This paper focuses on the typical mobile data assets of telecom operators and explores their internal relations. Furthermore, we propose a novel solution model fusion for operator's diverse deeper discussion scene-driven applications. For scenario-driven demand, construct varied views scenario-based applications, make an introduction constructing knowledge graph as well. Eventually, some application patterns assets.

Nowadays, electricity theft has been a major problem worldwide. Although many single-classification algorithms or an ensemble of single learners (i.e., homogeneous learning) have proven able to automatically identify suspicious customers in recent years, after the accuracy these methods reaches certain level, it still cannot be improved even if continues optimized. To break through this bottleneck, heterogeneous learning method with stacking integrated structure different strong individual...

We demonstrate that an ultrabroadband, extremely high index of refraction can be realized from the thin window-type terahertz metamaterials composed strongly multilayer coupled unit cells. By drastically increasing effective permittivity by means intense capacitive coupling and reducing diamagnetic effect using a metamaterial structure, peak refractive 70 at resonant frequency, along with low-frequency quasi-static value over 18 were obtained for single-layer ring metamaterial. A relative...

Abstract Achromatic metalenses in the mid-wave infrared (3–5 μ m), known for their light weight, CMOS compatibility, and ultra-compactness, offer significant potential astronomy, security inspections, health security. However, previous endeavors have been hindered by underdeveloped material technology relatively low efficiency. To address these challenges, this study introduces an enhanced-efficiency achromatic double-layer metalens, featuring a top-layer ZnS nanopillar array bottom-layer Si...

We report the performance of a chirped laser in IMDD-based transmissions and we show that interplay between chirp fiber dispersion can be very attractive for long distance PONs if adaptive OFDM modulation is used.

Fiber dispersion coupled with chirp parameter of the emitting laser impacts optical transmission system performance. causes propagating pulses to spread and overlap, produces a wavelength shift arising from intensity variation directly modulated (DML). For systems, orthogonal frequency division multiplexing (OFDM) modulation technique has proved be an attractive approach overcome fiber impairments in access networks as well long haul networks. Coupled Levin Campello bit-loading algorithm,...

We compare the performances of IMDD AMOOFDM transmissions in both amplified and unamplified configurations for long distance PON networks with 1:32 1:64 split ratios. Up to 40Gb/s bit rate has been demonstrated.

Get PDF Email Share with Facebook on X Post reddit LinkedIn Add to Mendeley BibSonomy WeChat Citation Copy Text B. Le Guyader, F. Saliou, L. Guillo, M. Leroux, R. Xia, Charbonnier, P. Chanclou, and J. Pascal, "Dual Reach Extender based Optical Amplification for G-PON symmetrical 10G-PON systems," in National Fiber Optic Engineers Conference, OSA Technical Digest (Optica Publishing Group, 2012), paper NTu1J.2. Export BibTex Endnote (RIS) HTML Plain alert Save article

Installation of dynamic reactive power (VAR) compensation equipment can effectively improve system voltage stability. However in many published research papers, the optimization methods for VAR planning are based on static stability analysis, which is appropriate planning. In this research, problem optimal decomposed into two sub-problems, i.e. siting and sizing problem, analysis. Linear programming models established sub-problems solved turn to find results satisfying transient constraints...

Reach Extenders based on Semiconductor Optical Amplifiers are experimented a commercial prototype XGPON1 system. Bidirectional performances evaluated and improved using novel SOA operation. Up to 50dB of optical budget is obtained.

Nowadays, energy theft has been a major problem worldwide. Most existing machine learning algorithms require large amounts of labeled data to train and build detection models, but the cost acquiring is very high. In this paper, semi-supervised method for electricity based on cooperative training generative adversarial network (CT-GAN) proposed avoid poor effect due little data. The two advantages. first semisupervised which can solve defect that deep convolutional model easy overfit leads...

Voltage fluctuations caused output variation in the distributed energy system (such as solar, photovoltaic, and wind) produce flickers. The extraction of voltage flicker envelope parameters accurate calculation values are important for detection. Traditional digital filters need to be calculated according sampling frequency before they can designed so that meter only sample at a fixed frequency. To overcome shortcomings filters, new method measuring flickers is presented this study. proposed...

This paper presents an analysis of the impact demand response on island power system operation. Demand responsive HVACs and battery storages are taken as example rural grid participant. Day-ahead real-time scheduling a discussed. handles problem electricity market day-ahead clearance, iterative algorithm is presented to solve problem. Real-time aims respond forecasted deviation in renewable generation load, solved by minimizing line loss. at different temporal scales situation using sets...

This publisher’s note contains a correction to Opt. Lett. 49 , 2505 ( 2024 ) 10.1364/OL.520642 .

The diffractive deep neural network (D 2 NN) enables all-optical implementation of machine learning tasks. During the training, Rayleigh–Sommerfeld (RS) diffraction integral is employed for connecting neurons between neighboring hidden layers. RS formula can be rewritten as a transmission matrix (TM), which allows parallel computation multiple vectorized light fields. However, TM has large size, demanding substantial computational resources, and resulting in long training time. In this...

We propose a complex-amplitude diffractive processor based on deep neural networks (D

This paper presents an investigation of the miniaturized radiators for microwave hyperthermia. The physical models are established by using high frequency structure simulator(HFSS) 2.4GHz bare antenna, half-bare antenna and coaxial slot hyperthermia, tested results Vector Network Analyzer also given compared with simulation from HFSS, providing guidance to develop MEMS-based

The introduction of co-construction and sharing makes the network structure increasingly complex. 5G should meet business needs both operators. How to evaluate perception users more comprehensively has become a new challenge. This paper proposes evaluation method based on perceptual peer-to-peer. big data modeling is used determine judgment criteria for perceived peer-to-peer, difference ranking selected intuitively reflect degree area where community be evaluated located. research can...