Automated intelligent transportation warehouse play a crucial role in the transportation system of domestic logistics enterprises, the warehouse transport stacker is the necessary device due to its transport execution mechanism. In this paper, a control system for the storehouse stacker system is proposed. Firstly, the yard is divided into several areas according to the size of the warehouse, the goods are stored in the specific area based on the frequency of entering and exiting to improve the transport efficiency. Secondly, the control system of the warehouse transport stacker based on PLC programming and SIEMENS MM440 frequency converter is constructed to realize the movement control, automatic storage and withdrawal.
{"title":"Research on Java Compiling System for Embedded Systems","authors":"Haowen Luo, Yu Zhang, Shenglan Zhang","doi":"10.1145/3305275.3305342","DOIUrl":"https://doi.org/10.1145/3305275.3305342","url":null,"abstract":"Automated intelligent transportation warehouse play a crucial role in the transportation system of domestic logistics enterprises, the warehouse transport stacker is the necessary device due to its transport execution mechanism. In this paper, a control system for the storehouse stacker system is proposed. Firstly, the yard is divided into several areas according to the size of the warehouse, the goods are stored in the specific area based on the frequency of entering and exiting to improve the transport efficiency. Secondly, the control system of the warehouse transport stacker based on PLC programming and SIEMENS MM440 frequency converter is constructed to realize the movement control, automatic storage and withdrawal.","PeriodicalId":370976,"journal":{"name":"Proceedings of the International Symposium on Big Data and Artificial Intelligence","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134396226","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}
In recent years, information technology has achieved rapid development and has been widely used in many fields. With the continuous improvement of the level of higher education and the scale of education in China, colleges and universities have paid more and more attention to the use of information technology in education management. Many universities have carried out research work on education management systems based on big data. It summarizes the related theories of big data, analyzes the importance of big data, and puts forward effective solutions according to the application status of big data in college education management system. In the overall system architecture, database security, system requirements, After detailed requirements analysis of system functions and other aspects, a system solution combining flexibility, openness and applicability was developed. For the domestic educational management systems, most of them are based on C/S or B/S single mode, they are difficult to meet the system solution requirements proposed in this paper. The system developed in this paper proposes a combination of C/S and B/S modes. Oracle and PL/SQL are used as the back-end database. The front-end development tools use Delphi2009, ASP.net, PL/SQL Developer and auxiliary software Dreamweaver5.0.
{"title":"Research on University Education Management System Based on Big Data","authors":"Xiuling Ou","doi":"10.1145/3305275.3305330","DOIUrl":"https://doi.org/10.1145/3305275.3305330","url":null,"abstract":"In recent years, information technology has achieved rapid development and has been widely used in many fields. With the continuous improvement of the level of higher education and the scale of education in China, colleges and universities have paid more and more attention to the use of information technology in education management. Many universities have carried out research work on education management systems based on big data. It summarizes the related theories of big data, analyzes the importance of big data, and puts forward effective solutions according to the application status of big data in college education management system. In the overall system architecture, database security, system requirements, After detailed requirements analysis of system functions and other aspects, a system solution combining flexibility, openness and applicability was developed. For the domestic educational management systems, most of them are based on C/S or B/S single mode, they are difficult to meet the system solution requirements proposed in this paper. The system developed in this paper proposes a combination of C/S and B/S modes. Oracle and PL/SQL are used as the back-end database. The front-end development tools use Delphi2009, ASP.net, PL/SQL Developer and auxiliary software Dreamweaver5.0.","PeriodicalId":370976,"journal":{"name":"Proceedings of the International Symposium on Big Data and Artificial Intelligence","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123844286","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}
Deep learning and non-supervised learning methods have a wide range of applications in image feature extraction. This article uses MATLAB to train a deep neural network to classify handwritten digital pictures. The deep neural network is formed by stacking multiple sparse auto-encoders, training the data in an unsupervised manner, initializing the weights of the network, and then fine-tuning the network with a reciprocal propagation algorithm. Finally, the images is classified using the soft-max classifier. Sparse reduces the number of dimensions effectively, and the back propagation algorithm is optimized on the cost function, leading to the accuracy rate has been greatly improved, and completing the classification of handwritten numbers.
