148 results about "Financial costs" patented technology

A system and method for providing a geo-enhanced savings opportunity in association with a financial account includes gathering transaction data from a user's financial account and analyzing the transaction data for a savings opportunity indication. A savings opportunity from a database of savings opportunities is matched to the user based on the savings opportunity indication. The savings opportunity is displayed in association with a statement of a user's financial account. A response to the savings opportunity is tracked in order to receive an indication of whether or not the savings opportunity has been accepted. If it was not accepted, an additional incentive to accept the savings opportunity may be made when the user is in a geographic location set by a merchant offering the savings opportunity.

Embodiments of the invention include systems, methods, and computer-program products for provide a user with a central location that links one or more of the user's financial accounts into a single location for viewing and transacting with any of the one or more financial accounts. As such, the invention provides a facilitated access to one or more user financial accounts from any or all financial institutions consolidated into one source. Embodiments of the present invention provide a system for financial account linkage. Specifically, embodiments of the invention allow for monitoring, viewing, transacting, and transferring funds associated with any of the financial accounts of a user. The financial account monitoring program may be provided to a user via his/her mobile device in an interactive account monitoring/transaction fashion.

The present invention provides an intelligent low-voltage distribution electricity monitoring system based on a wiring diagram. The system comprises: a terminal information collector configured to collect the real-time data of a device and/or line and send the real-time data through a wireless device; a monitoring center configured to receive, store and develop the real-time data of a remote control command and configured to analyze and arrange the real-time data; and a monitoring terminal configured to provide an editing interface and an editing tool to perform the wiring diagram scheme design and store and load the graphic files, perform electric data superposition through combination of the real-time data wiring diagram and further provide an operation interface for the electric data superposition wiring diagram. The intelligent low-voltage distribution electricity monitoring system based on the wiring diagram can visually, comprehensively and stereoscopically grasp the running state of a device, accelerate the reaction of the low-voltage grid accidents, enhance the discrimination accuracy of the low-voltage grid accidents, reduce the manpower risk and reduce the financial cost.

The invention relates to an intelligent lab managing system which comprises a control center, and a contract managing module, a task managing module, an experiment managing module, a standard managing module, a financial cost managing module, an equipment sample managing module, a quality review managing module, a training managing module, a client managing module, a system authority managing module and a mechanism managing module which are respectively connected with the control center. The task managing module is connected with the experiment managing module. The control center receives control information input from the outside and controls each managing module connected with the control center according to the control information. Compared with the prior art, the intelligent lab managing system is capable of increasing work efficiency, lowering manpower cost, increasing statistic data accuracy, and the like.

Methods and systems are for analyzing and measuring cyber risk using analytical approaches to determine and measure the consequences and/or vulnerabilities to a system (e.g., a computer network, an enterprise network, etc.) due to cyber incidents. By evaluating and quantifying risks associated with several types of cyber incidents and/or security breaches based on a network architecture and/or system design, the cyber risk analysis tool may enable the enterprise leadership to make prudent, informed decisions on how to address individual cyber risks (e.g., determine risk policy) and/or modify existing network deployments or policies. For many institutions, enterprise objective is defined in financial terms, such as budget impact, corporate earnings, impact to balance sheet and/or reputation impact. Thus, the output of the cyber risk analysis tool may be converted to or otherwise expressed as a financial cost in order to provide useful information to decision makers.

The invention discloses an automatic assessment system and method for cross-border input and transmission risk of infectious diseases, which belong to the technical field of disease transmission and control. The system comprises an initial indicator formulation module, an initial indicator assessment module and an assessment platform construction module. According to the invention, two levels of expert consultation are used; the analytic hierarchy process and the Delphi method are used to quantify the weight value of the cross-border input and transmission risk of infectious diseases, and therisk value of a risk point can be quantified; through the construction of the automatic risk assessment system, the cross-border input and transmission risk of five key infectious diseases can be assessed in real time in border areas; and the problems that the human, material and financial costs of high-quality risk assessment of grassroots disease control institutions in border areas are high, and the assessment report lags behind the development trend of the epidemic situation of infectious diseases are solved.

The disclosure allows each account holder to provide to the account issuer information about his or her account usage habits and intended future uses. The information provided may be stored by the account issuer on, for example, a central database which could be referenced each time the account is used or each time it is used for an amount exceeding a pre-set amount. If the proposed attempted use falls into the categories of restricted usages stored on the central database, then the transaction may be denied, or flagged and other types of confirmation required from the person attempting the transaction.

The invention discloses a disk storage capacity prediction method based on a time sequence model, which comprises the following steps of (1) establishing a database for storing disk capacity use conditions, monitoring the operation of a storage system, and providing data required for prediction; (2) reading a database, obtaining historical data, carrying out data processing, constructing a prediction model based on a time sequence model, and carrying out prediction; and (3) comparing the capacity prediction result with the residual capacity, evaluating and judging whether the capacity prediction result accords with a preset threshold value, judging whether to send out early warning, and reminding operation and maintenance personnel to maintain the disk system. According to the intelligentprediction technology for the disk capacity, different time sequence models are selected according to historical data characteristics, the limitation of a prediction result of a single method is avoided, the storage prediction requirements of different disk systems are met, and the very strong adaptability and universality are achieved. According to the method, the disk capacity can be predicted more accurately in an actual test, and the labor and the financial cost of system operation and maintenance are reduced.

