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International Conference on Environment and Electrical engineering (EEEIC)

作者： Reza Farid Ghasemnia Mohamadreza Faridghasemnia Zahra Arabkhazaeli Department of Electrical and Control Engineering MAPNA Group Karaj Iran DIAG-Dept. of Computer University of Rome Rome Italy Scientific Consultation T. F. Bina Ltd. Tehran Iran

Inverters are a bridge for DC resources that want to supply AC loads. They can be connected to different resources such as batteries or solar panel on their DC side, and through their AC terminal, get connected to different type of AC loads and supply them. Due to high flexibility in the layout design of multilevel inverters, these inverters are used widely in various applications. One of the most common applications of multi-level inverters is in microgrids, where DC resources with different characteristics and most probably, unstable voltage exists. In general voltage output of inverters, are problematic and might be not close to an ideal sinusoid. Using different types of resources for connecting them to DC side of inverters, cause different harmonics that their amplitude and THD changes in the different situation. Considering real-world DC resources, where their voltage might change suddenly or over time, the problem of controlling harmonics and THD dynamically is more significant. In this paper for overcoming these harmonics under instability, a new comprehensive algorithm has been introduced by using closed-loop PI controller in multi-carrier power width modulation switching that can control the selected harmonics, or lower the produced THD, in both steady DC voltage and unstable situations such as voltage unbalancing of DC resources.

关键词： Harmonic analysis Inverters Pulse width modulation Switches Power harmonic filters

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Preserving the Benefits of Open Government Data by Measuring and Improving Their Quality: An Empirical Study

Preserving the Benefits of Open Government Data by Measuring...

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IEEE Annual International computer Software and Applications Conference (COMPSAC)

作者： Marco Torchiano Antonio Vetrò Francesca Iuliano Dept. of Control and Computer Eng. (DAUIN) Politecnico di Torino Torino ITALY Nexa Center for Internet & Society DAUIN - Politecnico di Torino Torino ITALY Target Reply Milan ITALY

Context: Open Government Data (OGD) represent an invaluable resource for enabling active citizenship. A significant example is represented by the mandatory data that Italian public administrations (PAs) are required to publish concerning their contracts. Nevertheless, a low quality of data provided by PAs could hamper the prospect of citizen involvement. Goal: Our objective is to define a set of basic metrics for public contracts OGD on the basis of the ISO SQuaRE standards family, with the goal of enabling the automated evaluation of dataset quality. Method: We started with the metrics defined in the ISO 25024 standard and adapted them to the data schema of the OGD under evaluation. We assessed the results by looking at the issues revealed by the metrics applied to the data released by a pool of PAs. Results: We were able to define a set of metrics, and apply them to to the datasets released by 12 distinct organizations. The metrics allowed us to identify several quality issues that limit the reuse of OGD from the citizen perspective. Conclusions: The metrics we develop are able to identify quality issues and are suitable to perform an initial automated assessment of OGD datasets. This exercise also support the generality of the ISO 25024 quality measures.

关键词： Measurement ISO Standards Portals Government Contracts Data models

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Research assessment: A contribution to solving the publication credit allocation problem 2

Research assessment: A contribution to solving the publicati...

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2nd Young Scientist's International Workshop on Trends in Information Processing, YSIP2 2017

作者： Schaerf, Marco Dept. of Computer Control and Management Engineering Antonio Ruberti Sapienza University of Rome Italy Institute of Information Technologies and Telecommunications North Caucasus Federal University Stavropol Russia

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COACHES: An assistance multi-robot system in public areas

COACHES: An assistance multi-robot system in public areas

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2017 European Conference on Mobile Robots, ECMR 2017

作者： Jeanpierre, L. Mouaddib, A.-I. Locchi, L. Lazaro, M.T. Pennisi, A. Sahli, H. Erdem, E. Demirel, E. Patoglu, V. GREYC Lab University of Caen France Dept. of Computer Control and Management Engineering Sapienza University of Rome Italy Vrije Universiteit Brussel Belgium Sabanci University Turkey

ISBN: (纸本)9781538610961

In this paper, we present a robust system of self- directed autonomous robots evolving in a complex and public spaces and interacting with people. This system integrates highlevel skills of environment modeling using knowledge-based modeling and reasoning and scene understanding with robust image and video analysis, distributed autonomous decision- making using Markov decision process and Petri-Net planning, short-term interacting with humans and robust and safe navigation in overcrowding spaces. This system has been deployed in a variety of public environments such as a shopping mall, a center of congress and in a lab to assist people and visitors. The results are very satisfying showing the effectiveness of the system and going beyond just a simple proof of concepts. © 2017 IEEE.

