Academic literature on the topic 'Multi-mechanism'

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Journal articles on the topic "Multi-mechanism"

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POPOV, I. P. "MULTI–INERT OSCILLATORY MECHANISM." Fundamental and Applied Problems of Engineering and Technology 2 (2020): 19–25. http://dx.doi.org/10.33979/2073-7408-2020-340-2-19-25.

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A mechanical oscillatory system with homogeneous elements, namely, with n massive loads (multi– inert oscillator), is considered. The possibility of the appearance of free harmonic oscillations of loads in such a system is shown. Unlike the classical spring pendulum, the oscillations of which are due to the mutual conversion of the kinetic energy of the load into the potential energy of the spring, in a multi–inert oscillator, the oscillations are due to the mutual conversion of only the kinetic energies of the goods. In this case, the acceleration of some loads occurs due to the braking of others. A feature of the multi–inert oscillator is that its free oscillation frequency is not fixed and is determined mainly by the initial conditions. This feature can be very useful for technical applications, for example, for self–neutralization of mechanical reactive (inertial) power in oscillatory systems.
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V, Amrutha Mohanan K., Hema E. K, and Monisree S. Audline Beena S. P. "Raspberry Pibot Manipulated with Skid-Steered Mechanism for Multi-Environment Surveillance." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 1483–91. http://dx.doi.org/10.31142/ijtsrd11240.

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Arata, Jumpei, Yuki Kamura, Susumu Oguri, Ryu Nakadate, Kazuo Kiguchi, and Makoto Hashizume. "Multi-DOF Robotic Forceps for Laparoscopy using in-frame spring mechanism." Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2015.6 (2015): 62–63. http://dx.doi.org/10.1299/jsmeicam.2015.6.62.

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LI Xiao-feng, 李晓峰, 刘如彪 LIU Ru-biao, and 赵学锋 ZHAO Xue-feng. "Photoemission Mechanism of Multi-alkali Cathode." ACTA PHOTONICA SINICA 40, no. 9 (2011): 1438–41. http://dx.doi.org/10.3788/gzxb20114009.1438.

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Jeridi, M., H. Chouchene, V. Keryvin, and K. Saï. "Multi-mechanism modeling of amorphous polymers." Mechanics Research Communications 56 (March 2014): 136–42. http://dx.doi.org/10.1016/j.mechrescom.2014.01.003.

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Gendler, Alexander, Avi Mendelson, and Yitzhak Birk. "A PAB-Based Multi-Prefetcher Mechanism." International Journal of Parallel Programming 34, no. 2 (April 2006): 171–88. http://dx.doi.org/10.1007/s10766-006-0006-1.

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Xiao, Yingchun. "A multi-mechanism damage coupling model." International Journal of Fatigue 26, no. 11 (November 2004): 1241–50. http://dx.doi.org/10.1016/j.ijfatigue.2004.02.004.

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Wu, Danyang, Zhanxuan Hu, Feiping Nie, Rong Wang, Hui Yang, and Xuelong Li. "Multi-view clustering with interactive mechanism." Neurocomputing 449 (August 2021): 378–88. http://dx.doi.org/10.1016/j.neucom.2021.03.065.

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Nagamani, Tadisetty, and SD Nagul Meera Sayyed. "Adaptive Conflict Resolution Mechanism for Multi-party Privacy Conflicts Resolving in Social Media." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 1179–85. http://dx.doi.org/10.31142/ijtsrd11367.

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Kaminoh, Yoshiroh, Hiroshi Kamaya, Chikara Tashiro, and Issaku Ueda. "Multi-Unit and Multi-Path System (MUMPS) of Anesthesia Mechanism." Anesthesiology 96, Sup 2 (September 2002): A736. http://dx.doi.org/10.1097/00000542-200209002-00736.

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Dissertations / Theses on the topic "Multi-mechanism"

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Schneider, E. "Mechanism selection for multi-robot task allocation." Thesis, University of Liverpool, 2018. http://livrepository.liverpool.ac.uk/3018369/.

