Relevant bibliographies by topics / GNCAP

Academic literature on the topic 'GNCAP'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "GNCAP"

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Zeng, Shaofeng, Yujian Li, and Zhaoying Liu. "GNCCP Learning Graph Matching." Journal of Computer-Aided Design & Computer Graphics 30, no. 6 (2018): 1008. http://dx.doi.org/10.3724/sp.j.1089.2018.16582.

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Sun, Hongchun, Yiju Wang, Houchun Zhou, and Shengjie Li. "An Improvement of Global Error Bound for the Generalized Nonlinear Complementarity Problem over a Polyhedral Cone." Abstract and Applied Analysis 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/596067.

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We consider the global error bound for the generalized nonlinear complementarity problem over a polyhedral cone (GNCP). By a new technique, we establish an easier computed global error bound for the GNCP under weaker conditions, which improves the result obtained by Sun and Wang (2013) for GNCP.
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Sun, Hongchun, and Yiju Wang. "A Sharper Global Error Bound for the Generalized Nonlinear Complementarity Problem over a Polyhedral Cone." Abstract and Applied Analysis 2013 (2013): 1–13. http://dx.doi.org/10.1155/2013/209340.

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We revisit the global error bound for the generalized nonlinear complementarity problem over a polyhedral cone (GNCP). By establishing a new equivalent formulation of the GNCP, we establish a sharper global error bound for the GNCP under weaker conditions, which improves the existing error bound estimation for the problem.
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Liu, Zhi-Yong, and Hong Qiao. "GNCCP—Graduated NonConvexityand Concavity Procedure." IEEE Transactions on Pattern Analysis and Machine Intelligence 36, no. 6 (June 2014): 1258–67. http://dx.doi.org/10.1109/tpami.2013.223.

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Sun, Hongchun, and Yiju Wang. "Global Error Bound Estimation for the Generalized Nonlinear Complementarity Problem over a Closed Convex Cone." Journal of Applied Mathematics 2012 (2012): 1–11. http://dx.doi.org/10.1155/2012/245458.

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The global error bound estimation for the generalized nonlinear complementarity problem over a closed convex cone (GNCP) is considered. To obtain a global error bound for the GNCP, we first develop an equivalent reformulation of the problem. Based on this, a global error bound for the GNCP is established. The results obtained in this paper can be taken as an extension of previously known results.
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Yang, Xu, Hong Qiao, and Zhi-Yong Liu. "Outlier robust point correspondence based on GNCCP." Pattern Recognition Letters 55 (April 2015): 8–14. http://dx.doi.org/10.1016/j.patrec.2014.12.011.

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Lóránt, Bálint, Krisztina László, and Gábor Márk Tardy. "Improving the Performance of Microbial Fuel Cells with Modified Carbon Aerogel Based Cathode Catalysts." Periodica Polytechnica Chemical Engineering 66, no. 1 (November 26, 2021): 1–9. http://dx.doi.org/10.3311/ppch.18854.

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Microbial fuel cells (MFCs) are capable of converting the chemical energy of biodegradable organic matter directly into electricity, thus they can be applied in various fields: waste elimination, biosensor industry and production of renewable energy. In this study, the efficiency of noble metal free carbon aerogel based cathode catalysts was investigated and compared to plain glassy carbon cloth without catalyst (CC ) and platinum containing carbon powder catalyst ( PtC ) in H-type MFCs. Surface extension by carbon aerogel (CA ) enhanced the maximum power density by 34 % compared to CC, to 14.1 W m−3. With nitrogen doped carbon aerogel (NCA) the performance was further increased to 15.7 W m−3. Co-doping the resorcinol-melamine-formaldehyde based aerogel with graphene oxide (GNCA) resulted in an additional power increase of 70 %, indicating that the electrocatalytic activity of NCAs can be considerably improved by co-doping with graphene oxide. Although the performance of GNCA remained below that of PtC (50.2 W m−3) in our investigations, it can be concluded that GNCA based coatings may provide a noble metal free, and therefore competitive and sustainable alternatives for cathode catalysis in MFC based technologies.
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KE, YIFEN, and CHANGFENG MA. "A NEURAL NETWORK FOR THE GENERALIZED NONLINEAR COMPLEMENTARITY PROBLEM OVER A POLYHEDRAL CONE." Journal of the Australian Mathematical Society 99, no. 3 (October 30, 2015): 364–79. http://dx.doi.org/10.1017/s1446788715000300.

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In this paper, we consider a neural network model for solving the generalized nonlinear complementarity problem (denoted by GNCP) over a polyhedral cone. The neural network is derived from an equivalent unconstrained minimization reformulation of the GNCP, which is based on the penalized Fischer–Burmeister function ${\it\phi}_{{\it\mu}}(a,b)={\it\mu}{\it\phi}_{\mathit{FB}}(a,b)+(1-{\it\mu})a_{+}b_{+}$. We establish the existence and the convergence of the trajectory of the neural network, and study its Lyapunov stability, asymptotic stability and exponential stability. It is found that a larger ${\it\mu}$ leads to a better convergence rate of the trajectory. Simulation results are also reported.
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Vedachalam, Narayanaswamy. "Assessment of the Technological Maturity of Marine Autonomous Surface Ships." Marine Technology Society Journal 56, no. 4 (August 23, 2022): 43–58. http://dx.doi.org/10.4031/mtsj.56.4.16.

