Presents the front cover for this issue of the publication.

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

Presents the table of contents for this issue of the publication.

The cymbal transducer is a miniature transducer developed from the class V flextensional transducer. Many studies to analyze this transducer have been conducted using either the finite element method or fabrication and measurement technique. Meanwhile, the equivalent circuit method is a relatively simpler, faster, and more efficient approach to conduct performance analysis of an electromechanical transducer

This paper is a report on the design and fabrication of a dual-axis micro-opto-electro-mechanical system (MOEMS) accelerometer. The device consists of a proof mass (PM) suspended by four L-shaped springs. Two Fabry-Pérot (FP) cavities are formed between the cross-sections of the PM and the ends of two cleaved optical fibers in perpendicular directions (the X and Y axes). The acceleration causes the

This paper proposes a new microwave non-destructive testing (NDT) method based on liquid flow controlled spoof surface plasmon polaritons (SSPPs) to detect defects in non-metallic composites. The sensor based on this method is composed of SSPPs structure and liquid flow controller. The liquid flow controller can be used to control the sensing area of the sensor. The detection is based on the change

One of the most important characteristics of planar microwave resonator-based sensors is their sensitivity. Since their measuring parameter is resonance frequency shift, the sensitivity could be described as the shift in the resonance frequency of the microwave resonators versus variation in the dielectric constant of the material under the test. Although label-free microwave resonator-based sensors

Liquid phase sensing applications at 1550 nm are highly desirable due to widely available off-the-shelf components. Generally, liquids at 1550 nm induce a high absorption loss that limits the overall sensor’s sensitivity and detection limit. One solution is to use an active fiber loop in conjunction with cavity ring down spectroscopy to overcome these absorption losses. However, the amplifier inside

Temperature monitoring inside tissue undergoing minimally invasive thermal ablation is a primary goal to improve the clinical outcomes. Existing techniques for temperature measurements, classified as invasive or contactless, have limited clinical practice applications due to several practical issues. Fiber Bragg grating sensors (FBG) can be a valid solution since they can perform accurate and multi-point

Capsule endoscopy is a minimally invasive diagnostic technology for gastrointestinal diseases providing images from the human’s digestion system. Developing a robust and real-time localization algorithm to determine the orientation and position of the endoscopic capsule is a crucial step toward medical diagnostics. In this paper, we propose a novel model-aided real-time localization approach to estimate

We present a new method for quantifying signal quality of joint acoustic emissions (JAEs) from the knee during unloaded flexion/extension (F/E) exercises. For ten F/E cycles, JAEs were recorded, in a clinical setting, from 34 healthy knees and 13 with a meniscus tear (n = 24 subjects). The recordings were first segmented by F/E cycle and described using time and frequency domain features. Using these

A novel optical fiber sensor using a mesh microbend optical fiber sensor to measure the perioperative heart rate (HR) and respiratory rate (RR) frequency signals was developed by our team. The feasibility of the sensor was evaluated in 10 infants in the perioperative period. We used traditional algorithms, such as Fast Fourier Transformation (FFT) and Wavelet Transformation (WT) to remove the noise

With the fast development of power grid the usage of electrical equipments is increased which led to importance of power quality disturbance sensing for reliable and smooth operation. In this paper, a deep neural network has been designed using stacked autoencoder (SAE) for deep feature extraction from time-frequency spectrum of single and combined PQ disturbances in electrical power system network

In this paper, we propose a novel people counting algorithm exploiting convolutional neural network (CNN) using a low radiation impulse radio ultra-wide bandwidth (IR-UWB) radar. Because of the ever-changing signals caused by the various cases of human motion scales, superposition and obstruction of signals as well as the attenuate of signal’s strength along the distance and the angle, it is not easy

Owing to the fastest developments of flexible sensors, a considerable focus is being provided on application of such techniques in automobile infotainment applications. It is important to design such sensors and perform the failure analysis for the same. In the present study, an effort has been made to fabricate silver track printed flexible sensor and utilized for automobile infotainment applications

Assessing the hand postures is crucial to implement gesture-based user-computer interfaces for controlling robots and assistive devices. Apart from data gloves and optical tracking, techniques such as surface electromyography and force myography provide a straightforward, non-invasive way to estimate poses and intentions through the forearm muscles assessment. However, most of the myography systems

In the above article [1] , the authors Subhasish Dey and Debabrata Roy were inadvertently omitted from the author list when the article was originally published. It was an unintentional mistake. We apologize for this error. Hence, it is declared that Subhasish Dey and Debabrata Roy are also the co-authors of the article entitled “Design and Development of Magnetostrictive Low Power DC Generator and

Presents information on the IEEE Sensor Journal cover/frontispiece competition.

Advertisement.

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

Presents the front cover for this issue of the publication.

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

Presents the table of contents for this issue of the publication.

