A Unified Model Combining Technology Readiness Acceptance Model and Technology Paradox Theory

Choon-San Kim,Sang-Bum Park 한국유통과학회 2017 The Journal of Industrial Distribution & Business( Vol.8 No.7

Purpose – There are common factors both in Technology Readiness and Acceptance Model and Technology Paradox Theory which can be put together and made in one unified model. The unified model can provide the following merits. First, the unified model is simple but contains factors of the models. Second, the unified model can clarify the process of technology acceptance of common consumers. Third, the unified model can provide the opportunities to analyze the negative sides of new technology, thus find ways to improve the level of acceptance by general consumers. Research design, data, and methodology – The 450 questionnaires were handed out to people around Seoul and 421 were collected. Except insincere and wrong-marked ones, 402 were used to analyze. SPSS program was used to analyze. Factor analysis, regression analysis was conducted to test the hypotheses. Results – By analyzing sub-factors of both models and binding the common factors in one category, we accomplish one model. And we tested the model by empirical method. The results show that the results from the unified model are almost same as the results from the two models. In other words, the unified model works. Conclusions – Explaining one state of affair by two different method is in some sense distracting attention. By devising a new model including factors of both models, we can explain the affair more straightforward and efficiently. At first the technology acceptance model was devised to explain the technology users in an organization and the following tests and revised models were for the similar purposes. However, as on-lone activities including contracts have been expanded and become important, consumers as the technology uses have emerged as first factor to consider. In accordance models to explain this situation has been suggested. The model suggested in this research is one of the models but it has the following merits. That is, it is simple but has strong explanation power, it can clarify the process of technology acceptance of common consumers by containing negative sides of consumer conception, and thus, it can provide the opportunities to analyze the negative sides of new technology, also find ways to improve the level of acceptance by general consumers.

농어촌 체험 고객 만족에 영향을 미치는 요인

최양애,정병규 사단법인 한국벤처혁신학회 2019 벤처혁신연구 Vol.2 No.2

The purpose of this study is to explore the factors affecting rural experience by applying the unified push-pull-mooring model. The theoretical model is an unified PPM model that introduces new variables based on PPM. The pull factor of the newly introduced variables were reconstructed based on the Schmitt’s Experience model and ServQual model. The hypothesis is set as follows. The push factor will have a negative effect on experience satisfaction and the pull factor(experience attributes, service quality)will have a positive effect on experience satisfaction. Also, mooring factors will have a negative effect on experience satisfaction. The research model of this study was tested by structural equation model based on 314 effective questionnaire data. Service quality had a positive effect on experience satisfaction. Mooring factors have a negative effect on experience satisfaction. Push factor and experience attributes factor were analyzed to have a no significance effect on experience satisfaction. These results theoretically test that the mooring factors also have an important effect on the experience satisfaction in the rural experience. Based on the Schmitt’s Experience model and ServQual model introduced as a pull factor, the proposed unified PPM model proved to be a useful analysis framework. In practice, it was able to provide implications on what factors should be strategically and marketingly focused to activate the 6th industry experience. 본 연구의 목적은 농어촌 체험에 영향을 미치는 요인을 통합된 PPM모델(unified push-pull-mooring model)을 적용하여 탐색하는 것이다. 이론적인 모델은 PPM을 근간으로 하여 새로운 변수들을 도입한 통합된 PPM모델이다. 새롭게 도입된 변수 중 pull 요인은 체험이론과 ServQual 모형을 바탕으로 재구성하였다. 종속변수는 고객 만족을 설정하였다. 가설은 다음과 같이 설정하였다. Push 요인은 체험 만족에 부(-)의 영향을 미치고, Pull 요인인 체험요소와 체험품질은 체험 만족에 정(+)의 영향을 미칠 것이다. 또한, mooring 요인은 체험 만족에 부(-)의 영향을 미칠 것이다. 본 연구의 연구 모형을 314개 설문데이터를 기반으로 하여 구조방정식으로 검정하였다. 연구 결과 Pull 요인인 체험품질은 체험 만족에 정(+)의 영향을 미쳤다. Mooring 요인은 체험의도에 부(-)의 영향을 미치는 것으로 나타났다. 하지만, push 요인과 체험 만족 간, 체험요소와 체험 만족 간에는 유의한 영향 관계가 검정되지 않았다. 이러한 연구 결과는 이론적으로는 농어촌 체험에 있어서 기존의 pull, push 요인 위주의 분석에서 나아가 심리적인 mooring 요인도 체험에 중요한 영향을 미친다는 것을 검정하였다. Pull 요인으로 도입된 체험요소와 체험품질을 바탕으로 제안된 통합된 PPM모델이 유용한 분석의 틀이 될 수 있음을 검정하였다. 실무적으로는 농어촌 체험을 활성화시키기 위해 어떠한 요소에 전략적으로나 마케팅적으로 집중해야 하는지에 대한 시사점을 제공할 수 있었다.

