Relevant bibliographies by topics / 280110 Expanding knowledge in engineering

Academic literature on the topic '280110 Expanding knowledge in engineering'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "280110 Expanding knowledge in engineering"

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Brenner, Brian. "Learning the Expanding Body of Knowledge." Leadership and Management in Engineering 6, no. 3 (July 2006): 135–36. http://dx.doi.org/10.1061/(asce)1532-6748(2006)6:3(135).

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de la Garza, Jesus M. "Expanding the Body of Knowledge: A World View." Journal of Construction Engineering and Management 138, no. 2 (February 2012): 177. http://dx.doi.org/10.1061/(asce)co.1943-7862.0000506.

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Ye, Yunwen, Yasuhiro Yamamoto, and Kumiyo Nakakoji. "Expanding the knowing capability of software developers through knowledge collaboration." International Journal of Technology, Policy and Management 8, no. 1 (2008): 41. http://dx.doi.org/10.1504/ijtpm.2008.016180.

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de la Garza, Jesús M. "Adapting Our Journal to a Rapidly Expanding Body of Knowledge." Journal of Construction Engineering and Management 138, no. 3 (March 2012): 309–10. http://dx.doi.org/10.1061/(asce)co.1943-7862.0000514.

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Shan, Hongxia. "Knowledge ‘transfer’ as sociocultural and sociomaterial practice: Immigrants expanding engineering practices in Canada." European Journal for Research on the Education and Learning of Adults 11, no. 3 (August 20, 2020): 1–15. http://dx.doi.org/10.3384/rela.2000-7426.ojs1476.

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Carayol, Nicolas. "Modeling creation vs. diffusion of structured knowledge." Advances in Complex Systems 03, no. 01n04 (January 2000): 353–68. http://dx.doi.org/10.1142/s021952590000025x.

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The paper is mainly dealing with the dilemma between knowledge creation incentives and knowledge diffusion. Knowledge is modeled as a structure, which is expanding through agents' creation behaviors, and becomes "locally" available to other agents once it is disclosed. An agent taken randomly at each period of the discrete time is choosing between the acquisition of an accessible piece of knowledge and the creation of one. Knowledge value being a decreasing function of the number of agents sharing it, a higher (exogenous and tunable) rate of disclosure decreases the incentives to create (in increasing the diffusion speed). Using simulations, we show that there is, for each set of values of the different parameters, a non null optimal rate of disclosure (maximizing the collective performances of the set of agents) and discuss the effect of some of the structural parameters on it.
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Choriyevich, Yarmatov Sharofiddin. "Human Capital as an Important Factor in Shaping an Innovative Economy." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (November 30, 2021): 12–13. http://dx.doi.org/10.22214/ijraset.2021.38746.

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Annotation: There is a strong correlation between human capital and economic growth. Human capital influences economic growth and helps people develop the economy by expanding their knowledge and skills. This article discusses the role of human capital in shaping the economy. Keywords: innovative economy, human capital, developing process
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Xu, Na, Bo Zhang, Tiantian Gu, Jie Li, and Li Wang. "Expanding Domain Knowledge Elements for Metro Construction Safety Risk Management Using a Co-Occurrence-Based Pathfinding Approach." Buildings 12, no. 10 (September 22, 2022): 1510. http://dx.doi.org/10.3390/buildings12101510.

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Knowledge is a contribution factor leading to more effective and efficient construction safety management. Metro construction practitioners always find it difficult to determine what specialized knowledge is needed in order to lead to better safety risk management. Currently, domain knowledge elements are generally determined by experts, which is coarse-grained and uncomprehensive. Therefore, this paper aims to provide a structure of domain knowledge elements, using an automatic approach to expand domain knowledge elements (DKEs) from a big dataset of unstructured text documents. First, the co-word co-occurrence network (CCN) was used to find the connected knowledge elements, and then the association rule mining (ARM) was compiled to prune the weakly related subnetworks, leaving the strong associated elements. Finally, a list of DKEs in the metro construction safety risk management was obtained. The result shows that the obtained DKEs are more comprehensive and valuable compared to previous studies. The proposed approach provides an automatic way to expand DKEs from a small amount of known knowledge, minimizing the expert bias. This study also contributes to building a fine-grained knowledge structure for metro construction safety risk management. The structure can be used to guide safety training and help knowledge-based safety risk management.
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MAZUREK-ŁOPACIŃSKA, Krystyna, and Magdalena SOBOCIŃSKA. "CREATING MARKETING KNOWLEDGE ABOUT THE CONSUMER IN THE CONTEXT OF THE DEVELOPMENT OF INTERNET TOOLS." Applied Computer Science 13, no. 3 (September 30, 2017): 90–101. http://dx.doi.org/10.35784/acs-2017-24.

