Reviewerly/exHarmony huggingface dataset:
Tangible and Embodied Interaction

chapter Share on Tangible and Embodied Interaction Authors: Brygg Ullmer Clemson University Clemson UniversitySearch about this author , Orit Shaer Wellesley College Wellesley CollegeSearch about this author , Ali Mazalek Toronto Metropolitan University Toronto Metropolitan UniversitySearch about this author , Caroline Hummels Search about this author Authors Info & Claims Weaving Fire into Form: Aspirations for Tangible and Embodied InteractionJuly 2022https://doi.org/10.1145/3544564.3544570Published:26 July 2022Publication History 0citation12DownloadsMetricsTotal Citations0Total Downloads12Last 12 Months10Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Years of Referenced Manuscripts

chapter Share on Years of Referenced Manuscripts Authors: Brygg Ullmer Clemson University Clemson UniversitySearch about this author , Orit Shaer Wellesley College Wellesley CollegeSearch about this author , Ali Mazalek Toronto Metropolitan University Toronto Metropolitan UniversitySearch about this author , Caroline Hummels Search about this author Authors Info & Claims Weaving Fire into Form: Aspirations for Tangible and Embodied InteractionJuly 2022https://doi.org/10.1145/3544564.3544581Published:26 July 2022Publication History 0citation3DownloadsMetricsTotal Citations0Total Downloads3Last 12 Months3Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Remarks

chapter Share on Remarks Authors: Brygg Ullmer Clemson University Clemson UniversitySearch about this author , Orit Shaer Wellesley College Wellesley CollegeSearch about this author , Ali Mazalek Toronto Metropolitan University Toronto Metropolitan UniversitySearch about this author , Caroline Hummels Search about this author Authors Info & Claims Weaving Fire into Form: Aspirations for Tangible and Embodied InteractionJuly 2022https://doi.org/10.1145/3544564.3544567Published:26 July 2022Publication History 0citation1DownloadsMetricsTotal Citations0Total Downloads1Last 12 Months1Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Framing TEI

chapter Share on Framing TEI Authors: Brygg Ullmer Clemson University Clemson UniversitySearch about this author , Orit Shaer Wellesley College Wellesley CollegeSearch about this author , Ali Mazalek Toronto Metropolitan University Toronto Metropolitan UniversitySearch about this author , Caroline Hummels Search about this author Authors Info & Claims Weaving Fire into Form: Aspirations for Tangible and Embodied InteractionJuly 2022https://doi.org/10.1145/3544564.3544572Published:26 July 2022Publication History 0citation3DownloadsMetricsTotal Citations0Total Downloads3Last 12 Months2Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Foreword

prefatory Share on Foreword Authors: Brygg Ullmer Clemson University Clemson UniversitySearch about this author , Orit Shaer Wellesley College Wellesley CollegeSearch about this author , Ali Mazalek Toronto Metropolitan University Toronto Metropolitan UniversitySearch about this author , Caroline Hummels Search about this author Authors Info & Claims Weaving Fire into Form: Aspirations for Tangible and Embodied InteractionJuly 2022https://doi.org/10.1145/3544564.3544566Published:26 July 2022Publication History 0citation1DownloadsMetricsTotal Citations0Total Downloads1Last 12 Months1Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Authors Cited

chapter Share on Authors Cited Authors: Brygg Ullmer Clemson University Clemson UniversitySearch about this author , Orit Shaer Wellesley College Wellesley CollegeSearch about this author , Ali Mazalek Toronto Metropolitan University Toronto Metropolitan UniversitySearch about this author , Caroline Hummels Search about this author Authors Info & Claims Weaving Fire into Form: Aspirations for Tangible and Embodied InteractionJuly 2022https://doi.org/10.1145/3544564.3544580Published:26 July 2022Publication History 0citation1DownloadsMetricsTotal Citations0Total Downloads1Last 12 Months1Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Aesthetics of TEI

