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Article
Publication date: 11 June 2019

Yawei Xu, Lihong Dong, Haidou Wang, Yuelan Di, Xiaozhu Xie, Peng Wang and Miao Zhang

Crack sensor based on RFID tag has become a research hotspot in the field of metal structural health monitoring for its significant benefit of passive wireless…

Abstract

Purpose

Crack sensor based on RFID tag has become a research hotspot in the field of metal structural health monitoring for its significant benefit of passive wireless transmission. While in practice, crack location will impact the performance of crack depth-sensing tag. The purpose of this paper is to provide a method for reducing disturbance of crack location on crack depth-sensing tag.

Design/methodology/approach

The effect analysis of crack location on crack depth-sensing tag is presented first to find disturbance reason and disturbance law. On the basis of that, a miniaturized tag is proposed to improve the current distribution and reduce the disturbance introduced by crack location.

Findings

The degree of crack location disturbance is closely related to the current distribution in the coverage area of tag. Because sensing tag performs better when crack locates in the high current density area, miniaturization of sensing tag is exploited to expand the high current density area and make the area more symmetrical. The simulated and experimental results demonstrate that tag miniaturization can enhance the performance of crack depth-sensing tag.

Originality/value

This paper provides a method to enhance the performance of crack depth-sensing tag.

Details

Sensor Review, vol. 39 no. 4
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 27 March 2009

Zhou Gaofeng, Zhao Yulong and Jiang Zhuangde

The flexibly thin film grid pressure sensor is mainly used to detect the interface pressure distribution between touching objects. Aim at larger measurement error, the…

Abstract

Purpose

The flexibly thin film grid pressure sensor is mainly used to detect the interface pressure distribution between touching objects. Aim at larger measurement error, the strip double sensing layer pressure sensor are designed and fabricated and tested.

Design/methodology/approach

Defects and characteristic of the flexibly thin film grid pressure sensor based on piezoresistive effect are analyzed and pointed out in this paper. After comparison of four sensors, the strip double sensing layer pressure sensor was thought to be best.

Findings

Experiment shows that the strip double sensing layer pressure sensor could eliminate the measurement error basically and illustrates the validity of measuring the interface pressure distribution between area touching objects.

Research limitations/implications

In this paper, only the strip double sensing layer pressure sensor was used to verify the validity of measuring the static interface pressure distribution between peach and platform. But there also exists some problems such as the adhering reliability of electrode and the unevenness of sensing layer. These problems could be overcome in the future research if the fabricating procedure and ingredient of material could be adjusted correctly.

Practical implications

The strip double sensing layer pressure sensor could be applied to detect the static interface pressure distribution such as peach pressure distribution. For dynamic measurement, this research needs to be done further.

Originality/value

Strip double sensing layer pressure sensor with simple “interlayer” structure and with low manufacture cost is presented to basically eliminate the measurement error of interface pressure distribution of original sensor.

Details

Sensor Review, vol. 29 no. 2
Type: Research Article
ISSN: 0260-2288

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Book part
Publication date: 21 September 2018

Elad Green and Zur Shapira

There are many cases where top management either missed or almost missed detecting or interpreting a major change in the environment that might have led them to a major…

Abstract

There are many cases where top management either missed or almost missed detecting or interpreting a major change in the environment that might have led them to a major setback. We propose a model of sensing in hierarchical organizations that describes a sequence of sensing and detecting changes in the environment, followed by successive stages of perception, interpretation, and finally action. We model an organization as a complex signal detection system, where the flow of information among members of the organization is constrained by two elements: the structure of the organization, which is defined by who reports to whom, and the attentional and cognitive limitations of the individuals. We infer the probability of sensing over time for different levels of environmental shocks and different organizational structures. By focusing on the (un)reliability of sensing and the information flow in different organizational structures, we are able to provide preliminary analysis of the trade-offs among cognitive limitations, speed of detection, modes of information flow, and the resulting performance measure of delay, false-alarms, and true detections.

