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

共 9443 条记录，以下是961-970 订阅

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Finite Element Analysis of Uncovered Coplanar Interdigital Electrodes for Capacitive sensor applications 3rd

Finite Element Analysis of Uncovered Coplanar Interdigital E...

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3rd international conference on Smart technologies, Systems and applications, SmartTech-IC 2022

作者： Véliz, Bremnen Dueñas, Renato Barcia, Orlando Robalino, Lenin E. Cevallos NANOTECH Research Group Electronic Engineering Department Universidad Politécnica Salesiana Guayaquil Ecuador

ISBN: (纸本)9783031322129

In this paper, COMSOL simulations are used to analyze the capacitance of uncovered coplanar interdigital capacitors of two configurations varying the dimensions, but with constant finger electrode spacing and active area: one of 8 mm × 4 mm, and the second with 4 mm × 8 mm. The expression of a finite-layer conformal mapping model has been modified to consider the finger electrode thickness which is in very good agreement with the simulations. The results indicated that the capacitance for the two configurations is insignificantly different, so either can be used in a sensing application. It has been verified the designs with the highest capacitances are those that have a smaller electrode width, higher thickness of the dielectric substrate, and higher thickness of the electrode, but a capacitance saturation exits when the ratio of substrate thickness and electrode width is approximately 2.5 or the substrate thickness is half of the periodicity ratio. Electrostatic simulations showed a higher concentration of 2D electrical potential in the active area when electrode width decreases, reason why the capacitance is increased. The finding found should be taken into account by designers to fabricate capacitive sensors and micro-supercapacitors based on interdigital electrodes. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Capacitance

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sensor-driven Smart Environments: Enabling technologies for IoT applications

Sensor-driven Smart Environments: Enabling Technologies for ...

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Communication, Computer Sciences and Engineering (IC3SE), international conference on

作者： Lipsa Das Sarthak Dinesh Kumar Sachin Kumar Deepshikha Bhargava Diksha Hazarika Nandita Tripathi Amity School of Engineering & Technology Amity University Greater Noida UP India Amity Institute of Information Technology Amity University Greater Noida UP India GGSIPU New Delhi India Bharat Sanchar Nigam Limited New Delhi India Allied Sciences Amity University Greater Noida UP India

ISBN: (数字)9798350366846

ISBN: (纸本)9798350366853

The Internet of Things is a technology that connects devices and sensors to exchange data and automate tasks across various domains. It combines centric detector networks (ICSN) and Wireless sensor and Actuator Network (WSAN). Now a days this IoT has become even smarter when smart sensors are being used. An integral part of IoT technology are sensors. IoT enables communication between people and machines using any path in the network, providing numerous applications. sensors play a crucial role in IoT systems as they are the primary data acquisition units. They are used in various applications such Wireless and single-sensor networks provide structural health, traffic management, smart parking, lighting, smart water and agriculture, military, and smart buildings. The article provides a full analysis of sensors, their types and significance in IoT, and how they detect and retrieve data from anywhere at any time.

关键词： Wireless communication Wireless sensor networks Smart buildings Military computing Lighting Medical services sensor systems

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Deep Learning Framework for Speaker Verification Under Multi sensor, Multi Lingual and Multi Session Conditions 1

引用

7th international conference on Information and Communication Technology for Intelligent Systems, ICTIS 2023

作者： Sanshi, Pratham Kuruvalli, Likhith Reddy Chikkamath, Satish Nirmala, R.S. KLE Technological University Karnataka Hubballi India

