Pub Date : 2020-12-01DOI: 10.1109/ITCA52113.2020.00150
L. Min, Luo Weifeng
Fourier Transform Profilometry (FTP) and Phase Measurement Profilometry (PMP) are 3D surface measurement techniques that have been widely used, however, FTP has some defects, such as high requirement for space carrier frequency of projection fringe and easy loss of high-frequency components of measured object. High precision measurement based on PMP is difficult to realize dynamic measurement. However, Temporal Fourier Transform Profilometry (TFTP) can realize high-precision 3D reconstruction of dynamic objects. Therefore, this paper deeply explores the implementation process of TFTP method, it is proved that this method can retain the high-frequency components of the measured object to realize 3D surface reconstruction under the condition of low space carrier frequency projection. In addition, this paper discusses the influence of relevant parameters on the results of 3D reconstruction, and compares FTP method and TFTP method. On this basis, a measuring system is proposed, which is simple to construct and operate, and can quickly reconstruct the 3D shape of objects.
{"title":"Research on 3D Reconstruction Method Based on Temporal Fourier Transform Profilometry","authors":"L. Min, Luo Weifeng","doi":"10.1109/ITCA52113.2020.00150","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00150","url":null,"abstract":"Fourier Transform Profilometry (FTP) and Phase Measurement Profilometry (PMP) are 3D surface measurement techniques that have been widely used, however, FTP has some defects, such as high requirement for space carrier frequency of projection fringe and easy loss of high-frequency components of measured object. High precision measurement based on PMP is difficult to realize dynamic measurement. However, Temporal Fourier Transform Profilometry (TFTP) can realize high-precision 3D reconstruction of dynamic objects. Therefore, this paper deeply explores the implementation process of TFTP method, it is proved that this method can retain the high-frequency components of the measured object to realize 3D surface reconstruction under the condition of low space carrier frequency projection. In addition, this paper discusses the influence of relevant parameters on the results of 3D reconstruction, and compares FTP method and TFTP method. On this basis, a measuring system is proposed, which is simple to construct and operate, and can quickly reconstruct the 3D shape of objects.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131910886","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}
Based on the overall consideration of observation environment, observation system, data quality, and forecast application, the evaluation system is preliminarily established by using AHP combined with quantitative and qualitative analysis which realizes the quantitative evaluation of geoelectric field observation efficiency.
{"title":"Preliminary Study on Efficiency Evaluation of Geoelectric Field Observation","authors":"Xiangmin Dong, Hui-fang Zhang, Xia Li, Yiliang Guan","doi":"10.1109/ITCA52113.2020.00116","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00116","url":null,"abstract":"Based on the overall consideration of observation environment, observation system, data quality, and forecast application, the evaluation system is preliminarily established by using AHP combined with quantitative and qualitative analysis which realizes the quantitative evaluation of geoelectric field observation efficiency.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134575536","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 : 2020-12-01DOI: 10.1109/ITCA52113.2020.00050
Chao Wang, Jilian Guo, A. Shen, S.-H. Huang
With the development of information technology, complex networks have become more common in people's lives, and methods based on modularity optimization have attracted more and more attention. Because the traditional particle swarm algorithm is used to solve continuous optimization problems, the community structure detection problem is a discrete optimization problem based on graphs. We applied a new coding strategy and a particle update strategy to overcome this problem. In the update strategy, we introduced a method based on neighbor update to ensure that the update of the particles is guided to a certain extent by following the neighborhood information, which is in line with the characteristics of real complex networks. In addition, the expanded module density function is used for optimization to overcome the resolution limitation problem of the traditional module density function and to ensure that the community structure of complex networks is found at different resolutions.
{"title":"Community Detection Algorithm Based on Single Target PSO","authors":"Chao Wang, Jilian Guo, A. Shen, S.-H. Huang","doi":"10.1109/ITCA52113.2020.00050","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00050","url":null,"abstract":"With the development of information technology, complex networks have become more common in people's lives, and methods based on modularity optimization have attracted more and more attention. Because the traditional particle swarm algorithm is used to solve continuous optimization problems, the community structure detection problem is a discrete optimization problem based on graphs. We applied a new coding strategy and a particle update strategy to overcome this problem. In the update strategy, we introduced a method based on neighbor update to ensure that the update of the particles is guided to a certain extent by following the neighborhood information, which is in line with the characteristics of real complex networks. In addition, the expanded module density function is used for optimization to overcome the resolution limitation problem of the traditional module density function and to ensure that the community structure of complex networks is found at different resolutions.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"90 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133635235","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 : 2020-12-01DOI: 10.1109/ITCA52113.2020.00122
Jing Yang, Bo Chen, Quan Nie
The generation of high-dimensional data has led people to research permutation tests. Permutation tests are widely used in practice, but unduly strong conditions are often required for its validity. In this paper, we use a modified statistic which calls for only marginal standardization, and calculate the test statistics using pseudo samples that are generated through the Bootstrap method. We show that the corresponding permutation test is consistent under mild conditions. By comparing with some existing methods are made by simulation, the use of permutation tests for two sample means in high dimensional settings has better performance.
