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Готові списки джерел за темами / Imperfect Power Control / Статті в журналах

Статті в журналах з теми "Imperfect Power Control"

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Автор: Grafiati

Опубліковано: 6 вересня 2023

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1

Cameron, R., and B. Woerner. "Performance analysis of CDMA with imperfect power control." IEEE Transactions on Communications 44, no. 7 (July 1996): 777–81. http://dx.doi.org/10.1109/26.508295.

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2

Agrawal, A., J. G. Andrews, J. M. Cioffi, and Teresa Meng. "Iterative power control for imperfect successive interference cancellation." IEEE Transactions on Wireless Communications 4, no. 3 (May 2005): 878–84. http://dx.doi.org/10.1109/twc.2005.846996.

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3

El-Dolil, Sami A. "Performance Analysis of CDMA WLL Systems with Imperfect Power Control and Imperfect Sectorization." International Journal of Vehicular Technology 2008 (September 30, 2008): 1–8. http://dx.doi.org/10.1155/2008/413821.

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Анотація:

Wireless local loop (WLL) provides reliable, flexible, and economical access to the local telephone service using radio technology in the place of traditional wireline. In this paper, an analytical model is derived to evaluate the effect of both imperfect power control and imperfect sectorization on the performance of code division multiple access (CDMA) WLL systems. The results show that the capacity degradation, due to imperfect power control, is about 25.8% and 11.5% for single cell and multiple cell systems, respectively. Increasing the overlapping angle from to causes the capacity gain to decrease from 6 to 5.53, while the corresponding sectorization efficiency drops from 100% to 92.3%.

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4

Lee, J., R. Tafazolli, and B. G. Evans. "Erlang capacity of OC-CDMA with imperfect power control." Electronics Letters 33, no. 4 (1997): 259. http://dx.doi.org/10.1049/el:19970173.

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5

Gatsis, Nikolaos, and Georgios B. Giannakis. "Power Control With Imperfect Exchanges and Applications to Spectrum Sharing." IEEE Transactions on Signal Processing 59, no. 7 (July 2011): 3410–23. http://dx.doi.org/10.1109/tsp.2011.2143709.

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6

Park, Min Kyu, Seong Keun Oh, and Chaewoo Lee. "Power allocation and call admission control in multi-class traffic DS-CDMA systems with imperfect power control." Wireless Communications and Mobile Computing 7, no. 6 (2007): 741–54. http://dx.doi.org/10.1002/wcm.405.

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7

Tao Shu and Zhisheng Niu. "Uplink capacity optimization by power allocation for multimedia cdma networks with imperfect power control." IEEE Journal on Selected Areas in Communications 21, no. 10 (December 2003): 1585–94. http://dx.doi.org/10.1109/jsac.2003.815016.

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8

Corazza, G. E., G. De Maio, and F. Vatalaro. "CDMA cellular systems performance with fading, shadowing, and imperfect power control." IEEE Transactions on Vehicular Technology 47, no. 2 (May 1998): 450–59. http://dx.doi.org/10.1109/25.669083.

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9

Choe, S., H. M. Kwon, and M. Uysal. "Performance analysis of imperfect closed-loop power control over Rayleigh fading." Electronics Letters 41, no. 19 (2005): 1071. http://dx.doi.org/10.1049/el:20052533.

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10

Boubaker, N., and K. B. Letaief. "Performance Analysis of DS-UWB Multiple Access Under Imperfect Power Control." IEEE Transactions on Communications 52, no. 9 (September 2004): 1459–63. http://dx.doi.org/10.1109/tcomm.2004.833204.

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11

Liu, Zhixin, Xinbin Li, Xinping Guan, Hongjiu Yang, and Peng Zhang. "Robust power control for femtocell networks with imperfect channel state information." IET Communications 10, no. 8 (May 19, 2016): 882–90. http://dx.doi.org/10.1049/iet-com.2015.0501.

