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Journal articles on the topic 'Motion 4 (Electronic resource)'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 February 2022

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1

Afonso, Vladimir, Henrique Maich, Luan Audibert, et al. "Hardware Implementation for the HEVC Fractional Motion Estimation Targeting Real-Time and Low-Energy." Journal of Integrated Circuits and Systems 11, no. 2 (2016): 106–20. http://dx.doi.org/10.29292/jics.v11i2.435.

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This paper presents an energy-aware and high-throughput hardware design for the Fractional Motion Estimation (FME) compliant with the High Efficiency Video Coding (HEVC) standard. An extensive software evaluation was performed to guide the hardware design. The adopted strategy mainly consists in using only the four squareshaped Prediction Unit (PU) sizes rather than using all 24 possible PU sizes in the Motion Estimation (ME). This approach reduces about 59% the total encoding time and, as a penalty, it leads to an increase of only 4% in the bit rate for the same image quality. Together with this simplification, a multiplierless approach, algebraic optimizations and low-power techniques were applied to the hardware design to reduce the hardware-resource usage and the energy consumption, maintaining a high processing rate. The architecture was described in VHDL and the synthesis results for ASIC 45nm Nangate standard cells demonstrate that the developed architecture is able to process Ultra-High Definition (UHD) 2160p videos at 60 frames per second (fps), with the lowest power consumption and the lowest hardware-resource usage among the related works.

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2

Yoon, Seongjun, Hee-Won Jung, Heeyoune Jung, et al. "Development and Validation of 2D-LiDAR-Based Gait Analysis Instrument and Algorithm." Sensors 21, no. 2 (2021): 414. http://dx.doi.org/10.3390/s21020414.

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Acquiring gait parameters from usual walking is important to predict clinical outcomes including life expectancy, risk of fall, and neurocognitive performance in older people. We developed a novel gait analysis tool that is small, less-intrusive and is based on two-dimensional light detection and ranging (2D-LiDAR) technology. Using an object-tracking algorithm, we conducted a validation study of the spatiotemporal tracking of ankle locations of young, healthy participants (n = 4) by comparing our tool and a stereo camera with the motion capture system as a gold standard modality. We also assessed parameters including step length, step width, cadence, and gait speed. The 2D-LiDAR system showed a much better accuracy than that of a stereo camera system, where mean absolute errors were 46.2 ± 17.8 mm and 116.3 ± 69.6 mm, respectively. Gait parameters from the 2D-LiDAR system were in good agreement with those from the motion capture system (r = 0.955 for step length, r = 0.911 for cadence). Simultaneous tracking of multiple targets by the 2D-LiDAR system was also demonstrated. The novel system might be useful in space and resource constrained clinical practice for older adults.

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3

Yoon, Seongjun, Hee-Won Jung, Heeyoune Jung, et al. "Development and Validation of 2D-LiDAR-Based Gait Analysis Instrument and Algorithm." Sensors 21, no. 2 (2021): 414. http://dx.doi.org/10.3390/s21020414.

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Acquiring gait parameters from usual walking is important to predict clinical outcomes including life expectancy, risk of fall, and neurocognitive performance in older people. We developed a novel gait analysis tool that is small, less-intrusive and is based on two-dimensional light detection and ranging (2D-LiDAR) technology. Using an object-tracking algorithm, we conducted a validation study of the spatiotemporal tracking of ankle locations of young, healthy participants (n = 4) by comparing our tool and a stereo camera with the motion capture system as a gold standard modality. We also assessed parameters including step length, step width, cadence, and gait speed. The 2D-LiDAR system showed a much better accuracy than that of a stereo camera system, where mean absolute errors were 46.2 ± 17.8 mm and 116.3 ± 69.6 mm, respectively. Gait parameters from the 2D-LiDAR system were in good agreement with those from the motion capture system (r = 0.955 for step length, r = 0.911 for cadence). Simultaneous tracking of multiple targets by the 2D-LiDAR system was also demonstrated. The novel system might be useful in space and resource constrained clinical practice for older adults.

