{"title":"Study on Discrimination of Finger Motions based on EMG signals","authors":"Xiaomin Shan, S. Ito, Momoyo Ito, M. Fukumi","doi":"10.1109/ISPACS48206.2019.8986313","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986313","url":null,"abstract":"In recent years, biological signals have attracted attention as tools for human interfaces. Researches on biological signals have been actively conducted. In this paper, we propose a method which distinguishes ten motions, such as “One” “Two” “Three” “Four” “Five” “Six” “Seven” “Eight” “Nine” and “Ten” by measured the electromyogram of the wrist. We measure data by installing 8 dry type sensors on the right wrist. We carry out frequency analysis using FFT and try to take 3 kinds of methods to remove noise. Finally, we use Support Vector Machine (SVM) for identification and classification. We conducted experiments with four subjects. In the experimental result, the accuracy of finger motions recognition was 65%. In the future, we will also add more methods to remove noise, and try to find other methods to improve the accuracy in the research.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"19 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":"74663444","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":"Heterogeneous Industrial IoT Integration for Manufacturing Production","authors":"Chao-Hsien Lee, Zheng-Lin Wu, Yun-Ting Chiu, Vi-Shu Chen","doi":"10.1109/ISPACS48206.2019.8986308","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986308","url":null,"abstract":"Due to the explosive growth and requirements of the industrial Internet of Things (IIoT), more than one standard and protocol have been defined and applied for the real environment. How to integrate these IIoT techniques for the demand for customization become one urgent and necessary research issue. This paper describes and presents one heterogeneous IIoT integration for manufacturing production.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"43 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":"74721904","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":"Merge Mode-based Data Embedding in SHVC Compressed Video","authors":"LieLin Pang, Koksheik Wong, Ryoma Ito","doi":"10.1109/ISPACS48206.2019.8986316","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986316","url":null,"abstract":"A merge mode-based data embedding technique is proposed for SHVC compressed video. Inter-prediction block merging candidate selection decision is manipulated to embed data based on the pre-defined mapping rules. Experimental results show that encouraging payload is achieved at the expense of slight bit rate increment and negligible degradation in perceptual video quality. In the best case scenario, the sequence PartyScene can embed 84.4 kbps with an average 1.1% bit rate overhead for the LDB configuration.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"169 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":"74882106","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":"Using Inversion-mode MOS Varactors and 3-port Inductor in 0.18-µm CMOS Voltage Controlled Oscillator","authors":"Ming-Xuan Li, Ching-Yi Jiang, Yu-Ying Pan, Hao-Hui Chen, Yao-Wen Hsu","doi":"10.1109/ISPACS48206.2019.8986327","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986327","url":null,"abstract":"This paper presents a RF voltage controlled oscillator (VCO) using inversion-mode MOS varactors and 3-port inductors to achieve low power consumption, low phase noise, broad tuning range and minimized chip size. The proposed circuit architecture using body-biased technique operates from 4.3 to 5 GHz with 20.8% tuning range. The measured phase noise is less than −125.34 dBc at a displacement frequency of 1 MHz. The power consumption of this VCO is 25 mW when biased at 1.8 V. This VCO was implemented in standard TSMC 0.18-µm 1P6M process. The chip size is 0.476 mm2 including the pads, which is only 63% comparing with an identical VCO using TSMC inductor model.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"441 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":"82233190","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":"Super-Resolution via Wavelet Transform and Advanced Learning Techniques","authors":"Yi-Wen Chen, Jian-Jiun Ding","doi":"10.1109/ISPACS48206.2019.8986242","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986242","url":null,"abstract":"Image super-resolution aims to generate a high-resolution (HR) image from a low-resolution (LR) input image. In this paper, we propose a deep learning-based approach for image super-resolution. We use the wavelet transform to separate the input image into four frequency bands, and train a model for each sub-band. By processing information from different frequency bands via different CNN models, we can extract features more efficiently and learn better LR-to-HR mapping. In addition, we add dense connection to the model to make better use of the internal features in the CNN model. Furthermore, geometric self-ensemble is applied in the testing stage to maximize the potential performance. Extensive experiments on four benchmark datasets show the efficiency of the proposed method.