Relevant bibliographies by topics / Intelligent design

Academic literature on the topic 'Intelligent design'

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Published: 4 June 2021
Last updated: 1 August 2024

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Journal articles on the topic "Intelligent design"

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Powell, J. A. "Intelligent design teams design intelligent buildings." Habitat International 14, no. 2-3 (January 1990): 83–94. http://dx.doi.org/10.1016/0197-3975(90)90038-3.

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Regli, William C. "Design and Intelligent Machines." AI Magazine 38, no. 3 (October 2, 2017): 63–65. http://dx.doi.org/10.1609/aimag.v38i3.2752.

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Many are interested in the design of intelligent machines. I am interested in design and how intelligent machines can transform this human endeavor in positive ways. I would like us to renew our consideration of some of the fundamental questions from the field of artificial intelligence, questions about human creativity and agency, in the context of design.
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刘, 恒丽. "Innovative Design of Manhole Covers and Intelligent Monitoring System Interface for Intelligent Cities." Design 08, no. 02 (2023): 535–47. http://dx.doi.org/10.12677/design.2023.82069.

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Dai, Dan Dan. "Artificial Intelligence Technology Assisted Music Teaching Design." Scientific Programming 2021 (December 21, 2021): 1–10. http://dx.doi.org/10.1155/2021/9141339.

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With the continuous improvement of the global economic level and scientific level, information technology has penetrated into all fields of people’s life. Today, the strategy of vigorously promoting educational modernization has created conditions for intelligent music teaching and promoted the in-depth application of artificial intelligence technology in education. Intelligent instructional design supported by artificial intelligence technology is the deep integration of information technology and music teaching. Through the intelligent perception technology, learning analysis technology, and emotional computing technology of artificial intelligence, an intelligent music teaching model is established. The online learning and education platform based on big data intelligence provides teachers with rich teaching methods, provides personalized evaluation and adaptive learning services for students’ learning, and helps improve the efficiency of music teaching. The traditional teaching design model cannot effectively guide the intelligent music teaching and cannot meet the needs of students’ development. Therefore, on the basis of previous studies, the author studies the intelligent teaching design supported by artificial intelligence technology. This study uses new generation information technologies such as big data, Internet of things, mobile Internet, and artificial intelligence to build a complete set of scientific intelligent music teaching design model. Wisdom teaching provides a reference for the whole process before, during, and after class, helps guide teachers to better carry out wisdom teaching, helps students explore cooperative and autonomous learning, and promotes the wisdom transformation of teaching methods and learning methods to a certain extent. Music classroom teaching has become more targeted and effective. Therefore, it is of great significance to cultivate intelligent music talents.
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Harris, William S., and John H. Calvert. "Intelligent Design." National Catholic Bioethics Quarterly 3, no. 3 (2003): 531–61. http://dx.doi.org/10.5840/ncbq20033333.

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Shelton, Jim D. "INTELLIGENT DESIGN." Southwest Philosophy Review 19, no. 2 (2003): 113–17. http://dx.doi.org/10.5840/swphilreview200319245.

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Baker, Robin. "INTELLIGENT DESIGN." Design Management Journal (Former Series) 4, no. 2 (June 10, 2010): 44–47. http://dx.doi.org/10.1111/j.1948-7169.1993.tb00136.x.

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Terry, Mark. "Intelligent Design." American Biology Teacher 76, no. 2 (February 1, 2014): 137–38. http://dx.doi.org/10.1525/abt.2014.76.2.12b.

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Crease, Robert P. "Intelligent design." Physics World 18, no. 10 (October 2005): 19. http://dx.doi.org/10.1088/2058-7058/18/10/27.

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Hollyhead, Steven. "Intelligent design." Manufacturing Engineer 72, no. 3 (1993): 106. http://dx.doi.org/10.1049/me:19930053.

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Dissertations / Theses on the topic "Intelligent design"

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Dudziak, Jillian Amistoso Perez. "Intelligent design." Master's thesis, University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4881.

