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Development of a neural network model for solid municipal waste detection

AIP Conference Proceedings 2023年第1期2833卷

作者： Aleksandra Sivova Nikita Kostromin Elena Dushechkina Andreea Panea Department of power engineering Bauman Moscow State Technical University Moscow 105005 Russia Department of computer science and control systems Bauman Moscow State Technical University Moscow 105005 Russia

The article describes the results of developing a minimum viable product for the automatic sorting of municipal solid waste. A neural network model for detecting municipal solid waste was developed for automatic waste sorting. This neural network model has trained on the TACO (trash annotations in context) dataset, which was augmented with collected data from the Internet. A brief theory of neural networks is given: what is the object detection and how it is performed, the quality parameters of neural networks (metrics), which were used to increase the quality of the neural network model. Based on the analysis of the obtained metrics (precision, recall, f1-score), the best parameters for the developed neural network model are selected. Particular attention is paid to the prospects of using the detection of objects (municipal solid waste) to reduce the area of old and suspend the formation of new waste disposal sites (landfills). The consequences of the formation of landfills for both the environment and animals, including humans, are given. The degree of importance of the presented material is high for scientists and engineers of the countries, where the percentage of recyclable waste does not reach even 10%, as well as for novice developers of neural network models.

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When showing your hand pays off: Announcing strategic intentions in Colonel Blotto games

arXiv

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arXiv 2020年

作者： Chandan, Rahul Paarporn, Keith Marden, Jason R. Department of Electrical and Computer Engineering Center of Control Dynamical Systems and Computation UC SantaBarbara United States

— In competitive adversarial environments, it is often advantageous to obfuscate one’s strategies or capabilities. However, revealing one’s strategic intentions may shift the dynamics of the competition in complex ways. Can it ever be advantageous to reveal strategic intentions to an opponent? In this paper, we consider three-stage Colonel Blotto games in which one player can choose whether or not to pre-commit resources to a single battlefield before play begins. This pre-commitment is public knowledge. In response, the opponent can either secure the battlefield by matching the pre-commitment with its own forces, or withdraw. In a two-player setting, we show that a weaker player never has an incentive to pre-commit any amount of resources to a battlefield regardless of how valuable it is. We then consider a three-player setting in which two players fight against a common adversary on separate fronts. Only one of the two players facing the adversary has the option of pre-committing. We find there are instances where this player benefits from pre-committing. The analysis indicates that under non-cooperative team settings and no possibility of forming alliances, there can be incentives to publicly announce one’s strategic intentions to an adversary. Copyright © 2020, The Authors. All rights reserved.

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Innovative Competency-Based Electrical engineering Curriculum

Innovative Competency-Based Electrical Engineering Curriculu...

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Frontiers in Education (FIE) Conference

作者： Gustavo P. Rehder Ariana L. C. Serrano José B. Grimoni Anarosa A. F. Brandão Magno M. T. Silva Henrique T. Moriya Cristiano M. Panazio Edson Barbero Marco I. Alayo Irineu G. N. Gianesi Antonio C. Seabra Electronic Systems Department of the Escola Politécnica Universidade de São Paulo São Paulo Brazil Electric Automation and Energy Dept. of the Escola Politécnica Universidade de São Paulo São Paulo Brazil Computer Engineering and Digital Systems Department of the Escola Politécnica Universidade de São Paulo São Paulo Brazil Telecommunications and Control Dept. of the Escola Politécnica Universidade de São Paulo São Paulo Brazil Professional Master's in Administration - Á lvares Penteado School of Commerce Foundation São Paulo Brazil Instituto Mauá de Tecnologia São Paulo Brazil

ISBN: (数字)9798350351507

ISBN: (纸本)9798350363067

The Electrical engineering undergraduate program of the Escola Politécnica of the Universidade de São Paulo has created an alternative innovative curriculum path for its freshmen students in 2024. The Competency-based Path emphasizes the development of competencies and skills for the unprecedented technological advancements that necessitate a holistic education for future electrical engineers, preparing them with practical skills for real-world challenges. The program was designed using an innovative methodology and centers around semester-long or year-long integrative projects. These projects bridge the gap between theory and practice, as students deal with real-world challenges while fostering social responsibility.

