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

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A Compact Triple Passband Bandpass Filter Using Stub Load - Uniform impedance Resonators 采用短段负载均匀阻抗谐振器的紧凑型三通带带滤波器
2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2019-12-01 DOI: 10.1109/ISPACS48206.2019.8986364
Kuan-Jen Lin, Zong-Fu Li, Tzu-Chun Tai, Hung-Wei Wu, Yeong-Her Wang
{"title":"A Compact Triple Passband Bandpass Filter Using Stub Load - Uniform impedance Resonators","authors":"Kuan-Jen Lin, Zong-Fu Li, Tzu-Chun Tai, Hung-Wei Wu, Yeong-Her Wang","doi":"10.1109/ISPACS48206.2019.8986364","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986364","url":null,"abstract":"In this paper, a compact triple passband bandpass filter (BPF) using stub load - uniform impedance resonators (SL-UIRs) is proposed. The resonators can provide the multipath propagation to enhance the filter performance and compact circuit size. The multipath SL-UIRs is designed to have two resonant paths at 2.4, 3.5 and 5.2GHz for WLAN and 5G. The resonant frequencies can be easily controlled by tuning the length of the uniform impedance resonators. The proposed triple passband filter is showing a simple configuration, an effective design method and small circuit size. The measured results are in good agreement with the fullwave electromagnetic simulation results.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"18 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":"87427495","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
Learning Based SLIC Superpixel Generation and Image Segmentation 基于学习的SLIC超像素生成与图像分割
2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2019-12-01 DOI: 10.1109/ISPACS48206.2019.8986326
C. Chang, Jian-Jiun Ding, Heng-Sheng Lin
{"title":"Learning Based SLIC Superpixel Generation and Image Segmentation","authors":"C. Chang, Jian-Jiun Ding, Heng-Sheng Lin","doi":"10.1109/ISPACS48206.2019.8986326","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986326","url":null,"abstract":"Superpixel generation is to cluster the pixels with similar features and plays an important role for image segmentation. Conventional superpixel generation methods are more meaningful, however, the learning based method can generate the superpixels directly from the segments in the ground truth and achieve even better performance. In this work, an advanced superpixel generation algorithm that combines the advantages of conventional methods and modern neural network techniques is proposed. In addition to colors and locations, we find that the feature generated by neural networks also provide useful information for superpixel assignment. Simulations show that, with the proposed superpixels, a much more precise segmentation result can be achieved.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"77 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":"87246684","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
Generative Adversarial Network-based Image Super-Resolution with a Novel Quality Loss 基于生成对抗网络的图像超分辨率与一种新的质量损失
2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2019-12-01 DOI: 10.1109/ISPACS48206.2019.8986250
Xining Zhu, Lin Zhang, Lijun Zhang, Xiao Liu, Ying Shen, Shengjie Zhao
{"title":"Generative Adversarial Network-based Image Super-Resolution with a Novel Quality Loss","authors":"Xining Zhu, Lin Zhang, Lijun Zhang, Xiao Liu, Ying Shen, Shengjie Zhao","doi":"10.1109/ISPACS48206.2019.8986250","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986250","url":null,"abstract":"Single Image Super-Resolution (SISR) has been a very attractive research topic in recent years. Breakthroughs in SISR have been achieved due to deep learning and Generative Adversarial Networks (GANs). However, the generated image still suffers from undesired artifacts. In this paper, we propose a new method named GMGAN for SISR tasks. In this method, to generate images more in line with Human Vision System (HVS), we design a quality loss by integrating an IQA metric named Gradient Magnitude Similarity Deviation (GMSD). To our knowledge, it is the first time to truly integrate an IQA metric into SISR. Moreover, to overcome the instability of the original GAN, we use a variation of GANs named WGAN-GP. Experiments show that GMGAN with quality loss and WGAN-GP can generate visually appealing results and set a new state-of-art.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"1 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":"89668003","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: 6
Pilot Allocation for Iteration Reduction of Channel Estimation Using MF-Based Interpolation 导频分配用于基于mf插值的信道估计迭代减少
2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2019-12-01 DOI: 10.1109/ISPACS48206.2019.8986273
Norisato Suga, Ryohei Sasaki, T. Furukawa
