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Journal articles on the topic 'Building and infrastructure'

Author: Grafiati

Published: 24 June 2021

Last updated: 15 February 2022

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1

Pangastuti, Dyah Ayu, and Yusuf Latief. "Conceptual Framework for Developing Web-based Maintenance Systems for Government’s Simple-Buildings within the DKI Jakarta Provincial Government." Journal of International Conference Proceedings 4, no. 1 (July 22, 2021): 58–74. http://dx.doi.org/10.32535/jicp.v4i1.1124.

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DKI Jakarta, as the capital of the Republic of Indonesia, has the highest population density in Indonesia, with a population of 16,334 people / km2. Therefore, community facilities and infrastructure within the DKI Jakarta Provincial Government play an important role so that community service can be carried out properly. As one of the main infrastructures, State Buildings must have building reliability as stated in the technical requirements stipulated in Presidential Regulation Number 73 of 2016. Building maintenance is an activity to maintain the building's reliability and infrastructure, and facilities so that the building always functions properly. Based on a survey conducted by the DKI Jakarta Provincial Office for The Creation of Works, Spatial Planning and Land Use in 2019, the number of building assets of Province DKI Jakarta are 9823 buildings. 60% of those buildings were classified as Simple-Building category. Due to the numerous building assets, maintenance activities need to be supported by an adequate maintenance system. This study aims to develop a building maintenance system based on web. The methodology used in this research are expert validation, interviews, field survey and literature studies. The results of the validation process will be developed into a simple-building’s web-based maintenance system framework.

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2

Dangermond, Jack, and Michael F. Goodchild. "Building geospatial infrastructure." Geo-spatial Information Science 23, no. 1 (December 6, 2019): 1–9. http://dx.doi.org/10.1080/10095020.2019.1698274.

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3

Taylor-Alexander, Samuel, and Courtney Addison. "Building for Biology: A Gene Therapy Trial Infrastructure." Engaging Science, Technology, and Society 3 (June 29, 2017): 332. http://dx.doi.org/10.17351/ests2017.104.

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In this article, we examine the construction of the infrastructure for a Phase II gene therapy trial for Cystic Fibrosis (CF). Tracing the development of the material technologies and physical spaces used in the trial, we show how the trial infrastructure took form at the uncertain intersection of scientific norms, built environments, regulatory negotiations, patienthood, and the biologies of both disease and therapy. We define infrastructures as material and immaterial (including symbols and affect) composites that serve a selective distributive purpose and facilitate projects of making and doing. There is a politics to this distributive action, which is itself twofold, because whilst infrastructures enable and delimit the movement of matter, they also mediate the very activity for which they provide the grounds. An infrastructural focus allows us to show how purposeful connections are made in a context of epistemic and regulatory uncertainty. The gene therapy researchers were working in a context of multiple uncertainties, regarding not only how to do gene therapy, but also how to anticipate and enact ambiguous regulatory requirements in a context of limited resources (technical, spatial, and financial). At the same time, the trial infrastructure had to accommodate Cystic Fibrosis biology by bridging the gap between pathology and therapy. The consortium’s approach to treating CF required that they address concerns about contamination and safety while finding a way of getting a modified gene product into the lungs of the trial participants.

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4

Lynch, Michael. "Building a global infrastructure." Studies in History and Philosophy of Science Part A 26, no. 1 (March 1995): 167–72. http://dx.doi.org/10.1016/0039-3681(94)00032-5.

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5

Garrison, Eric, and Joshua New. "Quality Control Methods for Advanced Metering Infrastructure Data." Smart Cities 4, no. 1 (January 28, 2021): 195–203. http://dx.doi.org/10.3390/smartcities4010012.

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While urban-scale building energy modeling is becoming increasingly common, it currently lacks standards, guidelines, or empirical validation against measured data. Empirical validation necessary to enable best practices is becoming increasingly tractable. The growing prevalence of advanced metering infrastructure has led to significant data regarding the energy consumption within individual buildings, but is something utilities and countries are still struggling to analyze and use wisely. In partnership with the Electric Power Board of Chattanooga, Tennessee, a crude OpenStudio/EnergyPlus model of over 178,000 buildings has been created and used to compare simulated energy against actual, 15-min, whole-building electrical consumption of each building. In this study, classifying building type is treated as a use case for quantifying performance associated with smart meter data. This article attempts to provide guidance for working with advanced metering infrastructure for buildings related to: quality control, pathological data classifications, statistical metrics on performance, a methodology for classifying building types, and assess accuracy. Advanced metering infrastructure was used to collect whole-building electricity consumption for 178,333 buildings, define equations for common data issues (missing values, zeros, and spiking), propose a new method for assigning building type, and empirically validate gaps between real buildings and existing prototypes using industry-standard accuracy metrics.

