• 제목/요약/키워드: technical indicator

검색결과 105건 처리시간 0.02초

아두이노를 활용한 자전거 방향지시등 개발 (Development of Bicycle Direction Indicator using Arduino)

  • 최민규;문하영;박제희;고지혜;박주영;한준호;안용현;김동혁;우인혁;김민우
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2018년도 춘계학술대회
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    • pp.371-373
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    • 2018
  • 자전거 등하교 및 출퇴근족의 안전을 위하여 방향 표시등의 기능은 반드시 필요하다. 본 연구에서는 아두이노를 활용하여 조립식 자전거에 방향 표시등 기능을 개발하였다. 아두이노의 간단한 기능을 통해 핸들에 스위치를 부착하여 방향 표시등을 켜고 끄게 할 수 있다. 또한 간단한 기능이므로 자전거를 가지고 있는 사람들이 스스로 DIY를 하여 제작할 수 있는 메이커 활동으로 적합하다고 판단된다. 본 논문에서 제안된 기능을 통하여 자전거에 필요한 서비스를 많이 부착할 수 있는 가능성을 열어두었다.

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온라인 뉴스와 거시경제 지표, 금융 지표, 기술적 지표, 관심도 지표를 이용한 코스닥 상장 기업의 기계학습 기반 주가 변동 예측 (Machine Learning Based Stock Price Fluctuation Prediction Models of KOSDAQ-listed Companies Using Online News, Macroeconomic Indicators, Financial Market Indicators, Technical Indicators, and Social Interest Indicators)

  • 김화련;홍승혜;홍헬렌
    • 한국멀티미디어학회논문지
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    • 제24권3호
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    • pp.448-459
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    • 2021
  • In this paper, we propose a method of predicting the next-day stock price fluctuations of 10 KOSDAQ-listed companies in 5G, autonomous driving, and electricity sectors by training SVM, XGBoost, and LightGBM models from macroeconomic·financial market indicators, technical indicators, social interest indicators, and daily positive indices extracted from online news. In the three experiments to find out the usefulness of social interest indicators and daily positive indices, the average accuracy improved when each indicator and index was added to the models. In addition, when feature selection was performed to analyze the superiority of the extracted features, the average importance ranking of the social interest indicator and daily positive index was 5.45 and 1.08, respectively, it showed higher importance than the macroeconomic financial market indicators and technical indicators. With the results of these experiments, we confirmed the effectiveness of the social interest indicators as alternative data and the daily positive index for predicting stock price fluctuation.

Bitcoin Algorithm Trading using Genetic Programming

  • Monira Essa Aloud
    • International Journal of Computer Science & Network Security
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    • 제23권7호
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    • pp.210-218
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    • 2023
  • The author presents a simple data-driven intraday technical indicator trading approach based on Genetic Programming (GP) for return forecasting in the Bitcoin market. We use five trend-following technical indicators as input to GP for developing trading rules. Using data on daily Bitcoin historical prices from January 2017 to February 2020, our principal results show that the combination of technical analysis indicators and Artificial Intelligence (AI) techniques, primarily GP, is a potential forecasting tool for Bitcoin prices, even outperforming the buy-and-hold strategy. Sensitivity analysis is employed to adjust the number and values of variables, activation functions, and fitness functions of the GP-based system to verify our approach's robustness.

Developing Airport Safety Performance Indicators and Index - The Case of Incheon Airport Airside -

  • In Kie Na;Yu-Jin Choi
    • 한국항공운항학회지
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    • 제31권3호
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    • pp.103-118
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    • 2023
  • An indicator system is an effective way to monitor ongoing safety status. Current aviation safety measurements account for many qualitative technical and lagging indicators. Conversely, quantitative and leading indicators have only a tiny proportion. This research added more quantitative leading indicators and reviewed them to harmonize lagging and leading indicators to measure airport safety and provide an index. The South Korean national gate, Incheon International Airport's indicators, were applied as primary data to verify this research practically. Then, examples from International and national authorities were reviewed and extracted for use. Fifty-five safety specialists participated in the focus group discussion and three rounds of the Delphi survey. Finally, 51 sub-indicators were newly chosen. After this process, weights for each indicator could be assigned using the AHP (Analytical Hierarchy Process) to provide an integrated index. The result of the simulation with newly added indicators in the past five years (2020-2022) reliable trend showed in indicators and integrated index. Moreover, this allows monitoring the status of the details of indicators and holistic insight. This study considered that it is more suitable for a single company or service provider to use it according to the exact situation than in a macro- and general-purpose at the country or regional level.

LCA기법을 이용한 천연펄프의 환경 영향 평가 (Environmental Impact Evaluation of Virgin Pulp Using Life Cycle Assessment Methodology)

  • 김형진;조병묵;황용우;박광호
    • 펄프종이기술
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    • 제36권1호
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    • pp.49-60
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    • 2004
  • Life Cycle Assessment for the pulp, which is mainly used as the raw material of fine paper, base paper for food packaging and paper cup, has been carried out in this study to consider environmental aspects by quantifying the environmental emission and to evaluate its environmental impact potential. The system boundary was selected from cradle to gate stage(raw material acquisition, transportation of raw material and product manufacturing) of the product. Environmental impact was divided into 8 categories considering Korean situation: abiotic resource depletion, global warming, ozone depletion, acidification, eutrophication, photochemical oxidant creation, ecotoxicity and human toxicity. In Life Cycle Impact Assessment(LCIA) methodology phase, Ecopoint, Eco-indicator 95 and Korean eco-indicator were used and the results carried out by each methodology were compared. The results from this study were also compared with those of foreign study to verify the reliability of the results. The results of the study could be utilized as the basic data for Environmental Management System(EMS), Design for Environment(DfE) and Type III eco-labeling in the paper and paper-related industry.

