• Title/Summary/Keyword: computer based estimation

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A Computer Program, MAPP, for the Estimation of the Macroalgal Annual Production from Photosynthetic Rates and Biomass Changes (광합성율과 생물량에 기초한 해조류의 년 생산량 계산 프로그람)

  • JOH, SUNG-OK;KOH, CHUL-HWAN
    • 한국해양학회지
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    • v.26 no.3
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    • pp.291-294
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    • 1991
  • MAPP a computer program provides an estimate of the annual production of macroalgae. The calculation of the annual production is based on the Photosynthesis-Irradiance relationship under different temperature conditions and annual changes of algal biomass. The production in a given time was obtained from the multiplication of biomass by the production rate measured by in situ experiments. The annual production, $P_{yr}$, is calculated from $P_{yr}{\;}={\;}{\int}B_t{\cdot}P_r{\;}dt$, where, $P_t$ = f(T,L)and T, L = f(t). The program is written in Pascal language to facilitate the usage with personal computers. The data of the photosynthetic rates and biomass of Sargassum confusum measured at Ohori, on the east coast of Korea, was used for an example.

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The Implementation of Traffic Management S/W for IPTV QoS Measurement based on the Terminal (단말 기반 IPTV 품질 측정을 위한 품질 관리 S/W 구현)

  • Kang, Bong-Jik;Jung, Suk-Yong;Ban, Jae-Won;Hong, Sung-Hwa
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.9
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    • pp.4125-4132
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    • 2011
  • The research of image quality estimation standard and the image quality change according to the network traffic load increase at IPTV multicasting service is necessary because the concern of IPTV(Internet Protocol TV) service become active recently. In the research, for finding out the threshold value of network performance elements giving the effect to the image quality according to the network traffic load, we developed S/W to operate the test bed network and make the test scenario through test bed network test and then we expand the test environment scope to the college network and try to measure the image quality change of IPTV multicasting service according to the network traffic load increase at the college network similar to the real IPTV service environment.

Reliable Measurement and Analysis System for Ubiquitous Healthcare (고신뢰 유비쿼터스 헬스케어 데이터 측정 및 분석 시스템)

  • Jung, Sang-Joong;Seo, Yong-Su;Kim, Jong-Jin;Chung, Wan-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.05a
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    • pp.293-297
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    • 2009
  • This paper describes a real-time reliable measurement and analysis system for ubiquitous healthcare based on IEEE802.15.4 standard. In order to obtain and monitor physiological body signals continuously, wearable pulse oximeter is designed in wrist that could used to measure oxygen saturation of a patient unobtrusively. The measured data was transferred to a central PC or server by using wireless sensor nodes via a wireless sensor network for storage and analysis purposes. LabVIEW server program was designed to monitor and process the measured photoplethysmogram(PPG) to accelerated plethysmogram(APG) by appling second order derivatives in server PC. These experimental results demonstrate that APG can precisely describe the features of an individual's PPG and be used as estimation of vascular elasticity for blood circulation.

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Economic Validation of Maritime Safety Center in Case of Yeong-Nam Province

  • Lim, Sangseop;Kim, Kyung-Hwan
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.10
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    • pp.167-172
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    • 2021
  • After the Ferry Sewol accident, public interest in marine safety has increased. However, as the marine leisure tourism population increases, the number of casualties caused by marine accidents is increasing, so marine safety education is urgently needed. Since facilities related to marine safety education in Korea are geographically biased to the west, regional imbalances in education are significant. Therefore, this study suggested solutions to the problems of developing educational contents and securing budgets and professionals by using idle facilities of the Korea Institute of Maritime and Fisheries Technology(KIMFT) located in Busan as a maritime safety education center. In addition, as a result of estimating demand using the gravity model, it was estimated that the demand would range from 150,000 to 130,000 per year. This study sufficiently proved social policy validity for policy suggestions using existing idle sites as maritime safety education centers based on objective verification methods and is expected to contribute substantially to policy promotion in the future.

Prediction of squeezing phenomenon in tunneling projects: Application of Gaussian process regression

  • Mirzaeiabdolyousefi, Majid;Mahmoodzadeh, Arsalan;Ibrahim, Hawkar Hashim;Rashidi, Shima;Majeed, Mohammed Kamal;Mohammed, Adil Hussein
    • Geomechanics and Engineering
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    • v.30 no.1
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    • pp.11-26
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    • 2022
  • One of the most important issues in tunneling, is the squeezing phenomenon. Squeezing can occur during excavation or after the construction of tunnels, which in both cases could lead to significant damages. Therefore, it is important to predict the squeezing and consider it in the early design stage of tunnel construction. Different empirical, semi-empirical and theoretical-analytical methods have been presented to determine the squeezing. Therefore, it is necessary to examine the ability of each of these methods and identify the best method among them. In this study, squeezing in a part of the Alborz service tunnel in Iran was estimated through a number of empirical, semi- empirical and theoretical-analytical methods. Among these methods, the most robust model was used to obtain a database including 300 data for training and 33 data for testing in order to develop a machine learning (ML) method. To this end, three ML models of Gaussian process regression (GPR), artificial neural network (ANN) and support vector regression (SVR) were trained and tested to propose a robust model to predict the squeezing phenomenon. A comparative analysis between the conventional and the ML methods utilized in this study showed that, the GPR model is the most robust model in the prediction of squeezing phenomenon. The sensitivity analysis of the input parameters using the mutual information test (MIT) method showed that, the most sensitive parameter on the squeezing phenomenon is the tangential strain (ε_θ^α) parameter with a sensitivity score of 2.18. Finally, the GPR model was recommended to predict the squeezing phenomenon in tunneling projects. This work's significance is that it can provide a good estimation of the squeezing phenomenon in tunneling projects, based on which geotechnical engineers can take the necessary actions to deal with it in the pre-construction designs.

