{"title":"Learning Behavior Big Data Tells Us Which Students Can Get a MOOC Course Certificate in Chinese University MOOC","authors":"Yong Luo, Zhihao Xiao, Jianping Li, Zheng Xie, Xiao Xiao","doi":"10.2991/MASTA-19.2019.26","DOIUrl":"https://doi.org/10.2991/MASTA-19.2019.26","url":null,"abstract":"MOOC (Massive open online courses) is developing rapidly, but the pass rate of the course is very low. It is significant to study the characteristics of learners who have obtained certificates. This article analyzes the video and completion behavior of various learners. The results show that the learner who obtained the certificate did not watch enough videos, but often completed a lot of exercises. It means they have acquired knowledge from other sources. MOOC is only a means of consolidating knowledge. The results of this study can help us find the right application model for MOOC. At the same time, MOOC operators are also reminded to improve the MOOC model for more learners to accept.","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125491028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Z. Chen, G. D. Xu, X. L. He, M. Wang, C. He, J. Zou, S. Xin
{"title":"Luminescence Property of Eu3+-doped CaZrSi2O7 Phosphors for White LEDs","authors":"Z. Chen, G. D. Xu, X. L. He, M. Wang, C. He, J. Zou, S. Xin","doi":"10.2991/MASTA-19.2019.73","DOIUrl":"https://doi.org/10.2991/MASTA-19.2019.73","url":null,"abstract":"Eu3+-doped CaZrSi2O7 phosphors with promising luminescent properties have been successfully prepared through microwave heating. The crystallinity and luminescent performance were characterized by powder X-ray diffraction pattern, photoluminescence spectra, respectively. The results show that the obtained Eu3+-doped CaZrSi2O7 phosphors have good crystallinity, and strong emission under near-ultraviolet ( NUV) light excitation, which emits red colors peaking at 615 nm, corresponding to the 5D0→7F2 electric-dipole transition of Eu3+ which shows the rare earth Eu3+ ions are located in noncentrosymmetric sites. The red emission of Eu3+-doped CaZrSi2O7 phosphors is excellently consistent with CIE chromaticity standards. It is suggested that the as-prepared Eu3+-doped CaZrSi2O7 samples have high potential for phosphor-converted white LEDs application. Introduction In recent years ,white light emitting diodes (W-LEDs) which are regarded as a new solid state light soures have been widely used in many fields such as displays and lighting because of its many merits of high compact size, low energy consumption, higher luminous efficiency, environmental friendliness and longer lifetime[1,2]. Although the efficiency of commercially white LEDs which were usually prepared through combining blue LED chip with yellow Y3Al5O12:Ce3+ phosphors is high, the color rending index is relatively low due to a lack of sufficient red component[3]. To overcome these problems, phosphor-converted white LEDs have been paid special attention to as it provides high CRI. The availabile commercially phosphors for near UV excited LEDs are mostly red Y2O2S:Eu3+, green ZnS:Cu+,Al3+ and blue BaMgAl10O7:Eu2+. However, Y2O2S:Eu3+ and ZnS:Cu+,Al3+ phosphors were instability (releasing of sulfide gas) under UV irradiation and result in low quantum efficiency. In the case, recently a lot of researchers have made extensive efforts to search for new phosphor for white LEDs aplication and through effectively combining red, green and blue emitting phosphors togather to enhance color rending index [4-6]. Nowadays,silicates have attracted much attention to be applied to luminescent materials due to its advantages of outstanding chemical stability and optical performance[7,8]. Moreover, rare earth ion doped silicates phosphors have been widely investigated due to its excellent application in white light emitting diodes [9-11]. Furthmore, a lot of advantages have been found through microwave-induced method to prepared solid oxide materials compared to the conventional synthesis mehtod in terms of its heating mode [12-13 ], which microwave can heat the material at the molecular level, so that the heating is uniform. In addition, in the preparing process by microwave-induced method, the reaction time is not long and it is not needed to apply expensive instrument, which makes the technology attractive. In the work, by using improving microwave heating prepare process, a pure phase Eu3+-doped CaZrSi2O7 (","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125069760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Study on the Measuring Harmonics Based on Capacitor Voltage Transformer","authors":"Zhengyou Ma, Huidong Guo, Qian-sen Yu","doi":"10.2991/MASTA-19.2019.10","DOIUrl":"https://doi.org/10.2991/MASTA-19.2019.10","url":null,"abstract":"In high voltage grade power networks, people usually use capacitive voltage transformers (CVT) to measure the harmonic voltage, but the results exist errors. This paper studied the basic structure of CVT, established the equivalent circuit model of CVT, and proposed a method to calculate the harmonic voltage of the grid side by sampling the grounding current signal of CVT. On the basis of that, the paper confirmed the correctness and feasibility of the method through model simulation. Introduction As the traditional impact load continues to develop, for example, power electronics technology has been widely and 110kV, 220kV grid-connected electric furnace steelmaking. The problems of power quality it caused, has obviously affected power system operation and the safety of the user's facilities [1,2]. Among all kinds of power quality problems, the harmonic, which has a wide range of effects, is a main indicator that needs to be monitored in power quality. The harmonic voltage, which is measured by the voltage transformer, is the basic parameter of measurement and analysis in the study of harmonic problems. Among kinds of voltage transformer, “CVT” which is the common short form for “capacitor voltage transformer”, is mainly used in 110kV, 220kV and higher voltage grade grids [3]. Harmonic measurement results are basically derived from CVT in grids, which is applied CVT, with voltage levels of 110kV and above. But the transmission of harmonics by CVT has actually undergone a nonlinear change, in other words, the secondary side harmonic voltage measured by CVT can't reflect the true harmonic characteristics on the high voltage side. It is also clearly stated