Results 11 to 20 of about 3,597,879 (240)
Sensor Array Design Through Submodular Optimization
IEEE Transactions on Information Theory, 2019 We consider the problem of far-field sensing by means of a sensor array. Traditional array geometry design techniques are agnostic to prior information about the far-field scene. However, in many applications such priors are available and may be utilized to design more efficient array topologies.
Gal Shulkind +2 more
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Source bearing and steering-vector estimation using partially calibrated arrays [PDF]
, 2009 The problem of source direction-of-arrival (DOA) estimation using a sensor array is addressed, where some of the sensors are perfectly calibrated, while others are uncalibrated. An algorithm is proposed for estimating the source directions in addition to
Lu, Y., Li, M.
core +4 more sources
Comparison of Evolutionary Optimization Algorithms for FM-TV Broadcasting Antenna Array Null Filling [PDF]
, 2015 Broadcasting antenna array null filling is a very challenging problem for antenna design optimization. This paper compares five antenna design optimization algorithms (Differential Evolution, Particle Swarm, Taguchi, Invasive Weed, Adaptive Invasive ...
Bruce, Mehrdadi +7 more
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A High-Precision Three-Dimensional Probe Array Temperature Sensor
Chemosensors, 2022 To meet the need for micro-volume devices for high-precision measurement of temperature, Cu-Constantan (CuNi45) thin films with a novel array structure of thermo-electrodes were designed and fabricated.
Bian Tian +8 more
doaj +1 more source
Sensors, 2022 Ultra-low-power is a key performance indicator in 6G-IoT ecosystems. Sensor nodes in this eco-system are also capable of running light-weight artificial intelligence (AI) models.
Shiv Nath Chaudhri +4 more
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Optimal node density for two-dimensional sensor arrays [PDF]
2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2008 The problem of optimal node density for ad hoc sensor networks deployed for making inferences about two dimensional correlated random fields is considered. Using a symmetric first order conditional autoregressive Gauss-Markov random field model, large deviations results are used to characterize the asymptotic per-node information gained from the array.
Youngchul Sung +2 more
openaire +3 more sources
Micromachines, 2018 In a new E-nose development, the sensor array needs to be optimized to have enough sensitivity and selectivity for gas/odor classification in the application.
Zhenghao Mao +4 more
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Internal defect identification method of TSV 3D packaging based on built-in integrated sensor
Advances in Mechanical Engineering, 2022 TSV (Through Silicon Via) is a key technology for three-dimensional (3D) packaging due to its unique vertical interconnection method. However, its particular manufacturing process of-ten leads to internal defects, such as gaps, bottom voids, filling ...
Lei Nie +5 more
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Optimization of Planar Interdigitated Microelectrode Array for Enhanced Sensor Responses
Micro, 2023 Immunoassays play a pivotal role in detecting and quantifying specific proteins within biological samples. However, its sensitivity and turnaround time are constrained by the passive diffusion of target molecules towards the sensors.
Sakib Islam, Jie Wu
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Digital implementation of the cellular sensor-computers [PDF]
, 2006 Two different kinds of cellular sensor-processor architectures are used nowadays in various applications. The first is the traditional sensor-processor architecture, where the sensor and the processor arrays are mapped into each other.
Rekeczky, Csaba +3 more
core +1 more source