Journal articles: 'Auxiliary memory'

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Luo, Wei, and Feng Yu. "Recurrent Highway Networks With Grouped Auxiliary Memory." IEEE Access 7 (2019): 182037–49. http://dx.doi.org/10.1109/access.2019.2959655.

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Wang, Jianyong, Lei Zhang, Quan Guo, and Zhang Yi. "Recurrent Neural Networks With Auxiliary Memory Units." IEEE Transactions on Neural Networks and Learning Systems 29, no. 5 (May 2018): 1652–61. http://dx.doi.org/10.1109/tnnls.2017.2677968.

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Morrison, M., P. D. Maia, and J. N. Kutz. "Preventing Neurodegenerative Memory Loss in Hopfield Neuronal Networks Using Cerebral Organoids or External Microelectronics." Computational and Mathematical Methods in Medicine 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/6102494.

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Developing technologies have made significant progress towards linking the brain with brain-machine interfaces (BMIs) which have the potential to aid damaged brains to perform their original motor and cognitive functions. We consider the viability of such devices for mitigating the deleterious effects of memory loss that is induced by neurodegenerative diseases and/or traumatic brain injury (TBI). Our computational study considers the widely used Hopfield network, an autoassociative memory model in which neurons converge to a stable state pattern after receiving an input resembling the given memory. In this study, we connect an auxiliary network of neurons, which models the BMI device, to the original Hopfield network and train it to converge to its own auxiliary memory patterns. Injuries to the original Hopfield memory network, induced through neurodegeneration, for instance, can then be analyzed with the goal of evaluating the ability of the BMI to aid in memory retrieval tasks. Dense connectivity between the auxiliary and Hopfield networks is shown to promote robustness of memory retrieval tasks for both optimal and nonoptimal memory sets. Our computations estimate damage levels and parameter ranges for which full or partial memory recovery is achievable, providing a starting point for novel therapeutic strategies.

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KOMORIYA, Toshihiko, Takeshi OKUYAMA, Yun LUO, and Toshiyuki TAKAGI. "Development of Auxiliary Sphincters using Shape Memory Alloys." Proceedings of Conference of Tohoku Branch 2003.38 (2003): 164–65. http://dx.doi.org/10.1299/jsmeth.2003.38.164.

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Kamel, Nabil. "Page-query compaction of secondary memory auxiliary databases." Distributed and Parallel Databases 2, no. 4 (October 1994): 371–404. http://dx.doi.org/10.1007/bf01265320.

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Liu, ShaoLi, Ling Li, YunJi Chen, and WeiWu Hu. "Auxiliary stream for optimizing memory access of video decoders." Science China Information Sciences 57, no. 1 (January 2014): 1–10. http://dx.doi.org/10.1007/s11432-013-5045-9.

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Wang, Shoujin, Wanggen Wan, Tong Qu, and Yanqiu Dong. "Auxiliary Information-Enhanced Recommendations." Applied Sciences 11, no. 19 (September 23, 2021): 8830. http://dx.doi.org/10.3390/app11198830.

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Sequential recommendations have attracted increasing attention from both academia and industry in recent years. They predict a given user’s next choice of items by mainly modeling the sequential relations over a sequence of the user’s interactions with the items. However, most of the existing sequential recommendation algorithms mainly focus on the sequential dependencies between item IDs within sequences, while ignoring the rich and complex relations embedded in the auxiliary information, such as items’ image information and textual information. Such complex relations can help us better understand users’ preferences towards items, and thus benefit from the recommendations. To bridge this gap, we propose an auxiliary information-enhanced sequential recommendation algorithm called memory fusion network for recommendation (MFN4Rec) to incorporate both items’ image and textual information for sequential recommendations. Accordingly, item IDs, item image information and item textual information are regarded as three modalities. By comprehensively modelling the sequential relations within modalities and interaction relations across modalities, MFN4Rec can learn a more informative representation of users’ preferences for more accurate recommendations. Extensive experiments on two real-world datasets demonstrate the superiority of MFN4Rec over state-of-the-art sequential recommendation algorithms.

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Hogervorst, Susan. "Transmitting Memory Between and Beyond Generations." Journal of Educational Media, Memory, and Society 7, no. 2 (September 1, 2015): 68–88. http://dx.doi.org/10.3167/jemms.2015.070205.

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This article analyses three local educational projects about the Nazi bombing of Rotterdam in May 1940, all of which took place from 1980 to the present day in the context of the dynamic memory culture of the bombardment. These three contexts testify to a process by which memory, increasingly derived from authentic locations and objects instead of individual memories, is put to use in education. Moreover, increased awareness of the disappearance of eyewitness generations means that young people are becoming key consumers and auxiliary producers of memory.

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Lin, Yanru, Yanjun Zhang, and Xu Yang. "A Low Memory Requirement MobileNets Accelerator Based on FPGA for Auxiliary Medical Tasks." Bioengineering 10, no. 1 (December 24, 2022): 28. http://dx.doi.org/10.3390/bioengineering10010028.

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Convolutional neural networks (CNNs) have been widely applied in the fields of medical tasks because they can achieve high accuracy in many fields using a large number of parameters and operations. However, many applications designed for auxiliary checks or help need to be deployed into portable devices, where the huge number of operations and parameters of a standard CNN can become an obstruction. MobileNet adopts a depthwise separable convolution to replace the standard convolution, which can greatly reduce the number of operations and parameters while maintaining a relatively high accuracy. Such highly structured models are very suitable for FPGA implementation in order to further reduce resource requirements and improve efficiency. Many other implementations focus on performance more than on resource requirements because MobileNets has already reduced both parameters and operations and obtained significant results. However, because many small devices only have limited resources they cannot run MobileNet-like efficient networks in a normal way, and there are still many auxiliary medical applications that require a high-performance network running in real-time to meet the requirements. Hence, we need to figure out a specific accelerator structure to further reduce the memory and other resource requirements while running MobileNet-like efficient networks. In this paper, a MobileNet accelerator is proposed to minimize the on-chip memory capacity and the amount of data that is transferred between on-chip and off-chip memory. We propose two configurable computing modules: Pointwise Convolution Accelerator and Depthwise Convolution Accelerator, to parallelize the network and reduce the memory requirement with a specific dataflow model. At the same time, a new cache usage method is also proposed to further reduce the use of the on-chip memory. We implemented the accelerator on Xilinx XC7Z020, deployed MobileNetV2 on it, and achieved 70.94 FPS with 524.25 KB on-chip memory usage under 150 MHz.

