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检索条件"任意字段=6th International Conference on Informatics in Control, Automation and Robotics"

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Comparison of Optimization Techniques for Process Recognition Using Deep Neural Network

Comparison of Optimization Techniques for Process Recognitio...

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Intl Conf on Advanced control Circuits Systems (ACCS) Systems & Intl Conf on New Paradigms in Electronics & Information Technology (PEIT)

作者： Zuzana Kepesiova Danica Rosinova Stefan Kozak Faculty of Electrical Engineering and Information Technology Slovak University of Technology in Bratislava Bratislava Slovakia Faculty of Informatics Pan-European University Bratislava Slovakia

ISBN: (数字)9781728163543

ISBN: (纸本)9781728163550

this paper brings the topic of comparison of optimization techniques using gradient descent, gradient descent with momentum, Adam and learning rate decay in combination with previous optimization algorithms for face recognition using deep neural network. this paper compares several settings of these techniques as well as techniques among themselves with combination of regularization techniques varying in using no regularization, L2 regularization and dropout to successfully recognize the sex of a person captured. the result of the evaluation is taken in a matter of successfully recognized face rate for train data and test data, cost and deep neural network learning time.

关键词： Cost function Training Face recognition Face Biological neural networks Data models

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H∞ Consensus in Linear Multi-Agent Systems with Event-Driven Approaches on Directed Topologies

H∞ Consensus in Linear Multi-Agent Systems with Event-Drive...

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international conference on Electronic Engineering and informatics (EEI)

作者： Yihang Weng Peixiong Su Tong Huang Xiaohang Chen Department of Electrical and Mechanical Engineering Jieyang Polytechnic Jieyang China

ISBN: (数字)9798350353594

ISBN: (纸本)9798350353600

Given the asymmetry inherent in system matrices due to directed communication topologies, a novel exponentially decaying event-driven control approach is raised to ensure robust $H_{\infty}$ consensus among linear Multi-Agent Systems (MASs), even in the presence of external disturbances within directed topologies. By leveraging controlled output and generalized algebraic connectivity within directed graphs, we transform the consensus challenge into an event-driven stabilization within the linear closed-loop system, effectively mitigating disturbances. We introduce dynamic variables alongside the relative state of neighboring agents at event intervals to formulate a dynamic event-driven control approach. the approach is complemented by the derivation of Linear Matrix Inequality (LMI) sufficient conditions, rigorously establishing the attainment of robust $H_{\infty}$ consensus. Subsequently, we streamline LMIs, significantly reducing computational overhead. the parameters governing the control approach are then fine-tuned through the solution of these decoupled LMIs. To validate our propositions, we conduct simulations, affirming the efficacy of our approach.

关键词： Sufficient conditions Computational modeling Directed graphs Transforms Aerodynamics Topology Linear matrix inequalities Closed loop systems informatics Multi-agent systems

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A 3-class Asynchronous BCI controlling A Simulated Mobile Robot

A 3-class Asynchronous BCI Controlling A Simulated Mobile Ro...

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29th Annual international conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2007), vol.6

作者： Tao Geng Matthew Dyson Chun S. L. Tsui John Q. Gan BCI Group Department Computer Science University of Essex Colchester UK

We present our design and online experiments of a 3-class asynchronous BCI controlling a simulated robot in an indoor environment. Two characteristics of our design have efficiently decreased the false positive rate during the NC (No control) mode. First, three one-vs-rest LDA classifiers are combined to control the switching between NC and IC (In control) mode. Second, the hierarchical structure of our controller allows the most reliable class (mental task) in a specific subject to play a dominant role in the robot control. A group of simple rules triggered by local sensor signals are designed for safety and obstacle avoidance in the NC mode. In online experiments, subjects successfully controlled the robot to circumnavigate obstacles and reach small targets in separate rooms.

关键词： Mobile robots Linear discriminant analysis Robot control control systems Robot sensing systems Electroencephalography robotics and automation Brain modeling Indoor environments Automatic control

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Researches about controlling Switching SF6 Circuit Breaker Transition Regime

Researches about Controlling Switching SF6 Circuit Breaker T...

