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Статті в журналах з теми "Sensor Designing"

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Автор: Grafiati

Опубліковано: 6 вересня 2023

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1

Kulkarni, Amol, Janis Terpenny, and Vittaldas Prabhu. "Sensor Selection Framework for Designing Fault Diagnostics System." Sensors 21, no. 19 (September 28, 2021): 6470. http://dx.doi.org/10.3390/s21196470.

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Анотація:

In a world of rapidly changing technologies, reliance on complex engineered systems has become substantial. Interactions associated with such systems as well as associated manufacturing processes also continue to evolve and grow in complexity. Consider how the complexity of manufacturing processes makes engineered systems vulnerable to cascading and escalating failures; truly a highly complex and evolving system of systems. Maintaining quality and reliability requires considerations during product development, manufacturing processes, and more. Monitoring the health of the complex system while in operation/use is imperative. These considerations have compelled designers to explore fault-mechanism models and to develop corresponding countermeasures. Increasingly, there has been a reliance on embedded sensors to aid in prognosticating failures, to reduce downtime, during manufacture and system operation. However, the accuracy of estimating the remaining useful life of the system is highly dependent on the quality of the data obtained. This can be enhanced by increasing the number of sensors used, according to information theory. However, adding sensors increases total costs with the cost of the sensors and the costs associated with information-gathering procedures. Determining the optimal number of sensors, associated operating and data acquisition costs, and sensor-configuration are nontrivial. It is also imperative to avoid redundant information due to the presence of additional sensors and the efficient display of information to the decision-maker. Therefore, it is necessary to select a subset of sensors that not only reduce the cost but are also informative. While progress has been made in the sensor selection process, it is limited to either the type of the sensor, number of sensors or both. Such approaches do not address specifications of the required sensors which are integral to the sensor selection process. This paper addresses these shortcomings through a new method, OFCCaTS, to avoid the increased cost associated with health monitoring and to improve its accuracy. The proposed method utilizes a scalable multi-objective framework for sensor selection to maximize fault detection rate while minimizing the total cost of sensors. A wind turbine gearbox is considered to demonstrate the efficacy of the proposed framework.

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2

Elaine Shi and A. Perrig. "Designing Secure Sensor Networks." IEEE Wireless Communications 11, no. 6 (December 2004): 38–43. http://dx.doi.org/10.1109/mwc.2004.1368895.

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3

Kwon, Oh-Heum, and Ha-Joo Song. "Sensor Deployment Simulator for Designing Sensor Fields." Journal of Korea Multimedia Society 16, no. 3 (March 31, 2013): 354–65. http://dx.doi.org/10.9717/kmms.2013.16.3.354.

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4

Zakri, Azriyenni Azhari, Arfianti Arfianti, Amir Hamzah, M. Iqbal, Hamdy Madjid, and Naufal Fikri Aulia. "Designing Flex Sensor Gloves with Temperature Sensor & Pulse Sensor to Help Stroke Patients." International Journal of Emerging Technology and Advanced Engineering 12, no. 12 (December 4, 2022): 23–31. http://dx.doi.org/10.46338/ijetae1222_03.

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Stroke patients often have trouble in daily interactions, when the patient communicated with people who are guarding them. If the distance between the patient and their guard is far, this will make it difficult for the stroke patient to communicate. Therefore, this research designed a prototype glove with a flex sensor installed as a communication tool to aid stroke patients. The designed glove is paired with five flexible sensors to enable nurses easily to read the five-finger movement signals. This tool is also equipped with DS18B20 temperature and pulse sensors capable of monitoring the physical condition of stroke patients in real-time. Testing the flex sensor glove prototype was carried out by measuring temperature & heart rate through pulse and temperature sensors. The output data is in the form of text and sound displayed on the LCD and heard through the speaker through the DFPlayer mini module. The body temperature was measured using the DS18B20 temperature sensor and compared with an Avico digital thermometer which has an average error of 0.1%, indicating adequacy. The heart rate test results through the pulse sensor were compared with measurements obtained using measure heart rate correctly. Instant heart rate, which has an average error of 0.7%, hence, it can

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5

Yafis, Balqis, and Rahmat ;. "Designing Arduino-Based Sluice Control System With Self-Check Sensor Feature." JURNAL TIKA 6, no. 03 (December 10, 2021): 205–12. http://dx.doi.org/10.51179/tika.v6i03.661.

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The use of Arduino-Based floodgates aims to address the issue of flooding. The goal of this research was to create a system that could monitor water levels and control floodgatesUltrasonic sensor was used to measure water level, as the water level becomes the indicator to open and close the floodgates. The ultrasonic sensor is mounted on the dam and measures the distance between the water’s surface and the sensor transmitter. The results of the measurement of the water level are used to control the floodgates. Sensor measurement results are not always valid, given the age of the sensor and the terrain around the dam is quite challenging. The self-check sensor feature is introduced in this study as a way to overcome detection faults in the system, where ultrasonic sensors can perform self-monitoring by relying solely on their neighbours. In general, the process is carried out in four stages, starting from the stage of reading the sensor, the stage transmitting and receiving data from the Arduino, the stage of detecting sensor’s value, the stage of displaying the sensor values. At the stage of displaying the sensor value, there are four water level conditions, normal, waspada, siaga and bahaya. According to the test results, incorporating self-check sensors into the system enables for more efficient Arduino-based sluice control systems, as well as the possibility of detecting malfunctions caused by sensor damage

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6

Sun, Yan, and Ming Ma. "Designing a Soft Sensor with the Weighted Fuzzy Neural Network." Applied Mechanics and Materials 263-266 (December 2012): 472–75. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.472.

