• 제목/요약/키워드: Range prediction

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대규모 FANET에서 UAV 편대간 통신을 위한 링크 상태 예측에 기반한 반응적 라우팅 기법 (A Reactive Routing Scheme based on the Prediction of Link State for Communication between UAV Squadrons in a Large-Scale FANET)

  • 황희두;권오준
    • 한국멀티미디어학회논문지
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    • 제20권4호
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    • pp.593-605
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    • 2017
  • In applications which are covered wide range, it is possible that one or more number of Unmanned Aerial Vehicle(UAV) squadrons are used to perform a mission. In this case, it is most important to communicate seamlessly between the UAV squadrons. In this paper, we applied the modified OLSR(OSLR-Pds) which can prediction for state of the link for the communication in UAV squadron, and applied the modified AOMDV which can build multi-path for the communication between UAV Squadrons. The mobility of nodes are modeled using Gauss-Markov algorithm, and relative speed between nodes were calculated by derive equation of movement, and thereby we can predict link state for in a squadron and between squadrons. An experiment for comparing AODV, AOMDV and the proposed routing protocol was conducted by three factors such as packet delivery ratio, end to end delay, and routing overhead. In experiment result, we make sure that the proposed protocol performance are superior in these three factors. However, if the density of the nodes constituting FANET are too low, and if the moving speed of node is very slow, there is no difference to others protocols.

양액재배를 위한 배양액관리 지원시스템의 개발 I. 배양액의 배합 및 전기전도도(EC)의 예측 (Development of a Supporting System for Nutrient Solution Management in Hydroponics I. Fertilizer Combination and Electrical Conductivity(EC) Prediction)

  • 손정익;김문기
    • 생물환경조절학회지
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    • 제1권1호
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    • pp.52-60
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    • 1992
  • The optimum management of nutrient solution needs the effective combination of fertilizers as well as the accurate control of nutrient solution. This study was attempt to make a supporting system for effective fertilizer combination by using computer and also to develop a EC predicting equation for keeping the EC of solution within the allowable range after application of combined fertilizers. The supporting system consists of three parts : (1) data bases, (2) rules for deciding the kinds and amounts of fertilizers and (3) main control. With input data, the main control automatically constructs the network connecting the related data bases and subsequently executes the operation of searching proper fertilizers through it. For more effective searching, fertilizers are classified into two levels(level 1 and level 2) in consideration of solubility, price, and frequency in use, and searched in that order. The EC prediction equation, a extended form of the Robinson and Stroke's theoretical equation only available for a binary electrolyte, is suggested for predicting the EC of the nutrient solution containing many kinds of inorganic compounds. The comparison of predicted and measured ECs showed good agreements with the high correlation between the predicted EC decrement by ion interaction and the actual one(limiting EC minus measured EC).

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근적외선을 이용한 사과의 당도예측 (II) - 부분최소제곱 및 인공신경회로망 모델 - (Predicting the Soluble Solids of Apples by Near Infrared Spectroscopy (II) - PLS and ANN Models -)

  • 이강진;;;노상하
    • Journal of Biosystems Engineering
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    • 제23권6호
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    • pp.571-582
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    • 1998
  • The PLS(Partial Least Square) and ANN(Artificial Neural Network) were introduced to develop the soluble solids content prediction model of apples which is followed by making a subsequent selection of photosensor. For the optimal PLS model, number of factors needed for spectrum analysis were increased until the convergence of prediction residual error sum of squares. Analysis has shown that even part of the overall wavelength with no pretreatment may turn out better performing. The best PLS model was found in the 800 to 1,100nm wavelength region without pretreatment of second derivation, having $R^2$=0.9236, bias= -0.0198bx, SEP=0.2527bx for unknown samples. On the other hand, for the ANN model the second derivation led to higher performance. On partial range of 800 to 1,100nm wavelengh region, prediction model with second derivation for unknown samples reached $R^2$=0.9177, SEP=0.2903bx in contrast to $R^2$=0.7507, SEP =0.4622bx without pretreatment.

