Relevant bibliographies by topics / Terminal attractor

Academic literature on the topic 'Terminal attractor'

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Published: 4 June 2021
Last updated: 4 February 2022

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Journal articles on the topic "Terminal attractor"

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Bianchini, M., S. Fanelli, M. Gori, and M. Maggini. "Terminal attractor algorithms: A critical analysis." Neurocomputing 15, no. 1 (April 1997): 3–13. http://dx.doi.org/10.1016/s0925-2312(96)00045-8.

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Lin, Xin, and Junji Ohtsubo. "Terminal attractor optical associative memory for pattern recognition." Optics & Laser Technology 29, no. 1 (February 1997): xiii. http://dx.doi.org/10.1016/s0030-3992(97)88158-3.

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Lin, Xin, Masahiko Mori, Junji Ohtsubo, and Masanobu Watanabe. "Terminal Attractor Optical Associative Memory for Pattern Recognition." Japanese Journal of Applied Physics 39, Part 1, No. 2B (February 28, 2000): 908–11. http://dx.doi.org/10.1143/jjap.39.908.

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Liu, Hua-Kuang, Jacob Barhen, and Nabil H. Farhat. "Optical implementation of terminal-attractor-based associative memory." Applied Optics 31, no. 23 (August 10, 1992): 4631. http://dx.doi.org/10.1364/ao.31.004631.

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Azar, Ahmad Taher, and Fernando E. Serrano. "Stabilization of Port Hamiltonian Chaotic Systems with Hidden Attractors by Adaptive Terminal Sliding Mode Control." Entropy 22, no. 1 (January 19, 2020): 122. http://dx.doi.org/10.3390/e22010122.

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In this study, the design of an adaptive terminal sliding mode controller for the stabilization of port Hamiltonian chaotic systems with hidden attractors is proposed. This study begins with the design methodology of a chaotic oscillator with a hidden attractor implementing the topological framework for its respective design. With this technique it is possible to design a 2-D chaotic oscillator, which is then converted into port-Hamiltonia to track and analyze these models for the stabilization of the hidden chaotic attractors created by this analysis. Adaptive terminal sliding mode controllers (ATSMC) are built when a Hamiltonian system has a chaotic behavior and a hidden attractor is detected. A Lyapunov approach is used to formulate the adaptive device controller by creating a control law and the adaptive law, which are used online to make the system states stable while at the same time suppressing its chaotic behavior. The empirical tests obtaining the discussion and conclusions of this thesis should verify the theoretical findings.
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Lin, Xin, Junji Ohtsubo, and Masahiko Mori. "Terminal attractor optical associative memory with adaptive control parameter." Optics Communications 151, no. 4-6 (June 1998): 353–65. http://dx.doi.org/10.1016/s0030-4018(98)00059-5.

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Diveev, A., and E. Sofronova. "Attractor property for terminal manifold in control synthesis problem." IOP Conference Series: Materials Science and Engineering 151 (October 2016): 012046. http://dx.doi.org/10.1088/1757-899x/151/1/012046.

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Lin, Xin, Junji Ohtsubo, and Masahiko Mori. "Capacity of optical associative memory using a terminal attractor model." Optics Communications 146, no. 1-6 (January 1998): 49–54. http://dx.doi.org/10.1016/s0030-4018(97)00497-5.

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Tian, Daxin, Jianshan Zhou, Honggang Qi, Yingrong Lu, Yunpeng Wang, Jian Wang, and Anping He. "A Bio-Inspired QoS-Oriented Handover Model in Heterogeneous Wireless Networks." Journal of Applied Mathematics 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/920123.

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We propose a bio-inspired model for making handover decision in heterogeneous wireless networks. It is based on an extended attractor selection model, which is biologically inspired by the self-adaptability and robustness of cellular response to the changes in dynamic environments. The goal of the proposed model is to guarantee multiple terminals’ satisfaction by meeting the QoS requirements of those terminals’ applications, and this model also attempts to ensure the fairness of network resources allocation, in the meanwhile, to enable the QoS-oriented handover decision adaptive to dynamic wireless environments. Some numerical simulations are preformed to validate our proposed bio-inspired model in terms of adaptive attractor selection in different noisy environments. And the results of some other simulations prove that the proposed handover scheme can adapt terminals’ network selection to the varying wireless environment and benefits the QoS of multiple terminal applications simultaneously and automatically. Furthermore, the comparative analysis also shows that the bio-inspired model outperforms the utility function based handover decision scheme in terms of ensuring a better QoS satisfaction and a better fairness of network resources allocation in dynamic heterogeneous wireless networks.
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Wu, Chwan-Hwa, and Hua-Kuang Liu. "Unipolar terminal-attractor-based neural associative memory with adaptive threshold and perfect convergence." Applied Optics 33, no. 11 (April 10, 1994): 2210. http://dx.doi.org/10.1364/ao.33.002210.

