Relevant bibliographies by topics / Multi-environment

Academic literature on the topic 'Multi-environment'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Multi-environment"

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Shirvani, Mojtaba, Mostafa Abdollahi, Ali Akbar Dusti, and Iman Baghbani. "Wind parks fluctuations at multi machine environment." International Journal of Academic Research 6, no. 3 (May 30, 2014): 202–7. http://dx.doi.org/10.7813/2075-4124.2014/6-3/a.28.

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Kainz, O., D. Cymbalák, and F. Jakab. "Anthropometric Proportions Estimation Using recCAL in Multi-camera Environment." International Journal of Modeling and Optimization 5, no. 4 (2015): 300–303. http://dx.doi.org/10.7763/ijmo.2015.v5.478.

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Globerson, Shlomo, and Gad Vitner. "Measuring productivity in multi-stage, multi-product environment." International Journal of Productivity and Quality Management 26, no. 3 (2019): 290. http://dx.doi.org/10.1504/ijpqm.2019.098365.

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Globerson, Shlomo, and Gad Vitner. "Measuring productivity in multi-stage, multi-product environment." International Journal of Productivity and Quality Management 26, no. 3 (2019): 290. http://dx.doi.org/10.1504/ijpqm.2019.10019762.

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Osipov, Oleg Ivanovich. "CACHE IN MULTI-CORE ENVIRONMENT." Economy. Business. Computer science, no. 3 (January 1, 2016): 115–24. http://dx.doi.org/10.19075/2500-2074-2016-3-115-124.

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Borisoglebskaya, L. N., A. A. Fedotov, O. V. Pilipenko, S. M. Sergeev, and O. Ja Kravets. "Multi-disciplinary educational information environment." Journal of Physics: Conference Series 1691 (November 2020): 012065. http://dx.doi.org/10.1088/1742-6596/1691/1/012065.

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Ipser, Edward A., David S. Wile, and Dean Jacobs. "A multi-formalism specification environment." ACM SIGSOFT Software Engineering Notes 15, no. 6 (December 1990): 94–106. http://dx.doi.org/10.1145/99278.99287.

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Oklobdzija, Vojin. "Clocking in multi-GHz environment." Facta universitatis - series: Electronics and Energetics 15, no. 1 (2002): 13–31. http://dx.doi.org/10.2298/fuee0201013o.

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An overview of clocking and design of clocked storage elements is presented. Systematic design of ip-op is explained as well as "time borrowing" and absorption of clock uncertainties. We show how should different clocked storage elements be compared against each other. The issues related to power consumption and low-power design are presented.
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Montesinos-López, Osval A., Abelardo Montesinos-López, José Crossa, Fernando H. Toledo, Oscar Pérez-Hernández, Kent M. Eskridge, and Jessica Rutkoski. "A Genomic Bayesian Multi-trait and Multi-environment Model." G3: Genes|Genomes|Genetics 6, no. 9 (June 24, 2016): 2725–44. http://dx.doi.org/10.1534/g3.116.032359.

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Lukić, Ivica, Mirko Köhler, and Erik Kiralj. "Appointment scheduling system in multi doctor/multi services environment." International journal of electrical and computer engineering systems 12, no. 3 (August 27, 2021): 171–76. http://dx.doi.org/10.32985/ijeces.12.3.6.

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Appointment scheduling systems are used by health care providers to manage access to their services. In this paper an algorithm and a web application for automatic appointment scheduling is presented. Both are implemented using the concept of booking appointments for patients for a specific service offered by each doctor. The purpose of the application is to make signing up for a specific service easier for patients and to improve health tourism in Croatia by maximizing doctor’s efficiency and minimize patient waiting time. Medical providers are added to the system, they add the services which they provide, and each service offered has its own duration time. Users register, search for services matching their parameters, and schedule an appointment for the requested service. Available appointments are generated using the presented algorithm, which is the main part of this paper. The algorithm searches the database and returns possible appointments. If patient has more than one appointment, possible appointments time can be before the existing appointment, between two appointments, or at the end of the last appointment. Thus, web application enables the patient to reserve desirable appointment time.
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Dissertations / Theses on the topic "Multi-environment"

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Song, Hyun-Cheol. "Piezoelectric-based Multi-Scale Multi-Environment Energy Harvesting." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/87400.

