发布求助
文献互助 智能选刊 最新文献

2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)最新文献

筛选
英文 中文
H-BTC Database: A Brief Review on Halftone based Block Truncation Coding (H-BTC) Images H-BTC数据库:基于半色调的块截断编码(H-BTC)图像综述
2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2019-12-01 DOI: 10.1109/ISPACS48206.2019.8986366
Jing-Ming Guo, Sankarasrinivasan Seshathiri
{"title":"H-BTC Database: A Brief Review on Halftone based Block Truncation Coding (H-BTC) Images","authors":"Jing-Ming Guo, Sankarasrinivasan Seshathiri","doi":"10.1109/ISPACS48206.2019.8986366","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986366","url":null,"abstract":"Halftone based block truncation coding images (H-BTC) are the improved version of BTC images which can offer superior representation and enhanced image quality. The application of the H-BTC images range from image compression and retrieval, indexing, reconstruction, classification and so on. In this paper, a brief introduction to various H-BTC images is presented and their evaluation is carried out in terms of image quality and computational demand. Further, the application prospective of the H-BTC images are also provided. The developed H-BTC database comprises of 30K images comprising of the five types of H-BTC images in which three categories are constructed based on digital halftoning and two types are based on digital multitoning. The database would be very useful to carry out deep learning research and various image processing tasks. The database along with its source code will be made open source for the research and academic purpose.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"51 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74310507","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
Rehabilitation Seat Cushion System 康复坐垫系统
2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2019-12-01 DOI: 10.1109/ISPACS48206.2019.8986391
M. Ke, P. Su, Y. Hsueh, Yen-Chin Lin, Hsiang-Lung Huang, Yu-Jhang Wu, Jyun-Jhe Chen, Yilun Zhong
{"title":"Rehabilitation Seat Cushion System","authors":"M. Ke, P. Su, Y. Hsueh, Yen-Chin Lin, Hsiang-Lung Huang, Yu-Jhang Wu, Jyun-Jhe Chen, Yilun Zhong","doi":"10.1109/ISPACS48206.2019.8986391","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986391","url":null,"abstract":"A rehabilitation seat cushion system is developed for wheelchair user in this work. The system includes a sitting posture tilt reminder, a slide warning and a real-time feedback rehabilitation training software. The sensor of the system can be battery-powered. This system can detect whether there is a tilt in the sitting position of the wheelchair user and also can give an immediate warning notice when the user slips off the wheelchair. When the user is leaning to left or right for more than a certain period of time, the system will send a warning signal to remind the user to adjust the sitting posture. In addition, a software is provided for users to conduct related training, where the training intensity can be increased to achieve better effects of rehabilitation.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"29 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81181414","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
Zero-Phase Impulsive Noise Suppression with Iterative Phase Reconstruction 基于迭代相位重构的零相位脉冲噪声抑制
2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2019-12-01 DOI: 10.1109/ISPACS48206.2019.8986238
A. Ishibashi, A. Kawamura
{"title":"Zero-Phase Impulsive Noise Suppression with Iterative Phase Reconstruction","authors":"A. Ishibashi, A. Kawamura","doi":"10.1109/ISPACS48206.2019.8986238","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986238","url":null,"abstract":"This paper proposes a zero-phase impulsive noise suppression method with an iterative phase reconstruction. A zero-phase signal is obtained as IFFT of FFT spectral amplitude, and the impulsive noise suppression is achieved on the zero-phase domain. So, the zero-phase impulsive noise suppression is a process of the FFT spectral amplitude, and the spectral phase is unprocessed. To improve the noise suppression capability, we introduce an iterative phase reconstruction method to the zero-phase impulsive noise suppressor. The iterative phase reconstruction generates spectral phase with no contradiction on FFT overlap-add method. Simulation results showed that the introduced iterative phase reconstruction improves PESQ value in comparison to the conventional zero-phase method.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"17 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81282563","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
RSSI Measurement with Channel Model Estimating for IoT Wide Range Localization using LoRa Communication 基于LoRa通信的物联网广域定位RSSI测量与信道模型估计
2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2019-12-01 DOI: 10.1109/ISPACS48206.2019.8986229
Yi-Cheng Lin, Chi-Chia Sun, Kuo-Ting Huang