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12

Dewangan, Vikas Kumar, and Neelesh B. Mehta. "Capture-Induced, Fast, Distributed, Splitting Based Selection with Imperfect Power Control." IEEE Transactions on Communications 62, no. 1 (January 2014): 74–84. http://dx.doi.org/10.1109/tcomm.2013.112913.130263.

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13

Andrews, J. G., and T. H. Meng. "Optimum power control for successive interference cancellation with imperfect channel estimation." IEEE Transactions on Wireless Communications 2, no. 2 (March 2003): 375–83. http://dx.doi.org/10.1109/twc.2003.809123.

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14

Mohasseb, Yahya, and Hisham Elgamal. "EFFECT OF IMPERFECT POWER CONTROL ON PARALLEL INTERFERENCE CANCELLATION FOR CDMA." International Conference on Aerospace Sciences and Aviation Technology 11, ASAT CONFERENCE (May 1, 2011): 1–11. http://dx.doi.org/10.21608/asat.2011.27184.

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15

Hoefel, R. P. F., and C. de Almeida. "Capacity loss of CDMA/PRMA systems with imperfect power control loop." Electronics Letters 34, no. 10 (1998): 1020. http://dx.doi.org/10.1049/el:19980684.

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16

Jansen, Michel G., and Ramjee Prasad. "Capacity, throughput, and delay analysis of a cellular DS CDMA system with imperfect power control and imperfect sectorization." IEEE Transactions on Vehicular Technology 44, no. 1 (February 1995): 67–75. http://dx.doi.org/10.1109/25.350271.

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17

Chiang, C. T. "Performance analysis of M-ary DS-CDMA systems with imperfect power control." IEE Proceedings - Communications 151, no. 6 (2004): 574. http://dx.doi.org/10.1049/ip-com:20040523.

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18

Lee, Kisong, Jun-Pyo Hong, and Hyun-Ho Choi. "Adaptive Jamming Power Control for Untrusted Relay Networks With Imperfect Channel Reciprocity." IEEE Systems Journal 14, no. 3 (September 2020): 4217–20. http://dx.doi.org/10.1109/jsyst.2019.2937963.

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19

Prasad, R., A. Kegel, and M. G. Jansen. "Effect of imperfect power control on cellular code division multiple access system." Electronics Letters 28, no. 9 (1992): 848. http://dx.doi.org/10.1049/el:19920536.

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20

Jalali, S., and B. H. Khalaj. "Power Control for Multirate DS-CDMA Systems With Imperfect Successive Interference Cancellation." IEEE Transactions on Vehicular Technology 57, no. 1 (January 2008): 600–603. http://dx.doi.org/10.1109/tvt.2007.904536.

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21

Fu, Hongyi, Guoan Bi, and K. Arichandran. "Performance of multibeam CDMA-based LEO satellite systems with imperfect power control." International Journal of Satellite Communications 16, no. 3 (May 1998): 155–67. http://dx.doi.org/10.1002/(sici)1099-1247(199805/06)16:3<155::aid-sat602>3.0.co;2-h.

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22

Kim, Jin Young. "Pseudonoise code tracking loop for a CDMA system with imperfect power control." International Journal of Communication Systems 14, no. 4 (2001): 419–30. http://dx.doi.org/10.1002/dac.482.

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23

Siu, Y. M., K. K. Soo, W. S. Chan, and S. W. Leung. "Admission control for variable spreading gain CDMA cellular system with imperfect power control and shadowing." Wireless Communications and Mobile Computing 7, no. 3 (2007): 355–65. http://dx.doi.org/10.1002/wcm.348.

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24

Zeng, Ming, Wanming Hao, Octavia A. Dobre, Zhiguo Ding, and H. Vincent Poor. "Power Minimization for Multi-Cell Uplink NOMA With Imperfect SIC." IEEE Wireless Communications Letters 9, no. 12 (December 2020): 2030–34. http://dx.doi.org/10.1109/lwc.2020.3011210.