chapter Share on Aesthetics of TEI Authors: Brygg Ullmer Clemson University Clemson UniversitySearch about this author , Orit Shaer Wellesley College Wellesley CollegeSearch about this author , Ali Mazalek Toronto Metropolitan University Toronto Metropolitan UniversitySearch about this author , Caroline Hummels Search about this author Authors Info & Claims Weaving Fire into Form: Aspirations for Tangible and Embodied InteractionJuly 2022https://doi.org/10.1145/3544564.3544575Published:26 July 2022Publication History 0citation2DownloadsMetricsTotal Citations0Total Downloads2Last 12 Months2Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Introduction

introduction Share on Introduction Authors: Brygg Ullmer Clemson University Clemson UniversitySearch about this author , Orit Shaer Wellesley College Wellesley CollegeSearch about this author , Ali Mazalek Toronto Metropolitan University Toronto Metropolitan UniversitySearch about this author , Caroline Hummels Search about this author Authors Info & Claims Weaving Fire into Form: Aspirations for Tangible and Embodied InteractionJuly 2022https://doi.org/10.1145/3544564.3544568Published:26 July 2022Publication History 0citation2DownloadsMetricsTotal Citations0Total Downloads2Last 12 Months2Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Bibliography

chapter Share on Bibliography Authors: Brygg Ullmer Clemson University Clemson UniversitySearch about this author , Orit Shaer Wellesley College Wellesley CollegeSearch about this author , Ali Mazalek Toronto Metropolitan University Toronto Metropolitan UniversitySearch about this author , Caroline Hummels Search about this author Authors Info & Claims Weaving Fire into Form: Aspirations for Tangible and Embodied InteractionJuly 2022https://doi.org/10.1145/3544564.3544582Published:26 July 2022Publication History 0citation2DownloadsMetricsTotal Citations0Total Downloads2Last 12 Months2Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Forming Professionally Important Qualities of Students of Non-Linguistic Universities by Means of the “Foreign Language” Discipline

The article focuses on searching for new, optimal means of forming professionally important qualities of students of non-linguistic universities using the discipline “Foreign language” on the example of the experience of Moscow Agricultural Academy named after K. A. Timiryazev. The study of a foreign language in a non-linguistic university makes an undeniable contribution to the process of personality self￾determination. The study aims to determine effective teaching methods and formulating professionally important personality traits of future engineers. These methods are formed in educational quasi￾professional activity and are improved in the process of professional activity as professionalization and based on the experience of applying skills. We correlate the main types of educational activity with the professionally important personality traits of future specialists that are functionally differentiated according to three subsystems of the personality structure-cognitive, communicative, and regulatory. This approach is innovative in teaching practice. The study includes the development of recommendations for optimizing their formation in learning a foreign language.
Effects of imputation strategy on genetic algorithms and neural networks on a binary classification problem

In this paper, we compare the performance of a canonical genetic algorithm (CGA), the Self Adaptive Genetic Algorithm (SAGA), and a feed-forward neural network (FFNN) on a predictive modeling problem with incomplete data. Predictive modeling involves learning relationships between the features and labels of the data points in a dataset. Datasets with missing input values may cause problems for some learning algorithms by biasing the learned models. Imputation refers to techniques for replacing missing data through methods such as statistical probabilities, multivariate analysis, machine learning, or K-nearest neighbors.
Structure-sensitive semantic matching for aggregate question answering over knowledge base

Aggregate question answering essentially returns answers for given questions by obtaining query graphs with unique dependencies between values and corresponding objects. Word order dependency, as the key to uniquely identify dependency of the query graph, reflects the dependencies between the words in the question. However, due to the semantic gap caused by the expression difference between questions encoded with word vectors and query graphs represented with logical formal elements, it is not trivial to match the correct query graph for the question. Most existing approaches design more expressive query graphs for complex questions and rank them just by directly calculating their similarities, ignoring the semantic gap between them. In this paper, we propose a novel Structure-sensitive Semantic Matching(SSM) approach that learns aligned representations of dependencies in questions and query graphs to eliminate their gap. First, we propose a cross-structure matching module to bridge the gap between two modalities(i.e., textual question and query graph). Then, we propose an entropy-based gated AQG filter to remove the structural noise caused by the uncertainty of dependencies. Finally, we present a two-channel query graph representation that fuses the semantics of abstract structure and grounding content of the query graph explicitly. Experimental results show that SSM could learn aligned representations of questions and query graphs to eliminate the gaps between their dependencies, and improves up to 12% (F1 score) on aggregation questions of two benchmark datasets.
Real-time panoptic segmentation with relationship between adjacent pixels and boundary prediction