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There is increasing interest in fielding multi-robot teams for applications such as search and rescue, warehouse automation, and delivery of consumer goods. Task allocation is an important problem to solve in such multi-robot settings. Given a mission that can be decomposed into discrete tasks, the Multi-Robot Task Allocation (MRTA) problem looks for an assignment of tasks to robots that ultimately results in efficient execution of the mission. There is a range of approaches to this optimisation problem, from centralised solvers to fully distributed methods that involve no explicit coordination between team members. Somewhere in the middle of this range lie market-based approaches, where tasks can be treated as goods, robots as "buyers" who can compute and express their own preferences for tasks in a virtual marketplace, and some clearing mechanism exists to match tasks to robots according to these preferences. The most common type of market-based mechanism for multi-robot task allocation is an auction, in which tasks are announced to the team, robots compute and place bids that encode some measure of cost or utility of performing the tasks, and tasks are awarded to robots over a number of rounds, according to the particular rules of the mechanism. Many different auction mechanisms exist, and they vary in the trade-offs that they make between computation time and space on the one hand, and performance of the execution of the mission on the other. In addition, the performance that results from a mechanism's allocation can be greatly affected by properties of task environments---the spatial and temporal arrangements of tasks, as well as other properties like precedence constraints, whether tasks require the simultaneous cooperation of multiple robots, and so on---in which it is employed. A simple mechanism that is inexpensive to compute and scales well may perform well in some environments, but not in others. The work presented in this thesis focuses on this relationship between auction-based task allocation mechanisms and properties of task environments, with the goal of developing a method of selecting, from a portfolio, a mechanism that is appropriate for a given task environment. The first part of this work is an empirical performance evaluation of a range of mechanisms employed in a series of environments of increasing complexity. The second part of this work uses results from this evaluation to develop and train a data-driven method of mechanism selection using properties of environments that can be measured at the start of a mission. The results show that, under certain conditions, this method of mechanism selection can lead to significant performance improvements compared to using a single mechanism alone.
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Karande, Chinmay. "Algorithms and mechanism design for multi-agent systems." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37229.

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A scenario where multiple entities interact with a common environment to achieve individual and common goals either co-operatively or competitively can be classified as a Multi-Agent System. In this thesis, we concentrate on the situations where the agents exhibit selfish, competitive and strategic behaviour, giving rise to interesting game theoretic and optimization problems. From a computational point of view, the presence of multiple agents introduces strategic and temporal issues, apart from enhancing the difficulty of optimization. We study the following natural mathematical models of such multi-agent problems faced in practice: a) combinatorial optimization problems with multi-agent submodular cost functions, b) combinatorial auctions with partially public valuations and c) online vertex-weighted bipartite matching and single bid budgeted allocations. We provide approximation algorithms, online algorithms and hardness of approximation results for these problems.
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Edinger, Sarah T. (Sarah Tracy). "Mechanism design of a multi-motion automobile door." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/43134.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008.
Includes bibliographical references (p. 70).
This thesis describes the design and prototype construction of a multi-motion automobile door. This design is intended to provide a unique option for the opening of an automobile by enabling the door to open in two separate directions. A novel design of the door hinge will be presented in this paper which will allow the vehicle door to open in both the standard fashion by being hinged at the front of the vehicle, as well as backwards by being hinged at the rear of the vehicle. The direction in which the door opens can be chosen by the user. A small section of this paper will look at one additional multi-motion door concept. This second design is a split door in which half of the door opens in the standard fashion, while the second half opens up like a gull-wing door.
by Sarah T. Edinger.
S.M.
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Lin, Kevin S. M. Massachusetts Institute of Technology. "Multi-axis compliant mechanism-based nanopositioner for multi-mode mechanical testing of carbon nanotubes." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35667.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2006.
Includes bibliographical references (p. 116-118).
This thesis documents the design of a multi-axis nanopositioner that addresses a need for carbon nanotube (CNT) instrumentation that is capable of multiple modes of mechanical testing. This nanopositioner is a solution to the need to quantify the mechanical properties of CNTs with the appropriate modes of testing, such as simultaneous bending and tensile loading. This information is important as it is required to test and better understand the properties of CNTs before and after they are used in micro/nano-structures. The multi-axis nanopositioner will be integrated as one of the core components in a new CNT instrument that is presented in this thesis. The nanopositioner is a compliant mechanism-based device designed that is to induce precise nanometer-level deformations in CNTs within a scanning electron microscope (SEM). The design presented in this thesis is a 4-axis prototype of a 6-axis version. The 4-axis nanopositioner was able to demonstrate over one micron range of motion in multiple axes with 10 nm resolution and repeatability. The nanopositioner was specifically designed to fit inside an SEM like an ordinary sample.
by Kevin Lin.
S.M.
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Mobus, George E. (George Edward). "A Multi-Time Scale Learning Mechanism for Neuromimic Processing." Thesis, University of North Texas, 1994. https://digital.library.unt.edu/ark:/67531/metadc278467/.

