Pub Date : 2020-05-01DOI: 10.1109/ICCCS49078.2020.9118570
Guoqing Deng, Yangguang Zhao, Long Zhang, Zhigang Li, Yong Liu, Yi Zhang, Bin Li
In order to guide the production of cigarette products and improve the quality of cigarette products, this paper proposes a classification method for cigarette combustion cones based on deep convolutional neural network model. The method is optimized based on the Inception Resnet V2 model and is innovatively used in the detection of cigarette burning cones. The classification accuracy of combustion cone fallout is characterized by the overall classification accuracy (OA) and the Kappa coefficient (Kappa). The experimental results show that the overall classification accuracy is 97.22%, and the Kappa coefficient is 0.9583. The deep convolutional neural network has better classification effect. Based on the classification method of deep convolutional neural network, the cigarette burning cone can be accurately identified.
{"title":"Image Classification and Detection of Cigarette Combustion Cone Based on Inception Resnet V2","authors":"Guoqing Deng, Yangguang Zhao, Long Zhang, Zhigang Li, Yong Liu, Yi Zhang, Bin Li","doi":"10.1109/ICCCS49078.2020.9118570","DOIUrl":"https://doi.org/10.1109/ICCCS49078.2020.9118570","url":null,"abstract":"In order to guide the production of cigarette products and improve the quality of cigarette products, this paper proposes a classification method for cigarette combustion cones based on deep convolutional neural network model. The method is optimized based on the Inception Resnet V2 model and is innovatively used in the detection of cigarette burning cones. The classification accuracy of combustion cone fallout is characterized by the overall classification accuracy (OA) and the Kappa coefficient (Kappa). The experimental results show that the overall classification accuracy is 97.22%, and the Kappa coefficient is 0.9583. The deep convolutional neural network has better classification effect. Based on the classification method of deep convolutional neural network, the cigarette burning cone can be accurately identified.","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121238260","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 : 2020-05-01DOI: 10.1109/ICCCS49078.2020.9118589
Rui Li, Yongfu Zhang, Lihui Peng, X. Liao
Image reconstruction algorithm is essential for electrical capacitance tomography (ECT), which is still in the stage of popular research. With the development of image reconstruction algorithm, high-quality image is the key challenge for ECT all long. The paper proposes a kind of novel-image-reconstruction-algorithm for ECT using parametric level-set method to obtain high-image quality. Based on the relationship between dielectric constant distribution and capacitance value in the sensitivity area, parametric level set algorithm is capable of realizing absolute values ECT reconstruction. The paper presented simulation results of reconstructing the permittivity profiles of different water leakage using parametric level set method (PLS). Comparing with the state of the art image reconstruction algorithm, such as LBP regularization, landweber iterative algorithm and total variational regularization, the proposed method has better image quality, especially with high contrast multiphase data. PLS adopts Gaussian radial basis function (GRBF), which considerably reduces the number of unknowns. The parametric level set method can avoid the problem of regularization coefficients involved in the calculation process and reduce the Ill-posed Problem of image reconstruction. The proposed PLS method has demonstrated the superior image quality and better noise ratio (SNR).