{"title":"Pilot Allocation for Iteration Reduction of Channel Estimation Using MF-Based Interpolation","authors":"Norisato Suga, Ryohei Sasaki, T. Furukawa","doi":"10.1109/ISPACS48206.2019.8986273","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986273","url":null,"abstract":"This paper studies an iteration reduction of channel estimation method using matrix factorization (MF) based interpolation. It is important to set the initial value close to the optimal solution to reduce the iteration. To obtain an appropriate initial value, exploiting the existing methods with low computational complexity such as linear interpolation is reasonable. While MF-based interpolation can achieve high accuracy when randomly determined pilot symbol allocation, it is not suitable for the existing method. This paper proposes a pilot allocation where fixed position and the randomly determined position are mixed to perform both the linear interpolation and MF-based interpolation. Computational simulation result shows the iteration reduction by the proposed pilot symbol allocation.","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":"86155345","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
A Study on the Applying of Digital Information and Visually Creative Thinking for Environment Design Education 数字信息与视觉创新思维在环境设计教育中的应用研究
2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2019-12-01 DOI: 10.1109/ispacs48206.2019.8986262
Chi-Jui Tsai, S. Chang, Kuo-An Wang
{"title":"A Study on the Applying of Digital Information and Visually Creative Thinking for Environment Design Education","authors":"Chi-Jui Tsai, S. Chang, Kuo-An Wang","doi":"10.1109/ispacs48206.2019.8986262","DOIUrl":"https://doi.org/10.1109/ispacs48206.2019.8986262","url":null,"abstract":"The study discusses the feasibility strategies and creative planning ideas among urban image, digital life and digital art by analyzing the design technique of digital information and visually creative thinking using in the environment. I hope to induce some visual design forms which can be took as the reference on digital art and digital life education or the guide for students' teaching and operation. The text is about comprehending the environmental reform and conceptual planning in a city or a certain area that is based on (1)process of creative ideas, (2)construction of visually creative design ideas, (3)technique of visual design, and (4)application of cultural marketing and cultural elements. According to these stages, the researchers can build their own urban culture image for a place, region and city.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"45 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":"90411833","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
Investigation on Distributed Joint Optimization of User Association and ICIC Based on PF Criteria in Small Cell Deployments 小小区部署中基于PF准则的用户关联和ICIC分布式联合优化研究
2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2019-12-01 DOI: 10.1109/ISPACS48206.2019.8986295
Takuya Matsumoto, N. Miki
{"title":"Investigation on Distributed Joint Optimization of User Association and ICIC Based on PF Criteria in Small Cell Deployments","authors":"Takuya Matsumoto, N. Miki","doi":"10.1109/ISPACS48206.2019.8986295","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986295","url":null,"abstract":"To support the continuous growth of mobile traffic, small cell deployments are promising. In small cell deployments, combined usage of user association (UA) and inter-cell interference coordination (ICIC) is inevitable, which requires joint optimization of both techniques. Therefore, we propose joint optimization of UA and ICIC via distributed control. In our distributed control method, “distributed” control units (DCUs) were located at the macro base stations (BSs). Each DCU collected achievable data rates of users that were connecting to the macro BS and low-power (LP) BSs within the macro coverage. To obtain the high performance similar to centralized control, achievable data rates of users in the neighboring macro BSs were collected via the backhaul. Furthermore, we showed the effectiveness of our proposed scheme.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"70 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":"75236418","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 New Transparent Planar Reflector Antennas for Satellite DTV Applications 一种用于卫星数字电视的新型透明平面反射天线
2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2019-12-01 DOI: 10.1109/ISPACS48206.2019.8986280
Yu-Ming Lin, Zong-Fu Li, Tzu-Chun Tai, Hung-Wei Wu, S. Chang, Yeong-Her Wang
