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检索条件"任意字段=International Conference on Sensor Technologies and Applications, SensorComm"

共 9386 条记录，以下是91-100 订阅

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sTransforming Radiology with IoT-Enabled Smart Wireless Solutions in Healthcare Infrastructure

sTransforming Radiology with IoT-Enabled Smart Wireless Solu...

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Disruptive technologies (ICDT), international conference on

作者： Karishma Sharma Amit Kumar Pathak Mangalayatam University Aligarh Uttar Pradesh India T S Mishra University Lucknow India

ISBN: (数字)9798331519582

ISBN: (纸本)9798331519599

This study aims to review the use of Internet of Things (IoT) technology for radiology applications in order to improve diagnostic accuracy, organizational workflow, and patient-centric otherwise known as patient-oriented care. The main intent is to evaluate the role of IoT solutions in changing radiology processes through wireless connectivity, intelligent diagnosis, and maintenance. Quantitative comparison of imaging performance was performed together with the qualitative data collected from healthcare practitioners. Information was gathered from IoT infused radiology systems, including real-time data exchange capabilities, equipment availability and artificial intelligence derived diagnosis. The findings point that IoT systems enhance diagnostics productivity by minimizing processing time and offer offsite diagnostics across 5G networks and the cloud. Maintenance was done based on a prediction that reduced equipment time off and analytics threw light on early diseases stages with special focus on cancer treatments. Overcoming challenges with the use of SOP and improved security of systems will go further to advance the prospect of IoT in the healthcare industry. The study will highlight the need to create and sustain practice improvement for the enhancement of resilient patient-centered radiology.

关键词： Wireless communication Wireless sensor networks Accuracy Imaging Medical services Radiology Real-time systems Maintenance Internet of Things Communication system security

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DLIoMT: Deep Learning Approaches for IoMT-Overview, challenges and the future

DLIoMT: Deep Learning Approaches for IoMT-Overview, challeng...

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international conference on Computer, Electrical & Communication Engineering (ICCECE)

作者： V Harshni Satyendr Singh R Indhumathi Neelam Sanjeev Kumar Subrata Chowdhury Sudhansu Shekhar Patra Department of BME SRM Institute of Science and Technology Ramapuram campus Chennai India Computer Science & Engg Department BML Munjal University Gurugram India Department of Computer Science and Engineering (E.Tech) SRM Institute of Science and Technology Vadapalani Campus Chennai India Department of Computer Science and Engineering Sreenivasa Institute of Technology and Management Studies Chittoor Andra Pradesh India School of Compter Applications Kalinga Institute of Industrial Technology (KIIT) Deemed to be University Bhubaneswar Odisha India

ISBN: (数字)9798331513894

ISBN: (纸本)9798331513900

An artificial intelligence (AI) system works by combining a computer program and algorithms to make a device more efficient and intelligent for tasks that are typically performed by humans. Deep learning, machine learning, conventional neural networks, recognition, and fuzzy logic are a few of the subsets of AI with unique capabilities and functions that can enhance modern medical science. Such innovations simplify human interference in clinical diagnostic procedures, decision making, and medical imaging. To improve human health, connected biomedical network devices and software applications are interconnected to form the Internet of Medical Things (IoMT), the next generation of bioanalytical tools. This review paper provides in-depth analysis of the IoMT encasing its definition, technologies, applications, challenges, and future prospects.

关键词： Deep learning Technological innovation Reviews Smart healthcare Internet of Medical Things Software sensor systems sensors Security Medical diagnostic imaging

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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...