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6

Wethal, Ulrikke. "Building Africa’s Infrastructure: Reinstating History in Infrastructure Debates." Forum for Development Studies 46, no. 3 (May 14, 2019): 473–99. http://dx.doi.org/10.1080/08039410.2019.1616609.

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7

Edwards, J. "Building the optical-networking infrastructure." Computer 33, no. 3 (March 2000): 20–23. http://dx.doi.org/10.1109/mc.2000.825690.

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8

Vourlekis, Betsy S., Joan Levy Zlotnik, Juan Ramos, and Kathleen Ell. "Building the Profession’s Research Infrastructure." Advances in Social Work 15, no. 1 (May 11, 2014): 230–45. http://dx.doi.org/10.18060/16843.

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Beginning in 1988, the social work profession undertook a twenty-five year endeavor to enhance its research capacity and to assure greater representation of social work research needs, priorities and findings at the federal level, where major policy initiatives take place. Described here are some of the key processes, highlighting the efforts to achieve professional solidarity, and the interventions, by social workers, federal "insiders" and outside advocacy agents that carried the work forward. Details and accomplishments of this long-term, carefully sustained, and still incomplete professional self-strengthening change strategy provide insights for future collective professional endeavors. Twenty-five years ago the social work profession began a sustained effort to strengthen its research infrastructure in support of demonstrating practice effectiveness, advancing knowledge for critical social problems, and informing national policy. The steps and processes undertaken and the outcomes achieved by this effort have been described elsewhere (Austin, 1998; Corvo, Zlotnik, & Chen, 2008; TFSWR, 1991; Zlotnik, Biegel, & Solt, 2002; Zlotnik & Solt, 2006, 2008). What we want to capture through this, our eye-witness account, are some of the nuanced and specific actions, obstacles, and decisions involved in this effort. Recreating this case study of a profession's self-strengthening change strategy – targeted both to the external environment and its own internal one – can provide insights for future profession-wide, collective efforts.

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9

Alimchandani, C. R., and N. Bandyopadhyay. "Building Infrastructure with Appropriate Technology." IABSE Symposium Report 96, no. 3 (January 1, 2009): 50–59. http://dx.doi.org/10.2749/222137809796088891.

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10

Kreager, P. S. "The intelligent building telecommunications infrastructure." IEEE Communications Magazine 29, no. 4 (April 1991): 42–48. http://dx.doi.org/10.1109/35.76557.

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11

Bargwanna, Stephen. "Building a Sustainable Infrastructure Project." Proceedings of the Water Environment Federation 2009, no. 15 (January 1, 2009): 2087–104. http://dx.doi.org/10.2175/193864709793954187.

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12

SHNEIDERMAN, BEN, and CLAYTON LEWIS. "Building HCI partnerships and infrastructure." Behaviour & Information Technology 12, no. 2 (March 1993): 130–35. http://dx.doi.org/10.1080/01449299308924373.

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13

Tebbells, Diane R. "Building the Digital Library Infrastructure." Journal of Library Administration 26, no. 3-4 (January 25, 1999): 5–23. http://dx.doi.org/10.1300/j111v26n03_02.

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14

Goldstein, Melissa M., and David Blumenthal. "Building an Information Technology Infrastructure." Journal of Law, Medicine & Ethics 36, no. 4 (2008): 709–15. http://dx.doi.org/10.1111/j.1748-720x.2008.00326.x.

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Information technology is considered a potentially transformative element in the field of health care by payers, providers, vendors, and consumers alike. Because of this transformative potential, health information technology (HIT) adoption is viewed by many as a key component of health system reform. HIT is in its earliest stages, with diffusion of the technology still relatively limited; at the same time, there is growing awareness of its potential to affect the operation of the entire health care system as a result of the vast amount of information that will become available to both health professionals and patients.

