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2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)最新文献

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A fast and effective algorithm for influence maximization in large-scale independent cascade networks 大型独立级联网络中影响最大化的快速有效算法
2020 7th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2020-06-29 DOI: 10.1109/CoDIT49905.2020.9263914
Paolo Scarabaggio, Raffaele Carli, M. Dotoli
{"title":"A fast and effective algorithm for influence maximization in large-scale independent cascade networks","authors":"Paolo Scarabaggio, Raffaele Carli, M. Dotoli","doi":"10.1109/CoDIT49905.2020.9263914","DOIUrl":"https://doi.org/10.1109/CoDIT49905.2020.9263914","url":null,"abstract":"A characteristic of social networks is the ability to quickly spread information between a large group of people. The widespread use of online social networks (e.g., Facebook) increases the interest of researchers on how influence propagates through these networks. One of the most important research issues in this field is the so-called influence maximization problem, which essentially consists in selecting the most influential users (i.e., those who are able to maximize the spread of influence through the social network). Due to its practical importance in various applications (e.g., viral marketing), such a problem has been studied in several variants. Nevertheless, the current open challenge in the resolution of the influence maximization problem still concerns achieving a good trade-off between accuracy and computational time. In this context, based on independent cascade modeling of social networks, we propose a novel low-complexity and highly accurate algorithm for selecting an initial group of nodes to maximize the spread of influence in large-scale networks. In particular, the key idea consists in iteratively removing the overlap of influence spread induced by different seed nodes. The application to several numerical experiments based on real datasets proves that the proposed algorithm effectively finds practical near-optimal solutions of the addressed influence maximization problem in a computationally efficient fashion. Finally, the comparison with the state of the art algorithms demonstrates that in large scale scenarios the proposed approach shows higher performance in terms of influence spread and running time.","PeriodicalId":355781,"journal":{"name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134157877","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
Low cost UGV platform for autonomous 2D navigation and map-building based on a single sensory input 基于单一感官输入的自主2D导航和地图构建的低成本UGV平台
2020 7th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2020-06-29 DOI: 10.1109/CoDIT49905.2020.9263975
Edvin Teskeredžić, Amila Akagic
{"title":"Low cost UGV platform for autonomous 2D navigation and map-building based on a single sensory input","authors":"Edvin Teskeredžić, Amila Akagic","doi":"10.1109/CoDIT49905.2020.9263975","DOIUrl":"https://doi.org/10.1109/CoDIT49905.2020.9263975","url":null,"abstract":"This paper presents a low-cost, single sensor autonomous mobile robot. The proposed system is able to map an indoor environment, while at the same time localizing itself within it, and solving the SLAM (Simultaneous Localization and Mapping) problem using data gathered from the sensor. It is able to navigate the environment, choosing safe paths for exploration based on the data acquired by mapping and localization. The system is based on commercially available, in-expensive hardware, while the software is developed with open-source ROS (Robot Operating System) packages. The ability for autonomous navigation of the proposed system has been verified through real-world experiments. The system offers a simple to build platform, which can easily be extended.","PeriodicalId":355781,"journal":{"name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"134 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131545079","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
High-Level Analysis of Flux Measurements in Tokamak Machines for Clustering and Unsupervised Feature Selection 用于聚类和无监督特征选择的托卡马克机器通量测量的高级分析
2020 7th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2020-06-29 DOI: 10.1109/CoDIT49905.2020.9263861
A. Spinosa, M. Iafrati, G. Mazzitelli, P. Arena, A. Buscarino, L. Fortuna
{"title":"High-Level Analysis of Flux Measurements in Tokamak Machines for Clustering and Unsupervised Feature Selection","authors":"A. Spinosa, M. Iafrati, G. Mazzitelli, P. Arena, A. Buscarino, L. Fortuna","doi":"10.1109/CoDIT49905.2020.9263861","DOIUrl":"https://doi.org/10.1109/CoDIT49905.2020.9263861","url":null,"abstract":"Plasma physics is an example of research field where many measurements carried out at very specific working conditions need to be collected and processed. By looking at the properties of these data, it can be possible to explore their hidden features in order to solve challenging problems that usually require high computational efforts, such as the tomographic reconstruction. In this paper, preliminary but nontrivial analyses of flux measurements produced in a Tokamak machine are shown and discussed, with the aim of introducing an application of some algorithms for feature selection to detect hidden, relevant relationships within given sets of channels. All the statistical details, and therefore the feature selection procedure itself, are introduced in view of further deepenings, such as the aforementioned problem of tomographically reconstructing plasma profiles from flux measurements or modelling the system in terms of its input-output relationship.","PeriodicalId":355781,"journal":{"name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130980262","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
