Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Ahmed M. M. Almassri"'
Autor:
Abdullah Al Shiam, Kazi Mahmudul Hassan, Md. Rabiul Islam, Ahmed M. M. Almassri, Hiroaki Wagatsuma, Md. Khademul Islam Molla
Publikováno v:
Brain Sciences, Vol 14, Iss 5, p 462 (2024)
Electroencephalography (EEG) is effectively employed to describe cognitive patterns corresponding to different tasks of motor functions for brain–computer interface (BCI) implementation. Explicit information processing is necessary to reduce the co
Externí odkaz:
https://doaj.org/article/ef28a4aa8cb84e63bb3e97289c552398
Publikováno v:
Mathematics, Vol 11, Iss 17, p 3801 (2023)
Electrical activities of the human brain can be recorded with electroencephalography (EEG). To characterize motor imagery (MI) tasks for brain–computer interface (BCI) implementation is an easy and cost-effective tool. The MI task is represented by
Externí odkaz:
https://doaj.org/article/f9519f5e73a4436da6b7a343b450177f
Autor:
Ahmed M. M. Almassri, Natsuki Shirasawa, Amarbold Purev, Kaito Uehara, Wataru Oshiumi, Satoru Mishima, Hiroaki Wagatsuma
Publikováno v:
Sensors, Vol 22, Iss 15, p 5737 (2022)
This study presents an effective artificial neural network (ANN) approach to combine measurements from inertial measurement units (IMUs) and time-of-flight (TOF) measurements from an ultra-wideband (UWB) system with OptiTrack Motion Capture System (O
Externí odkaz:
https://doaj.org/article/c12641dcf1ff4d0188d743a04b220ca0
Autor:
Ahmed M. M. Almassri, Wan Zuha Wan Hasan, Siti Anom Ahmad, Suhaidi Shafie, Chikamune Wada, Keiichi Horio
Publikováno v:
Sensors, Vol 18, Iss 8, p 2561 (2018)
This paper presents a novel approach to predicting self-calibration in a pressure sensor using a proposed Levenberg Marquardt Back Propagation Artificial Neural Network (LMBP-ANN) model. The self-calibration algorithm should be able to fix major prob
Externí odkaz:
https://doaj.org/article/7ddf29096d7547c5af255743de485714
Autor:
Chikamune Wada, Siti Anom Ahmad, Keiichi Horio, Ahmed M. M. Almassri, Wan Zuha Wan Hasan, Suhaidi Shafie
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 18
Issue 8
Sensors, Vol 18, Iss 8, p 2561 (2018)
Sensors
Volume 18
Issue 8
Sensors, Vol 18, Iss 8, p 2561 (2018)
This paper presents a novel approach to predicting self-calibration in a pressure sensor using a proposed Levenberg Marquardt Back Propagation Artificial Neural Network (LMBP-ANN) model. The self-calibration algorithm should be able to fix major prob
Autor:
Asnor Juraiza Ishak, D. N. Talib, Siti Anom Ahmad, Ahmed M. M. Almassri, Aina Mardhiyah Mohamad Ghazali, Chikamune Wada, Wan Zuha Wan Hasan
Publikováno v:
Journal of Sensors, Vol 2015 (2015)
We survey the state of the art in a variety of force sensors for designing and application of robotic hand. Most of the force sensors are examined based on tactile sensing. For a decade, many papers have widely discussed various sensor technologies a
Publikováno v:
ICST
This paper presents an optimization of grasping object based on pressure sensor measurement. In this work, a commercial flexi force pressure sensors are assembled on the robotic hand gripper model with introducing new arrangement of pressure distribu
Autor:
Suhaidi Shafie, Ahmed M. M. Almassri, Mohd Amran Mohd Radzi, Ahmad H. Sabry, Wan Zuha Wan Hasan, Zainal Abidin Bin Ab. Kader
Publikováno v:
2014 IEEE International Conference on Power and Energy (PECon).
Based on the concept of optimizing the efficiency of the automated solar system in residential buildings application, this paper proposed a High efficiency solar Cut-Off charge controller as an alternative to the main solar charge controller in most
Publikováno v:
2014 IEEE International Symposium on Robotics and Manufacturing Automation (ROMA).
This paper presents the use of data acquisition (DAQ) device and LabVIEW program to evaluate and measure the pressure distribution for real-time robotic hand applications. An analog conditioning circuit has been implemented to calibrate and extract d
Publikováno v:
RSM 2013 IEEE Regional Symposium on Micro and Nanoelectronics.
In this paper, we have studied and surveyed the field of robotic hand and the works that have been done in this area related to types of materials such as piezoresistive, piezoelectric and capacitive as well as a few types of pressure sensors. It ind