Linking Idol Attachment to Sense of Place: Application of Attachment Theory

Jiayu Zhou,Chulmo Koo 한국서비스디자인학회 2023 한국서비스디자인학회 학술대회자료집 Vol.2023 No.1

With the development of the “Hallyu” (Korean Wave) and people's deep understanding of South Korea, the phenomenon of “Hallyu ’’ idols driving tourism has become very common. Tourists, especially fans are no longer satisfied with the traditional tourist attractions with special symbolic meanings when visiting South Korea, but instead focus on common places associated with idols. For example, restaurants, cafes, bookstores, parks, and convenience stores that have appeared in idol's social network accounts. With the application of the theory of attachment and sense of place in the tourism field, this study will start from the celebrity attachment, to explore the specific processes and mechanisms by which idols affect the behavioral intentions of the fans. Relevant data were collected in the form of online questionnaires, and 440 valid responses were finalized for data analysis. Data analysis results show that idol attachment can positively influence the four cognitive dimensions of sense ofplace (place identity, place dependence, social bonding and atmosphere). The various dimensions of sense ofplace can promote the generation of place attachment. Place attachment ultimately positively affects a series of behavioral intentions, namely purchase intention, destination preference and information sharing.

The Vis-NIR multicolor emitting phosphor Ba4Gd3Na3(PO4)6F2: Eu2+, Pr3+ for LED towards plant growth

Ziwei Zhou,Niumiao Zhang,Jiayu Chen,Xianju Zhou,Maxim S. Molokeev,Chongfeng Guo 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.65 No.-

Photosynthesis process is the basic for plant growth, which needs energy from the light. The pigments of chlorophyll a, b and bacteriochlorophyll are responsible for the absorption of light, in which blue, red and near-infrared (NIR) light directly or indirectly promote the plant growth and enhancement of nurtiments. It is important for plant to support absorbable light, and phosphhor-converted light emitting diodes (pc-LEDs) are low-cost, energy-saving and enviromental friendly devices for plant growth. To develop a phosphor with emission covering the blue, red and NIR, a series of phosphors Ba4Gd3Na3(PO4)6F2: Eu2+, Pr3+ with blue, red and NIR multi-emitting were prepared. Their emissions not only match well with the absorption spectra of pigments in the plant, but also could be excited by near ultraviolet (n-UV) LED chip. The crystal structure of host Ba4Gd3Na3(PO4)6F2 was refined from the XRD data and three different crystallographic sites occupied by Eu2+ were determined through low temperature photoluminescence spectra. The energy transfer from Eu2+ to Pr3+ ions was also discussed in detail. Results indicated that the multi-emitting Ba4Gd3Na3(PO4)6F2: Eu2+, Pr3+ can serve as a phosphor candidate for plant growth LEDs.

Quality-Related Process Monitoring Based on a Bayesian Classifier

Hongping Zhou,Xiangyu Kong,Jiayu Luo,Qiusheng An,Hongzeng Li 한국정밀공학회 2023 International Journal of Precision Engineering and Vol.24 No.12

Multivariate statistical analysis approaches are extensively employed in process monitoring because they can effectively detect abnormal conditions in industrial processes. However, both Gaussian and non-Gaussian variables are often present in industrial processes. A single multivariate statistical process monitoring method often has difficulty simultaneously dealing with variable information of mixed distribution characteristics. This paper proposes a multivariate quality-related process monitoring method based on a Bayesian classifier to address this issue. The proposed method separates the variables into Gaussian and non-Gaussian parts using a Jarque–Bera test. Then, Gaussian and non-Gaussian properties are extracted through modified kernel partial least squares and kernel independent component analysis. After feature extraction, a Bayesian-based classifier relevance vector machine is constructed to monitor quality-related information of the process, which avoids the construction of a threshold in conventional methods and offsets the drawbacks of insufficient single statistic information. A numerical simulation and the Tennessee-Eastman process verify the effectiveness of the method.

Finite-Control-Set Model Predictive Control for Inductive Power Transfer Charging EV systems with Constant Voltage Load

Zeinab Karami,Jiayu Zhou,Giuseppe Guidi,Jon Are Suul 전력전자학회 2023 ICPE(ISPE)논문집 Vol.2023 No.-

This paper presents a finite-control-set model predictive control (FCS-MPC) strategy for achieving power control in inductive power transfer (IPT) -based electric vehicle (EV) charging systems. The proposed control method is applied to a series-series-compensated IPT system when charging a battery appearing as a constant voltage load (CVL). It has been previously shown that IPT systems with CVL can exhibit large current/power oscillations due to the low damping of a critical mode that can be excited by pulse skipping modulation techniques such as pulse density modulation (PDM). By predicting the next optimal switching states and the input power, the proposed control method will suppress the oscillations caused by pulse skipping operation, while ensuring a fast dynamic response and zero voltage switching (ZVS) operation. The effectiveness and performance of the proposed control method in comparison with a PI-based PDM method are verified by the simulation results.

