2022 5th International Conference on Information Communication and Signal Processing (ICICSP)最新文献

Design and Development of Insurance System Based on PoW Consensus Algorithm 基于PoW共识算法的保险系统设计与开发

2022 5th International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2022-11-26 DOI: 10.1109/ICICSP55539.2022.10050543

Qing Zhang, Xinyu Yao, Wenjing Zhang, Yingchuan Yang, Ya Xu, Chao-Hsien Hsieh

{"title":"Design and Development of Insurance System Based on PoW Consensus Algorithm","authors":"Qing Zhang, Xinyu Yao, Wenjing Zhang, Yingchuan Yang, Ya Xu, Chao-Hsien Hsieh","doi":"10.1109/ICICSP55539.2022.10050543","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050543","url":null,"abstract":"Since the outbreak of the epidemic, people not only need to pay attention to their own safety and health, but also need insurance services to protect themselves. However, there are some problems in the traditional insurance system. First, the information of clients is incomplete or untrue. Second, privacy is compromised. Third, transaction information is tampered with. These problems lead to various insurance disputes. Therefore, this paper develops an insurance system based on blockchain by using the characteristics of decentralization, transparency, and immutability. The construction of the system is divided into three steps. First, insurance contracts are published on the Merkel tree. Next, RSA encryption technology is used to protect clients' information security. Last, SHA256 secure hash algorithm and consensus mechanism are used to resist the external attack of the blockchain. On this basis, this paper designs and develops a safe insurance system. Also, it studies the performance of insurance systems and the consensus mechanism of blockchain. The former compares the differences between the traditional insurance system and the blockchain insurance system in each performance index during operation. The result shows that some performance indices of blockchain insurance system are lower than those of traditional insurance system. However, because of its higher security than traditional insurance system, blockchain technology is selected as the core technology of this system. Also, two consensus algorithms, PoW and PBFT, compares with each other in blockchain technology. The experimental results show that the PoW consensus algorithm is more suitable for blockchain insurance system.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125887590","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

HuZhouSpeech: A Huzhou Dialect Speech Recognition Corpus 湖州语音:湖州方言语音识别语料库

2022 5th International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2022-11-26 DOI: 10.1109/ICICSP55539.2022.10050614

Yejin Wang, Maonian Wu, Bo Zheng, Shaojun Zhu

引用次数: 1

Vital Signs Monitoring Using FMCW Millimeter-Wave Sensor via Simulated Annealing MUSIC Algorithm 基于模拟退火MUSIC算法的FMCW毫米波传感器生命体征监测

2022 5th International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2022-11-26 DOI: 10.1109/ICICSP55539.2022.10050643

Yuqi Wang, Xianpeng Wang, Xiang Lan, Zhiguang Han

引用次数: 1

A Fast Two-Parameter CFAR Algorithm Based on FFT for Ship Detection in Large-Scale SAR Images 基于FFT的大尺度SAR图像船舶检测快速双参数CFAR算法

2022 5th International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2022-11-26 DOI: 10.1109/ICICSP55539.2022.10050663

Can Yao, C. Li, Xue Jin, Lei Zhang

{"title":"A Fast Two-Parameter CFAR Algorithm Based on FFT for Ship Detection in Large-Scale SAR Images","authors":"Can Yao, C. Li, Xue Jin, Lei Zhang","doi":"10.1109/ICICSP55539.2022.10050663","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050663","url":null,"abstract":"Ship target detection in synthetic aperture radar (SAR) images via the classical constant false alarm rate (CFAR) algorithm is an important technique. However, each pixel in local sliding window detection is involved in parameter estimation multiple times, which leads to computational inefficiency, especially for large-scale SAR images. To solve the above issue, this paper proposes a fast two-parameter CFAR algorithm based on fast Fourier transform (FFT), named F2T-CFAR. First, FFT is employed to replace the sliding window detection and statistical properties are obtained by global computation. Second, we extract potential target points from the global detection results by threshold decision and subsequently cluster these potential points using the density-based spatial clustering of applications with noise (DBSCAN) algorithm to obtain the final ship target centers. Our F2T-CFAR significantly improves the computational speed compared to the two-threshold CFAR method. Experiments on the measured large-scale SAR images demonstrate the effectiveness of our F2T-CFAR algorithm.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"84 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122378020","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

A Multiple Measurement Vector-Based Deep Unfolded Network for One-bit DOA Estimation 基于多测量向量的深度展开网络位DOA估计

2022 5th International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2022-11-26 DOI: 10.1109/ICICSP55539.2022.10050677

