MyMedR

Displaying publications 81 - 85 of 85 in total

Abstract:

Sort:

Fulltext Development of a Scalable Testbed for Mobile Olfaction Verification

Zakaria SM, Visvanathan R, Kamarudin K, Yeon AS, Md Shakaff AY, Zakaria A, et al.

Sensors (Basel), 2015;15(12):30894-912.
PMID: 26690175 DOI: 10.3390/s151229834

The lack of information on ground truth gas dispersion and experiment verification information has impeded the development of mobile olfaction systems, especially for real-world conditions. In this paper, an integrated testbed for mobile gas sensing experiments is presented. The integrated 3 m × 6 m testbed was built to provide real-time ground truth information for mobile olfaction system development. The testbed consists of a 72-gas-sensor array, namely Large Gas Sensor Array (LGSA), a localization system based on cameras and a wireless communication backbone for robot communication and integration into the testbed system. Furthermore, the data collected from the testbed may be streamed into a simulation environment to expedite development. Calibration results using ethanol have shown that using a large number of gas sensor in the LGSA is feasible and can produce coherent signals when exposed to the same concentrations. The results have shown that the testbed was able to capture the time varying characteristics and the variability of gas plume in a 2 h experiment thus providing time dependent ground truth concentration maps. The authors have demonstrated the ability of the mobile olfaction testbed to monitor, verify and thus, provide insight to gas distribution mapping experiment.

Matched MeSH terms: Robotics
Fulltext Paediatric transoral robotic-assisted adenotonsillectomy: a new anaesthetic experience in Malaysia.

Zawiah Kassim, Fauziah Ahmad, Rusnaini Mustapha Kamar, Karis Misiran

Journal of Clinical and Health Sciences, 2019;4(2):91-96.
MyJurnal

Safety and feasibility of transoral robotic surgery (TORS) in adults for otolaryngology surgery,
mainly in the treatment of oropharyngeal carcinoma and obstructive sleep apnoea has already
been established several years ago. However, less is known with respect to the role and safety
of TORS for otolaryngology surgery in the paediatric age group and its description in the
literature is currently insufficient. As paediatric patients are unique in their anatomy, physiology
and pharmacological kinetic, special attention and consideration has to be applied when using
TORS, hence this increases the perioperative challenges. Herewith we present our experience
in anaesthetising a paediatric patient for TORS adenotonsillectomy which is the first not only
in our centre but in Malaysia. Our major obstacle was the limited airway access as the area of
concern was shared by the anaesthesiologist, surgeon and also the robotic system.
Haemodynamic stabilisation was a challenge compared to the conventional method as the
operative time increased due to robot docking time and the new surgical learning process. In
our opinion, the key point for the success of TORS adenotonsillectomy in paediatric patients is
good communication and teamwork between all personnel involved in the surgery.

Matched MeSH terms: Robotics
Fulltext Bipedal humanoid robot

Zayer, Iman, Aris, I.B., Marhaban, M.H, Ishak, A.J

The Pertanika Journal of Scholarly Research Reviews, 2018;4(3):0-0.
MyJurnal

The new millennium witnessed increasing attention to the field of robotics, especially the development of humanoid bipedal robot. Attention is noticed from the increasing number of publications as a result of a multitude of humanoid projects for commercial and academic goals. This paper briefly visits the recent activities in this field, highlighting the importance and motivation behind adopting bipedal humanoid projects, particularly underlining biologically inspired design concept, bipedal locomotion and communication. Ultimately, emphasising on power-efficient design. The problem of endurance and effective duty cycle were presented. Finally, potential future application for the humanoid robot was briefly listed.

Matched MeSH terms: Robotics
ADA-SR: Activity detection and analysis using security robots for reliable workplace safety

Zhang G, Jing W, Tao H, Rahman MA, Salih SQ, Al-Saffar A, et al.

Work, 2021;68(3):935-943.
PMID: 33612535 DOI: 10.3233/WOR-203427

BACKGROUND: Human-Robot Interaction (HRI) has become a prominent solution to improve the robustness of real-time service provisioning through assisted functions for day-to-day activities. The application of the robotic system in security services helps to improve the precision of event detection and environmental monitoring with ease.
OBJECTIVES: This paper discusses activity detection and analysis (ADA) using security robots in workplaces. The application scenario of this method relies on processing image and sensor data for event and activity detection. The events that are detected are classified for its abnormality based on the analysis performed using the sensor and image data operated using a convolution neural network. This method aims to improve the accuracy of detection by mitigating the deviations that are classified in different levels of the convolution process.
RESULTS: The differences are identified based on independent data correlation and information processing. The performance of the proposed method is verified for the three human activities, such as standing, walking, and running, as detected using the images and sensor dataset.
CONCLUSION: The results are compared with the existing method for metrics accuracy, classification time, and recall.

Matched MeSH terms: Robotics
Need for developing a security robot-based risk management for emerging practices in the workplace using the Advanced Human-Robot Collaboration Model

Zheyuan C, Rahman MA, Tao H, Liu Y, Pengxuan D, Yaseen ZM

Work, 2021;68(3):825-834.
PMID: 33612525 DOI: 10.3233/WOR-203416

BACKGROUND: The increasing use of robotics in the work of co-workers poses some new problems in terms of occupational safety and health. In the workplace, industrial robots are being used increasingly. During operations such as repairs, unmanageable, adjustment, and set-up, robots can cause serious and fatal injuries to workers. Collaborative robotics recently plays a rising role in the manufacturing filed, warehouses, mining agriculture, and much more in modern industrial environments. This development advances with many benefits, like higher efficiency, increased productivity, and new challenges like new hazards and risks from the elimination of human and robotic barriers.
OBJECTIVES: In this paper, the Advanced Human-Robot Collaboration Model (AHRCM) approach is to enhance the risk assessment and to make the workplace involving security robots. The robots use perception cameras and generate scene diagrams for semantic depictions of their environment. Furthermore, Artificial Intelligence (AI) and Information and Communication Technology (ICT) have utilized to develop a highly protected security robot based risk management system in the workplace.
RESULTS: The experimental results show that the proposed AHRCM method achieves high performance in human-robot mutual adaption and reduce the risk.
CONCLUSION: Through an experiment in the field of human subjects, demonstrated that policies based on the proposed model improved the efficiency of the human-robot team significantly compared with policies assuming complete human-robot adaptation.

Matched MeSH terms: Robotics