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Search Results: 1 - 10 of 140135 matches for " Chai K. Chiew "
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Simulation of Integrated Pressurized Steam Gasification of Biomass for Hydrogen Production using iCON
Murni M. Ahmad,Chai K. Chiew,Abrar Inayat,Suzana Yusup
Journal of Applied Sciences , 2011,
Abstract: Energy in the form of biomass has been used to produce heat, electricity, steam and petrochemicals due to the zero net carbon emission. With regards to the environmental concerns, hydrogen offers a competitive edge over the fossil fuel as an alternative clean energy. Currently, production of hydrogen from biomass using a pressurized system is not being extensively analyzed and developed. Thus, process and flowsheet development of pressurized gasification process of biomass coupled with carbon dioxide adsorption for hydrogen production were investigated using a PETRONAS iCON simulation model. The effect of parameters such as pressure, temperature and steam/biomass ratio on the hydrogen yield was investigated. Hydrogen yield was predicted to be increasing with pressure, temperature and steam/biomass ratio in this high pressure gasification system.
What Does a First Order Model Tell Us about PEEP Wave Maneuvers?  [PDF]
B. Laufer, J. Kretschmer, P. D. Docherty, Y. S. Chiew, K. M?ller
Journal of Biomedical Science and Engineering (JBiSE) , 2017, DOI: 10.4236/jbise.2017.105B008
Abstract:
Patients with acute respiratory distress syndrome (ARDS) are currently treated with a lung protective ventilation strategy and the application of positive end-expiratory pressure (PEEP), sometimes in combination with recruitment maneuvers. In this study, the respiratory system elastance and airway resistance of each breath before, during and after a specific recruitment maneuver (PEEP wave maneuver) were analyzed in two patient groups, ARDS and control group. A reduction of elastance after the maneuver was observed in ARDS patients. In addition, only healthy lungs exhibited a reduction of the elastance during the course of the maneuver, while the lungs of ARDS patients didn’t show that reduction of elastance. The capability of PEEP wave maneuvers to improve lung ventilation was shown and the dynamic behavior of the elastance after the maneuver was illustrated. Healthy lungs adapt faster to changes in mechanical ventilation than the lungs of ARDS patients.
Proboscis lateralis: Comments
Chai K
Indian Journal of Plastic Surgery , 2003,
Abstract:
Eclipse Impact on a Remote Sensing Data Set: PAL NDVI 10-Day Composite from February 11 to 20 in 1999 for Western Australia
Chai K. Lim
Remote Sensing , 2010, DOI: 10.3390/rs2081962
Abstract: Pathfinder Normalized Difference Vegetation Index (NDVI) derived from Channel 1 (Red) and Channel 2 (near-infrared) of Advanced Very High Resolution Radiometer (AVHRR) onboard NOAA 14 became abnormally high for the 10-day composite from February 11 to 20 in 1999 for Western Australia. There was a solar eclipse in the satellite path on February 16 about the same time when NOAA 14 was above the eclipse location, causing the Channel 1 value to be 0 in many cells. The NDVI composite updating rule was to capture the greenest condition of each composite period. There seems to have been a possible lack of quality control during the NDVI composite generation, which could have caused the abnormally high NDVI values. However, there were some cells within the affected area that had values close to normal for NDVI as well as Channel 1 and Channel 2. The abnormal NDVI data values could have been avoided by not using the data obtained during the eclipse in the generation of the composite. Further investigation on those cells which were not affected by the eclipse is suggested for a better quality control of remote sensing data obtained during eclipse occurrences.
Synthesis, Characterization and Performance Evaluation of an Advanced Solid Electrolyte and Air Cathode for Rechargeable Lithium-Air Batteries  [PDF]
Susanta K. Das, Jianfang Chai, Salma Rahman, Abhijit Sarkar
Journal of Materials Science and Chemical Engineering (MSCE) , 2016, DOI: 10.4236/msce.2016.41012
Abstract:

Synthesis and characterization of a tri-layered solid electrolyte and oxygen permeable solid air cathode for lithium-air battery cells were carried out in this investigation. Detailed fabrication procedures for solid electrolyte, air cathode and real-world lithium-air battery cell are described. Materials characterizations were performed through FTIR and TGA measurement. Based on the experimental four-probe conductivity measurement, it was found that the tri-layered solid electrolyte has a very high conductivity at room temperature, 23C, and it can be reached up to 6 times higher at 100C. Fabrication of real-world lithium-air button cells was performed using the synthesized tri-layered solid electrolyte, an oxygen permeable air cathode, and a metallic lithium anode. The lithium-air button cells were tested under dry air with 0.1 mA - 0.2 mA discharge/ charge current at elevated temperatures. Experimental results showed that the lithium-air cell performance is very sensitive to the oxygen concentration in the air cathode. The experimental results also revealed that the cell resistance was very large at room temperature but decreased rapidly with increasing temperatures. It was found that the cell resistance was the prime cause to show any significant discharge capacity at room temperature. Experimental results suggested that the lack of robust interfacial contact among solid electrolyte, air cathode and lithium metal anode were the primary factors for the cell’s high internal resistances. It was also found that once the cell internal resistance issues were resolved, the discharge curve of the battery cell was much smoother and the cell was able to discharge at above 2.0 V for up to 40 hours. It indicated that in order to have better performing lithium-air battery cell, interfacial contact resistances issue must have to be resolved very efficiently.