The invention discloses a contact net insulator pollution flashover prediction method, which includes:using artificial fish school algorithm to optimize BP neural network, setting up contact net insulator pollution flashover grade prediction model, predicting insulator pollution grade in the present month. As one-dimensional input vector of the pollution flashover probability prediction model, the predicted value of the contact net insulator pollution grade is used to predict the pollution flashover probability of the contact net insulator pollution flashover and the probability of the contact net circuit in the present time. Through the contact net circuit pollution flashover probability prediction model, the pollution flashover probability which is obtained is used to set up a short-period forecast response mechanism of the contact net circuit pollution flashover. The contact net insulator pollution flashover prediction method has the advantage of saving manpower and material resources, having low financial cost, easily operating, being convenient and quick, which realizes provides certain booster actions for realizing electric equipment from scheduled overhauling to status overhauling.

The invention relates to an inter-bank capital account collection management method which is characterized in that the method comprises the following steps: leading a bank to carry out networking butt joint on an external computer of the bank and computers of a group company through the Internet or the dedicated line way, and opening a data exchange standard interface of a special account for networking clients, when the same level allows a plurality of office accountants, each transaction must be re-checked by all the levels of the office accountants and then is submitted to the bank for carrying out account treatment, when the transaction amount exceeds the maximum process limit, the transaction needs to be submitted to a chief accountant for approval, and the chief accountant is the final approval level. The method has the advantages of reducing the operating cost and the financial cost, improving the using efficiency of capital, centralizing the account capital management of all subsidiaries, reducing the capital risk, ensuring the reasonable distribution of the capital and improving the working efficiency.

The invention provides an obstacle detection method and device, equipment and a computer storage medium. The obstacle detection method comprises the steps: data collected by a plurality of sensors atthe same moment are obtained, wherein the multiple sensors are mounted on a vehicle; the data collected at the same moment are combined, and a data set corresponding to the moment is obtained; and obstacle detection is conducted according to the data set, and obstacle information is obtained. The financial cost can be reduced, the information amount of the data can be enriched, the obstacle detection step can be simplified, the problem that the data in different formats are fused unsuccessfully is avoided, and thus safety of vehicle traveling is improved.

The invention provides a self-service clothes washing receiving and dispatching system. The self-service clothes washing receiving and dispatching system is used for solving problems of high cost and labor waste of an existing mode for cleaning clothes for clients in a leased store, and comprises a plurality of self-service wardrobes, a plurality of radiofrequency cards, a management control computer and a self-service card issuing machine; the self-service wardrobes are used for automatically receiving to-be-washed clothes sent by clients and accommodating washed clothes and are respectively arranged at certain positions, and the clients can get back the washed clothes in the self-service wardrobes and can access the certain positions conveniently; each self-service wardrobe comprises a plurality of clothes storage cells and a card reader, the clothes storage cells are provided with electronic locks, each clothes storage cell has a unique number, and each card reader is connected with the electronic locks of the corresponding clothes storage cells; each radiofrequency card has a unique identity label and is wirelessly communicated and connected with the corresponding card reader; the management control computer is connected with the card readers and the electronic locks of the clothes storage cells; the self-service card issuing machine is used for attaching the corresponding unique identity label to each radiofrequency card and storing identity account information corresponding to each unique identity label in the management control computer. The self-service clothes washing receiving and dispatching system has the advantages that the self-service clothes washing receiving and dispatching system is automatic, intelligent and efficient, and the labor cost and the financial cost can be saved.

The present invention is directed to a method, implemented on an electronic communication network including a mobile telecommunications device, for providing financial incentives by associating the mobile telecommunications device with an incentive account; and messaging with the mobile telecommunications device in response to a predetermined trigger, with the messaging including information corresponding to a financial incentive provided through a financial account associated with the incentive account upon an occurrence of a desired commercial transaction satisfying predetermined criteria, and correlating information related to the financial account, incentive account, and occurrence of the desired commercial transaction, for further determination and action in awarding or withholding the financial incentive in accordance with the predetermined financial incentive criteria. Also disclosed is a system that operates in accordance with the method.

The invention discloses a method for improving performance of a face recognition model under a glasses wearing condition. The method comprises the following steps: extending existing glasses non-wearing face training data as glasses wearing face training data by virtue of an automatic face image glasses wearing algorithm; training by utilizing the extended glasses wearing face training data, thereby obtaining the face recognition model. By increasing glasses for a face image without wearing glasses, the existing glasses non-wearing training data can be rapidly and conveniently extended into the glasses wearing training data, and the scale and diversity of the training data can be improved. Compared with a method for newly building glasses wearing face training data, the method disclosed bythe invention is low in cost, convenient, rapid and obvious in effect, and lots of manual labor and financial cost expense can be saved. Meanwhile, the face recognition model is trained by virtue ofextended training samples, so that the face recognition model has excellent interference resistance and recognition effect on the glasses wearing face, and the overall recognition accuracy is greatlyimproved.

