Pub Date : 2019-06-01DOI: 10.1109/ECAI46879.2019.9041982
Noor. N. Abd, Muas. H. Wali, Nasser. H. Salman
In this paper, a new design single layer rectangular patch microstrip reflectarray antenna (MRAA) with G-shape slot has been suggested for satellite communication. A 6 GHz, C-band resonance frequency is targeted in this work. Each shape is constructed using the proposed elements with variable dimensions. The selection of shapes-pattern is based on the beam-shaping of the antenna. 3-dB gain bandwidth of 32.21 dB and linear phase range 326° has been obtained for this design. Maximum reflection efficiency 97.49%. Suitable results have been acquired from simulated work for the application frequency band, which is approved by the manufactured antenna. Despite the small size of the antenna, it has acceptable results compared with the traditional parabolic antenna. Horn antenna is used to feed the reflectarray antenna. The purpose of the antenna design to obtain a wide reflection phase, lower reflection losses and high gain.
{"title":"Design and Analysis of a New G-Shape Single Layer Reflectarray Antenna","authors":"Noor. N. Abd, Muas. H. Wali, Nasser. H. Salman","doi":"10.1109/ECAI46879.2019.9041982","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9041982","url":null,"abstract":"In this paper, a new design single layer rectangular patch microstrip reflectarray antenna (MRAA) with G-shape slot has been suggested for satellite communication. A 6 GHz, C-band resonance frequency is targeted in this work. Each shape is constructed using the proposed elements with variable dimensions. The selection of shapes-pattern is based on the beam-shaping of the antenna. 3-dB gain bandwidth of 32.21 dB and linear phase range 326° has been obtained for this design. Maximum reflection efficiency 97.49%. Suitable results have been acquired from simulated work for the application frequency band, which is approved by the manufactured antenna. Despite the small size of the antenna, it has acceptable results compared with the traditional parabolic antenna. Horn antenna is used to feed the reflectarray antenna. The purpose of the antenna design to obtain a wide reflection phase, lower reflection losses and high gain.","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":"125683948","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/ECAI46879.2019.9042129
S. Simion
Design formulas for the real-to-real impedance transformer consisting of two transmission line sections are developed by analyzing the real and imaginary parts of the input impedance. The proposed design formulas may be used to obtain flat real-to-real impedance transformation, as well as wideband impedance transformers with low ripple of the real part of the input impedance.
{"title":"Design Considerations on Flat and Low Ripple Real-to-Real Two-Section Impedance Transformer","authors":"S. Simion","doi":"10.1109/ECAI46879.2019.9042129","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042129","url":null,"abstract":"Design formulas for the real-to-real impedance transformer consisting of two transmission line sections are developed by analyzing the real and imaginary parts of the input impedance. The proposed design formulas may be used to obtain flat real-to-real impedance transformation, as well as wideband impedance transformers with low ripple of the real part of the input impedance.","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":"128314565","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/ECAI46879.2019.9042138
L. Ionescu, A. Mazare, G. Serban, I. Lita, D. Vişan
The system proposed in this paper will be used to implement the Groove quantum computation search algorithm: look in a content addressable memory and find location for a data. Unlike other solutions implemented in FPGA, our solution is trying to achieve the performance of a quantum computing system on resources allocated and search speed.
{"title":"A solution to implement Grover quantum computation algorithm using the binary representation of the phase on the FPGA","authors":"L. Ionescu, A. Mazare, G. Serban, I. Lita, D. Vişan","doi":"10.1109/ECAI46879.2019.9042138","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042138","url":null,"abstract":"The system proposed in this paper will be used to implement the Groove quantum computation search algorithm: look in a content addressable memory and find location for a data. Unlike other solutions implemented in FPGA, our solution is trying to achieve the performance of a quantum computing system on resources allocated and search speed.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"1 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":"123110786","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/ECAI46879.2019.9042023
I. Tozlu, Ş. Öğüdücü, Atılberk Çelebi, Sacide Kalayci, S. Arslan
Financial analysts perform balance sheet adjustment that includes reductions, additions or movements of balances in accounts before applicants' credibility scores are calculated in the assessment of commercial loan applications. The analysts usually go through financial documents manually and it causes waste of time and labor for financial institutions. This paper presented a solution model that detects balance sheet items to be adjusted in order to reduce costs and accelerate the balance sheet adjustment process by helping financial analysts. Machine learning algorithms are the key elements for the solution model. Besides, a new feature set that can detect balance sheet items to be adjusted is proposed to be used for machine learning models. The proposed solution model and feature set were tested with experiments. The results show that Stacked Generalization model, Random Forest as meta-learner and LGBM, XGBoost and CatBoost as base learners, is the top performer model with the new feature set. The dataset used in experiments is obtained from one of the largest banks of Turkey.
