Pub Date : 2018-11-01DOI: 10.1109/AMCON.2018.8614912
Lei Yang, Yanlin Li, Lingchao Lu, Yongbo Huang, P. Zhao
The effects of PVA emulsion / PP fiber on the properties of porous concrete is investigated. The experimental results show that the PVA emulsion can significantly improve the compression strength of porous concrete whereas the effect of PP fiber is not obvious. When the content of emulsion or fiber is 1 wt. %, the abrasion loss of porous concrete decreased by 44.1 % or 54.1 %, respectively. Simultaneously, the corresponding chromatic aberration is 44.8 % or 53.3 % lower than unadulterated sample, respectively.
{"title":"Abrasion resistance and color retention assessment of porous concrete modified by PVA emulsion/PP fiber","authors":"Lei Yang, Yanlin Li, Lingchao Lu, Yongbo Huang, P. Zhao","doi":"10.1109/AMCON.2018.8614912","DOIUrl":"https://doi.org/10.1109/AMCON.2018.8614912","url":null,"abstract":"The effects of PVA emulsion / PP fiber on the properties of porous concrete is investigated. The experimental results show that the PVA emulsion can significantly improve the compression strength of porous concrete whereas the effect of PP fiber is not obvious. When the content of emulsion or fiber is 1 wt. %, the abrasion loss of porous concrete decreased by 44.1 % or 54.1 %, respectively. Simultaneously, the corresponding chromatic aberration is 44.8 % or 53.3 % lower than unadulterated sample, respectively.","PeriodicalId":438307,"journal":{"name":"2018 IEEE International Conference on Advanced Manufacturing (ICAM)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131396731","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 : 2018-11-01DOI: 10.1109/AMCON.2018.8615103
Peixing Wang, Kuang-Lun Liu
Differential bevel gear strength calculation, The main purpose is to evaluate whether the gear can meet the strength and life requirements under load; There is a mature theoretical gear strength calculation formula, However, due to the theoretical gear strength calculation, the tooth shape is different from the actual tooth shape, In turn, the theoretical calculation strength is different from the actual manufacturing strength. This research is based on existing products in the industry, Calculate the theoretical strength using the parameters of this product, And use the same bevel gear forging mathematical model as the product, Calculate gear strength through dynamic software LS-Dyna, Comparing the gear strength with the actual tooth profile and the gear strength of the actual tooth profile, The gear strength obtained by LS-Dyna can be approximated by the theoretical calculation gear strength, In this way, you can quickly know at the beginning of the design whether the designed gear strength can withstand the load.
{"title":"Analysis and Design of Differential bevel gear","authors":"Peixing Wang, Kuang-Lun Liu","doi":"10.1109/AMCON.2018.8615103","DOIUrl":"https://doi.org/10.1109/AMCON.2018.8615103","url":null,"abstract":"Differential bevel gear strength calculation, The main purpose is to evaluate whether the gear can meet the strength and life requirements under load; There is a mature theoretical gear strength calculation formula, However, due to the theoretical gear strength calculation, the tooth shape is different from the actual tooth shape, In turn, the theoretical calculation strength is different from the actual manufacturing strength. This research is based on existing products in the industry, Calculate the theoretical strength using the parameters of this product, And use the same bevel gear forging mathematical model as the product, Calculate gear strength through dynamic software LS-Dyna, Comparing the gear strength with the actual tooth profile and the gear strength of the actual tooth profile, The gear strength obtained by LS-Dyna can be approximated by the theoretical calculation gear strength, In this way, you can quickly know at the beginning of the design whether the designed gear strength can withstand the load.","PeriodicalId":438307,"journal":{"name":"2018 IEEE International Conference on Advanced Manufacturing (ICAM)","volume":"883 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133969982","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 : 2018-11-01DOI: 10.1109/AMCON.2018.8615052
Yue-Lin Hsieh, Y. Hsieh, Zhao Han, Hui-fang Lin
The purpose of this paper is to apply the finite element method (FEM) computation results to examine the flow field obstruction in nasal airway obstruction (NAO) patients, the consistency of the blocking site, and the elucidating the NAO phenomenon. In addition, the comparison between flow pattern of NAO patients and the healthy subject during a respiratory cycle was discussed in this article. The results of this research aimed to help optimize the treatment of NAO patients regarding the positioning and size of the surgical dissection.
