2018 IEEE International Conference of Safety Produce Informatization (IICSPI)最新文献_第5页

Novel Gaussian mixture model background subtraction method for detecting moving objects 一种新的高斯混合模型背景减法检测运动目标方法

2018 IEEE International Conference of Safety Produce Informatization (IICSPI) Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690428

Xiaofeng Lu, Caidi Xu

{"title":"Novel Gaussian mixture model background subtraction method for detecting moving objects","authors":"Xiaofeng Lu, Caidi Xu","doi":"10.1109/IICSPI.2018.8690428","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690428","url":null,"abstract":"Moving object detection is the focus of research and application in the field of computer vision. Background subtraction method is one of the most commonly used methods for moving object detection, in which moving objects in image sequences are detected by comparison of the background model with the current frame. In the process of moving object detection, there are many challenges, such as the interference of clutter background, the influence of illumination, noise and shadow. In this paper, a novel Gaussian mixture model background subtraction method based on wavelet blocks is proposed for the challenge of object detection. This method can not only reduce the influence of illumination, noise and shadow, but also adapt to the dynamic change of natural scene. The contribution lies in the following aspects: (1) A Gaussian background modeling method with less running time is proposed in the background modeling stage. The background is reconstructed based on Gaussian mixture model (GMM) of the mean images of image blocks, aiming to simplify the calculations so as to improve the speed of the corresponding operations. (2) In the foreground detection stage, a wavelet-based de-noising method with the semi-soft threshold function is applied to de-noise the object images of the foreground. Experimental results show that the computational complexity is reduced, while the adaptability and performance are improved by using the proposed method. It was more efficient and robust than traditional approaches.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":"1 1","pages":"6-10"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91526482","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}

引用次数: 11

Denoising Processing of Heart Sound Signal Based on Wavelet Transform 基于小波变换的心音信号去噪处理

2018 IEEE International Conference of Safety Produce Informatization (IICSPI) Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690516

Y. Yong

{"title":"Denoising Processing of Heart Sound Signal Based on Wavelet Transform","authors":"Y. Yong","doi":"10.1109/IICSPI.2018.8690516","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690516","url":null,"abstract":"When the heart sounds reach the chest wall surface through mediated tissue, it is prone to generate noise, which can reduce the accuracy of pathological diagnosis. A new denoising method for heart sound signal based on wavelet transform is proposed. First of all, the information signal is transformed by multi-scale wavelet. The wavelet coefficients of each scale indicate a distribution sequence of probability according to the corresponding wavelet entropy threshold to find the maximum entropy of wavelet on certain interval, and the interval is recognized as the leading range of noise. And then, a fixed threshold denoising method is used to adaptively enhance the judgment about absolute value with larger attenuation wavelet coefficients, which can reduce the high frequency sound signal loss and improve the heart sound signal to noise ratio. The denoising simulation experiment is carried out to test the performance. The result shows that the proposed method can improve the output signal to noise ratio of heart sound signal, reducing the influence of noise on the extraction of heart sound signal, and therefore, the noise elimination algorithm has stronger anti-interference ability and superior performance.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":"20 1","pages":"251-255"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90535078","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}

引用次数: 3

Application of Power Grid Communication Operation and Maintenance Knowledge Base Based on Self-learning Technology 基于自学习技术的电网通信运维知识库的应用

2018 IEEE International Conference of Safety Produce Informatization (IICSPI) Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690519

Huang Youjun, Wu Haiyang, Yu Ran, Li Chao

引用次数: 0

Designing and Optimizing of Sigma-Delta Modulator Using PSO Algorithm 基于粒子群算法的Sigma-Delta调制器设计与优化

2018 IEEE International Conference of Safety Produce Informatization (IICSPI) Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690356

L. Li, Ge Chen

引用次数: 1

Hidden Wi-Fi Auto-connecting System Based on Android ROM-Level 基于Android rom级的隐藏Wi-Fi自动连接系统

2018 IEEE International Conference of Safety Produce Informatization (IICSPI) Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690518

Fu Zou, Chuanchang Liu, Zhiyuan Su

引用次数: 0

An Improved LSTM Structure for Natural Language Processing 用于自然语言处理的改进LSTM结构

2018 IEEE International Conference of Safety Produce Informatization (IICSPI) Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690387

Lirong Yao, Yazhuo Guan

引用次数: 30

Multi-function Morning Wake-up System 多功能早晨唤醒系统

2018 IEEE International Conference of Safety Produce Informatization (IICSPI) Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690495

