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":"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}
Haruki Tanaka, Yosuke Sugiura, N. Yasui, T. Shimamura, Ryoichi Miyazaki
{"title":"Cross Conditional Network for Speech Enhancement","authors":"Haruki Tanaka, Yosuke Sugiura, N. Yasui, T. Shimamura, Ryoichi Miyazaki","doi":"10.1109/ISPACS48206.2019.8986375","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986375","url":null,"abstract":"In the signal processing field, there is a growing interest in speech enhancement. Recently, a lot of speech enhancement methods based on the deep neural network have been proposed. Mostly, these networks, such as SEGAN, Wave-U-Net, adopt the autoencoder structure. In this paper, we propose the cross conditional network for speech enhancement based on SEGAN architecture. The proposed network has two Auto-Encoder, where the mutual latent vector is composed of the concatenated vector of these encoder outputs. In the experiments, we show that the proposed method exceeds SEGAN in terms of the objective evaluation measure by PESQ.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"99 6 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":"87724111","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 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":"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}
{"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":"Road Boundary Detection for Straight Lane Lines Using Automatic Inverse Perspective Mapping","authors":"Fabien Rakotondrajao, Kharittha Jangsamsi","doi":"10.1109/ISPACS48206.2019.8986330","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986330","url":null,"abstract":"This paper addresses the difficulty of detecting and/or verifying road boundary markings from road images. The 2-D road images usually contain the perspective effect/distortion because of the acquisition process resulting in an inaccuracy of the lane detection. We thus propose in this paper an approach to automatically select four points for performing the Inverse Perspective Mapping (IPM) in order to diminish such effect/distortion. Our proposed method is efficient and very practical to implement with the existing lane detection method, as shown in the experimental results.","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":"81124233","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":"Adaptive line enhancer-based beat noise suppression for FM radio in motor vehicle","authors":"Kosuke Hasada, A. Kawamura, Y. Iiguni","doi":"10.1109/ISPACS48206.2019.8986302","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986302","url":null,"abstract":"In FM-radio on motor vehicles, there exists an interference called as a beat noise which is caused by equipped electronic control units. We propose a method which suppresses a beat noise using VAD (Voice Activity Detection) and ALE (Adaptive Line Enhancer). The ALE adaptively eliminates the beat noise in noise-only segments obtained by VAD. The ALE whose coefficients are automatically fixed when the variance of the ALE estimation error becomes sufficiently small in noise-only segments. In speech existence segments, the fixed ALE is used. Since the proposed ALE is automatically fixed after convergence, it can reduce speech degradation caused by misjudgement of VAD. Unfortunately, the ALE often adds a pseudo beat noise in speech existence segments. Thus, when the variance of the output signal is greater than the variance of the input signal, we remove the ALE. Simulation results show that the proposed method improves SNR in comparison to a conventional method.","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":"81876480","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}