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"106 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":"82283396","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":"Actived Edge Strength for Image Quality Assessment","authors":"Minjuan Gao, Xuande Zhang","doi":"10.1109/ISPACS48206.2019.8986261","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986261","url":null,"abstract":"These years has witnessed the success of deep learning methods in computer vision. The approximation capabilities of neural networks is partly responsible for these success, and active function is crucial for the approximation capability. Motivated by the success of deep learning, this paper presents an Actived Edge Strength Similarity (AESSIM) based image quality assessment algorithm. Numerical experiments on the public datasets indicates that AESSIM is quite competitive in assessing performance.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"3 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":"83610836","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 Nail Image Analysis Method to Evaluate Accumulated Stress Using Fuzzy Reasoning","authors":"Kazuki Shimamoto, S. Ito, Momoyo Ito, M. Fukumi","doi":"10.1109/ISPACS48206.2019.8986323","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986323","url":null,"abstract":"In this paper, we propose a nail image analysis method to evaluate accumulated stress using fuzzy reasoning. The proposed method consists of three stages: measurement, feature extraction, and stress evaluation. In the measurement, we take a nail image. In the feature detection, we extract the lunula of the nail to calculate its height. In the stress evaluation, we evaluate accumulated stress using fuzzy reasoning. The experimental results suggest that the proposed method can determine the presence or absence of accumulated stress.","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":"77101474","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":"Target Speech Signal Extraction Using Variance of Phase Difference","authors":"Eiji Saito, A. Kawamura","doi":"10.1109/ISPACS48206.2019.8986248","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986248","url":null,"abstract":"It has been attracted attention to a hearable device which is one of wearable devices on human ears for communications, entertainment, health coaching, and so on. For human-to-human speech communication, an important issue of the hearable device is to enhance a target speech signal in an environment where multiple speech signals exist. In this paper, we propose a method to extract the target speech signal under the assumption that the target speaker be the nearest and the front to the hearable device user. The proposed method separates an observed speech mixture to each speech signals and estimates the target speech signal based on a variance of a phase difference between both ears. The proposed method can be implemented as a batch algorithm or an online algorithm. We evaluate the capability of the proposed method on both algorithms, and show that the online algorithm is more effective to a hearable device.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"67 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":"79842835","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-Complexity Maximum Likelihood (ML) Decoder for Space-Time Block Coded Spatial Permutation Modulation (STBC-SPM)","authors":"Hsu-Hsuan Tu, C. Lee, I-Wei Lai","doi":"10.1109/ISPACS48206.2019.8986394","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986394","url":null,"abstract":"Space-time block coded spatial permutation modulation (STBC-SPM) is a new MIMO technique that integraes the STBC-spatial modulation (STBC-SM) and the recently-proposed spatial permutation modulation (SPM). Specifically, SPM exploits the permutation vector to achieve diversity gain by dispersing the signal along the time coordinate. In this work, we examine the STBC-SPM in more details and propose a low-complexity decoder for STBC-SPM by utilizing the orthogonality of the STBC Alamouti code. The numerical simulations demonstrate the superior performance of the STBC-SPM from various aspects. Moreover, the proposed decoder structure achieves up to 90.6% ~99. 9 % complexity saving without sacrificing the error rate performance, compared with the optimal maximum likelihood (ML) decoder implemented by the exhaustive search.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"37 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":"80136024","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":"Latency Constraint-aware Scheduler for NVMe Solid State Drives","authors":"Cheng-Yu Li, Jih-Hsiang Cheng, Ya-Shu Chen","doi":"10.1109/ISPACS48206.2019.8986290","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986290","url":null,"abstract":"Non-Volatile Memory Express (NVMe) solid-state drives (SSDs) provide high data transfer rates by the benefited from the multi-queue interface and high-speed bus. With a better tradeoff between power and performance, the NVMe SSD is becoming ideal storage for embedded systems. Although multiple dispatch queues supporting increased the data rates, the interference between applications affects the response time of applications which have latency constraints in the embedded systems. In this study, we propose a latency constraint-aware scheduler to manage the response time of applications while maintaining the throughput of the NVMe SSD.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"595 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":"77835355","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}