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Artificial Intelligence in Internet of Things System for Predicting Water Quality in Aquaculture Fishponds

Computer Systems Science & Engineering 2023年第9期46卷 2861-2880页

作者： Po-yuan Yang yu-cheng liao Fu-I Chou Department of Intelligent Robotics National Pingtung UniversityPingtung900TaiwanChina Department of Electrical Engineering National Kaohsiung University of Science and TechnologyKaohsiung807TaiwanChina

Aquaculture has long been a critical economic sector in *** a key factor in aquaculture production efficiency is water quality,an effective means of monitoring the dissolved oxygen content(DOC)of aquaculture water is *** study developed an internet of things system for monitoring DOC by collecting essential data related to water *** intelligence technology was used to construct a water quality prediction model for use in a complete system for managing water *** aquaculture water quality depends on a continuous interaction among multiple factors,and the current state is correlated with the previous state,a model with time series is ***,this study used recurrent neural networks(RNNs)with sequential *** used RNNs such as long short-term memory model and gated recurrent unit(GRU)model have a memory function that appropriately retains previous results for use in processing current *** construct a suitable RNN model,this study used Taguchi method to optimize hyperparameters(including hidden layer neuron count,iteration count,batch size,learning rate,and dropout ratio).Additionally,optimization performance was also compared between 5-layer and 7-layer network *** experimental results revealed that the 7-layer GRU was more suitable for the application considered in this *** values obtained in tests of prediction performance were mean absolute percentage error of 3.7134%,root mean square error of 0.0638,and R-value of ***,thewater qualitymanagement system developed in this study can quickly provide practitioners with highly accurate data,which is essential for a timely response to water quality *** study was performed in collaboration with the Taiwan Industrial Technology Research Institute and a local fishery *** application of the system by the fishery company confirmed that the monitoring system is effective in improving the surviv

关键词： Fishery gated recurrent unit hyperparameter optimization long short-term memory Taguchi method water quality prediction

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High-temperature-tolerant flexible supercapacitors: Gel polymer electrolytes and electrode materials

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Journal of Energy Chemistry 2025年第1期100卷 426-457页

作者： Chong Peng Xinyi Huang Mingwei Zhao Shuling liao Quanhong Yang Nianjun Yang Siyu yu School of Chemistry & Chemical Engineering Southwest University Nanoyang Group Tianjin Key Laboratory of Advanced Carbon and Electrochemical Energy Storage School of Chemical Engineering and Technology and Collaborative Innovation Center of Chemical Science and Engineering (Tianjin) Tianjin University Department of Chemistry & IMO-IMOMEC Hasselt University

The development of flexible supercapacitors(FSCs) capable of operating at high temperatures is crucial for expanding the application areas and operating conditions of supercapacitors. Gel polymer electrolytes and electrode materials stand as two key components that significantly impact the efficacy of hightemperature-tolerant FSCs(HT-FSCs). They should not only exhibit high electrochemical performance and excellent flexibility, but also withstand intense thermal stress. Considerable efforts have been devoted to enhancing their thermal stability while maintaining high electrochemical and mechanical performance. In this review, the fundamentals of HT-FSCs are outlined. A comprehensive overview of state-of-the-art progress and achievements in HT-FSCs, with a focus on thermally stable gel polymer electrolytes and electrode materials is provided. Finally, challenges and future perspectives regarding HT-FSCs are discussed, alongside strategies for elevating operational temperatures and *** review offers both theoretical foundations and practical guidelines for designing and manufacturing HT-FSCs, further promoting their widespread adoption across diverse fields.

关键词： Polymer membrane electrodes

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Study on syndrome differentiation based on pharmacology of syndrome management system-a case of Qi and Yin deficiency syndrome

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History & Philosophy of Medicine 2020年第4期2卷 119-128页

作者： Wen-Jun Wang Shao-Jie Huang Juan-Li Zhang Yang Ma Fei Mu yu-cheng liao Jing-Wen Wang Ai-Dong Wen Yi Ding Department of Pharmacy Xijing HospitalFourth Military Medical UniversityXi’an 710032China Department of Pharmacy Shaanxi University of Chinese MedicineXi’an 712046China

