2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE)最新文献_第5页

Performance Analysis of Serial and Parallel Amplify-and-Forward Relaying Coherent OFDM FSO System over Exponential Weibull Atmospheric Turbulence Channel 指数威布尔大气湍流信道上串并联放大前向中继相干OFDM FSO系统性能分析

2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674510

Qianqian Wang, Haibo Wang, Yi Wang

{"title":"Performance Analysis of Serial and Parallel Amplify-and-Forward Relaying Coherent OFDM FSO System over Exponential Weibull Atmospheric Turbulence Channel","authors":"Qianqian Wang, Haibo Wang, Yi Wang","doi":"10.1109/ICECE54449.2021.9674510","DOIUrl":"https://doi.org/10.1109/ICECE54449.2021.9674510","url":null,"abstract":"This paper proposes a coherent orthogonal frequency division multiplexing (OFDM) free space optical (FSO) communication system model consisting of parallel channel state information (CSI)-assisted amplify-and-forward (AF) relays over Exponential Weibull (EW) atmospheric attenuation channel. Using quadrature amplitude modulation (QAM) as a subcarrier mapping mode for OFDM signals. Considering the joint effects of path loss, pointing errors and atmospheric turbulence, the closed-form expressions of the Meijer G form of moment generating function (MGF), probability density function (PDF), and cumulative distribution function (CDF) are derived. Using these results, the closed-form expressions for the lower bounds of the outage probability and the symbol error rate (SER) of the proposed system are derived using Meijer’s G-function. In addition, the influence of atmospheric turbulence intensity, number of subcarriers, mapping coefficient and other important factors on outage performance and SER are analyzed by simulations. The simulation results show that the relaying technology can increase the link range and improve the performance of the FSO communication systems.","PeriodicalId":166178,"journal":{"name":"2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124770616","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

IPR-GAN: Identity Preserving Representation GAN for Multi-view Face Synthesis and Recognition 基于身份保持表示的多视图人脸合成与识别GAN

2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674555

Yan Wan, Lingwei Shen, L. Yao

引用次数: 0

Study on Clock Synchronization Model in Low Voltage Station 低压电站时钟同步模型的研究

2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674586

Zhan Shi, Yutu Liang, Xiuzhu Wang, Zhenyu Zhong

引用次数: 0

Research on the Performance of 2x2 MIMO Vehicle Visible Light Communication System 2x2 MIMO车载可见光通信系统性能研究

2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674367

Ying Zhang, Ouyang Cai, Yufeng Yang

{"title":"Research on the Performance of 2x2 MIMO Vehicle Visible Light Communication System","authors":"Ying Zhang, Ouyang Cai, Yufeng Yang","doi":"10.1109/ICECE54449.2021.9674367","DOIUrl":"https://doi.org/10.1109/ICECE54449.2021.9674367","url":null,"abstract":"In order to study the influence of the channel environment on the performance of the vehicle-mounted visible light communication system, the 2x2MIMO vehicle-mounted visible light channel spatial correlation model was established, and the influence of each parameter on the condition number of the channel matrix was analyzed. Then the spatial rectangular model of the 2x2MIMO vehicle-mounted visible light communication system was optimized. The received power of the direct path of the low beam and the high beam system and the diffuse reflection path of the ground and adjacent lanes was studied; through the Mie theory, and finally the number of different dust particles is simulated and analyzed the effect of density and channel correlation on system performance. The results show that: the relative speed and direction of motion have a large impact on the low beam and high beam systems respectively; the reflected power of the vehicle surface in the adjacent lane is greater than the ground reflected power; the number of dust particles has a greater impact on the transmission power than the wavelength; the high beam Compared with the low beam system channel capacity, the system channel capacity has increased by about $7.7mathrm{x}10^{4}$(b/s). The performance of the vehicle-mounted visible light communication system increases with the decrease of the distance between the transmitting end and the distance between the receiving end, the offset of the transceiver end and the height difference.","PeriodicalId":166178,"journal":{"name":"2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130414268","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

