Amino Acid Pop-Set:
Model File Name: Amino-Acid-Wgrp-Pop_Sc3.Stl,
2018
University of Nebraska - Lincoln
Amino Acid Pop-Set: Model File Name: Amino-Acid-Wgrp-Pop_Sc3.Stl, Michelle Howell, Rebecca Roston
3-D Printed Model Structural Files
This is a teaching model for protein primary structure. It consists of four amino acids (tryptophan, proline, arginine, and glycine) depicted in stick and space-fill representations, five peptide bonds depicted in space-fill, and an N-terminus and a C-terminus depicted in space-fill. It is designed so that students can make various peptides to explore the amount of space of the electron clouds of the amino acids and bonds, and explore the psi and phi angles for the peptides. The printable model is already uploaded to Shapeways.com in the MacroMolecules shop under the name “Amino acid pop-set”. This model has …
Lipoprotein Signal Peptidase Ii:
Model File Name: 5dir-Lipoii-Reps_Sc1-5.Stl,
2018
University of Nebraska - Lincoln
Lipoprotein Signal Peptidase Ii: Model File Name: 5dir-Lipoii-Reps_Sc1-5.Stl, Michelle Howell, Rebecca Roston
3-D Printed Model Structural Files
This is a teaching model of lipoprotein signal peptidase II (PDB: 5DIR). It is designed with different regions of the protein depicted in space-filling, ribbon, stick, and backbone-only representations to explore protein secondary structure and illustrate how much space the protein takes up. The printable model is already uploaded to Shapeways.com in the MacroMolecules shop under the name “Lipoprotein signal peptidase II” and is intended to accompany the “Crambin”, “Cytochrome c” and “3 water molecules” models. This model has been printed successfully using these parameters on Shapeways’ laser sintering printer in …
3 Water Molecules:
Model File Name: 3hoh-Final.Stl,
2018
University of Nebraska - Lincoln
3 Water Molecules: Model File Name: 3hoh-Final.Stl, Michelle Howell, Rebecca Roston
3-D Printed Model Structural Files
This is a teaching model of 3 water molecules depicted in space-fill. It is designed to the same scale as the “Lipoprotein signal peptidase II”, “Crambin”, and “Cytochrome c” models to illustrate the amount of space taken up by proteins. The printable model is already uploaded to Shapeways.com in the MacroMolecules shop under the name “3 water molecules” and is intended to accompany the “Lipoprotein signal peptidase II”, “Crambin”, and “Cytochrome c” models. This model has been printed successfully using these parameters on Shapeways’ laser sintering …
Crambin:
Model File Name: 2fd7-Crambin-Stick_Sc1-5.Stl,
2018
University of Nebraska - Lincoln
Crambin: Model File Name: 2fd7-Crambin-Stick_Sc1-5.Stl, Michelle Howell, Rebecca Roston
3-D Printed Model Structural Files
This is a teaching model of cytochrome c (PDB: 2FD7). It is designed in a stick representation to explore protein secondary structure and how much space the protein takes up. The printable model is already uploaded to Shapeways.com in the MacroMolecules shop under the name “Crambin” and is intended to accompany the “Lipoprotein signal peptidase II”, “Cytochrome c”, and “3 water molecules” models. This model has been printed successfully using these parameters on Shapeways’ laser sintering printer in the following material: Processed Versatile Plastic (Strong & Flexible Plastic).
Cytochrome C: Model File Name: 1b7v-Cytc-Stick_Sc1-5.Stl,
2018
University of Nebraska - Lincoln
Cytochrome C: Model File Name: 1b7v-Cytc-Stick_Sc1-5.Stl, Michelle Howell, Rebecca Roston
3-D Printed Model Structural Files
This is a teaching model of cytochrome c (PDB: 1B7V). It is designed in a stick representation to explore protein secondary structure and how much space the protein takes up. The printable model is already uploaded to Shapeways.com in the MacroMolecules shop under the name “Cytochrome c” and is intended to accompany the “Lipoprotein signal peptidase II”, “Crambin”, and “3 water molecules” models. This model has been printed successfully using these parameters on Shapeways’ laser sintering printer in the following material: Processed Versatile Plastic (Strong & Flexible Plastic).
The Design Of An Emerging/Multi-Paradigm Programming Languages Course,
2018
University of Dayton
The Design Of An Emerging/Multi-Paradigm Programming Languages Course, Saverio Perugini
Computer Science Faculty Publications
We present the design of a new special topics course, Emerging/Multi-paradigm Languages, on the recent trend toward more dynamic, multi-paradigm languages. To foster course adoption, we discuss the design of the course, which includes language presentations/papers and culminating, inal projects/papers. The goal of this article is to inspire and facilitate course adoption.
Developing A Contemporary Operating Systems Course,
2018
University of Dayton
Developing A Contemporary Operating Systems Course, Saverio Perugini, David J. Wright
Computer Science Faculty Publications
The objective of this tutorial presentation is to foster innovation in the teaching of operating systems (os) at the undergraduate level as part of a three-year NSF-funded IUSE (Improving Undergraduate STEM Education) project titled “Engaged Student Learning: Reconceptualizing and Evaluating a Core Computer Science Course for Active Learning and STEM Student Success” (2017–2020).