Unified Theory on the Income Redistribution Effect of Basic Income

이건민 호남대학교 인문사회과학연구소 2023 인문사회과학연구 Vol.66 No.4

This paper presents a unified theory on the income redistribution effect of basic income by dividing the basic income model into (1) an internally funded model, in which finance is raised from individuals or households through taxes, (2) an externally funded model, financed by outside individuals or households, and (3) a mixed model of the internally and externally funded models. Section II outlines the income redistribution effect of the internally funded model, focusing on the Universal Basic Income-Flat Income Tax (UBI-FIT) model. Section III analyzes the income redistribution effect of the externally funded model. We then present a unified theory on the income redistribution effect of basic income in Section IV. In Section V, we show the formulas related to the net benefit and contribution amounts in three basic income models. The implications for the design of the overall basic income model are then presented. Section VI concludes.

모델 검증 시스템을 활용한 함정전투체계 소프트웨어에 일관된 UML 모델 적용 방법에 관한 연구

정승모(Seung-Mo Jung),이우진(Woo-Jin Lee) 한국컴퓨터정보학회 2022 韓國컴퓨터情報學會論文誌 Vol.27 No.5

최근 대규모 소프트웨어 개발하는 데 있어 불명확한 의사소통을 해결하기 위해 가독성이 높은 표준화된 UML(Unified Modeling Language) 모델 중심의 모델 기반 개발 방법이 적용되고 있다. 하지만 소프트웨어 개발자들의 숙련도, 모델 및 모델링 도구의 이해도에 따라 대규모 소프트웨어에 일관성 있는 UML 모델을 적용하기에는 어려움이 발생한다. 이에 본 논문에서는 소프트웨어 개발에 일관성 있는 UML 모델을 적용하기 위한 모델 검증 시스템 개발 방법을 제시한다. 그리고 개발된 모델 검증 시스템을 함정 전투체계 소프트웨어 개발에 일부 적용하여 기능을 입증한다. 모델 검증 시스템은 개발자들이 작성한 모델들을 도메인 특성에 맞게 자동으로 검증할 수 있는 기능을 제공한다. 본 논문에서 제안한 모델 검증 시스템을 사용하면 함정 전투체계 소프트웨어 개발에 좀 더 쉽게 일관성 있는 UML 모델을 적용할 수 있는 장점을 가진다. Recently, a model-based development method centered on highly readable and standardized UML (Unified Modeling Language) models has been applied to solve unclear communications in large-scale software development. However, it is difficult to apply consistent UML models depending on software developers’ proficiency, understanding of models and modeling tools. In this paper, we propose a method for developing a Model Verification System to apply an consistent UML model to software development. Then, the developed Model Verification System is partially applied to the Naval Combat System Software development to prove its function. The Model Verification System provides automatic verification of models created by developers according to domain characteristics. If the Model Verification System proposed in this paper is used, It has the advantage of being able to apply the consistent UML model more easily to Naval Combat System Software Development.

은유해석모델

김기수 한국중앙영어영문학회 2010 영어영문학연구 Vol.52 No.3

This paper aims to suggest a unified model of metaphor interpretation that reconciles two competing models, conceptual metaphor model and attributive categorization model. There has been much debate about which model offers the most veridical account of how people interpret metaphors. But there is the possibility of reconciling two rival models. Proponents of conceptual metaphor and attributive categorization models of metaphor have differently sampled metaphors. Proponents of conceptual metaphor model have chosen relational and double metaphors, but proponents of attributive categorization model have chosen double and attributional metaphors. Also proponents of conceptual metaphor model have chosen novel and conventional metaphors, but proponents of attributive categorization model have chosen conventional and dead metaphors. I here offer a unified model of metaphor interpretation (31). In model (31) there are three types of metaphor. Type 1 metaphors are interpreted in a comparison mode, type 2 metaphors are interpreted in a comparison mode in some contexts and in a categorization mode in other contexts. and type 3 metaphors are interpreted in a categorization mode. Type 1 is novel, relational metaphors, type 2 is conventional, double metaphors, and type 3 is dead, attributional metaphors.