ISBN: (数字)9789819939824

ISBN: (纸本)9789819940394

Deep learning algorithms have significantly prevailed as a stand-in for i-vector in numerous applications such as speaker recognition, diarization, segmentation and verification. CNN when fed directly with raw voice fragments have resulted in propitious outcomes. Instead of using conventional hand-crafted features, CNNs learn low-level speech patterns using waveforms, which allows the network to better represent crucial narrow band speaker properties like pitch and formants. These narrow band features are less susceptible to surrounding noise. The design of neural network becomes significant to achieve this purpose. This study suggests the use of SincNet, an unique CNN architecture which enables the first convolutional layer to find deep relevant filters. Band-pass filters are implemented via parameterized sinc functions, on which SincNet is built. The standard CNNs normally learns all elements of each filter, where as the sincnet technique learns only high and low cutoff frequencies directly from raw fed data. This provides a highly compact and effective method to produce a unique filter bank that is precisely tuned for the particular application. Our research on the speaker verification task illustrate that the suggested architecture attains higher speed and performs better than the regular CNN. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Filter banks

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Advanced Autonomous Navigation technologies for UAVs: Challenges and Opportunities

Advanced Autonomous Navigation Technologies for UAVs: Challe...

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Innovative Research in Applied Science, Engineering and Technology (IRASET),conference on

作者： Issam Senhaji-Mouhaddib Samir Bouzakri Ismail Lagrat Lab of Advanced Systems Engineering Ibn Tofail University ENSA Kenitra Morocco

ISBN: (数字)9798350309508

ISBN: (纸本)9798350309515

The utilization of Unmanned Aerial Vehicles (UAVs) has revolutionized numerous industries, with navigation being a crucial factor in ensuring their operational success. This literature review examines the subject of UAV navigation, discussing fundamental concepts, GPS-denied challenges, and cutting-edge technologies. The review commences with an explanation of the basic principles of UAV navigation, including the employment of IMUs, GPS, LiDAR, and Stereo Vision Systems. A dedicated section then delves into the challenges posed by GPS-denied environments, emphasizing the importance of GPS in navigation and exploring alternative approaches. The subsequent sections investigate advanced navigation technologies, such as INS/IMU, Multi-sensor Fusion, and AI applications. These innovative research areas cover enhancements to sensors, the development of hybrid navigation systems, deep learning for sensor fusion, and other related topics. The conclusion emphasizes the transformative potential of emerging technologies, providing a roadmap for researchers and practitioners. The identified research directions aim to address current limitations and develop next-generation UAV navigation systems capable of precise navigation in complex and challenging environments.

关键词： Technological innovation Navigation Reviews Collaboration sensor fusion Autonomous aerial vehicles sensor systems

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Multi-Objective Optimization for Coverage and Connectivity in Wireless sensor Networks

Multi-Objective Optimization for Coverage and Connectivity i...

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international conference on Modern Circuits and Systems technologies (MOCAST)

作者： Rahul Priyadarshi Raj Vikram ZeKun Huang Tiansheng Yang Rajkumar Singh Rathore Faculty of Engineering and Technology ITER Siksha ‘O’ Anusandhan (Deemed to be University) Bhubaneswar India Department of Computer Science and Engineering C. V. Raman Global University Bhubaneswar India Shanxi University Taiyuan City Shanxi Province China University of South Wales Pontypridd United Kingdom Cardiff School of Technologies Cardiff Metropolitan University Cardiff United Kingdom

ISBN: (数字)9798350385427

ISBN: (纸本)9798350385434

As wireless sensor networks (WSNs) make real-time data collecting and analysis possible, they are essential to many applications. WSNs must strike a balance between connection and coverage goals in order to operate at peak efficiency. In this work, we provide a multi-objective optimization strategy specifically designed for WSN deployment: MOO-BWSND. We show via extensive testing that, as compared to single-objective optimization techniques, MOO-BWSND is successful in enhancing coverage, connection, throughput, latency, and reliability all at once. Our research emphasizes how crucial it is to take connection and coverage into account when designing WSNs in order to improve network performance in a variety of deployment scenarios.

关键词： Wireless communication Wireless sensor networks Circuits and systems Optimization methods Throughput Real-time systems Reliability

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Authentication Protocol for Wireless sensor Network in the Internet of Things 2

Authentication Protocol for Wireless Sensor Network in the I...