Chameleon: A Customizable Language For Teaching Programming Languages,
2018
University of Dayton
Chameleon: A Customizable Language For Teaching Programming Languages, Saverio Perugini, Jack L. Watkin
Computer Science Faculty Publications
ChAmElEoN is a programming language for teaching students the concepts and implementation of computer languages. We describe its syntax and semantics, the educational aspects involved in the implementation of a variety of interpreters for it, its malleability, and student feedback to inspire its use for teaching languages.
An Application Of The Actor Model Of Concurrency In Python: A Euclidean Rhythm Music Sequencer,
2018
University of Dayton
An Application Of The Actor Model Of Concurrency In Python: A Euclidean Rhythm Music Sequencer, Daniel P. Prince, Saverio Perugini
Computer Science Faculty Publications
We present a real-time sequencer, implementing the Euclidean rhythm algorithm, for creative generation of drum sequences by musicians or producers. We use the Actor model of concurrency to simplify the communication required for interactivity and musical timing, and generator comprehensions and higher-order functions to simplify the implementation of the Euclidean rhythm algorithm. The resulting application sends Musical Instrument Digital Interface (MIDI) data interactively to another application for sound generation.
Knowledge-Aware Multimodal Fashion Chatbot,
2018
Singapore Management University
Knowledge-Aware Multimodal Fashion Chatbot, Lizi Liao, You Zhou, Yunshan Ma, Richang Hong, Tat-Seng Chua
Research Collection School Of Computing and Information Systems
Multimodal fashion chatbot provides a natural and informative way to fulfill customers’ fashion needs. However, making it ‘smart’ in generating substantive responses remains a challenging problem. In this paper, we present a multimodal domain knowledge enriched fashion chatbot. It forms a taxonomy-based learning module to capture the fine-grained semantics in images and leverages an endto-end neural conversational model to generate responses based on the conversation history, visual semantics, and domain knowledge. To avoid inconsistent dialogues, deep reinforcement learning method is used to further optimize the model.
Predicting Visual Context For Unsupervised Event Segmentation In Continuous Photo-Streams,
2018
Singapore Management University
Predicting Visual Context For Unsupervised Event Segmentation In Continuous Photo-Streams, Ana García Del Molino, Joo-Hwee Lim, Ah-Hwee Tan
Research Collection School Of Computing and Information Systems
Segmenting video content into events provides semantic structures for indexing, retrieval, and summarization. Since motion cues are not available in continuous photo-streams, and annotations in lifelogging are scarce and costly, the frames are usually clustered into events by comparing the visual features between them in an unsupervised way. However, such methodologies are ineffective to deal with heterogeneous events, e.g. taking a walk, and temporary changes in the sight direction, e.g. at a meeting. To address these limitations, we propose Contextual Event Segmentation (CES), a novel segmentation paradigm that uses an LSTM-based generative network to model the photo-stream sequences, predict their …
Disruptive Technology: Can The Banking Industry Harness Disruption For Competitive Edge?,
2018
Singapore Management University
Disruptive Technology: Can The Banking Industry Harness Disruption For Competitive Edge?, Edgar Low
MITB Thought Leadership Series
Disruptive innovation was identified as a phenomenon more than two decades ago by prominent Harvard scholar Clayton Christensen. So you may wonder why established industries are only now waking up to the prospect of digital transformation - the banking industry in particular.
Mixed-Reality For Object-Focused Remote Collaboration,
2018
Singapore Management University
Mixed-Reality For Object-Focused Remote Collaboration, Martin Feick, Anthony Tang, Scott Bateman
Research Collection School Of Computing and Information Systems
In this paper we outline the design of a mixed-reality system to support object-focused remote collaboration. Here, being able to adjust collaborators' perspectives on the object as well as understand one another's perspective is essential to support effective collaboration over distance. We propose a low-cost mixed-reality system that allows users to: (1) quickly align and understand each other's perspective; (2) explore objects independently from one another, and (3) render gestures in the remote's workspace. In this work, we focus on the expert's role and we introduce an interaction technique allowing users to quickly manipulation 3D virtual objects in space.
