2020 International Symposium on Computer, Consumer and Control (IS3C)最新文献_第7页

A New Type 3D Printing Microwave Resonant Cavity for Materials Moisture Sensing 一种用于材料水分传感的新型3D打印微波谐振腔

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00037

Wei Cheng, Jwo-Shiun Sun, Guan-Yu Chen, Chi-Fan Liao, Kelvin Cheng, Chu-Hsien Cheng

引用次数: 0

A Single-Switch LED Tube Light Driver with Coupled-Inductor and Power-Factor-Correction for Indoor Lighting Applications 室内照明应用中具有耦合电感和功率因数校正的单开关LED灯管驱动器

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00069

Chun‐An Cheng, Hung-Liang Cheng, E. Chang, Chien-Hsuan Chang, Su-Wun Lai, Pin-Hao Huang

引用次数: 0

Advanced Superpixel-Based Features and Machine Learning Based Saliency Detection 基于超像素的高级特征和基于机器学习的显著性检测

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00082

Heng-Sheng Lin, Jian-Jiun Ding, Jin-Yu Huang

{"title":"Advanced Superpixel-Based Features and Machine Learning Based Saliency Detection","authors":"Heng-Sheng Lin, Jian-Jiun Ding, Jin-Yu Huang","doi":"10.1109/IS3C50286.2020.00082","DOIUrl":"https://doi.org/10.1109/IS3C50286.2020.00082","url":null,"abstract":"The saliency map simulates human perception and is useful for several image-processing applications. Many advanced saliency detection algorithms applied superpixel-based features instead of pixel-based features for saliency map generation. With superpixels, the high-level features can be extracted and a better saliency detection performance can be achieved. Recently, the convolutional neural network (CNN) has been thrived in computer vision. However, it was difficult to integrate it directly with superpixel-based method since the CNN required grid-like input while a superpixel generally has an irregular size and shape. In this work, several strategies are adopted to well apply machine learning techniques for superpixel-based saliency detection. First, instead of applying the CNN directly, the support vector machine (SVM) is applied as the classifier to well process the feature information. Instead, we apply the CNN ass the pre-processing procedure of superpixel merging. Moreover, several advanced superpixel-based features, including boundary connectivity and manifold rank features, are proposed to improve the accuracy of saliency detection. The simulation results on four datasets show that the proposed algorithm outperform both conventional and learning-based saliency detection methods.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114149814","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

Inverted Pendulum System with Taguchi Proportional-Derivative Control Design as Optimized Parameters Implementing on Embedded System 以田口比例导数控制为优化参数的倒立摆系统在嵌入式系统上的实现

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00130

Bagus Prasetyo, Bo-Lin Jian, H. Yau

引用次数: 1

Research on the Application of Jigsaw Generative Adversarial Network to Face Generation 拼图生成对抗网络在人脸生成中的应用研究

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00014

Zhen-Jie Yu, Sheng-Chih Yang

{"title":"Research on the Application of Jigsaw Generative Adversarial Network to Face Generation","authors":"Zhen-Jie Yu, Sheng-Chih Yang","doi":"10.1109/IS3C50286.2020.00014","DOIUrl":"https://doi.org/10.1109/IS3C50286.2020.00014","url":null,"abstract":"In recent years, the development and research of GAN[1] is nothing more than a change in the number or structure of the generated network. The method of discriminate network is only to map different regional features to different discriminators and integrate them. As we all know, the quality of generator can affect the effectiveness of the entire network directly, but I think the function of the discriminator is the important pillar to support the entire network. So the author proposed a face-generation network named Jigsaw Generative Adversarial Network, which uses a single generator network with a discriminator as a layer. Each layer creates different parts to enhance the authenticity of each part, and then the face is composed in a jigsaw way, and is matched with the style module of Style GAN[2] to achieve more highly build quality. The proposed system can select the desired style for data set generation. For example, you can select the adult male style to generate a data set of all adult men and use this data set for research, or use the extracted style modules to apply to other generation networks and control the direction of the generated graph of the generated network.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133580114","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

Awareness, Knowledge, and Attitude towards Artificial Intelligence: Perspectives of Vietnamese Information Technology Students 越南资讯科技学生对人工智慧的认知、知识与态度

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00142

Pei-Ju Chao, Tsu-Hsuan Hsu, Tsai-Pei Liu, Yu-Huei Cheng

{"title":"Awareness, Knowledge, and Attitude towards Artificial Intelligence: Perspectives of Vietnamese Information Technology Students","authors":"Pei-Ju Chao, Tsu-Hsuan Hsu, Tsai-Pei Liu, Yu-Huei Cheng","doi":"10.1109/IS3C50286.2020.00142","DOIUrl":"https://doi.org/10.1109/IS3C50286.2020.00142","url":null,"abstract":"Artificial intelligence (AI) has been explored to simulate human decision-making processes to improve the lives of people. Such issues include, but not limited to: intelligent personal voice assistant, face-recognition-enabled payments, risk predictor in finance, and a conversational chatbot. According to an analysis report in 2017 by PwC, a well-known financial audit and assurance firm, AI development and its applications will facilitate global GDP at least up to 14% by 2030, which is about the equivalent of an additional $15.7 trillion. The report also noted that China and North America are expected to benefit the most from AI technology, followed by Southern Europe, and the rest Asian countries. Accordingly, AI awareness and its applications are crucial, especially for those who are pursuing Information Technology (IT) and relevant degrees since they will be the next generation of AI designers and users. Vietnam is in the nascent stage of development in technology and communications. The primary objective of this study was to assess knowledge and attitudes toward AI among Vietnamese IT college students. The research participants were selected through a convenient sampling method. The results of the present study provided useful information for educational institutions to evaluate if their existing AI and related curriculums are appropriate for their students.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122085469","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

