2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)最新文献_第8页

Inter-slice Resource Dynamic Allocation Algorithm for B5G Services B5G业务的片间资源动态分配算法

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2023-04-14 DOI: 10.1109/CISCE58541.2023.10142485

Hua Qu, Siyan Wang, Ji-hong Zhao, Lin Mao

引用次数: 0

Small-target water-floating garbage detection and recognition based on UNet-YOLOv5s 基于UNet-YOLOv5s的小目标浮水垃圾检测与识别

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2023-04-14 DOI: 10.1109/CISCE58541.2023.10142409

Longxuan Ma, Baijing Wu, Jianwei Deng, Jing Lian

{"title":"Small-target water-floating garbage detection and recognition based on UNet-YOLOv5s","authors":"Longxuan Ma, Baijing Wu, Jianwei Deng, Jing Lian","doi":"10.1109/CISCE58541.2023.10142409","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142409","url":null,"abstract":"To address the problem of low recognition accuracy caused by the interference of illumination, water waves and complex backgrounds in the process of detecting and recognizing small-target of water-floating garbage, a water-floating garbage recognition algorithm that fuses image semantic segmentation network and target detection network is proposed. Firstly, using UNet network, the water floating garbage is segmented from the complex background and the image is cropped into a uniform size image. Then, a dark channel prior algorithm is used for noise removal, which cuts down the interference of illumination and water waves. Finally, eight categories of water floating garbage are defined from the perspective of the relationship between the degree of contamination and recyclability of water-floating garbage, and according to this classification, the improved YOLOv5s network is trained to achieve the detection and recognition of water-floating garbage. The results show that the proposed algorithm has 89.80% detection and recognition accuracy, 85.76% recall and 87.73% F1score, which can effectively improve the detection and recognition accuracy of water-floating garbage and provide a new and effective method for the management of water-floating garbage.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123800544","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 ship data analysis based on Spark platform 基于Spark平台的船舶数据分析研究

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2023-04-14 DOI: 10.1109/CISCE58541.2023.10142435

Yujuan Zou, Juan Zhang, P. Tang, Taizhi Lv

{"title":"Research on ship data analysis based on Spark platform","authors":"Yujuan Zou, Juan Zhang, P. Tang, Taizhi Lv","doi":"10.1109/CISCE58541.2023.10142435","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142435","url":null,"abstract":"Water transportation is a transportation mode with ships as the main means. China is one of the most important shipping countries in the world and the largest shipbuilding country. Ship basic data is the core of management by maritime regulatory authorities at all levels. With the development of the new generation of information technology, the shipping industry has entered the 4.0 era. It puts forward higher requirements for maritime supervision. In order to improve the level of maritime supervision and enable maritime management departments to timely grasp ship information, a ship data analysis platform based on Spark platform is designed and implemented. The platform extracts data from the business database into the Hive data warehouse through Sqoop, analyzes ship data through the Spark distributed computing platform, stores the analysis results in the MySQL database, extracts ship basic data from the database through the Spring Boot framework, obtains JSON data transmitted in the background using Axios, binds data through Vue.js, and displays charts through Echarts and Mapbox.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125218265","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

Digital Domain Self-Interference Cancellation Based on Modified Variable Step-Size LMS Algorithm 基于改进变步长LMS算法的数字域自干扰消除

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2023-04-14 DOI: 10.1109/CISCE58541.2023.10142735

Jianjun Chu, Yanqun Tang, Yu Zhou

{"title":"Digital Domain Self-Interference Cancellation Based on Modified Variable Step-Size LMS Algorithm","authors":"Jianjun Chu, Yanqun Tang, Yu Zhou","doi":"10.1109/CISCE58541.2023.10142735","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142735","url":null,"abstract":"As one of the key technologies of 6G, co-time co-frequency full duplex (CCFD) technology can more effectively utilize the spectrum and hardware resources of the radio system. However, the biggest challenge of this technology is how to cancel out the self-interference (SI) between the transmitter and receiver. In this paper, a time-varying least mean square (LMS) digital domain self-interference cancellation (SIC) algorithm with step-size parameters gradually decreasing with time is proposed. Our modified variable step-size LMS (M-VSLMS) algorithm establishes a new nonlinear function relationship between the step-size factor and the error signal, and controls the step-size factor to be updated by using the autocorrelation time mean of the error signal. The simulation results show that the proposed algorithm enhances the interference cancellation ratio (ICR), speeds up the convergence rate, and improves the abilities of channel tracking and anti-interference. Compared with the traditional variable step-size LMS algorithm, it improves the digital domain ICR by more than 2 dB and the convergence speed is increased by more than twice.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121817683","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