{"title":"Application of Sparse auto-encoder in Handwritten Digit Recognition","authors":"Kaihong Zhou, Xinxin Qiao, Jingkai Shi","doi":"10.1145/3305275.3305277","DOIUrl":"https://doi.org/10.1145/3305275.3305277","url":null,"abstract":"Deep learning and non-supervised learning methods have a wide range of applications in image feature extraction. This article uses MATLAB to train a deep neural network to classify handwritten digital pictures. The deep neural network is formed by stacking multiple sparse auto-encoders, training the data in an unsupervised manner, initializing the weights of the network, and then fine-tuning the network with a reciprocal propagation algorithm. Finally, the images is classified using the soft-max classifier. Sparse reduces the number of dimensions effectively, and the back propagation algorithm is optimized on the cost function, leading to the accuracy rate has been greatly improved, and completing the classification of handwritten numbers.","PeriodicalId":370976,"journal":{"name":"Proceedings of the International Symposium on Big Data and Artificial Intelligence","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122777772","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}
With the continuous improvement of Internet technology, Internet users growing, online shopping consumers continue to increase, electric business platform number and size are also on the increase, the ensuing competition is more and more teeth. One of the shopping platforms has its unique advantages. Nonetheless, in each big electric business enterprise in order to make a massive increase in sales and profit, WeChat store platform to meet consumer demand, in the huge competition draw consumer attention in order to get more profit. Based on WeChat store platform of consumer shopping behavior related research on the basis of the summary of the seven factors, from the perspective of WeChat store consumers, using SPSS software, the influencing factors of consumer purchase behavior data analysis and research, for WeChat shop platform and WeChat shop stores provide some enlightenment for the establishment of marketing strategy.
{"title":"Research on Influencing Factors of Consumer Behavior Based on Wechat Stores","authors":"Qiaoqin Su","doi":"10.1145/3305275.3305292","DOIUrl":"https://doi.org/10.1145/3305275.3305292","url":null,"abstract":"With the continuous improvement of Internet technology, Internet users growing, online shopping consumers continue to increase, electric business platform number and size are also on the increase, the ensuing competition is more and more teeth. One of the shopping platforms has its unique advantages. Nonetheless, in each big electric business enterprise in order to make a massive increase in sales and profit, WeChat store platform to meet consumer demand, in the huge competition draw consumer attention in order to get more profit. Based on WeChat store platform of consumer shopping behavior related research on the basis of the summary of the seven factors, from the perspective of WeChat store consumers, using SPSS software, the influencing factors of consumer purchase behavior data analysis and research, for WeChat shop platform and WeChat shop stores provide some enlightenment for the establishment of marketing strategy.","PeriodicalId":370976,"journal":{"name":"Proceedings of the International Symposium on Big Data and Artificial Intelligence","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132448288","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":"Proceedings of the International Symposium on Big Data and Artificial Intelligence","authors":"","doi":"10.1145/3305275","DOIUrl":"https://doi.org/10.1145/3305275","url":null,"abstract":"","PeriodicalId":370976,"journal":{"name":"Proceedings of the International Symposium on Big Data and Artificial Intelligence","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114761635","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}
The birth of artificial makes landscape information measurement, storage and analysis be more accurate and efficient. Meanwhile, it also creates the new manifestation mode for landscape designers to reappear perception experience landscape which greatly liberates designers' brain to return the design to the creation. The development of artificial intelligent technology brings the new opportunities to landscape design. From the perspective of the intelligent lighting technology in the artificial intelligence technology, the paper explores the influence and application of the artificial intelligence to landscape design.
