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Enhancing Patients Privacy in Healthcare Records with Blockchain Technology 15

Enhancing Patients Privacy in Healthcare Records with Blockc...

引用

15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Chaudhari, Archana Kedar Mahajan, Prasad Prabhakar Jadhav, Viraj Anil Kudtarkar, Raj Rajaram Vishwakarma Institute of Technology Department of Instrumentation and Control Engineering Pune India

ISBN: (纸本)9798350370249

Healthcare record administration faces many obstacles, including data manipulation, security vulnerabilities, and the risks associated with centralized storage. To securely store and manage health records, we provide an innovative system that uniquely combines blockchain technology with the Interplanetary File System (IPFS). In contrast to conventional methods, our strategy makes use of a private blockchain network that was created in collaboration with Ganache to establish a decentralized ledger that guarantees data integrity and immutability for each and every transaction through cryptographic security. This system is unique in that it uses IPFS for decentralized file storage, which makes it possible to distribute and retrieve big medical records quickly and efficiently while safeguarding sensitive data from single-point failures. Our front-end interface, created with Bootstrap, HTML, CSS, and JavaScript, offers a user-friendly experience for both patients and healthcare professionals. Furthermore, the blockchain network and IPFS are smoothly integrated into our ***-built backend. The shortcomings of traditional health record management systems are addressed by this special combination, which improves security, accessibility, and transparency. Our technology protects the security and confidentiality of sensitive medical data while promoting interoperability and collaboration among healthcare stakeholders. © 2024 IEEE.

关键词： Electronic health record

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IOT Based Smart Lighting and Room Automation 4

IOT Based Smart Lighting and Room Automation

引用

4th International Conference on Power, Energy, control and Transmission Systems, ICPECTS 2024

作者： Chithrakkannan, R. Adhitya Narayanan, R. Jerlin, J. Sri Sairam Engineering College Department of Instrumentation and Control Chennai India

ISBN: (数字)9798331508845

ISBN: (纸本)9798331508845

This aim is to provide automatic, efficient and precise lighting and appliance automation with the help of detection through sensors and app controls using IOT. It makes the operation of light easier and reduces maintenance on electrical like switches. The basic model of this IOT lighting is achieved by using ESP-8266 board and PIR Sensor Module. After the connection and the circuit design, when an object or obstacle is placed in front of the IR sensor, the LED starts glowing. In a confined space or room, this is helpful when the light automatically turns on when person enters the room. Later, the redundant or backup mechanism of Arduino IOT app control is added in the interface. This avoids the risks faced when the sensors doesn't work under some situations. Also, security protocols are added so that the IoT devices are not misused. The smart lighting is done through machine learning algorithms uploaded on NODEMCU that optimize and reduce the power consumption. © 2024 IEEE.

关键词： Integrated circuit design

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Efficient Multi-Path Interference Mitigation in Indirect Time-of-Flight Imaging Using Hybrid Optimization 13

Efficient Multi-Path Interference Mitigation in Indirect Tim...

引用

13th International Conference on control, Automation and Information Sciences, ICCAIS 2024

作者： Kim, J Aehyeok Jeong, Jaehwa Department of Control and Instrumentation Engineering Korea University Sejong Korea Republic of

ISBN: (纸本)9798331542047

Indirect Time-of-Flight (iToF) technology is widely utilized for precise spatial sensing. However, it is highly suscep-tible to Multi-Path Interference (MPI), which can be induced by semi-transparent objects, sharp edges, or fog and degrade the accuracy of 3D measurement. This study proposes a hybrid optimization approach combining Orthogonal Matching Pursuit (OMP) and Sequential Quadratic Programming (SQP) to effec-tively mitigate MPI in iToF systems. By using OMP to generate initial values for SQP optimization, we demonstrate improved accuracy and faster convergence compared to traditional meth-ods like Particle Swarm Optimization (PSO) combined with the Interior Point Method (IPM). We evaluate the proposed OMP-SQP hybrid method using a publicly available dataset, which includes various challenging scenarios such as stray light interference and closely spaced targets. The experimental results show that the OMP-SQP method achieves up to 3.33 times faster optimization with comparable or even superior accuracy to the existing method. These findings suggest that the OMP-SQP hybrid method is a highly efficient and reliable solution for enhancing the performance of iToF systems under complex MPI conditions. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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IoT-Based Smart Vaporizer 9th

IoT-Based Smart Vaporizer

引用

9th International and 49th National Conference on Fluid Mechanics and Fluid Power, FMFP 2022

作者： Jain, Samyak Gaydhane, Minal Saraf, Rutuj Koli, Omkar Mhaske, Gayatri Mhetre, Manisha Department of Instrumentation and Control Engineering VIT Pune Pune411037 India

