Journal articles: 'Reversible machine'

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Detzortzis, Antonio, Nicolae Băran, and Stelian Carnaru. "“Reversible” Machine with Applications in the Field of Fluids." Advanced Materials Research 694-697 (May 2013): 588–93. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.588.

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The paper presents a new type of machine that can be used as well as working machine or as force machine. The machine consists of two purpose-machined rotors that rotate with the same speed inside a casing; relations used for the computation of machine flow rate and power are presented, as well as results of experimental researches performed for an experimental model tested on a setup.

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Ivshin, Igor Vladimirovich, Andrey Michailovich Kopylov, and Alfred Robertovich Safin. "Numerical Modeling of Dynamic Processes of the Reciprocating Reversible Electrical Machine." Applied Mechanics and Materials 792 (September 2015): 134–42. http://dx.doi.org/10.4028/www.scientific.net/amm.792.134.

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Now rotational electrical machines are used mainly for the implementation a reciprocating motion of working mechanisms and also as the electric generators powered by internal combustion engines. It is achieved by means of the kinematic transfers complicating a design and reducing the drive efficiency. The use of linear reciprocating electric machines allows to eliminate these defects. It should be noted that the most effective ones are the cylindrical designs of reciprocating electric machines with permanent magnets, whose efficiency reaches 93 – 95%. However, the rarity and lack of a mass production of this machine type and special recommendations for their design causes the need of research, directed on search of optimum constructive decisions. The article describes the types of linear electrical machines and summarizes the results of numerical modeling of dynamic characteristics for the three versions of the reciprocating cylindrical machine with permanent magnets of 10 kW with the oscillation frequency of the translator 20 Hz and the length of operating cycle of 120 mm. The most effective design parameters of linear electric machine were determined on the basis of its specific characteristics and analysis of the EMF graphics shape, appearing on the stator windings in the generator mode.

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CASTAGNOLI, GIUSEPPE. "QUANTUM STEADY COMPUTATION." International Journal of Modern Physics B 05, no. 13 (August 10, 1991): 2253–69. http://dx.doi.org/10.1142/s0217979291000870.

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Current conceptions of "quantum mechanical computers" inherit from conventional digital machines two apparently interacting features, machine imperfection and temporal development of the computational process. On account of machine imperfection, the process would become ideally reversible only in the limiting case of zero speed. Therefore the process is irreversible in practice and cannot be considered to be a fundamental quantum one. By giving up classical features and using a linear, reversible and non-sequential representation of the computational process — not realizable in classical machines — the process can be identified with the mathematical form of a quantum steady state. This form of steady quantum computation would seem to have an important bearing on the notion of cognition.

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Morita, Kenichi. "Universality of a reversible two-counter machine." Theoretical Computer Science 168, no. 2 (November 1996): 303–20. http://dx.doi.org/10.1016/s0304-3975(96)00081-3.

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Hoskins, Aaron A., and Melissa J. Moore. "The spliceosome: a flexible, reversible macromolecular machine." Trends in Biochemical Sciences 37, no. 5 (May 2012): 179–88. http://dx.doi.org/10.1016/j.tibs.2012.02.009.

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Feng, Guorui, Zhenxing Qian, and Ningjie Dai. "Reversible watermarking via extreme learning machine prediction." Neurocomputing 82 (April 2012): 62–68. http://dx.doi.org/10.1016/j.neucom.2011.10.028.

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Cassaigne, Julien, Nicolas Ollinger, and Rodrigo Torres-Avilés. "A small minimal aperiodic reversible Turing machine." Journal of Computer and System Sciences 84 (March 2017): 288–301. http://dx.doi.org/10.1016/j.jcss.2016.10.004.

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Hirose, Keiji, Yoshinobu Shiba, Kazuaki Ishibashi, Yasuko Doi, and Yoshito Tobe. "A Shuttling Molecular Machine with Reversible Brake Function." Chemistry - A European Journal 14, no. 11 (April 7, 2008): 3427–33. http://dx.doi.org/10.1002/chem.200702001.

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Manikandan, V. M., and V. Masilamani. "Reversible Data Hiding Scheme During Encryption Using Machine Learning." Procedia Computer Science 133 (2018): 348–56. http://dx.doi.org/10.1016/j.procs.2018.07.043.

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Byrne, Shane R., and Steven E. Rokita. "Unraveling Reversible DNA Cross-Links with a Biological Machine." Chemical Research in Toxicology 33, no. 11 (November 5, 2020): 2903–13. http://dx.doi.org/10.1021/acs.chemrestox.0c00413.

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Brown, Aidan I., and David A. Sivak. "Allocating dissipation across a molecular machine cycle to maximize flux." Proceedings of the National Academy of Sciences 114, no. 42 (October 3, 2017): 11057–62. http://dx.doi.org/10.1073/pnas.1707534114.

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Biomolecular machines consume free energy to break symmetry and make directed progress. Nonequilibrium ATP concentrations are the typical free energy source, with one cycle of a molecular machine consuming a certain number of ATP, providing a fixed free energy budget. Since evolution is expected to favor rapid-turnover machines that operate efficiently, we investigate how this free energy budget can be allocated to maximize flux. Unconstrained optimization eliminates intermediate metastable states, indicating that flux is enhanced in molecular machines with fewer states. When maintaining a set number of states, we show that—in contrast to previous findings—the flux-maximizing allocation of dissipation is not even. This result is consistent with the coexistence of both “irreversible” and reversible transitions in molecular machine models that successfully describe experimental data, which suggests that, in evolved machines, different transitions differ significantly in their dissipation.

