Online taxicab platforms like DiDi and Uber have impacted hundreds of millions of users on their choices of traveling, but how do users feel about the ride-sharing services, and how to improve their experience? While current ride-sharing services have collected massive travel data, it remains challenging to develop data-driven techniques for modeling and predicting user ride experience. In this...

This paper explores the patterns of human activities within a geographical space by adopting the taxicab static points which refer to the locations with zero speed along the tracking trajectory. We report the findings from both aggregated and individual aspects. Results from the aggregated level indicate the following: (1) Human activities exhibit an obvious regularity in time, for example, the...

This study compares workplace dispute resolution strategies (exit, voice, and toleration) in matched pairs of conventional and worker-owned cooperative organizations operating in three industries – coal mining, taxicab driving, and organic food distribution. Building on Hirschman’s classic exit, voice, and loyalty thesis, this research demonstrates how the degree of loyalty that workers hold af...

This paper will present the important factors influencing spectral target recognition using multispectral data and suggest a different approach to small target recognition. The methodology of directed spectral search will be offered, including the use of spectral libraries, spectral similarity scores, and ROC curve analysis. The ability to find specific small targets, such as Saddam Hussein’s y...

Diophantine problems arise frequently in physics, for example anomaly cancellation conditions, string consistency conditions and so forth. We present methods to solve such high order on annealers that are based the quadratic Ising Model. This is intrinsic framework both quantum annealing common forms of classical simulated annealing. demonstrate method so-called Taxicab numbers (discovering som...

Learning analytics is focused on the educational challenge of optimizing opportunities for meaningful learning. Assessment deeply influences learning, but at the same time data about assessment are rarely considered and utilized by learning analytics. Current approaches to analysis and reasoning about peerassessment lack rigor and appropriate measures of reliability assessment. Our paper addres...