ICECE 2021 Cover Page ICECE 2021封面

2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/icece54449.2021.9674617

引用次数: 0

A Joint Source-Channel Code Modulation Scheme Based on Variable-Length Code and Doping Modulation 一种基于变长码和掺杂调制的联合源信道码调制方案

2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674645

Han Bao, Can Zhang, Shaoshuai Gao

引用次数: 0

A Novel Stacking Framework Based On Hybrid of Gradient Boosting-Adaptive Boosting-Multilayer Perceptron for Crash Injury Severity Prediction and Analysis 基于梯度增强-自适应增强-多层感知器混合叠加框架的碰撞损伤严重程度预测与分析

2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674567

Jovial Niyogisubizo, L. Liao, Yuyuan Lin, Linsen Luo, Eric Nziyumva, Evariste Murwanashyaka

{"title":"A Novel Stacking Framework Based On Hybrid of Gradient Boosting-Adaptive Boosting-Multilayer Perceptron for Crash Injury Severity Prediction and Analysis","authors":"Jovial Niyogisubizo, L. Liao, Yuyuan Lin, Linsen Luo, Eric Nziyumva, Evariste Murwanashyaka","doi":"10.1109/ICECE54449.2021.9674567","DOIUrl":"https://doi.org/10.1109/ICECE54449.2021.9674567","url":null,"abstract":"Crash injury severity prediction is a promising area of interest in traffic safety and management. Recently, machine learning approaches are becoming popular due to their ability to enhance the prediction performance through the bias-variance trade-off-technique. However, some of these methods are criticized to perform like a ‘black box’ approach while predicting and analyzing crash injury severity and produce low accuracy. In this study, we propose a novel stacking framework based on a hybrid of Gradient Boosting (GB), Adaptive Boosting (AdaBoost), and Multilayer Perceptron (MLP) to predict accurately crash injury severity. On the traffic collision dataset provided by the Seattle City Department of Transportation from 2004 to 2021, the proposed model has demonstrated superior performance when compared with the base models. Furthermore, SHAP (SHapley Additive exPlanation) is used to interpret the contribution of every feature on model performance and provide recommendations to responsible authorities.","PeriodicalId":166178,"journal":{"name":"2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114754848","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 Optimization Method of Multi-scale Marine Fish Target Fast Detection Network 多尺度海鱼目标快速检测网络优化方法研究

2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674233

Yang Liu, Jiaze Zhang, Shengmao Zhang, Fei Wang, Xueseng Cui, Zuli Wu, Guohua Zou, Jing Bo

{"title":"Research on Optimization Method of Multi-scale Marine Fish Target Fast Detection Network","authors":"Yang Liu, Jiaze Zhang, Shengmao Zhang, Fei Wang, Xueseng Cui, Zuli Wu, Guohua Zou, Jing Bo","doi":"10.1109/ICECE54449.2021.9674233","DOIUrl":"https://doi.org/10.1109/ICECE54449.2021.9674233","url":null,"abstract":"The fish target detection algorithm lacks a good quality data set, and the algorithm achieves real-time detection with lower power consumption on embedded devices, and it is difficult to balance the calculation speed and identification ability. To this end, this paper collected and annotated a data set of 84 fishes containing 10042 images, and based on this data set, proposed a multi-scale input fast fish target detection network (BTP-yoloV3) and its optimization method. The experiment uses Depthwise convolution to redesign the backbone of the yoloV4 network, which reduces the amount of calculation by 94.1%, and the test accuracy is 92.34%. Then, the training model is enhanced with MixUp, CutMix, and mosaic to increase the test accuracy by 1.27%; Finally, use the mish, swish, and ELU activation functions to increase the test accuracy by 0.76%. As a result, the accuracy of testing the network with 2000 fish images reached 94.37%, and the computational complexity of the network BFLOPS was only 5.47. Comparing the YoloV3∼4, MobileNetV2- yoloV3, and YoloV3-tiny networks of migration learning on this data set. The results show that BTP-Yolov3 has smaller model parameters, faster calculation speed, and lower energy consumption during operation while ensuring the calculation accuracy. It provides a certain reference value for the practical application of neural network.","PeriodicalId":166178,"journal":{"name":"2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121682867","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 Device-free Human Fall Detection System Based on GMM-HMM Using WiFi Signals 基于WiFi信号的GMM-HMM人体跌倒检测系统

