scholarly journals Argus Vision: A Tracking Tool for Exhibition Designers

i-com ◽  
2019 ◽  
Vol 18 (1) ◽  
pp. 41-53
Author(s):  
Moritz Skowronski ◽  
Daniel Klinkhammer ◽  
Harald Reiterer
Keyword(s):  
Human Computer Interaction ◽  
Design Process ◽  
Real World ◽  
Interactive Media ◽  
Exhibition Design ◽  
Expert Interviews ◽  
Camera Tracking ◽  
Wide Range ◽  
Do It Yourself ◽  
Interactive Installations

Abstract Contemporary exhibitions are increasingly staged using extensive and often interactive media. To create such exhibitions, exhibition design companies employ professionals from a wide range of different disciplines. The support of interdisciplinary exhibition designers in the design process is one goal of research in Human-Computer Interaction. This includes the deployment of Do-It-Yourself (DIY) Tools that enable professionals from all disciplines involved to design and create interactive media themselves. In this paper, we will present Argus Vision, a DIY Tool, which allows exhibition designers the use of camera-tracking to rapidly prototype and develop immersive exhibitions and interactive installations. We successfully used Argus Vision in two real-world case studies both in the prototyping and in the deployment of two installations in exhibitions. Additionally, we conducted expert interviews with exhibition designers, investigating the tool’s usefulness for them.

scholarly journals Lessons Learned in Designing Ubiquitous Augmented Reality User Interfaces

2011 ◽  
pp. 218-235
Author(s):  
Christian Sandor ◽  
Gudrun Klinker
Keyword(s):  
Augmented Reality ◽  
Human Computer Interaction ◽  
Design Process ◽  
User Interfaces ◽  
Real World ◽  
Lessons Learned ◽  
Digital Information ◽  
Space Analysis ◽  
Research Problems ◽  
Design Options

Ubiquitous augmented reality (UAR) is an emerging human-computer interaction technology, arising from the convergence of augmented reality and ubiquitous computing. In UAR, visualizations can augment the real world with digital information. Interactions can follow a tangible metaphor. Both should adapt according to the user’s context and are distributed on a possibly changing set of devices. Current research problems for user interfaces in UAR are software infrastructures, authoring tools and a supporting design process. We present case studies of how we have used a systematic design space analysis to carefully narrow the amount of available design options. The next step in our approach is to use interactive, possibly immersive tools to support interdisciplinary brainstorming sessions. Several tools are presented. We conclude by summarizing the lessons we have learned while applying our method.

scholarly journals Lessons Learned in Designing Ubiquitous Augmented Reality User Interfaces

2011 ◽  
pp. 1948-1963
Author(s):  
Christian Sandor ◽  
Gudrun Klinker
Keyword(s):  
Augmented Reality ◽  
Human Computer Interaction ◽  
Design Process ◽  
User Interfaces ◽  
Real World ◽  
Lessons Learned ◽  
Digital Information ◽  
Space Analysis ◽  
Research Problems ◽  
Design Options

Ubiquitous augmented reality (UAR) is an emerging human-computer interaction technology, arising from the convergence of augmented reality and ubiquitous computing. In UAR, visualizations can augment the real world with digital information. Interactions can follow a tangible metaphor. Both should adapt according to the user’s context and are distributed on a possibly changing set of devices. Current research problems for user interfaces in UAR are software infrastructures, authoring tools and a supporting design process. We present case studies of how we have used a systematic design space analysis to carefully narrow the amount of available design options. The next step in our approach is to use interactive, possibly immersive tools to support interdisciplinary brainstorming sessions. Several tools are presented. We conclude by summarizing the lessons we have learned while applying our method.