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25

Xu, Chongbin, Xiaojun Yuan, Li Ping, and Xiaokang Lin. "Power Allocation for Linearly Precoded OFDM Systems with Imperfect CSIT." IEEE Wireless Communications Letters 2, no. 3 (June 2013): 315–18. http://dx.doi.org/10.1109/wcl.2013.030613.120874.

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26

Kim, J. Y., and J. H. Lee. "Effect of imperfect power control on acquisition performance in a DS/CDMA system." Electronics Letters 32, no. 14 (1996): 1255. http://dx.doi.org/10.1049/el:19960830.

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27

Andrews, J. G., and T. H. Meng. "Correction to "Optimum power control for successive interference cancellation with imperfect channel estimation"." IEEE Transactions on Wireless Communications 2, no. 3 (May 2003): 601. http://dx.doi.org/10.1109/twc.2003.813366.

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28

Li, Xue Jun, and Peter Han Joo Chong. "Performance Investigation of CDMA/PRMA with Imperfect Power Control in TDD Cellular Systems." Wireless Personal Communications 54, no. 2 (May 8, 2009): 349–60. http://dx.doi.org/10.1007/s11277-009-9729-9.

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29

Yang, Guanglong, Xiao Wang, and Xuezhi Tan. "Power Control for Cognitive Radio Networks under Imperfect CSI Based on Game Theory." International Journal of Control and Automation 7, no. 12 (December 31, 2014): 101–10. http://dx.doi.org/10.14257/ijca.2014.7.12.10.

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30

Shi, Shengchao, Kang An, Guangxia Li, Zhiqiang Li, Hongpeng Zhu, and Gan Zheng. "Optimal Power Control in Cognitive Satellite Terrestrial Networks With Imperfect Channel State Information." IEEE Wireless Communications Letters 7, no. 1 (February 2018): 34–37. http://dx.doi.org/10.1109/lwc.2017.2752160.

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31

Priscoli, F. D., and F. Sestini. "Effects of imperfect power control and user mobility on a CDMA cellular network." IEEE Journal on Selected Areas in Communications 14, no. 9 (1996): 1809–17. http://dx.doi.org/10.1109/49.545703.

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32

Wu, Jung-Shyr, and Bor-Jiunn Hwang. "Forward-link analysis of a two-tier CDMA system with imperfect power control." International Journal of Communication Systems 15, no. 7 (2002): 635–64. http://dx.doi.org/10.1002/dac.556.

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33

Ahmed, M. H., and H. Yanikomeroglu. "SINR threshold lower bound for SINR-based call admission control in CDMA networks with imperfect power control." IEEE Communications Letters 9, no. 4 (April 2005): 331–33. http://dx.doi.org/10.1109/lcomm.2005.1413624.

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34

Chen, Yun, Guoping Zhang, Hongbo Xu, Yinshuan Ren, Xue Chen, and Ruijie Li. "Power Optimization of IRS-Assisted D2D System Based on Imperfect Channel." Journal of Sensors 2022 (March 12, 2022): 1–9. http://dx.doi.org/10.1155/2022/5088734.

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Анотація:

Intelligent reflecting surface (IRS) is a promising technology that can help wireless communications achieve efficient spectrum and energy efficiency. However, because of its weak signal processing ability, it is difficult to get ideal channel state information (CSI). Under the imperfect channel state information hypothesis, we investigate a device-to-device (D2D) offload network. And an IRS is used to help calculate offloading from one set of task-intensive users to another set of idle users. We aim to jointly optimize transmit beamforming and IRS phase shifts to minimize system transmit power while requiring each user’s rate to meet the minimum rate constraint in the presence of channel errors. Unfortunately, the problem presented is nonconvex, and the imperfection of CSI makes it even more difficult to solve. Therefore, we apply the S-Procedure to convert the original problem to two effectively solvable semidefinite programming (SDP) subproblems and then solve them through the convex-concave procedure (CCP) algorithm and the alternate optimization method. Numerical results show the effectiveness of the algorithm and verify that the assistance of the IRS can greatly save the system transmit power.