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Tynyanova, Irina, Viktor Drankovskiy, Kseniya Rezvaya, and Оleksandr Kosorukov. "MODELING OF THE HYDRODYNAMIC CHARACTERISTICS OF A REVERSIBLE HYDRAULIC MACHINE." Bulletin of the National Technical University "KhPI". Series: Hydraulic machines and hydraulic units, no. 1 (September 27, 2019): 51–57. http://dx.doi.org/10.20998/2411-3441.2019.1.08.

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Gao, Guangyong, Caixue Zhou, and Zongmin Cui. "Reversible Watermarking Using Prediction-Error Expansion and Extreme Learning Machine." Mathematical Problems in Engineering 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/670535.

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Currently, the research for reversible watermarking focuses on the decreasing of image distortion. Aiming at this issue, this paper presents an improvement method to lower the embedding distortion based on the prediction-error expansion (PE) technique. Firstly, the extreme learning machine (ELM) with good generalization ability is utilized to enhance the prediction accuracy for image pixel value during the watermarking embedding, and the lower prediction error results in the reduction of image distortion. Moreover, an optimization operation for strengthening the performance of ELM is taken to further lessen the embedding distortion. With two popular predictors, that is, median edge detector (MED) predictor and gradient-adjusted predictor (GAP), the experimental results for the classical images and Kodak image set indicate that the proposed scheme achieves improvement for the lowering of image distortion compared with the classical PE scheme proposed by Thodi et al. and outperforms the improvement method presented by Coltuc and other existing approaches.

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Zhou, Chao, Zhongqiang Yang, and Dongsheng Liu. "Reversible Regulation of Protein Binding Affinity by a DNA Machine." Journal of the American Chemical Society 134, no. 3 (January 9, 2012): 1416–18. http://dx.doi.org/10.1021/ja209590u.

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Stoddart, Bill, Robert Lynas, and Frank Zeyda. "A Virtual Machine for Supporting Reversible Probabilistic Guarded Command Languages." Electronic Notes in Theoretical Computer Science 253, no. 6 (March 2010): 33–56. http://dx.doi.org/10.1016/j.entcs.2010.02.005.

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Adamkowski, Adam, Waldemar Janicki, and Mariusz Lewandowski. "Measurements of Discharge through a Pump-Turbine in Both Flow Directions Using Volumetric Gauging and Pressure-Time Methods." Energies 13, no. 18 (September 9, 2020): 4706. http://dx.doi.org/10.3390/en13184706.

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This article presents the original procedures for measuring the flow rate using the pressure-time and the volumetric gauging method in the case of performance tests of a reversible hydraulic machine in either turbine or pump modes of operation. Achieving the lowest possible measurement uncertainty was one of the basic conditions during implemented machine tests. It was met using appropriate measuring procedures and high-class measuring equipment. Estimation of the uncertainty for both methods was made on the basis of an analysis consistent with current requirements in this respect. The pressure-time method was supplemented by the computational fluid dynamics (CFD) analysis that allowed reducing the impact of the pipeline complex irregular geometry on the uncertainty of flow measurement. Appropriate modifications of the calculation procedure enabled accurate measurements of flow during the pump mode of operation of the tested machine as well. The volumetric gauging method, thanks to a special procedure used for accurate measurement of the water level in the upper reservoir of the power plant, allowed measuring the discharge through the tested reversible machine with very low uncertainty. The obtained results allowed for a detailed comparison and mutual verification of the methods used to measure the discharge of the tested reversible machine in both modes of its operation. The most possible causes of obtained results are discussed and summarized in the paper. The need for further research was pointed out to explain the differences obtained and their influence on the accuracy of discharge measurement using the pressure-time method in pump operation mode.

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dos Santos, Euzeli C., Cursino B. Jacobina, Nady Rocha, and Edison R. C. da Silva. "Six-Phase Machine Drive System With Reversible Parallel AC–DC–AC Converters." IEEE Transactions on Industrial Electronics 58, no. 5 (May 2011): 2049–53. http://dx.doi.org/10.1109/tie.2010.2054057.

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Scottwell, Synøve Ø., and James D. Crowley. "Ferrocene-containing non-interlocked molecular machines." Chemical Communications 52, no. 12 (2016): 2451–64. http://dx.doi.org/10.1039/c5cc09569g.

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Ferrocene is chemically robust and readily functionalized which enables its facile incorporation into more complex molecular systems. This coupled with ferrocene's reversible redox properties and ability to function as a “molecular ball bearing” has led to the use of ferrocene as a component in wide range of non-interlocked synthetic molecular machine systems.

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Saini, Ravi, Shehnaz Fatima, and Subhash Mohan Agarwal. "TMLRpred: A machine learning classification model to distinguish reversible EGFR double mutant inhibitors." Chemical Biology & Drug Design 96, no. 3 (September 2020): 921–30. http://dx.doi.org/10.1111/cbdd.13697.

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Gu, Yu, Peirong Lin, Chengda Zhou, and Mao Chen. "Machine learning-assisted systematical polymerization planning: case studies on reversible-deactivation radical polymerization." Science China Chemistry 64, no. 6 (May 17, 2021): 1039–46. http://dx.doi.org/10.1007/s11426-020-9969-y.

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Ma, Bin, Bing Li, Xiao-Yu Wang, Chun-Peng Wang, Jian Li, and Yun-Qing Shi. "Code Division Multiplexing and Machine Learning Based Reversible Data Hiding Scheme for Medical Image." Security and Communication Networks 2019 (January 17, 2019): 1–9. http://dx.doi.org/10.1155/2019/4732632.

