Pub Date : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201616
Yu Zeng, Biyu Wan
Recently, salient object detection has achieved significant development. Unfortunately, existing methods mainly depend on color differences, not effective for textured images. This is because the visual patterns of textures cannot be well measured with existing methods. In this paper, we address this challenge by using windowed inherent variation to capture texture information and meanwhile performing edge-ware superpixel segmentation. Thus, superpixels can be well utilized to distinguish contents from textures for improving saliency detection. We further employ background and foreground priors via graph-based manifold ranking to improve saliency estimation. For evaluating our method, we collected 200 textured images from literature to build a dataset. With both qualitative and quantitative evaluations on our dataset and other two benchmarks, the results show that our approach can significantly promote saliency detection in textured images, compared with the other state-of-the-art methods.
{"title":"Saliency Detection in Textured Images","authors":"Yu Zeng, Biyu Wan","doi":"10.1109/ICCSE49874.2020.9201616","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201616","url":null,"abstract":"Recently, salient object detection has achieved significant development. Unfortunately, existing methods mainly depend on color differences, not effective for textured images. This is because the visual patterns of textures cannot be well measured with existing methods. In this paper, we address this challenge by using windowed inherent variation to capture texture information and meanwhile performing edge-ware superpixel segmentation. Thus, superpixels can be well utilized to distinguish contents from textures for improving saliency detection. We further employ background and foreground priors via graph-based manifold ranking to improve saliency estimation. For evaluating our method, we collected 200 textured images from literature to build a dataset. With both qualitative and quantitative evaluations on our dataset and other two benchmarks, the results show that our approach can significantly promote saliency detection in textured images, compared with the other state-of-the-art methods.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"371 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133735730","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}
Pub Date : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201872
Min Li, Yun Guo, Hongge Zhao, Peipei Gao, Gang Wang
In this study, an innovative curriculum construction scheme, which combined the application of MOOC and SPOC was introduced in a detailed manner, including the overall planning of the curriculum design, as well as the construction scheme of MOOC+SPOC. A comparison was conducted with the teaching effectiveness before and after utilizing the SPOC+MOOC curriculum design in higher education, taking the Computer Fundamentals course as an example. What’s more, a survey based on questionnaires were conducted to investigate students’ evaluation of this innovative curriculum construction scheme.
{"title":"The Innovative Curriculum Construction of \"Computer Fundamentals\" Course Based on SPOC+MOOC in Higher Education","authors":"Min Li, Yun Guo, Hongge Zhao, Peipei Gao, Gang Wang","doi":"10.1109/ICCSE49874.2020.9201872","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201872","url":null,"abstract":"In this study, an innovative curriculum construction scheme, which combined the application of MOOC and SPOC was introduced in a detailed manner, including the overall planning of the curriculum design, as well as the construction scheme of MOOC+SPOC. A comparison was conducted with the teaching effectiveness before and after utilizing the SPOC+MOOC curriculum design in higher education, taking the Computer Fundamentals course as an example. What’s more, a survey based on questionnaires were conducted to investigate students’ evaluation of this innovative curriculum construction scheme.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"448 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134458834","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}
Pub Date : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201710
Hexiang Tan, Wen‐Jinn Chen, Libing Qin, Jie Zhu, Haiping Huang
We investigate a deadline-constrained task scheduling problem in the fog computing environments where tasks can be offloaded to heterogeneous resources. Three kinds of resources are involved: mobile device, fog device and cloud server. The objective is to schedule all the tasks with minimum energy consumption. We develop an energy-aware strategy and propose a critical path based iterative algorithm which can obtain the optimal solution in polynomial time complexity. We also discuss the cases when no feasible solution exists. Experimental results show that the proposal is robust and effective for the problems under study.
{"title":"Energy-aware and Deadline-constrained Task Scheduling in Fog Computing Systems","authors":"Hexiang Tan, Wen‐Jinn Chen, Libing Qin, Jie Zhu, Haiping Huang","doi":"10.1109/ICCSE49874.2020.9201710","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201710","url":null,"abstract":"We investigate a deadline-constrained task scheduling problem in the fog computing environments where tasks can be offloaded to heterogeneous resources. Three kinds of resources are involved: mobile device, fog device and cloud server. The objective is to schedule all the tasks with minimum energy consumption. We develop an energy-aware strategy and propose a critical path based iterative algorithm which can obtain the optimal solution in polynomial time complexity. We also discuss the cases when no feasible solution exists. Experimental results show that the proposal is robust and effective for the problems under study.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124453605","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}
Pub Date : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201664
Shuang Li, Ran Li, Y. Lou, Yingnan Yu
Using virtual reality and other techniques, the system can fully and clearly display the anatomical structure under the beating state of the heart, and systematically realize the online students'autonomous simulation training; offline classroom virtual intelligence teaching; surgical operation room simulation; intelligent evaluation, etc., and through multi-modal learning methods, students can fully understand and master the relationship between adjacency and spatial position between anatomical structures, and have a comprehensive and in-depth understanding of myocardial diseases, coronary atherosclerosis, pericarditis treatment and pacemaker installation.
