Journal articles: 'Fuse model'

1

Plesca, Adrian. "Temperature Distribution of HBC Fuses with Asymmetric Electric Current Ratios Through Fuselinks." Energies 11, no. 8 (July 31, 2018): 1990. http://dx.doi.org/10.3390/en11081990.

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In many industrial applications high breaking capacity (HBC) fuses are used to protect electrical installations against overcurrents, especially in the power distribution network. At high rated current, HBC fuses have more parallel fuselinks mounted inside. The technological and mounting processes of the fuselinks inside the fuse results in an asymmetrical current distribution through the parallel fuselinks. In this article a model of a high breaking capacity fuse using two parallel fuselinks is proposed. The influence of electric current, cross-section of the notches, distance between notches and current imbalance through fuselinks on the maximum temperature rise of both fuselinks, has been investigated. Also, a 3D thermal model for the same HBC fuse has been developed. The temperature spread into the fuse and its elements has been obtained. In order to prove the validity of the mathematical and 3D model different tests have been considered. The experimental, simulation and computed results give similar values and it results that this model can also be used for fuses with many parallel fuselinks and it permits the design of new fuse elements with optimal thermal distribution.

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Vanneste, Christian, and Didier Sornette. "The dynamical thermal fuse model." Journal de Physique I 2, no. 8 (August 1992): 1621–44. http://dx.doi.org/10.1051/jp1:1992231.

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Qader, Mohammed Redha, Hedaia Al-Asooly, and Isa Salman Qamber. "Influence of System Parameters on Fuse Protection Use in Regenerative DC Drives." Energies 2, no. 2 (June 16, 2009): 411–26. http://dx.doi.org/10.3390/en20200411.

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Current limiting fuses are widely used to protect the thyristors in DC drive systems. One very important problem is the choice of the correct voltage rating for fuses protecting regenerative DC drives, where many types of fault may occur, which makes fuse protection difficult. In the event of a commutation failure while regenerating, the fuses need to interrupt the loop supplied by the AC and DC voltages acting in series, which is the most difficult case for protection by fuses. In this paper a detailed study of the complete interruption process has been investigated by modeling of arcing process of the fuse protection against the regenerative circuit internal commutation fault. The effect of varying the motor time constant, supply impedance, number of fuses used to clear the fault and DC machine rating on the total transient response is studied. The model of a 200 A fuse is employed in this study. Fuses in series with both the semiconductor devices (F1) and fuses in AC lines (F2) are considered. Comparison was made between arc energy produced for fuses protecting the regenerative circuit if failure occurs, with the arc energy produced in a standard AC test in order to investigate the required voltage rating for the fuse.

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Zapperi, S., H. J. Herrmann, and S. Roux. "Planar cracks in the fuse model." European Physical Journal B 17, no. 1 (August 2000): 131–36. http://dx.doi.org/10.1007/s100510070168.

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Nian-chun, Wang, and Ji You-zhang. "The Arc Model in SiO2Current-limiting Fuse." Plasma Science and Technology 3, no. 6 (December 2001): 1019–26. http://dx.doi.org/10.1088/1009-0630/3/6/002.

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de Arcangelis, L., S. Redner, and H. J. Herrmann. "A random fuse model for breaking processes." Journal de Physique Lettres 46, no. 13 (1985): 585–90. http://dx.doi.org/10.1051/jphyslet:019850046013058500.

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Kirui, Kemei Peter, David K. Murage, and Peter K. Kihato. "Fuse-Fuse Protection Scheme ETAP Model for IEEE 13 Node Radial Test Distribution Feeder." European Journal of Engineering Research and Science 4, no. 9 (September 29, 2019): 224–34. http://dx.doi.org/10.24018/ejers.2019.4.9.1549.

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According to NEC 240.101 regulations each and every component of a power system distribution network has to have an over-current protective device (OCPD) for its protection. The OCPDs must coordinate with other devices both upstream and downstream for a reliable operation and protection of the power systems distribution network. There are four equipment/components for the IEEE 13 node radial test feeder each modelled in this paper to be protected by fuses. These components are namely the nodes, the underground cables, the overhead distribution lines and the transformers. Equipment protection is an important and necessary exercise of performing power systems protection coordination processes. The equipment and their over-current protective device’s time-current characteristic (TCC) curves are important tools used to show and to indicate the protection requirements, landmark points and damage curves for all power systems equipment. Individual equipment protection requirements and limitations are described and identified by use of their various landmarks and damage curves. These damage curves and the landmark points are all superimposed with the Time-Current Characteristic curves of the Over-Current Protective Devices used in protecting the equipment on one composite TCC graph. Equipment damage curves which fall to the right and above the Over-Current Protective Device’s TCC curves with sufficient margins are considered to be protected by the OCPDs. Equipment damage curves which fall to the left and below the OCPD’s TCC curves are considered not to be protected by the OCPDs. IEEE Standard 241 states that on all power systems, the OCPDs should be selected and set to open before the Ampacity mark, the short circuit damage curves, and both the thermal and the mechanical damage curves limits of the protected components are exceeded. This paper presents a detailed Fuse-Fuse protection scheme for the IEEE 13 node radial test feeder as modeled on the Electrical Transients Analysis Program (ETAP).

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8

Plesca, Adrian. "Numerical Analysis of Thermal Behaviour of DC Fuse." Energies 13, no. 14 (July 20, 2020): 3736. http://dx.doi.org/10.3390/en13143736.