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In this paper, a new reversible data hiding (RDH) scheme based on Code Division Multiplexing (CDM) and machine learning algorithms for medical image is proposed. The original medical image is firstly converted into frequency domain with integer-to-integer wavelet transform (IWT) algorithm, and then the secret data are embedded into the medium frequency subbands of medical image robustly with CDM and machine learning algorithms. According to the orthogonality of different spreading sequences employed in CDM algorithm, the secret data are embedded repeatedly, most of the elements of spreading sequences are mutually canceled, and the proposed method obtained high data embedding capacity at low image distortion. Simultaneously, the to-be-embedded secret data are represented by different spreading sequences, and only the receiver who has the spreading sequences the same as the sender can extract the secret data and original image completely, by which the security of the RDH is improved effectively. Experimental results show the feasibility of the proposed scheme for data embedding in medical image comparing with other state-of-the-art methods.

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Troha, Sanjin, Željko Vrcan, Dimitar Karaivanov, and Madina Isametova. "THE SELECTION OF OPTIMAL REVERSIBLE TWO-SPEED PLANETARY GEAR TRAINS FOR MACHINE TOOL GEARBOXES." Facta Universitatis, Series: Mechanical Engineering 18, no. 1 (March 27, 2020): 121. http://dx.doi.org/10.22190/fume191129013t.

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The application of multi-criteria optimization to two-carrier two-speed planetary gear trains is outlined in this paper. In order to determine the mathematical model of multi-criteria optimization variables, the objective functions and conditions must be determined first. Two-carrier two-speed planetary gear trains with brakes on coupled shafts are analyzed in this paper. The mathematical model covers the determination of the set of the Pareto optimal solutions as well as the method for selecting an optimal solution from this set. A numerical example is provided to illustrate the procedure in which the optimal two-speed planetary gear train is selected and defined by design parameters.

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Marras, Alexander E., Lifeng Zhou, Hai-Jun Su, and Carlos E. Castro. "Programmable motion of DNA origami mechanisms." Proceedings of the National Academy of Sciences 112, no. 3 (January 5, 2015): 713–18. http://dx.doi.org/10.1073/pnas.1408869112.

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DNA origami enables the precise fabrication of nanoscale geometries. We demonstrate an approach to engineer complex and reversible motion of nanoscale DNA origami machine elements. We first design, fabricate, and characterize the mechanical behavior of flexible DNA origami rotational and linear joints that integrate stiff double-stranded DNA components and flexible single-stranded DNA components to constrain motion along a single degree of freedom and demonstrate the ability to tune the flexibility and range of motion. Multiple joints with simple 1D motion were then integrated into higher order mechanisms. One mechanism is a crank–slider that couples rotational and linear motion, and the other is a Bennett linkage that moves between a compacted bundle and an expanded frame configuration with a constrained 3D motion path. Finally, we demonstrate distributed actuation of the linkage using DNA input strands to achieve reversible conformational changes of the entire structure on ∼minute timescales. Our results demonstrate programmable motion of 2D and 3D DNA origami mechanisms constructed following a macroscopic machine design approach.

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Et.al, Subodh S. Ingaleshwara. "Heterogeneous architecture for reversible watermarking system for medical images using Integer transform based Reverse Contrast Mapping." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (April 10, 2021): 308–15. http://dx.doi.org/10.17762/turcomat.v12i6.1377.

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Algorithms in multimedia security including machine learning and deep learning find its way into more and more application field resulting in strict power and area constraints. This challenges traditional homogeneous computing concepts and drives the development of new, heterogeneous architectures. One way to attain a balance of high data throughput and flexibility is to combine soft-core FPGA accelerators with CPUs as hosts. In this paper, in order to achieve higher performance, low latency, unlimited re-configurability and most important very high energy efficiency, we have proposed a hybrid architecture using CPU and FPGA. These components are then dynamically configured to form complex algorithms directly in hardware by implementing reversible watermarking of medical images. We are proposing such reversible watermarking using Integer transform based Reversible Contrast Mapping (RCM) algorithm. We got improvement in results with respect to Peak Signal to Noise Ratio (PSNR) and Structural Similarity (SSIM), when compare to the implementation in proposed architecture and simulation results of different image formats like jpeg, png and DICOM.

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Li, Ming-Cui, and Ri-Gui Zhou. "Novel Synthesis Methodology for Fault Tolerant Reversible Circuits by Bounded Model Checking for Linear Temporal Logic." Journal of Circuits, Systems and Computers 24, no. 06 (May 26, 2015): 1550091. http://dx.doi.org/10.1142/s0218126615500917.

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Reversible circuit is of interest due to the characteristics of low energy consumption. This paper proposes a new scheme for synthesizing fault tolerant reversible circuits. A two-step method is put forward to convert an irreversible function into a parity-preserving reversible circuit. By introducing model checking for linear temporal logic, we construct a finite state machine to synthesize small reversible gates from elementary 1-qubit and 2-qubit gates, which is more automatic than the methods proposed previously. Constrains are increased so as to reduce the synthesis time in the two step method. The parity-preserving gate constructed by the two-step method has characteristics of low quantum cost because the quantum representation obtained from the counterexample for a given function in each step has the minimum quantum cost. In order to further reduce the quantum cost and decrease the synthesis time, the semi parity-preserving gates are put forward for the first time. These gates are parity-preserving when the auxiliary input is set to 0 and opposite parity when 1. Maintaining good robustness of the system in performing specific function, semi parity-preserving gate is conducive to detecting the stuck-at fault and partial gate fault in reversible circuits. The innovation of this paper is introducing the formal method to synthesis small fault tolerant gate, so as to construct the circuit with robust (semi) parity-preserving gates.