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Energy harvesting is a technology for generating electrical power from ambient or wasted energy. It has been investigated extensively as a means of powering small electronic devices. The recent proliferation of devices with ultra-low power consumption - devices such as RF transmitters, sensors, and integrated chipsets - has created new opportunities for energy harvesters. There is a variety of ambient energies such as vibration, thermal, solar, stray current, etc. Depending on energy sources, different kinds of energy conversion mechanism should be employed. For energy harvesters to become practical, their energy conversion efficiency must improve. This efficiency depends upon advances in two areas: the system or structural design of the energy harvester, and the properties of the materials employed in energy conversion. This dissertation explores developments in both areas. In the first area, the role of nano-, micro-, and bulk structure of the energy conversion materials were investigated. In the second area, piezoelectric energy harvesters and a magneto-thermoelectric generator are treated from the perspective of system design. In the area of materials development, PbTiO3 (PTO) nanostructures consisting of nanofibers and three-dimensional (3-D) nanostructure arrays were hydrothermally synthesized. The growth mechanism of the PTO nanofibers and 3-D nanostructures were investigated experimentally and theoretically. The PTO nanostructures were composed of oriented PTO crystals with high tetragonality; these arrays could be promising candidates for nanogenerators. Different designs for energy harvesters were explored as a means of improving energy conversion efficiency. Piezoelectric energy harvesters were designed and constructed for applications with a low frequency vibrational energy and for applications with a broadband energy spectrum. A spiral MEMS piezoelectric energy harvester design was fabricated using a silicon MEMS process and demonstrated to extract high power density at ultra-low resonance frequencies and low acceleration conditions. For a broadband energy harvester, a magnetically-coupled array of oscillators was designed and built that broadened the harvester's effective resonance frequency with considerably improved output power. A new design concept for thermal energy harvesting that employs a magneto-thermoelectric generator (MTG) design was proposed. The MTG exploits a thermally-induced second order phase transition in a soft magnetic material near the Curie temperature. The MTG harvested electric power from oscillations of the soft magnet between hot and cold sources. For the MTG design, suitable soft magnetic materials were selected and developed using La0.85Sr0.15MnO3-Ni0.6Cu0.2Zn0.2Fe2O4 magnetic composites. The MTG was fabricated from a PVDF cantilever and a gadolinium (Gd) soft magnetic material. The feasibility of the design for harvesting energy from the waste heat was demonstrated by attaching an MTG array to a computer CPU.
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Urovi, Visara. "MAGE - Multi-Agent Game Environment." Thesis, Royal Holloway, University of London, 2011. http://repository.royalholloway.ac.uk/items/c922a353-3969-3966-625a-79064ab2dcb8/9/.

