Journal articles on the topic 'Intelligent pressure sensor'
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Wang, Hao, Meng Nie, and Qing An Huang. "Design of Intelligent Meteorological System Based on MEMS." Key Engineering Materials 609-610 (April 2014): 801–6. http://dx.doi.org/10.4028/www.scientific.net/kem.609-610.801.
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Intelligent weather station system based on MEMS sensors is designed. The automatic meteorological system includes a MEMS temperature sensor, MEMS humidity sensor, MEMS pressure sensor, MEMS wind speed sensor and the sensor intelligent control system, etc. The intelligent control system has functions such as precise timing, multiple sensor data automatic acquisition, storage and uploading, which realizes the intelligent control of this weather station system.
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Lu, Xiaozhou, Xi Xie, Qiaobo Gao, Hanlun Hu, Jiayi Yang, Hui Wang, Songlin Wang, and Renjie Chen. "Design of biomimetic human-skin-like tactile flexible sensor." Sensor Review 39, no. 3 (May 20, 2019): 397–406. http://dx.doi.org/10.1108/sr-01-2018-0007.
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Purpose The hands of intelligent robots perceive external stimuli and respond effectively according to tactile or pressure sensors. However, the traditional tactile and pressure sensors cannot perform human-skin-like intelligent properties of high sensitivity, large measurement range, multi-function and flexibility simultaneously. The purpose of this paper is to present a flexible tactile-pressure sensor based on hyper-elastics polydimethylsiloxane and plate capacitance. Design/methodology/approach With regard to this problem, this paper presents a flexible tactile-pressure sensor based on hyper-elastics PDMS and plate capacitance. The sensor has a size of 10 mm × 10 mm × 1.3 mm and is composed of four upper electrodes, one middle driving electrode and one lower electrode. The authors first analyzed the structure and the tactile-pressure sensing principle of human skin to obtain the design parameters of the sensor. Then they presented the working principle, material selection and mechanical structure design and fabrication process of the sensor. The authors also fabricated several sample devices of the sensor and carried out experiments to establish the relationship between the sensor output and the pressure. Findings The results show that the tactile part of the sensor can measure a range of 0.05-1N/mm2 micro pressure with a sensitivity of 2.93 per cent/N and a linearity of 0.03 per cent. The pressure part of the sensor can measure a range of 1-30N/mm2 pressure with a sensitivity of 0.08 per cent/N and a linearity of 0.07 per cent. Originality/value This paper analyzes the tactile and pressure sensing principles of human skin and develop an intelligent sensitive human-skin-like tactile-pressure sensor for intelligent robot perception systems. The sensor can achieve to imitate the tactile and pressure function simultaneously with a measurement resolution of 0.01 N and a spatial resolution of 2 mm.
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Martins, Leonardo, Rui Lucena, Rui Almeida, João Belo, Cláudia Quaresma, Adelaide Jesus, and Pedro Vieira. "Intelligent Chair Sensor." International Journal of System Dynamics Applications 3, no. 2 (April 2014): 65–80. http://dx.doi.org/10.4018/ijsda.2014040105.
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In order to develop an intelligent system capable of posture classification and correction the authors developed a chair prototype equipped with air bladders in the chair's seat pad and backrest, which can in turn detect the user posture based on the pressure inside said bladders and change their conformation by inflation or deflation. Pressure maps for eleven standardized postures were gathered in order to automatically detect the user's posture, with resource to neural networks classifiers. First the authors tried to find the best parameters for the neural network classification of our data, obtaining an overall classification of around 80% for eleven standardized postures. Those neural networks were then exported to a mobile application to achieve a real-time classification of the standardized postures. Results showed a real-time classification of 93.4% for eight standardized postures, even for users that experimented for the first-time our intelligent chair. Using the same mobile application they devised and implemented two correction algorithms, acting due to conformation change of the bladders in the chair's seat when a poor seating posture is detected for certain periods of time.
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Luo, Yongsong, Xiaoliang Chen, Hongmiao Tian, Xiangming Li, Yangtianyu Lu, Yang Liu, and Jinyou Shao. "Gecko-Inspired Slant Hierarchical Microstructure-Based Ultrasensitive Iontronic Pressure Sensor for Intelligent Interaction." Research 2022 (June 14, 2022): 1–13. http://dx.doi.org/10.34133/2022/9852138.
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Highly sensitive flexible pressure sensors play an important role to ensure the safety and friendliness during the human-robot interaction process. Microengineering the active layer has been shown to improve performance of pressure sensors. However, the current structural strategy almost relying on axial compression deformation suffers structural stiffening, and together with the limited area growth efficiency of conformal interface, essentially limiting the maximum sensitivity. Here, inspired by the interface contact behavior of gecko’s feet, we design a slant hierarchical microstructure to act as an electrode contacting with an ionic gel layer, fundamentally eliminating the pressure resistance and maximizing functional interface expansion to achieving ultrasensitive sensitivity. Such a structuring strategy dramatically improves the relative capacitance change both in the low- and high-pressure region, thereby boosting the sensitivity up to 36000 kPa-1 and effective measurement range up to 300 kPa. To verify the advantages of high sensitivity, the sensor is integrated with a soft magnetic robot to demonstrate a biomimetic Venus flytrap. The ability to perceive weak stimuli allows the sensor to be used as a sensory and feedback window, realizing the capture of small live insects and the transportation of fragile objects.
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Guo, Zhenxin, Lixin Mo, Yu Ding, Qingqing Zhang, Xiangyou Meng, Zhengtan Wu, Yinjie Chen, Meijuan Cao, Wei Wang, and Luhai Li. "Printed and Flexible Capacitive Pressure Sensor with Carbon Nanotubes based Composite Dielectric Layer." Micromachines 10, no. 11 (October 23, 2019): 715. http://dx.doi.org/10.3390/mi10110715.
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Flexible pressure sensors have attracted tremendous attention from researchers for their widely applications in tactile artificial intelligence, electric skin, disease diagnosis, and healthcare monitoring. Obtaining flexible pressure sensors with high sensitivity in a low cost and convenient way remains a huge challenge. In this paper, the composite dielectric layer based on the mixture of carbon nanotubes (CNTs) with different aspect ratios and polydimethylsiloxane (PDMS) was employed in flexible capacitive pressure sensor to increase its sensitivity. In addition, the screen printing instead of traditional etching based methods was used to prepare the electrodes array of the sensor. The results showed that the aspect ratio and weight fraction of the CNTs play an important role in improving the sensitivity of the printed capacitive pressure sensor. The prepared capacitive sensor with the CNTs/PDMS composite dielectric layer demonstrated a maximum sensitivity of 2.9 kPa−1 in the pressure range of 0–450 Pa, by using the CNTs with an aspect ratio of 1250–3750 and the weight fraction of 3.75%. The mechanism study revealed that the increase of the sensitivity of the pressure sensor should be attributed to the relative permittivity increase of the composite dielectric layer under pressure. Meanwhile, the printed 3 × 3 and 10 × 10 sensor arrays showed excellent spatial resolution and uniformity when they were applied to measure the pressure distribution. For further applications, the flexible pressure sensor was integrated on an adhesive bandage to detect the finger bending, as well as used to create Morse code by knocking the sensor to change their capacitance curves. The printed and flexible pressure sensor in this study might be a good candidate for the development of tactile artificial intelligence, intelligent medical diagnosis systems and wearable electronics.
