Abstract: The Automated Roof Runoff Management System mitigates the impact of storm water overwhelming existing infrastructure to handle it by automatically retaining storm water on roofs and releasing it at times where the system has adequate capacity to handle the retained water.

Abstract: An automated facilities management system has the ability to predict occupant behavior by identifying recurring patterns in the way that people use buildings and comparing them with environmental characteristics. This technology is not limited to human behavior patterns, but extends to any mechanical systems or data points that tend to vary in recurring patterns. The data processing is carried out by rules engines triggered by relational database modifications.

Abstract: An automated facilities management system has the ability to predict occupant behavior by identifying recurring patterns in the way that people use buildings and comparing them with environmental characteristics. This technology is not limited to human behavior patterns, but extends to any mechanical systems or data points that tend to vary in recurring patterns. The data processing is carried out by rules engines triggered by relational database modifications.

Abstract: An automated facilities management system has the ability to predict occupant behavior by identifying recurring patterns in the way that people use buildings and comparing them with environmental characteristics. This technology is not limited to human behavior patterns, but extends to any mechanical systems or data points that tend to vary in recurring patterns. The data processing is carried out by rules engines triggered by relational database modifications.

Abstract: An automated facilities management system has the ability to predict occupant behavior by identifying recurring patterns in the way that people use buildings and comparing them with environmental characteristics. This technology is not limited to human behavior patterns, but extends to any mechanical systems or data points that tend to vary in recurring patterns. The data processing is carried out by rules engines triggered by relational database modifications.

Abstract: An automated facilities management system has the ability to predict occupant behavior by identifying recurring patterns in the way that people use buildings and comparing them with environmental characteristics. This technology is not limited to human behavior patterns, but extends to any mechanical systems or data points that tend to vary in recurring patterns. The data processing is carried out by rules engines triggered by relational database modifications.

Abstract: An automated facilities management system has the ability to predict occupant behavior by identifying recurring patterns in the way that people use buildings and comparing them with environmental characteristics. This technology is not limited to human behavior patterns, but extends to any mechanical systems or data points that tend to vary in recurring patterns. The data processing is carried out by rules engines triggered by relational database modifications.

Abstract: A scale accessory 102 includes a shelf 200 supported substantially coplanar with the weighing tray 150 of a scale 100. The shelf 200 extends a dimension of the weighing tray 150 and may be used to support a portion of the article to be weighed 550. A first portion 552 of the article to be weighed is supported on the weighing tray 150 and a second portion 554 of the article to be weighed is supported on the shelf 200 such that the weighing tray 150 only weighs the first portion 552. Proximate edges of the shelf 200 and the weighing tray 150 are separated by a slot 400 that forms a cutting or marking guide between the first portion 552 and the second portion 554. The scale accessory 102 allows a user to accurately weigh a portion of a large article such a fish or meat filet, mark a severing line 556 on the filet and then cut the filet along the severing line.