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Artículos de revistas sobre el tema "Sensors selection"

Autor: Grafiati

Publicado: 25 de mayo de 2024

Última modificación: 31 de julio de 2025

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1

Wijaya, Tomi, Wahyu Caesarendra, Tegoeh Tjahjowidodo, Bobby K. Pappachan, Arthur Wee, and Muhammad Izzat Roslan. "A Review on Sensors for Real-time Monitoring and Control Systems on Machining and Surface Finishing Processes." MATEC Web of Conferences 159 (2018): 02034. http://dx.doi.org/10.1051/matecconf/201815902034.

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One of the key components in real-time monitoring and control on machining and surface finishing processes are sensors. The advances of such system have triggered interesting questions on sensor selection that act as the fundamental before starting a project. This paper is made to review and answer the questions surrounding sensor selection. The paper first explains on the type of sensors commonly used in practice for real-time monitoring and control systems. After which, the paper discusses on how often the sensors are used on several machining and surface finishing processes and what are the

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2

Juboor, Saed Sa’deh, Sook-Ling Chua, and Lee Kien Foo. "Informative sensor selection on clustered sensors." Journal of Physics: Conference Series 1192 (March 2019): 012057. http://dx.doi.org/10.1088/1742-6596/1192/1/012057.

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3

Wentao, Shi, Chen Dong, Zhou Lin, Bai Ke, and Jin Yong. "Sensor Selection Scheme considering Uncertainty Disturbance." Journal of Sensors 2022 (February 16, 2022): 1–11. http://dx.doi.org/10.1155/2022/2488907.

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In multisensor cooperative detection network, some random disturbances, energy carried by sensor, distance between target and sensor node, and so on all affect the sensor selection scheme. To effectively select some sensors for detecting the target, a novel sensor selection method considering uncertainty disturbance is proposed under constraints of estimation accuracy and energy consumption. Firstly, the sensor selection problem is modeled as a binary form optimization problem with a penalty term to minimize the number of sensors. Secondly, some factors (precision, energy, and distance, etc.)

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4

Reeves, J., R. Remenyte-Prescott, and J. Andrews. "Sensor selection for fault diagnostics using performance metric." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 233, no. 4 (2018): 537–52. http://dx.doi.org/10.1177/1748006x18804690.

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As technology advances, modern systems are becoming increasingly complex, consisting of large numbers of components, and therefore large numbers of potential component failures. These component failures can result in reduced system performance, or even system failure. The system performance can be monitored using sensors, which can help to detect faults and diagnose failures present in the system. However, sensors increase the weight and cost of the system, and therefore, the number of sensors may be limited, and only the sensors that provide the most useful system information should be select

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5

Abbas, Jabbar, Amin Al-Habaibeh, and Dai Zhong Su. "Sensor Fusion for Condition Monitoring System of End Milling Operations." Key Engineering Materials 450 (November 2010): 267–70. http://dx.doi.org/10.4028/www.scientific.net/kem.450.267.

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This paper describes the utilisation of multi sensor fusion model using force, vibration, acoustic emission, strain and sound sensors for monitoring tool wear in end milling operations. The paper applies the ASPS approach (Automated Sensor and Signal Processing Selection) method for signal processing and sensor selection [1]. The sensory signals were processed using different signal processing methods to create a wide range of Sensory Characteristic Features (SCFs). The sensitivity of these SCFs to tool wear is investigated. The results indicate that the sensor fusion system is capable of dete

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6

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

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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

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7

Mehmood, Zahid, Ibraheem Haneef, and Florin Udrea. "Material selection for optimum design of MEMS pressure sensors." Microsystem Technologies 26, no. 9 (2019): 2751–66. http://dx.doi.org/10.1007/s00542-019-04601-1.

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Abstract Choice of the most suitable material out of the universe of engineering materials available to the designers is a complex task. It often requires a compromise, involving conflicts between different design objectives. Materials selection for optimum design of a Micro-Electro-Mechanical-Systems (MEMS) pressure sensor is one such case. For optimum performance, simultaneous maximization of deflection of a MEMS pressure sensor diaphragm and maximization of its resonance frequency are two key but totally conflicting requirements. Another limitation in material selection of MEMS/Microsystems

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8

Chodorek, Agnieszka, Robert Ryszard Chodorek, and Paweł Sitek. "Response Time and Intrinsic Information Quality as Criteria for the Selection of Low-Cost Sensors for Use in Mobile Weather Stations." Electronics 11, no. 15 (2022): 2448. http://dx.doi.org/10.3390/electronics11152448.