A Unified Analytical One-Dimensional Surface Potential Model for Partially Depleted (PD) and Fully Depleted (FD) SOI MOSFETs

RAHUL PANDEY,ALOKE K. DUTTA 대한전자공학회 2011 Journal of semiconductor technology and science Vol.11 No.4

In this work, we present a unified analytical surface potential model, valid for both PD and FD SOI MOSFETs. Our model is based on a simplified one dimensional and purely analytical approach, and builds upon an existing model, proposed by Yu et al. [4], which is one of the most recent compact analytical surface potential models for SOI MOSFETs available in the literature, to improve its accuracy and remove its inconsistencies, thereby adding to its robustness. The model given by Yu et al. [4] fails entirely in modeling the variation of the front surface potential with respect to the changes in the substrate voltage, which has been corrected in our modified model. Also, [4] produces self-inconsistent results due to misinterpretation of the operating mode of an SOI device. The source of this error has been traced in our work and a criterion has been postulated so as to avoid any such error in future. Additionally, a completely new expression relating the front and back surface potentials of an FD SOI film has been proposed in our model, which unlike other models in the literature, takes into account for the first time in analytical one dimensional modeling of SOI MOSFETs, the contribution of the increasing inversion charge concentration in the silicon film, with increasing gate voltage, in the strong inversion region. With this refinement, the maximum percent error of our model in the prediction of the back surface potential of the SOI film amounts to only 3.8% as compared to an error of about 10% produced by the model of Yu et al. [4], both with respect to MEDICI simulation results.

통합기준점을 이용한 KOMPSAT-3A 영상의 정밀센서모델링 가능성 분석

윤완상,박형준,김태정 대한원격탐사학회 2018 大韓遠隔探査學會誌 Vol.34 No.6

In this paper, we analyze the feasibility of establishing a precise sensor model for highresolution satellite imagery using unified control points. For this purpose, we integrated unified control points and the aerial orthoimages from the national land information map (http://map.ngii.go.kr/ ms/map/NlipMap.do) operated by the National Geographic Information Institute (NGII). Then, we collected the image coordinates corresponding to the unified control point’s location in the satellite image. The unified control points were used as observation data for establishing a precise sensor model. For the experiment, we compared the results of precise sensor modeling using GNSS survey data and those using unified control points. Our experimental results showed that it is possible to establish a precise sensor model with around 2 m accuracy when using unified control points. 본 논문에서는 국가기준점 자료를 활용한 고해상도 위성영상의 정밀센서모델 수립 가능성에 대하여 분석하였다. 이를 위해 국토지리정보원에서 운영하는 국토정보맵(http://map.ngii.go.kr/ms/map/NlipMap.do)으로부터 통합기준점 조서와 항공정사영상 자료를 이용하여 위성영상에서 통합기준점에 해당하는 영상좌표를 취득한 뒤, 이를 정밀센서모델 수립을 위한 관측자료로 활용하였다. 통합기준점 자료의 활용 가능성 분석을 위해 본 논문에서는 GNSS 측량을 통해 획득한 기준점을 활용한 정밀센서모델링 결과와 통합기준점만을 활용한 정밀센서모델링 결과를 비교하였다. 실험 결과 통합기준점만을 활용하였을 때 약 2 m의 3차원 위치결정이 가능함을 확인하였다.

통합방법을 이용한 철근콘크리트부재의 비선형 유한요소해석

박홍근 한국콘크리트학회 1997 콘크리트학회지 Vol.9 No.2

2차원 응력상태의 철근콘크리트 부재해석을 위하여 소성이론과 파괴모델의 통합방법을 연구하였다. 콘크리트의 대별되는 두 가지 거동특성인 다차원 압축상태의 강도증가와 인장균열파괴를 동시에 나타내기 위하여, 압축파괴와 인장균열의 다중파괴기준을 사용하는 소성이론을 근간으로 여러 실험결과를 반영하는 파괴모델을 적용한다. 압축파괴기준으로서 Drucker-Prager모델과 von Mises 모델을 비교 사용하며 인장균열거동에 대하여 회전균열소성모델과 고정균열소성모델을 비교한다. 이러한 압축파괴기준과 이장균열파괴기준의 설정에는 다차원 압축상태의 강도증가, 균열로 인한 인장과 압축응력도의 저하, 보강철근의 영향등을 나타내는 실험식과 파괴에너지개념을 사용한다. 이 재료모델을 비선형유한요소해석에 사용하여 기존의 실험결과와 비교한다. 재료모델의 압축파괴와 인장균열거동을 검증하기 우하여 콘크리트의 압축파괴 또는 철근의 인장항복에 의하여 거동이 대별되는 실험들과 비교한다. Concrete plasticity models fol the analysis of reinforced concrete members in plane stress are studied. The proposed plasticity model for reinforced concrete provides a unified approach combining plasticity theory and damage models. It addresses strength mhancement under rnultiaxial compression. and tensile cracking damage. The model uses multiple failure criteria for compressive crushing and tensile cracking. For tensile cracking behavior. rotating-crack and fixed-crack plasticity models are compared. As crushing failure criterion, the Drucker-Prager and the von Mises models are used for comparison. The model uses now and existing damnge models fbr tension softening, tension stiffening. and compression softening dup to tensilt. cracking. Finite element analyses using the unified method are compatxd with existing rxpcrimcntal r.esults. To vei.ify the proposcd crushing and cracking plasticity models, the experiments have load capacities govc11.nc.d either by compressive crushing of'concrete or by yi~lding of' reinforcing steel.

