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IEEE EUROCON 2019 -18th International Conference on Smart Technologies最新文献

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Direct Power Flow in Distribution Networks with Distributed Renewable Energy Sources Integration 分布式可再生能源集成配电网的直接潮流
IEEE EUROCON 2019 -18th International Conference on Smart Technologies Pub Date : 2019-07-01 DOI: 10.1109/EUROCON.2019.8861626
Haixiao Li, Lin Zhou, Hao Wu
{"title":"Direct Power Flow in Distribution Networks with Distributed Renewable Energy Sources Integration","authors":"Haixiao Li, Lin Zhou, Hao Wu","doi":"10.1109/EUROCON.2019.8861626","DOIUrl":"https://doi.org/10.1109/EUROCON.2019.8861626","url":null,"abstract":"The management of the distribution networks (DNs) encounters serious challenges today because of the high penetration of distributed renewable energy sources (DRESs). Local control will be developed for voltage-var control due to the fast responding speed in DRESs. We consider the above issue and propose a novel direct power flow calculation method for DNs with DRESs integration. We give the approximate calculation premises that guarantee the uniqueness and feasibility of the solution. The influences of the system parameters on performance of the proposed method are discussed. The simulation analysis indicated that the proposed method could be well applied to the analysis of DNs containing DRESs.","PeriodicalId":232097,"journal":{"name":"IEEE EUROCON 2019 -18th International Conference on Smart Technologies","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114533037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Measurement of rectifying diode impedance and efficiency for energy harvesting applications 用于能量收集应用的整流二极管阻抗和效率的测量
IEEE EUROCON 2019 -18th International Conference on Smart Technologies Pub Date : 2019-07-01 DOI: 10.1109/EUROCON.2019.8861582
Branka Milosevic, M. Radovanovic, B. Jokanović
{"title":"Measurement of rectifying diode impedance and efficiency for energy harvesting applications","authors":"Branka Milosevic, M. Radovanovic, B. Jokanović","doi":"10.1109/EUROCON.2019.8861582","DOIUrl":"https://doi.org/10.1109/EUROCON.2019.8861582","url":null,"abstract":"In this paper we present a new procedure for wide-band measurement of the zero-bias Schottky diode impedance and rectified DC voltage. Measurement is performed with MS4647A VectorStar VNA (Vector Network Analyzer) and Rigol DS1054z oscilloscope in the frequency range 0.5 - 5 GHz. The RF input power is varied from -25 to 5 dBm and several different values of load resistance is used. Since measurement required definite power levels at the diode ports, both S-parameter calibration and nonlinear power calibration of VNA were applied. S-parameter calibration was performed at three different reference planes using SOLT (short open load thru) and LRL (line reflect line) calibration algorithms. Measured complex conjugate values of the diode impedance are compared with the optimum diode input impedance that are obtained via Harmonic Balance simulation.","PeriodicalId":232097,"journal":{"name":"IEEE EUROCON 2019 -18th International Conference on Smart Technologies","volume":"342 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115889531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Innovative GPS Data Anomaly Detection Algorithm inspired by QRS Complex Detection Algorithms in ECG Signals 基于心电信号QRS复合检测算法的GPS数据异常检测新算法
IEEE EUROCON 2019 -18th International Conference on Smart Technologies Pub Date : 2019-07-01 DOI: 10.1109/EUROCON.2019.8861619
E. Žunić, Sead Delalic, K. Hodzic, Zlatan Tucakovic
{"title":"Innovative GPS Data Anomaly Detection Algorithm inspired by QRS Complex Detection Algorithms in ECG Signals","authors":"E. Žunić, Sead Delalic, K. Hodzic, Zlatan Tucakovic","doi":"10.1109/EUROCON.2019.8861619","DOIUrl":"https://doi.org/10.1109/EUROCON.2019.8861619","url":null,"abstract":"Many companies own a significant number of vehicles. To ensure the undisturbed company workflow, all vehicles have to be tracked. The standard way of vehicle tracking is via a GPS device. Sometimes, GPS devices are sending fallacious data to the server. That data can cause significant errors in daily reports or in the vehicle route preview. This paper describes an efficient technique for finding different types of anomalies in GPS data. The paper describes a connection between finding a QRS complex in ECG signal and anomalies in GPS data. The algorithm is implemented and used as a part of the GPS tracking system that is used by distribution companies in Bosnia and Herzegovina.","PeriodicalId":232097,"journal":{"name":"IEEE EUROCON 2019 -18th International Conference on Smart Technologies","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124780730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
Spectral analysis of ocean waves for determination of fundamental energy parameters 测定基本能量参数用海浪谱分析
IEEE EUROCON 2019 -18th International Conference on Smart Technologies Pub Date : 2019-07-01 DOI: 10.1109/EUROCON.2019.8861877
B. Vujkov, B. Dumnic, T. Grbić, B. Popadic, Nikola Vukajlovic, S. Medić