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15

Numerof, Rita E., Michael Abrams, and Bill Ott. "Building a nursing leadership infrastructure." Nurse Leader 2, no. 1 (February 2004): 33–37. http://dx.doi.org/10.1016/j.mnl.2003.11.010.

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16

Russell, Rosemary, and Greg Newton‐Ingham. "Agora: Building the technological infrastructure." New Review of Academic Librarianship 4, no. 1 (January 1998): 25–29. http://dx.doi.org/10.1080/13614539809516766.

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17

Liu, Xiang, Gairong Huang, Baiyu Zhou, and Pulin Yu. "Geroscience infrastructure building in China." AGING MEDICINE 2, no. 3 (September 2019): 135–38. http://dx.doi.org/10.1002/agm2.12085.

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18

Wong, Terry T. "Building a Materials Data Infrastructure." JOM 68, no. 8 (June 21, 2016): 2029–30. http://dx.doi.org/10.1007/s11837-016-1995-x.

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19

Jagim, Mary. "Emergency Preparedness Response: Building Infrastructure." Journal of Emergency Nursing 33, no. 6 (December 2007): 567–70. http://dx.doi.org/10.1016/j.jen.2007.08.013.

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20

Brand, Nikki, and Marcel Hertogh. "Building with Nature as integrated design of infrastructures." Research in Urbanism Series 7 (February 18, 2021): 15–28. http://dx.doi.org/10.47982/rius.7.123.

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Many people associate Building with Nature with its flagship project, the Sand Motor. This mega-nourishment redefined the role of natural processes in civil engineering projects, demonstrating that instead of ‘do no harm’ as the highest possible supporting goal of coastal infrastructure, the design could incorporate natural processes to attain societal and ecological goals. As such, the Sand Motor represents a key example of the integrated design of civil infrastructures. In this contribution, we pursue an improved understanding of the integrated design of civil infrastructures, by comparing the illustrative example of the Sand Motor against a framework based on transport infrastructures and the occasional flood defence. It turns out that application of a framework from one domain to another - a conscious act of interdisciplinary learning - results in a modification of that framework. Although the domain of Building with Nature fits well with many existing attributes of integrated design for civil infrastructures (the life cycle approach, adaptive design and adding functionalities), its key attribute (dynamics) adds a unique box to the integrality index. This intellectual effort raises two issues. It demonstrates that our understanding of integrated design is rather specific for different infrastructure-domains. Second, it is likely that the bandwidth of uncertainty that is key to the incorporation of natural processes in infrastructure design, and the changing behaviour of the structure itself in the maintenance phase, has implications for the governance regime of such infrastructures.

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21

Rahman, Md Samin, and Md Humayun Kabir. "Social Internet of Things (SIoT) Enabled System Model for Smart Integration of Building‟s Energy, Water and Safety Management: Dhaka City, Bangladesh Perspective." AIUB Journal of Science and Engineering (AJSE) 18, no. 1 (May 31, 2019): 19–26. http://dx.doi.org/10.53799/ajse.v18i1.18.

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Dhaka, being the largest township of Bangladesh City Buildings is excreted by in-migration, a rapid growth of population, withering of living and infrastructure standard, which eventually is threatening overall sustainability and well beings. Modernization and digitalization of building infrastructure is not only an important step towards resolving the problems but also it will be a facilitator for smart, efficient and optimized urbanization. On May 2018, the authors conducted a survey among 51 Residential Building’s owner/building managers, 25 Non-residential Building’s owner/building managers and 25 corporate building’s owner/building managers to find market adoptable IoT solutions for building’s smart efficient energy, water and safety managements. The features requested in this survey are optimized and implemented by the authors and finally, here the system model with simulation results is presented. This system shows promising energy, water resource management optimization and some intriguing factors that validate its objectives, social characteristics, market usability.

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22

Krakowiak-Bal, Anna, Urszula Ziemianczyk, and Andrzej Wozniak. "Building entrepreneurial capacity in rural areas." International Journal of Entrepreneurial Behavior & Research 23, no. 6 (October 2, 2017): 903–18. http://dx.doi.org/10.1108/ijebr-07-2017-0223.

