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2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)最新文献

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Automatic Detection of Vehicle Targets Based on CenterNet Model 基于CenterNet模型的车辆目标自动检测
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342498
Yifan Sun, Zhongzhi Li, Lang Wang, Jiankai Zuo, Lan Xu, Mi Li
{"title":"Automatic Detection of Vehicle Targets Based on CenterNet Model","authors":"Yifan Sun, Zhongzhi Li, Lang Wang, Jiankai Zuo, Lan Xu, Mi Li","doi":"10.1109/ICCECE51280.2021.9342498","DOIUrl":"https://doi.org/10.1109/ICCECE51280.2021.9342498","url":null,"abstract":"In the context of the new era, the concept of smart transportation has appeared in people’s lives. Detecting vehicles and pedestrians has become a popular application research direction in the field of target detection. Aiming at the problem that traditional methods have low accuracy in vehicle detection in the actual environment, a vehicle detection method based on the CenterNet model in deep learning is proposed. When constructing the model, this paper regards the target as a point— the center point of the target BBox. The detector uses key point estimation to find the center point and returns to other target attributes, such as size, 3D position, direction, and even pose. This paper uses Peking University/Baidu_Autonomous Driving dataset for training and testing. The experimental results show that compared with Inception-ResNet-V2 and Efficient-Det, the method proposed in this paper has significantly improved the average detection accuracy. It has a good detection effect for vehicles in actual scenes, and the network has certain robustness.","PeriodicalId":229425,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125211889","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
CatBoost for Fraud Detection in Financial Transactions CatBoost在金融交易中的欺诈检测
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342475
Yeming Chen, Xinyuan Han
{"title":"CatBoost for Fraud Detection in Financial Transactions","authors":"Yeming Chen, Xinyuan Han","doi":"10.1109/ICCECE51280.2021.9342475","DOIUrl":"https://doi.org/10.1109/ICCECE51280.2021.9342475","url":null,"abstract":"Financial fraud is an ever growing menace with severe consequences in the financial industry. Machine learning plays an active role in the fraud detection in financial transactions. However, fraud detection is still a challenging problem due to two major reasons. First, either fraudulent or non-fraudulent behaviors change fast and constantly. Secondly, currently online transactions happen so fast, which require detection algorithms to be efficient and accurate. This paper introduces a machine learning method based on CatBoost for fraud detection. To improve detection accuracy, we apply feature engineering to generate highly important features and feed them into CatBoost for classification. Another key contribution of our work is using memory compression to speed up detection. The performance of our method is evaluated on a publicly IEEE-CIS Fraud dataset, provided by Kaggle competition platform. The experimental results demonstrate that our model based on CatBoost has obtained optimal accuracy of 0.983.","PeriodicalId":229425,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128568258","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: 6
Design of Remote Control Intelligent Vehicle System with Three-dimensional Immersion 三维沉浸式遥控智能车辆系统设计
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342054
Kaiyuan Wen, Su Gang, Zhifeng Li, Zhexiang Zou
{"title":"Design of Remote Control Intelligent Vehicle System with Three-dimensional Immersion","authors":"Kaiyuan Wen, Su Gang, Zhifeng Li, Zhexiang Zou","doi":"10.1109/ICCECE51280.2021.9342054","DOIUrl":"https://doi.org/10.1109/ICCECE51280.2021.9342054","url":null,"abstract":"The project uses 3D immersive technology to innovatively apply virtual reality technology to the monitoring field, and proposes the concept and technical route of remote 3D immersive intelligent control. A design scheme of a three-dimensional immersive remote somatosensory intelligent controller is proposed, which is applied to the remote three-dimensional immersive control of a crawler mobile robot, and the test and analysis of the principle prototype are completed.","PeriodicalId":229425,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121642154","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 the Transmission Mechanism of Character Image in Wechat Moments Based on Information Theory 基于信息论的微信朋友圈人物形象传播机制研究
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342181
Su Peilin
