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2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)最新文献

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Design of an Autonomous Navigation Intelligent Spraying Robot 自主导航智能喷涂机器人的设计
2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734382
Xuelei Wang, Shang Wang, Jie Huang, Shixia Lv, Xian Li
{"title":"Design of an Autonomous Navigation Intelligent Spraying Robot","authors":"Xuelei Wang, Shang Wang, Jie Huang, Shixia Lv, Xian Li","doi":"10.1109/ITOEC53115.2022.9734382","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734382","url":null,"abstract":"In the future, agriculture will become more and more intelligent, and the application of agricultural robots will become more and more extensive. Nowadays, there are more and more indoor plantings, and the indoor environment is closed, which is more complicated than outdoor. In this environment, manual application of pesticide is generally used, which can easily lead to poisoning and pesticide residues of the pesticide applicators. The autonomous navigation intelligent spraying robot designed in this paper integrates artificial intelligence into agriculture, which uses the visual servo system to make the robot find its way automatically. The spraying robot identifies the plant position information and spray on the target, thus reducing the harm of pesticides to the pesticide applicators and greatly reducing the labor cost and increasing the work efficiency.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"23 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":"123941626","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: 1
Pre-training with Phonetics and glyphs for Chinese Spelling Correction 语音与字形的汉语拼写校正预训练
2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734606
Yang Tao, Jian Zhang, Ziyue Niu
{"title":"Pre-training with Phonetics and glyphs for Chinese Spelling Correction","authors":"Yang Tao, Jian Zhang, Ziyue Niu","doi":"10.1109/ITOEC53115.2022.9734606","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734606","url":null,"abstract":"Spelling error correction is a challenging task. Extensive approaches nowadays either use rule-based statistics and language models or sequence-to-sequence deep learning methods. In this paper, we propose a new end-to-end CSC model that uses powerful pre-training and fine-tuning methods to integrate phonetic features, stroke features into the language model. The selected tokens are masked according to the confusion set using similar characters, instead of using a fixed token mask as in BERT [10]. in addition to the prediction of the characters themselves, this paper introduces phonetic prediction to learn knowledge of spelling errors at the phonetic level. In addition to this, we add a probability weight in order to balance error detection and error correction throughout the framework. experimental results show that the model achieves a significant improvement over the SIGHAN dataset and outperforms previous state-of-the-art methods.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"49 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":"124203945","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
A New Fusion Model for Precipitation Prediction 一种新的降水预报融合模型
2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734529
Siqi Han, Xinye Qiu, H. Qi, Yuqi Ning
{"title":"A New Fusion Model for Precipitation Prediction","authors":"Siqi Han, Xinye Qiu, H. Qi, Yuqi Ning","doi":"10.1109/ITOEC53115.2022.9734529","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734529","url":null,"abstract":"In this paper, a new fusion model is established based on the regression (ARIMA) model and BP (Back Propagation) neural network prediction model, which is used to predict the precipitation in Henan Province. In the Henan Statistical Yearbook, the precipitation in Henan can be obtained for nearly 20 years. Firstly, the differential integrated mobile mean auto regression (ARIMA) model is used to fit the future data according to the relationship between the precipitation and the time series. Secondly, BP (back propagation) neural network prediction model is used to establish a linear relationship between dependent and independent variables. These two models have both their own disadvantages, so we can combine the two models together to get a new fusion model. The precipitation of Henan province in the next 8 years can be well predicted by using the new fusion model.","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":"126232890","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
Detection Efficiency Evaluation of Mobile Radar based on Fuzzy Comprehensive Evaluation 基于模糊综合评价的移动雷达探测效率评价
2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734448
Wensi He, Hongquan Li, Weike Shi, Chenhao Zhang, Bingdi Xue
{"title":"Detection Efficiency Evaluation of Mobile Radar based on Fuzzy Comprehensive Evaluation","authors":"Wensi He, Hongquan Li, Weike Shi, Chenhao Zhang, Bingdi Xue","doi":"10.1109/ITOEC53115.2022.9734448","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734448","url":null,"abstract":"Aiming at the problem of multiple factors affecting the detection capability of mobile radar, this paper puts forward the detection effectiveness evaluation method of mobile radar based on fuzzy comprehensive evaluation, establishes the three-level evaluation index system of mobile radar detection capability comprehensively, and evaluates the detection capability of mobile radar scientifically by using the theory of fuzzy mathematics. The evaluation method of detection efficiency of fixed radar is applied flexibly to mobile radar, and the factors affecting detection ability of mobile radar are analyzed comprehensively, which solves the lodo target decision problem by combining the advantages of qualitative and quantitative analysis. The experimental results show that the method is simple and feasible, which provides a reliable decision-making basis for the deployment and application of mobile radar.","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":"130032539","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