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international conference on control, Mechatronics and automation (ICCMA)

作者： Dumitru Ciulica Manuela Panoiu Caius Panoiu Sergiu Mezinescu Informatics University Polytechnica Timisoara Hunedoara Romania

ISBN: (数字)9781728192109

ISBN: (纸本)9781728192116

A transient regime appears in the electrical power supply systems, when the power supply status changes from one state to another. this may occur if an electrical discharge causes the lightning to touch the ground in the vicinity of a high-voltage transmission line or when the lightning strikes the station directly. Most transient regimes occurring in the electrical power supply systems are the result of a switching action. Network breakers from different nodes of the electrical power supply network are interrupting high currents and create short-circuit currents which are flowing into the faulty parts of the system. the time period in which the voltages and currents transients are produced is in the range of microseconds to milliseconds. this paper proposes a software program that command the current interruption of the circuit breaker in order to occur at zero crossing current in a time interval of microseconds.

关键词： Transient analysis Switching circuits Circuit breakers Switches Matlab Temperature dependence Mathematical model

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Low-Cost Air Box Application for Indoor Environment Classification and LSTM Microclimate Prediction

Low-Cost Air Box Application for Indoor Environment Classifi...

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international conference on control and Robots (ICCR)

作者： Hu Hsun-Jui Chiu Yu-Hsien Yang Pei-Ching Master Degree Program in Information and Design Chang Jung Christian University Tainan Taiwan Department of Healthcare Administration and Medical Informatics Kaohsiung Medical University Kaohsiung Taiwan Artificial Intelligence Research Center Chang Jung Christian University Tainan Taiwan Department of Computer Science and Information Engineering Chang Jung Christian University Tainan Taiwan

ISBN: (数字)9798331518158

ISBN: (纸本)9798331518165

Air pollution is a significant issue because it burdens human health and the environment. Particulate matter with a diameter of 2.5 micrometers or smaller (PM2.5) can penetrate the lungs and enter the bloodstream, seriously affecting the cardiovascular system, causing strokes, and impacting the respiratory system. Modern individuals spend 70% to 90% of their time indoors, making indoor air quality even more important than outdoor air quality. To estimate and predict indoor air quality, this study utilizes low-cost, self-assembled air boxes based on the Internet of things to collect various air quality data. the collected data is then used in an indoor air quality forecasting system that combines Long Short-Term Memory (LSTM) and K-means clustering methods to compare the overall performance of the algorithms. the experimental results are analyzed and statistically described based on each model method prediction accuracy and clustering results. these methods are integrated to develop an indoor air quality forecasting system to help indoor populations prevent issues in advance or optimize energy usage.

关键词： Temperature measurement Temperature sensors Atmospheric modeling Predictive models Air quality Data models Forecasting Long short term memory Monitoring Indoor air quality

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Automatic Classification of Low-Angle Fuze-Quick Craters Using Deep Learning 6th

Automatic Classification of Low-Angle Fuze-Quick Craters Usi...

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6th international conference on Machine Learning, Optimization, and Data Science, LOD 2020

作者： Aji, Sani Kumam, Poom Siricharoen, Punnarai Bukar, Ali Maina 126 Pracha-Uthit Road Bang Mod Thrung Khru Bangkok10140 Thailand 126 Pracha-Uthit Road Bang Mod Thrung Khru Bangkok10140 Thailand Department of Mathematics Faculty of Science Gombe State University Gombe Nigeria 126 Pracha-Uthit Road Bang Mod Thrung Khru Bangkok10140 Thailand Centre for Visual Computing Faculty of Engineering and Informatics University of Bradford Bradford West Yorkshire United Kingdom