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One of the very well-known protections for electrical apparatus against overloads or short circuits is the fuse. It can be used to protect both AC or DC electrical installations and it has also proven its effectiveness in the protection of different loads. This paper describes a three-dimensional model of a DC fuse with two different types of fuselink notches: circular and rhombic. The obtained 3D thermal model can be used to investigate the thermal behaviour of DC fuses in both steady-state and transient conditions at different values of overloads or short circuits. With the aim to validate the proposed 3D thermal model, a series of experimental tests have been achieved. The thermal simulated values are in good concordance with the experimental results (a relative error less than ±6% has been obtained between experimental and simulation data).

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Rao, Bing, Chen Zhou, Guoying Zhang, Ran Su, and Leyi Wei. "ACPred-Fuse: fusing multi-view information improves the prediction of anticancer peptides." Briefings in Bioinformatics 21, no. 5 (November 12, 2019): 1846–55. http://dx.doi.org/10.1093/bib/bbz088.

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Abstract Fast and accurate identification of the peptides with anticancer activity potential from large-scale proteins is currently a challenging task. In this study, we propose a new machine learning predictor, namely, ACPred-Fuse, that can automatically and accurately predict protein sequences with or without anticancer activity in peptide form. Specifically, we establish a feature representation learning model that can explore class and probabilistic information embedded in anticancer peptides (ACPs) by integrating a total of 29 different sequence-based feature descriptors. In order to make full use of various multiview information, we further fused the class and probabilistic features with handcrafted sequential features and then optimized the representation ability of the multiview features, which are ultimately used as input for training our prediction model. By comparing the multiview features and existing feature descriptors, we demonstrate that the fused multiview features have more discriminative ability to capture the characteristics of ACPs. In addition, the information from different views is complementary for the performance improvement. Finally, our benchmarking comparison results showed that the proposed ACPred-Fuse is more precise and promising in the identification of ACPs than existing predictors. To facilitate the use of the proposed predictor, we built a web server, which is now freely available via http://server.malab.cn/ACPred-Fuse.

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10

Norton, John D. "The burning fuse model of unbecoming in time." Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 52 (November 2015): 103–5. http://dx.doi.org/10.1016/j.shpsb.2014.07.004.

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11

Roux, S., A. Hansen, E. L. Hinrichsen, and D. Sornette. "Fuse model on a randomly diluted hierarchical lattice." Journal of Physics A: Mathematical and General 24, no. 7 (April 7, 1991): 1625–42. http://dx.doi.org/10.1088/0305-4470/24/7/033.

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12

Nukala, Phani Kumar V. V., Srdan imunovi, and Stefano Zapperi. "Percolation and localization in the random fuse model." Journal of Statistical Mechanics: Theory and Experiment 2004, no. 08 (August 12, 2004): P08001. http://dx.doi.org/10.1088/1742-5468/2004/08/p08001.

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Iping, Rosina C., George Sonneborn, and Derck L. Massa. "FUSE observations of Luminous Blue Variables." Symposium - International Astronomical Union 212 (2003): 208–9. http://dx.doi.org/10.1017/s0074180900212059.

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P Cyg, AG Car, HD 5980 and η Car were observed with the Far Ultraviolet Spectroscopic Explorer (FUSE) satellite. FUSE covers the spectral range from 980 Å to 1187 Å at a resolution of 0.05 Å. In this paper we discuss the far-UV properties of these LBVs and explore their similarities and differences. The FUSE observations of P Cyg and AG Car, both spectral type B2pe, are very similar. The atmospheres of both η Car and HD 5980 appear to be somewhat hotter and have much higher ionization stages (Si iv, S iv, and P v) in the FUSE spectrum than P Cyg and AG Car. There is a very good agreement between the FUSE spectrum of P Cygni and the model atmosphere computed by John Hillier with his code cmfgen. The FUSE spectrum of η Car, however, does not agree very well with existing model spectra.

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Szulborski, Michał, Sebastian Łapczyński, Łukasz Kolimas, Łukasz Kozarek, Desire Dauphin Rasolomampionona, Tomasz Żelaziński, and Adam Smolarczyk. "Transient Thermal Analysis of NH000 gG 100A Fuse Link Employing Finite Element Method." Energies 14, no. 5 (March 4, 2021): 1421. http://dx.doi.org/10.3390/en14051421.

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In this paper, a detailed three-dimensional, transient, finite element method of fuse link NH000 gG 100 A is proposed. The thermal properties during the operation of the fuses under nominal (100 A) and custom conditions (110 and 120 A) are the main focus of the analyses that were conducted. The work concerns both the outside elements of the fuse link (ceramic body) and the elements inside (current circuit). Both the distribution of the electric current and its impact on the temperature of the construction parts of the fuses during their operating mode have been described. Temperature distribution, power losses and energy dissipation were measured using a numerical model. In order to verify and validate the model, two independent teams of scientists executed experimental research, during which the temperature was measured on different parts of the device involving the rated current. Finally, the two sets of results were put together and compared with those obtained from the simulation tests. A possible significant correlation between the results of the empirical tests and the simulation work was highlighted.

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15

Costagliola, Gianluca, Federico Bosia, and Nicola M. Pugno. "Random fuse model in the presence of self-healing." New Journal of Physics 22, no. 3 (March 3, 2020): 033005. http://dx.doi.org/10.1088/1367-2630/ab713f.