{"title":"Accelerating Balance Sheet Adjustment Process in Commercial Loan Applications with Machine Learning Methods","authors":"I. Tozlu, Ş. Öğüdücü, Atılberk Çelebi, Sacide Kalayci, S. Arslan","doi":"10.1109/ECAI46879.2019.9042023","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042023","url":null,"abstract":"Financial analysts perform balance sheet adjustment that includes reductions, additions or movements of balances in accounts before applicants' credibility scores are calculated in the assessment of commercial loan applications. The analysts usually go through financial documents manually and it causes waste of time and labor for financial institutions. This paper presented a solution model that detects balance sheet items to be adjusted in order to reduce costs and accelerate the balance sheet adjustment process by helping financial analysts. Machine learning algorithms are the key elements for the solution model. Besides, a new feature set that can detect balance sheet items to be adjusted is proposed to be used for machine learning models. The proposed solution model and feature set were tested with experiments. The results show that Stacked Generalization model, Random Forest as meta-learner and LGBM, XGBoost and CatBoost as base learners, is the top performer model with the new feature set. The dataset used in experiments is obtained from one of the largest banks of Turkey.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"28 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":"131661803","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/ECAI46879.2019.9042136
Florin Diaconescu
In this paper, we focus on blind Time of Arrival (ToA) detection and prediction based on time series analysis of the measured samples of an impulse radio UWB time-hopping signal. The ToA detection is based on pattern cluster recognition in time-delay embedding space. This approach has been used for data mining in time series and propose a trade-off between accuracy and computing complexity. Also, the main goal of this study is to identify an estimation algorithm having as little information as possible regarding the received signal.
{"title":"Blind detection of Impulse Radio UWB Time-Hopping pulses using the phase space transformation","authors":"Florin Diaconescu","doi":"10.1109/ECAI46879.2019.9042136","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042136","url":null,"abstract":"In this paper, we focus on blind Time of Arrival (ToA) detection and prediction based on time series analysis of the measured samples of an impulse radio UWB time-hopping signal. The ToA detection is based on pattern cluster recognition in time-delay embedding space. This approach has been used for data mining in time series and propose a trade-off between accuracy and computing complexity. Also, the main goal of this study is to identify an estimation algorithm having as little information as possible regarding the received signal.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"50 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":"130736463","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/ECAI46879.2019.9041998
A. M. Țîțu, Alexandru Stanciu
In an era of digital transformation and disruption through artificial intelligence and machine learning, humanity still faces lack of safety, common threats being generated by human error and misconduct on daily basis. This paper outlines the impact of artificial intelligence in today's society, raises awareness on how humans may mitigate risks and create a more sustainable and reliable environment for the future. It exposes and proves how modern technology breakthroughs can unlock opportunities which will alter the face of the earth and help regain faith in humanity.
