• ETRI Journal
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• 제37권2호
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• pp.262-272
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• 2015

In particular, for a practical mobile robot team to perform such a task as that of carrying out a search and rescue mission in a disaster area, the network connectivity and localization have to be guaranteed even in an environment where the network infrastructure is destroyed or a Global Positioning System is unavailable. This paper proposes the new collective intelligence network management architecture of multiple mobile robots supporting seamless network connectivity and cooperative localization. The proposed architecture includes a resource manager that makes the robots move around and not disconnect from the network link by considering the strength of the network signal and link quality. The location manager in the architecture supports localizing robots seamlessly by finding the relative locations of the robots as they move from a global outdoor environment to a local indoor position. The proposed schemes assuring network connectivity and localization were validated through numerical simulations and applied to a search and rescue robot team.

• 한국산학기술학회논문지
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• 제10권2호
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• pp.280-286
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• 2009

NGN(Next-Generation Network)의 구조는 전 IP 유무선 통합망으로서 다양한 관점에서 연구되어져왔으며 이러한 네트워크의 성능은 가장 중요한 쟁점의 하나이다. 본 연구에서는 다양한 유무선 통합망에서 음성 서비스를 제공할 때에 발생할 수 있는 문제점과 요인들을 발견하기 위하여 OPnet 시뮬레이터를 활용하여 성능분석을 수행하였다. 단일의 유선망이나 무선망과는 달리 유무선 통합망에서만 보이는 특성을 측정하고 분석하였다. 특히, 유무선 통합망에서는 네트워크의 전송이 빈번하지 않은 환경에서도 전반적인 망의 성능이 저하되는 결과를 측정하였으며 그밖에도 노드수의 증가와 전송량의 변화에 따른 망의 성능을 비교 분석하였다.

• Journal of information and communication convergence engineering
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• 제16권3호
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• pp.135-141
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• 2018

Wireless sensor networks (WSN) are composed of a large number of sensor nodes. Battery-powered sensor nodes have limited coverage; therefore, it is more efficient to transmit data via multi-hop communication. The network lifetime is a crucial issue in WSNs and the multi-hop routing protocol should be designed to prolong the network lifetime. Prolonging the network lifetime can be achieved by minimizing the power consumed by the nodes, as well as by balancing the power consumption among the nodes. A power imbalance can reduce the network lifetime even if several nodes have sufficient (battery) power. In this paper, we propose a routing protocol that prolongs the network lifetime by balancing the power consumption among the nodes. To improve the balance of power consumption and improve the network lifetime, the proposed routing scheme adaptively controls the transmission range using a power control according to the residual power in the nodes. We developed a routing simulator to evaluate the performance of the proposed routing protocol. The simulation results show that the proposed routing scheme increases power balancing and improves the network lifetime.

• Journal of Information Processing Systems
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• 제12권3호
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• pp.511-524
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• 2016

The Virtual Local Area Network (VLAN) has been used for a long time in campus and enterprise networks as the most popular network virtualization solution. Due to the benefits and advantages achieved by using VLAN, network operators and administrators have been using it for constructing their networks up until now and have even extended it to manage the networking in a cloud computing system. However, their configuration is a complex, tedious, time-consuming, and error-prone process. Since Software Defined Networking (SDN) features the centralized network management and network programmability, it is a promising solution for handling the aforementioned challenges in VLAN management. In this paper, we first introduce a new architecture for campus and enterprise networks by leveraging SDN and OpenFlow. Next, we have designed and implemented an application for easily managing and flexibly troubleshooting the VLANs in this architecture. This application supports both static VLAN and dynamic VLAN configurations. In addition, we discuss the hybrid-mode operation where the packet processing is involved by both the OpenFlow control plane and the traditional control plane. By deploying a real test-bed prototype, we illustrate how our system works and then evaluate the network latency in dynamic VLAN operation.

• 융합보안논문지
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• 제8권4호
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• pp.51-56
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• 2008

VPN(Virtual Private Network)과 DSL, 케이블과 같은 다이얼업 접속의 조합은 저렴한 비용으로 임대라인 기반의 사설망의 대안이 되고 있다. VPN 장비의 고가용성(High Availability, HA)에 대한 기업의 요구가 증대되고 있다. 본 논문에서 VPN 게이트웨이에서 링크 이중화를 통한 액티브-액티브 방식을 이용해 네트웍 접근성의 고가용성과 네트웍 부하 분산 기법을 제안한다. 네트웍 링크의 고가용성/부하분산은 외부 내트웍 접근을 독립적인 두 개의 라인으로 이중화하는 것으로 달성할 수 있다. 이것은 둘 중 하나의 링크에 문제가 발생하더라도 내부 사용자에게 지속적인 네트웍 접근을 제공할 수 있다. 뿐만 아니라, 네트웍 부하를 두 개의 라인으로 분산시킴으로써 두 배에 가까운 네트웍 대역폭을 제공할 수 있다. 네트웍 링크의 부하 분배를 위해 정적인 알고리즘과 동적인 알고리즘을 제안한다.

