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Innovations in Communications, Electrical and Computer Engineering (ICICEC), International conference on

作者： G Roopini Nagraj Rao P P Dankan Gowda V Balaji Shesharao Ingole Shatrudhan Pandey S Hema Chandra Department of Electronics and Communication and Engineering Sri Venkatesa Perumal College of Engineering and Technology Andhra Pradesh India Department of Electronics and Communication Engineering BMS Institute of Technology and Management Bangalore Karnataka India GA USA Marwadi University Research Center Faculty of Management Studies Marwadi University Rajkot Gujarat India Department of EEE School of Engineering Mohan Babu University Tirupati Andhra Pradesh India

ISBN: (数字)9798350376517

ISBN: (纸本)9798350376524

IoT based machine learning solution formulated in this paper aims to enhance the real time accident analysis and prevention for vehicles. The IoT sensors interface with advanced deep learning models and the cloud computing system to form a real-time analytics system that acknowledges the data gathered by the sensors, assesses existing risks of accidents, and provides actions that can be taken to prevent them. Energy is one of the main characteristics implemented, where sleep scheduling and adaptive data transmission is used to maximize the battery life of battery driven IoT devices. The use of cloud integration also helps increase the scalability of the given system by referenced computation needs and the favorite continuous learning from accumulated logs. Simulation outputs show better identification accuracy well over 95% on accidents and reduced power usage relative to other IoT applications. Due to the capacity to optimally discern and integrate performance, energetic, and real-time responsiveness, the system offers a feasible strategy for increasing vehicular safety at smart transportation systems.

关键词： Cloud computing Accuracy Scalability sensor phenomena and characterization Real-time systems sensor systems Energy efficiency Safety Internet of Things Accidents

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IoT-Enabled Smart Door Lock system Using Temperature sensor

IoT-Enabled Smart Door Lock System Using Temperature Sensor

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Disruptive Technologies (ICDT), International conference on

作者： Sachin Sharma Mayank Sharma Gopal Sharma Akash Bhasney Computer Science Sharda University Greater Noida India

This research introduces a comprehensive health and security system integrating advanced technologies for enhanced surveillance and monitoring. Leveraging a Raspberry Pi 3B+, OpenCV, and MLX90614 sensor, the project seamlessly combines facial recognition and contactless temperature monitoring to create a robust access control mechanism. The facial recognition module, powered by Haar Cascade, accurately identifies authorized individuals, triggering subsequent processes. When a recognized face is coupled with a normal body temperature (36.1-37.2°C), the system activates a solenoid lock, providing secure door access. In instances where elevated temperatures are detected, the door will not open. This dynamic response ensures security and addresses health concerns, particularly relevant in the context of viral outbreaks. The innovation lies in the system's dual-purpose functionality, merging security and health monitoring to provide a holistic solution for contemporary challenges. Its contactless temperature monitoring feature is especially pertinent in environments where minimizing physical contact is imperative, contributing to the overall safety and well-being of individuals. This research lays the groundwork for the development of adaptive systems that can be deployed across diverse settings, offering an effective response to evolving security and health threats in our interconnected world.

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Fault Diagnosis Based on Database-Driven Techniques: Application to the Electric Vehicle Case

Fault Diagnosis Based on Database-Driven Techniques: Applica...

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International conference on advanced systems and Electric Technologies (IC_ASET)

作者： Zouhour SOUISSI Anis MESSAOUD Laboratory of Numerical Control of Industrial Processes National Engineering School of Gabes (ENIG) University of Gabes Gabes Tunisia

ISBN: (数字)9798350384895

ISBN: (纸本)9798350384901

The progress of technology within the automotive sector, particularly the advent of electric vehicles, hinges on the reliability and efficacy of safety mechanisms like the anti-lock braking system (ABS). This study introduces a data-centric approach to identify and rectify shortcomings within the ABS. Through a comparative analysis of classification algorithms, this research evaluates their proficiency in detecting faults within vehicle and wheel speed sensors. The findings underscore the superiority of decision tree (DT) algorithms in terms of accuracy and effectiveness. This investigation implies that employing such algorithms could significantly bolster vehicle safety by promptly identifying potential ABS-related issues.

关键词： Support vector machines Fault diagnosis Electric potential Wheels Nearest neighbor methods Electric vehicles sensor systems

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IrriSmart-An IoT Testbed for a Resilient Smart Indoor Irrigation system

IrriSmart-An IoT Testbed for a Resilient Smart Indoor Irriga...

