Pub Date : 2019-09-01DOI: 10.1109/IDAACS.2019.8924333
Yan Liu, Ya-Di Hu, Haibo Wang, Can Jin, Dawei Dong
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.
{"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}
Pub Date : 2019-09-01DOI: 10.1109/IDAACS.2019.8924382
Jan Stodt, Eugen Jastremskoj, C. Reich, Dominik Welte, A. Sikora
Maintenance processes in Industry 4.0 applications try to achieve a high degree of quality to reduce the downtime of machinery. The monitoring of executed maintenance activities is challenging as in complex production setups, multiple stakeholders are involved. So, full transparency of the different activities and of the state of the machine can only be supported, if these stakeholders trust each other. Therefore, distributed ledger technologies, like Blockchain, can be promising candidates for supporting such applications. The goal of this paper is a formal description of business and technical interactions between non-trustful stakeholders in the context of Industry 4.0 maintenance processes using distributed ledger technologies. It also covers the integration of smart contracts for automated triggering of activities.
{"title":"Formal Description of Use Cases for Industry 4.0 Maintenance Processes Using Blockchain Technology","authors":"Jan Stodt, Eugen Jastremskoj, C. Reich, Dominik Welte, A. Sikora","doi":"10.1109/IDAACS.2019.8924382","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924382","url":null,"abstract":"Maintenance processes in Industry 4.0 applications try to achieve a high degree of quality to reduce the downtime of machinery. The monitoring of executed maintenance activities is challenging as in complex production setups, multiple stakeholders are involved. So, full transparency of the different activities and of the state of the machine can only be supported, if these stakeholders trust each other. Therefore, distributed ledger technologies, like Blockchain, can be promising candidates for supporting such applications. The goal of this paper is a formal description of business and technical interactions between non-trustful stakeholders in the context of Industry 4.0 maintenance processes using distributed ledger technologies. It also covers the integration of smart contracts for automated triggering of activities.","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":"131209808","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 : 2019-09-01DOI: 10.1109/IDAACS.2019.8924286
Zhengbing Hu, Yevhen Vasiliu, Oleksii Smirnov, V. Sydorenko, Yuliia Polishchuk
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.
{"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}
Pub Date : 2019-09-01DOI: 10.1109/IDAACS.2019.8924308
Hongwe Chen, Qiao Hou, Lin Han, Zhou Hu, Z. Ye, Jun Zeng, Jiansen Yuan
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.
{"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}
Pub Date : 2019-09-01DOI: 10.1109/IDAACS.2019.8924436
L. Godlevsky, K. Shakun, V. Martsenyuk, T. Tatarchuk, T. Stoeva, T. Godlevska, Ilya Shakun, A. Kłos-Witkowska
In this study, we demonstrate the informative significance of the color intensity variation within the experimental voiding for parameters calculation of the urine flow and propose an easy method to record such data with a smartphone camera. The Bouguer-Lambert law was used to determine the height of the urine column in the reservoir. The time dependence of urination volume velocity was used to reconstruct the uroflowmetric curve. For the processing of video data, the multiscale gradient method was used. The accuracy of the proposed approach was tested on different models of smartphones.
{"title":"Dynamic Changes of the Colour Intensity of Collected Urine as a Basis for a Distant Uroflowmetry","authors":"L. Godlevsky, K. Shakun, V. Martsenyuk, T. Tatarchuk, T. Stoeva, T. Godlevska, Ilya Shakun, A. Kłos-Witkowska","doi":"10.1109/IDAACS.2019.8924436","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924436","url":null,"abstract":"In this study, we demonstrate the informative significance of the color intensity variation within the experimental voiding for parameters calculation of the urine flow and propose an easy method to record such data with a smartphone camera. The Bouguer-Lambert law was used to determine the height of the urine column in the reservoir. The time dependence of urination volume velocity was used to reconstruct the uroflowmetric curve. For the processing of video data, the multiscale gradient method was used. The accuracy of the proposed approach was tested on different models of smartphones.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"29 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":"132259159","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 : 2019-09-01DOI: 10.1109/IDAACS.2019.8924400
A. Gozhyj, I. Kalinina, Victor Gozhyj, V. Vysotska
The investigation focuses on the use of Petri Nets for web services interaction modeling. It is discovered that Hierarchical Time Petri Nets is the most effective way to create web service interaction models. That is due to the fact that they can be used to build hierarchical models of complex systems, and investigate their dynamics. Moreover, the research describes a custom algebra-algorithmic system. It comprises the basis for further web services semantics and description. The models are developed with the custom algebra-algorithmic system operations. Service models are created with Petri colored nets. Models and imitational modeling are performed in the CPN-tools environment.
