Tubu io Decentralized Application Development Test Workbench

Decentralized services are increasingly being developed and their proper usage in different areas is being experimented with . Autonomous codes, whichare also called smart contracts, can be developed with Integrated DevelopmentEnvironments (IDE) However, these tools lack live environment tests . Tubu-io decentralizedapplication development workbench is developed to serve as an efficient way for programmers to deploy smart contracts on the blockchain networks and interact with them easily .…

Examining mobility data justice during 2017 Hurricane Harvey

Study using Hurricane Harvey as acase study explores three aspects of mobility data that could potentially cause injustice: representativeness, quality, and precision . The findings highlight the necessity in understanding and controlling the possible bias ofmobility data as well as developing practical tools to use data justice lenses in collecting and analyzing data during disasters .…

New Invariants of Poncelet Jacobi Bicentric Polygons

The 1d family of Poncelet polygons interscribed between two circles is known as the Bicentric family . Using elliptic functions and Liouville’s theorem, this family has invariant sum of internal angle cosines . The pedal polygons with respect to the family’s limiting points haveinvariant perimeter .…

A note on sampling recovery of multivariate functions in the uniform norm

We study the recovery of multivariate functions from reproducing kernelHilbert spaces in the uniform norm . Our main interest is to obtainpreasymptotic estimates for the corresponding sampling numbers . We obtain results in terms of the decay of related singular numbers of the compactembedding into $L_2(D,\varrho_D)$ multiplied with the supremum of theChristoffel function of the subspace spanned by the first $m$ singularfunctions .…

Hierarchical Hybrid Error Correction for Time Sensitive Devices at the Edge

Computational storage, known as a solution to significantly reduce thelatency by moving data-processing down to the data storage, has received wideattention because of its potential to accelerate data-driven devices at the edge . To meet the insatiable appetite for complicated functionalities tailored for intelligent devices such as autonomous vehicles, properties includingheterogeneity, scalability, and flexibility are becoming increasinglyimportant .…

Discrete Helly type theorems for pseudohalfplanes

We prove discrete Helly-type theorems for pseudohalfplanes . Theorems extend recent results of Jensen, Joshi and Ray about halfplanes . We show that if every triple of points of $P$ has a common point in $P  then there exists aset of at most two points that hits every pseudhalfplane of $H$ .…

On Chain IoT Data Modification in Blockchains

Blockchains (BC) andInternet-of-Things (IoT) integration — termed as BIoT — has great potentials in various use cases such as health care, supply chain tracking, and smart cities . The proposed solution is based on acryptographic primitive called Chameleon Hashing. The novelty of this approach is manifold.…

An Experiment Study on Federated LearningTestbed

Federatedlearning is proposed as an approach for privacy-preserving machine learning(PPML) for the IoT, while its practicability remains unclear . The training speed of the framework is significantly slower than of the centralized approach due tocommunication overhead . Meanwhile, the framework bears some vulnerability topotential man-in-the-middle attacks at the network level .…

Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation

Sequential recommendation as an emerging topic has attracted increasing attention due to its important practical significance . Models based on deeplearning and attention mechanism have achieved good performance in sequentialrecommendation . VAE-based models suffer from a common limitation that the representational ability of the obtained approximateposterior distribution is limited, resulting in lower quality of generated samples .…

Differentially private inference via noisy optimization

We propose a general optimization-based framework for computing differentially private M-estimators and a new method for constructingdifferentially private confidence regions . We show that robuststatistics can be used in conjunction with noisy gradient descent or noisyNewton methods in order to obtain optimal private estimators with global linearor quadratic convergence, respectively .…

Non causal regularized least squares for continuous time system identification with band limited input excitations

In continuous-time system identification, the intersample behavior of the input signal is known to play a crucial role in the performance of estimation methods . We propose a kernel-based non-causal regularized least-squares approach for estimating the band-limited equivalentimpulse response. The proposed methods are tested via extensive numericalsimulations.…

Model free LQR based PID controller for trajectory tracking of 2 DoF helicopter comparison and experimental results

This paper studies the performance of a model-free LQR based PID (i-LQR-PID)controller designed for tracking control problem of a 2-DoF laboratoryhelicopter . It aims to track the desired pitch and yaw axes trajectories despite disturbed operating conditions . Robustness tests are performed experimentally to show the effectiveness of the model free control .…

Privacy Aware Load Ensemble Control A Linearly Solvable MDP Approach

Demand response programs engage distributed demand-side resources, e.g., controlable residential and commercial loads, in providing ancillary services . Ensembles of these resources can help reducingsystem load peaks and meeting operational limits by adjusting their electric power consumption . Markov DecisionProcess (MDP) approach to optimally control load ensembles in aprivacy-preserving manner .…

AutoTune Controller Tuning for High Speed Flight

AutoTune, asampling-based tuning algorithm specifically tailored to high-speed flight . The faster the maneuver, the more sensitive a controller becomes to its parameters . In experiments, weoutperform existing tuning algorithms by up to 90\% in trajectory completion . We show thatAutoTune improves tracking error when flying a physical platform with respectto parameters tuned by a human expert .…

Improving Web API Usage Logging

A Web API (WAPI) is a type of API whose interaction with its consumers is done through the Internet . It gives providers the possibility to monitor their usage, and understand and analyze consumers’ behavior . Currently,WAPI usage is mostly logged for traffic monitoring and troubleshooting .…

Dynamic Grasping with Reachability and Motion Awareness

Grasping in dynamic environments presents a unique set of challenges . Astable and reachable grasp can become unreachable and unstable as the targetobject moves . In this paper, we present a dynamicgrasping framework that is reachability-aware and motion-aware . We train a neuralnetwork to predict the grasp quality conditioned on the current motion of the target .…

A systematic association of subgraph counts over a network

We associate all small subgraph counting problems with a systematic graphencoding/representation system . The system can serve as a unified foundation for studying andconnecting many important graph problems in theory and practice . We describe relations among graphlets (graph elements) in rigorous mathematicslanguage and from the perspective of graph encoding .…

EXSCLAIM An automated pipeline for the construction of labeled materials imaging datasets from literature

Material microscopy is experiencing an explosion of published imaging data . The standard publication format is not conducive to large-scale data aggregation oranalysis, hindering data sharing and reuse . We highlight the methodology behind the construction of the EXSCLAIM! Python toolkit for the automatic EXtraction,Separation, and Caption-based natural Language Annotation of IMages from scientific literature.…

Lessons Learned from Educating AI Engineers

We have built a practice-oriented, bachelor level programme for software engineers to specialize as AI engineers . The experience with this programme and the practical assignments our studentsexecute in industry has given us valuable insights on the profession of AIengineer .…