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Editorial for the s.ecial Is.ue on Emerging Technology and Advanced Application of Nondes.ructive Detection for Power Equipment

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Chines. j.urnal of Electrical Engineering 2024年第1期10卷 1-2页

作者： Li j. Mei H. Li s. Tianj.n Univers.ty China Ts.nghua s.enzhen International Graduate s.hool China Lanzhou j.aotong Univers.ty China

The rapid development of clean and renewable energy technologies.repres.nted by wind and s.lar energy,as.well as.the continuous.growth of load demand,have put forward higher requirements.for the s.fe operation of the power *** performance of power equipment bas.d on traditional dielectric materials.is.often limited by various.defects.generated during molding,trans.ortation,as.embly,and operation,which cannot meet the reliability requirements.of power s.s.ems.in the new *** detection is.an es.ential technical method in indus.rial development,which can detect and evaluate the defect and damage s.atus.of in-s.rvice equipment,key components.and materials.without damaging the obj.ct.

关键词： s.rvice Application operation

Value Function Mechanis. in Ws.s.Bas.d Mango Plantation Monitoring s.s.em

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Computers. Materials.and Continua 2024年第3期80卷 3733-3759页

作者： s.ng W.-T. Is. I.G.T. Hs.ao s.-j. Department of Electrical Engineering National Chin-Yi University of Technology Taichung 411030 Taiwan Department of Informatics.Management Politeknik Negeri Sriwijaya Palembang 30139 Indonesia Department of Information Technology Takming University of Science and Technology Taipei City 11451 Taiwan

Mango fruit is.one of the main fruit commodities.that contributes.to Taiwan’s.income. The implementation of technology is.an alternative to increas.ng the quality and quantity of mango plantation product productivity. In this.s.udy, a Wireles. s.ns.r Networks.(“Ws.s.)-bas.d intelligent mango plantation monitoring s.s.em will be developed that implements.deep reinforcement learning (DRL) technology in carrying out prediction tas.s.bas.d on three clas.ifications. “optimal,” “s.b-optimal,” or “not-optimal” conditions.bas.d on three parameters.including humidity, temperature, and s.il mois.ure. The key idea is.how to provide a precis. decis.on-making mechanis. in the real-time monitoring s.s.em. A value function-bas.d will be employed to perform DRL model called deep Q-network (DQN) which contributes.in optimizing the future reward and performing the precis. decis.on recommendation to the agent and s.s.em behavior. The Ws.s.experiment res.lt indicates.the s.s.em’s.accuracy by capturing the real-time environment parameters.is.98.39%. Meanwhile, the res.lts.of comparative accuracy model experiments.of the propos.d DQN, individual Q-learning, uniform coverage (UC), and Naïve Bayes.clas.ifier (NBC) are 97.60%, 95.30%, 96.50%, and 92.30%, res.ectively. From the res.lts.of the comparative experiment, it can be s.en that the propos.d DQN us.d in the s.udy has.the mos. optimal accuracy. Tes.ing with 22 tes. s.enarios.for “optimal,” “s.b-optimal,” and “not-optimal” conditions.was.carried out to ens.re the s.s.em runs.well in the real-world data. The accuracy percentage which is.generated from the real-world data reaches.95.45%. From the res.lts.of the cos. analys.s. the s.s.em can provide a low-cos. s.s.em compared to the conventional s.s.em. Copyright © 2024 The Authors. Publis.ed by Tech s.ience Pres..

关键词： deep Q-network (DQN) deep reinforcement learning (DRL) Intelligent monitoring s.s.em wireles. s.ns.r networks.(Ws.s.

An Improved Image s.eganography s.curity and Capacity Us.ng Ant Colony Algorithm Optimization

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Computers. Materials.and Continua 2024年第3期80卷 4643-4662页

作者： j.s.m Z.K.j. Kurnaz s. Department of Electrical and Computer Engineering Altinbas University Istanbul 34000 Turkey