关键词： Petri nets

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Removed: VitSeg: Weakly supervised vitiligo segmentation in skin image

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computerized medical imaging and graphics : the official journal of the computerized Medical Imaging Society 2020年 85卷 101779页

作者： Zhangxing Bian Siyu Xia Chao Xia Ming Shao Key Laboratory of Measurement and Control of CSE Ministry of Education School of Automation Southeast University Nanjing China Electrical Engineering and Computer Science University of Michigan Ann Arbor MI USA. Electronic address: jasonbian.zx@***. Key Laboratory of Measurement and Control of CSE Ministry of Education School of Automation Southeast University Nanjing China. Electronic address: xsy@***. School of Electronics Information and Electrical Engineering ShangHai Jiao Tong University Shanghai China. Electronic address: xiabc612@***. Dept. of Computer and Information Science University of Massachusetts Dartmouth Dartmouth MA USA. Electronic address: mshao@umassd.edu.

This article has been removed: please see Elsevier Policy on Article Withdrawal (https://***/about/our-business/policies/article-withdrawal). This article has been removed at the request of the Authors and Editor-in-Chief because complete consent was not obtained by the authors in accordance with journal policy prior to publication. The authors and the journal sincerely apologize for this oversight.

关键词： Convolutional neural network Saliency propagation Skin lesion Vitiligo Weakly supervised segmentation

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A neural network for predicting unintentional lane departures

A neural network for predicting unintentional lane departure...

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2017 IEEE International Conference on Industrial Technology, ICIT 2017

作者： Ambarak, Jamaa M. Ying, Hao Syed, Fazal Filev, Dimitar Dept. of Electrical and Computer Engineering Wayne State University DetroitMI United States Hybrid Electric Vehicle Control System Ford Motor Company DearbornMI United States

ISBN: (纸本)9781509053209

Unintended lane departure accidents are due to driver's inattention, incapacitation, and drowsiness. Lane departure warning systems have been developed to enhance traffic safety by predicting/detecting driving situation and alerting drivers to avoid or mitigate traffic accidents. This paper explores effectiveness of a three-layer perceptron neural network in predicting an unintentional lane departure, which to the best of our knowledge has not been reported in the literature. This study used driver experiment data generated by VIRTTEX, a hydraulically powered 6-degrees-of-freedom moving base driving simulator at Ford Motor Company. The experimental data represented 16 drowsy drivers who drove a simulated 2000 Volvo S80 (three hours per driver), which consisted of a total of 3,508 lane departure occurrences. Two-third of the lane departures were randomly selected to generate training examples for the network (82,040 examples for a 0.2-second prediction horizon and 171,112 for a 0.5-second horizon). The number of hidden neurons as well as the input vehicle variables were optimized experimentally through the training process. The optimized network was then used to predict lane departure by processing the entire driving time series of the 16 drivers one by one after all the training data was removed from the time series. The network made a prediction at each sampling moment of the time series and there were over 6.3 million predictions. The overall recall and precision of the optimized network for the 0.2-second horizon were 99.74% and 99.66%, respectively, which degraded to 99.23% and 85.49%, respectively, when the horizon increased to 0.5 s. © 2017 IEEE.

关键词： Forecasting

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Review of the image assessment evaluation algorithm based on local information and structure 17

Review of the image assessment evaluation algorithm based on...

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2017 International Conference on Data Mining, Communications and Information Technology, DMCIT 2017

作者： Xiao, Wenyu Feng, Shide Zhang, Chuankai Faculty of Information Technology Macau University of Science and Technology C-Macau China Material Forming and Control Engineering Dept. Harbin University of Science and Technology Harbin250021 China Dept. of Computer Science and Technology Wuhan University Wuhan430072 China

ISBN: (纸本)9781450352185

Image quality assessment (IQA) of an image is a vital research direction in the field of image processing. With the quickly developing evaluation methods, study of image quality evaluation method has a profound impact on image and video processing. At present, most of the image quality assessment methods are based on full reference. The traditional quality evaluation method based on structural similarity has the characteristics of narrow application range, unstable evaluation algorithm and so on. The difficulties of obtaining the original image and the difficulty of the reference model design directly incented the development of the semi reference IQA. In this context, a topic-based image quality evaluation process grounded on local information and structure information is proposed. Compared to the traditional image quality evaluation algorithm, the structure similarity has been improved by combining local information. The results show that the evaluation results of the method are more reasonable and stable, which provides a good reference for the post processing of the image. © 2017 Association for Computing Machinery.

