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Artificial Intelligence Enabled IOT System for Football Identification in a Football Match 14th

Artificial Intelligence Enabled IOT System for Football Iden...

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12th international Advanced Computing conference, IACC 2022

作者： Singh, Mahesh Kumar Singh, Akhilesh Kumar Singh, Pushpendra Kalpana Rishi, Om Prkash Department of Computer Science ABES Engineering College Ghaziabad201009 India Department of Computer Science and Engineering Jaypee Institute of Information Technology Noida India Department of Information Technology GL Bajaj Institute of Technology and Management Uttar Pradesh Gr Noida201306 India Department of Information Technology Raj Kumar Goel Institute of Technology Uttar Pradesh Ghaziabad201003 India Department of Computer Science Informatics University of Kota Rajasthan Kota324010 India

ISBN: (纸本)9783031356438

Due to growth of AI enabled IOT devices, their use in sports feature identification can be beneficial in terms of recognition quality. Computer Vision is a powerful tool for moving object recognition and tracking. Football identification and recognition problem can be implemented using OpenCV libraries with the help of a programming language like Java, Python etc. OpenCV has special modules that contain specific algorithms and features for moving object recognition and tracking. Internet of things provides a way to connect hardware components through software implementation. In the proposed model the automatic camera module has been implemented through IoT with the help of a servo motor and raspberry pi. the main aim of this paper is to automate the work of a cameraman in a football match by automatically tracking and recognizing the football and broadcasting it with the help of an automatic camera. the initial loss was about 1749, and after 1600+ epochs iterations, the loss reduced to 0.09 in the final model. © 2023, Springer Nature Switzerland AG.

关键词： Cameras

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Development of a Wireless Semi-Autonomous Gas Contaminant Detection Robot Using Raspberry Pi 13

Development of a Wireless Semi-Autonomous Gas Contaminant De...

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2021 IEEE 13th international conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2021

作者： Meris, Paolo Rafael V. Manuel, Mark Christian E. Agustin, Gian Marko C. Bernal, Chris Dane B. Cruz, Jennifer C. Dela Tud, Roderick C. Mapúa University School of Mechanical and Manufacturing Engineering 2 Manila Philippines Mapúa University School of Electrical Electronics and Computer Engineering Manila Philippines

ISBN: (纸本)9781665401678

this paper presents the development of a robot that can be controlled semi-autonomously and has the capability to detect toxic and combustible gases. the purpose of this research is to develop a semi-autonomous robot that can detect gases that are harmful to human workers. the robot is designed to be able to function properly with little human intervention. It has the ability to detect specified types of gases inside a confined space and move on its own to cover the specified operating area. the study is composed of component designing, programming, calibration, development of the user interface, fabrication, initial gas concentration test, mobility tests, and actual tests. the design of this robot is an improvement of the previous model. the mobility and semi-autonomous function of the robot is programmed using Raspberry Pi microcomputer and the sensors are programmed using the Arduino microcontroller. the gases that the robot can detect are alcohol (C2H6O), benzene (C6H6), hydrogen (H2), carbon monoxide (CO), LPG, and methane (CH4). the sensors that were used are MQ3 for alcohol and benzene, MQ7 for hydrogen and carbon monoxide, and MQ9 for methane and LPG. the results of the tests showed that the robot can operate semi-autonomously and in an omnidirectional manner easily. the actual testing procedures were done inside a confined parking area, printing shop, and LPG storage area. © 2021 IEEE.

关键词： Carbon monoxide

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Design and Implementation of Congestion-Control Strategy for LEO Satellite Based on NS3

Design and Implementation of Congestion-Control Strategy for...

引用

international conference on Computer and Communications (ICCC)

作者： Jinling Chen Cheng Wang Xiaoyan Zhao Jianfei Tong Weidong Wang School of Electronic Engineering Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781665409513

As a branch of the simulation field, network simulation technology is increasingly becoming a powerful tool for analysis, research and design. In recent years, the Network Simulator 3 (NS3) simulator has made significant progress with its rich network component object library and relatively perfect bottom-level programming modelling. However, most of the current research on NS3 is based on the existing algorithms for differentiation and comparative analysis, lacking the open-source platform design, the training means of satellite communication system simulation and research on the overall platform building framework based on NS3. this article proposes a complete congestion-control open-source platform construction strategy for Low Earth Orbit (LEO) satellite. the top-level building process of the satellite simulation platform is introduced in detail, and the bottom layer is modularized into four parts to achieve. the NS3 top-level frame realization process and the bottom-level network element unit are modularized to build a complete satellite model simulation platform. It provides some ideas for promoting the development of satellite routing algorithm simulation experiments.

