• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2001.10a
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• pp.113-116
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• 2001

In this paper, a new multicasting scheduling is proposed for WDM single-hop broadcast network. The main idea of traditional multicast scheduling algorithms is partitioning the multicast group into several subgroups to reduce the delay time after receiving previous message. Those partitioning algorithms are grouping method of receivers already tuned to transmitters wavelength. However, multicast scheduling shows better performance by considering the previous status of receivers. Thus, in this paper, a new subgrouping method is proposed to minimize delay through collecting the current status of receivers. This method is operated by using the tunable transceiver in WDM single hop broadcasting network and uses fixed control channel for collecting the status of receivers. In addition, we analyzed the performance of proposed method through the computer simulation and then compared with existing multicast scheduling algorithm.

• Korean Chemical Engineering Research
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• v.49 no.4
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• pp.470-474
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• 2011

Rice straw is the main grain straw and is produced in large quantities every year in Korea. Pretreatment of lignocellulosic biomass using soaking process was carried out mild conditions at atmospheric pressure and temperature of $60^{\circ}C$. We found enzymatic hydrolysis condition of pretreated biomass. In case of a rice straw, compared with previous lignocellulosic biomass, we found that hydrolysis time was a shorter than others. Hydrolysis of SAA-treated rice straw has shown conversion rate was higher at $50^{\circ}C$. Hydrolysis was ended between 40~48 hour. Glucose conversion rate was higher when enzyme loading is 65 FPU/ml and 32 CbU/ml. When substrate concentration was 5%(w/v), it was that conversion rate was 83.8% after hydrolysis for 72 hr. In simultaneous saccharification and fermentation(SSF) experiment about SAA-treated rice straw, ethanol productive yield was highest from $40^{\circ}C$. The yield of that time was 33.05% from 48 hour.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07a
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• pp.763-765
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• 2005

DVS(dynamic voltage sealing)은 이동형 프로세서에서 에너지 효율을 높이기 위한 필수 요소로 자리 잡고있다. DVS를 효과적으로 사용하기 위해선 대상 태스크의 특성과 하드웨어 특성에 맞는 DVS 알고리즘이 필요하다. 상품화 수준의 않은 운영체계들이 일정한 인터벌(interval)을 바탕으로 시스템 사용 상황을 분석하여 목표 성능을 결정하는 방식을 사용하고 있다. 이러한 방식은 태스크의 특성이 갑자기 변하여 성능을 요구할 경우 인터벌만큼의 시간이 진행된 후에야 반응 한다는 단점이 있다. 또한, 태스크 별 특성이 아닌 시스템 전체의 특성을 따르므로 이질적인 성격의 태스크들이 동시에 실행 되는 환경에는 적합하지 않다. 최근의 모바일 프로세서들은 수 마이크로초 수준의 성능 전환 시간을 제공하고 있으며 이 속도는 계속 줄어들고 있다. 프로세서의 고성능화로 인해 I/O 작업의 경우 프로세서 성능에 따른 실행 시간의 차이가 존재 하지 않는다. 이러한 두 가지 특성을 바탕으로 우리는 TIB(timer interrupt based) 알고리즘을 제안한다. TIB 알고리즘은 일정한 길이의 인터벌 대신 타임 슬라이스(time slice)를 성능 결정의 단위로 삼는다. 성능의 결정은 태스크 별로 이루어지며 각 태스크가 사용했던 이전 타임 슬라이스가 타이머 인터룹트(timer interrupt)에 의해 끝났다면 최대의 성능을 그 외의 경우는 최저의 성능으로 실행하게 된다. 이러한 접근 방식을 통해 I/O 작업이나 이벤트를 기다리는 태스크에 대해 최저 성능을 제공함으로써 실행 시간의 적은 손해를 대가로 많은 에너지 절감을 이룰 수 있다. 또한, 태스크의 속성이 변한 경우 타임 슬라이스 길이 만큼의 지체만을 허용하게 된다. 이러한 TIB 인터벌에 기반한 알고리즘에 비해 개별 태스크의 특성에 따른 성능 조절과 태스크의 변화에 따른 빠른 반응을 자랑으로 한다. 본 논문에선 TIB 알고리즘을 리눅스 커널에 구현하여 성능을 평가하였고 그 결과 리눅스에서 사용되는 기존 인터벌 기반의 알고리즘들에 비해 좋은 전력 절감 효과를 얻을 수 있었다.