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Patra, J. C., A. C. Kot, and G. Panda. "An intelligent pressure sensor using neural networks." IEEE Transactions on Instrumentation and Measurement 49, no. 4 (2000): 829–34. http://dx.doi.org/10.1109/19.863933.
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Yu, Qingyang, and Jian Zhang. "Flexible Capacitive Pressure Sensor Based on a Double-Sided Microstructure Porous Dielectric Layer." Micromachines 14, no. 1 (December 30, 2022): 111. http://dx.doi.org/10.3390/mi14010111.
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In the era of intelligent sensing, there is a huge demand for flexible pressure sensors. High sensitivity is the primary requirement for flexible pressure sensors, whereas pressure response range and resolution, which are also key parameters of sensors, are often ignored, resulting in limited applications of flexible pressure sensors. This paper reports a flexible capacitive pressure sensor based on a double-sided microstructure porous dielectric layer. First, a porous structure was developed in the polymer dielectric layer consisting of silicon rubber (SR)/NaCl/carbon black (CB) using the dissolution method, and then hemisphere microstructures were developed on both sides of the layer by adopting the template method. The synergistic effect of the hemispheric surface microstructure and porous internal structure improves the deformability of the dielectric layer, thus achieving high sensitivity (3.15 kPa−1), wide response range (0–200 kPa), and high resolution (i.e., the minimum pressure detected was 27 Pa). The proposed sensing unit and its array have been demonstrated to be effective in large-area pressure sensing and object recognition. The flexible capacitive pressure sensor developed in this paper is highly promising in applications of robot skin and intelligent prosthetic hands.
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Zhu, Lingfeng, Yancheng Wang, Deqing Mei, and Chengpeng Jiang. "Development of Fully Flexible Tactile Pressure Sensor with Bilayer Interlaced Bumps for Robotic Grasping Applications." Micromachines 11, no. 8 (August 12, 2020): 770. http://dx.doi.org/10.3390/mi11080770.
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Flexible tactile sensors have been utilized in intelligent robotics for human-machine interaction and healthcare monitoring. The relatively low flexibility, unbalanced sensitivity and sensing range of the tactile sensors are hindering the accurate tactile information perception during robotic hand grasping of different objects. This paper developed a fully flexible tactile pressure sensor, using the flexible graphene and silver composites as the sensing element and stretchable electrodes, respectively. As for the structural design of the tactile sensor, the proposed bilayer interlaced bumps can be used to convert external pressure into the stretching of graphene composites. The fabricated tactile sensor exhibits a high sensing performance, including relatively high sensitivity (up to 3.40% kPa−1), wide sensing range (200 kPa), good dynamic response, and considerable repeatability. Then, the tactile sensor has been integrated with the robotic hand finger, and the grasping results have indicated the capability of using the tactile sensor to detect the distributed pressure during grasping applications. The grasping motions, properties of the objects can be further analyzed through the acquired tactile information in time and spatial domains, demonstrating the potential applications of the tactile sensor in intelligent robotics and human-machine interfaces.
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Gao, Jinxia, Longjun Liu, Peng Gao, Yihuan Zheng, Wenxuan Hou, and Junhui Wang. "Intelligent Occlusion Stabilization Splint with Stress-Sensor System for Bruxism Diagnosis and Treatment." Sensors 20, no. 1 (December 22, 2019): 89. http://dx.doi.org/10.3390/s20010089.
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Bruxism is a masticatory muscle activity characterized by high prevalence, widespread complications, and serious consequences but without specific guidelines for its diagnosis and treatment. Although occlusal force-based biofeedback therapy is proven to be safe, effective, and with few side effects in improving bruxism, its mechanism and key technologies remain unclear. The purpose of this study was to research a real-time, quantitative, intelligent, and precise force-based biofeedback detection device based on artificial intelligence (AI) algorithms for the diagnosis and treatment of bruxism. Stress sensors were integrated and embedded into a resin-based occlusion stabilization splint by using a layering technique (sandwich method). The sensor system mainly consisted of a pressure signal acquisition module, a main control module, and a server terminal. A machine learning algorithm was leveraged for occlusal force data processing and parameter configuration. This study implemented a sensor prototype system from scratch to fully evaluate each component of the intelligent splint. Experiment results showed reasonable parameter metrics for the sensors system and demonstrated the feasibility of the proposed scheme for bruxism treatment. The intelligent occlusion stabilization splint with a stress sensor system is a promising approach to bruxism diagnosis and treatment.
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Raj, Deepak S., and Ramesh H. S. Babu. "IFAA: An Intelligent Framework Aware Algorithm to Determine the Boundary of Area under Attack in Military Surveillance and Reconnaissance WSN." Revue d'Intelligence Artificielle 36, no. 4 (August 31, 2022): 635–40. http://dx.doi.org/10.18280/ria.360417.
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Wireless sensor networks (WSNs) have proven effective in military applications of surveillance and reconnaissance. Sensors capable of detecting pressure, temperature, movement and presence of specific chemicals are deployed in such applications. Traditionally, sensor data is collected and transferred to a centralized high-capacity node or control station. Analysis of data is carried out at such centralized facilities. Information or intelligence gathered from sensor data after analysis is used to generate control and management commands that are relayed back to sensor nodes. The situation is analogous to an actual wartime scenario where soldiers who are on the field are equivalent to the sensors. Soldiers observe and sense the situation and communicate their observations to the decision maker who is stationed in the control tent. On gathering field information, the decision maker analyses the data and arrives at his decision which is again communicated to the soldiers on the field. Soldiers as well as sensors are not placed illogically or randomly but intentionally and strategically. Observations made on the field ultimately affect how the soldiers or sensors continue to function. Intelligence gained on the field ultimately gets used on the field itself. Our attempt is to observe, analyze and apply intelligence on the field itself. This work proposes an intelligent algorithm that is aware of the sensor network topology, analyses sensor data within the network and uses the network framework to arrive at usable intelligence. Locally generated intelligence avoids communication to and from the command/control and adds value to military surveillance and reconnaissance applications of WSN. Intelligent sensor management allows us to use just the necessary number of sensors while saving resources on otherwise redundant expenditure. In the present work we have designed and applied a dynamic boundary computation algorithm to determine the boundary of the area under attack. We have compared the results of simulation experiments incorporating the proposed algorithm against a control experiment without the algorithm.
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Mohan Kumar, U., P. Siva SaiManikanta, and M. D. AntoPraveena. "Intelligent Security System for Banking Using Internet of Things." Journal of Computational and Theoretical Nanoscience 16, no. 8 (August 1, 2019): 3296–99. http://dx.doi.org/10.1166/jctn.2019.8180.
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This project proposes a technique for planning a security system for banking with email alerts and sensors. In the presence scenario there are so many banking techniques arrived but none of those are secure the properties without vulnerability. So our project main motto is to protect and also provide security without vulnerability. We use IOT to provide high end security for banking system. Our aim is not only identify the authenticate user but also protecting the customers property from theft. We use tilt sensor, pressure sensor, smoke sensor and pir sensor, this sensors is used to identify the unauthorized person activity and prevent him steeling the property and capture the victim image by using web cam and transfer it to user. This technique remove all the vulnerabilities and make sure that the credentials are safe and it will capture the unauthorised person who tries to axis the security system.