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Learning and representing and reasoning about temporal relations, particularly causal relations, is a deep problem in artificial intelligence (AI). Learning such representations in the real world is complicated by the fact that phenomena are subject to multiple time scale influences and may operate with a strange attractor dynamic. This dissertation proposes a new computational learning mechanism, the adaptrode, which, used in a neuromimic processing architecture may help to solve some of these problems. The adaptrode is shown to emulate the dynamics of real biological synapses and represents a significant departure from the classical weighted input scheme of conventional artificial neural networks. Indeed the adaptrode is shown, by analysis of the deep structure of real synapses, to have a strong structural correspondence with the latter in terms of multi-time scale biophysical processes. Simulations of an adaptrode-based neuron and a small network of neurons are shown to have the same learning capabilities as invertebrate animals in classical conditioning. Classical conditioning is considered a fundamental learning task in animals. Furthermore, it is subject to temporal ordering constraints that fulfill the criteria of causal relations in natural systems. It may offer clues to the learning of causal relations and mechanisms for causal reasoning. The adaptrode is shown to solve an advanced problem in classical conditioning that addresses the problem of real world dynamics. A network is able to learn multiple, contrary associations that separate in time domains, that is a long-term memory can co-exist with a short-term contrary memory without destroying the former. This solves the problem of how to deal with meaningful transients while maintaining long-term memories. Possible applications of adaptrode-based neural networks are explored and suggestions for future research are made.
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Gwan, Jean-Fang. "The molecular mechanism of multi-ion conduction in K+ channels." [S.l.] : [s.n.], 2007. http://deposit.ddb.de/cgi-bin/dokserv?idn=983151253.

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Grimm, Veronika [Verfasser]. "Three Essays on Mechanism Design and Multi-Object Auctions / Veronika Grimm." Aachen : Shaker, 2003. http://d-nb.info/1179032837/34.

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AUGUSTO, FERNANDA DURAN DE MOURA. "A GOVERNANCE MECHANISM FOR OPEN MULTI-AGENT SYSTEMS BASED ON TESTIMONIES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2007. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=10392@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
Governança trata heterogeneidade, autonomia e diversidade de interesses entre diferentes agentes em um sistema multi-agente (SMA), estabelecendo um conjunto de normas. A maioria dos mecanismos de aplicação de leis verifica a violação de normas apenas sob o aspecto da interação entre os agentes. Entretanto, em SMAs com a presença de agentes heterogêneos e independentemente projetados, existirão mensagens confidenciais, que só serão percebidas por seus remetentes e destinatários, e execução de ações que só serão observáveis pelos agentes que as executam ou por agentes que sofrem as conseqüências da execução dessas ações. Este trabalho apresenta uma abordagem que implementa um mecanismo de governança em SMA baseado em testemunhos. Agentes podem testemunhar fatos que estão relacionados à violação de normas as quais eles têm conhecimento. Este mecanismo é composto por três sub-sistemas: Reputação, julgamento e sanção. O foco deste trabalho está apenas no sub-sistema de julgamento, responsável por receber os testemunhos e prover decisões apontando se o agente realmente violou uma norma. Será mostrada a arquitetura deste sub-sistema e um processo de julgamento genérico. Finalmente, será ilustrada a utilização deste mecanismo através de um estudo de caso.
Governance copes with the heterogeneity, autonomy and diversity of interests among different agents in a multi-agent system (MAS) by establishing a set of norms. Most of the governance enforcement mechanisms usually check norm violations from the point of view of interaction protocols. However, in MAS, with the presence of heterogeneous and independently designed agents, there will be private messages, that will only be perceived by their senders and receivers, and execution of actions that will only be observed by the agents that execute them or by the agents that suffers from their consequences. This work presents a governance mechanism for MAS based on testimonies. Agents can witness facts that are related to norm violations witch they are aware of. The proposed mechanism is composed by three sub-systems: Reputation, judgment and sanction. This work focuses only in the judgment sub- system, witch is responsible for receiving testimonies and providing a decision, pointing out if an agent has really violated a norm. The judgment sub-system architecture and a generic judgment process will be presented. Finally, the use of this mechanism will be exemplified by a case study.
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Lv, Duchao. "A Multi-Scale Simulation Approach to Deformation Mechanism Prediction in Superalloys." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1469009668.