in GB/T14549-1993 that CVT can’t be used to measure harmonic voltage of power system [4]. If we can design a reasonable and effective measurement scheme, which is use the existing CVT to measure the percentage of harmonic voltage and obtain the true harmonic content in the high-voltage power grid. We will get more and more valuable references helping us solve the problem of monitoring power quality and governing harmonic in electric power system. This paper proposes a research method for harmonic measurement of CVT, based on an in-depth study of the basic structure of CVT. The research provides strong support for the management decision of power grid operation and maintenance department, improving the safety and economy of grid operation. Basic Structure and Equivalent Circuit Model of CVT Basic Structure of CVT The basic structure of the CVT is shown in Figure 1. It consists of a capacitor divider unit and an electromagnetic unit [5]. The capacitor divider unit consists of a high voltage capacitor and a low voltage capacitor. And the electromagnetic unit is composed of a compensating reactor and an intermediate transformer. The grid-side voltage is firstly reduced to medium voltage by the capacitive voltage divider, and then to low voltage signal for measurement, control and relay protection [6].","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"155 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115576169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zeng-jun Bi, Yao-quan Han, Cai-quan Huang, Min Wang
{"title":"Gaussian Naive Bayesian Data Classification Model Based on Clustering Algorithm","authors":"Zeng-jun Bi, Yao-quan Han, Cai-quan Huang, Min Wang","doi":"10.2991/masta-19.2019.67","DOIUrl":"https://doi.org/10.2991/masta-19.2019.67","url":null,"abstract":"A gaussian naive bayesian data classification model based on clustering algorithm was proposed for fast recognition and classification of unknown continuous data containing a large number of non-priori knowledge. Firstly, the unknown data were extracted from the representative samples according to the information entropy measure for clustering to generate class labels. Then, the mapping relationship between data and class labels was established by using the gaussian naive bayes algorithm, and the classification model was obtained through training. Simulation results show that this unsupervised analysis process has a good classification effect on new data. Introduction Classification is an important part of data mining. By learning training data, the mapping relationship between training data and predefined classes can be established[1]. In order to make the traditional classification algorithm classify data well without predetermined classification for learning semi-supervised or even unsupervised methods are used to improve the classification algorithm[2]. Literature [3] uses semi-supervised naive bayes classification algorithm to establish initial classification for a small number of data sets with class labels, and continuously updates the data with high classification accuracy to the training set when predicting and classifying the data without labels, so as to realize semi-supervised learning of data classification. However, this algorithm fails to fundamentally realize the unsupervised generation of class labels of data to be classified, and prior knowledge still plays a crucial role in the training of classification algorithm. Clustering is an unsupervised process in which the most similar objects are divided into a class based on the objects found in the data and their relationships[4,5]; Literature [6] applies unsupervised clustering to text clustering and constructs an automatic text classification model based on vector space model. However, the model is not suitable for the classification of continuous variables. Therefore, this paper combines the clustering algorithm with the gaussian naive bayes classification algorithm, and proposes an unsupervised classification model suitable for continuous variable data. In this method, small representative samples are extracted from large samples by information entropy theory, and prediction classes of observation data are generated by clustering algorithm as predefined target classes of classification algorithm, so that data are classified and prediction models are established without prior knowledge. Simulation results show that this model is efficient in classifying and processing new data, and only a small part of sample extraction is needed to train the classification model of the whole data, which greatly saves computing resources and time. Selection of Clustering Algorithm Classical clustering algorithm can be divided into hierarchical clustering algorithm, divide-based clustering algorit","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128466938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Numerical Simulation Research on Pressure Probe","authors":"Yi Zhang, Yu-bin Men","doi":"10.2991/MASTA-19.2019.52","DOIUrl":"https://doi.org/10.2991/MASTA-19.2019.52","url":null,"abstract":". This article presents an investigation on the flow characteristics of the air in complex probe. The flow fields around the complex probe in different Mach numbers is simulated to analysis the relation between flow field structure and text parameters. The investigation on complex probe shows that the Mach numbers has influence on the characteristic of complex probe. The flow field around the probe and shock wave distribution transform with the change of Mach number. The calibrate coefficient has disparate transformation law in subsonic speed flow field, near-sonic speed flow field and supersonic speed flow field.","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127146191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on Automatic Generation Algorithm for the Supporting Structure in FDM Process","authors":"Baoxiang Zhao, Su Wang, Fu-dong Xie","doi":"10.2991/masta-19.2019.59","DOIUrl":"https://doi.org/10.2991/masta-19.2019.59","url":null,"abstract":"According to the forming characteristics of FDM process in the Additive manufacturing, an algorithm for automatic generation of thin plate structure support based on the slice projection method is proposed. For the closed surface model (such as STL model, NURBS model), the algorithm uses slice projection method to automatically generate a series of crossed and parallel and