{"title":"Research on the Transmission Mechanism of Character Image in Wechat Moments Based on Information Theory","authors":"Su Peilin","doi":"10.1109/ICCECE51280.2021.9342181","DOIUrl":"https://doi.org/10.1109/ICCECE51280.2021.9342181","url":null,"abstract":"Faced with the widespread popularity of social software in the current society, the traditional way of impressing others through face-to-face transmission has been subverted. Taking story sharing in Wechat Moments as an example, the transmission of character images has broad research prospects. Based on the basic theories and concepts of information theory, this paper conducts an in-depth exploration of the transmission mechanism of the character images in Wechat Moments, convenes experimental subjects to carry out practical experiments, and sets up images in different people with text, songs, pictures and links four different media and mixed schemes of them. The analysis and discussion of the role of the transmission mechanism has resulted in interesting and enlightening inferences, which will have long-term guiding significance for the way people express on social platforms in the future.","PeriodicalId":229425,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122314334","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 low probability of intercept OFDM radar communication waveform design method 一种低截获概率OFDM雷达通信波形的设计方法
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342066
Shengkun Zhu, Xiaobai Li, Rui-juan Yang, Xitong Zhu
{"title":"A low probability of intercept OFDM radar communication waveform design method","authors":"Shengkun Zhu, Xiaobai Li, Rui-juan Yang, Xitong Zhu","doi":"10.1109/ICCECE51280.2021.9342066","DOIUrl":"https://doi.org/10.1109/ICCECE51280.2021.9342066","url":null,"abstract":"In recent years, orthogonal frequency division multiplexing (OFDM) has been widely used as a radar communication integrated shared signal. In order to improve the RF stealth performance of OFDM radar communication integration system, a shared waveform optimization method based on interception probability is proposed. Firstly, the interception probability model of the interception receiver for OFDM shared signal is derived, and then the resource management model of OFDM radar communication integration system is established. The objective function of the model is to minimize the probability of interception, and the constraint conditions are radar mutual information and data information rate, that is to say, under the condition of certain mutual information threshold and data information rate threshold, the convex optimization method is used to optimize the design of OFDM shared signal waveform. The simulation results show that the interception probability can be effectively reduced by reducing the threshold value of mutual information and data information rate.","PeriodicalId":229425,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126732146","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
Research on Control Strategy of Vehicle Longitudinal Active Collision Avoidance System 车辆纵向主动避碰系统控制策略研究
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342112
Kaiyuan Wen, Chuqi Wu, Y. Liang, Zhexiang Zou
{"title":"Research on Control Strategy of Vehicle Longitudinal Active Collision Avoidance System","authors":"Kaiyuan Wen, Chuqi Wu, Y. Liang, Zhexiang Zou","doi":"10.1109/ICCECE51280.2021.9342112","DOIUrl":"https://doi.org/10.1109/ICCECE51280.2021.9342112","url":null,"abstract":"For the automobile collision avoidance system, Carsim and Simulink are used to establish the longitudinal dynamics model of the vehicle, and the active collision avoidance control strategy of the safe time interval algorithm is adopted to define the TTC thresholds and corresponding expected deceleration for different braking levels, which are established in Simulink Controller model based on safe time interval algorithm. In the Carsim and Simulink Co-simulation platform, the active collision avoidance control system is simulated and analyzed for three typical working conditions: the vehicle in front is stationary, the vehicle in front is slow, and the vehicle in front is brake. The simulation results show that the system can control at the specified safe time interval. Under the strategy, the vehicle state is actively controlled to realize the function of active collision avoidance, which has the characteristics of strong real-time, high safety and good execution.","PeriodicalId":229425,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124412803","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 programmable I/O buffer supported multiple differential standard based on 28nm technology 基于28nm技术的可编程I/O缓冲器，支持多种差分标准
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342119
Shuqi Zhen, Zhiping Wen, Lei Chen, Xuewu Li, Jie Ni
{"title":"A programmable I/O buffer supported multiple differential standard based on 28nm technology","authors":"Shuqi Zhen, Zhiping Wen, Lei Chen, Xuewu Li, Jie Ni","doi":"10.1109/ICCECE51280.2021.9342119","DOIUrl":"https://doi.org/10.1109/ICCECE51280.2021.9342119","url":null,"abstract":"This paper introduces a programmable I/O buffer that supports multiple differential standards. It is integrated in a 28nm process FPGA to implement the communication between the FPGA core and external circuits. Under different standards, its data transmission rate can reach 1.25Gbps. In the article, the design idea of important circuit modules that work with I/O buffer, such as single-ended to differential-ended module, and bias signal generation module are also introduced. On the other hand, because all circuit designs use 1.8V devices and the supply voltage of the supported differential standard is higher than 1.8V, it also has a voltage withstand function under 2.5V power supply. After the circuit design is completed, the layout is drawn. According to the simulation results, its function is correct and the transmission rate can reach the design value.","PeriodicalId":229425,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127464775","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