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Dissertations / Theses on the topic "Terminal attractor"

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Batbayar, Batsukh, and S3099885@student rmit edu au. "Improving Time Efficiency of Feedforward Neural Network Learning." RMIT University. Electrical and Computer Engineering, 2009. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20090303.114706.

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Feedforward neural networks have been widely studied and used in many applications in science and engineering. The training of this type of networks is mainly undertaken using the well-known backpropagation based learning algorithms. One major problem with this type of algorithms is the slow training convergence speed, which hinders their applications. In order to improve the training convergence speed of this type of algorithms, many researchers have developed different improvements and enhancements. However, the slow convergence problem has not been fully addressed. This thesis makes several contributions by proposing new backpropagation learning algorithms based on the terminal attractor concept to improve the existing backpropagation learning algorithms such as the gradient descent and Levenberg-Marquardt algorithms. These new algorithms enable fast convergence both at a distance from and in a close range of the ideal weights. In particular, a new fast convergence mechanism is proposed which is based on the fast terminal attractor concept. Comprehensive simulation studies are undertaken to demonstrate the effectiveness of the proposed backpropagataion algorithms with terminal attractors. Finally, three practical application cases of time series forecasting, character recognition and image interpolation are chosen to show the practicality and usefulness of the proposed learning algorithms with comprehensive comparative studies with existing algorithms.
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許景豪. "Applications of terminal attractors to multilayer feedforward neural networks." Thesis, 1991. http://ndltd.ncl.edu.tw/handle/58254973652580058032.

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Book chapters on the topic "Terminal attractor"

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Marin, F. J., F. Garcia, and F. Sandoval. "Global versus local Heuristic Terminal Attractor." In Lecture Notes in Computer Science, 505–12. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-59497-3_216.

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Bianchini, M., M. Gori, and M. Maggini. "Does Terminal Attractor Backpropagation Guarantee Global Optimization?" In ICANN ’94, 377–80. London: Springer London, 1994. http://dx.doi.org/10.1007/978-1-4471-2097-1_87.

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Reichhartinger, Markus, and Martin Horn. "Improved Position Control of a Mechanical System Using Terminal Attractors." In Mechanics and Model-Based Control of Advanced Engineering Systems, 247–54. Vienna: Springer Vienna, 2013. http://dx.doi.org/10.1007/978-3-7091-1571-8_27.

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Liu, Huichuan, Yong Zeng, Jiale Liu, Zhihong Liu, Jianfeng Ma, and Xiaoyan Zhu. "Perosonalized Differentially Private Location Collection Method with Adaptive GPS Discretization." In Communications in Computer and Information Science, 175–90. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4922-3_13.

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AbstractIn recent years, with the development of mobile terminals, geographic location has attracted the attention of many researchers because of its convenience in collection and its ability to reflect user profile. To protect user privacy, researchers have adopted local differential privacy in data collection process. However, most existing methods assume that location has already been discretized, which we found, if not done carefully, may introduces huge noise, lowering collected result utility. Thus in this paper, we design a differentially private location division module that could automatically discretize locations according to access density of each region. However, as the size of discretized regions may be large, if directly applying existing local differential privacy based attribute method, the overall utility of collected results may be completely destroyed. Thus, we further improve the optimized binary local hash method, based on personalized differential privacy, to collect user visit frequency of each discretized region. This solution improve the accuracy of the collected results while satisfying the privacy of the user’s geographic location. Through experiments on synthetic and real data sets, this paper proves that the proposed method achieves higher accuracy than the best known method under the same privacy budget.
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Laminu, Muhammad, Batula AbdulAzeez, and Sufian Yousef. "SIP-PMIP Cross-Layer Mobility Management Scheme." In Modern Software Engineering Methodologies for Mobile and Cloud Environments, 285–321. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9916-8.ch015.

