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25th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2014

作者： Dietzfelbinger, Martin Woelfel, Philipp Faculty of Computer Science and Automation Technische Universität Ilmenau 98684 Ilmenau Germany Department of Computer Science University of Calgary Calgary AB T2N1N4 Canada

ISBN: (纸本)9781611973389

We consider Kleinberg's celebrated small world graph model [12, 13], in which a D-dimensional grid {0,...,n - 1}1) is augmented with a constant number of additional unidirectional edges leaving each node. These long range edges are determined at random according to a probability distribution (the augmenting distribution), which is the same for each node. Kleinberg suggested using the inverse D-th power distribution, in which node v is the long range contact of node u with a probability proportional to ||u - v|| 1-D. He showed that such an augmenting distribution allows to route a message efficiently in the resulting random graph: The greedy algorithm, where in each intermediate node the message travels over a link that brings the message closest to the target w.r.t. the Manhattan distance, finds a path of expected length O((logn)2) between any two nodes. In this paper we prove that greedy routing does not perform asymptotically better for any uniform and isotropic augmenting distribution, i.e., the probability that node u has a particular long range contact v is independent of the labels of u and v and only a function of ||u - v||1,. In particular, we show that for such graphs the expected greedy routing time between two arbitrary nodes s and t is Ω((log||s - T||1)2). This lower bound proves and strengthens a conjecture by Aspnes, Diamadi, and Shah [1]. In order to obtain the result, we introduce a novel proof technique: We define a so-called budget game, in which a token travels over a game board, from one end to the other, while the player manages a "probability budget". In each round, the player "bets" part of her remaining probability budget on step sizes. A step size is chosen at random according to a probability distribution of the player's bet. The token then makes progress as determined by the chosen step size, while some of the player's bet is removed from her probability budget. We prove a tight lower bound for such a budget game, and then obtain a lower b

关键词： Probability distributions

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Hepatocellular Carcinoma Recognition from Ultrasound Images by Fusing Convolutional Neural Networks at Decision Level 46

Hepatocellular Carcinoma Recognition from Ultrasound Images ...

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46th International Conference on Telecommunications and Signal Processing, TSP 2023

作者： Mitrea, Delia Brehar, Raluca Mocan, Cristinel Nedevschi, Sergiu Socaciu, Mihai Badea, Radu Technical University of Cluj-Napoca Faculty of Automation and Computer Science Department of Computer Science Cluj-Napoca Romania I. Hatieganu University of Medicine and Pharmacy Department of Medical Imaging Cluj-Napoca Romania

ISBN: (纸本)9798350303964

The Hepatocellular Carcinoma (HCC) is the most often met malignant tumor of the liver. It develops from cirrhosis, after a parenchyma restructuring phase, at the end of which dysplastic nodules result that can transform into HCC. Nowadays, HCC diagnosis is usually performed through needle biopsy, also through medical imaging, but most of the methods are invasive and/or expensive. Ultrasonography is the best option for screening, while computerized techniques must be developed as well to derive subtle information. In our previous research, we experimented with conventional techniques, based on advanced texture analysis methods and traditional classifiers, as well as with deep learning techniques, aiming to perform HCC recognition with maximum accuracy. We combined the CNN architectures with each other, respectively with the conventional techniques, at classifier level. In this work, we combined existing and original CNN architectures at decision level, we assessed the corresponding performance, and we compared it with our previous results. © 2023 IEEE.

关键词： Convolutional neural networks

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Software requirements modeling: A systematic literature review

Software requirements modeling: A systematic literature revi...

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2020 IEEE International Conference on Computing, Power and Communication Technologies, GUCON 2020

作者： Arif, Mohd. Mohammad, Chaudhary Wali Sadiq, Mohd. Faculty of Engineering and Technology Department of Applied Sciences and Humanities New Delhi110025 India Indian Institute of Science Department of Computer Science and Automation Bangalore560012 India