Taking the Qi and Yin deficiency syndrome as an example,the research method of pharmacology of syndrome management system was *** means of text mining,systematic pharmacology and target analysis,to attempt to reveal the essence of the corresponding syndrome by studying the drugs and targets of Qi and Yin *** Chinese herbs treating Qi and Yin deficiency were retrieved and used more than 30 times,and 9,317 related targets were *** common targets of action were *** analysis was carried out by using degree centrality,closeness centrality and betweenness centrality to confirm that estrogen receptor(ESR1),tumor necrosis factor(TNF),D(2)dopamine receptor(DRD2),vitamin D3 receptor(VDR),glucocorticoid receptor(NR3C1),acetylcholinesterase(ACHE)and endothelin-1(EDN1)were highly correlated with Qi and Yin deficiency *** the target to find Qi and Yin deficiency syndrome corresponding to 17 categories of diseases.A new idea was provided for studying the biological essence of TCM clinical syndrome differentiation.

关键词： Pharmacology of syndrome management system Data mining Qi and Yin deficiency syndrome Drug law

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Human-induced pluripotent stem cell-derived neural stem cell exosomes improve blood-brain barrier function after intracerebral hemorrhage by activating astrocytes via PI3K/AKT/MCP-1 axis

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Neural Regeneration Research 2025年第2期20卷 518-532页

作者： Conglin Wang Fangyuan cheng Zhaoli Han Bo Yan Pan liao Zhenyu Yin Xintong Ge Dai Li Rongrong Zhong Qiang Liu Fanglian Chen Ping Lei Department of Geriatrics Tianjin Medical University General HospitalTianjinChina School of Medicine Nankai UniversityTianjinChina Tianjin Neurological Institute TianjinChina

Cerebral edema caused by blood-brain barrier injury after intracerebral hemorrhage is an important factor leading to poor ***-induced pluripotent stem cell-derived neural stem cell exosomes(hiPSC-NSC-Exos)have shown potential for brain injury repair in central nervous system *** this study,we explored the impact of hiPSC-NSC-Exos on blood-brain barrier preservation and the underlying *** results indicated that intranasal delivery of hiPSC-NSC-Exos mitigated neurological deficits,enhanced blood-brain barrier integrity,and reduced leukocyte infiltration in a mouse model of intracerebral ***,hiPSC-NSC-Exos decreased immune cell infiltration,activated astrocytes,and decreased the secretion of inflammatory cytokines like monocyte chemoattractant protein-1,macrophage inflammatory protein-1α,and tumor necrosis factor-αpost-intracerebral hemorrhage,thereby improving the inflammatory *** sequencing indicated that hiPSC-NSC-Exo activated the PI3K/AKT signaling pathway in astrocytes and decreased monocyte chemoattractant protein-1 secretion,thereby improving blood-brain barrier *** with the PI3K/AKT inhibitor LY294002 or the monocyte chemoattractant protein-1 neutralizing agent C1142 abolished these *** summary,our findings suggest that hiPSC-NSC-Exos maintains blood-brain barrier integrity,in part by downregulating monocyte chemoattractant protein-1 secretion through activation of the PI3K/AKT signaling pathway in astrocytes.

关键词： AKT astrocyte blood-brain barrier cerebral edema exosomes human-induced pluripotent stem cells intracerebral hemorrhage neural stem cells neuroinflammation PI3K

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Fatigue Strength Analysis of Dissimilar Aluminum Alloy TIG Welds

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Journal of Wuhan University of Technology(Materials Science) 2025年第1期40卷 265-274页

作者： liao Xiangyun WANG Ruijie LIU Guoshou ZHAO Pinglin Faculty of Mechanical and Electrical Engineering Kunming University of Science and TechnologyKunming 650500China Faculty of Civil Engineering and Mechanics Kunming University of Science and TechnologyKunming 650500China

The constant amplitude loading fatigue tests were carried out on the 6061/7075 aluminum alloy TIG fillet welded lap specimens in this study,and the weld seam cross-section hardness was *** experimental results show that most specimens mainly failed at the 7075 side weld toes even though the base material tensile strength of 7075 is higher than that of *** maximum stress-strain concentration in the two finite element models is located at the 7075 side weld toe,which is basically consistent with the actual fracture *** weld zone on the 7075 side experiences severe material softening,with a large ***,the Vickers hardness value on the 6061 side negligibly changes and fluctuates around 70 *** obvious defects are found on the fatigue fracture,but a large number of secondary cracks *** germinate from the weld toe and propagate in the direction of the plate *** reinforcement has a serious impact on fatigue *** life will decrease exponentially as the weld reinforcement increases under low *** is found that the notch stress method can give a better fatigue life prediction for TIG weldments,and the errors of the predicted results are within the range of two factors,while the prediction accuracy decreases under low *** equivalent structural stress method can also be used for fatigue life prediction of TIG weldments,but the errors of prediction results are within the range of three factors,and the accuracy decreases under high stress.