{"title":"An Image Reconstruction For Electrical Capacitance Tomography Using Parametric Level Set","authors":"Rui Li, Yongfu Zhang, Lihui Peng, X. Liao","doi":"10.1109/ICCCS49078.2020.9118589","DOIUrl":"https://doi.org/10.1109/ICCCS49078.2020.9118589","url":null,"abstract":"Image reconstruction algorithm is essential for electrical capacitance tomography (ECT), which is still in the stage of popular research. With the development of image reconstruction algorithm, high-quality image is the key challenge for ECT all long. The paper proposes a kind of novel-image-reconstruction-algorithm for ECT using parametric level-set method to obtain high-image quality. Based on the relationship between dielectric constant distribution and capacitance value in the sensitivity area, parametric level set algorithm is capable of realizing absolute values ECT reconstruction. The paper presented simulation results of reconstructing the permittivity profiles of different water leakage using parametric level set method (PLS). Comparing with the state of the art image reconstruction algorithm, such as LBP regularization, landweber iterative algorithm and total variational regularization, the proposed method has better image quality, especially with high contrast multiphase data. PLS adopts Gaussian radial basis function (GRBF), which considerably reduces the number of unknowns. The parametric level set method can avoid the problem of regularization coefficients involved in the calculation process and reduce the Ill-posed Problem of image reconstruction. The proposed PLS method has demonstrated the superior image quality and better noise ratio (SNR).","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121375987","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 : 2020-05-01DOI: 10.1109/ICCCS49078.2020.9118549
Xinglin Gong, Erwu Liu, Rui Wang
Blockchain technology can be used to track billions of interconnected devices, enabling secure data exchange and data processing. The decentralized and autonomous ability of the blockchain makes it an ideal solution for Internet of Things(IoT) applications. In this paper, we explore a basic IoT-Blockchain fusion model with four layers which contains different types of IoT devices. Distributed file system is considered in the model to store huge amount of IoT data. Then, a case study for blockchain-based IoT application, a Machine-to-Machine(M2M) autonomous trading system, is proposed on the Ethereum blockchain. We build smart contracts for device registration, data storage, service provision and fair payment, and the proof-of-concept is implemented using two Raspberry Pis to interact with smart contracts. The proposed system verifies that blockchain could improve IoT applications in transparency, traceability and security.
{"title":"Blockchain-Based IoT Application Using Smart Contracts: Case Study of M2M Autonomous Trading","authors":"Xinglin Gong, Erwu Liu, Rui Wang","doi":"10.1109/ICCCS49078.2020.9118549","DOIUrl":"https://doi.org/10.1109/ICCCS49078.2020.9118549","url":null,"abstract":"Blockchain technology can be used to track billions of interconnected devices, enabling secure data exchange and data processing. The decentralized and autonomous ability of the blockchain makes it an ideal solution for Internet of Things(IoT) applications. In this paper, we explore a basic IoT-Blockchain fusion model with four layers which contains different types of IoT devices. Distributed file system is considered in the model to store huge amount of IoT data. Then, a case study for blockchain-based IoT application, a Machine-to-Machine(M2M) autonomous trading system, is proposed on the Ethereum blockchain. We build smart contracts for device registration, data storage, service provision and fair payment, and the proof-of-concept is implemented using two Raspberry Pis to interact with smart contracts. The proposed system verifies that blockchain could improve IoT applications in transparency, traceability and security.","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122466808","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 : 2020-05-01DOI: 10.1109/ICCCS49078.2020.9118453
Haiying Yuan, Tong Zheng, Kai Zhang, Yichen Wang
Time-Triggered Ethernet (TTEthernet) efficiently integrates distributed applications with different security levels and real-time requirements in the mixed-criticality system. The key of TTEthernet is the time-triggered mechanism that is achieved by following statically time slot schedule. In the paper, the network model and constraint model are mathematically detailed and exemplified. Constraint programming technology based on ILOG CPLEX is applied innovatively in solve the TTEthernet schedule synthesis problem. Finally, three topologies and two message density scenarios are set up to evaluate the performance of the algorithm in variables, constraint, memory occupancy, and synthesis time dimensions. Numerous experiment results show that the schedule synthesis method is well qualified for the schedules synthesis tasks of TTEthernet.
{"title":"An Efficient Schedule Synthesis Method based on Constraint Programming Technology for Time-Triggered Ethernet","authors":"Haiying Yuan, Tong Zheng, Kai Zhang, Yichen Wang","doi":"10.1109/ICCCS49078.2020.9118453","DOIUrl":"https://doi.org/10.1109/ICCCS49078.2020.9118453","url":null,"abstract":"Time-Triggered Ethernet (TTEthernet) efficiently integrates distributed applications with different security levels and real-time requirements in the mixed-criticality system. The key of TTEthernet is the time-triggered mechanism that is achieved by following statically time slot schedule. In the paper, the network model and constraint model are mathematically detailed and exemplified. Constraint programming technology based on ILOG CPLEX is applied innovatively in solve the TTEthernet schedule synthesis problem. Finally, three topologies and two message density scenarios are set up to evaluate the performance of the algorithm in variables, constraint, memory occupancy, and synthesis time dimensions. Numerous experiment results show that the schedule synthesis method is well qualified for the schedules synthesis tasks of TTEthernet.","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127700805","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 : 2020-05-01DOI: 10.1109/ICCCS49078.2020.9118440
Qi-pei Qian, Kai-xuan Bao, Kai Zhao, Yin Lu
Predicting the impact of open residential roads will have significance not only for transportation planning and economic development, but also for the enhancement of human society. Aiming at the problem of different road and community structure, this paper considers the road length, road speed limit, traffic volume, traffic lights, and other factors to improve the traffic capability. Then uses nonlinear programming to obtain the optimal solution based on BPR road impedance model. Finally, based on different residential road structures and traffic pressure, the enhancement of open residential roads is compared to find out which road structure is optimal for opening.
