2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)最新文献_第8页

Cordic-based Softmax Acceleration Method of Convolution Neural Network on FPGA 基于cordic的FPGA卷积神经网络Softmax加速方法

2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS) Pub Date : 2020-03-01 DOI: 10.1109/ICAIIS49377.2020.9194894

Yongxiang Cao, Wan'ang Xiao, Jingdun Jia, Dehua Wu, Weixin Zhou

{"title":"Cordic-based Softmax Acceleration Method of Convolution Neural Network on FPGA","authors":"Yongxiang Cao, Wan'ang Xiao, Jingdun Jia, Dehua Wu, Weixin Zhou","doi":"10.1109/ICAIIS49377.2020.9194894","DOIUrl":"https://doi.org/10.1109/ICAIIS49377.2020.9194894","url":null,"abstract":"With the vigorous development of computing power, Convolutional Neural Network (CNN) is developing rapidly, and new CNN structures with more layers and better performance continue to appear. Field Programmable Gate Array(FPGA) has gradually become the best choice for people to deploy and accelerate CNNs as a current research hotspot. This paper has studied the hardware acceleration method of FPGA to implement and simulate the Softmax layer of Alexnet on Vivado 2018.1. Combined with the features of FPGA, the Cordic algorithm is used to implement basic operations such as division and exponential functions, instead of consuming floating-point arithmetic resources. The paper proposes a method to shrink the convergence domain and analyzes the errors generated by the different digits of data after quantization and fixed-point inputs. The relative error of the Softmax layer exponential function is controlled below 0.0146% by reducing the bit width which satisfied the design requirements and saved resources. This method can complete the calculation and classification of the Softmax layer in 66.5 cycles without processing the layer data at fixed points, which greatly improves the calculation speed of the Softmax layer.","PeriodicalId":416002,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124058692","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: 2

MaskS R-CNN Text Detector 屏蔽R-CNN文本检测器

2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS) Pub Date : 2020-03-01 DOI: 10.1109/ICAIIS49377.2020.9194911

P. Duan, Jiahao Pan, Wenbi Rao

引用次数: 1

Detection and recognition of hand abnormal state based on deep learning algorithm 基于深度学习算法的手部异常状态检测与识别

2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS) Pub Date : 2020-03-01 DOI: 10.1109/ICAIIS49377.2020.9194919

Xiaoping Yu, Lin Zhu, Lanxu Jia

引用次数: 1

Polyvalent Wireless Communication System (PWCS); A Potentially Useful Technology for Opportunistic Networks 多价无线通信系统;机会主义网络的潜在有用技术

2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS) Pub Date : 2020-03-01 DOI: 10.1109/ICAIIS49377.2020.9194809

Cossi Blaise Avoussoukpo, Chunxiang Xu, Marius Tchenagnon

{"title":"Polyvalent Wireless Communication System (PWCS); A Potentially Useful Technology for Opportunistic Networks","authors":"Cossi Blaise Avoussoukpo, Chunxiang Xu, Marius Tchenagnon","doi":"10.1109/ICAIIS49377.2020.9194809","DOIUrl":"https://doi.org/10.1109/ICAIIS49377.2020.9194809","url":null,"abstract":"The concept of the Internet of things is a paradigm that is supposed to integrate several complex technologies. Opportunistic Networks due to its nature, do share common characteristics with the Internet of Things. Thus, the study of opportunistic Networks could greatly benefit the Internet of Things area of research. The Opportunistic Networks aim to use the altruism of mobile or immobile things to achieve specific tasks. However, among other challenges to solve for the Opportunistic Networks to work appropriately is the lack of a flexible, low-cost, and polyvalent communication system. Thankfully, the Polyvalent(Multipurpose) Wireless Communication System (PWCS) appears as a serious candidate to solve that challenge. This paper aims to show the correlation between an existing but unexplored technology; the PWCS, and Opportunistic Networks providing four main contributions. First, this paper clarifies the concept of opportunistic networks. Second, it points out the key differences between OppNets and some communications models that emerged from Mobile Ad hoc Networks research. Third, it presents the PWCS. Finally, it provides the correlation between OppNets and the PWCS and also discusses the limitations of the PWCS. The PWCS, if given unbiased attention, may add value to the communication field.","PeriodicalId":416002,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127604702","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: 2

