607results about How to "Profit maximization" patented technology

An energy management system uses an expert engine and a numerical solver to determine an optimal manner of using and controlling the various energy consumption, producing and storage equipment in a plant/communities in order to for example reduce energy costs within the plant, and is especially applicable to plants that require or that are capable of using and/or producing different types of energy at different times. The energy management system operates the various energy manufacturing and energy usage components of the plant to minimize the cost of energy over time, or at various different times, while still meeting certain constraints or requirements within the operational system, such as producing a certain amount of heat or cooling, a certain power level, a certain level of production, etc. In some cases, the energy management system may cause the operational equipment of the plant to produce unneeded energy that can be stored until a later time and then used, or that can be sold back to a public utility, for example, so as to reduce the overall cost of energy within the plant.

A computer system provides one or more lists of product combinations to one or more shoppers over one or more networks. The computer system comprises one or more central processing units (CPUs), one or more memories, and one or more network interfaces to one or more networks. An electronic shopping assistant process implemented on the computer system receives one or more inputs of constraints from shoppers, sends out the inputs to one or more shopping list generating processes in one or more stores, receives one or more lists of recommended product combinations that satisfy the given constraints, and allows shoppers to view and select one or more product combinations from received lists. A shopping list generating process implemented on the computer system receives one or more inputs from the electronic shopping assistant process by using an electronic shopping list protocol, searches products in an online product catalog stored in a product database, computes one or more lists of product combinations that satisfy the constraints given in the input, and sends lists of product combinations back to the electronic shopping assistant process again by using the electronic shopping list protocol.

A combination of several analytical computer-assisted modeling techniques may be used to evaluate the value of a brand, the relative value of competitive brands and may identify the opportunities to increase brand value and the priority of those opportunities. Image/Attitudinal driver analysis, pyramid analysis, probability analysis, trade-off analysis, and other regression techniques may be used in novel combinations to quantify brand development, impacts and the overall estimate of brand value. For example: (1) image driver analysis may be applied to each level of a brand pyramid to understand how to most effectively move customers through to the next level in the pyramid; (2) probability analysis may be used to estimate the impact of each movement through the pyramid; and (3) tradeoff analysis may be used to improve the value customers perceive at any particular level of the pyramid.

A vending system restricts, limits and/or controls access and/or to various products, and tracks purchases, use or consumption of those products by an individual, group, class or classification, and implements continued decisions regarding future access within the context of a hierarchy of policy enforcement or guideline recommendations. The individual or group is associated with a unique identification, captured by an input device, such that product selection availability is based upon identity, product type, quantity limits, serving recommendations and nutritional guidelines, user preferences, governance and access restrictions. Subsequent tracking of the dispensing of products, permits the system to compare consumption and make future decisions regarding access to products.

The invention provides a step-by-step management method for online advertisement delivery, with the purpose of controlling the delivery speed of online advertisements in a real-time bidding system, so that the advertising display can obtain the maximum benefit under the condition of limited budget. The method includes: (1) According to historical logs, offline estimation of parameters such as user flow, bidding success rate, average bid winning price, and key performance indicators of each advertisement in each time period in the new advertisement delivery cycle; (2) Offline estimation The delivery probability of each advertisement in each time period in the new delivery cycle; (3) In the actual delivery process, according to the actual budget expenditure of each advertisement in the completed time period, online adjustment of the current time period for each advertisement Delivery probability; (4) According to the advertisement delivery probability in the current time period, for each advertisement display opportunity, the demand-side platform will judge whether to participate in the bidding.

A method of managing resources, includes identifying a project or service opportunity that has disparate resource attribute requirements. At least one of internal and external flexible resources suitable for the project or service opportunities are also identified. The internal and external flexible resources are correlated with the disparate resource attribute requirements for managing a risk associated with the project or service opportunity.

The invention discloses an intelligent resource allocation method in the Internet of Vehicles, which applies an artificial intelligence algorithm to solve the problem of resource allocation in a vehicle network so as to maximize the revenue of a network operator. Specifically, the method comprises: establishing a base station-roadside node combined vehicle edge calculation and cache resource scheduling framework to distribute requested resources for vehicles; establishing a network operator revenue function in combination with the operator revenue and the user experience quality to evaluate the resource distribution problem, and establishing a joint optimization problem to maximize the network operator revenue; solving the joint optimization problem through deep reinforcement learning, obtaining an intelligent task scheduling and resource distribution scheme, arranging the obtained scheme in an intelligent control system, and performing intelligent scheduling and arrangement on vehiclerequests and server resources. According to the intelligent resource distribution method in the Internet of Vehicles, the revenue of a network operator can be maximized while the user experience is considered, and a new idea and angle are provided for practical application of artificial intelligence.