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Smart-city management systems use information about the environment, including the current values of weather factors. The specificity of the urban sites requires a high density of weather measurement points, which forces the use of low-cost sensors. A typical problem of devices using low-cost sensors is the lack of legalization of the sensors and the resulting inaccuracy and uncertainty of measurement, which one can attempt to solve by additional sensor calibration. In this paper, we propose a different approach to this problem, i.e., the two-stage selection of sensors, carried out on the basi

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9

Su, Shen, Yanbin Sun, Xiangsong Gao, Jing Qiu, and Zhihong Tian. "A Correlation-Change Based Feature Selection Method for IoT Equipment Anomaly Detection." Applied Sciences 9, no. 3 (2019): 437. http://dx.doi.org/10.3390/app9030437.

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Selecting the right features for further data analysis is important in the process of equipment anomaly detection, especially when the origin data source involves high dimensional data with a low value density. However, existing researches failed to capture the fact that the sensor data are usually correlated (e.g., duplicated deployed sensors), and the correlations would be broken when anomalies occur with happen to the monitored equipment. In this paper, we propose to capture such sensor data correlation changes to improve the performance of IoT (Internet of Things) equipment anomaly detecti

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10

Guan, Fei, Wei-Wei Cui, Lian-Feng Li, and Jie Wu. "A Comprehensive Evaluation Method of Sensor Selection for PHM Based on Grey Clustering." Sensors 20, no. 6 (2020): 1710. http://dx.doi.org/10.3390/s20061710.

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Sensor selection plays an essential and fundamental role in prognostics and health management technology, and it is closely related to fault diagnosis, life prediction, and health assessment. The existing methods of sensor selection do not have an evaluation standard, which leads to different selection results. It is not helpful for the selection and layout of sensors. This paper proposes a comprehensive evaluation method of sensor selection for prognostics and health management (PHM) based on grey clustering. The described approach divides sensors into three grey classes, and defines and quan

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11

Liang, Shuang, Yun Zhu, Hao Li, and Junkun Yan. "Evolutionary Computational Intelligence-Based Multi-Objective Sensor Management for Multi-Target Tracking." Remote Sensing 14, no. 15 (2022): 3624. http://dx.doi.org/10.3390/rs14153624.

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In multi-sensor systems (MSSs), sensor selection is a critical technique for obtaining high-quality sensing data. However, when the number of sensors to be selected is unknown in advance, sensor selection is essentially non-deterministic polynomial-hard (NP-hard), and finding the optimal solution is computationally unacceptable. To alleviate these issues, we propose a novel sensor selection approach based on evolutionary computational intelligence for tracking multiple targets in the MSSs. The sensor selection problem is formulated in a partially observed Markov decision process framework by m

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12

Hausmann, M., L. Häfner, and E. Kirchner. "A Procedure Model for the Systematic Sensor Selection and Integration into Technical Systems." Proceedings of the Design Society 2 (May 2022): 445–54. http://dx.doi.org/10.1017/pds.2022.46.

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AbstractNew sensor solutions are under development in the context of digitalization in order to integrate sensory functions into systems. When integrating sensors, the three domains of mechanical, electrical and information engineering must be considered. This results in complex development processes that require suitable procedure models. However, specific procedure models for sensor selection and integration are missing. This contribution proposes a procedure model for sensor selection and integration on the basis of the Munich Procedure Model (MPM) and gives an outlook on open research ques

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13

Rana, Md Tasnim, Md Shariful Islam, and Azizur Rahman. "Human-Centered Sensor Technologies for Soft Robotic Grippers: A Comprehensive Review." Sensors 25, no. 5 (2025): 1508. https://doi.org/10.3390/s25051508.

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The importance of bio-robotics has been increasing day by day. Researchers are trying to mimic nature in a more creative way so that the system can easily adapt to the complex nature and its environment. Hence, bio-robotic grippers play a role in the physical connection between the environment and the bio-robotics system. While handling the physical world using a bio-robotic gripper, complexity occurs in the feedback system, where the sensor plays a vital role. Therefore, a human-centered gripper sensor can have a good impact on the bio-robotics field. But categorical classification and the se

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Wu, Lei, Muneesh Maheshwari, Yaowen Yang, and Wensheng Xiao. "Selection and Characterization of Packaged FBG Sensors for Offshore Applications." Sensors 18, no. 11 (2018): 3963. http://dx.doi.org/10.3390/s18113963.