Mengchao Zhan, Feng Xi, Shengyao Chen

引用次数: 0

Modulation Recognition Method of Communication Signal Based on CNN-LSTM Dual Channel 基于CNN-LSTM双信道的通信信号调制识别方法

2022 5th International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2022-11-26 DOI: 10.1109/ICICSP55539.2022.10050630

Yanjie Ren, Xiaogang Tang, Binquan Zhang, Junhao Feng, Minghui Gao

{"title":"Modulation Recognition Method of Communication Signal Based on CNN-LSTM Dual Channel","authors":"Yanjie Ren, Xiaogang Tang, Binquan Zhang, Junhao Feng, Minghui Gao","doi":"10.1109/ICICSP55539.2022.10050630","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050630","url":null,"abstract":"Considering the problem of low recognition rate and a large number of parameters in end-to-end modulation recognition methods based on deep learning, a CNN-LSTM dual channel(DCNN-LSTM) modulation recognition method based on the combination of Convolutional Neural Network (CNN) and Long Short-Term Memory(LSTM) network is proposed in this paper. Firstly, the proposed method extracts the frequency domain features of the IQ signal using one-dimensional convolution in the CNN channel and the time-domain features of the transformed AP data of the IQ signal in the LSTM channel. Then, fusing the features of the two channels by the Concatenate operation and convolution layer. Finally, the method uses Global Average Pooling (GAP) instead of Flatten, which integrates the feature information of the vectors without additional parameters. Experimentally, the number of parameters of the proposed method is respectively reduced by 98.4%, 77.8%, and 88.9% compared with CNN, LSTM, and SCRNN, while the recognition rate is respectively improved by 9.7%, 3.3%, and 0.4%. The method proposed in this paper has theoretical reference value for the research field of communication modulation signal recognition, and engineering reference significance for the study of the intelligent classification of spatial signals in complex environments.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122050925","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

Robust Deconvolution of Underwater Acoustic Channels Corrupted by Impulsive Noise 受脉冲噪声干扰的水声信道鲁棒反卷积

2022 5th International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2022-11-26 DOI: 10.1109/ICICSP55539.2022.10050612

Siyuan Cang, Xueli Sheng, A. Jakobsson, Huayong Yang

引用次数: 0

A Novel Path Recommendation Algorithm for Efficient and Secure Government Affairs System 一种高效安全的政务系统路径推荐算法

2022 5th International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2022-11-26 DOI: 10.1109/ICICSP55539.2022.10050645

Xinyun Yao, Yubo Song, Xingmin Zou, Qi Lu, Chao-Hsien Hsieh

{"title":"A Novel Path Recommendation Algorithm for Efficient and Secure Government Affairs System","authors":"Xinyun Yao, Yubo Song, Xingmin Zou, Qi Lu, Chao-Hsien Hsieh","doi":"10.1109/ICICSP55539.2022.10050645","DOIUrl":"https://doi.org/10.1109/ICICSP55539.2022.10050645","url":null,"abstract":"Government organizations are digitizing their services. The purpose is to improve efficiency and provide better services for users. But, every platform is inefficient to connect with each other so far. Therefore, with the characteristics of resource sharing, fast computing speed, and high reliability of distributed system, this paper develops a security and efficient government affairs system with a novel path recommendation algorithm. The purpose is to recommend appropriate government agency for offline affair of user. The algorithm contains three functions, distance priority, time priority, and mixed average priority. Then, the system recommends the appropriate standard by comparing the total cost of the three functions. However, this paper retrieves the location of real government departments and then generates users with uniform distribution for simulation experiments. There are some specific experimental results in this paper. First, as the user interval is smaller, the proportion gap between government agencies receiving users is getting smaller as well. Second, as the user interval is large, moderate, and small, the system then will select distance priority function, time priority function, mixed average priority function for recommendation, respectively.","PeriodicalId":281095,"journal":{"name":"2022 5th International Conference on Information Communication and Signal Processing (ICICSP)","volume":"304 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129857520","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 Beamforming and Power Allocation in IRS-BASED NOMA System 基于irs的NOMA系统波束形成与功率分配研究

2022 5th International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2022-11-26 DOI: 10.1109/ICICSP55539.2022.10050568

Yirui Guo, Jun Zou, Guangzu Liu, Lin Guo

引用次数: 0

An Equivalent Source Method Based on Sound Pressure Differential Filter for Particle Velocity Reconstruction 基于声压差滤波的粒子速度重建等效源方法

2022 5th International Conference on Information Communication and Signal Processing (ICICSP) Pub Date : 2022-11-26 DOI: 10.1109/ICICSP55539.2022.10050683

Daofang Feng, Wei Pan, Anlai Mao, Bingjian Jin, Yuanwen Li, Min Li

引用次数: 0