Pub Date : 2019-09-01DOI: 10.1109/idaacs.2019.8924311
Tangxiao Yuan, Huafei Fan, Huifen Wang, K. Adjallah, Zhouhang Wang
At present, request/reply data transmission mode is often adopted between industrial application and data acquisition equipment. But they are highly dependent on each other, which reduces the timeliness of data transmission and fails to meet the workshop data flexible demands of industrial applications. In this paper, a workshop data transmission mode based on publish/subscribe communication mode is designed. The message proxy server based on the MQTT protocol is designed in detail, and the publish and subscribe process of the client is analyzed. The test shows that with the increase in the number of subscription clients, the delay of sending messages increases linearly without any surge.
{"title":"Data Transmission Scheme Based on Publish/Subscribe in Workshop","authors":"Tangxiao Yuan, Huafei Fan, Huifen Wang, K. Adjallah, Zhouhang Wang","doi":"10.1109/idaacs.2019.8924311","DOIUrl":"https://doi.org/10.1109/idaacs.2019.8924311","url":null,"abstract":"At present, request/reply data transmission mode is often adopted between industrial application and data acquisition equipment. But they are highly dependent on each other, which reduces the timeliness of data transmission and fails to meet the workshop data flexible demands of industrial applications. In this paper, a workshop data transmission mode based on publish/subscribe communication mode is designed. The message proxy server based on the MQTT protocol is designed in detail, and the publish and subscribe process of the client is analyzed. The test shows that with the increase in the number of subscription clients, the delay of sending messages increases linearly without any surge.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"66 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":"127025012","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.2019.8924282
Afzal Ahmad, Muhammad Adeel Pasha, S. Masud, Manuel Schappacher, Assila Belhouichet, A. Sikora
With the surge in global data consumption with proliferation of Internet of Things (IoT), remote monitoring and control is increasingly becoming popular with a wide range of applications from emergency response in remote regions to monitoring of environmental parameters. Mesh networks are being employed to alleviate a number of issues associated with single-hop communication such as low area coverage, reliability, range and high energy consumption. Low-power Wireless Personal Area Networks (LoWPANs) are being used to help realize and permeate the applicability of IoT. In this paper, we present the design and test of IEEE 802.15.4-compliant smart IoT nodes with multi-hop routing. We first discuss the features of the software stack and design choices in hardware that resulted in high RF output power and then present field test results of different baseline network topologies in both rural and urban settings to demonstrate the deployability and scalability of our solution.
{"title":"Multi-hop Routing Implementation in Spatially Distributed Wireless Sensor Networks for Large-Scale Environmental Monitoring Applications","authors":"Afzal Ahmad, Muhammad Adeel Pasha, S. Masud, Manuel Schappacher, Assila Belhouichet, A. Sikora","doi":"10.1109/IDAACS.2019.8924282","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924282","url":null,"abstract":"With the surge in global data consumption with proliferation of Internet of Things (IoT), remote monitoring and control is increasingly becoming popular with a wide range of applications from emergency response in remote regions to monitoring of environmental parameters. Mesh networks are being employed to alleviate a number of issues associated with single-hop communication such as low area coverage, reliability, range and high energy consumption. Low-power Wireless Personal Area Networks (LoWPANs) are being used to help realize and permeate the applicability of IoT. In this paper, we present the design and test of IEEE 802.15.4-compliant smart IoT nodes with multi-hop routing. We first discuss the features of the software stack and design choices in hardware that resulted in high RF output power and then present field test results of different baseline network topologies in both rural and urban settings to demonstrate the deployability and scalability of our solution.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"147 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":"126393455","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.2019.8924331
V. Mukhin, V. Vyshnivskyi, Y. Kornaga, O. Herasymenko, Yuriy Bazaka, M. Bazaliy
The task to increase the scalability of the distributed computer systems (DCS) arises the new challenges for developing of the effective resources control mechanisms for such systems. This issue is particularly significant for the distributed computer systems with a decentralized resource control mechanism. The paper describes a resource reservation mechanism which allow to prevent the total loading of DCS computational resources. This research is devoted to the study of the functioning of the resource control system (RCS) based on a network-centric approach in the context of resource reservations.