引用

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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Edge AI in 6G: Vision, technologies, and applications

Edge AI in 6G: Vision, Technologies, and Applications

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Pervasive Computational technologies (ICPCT), international conference on

作者： Vanessa Azucena Monzón Centeno Jesús Emilio Agustín Padilla Caballero Claudia Rossana Poma García Jonathan Orihuela Flores Wilmer Amado Huamán Malca Carlos Alberto Ferrando Gómez Escuela de Posgrado Universidad César Vallejo Lima Perú Pregrado Universidad Nacional de Educación Enrique Guzmán y Valle Lima Perú Pregrado Universidad Nacional del Callao Callao Perú

ISBN: (数字)9798331508685

ISBN: (纸本)9798331519476

The development of wireless connections is being pushed by an unprecedented rise of artificial intelligence (AI) software, with 6G becoming a game-changing technology. However advanced artificial intelligence (AI) needs a lot of connectivity and processing power, which causes delays, energy waste, network traffic, and privacy breaches. By combining sensing, interaction, computing, and intellect, Edge AI—which incorporates model learning and reasoning capacities at the connection's edge—offers an innovative approach for 6G network deployments. With an emphasis on distributed machine learning algorithms and incorporated wireless networking protocols, this article offers a vision for sustainable and reliable edge artificial intelligence (AI) systems. To fit edge AI, the article also covers novel design concepts, service-driven utilization techniques for optimizing, and a complete end-to-end system framework.

关键词： 6G mobile communication Wireless communication Wireless sensor networks Edge AI Telecommunication traffic Software sensors Reliability Internet of Things Artificial intelligence

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GPS-Independent Indoor Navigation-Enabled Autonomous Wheeled Robot with Obstacle Avoidance

GPS-Independent Indoor Navigation-Enabled Autonomous Wheeled...

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Device Intelligence, Computing and Communication technologies, (DICCT), international conference on

作者： Marrapu Vasanth Vardhan Tadepalli hasitha Sowmya Perumalla Yamini Priya Shaik Nafeez Wahab B.V.Satish Babu D. Bharadwaja Department of Information Technology Prasad V. Potluri Siddhartha Institute of Technology Vijayawada India

ISBN: (数字)9798331543358

ISBN: (纸本)9798331543365

In certain situations, GPS-based wheeled robots are ineffective in places where GPS signals are unavailable or unreliable, such as remote areas and indoor spaces. As a result, GPS independent autonomous wheeled robots are gaining importance for applications like warehouse management, autonomous delivery, healthcare assistance, smart building automation, indoor transportation systems, and robotic assistance for elderly or disabled individuals. This paper proposes a GPS independent navigation system for wheeled robots, enabling them to autonomously follow predefined paths and to strategically avoid obstacles during its mobility. The robot modifies its route in real-time, according to obstacle detection. The wheeled robot utilizes linear regression machine learning technique to predict and avoid future obstacles. The system incorporates ultrasonic sensors for obstacle detection, wheel encoders to track wheel rotations and distance traveled, and a gyroscope for orientation control. This allows the robot to detect changes in its rotational movement and to correct its mobility or direction accordingly. By dynamically adjusting the wheeled robot's path and travel time based on sensor inputs, the system ensures smooth navigation in cluttered or remote environments. Obtained Experimental results indicates that our proposed navigation model outperforms existing systems in path efficiency and obstacle avoidance, offering a more reliable and efficient GPS-independent navigation solution.

关键词： Wheels Position control Machine learning Robot sensing systems sensor systems sensors Mobile robots Reliability Collision avoidance Global Positioning System

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AI-Powered Soil Stability Assessment and Landslide Forecasting with Multi-sensor Networks, Edge Computing, and Jetson Nano Integration

AI-Powered Soil Stability Assessment and Landslide Forecasti...

引用

Trends in Material Science and Inventive Materials (ICTMIM), international conference on

作者： N. Muthukumaran A. Vignesh S. Aruna M. Jenish T. Vinoth Kumar Shanthi Madasamy Department of ECE Sri Eshwar College of Engineering Coimbatore India Department of EEE Dr. N.G.P Institute of Technology Coimbatore India Department of EEE RVS College of Engineering and Technology Coimbatore India Department of EEE JCT College Of Engineering And Technology Coimbatore India