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Patra, Jagdish C., and Ganapati Panda. "ANN-based intelligent pressure sensor in noisy environment." Measurement 23, no. 4 (June 1998): 229–38. http://dx.doi.org/10.1016/s0263-2241(98)00026-8.
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Kieschnick, K., E. Steudel, and W. Weppner. "Intelligent sensor system for CO2 partial pressure measurements." Ionics 3, no. 5-6 (September 1997): 442–47. http://dx.doi.org/10.1007/bf02375722.
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Meng, Xianyu, Qi Wang, Hongsheng Liu, and Xiquan Yu. "Multi-sensor recognition of human pressure." Journal of Physics: Conference Series 2137, no. 1 (December 1, 2021): 012038. http://dx.doi.org/10.1088/1742-6596/2137/1/012038.
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Abstract At present, skin pressure ulcers are a common problem in the care of bedridden patients. Solving this problem usually involves turning the patient over regularly, which requires a lot of manpower and material resources. This paper designs a human body pressure recognition model, which can solve the problem of human pressure ulcers very well in combination with intelligent nursing beds. This paper collects the bone data of the human body by using the Kinect sensor, and then processes the collected data. The film pressure sensor is used to collect the pressure information of the human body, and the pressure information is matched with the bone data of the human body, so as to obtain the pressure of the corresponding part of the human body, and judge the current posture of the human body through the pressure information. When the pressure of the compression part of the human body reaches the threshold, the intelligent nursing bed automatically turns over to reduce the pressure of the compression part of the human body.
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Nagano, T., Mutsumi Touge, and Junji Watanabe. "Thinning Technology of Patterned Silicon Wafer for Micro Pressure Sensor." Key Engineering Materials 291-292 (August 2005): 419–24. http://dx.doi.org/10.4028/www.scientific.net/kem.291-292.419.
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Recently, the research of the gene using the transgenic mouse has been performed for the development of new medicines. However, 600,000 kinds of mice are produced for the elucidation of each gene function. For this reason, the intelligent microchips have been developed to obtain an individual identification and biological information. The ventricular rate of a mouse can be monitored by the micro pressure sensor mounted on the intelligent microchip. In this research, the detailed structure and functions of the micro pressure sensor were investigated by the FEM analysis, and the sensor-chips were manufactured on 6-inch silicon wafer. The wafer thickness had to be reduced owing to the size restriction of the intelligent microchip. The grinding of the 6-inch silicon wafer with 560 µm in thickness with 19200 sensor-chips was carried out by the newly developed thinning technology. After the basic characteristics of a sensor-chip were evaluated, the output profile containing small peaks corresponding to the heartbeat of a transgenic mouse was finally detected using a mounted sensor-chip.
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Chinnamadha, Nagaraj, Roshan Zameer Ahmed, and Kumara Kalegowda. "Development of health monitoring system using smart intelligent device." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 3 (October 7, 2022): 1381. http://dx.doi.org/10.11591/ijeecs.v28.i3.pp1381-1387.
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Electronic technology plays a vital role in healthcare, not only for sensory equipment but also for communication and recording. As a result, the Internet of Things (IoT) is the most recent communication breakthrough in healthcare. In this work, we present a system that tracks patient health using a Blynk application, a micro-controller as a communication gateway, and sensors. When the output of the detector changes, a buzzer is embedded into the controller to alert the nursing staff. The sensor connects to a micro-controller, which is then interfaced with the liquid-crystal display (LCD) panel and wireless local area network (LAN) to provide notifications. An alert will be sent to the doctor through IoT if the system detects a change in the patient’s pulse rate or blood pressure, and the patient’s heartbeat, blood pressure, and body temperature will be displayed in real-time via Cloud. As a result, an IoT-based patient health monitoring system could save lives by efficiently monitoring patients’ health in real- time.
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Chen, Ran, and Dong Ye Sun. "Design of Intelligent Sensing System for Tire Pressure." Key Engineering Materials 439-440 (June 2010): 63–67. http://dx.doi.org/10.4028/www.scientific.net/kem.439-440.63.
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A new kind design scheme of sensing system for tire pressure monitoring system was introduced in this paper. In order to measure the condition of the tire in real time, MCU, MEMS sensor, thermometer, and wireless communication technology is used in this new system. The MEMS sensor and RF emitter was directly installed in tire. It was transmitted for receiver installed in cab by wireless after gas pressure data gathered. It sensed in time pressure condition by receiver, so that driver adopted corresponding countermeasure. The design of hardware and software is discussed in details.
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Xu, Xiuzhu, Hao Zhu, Shengping Dai, Tao Sun, Guanggui Cheng, and Jianning Ding. "High-Sensitivity Pressure Sensors Based on a Low Elastic Modulus Adhesive." Sensors 22, no. 9 (April 30, 2022): 3425. http://dx.doi.org/10.3390/s22093425.
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With the rapid development of intelligent applications, the demand for high-sensitivity pressure sensor is increasing. However, the simple and efficient preparation of an industrial high-sensitivity sensor is still a challenge. In this study, adhesives with different elastic moduli are used to bond pressure-sensitive elements of double-sided sensitive grids to prepare a highly sensitive and fatigue-resistant pressure sensor. It was observed that the low elastic modulus adhesive effectively produced tensile and compressive strains on both sides of the sensitive grids to induce greater strain transfer efficiency in the pressure sensor, thus improving its sensitivity. The sensitivity of the sensor was simulated by finite element analysis to verify that the low elastic modulus adhesive could enhance the sensitivity of the sensor up to 12%. The preparation of high-precision and fatigue-resistant pressure sensors based on low elastic modulus, double-sided sensitive grids makes their application more flexible and convenient, which is urgently needed in the miniaturization and integration electronics field.
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Feng, Rou, Yifeng Mu, Xiangwen Zeng, Weijie Jia, Yuxuan Liu, Xijun Jiang, Qibei Gong, and Youfan Hu. "A Flexible Integrated Bending Strain and Pressure Sensor System for Motion Monitoring." Sensors 21, no. 12 (June 9, 2021): 3969. http://dx.doi.org/10.3390/s21123969.
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Flexible sensors have attracted increasing research interest due to their broad application potential in the fields of human–computer interaction, medical care, sports monitoring, etc. Constructing an integrated sensor system with high performance and being capable of discriminating different stimuli remains a challenge. Here, we proposed a flexible integrated sensor system for motion monitoring that can measure bending strain and pressure independently with a low-cost and simple fabrication process. The resistive bending strain sensor in the system is fabricated by sintering polyimide (PI), demonstrating a gauge factor of 9.54 and good mechanical stability, while the resistive pressure sensor is constructed based on a composite structure of silver nanowires (AgNWs) and polydimethylsiloxane (PDMS)-expandable microspheres with a tunable sensitivity and working range. Action recognition is demonstrated by attaching the flexible integrated sensor system on the wrist with independent strain and pressure information recorded from corresponding sensors. It shows a great application potential in motion monitoring and intelligent human–machine interfaces.
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Hunter, Gary W., Philip G. Neudeck, Robert S. Okojie, Glenn M. Beheim, J. A. Powell, and Liangyu Chen. "An Overview of High-Temperature Electronics and Sensor Development at NASA Glenn Research Center." Journal of Turbomachinery 125, no. 4 (October 1, 2003): 658–64. http://dx.doi.org/10.1115/1.1579508.
