Search

Your search keyword '"Sulaiman, Riza"' showing total 222 results
Start Over Author "Sulaiman, Riza"
222 results on '"Sulaiman, Riza"'

1. Improving Autonomous Robot Gripper Position on Lifting Trash Objects based on Object Geometry Parameters and Centroid Modification

Author

Naf’an, Emil, Sulaiman, Riza, Ali, Nazlena Mohamad, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Badioze Zaman, Halimah, editor, Robinson, Peter, editor, Smeaton, Alan F., editor, De Oliveira, Renato Lima, editor, Jørgensen, Bo Nørregaard, editor, K. Shih, Timothy, editor, Abdul Kadir, Rabiah, editor, Mohamad, Ummul Hanan, editor, and Ahmad, Mohammad Nazir, editor

Published
2024
Full Text
View/download PDF

7. 'Bangla Braille Learning Application' in Smartphones for Visually Impaired Students in Bangladesh

Author

Nahar, Lutfun, Sulaiman, Riza, and Jaafar, Azizah

Abstract

Android platform-based educational software for visually impaired students (VIS) are widely available, but very few of them are in Bangla. Due to the lack of low-cost Bangla Braille-based technologies, VIS depends on the traditional slate and stylus to learn Braille. This study proposes a Braille-based educational software, Bangla Braille Learning Application (BBLA), that helps VIS to learn Braille more effectively. Initially, interviews were conducted to identify the main challenges that VIS are facing; and based on the identified problem, BBLA is designed. The proposed interface layout is easy to distinguish that enables VIS to interact by touching the screen on smartphone. We have designed the software in a manner by which vibration and audio feedbacks are provided to users in response to their inputs. Interfaces were developed using JAVA programming language and Android development kit. The developed interfaces were evaluated by 6 advanced learners, 3 experts and 3 teachers through questionnaires; and by 30 VIS after using BBLA. Overall, results show that all respondents rated BBLA with a score of above 4.30 out of 5 in all the usability criteria (efficiency, learnability, memorability, error and satisfaction), indicating that BBLA is an effective Bangla Braille learning platform for VIS.

Published
2021
Full Text
View/download PDF

12. An Overview and Experiment on Wi-Fi Direct Connection Behaviour with Network Analysing Tools

Author

Lee, Thian Seng, Gardner-Stephen, Paul, Sulaiman, Riza, Ali, Nazlena Mohammad, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Badioze Zaman, Halimah, editor, Smeaton, Alan F., editor, Shih, Timothy K., editor, Velastin, Sergio, editor, Terutoshi, Tada, editor, Mohamad Ali, Nazlena, editor, and Ahmad, Mohammad Nazir, editor

Published
2019
Full Text
View/download PDF

13. Algebraic-Trigonometric Nonlinear Analytical Inverse Kinematic Modeling and Simulation for Robotic Manipulator Arm Motion Control

Author

Abdullah, Khairul Annuar, Marjudi, Suziyanti, Yusof, Zuriati, Sulaiman, Riza, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Badioze Zaman, Halimah, editor, Smeaton, Alan F., editor, Shih, Timothy K., editor, Velastin, Sergio, editor, Terutoshi, Tada, editor, Mohamad Ali, Nazlena, editor, and Ahmad, Mohammad Nazir, editor

Published
2019
Full Text
View/download PDF

14. Preliminary Simulation of Robot on Script Detection from Camera Images

Author

Wydyanto, Nayan, Norshita Mat, Sulaiman, Riza, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Badioze Zaman, Halimah, editor, Smeaton, Alan F., editor, Shih, Timothy K., editor, Velastin, Sergio, editor, Terutoshi, Tada, editor, Mohamad Ali, Nazlena, editor, and Ahmad, Mohammad Nazir, editor