Improvement of inspection system for common crossings by track side monitoring and prognostics

  • Sysyn, Mykola;Nabochenko, Olga;Kovalchuk, Vitalii;Gruen, Dimitri;Pentsak, Andriy
    • Structural Monitoring and Maintenance
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    • 제6권3호
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    • pp.219-235
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    • 2019
  • Scheduled inspections of common crossings are one of the main cost drivers of railway maintenance. Prognostics and health management (PHM) approach and modern monitoring means offer many possibilities in the optimization of inspections and maintenance. The present paper deals with data driven prognosis of the common crossing remaining useful life (RUL) that is based on an inertial monitoring system. The problem of scheduled inspections system for common crossings is outlined and analysed. The proposed analysis of inertial signals with the maximal overlap discrete wavelet packet transform (MODWPT) and Shannon entropy (SE) estimates enable to extract the spectral features. The relevant features for the acceleration components are selected with application of Lasso (Least absolute shrinkage and selection operator) regularization. The features are fused with time domain information about the longitudinal position of wheels impact and train velocities by multivariate regression. The fused structural health (SH) indicator has a significant correlation to the lifetime of crossing. The RUL prognosis is performed on the linear degradation stochastic model with recursive Bayesian update. Prognosis testing metrics show the promising results for common crossing inspection scheduling improvement.

국방연구개발 프로젝트의 기술적 성과 측정.분석 프로세스 구현방안과 도구 개발 (Technical Performance Measurement & Aanaysis Process Implementation Method and Tool Development of The Defense R&D Project)

  • 유이주;박영원
    • 한국군사과학기술학회지
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    • 제11권3호
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    • pp.76-88
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    • 2008
  • The purpose of the research is to propose an earned-value indicator for technical performance measurements of an ongoing defense R&D project and the associated measurement, analysis and the implementation process for data collection and usages. Furthermore, the study demonstrates the evidences of benefits and validity of the proposed approach through the enabling tool development and its application examples.

Lamb Production Costs: Analyses of Composition and Elasticities Analysis of Lamb Production Costs

  • Raineri, C.;Stivari, T.S.S.;Gameiro, A.H.
    • Asian-Australasian Journal of Animal Sciences
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    • 제28권8호
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    • pp.1209-1215
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    • 2015
  • Since lamb is a commodity, producers cannot control the price of the product they sell. Therefore, managing production costs is a necessity. We explored the study of elasticities as a tool for basing decision-making in sheep production, and aimed at investigating the composition and elasticities of lamb production costs, and their influence on the performance of the activity. A representative sheep production farm, designed in a panel meeting, was the base for calculation of lamb production cost. We then performed studies of: i) costs composition, and ii) cost elasticities for prices of inputs and for zootechnical indicators. Variable costs represented 64.15% of total cost, while 21.66% were represented by operational fixed costs, and 14.19% by the income of the factors. As for elasticities to input prices, the opportunity cost of land was the item to which production cost was more sensitive: a 1% increase in its price would cause a 0.2666% increase in lamb cost. Meanwhile, the impact of increasing any technical indicator was significantly higher than the impact of rising input prices. A 1% increase in weight at slaughter, for example, would reduce total cost in 0.91%. The greatest obstacle to economic viability of sheep production under the observed conditions is low technical efficiency. Increased production costs are more related to deficient zootechnical indexes than to high expenses.

선물시장에서 거래확률 조정을 통한 자산운용 투자전략 모델에 관한 연구 (A study on asset management investment strategy model by trade probability control on futures market)

  • 이석준;김지현;정석재
    • 경영과정보연구
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    • 제31권3호
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    • pp.21-46
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    • 2012
  • 최근 국내 기관 투자자들을 중심으로 전통적 투자대상으로부터의 수익이 하락추세에 있어 기관 투자자들이 적극적 자산운용을 기피할 경우, 장기적으로 안정적 수익보장을 유지하기 어렵다는 우려가 제기되었다. 이에 보유자산 구성을 조정한 수익성 개선전략의 요구가 증대되고 있으며, 일부 기관 투자자들은 헤지펀드를 기존 포트폴리오에 편입시킴으로써 운용수익률을 제고하려는 움직임을 보이고 있다. 본 연구에서는 시스템트레이딩을 이용하여 선물시장에서 거래확률 조정을 통한 헤지펀드 투자전략을 제시하고자 한다. 선물시장에서 사용되는 다양한 기술적 지표를 이용하여 연관성 규칙(association rule)을 생성하고 이를 거래규칙(trading rule)으로 전환하여 투자전략으로 활용한다. 한편 연관성 규칙은 기술적 지표의 개수와 개별 지표들의 구간값의 조합으로 생성되며, 조합에 따라 거래확률을 조정함으로써 위험관리가 가능한 투자전략을 수립하는데 사용된다. 제시된 전략의 우수성을 입증하기 위해 KOSPI 200 연결선물데이터를 이용하여 수익성 분석을 수행하였으며, 분석결과 제시된 투자전략이 투자위험관리에 효과적임을 보였다.

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