{"title":"Human and Aritificial Intelligence: the partnership that imparts hope","authors":"A. M. Țîțu, Alexandru Stanciu","doi":"10.1109/ECAI46879.2019.9041998","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9041998","url":null,"abstract":"In an era of digital transformation and disruption through artificial intelligence and machine learning, humanity still faces lack of safety, common threats being generated by human error and misconduct on daily basis. This paper outlines the impact of artificial intelligence in today's society, raises awareness on how humans may mitigate risks and create a more sustainable and reliable environment for the future. It exposes and proves how modern technology breakthroughs can unlock opportunities which will alter the face of the earth and help regain faith in humanity.","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":"134559169","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/ECAI46879.2019.9041952
I. Marcu, G. Suciu, C. Balaceanu, A. Banaru
Agriculture is the most traditional activity over time. Since the beginning of it, agriculture has suffered many changes to improve productivity and quality of crops. Some of the first significant improvements have been remarked when machines and new tools such as irrigation systems, harvest machines, farmland clearing machines were introduced in the primitive agriculture, where these activities were performed mainly by humans and animals. Over time, agriculture has been affected by weather disasters (such as storms or extreme temperatures) and by natural disasters (such as pests and plant diseases). Thus, the next step in the development of the agriculture domain was to propose the Internet of Things (IoT) solutions for monitoring of many parameters for better precision agriculture. Such a system would provide useful information on plant growth, crops' diseases, and soil properties that are a benefit for crops. This paper describes a possible solution for a more reliable IoT-based system using Libelium for Smart Agriculture to monitor the parameters that have a direct impact on crops. Moreover, the monitoring system aims to manage agricultural issues related to irrigations and analyses the effect of the measured parameters on agriculture, helping the farmers to have healthy crops.
农业一直是最传统的活动。从一开始，农业就经历了许多变化，以提高生产力和作物质量。当机器和新工具，如灌溉系统、收割机、农田清理机被引入原始农业时，一些最初的重大改进已经被注意到，在原始农业中，这些活动主要是由人和动物来完成的。随着时间的推移，农业受到天气灾害(如风暴或极端温度)和自然灾害(如病虫害)的影响。因此，农业领域发展的下一步是提出物联网(IoT)解决方案，用于监测许多参数，以实现更好的精准农业。这样的系统将提供有关植物生长、作物病害和土壤特性的有用信息，对作物有益。本文描述了一个更可靠的基于物联网的系统的可能解决方案，该系统使用Libelium for Smart Agriculture来监测对作物有直接影响的参数。此外，监测系统旨在管理与灌溉有关的农业问题，并分析测量参数对农业的影响，帮助农民拥有健康的作物。
{"title":"IoT based System for Smart Agriculture","authors":"I. Marcu, G. Suciu, C. Balaceanu, A. Banaru","doi":"10.1109/ECAI46879.2019.9041952","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9041952","url":null,"abstract":"Agriculture is the most traditional activity over time. Since the beginning of it, agriculture has suffered many changes to improve productivity and quality of crops. Some of the first significant improvements have been remarked when machines and new tools such as irrigation systems, harvest machines, farmland clearing machines were introduced in the primitive agriculture, where these activities were performed mainly by humans and animals. Over time, agriculture has been affected by weather disasters (such as storms or extreme temperatures) and by natural disasters (such as pests and plant diseases). Thus, the next step in the development of the agriculture domain was to propose the Internet of Things (IoT) solutions for monitoring of many parameters for better precision agriculture. Such a system would provide useful information on plant growth, crops' diseases, and soil properties that are a benefit for crops. This paper describes a possible solution for a more reliable IoT-based system using Libelium for Smart Agriculture to monitor the parameters that have a direct impact on crops. Moreover, the monitoring system aims to manage agricultural issues related to irrigations and analyses the effect of the measured parameters on agriculture, helping the farmers to have healthy crops.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"47 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":"129626445","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/ECAI46879.2019.9042155
S. M. Algayar, N. Goga, Imad Ali Hassoon, M. Almalchy
The use of cutting-edge technologies such as the smartphones, smart bracelets, social media, and m-Health, and also mobile applications has begun to increase in medicinal services areas, due to factors such as the low cost, usability, mobility, multiple uses, and being reliable. This encouraged health institutions to increase their investment in healthcare technologies. This article presents the implementation of an integrated architecture for a mobile healthcare system, which is called Medical social media system. This system integrates wearable sensors, smartphones, and oriented social media, so as to enhance the healthcare services in the Iraqi environment. The system can be used by smartphones, running on the Android system and smart-watches. In addition, the website can be utilized by devices like desktops, notebooks, tablets, and smartphones which can be utilized maximally for data collection and analysis via user-system interactivity, utilizes wearable sensors, smartphones that automatically collect life activities information, such as exercises information like heart rate, the breathing rate, and body temperature. In order to provide healthcare services to patients, and medical workers in the Iraqi healthcare sector, the infrastructure still needs to significantly develop, and medical information needs to be shared amidst medical workers and to individuals in general. Moreover, it has been designed to store collected data in a database and to be able to produce reports to users.
