• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2012년도 제45차 동계학술발표논문집 20권1호
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• pp.101-103
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• 2012

This paper gives an introduction to multicast in wireless mesh networks. The factors to be addressed when designing a multicast protocol for wireless mesh network are presented. Emphases are paid on selection of multicast routing metrics in wireless mesh networks. Also details of adapting these metrics to gain high-throughput multicast in wireless mesh network are described in the paper.

• Journal of Information Processing Systems
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• 제17권4호
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• pp.801-817
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• 2021

Network virtualization technologies have played efficient roles in deploying cloud, Internet of Things (IoT), big data, and 5G network. We have conducted a survey on network virtualization technologies, such as software-defined networking (SDN), network functions virtualization (NFV), and network virtualization overlay (NVO). For each of technologies, we have explained the comprehensive architectures, applied technologies, and the advantages and disadvantages. Furthermore, this paper has provided a summarized view of the latest research works on challenges and solutions of security issues mainly focused on DDoS attack and encryption.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권8호
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• pp.2801-2815
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• 2022

With the advent and realization of Software Defined Network (SDN) architecture, many organizations are now shifting towards this paradigm. SDN brings more control, higher scalability, and serene elasticity. The SDN spontaneously changes the network configuration according to the dynamic network requirements inside the constrained environments. Therefore, a monitoring system that can monitor the physical and virtual entities is needed to operate this type of network technology with high efficiency and proficiency. In this manuscript, we propose a real-time monitoring system for data collection and visualization that includes the Prometheus, node exporter, and Grafana. A node exporter is configured on the physical devices to collect the physical and virtual entities resources utilization logs. A real-time Prometheus database is configured to collect and store the data from all the exporters. Furthermore, the Grafana is affixed with Prometheus to visualize the current network status and device provisioning. A monitoring system is deployed on the physical infrastructure of the KOREN topology. Data collected by the monitoring system is further pre-processed and restructured into a dataset. A monitoring system is further enhanced by including machine learning techniques applied on the formatted datasets to identify the elephant flows. Additionally, a Random Forest is trained on our generated labeled datasets, and the classification models' performance are verified using accuracy metrics.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2016년도 제53차 동계학술대회논문집 24권1호
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• pp.83-84
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• 2016

IT 산업의 발달에 따라 기기간의 네트워크 구조도 단순한 중앙 제어 방식에서 필요에 의해 다양한 형태로 발전해왔다. 이러한 네트워크의 복잡화는 유지 보수의 어려움을 발생시켰고, 이를 완화하기 위해 등장한 것이 소프트웨어 정의 네트워크이다. 이러한 소프트웨어 정의 기법을 활용한 이더넷 장비의 효율성이 입증되자 해당 기법을 센서 네트워크 분야에 적용하려는 연구들이 진행되고 있다. 하지만 이더넷과 센서 네트워크는 주소 체계나 프로토콜 등 통신 및 구성이 상이하기 때문에, 기존의 소프트웨어 정의 네트워크를 단순히 적용하기만 해서는 구현이 불가능하다. 본 논문에서는 Internet of Things 분야의 소프트웨어 정의 네트워크 구축에 필요한 요소들과 관련 연구의 동향에 대해 서술하고자 한다.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2019년도 제59차 동계학술대회논문집 27권1호
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• pp.47-48
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• 2019

본 논문에서는 신경망의 일종인 자기조직화지도(Self Organizing Map)을 이용하여 컨트롤러의 순서를 정하는 모델을 제안하였다. 자기조직화지도는 자율 학습에 의한 클러스터링을 수행하는 알고리즘으로써 컨트롤러에 가중치를 부여하고 컨트롤러 간 거리를 계산하여 효율적인 컨트롤러 선택을 목표로 한다.

• International Journal of Computer Science & Network Security
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• 제24권2호
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• pp.136-142
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• 2024

Haze is a very common phenomenon that degrades or reduces the visibility. It causes various problems where high quality images are required such as traffic and security monitoring. So haze removal from images receives great attention for clear vision. Due to its huge impact, significant advances have been achieved but the task yet remains a challenging one. Recently, different types of deep generative adversarial networks (GAN) are applied to suppress the noise and improve the dehazing performance. But it is unclear how these algorithms would perform on hazy images acquired "in the wild" and how we could gauge the progress in the field. This paper aims to bridge this gap. We present a comprehensive study and experimental evaluation on diverse GAN models in single image dehazing through benchmark datasets.

• 한국음향학회:학술대회논문집
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• 한국음향학회 1994년도 제11회 음성통신 및 신호처리 워크샵 논문집 (SCAS 11권 1호)
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• pp.407-410
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• 1994

In this paper, we describe the new unsuperivised learning algorithm, SASOM. It can solve the defects of the conventional SOM that the state of network can't converge to the minimum point. The proposed algorithm uses the object function which can evaluate the state of network in learning and adjusts the learning rate flexibly according to the evaluation of the object function. We implement the simulated annealing which is applied to the conventional network using the object function and the learning rate. Finally, the proposed algorithm can make the state of network converged to the global minimum. Using the two-dimensional input vectors with uniform distribution, we graphically compared the ordering ability of SOM with that of SASOM. We carried out the recognitioin on the new algorithm for all Korean phonemes and some continuous speech.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국제학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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• pp.391-394
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• 1993

A new approach using a Hopfield type neural network to solve line balancing problems for manufacturing planning is proposed. The energy function of the network to evaluate solutions is composed of three terms;(a) an operation should be processed at one and only one workstation, (b) the precedence-relationship between two operations shoud be satisfied, and (c) the cycle-time of operations should be minimized. It is shown that the network can solve the line balancing problems but not always because of the difficulty to keep the precedence-relationship. Therefore, a method to keep the precedence-relationship by software logic is proposed and it is verified that the line-balancing prblems can be solved with high probability.

• KSTLE International Journal
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• 제3권1호
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• pp.54-59
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• 2002

It can be effective on failure diagnosis of oil-lubricated tribological system to analyze operating conditions with morphological characteristics of wear debris in a lubricated machine. And it can be recognized that results are processed threshold images of wear debris. But it is needed to analyse and identify a morphology of wear debris in order to predict and estimate a operating condition of the lubricated machine. If the morphological characteristics of wear debris are identified by the computer image analysis and the neural network, it is possible to recognize the friction condition. In this study, wear debris in the lubricating oil are extracted from membrane filter (0.45 ${\mu}m$) and the quantitative value fur shape parameters of wear debris was calculated through the computer image processing. Four shape parameters were investigated and friction condition was recognized very well by the neural network.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2008년도 추계 공동 국제학술대회
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• pp.623-628
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• 2008

소프트웨어 업 데이트를 위한 업데이트 코드 전파 기법은 매우 중요한 기술 중 하나이다. 본 논문에서는 네트워크 코딩 기법을 이용한 새로운 업데이트 코드 전파 기법을 제안한다. 제안된 코드전파 기법은 기존의 파이프라이닝 방식에 비해 데이터 송수신 횟수에 있어 약 49%의 성능 향상을 보인다. 따라서 본 논문에서 제안한 코드 업데이트 기법을 사용할 경우 속도, 에너지, 네트워크 혼잡도 측면에서 효율적인 소프트웨어 업데이트를 수행할 수 있다. 뿐만 아니라 본 논문에서 제안한 방식은 네트워크 코딩의 overhearing 문제점인 원본 데이터의 분실이나 데이터의 미 수신시 발생하는 디코딩문제를 미리 정의된 메시지를 이용, 방지함으로써 신뢰성있는 데이터 전송을 가능하게 한다.