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16

Petit, A., G. St-Jean, and G. Fecteau. "Empirical model of a current-limiting fuse using EMTP." IEEE Transactions on Power Delivery 4, no. 1 (1989): 335–41. http://dx.doi.org/10.1109/61.19221.

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Zapperi, Stefano, Phani Kumar V. V. Nukala, and Srđan Šimunović. "Crack avalanches in the three-dimensional random fuse model." Physica A: Statistical Mechanics and its Applications 357, no. 1 (November 2005): 129–33. http://dx.doi.org/10.1016/j.physa.2005.05.071.

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18

Bradley, R. M., and Kang Wu. "Crack propagation in a dynamic fuse model of electromigration." Journal of Physics A: Mathematical and General 27, no. 2 (January 21, 1994): 327–33. http://dx.doi.org/10.1088/0305-4470/27/2/017.

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19

Zapperi, Stefano, and Phani Kumar V. V. Nukala. "Fracture statistics in the three-dimensional random fuse model." International Journal of Fracture 140, no. 1-4 (July 2006): 99–111. http://dx.doi.org/10.1007/s10704-005-4659-3.

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20

Staudinger, M., K. Stahl, J. Seibert, M. P. Clark, and L. M. Tallaksen. "Comparison of hydrological model structures based on recession and low flow simulations." Hydrology and Earth System Sciences 15, no. 11 (November 17, 2011): 3447–59. http://dx.doi.org/10.5194/hess-15-3447-2011.

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Abstract. Low flows are often poorly reproduced by commonly used hydrological models, which are traditionally designed to meet peak flow situations. Hence, there is a need to improve hydrological models for low flow prediction. This study assessed the impact of model structure on low flow simulations and recession behaviour using the Framework for Understanding Structural Errors (FUSE). FUSE identifies the set of subjective decisions made when building a hydrological model and provides multiple options for each modeling decision. Altogether 79 models were created and applied to simulate stream flows in the snow dominated headwater catchment Narsjø in Norway (119 km2). All models were calibrated using an automatic optimisation method. The results showed that simulations of summer low flows were poorer than simulations of winter low flows, reflecting the importance of different hydrological processes. The model structure influencing winter low flow simulations is the lower layer architecture, whereas various model structures were identified to influence model performance during summer.

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Staudinger, M., K. Stahl, J. Seibert, M. P. Clark, and L. M. Tallaksen. "Comparison of hydrological model structures based on recession and low flow simulations." Hydrology and Earth System Sciences Discussions 8, no. 4 (July 13, 2011): 6833–66. http://dx.doi.org/10.5194/hessd-8-6833-2011.

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Abstract. Low flows are often poorly reproduced by commonly used hydrological models, which are traditionally designed to meet peak flow situations. Hence, there is a need to improve hydrological models for low flow prediction. This study assessed the impact of model structure on low flow simulations and recession behaviour using the Framework for Understanding Structural Errors (FUSE). FUSE identifies the set of subjective decisions made when building a hydrological model, and provides multiple options for each modeling decision. Altogether 79 models were created and applied to simulate stream flows in the snow dominated headwater catchment Narsjø in Norway (119 km2). All models were calibrated using an automatic optimisation method. The results showed that simulations of summer low flows were poorer than simulations of winter low flows, reflecting the importance of different hydrological processes. The model structure influencing winter low flow simulations is the lower layer architecture, whereas various model structures were identified to influence model performance during summer.

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Melloy, Patricia, Shu Shen, Erin White, J. Richard McIntosh, and Mark D. Rose. "Nuclear fusion during yeast mating occurs by a three-step pathway." Journal of Cell Biology 179, no. 4 (November 19, 2007): 659–70. http://dx.doi.org/10.1083/jcb.200706151.

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In Saccharomyces cerevisiae, mating culminates in nuclear fusion to produce a diploid zygote. Two models for nuclear fusion have been proposed: a one-step model in which the outer and inner nuclear membranes and the spindle pole bodies (SPBs) fuse simultaneously and a three-step model in which the three events occur separately. To differentiate between these models, we used electron tomography and time-lapse light microscopy of early stage wild-type zygotes. We observe two distinct SPBs in ∼80% of zygotes that contain fused nuclei, whereas we only see fused or partially fused SPBs in zygotes in which the site of nuclear envelope (NE) fusion is already dilated. This demonstrates that SPB fusion occurs after NE fusion. Time-lapse microscopy of zygotes containing fluorescent protein tags that localize to either the NE lumen or the nucleoplasm demonstrates that outer membrane fusion precedes inner membrane fusion. We conclude that nuclear fusion occurs by a three-step pathway.

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Lin, Jia Xuan, Zhen Sen Wu, Xiang Su, and Biao Wang. "Simulation of Laser Beam Scattering from Complex Targets in the near Field." Advanced Materials Research 571 (September 2012): 332–36. http://dx.doi.org/10.4028/www.scientific.net/amr.571.332.

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A model of laser fuse echo simulation based on radiometry is developed. Process of target/beam interaction is determined by target surface optical scattering properties, which can be characterized by bidirectional reflectivity distribution function (BRDF). Signal features of the near-zone echo wave scattered from complex target are analyzed. The results may provide reference for algorithm design of laser proximity fuse. The simulator has been successfully applied in semi-physical simulation of the fuse.

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Saqib, Muhammad A., Anthony D. Stokes, Brian W. James, and Ian S. Falconer. "Estimating arc temperature in a model high breaking capacity fuse." Australian Journal of Electrical and Electronics Engineering 1, no. 1 (January 2004): 41–50. http://dx.doi.org/10.1080/1448837x.2004.11464090.