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This paper gives a brief overview of the status of high-temperature electronics and sensor development at NASA Glenn Research Center supported in part or in whole by the Ultra Efficient Engine Technology Program. These activities contribute to the long-term development of an intelligent engine by providing information on engine conditions even in high temperature, harsh environments. The technology areas discussed are: 1) high-temperature electronics, 2) sensor technology development (pressure sensor and high-temperature electronic nose), 3) packaging of harsh environment devices and sensors, and 4) improved silicon carbide electronic materials. A description of the state-of-the-art and technology challenges is given for each area. It is concluded that the realization of a future intelligent engine depends on the development of both hardware and software including electronics and sensors to make smart components. When such smart components become available, an intelligent engine composed of smart components may become a reality.title
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Ponmagal, R. S. "Architecting Service Based Sensor Networks for the Intelligent Assimilation." Chinese Journal of Engineering 2014 (January 9, 2014): 1–8. http://dx.doi.org/10.1155/2014/701829.
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The aim of this paper is to propose an architectural model for assimilating distributed sensor networks through cloud paradigm. This strategy can be applied to monitor and control the physical parameters such as temperature, pressure, and level. It is proposed to consider the use of service oriented architecture to program and deploy the sensed parameters. The service oriented architecture for sensor network has been implemented in such a way that, for every specific requirement of the monitor center, the assimilation agent invokes the services of the sensors through a registry and the specific changes in the sensed parameters are also notified as auditable event using push interaction pattern of SOA. The assimilation agent serves as an intelligent component by providing authentication services. This SOA is extended to integrate different types of sensor networks through cloud environment. Hence several sensors can be networked together to monitor different process parameters and they have been assimilated with Internet by registering them as services, hence a complete distributed assimilation environment is exploited.
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Gao, Lin, Junsheng Yu, Ying Li, Peiwen Wang, Jun Shu, Xiaoyan Deng, and Lu Li. "An Ultrahigh Sensitive Paper-Based Pressure Sensor with Intelligent Thermotherapy for Skin-Integrated Electronics." Nanomaterials 10, no. 12 (December 17, 2020): 2536. http://dx.doi.org/10.3390/nano10122536.
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Porous microstructure pressure sensors that are highly sensitive, reliable, low-cost, and environment-friendly have aroused wide attention in intelligent biomedical diagnostics, human–machine interactions, and soft robots. Here, an all-tissue-based piezoresistive pressure sensor with ultrahigh sensitivity and reliability based on the bottom interdigitated tissue electrode and the top bridge of a microporous tissue/carbon nanotube composite was proposed. Such pressure sensors exhibited ultrahigh sensitivity (≈1911.4 kPa−1), fast response time (<5 ms), low fatigue of over 2000 loading/unloading cycles, and robust environmental degradability. These enabled sensors can not only monitor the critical physiological signals of the human body but also realize electrothermal conversion at a specific voltage, which enhances the possibility of creating wearable thermotherapy electronics for protecting against rheumatoid arthritis and cervical spondylosis. Furthermore, the sensor successfully transmitted wireless signals to smartphones via Bluetooth, indicating its potential as reliable skin-integrated electronics. This work provides a highly feasible strategy for promoting high-performance wearable thermotherapy electronics for the next-generation artificial skin.
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Kondratjev, Vladimir, Vasily Litvinsky, and Serhii Pohuliai. "Development of an intelligent preamplifier for semiconductor detectors." Nuclear Technology and Radiation Protection 36, no. 1 (2021): 91–96. http://dx.doi.org/10.2298/ntrp201109008k.
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The results of engineering an intelligent preamplifier for high purity germanium gamma-detectors are presented. An intelligent preamplifier is a low-noise, high speed resistive feedback charge-sensitive preamplifier with a built-in microcontroller and additional units that enable control of preamplifier and detector parameters. It also allows the performance managing of the internal testing pulser, sensor of liquid nitrogen level in a Dewar, humidity, pressure and temperature sensors in a sealed preamplifier section. Intelligent preamplifier operation, set-up, and parameter measurements are controlled by a software.
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Li, Mengmeng, Jiaming Liang, Xudong Wang, and Min Zhang. "Ultra-Sensitive Flexible Pressure Sensor Based on Microstructured Electrode." Sensors 20, no. 2 (January 9, 2020): 371. http://dx.doi.org/10.3390/s20020371.
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Flexible pressure sensors with a high sensitivity in the lower zone of a subtle-pressure regime has shown great potential in the fields of electronic skin, human–computer interaction, wearable devices, intelligent prosthesis, and medical health. Adding microstructures on the dielectric layer on a capacitive pressure sensor has become a common and effective approach to enhance the performance of flexible pressure sensors. Here, we propose a method to further dramatically increase the sensitivity by adding elastic pyramidal microstructures on one side of the electrode and using a thin layer of a dielectric in a capacitive sensor. The sensitivity of the proposed device has been improved from 3.1 to 70.6 kPa−1 compared to capacitive sensors having pyramidal microstructures in the same dimension on the dielectric layer. Moreover, a detection limit of 1 Pa was achieved. The finite element analysis performed based on electromechanical sequential coupling simulation for hyperelastic materials indicates that the microstructures on electrode are critical to achieve high sensitivity. The influence of the duty ratio of the micro-pyramids on the sensitivity of the sensor is analyzed by both simulation and experiment. The durability and robustness of the device was also demonstrated by pressure testing for 2000 cycles.
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Wei, Liang, Yongcheng Li, Zhimei Cui, Baoshi Wang, Guanlang Huang, Zhiming Wang, and Jie Wei. "Research and Demonstration of Intelligent Multi-Physical Quantity Integration Sensor for Transmission Lines." Journal of Physics: Conference Series 2215, no. 1 (February 1, 2022): 012021. http://dx.doi.org/10.1088/1742-6596/2215/1/012021.
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Abstract The digital grid requires sensors to be widely deployed, safe, and reliable. At present, the single functional sensors suffered from redundant sensing system, repeated construction and low utilization rate. Therefore, this paper researched the multi-physical quantity integration sensor for a quad-bundle spacer on 500kV transmission lines. The sensor was composed of self-supplying rings and the monitoring host. Based on the non-contact current measurement technology, energy supply technology, intelligent sensing technology, low power consumption technology, reliability design technology, and other advanced technologies, this paper designed the hardware, software, and protective structure of the sensor, which can monitor the current and temperature of bubbles, channel side image and infrared image on transmission lines, ambient temperature, humidity, and air pressure. Finally, the multi-physical quantity integration sensors have been used on transmission lines in China Southern Power Grid, and the functions were verified. The sensors promote the automation, information, and digitization of monitoring transmission lines.
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Wang, Honghao, Chun Liang, Haozhe Zhang, Yan Diao, Hua Luo, Yangyang Han, and Xiaodong Wu. "Digitized Construction of Iontronic Pressure Sensor with Self-Defined Configuration and Widely Regulated Performance." Sensors 22, no. 16 (August 16, 2022): 6136. http://dx.doi.org/10.3390/s22166136.
