• Journal of the Optical Society of Korea
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• v.8 no.1
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• pp.13-16
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• 2004

A widely tunable SG-DFB (Sampled Grating Distributed Feedback) laser diode is proposed and its feasibility is confirmed through simulation. The new SG-DFB laser diode is composed of a pair of sampled gratings, some parts of which are gain sections and the other parts of which are phase control sections. It is shown that a few tens of nanometers can be tuned through the adjustment of two currents into the phase control sections. Higher output power is expected compared with a SG-DBR laser diode with similar parameters. The dynamic single mode operation is also observed in the time-domain simulation.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 1995.11a
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• pp.153-165
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• 1995

When an automatic course-keeping is introduced as is quite popular in modern navigation the closed-loop steering system consists of autopilot device power unit(or telemotor unit) steering gear ship dynamics and magnetic or gyro compass. We derive the mathematical model of each element of the automatic steering system. We provide a method of theoretical analysis on propulsive energy loss related to automatic steering of ships inthe open seas taking account of the on-off mechanism of power unit. Also we paid attention to dead band mechanism of autopilot device which is normally called weather adjustment. Next we make numerical calculation of the effects of autopilot control constants ont he propulsive energy loss for two kinds of ship a fishing boat and an ore carrier. Realistic sea and wind disturbances are employed in the calculation.

• Proceedings of the KIEE Conference
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• 1996.07b
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• pp.1060-1062
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• 1996

This paper presents a discrete adaptive observer for MIMO system of an IM model in DQ reference model. The IM model in the stationary frame is discretized and it is transformed into the canonical observer form. The unknown parameter is choosen as rotor speed. The adaptive law for parameter adjustment is obtained as a set of recursive equations which are derived by utilizing an exponentially weighted normalized least-square method. The proposed adaptive observer converges rapidly and is also shown to track time-varying plant parameter quickly. Its effectiveness has been demonstrated by computer simulation.

• Journal of Power Electronics
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• v.11 no.3
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• pp.319-326
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• 2011

Nowadays numerous research projects are being conducted in the field of electric motors. Non-modeling of flexible connections such as couplings and the belt-pulley do not show some real behaviors. With an increase in the number of connections and drive factors, these Non-modeled modes become more important. The coupling of two electric motors, instead of one motor, in submarine propeller force is an obvious example which shows that Non-modeled vibration modes caused by flexible connections can disturb controller operation and make undesirable vibrations in the submarine body. In this paper a dynamic model of flexible connections and a completed dynamic model of two different coupled electric models is presented. A robust controller for the completed model is also amended so that the two controlling targets of a desired speed adjustment and an appropriate load division between the two motors with sufficient accuracy are achieved.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.12
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• pp.2202-2211
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• 2010

The wind power prediction system is composed of a meteorological forecasting module, calculation module of wind power output and HMI(Human Machine Interface) visualization system. The final information from this system is a short-term (6hr ahead) and mid-term (48hr ahead) wind power prediction value. The meteorological forecasting module for wind speed and direction forecasting is a combination of physical and statistical model. In this system, the WRF(Weather Research and Forecasting) model, which is a three-dimensional numerical weather model, is used as the physical model and the GFS(Global Forecasting System) models is used for initial condition forecasting. The 100m resolution terrain data is used to improve the accuracy of this system. In addition, optimization of the physical model carried out using historic weather data in Jeju. The mid-term prediction value from the physical model is used in the statistical method for a short-term prediction. The final power prediction is calculated using an optimal adjustment between the currently observed data and data predicted from the power curve model. The final wind power prediction value is provided to customs using a HMI visualization system. The aim of this study is to further improve the accuracy of this prediction system and develop a practical system for power system operation and the energy market in the Smart-Grid.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37A no.9
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• pp.762-771
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• 2012

In this paper, we propose an adaptive power control scheme employing a self-optimization concept in femtocell systems, in order to improve system capacity, thereby reducing call-drop probability. In the proposed scheme, each femto base station(FBS) controls individual channel's transmission power base on two parameters; the neighboring cell's transmission power for each individual channel which is delivered from a femto-gateway and the received power strength from neighboring cells which is periodically measured by means of a spectrum sensing. Adaptive adjustment of individual channel's transmission power in accordance with femto mobile station(FMS) mobility features can also reduce undesirable handovers and evenly distribute traffic load over all femtocells. In addition, the manipulative control of channel's transmission power is able to keep the system coverage and the call-drop probability within an acceptable range, regardless of density of femtocells. Computer simulation shows that the proposed scheme outperforms existing schemes in terms of the system coverage and the call-drop probability.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.3
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• pp.55-61
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• 2024

In a hybrid architecture that combines the technological advantages of P2P(peer-to-peer) and cloud computing, it is possible to efficiently supply resources and allocate loads. In other words, by appropriately utilizing the processing power of the players constituting P2P as well as the server in the cloud computing environment, MMOG(Massively Multiplayer Online Game) can be configured that considers the scale of economic cost and service quality. In fact, the computing power and communication bandwidth of servers in the cloud are important demand-based resources. The more it is used when renting, the higher the cost, while the quality of service improves. On the other hand, if the player's processing power is utilized a lot, the quality of service deteriorates relatively while the economic cost decreases. In this paper, a bandwidth adjustment technique between servers and players for MMOG based on this hybrid structure is described. When the number of players running at the same time increases, the players' actions are appropriately distributed to servers and players to effectively utilize the server's computing power and communication volume. Simulation results show that in the MMOG based on cloud and P2P hybrid architecture, the bandwidth of the server is proportionally decreased as the bandwidth directly handled by players is increased.

