608results about How to "Profit maximization" patented technology

A facility management computer system which, in one embodiment, controls a website that provides users with access to user-generated data and sensor-generated data. The computer system is used in conjunction with a facility having at least one sensor for sensing variable conditions of the facility. The computer system integrates the sensor-generated data with non-sensor data, such as data related to facility description, facility users, facility income and facility expenses. Such a computer system assists facility managers in increasing the efficiency of operating facilities and minimizing loss and damage to facilities.

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.

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 customer originated and directed dispatching system to provide direct coordination of requested service to service providers without the need for intermediary dispatching assistance. A database stores records each documenting needed services and customer and service provider profiles. Processing circuitry (which may be one or several networked computers) performs a dispatching process which reviews these records, locates records indicating a need for immediate service, locates the customer, identifies potential service responders, carries out an auction for the requested service and collects a list of potential service provides with their bids and profiles. The processing circuitry also performs a monitoring process which monitors service provider's activities by reviewing the records, and automatically obtained service provider's activity information, and records customer and service provider performance ratings to the database. Communications circuitry enables direct communication between the service provider and the customer as well as updates of the service provider's activity and review customer and service provider performance records.

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 charging station expander (expander) for receiving electrical power from an existing charging station and distributing the electrical power received to at least one PEV is described. The expander increases usability of the existing charging station by permitting the existing charging station to be effectively coupled to two or more PEVs for charging according to methods described herein. The expander may comprise a female port, a switch relay, power distribution cables, a controller, and a housing. The housing may house the switch relay, the controller, portions of the female port, and portions of the power distribution cables. The female port removably couples with a male connector of the existing charging station. The power distribution cables removably couple with the two or more PEVs. The controller controls both an order of how the two or more PEVs may be charged and how a given PEV presently receiving charging may be charged.

A novel method is presented to automatically design a multi-well development plan given a set of previously interpreted subsurface targets. This method identifies the optimal plan by minimizing the total cost as a function of existing and required new platforms, the number of wells, and the drilling cost of each of the wells. The cost of each well is a function of the well path and the overall complexity of the well.

The present invention provides compositions and methods designed to increase value output of a fermentation reaction. In particular, the present invention provides a business method of increasing value output of a fermentation plant. The present invention also provides a modified fermentation residual of higher commercial value. Also provided in the present invention are complete animal feeds, nutritional supplements comprising the subject ferment residuals. Further provided by the present invention is a method of performing fermentation, a modified fermentative microorganism and a genetic vehicle for modifying such microorganism.

A computerized system and related methods of identifying an optimum set of product configurations from a plurality of possible product configurations, wherein each product configuration has a plurality of features and each feature has a plurality of options, includes the steps of representing each of the possible product configurations as an ordered set or array of at least n-dimensions, each dimension of the array representing a predetermined one of the features, identifying a subset of valid product configurations, identifying which valid configurations are captured by other configurations through upgrades, conversions, or acceptance of different options, defining and solving an optimization model to identify the optimum set of valid product configurations based on a desired objective, such as to maximize profit, minimize cost, or maximizing coverage of customer demand, and then presenting the optimum set of valid product configurations that satisfy the desired objective.

The invention discloses a Map / Reduce type mass data processing platform-orientated job scheduling method belonging to the field of mass data processing, and particularly relates to job scheduling and resource management in a Map / Reduce type mass data processing platform. The invention provides a Map / reduce job scheduling method based on Reduce task resource preemption, which realizes that when a Reduce task is in an idle waiting state, computing resources occupied by the Reduce task are distributed to a Map task for being used. The Map / Reduce type mass data processing platform-orientated job scheduling method mainly comprises: preemptible resources, a job scheduling module, an application management module, a task executing module, a node management module, a task suspending and recovering method, and a preemptible-resource-orientated job scheduling method. The Map / Reduce type mass data processing platform-orientated job scheduling method can be applied to job scheduling and resource management of a data center, and realizes reasonable distribution of computing resources of the data center by preemption scheduling of a Reduce task in a Map / Reduce job, thereby improving the computing resource utilization rate and shortening the job running time.

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.

A novel method is presented to automatically design a multi-well development plan given a set of previously interpreted subsurface targets. This method identifies the optimal plan by minimizing the total cost as a function of existing and required new platforms, the number of wells, and the drilling cost of each of the wells. The cost of each well is a function of the well path and the overall complexity of the well.

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 system and method are provided which accept orders from customers located at distributed locations, manages the ordering process by presenting a consolidated invoice to the seller, allows the seller to indicate which items are being paid along with a reason code for items for which payment is being withheld, accepts a consolidated payment, and allocates that payment to the appropriate selling subsidiary. In general, one or more orders are received from a buyer in which each of the orders corresponds to at least one seller subsidiary. The orders are consolidated into a consolidated invoice. The consolidated invoices are then made available to the buyer. An indication is received from the buyer as to which of the orders a payment is being approved. The payment, once received, is allocated to a corresponding at least one seller subsidiary for which the payment has been made.

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.