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Soft sensors are algorithms capable of estimate the process output that can not be measured directly in real time. A data-driven soft sensor is an inferential model developed from process observations. In this paper, the soft sensor modeling process based on the weighted fuzzy neural network was discussed. The proposed algorithm based on genetic algorithm and particle swarm optimization could obtain a near-optimal structure of fuzzy neural network, and the numerical experiments show that the soft sensor model has good performance.

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7

Zhao, Y. P., S. H. Li, S. B. Chaney, S. Shanmukh, J. G. Fan, R. A. Dluhy, and W. Kisaalita. "Designing nanostructures for sensor applications." Journal of Electronic Materials 35, no. 5 (May 2006): 846–51. http://dx.doi.org/10.1007/bf02692538.

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8

Patra, Chiranjib, Anjan Guha Roy, Samiran Chattopadhyay, and Parama Bhaumik. "Designing Energy-Efficient Topologies for Wireless Sensor Network: Neural Approach." International Journal of Distributed Sensor Networks 6, no. 1 (January 1, 2010): 216716. http://dx.doi.org/10.1155/2010/216716.

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Preserving energy or battery power of wireless sensor network is of major concern. As such type of network, the sensors are deployed in an ad hoc manner, without any deterministic way. This paper is concerned with applying standard routing protocols into wireless sensor network by using topology modified by neural network which proves to be energy efficient as compared with unmodified topology. Neural network has been proved to be a powerful tool in the distributed environment. Here, to capture the true distributed nature of the Wireless Sensor Network (WSN), neural network's Self-Organizing Feature Map (SOFM) is used.

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9

Braunfelds, Janis, Elvis Haritonovs, Ugis Senkans, Inna Kurbatska, Ints Murans, Jurgis Porins, and Sandis Spolitis. "Designing of Fiber Bragg Gratings for Long-Distance Optical Fiber Sensing Networks." Modelling and Simulation in Engineering 2022 (October 5, 2022): 1–14. http://dx.doi.org/10.1155/2022/8331485.

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Most optical sensors on the market are optical fiber Bragg grating (FBG) sensors with low reflectivity (typically 7-40%) and low side-lobe suppression (SLS) ratio (typically SLS <15 dB), which prevents these sensors from being effectively used for long-distance remote monitoring and sensor network solutions. This research is based on designing the optimal grating structure of FBG sensors and estimating their optimal apodization parameters necessary for sensor networks and long-distance monitoring solutions. Gaussian, sine, and raised sine apodizations are studied to achieve the main requirements, which are maximally high reflectivity (at least 90%) and side-lobe suppression (at least 20 dB), as well as maximally narrow bandwidth (FWHM<0.2 nm) and FBGs with uniform (without apodization). Results gathered in this research propose high-efficiency FBG grating apodizations, which can be further physically realized for optical sensor networks and long-distance (at least 40 km) monitoring solutions.

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10

Bima, Al, Sirojul Hadi, M. Najmul Fadli, Nurul Hidayah, and Lalu Danu Prima Arzani. "Designing a Honey Quality Tool Based on Gas Sensor and Color Sensor." International Journal of Engineering and Computer Science Applications (IJECSA) 1, no. 2 (September 30, 2022): 94–102. http://dx.doi.org/10.30812/ijecsa.v1i2.2407.

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Анотація:

Honey has many benefits. Thus, honey counterfeiting often occurs with the ever-increasing demand. However, many do not know how to distinguish between real and fake honey, even honey breeders and hunters find it difficult to tell the difference. The honey used to test the quality of honey is honey produced by Apis dorsata bees or wild bees, the nectar consumed by these bees is the kesambi tree, the kesambi tree that grows a lot on the slopes of Mount Tambora, Bima district. Honey contains a lot of antioxidants such as vitamin C, pinocembrin, chrysin, pinobaksin, catalase, and many other ingredients that are very beneficial for the health of the body. Testing the authenticity of honey using two sensors, namely a gas sensor and a color sensor, the tool has been connected to a database and web application to display test data. The web application can be accessed from any location as long as it is connected to the internet network. The results of the research are the ideal distance for measurements is carried out as far as 2 cm. The success rate in testing pure honey with a mixture of honey has different values, such as the value of pure honey has a gas sensor voltage of 3.3 volts while the value of mixed honey with 50% pure honey and 50% sugar, the value of the gas sensor voltage is 2.54 volts. Mixed honey has a voltage below 3 volts. The results of the color sensor test, namely the sensor output have different values, the RGB value for pure honey is red 206, green 246, and blue 182 while the RGB value for mixed honey is for 20% pure honey and 80% sugar mixture produces an RGB value of Red 156, Green 210, Blue 171. The color sensor can distinguish between real honey and mixed honey for trigona honey.

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11

Reinhardt, Andreas. "Designing sensor networks for smart spaces." ACM SIGMultimedia Records 3, no. 4 (December 2011): 8–9. http://dx.doi.org/10.1145/2132503.2132505.

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12

Hardy, Nigel, and Aftab Ahmad Maroof. "ViSIAr – A virtual sensor integration architecture." Robotica 17, no. 6 (November 1999): 635–47. http://dx.doi.org/10.1017/s0263574799001915.

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Анотація:

Virtual sensors (software abstractions to support programming of sensor use) have been shown to have software-engineering benefits. A sensor integration system is required to support them. We examine the general requirements of such systems and consider the important design requirements. An idealised architecture, ViSIAr, is proposed to serve as a framework for designing and constructing them. Illustrative examples are provided.