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Heterogeneous networks have attracted a lot of interest due to its support provision for a large number of networks at an effective cost. Mobility Management also plays an important role in the heterogeneous network in providing a seamless mobility support for both devices and users, which poses a serious challenge. In this chapter, the researchers propose SIP-PMIP Cross-Layer Mobility Management in order to provide a seamless mobility in heterogeneous wireless networks. In effect, the researchers design a Cross-Layer Mobility Management Scheme, which can handle terminal, network, personal and session mobility. To demonstrate, video conferencing is included in the modeling, simulation and implementation of the module using Riverbed Modeler.
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Bao, Yiqin, and Zhengtang Sun. "Ad-Hoc Network Access Control System and Method for Edge NFC Terminal." In Machine Learning and Artificial Intelligence. IOS Press, 2020. http://dx.doi.org/10.3233/faia200803.

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With the rapid development of wireless communication technology, Near field communication (NFC) and Ad-Hoc network (ZigBee) have attracted wide attention for their security, speed and low power consumption. NFC has been used in access control research. In the past, the system only considered the switch control of the door lock, but could not achieve safety management in large building scenarios, resulting in security loopholes and poor maintenance of access control. In order to solve the above problems, Automatic networking access control system based on NFC and ZigBee technology is implemented. The access control and Internet of Things system (IoT) are fused through NFC. NFC identity information is transmitted through ZigBee to the management for identity authentication. The wireless transmission adopts the improved reduced AES advanced encryption algorithm R-AES, which ensures reliable data transmission. On this basis, the security of access control is realized. Practical results show that the Ad-Hoc network access control system and method for edge NFC terminal can improve the management efficiency and security of building access control.
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Leicester, Jonathan. "Belief, Consciousness, Attention." In What Beliefs Are Made From, 66–71. BENTHAM SCIENCE PUBLISHERS, 2016. http://dx.doi.org/10.2174/9781681082639116010008.

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A brief section on consciousness describes the different definitions the term has had, discusses the vexed issues of qualia, subjective experience, or mental events, and the explanatory gap, and announces the intention to take consciousness for granted and get on with the inquiry into the nature of belief. Attention is considered more fully, because it determines what we notice, which affects what we believe. There is deliberate attention and automatic attention, and a centre and periphery of attention. The factors that attract and terminate attention are discussed and illustrated.
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Wiedmann, Klaus-Peter, Marc-Oliver Reeh, and Henrik Schumacher. "Employment and Acceptance of Near Field Communication in Mobile Marketing." In Wireless Technologies, 1868–90. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-61350-101-6.ch709.

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Near Field Communication (NFC) is a short-distance wireless technology which allows user friendly networking of mobile terminals, e.g., cellular phones and PDAs, as it does with stationary units like Automated Teller Machines (ATM). Hardware producers, network operators and service providers are willing to implement NFC technologies in order to offer new services to their customers. The main goal is to increase the attraction of the underdeveloped areas of mobile commerce and make them more interesting for owners of mobile devices. If and how much real potential there is in NFC as a basic technology to really provide new impulses in mobile commerce and mobile marketing so that a higher acceptance can be reached are remaining open questions. This chapter tries to approach these questions and to provide possible answers by outlining relevant applicative examples and further configuration options of NFC technology as well as by discussing their acceptability.
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Wagner, Ralf, and Martin Klaus. "Mobile Direct Marketing." In Handbook of Research in Mobile Business, Second Edition, 269–81. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-156-8.ch025.

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The role of mobile terminals such as mobile telephones, or PDAs, is shifting from gadgetry to serious platforms for direct marketing actions. The ubiquitous use of these devices offers companies a perfect medium through which to promote their products and services in a personalized and interactive way. Since mobile phone users are rarely without their mobile phones, mobile electronic devices provide marketers with almost permanent contact opportunities to introduce their products directly to potential clients. Although potential customers are attracted by the promotion of appealing technologies and sophisticated products and services via mobile communication, the intended impact of this direct marketing approach is often thwarted as it is seen by some as invasive and an infringement of privacy. This chapter outlines the opportunities and challenges of mobile technology applications for direct marketing and relates mobile technologies to a scheme of tasks for successful direct marketing. The chapter concludes by highlighting examples to demonstrate ways of conducting successful mobile direct marketing.
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Yang, Chungang, and Jiandong Li. "Interference Mitigation and Energy Management in Heterogeneous Networks." In Convergence of Broadband, Broadcast, and Cellular Network Technologies, 124–42. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-5978-0.ch006.