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Purpose The purpose of this paper is to verify the development of economic activities in rural areas in terms of their public infrastructural equipment. Design/methodology/approach As a case study, the Polish rural areas were selected. A two-stage survey was conducted in 2015. The first stage involved entrepreneurs from rural areas. The second stage of survey was data collection for rural areas regarding economic activity and infrastructural equipment. In total, 121 objects (communes) were selected. The multicriteria analytic hierarchy process (AHP) method was used for the analysis. Findings The results demonstrate that for each kind of business, communication accessibility is the most important criterion. By contrast, environmental awareness and concern for the environment is the least important element for pursuit of the economic activity in rural areas. Research limitations/implications Limitations are connected mainly with the applied AHP method. The number of the comparable elements at the same hierarchy level is limited due to practical purposes. In addition, an assumption of full comparability of elements (criteria and alternatives) in the hierarchy model can be discussed. Furthermore, data quality and availability limit the scope of the empirical work. This study is a major simplification of reality modeling, but it gives practical benefits by simplifying the decision support procedure. Practical implications The findings of this paper contribute to the advancing theory of local development, with public infrastructure being one of its basic elements (factor of production). This paper explores the importance of physical infrastructure for different economic activities, and thus offers theoretical insights in two areas. First, this paper indicates the uneven weight of each infrastructure element for the various business sectors. Second, based on the collected data, this study also contributes to the literature, by using the AHP method to explore the relationships between infrastructural equipment and economic activity in rural areas. As the practical implication for local and regional development policies, this study indicates, that the most important criterion for each kind of economic activity is communication accessibility. This kind of public investment should be undertaken primarily to support entrepreneurship, especially in rural areas. Originality/value The uniqueness of the method lies in assumption about the uneven weights of infrastructure elements and therefore their impact on the process of ranking the objects (rural areas). The weight of individual infrastructure elements will vary depending on the kind of economic activity; therefore, the way of ordering will also be different for each economic activity.

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23

Mujalde, Dr Sakharam, and Ms Shivani Bairagi. "Analysis of Infrastructure Building Policies in India: Meeting SDG 9." International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (June 30, 2019): 12–15. http://dx.doi.org/10.31142/ijtsrd20327.

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24

Edmond, Jennifer. "CENDARI's Grand Challenges: Building, Contextualising and Sustaining a New Knowledge Infrastructure." International Journal of Humanities and Arts Computing 7, no. 1-2 (October 2013): 58–69. http://dx.doi.org/10.3366/ijhac.2013.0081.

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In its widest sense, infrastructure allows us as finite individuals to achieve beyond our individual capacity to know, to do, to see. But even within the narrower context of research infrastructures, broad and diverse definitions exist of how such an infrastructure should deliver these enhancements in knowledge and perspective. The Collaborative EuropeaN Digital Archival Research Infrastructure (CENDARI) project was launched in 2012 to address some of the gaps in provision for digital historical research, building on a long tradition of work in libraries, archives, digital humanities research centres and other research infrastructures. What distinguishes CENDARI, however, is its focus on what the project team has identified as the ‘grand challenges’ for each of its contributing stakeholder groups: collections experts based in libraries and archives, historians of the medieval and modern periods, and e-Scientists. This ethos, combined with its close relationship at European level to DARIAH, the Digital Research Infrastructure for the Arts and Humanities, has instigated a unique and fruitful approach to supporting historical research with digital resources, tools and spaces.

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25

Beach, James. "Specify Collections Consortium–Building Durable Infrastructure." Biodiversity Information Science and Standards 2 (May 23, 2018): e26860. http://dx.doi.org/10.3897/biss.2.26860.

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The Specify Software Project (www.specifysoftware.org) has been funded by the University of Kansas and with grants from the U.S. National Science Foundation for 20 years. In 2018, the effort is pivoting from a grant-funded project to a community-supported effort through the establishment of a consortium of biological collection institutions. Specify Collection Consortium software products will remain open source and free to download and use. Consortium membership benefits will include access to technical support services and seats on the Board of Directors and advisory committees, groups that will determine priorities for future products, platform capabilities, and technical support services. In 2017 and 2018, we have been engaged in organizational planning and development–modeling the Specify Collections Consortium on examples of viable open source and open access consortia in other research communities. Founding members of the Consortium in the U.S. include the University of Michigan, University of Florida, and University of Kansas. The Consortium's mission will be to support collections institutions in mobilizing data from their holdings to broader biological and computational initiatives to advance collections-based research, while facilitating efficient data curation and collection management. We will provide an update on our progress with the Consortium's development and highlight new capabilities and integration features of the Specify 6 & 7 software platforms.

