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MentalHealthAI: Utilizing Deep Learning for Accurate Stress Level Prediction 3

MentalHealthAI: Utilizing Deep Learning for Accurate Stress ...

引用

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

作者： Bharathi, S.T. Raj, J. Relin Francis Krishnan, R. Santhana Rajalakshmi, V. Kumar, V. Vinoth Anchitaalagammai, J.V. Department of Information Technology PSNA College of Engineering and Technology Dindigul India Department of Electronics and Communication Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India Department of Electronics and Communication Engineering SCAD College of Engineering and Technology Cheranmahadevi India Department of Management Studies SCAD College of Engineering and Technology Cheranmahadevi India Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Avadi Chennai India Department of Computer Science and Engineering Velammal College of Engineering and Technology Madurai India

ISBN: (纸本)9798331532420

MentalHealthAI is an advanced deep learning system designed to accurately predict stress levels by integrating various data sources, including user surveys, heart rate metrics, sentiment scores from social media interactions, and demographic information. This innovative approach employs a Fully Connected Neural Network (FCNN) architecture, enabling the model to uncover complex relationships among multiple stress-related factors, such as PHQ-9 and GAD-7 questionnaire scores, heart rate variability, sleep patterns, and calculated sentiment scores. By utilizing Natural Language Processing (NLP) techniques, specifically the VADER model, the system analyzes social media text data to derive sentiment scores, providing insights into users' emotional states. This holistic assessment empowers individuals to understand the interplay between their mental health and daily activities, fostering proactive stress management. The advantages of MentalHealthAI include its capacity to deliver timely and personalized stress assessments, allowing users to make informed decisions about their mental well-being. By combining objective data from wearables with subjective sentiment analysis, the system offers a comprehensive perspective on stress dynamics. Ultimately, MentalHealthAI aims to enhance mental health support, providing valuable insights that encourage healthier lifestyles and improved emotional resilience. © 2024 IEEE.

关键词： Electronic health record

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IoT based Boiling Detection System with Real-time Monitoring and Predictive Analysis 4

IoT based Boiling Detection System with Real-time Monitoring...

引用

4th international conference on Pervasive computing and Social Networking (ICPCSN)

作者： Raikwar, Rajesh G. Kotwal, Imran A. Hol, Sanket Hiwrale, Aditya Holkar, Amit Humbe, Rohan Humbe, Vedant V. Vishwakarma Inst Technol Pune India

ISBN: (纸本)9798350386356;9798350386349

This research study focuses on the application of modern day technologies like Internet of Things (IoT) in the field of Home automation and aims to improvise the traditional boiling process of Fluids. Many times in industries as well as our homes, there exists a common problem of overheating and overflowing of fluids due to inefficient manual management of heating of fluids. To find a smart and durable approach as a solution to our problem, we made an attempt to design a smart system which would incorporate new-age technologies like IoT and Firebase Database. The proposed system architecture integrates a DS18B20 temperature sensor for precise temperature measurement and an ESP32 microcontroller for data processing and communication. The temperature data is sent to the Real-time Firebase database, which is then fetched into the dashboard for getting instant information. A dedicated application is designed with user friendly design so as to make this solution easily accessible for the masses. Instead of relying on traditional methods of temperature monitoring, the system utilizes Firebase Realtime Database as a custom cloud solution for storing and retrieving temperature data. A Linear Regression model was employed on the dataset to predict the boiling temperature of the fluid under consideration. This would make the prototype product more robust and predict the boiling temperature on its own through data-driven decisions. Thus this a prototype of the product IoT Based Smart Boiling detector, designed to serve a possible and durable solution to the problem.

关键词： Home automation Internet of Things ESP-32 Microcontroller DS-18B20 Temperature Sensor FirebaseRealtime Database Linear Regression Gradient Boosting

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Spatial Constrained and Candidate Expanded Parallel Matching for Ultra-Low Delay Camera Pose Estimation 8

Spatial Constrained and Candidate Expanded Parallel Matching...

引用

8th international conference on Imaging, Signal Processing and communications (ICISPC)

作者： Sun, Tengxiao Li, Yuan Hu, Tingting Fuchikami, Ryuji Wang, Wei Ikenaga, Takeshi Waseda Univ Grad Sch Informat Prod & Syst Kitakyushu Fukuoka Japan Panasonic Connect Co Ltd Res & Dev Div Osaka Japan

ISBN: (纸本)9798350367164;9798350367157

In fields like robotics and factory automation (FA), an ultra-low delay vision system has emerged as a critical tool. This system processes videos at an astonishing 1000 frames per second (fps), with each frame being processed within 1 millisecond (1-ms). Camera pose estimation plays a crucial role by providing real-time and accurate spatial information, enabling rapid response and precise control of production processes in such systems. Existing works mainly focus on general purpose use (60fps) while less of the focus on specific use (1000fps). This paper proposed an ultra-low delay camera pose estimation method designed to meet the stringent requirements of modern FA systems. The spatial constrained and candidate expanded parallel matching is proposed for accelerating 3D-2D matching process. Spatial constrain utilizes the tiny movements between adjacent frames to shrink the search range to decrease the probability of matching conflicts. And candidate expansion increases the candidate matching points to guarantee the quality of matching between 2D and 3D spaces, which increases parallelism and enhances efficiency of the 3D-2D matching process. Experiments are conducted using a 1000 fps camera with resolution of 640 x 360 . The proposed method demonstrated robust performance across horizontal, vertical, and random camera movements, achieving an average Relative Pose Error (RPE) of 0.5 cm for translation and 0.4 degrees for rotation respectively.

