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

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CatBoost based Jane Street Market Forecast Model 基于CatBoost的简街市场预测模型
2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID) Pub Date : 2021-05-28 DOI: 10.1109/AIID51893.2021.9456586
Y. He, Ouyang Jingze, Kikko, Maoyuan Li
{"title":"CatBoost based Jane Street Market Forecast Model","authors":"Y. He, Ouyang Jingze, Kikko, Maoyuan Li","doi":"10.1109/AIID51893.2021.9456586","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456586","url":null,"abstract":"Nowadays, stock market prediction and trading has attracted many investors who want to make a higher profit. And a lot of researchers have paid attention on it because it is a challenging task due to the high complexity of the market. More investors put their effort to the development of a systematic approach. Many machine learning algorithms have been utilized for the prediction of action. In this paper, we adopted a CatBoost method which is a kind of boosting method leading to an optimal performance. In the feature engineering, we use the mean of other values about one kind of feature to fill NaN value. And we show the figure about the missing value distribution of the feature. We train our model on the dataset from Jane Street Market provided by kaggle website. The experiments show that our method achieves superior performance over the other machine learning approaches. Our model's unity score is 202 and 401 higher than those of Lightgbm model algorithm and Neural Network model. respectively.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"239 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":"116578529","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
Deep Learning Approach for Auto-Detecting Idiopathic Pulmonary Fibrosis Prediction 自动检测特发性肺纤维化预测的深度学习方法
2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID) Pub Date : 2021-05-28 DOI: 10.1109/AIID51893.2021.9456590
Ziyuan Wang
{"title":"Deep Learning Approach for Auto-Detecting Idiopathic Pulmonary Fibrosis Prediction","authors":"Ziyuan Wang","doi":"10.1109/AIID51893.2021.9456590","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456590","url":null,"abstract":"In the field of computer vision, Convolutional Neural Network has been the most mainstream method and has shown excellent performance in medical images. Among Convolutional Neural Networks, U-Net and DenseNet have demonstrated outstanding and robust performance in image recognition and image segmentation, respectively. In this paper, we proposed a neural network with DenseNet as the Encoder and Unet as the Decoder for lung image segmentation and feature extraction. With this neural network, we extracted features from patients' CT Scan images and combined them with patients' clinical records to predict lung function trends in the future. This predictive value will provide significant help in determining whether the patient has Idiopathic Pulmonary Fibrosis, which is the purpose of our study.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"14 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":"125580588","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 Genetic Algorithm With Projection Operator for the Traveling Salesman Problem 带投影算子的遗传算法求解旅行商问题
2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID) Pub Date : 2021-05-28 DOI: 10.1109/AIID51893.2021.9456487
Kongxuan Yao, Weixiang Sun, Yongchuan Cui, Luqi He, Yikai Shao
{"title":"A Genetic Algorithm With Projection Operator for the Traveling Salesman Problem","authors":"Kongxuan Yao, Weixiang Sun, Yongchuan Cui, Luqi He, Yikai Shao","doi":"10.1109/AIID51893.2021.9456487","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456487","url":null,"abstract":"The traveling salesman problem is a NP-hard combinatorial optimization problem. So far, many algorithms are proposed for the problem. However, exact algorithms are time-consuming, while heuristic approaches may not obtain a global optimum. In fact, the genetic algorithm based on edge assembly crossover shows it good performance. Nevertheless, a drawback of the algorithm is that the algorithm may not work well for instances with cities produced by lattice, such as the instances coming from VLSI. In this paper, we propose projection operator for the algorithm to overcome the drawback. Under the control of the operator, when the state of trapped into local optimum is detected, individuals are projected and leave the neighborhood of the local optimum. Experimental results show that our projection operator can improve solution of the instances coming from the field of VLSI application.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"2 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":"128250921","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 XSS Attack Detection Method Based on Subsequence Matching Algorithm 基于后续匹配算法的 XSS 攻击检测方法
2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID) Pub Date : 2021-05-28 DOI: 10.1109/AIID51893.2021.9456515
Zhang Jingyu, Hui Hongchao, Huo Shumin, Li Huanruo
