2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)最新文献

{"title":"Similarity-Difference Relation Network for Few-Shot Learning","authors":"Changhu Cheng, Yang Peng","doi":"10.1109/AIID51893.2021.9456570","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456570","url":null,"abstract":"Few-shot learning aims to build a classification model by training a small amount of labeled sample data, which can be well adapted to new domains. The key point of few-shot learning is that a small amount of sample data cannot reflect the true data distribution. Training on a small amount of sample data will lead to over-fitting of the deep neural network model. The differences between different categories are ignored when using similarity measures for classification. This paper proposes a novel few-shot learning method based on similarity-difference relation network, which uses shallow wide residual network to extract the features of the training dataset and fuses them into a category prototype. Meanwhile, SDRN pays attention to the characterization of similarities and differences between positive and negative samples. This paper verifies the effectiveness of the similarity-difference relational network on the Mini-ImageNet and Tiered-ImageNet datasets. The experimental results show that the similarity-difference two-way relational network further improves image classification accuracy in the few-shot learning task.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"14 8 Pt 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123695904","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":"Apple Packaging Redesign in LuochuanBased on the Concept of Sustainable Packaging","authors":"Xiangxiang Ding, Wei Wei, Beibei Zhang, R. Scherer, R. Damaševičius","doi":"10.1109/AIID51893.2021.9456488","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456488","url":null,"abstract":"With the development of the economy, people's living standards are constantly improving, the demand for fruit is getting bigger and bigger, the demand is also getting higher and higher, and the Luochuan apple is favored by consumers because of its delicious taste, economical, convenient transportation and storage, sales are through the roof. At present, apple packaging on the market is prone to rotten fruit, not environmental protection and other issues, it is necessary to re-design the existing apple packaging in Luochuan. The concept of sustainable packaging has been recognized by many countries, regions and organizations since its emergence. Packaging waste is also an important cause of pollution. Many scholars, designers and institutions have invested in the research and design of sustainable packaging, sustainable packaging is the only way of packaging development. Based on the analysis of the current situation of Luochuan's apple packaging, the paper focuses on the design process of new Luochuan apple packaging, aiming at the existing problems and combining with the concept of sustainable packaging. First of all, the existing apple packaging analysis, mainly can be divided into plastic packaging and paper packaging two kinds, there are some problems, such as insufficient protective performance, insufficient air permeability, some wastes can not be degraded, which brings burden to the environment, imperfect information and so on. Secondly, in view of the circulation environment, product characteristics and deficiencies of the existing packaging of Luochuan Apples, we redesigned them in combination with the concept of sustainable packaging, including packaging paper that directly touches Apples, cushioning pads, and corrugated boxes that are used as transportation packaging and sales packaging at the same time. Design, through the design of materials, structure, size, and decoration, a complete set of apple packaging is obtained. Finally, the pallet stacking situation is compared with the existing packaging, and the cost is estimated. The results show that the designed packaging has good protection performance, high space utilization, environmentally friendly, more complete information, and the cost is only 72.2% of the existing packaging.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131315027","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":"Neuromorphic Brain-Inspired Computing with Hybrid Neural Networks","authors":"Zongyuan Cai, Xinze Li","doi":"10.1109/AIID51893.2021.9456483","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456483","url":null,"abstract":"Neuromorphic brain-inspired computing is believed to solve the bottleneck of traditional Von Neumann architecture computers and may promote the development of the next-generation of high-performance computer architectures. Therefore, in recent years, brain-inspired computing has received extensive attention. Some large-scale brain-inspired research projects have yielded some results, such as further increasing computer capabilities in data processing and machine learning. How there is a lack of widely used artificial neural network based on computer science and neuroscience-inspired models and algorithms. This low compatibility between software and hardware reduces the computational programming efficiency and becomes an obstacle to the development of brain-inspired computing. This paper introduces the concept of neuromorphic brain-inspired computing and then introduces the research results of Neurogrid, Spinnaker, TrueNorth, Loihi and Tianjic, respectively. Finally, the paper shares the views on the future development trend of the field of neuromorphic brain-inspired computing.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128993735","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 Application of Smart Logistics System Based on Big Data: Taking Jingdong Logistics as an example","authors":"L. Weiguo, Zhong Xiaoying","doi":"10.1109/AIID51893.2021.9456572","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456572","url":null,"abstract":"This paper introduces the operation process and development process of the Qinglong system-the Jingdong big data intelligent logistics system. It explains the application of big data in the intelligent logistics system. The requirements of big data in intelligent logistics application scenarios are proposed. This paper puts forward some opinions on the application and development prospect of big data in intelligent logistics systems.