2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)最新文献_第10页

Improved Spatio-temporal Kringing and its Application to Regional Precipitation Prediction 改进时空克林格及其在区域降水预测中的应用

2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) Pub Date : 2019-09-01 DOI: 10.1109/IDAACS.2019.8924333

Yan Liu, Ya-Di Hu, Haibo Wang, Can Jin, Dawei Dong

{"title":"Improved Spatio-temporal Kringing and its Application to Regional Precipitation Prediction","authors":"Yan Liu, Ya-Di Hu, Haibo Wang, Can Jin, Dawei Dong","doi":"10.1109/IDAACS.2019.8924333","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924333","url":null,"abstract":"Precipitation is one of the most important elements in meteorological data. However, due to the limitation of resource conditions, the number of meteorological stations is limited, and interpolation is required to obtain the precipitation data in the observation area and other locations. Kriging interpolation whose core is to obtain the best variogram model is widely used in the prediction of regional precipitation. However, it is difficult to find perfect estimating model, and numerous approachs are utilized to handle this problem. In order to gain better parameters and model, an improved spatiotemporal Kriging interpolation method is proposed in this paper. The chaotic ant-lion algorithm (CALO) is employed to seek suitable parameters of the variogram both in the space domain and the time domain. This evolutionary algorithm whose performance has been validated in the literatures is not vulnerable to search the global solution. The experiment is conducted in terms of the fitting effect and interpolation effect, error analysis to demonstrate the superior performance of the proposed method, compared to other fitting methods such as Least square method. Several optimization algorithms are used to constitute the contrast experiment. The experimental results show that the proposed method prevails among other approachs as far as the precision, calculation cost and effectiveness.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130710301","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

Formal Description of Use Cases for Industry 4.0 Maintenance Processes Using Blockchain Technology 使用区块链技术的工业4.0维护过程用例的正式描述

2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) Pub Date : 2019-09-01 DOI: 10.1109/IDAACS.2019.8924382

Jan Stodt, Eugen Jastremskoj, C. Reich, Dominik Welte, A. Sikora

引用次数: 10

Abstract Model of Eavesdropper and Overview on Attacks in Quantum Cryptography Systems 量子密码系统中的窃听器模型及攻击概述

2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) Pub Date : 2019-09-01 DOI: 10.1109/IDAACS.2019.8924286

Zhengbing Hu, Yevhen Vasiliu, Oleksii Smirnov, V. Sydorenko, Yuliia Polishchuk

{"title":"Abstract Model of Eavesdropper and Overview on Attacks in Quantum Cryptography Systems","authors":"Zhengbing Hu, Yevhen Vasiliu, Oleksii Smirnov, V. Sydorenko, Yuliia Polishchuk","doi":"10.1109/IDAACS.2019.8924286","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924286","url":null,"abstract":"In today's world, it's almost impossible to find a sphere of human life in which information technologies would not be used. On the one hand, it simplifies human life – virtually everyone carries a mini-computer in his pocket and it allows to perform many operations, that took a lot of time, in minutes. In addition, IT has simplified and promptly developed areas such as medicine, banking, document circulation, military, and many other infrastructures of the state. Nevertheless, even today, privacy remains a major problem in many information transactions. One of the most important directions for ensuring the information confidentiality in open communication networks has been and remains its protection by cryptographic methods. Although it is known that traditional cryptography methods give reasons to doubt in their reliability, quantum cryptography has proven itself as a more reliable information security technology. As far is it quite new direction there is no sufficiently complete classification of attacks on quantum cryptography methods, in view of this new extended classification of attacks on quantum protocols and quantum cryptosystems is proposed in this work. Classification takes into account the newest attacks (which use devices loopholes) on quantum key distribution equipment. These attacks have been named «quantum hacking». Such classification may be useful for choosing commercially available quantum key distribution system. Also abstract model of eavesdropper in quantum systems was created and it allows to determine a set of various nature measures that need to be further implemented to provide reliable security with the help of specific quantum systems.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134058589","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

Distributed Text Feature Selection Based On Bat Algorithm Optimization 基于Bat算法优化的分布式文本特征选择

2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) Pub Date : 2019-09-01 DOI: 10.1109/IDAACS.2019.8924308

