Benford’s law predicts the frequency of the first digit of numbers met in a wide range of naturally occurring phenomena. In data sets, following Benford’s law, numbers are started with a small leading digit more often than those with a large leading digit. This law can be used as a tool for detecting fraud and abnormally in the number sets and any fabricated number sets. This can be used as an ...

Direct sales channels, environmental legislation, and liberal returns policies contributed to the growth of returns flows. However, there is still a lot of re required to enrich the domain by modeling a decision framework and develop integrated architecture for product return as an enterprise system. Most of the av literature on forward supply chain system focuses mainly on physical transaction...

In the course of developing a distributed logistics command and control application based on the Cougaar agent architecture@ttp://www.cougaar.org/). we were faced with a Iorge knowledge representation problem. The logistics agents needed to reason about many thousands of different types of logistics assets, where each asset had hundreds of attribuies. The problem is factorable, however, in that...

Radio frequency identification (RFID) has been widely used in supporting the logistics management on manufacturing shopfloors where production resources attached with RFID facilities are converted into smart manufacturing objects (SMOs) which are able to sense, interact, and reason to create a ubiquitous environment. Within such environment, enormous data could be collected and used for support...

One of contemporary big challenges in information systems are the issues associated with coping with and utilization of the vast amounts of data. In this position paper we present few research problems emerging in association with occurrence of big data, with focus on domain of logistics and supply chains. We also reveal a number of influence factors on supply chains design and management which...

The need for gathering real-time information in building and industrial environments has increased in recent years. In the building environment, along with automatic utility meter reading, other information is increasingly needed e.g. room temperatures or device conditions. In the industrial environment, for instance in the paper industry, information on paper reel locations is essential when d...

It is widely anticipated that the full value of data in electronic health records will come from mining clinical notes. In practice, in order to perform data-mining studies, we need to process and analyze more than 10 million notes even for our relatively small population of patients at Stanford. Using wellknown NLP tools, this processing would either take years or require the kind of horsepowe...

introduction: brain computer interface (bci) systems based on movement imagination (mi) are widely used in recent decades. separate feature extraction methods are employed in the mi data sets and classified in virtual reality (vr) environments for real-time applications. methods: this study applied wide variety of features on the recorded data using linear discriminant analysis (lda) classifier...

this work aims to extract the mineralogical constituents of the lahroud hyperion scene situated in the nw of iran. like the other push-broom sensors, hyperion images suffer from spectral distortions, namely the smile effect. the corresponding spectral curvature is defined as an across-track wavelength shift from the nominal central wavelength, and alters the pixel spectra. the common “column me...