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9th IEEE India International conference on Power Electronics, IICPE 2023

作者： Waris, Mohammad Upadhyay, Nitin Dwivedi, Manish K. Yendluri, Hanuman Prasad Space Applications Centre Sensors Electronics Group Sensors Development Area Ahmedabad India

ISBN: (纸本)9798350307252

Infra-Red (IR) payloads are used on-board for measuring the thermal/spectral properties of objects. To reduce background and enhance Noise Equivalent Temperature Difference (NeTd), it is required to cool the detector (Focal Plane Assembly-FPA) and associated optics. Linear Sterling Cryo-Coolers are typically used for cooling of FPA. A diode temperature sensor is used to sense the cold tip (FPA) temperature. Long/Medium Wave Infra-Red sensors(LWIR/MIR) require tighter control of FPA temperature (Better than 15 mK (mili-Kelvin)). Since Diode sensor has a small output dynamic range of ∼500 mV (0.6 V to 1.1 V), therefore achieving stringent control is dependent on precise performance of design blocks (low noise current bias, high resolution temperature processing and PID Controller). Design of Proportional-Integral-Derivative (PID) controller plays a very crucial role in overall performance. Overshoot, settling time and stability are affected by PID design. Cooler Drive Electronics (CDE) is used to implement these functions. Truncation losses in a typical implementation of FPGA (Field Programmable Gate Array) based PID Controller leads to higher ripple. A Micro-controller based floating point PID controller is proposed to overcome these issues, thus enhancing the functionality to provide tighter control of Cooler temperature. In this paper we have discussed design and development of a Floating Point PID controller. A prototype (Enhanced CDE) was developed and tested in close loop with the peripheral sub-systems (Cryo-Cooler, Front End Camera Electronics(FECE), and Payload Power Supply(PPS» to demonstrate performance in actual payload environment. Short Term temperature stability of 10mK RMS (Root Mean Square) and Long Term temperature stability of 75mK (Peak to Peak) for Cryo-Cooler is achieved against the requirements of © 2023 IEEE.

关键词： Three term control systems

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Hardware Implementation of Intrusion detection system for Blackhole Attack Detection

Hardware Implementation of Intrusion detection system for Bl...

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Intelligent systems and advanced applications (ICISAA), International conference on

作者： Ashwini V. Jatti V.J.K. Kishor Sonti Dr. D Y patil Institute of Technology Pimpri Pune Department of Electronics and Communication Engineering Sathyabama Institute of Science and Technology Chennai India

ISBN: (数字)9798331539948

ISBN: (纸本)9798331539955

More security is required for the newly emerging wireless adhoc network technologies. The development and testing of prototypes under blackhole attack mitigation is demonstrated in this work. The hardware model enables data transfer between PCs, laptops, and mobile devices in both indoor and outdoor environments. The system consists of five nodes, each of which is wirelessly connected to the others via ESP32 boards that have been programmed using the Arduino IDE. The hardware prototype was tested, and the data size was changed to measure the packet delivery time.

关键词： Wireless communication Wireless sensor networks Portable computers Prevention and mitigation Prototypes Size measurement Hardware Time measurement Security Testing

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The Design and Implementation of Dust Monitoring System for Photovoltaic Power Generation 23

The Design and Implementation of Dust Monitoring System for ...

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23rd IEEE International conference on High Performance Computing and Communications, 7th IEEE International conference on Data Science and systems, 19th IEEE International conference on Smart City and 7th IEEE International conference on Dependability in sensor, Cloud and Big Data systems and applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Chen, Yuliang Ma, Jiali Ma, Yanhong Zhang, Yingli Zhou, Xiaokang Zhou, Rui School of Information Science and Engineering Lanzhou University Lanzhou China State Grid Gansu Electric Power Company Lanzhou China Shiga University Faculty of Data Science Hikone Japan Riken Center for Advanced Intelligence Project Tokyo Japan