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26

Clerico, Edward A. "Green Building Drives Distributed Infrastructure Alternatives." Proceedings of the Water Environment Federation 2009, no. 7 (January 1, 2009): 8064–71. http://dx.doi.org/10.2175/193864709793900113.

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27

Gilliland, Anne, and Sue Mckemmish. "Building an Infrastructure for Archival Research." Archival Science 4, no. 3-4 (December 2004): 149–97. http://dx.doi.org/10.1007/s10502-006-6742-6.

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28

Latham, Danny. "Building the case for direct infrastructure." Pensions: An International Journal 13, no. 1-2 (May 19, 2008): 83–87. http://dx.doi.org/10.1057/pm.2008.8.

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29

Takiguchi, Y., E. Sakaida, and I. Sekine. "Building Infrastructure to Train Medical Oncologists." Annals of Oncology 23 (October 2012): xi69—xi70. http://dx.doi.org/10.1016/s0923-7534(20)32128-1.

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30

Macpherson, Alexander S., and Phyllis Blumberg. "BUILDING THE INFRASTRUCTURE FOR EDUCATIONAL CHANGE." Educational Gerontology 18, no. 5 (January 1992): 529–40. http://dx.doi.org/10.1080/0360127920180509.

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31

Morey, Sue, and Lynne Madden. "Building the infrastructure for public health." New South Wales Public Health Bulletin 14, no. 3 (2003): 50. http://dx.doi.org/10.1071/nb03015.

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32

Tan, Qingshan. "Building Democratic Infrastructure: village electoral institutions." Journal of Contemporary China 18, no. 60 (June 2009): 411–20. http://dx.doi.org/10.1080/10670560902770560.

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33

Ball, Cheryl E. "Building a Scholarly Multimedia Publishing Infrastructure." Journal of Scholarly Publishing 48, no. 2 (January 2017): 99–115. http://dx.doi.org/10.3138/jsp.48.2.99.

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34

Dauncey, Hugh. "Building the finals: Facilities and infrastructure." Culture, Sport, Society 1, no. 2 (December 1998): 98–120. http://dx.doi.org/10.1080/14610989808721818.

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35

Potapchuk, William R. "Building an Infrastructure of Community Collaboration." National Civic Review 88, no. 3 (1999): 165–70. http://dx.doi.org/10.1002/ncr.88301.

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36

Grussing, Michael N., Donald R. Uzarski, and Lance R. Marrano. "Building Infrastructure Functional Capacity Measurement Framework." Journal of Infrastructure Systems 15, no. 4 (December 2009): 371–77. http://dx.doi.org/10.1061/(asce)1076-0342(2009)15:4(371).

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37

Gilroy, Rose, and Chris Booth. "Building an infrastructure for everyday lives." European Planning Studies 7, no. 3 (June 1999): 307–24. http://dx.doi.org/10.1080/09654319908720520.

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38

Scrimshaw, Nevin S. "Infrastructure and Institution Building for Nutrition." Food and Nutrition Bulletin 12, no. 2 (June 1990): 1–9. http://dx.doi.org/10.1177/156482659001200213.

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39

Stiller, Christoph, Ann Svensson, Eva Rosenberg, Steffen Møller-Holst, and Ulrich Bünger. "Building a hydrogen infrastructure in Norway." World Electric Vehicle Journal 3, no. 1 (March 27, 2009): 104–13. http://dx.doi.org/10.3390/wevj3010104.

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40

Choguill, Charles L., Richard Franceys, and Andrew Cotton. "Building Community Infrastructure in the 1990s." Habitat International 17, no. 4 (January 1993): 1–12. http://dx.doi.org/10.1016/0197-3975(93)90025-8.

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41

Choguill, Charles L., Richard Franceys, and Andrew Cotton. "Building community infrastructure in the 1990s." Habitat International 18, no. 1 (January 1994): 3–11. http://dx.doi.org/10.1016/0197-3975(94)90035-3.

