2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)最新文献_第8页

Fracture location based on transfer learning 基于迁移学习的骨折定位

2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734651

Liu Yuansheng, Wei Yi, Zhou Yu, Wang Jimin, Sun Ao

引用次数: 0

General style transfer model of wavelet network combined with self-attention mechanism 结合自注意机制的小波网络一般风格迁移模型

2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734489

Mingqiang Yan, Pengfei Yu, Haiyan Li, Hongsong Li

{"title":"General style transfer model of wavelet network combined with self-attention mechanism","authors":"Mingqiang Yan, Pengfei Yu, Haiyan Li, Hongsong Li","doi":"10.1109/ITOEC53115.2022.9734489","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734489","url":null,"abstract":"Artistic style transfer refers to using two images (content image and style image) as a reference, preserving the content of the content image as much as possible and transferring the style characteristics of the style image to content image. Existing methods usually use various normalization techniques, but these techniques have limitations in completely transferring different textures to different spatial locations. The method based on self-attention has solved this problem and made some progress, but there are also unobvious image textures, resulting in unnecessary artifacts. There are also attempts to add a mask to fix the image layout for style transfer, but it is difficult to produce a coordinated result at the mask boundary. Someone tried to embed the wavelet network in the VGG network to obtain more detailed stylized images, and indeed achieved more visually pleasing results. To solve these problems, this paper attempts to combine the advantages of wavelet transform, self-attention mechanism, whitening and coloring transform WCT (Whiten-Color Transform) in image feature extraction, and propose a new general style transfer method to better weigh the semantic information and style characteristics of content images and style images. Moreover, this paper use the self-attention mechanism to obtain the high-level semantic information of the image to make up for the missing details of the reconstructed image. Compared with the previous methods, the proposed method does not need to train for a certain feature map, and any style map can be used to transfer the style of the content map. Experimental results show that the model has good effects in terms of style transfer and artifact removal, and also prove that the method has good versatility.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"203 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":"122662585","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 iOS Remote Security Access Technology Based on Zero Trust 基于零信任的iOS远程安全访问技术研究

2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734455

Wengao Fang, Xiaojuan Guan

引用次数: 3

Heuristic RRT fusion A* for 3D path planning of UAV 启发式RRT融合A*用于无人机三维路径规划

2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734628

Qiang Fu, Xinghui Lan, Yuanfa Ji, Xiyan Sun, Fenghua Ren

引用次数: 1

Model Predictive Control-based Mission Planning Method for Moving Target Tracking by Multiple Observing Satellites 基于模型预测控制的多观测卫星运动目标跟踪任务规划方法

2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734412

Zhong Shi, Fan Zhao, Xin Wang, Zhonghe Jin

引用次数: 2

Research on Bolt Visual Recognition of High Voltage Transmission Line Shockproof Hammer Resetting Robot 高压输电线路防震锤复位机器人螺栓视觉识别研究

2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734637

Yanmei Liu, Shiqiang Dong, Zhen Chen, Di Lv, Bo Yu

引用次数: 0

ECT Image Reconstruction based on Improved Sensitivity Field 基于改进灵敏度场的ECT图像重构

2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734402

Fang Hou, M. Song, Siyi Liu

{"title":"ECT Image Reconstruction based on Improved Sensitivity Field","authors":"Fang Hou, M. Song, Siyi Liu","doi":"10.1109/ITOEC53115.2022.9734402","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734402","url":null,"abstract":"In the actual industrial production process, we often encounter two or more kinds of objects mixed flow conditions, this phenomenon is generally known as multiphase flow in academia and industry. Process Tomography (PT) is an important technique for Process detection in two-phase flow. Electrical Capacitance Tomography (ECT) is a kind of process Tomography technology. It has the advantages of non-invasive, low cost, simple structure, etc. It can be applied as long as the dielectric constant of each phase is different between the media. Its principle is to use a set of sensors installed on the device under test array electrodes, formed from different angles analyte scanning space of sensitive field, according to the measured object in the different medium has different dielectric constant of the properties, and the implementation of the distribution of the field of incomplete information extraction, using the appropriate image reconstruction algorithm, each phase of analyte pipe field distribution in the form of a visual image. This paper mainly improves the quality of reconstructed images by improving the sensitive field, and jointly uses ANSYS Maxwell, C++ and MATLAB for research.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"32 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":"134153482","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

Obstacle avoidance navigation method for robot based on deep reinforcement learning 基于深度强化学习的机器人避障导航方法

2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734337

X. Ruan, Chenliang Lin, Jing Huang, Yufan Li

{"title":"Obstacle avoidance navigation method for robot based on deep reinforcement learning","authors":"X. Ruan, Chenliang Lin, Jing Huang, Yufan Li","doi":"10.1109/ITOEC53115.2022.9734337","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734337","url":null,"abstract":"Aiming at the navigation problem of mobile robots indoor environment, the traditional navigation algorithm based on D3QN has some problems such as sparse reward and slow training speed of the neural network. This paper proposes a deep reinforcement learning Algorithm (LN-D3QN) based on the D3QN network to realize collision-free autonomous navigation of mobile robots. To improve the efficiency of mobile robot learning and exploration, the Vision Sensor is used to acquire the input data from the environment, and the layer normalization method is used to normalize the input data. An improved reward function is designed, which improves the reward value of the algorithm, optimizes the state space, and alleviates the problem of sparse reward to some extent. The data is stored in a priority experience replay pool, and the network is trained using small batches of data. In addition, we evaluate our method by experiment related to indoor navigation. The experiments show that the robot trained by the improved D3QN algorithm can adapt to the unknown environment more quickly than the basic D3QN algorithm. The network's convergence speed is also improved, and it can complete the obstacle avoidance navigation task more efficiently.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"66 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":"134406671","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

UAF-based Air Transportation Cooperative Information SoS Modeling under ‘Belt and Road Initiative’ “一带一路”下基于无人机的航空运输协同信息SoS模型

2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734391

Song Li, Ke Deng

{"title":"UAF-based Air Transportation Cooperative Information SoS Modeling under ‘Belt and Road Initiative’","authors":"Song Li, Ke Deng","doi":"10.1109/ITOEC53115.2022.9734391","DOIUrl":"https://doi.org/10.1109/ITOEC53115.2022.9734391","url":null,"abstract":"In this paper, the research on System of Systems (SoS) modeling is carried out based on the Unified Architecture Framework (UAF), to solve the problems of system heterogeneity, information inconsistency, insufficient data sharing, and low operational efficiency in the ‘Belt and Road Initiative’ air transportation environment. Firstly, the comparison between UAF and other architecture frameworks is carried out, verifying the superiority of the former. Then, combing with the classical Department of Defense Architecture Framework (DoDAF) development procedure, the process of UAF -based Air Transportation Cooperative Information (ATCI) SoS modeling is put forward, and the corresponding minimum UAF grid is cut out. Furthermore, according to the proposed process, multi-view modeling is carried out in the domains of requirements, parameters, strategic, operational, personnel, resources, etc., and different characteristics of the target SoS are shown from multiple perspectives. The research results can effectively facilitate the development of the prototype system, and provide an important means for exploring the new mechanism of ATCI SoS and its optimization and evaluation.","PeriodicalId":127300,"journal":{"name":"2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)","volume":"2 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":"133035880","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 Emotional Analysis Platform of College Students' Public Opinion Information Based on Big Data 基于大数据的大学生舆情信息情感分析平台研究

2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Pub Date : 2022-03-04 DOI: 10.1109/ITOEC53115.2022.9734607

Kefen Mou, B. Xu

引用次数: 1