Industry 4.0: Roadmap for Applying Technologies in Shipbuilding and Manufacturing Sectors 工业4.0:造船和制造业应用技术路线图
2020 7th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2020-06-29 DOI: 10.1109/CoDIT49905.2020.9263791
Beatrice Di Pierro, M. P. Fanti, M. Roccotelli, V. Sangiorgio
{"title":"Industry 4.0: Roadmap for Applying Technologies in Shipbuilding and Manufacturing Sectors","authors":"Beatrice Di Pierro, M. P. Fanti, M. Roccotelli, V. Sangiorgio","doi":"10.1109/CoDIT49905.2020.9263791","DOIUrl":"https://doi.org/10.1109/CoDIT49905.2020.9263791","url":null,"abstract":"Industry 4.0 revolution is destined to revolutionize the tasks that must be performed within companies and, in this context, new emerging technologies entail the needs for new professional skills. Therefore, it is necessary to think about how the workforce will be affected by the technological changes and how the skills of the workers will change in the future. Nowadays, one of the most critical issues is the misalignment between the needs of the companies and the actual competences of the workers. To face this problem, in this work an innovative approach based on the Analytic Hierarchy Process (AHP) is developed to derive the professional skills needed for Industry 4.0 technologies. In particular, the case of the Adriatic and Ionian area is analyzed in order to show the application of the proposed methodology. The results of the case study allow obtaining Technological Roadmaps to be used by universities and training organizations, companies and authorities in order to provide a more effective and cutting-edge training. Moreover, an overview of the most requested professional profiles in the Adriatic and Ionian area is also provided.","PeriodicalId":355781,"journal":{"name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132781944","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
Estimation of the Distance to Moving Vehicles in a Traffic Stream 交通流中移动车辆距离的估计
2020 7th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2020-06-29 DOI: 10.1109/CoDIT49905.2020.9263786
Oleg Evstafev, V. Bespalov, Sergey V. Shavetov
{"title":"Estimation of the Distance to Moving Vehicles in a Traffic Stream","authors":"Oleg Evstafev, V. Bespalov, Sergey V. Shavetov","doi":"10.1109/CoDIT49905.2020.9263786","DOIUrl":"https://doi.org/10.1109/CoDIT49905.2020.9263786","url":null,"abstract":"This work is devoted to estimating the distance between moving cars to prevent dangerous traffic situations. The solution to this problem uses the approach of computer vision and calculating a depth map based on a stereoscopic pair. Using the Viola-Jones algorithm, the system detects vehicles while the vehicle is moving and calculates the distance to the objects moving in front, combining the received information with a depth map.","PeriodicalId":355781,"journal":{"name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132897732","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
Centrality-Based Anomaly Detection on Multi-Layer Networks Using Many-Objective Optimization 基于多目标优化的多层网络中心性异常检测
2020 7th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2020-06-29 DOI: 10.1109/CoDIT49905.2020.9263819
A. Maulana, M. Atzmueller
{"title":"Centrality-Based Anomaly Detection on Multi-Layer Networks Using Many-Objective Optimization","authors":"A. Maulana, M. Atzmueller","doi":"10.1109/CoDIT49905.2020.9263819","DOIUrl":"https://doi.org/10.1109/CoDIT49905.2020.9263819","url":null,"abstract":"Anomaly detection on complex network is receiving increasing attention, e. g., for finding illegal financial transactions, or for understanding the behavior of people via analyzing social network data. This paper presents a novel method for recognizing and finding anomalies in complex networks. Specifically, it targets multi-layer social network data aiming at finding abnormal behavior of some (groups of) nodes in the network. The method starts by measuring the centrality of all nodes in each layer of the multi-layer network, continues by applying many-objective optimization with full enumeration based on minimization, and obtains the Pareto Front. Objective functions to be optimized simultaneously are the centrality of each layer in the network and thus, the number of objective function are the numbers of existing layers of a multi-layer networks. After the Pareto Front settles, the set of nodes in the Pareto Front are considered as a basis for finding the set of suspected anomaly nodes, using the novel ACE-Score. The ACE-Score is calculated by considering the centrality of a node in the i - th layer, the mean of the centrality in that layer, the standard deviation, and the edge density of each layer. A high ACE-Score then indicates candidate anomalous nodes. We evaluate the approach on generated synthetic network as well as real-world complex networks, demonstrating the effectiveness of the proposed approach. A key feature of our proposed approach is its interpretability and explainability, since we can directly assess anomalous nodes with respect to the network topology.","PeriodicalId":355781,"journal":{"name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132993563","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: 8