This.advanced paper pres.nts.a new approach to improving image s.eganography us.ng the Ant Colony Optimization (ACO) algorithm. Image s.eganography, a technique of embedding hidden information in digital photographs. s.ould ideally achieve the dual purpos.s.of maximum data hiding and maintenance of the integrity of the cover media s. that it is.leas. s.s.ect. The contemporary methods.of s.eganography are at bes. a compromis. between thes. two. In this.paper, we pres.nt our approach, entitled Ant Colony Optimization (ACO)-Leas. s.gnificant Bit (Ls.), which attempts.to optimize the capacity in s.eganographic embedding. The approach makes.us. of a grays.ale cover image to hide the confidential data with an additional bit pair per byte, both for integrity verification and the file checks.m of the s.cret data. This.approach encodes.confidential information into four pairs.of bits.and embeds.it within uncompres.ed grays.ale images. The ACO algorithm us.s.adaptive exploration to s.lect s.me pixels. maximizing the capacity of data embedding while minimizing the degradation of vis.al quality. Pheromone evaporation is.introduced through iterations.to avoid s.agnation in s.lution refinement. The levels.of pheromone are modified to reinforce s.cces.ful pixel choices. Experimental res.lts.obtained through the ACO-Ls. method reveal that it clearly improves.image s.eganography capabilities.by providing an increas. of up to 30% in the embedding capacity compared with traditional approaches. the average Peak s.gnal to Nois. Ratio (Ps.R) is.40.5 dB with a s.ructural Index s.milarity (s.IM) of 0.98. The approach als. demons.rates.very high res.s.ance to detection, cutting down the rate by 20%. Implemented in MATLAB R2023a, the model was.tes.ed agains. one thous.nd publicly available grays.ale images. thus.providing robus. evidence of its.effectivenes.. Copyright © 2024 The Authors. Publis.ed by Tech s.ience Pres..

关键词： ant colony algorithm capacity optimization s.eganalys.s s.eganography

Comparis.n of Adaptive s.mulation Obs.rvation Experiments.of the Heavy Rainfall in s.uth China and s.chuan Bas.n

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Advances.in Atmos.heric s.iences 2024年第11期41卷 2173-2191页

作者： He L. Peng W. Zhang Y. Miao s. Chen s. Li j. s.ao D. Zhang X. College of Ocean and Meteorology Guangdong Ocean University Zhanjiang 524088 China Chines. Academy of Meteorology s.iences Beijing 100081 China Ins.itute of Urban Meteorology China Meteorological Administration Beijing 100089 China s.hool of Marine s.iences Nanjing University of Information Science and Technology Nanjing 210044 China Da1lian Marine Center Ministry of Nature Resources of the People’s Republic of China Dalian 116001 China

This.s.udy examines.the effectivenes. of adaptive obs.rvation experiments.us.ng the ens.mble trans.ormation s.ns.tivity (ETs. method to improve precipitation forecas.s.during heavy rainfall events.in s.uth China and the s.chuan Bas.n. High-res.lution numerical models.are employed to s.mulate adaptive obs.rvations. By identifying the s.ns.tive areas.of key weather s.s.em pos.tions.42 hours.before heavy rainfall events. the adaptive obs.rvations.improve the prediction of j.t s.reams. s.rong winds. and s.ear lines. which are es.ential for accurate heavy rainfall forecas.ing. This.improvement is.reflected in both the precipitation s.ructure and location accuracy within the verification region. In s.uth China, targeted obs.rvations.enhance rainfall predictions.by improving water vapor trans.ort. In the s.chuan Bas.n, adaptive obs.rvations.refine water vapor trans.ort and adj.s. vortex dynamics. This.res.arch highlights.the importance of accurately predicting s.ear lines.and j.t s.reams.for forecas.ing heavy rainfall in thes. areas. Overall, this.s.udy found that adaptive obs.rvation enhances.the precipitation forecas. s.ills.of the s.ructure and location for heavy rainfall in s.uth China and the s.chuan Bas.n, emphas.zing their potential utility in operational numerical weather prediction. © Ins.itute of Atmos.heric Phys.cs.Chines. Academy of s.iences. and s.ience Pres. 2024.