ISBN: (纸本)9789819957545

Smart vaporizer is designed to get good inhalation in this pandemic era. As per our daily life, cough and nozzle dryness are became part of habits. For nozzle clearance, we need a vaporizer;so, the basic aim of this project is to provide proper inhalation to us, and automation of this vaporizer makes us conveniently acquire this. Some conventional vaporizers are already present in the market, but the problem with those is like sometimes the steam coming out from those is hot enough that make our skin burn. Also, if the water level of liquid present in the container gets below the required level, then it will stop automatically. Many of them normally cause modest symptoms in the upper respiratory tract when infected. The lower respiratory tract can be infected by these coronaviruses, which can result in deadly pneumonia. This will typically cause the infection to go. Other times, though, severe pulmonary and systemic pathology resulting in ARDS and respiratory failure is the result of immune response dysfunctions. Treatment must resemble breathing in alcohol vapour through the nose, oxygen-driven inhalation of alcohol vapour. The advanced feature can be added to a conventional vaporizer, and we can get the required relief through the vaporizer without getting any interruption. Also, we learned some new techniques to make better human life, and, in this way, we are stepping up to our main aim as an engineer. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Water levels

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Classification of Sonic Log using Multiresolution Features 5

Classification of Sonic Log using Multiresolution Features

引用

5th International Conference on Smart Electronics and Communication, ICOSEC 2024

作者： Patankar, Sanika Hursad, Akash Ambekar, Harsh Ijmulwar, Jatin Donge, Aditya Vishwakarma Institute of Technology Department of Instrumentation and Control Engineering Pune India

ISBN: (纸本)9798331504403

This research work proposes a novel approach to sonic log prediction in the oil and gas industry, emphasizing the importance of accurate DTC (Compressional Sonic Transit Time) and DTS (Shear Sonic Transit Time) values for reservoir characterization. The methodology combines machine learning and signal processing, specifically Wavelet transformation, to enhance prediction accuracy. The process involves dataset preprocessing, Wavelet transformation on seismic signals, feature extraction, and machine learning model training. Results demonstrate an impressive 89 percent accuracy, surpassing other algorithms. The dataset utilized is comprehensive and diverse, ensuring the model's robustness across various geological scenarios. The proposed approach significantly contributes to accurate wave velocity estimation, boosting confidence in reservoir characterization. Overall, the study offers a practical and effective solution for improving sonic log predictions, benefiting hydrocarbon exploration and decision-making in the petroleum industry. © 2024 IEEE.

关键词： Petroleum industry

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Flexible and Expandable RF Coil System with Soft Actuators for Deep Organ Imaging in MRI 9

Flexible and Expandable RF Coil System with Soft Actuators f...

引用

9th International Conference on Integrated Circuits, Design, and Verification, ICDV 2024

作者： Lee, Seonghyeon Jung, Woojun Yunhao, Ma Shin, Yubeen Hwang, Yongha Korea University Department of Control and Instrumentation Engineering Sejong Korea Republic of

ISBN: (纸本)9798350371864

This study presents a flexible and expandable RF coil system for magnetic resonance imaging (MRI) of deep organs, such as pituitary glands. To adjust the size of the coil, a 3D folding structure made of PDMS and soft actuators are utilized. Also, the deployable RF coil system featuring both flexibility and high conductivity is implemented using an RF coil composed of conductive polymers. A combination of stereolithography, 3D printing, and PDMS casting techniques was used to efficiently fabricate complex structures, and a system is implemented that allows coil control by soft actuators. Additionally, a remote tuning circuit was used to adjust the operating frequency of the RF coil. It is confirmed that although the operating frequency changes as the shape of the RF coil changes according to the folding structure, the operating frequency can be maintained constant by remote circuit adjustment. This technology allows for the insertion of RF coils for MRI by reducing their diameter during the process of placing them as close as possible to deep-seated organs. This presents the potential to effectively acquire MRI images of various body parts while maintaining patient comfort and improving image quality. © 2024 IEEE.

关键词： Stereolithography

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Development of a Capacitive Sensing Module to Detect the Concentration of Isopropyl Alcohol for Covid-19 Disinfection Using Small Capacitance to DC Converter 9

Development of a Capacitive Sensing Module to Detect the Con...

引用

Joint 9th International Conference on Digital Arts, Media and Technology with 7th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications engineering, ECTI DAMT and NCON 2024

作者： Sriratana, Witsarut Faijaree, Manasnit Sriratana, Lerdlekha Satthamsakul, Sutham School of Engineering King Mongkut's Institute of Technology Ladkrabang Department of Instrumentation and Control Engineering Bangkok10520 Thailand Ramkhamhaeng University Faculty of Engineering Department of Industrial Engineering Bangkok10240 Thailand