Hongwe Chen, Qiao Hou, Lin Han, Zhou Hu, Z. Ye, Jun Zeng, Jiansen Yuan

{"title":"Distributed Text Feature Selection Based On Bat Algorithm Optimization","authors":"Hongwe Chen, Qiao Hou, Lin Han, Zhou Hu, Z. Ye, Jun Zeng, Jiansen Yuan","doi":"10.1109/IDAACS.2019.8924308","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924308","url":null,"abstract":"The feature selection effect directly affects the classification accuracy of the text. This paper introduces a new text feature selection method based on bat optimization. This method uses the traditional feature selection method to pre-select the original features, and then uses the bat group algorithm to optimize the pre-selected features in binary code form, and uses the classification accuracy as the individual fitness. However, when the amount of text information is large, the execution time of the single machine is long. According to this shortcoming, combining the Bat Algorithm and the Spark parallel computing framework, the text feature selection algorithm SBATFS is proposed. The algorithm combines the good search performance of the bat algorithm with the distributed and efficient calculation speed to realize the efficient solution of the text feature selection optimization model. The results show that compared with the traditional feature selection method, after SBATFS is used for feature optimization, the classification accuracy is effectively improved.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132177393","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: 6

Dynamic Changes of the Colour Intensity of Collected Urine as a Basis for a Distant Uroflowmetry 收集尿液颜色强度的动态变化作为远端尿流测定的基础

2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) Pub Date : 2019-09-01 DOI: 10.1109/IDAACS.2019.8924436

L. Godlevsky, K. Shakun, V. Martsenyuk, T. Tatarchuk, T. Stoeva, T. Godlevska, Ilya Shakun, A. Kłos-Witkowska

引用次数: 5

Web Service Interaction Modeling with Colored Petri Nets 彩色Petri网的Web服务交互建模

2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) Pub Date : 2019-09-01 DOI: 10.1109/IDAACS.2019.8924400

A. Gozhyj, I. Kalinina, Victor Gozhyj, V. Vysotska

引用次数: 20

Assessment of Occupancy Estimators for Smart Buildings 智能建筑占用估算器的评估

2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) Pub Date : 2019-09-01 DOI: 10.1109/IDAACS.2019.8924339

C. Chitu, G. Stamatescu, Iulia Stamatescu, V. Sgârciu

{"title":"Assessment of Occupancy Estimators for Smart Buildings","authors":"C. Chitu, G. Stamatescu, Iulia Stamatescu, V. Sgârciu","doi":"10.1109/IDAACS.2019.8924339","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924339","url":null,"abstract":"Dense distributed sensor systems deployed to monitor and control the built environment open up wide application areas for improving the quality of life through smart spaces. By implementing these systems in residential or commercial buildings, more efficient, pervasive, real-time and finally more robust decision support is achieved. As one of the key tasks, high accuracy occupancy detection and estimation within buildings offers the potential to improve HVAC utilization while reducing maintenance needs, enhancing energy savings for building operators as well as a more suitable thermal comfort for occupants. In this context the main contribution of the paper consists of an assessment of supervised machine learning techniques namely random forests and extreme machine learning neural networks for indirect occupancy profile estimation. The methods are applied on a benchmarking dataset of indoor carbon dioxide measurements and ventilation damper positions as collected from the building information system. The impact of data preprocessing through filtering and smoothing as well as hardware constraints and cloud distributed processing for algorithm deployment are also discussed. We highlight key challenges and discuss how the learned models can be integrated for online operation to improve energy efficiency.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115120812","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: 4

A Convolutional Neural Networks Approach to Audio Classification for Rainfall Estimation 基于卷积神经网络的降雨音频分类方法

2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) Pub Date : 2019-09-01 DOI: 10.1109/IDAACS.2019.8924399

R. Avanzato, F. Beritelli, Francesco Di Franco, Valerio Francesco Puglisi

引用次数: 10

Peculiarities of Human Machine Interaction for Synthesis of the Intelligent Dialogue Chatbot 智能对话聊天机器人合成中人机交互特性研究

2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) Pub Date : 2019-09-01 DOI: 10.1109/IDAACS.2019.8924268

I. Sidenko, G. Kondratenko, Pavlo Kushneryk, Y. Kondratenko

引用次数: 9

Compression and Transfer of Images in Wireless Sensor Networks Using the Transformation of Residue Number System 基于剩余数变换的无线传感器网络图像压缩与传输

2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) Pub Date : 2019-09-01 DOI: 10.1109/IDAACS.2019.8924372

V. Yatskiv, A. Sachenko, N. Yatskiv, P. Bykovyy, A. Segin

引用次数: 5