We use a search procedure called content analysis to determine the benefits of RFID in the retail sector. Content analysis classifies textual material, such as academic articles, and reduces them to manageable data. We find that the key RFID retailer benefits are better management of inventory, improved security, better operational efficiency, and reduced cost. We also find the key RFID busines...

Social media sources are becoming increasingly important in journalism. Under breaking news deadlines semi-automated support for identification and verification of content is critical. We describe a large scale content-level analysis of over 6 million Twitter, You Tube and Instagram records covering the first 6 hours of the November 2015 Paris shootings. We ground our analysis by tracing how 5 ...

We investigated the notion of “popularity” for machine-generated sentences. We defined a popular sentence as one that contains words that are frequently used, appear in many documents, and contain frequent dependencies. We measured the popularity of sentences based on three components: content morpheme count, document frequency, and dependency relationships. To consider the characteristics of a...

This paper proposes a watermarking algorithm based on correlation to authenticate image content. The original image is converted to YIQ space first, then subdivided into 8× 8 non-overlapping blocks. DCT transform is executed on each block. The watermark sequence is derived from certain low frequency coefficients. It is hided into the middle frequency DCT coefficients of another pseudo-randomly ...

There has been widespread use of auto-ID technologies for firm-side applications and operations, such as inventory control. With the increasing diffusion of smartphones, the potential to serve content to shoppers using auto-ID technologies is starting to receive interest among technology firms and retailers alike. Using a design science approach, we design and build, theorize about, and compare...

In this paper, we propose a ubiquitous product rating system. First we provide an overview of state-of-the-art product recommendation, concluding that current approaches do not support in-store consumers; i.e. consumers on the shop floor. Within shops however is where three out of four buying decisions are made. Hence we propose APriori, a new approach towards mobile product recommendation. APr...

Broadband electromagnetic frequency or time domain sensor techniques present high potential for quantitative water content monitoring in porous media. Prior to in situ application, the impact of the relationship between the broadband electromagnetic properties of the porous material (clay-rock) and the water content on the frequency or time domain sensor response is required. For this purpose, ...

The palpable computing paradigm aims to support user control by composing and decomposing assemblies of devices and services, which communicate and exchange data. As a product of a research project, conducted by University of Siegen and Fraunhofer Institute of Applied Information System, we have developed a Context-Aware Adaptable System (CAAS) architecture. This architecture has both adaptive ...

With the development of economy, car ownership was increasing, traffic and vehicle management have more and more pressure. In order to realize intelligent management for vehicle conveniently and effectively, the vehicle safety management system based on RFID technology was studied. The RFID technology was introduced, the design principles and the system function were analyzed, and the overall s...

Objective. To examine the frequency domain characteristics of the ground reaction forces of young and elderly females during free walking. Design. Independent t-tests were used to examine the frequency content of all three components of the ground reaction force. Background. Frequency domain analysis has the potential to assist in identifying changes in gait that may be masked in the time domai...