The Scholarly Journal Re-engineered: A Case Study of an Open Access Journal in Construction IT

Open access is a new model for the publishing of scientific journals enabled by the Internet, in which the published articles are freely available for anyone to read. During the 1990’s hundreds of individual open access journals were founded by groups of academics, supported by grants and unpaid voluntary work. During the last five years other types of open access journals, funded by author charges have started to emerge and also established publishers have started to experiment with different variations of open access. This article reports on the experiences of one open access journal (The Electronic Journal of Information Technology in Construction, ITcon) over its ten year history. In addition to a straightforward account of the lessons learned the journal is also benchmarked against a number of competitors in the same research area and its development is put into the larger perspective of changes in scholarly publishing. The main findings are: That a journal publishing around 20-30 articles per year, equivalent to a typical quarterly journal, can sustainable be produced using an open source like production model. The journal outperforms its competitors in some respects, such as the speed of publication, availability of the results and balanced global distribution of authorship, and is on a par with them in most other respects. The key statistics for ITcon are: Acceptance rate 55 %. Average speed of publication 6-7 months. 801 subscribers to email alerts. Average number of downloads by human readers per paper per month 21.

CAD Standardization in Construction – a Process View

There has been a demand for uniform CAD standards in the construction industry ever since the large-scale introduction of computer aided design systems in the late 1980s. While some standards have been widely adopted without much formal effort, other standards have failed to gain support even though considerable resources have been allocated for the purpose. Establishing a standard concerning building information modeling has been one particularly active area of industry development and scientific interest within recent years. In this paper, four different standards are discussed as cases: the IGES and DXF/DWG standards for representing the graphics in 2D drawings, the ISO 13567 standard for the structuring of building information on layers, and the IFC standard for building product models. Based on a literature study combined with two qualitative interview studies with domain experts, a process model is proposed to describe and interpret the contrasting histories of past CAD standardisation processes.

How do Researchers Find and Retrieve Scientific Publications – A Case study of the Impact of the Internet on the Construction IT and Construction Management Research Communities

The World Wide Web provides the opportunity for a radically changed and much more efficient communication process for scientific results. A survey in the closely related domains of construction information technology and construction management was conducted in February 2000, aimed at measuring to what extent these opportunities are already changing the scientific information exchange and how researchers feel about the changes. The paper presents the results based on 236 replies to an extensive Web based questionnaire. 65% of the respondents stated their primary research interest as IT in A/E/C and 20% as construction management and economics. The questions dealt with how researchers find, access and read different sources; how much and what publications they read; how often and to which conferences they travel; how much they publish, and what are the criteria for where they eventually decide to publish. Some of the questions confronted traditional and electronic publishing with one final section dedicated to opinions about electronic publishing. According to the survey researchers already download half of the material that they read digitally from the Web. The most popular method for retrieving an interesting publication is downloading it for free from the author’s or publisher’s website. Researchers are not particularly willing to pay for electronic scientific publications. There is much support for a scenario of electronic journals available totally freely on the Web, where the costs could be covered by for instance professional societies or the publishing university. The shift that the Web is causing seems to be towards the "just in time" reading of literature. Also, frequent users of the Web rely less on scientific publications and tend to read fewer articles. If available with little effort, papers published in traditional journals are preferred; if not, the papers should be on the Web. In these circumstances, the role of paper-based journals published by established publishers is shifting from the core "information exchange" to the building of authors' prestige. The respondents feel they should build up their reputations by publishing in journals and relevant conferences, but then make their work freely available on the Web.

SIG aplicado na identificação de áreas potenciais aos investimentos habitacionais Estudo de caso: porção oeste do Município do Rio de Janeiro.

A expansão industrial e o desenvolvimento territorial na porção oeste do Município do Rio de Janeiro trazem inúmeras modificações no cenário socioeconômico da região e adjacências. O destaque de investimentos na indústria de transformação é a implantação da Companhia Siderúrgica do Atlântico (CSA), que se mostra como o maior empreendimento privado em realização no país. Investimentos públicos e privados no setor de infraestrutura estão previstos, considerando as características naturais e a localização geográfica privilegiada da região. A influência do porto de Itaguaí e a construção do Arco Metropolitano configuram um corredor de desenvolvimento com reflexos positivos logísticos e socioeconômicos, não só para o estado do Rio de Janeiro, mas também para outros estados brasileiros. Os impactos da reordenação do espaço urbano, com a possibilidade de incremento populacional nas proximidades do novo eixo rodoviário e industrial, tende a gerar um aumento da demanda por serviços no setor terciário. Dessa forma, o planejamento territorial se faz obrigatório, apoiado por geotecnologias. O objetivo da pesquisa foi atender às necessidades do setor habitacional, analisando fatores relevantes e condições favoráveis à implantação de novas construções habitacionais. Baseando-se em dados provenientes do censo do IBGE de 2010 e do Instituto de Urbanismo Pereira Passos (IPP), a Tecnologia da Informação integrada com os dados de mapas digitais e imagens de satélite de alta resolução (World View-2), permitiram uma análise geral do contexto do crescimento regional. Além da análise das variáveis existentes nos dados socioeconômicos, outras variáveis de pesquisa foram empregadas em ambiente SIG, tais como: segurança, proximidades de logradouros principais, existências de escolas e hospitais municipais e estaduais, distância dos centros industriais e de shopping. Após as análises multicriteriais de dados socioeconômicos e bases cartográficas, relatórios na forma de mapas foram emitidos, com a finalidade de orientar o poder público e as construtoras nas tomadas de decisões.

