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Journal articles on the topic 'Adaptive-QP'

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1

Jun, Hye-Min, Jeong-Hoon Seo, and Yung-Lyul Lee. "Adaptive QP Selection using residual transform coefficients of block." Journal of Broadcast Engineering 14, no. 2 (2009): 219–27. http://dx.doi.org/10.5909/jbe.2009.14.2.219.

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2

Park, Sang-Hyun. "Optimal QP Determination Method for Adaptive Intra Frame Encoding." Journal of the Korea institute of electronic communication sciences 10, no. 9 (2015): 1009–18. http://dx.doi.org/10.13067/jkiecs.2015.10.9.1009.

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3

Djeha, Mohamed, Arnaud Tanguy, and Abderrahmane Kheddar. "Adaptive-Gains Enforcing Constraints in Closed-Loop QP Control." IEEE Robotics and Automation Letters 5, no. 4 (2020): 6504–11. http://dx.doi.org/10.1109/lra.2020.3015180.

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4

He, Chao, Zhidong Xie, and Chang Tian. "An Adaptive QP Adjustment of Multimedia over Heterogeneous Wireless Networks." IOP Conference Series: Materials Science and Engineering 719 (January 8, 2020): 012028. http://dx.doi.org/10.1088/1757-899x/719/1/012028.

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5

Park, Sang-Hyun. "Adaptive Initial QP Determination Algorithm for Low Bit Rate Video Coding." Journal of the Korean Institute of Information and Communication Engineering 14, no. 9 (2010): 1957–64. http://dx.doi.org/10.6109/jkiice.2010.14.9.1957.

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6

Shin, DongHwan, and JungUk Choi. "An Efficient Video Watermark Method with Adaptive Use of Block QP." International Journal on Electrical Engineering and Informatics 8, no. 3 (2016): 612–24. http://dx.doi.org/10.15676/ijeei.2016.8.3.10.

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7

Zhang, Wenjun, Zhuxing Liu, and Qingzhang Chen. "Electronic Differential System Based on Adaptive SMC Combined with QP for 4WID Electric Vehicles." World Electric Vehicle Journal 12, no. 3 (2021): 126. http://dx.doi.org/10.3390/wevj12030126.

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This study investigates an adaptive differential control system for 4WID (4-wheel-independent-drive) electric vehicles. The novel adaptive system will maneuver the independently operating hub motors without the help of any conventional steering mechanism. The control system consists of a hierarchical structure to confront the vehicle stability condition, which includes a novel SMC (sliding mode control) with a fuzzy algorithm parameter modification to achieve the required virtual control signal at the top level, and a quadratic programming-based torque allocation algorithm at the bottom-level
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8

Cheolhong An and T. Q. Nguyen. "Adaptive Lagrange Multiplier Selection Using Classification-Maximization and Its Application to Chroma QP Offset Decision." IEEE Transactions on Circuits and Systems for Video Technology 21, no. 6 (2011): 783–91. http://dx.doi.org/10.1109/tcsvt.2011.2130470.

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9

Adaily, Sameh, Abdelkader Mbarek, and Tarek Garna. "A new multimodel approach by Laguerre filters on sliding window for nonlinear system identification and control." Transactions of the Institute of Measurement and Control 42, no. 12 (2020): 2234–53. http://dx.doi.org/10.1177/0142331220908996.

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This paper proposes an online identification procedure on sliding window with the synthesis of a nonlinear adaptive predictive control for a new nonlinear model resulting in multimodel approach. Such a model is entitled ARX-Laguerre multimodel obtained by expanding the conventional ARX multimodel on independent Laguerre orthonormal bases. It allows a significant parameter number reduction as well as a simple recursive representation compared with the ARX-multimodel. This parametric reduction is provided from an optimal iteratif identification approach of the Laguerre poles presented in Adaily
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10

Zhang, Mengmeng, Jing Zhang, Zhi Liu, and Changzhi An. "An efficient coding algorithm for 360-degree video based on improved adaptive QP Compensation and early CU partition termination." Multimedia Tools and Applications 78, no. 1 (2018): 1081–101. http://dx.doi.org/10.1007/s11042-018-6283-z.

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11

Chen, Yuanhang, Guodong Feng, Shaofang Wu, and Xiaojun Tan. "A New Hybrid Model Predictive Controller Design for Adaptive Cruise of Autonomous Electric Vehicles." Journal of Advanced Transportation 2021 (March 15, 2021): 1–25. http://dx.doi.org/10.1155/2021/6626243.

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Autonomous driving is an appealing research topic for integrating advanced intelligent algorithms to transform automotive industries and human commuting. This paper focuses on a hybrid model predictive controller (MPC) design for an adaptive cruise. The driving modes are divided into following and cruising, and the MPC algorithm based on simplified dual neural network (SDNN) and proportional-integral-derivative (PID) based on single neuron (SN) are applied to the following mode and the cruising mode, respectively. SDNN is used to accelerate the solution of the quadratic programming (QP) proble
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12

Henry, Amelia, Surinder Chopra, David G. Clark, and Jonathan P. Lynch. "Responses to low phosphorus in high and low foliar anthocyanin coleus (Solenostemon scutellarioides) and maize (Zea mays)." Functional Plant Biology 39, no. 3 (2012): 255. http://dx.doi.org/10.1071/fp11256.