Symposia : Chemical Genomics and Drug Discovery ; A non-peptidic agonist of glucagon-like peptide-1 receptors with efficacy in diabetic db/db mice

( Desu Chen ),( Jiayu Liao ),( Na Li ),( Cai Hong Zhou ),( Qing Liu ),( Guang Xing Wang ),( Rui Zhang ),( Song Zhang ),( Li Lin Lin ),( Kai Xian Chen ),( Xie Xin ),( Fa Jun Nan ),( Andrew A Young ),( 생화학분자생물학회 2007 생화학분자생물학회 춘계학술발표논문집 Vol.2007 No.-

Robust Organic Memristors for Neuromorphic Computing

Wen Li,Jiayu Li,Ye Chen,Yangzhou Qian,Jia Zhou,Mingdong Yi 한국고분자학회 2021 한국고분자학회 학술대회 연구논문 초록집 Vol.46 No.2

Materials (IAM), Nanjing University of Posts and Telecommunications Neuromorphic computing is considered to be a new computer architecture that can break through the von Neumann bottleneck in the era of big data and artificial intelligence because of its efficient information processing capabilities. Over the last decade, organic memristors have been under the spotlight of the neuromorphic research community not only for their capability of emulating functionalities of biological synapses but also for the merits of using organic materials including low cost, solution processability, and flexibility. However, delivering stable organic memristors under ambient condition remains a significant challenge. Recently we developed robust organic memristors through the use of environmentally stable materials and the fabrication of nanostructured film. The unencapsulated devices exhibit high operational stability under harsh conditions such as high and low temperature, high humidity, etc. These results could pave the way for organic memristors in progressing their practicality.

Left Ventricular Remodeling in Patients with Primary Aldosteronism: A Prospective Cardiac Magnetic Resonance Imaging Study

Wu Tao,Ren Yan,Wang Wei,Cheng Wei,Zhou Fangli,He Shuai,Liu Xiumin,Li Lei,Tang Lu,Deng Qiao,Zhou Xiaoyue,Chen Yucheng,Sun Jiayu 대한영상의학회 2021 Korean Journal of Radiology Vol.22 No.10

Objective: This study used cardiac magnetic resonance imaging (MRI) to compare the characteristics of left ventricular remodeling in patients with primary aldosteronism (PA) with those of patients with essential hypertension (EH) and healthy controls (HCs). Materials and Methods: This prospective study enrolled 35 patients with PA, in addition to 35 age- and sex-matched patients with EH, and 35 age- and sex-matched HCs, all of whom underwent comprehensive clinical and cardiac MRI examinations. The analysis of variance was used to detect the differences in the characteristics of left ventricular remodeling among the three groups. Univariable and multivariable linear regression analyses were used to determine the relationships between left ventricular remodeling and the physiological variables. Results: The left ventricular end-diastolic volume index (EDVi) (mean ± standard deviation [SD]: 85.1 ± 13.0 mL/m2 for PA, 75.9 ± 14.3 mL/m2 for EH, and 77.3 ± 12.8 mL/m2 for HC; p = 0.010), left ventricular end-systolic volume index (ESVi) (mean ± SD: 35.2 ± 9.8 mL/m2 for PA, 30.7 ± 8.1 mL/m2 for EH, and 29.5 ± 7.0 mL/m2 for HC; p = 0.013), left ventricular mass index (mean ± SD: 65.8 ± 16.5 g/m2 for PA, 56.9 ± 12.1 g/m2 for EH, and 44.1 ± 8.9 g/m2 for HC; p < 0.001), and native T1 (mean ± SD: 1224 ± 39 ms for PA, 1201 ± 47 ms for EH, and 1200 ± 44 ms for HC; p = 0.041) values were higher in the PA group compared to the EH and HC groups. Multivariable linear regression demonstrated that log (plasma aldosteroneto- renin ratio) was independently correlated with EDVi and ESVi. Plasma aldosterone was independently correlated with native T1. Conclusion: Patients with PA showed a greater degree of ventricular hypertrophy and enlargement, as well as myocardial fibrosis, compared to those with EH. Cardiac MRI T1 mapping can detect left ventricular myocardial fibrosis in patients with PA.

