Academic literature on the topic 'Design automation'

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Journal articles on the topic "Design automation"

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Shah, Ankit P., Prof Kalpesh N. Shah, and Prof Harsh B. Joshi. "Design Automation of Shell." Indian Journal of Applied Research 4, no. 4 (October 1, 2011): 214–16. http://dx.doi.org/10.15373/2249555x/apr2014/65.

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Cook, B. M. "Design automation." Computer-Aided Design 21, no. 8 (October 1989): 535. http://dx.doi.org/10.1016/0010-4485(89)90064-x.

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Farrell, Bradley. "The role of the human in an age of automation." APPEA Journal 58, no. 2 (2018): 545. http://dx.doi.org/10.1071/aj17188.

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The liquefied natural gas (LNG) industry in Australia has a very large installed asset base that is highly automated. This paper explores established, emerging and experimental automations that could materially impact human work in existing LNG facilities. The focus is on automations that assist with physical interventions on the built asset. Riley’s method for assessing the level of automation is used on current and emerging automations in the industry. Use cases demonstrate that as automation increases, the primary focus of the human becomes one of system design, monitoring and intervention. The changing role of the human in this age of automaton has important implications for the development of human work skills for the future: with increasing automation, the nature of work will change. In the future (1) field workers need to supervise and maintain robots, (2) functional specialists need to define and debug robot instruction sets, and (3) system designers need to master the opportunities and challenges in an exciting new field: the robot-human-interface.
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Dahiyat, Bassil I., and Stephen L. Mayo. "Protein design automation." Protein Science 5, no. 5 (May 1996): 895–903. http://dx.doi.org/10.1002/pro.5560050511.

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Scattini, Noel, and Stanislaw Paul MAJ. "Aquaponics Automation – Design Techniques." Modern Applied Science 11, no. 11 (October 21, 2017): 28. http://dx.doi.org/10.5539/mas.v11n11p28.

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Aquaponics operators that have transitioned from hobby to commercial operators have commonly failed to meet commercial expectations. One of the reasons for failures is the occurrence of severe technical errors. Unexpected events can often have drastic financial consequences on new operators, which could be initially operating within tight margins. Standard techniques like Hazard and Operability studies (HAZOP) are conducted by process and chemical industries to do systematic analysis on a process and its sub-systems. Many aquaponics operators are not familiar with these design processes and find design inadequacies after an event, which normally has financial consequences. This design process is able to identify disturbances that could lead to product deviation and identify hazards that could affect the environment. Identifying process issues and designing engineering controls to prevent or mitigate issues can be carried out in multiple forms or design tools. Failure Mode Effect Analysis (FMEA) is one such tool in a designer’s toolbox and is recognized as an international standard (IEC 60812), which describes techniques to analyze processes that can effect the reliability of a process plant or determine what possible hazards could be present. The use of FMEA has been utilized by industries to aid in carrying out HAZOP design processes, the use of these design processes can lead to inherently reliable processes. Piping and Instrumentation Diagrams also referred to as Process and Instrumentation Diagram (P&ID) are used in the process industry to show an overview of the process plant. The P&ID also identifies instruments that could be required for measurement and any associated alarms that are present to warn operators and mitigate failures in the process. The use of these design tools have identified and mitigated the risks within the initial design concept to prevent these technical errors with engineering controls designed into the process.
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Konstantinov, Gennadiy, and Sardor Akhmedov. "Automation of turbogenerator design." Proceedings of Irkutsk State Technical University 23, no. 6 (December 2019): 1126–35. http://dx.doi.org/10.21285/1814-3520-2019-6-1126-1135.

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Wharton, D. "Handbook of design automation." Proceedings of the IEEE 74, no. 1 (1986): 236–37. http://dx.doi.org/10.1109/proc.1986.13451.

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Nielsen, A. A. K., B. S. Der, J. Shin, P. Vaidyanathan, V. Paralanov, E. A. Strychalski, D. Ross, D. Densmore, and C. A. Voigt. "Genetic circuit design automation." Science 352, no. 6281 (March 31, 2016): aac7341. http://dx.doi.org/10.1126/science.aac7341.

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Waxman, Ronald. "Design Automation Standards Development." IEEE Transactions on Reliability R-36, no. 5 (December 1987): 507–13. http://dx.doi.org/10.1109/tr.1987.5222458.