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13

Kolomeitsev, A. A., I. A. Zatonov, M. I. Pischanskaya, P. F. Baranov, D. P. Ilyaschenko, and E. V. Verkhoturova. "Designing a Planar Fluxgate Using the PCB Technology." Devices and Methods of Measurements 12, no. 2 (June 25, 2021): 117–23. http://dx.doi.org/10.21122/2220-9506-2021-12-2-117-123.

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The development of novel methods, scientific devices and means for measuring magnetic fields generated by ultra-low current is among promising directions in the development of medical equipment and instruments for geodetic surveys and space exploration. The present work is to develop a small sensor capable of detecting weak magnetic fields, which sources are biocurrents, radiation of far space objects and slight fluctuations of the geomagnetic field. Scientists estimate the strength of such magnetic fields as deciles of nanotesla. The key requirements for the sensors of ultra-low magnetic field are: resolution, noise level in the measurement channel, temperature stability, linearity and repeatability of the characteristics from one produced item to another. The aforementioned characteristics can be achieved by using planar technologies and microelectromechanical systems (MEMS) in such advanced sensors.The work describes a complete R&D cycle, from creating the computer model of the sensor under study to manufacturing of a working prototype. To assess the effect of the geometry and material properties, the Jiles–Atherton model is implemented which, unlike the majority of the models used, allows considering the non-linearity of the core, its hysteresis properties and influence of residual magnetization.The dimensions of the developed sensor are 40×20×5 mm, while the technology allows its further diminishment. The sensor has demonstrated the linearity of its properties in the range of magnetic field strength from 0.1 nT to 50 µT for a rms current of excitation of 1.25 mA at a frequency of 30 kHz. The average sensitivity for the second harmonic is 54 µV/nT.

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14

Wang, Gai Fang, Feng Feng Fan, Xi Tao Xing, and Yong Wang. "Design and Implementation of Digital Sensor Simulator." Applied Mechanics and Materials 411-414 (September 2013): 1581–87. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.1581.

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With the rapid development of sensor technology recently, sensors have been applied to various fields for detecting object states, e.g. intelligent agriculture, intelligent power, intelligent city, the Internet of Things, etc., and have becoming more and more critical for dynamic data acquisition. Due to detection environment, detection technology, costs and other factors, access to actual sensors for developing or debugging a sensor application may cause additional costs and time. Meanwhile, testing new sensor applications and protocols needs appropriate feasible ways with low costs and short time. Therefore, it is fairly urgent for designing and developing a simulation environment of sensors and sensor applications. This paper parsed the general structure of digital sensors, and then designed domain-based high level architecture of digital sensor simulator. Finally, the prototype of digital sensor simulator was developed and demonstrated the proper performance. Results show that digital sensor simulator would provide an effective way for testing novel sensors and protocols and also play an important role for constituting sensor network simulation environment.

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15

Wu, Guang Hua, Feng Liu, Jun Xing Li, and Wei Wang. "Environmental Monitoring System Designing: A Internet of Things Approach." Applied Mechanics and Materials 644-650 (September 2014): 3342–45. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.3342.

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The key propose of this paper is to design a IoT(Internet of Thing) based farm environmental monitoring system and to realize the automate management of agriculture and the implementation of precision production. The system consists of three layers which are sensor layer, transmission layer and application layer, respectively. The modular structure is adopted to develop coordinator node and router node which have flexible structures and strong versatility, the node connects with sensors through standard analog interface, on the basis of which, high reliability, flexible Wireless Sensor Network (WSN) is built, the WSN can perceive environment information for greenhouse tomato growth in a real time way and transmit the data to the remote server management system reliably. Field experiments show that WSN is stable, reliable and provides basis for the scientific management of farm.

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16

Mușuroi, Cristian, Marius Volmer, Mihai Oproiu, Jenica Neamtu, and Elena Helerea. "Designing a Spintronic Based Magnetoresistive Bridge Sensor for Current Measurement and Low Field Sensing." Electronics 11, no. 23 (November 24, 2022): 3888. http://dx.doi.org/10.3390/electronics11233888.

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An exchanged-biased anisotropic magnetoresistance bridge sensor for low currents measurement is designed and implemented. The sensor has a simple construction (single mask) and is based on results from micromagnetic simulations. For increasing the sensitivity of the sensor, the magnetic field generated by the measurement current passing through the printed circuit board trace is determined through an analytical method and, for comparative analysis, finite elements method simulations are used. The sensor performance is experimentally tested with a demonstrator chip. Four case studies are considered in the analytical method: neglecting the thickness of the trace, dividing the thickness of the trace in several layers, and assuming a finite or very long conductive trace. Additionally, the influence of several adjacent traces in the sensor area is evaluated. The study shows that the analytical design method can be used for optimizing the geometric selectivity of a non-contacting magnetoresistive bridge sensor setup in single trace, differential, and multi-trace (planar coil) configurations. Further, the results can be applied for developing highly performant magnetoresistance sensors and optimizations for low field detection, small dimensions, and low costs.

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17

Hwang, Sungkun, Recep M. Gorguluarslan, Hae-Jin Choi, and Seung-Kyum Choi. "Integration of Dimension Reduction and Uncertainty Quantification in Designing Stretchable Strain Gauge Sensor." Applied Sciences 10, no. 2 (January 16, 2020): 643. http://dx.doi.org/10.3390/app10020643.

