• Proceedings of the Korea Information Processing Society Conference
• /
• 2019.10a
• /
• pp.585-588
• /
• 2019

Predictions of Energy Consumption for Industries gain an important place in energy management and control system, as there are dynamic and seasonal changes in the demand and supply of energy. This paper presents and discusses the predictive models for energy consumption of the steel industry. Data used includes lagging and leading current reactive power, lagging and leading current power factor, carbon dioxide (tCO2) emission and load type. In the test set, four statistical models are trained and evaluated: (a) Linear regression (LR), (b) Support Vector Machine with radial kernel (SVM RBF), (c) Gradient Boosting Machine (GBM), (d) random forest (RF). Root Mean Squared Error (RMSE), Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE) are used to measure the prediction efficiency of regression designs. When using all the predictors, the best model RF can provide RMSE value 7.33 in the test set.

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.8
• /
• pp.1-11
• /
• 2021

This paper proposes a novel mechanism called Event-driven Uncore Frequency Scaler (eUFS) to improve the energy efficiency of the HPC systems. UFS exploits the hardware events such as LAPI (Last-level Cache Accesses Per Instructions) and CPI (Clock Cycles Per Instruction) to dynamically adjusts the uncore frequency. Hardware events are collected at a reference time period, and the target uncore frequency is determined using the collected event and the previous uncore frequency. Experiments with the NPB benchmarks demonstrate that the eUFS reduces the energy consumption by 6% on average for class C and D NPB benchmarks while it only increases the execution time by 2% on average.

• The Korean Journal of Financial Management
• /
• v.26 no.3
• /
• pp.199-226
• /
• 2009

We examine the intertemporal relation between risk and return in the Korean stock market and foreign exchange market based on the two factor ICAPM framework. The standard GARCH model and the GJR(1993) model are employed to estimate conditional variances of the stock returns and foreign exchange rates. The covariance between the rates of stock returns and changes in the exchange rates are estimated by the constant conditional correlation model of Bollerslev(1990) and the dynamic conditional correlation model of Engle(2002). The multivariate GARCH in mean model and quasi-maximum likelihood estimation method, consequently, are applied to investigate riskreturn relation jointly. We find that the estimated coefficient of relative risk aversion is negative and statistically significant in the post-financial crisis sample period in the Korean stock market. We also show that the expected stock returns are negatively related to the dynamic covariance with foreign exchange rates. Both estimated parameters of conditional variance and covariance in the foreign exchange market, however, are not statistically significant. The GJR model is better than the standard GARCH model to estimate the conditional variances. In addition, the dynamic conditional correlation model has higher explanatory power than the constant correlation model. The empirical results of this study suggest following two points to investors and risk managers in hedging and diversifying strategies for their portfolios in the Korean stock market: first, the variability of foreign exchange rates should be considered, and second, time-varying correlation between stock returns and changes in foreign exchange rates supposed to be considered.

• Journal of Distribution Research
• /
• v.2 no.1
• /
• pp.183-195
• /
• 1997

The liberalization of Korean distribution market will undoubtedly lead to some erosion of market share of indigenous distributors in PC GMS(General Merchandising Store) & all the industries, but to our surprising, the benefits of rationalization of distribution, high qualities & low prices, strengthened competitiveness of indigenous retailers far outweigh the costs. The aim of this paper is to present some basic executive ideas for achieving a more global competitiveness in the 21st century. That is, successful market responsiveness in our distributors & firms will first of all require Dynamic Supply Chain Management at the base of information infrastructure to obtain the best competitive power. Secondly, in practical perspectives, distributors & firms needs to learn precise analysis on the basis of customer needs & wants as well as flexible thinking & proactive attitudes with respect to an freezing markets. In conclusions, win-win strategy in the competition for existence has to retain continuous & close relationship between cooperation and coordination.

• Proceedings of the KIEE Conference
• /
• 1999.07b
• /
• pp.883-886
• /
• 1999

Recently, with the development of computer technology, field instrument and control system using in industrial fields have changed from mechanical, electrical systems to digital electronic systems. Distributed control system(DCS), control functions are dispersed for grading up reliability and informations are combined fur effective management has been developed and sold. As this system has been enlarged and complicated, it is difficult to testing the system and very important to verifing functions systematically. In this report, function test procedure which is performed spontaneously by domestic or foreign DCS manufacturer was searched and analyzed. As its results, the test procedure of DCS functions were proposed. The proposed procedure was applied to DCS being used for a thermal power plant. The function test for DCS requires continuous and dynamic input/output signals, therefore we proposed the method to compose virtual plant which simulate the DCS functions with. And we suggested the test procedure of each DCS function.