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Haq, Abdul, and Michael B. C. Khoo. "Memory-type multivariate control charts with auxiliary information for process mean." Quality and Reliability Engineering International 35, no. 1 (September 19, 2018): 192–203. http://dx.doi.org/10.1002/qre.2391.

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Neskorniuk, Vladislav, Andrea Carnio, Domenico Marsella, Sergei K. Turitsyn, Jaroslaw E. Prilepsky, and Vahid Aref. "Memory-aware end-to-end learning of channel distortions in optical coherent communications." Optics Express 31, no. 1 (December 19, 2022): 1. http://dx.doi.org/10.1364/oe.470154.

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We implement a new variant of the end-to-end learning approach for the performance improvement of an optical coherent-detection communication system. The proposed solution enables learning the joint probabilistic and geometric shaping of symbol sequences by using auxiliary channel model based on the perturbation theory and the refined symbol probabilities training procedure. Due to its structure, the auxiliary channel model based on the first order perturbation theory expansions allows us performing an efficient parallelizable model application, while, simultaneously, producing a remarkably accurate channel approximation. The learnt multi-symbol joint probabilistic and geometric shaping demonstrates a considerable bit-wise mutual information gain of 0.47 bits/2D-symbol over the conventional Maxwell-Boltzmann shaping for a single-channel 64 GBd transmission through the 170 km single-mode fiber link.

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Sheng, Nengyin, Michael A. Bemben, Javier Díaz-Alonso, Wucheng Tao, Yun Stone Shi, and Roger A. Nicoll. "LTP requires postsynaptic PDZ-domain interactions with glutamate receptor/auxiliary protein complexes." Proceedings of the National Academy of Sciences 115, no. 15 (March 26, 2018): 3948–53. http://dx.doi.org/10.1073/pnas.1800719115.

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Long-term potentiation (LTP) is a persistent strengthening of synaptic transmission in the brain and is arguably the most compelling cellular and molecular model for learning and memory. Previous work found that both AMPA receptors and exogenously expressed kainate receptors are equally capable of expressing LTP, despite their limited homology and their association with distinct auxiliary subunits, indicating that LTP is far more promiscuous than previously thought. What might these two subtypes of glutamate receptor have in common? Using a single-cell molecular replacement strategy, we demonstrate that the AMPA receptor auxiliary subunit TARP γ-8, via its PDZ-binding motif, is indispensable for both basal synaptic transmission and LTP. Remarkably, kainate receptors and their auxiliary subunits Neto proteins share the same requirement of PDZ-binding domains for synaptic trafficking and LTP. Together, these results suggest that a minimal postsynaptic requirement for LTP is the PDZ binding of glutamate receptors/auxiliary subunits to PSD scaffolding proteins.

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Hall, Charles B., Richard B. Lipton, Mindy J. Katz, and Cuiling Wang. "Correcting Bias Caused by Missing Data in the Estimate of the Effect of Apolipoprotein ε4 on Cognitive Decline." Journal of the International Neuropsychological Society 21, no. 1 (November 12, 2014): 85–90. http://dx.doi.org/10.1017/s1355617714000952.

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AbstractLongitudinal administration of neuropsychological instruments are often used to assess age-related changes in cognition. Informative loss to follow-up may bias the results of these studies. Herein, we use auxiliary data to adjust for informative loss to follow-up. In the Einstein Aging Study, memory was assessed annually in a community sample of adults age 70+, free of dementia at baseline, using the free recall from the Free and Cued Selective Reminding Test, andviatelephone using the Memory Impairment Screen for Telephone (the auxiliary data). Joint linear mixed models were used to assess how the effect of the APOE ε4 genotype may be affected by informative missingness in the in-person data. A total of 620 EAS participants contributed 2085 person years of follow-up to the analyses. Memory decline rates estimated in joint models were 19% greater in ε4 negative participants and 27% greater in ε4 positive participants compared to traditional approaches; the effect of APOE ε4 on memory decline was 37% greater. Joint modeling methods can help address bias caused by informative missing data in the estimation of the effect of risk factors on cognitive change, and may be applicable to a broader range of outcomes in longitudinal aging studies. (JINS, 2014,20, 1–6)

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Xu, Chuanjie, Feng Yuan, and Shouqiang Chen. "BJBN： BERT-JOIN-BiLSTM Networks for Medical Auxiliary Diagnostic." Journal of Healthcare Engineering 2022 (January 11, 2022): 1–7. http://dx.doi.org/10.1155/2022/3496810.

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This study proposed a medicine auxiliary diagnosis model based on neural network. The model combines a bidirectional long short-term memory（Bi-LSTM）network and bidirectional encoder representations from transformers (BERT), which can well complete the extraction of local features of Chinese medicine texts. BERT can learn the global information of the text, so use BERT to get the global representation of medical text and then use Bi-LSTM to extract local features. We conducted a large number of comparative experiments on datasets. The results show that the proposed model has significant advantages over the state-of-the-art baseline model. The accuracy of the proposed model is 0.75.

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Li, Aiqun. "Research on English Education Auxiliary Teaching System Based on MOOC." Scientific Programming 2021 (October 25, 2021): 1–8. http://dx.doi.org/10.1155/2021/2459228.

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In the traditional English education auxiliary teaching system, the response time is long and the student satisfaction rate is low. Keeping these issues in mind, we propose a MOOC-based English education auxiliary teaching system that consists of hardware and functional modules of the teaching system and the database. The hardware of the English education auxiliary teaching system consists of the database server, memory, and remote controller. The functional modules include the basic teaching module based on MOOC, the assessment module, and the system management module. We conducted a number of experiments, and the simulations showed that the proposed system has a considerably shorter response time than its competitors. We conducted a survey of the proposed system and the existing systems in ten different colleges, and the results showed that the proposed system has a higher students’ satisfaction rate.

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Tang, Jia-Liang, Gabriel Alvarado Barrios, Enrique Solano, and Francisco Albarrán-Arriagada. "Tunable Non-Markovianity for Bosonic Quantum Memristors." Entropy 25, no. 5 (May 6, 2023): 756. http://dx.doi.org/10.3390/e25050756.