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Flexible pressure sensors are essential components for wearable smart devices and intelligent systems. Significant progress has been made in this area, reporting on excellent sensor performance and fascinating sensor functionalities. Nevertheless, geometrical and morphological engineering of pressure sensors is usually neglected, which, however, is significant for practical application. Here, we present a digitized manufacturing methodology to construct a new class of iontronic pressure sensors with optionally defined configurations and widely modulated performance. These pressure sensors are composed of self-defined electrode patterns prepared by a screen printing method and highly tunable pressure-sensitive microstructures fabricated using 3D printed templates. Importantly, the iontronic pressure sensors employ an iontronic capacitive sensing mechanism based on mechanically regulating the electrical double layer at the electrolyte/electrode interfaces. The resultant pressure sensors exhibit high sensitivity (58 kPa−1), fast response/recovery time (45 ms/75 ms), low detectability (6.64 Pa), and good repeatability (2000 cycles). Moreover, our pressure sensors show remarkable tunability and adaptability in device configuration and performance, which is challenging to achieve via conventional manufacturing processes. The promising applications of these iontronic pressure sensors in monitoring various human physiological activities, fabricating flexible electronic skin, and resolving the force variation during manipulation of an object with a robotic hand are successfully demonstrated.
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Silva, Arlindo, José Metrôlho, Fernando Ribeiro, Filipe Fidalgo, Osvaldo Santos, and Rogério Dionisio. "A Review of Intelligent Sensor-Based Systems for Pressure Ulcer Prevention." Computers 11, no. 1 (December 31, 2021): 6. http://dx.doi.org/10.3390/computers11010006.
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Pressure ulcers are a critical issue not only for patients, decreasing their quality of life, but also for healthcare professionals, contributing to burnout from continuous monitoring, with a consequent increase in healthcare costs. Due to the relevance of this problem, many hardware and software approaches have been proposed to ameliorate some aspects of pressure ulcer prevention and monitoring. In this article, we focus on reviewing solutions that use sensor-based data, possibly in combination with other intrinsic or extrinsic information, processed by some form of intelligent algorithm, to provide healthcare professionals with knowledge that improves the decision-making process when dealing with a patient at risk of developing pressure ulcers. We used a systematic approach to select 21 studies that were thoroughly reviewed and summarized, considering which sensors and algorithms were used, the most relevant data features, the recommendations provided, and the results obtained after deployment. This review allowed us not only to describe the state of the art regarding the previous items, but also to identify the three main stages where intelligent algorithms can bring meaningful improvement to pressure ulcer prevention and mitigation. Finally, as a result of this review and following discussion, we drew guidelines for a general architecture of an intelligent pressure ulcer prevention system.
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Udupa, Prathiba, and Siva S. Yellampalli. "Smart home for elder care using wireless sensor." Circuit World 44, no. 2 (May 8, 2018): 69–77. http://dx.doi.org/10.1108/cw-12-2017-0072.
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Purpose The purpose of this paper is to explain, in brief, about smart, intelligent system which actively monitors the wellness of the elderly and will also send necessary alarms to the caretakers or doctors during an emergency because nowadays most of elderly people wish to stay alone independently. It is necessary to monitor their health conditions and activities continuously to prevent occurrence of health problems and also be able to provide medical assistance to them during emergencies. Design/methodology/approach The review paper describes the development of a methodology to monitor elderly continuously with a combination of advanced intelligent sensors, networking technologies and data processing system. Findings This paper identified various sensors used in smart home such as a pressure sensor, temperature sensor, etc., for monitoring elders health and their characteristics and also the cost, model number, etc., of various sensors available in the market. Originality/value This paper contains the comparison of various sensors available in the market that can be used in the smart home and also where we can use those sensors in smart home based on their characteristics.
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Tai, Guojun, Dapeng Wei, Min Su, Pei Li, Lei Xie, and Jun Yang. "Force-Sensitive Interface Engineering in Flexible Pressure Sensors: A Review." Sensors 22, no. 7 (March 30, 2022): 2652. http://dx.doi.org/10.3390/s22072652.
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Flexible pressure sensors have received extensive attention in recent years due to their great importance in intelligent electronic devices. In order to improve the sensing performance of flexible pressure sensors, researchers are committed to making improvements in device materials, force-sensitive interfaces, and device structures. This paper focuses on the force-sensitive interface engineering of the device, which listing the main preparation methods of various force-sensitive interface microstructures and describing their respective advantages and disadvantages from the working mechanisms and practical applications of the flexible pressure sensor. What is more, the device structures of the flexible pressure sensor are investigated with the regular and irregular force-sensitive interface and accordingly the influences of different device structures on the performance are discussed. Finally, we not only summarize diverse practical applications of the existing flexible pressure sensors controlled by the force-sensitive interface but also briefly discuss some existing problems and future prospects of how to improve the device performance through the adjustment of the force-sensitive interface.
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Leschik, Josef, Anton Harasim, and Jens Müller. "Intelligent hermetically sealed LTCC Package with an integrated sensor system for avionics." Additional Conferences (Device Packaging, HiTEC, HiTEN, and CICMT) 2012, CICMT (September 1, 2012): 000507–11. http://dx.doi.org/10.4071/cicmt-2012-wp25.
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In this article, the fabrication process and the first results of a deep-drawn LTCC housing with integrated sensors in the field of avionic are presented This housing includes a pressure sensor that monitors the density of the housing - “self monitoring”. Furthermore, a humidity and a temperature sensor in the inner or outer layers of the LTCC decks are implemented, so that the internal state of the circuit can be monitored. Due to high integration (miniaturization) of the sensors the condition of the circuit can be monitored continuously. This allows the assembly upon the occurrence of an irregularity, such as the increase in moisture, to be replaced specifically. As a result, high costs in the field of material, maintenance, repairing und breakdown can be saved.
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Zhang, Peng, Yucheng Chen, Yuxia Li, Yun Zhao, Wei Wang, Shuyuan Li, and Liangsong Huang. "Flexible Piezoresistive Sensor with the Microarray Structure Based on Self-Assembly of Multi-Walled Carbon Nanotubes." Sensors 19, no. 22 (November 15, 2019): 4985. http://dx.doi.org/10.3390/s19224985.
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High-performance flexible pressure sensors have great application prospects in numerous fields, including the robot skin, intelligent prosthetic hands and wearable devices. In the present study, a novel type of flexible piezoresistive sensor is presented. The proposed sensor has remarkable superiorities, including high sensitivity, high repeatability, a simple manufacturing procedure and low initial cost. In this sensor, multi-walled carbon nanotubes were assembled onto a polydimethylsiloxane film with a pyramidal microarray structure through a layer-by-layer self-assembly system. It was found that when the applied external pressure deformed the pyramid microarray structure on the surface of the polydimethylsiloxane film, the resistance of the sensor varied linearly as the pressure changed. Tests that were performed on sensor samples with different self-assembled layers showed that the pressure sensitivity of the sensor could reach − 2.65 kPa − 1 , which ensured the high dynamic response ability and the high stability of the sensor. Moreover, it was proven that the sensor could be applied as a strain sensor under the tensile force to reflect the stretching extent or the bending object. Finally, a flexible pressure sensor was installed on five fingers and the back of the middle finger of a glove. The obtained results from grabbing different weights and different shapes of objects showed that the flexible pressure sensor not only reflected the change in the finger tactility during the grasping process, but also reflected the bending degree of fingers, which had a significant practical prospect.
