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Techniques for Classifying and Specificatying Components based on Six Views (6 View기반 컴포넌트 분류 및 명세 기법)

  • Cho, Eun-Sook;Lee, Jong-Kook;Kim, Soo-Dong
    • Journal of KIISE:Software and Applications
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    • v.29 no.7
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    • pp.487-497
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    • 2002
  • As component-based reuse technology is being introduced, software components are more likely distributed on Internet. In order to promote Internet based on-line distribution, distribution model of components should be defined and a distribution system should also be constructed. Furthermore, to run the component distribution system effectively, a logical and practical schema for classifying components should be defined and standardized. In this paper, we propose a classification schema using BNF and representation standards of components using six different views. To verity the effectiveness of proposed classification and compare to other classification methods, we assess proposed classification by measuring hit ratio and correctness. By using the proposed methods that support six views on components, the search for right components and registering new components can be done more effectively.

유비쿼터스 컴퓨팅 황경에서 발생하는 에이전트간 충돌 해결 모델

  • 이건수;김민구
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2004.11a
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    • pp.249-258
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    • 2004
  • 오늘날 활발하게 이루어지고 있는 유비쿼터스 컴퓨팅 관련 기술 연구는 사용자가 시간과 장소에 구애받지 않고 네트워크에 접근해 다양한 컴퓨터 관련 서비스를 제공 받을 수 있는 방법에 초점을 맞추고 있다. 이 처럼 시간과 공간의 한계를 뛰어 넘은 네트워크로의 자유로운 접근은 일상 생활의 패러다임을 바꾸어 놓게 될 것이다. 유비쿼터스 컴퓨팅 기술을 통해 가장 큰 변화가 일어나는 분야는 일반 가정환경에서 일어나는 인텔리전트 홈 네트워크 (Intelligent Home Network) 라고 할 수 있다. 집에 들어오면, 자동으로 문을 열어주고, 불을 켜주며, 놓쳤던 TV 프로그램을 자동으로 녹화해 놓았다가 원하는 시간에 보여주고, 적당한 시간에 목욕물을 미리 받아준다. 또한 집밖으로 나가기 전, 일기예보에 따라 우산을 챙겨주고, 일정을 확인시켜주며 입고 나갈 옷을 골라줄 수도 있다. 이 모든 일들이 유비쿼터스 컴퓨팅 기술이 가져올 인텔리전트 홈 네트워크의 모습이다. 그러나, 모든 사용자에게 효과적인 서비스를 제공하기 위해서는 홈 네트워크 상의 자원 관리에서 일어날 수 있는 에이전트들간의 자원 접근 권한 충돌을 효율적으로 방지할 수 있는 기술이 필요하다. 유비쿼터스 컴퓨팅 환경에서 자원관리 특성은 점유의 연속성, 자원 사이의 연관성, 그리고 자원과 사용자 사 사이의 연계성의 3 가지 특성을 지니고 있다. 본 논문에서는 유비쿼터스 컴퓨팅 환경에서 일어날 수 있는 자원 충돌 상황을 효율적으로 처리하기 위한 자원 협상 방법을 제안한다. 본 방법은 자원 관리 특성을 바탕으로 시간논리에 기반을 둔 자원 선점과 분배 규칙으로 구성된다.트 시스템은 b-Cart를 기반으로 할 것으로 예측할 수 있다.타났다. 또한, 스네이크의 초기 제어점을 얼굴은 44개, 눈은 16개, 입은 24개로 지정하여 MER추출에 성공한 영상에 대해 스네이크 알고리즘을 수행한 결과, 추출된 영역의 오차율은 각각 2.2%, 2.6%, 2.5%로 나타났다.해서 Template-based reasoning 예를 보인다 본 방법론은 검색노력을 줄이고, 검색에 있어 Feasibility와 Admissibility를 보장한다.매김할 수 있는 중요한 계기가 될 것이다.재무/비재무적 지표를 고려한 인공신경망기법의 예측적중률이 높은 것으로 나타났다. 즉, 로지스틱회귀 분석의 재무적 지표모형은 훈련, 시험용이 84.45%, 85.10%인 반면, 재무/비재무적 지표모형은 84.45%, 85.08%로서 거의 동일한 예측적중률을 가졌으나 인공신경망기법 분석에서는 재무적 지표모형이 92.23%, 85.10%인 반면, 재무/비재무적 지표모형에서는 91.12%, 88.06%로서 향상된 예측적중률을 나타내었다.ting LMS according to increasing the step-size parameter $\mu$ in the experimentally computed. learning curve. Also we find that convergence speed of proposed algorithm is increased by (B+1) time proportional to B which B is the number of recycled data b

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Cold-hardiness Tetraploid Induced by Colchicine Treatment in Mulberry Seedings(Morus alba L. Yongchonppong/Kaeryanppong) (지배실생(용천뽕/개량뽕)의 생장점에 Colchicine 처리로 창성한 내동성계 4배체뽕)

