Pub Date : 2019-06-01DOI: 10.1109/ECAI46879.2019.9042143
Xavier Quinn
The genesis of Bluetooth heralded a massive influx of tiny, easily produced, data transmitting devices, which due to their low power draw, could be connected to a decent sized battery and transmit data for weeks on end. Now that nearly all phones and computers have this capability built in, it has become useful for any number of reasons to know what type of devices are within an area, and their precise location. Systems have been developed which locate these devices, but only as long as they are within the range of multiple stationary beacons, which, depending on the area wishing to be monitored, may have severe limitations. This paper outlines the development of a system that uses a single sensor to determine the location of Bluetooth devices over any sized area.
{"title":"Single Sensor Bluetooth Multilateration from Arbitrary Locations","authors":"Xavier Quinn","doi":"10.1109/ECAI46879.2019.9042143","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042143","url":null,"abstract":"The genesis of Bluetooth heralded a massive influx of tiny, easily produced, data transmitting devices, which due to their low power draw, could be connected to a decent sized battery and transmit data for weeks on end. Now that nearly all phones and computers have this capability built in, it has become useful for any number of reasons to know what type of devices are within an area, and their precise location. Systems have been developed which locate these devices, but only as long as they are within the range of multiple stationary beacons, which, depending on the area wishing to be monitored, may have severe limitations. This paper outlines the development of a system that uses a single sensor to determine the location of Bluetooth devices over any sized area.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123001835","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9042010
Elena Popescu, T. Popescu
In general, communication is the indispensable element for the optimal functioning of any human community, regardless of its nature and size. In particular, nonverbal communication is the accumulation of messages, which are not expressed by words and which can be decoded, creating meanings (kinesics). This signal can repeat, contradict, replace, complete or accentuate the message sent through words. The importance of nonverbal communication was demonstrated in 1967 by Albert Mehrabian. After a study, he concluded that only 5% of the message is transmitted verbally, while 38% are transmitted by voice and 55% through body language. Therefore, this research aims to demonstrate the importance of nonverbal communication empirically - in job interviews. The general description of this process is made with the help of a qualitative method - the research interview. The interviews have been registered with ten employers form Arges district in 2018–2019. The conclusions of this study were: employers do take in consideration the importance of how the future employee present himself, but only at instinctual level, the local firms do not have human resources trainers specialized in body language. They look for gestures and clothing stiles and the general body expression is taken into consideration. So the main demands form a future employee, in job interviewing, according to some local leaders, included in the interviews are: dynamism and initiative (J. Messinger, p.34), but in reality it is the gestures that makes the final decision if you correspond on not to what the organization wants/needs.
{"title":"Nonverbal Communication in Job Interviews. A Case Study on Local Organisations","authors":"Elena Popescu, T. Popescu","doi":"10.1109/ECAI46879.2019.9042010","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042010","url":null,"abstract":"In general, communication is the indispensable element for the optimal functioning of any human community, regardless of its nature and size. In particular, nonverbal communication is the accumulation of messages, which are not expressed by words and which can be decoded, creating meanings (kinesics). This signal can repeat, contradict, replace, complete or accentuate the message sent through words. The importance of nonverbal communication was demonstrated in 1967 by Albert Mehrabian. After a study, he concluded that only 5% of the message is transmitted verbally, while 38% are transmitted by voice and 55% through body language. Therefore, this research aims to demonstrate the importance of nonverbal communication empirically - in job interviews. The general description of this process is made with the help of a qualitative method - the research interview. The interviews have been registered with ten employers form Arges district in 2018–2019. The conclusions of this study were: employers do take in consideration the importance of how the future employee present himself, but only at instinctual level, the local firms do not have human resources trainers specialized in body language. They look for gestures and clothing stiles and the general body expression is taken into consideration. So the main demands form a future employee, in job interviewing, according to some local leaders, included in the interviews are: dynamism and initiative (J. Messinger, p.34), but in reality it is the gestures that makes the final decision if you correspond on not to what the organization wants/needs.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114183654","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9042006
Ovidiu Plugariu, L. Petrica, Radu Pirea, R. Hobincu
This paper presents the implementation of a heterogeneous Hadoop cluster based on the Zynq ZedBoard development platform with GZIP FPGA offloading for high-speed and energy efficient computing. We have developed the first open source FPGA GZIP compressor, designed for educational and research purposes, that can reach 1 Gbps compression speed using a 125 MHz clock. The core uses only 10% of the Zynq-7020 SoC FPGA resources and is 5.7x faster than the ARM CPU which runs at 667 MHz. We implemented an eight-node Hadoop distributed cluster and performed the Wordcount and Terasort benchmarks using software and hardware GZIP compression during the Map stage. Results show an almost 2x more energy-efficient cluster when compression is done using our GZIP FPGA core than using the software compression. The performance of the Hadoop cluster is limited by the 512 MB of RAM and the low read-write speed of the SD cards which act as hard drives for each node.