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We studied the tunable control of the non-Markovianity of a bosonic mode due to its coupling to a set of auxiliary qubits, both embedded in a thermal reservoir. Specifically, we considered a single cavity mode coupled to auxiliary qubits described by the Tavis–Cummings model. As a figure of merit, we define the dynamical non-Markovianity as the tendency of a system to return to its initial state, instead of evolving monotonically to its steady state. We studied how this dynamical non-Markovianity can be manipulated in terms of the qubit frequency. We found that the control of the auxiliary systems affects the cavity dynamics as an effective time-dependent decay rate. Finally, we show how this tunable time-dependent decay rate can be tuned to engineer bosonic quantum memristors, involving memory effects that are fundamental for developing neuromorphic quantum technologies.

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Chen, Jian. "Realization of a Noncontact IC Chip with Embedded Ferroelectric Memory in an Auxiliary Timing Device for Sports Games." Journal of Nanomaterials 2022 (June 21, 2022): 1–12. http://dx.doi.org/10.1155/2022/9933084.

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The research direction of the new generation of embedded memory can be summarized into two types of embedded nonvolatile memory and embedded volatile memory; the research on online testing of embedded memory started in the past ten years, and there are few research results. This article analyzes the feasibility of the noncontact IC chip in the embedded ferroelectric memory of the sports game auxiliary timing device and is aimed at obtaining an optimized embedded ferroelectric memory by analyzing the relevant data to achieve the update and update of the sports game timing device system. Early sports event timing methods generally use manual timing (stopwatch) or camera shooting timing; this method is inefficient, poor real-time, huge workload, and prone to errors. This research mainly focuses on the analysis and discussion of the material structure and performance of the embedded ferroelectric memory and the process of noncontact IC chip. This article uses custom welding circuit technology to prepare the best ferroelectric filter in the test part and verifies the influence of temperature on the material; in order to understand the properties of ferroelectric materials at the electronic and atomic level, a first-order statistical method is obtained. The numerical calculation results of the experiment verify that the evaluation value of the serial port synchronization module as a whole exceeds the pulse synchronization; the network synchronization as a whole exceeds the code synchronization, and the result of the network time service module is the opposite, but as a whole, each module of the noncontact IC chip has strong performance adaptability; in the application of auxiliary timing, the maintainability of noncontact IC chip is quite outstanding, and the maximum value is 7.97; a large number of complex simulation system tasks can be completed by simple and direct tasks.

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Feng, Xiaobo, Jun Zhong, Rui Yan, Zhihua Zhou, Lei Tian, Jing Zhao, and Zhengyi Yuan. "Groundwater Radon Precursor Anomalies Identification by EMD-LSTM Model." Water 14, no. 1 (January 1, 2022): 69. http://dx.doi.org/10.3390/w14010069.

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Groundwater radon concentrations can reflect the changes of crustal stress and strain. Scholars and scientific institutions have also recorded groundwater radon precursor anomalies before earthquakes. Therefore, groundwater radon monitoring is an effective means of predicting seismic activities. However, the variation of radon concentrations within groundwater is not only affected by structural factors, but also by environmental factors, such as air pressure, temperature, and rainfall. This causes difficulty in identifying the possible precursor anomalies. Therefore, the EMD-LSTM model is proposed to identify the radon anomalies. This study investigated the time series data of groundwater radon from well #32 located in Sichuan province. Three models (including the LSTM (Long Short-Term Memory) model with auxiliary data, the EMD-LSTM (Empirical Mode Decomposition Long Short-Term Memory) model with auxiliary data, and the EMD-LSTM model without auxiliary data) were developed in order to predict groundwater radon variations. The results indicated that the prediction accuracy of the EMD-LSTM model was much higher than that of the LSTM model, and the EMD-LSTM model without auxiliary data also can obtain an ideal prediction result. Furthermore, the different durations of seismic activities T (T = ±10, ±30, ±50, and ±100) were also investigated by comparing the identification results. The identification rate of the precursor anomalies was the highest when T = ±30. The EMD-LSTM model identified five possible radon anomalies among the seven selected earthquakes. Taking well #32 as an example, we provided a promising method, that was the EMD-LSTM model, to detect the groundwater radon anomalies. It also suggested that the EMD-LSTM model can be used to identify the possible precursor anomalies within future studies.

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Muravyev, Alexey. "‘Perfidious Goth’, Holy Martyrs Cult and the Memory of Roman Troops in 5th Century Edessa." Amsterdamer Beiträge zur älteren Germanistik 80, no. 1-2 (August 12, 2020): 134–42. http://dx.doi.org/10.1163/18756719-12340180.

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Abstract The present article deals with the literary image of a Gothic man who happened to be in Edessa in the 5th century AD as a part of Roman auxiliary troops. He is reported to marry there a local girl under pretext of being a celibatarian. Having left Syria for Gothia, it turned out that he was married and had children. The Syrian wife became a slave and suffered a lot before returning miraculously back to Edessa. From the comparative study of the sources it becomes clear that the Gothic auxiliary troops were summoned to Edessa in connection with the advance of the Huns. Notwithstanding the common equation of Goths and Getae, the Gothic soldier in question was Germanic and not Getan (Dacian). The last question is the character of the marriage gift he presented for his temporary marriage.

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Damaskinos, Georgios, Celestine Mendler-Dünner, Rachid Guerraoui, Nikolaos Papandreou, and Thomas Parnell. "Differentially Private Stochastic Coordinate Descent." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 8 (May 18, 2021): 7176–84. http://dx.doi.org/10.1609/aaai.v35i8.16882.

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In this paper we tackle the challenge of making the stochastic coordinate descent algorithm differentially private. Compared to the classical gradient descent algorithm where updates operate on a single model vector and controlled noise addition to this vector suffices to hide critical information about individuals, stochastic coordinate descent crucially relies on keeping auxiliary information in memory during training. This auxiliary information provides an additional privacy leak and poses the major challenge addressed in this work. Driven by the insight that under independent noise addition, the consistency of the auxiliary information holds in expectation, we present DP-SCD, the first differentially private stochastic coordinate descent algorithm. We analyze our new method theoretically and argue that decoupling and parallelizing coordinate updates is essential for its utility. On the empirical side we demonstrate competitive performance against the popular stochastic gradient descent alternative (DP-SGD) while requiring significantly less tuning.

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Liang, Shujun, Huanlong Zhang, Jie Zhang, and Fengxian Wang. "Parameter Identification with a New Recursive Framework for Wiener–Hammerstein-Like System and Its Application." Mathematical Problems in Engineering 2022 (June 8, 2022): 1–14. http://dx.doi.org/10.1155/2022/2245781.

