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Hybrid seismic control methodology for smart highway bridge structures using evolutionary algorithms and replicator dynamic 11

Hybrid seismic control methodology for smart highway bridge ...

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11th international conference on Structural Health monitoring of intelligent Infrastructure, SHMII 2022

作者： Momeni, Zahrasadat Bagchi, Ashutosh Building Civil and Environmental Engineering Department Gina Cody School of Engineering and Computer Science Concordia University MontrealQCH3G 1M8 Canada

control algorithms are crucial for protection of civil engineering structures that are subjected to significant levels of the seismic or wind-induced vibration. intelligent adaptive control algorithms as data-driven methods have been developed in recent years as feasible alternatives to model-based control algorithms. Recently, evolutionary game theory-based and artificial intelligence-based models are gaining interest in the field of complex civil infrastructure control. In this paper, the modified version of the non-dominated sorting genetic algorithm or NSGA-II utilized and enhanced for obtaining the replicator dynamic parameters that represents the functions of an actuator or damper. The efficiency of such algorithms depends upon the accuracy of following three important parameters: total population of the potential solutions, growth rate, and the fitness function. The present algorithm based on NSGA-II has been used to obtain Pareto optimal values for replicator dynamic parameters, including total population of the potential solutions, growth rate, and the fitness function for each semi-active Magnetorheological (MR) damper considered here vibration control. Previously, the replicator dynamic controller was designed based on assigning the one value for the growth rate. However, the performance of the replicator dynamic controller improved in this study by determining the growth rate for each actuator. © 2022 international conference on Structural Health monitoring of intelligent Infrastructure: Transferring Research into Practice, SHMII. All rights reserved.

关键词： Multiobjective optimization

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Design of an intelligent computer Room Equipment Safety monitoring System Based on computer Vision

Design of an Intelligent Computer Room Equipment Safety Moni...

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international conference on Communication Systems and Network Technologies (CSNT)

作者： Yuya Qiao Fujian Normal University Fuqing Branch Fuqing Fujian China

ISBN: (数字)9798350305463

ISBN: (纸本)9798350305470

This article used OpenCV (Open Source computer Vision Library) to preprocess images, and then used positioning methods and horizontal and vertical projection methods to accurately locate the key information to be recognized. Then, convolutional neural networks were utilized to recognize and analyze the segmented images. Based on the characteristics of the layout and dynamic environmental monitoring of the computer room, the computer room equipment safety monitoring system designed in this article includes an environmental monitoring module, a power monitoring module, a security access control monitoring module, and an abnormal alarm module. The average current intensity in the sleep state was 2μA, 10 mA in the wake state, 110 mA in the send state, and 15 mA in the receive state. The computer room equipment safety monitoring system has increased the efficiency and quality of computer room operation and maintenance, improved the intelligence level of power communication room monitoring, and provided a reference for technical solutions for real-time monitoring of other power communication rooms.

关键词： Temperature sensors Access control Temperature distribution computer vision Image recognition Transmitters Humidity

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FRAMEWORK FOR ARTIFICIAL INTELLIGENCE BASED monitoring OF ENERGY AND WASTE MANAGEMENT USING MACHINE LEARNING APPROACH 4

FRAMEWORK FOR ARTIFICIAL INTELLIGENCE BASED MONITORING OF EN...

引用

4th international conference on distributed Sensing and intelligent Systems, ICDSIS 2023

作者： Khalaf, Osamah Ibrahim Pawar, A.B. William, P. Ogudo, Kingsley A. Department of Solar Al-Nahrain Research Center for Renewable Energy Al-Nahrain University Jadriya Baghdad Iraq Department of Computer Engineering Sanjivani College of Engineering Savitribai Phule Pune University Pune India Department of Information Technology Sanjivani College of Engineering Savitribai Phule Pune University Pune India Depending of Electrical and Electronics Engineering FEBE University of Johannesburg Johannesburg South Africa