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Sun, Yun-hsiang, and 孫韻翔. "Multi-auction Mechanism with Dynamic ID." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/32959707940128905101.

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Books on the topic "Multi-mechanism"

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Cailletaud, Georges, Kacem Saï, and Lakhdar Taleb. Multi-mechanism Modeling of Inelastic Material Behavior. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781118845103.

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Wein, Lawrence M. An inverse-optimization-based auction mechanism to support a multi-attribute RFQ process. [Cambridge, Mass: Alfred P. Sloan School of Management, Massachusetts Institute of Technology], 2001.

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Sudheer, D. A streams-based multiplexing mechanism for multi protocol support in a PC environment. Bangalore: Dept. of Electrical Communication Engineering, Indian Institute of Science, 1992.

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Teka, Gabre-Emanuel. The status of environmental health programmes, their multi-sectorality, and co-ordination mechanism in Ethiopia. [Addis Ababa: s.n., 1993.

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Flexible Multi-Partner Mechanism. FAO, 2020. http://dx.doi.org/10.4060/ca7773en.

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The Flexible Multi-partner Mechanism (FMM). FAO, 2020. http://dx.doi.org/10.4060/ca9589en.

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Cailletaud, Georges, Lakhdar Taleb, and Kacem Sai. Multi-Mechanism Modeling of Inelastic Material Behavior. Wiley & Sons, Incorporated, John, 2017.

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Cailletaud, Georges, Lakhdar Taleb, and Kacem Sai. Multi-Mechanism Modeling of Inelastic Material Behavior. Wiley & Sons, Incorporated, John, 2017.

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Braginsky, O. B., G. M. Tatevosyan, S. V. Sedova, and R. Sh Magomedov. The economic mechanism of development programs: the interaction of economic instruments. CEMI RAS, 2020. http://dx.doi.org/10.33276/978-5-8211-0787-9.

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The preprint presents the economic mechanism of investment programs and analyzes its components: specific indicators for evaluating the investment part of developmental programs are proposed; a specific pricing for products manufactured as a result of the implementation of investment projects; a system of financing developmental programs based on the optimal ratio of budget funds, reinvested profits and credit. The empirical base of the study is made up of materials from the petrochemical complex. In this regard, the world trends in the development of petrochemical chemistry and the situation in the petrochemical complex of Russia are considered. Recommendations are given regarding the development of the petrochemical industry of Russia. A multi-criteria optimization model that implements the presented economic mechanism and is intended to form variants of the structure of the governmental program for industrial and regional (territorial) development is developed. The results of a computer experiment are presented. Variants of a conditional program for the development of the Russian oil and gas chemical complex showing the positive impact of the proposed economic mechanism on the structure and indicators of the program are developed.
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Zeitlin, Vladimir. Resonant Wave Interactions and Resonant Excitation of Wave-guide Modes. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198804338.003.0012.

