Pub Date : 2021-09-24DOI: 10.1109/ICISCAE52414.2021.9590710
Haiyan Chu, Shuhang Jia
In the autumn of 2004, Shandong Province, as one of the first pilot provinces to carry out the new curriculum reform of ordinary high schools, began a new round of curriculum reform. But at the same time, there is also a lack of curriculum resources and teachers in Shandong Province, which makes some advanced ideas in curriculum reform difficult to achieve the expected effect. With the development of information technology and modern educational technology, the teaching resource database system is widely used in various colleges and universities. This paper designs and implements the teaching resource database system based on clustering algorithm, which can effectively improve the retrieval efficiency of teaching resources and improve the overall performance of the teaching resource database management system. Teaching resource library is an important part of modern education. Its construction can provide students with a good learning environment and meet their learning needs. The construction of teaching resources is the foundation of educational informationization, and it is a systematic project that needs long-term construction and maintenance, so it can promote the development of this educational infrastructure work continuously and steadily.
{"title":"Research on Shandong Province Teaching Resource Database System Based on Clustering Algorithm","authors":"Haiyan Chu, Shuhang Jia","doi":"10.1109/ICISCAE52414.2021.9590710","DOIUrl":"https://doi.org/10.1109/ICISCAE52414.2021.9590710","url":null,"abstract":"In the autumn of 2004, Shandong Province, as one of the first pilot provinces to carry out the new curriculum reform of ordinary high schools, began a new round of curriculum reform. But at the same time, there is also a lack of curriculum resources and teachers in Shandong Province, which makes some advanced ideas in curriculum reform difficult to achieve the expected effect. With the development of information technology and modern educational technology, the teaching resource database system is widely used in various colleges and universities. This paper designs and implements the teaching resource database system based on clustering algorithm, which can effectively improve the retrieval efficiency of teaching resources and improve the overall performance of the teaching resource database management system. Teaching resource library is an important part of modern education. Its construction can provide students with a good learning environment and meet their learning needs. The construction of teaching resources is the foundation of educational informationization, and it is a systematic project that needs long-term construction and maintenance, so it can promote the development of this educational infrastructure work continuously and steadily.","PeriodicalId":121049,"journal":{"name":"2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134256812","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}
Pub Date : 2021-09-24DOI: 10.1109/ICISCAE52414.2021.9590819
Zhuohao Zhang, Ming Chen, Z. Ren, Wei Shi
The structure of water jet cutting machine is complex and the components are closely related. Its fault characteristics often have the characteristics of nonlinearity, coupling, uncertainty and complex causality. Traditional fault diagnosis methods have been difficult to solve the problem of water jet cutting machine fault detection quickly and effectively. As a new talent in the field of intelligent fault diagnosis, machine learning can independently mine the representative diagnostic information hidden in the original data and directly establish the accurate mapping relationship between the original data and the operating state, which has been increasingly applied in industrial diagnosis. In this paper, the application of intelligent fault diagnosis method for water jet cutting machine is explored. Data acquisition system of water jet cutting machine is built. Aiming at several common faults of water jet cutting machine, a fault diagnosis model is established based on PNN network, and the network is trained and tested with actual collected data. The results show that the probabilistic neural network model can better realize the fault diagnosis of common faults of water jet cutting machine.