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Kusiak, Andrew, and Mehmet Aktan. "Automation in Engineering Design." IFAC Proceedings Volumes 31, no. 15 (June 1998): 217–22. http://dx.doi.org/10.1016/s1474-6670(17)40556-8.

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Dissertations / Theses on the topic "Design automation"

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Pedale, Anna. "Study and design energy-efficient home automation systems." Doctoral thesis, Università Politecnica delle Marche, 2015. http://hdl.handle.net/11566/243047.

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Home Automation Systems (HAS) consist of a number of appliances (e.g. washing machine, dishwasher, oven, refrigerator, boiler) and subsystem (e.g. for heating, for air conditioning, for entertaining), which are connected by a communication network. The various elements of the system share common resources (mainly electricity, but also water and gas) to accomplish their specific tasks, according to the user’s requirements. Since resources are limited, in the sense that their consumption cannot exceed fixed thresholds (related to costs, contract’s rules or provider’s directives), competition between the elements of the system generates internal conflicts. The aim of this thesis is to describe an approach to modeling and study of home automation systems, based on the MAS theory, which allows to introduce a rigorous formalization and to define practical tools for the analysis of performances. The models consist of a switched dynamics governed by a Petri net. They are two interconnected components, one of which is basically a switched system with time-driven dynamics and the other is an event-driven dynamical system, which influence each other. The first component (called BEHAVIOR) models the functional behavior of the appliance, while the second component (called PLUG) models its interaction with the supply system of each resource (e.g. electricity, gas, water) and the environment. To optimize the functioning of the modern house we need a comprehensive study of the entire structure seen as a distributed control system. It requires a study of real load profile that is the pattern of electricity usage of a device in the home and an analysis on the skills and properties that every device owns. The entire environment is composed by cognitive and responsive agents, able to communicate its request and to respond to user requests. This communication layer is composed by a data dashboard and a web service able to share and control user behavior in order to satisfy his desire.
Un insieme di elettrodomestici (ad esempio lavatrice, lavastoviglie, forno, frigorifero, caldaia) e sottosistemi (ad esempio per il riscaldamento, per aria condizionata), che sono collegati da una rete di comunicazione, costituiscono un Home Automation Systems (HAS). Ogni sistema appartenente a tale ambiente condivide una risorsa comune (energia elettrica, ma anche acqua e gas) per raggiungere i propri compiti, in base alle esigenze dell'utente. Dal momento che le risorse sono limitate, nel senso che il loro consumo non può superare dei limiti fissati (legati ai costi, le regole del contratto o direttive del fornitore), la concorrenza tra gli elementi del sistema genera conflitti interni. Lo scopo di questa tesi è quello di descrivere un approccio alla modellazione e studio di sistemi domotici, basato sulla teoria MAS, che consente di introdurre una formalizzazione rigorosa e definire strumenti pratici per l'analisi delle prestazioni del sistema. Il comportamento di tali modelli è caratterizzato dalle reti di Petri. Essi si compongono di due dinamiche, una guidata dal tempo e l’altra dagli eventi. Il primo componente (chiamato BEHAVIOR) modella il comportamento funzionale dell'elettrodomestico, mentre il secondo componente (chiamato PLUG) modella l’interazione con la risorsa condivisa. Per ottimizzare il funzionamento della casa occorre un ampio studio dell'intero ambiente e del profilo di carico reale di ciascun elettrodomestico come suo modello di consumo di energia elettrica. Inoltre è richiesta un'analisi sulle competenze e proprietà che ogni dispositivo possiede, caratterizzandoli come agenti cognitivi e reattivi, in grado di comunicare la propria richiesta e di rispondere alle esigenze degli utenti. Tale comunicazione è realizzata per mezzo di una lavagna condivisa di informazioni e un web service in grado di condividere e controllare il comportamento dei singoli dispositivi domotici per soddisfare il desiderio dell’ utente.
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Bliek, Christian. "Computer methods for design automation." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/35361.

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Traustadóttir, Sólrún. "System Configuration in Design Automation." Thesis, KTH, Industriell produktion, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254442.

