Abstract: The present invention provides for an image display device, capable of producing a simulated 3-D image, integrated with a customer demographic data collection system that gathers user information by using video mining software and an advertising system that communicates the desired message to the user. The present invention allows for immediate, near real-time data collection for interpretive analysis while simultaneously delivering messages through an innovative advertising medium. The image display device allows for user interaction that can be detected via a sensor and interpreted via an information processing device. Customer demographic data collected include, but not limited to, age range, gender, ethnicity, number of users, time spent waiting in queue, number of impressions, time of impressions, number of touch screen hits, and number of image hits.

Abstract: An image display device includes a case with an opening, a luminous source image display displaying a first image, and a focusing element. The focusing element is positioned within the case, and includes a concave mirror and a mirror supporter that supports the concave mirror. The mirror supporter includes a mirror cradle. The mirror screen is mounted on the arms of the mirror cradle. The mirror cradle includes a buffering pad at the tip of each arm, and the buffering pad includes adhesive parts on both surfaces. The tip of the arms of the mirror cradle is attached to the back of the mirror screen, and the attachment is achieved with a surface contact. The mounting holes on the top and bottom plates are oblong. The oblong mounting holes are adapted to adjust the mounting position of the mirror screen of the image display device.

Abstract: A corn plant is evaluated by a six-step method. The first step is to select a population of mature corn plants to be evaluated. A limited number of representative plants from the population are then selected. The representative plants are then harvested by cutting them near the ground. The plants are then ground into a homogeneous mixture. A sample of the homogeneous mixture is then analyzed in a near infrared spectrometer. The analysis is then compared with an existing correlation between near infrared analyses and wet-test chemistry tested nutritional compositional characteristics to predict the compositional characteristics of the corn plant population.