ISBN: (纸本)9781665494571

In recent years, photovoltaic power generation, as one of the most important modes of clean energy generation, has gradually become the focus of China's energy development efforts. The Jiuquan area in Gansu, with good solar radiation conditions, high light intensity and high solar power generation potential, is an ideal area for building solar photovoltaic power generation farms. However, as the photovoltaic panels(PV panels) are exposed to the outdoors for a long time, the surface of the panels tend to accumulate a layer of dust, which makes it difficult for the sunlight to shine directly on the power generation area, seriously reducing the actual power generation efficiency of the panels, and at the same time, the 'heat island effect' caused by the dust may lead to damage of the panels. In this paper, a PV dust monitoring system is designed to solve the problem of low efficiency of PV power generation system caused by dust. The first part introduces the background, purpose and significance of the research, introduces the current status of domestic and international research, and states the main research work of this topic;the second part introduces the basic theory of PV power generation system and the effect of dust on PV power generation system;the third part introduces the design scheme of the system from the perspective of hardware and software;the fourth part introduces the specific implementation scheme of the system. This paper provides a solution to monitor the dust accumulation on the surface of PV panels, and provides support for the prediction of power generation and the recommendation of the cleaning cycle of PV panels. © 2021 IEEE.

关键词： Photovoltaic systems Smart cities Buildings Software Hardware Cleaning Thermal pollution

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Forest Fire Prevention and Detection System

Forest Fire Prevention and Detection System

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Power Electronics, Computer applications (ICPECA), IEEE International conference on

作者： Lasitha Jayakody Chamathka Edirisinghe Tharush Senasinghe Shaminda Dissanayake Narmada Gamage Dinithi Pandithage Jaliya L. Wijayaraja Dept. of Computer Systems Engineering Sri Lanka Institute of Information Malabe Sri Lanka

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533700

Forest fires pose significant threats to both the environment and human life, necessitating the development of advanced detection and prevention systems. In this study, we propose an integrated IoT (Internet of Things)-based system for early detection and management of forest fires. The system incorporates a range of sensors including heat, gas, and thermal imaging sensors, along with IoT technology for real-time monitoring and communication. Utilizing image processing techniques and (ML) Machine Learning algorithms, the system can accurately detect fires, predict their spreading patterns, and analyze environmental conditions. Key features include the deployment of disposable heat sensors for temperature monitoring, IoT sensors for gas detection and weather monitoring, and a centralized processing node for data analysis. Alerts are sent to nearby authorities and residents, while automated firefighting devices are activated to suppress fires until backup arrives. Experimental results demonstrate the effectiveness of the proposed system in early detection and prevention of forest fires.

关键词： Temperature sensors Technological innovation Wildfires Prevention and mitigation Forestry sensor phenomena and characterization sensor systems Real-time systems Gas detectors Resilience

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Gaussian Process Position-Dependent Feedforward: With Application to a Wire Bonder

Gaussian Process Position-Dependent Feedforward: With Applic...

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17th IEEE International conference on advanced Motion Control (AMC)

作者： van Haren, Max Poot, Maurice Kostic, Dragan van Es, Robin Portegies, Jim Oomen, Tom Eindhoven Univ Technol Dept Mech Engn Control Syst Technol Eindhoven Netherlands ASM Pacific Technol Ctr Competency Beuningen Netherlands Eindhoven Univ Technol Dept Math & Comp Sci CASA Eindhoven Netherlands Delft Univ Technol Delft Ctr Syst & Control Delft Netherlands

ISBN: (纸本)9781728177113

Mechatronic systems have increasingly stringent performance requirements for motion control, leading to a situation where many factors, such as position-dependency, cannot be neglected in feedforward control. The aim of this paper is to compensate for position-dependent effects by modeling feedforward parameters as a function of position. A framework to model and identify feedforward parameters as a continuous function of position is developed by combining Gaussian processes and feedforward parameter learning techniques. The framework results in a fully data-driven approach, which can be readily implemented for industrial control applications. The framework is experimentally validated and shows a significant performance increase on a commercial wire bonder.

