1,720,964 research outputs found
Carnegie Libraries of Britain: Assets or Liabilities? Managing Altering Agendas of Energy Efficiency for Early 20th Century Heritage
After over a century of service, many Carnegie library buildings in Britain are at risk, often condemned for presumed poor energy performance with heritage protection perceived as a further burden to negotiate. Although most now have heritage status, saving them from demolition, demands to meet changing agendas for efficiency mean that increasingly these buildings are being sold and re-used. A more nuanced reading of measures of performance is necessary. By interrogating operational data in context and establishing indicators for life-cycle analysis, this paper aims to offer generalizable steps to justify their continued service in promoting wellbeing
Low-cost 3d acquisition of geometric data for living heritage: Attempting to record the Pudhu Mandapam, Madurai
The driving forces behind the rapid development of accessible 3d modelling acquisition are generally economic. As the requirements for on-site data acquisition technology become cheaper and more user friendly, opportunities for the geographic dislocation of expertise become more viable. In effect, much of the diagnosis of a monuments’ morphology or condition can be made remotely, as a virtual model is constructed. This potential portability serves to reduce the impact, invasiveness and cost of survey and documentation processes. In cases of contested heritage conservation practices, the simple act of photographic recording can cause concern. However, photogrammetric recording is eminently advantageous for its capacity to provide non-destructive means to consider degradation and condition mapping as well as to record and monitor change over time. Here, two rapid surveys taken with portable 360° cameras a year apart, demonstrate the potential value and limitations of deploying recent techniques in order to deliver credible or useful survey data in a highly complex pillared hall that is intensively occupied
How can century-old architectural hierarchies for the design of public libraries be re-interpreted and re-used?
Purpose: The purpose of this paper is to describe a novel approach to inform heritage conservation based on the effective integration of documentation-based research with advanced survey methods for the creation of a sharable historic building information modelling (HBIM) objects database, specifically oriented to the study of Carnegie libraries whose designs in the USA and the UK were somewhat systematised by early principles of standardisation. The aim is to generate an exemplar developing new methodologies for the salvage, re-use and re-invigoration of shared inherited public buildings which have many common and standardized features. Design/methodology/approach: This project will also involve the collaboration of conservation practice and digital recording together with library history. Digital laser scanning and structure from motion will be used together with archival documents to accurately build an information-rich framework for CAD and building information modelling applications. Findings: By providing the base elements for the semi-automatic generation of a wide variety of morphological typologies and construction elements, this work ultimately promotes a shift towards the implementation of HBIM to support the conservation, maintenance and management of a high number of insufficiently protected public buildings from the turn of the last century. Originality/value: The intention is that the resulting multidimensional parametric object library will provide suitable support for the faster generation of enriched 3D historic models and ultimately support the preservation of a large proportion of the huge but threatened public library building heritage in the UK and USA
Networking historic environmental standards to address modern challenges for sustainable conservation in HBIM
Awareness of the logic and context of original (and subsequent) design priorities is critical to informing decisions relating to valorisation, repair, refurbishment, energy retrofit or re-use of built heritage. A key benefit of collating data through Historic Building Information Modelling (HBIM) should be to assist others facing similar challenges. Here, examples for sharing understanding of how components belong to a system are outlined in the context of a newly completed dataset of public library buildings in the UK funded by Andrew Carnegie, predominantly built between 1900 and 1914. Demands for the functionality and economy of public library buildings, coupled with the emergent standardisation of building components at the time, provide a specific condition with potential for further iteration to other buildings of the period or related typologies. The work highlights the urgency of providing cost-efficient knowledge sharing structures in an era of altered priorities with respect to energy use for modern heritage. We propose the means for mapping common features to network knowledge amongst stakeholders through relevant open source pathways. The results demonstrate that integrating geographic approaches to knowledge sharing in HBIM with environmental considerations also supports wider questions of risk management related to the stewardship of historic buildings in the context of climate change
Between images and built form: Automating the recognition of standardised building components using deep learning
Building on the richness of recent contributions in the field, this paper presents a state-of-the-art CNN analysis method for automatingthe recognition of standardised building components in modern heritage buildings. At the turn of the twentieth century manufacturedbuilding components became widely advertised for specification by architects. Consequently, a form of standardisation across varioustypologies began to take place. During this era of rapid economic and industrialised growth, many forms of public building wereerected. This paper seeks to demonstrate a method for informing the recognition of such elements using deep learning to recognise'families' of elements across a range of buildings in order to retrieve and recognise their technical specifications from the contemporarytrade literature. The method is illustrated through the case of Carnegie Public Libraries in the UK, which provides a unique butubiquitous platform from which to explore the potential for the automated recognition of manufactured standard architecturalcomponents. The aim of enhancing this knowledge base is to use the degree to which these were standardised originally as a means toinform and so support their ongoing care but also that of many other contemporary buildings. Although these libraries are numerous,they are maintained at a local level and as such, their shared challenges for maintenance remain unknown to one another. Additionally,this paper presents a methodology to indirectly retrieve useful indicators and semantics, relating to emerging HBIM families, byapplying deep learning to a varied range of architectural imagery
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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