Recently, the positioning technology has advanced rapidly, however, the outdoor positioning technology with high positioning accuracy can't be applied effectively indoors. Therefore applied to indoor positioning methods such as inertial positioning system has always been a research hot spot. This paper presents an indoor location method integrating inertial data, map information and pedestrian motion state. This method involves collecting the inertial data of pedestrian motion in real-time, calculating the current coordinates of the pedestrian, detecting pedestrian movement state in real-time, and correcting positioning coordinates. Based on the characteristics of indoor key landmarks and the motion state characteristics of pedestrians at key landmarks. Firstly, collecting the motion data of pedestrians by inertial sensors placed on the pedestrian's waist, then extract the features from the data and use the classifier to establish the pedestrian movement state model. Last, utilizing this model to identify the pedestrian motion state, and then infer the key landmark type where the pedestrian is located. Through the simulation demonstrate that this method can make the positioning error always be in a narrower range, fulfill the indoor scenario of low precision inertial sensor positioning requirements, and has the value of application and promotion.
{"title":"An indoor positioning method integrating inertial data, map information and pedestrian motion state","authors":"Jiqiu Cui","doi":"10.1145/3558819.3565106","DOIUrl":"https://doi.org/10.1145/3558819.3565106","url":null,"abstract":"Recently, the positioning technology has advanced rapidly, however, the outdoor positioning technology with high positioning accuracy can't be applied effectively indoors. Therefore applied to indoor positioning methods such as inertial positioning system has always been a research hot spot. This paper presents an indoor location method integrating inertial data, map information and pedestrian motion state. This method involves collecting the inertial data of pedestrian motion in real-time, calculating the current coordinates of the pedestrian, detecting pedestrian movement state in real-time, and correcting positioning coordinates. Based on the characteristics of indoor key landmarks and the motion state characteristics of pedestrians at key landmarks. Firstly, collecting the motion data of pedestrians by inertial sensors placed on the pedestrian's waist, then extract the features from the data and use the classifier to establish the pedestrian movement state model. Last, utilizing this model to identify the pedestrian motion state, and then infer the key landmark type where the pedestrian is located. Through the simulation demonstrate that this method can make the positioning error always be in a narrower range, fulfill the indoor scenario of low precision inertial sensor positioning requirements, and has the value of application and promotion.","PeriodicalId":373484,"journal":{"name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124970984","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}
Accurately predicting the mortality of ICU patients is a tricky problem in modern clinical medicine. Promoting the mortality prediction can effectively improve the ICU utilization and allow patients in need to enter the ICU as soon as possible. Due to the incomplete collection of patient vital signs, the prediction of patient death usually involves a large component of manual intervention. For example, doctors need to pre-classify patient background information and manually judge whether the patient will die In the light of their experience, etc. There is no complete set of vector features that can be used. ICU mortality prediction in ICU still lacks a unified vector for feature selection. This paper used random forest to predict and analysed ICU patient death according to the data set downloaded from Kaggle website which emphasis on the chronic condition of diabetes, through data from MIT's GOSSIS (Global Open-Source Severity of Illness Score) initiative. Our model approaches encouraging performance (Accuracy=0.9241, F1-score=0.96, Recall=0.99, Precision=0.93), and the most important features are selected, the feasibility of unified vector modelling is proved.
{"title":"Study of ICU Mortality Prediction and Analysis based on Random Forest","authors":"Z. Li","doi":"10.1145/3558819.3565171","DOIUrl":"https://doi.org/10.1145/3558819.3565171","url":null,"abstract":"Accurately predicting the mortality of ICU patients is a tricky problem in modern clinical medicine. Promoting the mortality prediction can effectively improve the ICU utilization and allow patients in need to enter the ICU as soon as possible. Due to the incomplete collection of patient vital signs, the prediction of patient death usually involves a large component of manual intervention. For example, doctors need to pre-classify patient background information and manually judge whether the patient will die In the light of their experience, etc. There is no complete set of vector features that can be used. ICU mortality prediction in ICU still lacks a unified vector for feature selection. This paper used random forest to predict and analysed ICU patient death according to the data set downloaded from Kaggle website which emphasis on the chronic condition of diabetes, through data from MIT's GOSSIS (Global Open-Source Severity of Illness Score) initiative. Our model approaches encouraging performance (Accuracy=0.9241, F1-score=0.96, Recall=0.99, Precision=0.93), and the most important features are selected, the feasibility of unified vector modelling is proved.","PeriodicalId":373484,"journal":{"name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116575005","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 order to solve the problems of low user satisfaction and high customer complaint rate in campus logistics service, a campus logistics improvement model based on Fuzzy Kano model and IPA analysis is constructed to determine the improvement weight of campus logistics service quality elements. Through empirical research, users' satisfaction and perceived importance of campus logistics service quality elements are obtained, and the optimal solution is obtained, It verifies the feasibility and effectiveness of the model, and provides practical guidance for improving the elements of campus logistics service quality.