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As human beings we are designed and created in a fabric that is profound and complex. We are built with a framework where mind and body work in a concerted effort to maintain our lives automatically. A deep and defining part of our existence as humans is not just the innate desire to live but to live in consistent well-being--emotionally, physically, and mentally. I believe when we incorporate our knowledge of human physiology into our creative process then we allow ourselves a greater opportunity to create an authentic connection with our intended audience. My work during the past three years has been rooted in the study of these philosophical and scientific principles. I created a series of visual experimentations that aim to assist in my understanding of human beings at an emotional and biological level. Armed with a deep desire to understand humanity, my goal is to create work that fosters positive change and has significant impact in the world. My past and present research has been focused on human emotions, the intuitive creative process and the relationship between technology and establishing social identity.
ID: 029809330; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Thesis (M.F.A.)--University of Central Florida, 2011.; Includes bibliographical references (p. 20).
M.F.A.
Masters
Visual Art and Design
Arts and Humanities
Studio Art and the Computer
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Atanackovic, Djordje. "Intelligent power system design." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ29878.pdf.

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Atanackovic, Djordje. "intelligent power system design." Thesis, McGill University, 1996. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=41969.

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In this thesis, the concept of an intelligent system for the design and planning of electric power systems is developed. Such a system serves to preserve the vast body of power system design knowledge by identifying, structuring and consolidating it into one easily accessible source. The intelligent system can then be used to support experienced power system planners or for training purposes. The main planning and design activities considered include the design of a complete power system or of specific subsystems such as a substation or a transmission corridor. The principal features and main components of this general intelligent system, called PSIDE, are delineated.
A general methodology and a design tool were then devised for modelling and using this kind of knowledge. The object-oriented strategy was found to be the most suitable due its powerful capabilities to naturally represent the structure and behaviour of power systems. Thus, PSIDE is based on object-oriented knowledge models for design tasks such as point-to-point transmission design, insulation coordination as well as protection system and substation design.
In order to validate the proposed concepts as well as the object-oriented paradigm adopted for their realization, a substation design module (SIDE) was fully developed and tested.
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Bonanni, Leonardo Amerigo 1977. "Design of intelligent interiors." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33895.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2005.
Includes bibliographical references.
Ubiquitous computing is transforming interior design by allowing utilities, goods and information to be delivered where and when we need them. How will new information technologies impact the design of interior spaces? Intelligent interiors can be more flexible and expressive than traditional spaces. Automation, personal fabrication and augmented reality can be applied to interior spaces with new interaction modes that operate at an architectural scale. Water, light, and other utilities can be automated in a way that empowers users by providing direct feedback, tangible benefit and being fail-soft. Appliances can make it possible to produce and recycle a large number of variable goods locally and on demand. Many of the objects and surfaces of interior spaces can serve as displays to provide information intuitively where and when it is needed. This thesis demonstrates how distributed intelligence can increase productivity and enrich the experience of interior spaces. Experiments with augmentations to the utilities, goods and information of a working kitchen suggest guidelines for interaction with intelligent interior spaces. The perceptual load and quality of interaction needs to be balanced; for example in our experiments projected text was almost always distracting.
(cont.) This work demonstrated that: information should behave at the scale of architectural space; an intelligent interior space should provide as much fidelity at the lowest bandwidth possible to support activity without distracting from tasks; the association of information to the tasks and objects referred to should be concrete and obvious; and appropriate feedback should accompany new interaction to increase the control and confidence of users. This thesis shows that new interaction modes for interior spaces can be intuitively understood and valued. In addition to being more flexible and functional, intelligent interiors can enrich everyday activity with new sensory experiences.
by Leonardo Amerigo Bonanni.
S.M.
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Ramsden, Sean. "Intelligent design and biology." Thesis, Rhodes University, 2003. http://hdl.handle.net/10962/d1007561.