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Bradley, R. Mark, and Kang Wu. "Dynamic fuse model for electromigration failure of polycrystalline metal films." Physical Review E 50, no. 2 (August 1, 1994): R631—R634. http://dx.doi.org/10.1103/physreve.50.r631.

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DiGiacomo, Daniela K., Katie Van Horne, and William R. Penuel. "Choice and interest in designed learning environments: the case of FUSE Studios." Information and Learning Sciences 121, no. 3/4 (March 27, 2020): 137–54. http://dx.doi.org/10.1108/ils-09-2019-0098.

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Purpose Empirical investigation into the e-learning innovation, FUSE Studios, is both timely and relevant because FUSE is rapidly expanding domestically and abroad and there is continued interest in the interdisciplinary fields of information and learning sciences in the constructs of choice and interest as they relate to the provision and design of learning experiences. In particular, this paper aims to contribute to scholarly and design-based conversations on how e-learning innovations – especially those situated within the digital youth and constructionism strands of research – can be designed in ways that support robust opportunities for learning for young people (Reynolds et al., 2019). Design/methodology/approach Drawing upon a large corpus of mixed-methods data including computer-generated activity log data, youth survey data and studio facilitator interview data, this paper examines patterns of use and interest-related experience among young people in a range of FUSE Studios settings across the USA. Findings The results suggest that student choice within FUSE’s curricular and Studio model tends to support a broad exploration of interests across a wide range of youth, rather than a deep dive into particular Science, Technology, Engineering, Arts, and Mathematics (STEAM) content areas. Practical implications Alongside the broad exploration that was found to characterize the patterns of student choice in FUSE Studios, a striking number of students from those surveyed reported that FUSE supported their interest development: they liked the FUSE challenges, were always able to find something of interest to do in the FUSE Studios and saw the FUSE challenges are supportive of their current and future interests. (See similar findings in Stevens et al., 2016). We understand these student self-reported experiences as evidence that the FUSE Studios model did well to encourage meaningful, interest-driven learning experiences for youth. Originality/value Committed to making research usable for practice, this paper offers implications for future e-learning designs that seek to make choice and interest central to the organization of activity and environment.

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Lanz, Thierry, Ivan Hubeny, and Sara R. Heap. "NLTE Line-Blanketed Model Stellar Atmospheres." Symposium - International Astronomical Union 210 (2003): 67–79. http://dx.doi.org/10.1017/s0074180900133261.

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We briefly review the assumptions and methods required to construct NLTE line-blanketed model atmospheres of hot stars. We describe our new grid of NLTE model atmospheres covering the parameter range of O stars at various metallicities. We have applied these new models to the analysis of HST/STIS and FUSE UV spectra of O stars in the SMC. This analysis leads us to revise down the effective temperature scale of O-type stars.

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Chen, Hongyan, Gengxing Zhao, Li Sun, Ruiyan Wang, and Yaqiu Liu. "Prediction of Soil Salinity Using Near-Infrared Reflectance Spectroscopy with Nonnegative Matrix Factorization." Applied Spectroscopy 70, no. 9 (August 26, 2016): 1589–97. http://dx.doi.org/10.1177/0003702816662605.

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As a key, yet difficult, issue currently in the quantitative remote sensing analysis of soil, the accurate and stable monitoring of soil salinity content (SSC) in situ should be studied and improved. The purpose of this study is to explore the method of fusing spectra outdoors with spectra indoors and improve the estimation precision of SSC based on near-infrared (NIR) reflectance hyper-spectra. First, samples of saline soil from the Yellow River delta of China were collected and analyzed. We measured three groups of sample spectra using a spectrometer: (1) situ-spectra, measured at sampling points in situ; (2) out-spectra, measured outdoors on air-dried samples; and, (3) lab-spectra, measured in a dark laboratory with the above air-dried samples. Second, four algorithms (multiplicative update, alternating least-squares, sparse affine non-negative matrix factorization (NMF), and gradient projection algorithms) of NMF were used to fuse the situ-spectra or out-spectra with the lab-spectra for the calibration of SSC. Finally, estimation models of SSC were built using the multiple linear regression method based on the first derivatives of the un-fused and fused spectra. The results indicate that using the NMF method to fuse the situ-spectra or out-spectra with the lab-spectra can heighten the correlation between SSC and the outdoor spectra in most wavelength ranges and improve the accuracy of the prediction model. The gradient projection algorithm shows the best performance with fewer variables and highest accuracy of the SSC model based on the NIR spectra.

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Shuto, Yoshito. "Cavity Formation Modeling of Fiber Fuse in Single-Mode Optical Fibers." Advances in OptoElectronics 2017 (May 14, 2017): 1–11. http://dx.doi.org/10.1155/2017/5728186.

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The evolution of a fiber-fuse phenomenon in a single-mode optical fiber was studied theoretically. To clarify both the silica-glass densification and cavity formation, which have been observed in fiber fuse propagation, we investigated a nonlinear oscillation model using the Van Der Pol equation. This model was able to phenomenologically explain both the densification of the core material and the formation of periodic cavities in the core layer as a result of a relaxation oscillation.

