Different sets of drivers underlie different safety behaviors, and uncovering such complex patterns helps formulate targeted measures to cultivate behaviors. Machine learning can explore among behavioral data. This paper aims develop a classification framework for construction personnel’s behaviors with machine algorithms, including logistics regression (LR), support vector (SVM), random forest...

Functional design is a process includes function understanding, function recognition, function representation, function modeling and functionto-structure mapping. The effect in TRIZ is extended by multi-pole effect model and effect chain modes, and then the functions and flows in TRIZ are reclassified. The combinative relationships among functions are discussed, and the function modeling based ...

This paper presents an overview of how calcium interacts with the various essential nutrients within an environment of cellular and hormonal interactions for the purpose of increasing bioavailability to the human body. One example of such interactions can be illustrated with calcium homeostasis. This paper gives an indepth discussion on the possible interactive permutations with various nutrien...

Virtualization technology is widely used in server consolidation, high performance computing, and cloud data center due to its benefits on high resource utilization, flexible manageability, and dynamically scalability. However, it also introduces additional performance overheads. It’s worthy to evaluate the overheads and to find the bottleneck of virtualization in different scenarios. In this p...

Analyzing the limitations which exist in content-based image retrieval (CBIR) systems on optimization model, generalization design and retrieval efficiency, a combinative model based on image features correlation retrieval is designed, using some proper algorithms of image retrieval, relevance feedback principle and the advantage of DSP chip in image signal processing. The work mode is useful f...

Purpose This paper aims to enrich absorptive capacity literature by specifically highlighting and adding environmental conditions internationalisation process the original conceptualisation. Design/methodology/approach The authors undertake a conceptual analysis present an enhanced framework of integrating multiple streams. have analysed most relevant provide underlying justifications for propo...

The lack of strongly labeled data can limit the potential a Sound Event Detection (SED) system trained using deep learning approaches. To address this issue, paper proposes novel method to approximate strong labels for weakly Nonnegative Matrix Factorization (NMF) in supervised manner. Using combinative transfer and semi-supervised framework, two different Convolutional Neural Networks (CNN) ar...