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With the development in the exploitation of maritime resources, the structural health monitoring (SHM) of offshore structures becomes necessary. This study focuses on addressing the practical issues of application of fiber Bragg grating (FBG) sensors for the SHM of offshore structures, in particular an FPSO (floating, production, storage, and offloading unit) vessel. Due to the harsh marine environment and tough working conditions, the FBG sensors must have sufficient protection and good repeatability for long-term monitoring. Thorough research has been conducted to identify the most suitable,

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15

Wang, Qiang, Tao Cheng, Yijun Lu, Haichuan Liu, Runhua Zhang, and Jiandong Huang. "Underground Mine Safety and Health: A Hybrid MEREC–CoCoSo System for the Selection of Best Sensor." Sensors 24, no. 4 (2024): 1285. http://dx.doi.org/10.3390/s24041285.

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This research addresses the paramount issue of enhancing safety and health conditions in underground mines through the selection of optimal sensor technologies. A novel hybrid MEREC-CoCoSo system is proposed, integrating the strengths of the MEREC (Method for Eliciting Relative Weights) and Combined Compromise Solution (CoCoSo) methods. The study involves a three-stage framework: criteria and sensor discernment, criteria weight determination using MEREC, and sensor prioritization through the MEREC-CoCoSo framework. Fifteen criteria and ten sensors were identified, and a comprehensive analysis,

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16

Duan, Mu, Yunbo Zhang, Ran Liu, et al. "Observation Capability Evaluation Model for Flood-Observation-Oriented Satellite Sensor Selection." Applied Sciences 13, no. 22 (2023): 12482. http://dx.doi.org/10.3390/app132212482.

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Satellite sensors are one of the most important means of collecting real-time geospatial information. Due to their characteristics such as large spatial coverage and strong capability for dynamic monitoring, they are widely used in the observation of real-time flood situation information for flood situational awareness and response. Selecting the optimum sensor is vital when multiple sensors exist. Presently, sensor selection predominantly hinges on human experience and various quantitative and qualitative evaluation methods. Yet, these methods lack optimization considering the flood’s spatiot

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17

Spoorthi, K., Saha Snehanshu, and Mathur Archana. "Discrete Path Selection and Entropy Based Sensor Node Failure Detection in Wireless Sensor Networks." Cybernetics and Information Technologies 16, no. 3 (2016): 137–53. http://dx.doi.org/10.1515/cait-2016-0039.

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Abstract Exertion of wireless sensor networks has been increasing in recent years, and it imprints in almost all the technologies such as machine industry, medical, military and civil applications. Due to rapid growth in electronic fabrication technology, low cost, efficient, multifunctional and accurate sensors can be produced and thus engineers tend to incorporate many sensors in the area of deployment. As the number of sensors in the field increases, the probability of failure committed by these sensors also increases. Hence, efficient algorithms to detect and recover the failure of sensors

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18

Zhou, Chuandi, Yibing Liu, Ji Wu, and Chao Zhou. "Optimal Sensor Placement and Minimum Number Selection of Sensors for Health Monitoring of Transmission Towers." Shock and Vibration 2020 (December 28, 2020): 1–12. http://dx.doi.org/10.1155/2020/2375947.

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Transmission towers are structurally complex, which makes it challenging to choose the right place and number of sensors for health monitoring. In this paper, optimal sensor placement of a cat-head-type transmission tower is conducted by using the Effective Independent Method (EIM) and a method is proposed for calculating the minimum number of sensors for structural health monitoring by combining EIM and Modal Assurance Criterion (MAC). The method for calculating the number of sensors prescribed in this paper derives a curve that shows the relationship between MAC value and the number of senso

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19

Calvo-Fullana, Miguel, Javier Matamoros, and Carles Antón-Haro. "Sensor Selection and Power Allocation Strategies for Energy Harvesting Wireless Sensor Networks." IEEE Journal on Selected Areas in Communications 34, no. 12 (2016): 3685–95. https://doi.org/10.1109/JSAC.2016.2611859.

