2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)最新文献

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Real-time 3D Route Planning based on Modified Rapidly Exploring Random-tree Algorithm 基于改进快速探索随机树算法的实时三维路由规划
Shaoqing Zhang, Mingwei Lv, Chen Yang
{"title":"Real-time 3D Route Planning based on Modified Rapidly Exploring Random-tree Algorithm","authors":"Shaoqing Zhang, Mingwei Lv, Chen Yang","doi":"10.1109/ICEICT.2019.8846357","DOIUrl":"https://doi.org/10.1109/ICEICT.2019.8846357","url":null,"abstract":"In this paper, the real-time Unmanned aerial vehicle(UAV) three-dimensional route planning problem is firstly modeled, and the improved fast-expanded random tree algorithm (M-RRT) is used to optimize the route. Simulation results show that M-RRT has good real-time and complete performancein solving real-time three-dimensional route planning problem, and can quickly find routes that can avoid all threat areas and meet the error range, Meanwhile, due to the greedy strategy and random sampling of the algorithm, M-RRT algorithm has strong stability.","PeriodicalId":382686,"journal":{"name":"2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125661195","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 Design of Microwave LC-Resonator-Based Biosensor with Double Sensentive Region for Healthy-IoT Applications 健康物联网应用中基于微波lc谐振器的双感区生物传感器设计
T. Qiang, Cong Wang, K. K. Adhikari, Qun Wu, Guohui Yang
{"title":"A Design of Microwave LC-Resonator-Based Biosensor with Double Sensentive Region for Healthy-IoT Applications","authors":"T. Qiang, Cong Wang, K. K. Adhikari, Qun Wu, Guohui Yang","doi":"10.1109/ICEICT.2019.8846346","DOIUrl":"https://doi.org/10.1109/ICEICT.2019.8846346","url":null,"abstract":"This study presents a microwave LC-resonator-based biosensor with double sensitive region potentially for healthy Internet of things (IoT) applications. The proposed LC-resonator consists of an intertwined inductor and an interdigital capacitor, which can separately provide a sensitive region. The inductance and capacitance can be varied after the sensitive region contacts with potential healthy-IoT-based biomarker solution. Through two sensitive region, it could be feasible that two different biomarker solutions for two potential disease can be detected at the same time, for example, glucose biomarker solution for diabetes and uric biomarker solution for kidney failure. Moreover, disease that has to be diagnosed based on two necessary biomarkers could be feasibly proceeded based on our work. The proposed biosensor is simulated based on the GaAs-based integrated passive technology possessing a chip size of $1379 mu m times 585 mu m$ and operation frequency of 7.46 GHz. This work is targeting to provide a new method to deal with healthy-IoT applications.","PeriodicalId":382686,"journal":{"name":"2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123925893","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
Improved Island Microgrid Fault Analysis by Considering the Effect of DG Control Methods 考虑DG控制方法影响的海岛微电网故障改进分析
Liang Ji, Haitao Zhang, Ling Mao, Jiabin Shi, Zhe Cao, Zeyu Ni, X. Tao
{"title":"Improved Island Microgrid Fault Analysis by Considering the Effect of DG Control Methods","authors":"Liang Ji, Haitao Zhang, Ling Mao, Jiabin Shi, Zhe Cao, Zeyu Ni, X. Tao","doi":"10.1109/ICEICT.2019.8846352","DOIUrl":"https://doi.org/10.1109/ICEICT.2019.8846352","url":null,"abstract":"During system faulty condition, the output of inverter-type distributed generation is different from the traditional generation but according to the different distributed generation (DG) control methods. In this paper, a new fault analyzing method which considers the negative effect of DG control methods is proposed. Firstly, an equivalent fault analysis model of inverter type DG is developed by considering the constraints of different control methods, in terms of active and reactive power (PQ) control and V/F control. Based on the equivalent model, the fault analysis of island microgrid under the scenarios of PQ and V/F control is carried out by establishing equivalent island microgrid model. The fault voltage and current are calculated by solving the constrain equations based on different DG controls. Besides, both symmetrical and asymmetrical fault conditions are analyzed. Finally, the well-developed power grid simulation software DIgSILENT is applied to build a typical micro-grid model containing inverter-type DGs which is functioned with PQ control and V/F control. The results of the proposed analysis method are compared with the well-developed simulation results and typical conventional analyzing method. The comparison results verify that the proposed fault analysis method is effective and has great accuracy on the computation of fault data.","PeriodicalId":382686,"journal":{"name":"2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124427158","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