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In the process of actual system modeling, many systems exhibit nonlinear characteristics with memory. Thus, the parameter identification problem of the nonlinear system with memory usually appears in the system modeling. This report focuses on the nonlinear system identification of Wiener–Hammerstein-like model with memory hysteresis, in which a new recursive estimation way is introduced. In this algorithm, the estimation bias problem can be improved by introducing a data filtering technique. On the basis of the filtered data, some auxiliary matrices and vectors are proposed. Following this, the identification error variable is introduced by using auxiliary matrices and vectors with an adaptive forgetting factor. Afterward, the identification error variable is integrated into the design of parameter estimation adaptive law with recursive gain structure. By comparison with the classic estimation methods, the proposed algorithm shows an alternative identification algorithm design angle. In addition, it is strictly proved that the parameter estimation error converges to zero under a general excitation condition. Based on the results of indices M S E , compared with the existing methods, the performance improvements of the proposed method are 33.9 %, 41.26%, and 53.5%, respectively. In terms of indices P E M , the augmented performances of the developed scheme are 50%, 56.2%, and 68.4%, respectively, in comparison to the available schemes.

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Melikyan, Varduhi, and Garegin Tumanyan. "Kurgans with auxiliary cists, externally attached to the cromlech in Armenia." ARAMAZD: Armenian Journal of Near Eastern Studies 13, no. 2 (January 1, 2019): 56–69. http://dx.doi.org/10.32028/ajnes.v13i2.961.

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Tomb complexes have been excavated at a number of necropoleis in Armenia, which, in addition to the main burial chamber, have also stone-made or ground cells, externally attached to the cromlech. These ritual ‘boxes’ usually contain accompanying property and in some cases the remains of sacrificed animals. Tombs with the mentioned structural peculiarities have been found in the necropoleis of Lori Berd, Karashamb, Kanagegh, Hnaberd, Horom, Shamiram, etc. These belong to the Middle Bronze Age – Early Iron Age cultures of Armenia. Although the auxiliary cists in almost all the complexes are smaller than the burial chamber, however, the vessels found in them usually outnumber (sometimes several times) the vessels found in the burial chamber. The construction of such auxiliary cists can be explained by certain funeral rites, which were usually performed after the burial, symbolising the memory of the deceased. As a rule, the orientation of the auxiliary cists differs significantly from that of the main burial chamber. This may be explained by the fact that the auxiliary cell or ‘cist’ was constructed slightly later than the main burial chamber. By measuring the angle of the longitudinal axis of the main tomb and the auxiliary cist, the degree of deviation can be seen of the point of the sun rising from the time of the tomb construction to the construction of auxiliary cist. Having determined the angle of these axes and knowing the maximum deviation angle of the sun’s rising from the eastern point (which appears in three months), one can find out how many days have passed since the auxiliary cist was built.

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Zang, Ke, and Zhenguo Ma. "Automatic Modulation Classification Based on Hierarchical Recurrent Neural Networks With Grouped Auxiliary Memory." IEEE Access 8 (2020): 213052–61. http://dx.doi.org/10.1109/access.2020.3039543.

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Peter, Saša, Bastiaan H. A. Urbanus, Remco V. Klaassen, Bin Wu, Henk-Jan Boele, Sameha Azizi, Johan A. Slotman, et al. "AMPAR Auxiliary Protein SHISA6 Facilitates Purkinje Cell Synaptic Excitability and Procedural Memory Formation." Cell Reports 31, no. 2 (April 2020): 107515. http://dx.doi.org/10.1016/j.celrep.2020.03.079.

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Anwar, Syed Masroor, Muhammad Aslam, Muhammad Riaz, and Babar Zaman. "On mixed memory control charts based on auxiliary information for efficient process monitoring." Quality and Reliability Engineering International 36, no. 6 (June 24, 2020): 1949–68. http://dx.doi.org/10.1002/qre.2667.

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Qu, Yingming, Jinli Li, and Zhenchun Li. "Viscoacoustic Wave Numerical Simulation Method in an Auxiliary System for Irregular Surface Topography based on a Hybrid Spatial Partial Derivative Scheme." Journal of Theoretical and Computational Acoustics 28, no. 01 (March 2020): 1950022. http://dx.doi.org/10.1142/s2591728519500221.

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Conventional finite-difference or pseudo-spectral viscoacoustic modeling methods use uniform, rectangular grids to simulate wave propagation, leading to severe spurious diffractions at the surface topography. To overcome the problem, we mesh the velocity and quality factor [Formula: see text] models into curvilinear grids and map the models and the first-order velocity-stress viscoacoustic equation into an auxiliary system. However, when imaging viscoacoustic media, the first-order velocity-stress viscoacoustic equation has difficulty in compensating the energy loss and correcting the phase effects because of the memory variables. To overcome the problem, we apply the first-order equation in the auxiliary coordinates to derive a second-order viscoacoustic quasi-differential equation without memory variables in the same system, with an attenuated term and a dispersion term separately. A new hybrid spatial partial derivative method is proposed to solve the equation. Error analysis, using a homogeneous model with different grids, demonstrates the accuracy and validity of our methods. The numerical examples on two models with topographic surfaces indicate that our method can obtain more stable and improving results for modeling the wave propagation in viscoacoustic media including surface topography.

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Dinklage, Patrick, Jonas Ellert, Johannes Fischer, Florian Kurpicz, and Marvin Löbel. "Practical Wavelet Tree Construction." ACM Journal of Experimental Algorithmics 26 (July 8, 2021): 1–67. http://dx.doi.org/10.1145/3457197.

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We present new sequential and parallel algorithms for wavelet tree construction based on a new bottom-up technique. This technique makes use of the structure of the wavelet trees—refining the characters represented in a node of the tree with increasing depth—in an opposite way, by first computing the leaves (most refined), and then propagating this information upwards to the root of the tree. We first describe new sequential algorithms, both in RAM and external memory. Based on these results, we adapt these algorithms to parallel computers, where we address both shared memory and distributed memory settings. In practice, all our algorithms outperform previous ones in both time and memory efficiency, because we can compute all auxiliary information solely based on the information we obtained from computing the leaves. Most of our algorithms are also adapted to the wavelet matrix , a variant that is particularly suited for large alphabets.

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Ben-Ami, Lee, and Ido Bachelet. "A Thought-Operated Digital Random-Access Memory." Computational Intelligence and Neuroscience 2019 (June 9, 2019): 1–8. http://dx.doi.org/10.1155/2019/9684140.

