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8th IEEE international conference on computing, Communication, control and automation, ICCUBEA 2024

作者： Usmani, Usman Ahmad Sulaiman, Suliana Watada, Junzo Universiti Pendidikan Sultan Idris Perak Tanjong Malim35900 Malaysia Waseda University Tokyo Shinjuku City169-8050 Japan

ISBN: (纸本)9798350391770

This conference paper delves into the transformative synergy of Environmental computing, Agricultural Engineering, and Artificial Intelligence (AI) to forge sustainable ICT applications in agriculture. By amalgamating these domains, the paper unravels how AI-driven insights are harnessed to optimize resource allocation, mitigate environmental impact, and empower precision farming practices. This fusion not only enhances agricultural productivity and efficiency but also lays the foundation for ecologically mindful agricultural activities. The integration of AI further enriches Agricultural Engineering's potential by enabling data-driven decision-making through sensor data analysis, satellite imagery, and climate models, thus fostering resilience and productivity across the agricultural value chain. In sum, this exploration underscores the pivotal role of AI in shaping a sustainable future for ICT applications in agriculture through the harmonious interplay of Environmental computing and Agricultural Engineering. © 2024 IEEE.

关键词： Agricultural Engineering Artificial Intelligence (AI) Environmental computing Precision farming practices Sustainable ICT applications

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Embedded database SQLite application based on ARM platform

Embedded database SQLite application based on ARM platform

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2024 international conference on automation control, Algorithm, and Intelligent Bionics, ACAIB 2024

作者： Yong, Wan China Coal Technology and Engineering Group Chongqing Research Institute Chongqing400039 China State Key Laboratory of Gas Disaster Monitoring and Emergency Technology Chongqing400037 China

ISBN: (纸本)9781510682597

This paper discusses the theory of embedded database SQLite and its application development on ARM platform, analyzes the characteristics of embedded database in detail, and expounds the architecture of embedded database on this basis. Based on the analysis of SQLite's architecture, powerful function, simple interface, fast speed, small space and other features, this paper introduces its development technology and the method of SQLite configuration and transplantation on ARM platform, and explains its application process with examples. © 2024 SPIE.

关键词： Databases Operating systems Embedded systems Data storage computing systems Data communications Computer architecture Data processing

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Deep Learning Based Soft Sensors in process Industry and Application 9

Deep Learning Based Soft Sensors in Process Industry and App...

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9th international conference on Smart computing and Communications, ICSCC 2023

作者： Neethu, A.M. Ajayan, K.K. College of Engineering Trivandrum Department of Electronics and Communication Trivandrum India

ISBN: (纸本)9798350314090

Industries can profit from automation by increasing rate of production and decreasing errors, improving safety and stabilising the manufacturing process. High levels of profitability, dependability and safety come with industrial automation. Machine learning(ML) has a place in the field of industrial automation because it makes it easier to monitor and maintain industrial machines. The pursuit of automating industrial procedures in all currently possible ways is intimately related to rational industrial development. Recent advancements in industrial automation have reduced the cost of hardware and energy use. Soft sensors provide numerous advantages including adaptability and affordability. Due to their accuracy and durability, deep learning(DL) algorithms are well known for the construction of soft sensors in difficult non-linear *** application of soft sensor for industrial automation is presented in this paper i.e, design of a soft sensor based on Deep Neural Network(DNN) for metabolic growth control of bioprocess in industry. © 2023 IEEE.

关键词： Profitability

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Intelligent Fire Detection and Response System with Dynamic Nozzle control and Evacuation Planning 3

Intelligent Fire Detection and Response System with Dynamic ...

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3rd international conference on automation, computing and Renewable Systems, ICACRS 2024

作者： Manorathna, A.Y.S. Gayashan, Sachintha W.K. Tharushika, W.A.V. Rathnayaka, R.M.S.T. Weerasinghe, Lokesha De Zoysa, Revoni Faculty of Computing Sri Lanka Institute of Information Technology Malabe Sri Lanka

ISBN: (纸本)9798331532420

The intelligent fire detection and response system integrates three key components: Fire Type Identification, Fire Tracking, and Dynamic Nozzle control. The Fire Identification component uses a multi-sensor setup (temperature, smoke, and gas sensors) and machine learning models to classify fire types into categories A, B, and C. The Fire Tracking component combines realtime video monitoring and temperature sensors to predict and visualize fire spread dynamically. Dynamic Nozzle control adjusts water pressure and nozzle angles based on fire severity, ensuring precise and efficient suppression. This integrated approach enhances fire management by ensuring accurate detection and targeted suppression. © 2024 IEEE.