The IEEE Sensors Journal was born on June 1, 2001, when its first ever issue was published. The journal has grown exponentially over the past 20 years to become one of the world’s largest journals in sensor engineering and technology as well as one of the largest among more than 200 IEEE publications. In these 20 years, the field of sensors has dramatically changed of course: Completely new areas have

IEEE had many sensor activities in the 1990s, mostly in its technical societies, but the activities had no focus. For example, IEEE had no journal devoted to sensors. My main purpose in founding the IEEE Sensors Council was to create a sensor focus primarily through the creation of the IEEE Sensors Journal and the IEEE SENSORS Conference.

Imagine a carpenter who after many years of successful practicing suddenly realizes that his work could be greatly helped by adding one more tool, a chisel. The idea is simple and obvious, but no carpenter had thought of this before. So the carpenter adds a chisel to his toolbox, and the positive effect is huge and immediate. In our story, the carpenter is IEEE, and the chisel is the IEEE Sensors Journal

In January 2004, the Editor-in-Chief (EiC) Vladimir Lumelsky passed the IEEE Sensors Journal (SJ) to H. Troy Nagle (North Carolina State University). At that time, the administrative support for the SJ was by the staff of the IEEE Signal Processing Society (SPS). Its initial success had generated a large queue of manuscripts in the review process and the queue was growing monthly. Paper copies of manuscripts

IEEE journals are to a degree anthropomorphic: we have a bright and vivacious family, with veterans in their 70s, coexisting with ambitious newborns. On that scale, the event we are celebrating is the IEEE Sensors Journal having matured from its teenage years. As a typical 20-year old, it has put behind the doubts, the rush to test the unknown, the first disappointments, and the first dizzying success

Recent works on the machine learnings designed for cuffless blood pressure (BP) estimation based on measured photoplethysmogram (PPG) waveforms are reviewed by this study, with future trends of the related technology developments distilled. This review starts with those based on the conventional pulse wave velocity (PWV) theory, by which few equations are derived to calculate BPs based on measured

This paper presents a review of Tactile Sensing Systems, with an emphasis on their application to the non-invasive characterization of tumors. Emulating the perceptual mechanism of the human skin, the Tactile Sensing Systems characterize tumors using touch sensors by quantifying the mechanical properties such as size and elasticity. The authors survey several tactile transduction methods: capacitive

Desire to integrate electronic devices more closely into the everyday life of the consumer led to the emergence of flexible devices, which can conform to any shape surface. These flexible devices are lighter, thinner, and more resilient than their rigid counterparts. Since consumers these days are heavily concerned about the visual look of any product along with its technological features, the flexible

Drastic reduction in the manufacturing cost of sensors and actuators has resulted in considerable growth in the number of smart objects. The so-called Internet of Things (IoT) blends the real and virtual environments and removes time and distance barriers. It is widely perceived as a major enabler for the efficient and effective provision of services across a range of sectors. It has naturally attracted

The human olfactory system remains one of the most challenging biological systems to replicate. Humans use it without thinking, where it can measure offer protection from harm and bring enjoyment in equal measure. It is the system’s real-time ability to detect and analyze complex odors that makes it difficult to replicate. The field of artificial olfaction has recruited and stimulated interdisciplinary

Presents information on the IEEE Sensor Journal cover/frontispiece competition.

Advertisement.

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

In this contribution, a novel technique to accurately sense the thermal aging of the epoxy alumina nano-composites employing complex electric modulus is proposed. To sense the thermal ageing of epoxy nano-composites accurately, knowledge of relaxation behavior is necessary. However, relaxation behavior cannot be understood completely due to electrode polarization and charge transport effects at high

Presents the front cover for this issue of the publication.

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

Presents the table of contents for this issue of the publication.

In this paper we present a bionic multi-sensor anavigation and control system for unmanned ground vehicles to complete the homing task. The system consists of the pixelated polarized sensor, a Micro Inertial Measurement Unit (MIMU), and a monocular camera. To compensate for the installation error, we provide a joint calibration method for multiple sensors. Utilizing the measurements of pixelated polarized

Sensors in machine vision of automated systems significantly improve the quality and reliability of all those processes and products related with such automated systems.

Surface damage of structures is an important indicator that further inspection of the structure is needed. However, existing detection methods rarely detect three-dimensional data of damage. Aiming at the inspection of structural surface damage, this study proposes a method based on 3-D structural surface damage reconstruction techniques for reconstructing and extracting data for damage volume calculation

The technology of damage evaluation based on data collected by sensors has become an important topic in the field of structural engineering This paper presents an improved generalized flexibility method for sensor placement and damage evaluation. Compared with the existing methods, the main improvements of the proposed method lie in three aspects. The first one is to replace mass-normalized mode shapes

The performance of image super-resolution (SR) have been greatly improved with deep convolution neural network (CNN). Despite image SR targets at recovering high-frequency details, most SR methods still focus on generating high-level features via a deep and wide network. They lack the discriminative ability of high-frequency information hidden in the abundant CNN features, thus hindering CNNs to yield

