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检索条件"任意字段=International Conference on Measurement and Modeling of Computer Systems"

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LSTM based Soft-Sensor for Estimating Nitrate Concentration in Aquaponics pond 3

LSTM based Soft-Sensor for Estimating Nitrate Concentration ...

引用

3rd international conference for Innovation in Technology, INOCON 2024

作者： Dharshan, A. Kumar, Purushottam Ravimaran, S. Srinivasulu Reddy, U. Saranathan College of Engineering Department of Artificial Intelligence and Data Science Trichy India National Institute of Technology Artificial Intelligence Machine Learning & Data Analytics Lab Trichy India National Institute of Technology Department of Computer Applications Machine Learning & Data Analytics Lab Trichy India

ISBN: (纸本)9798350381931

In the field of aquaponics, where fish and plants coexist in a symbiotic environment, closely monitoring nitrate levels in the water is crucial due to their profound impact on aquatic and plant well-being. Traditional nitrate measurement methods are often time-consuming and costly. Various approaches, including first principles, IoT-based sensors, and machine learning-based soft sensors, have been attempted to address this challenge. However, these efforts face challenges such as expensive sensors, infrequent data collection, multistage data processing using limited sensor types, and the need for regular maintenance like cleaning and calibration. Additionally, varied environmental conditions affect sensor suitability for different water environments, and even some machine learning-based soft sensors have proven inaccurate. In response, soft sensors, especially deep learning-based ones, have gained prominence in industrial applications for their adaptability and accuracy. These sensors provide real-time insights into complex processes without requiring expensive hardware. In this study, an innovative solution was introduced using Long Short-Term Memory (LSTM) technology, a neural network architecture in deep learning known for capturing complex temporal patterns. LSTM is well-suited for modeling and predicting nitrate concentration changes in aquaponics, trained with extensive data collected from various aquaponic ponds. Through rigorous evaluation, a remarkable MSE value of 0.00074 and an impressive R-squared score of 0.98 were achieved, holding potential for scaling up to commercial applications, benefiting aquaponics operations, supporting researchers, and enhancing sustainability and productivity in aquaponic systems. © 2024 IEEE.

关键词： Nitrates

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Integration of Scpi over Vxi-11 Protocols in an Automated Gas Sensing measurement System 6th

Integration of Scpi over Vxi-11 Protocols in an Automated Ga...

引用

6th international conference on Nanotechnologies and Biomedical Engineering, ICNBME 2023

作者： Sereacov, Alexandr Technical University of Moldova Chisinau Moldova

ISBN: (纸本)9783031427817

Gas sensing plays a crucial role in numerous applications, such as environmental monitoring, industrial safety, and healthcare. Semiconductor oxide nanostructured sensors have emerged as promising candidates due to their high sensitivity and low cost. However, the accurate and efficient characterization of their gas sensing properties remains a challenge. In this article, we present an automated measurement system that combines a source meter device for executing measurements and a software platform for user interface, signal visualization, and data storage. The system enables both transient measurements in time and volt-ampere characteristics measurements of the sensors. The software platform provides a user-friendly interface for configuring measurement parameters, initiating measurements, and visualizing real-time sensor responses. The acquired data is processed, analyzed, and stored in the network file storage for further examination. A comparison with existing systems based on LabVIEW or MATLAB highlights the advantages of the proposed measurement system, such as improved flexibility, scalability, and ease of integration with different source meter devices. The system’s modular architecture opens the way for advanced data analysis and modeling. Our approach enhances the speed, reliability, and repeatability of gas sensing characterization. The described measurement system offers researchers an effective and customizable tool for gas sensing analysis, facilitating scientific advancements in this field. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： MATLAB

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Image Encryption using Fractional Singular Chaotic systems: An Extended Kalman Filtering Approach

Image Encryption using Fractional Singular Chaotic Systems: ...

