Create, Learn, Play: Planning Creative, Whole-body Learning Enviornments for Young Children

The built environment plays a significant role in the education of a child, with some teaching philosophies referring to it as another teacher. Neural development happens through a combination of genetics and experience. Sensory learning therefore suggests that young developing children are very sensitive to the environment around them. The environment includes the landscape, physical structures and equipment, and people. This thesis proposes that the physical environment (landscape, building structure, and equipment) can positively affect the holistic development of a prekindergarten aged child (between three- five years in age) by providing an enriching learning environment that facilitates whole-body learning and creativity. As a result of examining the multidisciplinary literature on child development and creativity science, as well as studying the way existing progressive preschool pedagogies treat their learning environments, a planning guide has been produced. The planning guide provides strategies for designers and educators to create holistic early learning environments that consider a child’s emotional, mental and physical wellbeing. Children are experiential learners who learn using their whole body. Movement and multi-sensory learning are therefore critical for healthy development. Rich, multilayered explorations of materials encourage creativity, curiosity and imagination. Supportive interventions that allow children multiple opportunities to explore, create, and connect, are vital to an early childhood education facility that wishes to encourage critical thinking and problem solving skills via the development of divergent thinking. It is important to create a supportive network of harmonious interventions. These interventions will become the foundation on which Whole-body Learning and Creativity can be built. The resulting guide is organized into three major sections that go on to discuss supporting topics in detail. Due to the fluid nature of some of the interventions there is some overlap between sections; however the interventions will be discussed topically as they pertain to a given section

An implementation of Deflate in Coq

The widely-used compression format "Deflate" is defined in RFC 1951 and is based on prefix-free codings and backreferences. There are unclear points about the way these codings are specified, and several sources for confusion in the standard. We tried to fix this problem by giving a rigorous mathematical specification, which we formalized in Coq. We produced a verified implementation in Coq which achieves competitive performance on inputs of several megabytes. In this paper we present the several parts of our implementation: a fully verified implementation of canonical prefix-free codings, which can be used in other compression formats as well, and an elegant formalism for specifying sophisticated formats, which we used to implement both a compression and decompression algorithm in Coq which we formally prove inverse to each other -- the first time this has been achieved to our knowledge. The compatibility to other Deflate implementations can be shown empirically. We furthermore discuss some of the difficulties, specifically regarding memory and runtime requirements, and our approaches to overcome them

Practical Hidden Voice Attacks against Speech and Speaker Recognition Systems

Voice Processing Systems (VPSes), now widely deployed, have been made significantly more accurate through the application of recent advances in machine learning. However, adversarial machine learning has similarly advanced and has been used to demonstrate that VPSes are vulnerable to the injection of hidden commands - audio obscured by noise that is correctly recognized by a VPS but not by human beings. Such attacks, though, are often highly dependent on white-box knowledge of a specific machine learning model and limited to specific microphones and speakers, making their use across different acoustic hardware platforms (and thus their practicality) limited. In this paper, we break these dependencies and make hidden command attacks more practical through model-agnostic (blackbox) attacks, which exploit knowledge of the signal processing algorithms commonly used by VPSes to generate the data fed into machine learning systems. Specifically, we exploit the fact that multiple source audio samples have similar feature vectors when transformed by acoustic feature extraction algorithms (e.g., FFTs). We develop four classes of perturbations that create unintelligible audio and test them against 12 machine learning models, including 7 proprietary models (e.g., Google Speech API, Bing Speech API, IBM Speech API, Azure Speaker API, etc), and demonstrate successful attacks against all targets. Moreover, we successfully use our maliciously generated audio samples in multiple hardware configurations, demonstrating effectiveness across both models and real systems. In so doing, we demonstrate that domain-specific knowledge of audio signal processing represents a practical means of generating successful hidden voice command attacks

