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Journal articles on the topic 'Multi-unit'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 February 2022

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1

McCannon, Bryan C. "Multi-unit pricing." Managerial and Decision Economics 30, no. 2 (March 2009): 135–40. http://dx.doi.org/10.1002/mde.1449.

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2

Umbreit, W. Terry. "Multi-Unit Management." Cornell Hotel and Restaurant Administration Quarterly 30, no. 1 (May 1989): 52–59. http://dx.doi.org/10.1177/001088048903000115.

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3

Lefever, Michael M. "Multi-Unit Management." Cornell Hotel and Restaurant Administration Quarterly 30, no. 1 (May 1989): 60–67. http://dx.doi.org/10.1177/001088048903000116.

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4

Gerstgrasser, Matthias, Paul W. Goldberg, Bart De Keijzer, Philip Lazos, and Alexander Skopalik. "Multi-Unit Bilateral Trade." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 1973–80. http://dx.doi.org/10.1609/aaai.v33i01.33011973.

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We characterise the set of dominant strategy incentive compatible (DSIC), strongly budget balanced (SBB), and ex-post individually rational (IR) mechanisms for the multi-unit bilateral trade setting. In such a setting there is a single buyer and a single seller who holds a finite number k of identical items. The mechanism has to decide how many units of the item are transferred from the seller to the buyer and how much money is transferred from the buyer to the seller. We consider two classes of valuation functions for the buyer and seller: Valuations that are increasing in the number of units in possession, and the more specific class of valuations that are increasing and submodular.Furthermore, we present some approximation results about the performance of certain such mechanisms, in terms of social welfare: For increasing submodular valuation functions, we show the existence of a deterministic 2-approximation mechanism and a randomised e/(1 − e) approximation mechanism, matching the best known bounds for the single-item setting.
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5

Mandelli, D., C. Parisi, A. Alfonsi, D. Maljovec, R. Boring, S. Ewing, S. St Germain, C. Smith, C. Rabiti, and M. Rasmussen. "Multi-unit dynamic PRA." Reliability Engineering & System Safety 185 (May 2019): 303–17. http://dx.doi.org/10.1016/j.ress.2018.12.029.

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6

Dunn, Jonathan. "Multi-unit association measures." International Journal of Corpus Linguistics 23, no. 2 (October 5, 2018): 183–215. http://dx.doi.org/10.1075/ijcl.16098.dun.

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AbstractThis paper formulates and evaluates a series of multi-unit measures of directional association, building on the pairwiseΔPmeasure, that are able to quantify association in sequences of varying length and type of representation. Multi-unit measures face an additional segmentation problem: once the implicit length constraint of pairwise measures is abandoned, association measures must also identify the borders of meaningful sequences. This paper takes a vector-based approach to the segmentation problem by using 18 unique measures to describe different aspects of multi-unit association. An examination of these measures across eight languages shows that they are stable across languages and that each provides a unique rank of associated sequences. Taken together, these measures expand corpus-based approaches to association by generalizing across varying lengths and types of representation.
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7

Ezra, Tomer, Michal Feldman, Tim Roughgarden, and Warut Suksompong. "Pricing Multi-Unit Markets." ACM Transactions on Economics and Computation 7, no. 4 (February 2, 2020): 1–29. http://dx.doi.org/10.1145/3373715.

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8

Lee, F. N., and Q. Feng. "Multi-area unit commitment." IEEE Transactions on Power Systems 7, no. 2 (May 1992): 591–99. http://dx.doi.org/10.1109/59.141764.

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9

Zhang, Zhuoxiu, and Mingzhou Jin. "Iterative Multi-AttRibute Multi-Unit Reverse Auctions." Engineering Economist 52, no. 4 (November 26, 2007): 333–54. http://dx.doi.org/10.1080/00137910701675239.

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10

Dobzinski, S., and N. Nisan. "Mechanisms for Multi-Unit Auctions." Journal of Artificial Intelligence Research 37 (February 18, 2010): 85–98. http://dx.doi.org/10.1613/jair.2950.