A Unified Analytical One-Dimensional Surface Potential Model for Partially Depleted (PD) and Fully Depleted (FD) SOI MOSFETs

Pandey, Rahul,Dutta, Aloke K. The Institute of Electronics and Information Engin 2011 Journal of semiconductor technology and science Vol.11 No.4

In this work, we present a unified analytical surface potential model, valid for both PD and FD SOI MOSFETs. Our model is based on a simplified one dimensional and purely analytical approach, and builds upon an existing model, proposed by Yu et al. [4], which is one of the most recent compact analytical surface potential models for SOI MOSFETs available in the literature, to improve its accuracy and remove its inconsistencies, thereby adding to its robustness. The model given by Yu et al. [4] fails entirely in modeling the variation of the front surface potential with respect to the changes in the substrate voltage, which has been corrected in our modified model. Also, [4] produces self-inconsistent results due to misinterpretation of the operating mode of an SOI device. The source of this error has been traced in our work and a criterion has been postulated so as to avoid any such error in future. Additionally, a completely new expression relating the front and back surface potentials of an FD SOI film has been proposed in our model, which unlike other models in the literature, takes into account for the first time in analytical one dimensional modeling of SOI MOSFETs, the contribution of the increasing inversion charge concentration in the silicon film, with increasing gate voltage, in the strong inversion region. With this refinement, the maximum percent error of our model in the prediction of the back surface potential of the SOI film amounts to only 3.8% as compared to an error of about 10% produced by the model of Yu et al. [4], both with respect to MEDICI simulation results.

SVR을 사용한 데이터 학습 기반의 풍속 예측 모델 생성

서기성 한국지능시스템학회 2017 한국지능시스템학회논문지 Vol.27 No.6

Developing numerical models for weather prediction is a very difficult and expensive task. The approach to compensate numerical prediction models is mainly occupied, and the generation of daa tbased prediction models has hardly been tried. We have attemtepd to generate a data based prediction model of wind speed using SVR technique for long term data. Using the UM and KLAPS data from 2007 to 2013 year for Seoul, Busan, and Jeju Island, the prediction model was generated and the performance was evaluated. As a result, the results approximated to the compenation method were obtained. On the other hand, fundamental errors are included by using the generated values of the numerical prediction model instead of actual measurement data for predictor variables constituting the model. In order to solve this problem, we constructed a model using data with errors less than a certain level, which resulted in improved outcomess 기상 예측에 대한 수치 예보 모델을 개발하는 것은 매우 어렵고 비용이 많이 드는 작업이므로, 통계적 데이터 기반의 모델생성이 대안이 될 수 있다. 그러나 지금까지는 주로 수치 예보 모델을 보정하는 접근법이 주를 차지하고 있고, 데이터 기반의예보 모델 생성은 거의 시도되지 않고 있다. 본 논문에서는 장기간의 데이터에 대해서 SVR 기법을 사용하여 풍속에 대한데이터 기반 예보 모델을 생성한다. 서울, 부산, 제주도 지역에 대해서 2007~2013년도의 UM과 KLAPS 데이터를 사용하여모델을 생성하고 보정방식과 성능을 비교하여 근접한 성능 결과를 얻었다. 한편 모델을 구성하는 기본 인자들의 데이터가실측치가 아닌 수치예보모델에 의한 생성값을 사용함으로써 원천적인 오차를 포함하고 있다. 이 문제를 해결하기 위해서오차가 일정 수준 이하의 수치예보모델 데이터를 사용하여 모델을 구성하고 이를 통해 향상된 결과를 얻었다