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We study the use of games as a metaphor for building social interaction in norm-governed multi-agent systems. As part of our research we propose MAGE (Multi-Agent Game Environment) as a logic-based framework that represents complex agent interactions as games. MAGE seeks to (a) reuse existing computational techniques for defining event-based normative system and (b) complement these techniques with a coordination component to support complex interactions. A game in MAGE is defined by a state, a set of normative rules describing the valid moves at different states and a set of effect rules describing how the state evolves as a result of a move taking place. Given a specification of the normative rules, in the implementation of a game, we use game containers as components that mediate the moves of players by checking their compliance with the rules of the game and by maintaining the state of the game. The reuse part of MAGE relates physical actions that happen in an agent environment to valid moves of a game representing the social environment of an application. MAGE allows to model complex interactions from simpler atomic sub-games. In this context, we investigate how coordination patterns can be used to dynamically play more than one game in parallel, change the status of games or choose amongst games. For this purpose, we examine how to define compound games from atomic sub-games. Compound games are build by describing the conditions and the patterns that activate a sub- game and the coordination mechanisms of MAGE ensure that sub-games are activated according to how interactions are specified to evolve at run-time. To illustrate the MAGE approach, we discuss how to use the framework to specify the social interaction in two different scenarios: (i) Open-Packet- World - a simple simulation where agents compete to collect and deliver packets in a grid and (ii) an earth-observation application - where agents represent services, both for clients and providers, and negotiate the provision of these services by combining argumentation and communication protocols. We also use the Open-Packet-World scenario to evaluate the effectiveness of the framework. We show that we can effectively support at run-time a large- scale multi-agent systems regulated by norms. We conclude the dissertation by summarising our contributions and identifying areas for future work.
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Ortega-Garcia, Javier, Julian Fierrez, Fernando Alonso-Fernandez, J. Galbally, M. R. Freire, J. Gonzalez-Rodriguez, C. Garcia-Mateo, et al. "The Multi-Scenario Multi-Environment BioSecure Multimodal Database (BMDB)." Escuela Politecnica Superior, Univ. Autonoma de Madrid, Spain, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-21221.

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Wu, Kuo-Cheng. "A multi-functional collaborative design environment." Thesis, University of Salford, 2012. http://usir.salford.ac.uk/26969/.

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Typical construction projects involving a large number of stakeholders working together require a tremendous amount of collaboration amongst them. In order to reduce the cost and length of the project life cycle undertaken by the design team and to avoid any catastrophic problems at later stages in the life cycle, technologies such as BIM and CAD tools have been adopted to support more efficient design assessment. This research is to explore a human-centric collaborative environment for the construction sector that can allow multi-functional team members to come together to visualise, explore, assess and design optimised building solutions. It resulted in creating a collaboration platform that integrates multi-functional interfaces allowing teams to explore the design from their own perspectives. Within this multi-user environment the concept of private and public spaces were explored in order to enhance design exploration, both individually and as a team. The environment was tested for the utility, likability and usefulness of the collaborative design system taking the design of a bathroom for a disabled client as a case study. The final results suggest that in overall it could potentially enhance the multi-functional collaborative design.
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Azad, Hedayat. "Multi-service, multi-rate and multi-environment hybrid spread spectrum CDMA for mobile communications." Thesis, King's College London (University of London), 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.271427.

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Kazemi, Zanjani Masoumeh. "Multi-Period, Multi-Product Production Planning in an Uncertain Manufacturing Environment." Thesis, Université Laval, 2009. http://www.theses.ulaval.ca/2009/26229/26229.pdf.

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Zanjani, Masoumeh Kazemi. "Multi-period, multi-product production planning in an uncertain manufacturing environment." Doctoral thesis, Université Laval, 2009. http://hdl.handle.net/20.500.11794/20850.

