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2019 6th International Conference on Systems and Informatics (ICSAI)最新文献

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Dendritic Branches of DNM Help to Improve Approximation accuracy DNM的树突分支有助于提高逼近精度
2019 6th International Conference on Systems and Informatics (ICSAI) Pub Date : 2019-11-01 DOI: 10.1109/ICSAI48974.2019.9010196
Jiaxin He, Jingyao Wu, Guangchi Yuan, Yuki Todo
{"title":"Dendritic Branches of DNM Help to Improve Approximation accuracy","authors":"Jiaxin He, Jingyao Wu, Guangchi Yuan, Yuki Todo","doi":"10.1109/ICSAI48974.2019.9010196","DOIUrl":"https://doi.org/10.1109/ICSAI48974.2019.9010196","url":null,"abstract":"This paper rigorously establishes that, by increasing the number of dendritic branches, we can achieve an infinite approximation to any continuous function with any accuracy. In other words, the accuracy can be improved by using one neuron with more dendritic branches under the premise of using the backpropagation neural network theory.","PeriodicalId":270809,"journal":{"name":"2019 6th International Conference on Systems and Informatics (ICSAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129091513","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
An application to Generate, Correct and Grade Multiple-choice Tests 一个应用程序来生成，纠正和评分选择题
2019 6th International Conference on Systems and Informatics (ICSAI) Pub Date : 2019-11-01 DOI: 10.1109/ICSAI48974.2019.9010132
M. Calado, Ana Ramos, Paulino Jonas
{"title":"An application to Generate, Correct and Grade Multiple-choice Tests","authors":"M. Calado, Ana Ramos, Paulino Jonas","doi":"10.1109/ICSAI48974.2019.9010132","DOIUrl":"https://doi.org/10.1109/ICSAI48974.2019.9010132","url":null,"abstract":"When having hundreds or thousands of multiple-choice exams to correct and grade, time optimization, minimized delays on grades delivery, a transparent correction process and agility during the period of grade complaints are important issues. Our paper describes the design, implementation and results of SICOA, a web-based application for the automatic correction and grading of multiple-choice tests to tackle these challenges. The automatic correction is based on the optical recognition of the marks done by candidates on exams. This web-based software generates fully customized answer sheets that are printed and distributed to candidates. The applicant's personal information is encrypted and protected with a QR Code printed on exams. Answer sheets are scanned into the system and its marks are compared against previously defined exam variants with the correct answers. Digitization avoids the loss of exams, creates a digital archive of exams thus facilitating their review when analyzing the complaints of candidates or for future research work. A roll-based access control matrix is used. Operations performed in the automatic correction system can be audited.","PeriodicalId":270809,"journal":{"name":"2019 6th International Conference on Systems and Informatics (ICSAI)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122240687","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
VLSI Architecture of 36-Mode Reconfigurable FFT Hardware Chip with Newly-Developed 2D-FIFO Arrangement Structure 采用新型2D-FIFO排列结构的36模式可重构FFT硬件芯片的VLSI结构
2019 6th International Conference on Systems and Informatics (ICSAI) Pub Date : 2019-11-01 DOI: 10.1109/ICSAI48974.2019.9010464
Xin-Yu Shih
{"title":"VLSI Architecture of 36-Mode Reconfigurable FFT Hardware Chip with Newly-Developed 2D-FIFO Arrangement Structure","authors":"Xin-Yu Shih","doi":"10.1109/ICSAI48974.2019.9010464","DOIUrl":"https://doi.org/10.1109/ICSAI48974.2019.9010464","url":null,"abstract":"In this paper, we propose a reconfigurable FFT hardware architecture for 3GPP LTE systems, supporting up to 36 different FFT sizes. It simultaneously includes various mixed- radix combination of radix-2, radix-3, and radix-5 FFT operations in a stand-alone FFT-processing chip. In the main FFT -computing, a novel reconfigurable processing kernel engine is developed to support 4 configuration types of changeable hybrid-radix FFT operations. In the data storage aspect, a newly-developed 2D-FIFO arrangement structure is used to flexibly handle efficient reading and writing data-access for 36 different FFT sizes. In addition to FPGA prototyping design approach, we also provide the ASIC implementation by TSMC 90-nm CMOS technology. The developed FFT chip only has a core area of 1.416 mm2, consuming 24.2 mW and reaching maximum operating frequency of 111.11 MHz in chip.","PeriodicalId":270809,"journal":{"name":"2019 6th International Conference on Systems and Informatics (ICSAI)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116951201","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
Spectrum data acquisition and modeling of materials based on compressed sensing 基于压缩感知的材料光谱数据采集与建模
2019 6th International Conference on Systems and Informatics (ICSAI) Pub Date : 2019-11-01 DOI: 10.1109/ICSAI48974.2019.9010474
Fanzhi Kong, Genyuan Zhang
