989 resultados para legacy system


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The historical case of David Unaipon is a good starting point for a wider discussion of Indigenous intellectual property law, practice and reform. His story is a microcosm of larger battles over the cultural appropriation of Indigenous culture, iconography and science. David Unaipon could be seen as a beneficiary of intellectual property law. He is a creator of copyright works; an inventor of patented inventions; and an iconic figure, worthy of personality rights. His creative and scientific work has been an inspiration for others. David Unaipon could also be seen as being disenfranchised by intellectual property law. He lost ownership of his economic rights in respect of literary works; and his moral rights have not been respected under copyright law. His case also highlights the deficiencies of copyright law in respect of its failure to provide comprehensive recognition of communal authorship and ownership of copyright works. While he was a patent applicant, David Unaipon never seemed to have benefitted from the patent system. His experience raises questions about access to justice. The government and commercial use of the persona of David Unaipon raises complex questions about trade mark law, passing off and personality rights. The story of David Unaipon highlights the need for the systematic and holistic reformation of intellectual property law, so that it better serves Indigenous communities and peoples.

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Väitöskirjatutkimuksessa tarkastellaan Taiwanin politiikkaa ensimmäisen vaalien kautta tapahtuneen vallanvaihdon jälkeen (2000) yhteiskunnan rakenteellisen politisoitumisen näkökulmasta. Koska Taiwanilla siirryttiin verettömästi autoritaarisesta yksipuoluejärjestelmästä monipuoluejärjestelmään sitä on pidetty poliittisen muodonmuutoksen mallioppilaana. Aiempi optimismi Taiwanin demokratisoitumisen suhteen on sittemmin vaihtunut pessimismiin, pitkälti yhteiskunnan voimakkaasta politisoitumisesta johtuen. Tutkimuksessa haetaan selitystä tälle politisoitumiselle. Yhteiskunnan rakenteellisella politisoitumisella tarkoitetaan tilannetta, jossa ”poliittisen” alue kasvaa varsinaisia poliittisia instituutioita laajemmaksi. Rakenteellinen politisoituminen muuttuu helposti yhteiskunnalliseksi ongelmaksi, koska siitä usein seuraa normaalin poliittisen toiminnan (esim. lainsäädännän) jähmettyminen, yhteiskunnan jyrkkä jakautuminen, alhainen kynnys poliittisille konflikteille ja yleisen yhteiskunnallisen luottamuksen alentuminen. Toisin kuin esimerkiksi Itä-Euroopassa, Taiwanissa entinen valtapuolue ei romahtanut poliittisen avautumisen myötä vaan säilytti vahvan rakenteellisen asemansa. Kun valta vaihtui ensimmäisen kerran vaalien kautta, vanha valtapuolue ei ollut valmis luovuttamaan poliittisen järjestelmän ohjaksia käsistään. Alkoi vuosia kestänyt taistelu järjestelmän hallinnasta vanhan ja uuden valtapuolueen välillä, jossa yhteiskunta politisoitui voimakkaasti. Tutkimuksessa Taiwanin yhteiskunnan politisoituminen selitetään useiden rakenteellisten piirteiden yhteisvaikutuksen tuloksena. Tällaisia politisoitumista edistäviä rakentellisia piirteitä ovat hidas poliittinen muutos, joka säilytti vanhat poliittiset jakolinjat ja niihin liittyvät vahvat edut ja intressit; sopimaton perustuslaki; Taiwanin epäselvä kansainvälinen asema ja jakautunut identiteetti; sekä sosiaalinen rakenne, joka helpottaa ihmisten nopeaa mobilisointia poliittiisiin mielenilmauksiin. Tutkimuksessa kiinnitetään huomiota toistaiseksi vähän tutkittuun poliittiseen ilmiöön, joidenkin demokratisoituvien yhteiskuntien voimakkaaseen rakenteelliseen politisoitumiseen. Tutkimuksen pääasiallinen havainto on, että yksipuoluejärjestelmän demokratisoituminen kantaa sisällään rakenteellisen politisoitumisen siemenen, jos entinen valtapuolue ei romahda demokratisoitumisen myötä.