{"title":"A XSS Attack Detection Method Based on Subsequence Matching Algorithm","authors":"Zhang Jingyu, Hui Hongchao, Huo Shumin, Li Huanruo","doi":"10.1109/AIID51893.2021.9456515","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456515","url":null,"abstract":"XSS vulnerabilities are one of the main threats to current Web security, and measures must be taken to reduce the growing threat of XSS attacks. This research proposes a detection technique using a subsequence matching algorithm. The key point of the matching algorithm during detection is to find the common subsequence of the input parameters and the generated data, and set a threshold to limit the length of the common substring. The results obtained show that the proposed technique can successfully detect XSS vulnerabilities. Therefore, the technology proved to be more effective in detecting XSS attacks.","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":"131166953","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: 4
Internet of Things Access Control System Based on Smart Contract 基于智能合约的物联网门禁系统
2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID) Pub Date : 2021-05-28 DOI: 10.1109/AIID51893.2021.9456510
Long Xu, Yang Li
{"title":"Internet of Things Access Control System Based on Smart Contract","authors":"Long Xu, Yang Li","doi":"10.1109/AIID51893.2021.9456510","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456510","url":null,"abstract":"The rising of digital economy is due to the rapidly development of the new generation of information technology, represented by Internet of Things (IoT) technology. However, the huge number of sensors have limited resources and lack robust security mechanism, which brings a great risk challenges for centralized access control system. In order to deal with these challenges, the paper proposes a novel Capability-Based Access Control Model (NCBAC), which makes use of the advantages of Capability-Based Access Control (CBAC) decision-making mechanism and introduces role sets and attribute set for smart contract. This model is built for providing a decentralized, flexible, expandable and high-granularity access control system. Additionally, token has been conducted in access control model for enhancing the system's capability. Finally, the simulation experiment results showed the feasibility and effectiveness of the system, which also demonstrates the token mechanism promoting the access control performance of the system effectively.","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":"129334046","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
Deep learning-optical network routing algorithm based on wavelength continuity supervision 基于波长连续性监督的深度学习光网络路由算法
2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID) Pub Date : 2021-05-28 DOI: 10.1109/AIID51893.2021.9456482
Xingfu Zhou, Deqiang Ding, Kan Li, Shuai Xiao, Guqing Liu, Jinzhi Ran, Qingsong Xie
{"title":"Deep learning-optical network routing algorithm based on wavelength continuity supervision","authors":"Xingfu Zhou, Deqiang Ding, Kan Li, Shuai Xiao, Guqing Liu, Jinzhi Ran, Qingsong Xie","doi":"10.1109/AIID51893.2021.9456482","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456482","url":null,"abstract":"In order to reduce the blocking rate of wavelength routing DWDM optical network and improve the wavelength resource utilization, this paper proposes a deep learning optical network routing algorithm based on wavelength continuity supervision (DL-RWA). In this algorithm, wavelength continuity is taken as the key parameter, and the data set is created by supervised learning. After the deep neural network (DNN) is constructed, the data set is used to train it, and the network parameters are adjusted, so that the algorithm can select the routing and wavelength assignment (RWA) scheme with the best wavelength continuity according to the real-time situation of the dynamic network. The simulation results show that compared with the traditional KSP + FF routing algorithm, DL-RWA algorithm can effectively enhance the routing effect and improve the network environment when dealing with the long correlation traffic model (IP traffic simulation).","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"43 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":"130985208","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 Public Transportation Information Service System Based on Intelligent Perception 基于智能感知的公共交通信息服务系统研究
2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID) Pub Date : 2021-05-28 DOI: 10.1109/AIID51893.2021.9456557
Chen Shenjin, Zhan Chuanchun
{"title":"Research on Public Transportation Information Service System Based on Intelligent Perception","authors":"Chen Shenjin, Zhan Chuanchun","doi":"10.1109/AIID51893.2021.9456557","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456557","url":null,"abstract":"Aiming at the problems of urban public transportation congestion in Guangzhou and difficulty for citizens to travel, this paper designs a public transportation information service system based on intelligent perception to realize data sharing and information interaction between people, vehicles and roads. The system uses intelligent perception and multi-source information fusion technology, and connects passengers to the intelligent transportation system without perception through the identification of traffic elements that can be sensed by mobile phones (people), vehicle terminals (cars) and roadside nodes (roads). The human-vehicle-road collaborative working environment fully realizes the intelligent collaboration of human-vehicle-road. The system realizes the collection of various public transportation, passenger flow, road conditions and other information in different traffic scenarios, provides services such as operation, dispatch, driver management, and equipment mobile monitoring for public transportation companies, and provides travel route planning, waiting arrival reminders, and dynamics for travelers Personalized and accurate services such as navigation and dynamic transfer will improve the service level and satisfaction of citizens, and comprehensively improve the efficiency of urban public transportation services.