- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
Research on Synchronous Control Method for Suppressing Nonlinear Impulse Perturbation of Photovoltaic Grid-Connected Inverter
摘要： We study universal compression of sequences generated by monotonic distributions. We show that for a monotonic distribution over an alphabet of size , each probability parameter costs essentially bits, where is the coded sequence length, as long as . Otherwise, for , the total average sequence redundancy is bits overall. We then show that there exists a sub-class of monotonic distributions over infinite alphabets for which redundancy of bits overall is still achievable. This class contains fast decaying distributions, including many distributions over the integers such as the family of Zipf distributions and geometric distributions. For some slower decays, including other distributions over the integers, redundancy of bits overall is achievable. A method to compute specific redundancy rates for such distributions is derived. The results are specifically true for finite entropy monotonic distributions. Finally, we study individual sequence redundancy behavior assuming a sequence is governed by a monotonic distribution. We show that for sequences whose empirical distributions are monotonic, individual redundancy bounds even tighter than those in the average case can be obtained. The relation of universal compression with monotonic distributions to universal compression of patterns of sequences is demonstrated.
关键词： large alphabets,universal compression,individual redundancy,monotonic distributions,Average redundancy,patterns
更新于2025-09-23 15:19:57
-
[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - The surface passivation mechanism of graphene oxide for crystalline silicon
摘要： We propose an effective framework for salient region detection in natural images based on the concept of self-guided statistical non-redundancy (SGNR). Salient regions are unique, because they have low information redundancy within a given image, while the rest of the scene may highly be redundant. We ?rst analyze the structural characteristics of the image using structured image elements (samples) and classify them as being non-redundant or redundant based on textural compactness and overall non-redundancy. This guides saliency detection toward regions with low information redundancy by considering explicitly high information redundancy of samples potentially belonging to the background. We then compute the saliency map by determining the statistical non-redundancy of each sample using a conditional graph model. Experimental results based on publicly available data sets show that SGNR provides promising results when compared with existing saliency approaches.
关键词： salient region detection,Non-redundancy,image segmentation
更新于2025-09-23 15:19:57
-
[IEEE 2019 IEEE International Conference on Telecommunications and Photonics (ICTP) - Dhaka, Bangladesh (2019.12.28-2019.12.30)] 2019 IEEE International Conference on Telecommunications and Photonics (ICTP) - Comparative Study on Perovskite Solar Cells Using Inorganic Transport Layers
摘要： We propose an effective framework for salient region detection in natural images based on the concept of self-guided statistical non-redundancy (SGNR). Salient regions are unique, because they have low information redundancy within a given image, while the rest of the scene may highly be redundant. We ?rst analyze the structural characteristics of the image using structured image elements (samples) and classify them as being non-redundant or redundant based on textural compactness and overall non-redundancy. This guides saliency detection toward regions with low information redundancy by considering explicitly high information redundancy of samples potentially belonging to the background. We then compute the saliency map by determining the statistical non-redundancy of each sample using a conditional graph model. Experimental results based on publicly available data sets show that SGNR provides promising results when compared with existing saliency approaches.
关键词： image segmentation,Non-redundancy,salient region detection
更新于2025-09-23 15:19:57
-
[IEEE 2019 16th China International Forum on Solid State Lighting & 2019 International Forum on Wide Bandgap Semiconductors China (SSLChina: IFWS) - Shenzhen, China (2019.11.25-2019.11.27)] 2019 16th China International Forum on Solid State Lighting & 2019 International Forum on Wide Bandgap Semiconductors China (SSLChina: IFWS) - Violet Chip Excited White LEDs for Sun-Like Lighting and Horticulture Lighting
摘要： In this work, facing pressure from both the increasing vulnerability to single event effects (SEEs) and design constraints of the power consumption, we have proposed a Coarse-Grained Reconfigurable Architecture (CGRA) processor. Our goal is to translate a user programmable redundancy to a guide for balancing energy consumption on the one hand and the reliability requirements on the other. We designed software (SW) and hardware (HW) approaches, coordinating them closely to achieve this purpose. The framework provides several user-assignable patterns of redundancy and the hardware modules to interpret well these patterns. A first version prototype processor, with the name EReLA (Explicit Redundancy Linear Array) has been implemented and manufactured with a CMOS technology. Stress tests based on alpha particle irradiation were conducted to verify the tradeoff between the robustness and the power efficiency of the proposed schemes.