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Energy plays a prominent role in human society. As a result of technological and industrial development,the demand for energy is rapidly increasing. Existing power sources that are mainly fossil fuel based are leaving an unacceptable legacy of waste and pollution apart from diminishing stock of fuels.Hence, the focus is now shifted to large-scale propagation of renewable energy. Renewable energy technologies are clean sources of energy that have a much lower environmental impact than conventional energy technologies. Solar energy is one such renewable energy. Most renewable energy comes either directly or indirectly from the sun. Estimation of solar energy potential of a region requires detailed solar radiation climatology, and it is necessary to collect extensive radiation data of high accuracy covering all climatic zones of the region. In this regard, a decision support system (DSS)would help in estimating solar energy potential considering the region’s energy requirement.This article explains the design and implementation of DSS for assessment of solar energy. The DSS with executive information systems and reporting tools helps to tap vast data resources and deliver information. The main hypothesis is that this tool can be used to form a core of practical methodology that will result in more resilient in time and can be used by decision-making bodies to assess various scenarios. It also offers means of entering, accessing, and interpreting the information for the purpose of sound decision making.

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A study was conducted in June 2009 to assess the current status of ecological condition and potential human-health risks throughout subtidal estuarine waters of the Sapelo Island National Estuarine Research Reserve (SINERR) along the coast of Georgia. Samples were collected for multiple indicators of ecosystem condition, including water quality (dissolved oxygen, salinity, temperature, pH, nutrients and chlorophyll, suspended solids, fecal coliform bacteria and coliphages), sediment quality (granulometry, organic matter content, chemical contaminant concentrations), biological condition (diversity and abundance of benthic fauna, fish tissue contaminant levels and pathologies), and human dimensions (fish-tissue contaminant levels relative to human-health consumption limits, various aesthetic properties). Use of a probabilistic sampling design facilitated the calculation of statistics to estimate the spatial extent of the Reserve classified according to various categories (i.e., Good, Fair, Poor) of ecological condition relative to established thresholds of these indicators, where available. Overall, the majority of subtidal habitat in the SINERR appeared to be healthy, with over half (56.7 %) of the Reserve area having water quality, sediment quality, and benthic biological condition indicators rated in the healthy to intermediate range of corresponding guideline thresholds. None of the stations sampled had one or more indicators in all three categories rated as poor/degraded. While these results are encouraging, it should be noted that one or more indicators were rated as poor/degraded in at least one of the three categories over 40% of the Reserve study area, represented by 12 of the 30 stations sampled. Although measures of fish tissue chemical contamination were not included in any of the above estimates, a number of trace metals, pesticides, polybrominated diphenyl ethers (PBDEs), and polychlorinated biphenyls (PCBs) were found at low yet detectable levels in some fish at stations where fish were caught. Levels of mercury and total PCBs in some fish specimens fell within EPA guideline values considered safe, given a consumption rate of no more than four fish meals per month. Moreover, PCB congener profiles in sediments and fish in the SINERR exhibit a relative abundance of higher-chlorinated homologs which are uniquely characteristic of Aroclor 1268. It has been well-documented that sediments and fish in the creeks and marshes near the LCP Chemicals Superfund site, near Brunswick, Georgia, also display this congener pattern associated with Aroclor 1268, a highly chlorinated mixture of PCBs used extensively at a chlor-alkali plant that was in operation at the LCP site from 1955-1994. This report provides results suggesting that the protected habitats lying within the boundaries of the SINERR may be experiencing the effects of a legacy of chemical contamination at a site over 40km away. These effects, as well as other potential stressors associated with increased development of nearby coastal areas, underscore the importance of establishing baseline ecological conditions that can be used to track potential changes in the future and to guide management and stewardship of the otherwise relatively unspoiled ecosystems of the SINERR.