关键词： Training Analytical models Satellites Buildings Low earth orbit satellites Routing Routing protocols

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Electronic Nose for detecting Acetone as a Potential Precursor in Triacetone Triperoxide (TATP)-based Improvised Explosive Devices (IEDs) 2020

Electronic Nose for detecting Acetone as a Potential Precurs...

引用

12th international conference on Computer and Automation engineering (ICCAE)

作者： Yumang, Analyn N. Paglinawan, Arnold C. Sebastian Andres, Johann Jerome De Leon, Renz Christian Dela Cruz, Jon Kyle Floresta, Christian Mapua Univ Sch EECE Muralla St Manila Philippines

ISBN: (纸本)9781450376785

the paper aims to fabricate an electronic nose for detecting volatile organic compounds (VOCs) emitted by acetone as a potential precursor of Triacetone Triperoxide (TATP) using Artificial Neural Network (ANN) and Principal component Analysis (PCA). Specifically, it aims to build an array of sensors aided with Raspberry Pi and Python programming language to implement the necessary algorithms, together with the documentation of gathered information to conclude the effectiveness of the system. ANN is used for pattern recognition and classification, while PCA is for feature reduction and extraction. Sensors are selected by PCA through dimension reduction of signals obtained, which resulted to sensors MQ8, MQ136, MQ7 having the highest retained information of 83.07%, 8.79% and 7.27%. the classifier was trained by feeding acetone with varying concentrations from 5% to 100% with their corresponding expected classifications that resulted to 0.02% of training error. Using a Confusion matrix, accuracy was determined which assesses the classification between the E-nose and expected classification of commercial products. this study concludes that the fabrication of E-nose with PCA and ANN algorithms produces promising results of classifying acetone as a potential TATP precursor, with an overall accuracy of 87.88%.

关键词： Electronic Nose Triacetone Triperoxide Artificial Neural Network Principal component Analysis Acetone Gas Sensors

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Validation of an Optimized Resilient Water Supply System 4th

Validation of an Optimized Resilient Water Supply System

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4th international conference on Uncertainty in Mechanical engineering, ICUME 2021

作者： Müller, Tim M. Schmitt, Andreas Leise, Philipp Meck, Tobias Altherr, Lena C. Pelz, Peter F. Pfetsch, Marc E. Chair of Fluid Systems Department of Mechanical Engineering TU Darmstadt Darmstadt Germany Discrete Optimization Group Department of Mathematics TU Darmstadt Darmstadt Germany Faculty of Energy Building Services and Environmental Engineering Münster University of Applied Sciences Münster Germany

ISBN: (纸本)9783030772550

component failures within water supply systems can lead to significant performance losses. One way to address these losses is the explicit anticipation of failures within the design process. We consider a water supply system for high-rise buildings, where pump failures are the most likely failure scenarios. We explicitly consider these failures within an early design stage which leads to a more resilient system, i.e., a system which is able to operate under a predefined number of arbitrary pump failures. We use a mathematical optimization approach to compute such a resilient design. this is based on a multi-stage model for topology optimization, which can be described by a system of nonlinear inequalities and integrality constraints. Such a model has to be both computationally tractable and to represent the real-world system accurately. We therefore validate the algorithmic solutions using experiments on a scaled test rig for high-rise buildings. the test rig allows for an arbitrary connection of pumps to reproduce scaled versions of booster station designs for high-rise buildings. We experimentally verify the applicability of the presented optimization model and that the proposed resilience properties are also fulfilled in real systems. © 2021, the Author(s).

关键词： High-rise Mixed-integer nonlinear programming Optimization Resilience Validation Water distribution system

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Multi-objective Model and Algorithm for Vehicle Modal Driving Cycles

Multi-objective Model and Algorithm for Vehicle Modal Drivin...

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international conference on Information Science and Control engineering (ICISCE)

作者： Xinyan Wang Bo Li Tianjiao Li School of Engineering Tibet University Lhasa China

Microtrips are the key in driving cycle, and the base for constructing a driving cycle. For the construction of a modal driving cycle, the study firstly used principal component analysis to reduce the dimensions of the index data of microtrips, then a multi-objective optimization model was established with the goal of minimizing the deviation between the feature of the vehicle modal driving cycle and the actual vehicle operating feature. the non-dominated sorting genetic algorithm-II (NSGA-II) was designed to save the optimization model. Based on the correlation test of actual data, the designed method can obtain highly representative solutions.