ISBN: (纸本)9781839539954

This study examines how machine learning and artificial intelligence (AI) may be used to solve urgent worldwide issues with waste and energy management. It presents a thorough framework for employing AI technology to track and optimize trash production and energy use in residential communities. The framework reduces energy consumption and increases waste management efficiency by using sensors, data processing, predictive modelling, and real-time monitoring to enable data-driven decision-making. It emphasizes how AI has the power to transform conventional methods and usher in a more sustainable future. The study offers a cutting-edge framework for waste and energy management monitoring that is based on machine learning and provides real-time insights and forecasts to help with decision-making. Constant data analysis maximizes the use of resources, resulting in reduced costs, increased operational effectiveness, and advantages for sustainability. Although there are still obstacles to overcome, such as data security and upfront costs, this paradigm is an essential first step towards effective and accountable resource management. © The Institution of Engineering & Technology 2023.

关键词： Artificial Intelligence Energy Management environmental Preservation Machine Learning Resource Allocation Sustainability Waste Management

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Multi Rotor UAV monitoring System Based on Microservice 2

Multi Rotor UAV Monitoring System Based on Microservice

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2nd international conference on Mechanical Engineering, intelligent Manufacturing and Automation Technology, MEMAT 2022

作者： Han, ZhongHua Fa, DeYong Yang, LiYing Shan, Dan School of Information and Control Engineering Shenyang Jianzhu University Liaoning Shenyang110168 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China

ISBN: (纸本)9783800757619

With the increasingly extensive application of multi rotor UAV, multi rotor UAV's functions are increasing, multi rotor UAV's internal structure is becoming more and more complex, the scale of upper computer system is becoming larger and larger, and the probability of internal hardware failure of multi rotor UAV is also gradually increasing. The traditional multi rotor UAV system is not equipped with sensors. So it is unable to monitor multi rotor UAV's internal indicators and find faults in time. The upper computer system can't meet the requirements of rapid business changes and system performance. Therefore, this paper designs a multi rotor UAV monitoring system based on microservice. Multiple sensors are deployed inside the multi rotor UAV for real-time monitoring of various parameters and indicators inside the Multicopter UAV, and the data collected by the sensors are transmitted to the private cloud. The software system is divided into a group of low coupling micro services using the microservice, and multiple micro services are coordinated through event-driven mechanism to realize the distributed integration of various functions in the multi rotor UAV monitoring system. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Unmanned aerial vehicles (UAV)

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Application of environmental monitoring and control System in Agricultural Production 3

Application of Environmental Monitoring and Control System i...

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3rd international conference on computer Science and Management Technology, ICCSMT 2022

作者： Gu, Yuhang Hao, Yun Liu, Jiwei Zhonghuan Information College Department of Automation Engineering Tianjin University of Technology Tianjin300380 China Zhonghuan Information College Science and Technology Division Tianjin University of Technology Tianjin300380 China

ISBN: (纸本)9798350320404

China's agriculture is gradually moving from traditional agriculture to digital agriculture and smart agriculture. Accelerating the breakthrough of key agricultural core technologies and solidly promoting agricultural modernization are the key to the development of smart agriculture. intelligent monitoring of agricultural greenhouses is an important way to realize agricultural modernization. However, most of the existing greenhouses have backward management concepts, low industry development level, lack of a complete and standardized production management system, and low level of agricultural facilities leads to low resource utilization. In the process of agricultural production, it is difficult to scientifically monitor and analyze the indicators such as temperature, light and soil water content, and the application amount of various nutrients in the process of crop growth can not be accurately controlled, which affects the agricultural planting benefits. Based on this, the author designed an agricultural greenhouse monitoring system based on the Internet of things. The system uses STM32 as the main control chip and is connected with a series of sensors to monitor the environmental parameters in the greenhouse in real time and adjust the environmental parameters in the greenhouse in time, so as to achieve the set standards, adjust the growth cycle, improve quality and increase production. © 2022 IEEE.

关键词： Greenhouses

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Wireless Sensor Network based Anomaly Detection using SVM-RFE-MRMR 7

Wireless Sensor Network based Anomaly Detection using SVM-RF...

