Abstract: The invention concerns an image processing device, including an input for receiving a time series of data sets representing comparable volume digital images, each data having a position component and an intensity component, pre-processing means for modifying the data sets so as to obtain images updated in position and intensity, and comparative processing means for examining sets of time series of image elements and to detect therein signs of variations. The processing means include a modeling function for adjusting a parametric model separately on some of the sets of time series of image elements, to obtain pairs of data (image element, time) and a function for statistical analysis of said pairs of data to isolate the pairs of data representing a significant variation.

Abstract: A defined contribution benefits tool having various embodiments interfaces employers, employees, brokers and benefits suppliers. Suppliers provide product information. An employer creates an employer profile indicating the categories of benefits to offer, which categories are required, which categories the employer will contribute to, and the contribution range for the categories. Based on the profile (and from other available products), a portfolio recommendation that essentially meets the requirements is generated. Based on the portfolio recommendation, the employer chooses a set of products as its benefits portfolio. Employees create an employee profile allocating the total employer contribution among a set of benefit categories. A package recommendation that essentially meets the requirements set forth in the employee's profile is generated. From this recommendation (and from other available products), the employee chooses his or her benefits package.

Abstract: The invention concerns an image processing device, including an input for receiving a time series of data sets representing comparable volume digital images, each data having a position component and an intensity component, pre-processing means (18) for modifying the data sets so as to obtain images updated in position and intensity, and comparative processing means (20) for examining sets of time series of image elements and to detect therein signs of variations. The processing means (20) include a modeling function (12) for adjusting a parametric model separately on some of the sets of time series of image elements, to obtain pairs of data (image element, time) and a function for statistical analysis (14) of said pairs of data to isolate the pairs of data representing a significant variation.

Abstract: A defined contribution benefits tool having various embodiments interfaces employers, employees, brokers and benefits suppliers. Suppliers provide product information. An employer creates an employer profile indicating the categories of benefits to offer, which categories are required, which categories the employer will contribute to, and the contribution range for the categories. Based on the profile (and from other available products), a portfolio recommendation that essentially meets the requirements is generated. Based on the portfolio recommendation, the employer chooses a set of products as its benefits portfolio. Employees create an employee profile allocating the total employer contribution among a set of benefit categories. A package recommendation that essentially meets the requirements set forth in the employee's profile is generated. From this recommendation (and from other available products), the employee chooses his or her benefits package.