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The capacity and reliability of biological memory could be exceeded by a constantly growing flux of information to remember and operate by. Yet, our memory is fragile and could be easily impaired, and the prevalence of memory disorders is increasing in correlation with the population’s mean age. As expected, auxiliary memory devices (such as writing pads and computers) are abundant but are operated indirectly using significant effort compared with biological memory. We report a working prototype of a simplified, 4 KB random-access memory (RAM) that can be written to or read from using thought and could be embedded more seamlessly than other artificial memory aids. The system analyses EEG signals to extract attention levels, which trained subjects can use to write messages into an RFID sticker, or read from it on a display. We describe basic modes of using memory by a single subject, emulate common forms of social communication using this system, and highlight new forms of social usage and allocation of memories that are linked to specific persons. This preliminary prototype highlights the technical feasibility and the possibilities of implantable thought-operated memory devices and could be developed further to provide seamless aid to people suffering from memory disorders in the near future.

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Zhao, Shi Hua. "The Diversities and Unities of Thermodynamic Function Expressions for Simple Systems." Advanced Materials Research 468-471 (February 2012): 2728–31. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.2728.

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For the thermodynamic functions of simple systems, the expressions of different state parameters are proposed, and the equivalence relations between the different expressions are validated, which shows the diversities and unities of the thermodynamic function expressions. A memory approach of the Maxwell equations are also introduced, which is quicker and more accurate to write out the Maxwell equations, than to use any auxiliary figures.

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Wang, Lu, Hongyu Zhu, Ze Zuo, and Dianzhong Wen. "Full-function logic circuit based on egg albumen resistive memory." Applied Physics Letters 121, no. 24 (December 12, 2022): 243505. http://dx.doi.org/10.1063/5.0124826.

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The logic gate is the basic unit of a digital circuit structure. The operation, memory, I/O, and other reading and writing functions of computer systems require logic circuits. Logic gates based on resistive memory can make existing integrated circuits denser, smaller, faster, and use fewer devices. In this paper, Al/polymethyl methacrylate (PMMA)/egg albumen (EA):Au nanoparticles/PMMA/Al multilayer biological resistive random access memory was prepared based on the natural biological material—egg albumen (EA). The device has bipolar switching behavior, a higher switching current ratio, a lower threshold voltage, and better stability. A circuit based on auxiliary logic is constructed using this device, and the logic functions of AND, OR, NOT, NAND, and NOR are realized. This device provides an effective potential solution for implementing high-performance electronic devices and large-scale integrated circuits.

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Li, Bao, Jing Xiong, Feng Wan, Changhua Wang, and Dongjing Wang. "Incorporating Multivariate Auxiliary Information for Traffic Prediction on Highways." Sensors 23, no. 7 (March 31, 2023): 3631. http://dx.doi.org/10.3390/s23073631.

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Traffic flow prediction is one of the most important tasks of the Intelligent Transportation Systems (ITSs) for traffic management, and it is also a challenging task affected by many complex factors, such as weather and time. Many cities adopt efficient traffic prediction methods to control traffic congestion. However, most of the existing methods of traffic prediction focus on urban road scenarios, neglecting the complexity of multivariate auxiliary information in highways. Moreover, these methods have difficulty explaining the prediction results based only on the historical traffic flow sequence. To tackle these problems, we propose a novel traffic prediction model, namely Multi-variate and Multi-horizon prediction based on Long Short-Term Memory (MMLSTM). MMLSTM can effectively incorporate auxiliary information, such as weather and time, based on a strategy of multi-horizon time spans to improve the prediction performance. Specifically, we first exploit a multi-horizon bidirectional LSTM model for fusing the multivariate auxiliary information in different time spans. Then, we combine an attention mechanism and multi-layer perceptron to conduct the traffic prediction. Furthermore, we can use the information of multivariate (weather and time) to provide interpretability to manage the model. Comprehensive experiments are conducted on Hangst and Metr-la datasets, and MMLSTM achieves better performance than baselines on traffic prediction tasks.

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Nakagawa, Terunaga. "Structures of the AMPA receptor in complex with its auxiliary subunit cornichon." Science 366, no. 6470 (December 5, 2019): 1259–63. http://dx.doi.org/10.1126/science.aay2783.

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In the brain, AMPA-type glutamate receptors (AMPARs) form complexes with their auxiliary subunits and mediate the majority of fast excitatory neurotransmission. Signals transduced by these complexes are critical for synaptic plasticity, learning, and memory. The two major categories of AMPAR auxiliary subunits are transmembrane AMPAR regulatory proteins (TARPs) and cornichon homologs (CNIHs); these subunits share little homology and play distinct roles in controlling ion channel gating and trafficking of AMPAR. Here, I report high-resolution cryo–electron microscopy structures of AMPAR in complex with CNIH3. Contrary to its predicted membrane topology, CNIH3 lacks an extracellular domain and instead contains four membrane-spanning helices. The protein-protein interaction interface that dictates channel modulation and the lipids surrounding the complex are revealed. These structures provide insights into the molecular mechanism for ion channel modulation and assembly of AMPAR/CNIH3 complexes.

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Ling, Guobi. "Prediction of Membrane Fouling based on SSA-LSTM Neural Network." Frontiers in Science and Engineering 2, no. 8 (August 24, 2022): 7–15. http://dx.doi.org/10.54691/fse.v2i8.1717.

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In view of the difficulty in obtaining the membrane bioreactor (MBR) membrane flux in real time and stable control, a sparrow search algorithm (SSA) is proposed to optimize the SSA-LSTM prediction model of long short-term memory (LSTM) neural network. Firstly, principal component analysis (PCA) is used to realize the dimensionality reduction of auxiliary variables. Second, use the sparrow search algorithm to determine the relevant hyper-parameters of the LSTM neural network. Finally, the selected auxiliary variables are used as the input of the SSA-LSTM prediction model, and the membrane flux is used as the prediction output, the measured data is used as the sample for experimental verification. The accuracy rate reaches 94.31%, which is much higher than 63.63% of LSTM. The results show that the proposed membrane flux prediction model has higher prediction performance.

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Zhang, Wei, and Yang Shen. "Unsplit complex frequency-shifted PML implementation using auxiliary differential equations for seismic wave modeling." GEOPHYSICS 75, no. 4 (July 2010): T141—T154. http://dx.doi.org/10.1190/1.3463431.