Details

Behavioral Strategy in Perspective
Type: Book
ISBN: 978-1-78756-348-3

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Article
Publication date: 15 September 2021

Srinivas Rao Sriram, Saidireddy Parne, Venkata Satya Chidambara Swamy Vaddadi, Damodar Edla, Nagaraju P., Raji Reddy Avala, Vijayakumar Yelsani and Uday Bhasker Sontu

This paper aims to focus on the basic principle of WO3 gas sensors to achieve high gas-sensing performance with good stability and repeatability. Metal oxide-based gas…

Abstract

Purpose

This paper aims to focus on the basic principle of WO3 gas sensors to achieve high gas-sensing performance with good stability and repeatability. Metal oxide-based gas sensors are widely used for monitoring toxic gas leakages in the environment, industries and households. For better livelihood and a healthy environment, it is extremely helpful to have sensors with higher accuracy and improved sensing features.

Design/methodology/approach

In the present review, the authors focus on recent synthesis methods of WO3-based gas sensors to enhance sensing features towards toxic gases.

Findings

This work has proved that the synthesis method led to provide different morphologies of nanostructured WO3-based material in turn to improve gas sensing performance along with its sensing mechanism.

Originality/value

In this work, the authors reviewed challenges and possibilities associated with the nanostructured WO3-based gas sensors to trace toxic gases such as ammonia, H2S and NO2 for future research.

Details

Sensor Review, vol. 41 no. 4
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 16 August 2021

Alvaro Lopes Dias and Luis F. Lages

The purpose of this paper is to conceptualize and operationalize the concept of market-sensing capabilities and analyze its relationship with new product development (NPD…

Abstract

Purpose

The purpose of this paper is to conceptualize and operationalize the concept of market-sensing capabilities and analyze its relationship with new product development (NPD) success and organic organizational structures. To the authors' knowledge, past measures of market-sensing capabilities have never included opportunity interpretation, through business experience and organizational articulation, as part of the concept.

Design/methodology/approach

Based on a sample of over 180 small and medium-sized enterprises (SMEs), market-sensing capabilities constructs and their relationships were tested through academics' and managers' perceptions. The measure was tested using confirmatory factor analysis (CFA).

Findings

Findings reveal theoretically sound constructs based on four underlying market-sensing capabilities components: analytical processes, customer relationship, business experience and organizational articulation. Results demonstrate reliability, convergent, discriminant and nomological validity. All four dimensions are positively associated with NPD success and are more likely to appear in organic organizational structures.

Practical implications

The resulting instrument provides managers with a valuable tool to measure firms' abilities to address environmental uncertainty. By using this instrument, managers can assess internal organizational structures and resources allocated to sensing capabilities. By developing sensing capabilities, managers might ultimately influence their NPD strategy. Findings also reveal that sensing capabilities are positively and significantly associated with organic organizational structures.

Originality/value

Existing sensing capabilities measures are focused on environmental scanning, and the essence of the concept is not fully expressed by the traditional measures of analytical processes and customer relationship. The authors' new measure includes opportunity interpretation through business experience and organizational articulation.

Details

Journal of Small Business and Enterprise Development, vol. 28 no. 7
Type: Research Article
ISSN: 1462-6004

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Article
Publication date: 11 May 2021

Amiram Markovich, Kalanit Efrat and Daphne R. Raban

This study aims to augment the understanding of dynamic capabilities (DCs) by exploring the interrelations among the DC categories (sensing, seizing, reconfiguring) and…

Abstract

Purpose

This study aims to augment the understanding of dynamic capabilities (DCs) by exploring the interrelations among the DC categories (sensing, seizing, reconfiguring) and the distinct impact of each DC on firm performance under low and high levels of competitive intensity.

Design/methodology/approach

The analysis is based on a cross-sectional survey of 139 managers in Israel. The data were collected through Web-based questionnaires using the Qualtrics software. A two-stage data analysis was performed using structural equation modeling (SEM).

