{"title":"Shadow Compensation for Aerial Images using Statistical Color Tuning","authors":"Shahbe Mat Desa, W. M. Isa, M. Roslee","doi":"10.1109/ISPACS57703.2022.10082787","DOIUrl":"https://doi.org/10.1109/ISPACS57703.2022.10082787","url":null,"abstract":"","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"75 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80588172","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}
T. Su, Feng-Chun Lee, Fu-Xiang Ke, Shih-Ming Wang, Miin-Jong Hao
{"title":"Estimation of Colorectal Tumor with Colonoscopy Based on Convolutional Neural Network","authors":"T. Su, Feng-Chun Lee, Fu-Xiang Ke, Shih-Ming Wang, Miin-Jong Hao","doi":"10.1109/ISPACS51563.2021.9650931","DOIUrl":"https://doi.org/10.1109/ISPACS51563.2021.9650931","url":null,"abstract":"","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"62 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76642912","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}
Yong-Ye Lin, Fu-Chun Chan, Pin-He Liu, Yen-Chih Liu, W. Kuo, Chi-Chia Sun
{"title":"Implementing portable energy storage systems in urban environments","authors":"Yong-Ye Lin, Fu-Chun Chan, Pin-He Liu, Yen-Chih Liu, W. Kuo, Chi-Chia Sun","doi":"10.1109/ISPACS51563.2021.9651061","DOIUrl":"https://doi.org/10.1109/ISPACS51563.2021.9651061","url":null,"abstract":"","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"29 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79373784","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}
Kosuke Fukava, K. Mori, K. Imamura, Y. Matsuda, T. Matsumura, S. Mochizuki
{"title":"Design and Implementation of Ultra-Low-Latency Video Encoder Using High-Level Synthesis","authors":"Kosuke Fukava, K. Mori, K. Imamura, Y. Matsuda, T. Matsumura, S. Mochizuki","doi":"10.1109/ISPACS48206.2019.8986365","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986365","url":null,"abstract":"For real-time applications such as autonomous driving and virtual reality (VR), we previously proposed an ultra-low-latency video coding method, which adopts line-based processing for Full-HD video. In this paper, we newly propose a design and implementation of the ultra-low-latency video encoder. In order to reduce the hardware amount, image-prediction specification is optimized for our previous work. Applying a high-level synthesis (HLS) design methodology for Xilinx FPGA, the implementation results of logic count with 10,677 LUTs, 3,714FFs and 66 DSPs is obtained. The implemented video encoder achieves less than 1.0 µs low-latency and compression to 39.4% without significant visual degradation. As a result, cost effective ultra-low-latency video encoder is implemented for low cost FPGA.","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":"74909948","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":"Compare of Vehicle Management over the Air and On-Board Diagnostics","authors":"Taehyoung Kim, Sungkwon Park","doi":"10.1109/ISPACS48206.2019.8986260","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986260","url":null,"abstract":"In the future, the more advanced autonomous navigation and connected car technology, the more ECU and related software in the vehicle will increase. In the future, as the autonomous vehicle industry grows, information on software updates will increase. Autonomous vehicles are connected to the Internet and traffic-dedicated cloud servers through a connected vehicle system to achieve more efficient autonomous driving. Accordingly, update technology that continuously manages and improves the software will become important This paper focuses on vehicle management through Wireless Vehicle Software Update (OTA) and Wired Vehicle Software Update (OBD).","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"34 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":"73339534","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":"Multi Band Antenna Design for Mobile Devices","authors":"W. Lai, Chang-chun Zhang","doi":"10.1109/ISPACS48206.2019.8986325","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986325","url":null,"abstract":"A laser direct structuring (LDS) antenna for multiband operation covering the GSM-850/900, GPS, DCS-1800, PCS-1900, UMTS-2100, WLAN-2400, LTE-2500 bands in the 5G communication devices is presented. The proposed antenna achieves this by exciting the antenna's wide radiating plate. The proposed antenna uses asymmetric T-type feed line structure to enchase impedance matching and achieve wide bandwidth with voltage standing wave ratio (VSWR) of 3: 1. Due to the compact volume, only occupied 50×113mm2, the proposed antenna design is fitting to be applied in the mobile devices.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"191 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":"72726104","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}
Yuichiro Kobayashi, T. Matsuura, Ryo Kishida, A. Hyogo