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Auliah, Firda Nurul, Andi Nur Nilamyani, Watshara Shoombuatong, Md Ashad Alam, Md Mehedi Hasan, and Hiroyuki Kurata. "PUP-Fuse: Prediction of Protein Pupylation Sites by Integrating Multiple Sequence Representations." International Journal of Molecular Sciences 22, no. 4 (February 20, 2021): 2120. http://dx.doi.org/10.3390/ijms22042120.

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Pupylation is a type of reversible post-translational modification of proteins, which plays a key role in the cellular function of microbial organisms. Several proteomics methods have been developed for the prediction and analysis of pupylated proteins and pupylation sites. However, the traditional experimental methods are laborious and time-consuming. Hence, computational algorithms are highly needed that can predict potential pupylation sites using sequence features. In this research, a new prediction model, PUP-Fuse, has been developed for pupylation site prediction by integrating multiple sequence representations. Meanwhile, we explored the five types of feature encoding approaches and three machine learning (ML) algorithms. In the final model, we integrated the successive ML scores using a linear regression model. The PUP-Fuse achieved a Mathew correlation value of 0.768 by a 10-fold cross-validation test. It also outperformed existing predictors in an independent test. The web server of the PUP-Fuse with curated datasets is freely available.

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Zhao, Yuqing, Guangyuan Fu, Hongqiao Wang, and Shaolei Zhang. "The Fusion of Unmatched Infrared and Visible Images Based on Generative Adversarial Networks." Mathematical Problems in Engineering 2020 (March 20, 2020): 1–12. http://dx.doi.org/10.1155/2020/3739040.

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Visible images contain clear texture information and high spatial resolution but are unreliable under nighttime or ambient occlusion conditions. Infrared images can display target thermal radiation information under day, night, alternative weather, and ambient occlusion conditions. However, infrared images often lack good contour and texture information. Therefore, an increasing number of researchers are fusing visible and infrared images to obtain more information from them, which requires two completely matched images. However, it is difficult to obtain perfectly matched visible and infrared images in practice. In view of the above issues, we propose a new network model based on generative adversarial networks (GANs) to fuse unmatched infrared and visible images. Our method generates the corresponding infrared image from a visible image and fuses the two images together to obtain more information. The effectiveness of the proposed method is verified qualitatively and quantitatively through experimentation on public datasets. In addition, the generated fused images of the proposed method contain more abundant texture and thermal radiation information than other methods.

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Tsitouridis, I., G. Tezapsidis, A. Manolitsas, F. Goutsaridou, P. Papapostolou, S. Chondromatidou, M. Emmanouilidou, L. Tarazi, and C. Papastergiou. "Fusion of CT and MR 3D Models in Patients with Brain Tumours." Rivista di Neuroradiologia 18, no. 5-6 (December 2005): 546–54. http://dx.doi.org/10.1177/197140090501800504.

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We describe the process we use fuse CT and MRI images in patients with brain tumours and evaluate the utility of the fused 3D models. We scanned 11 patients with various brain tumours using both CT and MRI. CT and MR images were registered using an automatic algorithm. The images from CT were segmented and three dimensional models of the bone structures were produced. The images from MRI were segmented and three dimensional models of brain only and tumour only were produced. The three dimensional models were fused into one model which included bone structures from CT and brain and tumor from MRI. The registration and fusion of 3D models was completed successfully. in ten patients. Registration was unsuccessful in one patient due to movement artifacts in MR images. The fused 3D models were better at depicting the relationship between bone, brain and lesion than conventional display of different imaging modalities alone. This information can be used in daily clinical practice such as radiotherapy treatment planning or surgery or in basic clinical research.

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Lee, Sei-Hyun. "Application of high voltage current limiting fuse model using ATP-draw." IEEE Transactions on Dielectrics and Electrical Insulation 17, no. 6 (December 2010): 1806–13. http://dx.doi.org/10.1109/tdei.2010.5658232.

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Marsman, Albert W., Cees M. Hart, Gerwin H. Gelinck, Tom C. T. Geuns, and Dagobert M. de Leeuw. "Doped polyaniline polymer fuses: Electrically programmable read-only-memory elements." Journal of Materials Research 19, no. 7 (July 2004): 2057–60. http://dx.doi.org/10.1557/jmr.2004.0257.

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We demonstrate polymeric electrically programmable read-only-memory elements based on camphorsulfonic-acid–doped polyaniline lines. Their working mechanism relies on irreversible reduction of the electrical conductivity by Joule heating like electrical safety fuses. The heating power is supplied electrically. The critical power required to “blow up” the fuse is strongly reduced by notches. The influence of the notch design can be predicted reasonably well using a simple thermal model. The critical power becomes less than 1 mW for fuses with notches narrower than 2 μm. This power can be delivered by organic transistors already at modest voltages, opening the way of integration of these memory elements in all-polymer circuits.

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Du, Qinglei, Han Xu, Yong Ma, Jun Huang, and Fan Fan. "Fusing Infrared and Visible Images of Different Resolutions via Total Variation Model." Sensors 18, no. 11 (November 8, 2018): 3827. http://dx.doi.org/10.3390/s18113827.