Published
2019
Full Text
View/download PDF

15. Users’ Perception on Usability Aspects of a Braille Learning Mobile Application ‘mBRAILLE’

Author

Nahar, Lutfun, Sulaiman, Riza, Jaafar, Azizah, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Badioze Zaman, Halimah, editor, Smeaton, Alan F., editor, Shih, Timothy K., editor, Velastin, Sergio, editor, Terutoshi, Tada, editor, Mohamad Ali, Nazlena, editor, and Ahmad, Mohammad Nazir, editor

Published
2019
Full Text
View/download PDF

18. An Automated Size Recognition Technique for Acetabular Implant in Total Hip Replacement

Author

Shapi'i, Azrulhizam, Sulaiman, Riza, Hasan, Mohammad Khatim, and Kassim, Abdul Yazid Mohd

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Preoperative templating in Total Hip Replacement (THR) is a method to estimate the optimal size and position of the implant. Today, observational (manual) size recognition techniques are still used to find a suitable implant for the patient. Therefore, a digital and automated technique should be developed so that the implant size recognition process can be effectively implemented. For this purpose, we have introduced the new technique for acetabular implant size recognition in THR preoperative planning based on the diameter of acetabulum size. This technique enables the surgeon to recognise a digital acetabular implant size automatically. Ten randomly selected X-rays of unidentified patients were used to test the accuracy and utility of an automated implant size recognition technique. Based on the testing result, the new technique yielded very close results to those obtained by the observational method in nine studies (90%).

Published
2011
Full Text
View/download PDF

19. Mathematics Education and Accessible Technologies for Visually Impaired Students in Bangladesh

Author

Nahar, Lutfun, Jaafar, Azizah, Sulaiman, Riza, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Badioze Zaman, Halimah, editor, Robinson, Peter, editor, Smeaton, Alan F., editor, Shih, Timothy K., editor, Velastin, Sergio, editor, Terutoshi, Tada, editor, Jaafar, Azizah, editor, and Mohamad Ali, Nazlena, editor

Published
2017
Full Text
View/download PDF

20. Ontologies for Supporting Traffic Behaviour, Critical Gap, and Conflict Models at Unsignalized Intersection Routes.

Author

Mustakim, Fajaruddin, Ahmad, Mohammad Nazir, Kadir, Rabiah Abdul, Sulaiman, Riza, Ahmad, Azlina, Aziz, Azlan Abdul, and Mahmud, Azwan

Subjects
STRUCTURAL equation modeling, MOTORCYCLISTS, TRAFFIC accidents, TRAFFIC flow, LANE changing
Abstract

Background: The challenge arises from management of big data in transportation can be identified by ontological approach. Road accidents are regarded as a significant cause of both harm to humans and financial damage in many countries. In Malaysia, there were 567,516 accidents in 2020 alone. This translates into a daily average of 13 people killed due to traffic accidents in the country. Here, our work focuses on gap patterns, critical gap analysis, gap acceptance of right-turning motorists (RTMs) and serious conflict model on Malaysia Rural Roadways at three-leg unsignalized intersections. Methods: In early stage, traffic volume, motorist turning manoeuvre and speed study are implemented to identify the traffic behaviour at selected intersection. Three unsignalized intersection (UI) was involved namely (UI2), (UI 9), and (UI10). In the development of logistic regression models, five different datasets were used in this study: right-turning motorist (RTM) at unsignalized intersection UI2 (259 dataset), right-turning motorist at UI 9 (239 dataset), right turning motorist at UI 10 (314 dataset), right turning motorist combined model (812 dataset) and serious conflict lane change (351 dataset). Determination of critical gap was carried out at each unsignalized intersection 2, 9 and 10. Meanwhile gap-pattern analysis at each intersection used visualization spatial plot. In addition, this work investigated logistic regression method, artificial neuron network and structural equation modelling. Results: Gap pattern three was discovered to be a vulnerable gap pattern. Furthermore, this research reveals that the attributes of the gap three pattern, motorcycles rider, speed limit exceeding 50 kph and RTMs where motorcycles stop near passenger cars in minor roads encourage serious conflict. Moreover, this study proposes novelty tool for identifying hazardous unsignalized intersection by using visualization spatial plot between approach speed and gap. [ABSTRACT FROM AUTHOR]