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Interests in strain gauge sensors employing stretchable patch antenna have escalated in the area of structural health monitoring, because the malleable sensor is sensitive to capturing strain variation in any shape of structure. However, owing to the narrow frequency bandwidth of the patch antenna, the operation quality of the strain sensor is not often assured under structural deformation, which creates unpredictable frequency shifts. Geometric properties of the stretchable antenna also severely regulate the performance of the sensor. Especially rugged substrate created by printing procedure and manual fabrication derives multivariate design variables. Such design variables intensify the computational burden and uncertainties that impede reliable analysis of the strain sensor. In this research, therefore, a framework is proposed not only to comprehensively capture the sensor’s geometric design variables, but also to effectively reduce the multivariate dimensions. The geometric uncertainties are characterized based on the measurements from real specimens and a Gaussian copula is used to represent them with the correlations. A dimension reduction process with a clear decision criterion by entropy-based correlation coefficient dwindles uncertainties that inhibit precise system reliability assessment. After handling the uncertainties, an artificial neural network-based surrogate model predicts the system responses, and a probabilistic neural network derives a precise estimation of the variability of complicated system behavior. To elicit better performance of the stretchable antenna-based strain sensor, a shape optimization process is then executed by developing an optimal design of the strain sensor, which can resolve the issue of the frequency shift in the narrow bandwidth. Compared with the conventional rigid antenna-based strain sensors, the proposed design brings flexible shape adjustment that enables the resonance frequency to be maintained in reliable frequency bandwidth and antenna performance to be maximized under deformation. Hence, the efficacy of the proposed design framework that employs uncertainty characterization, dimension reduction, and machine learning-based behavior prediction is epitomized by the stretchable antenna-based strain sensor.

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18

Saputri, Fahmy Rinanda, and Vanessa Lee. "Web-based Environment Monitoring System." G-Tech: Jurnal Teknologi Terapan 7, no. 3 (June 24, 2023): 807–15. http://dx.doi.org/10.33379/gtech.v7i3.2498.

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Green building is the concept of designing, building, operating, and maintaining buildings that pay attention to the use of natural resources, indoor air quality, and the health of the occupants. This green building is the choice in responding to the issue of limited non-renewable energy. To monitor the environmental conditions of green buildings, a sensor system is needed to maintain environmental conditions according to standards. This study aims to design a sensor system to monitor environmental conditions in Universitas Multimedia Nusantara. A real-time monitoring system is needed to maintain the green building environment's condition. The results of the study succeeded in designing a real-time monitoring system for green building environmental sensors, especially web-based classrooms using the NodeMCU ESP8266, DHT22 Sensor, and LDR Sensor. The difference in readings between the monitoring sensor system and the environment meter for lighting levels, temperature, and humidity respectively is 0.67 lux, 0.9°C, and 5.8%RH.

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19

Karim, Mohammad Farid Abd, Marlia Morsin, Suratun Nafisah, Norhayati Abu Bakar, and Munirah Ab Rahman. "Designing of 3D Sensor Chamber for Plasmonic-based Toxic Sensor Detection." International Journal of Engineering & Technology 7, no. 4.30 (November 30, 2018): 194. http://dx.doi.org/10.14419/ijet.v7i4.30.22119.

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Plasmonic sensor implementing an optical phenomenon called Localized Surface Plasmon Resonance (LSPR) resulting from the interaction of free electron with electromagnetic field of light at the metal nanoparticles surface. In this study, the plasmonic sensor has been developed for toxic detection in solution form. This system consists of five components which are the light source, duplex fiber optic, sensor chamber, spectrometer and computer. The sensor chamber has been specially designed using SolidWork software and printed using 3D printer with polylactic acid (PLA) material. The sensing activity was done in the sensor chamber with a sliding drawer which is used to place the sensing material or sample. OceanView software was used to analyze the recorded spectrum from the spectrometer. For this project, the experiment of the plasmonic sensor was carried out using targeted analyte namely chlorpyrifos with deionized (DI) water was set as a reference medium. Gold nanoparticles with nanospheres shape used as sensing materials. The sensing parameters are based on changing its intensity and resonance peak position. This plasmonic sensor was compared with UV-VIS spectrometer data to make sure it standardize and function correctly. Besides, the sensing process toward different concentrations of chlorpyrifos from 7.15 mM to 28.60 mM have been done. As a conclusion, the plasmonic sensor was successfully developed for toxic detection in solution form.

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20

Liao Zhibo, 廖志波, 伏瑞敏 Fu Ruimin, and 宗肖颖 Zong Xiaoying. "Optimal Designing of Baffle of Star Sensor." Chinese Journal of Lasers 37, no. 4 (2010): 987–90. http://dx.doi.org/10.3788/cjl20103704.0987.

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21

Panic, Goran, and Milos Krstic. "Designing a Power Efficient Sensor Node Microcontroller." IFAC-PapersOnLine 55, no. 4 (2022): 298–303. http://dx.doi.org/10.1016/j.ifacol.2022.06.049.

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22

Boudour, Ghalem, Aubin Lecointre, Pascal Berthou, Daniela Dragomirecu, and Thierry Gayraud. "On designing sensor networks with smart antennas." IFAC Proceedings Volumes 40, no. 22 (2007): 349–56. http://dx.doi.org/10.3182/20071107-3-fr-3907.00049.

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23

J.Albarakati, Aiman. "Low Power Wireless Sensor Networks Designing Aspects." Communications on Applied Electronics 2, no. 2 (June 25, 2015): 43–48. http://dx.doi.org/10.5120/cae-1683.