{"title":"Spectral analysis of ocean waves for determination of fundamental energy parameters","authors":"B. Vujkov, B. Dumnic, T. Grbić, B. Popadic, Nikola Vukajlovic, S. Medić","doi":"10.1109/EUROCON.2019.8861877","DOIUrl":"https://doi.org/10.1109/EUROCON.2019.8861877","url":null,"abstract":"Global demand for electricity is constantly increasing, while the availability of conventional energy sources is becoming less every day. Renewable energy sources are imposed as one of the solutions to this problem. Wind and solar power plants are widespread and deeply studied. However, much greater energy potential is hidden in the ocean and sea energy. It is theoretically confirmed that the current global demand for electricity can completely be covered by the utilization of this type of renewable energy. Among all types of ocean energy, wave energy is one of the most promising ways for conversion into electricity. Numerous patents for wave energy conversion systems have been registered in recent years. However, many efforts are still being made in order to improve the durability, reliability and efficiency of these systems. Knowledge of the wave parameters for wave energy conversion systems is crucial. In addition, prediction of wave height and its power can be used for control algorithms and thus increase efficiency or protect the system during extreme conditions. The wave represents a stochastic random process, which is usually analyzed statistically. In this paper, a spectral analysis of the measured sea waves is performed. An algorithm for determination of the most important wave parameters is developed in MATLAB working environment. The obtained results and their analysis are represented in the paper.","PeriodicalId":232097,"journal":{"name":"IEEE EUROCON 2019 -18th International Conference on Smart Technologies","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129718661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Secure Communication with Non-Causal Side Information in the Low-SNR Regime 低信噪比条件下非因果侧信息的安全通信
IEEE EUROCON 2019 -18th International Conference on Smart Technologies Pub Date : 2019-07-01 DOI: 10.1109/EUROCON.2019.8861746
Mustafa El-Halabi, M. Ghantous
{"title":"Secure Communication with Non-Causal Side Information in the Low-SNR Regime","authors":"Mustafa El-Halabi, M. Ghantous","doi":"10.1109/EUROCON.2019.8861746","DOIUrl":"https://doi.org/10.1109/EUROCON.2019.8861746","url":null,"abstract":"The concept of secrecy capacity per unit cost was introduced in the study of cost-efficient secure wide-band communications. It has been established that for a degraded memoryless wiretap channel, a structured orthogonal code achieves the secrecy capacity per unit cost. In this paper, we consider a memoryless wiretap channel with channel state, where the state is available non-causally to the transmitter as side information. Under the assumption of the existence of a zero cost input “0”, it is shown that a lower bound on the secrecy capacity per unit cost for such a channel can be achieved using a nested orthogonal random binning coding scheme.","PeriodicalId":232097,"journal":{"name":"IEEE EUROCON 2019 -18th International Conference on Smart Technologies","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128238972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Design of Floating-Point Arithmetic Unit for FPGA with Simulink® 基于Simulink的FPGA浮点运算单元设计
IEEE EUROCON 2019 -18th International Conference on Smart Technologies Pub Date : 2019-07-01 DOI: 10.1109/EUROCON.2019.8861860
J. Kralev
{"title":"Design of Floating-Point Arithmetic Unit for FPGA with Simulink®","authors":"J. Kralev","doi":"10.1109/EUROCON.2019.8861860","DOIUrl":"https://doi.org/10.1109/EUROCON.2019.8861860","url":null,"abstract":"Much of the numerical computation algorithms are dependent on the capability to perform arithmetic operations with real numbers. In digital electronics, the most common approximation of the Reals is the floating-precision format. The novelty of the paper is that the design is entirely developed as two Simulink® block diagrams for summation, subtraction and multiplication of single precision floating-point numbers, according to the IEEE 754 Standard. From these models a VHDL code is generated with the help of Simulink HDL Coder. Dataflow models are validated by simulation in Simulink®. For the experimental validation of the designed floating-point arithmetic units they are embedded in a FPGA evaluation platform. The arithmetic operations are executed with a minimum delay or within a single cycle of the respective clock. Required chip area is smaller in comparison to other open source solutions.","PeriodicalId":232097,"journal":{"name":"IEEE EUROCON 2019 -18th International Conference on Smart Technologies","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128478194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
A hybrid methodology for the day-ahead PV forecasting exploiting a Clear Sky Model or Artificial Neural Networks 利用晴空模型或人工神经网络进行日前PV预测的混合方法
IEEE EUROCON 2019 -18th International Conference on Smart Technologies Pub Date : 2019-07-01 DOI: 10.1109/EUROCON.2019.8861551
G. Mosaico, M. Saviozzi
{"title":"A hybrid methodology for the day-ahead PV forecasting exploiting a Clear Sky Model or Artificial Neural Networks","authors":"G. Mosaico, M. Saviozzi","doi":"10.1109/EUROCON.2019.8861551","DOIUrl":"https://doi.org/10.1109/EUROCON.2019.8861551","url":null,"abstract":"PhotoVoltaic (PV) plants can bring a positive impact on the sustainability of electric grids. Its variability and uncertainty, however, leads to challenging technical problems related to the efficient and secure operations of power systems. In this paper, a novel hybrid methodology for the day-ahead PV power forecasting is proposed. The methodology is able to use a Clear Sky Model (CSM) or an Artificial Neural Network (ANN), according to the day-ahead weather forecasting. Selection among these two methods is performed by a threshold on the Cloud Cover Index (CCI) determined by linear regression. The method has been tested and validated on a real PV plant.","PeriodicalId":232097,"journal":{"name":"IEEE EUROCON 2019 -18th International Conference on Smart Technologies","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130054839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Multi-level Generalized Clustering Approach and Algorithm for Anomaly Detection in Internal Banking Payment Systems 银行内部支付系统异常检测的多级广义聚类方法及算法