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Hirose, Keiji, Yoshinobu Shiba, Kazuaki Ishibashi, Yasuko Doi, and Yoshito Tobe. "Cover Picture: A Shuttling Molecular Machine with Reversible Brake Function (Chem. Eur. J. 11/2008)." Chemistry - A European Journal 14, no. 11 (April 7, 2008): 3223. http://dx.doi.org/10.1002/chem.200890036.

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Li, Hongyang, and Yuanfang Guan. "Machine learning empowers phosphoproteome prediction in cancers." Bioinformatics 36, no. 3 (August 13, 2019): 859–64. http://dx.doi.org/10.1093/bioinformatics/btz639.

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Abstract Motivation Reversible protein phosphorylation is an essential post-translational modification regulating protein functions and signaling pathways in many cellular processes. Aberrant activation of signaling pathways often contributes to cancer development and progression. The mass spectrometry-based phosphoproteomics technique is a powerful tool to investigate the site-level phosphorylation of the proteome in a global fashion, paving the way for understanding the regulatory mechanisms underlying cancers. However, this approach is time-consuming and requires expensive instruments, specialized expertise and a large amount of starting material. An alternative in silico approach is predicting the phosphoproteomic profiles of cancer patients from the available proteomic, transcriptomic and genomic data. Results Here, we present a winning algorithm in the 2017 NCI-CPTAC DREAM Proteogenomics Challenge for predicting phosphorylation levels of the proteome across cancer patients. We integrate four components into our algorithm, including (i) baseline correlations between protein and phosphoprotein abundances, (ii) universal protein–protein interactions, (iii) shareable regulatory information across cancer tissues and (iv) associations among multi-phosphorylation sites of the same protein. When tested on a large held-out testing dataset of 108 breast and 62 ovarian cancer samples, our method ranked first in both cancer tissues, demonstrating its robustness and generalization ability. Availability and implementation Our code and reproducible results are freely available on GitHub: https://github.com/GuanLab/phosphoproteome_prediction. Supplementary information Supplementary data are available at Bioinformatics online.

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Khlyupin, P. A. "Electric energy storage units for distributed energy systems." Power and Autonomous equipment 2, no. 4 (January 24, 2020): 219–30. http://dx.doi.org/10.32464/2618-8716-2019-2-4-219-230.

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Introduction: there is much concern about power supply to small and remote villages and industrial facilities, such as crude oil and gas fields, in the present-day power industry. Systems using renewable energy sources are the most innovative solutions to this problem. The need for electric energy storage units complicates the use of renewable energy sources. Versatile types of storage units, working on different principles, are in use now. Flywheels, working on the principle of mechanical accumulation of energy, are of particular interest.Methods: both traditional and advanced designs of electric energy accumulation systems are analyzed in the article. Recent advancements in machine building, power engineering and structural materials are contributed into structural elements of an electric energy accumulation system.Results and discussion: basic strengths and weaknesses of electric energy storage units were identified in the course of the analysis. The author substantiated the need for new effective electric energy storage units working on the principle of mechanical accumulation of potential and kinetic energy. The conclusion is that advanced engineering solutions, such as flywheels and energy efficient reversible electric machines, can boost the efficiency of electric power storage systems. The solution underlying the design of an energy efficient storage unit is offered to electric power industry players.Conclusion: the storage unit under development has flywheels and energy efficient reversible electric machines. It improves the energy efficiency of both classical power generation systems and those using renewable energy sources.

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Khvatov, Oleg Stanislavovich, Ilya Aleksandrovich Tarpanov, and Pavel Vadimovich Kuznecov. "Ship power plant with reversible shaft generator unit operating by dual-power machine scheme and variable speed diesel generator." Vestnik of Astrakhan State Technical University. Series: Marine engineering and technologies 2021, no. 3 (August 31, 2021): 93–100. http://dx.doi.org/10.24143/2073-1574-2021-3-93-100.

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The article presents the analysis of the operating modes of small displacement vessels, which states that most of the working time the vessels are in standby mode, or move at low speed. The main ship diesel engines operate at a load of 10-15% (maximum 20%), which impacts the operational performance: the oil and water jacket of the engine do not have time to warm up, fuel and oil consumption increases. There takes place coking of piston rings, intercoolers and other components, which leads to a sharp decrease in the service life of the engine. In order to eliminate the disadvantages happening in the main engines operation in shared load modes, it is considered to use the shaft generator unit as a propeller shaft unit in the prolonged operation of the vessel at passing with a low speed and maneuvering. Such a variant of the shaft generator can be called a reversible shaft generator unit (RSGU) capable of operating in both generator and motor modes. At the same time, it is advisable to power the reversible shaft generator and general ship consumers from a diesel generator, which, in order to save fuel, can be applied as a variable speed diesel generator unit. There is presented a RSGU variant based on an asynchronous machine with a phase rotor and a frequency converter in the rotor (a double power supply machine). The functional and structural schemes of the ship’s electric power system using the variable speed diesel generator and the propulsive system based on the reversible shaft generator are presented. In the Matlab software there are developed the simulation models and presented the results of simulation modeling of the operating modes of the above systems.

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Muneyuki, Eiro, and Ken Sekimoto. "2P215 A model of reversible molecular machine for free energy transduction(37. Molecular motor (II),Poster Session,Abstract,Meeting Program of EABS & BSJ 2006)." Seibutsu Butsuri 46, supplement2 (2006): S349. http://dx.doi.org/10.2142/biophys.46.s349_3.