• Journal of KIISE:Databases
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• v.36 no.1
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• pp.30-43
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• 2009

Broadcast in the wireless environment has drawn much attention because it is capable of sending data to clients regardless of the number of clients. Most previous researches have aimed at obtaining an independent data item in a minimum time. But, they have not been researched on simultaneously receiving dependent data items in a query. In addition, these papers have only researched allocation problem that have not been came out data items in a query in same time and different channels. The access probability of each data item based on query request probability have not been reflected. This paper proposes a new method of allocating data items and simultaneously minimizing average response time required in receiving all the dependent data items in a query. Our performance analysis shows that our proposed method gives better average response time over the existing methods.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.11
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• pp.2131-2136
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• 2016

Before Industry 4.0, a purpose of manufacturing processes is simply overcoming the weakness of product line. However, Industry 4.0 should determine its method of work of facilities' own accord. Manufacturing processes such as FMS, AMS, MAS have been developed in these procedures, but there are possibilities of deadlock that can be happened for the reason of machine, agent or resource sharing. There were many studies to solve this problem. However, studies about prevention of deadlock happened in the situation that manufacturing processes are reconfigured dinamically because of human's intervention are incomplete. This paper proposes the model of the situation reconfigured dinamically and the method to prevent the deadlock in this situation. The proposed method adjusts production and manufacturing time by broadcasting time error messages to machines around when the manufacturing time of machine intervened by human is changed. Through this, it is anticipated to prevent the deadlock if conditions of the product line are changed.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.382-382
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• 2018

최근 기후변화 및 도시화로 인해 집중호우와 도시 내의 불투수층이 증가하고 있으며, 현재 도심의 강우관리시스템이 한계에 달하여 수재해 피해가 급증하고 있다. 이와 같은 문제를 해결하기 위한 방안으로 저영향개발 기법이 대두되고 있으며, 본 기법은 해당 지역의 강우를 분산식 빗물처리 하여 도시 내의 수문학적 특성을 개발이전 상태로 회복 및 유지하는 기술이다. 저영향개발 기법의 종류는 투수성 포장, 옥상녹화, 빗물정원, 식생저류지, 식생화분 등이 있다. 본 연구에서는 저영향개발 기법 중 하나인 투수성 아스팔트에 대한 우수저감 효과를 분석하기 위해 경상남도 양산시 부산대학교 양산캠퍼스 그린인프라 저영향개발 센터에서 주차장형 LID 시설의 투수성 아스팔트 포장과 대조군인 불투수 콘크리트 포장을 실험대상으로 선정하였다. 포장체는 $10.85m(L){\times}2.3m(B){\times}0.9 m(H)$의 크기로 원지반 침투가 없는 박스형 실험시설로써 이동형 강우모의장치를 이용하여 인공강우실험을 실시하였다. 강우모의 시에 발생하는 지표유출 및 침투유출은 각 유공관을 통해 모니터링 박스에 차집되어 실시간으로 웹사이트 상에 저장된다. 저장된 자료를 이용하여 투수성아스팔트의 첨두유출량 저감, 지체시간지연효과를 분석하였다. 분석된 결과를 통해 첨두유출량은 11%저감되었고 투수성 아스팔트와 불투수 콘크리트는 각각 3시간, 1시간 동안 유출되어 2시간의 차이를 보여준다.

• Journal of the Korea Society of Computer and Information
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• v.27 no.5
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• pp.29-36
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• 2022

In this paper, we propose an efficient agricultural products price prediction model based on dataset which provided in DACON. This model is XGBoost and CatBoost, and as an algorithm of the Gradient Boosting series, the average accuracy and execution time are superior to the existing Logistic Regression and Random Forest. Based on these advantages, we design a machine learning model that predicts prices 1 week, 2 weeks, and 4 weeks from the previous prices of agricultural products. The XGBoost model can derive the best performance by adjusting hyperparameters using the XGBoost Regressor library, which is a regression model. The implemented model is verified using the API provided by DACON, and performance evaluation is performed for each model. Because XGBoost conducts its own overfitting regulation, it derives excellent performance despite a small dataset, but it was found that the performance was lower than LGBM in terms of temporal performance such as learning time and prediction time.

