• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.570-582
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• 2022

Nucleoplasty is a type of percutaneous disc decompression that has been developed to treat herniated intervertebral discs. Currently, in some clinics, researchers have also applied this procedure to patients with internal disc disruption, apart from the originally intended usage on herniated intervertebral discs. The purpose of this study is to evaluate the feasibility of this extended use based on medical logic. To achieve this, the author analyzed case studies on performing nucleoplasty on patients with internal disc disruption. The main points of the analysis are, first, the validity of the treatment evidence presented by the researchers and, second, the relevance of the patient selection criteria. As a result, it is judged that the therapeutic rationale of existing papers applying nucleoplasty to the treatment of internal disc disruption is unclear or inconsistent with general medical logic, and in the process of patient screening, discs that may be deemed inappropriate for percutaneous decompression are included. Therefore, the author believes that existing studies applying nucleoplasty to the treatment of internal disc disruption have the nature of somewhat adventurous experiments that are unnecessary or can cause potential side effects. In order to uphold patients' rights and improve the completeness of the study in the research process on this topic, the author thinks that it is essential to establish clearer therapeutic evidence than the current level of understanding and to have an elaborate patient screening process based on it.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.40 no.6
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• pp.69-75
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• 2003

This paper presents a fuzzy logic based approach to tracking control of a sampled nonlinear system. It is assumed that the plant to be controlled is under both the internal uncertainty and the external disturbances. Discrete-time adaptive fuzzy control method is proposed and its parameters are determined by the recently-spolighted convex optimization technique called LMI. Finally, the computer simulation is tarried out to verify the effectiveness of the proposed method.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.23 no.1
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• pp.15-20
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• 2014

The manufacturing equipment on most shop floors consists of numerical control machines, and the condition of each piece of equipment is monitored and controlled by an internal sensor or programmable logic controller (PLC). To control and monitor production lines that consist of an equipment or production module, a separate control and monitoring system such as a manufacturing execution system should be introduced. However, there is no standardized system, and it is costly and difficult to build a system for small or medium-sized plants. In this paper, a PLC-based supervisory system for operation control of a group of production machines is proposed, and the developed PLC-based system is evaluated by applying it to a computer numerical control machine.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.1931_1933
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• 2009

NoC 기반 시스템이 적용되는 설계는 시스템 크기가 커짐에 따라 칩 테스트 문제도 동시에 제기 되고 있다. 이에 따라 NoC 기반의 시스템의 테스트 시간을 줄일 수 있는 internal test 방식의 새로운 BIST(Built-in Self-Test) 구조에 관한 연구를 하였다. 기존의 NoC 기반 시스템의 BIST 테스트 구조는 각각의 router와 core에 BIST logic과 random pattern generator로 LFSR(Linear Feedback Shift Register)을 사용하여 연결하는 individual 방식과 하나의 BIST logic과 LFSR을 사용하여 각각의 router와 core에 병렬로 연결하는 distributed 방식을 사용한다. 이때, LFSR에서 생성된 테스트 벡터가 router에 사용되는 FIFO 메모리를 통과하면서 생기는 테스트 타임 증가를 줄이기 위하여 shift register 형태의 FIFO 메모리를 변경하였다 제안된 방법에서 테스트 커버리지 98%이상을 달성하였고, area overhead면에서 효과를 볼 수 있다.

• Proceedings of the KIEE Conference
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• 1998.07g
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• pp.2281-2283
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• 1998

In this paper, we propose a digital differential protection of power transformer using intelligent schemes. Intelligent schemes is based on fuzzy logic and neural networks. To enhance the distinction between fault and inrush of conventional approaches, relaying technique by fuzzy logic and neural networks are used. We used transformer inrush currents, external and internal fault signals, which are obtained from EMTP simulation.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.50 no.5
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• pp.211-217
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• 2001

This paper proposes a new fault detection criterion logic that extracts the features of magnetizing inrush and internal faults by making use of Daubechies Wavelet Transform which analyzes distinct features. To prove the effectiveness of proposed method, the paper constructs power system model including power transformer by using EMTP, and collects data through simulation using various fault inception angle and magnetizing inrush. The conclusions implemented by the C program and the Wavemenu of MATLAB Toolbos are more effective and simpler to distinguish inter-turn faults from magnetizing inrush states.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.29.1-29
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• 2001

Neuro-fuzzy systems are multi-layered connectionist networks that realize the elements and functions of traditional fuzzy logic control/decision systems. A trained neuro-fuzzy system is isomorphic to a fuzzy logic system, and fuzzy IF-THEN rule knowledge can be explicitly extracted from the network. This talk presents a brief introduction to self-adaptive neuro-fuzzy systems and addresses some recent research results and applications. Most of the existing neuro-fuzzy systems exhibit several major drawbacks that lead to performance degradation. These drawbacks are the curse of dimensionality (i.e., fuzzy rule explosion), inability to re-structure their internal nodes in a changing environment, and their lack of ability to extract knowledge from a given set of training data. This talk focuses on our investigation of network architectures, self-adaptation algorithms, and efficient learning algorithms that will enable existing neuro-fuzzy systems to self-adapt themselves in an unstructured and uncertain environment.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.423-424
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• 2008

The procedure of design and verification for a 16-bit RISC processor is introduced in this paper. The proposed processor has Harvard architecture and consists of 24-bit address, 5-stage pipeline instruction execution, and internal debug logic. ADPCM vocoder and SOLA algorithm are successfully carried out on the processor made with FPGA.

• Journal of the Korean Society for Precision Engineering
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• v.31 no.2
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• pp.125-131
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• 2014

Winding is an integral operation in almost every roll-to-roll continuous process and center-winding is suitable and general scheme in the winding system. However, the internal stresses within center-wound rolls can cause damage such as buckling, spoking, cinching, etc. It is therefore necessary to analyze the relationship between taper tension in winding section and internal stress distribution within center-wound roll to prevent the winding failure. In this study, an optimal taper tension control method with parabolic taper tension profile for producing high quality wound roll was developed. The new logic was designed from analyzing the winding mechanism by using the stress model in center-wound rolls. The performance of the proposed taper tension profile was verified experimentally.

• Journal of the Korean Institute of Intelligent Systems
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• v.6 no.2
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• pp.111-119
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• 1996

In this paper, we propose time-optimal trajectory planning algorithms for cooperative multi-robot manipulators system considering optimal load distribution. Internal forces essentially effect on time optimal trajectory planning and if they are comitted, the time optimal scheme is not no longer true. Therefore, we try to find the internal force factors of cooperative robot manipulators system in a time-optimal aspect. In this approach, a specific generalized inverse is used and is fuzzified for the purpose. In this optimal method, the fuzzy logic concept is used and selected for diminishing computation time, for finding the load distribution factors.