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The aim of the article is to present marketing knowledge about the consumer as an enterprise resource and the role of marketing research in expanding it in the context of progressive virtualization of social life and the development of Internet tools. The current article was written on the basis of an in-depth literature study and an analysis of the selected results of quantitative research conducted in 2013 on a sample of 152 enterprises.
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Kai, Chieko, and Misako Yoneda. "Henipavirus Infections - An Expanding Zoonosis from Fruit Bats." Journal of Disaster Research 6, no. 4 (August 1, 2011): 390–97. http://dx.doi.org/10.20965/jdr.2011.p0390.

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The henipavirus genus has two members – the Hendra virus (HeV) and the Nipah virus (NiV). HeV and NiV, identified in the 1990s as a paramyxovirus, cause fatalities in humans and animals. They are now classified as biosafety level 4 pathogens. HeV caused fatal respiratory infection in horses and humans in Australia in 1994, in which 2 persons died. The first-known, largest NiV outbreak occurred on theMalay Peninsula in 1998, in pigs and humans. The human fatality rate was 40%, killing 105. To cope, the Malaysian government culled over 1 million pigs at huge economic loss. The natural virus reservoir, the fruit bat (Pteropus), inhabits areas from Australia, through South Asia to Africa. InMalaysia, NiV to humans was through pigs, and the reemergence has never observed after that. However, sporadic outbreaks of NiV are continuously occurring in Bangladesh and India, in some of which epidemics human mortality exceeds 75%. The transmission is directly from fruit bats to humans, and even human-to-human transmissions are found. To prevent the outbreaks, it is important to have an intense monitoring for these diseases, to accumulate basic knowledge about the viruses and the diseases, and to develop effective vaccines.
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Dissertations / Theses on the topic "280110 Expanding knowledge in engineering"

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Lundkvist, Robert. "Expanding the use of contract inspections in construction : An approach to inter-project knowledge diffusion?" Licentiate thesis, Luleå tekniska universitet, Byggkonstruktion och -produktion, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-26285.

