Coating regenerated cellulose fibers with gold nanoparticles for uv-protection and anti-bacterial properties

A facile green synthesis route for gold nanoparticles (AuNPs) was developed to realize multifunction for Ioncell fabrics. Bleached birch pulp was used to prepare gold nanoparticles (AuNPs) by reducing chloroauric acid (CA) in situ on cellulose, forming cellulose-AuNPs compounds. The color of pulp changed from white to purple due to the localized surface plasmon resonance (LSPR) effect of AuNPs. Subsequently, the obtained colored pulp was utilized to spin fibers after dissolving in the [DBNH][ OAc]. And finally, the fabrics were knitted for the end-use. During this process, factors including the added amount of CA solution, pH, the addition of CTAB, and the combination of silver ions, were studied. The Ioncell fibers treated with AuNPs showed good mechanical properties. Moreover, the AuNPs endowed Ioncell fabrics with excellent washing fastness and strong UV protection property

THE RELATIONSHIP BETWEEN TEACHER'S PERCEPTION OF SCHOOL CLIMATE AND THEIR JOB SATISFACTION AT EXPERIMENTAL MIDDLE SCHOOL, ZHONGSHAN CITY, GUANGDONG, CHINA

In this research, the research instruments used were the Organizational Climate Index (OCI) designed by Hoy, Smith, and Sweetland (2002) based on the Open and Closed School Climate and the Healthy School Climate Theory, and the Organizational Climate Index (OCT) to determine teachers' perception of the school climate, which initially designed by Hoy et al. (2002). The collected data was analyzed by Descriptive statistics, Frequency and Percentage, Mean and Standard Deviation, and Pearson Product Moment Correction Coefficient.Researchers collected basic information from 56 teachers at the selected school, including teaching experience, year, age, and educational level. The research findings showed the level of the teachers' perceptions of the school climate was high(3.60), while the level of the teachers' job satisfaction at this Middle School was high(3.62). The correlation analysis result showed a strong positive relationship between teachers' perceptions of the principal's transformational leadership style and their job satisfaction at Experimental Middle school in Zhongshan City, China

iDF-SLAM: End-to-End RGB-D SLAM with Neural Implicit Mapping and Deep Feature Tracking

We propose a novel end-to-end RGB-D SLAM, iDF-SLAM, which adopts a feature-based deep neural tracker as the front-end and a NeRF-style neural implicit mapper as the back-end. The neural implicit mapper is trained on-the-fly, while though the neural tracker is pretrained on the ScanNet dataset, it is also finetuned along with the training of the neural implicit mapper. Under such a design, our iDF-SLAM is capable of learning to use scene-specific features for camera tracking, thus enabling lifelong learning of the SLAM system. Both the training for the tracker and the mapper are self-supervised without introducing ground truth poses. We test the performance of our iDF-SLAM on the Replica and ScanNet datasets and compare the results to the two recent NeRF-based neural SLAM systems. The proposed iDF-SLAM demonstrates state-of-the-art results in terms of scene reconstruction and competitive performance in camera tracking.Comment: 7 pages, 6 figures, 3 table

Efficient Approaches for Voice Change and Voice Conversion Systems

In this thesis, the study and design of Voice Change and Voice Conversion systems are presented. Particularly, a voice change system manipulates a speaker’s voice to be perceived as it is not spoken by this speaker; and voice conversion system modifies a speaker’s voice, such that it is perceived as being spoken by a target speaker. This thesis mainly includes two sub-parts. The first part is to develop a low latency and low complexity voice change system (i.e. includes frequency/pitch scale modification and formant scale modification algorithms), which can be executed on the smartphones in 2012 with very limited computational capability. Although some low-complexity voice change algorithms have been proposed and studied, the real-time implementations are very rare. According to the experimental results, the proposed voice change system achieves the same quality as the baseline approach but requires much less computational complexity and satisfies the requirement of real-time. Moreover, the proposed system has been implemented in C language and was released as a commercial software application. The second part of this thesis is to investigate a novel low-complexity voice conversion system (i.e. from a source speaker A to a target speaker B) that improves the perceptual quality and identity without introducing large processing latencies. The proposed scheme directly manipulates the spectrum using an effective and physically motivated method – Continuous Frequency Warping and Magnitude Scaling (CFWMS) to guarantee high perceptual naturalness and quality. In addition, a trajectory limitation strategy is proposed to prevent the frame-by-frame discontinuity to further enhance the speech quality. The experimental results show that the proposed method outperforms the conventional baseline solutions in terms of either objective tests or subjective tests

Audio Transformations for the Enhancement of a Multiband Mosaicing Algorithm and Textures

Document is abstract submission for conference, see pdf downloa

Audio Transformations for the Enhancement of a Multiband Mosaicing Algorithm and Textures

Document is abstract submission for conference, see pdf downloa