15 results about "Market area" patented technology

A system and method for optimizing a media campaign comprises using a solver on various input data to generate a media campaign solution that meets one or more optimization goals. An optimization program comprising the solver generates a media campaign solution based on store location data, trade areas, audience definitions, audience weights, medial channel data and one or more constraints. Each media campaign solution can include spend data for each of a plurality of the media channels.

A system and method for providing reliable, legally compliant access to geographically restricted ATSC television signals via user-owned devices hosted in a datacenter. The invention verifies the physical address of each applicant to ensure eligibility within the designated market area before installation. It eliminates the need for rooftop or indoor antennas, resolving common ATSC reception challenges, including interference, terrain obstruction, and lightning risks. Designed for ease of use by non-technical users, the system provides consistent high-quality reception through a managed datacenter infrastructure. The invention complies with legal boundaries set by the U.S. Supreme Court's ruling in ABC v. Aereo by ensuring individualized device ownership and avoiding centralized retransmission. An optional encrypted group addressing mode further reduces energy and hardware redundancy while enforcing regional access through a conditional access system with access limited to persons with validated addresses and members of the datacenter.

A method of communicating an alert includes: encoding data received from a plurality of sources by a central content controller (CCC) and determining existence of one or more alerts. If no alerts exist, the encoded data is assigned as streams to subchannels. For existing alerts, a market area (MA) is determined and the alert is assigned as a stream to a data subchannel and the encoded data is assigned as streams to remaining subchannels. For each MA without an applicable alert, the encoded data is assigned as streams to the subchannels. The assigned data is transmitted to regional controllers (RCs) for broadcasting to the associated MAs.

The invention discloses an agricultural product price prediction system based on big data, and relates to the technical field of agriculture, the system constructs a price space vector field, effectively identifies an allocation mechanism between regions, calculates a driving factor, and calculates a global active index according to the allocation mechanism and the driving factor, and the module can evaluate the arbitrage opportunity between the regions in real time, so that the prediction efficiency is improved. The method comprises the steps that a global activity index is obtained, whether abnormal fluctuation exists in the market or not is judged through fluctuation of the global activity index, so that potential risks can be recognized in advance, a risk suspension instruction is triggered according to the fluctuation of the global activity index, and economic losses caused by excessive fluctuation of the market are effectively avoided; and the future transaction price of each market area can be predicted, dynamic correction can be carried out under the influence of actual market fluctuation and dispatching behaviors, and the interruption judgment module identifies the dispatching mechanism among the market areas again, so that prediction errors caused by information lag are reduced.

The invention discloses an intelligent planning generation method and system for a medicine marketing activity, and the method comprises the steps: collecting medicine market dynamic data, patient portrait data, doctor behavior data, medicine circulation data, policy and regulation data and medical institution operation data through a data collection and preprocessing step, and constructing a structured data set after processing; a demand analysis and target setting step: based on the structured data set, using a pre-trained BERT model to analyze a medical enterprise marketing demand document, extracting key demand points such as a target market area, key promotion of drugs, budget limitation and time nodes, and setting a target demand point; marketing objectives such as market share improvement, medicine popularization range, compliance requirements and patient service satisfaction are set in combination with enterprise strategic planning; and a strategy generation and optimization step of generating an initial marketing strategy by using a deep Q network reinforcement learning algorithm.

The present application relates to the field of information technology, and discloses a method for evaluating and predicting the adaptability of soft capsules to the environment, which comprises the following steps: generating an environmental risk sequence according to the environmental data and the logistics and storage scene data, and obtaining product tolerance analysis results through simulation analysis; predicting the potential damage probability by using the product tolerance analysis results, and determining the storage adaptability of the target product in the proposed sales area; performing an accelerated aging experiment on a product sample according to the composite environmental stress spectrum, collecting aging-related data, and determining stability indicators; constructing a time series data set, analyzing the coupling relationship and lag effect between different indicators in the time series data set; identifying a key acceleration path according to the analysis results, and correcting a shelf life prediction model; and inputting the environmental stress spectrum of different market areas into the corrected shelf life prediction model to calculate the differentiated shelf life prediction value.

The present invention provides a method, device, computer-readable storage medium, and electronic device for controlling an electronic fence in a market area. The method specifically includes the following steps: obtaining first position information of a vehicle after it passes a preset location for a set period of time; if the first position information does not match the specified position information, determining the usable area within the electronic fence in the market area; if the usable area is less than a set value, determining environmental data outside the electronic fence in the market area; and controlling the edge position of the electronic fence in the market area based on the environmental data and the occupied area of the vehicle. The technical solution provided by the present invention can adjust the edge position of the electronic fence in the market area in a timely manner based on the vehicle's position and the environmental data outside the electronic fence in the market area, thus providing flexibility.