{"title":"Research on Water Jet Fault Diagnosis Model Based on PNN Network","authors":"Zhuohao Zhang, Ming Chen, Z. Ren, Wei Shi","doi":"10.1109/ICISCAE52414.2021.9590819","DOIUrl":"https://doi.org/10.1109/ICISCAE52414.2021.9590819","url":null,"abstract":"The structure of water jet cutting machine is complex and the components are closely related. Its fault characteristics often have the characteristics of nonlinearity, coupling, uncertainty and complex causality. Traditional fault diagnosis methods have been difficult to solve the problem of water jet cutting machine fault detection quickly and effectively. As a new talent in the field of intelligent fault diagnosis, machine learning can independently mine the representative diagnostic information hidden in the original data and directly establish the accurate mapping relationship between the original data and the operating state, which has been increasingly applied in industrial diagnosis. In this paper, the application of intelligent fault diagnosis method for water jet cutting machine is explored. Data acquisition system of water jet cutting machine is built. Aiming at several common faults of water jet cutting machine, a fault diagnosis model is established based on PNN network, and the network is trained and tested with actual collected data. The results show that the probabilistic neural network model can better realize the fault diagnosis of common faults of water jet cutting machine.","PeriodicalId":121049,"journal":{"name":"2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123960254","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}
Pub Date : 2021-09-24DOI: 10.1109/ICISCAE52414.2021.9590653
Wang Cheng, L. Jianhua, Lu Chenghui
Stretch Forming Lattice Structure (SFL), composed of upper chord, lower chord, vertical web member and lateral support member, is a self-balance structure. Using APDL (ANSYS Parametric Design Language), static analyses are conducted for the fully forming process of SFL with a long span of 90m. Result show that both geometrical and material nonlinear analysis of structure is necessary to SFL, and the upper chord is the most important prestress-carrying members in the forming process in comparison with the vertical web and the lateral support members etc, and mainly subjected to the bending moment in comparison with the axial force. SFL with merits of rationally mechanical characteristics, novelty of constructional detail and convenience of execution will have great prospect.
{"title":"Study on Forming Process of Stretch Forming Lattice Structure","authors":"Wang Cheng, L. Jianhua, Lu Chenghui","doi":"10.1109/ICISCAE52414.2021.9590653","DOIUrl":"https://doi.org/10.1109/ICISCAE52414.2021.9590653","url":null,"abstract":"Stretch Forming Lattice Structure (SFL), composed of upper chord, lower chord, vertical web member and lateral support member, is a self-balance structure. Using APDL (ANSYS Parametric Design Language), static analyses are conducted for the fully forming process of SFL with a long span of 90m. Result show that both geometrical and material nonlinear analysis of structure is necessary to SFL, and the upper chord is the most important prestress-carrying members in the forming process in comparison with the vertical web and the lateral support members etc, and mainly subjected to the bending moment in comparison with the axial force. SFL with merits of rationally mechanical characteristics, novelty of constructional detail and convenience of execution will have great prospect.","PeriodicalId":121049,"journal":{"name":"2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130327762","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}
Pub Date : 2021-09-24DOI: 10.1109/ICISCAE52414.2021.9590820
Yaqiong Wang, Zhiqiang Liu, Guanghui Yuan
With the rapid development of mobile social platforms, there is a lot of positive and negative information on the Internet. These positive and negative information influences each other and together affects the epidemic spreading. Among them, the source of positive information with high credibility has been verified, and the source of negative information with low credibility is vague. Aiming at the situation that the positive and negative information in the network competes with each other, this paper constructs the co-evolution spreading model of network information and epidemic spreading to study the effect of the dynamic changes of network information on the epidemic spreading. Based on the co-evolution spreading model of network information and epidemic spreading, the dynamic evolution process and threshold of the spreading system are analyzed using the average field method, and the numerical simulation experiments were used to simulate the influence of different parameters in the network information layer on the epidemic spreading. Our results show that the game of positive and negative information in the network information layer directly affects the epidemic spreading process.