{"title":"Research on the Impact of Open Residential Roads on Traffic Capability","authors":"Qi-pei Qian, Kai-xuan Bao, Kai Zhao, Yin Lu","doi":"10.1109/ICCCS49078.2020.9118440","DOIUrl":"https://doi.org/10.1109/ICCCS49078.2020.9118440","url":null,"abstract":"Predicting the impact of open residential roads will have significance not only for transportation planning and economic development, but also for the enhancement of human society. Aiming at the problem of different road and community structure, this paper considers the road length, road speed limit, traffic volume, traffic lights, and other factors to improve the traffic capability. Then uses nonlinear programming to obtain the optimal solution based on BPR road impedance model. Finally, based on different residential road structures and traffic pressure, the enhancement of open residential roads is compared to find out which road structure is optimal for opening.","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133898659","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 : 2020-05-01DOI: 10.1109/ICCCS49078.2020.9118596
Jianwei Zhang, Tao Han, Yajun Li, Jinghu Li
SRAM-based Field Programmable Gate Array (FPGA) is vulnerable to the serious radiation effects represented by Single Event Upset (SEU) effect in space. Triple Modular Redundancy (TMR) and configuration scrubbing are effective methods of FPGA radiation protection, but each has its own shortcomings: TMR structure can’t correct errors, and scrub circuit, also called “scrubber”, is sensitive to radiation. In response to the problem, this paper proposes a Real-time Redundant Scrubbing (RRS) system. Based on the traditional configuration scrubbing, TMR structure is applied to the scrubber. And the error indicator is added to the traditional TMR structure. When the scrubber has errors due to SEU, the scrubber will be scrubbed in real-time to prevent error accumulation. In addition, the floorplan of the three redundant logic is distributed to avoid the influence of a SEU on multiple redundant logic at the same time. In this paper, the anti-radiation capability of the proposed RRS system is evaluated by random fault injection. The test results show that the anti-radiation capability of the RRS system is more than 2 times higher than that of traditional configuration scrubbing system.
{"title":"Real-Time Redundant Scrubbing (RRS) System for Radiation Protection on SRAM-Based FPGA","authors":"Jianwei Zhang, Tao Han, Yajun Li, Jinghu Li","doi":"10.1109/ICCCS49078.2020.9118596","DOIUrl":"https://doi.org/10.1109/ICCCS49078.2020.9118596","url":null,"abstract":"SRAM-based Field Programmable Gate Array (FPGA) is vulnerable to the serious radiation effects represented by Single Event Upset (SEU) effect in space. Triple Modular Redundancy (TMR) and configuration scrubbing are effective methods of FPGA radiation protection, but each has its own shortcomings: TMR structure can’t correct errors, and scrub circuit, also called “scrubber”, is sensitive to radiation. In response to the problem, this paper proposes a Real-time Redundant Scrubbing (RRS) system. Based on the traditional configuration scrubbing, TMR structure is applied to the scrubber. And the error indicator is added to the traditional TMR structure. When the scrubber has errors due to SEU, the scrubber will be scrubbed in real-time to prevent error accumulation. In addition, the floorplan of the three redundant logic is distributed to avoid the influence of a SEU on multiple redundant logic at the same time. In this paper, the anti-radiation capability of the proposed RRS system is evaluated by random fault injection. The test results show that the anti-radiation capability of the RRS system is more than 2 times higher than that of traditional configuration scrubbing system.","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122409155","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 : 2020-05-01DOI: 10.1109/ICCCS49078.2020.9118581
Yunjie Fang, Jingcheng Ye, Hao Wang
In order to reduce the labor cost of invigilation, improve invigilation efficiency and deal with violations in real time, this paper designs and implements an intelligent invigilation system from two aspects of hardware and software. The system on the basis of the standardized test in video monitoring system, aiming at solving the problem that the traditional EM algorithm is sensitive to initial value, this paper puts forward an improved method to make supervised learning image and human body’s contour recognition, to extract and analyse the scene of the abnormal information feature, and use adaptive threshold algorithm to improve the accuracy of the automatic alarm. these technology make the monitor platform be able to find abnormal information, and timely feed them back to the On-site invigilators. Finally, it can realize intelligent invigilation, improve the precision of supervision system, and has promotion value.
