120 research outputs found

    Between environmental literature and ocean literature, Syaman Rapongan and Liao Hongji

    No full text
    The subject of the bachelor thesis is a literary analysis of selected works with oceanic subject matter by contemporary Taiwanese authors Syaman Rapongan (*1957) and Liao Hongji (*1957). Rapongan's novel The Eyes of the Sky (2012) and Liao Hongji's short story cycle Fishermen (1996) will be presented in the broader context of "bentu literature" (bentu wenxue; i.e., local Taiwanese literature) and closely related environmental and ocean literature. In the analytical part, the author will focus on the motivic construction in the work of Rapongan and Liao in relation to ocean and environmental themes. The main focus will be on the differences in the conception of the ocean and marine culture in Rapongan's work as a member of the indigenous tribe Tao, and Liao Hongji, whose origin is Han. The thesis further examines whether and how environmental and oceanic literature overlap, using Wu Mingyi's definition of environmental literature. Keywords Syaman Rapongan, Liao Hongji, ocean literature, environmental literature, bentu wenxu

    Between environmental literature and ocean literature, Syaman Rapongan and Liao Hongji

    No full text
    The subject of the bachelor thesis is a literary analysis of selected works with oceanic subject matter by contemporary Taiwanese authors Syaman Rapongan (*1957) and Liao Hongji (*1957). Rapongan's novel The Eyes of the Sky (2012) and Liao Hongji's short story cycle Fishermen (1996) will be presented in the broader context of "bentu literature" (bentu wenxue; i.e., local Taiwanese literature) and closely related environmental and ocean literature. In the analytical part, the author will focus on the motivic construction in the work of Rapongan and Liao in relation to ocean and environmental themes. The main focus will be on the differences in the conception of the ocean and marine culture in Rapongan's work as a member of the indigenous tribe Tao, and Liao Hongji, whose origin is Han. The thesis further examines whether and how environmental and oceanic literature overlap, using Wu Mingyi's definition of environmental literature. Keywords Syaman Rapongan, Liao Hongji, ocean literature, environmental literature, bentu wenxuePředmětem bakalářské práce je literárně-vědná analýza vybraných děl s oceánskou tematikou současných tchajwanských autorů Syamana Rapongana (*1957) a Liao Hongjiho (*1957). Raponganův román Oči Nebes (2012, přel. Šimonová, 2017) a Liao Hongjiho povídkový cyklus Rybáři (1996, přel. Krámská, 2017) budou představeny v širším kontextu "literatury bentu" (bentu wenxue; tj. místní taiwanské literatury) a s ní úzce související environmentální a oceánské literatury. V analytické části se autorka zaměří na motivickou výstavbu v tvorbě Rapongana a Liaoa ve vztahu s oceánskou a environmentální tematikou. Hlavní důraz bude kladen na rozdíly v pojetí oceánu a mořské kultury v tvorbě Rapongana jako příslušníka kmene původních obyvatel Tao, a Liao Hongjiho, jehož původ je hanský. Práce dále zkoumá, zda a jak se proudy environmentální a oceánské literatury překrývají, při čemž pracuje s definicí environmentální literatury podle Wu Mingyiho. Klíčová slova Syaman Rapongan, Liao Hongji, literatura oceánu, environmentální literatura, bentu wenxueKatedra sinologieDepartment of SinologyFilozofická fakultaFaculty of Art

    Low-cost automated construction of vectorized high-definition road maps for intelligent vehicles

    No full text
    As intelligent vehicles (IVs) applications expand to large-scale and open road scenarios, vectorized high-definition maps (VHD maps) demonstrate greater potential than traditional metric maps. Despite substantial progress, the low-cost automated construction of VHD maps remains a serious challenge, which has slowed their practical application. In this dissertation, we tackle the issue of low-cost automated VHD map construction by enhancing Inverse Perspective Mapping (IPM) technology. We begin with a straightforward scenario, proposing a framework that improves IPM through pose-guided optimization, specifically addressing the automated creation of high-definition angular marking maps (HDAM maps). This framework not only enhances the accuracy of IPM-based mapping results but also refines the initial estimates of the IPM matrix. We then extend this framework to encompass more complex transportation scenarios, incorporating additional traffic elements such as common ground markings and lane lines. To illustrate the practical value of VHD maps in IV applications, we focus on the state estimation task of autonomous vehicles (AVs). We introduce a universal state correction system that relies solely on VHD maps, enabling AVs to achieve higher state estimation accuracy compared to traditional simultaneous localization and mapping (SLAM) methods. To optimize the use of VHD maps, we propose a query-based data exchange protocol, allowing multiple vehicles to share the same map data, aligning with the future trend of crowdsourced mapping. In summary, this dissertation advances the low-cost automated construction of VHD maps and demonstrates their extensive potential in IV applications, particularly through the example of AV state estimation. The development of low-cost automated VHD maps paves the way for their broader adoption. The practical application of VHD map in the field of AV proves that this map form is not merely theoretical but meets the current needs of IVs and is poised to replace traditional metric-based maps.</p

    Full Information <i>H</i><sub>2</sub> Control of Borel-Measurable Markov Jump Systems with Multiplicative Noises

    No full text
    This paper addresses an H2 optimal control problem for a class of discrete-time stochastic systems with Markov jump parameter and multiplicative noises. The involved Markov jump parameter is a uniform ergodic Markov chain taking values in a Borel-measurable set. In the presence of exogenous white noise disturbance, Gramian characterization is derived for the H2 norm, which quantifies the stationary variance of output response for the considered systems. Moreover, under the condition that full information of the system state is accessible to measurement, an H2 dynamic optimal control problem is shown to be solved by a zero-order stabilizing feedback controller, which can be represented in terms of the stabilizing solution to a set of coupled stochastic algebraic Riccati equations. Finally, an iterative algorithm is provided to get the approximate solution of the obtained Riccati equations, and a numerical example illustrates the effectiveness of the proposed algorithm
    corecore