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2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)最新文献

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IMFs and RF energy distribution characteristic analysis of blue whale vocalizations 蓝鲸发声的电磁场和射频能量分布特征分析
2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2021-11-16 DOI: 10.1109/ISPACS51563.2021.9651044
Chai-Sheng Wen, Chin-Feng Lin, Shun-Hsyung Chang
{"title":"IMFs and RF energy distribution characteristic analysis of blue whale vocalizations","authors":"Chai-Sheng Wen, Chin-Feng Lin, Shun-Hsyung Chang","doi":"10.1109/ISPACS51563.2021.9651044","DOIUrl":"https://doi.org/10.1109/ISPACS51563.2021.9651044","url":null,"abstract":"This paper presents the intrinsic mode functions (IMFs) and residue function (RF) energy distribution characteristic analysis technology for blue whale vocalizations. Blue whale vocalization were downloaded from the Scripps Whale Acoustics Lab [7] of the University of California San Diego website; blue whale type B-calls with six blue whale vocalization samples were analyzed. Four IMFs and one RF were disassembled from the samples using the empirical mode decomposition (EMD) method. The average energy distribution ratio characteristics of IMFs and RF were presented, and the Hilbert spectrum (HS) characteristics with time-frequency-energy distribution were obtained. The analysis results show that the average energy distribution ratios of the blue whale vocalizations of IMF1, IMF2, IMF3, and IMF4, were 3.58% in the 250-310Hz frequency band during the intervals of 3.5–3.53ms, 2.69% in the 60-100Hz frequency band during the intervals of 2.54–2.57ms, 4.30% in the 40-50Hz frequency band during the intervals of 3.14–3.17ms, and 4.04% in the 20-30Hz frequency band during the intervals of 3.05–3.08ms, respectively. This study helps us understand the Hilbert spectrum (HS) features of blue whale vocalizations.","PeriodicalId":359822,"journal":{"name":"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"446 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123593316","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}
引用次数: 1
The Whale Optimization Algorithm Based on Speed-Up Robust Feature to Improve the Speed of Object Searching 基于加速鲁棒特征的鲸鱼优化算法提高目标搜索速度
2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2021-11-16 DOI: 10.1109/ISPACS51563.2021.9650998
Jui-Chuan Cheng, Meng-Tang Guo
{"title":"The Whale Optimization Algorithm Based on Speed-Up Robust Feature to Improve the Speed of Object Searching","authors":"Jui-Chuan Cheng, Meng-Tang Guo","doi":"10.1109/ISPACS51563.2021.9650998","DOIUrl":"https://doi.org/10.1109/ISPACS51563.2021.9650998","url":null,"abstract":"Speed-Up Robust Feature (SURF) is one of the methods for extracting image features and matching. This paper proposes the object search method based on the whale optimization algorithm that inherits the previous global best value (IGP-WOA), which has the advantages of fast convergence and multiple search methods. In addition, we use integral images to find the fitness value (IGP-WOA-CII) in the target function calculation, thereby reducing the time spent on SURF extraction and matching.","PeriodicalId":359822,"journal":{"name":"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128346172","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}
引用次数: 0
Applying the Cyber-Physical Integration Technology on Material Color Discrimination 信息物理集成技术在材料颜色识别中的应用
2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2021-11-16 DOI: 10.1109/ISPACS51563.2021.9650924
W. Shyr, Fan-Yu Shih, Yu-Jia Chang
{"title":"Applying the Cyber-Physical Integration Technology on Material Color Discrimination","authors":"W. Shyr, Fan-Yu Shih, Yu-Jia Chang","doi":"10.1109/ISPACS51563.2021.9650924","DOIUrl":"https://doi.org/10.1109/ISPACS51563.2021.9650924","url":null,"abstract":"This study adopted cyber physical system (CPS) with the entity physical component and the cyber factory then developed the cyber-physical integration application scheme in an innovative and integrated way for material color discrimination in automation system. First, the optical fiber amplifier of the solid mechanism was adopted to detect the color value of materials, and then it was transmitted to programmable logic controller (PLC) for calculation and analysis to judge the colors of materials. Based on the results, the materials were sent to the cyber factory for operation. With human-machine interface (HMI) as the main axis of operation, the automatic system for cyber-physical integration was constructed by integrating the material color discrimination system of entity mechanism and the automatic cyber factory built by simulation software.","PeriodicalId":359822,"journal":{"name":"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133500320","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}
引用次数: 0
A New Diverse Dataset and Comparison of Algorithms for Pedestrian Detection in Top-View Fisheye Images 一种新的多样化数据集及俯视鱼眼图像行人检测算法比较
2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2021-11-16 DOI: 10.1109/ISPACS51563.2021.9651008
Sheng-Ho Chiang, T. Wang, Yi-Fu Chen