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This licentiate thesis presents a taxonomic approach to classification of defect information in construction projects. A conceptual model, based in a frame of reference consisting of the concepts of Continuous Improvement, Performance Measurement, Knowledge Management, as well as the current Quality Management regime of the industry helps to understand how the use of Contract Inspections can be developed towards facilitating inter-project knowledge diffusion and continuous improvement in construction.Three research questions were formulated:RQ I:How is information from inspection reports currently used?RQ II:How could information from inspection reports be utilised further?RQ III:How should information from inspection reports be structured and codified, to enable storage and future data analysis to facilitate continuous improvement?Qualitative as well as quantitative data has been collected in three different studies. In the first contractors were surveyed through a questionnaire about their use of different suggested experience feedback concepts, such as contract inspections. In the second other project participants than contractors was an interviewed, asking them how they use inspections and how the current usage could be extended. In the third study, a single case study about the inspection activities in one construction project, the purpose was to analyse the method and results of Pre- and Final Inspections. These results were interpreted through classification theory. It is further suggested how inspection data could be enhanced for the purpose of database storing, transforming, and easy access.The thesis concludes that both contractors and the other project roles currently use and view inspections as they are prompted in the General Conditions (AB 04), i.e. as an activity that document what defects there are for the contractor to rectify. Several companies have started to store inspection reports on project-dedicated servers, a routine that is thought to enhance the access to information to some extent. Several respondents have also introduced the compilation of defect statistics.Except automating the compiling of descriptive defect statistics, a system for managing inspection information, giving the widest access to the information about previously experienced defects, is expected to serve a Continuous Improvement process with input for identifying reoccurring problems in the production process. This system could as well be utilised for giving performance feedback to contractors and suppliers. Through continual surveying of the performance of current projects, the performance of the production process can be monitored. Based on the analysed reports, and the literature on taxonomy, the conclusions for RQ III identifies 15 different types of data tags, or types of information, that should be used as structure for the defects’ information: Unique Project Identifier, Unique Defect Identifier, Inspection Identifier, Responsibility, Defect Serial Number, Floor level, BSAB 96 Space Code, BSAB Object code, Defect type, Defect description, Rectification measure, Flag for Safety Issue, Cause, Date logging, and Photos.Future research should focus on the validation of the proposed model and system, suggested through case studies.
Den här licentiatavhandlingen presenterar ett taxonomiskt upplägg för att klassificera informationen om de fel som uppkommer i byggprojekt. Tre forskningsfrågor formulerades:FF I: Hur används informationen i besiktningsutlåtandena i nuläget?FF II: Hur kan användningen av informationen i besiktningsutlåtandenavidareutvecklas?FF III: Hur bör informationen från utlåtandena struktureras och kodifieras, för att tillåta lagring samt framtida dataanalys, till hjälp för Ständiga förbättringar?Kvalitativ, såväl som kvantitativ, data har samlats in över tre olika studier. I den första tillfrågades Sveriges byggentreprenörer genom en enkät hur de använder olika typer av föreslagna erfarenhetsåterföringsaktiviteter, t.ex. entreprenadbesiktningar. I den andra studien intervjuades övriga projektroller om hur de använder besiktningsinformationen, samt hur det nuvarande användandet kan utökas till andra områden. I den tredje studien, en singel-fallstudie över besiktningsaktiviteterna i ett större byggprojekt, analyserades och klassificerades informationen om felen från projektets besiktningsutlåtanden utifrån det svenska klassificeringssystemet för byggbranschen, BSAB 96.Resultaten visar att alla tillfrågade projektroller idag har den syn på besiktningar som de är tänkta från början, som de presenteras i AB 04, d.v.s. som en aktivitet som dokumenterar de fel som finns i ett projekt och som entreprenören måste åtgärda innan besiktningen blir godkänd. Ett flertal företag har dock börjat spara de färdiga besiktningsutlåtandena på projektportaler, en rutin som torde öka möjligheten till spridning av besiktningsinformationen något. Några respondenter har även börjat med att sammanställa enklare statistik över fel inom produktionen i företaget. Baserat på de analyserade besiktningsutlåtandena och litteraturen om taxonomier så föreslås även 15 olika klassificeringsbegrepp, med syftet att förädla informationen om felen i utlåtandena: Unikt Projekt-ID, Unikt Fel-ID, Besiktnings-ID, Ansvar, Löpnummer fel, Våning, BSAB 96 Utrymme-kod, BSAB element/objekt-kod, Feltyp, Felbeskrivning, Åtgärd, Flagga för säkerhetsproblem, Orsak (förslagsvis grundorsaksanalys), datumloggning och foton.Förutom att kunna automatisera statistikframställning, så ger en systemlösning för att hantera besiktningsinformation möjligheter till att kunna sprida informationen om tidigare producerade fel. Systemet antas kunna förse en process för Ständiga förbättringar med input för att kunna identifiera systematiskt återkommande fel och därav problemområden för förbättringsorganisation att arbeta med.Baserat på idéerna om Ständiga förbättringar, prestationsmätningar och Knowledge Management utvecklades en modell för hur arbetet med entreprenad-besiktningar kan utvecklas till att kunna hjälpa vid med kunskapsspridning mellan projekt samt Ständiga förbättringar. Framtida forskning bör framförallt fokusera på att validera den föreslagna modellen och systemet, förslagsvis genom fallstudier.
Godkänd; 2011; 20111115 (roblun); LICENTIATSEMINARIUM Ämnesområde: Byggproduktion/Construction Engineering Examinator: Professor Thomas Olofsson, Institutionen för samhällsbyggnad och naturresurser, Luleå tekniska universitet Diskutant: Filosofie doktor Kajsa Simu, NCC Construction, Luleå Tid: Fredag den 16 december 2011 kl 10.00 Plats: E246, Luleå tekniska universitet
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Rouillard, Vincent. "On the synthesis of non-Gaussian road vehicle vibrations." Thesis, 2007. https://vuir.vu.edu.au/24217/.

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Books on the topic "280110 Expanding knowledge in engineering"

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Teitelbaum, Michael S. High-Skilled Migration Policy Challenges from a US Perspective. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198815273.003.0007.

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This chapter addresses the arguments and available evidence about the complex intersections among basic research, claimed STEM (Science, Technology, Engineering, Mathematics) talent shortages, migration policy, and US economic growth. ‘Technical progress’ is a critical factor in economic growth, especially in the modern world of the ‘knowledge economy’. On the basis of this, should the US and other governments seek to increase their nations’ economic growth by expanding investments in basic research, or does basic research produce ‘global public goods’ that can readily be exploited economically by other countries? Should governments expand the number of domestic students pursuing higher education in science and engineering while also facilitating global recruitment by expanding temporary visas in these fields, or do these two approaches involve mutual contradictions? To what extent does the US government make available the migration data needed to assess such questions or support objective research and analysis on these issues?
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Verschure, Paul F. M. J., and Tony J. Prescott. A Living Machines approach to the sciences of mind and brain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0002.