ISBN: (纸本)9798350318241

This paper presents the development of a sensing module for analyzing the concentration of disinfectant alcohol commercially available in Thailand during the Covid-19 epidemic situation to ensure the ingredients and percentage concentration by focusing on simplicity, low cost with reliable performance. Under the basic physical structure of the capacitance change [1]-[5], it consists of a New Sensor Module developed to fully interface with the small capacitance to DC converter for capacitive sensor [2] model. Inside the sensing structure, there were 2 modules of metal conductors. Each conductor was 3 mm. thick, placed in parallel with a fixed distance between the module of 1 mm. The cross-sectional areas of the plates of those two modules were different in order to compare the efficiency of the detector developed. The cross-sectional areas of the plates of Module A and B were 4 cm2 and 1 cm2, respectively. Experiments were performed with 3 concentrations of alcohol, 65%, 70% and 75%, to enhance the concentration detecting performance of the sensing module developed. The signal conditioning was generated from a small capacitance to DC converter for capacitive detection with a frequency of 100 kHz, which was the most suitable frequency for exciting the capacitance change which was the capacitive reactance of the alcohol used in this study. From experiments, it was found that the sensing module with a small cross-sectional conductive material would provide more accurate results in terms of linearity and repeatability. The errors were less than 2.72% compared to the module with a large cross-sectional conductor material which would have an error up to 4.73%. © 2024 IEEE.

关键词： Capacitance

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Energy Harvesting circuit for Digitization of Wiegand Pulse using Buck Converter in Discontinuous Conduction Mode 5

Energy Harvesting circuit for Digitization of Wiegand Pulse ...

引用

5th International Conference on Energy, Power, and Environment, ICEPE 2023

作者： Chotai, Janki Thakker, Manish Gujarat Technological University Instrumentation & Control Engineering Department Ahmedabad India L D. College of Engineering Instrumentation & Control Engineering Department Ahmedabad India

ISBN: (纸本)9798350313123

Energy harvesting using Wiegand sensor as self-sustaining sensor is an emerging research area. The Wiegand sensor is a magnetic sensor that relies on the phenomenon of large Barkhausen jumps, generates a triangular voltage pulse upon the application of an alternating magnetic field. Pulse generation occurs regardless of how slowly the magnetic field variation occurs, is an attractive feature which enables its use as an energy harvester even in presence of low-frequency sources. Wiegand sensor as a sensing element have been used in many applications. But Wiegand sensor as energy harvester opens interesting, yet still overlooked possibilities in the energy harvesting field. The major challenge with the Wiegand sensor is energy harvested per pulse in the range of nJ. In this research work, we have proposed the circuit using Wiegand sensor that uses buck converter in discontinuous mode (DCM) mode to generate the digital pulse of 4.5 V and 10 ms at extremely low frequency for each magnetic field reversal without the use of any external power supply. Battery-less digital pulse generation is demonstrated for rotating application in the present study. The operating frequency up to 100 Hz has been considered. The main advantage of the proposed circuit is digitization of triangular shape Wiegand pulse is feasible for extremely slow varying magnetic field which can be used directly by microcontroller unit for further analysis. © 2023 IEEE.

关键词： Energy harvesting

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Analysis and segregation of Corn seed using machine vision 4

Analysis and segregation of Corn seed using machine vision

引用

4th International Conference on Power, Energy, control and Transmission Systems, ICPECTS 2024

作者： Ilayaraja, R. Helen, R. Sri Sairam Engineering College Department of Instrumentation & Control Engineering Chennai India Saveetha Engineering College Department of Biomedical Engineering Chennai India

ISBN: (数字)9798331508845

ISBN: (纸本)9798331508845

In India, about 60% of the of the population depends upon the agriculture field. Quality control is very important in agriculture production because the crop yield mainly depends on the quality of the seed. In order to increase the productivity, in this research work the quality of the seed is analysed using Deep Convolutional Neural Network. Thus the human errors is avoided in the selecting quality seed, reduce the human effort and time spent on segregation. This research proposed hardware solution for seed classification using the CNN *** quality seeds are selected and segregated by image processing technique and CNN. The seeds are fed in to a designed conveyor and the seed image is taken by the camera. Raspberry-pi controller is used to process the seed images and classify the seeds based on the quality parameters such as colour, size and shape. The attained the accuracy of 95% using our hardware setup. © 2024 IEEE.

关键词： Convolutional neural networks

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Solid Waste Management Using Machine Learning Algorithm for Smart Cities 3rd

Solid Waste Management Using Machine Learning Algorithm for ...

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3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, ICMISC 2022

作者： Khandekar, Meera Agashe, Sudhir D. Pawar, Raunak Department of Instrumentation and Control Engineering College of Engineering Pune411005 India

ISBN: (纸本)9789811960871

In big cities, waste management is becoming challenging because of variety of wastes and quantity of the waste generated. If waste management is not proper, it is directly affecting environment and human life. For systematic and effective waste management, it is important to know the quantity of waste generated in a particular area. To know the quantity of waste and types of waste generated per day in a particular area, we can use prediction algorithm. Linear regression model is developed using past available data. For varying number of household, we can predict the quantity of solid waste generated per day for a particular residential area. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Solid wastes

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