Detection of Weak Ship Radiation Characteristic Signal based on Wavelet and Chaos Array 基于小波和混沌阵列的舰船弱辐射特征信号检测
2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734681
C. Peng, Yue Song, Lei Yang
{"title":"Detection of Weak Ship Radiation Characteristic Signal based on Wavelet and Chaos Array","authors":"C. Peng, Yue Song, Lei Yang","doi":"10.1109/ITOEC53115.2022.9734681","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734681","url":null,"abstract":"The ship radiated noise not only has the chaotic characteristic, but also the characteristic signal in the radiated noise is often covered by the complex marine environment noise. This makes the performance of many algorithms greatly reduced in the actual target recognition. This makes the performance of many algorithms greatly reduced in the actual target recognition. In this paper, a new detection method based on wavelet transform and chaos theory is proposed, the existence, frequency and phase of weak signal are detected by wavelet chaotic oscillator array. Firstly, a threshold selection algorithm based on wavelet packet decomposition coefficients and unbiased estimation is proposed to automatically determine the decomposition level and denoising threshold of wavelet. This method can overcome the blindness and irrationality of decomposition and threshold selection in wavelet denoising. Then, the judgment basis based on the Melnikov function and the zero-crossing detection method is proposed, which not only avoids the ambiguity between the chaotic critical state and the large-scale periodic state in the chaotic system, but also successfully detects the frequency and phase of the signal to be measured under the condition of low signal-to-noise ratio. Finally, the correlation algorithm is applied to the sea survey experiment. The experimental results show the correctness and effectiveness of the algorithm. Finally, the algorithm is used to detect the radiation noise of the actual ship, and the line spectrum component in the noise is successfully detected. This provides new theories and methods for the subsequent detection and target recognition of ships and underwater targets.","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":"130183601","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: 1
A Path Planning Algorithm Based on Improved RRT 一种基于改进RRT的路径规划算法
2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734443
Xiangyu Zhou, Xuedong Luo, Yi Zhang
{"title":"A Path Planning Algorithm Based on Improved RRT","authors":"Xiangyu Zhou, Xuedong Luo, Yi Zhang","doi":"10.1109/ITOEC53115.2022.9734443","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734443","url":null,"abstract":"To address the problems of long search time and non-optimal generated paths when the original fast expanding random tree (RRT) algorithm is used for path planning, this paper proposes an improved RRT algorithm based on greedy strategy combined with adaptive sampling area and node approaching to obstacles. Firstly, the greedy idea is introduced on the basis of the original RRT algorithm to improve the node expansion strategy; secondly, the sampling area is limited by introducing the adaptive sampling factor to optimize the search time and improve the efficiency; finally, the path length is further optimized by removing the redundant nodes of the path and using the optimization algorithm to make the nodes approach the obstacles. The simulation results show that the improved algorithm can solve a better path with fewer expansions and faster convergence speed for different complexity scenarios.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"34 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":"130251177","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
Sheep Identification with Distance Balance in Two Stages Deep Learning 基于距离平衡的两阶段深度学习绵羊识别
2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734383
Xianglei Meng, Pin Tao, Liang Han, DuoJie CaiRang
{"title":"Sheep Identification with Distance Balance in Two Stages Deep Learning","authors":"Xianglei Meng, Pin Tao, Liang Han, DuoJie CaiRang","doi":"10.1109/ITOEC53115.2022.9734383","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734383","url":null,"abstract":"Sheep identification plays an important role in precision sheep breeding. In this paper, we propose an identification method based on computer vision and deep learning. The whole procedure is divided into two conjunction stages. Sheep face detection stage searches the candidate area in the image firstly. We adopt YOLO framework and optimize it with an overlap-free model. A comparative study is analyzed on various backbone networkse.g., EfficentNet, ResNet, etc. The second stage extracts the feature vector of the candidate sheep face area into a 2048 vector. The distance balance policy is used to maximize the distance of different sheep faces and to minimize that of the same ones. We also introduce a dataset of 547 sheep containing over 5000 images that are suitable for sheep identification task. All images are annotated with the bounding box to mark the position and size of the sheep face, and tag with the ID number as the identity of the sheep. Experiments on this dataset show that our proposed method can achieve the sheep identification accuracy in 85%, and the EfficientNet as the backbone can overwhelm the other networks. For an original image, it can detect the sheep face in 0.024s, and get the recognition result in 0.16s. Compared with the traditional RFID and ear-tag technology, the fast speed and high accuracy of sheep face identification show the great potential of using it in husbandry in the near future.