关键词： Fires

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ORGANIZATION OF MIXED-CRITICAL computing SYSTEMS FOR control OF MULTI-OPERATIONAL TECHNOLOGICAL SYSTEMS 24

ORGANIZATION OF MIXED-CRITICAL COMPUTING SYSTEMS FOR CONTROL...

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24th international Multidisciplinary Scientific Geoconference: Informatics, Geoinformatics and Remote Sensing, SGEM 2024

作者： Pinkevich, Vasiliy Kluchev, Arkady Platunov, Alexey Kluchev, Vladislav ITMO University Russia

ISBN: (纸本)9786197603743

automation of complex technological and laboratory systems requires the creation of specialized mixed-critical computing systems. They must control the technological process at several levels (control subsystem) and maintain the user interface with technological data management (information subsystem). So, they execute tasks with significantly different criticality. Also, it is assumed that the development of physical components, the implementation and configuration of the control subsystem at different stages of the life cycle is carried out by applied specialists (industrial engineers, servicemen, end-users), not professional computer and software engineers. In this article we propose and justify the architecture of the automation platform and computing systems for such technological and laboratory systems. For efficient control of customized technological process, it is necessary to partition it to several levels from primitive operations to batch execution of hundreds and thousands of tasks, each including thousands of primitive operations. The methods of partitioning are proposed with an emphasis on finding a balance between flexibility and difficulty of configuration. The ways of further expanding of the platform are proposed through the introduction of alternative and more advanced algorithms for solving non-trivial technological process control issues, for example, dynamic process planning. Solutions of instrumental issues related to the creation and support of specialized programming/configuration languages, compilers, and virtual machines throughout the entire life cycle of the platform are proposed. © 2024 international Multidisciplinary Scientific Geoconference. All rights reserved.

关键词： Program compilers

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Efficiency of artificial intelligence automatic control system and data processing unit based on edge computing technology

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international JOURNAL OF EMERGING ELECTRIC POWER SYSTEMS 2023年第4期24卷 519-528页

作者： Gao, Chen Xian Univ Sch Mech & Mat Engn Xian 710065 Shaanxi Peoples R China

Edge computing gateway automation system is integrated in edge computing gateway. One of the main functions of edge computing system is to connect industrial instruments and communication equipment in the process of industrial production. It provides real-time data monitoring and analysis, and initiates responses to predetermined logical events. The operation process includes separating and designing different processes in a certain order. The production and processing process is susceptible to problems such as long production and processing cycles, multiple types of monitoring data, large amounts of processing data, and data vulnerability to external interference, which leads to inaccurate and unsynchronized data. Based on this, this article investigated the analysis of data processing systems based on cloud computing, focusing on analyzing the system architecture and processing, and elaborating the design of data collectors. Then, this article analyzed the efficiency of AI (artificial intelligence) automatic control system and data processing unit. This article discussed the application of AI in collecting and processing data, the composition of the data management module of AI automatic control system, and the data processing in the data module of AI automatic control system. This paper also described the construction method and process of the automatic control system of edge computing gateway, and discussed from the following aspects: data preprocessing module, data classification processing module, data accumulation analysis module, automatic control algorithm logic module, and instruction execution control module. Experiments and investigations showed that the accuracy of data analysis by using the new AI automatic control system and data processing system was 0.11 higher than that of traditional automatic control systems and data processing systems. The data processing effectiveness of the new AI automatic control system and data processing system was 0.10 hi

关键词： AI automatic control system edge computing technology efficiency of data processing unit frequency domain feature data algorithm

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A Unified Framework for Structural - Temporal Coherence in Graph Neural Networks for Data-Driven Fault Identification 28

A Unified Framework for Structural - Temporal Coherence in G...