ISBN: (纸本)9781728150703

Software requirements modeling (SRM) is a subprocess of requirements engineering (RE) which is used to elicit and represent the need of the stakeholders. Different systematic literature reviews (SLR) have been performed in different areas of RE like requirements elicitation, stakeholder identification, requirements prioritization, use case models, etc. Despite the availability of different SRM techniques, less attention is given to synthesize the existing SRM techniques in the context of the unified modeling language (UML) and goal oriented techniques like 'Knowledge Acquisition for Automated Specifications' (KAOS), I∗ framework, non-functional requirements (NFR) framework, and Tropos, etc. Therefore, to address this issue, in this paper we present the SLR by analysing the existing SRM techniques based on the following formulated research questions (RQs): (a) how UML and goal oriented techniques were evolved? (b) which modeling techniques are appropriate for modeling the NFRs? (c) what are the tools available for modeling the different types of the software requirements, i.e., functional and nonfunctional requirements? Search items were extracted from the RQs to identify the primary studies from the Journals, Conferences, Workshops, and Symposium. Our SLR has identified 56 distinct studies which have been published from 2008 to 2019. Selected studies were assessed according to the formulated RQs for their quality and coverage to specific SRM technique thus identifying some gaps in the literature. We observed that there is need to develop the SRM techniques for representing the different types of the NFRs;and also to strengthen the UML by integrating the NFRs and multi-criteria decision making techniques. © 2020 IEEE.

关键词： Requirements engineering

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Algorithmic aspects of private Bayesian persuasion 8

Algorithmic aspects of private Bayesian persuasion

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8th Innovations in Theoretical computer science Conference, ITCS 2017

作者： Babichenko, Yakov Barman, Siddharth William Davidson Faculty of Industrial Engineering and Management Technion-Israel Institute of Technology Haifa Israel Department of Computer Science and Automation Indian Institute of Science Bangalore India

ISBN: (纸本)9783959770293

We consider a multi-receivers Bayesian persuasion model where an informed sender tries to persuade a group of receivers to take a certain action. The state of nature is known to the sender, but it is unknown to the receivers. The sender is allowed to commit to a signaling policy where she sends a private signal to every receiver. This work studies the computation aspects of finding a signaling policy that maximizes the sender's revenue. We show that if the sender's utility is a submodular function of the set of receivers that take the desired action, then we can efficiently find a signaling policy whose revenue is at least (1 - 1/e) times the optimal. We also prove that approximating the sender's optimal revenue by a factor better than (1 - 1/e) is NP-hard and, hence, the developed approximation guarantee is essentially tight. When the sender's utility is a function of the number of receivers that take the desired action (i.e., the utility function is anonymous), we show that an optimal signaling policy can be computed in polynomial time. Our results are based on an interesting connection between the Bayesian persuasion problem and the evaluation of the concave closure of a set function.

关键词： Polynomial approximation

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Method for Improving Dynamic Characteristics of Electromechanical Transducer Based on Induction Motor 5

Method for Improving Dynamic Characteristics of Electromecha...

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5th International Conference on Control Systems, Mathematical Modeling, automation and Energy Efficiency, SUMMA 2023

作者： Meshcheryakov, Viktor Yazykova, Liubov Muzyleva, Inna Valtchev, Stanimir Lipetsk State Technical University Automation and Computer Science Faculty Russia University NOVA of Lisbon UNINOVA-CTS Faculty of Sciences and Technology 2829-516 Campus Caparica Portugal

ISBN: (纸本)9798350309126

This paper proposes a universal method for improving the dynamic characteristics of induction motors. The transient processes here fluctuate greatly, which reduces the energy efficiency of the electromechanical converter. A flexible feedback on flux linkage is proposed, which makes it possible to suppress oscillations. A numerical experiment was carried out for the mode of starting an induction motor in relative variables. © 2023 IEEE.

关键词： Electric drives

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Numerical algorithm for non-linear systems identification based on wavelet transform

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6th International Conference on Numerical Methods and Applications, NMA 2006

作者： Şerban, Elena Gh. Asachi Technical University of Iaşi Faculty of Automation and Computer Science Department of Computer Science and Engineering Bd. Mangeron nr. 53A 700050 Iaşi Romania

ISBN: (纸本)3540709401

This paper propose a method for identification of complex engineering systems using wavelet transform. This transform is chosen because it can provide a well localization both in time and in frequency. The method is applied to an electrohydraulic system that drives a shaking table. The identification is made using real signals obtained from experimental tests. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Nonlinear systems

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Regularization based ordering for ensemble pruning

Regularization based ordering for ensemble pruning

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2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11

