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2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE)最新文献

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AR System for Mold Design Teaching 面向模具设计教学的AR系统
2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE) Pub Date : 2019-04-01 DOI: 10.1109/ICIASE45644.2019.9074050
Zongchao Yi, Qilin Cai, Tianfan Chen, Yun Zhang
{"title":"AR System for Mold Design Teaching","authors":"Zongchao Yi, Qilin Cai, Tianfan Chen, Yun Zhang","doi":"10.1109/ICIASE45644.2019.9074050","DOIUrl":"https://doi.org/10.1109/ICIASE45644.2019.9074050","url":null,"abstract":"Mold design is one of the core skills for students major in mold design and manufacturing. In this paper, augmented reality (AR) system is introduced to teach students on the acquisition of mold inner structure design. The AR teaching system can be deployed in mobile terminals such as intelligent mobile phone or pad, at which the students can rotate and scale the three dimensional (3D) models, read explanatory notes and play the voice illustrations.","PeriodicalId":206741,"journal":{"name":"2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127091263","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 Thermal Error of CNC Machine Tool Based on DBSCAN Clustering and BP Neural Network Algorithm 基于DBSCAN聚类和BP神经网络算法的数控机床热误差研究
2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE) Pub Date : 2019-04-01 DOI: 10.1109/ICIASE45644.2019.9074094
Huanzhao Li, Aimei Zhang, Xue-Yang Pei
{"title":"Research on Thermal Error of CNC Machine Tool Based on DBSCAN Clustering and BP Neural Network Algorithm","authors":"Huanzhao Li, Aimei Zhang, Xue-Yang Pei","doi":"10.1109/ICIASE45644.2019.9074094","DOIUrl":"https://doi.org/10.1109/ICIASE45644.2019.9074094","url":null,"abstract":"To reduce the influence of thermal error on the accuracy of CNC machine tool this paper proposed a temperature sensor measuring point optimization method based on DBSCAN clustering algorithm and a BP neural network modeling method for CNC machine tool. DBSCAN algorithm and Pearson correlation coefficient method reduced the temperature measurement point from 16 to 5. Established BP neural network for temperature and spindle displacement, and the score of the model up to 0.99, which provided an important theoretical basis for the machine tool thermal error compensation.","PeriodicalId":206741,"journal":{"name":"2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114447525","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 Novel Code-Aided Non-Orthogonal Multiple Access Technique in Downlink MIMO System 下行MIMO系统中一种新的码辅助非正交多址技术
2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE) Pub Date : 2019-04-01 DOI: 10.1109/ICIASE45644.2019.9074070
Wei-Chiang Wu
{"title":"A Novel Code-Aided Non-Orthogonal Multiple Access Technique in Downlink MIMO System","authors":"Wei-Chiang Wu","doi":"10.1109/ICIASE45644.2019.9074070","DOIUrl":"https://doi.org/10.1109/ICIASE45644.2019.9074070","url":null,"abstract":"Conventional downlink non-orthogonal multiple access (NOMA) exploits the power domain for multiple access and applies successive interference cancellation (SIC) to mitigate intra-cluster interference. It requires sophisticated user terminals (UTs) clustering, moreover, imperfect SIC results in error propagation that severely degrades system performance. In this paper, a novel code-aided multiuser multiple-input multiple-output NOMA (MIMO-NOMA) framework for downlink transmission is developed. We propose a simple grouping algorithm that separate all UTs in a cell into several clusters, with cluster number less than or equal to the BS antenna array size. ZF-based multiuser beamforming is then employed to remove the inter-cluster interference. Computer simulation results verify that the proposed method outperforms the conventional schemes.","PeriodicalId":206741,"journal":{"name":"2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126926653","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
The Network Accounting System with Security Certificate Based on the Eth ernet Bridge Ipv4/Ipv6 基于以太网桥Ipv4/Ipv6的安全证书网络计费系统
2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE) Pub Date : 2019-04-01 DOI: 10.1109/ICIASE45644.2019.9074081
Bing Liu, Jiancheng Zou
{"title":"The Network Accounting System with Security Certificate Based on the Eth ernet Bridge Ipv4/Ipv6","authors":"Bing Liu, Jiancheng Zou","doi":"10.1109/ICIASE45644.2019.9074081","DOIUrl":"https://doi.org/10.1109/ICIASE45644.2019.9074081","url":null,"abstract":"By analyzing the Linux kernel, this paper designs a network packet processing system based on the Linux Ethernet Bridge. The system builds a platform with functions of high-performance data acquisition, analysis, control and forwarding. The Ipv4/Ipv6 authentication and accounting system has the characteristics of high speed, safety and reliability.","PeriodicalId":206741,"journal":{"name":"2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121996985","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 Spiking Neural Network for Visual Color Feature Classification for Pictures with RGB-HSV Model 基于RGB-HSV模型的脉冲神经网络图像视觉颜色特征分类
