http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
An Anomaly Detection Algorithm for Cathode Voltage of Aluminum Electrolytic Cell
Cao, Danyang,Ma, Yanhong,Duan, Lina Korea Information Processing Society 2019 Journal of information processing systems Vol.15 No.6
The cathode voltage of aluminum electrolytic cell is relatively stable under normal conditions and fluctuates greatly when it has an anomaly. In order to detect the abnormal range of cathode voltage, an anomaly detection algorithm based on sliding window was proposed. The algorithm combines the time series segmentation linear representation method and the k-nearest neighbor local anomaly detection algorithm, which is more efficient than the direct detection of the original sequence. The algorithm first segments the cathode voltage time series, then calculates the length, the slope, and the mean of each line segment pattern, and maps them into a set of spatial objects. And then the local anomaly detection algorithm is used to detect abnormal patterns according to the local anomaly factor and the pattern length. The experimental results showed that the algorithm can effectively detect the abnormal range of cathode voltage.
An Anomaly Detection Algorithm for Cathode Voltage of Aluminum Electrolytic Cell
Danyang Cao,Yanhong Ma,Lina Duan 한국정보처리학회 2019 Journal of information processing systems Vol.15 No.6
The cathode voltage of aluminum electrolytic cell is relatively stable under normal conditions and fluctuatesgreatly when it has an anomaly. In order to detect the abnormal range of cathode voltage, an anomaly detectionalgorithm based on sliding window was proposed. The algorithm combines the time series segmentation linearrepresentation method and the k-nearest neighbor local anomaly detection algorithm, which is more efficientthan the direct detection of the original sequence. The algorithm first segments the cathode voltage time series,then calculates the length, the slope, and the mean of each line segment pattern, and maps them into a set ofspatial objects. And then the local anomaly detection algorithm is used to detect abnormal patterns accordingto the local anomaly factor and the pattern length. The experimental results showed that the algorithm caneffectively detect the abnormal range of cathode voltage.
Observer-based Adaptive Robust Control of Soft Pneumatic Network Actuators
Guizhou Cao,Yanhong Liu,Zhiwei Zhu 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.5
Fabricated by elastomer materials, soft pneumatic network actuators (PNAs) not only enable versatile applications but also bring challenges to the high-performance control. This study presents new observer-based adaptive robust controllers for PNAs subjected to system uncertainties and unavailable states. First, a sliding patchbased observer and an observer-based controller are addressed for PNAs with known upper bounds, and stability of closed-looped systems is proved by the Lyapunov method. Second, a novel disturbance observer is proposed for the case of prior unknown bounds of uncertainties, and the stability of the closed-looped system controlled by an adaptive robust controller is also analyzed by the Lyapunov method. Finally, the effectiveness of the proposed controllers is verified by simulations and experiments.
DsLCYB Directionally Modulated β-Carotene of the Green Alga Dunaliella salina under Red Light Stress
Lan Yanhong,Song Yao,Guo Yihan,Qiao Dairong,Cao Yi,Xu Hui 한국미생물·생명공학회 2022 Journal of microbiology and biotechnology Vol.32 No.12
Carotenoids, which are natural pigments found abundantly in wide-ranging species, have diverse functions and high industrial potential. The carotenoid biosynthesis pathway is very complex and has multiple branches, while the accumulation of certain metabolites often affects other metabolites in this pathway. The DsLCYB gene that encodes lycopene cyclase was selected in this study to evaluate β-carotene production and the accumulation of β-carotene in the alga Dunaliella salina. Compared with the wild type, the transgenic algal species overexpressed the DsLCYB gene, resulting in a significant enhancement of the total carotenoid content, with the total amount reaching 8.46 mg/g for an increase of up to 1.26-fold. Interestingly, the production of α-carotene in the transformant was not significantly reduced. This result indicated that the regulation of DsLCYB on the metabolic flux distribution of carotenoid biosynthesis is directional. Moreover, the effects of different light-quality conditions on β-carotene production in D. salina strains were investigated. The results showed that the carotenoid components of β-carotene and β-cryptoxanthin were 1.8- fold and 1.23-fold higher than that in the wild type under red light stress, respectively. This suggests that the accumulation of β-carotene under red light conditions is potentially more profitable.
Wei Dong,Cheng Tian,Z. Galvin Li,David Brand,Yanhong Cao,Xiaoyun Liu,Jiamin Ma,Andy Chai,LindaK.myers,Jian Yan,Karen Hasty,John Stuart,Yan Jiao,Weikuan Gu,Xiaojun Cai 한국실험동물학회 2023 Laboratory Animal Research Vol.39 No.4
Sex difference has shown in the arthritis diseases in human population and animal models. We investigate how the sex and symmetry vary among mouse models with different genomic backgrounds. Disease data of sex and limbs accumulated in the past more than two decades from four unique populations of murine arthritis models were analyzed. They are (1) interleukin-1 receptor antagonist (IL-1ra) deficient mice under Balb/c background (Balb/c KO); (2) Mice with collagen II induced arthritis under DBA/1 background; (3) Mice with collagen II induced arthritis under C57BL/6 (B6) background and (4) A F2 generation population created by Balb/c KO X DBA/1 KO. Our data shows that there is a great variation in sexual dimorphism for arthritis incidence and severity of arthritis in mice harboring specific genetic modifications. For a F2 population, the incidence of arthritis was 57.1% in female mice and 75.6% in male mice. There was a difference in severity related to sex in two populations: B6.DR1/ B6.DR4 (P < 0.001) and F2 (P = 0.023) There was no difference Balb/c parental strain or in collagen-induced arthritis (CIA) in DBA/1 mice. Among these populations, the right hindlimbs are significantly higher than the scores for the left hindlimbs in males (P < 0.05). However, when examining disease expression using the collagen induced arthritis model with DBA/1 mice, sex-dimorphism did not reach statistical significance, while left hindlimbs showed a tendency toward greater disease expression over the right. Sexual dimorphism in disease expression in mouse models is strain and genomic background dependent. It sets an alarm that potential variation in sexual dimorphism among different racial and ethnic groups in human populations may exist. It is important to not only include both sexes and but also pay attention to possible variations caused by disease expression and response to treatment in all the studies of arthritis in animal models and human populations.