{"title":"Research on campus logistics performance intelligent evaluation based on Fuzzy Kano model and IPA analysis","authors":"Yi Cao","doi":"10.1145/3558819.3565075","DOIUrl":"https://doi.org/10.1145/3558819.3565075","url":null,"abstract":"In order to solve the problems of low user satisfaction and high customer complaint rate in campus logistics service, a campus logistics improvement model based on Fuzzy Kano model and IPA analysis is constructed to determine the improvement weight of campus logistics service quality elements. Through empirical research, users' satisfaction and perceived importance of campus logistics service quality elements are obtained, and the optimal solution is obtained, It verifies the feasibility and effectiveness of the model, and provides practical guidance for improving the elements of campus logistics service quality.","PeriodicalId":373484,"journal":{"name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131409540","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}
A self powered CO2 sensor with energy optimization and intelligent measurement concept based on stm300 radio module is designed and implemented. Based on energy acquisition technology, with solar panel as the power supply core, stm300 module as the control core and gss-cozir CO2 sensor as the acquisition module, the effective power supply and accurate concentration acquisition of CO2 sensor in photovoltaic mode are realized. Aiming at the problem of short service life of sensor power supply, a dynamic power consumption analysis method of balancing power supply by using its working cycle and low-power off mode is proposed, and an automatic calibration method for error under long-term trial is given.
{"title":"Design and implementation of carbon dioxide sensor based on energy acquisition technology","authors":"Ren Chen, Hon-ting. Cheng","doi":"10.1145/3558819.3565173","DOIUrl":"https://doi.org/10.1145/3558819.3565173","url":null,"abstract":"A self powered CO2 sensor with energy optimization and intelligent measurement concept based on stm300 radio module is designed and implemented. Based on energy acquisition technology, with solar panel as the power supply core, stm300 module as the control core and gss-cozir CO2 sensor as the acquisition module, the effective power supply and accurate concentration acquisition of CO2 sensor in photovoltaic mode are realized. Aiming at the problem of short service life of sensor power supply, a dynamic power consumption analysis method of balancing power supply by using its working cycle and low-power off mode is proposed, and an automatic calibration method for error under long-term trial is given.","PeriodicalId":373484,"journal":{"name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134486055","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}
Zhi Xiong, Feng Chen, Hongsheng Zhao, Qiliang Wu, Junqi Wang
In order to meet the requirements of high torque response speed of electric excitation synchronous motor to improve renewable energy consumption, this paper analyzes the essential reason for the improvement of torque response speed of current-coordinated control strategy on electric excitation synchronous motor. The effectiveness of the control strategy is verified by comparing the simulation analysis with the traditional air gap flux orientation vector control strategy.
{"title":"Dynamic Characteristic Analysis of Current-coordinated Control Strategy to Improve Renewable Energy Consumption","authors":"Zhi Xiong, Feng Chen, Hongsheng Zhao, Qiliang Wu, Junqi Wang","doi":"10.1145/3558819.3565112","DOIUrl":"https://doi.org/10.1145/3558819.3565112","url":null,"abstract":"In order to meet the requirements of high torque response speed of electric excitation synchronous motor to improve renewable energy consumption, this paper analyzes the essential reason for the improvement of torque response speed of current-coordinated control strategy on electric excitation synchronous motor. The effectiveness of the control strategy is verified by comparing the simulation analysis with the traditional air gap flux orientation vector control strategy.","PeriodicalId":373484,"journal":{"name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114792175","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}
Affected by repeated discharges, the frequency modulation control deviation and voltage fundamental frequency fluctuate greatly in each area of the power system. For this reason, a power system coordinated control method based on source-grid-load-storage optimization is proposed. The model gives full play to the effect of frequency regulation to excavate the system's operational synergy ability to absorb uncertainty at the decision-making level, and effectively considers the unit's backup response process, so as to clarify for whom the backup is prepared, and to achieve a friendly connection between scheduling and control. The comparative analysis of the simulation results and the results of other solving methods shows that the algorithm can effectively take into account the global convergence and the diversity of Pareto non-inferior scheduling schemes, and has high efficiency and robustness.
