2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE)最新文献_第6页

Kalman Filter Assisted Spherical Intersection Ultra-Wideband Positioning 卡尔曼滤波辅助球面交会超宽带定位

2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674672

Bo Huang, Sumin Tang, Yong Feng

引用次数: 1

Optimized Interleavers for Bit-interleaved Polar Coded MIMO Systems 位交错极化编码MIMO系统的优化交织器

2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674299

Yimei Song, Jianyong Zhang, Weiguo Hu, Fengju Fan

引用次数: 0

Adaptive Enhancement for Scanned Historical Document Images 扫描历史文档图像的自适应增强

2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674392

Farouk Suleiman, Chris J. Hughes, E. Obio

{"title":"Adaptive Enhancement for Scanned Historical Document Images","authors":"Farouk Suleiman, Chris J. Hughes, E. Obio","doi":"10.1109/ICECE54449.2021.9674392","DOIUrl":"https://doi.org/10.1109/ICECE54449.2021.9674392","url":null,"abstract":"In this paper we propose, a novel adaptative histogram matching method to remove low contrast, smeared ink, bleed-through and uneven illumination artefacts from scanned images of historical documents. The goal is to provide a better representation of document images and therefore improve readability and the source images for Optical Character Recognition (OCR). Unlike other methods that are designed for single artefacts, our proposed method enhances multiple (low-contrast, smeared-ink, bleed-through and uneven illumination). The method starts by taking the bimodal peaks of the original grayscale image and multiplying them to generated gaussian windows to create an ideal histogram with weights of importance to distribution. This histogram becomes the reference histogram to be matched to the original image for a more optimized image. Median filtering is also incorporated in the method to remove salt and pepper noise. We demonstrate the technique on the European Newspapers project (ENP) dataset chosen from the Pattern recognition and image analysis research lab (PRImA) and establish from the results that, the proposed method significantly reduces background noise and improves image quality on multiple artefacts as compared to other enhancement methods tested. To evaluate the efficiency of the proposed method, we make use of several performance criteria. These include Signal to Noise Ratio (SNR), Mean opinion score (MOS), and visual document image quality assessment (VDIQA) metric. The proposed method performs best in all the evaluation metrics having a 42.6 % increment on the average score of the other methods for MOS, 44.3% increment on average score of other methods for SNR and 61.11% better in VDIQA compared to other methods.","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":"129545516","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

Novel Silicon-based Attenuator Chip 新型硅基衰减芯片

2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674434

Lu Dong, Yong Huang, Xi Chen

{"title":"Novel Silicon-based Attenuator Chip","authors":"Lu Dong, Yong Huang, Xi Chen","doi":"10.1109/ICECE54449.2021.9674434","DOIUrl":"https://doi.org/10.1109/ICECE54449.2021.9674434","url":null,"abstract":"The fast development of the wireless technology has enabled phased-array technology and 5G communication technology a hot research point. As an indispensable module in the wireless technology, the radio frequency front-end chip influences the performance of the wireless system. Silicon-based integrated circuit has been attracting increasing attention in the micrometer and millimeter wave filed, because it has many advantages, such as low cost, low power consumption and high integration. In order to achieve amplitude control with large range and high precision, three silicon-based attenuator chips with different structures are proposed in this paper, and their simulation design and processing test are carried out. The test results are basically consistent with the simulation, and the performance of devices is excellent. Firstly, they can work in ultra-wide microwave frequency range $(mathrm{D}mathrm{C}sim 50mathrm{G}mathrm{H}mathrm{z})$. Secondly, the proposed attenuators feature very small size $(0.7mathrm{m}mathrm{m}^{star}0.7mathrm{m}mathrm{m}^{star}0.1mathrm{m}mathrm{m})$, which is conducive to the miniaturization of integrated circuits. These attenuators can be used in various circuits, whether in communication technology, radar phased control technology, radio frequency technology, or other electronic circuits, as long as there is an amplifier circuit, almost all of them can not do without attenuator.","PeriodicalId":166178,"journal":{"name":"2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE)","volume":"7 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":"132459169","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

Sparse Channel Estimation for Cluster-Based Vehicle-to-Vehicle Channels in Roadside Scattering Environments 道路散射环境下基于聚类的车对车信道稀疏估计

2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674493

Xin Chen, Xudong Zhang, Y. Xue

引用次数: 0

An mm-wave CMOS Active Phase Shifter with a Low-Loss I/Q Generator for 5G Applications 5G应用中带低损耗I/Q发生器的毫米波CMOS有源移相器

2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674505

Yitong Xiong, Xiaoping Zeng, Y. Pu, Enze Nie

引用次数: 0

Key Techniques on Unified Identity Authentication in OpenMBEE Integration OpenMBEE集成中统一身份认证的关键技术