  • 박광준
    • Journal of Sericultural and Entomological Science
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    • v.36 no.1
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    • pp.1-7
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    • 1994
  • Four tetraploid mulberry lines, Sawonppon No.11, No.13 and No.14, were induced by the colchicine treatment on the shoot tips of seedlings originated from the cross between Yongchonppong and Kaeryanppong. The major characteristics of the tetraploid lines were as follows: Green tip sprouting stage was similar to Kaeryanppong, a medium budding variety. Leaves were medium- to large-sized cordate type. Leaf surface was rougher and stronger than that of the diploid parents. Leaf thickness, leaf area weight and leaf water content were higher than those of the diploid parents. Average branch length was shorter than that of the diploid parents. Internode length and number of lateral branches were similar to the average values of the two parents. Death atop rate of branch was 1.6%~2.5% indicating strong cold-hardiness of the tetraploid lines. Therefore, these lines could be used as sources of cold-hardiness in developing triploid lines.

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Analysis of GPGPU Performance by dedicating L2 Cache for Texture Data (텍스쳐 데이터를 위한 2차 캐쉬 구조를 가지는 그래픽 처리 장치의 성능 분석)

  • Kim, Gwang Bok;Kim, Cheol Hong
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2017.01a
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    • pp.143-144
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    • 2017
  • 최근 그래픽 처리 장치는 DRAM에 대한 접근을 줄이고자 여러 메모리 계층을 사용하고 있다. GPGPU의 L2 캐쉬는 요청 데이터의 타입에 따라 별도로 접근하는 L1 메모리와 다르게 레이턴시가 긴 DRAM에 접근하기 전에 모든 데이터 타입이 접근 가능한 캐쉬이다. 본 논문에서는 애플리케이션에서 명시하는 다양한 데이터 타입에 대하여 접근 및 적재를 허용하는 L2 캐쉬를 오직 텍스쳐 데이터만을 허용하도록 하여 변화하는 성능을 분석하고자 한다. 본 실험을 위해 텍스쳐 데이터 이외의 데이터 타입은 L2 캐쉬를 바이패스하여 바로 DRAM에 접근하도록 구조를 변경한다. 실험을 통한 분석 결과 텍스쳐 데이터만을 허용하는 경우 대부분의 벤치마크에서 성능 감소가 발생하여 기존 구조대비 평균 5.58% 감소율을 확인하였다. 반대로, 본 논문의 실험 환경에서의 L2 캐쉬의 적중률이 낮은 애플리케이션인 needle은 불필요한 L2 접근을 바이패스 함으로써 전체적인 성능 증가를 이끌어낸 것으로 분석된다.

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Effects of Plant Spacing on Light Environment, Yield and Quality of Burley Tobacco (Burley종의 재식거잡가 광환경, 수량 및 품종에 미치는 영향)

  • 배성국;임해건
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.26 no.2
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    • pp.212-217
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    • 1981
  • The evaluate the effect of plant spacing on cured leaf of burley tobacco, the row spacings divided to 90, 105, 120cm and hill spacings to 30, 35, 40cm within each row. Growth amount per plant increased with thinner row and wider hill spacing in the same planting density. Relative light intensity increased with thinner row spacing in cutters and leaf and showed the positive correlation with quality. When the planting density was equal, the wider hill spacings, the more effective in utillization of solar radiation. The more plants per l0a were, the greater yield was obtained, and in the case of 3,200 plants per 10a (the most dense planting plot) was 267kg. But, quality, total-alkaloid and total-nitrogen content decreased with dense planting. Value per 10a was highest in the plots of 90 $\times$ 40cm and $105{\times}40cm$. In conclusion the optimum density level was 2,400 to 2,700 plants per 10a and spacing of tobacco either in 105 $\times$ 35 cm or 105 $\times$ 40cm seems to be most appropriate.

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The Experimental Study on the Plaster mortar using Recycled fine aggregate (순환잔골재를 사용한 미장용 모르타르에 관한 실험적 연구)

  • Lee, Dae-Geun;Han, Sang-Il;Choi, Duck-Jin;Kang, Cheol;Kim, Jun-Seok;Kim, Jin-Man
    • Proceedings of the Korea Concrete Institute Conference
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    • 2008.04a
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    • pp.473-476
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    • 2008
  • The use of the recycled fine aggregate to the material of structural concrete is not easy currently because there are some problems, such as the difficulty of quality control and the badness of chemical and physical property other than river sand, crushed fine aggregate. To use of recycled fine aggregate, many researches on the recycling of recycled fine aggregate have been studying until today. However, the result of the research is little except for some results. Therefore, the purpose of this study is to confirm the possibility of use of recycled fine aggregate for raw material of plaster mortar. In this study, various tests were performed such as flow, air content, unit weight, bond strength, and compressive strength test to evaluate the effect according to the substitution of recycled concrete aggregate. The results of strength test showed that the concrete strength improved with the increase of replacement ratio of recycled fine aggregate. In the other side, flow and air content are decreased according to replacement ratio of recycled fine aggregate. The result of this study could be used as the basic data for the recycling of recycled fine aggregate.