{"title":"The Exploration of Interactive Landscape Design Based on Artificial Intelligence","authors":"Yuchu Han","doi":"10.1145/3305275.3305290","DOIUrl":"https://doi.org/10.1145/3305275.3305290","url":null,"abstract":"The birth of artificial makes landscape information measurement, storage and analysis be more accurate and efficient. Meanwhile, it also creates the new manifestation mode for landscape designers to reappear perception experience landscape which greatly liberates designers' brain to return the design to the creation. The development of artificial intelligent technology brings the new opportunities to landscape design. From the perspective of the intelligent lighting technology in the artificial intelligence technology, the paper explores the influence and application of the artificial intelligence to landscape design.","PeriodicalId":370976,"journal":{"name":"Proceedings of the International Symposium on Big Data and Artificial Intelligence","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134618379","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}
The field test of an industrial plant equipment and the non-stationary characteristics of the excitation data caused by the vibration of the equipment are studied in this paper. Then combined with the short-time Fourier transform, the changes of excitation force characteristics under normal operation, start-up and shut-down of multiple machines are investigated based on the measured data Finally, suggestions for plant safety are also put forward.
{"title":"Study on the Vibration Data of Industrial Plant Equipment","authors":"Gang Wang, Cai Wu, Shujin Li","doi":"10.1145/3305275.3305317","DOIUrl":"https://doi.org/10.1145/3305275.3305317","url":null,"abstract":"The field test of an industrial plant equipment and the non-stationary characteristics of the excitation data caused by the vibration of the equipment are studied in this paper. Then combined with the short-time Fourier transform, the changes of excitation force characteristics under normal operation, start-up and shut-down of multiple machines are investigated based on the measured data Finally, suggestions for plant safety are also put forward.","PeriodicalId":370976,"journal":{"name":"Proceedings of the International Symposium on Big Data and Artificial Intelligence","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127968763","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}
In this paper, a smart baby carriage control system is designed with STC89C52RC microcontroller as the control core. Smart baby carriage measures the information of the surrounding obstacles and the guardian by photoelectric sensor and ultrasonic sensor to realizing the anti-collision and automatic following of the baby carriage. The position of the baby and the guardian is detected by infrared sensor of the human body, to realizing the automatic brake of the baby carriage and the lost alarm of the baby. And collecting the temperature of baby's humidity information of the baby carriage seat by humidity sensor to realize the baby's urine wet alarm. The experimental results show that the smart baby carriage model designed and made in this paper is stable, easy to operate, safe and practical, to better care for the baby's growth.
{"title":"Design of Smart Baby Carriage Based on MCU","authors":"Zheng Fan, Hong Zhao, Zhanzuo Liang","doi":"10.1145/3305275.3305332","DOIUrl":"https://doi.org/10.1145/3305275.3305332","url":null,"abstract":"In this paper, a smart baby carriage control system is designed with STC89C52RC microcontroller as the control core. Smart baby carriage measures the information of the surrounding obstacles and the guardian by photoelectric sensor and ultrasonic sensor to realizing the anti-collision and automatic following of the baby carriage. The position of the baby and the guardian is detected by infrared sensor of the human body, to realizing the automatic brake of the baby carriage and the lost alarm of the baby. And collecting the temperature of baby's humidity information of the baby carriage seat by humidity sensor to realize the baby's urine wet alarm. The experimental results show that the smart baby carriage model designed and made in this paper is stable, easy to operate, safe and practical, to better care for the baby's growth.","PeriodicalId":370976,"journal":{"name":"Proceedings of the International Symposium on Big Data and Artificial Intelligence","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114968378","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}
Jia-Jun Qiu, Yue Wu, Jia Chen, Bei Hui, Zixing Huang, Lin Ji
Purpose: To explore the value of a texture analysis method based on statistical contourlet coefficient in the computer-aided diagnosis of pancreatic cancer and normal pancreas. Methods: This paper proposed a texture analysis method based on statistical contourlet coefficient (SCC) to extract the quantitative features of regions of interest (ROIs) in non-enhanced CT images. The SCC method consisted of two steps. First, it decompose an ROI into several subbands at multiple directions in multiple layers, where a "9-7" filter was applied in the Laplacian pyramid filtering stage and a "pkva" filter was applied in the directional filtering stage. Then, it performed normalization on the coefficient matrices of the subbands and extracted the first and second order statistical features of the normalized matrices. Six traditional texture analysis methods that are widely used for medical image processing were used for comparisons. After the feature extraction, feature selection and classification (10-fold cross training and test) were performed, and the classification results were evaluated. Results: The proposed method achieved the best classification result: the average accuracy was 79.52%; the average sensitivity was 78.5%; the average specificity was 80.63%; the average AUC was 0.848. Conclusions: It indicates that the texture analysis method based on statistical contourlet coefficient is rewarding for computer-aided diagnosis of pancreatic cancer and normal pancreas using non-enhanced CT images. It can reduce the workload of radiologists and play a significant guiding effect on junior radiologists.