{"title":"A New Diverse Dataset and Comparison of Algorithms for Pedestrian Detection in Top-View Fisheye Images","authors":"Sheng-Ho Chiang, T. Wang, Yi-Fu Chen","doi":"10.1109/ISPACS51563.2021.9651008","DOIUrl":"https://doi.org/10.1109/ISPACS51563.2021.9651008","url":null,"abstract":"Pedestrian detection in images has been extensively researched, however existing detectors designed for perspective images usually fail to detect people on top-view fisheye images due to the various appearances of people. In this paper, we establish a new diverse fisheye dataset which consist of indoor and outdoor fisheye images from public and private datasets. We also adapt three types of spatial transformation to make the visual look of the pedestrians as upright as possible and four commonly used algorithms for pedestrian detection without retraining of the detector models. In addition, we analyze the pedestrian detection results with different conditions to figure out the reason of the results.","PeriodicalId":359822,"journal":{"name":"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133435462","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}
引用次数: 0
Fish Farm Management System Based on IoT 基于物联网的养鱼场管理系统
2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2021-11-16 DOI: 10.1109/ISPACS51563.2021.9651086
Yi-Chen Wu, Chiung-Hsing Chen, Shao-En Kao, Jwu-Jenq Chen
{"title":"Fish Farm Management System Based on IoT","authors":"Yi-Chen Wu, Chiung-Hsing Chen, Shao-En Kao, Jwu-Jenq Chen","doi":"10.1109/ISPACS51563.2021.9651086","DOIUrl":"https://doi.org/10.1109/ISPACS51563.2021.9651086","url":null,"abstract":"The torrential rains brought by typhoons in Taiwan during the summer often cause huge losses to aquaculture, while cold snap in winter cause the sudden death of the milkfish. Simultaneously, the lack of manpower is also one of the potential problems. Based on the above factors, this paper uses wireless transmission technology with various sensors to transmit the data to the server. It can increase the productive capacity and effectively reduce the mortality rate and manpower costs. Since the pH sensor cannot be placed in the water for a long time to measure, it takes manpower and time to take the instrument to the fish farm for detection. Therefore, a robotic arm was developed to complete a series of automatic measurement and maintenance actions. In this way, this design can improve the problem of contamination of the pH sensor and avoid the measurement error. This intelligent system can work twenty-four hours a day and effectively reduce the loss of personnel, material, and data errors.","PeriodicalId":359822,"journal":{"name":"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133110444","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}
引用次数: 1
Designing Secure Sparse Coding via Multiple Random Unitary Transforms 基于多重随机酉变换的安全稀疏编码设计
2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2021-11-16 DOI: 10.1109/ISPACS51563.2021.9651079
T. Nakachi, Y. Bandoh
{"title":"Designing Secure Sparse Coding via Multiple Random Unitary Transforms","authors":"T. Nakachi, Y. Bandoh","doi":"10.1109/ISPACS51563.2021.9651079","DOIUrl":"https://doi.org/10.1109/ISPACS51563.2021.9651079","url":null,"abstract":"In this paper, we propose a design method of secure sparse coding via multiple random unitary transforms (RUTs). The proposed method operates as an Encryption-then-Compression (EtC) system. The multiple RUTs will increase the security strength of the secure sparse coding. Despite the improvement in security strength, the rate-distortion performance does not deteriorate. It provides the same rate-distortion performance as that of sparse coding without encryption. We demonstrate its performance via simulation.","PeriodicalId":359822,"journal":{"name":"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114159086","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}
引用次数: 0
Saliency-based Active Contour Model for Image Segmentation and Region Detection 基于显著性的主动轮廓图像分割和区域检测模型
2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2021-11-16 DOI: 10.1109/ISPACS51563.2021.9651050
Aditi Joshi, Mohammed Saquib Khan, Usman Asim, A. Munir, H. Song, K. Choi
{"title":"Saliency-based Active Contour Model for Image Segmentation and Region Detection","authors":"Aditi Joshi, Mohammed Saquib Khan, Usman Asim, A. Munir, H. Song, K. Choi","doi":"10.1109/ISPACS51563.2021.9651050","DOIUrl":"https://doi.org/10.1109/ISPACS51563.2021.9651050","url":null,"abstract":"In this paper, we propose a novel saliency-based active contour model for image segmentation and region detection (SAIR) to overcome the problems of noise and intensity inhomogeneity in image segmentation. The proposed new level set protocol evolves adaptively and eliminates the need for initialization. In the proposed energy function, we formulate an adaptive weight function that adaptively changes the intensity of the internal and external energy functions according to the image. Moreover, according to the inner and outer regions, modulating the signs in the proposed energy function influences the elimination of noise in the image. Finally, SAIR is tested on multiple images with different initial contour positions, intensity inhomogeneity, and noise to demonstrate the robustness of SAIR.","PeriodicalId":359822,"journal":{"name":"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114875924","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}