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35

Zhang, Ting Jian, Mei Juan Chen, and Shi Xiang Shao. "Downlink Congestion Control for TD-SCDMA Trunking System." Applied Mechanics and Materials 130-134 (October 2011): 3247–50. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.3247.

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In TD-SCDMA trunking system, imperfect power control and user mobility are disadvantages for the capacity and performance of the system. In order to meet the requested Quality of Service (QoS) of group users, in this paper, we introduce a congestion control mechanism in downlink for TD-SCDMA trunking system. The mechanism is based on Adaptive Multi-Rate (AMR) mode selection and interrupt connections of users, analyzed in detail and verified by using MATLAB to structure a dynamic system level simulation platform. The simulation results reveal that system performance can be significantly improved.

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36

Yang, Tao, Shao Jun Wang, Yao Kai Liu, Zhan Sheng Zhao, and Gao Zhi Lv. "Problem Analysis and Treatment Based on Condensate Polishing System in 600MW Unit of Power Plant." Advanced Materials Research 805-806 (September 2013): 1198–201. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.1198.

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Various feasible solutions were proposed to solve the problems of debugging condensate polishing system in 600MW unit of Power Plant, such as unsuitable hydraulic test, poor effect of resin regeneration, imperfect program control interlock protection and so on, which ensured safe and steady operation of whole system.

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37

Xu, Chaonong, Mianze Wu, Yongjun Xu, and Yuguang Fang. "Uplink Low-Power Scheduling for Delay-Bounded Industrial Wireless Networks Based on Imperfect Power-Domain NOMA." IEEE Systems Journal 14, no. 2 (June 2020): 2443–54. http://dx.doi.org/10.1109/jsyst.2019.2924483.

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38

Choe, Sangho. "An Analytical Framework for Imperfect DS-CDMA Closed-Loop Power Control over Flat Fading." ETRI Journal 27, no. 6 (December 10, 2005): 810–13. http://dx.doi.org/10.4218/etrij.05.0205.0032.

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39

Li, Chunhui, Shihao Yan, Nan Yang, and Xiangyun Zhou. "Truncated Channel Inversion Power Control to Enable One-Way URLLC With Imperfect Channel Reciprocity." IEEE Transactions on Communications 70, no. 4 (April 2022): 2313–27. http://dx.doi.org/10.1109/tcomm.2022.3151763.

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40

Morrison, John A., and Phil Whiting. "On the Uplink of a Cellular System with Imperfect Power Control and Multiple Services." SIAM Journal on Applied Mathematics 67, no. 6 (January 2007): 1610–32. http://dx.doi.org/10.1137/050648316.

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41

Taha-Ahmed, Bazil, Miguel Calvo-Ramón, and Leandro Haro-Ariet. "WCDMA Uplink Capacity and Interference Statistics of Highways Shaped Microcells with Imperfect Power Control and Finite Transmitted Power." Wireless Personal Communications 43, no. 2 (November 4, 2006): 295–311. http://dx.doi.org/10.1007/s11277-006-9222-7.

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42

Lee, Ye Hoon, and Dong Ho Kim. "The Impact of Imperfect Channel Estimation on Adaptive Power and Rate DS/CDMA Communications." International Journal of Control and Automation 6, no. 5 (October 31, 2013): 421–28. http://dx.doi.org/10.14257/ijca.2013.6.5.37.

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43

Wang, Yiyun, Ling Feng, and Guangfa Fan. "Research on control of new energy vehicles based on intelligent power conversion." Journal of Physics: Conference Series 2247, no. 1 (April 1, 2022): 012001. http://dx.doi.org/10.1088/1742-6596/2247/1/012001.

