• Annual Conference of KIPS
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• 2005.11a
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• pp.1125-1128
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• 2005

최근 유비쿼터스 네트워크 환경을 구축하기 위해 많은 무선 통신 기술들이 등장하였다. 그 중 무선랜 기술은 쉬운 설치와 저렴한 비용 덕에 폭발적인 보급이 이루어 졌다. IEEE 802.11 표준을 기반으로 만들어진 무선랜은 여러 개의 전송속도를 지원한다. 대표적으로 802.11b 는 1, 2, 5.5, 11Mbps 의 4 가지 전송속도를 지원한다. 낮은 전송속도로 전송을 하면 패킷 전송시간은 증가하지만 비트 에러율은 감소된다. 각각의 전송속도에 따라 다른 패킷 전송 성공률을 갖게 된다. 한 무선랜 AP 에 연결된 노드들은 각자 자신의 처리율을 최대화할 수 있는 전송속도를 결정하여 사용하게 된다. 이러한 상황은 전체 시스템 성능에는 문제를 발생시킬 수 있다. 본 논문에서는 각자의 전송속도를 각자가 결정하는 것이 전체 시스템 성능에 문제를 발생시키는 경우를 보이고, 그것을 해결하기 위해 AP 가 각 노드의 전송속도 및 전송시간을 결정하는 기법을 제안한다. 나아가 무선랜에서의 문제점인 Performance Anomaly 현상을 해결하고, [3]에서 언급된 Inefficient Equilibria 현상도 막아본다.

• Journal of Ocean Engineering and Technology
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• v.24 no.3
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• pp.72-78
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• 2010

This paper presents a design approach of driving system for tidal flat vehicle. Firstly, topographic and geological survey of tidal flat zone was accomplished. 'Anac' located in the west-south coast of South Korea was chosen for the survey area. From the survey, the basic design data such as distribution of gullies size and bearing pressure was obtained. To figure out the shape of driving system, numerical simulations were carried out. Through the numerical dynamic simulations using $Recurdyn^{TM}$, the performance of various concepts of driving system was analyzed. From the results, we propose the conceptual design with the functions: a) low contact pressure, b) powerful driving force transmission, c) adaptation to the ground undulation. To satisfy these functional requirements, the driving system adopts rubber tracks, sprockets, tires and suspensions. The static structural analysis of the frame structure was executed as well, from which the detailed design was drawn out. To validate the performance of the designed driving system, the test vehicle which has gasoline engine of 27HP and mechanical transmission was constructed. The driving tests of the vehicle were performed twice at the "Anac" area, and unveiled its capability.

• Korean Institute of Interior Design Journal
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• v.23 no.4
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• pp.42-51
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• 2014

The research aims to analyze the structural meaning of mobility design on 'Furnitecture' with the works of Andrea Zittel. The study consists of the literature review and the analysis of Zittel's works. The framework for the analysis is divided into four steps: identification of visual forms/structure/function, analysis of the principles of delivering the concept of mobility, interpretation & synthesis of the relational meanings derived from the concepts of mobility, and evaluation of Zittel's tendency toward design/social background/design history, etc. Total fifteen cases are selected from Zittel's works, and each case is analyzed following the above steps. The finding shows that Zittel likes to play with geometrical forms, grid & modular system to create a minimum space for living equipped with critical furnishing. Secondly, Zittel's works deliver the concept of mobility by applying movability, adaptation, combination and transformation. Thirdly, through the concepts of mobility, Zittel reflects the ideas of high efficiency and functionalism, harmony with natural environment, search for liberty, simple & humble life and success of the designers of American modernism. Finally, it is found that modernism from the era of Bauhaus, utopian values derived from constructionism, utilitarianism inspired by Shakers and homestead act & mobile home/capsule unit suggested since 19th century in America mainly affect Zittel's works to reflect the dynamic concepts of mobility through the design of furnitecture.

• Journal of Power Electronics
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• v.14 no.5
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• pp.1008-1027
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• 2014

An electric scooter with a V-belt continuously variable transmission (CVT) driven by a permanent magnet synchronous motor (PMSM) has a lot of nonlinear and time-varying characteristics, and accurate dynamic models are difficult to establish for linear controller designs. A PMSM servo-drive electric scooter controlled by a novel hybrid modified recurrent Legendre neural network (NN) control system is proposed to solve difficulties of linear controllers under the occurrence of nonlinear load disturbances and parameters variations. Firstly, the system structure of a V-belt CVT driven electric scooter using a PMSM servo drive is established. Secondly, the novel hybrid modified recurrent Legendre NN control system, which consists of an inspector control, a modified recurrent Legendre NN control with an adaptation law, and a recouped control with an estimation law, is proposed to improve its performance. Moreover, the on-line parameter tuning method of the modified recurrent Legendre NN is derived according to the Lyapunov stability theorem and the gradient descent method. Furthermore, two optimal learning rates for the modified recurrent Legendre NN are derived to speed up the parameter convergence. Finally, comparative studies are carried out to show the effectiveness of the proposed control scheme through experimental results.