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Some companies have managed to gain an advantage in today’s increasingly competitive market by utilizing product configuration software. However, many companies in the industrial manufacturing industry offer systems of configurable products and wish to be able to configure the products both individually and together as a system. The project described in this thesis was carried out at Tacton Systems, a provider of sales and product configuration software. This project aims to contribute to the literature knowledge on system configuration by researching, through literature study and interviews, what types of systems companies want to be able to configure, and what relationships or interfaces are needed between the configurable modules forming the system. The result was that it is possible to look at each system in levels of abstraction. When looking at whole systems, the system structures can be split into two types, i.e., linear systems and central systems. Parameters need to be communicated between the modules in the system. The module interfaces defined in the Tactonmodel could carry enough information to establish the necessary relationships between the modules and thus make different parameter types irrelevant. Furthermore, this project investigates different aspects of how Computer AidedDesign (CAD) models for system configuration in Solid Works need to be structured to work in a robust way for design automation. Different functions were tried on a relatively simple model as a proof of concept. The main result is that the most robust way to do the mates between the configurable components is to assign them to reference geometry that is built into templates. This project focused on investigating the possibility for system configuration in the design automation environment, but it is necessary for Tacton to look at the future development in a holistic view.
Vissa företag har lyckats skapa en fördel i dagens alltmer konkurrensutsatta marknad genom att använda produktkonfigurationsprogram. Många företag inom industrin tillverkar dock hela system med konfigurbara produkter och vill därför kunna konfigurera produkterna både individuellt och tillsammans som ett system. Projektet som beskrivs i denna avhandling utfördes hos Tacton Systems, en leverantör av försäljnings- och produktkonfigurationsprogram. Avhandlingen syftar till att bidra till litteraturkunskapen om systemkonfiguration genom att undersöka vilka typer av system företag vill kunna konfigurera, och vilka relationer eller gränssnitt som behövs mellan de konfigurbara modulerna som bildar systemet. För att åstadkomma detta genomfördes en studie av litteratur och intervjuer. Resultatet var att det är möjligt att titta på varje system i abstraktionsnivåer. När man tittar på hela system kan systemstrukturerna delas upp i två typer; linjära system och centrala system. Parametrar måste kommuniceras mellan modulerna i systemet. Modulgränssnittet som definieras i Tacton-modellenkan bära tillräckligt information för att upprätta nödvändiga relationer mellan modulerna och därigenom göra olika parametertyper irrelevanta. Dessutom undersökte jag i denna avhandling olika aspekter på hur CAD-modeller för systemkonfiguration i SolidWorks behöver struktureras för att fungera på ett robust sätt för designautomatisering. Olika metoder prövades på en relativt enkel modell som ett bevis på konceptet. Huvudresultatet är att det mest robusta sättet att göra relationer mellan de konfigurbara komponenterna är använda referensgeometri som är inbyggd i mallar. Projektet fokuserade på att undersöka möjligheten för systemkonfiguration iDesign Automation-miljön, men det är nödvändigt för Tacton att se på framtidautveckling i en helhetssyn.
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Das, Sabyasachi. "Design automation techniques for datapath circuits." Connect to online resource, 2007. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3284473.

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Pettersson, Karl. "Design Automation of Complex Hydromechanical Transmissions." Licentiate thesis, Linköpings universitet, Fluida och mekatroniska system, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-99382.

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This thesis proposes an automated methodology for the design of complex multiple-mode hydromechanical transmissions. High fuel prices and strict emission regulations are today drivers of the development of new fuel-efficient drive transmissions for construction machinery. Hydromechanical transmissions have high energy efficiency and a wide torque/speed conversion range. They are today strong candidates to replace the fuel-thirsty torque converters conventionally used in heavy construction machines. The trend towards more complex transmission architectures increases the need for more sophisticated product development methods. Complex multiple-mode transmissions are difficult to design and prototype and can be realised in a great number of different architectures. This increases the need for reliable concept evaluation in early design stages. The design of the transmission is also strongly coupled to its energy consumption and for a fair comparison  between transmission concepts optimal designs are necessary. Design automation and optimisation with detailed simulation models can support the industrial engineer in the design task and increase the available knowledge early in the design process. The proposed methodology uses simulation-based optimisation to design the transmission for a specific vehicle application. Various aspects of the transmission’s characteristics may be targeted, although energy efficiency is in great focus in this work. To evaluate the energy efficiency, the transmission designs are simulated using backward-facing simulations with detailed power loss models. The methodology is applicable for designing the drive transmissions of construction machines and other mobile working vehicles such as agricultural machines, forest machines and mobile mining equipment.
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Wee, K. K. "A knowledge-based design environment for analogue design automation." Thesis, University of Essex, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241239.

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Daley, John. "Autonomic product development process automation /." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd1958.pdf.

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Wheeler, Paul H. (Paul Harrison). "Aspects of automation mode confusion." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/42375.