ISBN: (数字)9798331501488

ISBN: (纸本)9798331501495

Landslides pose a severe threat to mountainous regions, often resulting in catastrophic damage and loss of life. Existing prediction methods rely on limited data sources and infrequent monitoring, leading to delays in early warnings. Previous technologies have explored individual sensor applications, such as Ground-Penetrating Radar (GPR) and seismic sensors, but lack a comprehensive multi-sensor approach with real-time processing. Notable cases, like the Wayanad landslides in Kerala, India, highlight the urgent need for advanced predictive systems. This study proposes an AI-driven landslide prediction system using a network of 40 sensor-equipped slave kits. Each kit integrates GPR, seismic, Electromagnetic Induction (EMI), ultrasonic, LiDAR, capacitance probes, gravimeters, Electrical Resistivity Tomography (ERT), and magnetometers onto a Teensy 4.1 microcontroller with an ESP8266 for wireless data transmission. Data is processed at a central master unit featuring a Jetson Nano module, employing the ALEXNET+BILSTM model for real-time analysis of soil stability and landslide risk. By leveraging edge computing, this system enables rapid decision-making and early warnings, addressing the limitations of existing methods. Its scalable, cost-effective architecture enhances environmental monitoring, offering a robust solution for landslide-prone communities and significantly improving disaster preparedness.

关键词： Wireless communication Landslides Wireless sensor networks Soft sensors Soil Tomography Stability analysis Real-time systems Terrain factors Edge computing

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Cognitive Congestion Alleviation Framework in IoT-Enabled WSN for Next-Gen Intelligent Transport Systems via Optimized Capsule Attention Network

Cognitive Congestion Alleviation Framework in IoT-Enabled WS...

引用

Intelligent Data Communication technologies and Internet of Things (IDCIoT), international conference on

作者： R. Mohandas Sudha Y Narmatha P P.Venkata Prasad N. Manikandan Department of Electronics & Communication Engineering Chennai Institute of Technology Chennai Tamil Nadu India Department of Computer Science and Engineering Presidency University Bangalore Karnataka India Department of Computer Science and Engineering Sri Sairam College of Engineering Bangalore Karnataka India Department of Electrical and Electronics Engineering Chaitanya Bharathi Institute of Technology Hyderabad Telangana India Department of Business Administration Kalasalingam Academy of Research and Education Kalasalingam Business School Krishnankoil Viruthunagar India

ISBN: (数字)9798331527549

ISBN: (纸本)9798331527556

The rapid advancement of Intelligent Transportation Systems (ITS) has heightened the importance of reliable, real-time data transmission in Wireless sensor Networks (WSNs). However, congestion in data-heavy Internet of Things (IoT)-enabled networks remains a critical challenge, impacting communication efficiency and decision-making in ITS. In high-density IoT-ITS applications, traditional congestion control methods are insufficient to address the complexity and dynamics of data flows. Existing solutions often fail to adapt in real time to varying traffic loads, leading to delays and data loss. There is a strong need for a congestion alleviation framework capable of intelligently prioritizing data while dynamically managing network resources to ensure seamless information exchange in large-scale deployments. This study presents a Cognitive Congestion Alleviation Framework in IoT-Enabled WSN for Next-Gen Intelligent Transport Systems via Optimized Capsule Attention Network (V-CapMiAN-Parr), which combines the Vectorized Adaptive Capsule Neural Network (V-AdCapNet) and Multi-instance Attention Network (MAN), fine-tuned by the Parrot Optimizer (ParrOpt). This integration aims to effectively detect, mitigate, and prevent congestion through an advanced capsule-based attention mechanism with adaptive optimization. The suggested V-CapMiAN-Parr framework demonstrated significant improvements in congestion control, achieving data throughput efficiencies above 99.7%, packet delivery rates above 99.5%, and network reliability reaching 99.2% under high traffic loads. The model's adaptive weighting mechanism ensures real-time responsiveness and reliability, crucial for next-gen ITS applications. The V-CapMiAN-Parr framework effectively addresses congestion issues in IoT-enabled WSNs, providing a robust, scalable solution for ITS applications. This cognitive framework's advanced data prioritization and adaptive optimization capabilities are well-suited for enhancing the performanc

关键词： Wireless communication Wireless sensor networks Adaptive systems Transportation Telecommunication traffic Real-time systems Internet of Things Data communication Optimization Next generation networking

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IoT Based Water Management and Monitoring System

