• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.1
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• pp.1-6
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• 2009

The traditional demand prediction was based on the technique wherein electric power corporations made monthly or seasonal estimation of electric power consumption for each area and subscription type for the next one or two years to consider both seasonally generated and local consumed amounts. Note, however, that techniques such as pricing, power generation plan, or sales strategy establishment were used by corporations without considering the production, comparison, and analysis techniques of the predicted consumption to enable efficient power consumption on the actual demand side. In this paper, to calculate the predicted value of electric power consumption on a short-term basis (15 minutes) according to the amount of electric power actually consumed for 15 minutes on the demand side, we performed comparison and analysis by applying a 15-minute interval prediction technique to the average and that to the time series analysis to show how they were made and what we obtained from the simulations.

• Proceedings of the KIEE Conference
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• 2006.07c
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• pp.1665-1666
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• 2006

TFT-LCD(Thin Film Transistor Liquid Crystal Display)는 표시장치로서 실용화된 후 많은 상품에 적용중이다. 그러나, LCD는 자체 발광능력이 없으므로 그후면에서 LCD 화면을 밝혀주는 BLU(Backlight Unit)를 필요로 한다. BLU는 내부 광원으로 밝기가 균일한 평면광을 만들어 LCD 화면을 균일하게 면조사하는 역할을 한다. LCD가 적용되는 분야중 Note PC에는 광원으로 CCFL(Cold Cathode Fluorescent Lamp)가 적용되어 왔지만, 최근 고휘도, 박형화, 저소비 전력을 달성하기 위해 CCFL로는 한계가 있어 LED(Light Emitting Diode)를 적용한 BLU를 제작하기 위한 연구가 진행되고 있다. 본 연구에서는 점광원인 LED 적용한 LED에 있어서 요구되는 휘도 균일성을 향상시키기 위해서는 LED광원이 적용된 BLU의 외관 품질 향상을 위한 도광판 입광부 구조 최적화를 광추적 Simulation을 통해 예측하고 향상시킬 수 있는 구조를 제안한다. Simulation결과, 외관품질 개선을 위해 도광판 입광면에 130도의 Serration과 휘도를 향상하기 위해 도광판 밑면에 렌즈 형상의 바 구조를 도출해 적용한 결과 외관품질향상과 휘도향상을 얻었다.

• Journal of the Korean Society of Industry Convergence
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• v.26 no.4_2
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• pp.657-668
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• 2023

It's important to note that air compressors in the industrial sector are major energy consumers, accounting for a significant portion of total energy costs in manufacturing plants, ranging from 12% to 40%. To address this issue, researchers have compared forecasting models that can predict the power consumption of air compressors. The forecasting models were designed to incorporate variables such as flow rate, pressure, temperature, humidity, and dew point, utilizing statistical methods, machine learning, and deep learning techniques. The model performance was compared using measures such as RMSE, MAE and SMAPE. Out of the 21 models tested, the Elastic Net, a statistical method, proved to be the most effective in power comsumption forecasting.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.3
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• pp.729-736
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• 2010

In this study, a magnetic stimulation (MS) device with controllable pulse forming technology and pulse shape (MS) is described. The MS device uses an IGBT with appropriate snubbers to switch coil currents up to 6 kA, enabling pulse forming technology control from 5 s to over 100 s. The induced electric field pulses use 2% - 34% less energy and generate 57% - 67% less coil heating compared to matched conventional cosine pulses. MS is used to stimulate rhesus monkey motor cortex in vivo with pulse forming technology of 20 to 100 s, demonstrating the expected decrease of threshold pulse amplitude with increasing pulse forming technology. The technological solutions used in the MS prototype can expand functionality, and reduce power consumption and coil heating in MS, enhancing its research and therapeutic applications.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2000.05a
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• pp.205-209
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• 2000

Modem wireless communication equipments provides various multimedia and aims at the development of low-power, minimum size and weight, and low-cost implimentations. Because of the heterodyne architecture which was invented many decades ago in the wireless communication system using too many components, it was difficult to make it small, compact and On-Chip so it does not proper for future communication. That gives rise a new developing architecture, so called, Direct Conversion. Because The Direct Conversion down-converts the wireless frequency band to baseband directly, it does not need using additive components and has a merit of reduction in power dissipation. We describes the Direct Conversion architecture and DC-Offset, which must be solved, theorectically and predicts system performance enhancement when adopt the AC-Coupling method.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.25 no.7
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• pp.757-766
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• 2014

In this paper, economic loss due to high power electromagnetic pulse is estimated and the methodology used for calculating its impacts is suggested using a macro approach. In order to investigate the most critical infrastructure for the high power electromagnetic pulse assault, the vulnerability assessment that provides information on the threats of concern is conducted. As a result, this study concentrates on the electric power networks. The presented assessment model is considered with gross domestic product (GDP) and energy consumption when the electric power networks are damaged due to high power electromagnetic pulse. In addition, economic losses are calculated by the extent of damages considering different types of the high power electromagnetic pulse assault generated by nuclear and man-made weapon. Through the estimation of these damages, the resulted economic loss will be compared with the protection cost. Consequently, protection of the vulnerable infrastructures can be prepared against electromagnetic pulse attack.