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Development of Naïve-Bayes classification and multiple linear regression model to predict agricultural reservoir storage rate based on weather forecast data (기상예보자료 기반의 농업용저수지 저수율 전망을 위한 나이브 베이즈 분류 및 다중선형 회귀모형 개발)

  • Kim, Jin Uk;Jung, Chung Gil;Lee, Ji Wan;Kim, Seong Joon
    • Journal of Korea Water Resources Association
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    • v.51 no.10
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    • pp.839-852
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    • 2018
  • The purpose of this study is to predict monthly agricultural reservoir storage by developing weather data-based Multiple Linear Regression Model (MLRM) with precipitation, maximum temperature, minimum temperature, average temperature, and average wind speed. Using Naïve-Bayes classification, total 1,559 nationwide reservoirs were classified into 30 clusters based on geomorphological specification (effective storage volume, irrigation area, watershed area, latitude, longitude and frequency of drought). For each cluster, the monthly MLRM was derived using 13 years (2002~2014) meteorological data by KMA (Korea Meteorological Administration) and reservoir storage rate data by KRC (Korea Rural Community). The MLRM for reservoir storage rate showed the determination coefficient ($R^2$) of 0.76, Nash-Sutcliffe efficiency (NSE) of 0.73, and root mean square error (RMSE) of 8.33% respectively. The MLRM was evaluated for 2 years (2015~2016) using 3 months weather forecast data of GloSea5 (GS5) by KMA. The Reservoir Drought Index (RDI) that was represented by present and normal year reservoir storage rate showed that the ROC (Receiver Operating Characteristics) average hit rate was 0.80 using observed data and 0.73 using GS5 data in the MLRM. Using the results of this study, future reservoir storage rates can be predicted and used as decision-making data on stable future agricultural water supply.

Take advantage of ESWL in comparison measurement of Proximal stone against Mid Ureteral Stone according to its provability of pulverization (ESWL을 이용한 Proximal, Mid Ureteral Stone의 쇄석시 각 조건에 대한 쇄석율의 비교 측정)

  • Kang, Kwang-Soo;Lee, Sang-Bok;Lee, Jun-Haeng
    • Journal of the Korean Society of Radiology
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    • v.4 no.1
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    • pp.11-17
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    • 2010
  • A urolithiasis, also called calculus, is one of the brutal illnesses, which has constantly harassed humanbeings from time immemorial. However, there is no appropriate method of prevention so far. So, Urological therapy must be followed upon those patients. The biggest problem of urolithiasis is usually causing harsh pain, fever, and throw up. The pain would be more intensified when something came through the ureter or the moment of convulsion caused beyond transmission of urinary calculus. Even strong painkillers, such as fentanyl and Pethidine, can not handle those harshly pain easily. Therefore, a prompt action of medical check up and its therapy must be required to those patients. This thesis paper has put the accent on the specific therapy, known as ESWL (Extracorpereal Shock Wave Lithotripsy), which have generated quite optimum resolution to patients, who received harsh pain from Proximal ureteral stone and Mid ureteral stone and because of its low provability of pulverization. The results of the experiment confirmed that the stone, located between Proximal and Mid ureter, has lower provability of pulverization than distal ureter, because its accuracy rate on shock wave, in respect of breathing, are low. However, decrease in discharge interval have enhanced provability of pulverization. it can also intensify probability of pulverization and its safety by discharging high power with appropriate intervals, and that is more efficient than discharging low power with frequent time.

Relationship of Growth Characteristics and Leaf Surface Lipid of Tobacco (잎담배의 엽면수지량과 생육형질과의 관계)

  • Jeong, Gi-Taek;Ban, Yu-Seon;Yu, Ik-Sang
    • Journal of the Korean Society of Tobacco Science
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    • v.5 no.2
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    • pp.33-38
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    • 1983
  • This experiment was conducted to investigate effects of fertilizers on leaf surface lipid(LSL) , and relationship between growth characteristics and LSL of aromatic tobacco, cv. Sohyang, grown in pots with 3 rates of N, P and K. With increasing the amount of applied nitrogen from 3 to 6kg110a, the contents of LSL per plant and per leaf area were decreased For maximum LSL Per plant and per leaf area nitrogen of 3kg/10a was required ,There were lit tie affected by P and K. Leaf weight per plant and mean leaf area were correlated significantly and positively with LSL per plant, but thickness of largest leaf negatively. Specific leaf weight and leaf dry weight /leaf fresh weight ratio were correlated significantly and positively with LSL per leaf area, but mean leaf area negatively.

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The Artificial Neural Network based Electric Power Demand Forecast using a Season and Weather Informations (계절 및 날씨 정보를 이용한 인공신경망 기반 전력수요 예측 알고리즘 개발)

  • Kim, Meekyeong;Hong, Chuleui
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.1
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    • pp.71-78
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    • 2016
  • This paper proposes the new electric power demand forecast model which is based on an artificial neural network and considers time and weather factors. Time factors are selected by measuring the autocorrelation coefficients of load demand in summer and winter seasons. Weather factors are selected by using Pearson correlation coefficient The important weather factors are temperature and dew point because the correlation coefficients between these factors and load demand are much higher than those of the other factors such as humidities, air pressures and wind speeds. The experimental results show that the proposed model using time and seasonal weather factors improves the load demand forecasts to a great extent.