{"title":"Study of the Functioning of the Distributed Computer System with a Resource Control Mechanism Based on a Network-Centric Approach","authors":"V. Mukhin, V. Vyshnivskyi, Y. Kornaga, O. Herasymenko, Yuriy Bazaka, M. Bazaliy","doi":"10.1109/IDAACS.2019.8924331","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924331","url":null,"abstract":"The task to increase the scalability of the distributed computer systems (DCS) arises the new challenges for developing of the effective resources control mechanisms for such systems. This issue is particularly significant for the distributed computer systems with a decentralized resource control mechanism. The paper describes a resource reservation mechanism which allow to prevent the total loading of DCS computational resources. This research is devoted to the study of the functioning of the resource control system (RCS) based on a network-centric approach in the context of resource reservations.","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":"128805075","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.2019.8924343
Z. Ye, Ye Cao, Aixin Zhang, Can Jin, L. Ma, Xiang Hu, Jiwei Hu
Image enhancement based on Beta function is a widely used method for it is able to fit multiple transformation curves, which is a significant step for image analysis. The key step for the method is to find the appropriate parameters to determine the grayscale transformation function. However, it needs a lot of time to seek applicable parameters when enumeration is used and random optimization algorithms often have failures within a limited time and are prone to fall into the local optimum. In order to solve the problems a serial coupled mode of stochastic optimization algorithms is investigated in the paper. According to the model, the differential evolution algorithm and cuckoo search algorithm are tried in image enhancement through serial coupling mode and compared with the traditional optimization algorithm. The experimental results reveals that the proposed approach is feasible and the performance is more balanced, which has a good performance on the image enhancement.
{"title":"An Image Enhancement Optimization Method Based on Differential Evolution Algorithm and Cuckoo Search Through Serial Coupled Mode","authors":"Z. Ye, Ye Cao, Aixin Zhang, Can Jin, L. Ma, Xiang Hu, Jiwei Hu","doi":"10.1109/IDAACS.2019.8924343","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924343","url":null,"abstract":"Image enhancement based on Beta function is a widely used method for it is able to fit multiple transformation curves, which is a significant step for image analysis. The key step for the method is to find the appropriate parameters to determine the grayscale transformation function. However, it needs a lot of time to seek applicable parameters when enumeration is used and random optimization algorithms often have failures within a limited time and are prone to fall into the local optimum. In order to solve the problems a serial coupled mode of stochastic optimization algorithms is investigated in the paper. According to the model, the differential evolution algorithm and cuckoo search algorithm are tried in image enhancement through serial coupling mode and compared with the traditional optimization algorithm. The experimental results reveals that the proposed approach is feasible and the performance is more balanced, which has a good performance on the image enhancement.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"40 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":"132670732","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.2019.8924251
V. Kharchenko, Yuriy Ponochovnyi, Al-Sudani Mustafa Qahtan Abdulmunem, Iryna Shulga
The paper describes modification of the ATA (Attack Tree Analysis) technique for assessment of instrumentation and control systems (ICS) dependability (reliability, availability and cyber security) called AvTA (Availability Tree Analysis). The techniques FMEA, FMECA and IMECA applied to carry out preliminary semi-formal and criticality oriented analysis before AvTA based assessment are described. AvTA models combine reliability and cyber security subtrees considering probabilities of ICS recovery in case of hardware (physical) and software (design) failures and attacks on components casing failures. Successful recovery events (SREs) avoid corresponding failures in tree using OR gates if probabilities of SRE for assumed time are more than required. Case for dependability AvTA based assessment (model, availability function and technology of decision-making for choice of component and system parameters) for smart building ICS (Building Automation Systems, BAS) is discussed.
{"title":"AvTA Based Assessment of Dependability Considering Recovery After Failures and Attacks on Vulnerabilities","authors":"V. Kharchenko, Yuriy Ponochovnyi, Al-Sudani Mustafa Qahtan Abdulmunem, Iryna Shulga","doi":"10.1109/IDAACS.2019.8924251","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924251","url":null,"abstract":"The paper describes modification of the ATA (Attack Tree Analysis) technique for assessment of instrumentation and control systems (ICS) dependability (reliability, availability and cyber security) called AvTA (Availability Tree Analysis). The techniques FMEA, FMECA and IMECA applied to carry out preliminary semi-formal and criticality oriented analysis before AvTA based assessment are described. AvTA models combine reliability and cyber security subtrees considering probabilities of ICS recovery in case of hardware (physical) and software (design) failures and attacks on components casing failures. Successful recovery events (SREs) avoid corresponding failures in tree using OR gates if probabilities of SRE for assumed time are more than required. Case for dependability AvTA based assessment (model, availability function and technology of decision-making for choice of component and system parameters) for smart building ICS (Building Automation Systems, BAS) is discussed.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"31 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":"130318105","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.2019.8924422
Mauricio Postigo-Málaga, Luis Porras Figueroa, J. Chilo
Finding a free parking space in the metropolitan areas during rush hour is time consuming and it leads to traffic congestions and air pollution. Wireless Sensor Network (WSN) can be used to obtain information related to the parking condition requiring very little installation and maintenance costs. In this work, we present the design and implementation of an outdoor parking system based on Wireless Sensor Networks (WSNs), received signal strength (RSS) and pattern recognition algorithms to effectively find free parking spaces. Simulation and experiment results show good performance in the verification of the parking system. XBee-PRO 900HP-S3B modules with high performance and low power consumption were used. These modules support the IEEE-802.15.4 protocol for communication in the 900 MHz band and can be configured in different network topologies. The received signal strength (RSS) was measured to form fingerprints for the parking spaces availability (busy or vacant). Kalman filters were implemented to improve RSS which varies due to the effects of short-term fading. The parking spaces availability was evaluated with different classification algorithms in the WEKA environment with results up to 85%.