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Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2007.
Includes bibliographical references (p. 101-108).
Complex systems such as commercial aircraft are difficult for operators to manage. Designers, intending to simplify the interface between the operator and the system, have introduced automation to assist the operator. In most cases, the automation has helped the operator, but at times operator confusion as to what the automation is doing has created dangerous situations that lead to property damage or loss of life. This problem, known as mode confusion, has been difficult to analyze and thus solutions tend to be reactive instead of proactive. This thesis examines mode confusion as an emergent property of the operator and the automation. It develops models of the automation and the operator and then studies their emergent behavior. It then applies the model in a case study.
by Paul H. Wheeler.
S.M.
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Tellsén, Emil. "Design Automation of Steam Turbine Diaphragms in NX : Research and implementation of design automation in a development process." Thesis, Linköpings universitet, Maskinkonstruktion, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176362.

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Siemens Energy develops, manufactures, and provides service of products utilized for production of green energy. This thesis has been conducted at Siemens Energy in Finspång and the department of steam turbine design. A major part of the work at the department includes service and updates of operating steam turbines located all around the world. The tasks of updating and service are short and require quick answers as the plant is waiting to be started. In order to adapt to the rapid development time required, the department of steam turbine design has developed a CAD automation process for drawing production of steam turbine diaphragms. The automation process is developed in an older CAD system that the department long have relied on. This CAD software and thus the automation process will soon be retired and taken out of service since the company is switching to the modern CAD software NX. This thesis is aimed at investigating the current development process at the department and propose and develop a new CAD automation process in NX for steam turbine diaphragms. The work was initiated by performing an analysis of the current situation where the collection of data constituted a solid ground for the rest of the thesis. The data lay the basis for the creation of a design specification which later served as a starting point for both the search and development of solution proposals regarding CAD automation. During the concept generation, it became clear that the development process embodied the scope of concepts, a form of application programming interface to achieve design automation was considered evident. This implied a more area-focused concept generation leading up to multiple solution concepts. After the generated solutions had been sorted and ranked, the solution to proceed with was based on NX integrated tool Knowledge Fusion to achieve CAD automation in NX. The development of the automation process and associated models utilized theories such as the MOKA methodology, high level cad templates and on explicit reference modeling. Resulting in a CAD automation process with possibilities to deliver both CAD models and technical drawings within a timeframe that reduces development time. It was concluded that the developed CAD automation process and associated models assured quality and reliability of the CAD material produced. Furthermore, the developed solution fit in the existing diaphragm development process and showed potential to significantly reduce the development time of steam turbine diaphragms.
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Özlük, Ali Cemal. "Design Space Exploration for Building Automation Systems." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-130600.

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In the building automation domain, there are gaps among various tasks related to design engineering. As a result created system designs must be adapted to the given requirements on system functionality, which is related to increased costs and engineering effort than planned. For this reason standards are prepared to enable a coordination among these tasks by providing guidelines and unified artifacts for the design. Moreover, a huge variety of prefabricated devices offered from different manufacturers on the market for building automation that realize building automation functions by preprogrammed software components. Current methods for design creation do not consider this variety and design solution is limited to product lines of a few manufacturers and expertise of system integrators. Correspondingly, this results in design solutions of a limited quality. Thus, a great optimization potential of the quality of design solutions and coordination of tasks related to design engineering arises. For given design requirements, the existence of a high number of devices that realize required functions leads to a combinatorial explosion of design alternatives at different price and quality levels. Finding optimal design alternatives is a hard problem to which a new solution method is proposed based on heuristical approaches. By integrating problem specific knowledge into algorithms based on heuristics, a promisingly high optimization performance is achieved. Further, optimization algorithms are conceived to consider a set of flexibly defined quality criteria specified by users and achieve system design solutions of high quality. In order to realize this idea, optimization algorithms are proposed in this thesis based on goal-oriented operations that achieve a balanced convergence and exploration behavior for a search in the design space applied in different strategies. Further, a component model is proposed that enables a seamless integration of design engineering tasks according to the related standards and application of optimization algorithms.
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Books on the topic "Design automation"

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Merker, Renate, and Wolfgang Schwarz, eds. System Design Automation. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-6666-0.

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Baig, Hasan, and Jan Madsen. Genetic Design Automation. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52355-8.

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1944-, Smith Robert J., ed. Handbook of design automation. Englewood Cliffs, N.J: Prentice Hall, 1986.

