999 resultados para search


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The Search (version 1) is one of a suite of drawings that responds to the work 'Kangaroo Stalking' by S.T.Gill. It also plays with certain ideas or problems in the depiction of landscape more broadly. The exhibition invited SCCA staff to each respond to a particular work within the Deakin collection.

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Purpose – The application of “Google” econometrics (Geco) has evolved rapidly in recent years and can be applied in various fields of research. Based on accepted theories in existing economic literature, this paper seeks to contribute to the innovative use of research on Google search query data to provide a new innovative to property research.

Design/methodology/approach – In this study, existing data from Google Insights for Search (GI4S) is extended into a new potential source of consumer sentiment data based on visits to a commonly-used UK online real-estate agent platform (Rightmove.co.uk). In order to contribute to knowledge about the use of Geco's black box, namely the unknown sampling population and the specific search queries influencing the variables, the GI4S series are compared to direct web navigation.

Findings – The main finding from this study is that GI4S data produce immediate real-time results with a high level of reliability in explaining the future volume of transactions and house prices in comparison to the direct website data. Furthermore, the results reveal that the number of visits to Rightmove.co.uk is driven by GI4S data and vice versa, and indeed without a contemporaneous relationship.

Originality/value – This study contributes to the new emerging and innovative field of research involving search engine data. It also contributes to the knowledge base about the increasing use of online consumer data in economic research in property markets.

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This paper investigates a new approach for solving the multiobjective job shop scheduling problem, namely the Cuckoo Search ( CS) approach. The requirement is to schedule jobs on a single machine so that the total material waste is minimised as well as the total tardiness time. The material waste is quantified in terms of saving factors to show the reduction in material that can be achieved when producing two jobs with the same materials in sequence. The estimated saving factor is used to calculate a cost savings for each job based on its material type. A formulation of multiobjective optimisation problems is adopted to generate the set of schedules that maximise the overall cost savings and minimise the total tardiness time. where all trade-offs are considered for the two conflicting objectives. A Pareto Archived Multiobjective Cuckoo Search (PAMOCS) is developed to find the set ofnondominated Pareto optimal solutions. The solution accuracy of PAMOCS is shown by comparing the closeness of the obtained solutions to the true Pareto front generated by the complete enumeration methad. Results shaw that CS is a very effective and promising technique to solve job shop scheduling problems.

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Radio Frequency Identification (RFID) is a technological revolution that is expected to soon replace barcode systems. One of the important features of an RFID system is its ability to search for a particular tag among a group of tags. This task is quite common where RFID systems play a vital role. To our knowledge not much work has been done in this secure search area of RFID. Also, most of the existing work do not comply with the C1G2 standards. Our work aims to fill that gap by proposing a protocol based on Quadratic Residues property that does not use the expensive hash functions or any complex encryption schemes but achieves total compliance with industry standards while meeting the security requirements.

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Providing opportunities for all people to become literate is now a global imperative (World Bank 2008). There are many and varied reasons underlying this emphasis including global, national, community and personal perspectives (Friere & Macedo 2000) and countries world-wide are investing more money into their early childhood programs and the development of associated policies (Oberhuemer 2005). From a socio-cultural view, literacy development is emergent, ongoing (Cook-Gumperz 2006) and multifaceted (New London Group 1999). Literacy involves far more than reading and writing and encompasses listening, speaking and critical thinking (Department of Education, Science and Training 2005, Luke & Freebody 1997). Literacy is not merely a curricular area, but an important empowering life skill (Harrison 2012, Friere & Macedo 2000). It seems logical then, to search for and identify if there are core principles underpinning early years literacy development.In seeking to identify core principles for emergent literacy development, the study reported here adopted Wiersma & Jurs' (2005) 'Four Step' Historical Research methodological approach involving the identification of a research problem, collection and evaluation of source materials, synthesis of information from the source materials and finally, the analysis, interpretation and the formulation of conclusions. The historical research approach requires creative interpretation (Keastle 1988) and is valued for its effectiveness in sourcing ideas, enlightening current debates, empowering decision-making (Stricker 1992) and influencing policy formation (Wiersma & Jurs 2005).This study involved analysis of Early Years Language and Emergent Literacy Research from the past decade, sourced via education and social sciences databases, as well as information gathered from correspondence with Australian government departments, their websites and policies. The findings from a synthesis of these data sources led to the identification of nine core principles viewed as underpinning children's emergent literacy development. Interested in exploring the relevance and application of these principles to the field of early childhood in Australia, additionally, the researcher has embarked upon a mapping exercise that reveals how the recently introduced Early Years Learning Frameworks align with these principles. Furthermore, in recognition of the importance of the early years as a crucial time in a child's literacy development (Cook-Gumperz 2006, Raban & Nolan 2005, Hall, Larson & Marsh 2003), it is argued that these literacy principles will be valuable to the development of a range of educational tools to be used by Pre-service and practicing Early years educators.

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Time series discord has proven to be a useful concept for time-series anomaly identification. To search for discords, various algorithms have been developed. Most of these algorithms rely on pre-building an index (such as a trie) for subsequences. Users of these algorithms are typically required to choose optimal values for word-length and/or alphabet-size parameters of the index, which are not intuitive. In this paper, we propose an algorithm to directly search for the top-K discords, without the requirement of building an index or tuning external parameters. The algorithm exploits quasi-periodicity present in many time series. For quasi-periodic time series, the algorithm gains significant speedup by reducing the number of calls to the distance function.

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Time-series discord is widely used in data mining applications to characterize anomalous subsequences in time series. Compared to some other discord search algorithms, the direct search algorithm based on the recurrence plot shows the advantage of being fast and parameter free. The direct search algorithm, however, relies on quasi-periodicity in input time series, an assumption that limits the algorithm's applicability. In this paper, we eliminate the periodicity assumption from the direct search algorithm by proposing a reference function for subsequences and a new sampling strategy based on the reference function. These measures result in a new algorithm with improved efficiency and robustness, as evidenced by our empirical evaluation.

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We experimentally examine posted pricing and directed search. In one treatment, capacity-constrained sellers post fixed prices, which buyers observe before choosing whom to visit. In the other, firms post both “single-buyer” (applied when one buyer visits) and “multibuyer” (when multiple buyers visit) prices. We find, based on a 2 × 2 (two buyers and two sellers) market and a follow-up experiment with 3 and 2 × 3 markets, that multibuyer prices can be lower than single-buyer prices or prices in the one-price treatment. Also, allowing the multibuyer price does not affect seller profits and increases market frictions.