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Анотація:

Abstract The conventional control method of new energy vehicles has the problem of imperfect driving motor coupling model, which leads to excessive car current. A control method of new energy vehicles based on intelligent electricity conversion is designed. For lithium battery performance parameters, computing power values change, the drive motor coupling model was established based on intelligent power conversion, the direct superposition of two motor torque, extract the new energy vehicles basic range of needs power, optimization of braking energy recycling process, hierarchical control type, the different working conditions, set up new energy auto control mode. Experimental results: The mean current of the new energy vehicle control method in this paper and the other two methods are 32.94A, 42.46 A, 42.96 A respectively, indicating that the new energy vehicle control method in the text is more effective.

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44

Karamad, Ehsan, and Raviraj S. Adve. "On the Stability of Distributed Power Control Algorithms Under Imperfect Estimation of Channel and Interference." IEEE Transactions on Communications 65, no. 12 (December 2017): 5459–69. http://dx.doi.org/10.1109/tcomm.2017.2693367.

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45

Li-Chun Wang and Chih-Wen Chang. "On the performance of multicarrier DS-CDMA with imperfect power control and variable spreading factors." IEEE Journal on Selected Areas in Communications 24, no. 6 (June 2006): 1154–66. http://dx.doi.org/10.1109/jsac.2005.864025.

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46

Feng, Y., and J. Qin. "Uplink analysis for hierarchical CDMA systems with attenuators applied to microcell under imperfect power control." IET Communications 1, no. 2 (2007): 251. http://dx.doi.org/10.1049/iet-com:20050204.

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47

Altabbaa, Mhd Tahssin, Taner Arsan, and Erdal Panayirci. "Subchannel Allocation and Power Control for Uplink Femtocell Radio Networks with Imperfect Channel State Information." Wireless Personal Communications 108, no. 3 (May 11, 2019): 1345–61. http://dx.doi.org/10.1007/s11277-019-06472-1.

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48

Liu, Zhixin, Xiaopin Li, Yazhou Yuan, and Xinping Guan. "Power control of D2D communication based on quality of service assurance under imperfect channel information." Peer-to-Peer Networking and Applications 13, no. 5 (February 8, 2020): 1327–39. http://dx.doi.org/10.1007/s12083-019-00864-7.

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49

LIAO, GWO-LIANG. "AN IMPERFECT PROCESS POLICY WITH PRODUCTION CORRECTION AND REORGANIZATION." International Journal of Reliability, Quality and Safety Engineering 14, no. 02 (April 2007): 157–68. http://dx.doi.org/10.1142/s0218539307002556.

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Анотація:

This study applies imperfect production processes to obtain in-control state by production correction and reorganization. Production processes are classified into two types of state: one is the type I state (out-of-control state) and the other is the type II state (in-control state). The type I state involves adjustment of the production mechanism. Production correction is either imperfect; worsening a production system, or perfect, returning it to "in-control" conditions. After N type I states, the operating system must be reorganized and returned to the beginning condition. At the beginning of the production of the each renewal cycle, the state of the process is not always to be restored to "in-control". The mean loss cost until "in-control" state, is determined. The existence of a unique and finite optimal N for an imperfect process under certain reasonable conditions is shown. A numerical example is presented.

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50

Hernandez Fernandez, Javier, Aymen Omri, and Roberto Di Pietro. "PLC Physical Layer Link Identification with Imperfect Channel State Information." Energies 15, no. 16 (August 21, 2022): 6055. http://dx.doi.org/10.3390/en15166055.

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Анотація:

This paper proposes an accurate physical layer technique to uniquely identify the links of a power line communication network. First, the power line communications (PLC) multipath channel characterization is presented and detailed. Then, a multipath channel delay detection technique is introduced to provide an accurate physical layer identification (PL ID) for the considered PLC links. The accuracy and efficiency are tested by evaluating the successful path detection probability (SPDP) in a simulated scenario under both perfect and imperfect channel state information conditions. The results confirm the advantages of the proposed scheme. Indeed, for a common PLC noise power around 90 dBuV, the provided accuracy reaches ≈90%, while for a noise power below 80 dBuV, the accuracy plateaus at 100%. Overall, the low complexity of the proposed approach and its staggering performance results pave the way for further possible applications in both the PLC and the security domain.

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