Aquaculture has long been a critical economic sector in Taiwan.Since a key factor in aquaculture production efficiency is water quality,an effective means of monitoring the dissolved oxygen content(DOC)of aquaculture ...Aquaculture has long been a critical economic sector in Taiwan.Since a key factor in aquaculture production efficiency is water quality,an effective means of monitoring the dissolved oxygen content(DOC)of aquaculture water is essential.This study developed an internet of things system for monitoring DOC by collecting essential data related to water quality.Artificial intelligence technology was used to construct a water quality prediction model for use in a complete system for managing water quality.Since 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 required.Therefore,this study used recurrent neural networks(RNNs)with sequential characteristics.Commonly 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 results.To 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 architectures.The experimental results revealed that the 7-layer GRU was more suitable for the application considered in this study.The 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 0.9984.Therefore,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 issues.This study was performed in collaboration with the Taiwan Industrial Technology Research Institute and a local fishery company.Practical application of the system by the fishery company confirmed that the monitoring system is effective in improving the survival rate of farmed fish by providing data needed to maintain DOC higher than the standard value.展开更多
Taking the Qi and Yin deficiency syndrome as an example,the research method of pharmacology of syndrome management system was proposed.By means of text mining,systematic pharmacology and target analysis,to attempt to ...Taking the Qi and Yin deficiency syndrome as an example,the research method of pharmacology of syndrome management system was proposed.By 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 deficiency.Fourteen Chinese herbs treating Qi and Yin deficiency were retrieved and used more than 30 times,and 9,317 related targets were predicted.The common targets of action were 85.Topological 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 syndrome.Through 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.展开更多
基金Publication costs are funded by the Ministry of Science and Technology,Taiwan,under Grant Numbers MOST 110-2221-E-153-010.
文摘Aquaculture has long been a critical economic sector in Taiwan.Since a key factor in aquaculture production efficiency is water quality,an effective means of monitoring the dissolved oxygen content(DOC)of aquaculture water is essential.This study developed an internet of things system for monitoring DOC by collecting essential data related to water quality.Artificial intelligence technology was used to construct a water quality prediction model for use in a complete system for managing water quality.Since 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 required.Therefore,this study used recurrent neural networks(RNNs)with sequential characteristics.Commonly 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 results.To 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 architectures.The experimental results revealed that the 7-layer GRU was more suitable for the application considered in this study.The 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 0.9984.Therefore,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 issues.This study was performed in collaboration with the Taiwan Industrial Technology Research Institute and a local fishery company.Practical application of the system by the fishery company confirmed that the monitoring system is effective in improving the survival rate of farmed fish by providing data needed to maintain DOC higher than the standard value.
文摘Taking the Qi and Yin deficiency syndrome as an example,the research method of pharmacology of syndrome management system was proposed.By 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 deficiency.Fourteen Chinese herbs treating Qi and Yin deficiency were retrieved and used more than 30 times,and 9,317 related targets were predicted.The common targets of action were 85.Topological 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 syndrome.Through 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.
