• Title/Summary/Keyword: Value Model

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A Study on Wearable Healthcare Device Adoption : An Integrated Approach of UTAUT2 and MIR (웨어러블 헬스케어 기기의 수용에 관한 연구: 확장된 통합기술수용모형과 혁신저항모형의 통합적 접근)

  • Jin, Seok;Ahn, Hyunchul
    • The Journal of Information Systems
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    • v.28 no.3
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    • pp.159-202
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    • 2019
  • Purpose The purpose of this study is to explain users' wearable healthcare device adoption using performance expectancy, effort expectancy, the hedonic motivation and price value of UTAUT2, and to identify the causal relationship between intention to use wearable healthcare device and innovation resistance formed by perceived risks. Design/methodology/approach The research model proposed in this study is based on UTAUT2(Extended Unified Theory of Acceptance and Use of Technology) and MIR(Model of Innovation Resistance). In specific, performance expectancy, effort expectancy, hedonic motivation and price value of UTAUT2 and innovation resistance formed by perceived risks of MIR are adopted in our research model. To validate the research model, we carry out the analysis of the survey data using Smart PLS 3.0 to test the hypotheses. Findings According to the empirical analysis results, this study confirms that the performance expectancy, effort expectancy, hedonic motivation, and price value have significant effects on the intention to use wearable healthcare devices. It also finds that perceived risk affects innovation resistance and in turn, innovation resistance affects the intention to use wearable healthcare devices.

Estimation of Extreme Wind Speeds in the Western North Pacific Using Reanalysis Data Synthesized with Empirical Typhoon Vortex Model (모조 태풍 합성 재분석 바람장을 이용한 북서태평양 극치 해상풍 추정)

  • Kim, Hye-In;Moon, Il-Ju
    • Ocean and Polar Research
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    • v.43 no.1
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    • pp.1-14
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    • 2021
  • In this study, extreme wind speeds in the Western North Pacific (WNP) were estimated using reanalysis wind fields synthesized with an empirical typhoon vortex model. Reanalysis wind data used is the Fifth-generation European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis (ERA5) data, which was deemed to be the most suitable for extreme value analysis in this study. The empirical typhoon vortex model used has the advantage of being able to realistically reproduce the asymmetric winds of a typhoon by using the gale/storm-forced wind radii information in the 4 quadrants of a typhoon. Using a total of 39 years of the synthesized reanalysis wind fields in the WNP, extreme value analysis is applied to the General Pareto Distribution (GPD) model based on the Peak-Over-Threshold (POT) method, which can be used effectively in case of insufficient data. The results showed that the extreme analysis using the synthesized wind data significantly improved the tendency to underestimate the extreme wind speeds compared to using only reanalysis wind data. Considering the difficulty of obtaining long-term observational wind data at sea, the result of the synthesized wind field and extreme value analysis developed in this study can be used as basic data for the design of offshore structures.

Ensemble Deep Learning Model using Random Forest for Patient Shock Detection

  • Minsu Jeong;Namhwa Lee;Byuk Sung Ko;Inwhee Joe
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.4
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    • pp.1080-1099
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    • 2023
  • Digital healthcare combined with telemedicine services in the form of convergence with digital technology and AI is developing rapidly. Digital healthcare research is being conducted on many conditions including shock. However, the causes of shock are diverse, and the treatment is very complicated, requiring a high level of medical knowledge. In this paper, we propose a shock detection method based on the correlation between shock and data extracted from hemodynamic monitoring equipment. From the various parameters expressed by this equipment, four parameters closely related to patient shock were used as the input data for a machine learning model in order to detect the shock. Using the four parameters as input data, that is, feature values, a random forest-based ensemble machine learning model was constructed. The value of the mean arterial pressure was used as the correct answer value, the so called label value, to detect the patient's shock state. The performance was then compared with the decision tree and logistic regression model using a confusion matrix. The average accuracy of the random forest model was 92.80%, which shows superior performance compared to other models. We look forward to our work playing a role in helping medical staff by making recommendations for the diagnosis and treatment of complex and difficult cases of shock.

Comparison of streamflow runoff model in Korea for applying to reservoir operation (저수지 운영을 위한 한국 하천 유출 모형의 비교)

  • Noh, Jae-Kyoung;Lee, Jae-Nam
    • Korean Journal of Agricultural Science
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    • v.38 no.3
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    • pp.513-524
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    • 2011
  • To evaluate the applicability of inflow runoff model to reservoir operation in Korea, DAWAST model and TPHM model which are conceptual lumped daily runoff model and were developed in Korea, were selected and applied to simulate inflows to Daecheong multipurpose dam with watershed area of 4,134 $km^2$, and water storages in Geryong reservoir with watershed area of 15.1 $km^2$ and total water storage of 3.4 M $m^3$. Evaluating inflows on an yearly, monthly, ten-day, and daily basis, inflows by DAWAST model showed balanced scatters around equal value line. But inflow by TPHM model showed high in high flows. Annual mean water balance by DAWAST model was rainfall of 1,159.9 mm, evapotranspiration of 622.1 mm, and inflow of 644.6 mm, from which rainfall was 104.8 mm less than sum of evapotranspiration and inflow, and showed unbalanced result. Water balance by TPHM model showed satisfactory result. Reservoir water storages were shown to simulate on a considerable level from applying DAWAST and TPHM models to simulate inflows to Geryong reservoir. But it was concluded to be needed to improve DAWAST and TPHM model together from imbalance of water balance and low estimation in high flow.

