{"title":"Unsynchronized Multi- array Joint Automatic Detection","authors":"Di Huang, Xiangrong Zhu, Peilin Su, Jieqi Zhu","doi":"10.1109/CISCE58541.2023.10142525","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142525","url":null,"abstract":"Aiming at the problem of how to use multiple non-synchronous base array joint detection to improve the performance of passive automatic detection, this paper analyzes the functional relationship of detection probability, false alarm probability, input signal-to-noise ratio and integration time in the case of single-array detection, and proposes Under the condition of given detection probability and false alarm probability, the joint detection strategy of each single-array detection threshold is solved with the goal of increasing the action distance or shortening the processing time. Through simulation experiments, it is verified that the joint detection strategy can improve the detection performance under certain conditions, and the joint detection strategy is obtained. The relationship between the improvement of detection performance and the difference in detection capability and detection probability of arrays provides technical reference for multi-node or multi-array automatic detection of unmanned platforms such as UUVs, submersible buoys, and buoys.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"40 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":"114797783","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}
{"title":"Research on ship target detection based on improved YOLOv5 algorithm","authors":"Alun Zhang, Xia Zhu","doi":"10.1109/CISCE58541.2023.10142528","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142528","url":null,"abstract":"Aiming at the problem that the YOLOv5 algorithm has low detection accuracy for small targets and is prone to missed detection and false detection, this paper proposes an improved YOLOv5 algorithm by introducing the coordinate attention mechanism and the bidirectional feature pyramid network for effective waterborne ship detection. This method aims to improve the detection accuracy of waterborne targets. In this study, we focus on constructing a dataset of waterborne ship ships, modifying the YOLOv5 algorithm, and using the PyTorch framework for experiments to evaluate the performance of the proposed method. The experimental results show that the average accuracy of the improved detection algorithm is 99.1%, which is 3.3% higher than that of the original YOLO v5.","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":"130311182","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}
{"title":"An Improved Positioning and Ranging RSSI Algorithm","authors":"Y. Qian, Nana Shan","doi":"10.1109/CISCE58541.2023.10142756","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142756","url":null,"abstract":"Based on the shadowing model, this paper uses the least-squares method to fit the environment parameters, and at the same time makes a weighted Gaussian improvement on the measured RSSI data. Finally, the improved trilateral measurement positioning algorithm is used to locate the target node. The experimental results show that this algorithm is less affected by the environmental factors, and has higher accuracy than the traditional RSSI positioning algorithm. It can be used in wireless sensor networks.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"100 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":"115514333","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}
{"title":"A Multi-mission Payload Unmanned Surface Vehicle System","authors":"Er-Lei Li, Zuopeng Zhou, Zhiqin Zhang","doi":"10.1109/CISCE58541.2023.10142595","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142595","url":null,"abstract":"In recent years, with the rapid development of science and technology towards information and intelligence, unmanned war mode is gradually becoming the new trend of future war development. In the unmanned system architecture, USV is an important cross domain node of air, ground, sea and submarine stereoscopic unmanned combat system, and has become the focus of research in various countries in recent years. Firstly, this paper introduces the domestic and foreign research status of USV system; Then, the composition and logic architecture of a multi-mission payload USV system proposed in this paper are introduced in detail; Finally, the sea experiment is conducted for the satellite navigation failure environment and sonar underwater target detection. The experimental results show that the positioning error can be kept below 0.138% for the satellite navigation failure environment(Using GPS positioning data on the evaluation system as the true value), and the false alarm rate can be reduced by 9.3% in the joint detection of underwater targets with forward looking and side scanning sonar.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"12 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":"128685422","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}