IoT Based Water Management and Monitoring System

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Intelligent Data Communication technologies and Internet of Things (IDCIoT), international conference on

作者： Muthulakshimi S Malathy Sathyamoorthy Akash S Charumathi P Sri Suvathi N M Department of Information Technology KPR Institute Of Engineering And Technology Coimbatore India

ISBN: (数字)9798331527549

ISBN: (纸本)9798331527556

IoT (Internet of Things) has revolutionized various industries, and water management is no exception. This abstract introduces an IoT-based water management system designed to address the challenges of water scarcity, pollution, and inefficient distribution. Leveraging IoT devices like sensors, actuators, and communication modules, the system creates a networked infrastructure for real-time monitoring and management of water resources. sensors deployed throughout the water distribution network collect data on flow, pressure, quality, and consumption patterns, which is then transmitted to a central server or cloud platform. The system instantly detects pipe leakage and promptly halts the water flow, even in the absence of human presence. This automated response helps prevent water scarcity. The system supports remote monitoring and control via web-based dashboards or mobile applications, facilitating proactive maintenance and troubleshooting. Additionally, it provides data analytics and reporting functionalities, empowering stakeholders to make informed decisions and promote water conservation initiatives. Overall, this IoT-based water management system offers a comprehensive solution to enhance sustainability, efficiency, and resilience in water distribution networks.

关键词： Water conservation Water pollution sensor systems Real-time systems Maintenance Internet of Things Stakeholders Sustainable development Water resources Intelligent sensors

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Knock Detecting Door Unlock System using IOT

Knock Detecting Door Unlock System using IOT

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Intelligent and Innovative technologies in Computing, Electrical and Electronics (IITCEE), international conference

作者： Divyam Arora Anika Kirana Venkat Sudarshan Manjunath G Asuti Dept. of ECE B N M Institute of Technology Bengaluru India

ISBN: (数字)9798331515911

ISBN: (纸本)9798331515928

This paper presents the design and implementation of a Knock Detecting Door Lock System, aimed at enhancing security by eliminating traditional lock and key mechanisms. The proposed system utilizes an ESP32-based setup to detect specific knocking patterns, ensuring that only authorized individuals can unlock the door. The system addresses common security issues associated with key duplication and passcode vulnerabilities by relying on a personalized knocking sequence. Key features include the ability to set, and update knocking patterns, detect discrepancies, and maintain a balance between security and convenience. The hardware components include an ESP32, piezo sensors, and a servo motor, while the software is developed using the Arduino IDE. It can also incorporate two-factor authentication by generating a One-Time Password (OTP) when a valid knocking pattern is recognized. The OTP is sent to the user’s mobile device as an additional verification step before access is granted. By integrating the knock-based mechanism with the OTP feature, this system offers a robust, user-friendly solution that addresses both analog and digital security needs. The system’s innovative approach offers a cost-effective, efficient, and secure solution for modern door locking needs, with potential applications in various settings, including residential and commercial properties.

关键词： Vibrations Accuracy Authentication sensor systems Software Pattern recognition Security Intelligent sensors Smart phones Testing

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Enabling sensor as Virtual Services through Lightweight sensor Description

Enabling Sensor as Virtual Services through Lightweight Sens...

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4th international conference on sensor technologies and applications (sensorcomm)

作者： Alam, Sarfraz Noll, Josef UNIK Univ Grad Ctr Kjeller Norway

ISBN: (纸本)9780769533308

This paper proposes a virtualized Internet of Services (IoS) space framework for connected objects. The framework allows to expose the connected objects sensor capabilities, functionalities and data as virtual sensor services and advertise these services to social network sites in addition to service registries for the enablement of a connected people IoS space. In this regard, we develop lightweight ontologies both for sensor capabilities and functionalities and the IoS space. The paper also offers a policy based service execution approach to abate the traffic to and from a sensor node which in turns increases the sensor node battery life. We select an electrical vehicle as case study and implement a proof-of-concept by using semantic technologies and Sun SPOT sensor platform.

关键词： Internet of Services IoS IoT Policy Semantic technologies sensor networks Virtualization Electrical Vehicle

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