关键词： Quality control

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Zapping Zika with a Mosquito-Managing Drone: Computing Optimal Flight Patterns with Minimum Turn Cost 33

Zapping Zika with a Mosquito-Managing Drone: Computing Optim...

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33rd International Symposium on Computational Geometry, SoCG 2017

作者： Becker, Aaron T. Debboun, Mustapha Fekete, Sándor P. Krupke, Dominik Nguyen, An Department of Electrical and Computer Engineering University of Houston HoustonTX United States Mosquito and Vector Control Division Harris County Public Health HoustonTX United States Dept. of Computer Science TU Braunschweig Braunschweig Germany

ISBN: (纸本)9783959770385

We present results arising from the problem of sweeping a mosquito-infested area with an Unmanned Aerial Vehicle (UAV) equipped with an electrified metal grid. This is related to the Traveling Salesman Problem, the Lawn Mower Problem and, most closely, Milling with Turn Cost. Planning a good trajectory can be reduced to considering penalty and budget variants of covering a grid graph with minimum turn cost. On the theoretical side, we show the solution of a problem from The Open Problems Project that had been open for more than 15 years, and hint at approximation algorithms. On the practical side, we describe an exact method based on Integer Programming that is able to compute provably optimal instances with over 500 pixels. These solutions are actually used for practical trajectories, as demonstrated in the video. © Aaron T. Becker, Mustapha Debboun, Sándor P. Fekete, Dominik Krupke, An Nguyen.

关键词： Traveling salesman problem

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Opening more data a new privacy risk scoring model for open data 7

Opening more data a new privacy risk scoring model for open ...

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7th International Symposium on Business Modeling and Software Design, BMSD 2017

作者： Ali-Eldin, Amr M. T. Zuiderwijk, Anneke Janssen, Marijn Leiden Institute of Advanced Computer Science Leiden University Leiden Netherlands TBM Delft University of Technology Jaffalaan 5 Delft2628 BX Netherlands Computer and Control Systems Dept. Faculty of Engineering Mansoura University Mansoura Egypt

ISBN: (纸本)9789897582387

While the opening of data has become a common practice for both governments and companies, many datasets are still not published since they might violate privacy regulations. The risk on privacy violations is a factor that often blocks the publication of data and results in a reserved attitude of governments and companies. Additionally, even published data, which might seem privacy compliant, can violate user privacy due to the leakage of real user identities. This paper proposes a privacy risk scoring model for open data architectures to analyse and reduce the risks associated with the opening of data. The key elements consist of a new set of open data attributes reflecting privacy risks versus benefits trades-offs. Further, these attributes are evaluated using a decision engine and a scoring matrix intro a privacy risk indicator (PRI) and a privacy risk mitigation measure (PRMM). Privacy Risk Indicator (PRI) represents the predicted value of privacy risks associated with opening such data and privacy risk mitigation measures represent the measurements need to be applied on the data to avoid the expected privacy risks. The model is exemplified through five real use cases concerning open datasets.

关键词： Data mining

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Inverse kinematics and sensitivity minimization of an n-stack stewart platform

arXiv

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arXiv 2018年

作者： Balaban, David Cooper, John Komendera, Erik University of Massachusetts Amherst College of Computer Sciences AmherstMA United States NASA Langley Research Center Dynamic Systems and Control Branch HamptonVA United States Virginia Tech Dept. of Mechanical Engineering BlacksburgVA United States

An autonomous system is presented to solve the problem of in space assembly, which can be used to further the NASA goal of deep space exploration. Of particular interest is the assembly of large truss structures, which requires precise and dexterous movement in a changing environment. A prototype of an autonomous manipulator called "Assemblers"was fabricated from an aggregation of Stewart Platform robots for the purpose of researching autonomous in space assembly capabilities. The forward kinematics for an Assembler is described by the set of translations and rotation angles for each component Stewart Platform, from which the position and orientation of the end effector are simple to calculate. However, selecting inverse kinematic poses, defined by the translations and rotation angles, for the Assembler requires coordination between each Stewart Platform and is an underconstrained non-linear optimization problem. For assembly tasks, it is ideal that the pose selected has the least sensitivity to disturbances possible. A method of sensitivity reduction is proposed by minimizing the Frobenius Norm (FN) of the Jacobian for the forward kinematics. The effectiveness of the FN method will be demonstrated through a Monte Carlo simulation method to model random motion internal to the structure. Copyright © 2018, The Authors. All rights reserved.

关键词： Inverse kinematics

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