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On CNN Applied to Speech-to-Text-Comparative Analysis of Different Gradient Based Optimizers 15

On CNN Applied to Speech-to-Text-Comparative Analysis of Dif...

引用

ieee 15th International symposium on Applied computational intelligence and Informatics (SACI)

作者： Gaiceanu, Theodora Pastravanu, Octavian Tech Univ Gheorghe Asachi Iasi Dept Automat Control & Appl Informat Fac Automat Control & Comp Engn Iasi Romania

ISBN: (纸本)9781728195438

In this paper the authors have developed a Convolutional Neural Network architecture adapted to Speech-to-Text research field. This type of network has been chosen due to its capacity to extract the relevant features and its popularity in classification problems. A particular model for a Speech-to-Text application has been designed. The parameters of the model (i.e. the size of filters and kernels), and the number of the layers have been chosen by conducting appropriate experiments, and the model that ensured the highest accuracy has been selected. The model takes raw waveforms of spoken digits as input, and outputs a text with the predicted digit. The network is capable of providing the right digit no matter the gender or age of the speaker. The overfitting has been avoided by using Dropout layers and early stopping function. In order to select the best model, the authors have taken into account two basic criteria: the accuracy of the model, and the execution time, respectively. Considering the computational time, the first order cost function has been chosen. By testing different gradient descent optimization algorithms, the best optimizer has been selected. The application has been developed using Python programming language.

关键词： Speech-to-Text Deep Learning Convolutional neural networks Automatic speech recognition Gradient descent optimization algorithms computational intelligence

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Translation of Time Series Data from controlled DC Motors using Disentangled Representation Learning

Translation of Time Series Data from Controlled DC Motors us...

引用

ieee symposium Series on computational intelligence (ieee SSCI)

作者： Arnout, Hiba Bronner, Johanna Kehrer, Johannes Runkler, Thomas Tech Univ Munich Munich Germany Siemens AG Munich Germany

ISBN: (纸本)9781728190488

In this paper, we consider the problem of translating time series of one controlled DC motor to imitate time series from another motor. Our main goal is to test different controllers and find the best performing controller for a motor operating in the field without knowing its mathematical model. By means of representation disentanglement, we present a new approach that splits the time series of each control system into two representation vectors: a first vector depicting the motor characteristics and its operating mode and a second vector describing the controller effect. We test our method on a scenario where we simulate the behavior of two different controlled DC motors. We map the behavior of a controller of a lab motor to a field motor. The experiments show that DR-TiST can recognize motor and controller characteristics and predict the right behavior.

关键词： DC motor control theory speed representation learning time series translation

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Reproducibility analysis of mobile robots movement by IMU sensor measurements 15

Reproducibility analysis of mobile robots movement by IMU se...

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ieee 15th International symposium on Applied computational intelligence and Informatics (SACI)

作者： Kecskes, Istvan Bacsa, Robert Odry, Peter Vizvari, Zoltan Toth, Attila Univ Dunaujvaros Dept Control Engn & Informat Technol Dunaujvaros Hungary RK Radar Backa Topola Amateur Radio Union Serbia Backa Topola Serbia Univ Pecs Fac Engn & Informat Dept Environm Engn Technol Pecs Hungary Univ Pecs Med Sch Inst Physiol Pecs Hungary

ISBN: (纸本)9781728195438

Mobile robot control mechanism required robust solution due to the wide range of movement possibilities and environmental extremums. The reproducibility analysis helps to identify the uncertainty related to movement scenario and measurement unit, such as Inertial Measurement Unit (IMU) sensor. In this paper the reproducibility of accelerometer and gyroscope sensor signals were evaluated on repeated robot movements, which were collected on two mobile robots: a hexapod robot during walking and a quadcopter drone robot during flying. The scenario time scale variability was diminished by dynamic time warping in case of drone robot. The standard deviation of variability from mean signal reach 29-50% compared to the standard deviation of the typical signal.

关键词： measurement uncertainty reproducibility mobile robot dynamic time warping

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Missing-Pattern-Aware-Based Multi-Model Imputation Method for Wastewater Treatment Process 13

Missing-Pattern-Aware-Based Multi-Model Imputation Method fo...

