Aqueous zinc batteries using environment-friendly and sustainable quinone cathodes realize a long life cycle, high active mass loading, excellent flexibility, showing its potential for application in wearable electronics.

The extensive commercialization of practical solid-state batteries (SSBs) necessitates the development high-loading cathodes with fast charging capability. However, electrochemical kinetics are severely delayed in thick due to tortuous ion transport pathways and slow solid-solid diffusion, which limit achievable capacity SSBs at high current densities. In this work, we propose a conductivity gradient cathode low-tortuosity enable facile counterbalance concentration gradient, thereby...

The industrial Internet of things (IIoT) can be regarded as machines, computers, and people enabling intelligent operations using advanced data analytics. It is a network systems, objects, platforms, applications that communicate share intelligence. the biggest most important part overall picture. This paper provides brief introduction to IIoT.

By tailoring the phases of Mo_xC, α-MoC_1−x exhibits better Li-O₂ battery performance than β-Mo₂C with a lower charge-transfer resistance and O₂ adsorption.

This paper introduces a novel monitoring method related to key-performance-indicators (KPIs), specifically tailored for the hybrid electric vehicle (HEV) powertrain system. The proposed establishes new KPI that better reflects performance of HEV Through application partial least squares and contribution plot method, it excels in minimizing data scale precisely faults. Diverging from current methodologies, this demands minimal prior knowledge solely relies on previously observed data....

Nonlinearity may cause a model deviation problem, and hence, it is challenging problem for process monitoring. To handle this issue, local kernel principal component analysis was proposed, achieved satisfactory performance in static For dynamic process, the expectation value of each variable changes over time, cannot be replaced with constant value. As such, data structure wrong, which causes problem. In paper, we propose new two-step analysis, extracts components then analyzes them by...

Abstract Traditional multivariate statistics‐based process monitoring (MSPM) methods are static algorithms, and the “time lag shift” method (TLSM) is most commonly used approach to handle dynamic issue. This paper proves in theory that two drawbacks exist TLSM‐based approaches: information unrelated real‐time data also analyzed, can be predicted by historical counted repeatedly both data. adopts orthonormal subspace analysis (OSA) these issues. OSA successfully separate into (the component)...

With consideration of the intermittency renewable generation and uncertain load, a regional control strategy is presented to smooth unscheduled power fluctuation in this letter. Then, an affine arithmetic-based modeling method proposed describe tracking characteristic dispatchable resources (DGRs), based on which interval flow solutions with narrower ranges can be obtained. Finally, algorithm applied modified IEEE 33-bus distribution system demonstrate its effectiveness.

To overcome the shortage of traditional temperature sensors, this paper adopts infrared thermal imaging technology for measurement. avoid spatial information loss issue during image data vectorization process, adopted relationship between pixels in principal component analysis (PCA) model training, which is called information-based PCA (SIPCA). Then, also used fault localization method to enhance location performance. Tested by an experimental tank system, proposed achieves better...

A remote-controlled home automation system basing on the wireless sensor network, embedded and GPRS was developed. This allows user to control equipments in home, collect data about appliance status weather condition, receive alarm information of intruder fire through Chinese instant message mobile service. The test result shows that can work according deigned function. advantages this are easy set up, convince use interface friendly people.

Orthonormal subspace analysis (OSA) is proposed for handling the decomposition issue and principal component selection in traditional key performance indicator (KPI)-related process monitoring methods such as partial least squares (PLS) canonical correlation (CCA). However, it not appropriate to apply static OSA algorithm a dynamic since pays no attention auto-correlation relationships variables. Therefore, novel (DOSA) capture auto-correlative behavior of variables on basis KPIs accurately....

The partial least squares (PLS) algorithm is a commonly used key performance indicator (KPI)-related monitoring method. To address nonlinear features in the process, this paper proposes neural component analysis (NCA)-PLS, which combines PLS with NCA. (NCA)-PLS realizes all principles of by introducing new loss function and principal selection mechanism to Then, gradient descent formulas for network training are rederived. NCA-PLS can extract components large correlations KPI variables adopt...

Highway third-level faults can significantly deteriorate the reliability and performance of hybrid electric vehicle (HEV) powertrains. This study presents a novel process monitoring method aimed at addressing this issue. We propose multivariate statistical based on dynamic nonlinear improvement, namely neural component analysis (DNCA). does not require establishment precise analytical models; instead, it only necessitates acquiring data from HEV Through numerical simulation real experiments,...

The classification for similar features classes is quite difficult task in many existing pattern-recognition systems. When the amount of samples insufficient, neural networking training hard. dimension reduction, classification, clustering etc serial steps recognition process takes such much time that practical recognizing application ease to meet real requirement. new method looking forward to. This paper presents a fast, simple and robust classifier, which winner has been traced marked...

A LED visible light communication system is proposed based on frequency division multiplexing (FDM) technique. Which can transmit analog and digital signals by different channels with a single LED. The main idea of this to modulate above two carriers, then add them together through an adder finally drive receiving modulated amplified, filtered, reshaped, demodulated restore the original input signal.

In this letter, a wireless image transmission system is proposed and presented based on the visible light communication (VLC).This consists of OV7670 acquisition module, STM32, encoding module FPGA, modulation driving circuit LED.IPPM, which has advantages high average transmit power large SNR, firstly for applying in system.Theoretical design experiment verification are carried out.The agreement between simulated measured results good.The can improve capacity decrease bit error ratio.It...

In this paper, the extraction for noised saturated sinusoidal signal is proposed electro-magnetic coupling sensing system. The method based on Least Squares fitting Method to extract amplitude and phase from signal. According extracted phase, we can get a remove sample with large error by comparing it original Then, LSM applied again new group of data compute phase. This iterated until meets conditions. evaluated simulation, which also acquired real results show that if there are enough...