2022 3rd Asia Symposium on Signal Processing (ASSP)最新文献

Liver and Tumor Segmentation in Selective Internal Radiation Therapy 99mTc-MAA SPECT/CT Images using MANet and Histogram Adjustment 使用MANet和直方图调整的99mTc-MAA SPECT/CT图像在选择性内放疗中的肝脏和肿瘤分割

2022 3rd Asia Symposium on Signal Processing (ASSP) Pub Date : 2022-12-01 DOI: 10.1109/ASSP57481.2022.00018

Sukanya Saeku, Nut Noipinit, Kitiwat Khamwan, Punnarai Siricharoen

{"title":"Liver and Tumor Segmentation in Selective Internal Radiation Therapy 99mTc-MAA SPECT/CT Images using MANet and Histogram Adjustment","authors":"Sukanya Saeku, Nut Noipinit, Kitiwat Khamwan, Punnarai Siricharoen","doi":"10.1109/ASSP57481.2022.00018","DOIUrl":"https://doi.org/10.1109/ASSP57481.2022.00018","url":null,"abstract":"Selective Internal Radiation Therapy (SIRT) is a widely used radioembolization method for treating primary liver cancer and malignant neoplasms in the liver. Tumor-Liver ratio (TLR) is an important dosimetric parameter for SIRT treatment using 90Y-microspheres. TLR can be calculated from liver and tumor segmentation attained from 99mTc-MAA SPECT/CT. In this study, we propose Multi-Scale Attention U-Net (MANet) and histogram adjustment for accurate liver and tumor segmentation of CT and fused SPECT/CT images, respectively. MANet introduces the multi-scale strategy network to learn and fuse various semantic features from different scales. Histogram adjustment is used for handle normal and abnormal histogram distribution. Noisy-Student pre-trained weights which is learned from noisy images by data augmentation is used in our work. This pre-trained model helps generalize our model and improve overall segmentation performance. 3DIRCADb-01 public dataset is used along with our MAA CT images collected from King Chulalongkorn Memorial Hospital (KCMH) for liver segmentation, and MAA SPECT/CT dataset is used for tumor segmentation. Our proposed method can accurately segment liver, and tumor with DSC of 0.87, 0.65 and IoU of 0.82 and 0.54 respectively.","PeriodicalId":177232,"journal":{"name":"2022 3rd Asia Symposium on Signal Processing (ASSP)","volume":"226 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122372506","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

Complete Operating Deflection Shapes of an Excited Workpiece in Thermal Environments via an Improved Continuously Scanning Laser Doppler Vibrometer with a two-dimension Scan Scheme 利用改进的二维连续扫描激光多普勒振动计完成热环境下受激工件的工作挠度形状

2022 3rd Asia Symposium on Signal Processing (ASSP) Pub Date : 2022-12-01 DOI: 10.1109/ASSP57481.2022.00014

Yuhao Hu, Yatao Kang, Kaiping Yu, Weidong Zhu

{"title":"Complete Operating Deflection Shapes of an Excited Workpiece in Thermal Environments via an Improved Continuously Scanning Laser Doppler Vibrometer with a two-dimension Scan Scheme","authors":"Yuhao Hu, Yatao Kang, Kaiping Yu, Weidong Zhu","doi":"10.1109/ASSP57481.2022.00014","DOIUrl":"https://doi.org/10.1109/ASSP57481.2022.00014","url":null,"abstract":"Abstract—It is significant to optimize the efficiency and accuracy of operational modal analysis (OMA) in extreme operation. Modal parameters in thermal environments, especially complete operating deflection shapes (ODSs), was first reconstructed through an improved continuously scanning laser Doppler vibrometer (CSLDV) with a two-dimension scan (2D-S) scheme (CSLDV 2D-S) system. Before this work, the manual-moving laser Doppler vibrometer, which replaced heat resistant accelerometers, was used in thermal vibrational measurements to extract only a few dozens of measured points across the grid. Compared with a manual-moving laser Doppler vibrometer in thermal vibrational measurements, the CSLDV is able to sweep its laser spot along a scan path on the surface of a workpiece. An improved CSLDV 2D-S system is able to measure thousands of vibration points in a few seconds and reconstitute precise multi-ODSs through the demodulation method and arranging each single ODS according to the position of scan paths on the measured workpiece. Therefore, the complete ODSs can be meshed after interpolation, instead of rough mode shapes formed by the LDV.","PeriodicalId":177232,"journal":{"name":"2022 3rd Asia Symposium on Signal Processing (ASSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122537017","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

Polynomial Phase Signal-Based Modulation for Downlink NOMA 基于多项式相位信号的下行NOMA调制

2022 3rd Asia Symposium on Signal Processing (ASSP) Pub Date : 2022-12-01 DOI: 10.1109/assp57481.2022.00008

Xing Hao, Eli Hwang, G. Atkin

引用次数: 0

Research on the interactive design of mobile reading APP payment promotion based on hooked model--taking the iReader as an example 基于hook模型的移动阅读APP付费推广交互设计研究——以iReader为例

2022 3rd Asia Symposium on Signal Processing (ASSP) Pub Date : 2022-12-01 DOI: 10.1109/ASSP57481.2022.00021

