Subjects -> INSTRUMENTS (Total: 63 journals)
Showing 1 - 16 of 16 Journals sorted by number of followers
International Journal of Remote Sensing     Hybrid Journal   (Followers: 161)
IEEE Sensors Journal     Hybrid Journal   (Followers: 119)
Remote Sensing of Environment     Hybrid Journal   (Followers: 96)
Journal of Applied Remote Sensing     Hybrid Journal   (Followers: 87)
Modern Instrumentation     Open Access   (Followers: 58)
Remote Sensing     Open Access   (Followers: 57)
International Journal of Remote Sensing Applications     Open Access   (Followers: 48)
International Journal of Instrumentation Science     Open Access   (Followers: 42)
Experimental Astronomy     Hybrid Journal   (Followers: 39)
Measurement and Control     Open Access   (Followers: 36)
Photogrammetric Engineering & Remote Sensing     Full-text available via subscription   (Followers: 34)
Journal of Instrumentation     Hybrid Journal   (Followers: 32)
Remote Sensing Science     Open Access   (Followers: 30)
Applied Mechanics Reviews     Full-text available via subscription   (Followers: 27)
Review of Scientific Instruments     Hybrid Journal   (Followers: 20)
European Journal of Remote Sensing     Open Access   (Followers: 17)
Videoscopy     Full-text available via subscription   (Followers: 15)
Flow Measurement and Instrumentation     Hybrid Journal   (Followers: 15)
Transactions of the Institute of Measurement and Control     Hybrid Journal   (Followers: 12)
Journal of Sensors and Sensor Systems     Open Access   (Followers: 11)
Remote Sensing Applications : Society and Environment     Full-text available via subscription   (Followers: 9)
Instrumentation Science & Technology     Hybrid Journal   (Followers: 8)
International Journal of Applied Mechanics     Hybrid Journal   (Followers: 8)
Imaging & Microscopy     Hybrid Journal   (Followers: 7)
Microscopy     Hybrid Journal   (Followers: 7)
Metrology and Measurement Systems     Open Access   (Followers: 7)
Science of Remote Sensing     Open Access   (Followers: 7)
Optoelectronics, Instrumentation and Data Processing     Hybrid Journal   (Followers: 6)
International Journal of Metrology and Quality Engineering     Full-text available via subscription   (Followers: 5)
Measurement : Sensors     Open Access   (Followers: 5)
PFG : Journal of Photogrammetry, Remote Sensing and Geoinformation Science     Hybrid Journal   (Followers: 5)
Computational Visual Media     Open Access   (Followers: 5)
Journal of Medical Devices     Full-text available via subscription   (Followers: 4)
Sensors and Materials     Open Access   (Followers: 4)
IEEE Sensors Letters     Hybrid Journal   (Followers: 4)
Journal of Astronomical Instrumentation     Open Access   (Followers: 4)
Journal of Optical Technology     Full-text available via subscription   (Followers: 4)
IEEE Journal on Miniaturization for Air and Space Systems     Hybrid Journal   (Followers: 3)
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)     Open Access   (Followers: 3)
Sensors International     Open Access   (Followers: 3)
Solid State Nuclear Magnetic Resonance     Hybrid Journal   (Followers: 3)
Measurement Techniques     Hybrid Journal   (Followers: 3)
Journal of Instrumentation Technology & Innovations     Full-text available via subscription   (Followers: 3)
International Journal of Sensor Networks     Hybrid Journal   (Followers: 2)
International Journal of Measurement Technologies and Instrumentation Engineering     Full-text available via subscription   (Followers: 2)
Geoscientific Instrumentation, Methods and Data Systems     Open Access   (Followers: 2)
International Journal of Testing     Hybrid Journal   (Followers: 1)
Medical Devices & Sensors     Hybrid Journal   (Followers: 1)
Instruments and Experimental Techniques     Hybrid Journal   (Followers: 1)
Geoscientific Instrumentation, Methods and Data Systems Discussions     Open Access   (Followers: 1)
Journal of Research of NIST     Open Access   (Followers: 1)
Journal of Vacuum Science & Technology B     Hybrid Journal   (Followers: 1)
Invention Disclosure     Open Access   (Followers: 1)
Metrology and Instruments / Метрологія та прилади     Open Access  
Measurement Instruments for the Social Sciences     Open Access  
Труды СПИИРАН     Open Access  
Standards     Open Access  
Jurnal Informatika Upgris     Open Access  
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan     Open Access  
Devices and Methods of Measurements     Open Access  
EPJ Techniques and Instrumentation     Open Access  
Journal of Medical Signals and Sensors     Open Access  
Documenta & Instrumenta - Documenta et Instrumenta     Open Access  
Similar Journals
Journal Cover
IEEE Sensors Letters
Number of Followers: 4  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Online) 2475-1472
Published by IEEE Homepage  [228 journals]
  • Enabling Negative Pressure Sensing Through Ferroelectret Device

