{"title":"A Power Supply System for Electric Bicycles Taillights Similar to Uninterruptible Power Supply Based on Thermoelectric Power Generation","authors":"Chenchen Liu, Yifan Chen, Hao Wang, Jiaxuan. Luo, Guohao Chen, Pengfei Gao","doi":"10.1109/ICSP51882.2021.9409017","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9409017","url":null,"abstract":"The redundant equalization system of lithium battery pack is generally implemented based on metal-oxide-semiconductor field-effect transistors (MOSFET). During the working process, the temperature of the MOSFET will be very high, resulting in energy waste. In order to reduce the waste, this paper proposes a power supply system for electric bicycles taillights similar to uninterruptible power supply based on thermoelectric power generation. Using thermoelectric power generation technology and referring to the design concept of uninterruptible power supply system, the power supply system called SUPS is designed. It is based on LTC3108 and STM32F407 chips. The experimental results show that SUPS can ensure the normal use of taillights and effectively use the MOSFET heating energy. The design idea of SUPS can also be used in other occasions with temperature difference energy but no suitable load to directly use it. It has reference value for the design of the system in similar scenarios.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127438255","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}
Zixu Tong, Yuxin Kang, Han Ying, Chen He, Lei Cui, Jin Qi
{"title":"A Novel Framework for Lymphatic Invasion Detection Based on Efficient Medical Images Translation Network","authors":"Zixu Tong, Yuxin Kang, Han Ying, Chen He, Lei Cui, Jin Qi","doi":"10.1109/ICSP51882.2021.9408674","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408674","url":null,"abstract":"Nowadays, cancer is increasingly affecting human health. Lymphatic Invasion (LI) is a form of lymphatic metastasis, which is essential in clinical diagnosis. To improve the accuracy and efficiency of LI's pathological diagnosis, we intend to utilize artificial intelligence technology such as image to image translation based on the generative and adversarial network to realize LI's intelligent quantitative detection. This paper proposed a novel framework for LI detection which can be used as an auxiliary measure for pathologists.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114914307","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":"Deep learning based vehicle violation detection system","authors":"Rui Xu, Yidong Chen, Xiaoqiang Chen, Si Chen","doi":"10.1109/ICSP51882.2021.9408935","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408935","url":null,"abstract":"Due to the limited road resources and the ever-increasing number of vehicles and persons, more frequent traffic violations and higher management costs have resulted. It is crucial to propose a more intelligent and less cost scheme to solve the traffic management problem. In this paper, we design and implement a vehicle violation detection system based on deep learning, which includes the detection, tracking and recognition of vehicles. On this basis, the detection and real-time alarm of common violations, such as red light running and impolite pedestrian, are also supported. Compared with the traditional detection and monitoring based on physical equipment, our system is completely based on computer vision, where the cutting-edge achievements of deep learning have been improved and applied. The system is not only more intelligent, but also can reduce the cost to a greater extent. Experiments illustrate that the system can meet the needs of the intelligent management of urban traffic through real-time monitoring and data analysis of the traffic scenes.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114926272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on Fiber Bragg Grating Dual-parameter Sensing Technology","authors":"Juan Wang, Zhentao Zhang","doi":"10.1109/ICSP51882.2021.9408704","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408704","url":null,"abstract":"The external environment where the FBG sensing system is located may have changes in strain and temperature, concentration and other physical quantities. Aiming at the dual-parameter monitoring of temperature and strain in the application of fiber Bragg grating (FBG) dual-parameter measurement, the dual-wavelength matrix operation method is adopted to analysis and study the problem theoretically. By using the dual wavelength matrix algorithm, the error analysis of the established FBG equation is carried out, and the relative error curves of temperature and strain under cross sensitivity are obtained. When the FBG sensing system is used for measurement, it is necessary to fully consider the impact of cross-sensitivity on measurement. When the temperature and strain gradually increase to a certain range, the error caused by the cross sensitive term will be greater. The application of FBG sensing system can be improved and enhanced by optimizing the dual-wavelength matrix operation method.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133988783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on Parameter Detection of Track Detection Car of Modern Trams Based on Strap-down Inertial Measurement","authors":"Zhichao He, Chen Li","doi":"10.1109/ICSP51882.2021.9408719","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408719","url":null,"abstract":"In recent years, modern trams have developed rapidly, and their track detection technology has become increasingly mature. For track detection cars, accurately acquiring the attitude angle, speed and position mileage of the car in real time is the prerequisite for detecting other geometric parameters. However, for tram market in China, which started late, there is no efficient detection method at present. Therefore, this paper proposes a strap-down inertial measurement system suitable for track detection vehicles, which collects linear accelerated velocity and angular velocity data through accelerometer and gyroscope to obtain the attitude angle, speed, position and mileage of the track cars efficiently and accurately in real time. Experiments have verified that the system has high accuracy and good stability, which provides a guarantee for the geometric parameter detection of modern trams.