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가시광선/근적외선 분광분석법을 이용한 사과의 당도 및 경도 측정 (Prediction of Soluble Solid and Firmness in Apple by Visible/Near-Infrared Spectroscopy)

  • 최창현;이강진;박보순
    • Journal of Biosystems Engineering
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    • 제22권2호
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    • pp.256-265
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    • 1997
  • The objectives of this study were to examine the ability to predict soluble solid and firmness in intact apples based on the visible/near-infrared spectroscopic technique. Two cultivars of apples, Delicious and Gala, were handled, tested and analyzed separately. Reflectance spectra, Magness-Tayor (MT) firmness, and soluble solids in apples were measured sequentially. Maximum and minimum diameters, height, and weight of apples were recorded before the MT firmness tests. A spectrophotometer was used to collect reflectance spectra of intact apples over a wavelength range of 400 to 2, 498 nm. The W firmness tests were conducted using a standard 11.1mm (7/16 in.) MT probe mounted in an Instron universal testing machine. A digital refractormeter was used to measure soluble solid contents in the apples. Apple samples were divided into a calibration set and a prediction set. The calibration set was used during model development, and the prediction set was used to predict soluble solids and firmness from unknown spectra. The method of partial least square (PLS) analysis was used. An unique set of PLS loading vectors (factors) was developed for soluble solid content and firmness. The PLS model showed good correlations between predicted and measured soluble solids of intact apples in 860~1078 nm of the wavelengths. However, the PLS analysis was not good enough to predict the apple firmness.

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복합구조물의 RCS 예측 (RCS Prediction of Complex Targets)

  • 석성하;서태일;전상미;박해상;김효태
    • 한국전자파학회논문지
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    • 제11권6호
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    • pp.929-938
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    • 2000
  • 복합구조물의 레이다 단면적 예측을 위하여 포항공과대학교에서 개발중인 컴퓨터 코드에 관한 개발과정과 검증에 관한 내용을 기술하였다. 복합구조물은 평판과 모서리로 모델링 되었으며 예측을 위한 컴퓨터 코드는 물리광학, 물리광학적 회절이론과 SBR 기법을 이용한다. 축소 모형을 제작하여 포항공대 단축거리 측정장치로 RCS를 측정하였다. 예측/측정된 결과는 RCS 패턴 및 ISAR 영상을 통하여 비교 검토되었으며 그 결과는 상당히 일치하였고 복합구조물의 국부 산란현상을 잘 설명한다. 이러한 예측 방법은 스텔스 설계와 표현인식기법연수에 직접 적용될 수 있다.

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압밀비배수 삼축압축실험을 이용한 지반의 포아송비 예측 (Poisson's Ratio Prediction of Soil Using the Consolidation Undrained Triaxial Compression Test)

  • 임성윤;유석철;김유용;김명환
    • 한국농공학회논문집
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    • 제62권4호
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    • pp.45-51
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    • 2020
  • The poisson's ratio was obtained from the effective vertical stress and horizontal stress of consolidation-undrained test. It was analyzed void ratio verse poisson's ratio. At the result, the effective friction angle was increase with relative density increased, was decreased the poisson's ratio. The empirical equation of void ratio and poisson's ratio was showed very high correlation r2=0.846. The empirical equation was showed that the smaller the void ratio in the fine grained soil than granular soil. In the case of 0.85 times the correlation analysis equation of granular and fine grained soil, the experimental results were shown very similarly. In especially, the poisson's ratio prediction results was shown within 5% of the error range, was revalidation 0.85 times the correlation analysis equation using the void ratio. In this study, correlation analysis equation of the granular and fine grained soil was more reliability of the poisson's ratio prediction results apply to the void ratio than dry unit weight.

실시간 영상처리를 위한 영상 전처리 방법 및 하드웨어 구현 (Image Pre-Processing Method and its Hardware Implementation for Real-Time Image Processing)

  • 곽성인;박종식
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2013년도 추계학술대회
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    • pp.999-1002
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    • 2013
  • 실시간 영상처리를 위해 다양한 시스템이 개발되고 있으며, 이들은 주로 고성능 프로세서에 의존한다. 하지만 이러한 영상처리 시스템은 상대적으로 낮은 성능의 모바일 시스템이나 저전력을 요구하는 시스템에는 적용하기 힘들다. 따라서 다양한 어플리케이션에 적용을 하기 위해서는 영상처리를 위한 좀 더 효율적인 방법이 필요하다. 본 논문에서는 상대적으로 낮은 성능의 시스템에서도 실시간 영상처리가 가능하도록 인트라 예측기 원리를 이용하여 영상의 처리 범위를 제한하는 전처리 방법을 고안하였고, 이러한 전처리기를 하드웨어 코어로 하는 시스템 구성을 제안한다. 또한 하드웨어 코어 구현 결과와 이를 이용한 영상 처리량 감소 방안을 제시한다.

