively estimating CAI using rock strength, petrological characteristics, linear regression, and machine learning. A database including CAI, uniaxial compressive strength, Brazilian tensile strength, and equivalent quartz content was created, with additional derived variables. Variables for multiple linear regression were selected considering statistical significance and multicollinearity, while machine learning model inputs were chosen based on variable importance. Among the machine learning prediction models, the Gradient Boosting model showed the highest predictive performance. Finally, the predictive performance of the multiple linear regression analysis and the Gradient Boosting model derived in this study were compared with the CAI prediction models of previous studies to validate the results of this research.

• The Journal of Information Technology
• /
• v.6 no.4
• /
• pp.1-9
• /
• 2003

This paper is about power line communication(PLC) over the low power voltage grid. The main advantage with power line communication is the use of an existing infrastructure. The PLC channel can be modeled as having multi-path propagation with frequency-selective fading, typical power lines exhibit signal attenuation increasing with length and frequency. OFDM(Orthogonal Frequency Division Multiplexing) is a modulation technique where multiple low data rate carriers are combined by a transmitter to form a composite high data rate transmission. The performance in consideration of the multi-path(echoes) powerline scheme is analyzed and verified by computer simulation.

• Proceedings of the Korean Information Science Society Conference
• /
• 2006.10d
• /
• pp.59-63
• /
• 2006

이동 애드 혹 네트워크(Mobile Ad Hoc Network; MANET)는 인프라 없이 빠른 구성이 가능한 네트워크이다. 하지만, 긴급 상황과 같은 특수한 경우가 아닌 일상생활에서 사용 가능한 네트워크로 발전하기 위해서는 MANET과 인터넷의 연결이 꼭 필요하다. 인터넷 노드와 MANET 노드 간의 통신을 가능하게 만드는 것은 인터넷과 MANET을 중계하는 인터넷 게이트웨이를 통해서 이다. 고장 감내(fault tolerance)를 지원하고 대역폭을 늘리기 위해 다중 인터넷 게이트웨이들을 MANET에 배치하여 사용할 수 있다. 다중 게이트웨이들 간의 부하를 잘 분배한다면 네트워크 성능 향상을 얻을 수 있으므로, MANET 내에 여러 개의 인터넷 게이트웨이가 존재할 경우 이들 간의 부하 균등화는 중요한 이슈이다. 본 연구에서는 노드들의 이동이 빈번하고 인터넷 게이트웨이들이 고정되어 있는 MANET 환경에서의 부하 균등화 인터넷 게이트웨이 발견 기법들을 제안한다. 기존에 제안된 부하 균등화 기법들로 Shortest Path (SP), Minimum Load Index(MLI), Running Variance Metric (RVM) 기법들을 소개하고 각 기법들에 대한 시뮬레이션 결과를 제공한다. 시뮬레이션을 통해 이들 기법을 분석하여 문제점을 찾아내고 이를 수정 및 보완하여 새로운 기법들을 제안하며, 새로운 기법들의 성능이 기존 기법들에 비하여 향상되었음을 보인다.

• Annual Conference on Human and Language Technology
• /
• 2006.10e
• /
• pp.81-88
• /
• 2006

컴퓨터를 활용한 지식과 정보의 고도 처리를 위해 온톨로지를 구축하고 활용하려는 요구가 강해지고 있다. 이런 요구에 부흥하여 온톨로지의 구축 방법에 대한 많은 연구가 이루어지고 있다 그러나 현재까지의 온톨로지 구축 이론과 온톨로지 개발 도구가 실제 구현 목적과 사례에 따라 제한적인 부분에서 개발되어 사용되고 있다. 그러므로 구축하고자 하는 분야의 온톨로지에 맞는 적절한 구축 프로세스와 도구가 필요하다. 분야 온톨로지(domain ontology)를 구축함에 있어 특정 분야의 전문가 또는 비전문가가 언어자원으로부터 지식을 개념화(conceptualization), 형식화(formalization)하여 온톨로지를 구축할 수 있도록 분야 관련 언어자원에 근거하여 온톨로지를 구축할 수 있는 온톨로지 구축 프로세스(OntoProcessl))를 제안한다. 그리고, 다수의 온톨로지 구축자가 동시에 같은 분야의 온톨로지를 구축할 경우, 개념화 과정에서 서로 다른 구축자가 동일한 개념을 중복 정의하거나, 형식화 과정에서 형식언어 이해 부족으로 인한 구축 능률 저하 문제가 발생할 수 있다. 이를 위해 메타 온톨로지(meta ontology)를 이용하여 다중 온톨로지를 구축할 때 발생하는 문제를 해결하는 다중 온톨로지 구축 프로세스를 제안한다. 현재 이 프로세스에 근거하여 온톨로지 구축 시스템(OntoCS2))을 개발하였고 국가 IT 온톨로지 인프라 기술 개발 프로젝트에서 IT분야 온톨로지의 개발에 활용되고 있다.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.38 no.6
• /
• pp.801-808
• /
• 2018

The learning of the linear regression model is stable on the assumption that the sample size is sufficiently larger than the number of explanatory variables and there is no serious multicollinearity between explanatory variables. In this study, we investigated the difficulty of model learning when the assumption was violated by analyzing a real heavy rain damage data and we proposed to use a principal component regression model or a ridge regression model after integrating data to overcome the difficulty. We evaluated the predictive performance of the proposed models by using the test data independent from the training data, and confirmed that the proposed methods showed better predictive performances than the linear regression model.