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7th international conference on intelligent Computing and control Systems, ICICCS 2023

作者： Sakthivel, S. Agalya, M. Sudha, R.V. Lathika, V. Selvi, P. Suriyapriya, N. Sona College of Technology Department of Computer Science and Engineering Tamilnadu Salem India Vivekananda College of Technology for Women Tiruchengode Department of Computer Science and Engineering Tamilnadu Namakkal India Vivekananda College of Technology for Women Tiruchengode Department of Information Technology Tamilnadu Namakkal India Computer Science and Engineering Jayam College of Engineering and Technology Tamilnadu Dharmapuri India Vivekananda College of Technology for Women Tiruchengode Department of Information Technology Namakkal India

ISBN: (纸本)9798350397253

There has been a meteoric rise in the use of wireless sensor networks (WSNs) in recent years. WSN's compact size and low cost are enticing many different industries to adopt them for use in a wide range of applications. There are several applications of IoT technology, including environmental monitoring, building security, and precision agriculture. Given that most WSNs are deployed in an unsupervised and potentially hostile environment, security risks are significant. To ensure the privacy of data during transmission from sensors to the base station, a number of methods have been proposed. The work in question is concerned with a crucial part of data and network security: detecting attacks. With the goal of preventing malicious attacks and maintaining the security of wireless sensor networks, anomaly detection has emerged as a significant obstacle. After the input is given, It consist of three phases such as preprocessing, Feature selection and training the model using SVM-RFE-MRMR. The SVMRFE-MRMR methodology is used for classification in the suggested method. While SVM-RFE takes feature-decision correlation into consideration, it does so by neglecting feature-feature relationships, MRMR is able to provide features with little redundancy and maximum relevance. Because of this SVM-RFE-MRMR is used to generate a set of features that is both minimal in redundancy and maximal in relevance. The proposed model produces an accuracy of about 98.6% when compared other models such as SVM and CNN. © 2023 IEEE.

关键词： Support vector machines

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Development of An Automated IoT-based Fish Tank Maintenance Assistive System 7

Development of An Automated IoT-based Fish Tank Maintenance ...

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7th international conference on intelligent Computing and control Systems, ICICCS 2023

作者： Theagarajan, Padma Padmanaban, Barath Palanisamy, Kishore Raja, Pavithra Poomagan, Praveenkumar Sona College of Technology Department of Computer Applications Salem India

ISBN: (纸本)9798350397253

The proposed prototype of a fish tank maintenance automation system intends to support aquarists in terms of easy up keep of the fish tank. Keeping a household fish tank is associated with significant health benefits including lessening stress, sleep quality improvement, lowered blood pressure, intense focus, and soothing effects for Alzheimer's patients, etc. A predominant part of keeping fish healthy is ensuring that their habitat remains healthy. As part of the routine maintenance of a fishtank some of the vital parameters that are to be keenly assessed are nitrate, nitrite, pH, carbonate hardness, salinity, etc. Since fish live in entirely diverse environments compared to humans and other pets, they are dependent on humans for all their necessities including food, water, and proper habitat. Fish tanks are relatively different from natural habitat since they are closed systems with a limited capacity of water. Thus, the entire process of the natural method of cleaning a water body has to be performed manually in the fish tank in addition to cleaning the wastes produced regularly by fish such as sediments, sludge, etc. Therefore, to ease aquarists towards maintaining fish tanks, this paper proposes an automation system using IoT technology and also guards environmental sustainability. If the observed data such as pH, temperature, and dissolved oxygen are beyond the threshold limits then the attached beeper will be aware of the aquarists to instant care of the fish tank. The live data is provided through a web-based application and Mobile app for real-time monitoring and decision-making. © 2023 IEEE.

关键词： Microcontrollers

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Design and simulation of intelligent orchard system based on Internet of Things 12

Design and simulation of intelligent orchard system based on...

