The paper describes a redesign project undertaken in a short period to adapt a software system to user needs. Additional goals of the project included a shift to Open Source software and the selection of technology to enable sustainable system development. The paper chronologically describes all phases of the project and provides reasons for all decisions taken during the development process. T...

The article considers the methodology of image analysis using several methods artwork from periods ancient world to 16th century, where a child and its clothing based on are considered chronologically for first time. also an algorithm designing products children's segment.

Chinese language sources covering the period from earliest times to early Middle Ages have been compiled. These were chronologically created between 22nd century BC and XIX AD. The properties of studied. Information about their copies editions has collected.

This paper presents the dialogue component of the speech translation system verbmobil. In particular, it describes the Dialogue Memory which has been developed to represent contextual information acquired during dialogue processing. Information is stored both chronologically, i.e. in the order of appearance (in the Sequence Memory) and conceptually (in the Thematic Structure). We show how the D...

Web based calendars are a very intuitive way to organize and present large sets of chronologically related reporting objects. Each day or period of time becomes a link to the related content. Cell attribution, such as background colors (traffic lighting) and or pop up values, can also be used to enhance the information content for a calendar cell. This paper will show how SAS Proc Report can be...

This papers explores, usage of Marketing ROI (Return on Investment), in online environment pertaining to key business issues in online marketing function. It chronologically evaluates different practices and avenues of marketing ROI, resulting into the evolution of certain key parameters and their respective methodologies of evaluation. The paper concludes with the proposed framework achieved t...

We provide a method for automatically detecting change in language across time through a chronologically trained neural language model. We train the model on the Google Books Ngram corpus to obtain word vector representations specific to each year, and identify words that have changed significantly from 1900 to 2009. The model identifies words such as cell and gay as having changed during that ...