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In this paper, we investigate the problem of jointly selecting a predefined number of energy-harvesting (EH) sensors and computing the optimal power allocation. The ultimate goal is to minimize the reconstruction distortion at the fusion center. This optimization problem is, unfortunately, non-convex. To circumvent that, we propose two suboptimal strategies: 1) a joint sensor selection and power allocation (JSS-EH) scheme that, we prove, is capable of iteratively finding a stationary solution of the original problem from a sequence of surrogate convex problems and 2) a separate sensor selectio

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20

Aktaş, Başak, Talha Şahin, Ersin Toptaş, Aydın Güllü, Ahmet Feyzioğlu, and Sezgin Ersoy. "Material selection in sensor design for additive manufacturing." Journal of Mechatronics and Artificial Intelligence in Engineering 4, no. 2 (2023): 122–32. http://dx.doi.org/10.21595/jmai.2023.23794.

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Surface acoustic sensor technology plays a crucial role in numerous mechatronic systems as it enables the detection of physical interactions with the environment. These sensors, operating at micro scales, can be seamlessly integrated into various industrial applications. To harness their full potential, it is essential to establish a systematic approach for the design and manufacturing of these sensors to meet the demands of cutting-edge applications. This study focuses on creating a finite element analysis-based model, aiming to identify the most suitable Interdigital Transducer (IDT) materia

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21

Wulandari, Sari Ayu, Sutikno Madnasri, Ratih Pramitasari, and Susilo Susilo. "Feature Selection Method to Improve the Accuracy of Diabetes Mellitus Detection Instrument." IJID (International Journal on Informatics for Development) 9, no. 2 (2020): 72–79. http://dx.doi.org/10.14421/ijid.2020.09203.

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The need for aroma recognition devices or often known as enose (electronic nose), is increasing. In the health field, enose can detect early diabetes mellitus (DM) type 2 from the aroma of urine. Enose is an aroma recognition tool that uses a pattern recognition algorithm to recognize the urine aroma of diabetics based on input signals from an array of gas sensors. The need for portable enose devices is increasing due to the increasing need for real-time needs. Enose devices have an enormous impact on the choice of the gas sensor Array in the enose. This article discusses the effect of the num

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Shieh, J., J. E. Huber, N. A. Fleck, and M. F. Ashby. "The selection of sensors." Progress in Materials Science 46, no. 3-4 (2001): 461–504. http://dx.doi.org/10.1016/s0079-6425(00)00011-6.

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Kour, Kanwalpreet, Deepali Gupta, Kamali Gupta, et al. "Monitoring Ambient Parameters in the IoT Precision Agriculture Scenario: An Approach to Sensor Selection and Hydroponic Saffron Cultivation." Sensors 22, no. 22 (2022): 8905. http://dx.doi.org/10.3390/s22228905.

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The world population is on the rise, which demands higher food production. The reduction in the amount of land under cultivation due to urbanization makes this more challenging. The solution to this problem lies in the artificial cultivation of crops. IoT and sensors play an important role in optimizing the artificial cultivation of crops. The selection of sensors is important in order to ensure a better quality and yield in an automated artificial environment. There are many challenges involved in selecting sensors due to the highly competitive market. This paper provides a novel approach to

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Heck, L. P., J. A. Olkin, and K. Naghshineh. "Transducer Placement for Broadband Active Vibration Control Using a Novel Multidimensional QR Factorization." Journal of Vibration and Acoustics 120, no. 3 (1998): 663–70. http://dx.doi.org/10.1115/1.2893881.

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This paper advances the state of the art in the selection of minimal configurations of sensors and actuators for active vibration control with smart structures. The method extends previous transducer selection work by (1) presenting a unified treatment of the selection and placement of large numbers of both sensors and actuators in a smart structure, (2) developing computationally efficient techniques to select the best sensor-actuator pairs for multiple unknown force disturbances exciting the structure, (3) selecting the best sensors and actuators over multiple frequencies, and (4) providing

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Wang, Litao, Elijah Kannatey-Asibu,, and Mostafa G. Mehrabi. "A Method for Sensor Selection in Reconfigurable Process Monitoring." Journal of Manufacturing Science and Engineering 125, no. 1 (2003): 95–99. http://dx.doi.org/10.1115/1.1531145.

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Sensor selection is important for process monitoring. Each time a machining system is reconfigured, the corresponding monitoring system needs to be re-designed for effective detection of the faults of interest. To accomplish this, a sensor selection methodology is proposed in this paper. Fuzzy theory is utilized for the multi-criteria decision-making process. Evaluation criteria are selected based on a thorough study of fault characteristics. Under subjective criteria, the ratings of different sensors are evaluated using linguistic terms, which are converted to trapezoidal fuzzy numbers. Under

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Zhou, Jingmeng. "A Review of LiDAR sensor Technologies for Perception in Automated Driving." Academic Journal of Science and Technology 3, no. 3 (2022): 255–61. http://dx.doi.org/10.54097/ajst.v3i3.2993.