{"title":"Spectrum data acquisition and modeling of materials based on compressed sensing","authors":"Fanzhi Kong, Genyuan Zhang","doi":"10.1109/ICSAI48974.2019.9010474","DOIUrl":"https://doi.org/10.1109/ICSAI48974.2019.9010474","url":null,"abstract":"Based on the characteristics of multispectral color data (the uniqueness of multispectral data, which does not depend on specific media, application gamut, observer and other factors, and can achieve accurate color reproduction and reproduction), the research scheme of this paper uses compression sensing technology to achieve the acquisition of surface material data of complex objects, and combines multispectral data processing, analysis and other technologies to build multispectral data. Expression model of data.","PeriodicalId":270809,"journal":{"name":"2019 6th International Conference on Systems and Informatics (ICSAI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128156682","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
Machine Learning Based Information Extraction for Diabetic Nephropathy in Clinical Text Documents 基于机器学习的糖尿病肾病临床文献信息提取
2019 6th International Conference on Systems and Informatics (ICSAI) Pub Date : 2019-11-01 DOI: 10.1109/ICSAI48974.2019.9010211
X. Bao, Shuanglian Xie, Kai Zhang, Kai Song, Yunhaonan Yang
{"title":"Machine Learning Based Information Extraction for Diabetic Nephropathy in Clinical Text Documents","authors":"X. Bao, Shuanglian Xie, Kai Zhang, Kai Song, Yunhaonan Yang","doi":"10.1109/ICSAI48974.2019.9010211","DOIUrl":"https://doi.org/10.1109/ICSAI48974.2019.9010211","url":null,"abstract":"Diabetic nephropathy is common complication of diabetes mellitus, it's important to intervene early. For building a predictive model for diabetic nephropathy. In order to extract relevant information as a prediction risk factor, we construct a golden standard corpus. 3422 admission summary notes from 2013 to 2017 in a tertiary hospital were included in the study. An information extraction method based on machine learning models is proposed to extract important information from unstructured medical record texts, in which Adaboost on Duration of Diabetes has best performance (F1=0.97), and Family history of heart disease extraction is most challenge, F1 value of best model result SVM is 0.73. The best performance of the other six types of information extraction model is between 0.85 and 0.96, and the practical application is feasible.","PeriodicalId":270809,"journal":{"name":"2019 6th International Conference on Systems and Informatics (ICSAI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134632128","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
Knowledge-based Neural Models for Modelling High-Frequency Electronics Circuits 基于知识的高频电子电路建模神经模型
2019 6th International Conference on Systems and Informatics (ICSAI) Pub Date : 2019-11-01 DOI: 10.1109/ICSAI48974.2019.9010157
Qi-jun Zhang, W. Na, Ming Li, Y. Lan, Q. Ding, Guangsheng Wu
{"title":"Knowledge-based Neural Models for Modelling High-Frequency Electronics Circuits","authors":"Qi-jun Zhang, W. Na, Ming Li, Y. Lan, Q. Ding, Guangsheng Wu","doi":"10.1109/ICSAI48974.2019.9010157","DOIUrl":"https://doi.org/10.1109/ICSAI48974.2019.9010157","url":null,"abstract":"Artificial neural networks are information processing systems having achieved great success in many areas such as speech recognition, image processing and more. In this paper, we describe neural network approaches to learn the complex behavior of high-frequency electronic circuits through learning. The training data which embed the information of high-frequency electronic behavior and their relationships with structural parameters are obtained by electromagnetic simulation. We address the issue of data generation expenses for training neural networks by incorporating prior knowledge of electronic behavior in the form of semi-analytical equations and equivalent circuits. The knowledge based neural network model can be trained with less data while retaining neural network accuracy, and can exhibit good tendency of electronic behavior even used outside the training region.","PeriodicalId":270809,"journal":{"name":"2019 6th International Conference on Systems and Informatics (ICSAI)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132924753","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
STCP: Simple Transaction Commit Protocol for Wireless Sensor Networks 无线传感器网络的简单事务提交协议
2019 6th International Conference on Systems and Informatics (ICSAI) Pub Date : 2019-11-01 DOI: 10.1109/ICSAI48974.2019.9010100
Youqing Guan, Ke Zhang, Yanran Guan
{"title":"STCP: Simple Transaction Commit Protocol for Wireless Sensor Networks","authors":"Youqing Guan, Ke Zhang, Yanran Guan","doi":"10.1109/ICSAI48974.2019.9010100","DOIUrl":"https://doi.org/10.1109/ICSAI48974.2019.9010100","url":null,"abstract":"To effectively ensure data consistency is a challenge in today's wireless sensor network (WSN) applications. This paper, based on the simplification of traditional transaction processing from database management system (DBMS), puts forward the concepts of update transaction and query transaction within the context of WSNs and proposes a novel transaction processing protocol, the simple transaction commit protocol (STCP), for WSN systems. In STCP, the base station, as coordinator, is responsible for initializing a transaction and broadcasting the transaction to participant nodes. The participants, on the other hand, commit the transaction according to a timer, which enables the participants to send acknowledgment or conflict messages to the base station at a regular time interval. The transactions suspended by conflict are awakened through a triggering mechanism. Compared to the traditional protocols of distributed systems, STCP, which adapts better to the characteristics and requirements of WSNs, can effectively and efficiently ensure data consistency in WSN systems.","PeriodicalId":270809,"journal":{"name":"2019 6th International Conference on Systems and Informatics (ICSAI)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131747122","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