{"title":"The co-evolution propagation model of information and epidemic based on positive and negative information game","authors":"Yaqiong Wang, Zhiqiang Liu, Guanghui Yuan","doi":"10.1109/ICISCAE52414.2021.9590820","DOIUrl":"https://doi.org/10.1109/ICISCAE52414.2021.9590820","url":null,"abstract":"With the rapid development of mobile social platforms, there is a lot of positive and negative information on the Internet. These positive and negative information influences each other and together affects the epidemic spreading. Among them, the source of positive information with high credibility has been verified, and the source of negative information with low credibility is vague. Aiming at the situation that the positive and negative information in the network competes with each other, this paper constructs the co-evolution spreading model of network information and epidemic spreading to study the effect of the dynamic changes of network information on the epidemic spreading. Based on the co-evolution spreading model of network information and epidemic spreading, the dynamic evolution process and threshold of the spreading system are analyzed using the average field method, and the numerical simulation experiments were used to simulate the influence of different parameters in the network information layer on the epidemic spreading. Our results show that the game of positive and negative information in the network information layer directly affects the epidemic spreading process.","PeriodicalId":121049,"journal":{"name":"2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128042802","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}
Pub Date : 2021-09-24DOI: 10.1109/ICISCAE52414.2021.9590702
Yili Ren, Jian Liang, Siwu Luo
Carbonate rock is a kind of very valuable sedimentary rock, and oolites are one of the most easily identifiable particles in the carbonate rock image. Based on the traditional image segmentation algorithm, this paper proposes two extraction strategies for carbonate oolitic components. The first is the extraction technology of carbonate rock oolites based on traditional image segmentation algorithm: first extract the connected domains of the carbonate rock image, then use the K-Means clustering algorithm to analyze the processed image, and then analyze the image Binary processing, and finally extract the contours of the oolites; the second, the carbonate rock oolite extraction technology based on the superpixel segmentation algorithm: first use the SLIC algorithm to segment the acid rock image; secondly, the road extract. The test results show that the two extraction strategies can clearly extract the oolitic components of salt rock. In addition, according to the experimental results in this paper, it can be seen that the oolitic extraction technology based on SLIC superpixel segmentation is slightly better than that based on traditional image segmentation algorithm.
{"title":"Two extraction methods for carbonate rock oolites based on image segmentation algorithm","authors":"Yili Ren, Jian Liang, Siwu Luo","doi":"10.1109/ICISCAE52414.2021.9590702","DOIUrl":"https://doi.org/10.1109/ICISCAE52414.2021.9590702","url":null,"abstract":"Carbonate rock is a kind of very valuable sedimentary rock, and oolites are one of the most easily identifiable particles in the carbonate rock image. Based on the traditional image segmentation algorithm, this paper proposes two extraction strategies for carbonate oolitic components. The first is the extraction technology of carbonate rock oolites based on traditional image segmentation algorithm: first extract the connected domains of the carbonate rock image, then use the K-Means clustering algorithm to analyze the processed image, and then analyze the image Binary processing, and finally extract the contours of the oolites; the second, the carbonate rock oolite extraction technology based on the superpixel segmentation algorithm: first use the SLIC algorithm to segment the acid rock image; secondly, the road extract. The test results show that the two extraction strategies can clearly extract the oolitic components of salt rock. In addition, according to the experimental results in this paper, it can be seen that the oolitic extraction technology based on SLIC superpixel segmentation is slightly better than that based on traditional image segmentation algorithm.","PeriodicalId":121049,"journal":{"name":"2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"89 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129947136","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}
Pub Date : 2021-09-24DOI: 10.1109/ICISCAE52414.2021.9590805
Zhenhuan Liu, Yulong Chen, Yuan Li
At present, the company has invested more scientific research work and case projects in noise source control and noise transmission path control. For example, in the aspect of noise source control, the company has successively issued a number of noise reduction topics for the main equipment body. By studying the internal structure of the main equipment, it puts forward the optimization scheme for the internal structure of the equipment to reduce the noise radiation energy, so as to achieve the noise control at the noise source. This kind of control effect at the noise source is the most direct and effective, but also the most difficult. In the aspect of noise transmission path control, sound absorption technology, sound insulation technology, noise elimination technology and damping technology are mainly adopted at present. In UHV substation, UHV main transformer is located in the central area of the station site, and its contribution to noise of plant boundary and noise sensitive buildings outside the station is relatively small, while high voltage shunt reactor is often located near the station boundary, The noise contribution to the noise sensitive buildings outside the plant boundary and the station is large, which has become the key object of noise control in UHV substation. Therefore, the control of sound transmission in UHV substation focuses on shunt reactor, such as heightening the plant boundary wall at the side of shunt reactor and installing sound insulation cover on the reactor[1]. This paper focuses