Class-based Rough Approximation with Dominance Principle
Junyi Chai,James N. K. Liu
Computer Science , 2011,
Abstract: Dominance-based Rough Set Approach (DRSA), as the extension of Pawlak's Rough Set theory, is effective and fundamentally important in Multiple Criteria Decision Analysis (MCDA). In previous DRSA models, the definitions of the upper and lower approximations are preserving the class unions rather than the singleton class. In this paper, we propose a new Class-based Rough Approximation with respect to a series of previous DRSA models, including Classical DRSA model, VC-DRSA model and VP-DRSA model. In addition, the new class-based reducts are investigated.
An Ontology-driven Framework for Supporting Complex Decision Process
Junyi Chai,James N. K. Liu
Computer Science , 2011,
Abstract: The study proposes a framework of ONTOlogy-based Group Decision Support System (ONTOGDSS) for decision process which exhibits the complex structure of decision-problem and decision-group. It is capable of reducing the complexity of problem structure and group relations. The system allows decision makers to participate in group decision-making through the web environment, via the ontology relation. It facilitates the management of decision process as a whole, from criteria generation, alternative evaluation, and opinion interaction to decision aggregation. The embedded ontology structure in ONTOGDSS provides the important formal description features to facilitate decision analysis and verification. It examines the software architecture, the selection methods, the decision path, etc. Finally, the ontology application of this system is illustrated with specific real case to demonstrate its potentials towards decision-making development.
A Novel Multicriteria Group Decision Making Approach With Intuitionistic Fuzzy SIR Method
Junyi Chai,James N. K. Liu
Computer Science , 2011,
Abstract: The superiority and inferiority ranking (SIR) method is a generation of the well-known PROMETHEE method, which can be more efficient to deal with multi-criterion decision making (MCDM) problem. Intuitionistic fuzzy sets (IFSs), as an important extension of fuzzy sets (IFs), include both membership functions and non-membership functions and can be used to, more precisely describe uncertain information. In real world, decision situations are usually under uncertain environment and involve multiple individuals who have their own points of view on handing of decision problems. In order to solve uncertainty group MCDM problem, we propose a novel intuitionistic fuzzy SIR method in this paper. This approach uses intuitionistic fuzzy aggregation operators and SIR ranking methods to handle uncertain information; integrate individual opinions into group opinions; make decisions on multiple-criterion; and finally structure a specific decision map. The proposed approach is illustrated in a simulation of group decision making problem related to supply chain management.
Towards a Reliable Framework of Uncertainty-Based Group Decision Support System
Junyi Chai,James N. K. Liu
Computer Science , 2011, DOI: 10.1109/ICDMW.2010.80
Abstract: This study proposes a framework of Uncertainty-based Group Decision Support System (UGDSS). It provides a platform for multiple criteria decision analysis in six aspects including (1) decision environment, (2) decision problem, (3) decision group, (4) decision conflict, (5) decision schemes and (6) group negotiation. Based on multiple artificial intelligent technologies, this framework provides reliable support for the comprehensive manipulation of applications and advanced decision approaches through the design of an integrated multi-agents architecture.
Diabetic cardiomyopathy—What do we know about it?  [PDF]
Muhammad Asrar ul Haq, Vivek Mutha, Nima Rudd, Chiew Wong
World Journal of Cardiovascular Diseases (WJCD) , 2013, DOI: 10.4236/wjcd.2013.35A005
Abstract: Diabetic cardiomyopathy is defined as the presence of myocardial dysfunction in patients with diabetes in the absence of coronary artery disease, hypertension, or other known cardiac disease. Diabetes has been shown to affect the heart through various cellular mechanisms leading to enhanced myocardial fibrosis, left ventricular hypertrophy, systolic and diastolic dysfunction. With increasing incidence of type II diabetes mellitus, it has continuously rising health and financial implications in both developed and developing countries. Hyperglycaemia seems to be the main deriving force, and careful glycaemic control as well as early administration of neurohormonal antagonists currently remains the mainstay of therapy. Many newer treatment targets are currently being explored. Here we present a brief review of its pathophysiology, association with heart failure symptoms, and management strategies.

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