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4

Yar, Hikmat, Ali Shariq Imran, Zulfiqar Ahmad Khan, Muhammad Sajjad, and Zenun Kastrati. "Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm." Sensors 21, no. 14 (2021): 4932. http://dx.doi.org/10.3390/s21144932.

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Smart home applications are ubiquitous and have gained popularity due to the overwhelming use of Internet of Things (IoT)-based technology. The revolution in technologies has made homes more convenient, efficient, and even more secure. The need for advancement in smart home technology is necessary due to the scarcity of intelligent home applications that cater to several aspects of the home simultaneously, i.e., automation, security, safety, and reducing energy consumption using less bandwidth, computation, and cost. Our research work provides a solution to these problems by deploying a smart home automation system with the applications mentioned above over a resource-constrained Raspberry Pi (RPI) device. The RPI is used as a central controlling unit, which provides a cost-effective platform for interconnecting a variety of devices and various sensors in a home via the Internet. We propose a cost-effective integrated system for smart home based on IoT and Edge-Computing paradigm. The proposed system provides remote and automatic control to home appliances, ensuring security and safety. Additionally, the proposed solution uses the edge-computing paradigm to store sensitive data in a local cloud to preserve the customer’s privacy. Moreover, visual and scalar sensor-generated data are processed and held over edge device (RPI) to reduce bandwidth, computation, and storage cost. In the comparison with state-of-the-art solutions, the proposed system is 5% faster in detecting motion, and 5 ms and 4 ms in switching relay on and off, respectively. It is also 6% more efficient than the existing solutions with respect to energy consumption.

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5

Hirschman, Elizabeth C. "Resource Exchange in the Production and Distribution of a Motion Picture." Empirical Studies of the Arts 8, no. 1 (1990): 31–51. http://dx.doi.org/10.2190/ahpj-p6fc-y9b5-9dty.

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An independently produced motion picture was used as a case study of the resource exchange pattern underlying project-based aesthetic production systems. Several exploratory propositions resulted concerning 1) sources of processual conflict, 2) the nature of resource criticality during the production process, 3) the timing of returns on invested resources, and 4) the commercialization of aesthetic products.

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6

Worrall, S. T., A. H. Sadka, A. M. Kondoz, and P. Sweeney. "Motion adaptive intra refresh for MPEG-4." Electronics Letters 36, no. 23 (2000): 1924. http://dx.doi.org/10.1049/el:20001366.

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7

Bergholz, Peter W., Corien Bakermans, and James M. Tiedje. "Psychrobacter arcticus 273-4 Uses Resource Efficiency and Molecular Motion Adaptations for Subzero Temperature Growth." Journal of Bacteriology 191, no. 7 (2009): 2340–52. http://dx.doi.org/10.1128/jb.01377-08.

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ABSTRACT Permafrost soils are extreme environments that exert low-temperature, desiccation, and starvation stress on bacteria over thousands to millions of years. To understand how Psychrobacter arcticus 273-4 survived for >20,000 years in permafrost, transcriptome analysis was performed during growth at 22°C, 17°C, 0°C, and −6°C using a mixed-effects analysis of variance model. Genes for transcription, translation, energy production, and most biosynthetic pathways were downregulated at low temperatures. Evidence of isozyme exchange was detected over temperature for d-alanyl-d-alanine carboxypeptidases (dac1 and dac2), DEAD-box RNA helicases (csdA and Psyc_0943), and energy-efficient substrate incorporation pathways for ammonium and acetate. Specific functions were compensated by upregulation of genes at low temperature, including genes for the biosynthesis of proline, tryptophan, and methionine. RNases and peptidases were generally upregulated at low temperatures. Changes in energy metabolism, amino acid metabolism, and RNase gene expression were consistent with induction of a resource efficiency response. In contrast to results observed for other psychrophiles and mesophiles, only clpB and hsp33 were upregulated at low temperature, and there was no upregulation of other chaperones and peptidyl-prolyl isomerases. relA, csdA, and dac2 knockout mutants grew more slowly at low temperature, but a dac1 mutant grew more slowly at 17°C. The combined data suggest that the basal biological machinery, including translation, transcription, and energy metabolism, is well adapted to function across the growth range of P. arcticus from −6°C to 22°C, and temperature compensation by gene expression was employed to address specific challenges to low-temperature growth.