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13th ieee International Conference on CYBER Technology in automation, control, and Intelligent Systems, CYBER 2023

作者： Sun, Meiting Han, Honggui Li, Fangyu Beijing University of Technology Faculty of Information Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing100124 China

ISBN: (纸本)9798350315196

In wastewater treatment process (WWTP), data-based implement techniques ensure the stable operation and reduce energy consumption. Different missing patterns of missing values often occur due to some harsh environments and sensor failures. However, existing imputation methods are difficult to obtain satisfactory data for implementation techniques as they only consider a single missing pattern. To solve this problem, a missing-pattern-aware-based multi-model imputation method (MPAMI) is proposed. First, a missing pattern aware network combining the advantages of the encoder and the axial attention mechanism is designed to identify different missing patterns. The network employs the encoder to extract nonlinear feature representations and utilizes the axial attention mechanism to focus on the most informative differential features. Second, a hybrid multi-model imputation method based on the long short-term memory network and the denoising autoencoder is developed to recover missing values. The imputation method utilizes the spatiotemporal information of missing patterns to improve imputation performance. Finally, experiments are conducted on a real WWTP dataset to validate the imputation performance of the proposed MPAMI. © 2023 ieee.

关键词： Energy utilization

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Influence of a GRASP Initialization on the Performance of the Hybrid Genetic Search with Adaptive Diversity control

Influence of a GRASP Initialization on the Performance of th...

引用

ieee symposium Series on computational intelligence (ieee SSCI)

作者： do Rego, Alexander Fiabane Pozo, Aurora Univ Fed Parana Comp Sci Dept Curitiba Parana Brazil

ISBN: (纸本)9781728190488

The vehicle routing problem is an interesting and challenging combinatorial problem studied for over more than sixty years since the work of Dantzig and Ramser. Research has been devoted to this problem and its variants, generating many approaches based on metaheuristics. Among these, the Hybrid Genetic Search with an Adaptive Diversity control (HGSADC) stood as the state-of-the-art for many years. In this sense, this research presents a study on the impact analysis of a Greedy Randomized Adaptive Search Procedure (GRASP) to initialize the HGSADC in the Capacitated Vehicle Routing Problem (CVRP). Our initialization approach combines our GRASP with the efficient Split algorithm. The conducted experiments on the well-known Golden et al. (1998) and Uchoa et al. (2017) benchmark, and the results support that our approach has interesting points and outstanding results, improving 13 of 120 instances.

关键词： capacitated vehicle routing problem metaheuristic optimization hybrid genetic algorithm memetic algorithm greedy randomized adaptive search procedure impact analysis

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Harvesting End-effector Design and Picking control

Harvesting End-effector Design and Picking Control

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ieee symposium Series on computational intelligence (ieee SSCI)

作者： Mapes, Jonah Dai, Andong Xu, Yunjun Agehara, Shinsuke Univ Cent Florida Mech & Aerosp Engn Orlando FL 32816 USA Univ Florida Gulf Coast Res & Educ Ctr Wimauma FL USA

ISBN: (纸本)9781728190488

As an enabling technology in robotic harvesting, an end-effector requires precise positioning and picking without bruising strawberries or sabotaging strawberry beds. Here, an end-effector design with a spiral-curve tooth is presented, which can contain strawberries in a spherical shell before pulling them away from their stems. Visual feedback with a camera-in-hand configuration is used to identify strawberries of sufficient size and ripeness. A two-step estimation and control approach is proposed including aligning the end-effector with the target strawberries in the X and Y directions and then reaching them along the Z direction. Specifically, the control logic is designed to correct the depth error based on the changing rate of a strawberry diameter in the pixel frame. The unique feature of this approach is that it can precisely move the end-effector to the desired position regardless of the initial depth and size of the target. The end-effector, XYZ table, and control algorithm were extensively tested in an artificial strawberry bed and also partially experimented in a commercial farm.

关键词： harvesting precision agriculture vision servoing end-effector control

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Output Tracking control Based on Piecewise Multilinear Models for a Class of MIMO Discrete-Time Nonlinear Systems

Output Tracking Control Based on Piecewise Multilinear Model...

