U S West Advanced Technologies, Inc.

University of Colorado

Lu Lu

Louis A Cox, Jr

Yuping Qiu

Zhiyong Ren

George E Tegan

The present invention relates to the unexpected discovery of systems for capturing carbon dioxide and producing hydrogen gas. In certain embodiments, the system treats wastewater. In certain embodiments, the system captures and sequesters COas carbonate salts.

Carbon dioxide capture and storage electrolytic methods

A method is disclosed for use in cooperation with a computer having memory in a Synchronous Optical Network (SONET) for generating an optimized transition plan for the placement of Self-Healing Rings (SHR) and the routing of point-to-point demand in accordance with projected customer demand over a selected multi-period time interval. By determining the number of nodes within a SONET, the demand therebetween over selected time interval as well as the discounted add-drop cost for a plurality of selected Add-Drop Multiplexers (ADMs), a set of logical rings as well as a set of physical rings and detailed routing information may be obtained and graphically illustrated. Logical rings may be determined by optimizing discounted fixed and interconnection costs for the plurality of ADMs in accordance with a selected mixed integer program to generate a corresponding electrical signal for receipt by the computer memory. Thereafter, the placement of physical self-healing rings, the cash flow out and optimal traffic routing may be determined in accordance with a second selected mixed integer program whereupon a second electrical signal may be generated corresponding thereto. Utilizing a heuristic approach, where the number of nodes under study is high, logical rings may be determined through an iterative process of randomly generating new proposed rings or, in the alternative, randomly expanding existing proposed rings until all demand has been satisfied.

Method and system for planning and installing communication networks

An improved logistics planning method and system for recommending optimal order quantities and timing, choice of vendor locations and storage locations, and transportation modes, for individual items and for product families. The system is designed for use in cooperation with the computer having memory and incorporates item, customer, supplier, and routing information databases. In operation, the item, customer and supplier databases are accessed in order to provide customer and warehouse demand forecasts. The routing and customer databases are similarly accessed to provide transportation cost forecasts necessary to determine optimized routing modes for selected items, customers and suppliers. The demand and transportation costs are processed in accordance with a dynamic programming model to determine stock and non-stock order/shipment solutions for the selected items and customers, including optimized supplier and routing selection, order timing and quantity.

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Boulder, CO, United States of America

Lu Lu