关键词： Training Motion planning sensor placement Wires Training data Gaussian processes Feedforward systems

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A Paper-Based Keyboard Using ArUco Codes: ArUco Keyboard

A Paper-Based Keyboard Using ArUco Codes: ArUco Keyboard

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Human Computer Interaction Thematic Area conference Held as Part of the 24th International conference on Human-Computer Interaction (HCII)

作者： Toker, Onur Karaman, Bayazit Demirel, Doga Florida Polytech Univ Lakeland FL 33805 USA

ISBN: (纸本)9783031054099;9783031054082

Object tracking in computer vision can be done either by using a marker-less or marker-based approach. Computer vision systems have been using Fiducial markers for pose estimation in different applications such as augmented reality [5] and robot navigation [4]. With the advancements in Augmented Reality (AR), new tools such as AugmentedReality uco (ArUco) [6] markers have been introduced to the literature. ArUco markers, are used to tackle the localization problem in AR, allowing camera pose estimation to be carried out by a binary matrix. Using a binary matrix not just simplifies the process but also increases the efficiency. As a part of our initiative to create a cost-efficient, 24/7 accessible, Virtual Reality (VR) based chemistry lab for underprivileged students, we wanted to create an alternative way of interacting with the virtual scene. In this study, we used ArUco markers to create a low-cost keyboard only using a piece of paper and an off-the-shelf webcam. We believe this method of keyboard will be more beneficial to the user as they can see the keys before they are typing in the corner of the screen instead of an insufficient on the screen VR keyboard or a regular keyboard where the user can't see what they are typing with a VR headset. As potential extensions of the base system, we have also designed and evaluated a stereo camera and an IMU sensor based system with various sensor fusion techniques. In summary, the stereo camera reduces occlusion related problems, and the IMU sensor detects vibrations which in turn simplifies the KeyPress detection problem. It has been observed that use of any of these additional sensors improves the overall system performance.

关键词： ArUco codes IMU sensors sensor fusion

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A Visual-Tactile Coulping Mechanism sensor For Real-Time Force Calibration

A Visual-Tactile Coulping Mechanism Sensor For Real-Time For...

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IEEE International conference on Micro Electro Mechanical systems

作者： Xiaotong Hu Chunpeng Jiang Bin Yang Jingquan Liu National Key Laboratory of Advanced Micro and Nano Manufacture Technology Shanghai Jiao Tong University China Department of Micro/Nano Electronics School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University China

This paper reports a visual-tactile coupling mechanism sensor for force calibration in real time through integrating high sensitivity piezoresistive thin film sensor and high resolution visual-tactile sensing. The elastic layer combined with dispensing-printed flexible electrodes forms piezoresistive sensing units. It employs the spatial weighted fusion algorithm to couple displacement of markers as weights with forces measured by the piezoresistive sensing units. High resolution and improved measurement accuracy at small forces are realized, and the coefficient of variation of measured force is reduced, which contributes to enhancing reliability. The sensor will be served as a reliable data source for future human-machine interaction applications.

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3rd Electric Power and Renewable Energy conference, EPREC 2022

3rd Electric Power and Renewable Energy Conference, EPREC 20...

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3rd Electric Power and Renewable Energy conference, EPREC 2022

ISBN: (纸本)9789811966040

The proceedings contain 19 papers. The special focus in this conference is on Electric Power and Renewable Energy. The topics include: An Off-MPPT Controller for Standalone PV systems;Designing and Simulation of Double Stage Grid-Linked PV System Using MATLAB/Simulink;a Review of sensor-Based Solar Trackers;Detection and Classification of Faults in VSC-HVDC System Based on Single End Ground and Pole Differential Current Components;investigation of Different Types of Bidirectional Charging Operations of Electric Vehicles;Intelligent Fault Location Scheme for HVDC System;Energy-Metrics Analysis of 2 kWp Rooftop PV System Located in Gwalior India;the Use of Biogas Energy for Electrical Power Generation in Zimbabwe—A Study;A Review on Recent advanced Three-Phase PLLs for Grid-Integrated Distributed Power Generation systems Under Adverse Grid Conditions;Performance Assessment and Evaluation of a 52-kW Solar PV Plant in India;green Energy in West Bengal, India: Status, Scope, and Future Challenges;Impact of Performance Parameters on the Efficiency of Cu2SnS3 (CTS)/Si Tandem Solar Cell by SCAPS-1D;expansion of the Burners Structure to Boost up the Ecological Properties of an Average Capacity Boiler "E-270-13.73-560";Rearrangement of the PV Array to Reduce the Effect of Partial Shading Using Meta-Heuristic Techniques;design of Lithium-Ion Battery Thermal Management System for Vehicular applications;wind and Tidal Power as a Dynamic Solution for Sri Lanka’s Dependency on Thermal Power Plants.

