<p>The purpose of this essay is to compare and contrast the two novels by focusing</p><p>on leadership and group dynamics. First, I explain some general terms like</p><p>primary and secondary groups, leader and leadership, and five different</p><p>leadership styles (autocratic, democratic, laissez-faire, task-motivated and</p><p>relationship-motivated leader), and then I apply the terms to the novels. In the</p><p>analysis I examine how some followers and group constellations react to different</p><p>kinds of leadership, and how the three leaders choose to approach their roles and</p><p>why they become successful or not.</p><p>The effect the democratic leadership has on both leaders and followers differs</p><p>between the novels. Homer in Tomorrow, When the War Began trusts his leadership</p><p>skills and gets appreciation from the primary group of friends he leads, while</p><p>Ralph in Lord of the Flies is disobeyed and challenged by his secondary group.</p><p>The group of teenagers grows stronger together, while the island boys disband as a</p><p>result of the power struggle between Ralph and Jack. The latter trusts his charisma</p><p>and threatens and punishes the boys in order to keep them under control. Jack</p><p>seems successful as an autocratic leader, since his followers carry out his orders</p><p>and let him be the unquestioned leader, but he is in the final analysis unsuccessful</p><p>since he fails to put the needs of his followers before his own strong desire for</p><p>power. Both Homer and Jack are strong leaders of their own primary group, and</p><p>one argument why they are more successful than Ralph is the loyalty they receive</p><p>from their followers. However, the reason for their faithfulness differs. In</p><p>Homer’s case it is friendship, and in Jack’s case it is fear of what he will do to</p><p>them if they defy him.</p>

The purpose of this essay is to compare and contrast the two novels by focusing on leadership and group dynamics. First, I explain some general terms like primary and secondary groups, leader and leadership, and five different leadership styles (autocratic, democratic, laissez-faire, task-motivated and relationship-motivated leader), and then I apply the terms to the novels. In the analysis I examine how some followers and group constellations react to different kinds of leadership, and how the three leaders choose to approach their roles and why they become successful or not. The effect the democratic leadership has on both leaders and followers differs between the novels. Homer in Tomorrow, When the War Began trusts his leadership skills and gets appreciation from the primary group of friends he leads, while Ralph in Lord of the Flies is disobeyed and challenged by his secondary group. The group of teenagers grows stronger together, while the island boys disband as a result of the power struggle between Ralph and Jack. The latter trusts his charisma and threatens and punishes the boys in order to keep them under control. Jack seems successful as an autocratic leader, since his followers carry out his orders and let him be the unquestioned leader, but he is in the final analysis unsuccessful since he fails to put the needs of his followers before his own strong desire for power. Both Homer and Jack are strong leaders of their own primary group, and one argument why they are more successful than Ralph is the loyalty they receive from their followers. However, the reason for their faithfulness differs. In Homer’s case it is friendship, and in Jack’s case it is fear of what he will do to them if they defy him.

Fast detection and identification of unknown substances is an area of interest for many parties. Raman spectroscopy is a laser-based method allowing for long range no contact investigation of substances. A Coded Aperture Snapshot Spectral Imaging (CASSI) system allows for fast and efficient measurements of hyperspectral images of a scene, containing a mixture of the spatial and spectral data. To analyze the scene and the unknown substances within it, it is required that the spectra in each spatial position are known. Utilizing the theory of compressed sensing allows for reconstruction of hyperspectral images of a scene given their CASSI measurements by assuming a sparsity prior. These reconstructions can then be utilized by a human operator to deduce and classify the unknown substances and their spatial locations in the scene. Such classifications are then applicable as decision support in various areas, for example in the judicial system. Reconstruction of hyperspectral images given CASSI-measurements is an ill-posed inverse problem typically solved by utilizing regularization techniques such as total variation (TV). These TV-based reconstruction methods are time consuming relative to the time needed to acquire the CASSI measurements, which is in the order of seconds. This leads to a reduced number of areas where the technology is applicable. In this thesis, a Generative Adversarial Network (GAN) based reconstruction method is proposed. A GAN is trained using simulated training data consisting of hyperspectral images and their respective CASSI measurements. The GAN provides a learned prior, and is used in an iterative optimization algorithm seeking to find an optimal set of latent variables such that the reconstruction error is minimized. The results of the developed GAN based reconstruction method are compared with a traditional TV method and a different machine learning based reconstruction method.  The results show that the reconstruction method developed in this thesis performs better than the compared methods in terms of reconstruction quality in short time spans.

"The sick body needs a doctor friend sick souls." (Menandros)