{"title":"Low Cost Outdoors WSN Parking System for Metropolitan Areas Based on RSS","authors":"Mauricio Postigo-Málaga, Luis Porras Figueroa, J. Chilo","doi":"10.1109/IDAACS.2019.8924422","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924422","url":null,"abstract":"Finding a free parking space in the metropolitan areas during rush hour is time consuming and it leads to traffic congestions and air pollution. Wireless Sensor Network (WSN) can be used to obtain information related to the parking condition requiring very little installation and maintenance costs. In this work, we present the design and implementation of an outdoor parking system based on Wireless Sensor Networks (WSNs), received signal strength (RSS) and pattern recognition algorithms to effectively find free parking spaces. Simulation and experiment results show good performance in the verification of the parking system. XBee-PRO 900HP-S3B modules with high performance and low power consumption were used. These modules support the IEEE-802.15.4 protocol for communication in the 900 MHz band and can be configured in different network topologies. The received signal strength (RSS) was measured to form fingerprints for the parking spaces availability (busy or vacant). Kalman filters were implemented to improve RSS which varies due to the effects of short-term fading. The parking spaces availability was evaluated with different classification algorithms in the WEKA environment with results up to 85%.","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":"132716193","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.2019.8924420
Can Jin, Z. Ye, Lingyu Yan, Ye Cao, Aixin Zhang, L. Ma, Xiang Hu, Jiwei Hu
Image segmentation is the indispensable part in the field of computer vision. There are tremendous methods for handling this task such as Otsu-thresholding and Fuzzy C-means (FCM). However, the segmentation results of the images are occasionally unsatisfactory due to the presence of noise. In this paper, two kinds of spatial information consisting of the relative position information and the intensity information of the neighborhood pixels in an image are taken into consideration in constructing the objective function in FCM. Moreover, Ant Lion Optimization, one of the recently proposed optimization algorithms is utilized to optimize the relevant index. Bioinspired ALO has the robust ability to find optimal parameters in search spaces. So the proposed approach to image segmentation based on Fuzzy C-Means (FCM) and Ant Lion Optimization (ALO) may alleviate this problem to a certain degree. A series of experimental validation has been implemented for demonstrating the performance of the proposed approach in the end of the paper.
{"title":"Image Segmentation Using Fuzzy C-means Optimized by Ant Lion Optimization","authors":"Can Jin, Z. Ye, Lingyu Yan, Ye Cao, Aixin Zhang, L. Ma, Xiang Hu, Jiwei Hu","doi":"10.1109/IDAACS.2019.8924420","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924420","url":null,"abstract":"Image segmentation is the indispensable part in the field of computer vision. There are tremendous methods for handling this task such as Otsu-thresholding and Fuzzy C-means (FCM). However, the segmentation results of the images are occasionally unsatisfactory due to the presence of noise. In this paper, two kinds of spatial information consisting of the relative position information and the intensity information of the neighborhood pixels in an image are taken into consideration in constructing the objective function in FCM. Moreover, Ant Lion Optimization, one of the recently proposed optimization algorithms is utilized to optimize the relevant index. Bioinspired ALO has the robust ability to find optimal parameters in search spaces. So the proposed approach to image segmentation based on Fuzzy C-Means (FCM) and Ant Lion Optimization (ALO) may alleviate this problem to a certain degree. A series of experimental validation has been implemented for demonstrating the performance of the proposed approach in the end of the paper.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"19 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":"132731385","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.2019.8924302
L. Moroz, V. Samotyy, Oleh Horyachyy, U. Dzelendzyak
This article proposes a set of algorithms for calculating the square root and inverse square root for normalized single and double precision floating-point numbers. They are based on the combination of the Householder's method of cubic convergence and the Newton-Raphson method of quadratic convergence using the magic constant to obtain the initial approximation. The advantage of the algorithms is to increase the accuracy of calculations of these functions without the use of division operation and lookup tables.
