• IEMEK Journal of Embedded Systems and Applications
• /
• v.7 no.6
• /
• pp.323-330
• /
• 2012

Wireless sensor networks need middleware system for efficiently managing the constrained resource and sensing data because they need different sensing data type and protocol to communicate with heterogeneous sensor networks. Thus this paper proposes data-centric sensor middleware for heterogeneous sensor networks. The proposed middleware have to support various query processing of user applications, high-level request of users, manage heterogeneous sensor systems and universal sensing data type for node and user application.

• The Transactions of the Korean Institute of Electrical Engineers
• /
• v.32 no.7
• /
• pp.247-253
• /
• 1983

Cauer and Foster type LC networks being examined, table for illustration is presented. This paper presents a thoerem to determine and generate the exact number of LC equivalent networks obtained by combining Cauer and Foster type. By combining Cauer and foster type, one can construct greater number of canonic equivalent networks than is obtainable through use of Cauer type alone. Furthermore, the number of equivalent networks is rapidly increased with increased with increasing the order. An illustrative example is provided to confirm the proposed theorem. This theouem is easily applied to RC and RL cases.

• Proceedings of the IEEK Conference
• /
• 1998.10a
• /
• pp.91-94
• /
• 1998

ATM technology is reaching a certain level of maturity that allow for its deployment in local as well as in wide area networks. Concurrently, audiovisual applications are foreseen as one of the major users of such broadband networks. We present in this paper requriement of real-time multimedia service on B-ISDN networks and simulating the transport of MPEG-2 encoded multimedia data over ATM networks using CBR, VBR, ABR of ATM Traffic Service. We compare each delay time considering network performance and propose need for real-time multimedia service.

• ETRI Journal
• /
• v.30 no.6
• /
• pp.856-858
• /
• 2008

Odd networks were introduced in the context of graph theory. However, their potential as fault-tolerant multiprocessor networks has been shown. Broadcasting is one of the most important communication primitives used in multiprocessor networks. In this letter, we introduce efficient one-to-all broadcasting schemes of odd networks for one-port and all-port models. We show the broadcasting time of the former is 2d-2 and that of the latter is d-1. The total time steps taken by the proposed algorithms are optimal.

• Proceedings of the KIEE Conference
• /
• 1991.07a
• /
• pp.892-895
• /
• 1991

In this study, it has been refering that disposal of rapidly international information society and artificial intelligence neural networks of the vanguard software technology. This paper is human brain cell structure modeling in order to neural networks realization for order language and computer embodiment of parallel processing. And it is shown that the usage extreme of time saving and correct judgement for business services, Overviews some of the currently popular neural networks architectures, and describes the current state of the neural networks technology.

• Structural Engineering and Mechanics
• /
• v.6 no.5
• /
• pp.517-527
• /
• 1998

This paper describes an exact method of analysis for natural vibration of diagonal networks by considering an equivalent cyclic periodic structure and adopting the double U-transformation technique. Both a lumped mass system and a distributed mass system are considered to investigate the diagonal networks. The exact solution for the frequency equations and the natural modes of the networks can be derived. As numerical examples, square diagonal cable networks with different meshes are worked out.

• Structural Engineering and Mechanics
• /
• v.6 no.8
• /
• pp.955-969
• /
• 1998

Engineering problems are inherently imprecision tolerant. Biologically inspired soft computing methods are emerging as ideal tools for constructing intelligent engineering systems which employ approximate reasoning and exhibit imprecision tolerance. They also offer built-in mechanisms for dealing with uncertainty. The fundamental issues associated with engineering applications of the emerging soft computing methods are discussed, with emphasis on neural networks. A formalism for neural network representation is presented and recent developments on adaptive modeling of neural networks, specifically nested adaptive neural networks for constitutive modeling are discussed.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 1995.04b
• /
• pp.178-182
• /
• 1995

The technique of neural networks is applied to cold forging design system. A user can select more desirable plans in cold forging design by being advised with expert's opinion from neural networks. The neural networks are learned with 3 parts which are most important in cold forging design-undercut, narrow hole, sharp corner. Using the neural networks, the cold forging design system built in this study determines forming possibility about variable shapes in product. We can get available result using the system.

• Journal of the Korean Society for Industrial and Applied Mathematics
• /
• v.23 no.4
• /
• pp.329-350
• /
• 2019

This paper examines individual and social strategies to form profitable cooperation networks. These two types of strategies measure network stability and efficiency that may not meet in a single network. We apply restrictions on knowledge flows (R&D spillovers) and links formation to integrate these benefits into structures that ensure high outcomes for both strategies. The results suggest that linking the spillovers to the firms' positions and restricting cooperation contribute to reducing the conflict between the individual and social strategies in the development of cooperative networks.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2000.05a
• /
• pp.126-129
• /
• 2000

In order to approximate a nonlinear function, wavelet neural networks combining wavelet theory and neural networks have been proposed as an alterantive to coventional multi-layered neural networks. Wavelet neural networks provide better approximating performance than conventional neural networks. In this paper, an effective method to construct an optimal wavelet neural network is proposed using genetic algorithm. This is verified through experimental results.