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After more than 20 years of research, ADAS is common in modern vehicles on the market. Automated driving systems have gradually moved from the research stage to public roads for commercial testing. These systems rely on information provided by onboard sensors that describe the state of the vehicle, its environment, and other participants. The selection and placement of sensing sensors are key factors in system design. In order to better understand the principles and functional implementation of sensing sensors, this paper reviews the existing and latest sensing sensor technologies and presents

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Suhaila, Suhaila, Danang Lelono, and Yunita Sari Sari. "Seleksi Fitur dengan Artificial Bee Colony untuk Optimasi Klasifikasi Data Teh menggunakan Support Vector Machine." IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) 12, no. 1 (2022): 81. http://dx.doi.org/10.22146/ijeis.63902.

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Tea quality can be recognized through the aroma it produces. Tea classification using e-nose generally only detects aroma using a general gas sensor. However, redundancy of sensor features can cause a decreasing in the system performance. Therefore we need a system that can select features so the classification performance becomes optimal. A software system of feature selection was built to optimize classification performance. Input data for the system is e-nose sensor response to 3 black tea qualities. The features are sensors on the e-nose instrument. Feature selection is implemented using w

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Lata, Suman, and Harish Kumar Verma. "Selection of Number and Locations of Multi-Sensor Nodes Inside Greenhouse." Pertanika Journal of Science and Technology 30, no. 2 (2022): 933–48. http://dx.doi.org/10.47836/pjst.30.2.05.

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One of the possible solutions for meeting the rising food demands is to opt for wireless sensor networks (WSN) monitored intelligent greenhouses. Such greenhouses require wireless sensor nodes rather than individual sensors to monitor and control the various parameters responsible for the growth of the plants. The appropriate selection of the number of wireless sensor nodes and their placement is crucial for optimizing the cost of the wireless sensor network by minimizing the number of sensor nodes as well as the measurement error. This paper extends the two techniques, namely, equal step (ES)

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Sousan, Sinan, Alyson Gray, Christopher Zuidema, et al. "Sensor Selection to Improve Estimates of Particulate Matter Concentration from a Low-Cost Network." Sensors 18, no. 9 (2018): 3008. http://dx.doi.org/10.3390/s18093008.

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Deployment of low-cost sensors in the field is increasingly popular. However, each sensor requires on-site calibration to increase the accuracy of the measurements. We established a laboratory method, the Average Slope Method, to select sensors with similar response so that a single, on-site calibration for one sensor can be used for all other sensors. The laboratory method was performed with aerosolized salt. Based on linear regression, we calculated slopes for 100 particulate matter (PM) sensors, and 50% of the PM sensors fell within ±14% of the average slope. We then compared our Average Sl

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Wang, Xingwang, Debing Wei, Xiaohui Wei, Junhong Cui, and Miao Pan. "HAS4: A Heuristic Adaptive Sink Sensor Set Selection for Underwater AUV-Aid Data Gathering Algorithm." Sensors 18, no. 12 (2018): 4110. http://dx.doi.org/10.3390/s18124110.

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In this paper, we target solving the data gathering problem in underwater wireless sensor networks. In many underwater applications, it is not quick to retrieve sensed data, which gives us the opportunity to leverage mobile autonomous underwater vehicles (AUV) as data mules to periodically collect it. For each round of data gathering, the AUV visits part of the sensors, and the communication between AUV and sensor nodes is a novel high-speed magnetic-induction communication system. The rest of the sensors acoustically transmit their sensed data to the AUV-visit sensors. This paper deploys the

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Rahmantyo, Wikan Haryo, and Danang Lelono. "Analisis Respons Sensor Electroni Tongue terhadap Sampel Ganja menggunakan Support Vector Machine." IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) 9, no. 2 (2019): 141. http://dx.doi.org/10.22146/ijeis.49173.