on the influence of sound barrier, ground effect and acoustic interference effect on the sound propagation process. Based on the analysis of the sound barrier theory, the test site is built to measure the sound field distribution of the artificial sound source at different frequencies, analyze the influence of the shelter on the noise propagation path of the artificial sound source, and then study the firewall, the noise source and the noise source The influence of enclosure and other shelter on the transmission mode of substation noise. The second is based on the noise propagation theory of ISO 9613–2 ground effect, select the test site, carry out the sound propagation test of cement ground and green plant (lawn) ground under the condition of artificial sound source, analyze the ground effect noise attenuation under different frequencies and different receiving distances, and correct the corresponding attenuation items specified in the international standard ISO 9613–2. Thirdly, based on the sound source characteristics of shunt reactor obtained in topic 1, the interference sound field characteristics around the reactor are analyzed, and then the interference sound field measurement test scheme of shunt reactor in UHV substation is formulated. The field measurement is carried out to analyze the influence of acoustic interference on substation noise propagation mode, and to clarify the extent and scope of the influence of acoustic interf
{"title":"Simulation analysis of interference sound field of shunt high voltage reactor","authors":"Zhenhuan Liu, Yulong Chen, Yuan Li","doi":"10.1109/ICISCAE52414.2021.9590805","DOIUrl":"https://doi.org/10.1109/ICISCAE52414.2021.9590805","url":null,"abstract":"At present, the company has invested more scientific research work and case projects in noise source control and noise transmission path control. For example, in the aspect of noise source control, the company has successively issued a number of noise reduction topics for the main equipment body. By studying the internal structure of the main equipment, it puts forward the optimization scheme for the internal structure of the equipment to reduce the noise radiation energy, so as to achieve the noise control at the noise source. This kind of control effect at the noise source is the most direct and effective, but also the most difficult. In the aspect of noise transmission path control, sound absorption technology, sound insulation technology, noise elimination technology and damping technology are mainly adopted at present. In UHV substation, UHV main transformer is located in the central area of the station site, and its contribution to noise of plant boundary and noise sensitive buildings outside the station is relatively small, while high voltage shunt reactor is often located near the station boundary, The noise contribution to the noise sensitive buildings outside the plant boundary and the station is large, which has become the key object of noise control in UHV substation. Therefore, the control of sound transmission in UHV substation focuses on shunt reactor, such as heightening the plant boundary wall at the side of shunt reactor and installing sound insulation cover on the reactor[1]. This paper focuses on the influence of sound barrier, ground effect and acoustic interference effect on the sound propagation process. Based on the analysis of the sound barrier theory, the test site is built to measure the sound field distribution of the artificial sound source at different frequencies, analyze the influence of the shelter on the noise propagation path of the artificial sound source, and then study the firewall, the noise source and the noise source The influence of enclosure and other shelter on the transmission mode of substation noise. The second is based on the noise propagation theory of ISO 9613–2 ground effect, select the test site, carry out the sound propagation test of cement ground and green plant (lawn) ground under the condition of artificial sound source, analyze the ground effect noise attenuation under different frequencies and different receiving distances, and correct the corresponding attenuation items specified in the international standard ISO 9613–2. Thirdly, based on the sound source characteristics of shunt reactor obtained in topic 1, the interference sound field characteristics around the reactor are analyzed, and then the interference sound field measurement test scheme of shunt reactor in UHV substation is formulated. The field measurement is carried out to analyze the influence of acoustic interference on substation noise propagation mode, and to clarify the extent and scope of the influence of acoustic interf","PeriodicalId":121049,"journal":{"name":"2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130511301","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}
Pub Date : 2021-09-24DOI: 10.1109/ICISCAE52414.2021.9590663
Hanyu Wang
Deep learning (DL) is a fresh study orientation in the field of machine learning in computer science. It is recommend into machine learning to make it nearer to the customary artificial target intelligence. DL is the inherent law and express level of learning sample data, and the information get in the learning procedure is of mighty help to the explain of data such as words, images and sounds. CNN (Convolutional Neural Network) combines feature extraction with itemize process to train neural network, which has acquire mighty successful in the field of image classification. This paper focuses on the automatic classification of fetal facial ultrasound images. A 19-layer convolution network is proposed and improved. By using data enhancement, adding global mean pooling layer, reducing the number of channels in the full connection layer of the model, and optimizing learning based on parameter transfer learning of fine-tuning training, the automatic classification of fetal facial ultrasound images with limited data volume can be realized. Match with the present solutions, the depth network proposed in this paper can effectively avoid ultrasonic noise interference and learn deep features more effectively. A heavy quantity of specific analysis test have proved its effectiveness.