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8

Fang, Xianyong, Jiejie Zhu, and Bin Luo. "Image mosaic with relaxed motion." Signal, Image and Video Processing 6, no. 4 (2010): 647–67. http://dx.doi.org/10.1007/s11760-010-0194-4.

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9

Zhang, Peng, Tao Zhuo, Hanqiao Huang, Kangli Chen, Bo Zhang, and Mohan Kankanhalli. "Robust tracking based on H-CNN with low-resource sampling and scaling by frame-wise motion localization." Multimedia Tools and Applications 77, no. 14 (2017): 18781–800. http://dx.doi.org/10.1007/s11042-017-4493-4.

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10

Prasanna, Venkatesan Iyengar, Armin R. Mikler, Ram Dantu, and Kaja Abbas. "Dynamic resource management in QoS controlled networks." Telecommunication Systems 32, no. 1 (2006): 11–30. http://dx.doi.org/10.1007/s11235-006-8200-4.

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11

Yatabe, Y., M. Fujimoto, K. Sodeyama, and H. Komi. "An MPEG2/4 dual CODEC with sharing motion estimation." IEEE Transactions on Consumer Electronics 51, no. 2 (2005): 660–64. http://dx.doi.org/10.1109/tce.2005.1468016.

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12

Donghoon Yu, Sung Kyu Jang, and Jong Beom Ra. "Fast motion estimation for shape coding in MPEG-4." IEEE Transactions on Circuits and Systems for Video Technology 13, no. 4 (2003): 358–63. http://dx.doi.org/10.1109/tcsvt.2003.811430.

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13

Dickmanns, E. D. "4-D dynamic vision for intelligent motion control." Engineering Applications of Artificial Intelligence 4, no. 4 (1991): 301–7. http://dx.doi.org/10.1016/0952-1976(91)90044-7.

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14

Chang, Bo Y., Seokmin Shin, Alicia Palacios, Fernando Martín, and Ignacio R. Sola. "Oscillating molecular dipoles require strongly correlated electronic and nuclear motion." Journal of Physics B: Atomic, Molecular and Optical Physics 48, no. 4 (2015): 043001. http://dx.doi.org/10.1088/0953-4075/48/4/043001.

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15

Beyer, Christian, Vishnu Unnikrishnan, Robert Brüggemann, et al. "Resource management for model learning at entity level." Annals of Telecommunications 75, no. 9-10 (2020): 549–61. http://dx.doi.org/10.1007/s12243-020-00800-4.

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Abstract Many current and future applications plan to provide entity-specific predictions. These range from individualized healthcare applications to user-specific purchase recommendations. In our previous stream-based work on Amazon review data, we could show that error-weighted ensembles that combine entity-centric classifiers, which are only trained on reviews of one particular product (entity), and entity-ignorant classifiers, which are trained on all reviews irrespective of the product, can improve prediction quality. This came at the cost of storing multiple entity-centric models in primary memory, many of which would never be used again as their entities would not receive future instances in the stream. To overcome this drawback and make entity-centric learning viable in these scenarios, we investigated two different methods of reducing the primary memory requirement of our entity-centric approach. Our first method uses the lossy counting algorithm for data streams to identify entities whose instances make up a certain percentage of the total data stream within an error-margin. We then store all models which do not fulfil this requirement in secondary memory, from which they can be retrieved in case future instances belonging to them should arrive later in the stream. The second method replaces entity-centric models with a much more naive model which only stores the past labels and predicts the majority label seen so far. We applied our methods on the previously used Amazon data sets which contained up to 1.4M reviews and added two subsets of the Yelp data set which contain up to 4.2M reviews. Both methods were successful in reducing the primary memory requirements while still outperforming an entity-ignorant model.