{"title":"A W-Band Wideband Power Amplifier with 18.3 dBm Psat and 15.4% PAE in 130-nm SiGe BiCMOS","authors":"Jialong Wan, Jiang Luo, Han Sun, Shi Chen, Jin He","doi":"10.1109/CISCE58541.2023.10142311","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142311","url":null,"abstract":"This paper presents a two-stage wideband W-band power amplifier (PA) designed in 130 nm SiGe BiCMOS technology. By employing the gain-distribution technique, the PA delivers a flat gain response over a wide bandwidth (BW). The proposed PA achieves high saturated output power $(P_{mathrm{s}mathrm{a}mathrm{t}})$ and power-added efficiency (PAE) by paralleling multiple small-sized transistors. According to the simulated results, the PA exhibits a peak gain of 22.3 dB at 88 GHz with a 3-dB BW of 29.2 GHz. At 94 GHz, the simulated $P_{mathrm{s}mathrm{a}mathrm{t}}$ and the peak PAE are 18.3 dBm and 15.4%, respectively. Such performances are excellent for a single-ended PA based on the SiGe heterojunction bipolar transistor (HBT). The small chip size of the PA, including all testing pads, is only $500times 620mu mathrm{m}^{2}$.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"11 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":"129829771","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}
{"title":"A Cloud-Edge Framework for Video Stream Analysis using Macroblock Partitioning","authors":"Jie Duan, Wei Gu, Shujvan Zhang, Xin Gong","doi":"10.1109/CISCE58541.2023.10142809","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142809","url":null,"abstract":"Deep neural networks (DNNs) have become the state-of-the-art solution for video stream analysis, but their high delay poses a challenge in meeting real-time requirements. Existing research focuses on compressing video while retaining enough information for server-side DNNs to perform high-precision inference. However, this approach can only reduce network transmission delay and may not be optimal for massive video analysis requests. This paper proposes a Cloud-Edge collaborative Video Analysis (CEVA) framework that uses depth estimation technology to divide the inference difficulty of different macroblocks in the video and offload them to edge and cloud servers for inference. Experimental results on the VisDrone dataset demonstrate that CEVA outperforms server-side feedback-driven methods in inference accuracy and reduces waiting delay by an average of 264 milliseconds. Compared to traditional offloading methods, CEVA doubles accuracy and increases the average delay by less than 100 milliseconds.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"28 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":"131259317","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}
{"title":"Based on Improved Single Shot MultiBox Detector construction site Helmet Detection Algorithm","authors":"Hua-wei Zhan, Xinyu Pei","doi":"10.1109/CISCE58541.2023.10142555","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142555","url":null,"abstract":"For the existing engineering construction now the worker's helmet wear detection method consumes labor and time and also easy miss detection problems, to protect the safety of construction site personnel, proposed an improved Single Shot MultiBox Detector(SSD) helmet wear detection algorithm. First, the backbone network with Resnet-50 model instead of VGG-16 is used as the SSD algorithm, and the residual structure in Resnet can improve the feature extraction ability of the network; CA (Coordinate Attention) module is added before the feature layer enters the prediction to enhance the capture of localization information of the target. The experimental results show that the average accuracy (mAP) of the improved algorithm can reach 94.5% on the homemade helmet data set, which is 4.49 percentage points higher than the original algorithm, and can meet the accuracy requirements of helmet-wearing detection under construction sites.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"23 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":"126474485","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}
{"title":"A 3D Object Detection Algorithm Based on Improved EPNet","authors":"Jiwu Tang, Xianzhao Zhu, D. Yin","doi":"10.1109/CISCE58541.2023.10142760","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142760","url":null,"abstract":"Early 3D object detection algorithms focused on using a single sensor. However, with the development of target detection technology, the target detection algorithm based on multi-sensor fusion has gradually entered people's field of vision. In this paper, we improve the EPNet algorithm based on image and point cloud fusion. In its image stream branch, due to its relatively simple image upsampling method, most of the image information will be lost, which reduces the detection accuracy. Therefore, the method of combining the feature pyramid network with the coordinate attention mechanism is used to make up for the problem. Extensive experiments on the KITTI datasets demonstrate this method is good.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"5 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":"126115847","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}
Zixin Liu, Dongcheng Yan, Enhua Zhang, Kaizhi Wang
{"title":"Design of Cutting Positive and Negative Coding Based on Linear Frequency Modulation","authors":"Zixin Liu, Dongcheng Yan, Enhua Zhang, Kaizhi Wang","doi":"10.1109/CISCE58541.2023.10142885","DOIUrl":"https://doi.org/10.1109/CISCE58541.2023.10142885","url":null,"abstract":"Because of its long signal duration and duty cycle of 1, compared to traditional pulse radar,FMCW radar no longer requires high peak transmit power,which reduces the design difficulty of radar transmitters. This article is a combination of FMCW and synthetic aperture radar, Through the cutting and recombination of FM continuous wave, Through the cutting and recombination of FMCW, The signal code group with excellent orthogonality and cross-correlation can be obtained. Through simulation, it can be verified that the code group has good characteristics.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"199 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114029672","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}