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How do the sciences of mind and brain—neuroscience, psychology, cognitive science, and artificial intelligence (AI)—stand in relation to each other in the 21st century? This chapter proposes that despite our knowledge expanding at ever-accelerating rates, our understanding of the relationship between mind and brain is, in some important sense, becoming less and less. An increasing explanatory gap can only be bridged by a multi-tiered and integrated theoretical framework that recognizes the value of developing explanations at different levels, combining these into cross-level integrated theories, and directly contributing to new technologies that improve the human condition. Development of technologies that instantiate principles gleaned from the study of the mind and brain, or biomimetic technologies, is a key part of the validation process for scientific theories of mind and brain. We call this strategy for the integration of science and engineering a Living Machines approach. Following this path can lead not only to better science, and useful engineering, but also a richer view of human experience and of relationships between science, engineering, and art.
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Book chapters on the topic "280110 Expanding knowledge in engineering"

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Prinz, F. B. "Expanding the design space through innovative design and manufacturing processes." In Cooperative Knowledge Processing for Engineering Design, 373–406. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-0-387-35357-9_21.

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Hermano, V., and N. Martín-Cruz. "Expanding the Knowledge on Project Management Standards: A Look into the PMBOK® with Dynamic Lenses." In Lecture Notes in Management and Industrial Engineering, 19–34. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92273-7_2.

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Courtenage, Simon, and Steven Williams. "The Forward Web: A New Web Architecture for Organizing Expanding Knowledge." In International Conference of Computational Methods in Sciences and Engineering 2004 (ICCMSE 2004), 1153–55. CRC Press, 2019. http://dx.doi.org/10.1201/9780429081385-293.

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Zhou, Zude, Huaiqing Wang, and Ping Lou. "Data Mining and Knowledge Discovery." In Manufacturing Intelligence for Industrial Engineering, 84–110. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-864-2.ch004.

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In Chapters 2 and 3, the knowledge-based system and Multi-Agent system were illustrated. These are significant methods and theories of Manufacturing Intelligence (MI). Data Mining (DM) and Knowledge Discovery (KD) are at the foundation of MI. Humans are immersed in data, but are thirsty for knowledge. With the wider application of database technology, a dilemma has arisen whereby people are ‘rich in data, poor in knowledge’. The explosion of knowledge and information has brought great benefit to mankind, but has also carried with it certain drawbacks, since it has resulted in knowledge and information ‘pollution. Facing a vast but polluted ocean of data, a technical means to discard the bad and retain the good was sought. Data Mining and Knowledge Discovery (DMKD) was therefore proposed against the background of rapidly expanding data and databases. It is also the result of the development and fusion of database technology, Artificial Intelligence (AI), statistical techniques and visualization technology (Fayyad U., 1998). DMKD has become a research focus and cutting-edge technology in the field of computer information processing (Jef Woksem, 2001). The development background, conception, working process, classification and general application of DM and KD are firstly introduced in this chapter. Secondly, basic functions and assignment such as prediction, description, data clustering, data classification, conception description and visualization processing are discussed. Then the methods and tools for DM are presented, such as the association rule, decision tree, genetic algorithm, rough set and support vector machine. Finally, the application of DMKD in intelligent manufacturing is summarized.
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Brown, Gwen Cohen, and Laina Karthikeyan. "Integration of Civic Engagement Pedagogies in the STEM Disciplines." In Cases on Interdisciplinary Research Trends in Science, Technology, Engineering, and Mathematics, 295–319. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2214-2.ch012.

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This chapter discusses the development and implementation of an interdisciplinary learning community between the departments of Dental Hygiene and Biological Sciences, correlating nutrition with oral health and oral cancer and its prevention by early screening. The goal of the project was to engage underrepresented, urban undergraduate students in civic learning, with an eye toward expanding learning capacities and civic responsibilities beyond the classroom. The project followed participation in the 2010 Summer Institute offered by the National Science Foundation’s Science Education for New Civic Engagements and Responsibilities (SENCER). Oral and Maxillofacial Pathology integrates basic science curriculum and applies this unified foundation knowledge to the clinical evaluation of disease, thereby closing the gap between didactic and applied material. Dental Hygiene students enrolled in Nutrition and Anatomy and Physiology will learn to connect this knowledge gained with practical application outside the natural sciences, which in turn will make these courses more interesting and relevant.
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Thajudeen, Shamnath, Martin Lennartsson, Fredrik Elgh, and Per Johan Persson. "Parametric Modelling of Steel Connectors in a Glulam Based Post and Beam Building System – Towards a Flexible Product Platform Approach." In Advances in Transdisciplinary Engineering. IOS Press, 2020. http://dx.doi.org/10.3233/atde200117.