{"title":"Research and Development of Teaching System of 3D Cardiac Anatomy Based on Virtual Reality","authors":"Shuang Li, Ran Li, Y. Lou, Yingnan Yu","doi":"10.1109/ICCSE49874.2020.9201664","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201664","url":null,"abstract":"Using virtual reality and other techniques, the system can fully and clearly display the anatomical structure under the beating state of the heart, and systematically realize the online students'autonomous simulation training; offline classroom virtual intelligence teaching; surgical operation room simulation; intelligent evaluation, etc., and through multi-modal learning methods, students can fully understand and master the relationship between adjacency and spatial position between anatomical structures, and have a comprehensive and in-depth understanding of myocardial diseases, coronary atherosclerosis, pericarditis treatment and pacemaker installation.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123160531","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}
Pub Date : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201831
Zetian Guo, Yingyue Chen
With the continuous improvement of Internet status, The number of computer courses offered by colleges and universities has increased, The computer equipment in the laboratory has increased dramatically, The device problems caused are becoming more prominent. In order to solve the problems of missed hearing and untimely repair caused by traditional telephone reporting, In this paper, a laboratory fault reporting system is designed to serve the laboratory management, Speed up the speed of fault reporting, Optimize the process of repair report, And the data statistical analysis is carried out, Thereby improving the service level of the management team and forming a complete fault handling emergency mechanism, It can guarantee the normal progress of experimental teaching activities.
{"title":"Design and Implementation of Laboratory Fault Reporting System Based on Asp.net","authors":"Zetian Guo, Yingyue Chen","doi":"10.1109/ICCSE49874.2020.9201831","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201831","url":null,"abstract":"With the continuous improvement of Internet status, The number of computer courses offered by colleges and universities has increased, The computer equipment in the laboratory has increased dramatically, The device problems caused are becoming more prominent. In order to solve the problems of missed hearing and untimely repair caused by traditional telephone reporting, In this paper, a laboratory fault reporting system is designed to serve the laboratory management, Speed up the speed of fault reporting, Optimize the process of repair report, And the data statistical analysis is carried out, Thereby improving the service level of the management team and forming a complete fault handling emergency mechanism, It can guarantee the normal progress of experimental teaching activities.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125426267","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}
Pub Date : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201880
Y. Xi, Bin Li, Zhan Zhang, Yuehai Wang
Speech enhancement (SE) plays an important role in the domain of speech recognition and speech evaluation. As for the previous time-frequency based SE methods, we find that the denoise network may cause damage to the structure of the speech spectrum and will lead to a discontinuity of the auditory perception. In contrast to the existing approaches that train networks directly, we propose a two-stage based method called ShareNet. We first train a convolutional neural network to perform noise reduction, and then we stack these two pretrained blocks while keeping the parameters shared. We set different input data to train each block in different stages so that the parameters can be adapted to perform both denoising and repairing tasks. The experimental results show that the proposed method is effective for speech enhancement tasks. We compare our method with conventional algorithms and convolutional neural networks (CNN) based speech enhancement techniques. The experiment results demonstrate that our method can get an improvement over several objective metrics.
{"title":"Shared Network for Speech Enhancement Based on Multi-Task Learning","authors":"Y. Xi, Bin Li, Zhan Zhang, Yuehai Wang","doi":"10.1109/ICCSE49874.2020.9201880","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201880","url":null,"abstract":"Speech enhancement (SE) plays an important role in the domain of speech recognition and speech evaluation. As for the previous time-frequency based SE methods, we find that the denoise network may cause damage to the structure of the speech spectrum and will lead to a discontinuity of the auditory perception. In contrast to the existing approaches that train networks directly, we propose a two-stage based method called ShareNet. We first train a convolutional neural network to perform noise reduction, and then we stack these two pretrained blocks while keeping the parameters shared. We set different input data to train each block in different stages so that the parameters can be adapted to perform both denoising and repairing tasks. The experimental results show that the proposed method is effective for speech enhancement tasks. We compare our method with conventional algorithms and convolutional neural networks (CNN) based speech enhancement techniques. The experiment results demonstrate that our method can get an improvement over several objective metrics.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131991141","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}
Pub Date : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201782
J. Jost, Benedikt Mättig, T. Schneider
In this article, an approach is presented in which transports in a production facility are performed by self-controlling and self-managing agents. In this context, the organization is carried out by a decentralized multi-agent system and is roughly oriented on the model of the market economy. It is to be shown that a system of heterogeneous transport resources can organize itself independently and are self-optimized, fulfilling all requirements to transport parts to the respective processing points at the right time. The heterogeneous system shall be represented in this consideration by three different transport resources including the human worker. Different aspects of the market economy are implemented via cost-benefit functions of the agents and in decision making processes. The benefits of those aspects for the overall system e.g. workload are investigated.
