Design and implementation of remote meter reading system in smart grid

Every progress of science and technology will drive the reform of other undertakings, with the continuous improvement of computer network technology, power grid operation has also appeared technical reform, the outstanding performance is the operation and use of remote meter reading system. Through the analysis and contrast of the relevant data, the paper specifi cally discusses the design and implementation of the remote meter reading system in the smart grid, hoping that through the introduction of this paper can eff ectively drive the reform of the operation of the grid, improve the stability, security and reliability of the operation of China’s power grid

Design and implementation of comprehensive sign monitor based on Internet +

Along with our country has accelerated into the aging society, the majority of the elderly medical and health problems, the shortage of medical resources, diffi cult to see a doctor, long cycle and other problems become increasingly prominent. In order to provide the elderly with better and more convenient health status monitoring, this paper proposes a comprehensive sign monitor based on Internet +. In this paper, the overall design framework of the comprehensive signs monitor is studied, STM32 processor is used as the CPU, and the physiological signifi cance and measurement methods of each physical sign parameter (blood oxygen, blood pressure, body temperature, etc.) are introduced. It allows doctors to obtain patients’ health data remotely, analyze patients’ health status, and achieve timely prevention and diagnosis and treatment, which provides great convenience for doctors and patients

The Impact of Board Capital on Performance of China’s Listed Tourism Companies Based on the Moderating Effect of Leadership Structure

Board capital shape how directors govern and offer advice to the firm and affect the ideas and resources that they provide. Based on data analyzed over a six-year period with a sample of 24 listed tourism companies in China, this paper examines the board capital and the moderating effect of leadership structure on firm performance. The results indicate that: Directors’ educational level has a negative effect on firm performance, and board’ leadership structure negatively moderates this effect; However, board’s leadership structure positively moderate the correlation between the board’s political resources and firm performance. The enlightenment of this article is that board capital in China’s listed tourism companies has not been fully utilized, and leadership structure positively moderates the correlation between board’s political resources and firm performance

Liquid-Liquid Phase Separation in an Elastic Network

Living and engineered systems rely on the stable coexistence of two interspersed liquid phases. Yet surface tension drives their complete separation. Here we show that stable droplets of uniform and tuneable size can be produced through arrested phase separation in an elastic matrix. Starting with an elastic polymer network swollen by a solvent mixture, we change the temperature or composition to drive demixing. Droplets nucleate and grow to a stable size that is tuneable by the network cross-linking density, the cooling rate, and the composition of the solvent mixture. We discuss thermodynamic and mechanical constraints on the process. In particular, we show that the threshold for macroscopic phase separation is altered by the elasticity of the polymer network, and we highlight the role of internuclear correlations in determining the droplet size and polydispersity. This phenomenon has potential applications ranging from colloid synthesis and structural colour to phase separation in biological cells.Comment: 6 figure

Spectral Efficiency Analysis of Uplink-Downlink Decoupled Access in C-V2X Networks

The uplink (UL)/downlink (DL) decoupled access has been emerging as a novel access architecture to improve the performance gains in cellular networks. In this paper, we investigate the UL/DL decoupled access performance in cellular vehicle-to-everything (C-V2X). We propose a unified analytical framework for the UL/DL decoupled access in C-V2X from the perspective of spectral efficiency (SE). By modeling the UL/DL decoupled access C-V2X as a Cox process and leveraging the stochastic geometry, we obtain the joint association probability, the UL/DL distance distributions to serving base stations and the SE for the UL/DL decoupled access in C-V2X networks with different association cases. We conduct extensive Monte Carlo simulations to verify the accuracy of the proposed unified analytical framework, and the results show a better system average SE of UL/DL decoupled access in C-V2X.Comment: 6pagaes,5 figures, globecom 202

IF2Net: Innately Forgetting-Free Networks for Continual Learning

Continual learning can incrementally absorb new concepts without interfering with previously learned knowledge. Motivated by the characteristics of neural networks, in which information is stored in weights on connections, we investigated how to design an Innately Forgetting-Free Network (IF2Net) for continual learning context. This study proposed a straightforward yet effective learning paradigm by ingeniously keeping the weights relative to each seen task untouched before and after learning a new task. We first presented the novel representation-level learning on task sequences with random weights. This technique refers to tweaking the drifted representations caused by randomization back to their separate task-optimal working states, but the involved weights are frozen and reused (opposite to well-known layer-wise updates of weights). Then, sequential decision-making without forgetting can be achieved by projecting the output weight updates into the parsimonious orthogonal space, making the adaptations not disturb old knowledge while maintaining model plasticity. IF2Net allows a single network to inherently learn unlimited mapping rules without telling task identities at test time by integrating the respective strengths of randomization and orthogonalization. We validated the effectiveness of our approach in the extensive theoretical analysis and empirical study.Comment: 16 pages, 8 figures. Under revie

SpecHD: Hyperdimensional Computing Framework for FPGA-based Mass Spectrometry Clustering

Mass spectrometry-based proteomics is a key enabler for personalized healthcare, providing a deep dive into the complex protein compositions of biological systems. This technology has vast applications in biotechnology and biomedicine but faces significant computational bottlenecks. Current methodologies often require multiple hours or even days to process extensive datasets, particularly in the domain of spectral clustering. To tackle these inefficiencies, we introduce SpecHD, a hyperdimensional computing (HDC) framework supplemented by an FPGA-accelerated architecture with integrated near-storage preprocessing. Utilizing streamlined binary operations in an HDC environment, SpecHD capitalizes on the low-latency and parallel capabilities of FPGAs. This approach markedly improves clustering speed and efficiency, serving as a catalyst for real-time, high-throughput data analysis in future healthcare applications. Our evaluations demonstrate that SpecHD not only maintains but often surpasses existing clustering quality metrics while drastically cutting computational time. Specifically, it can cluster a large-scale human proteome dataset-comprising 25 million MS/MS spectra and 131 GB of MS data-in just 5 minutes. With energy efficiency exceeding 31x and a speedup factor that spans a range of 6x to 54x over existing state of-the-art solutions, SpecHD emerges as a promising solution for the rapid analysis of mass spectrometry data with great implications for personalized healthcare