{"title":"Permutation Tests for Two-Sample Means of High-dimensional Data","authors":"Jing Yang, Bo Chen, Quan Nie","doi":"10.1109/ITCA52113.2020.00122","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00122","url":null,"abstract":"The generation of high-dimensional data has led people to research permutation tests. Permutation tests are widely used in practice, but unduly strong conditions are often required for its validity. In this paper, we use a modified statistic which calls for only marginal standardization, and calculate the test statistics using pseudo samples that are generated through the Bootstrap method. We show that the corresponding permutation test is consistent under mild conditions. By comparing with some existing methods are made by simulation, the use of permutation tests for two sample means in high dimensional settings has better performance.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"41 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120975202","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 : 2020-12-01DOI: 10.1109/ITCA52113.2020.00044
Y. Han, Benyuan He, Jie Zhao
Nowadays, SMEs have difficulty in obtaining credit due to relatively small scale, lack of information on mortgage assets and low information transparency. In practice, banks have problems such as heavy workload and strong subjectivity in formulating credit strategies for SMEs. Our group mainly focuses on the credit decision-making problems of SMEs, mining invoice data in business operations, and establishing an entropy-TOPSIS evaluation model to evaluate credit risk. Based on this, a multi-objective decision-making model is made for the three goals of maximizing bank benefits, minimizing risks, and minimizing customer churn. Finally, we use statistical data verification and genetic algorithm to solve the problem, trying to establish a unified evaluation and decision-making method to solve the problem of small, medium and micro enterprise credit.
{"title":"Credit decision algorithm for SMEs based on data mining","authors":"Y. Han, Benyuan He, Jie Zhao","doi":"10.1109/ITCA52113.2020.00044","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00044","url":null,"abstract":"Nowadays, SMEs have difficulty in obtaining credit due to relatively small scale, lack of information on mortgage assets and low information transparency. In practice, banks have problems such as heavy workload and strong subjectivity in formulating credit strategies for SMEs. Our group mainly focuses on the credit decision-making problems of SMEs, mining invoice data in business operations, and establishing an entropy-TOPSIS evaluation model to evaluate credit risk. Based on this, a multi-objective decision-making model is made for the three goals of maximizing bank benefits, minimizing risks, and minimizing customer churn. Finally, we use statistical data verification and genetic algorithm to solve the problem, trying to establish a unified evaluation and decision-making method to solve the problem of small, medium and micro enterprise credit.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116638998","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 : 2020-12-01DOI: 10.1109/ITCA52113.2020.00088
Yuxuan Gao, Yuan-long Hou
In many cases, drone is needed to detect objects from high altitude. The lack of training samples of this object category will have a bad impact on the task. In this paper, we design a few-shot detector for drone images. It adopts anchor-free one-stage framework, which lead to more reasonable definition of positive and negative samples and faster speed. We introduce attention mechanism to enable our model match the objects of same categories and distinguish the different class objects and propose a matching score map to utilize the similarity information of attention feature map. The similarity probability of each pixel region for support category is integrated into regression bounding boxes to obtain the similarity probability of each regression bounding box. Finally, through soft-NMS, the predicted detection bounding boxes for support category objects are generated. Compared with YOLOv3 on DOTA dataset, our model is proved to be effective for few-shot detection task of drone images.
{"title":"Anchor-Free Few-Shot Object Detection for Densely Arranged Small Targets in Drone Images","authors":"Yuxuan Gao, Yuan-long Hou","doi":"10.1109/ITCA52113.2020.00088","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00088","url":null,"abstract":"In many cases, drone is needed to detect objects from high altitude. The lack of training samples of this object category will have a bad impact on the task. In this paper, we design a few-shot detector for drone images. It adopts anchor-free one-stage framework, which lead to more reasonable definition of positive and negative samples and faster speed. We introduce attention mechanism to enable our model match the objects of same categories and distinguish the different class objects and propose a matching score map to utilize the similarity information of attention feature map. The similarity probability of each pixel region for support category is integrated into regression bounding boxes to obtain the similarity probability of each regression bounding box. Finally, through soft-NMS, the predicted detection bounding boxes for support category objects are generated. Compared with YOLOv3 on DOTA dataset, our model is proved to be effective for few-shot detection task of drone images.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114831901","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 : 2020-12-01DOI: 10.1109/ITCA52113.2020.00165
Lizong Lin, Xiaoming Wang
Nowadays, there are various types of smart bracelets in the market, and their functions are becoming more and more complex. However, there are not many bracelets facing the elderly and many of the physiological behaviors and living conditions of the elderly are different from those of the young. For example, the elderly are facing the risk of losing and falling. For these reasons, based on the Android system, this article has studied a smart bracelet system that not only collects heart rate and blood pressure, but also addresses the problems of falling and losing of the elderly. The bracelet in this article is a functional design for a specific group, which has important meaning and practical value.