Geometry-Aware Similarity Learning On Spd Manifolds For Visual Recognition,
2018
Singapore Management University
Geometry-Aware Similarity Learning On Spd Manifolds For Visual Recognition, Zhiwu Huang, R. Wang, X. Li, W. Liu, S. Shan, Gool L. Van, X Chen
Research Collection School Of Computing and Information Systems
Symmetric positive definite (SPD) matrices have been employed for data representation in many visual recognition tasks. The success is mainly attributed to learning discriminative SPD matrices encoding the Riemannian geometry of the underlying SPD manifolds. In this paper, we propose a geometry-aware SPD similarity learning (SPDSL) framework to learn discriminative SPD features by directly pursuing a manifold-manifold transformation matrix of full column rank. Specifically, by exploiting the Riemannian geometry of the manifolds of fixed-rank positive semidefinite (PSD) matrices, we present a new solution to reduce optimization over the space of column full-rank transformation matrices to optimization on the PSD manifold, …
Deep Understanding Of Cooking Procedure For Cross-Modal Recipe Retrieval,
2018
City University of Hong Kong
Deep Understanding Of Cooking Procedure For Cross-Modal Recipe Retrieval, Jingjing Chen, Chong-Wah Ngo, Fu-Li Feng, Tat-Seng Chua
Research Collection School Of Computing and Information Systems
Finding a right recipe that describes the cooking procedure for a dish from just one picture is inherently a difficult problem. Food preparation undergoes a complex process involving raw ingredients, utensils, cutting and cooking operations. This process gives clues to the multimedia presentation of a dish (e.g., taste, colour, shape). However, the description of the process is implicit, implying only the cause of dish presentation rather than the visual effect that can be vividly observed on a picture. Therefore, different from other cross-modal retrieval problems in the literature, recipe search requires the understanding of textually described procedure to predict its …
Human Hexokinase I - Allosteric Regulation:
Model File Name: 1dgk-Editb22-Allostery_Sc06.Stl,
2018
University of Nebraska - Lincoln
Human Hexokinase I - Allosteric Regulation: Model File Name: 1dgk-Editb22-Allostery_Sc06.Stl, Michelle Howell, Rebecca Roston
3-D Printed Model Structural Files
This is a teaching model of human Hexokinase I in a surface representation with small molecules ADP and G6P included (PDB: 1DGK). It is designed to be hollow with a lever to mimic allosteric regulation. The printable model is already uploaded to Shapeways.com in the MacroMolecules shop under the name “Human Hexokinase I - Allosteric regulation model”. This model has been printed successfully using these parameters on Shapeways’ laser sintering printer in the following material: Processed Versatile Plastic (Strong & Flexible Plastic).
A Vector Field Design Approach To Animated Transitions,
2018
Singapore Management University
A Vector Field Design Approach To Animated Transitions, Yong Wang, Daniel Archambault, Carlos E. Scheidegger, Huamin Qu
Research Collection School Of Computing and Information Systems
Animated transitions can be effective in explaining and exploring a small number of visualizations where there are drastic changes in the scene over a short interval of time. This is especially true if data elements cannot be visually distinguished by other means. Current research in animated transitions has mainly focused on linear transitions (all elements follow straight line paths) or enhancing coordinated motion through bundling of linear trajectories. In this paper, we introduce animated transition design, a technique to build smooth, non-linear transitions for clustered data with either minimal or no user involvement. The technique is flexible and simple to …
Wasserstein Divergence For Gans,
2018
Singapore Management University
Wasserstein Divergence For Gans, J. Wu, Zhiwu Huang, J. Thoma, D. Acharya, Gool L. Van
Research Collection School Of Computing and Information Systems
In many domains of computer vision, generative adversarial networks (GANs) have achieved great success, among which the family of Wasserstein GANs (WGANs) is considered to be state-of-the-art due to the theoretical contributions and competitive qualitative performance. However, it is very challenging to approximate the k-Lipschitz constraint required by the Wasserstein-1 metric (W-met). In this paper, we propose a novel Wasserstein divergence (W-div), which is a relaxed version of W-met and does not require the k-Lipschitz constraint. As a concrete application, we introduce a Wasserstein divergence objective for GANs (WGAN-div), which can faithfully approximate W-div through optimization. Under various settings, including …
Principles And Guidelines For Advancement Of Touchscreen-Based Non-Visual Access To 2d Spatial Information,
2018
University of Maine
Principles And Guidelines For Advancement Of Touchscreen-Based Non-Visual Access To 2d Spatial Information, Hari Prasath Palani
Electronic Theses and Dissertations
Graphical materials such as graphs and maps are often inaccessible to millions of blind and visually-impaired (BVI) people, which negatively impacts their educational prospects, ability to travel, and vocational opportunities. To address this longstanding issue, a three-phase research program was conducted that builds on and extends previous work establishing touchscreen-based haptic cuing as a viable alternative for conveying digital graphics to BVI users. Although promising, this approach poses unique challenges that can only be addressed by schematizing the underlying graphical information based on perceptual and spatio-cognitive characteristics pertinent to touchscreen-based haptic access. Towards this end, this dissertation empirically identified a …
Discrete Information Object Analysis Of Primary Flight Display Clutter,
2018
Embry-Riddle Aeronautical University
Discrete Information Object Analysis Of Primary Flight Display Clutter, Kenneth Ward
National Training Aircraft Symposium (NTAS)
Modern aircraft utilize digital display screens to provide critical flight and system status information to pilots. As computing power has increased, the number of data sources and information presented has also increased, with the goal of increasing situational awareness. However, the display can become cluttered with extraneous or irrelevant information, to the detriment of pilot cognitive workload. Pilot perceptions of clutter vary with flight experience, introducing unique considerations in the flight training environment, given the experience difference between instructors and students. Researchers have studied the problem, identifying both the number of visual objects and information density as predictors of perception …