ISBN: (纸本)9783030645793

Crater Analysis is a technique used for precautionary and investigative purpose, especially in confirming suspected locations of hostile fire and detecting the presence of enemy ammunition. Specifically, investigators have manually examined terrain disturbances due to blast craters, which are evidently caused by artillery fire. Although this manual process has been helpful in the identification of possible origins of fire, it is tedious and prone to errors. With the recent advancements in the fields of computer vision and machine learning (ML), this work investigates the automation of low-angle fuze-quick craters (LaFCs) classification using satellite imagery of the Ukranian border obtained from google earth. Due to limited volume of available satellite images (of LaFCs), we hereby propose the use of off-the-shelf ImageNet pretrained models (Resnet50, Resnet101 and ResNet152) for the automatic classification of the LaFCs. thus, learned filters from these deep neural networks are used to extract features from the satellite images. these features are then fed into support vector machine (SVM) for classification. Promising results are obtained from our experiments, showing that it is possible to use ML to identify LaFCs. To the best of our knowledge, this is the first time classification of these type of craters has been investigated. © 2020, Springer Nature Switzerland AG.

关键词： Support vector machines

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Solar PV-Wind-Genset Hybrid Power Generation System for A Commercial Building in Remote Area

Solar PV-Wind-Genset Hybrid Power Generation System for A Co...

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international conference on Instrumentation control and automation (ICA)

作者： Ayu Laksmi Padmadewi Ema Widhi Pratiwi Burhanuddin Halimi School of Electrical Engineering and Informatics Electrical Power Engineering Bandung Institute of Technology Bandung Indonesia

Hybrid Power Generation Plant (in Bahasa: Pembangkit Listrik Tenaga Hibrida - PLth) provide more efficient, effective, and reliable solutions for electricity production to meet the community's energy needs. To assess the effectiveness of the Hybrid Power Plant (PLth) at guest houses on Matakus Island, modeling was conducted using the HOMER Pro software for planning and analysis simulations to determine the optimal configurations to meet the electricity needs. Based on the simulation results using Homer, if the guest house in Matakus requires 27 kWh of power on weekdays and 36.12 kWh on weekends, when relying solely on diesel fuel, the levelized cost of electricity (LCOE) value is Rp. 10,990, with CO2 emissions of 16,758 Kg/year and fuel consumption of 6,401 L/year, as well as a zero share of renewable energy (RE). If only the PV-wind turbine configuration is used, the LCOE value is Rp. 7,467, with no CO2 emissions per year because fuel oil is not used, resulting in a 100% share of renewable energy (RE). the PV-Wind Turbine-Genset configuration has an LCOE value of Rp. 4,562, which is cheaper than the other two configurations, with CO2 emissions of 1,441 Kg/year, fuel consumption of 550 L/year, and an RE share of 85.3%.

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Implementation of Motion Cueing and Motor Position control for Vehicle Simulator with 4-DOF-Platform

Implementation of Motion Cueing and Motor Position Control f...

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international conference on Electric Vehicular Technology (ICEVT)

作者： Achmad Indra Aulia Monika Faswia Fahmi Hilwadi Hindersah Arief Syaichu Rohman Egi Muhammad Idris Hidayat School of Electrical Engineering and Informatics nstitut Teknologi Bandung (ITB) Bandung Indonesia

Vehicle simulator is used for various purposes, mainly driver training and vehicle model test. One of the most important part of vehicle simulator is motion simulator which simulates the vehicle motion. this part makes the user feel the motion sensation given by the real vehicle even though the user is in the simulator platform. the motion simulator itself consists of several subsystems : user interface, dynamic model calculation, motion cueing, and platform control system. this paper explains the implementation and its result of designed motion cueing and the motor position control which is a part of platform control system. the design is implemented on vehicle simulator in Institut Teknologi Bandung which has 4 degrees of freedom for its motion (pitch, roll, sway, and surge). the implemented motion cueing algorithm (MCA) is model predictive control (MPC), an optimization-based motion cueing algorithm. Sliding mode control (SMC) with saturation function is implemented for position control of the motor to solve nonlinear load torque disturbance which appear from a static behaviour when the platform rotates on pitch motion. From the motion cueing result, it can be inferred that MPC-based MCA can track the motion sensation of the real vehicle, especially for the surge and sway motion. For pitch and roll sensation, reference signals with lower frequency yield worse results compared to the signals with higher frequency ones. Meanwhile, from the motor position control result, it can be concluded that SMC with saturation function can track the position reference according to the calculation of motion cueing.