2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE) Pub Date : 2019-04-01 DOI: 10.1109/ICIASE45644.2019.9074049
Hui Liang, Jianxing Wu, Ran Wang, F. Liang, Li Sun, Guohe Zhang
{"title":"A Spiking Neural Network for Visual Color Feature Classification for Pictures with RGB-HSV Model","authors":"Hui Liang, Jianxing Wu, Ran Wang, F. Liang, Li Sun, Guohe Zhang","doi":"10.1109/ICIASE45644.2019.9074049","DOIUrl":"https://doi.org/10.1109/ICIASE45644.2019.9074049","url":null,"abstract":"Spiking neural networks (SNNs) are artificial neural network models that are closely mimic natural neural networks. LIF (Leaky Integrate-and-fire) neuron model, population coding and Tempotron supervised learning rules are used to construct a spiking neural network for visual color feature classification based on RGB-HSV (Red, Green, Blue -Hue, Saturation, Value) model. The product of a momentum learning rate and the last weight change is proposed to speed up the training of the SNN. Test results based on a common data set show that the accuracy of the SNN can be up to 90%.","PeriodicalId":206741,"journal":{"name":"2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116814725","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-class Object Detection Algorithm Based on Convolutional Neural Network 基于卷积神经网络的多类目标检测算法
2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE) Pub Date : 2019-04-01 DOI: 10.1109/ICIASE45644.2019.9074015
Yanjuan Wang, H. Niu, Xiao Wang, Liang Chen
{"title":"Multi-class Object Detection Algorithm Based on Convolutional Neural Network","authors":"Yanjuan Wang, H. Niu, Xiao Wang, Liang Chen","doi":"10.1109/ICIASE45644.2019.9074015","DOIUrl":"https://doi.org/10.1109/ICIASE45644.2019.9074015","url":null,"abstract":"In order to improve the accurate recognition rate and localization rate of multi-class object detection, a new network structure, Res-YOLO-R., based on the combination of Residual Network (ResNet) and You Only Look Once (YOLO) detection network, is proposed. To improve the location ability and speed up the convergence of the network, the number and size of prediction boxes for YOLO network are redesigned by clustering analysis algorithm. Removing part of the pool layer and using convolution layer to raise or reduce the dimension of the feature to improve the ability of feature extraction and computing of the network. ResNet is designed as the feature extraction part, and the final average pool layer and the full connection layer are removed, and combines with the improved YOLO detection network to improve the degradation problem caused by the increasement of the network depth. In order to make the network learn object context information better, the ROUTE and REORG layers are used to fuse feature from different layers, and the feature map is reorganized. Through the comparison of experiments on commodity data sets, the network structure can effectively reduce the false detection rate and miss detection rate, improve the detection accuracy, positioning ability and recall rate of commodities, and have good real-time and generalization ability and strong practicability.","PeriodicalId":206741,"journal":{"name":"2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134088767","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
Performance Analysis of Routing Algorithms in Mesh Based Network on Chip using Booksim Simulator 基于Booksim模拟器的片上网格网络路由算法性能分析
2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE) Pub Date : 2019-04-01 DOI: 10.1109/ICIASE45644.2019.9074082
W. Myung, Zhao Qi, Ma Cheng
{"title":"Performance Analysis of Routing Algorithms in Mesh Based Network on Chip using Booksim Simulator","authors":"W. Myung, Zhao Qi, Ma Cheng","doi":"10.1109/ICIASE45644.2019.9074082","DOIUrl":"https://doi.org/10.1109/ICIASE45644.2019.9074082","url":null,"abstract":"Network on Chip (NoC) that integrates a large number of nodes in a chip is a competitive candidate to solve the problems of multi-core chip scalability and clock synchronization. Among the many factors that determine the NoC’s performance, the routing algorithms that determine a path from a source node to destination node have a tremendous impact on it. Suitable routing method can greatly improve the performance of NoC. In this paper, we analyze the effect of routing algorithms commonly used in a mesh structure. We compared the data transmission in terms of latency and throughput. Furthermore, we compare which method yielded relatively good results in case of existing a failed node in the network. All results and analysis in the text are derived by using the Booksim simulator. This research proposes the direction of NoC routing algorithms.","PeriodicalId":206741,"journal":{"name":"2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE)","volume":"219 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121294717","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