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ieee symposium Series on computational intelligence (ieee SSCI)

作者： Taniguchi, Tadanari Sugeno, Michio Tokai Univ STEM Educ Ctr Hiratsuka Kanagawa Japan Tokyo Inst Technol Tokyo Japan

ISBN: (纸本)9781728190488

Multi-input multi-output (MIMO) system controls are more difficult than single-input single-output (SISO) systems because any input change affects all outputs due to internal interference of MIMO systems. We proposed a regulator and output tracking controller for MIMO discrete-time nonlinear systems using piecewise multilinear (PML) system. The PML model is constructed using only the vertex values of piecewise hypercube regions. Input-output feedback linearization was used to transform each PML system into one linearized system represented by the Brunovsky canonical form. We showed that the proposed method was effective in some examples by computer simulations. The proposed design method can be applied to any nonlinear system whose relative degree is the same as the dimension of the state variable, and can control the wider regions of nonlinear control systems compared with conventional feedback linearization. Since the modeling is simple and independent of the characteristics of the system model, it may contribute to the realization of any nonlinear control system design.

关键词： piecewise system discrete-time nonlinear control multi-input multi-output nonlinear system feedback linearization

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Information model for the digital transformation of manufacturing systems in small and medium enterprises 25

Information model for the digital transformation of manufact...

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2022 ieee International Conference on automation/25th Congress of the Chilean Association of Automatic control, ICA-ACCA 2022

作者： William Gutierrez, M. Lopez, Jesus A. Ortiz, Jesus Hamilton Universidad Autónoma de Occidente Sennova Research Instructor The Sena National Learning Service Engineering Faculty Colombia National System of Science Technology and Innovation in Colombia of Colciencias Computational Intelligence Society of the Ieee Colombia Taylor and Francis-CRC Group

ISBN: (纸本)9781665494083

This article proposes the development of an information model that allows starting the digital transformation of a small or medium-sized company (SME) using the OPC UA protocol. The model is made up of a hardware component made up of the process plant and the control equipment, as well as a software component where the information model is *** an application case, the proposed information model is developed in a unit process plant, a filtration plant. The process carried out in this plant is through a filter to remove the solid particles present in the water used in the manufacturing process of a beverage. This plant can be integrated into a beverage and/or soft drink manufacturing system in a small *** information model is integrated into an OPC UA server, a programmable controller, mapping the process variables such as level, temperature flow, and energy consumption. The information of the technological elements that make up the filtration plant are: serial, manufacturer, and calibration dates: OPC UA clients request information from the OPC UA server and then they are sent through procedures (methods) defined in the server and consumed by the server. client, all this integrates the information *** foregoing shows the viability of the proposed © 2022 ieee.

关键词： Beverages

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A Multiple Ant Colony System for the Electric Vehicle Routing Problem with Time Windows

A Multiple Ant Colony System for the Electric Vehicle Routin...

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ieee symposium Series on computational intelligence (SSCI)

作者： Michalis Mavrovouniotis Georgios Ellinas Changhe Li Marios Polycarpou Department of Electrical and Computer Engineering KIOS Research and Innovation Center of Excellence University of Cyprus Nicosia Cyprus School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China

ISBN: (纸本)9781665487696

Ant colony optimization (ACO) has been found to be useful on several vehicle routing problem variations. In this work, ACO is applied to the electric vehicle routing problem with time windows (E-VRPTW). The E-VRPTW has a hierarchical multiple objective function, which is to minimize the number of electric vehicles and the total distance traveled. A multiple ACO is applied to E-VRPTW in which two colonies cooperate to minimize the objectives in parallel. A local search is embedded in ACO to improve the quality of the output. The experimental results on a set of benchmark instances show that the multiple ACO is competitive with existing methods.

关键词： Ant colony optimization Vehicle routing Benchmark testing Electric vehicles Routing Search problems Linear programming

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Piano Beginner: A Glove-based Finger Training VR Application

Piano Beginner: A Glove-based Finger Training VR Application

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2022 International symposium on control Engineering and Robotics, ISCER 2022

作者： Li, Ziyang Fan, Dongchuan Wang, Hong Lu, Zhiguo Liu, Chong Northeastern University Department of Mechanical Engineering and Automation Shenyang China

ISBN: (数字)9781665484787

ISBN: (纸本)9781665484787

It has been studied that playing piano can improve people's cognitive ability and intelligence level even delay the progress of brain aging because of complex and regular finger movements. In nowadays, more and more attention has been paid to finger training in children's intellectual development. In this research, we develop a virtual-reality (VR) application-Piano Beginner, which is a finger training system with auditory and visual feedback (AVFB), using data gloves. The results show independent movement recognition of each single finger and then playing music 'Happy New year' with multi-fingers. © 2022 ieee.

关键词： Virtual reality

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