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The idea of resonant nonlinear interactions of waves, and of resonant wave triads, is first explained using the example of Rossby waves, and then used to highlight a mechanism of excitation of wave-guide modes, by impinging free waves at the oceanic shelf, and at the equator. Physics and mathematics of the mechanism, which is related to the phenomena of parametric resonance and wave modulation, are explained in detail in both cases. The resulting modulation equations, of Ginzburg–Landau or nonlinear Schrodinger type, are obtained by multi-scale asymptotic expansions and elimination of resonances, after the explanation of this technique. The chapter thus makes a link between geophysical fluid dynamics and other branches of nonlinear physics. A variety of nonlinear phenomena including coherent structure formation is displayed. The resonant excitation of wave-guide modes provides an efficient mechanism of energy transfer to the wave guides from the large to the small.
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Book chapters on the topic "Multi-mechanism"

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Devanur, Nikhil, Jason Hartline, Anna Karlin, and Thach Nguyen. "Prior-Independent Multi-parameter Mechanism Design." In Lecture Notes in Computer Science, 122–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25510-6_11.

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Sheikhalishahi, Mehdi, Richard M. Wallace, Lucio Grandinetti, José Luis Vazquez-Poletti, and Francesca Guerriero. "A Multi-capacity Queuing Mechanism in Multi-dimensional Resource Scheduling." In Adaptive Resource Management and Scheduling for Cloud Computing, 9–25. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13464-2_2.

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Gilor, Dvir, Rica Gonen, and Erel Segal-Halevi. "Ascending-Price Mechanism for General Multi-sided Markets." In Multi-Agent Systems, 1–18. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82254-5_1.

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Schneider, Eric, Elizabeth I. Sklar, and Simon Parsons. "Mechanism Selection for Multi-Robot Task Allocation." In Towards Autonomous Robotic Systems, 421–35. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64107-2_33.

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Atri, Swati, and Sanjay Tyagi. "Multi-path Priority Based Route Discovery Mechanism." In Communications in Computer and Information Science, 321–29. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1718-1_27.

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Xu, Ming, and Yi Zhuang. "Multi-agent Coordination Mechanism in Distributed Environment." In Engineering and Deployment of Cooperative Information Systems, 444–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45785-2_35.

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Yamashita, Hiromasa, Kim Daeyoung, Nobuhiko Hata, and Takeyoshi Dohi. "Multi-slider linkage mechanism for endoscopic manipulator." In CARS 2002 Computer Assisted Radiology and Surgery, 1086. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56168-9_242.

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Chu, Hung-Chi, and Xing-Dai Liao. "RPL-Based Adaptive Multi-metric Routing Mechanism." In Lecture Notes in Electrical Engineering, 293–303. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6385-4_28.

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Akiyama, Hidehisa, and Itsuki Noda. "Multi-agent Positioning Mechanism in the Dynamic Environment." In RoboCup 2007: Robot Soccer World Cup XI, 377–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-68847-1_38.

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Mansour, Christopher, and Danai Chasaki. "Multi-layer Security Mechanism for Networked Embedded Devices." In Ubiquitous Computing and Ambient Intelligence, 3–14. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67585-5_1.

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Conference papers on the topic "Multi-mechanism"

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Li, Dong, and Linsheng Deng. "Multi-resolution Mechanism for SVG." In 2009 Asia-Pacific Conference on Information Processing, APCIP. IEEE, 2009. http://dx.doi.org/10.1109/apcip.2009.171.

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Nishi, Kousuke, and Sachiyo Arai. "Modeling multi-objectivization mechanism in multi-agent domain." In 2019 IEEE International Conference on Agents (ICA). IEEE, 2019. http://dx.doi.org/10.1109/agents.2019.8929171.

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Zhu, Shaolong, Du Chen, Meiyi Yang, and Xuening Shang. "Dynamic Multi-path and Multi-protocol Encrypted Communication Mechanism." In 2021 IEEE 13th International Conference on Computer Research and Development (ICCRD). IEEE, 2021. http://dx.doi.org/10.1109/iccrd51685.2021.9386407.

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Zhang, Xin, Lanlan Rui, Jiawen Li, Xuesong Qiu, Shaoyong Guo, and Wei Lin. "Multi-constrained maximally disjoint routing mechanism." In NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2018. http://dx.doi.org/10.1109/noms.2018.8406148.

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Mirkar, Sulalah Qais, and Vijay Thakurdas Raisinghani. "Multi protocol label switching recovery mechanism." In 2014 International Conference on Signal Propagation and Computer Technology (ICSPCT). IEEE, 2014. http://dx.doi.org/10.1109/icspct.2014.6884938.