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Electronic tongue sensors consisting of 16 sensor array made of TOMA and OA lipids that have been used to classify samples of pure cannabis, cannabis mixed with tea and cannabis mixed with tobacco does not involve the feature selection technique so that a lot of duplicated data is generated from data sampling. Feature selection is performed using PCA. Data analysis resulted in loading values shows the contribution of each sensor, and the similarity in sensor performance in characterizing samples, then analyzed using the correlation test so that the sensors that produce redundant information ar

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Raposo, Mariana, Maria Teresa S. R. Gomes, Sara T. Costa, Maria João Botelho, and Alisa Rudnitskaya. "Sensor Selection for an Electronic Tongue for the Rapid Detection of Paralytic Shellfish Toxins: A Case Study." Chemosensors 12, no. 6 (2024): 115. http://dx.doi.org/10.3390/chemosensors12060115.

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The performance of an electronic tongue can be optimized by varying the number and types of sensors in the array and by employing data-processing methods. Sensor selection is typically performed empirically, with sensors picked up either by analyzing their characteristics or through trial and error, which does not guarantee an optimized sensor array composition. This study focuses on developing a method for sensor selection for an electronic tongue using simulated sensor data and Lasso regularization. Simulated sensor responses were calculated using sensor parameters such as sensitivity and se

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Kain, Raslan, and Hazem Hajj. "An Optimization Approach to Multi-Sensor Operation for Multi-Context Recognition." Sensors 21, no. 20 (2021): 6862. http://dx.doi.org/10.3390/s21206862.

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Mobile devices and sensors have limited battery lifespans, limiting their feasibility for context recognition applications. As a result, there is a need to provide mechanisms for energy-efficient operation of sensors in settings where multiple contexts are monitored simultaneously. Past methods for efficient sensing operation have been hierarchical by first selecting the sensors with the least energy consumption, and then devising individual sensing schedules that trade-off energy and delays. The main limitation of the hierarchical approach is that it does not consider the combined impact of s

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Chan, Tung Jung, Ching Mu Chen, and Tsair Rong Chen. "A Forwarding Station Integrated with Optimal Cluster Number Selection in Wireless Sensor Networks." Applied Mechanics and Materials 201-202 (October 2012): 745–48. http://dx.doi.org/10.4028/www.scientific.net/amm.201-202.745.

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In wireless sensor networks, power consumption is the most important issue. That is wireless sensors are normally deployed into unattended places where power of sensors is hard to be charged. Indeed, the network lifetime of wireless sensor networks equipped with city power or deployed into attended place is much longer than those wireless sensors equipped with batteries. In general, wireless sensor nodes are connected together and become a network after deployed into certain places. With the certain range places that wireless senor nodes deployed into, finding the optimal clusters can increase

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Ferreira, Pedro M., Miguel A. Machado, Marta S. Carvalho, and Catarina Vidal. "Embedded Sensors for Structural Health Monitoring: Methodologies and Applications Review." Sensors 22, no. 21 (2022): 8320. http://dx.doi.org/10.3390/s22218320.

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Sensing Technology (ST) plays a key role in Structural Health-Monitoring (SHM) systems. ST focuses on developing sensors, sensory systems, or smart materials that monitor a wide variety of materials’ properties aiming to create smart structures and smart materials, using Embedded Sensors (ESs), and enabling continuous and permanent measurements of their structural integrity. The integration of ESs is limited to the processing technology used to embed the sensor due to its high-temperature sensitivity and the possibility of damage during its insertion into the structure. In addition, the techno

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LORENZ, MARKUS. "SENSOR SELECTION." New Electronics 55, no. 5 (2022): 16–17. http://dx.doi.org/10.12968/s0047-9624(22)60169-x.

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Cherqui, F., R. James, P. Poelsma, et al. "A platform and protocol to standardise the test and selection low-cost sensors for water level monitoring." H2Open Journal 3, no. 1 (2020): 437–56. http://dx.doi.org/10.2166/h2oj.2020.050.

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Abstract Water infrastructure in cities is complex and requires proactive management to optimise function. The scale and distribution of assets across municipalities requires affordable systems which can trigger alerts. Systems underpinned by low-cost sensors could meet increasing monitoring needs: more assets, more often, and at a better resolution. However, low-cost sensors require appropriate testing to assess their performance and optimise their use. Here, we focus on low-cost water level sensors, often considered as the main monitoring parameters for water-related infrastructures. We deve

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Santos-Ruiz, Ildeberto, Francisco-Ronay López-Estrada, Vicenç Puig, Guillermo Valencia-Palomo, and Héctor-Ricardo Hernández. "Pressure Sensor Placement for Leak Localization in Water Distribution Networks Using Information Theory." Sensors 22, no. 2 (2022): 443. http://dx.doi.org/10.3390/s22020443.