Panoptic segmentation has recently received increasing attention since it generates coherent scene segmentation by unifying semantic and instance segmentation. The most popular methods for panoptic segmentation are currently based on an instance segmentation framework with a semantic segmentation branch in parallel. However, these methods are too bloated for real-world applications. In this paper, we propose a simple yet effective fully convolutional network for fast panoptic segmentation. Instead of directly generating the mask for each instance, we leverage a simple graph convolutional layer to construct a pixel relationship head to predict the relationship between two adjacent pixels and determine whether they belong to the same instance. Besides, we leverage boundary information to enhance supervision information and help our method distinguish adjacent objects. Combining predicted category labels for each pixel from the semantic segmentation branch, we can generate a unified panoptic segmentation mask in a parameter-free step. We demonstrate our method’s effectiveness on MS COCO dataset and Cityscapes dataset, which obtain competitive results.
Multi-Prediction Compression: An Efficient and Scalable Memory Compression Framework for GP-GPU

Data-intensive applications and throughput-oriented processors demand more memory bandwidth. Memory compression can provide more data beyond physical limits, yet new data types and smaller block sizes are challenging. This paper presents a novel and lightweight memory compression framework, Multi-Prediction Compression (MPC), to increase the effective memory bandwidth. Based on multiple prediction models and data-driven algorithm tuning, MPC can provide 31.7% better compression than state-of-the-art (SOTA) algorithms for 32B blocks. Moreover, MPC is hardware-friendly and scalable to support a growing number of data patterns.
DLDP-FL: Dynamic local differential privacy federated learning method based on mesh network edge devices

With increasing concerns about data security, privacy protection has become a necessary consideration in machine learning. Federated Learning (FL) solves the problem of data islands in machine learning and protects the privacy of participants by enabling further encryption through Differential Privacy (DP). In Artificial Intelligence of Things (AIoT), edge devices also suffer from data islands, which are addressed by applying FL to AIoT. However, the privacy and efficiency of existing FL needs to be further improved, and the integration with edge computing is not yet high enough. In this paper, first, we propose a novel edge FL architecture based on edge devices in mesh network architecture; next, we exploit the mesh networking features to address the problem of possible internal attacks from edge devices and design a Dynamic Local Differential Privacy (DLDP) algorithm; then, according to the communication characteristics of mesh network, we design Edge-FedAvg algorithm to reduce the communication cost; finally, to enhance the response to untrusted center servers, embed watermark in the model to further enhance the privacy protection capability. The Dynamic Local Differential Privacy Federated Learning (DLDP-FL) framework designed in this paper is used for FL of edge devices under mesh network, which can improve communication efficiency and enhance privacy protection capabilities at the same time.
A Graph Neural Network Reasoner for Game Description Language

General Game Playing (GGP) aims to develop agents that are able to play any game with only rules given. The game rules are encoded in the Game Description Language (GDL). A GGP player processes the game rules to obtain game states and expand the game tree search for an optimal move. The recent accomplishments of AlphaGo and AlphaZero have triggered new works in extending neural network approaches to GGP. In these works, the neural networks are used only for optimal move selection, while the components dealing with GDL still use logic-based methods. This motivates us to explore if a neural network based method would be able to approximate the logical inference in GDL with a high accuracy. The structured nature of logic tends to be a difficulty for neural networks, which rely heavily on statistical features. Inspired by the recent works on neural network learning for logical entailments, we propose a neural network based reasoner that is able to learn logical inferences for GDL. We present three key contributions: (i) a general, game-agnostic graph-based representation for game states described in GDL, (ii) methods for generating samples and datasets to frame the GDL inference task as a neural network based machine learning problem and (iii) a GNN based neural reasoner that is able to learn and infer various game states with a high accuracy and has some capability of transfer learning across games.
Smartphone Distance Measurement Application Using Image Processing Methods