2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674355

Junjie Xue, Junhua Zhou, Guoqiang Shi, Chaoqun Feng, Penghua Liu, Hongyan Quan

{"title":"Key Techniques on Unified Identity Authentication in OpenMBEE Integration","authors":"Junjie Xue, Junhua Zhou, Guoqiang Shi, Chaoqun Feng, Penghua Liu, Hongyan Quan","doi":"10.1109/ICECE54449.2021.9674355","DOIUrl":"https://doi.org/10.1109/ICECE54449.2021.9674355","url":null,"abstract":"In order to make full use of the concept of model-based systems engineering (MBSE) and the collaborative design capability of the open model-based engineering environment (OpenMBEE) in establishing complex product development platform, we propose an effective method to solve the problem of unified identity authentication in OpenMBEE integration. The proposed method is based on the Model View Controller(MVC) architecture in OpenMBEE, which has the characteristics strong plasticity and can be benefit for expanding the function in the controller layer. In our research, we make full use of the Software Development Kit (SDK) of OpenMBEE to expand the existing functions in the controller layer, and increase the function of communicating with the application development platform, then realize the function of sharing user authentication information between the development platform and OpenMBEE. After expansion, the system includes three modules, including the Front-end Service Module(FSM), MQ based Information Receiving Service Module(IFRSM), and the OpenMBEE Backend Server Module(BSM). The effectiveness of the proposed strategies is verified by some practical instances, which verifies that our study can provide an effective design idea for the identity authentication in OpenMBEE integration.","PeriodicalId":166178,"journal":{"name":"2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE)","volume":"5 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":"114957207","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

Improved KNN Algorithm with Historical Information Fusion for Indoor Positioning 基于历史信息融合的室内定位改进KNN算法

2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674404

Hui Zhang, Zhikun Wang, Yiyang Ni, Wenchao Xia, Haitao Zhao

引用次数: 2

Machine Learning Strategies for the Implementation of a Surveillance Drone 无人机监控的机器学习实现策略

2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674383

B. Doraswamy, K. Krishna, M. N. Giri Prasad

{"title":"Machine Learning Strategies for the Implementation of a Surveillance Drone","authors":"B. Doraswamy, K. Krishna, M. N. Giri Prasad","doi":"10.1109/ICECE54449.2021.9674383","DOIUrl":"https://doi.org/10.1109/ICECE54449.2021.9674383","url":null,"abstract":"Drone technology is utilized for a variety of reasons, including military, agricultural, aerial photography, surveillance, remote sensing, and more. Based on real-time processing techniques, a drone plane is presented for monitoring and targeting public area crime theft in this proposed work. Previously crime prediction model was developed using Artificial Neural Network (ANN) and Regressive Neural Network (RNN), as they suffer from inappropriate accuracy levels and long-time computation. Thus, to overcome this drawback, Cat boost machine learning has been implemented as it uses tree-shaped primitives for the prediction that makes classification faster for the IoT environment. Buffalo-based Cat boosts Crime Prediction System (BCPS) initially collects crime data, preprocessing them, and then extracting environmental features and context features, the features are given to cat boost machine learning. The features are combined and give results as trees, and to improve accuracy, African Buffalo optimization (ABO) has been employed here. By estimating the predictors, a result has been obtained that was used for learning purposes and the testing side shows the result of crime theft detection. Thus BCPS is evaluated for results and compared with previous techniques to show the supremacy of the proposed model.","PeriodicalId":166178,"journal":{"name":"2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE)","volume":"46 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":"133479997","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

Partial Occlusion Face Recognition Based on CNN and HOG Feature Fusion 基于CNN和HOG特征融合的局部遮挡人脸识别

2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE) Pub Date : 2021-12-17 DOI: 10.1109/ICECE54449.2021.9674628

Jie Yi, Jin Hou, Linxiao Huang, Haode Shi, Jian Hu

{"title":"Partial Occlusion Face Recognition Based on CNN and HOG Feature Fusion","authors":"Jie Yi, Jin Hou, Linxiao Huang, Haode Shi, Jian Hu","doi":"10.1109/ICECE54449.2021.9674628","DOIUrl":"https://doi.org/10.1109/ICECE54449.2021.9674628","url":null,"abstract":"Although the present studies of face recognition have relatively been mature, in some complex scene environments, the efficiency of face recognition needs to be improved due to the influence of uncertain factors such as changes in illumination, changes in facial expressions, and partial facial occlusion. In order to improve the efficiency of face recognition, this paper proposes a feature fusion method based on convolutional neural networks (CNN) model and hog model. The model extracts rich implicit features from the original image by using convolutional neural network (CNN), and uses Dropout technology in the convolutional layer and the fully connected layer to randomly inhibit the activation of some neurons, so as to better solve the problem of overfitting. Moreover, this method also gives full play to the stability and robustness of Histogram of Oriented Gradients (HOG) Feature Enhancement Model. After extracting the CNN features and HOG features of the face, the method combines CNN SoftMax and HOG-SVM classifiers. The experimental results show that the recognition rate of this method is higher than that of single convolution neural network, which can reach 96.1%.","PeriodicalId":166178,"journal":{"name":"2021 IEEE 4th International Conference on Electronics and Communication Engineering (ICECE)","volume":"32 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":"132929970","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