FURTHER INVESTIGATION ON MAGNETICALLY INDUCED SUBSEQUENT FAULT AND STUDY ON ELECTROMAGNETIC SCATTERING OF OBJECTS BURIED BELOW A RANDOM ROUGH SURFACE

This dissertation contains two subjects: further development of numerical technique for the analysis of magnetically induced subsequent fault (MISFault) in overhead power lines and its implementation into a software upgrade; and first-phase of study on the electromagnetic scattering from objects buried below a random rough surface making use of the multidomain pseudospectral time domain (PSTD) method and Monte-Carlo simulation. An initial electric fault can result in strong magnetic torque on the overhead power line conductors, which will make them swing and may bring them to close proximity or in contact with one another, causing a subsequent fault. In Chapter 2, Computer simulations for the analysis of the subsequent fault in transition spans, which are often required in power line topology, are developed. A dynamic analysis of swing movement of power line conductors subsequent to an initial fault is presented to track the smallest distance between the conductors. In Chapter 3, the simulation is implemented into the upgrade of the MISFault analysis software. Its functions are depicted in details. The MISFault software is being used by Duke Energy Company and is expected to be useful to a utility for eliminating the magnetically induced subsequent faults. The multidomain pseudospectral time domain (PSTD) method has been developed and successfully applied to solve a variety of electromagnetic scattering problems in the past decade. It is a novel algorithm with improvement over traditional FDTD method. In Chapter 4, a multidomain PSTD algorithm is developed to investigate the scattering from a 2-D cylinder in free space. Sample numerical results are presented and validated. Then, the theoretical derivations are extended for the analysis of scattering from 2-D objects buried below a random rough surface

Bis{1-[(1H-benzotriazol-1-yl)meth­yl]-2-methyl-1H-imdazole-κN 3}dichlorido­zinc

In the mononuclear title compound, [ZnCl2(C11H11N5)2], the ZnII atom is coordinated by two Cl atoms and two imidazole N atoms in a distorted tetra­hedral geometry. Adjacent complex mol­ecules are stacked through aromatic π–π inter­actions; the closest distance between adjacent aromatic rings is 3.598 (2) Å

The Main Body and Legal Basis of American Graduate Degree Awarding Authority

The right to confer postgraduate degrees is involved a key measure to universities and its students. Nations in the world pay a very high attention to postgraduate education and play it core role. As we known, U.S. has rich resources and great influences in the field of higher education worldwide. And there are many students from all over the world to enroll American universities to study for master or doctor degree. Although the degree is divided into curriculum and paper degree, the quality of both are strictly regulated and guaranteed in the United States. The main body has become different types of universities and diversity pattern in the course of developing. The right to award degree was struggled by universities in the development of history, and it is a part of its charter. In the process, the legitimacy of awarding degree gradually was established. As so far, it is known as an important measure for the development of universities and students. There are different bodies of the right to grant graduate degrees in American universities, and the methods of obtaining graduate degrees are also different. How to ensure that the right to confer university degrees is not affected by the government and its actions? This paper will explicit from the point view of legal basis

Visual-assisted Outlier Preservation for Scatterplot Sampling

Scatterplot sampling has long been an efficient and effective way to resolve the overplotting issues commonly occurring in large-scale scatterplot visualization applications. However, it is challenging to preserve the existence of low-density points or outliers after sampling for a sub-sampling algorithm if, at the same time, faithfully representing the relative data densities is of importance. In this work, we propose to address this issue in a visual-assisted manner. While the whole dataset is sub-sampled, the density of the outliers is modeled and visually integrated into the final scatterplot together with the sub-sampled point data. We showcase the effectiveness of our proposed method in various cases and user studies