Abstract This study introduces a new method to measure the distance of an object from an observer location using image processing methods by utilizing smartphone camera technology. This study involved the development of an application for distance measurement where users can measure the distance of an object using their smartphone. For this study, the basic image processing method was used to determine the proportional width of the object marker which then be used to derive the distance to the object. The application has been successfully developed where the distance from the smartphone to the object marker can be obtained with an accuracy of +/-0.05 meters for distances of less than 3 meters. However, further research needs to be conducted to enhance the application modules for better distance measurement accuracy. This study indicated that the development of smartphone applications using image processing methods has great potential to be applied in various distance measurement applications in the near future, especially in data collection activities for the production of small-scale topographic maps or for land surveying applications.
Ultrafast line detector

This article introduces the fastest line detector so far published in the literature. This algorithm is 14.88 times faster than the next fastest line detector, the EDLines, and 94.7 times faster than the line segment detector. It is hundreds of times faster and more reliable than the Standard Hough Transform. The article also introduces an ingeniously simple method for detecting and combining patterns. The algorithm takes advantage of several look-up tables to recognize and fit straight-line patterns. As the first step, it recognizes any possible 4 × 4 pixel line patterns among the binary edge pixels and then uses several small look-up tables to decide whether the connected patterns form a line or not. It is specially designed for real-time processing of the high-resolution images such as the ones used in computer vision applications.
From symbolic constraint automata to Promela

In this paper, we study a subclass of constraint automata with local variables. The fragment denotes an executable subset of constraint automata for which synchronization and data constraints are expressed in an imperative guarded command style, instead of a denotational style as in the coordination language Reo. To demonstrate the executability property, we provide a translation scheme from symbolic constraint automata to Promela, the language of the model checker Spin. As a proof of concept, we model in Reo a software defined network circuit, and use the Spin model checker to verify that our model satisfies some temporal properties.
Sliding Mode Control of a Vision Augmented 3 DoF Quadrotor with Input and State Constraints

This work presents the development of a sliding mode controller (SMC) for a 3 DoF vision augmented quadrotor which subjected to input and state constraints, in the presence of system uncertainties and bounded external disturbances. The approach relies on using a modified constant plus power rate reaching law that will ensure to keep the rate of change of the sliding variable bounded, irrespective of the initial conditions of the system. The paper also derives the relationship between the state and the input constraints and the controller gains, hence allowing the user to assign suitable values for the same based on the imposed constraints. Such a design plays a vital role in visual servoing as it helps maintain a smooth tracking profile while ensuring minimum stress on the actuators. To demonstrate the efficacy of the proposed controller over the vision augmented model, numerical simulations are presented and the findings are compared with an existing state of the art sliding mode strategy.
Implementation of the Rapidly-exploring Random Belief Tree and Statistical Analysis of Functionality

In this paper, we implement the Rapidly-exploring Random Belief Tree (RRBT) in a test environment from the original work. The algorithm is modified to utilize a more formal definition of domination when performing partial ordering of beliefs, improving the method for appending and rewiring the tree. We also consider the probabilistic guarantees of the Rapidly-exploring Random Tree (RRT) algorithm compared to those clearly stated in the RRBT development, and more importantly, which are not included. Monte Carlo simulation of the RRBT algorithm in the test environment provides evidence for the exponential decay in the probability of failure as the number of planning iterations increases. If this assertion would prove true universally, future work can focus on computing minimum number of iterations necessary for a valid solution, and thus a minimum time to compute for safe paths through complex environments while accounting for agent, measurement, and environment uncertainties.
Generalized Lazy-Theta* for 3D path planning considering non-uniform costs

This paper presents a 3D safe path planning solution for UAS in cluttered environments. 3D any-angle path planning algorithms are used by including non-uniform costs related to distance to the closest obstacles. Both Theta* and Lazy Theta* algorithms are extended toward non-uniform costs by fostering safety and smoothness. Our generalized algorithms consider the cost of all the nodes along the line of sight between an initial and final node. Tests in a realistic environment are performed to evaluate the generalized Theta* and Lazy Theta* algorithms with respect to A* algorithm considering the nonuniform costs. The results show advantages of the generalized Lazy Theta* algorithm related to safety, length and smoothness of path.