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Development of Machine Intelligence for Self-Driving Vehicles Through Video Capturing

Development of Machine Intelligence for Self-Driving Vehicle...

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IEEE/ASME International conference on Mechtronic and Embedded systems and applications, MESA

作者： Jordon Lowe Kaya Kuru School of Engineering and Computing University of Central Lancashire Preston UK

ISBN: (数字)9798331516239

ISBN: (纸本)9798331516246

The automation of vehicles is progressing through several automation levels, with the goal of reaching full autonomy, i.e. level 5, which involves no steering wheel, brakes, pedals, or windshield. This is achieved by the vehicle taking on an increasing number of autonomous decision-making tasks under the guidance of smart control systems that are instilled with Artificial Intelligence (AI) and equipped with advanced sensor and actuator technologies. Major vehicle companies are competing to build the most talented driver, i.e. AI-agent. In this report, how the intelligence of Self-Driving Vehicles (SDVs) is being built by the automotive industry for the efficient deployment of handover wheels is analysed and applications of machine intelligence for SDVs are implemented through video capturing using Deep Learning (DL). The results show that i) the use of DL techniques as well as reinforcement learning (RL) – Deep RL approaches – can contribute to the intelligence of SDVs significantly and ii) SDVs, equipped with advanced mechatronics systems, can be fully autonomous with the level-5 automation as they are trained appropriately with proper datasets.

关键词： Industries Automation Mechatronics Embedded systems Wheels Reinforcement learning Handover Artificial intelligence Machine intelligence Vehicles

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Flexible M-Tooth Hybrid Micro-Structure-Based Capacitive Pressure sensor With High Sensitivity and Wide Sensing Range

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IEEE sensorS JOURNAL 2021年第23期21卷 26261-26268页

作者： Palaniappan, Valliammai Panahi, Masoud Maddipatla, Dinesh Zhang, Xingzhe Masihi, Simin Emani, Himanaga Rama Krishna Manoj Narakathu, Binu B. Bazuin, Bradley J. Atashbar, Massood Z. Western Michigan Univ Elect & Comp Engn Dept Kalamazoo MI 49008 USA

A novel flexible capacitive pressure sensor based on hybrid micro-structured (HM) polydimethylsiloxane (PDMS) dielectric layer was developed. The HM-PDMS with M-tooth structured patterns was fabricated using a laser engraved acrylic master mold. The top and bottom electrodes were fabricated by depositing silver (Ag) on flexible polyethylene terephthalate PET) substrate using additive screen-printing process. The pressure sensor was assembled by sandwiching two HM-PDMS based dielectric layers between the top and bottom electrodes. The capability of the developed pressure sensor to detect a wide range of pressure was investigated by applying varying pressure from 0 to 1 kPa, 1 to 10 kPa, and 10 kPa to 40 kPa. A sensitivity of 51.36% kPa(-1), 8.37% kPa(-1), and 2.46% kPa(-1) was obtained for the pressure ranges of 0 to 1 kPa, 1 to 10 kPa, and 10 to 40 kPa, respectively. The capacitive pressure sensor response, hysteresis, and repeatability of the fabricated pressure sensor is investigated and presented in this paper. To demonstrate the wide sensing range of the pressure sensor, the sensor was attached to face mask for breath monitoring applications that require low pressure sensing of similar to 20 Pa, and to the hand glove for fingertip pressure monitoring applications that require relatively high pressure sensing of similar to 3 kPa.

关键词： Additive screen-printing hybrid micro-structures laser engrave laser etching M-tooth structured pattern pressure sensor polydimethylsiloxane wide pressure range

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