Implementing generative adversarial networks for increasing performance of transmission fault classification

An electrical power system is a network that facilitates the sourcing, transfer, and distribution of electrical energy. In the traditional power system, there are eleven types of faults that can occur in the system. This paper focuses on the classification of these faults over a stretch of 100 kilometres. The dataset used is synthetic and generated from a simulated model using MATLAB/Simulink software. Data augmentation is carried out during training to improve the accuracy of the classification. An indirect training approach through generative adversarial network (GAN) is used to classify these overhead transmission line faults. The random forest (RF) classification is used as the base learning model on the original dataset and it achieves accuracy of 84%. However, the base learner RF when used on GAN model generated augmented faulty data, it performs exceptionally well achieving 99% accuracy. One of the recent state-of-art methods is compared with this approach

Semitransparent Perovskite Solar Cells for Building Integrated Photovoltaics: Recent Advances

Perovskite solar cells technology is one of the most advanced and fascinating technologies in the field of photovoltaics due to its low-cost processing and delivering efficient power conversion efficiencies. The ability to become transparent is another prolific property of the perovskite solar cells, which this property has been tried to be exploited in recent times by researchers to serve the environmental and energy needs of human beings. Using this transparency and enabling semitransparent perovskite solar cells (ST-PSCs) to be placed on the windows and rooftops of buildings will reduce room temperature along with fulfilling certain requirements of power needs. This review pays attention to the recent developments in the semitransparent perovskite solar cells from the perspective of the structure of ST PSCs, electrodes and others

Multi-Cultural Expedition into Mindfulness among High School Students

Many international college students know first-hand that striving for academic success can be stressful, especially far apart from the support and comfort of home. In today’s fast paced world, hardly anyone is exempt from stress, and American high school students are no exception. A recent University of California at Los Angeles study discovered that, among 106 secondary school students, the percentage reporting good or above-average high school emotional well-being declined from 55.3 percent in 2009 to 51.9 percent in 2010 (Nauert, 2011). In an attempt to curb this trend, during the fall semester of 2011, a local high school psychology teacher invited the authors of this article to speak with her 4 psychology classes about stress and relaxation as part of a continuing collaboration with Arkansas State University professors of psychology.</jats:p