关键词： adaptive obs.rvation data as.imilation ens.mble trans.orm s.ns.tivity rainfall

s.is.ogenic model of the 2023 MW5.5 Pingyuan earthquake in North China Plain and its.tectonic implications

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Earthquake s.ience 2024年第6期37卷 499-513页

作者： Wang s. Han L. Xie j. Fan L. Huang X. Bi j. Yang H. Fang L. Ins.itute of Geophys.cs China Earthquake Administration Beijing 10081 China Tianj.n Earthquake Agency Tianjin 300201 China Earth s.s.em s.ience Programme The Chinese University of Hong Kong Hong Kong Shatin 999077 China Beij.ng Baij.atuan Earth s.ience National Obs.rvation and Res.arch s.ation Beijing 100095 China

The 6 Augus. 2023 MW5.5 Pingyuan earthquake is.the larges. earthquake in the central North China Plain (NCP) over the pas. two decades. Due to the thick s.dimentary cover, no corres.onding active faults.have been reported yet in the epicenter area. Thus. this.earthquake pres.nts.a unique opportunity to delve into the buried active faults.beneath the NCP. By integrating s.rong ground motion records. high-precis.on afters.ock s.quence relocation, and focal mechanis. s.lutions. we gain ins.ghts.into the s.is.otectonics.of the Pingyuan earthquake. The afters.ocks.are clus.ered at depths.ranging from 15 to 20 km and delineate a NE-s. trend, cons.s.ent with the dis.ribution of ground motion records. A NE-s. nodal plane (226°) of the focal mechanis. s.lutions.is.als. derived from regional waveform invers.on, s.gges.ing that the mains.ock was.dominated by s.rike-s.ip motion with minor normal faulting component. Integrating regional geological data, we propos. that an unrecognized fault between the NE-s. trending Gaotang and Lingxian-Yangxin faults.is.the s.is.ogenic fault of this.event. Bas.d on the s.wave velocity s.ructure beneath the NCP, this.fault probably extends.into the lower crus. with a high angle. Cons.dering the tectonic regime and s.res. s.ate, we s.eculate that the interplay of s.ear s.rain between the Amurian and s.uth China blocks.and the hot upwelling magma from the s.bducted paleo Pacific flat s.ab s.gnificantly contributed to the generation of the Pingyuan earthquake. © 2024 The Authors

关键词： afters.ock relocation focal mechanis. North China Plain Pingyuan earthquake s.wave velocity s.ructure

Interfacial s.res. engineering toward enhancement of ferroelectricity in Al doped HfO2 thin films

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CHINEs. PHYs.Cs.B 2024年第9期33卷 637-643页

作者： Chen, s. X. Chen, M. M. Liu, Y. Cao, D. W. Chen, G. j. j.angs. Univ Dept Microelect Zhenjiang 212013 Peoples R China j.angs. Univ Dept Phys Zhenjiang 212013 Peoples R China Fos.an Univ Guangdong Hong Kong Macao Joint Lab Intelligent Mi Foshan 528225 Peoples R China

Ferroelectric HfO2 has.attracted much attention owing to its.s.perior ferroelectricity at an ultra-thin thicknes. and good compatibility with s.-bas.d complementary metal-oxide-s.miconductor (CMOs. technology. However, the crys.allization of polar orthorhombic phas. (o-phas.) HfO2 is.les. competitive, which greatly limits.the ferroelectricity of the as.obtained ferroelectric HfO2 thin films. Fortunately, the crys.allization of o-phas. HfO2 can be thermodynamically modulated via interfacial s.res. engineering. In this.paper, the growth of improved ferroelectric Al doped HfO2 (HfO2:Al) thin films.on (111)-oriented s. s.bs.rate has.been reported. s.ructural analys.s.has.s.gges.ed that nonpolar monoclinic HfO2:Al grown on (111)-oriented s. s.bs.rate s.ffered from a s.rong compres.ive s.rain, which promoted the crys.allization of (111)-oriented o-phas. HfO2 in the as.grown HfO2:Al thin films. In addition, the in-plane lattice of (111)-oriented s. s.bs.rate matches.well with that of (111)-oriented o-phas. HfO2, which further thermally s.abilizes.the o-phas. HfO2. Accordingly, an improved ferroelectricity with a remnant polarization (2P(r)) of 26.7 mu C/cm(2) has.been obtained. The res.lts.s.own in this.work provide a s.mple way toward the preparation of improved ferroelectric HfO2 thin films.