{"title":"Hadoop ZedBoard cluster with GZIP compression FPGA acceleration","authors":"Ovidiu Plugariu, L. Petrica, Radu Pirea, R. Hobincu","doi":"10.1109/ECAI46879.2019.9042006","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042006","url":null,"abstract":"This paper presents the implementation of a heterogeneous Hadoop cluster based on the Zynq ZedBoard development platform with GZIP FPGA offloading for high-speed and energy efficient computing. We have developed the first open source FPGA GZIP compressor, designed for educational and research purposes, that can reach 1 Gbps compression speed using a 125 MHz clock. The core uses only 10% of the Zynq-7020 SoC FPGA resources and is 5.7x faster than the ARM CPU which runs at 667 MHz. We implemented an eight-node Hadoop distributed cluster and performed the Wordcount and Terasort benchmarks using software and hardware GZIP compression during the Map stage. Results show an almost 2x more energy-efficient cluster when compression is done using our GZIP FPGA core than using the software compression. The performance of the Hadoop cluster is limited by the 512 MB of RAM and the low read-write speed of the SD cards which act as hard drives for each node.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121215891","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9042172
Cristian Monea, N. Bizon
A promising bulk detection technique for detection of prohibited substances is nuclear quadrupole resonance. Its advantages over other detection techniques have determined the research of excitation methods and development of laboratory and commercial systems. This paper presents a brief overview of the use of nuclear quadrupole resonance for detecting prohibited substances, by explaining the physical principle, detailing the detection methods and presenting some laboratory and commercial equipment.
{"title":"The Use of Nuclear Quadrupole Resonance Spectroscopy for Detection of Prohibited Substances: Techniques and Equipment","authors":"Cristian Monea, N. Bizon","doi":"10.1109/ECAI46879.2019.9042172","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042172","url":null,"abstract":"A promising bulk detection technique for detection of prohibited substances is nuclear quadrupole resonance. Its advantages over other detection techniques have determined the research of excitation methods and development of laboratory and commercial systems. This paper presents a brief overview of the use of nuclear quadrupole resonance for detecting prohibited substances, by explaining the physical principle, detailing the detection methods and presenting some laboratory and commercial equipment.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132910129","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9041965
E. Kurt
This paper compares various types of electromagnetic harvesters in terms of their electrical and magnetic features. The harvesters have different flux morphologies and natural frequencies and therefore that can be a superiority for them to use in different applications from the ignition signal to the energy harvester aims for battery-free systems. It will be pointed out that the systems considered here have the power ranges of P = 14 mW and P = 32 µW for the optimal frequency regimes.