Junhui Lai, Guorong Chen

{"title":"Multi-function Morning Wake-up System","authors":"Junhui Lai, Guorong Chen","doi":"10.1109/IICSPI.2018.8690495","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690495","url":null,"abstract":"With the rapid development of China’s economy, innovation and interconnection of all things are widely mentioned, and family intelligence has begun to develop. However, due to the high cost, the promotion of family intelligence is limited. Considering the single function of traditional alarm clock and the depressed market, this paper proposes to design a multi-function early morning wake-up system, which can make the alarm clock multi-functional and low-cost. In this way, ordinary families can experience intelligent products, which is conducive to the promotion of family intelligence. The multi-function wake-up system sets the wake-up time through the mobile phone APP, thus triggering the alarm clock of the lower Computer to open and the pressure sensor to collect the pressure value. When the pressure is kept within a certain range for a period of time, the alarm clock can be switched off. At the same time, it can also remotely control the opening and closing of curtains, the opening and closing of lights and so on, which is more convenient for people’s life, but also increases the family “intelligence”. The system is divided into software module and hardware module. The hardware module mainly includes pressure sensor module, stepper motor module and WiFi module, with STM32 development board to control each hardware module; the software module is based on the Android platform development of mobile APP, and users can login through the mobile APP, connect to the server, send instructions to the lower Computer, set the wake-up time, etc. The terminal code is written in C language, compiled on Keil uVision platform, and the mobile terminal is compiled on Eclipse platform in Java language. The system test meets the requirements of the system, which is scientific and feasible.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":"1 1","pages":"108-112"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90752573","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}

引用次数: 0

Econometric Modelling for Missing Weather Variables Estimation: Shinyanga Region of Tanzania 缺失天气变量估计的计量经济模型:坦桑尼亚Shinyanga地区

2018 IEEE International Conference of Safety Produce Informatization (IICSPI) Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690361

Kulyakwave P.D, Shiwei Xu, Wen Yu

{"title":"Econometric Modelling for Missing Weather Variables Estimation: Shinyanga Region of Tanzania","authors":"Kulyakwave P.D, Shiwei Xu, Wen Yu","doi":"10.1109/IICSPI.2018.8690361","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690361","url":null,"abstract":"This study was conducted to develop econometric models for weather variables for Shinyanga region of Tanzania. The developed models used to predict missing weather variables such as sunshine, maximum, and minimum temperatures from 1981 to 1987. The authors used weather time series data including rainfall, sunshine, maximum, and minimum temperatures from 1981 to 2017 to establish statistical relationship among variables from Mbeya and Shinyanga regions. Various statistical methods used include Ordinary Least Square regression, Augmented Dickey-Fuller test for Unit root test of time series stationarity, Johansen Cointegration test and error correction to establish relationship among variables. We developed three econometric models for missing sunshine, maximum and minimum variables for Shinyanga region. Sunshine model shows that for each unit rainfall (mm) increase in Mbeya region increased the sunshine for Shinyanga by 3.8%, while for each increase in lmm rainfall in Shinyanga region the sunshine decreases by 1%. Maximum temperature model reveals that increase in rainfall in Mbeya by lmm decreases the maximum temperature by 0.5 % while for each increase by lmm rainfall in Shinyanga leads to a decrease of maximum temperature by 0.7%. For the minimum temperature model, 1 mm increase in both Mbeya and Shinyanga rainfall decreases the minimum temperature for Shinyanga by 0.4 % while increase in 1°C minimum temperature for Mbeya region increases Shinyanga minimum temperature by 43%. Accordingly, we estimated the missing variables by the use of the respective constructed models.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":"1 1","pages":"411-415"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85917089","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}

引用次数: 0

Dynamic Weighting Multi Factor Stock Selection Strategy Based on XGboost Machine Learning Algorithm 基于XGboost机器学习算法的动态加权多因素选股策略

2018 IEEE International Conference of Safety Produce Informatization (IICSPI) Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690416

Liao Jidong, Zhang Ran

引用次数: 29

Application of Model -Free Adaptive Control in Managed Pressure Drilling 无模型自适应控制在控压钻井中的应用

2018 IEEE International Conference of Safety Produce Informatization (IICSPI) Pub Date : 2018-12-01 DOI: 10.1109/IICSPI.2018.8690445

Song Luqing, Hu Wenjin, Liu Kaishu, W. Xiaogang, Song Lepeng

{"title":"Application of Model -Free Adaptive Control in Managed Pressure Drilling","authors":"Song Luqing, Hu Wenjin, Liu Kaishu, W. Xiaogang, Song Lepeng","doi":"10.1109/IICSPI.2018.8690445","DOIUrl":"https://doi.org/10.1109/IICSPI.2018.8690445","url":null,"abstract":"Aiming at the characteristics of large lag, strong interference, nonlinearity and difficult pressure control in pressure controlled drilling, this paper designs an automatic control system for pressure controlled drilling without model adaptive control. The automatic control system consists of signal input device, pressure controlled drilling electronic control unit, actuator and other devices. In order to improve the speed and stability of pressure control in pressure drilling, a model-free adaptive control scheme is proposed. The control scheme only needs on-line I/O data of the controlled system to complete the design of the controller, which has strong resistance to nonlinearity and is suitable for more complicated control projects. The system is modeled and simulated in MATLAB. The experimental results show that compared with cascade PID control, the pressure regulating time of the automatic control system of pressure controlled drilling using model-free adaptive control scheme is shorter and the pressure change curve is smoother, which can better meet the control requirements of the automatic control system of pressure controlled drilling.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":"52 1","pages":"102-107"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84486150","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}

引用次数: 2