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Tong, Lukai. "A Intelligent Campus Based on the Internet of Things------Campus Intelligent Drainage System." Urban Transportation & Construction 6, no. 4 (January 29, 2021): 66. http://dx.doi.org/10.18686/utc.v6i4.97.
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<p><span lang="EN-US">Nowadays, the Internet of Things is being used in various fields. Drainage is placed at the top of the priority in campus life. However, the current campus drainage system cannot meet people’s yearning for a better life, so the system needs to be optimized. The optimized drainage system is divided into four parts. Sensor part, communication part, cloud control part, water storage/drainage part, identification part. RFID and AI technology are used for identification, temperature, humidity and pressure sensors are used for perception, cloud computing technology is used for cloud control, WIFI technology is used for communication and water storage and drainage control has three modes: remote control, automatic closed-loop control and manual control. Drainage network with circular pipe network drainage system, to achieve intelligent, accurate goals.</span></p>
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Duan, Yanhao, Jian Wu, Shixue He, Benlong Su, Zhe Li, and Youshan Wang. "Bioinspired Spinosum Capacitive Pressure Sensor Based on CNT/PDMS Nanocomposites for Broad Range and High Sensitivity." Nanomaterials 12, no. 19 (September 20, 2022): 3265. http://dx.doi.org/10.3390/nano12193265.
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Flexible pressure sensors have garnered much attention recently owing to their prospective applications in fields such as structural health monitoring. Capacitive pressure sensors have been extensively researched due to their exceptional features, such as a simple structure, strong repeatability, minimal loss and temperature independence. Inspired by the skin epidermis, we report a high-sensitivity flexible capacitive pressure sensor with a broad detection range comprising a bioinspired spinosum dielectric layer. Using an abrasive paper template, the bioinspired spinosum was fabricated using carbon nanotube/polydimethylsiloxane (CNT/PDMS) composites. It was observed that nanocomposites comprising 1 wt% CNTs had excellent sensing properties. These capacitive pressure sensors allowed them to function at a wider pressure range (~500 kPa) while maintaining sensitivity (0.25 kPa−1) in the range of 0–50 kPa, a quick response time of approximately 20 ms and a high stability even after 10,000 loading–unloading cycles. Finally, a capacitive pressure sensor array was created to detect the deformation of tires, which provides a fresh approach to achieving intelligent tires.
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Shimada, S., S. Ugai, S. Sakamoto, A. Sase, and Y. Shimizu. "Intelligent differential pressure transmitter with multiple sensor formed on a." IEEE Transactions on Industrial Electronics 38, no. 5 (1991): 379–84. http://dx.doi.org/10.1109/41.97558.
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Ying, Shu, Jiean Li, Jinrong Huang, Jia-Han Zhang, Jing Zhang, Yongchang Jiang, Xidi Sun, Lijia Pan, and Yi Shi. "A Flexible Piezocapacitive Pressure Sensor with Microsphere-Array Electrodes." Nanomaterials 13, no. 11 (May 23, 2023): 1702. http://dx.doi.org/10.3390/nano13111702.
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Flexible pressure sensors that emulate the sensation and characteristics of natural skins are of great importance in wearable medical devices, intelligent robots, and human–machine interfaces. The microstructure of the pressure-sensitive layer plays a significant role in the sensor’s overall performance. However, microstructures usually require complex and costly processes such as photolithography or chemical etching for fabrication. This paper proposes a novel approach that combines self-assembled technology to prepare a high-performance flexible capacitive pressure sensor with a microsphere-array gold electrode and a nanofiber nonwoven dielectric material. When subjected to pressure, the microsphere structures of the gold electrode deform via compressing the medium layer, leading to a significant increase in the relative area between the electrodes and a corresponding change in the thickness of the medium layer, as simulated in COMSOL simulations and experiments, which presents high sensitivity (1.807 kPa−1). The developed sensor demonstrates excellent performance in detecting signals such as slight object deformations and human finger bending.
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Wang, Bingxin, Ting Shi, Yanru Zhang, Changzhou Chen, Qiang Li, and Yongming Fan. "Lignin-based highly sensitive flexible pressure sensor for wearable electronics." Journal of Materials Chemistry C 6, no. 24 (2018): 6423–28. http://dx.doi.org/10.1039/c8tc01348a.
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Chen, Mengxiao, Zhe Wang, Yu Zheng, Qichong Zhang, Bing He, Jiao Yang, Miao Qi, and Lei Wei. "Flexible Tactile Sensor Based on Patterned Ag-Nanofiber Electrodes through Electrospinning." Sensors 21, no. 7 (March 31, 2021): 2413. http://dx.doi.org/10.3390/s21072413.
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The growing demand for intelligent equipment has greatly inspired the development of flexible devices. Thus, disparate flexible multifunctional devices, including pressure sensitive flexible/stretchable displays, have drawn worldwide research attention. Electrodes maintaining conductivity and mechanical strength against deformations are indispensable components in all prospective applications. In this work, a flexible pressure mapping sensor array is developed based on patterned Ag-nanofibers (Ag-NFs) electrode through electrospinning and lithography. The metallic Ag layer is sputtered onto the electrospinning polyvinyl alcohol (PVA) NFs. A uniform and super conductive electrode layer with outstanding mechanical performance is thus formed after dissolving PVA. Followed by the traditional lithography method, a patterned electrode array (4 × 4 sensors) is obtained. Based on the newly developed triboelectric nanogenerator (TENG) technology, a flexible pressure-mapping sensor with excellent stability towards bending deformations is further demonstrated. Moreover, a letter “Z” is successfully visualized by this pressure sensor array, encouraging more human–machine interactive implementations, such as multi-functional tactile screens.
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Wu, Suzhen. "Design of Intelligent Nursing System Based on Artificial Intelligence." Journal of Sensors 2022 (August 21, 2022): 1–5. http://dx.doi.org/10.1155/2022/7427968.
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As the number of the elderly population and the population dependency ratio increase year by year, the issue of old-age care has become the focus. However, due to the shortage of carers and the large-scale and expensive auxiliary equipment for the elderly, it is difficult to give thoughtful care to all the elderly. In view of the above background, this paper designs a set of intelligent nursing system for the elderly based on artificial intelligence (AI) algorithms, which mainly includes sensor terminals and AI processing algorithms. Among them, the sensor terminal mainly includes two parts: video monitoring and human biological signal monitoring. For video surveillance signals, this paper uses scene event detection algorithm to detect abnormal events, so as to automatically perceive possible unexpected situations. For human biological signals, such as heart rate, blood pressure, and pulse, the abnormal detection is carried out through data analysis and comparison with the normal index range. So, the possible problems in the physical state of the elderly can be judged in time. Through more comprehensive state monitoring and reliable algorithm processing, the system can effectively solve many hidden dangers in the current elderly care and provide a feasible solution for smart nursing.
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Khong Duc, Chien, Van-Phuc Hoang, Duy Tien Nguyen, and Toan Thanh Dao. "A Low-Cost, Flexible Pressure Capacitor Sensor Using Polyurethane for Wireless Vehicle Detection." Polymers 11, no. 8 (July 27, 2019): 1247. http://dx.doi.org/10.3390/polym11081247.