{"title":"A Texture Analysis Method Based on Statistical Contourlet Coefficient Applied to the Classification of Pancreatic Cancer and Normal Pancreas","authors":"Jia-Jun Qiu, Yue Wu, Jia Chen, Bei Hui, Zixing Huang, Lin Ji","doi":"10.1145/3305275.3305278","DOIUrl":"https://doi.org/10.1145/3305275.3305278","url":null,"abstract":"Purpose: To explore the value of a texture analysis method based on statistical contourlet coefficient in the computer-aided diagnosis of pancreatic cancer and normal pancreas. Methods: This paper proposed a texture analysis method based on statistical contourlet coefficient (SCC) to extract the quantitative features of regions of interest (ROIs) in non-enhanced CT images. The SCC method consisted of two steps. First, it decompose an ROI into several subbands at multiple directions in multiple layers, where a \"9-7\" filter was applied in the Laplacian pyramid filtering stage and a \"pkva\" filter was applied in the directional filtering stage. Then, it performed normalization on the coefficient matrices of the subbands and extracted the first and second order statistical features of the normalized matrices. Six traditional texture analysis methods that are widely used for medical image processing were used for comparisons. After the feature extraction, feature selection and classification (10-fold cross training and test) were performed, and the classification results were evaluated. Results: The proposed method achieved the best classification result: the average accuracy was 79.52%; the average sensitivity was 78.5%; the average specificity was 80.63%; the average AUC was 0.848. Conclusions: It indicates that the texture analysis method based on statistical contourlet coefficient is rewarding for computer-aided diagnosis of pancreatic cancer and normal pancreas using non-enhanced CT images. It can reduce the workload of radiologists and play a significant guiding effect on junior radiologists.","PeriodicalId":370976,"journal":{"name":"Proceedings of the International Symposium on Big Data and Artificial Intelligence","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122023569","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}
The object oriented method is used to design the rolling force sensor, which can be combined with the advantages of object oriented method for targeted and efficient design of the detection object. The steps of sensor design are abstracted as: object analysis, sensor design, measurement circuit design, packaging structure design and so on. This method can be reasonably designed in simulation. In this paper, through the design of rolling force sensor of continuous injection and continuous rolling equipment, it can greatly reduce redundant operation, save design time, rationally and efficiently use resources, and meet the actual demand of rolling force detection, which proves that it is better than traditional design methods.
{"title":"Design method of rolling force sensor based on object orientation","authors":"Junli Wang, Haixiong Wang, Chenan Wang","doi":"10.1145/3305275.3305299","DOIUrl":"https://doi.org/10.1145/3305275.3305299","url":null,"abstract":"The object oriented method is used to design the rolling force sensor, which can be combined with the advantages of object oriented method for targeted and efficient design of the detection object. The steps of sensor design are abstracted as: object analysis, sensor design, measurement circuit design, packaging structure design and so on. This method can be reasonably designed in simulation. In this paper, through the design of rolling force sensor of continuous injection and continuous rolling equipment, it can greatly reduce redundant operation, save design time, rationally and efficiently use resources, and meet the actual demand of rolling force detection, which proves that it is better than traditional design methods.","PeriodicalId":370976,"journal":{"name":"Proceedings of the International Symposium on Big Data and Artificial Intelligence","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125598549","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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