| This paper addresses trajectory planning for a robot subject to dynamic constraints and moving in a dynamic workspace. A car-like robot A with bounded velocity and acceleration, moving in a dynamic two-dimensional workspace is considered. The solution proposed is an extension of the path-velocity decomposition which is a practical way to address trajectory planning in dynamic workspaces. Howe...

1. Background of the Study This paper introduces a solution methodology for the transit (bus) route network problem for a sample city with available PT data. Several methodologies, in varying sophistications, have been developed to generate route sets for transit routing; however, these solutions appear viable only in virtual networks, where nodes and links are characterized to allow for shorte...

Motivated by Google Sets, we study the problem of growing related words from a single seed word by leveraging user behaviors hiding in user records of Chinese input method. Our proposed method is motivated by the observation that the more frequently two words cooccur in user records, the more related they are. First, we utilize user behaviors to generate candidate words. Then, we utilize search...

Association rule mining is used to find association relationships among large data sets. Mining frequent patterns is an importantaspect in association rule mining. In this paper, an algorithm named Apriori-Growth based on Apriori algorithm and the FP-tree structure is presented to mine frequent patterns. The advantage of the Apriori-Growth algorithm is that it doesn’t need to generate condition...

methylated and un-methylated control dna is an important part of dna methylation studies. although human and mouse dna methylation control sets are commercially available, in case of methylation studies on other species such as animals, plants, and bacteria, control sets need to be prepared. in this paper a simple method of generating methylated and un-methylated control dna is described. whole...

We propose a verb suggestion method which uses candidate sets and domain adaptation to incorporate error patterns produced by ESL learners. The candidate sets are constructed from a large scale learner corpus to cover various error patterns made by learners. Furthermore, the model is trained using both a native corpus and the learner corpus via a domain adaptation technique. Experiments on two ...

Connected zones of high hydraulic conductivity in subsurface environments can constitute preferential pathways for contaminant transport and fluid flow. The identification of such pathways is important for well head protection, groundwater monitoring and capture system design for groundwater remediation. Since it is not practical to exhaustively sample the subsurface, the existence and probable...

Background: Prisoners, compared to the general population, are at greater risk of infection. Drug injection is the main route of HIV transmission, in particular in Iran. What would be of interest is to determine variables that govern drug injection among prisoners. However, one of the issues that challenge model building is incomplete national data sets. In this paper, we addressed the process ...

A number of approaches have been proposed to automatically generate test data to traverse a given path in a program. In this paper, we present a program execution based approach to generate test data for a given path. The technique derives a desired input for a test path by iteratively reening an arbitrarily chosen input. A set of linear constraints on the increments to the input are derived to...

This paper presents LQG-MP (linear-quadratic Gaussian motion planning), a new approach to robot motion planning that takes into account the sensors and the controller that will be used during execution of the robot’s path. LQGMP is based on the linear-quadratic controller with Gaussian models of uncertainty, and explicitly characterizes in advance (i.e., before execution) the a-priori probabili...