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This paper presents a method for optimal pressure sensor placement in water distribution networks using information theory. The criterion for selecting the network nodes where to place the pressure sensors was that they provide the most useful information for locating leaks in the network. Considering that the node pressures measured by the sensors can be correlated (mutual information), a subset of sensor nodes in the network was chosen. The relevance of information was maximized, and information redundancy was minimized simultaneously. The selection of the nodes where to place the sensors wa

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39

Norris, G. A., and R. E. Skelton. "Selection of Dynamic Sensors and Actuators in the Control of Linear Systems." Journal of Dynamic Systems, Measurement, and Control 111, no. 3 (1989): 389–97. http://dx.doi.org/10.1115/1.3153066.

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This paper selects sensors and actuators (location, type, and number) from an admissible set. We seek an approximate solution to this integer programming problem. Given the optimal use of the entire admissible set of sensors and actuators, it is possible to decompose the quadratic cost function into contributions from each stochastic input and each weighted output. In the past, these suboptimal cost decomposition methods of sensor and actuator selection have been used to locate perfect (infinite bandwidth) sensors and actuators on large scale systems. This paper extends these ideas to the more

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40

Тulebekova, А. S., Ye B. Utepov, and Sh Zh Zharasov. "APPLICATION FEATURES OF CONCRETE STRENGTH MONITORING SENSORS." Bulletin of Kazakh Leading Academy of Architecture and Construction 81, no. 3 (2021): 146–56. http://dx.doi.org/10.51488/1680-080x/2021.3-18.

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The paper presents an algorithm of application of concrete strength monitoring sensors taking into account such features as a selection of sensor type, selection of concrete mixture calibration method according to regulated requirements, consideration of concrete maturity sensor location, degree of influence of hardening temperature on strength gain based on isotherms construction. This algorithm was reflected in practice, as the wireless sensor for concrete strength monitoring developed within the project was applied according to the selected scheme in real-time.

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41

Westphal, R. "Sensors, Medical Image and Signal Processing." Yearbook of Medical Informatics 16, no. 01 (2007): 70–71. http://dx.doi.org/10.1055/s-0038-1638528.

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SummaryTo summarize current excellent research in the field of sensor, signal and imaging informatics.Synopsis of the articles selected for the IMIA Yearbook 2007.The selection process for this yearbook section “Sensor, signal and imaging informatics” results in five excellent articles, representing research in four different nations. Papers from the fields of brain machine interfaces, sound surveillance in telemonitoring, soft tissue modeling, and body sensors have been selected.The selection for this yearbook section can only reflect a small portion of the worldwide copious work in the field

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42

Stepanov, M. V. "FIBER-OPTICAL SENSORS ON THE BASIS OF SPECTRAL AND SELECTION ELEMENTS." Kontrol'. Diagnostika, no. 322 (April 2025): 49–54. https://doi.org/10.14489/td.2025.04.pp.049-054.

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In article questions of creation of optical fiber sensors on the basis of the spectral and selection elements are considered. The block diagram of such sensors and the expression describing process of spectral transformation in the pickup are provided. Dependence of nonlinearity of the position characteristic of the sensor on its range of measurement and bandwidth of the spectral and selection element is considered and recommendations about increase of linearity of the position characteristic are provided. The analysis of the main and additional errors of the considered sensors is also provide

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43

Habyarimana, Mathew, and Abayomi A. Adebiyi. "Selection and Placement of Sensors for Electric Motors: A Review and Preliminary Investigation." Energies 18, no. 13 (2025): 3484. https://doi.org/10.3390/en18133484.

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This review explores sensor selection and placement strategies for electric motor monitoring in industrial settings. A wide range of sensor types including temperature, vibration, current, and position sensors—are evaluated in terms of their technical features and application constraints. Preliminary experimental data on vibration sensors highlight how signal amplitude varies with sensor placement, reinforcing the importance of correct positioning. However, this study stops short of applying AI/ML techniques to optimize placement. Accordingly, this paper serves as a foundational step toward de

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44

Worsey, Espinosa, Shepherd, and Thiel. "A Systematic Review of Performance Analysis in Rowing Using Inertial Sensors." Electronics 8, no. 11 (2019): 1304. http://dx.doi.org/10.3390/electronics8111304.

