Does the Purpose of Using Social Media Platforms Affect Relations between Consumers and Brand?

This study explores consumers\u27 motivation to use social media platforms. Psychological Sense of Community and Media System Dependency theory have been used as a theoretical lens to explore consumers\u27 motivations

Does Consumer Innovativeness Matter? An Examination of Multi-Dimensional Consumer Innovativeness Motivation on Intention to Adopt 3D Printed Fashion Products

The purpose of this study was to examine a multi-dimensional model of consumer innovativeness in the context of 3D fashion products. In particular, this study explore multi-dimensional consumer innovativeness in relation to a hierarchical model of adoption of innovation (innate-domain specific-intention). A total of 328 useable complete responses were collected and analyzed with Mplus for the structural model and SPSS 23.0 for descriptive statistics. The results of this study confirm the effects of motivational innovativeness as a predisposition to have a positive attitude towards adoption of 3D printed fashion products

Light propagation in conjugated polymer nanowires decoupled from a substrate

Light-emitting conjugated polymer nanowires are vertically grown and remotely manipulated into a freestanding straight or curved structure in three-dimension. This approach enabled us to eliminate substrate coupling, a critical issue in nanowire photonics in the past decade. We for the first time accomplished characterization of propagation and bending losses of nanowires completely decoupled from a substrate

Does the Purpose of Using Social Media Platforms Affect Relations between Consumers and Brand?

This study explores consumers' motivation to use social media platforms. Psychological Sense of Community and Media System Dependency theory have been used as a theoretical lens to explore consumers' motivations.</p

Does Consumer Innovativeness Matter? An Examination of Multi-Dimensional Consumer Innovativeness Motivation on Intention to Adopt 3D Printed Fashion Products

The purpose of this study was to examine a multi-dimensional model of consumer innovativeness in the context of 3D fashion products. In particular, this study explore multi-dimensional consumer innovativeness in relation to a hierarchical model of adoption of innovation (innate-domain specific-intention). A total of 328 useable complete responses were collected and analyzed with Mplus for the structural model and SPSS 23.0 for descriptive statistics. The results of this study confirm the effects of motivational innovativeness as a predisposition to have a positive attitude towards adoption of 3D printed fashion products.</p

Localization based on two-stage treatment for dealing with noisy and biased distance measurements

Localization can be performed by trilateration in which the coordinates of a target are calculated by using the coordinates of reference points and the distances between each reference point and the target. Because the distances are measured on the basis of the time-of-flight of various kinds of signals, they contain errors which are the noise and bias. The presence of bias can become a major problem because its magnitude is generally unknown. In this article, we propose an algorithm that combines the Kalman filter (KF) and the least square (LS) algorithm to treat noisy and biased distances measured by chirp spread spectrum ranging defined in IEEE 802.15.4a. By using the KF, we remove the noise in the measured distance; hence, the noise-eliminated distance, which still contains bias, is obtained. The next step consists of the calculation of the target coordinates by using the weighted LS algorithm. This algorithm uses the noise-eliminated distance obtained by using the KF, and the weighting parameters of the algorithm are determined to reduce the effects of bias. To confirm the accuracy of the proposed algorithm, we present the results of indoor localization experiments.open114sciescopu

Understanding millennial consumer’s adoption of 3D printed fashion products by exploring personal values and innovativeness

Abstract The purpose of this study was to examine a hierarchical model of consumer innovativeness in the context of 3D fashion products. In particular, this study explored how different traits, such as personal values and innate innovativeness, predict a positive attitude towards 3D fashion products through domain-specific variables such as fashion innovativeness and fashion leadership. Using a convenience sample (n = 250), the data were collected through a self-administrated online survey. The results of this study identified personal values as an antecedent of innate innovativeness and found that fashion leadership played a critical mediating role between innate innovativeness and domain-specific innovativeness, in turn developing a positive attitude towards 3D fashion products which led to intention to use. Although the effect of innate innovativeness on domain-specific innovativeness (i.e., fashion innovativeness) was partially supported and no direct effects of personal values on domain-specific innovativeness was found, findings of this study contribute to existing literature on the Technology Acceptance Model and Consumer Innovativeness by examining additional predictors. The significant mediating role of fashion leadership was valuable as the result supported the key role of innovators as opinion leaders as discussed in the previous literature

Examination of Efficient Operation Method of ATES System by Comparison Operation with WTES System of Existent Heat Storage System

Aquifer thermal energy storage (ATES) system is widely used mainly in Europe and USA. In this paper, we examined the efficient operation method of ATES by comparing it with the water thermal energy storage (WTES) system of an existent thermal energy storage (TES) system using simulation. This study uses three aquifers: pumping wells, thermal storage wells, and reducing wells. The initial temperature is 19.1 °C groundwater from the surrounding area. ATES systems use the same operating methods as WTES systems to reduce heat storage efficiency and increase energy consumption. The operation that combines the ATES system with the pre-cooling/pre-heating coil can be used for air conditioning operation even if the heat storage diffuses or the pumping temperature changes. The aquifer heat storage system was used for the pre-cooling/pre-heating coil, and the cooling power consumption was reduced by 20%. The heating operation could not maintain heat for a long time due to the influence of groundwater flowing in from the surroundings. Therefore, it is recommended to use the stored heat as soon as possible. When energy saving is important by introducing a pre-cooling/pre-heating coil, the operation is performed by storing heat at a low temperature close to geothermal heat and also using groundwater heat. In addition, if the reduction of peak power in the daytime is important, it is appropriate to operate so that the heat stored in the pre-cooling/pre-heating coil is used up as much as possible. As a result, it was found that it is effective to operate the ATES system in combination with a pre-cooling/pre-heating coil. In cooling operation, ATES-C1-7 was the lowest at coefficient of performance (COP) 2.4 and ATES-C2-14 was the highest at COP 3.7. In heating operation, ATES-H1-45 was the lowest at COP1.2, and in other cases, it was about the same at COP2.4-2.8. In terms of energy efficiency, the heating operation ATES-H1-45 had a low energy efficiency of 4.1 for energy efficiency ratio (EER) and 3.9 for seasonal energy efficiency ratio (SEER). In other cases, the energy efficiency was 8.2–12.4 for EER and 8.7–15.3 for SEER

Robust Diagnosis Method Based on Parameter Estimation for an Interturn Short-Circuit Fault in Multipole PMSM under High-Speed Operation

This paper proposes a diagnosis method for a multipole permanent magnet synchronous motor (PMSM) under an interturn short circuit fault. Previous works in this area have suffered from the uncertainties of the PMSM parameters, which can lead to misdiagnosis. The proposed method estimates the q-axis inductance (Lq) of the faulty PMSM to solve this problem. The proposed method also estimates the faulty phase and the value of G, which serves as an index of the severity of the fault. The q-axis current is used to estimate the faulty phase, the values of G and Lq. For this reason, two open-loop observers and an optimization method based on a particle-swarm are implemented. The q-axis current of a healthy PMSM is estimated by the open-loop observer with the parameters of a healthy PMSM. The Lq estimation significantly compensates for the estimation errors in high-speed operation. The experimental results demonstrate that the proposed method can estimate the faulty phase, G, and Lq besides exhibiting robustness against parameter uncertainties