54 resultados para Military campaigns.

em Deakin Research Online - Australia


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Research on media production and on media effects under military censorship has centred primarily on cross-border conflicts being waged by Western regimes. There is a noticeable void in understanding internal conflicts, particularly so within the Asian region. To help address this lacuna, we content-analyse Sri Lankan newspaper samples of two critical military campaigns within the Sri Lankan separatist conflict to gain insight into an Asian internal conflict within the context of military censorship and culture. We discover that supposedly stringent censorship regulations and the rules of the official communication systems have almost no effect on Sri Lankan newspapers, which demonstrate a unique talent to circumvent these strictures. During these bloody internal conflicts, the Sri Lankan press enjoyed freedom of expression, flaunted social responsibility and their watchdog instincts, and, most interestingly for us, demonstrated the failure of the Western propaganda model and other theoretical perspectives. The importance of understanding cultural dimensions before theorizing media behaviour in order to obtain a more rational understanding of the sociology of media is posited by this study. We conclude with discussion of a new model of media censorship which has more relevance in Asian internal conflicts.

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This book, based on extensive original research, examines the role of the military in Indonesian politics. It looks at the role of the military historically, examines the different ways it is involved in politics, and considers how the role of the military might develop in what is still an uncertain future.

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This study investigated the relation between the five-factor model (FFM) of personality trait domains and leadership effectiveness. Ninety-nine Australian Army commissioned officers completed the NEO Personality Inventory-Revised (NEO-PI-R; Costa & McCrae, 1992) and were rated by their superior officer on the Australian Army annual leadership effectiveness evaluation schedule. Participants indicated whether they had been selected to attend a leadership promotion course at the Army Command and Staff College, widely regarded within the Army as indicative of an officer's effectiveness. It was hypothesized that leadership effectiveness would be predicted by the personality trait domains of high Conscientiousness, Openness, Agreeableness, and Extraversion and by low Neuroticism. High Conscientiousness and low Extraversion scores predicted high leadership effectiveness and the likelihood of attending the leadership promotion course. High Openness scores also predicted the likelihood of attending the promotion course. The results support the utility of the FFM in exploring the role of personality in leadership effectiveness among military leaders.

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This paper introduces an aggregation algorithm for airborne swarming guided weapon systems, which can aggregate munitions into a given shape while reaching the surface. The algorithm uses an artificial force based controller to navigate the members of the swarm into the desired geographical position and evenly distribute them inside the shape. Inter-member repulsion forces are used to avoid collisions among members, which is crucial for a weapon deployment system. Moreover, a lower bound for the release height was obtained which guarantee convergence of the complete weapon system into the target area. The proposed swarming guided weapon system was tested using computer simulations.

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Fiji's total debt stands at 65% of GDP. Domestic debt constitutes 55% of GDP. The goal of this paper is to investigate whether military expenditure has contributed to Fiji's exploding debt levels over the period 1970 to 2005. Our empirical analysis, conducted within a cointegration and vector error-correction framework, suggests that, in the long-run, military expenditure has had a statistically significant positive impact on both external debt and domestic debt, while income has had a statistically significant positive impact on domestic debt and a statistically significant negative impact on external debt. We explain the reasons behind this finding and draw some policy implications.

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Objectives. We examined older people's attitudes about falls and implications for the design of fall-prevention awareness campaigns.

Methods
. We assessed data from (1) computer-assisted telephone surveys conducted in 2002 with Australians 60 years and older in Northern Rivers, New South Wales (site of a previous fall-prevention program; n=1601), and Wide Bay, Queensland (comparison community; n=1601), and (2) 8 focus groups (n=73).

Results. Participants from the previous intervention site were less likely than were comparison participants to agree that falls are not preventable (odds ratio [OR]=0.76; 95% confidence interval [Cl]=0.65, 0.90) and more likely to rate the prevention of falls a high priority (OR=1.31; 95% CI=1.09, 1.57). There was no difference between the groups for self-perceived risk of falls; more than 60% rated their risk as low. Those with a low perceived risk were more likely to be men, younger, partnered, and privately insured, and to report better health and no history of falls. Focus group data indicated that older people preferred messages that emphasized health and independence rather than falls.

Conclusions.
Although older people accepted traditional fall-prevention messages, most viewed them as not personally relevant. Messages that promote health and independence may be more effective.

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The field of electronic noses and gas sensing has been developing rapidly since the introduction of the silicon based sensors. There are numerous systems that can detect and indicate the level of a specific gas. We introduce here a system that is low power, small and cheap enough to be used in mobile robotic platforms while still being accurate and reliable enough for confident use. The design is based around a small circuit board mounted in a plastic case with holes to allow the sensors to protrude through the top and allow the natural flow of gas evenly across them. The main control board consists of a microcontroller PCB with surface mount components for low cost and power consumption. The firmware of the device is based on an algorithm that uses an Artificial Neural Network (ANN) which receives input from an array of gas sensors. The various sensors feeding the ANN allow the microcontroller to determine the gas type and quantity. The Testing of the device involves the training of the ANN with a number of different target gases to determine the weightings for the ANN. Accuracy and reliability of the ANN is validated through testing in a specific gas filled environment.