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Sporting organizations such as professional clubs and national sport institutions are constantly seeking novel training methodologies in an attempt to give their athletes a cutting edge. The advent of microelectromechanical systems (MEMS) has facilitated the integration of small, unobtrusive wearable inertial sensors into many coaches’ training regimes. There is an emerging trend to use inertial sensors for performance monitoring in rowing; however, the use and selection of the sensor used has not been appropriately reviewed. Previous literature assessed the sampling frequency, position, and f

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45

Sotelo, Juan G., Jaime Bonilla-Ríos, and José L. Gordillo. "Enhance Ethanol Sensing Performance of Fe-Doped Tetragonal SnO2 Films on Glass Substrate with a Proposed Mathematical Model for Diffusion in Porous Media." Sensors 24, no. 14 (2024): 4560. http://dx.doi.org/10.3390/s24144560.

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This research enhances ethanol sensing with Fe-doped tetragonal SnO2 films on glass, improving gas sensor reliability and sensitivity. The primary objective was to improve the sensitivity and operational efficiency of SnO2 sensors through Fe doping. The SnO2 sensors were synthesized using a flexible and adaptable method that allows for precise doping control, with energy-dispersive X-ray spectroscopy (EDX) confirming homogeneous Fe distribution within the SnO2 matrix. A morphological analysis showed a surface structure ideal for gas sensing. The results demonstrated significant improvement in

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Grattan, K. T. V. "Pressure sensors—Selection and application." Optics & Laser Technology 26, no. 2 (1994): 139–40. http://dx.doi.org/10.1016/0030-3992(94)90099-x.

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Rao, D. Raghunatha, T. Jayachandra Prasad, and M. N. Giri Prasad. "Affirmed Crowd Sensor Selection based Cooperative Spectrum Sensing." International Journal on Recent and Innovation Trends in Computing and Communication 10, no. 10 (2022): 65–77. http://dx.doi.org/10.17762/ijritcc.v10i10.5737.

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The Cooperative Spectrum sensing model is gaining importance among the cognitive radio network sharing groups. While the crowd-sensing model (technically the cooperative spectrum sensing) model has positive developments, one of the critical challenges plaguing the model is the false or manipulated crowd sensor data, which results in implications for the secondary user’s network. Considering the efficacy of the spectrum sensing by crowd-sensing model, it is vital to address the issues of falsifications and manipulations, by focusing on the conditions of more accurate determination models. Conce

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Lee, JeeEun, and Sun K. Yoo. "Radar-Based Detection of Respiration Rate with Adaptive Harmonic Quefrency Selection." Sensors 20, no. 6 (2020): 1607. http://dx.doi.org/10.3390/s20061607.

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Continuous respiration monitoring is important for predicting a potential disease. Due to respiration measurements using contact sensors, it is difficult to achieve continuous measurement because the sensors are inconvenient to attach. In this study, a radar sensor was used for non-contact respiration measurements. The radar sensor had a high precision and could even be used in the dark. It could also be used continuously regardless of time and place. The radar sensor relied on the periodicity of respiration to detect the respiration rate. A respiration adaptive interval was set and the respir

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Dora, Sidhartha Sankar, and Prasanta Kumar Swain. "Feature Selection and Energy Management in Wireless Sensor Networks using Deep Learning." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9s (2023): 628–33. http://dx.doi.org/10.17762/ijritcc.v11i9s.7476.

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In wireless sensor networks, when the available energy sources and battery capacity are extremely constrained, energy efficiency is a major issue to be adressed. One of the main goals in the design of wireless sensor networks (WSNs) is to maximize longevity of battery life. Designers can benefit from the use of intelligent power utilization models to accomplish this goal. These models seek to decrease the number of chosen sensors used to record environmental measures in order to minimize power utilization while retaining the acceptable level of measurement accuracy. In order to simulate wirele

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Wei, Yu, Libin Jiao, Jie Sha, Jixin Ma, Anton Umek, and Anton Kos. "Sensor selection scheme in activity recognition based on hierarchical feature reduction." International Journal of Distributed Sensor Networks 14, no. 8 (2018): 155014771879380. http://dx.doi.org/10.1177/1550147718793801.

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To better understand the activity state of human, we might need multiple sensors on different parts of the body. According to different types of activities, the number and slot of required sensors would also be different. Therefore, how to determine the number and slot of necessary sensors regarding to wearers’ experience and processing efficiency is a meaningful study in actual practice. In this work, we propose a novel sensor selection scheme that is based on the improvement of the feature reduction process of the recognition. This scheme applies a hierarchical feature reduction method based

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