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The thesis is that contrary to the received popular wisdom, the combination of David Hume's sceptical enquiry and Charles Darwin's provision of an alternative theoretical framework to the then current paradigm of natural theology did not succeed in defeating the design argument. I argue that William Paley's work best represented the status quo in the philosophy of biology circa 1800 and that with the logical mechanisms provided us by William Dembski in his seminal work on probability, there is a strong argument for thr work of Michael Behe to stand in a similar position today to that of Paley two centuries ago. The argument runs as follows: In Sections 1 and 2 of Chapter 1 I introduce the issues. In Section 3 I argue that William Paley's exposition of the design argument was archetypical of the natural theology school and that given Hume's already published criticism of the argument, Paley for one did not feel the design argument to be done for. I further argue in Section 4 that Hume in fact did no such thing and that neither did he see himself as having done so, but that the design argument was weak rather than fallacious. In Section 5 I outline the demise of natural theology as the dominant school of thought in the philosophy of biology, ascribing this to the rise of Darwinism and subsequently neo-Darwinism. I argue that design arguments were again not defeated but went into abeyance with the rise of a new paradigm associated with Darwinism, namely methodological naturalism. In Chapter 2 I advance the project by a discussion of William Dembski's formulation of design inferences, demonstrating their value in both everyday and technical usage. This is stated in Section 1. In Sections 2 and 3 I discuss Dembski's treatment of probability, whilst in Section 4 I examine Dembski's tying of different levels of probability to different mechanisms of explanation used in explicating the world. Section 5 is my analysis of the logic of the formal statement of the design argument according to Dembski. In Section 6 I encapsulate objections to Dembski. I conclude the chapter (with Section 7) by claiming that Dembski forwards a coherent model of design inferences that can be used in demonstrating that there is little difference between the way that Paley came to his conclusions two centuries ago and how modem philosophers of biology (such as I take Michael Behe to be, albeit that by profession he is a scientist) come to theirs when offering design explanations. Inference to the best explanation is demonstrated as lying at the crux of design arguments. In Chapter 3 I draw together the work of Michael Behe and Paley, showing through the mechanism of Dembski's work that they are closely related in many respects and that neither position is to be lightly dismissed. Section 1 introduces this. In Section 2 I introduce Behe's concept of irreducible complexity in the light of (functional) explanation. Section 3 is a detailed analysis of irreducible complexity. Section 4 raises and covers objections to Behe with the general theme being that (neo-) Darwinians beg the question against him. In Section 4 I apply the Dembskian mechanic directly to Behe's work. I argue that Behe does not quite meet the Dembskian criteria he needs to in order for his argument to stand as anything other than defeasible. However, in Section 5 I conclude by arguing that this is exactly what we are to expect from Behe's and similar theories, even within competing paradigms, in the philosophy of biology, given that inference to the best explanation is the logical lever therein at work.
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Quinn, Liam. "Intelligent design of manufacturing systems." Thesis, De Montfort University, 1996. http://hdl.handle.net/2086/10696.

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The design of a manufacturing system is normally performed in two distinct stages, i.e. steady state design and dynamic state design. Within each system design stage a variety of decisions need to be made of which essential ones are the determination of the product range to be manufactured, the layout of equipment on the shopfloor, allocation of work tasks to workstations, planning of aggregate capacity requirements and determining the lot sizes to be processed. This research work has examined the individual problem areas listed above in order to identify the efficiency of current solution techniques and to determine the problems experienced with their use. It has been identified that for each design problem. although there are an assortment of solution techniques available, the majority of these techniques are unable to generate optimal or near optimal solutions to problems of a practical size. In addition, a variety of limitations have been identified that restrict the use of existing techniques. For example, existing methods are limited with respect to the external conditions over which they are applicable and/or cannot enable qualitative or subjective judgements of experienced personnel to influence solution outcomes. An investigation of optimization techniques has been carried out which indicated that genetic algorithms offer great potential in solving the variety of problem areas involved in manufacturing systems design. This research has, therefore, concentrated on testing the use of genetic algorithms to make individual manufacturing design decisions. In particular, the ability of genetic algorithms to generate better solutions than existing techniques has been examined and their ability to overcome the range of limitations that exist with current solution techniques. IIFor each problem area, a typical solution has been coded in terms of a genetic algorithm structure, a suitable objective function constructed and experiments performed to identify the most suitable operators and operator parameter values to use. The best solution generated using these parameters has then been compared with the solution derived using a traditional solution technique. In addition, from the range of experiments undertaken the underlying relationships have been identified between problem characteristics and optimality of operator types and parameter values. The results of the research have identified that genetic algorithms could provide an improved solution technique for all manufacturing design decision areas investigated. In most areas genetic algorithms identified lower cost solutions and overcame many of the limitations of existing techniques.
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Haque, Mesbah 1972. "Intelligent parking management infrastructure design." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/8032.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2003.
Includes bibliographical references (leaf 71).
This thesis discusses the different components required to build and design a prototype for the Intelligent Parking Management (IPM) infrastructure. Different aspects of the hardware and software components used to build the prototype is also discussed in the thesis along with discussion of business and marketing strategies for the viability of the solution for commercial use. A prototype solution was built using hardware and software components. The prototype was tested for real-time parking meter availability information for both general web customers and smart device users such as PDA with wireless access and Smart Phone mobile devices using 3G technologies. The tests were conducted in a controlled environment with simulation data for real parking meters. The IPM prototype solution infrastructure built was able to provide real-time parking information. The information was accessible via the Internet through standard browsers and 3G enable Smart Phones. The integration between the hardware and software components and the IPM infrastructure design prototype was enabled through various technologies such as Microsoft .NET platform, Microsoft SQL Server 2000, Microsoft Mobile Internet toolkit, DTS, ASP.NET and ADO.NET. The thesis discusses these technologies and their interconnectivity within the IPM infrastructure.
by Mesbah Haque.
M.Eng.
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Cheng, Mansim Connie 1979. "The design of intelligent cookware." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/27092.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
Includes bibliographical references (p. 81-82).
This thesis investigates the opportunity of teaching people how to cook by analyzing the ingredients' chemical content as they are using them, and the consequent creation of a specific class of context-aware cookware that aids its users. An inquisition on the chemical content of different food and the appropriate electronics for measuring it was done. An instrument, with embedded sensors and intelligence and in the form of a spatula, was created base on the result of the research, and tested to be able to measure salinity, acidity, temperature, and consistency. This tool was used to demonstrate that several ingredients could be measured easily, and recipes as varied as pickles and pancakes could be improved. The work demonstrates the possibility of having intelligence in the kitchen, and examines the pedagogical value of intelligent tools when they are capable of collaborating with and guiding its user. The research also inquires into the field of ubiquitous computing, in which sensors are placed in ordinary objects, and to assess its impact in a domestic environment.
by Mansim Connie Cheng.
M.Eng.
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Eckert, Claudia. "Intelligent support for knitwear design." Thesis, Open University, 1997. http://oro.open.ac.uk/54436/.