引用次数: 0
Identification of Station Importance of Taipei Metro Network Using Subgraph Centrality 基于子图中心性的台北市地铁车站重要性辨识
2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2021-11-16 DOI: 10.1109/ISPACS51563.2021.9651098
C. Tseng, Su-Ling Lee
{"title":"Identification of Station Importance of Taipei Metro Network Using Subgraph Centrality","authors":"C. Tseng, Su-Ling Lee","doi":"10.1109/ISPACS51563.2021.9651098","DOIUrl":"https://doi.org/10.1109/ISPACS51563.2021.9651098","url":null,"abstract":"In this paper, the identification of station importance of Taipei metro network using subgraph centrality is presented. First, the subgraph centrality that is a generalization of degree centrality is described. Then, many matrix functions are used to define subgraph centrality including matrix exponential, matrix logarithm and matrix hyperbolic cosine. Next, to simplify the computation of matrix function, the power series truncation method is employed to get an approximation of matrix function such that it can be calculated by the matrix polynomial method. Finally, the identification of station importance of Taipei metro network is demonstrated to show the effectiveness of the proposed centrality computation method.","PeriodicalId":359822,"journal":{"name":"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116004178","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}
引用次数: 2
Design of High-efficiency Natural Image Embedded Hardware Surveillance System 高效自然图像嵌入式硬件监控系统的设计
2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2021-11-16 DOI: 10.1109/ISPACS51563.2021.9651067
Ting-Yu Lin, Jen-Shiun Chiang, Cheng Wei, Yu-Shian Lin
{"title":"Design of High-efficiency Natural Image Embedded Hardware Surveillance System","authors":"Ting-Yu Lin, Jen-Shiun Chiang, Cheng Wei, Yu-Shian Lin","doi":"10.1109/ISPACS51563.2021.9651067","DOIUrl":"https://doi.org/10.1109/ISPACS51563.2021.9651067","url":null,"abstract":"Although the surveillance system can capture images loyal to the realistic scene, the captured images may not have clear texture performances, and the characteristics of brightness cannot provide the Human Visual System (HVS) pleasure sense. In view of this, many surveillance systems in the market have also added contrast enhancement functions on line with market demand. Although the current surveillance system products on the market have a contrast-enhancement architecture, they sacrifice the necessary real-time processing performance of the surveillance system, resulting in extremely large memory usage and long computing time. Therefore, this work aims to improve Parametric-Oriented Histogram Equalization (POHE), design an improved integral image algorithm in the hardware architecture, and solves the problem of excessive memory usage of the original POHE by using a counter.","PeriodicalId":359822,"journal":{"name":"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":" 28","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133121122","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}
引用次数: 0
Underwater 3D Object Reconstruction for Fish Length Estimation Using Convolutional Neural Networks 利用卷积神经网络进行水下三维物体重构以估算鱼体长度
2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2021-11-16 DOI: 10.1109/ISPACS51563.2021.9651057
Naomi Ubiña, Sin-Yi Cai, Shyi-Chyi Cheng, Chin-Chun Chang, Yi-Zeng Hsieh
{"title":"Underwater 3D Object Reconstruction for Fish Length Estimation Using Convolutional Neural Networks","authors":"Naomi Ubiña, Sin-Yi Cai, Shyi-Chyi Cheng, Chin-Chun Chang, Yi-Zeng Hsieh","doi":"10.1109/ISPACS51563.2021.9651057","DOIUrl":"https://doi.org/10.1109/ISPACS51563.2021.9651057","url":null,"abstract":"The challenge in stereo matching for underwater 3D object modeling is to compute dense depth data with the minimal smoothness at high frame rate. To address this issue, in this paper we propose an object based stereo matching for underwater 3D fish reconstruction using convolutional neural networks (CNNs). For each image in a stereo frame, an instance segmentation CNN is used to segment fish objects from the background. The set of fish objects in the left image is matched against those in the right to detect the object pairs using the proposed support-weights approach. For each pair, the common disparity value is then computed. Next, fish objects in these images are cropped and matched to do the pixel-wise residual disparity computation using the video interpolation CNN. The computed fish disparities and depth values are finally used to estimate the sizes of fish. Instead of estimating the fish length using a single frame, we track each fish across frames of the input stereo video to compute the fish length frame by frame. The mean fish length is finally computed as the result. An underwater dataset with the fish actual length measured by human is constructed to verify the effectiveness of our approach. Experimental results show that the error rate of the proposed approach is less than 6%.","PeriodicalId":359822,"journal":{"name":"2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130574970","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}
引用次数: 0
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