A crowd-sourcing real property review system digitally submits and compiles reviews of for-sale and for-rent real estate properties in selected market areas. This system is implemented by means of a downloadable crowd-sourcing user app and a publicly-accessible online web platform. The user app is configured to enable the system users to prepare and upload digital user reviews to the web platform, or alternatively to compose and submit digital user reviews directly on the web platform. The user reviews comprise first-hand observations and user ratings regarding the for-sale and for-rent real estate properties, and optionally can include photographs and / or videos of the properties. The web platform displays interactive maps of the selected market areas.

The invention discloses a network toughness evaluation method and system for supply connection between an urban farmer market and a community. The method comprises the following steps: acquiring grid mobile phone signaling data, market AOI boundary data and community AOI boundary data in a determined range; enabling grid units in the mobile phone signaling data to be intersected with a market AOI boundary graph and a community AOI boundary graph, and calculating a market connection weight and a community connection weight; the market and the community form a supply pair, an OD contact data column between the market section and the community section is generated, the point degree of the market section and the contact degree between the market section and the community section are calculated, and a supply network between the farmer's market and the community is identified; counting day-by-day flow change in a set date of the market, selecting an impacted market case, and actually measuring a toughness curve of the selected market. According to the method, the current network toughness situation of supply connection between the urban farmer's market and the community can be identified, so that targeted improvement measures are put forward, and the ability of the farmer's market and the community to deal with emergencies is enhanced.

A crowd-sourcing real property review system digitally submits and compiles reviews of for-sale and for-rent real estate properties in selected market areas. This system is implemented by means of a downloadable crowd-sourcing user app and a publicly-accessible online web platform. The user app is configured to enable the system users to prepare and upload digital user reviews to the web platform, or alternatively to compose and submit digital user reviews directly on the web platform. The user reviews comprise first-hand observations and user ratings regarding the for-sale and for-rent real estate properties, and optionally can include photographs and / or videos of the properties. The web platform displays interactive maps of the selected market areas.

The invention relates to the technical field of e-commerce management, in particular to a cross-border e-commerce supply chain data analysis method and system based on artificial intelligence, and the method comprises the steps: based on commodity transaction data of a cross-border e-commerce transaction platform in a specific sales cycle, responding to a condition that a first transaction growth rate of a commodity in the commodity transaction data exceeds a preset growth amplitude threshold value; determining first potential purchase popularity distribution of the commodity in the target market region based on the first market region distribution data; based on the first potential purchase popularity distribution, obtaining historical supply chain operation data of the commodities in the corresponding target market region, and performing association rule analysis on the historical supply chain operation data to obtain an association operation feature mode of the commodities in each link of the supply chain. According to the invention, by dynamically adjusting the inventory management and control strategy, the inventory distribution can be optimized in real time according to the market demand change and the commodity transaction data, so that the phenomena of inventory overstock and stockout are reduced, and the overall inventory turnover rate is improved.

The invention provides a control method and device for an electronic fence in a market area, a computer readable storage medium and electronic equipment. The method specifically comprises the following steps: acquiring first position information of a vehicle after the vehicle passes through a preset position for a set duration; if the first position information does not conform to the specified position information, determining the usable area in the electronic fence of the market area; if the usable area is smaller than a set value, determining environmental data outside the electronic fence in the market area; and based on the environmental data and the occupied area of the vehicle, controlling the edge position of the electronic fence in the market area. According to the technical scheme provided by the invention, the edge position of the electronic fence in the market area can be adjusted in time according to the position of the vehicle and the environmental data outside the electronic fence in the market area, and the method has flexibility.

The application discloses a method for identifying regional market structure by fusing feature price model and complex network, comprising the following steps: collecting house price data of cities in counties nationwide; combining feature price model and complex network to establish a city regional connection model; reconstructing the network based on prefecture-level city scale statistical convergence index; and calculating the network by adopting louvain algorithm to obtain the regional structure of prefecture-level cities nationwide. The application proposes a method for measuring the market convergence connection degree between cities by fitting goodness based on feature price model and complex network, and further digs out the regional structure; takes the connection network between real estate markets in counties and cities as the basis, and further reconstructs the network at the prefecture-level city scale, so as to balance the analysis accuracy and operability, capture the market similarity from micro to macro, and realize the comprehensive identification of the regional structure of the real estate market nationwide.

A method of communicating an emergency alert includes receiving, by a central content controller (CCC), audiovisual (AV) content from a plurality of sources, encoding the content, transmitting the encoded content to regional controllers (RCs) associated with respective market areas (MAs) for broadcasting over the air (OTA), determining existence of one or more alerts, for each existing alert, identifying recipients designated for receiving the alert and transmitting the alert to devices associated with the identified recipients over a network.