Given the importance of cross-project learning for continuous improvement in project-based organizations (PBOs), few studies have revealed how recipient employees’ expectations of internal and external knowledge results influence their continuance intention. Thus this study examines the impact of recipients’ internal knowledge expectations—perceived internal knowledge usefulness, growth, and accessibility-and positive expectation confirmation on their continuous cross-project learning intention and the moderating role of perceived external knowledge usefulness between internal knowledge expectations and continuance intention. Results of 318 valid questionnaires form China shows that recipients’ continuous cross-project learning intention is directly and positively affected by their internal knowledge expectations and satisfaction with learning, and is indirectly affected by their positive expectation confirmation through the mediating effect of internal knowledge expectations and satisfaction. Perceived external knowledge usefulness negatively moderates the relationship between perceived internal knowledge usefulness and continuance intention. Furthermore, the theoretical and practical implications of this study are presented along with acknowledged limitations and suggestions for further work. 相似文献
In the field of images and imaging, super-resolution (SR) reconstruction of images is a technique that converts one or more low-resolution (LR) images into a highresolution (HR) image. The classical two types of SR methods are mainly based on applying a single image or multiple images captured by a single camera. Microarray camera has the characteristics of small size, multi views, and the possibility of applying to portable devices. It has become a research hotspot in image processing. In this paper, we propose a SR reconstruction of images based on a microarray camera for sharpening and registration processing of array images. The array images are interpolated to obtain a HR image initially followed by a convolution neural network (CNN) procedure for enhancement. The convolution layers of our convolution neural network are 3×3 or 1×1 layers, of which the 1×1 layers are used to improve the network performance particularly. A bottleneck structure is applied to reduce the parameter numbers of the nonlinear mapping and to improve the nonlinear capability of the whole network. Finally, we use a 3×3 deconvolution layer to significantly reduce the number of parameters compared to the deconvolution layer of FSRCNN-s. The experiments show that the proposed method can not only ameliorate effectively the texture quality of the target image based on the array images information, but also further enhance the quality of the initial high resolution image by the improved CNN. 相似文献
Unplanned dilution and ore-loss are the most critical challenges in underground stoping operations. These problems are the main cause behind a mine closure and directly influencing the productivity of the underground stope mining and the profitability of the entire operation. Despite being aware of the significance of unplanned dilution and ore-loss, prediction of these phenomena is still unexplained as they occur through complex mechanisms and causative factors. Current management practices primarily rely on similar stope reconciliation data and the intuition of expert mining engineers. In this study, an innovative unplanned dilution and ore-loss (uneven break: UB) management system is established using a neuro-fuzzy system. The aim of the proposed decision support system is to overcome the UB phenomenon in underground stope blasting which provides quantitative prediction of unplanned dilution and ore-loss with practical recommendations simultaneously. To achieve the method proposed, an uneven break (UB) prediction system was developed by an artificial neural network (ANN) considering 1076 datasets covering 10 major UB causative factors collected from three underground stoping mines in Western Australia. In succession, the UB consultation system was established via a fuzzy expert system (FES) in reference to surveyed results of fifteen underground-mining experts. The UB prediction and consultation system were combined as one concurrent neuro-fuzzy system that is named the ‘uneven break optimiser’. Because the current UB prediction systems in investigated mines were highly unsatisfactory with correlation coefficient (R) of 0.088 and limited to only unplanned dilution, the performance of the proposed UB prediction system (R of 0.719) is a remarkable achievement. The uneven break optimiser can be directly employed to improve underground stoping production, and this tool will be beneficial not only for underground stope planning and design but also for production management. 相似文献
Neodymium doped bismuth ferrite (BiFeO3, BFO) nanoparticles were successfully synthesized by a facile sol–gel route. The influence of annealing temperature, time, Bi content and solvent on the crystal structure of BFO was studied. Results indicated that the optimum processing condition of BFO products was 550–600 °C/1.5 h with excess 3–6% Bi and ethylene glycol as solvent. On the other hand, Nd3+ ion was introduced into the BFO system and the effect of Nd3+ concentration on the structure, magnetic and dielectric properties of BFO were investigated. It was found that the magnetization of BFO was enhanced significantly with Nd3+ substitution, being attributed to the suppression of the spiral cycloidal magnetic structure led by the crystal structure transition. Furthermore, with increasing Nd3+ content, the dielectric constant was found to decrease while the dielectric loss was enhanced, which was mainly due to the hoping conduction mechanism with the reduction of oxygen vacancies. 相似文献
We propose a scheme to detect the spin heat accumulation (SHA), an effective spin-dependent electron temperature, via sign reversion of thermopower induced by the Majorana bound states (MBSs) coupled to a quantum dot (QD). The SHA is generated in either a nonmagnetic material or a ferromagnet serving as an electrode connected to the QD and leads the spin-up and spin-down thermopowers to change signs at different temperatures with the help of QD-MBSs coupling. The existence of the SHA then can be detected by the variation of the spin-polarized or even charge thermopower with respect to the magnitude of the SHA. Our numerical results show that the transition temperature of the thermopower is sensitive to QD-MBSs coupling strength, hybridization between the MBSs, and the ferromagnetism on the leads. Around the transition temperature, either 100% spin-polarized or pure spin thermopower can be generated by the combined effects of SHA and MBSs. We also find that the intradot Coulomb interaction does not change the qualitative results of the present scheme.