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      Authors: Yunqi Cao;Hongyang Shi;Xiaobo Tan;Nelson Sepúlveda;
      Pages: 1 - 4
      Abstract: We report a polypropylene (PP) based ferroelectret device with quasi-piezoelectricity features to measure negative pressures underwater. The device consists of a foam-structured middle layer with giant electric dipoles between two solid PP films. The quasi-piezoelectricity originates from the relative movement between two oppositely charged surfaces under externally applied pressures, which causes a redistribution of surface charges. In this configuration, negative pressure sensing is realized due to the pressure difference caused by the air cavities, which leads to an expansion of the foam and generates an output voltage proportional to the applied pressure. Finite element method (FEM) simulation and experimental validation are both carried out to confirm the mechano-electrical response under negative pressures. Further investigation reveals that the outputs of open-circuit voltage and short-circuit current follow the opposite behavior as that under positive pressures. The proposed tactile sensors can be potentially implemented in wide applications ranging from pneumatic robots to underwater assessment of invasive species.
      PubDate: Aug. 2022
      Issue No: Vol. 6, No. 8 (2022)
       
  • Frequency-Coded and Programmable Synchronous Electromagnetic Encoders
           Based on Linear Strips

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      Authors: Amirhossein Karami-Horestani;Ferran Paredes;Ferran Martín;
      Pages: 1 - 4
      Abstract: This letter presents electromagnetic encoders where encoding is achieved by considering four different inclusions, particularly linear strips of different length, etched at the predefined positions of the encoder chain, and transversely oriented with regard to the chain axis. Since the length of the strips determines their resonance frequencies, it follows that the 2-bits per inclusion, corresponding to the four possible different states (strip lengths), are frequency-coded. Thus, the reader is a microstrip line with a series gap fed by four harmonic (carrier) signals tuned to the resonance frequencies of the four considered encoder strips. By encoder motion over the reader, each carrier signal is amplitude modulated, with envelope functions exhibiting a peak each time a strip of the encoder chain tuned to the resonance frequency of the considered carrier signal crosses the axis of the reader line. The functionality of the system is experimentally validated in this letter. It is also shown that the encoders can be programmed by considering identical strips and by cutting them appropriately, according to the desired code. The proposed encoders are intrinsically synchronous. Such encoders are useful for measuring displacements and velocities, as well as for the implementation of synchronous near-field chipless radiofrequency identification tags with sequential bit reading.
      PubDate: Aug. 2022
      Issue No: Vol. 6, No. 8 (2022)
       
  • RBAC-LBRM: An RBAC-Based Load Balancing Assisted Efficient Resource
           Management Framework for IoT-Edge-Fog Network

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      Authors: Rohit Kumar;Neha Agrawal;
      Pages: 1 - 4
      Abstract: The inefficient handling of Internet of Things (IoT) network traffic may result in load-imbalance and unauthorized access, causing network performance degradation. The performance can be improved by off-loading some of the tasks to the network edge and fog layers. The existing works have discussed the issues of load balancing and access control in IoT using edge and fog environments; however, the design of an efficient resource management framework for an IoT-edge-fog environment is still under development. This work presents a role-based access control (RBAC)-based load balancing-assisted efficient resource management framework for IoT-edge-fog network named RBAC-LBRM. The overall average improvements of 29.85, 16.82, 13.63, and 16.55% have been achieved by RBAC-LBRM over other approaches w.r.t. CPU usage, memory usage, delay, and jitter metrics, respectively.
      PubDate: Aug. 2022
      Issue No: Vol. 6, No. 8 (2022)
       
