Ying Pan, Lia H. Sun, Heqing Yang and Jianming Zheng
“Library + cultural tourism” (LCT) is a new direction for the sustainable development of libraries, but few scholars have researched it from a tourist perspective. The purpose of…
Abstract
Purpose
“Library + cultural tourism” (LCT) is a new direction for the sustainable development of libraries, but few scholars have researched it from a tourist perspective. The purpose of this paper is to identify what factors affect tourist satisfaction (TS) with LCT, reveal the interaction among these factors and provide strategies for better library services.
Design/methodology/approach
This study collected 5,308 comments on Tianjin Binhai Library from three popular online travel communities. Grounded theory was adopted to identify what factors affect TS with LCT and reveal the interaction among these factors.
Findings
The results indicated that TS with LCT was affected by complex factors related to tour plans, tour expectations, cultural characteristics, environment, support services and emotions. Cultural characteristics, environment and support services were impacted by tour plans and tour expectations, which directly or indirectly affected TS mediated by emotions. TS further influenced their expectation of their next tour.
Originality/value
This paper uncovered critical problems with LCT using a case study of Tianjin Binhai Library. The results provide a reference for library practitioners to develop better library services for tourists and regular users/readers.
Details
Keywords
Xiaoliang Qian, Heqing Zhang, Cunxiang Yang, Yuanyuan Wu, Zhendong He, Qing-E Wu and Huanlong Zhang
This paper aims to improve the generalization capability of feature extraction scheme by introducing a micro-cracks detection method based on self-learning features. Micro-cracks…
Abstract
Purpose
This paper aims to improve the generalization capability of feature extraction scheme by introducing a micro-cracks detection method based on self-learning features. Micro-cracks detection of multicrystalline solar cell surface based on machine vision is fast, economical, intelligent and easier for on-line detection. However, the generalization capability of feature extraction scheme adopted by existed methods is limited, which has become an obstacle for further improving the detection accuracy.
Design/methodology/approach
A novel micro-cracks detection method based on self-learning features and low-rank matrix recovery is proposed in this paper. First, the input image is preprocessed to suppress the noises and remove the busbars and fingers. Second, a self-learning feature extraction scheme in which the feature extraction templates are changed along with the input image is introduced. Third, the low-rank matrix recovery is applied to the decomposition of self-learning feature matrix for obtaining the preliminary detection result. Fourth, the preliminary detection result is optimized by incorporating the superpixel segmentation. Finally, the optimized result is further fine-tuned by morphological postprocessing.
Findings
Comprehensive evaluations are implemented on a data set which includes 120 testing images and corresponding human-annotated ground truth. Specifically, subjective evaluations show that the shape of detected micro-cracks is similar to the ground truth, and objective evaluations demonstrate that the proposed method has a high detection accuracy.
Originality/value
First, a self-learning feature extraction method which has good generalization capability is proposed. Second, the low-rank matrix recovery is combined with superpixel segmentation for locating the defective regions.
Details
Keywords
Conghui Fang, Lin Cui and Heqing Lian
This paper aims to offer a comprehensive description and analysis of electronic reserve services in academic libraries in China. It also seeks to describe possible solutions for…
Abstract
Purpose
This paper aims to offer a comprehensive description and analysis of electronic reserve services in academic libraries in China. It also seeks to describe possible solutions for libraries to build multi‐functional e‐reserve services in order to face the challenge of the vast expansion in both academia and the economy in modern China.
Design/methodology/approach
The paper reviews the recent literature on the practices of e‐reserve services, and analyses the results of the online surveys conducted in the 112 key university libraries in the China 211 Project, especially the top 15 university libraries.
Findings
The paper reveals that three‐level (national, regional, and campus‐wide) e‐reserve resource systems have been developed jointly or individually by Chinese academic libraries. Their development, implementation and implications are discussed; existing problems and possible solutions are identified.
Originality value
The paper provides insights into the recent development of e‐reserving services in Chinese academic libraries, offers useful information about e‐reserving resources for students and faculty, and recommends solutions to libraries for e‐reserve services.