{"title":"Intelligent agricultural monitoring system based on lot","authors":"Fugang Li","doi":"10.1109/ITOEC53115.2022.9734462","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734462","url":null,"abstract":"With the gradual attention of the state to agricultural production, as well as the rapid development of artificial intelligence, Internet of things and other science and technology. The deep integration of traditional agricultural production and Internet of things technology has injected new power into new agricultural production and brought a qualitative leap. The intelligent agriculture system proposed in this paper uses high-performance embedded MCU and configures high-precision sensors. Collect data on air environment, soil temperature and humidity, rainfall, diseases and pests, EC, pH. Use 5G network to return the data, save it in the remote server and analyze the data curve. By making an experimental prototype and collecting data analysis, we can predict the water and nutrients needed by plants in different seasons. Then customize the cultivation scheme. The effectiveness and practicability of the method are verified by a large number of experimental data. At the same time, the management platform also provides services including pest prediction, intelligent irrigation, big data prediction, agricultural logistics, online experts and so on. And greatly improve the planting efficiency and crop yield.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132542298","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 Retinal Vessel Segmentation Algorithm Based on Deep Learning","authors":"Shudi Zhang, Pengfei Yu, Haiyan Li, Hongsong Li","doi":"10.1109/ITOEC53115.2022.9734539","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734539","url":null,"abstract":"In order to solve the problems of low precision and large error in the segmentation task of retinal blood vessel by computer, this paper improved the UNet++ network structure and proposed an algorithm model DAUNet++ (Deformable attention UNet++) that can effectively extract retinal blood vessel structure. Firstly, the deformation residual module is designed to construct the encode structure to enhance the feature extraction capability of the network for target details. At the same time, the attention mechanism is used to remove redundant features in the original network decoding module group, and the feature enhancement module is designed to enhance the performance of features. In order to verify the robustness of the optimized network model, DRIVE dataset was used for experimental tests. The test results showed that the accuracy, sensitivity and specificity of the optimized network model reached 97.07%, 83.25% and 98.36%. The experimental results show that the network model designed in this paper has a good performance in retinal vessel segmentation task and has certain competitiveness compared with other existing methods.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134502962","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":"Mobile Phone Interactive Test System for Household Appliances based on Robot Vision","authors":"Junlong Xue, Zhongwen Guo, Wenjie Wang","doi":"10.1109/ITOEC53115.2022.9734445","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734445","url":null,"abstract":"At present, the interactive testing between household appliances and mobile phones is mainly done manually by testers. Most of the test procedures have problems such as high repetition, low work difficulty, and boring process, which greatly reduces the work efficiency of testers. This article uses a six-axis collaborative robot, supplemented by a binocular industrial camera as an image acquisition device, and uses target detection technology to make the robot have intelligent perception capabilities, guide the robot to click and slide operations, instead of manual testing between household appliances and mobile phones. After experimentation, the test efficiency of the method proposed in this paper is equivalent to that of labor, and it can meet the demand of replacing labor, and it has been practically applied in the enterprise.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"93 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134162602","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":"Low-Cost Ultrasonic Multi-function Ranging System Based on Single Chip Microcomputer","authors":"Wenwei Zhou, Daobo Ben, Chengyu Jiang","doi":"10.1109/ITOEC53115.2022.9734336","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734336","url":null,"abstract":"This paper introduces a simple low-cost ultrasonic ranging method controlled by a single chip microcomputer. We use 51 micro controllers and HC-SR04 to achieve distance measurement. We give the hardware device connection scheme, complete the software and hardware design and simulation. The range finder system we designed can accurately show the number. Able to give a beep alarm and LED flash at close range. We can display the measurement distance and threshold distance with a nibble tube or LCD1602. The simple scheme implemented in this paper can be used in large-scale experimental teaching equipment, car reversing radar, vehicle alarm and other scenarios.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134319951","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":"Comprehensive Assessment Method of Short-circuit Current Suppression Scheme","authors":"Mengjiao Li, Sirui Zhu, Shiyao Jiang, Ting Wen, Yuzheng Xie","doi":"10.1109/ITOEC53115.2022.9734571","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734571","url":null,"abstract":"The high interconnection of power systems improves the economic benefit and power supply reliability of power grid operation. However, it also makes the problem of short-circuit current prominent. At present, most short-circuit current suppression schemes are evaluated by engineering experience and complex calculations. There is no reasonable assessment method for short-circuit current suppression schemes. In this paper, the short-circuit current security margin index, power flow transfer ratio index, and power supply ability assessment index are proposed. In addition, the adaptability of the short-circuit current suppression scheme in the future, the investment economy, and the difficulty of power grid construction must be considered. The open-loop suppression scheme of the electromagnetic loop network is comprehensively assessed based on the above factors. The optimal short-circuit current suppression scheme is selected. A practical example is used to verify the effectiveness and adaptability of the proposed assessment method.