Through-wall mapping is an emerging field of research with promising applications varying from search and rescue, to health care and to security. Radar is a valuable tool in this process, mainly due to its long wavelength, which can pass through construction materials. However, this capability comes at a price, namely multipath reflections caused by the environment, which can reduce the usability of

Measurements and characterization for extremely harsh environments require accurate approach especially by means of image-based computer vision. Because of harsh conditions, such as high temperature, pollution, turbulences, radioactive exposure, high energy, direct measurements through conventional sensors are not easy even with recent sensing technologies. Live and/or shortest time-delayed sensing

In recent years, pattern recognition technologies for distributed optical fiber vibration sensing have attracted more and more attention, aiming to intelligently recognize vibration events along with the optical fiber. Firstly, distributed optical fiber sensors for vibration detection are introduced. Secondly, this paper presents the state of the art of pattern recognition models used in distributed

Particles and cells can be patterned and moved (i.e., manipulated) precisely using acoustically driven techniques. To date, application of acoustic particle manipulation has been limited to plain surfaces. There is much potential for applying acoustic manipulation techniques to surfaces with microfabricated structures for high-throughput sensing. But adding thin film structures could alter manipulation

This study focuses on the analysis and early detection of freeze-damage in tangerines using a specific double-needle sensor and Electrochemical Impedance Spectroscopy (EIS). Freeze damage may appear in citrus fruits both in the field and in postharvest processes resulting in quality loss and a difficult commercialization of the fruit. EIS has been used to test a set of homogeneous tangerine samples

In this present work, electrochemical detection and quantification of formalin (FAL) trace present in mushroom (Agaricus bisporus) was premeditated using a cerium oxide nanoparticle modified graphite paste electrode (CeO 2 @GP). Cerium oxide (CeO 2 ) nanoparticles (nps) were synthesized through the sol-gel technique from cerium nitrate hexahydrate using poly (ethylene glycol) as a capping agent. The

Irreversible electroporation is a treatment to control microorganisms in food without harming food palatable aspects. The treatment by electroporation is dependent on the electric field amplitude, pulse durations and pulse repetitions. This study was carried out as a further investigation on the effects of irreversible electroporation pulse amplitude on S. cerevisiae and methods to verify the occurrence

FeO content of sinter is an important indicator of the quality of sinter. Aiming to overcome the difficulty of detecting the FeO content of sinter in the sintering process in real-time, this paper proposes a polymorphic measurement method for sinter FeO content based on heterogeneous features of infrared thermal images. First, an infrared thermal imager is applied to capture the infrared thermal images

This paper proposes a main-functional module working concept for capsule robots, and the capsule robots consist of a main module and functional modules based on this concept. The main module drives the functional modules and provides guidance and support for the functional modules while the functional modules perform the specific diagnosis or treatment. In addition, we propose a novel single-function

A high-precision angular rate sensitive method of spacecraft based on deflection current and deflection angle measurement is proposed in this paper, in the view of this problem that the angular rate sensitive accuracy of spacecraft using Magnetically Suspended Control & Sensing Gyroscope (MSCSG) is affected by the deflection disturbance of the rotor relative to the stator. Firstly, the moment model

The application of cryogenic refrigeration in various applications of superconductivity such as HTS cables, HTS motors, SMES and so on, requires a controlled flow of the cryogens to the superconducting mass. The flow control of the cryogens necessitates the use of a pre-calibrated flow meter to monitor the flow rates and hence maintaining the necessary refrigeration. This paper describes a method to

Micro-displacement measurement is essential in precision fields, such as precision positioning, micro-vibration control and biological engineering. Conventional sensors have disadvantages of susceptibility to environmental, high cost and difficulty in integration. To address these deficiencies, this paper developed a novel displacement sensor with nanometric resolution based on magnetoelectric effect

SPADs (Single-Photon Avalanche Diodes) are important detectors for a wide range of applications including positron emission tomography, Raman spectroscopy, light detection and ranging, and quantum key distribution. For some applications, custom image sensor technologies are used, but at a higher cost and lower performance imagers when compared to implementation in a standard planar CMOS technology

An enhanced substrate integrated waveguide (SIW) cavity sensor is proposed and designed in this work operating under sub −6 GHz 5G band suitable for the accurate permittivity estimation of low-loss dielectric materials. The proposed SIW sensor is designed for the fundamental TE $_{\mathbf {101}}$ mode at the resonance frequency of 3 GHz. The designed sensor is excited by employing a newly optimized

With the development of high-precision strapdown inertial navigation systems (SINS), it is increasingly important to improve the accuracy of navigation algorithms to match high-precision inertial sensors and meet the navigation localization requirements in high dynamic environments. However, it is difficult to further improve the accuracy of traditional second-order angular rate-based attitude algorithms