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Detection of vehicles on the road can contribute to the establishment of an intelligent transportation management system to allow smooth transportation and the reduction of road accidents. Thus far, an efficient and low-cost polymer flexible pressure sensor for vehicle detection is lacking. This paper presents a flexible sensor for vehicle sensing and demonstrates a wireless system for monitoring vehicles on the road. A vehicle sensor was fabricated by sandwiching a polyurethane material between aluminum top/bottom electrodes. The sensing mechanism was based on changes in capacitance due to variation in the distance between the two electrodes at an applied external pressure. A clear response against a pressure load of 0.65 Mpa was observed, which is the same pressure as that of the car tire area in contact with the road. Significantly, the sensor was easy to embed on the road line due to its mechanical flexibility and large size. A field test was carried out by embedding the sensor on the road and crossing the sensor with a car. Moreover, the signal displayed on the tablet indicated that the sensing system can be used for wireless detection of the axle, speed, or weight of the vehicle on the road. The findings suggest that the flexible pressure sensor is a promising tool for use as a low-cost vehicle detector in future intelligent transportation management.
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Li, Yao Hui. "Research on Information Processing Module in Intelligent Alcohol Tester." Applied Mechanics and Materials 530-531 (February 2014): 213–16. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.213.
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Information processing module, which includes fuel cell sensor circuit, pressure sensor circuit, heating and temperature sensor circuit and signal filtering amplifier, is the core of Intelligent Alcohol Tester. Its main task is to complete the collection and pretreatment of alcohol gas signal. In this paper, the hardware module is first simply introduced. And next, test method and the relevant criteria are done to prove that the modules have good accuracy and stability and achieve the requirements of alcohol tester.
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Akhter, Fowzia, Sam Khadivizand, Hasin Reza Siddiquei, Md Eshrat E. Alahi, and Subhas Mukhopadhyay. "IoT Enabled Intelligent Sensor Node for Smart City: Pedestrian Counting and Ambient Monitoring." Sensors 19, no. 15 (August 1, 2019): 3374. http://dx.doi.org/10.3390/s19153374.
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An Internet of Things (IoT) enabled intelligent sensor node has been designed and developed for smart city applications. The fabricated sensor nodes count the number of pedestrians, their direction of travel along with some ambient parameters. The Field of View (FoV) of Fresnel lens of commercially available passive infrared (PIR) sensors has been specially tuned to monitor the movements of only humans and no other domestic animals such as dogs, cats etc. The ambient parameters include temperature, humidity, pressure, Carbon di Oxide (CO2) and total volatile organic component (TVOC). The monitored data are uploaded to the Internet server through the Long Range Wide Area Network (LoRaWAN) communication system. An intelligent algorithm has been developed to achieve an accuracy of 95% for the pedestrian count. There are a total of 74 sensor nodes that have been installed around Macquarie University and continued working for the last six months.
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Carpenter, Chris. "Multiannuli Solution Uses Intelligent Pipe for Real-Time Monitoring." Journal of Petroleum Technology 75, no. 03 (March 1, 2023): 68–70. http://dx.doi.org/10.2118/0323-0068-jpt.
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_ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 211546, “Intelligent Pipe: A Multiannuli Monitoring Solution,” by Francois-Xavier Bulard, Vallourec; Emmanuel Tavernier, OpenField Technology; and Lucas Kling, Vallourec. The paper has not been peer reviewed. _ The authors describe a multiannular monitoring solution that measures pressure and temperature for each well annulus. These key parameters are captured by sensors based on microelectromechanical-system technology. A transmission methodology is used that allows power supply and data retrieval even for annuli beyond the B annulus. All electronic elements of the solution will be qualified through an international recommendation protocol [Advanced Well Equipment Standards (AWES)] that consists of a series of mechanical and long-term tests to ensure that the system will survive for 20 years at 125°C. The solution could be used in all storage applications, especially those related to the energy transition. Introduction The initial goal of the intelligent-pipe solution was to add functionality to tubulars by embedding miniaturized sensors into the pipe body. The secondary objective was to monitor the pipe’s environment to properly characterize well loads and compare them to its strength resistance. The main application of the solution was then to monitor annulus conditions in real time during the whole life of the well and to anticipate any leakage or annular-pressure-buildup issue that could not be monitored currently on subsea wells. A tubular design was developed to incorporate pressure and temperature sensors without affecting the integrity of the pipe. The design was verified by a testing protocol performed by an in-house testing laboratory. This protocol consisted, first, of finite-element analysis (FEA) performed on different tubular designs with the objective of optimizing the different shapes of the grooves created to incorporate the sensors. The second steps included physical tests performed on a specimen inside test frames that confirmed that the tubular integrity was not affected after several pressure and axial load cycles, even when applying maximum pipe-resistance loads. This mechanical test qualification demonstrated that the monitoring mandrel was able to withstand the constraints observed in a well. The qualification level achieved was the same as that achieved on the premium pipe connection. Much of the complete paper is dedicated to the development of the permanent solution; this synopsis focuses on the system’s pilot deployment and its global system qualification. First Deployment in a Deepwater Subsea Well The operator’s objective was to monitor several annuli of a subsea well to determine the effect of completion operations. This characterization was completed before the well-production phase. The main outputs of the pilot were annuli trapped pressure and temperature. The pilot was defined initially in two stages. The first was to monitor the B and C annuli conditions (pressure and temperature) immediately after casing deployment. The second was to do so again after running completions and various stimulation operations. A secondary objective was to retrieve historical sensor data, pressure, and temperature records from the time of sensor deployment to data-retrieval operation.
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Ford, Terry. "New Materials." Aircraft Engineering and Aerospace Technology 64, no. 3 (March 1, 1992): 2–3. http://dx.doi.org/10.1108/eb037215.
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A development with a great deal of potential, at least in the military field, is the production of so‐called ‘intelligent skins’. The technology for these will form part of that required for smart structures, that is those that contain sensors and actuators embedded within the laminate with built‐in signal processing and adaptive control. The intelligent skin is a step towards this technology since it contains fibre optic sensors that can be used to sense strain, temperature, deformation, pressure and other conditions. If the sensor does not need to be embedded or is to be used on metallic structures, the fibre optics can be adhered to the surface.
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Akintona, Ezekiel Oluwadamilare. "Design a System for Multifunctional Reconfigurable Intelligent Sensors." World Construction 9, no. 1 (2020): 12–20. http://dx.doi.org/10.26789/jwc.2020.01.003.
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Experimental studies of some object or phenomenon testing of industrial products control of mechanisms or processes is inconceivable without measurements of physical quantities that characterize the state of the object. Therefore, the composition of any measuring, testing or control system as the most important components includes primary measuring transducers - sensors. The main function of the sensors is to convert the values of various physical quantities into electrical voltage. Strength time parameter of the electrical signal. In the list of tasks that need to be solved in the development and application of measuring systems, one of the most important is that it is necessary to measure not one, but different physical quantities for example, pressure, vibration, rotation speed, deformations, use different in principle of operation, characteristics and sensor design.
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Zheng, Rongliang, Youyuan Wang, Zhanxi Zhang, Yanfang Zhang, and Jinzhan Liu. "High sensitivity and broad detection range flexible capacitive pressure sensor based on rGO cotton fiber for human motion detection." Smart Materials and Structures 31, no. 2 (December 27, 2021): 025019. http://dx.doi.org/10.1088/1361-665x/ac3c07.