An Lipreading Modle with DenseNet and E3D-LSTM 基于DenseNet和E3D-LSTM的唇读模型
2019 6th International Conference on Systems and Informatics (ICSAI) Pub Date : 2019-11-01 DOI: 10.1109/ICSAI48974.2019.9010432
Chongyuan Bi, Dongping Zhang, Li Yang, Ping Chen
{"title":"An Lipreading Modle with DenseNet and E3D-LSTM","authors":"Chongyuan Bi, Dongping Zhang, Li Yang, Ping Chen","doi":"10.1109/ICSAI48974.2019.9010432","DOIUrl":"https://doi.org/10.1109/ICSAI48974.2019.9010432","url":null,"abstract":"For Chinese lip reading, the paper proposes an improved DenseNet network structure to strengthen the ability of short-term dependence of the model. At the backend,E3D-LSTM is adopted to conduct time modeling of features extracted from CNN. The loss function of CTC is used to solve different speech habits of speakers, which will lead to different time dependence of the same word. LRW-1000 datasets are used for training, and experiments show that the Chinese recognition rate is better than the traditional method. In the diffferent length of sequences, our work arrives 38.96%in easy,38.49% in medium and 37.92% in hard, respectively.","PeriodicalId":270809,"journal":{"name":"2019 6th International Conference on Systems and Informatics (ICSAI)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123865559","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
Influence on the Vertical Coherence of Transfer Function by Types of Sound Speed Profile in Shallow Water Waveguide 浅水波导声速剖面类型对传递函数垂直相干性的影响
2019 6th International Conference on Systems and Informatics (ICSAI) Pub Date : 2019-11-01 DOI: 10.1109/ICSAI48974.2019.9010198
Yinghua Guo, Yingchun Chen, Xinning Chen, Yali Qi
{"title":"Influence on the Vertical Coherence of Transfer Function by Types of Sound Speed Profile in Shallow Water Waveguide","authors":"Yinghua Guo, Yingchun Chen, Xinning Chen, Yali Qi","doi":"10.1109/ICSAI48974.2019.9010198","DOIUrl":"https://doi.org/10.1109/ICSAI48974.2019.9010198","url":null,"abstract":"The small change of sound velocity in shallow water will lead to a significant change of sound field in the vertical direction. For three typical types of shallow water sound velocity profiles, the normal wave model is used to simulate and calculate the channel transmission function, and the vertical correlation is analyzed. The simulation results show that the vertical correlation of the channel transfer function of the weak positive gradient and the weak positive gradient has the same trend with the depth when the depth of the receiver is constant. For the sound velocity profile with a jump layer, the vertical correlation of the channel transfer function changes sharply when the depth of the receiver is constant.","PeriodicalId":270809,"journal":{"name":"2019 6th International Conference on Systems and Informatics (ICSAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129298745","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
Hyperspectral image classification based on pre-post combination process 基于前后组合过程的高光谱图像分类
2019 6th International Conference on Systems and Informatics (ICSAI) Pub Date : 2019-11-01 DOI: 10.1109/ICSAI48974.2019.9010227
Kaiqing Luo, Yong Qin, Dan Yin, Hua Xiao
{"title":"Hyperspectral image classification based on pre-post combination process","authors":"Kaiqing Luo, Yong Qin, Dan Yin, Hua Xiao","doi":"10.1109/ICSAI48974.2019.9010227","DOIUrl":"https://doi.org/10.1109/ICSAI48974.2019.9010227","url":null,"abstract":"Aiming at the problem of poor classification accuracy of traditional machine learning algorithms based on spectral information analysis, this paper proposes a hyperspectral image classification method based on pre-processing before classification and processing optimization combination after classification. Firstly, the original samples are subjected to Gaussian filter and Linear discriminant analysis for reducing noise and dimensions. Then, the data is initially classified by traditional machine learning algorithms such as k-nearest neighbor(KNN), Support Vector Machine (SVM), sparse representation-based classifier (SRC)or multiple logistic regression (MLR). Combining local pixel spatial information to determine the confidence of the prediction labels. Finally, the initial prediction label is corrected by a continuous multi-layer neighborhood optimization layers to obtain a final classification label. Comparative experiments were performed on multiple hyperspectral remote sensing databases such as Indian Pines. The experimental results show that the proposed method has obvious performance improvement in classification accuracy and time efficiency, which has a certain degree of robustness in the process of combining with different classifiers.","PeriodicalId":270809,"journal":{"name":"2019 6th International Conference on Systems and Informatics (ICSAI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129054387","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
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