{"title":"A Novel Heterogeneous Multi-Agent System for Production Processes Based on the Market Economy","authors":"J. Jost, Benedikt Mättig, T. Schneider","doi":"10.1109/ICCSE49874.2020.9201782","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201782","url":null,"abstract":"In this article, an approach is presented in which transports in a production facility are performed by self-controlling and self-managing agents. In this context, the organization is carried out by a decentralized multi-agent system and is roughly oriented on the model of the market economy. It is to be shown that a system of heterogeneous transport resources can organize itself independently and are self-optimized, fulfilling all requirements to transport parts to the respective processing points at the right time. The heterogeneous system shall be represented in this consideration by three different transport resources including the human worker. Different aspects of the market economy are implemented via cost-benefit functions of the agents and in decision making processes. The benefits of those aspects for the overall system e.g. workload are investigated.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"59 28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116818849","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}
Pub Date : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201656
Ping Zong, J. Jiang, Jun Qin
With the rapid development of big data, the scale, dimensions, diversity and sparsity of high-dimensional data restrict the effectiveness of traditional clustering algorithms. This paper mainly focuses on high-dimensional data clustering. Starting from the traditional K-means clustering algorithm and subspace clustering algorithm based on self-representation model, an improved algorithm is designed and implemented based on the existing clustering algorithm in this paper. The improved algorithm has better clustering quality by combining the "distance optimization method" and the "density method" to determine the initial clustering center. The feasibility and effectiveness of improved algorithm are verified through simulation experiments.
{"title":"Study of High-Dimensional Data Analysis based on Clustering Algorithm","authors":"Ping Zong, J. Jiang, Jun Qin","doi":"10.1109/ICCSE49874.2020.9201656","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201656","url":null,"abstract":"With the rapid development of big data, the scale, dimensions, diversity and sparsity of high-dimensional data restrict the effectiveness of traditional clustering algorithms. This paper mainly focuses on high-dimensional data clustering. Starting from the traditional K-means clustering algorithm and subspace clustering algorithm based on self-representation model, an improved algorithm is designed and implemented based on the existing clustering algorithm in this paper. The improved algorithm has better clustering quality by combining the \"distance optimization method\" and the \"density method\" to determine the initial clustering center. The feasibility and effectiveness of improved algorithm are verified through simulation experiments.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115158013","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}
Pub Date : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201755
A. Rababaah
This paper presents the development of a new small programming language named SIMPLE, "Simple Imperative-Model Programming Language for Education. The motivations for the development of this new language stems from the lack of literature for practical efforts and guidelines to develop programming languages bottom-up from scratch. We believe that exposing students to the process of creating a programming language carries significant educational benefits and real experience in a serious project. Further, we discuss the language grammar and demonstrate its main elements and features. The new language has been tested extensively using 60+ programs designed to evaluate all elements of the language
{"title":"A New Simple Programming Language for Education","authors":"A. Rababaah","doi":"10.1109/ICCSE49874.2020.9201755","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201755","url":null,"abstract":"This paper presents the development of a new small programming language named SIMPLE, \"Simple Imperative-Model Programming Language for Education. The motivations for the development of this new language stems from the lack of literature for practical efforts and guidelines to develop programming languages bottom-up from scratch. We believe that exposing students to the process of creating a programming language carries significant educational benefits and real experience in a serious project. Further, we discuss the language grammar and demonstrate its main elements and features. The new language has been tested extensively using 60+ programs designed to evaluate all elements of the language","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116108769","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}
Pub Date : 2020-08-01DOI: 10.1109/ICCSE49874.2020.9201640
Kohki Nakane, Rentaro Ono, Shota Yamamoto, M. Takada, Fumiya Kinoshita, A. Sugiura, Y. Matsuura, Kazuhiro Fujikake, H. Takada
We have applied this artificial intelligence (AI) system to numerical simulations of the stabilogram whose randomness is remarkably greater than that of the other bio-signal in accordance with the nonlinear analysis. We have succeeded in findings of the mathematical models of the body sway in the elderly with use of the Generative Adversarial Networks (GANs). Trying to visualize internal state of the discriminator layer in our GAN, we can discuss how the AI captures the feature of patterns in the stabilograms recorded during the 3D sickness. Especially in the stabilograms measured during the 3D sickness, cusp patterns could be extracted as a high contribution to the output of the discriminator.
{"title":"Numerical Analysis of Body Sway for Evaluation of 3D Sickness","authors":"Kohki Nakane, Rentaro Ono, Shota Yamamoto, M. Takada, Fumiya Kinoshita, A. Sugiura, Y. Matsuura, Kazuhiro Fujikake, H. Takada","doi":"10.1109/ICCSE49874.2020.9201640","DOIUrl":"https://doi.org/10.1109/ICCSE49874.2020.9201640","url":null,"abstract":"We have applied this artificial intelligence (AI) system to numerical simulations of the stabilogram whose randomness is remarkably greater than that of the other bio-signal in accordance with the nonlinear analysis. We have succeeded in findings of the mathematical models of the body sway in the elderly with use of the Generative Adversarial Networks (GANs). Trying to visualize internal state of the discriminator layer in our GAN, we can discuss how the AI captures the feature of patterns in the stabilograms recorded during the 3D sickness. Especially in the stabilograms measured during the 3D sickness, cusp patterns could be extracted as a high contribution to the output of the discriminator.","PeriodicalId":350703,"journal":{"name":"2020 15th International Conference on Computer Science & Education (ICCSE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122626269","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}
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