Proceedings of the 2017 International Conference on Applied Cognitive Computing

ACC'17 Table of Contents

Editor(s): Ken Ferens, Hamid R. Arabnia, Fernando G. Tinetti
ISBN: 1-60132-449-9 | Copyright © 2017 CSREA Press | United States of America


MULTI-AGENT TECHNOLOGIES, HUMANIZED SOFTWARE AGENTS, ROBOTICS, HUMAN MACHINE INTERACTION, AND APPLICATIONS

Robby the Soda-can-collecting Robot: a Reinforcement Learning Case Study 3-9
Hamid Reza Nasrinpour, Robert D. McLeod
The Preparation of an Intelligent Tutoring System for Relational Algebra 10-14
Feng-Jen Yang
A Simple Example of Emergence 15-18
Robert D. McLeod, Marcia Friesen
Multi-Attribute Task Battery for Human-Machine Teaming 19-24
Mohammed Thanoon, M. Saleh Zein-Sabatto, Charles McCurry
A Multi-agent Based Cognitive Approach to Unsupervised Feature Extraction and Classification for Network Intrusion Detection 25-30
Kaiser Nahiyan, Samilat Kaiser, Ken Ferens, Robert D. McLeod

MACHINE LEARNING, DEEP LEARNING, REINFORCEMENT LEARNING, NEURAL NETWORKS, FUZZY SYSTEMS, AND APPLICATIONS

A Computational Approach for Detecting Intrusion in Communication Network Using Machine Learning 33-40
Md Nasimuzzaman Chowdhury, Ken Ferens
An Adaptive IPFC Damping Controller Design for Low-Frequency Oscillation Enhancement: A Q-Learning Strategy 41-47
Hossein Shayeghi, Heidarali Shayanfar, Abdollah Younesi
Method of Ontology Data Automatic Generating for Semantic Interaction between IoT Resource 48-51
SuKyoung Kim, Wan Choi, KiHyoung Kim, YoungTaek Jin, KeeHong Ahn
A Modified Speech Enhancement Model Based on Deep Neural Networks 52-57
C. H. Lin, Bo-Wei Chen, De-Sheng Chen, Yiwen Wang
A Cognitive Multi-agent Model to Detect Malicious Threats 58-63
Danish Kaleem, Ken Ferens
NSGAII-Based Fuzzy PID Controller for Load Frequency Control of Multi-Microgrids 64-69
Hossein Shayeghi, Heidarali Shayanfar, Mehdi Esmaeili

POSTER AND POSITION PAPERS

Improving Cognitively Impaired People by Innovative Technologies 73-76
Luiza Spiru, Ileana Turcu, Mircea Marzan, Stefan Alexandru Sterea
A Study on Effective R&D Analysis Using Fuzzy Engineering & Cognitive Inference Systems 77-78
JaeHyuk Cho

 


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