2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)最新文献_第7页

Predicting Presence of Amphibian Species Using Feature Selection 利用特征选择预测两栖动物物种的存在

2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734630

Weiwei Pan

{"title":"Predicting Presence of Amphibian Species Using Feature Selection","authors":"Weiwei Pan","doi":"10.1109/ITOEC53115.2022.9734630","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734630","url":null,"abstract":"The presence of amphibian species can be regarded as the basis of any natural assessment. Generally speaking, the more amphibian species and populations analyzed, the higher the value of the habitat. In the problem of predicting presence of amphibian species, it is very difficult to assess because a large number of habitats are distributed on a vast land and the time available for field investigation is limited. The usual method is to use the local environment variable space that can be collected remotely from the satellite images and GIS systems, and combine it with machine learning method for classification and prediction. The dataset obtained in the experiments can be regarded as an ordinal classification, and some features are ordinal, which has monotonic dependence with the decision. In this paper, we introduce a feature selection algorithm to evaluate the feature space, and select sensitive features. Furthermore, we apply a machine learning algorithm to evaluate the performance of the selected feature subset, and obtain a prediction model. The experimental results show that the proposed method can effectively remove irrelevant features and improve the performance of prediction model.","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":"132102902","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

Analysis of Evaluation Method of Employee Ability and Quality based on Behaviorally Anchored Rating Scale 基于行为锚定量表的员工能力素质评价方法分析

2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734590

Changsheng Yin, Baishun Zuo, Haiqing Huang, Yadong Sang

引用次数: 0

Research on Path Planning of Mobile Robot Based on Improved Ant Colony Algorithm 基于改进蚁群算法的移动机器人路径规划研究

2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734356

Yi Zhang, Dashuai Pang

{"title":"Research on Path Planning of Mobile Robot Based on Improved Ant Colony Algorithm","authors":"Yi Zhang, Dashuai Pang","doi":"10.1109/ITOEC53115.2022.9734356","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734356","url":null,"abstract":"In this paper, we address the problem that in path planning research, the traditional ant colony algorithm suffers from slow convergence and is easily trapped in local optimal solutions. Therefore, this paper proposes an improved ant colony algorithm that can find the optimal path with fewer iterations. The pheromone initial distribution strategy based on the idea of quadrant discrimination is proposed to make the pheromone differentially distributed, thus improving the orientation of the pheromone at the early stage of the algorithm search. The heuristic function is improved by introducing the distance between the next node to the target node and the number of grids that the path passes through to increase the influence of local paths. The pheromone concentration adaptive update strategy is proposed, and the dynamic pheromone volatility factor is introduced to make the pheromone concentration vary in a controlled range. Experiments demonstrate that, under the same environment, the improved algorithm in this paper reduces the path length by 11.80% and 7.15%, and the number of convergence iterations by 55.86% and 38.82%, respectively, compared with the traditional ant colony algorithm and the algorithm in literature [6]. The improved algorithm is significantly better than the other two algorithms in terms of convergence speed and path length, which effectively shortens the optimal path length and the number of iterations of the robot, and has certain feasibility.","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":"130434627","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

Troubleshooting and Maintenance of SDH Optical Transmission System SDH光传输系统的故障排除与维护

2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734655

Lin Ma, Decun Li, Dongliang Nan, Ling He

引用次数: 0

Analysis and design of epidemic disease monitoring cloud platform 传染病监测云平台的分析与设计

2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734659

Jiaqi Wang, Jian Zhang, Kangning Zhou, Xiaojun Sun

引用次数: 1

Research on Precise Control System of Anchor Drilling Rig Feeding Device Based on BP Neural Network Algorithm 基于BP神经网络算法的锚钻机进给装置精密控制系统研究

2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734459

Ning Zhang

{"title":"Research on Precise Control System of Anchor Drilling Rig Feeding Device Based on BP Neural Network Algorithm","authors":"Ning Zhang","doi":"10.1109/ITOEC53115.2022.9734459","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734459","url":null,"abstract":"According to the construction requirements of the surrounding rock support of underground roadway in coal mine, an intelligent anchoring unit is designed and developed. The structure of the feeding device is introduced in detail through the simulation design, and the working principle of precision control system is analyzed. The precision control system is studied through BP neural network algorithm, and the construction steps of each component of the feed device are obtained, According to the roadway construction image information and the drilling construction data, the construction orientation and angle are judged independently without manual intervention. In order to ensure the construction efficiency of the feeding device, the BP neural network algorithm is used to optimize each construction step and obtain the optimal construction step. The overall calculation efficiency is increased by 16.67%. The system can ensure the independent switching of the feeding device, and can independently complete the whole process of drilling construction, anchor agent transportation and anchor bolt installation. The device has wide application range and high operation efficiency, which provides a theoretical basis for the intelligent construction of underground anchor drill in coal mine.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"181 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":"129253403","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