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131513715","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":"Global trajectory optimization of mobile robot based on Minimum Snap","authors":"Bowen Zhang, Jiayong He, Dongbin Pei","doi":"10.1109/ITOEC53115.2022.9734396","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734396","url":null,"abstract":"Since the path planned by the traditional A * algorithm consists of a series of discrete spatial points and does not contain time and control quantities, it cannot be directly used for trajectory tracking of mobile robots. To address this problem, this paper uses the Minimum Snap method to transform the traditional path planning algorithm and the planned path into a continuous smooth trajectory containing both time, velocity and acceleration information. The trajectory is optimized by introducing the trajectory shape constraint and velocity and acceleration constraint, so as to generate a global trajectory suitable for the path tracking of mobile robots, while the generated trajectory differs too much from the original path shape and the robot motion trajectory is not smooth due to the robot's own physical constraints are not considered. Finally, the effectiveness of the proposed method is verified by simulation experiments, and the method is applied to a robot autonomous navigation system under ROS (Robot Operating System) to confirm the practicality and reliability of the method.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131818650","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 and Design of Automatic License Plate Recognition System Based on Android Platform","authors":"Pengjie Huang, Weiyi Wang","doi":"10.1109/ITOEC53115.2022.9734636","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734636","url":null,"abstract":"In order to facilitate the staff to use the mobile phone to quickly and accurately obtain vehicle information to complete the vehicle inspection, based on the research of digital image processing technology and convolutional neural network theory, an automatic vehicle license plate recognition system which uses the open source computer vision library Opencv and the deep neural network framework Tensorflow based on the Android platform is developed. This system completes the tasks of finding the position of the license plate of the vehicle, segmenting and recognizing the characters of the license plate. Experiment results show that this system has a certain adaptability and a good license plate recognition effect.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132644061","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":"Real-Time Object Detection in UAV Vision based on Neural Processing Units","authors":"Ming Liu, Linbo Tang, Zong-Wei Li","doi":"10.1109/ITOEC53115.2022.9734340","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734340","url":null,"abstract":"With the reduction of Unmanned Aerial Vehicle (UAV) hardware cost and the development of deep learning algorithm, the real-time object detection algorithm applied in UAV vision has great advantages in many fields. However, due to the limited energy consumption and computing power of embedded devices used in the drones and the variable object scales and complex backgrounds in the UAV vision restrict the applications in object detection based on the drones. In this paper, we optimized the generation of anchor boxes, introduced a new module to increase the receptive field to improve the detection of small targets, and used adaptively spatial feature fusion in the feature pyramid to increase feature fusion of multi-scale features. At last we pruned the model to make it lighter and faster, and got the Average Precision (AP) of 89.7% for UAV car aerial images and the speed of 35.7 FPS by running on Neural Processing Units (NPUs), which proves the feasibility of the intelligent object detection algorithm's efficient processing in hardware resource limited environment.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131116049","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":"Patient-Specific Seizure prediction from Scalp EEG Using Vision Transformer","authors":"Xiaoling Zhang, Huiyan Li","doi":"10.1109/ITOEC53115.2022.9734546","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734546","url":null,"abstract":"Epilepsy is a chronic disorder of the central nervous system. Accurate prediction of seizures using the patient's scalp EEG signal is of great importance in clinical practice. This paper proposed a personalized seizure prediction model based on Vision Transformer. First, the raw EEG signal of each patient EEG for CHB-MIT was filtered and the preictal and interictal periods were extracted for labelling. Then, the processed EEG signal was transformed into a two-dimensional spectrograms by means of the short-time Fourier transform(STFT). Finally, the processed two-dimensional spectrograms are fed into the Vision Transformer model to complete the feature extraction and classification prediction of specific epileptic EEG signals. The results showed that epilepsy prediction using Vision Transformer was best the chb21 patient (94.6% accuracy, 98.6% Recall, 89.8% Specificity, 90.5% Precision and an AUC value of 0.989).","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132917185","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":"Calculation and Analysis of Pollution Flashover Voltage of Porcelain Insulator in Transmission Line under Overheavy Pollution Environment","authors":"Xinwei Wang, Hua Yu, Hong Liu","doi":"10.1109/ITOEC53115.2022.9734516","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734516","url":null,"abstract":"Due to the shortage of transmission channels, individual transmission line towers inevitably need to pass through overheavy pollution environmental areas. The so-called overheavy polluted environment means that the SPS (site pollution severity) exceeds level-e. In the overheavy polluted environment, how to configure the insulation of transmission tower is a great test for the design, operation and maintenance of transmission line. Based on the above situation, through the existing test data, this paper predicts and calculates the flashover voltage($U$50%) of various types of disc suspension porcelain insulators; Through calculation, the external insulation configuration schemes under different ESDD (equivalent salt deposit density) are given to solve the pollution flashover problem of transmission lines in overheavy pollution environment.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132099319","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}