关键词： Electrical engineering Education

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Chance Constrained Economic Dispatch Considering the Capability of Network Flexibility Against Renewable Uncertainties

arXiv

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arXiv 2021年

作者： Song, Yue Liu, Tao Hill, David J. The Department of Control Science and Engineering Tongji University Shanghai201804 China The National Key Laboratory of Autonomous Intelligent Unmanned Systems Shanghai201210 China The Frontiers Science Center for Intelligent Autonomous Systems Ministry of Education Shanghai200120 China Hong Kong The HKU Shenzhen Institute of Research and Innovation Shenzhen China The Department of Electrical and Computer Systems Engineering Monash University MelbourneVIC3000 Australia The Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong

This paper incorporates a continuous-type network flexibility into chance constrained economic dispatch (CCED). In the proposed model, both power generations and line susceptances are continuous variables to minimize the expected generation cost and guarantee a low probability of constraint violation in terms of generations and line flows under renewable uncertainties. From the analytical form of CCED, we figure out the mechanism of network flexibility against uncertainties-while renewable uncertainties shrink the usable line capacities and aggravate transmission congestion, network flexibility mitigates congestion by re-routing the base-case line flows and reducing the line capacity shrinkage caused by uncertainties. Further, we propose an alternate iteration solver for this problem. By duality theory, we set up a master problem in the form of second-order cone programming to optimize generation dispatch scheme and a subproblem in the form of linear programming to optimize line susceptances. A satisfactory solution can be obtained efficiently by alternately solving these two problems. The proposed method applies to both Gaussian uncertainty and non-Gaussian uncertainty by means of Gaussian mixture model. The case studies on the IEEE 14-bus system and IEEE 118-bus system suggest that network flexibility can significantly improve operational economy while ensuring security under uncertainties. © 2021, CC BY.

关键词： Second-order cone programming

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Multimodal Information-Based Broad and Deep Learning Model for Emotion Understanding

Multimodal Information-Based Broad and Deep Learning Model f...

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第40届中国控制会议

作者： Min Li Luefeng Chen Min Wu Witold Pedrycz Kaoru Hirota School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Department of Electrical and Computer Engineering University of Alberta Tokyo Institute of Technology

Multimodal information-based broad and deep learning model（MIBDL） for emotion understanding is proposed, in which facial expression and body gesture are used to achieve emotional states recognition for emotion understanding. It aims to understand coexistence multimodal information in human-robot interaction by using different processing methods of deep network and broad network, which obtains the features of depth and width dimensions. Moreover, random mapping in the initial broad learning network could cause information loss and its shallow layer network is difficult to cope with complex tasks. To address this problem, we use principal component analysis to generate the nodes of the broad learning, and the stacked broad learning network is adapted to make it easier for the existing broad learning networks to cope with complex tasks by creating deep variations of the existing network. To verify the effectiveness of the proposal, experiments completed on benchmark database of spontaneous emotion expressions are developed, and experimental results show that the proposal outperforms the state-of-theart methods. According to the simulation experiments on the FABO database, by using the proposed method, the multimodal recognition rate is 17,54%, 1.24%, and 0.23% higher than those of the temporal normalized motion and appearance features（TN）,the multi-channel CNN（MCCNN）, and the hierarchical classification fusion strategy（HCFS）, respectively.

关键词： Convolution neural network broad learning emotion understanding facial expression body gesture

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Adaptive control for flow and volume regulation in multi-producer district heating systems

arXiv

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arXiv 2021年

作者： Martinez, Juan Eduardo Machado Cucuzzella, Michele Pronk, Nina Scherpen, Jacquelien M.A. The Jan C. Willems Center for Systems and Control ENTEG Faculty of Science and Engineering University of Groningen Nijenborgh 4 Groningen9747 AG Netherlands The Department of Electrical Computer and Biomedical Engineering University of Pavia via Ferrata 5 Pavia27100 Italy

Flow and storage volume regulation is essential for the adequate transport and management of energy resources in district heating systems. In this letter, we propose a novel and suitably tailored-decentralized-adaptive control scheme addressing this problem whilst offering closed-loop stability guarantees. We focus on a system configuration comprising multiple heat producers, consumers and storage tanks exchanging energy through a common distribution network, which are features of modern and prospective district heating installations. The proposed controller is based on passivity, backstepping and (indirect) adaptive control theory. Copyright © 2021, The Authors. All rights reserved.