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Communication between different members of a design team often poses difficulties. The knitwear design process is shared by the designers, who plan the visual and tactile appearance of the garments, and the technicians, who have to realise the garment on a knitting machine and assemble it. This thesis reports a detailed empirical study of over' twenty companies in Britain and Germany, which shows that the communication problem constitutes a major bottleneck. Designers specify their designs inaccurately, incompletely and inconsistently; the technicians interpret these specifications according to their previous experience of similar designs, and produce garments very different from the designers' original intention. Knitwear is inherently difficult to describe, as no simple and complete notation exists for knitted structures; and the relationship between visual appearance and structure and technical properties of knitted fabric is subtle and complex. At the same time the interaction between designers and technicians is badly managed in many companies. This thesis argues that this communication bottleneck can be overcome by enabling designers to produce accurate specifications of technically correct designs, through the help. of an intelligent computer support system that corrects inconsistent input and proposes design suggestions that the user can edit. In this thesis this proposal is elaborated for one aspect of knitwear design: garment shape construction. Garment shapes are modelled using Bezier curves generated using design heuristics drawn from industrial practice, to create curves that look right to a designer and can be easily edited. The development of the garment shape models presented in this thesis involved the solution of unusual problems in numerical analysis. The thesis shows how the mathematical models can be integrated into an intelligent CAD system, and discusses die benefits of such a system could have for the design process.
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MCINTYRE, SCOTT CAMPBELL. "PLEXPLAN: AN INTEGRATED INTELLIGENT ENVIRONMENT FOR INFORMATION SYSTEMS PLANNING (ARTIFICIAL INTELLIGENCE)." Diss., The University of Arizona, 1986. http://hdl.handle.net/10150/183897.

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PLEXPLAN, an automated software system and methodology for Information Systems (IS) planning, is described. The PLEXPLAN methodology and tools are used to integrate information from multiple and dynamic perspectives on the organization. A conceptual and technical software architecture is described which permits storage, integration and manipulation of such information. The PLEXPLAN methodology is consistent with the PLEXPLAN software architecture inasmuch as specific techniques in the methodology are represented in the automated environment as tools. A case is presented where PLEXPLAN was used to address an Information Systems planning task. Use of the PLEXPLAN methodology and tools is specifically described as they relate to the case.
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Books on the topic "Intelligent design"

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Anderson, J. Kerby. Intelligent design. Eugene, Or: Harvest House Publishers, 2008.