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28th international conference on System Theory control and computing

作者： Spyridon, Plakias Boutalis, Yiannis S. Democritus Univ Thrace Dept Elect & Comp Engn Xanthi 67100 Greece

ISBN: (纸本)9798350364309;9798350364293

In modern industrial systems, accurate fault identification is crucial for the early isolation of broken parts and for further system restoration. Furthermore, data-driven machine learning applications gain popularity because of the increased availability of sensor data and their effectiveness. Graph neural networks, which are neural processes that operate on graph-structured data, are ideal for representing non-Euclidean data captured from multiple sensors. In the current paper, we benefit from the representation ability of graph structures through the presentation of a novel neural graph model that utilizes residual connections and leverages the spatial structure of the graph and the local information of graph nodes. Adaptive structural information and temporal knowledge insight can be integrated by the suggested graph neural framework. The latter is accomplished by feeding the temporal encoding of the graph nodes into a spectral graph neural network for training. Simulation results on the widely used fault identification benchmark of the Tennessee Eastman industrial chemical process verify that the proposed method outperforms competitive machine learning methods and state-of-the-art graph neural models, strengthens graph neural network training, and can be used to accurately identify faults in real industrial scenarios.

关键词： Fault Identification Graph Neural Networks Tennessee Eastman process Temporal Encoding

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The design of image low-pass filter ASIC architecture based on stochastic computing 4

The design of image low-pass filter ASIC architecture based ...

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4th international conference on Mechanical, Electronics, and Electrical and automation control, METMS 2024

作者： Zhao, Xueru He, Guoqiang Ge, Kejun School of Overseas Education Changzhou University Gehu Rd Jiangsu Province Changzhou China Jiangsu Huachuang Microsystem Company Limited Building C Tengfei Building No.88 Jiangmiao Road Jiangsu Province Nanjing China

ISBN: (数字)9781510679887

ISBN: (纸本)9781510679870

The image low-pass filter is an effective solution for denoising and improving image quality. The stochastic computing is a novel method for number representation and calculation in stochastic domain. Aiming at the problem of large computing resources and low operation speed in image low-pass filter processing, in this paper, a parallel ASIC architecture of image low-pass filter based on stochastic computing proposed, which effectively improves processing speed and reduces resource consumption. When the length of the probability domain is 128bits, compared with the traditional architecture, the computational gate resources are reduced by about 30% and the execution time is reduced by about 75% in the case of comparable processing performance. © 2024 SPIE.

关键词： Low pass filters

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Architectural Elements of Decentralized process Management Systems 22nd

Architectural Elements of Decentralized Process Management S...

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22nd international conference on Service Oriented computing

作者： Grunert, Kai Shoferi, Janis Joderi Gold, Lucas Rieder, Wolf Kuepper, Axel Tech Univ Berlin Serv Ctr Networking Berlin Germany

ISBN: (纸本)9789819608041;9789819608058

In a decentralized process Management System, several process engines cooperate to execute a single process instance by using direct Machine-to-Machine communication and local coordination of the process flow. In this paper, we analyze the software architecture elements of a decentralized process Management System. We explain the involved components, connectors, data, and the relationships between them. We also describe the state transitions of decentralized processes during execution.

关键词： decentralized process Management System Distributed process Engines Distributed and Heterogeneous Workflow Enactment Service Business process Management System process automation process Execution System process Engine

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Almost sure ISS and iISS for randomly switched time-varying systems with time-delays 9

Almost sure ISS and iISS for randomly switched time-varying ...

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9th international conference on automation, control and Robotics Engineering (CACRE)

作者： Liu, Qian He, Yong Dong, Kaifeng China Univ Geosci Sch Automat Wuhan Peoples R China

ISBN: (纸本)9798350350319;9798350350302

This paper delves into almost sure input-to-state stability (ISS) and almost sure integral input-to-state stability (iISS) of randomly switched time-varying systems with time-delays. We provide definitions for almost sure ISS and almost sure iISS, underlining their necessity with an example that shows the disparity between pth moment ISS and almost sure ISS. Following this, we derive criteria for almost sure ISS and almost sure iISS based on indefinite multiple Lyapunov functions and Razumikhin technique. Notably, these criteria give time-varying stability estimators which do not require subsystems to maintain ISS or iISS throughout the entire time interval. Finally, the effectiveness and advantages of our results are demonstrated through a numerical example.

关键词： nonlinear time-varying systems switched systems delayed systems random process input-to-state stability integral input-to-state stability

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