5153 research outputs found
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Image processing tasks applied to robot vision system and path discovery (March 2016)
No full text© ASEE 2016This work presents the project of a mobile robot with an attached handler, programmed to collect small objects in the near area. The robot takes photos –is able to process a constant stream of images– of the surround area searching for objects, and goes to the nearest one to collect. After collecting, the robot has to put the object in a specified place. The robot will keep searching for objects and moving while on. The image processing job is to do a contrast between the floor color and the colors of the objects, and then the algorithm provides the location to move on. The project is built with a Raspberry Pi/Raspbian platform running a python program that uses the OpenCV library to process images and parameters used to guide the robot, a simple webcam that provides high resolution images, and the motors as final actuators to control the movement of the robot and the handler.CAPES (Brazil government regulated agency) and II
Epilepsy seizure detection using EEG signals
No full textEEG signal processing involves multiple algorithms in which epileptic data is received in the MATLAB environment and needs to be processed in order to obtain a perfectly filtered waveform and process it in both the time and frequency domain. In our work we have shown the EEG signal in the frequency domain using Fast Fourier Transform and its absolute value. Using Wavelet decomposition technique we divide the EEG signal into different sub-level bands then the lowest frequency sub-band was selected to perform feature extraction. Discrete Wavelet Transform (DWT) was applied and Vector Analysis was used for feature extraction and then we have used Inverse Discrete Fourier Transform to transform from frequency to time domain so that frequency analysis of the feature extracted EEG signal could fetch the best results. We have used the lowest frequency band possible between 1 and 3.45 Hz which could be the smallest possible in order to either classify a signal or to apply threshold and compare the results. In order to verify our work, we are comparing our results with some of the mostly used classifiers results even though classifiers do not show frequency analysis
The Diffusion of Contention in Contemporary China: An Investigation of the 2014-2015 Wave of Teacher Strikes
No full textThe article examines a wave of teachers’ strikes that spread across China during the fall, winter and spring of 2014-2015. Looking at event data and social media coverage of the wave, it discusses how social media enabled protesters to carry out media-savvy campaigns that involved both online and offline tactics, draw inspiration from claimants in faraway protest sites, and emulate tactics, slogans and symbols from other locations. The episode indicates that claimants in contemporary China are utilizing new media to break the geographic bounds of localized protests, and while falling short of nationally coordinated protest movements, are able to generate widespread, cross-regional protest waves that place greater pressure on subnational authorities to give in to protester demands. These cross-regional protest waves present a third category of “widespread” protests in China that are distinct from parochial/localized protests and national protest movements
Wage Against the Machine: A Generalized Deep-Learning Market Test of Dataset Value
No full textPhilip Maymin's poster on a deep learning market test on a NBA dataset
Automated Adaptive Mobile Learning System using the Semantic Web
No full textELearning (Electronic Learning) and m-learning (Mobile Learning) systems are online learning platforms. In our research we are modeling them as a weighted directed graph where each node represents a course unit. A directed graph represents an accurate picture of course descriptions for online courses through the computer-based implementation of various educational systems. The Learning Path Graph (LPG) represents and describes the structure of domain knowledge, including the learning goals, and all other available learning paths. In this paper, we propose an adaptive m-learning system architecture and a conceptual framework that uses the Semantic Web to obtain the students’ data from other educational institutions. This process will enable the educational institutions to communicate and exchange students’ data, and then use this information to adjust the students’ profiles and modify their learning paths. The Semantic Web will create a more personalized dynamic course for individual students according to their ability, educational level, and experience
Desires to Achieve and Fit In: Social motives predict adjustment to college
No full textAnne-Fried Drath's poster on social bonds, social motivation, and achievement motivation as a predictor of adjustment to college
Diagnostic Training in Clinical Mental Health Counseling Programs: Wrestling with the Identity Dialectic
No full textThe term Clinical Mental Health Counseling (CMHC) presents a dialectic (or unification of opposing truths) as the word “clinical” embodies diagnosis of illness in patients whereas professional counseling is rooted in developmental models of client issues, a humanistic stance and a wellness focus (Sweeney & Myers, 2005). Present day CMHC counselor educators have the task of creating a curriculum that facilitates students’ development of an identity that incorporates this dialectic. Ideally the CMHC graduate should be grounded in wellness and developmental models, understand the role of culture/environment in individual adaptation, adopt humanistic values and at the same time be prepared to diagnose and treat mental illness. Nearly 30 years ago West and colleagues (1988, p. 223) surveyed 150 mental health agencies regarding the role of counselors in these agencies and concluded that “counselor preparation should be strengthened in 4 areas: knowledge of psychotropic medication, psychopathology, individual assessment, and use of the Diagnostic and Statistical Manual of Mental Disorders.” The research examines CMHC programs and state licensing requirements in the light of this conclusion. The manner in which CACREP accredited CMHC programs deliver diagnostic and related clinical training in the 2-4 year Master’s degree plan is thoroughly explored. As these programs prepare students to work in jurisdictions supervised by licensing boards, this study also investigated licensing requirements for the 51 boards in the Continental US, Alaska and Hawaii. The following questions guided the research plan: 1. Do most programs offer a diagnostics (or psychopathology) course? 2. Where in the sequence is the diagnostics course situated? 3. Is the diagnostics course a prerequisite for fieldwork (practicum/internship)? 4. Do licensing requirements and credential titles reflect the identity dialectic
Chiropractic clinical reasoning in a patient with cervical radiculopathy
No full textThis poster presents the successful evidence-based diagnosis and treatment of a patient with cervical radiculopathy (CR) in a chiropractic setting
Bioprinting Using Dual Injection Multi-dimensional Embedding Of Hydrogels
No full textBiological printing (bioprinting) is a process used by tissue engineers to efficiently produce living tissue and organs. Current methods of bioprinting rely on standard three axis 3D printing techniques using free standing printed structures, which limits the ability to print multidimensional soft tissue structures. In order to overcome this limitation we have developed a system capable of printing into a biocompatible, degradable, hydrogel substrate, which acts as the supportive material for biological inks (bioinks). We have also created our own hydrogel based bio-ink, capable of solidifying and maintaining its printed structure within the substrate. Our bioprinter also features a new technique for angular printing, allowing any necessary material to be added to the printed structure from any angle, without disturbing the structure
Design and Simulation of a Multiple Filament Extrusion System
No full textThe new improvement and development of 3D printing process requires flexibility to deal with multiple filaments and reliable extrusion system to save operation cost and printing time, and increase the print quality and the printer durability. This poster presented an alternative mechanism design for handling different number of filaments with a universal extruder, the mathematical model for the extrusion system depending on the polymeric flow equations and the internal extruder's geometry, the concept of optimizing the printing parameters through the pre-movement phase for any kind of filaments, and the control model in order to get the system compatibility