• Proceedings of the KIEE Conference
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• 1995.07b
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• pp.705-709
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• 1995

The objective of this study is to design a multi-layer neural network which controls the position of excavator's attachment. In this paper, a dynamic controller has been developed based on an error back-propagation(BP) neural network. Since the neural network can model an arbitrary nonlinear mapping, it was used as a commanded feedforward input generator. A PD feedback controller is used in parallel with the feedforward neural network to train the system. The neural network was trained by the current state of the excavator as well as the PD feedback error. By using the BP network as a feedforward controller, no a priori knowledge on system dynamics is need. Computer simulation results demonstrate such powerful characteristics of the proposed controller as adaptation to changing environment, robustness to disturbancen and performance improvement with the on-line learning in the position control of excavator attachment.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.12
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• pp.1220-1230
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• 2006

In this paper, we propose a flew technique to the design and real-time control of an adaptive controller for robotic manipulator based on digital signal processors. The Texas Instruments DSPs(TMS320C80) chips are used in implementing real-time adaptive control algorithms to provide enhanced motion control performance for dual-arm robotic manipulators. In the proposed scheme, adaptation laws are derived from model reference adaptive control principle based on the improved Lyapunov second method. The proposed adaptive controller consists of an adaptive feed-forward and feedback controller and time-varying auxiliary controller elements. The proposed control scheme is simple in structure, fast in computation, and suitable for real-time control. Moreover, this scheme does not require any accurate dynamic modeling, nor values of manipulator parameters and payload. Performance of the proposed adaptive controller is illustrated by simulation and experimental results for a dual arm robot manipulator with eight joints. joint space and cartesian space.

• Journal of Korea Society of Industrial Information Systems
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• v.22 no.4
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• pp.29-43
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• 2017

Innovation Cosystems are Conceptualized as Organizational Networks of Economic Actors, Technologies and Social Contexts that Interact for Knowledge Production, use, and Adaptation. This Paper Proposed a Conceptual Framework to Describe Value Co-creation of Organizational Networks Engaged in Technology Innovation. We Adopted Theory-Based Approach by Integrating the Perspective of Service-Dominant (S-D) Logic Into the Evolutionary Model of the Triple Helix. The Framework Gives a Plausible Explanation on how Actors Collaborate to Create Value in Dynamic Contexts of an Innovation Ecosystem. The Innovation Ecosystem can be Considered as a Composite of Sub-Ecosystems, Including Knowledge, Sectoral, and Business Ecosystems. When these Sub-Ecosystems are Recursively Transformed by Coordination of Functional Mechanisms that Serve Value Co-creation in the Innovation Process, the Innovation Ecosystem will be Re-Organized and Evolve. The case of the Digital Living Network Alliance (DLNA) was Examined to Demonstrate the Fundamental Mechanisms for Value Co-creation that was Described in the Framework. The case Study Indicates Features of Value Co-creation when Implementing Innovation in Organizational Networks.

• Molecules and Cells
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• v.27 no.4
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• pp.493-496
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• 2009

Hypoxia-inducible factor $1{\alpha}$ ($HIF1{\alpha}$) is a transcription factor that plays a key role in the adaptation of cells to low oxygen stress and oxygen homeostasis. The oxygen-dependent degradation (ODD) domain of $HIF1{\alpha}$ responsible for the negative regulation of $HIF1{\alpha}$ in normoxia is intrinsically unfolded. Here, we carried out the backbone $^1H$, $^{15}N$, and $^{13}C$ resonance assignment of a proteolysis-resistant fragment (residues 404-477) in the $HIF1{\alpha}$ ODD domain using NMR spectroscopy. About 98% (344/352) of all the $^1HN$, $^{15}N$, $^{13}C{\alpha}$, $^{13}C{\beta}$, and $^{13}CO$ resonances were unambiguously assigned. The results will be useful for further investigation of the structural and dynamic states of the $HIF1{\alpha}$ ODD domain and its interaction with binding partners.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.8
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• pp.3821-3841
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• 2019

Cloud radio access networks (C-RANs) have been regarded in recent times as a promising concept in future 5G technologies where all DSP processors are moved into a central base band unit (BBU) pool in the cloud, and distributed remote radio heads (RRHs) compress and forward received radio signals from mobile users to the BBUs through radio links. In such dynamic environment, automatic decision-making approaches, such as artificial intelligence based deep reinforcement learning (DRL), become imperative in designing new solutions. In this paper, we propose a generic framework of autonomous cell activation and customized physical resource allocation schemes for energy consumption and QoS optimization in wireless networks. We formulate the problem as fractional power control with bandwidth adaptation and full power control and bandwidth allocation models and set up a Q-learning model to satisfy the QoS requirements of users and to achieve low energy consumption with the minimum number of active RRHs under varying traffic demand and network densities. Extensive simulations are conducted to show the effectiveness of our proposed solution compared to existing schemes.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.277-280
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• 2009

Mobile Ad-hoc Network(MANET) could provide the reliable monitoring and control of a variety of environments for remote place. Mobility of MANET would require the topology change frequently compared with a static network. To improve the routing protocol in MANET, energy efficient routing protocol would be required as well as considering the mobility would be needed. In this paper, we propose a new method that the CACH(Context-aware Clustering Hierarchy) algorithm, a hybrid and clustering-based protocol that could analyze the link cost from a source node to a destination node. The proposed analysis could help in defining the optimum depth of hierarchy architecture CACH utilize. The proposed CACH could use localized condition to enable adaptation and robustness for dynamic network topology protocol and this provide that our hierarchy to be resilient.