引用

2022 IEEE international conference on Electrical, computer, and Energy Technologies, ICECET 2022

作者： Nosrati, K. Belikov, J. Tepljakov, A. Petlenkov, E. Tallinn University of Technology Department of Computer Systems Tallinn Estonia Tallinn University of Technology Department of Software Science Tallinn Estonia

ISBN: (数字)9781665470872

ISBN: (纸本)9781665470872

Modern and complex dynamical modeling requires effective and precise state estimation techniques to make the system modes available for control actions without expensive measurement tools. By proposing a reliable Kalman-type estimation algorithm in this study, we aim to synchronize a chaotic fractional order singular (FOS) system which introduces some important information related to memory effects and interconnection properties. Then, the proposed algorithm is used to a secure communication framework, and an image-based cryptography algorithm is provided, in which the main image is well-masked by chaotic FOS signals and is successfully decrypted from the estimated chaotic states in receiver side. Furthermore, the performance of the suggested encryption scheme are demonstrated using histograms, pixel correlation, and key space analyses. © 2022 IEEE.

关键词： Chaotic systems

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Data- and Activity-Centric Business Process modeling: An Approach Based on Business Units 25th

Data- and Activity-Centric Business Process Modeling: An Ap...

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25th international conference on Web Information systems Engineering, WISE 2024

作者： Maamar, Zakaria Benna, Amel Burégio, Vanilson Lopes, Wictor Hafsi, Amal Ben Njima, Cheima Guegan, Chirine Ghedira University of Doha for Science and Technology Doha Qatar Research Center for Scientific and Technical Information Algiers Algeria Federal Rural University of Pernambuco Recife Brazil Higher Institute of Computer Science and Communication Technologies Sousse Tunisia IAE - Lyon 3 University Lyon France

ISBN: (纸本)9789819605781

This paper presents the concept of business unit to model business processes. A business unit’s main strength is that it represents resources like personnel and time that business processes consume at run-time. Due to concerns of resource scarcity and unavailability, their consumption is controlled using policies expressed in Open Digital Rights Language (ODRL) in this paper. In addition to policies, ODRL integrates permission, prohibition, and obligation rules that define how, when, where, and by whom resources are consumed. Parsing resources’ ODRL policies results in extracting the necessary business units that are the future building blocks of business processes. The technical doability of business unit-based modeling of business processes is also demonstrated in the paper using a Large-Language-Model (LLM). © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Business process Business unit LLM ODRL Resource

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Credit Scoring Using Machine Learning Algorithms and Blockchain Technology 1

Credit Scoring Using Machine Learning Algorithms and Blockch...

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1st international conference of Intelligent Methods, systems and Applications, IMSA 2023

作者： Kotb, Mariam Ossama Faculty of Computer Science Giza Egypt

ISBN: (纸本)9798350335569

Credit scoring is a critical function in the banking industry, helping to assess borrowers' creditworthiness and mitigate lending risks. Traditional credit scoring systems based on centralized storage have limitations in terms of transparency, security, and susceptibility to manipulation. This paper proposes different approaches to credit scoring that combines the strengths of various machine learning algorithms, including logistic regression, XGBoost, LightGBM, AdaBoost and RGF. Additionally, it explores the use of blockchain technology and decentralized finance (DeFi) systems to enhance the security and decentralization of the credit rating system. The study utilizes a blockchain dataset sourced from Aave's smart contracts and employs cross-validation and ensemble modeling techniques to evaluate the performance of the models. The results demonstrate the effectiveness of the proposed approach, with the Random Forest model achieving the highest accuracy in predicting credit scores. This has the ability for improving access to credit and enhancing trust and transparency in lending decisions. © 2023 IEEE.

关键词： Blockchain

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A Comparative Analysis of Goal-Oriented Requirements Engineering and Model-Based systems Engineering Frameworks for Managing Requirements of systems of systems 25

A Comparative Analysis of Goal-Oriented Requirements Enginee...