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We present an incentive-compatible polynomial-time approximation scheme for multi-unit auctions with general k-minded player valuations. The mechanism fully optimizes over an appropriately chosen sub-range of possible allocations and then uses VCG payments over this sub-range. We show that obtaining a fully polynomial-time incentive-compatible approximation scheme, at least using VCG payments, is NP-hard. For the case of valuations given by black boxes, we give a polynomial-time incentive-compatible 2-approximation mechanism and show that no better is possible, at least using VCG payments.
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11

Shim, Soon-Teak. "Virtual multi-channel speaker unit." Journal of the Acoustical Society of America 126, no. 2 (2009): 931. http://dx.doi.org/10.1121/1.3204339.

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12

Maslov, Gennadiy, Elena Yudina, Nikolai Malashikhin, and Gavriil Samurganov. "Intellectual multi-functional plowing unit." BIO Web of Conferences 27 (2020): 00003. http://dx.doi.org/10.1051/bioconf/20202700003.

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A multi-functional plowing unit, combining the operation of the base fertilizer application in one pass, the moldboard plowing, the additional crumbling and the soil leveling is proposed and its efficiency is substantiated. A distinctive advantage of the new unit is the separate fertilizer application to a required depth in the arable layer in accordance with the requirements of a scientifically based farming system: phosphorus fertilizers are applied with a special plow attachment to the bottom of the ploughed furrow, potash and nitrogen fertilizers are distributed throughout the layer by plow moldboards. Additional crumbling and leveling of the plowed surface are carried out simultaneously with plowing by the attachment consisting of a combination of annular-spur and wedge-shaped discs. A prior-art plow body with rightand left-side plowshares was used in the design, which allows discerning the field board, reducing plowing resistance and increasing productivity of the unit. Technical and economic indicators of the multi-functional unit were calculated and analyzed. The qualitative indicators of plowing were also analyzed in comparison with conventional serial plows. Fulfilling the main objective of increasing productivity and reducing costs, the proposed multi-functional unit does not increase, but rather reduces the dust content in the arable layer compared to disc implements, thus reducing erosion processes.
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13

Gujar, Sujit, and Y. Narahari. "Optimal multi-unit combinatorial auctions." Operational Research 13, no. 1 (June 16, 2011): 27–46. http://dx.doi.org/10.1007/s12351-011-0116-4.

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14

Hailu, Atakelty, and Sophie Thoyer. "Multi-unit auction format design." Journal of Economic Interaction and Coordination 1, no. 2 (October 12, 2006): 129–46. http://dx.doi.org/10.1007/s11403-006-0012-9.

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15

Dobzinski, Shahar, and Noam Nisan. "Multi-unit auctions: Beyond Roberts." Journal of Economic Theory 156 (March 2015): 14–44. http://dx.doi.org/10.1016/j.jet.2014.04.006.

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16

Dant, Rajiv P., Scott K. Weaven, Brent L. Baker, and Hyo Jin Jeon. "An introspective examination of single-unit versus multi-unit franchisees." Journal of the Academy of Marketing Science 41, no. 4 (June 21, 2011): 473–96. http://dx.doi.org/10.1007/s11747-011-0265-2.

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17

Shil, Shubhashis Kumar, and Samira Sadaoui. "Multi-Objective Optimization in Multi-Attribute and Multi-Unit Combinatorial Reverse Auctions." International Journal on Artificial Intelligence Tools 26, no. 05 (October 2017): 1760016. http://dx.doi.org/10.1142/s0218213017600168.