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Design, Automation Conference (ASME) (26th 2000 Baltimore Maryland). 26th Design Automation Conference. New York: American Society of Mechanical Engineers, 2000.

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Rammig, Franz J., and Flávio R. Wagner, eds. Electronic Design Automation Frameworks. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-0-387-34880-3.

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Balkir, Sina. Analog VSLI design automation. Boca Raton, FL: CRC Press, 2003.

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Bayliss, John. Electronic design automation report. London: Cambridge Market Intelligence, 1994.

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Seon, Park Hyo, ed. Neurocomputing for design automation. Boca Raton, Fla: CRC Press, 1998.

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1959-, Dündar Günhan, and Öğrenci A. Selçuk, eds. Analog VLSI design automation. Boca Raton, Fla: CRC Press, 2003.

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Affordable automation. New York: McGraw-Hill, 1996.

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Book chapters on the topic "Design automation"

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Amerijckx, Christophe, Stephane Guenot, Amine Kerkeni, and Serge Hustin. "Design Automation." In Transaction Level Modeling with SystemC, 241–66. Boston, MA: Springer US, 2005. http://dx.doi.org/10.1007/0-387-26233-4_7.

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Groover, Mikell P. "Automation." In Handbook of Design, Manufacturing and Automation, 1–21. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2007. http://dx.doi.org/10.1002/9780470172452.ch1.

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Koranne, Sandeep. "VLSI Design Automation." In Practical Computing on the Cell Broadband Engine, 381–99. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0308-2_20.

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Bhargava, Cherry, and Gaurav Mani Khanal. "Physical Design Automation." In Advanced VLSI Technology, 71–92. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003337065-3.

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Jantunen, Erkki, Mika Karaila, David Hästbacka, Antti Koistinen, Laurentiu Barna, Esko Juuso, Pablo Puñal Pereira, Stéphane Besseau, and Julien Hoepffner. "8 Application system design - Maintenance." In IoT Automation, 247–80. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2017. http://dx.doi.org/10.1201/9781315367897-9.

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Cheng, Linfu. "Design of a Computer Aided Robot Design System." In Computer-Based Automation, 267–86. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4684-7559-3_13.

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Lewin, D., and D. Protheroe. "System design and design automation." In Design of Logic Systems, 456–507. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4899-6856-2_11.

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Goniwada, Shivakumar R. "Infrastructure Automation." In Cloud Native Architecture and Design, 619–34. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-7226-8_17.

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Baig, Hasan, and Jan Madsen. "Introduction." In Genetic Design Automation, 3–10. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52355-8_1.

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Baig, Hasan, and Jan Madsen. "Fundamentals of Molecular Biology and Genetic Circuits." In Genetic Design Automation, 11–23. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52355-8_2.

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Conference papers on the topic "Design automation"

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Lin, Alan C. "Automatic slider design for molding automation." In 2016 IEEE/SICE International Symposium on System Integration (SII). IEEE, 2016. http://dx.doi.org/10.1109/sii.2016.7843982.

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Lin, Chung-Wei. "From Electronic Design Automation to Automotive Design Automation." In ISPD '19: International Symposium on Physical Design. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3299902.3311061.

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Pollicove, Harvey M. "Automation in Optics Manufacturing." In International Lens Design. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/ild.1990.jwc2.

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Automated systems based on computer integrated manufacturing (CIM) and flexible machining systems (FMS) have been widely implemented by American industry. Competitive pressures and increasing customer quality demands have motivated application of CIM and FMS concepts over a wide range of manufacturing processes in the electronics and machining industries. This paper describes the CIM-based optical manufacturing technology being developed at the Center for Optics Manufacturing. The Center was established through the joint efforts of the American Precision Optics Manufacturers Association (APOMA), several academic institutions and the Department of Defense.
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Cong, Jason. "From design to design automation." In the 2014. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2560519.2568052.

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Myers, Chris J., Nathan Barker, Hiroyuki Kuwahara, Kevin Jones, Curtis Madsen, and Nam-Phuong D. Nguyen. "Genetic design automation." In the 2009 International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1687399.1687531.

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"Design Automation Conference." In Proceedings of the 34th Design Automation Conference. IEEE, 1997. http://dx.doi.org/10.1109/dac.1997.597106.

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Nuzzo, Pierluigi. "From Electronic Design Automation to Cyber-Physical System Design Automation." In ISPD '19: International Symposium on Physical Design. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3299902.3311070.

