• Journal of information and communication convergence engineering
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• v.14 no.4
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• pp.268-271
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• 2016

An efficient inductive switching noise suppression technique for mixed-signal integrated circuits (ICs) using standard CMOS digital technology is proposed. The proposed design technique uses a parallel RC circuit, which provides a damping path for the switching noise. The proposed design technique is used for designing a mixed-signal circuit composed of a ring oscillator, a digital output buffer, and an analog noise sensor node for $0.13-{\mu}m$ CMOS digital IC technology. Simulation results show a 47% reduction in the on-chip inductive switching noise coupling from the noisy digital to the analog blocks in the same substrate without an additional propagation delay. The increased power consumption due to the damping resistor is only 67% of that of the conventional source damping technique. This design can be widely used for any kind of analog and high frequency digital mixed-signal circuits in CMOS technology

• Proceedings of the KIPE Conference
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• 2002.07a
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• pp.627-630
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• 2002

본 논문에서는 플라즈마 디스플레이 패널(PDP)의 높은 소비 전력을 줄이기 위해 요구되어지는 에너지 회수회로를 제안한다. 제안하는 회로는 기존의 회로와 비교하여 저가형 구조를 가지며 효율을 증대 시킬 수 있는 장점을 가진다 본 회로는 유지 구간 동안 두 번의 공진을 수행하게 된다. 패널과 병렬로 결합된 인덕터와 외부 캐패시터 사이에서 발생하는 첫 번째 공진은 정$\cdot$부의 선택적인 펄스를 발생시키기 위해 이용되고, 스위치 오프 구간동안 순간적으로 발생되는 인덕터와 패널사이의 두번째 공진은 PDP의 용량성 변위 전류에 의한 에너지를 회수하게 된다. 제안하는 회로의 동작원리와 설계절차를 제시하였으며, 7.5인치 패널을 이용한 시작품을 제작하여 시뮬레이션과 실험결과를 통해 타당성 을 검증하였다.

• Proceedings of the KIPE Conference
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• 2002.07a
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• pp.631-634
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• 2002

Plasma Display Panel의 기술은 급격하게 발전하고 있지만, 여전히 몇 가지 문제를 해결하기 위해 다각적인 접근이 이루어지고 있다. 동화상의 윤곽제거, 광 대비 향상을 통한 화질의 개선, 신뢰도 및 전력 효율을 개선하는 등의 문제가 여기에 해당되며 그 중에서도 특히, 전력 효율을 향상시키기 위해서는 PDP의 발광효율을 높이는 것과 함께 기체방전과는 직접적인 관련이 없이 구동과정에서 발생하게 되는 불필요한 전력 소모를 최소화하여야한다. 본 논문에서는 이러한 전력소모를 최소화하기 위한 새로운 형태의 고효율 에너지 회수 회로를 제안하고 시뮬레이션을 통해 그 동작을 확인하였다 그리고 제안하는 회로를 실제 7.5 인치 패널에 연결하고, 200 (kHz)에서 실험하여 제안한 에너지 회수 회로의 타당성을 검증하였다.

• Journal of Computing Science and Engineering
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• v.11 no.1
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• pp.1-8
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• 2017

Naive Bayes nearest neighbor (NBNN) is a simple image classifier based on identifying nearest neighbors. NBNN uses original image descriptors (e.g., SIFTs) without vector quantization for preserving the discriminative power of descriptors and has a powerful generalization characteristic. However, it has a distinct disadvantage. Its memory requirement can be prohibitively high while processing a large amount of data. To deal with this problem, we apply a spherical hashing binary code embedding technique, to compactly encode data without significantly losing classification accuracy. We also propose using an inverted index to identify nearest neighbors among binarized image descriptors. To demonstrate the benefits of our method, we apply our method to two existing NBNN techniques with an image dataset. By using 64 bit length, we are able to reduce memory 16 times with higher runtime performance and no significant loss of classification accuracy. This result is achieved by our compact encoding scheme for image descriptors without losing much information from original image descriptors.