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This study introduces an advanced Combinatorial Reverse Auction (CRA), multi-units, multiattributes and multi-objective, which is subject to buyer and seller trading constraints. Conflicting objectives may occur since the buyer can maximize some attributes and minimize some others. To address the Winner Determination (WD) problem for this type of CRAs, we propose an optimization approach based on genetic algorithms that we integrate with our variants of diversity and elitism strategies to improve the solution quality. Moreover, by maximizing the buyer’s revenue, our approach is able to return the best solution for our complex WD problem. We conduct a case study as well as simulated testing to illustrate the importance of the diversity and elitism schemes. We also validate the proposed WD method through simulated experiments by generating large instances of our CRA problem. The experimental results demonstrate on one hand the performance of our WD method in terms of several quality measures, like solution quality, run-time complexity and trade-off between convergence and diversity, and on the other hand, it’s significant superiority to well-known heuristic and exact WD techniques that have been implemented for much simpler CRAs.
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18

Brânzei, Simina, and Aris Filos-Ratsikas. "Walrasian Dynamics in Multi-Unit Markets." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 1812–19. http://dx.doi.org/10.1609/aaai.v33i01.33011812.

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In a multi-unit market, a seller brings multiple units of a good and tries to sell them to a set of buyers that have monetary endowments. While a Walrasian equilibrium does not always exist in this model, natural relaxations of the concept that retain its desirable fairness properties do exist. We study the dynamics of (Walrasian) envy-free pricing mechanisms in this environment, showing that for any such pricing mechanism, the best response dynamic starting from truth-telling converges to a pure Nash equilibrium with small loss in revenue and welfare. Moreover, we generalize these bounds to capture all the (reasonable) Nash equilibria for a large class of (monotone) pricing mechanisms. We also identify a natural mechanism, which selects the minimum Walrasian envy-free price, in which for n=2 buyers the best response dynamic converges from any starting profile. We conjecture convergence of the mechanism for any number of buyers and provide simulation results to support our conjecture.
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19

Dobzinski, Shahar, Ron Lavi, and Noam Nisan. "Multi-unit auctions with budget limits." Games and Economic Behavior 74, no. 2 (March 2012): 486–503. http://dx.doi.org/10.1016/j.geb.2011.08.003.

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20

Clark, Alan B., and Charles C. Clark. "Sampling of Multi-Unit Drug Exhibits." Journal of Forensic Sciences 35, no. 3 (May 1, 1990): 12877J. http://dx.doi.org/10.1520/jfs12877j.

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21

Miceli, Thomas J., Gerald W. Sazama, and C. F. Sirmans. "Managing Externalities in Multi-Unit Housing." Journal of Policy Modeling 20, no. 5 (October 1998): 649–68. http://dx.doi.org/10.1016/s0161-8938(97)00071-9.

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22

Yu, Han. "Multi-rotations on the unit circle." Journal of Number Theory 200 (July 2019): 316–28. http://dx.doi.org/10.1016/j.jnt.2018.12.008.

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23

Perry, Motty, and Philip J. Reny. "An Efficient Multi-Unit Ascending Auction." Review of Economic Studies 72, no. 2 (April 2005): 567–92. http://dx.doi.org/10.1111/j.1467-937x.2005.00343.x.

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24

McAdams, David. "Monotone Equilibrium in Multi-Unit Auctions." Review of Economic Studies 73, no. 4 (October 2006): 1039–56. http://dx.doi.org/10.1111/j.1467-937x.2006.00407.x.

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25

Ortega, Josué. "Multi-unit assignment under dichotomous preferences." Mathematical Social Sciences 103 (January 2020): 15–24. http://dx.doi.org/10.1016/j.mathsocsci.2019.11.003.

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26

Needles, T., and D. Feathers. "Universal Design in Multi-Unit Housing." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 55, no. 1 (September 1, 2011): 589–93. http://dx.doi.org/10.1177/1071181311551120.

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27

Bogdanova, E., and A. Grinberg. "Multi-unit heat pump and system." International Journal of Energy Research 16, no. 9 (December 1992): 803–10. http://dx.doi.org/10.1002/er.4440160903.

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28

Engelbrecht-Wiggans, Richard, and Charles M. Kahn. "Multi-unit auctions with uniform prices." Economic Theory 12, no. 2 (August 17, 1998): 227–58. http://dx.doi.org/10.1007/s001990050220.

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29

Anderson, Edward, and Pär Holmberg. "Price instability in multi-unit auctions." Journal of Economic Theory 175 (May 2018): 318–41. http://dx.doi.org/10.1016/j.jet.2018.01.008.

