Monocular depth has been found using estimation, closed-form solution and learning techniques. Estimation and closed-form solution compute the depth from motion, while learning techniques calculate the depth using a single image with a depth map as a supervisor. This paper presents a new closed form solution for monocular depth from motion. The proposed method builds on the notation that an int...

This paper introduces a method for measuring odometry errors in mobile robots and for expressing these errors quantitatively. When measuring odometry errors, one must distinguish between (1) systematic errors, which are caused by kinematic imperfections of the mobile robot (for example, unequal wheel-diameters), and (2) non-systematic errors, which may be caused by wheel-slippage or irregularit...

Methane (CH4) is the major component of natural gas, a potent greenhouse and precursor for formation tropospheric ozone. Sizable CH4 releases can occur during gas extraction, distribution, use, thus, detection control leaks help to reduce emissions. This study develops, refines, tests algorithms detecting peaks estimating background levels using mobile monitoring, an approach that has been used...

This paper presents an overview of the ImageCLEF 2013 lab. Since its first edition in 2003, ImageCLEF has become one of the key initiative promoting the benchmark evaluation of algorithms for the cross-language annotation and retrieval of images in various domains, from public and personal photo collections to medical images, to data acquired by mobile robot platforms to botanic collections. Ov...

This paper provides a detailed description of a set of algorithms to efficiently manipulate 3D geometric models to compute physical constraints and range observation models, data that is usually required in real-time mobile robotics or simulation. Our approach uses a standard file format to describe the environment and processes the model using the openGL library, a widely-used programming inte...

Application energy consumption has become an increasingly important issue for both high-end microprocessors and mobile and embedded devices. A multitude of circuit and architecture-level techniques have been developed to improve application energy efficiency. However, relatively less work studies the effects of compiler transformations in terms of application energy efficiency. In this paper, w...

The aim of this paper is to develop a rapid, and highly sensitive quantitative HPLC fingerprint method with multiple indicators by using the Compound Chinese Medicine Wuwei Changyanning granule and 5 herbs in the prescription. The quantitative fingerprint chromatogram with multiple indicators was investigated. ⅰ)6 compositions included rutin, gallic acid, chlorogenic acid, atractylenolideⅠ, pac...

The construction industry is generally considered to have under performed compared to other industries. Not only that, the UK construction industry has been criticised for not performing at the same level as that of other developed countries. In relation to this, the UK working groups on Key Performance Indicators (KPIs) have identified ten parameters for benchmarking projects, in order to achi...

This work proposes an attempt to control the navigation of a wall following mobile robot using a hybrid metaheuristic which is a combination of two different population-based heuristics such as Gravitational Search (GS) and Particle Swarm Optimization (PSO). The hybrid metaheuristic is called GSPSO which is used to train a multi-layered Artificial Neural Network (ANN) with the available benchma...