• Korean System Dynamics Review
• /
• v.1 no.2
• /
• pp.61-89
• /
• 2000

The purpose of this study is first, to find out what factors affect the cooperation and trust within the functions in the policy implementation network and in what mechanism these factors interact, second to investigate the whys to manage trust and cooperation successfully in the dynamic situation such as the network setting. For these purpose, this study reviews the concept and characteristics of policy implementation organizations, second, extracts the various factors affecting trust and cooperation in the network situation, third applies and analyzes the relationship among factors to system dynamics model based on the game theory. The results of this study could be summarized as follows: It was found that the utility change within the participants by persuasion ＆ mutual understanding and change of rule would be leading to success in policy implementation network. Also bureaucratic management such as power enforcement does not have any good impact in the managing network. In this study, system simulation method tried to analyze the hypothesis. Quantitative and case analyses were not accompanied and analysis was limited to two-person game theory. So there is some doubt this results could be generalized to actual situation which is N-person game.

• Journal of Convergence Society for SMB
• /
• v.4 no.4
• /
• pp.19-23
• /
• 2014

Group communication is becoming increasingly popular in Internet applications such as videoconferences, online chatting programs, games, and gambling. For secure communications, the integrity of messages, member authentication, and confidentiality must be provided among group members. To maintain message integrity, all group members use the Group Key (GK) for encrypting and decrypting messages while providing enough security to protect against passive attacks. Tree-based Group Diffie-Hellman (TGDH) is an efficient group key agreement protocol to generate the GK. TGDH assumes all members have an equal computing power. One of the characteristics of distributed computing and grid environments is heterogeneity; the member can be at a workstation, a laptop or even a mobile computer. Member reordering in the TDGH protocol could potentially lead to an improved protocol; such reordering should capture the heterogeneity of the network as well as latency. This research investigates dynamic reordering mechanisms to consider not only the overhead involved but also the scalability of the proposed protocol.

• Proceedings of the Korean Information Science Society Conference
• /
• 2007.06b
• /
• pp.238-242
• /
• 2007

최근들어 휴대용 미디어 플레이어(Portable Media Player)와, 노트북 컴퓨터, PDA(Personal Data Assistant)의 사용이 늘어나면서 얼마나 오랜 시간동안 휴대용 장치를 사용하는가에 대한 문제가 큰 이슈로 떠오르고 있다. 그에 대해 많은 연구가 이루어져 있으며, 현재도 활발히 연구가 진행되고 있다. 본 논문에서는 프로세스 상태, 배터리 상태 그리고 응용프로그램 종류로 이루어진 상황을 고려한 동적 전력관리 시스템에 대해서 제안하고 그에 따른 세부적인 모듈에 관한 설명과 실험 결과를 보여준다. 실험결과 제안한 시스템을 적용하지 않았을 경우와 비교하여 약 14%의 전력 손실 감소 효과를 볼 수 있었다.

• Journal of the Korea Society for Simulation
• /
• v.1 no.1
• /
• pp.87-102
• /
• 1992

This paper presents the development of event-driven system level simulation tool SMPLE(Smpl Extende, an extention fo smpl) and its application to the performance analysis of multiprocessor computer systems. Because of its data structure, it is very difficult to change, expand or add new functions to simulation language smpl implemented by MacDougall. In SMPLE, we change data structure with structure and pointer, add new functions, and enable dynamic memory management. Using new data structure, facilities, and functions added in SMPLE, we simulate job processing of a shared bus multiprocessor system with autonomous hierarchical I/O subsystem. We set system performance contribution of subsystems and units. The impact of disk I/O on system performance is evaluated under vairous conditions of number of processors, processing power, memory access time and disk seek time.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2007.05a
• /
• pp.633-636
• /
• 2007

다양한 휴대용 정보 기기의 사용이 보편화됨에 따라 배터리 기반의 임베디드 시스템에서는 저전력 요구가 크게 대두되고 있다. 이에 본 논문은 Xscale PXA255 기반 Embedded Linux 환경에서 전력 소비를 줄이기 위해 DPM(Dynamic Power Management) 미들웨어를 설계 및 구현하고 이에 따른 디바이스 드라이버를 제작하여 임베디드 타겟보드의 전력을 감소시키는 방법을 보인다.