2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674346

Xiaoyan Cheng, Binke Huang, Jing Zong

{"title":"A Device-free Human Fall Detection System Based on GMM-HMM Using WiFi Signals","authors":"Xiaoyan Cheng, Binke Huang, Jing Zong","doi":"10.1109/ICECE54449.2021.9674346","DOIUrl":"https://doi.org/10.1109/ICECE54449.2021.9674346","url":null,"abstract":"The increase in human life span has created a demand for health care and remote monitoring technologies for the elderly, and falls are one of the major health care threats for those living alone. Traditional fall detection systems based on vision, sensor networks, or wearable devices have some inherent limitations, which makes it difficult to be popularized in engineering applications. In this paper, we propose a real-time, non-contact, low-cost but accurate indoor fall detection system using commercial WiFi equipment. The CSI phase difference expansion matrix is used as the fall detection feature and an effective approach is designed to intercept fall activity signals by using sliding window and labeling methods. Furthermore, the Gaussian Mixture Model-Hidden Markov Model (GMM-HMM) approach is innovatively migrated to a WiFi-based identification system which is originally used for human 3D skeleton-based activity recognition. The approach is of great value for its high accuracy compared with other classification algorithms, such as LSTM, Random forest. Based on the above approaches, our proposed system is implemented on two computers equipped with commercial 802.1 ln NIC, and the system performance is evaluated in three typical indoor scenarios. The experimental results show that the system has superior performance and can realize real-time fall detection for a single person.","PeriodicalId":166178,"journal":{"name":"2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123052538","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

An FPGA Based Adaptive Real-Time Enhancement System for Dental X-rays 基于FPGA的牙科x射线自适应实时增强系统

2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674312

Haoyang Sang, Junsong Zhang, Liyi Yao, Zhao Wang, Kunmeng Luo, Wumeng Yin, Meng You, Bo Gao

{"title":"An FPGA Based Adaptive Real-Time Enhancement System for Dental X-rays","authors":"Haoyang Sang, Junsong Zhang, Liyi Yao, Zhao Wang, Kunmeng Luo, Wumeng Yin, Meng You, Bo Gao","doi":"10.1109/ICECE54449.2021.9674312","DOIUrl":"https://doi.org/10.1109/ICECE54449.2021.9674312","url":null,"abstract":"Dental X-ray imaging which shows the clear internal structure of teeth is essential for diagnosis. However, the image details in both dark and bright regions are often hard to distinguish due to the misoperation and the limitation of dental Xray imaging machines. In addition, the emergence of some realtime X-ray imaging machines has put forward higher requirements for the processing speed of enhancement systems. In this paper, an adaptive enhancement system consisting of a top control unit (TCU), an image quality feature extraction unit (FEU), a multilayer perception (MLP) unit and an adaptive image processing unit (IPU) is presented. Four image quality features as well as MLPs are proposed to detect image quality problems and control the image processing performance. For IPU, a novel fast contrast limited adaptive histogram equalization (FCLAHE) is proposed to accelerate the interpolation process. Modified guided filter, laplacian filter, gamma correction, and FCLAHE are integrated into the IPU. The proposed system is implemented in register transfer level (RTL) and demonstrated on field programmable gate array (FPGA). It runs at a clock frequency of 133 MHz and is capable of processing $1980times 1080$ images or videos with a high throughput of 127.35 Mpixels/s. Moreover, the proposed system offers the top image enhancement performance among the state-of-the-art implementations and its peak throughput is $37times$ higher than a personal computer (PC) with Core i7 8750H.","PeriodicalId":166178,"journal":{"name":"2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124840773","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