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Prediction methods on tunnel-excavation induced surface settlement around adjacent building

  • Ding, Zhi;Wei, Xin-jiang;Wei, Gang
    • Geomechanics and Engineering
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    • 제12권2호
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    • pp.185-195
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    • 2017
  • With the rapid development of urban underground traffic, the study of soil deformation induced by subway tunnel construction and its settlement prediction are gradually of general concern in engineering circles. The law of soil displacement caused by shield tunnel construction of adjacent buildings is analyzed in this paper. The author holds that ground surface settlement based on the Gauss curve or Peck formula induced by tunnel excavation of adjacent buildings is not reasonable. Integrating existing research accomplishments, the paper proposed that surface settlement presents cork distribution curve characters, skewed distribution curve characteristics and normal distribution curve characteristics when the tunnel is respectively under buildings, within the scope of the disturbance and outside the scope of the disturbance. Calculation formulas and parameters on cork distribution curve and skewed distribution curve were put forward. The numerical simulation, experimental comparison and model test analysis show that it is reasonable for surface settlement to present cork distribution curve characters, skewed distribution curve characteristics and normal distribution curve characteristics within a certain range. The research findings can be used to make effective prediction of ground surface settlement caused by tunnel construction of adjacent buildings, and to provide theoretical guidance for the design and shield tunnelling.

북한 SLBM 탐지를 위한 레이다 수신전력 간편 추정 방법 (Convenient Radar Received Power Prediction Method for North Korea SLBM Detection)

  • 서형필;박형훈;이경행
    • 한국시뮬레이션학회논문지
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    • 제26권2호
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    • pp.51-58
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    • 2017
  • 본 연구에서는 시뮬레이션을 거친 북한의 잠수함 발사 탄도미사일의 비행궤적에 대하여 레이더 수신전력에 대한 간편 추정방법에 대해 제시하였다. 최근 북한은 잠수함 발사 탄도미사일의 비행시험에 성공하였으며, 이는 국제적인 안보에 상당한 위협이 되고 있다. 따라서 이러한 위협에 능동적으로 대응하기 위해서는 잠수함 발사 탄도미사일의 위협에 대해 레이더를 이용한 탐지특성에 대한 과학적이고 논리적인 분석이 이루어져야 한다. 이러한 관점에서 본 연구에서는 북한의 잠수함 발사탄도미사일의 비행궤적에 따른 레이더의 탐지특성을 분석하기 위해 레이더 반사 면적(RCS)과 전파특성에 대한 모델링 및 시뮬레이션을 실시하였다.

기계학습방법을 활용한 대형 집단급식소의 식수 예측: S시청 구내직원식당의 실데이터를 기반으로 (Predicting the Number of People for Meals of an Institutional Foodservice by Applying Machine Learning Methods: S City Hall Case)

  • 전종식;박은주;권오병
    • 대한영양사협회학술지
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    • 제25권1호
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    • pp.44-58
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    • 2019
  • Predicting the number of meals in a foodservice organization is an important decision-making process that is essential for successful food production, such as reducing the amount of residue, preventing menu quality deterioration, and preventing rising costs. Compared to other demand forecasts, the menu of dietary personnel includes diverse menus, and various dietary supplements include a range of side dishes. In addition to the menus, diverse subjects for prediction are very difficult problems. Therefore, the purpose of this study was to establish a method for predicting the number of meals including predictive modeling and considering various factors in addition to menus which are actually used in the field. For this purpose, 63 variables in eight categories such as the daily available number of people for the meals, the number of people in the time series, daily menu details, weekdays or seasons, days before or after holidays, weather and temperature, holidays or year-end, and events were identified as decision variables. An ensemble model using six prediction models was then constructed to predict the number of meals. As a result, the prediction error rate was reduced from 10%~11% to approximately 6~7%, which was expected to reduce the residual amount by approximately 40%.