A Study on the Effective Factor of an Oral Health Promotion Behavior for Adolescents (청소년의 구강건강증진행위에 미치는 영향요인 연구)

  • Kim, Yeong-Im
    • The Korean Journal of Health Service Management
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    • v.11 no.2
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    • pp.129-142
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    • 2017
  • Objectives : The purpose of this study was to identify the main variables of difference in high school students' oral health promotion behaviors among adolescents and to improve their academic and oral health promotion behaviors. Methods : The research subjects consisted of 311 high school students in Jeonju. Results : The adequacy of the hypothetical model accounted for 46.9 % of the oral health promotion behavior. The Redundancy of all variables showed the value of the positive values, indicating that the Goodness of fit was greater than the optimum value of the model, and the model of the PLS was a desirable model. The effects of perceived benefits, self efficacy, and social support on oral health promotion behaviors were found to be higher in oral health promotion behaviors. Conclusions : This study is expected to have a significant impact on the perception of the oral health promotion for adolescents in the future and will contribute to the expansion and generalization of Pender's oral health promotion model.

A Development of Service Systems Model from Business Model Approach (비즈니스 모델을 기반으로 서비스 시스템 모델 개발에 관한 연구)

  • Yim, Myung-Seong;Jeong, Tae-Seok;Moon, Yong-Eun
    • The Journal of Information Systems
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    • v.19 no.4
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    • pp.1-24
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    • 2010
  • Over the past three decades, services have become the largest part of most industrialized nations' economies but it is the least-studied part of the economy. One approach is to develop a general theory of service with well-defined questions, tools, methods, and practical implications of society. The purpose of this study was to propose a service systems model to systematically approach a service research. For this purpose, we conducted literature review about business model and extant service systems researches. Based on a literature review, we propose a service systems model that comprises value proposition, participants, shared information/knowledge, organizational capability, value network, and technology. Implications for practice and recommendations for additional research were discussed.

Performance Analysis of the Industrial Inkjet Printing Head Using 1D Lumped Model (1 차원 Lumped 모델을 이용한 산업용 잉크젯 프린팅 헤드 토출 특성 해석)

  • Sim, Won-Chul;Kim, Young-Jae;Park, Chang-Sung;Yoo, Young-Seuck;Joung, Jae-Woo;Oh, Yong-Soo;Park, Sung-Jun
    • Journal of the Korean Society for Precision Engineering
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    • v.24 no.11
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    • pp.101-107
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    • 2007
  • Jettability analysis using one-dimensional(1D) lumped parameter model has been investigated to design the industrial inkjet head with proper drop velocity and drop volume. By simplifying the inkjet head system into an equivalent electrical circuit, lumped model has been developed. Performance of the lumped model is verified by the comparison between measured results of droplet velocity and ejection volume and predicted value. Also, the jetting performance of an inkjet head is characterized by varying the design parameter and driving condition. As a result, simulation results shows good agreement with the experimentally measured value. The developed lumped model enables to easily understand the effect of dimension change and predict the jetting performance.

Data compression algorithm with two-byte codeword representation (2바이트 코드워드 표현방법에 의한 자료압축 알고리듬)

  • 양영일;김도현
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.34C no.3
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    • pp.23-36
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    • 1997
  • In tis paper, sthe new data model for the hardware implementation of lempel-ziv compression algorithm was proposed. Traditional model generates the codeword which consists of 3 bytes, the last symbol, the position and the matched length. MSB (most significant bit) of the last symbol is the comparession flag and the remaining seven bits represent the character. We confined the value of the matched length to 128 instead of 256, which can be coded with seven bits only. In the proposed model, the codeword consists of 2 bytes, the merged symbol and the position. MSB of the merged symbol is the comression flag. The remaining seven bits represent the character or the matched length according to the value of the compression flag. The proposed model reduces the compression ratio by 5% compared with the traditional model. The proposed model can be adopted to the existing hardware architectures. The incremental factors of the compression ratio are also analyzed in this paper.

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Sreamflow, Nutirnets loading estimation for KEUMGANG estrury using SWAT2000 model (SWAT2000 모형을 이용한 금강하구호의 유출량 및 영양염류 부하량 산정)

  • Moon, Jong-Pil;Kim, Tai-Cheol
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 2005.10a
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    • pp.496-501
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    • 2005
  • SWAT2000 model directly estimate the loading of water, and nutrients from land areas in a watershed. it allows to add nutrient loading from the point sourece like a sewage treatment plant and it also has a GIS interface which can easily see the spatial relationship between subbasins. For better assessment of nutrients loading to KEUMGANG estuary, SWAT2000 model applied to KEUMGANG estuary watershed. Model calibration and verification was firstly poerformed at Gongju site duing the period $1999{\sim}2003$. $R^2$ value was 0.96 for streamflow, 0.94 for T-N load and 0.52 for T-P load. The accuracy of the model at Gongju site suggest that the SWAT2000 can be available to estimate streamflow, Nutrients loading to the KEUMGANG estuary.

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Response prediction of a 50 m guyed mast under typhoon conditions

  • Law, S.S.;Bu, J.Q.;Zhu, X.Q.;Chan, S.L.
    • Wind and Structures
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    • v.9 no.5
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    • pp.397-412
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    • 2006
  • This paper presents the wind excited acceleration responses of a 50 m guyed mast under the action of Typhoon Dujuan. The response of the structure is reconstructed from using a full finite element model and an equivalent beam-column model. The wind load is modelled based on the measured wind speed and recommendations for high-rise structures. The nonlinear time response analysis is conducted using the Newton Raphson iteration procedure. Comparative studies on the measured and computed frequencies and acceleration responses show that the torsional vibration of the structure is significant particularly in the higher vibration modes after the first few bending modes. The equivalent model, in general, gives less accurate amplitude predictions than the full model because of the omission of torsional stiffness of the mast in the vibration analysis, but the root-mean-square value is close to the measured value in general with an error of less than 10%.