Published
2023

25. A Comparative Study of Computer Aided System Preoperative Planning for High Tibial Osteotomy

Author

Awang, Norazimah, Sulaiman, Riza, Shapi’i, Azrulhizam, Rashid, Abdul Halim Abdul, Amran, Mohd Fahmi Mohamad, Osman, Salyani, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Badioze Zaman, Halimah, editor, Robinson, Peter, editor, Smeaton, Alan F., editor, Shih, Timothy K., editor, Velastin, Sergio, editor, Jaafar, Azizah, editor, and Mohamad Ali, Nazlena, editor

Published
2015
Full Text
View/download PDF

26. Evaluation of Wearable Device for the Elderly (W-Emas)

Author

Sin, Aw Kien, Zaman, Halimah Badioze, Ahmad, Azlina, Sulaiman, Riza, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Badioze Zaman, Halimah, editor, Robinson, Peter, editor, Smeaton, Alan F., editor, Shih, Timothy K., editor, Velastin, Sergio, editor, Jaafar, Azizah, editor, and Mohamad Ali, Nazlena, editor

Published
2015
Full Text
View/download PDF

33. Evaluation of Augmented Reality Remedial Worksheet Based on AVCTP Algorithm for Negative Numbers (AR²WN²)

Author

Badioze Zaman, Halimah, Periasamy, Elango a/l, Ahmad, Azlina, Sulaiman, Riza, Ang, Mei Choo, Mat Nayan, Norshita, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Zaman, Halimah Badioze, editor, Robinson, Peter, editor, Olivier, Patrick, editor, Shih, Timothy K., editor, and Velastin, Sergio, editor

Published
2013
Full Text
View/download PDF

34. Design Method of Video Based Iris Recognition System (V-IRS)

Author

Nseaf, Asama Kuder, Jaafar, Azizah, Rashid, Haroon, Sulaiman, Riza, Rahmat, Rahmita Wirza O. K., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Zaman, Halimah Badioze, editor, Robinson, Peter, editor, Olivier, Patrick, editor, Shih, Timothy K., editor, and Velastin, Sergio, editor

Published
2013
Full Text
View/download PDF

35. A New and Improved Size Detection Algorithm for Acetabular Implant in Total Hip Replacement Preoperative Planning

Author

Shapi’i, Azrulhizam, Sulaiman, Riza, Hasan, Mohammad Khatim, Prabuwono, Anton Satria, Kassim, Abdul Yazid Mohd, Hamid, Hamzaini Abdul, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Badioze Zaman, Halimah, editor, Robinson, Peter, editor, Petrou, Maria, editor, Olivier, Patrick, editor, Shih, Timothy K., editor, Velastin, Sergio, editor, and Nyström, Ingela, editor

Published
2011
Full Text
View/download PDF

37. Virtual Visualisation Laboratory for Science and Mathematics Content (Vlab-SMC) with Special Reference to Teaching and Learning of Chemistry

Author

Badioze Zaman, Halimah, Bakar, Norashiken, Ahmad, Azlina, Sulaiman, Riza, Arshad, Haslina, Mohd. Yatim, Nor Faezah, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Badioze Zaman, Halimah, editor, Robinson, Peter, editor, Petrou, Maria, editor, Olivier, Patrick, editor, Schröder, Heiko, editor, and Shih, Timothy K., editor

Published
2009
Full Text
View/download PDF

38. Development of Total Knee Replacement Digital Templating Software

Author

Yusof, Siti Fairuz, Sulaiman, Riza, Thian Seng, Lee, Mohd. Kassim, Abdul Yazid, Abdullah, Suhail, Yusof, Shahril, Omar, Masbah, Abdul Hamid, Hamzaini, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Badioze Zaman, Halimah, editor, Robinson, Peter, editor, Petrou, Maria, editor, Olivier, Patrick, editor, Schröder, Heiko, editor, and Shih, Timothy K., editor

Published
2009
Full Text
View/download PDF

46. Optimization of Trash Identification on the House Compound Using a Convolutional Neural Network (CNN) and Sensor System.