• 융합신호처리학회논문지
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• 제3권1호
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• pp.54-60
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• 2002

본 논문에서는 신경망제어기의 출력을 보상하는 퍼지보상기를 갖는 신경망-퍼지 하이브리드 제어기에 관하여 제안하였다. 학습이 완료된 신경망제어기를 사용하더라도 예상치 못한 외란으로 인해 플랜트의 출력이 좋지 못한 경우가 있는데, 이것을 적절하게 조절해 주기 위해 퍼지보상기를 사용하여 원하는 결과를 얻을 수 있도록 하였다. 그리고 플랜트의 역모델 신경망을 학습시킨 결과를 이용하여 주 신경망의 가중치를 변경시킴으로서 원하는 플랜트의 동적 특성을 얻게 된다. 2차 플랜트를 통한 모의실험 결과, 제안한 속도제어기가 신경망제어기보다 더 좋은 응답 특성을 가짐을 확인할 수 있다. 제안한 속도제어기의 성능을 확인하기 위해 유압 서보시스템을 대상으로 DSP 프로세서를 사용하여 구현한 후 실험 결과를 관찰하였다.

• Journal of Power Electronics
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• 제11권3호
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• pp.279-284
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• 2011

Network-based controls for ac motor drive systems are becoming increasingly important. In this paper, an ac motor control system is implemented by a motor control module and three sensor modules such as a voltage sensor module, a current sensor module, and an encoder module. There will inevitably be network time delays from the sensor modules to the motor control system, which often degrades and even destabilizes the motor drive system. As a result, it becomes very difficult to estimate the network delayed ac sensor data. An algorithm to reduce the effects of network time delays on sensor data is proposed, using both a synchronization signal and a simple method for estimating the sensor data. The algorithm is applied to a vector controlled induction motor drive system, and the performance of the proposed algorithm is verified with experiments.

• International Journal of Computer Science & Network Security
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• 제23권7호
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• pp.39-48
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• 2023

Breast cancer screening makes extensive utilization of mammography. Even so, there has been a lot of debate with regards to this application's starting age as well as screening interval. The deep learning technique of transfer learning is employed for transferring the knowledge learnt from the source tasks to the target tasks. For the resolution of real-world problems, deep neural networks have demonstrated superior performance in comparison with the standard machine learning algorithms. The architecture of the deep neural networks has to be defined by taking into account the problem domain knowledge. Normally, this technique will consume a lot of time as well as computational resources. This work evaluated the efficacy of the deep learning neural network like Visual Geometry Group Network (VGG Net) Residual Network (Res Net), as well as inception network for classifying the mammograms. This work proposed optimization of ResNet with Teaching Learning Based Optimization (TLBO) algorithm's in order to predict breast cancers by means of mammogram images. The proposed TLBO-ResNet, an optimized ResNet with faster convergence ability when compared with other evolutionary methods for mammogram classification.

• 한국생물공학회:학술대회논문집
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• 한국생물공학회 2000년도 춘계학술발표대회
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• pp.173-176
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• 2000

A neural network based controller (NN controller) was studied for the control of ammonia concentrations in biological processes. An ammonia FIA has been employed to on-line monitor the concentrations of ammonia in a bioreactor. The optimal neural network structure was investigated by computer simulation and found to be a 3(inputlayer)-2(hidden layer)-1(output layer). The NN controller had advantage over the PID controller, even though the former is more time consuming. The 3-2-1 NN controller has been used to control the ammonia concentrations in a simulated bioprocess and also in a real cultivation process of yeast, and its performance were investigated.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2000년도 추계학술대회 학술발표 논문집
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• pp.393-398
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• 2000

In this paper, we propose an Intelligent Monitoring Network System(IMNS) for the truck scale balance system. Truck scale balance system consis of three parts; Load cell part, Indicator part, and Junction box part. IMNS is attached to Junction box in truck scale balance system. Even if Load cell have been some problems, a truck scale balance system still has been run to determine, the values involved error. Therefore prosed system is has concentrated on Load cell part. Other Parts have been changed a portion of circuit for monitoring system.