Findings

The findings indicate that DCs follow a sequence in which sensing drives seizing, which, in turn, enhances reconfiguring. The effects of sensing are mainly manifested through its direct impact on seizing, with no evidence for an impact of sensing on company performance. Moreover, under low competitive intensity, only seizing appears to impact performance, while under high competitive intensity, reconfiguring joins seizing in improving firm performance.

Originality/value

The study's findings advance the debate on the direct vs sequential nature of DCs by indicating an internal DC sequence. Our research also advocates for a crucial role of sensing in enhancing DCs, regardless of the level of competitive intensity. Furthermore, this research expands the understanding of the consequences of DCs and enables the prioritization of DC categories under low and high competitive intensity.

Details

Baltic Journal of Management, vol. 16 no. 4
Type: Research Article
ISSN: 1746-5265

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Article
Publication date: 26 March 2021

Riyaz Ali Shaik and Elizabeth Rufus

This paper aims to review the shape sensing techniques using large area flexible electronics (LAFE). Shape perception of humanoid robots using tactile data is mainly focused.

Abstract

Purpose

This paper aims to review the shape sensing techniques using large area flexible electronics (LAFE). Shape perception of humanoid robots using tactile data is mainly focused.

Design/methodology/approach

Research papers on different shape sensing methodologies of objects with large area, published in the past 15 years, are reviewed with emphasis on contact-based shape sensors. Fiber optics based shape sensing methodology is discussed for comparison purpose.

Findings

LAFE-based shape sensors of humanoid robots incorporating advanced computational data handling techniques such as neural networks and machine learning (ML) algorithms are observed to give results with best resolution in 3D shape reconstruction.

Research limitations/implications

The literature review is limited to shape sensing application either two- or three-dimensional (3D) LAFE. Optical shape sensing is briefly discussed which is widely used for small area. Optical scanners provide the best 3D shape reconstruction in the noncontact-based shape sensing; here this paper focuses only on contact-based shape sensing.

Practical implications

Contact-based shape sensing using polymer nanocomposites is a very economical solution as compared to optical 3D scanners. Although optical 3D scanners can provide a high resolution and fast scan of the 3D shape of the object, they require line of sight and complex image reconstruction algorithms. Using LAFE larger objects can be scanned with ML and basic electronic circuitory, which reduces the price hugely.

Social implications

LAFE can be used as a wearable sensor to monitor critical biological parameters. They can be used to detect shape of large body parts and aid in designing prosthetic devices. Tactile sensing in humanoid robots is accomplished by electronic skin of the robot which is a prime example of human–machine interface at workplace.

Originality/value

This paper reviews a unique feature of LAFE in shape sensing of large area objects. It provides insights from mechanical, electrical, hardware and software perspective in the sensor design. The most suitable approach for large object shape sensing using LAFE is also suggested.

Details

Industrial Robot: the international journal of robotics research and application, vol. 48 no. 5
Type: Research Article
ISSN: 0143-991X

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Article
Publication date: 30 January 2020

Yawei Xu, Lihong Dong, Haidou Wang, Xiaozhu Xie and Peng Wang

RFID tags for sensing are available to operate and transmit sensing data to measurement equipment without battery and wires, which is a great advantage in establishing IoT…

Abstract

Purpose

RFID tags for sensing are available to operate and transmit sensing data to measurement equipment without battery and wires, which is a great advantage in establishing IoT environment. For crack sensing tags, however, the short service life of tags restricted their application. This paper aims to introduce a method of surface crack detection and monitoring based on RFID tag, which makes it possible for tags to be reused.

Design/methodology/approach

Metal plate to be monitored, acting as the ground plane of microstrip patch antenna, is underneath the crack sensing tag. The propagating surface crack in metal plate will change the electric length of tag’s antenna that is directly proportional to the crack depth and length. Thus, the deformation of sensing tag introduced by the load on metal structure is no longer a prerequisite for crack sensing.