spaced thin plates to provide external support. The algorithm reduces the computation problem from three-dimensional support area to the calculation of two dimensional support areas. The algorithm is stable and reliable, and the supporting structure has smaller volume and better stability. The supporting structure and part structure are independent to each other. Different path planning methods can be used for FDM path planning, and different materials can be used for the supporting structure and part structure. It is easy to dismantle the supporting structure in the postprocessing and greatly improves the flexibility of FDM process. Introduction The design of the supporting structure is one of the key technologies in FDM (Fused Deposition Modeling) process in the Additive manufacturing. When the parts have a suspended structure, it is necessary to have a supporting structure to support the suspended structure, otherwise collapse deformation will occur, which will leading to the failure of forming. The rationality of supporting structure has a great influence on the accuracy and efficiency of FDM parts, especially for large-scale building structures. At present, the most common supporting structures including complete supporting structure and incomplete supporting structure. For example, the unsintered material in the SLS process forms a complete supporting structure. In the FDM process, taking into account the removability of supporting structure, incomplete supporting structure is usually used. Incomplete supporting structures usually are tree-shaped, wall-shaped, gallows-shaped, etc. The wall-shaped and gallows-shaped supporting structures have good stability, but more consumables. Tree-shaped structure are few consumables, but poor stability[1-2]. The construction algorithms for supporting structure can be divided into two categories, one is based on the 3D model of closed surface structure, such as STL model and NURBS model, according to its geometric characteristics (such as the direction of the outer normal vector), the supporting areas are calculated and the complete or incomplete supporting structures are constructed[2-6]. The other is based on the two-dimensional slice contour model, boolean operation is used to calculate the supporting area of each layer and to construct a complete supporting structure [7-9]. In this paper, an automatic generation algorithm using thin plate supporting structure based on the slice projection method is proposed for the closed surface model (such as STL model, NURBS model). In the supporting direction of the solid model, the slice proje","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126227041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adaptive PID Control of Coal Feeder Based on Single Neuron","authors":"Xutun Wang, Xing-cheng Wang, Kai-wei Liu","doi":"10.2991/masta-19.2019.58","DOIUrl":"https://doi.org/10.2991/masta-19.2019.58","url":null,"abstract":". The coal feeder system is a part of coal conveying system of thermal power plant, which is mainly used for supplying coal to the boiler. During the operation of the coal feeder control system, the coal feeding rate is controlled according to the set value and the feedback information from the system, which makes the amount of coal sent to the boiler match the amount of coal needed, so as to achieve ideal economic benefits. In order to control the coal feeding quantity more accurately, for the time variability, hysteretic and other features of coal feeder, the coal feeder system model is built, and a single neuron adaptive PID method is proposed innovatively. The simulation results indicate that, compared with the conventional PID control, the method presented in this paper has small steady-state error, quick dynamic response and low overshoot.","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128103065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development and Application of a Concrete Apparent Beautifying Agent","authors":"J. Xing, L. Xiong, Xing Li","doi":"10.2991/MASTA-19.2019.74","DOIUrl":"https://doi.org/10.2991/MASTA-19.2019.74","url":null,"abstract":"The exquisite appearance of concrete components not only reflects the management level of construction units and the overall quality of operators, but also transmits the reliability of the inherent quality of the whole project and the aesthetic feeling of art.. The new demoulding agent prepared in this paper can effectively develop concrete demoulding agent, which can be sprayed, rolled, and constructed easily. The area of the template can be sprayed about 100 square meters with a kilogram of water-based demoulding agent, and more than 40 square meters can be rolled with a kilogram of oil-based demoulding agent. The template after use is easy to clean, safe and non-toxic, and has no pollution to the environment. The surface of concrete demoulding agent has less air bubbles and no residual oil pollution. It is a new generation of green environmental protection building materials. After a large number of laboratory experiments, a series of optimization of emulsifier, emulsifying temperature and emulsifying speed in the emulsification process were made. The best scheme was selected for pilot test in Wuhan New Building Material Factory, and was verified by the experiment in the North Fourth Ring Project.","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122007783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Groundwater Dynamics Method of Mine Discharge and Its Parameter Analysis","authors":"Man-man Zhang, D. Yao","doi":"10.2991/masta-19.2019.54","DOIUrl":"https://doi.org/10.2991/masta-19.2019.54","url":null,"abstract":"Absrtact. Mine discharge refers to the total amount of surface water, fissure water, old kiln water and karst water inflow into the mine roadway. It is an important indicator in the process of coal mine production safety, and also the focus of scholars' attention. Based on a large number of previous research results, this paper introduces the groundwater dynamic method of mine discharge, analyses the parameters in the theoretical formula, discusses the influence of the change of parameters on mine water inflow, and provides a reference for further understanding the calculation of mine discharge.","PeriodicalId":103896,"journal":{"name":"Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125545350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}