• Title/Summary/Keyword: series model

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Analysis of Nonlinear Dynamics in Family Model including Parent-in-Law (처부모와 시부모까지 포함한 가족 관계에서의 비선형 거동 해석)

  • Huang, Linyun;Shon, Young-Woo;Lee, Jeong-Gu;Bae, Young-Chul
    • Journal of the Korean Institute of Intelligent Systems
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    • v.26 no.1
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    • pp.37-43
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    • 2016
  • Recently, it is emphasized importance of family. The new family organize including husband and wife are created by caused marriage, they organize new family including wife's home and husband's home. As a result, they may experience about conflict or peace between new family and previous family. The research of family mainly have been studied in the social science side. However, because researchers of social science deals with linguistic emotion status, there is no mathematical modeling for family relationship. In this paper, one of the nonlinear research for social subject, we modify love model of Romeo and Juliet. Then we propose novel family relationship model for parent-in-law and daughter (or son)-in- law relation. We also confirm chaotic behavior or nonlinear behavior by time series and phase portrait.

Characteristics of Skin Friction on Compression Loaded Group Piles (압축하중을 받는 무리말뚝의 주면지지력 특성)

  • Ahn Byung-Chul;Lee Jun-Dae
    • Journal of the Korean Society of Safety
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    • v.19 no.3 s.67
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    • pp.95-100
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    • 2004
  • H-pile can be more easily driven than pipe pile by pile driver and shows high skin friction and plugging effect. And lately It is well grown that the high strength H-pile has been widely used f3r pile foundations. To compare the skin frictions of H piles under different density soil conditions, this paper presents results of a series of model tests on vertically loaded group piles. Model piles made of steel embedded in weathered granite soil were used in this study. Pile arrangements $(2\times2,\;3\tunes3)$, pile space(2D, 4D, 6D), and soil density$(D_r=40\%,\;80\%)$ were tested. The main results obtained from the model tests can be summarized as follows. The series of tests found that compression load for group piles increases as number of piles increase and piles space ratic decrease to $D_r=40\%$ of soil density. The analysis also found that the theoretical value of skin friction for group piles is greater than practical value as piles space ratio increases to $D_r=40\%$ of soil density. Piles showed the greatest difference of the skin friction in case that the pile space ratio(S/D) is 6. The theoretical value by Meyerhof and DM-7 showed 1.83 times and 1.32 times respectively as great as practical value in case of S/D=6 and $2\times2$.

Launch environmental test results of KAISTSAT-4 QM (과학위성 1호 인증모델에 대한 발사환경시험 결과)

  • Tahk, Kyung-Mo;Lee, Jun-Ho;Lee, Sang-Hyun;Kim, Eugene-D.;Cha, Won-Ho;Youn, Sung-Kie
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.30 no.6
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    • pp.124-129
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    • 2002
  • KAISTAT-4 is the fourth experimental microsatellite of KITSAT series which has been developed by Satellite Technology Research Center of KAIST for the last two years. The launch of KAISTSAT-4 is scheduled in 2003. The primary experimental payloads consist of Far-ultraviolet Imaging Spectrograph and Space Physis Package. In a similar way to KITSAT series, the interior of KAISTSAT-4 comprises mainly a set of stacked aluminium-alloy module boxes, each being capable of acting as the primary load path in the mechanical structure. The KAISTSAT-4 qualification model is now designed, fabricated, integrated, and tested to verify if the electrical and mechanical components work and can withstand the launch environments. All the required structural tests have been performed to a sufficient degree to satisfy the intent of the test requirements. This paper presents the structural system and launch environmental test results of KAISTSAT-4 qualification model.

