{"title":"Low Latency HARQ Method Using Early Retransmission Before Channel Decoding Based on Superposition Coding","authors":"Koka Miura, Y. Kishiyama, K. Higuchi","doi":"10.1109/ISPACS48206.2019.8986328","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986328","url":null,"abstract":"This paper proposes a superposition coding-based early retransmission method for a previously reported low latency hybrid automatic repeat request (HARQ) method using early retransmission before channel decoding. The low latency HARQ method mitigates the increased transmission latency resulting mainly from the delay time required for channel decoding in HARQ by requesting early retransmission before the channel-decoding process is completed. However, early-retransmission decision may include error, which results in unnecessary retransmission and consequently throughput loss. The proposed method mitigates this throughput loss by multiplexing the early-retransmission packet and initial packet for the next transmission attempt within the same channel using superposition coding. The receiver applies an inter-packet interference canceller to cancel the interference between the superposition coded packets. Simulation results show that the proposed method further improves the achievable tradeoff between the transmission latency and throughput.","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":"83633245","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":"Mapping and Permutation Set Design for Spatial Permutation Modulation (SPM)","authors":"C. Lee, Hsu-Hsuan Tu, I-Wei Lai","doi":"10.1109/ISPACS48206.2019.8986289","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986289","url":null,"abstract":"Spatial permutation modulation (SPM) has been proposed and demonstrated as an efficiency multiple-input multiple-output (MIMO) technique which generalizes spatial modulation (SM) by exploiting the time coordinate for further transmit diversity gain. In particular, SPM activates the transmit antennas at successive time instants by the permutation vector which brings the information bits. In this work, we elaborate on the design of the permutation set of SPM and the mapping between the permutation vector and the information bits. A MIMO system with 6 transmit antennas and 16 permutation vectors in the adopted set is applied as an example for these two design issues. Numerical results demonstrate that, by using our mapping rules and designed permutation sets, the error rate of the SPM system is greatly improved.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"10 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":"78448999","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":"Dictionary learning on l1-norm fidelity for non-key frames in distributed compressed video sensing","authors":"T. Oishi, Y. Kuroki","doi":"10.1109/ISPACS48206.2019.8986278","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986278","url":null,"abstract":"Distributed Compressed Video Sensing (DCVS), which consists of Compressed Sensing (CS) and Distributed Video Coding (DVC), is an encoding scheme transferring computational burden from encoder to decoder. By assuming that given signals are sparse, the CS enables accurate decoding only referring low dimensional observations which are obtained by low-rank random projection of original signals. The DVC divides image sequences into key and non-key frames and regards the decoding of the non-key frames as error correction using the key frames. The quality of the non-key frames depends on the design of the dictionaries. Then, many studies optimize dictionaries with convex optimization solvers for functions consisting of the weighted sum of two terms: l2-norm error estimation term and l1-norm regularization term. This paper proposes to use l1-norm error instead of l2-norm to increase the robustness against outliers. We apply ADMM (Alternating Direction Method of Multipliers), which is a convex optimization solver, to minimization the cost function. Simulation results show the proposed method generates better Quality images than the conventional method.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"31 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":"87231943","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":"Atrial Fibrillation Detection in Spectrogram Based on Convolution Neural Networks","authors":"Jing-Ming Guo, Chiao-Chun Yang, Zong-Hui Wang, Chih-Hsien Hsia, Li-Ying Chang","doi":"10.1109/ISPACS48206.2019.8986347","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986347","url":null,"abstract":"Nowadays, the computerized electrocardiogram (ECG) interpretation is the best available tool for the detection of heart diseases. The symptoms of atrial fibrillation, one of the heart disease, are the most challenging task of heart disease that relies on the cardiologist to read the ECG. However, this task involves a time-consuming process, leading to fatigue-induced medical errors. In this paper, a novel atrial fibrillation diagnostic algorithm based on deep learning architecture is proposed which incorporates the spectrogram to further improve the accuracy performance. As shown in the experimental results, the proposed method on PhysioNet /CinC Challenge 2017, which contains 8528 of single-lead ECG recordings, achieves the 10-fold cross-validation set performance of 78%.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"64 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":"89228593","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}
Shinichi Ozaku, Yukiko Shimbo, Hirofumi Suganuma, F. Maehara
{"title":"Repetition Control Method Using Terminal Mobility for Uplink Grant-Free URLLC","authors":"Shinichi Ozaku, Yukiko Shimbo, Hirofumi Suganuma, F. Maehara","doi":"10.1109/ISPACS48206.2019.8986320","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986320","url":null,"abstract":"This paper proposes a repetition control method using terminal mobility to alleviate the packet collision for uplink grant-free (GF) ultra-reliable and low-latency communications (URLLC). Because the time diversity benefit within repetitions is basically dependent on a fading correlation, the proposed approach determines the number of necessary repetitions using a fading correlation easily obtained from the terminal speed. Using the proposed repetition control, the number of repetitions can be reduced especially in low fading correlations, alleviating packet collision. The effectiveness of our proposed method is demonstrated in terms of latency by computer simulations.","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":"89657407","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":"Lattice-Superposition