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Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence最新文献

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Layered Exchange Rate Prediction Model Based on LSTM 基于LSTM的分层汇率预测模型
Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence Pub Date : 2020-04-10 DOI: 10.1145/3395260.3395288
Chenhe Hu, Kai Zheng, L. Liu
{"title":"Layered Exchange Rate Prediction Model Based on LSTM","authors":"Chenhe Hu, Kai Zheng, L. Liu","doi":"10.1145/3395260.3395288","DOIUrl":"https://doi.org/10.1145/3395260.3395288","url":null,"abstract":"The prediction of exchange rate is very important for both countries and enterprises. At present, the latest prediction technology is training BP neural network through the recent exchange rate data, and it takes effect in some degree. In view of the limitations of the existing BP neural network, an improved hierarchical network model based on Long Short-Term Memory (LSTM) is proposed. The model increases the time depth of the data, and uses attention mechanism to process the historical data of different time levels, which makes the prediction ability of the model stronger. Taking the exchange rate of US dollar / rupee as an example, by comparing with the basic LSTM model and BP neural network, it is proved that the proposed model has a better effect.","PeriodicalId":103490,"journal":{"name":"Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124397944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Design and Realization of Digital Frequency Characteristic Tester Based on DSP+FPGA 基于DSP+FPGA的数字频率特性测试仪的设计与实现
Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence Pub Date : 2020-04-10 DOI: 10.1145/3395260.3395303
Pu Xia, DU Rong-xia, Hu Kun
{"title":"Design and Realization of Digital Frequency Characteristic Tester Based on DSP+FPGA","authors":"Pu Xia, DU Rong-xia, Hu Kun","doi":"10.1145/3395260.3395303","DOIUrl":"https://doi.org/10.1145/3395260.3395303","url":null,"abstract":"Adopting the DSP+FPGA signal processing framework and the principle of zero-IF quadrature demodulation, this paper designs and realizes a digital frequency characteristic tester with high accuracy, which can realize dot and sweep measurement for two port network, with frequency range between 100kHz and 50MHz, amplitude accuracy less than 1dB, and phase accuracy less than 1 degree. It can also display in real time on LCD both the amplitude-frequency characteristic curve and phase-frequency characteristic curve, with the scales of voltage gain, phase shift and frequency indicated on the screen.","PeriodicalId":103490,"journal":{"name":"Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124982361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Some results about the Construction of K-frames in Hilbert spaces Hilbert空间中k -框架构造的一些结果
Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence Pub Date : 2020-04-10 DOI: 10.1145/3395260.3395305
C. Dai, Jinsong Leng, Miao He
{"title":"Some results about the Construction of K-frames in Hilbert spaces","authors":"C. Dai, Jinsong Leng, Miao He","doi":"10.1145/3395260.3395305","DOIUrl":"https://doi.org/10.1145/3395260.3395305","url":null,"abstract":"K-frames were proposed by Gavruta in 2012, and then some scholars began to study its properties. In this article, we first prove a sufficient condition of obtaining K-frames from the known general frames in Hilbert spaces, as well as the relevant corollarys and examples. We also show the another characterization of the properties of K-frames. Moreover, we present a method that allows the K-frames to be built from two known K-frames, and the inference is obtained by combining this method with the K-frames properties given above. In the end, we give a inequality about tight K-frames.","PeriodicalId":103490,"journal":{"name":"Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128318450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
LAGE3 is a potential therapeutic target and prognostic factor in breast cancer: database mining for LAGE family members in human malignancies LAGE3是乳腺癌的潜在治疗靶点和预后因素:人类恶性肿瘤中LAGE家族成员的数据库挖掘
Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence Pub Date : 2020-04-10 DOI: 10.1145/3395260.3395287
Yuehan Zhou, Hong Liang, Jianzhi Deng, Zhenhua Luo, W. Long
{"title":"LAGE3 is a potential therapeutic target and prognostic factor in breast cancer: database mining for LAGE family members in human malignancies","authors":"Yuehan Zhou, Hong Liang, Jianzhi Deng, Zhenhua Luo, W. Long","doi":"10.1145/3395260.3395287","DOIUrl":"https://doi.org/10.1145/3395260.3395287","url":null,"abstract":"Breast cancer is the top cancer in women worldwide. Human L antigen (LAGE) family, are a cluster of genes that located on Chromosome X. To date, 4 members of LAGE family named LAGE1, LAGE2A, LAGE2B and LAGE3 have been reported, but their roles contributing to tumorigenesis and prognosis of breast cancer are still not clear. In the present study, we studied the expression of LAGE transcripts in an array of tumor types, compared with the normal controls using ONCOMINE