In silico Analysis on hERG Channel Blocking Effect of a Series of T-type Calcium Channel Blockers

  • Jang, Jae-Wan;Song, Chi-Man;Choi, Kee-Hyun;Cho, Yong-Seo;Baek, Du-Jong;Shin, Kye-Jung;Pae, Ae-Nim
    • Bulletin of the Korean Chemical Society
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    • v.32 no.1
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    • pp.251-262
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    • 2011
  • Human ether-a-go-go related gene (hERG) potassium channel blockade, an undesirable side effect which might cause sudden cardiac death, is one of the major concerns facing the pharmaceutical industry. The purpose of this study is to develop an in silico QSAR model which uncovers the structural parameters of T-type calcium channel blockers to reduce hERG blockade. Comparative molecular similarity indices analysis (CoMSIA) was conducted on a series of piperazine and benzimidazole derivatives bearing methyl 5-(ethyl(methyl)amino)-2-isopropyl-2-phenylpentanoate moieties, which was synthesized by our group. Three different alignment methods were applied to obtain a reliable model: ligand based alignment, pharmacophore based alignment, and receptor guided alignment. The CoMSIA model with receptor guided alignment yielded the best results : $r^2$ = 0.955, $q^2$ = 0.781, $r^2_{pred}$ = 0.758. The generated CoMSIA contour maps using electrostatic, hydrophobic, H-bond donor, and acceptor fields explain well the structural requirements for hERG nonblockers and also correlate with the lipophilic potential map of the hERG channel pore.

Determination of Pattern Models using a Convergence of Time-Series Data Conversion Technique for the Prediction of Financial Markets (금융시장 예측을 위한 시계열자료의 변환기법 융합을 이용한 패턴 모델 결정)

  • Jeon, Jin-Ho;Kim, Min-Soo
    • Journal of Digital Convergence
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    • v.13 no.5
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    • pp.237-244
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    • 2015
  • Export-led policies, FTA signed and economics of scale through a variety of market-oriented policies, such as regulations to improve market grew constantly. Accordingly, the correct decision making accurately analyze the economics market for decision, a problem has been an important issue in predicting. For accurate analysis and decision-making of the most common indicators of the stock market by proposing a number of indicators of economic transformation techniques were applied to the convergence model combining estimation and forecasts problem confirmed its effectiveness. Experimental result, gave the model estimation method to apply a transform to show the valid combinations proposed model state estimation result was confirmed in a very similar exercise aspect of the physical problem and the KOSPI index prediction.

A Study on the Construction of a Real-time Sign-language Communication System between Korean and Japanese Using 3D Model on the Internet (인터넷상에 3차원 모델을 이용한 한-일간 실시간 수화 통신 시스템의 구축을 위한 기초적인 검토)

  • Kim, Sang-Woon;Oh, Ji-Young;Aoki, Yoshinao
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.7
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    • pp.71-80
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    • 1999
  • Sign-language communication can be a useful way of exchanging message between people who using different languages. In this paper, we report an experimental survey on the construction of a Korean-Japanese sign-language communication system using 3D model. For real-time communication, we introduced an intelligent communication method and built the system as a client-server architecture on the Internet. A character model is stored previously in the clients and a series of animation parameters are sent instead of real image data. The input-sentence is converted into a series of parameters of Korean sign language or Japanese sign language at server. The parameters are transmitted to clients and used for generating the animation. We also employ the emotional expressions, variable frames allocation method, and a cubic spline interpolation for the purpose of enhancing the reality of animation. The proposed system is implemented with Visual $C^{++}$ and Open Inventor library on Windows platform. Experimental results show a possibility that the system could be used as a non-verbal communication means beyond the linguistic barrier.

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A study on Data Preprocessing for Developing Remaining Useful Life Predictions based on Stochastic Degradation Models Using Air Craft Engine Data (항공엔진 열화데이터 기반 잔여수명 예측력 향상을 위한 데이터 전처리 방법 연구)

  • Yoon, Yeon Ah;Jung, Jin Hyeong;Lim, Jun Hyoung;Chang, Tai-Woo;Kim, Yong Soo
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.43 no.2
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    • pp.48-55
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    • 2020
  • Recently, a study of prognosis and health management (PHM) was conducted to diagnose failure and predict the life of air craft engine parts using sensor data. PHM is a framework that provides individualized solutions for managing system health. This study predicted the remaining useful life (RUL) of aeroengine using degradation data collected by sensors provided by the IEEE 2008 PHM Conference Challenge. There are 218 engine sensor data that has initial wear and production deviations. It was difficult to determine the characteristics of the engine parts since the system and domain-specific information was not provided. Each engine has a different cycle, making it difficult to use time series models. Therefore, this analysis was performed using machine learning algorithms rather than statistical time series models. The machine learning algorithms used were a random forest, gradient boost tree analysis and XG boost. A sliding window was applied to develop RUL predictions. We compared model performance before and after applying the sliding window, and proposed a data preprocessing method to develop RUL predictions. The model was evaluated by R-square scores and root mean squares error (RMSE). It was shown that the XG boost model of the random split method using the sliding window preprocessing approach has the best predictive performance.