{"title":"Airflow Patterns in the Airway Passage of Nasal Obstruction Patients","authors":"Yue-Lin Hsieh, Y. Hsieh, Zhao Han, Hui-fang Lin","doi":"10.1109/AMCON.2018.8615052","DOIUrl":"https://doi.org/10.1109/AMCON.2018.8615052","url":null,"abstract":"The purpose of this paper is to apply the finite element method (FEM) computation results to examine the flow field obstruction in nasal airway obstruction (NAO) patients, the consistency of the blocking site, and the elucidating the NAO phenomenon. In addition, the comparison between flow pattern of NAO patients and the healthy subject during a respiratory cycle was discussed in this article. The results of this research aimed to help optimize the treatment of NAO patients regarding the positioning and size of the surgical dissection.","PeriodicalId":438307,"journal":{"name":"2018 IEEE International Conference on Advanced Manufacturing (ICAM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129795141","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 : 2018-11-01DOI: 10.1109/AMCON.2018.8614851
Zhu Jian-hong, Meng Bang-bang, Gu Ju-ping, Hu Qiong, Chen Ze-yu
Large-scale accessing to the power grid of non-linear load affects the power quality of the grid. The monitoring requirements of load electrical characteristics are more urgent with rapid increase in power energy demand. Aiming at the characteristics of non-linear group load operation of air conditioners, a systematic monitor project construction scheme is proposed. Firstly, the simulation software is used to build air-conditioning nonlinear group load model to observe characteristics and performance. Then, according to the energy characteristics of the nonlinear group load, the parameters and control variables, the data communication between the monitoring environment and the non-linear load operating simulation environment is designed, and the electrical characteristics of the nonlinear group load are monitored dynamically. Finally, the waveform analysis of the electrical characteristics is done and given the analysis result. Appropriating measures are taken to make the power quality meet the actual requirements, active power management is achieved in demand side.
{"title":"Intelligent Management Design on Air Conditioning Nonlinear Group Load","authors":"Zhu Jian-hong, Meng Bang-bang, Gu Ju-ping, Hu Qiong, Chen Ze-yu","doi":"10.1109/AMCON.2018.8614851","DOIUrl":"https://doi.org/10.1109/AMCON.2018.8614851","url":null,"abstract":"Large-scale accessing to the power grid of non-linear load affects the power quality of the grid. The monitoring requirements of load electrical characteristics are more urgent with rapid increase in power energy demand. Aiming at the characteristics of non-linear group load operation of air conditioners, a systematic monitor project construction scheme is proposed. Firstly, the simulation software is used to build air-conditioning nonlinear group load model to observe characteristics and performance. Then, according to the energy characteristics of the nonlinear group load, the parameters and control variables, the data communication between the monitoring environment and the non-linear load operating simulation environment is designed, and the electrical characteristics of the nonlinear group load are monitored dynamically. Finally, the waveform analysis of the electrical characteristics is done and given the analysis result. Appropriating measures are taken to make the power quality meet the actual requirements, active power management is achieved in demand side.","PeriodicalId":438307,"journal":{"name":"2018 IEEE International Conference on Advanced Manufacturing (ICAM)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132024094","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}
Shrimp is one of the most important aquaculture products in Taiwan but has suffered a decreasing breeding rate these recent years. It’s difficult to observe their feeding, growth and health due to the muddy and turbid water conditions in shrimp farms. This paper presents the prototype of an underwater surveillance system, which consists of hardware and software to provide underwater observation and automatic analysis for the purpose of smart feeding control and water quality management, and thus improve the farm’s productivity.
{"title":"The Prototype of a Smart Underwater Surveillance System for Shrimp Farming","authors":"Ing-Jer Huang, Chin-Chang Hung, Shiann-Rong Kuang, Yun-Nan Chang, Kuan-Yu Huang, Chang-Ru Tsai, Kai-Lin Feng","doi":"10.1109/AMCON.2018.8614976","DOIUrl":"https://doi.org/10.1109/AMCON.2018.8614976","url":null,"abstract":"Shrimp is one of the most important aquaculture products in Taiwan but has suffered a decreasing breeding rate these recent years. It’s difficult to observe their feeding, growth and health due to the muddy and turbid water conditions in shrimp farms. This paper presents the prototype of an underwater surveillance system, which consists of hardware and software to provide underwater observation and automatic analysis for the purpose of smart feeding control and water quality management, and thus improve the farm’s productivity.","PeriodicalId":438307,"journal":{"name":"2018 IEEE International Conference on Advanced Manufacturing (ICAM)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132069210","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 : 2018-11-01DOI: 10.1109/AMCON.2018.8615078
Chia-Sui Wang, Wesley Huang, M. Yeh, Jou-Wei Lin
Inclusions in steel materials are generally composed of oxide, silicate from silica, sulfide, and other chemical compounds. These inclusions in steel cause stress concentration on the contact surface between inclusions and steel base, which result in a quenching crack and a decrease of fatigue strength. The inspection of inclusions in steel is high in demand, and is typically carried out manually. This study used a rule-based methodology to develop a division-making architecture for a digital evaluation system. The results from comparison experiments showed that the difference of evaluation grade between digital and manual evaluations was 0.5. Moreover, the time spent on digital evaluation was 30-50 times faster than manual evaluation. In summary, the digital evaluation developed by this study for inclusions is suitable for metallographic inspection.