  • Preventing Food Waste by the Shelf-Life Dynamical Control in Smart Homes

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      Authors: Giovanni Mezzina;Dionisio Ciccarese;Daniela De Venuto;
      Pages: 1 - 4
      Abstract: Currently, smart homes are designed and improved according to four main goals: residents’ wellness, security, comfort, and reduced energy waste. No focus has yet been reserved for one of the most impacting problems of recent years: domestic food waste. In this context, this letter proposes a case study that jointly involves recent advances in smart homes and the need for food waste reduction. The proposed system is divided into two main blocks: the sensing block and the actuation one. The sensing block consists of multiple nodes, which, in the proposed case study, work as dynamic labels being stuck to the good to be monitored. Each node embeds, on a miniaturized board, a set of sensors (i.e., temperature, humidity, and ambient light), whose outcomes are used to extract, on-board, the dynamic food shelf life (SL). The presence of an onboard inertial measurement unit also permits the nodes' localization inside the environment. If a sudden decrease in the food SL is recorded by the node and no human interventions occur in a preset timeout, the node is designed to send a call for intervention to the actuation block. In this letter, the actuation block is realized through an assistive robotic platform that can gather coordinates of food from sensor nodes, navigate to them to manipulate the goods, and actuate actions to improve their preservation conditions (increasing the perspective SL). The actuation block is also responsible for notifying the user of the bad storage conditions. The system has been experimentally tested in a laboratory environment. The whole mitigation chain successfully completed all the operations through the robotic platform in 60% of cases. Moreover, comparing food left in poor storage conditions and the same food managed by the our proposed system, an improvement of the food expiration date of ∼55% (on average) has been recorded.
      PubDate: Aug. 2022
      Issue No: Vol. 6, No. 8 (2022)
       
  • RSS Localization Using Multistep Linearization in the Presence of Unknown
           Path Loss Exponent

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      Authors: Xiaojun Mei;Yanzhen Chen;Xiaofeng Xu;Huafeng Wu;
      Pages: 1 - 4
      Abstract: Location awareness is essential to numerous wireless sensor network applications. However, it is challenging to have an accurate location estimation, especially for the received-signal-strength-based scheme in the presence of an unknown path loss exponent (PLE). To this end, this letter first develops the maximum likelihood estimator (MLE) with an unknown PLE. Owing to the significant computational complexity and highly nonconvex feature in the MLE, this letter further converts the original problem into a generalized trust regional subproblem by employing the first-order Taylor expansion to different parameters. A multistep linearization (MSL) method is then studied for the scheme, wherein the target location and the PLE are considered variables without prior knowledge. Subsequently, a bisection method integrated with a refined step is presented to figure out the estimate. Moreover, this letter conducts the Cramér–Rao lower bound with unknown PLE to evaluate the proposed method. Simulation results show that the proposed MSL achieves better estimate accuracy than other state-of-the-art methods in different scenarios.
      PubDate: Aug. 2022
      Issue No: Vol. 6, No. 8 (2022)
       
  • A Transferable Feature-Based Classifier to Improve Transferability of
           Electronic Nose Systems

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      Authors: Yi-Jhen Lin;Ting-I Chou;Shih-Wen Chiu;Kea-Tiong Tang;
      Pages: 1 - 4
      Abstract: Sensor drift is an important issue in electronic nose systems. When sensor drift occurs, the data distribution changes, which affects classification accuracy. Thus, this letter proposes a feature selection method and a classifier combined with weighted features to address the sensor drift problem. In the proposed method, feature scores used to select better features are calculated based on their separability and transferability in feature selection. In addition, to consider the transferability of each feature, the transferability score of each feature is used as a feature weight. For the classifier, to reduce the distribution difference between two domains, an extreme learning machine is employed, which make the output weights of the target domain similar to those of the source domain while considering the importance of each feature in terms of the feature scores. Experimental results demonstrate that the average classification accuracy on an open-access drifted dataset can be improved using the proposed method.
      PubDate: Aug. 2022
      Issue No: Vol. 6, No. 8 (2022)
       
  • Extended Kalman Filter State Estimation for Aerial Continuum Manipulation
           Systems

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      Authors: Shahab Ghorbani;Farrokh Janabi-Sharifi;
      Pages: 1 - 4
      Abstract: The primary goal of this letter is to address the state estimation problem for dual-arm tendon-driven aerial continuum manipulation systems (ACMSs). While the state estimation problem for conventional rigid aerial manipulation systems (AMSs) has been addressed, parameter estimation remains a significant challenge for the recently introduced ACMS platform. Compared to AMSs that utilize arms’ encoder data, ACMSs with flexible arms are not equipped with such sensors. As a result of the requirement for external sensors such as vision systems, measurement challenges may arise in ACMSs cases. Additionally, the dynamics of ACMSs are substantially more complicated, coupled, and nonlinear, posing additional barriers to tackling the estimating problem at hand. This letter proposes integrating deep neural networks with the extended Kalman filter (EKF) technique to enable real-time applications of the method. Simulation results demonstrate the performance of the suggested learning-based EKF approach.
      PubDate: Aug. 2022
      Issue No: Vol. 6, No. 8 (2022)
       
 
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