• Journal of Advanced Navigation Technology
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• v.27 no.6
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• pp.871-876
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• 2023

In this paper, we deal with the stable conditions when two uncertainties exist simultaneously in a linear discrete time-varying interval system with time-varying delay time. The interval system is a system in which system matrices are given in the form of an interval matrix, and this paper targets the system in which the delay time of these interval system matrices and state variables is time-varying. We propose the system stability condition when there is simultaneous unstructured uncertainty that includes nonlinearity and only its magnitude and uncertainty in the system matrix of delayed state variables. The stable bounds for two types of uncertainty are derived as an analytical equation. The proposed stability condition and bounds can include previous stability condition for various linear discrete systems, and the values such as time-varying delay time variation size, uncertainty size, and range of interval matrix are all included in the conditional equation. The new bounds of stability are compared with previous results through numerical example, and its effectiveness and excellence are verified.

• Food Science and Preservation
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• v.20 no.6
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• pp.810-817
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• 2013

This study investigated the properties of rice snack puffed in a microwave oven after drying its dough according to Baekjinju soaking time and additional soybean milk. The optimum conditions for the non-fried rice snack using Baekjinju wetted flour were determined through the design of an experiment using response surface methodology. The independent variables were the Baekjinju soaking time and the additional soybean milk, and the dependent variables were the weight, volume, density, expansibility, Hunter's color value, hardness, and sensory properties. The quadratic model was chosen for the weight, density, expansibility, b value, and hardness. The two-factor interaction model was chosen for the volume, flavor, appearance, and overall preference. The linear model was chosen for the L value, taste, and texture. The weight was increased to longer than 11.26 days with the increase in the rice soaking. The volume, expansibility, L value, and b value increased with the increase in the rice soaking time and in the additional soybean milk ratio. However, the density was decreased was in reverse. The hardness increased most, with the rice soaking time rising from 5.28 to 8.53 days and the soybean milk additional ratio increasing from 5.34 to 20.26%. The sensory properties improved as rice soaking time decreased, and the soybean milk additional ratio was revered. As for the desirability, the optimal formulation of the dough of non-fried rice snack was achieved by mixing 200 g of Baekjinju flour with a 0.69 days rice soaking time and a 26.67% soybean milk of rice ratio according to weight.

• Korean Journal of Environment and Ecology
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• v.28 no.4
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• pp.411-418
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• 2014

This study seeks to identify the effects of light pollution and environmental factors on Great Tits(Parus major) bird's chirping at dawn. For this research, the campus of Sanji University, Wonju, South Korea was selected as the area with light pollution and the western forest of the Chiaksan National Park was chosen as the natural area herein. The Recording period was between March 26th and May 30th, 2014. As a result of analyzing the chirping time according to light pollution, it was found that the light pollution area clearly showed earlier chirping time than the natural area (p<0.05). Great Tits(P. major) normally start their first chirping before sunrise and in most of the days under investigation of this research, those in Sanji University started to chirp earlier. This faster chirping time seems to improve the chance for the female birds to mate with immature males thus, baby birds hatch earlier than the appropriate breeding season and results in the lack of feed resources. The correlation between Great Tits'(P. major) dawn chirping and environmental factors were investigated herein including the time of sunrise, civil twilight, navigation twilight, astronomical twilight, average temperature, highest temperature, lowest temperature, time of moonrise and cloudiness. The first chirping time of wild birds in the day was found to have correlations with all of the environmental factors excluding the time of moonrise and cloudiness. Great Tits(P. major) started their first chirping before sunrise when the day started to break around civil twilight. Along with the earlier sunrise and higher air temperature, their dawn chirping time was also quickened. The time of moonrise and cloudiness did not show a correlation and further follow-up studies will be necessary in this regard.