关键词： fault tolerance,Data flow computing,redundancy,reconfigurable architectures
更新于2025-09-19 17:13:59
-
[IEEE 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus) - St. Petersburg and Moscow, Russia (2020.1.27-2020.1.30)] 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus) - Viability Analysis of Large Photovoltaic Power Plants as a Solution of Power Shortage in Iraq
摘要： In this work, facing pressure from both the increasing vulnerability to single event effects (SEEs) and design constraints of the power consumption, we have proposed a Coarse-Grained Reconfigurable Architecture (CGRA) processor. Our goal is to translate a user programmable redundancy to a guide for balancing energy consumption on the one hand and the reliability requirements on the other. We designed software (SW) and hardware (HW) approaches, coordinating them closely to achieve this purpose. The framework provides several user-assignable patterns of redundancy and the hardware modules to interpret well these patterns. A first version prototype processor, with the name EReLA (Explicit Redundancy Linear Array) has been implemented and manufactured with a m CMOS technology. Stress tests based on alpha particle irradiation were conducted to verify the tradeoff between the robustness and the power efficiency of the proposed schemes.
关键词： reconfigurable architectures,redundancy,Data flow computing,fault tolerance
更新于2025-09-19 17:13:59
-
[IEEE 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus) - St. Petersburg and Moscow, Russia (2020.1.27-2020.1.30)] 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus) - The Study of Three-dimensional Tissue-engineering Structures Obtained Using Laser Printing for Muscle Regeneration
摘要： Existing optimization methods to heterogeneous redundancy allocation problem often suffer from the local-trap problem in optimization, due to the rugged energy landscapes. In this paper, a new optimization paradigm based on the Markov chain Monte Carlo sampling is proposed for solving the heterogeneous redundancy allocation for multi-state systems. We address this in an optimization-by-sampling framework, and propose to sample the intricate distribution over the combinatorial space by a doubly adaptive sampling approach, where the target adaptation favors free random walk on the rugged energy landscape to substantially alleviate the local-trap problem by updating the target distribution on-the-fly, while the proposal adaptation helps improve the sampling efficiency by learning the proposal distribution based on chain history in optimization. Experimental results performed on a range of benchmark instances demonstrated the superiority of the proposed optimization approach compared with the state-of-the-art alternatives in terms of the solution quality or computational efficiency.
关键词： multi-state system,Optimization-by-sampling,Markov chain Monte Carlo,redundancy allocation problem
更新于2025-09-19 17:13:59
-
A Regional Photovoltaic Output Prediction Method Based on Hierarchical Clustering and the mRMR Criterion
摘要： Photovoltaic (PV) power generation is greatly affected by meteorological environmental factors, with obvious fluctuations and intermittencies. The large-scale PV power generation grid connection has an impact on the source-load stability of the large power grid. To scientifically and rationally formulate the power dispatching plan, it is necessary to realize the PV output prediction. The output prediction of single power plants is no longer applicable to large-scale power dispatching. Therefore, the demand for the PV output prediction of multiple power plants in an entire region is becoming increasingly important. In view of the drawbacks of the traditional regional PV output prediction methods, which divide a region into sub-regions based on geographical locations and determine representative power plants according to the correlation coefficient, this paper proposes a multilevel spatial upscaling regional PV output prediction algorithm. Firstly, the sub-region division is realized by an empirical orthogonal function (EOF) decomposition and hierarchical clustering. Secondly, a representative power plant selection model is established based on the minimum redundancy maximum relevance (mRMR) criterion. Finally, the PV output prediction for the entire region is achieved through the output prediction of representative power plants of the sub-regions by utilizing the Elman neural network. The results from a case study show that, compared with traditional methods, the proposed prediction method reduces the normalized mean absolute error (nMAE) by 4.68% and the normalized root mean square error (nRMSE) by 5.65%, thereby effectively improving the prediction accuracy.