database, and the corresponding expression files in a variety of cancer cell lines through CCLE analysis, along with the protein expression in normal breast tissues and breast cancer specimens from the Human Protein Atlas (HPA). Gene Expression-Based Outcome for Breast Cancer Online (GOBO) analysis was used to examine the mRNA expression in breast cancer patients with different intrinsic PAM50 subtypes. Based on Kaplan-Meier plotter, the prognostic value in breast cancer patients, was evaluated. It was found that, LAGE3 was distinctly high expressed at mRNA and protein levels in breast cancer patients when compared with normal tissues among all LAGE members. In survival analysis, low expression of LAGE3 was correlated to better survival in breast cancer patients, which revealed that expression of LAGE3 is a predictor of poor prognosis in breast cancer. In conclusion, LAGE3 is a distinct biomarker and essential prognostic factor for breast cancer.","PeriodicalId":103490,"journal":{"name":"Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126876855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Target Embedding and Position Attention with LSTM for Aspect Based Sentiment Analysis 面向面向方面情感分析的LSTM目标嵌入和位置关注
Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence Pub Date : 2020-04-10 DOI: 10.1145/3395260.3395280
Borun Xu, Xiaoxiao Wang, Bo Yang, Zhongfeng Kang
{"title":"Target Embedding and Position Attention with LSTM for Aspect Based Sentiment Analysis","authors":"Borun Xu, Xiaoxiao Wang, Bo Yang, Zhongfeng Kang","doi":"10.1145/3395260.3395280","DOIUrl":"https://doi.org/10.1145/3395260.3395280","url":null,"abstract":"Aspect Based Sentiment Analysis (ABSA) provides fine-grained sentiment information compared with traditional sentiment analysis. There are two approaches to the task, aspect term sentiment analysis (ATSA) and aspect category sentiment analysis (ACSA). In this paper, we propose a model, namely Recurrent Neural Network with Target Embedding (RTE) using target enhance technic to improve the accuracy of both the two kinds of approaches. Specifically, RTE involves two stacked LSTMs for target term extraction and sentiment analysis, and a target enhance unit for spreading target or aspect information. Experiments are conducted on several public datasets and the results illustrate that the proposed RTE outperforms several state-of-the-art models compared.","PeriodicalId":103490,"journal":{"name":"Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124600509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 13
Semantics-Preserving XML Query 保持语义的XML查询
Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence Pub Date : 2020-04-10 DOI: 10.1145/3395260.3395306
Jiehu Song, Zuoquan Lin
{"title":"Semantics-Preserving XML Query","authors":"Jiehu Song, Zuoquan Lin","doi":"10.1145/3395260.3395306","DOIUrl":"https://doi.org/10.1145/3395260.3395306","url":null,"abstract":"XML query such as the query language XQuery leads to incomplete query results since XML focuses on data structure rather than semantics. In this paper we propose semantics-preserving XML query that uses SPARQL query to access over XML data based on the transformation of XML data to RDF ontology. Namely, we manually map XML data to RDF ontology in semantics-preserving way. We can then automatically translate SPARQL query into semantics-preserving XQuery query to access over XML data. We thus provide an interoperability between the existing legacy XML data and the RDF ontology.","PeriodicalId":103490,"journal":{"name":"Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence","volume":"75 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132512235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multi-channel face reconstruction system based on sketch features using Conditional Adversarial Networks 基于草图特征的条件对抗网络多通道人脸重建系统
Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence Pub Date : 2020-04-10 DOI: 10.1145/3395260.3395269
Zeping Zhang, Miao Jiang, Zhiwei Zhang
{"title":"Multi-channel face reconstruction system based on sketch features using Conditional Adversarial Networks","authors":"Zeping Zhang, Miao Jiang, Zhiwei Zhang","doi":"10.1145/3395260.3395269","DOIUrl":"https://doi.org/10.1145/3395260.3395269","url":null,"abstract":"Face Reconstruction is an important research area in field of Computer Vision and Artificial Intelligence, and has a wide range of related applications in real life. Previous work primarily focuses on face feature extraction through images of real faces, in contrast, our work reconsiders generating real faces with discernible features based on sketch and outlines, in order to be used for face super-resolution reconstruction and face generation, and ultimately for feature face generation using CAN, such as generating real faces according to the descriptions of suspect's facial features by the police. The research content in this paper includes an algorithm for Asian people's face generation without gender bias, a method for generating feature face data sample through digital image processing, and an innovative CAN architecture. The experiments are based on over 14, 000 face samples, which are manually collected from volunteers. Our results show that our face reconstruction system based on sketch features using CAN has higher levels of authenticity, accuracy, and applicability.","PeriodicalId":103490,"journal":{"name":"Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125402397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Efficient FFT Implementation on a CGRA 基于CGRA的高效FFT实现
Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence Pub Date : 2020-04-10 DOI: 10.1145/3395260.3395279
Li Yu, Yang Jinjiang, Liu Leibo
{"title":"Efficient FFT Implementation on a CGRA","authors":"Li Yu, Yang Jinjiang, Liu Leibo","doi":"10.1145/3395260.3395279","DOIUrl":"https://doi.org/10.1145/3395260.3395279","url":null,"abstract":"In this paper, we present an efficient implementation of FFT algorithm on a CGRA-based reconfigurable architecture. Radix-4 method is used in this paper according to the advantages of proposed CGRA. The performance of the radix-4 FFT implementation is optimized by the parallelism of the Processing Elements (PEs) and the multi-access scheme of the shared memory (SM). Compared with other similar reconfigurable architectures, the proposed FFT implementation on the CGRA has performance advantages. Taking 1024-point FFT as an example, we achieve 1.93X to 6.22X advantages.","PeriodicalId":103490,"journal":{"name":"Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122701854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Chinese FOG Index: the Readability of Information Disclosure in Chinese Listed Companies 中国FOG指数:中国上市公司信息披露的可读性
Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence Pub Date : 2020-04-10 DOI: 10.1145/3395260.3395283
Lingli Yu, Q. Cao, Yunhan Mou, Hongyu Du
{"title":"Chinese FOG Index: the Readability of Information Disclosure in Chinese Listed Companies","authors":"Lingli Yu, Q. Cao, Yunhan Mou, Hongyu Du","doi":"10.1145/3395260.3395283","DOIUrl":"https://doi.org/10.1145/3395260.3395283","url":null,"abstract":"The disclosure of non-financial information from listed companies has a significant impact on Chinese market. How can we apply advanced techniques (e.g: big data analysis ) to analyze text-format non-financial information? The FOG index, proposed by Robert Gunning in 1952, is the most commonly adopted text readability index; unfortunately, it is only suitable for English text. In this study, we choose annual financial reports of 200 listed Chinese companies, using machine learning and text-mining methods, to build a new index which is suitable for measuring the readability of Chinese text. Statistical methods such as Cluster Analysis, Ridge Regression, and LARS regression are also utilized to get the final model. Then we apply the proposed index to prospectuses of Chinese listed companies in the Sci-Tech innovation board to measure their readability and thus the quality of their information disclosure. We tentatively build an assessment model for Chinese text readability which may enhance the intelligibility and observability of non-financial information disclosure quality in the Chinese market.","PeriodicalId":103490,"journal":{"name":"Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127508058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Analysis on principle deviation of sub-pixel Zernike moments operator with 7x7 masks 7x7掩模亚像素Zernike矩算子的原理偏差分析
Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence Pub Date : 2020-04-10 DOI: 10.1145/3395260.3395298
Qi Dabin, XiaoJun Lu, Yulong Yao, Li Qiuju, Yao-jun
{"title":"Analysis on principle deviation of sub-pixel Zernike moments operator with 7x7 masks","authors":"Qi Dabin, XiaoJun Lu, Yulong Yao, Li Qiuju, Yao-jun","doi":"10.1145/3395260.3395298","DOIUrl":"https://doi.org/10.1145/3395260.3395298","url":null,"abstract":"Zernike moments edge operator with 7x7 maskes is chosen as research object in this paper, principle deviation character of this operator caused by edge model is present, modified formula of edge translation 1 is deduced and given, it shows that the principle deviation is zero when edge lie in center pixel in a sample window, for another case, the edge translation 1 should be verified by modified formula of principle deviation. utilizing 7x7 masks to replace original Zernike moments operator with5x5 masks, the location accuracy of operator can be improved partly, but the masks Computer still adopted ideal step edge masks, because of the principle deviation in the masks exists as before. The paper is based on problem, conducts theory analysis about principle deviation of the operator, and Presents modified formula of edge range, further more, improves the location accuracy of the operator.","PeriodicalId":103490,"journal":{"name":"Proceedings of the 2020 5th International Conference on Mathematics and Artificial Intelligence","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124455059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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