Abstract-In this paper, we argue that, success and failures in online learning is mostly depending on personal factors rather than factors influenced by the surroundings or the external environment. Students' individual behavior plays an important role in learning. However, this may not be the case in classroom-based learning or time-tested traditional practices of learning, where multiple students learn together, as well as teachers influence the underperforming students to perform better. In this paper, we explore comparisons between learner behavior in hierarchical individual mode or traditional classroom learning and in online courses such as Massive Open Online Courses (MOOC). MOOC learning belongs to the distributed individual mode of learning. The study is based on analyzing the learner's interests and understanding within such modes. The information is gathered based on results available since the introduction of MOOC from the reputed universities in the world and on the general opinions derived from perspectives of MOOC learners.Index Terms-MOOC, online, behavior, learning.
The millimeter-wave radar has been widely used in traffic applications. However, little research has been done to install the millimeter-wave radar on the top of a road for detecting road traffic flow at a downward looking direction. In this paper, the vehicle parameters, including the distance, angle and radar cross-section energy, are collected by practical experiments in the aforementioned application scenario. The data features are analyzed from the dimensions of single parameter sampling characteristics and multi-parameter relationships. Further, the correlations of different parameter series are given using the grey correlation analysis method. For millimeter-wave radar used in the traffic flow detection, our work can definitely provide significant support for further intelligent transportation applications, such as vehicle trajectory tracking, traffic flow estimation and traffic event identification.
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