Xiaoyu Zhuang, T. Jian

引用次数: 0

Research on Spatial Consistency of Echo Intensity of New Generation Weather Radar 新一代气象雷达回波强度空间一致性研究

2022 3rd Asia Symposium on Signal Processing (ASSP) Pub Date : 2022-12-01 DOI: 10.1109/assp57481.2022.00011

Li Yin, Fei Ye, Linwei Li

{"title":"Research on Spatial Consistency of Echo Intensity of New Generation Weather Radar","authors":"Li Yin, Fei Ye, Linwei Li","doi":"10.1109/assp57481.2022.00011","DOIUrl":"https://doi.org/10.1109/assp57481.2022.00011","url":null,"abstract":"Based on the CAPPI data of single grid point, this paper establishes the spatial consistency algorithm of adjacent radars, studies the spatial consistency of echo intensity on the equidistant line in the same observation area, and uses the radar data after strict quality control to study the horizontal consistency and vertical profile consistency of echo intensity on the equidistant line of adjacent radars, so as to verify the reliability of the spatial consistency algorithm. By analyzing the echo intensity of Zhoushan radar in Zhejiang Province, it is about 4dB lower than that of Hangzhou station and Ningbo Station, but the echo structure is relatively consistent. In order to realize the integration of spatial consistency algorithm on the national new generation weather radar business system, the national radar automatic matching program and contour plane automatic selection program are compiled, and the National Weather Radar spatial consistency evaluation standard is formulated, which makes it possible to evaluate the National Weather Radar Echo spatial consistency in real time. According to the trial operation effect of spatial consistency algorithm, it can detect the echo difference between adjacent radars in real time and efficiently, and give the evaluation results.","PeriodicalId":177232,"journal":{"name":"2022 3rd Asia Symposium on Signal Processing (ASSP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127751479","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

Integration of Machine Learning Methods into Agent-based Simulations for Predicting Evacuation Time in Disaster Scenarios 将机器学习方法整合到基于智能体的灾难情景疏散时间预测模拟中

2022 3rd Asia Symposium on Signal Processing (ASSP) Pub Date : 2022-12-01 DOI: 10.1109/ASSP57481.2022.00020

M. Abadeer, F. Ebeid, S. Gorlatch

{"title":"Integration of Machine Learning Methods into Agent-based Simulations for Predicting Evacuation Time in Disaster Scenarios","authors":"M. Abadeer, F. Ebeid, S. Gorlatch","doi":"10.1109/ASSP57481.2022.00020","DOIUrl":"https://doi.org/10.1109/ASSP57481.2022.00020","url":null,"abstract":"The behavior of people during an evacuation may have a significant impact on evacuation time, so it has been extensively studied using agent-based simulations. This paper aims to use machine learning for predicting agent evacuation time faster in advance, rather than waiting the entire simulation time. We use the well-known machine-learning polynomial regression as our prediction model, and linear regression and decision tree regression as our benchmark models. In order to generate a suitable dataset for training and validating our models, we automate the scenario-creation process from a single template scenario and the simulation output extraction process in the Vadere simulation framework. Our simulation experiments are carried out using the structure plan of the University of Münster's administrative building, with up to 100 agents located in a source room as individuals and in groups, attempting to find the shortest path to an exit. We significantly improve evacuation prediction using machine learning regression models in agentbased simulation experiments. Our polynomial regression model can predict evacuation time before the simulation begins, and the prediction results are close to the simulation results, with an average R2 score of 84%","PeriodicalId":177232,"journal":{"name":"2022 3rd Asia Symposium on Signal Processing (ASSP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130430219","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

Design of Intelligent Manufacturing Training Platform Combining Virtual and Real 虚实结合的智能制造培训平台设计

2022 3rd Asia Symposium on Signal Processing (ASSP) Pub Date : 2022-12-01 DOI: 10.1109/ASSP57481.2022.00023

Shuo Li

引用次数: 0

A 160 GBaud PAM-4 Analog Multiplexer in 0.13μm SiGe BiCMOS technology 采用0.13μm SiGe BiCMOS技术的160 GBaud PAM-4模拟复用器

2022 3rd Asia Symposium on Signal Processing (ASSP) Pub Date : 2022-12-01 DOI: 10.1109/ASSP57481.2022.00012

Chao Guo, Yingmei Chen, Y. Chen, Wentian Fan, En Zhu, Zhengfei Hu

引用次数: 0

Application of Computer Network Technology in Human Movement Recognition 计算机网络技术在人体运动识别中的应用

2022 3rd Asia Symposium on Signal Processing (ASSP) Pub Date : 2022-12-01 DOI: 10.1109/ASSP57481.2022.00019

Yulun Liu

引用次数: 0

The Relationship Between Time Reversal and Multipath 时间反转与多径的关系

2022 3rd Asia Symposium on Signal Processing (ASSP) Pub Date : 2022-12-01 DOI: 10.1109/ASSP57481.2022.00009

Zhaoming Zhang, Bo Zhao, Yang Sun, Wanli Lu, Wenjing Zhao

引用次数: 0