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Abstract Marine Autonomous Surface Ships (MASS) are gaining increasing attention due to the potential benefits of improving safety and efficiency. The paper presents the trends in the development of autonomous ships and reliability modeling carried out to assess the maturity of Guidance, Navigation, Control, Power and Propulsion (GNCPP) subsystems that are critical for safe and reliable operation of MASS. Based on the simulations with field-failure data as inputs, it is identified that a typical vessel GNCPP system can have a mean time to fail period of 1.2 years. The emergency shore support systems shall require a proof test interval of 22 days to comply with IEC61508 HSE Safety Integrity Level 3 of on-demand availability. The results could help in efficient maintenance planning and integrity management of the autonomous ship systems. The efforts required to realize situation-aware autonomous navigation technologies complying with stringent operational regulatory frameworks are also discussed.
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Harish, Omri, and David Golomb. "Control of the Firing Patterns of Vibrissa Motoneurons by Modulatory and Phasic Synaptic Inputs: A Modeling Study." Journal of Neurophysiology 103, no. 5 (May 2010): 2684–99. http://dx.doi.org/10.1152/jn.01016.2009.

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Vibrissa motoneurons (vMNs) generate rhythmic firing that controls whisker movements, even without cortical, cerebellar, or sensory inputs. vMNs receive serotonergic modulation from brain stem areas, which mainly increases their persistent sodium conductance ( gNaP) and, possibly, phasic input from a putative central pattern generator (CPG). In response to serotonergic modulation or just-suprathreshold current steps, vMNs fire at low rates, below the firing frequency of exploratory whisking. In response to periodic inputs, vMNs exhibit nonlinear suprathreshold resonance in frequency ranges of exploratory whisking. To determine how firing patterns of vMNs are determined by their 1) intrinsic ionic conductances and 2) responses to periodic input from a putative CPG and to serotonergic modulation, we construct and analyze a single-compartment, conductance-based model of vMNs. Low firing rates are supported in extended regimes by adaptation currents and the minimal firing rate decreases with gNaP and increases with M-potassium and h-cation conductances. Suprathreshold resonance results from the locking properties of vMN firing to stimuli and from reduction of firing rates at low frequencies by slow M and afterhyperpolarization potassium conductances. h conductance only slightly affects the suprathreshold resonance. When a vMN is subjected to a small periodic CPG input, serotonergically induced gNaP elevation may transfer the system from quiescence to a firing state that is highly locked to the CPG input. Thus we conclude that for vMNs, the CPG controls firing frequency and phase and enables bursting, whereas serotonergic modulation controls transitions from quiescence to firing unless the CPG input is sufficiently strong.
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Dissertations / Theses on the topic "GNCAP"

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TANEJA, ASHISH. "ANALYSIS OF CONSUMERS' PERCEPTION TOWARDS SAFETY WHILE PURCHASING A CAR." Thesis, 2015. http://dspace.dtu.ac.in:8080/jspui/handle/repository/17330.

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The automobile sector in India was established in 1980s with the advent of multinational automakers such as Suzuki, Toyota and Hyundai. As the liberalization began, many companies initiated JVs with incumbent Indian companies. Since then the number of automobile companies, offerings, price range, features and quality of offerings have seen multi fold increase. But it seems both the regulatory body and carmakers have overlooked to enhance the safety standards and features of cars produced in the nation. Deaths due to road accidents have been extremely high in India. Since 2006, 230000 people have died annually in India. The road deaths per year in India is more than any other nation. Hence, Indian automotive safety standards have drawn a lot of flak and are considered as insufficient and ineffective. Despite being the world's fifth largest car market, India is the only market among top ten global car markets without new car safety regulations or crash testing programs. GNCAP had to import some of the top selling Indian cars to expose the dismal safety levels of these cars. They tested popular Indian cars and reports showed how unsafe they are with high chances of major injuries to the occupants in case of a crash. After the GNCAP reports the government rose from slumber and instituted Bharat New Car Assessment Program which will give safety ratings to cars produced in India. These ratings will be based on performance of safety features installed in the car during crash tests. They will be enforced from late 2017 and Indian consumers will continue to be at risk till then. Carmakers said that their cars abide with the safety regulations of the country. The Indian regulation for crash test is the same as UN’s regulation for the crash test. But when GNCAP executed the crash tests based on UN regulation some of the cars failed miserably. The GNCAP crash test reports clearly raised a question mark on the safety regulations and its implementation in the country. Moreover, some of the cars tested are also exported to European countries and Japan. These countries have strict safety regulations and unsafe cars cannot be sold. This means that the cars exported meet the safety standards while those produced for domestic consumption are unsafe.
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Book chapters on the topic "GNCAP"

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Gaüzère, Benoît, Sébastien Bougleux, and Luc Brun. "Approximating Graph Edit Distance Using GNCCP." In Lecture Notes in Computer Science, 496–506. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49055-7_44.

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Andonov, Velin, and Nora Angelova. "Modifications of the Algorithms for Transition Functioning in GNs, GNCP, IFGNCP1 and IFGNCP3 When Merging of Tokens is Permitted." In Imprecision and Uncertainty in Information Representation and Processing, 275–88. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26302-1_17.

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"gnap, v." In Oxford English Dictionary. 3rd ed. Oxford University Press, 2023. http://dx.doi.org/10.1093/oed/2165310854.

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"gnap, n." In Oxford English Dictionary. 3rd ed. Oxford University Press, 2023. http://dx.doi.org/10.1093/oed/1366263733.

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Conference papers on the topic "GNCAP"

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Perrin, Christine. "Gnap gnap." In ACM SIGGRAPH 2006 Computer animation festival. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1179196.1179230.

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Zeng, Shaofeng, Yujian Li, Zhaoying Liu, and Too Edna. "Learning graph matching with GNCCP." In the 9th International Conference. New York, New York, USA: ACM Press, 2018. http://dx.doi.org/10.1145/3183586.3183608.

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