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"5 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":"130930967","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: 5
A Hierarchical Compensation Method for Near Space Target Detection 一种近空间目标检测的分层补偿方法
2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734569
Kaina Zhang, Junzhou Zhang, Shan Wu, Chenqiang Zhao, Ge Yang
{"title":"A Hierarchical Compensation Method for Near Space Target Detection","authors":"Kaina Zhang, Junzhou Zhang, Shan Wu, Chenqiang Zhao, Ge Yang","doi":"10.1109/ITOEC53115.2022.9734569","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734569","url":null,"abstract":"Near space targets have the characteristics of high velocity and high acceleration. High velocity will lead to the velocity ambiguity and range migration (RM). High acceleration will lead to the Doppler frequency migration (DFM) and RM. When the velocity ambiguity number changes many times during coherent integration, the coherent integration gain decreases. In this paper, we propose a hierarchical compensation method. The hierarchical compensation method compensates for the velocity ambiguity number with multiple variations through two-stage ambiguity velocity compensation and frequency domain compensation. Then, the second-order Keystone transform (SKT) compensates for RM and the fractional Fourier transform (FRFT) compensates for DFM. Finally, the simulation experiments prove that the proposed method is effective.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"33 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":"130070174","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
Research and Design of Cloud-Based Smart Legal Service Platform 基于云的智能法律服务平台的研究与设计
2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734454
Kang ning Zhou, J. Zhang, Jiaqi Wang
{"title":"Research and Design of Cloud-Based Smart Legal Service Platform","authors":"Kang ning Zhou, J. Zhang, Jiaqi Wang","doi":"10.1109/ITOEC53115.2022.9734454","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734454","url":null,"abstract":"At present, there are approximately 44,000 law firms and some legal aid agencies in China. However, the distribution of legal resources is not balanced. Legal organizations are mostly concentrated in economically developed areas. However, the lack of legal organizations in economically backward cities has a low quality, and it is difficult to meet people's legal needs. To solve this problem, develop a collaborative, open, shared, multi-organization, multi-tenant smart legal service cloud platform, connect remote legal organizations to the platform, sort and analyze legal organization data, and build a legal organization profile and legal organization The recommendation model provides services for people seeking legal help to push legal organizations, and transforms legal organization entities and legal services into digital legal organizations and legal services, thereby connecting legal organizations in different places and people seeking legal help, and solving the backward economic development Areas where people find legal help with difficult problems.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"8 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":"125646097","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
A Miniaturized Dual-Band Stacked Structure Antenna Design 一种小型化双频堆叠结构天线设计
2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734346
Liang Chen, Huizhu Zhu, Guangchi Xie, Peng Yang
{"title":"A Miniaturized Dual-Band Stacked Structure Antenna Design","authors":"Liang Chen, Huizhu Zhu, Guangchi Xie, Peng Yang","doi":"10.1109/ITOEC53115.2022.9734346","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734346","url":null,"abstract":"This letter describes the construction of a dual circularly polarized satellite navigation microstrip antenna that operates in the B2b and L bands of BDS. The unit is a double-fed double-layer laminated structure, with miniaturization achieved through high dielectric constant and thick dielectric thickness; the isolation between the ports is improved by fitting a ring of metal holes surrounding the probes leading to the top patch; impedance matching is accomplished through the inclusion of a C-shaped slot loaded in the top patch. The simulation results show the isolation between the ports is ${S_{21},<, - 26dB}$ (1.196~1.217GHz) and ${S_{21},<, - 20.2dB}$ (1.611~1.627GHz); At 1.207 and 1.62GHz, RHCP gain of 5.12 dB and LHCP gain of 5.92 dB are also observed.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"36 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":"127701136","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
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