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16

Tiersch, Markus, Fernando de Melo, Thomas Konrad, and Andreas Buchleitner. "Equation of motion for entanglement." Quantum Information Processing 8, no. 6 (2009): 523–34. http://dx.doi.org/10.1007/s11128-009-0139-4.

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17

Glod, Lukáš, Gabriela Vasziová, Jana Tóthová, and Vladimír Lisý. "Field-Driven Brownian Motion of Magnetic Domain Walls." Journal of Electrical Engineering 61, no. 5 (2010): 282–86. http://dx.doi.org/10.2478/v10187-010-0041-4.

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Field-Driven Brownian Motion of Magnetic Domain WallsThe dynamics of a magnetic domain wall (DW) in a wire is studied. The DW is modeled as a Brownian particle subjected to thermal fluctuations and is characterized by the mass, position and velocity. Its motion is damped by friction, pinned by the irregularities in the material and driven by a constant force due to the external magnetic field. We have obtained the corresponding Langevin equation that contains a white-noise force. The use of an effective method taken from the statistical physics allowed us to convert this stochastic equation into an ordinary differential equation. From its solution the mean square displacement of the DW with other relevant time correlation functions and their spectral densities have been found. The electric current induced by the moving DW is also calculated.

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18

Weihan Yang. "An efficient motion estimation method for MPEG-4 video encoder." IEEE Transactions on Consumer Electronics 49, no. 2 (2003): 441–46. http://dx.doi.org/10.1109/tce.2003.1209538.

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19

Chasteen, Joseph E., Gretchen Murphy, Arden Forrey, and David Heid. "The Health Insurance Portability & Accountability Act and the Practice of Dentistry in the United States: Electronic Transactions." Journal of Contemporary Dental Practice 4, no. 4 (2003): 108–20. http://dx.doi.org/10.5005/jcdp-4-4-108.

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Abstract This article reviews the kinds of electronic transactions required under the Health Insurance Portability & Accountability Act (HIPAA) and relates them to relevant data contained in an electronic oral health record (EOHR). It also outlines the structure of HIPAA transactions using the claim transaction as an example. The relationship of the HIPAA resource management function to those of patient care are discussed. The discussion points out potential future uses of other existing resource management transactions to realize the maximum potential of linking the primary patient care functions to those functions related to managing resources in support of that care. This is needed in all aspects of oral health using the informatics standards activities in which the American Dental Association (ADA) actively participates. The article concludes by providing the dentist a perspective on how to relate these capabilities to his/her individual practice setting. Citation Chasteen JE, Murphy G, Forrey A, et. al. The Health Insurance Portability & Accountability Act and the Practice of Dentistry in the United States: Electronic Transactions. J Contemp Dent Pract 2003 November;(4)4: 108-120.

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20

Wang, Ruchuan, Guangfa Han, and Haiyan Wang. "The strategy of resource management based on grid computing." Journal of Electronics (China) 23, no. 4 (2006): 554–59. http://dx.doi.org/10.1007/s11767-004-0157-4.

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21

Alzoubi, H., and W. D. Pan. "Reducing the complexity of MPEG-4 global motion estimation using pixel subsampling." Electronics Letters 44, no. 1 (2008): 20. http://dx.doi.org/10.1049/el:20082196.

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22

Malo, J., J. Gutierrez, I. Epifanio, and F. J. Ferri. "Perceptually weighted optical flow for motion-based segmentation in MPEG-4 paradigm." Electronics Letters 36, no. 20 (2000): 1693. http://dx.doi.org/10.1049/el:20001222.