scholarly journals Goal-driven active learning

2021 ◽  
Vol 35 (2) ◽  
Author(s):  
Nicolas Bougie ◽  
Ryutaro Ichise
Keyword(s):  
Decision Making ◽  
Reinforcement Learning ◽  
Learning Process ◽  
Real World ◽  
Imitation Learning ◽  
Learning Approaches ◽  
Wide Range ◽  
Fixed Set ◽  
Complex Decision Making ◽  
Complex Decision

AbstractDeep reinforcement learning methods have achieved significant successes in complex decision-making problems. In fact, they traditionally rely on well-designed extrinsic rewards, which limits their applicability to many real-world tasks where rewards are naturally sparse. While cloning behaviors provided by an expert is a promising approach to the exploration problem, learning from a fixed set of demonstrations may be impracticable due to lack of state coverage or distribution mismatch—when the learner’s goal deviates from the demonstrated behaviors. Besides, we are interested in learning how to reach a wide range of goals from the same set of demonstrations. In this work we propose a novel goal-conditioned method that leverages very small sets of goal-driven demonstrations to massively accelerate the learning process. Crucially, we introduce the concept of active goal-driven demonstrations to query the demonstrator only in hard-to-learn and uncertain regions of the state space. We further present a strategy for prioritizing sampling of goals where the disagreement between the expert and the policy is maximized. We evaluate our method on a variety of benchmark environments from the Mujoco domain. Experimental results show that our method outperforms prior imitation learning approaches in most of the tasks in terms of exploration efficiency and average scores.

A CFD Study of Focused Extreme Wave Impact on Decks of Offshore Structures

2014 ◽  
Author(s):  
Xin Lu ◽  
Pankaj Kumar ◽  
Anand Bahuguni ◽  
Yanling Wu
Keyword(s):  
Real World ◽  
Offshore Structures ◽  
Air Gap ◽  
Irregular Waves ◽  
Linear Wave ◽  
Extreme Wave ◽  
Wave Impact ◽  
Loading Test ◽  
Wide Range ◽  
Wave Maker

The design of offshore structures for extreme/abnormal waves assumes that there is sufficient air gap such that waves will not hit the platform deck. Due to inaccuracies in the predictions of extreme wave crests in addition to settlement or sea-level increases, the required air gap between the crest of the extreme wave and the deck is often inadequate in existing platforms and therefore wave-in-deck loads need to be considered when assessing the integrity of such platforms. The problem of wave-in-deck loading involves very complex physics and demands intensive study. In the Computational Fluid Mechanics (CFD) approach, two critical issues must be addressed, namely the efficient, realistic numerical wave maker and the accurate free surface capturing methodology. Most reported CFD research on wave-in-deck loads consider regular waves only, for instance the Stokes fifth-order waves. They are, however, recognized by designers as approximate approaches since “real world” sea states consist of random irregular waves. In our work, we report a recently developed focused extreme wave maker based on the NewWave theory. This model can better approximate the “real world” conditions, and is more efficient than conventional random wave makers. It is able to efficiently generate targeted waves at a prescribed time and location. The work is implemented and integrated with OpenFOAM, an open source platform that receives more and more attention in a wide range of industrial applications. We will describe the developed numerical method of predicting highly non-linear wave-in-deck loads in the time domain. The model’s capability is firstly demonstrated against 3D model testing experiments on a fixed block with various deck orientations under random waves. A detailed loading analysis is conducted and compared with available numerical and measurement data. It is then applied to an extreme wave loading test on a selected bridge with multiple under-deck girders. The waves are focused extreme irregular waves derived from NewWave theory and JONSWAP spectra.

scholarly journals Classification of unlabeled online media

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sakthi Kumar Arul Prakash ◽  
Conrad Tucker
Keyword(s):  
Social Media ◽  
Real World ◽  
Graphical Model ◽  
Ground Truth ◽  
Classification Problem ◽  
Machine Learning Algorithms ◽  
Social Media Networks ◽  
Online Social Media ◽  
Wide Range