{"title":"A Digital Evaluation System for Inclusions in Steel","authors":"Chia-Sui Wang, Wesley Huang, M. Yeh, Jou-Wei Lin","doi":"10.1109/AMCON.2018.8615078","DOIUrl":"https://doi.org/10.1109/AMCON.2018.8615078","url":null,"abstract":"Inclusions in steel materials are generally composed of oxide, silicate from silica, sulfide, and other chemical compounds. These inclusions in steel cause stress concentration on the contact surface between inclusions and steel base, which result in a quenching crack and a decrease of fatigue strength. The inspection of inclusions in steel is high in demand, and is typically carried out manually. This study used a rule-based methodology to develop a division-making architecture for a digital evaluation system. The results from comparison experiments showed that the difference of evaluation grade between digital and manual evaluations was 0.5. Moreover, the time spent on digital evaluation was 30-50 times faster than manual evaluation. In summary, the digital evaluation developed by this study for inclusions is suitable for metallographic inspection.","PeriodicalId":438307,"journal":{"name":"2018 IEEE International Conference on Advanced Manufacturing (ICAM)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121064504","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 : 2018-11-01DOI: 10.1109/AMCON.2018.8614911
Wei-Tai Huang, Ting-Yi Lee, J. Chou
This research in multiple quality objectives of the turning and milling multitasking machining is based on the Taguchi process and the fuzzy theory. These two methods can quickly find the best processing parameters to obtain the best surface roughness and dimensional accuracy and reduce the research cost and save research time. In this research, the Taguchi robust process $L9 (3^{4})$ orthogonal table was used to find the individual optimized process parameters. The control factors used were spindle speed (RPM), feed (mm/min), and C-axis brake pressure (kg/$cm^{2})$.), the axial cutting depth, and then taking the surface roughness and dimensional accuracy as the characteristic indicators, and then the respective signal-to-noise ratio (S/N) is grayed out according to the experimental sequence to generate normalization, and the gray correlation coefficient is obtained. Further, a Multiple Performance Characteristic Index (MPCI) is obtained. The research results clearly demonstrated that the overall results of the process optimum parameters obtained by using the measurement indicators of multiple quality characteristics prevail the results of the individual optimized process parameters.
{"title":"Investigating Multiple Quality Objectives for Surface Roughness and Dimensional Accuracy of Carbon Steel Manufactured by Turn-Mill Multitasking Machining","authors":"Wei-Tai Huang, Ting-Yi Lee, J. Chou","doi":"10.1109/AMCON.2018.8614911","DOIUrl":"https://doi.org/10.1109/AMCON.2018.8614911","url":null,"abstract":"This research in multiple quality objectives of the turning and milling multitasking machining is based on the Taguchi process and the fuzzy theory. These two methods can quickly find the best processing parameters to obtain the best surface roughness and dimensional accuracy and reduce the research cost and save research time. In this research, the Taguchi robust process $L9 (3^{4})$ orthogonal table was used to find the individual optimized process parameters. The control factors used were spindle speed (RPM), feed (mm/min), and C-axis brake pressure (kg/$cm^{2})$.), the axial cutting depth, and then taking the surface roughness and dimensional accuracy as the characteristic indicators, and then the respective signal-to-noise ratio (S/N) is grayed out according to the experimental sequence to generate normalization, and the gray correlation coefficient is obtained. Further, a Multiple Performance Characteristic Index (MPCI) is obtained. The research results clearly demonstrated that the overall results of the process optimum parameters obtained by using the measurement indicators of multiple quality characteristics prevail the results of the individual optimized process parameters.","PeriodicalId":438307,"journal":{"name":"2018 IEEE International Conference on Advanced Manufacturing (ICAM)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116288445","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 : 2018-11-01DOI: 10.1109/AMCON.2018.8614939
Jingnan Fu, Hongbo Yang, Ping Liu, Yuzhen Hu
Crowd counting and density estimation is a challenging task in the field of computer vision. Most of existing methods of this task are based on convolutional neural network (CNN), which have achieved good results in low-density scene. Usually, people who are far away from the camera appear to be denser and smaller, while those who are close to the camera are more sparse and larger, therefor, structure contains only CNN gives the poor performance in some high-density crowd scene because of the uneven distribution of the crowd through camera. To address this problem, this paper designs a CNN-RNN Crowd Counting Neural Network (CRCCNN), which introduces Long Short-Term Memory (LSTM) structure, we use CNN structure to extract the features of the whole image, and use the LSTM structure to extract the contextual information of crowd region. Since LSTM has a good memory of the input information of sequential samples, it can predict the crowd density very well even for the high density population. We perform our experiments on different datasets and compare with other existing methods, which achieve the outstanding results and demonstrate the effectiveness performance of CRCCNN.