Embedded Face Recognition System Based on Multi-task Convolutional Neural Network and LBP Features 基于多任务卷积神经网络和LBP特征的嵌入式人脸识别系统
2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE) Pub Date : 2019-04-01 DOI: 10.1109/ICIASE45644.2019.9074104
Mengyue Zhang, Weihan Liao, Jianlian Zhang, Huisheng Gao, Fanyi Wang, Bin Lin
{"title":"Embedded Face Recognition System Based on Multi-task Convolutional Neural Network and LBP Features","authors":"Mengyue Zhang, Weihan Liao, Jianlian Zhang, Huisheng Gao, Fanyi Wang, Bin Lin","doi":"10.1109/ICIASE45644.2019.9074104","DOIUrl":"https://doi.org/10.1109/ICIASE45644.2019.9074104","url":null,"abstract":"Based on neural network and local binary pattern algorithm, this paper builds a lightweight artificial face recognition system on chip Firefly-RK3399, with high speed, strong robustness and high recognition accuracy. Our embedded artificial intelligent face recognition system mainly consists of face detection, feature extraction and recognition. Multi-task convolutional neural network (MTCNN) under the CaffeOnACL framework is utilized for face detection, and the local binary pattern (LBP) is applied as face recognition algorithm. Experiments illustrate that our artificial intelligent embedded face recognition system has high speed and accuracy, which is easy-carrying and of high commercial value as well.","PeriodicalId":206741,"journal":{"name":"2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122381652","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
Design a Wind Speed and Direction Sensor Based on Fiber Bragg Grating 基于光纤光栅的风速和风向传感器的设计
2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE) Pub Date : 2019-04-01 DOI: 10.1109/ICIASE45644.2019.9074055
Ying-Yi Lai, Yun-Sheng Ho, T. Liang
{"title":"Design a Wind Speed and Direction Sensor Based on Fiber Bragg Grating","authors":"Ying-Yi Lai, Yun-Sheng Ho, T. Liang","doi":"10.1109/ICIASE45644.2019.9074055","DOIUrl":"https://doi.org/10.1109/ICIASE45644.2019.9074055","url":null,"abstract":"In this paper, we proposed a wind speed and direction sensor which based on fiber Bragg grating (FBG). A broadband light source (BBS) was used as the light source. The anemometer consists of two sizes of stainless steel pipe and the coil spring designed to connect a cross-steel frame and the wind-pressed plate. When the wind speed drives the wind-pressed plate, the FBG will change the grating pitch through a special internal structure design to achieve the wind speed and wind direction sensing.","PeriodicalId":206741,"journal":{"name":"2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126010105","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 Distributed Intelligent Algorithm Applied to Imbalanced Data 一种应用于不平衡数据的分布式智能算法
2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE) Pub Date : 2019-04-01 DOI: 10.1109/ICIASE45644.2019.9074009
Z. Lee, Chou-Yuan Lee, So-Tsung Chou, Wei-Ping Ma, Fulan Ye, Zhen Chen
{"title":"A Distributed Intelligent Algorithm Applied to Imbalanced Data","authors":"Z. Lee, Chou-Yuan Lee, So-Tsung Chou, Wei-Ping Ma, Fulan Ye, Zhen Chen","doi":"10.1109/ICIASE45644.2019.9074009","DOIUrl":"https://doi.org/10.1109/ICIASE45644.2019.9074009","url":null,"abstract":"Data mining means to find valuable information in database or data sets. For imbalanced data, there are extremely low number of samples in database or data sets and it is not easy to solve these problems by traditional methods of data mining. In this paper, a distributed intelligent algorithm is proposed to imbalanced data. Apache Spark is implemented as the distributed framework in the proposed distributed intelligent algorithm, and its cluster computing framework with in-memory data processing engine can do analytic on large volumes of data. In the distributed framework, Apache Spark with synthetic minority oversampling technique (SMOTE) is proposed to process imbalanced data first. Thereafter, the support vector machine (SVM) is used to classify imbalanced data. The zoo data set from UCI repository is used to verify the correctness of the proposed algorithm. The results of the proposed distributed intelligent algorithm can get better performance than these compared traditional classifiers.","PeriodicalId":206741,"journal":{"name":"2019 IEEE International Conference of Intelligent Applied Systems on Engineering (ICIASE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131046790","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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