Time dependent finite element analysis of steel-concrete composite beams considering partial interaction

  • Dias, Maiga M.;Tamayo, Jorge L.P.;Morsch, Inacio B.;Awruch, Armando M.
    • Computers and Concrete
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    • v.15 no.4
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    • pp.687-707
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    • 2015
  • A finite element computer code for short-term analysis of steel-concrete composite structures is extended to study long-term effects under service loads, in the present work. Long-term effects are important in engineering design because they influence stress and strain distribution of the structural system and therefore contribute to the increment of deflections in these structures. For creep analysis, a rheological model based on a Kelvin chain, with elements placed in series, was employed. The parameters of the Kelvin chain were obtained using Dirichlet series. Creep and shrinkage models, proposed by the CEB FIP 90, were used. The shear-lag phenomenon that takes place at the concrete slab is usually neglected or not properly taken into account in the formulation of beam-column finite elements. Therefore, in this work, a three-dimensional numerical model based on the assemblage of shell finite elements for representing the steel beam and the concrete slab is used. Stud shear connectors are represented for special beam-column elements to simulate the partial interaction at the slab-beam interface. The two-dimensional representation of the concrete slab permits to capture the non-uniform shear stress distribution in the horizontal plane of the slab due to shear-lag phenomenon. The model is validated with experimental results of two full-scale continuous composite beams previously studied by other authors. Results are given in terms of displacements, bending moments and cracking patterns in order to shown the influence of long-term effects in the structural response and also the potentiality of the present numerical code.

NDVI 시계열 시리즈에 의한 한반도 지표면 변화 추적

  • Lee, Sang-Hun
    • Proceedings of the KSRS Conference
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    • 2009.03a
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    • pp.97-100
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    • 2009
  • The surface parameters associated with the land are usually dependent on the climate, and many physical processes that are displayed in the image sensed from the land then exhibit temporal variation with seasonal periodicity. An adaptive feedback system proposed in this study reconstructs a sequence of images remotely sensed from the land surface having the physical processes with seasonal periodicity. The harmonic model is used to track seasonal variation through time, and a Gibbs random field (GRF) is used to represent the spatial dependency of digital image processes. In this study, the Normalized Difference Vegetation Index (NDVI) was computed for one week composites of the Advanced Very High Resolution Radiometer (AVHRR) imagery over the Korean peninsula for 1996 and 2000 using a dynamic technique, and the adaptive reconstruction of harmonic model was then applied to the NDVI time series for tracking changes on the ground surface. The results show that the adaptive approach is potentially very effective for continuously monitoring changes on near-real time.

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Deep Learning Forecast model for City-Gas Acceptance Using Extranoues variable (외재적 변수를 이용한 딥러닝 예측 기반의 도시가스 인수량 예측)

  • Kim, Ji-Hyun;Kim, Gee-Eun;Park, Sang-Jun;Park, Woon-Hak
    • Journal of the Korean Institute of Gas
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    • v.23 no.5
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    • pp.52-58
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    • 2019
  • In this study, we have developed a forecasting model for city- gas acceptance. City-gas corporations have to report about city-gas sale volume next year to KOGAS. So it is a important thing to them. Factors influenced city-gas have differences corresponding to usage classification, however, in city-gas acceptence, it is hard to classificate. So we have considered tha outside temperature as factor that influence regardless of usage classification and the model development was carried out. ARIMA, one of the traditional time series analysis, and LSTM, a deep running technique, were used to construct forecasting models, and various Ensemble techniques were used to minimize the disadvantages of these two methods.Experiments and validation were conducted using data from JB Corp. from 2008 to 2018 for 11 years.The average of the error rate of the daily forecast was 0.48% for Ensemble LSTM, the average of the error rate of the monthly forecast was 2.46% for Ensemble LSTM, And the absolute value of the error rate is 5.24% for Ensemble LSTM.