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"66 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":"130488356","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
Multi-scale Feature Mergence Reinforced Network for Person Re-Identification 基于多尺度特征融合增强网络的人物再识别
2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID) Pub Date : 2021-05-28 DOI: 10.1109/AIID51893.2021.9456472
Ruiqi Tang, Xuejun Kang, Kaibing Zhang, Minqi Li
{"title":"Multi-scale Feature Mergence Reinforced Network for Person Re-Identification","authors":"Ruiqi Tang, Xuejun Kang, Kaibing Zhang, Minqi Li","doi":"10.1109/AIID51893.2021.9456472","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456472","url":null,"abstract":"Person Re-Identification (Re-ID) is a challenging task due to large different appearances of people across disjoint views heavily influenced by many factors such as illumination variations, person pose variations, and view variations. Therefore, it is imperative to learn more discriminative feature representation for Re-ID. Existing deep learning models focus on developing feature representation with different scales to characterize person better, which tend to incur interferential and redundant feature output. In this paper, we develop a dynamical and adaptive selective feature fusion module (SFFM) for feature learning, which depends on the input images entirely and facilitates to extract more discriminative features for Re-ID. Moreover, we further improve the discriminative capability of the proposed deep network by incorporating the island loss (IL) with the triplet loss and the softmax loss. The newly proposed loss function is beneficial to increase the distance between those samples belonging to different classes. Validation experiments performed on two standard benchmarks called Market-ISOI and DukeMTMC-reID datasets demonstrate the effectiveness of the proposed method.","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":"123338369","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
Numerical simulation of normal reflection shock wave of near-surface nuclear explosion 近地表核爆炸法向反射冲击波的数值模拟
2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID) Pub Date : 2021-05-28 DOI: 10.1109/AIID51893.2021.9456486
Rui Gao, Bairong Wang
{"title":"Numerical simulation of normal reflection shock wave of near-surface nuclear explosion","authors":"Rui Gao, Bairong Wang","doi":"10.1109/AIID51893.2021.9456486","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456486","url":null,"abstract":"The shock wave of near-surface nuclear explosions is of particular interest due to the wide range of destructive damage and destroy. In this study, the normal reflected shock wave of near-surface nuclear explosion is considered based on the similarity law of explosion. AUTODYN has also been utilized to simulate the reflected shock wave in the air. The numerical simulation indicates significant variations of peak overpressure of shock wave of explosive with different charge masses and HOBs from radial distances, and the result can be used to analysis the propagation and attenuation of reflected shock wave of nuclear explosion.","PeriodicalId":412698,"journal":{"name":"2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID)","volume":"84 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":"121227271","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 Fast Algorithm for Near-Duplicate Image Detection 一种快速的近重复图像检测算法
2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID) Pub Date : 2021-05-28 DOI: 10.1109/AIID51893.2021.9456496
Yafeng Li
{"title":"A Fast Algorithm for Near-Duplicate Image Detection","authors":"Yafeng Li","doi":"10.1109/AIID51893.2021.9456496","DOIUrl":"https://doi.org/10.1109/AIID51893.2021.9456496","url":null,"abstract":"Due to the popularity of digital image devices, the number of photos has increased dramatically. Because there are many photos with similar contents, the technology of detecting similar image is beneficial to the field of data storage, image retrieval and information security. This paper proposes an improved algorithm for near-duplicate image detection that not only utilizes the global feature of the color histogram, but also take into account of local complexity based on Entropy. It improves the accuracy of near-duplicate image detection without the increase of computing greatly. The experimental results on the image datasets indicate the effectiveness of the proposed algorithm.","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":"125816175","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: 4
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