{"title":"Realization of Intelligent Invigilation System Based on Adaptive Threshold","authors":"Yunjie Fang, Jingcheng Ye, Hao Wang","doi":"10.1109/ICCCS49078.2020.9118581","DOIUrl":"https://doi.org/10.1109/ICCCS49078.2020.9118581","url":null,"abstract":"In order to reduce the labor cost of invigilation, improve invigilation efficiency and deal with violations in real time, this paper designs and implements an intelligent invigilation system from two aspects of hardware and software. The system on the basis of the standardized test in video monitoring system, aiming at solving the problem that the traditional EM algorithm is sensitive to initial value, this paper puts forward an improved method to make supervised learning image and human body’s contour recognition, to extract and analyse the scene of the abnormal information feature, and use adaptive threshold algorithm to improve the accuracy of the automatic alarm. these technology make the monitor platform be able to find abnormal information, and timely feed them back to the On-site invigilators. Finally, it can realize intelligent invigilation, improve the precision of supervision system, and has promotion value.","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117281943","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 : 2020-05-01DOI: 10.1109/ICCCS49078.2020.9118575
H. Khairnar, B. Sonkamble
Periodic data related to vehicular traffic information have been flare-up and entered the era of big data. Vehicular traffic network is monitored continuously by motion detectors and video cameras. Advanced information about a travelling path is being used as an extraneous intervention tool to positively influence recommendation system performance. This situation directs us to think vehicular traffic path recommendation problem based on time series analysis. In this paper, a graph processing based vehicular traffic path recommendation method is proposed, which considers the spatial and temporal attributes. We cast a problem as an optimal path selection problem for the fixed origin and destination based on various data points acquired at a different time interval. Rigorous experimental evaluation on publicly available dataset shows the efficacy of the proposed method.
{"title":"Aggregated Time Series based Vehicular Traffic Path Recommendation","authors":"H. Khairnar, B. Sonkamble","doi":"10.1109/ICCCS49078.2020.9118575","DOIUrl":"https://doi.org/10.1109/ICCCS49078.2020.9118575","url":null,"abstract":"Periodic data related to vehicular traffic information have been flare-up and entered the era of big data. Vehicular traffic network is monitored continuously by motion detectors and video cameras. Advanced information about a travelling path is being used as an extraneous intervention tool to positively influence recommendation system performance. This situation directs us to think vehicular traffic path recommendation problem based on time series analysis. In this paper, a graph processing based vehicular traffic path recommendation method is proposed, which considers the spatial and temporal attributes. We cast a problem as an optimal path selection problem for the fixed origin and destination based on various data points acquired at a different time interval. Rigorous experimental evaluation on publicly available dataset shows the efficacy of the proposed method.","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116749495","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}
In natural environments, bird sounds are often accompanied by background noise, so denoising becomes crucial to automated bird sound recognition. Recently, thanks to neural network embeddings, the deep clustering method has achieved better performances than traditional denoising methods, like filter-based methods, due to its ability to solve the problem when noise is in the same frequency range as bird sounds. In this paper, we propose a generalized denoising method based on deep clustering, which can process more complex recordings with less distortion. Also, we optimize the original affinity loss function to get a novel loss function to ensure the embedding vectors with the minimum distance belong to the same source, named Joint Center Loss (JCL), which can both increase the inter-class variance and decrease the intra-class variance of embeddings. Experiments are conducted on the gated convolutional neural network architecture and the bidirectional long short term memory architecture respectively with different loss functions. Given the signal-noise ratio being -3dB, the recognition accuracy increases relatively by 9.5% with the proposed denoising method in the best case, and the Relative Root Mean Square Error (RRMSE) increases relatively by 14.2% by using JCL, compared with the original affinity loss function AL.
