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- 2019
- self-organization map
- photovoltaic equipment
- probabilistic neural network
- incremental learning
- Optoelectronic Information Science and Engineering
- Donghua University
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[IEEE 2019 34th Symposium on Microelectronics Technology and Devices (SBMicro) - Sao Paulo, Brazil (2019.8.26-2019.8.30)] 2019 34th Symposium on Microelectronics Technology and Devices (SBMicro) - Realistic Simulations and Design of GaAs Solar Cells produced by Molecular Beam Epitaxy
摘要： Recently, mobile networking systems have been designed with more complexity of infrastructure and higher diversity of associated devices and resources, as well as more dynamical formations of networks, due to the fast development of current Internet and mobile communication industry. In such emerging mobile heterogeneous networks (HetNets), there are a large number of technical challenges focusing on the efficient organization, management, maintenance, and optimization, over the complicated system resources. In particular, HetNets have attracted great interest from academia and industry in deploying more effective solutions based on artificial intelligence (AI) techniques, e.g., machine learning, bio-inspired algorithms, fuzzy neural network, and so on, because AI techniques can naturally handle the problems of large-scale complex systems, such as HetNets towards more intelligent and automatic-evolving ones. In this paper, we discuss the state-of-the-art AI-based techniques for evolving the smarter HetNets infrastructure and systems, focusing on the research issues of self-configuration, self-healing, and self-optimization, respectively. A detailed taxonomy of the related AI-based techniques of HetNets is also shown by discussing the pros and cons for various AI-based techniques for different problems in HetNets. Opening research issues and pending challenges are concluded as well, which can provide guidelines for future research work.
关键词： ant colony optimization,self-organization networks,heterogeneous networks,genetic algorithms,Artificial intelligence
更新于2025-09-19 17:13:59
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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Photovoltaic Power Generation with Module-Based Capacitive Energy Storage
摘要： The design of wireless sensor networks (WSNs) has a new paradigm that implies a separation of the underlying communication functionalities from the upper-layer protocols with the goal of leveraging the reusability of protocols. This paper provides an overview of the proposed Rings infrastructure protocol (RIP), which forms a generic flexible communication infrastructure. RIP discovers the physical topological rings that exist in an arbitrary WSN topology and produces an infrastructure of concentric rings (Rings) that reflects the physical rings of nodes in the field. The resulting infrastructure guarantees the proximity of nodes. Neighbor nodes in this logical overlay are also physical neighbors. Each ring in Rings is assigned one or more mobile robots that act as probes to access the data and monitor the ring. Access nodes are selected dynamically at each ring to act as anchors for the probes visiting their associated rings. The Rings infrastructure supports both multi-hop and data-mule communication models with a high degree of reliability. This paper focuses on creating the infrastructure: we justify its correctness and efficiency. A rough cost model that predicts the cost of communication over Rings is provided. The performance of the infrastructure is evaluated by implementing and simulating some of the upper-layer processes. Simulation-based comparisons with the multi-scale communication approach are provided, and the results show that the Rings infrastructure is both robust and efficient in supporting upper-layer processes.
关键词： Generic,overlay,rings,infrastructure,protocols,sensor networks,mobility,self-organization
更新于2025-09-16 10:30:52
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Quinonoid Zwitterion: an Amphiphilic Cathode Interlayer with Initial Thickness-Insensitive and Self-Organizing Properties for Inverted Polymer Solar Cells
摘要： Orthogonal solvent processability is generally considered one of the key requirements for an efficient interfacial material. Here we showed that in inverted polymer solar cells (PSCs), solvent orthogonality is not required for an effective and reliable cathode interlayer. A quinonoid zwitterionic molecule with amphiphilic property (dissolved in both methanol and o-dichlorobenzene (o-DCB)) named ZW-Bu was first applied as the cathode interlayer in the inverted PSCs. For three different photoactive systems, the devices with ZW-Bu CBL exhibited better performance than those with commonly used ZnO CBL. Most importantly, the device efficiency was fairly insensitive to the initial thickness of ZW-Bu. In addition, due to the high surface energy of ZW-Bu film, it was successfully used as self-organized CBL in P3HT:PC61BM system, yielding a desirable efficiency compared to the PSCs fabricated via layer-by-layer deposition method.