Design Methodology for Optimal Phase-Shift Modulation of Non-Inverting Buck-Boost Converters

Bingqing Shi,Zhengming Zhao,Kai Li,Gaohui Feng,Shiqi Ji,Jiayue Zhou 전력전자학회 2019 JOURNAL OF POWER ELECTRONICS Vol.19 No.5

The non-inverting buck-boost converter (NIBB) is a step-up and step-down DC-DC converter suitable for wide-input-voltagerange applications. However, when the input voltage is close to the output voltage, the NIBB needs to operate in the buck-boost mode, causing a significant efficiency reduction since all four switches operates in the PWM mode. Considering both the current stress limitation and the efficiency optimization, a novel design methodology for the optimal phase-shift modulation of a NIBB in the buck-boost mode is proposed in this paper. Since the four switches in the NIBB form two bridges, the shifted phase between the two bridges can serve as an extra degree of freedom for performance optimization. With general phase-shift modulation, the analytic current expressions for every duty ratio, shifted phase and input voltage are derived. Then with the two key factors in the NIBB, the converter efficiency and the switch current stress, taken into account, an objective function with constraints is derived. By optimizing the derived objective function over the full input voltage range, an offline design methodology for the optimal modulation scheme is proposed for efficiency optimization on the premise of current stress limitation. Finally, the designed optimal modulation scheme is implemented on a DSPs and the design methodology is verified with experimental results on a 300V-1.5kW NIBB prototype.

Design Methodology for Optimal Phase-Shift Modulation of Non-Inverting Buck-Boost Converters

Shi, Bingqing,Zhao, Zhengming,Li, Kai,Feng, Gaohui,Ji, Shiqi,Zhou, Jiayue The Korean Institute of Power Electronics 2019 JOURNAL OF POWER ELECTRONICS Vol.19 No.5

The non-inverting buck-boost converter (NIBB) is a step-up and step-down DC-DC converter suitable for wide-input-voltage-range applications. However, when the input voltage is close to the output voltage, the NIBB needs to operate in the buck-boost mode, causing a significant efficiency reduction since all four switches operates in the PWM mode. Considering both the current stress limitation and the efficiency optimization, a novel design methodology for the optimal phase-shift modulation of a NIBB in the buck-boost mode is proposed in this paper. Since the four switches in the NIBB form two bridges, the shifted phase between the two bridges can serve as an extra degree of freedom for performance optimization. With general phase-shift modulation, the analytic current expressions for every duty ratio, shifted phase and input voltage are derived. Then with the two key factors in the NIBB, the converter efficiency and the switch current stress, taken into account, an objective function with constraints is derived. By optimizing the derived objective function over the full input voltage range, an offline design methodology for the optimal modulation scheme is proposed for efficiency optimization on the premise of current stress limitation. Finally, the designed optimal modulation scheme is implemented on a DSPs and the design methodology is verified with experimental results on a 300V-1.5kW NIBB prototype.

Accelerated Time-of-Flight Magnetic Resonance Angiography with Sparse Undersampling and Iterative Reconstruction for the Evaluation of Intracranial Arteries

Hehan Tang,Na Hu,Yuan Yuan,Chunchao Xia,Xiumin Liu,Panli Zuo,Aurelien F. Stalder,Michaela Schmidt,Xiaoyue Zhou,Bin Song,Jiayu Sun 대한영상의학회 2019 Korean Journal of Radiology Vol.20 No.2

Objective: To compare the image quality of three-dimensional time-of-flight (TOF) magnetic resonance angiography (MRA) with sparse undersampling and iterative reconstruction (sparse TOF) with that of conventional TOF MRA. Materials and Methods: This study included 56 patients who had undergone sparse TOF MRA for intracranial artery evaluation on a 3T MR scanner. Conventional TOF MRA scans were also acquired from 29 patients with matched acquisition times and another 27 patients with matched scanning parameters. The image quality was scored using a five-point scale based on the delineation of arterial vessel segments, artifacts, overall vessel visualization, and overall image quality by two radiologists independently, and the data were analyzed using the non-parametric Wilcoxon signed-rank test. Contrast ratios (CRs) of vessels were compared using the paired t test. Interobserver agreement was calculated using the kappa test. Results: Compared with conventional TOF at the same spatial resolution, sparse TOF with an acceleration factor of 3.5 could reduce acquisition time by 40% and showed comparable image quality. In addition, when compared with conventional TOF with the same acquisition time, sparse TOF with an acceleration factor of 5 could also achieve higher spatial resolution, better delineation of vessel segments, fewer artifacts, higher image quality, and a higher CR (p < 0.05). Good-to-excellent interobserver agreement (к: 0.65–1.00) was obtained between the two radiologists. Conclusion: Compared with conventional TOF, sparse TOF can achieve equivalent image quality in a reduced duration. Furthermore, using the same acquisition time, sparse TOF could improve the delineation of vessels and decrease image artifacts.