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Copyright Paperback Collection (Library of Congress), ed. Intelligent design. New York, N.Y: Daw Books, 2009.

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Clemmitt, Marcia. Intelligent Design. 2455 Teller Road, Thousand Oaks California 91320 United States: CQ Press, 2005. http://dx.doi.org/10.4135/cqresrre20050729.

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Satapathy, Suresh Chandra, Vikrant Bhateja, B. Janakiramaiah, and Yen-Wei Chen, eds. Intelligent System Design. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-5400-1.

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Bhateja, Vikrant, K. V. N. Sunitha, Yen-Wei Chen, and Yu-Dong Zhang, eds. Intelligent System Design. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-4863-3.

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Sean, McDowell, ed. Understanding intelligent design. Eugene, Or: Harvest House Publishers, 2008.

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Wellcome, Glaxo, ed. Intelligent drug design. London: Macmillan Magazines, 1996.

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CAD, IFIP TC 5/WG 5. 2. Workshop on Intelligent. Intelligent CAD. Amsterdam: North-Holland, 1989.

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Andrew, Kusiak, ed. Intelligent design and manufacturing. New York: Wiley, 1992.

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Christensen, Torben Hammersholt. Darwin eller intelligent design. Frederiksberg: Anis, 2007.

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Book chapters on the topic "Intelligent design"

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Wolf, Jakob. "Intelligent Design." In Encyclopedia of Sciences and Religions, 1072–75. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-1-4020-8265-8_590.

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Harmon, David. "Real Intelligent Design." In A Naturalistic Afterlife, 141–62. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57978-8_8.

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Remedios, Francis X., and Val Dusek. "Fuller’s Intelligent Design." In Knowing Humanity in the Social World, 65–91. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-137-37490-5_5.

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Peterfreund, Stuart. "Epilogue: Intelligent Design?" In Turning Points in Natural Theology from Bacon to Darwin, 131–33. New York: Palgrave Macmillan US, 2012. http://dx.doi.org/10.1057/9781137015273_7.

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Goniwada, Shivakumar R. "Intelligent Operations." In Cloud Native Architecture and Design, 637–59. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7226-8_18.

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Lee, Mark H. "Better by design." In Intelligent robotics, 195–200. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-6237-1_10.

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Sutcliffe, A. G. "Intelligent User Interfaces." In Human-Computer Interface Design, 242–63. London: Macmillan Education UK, 1995. http://dx.doi.org/10.1007/978-1-349-13228-7_10.

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Fonseca, Camilo Isaza, Octavio J. Salcedo Parra, and Brayan S. Reyes Daza. "Intelligent Road Design Using Artificial Intelligence Techniques." In Mobile, Secure, and Programmable Networking, 166–77. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67807-8_13.

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Purcell, A. T., J. S. Gero, H. M. Edwards, and E. Matka. "Design Fixation and Intelligent Design AIDS." In Artificial Intelligence in Design ’94, 483–95. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-0928-4_28.

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Nasr, Emad S. Abouel, and Ali K. Kamrani. "Intelligent Design and Manufacturing." In Collaborative Engineering, 103–25. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-47321-5_6.

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Conference papers on the topic "Intelligent design"

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Naidu, Prakash C. R. J., and Andrew A. Goldenberg. "Design of Intelligent Systems: Measure of Information Content." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85575.

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Increasing intelligence in new products has necessitated a closer look at the application of design theory and methodology in the specific context of intelligent systems. In this paper, after reviewing the several prevalent notions of intelligent systems, some of the parameters and the measure of intelligence are discussed. The earlier work on evaluation of information content of automation systems is extended in the context of intelligent systems. The paper discusses a generic definition of intelligence more suitable for measurement in the realm of axiomatic design theory. It investigates the different issues pertaining to computation of information and its interpretation as a measure of intelligence considering an example of the basic maneuvers of an autonomous robot. The paper discusses the observations and elucidates the usefulness of information as a metric for measurement of intelligence.
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Ding, Wei, and Zhaoyi Li. "Analysis of Intelligent Design of Service Robot Based on Intelligent Transformation." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002317.