关键词： camera pose estimation factory automation acceleration parallel ultra-low delay

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Copper and Wire: Bridging Expressiveness and Performance for Service Mesh Policies 25

Copper and Wire: Bridging Expressiveness and Performance for...

引用

30th international conference on Architectural Support for Programming Languages and Operating Systems-ASPLOS

作者： Saxena, Divyanshu Zhang, William Pailoor, Shankara Dillig, Isil Akella, Aditya Univ Texas Austin Austin TX 78712 USA

ISBN: (纸本)9798400706981

Distributed microservice applications require a convenient means of controlling L7 communication between services. Service meshes have emerged as a popular approach to achieving this. However, current service mesh frameworks are difficult to use - they burden developers in realizing even simple communication policies, lack compatibility with diverse dataplanes, and introduce performance and resource overheads. We identify the root causes of these drawbacks and propose a ground-up new mesh architecture that overcomes them. We develop novel abstractions for mesh communication, a new mesh policy language centered on these abstractions to enable expressive policies, and a novel control plane that enables using minimal dataplane resources for policy enforcement. We develop the precise semantics of our language abstractions and demonstrate how our control plane can use them to execute policies correctly and optimally. We build and evaluate a prototype on realistic workloads and policies and open-source production traces. Our results show that complex policies can be specified in up to 6.75x fewer lines, enforced with up to 2.6x smaller tail latencies and up to 39% fewer CPU resources than today.

关键词： Service Mesh Microservices Cloud computing

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SMART RAINWATER MANAGEMENT SYSTEM FOR FLOOD MITIGATION FOR HOUSE 15

SMART RAINWATER MANAGEMENT SYSTEM FOR FLOOD MITIGATION FOR H...

引用

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

作者： Vivek, B. Rudhrananth, N. Pratheeswar, M. Sanjay, K. Department of Electronics and Communication Engineering Kongu Engineering College Erode638060 India

ISBN: (纸本)9798350370249

Flood is a growing threat in urban areas because of inadequate infrastructure, increased population, and climate change. People undergo suffering in order to get food, shelter, medication, and other necessities. Communities across the world are at serious risk from flooding. In order to improve flood management capabilities, a real-time rain water control system is presented in this project. Through the use of sensors and control algorithms, the system provides efficient rainwater control and dynamic monitoring during flood occurrences. Sensor arrays for tracking water levels and flow rates together with a NodeMCU for processing data and making decisions, are essential parts of the system. Incoming sensor values are analysed to adjust water flow management operations accordingly. The control methods of the system provide modifications for diversion techniques, pump operations, and valve openings in order to efficiently mitigate the effects of flooding. Cities may increase their ability to adapt, lower risk, and create sustainable, flood-resistant communities by including these flood resilience measures into their planning and development processes. Data are sent from NodeMCU to IoT app in real-time using MQTT Protocol. This way everyone can monitor the current situation of their surrounding and prepare safety measures in advance. © 2024 IEEE.

关键词： Sensor nodes

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Preliminary Design for Reference tracking feedback for Medical Cyber-Physical Pharmacokinetic Systems 26

Preliminary Design for Reference tracking feedback for Medic...

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2024 IEEE international conference on automation/26th Congress of the Chilean Association of Automatic control, ICA-ACCA 2024

作者： Oliveira, Pedro M. Bustos, Daniel Lobo, Rodolfo Lacerda, Marcio J. Palma, Jonathan M. Federal University of Minas Gerais Graduate Program in Electrical Engineering Belo Horizonte Brazil Universidad Católica Del Maule Dept. of Translational Medicine Talca Chile Universidad Diego Portales Ingenieria en Telecomunicaciones e Informática Santiago Chile London Metropolitan University Centre for Communications Technology School of Computing and Digital Media London United Kingdom Universidad de Talca Faculty of Engineering Curicó Chile

ISBN: (纸本)9798350378115

This paper addresses the reference tracking control problem for Medical Cyber-Physical Systems (MCPS). The control theory is employed to guarantee the suitable concentration of drugs in the body of patients to guarantee a safe treatment. The MCPS is modeled as a switched system, and the modes consider the different scenarios for the problem. A discrete-time model is utilized for the pharmacokinetic process, and the zero input control strategy is employed to design state-feedback controllers with a guaranteed exponential convergence rate. A numerical experiment is presented to illustrate the validity and effectiveness of our method. © 2024 IEEE.