RLM: a new mask countermeasure to resist HO-CPA for GIFT RLM:一种新的抗GIFT - HO-CPA掩码对策

2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS) Pub Date : 2020-03-01 DOI: 10.1109/ICAIIS49377.2020.9194867

Yueqing Li, Shihui Zheng

引用次数: 0

Multipath Mitigation Analysis using Hatch Filter and DTW in Single Frequency RTK 单频RTK中基于Hatch滤波器和DTW的多径抑制分析

2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS) Pub Date : 2020-03-01 DOI: 10.1109/ICAIIS49377.2020.9194831

N. Echoda, S. Z. Farooq, Hong Xuebao, J. Chukwuma, Dongkai Yang

{"title":"Multipath Mitigation Analysis using Hatch Filter and DTW in Single Frequency RTK","authors":"N. Echoda, S. Z. Farooq, Hong Xuebao, J. Chukwuma, Dongkai Yang","doi":"10.1109/ICAIIS49377.2020.9194831","DOIUrl":"https://doi.org/10.1109/ICAIIS49377.2020.9194831","url":null,"abstract":"Multipath being a stochastic GNSS error is hard to eliminate. For two receivers operating in differential GNSS mode with a short baseline (below 10 km in this case), it is possible to mitigate geographically common errors to both receivers but not multipath. Real Time Kinematic (RTK) uses carrier-phase observations to form differences in real time. The single frequency (SF) code observations for receivers functioning in RTK are filtered through code-carrier combination of observations. The Hatch filter algorithm is often utilized in SF-GNSS based applications to detect cycle slips and also to mitigate multipath. However, choosing an effective smoothing window is important to ensure that the Hatch filtered output matches closely to that of the input raw signal. Dynamic Time Warping (DTW) was used to get appropriate smoothing constant value for the Hatch filter by measuring the squared Euclidean distances of corresponding points of the two signals. Using dynamic data collected for 906 epochs from two receivers configured in RTK mode, a bespoke SF-RTK software was used to compare the positioning results of the Hatch filtered output to that of the widely used RTKLIB software. The results showed that the standard deviation of the differences of the ECEF coordinates between the two software are within centimetre levels.","PeriodicalId":416002,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122719627","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: 3

Research on the optimal coordinated control strategy of ‘source-grid-load-storage’ including electric vehicle and distributed power supply 包含电动汽车和分布式电源的“源-网-蓄负荷”最优协调控制策略研究

2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS) Pub Date : 2020-03-01 DOI: 10.1109/ICAIIS49377.2020.9194707

Guang-bin Huang, Hao Ma, Xi Chen, Binrong Zhang, Chang Liu, Jing Zhang

引用次数: 0

A Camouflaged Object Detection Model Based on Deep Learning 一种基于深度学习的伪装目标检测模型

2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS) Pub Date : 2020-03-01 DOI: 10.1109/ICAIIS49377.2020.9194881

Yong Wang, Ling Li, Xin Yang, Xinxin Wang, Hui Liu

引用次数: 10

Network Security Analysis of Industrial Control System Based on Attack-Defense Tree 基于攻击防御树的工业控制系统网络安全分析

2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS) Pub Date : 2020-03-01 DOI: 10.1109/ICAIIS49377.2020.9194818

Sui He, Ding Lei, Wang Shuang, Chunbo Liu, Zhaojun Gu

引用次数: 0

Design of moving target tracking system based on Jetson platform 基于Jetson平台的运动目标跟踪系统设计

2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS) Pub Date : 2020-03-01 DOI: 10.1109/ICAIIS49377.2020.9194918

Xuejun Wang, Zhiguo Zhou, Yun Li

引用次数: 0