关键词： TIG welding notch stress method equivalent structural stress method fatigue life finite element analysis

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Enhancing Deepfake Detection:Proactive Forensics Techniques Using Digital Watermarking

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Computers, Materials & Continua 2025年第1期82卷 73-102页

作者： Zhimao Lai Saad Arif Cong Feng Guangjun liao Chuntao Wang School of Automation Guangdong University and TechnologyGuangzhou510006China School of Immigration Administration(Guangzhou) China People’s Police UniversityGuangzhou510663China Department of Mechanical Engineering College of EngineeringKing Faisal UniversityAl Ahsa31982Saudi Arabia Cyber Police Division Guangzhou Public Security BureauGuangzhou510030China School of Forensic Science and Technology Guangdong Police CollegeGuangzhou510320China College of Mathematics and Informatics South China Agricultural UniversityGuangzhou510642China

With the rapid advancement of visual generative models such as Generative Adversarial Networks(GANs)and stable Diffusion,the creation of highly realistic Deepfake through automated forgery has significantly *** paper examines the advancements inDeepfake detection and defense technologies,emphasizing the shift from passive detection methods to proactive digital watermarking *** detection methods,which involve extracting features from images or videos to identify forgeries,encounter challenges such as poor performance against unknown manipulation techniques and susceptibility to counter-forensic *** contrast,proactive digital watermarking techniques embed specificmarkers into images or videos,facilitating real-time detection and traceability,thereby providing a preemptive defense againstDeepfake *** offer a comprehensive analysis of digitalwatermarking-based forensic techniques,discussing their advantages over passivemethods and highlighting four key benefits:real-time detection,embedded defense,resistance to tampering,and provision of legal ***,the paper identifies gaps in the literature concerning proactive forensic techniques and suggests future research directions,including cross-domain watermarking and adaptive watermarking *** systematically classifying and comparing existing techniques,this review aims to contribute valuable insights for the development of more effective proactive defense strategies in Deepfake forensics.

关键词： Deepfake proactive forensics digital watermarking traceability detection techniques

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Collider search of light dark matter model with dark sector decay

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Chinese Physics C 2022年第6期46卷 36-45页

作者： yu cheng Wei liao Qi-ShuYan School of Physics East China University of Science and TechnologyShanghai 200237China Tsung-Dao Lee Institute and School of Physics and AstronomyShanghai Jiao-Tong UniversityShanghai 200240China School of Physical Sciences University of Chinese Academy of SciencesBeijing 100049China Center for Future High Energy Physics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China

We explore the possibility that the dark matter relic density is not produced by a thermal mechanism directly,but by the decay of other heavier dark-sector particles which themselves can be produced by the thermal freeze-out *** a concrete model with light dark matter from dark sector decay,we study the collider signature of the dark sector particles associated with Higgs production *** find that future lepton colliders could be a better place to probe the signature of this kind of light dark matter model than hadron colliders such as ***,we find that a Higgs factory with center-of-mass energy 250 GeV has a better potential to resolve the signature of this kind of light dark matter model than a Higgs factory with center-of-mass energy 350 GeV.