Findings

The simulated and experimental results show that the proposed crack sensing tag can sense the change of surface crack with mm-resolution and sense surface crack propagation without a deformation, which means the proposed crack sensing tag can be reused.

Originality/value

The key advantage of the proposed method is the reusability of the RFID tags.

Details

Sensor Review, vol. 40 no. 1
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 15 March 2019

Guangkai Sun, Yang Hu, Mingli Dong, Yanlin He, Mingxin Yu and Lianqing Zhu

Soft robotics is a burgeoning field owing to its high adaptability and safety in human–machine interaction and unstructured environments. However, the feedback control of…

Abstract

Purpose

Soft robotics is a burgeoning field owing to its high adaptability and safety in human–machine interaction and unstructured environments. However, the feedback control of soft actuators with flexible sensors is still a challenge.

Design/methodology/approach

To address this issue, this study proposes an optical fibre-based sensing membrane for the posture measurement of soft pneumatic bending actuators. The major contribution is the development of a flexible sensing membrane with a high sensitivity and repeatability for the feedback control of soft actuators. The characteristics of sensing membrane were analysed. The relationship between wavelength shift and bending curvature was derived. The curvatures of soft actuator were measured at four bending status, and the postures were reconstructed.

Findings

The results indicate that the measurement error is less than 2.1% of the actual bending curvature. The sensitivity is up to 212.8 pm/m−1, and the signal fluctuation in repeated measurements is negligible. This approach has broad application prospects in soft robotics, because it makes the optical fibre achieve more strength and compatible with soft actuators, thus improving the sensing accuracy, sensitivity and reliability of fibre sensors.

Originality/value

Different from previous approaches, an optical fibre with FBGs is embedded into a multilayered polyimide film to form a flexible sensing membrane, and the membrane is embedded into a soft pneumatic bending actuator as the smart strain limited layer which is able to measure the posture in real time. This approach makes the optical fibre stronger and compatible with the soft pneumatic bending actuator, and the sensing accuracy, sensitivity and reliability are improved. The proposed sensing configuration is effective for the feedback control of the soft pneumatic bending actuators.

Details

Industrial Robot: the international journal of robotics research and application, vol. 46 no. 1
Type: Research Article
ISSN: 0143-991X

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Article
Publication date: 23 December 2019

Mahua Bhowmik and P. Malathi P. Malathi

Cognitive radio (CR) plays a very important role in enabling spectral efficiency in wireless communication networks, where the secondary user (SU) allows the licensed…

Abstract

Purpose

Cognitive radio (CR) plays a very important role in enabling spectral efficiency in wireless communication networks, where the secondary user (SU) allows the licensed primary users (PUs). The purpose of this paper is to develop a prediction model for spectrum sensing in CR.

Design/methodology/approach

This paper proposes a hybrid prediction model, called krill-herd whale optimization-based actor critic neural network and hidden Markov model (KHWO-ACNN-HMM). The spectral bands are determined optimally using the proposed hybrid prediction model for allocating the spectrum bands to the PUs. For better sensing, the eigenvalue based on cooperative sensing used in CR. Finally, a hybrid model is designed by hybridizing KHWO-ACNN and HMM to enhance the accuracy of sensing. The predicted results of KHWO-ACNN and HMM are combined by a fusion model, for which a weighted entropy fusion is employed to determine the free spectrum available in CRs.

Findings

The performance of the prediction model is evaluated based on metrics, such as probability of detection, probability of false alarm, throughput and sensing time. The proposed spectrum sensing method achieves maximum probability of detection of 0.9696, minimum probability of false alarm rate as 0.78, minimum throughput of 0.0303 and the maximum sensing time of 650.08 s.

Research implications

The proposed method is useful in various applications, including authentication applications, wireless medical networks and so on.

Originality/value

A hybrid prediction model is introduced for energy efficient spectrum sensing in CR and the performance of the proposed model is evaluated with the existing models. The proposed hybrid model outperformed the other techniques.

Details

International Journal of Intelligent Computing and Cybernetics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1756-378X

Keywords

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