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In infrared and visible image fusion, existing methods typically have a prerequisite that the source images share the same resolution. However, due to limitations of hardware devices and application environments, infrared images constantly suffer from markedly lower resolution compared with the corresponding visible images. In this case, current fusion methods inevitably cause texture information loss in visible images or blur thermal radiation information in infrared images. Moreover, the principle of existing fusion rules typically focuses on preserving texture details in source images, which may be inappropriate for fusing infrared thermal radiation information because it is characterized by pixel intensities, possibly neglecting the prominence of targets in fused images. Faced with such difficulties and challenges, we propose a novel method to fuse infrared and visible images of different resolutions and generate high-resolution resulting images to obtain clear and accurate fused images. Specifically, the fusion problem is formulated as a total variation (TV) minimization problem. The data fidelity term constrains the pixel intensity similarity of the downsampled fused image with respect to the infrared image, and the regularization term compels the gradient similarity of the fused image with respect to the visible image. The fast iterative shrinkage-thresholding algorithm (FISTA) framework is applied to improve the convergence rate. Our resulting fused images are similar to super-resolved infrared images, which are sharpened by the texture information from visible images. Advantages and innovations of our method are demonstrated by the qualitative and quantitative comparisons with six state-of-the-art methods on publicly available datasets.

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Charoenkwan, Phasit, Chanin Nantasenamat, Md Mehedi Hasan, Mohammad Ali Moni, Pietro Lio’, and Watshara Shoombuatong. "iBitter-Fuse: A Novel Sequence-Based Bitter Peptide Predictor by Fusing Multi-View Features." International Journal of Molecular Sciences 22, no. 16 (August 19, 2021): 8958. http://dx.doi.org/10.3390/ijms22168958.

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Accurate identification of bitter peptides is of great importance for better understanding their biochemical and biophysical properties. To date, machine learning-based methods have become effective approaches for providing a good avenue for identifying potential bitter peptides from large-scale protein datasets. Although few machine learning-based predictors have been developed for identifying the bitterness of peptides, their prediction performances could be improved. In this study, we developed a new predictor (named iBitter-Fuse) for achieving more accurate identification of bitter peptides. In the proposed iBitter-Fuse, we have integrated a variety of feature encoding schemes for providing sufficient information from different aspects, namely consisting of compositional information and physicochemical properties. To enhance the predictive performance, the customized genetic algorithm utilizing self-assessment-report (GA-SAR) was employed for identifying informative features followed by inputting optimal ones into a support vector machine (SVM)-based classifier for developing the final model (iBitter-Fuse). Benchmarking experiments based on both 10-fold cross-validation and independent tests indicated that the iBitter-Fuse was able to achieve more accurate performance as compared to state-of-the-art methods. To facilitate the high-throughput identification of bitter peptides, the iBitter-Fuse web server was established and made freely available online. It is anticipated that the iBitter-Fuse will be a useful tool for aiding the discovery and de novo design of bitter peptides.

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Wang, Pang-wei, Hong-bin Yu, Lin Xiao, and Li Wang. "Online Traffic Condition Evaluation Method for Connected Vehicles Based on Multisource Data Fusion." Journal of Sensors 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/7248189.

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With the development of connected vehicle (CV) and Vehicle to X (V2X) communication, more traffic data is being collected from the road network. In order to predict future traffic condition from connected vehicles’ data in real-time, we present an online traffic condition evaluation model utilizing V2X communication. This model employs the Analytic Hierarchy Process (AHP) and the multilevel fuzzy set theory to fuse multiple sources of information for prediction. First, the contemporary vehicle data from the On Board Diagnostic (OBD) is fused with the static road data in the Road Side Unit (RSU). Then, the real-time traffic evaluation scores are calculated using the variable membership model. The real data collected by OBU in field test demonstrates the feasibility of the evaluation model. Compared with traditional evaluation systems, the proposed model can handle more types of data but demands less data transfer.

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Wang, Nian Yi, Wei Lan Wang, and Xiao Ran Guo. "A New Image Fusion Method Based on Improved PCNN and Multiscale Decomposition." Advanced Materials Research 834-836 (October 2013): 1011–15. http://dx.doi.org/10.4028/www.scientific.net/amr.834-836.1011.

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A new image fusion algorithm based on nonsubsampled contourlet transform and spiking cortical model is proposed in this paper. Considering the human visual system characteristics, two different fusion rules are used to fuse the low and high frequency sub-bands of nonsubsampled contourlet transform respectively. A new maximum selection rule is defined to fuse low frequency coefficients. Spatial frequency is used for the fusion rule of high frequency coefficients. Experimental results demonstrate the effectiveness of the proposed fusion method.

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Zhang, Ruixue, Yaping Gong, and Anran Li. "Fuse and Fracture? A Dual-Pathway Model of Proactive Personality and Ostracism." Academy of Management Proceedings 2020, no. 1 (August 2020): 10086. http://dx.doi.org/10.5465/ambpp.2020.10086abstract.

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Schmocker, Lukas, Esther Höck, Pierre André Mayor, and Volker Weitbrecht. "Hydraulic Model Study of the Fuse Plug Spillway at Hagneck Canal, Switzerland." Journal of Hydraulic Engineering 139, no. 8 (August 2013): 894–904. http://dx.doi.org/10.1061/(asce)hy.1943-7900.0000733.

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Narayan, K., K. Behdinan, and P. Vanderpol. "An equivalent uniaxial fatigue stress model for analyzing landing gear fuse pins." Strength of Materials 38, no. 3 (May 2006): 278–88. http://dx.doi.org/10.1007/s11223-006-0041-6.

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Lu, Ting, Yan Xiang, Junge Liang, Li Zhang, and Mingfang Zhang. "Fusion of part-of-speech vectors and attention mechanisms for cross-domain sentiment analysis." Journal of Intelligent & Fuzzy Systems 40, no. 5 (April 22, 2021): 8981–89. http://dx.doi.org/10.3233/jifs-201295.

