Third International Conference on Artificial Intelligence & Applications (ARIA-2016)
Venue : Pullman Sydney Hyde Park, February 6 ~ 7, 2016, Sydney, Australia
- Application of Artificial Intelligence in Digital Music
Yifan, Zeng1, Junhui, Gao2, 1Wuxi Big Bridge Academy, Wuxi, Jiangsu Province, China and 2 Shanghai Center for Bioinformation Technology°§Shanghai, China
ABSTRACTThe application of artificial intelligence has aided the development of many different fields. The most recognized applications are in science-tech re-lated fields, but in fact, artificial intelligence has applications in some art related fields such as digital music, which is a combination of art and computer science. The passage discusses multiple application of artificial intelligence in digital mu-sic, analyzes the maturity of contemporary technologies, and makes a conclu-sion of those applications and its development prospect.
- An optimization algorithm for High Sparse Object-attribute subspace
Qin Zhu, Wang Xun and Xie jianglin , School of Management, Nanchang University, Nanchang City, China
ABSTRACTIn the light of many zero value of attributes in the sparse subspace, a novel idea is firstly
proposed to optimize the sparse object-attribute subspace; then a removing Non-Associated Subspace
algorithm based on unique binary sequence code( RNASAUBSC) is proposed in this paper, the core of
the algorithms relies one identifying and removing the Non-Associated Subspace; Finally the
properties of this algorithm are investigated and the performance is evaluated experimentally using
artificial high-dimensional datasets. Experimental results on synthetic datasets demonstrate that the
proposed RNASAUBSC algorithm is effective and accurate.
- Multiagent System for Scrutiny of Admission forms Using Automatic Knowledge Capture
Puneet Modgil,M. Syamala Devi, Panjab University, Chandigarh, India
ABSTRACTMultiagent Systems are autonomous intelligent systems. In many academic institutions student admissions are performed after generating merit lists. Generation of merit lists is preceded by manual scrutiny of admission forms. This manual scrutiny is a knowledge-intensive, tedious and error-prone task. In this paper the design, implementation and testing of Multiagent System for Scrutiny of Admission Forms (MASAF) using Automatic Knowledge Capture is presented. MASAF consists of three agents namely: Form agent, Record agent, and Scrutiny agent. These three agents, using ontology, cooperatively fulfill the goal of highlighting the discrepancies in filled forms. MASAF has been tested by scrutinizing about 1000 forms and all of discrepancies found were correct as verified by human scrutinizer. Thus it can be concluded that using Multiagent system for scrutiny of forms can reduce human intervention, improve performance in terms of speed and accuracy. The system can be enhanced to automatically correct the discrepancies in forms.
- Computer Vision Based Smoke Detection Method by Using Colour and Object Tracking
Ung Hwang and JechangJeong , Hanyang University, Seoul, Korea
ABSTRACTTo reduce the damage from fire disaster, demand for automatic detection system by using computer vision technique is increasing. But because of false detectionsthat are caused by various situations, it is hard to use in real. In fire detection area, to overcome this problem, the algorithm using several temporal and spatial information of object is proposed. Colour, brightness, and movement information is used to make relevant smoke detection algorithm. And continuous monitoring for several constraintsis used to avoid false detections that are caused by unexpected behaviour of object. In experimental result, total 11 videos that have smoke and the other 2 videos that have no smoke is used for test performance of proposed method. It shows relevant performance for false detection and could detect almost fire in video.
- Modeling and Simulation of Emotion-Driven Attention for Social Robots
Tan Guan-Zheng1, Mei Ying1,2, and Liu Zhen-Tao2 , 1School of Information Science and Engineering, Central South University Changsha , China,2 Hunan University of Arts and Science,Changde , China,3, China University of Geoscience, Wuhan ,China
ABSTRACTMost methods of attention control for social robots ignore the influence of internal emotion. In this paper, we present an Emotion-Driven Attention (EDA) model for a social robot, which enables the robot to pay attention to the attractive person. The person°«s facial expression can be recognized by the robot, which is considered as a social cue to trigger a corresponding emotion of the robot by cognitive appraisal process. The robot°«s emotion is used to regulate the attention model parameters for guiding the robot°«s visual attention. We estimate the proposal with three simulated scenarios, the dynamic variations in attention intensity based on different emotional states are shown with graphs. Also, we design a virtual facial robot to simulate facial expressions and visual attention to show the effectiveness of the proposed model.
- Conventional MPPT and a control system Photovoltaic by Fuzzy Logic
Wassila Issaadi, Electronics and Telecommunications University A_Mira of Bejaia , Algeria
ABSTRACTThis work presents the principle of command MPPT. Most Used control technology of MPPT are reviewed and studied, such as: observation and disturbance ( O & P) and incrementing conductance (IC). The objective of this study is the association of the command by the fuzzy logic to MPPT control and analyze and compare its behavior in relation to other techniques ( O & P ,IC) used in control systems photovoltaics.