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23

Wang, Shuangdie, Jiang Wang, Jing Xu, Yong Teng, and Kari Horneman. "Fairness Guaranteed Cooperative Resource Allocation in Femtocell Networks." Wireless Personal Communications 72, no. 2 (2013): 957–73. http://dx.doi.org/10.1007/s11277-013-1049-4.

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24

Tsai, T. H., and C. P. Chen. "A Fast Binary Motion Estimation Algorithm for MPEG-4 Shape Coding." IEEE Transactions on Circuits and Systems for Video Technology 14, no. 6 (2004): 908–13. http://dx.doi.org/10.1109/tcsvt.2004.828318.

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25

Chen, M. J., G. L. Li, Yi-Yen Chiang, and Ching-Ting Hsu. "Fast multiframe motion estimation algorithms by motion vector composition for the MPEG-4/AVC/H.264 standard." IEEE Transactions on Multimedia 8, no. 3 (2006): 478–87. http://dx.doi.org/10.1109/tmm.2006.870739.

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26

Lu, Qinghua, and Xianmin Zhang. "Multi-image gradient-based algorithms for motion measurement using wavelet transform." Frontiers of Electrical and Electronic Engineering in China 3, no. 2 (2008): 183–87. http://dx.doi.org/10.1007/s11460-008-0032-4.

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27

Gusarova, A. N. "THE USE OF ELECTRONIC EDUCATIONAL RESOURCE IN THE PRACTICE OF ADVANCED TRAINING OF UNIVERSITY TEACHERS." Otkrytoe i distantsionnoe obrazovanie, no. 2(66) (June 1, 2017): 33–36. http://dx.doi.org/10.17223/16095944/66/4.

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28

Talwar, Basavaraj, Pallapa Venkataram, and Lalit M. Patnaik. "A Method for Resource and Service Discovery in MANETs." Wireless Personal Communications 41, no. 2 (2006): 301–23. http://dx.doi.org/10.1007/s11277-006-9144-4.

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29

Ren, Xingrong, Changchun Chai, Zhenyang Ma, et al. "Motion of current filaments in avalanching PIN diodes." Journal of Semiconductors 34, no. 4 (2013): 044004. http://dx.doi.org/10.1088/1674-4926/34/4/044004.

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30

Withers, Rob. "Resource sharing in the digital age: the issue of union listing electronic serials." Library Collections, Acquisitions, and Technical Services 24, no. 2 (2000): 328–31. http://dx.doi.org/10.1016/s1464-9055(00)00118-4.

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31

Miyama, M., J. Miyakoshi, Y. Kuroda, K. Imamura, H. Hashimoto, and M. Yoshimoto. "A sub-mW MPEG-4 motion estimation processor core for mobile video application." IEEE Journal of Solid-State Circuits 39, no. 9 (2004): 1562–70. http://dx.doi.org/10.1109/jssc.2004.831461.

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32

Yu-Lin Chang, Shyh-Feng Lin, Ching-Yeh Chen, and Liang-Gee Chen. "Video de-interlacing by adaptive 4-field global/local motion compensated approach." IEEE Transactions on Circuits and Systems for Video Technology 15, no. 12 (2005): 1569–82. http://dx.doi.org/10.1109/tcsvt.2005.858746.

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33

Jozawa, Hirohisa. "MPEG-4 Standardization Trend: Targeting Multimedia. MPEG-4 Visual Coding. Motion Compensation of the MPEG-4 Natural Video Coding." Journal of the Institute of Image Information and Television Engineers 51, no. 12 (1997): 1976–79. http://dx.doi.org/10.3169/itej.51.1976.

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34

Xie, Long Han, and Ru Xu Du. "Harvesting Human Biomechanical Energy to Power Portable Electronics." Advanced Materials Research 516-517 (May 2012): 1779–84. http://dx.doi.org/10.4028/www.scientific.net/amr.516-517.1779.