关键词： polymer solar cells,non-orthogonal solvent,self-organization,quinonoid zwitterion,initial thickness-insensitivity
更新于2025-09-12 10:27:22
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[IEEE 2019 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD) - Winterton, South Africa (2019.8.5-2019.8.6)] 2019 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD) - Failure Analysis of Photovoltaic Equipment Based on ISOMPNN
摘要： ISOMPNN, a new incremental learning method based on the self-organizing map (SOM) and probabilistic neural network (PNN) is proposed to tackle the problem of model self-adaptation when new categories of equipment failures occur. It uses a modular SOM to learn each category of photovoltaic device data and then constructs a PNN using the prototype vector of each category of data after training as a model neuron of that category. Incremental SOMPNN can incrementally learn new classes of different data to complement existing models. In the incremental learning process, only the new data is used to adjust the model, instead of reusing the original data, reducing training time and reducing storage space. Its effectiveness can be well verified in known photovoltaic device data.
关键词： self-organization map,photovoltaic equipment,probabilistic neural network,incremental learning
更新于2025-09-11 14:15:04
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[Micro/Nano Technologies] Micro and Nano Fabrication Technology Volume 1 || Fabrication of Metallic Nanodot Arrays
摘要： Metal nanodot arrays exhibit unique optical characteristics, and they are expected to find widespread applications in biosensors and various optical devices. In this section, simple and efficient manufacturing processes are introduced for metal nanodot arrays. These processes are based on the combination of thin metal film coatings deposited on substrates and thermal dewetting. The first process discussed herein is a conventional thermal dewetting method. With this method, it is shown that the average dot diameter can be controlled based on the chosen process conditions. The second process is based on the use of grid patterning on coated metal films. This process can allow fabrication of nanodot arrays with uniform dot diameters and achieve highly ordered alignment of dots. The third process generates a metal nanodot array based on a self-organization manner on a nanogrid-patterned substrate. It constitutes a high-productivity process based on the transfer of the metal nanodot array to an adhesive film. The basic mechanisms underlying these processes are discussed herein.
关键词： Productivity,Metal coating,Dot transfer,Surface energy,Metal nanoparticles,Agglomeration,Nano plastic forming,Optical characteristics,Grid patterning,Self-organization,Biosensors,Thermal dewetting
更新于2025-09-10 09:29:36
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Self-organized Ge nanospherical gate/SiO2/Si0.15Ge0.85-nanosheet n-FETs featuring high ON-OFF drain current ratio
摘要： We reported experimental fabrication and characterization of Si0.15Ge0.85 n-MOSFETs comprising a gate-stacking of Ge-nanospherical gate/SiO2/Si0.15Ge0.85-nanosheet on SOI (100) substrate in a self-organization approach. This unique gate-stacking heterostructure is simultaneously produced in a single oxidation step as a consequence of an exquisitely-controlled dynamic balance between the concentrations of oxygen, Si, and Ge interstitials at 900oC. Process-controlled tunability of nanospherical gate of 60?100nm in diameter, gate oxide thickness of 3nm, and Si0.15Ge0.85 nanosheet with compressive strain of -2.5% was achieved. Superior gate modulation is evidenced by subthreshold slope of 150mV/dec and ION/IOFF > 5×108 (IOFF < 10-6 μA/μm and ION > 500 μA/μm) measured at VG = +1V, VD = +1V, and T = 80K for our device with channel length of 75nm.
关键词： self organization,Ge-gate,SiGe nanosheet,junctionless FET
更新于2025-09-10 09:29:36
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Transflective Mesoscopic Nanoparticles Synthesized in the Leidenfrost Droplet as Black Absorbers
摘要： Here, a new class of transflective oxide metaparticles that are able to capture solar radiation in a selective manner based on their size and morphology is demonstrated. The metaparticles possess an electronic polarization response “polarizonics” and show a specular reflective color at the visible frequencies. As a specific highlight, a resonating ultrathin reflective while transparent metacomposite, i.e., a transflective coating is designed. Further, a perfect solar absorber is devised whose function is morphology controlled and supplemented by the transflective coating via the selective interference concept. The multidisciplinary approach presented here enables design of materials with customized functionalities, bridging the sustainable nanochemistry to nanoengineering and proposes a new way for solving challenges in energy and solar harvesting.
关键词： perfect absorber,self-organization,the Leidenfrost chemistry,transflective coating,copper oxide
更新于2025-09-09 09:28:46