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This paper is concerned with several of the most important aspects of Competence-Based Learning (CBL): course authoring, assignments, and categorization of learning content. The latter is part of the so-called Bologna Process (BP) and can effectively be supported by integrating knowledge resources like, e.g., standardized skill and competence taxonomies into the target implementation approach, aiming at making effective use of an open integration architecture while fostering the interoperability of hybrid knowledge-based e-learning solutions. Modern scenarios ask for interoperable software solutions to seamlessly integrate existing e-learning infrastructures and legacy tools with innovative technologies while being cognitively efficient to handle. In this way, prospective users are enabled to use them without learning overheads. At the same time, methods of Learning Design (LD) in combination with CBL are getting more and more important for production and maintenance of easy to facilitate solutions. We present our approach of developing a competence-based course-authoring and assignment support software. It is bridging the gaps between contemporary Learning Management Systems (LMS) and established legacy learning infrastructures by embedding existing resources via Learning Tools Interoperability (LTI). Furthermore, the underlying conceptual architecture for this integration approach will be explained. In addition, a competence management structure based on knowledge technologies supporting standardized skill and competence taxonomies will be introduced. The overall goal is to develop a software solution which will not only flawlessly merge into a legacy platform and several other learning environments, but also remain intuitively usable. As a proof of concept, the so-called platform independent conceptual architecture model will be validated by a concrete use case scenario.

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This article examines attempts to negotiate a perceived residual dominance of settler populations in South Africa and Zimbabwe by means of developmental and cultural policies deemed necessary to restore sovereignty to Africans. Indigenisation has become a preferred strategy for reconstructing post-colonial states in Africa: indigenisation of the economy as part of a Third Chimurenga in Zimbabwe and Black Economic Empowerment in the socio-cultural context of Ubuntu in South Africa. These are issues arising from the regional legacy of contested and uneven transitions to majority rule. Identifying how governments frame the ‘settler problem’, and politicise space in doing so, is crucial for understanding post-colonial politics. Indigenisation in Zimbabwe allows the government to maintain a network of patronage and official rhetoric is highly divisive and exclusivist although couched in terms of reclaiming African values and sovereignty. Revival of Ubuntu as a cultural value system in South Africa facilitates a more positive approach to indigenisation, although Black Economic Empowerment displays elitist tendencies and cultural transformation remains controversial and elusive. The perceived need to anchor policy in socially acceptable (i.e., ostensibly indigenous/traditional) contexts has become a prominent feature of post-colonial politics and is indicative of an indigenous turn in Southern African politics.

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In this paper, the support for legacy application, which is one of the important advantages of Grid computing, is presented. The ability to reuse existing codes/applications in combination with other Web/Internet technologies, such as Java, makes Grid computing a good choice for developers to wrap existing applications behind Intranet or the Internet. The approach developed can be used for migrating legacy applications into Grid Services, which speeds up the popularization of Grid technology. The approach is illustrated using a case study with detailed description of its implementation step by step. Globus Toolkit is utilized to develop the system.

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This essay argues that Romanticism’s legacy in modern Indian literature has been constructed under the shadow of its colonial heritage. Although the Romantic period witnessed the enthusiastic “discovery” of classical Indian literature by British Orientalists, Romantic imperialism (which went hand-in-hand with Romantic orientalism) played a darker role in instituting a colonial educational system in India which denigrated Indian languages and literatures. Modern Indian literature represented by popular fictional writers from R.K. Narayan to Arundhati Roy registers this complex colonial inheritance by its qualified and often ironic celebration of British Romantic literature along with its associated ideologies of freedom, truth, and beauty.

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Increased complexity and interconnectivity of Supervisory Control and Data Acquisition (SCADA) systems in Smart Grids potentially means greater susceptibility to malicious attackers. SCADA systems with legacy communication infrastructure have inherent cyber-security vulnerabilities as these systems were originally designed with little consideration of cyber threats. In order to improve cyber-security of SCADA networks, this paper presents a rule-based Intrusion Detection System (IDS) using a Deep Packet Inspection (DPI) method, which includes signature-based and model-based approaches tailored for SCADA systems. The proposed signature-based rules can accurately detect several known suspicious or malicious attacks. In addition, model-based detection is proposed as a complementary method to detect unknown attacks. Finally, proposed intrusion detection approaches for SCADA networks are implemented and verified using a ruled based method.