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The complex-frequency-shifted perfectly matched layer (CFS-PML) technique can efficiently absorb near-grazing incident waves. In seismic wave modeling, CFS-PML has been implemented by the first-order-accuracy convolutional PML technique or second-order-accuracy recursive convolution PML technique. Both use different algorithms than the numerical scheme for the interior domain to update auxiliary memory variables in the PML and thus cannot be used directly with higher-order time-marching schemes. We work with an unsplit-field CFS-PML implementation using auxiliary differential equations (ADEs) to update the auxiliary memory variables. This ADE CFS-PML results in complete first-order differential equations. Thus, the numerical scheme for the interior domain can be used to solve ADE CFS-PML equations. We have implemented ADE CFS-PML in the finite-difference time-domain method and in anonstaggered-grid finite-difference method with the fourth-order Runge-Kutta scheme, demonstrating its straightforward implementation in different numerical time-marching schemes. We have also theoretically analyzed the role of the scalingfactor of CFS-PML; it transforms the PML to a transversely isotropic material, reducing the effective wave speed normal to the PML layer and bending the wavefront toward the normal direction of the PML layer. Our numerical tests indicate that the optimal value reduces the points per dominant wavelength at the outermost boundary to three, about half the value required by the numerical scheme. We also have found that the PML equations should be derived taking the free-surface boundary condition into account in finite-difference methods. Otherwise, the free surface in the PML layer causes instability or ineffective absorption of surface waves. Tests show that we can use a narrow-slice mesh with ADE CFS-PML to simulate full wave propagation efficiently in models with complex structure.

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Yang, Chao-Peng, Jian-Qing Zhu, Tan Yan, Qiu-Ling Su, and Li-Xin Zheng. "Auxiliary Pneumonia Classification Algorithm Based on Pruning Compression." Computational and Mathematical Methods in Medicine 2022 (July 18, 2022): 1–12. http://dx.doi.org/10.1155/2022/8415187.

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Pneumonia infection is the leading cause of death in young children. The commonly used pneumonia detection method is that doctors diagnose through chest X-ray, and external factors easily interfere with the results. Assisting doctors in diagnosing pneumonia in patients based on deep learning methods can effectively eliminate similar problems. However, the complex network structure and redundant parameters of deep neural networks and the limited storage and computing resources of clinical medical hardware devices make it difficult for this method to use widely in clinical practice. Therefore, this paper studies a lightweight pneumonia classification network, CPGResNet50 (ResNet50 with custom channel pruning and ghost methods), based on ResNet50 pruning and compression to better meet the application requirements of clinical pneumonia auxiliary diagnosis with high precision and low memory. First, based on the hierarchical channel pruning method, the channel after the convolutional layer in the bottleneck part of the backbone network layer is used as the pruning object, and the pruning operation is performed after its normalization to obtain a network model with a high compression ratio. Second, the pruned convolutional layers are decomposed into original convolutions and cheap convolutions using the optimized convolution method. The feature maps generated by the two convolution parts are combined as the input to the next convolutional layer. Further, we conducted many experiments using pneumonia X-ray medical image data. The results show that the proposed method reduces the number of parameters of the ResNet50 network model from 23.7 M to 3.455 M when the pruning rate is 90%, a reduction is more than 85%, FIOPs dropped from 4.12G to 523.09 M, and the speed increased by more than 85%. The model training accuracy error remained within 1%. Therefore, the proposed method has a good performance in the auxiliary diagnosis of pneumonia and obtained good experimental results.

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Cheol Choi, Kyung, B. J. Shin, and Ki-Woong Whang. "Improved pulsed-memory dc plasma display with non-discharge pulses applied to the auxiliary anode." Journal of the Society for Information Display 1, no. 3 (1993): 353. http://dx.doi.org/10.1889/1.1984885.

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Amo-Navarro, Jesús, Ricardo Vinuesa, J. Alberto Conejero, and Sergio Hoyas. "Two-Dimensional Compact-Finite-Difference Schemes for Solving the bi-Laplacian Operator with Homogeneous Wall-Normal Derivatives." Mathematics 9, no. 19 (October 7, 2021): 2508. http://dx.doi.org/10.3390/math9192508.

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In fluid mechanics, the bi-Laplacian operator with Neumann homogeneous boundary conditions emerges when transforming the Navier–Stokes equations to the vorticity–velocity formulation. In the case of problems with a periodic direction, the problem can be transformed into multiple, independent, two-dimensional fourth-order elliptic problems. An efficient method to solve these two-dimensional bi-Laplacian operators with Neumann homogeneus boundary conditions was designed and validated using 2D compact finite difference schemes. The solution is formulated as a linear combination of auxiliary solutions, as many as the number of points on the boundary, a method that was prohibitive some years ago due to the large memory requirements to store all these auxiliary functions. The validation has been made for different field configurations, grid sizes, and stencils of the numerical scheme, showing its potential to tackle high gradient fields as those that can be found in turbulent flows.

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Twomey, Edward C., Maria V. Yelshanskaya, Robert A. Grassucci, Joachim Frank, and Alexander I. Sobolevsky. "Elucidation of AMPA receptor–stargazin complexes by cryo–electron microscopy." Science 353, no. 6294 (June 30, 2016): 83–86. http://dx.doi.org/10.1126/science.aaf8411.

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AMPA-subtype ionotropic glutamate receptors (AMPARs) mediate fast excitatory neurotransmission and contribute to high cognitive processes such as learning and memory. In the brain, AMPAR trafficking, gating, and pharmacology is tightly controlled by transmembrane AMPAR regulatory proteins (TARPs). Here, we used cryo–electron microscopy to elucidate the structural basis of AMPAR regulation by one of these auxiliary proteins, TARP γ2, or stargazin (STZ). Our structures illuminate the variable interaction stoichiometry of the AMPAR-TARP complex, with one or two TARP molecules binding one tetrameric AMPAR. Analysis of the AMPAR-STZ binding interfaces suggests that electrostatic interactions between the extracellular domains of AMPAR and STZ play an important role in modulating AMPAR function through contact surfaces that are conserved across AMPARs and TARPs. We propose a model explaining how TARPs stabilize the activated state of AMPARs and how the interactions between AMPARs and their auxiliary proteins control fast excitatory synaptic transmission.

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Savir, Jacob. "BIST Analysis of an Embedded Memory Associated Logic." VLSI Design 12, no. 4 (January 1, 2001): 563–78. http://dx.doi.org/10.1155/2001/91710.