{"title":"Design of a smart bracelet system for the elderly based on MTK6580","authors":"Lizong Lin, Xiaoming Wang","doi":"10.1109/ITCA52113.2020.00165","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00165","url":null,"abstract":"Nowadays, there are various types of smart bracelets in the market, and their functions are becoming more and more complex. However, there are not many bracelets facing the elderly and many of the physiological behaviors and living conditions of the elderly are different from those of the young. For example, the elderly are facing the risk of losing and falling. For these reasons, based on the Android system, this article has studied a smart bracelet system that not only collects heart rate and blood pressure, but also addresses the problems of falling and losing of the elderly. The bracelet in this article is a functional design for a specific group, which has important meaning and practical value.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115114497","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 : 2020-12-01DOI: 10.1109/ITCA52113.2020.00018
Jielu Yan, L. Ruan
High performance computer is a typical large-scale system which has a large number of high-density electronic devices system. The self-circulating evaporative cooling system provides a new method to solve the cooling problem. However, the system is a composite parallel system which is different with the previous study and application. Therefore, the operation characteristics of the minimum parallel unit for the system was studied through experiment in this paper.
{"title":"Experiment Study of the Self-circulating Evaporative Cooling System for High Performance Computer","authors":"Jielu Yan, L. Ruan","doi":"10.1109/ITCA52113.2020.00018","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00018","url":null,"abstract":"High performance computer is a typical large-scale system which has a large number of high-density electronic devices system. The self-circulating evaporative cooling system provides a new method to solve the cooling problem. However, the system is a composite parallel system which is different with the previous study and application. Therefore, the operation characteristics of the minimum parallel unit for the system was studied through experiment in this paper.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123554377","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 : 2020-12-01DOI: 10.1109/ITCA52113.2020.00028
Jingwen Zhi, Ruibiao Xie, Han Liu, Xiaowei Wang, Guotian Yang, P. Peng, Xiao Luo, Yijun Chen
Interaction technology is one of the core technologies of augmented reality. With the maturity of augmented reality hardware technology and the expansion of application field, interaction technology has been paid more attention and development. This paper sorts out the classification methods of interaction technology, focuses on the research status of interaction technology based on computer vision, external devices and multi-modal, as well as the selection of 3D objects, introduces the latest typical application of interaction technology. Finally, the interaction technology is summarized and prospected.
{"title":"A survey of Interactive Technology in Augmented Reality","authors":"Jingwen Zhi, Ruibiao Xie, Han Liu, Xiaowei Wang, Guotian Yang, P. Peng, Xiao Luo, Yijun Chen","doi":"10.1109/ITCA52113.2020.00028","DOIUrl":"https://doi.org/10.1109/ITCA52113.2020.00028","url":null,"abstract":"Interaction technology is one of the core technologies of augmented reality. With the maturity of augmented reality hardware technology and the expansion of application field, interaction technology has been paid more attention and development. This paper sorts out the classification methods of interaction technology, focuses on the research status of interaction technology based on computer vision, external devices and multi-modal, as well as the selection of 3D objects, introduces the latest typical application of interaction technology. Finally, the interaction technology is summarized and prospected.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124124452","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 : 2020-12-01DOI: 10.1109/itca52113.2020.00106
Ke Dong, Chengjie Zhou, Yihan Ruan, Yuzhi Li
Machine learning has been increasingly prevailing all over the world, especially in the computer vision field. This paper mainly focused on the performance of MobileNetV2 model for image classification. To verify the advanced performance of MobileNetV2 model better, this paper adopted MobileNetVl model as the control group and introduced an experiment of identifying images in a variety of datasets extracted from TensorFlow. With the T-SNE visualization tool, the conclusion can be generated by comparing the accuracy and effectiveness of these two models. The experimental results demonstrated that the proficiency of MobileNetV2 model achieved higher accuracy rates compared to MobileNetVl model. In order to enhance the performance of MobileNetV2, extensive experiments are performed.
{"title":"MobileNetV2 Model for Image Classification","authors":"Ke Dong, Chengjie Zhou, Yihan Ruan, Yuzhi Li","doi":"10.1109/itca52113.2020.00106","DOIUrl":"https://doi.org/10.1109/itca52113.2020.00106","url":null,"abstract":"Machine learning has been increasingly prevailing all over the world, especially in the computer vision field. This paper mainly focused on the performance of MobileNetV2 model for image classification. To verify the advanced performance of MobileNetV2 model better, this paper adopted MobileNetVl model as the control group and introduced an experiment of identifying images in a variety of datasets extracted from TensorFlow. With the T-SNE visualization tool, the conclusion can be generated by comparing the accuracy and effectiveness of these two models. The experimental results demonstrated that the proficiency of MobileNetV2 model achieved higher accuracy rates compared to MobileNetVl model. In order to enhance the performance of MobileNetV2, extensive experiments are performed.","PeriodicalId":103309,"journal":{"name":"2020 2nd International Conference on Information Technology and Computer Application (ITCA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124901265","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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