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House building projects are distinctive, and the degree of customisation creates bottlenecks in the design process and challenges for production, which results in longer lead time and higher costs. Aligned with a product platform approach, previous studies have introduced cost-effective approaches such as standardisation, modularization, configurators, etc. Still, components that cannot be completely modularized and configured due to high complexity level, may require a lot of engineering efforts during development. A platform approach that can be used to support engineer-to-order products that change over time still needs to be explored. The application of parametric modelling to automate the design process in the construction industry has the potential to further increase both the design and production efficiency. Thus, the objective of this research is to apply parametric modelling in the design of steel connectors used in a glulam based post and beam building system as part of a flexible product platform for increased design and production efficiency. A single case study has been carried out with a Swedish multi-storey house building company. Empirical data were gathered from a workshop with the design team followed by interviews, and document analysis. A computer-supported method for the steel bracket connectors has been developed, that connects post and beam components with pre-defined rules and constraints as part of the platform development. The result contributes to expanding knowledge about the development of a flexible product platform for improved design process and downstream production of customised components with parametric modelling support in the industrial post and beam buildng system.
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Zhou, Zude, Huaiqing Wang, and Ping Lou. "Intelligent Management Information System." In Manufacturing Intelligence for Industrial Engineering, 329–56. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-864-2.ch013.

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The Intelligent Management Information System (IMIS) has the potential to transform human decision making by combining research in Artificial Intelligence, Information Technology, and Systems Engineering. The field of Intelligent Decision Making (IDM) is expanding rapidly, due in part to advances in artificial intelligence and networkcentric environments that can deliver the technology. Communication and coordination between dispersed systems can deliver just-in-time information, real-time processing, collaborative environments, and globally up-to-date information to the human decision maker. At the same time, artificial intelligence techniques have demonstrated that they have matured sufficiently to provide computational assistance to humans in practical applications. It is the development direction of modern management science and technology. In this chapter, firstly we introduce the introduction and background of IMIS, and briefly, the related design conception. Subsequently, the Intelligent Decision Support System (IDSS) is depicted, which is the most significant technology of IMIS and related activities in the manufacturing process. The applications of IDSS and two cases for industrial manufacturing are then presented, representing the future development direction of manufacturing management. Lastly, a summary of this chapter is given. IMIS researchers and technologists have built and investigated Decision Support Systems (DSS) for more than 35 years. The developments in DSS began with building model-oriented DSS in the late 1960s which were followed by theory developments in the 1970s, and the implementation of financial planning systems and Group DSS in the early and mid-1980s. During the mid-1980s, Intelligent DSS were implemented through combining knowledge systems with DSS. These developments are discussed below, as well as the origins of Executive Information Systems, On-line Analytical Processing (OLAP), Business Intelligence, and the implementation of Web-based DSS in the mid-1990s, which quickly became a topic for active discussion, and whose influence spread widely.
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Shukla, Piyush Kumar, and Madhuvan Dixit. "Big Data." In Handbook of Research on Security Considerations in Cloud Computing, 326–44. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8387-7.ch016.

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In this chapter, Big Data provide large-volume, complex structure, heterogeneous and irregular growing data sets include multiple and autonomous different resources. In this chapter, With the growing improvement of networking sites, image information storing capacity become big issue too, Big Data concept are most growing expanding in all technical area and knowledge engineering domains, including physical, medical and paramedical sciences. Here a data-driven method consist demand-driven aggregation of information and knowledge mining and analysis, user interest prototyping, security and privacy aspects has been presented.
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Ortloff, Charles R. "Hydraulic Engineering and Water Management Strategies ofAncient Societies." In Water Engineering in the Ancient World. Oxford University Press, 2009. http://dx.doi.org/10.1093/oso/9780199239092.003.0007.