Study on Intelligent Pressure Reducing Valve and Leakage Diagnosis 智能减压阀及其泄漏诊断研究

2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734692

Daquan Hui, He Xu, Zhen Ma, Feng Sun, Jiaqiang Zhou, Yihan Meng

{"title":"Study on Intelligent Pressure Reducing Valve and Leakage Diagnosis","authors":"Daquan Hui, He Xu, Zhen Ma, Feng Sun, Jiaqiang Zhou, Yihan Meng","doi":"10.1109/ITOEC53115.2022.9734692","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734692","url":null,"abstract":"Leaks in distribution systems can lead to loss of water resources. Pressure reducing valve is widely used in water diversion and urban water supply projects, and it is also the key to control leakage. The pressure reducing valve used in the water supply network is self-operated pressure reducing valve with a pilot system. The conventional pressure relief valve can only be changed by manually tightening the regulating thread of the pilot valve. At present, the problem is that the pressure can not be intelligently controlled. Furthermore, the leakage of the water distribution system can not be a timely and accurate perception. Therefore, this work puts forward a new intelligent pressure reducing valve and diagnostic method for leakage. We determine the overall design scheme of hardware and software. The intelligent pressure reducing valve proposed in this paper adopts a new structural design. The valve uses a stepper motor instead of a manual regulating guide valve. Meanwhile, pressure sensors are set in front of the valve and behind the valve to collect data by the deep residual shrinkage network to train the pressure. The leakage can be judged effectively and timely through the trained model. The experimental results show that the accuracy of the trained model over 95%. Furthermore, it can judge the leakage situation of the water distribution system in time. The intelligent pressure reducing valve proposed in this paper has more significant advantages than the traditional pressure reducing valve. The novel valve greatly facilitates the pressure management of the water distribution system and has the possibility of wide application.","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":"122261712","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

Research on Intelligent Health Management Technology of Opto-electronic Equipment 光电设备智能健康管理技术研究

2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734543

Chuming Zhang, Guojun Wei, Mei-lin Xie, Peng Liu, Yu Cao, Xuezheng Lian, Wei Huang, Kai Liu

{"title":"Research on Intelligent Health Management Technology of Opto-electronic Equipment","authors":"Chuming Zhang, Guojun Wei, Mei-lin Xie, Peng Liu, Yu Cao, Xuezheng Lian, Wei Huang, Kai Liu","doi":"10.1109/ITOEC53115.2022.9734543","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734543","url":null,"abstract":"With the development of China's weapon equipments and the continuous progress of information technology, the demand for the mobility, reliability, unmanned and flexible networking ability of opto-electronic measurement equipment is increasing. Breakthrough in the intelligent health management technology of opto-electronic equipment has become a major requirement for unmanned intelligent shooting range construction. Focusing on the opto-electronic measuring equipment in the shooting range, this paper detailed analyzes the development status of health management technology at home and abroad. Then it introduces the health diagnosis and decision-making strategy of opto-electronic equipment. According to a certain type of opto-electronic equipment, three health state early warning models are established and compared: health state early warning model based on statistical analysis, health state early warning model based on machine learning and health state early warning model based on neural network, subsystem simulation is given. Finally, the development direction of intelligent health management technology of opto-electronic equipment is predicted, the next work to be carried out is pointed out.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"15 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114111294","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

Stepped frequency signal property analysis based on Ambiguity function 基于模糊函数的阶跃频率信号特性分析

2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734490

Qinxuan Wang, Xueyao Wei, M. Gao

{"title":"Stepped frequency signal property analysis based on Ambiguity function","authors":"Qinxuan Wang, Xueyao Wei, M. Gao","doi":"10.1109/ITOEC53115.2022.9734490","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734490","url":null,"abstract":"Ambiguity function (AF) is an effective tool for radar signal analysis and waveform design, which is only determined by the transmitting waveform. AF reflects target resolution and clutter suppression ability of radar under the best receiving mode. Among high resolution radar signals, stepped frequency (SF) signal is a kind of reliable and efficient radar signal. Therefore, the research of SF signal has attracted extensive attention in recent years. In order to analyze the property of SF signal in detail, in this paper, we propose a property analysis method of SF signal based on AF to provide important basis for waveform design. Through mathematical modeling and experimental verification, we find the amplitude modulation term which controls the primary performance of SF signal. We also analyze and compare the performance of linear stepped frequency (LSF) signal and random stepped frequency (RSF) signal to find that the performance of AF of RSF signal tends to be better than LSF signal under the same conditions. In addition, we found that when the frequency shift is zero or the time delay is zero, the AF performance of LSF and RSF signals is similar by the formula derivation and experiment.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"65 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":"120934365","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 on Image Matching Algorithm Based on Improved Whale Optimization Algorithm 基于改进鲸鱼优化算法的图像匹配算法研究

2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734378

Hui Chang

引用次数: 0