Estimation of Electricity Production from Photovoltaic Panels 光伏板发电量的估算
2020 7th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2020-06-29 DOI: 10.1109/CoDIT49905.2020.9263789
Vamsi Bulusu, Yann Busnel, N. Montavont
{"title":"Estimation of Electricity Production from Photovoltaic Panels","authors":"Vamsi Bulusu, Yann Busnel, N. Montavont","doi":"10.1109/CoDIT49905.2020.9263789","DOIUrl":"https://doi.org/10.1109/CoDIT49905.2020.9263789","url":null,"abstract":"The electricity grid is evolving to a distributed infrastructure in which smart grids integrating renewable energies will become dominant. Because of the limited capacity of the battery to store the energy produced at certain time of the day, it is necessary to shift the consumption to when the electricity is actually produced. This paper deals with the estimation of solar panel production in order to forecast when and how much electricity will be available. We propose an Artificial Neural Network model to predict the hourly production of photovoltaic (PV) plants. We evaluate our approach over a large dataset of solar panel electricity production over a period of seven years.","PeriodicalId":355781,"journal":{"name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133270850","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
Remote State Estimation for Jump Markov Nonlinear Systems: A Stochastic Event-Triggered Approach 跳跃马尔可夫非线性系统的远程状态估计:一种随机事件触发方法
2020 7th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2020-06-29 DOI: 10.1109/CoDIT49905.2020.9263908
Weihao Song, Jianan Wang, Dandan Wang, Chunyan Wang, Jiayuan Shan
{"title":"Remote State Estimation for Jump Markov Nonlinear Systems: A Stochastic Event-Triggered Approach","authors":"Weihao Song, Jianan Wang, Dandan Wang, Chunyan Wang, Jiayuan Shan","doi":"10.1109/CoDIT49905.2020.9263908","DOIUrl":"https://doi.org/10.1109/CoDIT49905.2020.9263908","url":null,"abstract":"This paper investigates the remote state estimation issue for the jump Markov nonlinear systems (JMNLSs) with the stochastic event-triggered transmission strategy. For the purpose of saving the scarce network resources, the stochastic event-triggered communication is employed to cut down the number of measurement transmission. The interacting multiple model (IMM) scheme is incorporated due to its strength in alleviating computational burden encountered in the multiple model state estimation problem. In addition, the estimated measurement is utilized to update the mode probability in IMM-based filter when the current measurement is not available to the remote estimators. The proposed algorithm is applied in a two-dimensional maneuvering target tracking problem and the simulation results are presented, which validates the usefulness of the developed scheme.","PeriodicalId":355781,"journal":{"name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132278054","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
Increasing the Angular Resolution of Control and Measurement Systems in Signal Processing 提高信号处理中控制和测量系统的角分辨率
2020 7th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2020-06-29 DOI: 10.1109/CoDIT49905.2020.9263918
B. Lagovsky, E. Rubinovich
{"title":"Increasing the Angular Resolution of Control and Measurement Systems in Signal Processing","authors":"B. Lagovsky, E. Rubinovich","doi":"10.1109/CoDIT49905.2020.9263918","DOIUrl":"https://doi.org/10.1109/CoDIT49905.2020.9263918","url":null,"abstract":"The new method of digital signal processing is presented. The new signal processing technique is based on carrying parametrization problems with the help of data mining. It allows us to obtain the images of signal sources with angular superresolution. The high speed of the method, in contrast to many well-known methods, allows us to use it in realtime. The results of numerical experiments on mathematical models are presented.","PeriodicalId":355781,"journal":{"name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131265368","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
Ambient Assisted Living Technologies and Environments: Literature review and research agenda* 环境辅助生活技术与环境:文献综述与研究议程*
2020 7th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2020-06-29 DOI: 10.1109/CoDIT49905.2020.9263932
V. Rogelj, D. Bogataj
{"title":"Ambient Assisted Living Technologies and Environments: Literature review and research agenda*","authors":"V. Rogelj, D. Bogataj","doi":"10.1109/CoDIT49905.2020.9263932","DOIUrl":"https://doi.org/10.1109/CoDIT49905.2020.9263932","url":null,"abstract":"Increasing number of older adults suffer from various physical and cognitive impairments. Therefore, they have difficulties with basic activities of daily living and are exposed to the risk of falls. In the last 20 years, emerging technologies such as wireless communication, internet of things (IoT), sensors, ambient intelligence and cloud computing, have opened up the possibilities to develop various technologies for supporting older adults to remain physically and mentally active and live autonomously, while being engaged in their communities. The aim of this paper is to review the development of Ambient Assistant Technologies and propose a future research agenda.","PeriodicalId":355781,"journal":{"name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115223464","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: 9
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