Traffic sign recognition is a difficult task if aim is at detecting and recognizing signs in images captured from unfavorable environments. Complex background, weather, shadow, and other lighting-related problems may make it difficult to detect and recognize signs in the rural as well as the urban areas. Two major problems exist in the whole detection process. Road signs are frequently occluded...

SISTER: A SYMBOLIC INTERACTIONIST SIMULATION OF TRADE AND EMERGENT ROLES Deborah Vakas Duong George Mason University, 2004 Thesis Director: John Grefenstette SISTER, a Symbolic Interactionist Simulation of Trade and Emergent Roles, captures the fundamental social process by which macro level roles emerge from micro level symbolic interaction. SISTER may be used for the computational social scie...

It is quit difficult to improve the performance of urban traffic signal control system efficiently by using traditional methods of modeling and control because of time-variability, non-linearity, fuzzyness and nondeterminacy in the system. It becomes the research hotspot in this area to apply artificial intelligence methods to urban traffic signal control system. This paper, based on analysis f...

The evaluation of the psychophysiological state of the interlocutor is an important element of interpersonal relationships and communication. Thermal infrared (IR) imaging has proved to be a reliable tool for non-invasive and contact-less evaluation of vital signs, psychophysiological responses, and emotional states. This technique is quickly spreading in many fields, from psychometrics to soci...

Received Jun 18, 2017 Revised Nov 27, 2017 Accepted Dec 19, 2017 The artificial neural network used to detect the fault in electrical machines and can increase the function of new entry detection when compared to the conventional method. In proposed artificial neural network has increased the precision and stability of system performance. The time-area vibration signs of a pivoting machine with...

In this study, we developed a feasible structure of a textile-based inductive sensor using a machine embroidery method, and applied it to a non-contact type vital sign sensing device based on the principle of magnetic-induced conductivity. The mechanical heart activity signals acquired through the inductive sensor embroidered with conductive textile on fabric were compared with the Lead II ECG ...

Purpose Studies showed that a proactive delivery system employing innovative artificial intelligence (AI) in urban services might perform better. This has become an important national policy for many countries. Thus, this study aims to explore the influence of AI Malaysia. Design/methodology/approach Official documents such as Structure Plan and Government Transformation Programme Policy Docume...

Abstract The research focuses on the application of AI in field urban morphology. takes blocks as a case study and treats block-related high-resolution images data. aim is to train an model automatically detect block conduct further quantitative analysis.

Glocalization is a point where globalization enters communities or phenomena of different styles, cultures and traditions, including the fine arts architecture. Artificial glocalization search application specific forms-signs, creation set characteristics symbolizing local tradition. Natural occurs when national culture on rise ready to accept any innovations without loss identity, it not forms...