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Les travaux de cette thèse portent sur la planification de la production multi-produits, multi-périodes avec des incertitudes de la qualité de la matière première et de la demande. Un modèle de programmation stochastique à deux étapes avec recours est tout d'abord proposé pour la prise en compte de la non-homogénéité de la matière première, et par conséquent, de l'aspect aléatoire des rendements de processus. Ces derniers sont modélisés sous forme de scénarios décrits par une distribution de probabilité stationnaire. La méthodologie adoptée est basée sur la méthode d'approximation par moyenne d'échantillonnage. L'approche est appliquée pour planifier la production dans une unité de sciage de bois et le modèle stochastique est validé par simulation de Monte Carlo. Les résultats numériques obtenus dans le cas d'une scierie de capacité moyenne montrent la viabilité de notre modèle stochastique, en comparaison au modèle équivalent déterministe. Ensuite, pour répondre aux préoccupations du preneur de décision en matière de robustesse, nous proposons deux modèles d'optimisation robuste utilisant chacun une mesure de variabilité du niveau de service différente. Un cadre de décision est développé pour choisir parmi les deux modèles d'optimisation robuste, en tenant compte du niveau du risque jugé acceptable quand à la variabilité du niveau de service. La supériorité de l'approche d'optimisation robuste, par rapport à la programmation stochastique, est confirmée dans le cas d'une usine de sciage de bois. Finalement, nous proposons un modèle de programmation stochastique qui tient compte à la fois du caractère aléatoire de la demande et du rendement. L'incertitude de la demande est modélisée par un processus stochastique dynamique qui est représenté par un arbre de scénarios. Des scénarios de rendement sont ensuite intégrés dans chaque noeud de l'arbre de scénarios de la demande, constituant ainsi un arbre hybride de scénarios. Nous proposons un modèle de programmation stochastique multi-étapes qui utilise un recours complet pour les scénarios de la demande et un recours simple pour les scénarios du rendement. Ce modèle est également appliqué au cas industriel d'une scierie et les résultats numériques obtenus montrent la supériorité du modèle stochastique multi- étapes, en comparaison avec le modèle équivalent déterministe et le modèle stochastique à deux étapes.
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Zhang, Xiaodong. "Multi-Cloud simulation environment for WebRTC streams." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-219919.

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Real-time streaming is becoming popular nowadays on the internet. WebRTC is a promising web technology that enables media stream transmission between two browsers without other third-party plugins. However, traditional WebRTC applications can only establish peer-to-peer (P2P) communications, which cannot be directly used in one-to-more streaming scenarios such as a multi-party video conference. This thesis project presents a development of a multi-cloud simulation framework to implement software multicast of WebRTC streams to enable oneto-more real-time streaming. The framework can generate a cloud network topology with a simple script, and provides flexible ways to model the network links with parameters such as bandwidth, packet loss, and link latency. By using selective forwarding units (SFUs), a stream publisher only needs to send a single copy of the data to the cloud, the data packets are duplicated and forwarded to multiple subscribers. In addition, three resource allocation algorithms are included in the framework to determine the data center for a task. To evaluate the performance, this framework enables people to monitor the throughputs and running streams on the data centers during the experiments. We develop benchmark applications as substitutes for real WebRTC traffic. These applications can generate UDP stream packets with the same dimension of WebRTC packets and provide the customization of stream parameters. In this report, we present a comparison of the stream performances under different allocation algorithms. Finally, as an outcome of this project, we design an integrated functional test to simulate a real-world scenario. The result shows that the framework is able to work well on complex real cases and simulate most of the multi-cloud networks.
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Foltman, Mary Ann. "AMUSED : a multi-user software environment diagnostic /." Online version of thesis, 1989. http://hdl.handle.net/1850/10495.

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Gogel, Beverley J. "Spatial analysis of multi-environment variety trials /." Title page, contents and abstract only, 1997. http://web4.library.adelaide.edu.au/theses/09PH/09phg613.pdf.

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Books on the topic "Multi-environment"

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Weyns, Danny, Sven A. Brueckner, and Yves Demazeau, eds. Engineering Environment-Mediated Multi-Agent Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85029-8.

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Byrum, Jr., John D., and Olivia Madison, eds. Multi-script, Multilingual, Multi-character Issues for the Online Environment. Berlin, Boston: DE GRUYTER SAUR, 1998. http://dx.doi.org/10.1515/9783110948745.

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Benedek, Csaba. Multi-Level Bayesian Models for Environment Perception. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-83654-2.

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Huang, Mingfeng. High-Rise Buildings under Multi-Hazard Environment. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-1744-5.

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Barrus, Joseph D. Intrusion detection in real-time in a multi-node, multi-host environment. Monterey, Calif: Naval Postgraduate School, 1997.

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London), TUC Environment Symposium (1996. TUC environment symposium: Trade unions and the environment - a multi-stakeholder initiative. London: Trades Union Congress, 1996.

