Fabrication Of An Electronic Nose And Its Application For The Verification Of Eurycoma Longifolia Extracts [TP159.C46 I82 2007 f rb].

Hidung elekronik yang berasaskan penderia penimbang mikro hablur kuarza menggunakan etil selulosa, lipid (dioktil fosfat (DOP), trioktil metil ammonium klorida (TOMA), olil amina (OAm)) dan bahan fasa pegun kromatografi gas (Apiezon L (APZL),polipropilin glikol 1200 (PPG 1200), polietilina glikol 1000 (PEG 1000), polietilina glikol 4000 (PEG 4000), poli(bissanopropil-siloksana) (OV-275) dan dietilina glikolsuksinat (DEGS) sebagai membran penderia untuk menganalisis ekstrak daripada Eurycoma longifolia (Tongkat Ali) telah dibina. An electronic nose based on a quartz crystal microbalance array sensor using ethylcellulose (EC), lipids ((dioctyl phosphate (DOP), trioctyl methyl ammonium chloride (TOMA), oleyl amine (OAm)) and gas chromatography (GC) stationary phase materials ((Apiezon-L (APZ-L), polypropylene glycol 1200 (PPG 1200), polyethylene glycol 1000 (PEG 1000), polyethylene glycol 4000 (PEG 4000), poly(biscyanopropyl-siloxane) (OV-275) and diethylene glycol succinate (DEGS)) as sensing membrane for the analysis ofextracts of Eurycoma longifolia (Tongkat Ali) was develope

Fabrication Of An Electronic Nose And Its Application For The Verification Of Eurycoma Longifolia Extracts

An electronic nose based on a quartz crystal microbalance array sensor using ethyl cellulose (EC), lipids «dioetyl phosphate (DOP). triaetyl methyl ammonium chloride (TOMA), oleyl amine (OAm» and gas chromatography (GC) stationary phase materials «Apiezo

Pre-processing Technique for Wireless Capsule Endoscopy Image Enhancement

Wireless capsule endoscopy (WCE) is used to examine human digestive tract in order to detect abnormal area. However, it has been a challenging task to detect abnormal area such as bleeding due to poor quality and dark images of WCE. In this paper, pre-processing technique is introduced to ease classification of the bleeding area. Anisotropic contrast diffusion method is employed in our pre-processing technique as a contrast enhancement of the images. There is a drawback to the method proposed B. Li in which the quality of WCE image is degraded when the number of iteration increases. To solve this problem, variance is employed in our proposed method. To further enhance WCE image, Discrete Cosine Transform is used with anisotropic contrast diffusion. Experimental results show that both proposed contrast enhancement algorithm and sharpening WCE image algorithm provide better performance compared with B. Li’s algorithm since SDME and EBCM value is stable whenever number of iterations increases, and sharpness measurement using gradient and PSNR are both improved by 31.5% and 20.3% respectively

NOTION OF EXPLAINABLE ARTIFICIAL INTELLIGENCE - AN EMPIRICAL INVESTIGATION FROM A USER\u27S PERSPECTIVE

The growing attention on artificial intelligence-based decision-making has led to research interest in the explainability and interpretability of machine learning models, algorithmic transparency, and comprehensibility. This renewed attention on XAI advocates the need to investigate end user-centric explainable AI, due to the universal adoption of AI-based systems at the root level. Therefore, this paper investigates user-centric explainable AI from a recommendation systems context. We conducted focus group interviews to collect qualitative data on the recommendation system. We asked participants about the end users\u27 comprehension of a recommended item, its probable explanation and their opinion of making a recommendation explainable. Our finding reveals end users want a non-technical and tailor-made explanation with on-demand supplementary information. Moreover, we also observed users would like to have an explanation about personal data usage, detailed user feedback, authentic and reliable explanations. Finally, we proposed a synthesized framework that will include end users in the XAI development process

Development of a web-based modeling system using metadata concepts and databases

The execution of hydrodynamic models typically requires the management of large amounts of data and also utilizes considerable computational resources. Powerful and robust servers with extensive storage capabilities are therefore desirable for rapid execution of numerical simulations. Unfortunately, it is not always possible for an individual to afford the necessary facilities whereas a powerful central computer system can be the viable alternative to serve many clients. The simplest way for a client to communicate with the central simulation server is via the internet and through a web browser. This kind of simulation has been classified as web based simulation, or WBS. The main advantages of web based simulation include platform independent access and easy access from virtually anywhere. In this study the formal steps that need to be taken for adapting a legacy hydrodynamic code such that it can be used for large scale applications in a WBS environment is investigated. Standardized description of the hydrodynamic model data (metadata) that has been created using geographical information metadata, e.g. the ISO 19115:2003 standard is introduced. A formal specification of the simulation domain or ontology has been developed to share and retrieve this information unambiguously. Ontologies have been successfully applied in many fields requiring intensive data retrieval, efficient searching, or analyzing the domain knowledge. A simulation ontology is developed, which can be applied for analyses and future reuse of the simulation domain knowledge. The interface of the WBS environment has been developed based on the commonly used standard Model-View-Controller (MVC) architecture, which separates business logic from its presentation.Ph.D., Civil Engineering -- Drexel University, 200