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Navigating Challenges in IoT: applications, Limitations, Tools and Open Research Direction 13

Navigating Challenges in IoT: Applications, Limitations, Too...

引用

13th IEEE international conference on Communication Systems and Network technologies, CSNT 2024

作者： Ozaif, Md Mustajab, Suhel Alam, Mahfooz Aligarh Muslim University Department of Computer Science Aligarh India

ISBN: (纸本)9798350305463

The Internet of Things (IoT) has come out as a transformative technology paradigm which enables the seamless integration of physical objects into the digital world. With the rapid increase of connected devices and the increasing availability of data, IoT has found numerous applications across various domains such as buildings/homes, agriculture, healthcare, the environment, industries, etc. However, along with its promises, IoT also presents certain limitations and various challenges that require to be addressed for its global adoption. Lack of security and privacy, storage problems, trash disposal, energy requirements, the need for open standards, and novel use cases are a few of the difficulties. In the paper, an overview of IoT applications is provided, the limitations and challenges of IoT are discussed, the tools and technologies employed in IoT development are explored, and open research directions that can shape the future of IoT are presented. © 2024 IEEE.

关键词： Internet of things

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Energy Harvesting and Machine Learning Techniques for Internet of Things applications: A Review 1

Energy Harvesting and Machine Learning Techniques for Intern...

引用

1st international conference on Computing, Sciences and Communications, ICCSC 2024

作者： Tanwar, Nutan Dey, Rajiv Arya, Pradeep Kumar BML Munjal University Electronics and communication department Haryana Gurugram India Guru Ghasidas University Electronics and communication department Bilaspur India Bennett University Computer engineering department Noida India

ISBN: (纸本)9798350353648

The powerful platform that connects both the physical and digital realms is called the Internet of Things, or IoT. The standard of life has increased due to the current developments in Internet of Things (IoT) technologies, which have also enhanced human-technology engagement. The low expenses for positioning, remote availability, and intelligent operation of IoT nodes and sensors are the most important characteristics that propel the IoT's broad acceptance and rapid expansion in the ecological, health, and commercial domains. To solve the matter of energy shortages, energy harvesters, or EHs, are necessary for self-sustaining Internet of Things nodes. In this paper, an extensive analysis of machine learning (ML) techniques used in conjunction with EH-powered Internet of Things (IoT) devices to estimate and manage energy availability. The authors examined the machine learning techniques based on its applications, advantages and limitations on the basis of recent literature. © 2024 IEEE.

关键词： Adversarial machine learning

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Probabilistic Feamework for Modeling and Analyzing Complex Networks 15

Probabilistic Feamework for Modeling and Analyzing Complex N...

引用

15th international conference on Computing Communication and Networking technologies, ICCCNT 2024

作者： Nair, Lekshmi S Cheriyan, Jo Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Amritapuri India SAINTGITS College of Engineering Department of Computer Science and Engineering Kottayam India

ISBN: (纸本)9798350370249

Complex networks, characterised by intricate structures arising from the relationships and interactions among their constituent elements, play a pivotal role in various domains such as social networks, biological systems, and technological infrastructures. The evolution and dynamics of complex networks are analysed for various applications such as link prediction, information diffusion, and recommendation systems. Recent research has focused on the study of structural motifs and the probabilistic analysis of motifs to capture the dynamics of the network. The motifs, considered building blocks of the larger network structure, are recurrent patterns in the network. This study focuses on the different probabilistic models built on triads, which are sets of three interconnected nodes. We investigate six different probability distributions, including Poisson, Gamma, Exponential, Power Law, Gaussian, Lorentzian, and Gaussian Mixture Models (GMMs) that can be applied in the complex network to capture the insight of the connectivity pattern. The applications of this research extend to refining network models, improving simulations, and enhancing our understanding of the likelihood of observing distinct patterns within complex social networks. © 2024 IEEE.

关键词： Poisson distribution

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Initialization of Wireless Power Transmission in EVS Using Sensors 1

Initialization of Wireless Power Transmission in EVS Using S...

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1st international conference on Advances in computer Science, Electrical, Electronics, and Communication technologies, CE2CT 2025

作者： Divi, Gauraang Viyassomaan, T.C.K. Vivek, A. Amrita Vishwa Vidyapeetham Department of Electrical and Electronics Engineering Amritapuri India

ISBN: (纸本)9798331518578

Wireless Power Transmission (WPT) structures transfer electrical electricity from a supply to a load without counting on stressed connections. These systems are in particular attractive for plenty commercial applications due to their benefits, inclusive of decreased exposure to wires and secure energy transmission in destructive environmental conditions. This technology is enabled through inductive coupling among coils, known as the receiver coil and the transmitter coil. The adoption of this technology has garnered interest from diverse EV producers, who're actively working on enhancing extraordinary device topologies. In EV charging applications, the transmitter coil is typically embedded underneath the road and the receiver coil is installed on the vehicle above. Resonant inductive wireless energy transmission is usually employed for medium to excessive strength transfer programs, consisting of EV charging, due to its high efficiency. © 2025 IEEE.

