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Secure Smart Devices control with Low Power Consumption 3

Secure Smart Devices Control with Low Power Consumption

引用

3rd international conference on Advancement in Electronics and communication Engineering, AECE 2023

作者： Goel, Neha Bhatia, Sandeep Rana, Priya Raj Kumar Goel Institute of Technology Department of Electronics and Communication Engineering Ghaziabad India School of Computing Science and Engineering Galgotias University Greater Noida Uttar Pradesh India Raj Kumar Goel Institute of Technology Department of Information Technology Ghaziabad India

ISBN: (纸本)9798350330724

This research paper aims to develop a Secure Smart Devices control system, emphasizing low power consumption for improved energy efficiency and battery life. The system uses a Bluetooth module for wireless communication, an Arduino Uno for system control, and a relay module for device control. The literature review highlights the importance of researching low power consumption techniques in this field. The technique describes the Bluetooth home automation system's hardware parts and software configuration. The Arduino Uno acts as the central controller, connected to a Bluetooth module for wireless communication. Device power supply is controlled by a relay module, facilitating seamless automation. To achieve low power consumption, the Arduino can enter a low-power sleep mode during idle periods, effectively reducing energy usage. The results demonstrate successful Bluetooth connections with external devices and reliable control functionality. The system significantly decreases energy usage when compared to conventional systems, resulting in enhanced energy efficiency and battery life. These findings have practical implications for Secure Smart Devices control with Low Power Consumption in residential settings. Future research directions include investigating advanced power management techniques and integrating renewable energy sources to further enhance energy efficiency and sustainability. © 2023 IEEE.

关键词： Energy efficiency

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An Industrial Private 5G Testbed for Networked automation Systems

An Industrial Private 5G Testbed for Networked Automation Sy...

引用

IEEE/ASME international conference on Advanced Intelligent Mechatronics (AIM)

作者： Geng, Jing Kashef (Hany), Mohamed Candell, Richard NIST Smart Connected Syst Div Gaithersburg MD 20899 USA

ISBN: (纸本)9798350355376;9798350355369

Interest in integrating wireless communication capabilities into industrial Cyber-Physical Systems (CPS) has surged recently. Driven by advantages like ease of deployment, reduced maintenance costs, and asset mobility, CPSs now employ wireless communication for manufacturing control, logistics tracking, process control, and heavy machinery management. While wireless technologies such as IEEE 802.11, 5G cellular networks, and redundant IEEE 802.15.4 networks offer possible solutions, the challenge to the adoption of these solutions for control systems lies in ensuring reliable and deterministic data delivery. Software-based private 5G implementations emerge as an intriguing solution, offering architectural flexibility, potential cost-effectiveness, and adaptability for diverse traffic types. We present a novel software-based 5G industrial wireless testbed with precision wireless channel measurement and control to support measurement-based research in the application of private 5G networks to these operational scenarios.

关键词： Industrial Wireless 5G cyber-physical systems testbed

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Application and Optimization of Robot Systems in Industrial Production Line 2

Application and Optimization of Robot Systems in Industrial ...

引用

2nd international conference on Inventive computing and Informatics (ICICI)

作者： Tan, Min Liu, Zhenlai Wang, Peng Chongqing Aerosp Polytech Chongqing 400021 Peoples R China

ISBN: (纸本)9798350373301;9798350373295

This study focuses on the application and optimization of robotic systems in industrial production lines, with the overall goal of increasing manufacturing efficiency and streamlining process automation. A pioneering vision-based methodology for industrial robot sensing is presented, which enables precise control mechanisms through improved environmental data acquisition. In addition, a comprehensive methodology is presented for optimizing robot control at the physical level, thereby improving overall system efficiency and performance. By combining insights from an exhaustive review of related literature with innovative methodologies, this study makes a significant contribution to advancing the integration of robotic systems in industrial production lines. The experimental platform established for the visual target recognition and grasping system of industrial robots has undergone rigorous testing involving various objects commonly encountered in industrial environments. The results showed remarkable success rates in grasping various objects, with certain objects achieving perfect success rates of 100% over multiple trials. In particular, the bottle and small box showed exceptional performance, with a perfect success rate across all trials. Conversely, some objects had comparatively lower success rates due to factors such as shape complexity or surface texture. These empirical results highlights the effectiveness of proposed methods in facilitating reliable object recognition and gripping in industrial production lines.

关键词： Robotics Industrial automation Production optimization Manufacturing efficiency Process automation

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Application of Artificial Intelligence in Digital Forensic Readiness Using Intelligence Reports 10

Application of Artificial Intelligence in Digital Forensic R...