Vibrio parahaemolyticus and the seafood industry

The role of Vibrio parahaemolyticus in food borne gastroenteritis outbreaks associated primarily with the consumption of contaminated seafoods has been well documented. Information pertaining to various aspects of its occurrence in seafoods, procedures for isolation and identification, generation time and inactivation profiles is discussed. Emphasis has been given to the response of V. parahaemolyticus to low temperatures, heating and antibacterial agents. The public health hazard posed by the pathogen is outlined and the guidelines for control are reviewed in detail.

Social sensing in the field: Challenges in detecting social interactions in construction sites

Construction industry is a sector that is renowned for the slow uptake of new technologies. This is usually due to the conservative nature of this sector that relies heavily on tried and tested and successful old business practices. However, there is an eagerness in this industry to adopt Building Information Modelling (BIM) technologies to capture and record accurate information about a building project. But vast amounts of information and knowledge about the construction process is typically hidden within informal social interactions that take place in the work environment. In this paper we present a vision where smartphones and tablet devices carried by construction workers are used to capture the interaction and communication between workers in the field. Informal chats about decisions taken in the field, impromptu formation of teams, identification of key persons for certain tasks, and tracking the flow of information across the project community, are some pieces of information that could be captured by employing social sensing in the field. This information can not only be used during the construction to improve the site processes but it can also be exploited by the end user during maintenance of the building. We highlight the challenges that need to be overcome for this mobile and social sensing system to become a reality. © 2012 ACM.

Identification of Materials from Construction Site Images Using Content Based Image Retrieval Techniques

The capability to automatically identify shapes, objects and materials from the image content through direct and indirect methodologies has enabled the development of several civil engineering related applications that assist in the design, construction and maintenance of construction projects. Examples include surface cracks detection, assessment of fire-damaged mortar, fatigue evaluation of asphalt mixes, aggregate shape measurements, velocimentry, vehicles detection, pore size distribution in geotextiles, damage detection and others. This capability is a product of the technological breakthroughs in the area of Image and Video Processing that has allowed for the development of a large number of digital imaging applications in all industries ranging from the well established medical diagnostic tools (magnetic resonance imaging, spectroscopy and nuclear medical imaging) to image searching mechanisms (image matching, content based image retrieval). Content based image retrieval techniques can also assist in the automated recognition of materials in construction site images and thus enable the development of reliable methods for image classification and retrieval. The amount of original imaging information produced yearly in the construction industry during the last decade has experienced a tremendous growth. Digital cameras and image databases are gradually replacing traditional photography while owners demand complete site photograph logs and engineers store thousands of images for each project to use in a number of construction management tasks. However, construction companies tend to store images without following any standardized indexing protocols, thus making the manual searching and retrieval a tedious and time-consuming effort. Alternatively, material and object identification techniques can be used for the development of automated, content based, construction site image retrieval methodology. These methods can utilize automatic material or object based indexing to remove the user from the time-consuming and tedious manual classification process. In this paper, a novel material identification methodology is presented. This method utilizes content based image retrieval concepts to match known material samples with material clusters within the image content. The results demonstrate the suitability of this methodology for construction site image retrieval purposes and reveal the capability of existing image processing technologies to accurately identify a wealth of materials from construction site images.

Comparison of manual and user guided methodologies for the classification and retrieval of construction site images

The amount of original imaging information produced yearly during the last decade has experienced a tremendous growth in all industries due to the technological breakthroughs in digital imaging and electronic storage capabilities. This trend is affecting the construction industry as well, where digital cameras and image databases are gradually replacing traditional photography. Owners demand complete site photograph logs and engineers store thousands of images for each project to use in a number of construction management tasks like monitoring an activity's progress and keeping evidence of the "as built" in case any disputes arise. So far, retrieval methodologies are done manually with the user being responsible for imaging classification according to specific rules that serve a limited number of construction management tasks. New methods that, with the guidance of the user, can automatically classify and retrieve construction site images are being developed and promise to remove the heavy burden of manually indexing images. In this paper, both the existing methods and a novel image retrieval method developed by the authors for the classification and retrieval of construction site images are described and compared. Specifically a number of examples are deployed in order to present their advantages and limitations. The results from this comparison demonstrates that the content based image retrieval method developed by the authors can reduce the overall time spent for the classification and retrieval of construction images while providing the user with the flexibility to retrieve images according different classification schemes.

Content-Based Search Engines for Construction Image Databases

Images represent a valuable source of information for the construction industry. Due to technological advancements in digital imaging, the increasing use of digital cameras is leading to an ever-increasing volume of images being stored in construction image databases and thus makes it hard for engineers to retrieve useful information from them. Content-Based Search Engines are tools that utilize the rich image content and apply pattern recognition methods in order to retrieve similar images. In this paper, we illustrate several project management tasks and show how Content-Based Search Engines can facilitate automatic retrieval, and indexing of construction images in image databases.

Information programs for technology adoption: The case of energy-efficiency audits

We analyze technology adoption decisions of manufacturing plants in response to government-sponsored energy audits. Overall, plants adopt about half of the recommended energy-efficiency projects. Using fixed effects logit estimation, we find that adoption rates are higher for projects with shorter paybacks, lower costs, greater annual savings, higher energy prices, and greater energy conservation. Plants are 40% more responsive to initial costs than annual savings, suggesting that subsidies may be more effective at promoting energy-efficient technologies than energy price increases. Adoption decisions imply hurdle rates of 50-100%, which is consistent with the investment criteria small and medium-size firms state they use. © 2003 Elsevier B.V. All rights reserved.