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Changeux, Jean-Pierre. "The nicotinic acetylcholine receptor: a typical ‘allosteric machine’." Philosophical Transactions of the Royal Society B: Biological Sciences 373, no. 1749 (May 7, 2018): 20170174. http://dx.doi.org/10.1098/rstb.2017.0174.

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The concept of allosteric interaction was initially proposed to account for the inhibitory feedback mechanism mediated by bacterial regulatory enzymes. In contrast with the classical mechanism of competitive, steric, interaction between ligands for a common site, allosteric interactions take place between topographically distinct sites and are mediated by a discrete and reversible conformational change of the protein. The concept was soon extended to membrane receptors for neurotransmitters and shown to apply to the signal transduction process which, in the case of the acetylcholine nicotinic receptor (nAChR), links the ACh binding site to the ion channel. Pharmacological effectors, referred to as allosteric modulators, such as Ca 2+ ions and ivermectin, were discovered that enhance the transduction process when they bind to sites distinct from the orthosteric ACh site and the ion channel. The recent X-ray and electron microscopy structures, at atomic resolution, of the resting and active conformations of several homologues of the nAChR, in combination with atomistic molecular dynamics simulations reveal a stepwise quaternary transition in the transduction process with tertiary changes modifying the boundaries between subunits. These interfaces host orthosteric and allosteric modulatory sites which structural organization changes in the course of the transition. The nAChR appears as a typical allosteric machine. The model emerging from these studies has led to the conception and development of several new pharmacological agents. This article is part of a discussion meeting issue ‘Allostery and molecular machines’.

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Siegel, R. P. "The Artificial Tree." Mechanical Engineering 140, no. 11 (November 1, 2018): 34–39. http://dx.doi.org/10.1115/1.2018-nov-2.

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Inside Arizona State University in Tempe’s lab sit the parts for an artificial tree, capable of extracting carbon dioxide 1,000 times faster than a natural tree. The research team is methodically transforming the process into a machine through which carbon dioxide doesn’t get turned into fruit or roots or tree trunks, as it does with a natural tree, but simply gets collected by resin in a reversible chemical process. This article takes a closer look at the process.

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Keßler, Marcus, Ilka Wittig, Jörg Ackermann, and Ina Koch. "Prediction and analysis of redox-sensitive cysteines using machine learning and statistical methods." Biological Chemistry 402, no. 8 (January 6, 2021): 925–35. http://dx.doi.org/10.1515/hsz-2020-0321.

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Abstract Reactive oxygen species are produced by a number of stimuli and can lead both to irreversible intracellular damage and signaling through reversible post-translational modification. It is unclear which factors contribute to the sensitivity of cysteines to redox modification. Here, we used statistical and machine learning methods to investigate the influence of different structural and sequence features on the modifiability of cysteines. We found several strong structural predictors for redox modification. Sensitive cysteines tend to be characterized by higher exposure, a lack of secondary structure elements, and a high number of positively charged amino acids in their close environment. Our results indicate that modified cysteines tend to occur close to other post-translational modifications, such as phosphorylated serines. We used these features to create models and predict the presence of redox-modifiable cysteines in human mitochondrial complex I as well as make novel predictions regarding redox-sensitive cysteines in proteins.

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Kaid, Husam, Abdulrahman Al-Ahmari, Zhiwu Li, and Reggie Davidrajuh. "Intelligent Colored Token Petri Nets for Modeling, Control, and Validation of Dynamic Changes in Reconfigurable Manufacturing Systems." Processes 8, no. 3 (March 20, 2020): 358. http://dx.doi.org/10.3390/pr8030358.

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The invention of reconfigurable manufacturing systems (RMSs) has created a challenging problem: how to quickly and effectively modify an RMS to address dynamic changes in a manufacturing system, such as processing failures and rework, machine breakdowns, addition of new machines, addition of new products, removal of old machines, and changes in processing routes induced by the competitive global market. This paper proposes a new model, the intelligent colored token Petri net (ICTPN), to simulate dynamic changes or reconfigurations of a system. The main idea is that intelligent colored tokens denote part types that represent real-time knowledge about changes and status of a system. Thus, dynamic configurations of a system can be effectively modeled. The developed ICTPN can model dynamic changes of a system in a modular manner, resulting in the development of a very compact model. In addition, when configurations appear, only the changed colored token of the part type from the current model has to be modified. Based on the resultant ICTPN model, deadlock-free, conservative, and reversible behavioral properties, among others, are guaranteed. The developed ICTPN model was tested and validated using the GPenSIM tool and compared with existing methods from the literature.

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Hwang, Yeong-Maw, and Chiao-Chou Chen. "Investigation of Effects of Strip Metals and Relative Sliding Speeds on Friction Coefficients by Reversible Strip Friction Tests." Metals 10, no. 10 (October 14, 2020): 1369. http://dx.doi.org/10.3390/met10101369.

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Friction at the interface between strips and dies is an important factor influencing the formability of strip or sheet forming. In this study, the frictional behaviors of strips at variant speeds were investigated using a self-developed strip friction test machine with a dual tension mechanism. This friction test machine, stretching a strip around a cylindrical friction wheel, was used to investigate the effects of various parameters, including sliding speeds, contact angles, strip materials, and lubrication conditions on friction coefficients at the strip–die interface. The friction coefficients at the strip–die interface were calculated from the drawing forces at the strip on both ends and the contact angle between the strip and die. A series of friction tests using carbon steel, aluminum alloy, and brass strips as the test piece were conducted. From the friction test results, it is known that the friction coefficients can be reduced greatly with lubricants on the friction wheel surface and the friction coefficients are influenced by the strip roughness, contact area, relative speeds between the strip and die, etc. The friction coefficients obtained under various friction conditions can be applied to servo deep drawing or servo draw-bending processes with variant speeds and directions.

