DIGITAL ELECTRONICS LABORATORY- LAB2 ... RT-level Combinational Circuit
Design ... Digilent Basys2 FPGA Board, Xilinx ISE WebPack, Mentor Graphics ...
Using the editor of ISE, write a Verilog module such that LEDs on Basys2.
Experiment 1, page 1. Version of August 5, 2013. Experiment 446.1. SURFACE
TENSION OF LIQUIDS. Theory. To create a surface requires work that changes ...
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Component-Level Repair During Spaceflight. John W. Easton. National Center for Space Exploration Research. Glenn Research Center. Cleveland, Ohio 44135.
Page 1. 0. Monograph on Green Chemistry. Laboratory Experiments. Green Chemistry Task Force. Committee, DST. 0. Page 2. 1. PREFACE.
Oct 20, 2009 - Pliocene Model Intercomparison Project. (PlioMIP): experimental design and boundary conditions (Experiment 1). A. M. Haywood. 1.
links between the fall of the Finnish markka in 1992 and the subsequent attack on the Swedish krona, they consider two countries linked together by trade in.
test block and release it quickly allowing it to penetrate into the block and note ....
To test the workably of freshly concrete, compaction factor test is carried out.
Hans Lee Jie. 1. , Hui-Minn Chan. 1 ..... can affect the results found in cue competition experiments (e.g. Waldmann &. Holyoak, 1992), although some ...
Background: Colligative properties are properties of a solvent, such as freezing
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world (Prinzel, Comstock, Glaab, Kramer, and Arthur, 2004). It is unclear, however, how such changes in display size will affect flight control and judgments of ...
Wolfson Research Institute at the University of Durham, UK. We would also like to thank Simon P. Liversedge and John M. Findlay for their helpful comments.
DONALD J. SALMON, JOSEPH J. PEAR, AND BEvERLEY A. KUHN. ST. AMANT ... of the St. Amant Centre, Dr. Carl Stephens, Director of. Psychology of theSt.
Joseph K. Kearney and James F. Cremer. Computer Science Department. The University of Iowa [email protected][email protected]. Abstract.
The distal stump of a peripheral nerve including the epineurium, endoneurium, and proliferation of Schwann cells can be lengthened directly. This method also ...
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The graded naming test (Windsor, Berkshire: NFER-. Nelson). Nelson, H.E. (1976). A modified card sorting test sensitive to frontal lobe defects. Cortex 12, 313-.
Aug 9, 2015 - Samuel Sparks. Ada Kritikos. Motor Priming ... attention (Bargh, 1992; Cohen, Dunbar, & McClelland, 1992). Selective Attention. (Chong et al.
classmates have come to the market to buy and sell apples. Your objective is to
make as much profit as possible. Buying and Selling. At the beginning of today's
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significant figures displayed on an instrument are an indication of the precision of
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percentage point with responses of 50% made impossible. Payoffs were ..... may be somewhat unstable starting with the third decimal place. Thus, we also ...
1.2 Overview Overview. This exercise is to introduce the students to the celestial coordinate system and its application
The infrared spectrum of a sunspot is analyzed in the L -band region 3.1Ñ 4.0 km (2497Ñ 3195 cm~1) and 2.02Ñ 2.35 .... We maintain lists of experimental energy levels for this purpose ..... Engineering Research Council of Canada (NSERC), the.
postersession.com. ⢠Augmentative and Alternative Communication (AAC) apps enable non- ... development of AAC applications to assist individuals with ASD,.
An exploratory analysis targeting diagnostic classification of AAC app usage patterns Adham Atyabi, Beibin Li, Yeojin Amy Ahn, Minah Kim, Erin Barney, Frederick Shic Seattle Children’s Innovative Technologies Lab (SCITL), Seattle Children’s Research Institutea Department of Pediatrics, University of Washington Introduction
FreeSpeech
• Augmentative and Alternative Communication (AAC) apps enable nonspeech communicative forms. • Speech-generating devices (SGDs) -icons/pictures are tapped to produce spoken words. • SGD apps are widely used to support communication and language learning for individuals with disabilities such as autism spectrum disorder (ASD. • Objective: To evaluate several feature representations of usage patterns, coupled with data mining and data modelling techniques, for identifying differences in AAC usage patterns between users with and without ASD. • The study was conducted using data streams aggregated from an AAC app called FreeSpeech.
Problem Statement
Experimental Design & Results
• FreeSpeech was an AAC iPad application employed to foster communication skills and help people with speech and language disorders to communicate with others. • Nonverbal communication was facilitated through the selection of a sequence of words/images that shape meaningful phrases. Figure 1 depicts a screenshot of this app in action. • The application was released in January 2012 and terminated in May 2014. Overall 6033 individuals used the application. • Current analysis is performed using the data from 5372 users (Jan. 2012-Jan. 2014). • Given that the app’s usage information was originally collected for developer’s debagging purposes and the application was not meant to be employed as a diagnosis or treatment tool, little attention been given to the data structure and representation during the app development. • Diagnosis information was collected via self-report survey in the app (see a graphical representation in Figure 2).
• Although substantial effort and attention is diverted towards development of AAC applications to assist individuals with ASD, these apps are not designed with usage analytics in mind. • The development of AAC applications mostly focuses on providing an accessible mechanism for individuals to have daily and routine trainings to improve their performances. • Analysis of users’ performance is usually done as a self-assessment or is conducted by caregivers and medical professionals using psychological/physical/clinical measures. • This study is focuses on • exploring the existing data mining and machine learning data analysis procedures, • identifying suitable mechanisms for data representation of such usage recordings, • assessing the existing potential of such procedures for prediction of users’ medical diagnoses.
Fig 1: A screenshot from the FreeSpeech app
Fig. 2: Distribution of FreeSpeech app users based on their self-disclosed diagnoses
• As reported in Table 1, the initial statistical analysis of usage patterns only found a single, weakly significant difference between the ASD and non-ASD groups in the frequency of word selection (p