引用

25th international Arab conference on Information Technology, ACIT 2024

作者： Alhajhassan, Suhair Murrar, Samer Samhan, Ahmad Odeh, Mohammed Elrashidi, Ali Applied Science Private University Software Engineering Department Amman Jordan Applied Science Private University Computer Science Department Amman Jordan Zarqa University Software Engineering Department Zarqa Jordan Global Academy for Digital Health Bristol United Kingdom University of Business and Technology Department of Electrical Engineering Jeddah Saudi Arabia

ISBN: (纸本)9798331540012

Goal-oriented requirements engineering (GORE) for systems of systems (SoS) includes combining individual operational systems local goals to achieve higher-level goals. GORE offers a structured approach to managing complex requirements, ensuring that strategic goals are translated into operational tasks. This paper provides a review of GORE frameworks, including those incorporating Model-Based systems Engineering (MBSE), that could be used in the management of complex systems of systems. The paper analyzes recent GORE frameworks such as CGS4Adaptation which combines Goals and SysML for managing adaptive Socio-Cyber-Physical systems (SCPSs);GORE-based approach to Energy Management systems (EnMS);Model-Based and Goal-Oriented Approach for the conceptual design of smart grid services;GORE and reference architecture approach for microgrid systems;and Adaptation-Oriented Requirement modeling approach (ADORE). A comparative analysis is conducted to assess the extent of effectiveness these frameworks provide for improving SoS traceability, adaptability, and system design integrity. The paper concludes with key findings on the strengths and limitations of the considered frameworks, on the basis of which, major conclusions on how GORE combined with MBSE can be used for managing SoS requirements in Smart Grid (SG) and socio-cyber-physical systems could be drawn. This review paper also contributes to the requirements engineering domain by outlining effective strategies for designing and managing complex, adaptive systems of systems. © 2024 IEEE.

关键词： Conceptual design

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Portable Multiparameter Biomedical Sensor Fusion for Home Healthcare 2

Portable Multiparameter Biomedical Sensor Fusion for Home He...

引用

2nd international conference on Recent Trends in Microelectronics, Automation, Computing, and Communications systems, ICMACC 2024

作者： Vidyasagar, K.E.Ch Manchikanti, Venkata Jaideep Datta Kanduri, Harika Saikia, Manob Jyoti University of Memphis Biomedical Sensors and Systems Lab MemphisTN38152 United States Osmania University Department of Biomedical Engineering Hyderabad500007 India University of Memphis Electrical and Computer Engineering Department MemphisTN38152 United States

ISBN: (纸本)9798350366570

The ever-increasing focus on preventative healthcare and remote patient monitoring has driven the need for innovative solutions. Traditionally, measuring vital signs in both clinical and home settings has relied on a collection of individual devices, often leading to cluttered setups, patient discomfort, and potential inaccuracies due to user error. This paper proposes a multi-parameter acquisition system designed to address these limitations. The system integrates the measurement of essential parameters into a single, user-friendly device. This streamlined approach not only reduces measurement complexity but also improves patient comfort by eliminating the need for multiple devices and cumbersome wires. The design of the system, including its sensors, hardware components, and data processing unit is presented in detail. The device serves a dual purpose. Firstly, it empowers individuals at home by providing them with a single device to monitor their vital signs. Secondly, for hospitals, the device offers a streamlined and less cumbersome way to visualize essential patient parameters, allowing for improved monitoring efficiency. © 2024 IEEE.

关键词： Remote patient monitoring

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Analysis of Overvoltages in Power systems Due to Lightning Strikes: On the Effects of the Line modeling Approach and Frequency-Dependent Soil Properties 59

Analysis of Overvoltages in Power Systems Due to Lightning S...