关键词： Inductive power transmission

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Investigating Backscatter Communication in Eco-Friendly Systems for Portable Sensing 4

Investigating Backscatter Communication in Eco-Friendly Syst...

引用

4th IEEE international conference on Advance Computing and Innovative technologies in engineering, ICACITE 2024

作者： Bisht, Vimal Singh Shnawa, Ammar H. Al-Saidi, Imad Al-Din Hussein Alzubaidi, Laith H. Hameed, Hind Zaidan, Doaa Talib Graphic Era Hill University Department of Electronics & Communication Engineering Uttarakhand Bhimtal India National University of Science and Technology College of Technical Engineering DhiQar64001 Iraq Alkunooze University College Computer Engineer Department Basra Iraq The Islamic University College of Technical Engineering Department of Computers Techniques Engineering Najaf Iraq Al-Farahidi University Baghdad Iraq Kut University College Department of Laser and Optical Electronics Engineering Al Kut Iraq

ISBN: (纸本)9798350360165

the internet of things (iot) is a crucial technology that enables applications to be smoothly integrated across cyber-physical systems in a variety of scenarios. The energy constraints that battery-powered iot devices confront prevent them from being widely adopted, even if they have the potential to significantly improve things. The growing need for more capability in smaller device dimensions makes this problem more difficult to solve. To solve this issue, researchers have studied energy harvesting, wireless power transmission, and ways to reduce power use. This work sets itself apart by delving into backscatter transmission (backcom), a novel technique that combines sensing and wireless transmission. Backcom's ability to enable battery-free device operation may help create an ecologically friendly internet of things (iot). The article explores the possible applications of backcom in 'healthcare, agriculture, human activity recognition, transportation, and mobile iot' and gives an outline of the design, development, and working principles. In addition, the study explores the security and operational issues that these apps encounter and suggests workable solutions to guarantee strong energy efficiency. The paper concludes by examining potential uses of environmentally friendly backcom-based internet of things. © 2024 IEEE.

关键词： Energy harvesting

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Measuring Changes in Cortical Processes during VR-aided physical Exercise - An EEG-based Approach 46

Measuring Changes in Cortical Processes during VR-aided Phys...

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46th Annual international conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： O'Keeffe, Rory Mehta, Neha Shahar, Yair Mehrdad, Sarmad Lubetzky, Anat Atashzar, S. Farokh Nyu Department of Electrical and Computer Engineering United States Department of Physical Therapy United States Department of Electrical and Computer Engineering United States Department of Mechanical and Aerospace Engineering United States

ISBN: (纸本)9798350371499

The application of virtual reality (VR) technologies during physical therapy is gaining popularity due to enhanced outcomes and increased patient engagement. However, the neurological mechanisms responsible for the observed advantages of VR devices in clinical rehabilitation are poorly understood. In this study, we attempted to quantify the changes in cortical biometrics associated with immersion in VR during a physical task. Five healthy young adults performed boxing exercises with guidance from either a VR-based game (with VR) or an instructional video (without VR). The exercises were performed either at moderate or advanced intensity levels while 64-channel electroencephalography (EEG) was recorded. The EEG power spectral density (PSD) quantified the level of cortical activation. The cortical activation was higher with VR versus without VR at the advanced intensity level (p © 2024 IEEE.

关键词： Electroencephalography

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A Comparative Study of Elliptic curve and Hyperelliptic Curve Cryptography Methods and an Overview of Their applications

A Comparative Study of Elliptic curve and Hyperelliptic Curv...

引用

2024 international conference on Intelligent Systems for Cybersecurity, ISCS 2024

作者： Yadav, Anu Sharma, Prabha Gigras, Yogita The NorthCap University Department of Computer Science and Engineering Gurugram India Bharati Vidyapeeth College of Engineering N-Delhi Paschim Vihar India

ISBN: (纸本)9798350375237

The significance of cybersecurity in today's highly technological era cannot be overstated. With the advancement of modern technologies, various security measures have been developed. However, the gap to breach that security is also widening, compelling the need for enhanced security techniques. Hyper Elliptic Curve Cryptography (HECC) distinguishes itself from previous technologies by its distinct features, including untraceability, compressibility, and notably, its finite condition and key size. This research paper investigates HECC and its improved variant, Elliptic Curve Cryptography (ECC), while also conducting a survey of real-world applications where ECC and HECC have been utilized. © 2024 IEEE.