{"title":"Research on Intelligent Business Collaboration System of Computer Cloud and Edge Computing","authors":"Wenpan Liu, Lei Wen, Y. Li","doi":"10.1145/3558819.3565224","DOIUrl":"https://doi.org/10.1145/3558819.3565224","url":null,"abstract":"Affected by repeated discharges, the frequency modulation control deviation and voltage fundamental frequency fluctuate greatly in each area of the power system. For this reason, a power system coordinated control method based on source-grid-load-storage optimization is proposed. The model gives full play to the effect of frequency regulation to excavate the system's operational synergy ability to absorb uncertainty at the decision-making level, and effectively considers the unit's backup response process, so as to clarify for whom the backup is prepared, and to achieve a friendly connection between scheduling and control. The comparative analysis of the simulation results and the results of other solving methods shows that the algorithm can effectively take into account the global convergence and the diversity of Pareto non-inferior scheduling schemes, and has high efficiency and robustness.","PeriodicalId":373484,"journal":{"name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117336320","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 the process of battlefield target identification and decision-making, it has the characteristics of real-time change of target parameter data and large amount of data. The previous target value analysis methods have large limitations. Considering the impact of real-time data driving on target value analysis and decision-making, the cloud model is used to target the target. The uncertain and fuzzy information in the real-time data is quantified to generate cloud membership; based on the data envelopment analysis (DEA) method, a relatively optimal efficiency decision-making tool, the value of the battlefield target is carried out. Sorting and decision making. Finally, a numerical example is analysed to verify the applicability and correctness of the model. The calculation example shows that the model can meet the timeliness of hitting targets in wartime, and it provides a practical mathematical tool for analysis of the value of battlefield targets.
{"title":"Battlefield Target Intelligent Value Analysis Based on Real-Time Data","authors":"Jun Lu, Dongliang Yin","doi":"10.1145/3558819.3565184","DOIUrl":"https://doi.org/10.1145/3558819.3565184","url":null,"abstract":"In the process of battlefield target identification and decision-making, it has the characteristics of real-time change of target parameter data and large amount of data. The previous target value analysis methods have large limitations. Considering the impact of real-time data driving on target value analysis and decision-making, the cloud model is used to target the target. The uncertain and fuzzy information in the real-time data is quantified to generate cloud membership; based on the data envelopment analysis (DEA) method, a relatively optimal efficiency decision-making tool, the value of the battlefield target is carried out. Sorting and decision making. Finally, a numerical example is analysed to verify the applicability and correctness of the model. The calculation example shows that the model can meet the timeliness of hitting targets in wartime, and it provides a practical mathematical tool for analysis of the value of battlefield targets.","PeriodicalId":373484,"journal":{"name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116281431","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 increase in car ownership, assisted driving has become the focus of car manufacturers. In the vehicle surround view image, the vehicle auxiliary line can help the driver to accurately understand his own driving trajectory and assist safe driving. The vehicle auxiliary line rendering process designed in this paper not only supports rendering vehicle auxiliary lines in traditional undistorted images, but also supports rendering vehicle auxiliary lines in distorted images. The rendering methods of 3D mode and 2D vehicle auxiliary lines are designed separately, which reduces the CPU usage. The bicycle model is optimized to reduce the computational complexity without affecting the accuracy of the vehicle auxiliary line. Using the table lookup method not only reduces the computational complexity, but also improves the accuracy of vehicle auxiliary lines. Experiments show that this technique can render vehicle auxiliary lines accurately.