{"title":"Web Service Interaction Modeling with Colored Petri Nets","authors":"A. Gozhyj, I. Kalinina, Victor Gozhyj, V. Vysotska","doi":"10.1109/IDAACS.2019.8924400","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924400","url":null,"abstract":"The investigation focuses on the use of Petri Nets for web services interaction modeling. It is discovered that Hierarchical Time Petri Nets is the most effective way to create web service interaction models. That is due to the fact that they can be used to build hierarchical models of complex systems, and investigate their dynamics. Moreover, the research describes a custom algebra-algorithmic system. It comprises the basis for further web services semantics and description. The models are developed with the custom algebra-algorithmic system operations. Service models are created with Petri colored nets. Models and imitational modeling are performed in the CPN-tools environment.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"209 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":"132483271","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 : 2019-09-01DOI: 10.1109/IDAACS.2019.8924339
C. Chitu, G. Stamatescu, Iulia Stamatescu, V. Sgârciu
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.
{"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}
Pub Date : 2019-09-01DOI: 10.1109/IDAACS.2019.8924399
R. Avanzato, F. Beritelli, Francesco Di Franco, Valerio Francesco Puglisi
The recent climatic changes imply an increasing manifestation of calamitous phenomena related to important hydrogeological disruptions in many parts of the earth. For this reason, an accurate estimate of rainfall levels becomes essential to be able to warn of the imminent occurrence of a calamitous event and reduce the risk to human beings. This paper proposes an approach based on Convolutional Neural Networks (CNN) to the classification of the audio signal coming from a new rainfall system.
{"title":"A Convolutional Neural Networks Approach to Audio Classification for Rainfall Estimation","authors":"R. Avanzato, F. Beritelli, Francesco Di Franco, Valerio Francesco Puglisi","doi":"10.1109/IDAACS.2019.8924399","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924399","url":null,"abstract":"The recent climatic changes imply an increasing manifestation of calamitous phenomena related to important hydrogeological disruptions in many parts of the earth. For this reason, an accurate estimate of rainfall levels becomes essential to be able to warn of the imminent occurrence of a calamitous event and reduce the risk to human beings. This paper proposes an approach based on Convolutional Neural Networks (CNN) to the classification of the audio signal coming from a new rainfall system.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"134 1-3 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":"116707966","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 : 2019-09-01DOI: 10.1109/IDAACS.2019.8924268
I. Sidenko, G. Kondratenko, Pavlo Kushneryk, Y. Kondratenko
Research in the field of human machine interaction and machine learning contributed to the revival of the chatbots. They are virtual interlocutors whose logical apparatus is based on artificial intelligence. However, recent reviews show that chatbots are perceived as unwise systems. These results contributed to the rapid introduction of chatbots in social networks. At the same time, the question of choosing the structure of a neural network for learning dialogue systems, the principles and features of human machine interaction remains important. In this paper various architectures of neural networks are being compared, and it's own chatbot using encoder-decoder architecture with attention mechanism is developed. For implementation, the Python programming language is used. TensorFlow framework is used for deep learning. The simulation results confirm the effectiveness of the proposed approach to speech recognition and human machine interaction.
{"title":"Peculiarities of Human Machine Interaction for Synthesis of the Intelligent Dialogue Chatbot","authors":"I. Sidenko, G. Kondratenko, Pavlo Kushneryk, Y. Kondratenko","doi":"10.1109/IDAACS.2019.8924268","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924268","url":null,"abstract":"Research in the field of human machine interaction and machine learning contributed to the revival of the chatbots. They are virtual interlocutors whose logical apparatus is based on artificial intelligence. However, recent reviews show that chatbots are perceived as unwise systems. These results contributed to the rapid introduction of chatbots in social networks. At the same time, the question of choosing the structure of a neural network for learning dialogue systems, the principles and features of human machine interaction remains important. In this paper various architectures of neural networks are being compared, and it's own chatbot using encoder-decoder architecture with attention mechanism is developed. For implementation, the Python programming language is used. TensorFlow framework is used for deep learning. The simulation results confirm the effectiveness of the proposed approach to speech recognition and human machine interaction.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"5 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":"115027529","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 : 2019-09-01DOI: 10.1109/IDAACS.2019.8924372
V. Yatskiv, A. Sachenko, N. Yatskiv, P. Bykovyy, A. Segin
The paper proposes a new approach to compression and data transmission in Internet of Things environment, based on the transformation of the Residue Number System and the method of arithmetic coding. The transformation of the Residue Number System is used to divide the data into parts. As a result, the received remainders are compressing in parallel used the arithmetic coding. Then they are transmitting through parallel routes, if the last ones are present. The proposed approach improves the processing speed through the parallel work and provides a compression ratio of depending on the type of data.
{"title":"Compression and Transfer of Images in Wireless Sensor Networks Using the Transformation of Residue Number System","authors":"V. Yatskiv, A. Sachenko, N. Yatskiv, P. Bykovyy, A. Segin","doi":"10.1109/IDAACS.2019.8924372","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924372","url":null,"abstract":"The paper proposes a new approach to compression and data transmission in Internet of Things environment, based on the transformation of the Residue Number System and the method of arithmetic coding. The transformation of the Residue Number System is used to divide the data into parts. As a result, the received remainders are compressing in parallel used the arithmetic coding. Then they are transmitting through parallel routes, if the last ones are present. The proposed approach improves the processing speed through the parallel work and provides a compression ratio of depending on the type of data.","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":"134609009","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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