{"title":"Comparison of Electromagnetic Energy Harvesters","authors":"E. Kurt","doi":"10.1109/ECAI46879.2019.9041965","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9041965","url":null,"abstract":"This paper compares various types of electromagnetic harvesters in terms of their electrical and magnetic features. The harvesters have different flux morphologies and natural frequencies and therefore that can be a superiority for them to use in different applications from the ignition signal to the energy harvester aims for battery-free systems. It will be pointed out that the systems considered here have the power ranges of P = 14 mW and P = 32 µW for the optimal frequency regimes.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134633574","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9042091
Yashwant Singh, Jahangir Ahmad Lone, P. Singh, Z. Pólkowski, S. Tanwar, Sudhanshu Tyagi
Wireless Sensor Network (WSN) is emerging field in research, due to its applications almost in every field. Mostly WSN are used to sense a specific area or region which is used to monitor the chemical and biological changes within a region. The main component of a Wireless Sensor Network is a sensor node, which collects information and transmits it to the receiving station for further processing. Further, how to deploy these sensors in a network so that it will cover maximum area is very important. For efficient deployment in a network different strategies are used for node deployment. After deployment of nodes the question is whether they collect all the information in that region, it depends upon the coverage or how well a node senses a given region. In this paper, a brief description of deployment and coverage in WSN is presented. The various optimization algorithms used in deployment of WSN is also described. A comparison of various deployment methods based on their performance and area in which they are deployed is illustrated. Further, the various coverage methods are also compared on the basis of their efficiency and connectivity.
{"title":"Deployment and Coverage in Wireless Sensor Networks: A Perspective","authors":"Yashwant Singh, Jahangir Ahmad Lone, P. Singh, Z. Pólkowski, S. Tanwar, Sudhanshu Tyagi","doi":"10.1109/ECAI46879.2019.9042091","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042091","url":null,"abstract":"Wireless Sensor Network (WSN) is emerging field in research, due to its applications almost in every field. Mostly WSN are used to sense a specific area or region which is used to monitor the chemical and biological changes within a region. The main component of a Wireless Sensor Network is a sensor node, which collects information and transmits it to the receiving station for further processing. Further, how to deploy these sensors in a network so that it will cover maximum area is very important. For efficient deployment in a network different strategies are used for node deployment. After deployment of nodes the question is whether they collect all the information in that region, it depends upon the coverage or how well a node senses a given region. In this paper, a brief description of deployment and coverage in WSN is presented. The various optimization algorithms used in deployment of WSN is also described. A comparison of various deployment methods based on their performance and area in which they are deployed is illustrated. Further, the various coverage methods are also compared on the basis of their efficiency and connectivity.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133118019","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9042146
I. Árpád
Based on the theoretical model of the Pixel Sieve cryptographic primitive a simple application was written to test in practice the proposed method. In this paper, some preliminary test results are presented regarding the cryptographic strength of the method. For the appointed weaknesses conclusions and proposals are made to enhance the method.
{"title":"Preliminary considerations regarding the cryptographic strength of the Pixel Sieve cryptographic primitive","authors":"I. Árpád","doi":"10.1109/ECAI46879.2019.9042146","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042146","url":null,"abstract":"Based on the theoretical model of the Pixel Sieve cryptographic primitive a simple application was written to test in practice the proposed method. In this paper, some preliminary test results are presented regarding the cryptographic strength of the method. For the appointed weaknesses conclusions and proposals are made to enhance the method.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125262103","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9042039
Chaima Ghanjati, S. Mansouri, S. Tnani, J. Belhaj, H. Cherif
Control of hybrid energy systems in presence of disturbances due to renewable power generators is key issue that must be focused on in order to achieve an optimum power system. Indeed, the questions arise about the preferred configuration to use (AC coupled or DC coupled), the storage devices to adopt, and the control strategy to apply. A hybrid Energy Storage System (ESS) using batteries and supercapacitors (SC) seems to be a good device to answer the second constraint. The objective of the paper is to study the influence of the control strategy for a hybrid ESS using DC coupled configuration and the control strategy for ESS only composed of SC using AC coupled configuration.
