We present guidelines for assessing the performance of nonquantitative (qualitative) assay methods. Criteria to be evaluated include analytical sensitivity, imprecision near limits of detection, analytical specificity, accuracy over a wide range of analyte concentrations, potential interferents, and technical ease of performance. A protocol was developed to evaluate several nonquantitative assa...

automatic road extraction from aerial images can be very helpful in traffic control and vehicle guidance systems. most of the road detection approaches are based on image segmentation algorithms. color-based segmentation is very sensitive to light changes and consequently the change of weather condition affects the recognition rate of road detection systems. in order to reduce the light change ...

this paper demonstrates design and fabrication o f a mechatronic system for human drowsiness detection. this system can be used in multiple places. for example, in factories, it is used on some dangerous machinery and in cars in order t o prevent the operator o r driver from falling asleep. this system is composed of three parts: (1) mechanical, (2) electrical and (3) image processing system. a...

In this paper we present a framework for determining the intersection of geometric objects based on the 9-Intersection model used in qualitative spatial reasoning. Triangle-triangle intersection is the computational basis for interaction between 2D/3D objects; hence a fast, robust intersection detection algorithm is beneficial. Additionally, we present efficient predicates for classification of...

The facility of ion beam laboratory at Kochi University of Technology (KUT) has been extended by installing the Particle Induced X-ray Emission (PIXE) technique, in order to provide qualitative and quantitative elemental analysis and in-air micro-PIXE analysis. This paper is a description of PIXE setup and its application in biological sample for qualitative elemental analysis. The energy calib...

......................................................................................... iii List of Figures ........................................................................................ vii Acknowledgement ....................................................................................ix Dedication ...................................................................................

The study focused on the machine learning analysis approaches to identify the adulteration of 9 kinds of edible oil qualitatively and answered the following three questions: Is the oil sample adulterant? How does it constitute? What is the main ingredient of the adulteration oil? After extracting the highperformance liquid chromatography (HPLC) data on triglyceride from 370 oil samples, we appl...

This work introdurrs an approach to build a quatitative description of scemes dong a roate, which is used in routc recognition by a mobile robot. The description consists of a series of Landmarks eutonomowly selected by the robot from a Panurantic View. which has been generated as a visual memory of scenes along routes. The h i e idea lo bridge the quantitative panoramic view to qualitative lan...

This research concerns the exploitation of linguistic context in vision. Linguistic context is qualitative in nature and is obtained dynamically. We view this as a new paradigm which is a golden mean between data driven object detection and site-model based vision. Our solution not only proposes new techniques for using qualitative contextual information, but also efficiently exploits existing ...

In this paper, we propose a new compression method for electroencephalographic signals based on the concept of compressed sensing (CS) for the P300 detection spelling paradigm. The method uses a universal mega-dictionary which has been found not to be patient-specific. To validate the proposed method, electroencephalography recordings from the competition for Spelling, BCI Competition III Chall...