FlyLimbTracker: An active contour based approach for leg segment tracking in unmarked, freely behaving Drosophila.

Understanding the biological underpinnings of movement and action requires the development of tools for quantitative measurements of animal behavior. Drosophila melanogaster provides an ideal model for developing such tools: the fly has unparalleled genetic accessibility and depends on a relatively compact nervous system to generate sophisticated limbed behaviors including walking, reaching, grooming, courtship, and boxing. Here we describe a method that uses active contours to semi-automatically track body and leg segments from video image sequences of unmarked, freely behaving D. melanogaster. We show that this approach yields a more than 6-fold reduction in user intervention when compared with fully manual annotation and can be used to annotate videos with low spatial or temporal resolution for a variety of locomotor and grooming behaviors. FlyLimbTracker, the software implementation of this method, is open-source and our approach is generalizable. This opens up the possibility of tracking leg movements in other species by modifications of underlying active contour models

Grain levels in English path curvature descriptions and accompanying iconic gestures

This paper confirms that the English verb system (similar to the Finnish, Dutch and Bulgarian verb systems [22], [17]) represents path curvature at three different grain levels: neutral path curvature, global path curvature and local path curvature. We show that the three-grain-level hypothesis makes it possible to formulate constraints on English sentence structure and makes it possible to define constructions in English that refer to path curvature. We furthermore demonstrate in an experiment that the proposed English lexicalization pattern regarding path curvature in tandem with the spatial information shown to English speakers correctly predicts their packaging of grain levels in iconic gestures. We conclude that the data studied confirm Nikanne and Van der Zee’s *22] three-grain-level hypothesis in relation to English and Kita and Özyürek’s [11] Interface Hypothesis in relation to gesture production

ImageNet Large Scale Visual Recognition Challenge

The ImageNet Large Scale Visual Recognition Challenge is a benchmark in object category classification and detection on hundreds of object categories and millions of images. The challenge has been run annually from 2010 to present, attracting participation from more than fifty institutions. This paper describes the creation of this benchmark dataset and the advances in object recognition that have been possible as a result. We discuss the challenges of collecting large-scale ground truth annotation, highlight key breakthroughs in categorical object recognition, provide a detailed analysis of the current state of the field of large-scale image classification and object detection, and compare the state-of-the-art computer vision accuracy with human accuracy. We conclude with lessons learned in the five years of the challenge, and propose future directions and improvements.Comment: 43 pages, 16 figures. v3 includes additional comparisons with PASCAL VOC (per-category comparisons in Table 3, distribution of localization difficulty in Fig 16), a list of queries used for obtaining object detection images (Appendix C), and some additional reference

Thematic Approach to Teaching Science in Kindergarten for Use with First and Second Language Students

Thematic Science units were established for the Wapato kindergarten in both Spanish and English. Approximately three hundred students are participants in the program for which this curriculum was designed. This study suggests how selected science objectives may be implemented using the thematic approach. Each theme contains a media resource list of Items available from the Wapato Primary Media Center and suggested activities which will help to integrate the science unit with other subject areas. The Intent of the curriculum design ls that children learn language and science naturally when they are developed in a meaningful context

A study towards the potentials of robotic technologies to decrease risk to personnel’s safety in Statnett