Statistical approximation properties of Stancu type λ-Bernstein operators Stancu型λ-Bernstein算子的统计近似性质
Peng-Hui Wang, Qingbo Cai
{"title":"Statistical approximation properties of Stancu type λ-Bernstein operators","authors":"Peng-Hui Wang, Qingbo Cai","doi":"10.1109/ICEICT.2019.8846309","DOIUrl":"https://doi.org/10.1109/ICEICT.2019.8846309","url":null,"abstract":"In this paper, we introduce a Stancu type λ Bernstein operators, and obtain the moments and the limitation of central moments of these operators, study a statistical approximation theorem and a Voronovskaja type theorem by using the concept of statistical convergence. We also give an example to show the convergent effect of these operators to certain function f.","PeriodicalId":382686,"journal":{"name":"2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"344 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122536899","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
Multiple Measurement Vector Sparsity Adaptive Algorithm Realize the non-orthogonal Waveform Separation of MIMO Sparse Linear Array 多测量向量稀疏度自适应算法实现了MIMO稀疏线性阵列的非正交波形分离
Qiao Chen, N. Tong, Yibei Dong, Lei Bao, Shuai Chen, Lixun Han
{"title":"Multiple Measurement Vector Sparsity Adaptive Algorithm Realize the non-orthogonal Waveform Separation of MIMO Sparse Linear Array","authors":"Qiao Chen, N. Tong, Yibei Dong, Lei Bao, Shuai Chen, Lixun Han","doi":"10.1109/ICEICT.2019.8846423","DOIUrl":"https://doi.org/10.1109/ICEICT.2019.8846423","url":null,"abstract":"In order to solve the irregular crossing distance migration (IRCM) in the compression sensing waveform separation method, the paper studies the characteristics of the signal received by MIMO radar and explores the joint sparsity of the multiple measurement vector in different observation channels. Multiple measurement vector sparse recovery algorithm is used to separate the echo replaced the single-observation vector restoration algorithm. It cannot only reconstruct the one-dimensional distance image with high precision but also suppress the IRCM. Aiming at the problem that current joint sparse recovery algorithm has poor separation effect due to the unknown sparsity, a sparse degree adaptive joint sparse recovery algorithm is proposed to improve the effect of waveform separation.","PeriodicalId":382686,"journal":{"name":"2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123962184","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
MPPSK Demodulation Based on Neural Network under Impulsive Noise 脉冲噪声下基于神经网络的MPPSK解调
Tang Qiuyue, Zhao Ling
{"title":"MPPSK Demodulation Based on Neural Network under Impulsive Noise","authors":"Tang Qiuyue, Zhao Ling","doi":"10.1109/ICEICT.2019.8846265","DOIUrl":"https://doi.org/10.1109/ICEICT.2019.8846265","url":null,"abstract":"Artificial neural network (ANN) has been widely used in many different fields including wireless communications, and shows superior properties. A novel demodulation scheme based on ANN for M-ary position phase shift keying (MPPSK) is proposed in this paper, which can be used to demodulate strictly band limited MPPSK signal with impulsive noise. Although high-order MPPSK signal can increase spectral efficiency in long-waveform channel, the main lobe of the signal is limited by the antenna, which causes inter-symbol-interference (ISI) and energy loss. Therefore, the symbol error rate (SER) cannot meet the requirement of the system. This paper proposes a novel scheme based on ANN to solve interference caused by the antenna and impulsive noise. The simulations demonstrate that this scheme can improve demodulation performance significantly for low frequency MPPSK signal, compared with a common demodulation scheme.","PeriodicalId":382686,"journal":{"name":"2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131015224","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
Groundless Endfire Antennas Based on Spoof Surface Plasmon Polaritons 基于欺骗表面等离子体激元的无根据地端射天线
Yajuan Han, S. Gong, Jiafu Wang, Yongfeng Li, S. Qu, Jie-qiu Zhang