{"title":"Hybrid systems for electrical generation with energy storage","authors":"Chaima Ghanjati, S. Mansouri, S. Tnani, J. Belhaj, H. Cherif","doi":"10.1109/ECAI46879.2019.9042039","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042039","url":null,"abstract":"Control of hybrid energy systems in presence of disturbances due to renewable power generators is key issue that must be focused on in order to achieve an optimum power system. Indeed, the questions arise about the preferred configuration to use (AC coupled or DC coupled), the storage devices to adopt, and the control strategy to apply. A hybrid Energy Storage System (ESS) using batteries and supercapacitors (SC) seems to be a good device to answer the second constraint. The objective of the paper is to study the influence of the control strategy for a hybrid ESS using DC coupled configuration and the control strategy for ESS only composed of SC using AC coupled configuration.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131506217","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9042074
Răzvan Andrei Gheorghiu, V. Stan, V. Iordache, D. Buretea, I. Costea
Traffic data gathering represents a key element in managing urban flows. Knowledge about vehicles' movements represent the basis for traffic signalling times calculation. In this regard, collection of traffic information (as detailed as possible for different categories) is done in all adaptive traffic management systems, but usually performed with static detectors (sometimes expensive ones, like video cameras with image processing software). This solution presents disadvantages like installing costs, lane closure (for some detectors), or maintenance costs. As the infotainment system inside vehicles is starting to be a standard for new vehicles, with capabilities of smartphone connection via Bluetooth, it appears that the detection of this wireless communication may provide information about the vehicle itself. In this article the authors have tested the possibility to detect Bluetooth communications inside vehicles using standard Bluetooth modules.
{"title":"Usage of Bluetooth scanners to detect urban traffic","authors":"Răzvan Andrei Gheorghiu, V. Stan, V. Iordache, D. Buretea, I. Costea","doi":"10.1109/ECAI46879.2019.9042074","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042074","url":null,"abstract":"Traffic data gathering represents a key element in managing urban flows. Knowledge about vehicles' movements represent the basis for traffic signalling times calculation. In this regard, collection of traffic information (as detailed as possible for different categories) is done in all adaptive traffic management systems, but usually performed with static detectors (sometimes expensive ones, like video cameras with image processing software). This solution presents disadvantages like installing costs, lane closure (for some detectors), or maintenance costs. As the infotainment system inside vehicles is starting to be a standard for new vehicles, with capabilities of smartphone connection via Bluetooth, it appears that the detection of this wireless communication may provide information about the vehicle itself. In this article the authors have tested the possibility to detect Bluetooth communications inside vehicles using standard Bluetooth modules.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134645932","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 : 2019-06-01DOI: 10.1109/ECAI46879.2019.9042094
Thitimanan Damrongsakmethee, V. Neagoe
This paper presents a Nonlinear Autoregressive Exogenous (NARX) model using feed-forward neural network learning to forecast the exchange rate. We have evaluated the model performances by considering the exchange rate of the Thai baht per US dollar using the historical data from the Bank of Thailand for 10 years, from 2009 to 2018. We have used the following forecasting evaluation indices: Mean Squared Error (MSE), Mean Absolute Percentage Error (MAPE) and correlation coefficient (R). We have considered the following financial inputs for the neural system that predicts the current exchange rate: gross domestic product rate (GDP), interest rate, inflation rate, balance account, trade balance and a finite set of previous exchange rates. The best result showed that the NARX neural network technique leads to a MAPE of 3.001% and a MSE of 0.006. Therefore, we can conclude that the considered predictive model using the NARX neural network technique can be used to accurately forecast the exchange rate.
{"title":"A Neural NARX Approach for Exchange Rate Forecasting","authors":"Thitimanan Damrongsakmethee, V. Neagoe","doi":"10.1109/ECAI46879.2019.9042094","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042094","url":null,"abstract":"This paper presents a Nonlinear Autoregressive Exogenous (NARX) model using feed-forward neural network learning to forecast the exchange rate. We have evaluated the model performances by considering the exchange rate of the Thai baht per US dollar using the historical data from the Bank of Thailand for 10 years, from 2009 to 2018. We have used the following forecasting evaluation indices: Mean Squared Error (MSE), Mean Absolute Percentage Error (MAPE) and correlation coefficient (R). We have considered the following financial inputs for the neural system that predicts the current exchange rate: gross domestic product rate (GDP), interest rate, inflation rate, balance account, trade balance and a finite set of previous exchange rates. The best result showed that the NARX neural network technique leads to a MAPE of 3.001% and a MSE of 0.006. Therefore, we can conclude that the considered predictive model using the NARX neural network technique can be used to accurately forecast the exchange rate.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132468584","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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