{"title":"Algorithms for Calculating the Square Root and Inverse Square Root Based on the Second-Order Householder's Method","authors":"L. Moroz, V. Samotyy, Oleh Horyachyy, U. Dzelendzyak","doi":"10.1109/IDAACS.2019.8924302","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924302","url":null,"abstract":"This article proposes a set of algorithms for calculating the square root and inverse square root for normalized single and double precision floating-point numbers. They are based on the combination of the Householder's method of cubic convergence and the Newton-Raphson method of quadratic convergence using the magic constant to obtain the initial approximation. The advantage of the algorithms is to increase the accuracy of calculations of these functions without the use of division operation and lookup tables.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"64 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":"134140878","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.2019.8924324
Mircea Stefan Simoiu, V. Calofir, I. Fagarasan, Cristina Nichiforov
In control systems, regarding the teaching process, practical aspects are equally important as theoretical aspects. Students should conduct experiments to test the robustness, stability and quality of the designed control systems or control algorithms. Unfortunately, having a modern, equipped laboratory available for all students often implies having to support big acquisition and maintenance costs. In this context, the paper proposes a remote eLearning system, capable of simulating processes and implementing control systems. The solution is developed as an open architecture, in a flexible and cost efficient manner. The goal of the project is to help create a context where students can remotely simulate and implement control systems during classes, from their assigned laboratory computer. The paper also includes a case study on a permanent magnet DC motor as an example for validating the capabilities of the proposed solution.
{"title":"eLearning Remote Simulator for Implementing Control Systems - A Case Study on a DC Motor","authors":"Mircea Stefan Simoiu, V. Calofir, I. Fagarasan, Cristina Nichiforov","doi":"10.1109/IDAACS.2019.8924324","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924324","url":null,"abstract":"In control systems, regarding the teaching process, practical aspects are equally important as theoretical aspects. Students should conduct experiments to test the robustness, stability and quality of the designed control systems or control algorithms. Unfortunately, having a modern, equipped laboratory available for all students often implies having to support big acquisition and maintenance costs. In this context, the paper proposes a remote eLearning system, capable of simulating processes and implementing control systems. The solution is developed as an open architecture, in a flexible and cost efficient manner. The goal of the project is to help create a context where students can remotely simulate and implement control systems during classes, from their assigned laboratory computer. The paper also includes a case study on a permanent magnet DC motor as an example for validating the capabilities of the proposed solution.","PeriodicalId":415006,"journal":{"name":"2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","volume":"244 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":"132943667","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.2019.8924350
Cristina Nichiforov, G. Stamatescu, Iulia Stamatescu, N. Arghira, I. Fagarasan, S. S. Iliescu
Fine grained measurement of electrical energy consumption in commercial buildings is essential for improved fault diagnosis and control with impact on the overall operation as well as user comfort. An open system architecture is presented for data collection, processing and communication of measured energy patterns at the local and aggregated level. The implementation is based on an embedded development board with current and voltage sensors, supported by open-source software and packages. Suitable user and programmatic interfaces allow reliable bidirectional connection to external automation equipment and information systems. such as the Building Management Systems (BMS). Recent advances in advanced algorithms for time series pre-processing and data-driven modelling allow good quality in situ predictions for the collected measurements. A relevant example consists of neural network based learning systems which are able to provide accurate hour-ahead and day-ahead predictions that contribute to reduction of peak demand with economic and environmental impact. Integration of such platforms in higher-level Cyber-Physical Energy Systems (CPES) is further discussed.
{"title":"Embedded On-line System for Electrical Energy Measurement and Forecasting in Buildings","authors":"Cristina Nichiforov, G. Stamatescu, Iulia Stamatescu, N. Arghira, I. Fagarasan, S. S. Iliescu","doi":"10.1109/IDAACS.2019.8924350","DOIUrl":"https://doi.org/10.1109/IDAACS.2019.8924350","url":null,"abstract":"Fine grained measurement of electrical energy consumption in commercial buildings is essential for improved fault diagnosis and control with impact on the overall operation as well as user comfort. An open system architecture is presented for data collection, processing and communication of measured energy patterns at the local and aggregated level. The implementation is based on an embedded development board with current and voltage sensors, supported by open-source software and packages. Suitable user and programmatic interfaces allow reliable bidirectional connection to external automation equipment and information systems. such as the Building Management Systems (BMS). Recent advances in advanced algorithms for time series pre-processing and data-driven modelling allow good quality in situ predictions for the collected measurements. A relevant example consists of neural network based learning systems which are able to provide accurate hour-ahead and day-ahead predictions that contribute to reduction of peak demand with economic and environmental impact. Integration of such platforms in higher-level Cyber-Physical Energy Systems (CPES) is further discussed.","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":"133032235","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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