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24

Huang, Wen-liang, Shi-jian Li, and Duo Liu. "Designing reduced beacon trajectory for sensor localization." Journal of Zhejiang University-SCIENCE A 8, no. 12 (November 2007): 1971–82. http://dx.doi.org/10.1631/jzus.2007.a1971.

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25

Ohuchi, Satoshi, and Hiroyuki Aizawa. "Angular velocity sensor and its designing method." Journal of the Acoustical Society of America 125, no. 2 (2009): 1262. http://dx.doi.org/10.1121/1.3081337.

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26

Hao, Rui Can, Hua Gang Liu, Wen Gong, and Jin Ru Ma. "Analysis on Measuring Circuit of Pressure Difference Sensor with Magnetic Fluid." Advanced Materials Research 1035 (October 2014): 381–84. http://dx.doi.org/10.4028/www.scientific.net/amr.1035.381.

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Анотація:

Due to many sensing properties, magnetic fluid is used in a novel application--sensor. The measuring circuit is an important part for a sensor. Designing and calculation of the measuring circuit for pressure difference sensor with magnetic fluid were done. The power frequency and the input voltage are the two important factors for the measuring circuit. By experiments and calculations, the power frequency range is 20-70kHz and the input voltage for the circuit is 8V. The measuring circuit for inductive sensors was selected and calculated by analyzing measuring circuit for sensor.

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27

Arney, Susanne. "Designing for MEMS Reliability." MRS Bulletin 26, no. 4 (April 2001): 296–99. http://dx.doi.org/10.1557/mrs2001.63.

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Анотація:

Microelectromechanical systems (MEMS) devices are being manufactured in the hundreds of millions and are widely deployed for pressure sensor, accelerometer, display, and printing applications. This suggests customer confidence in the longterm reliability of MEMS (also known as microsystems or micromachines) under diverse stringent conditions.

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28

Yang, Jing Jing, Ming Huang, Hao Tang, Jia Zeng, and Ling Dong. "Metamaterial Sensors." International Journal of Antennas and Propagation 2013 (2013): 1–16. http://dx.doi.org/10.1155/2013/637270.

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Metamaterials have attracted a great deal of attention due to their intriguing properties, as well as the large potential applications for designing functional devices. In this paper, we review the current status of metamaterial sensors, with an emphasis on the evanescent wave amplification and the accompanying local field enhancement characteristics. Examples of the sensors are given to illustrate the principle and the performance of the metamaterial sensor. The paper concludes with an optimistic outlook regarding the future of metamaterial sensor.

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29

Semenov, Vladimir, Sergey Makov, Yurij Hanzhonkov, and Yurij Astsaturov. "Electro-optical dust sensors calibration by aerosol image analysis." E3S Web of Conferences 104 (2019): 02007. http://dx.doi.org/10.1051/e3sconf/201910402007.

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The paper describes the process of data obtaining for designing electro-optical sensors using a television aerosol particles image analyzer. Using simulation based on Mie theory, the process of calibration of simple electro-optical aerosol (dust) sensor is carried out. In the paper the main dependences for sensor calibration are shown. The proper calibration allows power saving by selection certain laser beam power level.

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30

Berger, Arne, Albrecht Kurze, Sören Totzauer, Michael Storz, Kevin Lefeuvre, Andreas Bischof, and Mira Freiermuth. "Sensing Home: Designing an Open Tool That Lets People Collect and Interpret Simple Sensor Data from Their Homes." i-com 17, no. 2 (August 28, 2018): 153–67. http://dx.doi.org/10.1515/icom-2018-0013.

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AbstractThe Internet of Things in the home is a design space with huge potential. With sensors getting smaller and cheaper, smart sensor equipped objects will become an integral, preinstalled part of the future home. With this article we will reflect on Sensing Home, a design tool to explore sensors in the home together with people. Sensing Home allows people to integrate sensors and connectivity into mundane domestic products in order to make them smart. As such, it can be used by people to experience and explore sensors in the home and daily life. They may explore possible use cases, appropriate sensor technology, and learn about this technology through use. At the same time people may also be empowered to understand the issues and implications of sensors in the home. We present the design rationale of Sensing Home, five usage examples of how Sensing Home allowed people to explore sensor technology, and the deployment of Sensing Home together with a self-developed group discussion method to empower people to understand the benefits and pitfalls of sensors in their home. The article ends with a brief reflection whether Sensing Home is a probe or a toolkit.

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31

Avital, Michel, Samir Chatterjee, and Szymon Furtak. "Sensing the Future: A Design Framework for Context-Aware Predictive Systems." Journal of the Association for Information Systems 24, no. 4 (2023): 1031–51. http://dx.doi.org/10.17705/1jais.00821.

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Sensors embedded in smart objects, smart machines, and smart buildings produce ever-growing streams of contextual data that convey information of interest about their operating environment. Although an increasing number of industries have embraced the utilization of sensors in routine operations, no clear framework is available to guide designers who aim to leverage contextual data collected from these sensors to develop predictive systems. In this paper, we applied design science research methodology to develop and evaluate a general framework that can help designers build predictive systems utilizing sensor data. Specifically, we developed a framework for designing context-aware predictive systems (CAPS). We then evaluated the framework through its application in MAN Diesel & Turbo, which served as a case company. The framework can be generalized into a class of demand-forecasting problems that rely on sensor-generated contextual data. The CAPS framework is unique and can help practitioners make better-informed decisions when designing context-aware predictive systems.