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42

Gilliland, Anne, and Sue Mckemmish. "Building an infrastructure for archival research." Archival Science 4, no. 3-4 (September 2004): 149–97. http://dx.doi.org/10.1007/bf02513399.

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43

Ait-Lamallam, Sara, Imane Sebari, Reda Yaagoubi, and Omar Doukari. "IFCInfra4OM: An Ontology to Integrate Operation and Maintenance Information in Highway Information Modelling." ISPRS International Journal of Geo-Information 10, no. 5 (May 6, 2021): 305. http://dx.doi.org/10.3390/ijgi10050305.

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Building information modelling (BIM) is increasingly appropriate for infrastructure projects, and in particular for transport infrastructure. It is a digital solution that integrates the practices of the construction industry in facility management during the whole life cycle. This integration is possible through a single tool, which is the 3D digital model. Nevertheless, BIM standards, such as industry foundation classes, are still in the pipeline for infrastructure management. These standards do not fully meet the requirements of operation and maintenance of transport infrastructure. This paper shows how BIM could be implemented to address issues related to the operation and maintenance phase for transport infrastructure management. For this purpose, a new ontological approach, called Industry Foundation Classes for Operation and Maintenance of Infrastructures (IFCInfra4OM), is detailed. This ontology aims to standardise the use of building information modelling for operation and maintenance in road infrastructures. To highlight the interest of the proposed ontological approach, a building information model of a section on the A7 Agadir–Marrakech Highway in Morocco is produced according to IFCInfra4OM. The methodology is presented. The results obtained, including the IFCInfra4OM data model, are submitted. In the last section, an overview of the IFC extension approach is submitted.

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KUMARESAN, NAGESWARAN, and KUMIKO MIYAZAKI. ""INTEGRATED TECHNOLOGIES AS SPILLOVER INFRASTRUCTURES" — UNDERSTANDING THE HIDDEN DYNAMICS OF KNOWLEDGE DISTRIBUTION IN AN INNOVATION SYSTEM." International Journal of Innovation Management 06, no. 01 (March 2002): 25–51. http://dx.doi.org/10.1142/s1363919602000513.

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Although knowledge spillover is considered as an important characteristic in a nations' technology infrastructure building process, studies on the necessary mechanisms to incorporate and induce them into the advanced technology infrastructure building process is still in its early stage. This paper discusses the role of integrated technologies and their knowledge carrying capacity to function as a spillover infrastructure. Knowledge carrying capacity of technologies identifies the ability of those technologies to function as a spillover infrastructure. Taking the case of robotics in Japan, this paper argues the important role of integrated technologies in creating a medium for knowledge distribution in an innovation system by providing comprehensive empirical evidences. We conclude that as intangible factors become important for building technological infrastructures, identifying the characteristics of integrated technologies in national systems will become an important strategic and policy issue.

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45

Irene, Oseremen Felix. "Building Infrastructure for Peace in Nigerian Schools." African Research Review 10, no. 2 (May 10, 2016): 178. http://dx.doi.org/10.4314/afrrev.v10i2.11.

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46

Kollenscher, Eldad, Boaz Ronen, and Moshe Farjoun. "Architectural Leadership: Building a value enhancing infrastructure." Human Systems Management 28, no. 1-2 (2009): 35–45. http://dx.doi.org/10.3233/hsm-2009-0693.

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47

Kang, Shih-Chung, Lieyun Ding, and Xiangyu Wang. "Editorial on Robotics in Building and Infrastructure." International Journal of Advanced Robotic Systems 11, no. 8 (January 2014): 134. http://dx.doi.org/10.5772/58747.

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48

Coleman, David J., and Douglas D. Nebert. "Building a North American Spatial Data Infrastructure." Cartography and Geographic Information Systems 25, no. 3 (January 1998): 151–60. http://dx.doi.org/10.1559/152304098782383098.

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49

Kateja, Alpana. "Building Infrastructure: Private Participation in Emerging Economies." Procedia - Social and Behavioral Sciences 37 (2012): 368–78. http://dx.doi.org/10.1016/j.sbspro.2012.03.302.

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50

McLaughlin, John, and John McKenna. "Property and development: Building the essential infrastructure." Land Use Policy 15, no. 1 (January 1998): 1–2. http://dx.doi.org/10.1016/s0264-8377(97)00041-0.

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