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Societies of widely different social, economic, political, religious, and technical innovation characteristics in opposing world hemispheres developed urban and rural population centres with water and agricultural systems to maintain stable economies and expanding populations. Despite vast historical, cultural, and world view differences between these societies, one common thread united them: the necessity for mastery of engineering skills to provide water for cities and agricultural systems. Although it may be thought that the technical basis to support water engineering practice is accompanied with pre-scientific concepts, many recent discoveries reveal the contrary: sophistication in the concept, design, and execution of water supply and distribution systems indicating knowledge of hydraulic principles beyond the scant hydraulics literature that survived the centuries. In the absence of ancient treatises on hydraulics practices, archaeological analysis of hydraulics works coupled with modern analysis methods provides a way to understand their technological accomplishments through ‘reverse engineering’ methodologies involving computer modelling techniques. Thus computer methodologies play a role to uncover the design intent, functionality, and operation of ancient water systems to provide insight into ancient engineering practices and their theoretical/empirical basis. In South American archaeology, the large variation in ecological conditions and landscape barriers provided the stage for the rise of civilizations and largely determined their agricultural practices. As an example, the Chimú civilization (800–1480 CE) occupied Peruvian coastal regions extending 500 km from the southern Chillon Valley to the northern Lambeyeque Valley. The desert coastal zone extends only a few kilometres inland from the Pacific Ocean before being bounded by the Cordillera Negra mountain chain. Agriculture was possible in coastal alluvial valleys through networks of canal systems originating from intermittent seasonal rivers. The temperature near the equator is near constant throughout the year while coastal rainfall averages about 2mm/year; occasional massive El Niño events which can deposit up to 150cm of rainfall in a few days occasionally break this pattern and cause extensive flooding and Weld erosion. Clearly, hydraulic practices related to the control of limited (and sometime excessive) water resources were vital for survival. Defensive measures to protect fill aqueduct structures against excessive El Niño rainfall and flooding events are expected to appear in the technology base as flood control was vital to sustainability.
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Schwarzkopf, Marc, Susann Zeiner-Fink, and Angelika C. Bullinger-Hoffmann. "This is how we learn A Best Practice Case of Qualification in SMEs for Work 4.0 - A Best Practice Case of Qualification in SMEs for Work 4.0." In Competence development and learning assistance systems for the data-driven future, 23–36. Goto Verlag, 2021. http://dx.doi.org/10.30844/wgab_2021_2.

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Digitalization is forcing small and medium-sized enterprises (SMEs) to rethink their work and production processes. Initiated by this process, the organization of production and employees are subject to change. As a result, the job profiles of employees are changing and expanding, as well as the way how knowledge is imparted. Innovative and digitized formats should be integrated into existing training programs and presented in a way that is suitable for use on mobile de-vices. Therefore, suitable and target group-specific teaching/learning formats are needed that support participative methods and digital collaboration. For this purpose, a digital teaching and learning format for the application area of automotive engineering in SMEs was designed. This prototypical teach-ing/learning format was created and evaluated in an iterative process through the participation of the potential users and taking into account existing usability criteria. The two methods used to evaluate the format were Think-Aloud and focus group, the results of this evaluations are presented in this paper. The results show that when evaluating the teaching/learning format, the test subjects mainly refer to the usability criteria of DIN ISO 9241-110, the structure of the course and the information content of the course. Recommendations for the creation of future digital teaching and learning formats for SMEs are derived from these findings.
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Conference papers on the topic "280110 Expanding knowledge in engineering"

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Jinchao, Wang. "Expanding Strategy of Tourism Industry based on Knowledge Economy." In International Conference on Information System and Management Engineering. SCITEPRESS - Science and Technology Publications, 2015. http://dx.doi.org/10.5220/0006021701830186.

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Huntinghawk, Farrah, Candace Richard, Sarah Plosker, and Gautam Srivastava. "Expanding Cybersecurity Knowledge Through an Indigenous Lens: A First Look." In 2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 2020. http://dx.doi.org/10.1109/ccece47787.2020.9255753.

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Stevanoviu, Jelena, Srdjan Atanasijeviu, Tatjana Atanasijeviu, and Monika Zahar. "Expanding the level of engineer knowledge for software modeling within corporate education by active and collaborative learning." In 2020 IEEE Global Engineering Education Conference (EDUCON). IEEE, 2020. http://dx.doi.org/10.1109/educon45650.2020.9125250.

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Kurtoglu, Tolga, Matthew I. Campbell, Joah Gonzalez, Cari R. Bryant, Robert B. Stone, and Daniel A. McAdams. "Capturing Empirically Derived Design Knowledge for Creating Conceptual Design Configurations." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84405.

