A robot arm simulation with a shared memory multiprocessor machine

A parallel processing scheme for a single chain robot arm is presented for high speed computation on a shared memory multiprocessor. A recursive formulation that is derived from a virtual work form of the d'Alembert equations of motion is utilized for robot arm dynamics. A joint drive system that consists of a motor rotor and gears is included in the arm dynamics model, in order to take into account gyroscopic effects due to the spinning of the rotor. The fine grain parallelism of mechanical and control subsystem models is exploited, based on independent computation associated with bodies, joint drive systems, and controllers. Efficiency and effectiveness of the parallel scheme are demonstrated through simulations of a telerobotic manipulator arm. Two different mechanical subsystem models, i.e., with and without gyroscopic effects, are compared, to show the trade-off between efficiency and accuracy

Student learning experiences in higher education in Hong Kong: An investigation of students’ experiences of academic engagement in relation to the affective dimension of learning

Academic engagement is positioned as an important determinant of student success in higher education for it is positively linked with academic performance and other positive qualities such as Psychological Capital (PsyCap) and students’ wellbeing. The positive link between academic engagement and PsyCap, as a positive psychological capacity, also indicates the importance role of the affective dimension of learning in influencing students’ academic engagement, however this dimension is under-represented in the current literature. Adopting a mixed methods approach, this study aims to examine the process of academic engagement in relation to the role of the affective dimension of learning, particularly in terms of students’ experiences and perception of their engagement in study. The present study was conducted in a private university in Hong Kong, where 270 students participated in a self-reported survey and 20 of them in the subsequent semi-structured interviews. Findings from the survey indicated a positive and reciprocal relationship between academic engagement and PsyCap that the two constructs have mutually influenced each other. The interview findings revealed the influence of various affective elements in promoting students’ academic engagement, which were characterised by affective-cognitive processes as students reported their experiences in detail. All these findings substantiate the influence of the affective dimension of learning on students’ academic engagement and expand the current understanding of academic engagement in higher education students, adding to the body of knowledge in the extant literature. It is hope that findings from the present study would illuminate possible avenues for educators to develop appropriate practices to promote academic engagement and the subsequent academic performance in university students

Hedonic Motivations for Online Shopping

The purpose of this study is to investigate hedonic online shopping motivations. A qualitative analysis was conducted to explore the factors influencing online hedonic shopping motivations. The results of the study indicate that traditional hedonic values, consisting of social, role, self-gratification, learning trends, pleasure of bargaining, stimulation, diversion, status, and adventure, and dimensions of flow theory, consisting of control, curiosity, enjoyment, and telepresence, exist in the online shopping environment. Two hedonic motivations unique to Internet shopping, privacy and online shopping achievement, were found. It appears that the most important hedonic value to online shoppers is having the choice to interact or not interact with others while shopping on the Internet. This study serves as a basis for the future growth of Internet marketing

Hedonic Motivations for Online Shopping

The purpose of this study is to investigate hedonic online shopping motivations. A qualitative analysis was conducted to explore the factors influencing online hedonic shopping motivations. The results of the study indicate that traditional hedonic values, consisting of social, role, self-gratification, learning trends, pleasure of bargaining, stimulation, diversion, status, and adventure, and dimensions of flow theory, consisting of control, curiosity, enjoyment, and telepresence, exist in the online shopping environment. Two hedonic motivations unique to Internet shopping, privacy and online shopping achievement, were found. It appears that the most important hedonic value to online shoppers is having the choice to interact or not interact with others while shopping on the Internet. This study serves as a basis for the future growth of Internet marketing

Maximizing Data Efficiency for Cross-Lingual TTS Adaptation by Self-Supervised Representation Mixing and Embedding Initialization

This paper presents an effective transfer learning framework for language adaptation in text-to-speech systems, with a focus on achieving language adaptation using minimal labeled and unlabeled data. While many works focus on reducing the usage of labeled data, very few consider minimizing the usage of unlabeled data. By utilizing self-supervised features in the pretraining stage, replacing the noisy portion of pseudo labels with these features during fine-tuning, and incorporating an embedding initialization trick, our method leverages more information from unlabeled data compared to conventional approaches. Experimental results show that our framework is able to synthesize intelligible speech in unseen languages with only 4 utterances of labeled data and 15 minutes of unlabeled data. Our methodology continues to surpass conventional techniques, even when a greater volume of data is accessible. These findings highlight the potential of our data-efficient language adaptation framework.Comment: Accepted by ASRU 202

Excavatoids E and F: Discovery of Two New Briaranes from the Cultured Octocoral Briareum excavatum

Two new briarane-related diterpenoids, designated as excavatoids E (1) and F (2), were isolated from the cultured octocoral Briareum excavatum. The structures of compounds 1 and 2 were established on the basis of extensive spectral data analysis. Briaranes 1 and 2 were found to exhibit moderate inhibitory effects on elastase release by human neutrophils