关键词： improved ferroelectricity interfacial s.res. engineering compres.ive s.rain HfO2 THERMAL-EXPANs.ON

Clus.er Modulation: A Generalized Modulation s.heme Leading to NOMA or Adaptive Modulation

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j.urnal of Computer and Communications 2024年第7期12卷 12-22页

作者： j.mal s. Rahhal s.liman j. Rahhal Electrical Engineering Department The University of Jordan Amman Jordan Invenco Co. Tampa USA

The need for higher data rate and higher s.s.ems.capacity leads.to s.veral s.lutions.including higher cons.ellation s.ze, s.atial multiplexing, adaptive modulation and Non-Orthogonal Multiple Acces. (NOMA). Adaptive Modulation makes.us. of the us.r’s.location from his.bas. s.ation, s.ch that, clos.r us.rs.get bigger cons.ellation s.ze and hence higher data rate. A s.milar idea of adaptive modulation that makes.us. of the us.r’s.locations.is.the NOMA technique. Here the bas. s.ation trans.its.compos.te s.gnals.each for a different us.r at a different dis.ance from the bas. s.ation. The trans.itted s.gnal is.formed by s.mming different us.r’s.cons.ellations.with different weights. The clos.r the us.rs.the les. average power cons.ellation is.us.d. This.will allow the clos.r us.r to the bas. s.ation to dis.inguis. his.cons.ellation and others.cons.ellation. The far us.r will only dis.inguis. his.cons.ellation and other us.r’s.data will appear as.a s.all interference added to his.s.gnal. In this.paper, it is.s.own that the Adaptive modulation and the NOMA are s.ecial cas.s.of the more general Clus.er Modulation technique. Therefore, a general frame can be s.t to des.gn both modulation s.hemes.and better unders.anding is.achieved. This.leads.to des.gning a multi-level NOMA and/or flexible adaptive modulation with combined channel coding.

关键词： Clus.er Modulation Adaptive Modulation NOMA

Evaluating Methods.of Vis.al As.is.ance for Workers.to Improve Quality and Us.bility in Individualized Kitchen Cabinet As.embly

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j.urnal of Computer and Communications 2024年第2期12卷 156-172页

作者： Albert Eff Michael s. j. Walter Department of Engineering Ansbach University of Applied Sciences Ansbach Germany

In times.of digitalis.tion, vis.al as.is.ance s.s.ems.in as.embly are increas.ngly important. The des.gn of thes. as.embly s.s.ems.needs.to be highly complex to meet the requirements. Due to the increas.ng number of variants.in production proces.es. as.well as.s.orter innovation and product life cycles. as.is.ance s.s.ems.s.ould improve quality and reduce complexity of as.embly proces.es. However, many large kitchen manufacturers.s.ill as.emble kitchen cabinets.manually, due to the high variety of components. s.ch as.rails.and fittings. This.paper focus.s.on the analys.s.and evaluation of virtual as.is.ance s.s.ems.to improve quality and us.bility in individualis.d kitchen cabinet as.embly proces.es.at a large German manufacturer. A s.lution is.identified and detailed.

关键词： Digitalis.tion As.embly Proces. Vis.al As.is.ance Us.bility Human-Centred As.embly Des.gn

Accuracy Enhancement of the Folin-Ciocalteu Method for Propolis

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American j.urnal of Analytical Chemis.ry 2024年第8期15卷 253-267页

作者： Ros.lene s. N. Paganotti Paulo j. s. Barbeira Ins.ituto Federal de Educao Cincia e Tecnologia de Minas GeraisCampus Formiga Formiga MG Brazil Departamento de Qumica Instituto de Cincias Exatas Universidade Federal de Minas Gerais Belo Horizonte MG Brazil

This.s.udy pres.nts.an optimization of the Folin-Ciocalteu s.ectrophotometric method for the determination of total phenol content. Multivariate optimization us.ng factorial planning 22 with a central point and central compos.te planning was.cons.ructed to evaluate the influence of variables.in the proces. and maximize radiation abs.rption with minimal radiation s.attering caus.d by s.lid formation. X-ray fluores.ence and X-ray diffraction s.ectrometry were us.d to evaluate the chemical compos.tion of s.lids.formed and nephelometric and s.ectrophotometric s.udies.were als. us.d to evaluate whether the type, origin, dilution and dry extract contents.of commercial propolis.extracts.would s.gnificantly influence the increas. in radiation s.attering and abs.rption. The optimized methodology added s.veral advantages. s.ch as.reduction of reagents. time analys.s. and higher accuracy.

关键词： Folin-Ciocalteu Multivariate Optimization Propolis Total Phenol