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Foliar anthocyanin production is frequently induced by phosphorus deficiency, but the adaptive significance of increased anthocyanin production under P stress, if any, remains unknown. In this study we hypothesised that if anthocyanin expression is an adaptive response to mitigate the stress effects of P deficiency, genotypes with constitutive anthocyanin expression would have greater tolerance to P stress than low anthocyanin-producing genotypes. Four studies were conducted in greenhouse, outdoor chamber and field conditions to compare genetically similar maize and coleus plants with contrast
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13

Fatemimoghadam, Armita, Hamid Toshani, and Mohammad Manthouri. "Control of magnetic levitation system using recurrent neural network-based adaptive optimal backstepping strategy." Transactions of the Institute of Measurement and Control 42, no. 13 (2020): 2382–95. http://dx.doi.org/10.1177/0142331220911821.

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In this paper, a novel approach is proposed for adjusting the position of a magnetic levitation system using projection recurrent neural network-based adaptive backstepping control (PRNN-ABC). The principles of designing magnetic levitation systems have widespread applications in the industry, including in the production of magnetic bearings and in maglev trains. Levitating a ball in space is carried out via the surrounding attracting or repelling magnetic forces. In such systems, the permissible range of the actuator is significant, especially in practical applications. In the proposed scheme
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14

Аbramchik, L. M., I. N. Domanskaya, V. N. Makarov, et al. "Effect of immunity inductors on the structural and functional state of photosynthetic apparatus and oxidative status of cucumber plants (cucumis sativus l.) Infected by Fusarium oxysporum." Proceedings of the National Academy of Sciences of Belarus, Biological Series 64, no. 2 (2019): 135–46. http://dx.doi.org/10.29235/1029-8940-2019-64-2-135-146.

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The effect of inductors of the immune response of β-aminobutyric acid (BABA), β-1.3-glucan (GK), salicylic acid (SA) and their mixture on the structural and functional state of photosynthetic apparatus and the oxidative status of cucumber plants under infection by fungal pathogen Fusarium oxysporum was studied. It was found that the disorganizing effect of the pathogenic fungus Fusarium oxusporum in cucumber plants caused the suppression of the synthesis of photosynthetic pigments and the functional activity of the photosystem 2 in chloroplast membranes, as well as in changing the character of
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15

Silva, Bruno do Nascimento, Stelamaris de Oliveira Paula, Joniele Vieira de Oliveira, et al. "Traditional Varieties of Caupi Submitted to Water Deficit: Physiological and Biochemical Aspects." Journal of Agricultural Science 11, no. 6 (2019): 424. http://dx.doi.org/10.5539/jas.v11n6p424.

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The cowpea (Vigna unguiculata (L.) Walp) it is a leguminous widely cultivated in Northeast of Brazil. In the state of Ceara, its cultivation is performed mainly by family farms who make use of traditional varieties of good adaptation to the growing region. Thus, characterizing traditional varieties with characteristics of adaptation to regions with water shortage is essential for the production of food in the world, especially in semi-arid regions. In this sense, the objective was to evaluate the physiological and biochemical responses in three genotypes of cowpea, being two traditional variet
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16

Liu, Zhi, Ke Yang, Xianya Fu, Mengmeng Zhang, Zhao Wang, and Fuqi Mao. "Adaptive QP offset selection algorithm for virtual reality 360-degree video based on CTU complexity." Multimedia Tools and Applications, September 25, 2020. http://dx.doi.org/10.1007/s11042-020-09922-2.

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17

Jia, Lei, Lin Xiao, Jianhua Dai, Zhaohui Qi, Zhijun Zhang, and Yongsheng Zhang. "Design and Application of an Adaptive Fuzzy Control Strategy to Zeroing Neural Network for Solving Time-Variant QP Problem." IEEE Transactions on Fuzzy Systems, 2020, 1. http://dx.doi.org/10.1109/tfuzz.2020.2981001.

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18

Wahab, Norhaliza, Mohamed Reza Katebi, Mohd Fua’ad Rahmat, and Salinda Bunyamin. "Data–Driven Indirect Adaptive Model Predictive Control." Jurnal Teknologi, March 8, 2012. http://dx.doi.org/10.11113/jt.v54.807.

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Kertas kerja ini membincangkan tentang reka bentuk Pengawal Ramalan Model Suai menggunakan kaedah Pengenalpastian Model Keadaan Ruang Sub–ruang bagi proses enapcemar teraktif. Penggunaan teknik Pengenalpastian Model Keadaan Ruang Sub–ruang di dalam kaedah kawalan tingkat gelangsar suai dibincangkan di mana pengenalpastian sub–ruang dalam talian menggunakan algoritma N4SID di perkenalkan bersama dengan rekabentuk Pengawal ramalan model. Pembangunan N4SID dalam talian di dalam kertas kerja ini menggunakan pengemaskini QR di mana gabungan di antara teknik kemaskini dan kemasbawah membolehkan peng
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19

Baklacioglu, T. "Predicting the fuel flow rate of commercial aircraft via multilayer perceptron, radial basis function and ANFIS artificial neural networks." Aeronautical Journal, October 19, 2020, 1–19. http://dx.doi.org/10.1017/aer.2020.119.

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ABSTRACT A first attempt is made to use recently developed, non-conventional Artificial Neural Network (ANN) models with Multilayer Perceptron (MLP), Radial Basis Function (RBF) and Adaptive Neuro-Fuzzy Interference System (ANFIS) architectures to predict the fuel flow rate of a commercial aircraft using real data obtained from Flight Data Records (FDRs) of the cruise, climb and descent phases. The training of the architectures with a single hidden layer is performed by utilising the Delta-Bar-Delta (DBD), Conjugate Gradient (CG) and Quickprop (QP) algorithms. The optimum network topologies ar
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