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In Long Term Evolution (LTE) 4G systems, coexistence of multiple in-band smallcells defines what is called heterogeneous cellular networks. There is no doubt that the development of heterogeneous networks and the popularization of intelligent terminals facilitate subscribers with great convenience, better Quality of Experience (QoE) guarantee, and much higher traffic rate. However, interference management will be indispensable in heterogeneous networks. Meanwhile, with emerging various energy-hungry services of subscribers, energy-aware design attracts a wide attention. Motivated by interference mitigation and energy-saving challenges of the heterogeneous networks and the promising cognitive radio techniques, more advanced energy-saving and interference control techniques based on cognitive radio should be developed for better QoE. In this chapter, the authors first review cognitive radios, multiple types of smallcells, and introduce the benefits of cognitive radio-enabled heterogeneous networks. Then, focusing on the scheme design of cognitive interference management and energy management, finally, simulation results are provided to show the improved performance of these proposed cognitive schemes.
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Conference papers on the topic "Terminal attractor"

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Lin, Xin, and Junji Ohtsubo. "Memory capacity of terminal attractor optical associative memory." In Photonics China '96, edited by Baogen Feng and Yoshito Tsunoda. SPIE, 1996. http://dx.doi.org/10.1117/12.251970.

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Mori, Masahiko, Xin Lin, Junji Ohtsubo, and Masanobu Watanabe. "Terminal attractor optical associative memory for pattern recognition." In International Symposium on Optical Memory and Optical Data Storage. SPIE, 1999. http://dx.doi.org/10.1117/12.997584.

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Wu, Jianfa, and Honglun Wang. "Arctangent-Based Extended State Observer with Terminal Attractor." In 2017 9th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). IEEE, 2017. http://dx.doi.org/10.1109/ihmsc.2017.19.

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Wang, S. D., and C. H. Hsu. "Terminal attractor learning algorithms for back propagation neural networks." In 1991 IEEE International Joint Conference on Neural Networks. IEEE, 1991. http://dx.doi.org/10.1109/ijcnn.1991.170401.

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Batbayar, Batsukh, and Xinghuo Yu. "Fast Terminal Attractor Based Backpropagation Algorithm For Feedforward Neural Networks." In 2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information. IEEE, 2007. http://dx.doi.org/10.1109/issnip.2007.4496897.

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Binoo, K. J., and G. Ray. "Trajectory tracking of a two-link robot manipulator: A terminal attractor approach." In Computer Engineering (ICECE). IEEE, 2010. http://dx.doi.org/10.1109/icelce.2010.5700676.

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Wu, Chwan-Hwa, and Hua-Kuang Liu. "Unipolar terminal-attractor-based neural associative memory with adaptive threshold and perfect convergence." In Optical Memory and Neural Networks: International Conference, edited by Andrei L. Mikaelian. SPIE, 1994. http://dx.doi.org/10.1117/12.195622.

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Li, Zexue, Jun Peng, and Junwei Lei. "Integral Adaptive Control And Single Parameter Identification Based On Terminal Attractor And Sigmoid Function." In 2015 3rd International Conference on Mechanical Engineering and Intelligent Systems. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/icmeis-15.2015.54.

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Tseng, Chwan-Lu, Che-Shen Cheng, Bo-Hung Wang, Yu-Hsien Hsu, and Bing-Hung Yang. "Intelligent Motor Fault Diagnosis Using Dynamic Structural Neural Networks with Bat-Algorithm Based Terminal Attractor Learning." In 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2018. http://dx.doi.org/10.1109/smc.2018.00419.

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Jarquin, Gerardo, Gustavo Arechavaleta, and Vicente Parra-Vega. "Time parametrization of prioritized inverse kinematics based on terminal attractors." In 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011). IEEE, 2011. http://dx.doi.org/10.1109/iros.2011.6048264.

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