The major function of this model is to access the UCI Wisconsin Breast Cancer data-set[1] and classify the data items into two categories, which are normal and anomalous. This kind of classification can be referred as anomaly detection, which discriminates anomalous behaviour from normal behaviour in computer systems. One popular solution for anomaly detection is Artificial Immune Systems (AIS)...

Background: Computerised Physician Order Entry (CPOE) systems have the potential to lead to improvements in the quality and efficiency of health care delivery. However, CPOE systems have been found to be difficult and complex to implement and there has been an increased awareness of the need for rigorous evaluation techniques. To date pathology CPOE systems have not been widely researched or ev...

In this study, a behavioral influence model based on cognitive theory was developed to investigate foremen’s influences construction workers’ safety behavior. the model, three foreman behaviors were considered, such as leading by example (LE), teaching (ST), and monitoring (SM). Five stages of worker are also considered in situation awareness, knowledge, subjective norm, attitude, taking action...

The short shelf-life of platelets together with their stochastic demand and variable supply create problematic decision making for inventory managers who seek to maintain optimal stock levels. This paper develops a novel simulation model that acts as support tool identifying levels guarantee the availability and, eliminate wastage outages within platelet chain. A multi-method approach is deline...

Background. The problem of this work is to develop a methodology for calculating cash throughput, which based on the well-known formulas main innovation take into account time spent by trains acceleration and deceleration en route. Currently, in process available capacity, formal approach used determine removal coefficients, site speed also taken account, calculated taking deceleration, but rep...

Background. The problem of this work is to optimize the currently used methods for calculating available bandwidth based on analytical calculations by building a simulation model in AnyLogic software package. Most scientists are working issues laying traffic schedule without taking into account complex related predictive modeling and improving accuracy capacity.
 Materials and/or methods: ...

This paper may be considered as a practical reference for those who wish to add (now sufficiently matured) Agent Based modeling to their analysis toolkit and may or may not have some System Dynamics or Discrete Event modeling background. We focus on systems that contain large numbers of active objects (people, business units, animals, vehicles, or even things like projects, stocks, products, et...

Water emission trading (WET) is promising in sustainable development strategy. However, low participation impedes its development. We develop an evolutionary game model of two enterprise populations’ dynamics and stability in the decision-making behavior process. Due to the different perceived value of certain permits, enterprises choose strategy (bidding for permit) or strategy (not bidding). ...

A study on the pedestrian’s steering behaviour through a built environment in normal circumstances is presented in this paper. The study focuses on the relationship between the environment and the pedestrian’s walking trajectory. Owing to the ambiguity and vagueness of the relationship between the pedestrians and the surrounding environment, a genetic fuzzy system is proposed for modelling and ...

Data collection methods used for localization in healthcare facilities involving human data collection often tend to generate inconsistent and ambiguous data. To address these issues, an automated ceiling mounted mobile Real-Time Location System (mRTLS) is proposed. The system utilizes mobile Radio Frequency IDentification (RFID) and is evaluated using agent based modeling. A prototypical agent...