关键词： State feedback

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Integrated AI and RFID Tracking Systems: State-of-the-Art Review 2

Integrated AI and RFID Tracking Systems: State-of-the-Art Re...

引用

2nd international conference on automation, computing and Renewable Systems, ICACRS 2023

作者： Bhalla, Anand Vardhan Dey, Rajiv Gupta, Sandeep Thakur, Padmanabh Department of Electronics & Communication Engineering School of Engineering Eklavya University Madhya Pradesh Damoh India Department of Electronics & Computer Engineering SOET BML Munjal University Haryana Gurugram India Uttarakhand Dehradun India

ISBN: (纸本)9798350340235

RFID is one of the admired, powerful, and effectual technology in the field of communication, defense and detection in the Indoor RFID localization and tracking systems. The remoteness between RFID reader and object is measured from acknowledged signal strength indication (RSSI) values received from RFID reader. Radio Frequency Identification (RFID) and Artificial Intelligence (AI) have attracted considerable attention in recent years for ubiquitous computing and their use revolutionizes diverse applications in present and future system. Fast, accurate, cost-effective, simple to use, stable, and dependable systems are in high demand today. AI-based RFID has demonstrated its potential and can get beyond some of the drawbacks of traditional systems. Security systems based on RFID have previously been put in place. The many known algorithms and their potential uses are covered in this overview. The comparison is provided in terms of the method/algorithm employed, the applicability, the measurement criteria, the benefits, and the limitations. © 2023 IEEE.

关键词： artificial intelligence chain management localization radio frequency identification received signal strength indication tracking vehicle tracking

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Comparison between Direct Torque control based on Space Vector Modulation with Conventional Direct Torque control Technique for Speed control of Three-phase Induction Motor 4

Comparison between Direct Torque Control based on Space Vect...

引用

4th international conference on Advances in Electrical, computing, communication and Sustainable Technologies, ICAECT 2024

作者： Suman, Neha Prasad, Upendra Kumar, Rahul Bit Sindri Department of Electrical Engineering Dhanbad India

ISBN: (纸本)9798350343670

This paper represents comparative performance analysis between switching table based direct torque control (ST-DTC) and direct torque control with space vector modulation (DTC-SVM) for different torque and speed pattern for three-phase induction motor. One of the modern control methods used to regulate AC motor speed is DTC. Basically, DTC is control scheme which directly control the stator flux and torque. Conventional DTC uses switching table for selection of voltage vector. In conventional DTC there is some disadvantages like high torque ripple, machine vibration and noise which are overcome in DTC-SVM technique. In DTC-SVM technique space vector modulation used to improve efficiency of motor by selecting the appropriate voltage vector. Two-level inverter is used for both DTC and DTC-SVM technique. Moreover, in DTCSVM technique have many more advantages like low ripple torque in transient state, lower current distortion, lower switching losses etc. Both the proposed techniques are implemented using MATLAB/ SIMULINK software. DTC-SVM technique provide better results as compare to ST-DTC technique. © 2024 IEEE.

关键词： Direct Torque control Induction Motor Space Vector Modulation Switching Table Two-level Inverter

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Inventory Management using Near Field communication (NFC) 6

Inventory Management using Near Field Communication (NFC)

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6th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Chopde, Abhay Keche, Vedant Karmalkar, Apoorv Kasodekar, Manas Department of E&TC Engineering Vishwakarma Institute of Technology Pune India

ISBN: (纸本)9798331522667

This research creates an NFC-inclusive website-based inventory management system that enhances tracking and management of stock. Scanning these tags allows users to obtain a specific product description without wasting time searching through the inventory. The solution is designed to enhance accuracy, efficiency, and user-friendliness for the convenience of the business through enhanced real time tracking and management of inventories. © 2025 IEEE.

关键词： Inventory control

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Proceedings of the 15th international conference on Cloud computing and Services Science, CLOSER 2025

Proceedings of the 15th International Conference on Cloud Co...

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15th international conference on Cloud computing and Services Science, CLOSER 2025

ISBN: (纸本)9789897587474

The proceedings contain 28 papers. The topics discussed include: performance and usability implications of multiplatform and WebAssembly containers;operations patterns for hybrid quantum applications;optimization of cloud-native application execution over the edge cloud continuum enabled by DVFS;energy-aware node selection for cloud-based parallel workloads with machine learning and infrastructure as code;security-aware allocation of replicated data in distributed storage systems;performance analysis of mdx ii: a next-generation cloud platform for cross-disciplinary data science research;data orchestration platform for AI workflows execution across computing continuum;framework for decentralized data strategies in virtual banking: navigating scalability, innovation, and regulatory challenges in Thailand;and anomaly detection for partially observable container systems based on architecture profiling.

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