Showing 2731 - 2740 of 5708 Items

Bowdoin Orient, v. 46, no. 6

Date: 1916-05-16

Access: Open access

Text


Bowdoin Orient, v. 43, no. 2

Date: 1913-04-15

Access: Open access

Text


Bowdoin Orient, v. 44, no. 11

Date: 1914-06-25

Access: Open access

Text


Bowdoin Orient, v. 20, no. 10

Date: 1890-11-26

Access: Open access



Bowdoin Orient, v. 2, no. 15

Date: 1873-03-10

Access: Open access



Bowdoin Orient, v. 24, no. 11

Date: 1894-12-19

Access: Open access



Miniature of Characterization of Bacterial Glycosylation Pathways with Fluorescent Monosaccharide Probes
Characterization of Bacterial Glycosylation Pathways with Fluorescent Monosaccharide Probes
Access to this record is restricted to members of the Bowdoin community. Log in here to view.

      Date: 2023-01-01

      Creator: Lucas John DiCerbo

      Access: Access restricted to the Bowdoin Community



        Miniature of Developing methods of transient absorption spectroscopy for the study of triplet state photoacids
        Developing methods of transient absorption spectroscopy for the study of triplet state photoacids
        Access to this record is restricted to members of the Bowdoin community. Log in here to view.

            Date: 2023-01-01

            Creator: Jack R Callahan

            Access: Access restricted to the Bowdoin Community



              Robot Detection Using Gradient and Color Signatures

              Date: 2016-05-01

              Creator: Megan Marie Maher

              Access: Open access

              Tasks which are simple for a human can be some of the most challenging for a robot. Finding and classifying objects in an image is a complex computer vision problem that computer scientists are constantly working to solve. In the context of the RoboCup Standard Platform League (SPL) Competition, in which humanoid robots are programmed to autonomously play soccer, identifying other robots on the field is an example of this difficult computer vision problem. Without obstacle detection in RoboCup, the robotic soccer players are unable to smoothly move around the field and can be penalized for walking into another robot. This project aims to use gradient and color signatures to identify robots in an image as a novel approach to visual robot detection. The method, "Fastgrad", is presented and analyzed in the context of the Bowdoin College Northern Bites codebase and then compared to other common methods of robot detection in RoboCup SPL.


              Bowdoin Orient, v. 40, no. 13

              Date: 1910-10-14

              Access: Open access

              Text