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Abstract Recently, flexible pressure sensors have attracted considerable interest in electronic skins, wearable devices, intelligent robots and biomedical diagnostics. However, the design of high sensitivity flexible pressure sensors often relies on expensive materials and complex process technology, which greatly limit their popularity and applications. Even worse, chemical-based sensors are poorly biocompatible and harmful to the environment. Here, we developed a flexible capacitive pressure sensor based on reduced graphene oxide cotton fiber by a simple and low-cost preparation process. The environmentally friendly sensor exhibited a comprehensive performance with not only ultra-high sensitivity (up to 15.84 kPa−1) and a broad sensing range (0–500 kPa), but also excellent repeatability (over 400 cycles), low hysteresis (⩽11.6%), low detection limit (<0.1 kPa) and wide frequency availability (sensitivity from 19.71 to 11.24 kPa−1, frequency from 100 Hz to 10 kHz). Based on its superior performance, the proposed sensor can detect various external stimuli (vertical stress, bending and airflow) and has been successfully applied for facial expression recognition, breathing detection, joint movement and walking detection, showing great potential for application in artificial electronic skin and wearable healthcare devices.
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Olugboji, O. A., M. S. Abolarin, O. Adedipe, C. Ajani, G. Atolagbe, and E. N. Aba. "Pipeline inspection using a low-cost Wi-Fi based intelligent pigging solution." Nigerian Journal of Technology 41, no. 5 (November 9, 2022): 844–53. http://dx.doi.org/10.4314/njt.v41i5.4.
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This study presents a low-cost smart pipeline inspection gauge (PIG) designed for pipeline defect (leakage) detection, and for quick data access and recovery for the purpose of analysis, utilizing locally sourced materials and off-the-shelf sensors and electronics. The PIG’s electronic circuit is designed to house the sensors and allow for easy reception and transfer of pressure measurements to the pipeline manager’s laptop via a WiFi module. A pressure sensor, a motion sensor, a wireless communicator, and an Arduino Microcontroller are utilized in the development of this PIG. The PIG was tested experimentally by being put through stationary, no load-no defect, and no load-defect tests respectively. The PIG was kept still during the stationary tests but was conveyed within a 160 mm diameter Polyvinyl Chloride (PVC) conduit with a length of 6.7 m for both the no load-no defect and no load-defect tests, using a 0.125 Hp direct current (DC) motor, with a gearbox attachment to pull from one end to the other. Using a WiFi module and the PuTTY program, the pressure values were retrieved. The test results revealed that P1 (front pressure) values were higher than P2 (rear pressure) values for the no load tests. P1 readings ranged from 1213 to 1214 Pa, with an average of 1213.86 Pa for the no load-no defect tests. The average P2 value was 1094.24 Pa, with a range of 1094.24 Pa to 1094.75 Pa. The pressure values for the no load-defect cases began at 1226.8 Pa and steadily decreased for the first 1.5 minutes, then remained at an average of 1214.2 Pa for the next 20 seconds until they arrived at the first defected point, where a value of 1216.1 Pa was recorded. The PIG traversed the pipeline until it had caught all of the pressure pulses at the defective sites. The higher pressure pulses (spikes) observed at the points of defects created along the pipeline in the experimental results from the no load-defect tests indicates that the Smart PIG was capable of detecting the created defects and demonstrated that the low-cost Smart PIG can be used to detect leakages on a pipe and can also be deployed in real life situations.
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Wu, Zhaoqian. "Biosensors And Intelligent Algorithms for Heart Failure Monitoring." Highlights in Science, Engineering and Technology 45 (April 18, 2023): 59–68. http://dx.doi.org/10.54097/hset.v45i.7309.
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Heart failure is one of the most common causes of mortality and the final stage of cardiovascular disease. The prognosis of individuals with chronic heart failure has improved to some extent which is thanks to our increased understanding of heart failure. Both invasive and non-invasive biosensors have advanced significantly during the previous ten years. It has been demonstrated that biosensors can identify heart failure early and lower the need for hospitalization. In the past, biosensors mainly detected the general condition of patients' vital signs, but now they have been developed into invasive biosensors for monitoring pressure changes such as a pulmonary artery pressure, right ventricle pressure, left atrium pressure and so on. It allows clinicians to observe the function of the heart more intuitively. Non-invasive biosensors can monitor electrocardiograms, heart sounds, pleural effusion and so on, and evaluate the risk of recurrent heart failure by observing the risk factors of heart failure deterioration. Although this kind of sensor cannot cause harm to patients, often not as accurate and timely as invasive sensors. There are intelligent algorithms based on biosensors, which belongs to machine learning, which can greatly improve the specificity of patient diagnosis. These biosensors and intelligent algorithms can further improve the survival rate of patients.
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Zhang, Lin-rui, Jun Xiao, Wei-wei Zhang, and Xu-guang Zhang. "Research on Embedded Detection System Based on Intelligent Pressure Transmitter." Journal of Physics: Conference Series 2252, no. 1 (April 1, 2022): 012020. http://dx.doi.org/10.1088/1742-6596/2252/1/012020.
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Abstract A new development scheme of check equipment for recoil device is designed. In view of the existing reverse recoil device check there is a long time to prepare, data interpretation and difficult problems, the application of advanced touch technology and sensor technology, completed the embedded test system scheme based on intelligent pressure transmitter design, can quickly test reverse recoil device to check the key parameters, and be able to compare the interpretation of data in real-time, Shorten the inspection time of recoil device and improve the accuracy of test data. The simulation research of the scheme design system is carried out in the computer of LINUX system. Through the simulation, it is found that each system module can work correctly and normally, with higher generality and artificial intelligence.
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Zhang, Lin-rui, Jun Xiao, Wei-wei Zhang, and Xu-guang Zhang. "Research on Embedded Detection System Based on Intelligent Pressure Transmitter." Journal of Physics: Conference Series 2252, no. 1 (April 1, 2022): 012020. http://dx.doi.org/10.1088/1742-6596/2252/1/012020.
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Abstract A new development scheme of check equipment for recoil device is designed. In view of the existing reverse recoil device check there is a long time to prepare, data interpretation and difficult problems, the application of advanced touch technology and sensor technology, completed the embedded test system scheme based on intelligent pressure transmitter design, can quickly test reverse recoil device to check the key parameters, and be able to compare the interpretation of data in real-time, Shorten the inspection time of recoil device and improve the accuracy of test data. The simulation research of the scheme design system is carried out in the computer of LINUX system. Through the simulation, it is found that each system module can work correctly and normally, with higher generality and artificial intelligence.
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Zhang, Lin-rui, Jun Xiao, Wei-wei Zhang, and Xu-guang Zhang. "Research on Embedded Detection System Based on Intelligent Pressure Transmitter." Journal of Physics: Conference Series 2252, no. 1 (April 1, 2022): 012020. http://dx.doi.org/10.1088/1742-6596/2252/1/012020.
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Abstract A new development scheme of check equipment for recoil device is designed. In view of the existing reverse recoil device check there is a long time to prepare, data interpretation and difficult problems, the application of advanced touch technology and sensor technology, completed the embedded test system scheme based on intelligent pressure transmitter design, can quickly test reverse recoil device to check the key parameters, and be able to compare the interpretation of data in real-time, Shorten the inspection time of recoil device and improve the accuracy of test data. The simulation research of the scheme design system is carried out in the computer of LINUX system. Through the simulation, it is found that each system module can work correctly and normally, with higher generality and artificial intelligence.