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Of late some interesting and useful work has been done on the problem of testing logic surrounding embedded memories. This work assumes that the logic surrounding the memory is functionally partitioned and that the different partitions are logically isolated one from the other.This paper expands upon past work using a more flexible design rule which allows feed-forward connections between the data-path Prelogic and Postlogic. The connections are such that there is no feedback from the memory outputs to its inputs, and both the Prelogic and the Postlogic are disconnected from the Address and Control logic. Under this design rule we show the auxiliary circuits used to determine the random pattern testability of faults in the circuitry driving the address inputs and the controls of the two-port memory.The techniques described herein are intended to be used in conjunction with the cutting algorithm for testability measurement in built-in self-test (BIST) designs [2, 11, 17], but may also be suitable for use with other detection probability tools [9, 19], and simulation tools [20].

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Mishura, Yuliya, Kostiantyn Ralchenko, and Sergiy Shklyar. "General Conditions of Weak Convergence of Discrete-Time Multiplicative Scheme to Asset Price with Memory." Risks 8, no. 1 (January 30, 2020): 11. http://dx.doi.org/10.3390/risks8010011.

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We present general conditions for the weak convergence of a discrete-time additive scheme to a stochastic process with memory in the space D [ 0 , T ] . Then we investigate the convergence of the related multiplicative scheme to a process that can be interpreted as an asset price with memory. As an example, we study an additive scheme that converges to fractional Brownian motion, which is based on the Cholesky decomposition of its covariance matrix. The second example is a scheme converging to the Riemann–Liouville fractional Brownian motion. The multiplicative counterparts for these two schemes are also considered. As an auxiliary result of independent interest, we obtain sufficient conditions for monotonicity along diagonals in the Cholesky decomposition of the covariance matrix of a stationary Gaussian process.

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Герасимов, I. Gerasimov, Яшин, and A. Yashin. "Ion-Molecular Memory Model. Structural Elements of the Library Memory and the Interaction Between Them." Journal of New Medical Technologies 21, no. 3 (September 5, 2014): 195–99. http://dx.doi.org/10.12737/5934.

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This article is a continuation of a series of works on creation of ion-molecular memory model. Structural elements of the library of memory, as well as their rather complex interaction are considered. The authors are talking about the library in anatomically formed brain. It is believed that information is stored in certain structural elements ("repository of facts"). The concept of directory information and a buffer of information systems and their capacity were introduced. The scheme of possible structure of the library of memory that includes inputs, controllers, switches, transmitters, receivers-directories, drives, and concurrently-cascaded (specialized) of the auxiliary sections of the library memory was proposed and substantiated by the authors. Structural elements of the storage of information already exist in anatomically formed brain, and actually library memory has elements of different physical sizes. Information is also distributed by the authorities, and the smallest unit patterns library memory is one where the only fact is stored. As soon hydrogen ions as carriers of information, easily contact the buffer systems, this indicates that in the system memory other structures to store facts – information are excessive, with the exception of physical and chemical buffers of protein nature. It is also clear: if more capacity information in the buffer, the more information can be stored in it. Structural elements of the library memory can be presented in sufficient functional completeness by controllers, switches, transmitters and drives. It is not excluded that controllers and switches are located within a single molecular (submolecular) structure.

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Van Deusen, Kaylyn, Mark A. Prince, Anna J. Esbensen, Jamie O. Edgin, Emily K. Schworer, Angela John Thurman, Lina R. Patel, Lisa A. Daunhauer, and Deborah J. Fidler. "Profiles of Caregiver-Reported Executive Function in Children with Down Syndrome." Brain Sciences 12, no. 10 (October 1, 2022): 1333. http://dx.doi.org/10.3390/brainsci12101333.

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Children with Down syndrome (DS) are at risk for challenges with aspects of executive function (EF). The current study explores whether heterogeneity in EF profiles can be detected within a sample of children with DS. Participants were 69 children with DS, ages 3–10 years (M = 6.23, SD = 1.91). T-scores from a caregiver-report measure of executive function were modeled using latent profile analysis, and auxiliary analyses examined the association between demographic and biomedical factors and probability of profile membership. The two-profile solution was the best fit for the sample, with a profile that involved elevated scores in working memory only (“Working Memory Only” profile; 43% of sample) and a “Multi-Domain” profile that involved elevated scores in planning, inhibition, and working memory (57%). The presence of congenital heart defects was associated with a higher probability of assignment to the Multi-Domain profile. Findings from this study contribute to the characterization of heterogeneous outcomes associated with DS.

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RAMESH, R. "R2M: A RECONFIGURABLE REWRITE MACHINE." Parallel Processing Letters 04, no. 01n02 (June 1994): 171–80. http://dx.doi.org/10.1142/s0129626494000181.

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Term rewriting is a popular computational paradigm for symbolic computations such as formula manipulation, theorem proving and implementations of nonprocedural programming languages. In rewriting, the most demanding operation is repeated simplification of terms by pattern matching them against rewrite rules. We describe a parallel architecture, R2M, for accelerating this operation. R2M can operate either as a stand-alone processor using its own memory or as a backend device attached to a host using the host’s main memory. R2M uses only a fixed number (independent of input size) of processing units and fixed capacity auxiliary memory units, yet it is capable of handling variable-size rewrite rules that change during simplification. This is made possible by a simple and reconfigurable interconnection present in R2M. Finally, R2M uses a hybrid scheme that combines the ease, and efficiency of parallel pattern matching using the tree representation of terms, and the naturalness of their dag representation for replacements.

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SENAPATI, RANJAN K., UMESH C. PATI, and KAMALA K. MAHAPATRA. "LOW BIT RATE IMAGE COMPRESSION USING HIERARCHICAL LISTLESS BLOCK-TREE DTT ALGORITHM." International Journal of Image and Graphics 13, no. 01 (January 2013): 1350005. http://dx.doi.org/10.1142/s0219467813500058.

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This paper presents a listless variant of modified wavelet block tree coding (MLBTC) algorithm. Wavelet block-tree coding (WBTC) improves the image compression performance of set partitioning in hierarchical trees (SPIHT) at lower rates by efficiently encoding both inter- and intra-scale correlations. The use of auxiliary lists makes WBTC undesirable for hardware implementation as it needs a lot of memory management due to exponential increase of nodes on each pass. The proposed coder named as hierarchical listless block-tree DTT (HLBT_DTT) that combines discrete Tchebichef transform (DTT) with MLBTC exhibits compression performance significantly higher than most of the DCT-based embedded coders and comparable with JPEG 2000, especially at lower bit rates. Further, HLBT_DTT requires only 10% of memory than that of DCT-based SPIHT/WBTC coders.