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126729319","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 Digital Circuit Experiment System Based on Cloud Experiment","authors":"B. He","doi":"10.1109/AIID51893.2021.9456461","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456461","url":null,"abstract":"With the rapid development of Internet cloud technology, the concept of cloud laboratory has emerged. Compared with the traditional experimental teaching mode, cloud experiments are more flexible and free. Students can perform experimental operations anytime and anywhere without time and space constraints. The resources are shared, which can greatly improve the utilization rate of experimental resources. Students do not have to directly touch the experimental hardware equipment, which can effectively reduce the loss and maintenance cost of experimental equipment. Aiming at digital circuit experiment teaching, this paper studies a digital circuit experiment system based on cloud experiment to solve the problems in traditional experiment teaching and improve students' learning enthusiasm and initiative.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115941951","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 Image Super-Resolution Reconstruction Based on Transformer","authors":"Haiyong Wang, Kai Jiang","doi":"10.1109/AIID51893.2021.9456580","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456580","url":null,"abstract":"The existing super-resolution methods have the problems of blurring contour and losing details, which cannot make full use of the internal and external information of the image. On the basis of convolutional neural network, a super-resolution model embedded in Transformer module is proposed. Through the fusion of CNN and Transformer, image feature extraction and corrupted information recovery are performed. The training process is divided into an unsupervised pre-training process on the ImageNet subset and a supervised fine-tuning training process on the DIV2K data set. Contrastive loss is introduced into the loss function to achieve the consistency of super-resolution image category and texture. It is compared with the current mainstream image super-resolution methods on the standard 5 benchmark data sets. Experiments show that compared with other algorithms, this algorithm can better recover the high-frequency information of the image, and generate super-resolution results with clear details and fine structure.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125126252","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 Anti-swing and Over Elongation Detection Device of Elevator Compensating Chain","authors":"Jie Chen, Shuangchang Feng, Yanbin Zhang, P. Ma","doi":"10.1109/AIID51893.2021.9456569","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456569","url":null,"abstract":"The swing and over elongation of the compensating chain will affect the safe operation of the elevator. In order to solve this problem, this paper studies a detection device for anti-swing and over elongation of elevator compensation chain. It can effectively prevent the swing of the compensating chain when the elevator is running. At the same time, it can detect the elongation of compensating chain. To prevent the compensating chain swing and over elongation resulting in falling, breaking and other risks and to eliminate the hidden danger of the elevator. The elevators are running abnormal noise, shaking of the car and other condition. It is mainly caused by compensating chain elongation and large swing after elongation. Therefore, in view of the above situation, it is very necessary to study the detection device of the elevator compensating chain anti-swing and over elongation.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127797875","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 remote visual operation and maintenance of substation GIS equipment based on digital modeling","authors":"He Zhu, Hongliang Chen, Qibao Kang, Yaqian Wang, Zichi Wang","doi":"10.1109/AIID51893.2021.9456520","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456520","url":null,"abstract":"At present, the loading speed of model scene is slow in the visual operation and maintenance process of substation GIS equipment, which leads to poor visual operation and maintenance effect. In order to solve this problem, a remote visual operation and maintenance method of substation GIS equipment based on digital modeling is proposed. According to IEC61850 standard, the digital modeling of substation AC charging pile, DC charger and other main equipment is completed. The multi tree hybrid structure is generated by using the model data organization and dynamic operation and maintenance method, and the ground object model of substation is constructed to improve the loading speed of the model. The remote visual operation and maintenance of substation GIS equipment is realized by using the map model mapping technology. The experimental results show that the method can effectively improve the loading speed of the model scene, the average loading frame rate is 42 frame/s, and has good visual operation and maintenance effect and strong practical application.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132291972","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":"Structure-Process-Result Evaluation Model with Computer-Aided Engineering in Grass-Roots Practice","authors":"Hui-jun Ni, Bo Zhou, Guang-Ming Zheng","doi":"10.1109/AIID51893.2021.9456543","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456543","url":null,"abstract":"Data mining seeks to extract patterns from large sets of data using. The purpose of this study is to explore the application of three dimensional evaluation model with Computer-aided Engineering in team management. From January 2020, the Grass-roots began to use the structure-process-result with Computer-aided Engineering. The results showed that the self-efficacy scores of both teachers and students were significantly higher than those of the normal group (P < 0.05). It can be seen that the structure-process-result significantly improves the level of grass-roots team with Computer-aided Engineering.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114404802","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 Wind Power Prediction Based on Time Series","authors":"Yumeng Zhang, Yuying Zhao","doi":"10.1109/AIID51893.2021.9456531","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456531","url":null,"abstract":"Due to the uncontrollable characteristics of wind, such as randomness and volatility, the uncertainty of wind power production will be caused to some extent. In order to minimize the influence of wind farm on the stability and safety of the power grid, the prediction of wind power becomes particularly important. In this paper, considering many factors affecting power generation, the ARIMA models based on unary and multivariate time series are used for modeling and analysis of multiple input sequences and output sequences respectively. After comprehensive comparison and analysis, the optimal prediction method is obtained, which provides a new idea for wind power prediction.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114455959","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}