• Proceedings of the KIEE Conference
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• 1990.07a
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• pp.129-132
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• 1990

This paper reports an expert system for coordination of protective relays in the high voltage transmission system. The proposed system consists of five modules and has adopted the frame and production rule representations achieving the efficient data storage and knowledgebases. It has an interface to the fault program PSS/E and has reduced the data retrival time by implementing the local database containg only the minimum information for the process. Different relay parameters and output formats of the setting results can be easily incorporated owing to the rule-based structure. Graphics-based output helps understanding of the process and enhances the practical power.

• Applied Chemistry for Engineering
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• v.3 no.4
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• pp.535-546
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• 1992

The molten carbonate fuel cell(MCFC) has been under Intensive development for the last decade as a second generation fuel cell. The advantages of the MCFC over the phophoric acid fuel cell are higher efficiency, its ability to accept CO and $H_2$ as a fuel, lower material costs, and high operating temperature making internal reforming possible. These features, along with low atmospheric emissions, will open up a significant market as an attractive means of developing highly efficient power plant. This article reviews a status of the MCFC research and development, a principle of the MCFC, and cell and stack technology including the status of electrodes, matrices and electrolytes. Several technical difficulties which must be resolved to be commercialized art mainly focused.

• Transactions of Materials Processing
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• v.17 no.8
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• pp.662-667
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• 2008

Because of steep rise of international energy cost in recent years, high efficiency has been emphasized in energy policy. As far as injection molding machine is concerned, hybrid method using hydraulic and electric systems became the key to this energy saving. The energy saving and molding reproducibility of hybrid injection molding process were shown experimentally. The power consumption of hybrid injection molding machine is reduced to 38% as compared with that of hydraulic machine. Furthermore, the molding reproducibility was shown for both methods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.8
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• pp.1825-1842
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• 2013

Rapid growth of the IT industry has led to significant energy consumption in the last decade. Data centers swallow an enormous amount of electrical energy and have high operating costs and carbon dioxide excretions. In response to this, the dynamic consolidation of virtual machines (VMs) allows for efficient resource management and reduces power consumption through the live migration of VMs in the hosts. Moreover, each client typically has a service level agreement (SLA), this leads to stipulations in dealing with energy-performance trade-offs, as aggressive consolidation may lead to performance degradation beyond the negotiation. In this paper we propose a heuristic based resource allocation of VM selection and a VM allocation approach that aims to minimize the total energy consumption and operating costs while meeting the client-level SLA. Our experiment results demonstrate significant enhancements in cloud providers' profit and energy savings while improving the SLA at a certain level.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.23 no.9A
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• pp.2271-2281
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• 1998

The wordlength optimization for the analog-to-digital converter in DS-CDMA receivers is very important for the efficient implementation of front-end digital demodulator blocks. Wideband CDMA systems reqire a very fast acquisition time, thus they prefer the matched filter base dreceiver architecture.However, the matched filter should san very long chips, and as a results, requires a large number of gates and a high-power consumption. In this paper, the quantization effects on the acquisition performance of the matched filter is analyzed stochastically. The quantization is modeled as a series of saturation and digitization procedures, because the distortion due to the saturation is signal dependent and causes very different effects when compared with that of the, random, digitization noise. Numerical results are obtained to show the optimum saturaton limit of the quantizer for a given wordlength. This analysis can give a guide to low-cost and low-powr digital implementations and assurance of the system performance without intensive simulations.

• Proceedings of the KIEE Conference
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• 2001.07a
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• pp.386-388
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• 2001

The change of the electricity charge from cost base to price base due to the introduction of the electricity market competition causes consumer to choose a variety of charge schemes and a portion of loads to be affected by this change. Besides, it is required the index that consolidate the price volatility experienced on the power exchange with gaming and strategic bidding by suppliers to increase profits. Therefore, in order to find a mathematical model of the sensitively-responding-to-price loads, the price-sensitive load model is needed. And the development of state-of-the-art technologies affects the electricity price, so the diffusion of high-efficient end-uses and these price affect load patterns. This paper shows the analysis on learning curves algorithms which is used to investigate the correlation of the end-uses' price and load patterns.