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Over the past 30 years from the end of the 20th century to the present, service robotics technology has made great progress, and many important results have been achieved in the broad interdisciplinary fields of robot mechanical structure, information transmission and interaction, material science, automation control, sensor technology, etc. . Every breakthrough in key technologies has enabled service robots to develop rapidly in the direction that people expect. With the in-depth development of Internet technology, the comprehensive popularization and promotion of the Internet of Things technology led by 5G. Coupled with the continuous breakthrough of new developments in the field of artificial intelligence, the development of service robots has encountered an unprecedented technological dividend period, and will surely usher in considerable development, becoming an important driving force for the promotion of human civilization and economic development.The rapid development of many advanced technologies such as artificial intelligence, big data, and 5G communications has directly promoted the rapid development of the robotics industry. Under the impetus of new technologies, service robots closely related to humans are developing rapidly. Service robots are becoming more and more intelligent. In this context, the design principles of service robots, interaction design, service mode design and other related fields are in urgent need of intelligent transformation, and the concept of intelligent design with artificial intelligence as the core has begun to be paid attention to by the academic community.The research on intelligent design in academia is currently mainly in the review stage, and the field of discussion is mainly focused on graphic design. This article hopes to broaden the research field of intelligent design by studying the intelligent design of service robots. At the same time, it provides new ideas and new paradigms for the innovative design of service robots to improve the user experience and service quality of service robots. This research mainly studies the design principles, design goals, interaction design, service mode and design process of existing service robots based on the perspective of intelligent design. This article mainly uses the literature analysis method and the desktop survey method to sort out related theories and design methods and combines specific practical case analysis to make a bold outlook on the intelligent design of service robots to help the intelligent transformation of service robots.In the era of intelligent design, the design principles of service robots are also changing and iterating. First of all, service robots must adapt to their service scenarios. Different service scenarios have different requirements for the function and existence of the product; secondly, Secondly, the interaction design of service robots should be carried out based on user experience, and technology serves as a tool to enhance users’ experience ; the last is the discussion of appearance design principles of service robots. This article takes the LeoBots Scrub Singapore sweeping robot as an example to propose that the appearance design of service robots needs to be developed around safety, emotion and bionics. Intelligent design is guided by traditional design thinking and methods, and conducts big data analysis and intelligent research on the essence, process, thinking and other aspects of industrial design through related design methodology, as the basis for intelligent design to simulate artificial design. The core technical means of intelligent design is artificial intelligence, which is based on big data analysis, combined with artificial intelligence technologies such as machine learning, artificial neural networks, genetic algorithms, and deep learning to achieve the intelligent development of the entire process design.The change of service robot design principles and the addition of intelligent design have changed the design process of service robots. Based on the practical cases of Haier U-BOT robots, this article actively explores the service robot design process under the development trend of intelligent transformation based on intelligent design in order to provide new ideas for the intelligent design of service robots. The intelligent transformation of service robots promotes the development of intelligent design, and intelligent design drives the intelligent transformation of service robots.
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Chew, Meng-Sang, Richard W. Longman, and Minh Q. Phan. "Intelligent Mechanisms." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57553.

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An intelligent mechanism is a traditional mechanism that incorporates within it, elements of intelligence both at the design stage. Thepurpose is to increase the operational envelop of the original meachanism so that it can now exhibit some from of learning, adapting, or responding to changes in the environment or new operating conditions. Since mechanisms are usually designed for repetitive motions, the application of intelligence that makes specific use of repetitive characteristics will markedly improve the functionality of the mechanisms. This is particularly true if the mechanisms have been incorporated with such intelligence at the early stages of design. This article develops the concept of an intelligent mechanism through the application of Iterative Learning Control and Repetitive Control methodologies to several traditional mechanisms. These range from the simple slider-crank and four-bar linkage to timing belts.
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Zhao, Hu, and Yuan Xiang. "A study on the current state of development of data-driven intelligent design and its impact on design paradigm." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003285.

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With the rise of big data and artificial intelligence, intelligent design platforms with data technology-driven and application scenarios have gradually become a common focus of design academia and industry, during which various intelligent design platforms have emerged, bringing profound changes to the design paradigm. This paper firstly, by collecting and analyzing related literature and cases, we elaborate the concept of data-driven intelligent design and sort out the research and application status of intelligent design tools based on the design process; then we analyze the impact of intelligent design on the design paradigm from three perspectives: design process, design object and designer, combined with the application and development status of intelligent design tools. We found that the development and application of intelligent design tools have made considerable progress, but at this stage the design process still requires the participation of human designers, so human-machine collaborative intelligence will be one of the long-term issues in the development of intelligent design tools; secondly, the application and development of intelligent design tools, while empowering the design process, also poses new challenges to the functions of designers and the adaptation of human-machine relationships.
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Myllylä, Mari, Antero Karvonen, and Hanna Koskinen. "Design Systems for Intelligent Technology." In Intelligent Human Systems Integration (IHSI 2024) Integrating People and Intelligent Systems. AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004490.