引用

10th international conference on control, Decision and Information Technologies (CoDIT)

作者： Hungwe, T. Venter, H. Sefako Makgatho Hlth Sci Univ Dept Comp Sci & Informat Technol Pretoria South Africa Univ Pretoria Dept Comp Sci Pretoria South Africa

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981;9798350373974

Many organizations have published yearly reports on cloud security threat intelligence. These reports have shown a drastic increase in security attacks on cloud computing services. Such reports end up gathering dust without exploiting the reports' usefulness due to their sheer size. The threats have to be analysed timeously to provide and anticipate solutions before further security attacks occur. With the increase in cloud computing usage, there has been an increase in security breaches. The cloud also adds to an aspect of volatility in provisioning of services and at the edge components availability. Incidents which have already been captured in incidents reports can be used to conduct digital forensic investigations (DFIs). For DFI process to be conducted, there is need for the environment to be prepared beforehand, thus, to say, the environment such as the cloud, should be digital forensics ready (DFRy). Digital forensics readiness (DFR) assists by providing a proactive way for DFI process to be conducted. Artificial intelligence (AI) applications assist in the processing of security incidence reports. This paper proposed the use of un-supervised learning techniques in the field of AI by exploring security threat intelligence reports. AI algorithms are used in the automated analysis of large and complex datasets in intelligence reports thus greatly accelerating the prediction of security incidents in order to provide DFR to the computing environment and anticipated responses for the reduction of security incidents.

关键词： automation Digital forensics Clustering algorithms Organizations Prediction algorithms Security Stakeholders Artificial intelligence Information technology Unsupervised learning

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Real-Time Supply Chain Management using automation and Big Data in the Cloud 15

Real-Time Supply Chain Management using Automation and Big D...

引用

15th international conference on computing communication and Networking Technologies, ICCCNT 2024

作者： Saxena, Shweta Kukreja, Mansi Ingle, Anup Thangamani, A. Sharma, Rajeev Murugeswari, S. Amity university madhya pradesh Amity business school Madhya pradesh gwalior India Karnataka Bangalore India Vishwakarma Institute of Information Technology E&tc Pune India Karpagam Academy of Higher Education Department of Chemistry Coimbatore641021 India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Ece India

ISBN: (纸本)9798350370249

Businesses need to compete with the demands of a volatile market at limited downtime. The more automated and extensive the data I get, the more significant the level that both are essential parts of what helps the supply chain become effective. automation is for swift and accurate execution of everyday tasks to ensure error-free handling and speed and agility in your service. Alternatively, big data analytics give them deep insights into their supply chain operations to help in real-time decision-making. The Cloud is the perfect real-time supply chain management platform, providing scalability, flexibility, and cost benefits. Through automation and by harnessing cloud-based big data, businesses can gain real-time visibility into their supply chain landscape to help streamline operations - both within the organization and if there are changes or discrepancies between demand vs. supply streams. This results in higher productivity, lower costs, and better customer satisfaction. Simply put, businesses need to be able to compete in the ever-growing demand for real-time supply chain management facilitated through cloud-based automation and big data solutions. © 2024 IEEE.

关键词： automation Businesses Management Organization Productivity

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On computing and real-time communication performance of containerized virtual PLCs 20

On computing and real-time communication performance of cont...

引用

20th international conference on Factory communication Systems (WFCS)

作者： Gaffurini, Massimiliano Bellagente, Paolo Depari, Alessandro Flammini, Alessandra Brandao, Dennis Rinaldi, Stefano Sisinni, Emiliano Ferrari, Paolo Univ Brescia Dept Informat Engn Brescia Italy

ISBN: (纸本)9798350319347;9798350319354

The Industry 4.0 has led to a significant transformation in manufacturing and industrial processes, characterized by increased connectivity and widespread digitalization. This revolution is driven by the convergence of IT (Information Technology) paradigms with OT (Operational Technology) domains. Virtualization technology plays a crucial role in this integration, thanks to its characteristics of agility, scalability, and efficiency. This work investigates the virtualization of Programmable Logic controllers (PLCs) and it is focused on the need for evaluating their performance. PLCs are essential components of industrial automation and are being virtualized to increase flexibility, reduce hardware dependencies, and enable seamless integration with IT infrastructures. This work proposes a methodology for evaluating the execution time of a benchmark program and the PLC real-time behavior. Experiments on a real use case demonstrate that the PLCs implemented in containers may be 50 times faster than the real ones in executing data elaboration, while no significant differences were observed in real-time communication. In any case, virtual PLCs are characterized by greater jitter with respect to real PLCs.

关键词： virtual PLCs lightweight virtualization container PROFINET

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Conveyor based Kinetic Energy Conservation using Dynamo-Driven Rollers 3

Conveyor based Kinetic Energy Conservation using Dynamo-Driv...