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The grand challenge of cross-domain sentiment analysis is that classifiers trained in a specific domain are very sensitive to the discrepancy between domains. A sentiment classifier trained in the source domain usually have a poor performance in the target domain. One of the main strategies to solve this problem is the pivot-based strategy, which regards the feature representation as an important component. However, part-of-speech information was not considered to guide the learning of feature representation and feature mapping in previous pivot-based models. Therefore, we present a fused part-of-speech vectors and attention-based model (FAM). In our model, we fuse part-of-speech vectors and feature word embeddings as the representation of features, giving deep semantics to mapping features. And we adopt Multi-Head attention mechanism to train the cross-domain sentiment classifier to obtain the connection between different features. The results of 12 groups comparative experiments on the Amazon dataset demonstrate that our model outperforms all baseline models in this paper.

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Pindado, Santiago, Daniel Alcala-Gonzalez, Daniel Alfonso-Corcuera, Eva M. García del Toro, and María Isabel Más-López. "Improving the Power Supply Performance in Rural Smart Grids with Photovoltaic DG by Optimizing Fuse Selection." Agronomy 11, no. 4 (March 25, 2021): 622. http://dx.doi.org/10.3390/agronomy11040622.

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The recent increase in the use of renewable sources in electrical systems has transformed the electrical distribution network with the subsequent implementation of the distributed generation (DG) concept. The high penetration level of photovoltaic units increases their injected fault current that may result in a lack of coordination of fuse reclosers in distribution networks. One of the main protection devices that is generally used in rural distribution networks is the fuse. A correct size selection is key for ensuring good operation and coordination with other protection devices. The DG implementation makes the selection above more difficult, as the current flow both in steady state and in case of short-circuit is subject to alterations. A new protection fuse selection method for distribution networks with implemented DG is proposed in this paper with the aim of ensuring an effective coordination between them, avoiding untimely behaviors. Different case studies have been analyzed (for diverse locations of DG in the network with various penetration levels which represent 25%, 50%, 75%, and 100% of the total installed load), using an IEEE 13-node test feeder. Besides, a new model to analyze fuse performance is proposed in this work. This model has proven to fit the manufacturer’s data well, with a maximum error of 2% within the normal trip current values.

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Buaya, A. T., and M. Thines. "Bolbea parasitica gen. et sp. nov., a cultivable holocarpic parasitoid of the early-diverging Saprolegniomycetes." Fungal Systematics and Evolution 6, no. 1 (December 15, 2020): 129–37. http://dx.doi.org/10.3114/fuse.2020.06.07.

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Holocarpic oomycetes convert their entire cytoplasm into zoospores and thus do not form dedicated sporangia or hyphal compartments for asexual reproduction. The majority of holocarpic oomycetes are obligate parasites and parasitoids of a diverse suite of organisms, among them green and red algae, brown seaweeds, diatoms, fungi, oomycetes and invertebrates. Most of them are found among the early diverging oomycetes or the Peronosporomycetes, and some in the early-diverging Saprolegniomycetes (Leptomitales). The obligate parasitism renders it difficult to study some of these organisms. Only a few members of the genus Haliphthoros s. l. have been cultured without their hosts, and of the parasitoid Leptomitales, some transient cultures have been established, which are difficult to maintain. Here, the cultivation of a new holocarpic oomycete genus of the Leptomitales, Bolbea, is presented. Bolbea is parasitic to ostracods, is readily cultivable on malt extract agar, and upon contact with water converts its cytoplasm into zoospores. Its morphology and phylogenetic relationships are reported. Due to the ease of cultivation and the ready triggering of zoospore development, similar to some lagenidiaceous oomycetes, the species could be a promising model to study sporulation processes in detail.

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Ke, Hong Chang, Hui Wang, and Hong Yu Li. "An Attention Target Detection Method Based on Dynamic Saliency Map." Advanced Materials Research 308-310 (August 2011): 574–78. http://dx.doi.org/10.4028/www.scientific.net/amr.308-310.574.

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Thinking of the characteristics of the human visual system, proposed a target detection model of attention mechanism which was based on dynamic saliency map. This method improved classical visual attention calculation model, extracted the static characteristics of intensity, color and orientation, and selected different parameters to fuse into a static saliency map which was based on different target on scenarios. Using differential filter method to extract the dynamic features of two images, and fused different scales feature maps into the dynamic saliency map. At the end, with modified factor modify two saliency map, and fused into the basic image with which detected the moving targets. This method simulated human’s attention mechanism, extracted different scales features with strong processing and analysis capacity. Experimental results show that the method can quickly and accurately detect moving target, can effectively meet the single target detection and multi-target detection.

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Tran, T. A., V. Raghavan, S. Masumoto, P. Vinayaraj, and G. Yonezawa. "A geomorphology based approach for digital elevation model fusion – case study in Danang City, Vietnam." Earth Surface Dynamics Discussions 2, no. 1 (April 28, 2014): 255–96. http://dx.doi.org/10.5194/esurfd-2-255-2014.