{"title":"Research on Bioengineering Algorithm Based on Deep Learning Neural Network","authors":"Hanyu Wang","doi":"10.1109/ICISCAE52414.2021.9590663","DOIUrl":"https://doi.org/10.1109/ICISCAE52414.2021.9590663","url":null,"abstract":"Deep learning (DL) is a fresh study orientation in the field of machine learning in computer science. It is recommend into machine learning to make it nearer to the customary artificial target intelligence. DL is the inherent law and express level of learning sample data, and the information get in the learning procedure is of mighty help to the explain of data such as words, images and sounds. CNN (Convolutional Neural Network) combines feature extraction with itemize process to train neural network, which has acquire mighty successful in the field of image classification. This paper focuses on the automatic classification of fetal facial ultrasound images. A 19-layer convolution network is proposed and improved. By using data enhancement, adding global mean pooling layer, reducing the number of channels in the full connection layer of the model, and optimizing learning based on parameter transfer learning of fine-tuning training, the automatic classification of fetal facial ultrasound images with limited data volume can be realized. Match with the present solutions, the depth network proposed in this paper can effectively avoid ultrasonic noise interference and learn deep features more effectively. A heavy quantity of specific analysis test have proved its effectiveness.","PeriodicalId":121049,"journal":{"name":"2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129831486","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}
Pub Date : 2021-09-24DOI: 10.1109/ICISCAE52414.2021.9590756
Yang Lu, Jianye An, Shukai Shi
Agriculture is the source of food and clothing for human society, the foundation of survival, the foundation of supporting the whole national economy, and the guarantee of continuous development and progress of society. Although China is a big agricultural country, China's agricultural competitiveness is still at a disadvantage compared with developed countries such as Europe and America. The main reason is that most areas of China are still in the mode of intensive farming and small-scale farming, relying mainly on abundant natural resources and low labor costs to gain international advantages. Information technology is used as a channel to connect all links of modern agriculture. Accurate, timely and effective acquisition, dissemination and application of information can greatly improve the level of agricultural management and promote the rapid development of agricultural economy. The emergence of the IoT provides a very favorable technical support for the development of smart agriculture. Under the background of big data era, this paper discusses how to effectively combine intelligent agriculture with IoT technology in China, and puts forward the construction method of intelligent agriculture IoT system based on heterogeneous networking technology, which is of positive significance to the development of agriculture.