Doppler Principle Based Situational Awareness Method for Autonomous Driving 基于多普勒原理的自动驾驶态势感知方法

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2023-04-14 DOI: 10.1109/CISCE58541.2023.10142843

Y. Hu

{"title":"Doppler Principle Based Situational Awareness Method for Autonomous Driving","authors":"Y. Hu","doi":"10.1109/CISCE58541.2023.10142843","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142843","url":null,"abstract":"Situational awareness is a critical connection in autonomous driving, which is now based on a combination of technologies. Camera, lidar, radar and ultrasonic sensors are the most commonly used modality for this task. Among them, lidar has the highest accuracy within 200 m and becomes the main input module for environmental perception. Nevertheless, lidar has defects of large size, high cost, high energy consumption, and accuracy is affected by the weather environment. To overcome the challenge, this paper proposes a situational awareness method for autonomous driving based on the Doppler principle, which is a help and supplement to the onboard radar. Specifically, five 24 GHz speed sensors are used to measure the Doppler speed of the vehicle in relative motion on the horizontal road surface, and the three-dimensional position coordinates of the vehicle and the two-dimensional speed of the horizontal plane can be calculated by a joint observation. Another 24 GHz speed sensor assists in distinguishing each target, judging the vehicle model, and predicting the possible movement of nearby vehicles. Experiment results illustrate that the measurement errors of the prototype system designed according to this paper are in line with experiment expectations, which proves the feasibility of Doppler radar for situational awareness.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"18 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122407676","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

Stack Data Protection Mechanism for LLVM Intermediate Representation LLVM中间表示的堆栈数据保护机制

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2023-04-14 DOI: 10.1109/CISCE58541.2023.10142426

Weixia Li, Zhuohua Liu

引用次数: 0

Fusion of Millimeter-Wave Radar and Camera Vision for Pedestrian Tracking 毫米波雷达与相机视觉融合行人跟踪

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2023-04-14 DOI: 10.1109/CISCE58541.2023.10142444

Chao Yang, Sha Huan, Limei Wu, Qiaogang Weng, Wenxin Xiong

引用次数: 0

Research on Positive Emotion Recognition Based on EEG Signals 基于脑电图信号的积极情绪识别研究

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2023-04-14 DOI: 10.1109/CISCE58541.2023.10142342

Xuan Chen, Wenjian Liu

{"title":"Research on Positive Emotion Recognition Based on EEG Signals","authors":"Xuan Chen, Wenjian Liu","doi":"10.1109/CISCE58541.2023.10142342","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142342","url":null,"abstract":"Human logical decision-making, perception, learning, and many functions, which influence people's decision-making on things and perception of external things, are all significantly influenced by emotions. An essential component of emotional computing is emotional cognition. By examining the psychological and psychological traits of the client, it evaluates the psychological condition of the service object. Currently, most of the research on emotions based on electroencephalogram (EEG) signals focuses on classifying positive, neutral, and negative emotions, or studying negative emotions, with less attention paid to specifically identifying positive emotions. This experiment proposed an experimental design that utilized virtual reality technology as an inducing method to stimulate positive emotions, and identified and evaluated the emotions of happiness, desire, and healing. This experiment collected datasets on three positive emotions of happiness, desire, and healing, and collected the Positive Affect and Negative Affect Scale (PANAS) and self-assessment (SAM) form of the participants. Divided the experiment into two groups, one was the experimental group wearing VR, and the other was the experimental group not wearing VR. The immersion feeling scale was used to study the effect of VR on stimulating emotions. Through the design of emotion induction experiments, the EEG signals of experiencing happiness, desire, and healing were collected. The EEG signals were input into a CNN network for feature extraction, both in the form of images and time series. The Resnet18 network was used for image-based emotion recognition with an accuracy of 93%. The time-series data was processed using an LSTM network for emotion recognition with an accuracy of 94.9%.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116556425","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 Fully Differential Multi-bit MDAC Modeling with Multiple Linear Regression Calibration 基于多元线性回归校准的全差分多比特MDAC模型

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2023-04-14 DOI: 10.1109/CISCE58541.2023.10142448

Jingwu Gong, Suzhen Cheng, Nan Liu, Peng Ding, Zhanqiang Ru, Helun Song

引用次数: 0

Research on Cow Behavior Recognition Based on Improved SlowFast with 3DCBAM 基于改进慢速3DCBAM的奶牛行为识别研究

2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE) Pub Date : 2023-04-14 DOI: 10.1109/CISCE58541.2023.10142771

Yaping Zhang, Mayire Ibrayim, A. Hamdulla

引用次数: 1