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30

Meng, Xin, and Hikmet Gunay. "Exposure problem in multi-unit auctions." International Journal of Industrial Organization 52 (May 2017): 165–87. http://dx.doi.org/10.1016/j.ijindorg.2017.02.005.

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31

Elskamp, Rebecca, and René Kirkegaard. "Scale effects in multi-unit auctions." Games and Economic Behavior 116 (July 2019): 116–21. http://dx.doi.org/10.1016/j.geb.2019.04.009.

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32

Yan, Haomin. "Position auctions with multi-unit demands." Games and Economic Behavior 127 (May 2021): 179–93. http://dx.doi.org/10.1016/j.geb.2021.03.002.

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33

Lili Ding, Wanglin Kang, and Xinmin Liu. "Models for On-line Multi-unit Multi-attribute Reverse Auctions." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 5, no. 2 (January 31, 2013): 482–90. http://dx.doi.org/10.4156/aiss.vol5.issue2.62.

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34

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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35

Goodall, E. V., K. W. Horch, T. G. McNaughton, and C. M. Lybbert. "Analysis of single-unit firing patterns in multi-unit intrafascicular recordings." Medical & Biological Engineering & Computing 31, no. 3 (May 1993): 257–67. http://dx.doi.org/10.1007/bf02458045.

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36

Ogura, Katsunori, Nobuoto Nojima, Hiroyuki Kameda, and Kenta Hibino. "ICONE19-43305 Development of Level 1 Seismic PSA Method for Multi-Unit Site." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2011.19 (2011): _ICONE1943. http://dx.doi.org/10.1299/jsmeicone.2011.19._icone1943_135.

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37

Meng, Fandong, Jinchao Zhang, Yang Liu, and Jie Zhou. "Multi-Zone Unit for Recurrent Neural Networks." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 5150–57. http://dx.doi.org/10.1609/aaai.v34i04.5958.

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Recurrent neural networks (RNNs) have been widely used to deal with sequence learning problems. The input-dependent transition function, which folds new observations into hidden states to sequentially construct fixed-length representations of arbitrary-length sequences, plays a critical role in RNNs. Based on single space composition, transition functions in existing RNNs often have difficulty in capturing complicated long-range dependencies. In this paper, we introduce a new Multi-zone Unit (MZU) for RNNs. The key idea is to design a transition function that is capable of modeling multiple space composition. The MZU consists of three components: zone generation, zone composition, and zone aggregation. Experimental results on multiple datasets of the character-level language modeling task and the aspect-based sentiment analysis task demonstrate the superiority of the MZU.
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38

Nagata, Takeshi, Masumi Ohno, Hiroshi Sasaki, and Hideki Fujita. "A Multi-Agent Approach to Unit Commitment." IEEJ Transactions on Electronics, Information and Systems 121, no. 10 (2001): 1641–46. http://dx.doi.org/10.1541/ieejeiss1987.121.10_1641.

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39

Grisso, Robert “Bobby”, John Cundiff, and Kevin Comer. "Multi-Bale Handling Unit for Efficient Logistics." AgriEngineering 2, no. 2 (June 16, 2020): 336–49. http://dx.doi.org/10.3390/agriengineering2020023.

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This paper presents a design for a feedstock logistics system to supply a bioenergy plant located in the Southeast USA, specifically Piedmont, a physiographic region covering part of five states (VA, NC, SC, GA, and AL). The design uses a perennial grass (switchgrass) as the feedstock. Harvest is done with a round baler, and round bales are stored in single-layer ambient storage in satellite storage locations. New technology, 20-bale racks, was designed as the multi-bale handling unit. The analysis shows how proper design of the interactions between the several unit operations in a “logistics chain” can be used to minimize average delivered cost for the feedstock required for 24/7 operation. Racks are loaded at the satellite storage and delivered by hauling contractors hired by the plant and controlled by a “Feedstock Manager” at the plant to insure approximately the same number of loads are received each day. Single-bale handling at the plant is eliminated, thus the truck unload time is reduced and truck productivity (tons/day) is increased. At-plant handling and storage in 20-bale racks increases plant receiving facility productivity, and gives a reduction in plant cost to supply a continuous steam of material for 24/7 operation.
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40

McKeown, Adele, and Lorcan Sirr. "Service charge collection in multi-unit developments." Administration 66, no. 2 (May 1, 2018): 135–52. http://dx.doi.org/10.2478/admin-2018-0021.