Deep-learning based automated segmentation of Diabetic Retinopathy symptoms 基于深度学习的糖尿病视网膜病变症状自动分割

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00135

Hung-an Yeh, Cheng-Jhong Lin, Chih-Chung Hsu, Chia-Yen Lee

{"title":"Deep-learning based automated segmentation of Diabetic Retinopathy symptoms","authors":"Hung-an Yeh, Cheng-Jhong Lin, Chih-Chung Hsu, Chia-Yen Lee","doi":"10.1109/IS3C50286.2020.00135","DOIUrl":"https://doi.org/10.1109/IS3C50286.2020.00135","url":null,"abstract":"Purpose: Retinal fundus images are an important basis for reflecting retinal health status, are widely used in clinical diagnosis, and have important significance in fundus image processing and analysis. At present, clinicians rely on manual examination of fundus images when diagnosing retinopathy, which is both time- and labor-consuming. However, the need for rapid auxiliary diagnostic imaging is increasing day by day. Therefore, this study evaluates deep learning as a preprocessing method for optic disc examination along with the method proposed in this study. Methods: During optic disc segmentation, the optic disc region in original images is blurry and unclear compared to the entire image. The halo around the optic disc causes boundaries to become unclear and makes examination difficult. In this paper, different preprocessing methods were used to solve the problem of blurry optic disc region and the effectiveness of the various preprocessing methods was evaluated. Preprocessing methods used in this study to identify optic disc regions that were not apparent in the original image include the original image, green channel, CLAHE, and subtraction of average filter from Gaussian filter (σ=1) using the original image. This preprocessing method is known as local differential filter and was uploaded to U-Net for training. Results: Evaluate the proposed method on the MICCAI REFUGE Challenge 2018 database. In the performance of Dice, the original image is 0.9473; the LDF image is 0.9521; the green channel image is 0.9429; CLAHE image is 0.9499. Conclusions: Currently, deep learning is used in many types of preprocessing for segmentation. In this study, we preprocessed fundus images and inputted them into the model for training. Finally, LDF image was used to obtain the best preprocessing method for optic disc segmentation in fundus images.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122223257","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

Flowmeter Selection for Hygienic Fluid Handling Applications Using Trade-off Analysis 流量计选择卫生流体处理应用使用权衡分析

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00071

Fuhua Jen, Ryan Collin De Leon

{"title":"Flowmeter Selection for Hygienic Fluid Handling Applications Using Trade-off Analysis","authors":"Fuhua Jen, Ryan Collin De Leon","doi":"10.1109/IS3C50286.2020.00071","DOIUrl":"https://doi.org/10.1109/IS3C50286.2020.00071","url":null,"abstract":"There are several types of flowmeters commercially available in the market today. The researchers found ultrasonic and electromagnetic flowmeters the viable alternatives for hygienic fluid handling applications. These types of flowmeters offer full bore un-obstructed pipe, allowing undisturbed fluid when measuring fluid flow. This key feature made these flowmeters easy to clean and maintain. Applications like pharmaceuticals, food and beverages, ink refilling, and the like require this technology for they need no impurities to the fluid they are handling. Hence, the researchers used Trade-off analysis to select between the two viable alternatives the most suitable for hygienic fluid handling like the above-mentioned applications. The researchers selected Compatibility, Accuracy and Repeatability, and Cost as the criteria in the decision-making process. By using the Pairwise weighing method, the researchers come up with each criterion's respective weights of 74.4%, 10.6%, and 15%. With an overall performance of 57.83%, the researchers concluded that between the two alternatives, the ultrasonic flowmeter is the most suitable for hygienic fluid handling applications.","PeriodicalId":143430,"journal":{"name":"2020 International Symposium on Computer, Consumer and Control (IS3C)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125993582","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

Robotic Arm Combined with the Visual Images in a Transparent Object Recognition 机械臂结合视觉图像在透明物体识别中的应用

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00040

Chun-Kuan Chao, Shang-Ya Wu, Zhi-Tong Yan, Min-Long Tsai, Chia-Chi Hsu, Ully Raihany, Cheng-Yu Peng

引用次数: 1

A novel simple light-weight Neural Network for Road Segmentation 一种新的简单轻量级的道路分割神经网络

2020 International Symposium on Computer, Consumer and Control (IS3C) Pub Date : 2020-11-01 DOI: 10.1109/IS3C50286.2020.00101

Peng-Wei Lin, Chih-Ming Hsu

引用次数: 0