关键词： Position control Predictive control control nonlinearities Motion control Nonlinear control systems Optimization Vehicle dynamics

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An MOEA/D-ACO Algorithm with Finite Pheromone Weights for Bi-objective TTP 6th

An MOEA/D-ACO Algorithm with Finite Pheromone Weights for Bi...

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6th international conference on Data Mining and Big Data, DMBD 2021

作者： Yang, Lei Jia, Xiaotian Xu, Rui Cao, Jiale College of Mathematics and Informatics South China Agricultural University Guangzhou510642 China Guangdong Provincial Key Laboratory of Food Quality and Safety South China Agricultural University Guangzhou510642 China

ISBN: (纸本)9789811674754

the Travelling thief Problem is a complex logistics planning problem composed of the Travelling Salesman Problem and the Knapsack Problem. the Bi-objective TTP needs to optimize the two goals of the time spent on the journey and the total value of the item picked up. there are two dimensions to be considered in the solution space, which is more difficult to deal with. the original solution method has some limitations. this paper proposes a MOEA/D-ACO algorithm based on finite pheromone weights, which constructs distance-related weights when pheromone weights are initialized and adjusts the weights to improve the effect and efficiency of the ant’s search path. then a new weighted Tchebycheff aggregation method was designed. By adjusting the parameters to control the proportion of the two aggregation methods, the advantages of weighted sum method and Tchebycheff aggregation method are integrated to improve the quality of the algorithm. then we introduced the method of dynamic adjustment of ant neighbor number and adaptive mutation operator to improve the convergence speed and the quality of the solution. the experiment result indicates that our algorithm has competitive performance comparing with the well-known optimization algorithms GA£¬ISA, ISA-Local, and NSGA-II on Bi-objective TTP benchmark datasets. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Traveling salesman problem

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Parkinson’s disease patients classification based on a motion tracking methodology 3rd

Parkinson’s disease patients classification based on a moti...

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3rd international conference on Biomedical and Health informatics, ICBHI 2017

作者： Polychronidou, Eleftheria Segkouli, Sofia Kalamaras, Elias Papadopoulos, Stavros Drosou, Anastasios Votis, Konstantinos Bostantjopoulou, Sevasti Katsarou, Zoe Papaxanthis, Charalambos Hatzitaki, Vassilia Moschonas, Panagiotis Tzovaras, Dimitrios Information Technologies Institute Centre for Research and Technology Hellas 6th km Harilaou – Therm Thessaloniki Greece Department of Neurology Aristotle University of Thessaloniki Thessaloniki Greece UFR STAPS Universit de Bourgogne Campus Universitaire Dijon France Department of Physical Education and Sports Sciences Aristotle University of Thessaloniki Thessaloniki Greece

ISBN: (纸本)9789811074189

this study demonstrates how a computer based methodology for tracking motor abilities of Parkinson’s disease can be utilized for patient classification and assessment of the Parkinson’s disease severity. the Line Test methodology evaluates the impaired voluntary movement and generates a set of features that describe the motion. A total cohort of 6 control subjects and 37 Parkinson’s disease subjects were recruited and assessed for the test. During the test, a vertical line appears on the screen and the device evaluates patient’s performance by producing features that correlate the motion to the last medication dosage, the line-test position, the line-test reaction time and the line-test total error. A common cohort of 24 Parkinson’s disease subjects (patients that carried out the Line Test more than once) was formed to track the features alterations between repetitions in time. Results evaluation was performed in both cohorts based on information visualization methodology, optimized for the multi-objective dataset. the line-test position and the time from the last medication dosage features were proved to present the major relation to patients’ group formation. Additionally, line-test reaction time and the line-test total error features proved significant between patients’ performance in the common cohort. Study limitations are correlated to the size of the cohort and the time frame of the study. In general, the current practice supports further investigation into using Line Test methodology for addressing Parkinson’s disease severity. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Classification (of information)

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