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In an ideal design process, designers envision a configuration of components prior to determining dimensions or sizes of these components. Given the breadth of suppliers and production methods that exist today, most engineered artifacts are a mix of both custom-made parts and OEM (original equipment manufacturer) parts. The design of any future artifact must be carefully planned to take advantage of the diverse set of possibilities. We conjecture that computational design tools could be developed to help designers navigate the design space in creating configurations from detailed specifications of function. In this research, a methodology is developed that extracts design knowledge from an expanding online library of components in the form of grammar rules. From an initial implementation of forty-five rules compiled from 15 components extracted from three products, we demonstrate a computational process that builds a new design configuration by borrowing concepts from how common functions are solved in related designs.
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Murakami, Tamotsu, Yosuke Kikuchi, and Youji Hiraoka. "Knowledge Management for Fault Tree Analysis Based on Quantity Dimension Indexing." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49734.

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In this paper, the authors propose computerized support for fault tree analysis (FTA) based on a new design knowledge management approach called quantity dimension indexing. FTA is a method of analyzing and visualizing the causes of fault events by expanding a fault event hierarchically to its possible cause events and constructing a tree diagram representing the entire structure of the problem. When a designer finds or encounters a problem during a product design and development process, an effective way of ensuring the security and safety of the product is to identify all the possible causes of the problem by FTA and fix them. Although FTA is an effective method, it is not easy for a designer to construct a complete fault tree without any misunderstanding or oversight. A promising approach for supporting FTA is to utilize a computerized knowledge management method. Although many knowledge management techniques for literal expression have been developed, they are not necessarily suitable for managing the engineering design knowledge of physical phenomena. To solve this problem, the authors propose a new design knowledge management approach called quantity dimension indexing and computerized support for FTA such as the verification of consistency of a fault tree and fault tree construction advice. By analyzing fault tree examples based on actual design activities in a company, the possible feasibility and future promise of the proposed approach are indicated.
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Tan, Suo, Yong Zeng, Greg Huet, and Clément Fortin. "Effective Reverse Engineering of Qualitative Design Knowledge: A Case Study of Aerospace Pylon Design." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13006.

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Global collaboration is now a key for enterprises to rapidly achieve their worldwide successes. During the rapid expansion of their business, many challenges are emerging, e.g., novice training, knowledge transferring, intellectual property (IP) protection. This paper presented an effective approach for gaining new knowledge in a design project through reverse engineering by using Environment Based Design (EBD) methodology. The case study used in this paper was designed to demonstrate how design knowledge can be assimilated by using the proposed approach. A graduate student, without any aerospace design knowledge and experience, was presented with a sentence extracted from a statement of work of a student capstone project in the aerospace engineering department of École Polytechnique de Montréal. Within a month, the graduate student designer was able to deliver a conceptual design solution including product life cycle analysis, with only public resources at his disposal. The results were then evaluated by experts in aerospace who have collectively overseen the project for many years, on how much knowledge the student had assimilated. A comparison, between the student designer and other novice designers from the project, was given thereafter. The assessment turns out promising and inspiring in terms of the knowledge assimilation for a novice within such a short time. In other words, the effectiveness of the presented approach has been validated. This is a feasible attempt to significantly shorten the time and minimize the efforts for novice training and knowledge transferring in education and industry, especially when a firm is expanding their global business.
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Gautham, B. P., Natarajan Swaminathan, Rishabh Shukla, Trinath Gaduparthi, and Chetan Malhotra. "Digital Engineering Platform for Synergistic Decision-Making In Manufacturing Plant Operations: Research Questions." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-91277.

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Abstract Decision makers in the manufacturing industry ranging from plant operators to senior management make decisions based on a combination of defined procedures and rules, expert inputs and analysis, and their own knowledge and understanding of the problem context. Decision spaces are getting more complex, with the business paradigms shifting towards autonomous plants and servitization of products. With the advent of Internet of Things (IoT) and technologies such as machine learning and digital twins, the resources and capabilities available to decision-makers are expanding vastly. The gamut of concerns to be addressed is also expanding, with new challenges such as sustainability and its concomitant regulations and the pressure to make businesses more socially aware. Further, it would be ideal if decision-makers could easily draw upon the relevant knowledge, intuition, and experience of human experts, as well as knowledge currently buried in documents and data, and synthesize all the diverse inputs towards informed decision-making by integrating cyber, physical, and social systems. This motivates the question, “How do we create platforms that synergize these diverse knowledge sources and capabilities to facilitate better decision-making?” In this paper, we try to delve into identification of few key research questions and discuss opportunities and requirements around the same, that can aid in creating a digital platform to synergize all these diverse inputs and support decision-making. While this paper uses decision-making in manufacturing plant operations to explore the challenges and discuss one possible approach, the problem of enabling seamless synergy between the knowledge and capabilities of diverse human, IT and physical elements applies to all Cyber Physical Social Systems (CPSS).
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Ayers, Ray R., and Saltuk B. Aksu. "The 20-Hurricane Test: New Knowledge on Deepwater Polyester Mooring Integrity." In ASME 2009 28th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2009. http://dx.doi.org/10.1115/omae2009-79021.

