{"title":"Personal Authentication by Walking Motion using Kinect","authors":"Chunyu Guo, S. Ito, Momoyo Ito, M. Fukumi","doi":"10.1109/ISPACS48206.2019.8986388","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986388","url":null,"abstract":"In recent years, with the rapid development of the information society, the importance of personal authentication has become higher and higher. This paper focuses on the use of a Kinect sensor to obtain walking characteristics for personal authentication. In terms of the proposal method, Kinect is used to obtain body's physical feature quantity, such as the angle of joint bending when a person walks, the displacement of coordinates. In terms of learning recognition, the support vector machine and the obtained feature amount are used for personal authentication. We measured 3 subjects data 5 times a day for 4 days, and obtained an average recognition accuracy of 77.4 % using cross-validation.","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":"73655229","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":"Reconfirm gestalt principles from scan-path analysis on viewing photos","authors":"H. Chuang, D. Tang","doi":"10.1109/ISPACS48206.2019.8986232","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986232","url":null,"abstract":"The advances in communication technology not only ushered in an era of visual image explosion, but also led to the emergence of the “visual generation” who are heavily image-reliant in their quotidian existence. Photography is a form of visual arts that sets great store by human visual perception. It brings aesthetic delight by connecting human vision with psychological experiences. Every captivating or heart-touching photograph has its sui generis context or story, and gestalt theory may be the key to this kind of mystery. However, people have simply a limited knowledge of their viewing mechanism, and compelling evidence for the links between viewers' inner feelings and visual cognition remains wanting. To remedy this deficiency, this study takes the angle of positive aesthetics and employs the eye-tracking method to investigate the influence of photographic compositions' gestalt on the subjects' visual cognition, so as to grasp how they look at, interpret and appreciate photographic works. By manipulating the gestalt elements, calculating the dispersion degree of the subjects' scan paths, and collecting the subjects' opinions on the aesthetic quality of each photographic work, we found that the works embodying the gestalt principles tend to confine the subjects' scan paths to a unified context, while those violating the principles do not. Enhancing the foundation of photography and developing a new eye-tracking method with positive aesthetics, this study will stimulate photographers' artistic creativity, promote arts education, improve students' aesthetic literacy, and produce useful teaching material on the pedagogy and theories of photography.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"39 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":"74408773","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":"Bounding Box based Annotation Generation for Semantic Segmentation by Boundary Detection","authors":"Xiaolong Xu, Fanman Meng, Hongliang Li, Q. Wu, Yuwei Yang, Shuai Chen","doi":"10.1109/ISPACS48206.2019.8986234","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986234","url":null,"abstract":"This paper proposes a new method to generate pseudo-annotations from manual bounding boxes for semantic segmentation. Different from traditional local data driven based methods such as Conditional Random Field (CRF) and GrabCut, we aim at using class-agnostic bounding box based segmentation models. To this end, we propose a new segmentation network, which formulates segmentation task as a sparse boundary point detection task rather than dense pixel label prediction task, and therefore can provide new type of pseudo-annotations. Furthermore, we detect object boundary based on direction, and use multiple directions to handle various shapes of objects. Moreover, we further enhance the pseudo generation by combining different types of segmentation masks. Classical Fully Convolutional Networks (FCN) network based on dense prediction is also modified to generate diverse foreground masks. A simple fusion method based on intersection operation is proposed to combine the two types of pseudo-annotations. We verify the effectiveness of our method on PASCAL VOC 2012 validation dataset. The mIoU value is 67.9%, which outperforms the state-of-the-art method by 1.1%.","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":"74402960","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":"Performance Evaluation of Heterogeneous Cluster for Satellite Data Processing","authors":"S. Prongnuch, S. Sitjongsataporn, T. Wiangtong","doi":"10.1109/ISPACS48206.2019.8986332","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986332","url":null,"abstract":"This paper presents the performance evaluation of heterogeneous cluster for satellite data processing. The proposed system consists of a master and eight slaves of the heterogeneous system connected to a start-network switch. The metric performance is used for satellite data processing algorithm. For the performance evaluation, the overall processing time is 102.85 seconds. Additionally, comparisons with the related work show better than 1.6 times of processing time compared with the previous work.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"215 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":"74434368","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":"Blind Equalizer with Noise Reduction Function","authors":"Mitsuru Mashimo, Minoru Komatsu, H. Matsumoto","doi":"10.1109/ISPACS48206.2019.8986252","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986252","url":null,"abstract":"Recently, in order to compensate for distortion of the received signals, the blind equalization method has been studied. The blind equalizer is designed by using only received signals. However, equalization precision is lower when noise is included in the received signals [1]. Therefore, in order to solve the problem, we propose a method to equalize accurately even in the noisy environment by using Total Least Squares (TLS). Specifically, the procedures of equalization with noise reduction function are as follows:","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":"74614946","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":"Duty Ratio and Capacitance Analysis of AC/DC Converter without Current Control Circuit","authors":"Yuki Tanaka, T. Matsuura, Ryo Kishida, A. Hyogo","doi":"10.1109/ISPACS48206.2019.8986275","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986275","url":null,"abstract":"This paper analyzes duty ratio and capacitance of AC/DC converter without Power Factor Correction (PFC) circuit. This converter adds a capacitor in order to flow current through a diode of the boost converter every switching cycle. The input current flows every switching cycle without current control and follows input voltage. We calculate circuit equations of the AC/DC converter and simulate using proper duty ratio and capacitance. As simulation results, this circuit convert input voltage and current to constant 12 V and 125 A. We demonstrate the equation and calculated parameters are useful in the AC/DC converter.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"100 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":"77261931","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}
W. Lai, Chung-Ling Wang, Guodong Wang, Chia-Yu Tsai, Chien-Wen Chen, Yu-Wen Lo
{"title":"Design of SAR ADC to Light Charging for Optical Sensors Applications","authors":"W. Lai, Chung-Ling Wang, Guodong Wang, Chia-Yu Tsai, Chien-Wen Chen, Yu-Wen Lo","doi":"10.1109/ISPACS48206.2019.8986395","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986395","url":null,"abstract":"The proposed successive approximation register (SAR) analog-to-digital converter (ADC) for integrates optical sensor. The heart rate sensor including SAR ADC and OPVs are presented. To reduce DAC switching energy, a hybrid resistor-capacitor DAC is applied. The optimal design used charging near infrared laser driven (NIRLD) with thin Fresnel and OPVs light with VCSEL. The charging near infrared laser driven (NIRLD) with thin Fresnel might be a promising OPVs light power supplier and low consumption, asynchronous control logic to drive the ADC is used. A pre-amplifier-based comparator circuit is built to reduce the kickback noise from the dynamic latch designs for optical sensor applications.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"36 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":"79835829","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}
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}