Background of the project Health, safety and the environment (HSE) is Statnett´s nr.1 priority and Statnett has a zero vision towards accidents. Unfortunately, Statnett and their entrepreneurs experience accidents each year. With an increasing activity level towards 2020, it is natural to estimate that the number of accidents will increase in line with the activity. It can therefore be interesting to study new technologies with high potential to reduce risk, if it is rapidly implemented. Goals There were three goals with this thesis. The first was to identify robotic technologies, available now or within a five-year period with potential for use in Statnett. The second goal was to identify dangerous operations performed by Statnett or Statnett´s entrepreneurs. The third goal was to provide a recommendation of which robotic technologies that can both execute the identified operations and reduce the risks of the operations. General information about the thesis This report was made as a master thesis at the end of a five-year study towards a Master's Degree in science at Norwegian University of Life Science(NMBU). The study was performed between January and May 2016, and represent 30 ECTS. The thesis is written under collaboration between Statnett and NMBU. Method This thesis is based on literature study, interviews, observations and data analysis. Results The main outcome was the following: • There are many types of robotic technologies with different abilities and potential for implementation in Statnett and Statnett´s entrepreneurs, all with a high level of technology readiness(TRL) or already in use. There are however limitations with every type of robotic technologies, e.g. many of the line suspended robotic devices have problems crossing suspension towers and there is actually only one that is supposedly able to cross dead-end towers. • There is no doubt that Statnett and their entrepreneurs perform dangerous operations. Many high risk operations are identified, but there are still reasons to believe that even more could be found. All of the identified operations contain different factors of risk. Some of the risk factors have led to tragic accidents ending with death or severe illness. The biggest identified risk factors are working with helicopter and working at height. • There are several robotic technologies with the possibility to both perform and reduce the risk of some of the dangerous operations identified in this thesis. Recommendation for further work Based on the robotic technology with the highest potential to both execute operations and reduce the operations risks, eleven technologies are recommended for further research and development towards permanent implementation in specific operations.Bakgrunn for prosjektet Helse, miljø og sikkerhet (HMS) er Statnetts topp prioritet. Statnett har en visjon om null ulykker, men opplever ulykker hvert år sammen med sine entreprenører. Frem mot 2020 er det planlagt økt aktivitet og det er derfor naturlig å anta at antall ulykker vil øke i takt med aktiviteten. Det kan derfor være interessant å se på ny teknologis mulighet til å redusere risiko, hvis det kan implementeres raskt. Mål: Oppgaven har tre mål. Det første er å identifisere robotteknologi tilgjengelig i dag eller innen en femårs periode med potensial for bruk i Statnett. Mål nummer to er å identifisere farlige operasjoner utført av Statnett eller deres entreprenører. Det siste målet er å gi en anbefaling av hvilken robotteknologi som har størst mulighet til å både utføre operasjonene samtidig som den kan redusere operasjonens risiko. Generell informasjon om oppgaven Oppgaven er skrevet som en masteroppgave i siste semester av et femårig masterstudie på Norges miljø- og biovitenskapelige universitet (NMBU). Oppgaven representerer 30 studiepoeng og er skrevet som et samarbeid mellom Statnett og NMBU. Metode Oppgaven er basert på litteratur, intervjuer, observasjoner og analyse av innsamlet data. Resultat Hovedresultatene var som følger: • Det er identifisert mange typer robotteknologi med forskjellige anvendelser og potensial for implementering hos Statnett og Statnetts entreprenører. Alle teknologiene var langt i utviklingen, høy ”technology readiness level” (TRL), eller var allerede i bruk. Det var like vell utfordringer med alle teknologiene, som f.eks. at få ”line suspended robotic devices” kan krysse bæremaster og at det faktisk bare er en som skal klare å krysse ankermaster. • Det er ingen tvil om at Statnett og deres entreprenører utfører farlige operasjoner. Det er identifisert mange høy risiko operasjoner, men det er fortsatt grunn til å tro at enda flere kan identifiseres ved et grundigere studium. Alle operasjonene inneholder forskjellige risikofaktorer og noen av risikofaktorene har ført til tragiske ulykker som har endt med død eller alvorlige skader. De største risikofaktorene er identifisert som bruk av helikopter og arbeid i høyden. • Det er identifisert flere robotteknologier med potensial for å både kunne utføre og redusere risikoen til noen av de identifiserte operasjonene. Anbefaling for videre arbeid Basert på den robotteknologien med høyest potensial for å bade utføre og redusere risikoen til noen av de identifiserte operasjonene er elleve teknologier anbefalt for videre arbeid.M-M

Montana Kaimin, December 4, 2003

Student newspaper of the University of Montana, Missoula.https://scholarworks.umt.edu/studentnewspaper/5823/thumbnail.jp