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In a recent U.S. Minerals Management Service (MMS) sponsored project exploring the “value of polyester insert recovery and testing,” we found that: (1) the only major cause of rope structural integrity loss was third-party damage to the mooring system components, and that only in-situ inspection of the mooring ropes by ROV video (not insert recovery/testing) can effectively discover this damage; (2) because of the demonstrated structural integrity of polyester ropes, the major concerns of rope creep and fatigue (or cyclic wear) damage have been proven to be inconsequential; and (3) based on a risk/benefit analysis, insert recovery/testing has been determined to have no benefit in reducing the risk of normal operations. As a result, regulatory requirements have been relaxed on this issue. We recommended that a polyester rope cycling (fatigue) test based on being subjected to 20 hurricanes (one per year for 20 years) with the strength of Hurricane Katrina should be adopted as a “benchmark” for qualification testing of different designs and brands of polyester rope. Based on the very first 20-hurricane tests with twisted, three-strand, unjacketed subropes being subjected to 20,000 cycles of loads from 30% to 60% of average breaking strength, we found a reduction in breaking strength of only 6%. Now, for DeepStar, we are expanding the testing to lower mean loads and different brands of rope/subrope. A recent finding is that the lower the mean load for cycling (with the same cycling range), the greater the cyclic wear damage to the subrope, and the lower the residual rope strength. This result is contrary to that found for steel wire rope and chain fatigue. Our paper provides details of our 20-hurricane testing of various polyester subrope designs, and describes continuing development of a new strain-based hypothesis for estimating the remaining life performance of a polyester rope, based on a prediction of major hurricane exposure and the design life of the mooring system.
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Hsu, Kwen. "Numerical Performances of Explicit Cartesian Methods for Compressible Moving-Boundary Flow Problems." In ASME 2006 2nd Joint U.S.-European Fluids Engineering Summer Meeting Collocated With the 14th International Conference on Nuclear Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/fedsm2006-98086.

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Cartesian method, which in some places is mentioned as Volume-Tracking Method, is one of the popular methods used in simulating transient flow problems involving complex moving boundaries. It has the advantage of being time-saving, efficient and robust for certain types of fluid-structure interaction problems. This method is featured by a Cartesian background Euler mesh discretizing the flow domain and a moving surface cutting through it. The most critical operation of this method is treating the cells cut by the moving boundaries accurately and stably. When the Cartesian methods are applied, the temporal discretization of the governing equations of the flow can be either implicit or explicit. For simulations cases in which time-accurately capturing wave propagation or flow evolution is essential, explicit approach still plays an important role among the researchers and currently available simulation codes. The current study is focused on the numerical performances of the explicit type of Cartesian methods when applied on the compressible flow cases. The accuracy of the simulation results, stability and grid-convergence problems resulted from a moving, impermeable boundary cutting through the background mesh are addressed. Example problems include the one-dimensional piston problem and the expanding sphere flow problems. In one case the sphere expands supersonically thus a spherical shock is generated. In another case it expands at a subsonic speed and works as a monople impulse noise source. To the best knowledge of the author, the problem of expanding-sphere generated acoustic impulse has not been reported anywhere else. Simple theoretical analyses are included and results of numerical experiments are reported.
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Springer, William T., and Owen F. Hedden. "ASME NDE Engineering Division: 25 Years of Excellence." In ASME 2008 Pressure Vessels and Piping Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/pvp2008-61596.

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Since its beginnings in 1982, the NDE Engineering Division has worked to emphasize the need to integrate analysis, design, materials, manufacturing, and inspection into the overall pressure vessel design, fabrication, installation, and evaluation process so that not only are quality products put into service, but also that the condition of those products can be accurately assessed over their lifetimes. Recently, the division has begun exploring avenues that will allow it to interact with other elements within ASME where synergy clearly exists, e.g. the Pipeline Systems Division and the Petroleum Institute, as well as other organizations such as ASNT. The goal is to work on ways in which the knowledge base and past successes of the division can be used to support activity outside of the pressure vessel area while continuing to work on expanding the interaction already taking place between the NDE Engineering and Pressure Vessel and Piping Divisions.
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