NOMA for Near-Far Users","authors":"C. Sung, K. Shum","doi":"10.1109/ISPACS48206.2019.8986393","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986393","url":null,"abstract":"A novel non-orthogonal multiple access scheme based on lattice superposition is proposed. Sixteen points from the D4lattice are picked as the signal constellation in the four-dimensional real space. Superposition coding for two users is applied at the downlink of the communication system. While the far user detects its intended signal directly, the near user performs interference cancellation before detects its own intended signal. The performance of our proposed scheme is compared with a benchmark orthogonal scheme using 16-QAM. When the link gain difference between the two users is large, our proposed lattice superposition scheme outperforms the benchmark significantly. In particular, when the link gain of the far user is 20 dB smaller than that of the near user, with a word error probability of 10−3, an energy gain of 6 dB can be obtained.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"7 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":"90819944","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":"Novel Deblocking Method for Cropped Video","authors":"Kenta Hashimoto, S. Gohshi","doi":"10.1109/ISPACS48206.2019.8986303","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986303","url":null,"abstract":"Due to a large amount of data, videos are encoded (data volume reduction) before transmission and storage. However, coded videos have degradations. One of them is called ‘block noise’ that appears block shape degradation on the image. Block noise can be usually reduced by a deblocking filter that reduces the block boundaries. However, the conventional deblocking filter has an issue that it cannot be applied to cropped video with the block noise. Although the deblocking filter reduces the block noise, it also causes blur on the edges in the video. In this paper, we propose a novel deblocking method that can reduce block noise for cropped videos by keeping the edges.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"104 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":"80664856","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 Benchmark for Homework Tidiness Assessment","authors":"Hanxiao Wu, Zhenyu Zhang, Zhichao Zheng, Fei Shen, Weiwei Zhang, Jianqing Zhu, Huanqiang Zeng","doi":"10.1109/ISPACS48206.2019.8986287","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986287","url":null,"abstract":"The homework tidiness assessment aims to auto evaluate the writing tidiness of homework, playing an important role in daily teaching. However, there is still no comprehensive basis for homework tidiness assessment. For this, a benchmark for homework tidiness assessment (HTA) is proposed. Firstly, a database named HTA 1.0 containing 1000 homework images is collected. Each image is manually annotated by multiple volunteers. Secondly, a comprehensive evaluation protocol is designed, using mean absolute error (MAE), root mean square error (RMSE), mean absolute percentage error (MAPE) and accuracy (Acc) as performance indicators. Finally, three deep learning models (i.e., LeNet, AlexNet and VGGNet) are applied as baseline methods and the results are reported and analyzed.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"53 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":"80747328","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":"Low-power Bandgap Reference with Soft Startup for Energy Scavenging Applications","authors":"N. Retdian","doi":"10.1109/ispacs48206.2019.8986338","DOIUrl":"https://doi.org/10.1109/ispacs48206.2019.8986338","url":null,"abstract":"Band-gap reference (BGR) is one of the important and indispensable analog circuits in integrated circuits. The design of BGR has been widely known. In most cases, the power supply voltage is assumed to be a constant value with a variation of ±10%. However, in the case of energy scavenging, the input voltage, which will be converted to the power supply voltage, varies in a wide range. Linear regulator such as Low Drop-Out Regulator (LDO) is used to produce the power supply inside the chip, however, the BGR cannot use LDO output as it power supply voltage since LDO uses BGR output as its reference voltage. In near field communication (NFC) systems, the input voltage varies with the distance between the reader and device. This work assumes the implementation of BGR in an NFC system where the supply voltage of BGR varies from OV to $5mathrm{V}$. A BGR start-up mechanism for a wide input voltage range is proposed. The proposed start-up mechanism is implemented in 0.18um CMOS process and verified using Spectre simulation. The proposed BGR operates at 1.35~5.5V input voltage range. The temperature coefficient at a 1.7-V input voltage and a temperature range from −25 to 80°C is 21ppm/°C.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"94 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":"75307799","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":"Generalized Differential Gray-level Histogram Equalization","authors":"Hideaki Tanaka, A. Taguchi","doi":"10.1109/ISPACS48206.2019.8986331","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986331","url":null,"abstract":"Histogram equalization (HE) is a simple and effective method for contrast enhancement as it can automatically define the gray-level transformation function based on the distribution of gray-level included in the image. HE fails to produce satisfactory results for broad range of low-contrast images because the HE does not use a spatial feature included in the input image. The differential gray-level histogram which is contained edge information of the input image, were defined. Furthermore, the differential gray-level histogram equalization (DHE) has been proposed. The DHE shows better enhancement results compared to the HE results for many kinds of images. In this paper, we propose a generalized DHE (GDHE) method. In GDHE, histograms are created using powers of gradients. If the power is set as 0, GHE is equivalent to HE, and if the power is set as 1, GHE is equivalent to DHE. That is, GDHE includes HE and DHE. GHE can preserve the mean brightness of the input image perfectly by setting the power appropriately and shows good contrast enhancement results at the same time.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"35 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":"78387846","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}