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KOIKE, H., K. AKAMA, and H. MABUCHI. "MULTI-COMPUTATION MECHANISM FOR SET EXPRESSIONS." In Proceedings of the International Conference. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/9789812810885_0049.

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Udomsawat, Gun, and Surendra M. Gupta. "Multi-kanban mechanism for appliance disassembly." In Optics East 2005, edited by Surendra M. Gupta. SPIE, 2005. http://dx.doi.org/10.1117/12.631026.

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Pei-Sheng Yan and Xian-Jia Wang. "The Mechanism Design of Multi-attribute Auctions." In 2008 International Seminar on Business and Information Management (ISBIM 2008). IEEE, 2008. http://dx.doi.org/10.1109/isbim.2008.195.

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Ko, Eunbi, Delphin Raj K. M, Sun-Ho Yum, Soo-Young Shin, Jung-Il Namgung, and Soo-Hyun Park. "Selection Mechanism for Underwater Multi-Media Communication." In 2019 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2019. http://dx.doi.org/10.1109/ictc46691.2019.8939922.

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Zhu, Han, Li Wang, Pengyuan Zhang, and Yonghong Yan. "Multi-Accent Adaptation Based on Gate Mechanism." In Interspeech 2019. ISCA: ISCA, 2019. http://dx.doi.org/10.21437/interspeech.2019-3155.

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Reports on the topic "Multi-mechanism"

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Chlamtac, Imrich, and Violet R. Syrotiuk. A Generic Control Channel Mechanism for Mobile Multi-hop Networks. Fort Belvoir, VA: Defense Technical Information Center, August 2000. http://dx.doi.org/10.21236/ada384291.

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Bensi, Michelle, Somayeh Mohammadi, Shih-Chieh Kao, and Scott T. DeNeale. Multi-Mechanism Flood Hazard Assessment: Critical Review of Current Practice and Approaches. Office of Scientific and Technical Information (OSTI), July 2020. http://dx.doi.org/10.2172/1637939.

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Bensi, Michelle, Somayeh Mohammadi, Shih-Chieh Kao, and Scott Deneale. Multi-Mechanism Flood Hazard Assessment: Critical Review of Current Practice and Approaches. Office of Scientific and Technical Information (OSTI), July 2020. http://dx.doi.org/10.2172/1649363.

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Parker, L. E. L-ALLIANCE: a mechanism for adaptive action selection in heterogeneous multi-robot teams. Office of Scientific and Technical Information (OSTI), November 1995. http://dx.doi.org/10.2172/211400.

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Ooghe, S., N. Voigt, M. Platnic, T. Haag, and S. Wadhwa. Framework and Requirements for an Access Node Control Mechanism in Broadband Multi-Service Networks. RFC Editor, May 2010. http://dx.doi.org/10.17487/rfc5851.

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Ragalwar, Ketan, William Heard, Brett Williams, Dhanendra Kumar, and Ravi Ranade. On enhancing the mechanical behavior of ultra-high performance concrete through multi-scale fiber reinforcement. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41940.

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Abstract:
Steel fibers are typically used in ultra-high performance concretes (UHPC) to impart flexural ductility and increase fracture toughness. However, the mechanical properties of the steel fibers are underutilized in UHPC, as evidenced by the fact that most of the steel fibers pull out of a UHPC matrix largely undamaged during tensile or flexural tests. This research aims to improve the bond between steel fibers and a UHPC matrix by using steel wool. The underlying mechanism for fiber-matrix bond improvement is the reinforcement of the matrix tunnel, surrounding the steel fibers, by steel wool. Single fiber pullout tests were performed to quantify the effect of steel wool content in UHPC on the fiber-matrix bond. Microscopic observations of pulled-out fibers were used to investigate the fiber-matrix interface. Compared to the control UHPC mixture with no steel wool, significant improvement in the flexural behavior was observed in the UHPC mixtures with steel wool. Thus, the addition of steel wool in steel fiber-reinforced UHPC provides multi-scale reinforcement that leads to significant improvement in fiber-matrix bond and mechanical properties of UHPC.
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