关键词： collider light dark matter dark sector signatures

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A VIBRATION RECOGNITION METHOD BASED ON DEEP LEARNING AND SIGNAL PROCESSING

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工程力学 2021年第4期38卷 230-246页

作者： cheng Zhi-gang liao Wen-jie CHEN Xing-yu LU Xin-zheng Civil Engineering Department Tsinghua UniversityBeijing 100084China Beijing Engineering Research Center of Steel and Concrete Composite Structures Tsinghua UniversityBeijing 100084China Key Laboratory of Civil Engineering Safety and Durability of China Education Ministry Tsinghua UniversityBeijing 100084China

Effective vibration recognition can improve the performance of vibration control and structural damage detection and is in high demand for signal processing and advanced ***-processing methods can extract the potent time-frequency-domain characteristics of signals;however,the performance of conventional characteristics-based classification needs to be *** used deep learning algorithms(e.g.,convolutional neural networks(CNNs))can conduct classification by extracting high-dimensional data features,with outstanding ***,combining the advantages of signal processing and deep-learning algorithms can significantly enhance vibration recognition performance.A novel vibration recognition method based on signal processing and deep neural networks is proposed ***,environmental vibration signals are collected;then,signal processing is conducted to obtain the coefficient matrices of the time-frequency-domain characteristics using three typical algorithms:the wavelet transform,Hilbert-Huang transform,and Mel frequency cepstral coefficient extraction ***,CNNs,long short-term memory(LSTM)networks,and combined deep CNN-LSTM networks are trained for vibration recognition,according to the time-frequencydomain ***,the performance of the trained deep neural networks is evaluated and *** results confirm the effectiveness of the proposed vibration recognition method combining signal preprocessing and deep learning.

关键词： vibration recognition signal processing time-frequency-domain characteristics convolutional neural network(CNN) long short-term memory(LSTM)network

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Effect of Surface Topography on Stress Concentration Factor

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Chinese Journal of Mechanical Engineering 2015年第6期28卷 1141-1148页

作者： cheng Zhengkun liao Ridong School of Mechanical Engineering Beijing Institute of Technology

Neuber rule and Arola-Ramulu model are widely used to predict the stress concentration factor of rough specimens. However, the height parameters and effective valley radius used in these two models depend strongly on the resolution of the roughness-measuring instruments and are easily introduce measuring errors. Besides, it is difficult to find a suitable parameter to characterize surface topography to quantitatively describe its effect on stress concentration factor. In order to overcome these disadvantages, profile moments are carried out to characterize surface topography, surface topography is simulated by superposing series of cosine components, the stress concentration factors of different micro cosine-shaped surface topographies are investigated by finite element analysis. In terms of micro cosine-shaped surface topography, an equation using the second profile moment to estimate the stress concentration factor is proposed, predictions for the stress concentration factor using the proposed expression are within 10% error compared with the results of finite element analysis, which are more accurate than other models. Moreover, the proposed equation is applied to the real surface topography machined by turning. Predictions for the stress concentration factor using the proposed expression are within 10% of the maximum stress concentration factors and about 5% of the effective stress concentration factors estimated from the finite element analysis for three levels of turning surface topographies under different simulated scales. The proposed model is feasible in predicting the stress concentration factors of real machined surface topographies.

关键词： surface topography profile moments stress concentration factor finite element method

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CALCULATION MODEL OF SURFACE TENSION FOR ALLOY MELTS

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中国有色金属学会会刊：英文版 1998年第3期8卷 155-160页

作者： cheng, Guoguang liao, Nengbin Univ of Science and Technology Beijing Beijing China

１ＩＮＴＲＯＤＵＣＴＩＯＮＩｔｉｓｏｆｇｒｅａｔｉｍｐｏｒｔａｎｃｅｆｏｒｔｈｅｅｓｔｉｍａｔｉｏｎｏｆｓｕｒｆａｃｅｔｅｎｓｉｏｎｆｏｒａｌｏｙｍｅｌｔ．Ｍａｎｙｍｅｔａｌｕｒｇｙｐｈｅｎｏｍｅｎａ，ｓｕｃｈａｓ... 详细信息

１ＩＮＴＲＯＤＵＣＴＩＯＮＩｔｉｓｏｆｇｒｅａｔｉｍｐｏｒｔａｎｃｅｆｏｒｔｈｅｅｓｔｉｍａｔｉｏｎｏｆｓｕｒｆａｃｅｔｅｎｓｉｏｎｆｏｒａｌｏｙｍｅｌｔ．Ｍａｎｙｍｅｔａｌｕｒｇｙｐｈｅｎｏｍｅｎａ，ｓｕｃｈａｓＣＯｂｕｂｂｌｅｓｇｅｎｅｒａｔｉ...

关键词： alloy melt surface tension activity mass action concentration

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