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2nd IEEE international Maghreb Meeting of the conference on Sciences and Techniques of Automatic Control and Computer Engineering, MI-STA 2022

作者： Elhabrush, Hala Ahmeda, Shubat University of Tripoli Computer Engineering Department Tripoli Libya

ISBN: (数字)9781665479189

ISBN: (纸本)9781665479189

The Internet of Things (IoT) has gained a lot of attention due to its applications in many areas including health, agriculture, industry and transportation, etc. There are many technologies such as Wireless sensor Network (WSN) that have been used to implement the IoT. The IoT uses WSN as a basic technology that provides access to sensors which collect required parameters. These sensors suffer from limitations such as low computation capability, small memory and limited energy resources, which make WSN security a major challenge. Authentication is one of the essential security services that ensure the data access legitimacy in WSN. Porambage et al. proposed an authentication protocol for WSN applications in the distributed IoT. Based on the reviews and analysis of this protocol, it was found that it cannot resist many attacks, including user impersonation, sensor impersonation and man-in-The-middle attacks. To Overcome these weaknesses, an authentication protocol based on Elliptic Curve Cryptography (ECC) for WSN in the IoT is developed and described in this paper. The security and performance of the proposed protocol have been evaluated and compared with Porambage et al.'s protocol. The comparison results showed that the proposed protocol is 49.88% more efficient in terms of computation cost and communication cost, and has a higher security level by eliminating the above mentioned attacks. © 2022 IEEE.

关键词： Wireless sensor networks

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The Best Frequency Carrier in a Multipath Fading Environment for Wireless sensor Network Transmission

The Best Frequency Carrier in a Multipath Fading Environment...

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Communication Engineering and Emerging technologies (ICoCET), IEEE international conference on

作者： Ahmad Firdausi Galang P.N. Hakim Department of electrical Engineering Faculty of Engineering Universitas Mercu Buana Jakarta Indonesia

ISBN: (数字)9798331504144

ISBN: (纸本)9798331504151

The frequency of wireless sensor networks is the frequency range used by wireless sensor networks to communicate. The optimal frequency for a wireless sensor network depends on several factors, including the operating environment, desired communication distance, power requirements, and frequency regulations in the region under consideration. The frequency range for wireless sensor networks currently covers 433 MHz, 868 MHz, 920 MHz. In general, some wireless sensor applications choose lower frequencies for wider ranges, whereas others choose higher frequencies for better performance. From the results of our investigation, we found that 868 and 920 MHz frequencies provide the best frequency compared to 433 MHz. This can be observed in measurements at a distance of 100 m using either the LoRa radio configuration or low sensitivity. The 868 MHz and 920 MHz frequencies have the highest RSSI values when compared with the 433 MHz frequency. The 868 MHz frequency has an RSSI of 101.2 dBm, the 920 MHz frequency has -97.4 dBm, and the 433 MHz frequency has less than 148 dBm, which cannot be measured because it was too low.

关键词： Wireless communication Fading channels Wireless sensor networks Sensitivity LoRa Battery charge measurement Frequency measurement Batteries Frequency control

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Flood monitoring: a LoRa based case-study in the city of L'Aquila 17

Flood monitoring: a LoRa based case-study in the city of L'A...

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17th conference on Ph.D Research in Microelectronics and Electronics (PRIME)

作者： Ragnoli, Mattia Stornelli, Vincenzo Del Tosto, Dina Barile, Gianluca Leoni, Alfiero Ferri, Giuseppe Univ Aquila Dept Ind & Informat Engn Laquila Italy Municipal Adm LAquila Environm & Civil Protect Sect Laquila Italy