An improved system and method for matching objects belonging to hierarchies is provided and an optimal matching between two feature spaces organized as taxonomies may be learned. The matching may be performed through a multi-level exploration of the hierarchical feature spaces by using multi-armed bandits where the arms of the bandit may be dependent due to the structure induced by the taxonomies. Upon the arrival of an object assigned to the first taxonomy, multi-armed bandits may be run at multiple levels of the taxonomies to select an object assigned to the second taxonomy. Then shrinkage estimation may be performed in a Bayesian framework to exploit dependencies among the arms by estimating payoff probabilities from a beta-binomial model to update payoff probabilities for matching objects from the taxonomies.

An economic supply optimization system is provided whereby an optimal machine dismantling configuration of a machine supply is determined to meet a parts demand at a lowest cost. The parts supply is calculated and it is determined what portions of the demand cannot be met from the machine supply and what portions of the demand it is not economically justifiable to meet from the machine supply. A parts supply is then determined from the machine supply. The remaining parts demand is matched to the parts supply to create a list of parts covered by the parts supply and a list of parts not covered by the parts supply, if there are any. The optimal dismantling configuration of the machine supply is calculated for the covered parts list and an optimal harvesting configuration is calculated for the not-covered parts list.

The invention relates to a comprehensive utilization method of straw raw materials. The method is characterized by comprising the following steps: a, carrying out solid-liquid separation on steam-exploded straws, using an alkaline cooking method to process solid bodies of the steam-exploded straws, and extracting good xylogens from an alkaline extract liquor by an acid-out method; b, carrying out enzymolysis on the extracted residues in the step a to obtain zymolytic residues and a zymolytic liquid, wherein the zymolytic residues are used for preparing pulps; and c, after the steam-exploded straws in the step a are detoxificated, mixing a zymolytic liquid with the zymolytic liquid in the step b and adding nitrogen sources to butylicum fermentation. The method has the advantages that sources of raw materials are wide; the separation of celluloses (continuous fibers and staple fibers), hemicelluloses, xylogens and the like in the straws is realized, thus sufficiently realizing the value of each component; and the celluloses are divided into the continuous fibers which are difficult to realize enzymolysis and the staple fibers which are easy to realize enzymolysis, thus reducing the usage amount and cost of the cellulase, improving the comprehensive utilization value of the straws and solving the source problem of raw materials in industrialization production of the butylicum fermentation.

The invention relates to a method for building an intelligent cleaning decision-making system for a photovoltaic power station, which sequentially comprises the steps of building a dust blocking loss calculation subsystem, building a meteorological forecast subsystem, building a generating capacity forecast subsystem and building an intelligent cleaning decision-making subsystem. On the one hand, a more accurate and more representative photovoltaic assembly dust blocking loss ratio is provided through monitoring the dust blocking loss ratio of a dynamic photovoltaic assembly array on the spot based on actual operation and maintenance demands of the photovoltaic power station so as to act as a data basis of decision making, so that the blindness in only relying on intuitive judgment of the operation and maintenance personnel of the photovoltaic power station can be avoided, and a cleaning decision is enabled to possess a quantitative calculation basis; and on the other hand, an automatic algorithm calculation mode is adopted, formulation of a cleaning decision is enabled to have timeliness, and a dynamic cleaning period with maximized profit is provided for the photovoltaic power station.

A wall-mountable computer having an integrated keyboard. The computer has one or more securing members which enable a user to attach the computer to an upstanding structure, such as a wall. The keyboard is integrated into the lower portion of the computer housing. In one embodiment, the keyboard is adjustable between an open position and a closed position. This type of computer increases the convenience of using computers in houses, facilities, vehicles and other areas.

The invention belongs to the technical field of photovoltaic power generation, and relates to a photovoltaic power generation device, in particular to a water surface floating type intensive photovoltaic power generation device which comprises a plurality of photovoltaic power generation units. Each photovoltaic power generation unit comprises a support and a water surface floating device, each support is fixed on the corresponding water surface floating device through a hoop, each support is of a triangular frame structure, and one slope of each support is a photovoltaic component mounting face which is fixedly provided with a plurality of photovoltaic components. A connecting buckle is arranged on a supporting beam at the bottom of each support, and the photovoltaic power generation units are integrally connected through the connecting buckles. Each photovoltaic component mounting face forms an included angle alpha with the horizontal plane. The photovoltaic power generation device is low in cost, utilizes water areas with different characteristics to the largest extent, and can effectively balance photovoltaic power generation benefits and fishery benefits or other benefits to achieve maximization of the comprehensive income; modularized manufacturing is adopted, and mounting is convenient and quick; the device can be easily achieved, and is suitable for being popularized and applied in large scale.