AbstractThis work investigates the ability to classify misinformation in online social media networks in a manner that avoids the need for ground truth labels. Rather than approach the classification problem as a task for humans or machine learning algorithms, this work leverages user–user and user–media (i.e.,media likes) interactions to infer the type of information (fake vs. authentic) being spread, without needing to know the actual details of the information itself. To study the inception and evolution of user–user and user–media interactions over time, we create an experimental platform that mimics the functionality of real-world social media networks. We develop a graphical model that considers the evolution of this network topology to model the uncertainty (entropy) propagation when fake and authentic media disseminates across the network. The creation of a real-world social media network enables a wide range of hypotheses to be tested pertaining to users, their interactions with other users, and with media content. The discovery that the entropy of user–user and user–media interactions approximate fake and authentic media likes, enables us to classify fake media in an unsupervised learning manner.

scholarly journals An information theoretic approach to link prediction in multiplex networks

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Seyed Hossein Jafari ◽  
Amir Mahdi Abdolhosseini-Qomi ◽  
Masoud Asadpour ◽  
Maseud Rahgozar ◽  
Naser Yazdani
Keyword(s):  
Real World ◽  
Link Prediction ◽  
Large Scale ◽  
Similarity Measures ◽  
Prediction Method ◽  
General Purpose ◽  
Fast Method ◽  
Theoretic Approach ◽  
Multiplex Networks ◽  
Wide Range

AbstractThe entities of real-world networks are connected via different types of connections (i.e., layers). The task of link prediction in multiplex networks is about finding missing connections based on both intra-layer and inter-layer correlations. Our observations confirm that in a wide range of real-world multiplex networks, from social to biological and technological, a positive correlation exists between connection probability in one layer and similarity in other layers. Accordingly, a similarity-based automatic general-purpose multiplex link prediction method—SimBins—is devised that quantifies the amount of connection uncertainty based on observed inter-layer correlations in a multiplex network. Moreover, SimBins enhances the prediction quality in the target layer by incorporating the effect of link overlap across layers. Applying SimBins to various datasets from diverse domains, our findings indicate that SimBins outperforms the compared methods (both baseline and state-of-the-art methods) in most instances when predicting links. Furthermore, it is discussed that SimBins imposes minor computational overhead to the base similarity measures making it a potentially fast method, suitable for large-scale multiplex networks.

scholarly journals Comparing optical performance of a wide range of perovskite/silicon tandem architectures under real-world conditions

Nanophotonics ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Manvika Singh ◽  
Rudi Santbergen ◽  
Indra Syifai ◽  
Arthur Weeber ◽  
Miro Zeman ◽  
...  
Keyword(s):  
Solar Cells ◽  
Real World ◽  
Solar Spectrum ◽  
Photocurrent Density ◽  
Angle Of Incidence ◽  
Optical Study ◽  
Optical Performance ◽  
Tandem Solar Cells ◽  
Bottom Cell ◽  
Wide Range

Abstract Since single junction c-Si solar cells are reaching their practical efficiency limit. Perovskite/c-Si tandem solar cells hold the promise of achieving greater than 30% efficiencies. In this regard, optical simulations can deliver guidelines for reducing the parasitic absorption losses and increasing the photocurrent density of the tandem solar cells. In this work, an optical study of 2, 3 and 4 terminal perovskite/c-Si tandem solar cells with c-Si solar bottom cells passivated by high thermal-budget poly-Si, poly-SiOx and poly-SiCx is performed to evaluate their optical performance with respect to the conventional tandem solar cells employing silicon heterojunction bottom cells. The parasitic absorption in these carrier selective passivating contacts has been quantified. It is shown that they enable greater than 20 mA/cm2 matched implied photocurrent density in un-encapsulated 2T tandem architecture along with being compatible with high temperature production processes. For studying the performance of such tandem devices in real-world irradiance conditions and for different locations of the world, the effect of solar spectrum and angle of incidence on their optical performance is studied. Passing from mono-facial to bi-facial tandem solar cells, the photocurrent density in the bottom cell can be increased, requiring again optical optimization. Here, we analyse the effect of albedo, perovskite thickness and band gap as well as geographical location on the optical performance of these bi-facial perovskite/c-Si tandem solar cells. Our optical study shows that bi-facial 2T tandems, that also convert light incident from the rear, require radically thicker perovskite layers to match the additional current from the c-Si bottom cell. For typical perovskite bandgap and albedo values, even doubling the perovskite thickness is not sufficient. In this respect, lower bandgap perovskites are very interesting for application not only in bi-facial 2T tandems but also in related 3T and 4T tandems.