IEEE EUROCON 2019 -18th International Conference on Smart Technologies Pub Date : 2019-07-01 DOI: 10.1109/EUROCON.2019.8861903
E. Žunić, Zlatan Tucakovic, K. Hodzic, Sead Delalic
{"title":"Multi-level Generalized Clustering Approach and Algorithm for Anomaly Detection in Internal Banking Payment Systems","authors":"E. Žunić, Zlatan Tucakovic, K. Hodzic, Sead Delalic","doi":"10.1109/EUROCON.2019.8861903","DOIUrl":"https://doi.org/10.1109/EUROCON.2019.8861903","url":null,"abstract":"In real datasets often occur cases, where variable or multiple variables have unusual values. These cases are known as anomalies or outliers. For any analysis, it is essential to detect them, because they can bias the analysis. In this paper, a robust anomaly detection method is presented, and it is based on median, rather then on mean value. The method is explained, as well as its parameters and the way how they affect the results. The method is then implemented, and used on Internal Banking Payment Systems. Analysis is given and results are presented.","PeriodicalId":232097,"journal":{"name":"IEEE EUROCON 2019 -18th International Conference on Smart Technologies","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122628811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
CARSO: Clustering Algorithm for Road Surveillance and Overtaking CARSO:道路监控与超车的聚类算法
IEEE EUROCON 2019 -18th International Conference on Smart Technologies Pub Date : 2019-07-01 DOI: 10.1109/EUROCON.2019.8861863
Hasanain Alabbas, Árpád Huszák
{"title":"CARSO: Clustering Algorithm for Road Surveillance and Overtaking","authors":"Hasanain Alabbas, Árpád Huszák","doi":"10.1109/EUROCON.2019.8861863","DOIUrl":"https://doi.org/10.1109/EUROCON.2019.8861863","url":null,"abstract":"Research and development on video streaming over vehicular ad hoc networks (VANETs) have expanded rapidly in the last few years. High-quality video streaming in the vehicular environment is very challenging due to the high nodes mobility, frequently changed network topology as well as video streaming is a high-bandwidth-demanded service and causes network congestion when different vehicles are streaming it in the vehicular network at the same time. Clustering algorithms are effective techniques to reduce network congestion by organizing the work of the network nodes. This paper proposes a clustering algorithm for road surveillance and overtaking (CARSO) which takes in the consideration the vision area, direction, and distance parameters to increase the scalability and provide the video streaming service to the highest number of vehicles. We compared our proposed algorithm with another clustering algorithm in the term of scalability and stability to prove the effectiveness of CARSO.","PeriodicalId":232097,"journal":{"name":"IEEE EUROCON 2019 -18th International Conference on Smart Technologies","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127439805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Skin lesion segmentation with deep learning 基于深度学习的皮肤病变分割
IEEE EUROCON 2019 -18th International Conference on Smart Technologies Pub Date : 2019-07-01 DOI: 10.1109/EUROCON.2019.8861636
Jane Lameski, Andrej Jovanov, Eftim Zdravevski, Petre Lameski, S. Gievska
{"title":"Skin lesion segmentation with deep learning","authors":"Jane Lameski, Andrej Jovanov, Eftim Zdravevski, Petre Lameski, S. Gievska","doi":"10.1109/EUROCON.2019.8861636","DOIUrl":"https://doi.org/10.1109/EUROCON.2019.8861636","url":null,"abstract":"Skin lesion segmentation is an important process in skin diagnostics because it improves manual and computeraided diagnostics by focusing the medical personnel on specific parts of the skin. Image segmentation is a common task in computer vision that partitions a digital image into multiple segments, for which deep neural networks have been proven to be reliable. In this paper, we investigate the applicability of deep learning methods for skin lesion segmentation evaluating three architectures: a pre-trained VGG16 encoder combined with SegNet decoder, TernausNet, and DeepLabV3+. The data set consists of images with RGB skin lesions and the ground truth of their segmentation. All the image sizes vary from hundreds to thousands of pixels per dimension. We evaluated the approaches with the Jaccard index and the computational efficiency of the training. The results show that the three deep neural network architectures achieve Jaccard Index scores of above 0.82, while the DeeplabV3+ outperforms the other approaches with a score of 0.876. The results are encouraging and can lead to fully-fledged automated approaches for skin lesion segmentation.","PeriodicalId":232097,"journal":{"name":"IEEE EUROCON 2019 -18th International Conference on Smart Technologies","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122238868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 16
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