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International Communication systems and Networks and Workshops, COMSNETS

作者： Shakti Prasad Maharana Siba Prasad Maharana Sadananda Behera Basabdatta Palit Department of Electronics and Communication Engineering National Institute of Technology Rourkela

ISBN: (数字)9798331531195

ISBN: (纸本)9798331531201

With the rise of smart technologies, numerous tasks can now be automated without manual intervention, optimizing resource use in various applications. This work introduces-IrriSmart-a testbed for a smart, automatic irrigation system designed for efficient indoor plant care, particularly suited for indoor gardens, nurseries, and greenhouses. IrriSmart leverages advanced capacitive soil moisture sensors, which offer increased durability and accuracy by measuring soil dielectric permittivity, avoiding the corrosion and sensitivity issues associated with traditional resistive sensors. It integrates the ESP8266 Node MCU microcontroller, a DHT11 sensor for temperature and humidity monitoring, and a DC pumping motor, all coordinated via a relay module. Additionally, it also has a water flow sensor for precise water regulation. IrriSmart uses the Blynk IoT platform to effectuate real-time remote monitoring and control from any internet-connected device. The sensor data is also logged, providing users with insights into plant conditions and system performance. The key advantages of the proposed IrriSmart system include reduced maintenance requirements, comprehensive environmental data collection, and remote operability, making it a robust, cost-effective solution for automated irrigation in controlled environments.

关键词： Temperature sensors Temperature measurement Irrigation Soil moisture Humidity Capacitive sensors sensor systems sensors Intelligent sensors Remote monitoring

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Performance of Dynamic Power Assignments for Downlink NOMA system

Performance of Dynamic Power Assignments for Downlink NOMA S...

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Sciences and Techniques of Automatic control and Computer Engineering MI-STA, IEEE International Maghreb Meeting of the conference on

作者： Mohamed Omar Babana Mohamed Nuri Hussin ALwaled ALzarouq ALsharef Department of Electronics Wadi alshati University Sebha Libya Renewable energy Department Sebha university Sebha Libya Department of Electronics Wadi alshati University Brack Libya

ISBN: (数字)9798350372632

ISBN: (纸本)9798350372649

Non Orthogonal Multiple Access (NOMA), is a promise technique for a wireless multiplexing system to serve a huge demand for high speed data rate services. The system needs wireless interface able to allow multiple users to share the same network resources by dividing their power levels with minimum interference. The successive interference cancellation (SIC) can be used at the receiver to suppress interfering users that makes NOMA more sensitive to power assignment scheme. Therefore, system performance can be improved, when the transmitted power assigned to users fairly. This paper shows the power allocations scheme that assigned for NOMA users in terms of BER and SNR under downlink scenario. The obtained result shows the BERs, outage and sum rate performances, we demonstrate that, dynamic power allocation can divide transmitted power fairly to improve BER performance.

关键词： Wireless communication NOMA Wireless sensor networks Interference cancellation system performance Receivers Dynamic scheduling

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Modeling and control for Close Flight Formation of Blimp Robots

Modeling and Control for Close Flight Formation of Blimp Rob...

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International conference on advanced Robotics and Mechatronics (ICARM)

作者： Xu Wang Jun Zhang Qiucheng Lu Hongyang Li Shui Hu Aiguo Song State Key Laboratory of Digital Medical Engineering Jiangsu Key Lab of Robot Sensor and Control School of Instrument Science and Engineering Southeast University Nanjing China

ISBN: (数字)9798350385724

ISBN: (纸本)9798350385731

Multi-rotors can efficiently scout and transport cargo in low-altitude formations. However, they can only perform tasks quickly because carrying loads while maintaining lift is challenging. Blimp robots comprising a rigid multi-rotor and a soft balloon can perform long-time flights. This work presents a close flight formation control method for two bio-inspired hybrid blimp robots considering airflow disturbance. First, the impact of airflow disturbance on the balloon of the robot during close flight motion was analyzed. The disturbance was simplified and modeled considering the symmetrical structure of the blimp robot. Then, we designed a close flight controller combining a linear mixer and a PID controller to achieve the close flight motion of blimp robots under airflow disturbance. Finally, MATLAB-Simulink was used to realize the control scheme. Simulation results verified the feasibility and control performance of the close flight motion control method for the blimp robots under airflow disturbance.

关键词： Mechatronics Atmospheric modeling Simulation Biological system modeling Mathematical models Formation control MATLAB Robots Mixers

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Wireless Greenhouse Monitoring using ESP32 and sensor Array for Sustainable Crop Production

Wireless Greenhouse Monitoring using ESP32 and Sensor Array ...

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Artificial Intelligence For Internet of Things (AIIoT), International conference on

作者： Prachi Sharma Mehal Pandkar Shashank Nambiar School of Electronics Engineering (SENSE) Vellore Institute of Technology Vellore India

ISBN: (数字)9798350372120

ISBN: (纸本)9798350372137

The agricultural sector plays a pivotal role in the economic prosperity of nations, particularly in regions like India, where a substantial portion of the population depends on farming for their livelihood. To address the challenges hindering agricultural development and promote sustainability and efficiency, the concept of smart farming has emerged. Smart farming leverages modern technologies such as sensors, robotics, cloud computing, and GPS to optimize agricultural processes, leading to increased productivity, efficiency, safety, and environmental friendliness. This paper proposes the development of a Wireless Greenhouse Monitoring system, equipped with an advanced sensor array to regulate critical parameters including temperature, carbon dioxide levels, light intensity, soil moisture, and humidity. By employing the ESP32 microcontroller and integrating IoT and ISP technologies, the proposed prototype enables real-time monitoring and control of environmental conditions within the greenhouse. This system offers farmers a comprehensive solution to enhance crop yields while minimizing resource wastage and environmental impact. Through the integration of state-of-the- art technologies, the proposed system represents a significant advancement in greenhouse management for sustainable crop production, thereby contributing to the promotion of smart farming practices in agriculture.