{"title":"A New Transparent Planar Reflector Antennas for Satellite DTV Applications","authors":"Yu-Ming Lin, Zong-Fu Li, Tzu-Chun Tai, Hung-Wei Wu, S. Chang, Yeong-Her Wang","doi":"10.1109/ISPACS48206.2019.8986280","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986280","url":null,"abstract":"This paper presents the new thick film coating technology for transparent conducting film (TCF). The coated thin film is having the microwave characteristic of high transparency and low resistivity. Design of traditional dipole antenna consisted of iron wire, which can be manufactured via the simple bending process as that for the reflector antennas. On the surface is designed, the planar reflecting layer of using our invented activation process is used to rearrange the direction of liquid nano-material the thin film from disorder to ordered arrangements. The optical transmittance of reflector layer can be achieved in 82%. The overall dimension size of the is 210×290 mm2, The transparent reflective layer is prototyped can apply on the Ku-band for the satellite DTV.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"38 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":"74639498","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
Feedback Active Noise Control using Linear Prediction Filter for Colored Wide-band Background Noise Environment 彩色宽带背景噪声环境下的线性预测滤波反馈主动噪声控制
2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2019-12-01 DOI: 10.1109/ISPACS48206.2019.8986340
R. Takasugi, Yosuke Sugiura, T. Shimamura
{"title":"Feedback Active Noise Control using Linear Prediction Filter for Colored Wide-band Background Noise Environment","authors":"R. Takasugi, Yosuke Sugiura, T. Shimamura","doi":"10.1109/ISPACS48206.2019.8986340","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986340","url":null,"abstract":"In this paper, we propose a new Feedback Active Noise Control (FB-ANC) system to improve the suppression performance for narrow-band noise buried in colored wideband background noise. The proposed system adopts a linear prediction filter to the input signal in order to separate narrowband noise and wide-band noise. The simulation result shows the proposed method can perform robust noise suppression.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"11 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":"73637406","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: 4
A semi-supervised learning model based on convolutional autoencoder and convolutional neural network for image classification 基于卷积自编码器和卷积神经网络的图像分类半监督学习模型
2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2019-12-01 DOI: 10.1109/ISPACS48206.2019.8986255
Yuxi Li, Hsiang-Yuan Yeh
{"title":"A semi-supervised learning model based on convolutional autoencoder and convolutional neural network for image classification","authors":"Yuxi Li, Hsiang-Yuan Yeh","doi":"10.1109/ISPACS48206.2019.8986255","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986255","url":null,"abstract":"Deep learning has achieved the state-of-the-art performance in image classification. But, the model with supervised learning approach should be trained with large parameters and completely labeled datasets. Therefore, we proposed a semi-supervised learning model based on a convolutional auto-encoder and a complementary convolutional neural network to assist image classification. Experimental results show that in the proposed model, the number of labelled data can be reduced by more than half, and the classification accuracy continues to have the same performance. The results show that the effectiveness and feasibility of our model with a limited number of labeled data.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"16 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":"72975938","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
Famileaf: Flowerpot robot for dementia prevention Famileaf:预防痴呆症的花盆机器人
2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2019-12-01 DOI: 10.1109/ISPACS48206.2019.8986339
Nagisa Ishizumi, M. Gouko
{"title":"Famileaf: Flowerpot robot for dementia prevention","authors":"Nagisa Ishizumi, M. Gouko","doi":"10.1109/ISPACS48206.2019.8986339","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986339","url":null,"abstract":"In Japan, as the rate of dementia increases, the interest in preventing dementia also increases. In this paper, we propose a flowerpot-type robot system called Famileaf. Growing a plant using Famileaf is expected to prevent dementia. The robot comprises a flowerpot, microcomputer, multiple sensors, and a battery. Famileaf can post a comment on a social networking site (SNS) to interact with an elderly person who is a grower. The users of the robot can grow plants in the same manner as they take care of a pet. Because the users can grow plants with more attachment, the use of Famileaf is expected to prevent dementia. Herein, the concept and the prototype of Famileaf have been described.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"18 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":"73009012","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
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