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32

Veeramuthu, Loganathan, Manikandan Venkatesan, Fang-Cheng Liang, Jean-Sebastien Benas, Chia-Jung Cho, Chin-Wen Chen, Ye Zhou, Rong-Ho Lee, and Chi-Ching Kuo. "Conjugated Copolymers through Electrospinning Synthetic Strategies and Their Versatile Applications in Sensing Environmental Toxicants, pH, Temperature, and Humidity." Polymers 12, no. 3 (March 5, 2020): 587. http://dx.doi.org/10.3390/polym12030587.

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Conjugated copolymers (CCPs) are a class of polymers with excellent optical luminescent and electrical conducting properties because of their extensive π conjugation. CCPs have several advantages such as facile synthesis, structural tailorability, processability, and ease of device fabrication by compatible solvents. Electrospinning (ES) is a versatile technique that produces continuous high throughput nanofibers or microfibers and its appropriate synchronization with CCPs can aid in harvesting an ideal sensory nanofiber. The ES-based nanofibrous membrane enables sensors to accomplish ultrahigh sensitivity and response time with the aid of a greater surface-to-volume ratio. This review covers the crucial aspects of designing highly responsive optical sensors that includes synthetic strategies, sensor fabrication, mechanistic aspects, sensing modes, and recent sensing trends in monitoring environmental toxicants, pH, temperature, and humidity. In particular, considerable attention is being paid on classifying the ES-based optical sensor fabrication to overcome remaining challenges such as sensitivity, selectivity, dye leaching, instability, and reversibility.

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33

Angga Juliantara, Putu, I. Wayan Arta Wijaya, and Cok Gede Indra Partha. "Rancang Bangun Kapasitor Bank Otomatis Berbasis Mikrokontroler ATmega 328P Untuk Perbaikan Faktor Daya." Jurnal SPEKTRUM 5, no. 1 (June 25, 2018): 157. http://dx.doi.org/10.24843/spektrum.2018.v05.i01.p23.

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Inductive load with low power factor has led to the greater load current so that it is required a power factor improvement. Improvement of power factor in inductive load can be carried out by installing capacitor according to required proportion. Installation of capacitors can be used in parallel or series to electric source.The method of making design is divided into two parts, namely, the first is the designing of hardware and the second is the designing of the software. The designing of hardware consists of designing the power supply circuit, driver relay circuit, LCD circuit, minimum system circuit of ATmega 328P, capacitor bank circuit, current sensor circuit and voltage sensor circuit. The sensors used in this study were a non-invasive type SCT013-010 current sensor and a voltage sensor of a 500 mA type zero transformer. The design of software was in the form of work program tools that use the application of Arduino IDE. LCD displays the readout values of voltage, load current, active power, apparent power, reactive power and power factor. The ATmega 328P microcontroller processes data and determines the working relay so that the purpose of power factor value by cos phi ? 0.85 is achieved. The results achieved in this research is the design of automatic bank capacitor based on microcontroller of ATmega 328P can improve power factor by conducting injection capacitor to raise the power factor value according to PLN standard by cos phi ? 0.85 by connecting capacitor to the source of PLN paralleled by a single phase inductive load.

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Wöhrl, Thomas, Julia Herrmann, Jaroslaw Kita, Ralf Moos, and Gunter Hagen. "Methods to investigate the temperature distribution of heated ceramic gas sensors for high-temperature applications." Journal of Sensors and Sensor Systems 12, no. 2 (July 13, 2023): 205–14. http://dx.doi.org/10.5194/jsss-12-205-2023.

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Abstract. The temperature-dependent properties of sensor films for measuring the concentration of various gas components affect, to a large extent, the sensor characteristics of planar gas sensors. Therefore, it is important to know the temperature distribution of the gas-sensitive films of such sensors precisely. Using screen-printed thermocouples and a thermal-imaging camera, two principles for determining the temperature profile of gas sensors inside of a protection cap are shown and compared in this study. The data agree well, and the results can be used in future to determine the influences of varying flow and temperature conditions on the temperature profile of a sensor and to reduce such effects by adapting the periphery, e.g., by designing appropriate protection caps.

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Thamrin, Thamrin, Delsina Faiza, and Ilmiyati Rahmy Jasril. "RANCANG BANGUN ALAT PENGADUK BUBUR OTOMATIS MENGGUNAKAN SENSOR SUHU BERBASIS ARDUINO UNO." Jurnal Teknologi Informasi dan Pendidikan 10, no. 3 (October 3, 2017): 87–100. http://dx.doi.org/10.24036/tip.v10i3.23.

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The aim of this research is to design and make stirring tool of corn grits with rotation speed of stirring based on temperature rise level detected by temperature sensor. Arduino Uno as reader of input data from temperature sensor and set output in the form of motor rotation stirrer, LCD display and buzzer. The benefits of this research in the field of application of electronics sensors in food processing, especially the effective and efficient corn grits processing. Both in terms of time, cost, energy and safety. Keywords: Designing, Stirring, Corn Grits, Arduino Uno, Sensor

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36

Okasha, Abdelaziz M., Hasnaa G. Ibrahim, Adel H. Elmetwalli, Khaled Mohamed Khedher, Zaher Mundher Yaseen, and Salah Elsayed. "Designing Low-Cost Capacitive-Based Soil Moisture Sensor and Smart Monitoring Unit Operated by Solar Cells for Greenhouse Irrigation Management." Sensors 21, no. 16 (August 9, 2021): 5387. http://dx.doi.org/10.3390/s21165387.