The invention provides a system and method for optimizing the cost of buying and price for selling electrical energy by forecasting the price from a plurality of sources of electrical energy for a plurality of time intervals within a set time period, determining an optimum time within the set time period for purchasing or selling electrical energy, and implementing the purchase or sale of electrical energy at the optimum time.

The invention aims at providing a commodity and service online ordering and management Internet platform, and the platform comprises a merchant terminal which is used by a merchant for publishing store information, commodity specific information and special offer information, displaying and processing an order; a customer terminal which is used by a customer for meeting a commodity ordering request, and generating an order; and a platform terminal which is used by the merchant for storing, displaying and storing of store information, commodity information and special offer information, displaying the order, storing and tracking the order processing operation of the merchant, supervising and guaranteeing the execution process of the order. The advantages of the platform are that the customer can directly order the commodity and service, published by the merchant of a real store, on the platform, such as a room number and a license plate number, and can order the needed commodity and service at any time; The merchant can directly display and process the order of the customer through the platform. The platform achieves the direct communication between the customer and the merchant, reduces the agent link, reduces the operation cost for the merchant, and brings more benefits to the customer.

An operation control system for a wind farm having wind turbines includes: a remaining-lifetime estimation unit for estimating remaining lifetime of a component of each wind turbine; a sales-income estimation unit for estimating, for each wind turbine, an income from sales of electric power under a plurality of output control conditions; a maintenance-cost estimation unit for estimating, for each wind turbine, maintenance cost based on the remaining lifetime of the component under each of the plurality of power limit conditions; a power-limit-condition selection unit for selecting, for each wind turbine, a power limit condition that maximizes income obtained from the wind farm, based on the income from sales of electric power and the maintenance cost estimated for each wind turbine under each of the power limit conditions; and an operation command unit for sending an operation command to each wind turbine based on the selected power limit condition.

The invention discloses a novel technique for extracting L-tryptophan from fermentation broth, which includes the following steps that: fermentation broth is pretreated, and the treated liquid is pumped into a ceramic microfiltration membrane filter, so that tryptophan microfiltrate without mycelium and mycoprotein are obtained; the tryptophan microfiltrate is pumped into an ultrafiltration membrane filter, so that tryptophan ultrafiltrate and concentrated liquid containing pigment and protein are obtained; the tryptophan ultrafiltrate is pumped into a nanofiltration membrane filter, so that concentrated tryptophan liquid and permeate containing salt are obtained; waste filtrate is comprehensively utilized to produce protein feed; industrial ethylic acid is used for promoting low-temperature crystallization, crystallization mother liquid is treated by the ion exchange method and used, and after crystals are centrifugally dehydrated and dried, the L-tryptophan product is obtained. The invention solves the problem on how to recover industrial ethylic acid, and greatly increases the extraction rate of L-tryptophan; and since the filtrate and the mycoprotein are comprehensively utilized, the product profit is maximized. The total extraction rate of L-tryptophan is 85.2 percent, and the refined product meets the standards of Chinese Pharmacopoeia edition 2005.

The invention relates to the technical field of wireless short-distance communication in an Internet of Vehicles system, in particular to an Internet of Vehicles resource allocation method based on multiple MEC servers. The allocation method comprises the following steps: determining a system benefit function executed by vehicle user task in consideration of time delay and energy consumption according to an optimization target of Internet of Vehicles resource allocation; simplifying each optimization function through a decoupling mode, solving an optimal unloading strategy of a vehicle user through a multi-round combined unloading scheduling mechanism and a joint resource allocation strategy, and performing Internet of Vehicles resource allocation by adopting transmission power and computing resources under a multi-MEC server scene when the optimal unloading strategy is executed. According to the method, the Internet of Vehicles resource allocation under the MEC multi-server scene is determined from two aspects of task unloading and resource allocation; and the task unloading problem is solved through a multi-round combined unloading scheduling mechanism and a joint resource allocation strategy, so that the time complexity is reduced, the average system revenue maximization is realized, and the overall performance of the system is improved.

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 network slice virtual resource distribution method based on an internal auction mechanism and belongs to the technical field of mobile communication. The method comprises steps of determining demand quantity, recycling quantity and auction quoted price of network slices according to user state information, and using an internal auction to distribute virtual resources, wherein the user state information comprises newly arrived user information and recovery business user information, and the demand quantity and the recycling quantity can meet QoS requirements of the network slices, thereby improving resource utilization rate of the network slices. The internal auction method comprises steps of combining priorities of the slices to determine the quoted prices, combining the quoted prices of all the slices to carry out auctions and deciding distribution resources of the slices winning the bidding, wherein the priorities are comprehensive evaluation on current user states and business requirements. According to the invention, QoS requirements of network slices with quite different requirements can be met and resource utilization rate can be improved.

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.

Mathematical means and methods are used within the context of mathematical models of a workforce evolution to address key issues in workforce design and planning. Examples of such mathematical means and methods are (but not limited to) fluid-flow models and diffusion-process models. In each case, these mathematical models characterize the workforce evolution over time as a function of dynamic workforce events, such as new hires, terminations, resignations, retirements, promotions and transfers, and dynamic workforce topology, policy, or scenario, such as the viable paths from one workforce resource state to another workforce resource state.