The Comparative Study of Software Optimal Release Time for the Distribution Based on Shape parameter (형상모수에 근거한 소프트웨어 최적방출시기에 관한 비교 연구)

  • Shin, Hyun-Cheul;Kim, Hee-Cheul
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.8
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    • pp.1-9
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    • 2009
  • In this paper, make a study decision problem called an optimal release policies after testing a software system in development phase and transfer it to the user. When correcting or modifying the software, because of the possibility of introducing new faults when correcting or modifying the software, infinite failure non-homogeneous Poisson process models presented and propose an optimal release policies of the life distribution applied fixed shape parameter distribution which can capture the increasing/decreasing nature of the failure occurrence rate per fault. In this paper, discuss optimal software release policies which minimize a total average software cost of development and maintenance under the constraint of satisfying a software reliability requirement. In a numerical example, after trend test applied and estimated the parameters using maximum likelihood estimation of inter-failure time data, make out estimating software optimal release time

An ICI Canceling 5G System Receiver for 500km/h Linear Motor Car

  • Suguru Kuniyoshi;Rie Saotome;Shiho Oshiro;Tomohisa Wada
    • International Journal of Computer Science & Network Security
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    • v.23 no.6
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    • pp.27-34
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    • 2023
  • This paper proposed an Inter-Carrier-Interference (ICI) Canceling Orthogonal Frequency Division Multiplexing (OFDM) receiver for 5G mobile system to support 500 km/h linear motor high speed terrestrial transportation service. A receiver in such high-speed train sees the transmission channel which is composed of multiple Doppler-shifted propagation paths. Then, a loss of sub-carrier orthogonality due to Doppler-spread channels causes ICI. The ICI Canceler is realized by the following three steps. First, using the Demodulation Reference Symbol (DMRS) pilot signals, it analyzes three parameters such as attenuation, relative delay, and Doppler-shift of each multi-path component. Secondly, based on the sets of three parameters, Channel Transfer Function (CTF) of sender sub-carrier number 𝒏 to receiver sub-carrier number 𝒍 is generated. In case of 𝒏≠𝒍, the CTF corresponds to ICI factor. Thirdly, since ICI factor is obtained, by applying ICI reverse operation by Multi-Tap Equalizer, ICI canceling can be realized. ICI canceling performance has been simulated assuming severe channel condition such as 500 km/h, 2 path reverse Doppler Shift for QPSK, 16QAM, 64QAM and 256QAM modulations. In particular, for modulation schemes below 16QAM, we confirmed that the difference between BER in a 2 path reverse Doppler shift environment and stationary environment at a moving speed of 500 km/h was very small when the number of taps in the multi-tap equalizer was set to 31 taps or more. We also confirmed that the BER performance in high-speed mobile communications for multi-level modulation schemes above 64QAM is dramatically improved by the use of a multi-tap equalizer.

Performance Improvement of Fractal Dimension Estimator Based on a New Sampling Method (새로운 샘플링법에 기초한 프랙탈 차원 추정자의 정도 개선)

  • Jin, Gang-Gyoo;Choi, Dong-Sik
    • Journal of Navigation and Port Research
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    • v.38 no.1
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    • pp.45-52
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    • 2014
  • Fractal theory has been widely used to quantify the complexity of remotely sensed digital elevation models and images. Despite successful applications of fractals to a variety of fields including computer graphics, engineering and geosciences, the performance of fractal estimators depends highly on data sampling. In this paper, we propose an algorithm for computing the fractal dimension based on the triangular prism method and a new sampling method. The proposed sampling method combines existing two methods, that is, the geometric step method and the divisor step method to increase pixel utilization. In addition, while the existing estimation methods are based on $N{\times}M$ window, the proposed method expands to $N{\times}M$ window. The proposed method is applied to generated fractal DEM, Brodatz's image DB and real images taken in the campus to demonstrate its feasibility.

A comparative study on learning effects based on the reliability model depending on Makeham distribution (Makeham분포에 의존한 신뢰성모형에 근거한 학습효과 특성에 관한 비교 연구)

  • Kim, Hee-Cheul;Cheul, Shin-Hyun
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.9 no.5
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    • pp.496-502
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    • 2016
  • In this study, we investigated the comparative NHPP software model based on learning techniques that operators in the process of software testing and development of software products that can be applied to software test tool. The life distribution was applied Makeham distribution based on finite fault NHPP. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. As a result, the learning factor is larger than automatic error that is usually well-organized model could be established. This paper, a trust characterization of applying using time among failures and parameter approximation using maximum likelihood estimation, after the effectiveness of the data through trend examination model selection were well-organized using the mean square error and $R^2$. From this paper, the software operators must be considered life distribution by the basic knowledge of the software to confirm failure modes which may be helped.

Development of Model Based Battery SOC Indicator for Electric Vehicle (모델기반의 전기자동차용 전지 잔존용량계 개발)

  • Lim, Y.C.;Park, J.G.;Ryoo, Y,J.;Lee, H.S.;Byun, S.C.;Kim, E.S.
    • Journal of Sensor Science and Technology
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    • v.5 no.6
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    • pp.35-42
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    • 1996
  • In this paper, a development of model based battery SOC indicator is described. The proposed method is independent upon initial SOC, is reliable on the sudden change of load, and could estimate the available driving distance. The mathematical model of battery which has relation of the current, voltage and SOC estimates the SOC by least square estimation to minimize the error between measured voltage and estimated voltage. For experiment, the charging and discharging system using computer was designed to acquire the current and voltage data for model. The feasibility in electric vehicle was confirmed by variable load testing using the developed SOC indicator by stand-alone type microcontroller.

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