http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Data augmentation for plant growth prediction in time-series
Meng Yao,Alvaro Fuentes,Jaehwan Lee,Sook Yoon,Dong Sun Park 제어로봇시스템학회 2021 제어로봇시스템학회 각 지부별 자료집 Vol.2021 No.12
Deep learning technuques have been constantly developed and improved through the recent years. Many domains adopt these techniques for classification, object detection, segmentation, and prediction. Recently, agricultural industries utilize those techniques to improve plant harvesting and bring automation to farmers. One of the important tasks is plant growth prediction. Collecting labeled data from crops and greenhouses is a time-consuming and complicated task due to the large variety of crops, especially, when tasks require a large amount of labeled data for training. Data augmentation for training deep neural networks is a well-established technique. This paper presents a data augmentation method that holds the plant growth structure especially in time series, thus maintaining the plant physical appearance of the dataset as close as possible to plants in real agricultural scenes. The proposed method can be used in tasks that require plant image data in time series for plant growth prediction.
Health and Wellness Monitoring Using Intelligent Sensing Technique
Meng, Yao,Yi, Sang-Hoon,Kim, Hee-Cheol Korea Information Processing Society 2019 Journal of information processing systems Vol.15 No.3
This work develops a monitoring system for the population with health concerns. A belt integrated with an on-body circuit and sensors measures a wearer's selected vital signals. The electrocardiogram sensors monitor heart conditions and an accelerometer assesses the level of physical activity. Sensed signals are transmitted to the circuit module through digital yarns and are forwarded to a mobile device via Bluetooth. An interactive application, installed on the mobile device, is used to process the received signals and provide users with real-time feedback about their status. Persuasive functions are designed and implemented in the interactive application to encourage users' physical activity. Two signal processing algorithms are developed to analyze the data regarding heart and activity. A user study is conducted to evaluate the performance and usability of the developed system.
Parameter identification of ship motion mathematical model based on full-scale trial data
Meng Yao,Zhang Xiufeng,Zhu Jinxin 대한조선학회 2022 International Journal of Naval Architecture and Oc Vol.14 No.1
Using the full-scale trial data of vessel YUKUN, a parameter identification scheme, Support Vector Regression (SVR) combined with modified grey wolf optimizer (MGWO), is proposed for identifying ship motion model. This study establishes response mathematical model and 4 Degrees of Freedom (DOF) nonlinear whole-ship mathematical model of vessel YUKUN. The full-scale trial data of vessel YUKUN are processed and analyzed. In the study of grey box identification modeling, the rough parameters reference values of ship response mathematical model and nonlinear whole-ship mathematical model are obtained by SVR. Based on these rough reference values, the MGWO algorithm and Firefly Algorithm are used to further optimize them to obtain final parameter identification values. The final parameter identification values obtained by the three algorithms and recursive least squares with forgetting factor are substituted into the mathematical model to obtain the prediction results of ship motion state. The final prediction results of ship motion state show that the MGWO algorithm has strong search and optimization ability. In the case that the reference values obtained by SVR are not accurate, MGWO algorithm can be used to find accurate parameters of ship motion mathematical model in a given range. The proposed scheme provides a reference for the parameter identification of ship motion mathematical model.
孟?(Meng Yao),李京哲 중앙대학교 일본연구소 2022 日本 硏究 Vol.- No.56
In this paper, we studied the principle of Left and Right phonetic notations of Mako-Inkyo compared with Go’on · Kan’on. The results are summarized as follows. 1) The first rhyme Hao (豪) appear as -au type in Go’on · Kan’on, and appears as -o · -ou types in Labial; however, both Go’on and Kan’on were written -au type in Mako-Inkyo. 2) The second rhyme Yao (肴) appear as -eu type in Go’on, and appears as -au · -o types in Labial・Dental; however, Go’on was described only as -jau type in Mako-Inkyo. 3) The third rhyme Xiao (宵) appear -eu type in Go’on・Kan’on; however, it was described as -jau type in Mako-Inkyo. 4) The fourth rhyme Xiao (蕭) appear -eu type in Go’on · Kan’on; however, it was described as -jau type in Mako-Inkyo.
Wear Resistance of Different Bionic Structure Manufactured by Laser Cladding on Ti6Al4V
Mengyao Wu,Xiaohong Zhan,Hengchang Bu,Lijun Liu,Yuanzeng Song,Yaping Li 대한금속·재료학회 2021 METALS AND MATERIALS International Vol.27 No.7
In this study, the laser cladding system with an IPG YLS-6000 fber laser was used, and the WC–Ti6Al4V powder reinforcedcomposite coatings on Ti6Al4V titanium alloy with various bionic structures were innovatively fabricated. The microstructures and surface damage behavior of the coatings were characterized by scanning electron microscopy, energy dispersivespectroscopy, and X-ray difraction. Additionally, the wear resistance of diferent bionic structures was evaluated, which hadnot been comprehensively explored in the published literature. The results indicated that the un-melted WC particles in thecoatings act as a hard reinforcement, avoiding serious wear of the coating. In addition, the hard coatings exhibit excellentdeformation resistance and the soft substrate cushion the shear stress. So when the “Ratio”, which refers to the laser cladding area to sample area, is between 0.25 and 0.3, the sample has the highest wear resistance. Furthermore, the “Dot+Line”bionic structure has the best wear resistance compared with other structures. The separated line units and the addition of dotunits can improve the stress concentration state of bionic structure are conducive to release the stress to the substrate underthe cladding layer.
Method for residual useful life prediction based on compound similarity
Mengyao Gu,Jiangqin Ge 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.12
The similarity-based residual life prediction (SbRLP) approach is an important data-driven residual useful life (RUL) prediction technique. However, the accuracy and efficiency of local similarity measurements are not balanced, and the global similarity among samples are not considered in existing studies, thus limiting the application of the SbRLP method in big data environments. Hence, a novel SbRLP approach based on compound similarity is proposed here. First, the global and local similarities among samples are measured using the weighted Hausdorff distance and cosine adjustment similarity. Second, the global and local similarities are combined to measure the compound similarity based on the similarity control coefficient U. The best U is obtained via a parameter-selection method based on failure reference samples and the golden parabola method. Third, according to compound similarity, the RUL is predicted using the SbRLP method. Eventually, the effectiveness and superiority of the proposed SbRLP method are demonstrated with a small-sample case (i.e., gyroscope RUL estimation) and a large-sample case (i.e., engine RUL estimation). Results show that the proposed SbRLP method offers better prediction performance for the large-sample case. Additionally, the RUL can be estimated more accurately by adopting the best U obtained using the proposed parameter-selection method.