关键词： Cybersecurity

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IoT-Based Security Detection for Cloud Web applications: Leveraging Internet of Things Approaches 1

引用

3rd international conference on Mechanical and Energy technologies, ICMET 2023

作者： Sudhakar, A.V.V. Shweta, Shashwati Kumar, K. Suresh Dube, Anand Prakash Lakshmikanth, R. Sravan, Padala Department of EEE School of Engineering SR University Telangana Warangal India Tilak Maharashtra Vidyapeeth Vidyapeeth Bhavan Gultekdi Pune India MBA Department Panimalar Engineering College Varadarajapuram Poonamallee Chennai India Department of Computer Science School of Management Sciences Uttar Pradesh Varanasi India Department of Management Studies Adithya Institute of Technology Coimbatore Kovilpalayam India School of Computer Science and Artificial Intelligence SR University Telangana Warangal India

ISBN: (数字)9789819727162

ISBN: (纸本)9789819727155

The surge of Internet of Things (IoT) gadgets and cloud-based applications has been increasing the pressure to manage data reliability and security in digital space. This abstract presents examining new techniques for the detection of security among cloud web applications with the capabilities of IoT. Through the equipment of IoT devices, there will be the enhancement of real-time monitoring and detection of safety threats in cloud-based applications that are Internet-based. This synergy enables banks to have access to a variety of data sources, that is, both internal and external data. It makes the collection of large volumes of data possible, and so the banks have a good picture of the environment in which the application runs. With the use of machine learning and AI algorithms in the background, the existing anomalies and known potential vulnerabilities can be found fast, hence paving the way for proactive remediation of the present and future threats. Besides, the sensor through IoT can be utilised to measure physical security areas, which include environmental conditions and access control device integrity, and they make sure provision of security to cloud web applications. A single security architecture that utilises IoT and cloud technologies will allow the organisations to have robust defences, enhanced data protection, and a diminishing risk level, thus keeping the digital services in a trusted and dependable state in an always advanced threat environment. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Internet of things

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A Diabetes Monitoring System and Health-Medical Service Composition Model in Cloud Environment 2

A Diabetes Monitoring System and Health-Medical Service Comp...

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2nd international conference on Artificial Intelligence and Machine Learning applications, AIMLA 2024

作者： Nithiya, A. Aparna, P. Bharathipriya, P. Kalpana, P. Mathumitha, P. M.Kumarasamy College of Engineering Department of Information Technology Karur India

ISBN: (纸本)9798350349221

Patients with diabetes who are continuously monitored have better lives. Utilizing a variety of technologies, including smart devices, deep learning, computer vision and automated learning can reduce the cost burden on the healthcare system. Health care can now be provided remotely and with personalization thanks to various communication technologies. The risk of acquiring diabetes and its complications, like cardiovascular disease, can be decreased by engaging in physical exercise, maintaining a healthy weight, and following a nutritious diet. Long-term health conditions and their aftereffects can be avoided or postponed with a healthy lifestyle;however few people adhere to all suggested self-care practices. For precise diabetes prediction and proactive care, this paper suggests integrating a machine learning-driven strategy into a cloud-based health service. Strong predictive models are constructed by the system by utilizing a variety of datasets, including lifestyle characteristics, medical records, and genetic predispositions. An analysis of these datasets is done by machine learning methods. In addition, real-time monitoring and customized advice for those at risk of diabetes are made possible by the incorporation of these predictive models into a cloud-based health care architecture. © 2024 IEEE.

关键词： Deep learning

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Robotic Hand-Eye Coordination Fusion 5

Robotic Hand-Eye Coordination Fusion

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5th international conference on Intelligent Data Science technologies and applications, IDSTA 2024

作者： Patel, Akshar City College of New York Department of Computer Science New YorkNY United States

ISBN: (纸本)9798350354751

Hand-eye coordination is crucial for performing tasks like reaching for objects in both humans and robots. This paper investigates two methods - visual servoing and deep reinforcement learning (RL) - to achieve hand-eye coordination in robotic systems. Visual servoing typically leverages video tracking and online Jacobian learning to control the robot based on camera-robot geometry, while RL uses neural networks to learn a global visuomotor policy. I conducted experiments using the WAMVisualReach environment to compare these methods in terms of sample complexity and task performance. Despite the reliance on simulation, my findings suggest promising avenues for real-world applications, particularly when combining both methods to enhance sample efficiency and robustness. Future work will focus on validating these methods on physical robots and exploring their performance in more complex tasks like pick-and-place. © 2024 IEEE.

关键词： Visual servoing

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