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Abstract. Global Digital Elevation Model (DEM) is considered as vital spatial information and finds wide use in several applications. Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global DEM (GDEM) and Shuttle Radar Topographic Mission (SRTM) DEM offer almost global coverage and provide elevation data for geospatial analysis. However, GDEM and SRTM still contain some height errors that affect the quality of elevation data significantly. This study aims to examine methods to improve the resolution as well as accuracy of available free DEMs by data fusion technique and evaluating the results with high quality reference DEM. The DEM fusion method is based on the accuracy assessment of each global DEM and geomorphological characteristics of the study area. Land cover units were also considered to correct the elevation of GDEM and SRTM with respect to the bare earth surface. Weighted averaging method was used to fuse the input DEMs based on landform classification map. According to the landform types, the different weights were used for GDEM and SRTM. Finally, a denoising algorithm (Sun et al., 2007) was applied to filter the output fused DEM. This fused DEM shows excellent correlation to the reference DEM having correlation coefficient R2 = 0.9986 and the accuracy was also improved from Root Mean Square Error (RMSE) 14.9 m in GDEM and 14.8 m in SRTM into 11.6 m in fused DEM.

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Cheng, Qiuyun, Yun Ke, and Ahmed Abdelmouty. "Negative emotion diffusion and intervention countermeasures of social networks based on deep learning." Journal of Intelligent & Fuzzy Systems 39, no. 4 (October 21, 2020): 4935–45. http://dx.doi.org/10.3233/jifs-179979.

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Aiming at the limitation of using only word features in traditional deep learning sentiment classification, this paper combines topic features with deep learning models to build a topic-fused deep learning sentiment classification model. The model can fuse topic features to obtain high-quality high-level text features. Experiments show that in binary sentiment classification, the highest classification accuracy of the model can reach more than 90%, which is higher than that of commonly used deep learning models. This paper focuses on the combination of deep neural networks and emerging text processing technologies, and improves and perfects them from two aspects of model architecture and training methods, and designs an efficient deep network sentiment analysis model. A CNN (Convolutional Neural Network) model based on polymorphism is proposed. The model constructs the CNN input matrix by combining the word vector information of the text, the emotion information of the words, and the position information of the words, and adjusts the importance of different feature information in the training process by means of weight control. The multi-objective sample data set is used to verify the effectiveness of the proposed model in the sentiment analysis task of related objects from the classification effect and training performance.

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Wu, Chenfei, Jinlai Liu, Xiaojie Wang, and Ruifan Li. "Differential Networks for Visual Question Answering." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 8997–9004. http://dx.doi.org/10.1609/aaai.v33i01.33018997.

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The task of Visual Question Answering (VQA) has emerged in recent years for its potential applications. To address the VQA task, the model should fuse feature elements from both images and questions efficiently. Existing models fuse image feature element vi and question feature element qi directly, such as an element product viqi. Those solutions largely ignore the following two key points: 1) Whether vi and qi are in the same space. 2) How to reduce the observation noises in vi and qi. We argue that two differences between those two feature elements themselves, like (vi − vj) and (qi −qj), are more probably in the same space. And the difference operation would be beneficial to reduce observation noise. To achieve this, we first propose Differential Networks (DN), a novel plug-and-play module which enables differences between pair-wise feature elements. With the tool of DN, we then propose DN based Fusion (DF), a novel model for VQA task. We achieve state-of-the-art results on four publicly available datasets. Ablation studies also show the effectiveness of difference operations in DF model.

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Chen, Qiang, and Yong Mei Yu. "3D CAD Model Retrieval Based on Feature Fusion." Advanced Materials Research 765-767 (September 2013): 316–19. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.316.

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Existing 3D model retrieval techniques focus on the global feature more than local detailed feature are not applicable to 3D CAD models. This paper combines the local feature and global feature to satisfy the needs of mechanical design. We first analyze the limitations of Shape Description (SD) algorithm. Then propose an automatic feature extraction technology based on the local characteristics of the curvature distribution. Next we fuse the extracted feature using a novel method. Lastly, we design an improved K-nearest neighbor algorithm to retrieve models. Experimental results indicate the efficiency and feasibility of the proposed method.

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Chen, Yutao, Shuzhen Zhu, and Haoyuan He. "The Influence of Investor Emotion on the Stock Market: Evidence from an Infectious Disease Model." Discrete Dynamics in Nature and Society 2021 (June 17, 2021): 1–12. http://dx.doi.org/10.1155/2021/5520276.

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In March 2020, four consecutive circuit breakers in the US stock market underscored the impact of investor sentiment on the stock market. With the development of technology, public opinion and other information now spread easily through social media and other channels, indirectly affecting investor sentiment. This makes it important to understand the underlying dynamics of such situations to help manage the market impact of such events going forward. To that end, we analyze investor sentiment, investor structures, and the capital market fuse mechanism using infectious disease dynamics. We use an extension of the SIR (susceptible, infectious, and recovered) model, called the dynamic SIRS model (where individuals return to a susceptible state), to simulate the impact of investor sentiment on the stock market. Accordingly, we study the circuit breakers in the US stock market and the simulation results of the model to analyze the fuse mechanism process in China that triggers a pause in the market based on volatile trading. The results of our study show that when the influence rate of investor mutual communication increases or when the emotional calm rate decreases, investor emotions will start to diffuse, leading to an increase in the probability of either a serious stampede or zealous overbuying in the stock market. At the same time, the trading frequency of investors and the ratio of investors in both buying and selling directions will have a certain formal impact on the direction of the stock market, with the final impact determined by the ratio of normal investors to emotional investors. When emotional investors dominate the market, their emotions are diffused throughout. Our study provides the reference for relevant agencies to monitor and improve the stock market fuse mechanism in the future.

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Journal articles on the topic 'Fuse model'

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