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Ross, Jeanne W. JCPenney: Developing seamless operations in a multi-platform environment. Cambridge, MA: Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology, 1996.

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Zalzala, A. M. S. High performance multi-arm environment: Theoretical aspects and practical implementation. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1994.

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Glaser, Norbert. Conceptual Modelling of Multi-Agent Systems: The CoMoMAS Engineering Environment. Boston, MA: Springer US, 2002.

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Zuidgeest, R. G. Multi-sensor data fusion in a distributed environment - architectural solutions -. Amsterdam: National Aerospace Laboratory, 1992.

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Book chapters on the topic "Multi-environment"

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Fox, P. N., J. Crossa, and I. Romagosa. "Multi-environment testing and genotype × environment interaction." In Statistical Methods for Plant Variety Evaluation, 117–38. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-009-1503-9_8.

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Benedek, Csaba. "Multi-sensorial Environment Perception in Urban Environment." In Communications in Computer and Information Science, 1–24. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-19650-8_1.

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Kitamura, Yoshifumi, Satoshi Sakurai, Tokuo Yamaguchi, Ryo Fukazawa, Yuichi Itoh, and Fumio Kishino. "Multi-modal Interface in Multi-Display Environment for Multi-users." In Human-Computer Interaction. Novel Interaction Methods and Techniques, 66–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02577-8_8.

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Kirby, Stuart, and Scott Keay. "The multi-agency partnership environment." In Improving Intelligence Analysis in Policing, 122–37. Abingdon, Oxon ; New York, NY : Routledge, 2021. | Series: Routledge advances in police practice and knowledge: Routledge, 2021. http://dx.doi.org/10.4324/9781003038047-7.

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Wasinger, Rainer, and Wolfgang Wahlster. "Multi-modal Human–Environment Interaction." In True Visions, 291–306. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-28974-6_15.

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Hindriks, Koen V., Catholijn M. Jonker, and Dmytro Tykhonov. "A Multi-Agent Environment for Negotiation." In Multi-Agent Programming, 333–63. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-89299-3_10.

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Kurihara, Satoshi, Kensuke Fukuda, Toshio Hirotsu, Shigemi Aoyagi, Toshihiro Takada, and Toshiharu Sugawara. "Multi-agent Human-Environment Interaction Framework for the Ubiquitous Environment." In Massively Multi-Agent Systems I, 217–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11512073_16.

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Poggi, Agostino, and Giovanni Adorni. "A multi language environment to develop multi agent applications." In Intelligent Agents III Agent Theories, Architectures, and Languages, 325–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0013595.

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Jabri, Marwan A., Edward A. Tinker, and Laurens Leerink. "MUME — A Multi-Net Multi-Architecture Neural Simulation Environment." In The Kluwer International Series in Engineering and Computer Science, 229–47. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2736-7_12.

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Mellouli, Sehl, Guy W. Mineau, and Daniel Pascot. "Modelling a Multi-agent System Environment." In Engineering Societies in the Agents World III, 227–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-39173-8_17.

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Conference papers on the topic "Multi-environment"

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Povero, Gabriella. "Multi-GNSS environment." In the Second Symposium. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2069216.2069219.

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Sell, Raivo, and Tauno Otto. "Remotely controlled multi robot environment." In 2008 19th EAEEIE Annual Conference. IEEE, 2008. http://dx.doi.org/10.1109/eaeeie.2008.4610152.

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Ipser, Edward A., David S. Wile, and Dean Jacobs. "A multi-formalism specification environment." In the fourth ACM SIGSOFT symposium. New York, New York, USA: ACM Press, 1990. http://dx.doi.org/10.1145/99277.99287.

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Carlson, Lawrence E., and Jacquelyn F. Sullivan. "A Multi-Disciplinary Design Environment." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASME, 2006. http://dx.doi.org/10.1115/detc2006-99148.