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122192640","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":"Predicting potential customers of 5G services via ADTree","authors":"Li Yi","doi":"10.1109/ICSP51882.2021.9408698","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408698","url":null,"abstract":"Using customer history data and data mining methods to discover potential customers of new business has become an important means of precise marketing for telecommunication operators. In this paper, we use ADTree for potential 5G customers prediction. Firstly, the training data is preprocessed, including data cleaning, discretization and data transformation. Secondly, in order to improve the modeling speed and classifier performance, the information gain method is used to select attributes. Thirdly, ADTree is used to model the training data, and the accuracy rate of the model and AUC value are evaluated by 10 fold cross validation. Finally, this model is used to classify the test data, and general guidance rules are given. Experiments show that the prediction accuracy and AUC value of ADTree method are superior to other classification methods.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127177483","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":"Design and implementation of embedded design-based PCP water injection system","authors":"Huan Liu, Feng Liu","doi":"10.1109/ICSP51882.2021.9408787","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408787","url":null,"abstract":"PCP, the pump-controlled pumping technology, can improve the efficiency of water injection system and reduce energy consumption. The PCP water injection system, which is compact in size due to embedded design, consists of a lower machine with PLC and an upper computer with configuration software installed. The lower machine collects and processes the signals from the sensors, and then uploads them to the upper computer, while the MCGS configuration software in the upper computer mainly monitors, displays and stores the on-site parameters of water injection equipment and production parameters, whose main task is to automatically adjust the operating parameters of the small pump according to the parameters to ensure the optimal operation of the system. The field data shows that this system can automatically make the injection pump work in the best efficiency section, reducing the labor intensity of staff and improving the efficiency of water injection, compared with the previous one.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130331823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on Magnetic Anomaly Data Processing Based on Wavelet Threshold and EEMD","authors":"Liang Shuang, Wu Dan, Ren Xiu Yan, Xu Kun","doi":"10.1109/ICSP51882.2021.9408821","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408821","url":null,"abstract":"Magnetic field signal can spread stably in different media, which has outstanding advantages in magnetic target detection. However, the magnetic anomaly signal caused by magnetic target are easy to be interfered by the background magnetic field, it is difficult to distinguish magnetic anomalies from the signal, so it is necessary to process the magnetic anomaly data before identification. In this paper, the problem of low signal-to-noise ratio (SNR) of magnetic anomaly signal is discussed and ensemble empirical mode decomposition (EEMD) and wavelet decomposition (WT) are used to process the simulated magnetic anomaly signal. Firstly, EEMD is used to process the simulated magnetic anomaly signal. Then the decomposed high-order IMF components are denoised by wavelet threshold denoising. The results show that compared with using wavelet threshold or EEMD to simulated signal alone, this hybrid method can get data which is more stable and have a taller SNR.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116937255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on the Submergence Depth Model of Oil Well Pumping","authors":"Tianshi Liu, Yun Zhao, Yuhu Huang","doi":"10.1109/ICSP51882.2021.9408738","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9408738","url":null,"abstract":"After a long period of continuous exploitation, most of oil fields in China have been in a low-permeability or ultra-low-permeability state. In order to grasp the liquid level state of oil wells in real time, the submergence depth model of oil well pumping is constructed by using the law of dynamic liquid level change during the pumping process and the working mode of oil pump. On this basis, according to the relative stability of the parameters, the stroke pumping oil model is transformed into a continuously pumping model with time as a variable. The submergence depth model of pumping oil can be divided into two types according to oil well state, namely the submergence depth model of pumping oil in full pumping state and the submergence depth model of pumping oil in non-full pumping state. The model is applicable to the pumping process of ultra-low permeability oil fields, as well as to the liquid pumping process of straight container. Combined with pumping speed and continuous pumping model, the submergence degree of oil well can be obtained in real time which provides an effective application method to implement reasonable exploitation of the oil field.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"41 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131234904","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":"Single Color Image Dehazing Based on Variational Model","authors":"Shengnan Zhao, Hao Yang, Yonghao Zhao","doi":"10.1109/ICSP51882.2021.9409020","DOIUrl":"https://doi.org/10.1109/ICSP51882.2021.9409020","url":null,"abstract":"Combining variational approach with the atmospheric attenuation model, two single color image dehazing algorithms on the basis of dark channel prior and MTV model are proposed which are called H-MTV model and NL-H-MTV model. Then, we use Dual Bregman algorithm to calculate the H-MTV model and Split Bregman algorithm to calculate the NL-H-MTV model. We conducted three experiments to adjust the parameters. Finally, comparing the proposed models with He algorithm and Kimmel Retinex algorithm. Experimental results show that the proposed methods can remove fog while keeping texture features effectively.","PeriodicalId":117159,"journal":{"name":"2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131514623","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}