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It is known that human body contains rich chemical energy, part of which is converted to mechanical energy up to 200W, especially when human in walking, so human body is an ideal sustainable energy resource for portable electronic devices. The motion pattern of human movement in normal walking is studied, showing that the arm swinging, knee motion and hip motion can be approximated as sinusoidal functions with relatively large amplitude. In order to harvest such human motion, several methods are investigated, including pendulum, translational spring and torsion spring, which can also be mathematically formatted as second order differential equation with damped item. This paper also gives a typical device to harvest human motion: a novel energy harvester which directly converts human motion to electricity based on electromagnetic induction. Detail structures of the harvesting device are illustrated with mathematical analysis. Simulation studies are also made.

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35

Karakaya, Suat, and Hasan Ocak. "A Novel Local Motion Planner: Navibug." Journal of Intelligent & Robotic Systems 100, no. 3-4 (2020): 987–1003. http://dx.doi.org/10.1007/s10846-020-01239-4.

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36

Shah, Nehal N., Harikrishna Singapuri, and Upena D. Dalal. "Hardware Efficient Architecture with Variable Block Size for Motion Estimation." Journal of Electrical and Computer Engineering 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/5091519.

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Video coding standards such as MPEG-x and H.26x incorporate variable block size motion estimation (VBSME) which is highly time consuming and extremely complex from hardware implementation perspective due to huge computation. In this paper, we have discussed basic aspects of video coding and studied and compared existing architectures for VBSME. Various architectures with different pixel scanning pattern give a variety of performance results for motion vector (MV) generation, showing tradeoff between macroblock processed per second and resource requirement for computation. Aim of this paper is to design VBSME architecture which utilizes optimal resources to minimize chip area and offer adequate frame processing rate for real time implementation. Speed of computation can be improved by accessing 16 pixels of base macroblock of size 4 × 4 in single clock cycle using z scanning pattern. Widely adopted cost function for hardware implementation known as sum of absolute differences (SAD) is used for VBSME architecture with multiplexer based absolute difference calculator and partial summation term reduction (PSTR) based multioperand adders. Device utilization of proposed implementation is only 22k gates and it can process 179 HD (1920 × 1080) resolution frames in best case and 47 HD resolution frames in worst case per second. Due to such higher throughput design is well suitable for real time implementation.

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37

Li, Hongxing, Hanwen Luo, Jia Guo, and Chisheng Li. "Dynamic Resource Allocation in OFDMA-Based DF Cooperative Relay Networks." Wireless Personal Communications 62, no. 3 (2010): 655–70. http://dx.doi.org/10.1007/s11277-010-0087-4.

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38

Robbins, W. P., D. L. Polla, T. Tamagawa, D. E. Glumac, and W. Tjhen. "Design of linear-motion microactuators using piezoelectric thin films." Journal of Micromechanics and Microengineering 1, no. 4 (1991): 247–52. http://dx.doi.org/10.1088/0960-1317/1/4/006.

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39

Wang, Jason H., and Frank E. Talke. "Tape edge wear and its relationship to lateral tape motion." Microsystem Technologies 11, no. 8-10 (2005): 1158–65. http://dx.doi.org/10.1007/s00542-005-0498-4.

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40

Chen, Songle, Xuejian Zhao, Bingqing Luo, and Zhixin Sun. "Visual Browse and Exploration in Motion Capture Data with Phylogenetic Tree of Context-Aware Poses." Sensors 20, no. 18 (2020): 5224. http://dx.doi.org/10.3390/s20185224.

