Abstract:
Novel methods of IP or patent management and monetization based on IP/patent pooling and scoring systems are disclosed. In addition, novel partnership methods with IP producing entities (such as universities) are disclosed which produce incentives and efficiencies far and above other methods. Systems and methods are disclosed for valuation of IP instruments and distribution of IP revenue/proceeds. Examples of methods for scoring IP instruments, using a transactional and event driven point/value system, are disclosed for tracking, monitoring, distribution and allocation of proceeds in a complex pooling arrangement of IP instruments.
Abstract:
In one example, we describe reliable, flexible, low-maintenance, low-overhead, low-cost installation, practical, and easy-to-install structures and components or techniques (methods and systems) for water capture from high humidity sources, e.g., sea or river, for use or consumption by humans, animals, or plants/agriculture/food production. In one example, it is modularized. Thus, it is easier for transportation and maintenance, with less cost and down-time. For example, it can be used in some regions in the Middle East or Africa, with dry land with no or small amount of rain. In one example, we describe the use of renewable energy sources. In one example, we describe the control system for operation of water collection and distribution systems, e.g., for optimization and efficiency or cost. We also describe the mechanisms, techniques, components, and systems to implement various tasks and goals related to these.
Abstract:
In one example, we describe reliable, flexible, low-maintenance, low-overhead, low-cost installation, practical, and easy-to-install structures and components or techniques (methods and systems) for water capture from high humidity sources, e.g., sea or river, for use or consumption by humans, animals, or plants/agriculture/food production. In one example, it is modularized. Thus, it is easier for transportation and maintenance, with less cost and down-time. For example, it can be used in some regions in the Middle East or Africa, with dry land with no or small amount of rain. In one example, we describe the use of renewable energy sources. In one example, we describe the control system for operation of water collection and distribution systems, e.g., for optimization and efficiency or cost. We also describe the mechanisms, techniques, components, and systems to implement various tasks and goals related to these.
Abstract:
A system and method for creating a rights expression for association with an item for use in a system for controlling use of the item in accordance with the rights expression, including specifying rights expression information indicating a manner of use of an item, the rights expression information including at least one element, the element having a variable and corresponding value for the variable; and performing an encoding process, including determining an identifier associated with a template corresponding to the rights expression information, extracting from the rights expression information the value for the variable corresponding to the element, and encoding a license adapted to be enforced on a device based on the variable and the identifier, the license including an identification of the template and the value for the variable.
Abstract:
A method is disclosed for the incorporation of relatively high vapor pressure elements into good quality GaAs at extremely low T.sub.s using the migration enhanced epitaxy techinque. Zinc was doped in GaAs material grown at a low T.sub.s of 120.degree. C. Zinc may thus be used as a p-type dopant replacing more toxic Be. Similarly, other high vapor pressure elements can be incorporated much more efficiently into the material grown at low T.sub.s.
Abstract:
In one example, we describe reliable, flexible, low-maintenance, low-overhead, low-cost installation, practical, and easy-to-install structures and components or techniques (methods and systems) for water capture from high humidity sources, e.g., sea or river, for use or consumption by humans, animals, or plants/agriculture/food production. In one example, it is modularized. Thus, it is easier for transportation and maintenance, with less cost and down-time. For example, it can be used in some regions in the Middle East or Africa, with dry land with no or small amount of rain. In one example, we describe the use of renewable energy sources. In one example, we describe the control system for operation of water collection and distribution systems, e.g., for optimization and efficiency or cost. We also describe the mechanisms, techniques, components, and systems to implement various tasks and goals related to these.
Abstract:
Here, we introduce Z-webs, including Z-factors and Z-nodes, for the understanding of relationships between objects, subjects, abstract ideas, concepts, or the like, including face, car, images, people, emotions, mood, text, natural language, voice, music, video, locations, formulas, facts, historical data, landmarks, personalities, ownership, family, friends, love, happiness, social behavior, voting behavior, and the like, to be used for many applications in our life, including on the search engine, analytics, Big Data processing, natural language processing, economy forecasting, face recognition, dealing with reliability and certainty, medical diagnosis, pattern recognition, object recognition, biometrics, security analysis, risk analysis, fraud detection, satellite image analysis, machine generated data analysis, machine learning, training samples, extracting data or patterns (from the video, images, and the like), editing video or images, and the like. Z-factors include reliability factor, confidence factor, expertise factor, bias factor, and the like, which is associated with each Z-node in the Z-web.
Abstract:
Here, we introduce Z-webs, including Z-factors and Z-nodes, for the understanding of relationships between objects, subjects, abstract ideas, concepts, or the like, including face, car, images, people, emotions, mood, text, natural language, voice, music, video, locations, formulas, facts, historical data, landmarks, personalities, ownership, family, friends, love, happiness, social behavior, voting behavior, and the like, to be used for many applications in our life, including on the search engine, analytics, Big Data processing, natural language processing, economy forecasting, face recognition, dealing with reliability and certainty, medical diagnosis, pattern recognition, object recognition, biometrics, security analysis, risk analysis, fraud detection, satellite image analysis, machine generated data analysis, machine learning, training samples, extracting data or patterns (from the video, images, and the like), editing video or images, and the like. Z-factors include reliability factor, confidence factor, expertise factor, bias factor, and the like, which is associated with each Z-node in the Z-web.