{"title":"RSSI Measurement with Channel Model Estimating for IoT Wide Range Localization using LoRa Communication","authors":"Yi-Cheng Lin, Chi-Chia Sun, Kuo-Ting Huang","doi":"10.1109/ISPACS48206.2019.8986229","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986229","url":null,"abstract":"Due to the technology of the Internet of Things (IoT) is rising in recent years, there are many popular applications in different fields. The development of network technology is growing for the trend toward wider coverage range and lower power consumption. LoRa system is one of the most popular IoT communication methods in Low Power Wide Area Network (LPWAN) as an auxiliary role of IoT to assist the transmission between devices in various applications. In order to provide more received information for the smart applications of IoT, the positioning technology to obtain the location information of the devices is necessary. However, GPS singles consumes too much energy for IOT devices, they are conflict to each. In this paper, we proposed a channel model estimating method to improve the conventional RSSI based distance measurement way in LoRa system accuracy up to same level of TDOA based system in wide rang localization applications.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"5 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86284909","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: 5
An Enhanced Method for Turbo Code Interleavers Turbo码交织器的一种改进方法
2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2019-12-01 DOI: 10.1109/ISPACS48206.2019.8986335
Shou-Sheu Lin, Sun-ting Lin, Yu-Cheng Li
{"title":"An Enhanced Method for Turbo Code Interleavers","authors":"Shou-Sheu Lin, Sun-ting Lin, Yu-Cheng Li","doi":"10.1109/ISPACS48206.2019.8986335","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986335","url":null,"abstract":"Design of interleaver for turbo codes to achieve excellent BER performance is a very difficult task. The brute-force searching method is not only time-consuming but also impractical due to extreme large of search space. To reduce the design complexity while maintaining the performance, we propose a bubble-sort like method to generate the new interleaver candidate which is a swapped sequence from a baseline interleaver. The distance spectrum is used as the BER evaluation tool to select the best interleaver from a limited search space. Simulation results show that the proposed design method can improve the performance effectively for generic interleavers.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"388 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86822243","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
Distributed compressed video sensing based on convolutional sparse coding 基于卷积稀疏编码的分布式压缩视频感知
2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2019-12-01 DOI: 10.1109/ISPACS48206.2019.8986358
Tomohito Mizokami, Y. Kuroki
{"title":"Distributed compressed video sensing based on convolutional sparse coding","authors":"Tomohito Mizokami, Y. Kuroki","doi":"10.1109/ISPACS48206.2019.8986358","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986358","url":null,"abstract":"This paper discusses a Distributed Compressed Video Sensing (DCVS) framework using Convolutional Sparse Coding (CSC). CSC is a technique to represent a signal as convolutions of filters and corresponding coefficients. Conventional block based DCVS methods divide a given video sequence into key and non-key frames. The key frames are decoded independently like still images, and the non-key frames use Side Information (SI) generated with previously decoded key frames. The sparse dictionaries of the non-key frames are designed with the SIs. However, in CSC based methods, a non-key frame can use the dictionary of the nearest key frame in the temporal domain since the dictionary filters, namely features, are robuster against motions than those of block based methods.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"20 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84244292","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 Spur-Suppression Technique for Frequency Synthesizer with Pulse-Width to Current Conversion 脉宽电流转换频率合成器的杂散抑制技术
2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2019-12-01 DOI: 10.1109/ISPACS48206.2019.8986294
Po-Yu Hsieh, Shao-Yu Shu, Ching-Yuan Yang