• Journal of Sensor Science and Technology
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• v.6 no.4
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• pp.337-345
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• 1997

The micro heater with PSG/$Si_{3}N_{4}$ diaphragm and platinum heater pattern was designed for micro-gas sensor fabrication. The platinum heater and the platinum electrode for sensing layer were designed on the same plane and fabricated in the single photolithography process. The thermal analyses including temperature distribution over the diaphragm and power consumption of the heater were carried by finite element method. The thermal properties of the microsensor with both heater and sensing electrode on the same plane was compared with that of the typical microsensor which had the structure of sensing layer/insulator/heater on the diaphragm.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.44 no.5
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• pp.12-19
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• 2007

This paper presents an ASIP(Application Specific Instruction Set Processor) for implementation of H.264/AVC, called VSIP(Video Specific Instruction-set Processor). The proposed VSIP has novel instructions and optimized hardware architectures for specific applications, such as intra prediction, in-loop deblocking filter, integer transform, etc. Moreover, VSIP has hardware accelerators for computation intensive parts in video signal processing, such as inter prediction and entropy coding. The VSIP has much smaller area and can dramatically reduce the number of memory access compared with commercial DSP chips, which result in low power consumption. The proposed VSIP can efficiently perform in real-time video processing and it can support various profiles and standards.

• Journal of Korean Society of Environmental Engineers
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• v.39 no.6
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• pp.356-370
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• 2017

The energy savings and $CO_2$ emission reductions obtainable from the situation that the Smart Grid system (SGs) is assumed to be applied in Korea up to 2030 is quantitatively analyzed with many reported data. For calculation, SGs is divided into five sectors such as Smart Transmission and Distribution (ST&D), Smart Consumer (SC), Smart Electricity Service (SES), Smart Renewable Energy (SRE) and Smart Transportation (ST). Total annual energy savings in 2030 is estimated to be approximately 103,121 GWh and this is 13.1% of total electricity consumption outlook. Based on this value, total amount of reducible $CO_2$ emissions is calculated to 55.38 million $tCO_2$, which is 17.6% of total nation's GHG reduction target. Although the contribution of energy saving due to SGs to total electricity consumption increases as years go by, that of $CO_2$ emission reduction gradually decreases. This might be because that coal fired based power generation is planned to be sharply increased and the rate of $CO_2$ emission reduction scheduled by nation is very fast. The contributable portion of five each sector to total $CO_2$ emission reductions in 2030 is estimated to be 44.37% for SC, 29.16% for SRE, 20.12% for SES, 5.11% for ST&D, and 1.24% for ST.

• KIPS Transactions on Computer and Communication Systems
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• v.4 no.6
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• pp.185-196
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• 2015

Energy aware server clusters aim to reduce power consumption at maximum while keeping QoS(Quality of Service) compared to energy non-aware server clusters. They adjust the power mode of each server in a fixed or variable time interval to let only the minimum number of servers needed to handle current user requests ON. Previous studies on energy aware server cluster put efforts to reduce power consumption further or to keep QoS, but they do not consider energy efficiency well. In this paper, we propose an energy efficient cluster management based on autonomous learning for energy aware server clusters. Using parameters optimized through autonomous learning, our method adjusts server power mode to achieve maximum performance with respect to power consumption. Our method repeats the following procedure for adjusting the power modes of servers. Firstly, according to the current load and traffic pattern, it classifies current workload pattern type in a predetermined way. Secondly, it searches learning table to check whether learning has been performed for the classified workload pattern type in the past. If yes, it uses the already-stored parameters. Otherwise, it performs learning for the classified workload pattern type to find the best parameters in terms of energy efficiency and stores the optimized parameters. Thirdly, it adjusts server power mode with the parameters. We implemented the proposed method and performed experiments with a cluster of 16 servers using three different kinds of load patterns. Experimental results show that the proposed method is better than the existing methods in terms of energy efficiency: the numbers of good response per unit power consumed in the proposed method are 99.8%, 107.5% and 141.8% of those in the existing static method, 102.0%, 107.0% and 106.8% of those in the existing prediction method for banking load pattern, real load pattern, and virtual load pattern, respectively.