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Volkov, A. V., A. G. Parygin, A. A. Vikhlyantsev, and A. A. Druzhinin. "On optimization of flow passages of impellers of centrifugal pumps." Safety and Reliability of Power Industry 11, no. 4 (January 21, 2019): 311–18. http://dx.doi.org/10.24223/1999-5555-2018-11-4-311-318.

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The conventional solution for HAPPs is the use of reversible hydraulic machines operating both in the pump mode as well as in the turbine mode. At the same time, for example, a blade system of a hydraulic machine designed for the pumping mode has a high efficiency. However, in the turbine mode, the energy characteristics of such machine are far from optimal. Considering different patterns of micro- and mini-HAPPs (up to 100 kW) of modular design, it is most appropriate to use a pump and a turbine separately, since the efficiency of hydraulic machines is very important in the case of such low power. To date, approaches to the design of hydraulic turbines are quite developed and allow to achieve high energy performance [1, 2]. According to different data sources the level of axial turbine efficiency with power less than 100 kW is about 80÷91%. At the same time, for centrifugal pumps, especially those of low specific speed, the problem of increasing energy efficiency is very urgent. E.g., for pumps with a specific speed ns< 80 the efficiency level is usually 40 to 65%. The aim of the presented research is the development of methods of synthesis and optimization of the flow passages of centrifugal pumps using the approaches of the theory of optimal control and increasing energy performance of hydraulic machines. Various ways of local correction of geometry of flow passages are presented in the paper. As an alternative to empirical approaches, methods based on the control of the circulation distribution are considered in detail. Various mathematical dependences of the flow circulation on the coordinate of the point lying on the surface of the blade are analyzed. Possibilities of application of the theory of experiment planning in relation to the problems to be solved are considered.

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Jeon, Woo Sung, Albina Y. Ziganshina, Jae Wook Lee, Young Ho Ko, Jin-Koo Kang, Chongmok Lee, and Kimoon Kim. "A[2]Pseudorotaxane-Based Molecular Machine: Reversible Formation of a Molecular Loop Driven by Electrochemical and Photochemical Stimuli." Angewandte Chemie 115, no. 34 (September 5, 2003): 4231–34. http://dx.doi.org/10.1002/ange.200351925.

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Jeon, Woo Sung, Albina Y. Ziganshina, Jae Wook Lee, Young Ho Ko, Jin-Koo Kang, Chongmok Lee, and Kimoon Kim. "A[2]Pseudorotaxane-Based Molecular Machine: Reversible Formation of a Molecular Loop Driven by Electrochemical and Photochemical Stimuli." Angewandte Chemie International Edition 42, no. 34 (September 5, 2003): 4097–100. http://dx.doi.org/10.1002/anie.200351925.

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Baik, Sangyul, Jihyun Lee, Eun Je Jeon, Bo-yong Park, Da Wan Kim, Jin Ho Song, Heon Joon Lee, Seung Yeop Han, Seung-Woo Cho, and Changhyun Pang. "Diving beetle–like miniaturized plungers with reversible, rapid biofluid capturing for machine learning–based care of skin disease." Science Advances 7, no. 25 (June 2021): eabf5695. http://dx.doi.org/10.1126/sciadv.abf5695.

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Recent advances in bioinspired nano/microstructures have received attention as promising approaches with which to implement smart skin-interfacial devices for personalized health care. In situ skin diagnosis requires adaptable skin adherence and rapid capture of clinical biofluids. Here, we report a simple, all-in-one device consisting of microplungers and hydrogels that can rapidly capture biofluids and conformally attach to skin for stable, real-time monitoring of health. Inspired by the male diving beetle, the microplungers achieve repeatable, enhanced, and multidirectional adhesion to human skin in dry/wet environments, revealing the role of the cavities in these architectures. The hydrogels within the microplungers instantaneously absorb liquids from the epidermis for enhanced adhesiveness and reversibly change color for visual indication of skin pH levels. To realize advanced biomedical technologies for the diagnosis and treatment of skin, our suction-mediated device is integrated with a machine learning framework for accurate and automated colorimetric analysis of pH levels.

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Kim, Sun Kyung, Peter C. Goughnour, Eui Jin Lee, Myeong Hyun Kim, Hee Jin Chae, Gwang Yeul Yun, Yi Rang Kim, and Jin Woo Choi. "Identification of drug combinations on the basis of machine learning to maximize anti-aging effects." PLOS ONE 16, no. 1 (January 28, 2021): e0246106. http://dx.doi.org/10.1371/journal.pone.0246106.

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Aging is a multifactorial process that involves numerous genetic changes, so identifying anti-aging agents is quite challenging. Age-associated genetic factors must be better understood to search appropriately for anti-aging agents. We utilized an aging-related gene expression pattern-trained machine learning system that can implement reversible changes in aging by linking combinatory drugs. In silico gene expression pattern-based drug repositioning strategies, such as connectivity map, have been developed as a method for unique drug discovery. However, these strategies have limitations such as lists that differ for input and drug-inducing genes or constraints to compare experimental cell lines to target diseases. To address this issue and improve the prediction success rate, we modified the original version of expression profiles with a stepwise-filtered method. We utilized a machine learning system called deep-neural network (DNN). Here we report that combinational drug pairs using differential expressed genes (DEG) had a more enhanced anti-aging effect compared with single independent treatments on leukemia cells. This study shows potential drug combinations to retard the effects of aging with higher efficacy using innovative machine learning techniques.