{"title":"Medical Social Media Systems - Implementation of the Android Application","authors":"S. M. Algayar, N. Goga, Imad Ali Hassoon, M. Almalchy","doi":"10.1109/ECAI46879.2019.9042155","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042155","url":null,"abstract":"The use of cutting-edge technologies such as the smartphones, smart bracelets, social media, and m-Health, and also mobile applications has begun to increase in medicinal services areas, due to factors such as the low cost, usability, mobility, multiple uses, and being reliable. This encouraged health institutions to increase their investment in healthcare technologies. This article presents the implementation of an integrated architecture for a mobile healthcare system, which is called Medical social media system. This system integrates wearable sensors, smartphones, and oriented social media, so as to enhance the healthcare services in the Iraqi environment. The system can be used by smartphones, running on the Android system and smart-watches. In addition, the website can be utilized by devices like desktops, notebooks, tablets, and smartphones which can be utilized maximally for data collection and analysis via user-system interactivity, utilizes wearable sensors, smartphones that automatically collect life activities information, such as exercises information like heart rate, the breathing rate, and body temperature. In order to provide healthcare services to patients, and medical workers in the Iraqi healthcare sector, the infrastructure still needs to significantly develop, and medical information needs to be shared amidst medical workers and to individuals in general. Moreover, it has been designed to store collected data in a database and to be able to produce reports to users.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"2 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":"132785354","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/ECAI46879.2019.9042032
Claudiu Langa, S. Tudor, A. Lazar, E. Soare
The present paper aims at presenting a comparative study of the adult education system in four different countries (Romania, Germany, Greece, Norway), based on the analysis of the national educational, legislative and curricular policy documents. The paper gives a systemic analysis of the framework on adult training, and the implementation methods specific to each country, focusing on highlighting their experience in adult education and promoting good practice models.
{"title":"A Comparative Analisis of Staff Training Programmes","authors":"Claudiu Langa, S. Tudor, A. Lazar, E. Soare","doi":"10.1109/ECAI46879.2019.9042032","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042032","url":null,"abstract":"The present paper aims at presenting a comparative study of the adult education system in four different countries (Romania, Germany, Greece, Norway), based on the analysis of the national educational, legislative and curricular policy documents. The paper gives a systemic analysis of the framework on adult training, and the implementation methods specific to each country, focusing on highlighting their experience in adult education and promoting good practice models.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"63 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":"133132312","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/ECAI46879.2019.9042057
Miruna Elena Trufasila, P. Anghelescu
This work relates to the implementation of an effective face detection and recognition method that can be used as a module in person identification depending on features. The algorithm used in the biometric system is devised into two steps. The first step, called facial detection, is based on Haar cascade technique - composed of sets of Haar-type features. The second step, called facial recognition, is based on principal component analyses (PCA) algorithm. The recognition process is accomplished by converting the current image into feature vector using PCA technique and then the face is recognized by comparing its characteristics with the already stored persons. The complete application was implemented in C# programming language and the results were achieved using the wireless IP camera of type SM6203.
{"title":"Biometric System based on Facial Recognition","authors":"Miruna Elena Trufasila, P. Anghelescu","doi":"10.1109/ECAI46879.2019.9042057","DOIUrl":"https://doi.org/10.1109/ECAI46879.2019.9042057","url":null,"abstract":"This work relates to the implementation of an effective face detection and recognition method that can be used as a module in person identification depending on features. The algorithm used in the biometric system is devised into two steps. The first step, called facial detection, is based on Haar cascade technique - composed of sets of Haar-type features. The second step, called facial recognition, is based on principal component analyses (PCA) algorithm. The recognition process is accomplished by converting the current image into feature vector using PCA technique and then the face is recognized by comparing its characteristics with the already stored persons. The complete application was implemented in C# programming language and the results were achieved using the wireless IP camera of type SM6203.","PeriodicalId":285780,"journal":{"name":"2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"31 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":"114252741","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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