2019 4th International Conference on Smart and Sustainable Technologies (SpliTech)最新文献_第10页

A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost 基于XGBoost学习的模糊规则的分布式雾节点评估模型

2019 4th International Conference on Smart and Sustainable Technologies (SpliTech) Pub Date : 2019-06-01 DOI: 10.23919/SpliTech.2019.8783016

A. Shahraki, Marius Geitle, Øystein Haugen

{"title":"A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost","authors":"A. Shahraki, Marius Geitle, Øystein Haugen","doi":"10.23919/SpliTech.2019.8783016","DOIUrl":"https://doi.org/10.23919/SpliTech.2019.8783016","url":null,"abstract":"The Internet of Things (IoT) will connect more than 50 billion heterogenous devices around the world by 2020. As an Ultra Dense Network (UDN), which needs high resources to be established, different technologies are emerging to improve the efficiency of IoT. Fog is a new phenomenon that uses close powerful nodes to help end users achieve reduced delays, optimize resource consumption, and improve the quality of service. In techniques such as routing, clustering, caching, etc., nodes need to select pairing nodes or the next hop nodes which are used to help nodes transfer or process data. In this paper, a new mathematical fuzzy-based method is proposed to evaluate the suitability of a node’s neighbors. Nodes broadcast their information to inform neighbors about their situations, and each node compares itself to its neighbors, broadcasting a score that shows its tendency to be a pairing node. The proposed method is application-agnostic and can be used in different techniques regarding parameters that are being evaluated. A fuzzy method is used to integrate the parameters and calculate the score. As a new attitude, we use the XGBoost algorithm to extract the fuzzy rules from examples. After receiving the score, another fuzzy method is used to give other eligible neighbors the chance to be the next hop due to support network load balancing. Riverbed Modeler, MATLAB and Python are used to evaluate the node assessment model.","PeriodicalId":223539,"journal":{"name":"2019 4th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"128 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":"134404592","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: 3

An Innovative Smart System based on IoT Technologies for Fire and Danger Situations 基于物联网技术的火灾和危险情况创新智能系统

2019 4th International Conference on Smart and Sustainable Technologies (SpliTech) Pub Date : 2019-06-01 DOI: 10.23919/SpliTech.2019.8783059

G. Cavalera, Roberto Conte Rosito, Vincenzo Lacasa, M. Mongiello, Francesco Nocera, L. Patrono, Ilaria Sergi

引用次数: 8

PmA: a solution for people mobility monitoring and analysis based on WiFi probes PmA:基于WiFi探针的人员移动监控与分析解决方案

2019 4th International Conference on Smart and Sustainable Technologies (SpliTech) Pub Date : 2019-06-01 DOI: 10.23919/SpliTech.2019.8783040

Marco Uras, Raimondo Cossu, L. Atzori

引用次数: 14

Transcranial Direct Current Stimulation (tDCS) -The Effectiveness and Technical Parameters of The Method 经颅直流电刺激(tDCS)方法的有效性和技术参数

2019 4th International Conference on Smart and Sustainable Technologies (SpliTech) Pub Date : 2019-06-01 DOI: 10.23919/SpliTech.2019.8783144

Joanna Budzisz, M. Leśniak

引用次数: 0

IoT-oriented Waste Management System based on new RFID-Sensing Devices and Cloud Technologies 基于新型rfid传感设备和云技术的物联网废弃物管理系统

2019 4th International Conference on Smart and Sustainable Technologies (SpliTech) Pub Date : 2019-06-01 DOI: 10.23919/SpliTech.2019.8783097

L. Catarinucci, R. Colella, Stefano Irno Consalvo, L. Patrono, Alfredo Salvatore, Ilaria Sergi

引用次数: 9

Biowaste management and potential for biomethane production through public involvement: A case study City of Zagreb 通过公众参与的生物废物管理和生物甲烷生产潜力:萨格勒布市案例研究

2019 4th International Conference on Smart and Sustainable Technologies (SpliTech) Pub Date : 2019-06-01 DOI: 10.23919/SpliTech.2019.8783079

N. Voća, Bojan Ribić

{"title":"Biowaste management and potential for biomethane production through public involvement: A case study City of Zagreb","authors":"N. Voća, Bojan Ribić","doi":"10.23919/SpliTech.2019.8783079","DOIUrl":"https://doi.org/10.23919/SpliTech.2019.8783079","url":null,"abstract":"The improvement of waste management systems is one of the main challenges for most EU member states, and it should be done in line with current legal obligations set in different EU directives. Implementation of sustainable waste management in Zagreb should be performed through the introduction of source-separation of waste, and its utilization. One of the aspects is usage of biowaste as a feedstock for biomethane production. Produced biomethane could be distributed by dedicated network of filling stations within City area. The main objective of paper is presentation of environmental and economic benefits of proposed approach and citizen’s involvement in separate collection of waste from households. In this sense, a survey has been conducted among residents in order to assess their behaviours regarding the separate collection of waste fractions. The main motivation is the reduction of waste fee, creation of new jobs, stimulation of local economy and biofuel production. This paper presented the fact that paper/cardboard, glass and packaging are most suitable waste fractions for separate collection, while biowaste is most demanding due to odours issue and lack of space. Finally, large majority of the citizens are willing and motivated to participate in the process of waste separation.","PeriodicalId":223539,"journal":{"name":"2019 4th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"14 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":"132186838","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