在自然环境中，鸟叫声往往伴随着背景噪声，因此去噪对鸟叫声的自动识别至关重要。最近，由于神经网络嵌入，深度聚类方法能够解决噪声与鸟鸣在同一频率范围内的问题，因此比传统的去噪方法(如基于滤波器的方法)取得了更好的性能。本文提出了一种基于深度聚类的广义去噪方法，该方法能够以较小的失真处理更复杂的录音。同时，我们对原有的亲和损失函数进行优化，得到一种新的损失函数，以保证距离最小的嵌入向量属于同一源，称为联合中心损失(Joint Center loss, JCL)，它既可以增加嵌入的类间方差，又可以减小嵌入的类内方差。分别用不同的损失函数对门控卷积神经网络结构和双向长短期记忆结构进行了实验。在信噪比为-3dB的情况下，与原始亲和损失函数AL相比，采用JCL去噪方法识别精度相对提高9.5%，相对均方根误差(RRMSE)相对提高14.2%。
{"title":"A Generalized Denoising Method with an Optimized Loss Function for Automated Bird Sound Recognition","authors":"Huangqiang Fang, Yulin He, Wanyang Xu, Yanyan Xu, Dengfeng Ke, Kaile Su","doi":"10.1109/ICCCS49078.2020.9118426","DOIUrl":"https://doi.org/10.1109/ICCCS49078.2020.9118426","url":null,"abstract":"In natural environments, bird sounds are often accompanied by background noise, so denoising becomes crucial to automated bird sound recognition. Recently, thanks to neural network embeddings, the deep clustering method has achieved better performances than traditional denoising methods, like filter-based methods, due to its ability to solve the problem when noise is in the same frequency range as bird sounds. In this paper, we propose a generalized denoising method based on deep clustering, which can process more complex recordings with less distortion. Also, we optimize the original affinity loss function to get a novel loss function to ensure the embedding vectors with the minimum distance belong to the same source, named Joint Center Loss (JCL), which can both increase the inter-class variance and decrease the intra-class variance of embeddings. Experiments are conducted on the gated convolutional neural network architecture and the bidirectional long short term memory architecture respectively with different loss functions. Given the signal-noise ratio being -3dB, the recognition accuracy increases relatively by 9.5% with the proposed denoising method in the best case, and the Relative Root Mean Square Error (RRMSE) increases relatively by 14.2% by using JCL, compared with the original affinity loss function AL.","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115402380","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 : 2020-05-01DOI: 10.1109/ICCCS49078.2020.9118485
Jun-Feng Wang, Chuan-Wen Lin, Xue-You Hu, Liu Gang
We performed 3D simulations of the temperature field and velocity field in the Czochralski (Cz) process by using computational fluid dynamics (CFD) analysis software. With the obtained velocity field and temperature field in the Cz process, we showed the relative intensity of natural convection and forced convection under different rotation speeds of the growth process based on the Boussinesq approximation and by considering the conduction, convection, and radiation of heat. We simultaneously simulated the change of natural convection and forced convection due to the fall of the liquid surface level in the crucible used for Cz growth. The results will help guide Nd:YAG Cz growth with large diameters and high quality.
{"title":"Three-Dimensional Simulation of Nd:YAG Crystal Growth Based on Computational Fluid Dynamics Analysis Software","authors":"Jun-Feng Wang, Chuan-Wen Lin, Xue-You Hu, Liu Gang","doi":"10.1109/ICCCS49078.2020.9118485","DOIUrl":"https://doi.org/10.1109/ICCCS49078.2020.9118485","url":null,"abstract":"We performed 3D simulations of the temperature field and velocity field in the Czochralski (Cz) process by using computational fluid dynamics (CFD) analysis software. With the obtained velocity field and temperature field in the Cz process, we showed the relative intensity of natural convection and forced convection under different rotation speeds of the growth process based on the Boussinesq approximation and by considering the conduction, convection, and radiation of heat. We simultaneously simulated the change of natural convection and forced convection due to the fall of the liquid surface level in the crucible used for Cz growth. The results will help guide Nd:YAG Cz growth with large diameters and high quality.","PeriodicalId":105556,"journal":{"name":"2020 5th International Conference on Computer and Communication Systems (ICCCS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115228076","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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