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41

Zouridakis, George, and David C. Tam. "Multi-unit spike discrimination using wavelet transforms." Computers in Biology and Medicine 27, no. 1 (January 1997): 9–18. http://dx.doi.org/10.1016/s0010-4825(96)00038-8.

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42

Larey, Ariel, Eliel Aknin, and Itzik Klein. "Feasibility Study of Multi Inertial Measurement Unit." Proceedings 42, no. 1 (November 14, 2019): 74. http://dx.doi.org/10.3390/ecsa-6-06582.

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An inertial measurement unit (IMU) typically has three accelerometers and three gyroscopes. The output of those inertial sensors is used by an inertial navigation system to calculate the navigation solution–position, velocity and attitude. Since the sensor measurements contain noise, the navigation solution drifts over time. When considering low cost sensors, multiple IMUs can be used to improve the performance of a single unit. In this paper, we describe our designed 32 multi-IMU (MIMU) architecture and present experimental results using this system. To analyze the sensory data, a dedicated software tool, capable of addressing MIMUs inputs, was developed. Using the MIMU hardware and software tool we examined and evaluated the MIMUs for: (1) navigation solution accuracy (2) sensor outlier rejection (3) stationary calibration performance (4) coarse alignment accuracy and (5) the effect of different MIMUs locations in the architecture. Our experimental results show that 32 IMUs obtained better performance than a single IMU for all testcases examined. In addition, we show that performance was improved gradually as the number of IMUs was increased in the architecture.
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43

Kojima, Fuhito. "Efficient resource allocation under multi-unit demand." Games and Economic Behavior 82 (November 2013): 1–14. http://dx.doi.org/10.1016/j.geb.2013.06.005.

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44

Lechner, Christoph, and Markus Kreutzer. "Coordinating Growth Initiatives in Multi-Unit Firms." Long Range Planning 43, no. 1 (February 2010): 6–32. http://dx.doi.org/10.1016/j.lrp.2009.10.002.

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45

Holmberg, Pär. "Pro‐competitive Rationing in Multi‐unit Auctions." Economic Journal 127, no. 605 (October 1, 2017): F372—F395. http://dx.doi.org/10.1111/ecoj.12402.

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46

Samyudia, Yudi, and Kusmayanto Kadiman. "Control design for recycled, multi unit processes." Journal of Process Control 13, no. 4 (June 2003): 311–24. http://dx.doi.org/10.1016/s0959-1524(02)00061-6.

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47

Nathanael Gibbons, Thomas. "Management agreements in multi‐unit housing developments." International Journal of Law in the Built Environment 5, no. 3 (September 27, 2013): 207–21. http://dx.doi.org/10.1108/ijlbe-04-2013-0011.

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48

George, Gibin Chacko, A. Amalin Prince, J. J. U. Buch, and Surya K. Pathak. "Design of configurable multi-mode trigger unit." Measurement 139 (June 2019): 482–89. http://dx.doi.org/10.1016/j.measurement.2019.03.028.

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49

Myer, Ellis P. "A TIME-SHARING MULTI-UNIT COMPUTING SYSTEM." Annals of the New York Academy of Sciences 128, no. 3 (December 16, 2006): 738–45. http://dx.doi.org/10.1111/j.1749-6632.1965.tb11693.x.

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50

YOKONO, Yasuyuki. "Multi-objective Optimization for Power Unit Design." Proceedings of The Computational Mechanics Conference 2004.17 (2004): 249–50. http://dx.doi.org/10.1299/jsmecmd.2004.17.249.

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