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Malone, Fionn D., Shuai Zhang, and Miguel A. Morales. "Overcoming the Memory Bottleneck in Auxiliary Field Quantum Monte Carlo Simulations with Interpolative Separable Density Fitting." Journal of Chemical Theory and Computation 15, no. 1 (December 19, 2018): 256–64. http://dx.doi.org/10.1021/acs.jctc.8b00944.

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Tan, Qiaoyu, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, and Xia Hu. "Dynamic Memory based Attention Network for Sequential Recommendation." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 5 (May 18, 2021): 4384–92. http://dx.doi.org/10.1609/aaai.v35i5.16564.

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Sequential recommendation has become increasingly essential in various online services. It aims to model the dynamic preferences of users from their historical interactions and predict their next items. The accumulated user behavior records on real systems could be very long. This rich data brings opportunities to track actual interests of users. Prior efforts mainly focus on making recommendations based on relatively recent behaviors. However, the overall sequential data may not be effectively utilized, as early interactions might affect users' current choices. Also, it has become intolerable to scan the entire behavior sequence when performing inference for each user, since real-world system requires short response time. To bridge the gap, we propose a novel long sequential recommendation model, called Dynamic Memory-based Attention Network (DMAN). It segments the overall long behavior sequence into a series of sub-sequences, then trains the model and maintains a set of memory blocks to preserve long-term interests of users. To improve memory fidelity, DMAN dynamically abstracts each user's long-term interest into its own memory blocks by minimizing an auxiliary reconstruction loss. Based on the dynamic memory, the user's short-term and long-term interests can be explicitly extracted and combined for efficient joint recommendation. Empirical results over four benchmark datasets demonstrate the superiority of our model in capturing long-term dependency over various state-of-the-art sequential models.

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Kim, Pyung Soo, Eung Hyuk Lee, Mun Suck Jang, and Ki Sun Song. "A Bank of Finite Memory Filters for Fault Detection and Adjusting Detection Latency." Applied Mechanics and Materials 575 (June 2014): 811–19. http://dx.doi.org/10.4028/www.scientific.net/amm.575.811.

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This paper proposes a new fault detection scheme using a bank of finite memory filters for discrete-time dynamic systems with multiple sensors. In the proposed scheme, fault detection is carried out by testing the consistency of two filtered estimates, which are obtained from the primary estimation filter and the auxiliary estimation filter using a bank of finite memory filters, respectively. Detection latency is considered as one of important performance criteria and focus on the improvement of detection latency even for high threshold value. Through extensive computer simulations for the F-404 engine system, it is shown that detection latency can be adjusted by the window length. Simulation results show that the trade-off between the fast detection performance and the noise-suppressing estimation performance should be needed for the proposed fault detection scheme in real applications.

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Ramadan, Omar. "Efficient and stable generalized auxiliary differential equation FDTD implementation of graphene dispersion." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 38, no. 6 (October 24, 2019): 2070–83. http://dx.doi.org/10.1108/compel-03-2019-0115.

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Purpose The purpose of this paper is to present efficient and stable generalized auxiliary differential equation finite difference time domain (G-ADE-FDTD) implementation of graphene dispersion. Design/methodology/approach A generalized dispersive model is used for describing the graphene’s intraband and interband conductivities in the terahertz and infrared frequencies. In addition, the von Neumann method combined with the Routh-Hurwitz criterion are used for studying the stability of the given implementation. Findings The presented G-ADE-FDTD implementation allows modeling graphene’s dispersion using the minimal number of additional auxiliary variables, which will reduce both the CPU time and memory storage requirements. In addition, the stability of the implementation retains the standard non-dispersive Courant–Friedrichs–Lewy (CFL) constraint. Practical implications The given implementation is conveniently applicable for most commonly used dispersive models, such as Debye, Lorentz, complex-conjugate pole residue, etc. Originality/value The presented G-ADE-FDTD implementation not only unifies the implementation of both graphene’s intraband and interband conductivities, with the minimal computational requirements but also retains the standard non-dispersive CFL time step stability constraint.

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Михайлова, Елена Евгеньевна. "L.P. KARSAVIN ON LIVE SOURCES OF HISTORICAL MEMORY." Вестник Тверского государственного университета. Серия: Философия, no. 1(55) (April 23, 2021): 150–57. http://dx.doi.org/10.26456/vtphilos/2021.1.150.

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Показано, как петербургский историк рубежа XIX-XX вв. Л.П. Карсавин воспринимал «живые» источники прошлого и как использовал их потенциал в своих работах по средневековой культуре. «Живые» источники» - это современное понятие, оно обозначает следы прошлого, которые внутри достаточно интимного контекста актуализируют историческую память. К таким источникам относятся мифы, свидетельства очевидцев, личные воспоминания, семейные истории. Письменно зафиксированные, они могут выступать в качестве вспомогательных исторических источников. Сделан вывод о том, что для Карсавина легенды, мистика, традиции, энергия рода и талант индивидуальности - все эти символические следы прошлого - важны как средство художественного выражения исторической памяти. It is shown how the St. Petersburg historian of the turn of the XIX - XX centuries L.P. Karsavin perceived the « living » sources of the past and how he used potential of that sources in his works on medieval culture. « Living » source is a contemporary concept, these sources denote traces of the past, and in a rather intimate context actualize historical memory. These sources include myths, eyewitness accounts, personal memories, family stories. Recorded in writing, they can act as auxiliary historical sources. It is concluded that, for Karsavin, legends, mysticism, traditions, the energy of the clan and the talent of individuality are symbolic traces of the past and are important as an instrument of artistic expression of historical memory.

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Kudyshev, Zhaxylyk A., Alexander V. Kildishev, Alexandra Boltasseva, and Vladimir M. Shalaev. "Photonic topological phase transition on demand." Nanophotonics 8, no. 8 (April 9, 2019): 1349–56. http://dx.doi.org/10.1515/nanoph-2019-0043.

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AbstractOn-demand, switchable phase transitions between topologically nontrivial and trivial photonic states are demonstrated. Specifically, it is shown that the integration of a two-dimensional array of coupled ring resonators within a thermal heater array enables unparalleled control over topological protection of photonic modes. Importantly, auxiliary control over a spatial phase modulation opens up a way to guide topologically protected edge modes along generated virtual boundaries. The proposed approach can lead to practical realizations of topological phase transitions in many photonic applications, including topologically protected photonic memory/logic devices, robust optical modulators, and switches.

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Journal articles on the topic 'Auxiliary memory'

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