560 research outputs found
Between environmental literature and ocean literature, Syaman Rapongan and Liao Hongji
No full textThe 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 textThe 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
Meta-heuristic search methods for big data analytics and visualization of frequently changed patterns
No full textSubmitted in fulfilment of the requirements of the degree of Doctor of Philosophy in Information Technology (IT), Durban University of Technology, Durban, South Africa. 2019.Throughout the world, data plays a prominent role in making decisions relevant to the socio-economic growth of organizations. As organizations grow, they tend to use diverse technologies or platforms to collect data and make data readily available for quick decision-making. These technologies have resulted in exponential growth of data whereby the problem of managing this data in a limited time interval increases in complexity, starting from the preprocessing stage to the visualization stage. Apart from the issue of managing the huge growth of data, finding a suitable method to manage certain aspects of this frequently changed data has been overlooked. These frequent changes in data form the topic of interest of this thesis. Consequently, there is a need to develop a framework both to manage big data at different stages of processing, from preprocessing to visualization, and to handle frequently changed data. The need to develop such a framework arises because traditional methods/algorithms are limited to finding frequent patterns of frequently occurring items while overlooking frequently changed data, which has a numeric and time dimension that can provide interesting business insights. Additionally, traditional visualization methods are challenged with performance scalability and response time. This thesis looked at resolving this limitation by using a meta-heuristic/bio-inspired algorithm that is modelled based on observation of the behavior and characteristics of two different animals, namely the kestrel and the dung beetle. The motivation behind the use of these animals is their ability to explore, exploit and adapt to different situations in their natural environment. The development of the computational model and testing with actual data were formulated as a six-step procedure. Based on the six steps, the proposed computational model was evaluated against selected comparative algorithms, namely BAT, WSA-MP, PSO, Firefly and ACO. The main findings on optimal value/results suggest that, in handling frequently changed data during the data preprocessing, pattern discovery and visualization stages, the proposed computational models performed optimally against the comparative meta-heuristic algorithms on test datasets. Further statistical tests, using the Wilcoxon signed rank test, were conducted on optimal results from the comparative meta-heuristic algorithms. The basis for using the statistical procedure was to select the best choice of algorithm without making any underlying assumption on accuracy of results from the comparative meta-heuristic algorithms. Theoretically, the study contributes to enhancing frequency of item frameworks by including time and numeric dimensions of item occurrence. Practically, the contribution of the study lies in its finding frequently changed patterns in big data analytics. Additionally, the concept of half-life of substances/trails was applied as part of the computational model, and this also forms part of the unique contribution of this thesis. The half-life constitutes the lifetime of interestingness of recent patterns that were discovered. In summary, this thesis is about the mathematical formulation of animal behavior and characteristics into an implementable big data management algorithm and its application to frequently changed patterns.
Describing and Extending Classes with XMI: an Industrial Experience
No full textThis chapter reports on an industrial experience about the management and the evolution of classes in an automated way. Today’s software industries rely on software components that can be reused in different situations, in order to save time and reuseverified software. The object-oriented programming paradigm significantly supports component-oriented programming, by providing the class construct. Nevertheless, already-implemented components are often required to evolve toward new architecturalparadigms. Our approach enables the description of classes via XML (eXtensible Markup Language) documents, and allows the evolution of such classes via automated tools, which manipulate the XML documents in an appropriate way. To grant standarddescriptions compliant with the UML (Unified Modeling Language) model, we exploit the XMI (XML Metadata Interchange) interchange format, which is a standard, defined by OMG (Object Management Group), that puts together XML, UML and MOF (MetaObject Facility)
Highly (211)-Oriented CuBi2O4/TiO2 Heterojunction for Bifunctional Photoelectrochemical Water Splitting
No full textAlthough p-n heterojunctions are fundamental components in photovoltaics and energy conversion devices, an internal electric field loss arising from interfacial defects obstructs the investigation of photoelectrochemical properties using p-n oxide heterojunction photoelectrode. Achieving a high-quality p-n oxide heterojunction with a sharp interface provides an ideal platform for controlling internal electric fields without voltage loss due to structural defects. In this work, we fabricated highly (211)-oriented p-CuBi2O4 thin films with sharp interface grown on (110) n-TiO2 single-crystal substrate using pulsed laser deposition. The sharp heterointerface between (211) CuBi2O4 and (110) Nb:TiO2 resulted in the formation of a Schottky barrier with a height of 0.46 eV. This Schottky barrier suggests contributing to a bifunctional response resulting from a distinct bias-dependent band structure transformation, where space charge region occurred. The CuBi2O4/Nb:TiO2 heterostructure photoelectrode exhibited bifunctional (anodic/cathodic) photoelectrochemical properties, which show 47 and -77 mu A cm(-2) at a potential of 1.23 and 0 V-RHE, respectively. These findings provide valuable insights into the development of high-quality p-n heterojunction photoelectrodes for advanced bifunctional energy conversion technologies.
Acquiring data designs from existing data-intensive programs
No full textThe problem area addressed in this thesis is extraction of a data design from existing data intensive program code. The purpose of this is to help a software maintainer to understand a software system more easily because a view of a software system at a high abstraction level can be obtained. Acquiring a data design from existing data intensive program code is an important part of reverse engineering in software maintenance. A large proportion of software systems currently needing maintenance is data intensive. The research results in this thesis can be directly used in a reverse engineering tool. A method has been developed for acquiring data designs from existing data intensive programs, COBOL programs in particular. Program transformation is used as the main tool. Abstraction techniques and the method of crossing levels of abstraction are also studied for acquiring data designs. A prototype system has been implemented based on the method developed. This involved implementing a number of program transformations for data abstraction, and thus contributing to the production of a tool. Several case studies, including one case study using a real program with 7000 Hues of source code, are presented. The experiment results show that the Entity-Relationship Attribute Diagrams derived from the prototype can represent the data designs of the original data intensive programs. The original contribution of the thesis is that the approach presented in this thesis can identify and extract data relationships from the existing code by combining analysis of data with analysis of code. The approach is believed to be able to provide better capabilities than other work in the field. The method has indicated that acquiring a data design from existing data intensive program code by program transformation with human assistance is an effective method in software maintenance. Future work is suggested at the end of the thesis including extending the method to build an industrial strength tool
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