{"title":"Investigation of Hybrid ADC Combined with First-order Feedforward Incremental and SAR ADCs","authors":"Yuichiro Kobayashi, T. Matsuura, Ryo Kishida, A. Hyogo","doi":"10.1109/ISPACS48206.2019.8986265","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986265","url":null,"abstract":"We propose a hybrid Analog to Digital Converter (ADC) combined with the first-stage as a first-order feedforward incremental (FF I-) ADC and the second-stage as a SAR (Successive Approximation Register) ADC as high-precision and high-speed ADCs. As a result of simulation, the proposed hybrid ADC correctly converts data even if capacitance in FF path of the first-order I-ADC has 10% error.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"530 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":"77697247","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":"Thermal-Based Pedestrian Detection Using Faster R-CNN and Region Decomposition Branch","authors":"Yung-Yao Chen, Sin-Ye Jhong, Guan-Yi Li, Ping-Han Chen","doi":"10.1109/ISPACS48206.2019.8986298","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986298","url":null,"abstract":"In this paper, we present an infrared thermal-based pedestrian detection method that can be applied in nighttime intelligent surveillance systems. Pedestrian detection plays an important role in computer vision and automation industry applications, which include video surveillance, automotive robot, and smart vehicles. Recently, the improvement in deep learning techniques, such as convolutional neural networks (CNNs), have significantly increased the accuracy of pedestrian detection. Normally, the optical cameras, e.g. charge-coupled device cameras, are the device used to capture images. However, considering the dark environments and the luminance variation issues, infrared thermal camera would be an effective alternative solution to nighttime pedestrian detection. On the other hand, occlusion is one of the commonest problems, which makes nighttime pedestrian detection more challenging. To address the abovementioned problems, this work presents a pedestrian detection framework which consists of Faster R-CNN and a region decomposition branch. The proposed region decomposition branch allows us to detect wider range of the pedestrian appearances including partial body poses and occlusions. From the experimental results, this work demonstrates better detection accuracy than the currently developed CNN-based detection method because of combining the multi-region features.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"13 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":"81008668","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":"Practice of a Two-Stage Model Using Support Vector Regression and Black-Litterman for ETF Portfolio Selection","authors":"Jung-Bin Li, Chuanqi Chen","doi":"10.1109/ISPACS48206.2019.8986236","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986236","url":null,"abstract":"Robo-advisor is a hot topic in the field of financial technology (FinTech) in recent years. This study proposes a programmatic ETF portfolio configuration that combines SVR and Black-Litterman's two-stage model. The results of the study showed that the MSE of the first stage of the model was 2.7970 with good performance. According to the prediction result of the first stage, the parameter setting of the Black-Litterman is performed, and then the model is constructed to further adjust the configuration. The final results show that under the same risk value, the SVM+BL two-stage model proposed by this study has a higher return rate than historical return and implied return. Therefore, it can be provided as a reference for the development of an ETF investment strategy.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"245 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":"76645314","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":"Comparison of Forcasting Ability between Backpropagation Network and ARIMA in the Prediction of Bitcoin Price","authors":"Chung Chen, Jung-Hsin Chang, Fang-Cih Lin, Jui-Cheng Hung, Cheng-Shian Lin, Yi-Hsien Wang","doi":"10.1109/ISPACS48206.2019.8986297","DOIUrl":"https://doi.org/10.1109/ISPACS48206.2019.8986297","url":null,"abstract":"Bitcoin is a peer-to-peer (P2P) electronic currency that allows online payments around the world without the management of a third party. Many studies have been conducted on the performance prediction of the stock market; in particular, the Autoregressive Integrated Moving Average model (ARIMA) is one of the linear regressive models widely used in the time series. Nevertheless, as artificial intelligence has become a heated research topic in modern days, A number of studies have also shown that the Back-propagation Neural Network (BPNN) is very effective in prediction. Hence, this paper compares the ARIMA model with the BPNN model in the prediction of Bitcoin price.","PeriodicalId":6765,"journal":{"name":"2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"62 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":"76308214","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}