3D Technology – Additive Manufacturing Applications and Prospects (Vol. 24, No. 9, Full Issue)

2020 ◽  
Vol 24 (09) ◽  
Keyword(s):  
Additive Manufacturing ◽  
3D Printing ◽  
Environmental Impact ◽  
Real World ◽  
Vaccine Development ◽  
Health Screening ◽  
Wide Range ◽  
The World ◽  
Real World Applications ◽  
Manufacturing Applications

For the month of September 2020, APBN dives into the world of 3D printing and its wide range of real-world applications. Keeping our focus on the topic of the year, the COVID-19 pandemic, we explore the environmental impact of the global outbreak as well as gain insight to the top 5 vaccine platforms used in vaccine development. Discover more about technological advancements and how it is assisting innovation in geriatric health screening.

Application of Microsoft Agent in Humanized Courseware

2013 ◽  
Vol 671-674 ◽  
pp. 3239-3242
Author(s):  
Yao Fei Chen ◽  
Wei Zheng ◽  
Huan Tong Chen
Keyword(s):  
Human Computer Interaction ◽  
Design Process ◽  
Significant Influence ◽  
Agent Technology ◽  
Design Structure ◽  
Presentation Effect ◽  
Computer Interaction

Traditional courseware is lack of humanity. Proposes to use Agent technology achieve the humanized design in courseware. Microsoft Agent with its lively and clear human features has had a significant influence upon traditional human-computer interaction. This paper introduces the related technologies of Microsoft Agent, and discussed the realization of the principles and the design process of the Microsoft Agent in authorware . The paper gives the Agent script design structure, the human feedback of humanized courseware and the notes in the process. Microsoft Agent enhanced the expression and presentation effect of courseware by lively images of anthropomorphic expression, speech and action.

Adopting SCAMPER`S Strategies to Incorporate the Sustainability Concepts Within Architectural Design Process

2021 ◽  
Author(s):  
Farhan Ali ◽  
Keyword(s):  
Design Process ◽  
Creative Thinking ◽  
Architectural Design ◽  
Divergent Thinking ◽  
Functional Performance ◽  
Necessary Condition ◽  
Existing Building ◽  
Starting Point ◽  
Wide Range ◽  
The Aesthetic

Thinking creatively, is a necessary condition of the Design process to transform ideas into novel solutions and break barriers to creativity. Although, there are many techniques and ways to stimulate creative thinking for designers, however, this research paper adopts SCAMPER; which is acronym of: Substitute- Combine-Adapt- Modify or Magnify-Put to another use-Eliminate-Reverse or Rearrange- to integrate the sustainability concepts within architectural design process. Many creative artifacts have been designed consciously or unconsciously adopting SCAMPER strategies such as rehabilitation and reuse projects to improve the functional performance or the aesthetic sense of an existing building for the better. SCAMPER is recognized as a divergent thinking tool are used during the initial ideation stage, aims to leave the usual way of thinking to generate a wide range of new ideas that will lead to new insights, original ideas, and creative solutions to problems. The research focuses on applying this method in the architectural design, which is rarely researched, through reviewing seven examples that have been designed consciously or unconsciously adopting SCAMPER mnemonic techniques. The paper aims to establish a starting point for further research to deepen it and study its potentials in solving architectural design problems.

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