关键词： Temperature sensors Smart agriculture Wireless communication Temperature measurement Wireless sensor networks Green products Sustainable development

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Pure Conducting Polymer Hydrogels Increase Signal-to-Noise of Cutaneous Electrodes by Lowering Skin interface Impedance

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advanced HEALTHCARE MATERIALS 2023年第17期12卷 2202661-2202661页

作者： Martinez, Sebastian Roubert Le Floch, Paul Liu, Jia Howe, Robert D. D. Harvard Univ John A Paulson Sch Engn & Appl Sci 150 Western Ave Boston MA 02134 USA

Cutaneous electrodes are routinely used for noninvasive electrophysiological sensing of signals from the brain, the heart, and the neuromuscular system. These bioelectronic signals propagate as ionic charge from their sources to the skin-electrode interface where they are then sensed as electronic charge by the instrumentation. However, these signals suffer from low signal-to-noise ratio arising from the high impedance at the tissue-to-electrode contact interface. This paper reports that soft conductive polymer hydrogels made purely of poly(3,4-ethylenedioxy-thiophene) doped with poly(styrene sulfonate) present nearly an order of magnitude decrease in the skin-electrode contact impedance (88%, 82%, and 77% at 10, 100, and 1 kHz, respectively) when compared to clinical electrodes in an ex vivo model that isolates the bioelectrochemical features of a single skin-electrode contact. Integrating these pure soft conductive polymer blocks into an adhesive wearable sensor enables high fidelity bioelectronic signals with higher signal-to-noise ratio (average 2.1 dB increase, max 3.4 dB increase) when compared to clinical electrodes across all subjects. The utility of these electrodes is demonstrated in a neural interface application. The conductive polymer hydrogels enable electromyogram-based velocity control of a robotic arm to complete a pick and place task. This work provides a basis for the characterization and use of conductive polymer hydrogels to better couple human and machine.

关键词： bioelectronics conductive polymers hydrogels neural interfaces skin

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Towards Sustainable Economic Zones with UAV-assisted Real-time Energy Replenishment in Wireless Rechargeable sensor Networks

Towards Sustainable Economic Zones with UAV-assisted Real-ti...

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International Symposium on advanced Networks and Telecommunication systems (ANTS)

作者： Riya Goyal Abhinav Tomar Gaurav Singal Dept. of Computer Science and Eng. Netaji Subhas University of Technology Dwarka New Delhi

An economic zone is bound to have continuous monitoring and control by an autonomous surveillance system for better production competency and security. Wireless Rechargeable sensor Networks (WRSNs) have gained popularity to provide reliable and sustainable energy supply for continual network operations. In economic zones, numerous sensor nodes are deployed for diverse activities that require continuous energy supply. However, the integration of WRSNs with UAVs has increased the efficiency of recharging the sensor nodes deployed in areas that are difficult to reach by mobile chargers. Nevertheless, UAVs’ limited battery life limits their performance and range which requires efficient deployment of charging stations. This paper proposes an integration of the Genetic Algorithm (GA) and Ant Colony Optimization (ACO) algorithms to address the charging scheduling problem through efficient deployment of charging stations and finding the optimal charging scheduling path for UAVs. Simulation results demonstrate that the proposed scheme produces a shorter planning path, leading to a longer network lifespan than alternative approaches.

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Novel Curving control Scheme of Rail-Type Monitoring Robot system Using Two BLDC Motors and IMU sensor 24

Novel Curving Control Scheme of Rail-Type Monitoring Robot S...

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24th International conference on Electrical Machines and systems (ICEMS)

作者： Ok, Sangjae Bae, Jongnam Lee, Dong-Hee Kyungsung Univ Dept Mechatron Engn Busan South Korea

ISBN: (纸本)9788986510218

This paper presents a novel arbitrary curved path control scheme to reduce the unbalance load between traction motors and position error at the designed rail-guided surveillance system. The designed rail-guided surveillance system is controlled by the two BLAC(Brushless AC) motors based on the internal hall position sensor without any external rail position sensors. Because of the arbitrarily curved guide rail, the traction loads of the inner and outer motor become different due to the mechanical friction of the inner side. Furthermore, the position error also increases. In order to reduce the unbalance load and improve the driving performance at the arbitrarily curved guide rail, the differential of estimated heading angle from IMU(Inertia Measurement Unit) is used to calculate the difference moving length between the inner and outer side motors. At every 2ms sampling period, the compensated moving length references of the inner and outer side motor are updated according to the change of the estimated heading angle. The compensated moving length references control the moving speeds of the inner and outer motor to improve the curved driving performance. In the practical experimental verification, the proposed control scheme shows advanced driving and excellent position control performance for the designed rail-guided surveillance robot.

关键词： monitoring robot system IMU sensor curved rail control scheme

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