We model a mobile agent system with a formalism called agent-oriented G-net. In this system, intelligent mobile agents (IMA) and intelligent facilitator agent (IFA) on an agent virtual machine (AVM) are viewed as communicating agents. Based on the communication protocols they follow, we design the intelligent mobile agent and intelligent facilitator agent as software entities that can communica...

background: the two most frequently diagnosed cancers among women worldwide are breast and cervical cancers. the objective of the present study was to classify the different countries based on the death rates from sex specific cancers. methods : in this cross-sectional study, we used dataset regarding death rate from breast, cervical, uterine, and ovarian cancers in 190 countries worldwide repo...

residential location choice modeling is one of the areas in transportation planning that attempts to examine households location search behavior incorporating their trade-offs between housing quality, prices or rents, distance to work and other key factors. this brings up the need to come up with methods to logically allocate credible choice alternatives for individuals.this article attempts to...

A low-cost optical sensor based on reflective color sensing is presented. Artificial neural network models are used to improve the color regeneration from the sensor signals. Analog voltages of the sensor are successfully converted to RGB colors. The artificial intelligent models presented in this work enable color regeneration from analog outputs of the color sensor. Besides, inverse modeling ...

Principles, approaches and methods by the authors are discussed in this paper for intelligent application of advanced engineering modeling in industrial CAD/CAM systems. The reported research started from earlier results in development of integrated feature based product modeling. Modeling methods are introduced and an active model is proposed that integrates knowledge from modeling procedures,...

This paper presents a proposal for the seamless integration of Intelligent Planning techniques into the life-cycle of BPM. The integration is intended to leverage current BPM techniques by allowing them to manage smart processes as adaptive business cases that can be automatically generated from original process models and executed in standard BPM runtime engines. The integration of such intell...

ii Preface The AIED'05 session of the SW-EL'05 workshop focuses on Semantic Web-based knowledge representation and engineering approaches and methods for the needs of intelligent learning systems and discusses issues related to their use for content and knowledge components specification, effective intelligent courseware construction and modelling the learner. The following topics are addressed...

The process of pollutant adsorption from industrial wastewaters is a multivariate problem. This process is affected by many factors including the contact time (T), pH, adsorbent weight (m), and solution concentration (ppm). The main target of this work is to model and evaluate the process of pollutant adsorption from industrial wastewaters using the non-linear multivariate regression and intell...

Emotion-oriented eCommerce is a new research field. Intelligent emotion recognition techniques based on modern mathematical models using computational intelligence are presented. Progression within this field of study is highlighted. The requirements for designing of intelligent emotion-oriented eCommerce systems are defined. A model for simulation of intelligent emotion-oriented eCommerce syst...

short-term traffic flow forecasting plays a significant role in the intelligent transportation systems (its), especially for the traffic signal control and the transportation planning research. two mainly problems restrict the forecasting of urban freeway traffic parameters. one is the freeway traffic changes non-regularly under the heterogeneous traffic conditions, and the other is the success...