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Chakraborty, Sanjay, Soharab Hossain Shaikh, Sudhindu Bikash Mandal, Ranjan Ghosh, and Amlan Chakrabarti. "A study and analysis of a discrete quantum walk-based hybrid clustering approach using d-regular bipartite graph and 1D lattice." International Journal of Quantum Information 17, no. 02 (March 2019): 1950016. http://dx.doi.org/10.1142/s0219749919500163.

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Traditional machine learning shares several benefits with quantum information processing field. The study of machine learning with quantum mechanics is called quantum machine learning. Data clustering is an important tool for machine learning where quantum computing plays a vital role in its inherent speed up capability. In this paper, a hybrid quantum algorithm for data clustering (quantum walk-based hybrid clustering (QWBHC)) is introduced where one-dimensional discrete time quantum walks (DTQW) play the central role to update the positions of data points according to their probability distributions. A quantum oracle is also designed and it is mainly implemented on a finite [Formula: see text]-regular bipartite graph where data points are initially distributed as a predefined set of clusters. An overview of a quantum walk (QW) based clustering algorithm on 1D lattice structure is also introduced and described in this paper. In order to search the nearest neighbors, a unitary and reversible DTQW gives a quadratic speed up over the traditional classical random walk. This paper also demonstrates the comparisons of our proposed hybrid quantum clustering algorithm with some state-of-the-art clustering algorithms in terms of clustering accuracy and time complexity analysis. The proposed quantum oracle needs [Formula: see text] queries to mark the nearest data points among clusters and modify the existing clusters. Finally, the proposed QWBHC algorithm achieves [Formula: see text] performance.

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Stajic, Zoran, Dragan Petrovic, and Dusan Arnautovic. "Starting generator driving torque modeling in the studies of synchronous starting of synchronous machines." Facta universitatis - series: Electronics and Energetics 15, no. 3 (2002): 399–408. http://dx.doi.org/10.2298/fuee0203399s.

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The paper deals with significance of the starting generator (SG) driving torque modeling in the studies of synchronous starting of synchronous machines (SSSM). The detailed mathematical model of SSSM in reversible pumped storage plant (RPSP) "Bajina Basta" is derived. Because it is very difficult to include the detailed model of the SG turbine in the system model, function of SG driving torque is modeled approximately. The most frequent case in SSSM studies is its approximation with a time linear function, until it reaches the value that should provide rotating of both machine rotors with synchronous velocities, which is also used in the paper Afterwards, three different cases are considered: constant, linear and polynomial approximation in terms of SG rotor velocity. Numerical results obtained by applying developed models to a particular case of synchronous starting are compared with the corresponding experimental results. In this way, it is shown that the application of the most frequently used SG driving torque modeling leads to the erroneous results. The advantages of the polynomial approximation suggested in the paper and its validity is demonstrated.

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Mitra, Debasis. "Stochastic theory of a fluid model of producers and consumers coupled by a buffer." Advances in Applied Probability 20, no. 03 (September 1988): 646–76. http://dx.doi.org/10.1017/s000186780001819x.

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This paper analyzes, derives efficient computational procedures and numerically investigates the following fluid model which is of interest in manufacturing and communications: m producing machines supply a buffer, n consuming machines feed off it. Each machine independently alternates between exponentially distributed random periods in the ‘in service' and ‘failed' states. Producers/consumers have their own failure/repair rates and working capacities. When the buffer is either full or empty some of the machines in service are not utilized to capacity; otherwise they are fully utilized. Our main result is for the state distribution of the Markovian system in equilibrium which is the solution of a system of differential equations. The spectral expansion for its solution is obtained. Two important decompositions are obtained: the eigenvectors have the Kronecker-product form in lower-dimensional vectors; the characteristic polynomial is factored with each factor an explicitly given polynomial of degree at most 4. All eigenvalues are real. For each of various cases of the model, a system of linear equations is derived from the boundary conditions; their solution complete the spectral expansion. The count in operations of the entire procedure is O(m 3 n 3): independence from buffer size exemplifies an important attraction of fluid models. Computations have revealed several interesting features, such as the benefit of small machines and the inelasticity of production rate to inventory. We also give results on the eigenvalues of a more general fluid model, reversible Markov drift processes.

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Mitra, Debasis. "Stochastic theory of a fluid model of producers and consumers coupled by a buffer." Advances in Applied Probability 20, no. 3 (September 1988): 646–76. http://dx.doi.org/10.2307/1427040.

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This paper analyzes, derives efficient computational procedures and numerically investigates the following fluid model which is of interest in manufacturing and communications: m producing machines supply a buffer, n consuming machines feed off it. Each machine independently alternates between exponentially distributed random periods in the ‘in service' and ‘failed' states. Producers/consumers have their own failure/repair rates and working capacities. When the buffer is either full or empty some of the machines in service are not utilized to capacity; otherwise they are fully utilized. Our main result is for the state distribution of the Markovian system in equilibrium which is the solution of a system of differential equations. The spectral expansion for its solution is obtained. Two important decompositions are obtained: the eigenvectors have the Kronecker-product form in lower-dimensional vectors; the characteristic polynomial is factored with each factor an explicitly given polynomial of degree at most 4. All eigenvalues are real. For each of various cases of the model, a system of linear equations is derived from the boundary conditions; their solution complete the spectral expansion. The count in operations of the entire procedure is O(m3n3): independence from buffer size exemplifies an important attraction of fluid models. Computations have revealed several interesting features, such as the benefit of small machines and the inelasticity of production rate to inventory. We also give results on the eigenvalues of a more general fluid model, reversible Markov drift processes.