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Precise and quick estimates of soil moisture content for the purpose of irrigation scheduling are fundamentally important. They can be accomplished through the continuous monitoring of moisture content in the root zone area, which can be accomplished through automatic soil moisture sensors. Commercial soil moisture sensors are still expensive to be used by famers, particularly in developing countries, such as Egypt. This research aimed to design and calibrate a locally manufactured low-cost soil moisture sensor attached to a smart monitoring unit operated by Solar Photo Voltaic Cells (SPVC). The designed sensor was evaluated on clay textured soils in both lab and controlled greenhouse environments. The calibration results demonstrated a strong correlation between sensor readings and soil volumetric water content (θV). Higher soil moisture content was associated with decreased sensor output voltage with an average determination coefficient (R2) of 0.967 and a root-mean-square error (RMSE) of 0.014. A sensor-to-sensor variability test was performed yielding a 0.045 coefficient of variation. The results obtained from the real conditions demonstrated that the monitoring system for real-time sensing of soil moisture and environmental conditions inside the greenhouse could be a robust, accurate, and cost-effective tool for irrigation management.

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Liu, Jun Li, Chun Juan Xu, and Li Feng Wang. "An Intrinsically Safe Study on Accuracy Wireless Vibration Sensor." Advanced Materials Research 1027 (October 2014): 290–93. http://dx.doi.org/10.4028/www.scientific.net/amr.1027.290.

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In order to solve the problem of shearer automation for the automated mining, analysis and processing by a plurality of sensors or observation information sources is the most promising solution to automatically control the shearer’s posture, while there is no vibration sensors with intrinsically safety that can be directly equipped on the shearers under coal mines. In the paper, study on a new intrinsic safe mode vibration sensor to solve the problem, it includes the hardware system designing and data collection programming. At the end, an experiment proves that the intrinsic safe wireless vibration sensor is able to collection the three-dimensional vibration data reliably and in time compared with the other vibration sensors.

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38

Mane, Supriya A., Digambar Y. Nadargi, Jyoti D. Nadargi, Omar M. Aldossary, Mohaseen S. Tamboli, and Vinayak P. Dhulap. "Design, Development and Validation of a Portable Gas Sensor Module: A Facile Approach for Monitoring Greenhouse Gases." Coatings 10, no. 12 (November 25, 2020): 1148. http://dx.doi.org/10.3390/coatings10121148.

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We report the unique design and prototype of a portable gas sensor module for monitoring greenhouse gases. The commercially available gas sensors (MQ-02, MQ-135, and TGS2602) were adopted in designing the module using Arduino Uno. Different locations in the city of Solapur, India (17.6599° N, 75.9064° E), were scanned for the usability of the developed prototype of the mobile gas sensor module. The choice of gas sensors in combination with Arduino Uno led to an excellent prototype for measuring the concentration of greenhouse gases, and therefore the wrong alarm for toxic gases. The prototype model and corresponding greenhouse gas concentrations (ppm) are described using an interplay of sensor design, software program, and greenhouse gases sites.

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39

Rieger, L., J. Alex, S. Winkler, M. Boehler, M. Thomann, and H. Siegrist. "Progress in sensor technology - progress in process control? Part I: Sensor property investigation and classification." Water Science and Technology 47, no. 2 (January 1, 2003): 103–12. http://dx.doi.org/10.2166/wst.2003.0096.

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To ensure correctly operating control systems, the measurement and control equipment in WWTPs must be mutually consistent. The dynamic simulation of activated sludge systems could offer a suitable tool for designing and optimising control strategies. Ideal or simplified sensor models represent a limiting factor for comparability with field applications. More realistic sensor models are therefore required. Two groups of sensor models are proposed on the basis of field and laboratory tests: one for specific sensors and another for a classification of sensor types to be used with the COST simulation benchmark environment. This should lead to a more realistic test environment and allow control engineers to define the requirements of the measuring equipment as a function of the selected control strategy.

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40

Węglarski, Mariusz, and Piotr Jankowski-Mihułowicz. "Factors Affecting the Synthesis of Autonomous Sensors with RFID Interface." Sensors 19, no. 20 (October 11, 2019): 4392. http://dx.doi.org/10.3390/s19204392.

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A general view on the problem of designing atypical battery-free, autonomous semi-passive RFID transponders-sensors (autonomous sensors with RFID interfaces) is presented in this review. Although RFID devices can be created in any of the electronic technologies, the design stage must be repeated each time when the manufacturing processes are changed, and their specific conditions have to be taken into consideration when modeling new solutions. Aspects related to the factors affecting the synthesis of semi-passive RFID transponder components on the basis of which the idea of the autonomous RFID sensor was developed are reflected in the paper. Besides their general characteristics, the operation conditions of modern RFID systems and achievements in autonomous RFID sensor technology are revealed in subsequent sections—they include such issues as technological aspects of the synthesis process, designing antennas for RFID transponders, determining RFID chip and antenna parameters, creating the interrogation zone IZ, etc. It should be pointed that the universal construction of an autonomous RFID sensor, which could be use in any application of the automatic object identification system, cannot be developed according to the current state of the art. Moreover, a trial and error method is the most commonly used in the today’s process of designing new solutions, and the basic parameters are estimated on the basis of the tests and the research team experience. Therefore, it is necessary to look for new inventions and methods in order to improve implementations of RFID systems.

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Ma, Tingting, Hao Huang, Wenfei Guo, Chuanxiang Zhang, Zhu Chen, Song Li, Liang Ma, and Yan Deng. "Recent Progress in Black Phosphorus Sensors." Journal of Biomedical Nanotechnology 16, no. 7 (July 1, 2020): 1045–64. http://dx.doi.org/10.1166/jbn.2020.2963.