{"title":"A CNN-RNN Neural Network Join Long Short-Term Memory For Crowd Counting and Density Estimation","authors":"Jingnan Fu, Hongbo Yang, Ping Liu, Yuzhen Hu","doi":"10.1109/AMCON.2018.8614939","DOIUrl":"https://doi.org/10.1109/AMCON.2018.8614939","url":null,"abstract":"Crowd counting and density estimation is a challenging task in the field of computer vision. Most of existing methods of this task are based on convolutional neural network (CNN), which have achieved good results in low-density scene. Usually, people who are far away from the camera appear to be denser and smaller, while those who are close to the camera are more sparse and larger, therefor, structure contains only CNN gives the poor performance in some high-density crowd scene because of the uneven distribution of the crowd through camera. To address this problem, this paper designs a CNN-RNN Crowd Counting Neural Network (CRCCNN), which introduces Long Short-Term Memory (LSTM) structure, we use CNN structure to extract the features of the whole image, and use the LSTM structure to extract the contextual information of crowd region. Since LSTM has a good memory of the input information of sequential samples, it can predict the crowd density very well even for the high density population. We perform our experiments on different datasets and compare with other existing methods, which achieve the outstanding results and demonstrate the effectiveness performance of CRCCNN.","PeriodicalId":438307,"journal":{"name":"2018 IEEE International Conference on Advanced Manufacturing (ICAM)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115002248","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 : 2018-11-01DOI: 10.1109/AMCON.2018.8614938
Shuangyin Zhang, Teng Fei, Yanhong Ran
The objective of this study was to explore the feasibility for rapid diagnosis of heavy metal Pb and Cd cross contamination in agricultural soil with hyperspectral image of rice plants. Several data pretreatment methods were applied to improve the diagnosis accuracy. The best diagnosis accuracy of SVM model were all above 75% for any none, low, medium and high concentration stress based on the spectral band of second derivative. To the best of our knowledge, this is the first study identifying Pb and Cd cross contamination by using hyperspectral images. The results indicates that it is feasible to diagnose the Pb and Cd cross contamination in agricultural soils from observation of rice plants using hyperspectral image.
{"title":"Diagnosis of heavy metal cross contamination in leaf of rice based on hyperspectral image: a greenhouse experiment","authors":"Shuangyin Zhang, Teng Fei, Yanhong Ran","doi":"10.1109/AMCON.2018.8614938","DOIUrl":"https://doi.org/10.1109/AMCON.2018.8614938","url":null,"abstract":"The objective of this study was to explore the feasibility for rapid diagnosis of heavy metal Pb and Cd cross contamination in agricultural soil with hyperspectral image of rice plants. Several data pretreatment methods were applied to improve the diagnosis accuracy. The best diagnosis accuracy of SVM model were all above 75% for any none, low, medium and high concentration stress based on the spectral band of second derivative. To the best of our knowledge, this is the first study identifying Pb and Cd cross contamination by using hyperspectral images. The results indicates that it is feasible to diagnose the Pb and Cd cross contamination in agricultural soils from observation of rice plants using hyperspectral image.","PeriodicalId":438307,"journal":{"name":"2018 IEEE International Conference on Advanced Manufacturing (ICAM)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125986274","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 : 2018-11-01DOI: 10.1109/AMCON.2018.8614857
Yuri Kanda, H. Matsukuma, Shaoqing Yang, Y. Shimizu, H. Inaba, W. Gao
This paper presents the development of a frequency comb using a mode-locked fiber laser as the light source for precision dimensional metrology. The mode-locked laser generates an optical pulse train with a central wavelength of approximately 1560 nm. The pulse train was amplified with an erbium-doped fiber amplifier, and its spectrum was broadened to the wavelength range from 1000 nm to 2000 nm. Furthermore, the carrier envelope offset beats were successfully detected by using a common-path f-2 f interferometer.
{"title":"Development of a fiber-laser-based frequency comb for precision dimensional metrology","authors":"Yuri Kanda, H. Matsukuma, Shaoqing Yang, Y. Shimizu, H. Inaba, W. Gao","doi":"10.1109/AMCON.2018.8614857","DOIUrl":"https://doi.org/10.1109/AMCON.2018.8614857","url":null,"abstract":"This paper presents the development of a frequency comb using a mode-locked fiber laser as the light source for precision dimensional metrology. The mode-locked laser generates an optical pulse train with a central wavelength of approximately 1560 nm. The pulse train was amplified with an erbium-doped fiber amplifier, and its spectrum was broadened to the wavelength range from 1000 nm to 2000 nm. Furthermore, the carrier envelope offset beats were successfully detected by using a common-path f-2 f interferometer.","PeriodicalId":438307,"journal":{"name":"2018 IEEE International Conference on Advanced Manufacturing (ICAM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128901723","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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