Signal Feature Recognition in Time-Frequency Domain Using Edge Detection Algorithms 基于边缘检测算法的时频信号特征识别

2019 4th International Conference on Smart and Sustainable Technologies (SpliTech) Pub Date : 2019-06-01 DOI: 10.23919/SpliTech.2019.8783198

Zeljka Milanovic, N. Saulig, I. Marasović

{"title":"Signal Feature Recognition in Time-Frequency Domain Using Edge Detection Algorithms","authors":"Zeljka Milanovic, N. Saulig, I. Marasović","doi":"10.23919/SpliTech.2019.8783198","DOIUrl":"https://doi.org/10.23919/SpliTech.2019.8783198","url":null,"abstract":"We propose a method of discerning components in multicomponent, stationary and nonstationary signals by application of edge detection techniques to the time-frequency (TF) plane. The approach is based upon the use of a robust to noise computer vision edge detection algorithms, which can be used to precisely mark the position of the component in the TF plane independent of its length, frequency or shape. The results show the proposed method correctly detects positions of stationary signals with low error even in signals heavily corrupted by Additive White Gaussian Noise (AWGN) and other color noise environments, tested for Signal-to-Noise Ratio (SNR)of OdB and 6dB. Positions of nonstationary components in the TF plane are detected with error of less than 6%. Results with synthetic signals and a real-life signal (bat-echolocation) indicate that the method can be used in identifying components in noisy environments using a computationally less costly method that outperforms previously proposed adaptive methods by offering faster computational speed and smaller processor workload. Closer to optimal detection can be achieved with a combination of edge detection operators and thresholded image segmentation procedures.","PeriodicalId":223539,"journal":{"name":"2019 4th International Conference on Smart and Sustainable Technologies (SpliTech)","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":"114190931","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: 3

High order RBF-FD approximations with application to a scattering problem 高阶RBF-FD近似及其在散射问题中的应用

2019 4th International Conference on Smart and Sustainable Technologies (SpliTech) Pub Date : 2019-06-01 DOI: 10.23919/SpliTech.2019.8782918

J. Slak, B. Stojanovic, G. Kosec

引用次数: 2

Stacked Generalization Concept for Electrical Load Prediction 电力负荷预测的堆叠概化概念

2019 4th International Conference on Smart and Sustainable Technologies (SpliTech) Pub Date : 2019-06-01 DOI: 10.23919/SpliTech.2019.8783129

Rania Alhalaseh, Khaleel Alhalaseh

{"title":"Stacked Generalization Concept for Electrical Load Prediction","authors":"Rania Alhalaseh, Khaleel Alhalaseh","doi":"10.23919/SpliTech.2019.8783129","DOIUrl":"https://doi.org/10.23919/SpliTech.2019.8783129","url":null,"abstract":"Short-term power load forecasting has been widely investigated, as it provides crucial and on-demand information for power planning and operation. In literature, different statistical and mathematical methods along with machine learning and data-driven based approaches have been employed and considered for this matter. In terms of the latter approaches, various benchmark models are found in literature for electrical load forecasting, such as support vector regression (SVR) and artificial neural network (ANN). Further steps has been already taken by combining such models in the form of ensemble learning schemes, in particular bagging and AdaBoost ensembles. Different from other methods, this paper investigates the stacked generalization ensemble concept where the electrical load has been analyzed in a time series fashion. The results have been compared with the individual underlying benchmark models, which have shown that the ensemble scheme outperforms the individual models. Furthermore, the introduced scheme is rather robust against error propagation, as the estimated load at a certain future time slot is also utilized to estimate further slots.","PeriodicalId":223539,"journal":{"name":"2019 4th International Conference on Smart and Sustainable Technologies (SpliTech)","volume":"60 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":"130996811","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

Optimal power stationary policies for synchronous queued RFID networks 同步排队RFID网络的最优功率稳定策略

2019 4th International Conference on Smart and Sustainable Technologies (SpliTech) Pub Date : 2019-06-01 DOI: 10.23919/SpliTech.2019.8783080

J. Vales-Alonso, P. López-Matencio, J. Alcaraz

{"title":"Optimal power stationary policies for synchronous queued RFID networks","authors":"J. Vales-Alonso, P. López-Matencio, J. Alcaraz","doi":"10.23919/SpliTech.2019.8783080","DOIUrl":"https://doi.org/10.23919/SpliTech.2019.8783080","url":null,"abstract":"RFID networks are subject to interferences caused by simultaneous readers’ operation, and different arbitration mechanisms have been proposed to deal with this issue. If the network is synchronized, it is possible to implement schedulers which decide, at each particular timeslot, which set of readers operates, thus reducing or eliminating interferences. In this paper, we analyze the performance of an optimal scheduler, which controls the transmission power in the RFID cells using a policy which is randomized and stationary, and which aims at maximizing the joint incoming traffic for a given set of readers subject to attain a stable network operation. We have studied two families of policies: (i) the on/off power policy where all active readers operate with the same transmission power, and (ii) an independent power policy where the transmission powers can be different. Additionally, we have compared the performance against a purely on/off policy where readers use a nominal transmission power of 1 W. Results highlight that on/off power policies are only marginally worse than independent power policies, despite the higher flexibility of the latter ones. Thus, a network designer may rely on/off policies. Finally, we have also shown that arbitration mechanisms between readers are required even for networks operating with the DRE masking mode.","PeriodicalId":223539,"journal":{"name":"2019 4th International Conference on Smart and Sustainable Technologies (SpliTech)","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":"125855795","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