关键词： minimum redundancy maximum relevance criterion,hierarchical clustering,photovoltaic,regional power output prediction
更新于2025-09-19 17:13:59
-
[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - High-efficient Cd-free CZTS solar cells achieved by nanoscale atomic layer deposited aluminium oxide
摘要： Existing optimization methods to heterogeneous redundancy allocation problem often suffer from the local-trap problem in optimization, due to the rugged energy landscapes. In this paper, a new optimization paradigm based on the Markov chain Monte Carlo sampling is proposed for solving the heterogeneous redundancy allocation for multi-state systems. We address this in an optimization-by-sampling framework, and propose to sample the intricate distribution over the combinatorial space by a doubly adaptive sampling approach, where the target adaptation favors free random walk on the rugged energy landscape to substantially alleviate the local-trap problem by updating the target distribution on-the-fly, while the proposal adaptation helps improve the sampling efficiency by learning the proposal distribution based on chain history in optimization. Experimental results performed on a range of benchmark instances demonstrated the superiority of the proposed optimization approach compared with the state-of-the-art alternatives in terms of the solution quality or computational efficiency.
关键词： Optimization-by-sampling,Markov chain Monte Carlo,multi-state system,redundancy allocation problem
更新于2025-09-19 17:13:59
-
[IEEE 2019 Photonics & Electromagnetics Research Symposium - Fall (PIERS - Fall) - Xiamen, China (2019.12.17-2019.12.20)] 2019 Photonics & Electromagnetics Research Symposium - Fall (PIERS - Fall) - Research of PAM-4 Modulated WDM-PON Architecture for 5G Millimeter-wave Hybrid Photonics-wireless Interface
摘要： Existing optimization methods to heterogeneous redundancy allocation problem often suffer from the local-trap problem in optimization, due to the rugged energy landscapes. In this paper, a new optimization paradigm based on the Markov chain Monte Carlo sampling is proposed for solving the heterogeneous redundancy allocation for multi-state systems. We address this in an optimization-by-sampling framework, and propose to sample the intricate distribution over the combinatorial space by a doubly adaptive sampling approach, where the target adaptation favors free random walk on the rugged energy landscape to substantially alleviate the local-trap problem by updating the target distribution on-the-fly, while the proposal adaptation helps improve the sampling efficiency by learning the proposal distribution based on chain history in optimization. Experimental results performed on a range of benchmark instances demonstrated the superiority of the proposed optimization approach compared with the state-of-the-art alternatives in terms of the solution quality or computational efficiency.
关键词： Markov chain Monte Carlo,multi-state system,Optimization-by-sampling,redundancy allocation problem
更新于2025-09-19 17:13:59
-
Business Risk-based Redundancy Points Identification in Synchronous Digital Hierarchy Optical Networks
摘要： Locating redundancy points in a Synchronous Digital Hierarchy optical network is a challenging task for service managers. Here, we present a model capable of locating suitable points for the application of asset redundancy to reduce disruptions to the operation of the network, based on the risk to the business. The model was implemented by means of an algorithm called Asset Redundancy Location Indicator (ASP), which performs fault analysis based on the dependence between the elements of the network and the risk of failure. The output of the model allows network administrators to make better decisions when defining critical network redundancy points. A case study was carried out using the ARPA2 reference network. The paper also reports on the case study results.
关键词： Risk Management,Synchronous Digital Hierarchy Optical Networks,Redundancy in optical networks,Service Management
更新于2025-09-10 09:29:36