{"title":"Research on Smart Agriculture IoT System Based Heterogeneous Networking Technology","authors":"Yang Lu, Jianye An, Shukai Shi","doi":"10.1109/ICISCAE52414.2021.9590756","DOIUrl":"https://doi.org/10.1109/ICISCAE52414.2021.9590756","url":null,"abstract":"Agriculture is the source of food and clothing for human society, the foundation of survival, the foundation of supporting the whole national economy, and the guarantee of continuous development and progress of society. Although China is a big agricultural country, China's agricultural competitiveness is still at a disadvantage compared with developed countries such as Europe and America. The main reason is that most areas of China are still in the mode of intensive farming and small-scale farming, relying mainly on abundant natural resources and low labor costs to gain international advantages. Information technology is used as a channel to connect all links of modern agriculture. Accurate, timely and effective acquisition, dissemination and application of information can greatly improve the level of agricultural management and promote the rapid development of agricultural economy. The emergence of the IoT provides a very favorable technical support for the development of smart agriculture. Under the background of big data era, this paper discusses how to effectively combine intelligent agriculture with IoT technology in China, and puts forward the construction method of intelligent agriculture IoT system based on heterogeneous networking technology, which is of positive significance to the development of agriculture.","PeriodicalId":121049,"journal":{"name":"2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117003803","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}
Pub Date : 2021-09-24DOI: 10.1109/ICISCAE52414.2021.9590670
Xinyue Sun, Yangshuo Zhang, R. Liu
The development of Internet of things technology has brought about changes in the monitoring industry. The integration of video monitoring and defense monitoring system based on video technology and sensor technology becomes possible. In this paper, combined with the widely used video monitoring equipment and defense monitoring equipment in the current market, as well as the corresponding software interface, a set of integrated security monitoring software system with defense monitoring and video monitoring functions is designed, which can quickly make video response in the defense alarm. At the same time, this paper discusses the key technical problems that need to be solved in the practical application of the system.
{"title":"Design of security integrated monitoring system based on Internet of things","authors":"Xinyue Sun, Yangshuo Zhang, R. Liu","doi":"10.1109/ICISCAE52414.2021.9590670","DOIUrl":"https://doi.org/10.1109/ICISCAE52414.2021.9590670","url":null,"abstract":"The development of Internet of things technology has brought about changes in the monitoring industry. The integration of video monitoring and defense monitoring system based on video technology and sensor technology becomes possible. In this paper, combined with the widely used video monitoring equipment and defense monitoring equipment in the current market, as well as the corresponding software interface, a set of integrated security monitoring software system with defense monitoring and video monitoring functions is designed, which can quickly make video response in the defense alarm. At the same time, this paper discusses the key technical problems that need to be solved in the practical application of the system.","PeriodicalId":121049,"journal":{"name":"2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123068574","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}
Pub Date : 2021-09-24DOI: 10.1109/ICISCAE52414.2021.9590810
Yabo Luo, Hongxi Teng
As the half-life period of knowledge is getting shorter and shorter, the mutual transformation between scientific research results and teaching content is an effective means to keep students updated with knowledge. Based on the principle of knowledge classification, this study takes the law of students' acceptance of knowledge into account and resolves knowledge into four “domains” of different levels: the basic domain, simulation domain, design domain, and exploration domain, so as to reconstruct the teaching content. In the basic domain and simulation domain, knowledge is mainly the traditional basic theoretical knowledge and the most advanced scientific results. In the design domain and exploration domain, students transform from knowledge recipients to knowledge applicators and developers, thus realizing the mutual transformation between scientific research results and teaching contents. Years of teaching practice shows that the reconstruction of teaching content based on Hierarchical domain knowledge has a remarkable effect on improving students' independent innovation ability.
{"title":"Teaching Case Study on Educational Reform Based on Hierarchical Domain Knowledge Reconstruction","authors":"Yabo Luo, Hongxi Teng","doi":"10.1109/ICISCAE52414.2021.9590810","DOIUrl":"https://doi.org/10.1109/ICISCAE52414.2021.9590810","url":null,"abstract":"As the half-life period of knowledge is getting shorter and shorter, the mutual transformation between scientific research results and teaching content is an effective means to keep students updated with knowledge. Based on the principle of knowledge classification, this study takes the law of students' acceptance of knowledge into account and resolves knowledge into four “domains” of different levels: the basic domain, simulation domain, design domain, and exploration domain, so as to reconstruct the teaching content. In the basic domain and simulation domain, knowledge is mainly the traditional basic theoretical knowledge and the most advanced scientific results. In the design domain and exploration domain, students transform from knowledge recipients to knowledge applicators and developers, thus realizing the mutual transformation between scientific research results and teaching contents. Years of teaching practice shows that the reconstruction of teaching content based on Hierarchical domain knowledge has a remarkable effect on improving students' independent innovation ability.","PeriodicalId":121049,"journal":{"name":"2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115211888","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}
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