{"title":"Groundless Endfire Antennas Based on Spoof Surface Plasmon Polaritons","authors":"Yajuan Han, S. Gong, Jiafu Wang, Yongfeng Li, S. Qu, Jie-qiu Zhang","doi":"10.1109/ICEICT.2019.8846293","DOIUrl":"https://doi.org/10.1109/ICEICT.2019.8846293","url":null,"abstract":"In this paper, a spoof surface plasmon polaritons (SSPPs) based groundless endfire antenna is proposed, which is composed of SSPPs guiding structure and a feed monopole. Through optimizing geometric parameters of the antenna configuration, electric field from the monopole can be coupled to SSPPs mode, which propagates on the SSPPs guiding structure and radiates at the structure end, leading to endfire radiation pattern. Because SSPPs mode is excited in near field zone, and SSPPs have properties of deep sub-wavelength and field confinement, the proposed antenna has advantages of low profile, miniaturized size and easy to conform. As an example, an X band endfire antenna is designed, fabricated and measured. The measured results are in accord with the simulate ones, and show that the proposed antenna works over $9.0 sim 10.8$ GHz with realized gain varying from 3.27dB to 6.6dB. Radiation performances of the antenna conformed to a cylinder are also simulated. And the results show that the proposed antenna obtains high-efficiency radiation performances in conformal antenna design.","PeriodicalId":382686,"journal":{"name":"2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"485 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131731605","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
Redundancy Generation and Elimination Method for Range Estimation in Stepped Frequency Radar 阶跃频率雷达距离估计的冗余产生与消除方法
Qiushi Chen, Xin Zhang, Yingning Dong, Jiazhi Zhang, Qiang Yang
{"title":"Redundancy Generation and Elimination Method for Range Estimation in Stepped Frequency Radar","authors":"Qiushi Chen, Xin Zhang, Yingning Dong, Jiazhi Zhang, Qiang Yang","doi":"10.1109/ICEICT.2019.8846273","DOIUrl":"https://doi.org/10.1109/ICEICT.2019.8846273","url":null,"abstract":"In order to adapt to the crowed High Frequency (HF) electromagnetic environment, improve the utilization rate of bandwidth and further realize the higher range resolution, the sparse random stepped frequency (SRSF) signal is introduced into HF radar. Signal model based on compressive sensing (CS) theory is put forward to reconstruct the range spectrum of targets. However, redundancy is generated due to external factors or unreasonable parameters in the process of estimating. Therefore, in this paper, key external factors affecting the range estimation performance are analyzed in detail. These factors mainly include mismatched distance redundancy, oversample redundancy, and also distortion from unknown velocities of moving targets. Specific elimination methods are also provided. Comparison between before and after elimination shows the effectiveness of the proposed method.","PeriodicalId":382686,"journal":{"name":"2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121630244","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
Dual-band Bandstop Filter Based-on Graphene in the Infrared Frequency Range 基于石墨烯的红外双频带阻滤波器
Yijun Cai, Yong-bo Guo, K. Xu, ShiKai Zuo, Hai-feng Lin, Rongrong Guo, Yuanguo Zhou
{"title":"Dual-band Bandstop Filter Based-on Graphene in the Infrared Frequency Range","authors":"Yijun Cai, Yong-bo Guo, K. Xu, ShiKai Zuo, Hai-feng Lin, Rongrong Guo, Yuanguo Zhou","doi":"10.1109/ICEICT.2019.8846254","DOIUrl":"https://doi.org/10.1109/ICEICT.2019.8846254","url":null,"abstract":"A graphene-based dual-band bandstop filter (DB-BSF) is presented in the infrared band. The filter is made up with a graphene waveguide and two graphene-ribbon resonators on the Al2O3/Si substrate, which supports waveguide mode and edge mode, respectively. The center frequency of each stopband can be independently adjusted by applying different bias electric fields upon graphene ribbons. The proposed configuration is significant in novel optical communication systems as a critical component.","PeriodicalId":382686,"journal":{"name":"2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117260195","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
Model of Sentiment Analysis with Deep Learning in Social Network Environment 社交网络环境下深度学习情感分析模型
Putra Wanda, Huang Jinjie
{"title":"Model of Sentiment Analysis with Deep Learning in Social Network Environment","authors":"Putra Wanda, Huang Jinjie","doi":"10.1109/ICEICT.2019.8846362","DOIUrl":"https://doi.org/10.1109/ICEICT.2019.8846362","url":null,"abstract":"Currently, the digital environment such as social network needs real-time and adaptive security model. Deep learning is becoming increasingly popular for various applications. In this research, we proposed a Dynamic Deep Learning algorithm, dubbed Dynamic Convolutional Neural Networks (CNN). Different from common CNN, it assigns similar signal parts to the same CNN channel and solves signal alignment. Therefore, it can better deal with the problem of data noise, alignment, and other data variations. We achieve an increase in CNN graph’s performance with dynamic k-max pooling model with a benchmark dataset for sentiment analysis.","PeriodicalId":382686,"journal":{"name":"2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123455785","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
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