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Chimenti, Michael S., Stacie L. Bulfer, R. Jeffrey Neitz, Adam R. Renslo, Matthew P. Jacobson, Thomas L. James, Michelle R. Arkin, and Mark J. S. Kelly. "A Fragment-Based Ligand Screen Against Part of a Large Protein Machine." Journal of Biomolecular Screening 20, no. 6 (February 17, 2015): 788–800. http://dx.doi.org/10.1177/1087057115570550.

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The ubiquitous AAA+ ATPase p97 functions as a dynamic molecular machine driving several cellular processes. It is essential in regulating protein homeostasis, and it represents a potential drug target for cancer, particularly when there is a greater reliance on the endoplasmic reticulum–associated protein degradation pathway and ubiquitin–proteasome pathway to degrade an overabundance of secreted proteins. Here, we report a case study for using fragment-based ligand design approaches against this large and dynamic hexamer, which has multiple potential binding sites for small molecules. A screen of a fragment library was conducted by surface plasmon resonance (SPR) and followed up by nuclear magnetic resonance (NMR), two complementary biophysical techniques. Virtual screening was also carried out to examine possible binding sites for the experimental hits and evaluate the potential utility of fragment docking for this target. Out of this effort, 13 fragments were discovered that showed reversible binding with affinities between 140 µM and 1 mM, binding stoichiometries of 1:1 or 2:1, and good ligand efficiencies. Structural data for fragment–protein interactions were obtained with residue-specific [U-2H] 13CH3-methyl-labeling NMR strategies, and these data were compared to poses from docking. The combination of virtual screening, SPR, and NMR enabled us to find and validate a number of interesting fragment hits and allowed us to gain an understanding of the structural nature of fragment binding.

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Munmun, Tasrina, Arif Md Rashedul Kabir, Kazuki Sada, and Akira Kakugo. "Complete, rapid and reversible regulation of the motility of a nano-biomolecular machine using an osmolyte trimethylamine-N-oxide." Sensors and Actuators B: Chemical 304 (February 2020): 127231. http://dx.doi.org/10.1016/j.snb.2019.127231.

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Yamaoka, Yumiko, Mitsuaki Bandoh, and Kensuke Kawai. "Reversible hippocampal lesions detected on magnetic resonance imaging in two cases of transient selective amnesia for simple machine operation." Neurocase 22, no. 4 (July 1, 2016): 387–91. http://dx.doi.org/10.1080/13554794.2016.1202288.

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Lee, Jae Wook, Ilha Hwang, Woo Sung Jeon, Young Ho Ko, Shigeru Sakamoto, Kentaro Yamaguchi, and Kimoon Kim. "Synthetic Molecular Machine Based on Reversible End-to-Interior and End-to-End Loop Formation Triggered by Electrochemical Stimuli." Chemistry - An Asian Journal 3, no. 8-9 (September 1, 2008): 1277–83. http://dx.doi.org/10.1002/asia.200800054.

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Troyanovskaya, I. P., and A. O. Zhakov. "Road holding ability of machine-tractor unit during plowing." Traktory i sel'hozmashiny 1, no. 6 (2020): 41–49. http://dx.doi.org/10.31992/0321-4443-2020-6-41-49.

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The discrepancy between the working width of the plow and the width of the tractor leads to asymmetry of the arable units. The geometry of the share surface of the reversible plow contributes to the generation of lateral forces on the working tool. All this contributes to the imbalance of the working body and the deviation of the tractor from straight-line movement during plowing. To maintain a straight line, the driver has to correct the vehicle movement every 5-10 meters, which makes him more tired. To study the causes of lateral slip of the plowing unit, a mathematical model was built. It consists of the equations of controlled motion and equations of uncontrolled shift of the tractor under the action of external forces from the plow. The description of the force interaction of the propeller with the ground is based on the mathematical theory of friction, taking into account anisotropy and elastic properties in contact. On the basis of the passive shear model, the hodograph of the maximum force shifting the tractor from the side of the working tool is constructed. It has been established that the shear force reaches its maximum adhesion value only in the case of trans-lational shear, when its line of action passes through the center of gravity of the tractor. In all other cases, the shift (pull) of the tractor is carried out by a force of a lower value. The features and as-sumptions of the model are formulated in relation to the tracked and wheeled tractors. As a result, it was found that regardless of the direction of the lateral displacement of the plow draft resistance, the tractor is pulled towards the plowed field. The result of the numerical experiment showed that the main reason for the drift of the wheeled arable unit is the different type of soil along the sides of the tractor, but not the displacement of the plow traction resistance.

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Periyasamy, Ganga, R. D. Levine, and F. Remacle. "Redox-Executed Logic Operations through the Reversible Voltammetric Response Characteristics of Electroactive Self-Assembled Monolayers." Australian Journal of Chemistry 63, no. 2 (2010): 173. http://dx.doi.org/10.1071/ch09504.

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We propose charge quantization in electrochemical oxidation–reduction (redox) systems as a route to performing logical operations efficiently and reversibly. The theory is based on the interfacial potential distribution for electrodes coated with electroactive self-assembled molecular films. We monitor the change in the oxidation number by studying the current as a function of the working and reference electrode potentials and of the temperature. Diamond-shaped regions can be defined that delineate the stability of a given redox species as a function of the applied and reference potentials. Using these electrochemical Coulomb diamonds, we then show the principles for the design of a complete set of binary gates and a finite-state set–reset machine. We demonstrate the analogies between these redox systems and nanoscale solid-state systems where the charging energy is finite. Redox systems allow simple logic operations at room temperature because typically the standard potential is higher than the thermal energy.

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Journal articles on the topic 'Reversible machine'

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