Author

Naf'an, Emil, Sulaiman, Riza, and Ali, Nazlena Mohamad

Subjects
*CONVOLUTIONAL neural networks, *WASTE management, *OPTICAL radar, *LIDAR, *OBJECT recognition (Computer vision)
Abstract

This study aims to optimize the object identification process, especially identifying trash in the house compound. Most object identification methods cannot distinguish whether the object is a real image (3D) or a photographic image on paper (2D). This is a problem if the detected object is moved from one place to another. If the object is 2D, the robot gripper only clamps empty objects. In this study, the Sequential_Camera_LiDAR (SCL) method is proposed. This method combines a Convolutional Neural Network (CNN) with LiDAR (Light Detection and Ranging), with an accuracy of ±2 mm. After testing 11 types of trash on four CNN architectures (AlexNet, VGG16, GoogleNet, and ResNet18), the accuracy results are 80.5%, 95.6%, 98.3%, and 97.5%. This result is perfect for object identification. However, it needs to be optimized using a LiDAR sensor to determine the object in 3D or 2D. Trash will be ignored if the fast scanning process with the LiDAR sensor detects non-real (2D) trash. If Real (3D), the trash object will be scanned in detail to determine the robot gripper position in lifting the trash object. The time efficiency generated by fast scanning is between 13.33% to 59.26% depending on the object's size. The larger the object, the greater the time efficiency. In conclusion, optimization using the combination of a CNN and a LiDAR sensor can identify trash objects correctly and determine whether the object is real (3D) or not (2D), so a decision may be made to move the trash object from the detection location. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

49. COMSeg technique for MRI knee cartilage segmentation

Author

Mohamad Amran Mohd Fahmi, Sulaiman Riza, and Djasmir Marlinawati

Subjects
musculoskeletal diseases, Environmental Engineering, Computer science, business.industry, Materials Science (miscellaneous), General Engineering, 02 engineering and technology, Management Science and Operations Research, musculoskeletal system, 030218 nuclear medicine & medical imaging, Knee cartilage, 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Segmentation, Computer vision, Artificial intelligence, business, Information Systems
Abstract

Segmentation is one of important methods in medical images processing, particularly as it allows images to be analysed. The method used for segmentation depends on the image problem to be resolved. In this research, knee cartilage needs to be segmented to determine the level of the Osteoarthritis (OA) and for further treatment. Knee cartilage is a soft hyline sponge that is located at the end of the femur, tibia and patella bone to release friction during movement. OA is a knee cartilage problem wherein there is a thinning of the cartilage that results in a shift especially happening between femur and tibia bone causing discomfort and pain. Thinning of the knee cartilage is due to many factors such as age, body weight, genetic, accident, sport injury and extreme use such as physical work. OA can occur to a male or female, child or adult. The effects experienced by patients with OA are such as difficulty to walk, limited movement, and pain in the thin cartilage areas. Monitoring of patients' condition needs to be done to help reduce the problem and thereby enable specialists to perform the appropriate treatment. Imaging is a method used today to monitor the condition of patients with OA. Previous studies showed that MRI is a suitable method for monitoring the condition of patients with OA because of its advantages in visualising knee cartilage more clearly than other imaging methods. Thus, for segmenting the knee cartilage which as mentioned before is an important process in medical images processing, the MR images were selected based on many factors. Segmentation in this study was aimed to obtain the cartilage region to diagnose patient OA level. Various segmentation techniques have been developed by researchers in segmenting the knee cartilage region but they have been unable to segment precisely due to the thin structure of the knee cartilage, especially for patients with intermediate and severe OA. COMSeg technique was developed to segment knee cartilage, especially for those experiencing a normal and intermediate OA and try to implement it to severe OA. The development of this new technique takes into account the imaging method used, the images feature obtained so it can be suitable to process knee image and then selection of an appropriate technique to be applied to the selected images as input.

Published
2019

Catalog

Books, media, physical & digital resources
See catalog results