{"title":"A Spur-Suppression Technique for Frequency Synthesizer with Pulse-Width to Current Conversion","authors":"Po-Yu Hsieh, Shao-Yu Shu, Ching-Yuan Yang","doi":"10.1109/ISPACS48206.2019.8986294","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986294","url":null,"abstract":"A pulse-width to current conversion circuit is adopted to suppress reference frequency spurious tone of frequency synthesizer. Propose pulse-width to current conversion technique convert pulse-width of input clock signal to modulated output current. This characteristic of pulse-width sensing applies to replace conventional charge-pump of phase-lock loop. Continuous and linear output current improve the reference frequency spur, which results from non-ideal effect of charge-pump. Proposed frequency synthesizer is fabricated with TSMC 0.18µm CMOS process and operation frequency is between 5.12 GHz and 5.28 GHz under the channel width of 10 MHz. The total power consumption is 23 mW without output buffer. The measured output spurious tone is −48.21 dBm and phase noise performance is −102 dBc/Hz at 1 MHz offset.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"8 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84244880","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
Proposal of BSS method to separate the respiratory sound and the heart sound 提出了一种分离呼吸音和心音的BSS方法
2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2019-12-01 DOI: 10.1109/ISPACS48206.2019.8986389
Yuki Kubota, Minoru Komatsu, H. Matsumoto
{"title":"Proposal of BSS method to separate the respiratory sound and the heart sound","authors":"Yuki Kubota, Minoru Komatsu, H. Matsumoto","doi":"10.1109/ISPACS48206.2019.8986389","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986389","url":null,"abstract":"Conventionally, there is a method to use auscultation when medical doctors diagnose a disease from heartbeats with heart noise. However, the respiratory sound and the heart sound are mixed. Further, it is difficult for the desired heart sound to be heard. For solving this problem, we propose a method to separate respiratory sound and heart sound based on blind source separation (BSS). In BSS method, we use a non-linear function corresponding to the probability distribution of source signals in order to separate. A distribution of the respiratory sound is a high-order sub-Gaussian distribution close to uniform distribution, a distribution of the heart sound is a super Gaussian distribution. In the conventional method, there is no non-linear function corresponding to both distribution. Therefore, in this paper, in order to separate the respiratory sound and the heart sound, we propose new non-linear function accurately separated from super Gaussian distribution through sub-Gaussian distribution to uniform distribution. Then, we build the BSS method based on the proposed non-linear function. We evaluate the proposed method by computer simulation.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"145 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86582818","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 Design Framework for Hardware Approximation of Deep Neural Networks 一种深度神经网络硬件逼近的设计框架
2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2019-12-01 DOI: 10.1109/ISPACS48206.2019.8986370
Wei-Hung Lin, Hsu-Yu Kao, Shih-Hsu Huang
{"title":"A Design Framework for Hardware Approximation of Deep Neural Networks","authors":"Wei-Hung Lin, Hsu-Yu Kao, Shih-Hsu Huang","doi":"10.1109/ISPACS48206.2019.8986370","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986370","url":null,"abstract":"For real-time edge AI applications, there is a need to implement deep neural networks (DNNs) in hardware for high speed. The trade-off between computing accuracy and hardware cost must be made during the implementation of hardware approximation. In this paper, we propose a design framework for DNN hardware approximation. The proposed framework provides a behavior model library of approximate logic circuits (e.g., approximate multipliers) for the designers to utilize them. Moreover, the proposed framework also supports the dynamic fixed-point arithmetic for hardware simulation. To save the required total bit width, we develop an integer length tuning method in the framework to maximize the computing accuracy under a constraint on the total bit width. Experimental results on ICNet show that the proposed framework can achieve high computing accuracy with small hardware cost.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"48 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90304552","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
Automatic Spine Vertebra segmentation in CT images using Deep Learning 基于深度学习的CT图像自动分割
2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2019-12-01 DOI: 10.1109/ISPACS48206.2019.8986367
P. Wu, Teng-Yi Huang, C. Juan
{"title":"Automatic Spine Vertebra segmentation in CT images using Deep Learning","authors":"P. Wu, Teng-Yi Huang, C. Juan","doi":"10.1109/ISPACS48206.2019.8986367","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986367","url":null,"abstract":"In this study, we aimed to develop a fully automatic segmentation and classification system for spine vertebra regions. We used datasets provided by xVertSeg and trained a SegNet segmentation model. In our preliminary result, this model was able to identify the spine vertebra regions and levels.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"28 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80137301","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信