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12th international conference on Information Technology in Medicine and Education, ITME 2022

作者： Xu, Li Xiaoning, Sun Zhipcng, Luo Huijuan, Xu Huanghuai University Dept. Intelligent Manufacturing ZhuMaDian China ZhuMaDian Vocational and Technical College Dept. Economic Management ZhuMaDian China Huanghuai University Dept. Computer and Artificial Intelligence ZhuMaDian China Henan International Joint Laboratory of Behavior Optimization Control for Smart Robots ZhuMaDian China

ISBN: (纸本)9798350310153

Based on the IVS simulation platform, the system uses IOT technology to monitor and control the environmental data onto greenhouse orchards for the purpose of orchard wisdom management. The system realizes the bi-directional function of manual remote as well as intelligent self-control through integrated sensors and wireless communication network, and optimizes through fuzzy control algorithm, PID algorithm and supervised learning algorithm to achieve the monitoring of data such as air temperature and humidity, soil temperature and humidity and carbon dioxide concentration in the park, so that the environment is always maintained in the range suitable for fruit tree growth. Finally, a QR code is added to each batch of fruits to build a traceability function of food safety. © 2022 IEEE.

关键词： Orchards

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An Overview of Data Aggregation Techniques with Special Sensing intelligent Device Selection Approaches 3rd

An Overview of Data Aggregation Techniques with Special Sens...

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3rd international conference on Data Science, Machine Learning and Applications, ICDSMLA 2021

作者： Nirmala, G. Guruprakash, C.D. Sri Siddhartha Academy of Higher Education Karnataka Tumakuru India Department of Computer Science and Engineering Sri Siddhartha Institute of Technology Karnataka Tumakuru India

ISBN: (纸本)9789811959356

The transfer of the data from one Sensing intelligent Device (SID) to the other sensing intelligent devices (SIDs). The transmission of data happens from one area to a different area in a Sensing intelligent Network (SIN). The data packets receiver is usually the destination control Center. Various applications of SIN are disaster monitoring, war plane detection and sending the environmental hazards information along with various other applications. Due to the constraints which are involved in SIN like low battery, low transmission range it is important to avoid duplication of data as well as collect the data from the SIDs in an intelligent fashion. Each SIN has huge number of SIDs and hence they transmit data which is similar in nature and hence this causes the SIDs to choke and become irrelevant SIDs over a period. The number of such chocking instances can be reduced in the SIN with the help of data aggregation, intelligent selection of centralized SID for a specific SIN area with the help of machine learning techniques. This paper lists out various data aggregation techniques which are available in the literature and how they can be used to improve the relevant ratio value for SIN. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Energy utilization

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Gaining Swarm Behavior through Establishing a control System and Communication Network on Unmanned Aerial Vehicles 10

Gaining Swarm Behavior through Establishing a Control System...

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10th international conference on Recent Advances in Air and Space Technologies (RAST)

作者： Bakirci, Murat Ozer, Muhammed Mirac Tarsus Univ Unmanned Intelligent Syst Lab Dept Aeronaut & Astronaut Mersin Turkiye

ISBN: (纸本)9798350323023

The aviation industry has been disrupted to a great extent, with unmanned aerial vehicles (UAVs) attracting great interest in both industry and academia in recent years. As technology continues to evolve, disruption has only continued to increase in size as it finds its place in a wide and diverse field covering both military and domestic fields. With indigenous practices such as search and rescue missions during disasters, environmental monitoring and surveillance, agriculture and farming, this disruption has shifted to a specialized technology, swarm UAVs. Communication is a critical component in swarm systems with the potential to distribute missions and coordinate the operation of many UAVs without operator intervention. In this study, a swarm architecture is proposed that will allow higher swarm autonomy and reliability by providing both reliable communication between swarm systems and the ground station, and communication between individual UAVs. The development of swarm UAVs with autonomous coordination capability with wireless ad hoc networks, an attractive solution for inter-UAV communication, is at the heart of improving the utility of UAV swarms. During the realization of this, the integrated communication architecture of the swarm UAVs, which combines both the long-range architectures offered by 900 MHz-based radios and the short-range architectures offered by 802.11-based ad-hoc networks, coexists. All these systems are implemented using the robot operating system (ROS), which allows it to be easily integrated into the capabilities of any distributed application.

关键词： swarm systems UAV communication network control architecture

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