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Increased complexity and interconnectivity of Supervisory Control and Data Acquisition (SCADA) systems in Smart Grids potentially means greater susceptibility to malicious attackers. SCADA systems with legacy communication infrastructure have inherent cyber-security vulnerabilities as these systems were originally designed with little consideration of cyber threats. In order to improve cyber-security of SCADA networks, this paper presents a rule-based Intrusion Detection System (IDS) using a Deep Packet Inspection (DPI) method, which includes signature-based and model-based approaches tailored for SCADA systems. The proposed signature-based rules can accurately detect several known suspicious or malicious attacks. In addition, model-based detection is proposed as a complementary method to detect unknown attacks. Finally, proposed intrusion detection approaches for SCADA networks are implemented and verified via Snort rules.

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Drawing upon recent reworkings of world systems theory and Marx’s concept of metabolic rift, this paper attempts to ground early nineteenth-century Ireland more clearly within these metanarratives, which take the historical-ecological dynamics of the development of capitalism as their point of departure. In order to unravel the socio-spatial complexities of Irish agricultural production throughout this time, attention must be given to the prevalence of customary legal tenure, institutions of communal governance, and their interaction with the colonial apparatus, as an essential feature of Ireland’s historical geography often neglected by famine scholars. This spatially differentiated legacy of communality, embedded within a country-wide system of colonial rent, and burgeoning capitalist system of global trade, gave rise to profound regional differentiations and ecological contradictions, which became central to the distribution of distress during the Great Famine (1845-1852). Contrary to accounts which depict it as a case of discrete transition from feudalism to capitalism, Ireland’s pre-famine ecology must be understood through an analysis which emphasises these socio-spatial complexities. Consequently, this structure must be conceptualised as one in which communality, colonialism, and capitalism interact dynamically, and in varying stages of development and devolution, according to space and time.

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The Grid Execution Management for Legacy Code Architecture (GEMLCA) enables exposing legacy applications as Grid services without re-engineering the code, or even requiring access to the source files. The integration of current GT3 and GT4 based GEMLCA implementations with the P-GRADE Grid portal allows the creation, execution and visualisation of complex Grid workflows composed of legacy and nonlegacy components. However, the deployment of legacy codes and mapping their execution to Grid resources is currently done manually. This paper outlines how GEMLCA can be extended with automatic service deployment, brokering, and information system support. A conceptual architecture for an Automatic Deployment Service (ADS) and for an x-Service Interoperability Layer (XSILA) are introduced explaining how these mechanisms support desired features in future releases of GEMLCA.

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Although climate models have been improving in accuracy and efficiency over the past few decades, it now seems that these incremental improvements may be slowing. As tera/petascale computing becomes massively parallel, our legacy codes are less suitable, and even with the increased resolution that we are now beginning to use, these models cannot represent the multiscale nature of the climate system. This paper argues that it may be time to reconsider the use of adaptive mesh refinement for weather and climate forecasting in order to achieve good scaling and representation of the wide range of spatial scales in the atmosphere and ocean. Furthermore, the challenge of introducing living organisms and human responses into climate system models is only just beginning to be tackled. We do not yet have a clear framework in which to approach the problem, but it is likely to cover such a huge number of different scales and processes that radically different methods may have to be considered. The challenges of multiscale modelling and petascale computing provide an opportunity to consider a fresh approach to numerical modelling of the climate (or Earth) system, which takes advantage of the computational fluid dynamics developments in other fields and brings new perspectives on how to incorporate Earth system processes. This paper reviews some of the current issues in climate (and, by implication, Earth) system modelling, and asks the question whether a new generation of models is needed to tackle these problems.