Verification of Automata with Storage Mechanisms

An important question in computer science is to ask, whether a given system conforms to a specification. Often this question is equivalent to ask whether a finite automaton with certain memory like a stack or queue can reach some given state. In this thesis we focus this reachability problem of automata having one or more lossy or reliable stacks or queues as their memory. Unfortunately, the reachability problem is undecidable or of high complexity in most of these cases. We circumvent this by several approximation methods. So we extend the exploration algorithm by Boigelot and Godefroid under-approximating the reachability problem of queue automata. We also study some automata having multiple stacks with a restricted behavior. These “asynchronous pushdown systems” have an efficiently decidable reachability problem. To show our results we first have to gain knowledge of several algebraic properties of the so-called transformation monoid of the studied storage mechanisms.An important research topic in computer science is the verification, i.e., the analysis of systems towards their correctness. This analysis consists of two parts: first we have to formalize the system and the desired properties. Afterwards we have to find algorithms to check whether the properties hold in the system. In many cases we can model the system as a finite automaton with a suitable storage mechanism, e.g., functional programs with recursive calls can be modeled as automata with a stack (or pushdown). Here, we consider automata with two variations of stacks and queues: 1. Partially lossy queues and stacks, which are allowed to forget some specified parts of their contents at any time. We are able to model unreliable systems with such memories. 2. Distributed queues and stacks, i.e., multiple such memories with a special synchronization in between. Often we can check the properties of our models by solving the reachability and recurrent reachability problems in our automata models. It is well-known that the decidability of these problems highly depends on the concrete data type of our automata’s memory. Both problems can be solved in polynomial time for automata with one stack. In contrast, these problems are undecidable if we attach a queue or at least two stacks to our automata. In some special cases we are still able to verify such systems. So, we will consider only special automata with multiple stacks - so-called asynchronous pushdown automata. These are multiple (local) automata each having one stack. Whenever these automata try to write something into at least one stack, we require a read action on these stacks right before these actions. We will see that the (recurrent) reachability problem is decidable for such asynchronous pushdown automata in polynomial time. We can also semi-decide the reachability problem of our queue automata by exploration of the configration space. To this end, we can join multiple consecutive transitions to so-called meta-transformations and simulate them at once. Here, we study meta-transformations alternating between writing words from a given regular language into the queues and reading words from another regular language from the queues. We will see that such metatransformations can be applied in polynomial time. To show this result we first study some algebraic properties of our stacks and queues.Ein wichtiges Forschungsthema in der Informatik ist die Verifikation, d.h., die Analyse von Systemen bezüglich ihrer Korrektheit. Diese Analyse erfolgt in zwei Schritten: Zuerst müssen wir das System und die gewünschten Eigenschaften formalisieren. Anschließend benötigen wir Algorithmen zum Testen, ob das System die Eigenschaften erfüllt. Oftmals können wir das Systemals endlichen Automaten mit geeignetem Speichermechanismus modellieren, z.B. rekursive Programme sind im Wesentlichen Automaten mit einem Stack. Hier betrachten wir Automaten mit zwei Varianten von Stacks und Queues: 1. Partiell vergessliche Stacks und Queues, welche bestimmte Teile ihrer Inhalte jederzeit vergessen können. Diese können für unzuverlässige Systeme verwendet werden. 2. Verteilte Stacks und Queues, d.h., mehrere Stacks und Queues mit vordefinierter Synchronisierung. Häufig lassen sich die Eigenschaften unserer Modelle mithilfe des (wiederholten) Erreichbarkeitsproblems in unseren Automaten lösen. Dabei ist bekannt, dass die Entscheidbarkeit dieser Probleme oftmals stark vom konkreten Datentyp des Speichers abhängt. Beide Probleme können für Automaten mit einem Stack in Polynomialzeit gelöst werden. Sie sind jedoch unentscheidbar, wenn wir Automaten mit einer Queue oder zwei Stacks betrachten. In bestimmten Spezialfällen sind aber dennoch in der Lage diese Systeme zu verifizieren. So können wir beispielsweise bestimmte Automaten mit mehreren Stacks betrachten - so genannte Asynchrone Kellerautomaten. Diese bestehen aus mehreren (lokalen) Automaten mit jeweils einem Stack. Wann immer diese Automaten etwas in mind. einen Stack schreiben, müssen sie unmittelbar zuvor von diesen Stacks etwas lesen. Das (wiederholte) Erreichbarkeitsproblem ist in asynchronen Kellerautomaten in Polynomialzeit entscheidbar. Wir können zudem das Erreichbarkeitsproblem von Queueautomaten durch Exploration des Konfigurationsraums semi-entscheiden. Hierzu können wir mehrere aufeinanderfolgende Transitionen zu so genannten Meta-Transformationen zusammenfassen und diese in einem Schritt simulieren. Hier betrachten wir Meta-Transformationen, die zwischen dem Lesen und Schreiben von Wörtern aus zwei gegebenen regulären Sprachen alternieren. Diese Meta-Transformationen können in Polynomialzeit ausgeführt werden. Für dieses Ergebnis müssen wir jedoch zunächst verschiedene algebraische Eigenschaften der Queues betrachten

Compressed Representations of Conjunctive Query Results

Relational queries, and in particular join queries, often generate large output results when executed over a huge dataset. In such cases, it is often infeasible to store the whole materialized output if we plan to reuse it further down a data processing pipeline. Motivated by this problem, we study the construction of space-efficient compressed representations of the output of conjunctive queries, with the goal of supporting the efficient access of the intermediate compressed result for a given access pattern. In particular, we initiate the study of an important tradeoff: minimizing the space necessary to store the compressed result, versus minimizing the answer time and delay for an access request over the result. Our main contribution is a novel parameterized data structure, which can be tuned to trade off space for answer time. The tradeoff allows us to control the space requirement of the data structure precisely, and depends both on the structure of the query and the access pattern. We show how we can use the data structure in conjunction with query decomposition techniques, in order to efficiently represent the outputs for several classes of conjunctive queries.Comment: To appear in PODS'18; 35 pages; comments welcom

A Tutorial on Fisher Information

In many statistical applications that concern mathematical psychologists, the concept of Fisher information plays an important role. In this tutorial we clarify the concept of Fisher information as it manifests itself across three different statistical paradigms. First, in the frequentist paradigm, Fisher information is used to construct hypothesis tests and confidence intervals using maximum likelihood estimators; second, in the Bayesian paradigm, Fisher information is used to define a default prior; lastly, in the minimum description length paradigm, Fisher information is used to measure model complexity

Spartan Daily, October 16, 1986

Volume 87, Issue 35https://scholarworks.sjsu.edu/spartandaily/7492/thumbnail.jp