Manabu Kano
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View article: A Generic Method for Reaction Rate Modeling in Sequential Polymerization Reactions
A Generic Method for Reaction Rate Modeling in Sequential Polymerization Reactions Open
Sequential polymerization reactions are frequently employed to convert CO2 into aviation fuels or chemical raw materials. Their reaction rates are complicated and challenging to determine quickly. This research develops a generic method to…
View article: Quantification of Impact of Uncertainty on Emissions in a Cement Manufacturing Plant: Surrogate Modeling-Based Approach
Quantification of Impact of Uncertainty on Emissions in a Cement Manufacturing Plant: Surrogate Modeling-Based Approach Open
A stable and efficient cement manufacturing process is essential to minimizing raw material and utility consumption while maximizing productivity. However, process uncertainty arising from feed composition and the process conditions such a…
View article: Scale-independent solid fraction prediction in dry granulation process using a gray-box model integrating machine learning model and Johanson model
Scale-independent solid fraction prediction in dry granulation process using a gray-box model integrating machine learning model and Johanson model Open
We propose a novel approach for predicting the solid fraction after roller compaction processes. It is crucial to predict and control the solid fraction, as it has a significant impact on the product quality. The solid fraction can be theo…
View article: VARAT: Variable Annotation Tool for Documents on Manufacturing Processes
VARAT: Variable Annotation Tool for Documents on Manufacturing Processes Open
Building physical models is essential for realizing digital twins in the manufacturing industry. This task, however, is labor-intensive and requires a deep understanding of target processes and extensive knowledge from various literature s…
View article: Image-guided high-dose-rate interstitial brachytherapy with custom-made surface applicators for lower lip cancer as monotherapy. Technique, long-term clinical results, and quantitative dose-volume evaluation: A case series
Image-guided high-dose-rate interstitial brachytherapy with custom-made surface applicators for lower lip cancer as monotherapy. Technique, long-term clinical results, and quantitative dose-volume evaluation: A case series Open
IG HDR-BT with custom-made surface applicators for lower lip cancer as monotherapy showed an excellent CTV dose and acceptable doses to the mandible, with good long-term clinical results.
View article: Artificial intelligence assisted prediction of optimum operating conditions of shell and tube heat exchangers: A grey‐box approach
Artificial intelligence assisted prediction of optimum operating conditions of shell and tube heat exchangers: A grey‐box approach Open
In this study, a Grey‐box (GB) model was developed to predict the optimum mass flow rates of inlet streams of a Shell and Tube Heat Exchanger (STHE) under varying process conditions. Aspen Exchanger Design and Rating (Aspen‐EDR) was initia…
View article: Grey‐box modelling for estimation of optimum cut point temperature of crude distillation column
Grey‐box modelling for estimation of optimum cut point temperature of crude distillation column Open
A grey‐box modelling framework was developed for the estimation of cut point temperature of a crude distillation unit (CDU) under uncertainty in crude composition and process conditions. First principle (FP) model of CDU was developed for …
View article: Validity of High-Dose-Rate Interstitial Brachytherapy as Monotherapy for Mobile Tongue Cancer in Terms of the Acute Mucosal Reaction
Validity of High-Dose-Rate Interstitial Brachytherapy as Monotherapy for Mobile Tongue Cancer in Terms of the Acute Mucosal Reaction Open
The results indicated that the AMR of HDR54 started later and was gentler and more easily tolerated than the other two methods, suggesting the validity of HDR54 in terms of AMR.
View article: Data Augmentation Method Utilizing Template Sentences for Variable Definition Extraction
Data Augmentation Method Utilizing Template Sentences for Variable Definition Extraction Open
The extraction of variable definitions from scientific and technical papers is essential for understanding these documents. However, the characteristics of variable definitions, such as the length and the words that make up the definition,…
View article: Prediction and optimisation of gasoline quality in petroleum refining: The use of machine learning model as a surrogate in optimisation framework
Prediction and optimisation of gasoline quality in petroleum refining: The use of machine learning model as a surrogate in optimisation framework Open
Hardware‐based sensing frameworks such as cooperative fuel research engines are conventionally used to monitor research octane number (RON) in the petroleum refining industry. Machine learning techniques are employed to predict the RON of …
View article: Feed factor profile prediction model for two-component mixed powder in the twin-screw feeder
Feed factor profile prediction model for two-component mixed powder in the twin-screw feeder Open
In continuous pharmaceutical manufacturing processes, it is crucial to control the powder flow rate. The feeding process is characterized by the amount of powder delivered per screw rotation, referred to as the feed factor. This study aims…
View article: Novel predictive approaches for drug-induced convulsions in non-human primates using machine learning and heart rate variability analysis
Novel predictive approaches for drug-induced convulsions in non-human primates using machine learning and heart rate variability analysis Open
Drug-induced convulsions are a major challenge to drug development because of the lack of reliable biomarkers. Using machine learning, our previous research indicated the potential use of an index derived from heart rate variability (HRV) …
View article: Anomaly detection of semiconductor processing equipment using equipment behaviour
Anomaly detection of semiconductor processing equipment using equipment behaviour Open
As semiconductor design rules evolve, the required level of reliability for semiconductor processing equipment is increasing. It is impossible to detect anomalies simply by checking a single factor, the oxygen concentration, which is the m…
View article: Heat illness detection with heart rate variability analysis and anomaly detection algorithm
Heat illness detection with heart rate variability analysis and anomaly detection algorithm Open
Incidence of heat illness has been increasing dramatically due to the progression of global warming. Preventing severe heat illness, called heatstroke, is crucial because it can lead to long-term multiple organ damage, including the brain,…
View article: Driver Drowsiness Detection Using R-R Interval of Electrocardiogram and Self-Attention Autoencoder
Driver Drowsiness Detection Using R-R Interval of Electrocardiogram and Self-Attention Autoencoder Open
Drowsy driving detection is crucial for avoiding serious traffic accidents. Changes in sleep conditions affect the autonomic nervous system (ANS) and, subsequently, heart rate variability (HRV), which is fluctuation in the R-R interval (RR…
View article: VARAT: Variable Annotation Tool for Documents on Manufacturing Processes
VARAT: Variable Annotation Tool for Documents on Manufacturing Processes Open
Physical model building is essential for realizing digital twins in the manufacturing industry and requires much toil. We aim to develop automated physical model builder (AutoPMoB) that can automatically build physical models from literatu…
View article: Extracting Variable Definitions from Documents on Chemical Processes Utilizing Semantic Information on Variables
Extracting Variable Definitions from Documents on Chemical Processes Utilizing Semantic Information on Variables Open
Mathematical formulas are essential tools for conveying mathematical concepts. Definitions of symbols in mathematical formulas often vary among different documents; thus, knowing the definitions is fundamental to grasping the semantics of …
View article: Automation on thermal control of blast furnace
Automation on thermal control of blast furnace Open
Accurate process control through automation is the key to achieving efficient and stable operation of a blast furnace. In this study, we developed an automatic control system of hot metal temperature (HMT). To cope with the slow and comple…
View article: Multivariate Deep Reconstruction Neural Network for Multi-step-ahead Prediction of Industrial Process Quality Variables
Multivariate Deep Reconstruction Neural Network for Multi-step-ahead Prediction of Industrial Process Quality Variables Open
In industrial processes, deep learning has been widely used to solve the soft sensing problem. Multi-step-ahead prediction is one of the most challenging problems in the field of soft sensors. Recently, N-Beats has been proposed as a promi…