Search Results - (( using iterative sensor algorithm ) OR ( using optimization method algorithm ))

Iterative And Single-Step Solutions Of Two Dimensional Time-Domain Inverse Scattering Problem Featuring Ultra Wide Band Sensors by Binajjaj, Saeed Ali Saeed

“…The imaging algorithm was based on a non-linear optimization technique from which the single-step and iterative inversion schemes were realized. …”
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Single Fitness Function to Optimize Energy using Genetic Algorithms for Wireless Sensor Network by Ismail Abdullah, Kalid Abdlkader Marsal

A novel peak detection algorithm using particle swarm optimization for chew count estimation of a contactless chewing detection by Selamat, Nur Asmiza, Md. Ali, Sawal Hamid, Minhad, Khairun Nisa’, Ahmad, Siti Anom, Sampe, Jahariah

“…The proposed estimation approach simplifies the typical trial-and-error method. During optimization, within 100 iterations, the chewing count is reduced by 12.9% from its first iteration. …”
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A new routing mechanism for energy-efficient in bluetooth mesh-low power nodes based on wireless sensor network by Almuslehi, Hussein Saad Mohammed

“…The multi-criterion energyefficient routing mechanism uses the ACO algorithm, inspired by ants' foraging behaviour. …”
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A novel peak detection algorithm using particle swarm optimization for chew count estimation of a contactless chewing detection by Selamat, Nur Asmiza, Md. Ali, Sawal Hamid, Minhad, Khairun Nisa’, Ahmad, Siti Anom

“…The proposed estimation approach simplifies the typical trial-and-error method. During optimization, within 100 iterations, the chewing count is reduced by 12.9% from its first iteration. …”
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Modelling of multi-robot system for search and rescue by Poy, Yi Ler

“…In this project, this sensor-based algorithm is known as the Obstacle Avoidance Algorithm. …”
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Optimization of image mapping & camera coverage efficiency for continuous location and tracking by Avinash A.R., Chandan K.C.

“…Simulation done using Matlab has proved the significance of image mapping method (error=1.3%), iteration algorithm (error=5.98%) and velocity tracking (error=0.52%) when results of simulation was compared to actual measurement. �2009 IEEE.…”

SecPath: Energy efficient path reconstruction in wireless sensor network using iterative smoothing by Abd, Wamidh Jwdat

“…This work uses iterative smoothing algorithm to find an alternative path with less distance and energy consumption. …”
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Tracking moving targets in wireless sensor networks using extended diffusion strategies of distributed Kalman filter by Solouk, Vahid, Taghizadeh, Hamid, Moghanjoughi, Ayyoub Akbari, Razm, S. K.

“…The proposed algorithms provide precise state estimates in a moment as global state estimates using various updates at each step. …”
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Energy efficient path reconstruction in wireless sensor network using iPath by Hasan, Sazlinah, Abd, Wamidh Jwdat, Ariffin, Ahmad Alauddin

“…Thus, the iPath by added the energy efficiency enables the reconstruction of the per-packet routing paths of large-scale networks, by providing a stable and efficient route to exchange messages between source and destination in a timely manner. This work uses iterative boosting algorithm to find an alternative path with less distance and energy consumption. …”
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Investigation of relaxation factor in landweber iterative algorithm for electrical capacitance tomography by Tian, Wenbin, Ramli, Mimi Faisyalini, Yang, Wuqiang, Sun, Jiangtao

“…It is crucial to select a suitable relaxation factor in iterative image reconstruction algorithms (e.g. Landweber iterative algorithm) for electrical capacitance tomography (ECT) because it affects the convergence. …”
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Characterization of gas-solid two-phase flow by using electrical capacitance tomography by Hamzah, Ahmad Azahari

“…To achieve these aims, three objectives are set: (i) determination of the optimum conditions for an AC-ECT system to measure the capacitance of poly(methyl methacrylate) (PMMA) material; (ii) determination of the average solid velocity using a cross-correlation method; and (iii) image reconstruction based on eight ECT sensors using iterative and non�iterative algorithms. …”
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Image reconstruction using iterative transpose algorithm for optical tomography by Md. Yunos, Yusri, Abd. Rahim, Ruzairi, Green, R. G., Fazalul Rahiman, Mohd. Hafiz

“…This paper describes a transpose algorithm for use with an optical tomography system. …”
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Evoluation strategy for collaborative beamforming in wireless sensor networks by Wong, Chen How

“…An iterative algorithm using evolution strategy (ES) is proposed to achieve phase alignment at the intended location in static channels, which require one-bit feedback from the receiver destination. …”
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Evolution strategy for collaborative beamforming in wireless sensor networks by Wong, Chen How

“…An iterative algorithm using evolution strategy (ES) is proposed to achieve phase alignment at the intended location in static channels, which require one-bit feedback from the receiver destination. …”
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Review of wire-mesh tomography in different experiments by Rajan, Navintiran, Ruzairi, Abdul Rahim, Mohd Shukri, Manaf, Mohd Hafiz, Fazalul Rahiman, Anita, Ahmad, Yusri, Md Yunus, Sallehudin, Ibrahim, Mimi Faisyalini, Ramli, Yasmin, Abdul Wahab, Suzanna, Ridzuan Aw Abdullah

“…This sensor can be used to gain void fraction distribution in multiphase flow visualization. …”
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Improving robot Darwinian particle swarm optimization using quantum-behaved swarm theory for robot exploration and communication / Duaa Mehiar by Duaa , Mehiar

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On Clustering Algorithm Of Coverage Area Problems In Wireless Sensor Networks by Ismail Abdullah, Kalid Abdlkader Marsal

“…In the case study, many algorithms have been proposed in the literature, in order to find the maximum number of disjoint or non-disjoint sets of sensor cover sets, we can see where one set can be active at any one time. …”

Deriving the absorption coefficients of lattice mismatched InGaAs using genetic algorithm by Lee H.J., Ali Gamel M.M., Ker P.J., Jamaludin M.Z., Wong Y.H., Yap K.S., Willmott J.R., Hobbs M.J., David J.P.R., Tan C.H.

“…By selecting the best gene for the next iteration, the utilization of Genetic Algorithm has significantly reduced the number of iterations from a maximum of 10 000 to 300. …”

A Survey Of Supervised Machine Learning In Wireless Sensor Network: A Power Management Perspective by Ul haq, Riaz, Norrozila, Sulaiman, Muhammad, Alam

“…In the recent era, researchers used different routing algorithms to decrease the power consumption in order to increase the wireless sensor network life. …”
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