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Derby, Stephen, and Clay Cooper. "Teaching Modular Automation Concepts." In ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/cie-5505.

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Abstract Teaching a course on Modular Automation Concepts (MAC) for the automation field has been twice accomplished. In order to demonstrate the MAC strategies, the packaging automation industry is reviewed to find new opportunities for production machines. Student teams then designed new machines using MAC techniques. Samples of project results are summarized.
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Anderson, David, K. Blake Perez, Zack Xuereb, Kevin Otto, and Kris Wood. "Design Processes of Design Automation Practitioners." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-85436.

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The use of computers during the design process continues to grow, calling for a better understanding of how experts make use of computer tools to automate and augment their design efforts. In this study, we examine how architects and engineers consider the use of computers and computation in planning a solution to a sample design problem. We find the design automation design process can be modeled with four phases; discovery, evaluation, extrapolation and interpolation. Unlike many design methods, we find the evaluation phase generally preceded the extrapolation phase. In addition, we identify common computational strategies and challenges faced by practitioners. Understanding this information can help advise and provide directions for designers across levels of expertise, to better integrate computers and computation in existing design work, and to direct further efforts in design automation research.
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Bandi, U. R., M. Dasaka, and P. K. Kumar. "Design in reliability for communication designs." In 2006 Design Automation Conference. IEEE, 2006. http://dx.doi.org/10.1109/dac.2006.229192.

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Reports on the topic "Design automation"

1

Caspi, Eylon. Design Automation for Streaming Systems. Fort Belvoir, VA: Defense Technical Information Center, December 2005. http://dx.doi.org/10.21236/ada603902.

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McGraw, Kirk D., and Linda K. Lawrie. Energy-Efficient Buildings Through Design Automation. Fort Belvoir, VA: Defense Technical Information Center, August 2001. http://dx.doi.org/10.21236/ada396522.

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SILICON INTEGRATION INITIATIVE INC AUSTIN TX. Electronic Design Automation (EDA) Roadmap Taskforce Report, Design of Microprocessors. Fort Belvoir, VA: Defense Technical Information Center, April 1999. http://dx.doi.org/10.21236/ada408348.

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Brglez, Franc. National Benchmark Program in Microelectronic Systems Design Automation. Fort Belvoir, VA: Defense Technical Information Center, December 1997. http://dx.doi.org/10.21236/ada344686.

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Roye, Thorsten. The Right Level of Automation for Industry 4.0. SAE International, May 2022. http://dx.doi.org/10.4271/epr2022013.

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In its entirety, automation is part of an integrated, multi-disciplinary product development process including the design, process, production, logistics, and systems approach—it depends on all these areas, but it also influences them as well. Automation in aerospace manufacturing is present throughout the entire supply chain, from elementary part manufacturing at suppliers up to final assembly, and a clear understanding of all the benefits (and drawbacks) of automation would help designers and engineers select the right designs for and levels of automation. The Right Level of Automation Within Industry 4.0 examines all impacts of automation that should be known by designers, manufacturers, and companies before investments in automation-related decisions are made—regardless of the which industry they work in. The process and the set of criteria discussed in this report will help decision makers select the right level of automation.
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Weber, Andrew, Girish Ghatikar, Dale Sartor, and Steven Lanzisera. Design and Development of an Integrated Workstation Automation Hub. Office of Scientific and Technical Information (OSTI), March 2015. http://dx.doi.org/10.2172/1226461.

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Bambha, Neal, Vida Kianzad, Mukul Khandelia, and Shuvra S. Bhattacharyya. Intermediate Representations for Design Automation of Multiprocessor DSP Systems. Fort Belvoir, VA: Defense Technical Information Center, November 2002. http://dx.doi.org/10.21236/ada456720.

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Benner, Steven A. Design Automation Software for DNA-Based Nano-Sensor Architecture. Fort Belvoir, VA: Defense Technical Information Center, April 2012. http://dx.doi.org/10.21236/ada582334.

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Kao, James Y. Direct digital control based building automation system design criteria. Gaithersburg, MD: National Institute of Standards and Technology, 1991. http://dx.doi.org/10.6028/nist.ir.4604.

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Turowski, M., A. Przekwas, R. Tramel, H. Q. Yang, and H. Ding. Opto-Electronic and Interconnects Hierarchical Design Automation System (OE-IDEAS). Fort Belvoir, VA: Defense Technical Information Center, May 2004. http://dx.doi.org/10.21236/ada423982.

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