Engineering Commons^™

Developing Grounded Goals Through Instant Replay Learning, Lisa Meeden, Douglas S. Blank

Computer Science Faculty Research and Scholarship

This paper describes and tests a developmental architecture that enables a robot to explore its world, to find and remember interesting states, to associate these states with grounded goal representations, and to generate action sequences so that it can re-visit these states of interest. The model is composed of feed-forward neural networks that learn to make predictions at two levels through a dual mechanism of motor babbling for discovering the interesting goal states and instant replay learning for developing the grounded goal representations. We compare the performance of the model with grounded goal representations versus random goal representations, and find …

Investigating Diversity In Open Multiagent Team Formation, Pooja Ahuja

Department of Computer Science and Engineering: Dissertations, Theses, and Student Research

Team formation is the most rudimentary form of interactions in distributed AI and multiagent systems as it allows coherent collections of agents to work together in a beneficial manner towards a common goal of interest. Basically, individual expertise are assembled together in an additive fashion for accomplishing tasks together. A plethora of the related studies found in the literature often make several unrealistic assumptions such as coordination amongst the agents, or agents having knowledge of the whole environment, or agents and/or tasks are of the same kind, or a static environment setting. Against this background, we argue that there are …

Meng 3250: Mechanics Of Elastic Bodies—A Peer Review Of Teaching Project Benchmark Portfolio, Jinying Zhu

UNL Faculty Course Portfolios

This portfolio focuses on mechanics of materials (course title: Mechanics of Elastic Bodies), a sophomore level course taken primarily by civil engineering and architectural engineering majors on Omaha campus. It is a prerequisite for broad range of courses in mechanical, civil and agricultural engineering majors. This course studies the mechanics of solids with applications to science and engineering, including stress, strains and deformation in structural elements (axial, torsional and bending), shear and moment diagram for beams, and a brief introduction to material failure mechanisms.

This portfolio describes the teaching methods used to help students understand the fundamental knowledge about material …

Vdes J2325-5229 A Z = 2.7 Gravitationally Lensed Quasar Discovered Using Morphology-Independent Supervised Machine Learning, Fernanda Ostrovski, Richard G. Mcmahon, Andrew J. Connolly, Cameron A. Lemon, Matthew W. Auger, Manda Banerji, Johnathan M. Hung, Sergey E. Koposov, Christopher E. Lidman

Faculty of Engineering and Information Sciences - Papers: Part B

We present the discovery and preliminary characterization of a gravitationally lensed quasar with a source redshift z_s = 2.74 and image separation of 2.9 arcsec lensed by a foreground z_l = 0.40 elliptical galaxy. Since optical observations of gravitationally lensed quasars show the lens system as a superposition of multiple point sources and a foreground lensing galaxy, we have developed a morphology-independent multi-wavelength approach to the photometric selection of lensed quasar candidates based on Gaussian Mixture Models (GMM) supervised machine learning. Using this technique and gi multicolour photometric observations from the Dark Energy Survey (DES), near-IR JK photometry …

A Comparison Study For Supervised Machine Learning Models In Cancer Classification, Huaming Chen, Hong Zhao, Lei Wang, Jiangning Song, Jun Shen

Faculty of Engineering and Information Sciences - Papers: Part B

No abstract provided.

Lifelong Machine Learning With Adaptive Multi-Agent Systems, Nicolas R. Verstaevel, Jeremy Boes, Julien Nigon, Dorian D'Amico, Marie-Pierre Gleizes

SMART Infrastructure Facility - Papers

Sensors and actuators are progressively invading our everyday life as well as industrial processes. They form complex and pervasive systems usually called "ambient systems" or "cyber-physical systems". These systems are supposed to efficiently perform various and dynamic tasks in an ever-changing environment. They need to be able to learn and to self-adapt throughout their life, because designers cannot specify a priori all the interactions and situations they will face. These are strong requirements that push the need for lifelong machine learning, where devices can learn models and behaviours during their whole lifetime and are able to transfer them to perform …

Sbar: A Conceptual Framework To Support Learning Path Adaptation In Mobile Learning, Alva Hendi Muhammad, Jun Shen, Ghassan Beydoun, Dongming Xu

Faculty of Engineering and Information Sciences - Papers: Part B

No abstract provided.

Ontological Learner Profile Identification For Cold Start Problem In Micro Learning Resources Delivery, Geng Sun, Tingru Cui, Jun Shen, Dongming Xu, Ghassan Beydoun, Shiping Chen

Faculty of Engineering and Information Sciences - Papers: Part B

No abstract provided.

A Framework Of Mlaas For Facilitating Adaptive Micro Learning Through Open Education Resources In Mobile Environment, Geng Sun, Tingru Cui, Wanwu Guo, Shiping Chen, Jun Shen

Faculty of Engineering and Information Sciences - Papers: Part B

No abstract provided.

Creative Confidence In Organizational Knowledge Creation: A Synthesis Of The Literature, Elnaz Dario, Rafael Landaeta, Resit Unal, E.H. Ng. (Ed.), B. Nepal (Ed.), E. Schott (Ed.)

Engineering Management & Systems Engineering Faculty Publications

Creative confidence is a newly rising topic in the innovation study area. In a world where creativity has become a vital source of knowledge creation, not believing in one's own creative capacity could be a barrier. At the organizational level, many good ideas are disappearing before ever being written down or shared. Organizations may lose talented people who have great creative potential by either not giving them the opportunity to express their creative ideas or due to a lack of confidence from the employee side, in sharing these ideas. This paper will contribute to the research stream on the role …