引用

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

作者： Malini, A. Hema Logesh, K.S. Babu, B. Praveen Dept. of Electronics and Communication Engineering Saveetha Engineering College Chennai India

ISBN: (纸本)9798331532420

This research study proposes a novel approach for sustainable energy generation by integrating the mechanical energy of conveyor belt rollers in industrial settings. By integrating dynamos with the existing conveyor system, the continuous rotational motion can be converted into electrical energy through electromagnetic induction. The proposed approach offers a sustainable and cost-effective solution for powering auxiliary equipment within industrial facilities, such as thermal power plants. The paper investigates the feasibility of this system, considering factors such as dynamo voltage output, torque requirements, and power storage options. Theoretical calculations are presented to estimate the potential power generation based on conveyor belt operation. This innovative approach demonstrates the potential of leveraging existing industrial infrastructure for sustainable energy generation, contributing to a greener and more sustainable future. © 2024 IEEE.

关键词： Rollers (machine components)

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2025 international conference on control, automation, and Instrumentation, IC2AI 2025

2025 International Conference on Control, Automation, and In...

引用

2025 international conference on control, automation, and Instrumentation, IC2AI 2025

ISBN: (纸本)9798331529604

The proceedings contain 37 papers. The topics discussed include: enhanced control of an inverted cart-pendulum system using cascade pd controller optimized with genetic algorithm;adaptive pure pursuit with deviation model regulation for trajectory tracking in small-scale racecars;sigma delta ADC for automated selection of staples in gastric sleeve surgery;hybrid attention-based residual network for image classification;advising and scheduling tool based on electrical power engineering concepts;enhancing epidemic early warning systems with social media data;an analog hardware neural network-based classifier for robot manipulation;lightweight AI algorithms for energy-efficient signal fusion, real-time event detection, and adaptive filtering in heterogeneous IoT environments;and challenge of evolution to cloud-based control systems with aging industrial device communication protocols.

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A Lossless-Ethernet-based interconnect for FPGA clusters toward FTQC

A Lossless-Ethernet-based interconnect for FPGA clusters tow...

引用

2024 international conference on Cluster computing

作者： Higa, Yoshito Osana, Yasunori Kumamoto Univ Grad Sch Sci & Technol Kumamoto Japan

ISBN: (纸本)9798350383461;9798350383454

FTQC (Fault-Tolerant Quantum computing) requires quantum error correction processing, and our research group aims to realize quantum error correction using an FPGA cluster. The cluster requires a high-speed and low-latency interconnection network among FPGAs. RoCE (RDMA over Converged Ethernet), which prevents frame loss by appropriate flow control and achieves high performance and reliability, is becoming popular in data centers. Our research group aims to implement lossless Ethernet transport between FPGAs to realize a lossless and low-latency interconnection network for FPGA clusters. We observed and analyzed RDMA flow control between Linux hosts as the preliminary study, and we confirmed that flow control is performed using ECN (Explicit Congestion Notification) under congestion. This paper describes the prospects for implementing flow control in the send/receive module of UDP communication for Ultrascale+ FPGA, based on the results of this analysis.

关键词： Lossless Ethernet FPGA cluster Congestion control

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FPGA-Based Motor control Systems for Industrial automation 5

FPGA-Based Motor Control Systems for Industrial Automation

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5th international conference on Sustainable communication Networks and Application, ICSCNA 2024

作者： Vaithianathan, Muthukumaran Udkar, Shivakumar Roy, Deepanjan Reddy, Manjunath Rajasekaran, Senkadir Samsung Semiconductor Inc. San Diego United States AMD Inc. CO United States NVIDIA Corporation Inc. TX United States Qualcomm Inc. San Diego United States

ISBN: (纸本)9798331530013

This study delineates the procedures for the development and execution of a motor control system for industrial automation that employs FPGAs. The objective is to overcome the constraints of conventional systems that depend on digital signal processors and microcontrollers. Scalability, accuracy, and the parallel processing capabilities of FPGAs are all incorporated into the proposed system, which operates multiple actuators in real time. The motor's position, current, and speed are regulated by an FPGA-implemented Proportional-Integral-Derivative (PID) algorithm, while a high-resolution Pulse Width Modulation (PWM) generator is employed for precise speed control. The system architecture is engineered to respond with minimal latency and provide real-time feedback, thereby enabling it to manage intricate industrial automation processes. The experimental results indicate that the FPGA-based system outperforms conventional control systems in terms of power consumption, control accuracy, and latency reduction. © 2024 IEEE.

关键词： Two term control systems

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