作者： Zhang, Gang Yin, Jian Zhang, Shanhong Cheng, Lianglun Dept. of Computer Science Sun Yat-Sen Unversity GuangZhou China Guang Dong University of Technology Faculty of Automation GuangZhou China

ISBN: (纸本)9781612841816

In ensemble learning, several base learners are combined together in some way to get a stronger learner. Good ensembles are often much more accurate than individual learners that make them up. Ensemble pruning searches for a good subset of ensemble members that performs as well as, or better than the original ensemble. We analyze accuracy, diversity and generalization ability of base learners for classification, then prove that ensemble constructed by learners of better generalization ability performs better in generalization. Then we use Graph Laplacian to evaluate generalization ability of learners on data sets and propose an efficient hybrid metric based individual contribution estimating method that fully reflects performance of member classifiers. A multi-objective sort method is used to get the best order under hybrid metric. Experimental results show that the proposed method is effective. © 2011 IEEE.

关键词： Classification (of information)

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Adaptive control for an uncertain robotic manipulator with input saturations

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Control Theory and Technology 2016年第2期14卷 113-121页

作者： Trong-Toan TRAN Shuzhi Sam GE Wei HE Center for Robotics and School of Automation Engineering University of Electronic Science and Technology of China (UESTC) Chengdu Sichuan 611731 China Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Faculty of Electronic Technology Industrial University of rio Chi Minh City Ho Chi Minh City Vietnam School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 China

In this paper, we address the control problem of an uncertain robotic manipulator with input saturations, unknown input scalings and disturbances. For this purpose, a model reference adaptive control like （MRAC-like） is used to handle the input saturations. The model reference is input to state stable （ISS） and driven by the errors between the required control signals and input saturations. The uncertain parameters are dealt with by using linear-in-the-parameters property of robotic dynamics, while unknown input scalings and disturbances are handled by non-regressor based approach. Our design ensures that all the signals in the closed-loop system are bounded, and the tracking error converges to the compact set which depends on the predetermined bounds of the control inputs. Simulation on a planar elbow manipulator with two joints is provided to illustrate the effectiveness of the proposed controller.

关键词： Robotic manipulator adaptive control uncertain parameter input saturation trajectory tracking

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Building a Virtual Campus for digital students

Building a Virtual Campus for digital students

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2011 IEEE Global Engineering Education Conference, EDUCON 2011

作者： Andone, Diana Vasiu, Radu Robu, Nicolae Center for Distance Education Politehnica University Timisoara Romania Faculty of Electronics and Telecommunication Politehnica University Timisoara Romania Faculty of Automation and Computer Science Politehnica University Timisoara Romania

ISBN: (纸本)9781612846439

This paper describes the results of a study undertaken on Master of science students in order to analyse their characteristics as digital students and how this can influence their use of the "Politehnica" University of Timisoara Virtual Campus. The students most used and important tools are search engines, online instant messenger and mobile phones, with direct implications on the development of their online learning environment. Their preferred communication method for educational activities in also instant, synchronous communication while online document sharing scores surprisingly high in their preferences. © 2011 IEEE.

关键词： Students

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Guideline to choose a forecasting tool with fuzzy logic support

Guideline to choose a forecasting tool with fuzzy logic supp...

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2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013

作者： Dragomir, Otilia Elena Dragomir, Florin Stefan, Veronica Automation Computer Science and Electrical Engineering Department Valahia University of Targoviste Targoviste Romania Faculty of Economics Valahia University of Targoviste Targoviste Romania

ISBN: (纸本)9781467363211

The aim of this paper is to dress up a guideline to choose a suitable forecasting technique with fuzzy logic support. First of all, the smart grids, framework for low-voltage networks with distributed energy from renewable energy sources, are presented with advantages, limitations and challenges. In the second part, a cross view of the forecasting problem is given in order to establish a common perception of it. In this way, forecasting approaches are studied from both the producers and consumers points of view. Finally, a guideline to choose a forecasting tool with fuzzy logic is given as a supporting tool for low-voltage with distributed energy generation networks capacity allocation and congestion management. With this 'decision support tool' the energy market energy participants should allow a correct prediction of the available capacity of transmission lines and cross-border interconnections, so that it can be efficiently allocated to market actors. © 2013 IEEE.

关键词： Fuzzy logic

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