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Intelligent technology seems poised to emerge with unprecedented force across many domains of human activity. Advanced technologies (e.g. artificial intelligence (AI)–based applications and services) hold great promise to enhance work processes such as industrial operations and process control. However, the promise of intelligent technologies will not be realised unless their use is properly grounded in terms of their advantages to human action, operational safety, and the efficiency of the controlled system. Therefore, the novelty associated with what can be done with intelligent technology and how it should be integrated into human action and thought presents key design problems and questions to be answered in the design of future systems.Design systems (DSs) have become standard product design and development tools for creating consistent and well-functioning software applications and industry products by providing standard and reusable design patterns, components, and language. Currently, the industrial application of DSs mainly focuses on aspects of technology design such as visual identity, design principles, user interface elements, traditional engineering design, and interaction patterns. In the present paper, we propose to investigate and open a discussion on the concept of DSs for intelligent technology. This concept extends and builds upon current ideas and industrial practices regarding DSs. This paper is based on case studies of Finnish industrial companies seeking to implement and develop intelligent technology solutions for process control and design processes.Based on our research, we offer preliminary ideas on how DSs should be expanded to better address, identify, and solve challenges relevant to the design of intelligent technologies. Furthermore, we see that these extensions to the present industrial applications of DSs represent an important – even indispensable – step towards realising the vision of Industry 5.0, in which people and intelligent technologies collaborate.
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Zarka, Joseph. "“Intelligent” Optimal Design." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/dac-14493.

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Abstract The engineers have to face very important problems in the design, the test, the survey and the maintenance of their structures. These problems did not yet get full answer even from the best people in the world. Usually in these problems (such as no satisfactory constitutive modeling of materials, no real control of the accuracy of the numerical simulations, no real definition of the initial state and/or the effective loading of the structure), there is no solution and the experts do not understand the problem in its whole. Moreover, the available data may be not statistically representative (i.e. are in limited number), fuzzy, qualitative and missing in part. We propose a practical solution the «Intelligent Optimal Design of Materials and Structures» where the actual best knowledges of the researchers/experts are intelligently mixed to the results of experiments or real returns.
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Xue, Zhongjie, and Danhua Zhao. "Design Innovation Based on Classification Model of Intelligent Products." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001934.

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Rencently, with the development and application of IoT, AI, and Internet technology, traditional products have been transformed into intelligent products with different levels of intelligence and improved human life’s quality. However, it does not provide a comprehensive and holistic design method for new intelligent products. The overall aims of service design are to system and experience and design research based on users, technologies, user-behaviors, environment, etc. it can provide guidance and direction for the designer and upgrading of the complex intelligent system. In this paper, we used service design thinking to give intelligent product suggestions for the design process from dependent factors, like the user behavior, technologies, material. We selected the target users, used the user journey map analyzed the stakeholder's activities, and think to extract the user value. Finally, this paper proposes a design process based on service design, which takes into account the value of the different levels of intelligent products.
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Mach, Maria Antonina, and M. Salem Abdel-Badeeh. "Intelligent techniques for business intelligence in healthcare." In 2010 10th International Conference on Intelligent Systems Design and Applications (ISDA). IEEE, 2010. http://dx.doi.org/10.1109/isda.2010.5687209.

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Hentea, Mariana. "Intelligent System for Information Security Management: Architecture and Design Issues." In InSITE 2007: Informing Science + IT Education Conference. Informing Science Institute, 2007. http://dx.doi.org/10.28945/3055.

