• Proceedings of the KIEE Conference
• /
• 2004.11c
• /
• pp.403-405
• /
• 2004

This paper describes an implementation of Home network Control Protocol(HnCP) and it's application to an Intelligent lighting system. The HnCP was announced by korea PLC forum in June 2003 to provide a network protocol for PLC based home appliances. The HnCP master and HnCP slaves were implemented using XPLC30 which is an SOC with ARM9 core. The efficacy of the developed HnCP network modules were shown by applying them to a intelligent lighting system composed of dimmable fluorescent lamps. An extended message set was proposed for the intelligent lighting system and we proposed some directions for the future development of HnCP.

• Proceedings of the Korea Society for Simulation Conference
• /
• 2001.10a
• /
• pp.110-115
• /
• 2001

Today, effective utilization of sophisticated networks greatly influences the activities of a business, making performance evaluations of computer network systems a necessity, We have developed a special computer network simulator capable of automatically generating a model based on data accumulated by a network analyzer to guide the user in selecting ideal parameters. The simulator was developed to provide user-friendly analysis for engineers involved in the actual network design. This paper gives an overview of the simulator and describes an example application of evaluating a network design that anticipates the future increase in traffic for a company introducing voice over frame relay (VoFR) into a wide area network (WAW).

• Journal of the Korean Institute of Telematics and Electronics B
• /
• v.28B no.5
• /
• pp.394-403
• /
• 1991

This paper described the development of input driven multilayer perceptron(IDMLP) neural network and it's application to the Korean spoken digit recognition. The IDMPLP neural network used here and the learning algorithm for this network was proposed newly. In this model, weight value is integer and transfer function in the neuron is hard limit function. According to the result of the network learning for the some kinds of input data, the number of network layers is one or more by the difficulties of classifying the inputs. We tested the recognition of binaried data for the spoken digit 0 to 9 by means of the proposed network. The experimental results are 100% and 96% for the learning data and test data, respectively.

• Journal of Institute of Control, Robotics and Systems
• /
• v.16 no.7
• /
• pp.655-660
• /
• 2010

As increasing the number of Electronic Control Units in a vehicle, the proportion for reliability and stability of the software is going increasingly. Accordingly, the traditional CAN network has occurred the situation that the requirement of developing vehicle software is not sufficient. To solve these problems, the FlexRay network which is ensured the high bandwidth and real-time is generated. However it is difficult to implement FlexRay based application software because of complex protocol than traditional CAN network. Accordingly the system for analysis and verification of network state is needed. Also vehicle vendor develops application software using Matlab/Simulink in order to increase productivity. But this development method is hard to solve the network problem of node to node. Therefore this paper implements Matlab/Simulink based FlexRay network system and verifies it through comparing with existing embedded system.

• Journal of Ocean Engineering and Technology
• /
• v.8 no.2
• /
• pp.131-140
• /
• 1994

Dynamics of AUV has heavy nonlinearities and many unknown parameters due to its bluff shape and low cruising speed. Intelligent algorithms, therefore, are required to overcome these nonlinearities and unknown system dynamics. Several identification techniques have been suggested for the application of control of underwater vehicles during last decade. This paper applies the neural network to identification and motion control problem of AUVs. Nonlinear dynamic systems of an AUV are identified using feedforward neural network. Simulation results show that the learned neural network can generate the motion of AUV. This paper, also, suggest an adaptive control scheme up-dates the controller weights with reference model and feedforward neural network using error back propagation.

• The KIPS Transactions:PartC
• /
• v.11C no.6 s.95
• /
• pp.821-828
• /
• 2004

To analyze the usage information of system and network resources to the each grid application by measuring the real time traffic and calculating the statistic information, we suggested the kernel-based monitoring methods by researching the efficient monitoring method. This method use small system resourcesand measure the monitoring information accurately with less delay than the usual packet capture methods such as tcpdump. Also we implemented the monitoring systems which can monitor the used resources of system and network for grid application using the suggested kernel-based monitoring method. This research can give the useful information to the development of grid application and to grid network scheduler which can assign the proper resources to the grid application to perform efficiently. Network administrator can decide whether the expansion of network is required or not using the monitoring information.

• The Transactions of the Korea Information Processing Society
• /
• v.7 no.3
• /
• pp.909-922
• /
• 2000

High sped messaging layer for application's feeling of low level network performance is needed by Clustering System based on high speed network fabrics. It should have the mechanism to directly pass messages between network card and application space, and provide flexible affodabilities for many diverse applications. In this paper, CROWN (Clustering Resources On Workstations' Network) which is designed and implemented for multi-purpose clustering system will be introduced briefly, and CLCP(CROWN Lean Communication Primitives)which is the high speed messaging layer for CROWN will be followed. CLCP consists of a firmware for controlling Myrinet card, device drier, and user libraries. CLCP supports various application domains as a result of pooling and interrupt receive mechanism. In case of polling based receive, 8 bytes short message, and no other process, CLCP has 262 micro-second response time between two nodes, and IM bytes large message, it shows 442Mbps bandwidth.

• Annual Conference of KIPS
• /
• 2011.04a
• /
• pp.1614-1615
• /
• 2011

It is difficult to differentially diagnose between lung cancer and benign inflammatory lung lesion due to high false positive rate on F-18 FDG-PET. We investigated whether application of artificial neural network to this diagnosis may be helpful. We reviewed the medical records and F-18 FDG PET images of 12 patients, selecting clinical and PET variables such as SUV. For selected variables and confirm, multilayer neural perceptron was applied in crossvalidation method and compared to visual interpretation. Neural network correctly classified the lung lesions in 83%, and reduced greately the false positive rate. However, false negative rate was not influenced. Application of neural network to the differential diagnosis between lung cancer and benigh inflammatory lesion may be helpful. Further studies with more patients are warranted.

• KIPS Transactions on Computer and Communication Systems
• /
• v.2 no.8
• /
• pp.327-334
• /
• 2013

Today's network traffic has become extremely complex and diverse since the speed of network became faster and a variety of application services appear. Moreover, many applications appear and disappear fast and continuously. However, the current traffic classification system does not give much attention to this dynamic change of applications. In this paper, we propose an application awareness system in order to solve this problem. The application awareness system can provide the information, such as the usage trend of conventional applications and the emergence of new applications by recognizing the application name in a rapidly changing network environment. In order to recognize the application name, the Host field of HTTP protocol has been utilized. The proposed mechanism consists of two steps. First, the system generates the candidates of application name by extracting the domain name from the Host field in HTTP packet. Second, the administrator confirms the name afterward. The validity of the proposed system has been proved through the experiments in campus network.

• The Journal of Society for e-Business Studies
• /
• v.8 no.1
• /
• pp.71-83
• /
• 2003

Nowadays on-line services based on Internet are being popularized and there are lots of E-Commerce applications using Internet. So we can use lots of information on anytime. To maximize the convenience of the network, the platform of the service is moving from E-Commerce to M-Commerce. In this paper we developed the application system for mobile environment. Therefore applicants can apply their applications and see the competition rate of the applying departments anytime and anywhere even if in the network disconnection regions. And we can manage more economically the application system because we use the network only the time when we syncronize the mobile device to mobile server.