Study on the Dynamic State of Free, Hydrogen-Bonded Water with Wood by Near-Infrared Hyperspectral Imaging

( Te Ma ),( Tetsuya Inagaki ),( Satoru Tsuchikawa ) 한국목재공학회 2021 한국목재공학회 학술발표논문집 Vol.2021 No.1

This work was aimed to provide a rapid and nondestructive imaging method for visualizing the dynamic state of free, hydrogen-bonded water with lignocellulosic material. Near-infrared (NIR) spectral images in the wavelength range 1002-1847 nm was firstly used to visualize the distributions of moisture content (MC) over the surface of Japanese cedar by partial least square regression. Then, principal component analysis and curve fitting methods were utilized to explore the changes in water-wood structure characteristics based on peak shifts to longer wavelength in spectral signals caused by increasing MC. The experimental results were clear showing that the earlywood regions have higher MCs in the initial stage of drying, but their free water evaporates more rapidly than that in other regions. Furthermore, the edge of the samples dried most rapidly into strongly bonded water. It is concluded that NIR hyperspectral imaging has the potential to be a complementary methodology for studying the transient changes of wood-water interactions.

Deep Learning Approach for Visible and NIR Imaging for Wood Classification

( Tetsuya Inagaki ),( Te Ma ),( Satoru Tsuchikawa ) 한국목재공학회 2021 한국목재공학회 학술발표논문집 Vol.2021 No.1

From the viewpoint of combating illegal logging and examining wood properties, there is a contemporary demand for a wood species identification system. Several nondestructive automatic identification systems have been developed, but there is room for improvement to construct a highly reliable model. We tried to identify the Japanese hardwood species from the microscopic image from database of Forestry and Forest Products Research Institute, Japan, with aid of deep learning. We also propose cognitive spectroscopy that combines near infrared hyperspectral imaging (NIR-HSI) with a deep convolutional neural network approach. We defined “cognitive spectroscopy” as a protocol that extracts features from complex spectroscopic data and presents the best results without human intervention. Overall, 120 samples representing 38 hardwood species were scanned using an NIR-HSI camera. A deep learning prediction model was built based on the principal component (PC) images obtained from the PC scores of hyperspectral images. The results showed that the accuracy of wood species identification based on 6PC (PC1-PC6) images was 90.5%, which was considerably higher than the accuracy of 56.0% obtained with conventional visible images.

Transcriptome sequencing combined with bioinformatics predicts potential genes and pathways associated with bupivacaine-induced apoptosis

Pihong Wei,Zaiqi Yang,Te Wang,Shulin Han,Guifen Ma,Shenqiang Gao 한국통합생물학회 2017 Animal cells and systems Vol.21 No.2

This study aimed to explore the potential genes and pathways associated with bupivacaine-induced apoptosis. Human neuroblastoma cell line SH-SY5Y was used in this study. The effect of bupivacaine on cell viability of SH-SY5Y was detected by Cell Counting Kit-8. Transcriptome sequencing was performed for SH-SY5Y cells that were treated and untreated with bupivacaine based on the HiSeq 4000 sequencing platform. The sequencing results were analyzed using bioinformatics methods, including differentially expressed genes (DEGs) identification, functional enrichment analysis, protein–protein interaction (PPI) network analysis and module analysis. The cell viability of SH-SY5Y cells decreased significantly after bupivacaine treatment (p < .01). Based on the HiSeq 4000 sequencing platform, we obtained a global overview of the transcriptome of SH-SY5Y treated with/ without bupivacaine. Bioinformatics analysis identified 335 up-regulated and 294 down-regulated DEGs in bupivacaine group. They were significantly enriched in cell cycle-associated functions and pathways and cAMP signaling pathway. In the PPI network, proliferating cell nuclear antigen (PCNA), v-Akt murine thymoma viral oncogene homolog 3 (AKT3), cyclin-dependent kinase inhibitor 1A (CDKN1A) and cell division cycle 6 (CDC6) had high topology scores. Module analysis obtained two sub-network modules (cluster 1 and cluster 2). PCNA, CDC6, CDKN1A and AKT3 may play important roles in bupivacaine-induced apoptosis. Additionally, bupivacaine may also induce apoptosis via pathways of cell cycle and cAMP signaling pathway.

배수시스템에서의 잔류염소농도 저감화대책의 검토

에나츠테루유키,와타베마사히토,ENa, -Te,WaTa, -Ma 한국상하수도협회 2005 한국상하수도협회지 Vol.12 No.-

Fast 3D reconstruction method based on UAV photography

Jiang-An Wang,Huang‐Te Ma,Chun-Mei Wang,Yong-Jie He 한국전자통신연구원 2018 ETRI Journal Vol.40 No.6

3D reconstruction of urban architecture, land, and roads is an important part of building a “digital city.” Unmanned aerial vehicles (UAVs) are gradually replacing other platforms, such as satellites and aircraft, in geographical image collection; the reason for this is not only lower cost and higher efficiency, but also higher data accuracy and a larger amount of obtained information. Recent 3D reconstruction algorithms have a high degree of automation, but their computation time is long and the reconstruction models may have many voids. This paper decomposes the object into multiple regional parallel reconstructions using the clustering principle, to reduce the computation time and improve the model quality. It is proposed to detect the planar area under low resolution, and then reduce the number of point clouds in the complex area.

Optimistic Fault Diagnosis in Discrete Event Systems by Labeled Petri Nets and Basis Markings

Guanghui Zhu,Jiafeng Zhang,Zhong Zheng,Shan Luan,Te Chen,Qiang Ma,Zhiwu Li 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.6

This paper deals with the fault diagnosis problem of discrete event systems modeled with labeled Petri nets. Its main contributions are threefold. First, depending on whether a diagnosis function examines the fault transitions that possibly occur after the last observed event, we formally divide the diagnosis functions into two types: optimistic and pessimistic, which aims to facilitate the exploration of different diagnosis approaches. Second, a framework is proposed, which extends a given diagnosis approach for Petri nets to the case of labeled Petri nets. The main idea of the framework is to compute and combine the diagnosis results of observable transition sequences corresponding to an observed word. Third, we convert a basis-marking-based approach that is originally pessimistic to the optimistic case and prove the correctness of this conversion.

Simulation Analysis of Tire Inflation Pressure Loss under Synergy of Temperature and Oxidation

Liang Chen,Sun Dong Hui,Li Chang Da,Ji Liu,Ma Te,Gao Zhi 한국자동차공학회 2023 International journal of automotive technology Vol.24 No.3

The functions of the tire can be fully performed only under the appropriate inflation pressure. Tire inflation pressure loss rate (IPLR) is an important indicator used to evaluate tire inflation pressure retention performance. When the tire is under a rolling state, the temperature will increase leading to an accelerated oxidation process. Standard tire IPLR test is costly and time-consuming. In order to simulate the tire IPLR under the steady rolling state, the permeability parameters of rubbers and rubber-cord components (belts & carcass) are tested. Moreover, the oxidation reaction is coupling with the IPLR model based on the basic autoxidation scheme (BAS). The simulation results show that the IPLR of the tire under rolling state increases obviously. A novel calculation method of rubber oxygen consumption is proposed and applied to the oxygen consumption of different parts of the tire. Two approaches are adopted to reduce tire IPLR based on the innerliner structure design. This simulation method can predict tire IPLR not only under steady rolling state but also under static state and even under tire aging condition in oven. It also provides an important model basis for tire aging and life prediction research in the future.