• Journal of the Korean Applied Science and Technology
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• v.27 no.2
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• pp.99-106
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• 2010

We have investigated the rheological behaviours of emulsions containing polymers. The polymers used in this study were polyacrylamide and carboxy vinyl polymer. The emulsion with polyacrylamide shows better prior preference than that with carboxy vinyl polymer on the skin texture. In the toxicity test, such as, LLNA cell toxicity, skin organ culture and human patch test, polyacrylamide was the appropriate materials for the cosmetics. The viscosity of polyacrylamide shows maximum value in neutral pH and good stability against temperature. The decreasing effect of viscosity against salt was not good enough but showed a better result than that of carboxy vinyl polymer. Two times the amount of polyacrylamide should be used for the formation of a similar viscosity of carboxy vinyl polymer. Yield value of polyacrylamide was low and the effect for the stabilizing emulsions was also low.

• Proceedings of the KOSOMBE Conference
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• v.1998 no.11
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• pp.135-136
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• 1998

The purpose of this study is to develope a validation method for driving simulator. Physiological responses such as EOG, ECG, and driver's behaviour were measured by using actual vehicles. The characteristics of the recognition of the acceleration by the human are investigated. These results showed that physiological responses was changed by the driving environment. Subject recognized that he drove more than real distance and turning angle.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1996.04a
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• pp.1-8
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• 1996

Many studies showed that small imperfections can also have a considerable influence on the behaviour of structures. Especially, in Single-Layer Latticed Domes, initial imperfection occurred by human error and construction error is very important to the buckling load. The definition of imperfection is that a node of structure shifts from perfect condition. For example, in the case of truss structures, imperfections are represented by shifting the location of nodal points relative to the position in which they would be for a perfect structure. This paper uses Arc-length Method in nonlinear iteration analysis, choosing star dome, in which many studies have been accomplished, as a model. The results of analysis show that initial imperfection can reduce the buckling load of structures.

• Computational Structural Engineering
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• v.10 no.2
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• pp.273-281
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• 1997

In the structural analysis, artificial neural networks as a parallel computational model that is similar to the human brain and can self-organize complex nonlinear relationships without making assumptions is introduced. The purpose of this paper is to develop the Neural Network for Approximate Structural Analysis(NNASA) to predict the behaviour of the stub-girder system. As an initial stage, the paper presents the development of the prototype of NNASA based on the problem related to the deflection of a simple beam, and shows the verification of this model by two examples.

• Information Display
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• v.15 no.5
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• pp.22-32
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• 2014

The current research intends to quantify the surround luminance effects on the shape of spatial luminance CSF and to propose an image quality evaluation method that is adaptive to both surround luminance and spatial frequency of a given stimulus. The proposed image quality method extends to a model called SQRI[8]. The non-linear behaviour of the HVS was taken into account by using CSF. This model can be defined as the square root integration of multiplication between display MTF and CSF. It is assumed that image quality can be determined by considering the MTF of the imaging system and the CSF of human observers. The CSF term in the original SQRI model was replaced by the surround adaptive CSF quantified in this study and it is divided by the Fourier transform of a given stimulus. A few limitations of the current work should be addressed and revised in the future study. First, more accurate model predictions can be achievable when the actual display MTF is measured and used instead of the approximation. Then, a further improvement to the model prediction accuracy can be made when chromatic adaptation of the HVS is taken into account[45-46].

• Tunnel and Underground Space
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• v.6 no.3
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• pp.260-266
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• 1996

Safety concern is one of the most important parameters in the design of explosive building demolition. Laboratory experiments were performed to investigate the failure behaviour of concrete columns and the effects of protection materials. Fourteen reinforced columns with two sizes were constructed and the effects of protection materials were tested for two kinds of materials: non woven fabrics and wire net. The results showed that control of gas effects is a key to the control of flying chips. It was recommended to use both wire net and non woven fabrics as primary and secondary protection materials. Such protection method was successfully applied to the explosive demolition of 16 and 17-strory apartment buildings.and the results of a simulation on a model tunneling workings using diesel equipments are introduced. In case of typical model of tunneling face, the gas concentration of human height is about one third of roof concentration and right side half of the tunnel shows better environment than left half. NOx concentration of workings can be estimated about 0.45ppm which is much lower than permissible level(5 ppm).

• Journal of Information Technology Applications and Management
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• v.28 no.5
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• pp.51-60
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• 2021

The main purpose of this study is to examine the factors that influence the employee's intention to leave the current job. A descriptive survey design was conducted and primary data were collected by using questionnaire. The study was based on random sampling; a sample of 200 was drawn from the employees who work in different micro finance institutions in Nepal. For the data analysis percentage analysis and chi square-test were used. The study revealed that salary, working condition, career growth, supervisor behavior and outstation influence the job quitting process. The study also defined the association between the reasons for leaving job such as salary, working condition, career growth supervisor behaviour & outstation and satisfaction, time spent in the organisation, training & development facility, frequency of changing job & encourage from immediate boss. This study establishes the importance of intentions of employees to quit job and provides further evidence in revealing the intentions to quit among the employees.