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Lutovac, Maja M., Zoran Dimic, Stefan Mitrovic, and Aleksandar Stepanovic. "Reconfigurable multi-robot virtual environment." In 2015 23rd Telecommunications Forum Telfor (TELFOR). IEEE, 2015. http://dx.doi.org/10.1109/telfor.2015.7377623.

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Prószéky, Gábor. "An intelligent multi-dictionary environment." In the 36th annual meeting. Morristown, NJ, USA: Association for Computational Linguistics, 1998. http://dx.doi.org/10.3115/980691.980744.

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Prószéky, Gábor. "An intelligent multi-dictionary environment." In the 17th international conference. Morristown, NJ, USA: Association for Computational Linguistics, 1998. http://dx.doi.org/10.3115/980432.980744.

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Lewis, D. "Multi-service management in a multi-provider environment." In 5th IEE Conference on Telecommunications. IEE, 1995. http://dx.doi.org/10.1049/cp:19950159.

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Ghoman, Satyajit, Ping Chen, Darius Sarhaddi, D. Lee, and Rakesh Kapania. "A Multi-Fidelity Multi-Strategy and Multi-Disciplinary Design Optimization Environment." In 52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2011. http://dx.doi.org/10.2514/6.2011-1833.

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Davaria, S., M. H. Fazel Zarandi, and I. B. Turksen. "Supplier selection in a multi-item/multi-supplier environment." In NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society. IEEE, 2008. http://dx.doi.org/10.1109/nafips.2008.4531232.

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Reports on the topic "Multi-environment"

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Whitebread, Ken, Martin Hofmann, and Lori Pridmore. Multi-Agent Common Operating Environment (MACOE). Fort Belvoir, VA: Defense Technical Information Center, July 2002. http://dx.doi.org/10.21236/ada407683.

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Greer, James K. Operational Art in a Multi-Medium Environment. Fort Belvoir, VA: Defense Technical Information Center, May 1990. http://dx.doi.org/10.21236/ada235126.

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Andre, Charles R., and Margaret S. Salter. Environment for Multi-Media Interactive Instruction (EMMii) Users Manual. Fort Belvoir, VA: Defense Technical Information Center, March 1997. http://dx.doi.org/10.21236/ada328141.

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Arabe, Jose N., Adam Beguelin, Bruce Lowekamp, and Erik Seligman. Dome: Parallel Programming in a Heterogeneous Multi-User Environment. Fort Belvoir, VA: Defense Technical Information Center, April 1995. http://dx.doi.org/10.21236/ada295491.

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Krim, Jacqueline. Multi-functional Extreme Environment Surfaces: Nanotribology for Air and Space. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada547360.

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Macone, Dan. Air Combat Environment Test and Evaluation Facility (ACETEF) Support for Multi-Sensor, Multi-Spectral Sensor Fusion Testing,. Fort Belvoir, VA: Defense Technical Information Center, May 1996. http://dx.doi.org/10.21236/ada309765.

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Selby, Sarah. Climate & environment assessment: Rapid social response multi donor trust fund. Evidence on Demand, December 2012. http://dx.doi.org/10.12774/eod_hd026.dec2012.selby.

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HomChaudhuri, S., and M. Foschiano. Cisco Systems' Private VLANs: Scalable Security in a Multi-Client Environment. RFC Editor, February 2010. http://dx.doi.org/10.17487/rfc5517.

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9

Branscome, Teresa A., and Jock O. Grynovicki. An Investigation of Factors Affecting Multi-Task Performance in an Immersive Environment. Fort Belvoir, VA: Defense Technical Information Center, December 2007. http://dx.doi.org/10.21236/ada489744.

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Ooms, D., B. Sales, W. Livens, A. Acharya, F. Griffoul, and F. Ansari. Overview of IP Multicast in a Multi-Protocol Label Switching (MPLS) Environment. RFC Editor, August 2002. http://dx.doi.org/10.17487/rfc3353.

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