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Visual browse and exploration in motion capture data take resource acquisition as a human–computer interaction problem, and it is an essential approach for target motion search. This paper presents a progressive schema which starts from pose browse, then locates the interesting region and then switches to online relevant motion exploration. It mainly addresses three core issues. First, to alleviate the contradiction between the limited visual space and ever-increasing size of real-world database, it applies affinity propagation to numerical similarity measure of pose to perform data abstraction and obtains representative poses of clusters. Second, to construct a meaningful neighborhood for user browsing, it further merges logical similarity measures of pose with the weight quartets and casts the isolated representative poses into a structure of phylogenetic tree. Third, to support online motion exploration including motion ranking and clustering, a biLSTM-based auto-encoder is proposed to encode the high-dimensional pose context into compact latent space. Experimental results on CMU’s motion capture data verify the effectiveness of the proposed method.

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41

Ives, Helen Heitmann. "Emerging patterns of collection development in expanding resource sharing, electronic information and network environment." Journal of Academic Librarianship 24, no. 3 (1998): 249–50. http://dx.doi.org/10.1016/s0099-1333(98)90054-4.

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42

Dolinšek, J., D. Hanžel, R. Blinc, and M. Koren. "13C and proton NMR of molecular motion in [N(CH3)4]2ZnCl4." physica status solidi (a) 95, no. 1 (1986): K53—K56. http://dx.doi.org/10.1002/pssa.2210950157.

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43

Dion, Michèle, Tanguy Risset, and Yves Robert. "Resource-constrained scheduling of partitioned algorithms on processor arrays." Integration 20, no. 2 (1996): 139–59. http://dx.doi.org/10.1016/0167-9260(95)00022-4.

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44

Al-Amaren, Abdullah, M. Omair Ahmad, and M. N. S. Swamy. "A very fast edge map-based algorithm for accurate motion estimation." Signal, Image and Video Processing 15, no. 7 (2021): 1609–16. http://dx.doi.org/10.1007/s11760-021-01896-4.

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45

Góral, Ida, and Krzysztof Tchoń. "Lagrangian Jacobian Motion Planning: A Parametric Approach." Journal of Intelligent & Robotic Systems 85, no. 3-4 (2016): 511–22. http://dx.doi.org/10.1007/s10846-016-0394-4.

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AbstractThis paper addresses the motion planning problem of nonholonomic robotic systems. The system’s kinematics are described by a driftless control system with output. It is assumed that the control functions are represented in a parametric form, as truncated orthogonal series. A new motion planning algorithm is proposed based on the solution of a Lagrange-type optimisation problem stated in the linear approximation of the parametrised system. Performance of the algorithm is illustrated by numeric computations for a motion planning problem of the rolling ball.

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46

Yan, Yuan, and Yasamin Mostofi. "Co-Optimization of Communication and Motion Planning of a Robotic Operation under Resource Constraints and in Fading Environments." IEEE Transactions on Wireless Communications 12, no. 4 (2013): 1562–72. http://dx.doi.org/10.1109/twc.2013.021213.120138.

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47

Hui, Ko-Cheung, Wan-Chi Siu, and Yui-Lam Chan. "Fast motion estimation of arbitrarily shaped video objects in MPEG-4." Signal Processing: Image Communication 18, no. 1 (2003): 33–50. http://dx.doi.org/10.1016/s0923-5965(02)00091-7.

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48

Gusev, S. V. "Linear stabilization of nonlinear systems program motion." Systems & Control Letters 11, no. 5 (1988): 409–12. http://dx.doi.org/10.1016/0167-6911(88)90100-4.

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Tutoveanu, Gianina, Simon J. Kitchin, Kenneth D. M. Harris, and Jens Müller. "Molecular motion in solid ammonia trimethylalane." Journal of Solid State Chemistry 176, no. 1 (2003): 120–26. http://dx.doi.org/10.1016/s0022-4596(03)00355-4.

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Arnold, Paul, Veselin Rakocevic, and Joachim Habermann. "Hybrid Radio Resource Management with Co-scheduling for Relay Extended OFDMA Networks." Wireless Personal Communications 109, no. 2 (2019): 1133–60. http://dx.doi.org/10.1007/s11277-019-06607-4.

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