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Black phosphorus (BP) is a new two-dimensional material with many unique properties, such as great biocompatibility, excellent surface activity, high carrier mobility, and tunable bandgap. Black phosphorus has been particularly attractive in sensor. However, black phosphorus isolated by traditional methods is easily oxidized and degraded by air, with poor stability, which limits its application as sensors. The modification and functionalization of black phosphorus enhance the stability, sensitivity, selectivity and biocompatibility of its application in sensor. This review describes recent progresses in sensor based on black phosphorus (2016–2020). Firstly, the structure and properties, synthesis methods, modification and functionalization of black phosphorus are briefly described. Then, the advancements in designing of various sensors based on black phosphorus are systematically provided, with a specific focus on electrochemical sensors, electrochemiluminescence sensors and photoelectrochemical sensors. Finally, latest challenges and further opportunities for developing new sensors with black phosphorus nanomaterial are discussed.

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42

Saha, Sunita. "Designing Factors Affecting the Performance and Lifetime of Wireless Sensor Network." Asian Journal of Computer Science and Technology 7, no. 3 (November 5, 2018): 44–47. http://dx.doi.org/10.51983/ajcst-2018.7.3.1900.

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Performance and lifetime of a Wireless Sensor Network (WSN) are the evaluation parameters of a network that how well and how long a network is doing well. A network can start giving wrong information at any time during the whole lifespan of the network and it might stop working as well. The performance of a network can be evaluated and improved up to a level of satisfaction with the improvement of network parameters and the components used in designing the network. There are a handful of works that address the major tradeoffs, coverage, and connectivity in designing of WSN. Also, an efficient decision of locating the sensors in WSN can lead to obtaining the required degree of network performance. There are hundreds of research, demanding various deployment methods and optimization goal in various environments. This article aims at the investigation of those designing factors which can affect the performance and lifetime of a WSN at the same time improving those designing issues can produce a guaranteed degree of throughput.

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43

Sabr, Qays Jebur. "Design of Multi-Rate Multi-Zone Wireless Fuzzy Temperature Control System for Greenhouse Application." Journal of Engineering 26, no. 7 (July 1, 2020): 97–114. http://dx.doi.org/10.31026/j.eng.2020.07.07.

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sensor sampling rate (SSR) may be an effective and crucial field in networked control systems. Changing sensor sampling period after designing the networked control system is a critical matter for the stability of the system. In this article, a wireless networked control system with multi-rate sensor sampling is proposed to control the temperature of a multi-zone greenhouse. Here, a behavior based Mamdany fuzzy system is used in three approaches, first is to design the fuzzy temperature controller, second is to design a fuzzy gain selector and third is to design a fuzzy error handler. The main approach of the control system design is to control the input gain of the fuzzy temperature controller depending on the current zone and current sensor rate for each zone. Due to the low input gain of the fuzzy controller, the steady state output error of the greenhouse temperature is in the range (0.55 – 11.22) % when the system using five sensors of different sampling rates and in the range (2.43 - 16.74) % when the system using five sensors with the same sampling rates. Next, after designing the fuzzy error handler, this error doesn’t exceed 1.6%, but in most cases it is less than 0.15%.The work is Simulink designed and implemented using Matlab R2012b. The Zigbee wireless network is proposed for the system, it is implemented in Matlab using True time 2.0 library.

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44

Likith, G., Naidu Dhanpal Jayram, B. Yaswanth, D. Sreekanth, J. Deny, M. Karuthapandi, and S. V. Vishwa. "Designing of low-cost spectrometer for sensor application." Journal of Optics 50, no. 3 (May 30, 2021): 489–94. http://dx.doi.org/10.1007/s12596-021-00707-w.

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45

Yang Yu, B. Krishnamachari, and V. K. Prasonna. "Issues in designing middleware for wireless sensor networks." IEEE Network 18, no. 1 (January 2004): 15–21. http://dx.doi.org/10.1109/mnet.2004.1265829.

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46

Almasi, Mohammad. "Designing a non-contact sensor for capturing pacemaker." International Journal of Computer Trends and Technology 68, no. 7 (July 25, 2020): 43–48. http://dx.doi.org/10.14445/22312803/ijctt-v68i7p107.

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47

Nath, G. "Designing and testing a laser-based vibratory sensor." Laser Physics 28, no. 4 (March 2, 2018): 046001. http://dx.doi.org/10.1088/1555-6611/aaa93b.

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48

Bari, Ataul, Ying Chen, Debashis Roy, Arunita Jaekel, and Subir Bandyopadhyay. "Designing hierarchical sensor networks with mobile data collectors." Pervasive and Mobile Computing 7, no. 1 (February 2011): 128–39. http://dx.doi.org/10.1016/j.pmcj.2010.07.007.

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49

Kickhofel, John, Jiaming Yang, and Horst-Michael Prasser. "Designing a high temperature high pressure mesh sensor." Nuclear Engineering and Design 336 (September 2018): 122–28. http://dx.doi.org/10.1016/j.nucengdes.2017.07.020.

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50

Jeon, Gwang Gil. "Designing and Performance Assessment for Sensor Color Interpolation." Advanced Materials Research 705 (June 2013): 307–12. http://dx.doi.org/10.4028/www.scientific.net/amr.705.307.

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This paper addresses the problem of color restoration on Lukac color filter array (CFA) pattern [. Digital camera acquires the continuous color spectrum using three filters. However, each pixel indicates only a sample out of three channels. This order is called a mosaicking and the opposite process is called demosaicking. This article designs filters for Lukac CFA, and apply it to generate demosaicked images. The objective (CPSNR and S-CIELAB) and visual quality comparison are provided in simulation results section.

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