关键词： District heating

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Urban Digital Twins for Intelligent Road Inspection

Urban Digital Twins for Intelligent Road Inspection

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IEEE International Conference on Big Data

作者： Rui Fan Yikang Zhang Sicen Guo Jiahang Li Yi Feng Shuai Su Yanting Zhang Wenshuo Wang Yu Jiang Mohammud Junaid Bocus Xingyi Zhu Qijun Chen the Department of Control Science & Engineering Frontiers Science Center for Intelligent Autonomous Systems and State Key Laboratory of Intelligent Autonomous Systems Robotics & Artificial Intelligence Laboratory (RAIL) Tongji University Shanghai P. R. China Department of Computer Science & Technology Donghua University Shanghai P. R. China Department of Civil Engineering McGill University Montreal Canada CTO office at ClearMotion Billerica MA USA Department of Electrical & Electronic Engineering the University of Bristol BS8 1UB U.K Key Laboratory of Road and Traffic Engineering of Ministry of Education Tongji University Shanghai P. R. China

ISBN: (纸本)9781665480468

Urban digital twin (UDT) technologies offer new opportunities for intelligent road inspection (IRI). This paper first reviews the state-of-the-art algorithms used in the two key components of UDT-based IRI systems: (1) multi-temporal, multi-dimension, multi-score, and heterogeneous road data acquisition, and (2) road distress detection. This paper then summarizes the UDTIRI competition, organized in conjunction with IEEE Bigdata 2022. More details on our competition are available at ***/view/udtiri-workshop/bigdata-2022.

关键词： Roads Data acquisition Inspection Big Data Rough surfaces Digital twins

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Feasible Regions Identification based on Historical Solutions for Constrained Optimization Problems

Feasible Regions Identification based on Historical Solution...

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Congress on Evolutionary Computation

作者： Mengli Shan Changhe Li Mai Peng Xiaobo Liu Michalis Mavrovouniotis Shengxiang Yang School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China School of Artificial Intelligence Anhui University of Science & Technology Hefei China State Key Laboratory of Digital Intelligent Technology for Unmanned Coal Mining Anhui University of Science & Technology Huainan China ERATOSTHENES Centre of Excellence Limassol Cyprus Department of Civil Engineering and Geomatics Cyprus University of Technology Limassol Cyprus School of Computer Science and Informatics De Montfort University Leicester United Kingdom

ISBN: (数字)9798331534318

ISBN: (纸本)9798331534325

The presence of constraints often leads to the formation of narrow and fragmented feasible regions within the search region, presenting significant challenges for optimization problem-solving. This paper introduces a novel approach, Feasible Regions Identification based on Historical Solutions (FRIHS), designed to address these challenges. FRIHS leverages previously evaluated solutions to partition the search region into ε-feasible and ε-infeasible regions. Additionally, by analyzing the correlations among constraints, they are reformulated as auxiliary objectives, effectively transforming the constrained optimization problem into a constrained multi-objective optimization problem. The method employs the classical evolutionary algorithm Differential Evolution and the multi-objective method NSGA-III to search the most promising feasible regions. The effectiveness of FRIHS is evaluated through a comparative analysis with five advanced constraint-handling algorithms across a benchmark test suite. Experimental results indicate that the proposed approach demonstrates competitive performance on the test problems.

关键词： Correlation Evolutionary computation Benchmark testing Search problems Rendering (computer graphics) Problem-solving Optimization Faces

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An exponential stability test for a messenger rna–micro rna ode model

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UPB Scientific Bulletin, Series A: Applied Mathematics and Physics 2020年第4期82卷 11-16页

作者： Olteanu, Mircea Ştefan, Radu Department of Mathematical Methods and Models Faculty of Applied Sciences University "Politehnica" of Bucharest Romania Department of Automatic Control and Systems Engineering Faculty of Automatic Control and Computer Science University "Politehnica" of Bucharest Romania

In this paper we obtain a numerically tractable test (sufficient condition) for the exponential stability of the unique positive equilibrium point of an ODE system. The result (Theorem 3.1) is based on Lyapunov theory and Linear Ma-trix Inequalities techniques. The ODE model is related to the messengerRNA-microRNA interaction. © 2020, Politechnica University of Bucharest. All rights reserved.

关键词： RNA

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Fuzzy Model of the IT Project Environment Impact on its Completion

Fuzzy Model of the IT Project Environment Impact on its Comp...

引用

International Conference on Advanced computer Information Technologies (ACIT)

作者： Nadiia Vasylkiv Iryna Turchenko Lesia Dubchak Department of Information Computer Systems and Control Ternopil National Economic University Ternopil Ukraine Department of Computer Engineering Ternopil National Economic University Ternopil Ukraine

ISBN: (数字)9781728167602

ISBN: (纸本)9781728167619

A fuzzy model for estimating the impact of the IT project environment on its implementation is developed, the inputs of which are environmental factors, financial, human resources and the output is the completion of the project, which allows timely response to uncertain and risky situations for the project. The proposed fuzzy model can be used to effectively manage projects of various directions and make changes to their implementation in order to complete project work in a timely and successful manner.

关键词： Mathematical model Fuzzy logic Input variables Environmental factors Project management Computational modeling Matlab

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