关键词： Dimensionality reduction Analytical models Information science Linear programming Data models Indexes Optimization

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A Mathematical programming Model for Radiotherapy Scheduling with Time Windows 1

引用

4th international conference on Health Care Systems engineering, HCSE 2019

作者： Vieira, Bruno Demirtas, Derya Kamer, Jeroen B. van de Hans, Erwin W. Rosseau, Louis-Martin Lahrichi, Nadia Harten, Wim H. van University of Twente Enschede Netherlands Department of Radiation Oncology Netherlands Cancer Institute Amsterdam Netherlands University of Twente Enschede Netherlands Mathematics and Industrial Engineering Polytechnique Montreal Montreal Canada Rijnstate General Hospital Arnhem Netherlands

ISBN: (数字)9783030396947

ISBN: (纸本)9783030396930

In external-beam radiotherapy (RT), high-energy radiation beams are delivered by a linear accelerator in a series of irradiation sessions undertaken over multiple days. In this work, we consider the problem of scheduling and sequencing RT sessions considering time window preferences given by patients for the starting time of their appointments. Most studies in the literature focus on assigning patients to linacs and days, neglecting the sequencing component, and existing sequencing algorithms are only able to solve the problem using approximation methods due to the intractability of the formulated models. We propose a mixed-integer linear programming model and test it using data from a large Dutch RT center. Results show that the problem can be solved in reasonable computation time for real-world size instances using our model. © 2020, Springer Nature Switzerland AG.

关键词： Scheduling

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Development of a Wireless Semi-Autonomous Gas Contaminant Detection Robot Using Raspberry Pi

Development of a Wireless Semi-Autonomous Gas Contaminant De...

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international conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)

作者： Paolo Rafael V. Meris Mark Christian E. Manuel Gian Marko C. Agustin Chris Dane B. Bernal Jennifer C. Dela Cruz Roderick C. Tud School of Mechanical and Manufacturing Engineering 2 Mapúa University Manila Philippines School of Electrical Electronics and Computer Engineering Mapúa University Manila Philippines

ISBN: (纸本)9781665401685

关键词： Wireless communication Methane Wireless sensor networks Hydrogen User interfaces Robot sensing systems Sensors

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Linear programming by delayed column generation for bounds on reliability of larger systems 13

Linear programming by delayed column generation for bounds o...

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13th international conference on Applications of Statistics and Probability in Civil engineering, ICASP 2019

作者： Byun, Ji-Eun Song, Junho Dept. of Civil and Environmental Engineering Seoul National University Seoul Korea Republic of

In various efforts to secure the resilience of community, accurate reliability analysis of civil systems is critical considering their pivotal functions. As such systems generally consist of multiple components, their reliability analysis requires complete information to construct joint probabilistic distributions of component events, which is rarely available in practice. In order to obtain the best estimates on the system reliability based on the available information, the linear programming (LP) bounds method was proposed (Song and Der Kiureghian 2003).the method obtains bounds on system reliability by solving LP problems constructed by decomposing the event space into mutually exclusive and collectively exhaustive (MECE) events. Despite the optimality and flexibility of the LP bounds method, there is a limitation in the size of systems as the number of MECE events increases exponentially in regards to that of component events. In order to address this issue, this paper develops an alternative LP bounds formulation by employing delayed column generation, in which the LP is solved as an iteration of smaller binary integer programming (BIP). the BIP can be formulated by Boolean algebra that represents the inclusion relationships between component events, system event, and constraint events. the proposed formulation requires polynomial memory in regards to the number of constraints, allowing the evaluation of the LP bounds for larger systems and changing the major bottleneck from the number of components to that of constraint events incorporated into the LP. Four numerical examples are provided to illustrate and demonstrate the proposed method. © 13th international conference on Applications of Statistics and Probability in Civil engineering, ICASP 2019. All rights reserved.

关键词： Linear programming

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System reconfiguration of large-scale control systems using back-up actuators

System reconfiguration of large-scale control systems using ...

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international conference on Control, Decision and Information Technologies (CoDIT)

作者： Carlos Trapiello Vicenç Puig Gabriela Cembrano Research Center for Supervision Safety and Automatic Control (CS2AC) Universitat Politècnica de Catalunya (UPC) Spain CSIC-UPC Institut de Robòtica i Informàtica Industrial Barcelona Spain

ISBN: (数字)9781728159539

ISBN: (纸本)9781728159546

the intrinsic redundancy of large-scale control systems allows to differentiate between the nominal system configuration, where the dynamics of the plant are controlled through a specific subset of actuators, and the possible configurations that arise from the combination of all the existing actuators (nominal plus back-up ones). After the occurrence of an unexpected event (component fault, isolation of a specific area due to security concerns, etc), some of the back-up system actuators can be used in order to guarantee that the system performance will remain within some admissible margins. thus, given a scenario that causes a non-admissible system operation with the nominal configuration, the possibility to use back-up actuators in order to improve the system performance expands the traditional fault tolerant control scenario defining a new problem. Accordingly, this work is devoted to the introduction of the problem which is solved by formulating the actuator selection as a mixed-integer programming optimization. A water distribution network is used with the aim to illustrate the new problem implications as well as to demonstrate the validity of the proposed solution.

关键词： Actuators System performance Optimization Mathematical model Redundancy Maintenance engineering Information technology

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