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The limitations of each security technology combined with the growth of cyber attacks impact the efficiency of information security management and increase the activities to be performed by network administrators and security staff. Therefore, there is a need for the increase of automated auditing and intelligent reporting mechanisms for the cyber trust. Intelligent systems are emerging computing systems based on intelligent techniques that support continuous monitoring and controlling plant activities. Intelligence improves an individual’s ability to make better decisions. This paper presents a proposed architecture of an Intelligent System for Information Security Management (ISISM). The objective of this system is to improve security management processes such as monitoring, controlling, and decision making with an effect size that is higher than an expert in security by providing mechanisms to enhance the active construction of knowledge about threats, policies, procedures, and risks. We focus on requirements and design issues for the basic components of the intelligent system.
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Li, Xuesong, and Shixuan Cai. "Emotional Design for Intelligent Products Using Artificial Intelligence Technology." In 2021 2nd International Conference on Intelligent Design (ICID). IEEE, 2021. http://dx.doi.org/10.1109/icid54526.2021.00059.

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Reports on the topic "Intelligent design"

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Santurri, P. R. ,., C. Hartmann-Thompson, and S. E. Keinath. Center for Intelligent Fuel Cell Materials Design. Office of Scientific and Technical Information (OSTI), August 2008. http://dx.doi.org/10.2172/944938.

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Pertzborn, Amanda J. Intelligent Building Agents Laboratory: Hydronic System Design. National Institute of Standards and Technology, September 2016. http://dx.doi.org/10.6028/nist.tn.1933.

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Pertzborn, Amanda J., and Daniel A. Veronica. Intelligent building agents laboratory: air system design. Gaithersburg, MD: National Institute of Standards and Technology, September 2018. http://dx.doi.org/10.6028/nist.tn.2025.

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Georgakis, Panagiotis, Christopher Nwagboso, and Yan Chen. Design Toolkit for Integration of Intelligent Transport Systems. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0320.

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Andriole, Stephen J. The Design and Development of an Intelligent Planning Aid. Fort Belvoir, VA: Defense Technical Information Center, July 1986. http://dx.doi.org/10.21236/ada178332.

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Kunerth, D. C., and J. Gray. Nonintrusive sensing and control for intelligent processing and design of castings. Office of Scientific and Technical Information (OSTI), November 1995. http://dx.doi.org/10.2172/266743.

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Scott, Ronald, Emille M. Roth, Stephen E. Deutsch, Erika Malchiodi, Thomas E. Kazmlerczak, Robert G. Eggleston, Smauel R. Kuper, and Randall D. Whitaker. Work-Centered Support Systems: A Human-Centered Approach to Intelligent System Design. Fort Belvoir, VA: Defense Technical Information Center, January 2003. http://dx.doi.org/10.21236/ada446490.

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Kulhandjian, Hovannes. Smart Robot Design and Implementation to Assist Pedestrian Road Crossing. Mineta Transportation Institute, June 2024. http://dx.doi.org/10.31979/mti.2024.2353.

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This research focuses on designing and developing a smart robot to assist pedestrians with road crossings. Pedestrian safety is a major concern, as highlighted by the high annual rates of fatalities and injuries. In 2020, the United States recorded 6,516 pedestrian fatalities and approximately 55,000 injuries, with children under 16 being especially vulnerable. This project aims to address this need by offering an innovative solution that prioritizes real-time detection and intelligent decision-making at intersections. Unlike existing studies that rely on traffic light infrastructure, our approach accurately identifies both vehicles and pedestrians at intersections, creating a comprehensive safety system. Our strategy involves implementing advanced Machine Learning (ML) algorithms for real-time detection of vehicles, pedestrians, and cyclists. These algorithms, executed in Python, leverage data from LiDAR and video cameras to assess road conditions and guide pedestrians and cyclists safely through intersections. The smart robot, powered by ML insights, will make intelligent decisions to ensure a safer and more secure road crossing experience for pedestrians and cyclists. This project is a pioneering effort in holistic pedestrian safety, ensuring robust detection capabilities and intelligent decision-making.
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Kumar, Sunil. Design of Intelligent Cross-Layer Routing Protocols for Airborne Wireless Networks Under Dynamic Spectrum Access Paradigm. Fort Belvoir, VA: Defense Technical Information Center, May 2011. http://dx.doi.org/10.21236/ada543607.

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Mara, Nathan Allan, Curt Allan Bronkhorst, and Irene Jane Beyerlein. Towards intelligent microstructural design of Nanocomposite Materials. Lightweight, high strength structural/armor materials for service in extreme environments. Office of Scientific and Technical Information (OSTI), December 2015. http://dx.doi.org/10.2172/1233246.

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