{"title":"Design and Optimization of Vehicle Auxiliary Lines in Vehicle Surround View Image","authors":"Yanyan Wang, Gui Hu, Shuyu Liang, Daming Li","doi":"10.1145/3558819.3565089","DOIUrl":"https://doi.org/10.1145/3558819.3565089","url":null,"abstract":"With the increase in car ownership, assisted driving has become the focus of car manufacturers. In the vehicle surround view image, the vehicle auxiliary line can help the driver to accurately understand his own driving trajectory and assist safe driving. The vehicle auxiliary line rendering process designed in this paper not only supports rendering vehicle auxiliary lines in traditional undistorted images, but also supports rendering vehicle auxiliary lines in distorted images. The rendering methods of 3D mode and 2D vehicle auxiliary lines are designed separately, which reduces the CPU usage. The bicycle model is optimized to reduce the computational complexity without affecting the accuracy of the vehicle auxiliary line. Using the table lookup method not only reduces the computational complexity, but also improves the accuracy of vehicle auxiliary lines. Experiments show that this technique can render vehicle auxiliary lines accurately.","PeriodicalId":373484,"journal":{"name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126190897","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}
Jiacheng Wu, Junyi Huang, Qian Yang, Yin-Ying Tang, C. Shi
This paper collected historical data of water resources of provincial administrative units in China, used the grey prediction model to predict the supply and demand of freshwater resources in China from 2020 to 2032 and obtained the final prediction results. Then, this paper calculated the coefficient of variation in water supply, the coefficient of supply and demand, the coefficient of pollution, and other indicators and used the TOPSIS model based on the entropy weight method to determine the proportion of each indicator. The ranking of the water demand degree of each city, water resource pollution degree, and seawater desalination potential are calculated according to the weights. Specific schemes of priority water storage, water protection, and seawater desalination facilities are provided. Finally, based on the model 2 conclusion to determine water city, the provincial administrative units prepare for the node figure, Dijkstra algorithm using MATLAB program, to solve the shortest path, get the four most economical and efficient route, specific route plan for water transport.
{"title":"Research on Intelligent Distribution and Regulation of Water Resources based on Grey Prediction and TOPSIS","authors":"Jiacheng Wu, Junyi Huang, Qian Yang, Yin-Ying Tang, C. Shi","doi":"10.1145/3558819.3565088","DOIUrl":"https://doi.org/10.1145/3558819.3565088","url":null,"abstract":"This paper collected historical data of water resources of provincial administrative units in China, used the grey prediction model to predict the supply and demand of freshwater resources in China from 2020 to 2032 and obtained the final prediction results. Then, this paper calculated the coefficient of variation in water supply, the coefficient of supply and demand, the coefficient of pollution, and other indicators and used the TOPSIS model based on the entropy weight method to determine the proportion of each indicator. The ranking of the water demand degree of each city, water resource pollution degree, and seawater desalination potential are calculated according to the weights. Specific schemes of priority water storage, water protection, and seawater desalination facilities are provided. Finally, based on the model 2 conclusion to determine water city, the provincial administrative units prepare for the node figure, Dijkstra algorithm using MATLAB program, to solve the shortest path, get the four most economical and efficient route, specific route plan for water transport.","PeriodicalId":373484,"journal":{"name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126537715","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}
Shiping Yang, L. xilinx Wang, Zhen Li, Y. Zhang, Chenggong Wang
On the basis of studying the principle of intelligent optimization of power grid corridor, based on the data of restrictive geographic information database, the basic principles of evaluation system are formulated from the aspects of safety, economy and environmental protection. Firstly, the triangular fuzzy analytic hierarchy process (TFAHP) is used to construct the evaluation system model, and the quantitative evaluation index is obtained. Secondly, the initial optimal path of transmission line is determined by cell value calculation. Finally, the best transmission line path is obtained by comprehensive analysis of spatial location information and influencing factors, and the final optimization scheme of transmission line path is realized. The data analysis and model construction of this system provide direct data reference and theoretical model of path optimization for power grid path selection in complex terrain.
{"title":"Intelligent Optimization of Power Grid Corridor based on TFAHP-CA Algorithm","authors":"Shiping Yang, L. xilinx Wang, Zhen Li, Y. Zhang, Chenggong Wang","doi":"10.1145/3558819.3565188","DOIUrl":"https://doi.org/10.1145/3558819.3565188","url":null,"abstract":"On the basis of studying the principle of intelligent optimization of power grid corridor, based on the data of restrictive geographic information database, the basic principles of evaluation system are formulated from the aspects of safety, economy and environmental protection. Firstly, the triangular fuzzy analytic hierarchy process (TFAHP) is used to construct the evaluation system model, and the quantitative evaluation index is obtained. Secondly, the initial optimal path of transmission line is determined by cell value calculation. Finally, the best transmission line path is obtained by comprehensive analysis of spatial location information and influencing factors, and the final optimization scheme of transmission line path is realized. The data analysis and model construction of this system provide direct data reference and theoretical model of path optimization for power grid path selection in complex terrain.","PeriodicalId":373484,"journal":{"name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129702669","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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