• Journal of Arbitration Studies
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• v.28 no.1
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• pp.125-151
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• 2018

Rapid industrial growth based on massive fossil fuel energy consumption has caused serious damages on natural environment and every aspects of human life. As demands for clean and pleasant living circumstance increases, conflicts and disputes around environmental problems have also been widespread. Given the 'environmental rights' is a relatively new legal concept, however, resolving environmental disputes through the traditional legal principles and litigation procedures could be restrictive and, in some sense. inefficient as well as expensive. With efforts to develop new legal principles on environmental disputes, the environmental dispute adjustment system has been introduced as an alternative dispute resolution to the traditional legal dispute procedures. The Korean Environmental Dispute Resolution Commission introduced as the environmental dispute adjustment system has been well established for the past twenty-seven years, given the steadily increasing numbers of applications to the Commission over environmental disputes. However, as most cases are still small in money terms and mainly subject to adjudication, the effectiveness and practical contribution of the Commission in the resolution of environmental disputes have in fact been limited. For the enhancement of the status and roles of the Commission as the prior instrument of the alternative dispute resolution(ADR) in environmental disputes, several suggestions could be considered as follows: First, mediation needs to be more activated than adjudication in order to meet the primary purpose of ADR that resolves environmental disputes according to free will of concerned parties. Second, the scope of mediation could be expanded to the areas including potential environmental damages. Third, the roles and responsibilities of the Environmental Dispute Resolution Commissions at both central and local levels need to be evenly distributed. Fourth, the mechanism and procedures of environmental dispute resolution should be standardized. Fifth, the status of the Environmental Dispute Resolution Commission could be elevated in rank by shifting its current affiliation from the Ministry of Environment to the Office of Prime Minister. Sixth, the organizational structure and human resources of the Commission need to be reinforced. Seventh, the current situation that tends to give priority to litigation procedures when an environment dispute is simultaneously pending in litigation and mediation should be eased and properly adjusted. Eighth, the adoption of mandatory mediation in advance to litigation needs to be discussed. Ninth, the legal authority of the Commission's decisions should be further guaranteed. If above suggestions are thoroughly reviewed and properly adopted, the roles, authority and power of the Environmental Dispute Resolution Commission would be increased in the era when environmental conflicts get widespread, requiring an effective alternative environmental dispute resolution mechanism.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.11
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• pp.314-323
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• 2019

This study examined the factors affecting clinical practice adaptation to provide basic data for the improvement of clinical practice adaptation for the first year of clinical practice. The subjects were 153 nursing students and medical students in G-do. Data were collected from April 1 to April 30, 2019, and analyzed using a t-test, ANOVA, Pearson correlation coefficient, and multiple regression using IBM SPSS WIN/21.0. The mean of college adjustment, character, interpersonal competence, communicative competence, and clinical practice adaptation was 3.37 points, 3.82, 3.61, 3.56, and 3.54, respectively. Clinical practice adaptation was related to college adjustment, character, interpersonal competence, and communicative competence (p<.001). The most influential factor in clinical practice was interpersonal competence (β=.502, p<.001), followed by department adaptation (β=-.215, p<.001) and college adjustment (β=.174, p=.010), respectively. The explanatory power was 41.1% (F=34.11, p<.001). Therefore, a way to improve interpersonal competence is needed to advance clinical practice adaptation. In the character building program for adjustment to college life, systematic education is needed, including the opportunity to think about and understand oneself, continuous meeting to understand and accept others. In addition, repeated communication training to improve interpersonal competence is needed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.126-136
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• 2018

The purpose of this study was to develop a severity-adjustment model for predicting mortality in acute stroke patients using machine learning. Using the Korean National Hospital Discharge In-depth Injury Survey from 2006 to 2015, the study population with disease code I60-I63 (KCD 7) were extracted for further analysis. Three tools were used for the severity-adjustment of comorbidity: the Charlson Comorbidity Index (CCI), the Elixhauser comorbidity index (ECI), and the Clinical Classification Software (CCS). The severity-adjustment models for mortality prediction in patients with acute stroke were developed using logistic regression, decision tree, neural network, and support vector machine methods. The most common comorbid disease in stroke patients were hypertension, uncomplicated (43.8%) in the ECI, and essential hypertension (43.9%) in the CCS. Among the CCI, ECI, and CCS, CCS had the highest AUC value. CCS was confirmed as the best severity correction tool. In addition, the AUC values for variables of CCS including main diagnosis, gender, age, hospitalization route, and existence of surgery were 0.808 for the logistic regression analysis, 0.785 for the decision tree, 0.809 for the neural network and 0.830 for the support vector machine. Therefore, the best predictive power was achieved by the support vector machine technique. The results of this study can be used in the establishment of health policy in the future.