ISBN: (纸本)9781665467001

Low Power Wide Area Network (LPWAN) technologies are particularly suited for environmental monitoring applications due to their potential to achieve small and inexpensive Internet of Things (IoT) systems. In this paper, a LoRa based Wireless sensor Network (WSN) environmental and flood-oriented monitoring system is presented, covering the sensor node design, realization and real world scenario test results. The system is composed of a microcontroller based sensory device, oriented to raw analog data sampling and manipulation, through a LoRa radio interface used to communicate with a LoRaWAN network structure, followed by a remote web section for information analysis and flooding alarm. Waterproof temperature sensors are employed onboard to enhance the environmental monitoring capability. A MEMS accelerometer device allows alert activation in case of structural activity or vandalism. A power management analysis of the WSN node is provided, so to overcome this critical aspect, in LPWAN implementations. The system is oriented to a modular perspective to achieve different sensor interfacing functionalities.

关键词： Low Power Wide Area Network (LPWAN) WSN wireless sensor network flooding environmental monitoring LoRaWAN node power analysis remote sensing Internet of Things (IoT)

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Human Activity Recognition with Smartphones using Machine Learning Algorithm

Human Activity Recognition with Smartphones using Machine Le...

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Knowledge Engineering and Communication Systems (ICKECS), international conference on

作者： K Ghamya K Prema D Abhinay Reddy K Varaprasad K Navyasri Sai S Tejesh Department of CSE(AI&ML) School of Computing Mohan Babu University Tirupati India Department of CSE Sree Vidyanikethan Engineering College Tirupati India

ISBN: (数字)9798350359688

ISBN: (纸本)9798350359695

Human Activity Recognition with Smartphones (HAR) leverages the ubiquitous nature of smartphones equipped with sensor technology to identify and classify daily human activities from the generated data. This paper explores the field of HAR, focusing on the use of smartphone sensors like magnetometers, gyroscopes, and accelerometers to capture movement patterns. This provides a comprehensive exploration of HAR, delving into methodologies such as feature extraction data acquisition, and the application of various machine learning algorithms for activity classification. The discussion encompasses challenges and limitations intrinsic to smartphone-based HAR, addressing issues like data variability and device heterogeneity. Promising research directions are highlighted, with an emphasis on context awareness, multi sensor fusion, and deep learning approaches, aiming to enhance the robustness and accuracy of activity recognition systems. The abstract concludes by emphasizing the potential applications of HAR in healthcare, where it could revolutionize patient monitoring, fitness monitoring, optimizing routines, and personalized user experiences, showeasing its role in shaping the future of health-related technologies. This model contributes valuable insights into the dynamic field of HAR, considering the synergy between smartphones, sensor technologies, and machine learning algorithms to propel innovative applications and personalized user experiences.

关键词： Knowledge engineering Patient monitoring Machine learning algorithms Magnetometers Medical services sensor fusion Propulsion

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Application of the Least Squares Method in Calculations of Radiation Utilization Factors for Industrial Video Cameras Based on Large-Format CMOS Matrices

Application of the Least Squares Method in Calculations of R...

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international conference on Actual Problems of Electron Devices Engineering, (APEDE)

作者： Ekaterina Viktorovna Zaytseva Alina Alexandrovna Kochneva Evgeny Vladimirovich Katuntsov Maria Romanovna Kiba Oksana Mihalovna Romakina Department of Informatics and Computer Technologies St. Petersburg Mining University St. Petersburg Russia Faculty of Infocommunication Technologies National Research University ITMO St. Petersburg Russia

ISBN: (数字)9798350393316

ISBN: (纸本)9798350393323

This paper considers the application of the least-squares method to calculate the polynomial approximation coefficients of the relative spectral sensitivity curves of CMOS sensors and the human eye. The obtained polynomials were used for calculations of radiation utilization coefficients. The used algorithms showed their efficiency and speed in this subject area and allowed to calculate the technical characteristics of the designed video surveillance systems.

关键词： Sensitivity Machine vision sensor phenomena and characterization Video surveillance sensor systems and applications Cameras Approximation algorithms Polynomials Electron devices Least mean squares methods

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