SuperVO: A Monocular Visual Odometry based on Learned Feature Matching with GNN 基于学习特征匹配与GNN的单目视觉里程测量
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342136
S. Rao
{"title":"SuperVO: A Monocular Visual Odometry based on Learned Feature Matching with GNN","authors":"S. Rao","doi":"10.1109/ICCECE51280.2021.9342136","DOIUrl":"https://doi.org/10.1109/ICCECE51280.2021.9342136","url":null,"abstract":"In this paper, we propose a novel Visual Odometry (VO) system using a feature detector and feature matcher based on neural networks. The networks for feature detectors and descriptors learning consists of a conventional CNN for feature detection and description, and a graph neural network (GNN) final feature matching. The learned feature has several advantages over traditional handcrafted features such as being robust to light variation and scale. By applying state-of-the-art deep learning-based feature Matcher-SuperGlue, we developed a new monocular VO framework which can exploit the advantages of deep learning-based feature detector and matcher, which performs better than many other learning-based VO methods.","PeriodicalId":229425,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128461166","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
The Mechanical Design of Aeronautical Satellite High-rate Data Emergent Transmission System Using Civil Satellite Resources 利用民用卫星资源的航空卫星高速数据应急传输系统的机械设计
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342242
Shiyun Yu, Wei Shi, Yahan Pan, Bing Liu
{"title":"The Mechanical Design of Aeronautical Satellite High-rate Data Emergent Transmission System Using Civil Satellite Resources","authors":"Shiyun Yu, Wei Shi, Yahan Pan, Bing Liu","doi":"10.1109/ICCECE51280.2021.9342242","DOIUrl":"https://doi.org/10.1109/ICCECE51280.2021.9342242","url":null,"abstract":"The aeronautical satellite broadband high-rate data communication systems have a great advantage over other communication methods in the extent of transmitting emergent information and are an ideal platform for emergent real time video transmission, incident investigation and exploration, disaster locating and rescuing, geographic resources research as well as remote monitoring. One key challenge of aeronautical satellite communication systems is how to perfectly design the airplane-born satellite equipments and effectively put these equipments with low aerodynamic resistance. This paper provides the system design of an aeronautical satellite high data rate transmission and gives the mechanical structure design and simulation analysis of such system. Simulation results show that although the airplane flight performance is a little affected by installing a set of transmitting equipment on the airplane, the airplane flight safety can be assured.","PeriodicalId":229425,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"411 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133687919","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 Military Event Detection Method Based on BERT-BiGRU-Attention 基于BERT-BiGRU-Attention的军事事件检测方法研究
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2021-01-15 DOI: 10.1109/ICCECE51280.2021.9342214
Yiwei Lu, Ruopeng Yang, Xuping Jiang, Changsheng Yin, Xiaoyu Song, Bo Liu
{"title":"Research on Military Event Detection Method Based on BERT-BiGRU-Attention","authors":"Yiwei Lu, Ruopeng Yang, Xuping Jiang, Changsheng Yin, Xiaoyu Song, Bo Liu","doi":"10.1109/ICCECE51280.2021.9342214","DOIUrl":"https://doi.org/10.1109/ICCECE51280.2021.9342214","url":null,"abstract":"Military event detection is one of the main tasks of military information extraction, which aims to identify event information in unstructured military text. Event detection is the first step of military event detection. Traditional military event detection methods are difficult to solve the problems of insufficient artificial features, inaccurate Chinese word segmentation in military field, and insufficient utilization of entity relationship features between sentences. Therefore, based on the pre-trained model (BERT), this paper proposes a military event detection method which combines BiGRU and attention mechanism. The language model is trained to construct a vector representation method combining word vector and position vector. BiGRU neural network is used to learn the above semantic features, and the attention mechanism is integrated to improve the expression ability of semantic features of sentences. This paper constructs a certain number of military text corpus. The experimental results show that our model improves the efficiency of military event detection compared with the traditional non attention model.","PeriodicalId":229425,"journal":{"name":"2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121329277","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
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