• Advances in Computational Design
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• v.3 no.4
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• pp.339-366
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• 2018

Parametric design systems serve as powerful assistive tools in the design process by providing a flexible approach for the generation of a vast number of design alternatives. However, contemporary parametric design systems focus primarily on low-level engineering and structural forms, without an explicit means to also take into account high-level, cognitively motivated people-centred design goals. We present a precedent-based parametric design method that integrates people-centred design "precedents" rooted in empirical evidence directly within state of the art parametric design systems. As a use-case, we illustrate the general method in the context of an empirical study focusing on the multi-modal analysis of wayfinding behaviour in two large-scale healthcare environments. With this use-case, we demonstrate the manner in which: (1). a range of empirically established design precedents -e.g., pertaining to visibility and navigation- may be articulated as design constraints to be embedded directly within state of the art parametric design tools (e.g., Grasshopper); and (2). embedded design precedents lead to the (parametric) generation of a number of morphologies that satisfy people-centred design criteria (in this case, pertaining to wayfinding). Our research presents an exemplar for the integration of cognitively motivated design goals with parametric design-space exploration methods. We posit that this opens-up a range of technological challenges for the engineering and development of next-generation computer aided architecture design systems.

• Advances in Computational Design
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• v.5 no.4
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• pp.417-443
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• 2020

Tunnels have been an integral part of human civilization. Due to complexity in its design and structure, the stability of underground structures under extreme loading conditions has utmost importance. Increased terrorism and geo-political conflicts have forced the engineers and researchers to study the response of underground structures, especially tunnels under blast loading. The present study has been carried out to seek the response of tunnel structures under blast load using the finite element technique. The tunnel has been considered in quartzite rock of northern India. The Mohr-Coulomb constitutive model has been adopted for the elastoplastic behaviour of rock. The rock model surrounding the tunnel has dimensions of 30 m x 30 m x 35 m. Both unlined and lined (concrete) tunnel has been studied. Concrete Damage Plasticity model has been considered for the concrete lining. Four different parameters (i.e., tunnel diameter, liners thickness, overburden depth and mass of explosive) have been varied to observe the behaviour under different condition. To carry out blast analysis, Coupled-Eulerian-Lagrangian (CEL) modelling has been adopted for modelling of TNT (Trinitrotoluene) and enclosed air. JWL (Jones-Wilkins-Lee) model has been considered for TNT explosive modelling. The paper concludes that deformations in lined tunnels follow a logarithmic pattern while in unlined tunnels an exponential pattern has been observed. The stability of the tunnel has increased with an increase in overburden depth in both lined and unlined tunnels. Furthermore, the tunnel lining thickness also has a significant effect on the stability of the tunnel, but in smaller diameter tunnel, the increase in tunnel lining thickness has not much significance. The deformations in the rock tunnel have been decreased with an increase in the diameter of the tunnel.

• Journal of Fashion Business
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• v.16 no.4
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• pp.166-185
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• 2012

This study aims to examine the effects of talent types and appearance affect perception on the clothing consumption values in 367 adults(female and male). The present study is the first to consider both talent types and the appearance affect perception on the clothing consumption values correlates to appearance management behaviour. As a results, the talent type of 367 respondents was mean=3.324. The highest talent of 367 respondents was interpersonal talent, the lowest talent was logical-mathematical talent among 8 talent types. The effects of 8 talent types on 5 clothing consumption values were significant on the regression analysis, specifically the results showed that the effects of linguistic, musical, interpersonal and intrapersonal talents among 8 talent factors on the clothing consumption value were significant. Regression results showed that if the practical and the inner-directed appearance affect perception factors among 3 appearance affect perception factors increase by one standard deviation, the social, political, aesthetic, and emotional clothing consumption values increase by each standardized efficient ${\beta}$. The effects of 8 demographic factors on 5 clothing consumption values were significant on the regression analysis, specially, occupation, monthly clothing allowance, income, and sex variables were significant, the results revealed that if the occupation factor(specialist and administrator) increases by one standard deviation, the social, political, aesthetic, and emotional clothing consumption values increase by each standardized efficient ${\beta}$. Finally, this study suggests that the 3 independent variables(talent types, appearance affect perception factors, and demographic factors) were predictors related to clothing consumption values. The higher the score, it was concluded that the independent variables were more active in clothing consumption behaviour.