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59th international Universities Power Engineering conference, UPEC 2024

作者： Garbelim Pascoalato, Taina Fernanda De Azevedo, Walter Luiz Manzi De Araujo, Anderson Rircardo Justo Martins-Britto, Amauri Gutierrez Kurokawa, Sergio Filho, Jose Pissolato Department of Electrical Engineering Ilha Solteira Brazil School of Electrical and Computer Eng. University of Campinas-UNICAMP Campinas Brazil School of Engineering Cardiff University Cardiff United Kingdom Department of Electrical Engineering Brasília Brazil

ISBN: (纸本)9798350379730

This article presents a comparison considering a more conservative modeling approach (classical) and a more realistic modeling approach (enhanced) for the transient analysis of the overvoltages resulting from lightning strikes in a power system. The classical modeling approach considers JMarti's line model where the ground-return impedance is calculated with Carson's approach assuming frequency-constant (FC) soil conductivity and neglecting the relative permittivity of the soil and the ground-return admittance. For the improved modeling approach, the universal line model (ULM) is used as a line model, incorporating the frequency-dependent (FD) soil parameters and the ground-return impedance and admittance calculated with Nakagawa's equations. This study considers the main components of the power system, such as transmission lines and tower structures with their tower-footing grounding systems. For this analysis, a 138-kV transmission line is subjected to a lightning strike, assuming a homogeneous ground with five different values of soil resistivity (300, 600, 1,000, 2,000, and 4,000Ω.m). The simulation results demonstrate a significant difference in the overvoltage waveforms obtained with the enhanced modeling approach compared to the classical modeling approach, mainly in their peak values. These differences in the overvoltage waveforms are more pronounced for high-resistivity soils. The correct computation of the lightning overvoltage is crucial for designing the adequate insulation level of several components for OHTL and substations, providing safety to operating personnel as well as people in the vicinity of these installations, and computing the backflashover rate. © 2024 IEEE.

关键词： Electromagnetic transients

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Agent Architecture for Evacuation Pedestrian's Crowded Public Places: Combination of Individual and Collaborative Reasoning 1

Agent Architecture for Evacuation Pedestrian's Crowded Publi...

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1st IEEE international conference on Advances in Data-Driven Analytics and Intelligent systems, ADACIS 2023

作者： Abdallah, Wejden Kanzari, Dalel Madani, Kurosh Laria Laboratory University of Manouba National School of Computer Sciences Tunisia University of Sousse Higher Institute of Applied Sciences and Technology Tunisia Lissi Ea 3956 Laboratory Senart Institute of Technology Lieusaint France

ISBN: (纸本)9798350344158

A major problem in a crowd evacuation is rescuing frightened and trapped people. This paper presents a decision-making process based on a combination of individual and social collaborative reasoning to evacuate people during a crowd evacuation. Specifically, we propose to evacuate crowds by modeling the social behaviors of multi-agent systems. In this context, collaborative reasoning contributes to finding data on emergency exits. Collaborative reasoning allows agents to exchange information and reach an agreement to exit quickly and safely. Experimental results showed that collaborative reasoning combined with individual reasoning has a great impact on the final decision and can lead to a successful evacuation with a percentage of 90. © 2023 IEEE.

关键词： Multi agent systems

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Robust Speech Processing with Fuzzy Logic-Driven Anti-Spoofing Techniques

Robust Speech Processing with Fuzzy Logic-Driven Anti-Spoofi...

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2023 international conference on Self Sustainable Artificial Intelligence systems, ICSSAS 2023

作者： Rashmi, M. Yogeesh, N. Girija, D.K. William, P. Faculty in Computer Science GFGC T. Dasarahalli Karnataka Bengaluru India Government First Grade College Karnataka Tumkur572102 India Government First Grade College Karnataka Madhugiri India Sanjivani College of Engineering Savitribai Phule Pune University Department of Information Technology Pune India

ISBN: (纸本)9798350300857

Speech processing applications, such as speaker verification and voice authentication systems, face the challenge of spoof attacks, where adversaries attempt to deceive the system using fake speech signals. This research study proposes a robust speech processing approach using fuzzy logic-driven anti-spoofing techniques. The study explores the adaptability of fuzzy logic in modeling speech patterns and detecting spoof attempts effectively. Experimental evaluations demonstrate the superiority of the proposed method in countering spoof attacks, providing enhanced security and accuracy in speech-based authentication systems. © 2023 IEEE.

关键词： Fuzzy logic

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