The invention discloses a wind turbine generator set mechanical equipment state diagnosis method based on multivariate statistical analysis. The method is characterized by utilizing a sensor to collect state information generated by wind power equipment; performing feature extraction, signal analysis and state identification on the state information based on the multivariate statistical analysis; with low-dimension principal component feature expression technology expressing and classifying wind turbine generator set mechanical state, establishing an average correlation law to assess the ability, for describing the wind turbine generator set mechanical state, of each principal component; and selecting low-dimension principal component feature to express the comprehensiveness for the wind power equipment state features and the diagnosis of the wind power equipment state is realized. According to the wind turbine generator set mechanical equipment state diagnosis method based on the multivariate statistical analysis, early failure of the wind power equipment can be found and failure conditions can be accurately judged, utilization rate of the wind turbine generator set is improved, and cycle period and financial costs of maintenance and service are reduced as possible as one could; and the method can ensure safe, stable and reliable operation of the wind turbine generator set, and has great acceleration effect.

The invention discloses a post bending and edge covering forming process of a metal composite plate. The post bending and edge covering forming process of the metal composite plate specifically comprises the following forming process steps that firstly, a metal composite plate core layer is milled and removed by a milling cutter, and a groove seam is formed; secondly, the bending treatment processof burr edges of metal surface plates is performed, wherein due to the fact that the distance between the upper-layer metal surface plate and the lower-layer metal surface plate is relatively small,the metal surface layers are pre-bent by different angles for multiple times through a roller, and finally are bent to form 90 degrees; thirdly, the bending and edge covering treatment process of themetal surface plates is performed, wherein the metal surface plates with the burr edges bent in advance are pre-bent by different angle for multiple times through a mold along the surface of the metalcomposite plate core layer milled and removed in advance to form 90 degrees finally, the metal surface layers are used as covered edges, so that the perfect effect that the surface layers and a sidesurface are integrated is achieved, and falling off and cracking never occur; and according to the post bending and edge covering forming process, the whole piece of large plate is cut and then undergoes the bending forming technology, so that the forming speed is high, the size is random, a traditional mode of performing edge covering by adopting an edge cover strip is omitted, and labor and financial cost is greatly saved.

The invention discloses a traceability system based on a block chain, and relates to the technical field of blockchain and information traceability. The system comprises an alliance chain management module, a block chain browser module, a traceability code generation module, an information storage module, an information reading module, a caching module, a commodity information reading module and an SDK module, and the alliance chain management module can manage and maintain block chain nodes and newly add consensus nodes for key link manufacturers on a supply chain in the block chain. According to the traceability system based on a block chain, the information security Tamper-resistant properties of the block chain are utilized;, the information can be protected from being stolen and tampered; the product information can be kept transparent and public in front of consumers; the credibility of the traditional traceability system is improved, the anti-counterfeiting traceability system can adapt to the existing external traceability means on the market, the anti-counterfeiting traceability work of the original product is supplemented and updated, and multiple anti-counterfeiting processes adopted by manufacturers are simplified, so that the labor and financial cost of the work is reduced.

Apparatus and method for assessing financial loss posed by cyber threats capable of affecting at least one computer network in which a plurality of systems operate based on statistical modelling of cyber threat events to determine predicted threat activity, to determine expected downtime of each system in dependence upon said predicted cyber threat activity, to determine financial loss for each of a plurality of operational processes dependent upon the downtimes of the systems, to add financial losses for the plurality of processes so as to obtain a combined financial loss arising from the cyber threat activity, to determine pricing of insurance, to determine cost benefit analysis of computer network security upgrades.

The invention relates to the field of oil and gas field exploration and development and mineral evaluation and prediction, and particularly relates to a multi-period fracture quantitative prediction method based on the fault activity. The paleo fall of the fault is solved based on seismic interpretation, different periods of fault activity plane models are established, and different periods of fracture density development models are established by calculating the fault activity information dimension; and a fracture openness evaluation model is established through current ground stress analysis so as to predict different periods of current fracture development indexes. The method is low in prediction cost and high in operability so that labor and financial cost can be greatly reduced, and the prediction result has certain reference significance for multiple aspects including preferential selection of important areas of oil and gas and mineral exploration and performing of later fracturing stimulation measures.

The invention discloses an automatic updating method of a fingerprint database in a WiFi indoor positioning system and belongs to the field of WiFi indoor positioning. The method comprises specific steps as follows: an AP (access point) with a data postback function is set, an initial signal feature list is established, static state recognition is performed on observation equipment, signal difference between the observation equipment and standard equipment is rejected, a partial updated fingerprint database is established, a residual updated fingerprint database is established, and the updated fingerprint database is combined. By means of the method, the labor and financial costs for fingerprint database updating are greatly saved, light load of a mobile terminal is realized, and the fingerprint database can be automatically and accurately updated when the indoor environment changes.

The invention belongs to the technical field of electric power equipment, in particular to a distribution network operation and maintenance and integrated management system. The system is suitable forthe management of power system electric energy supervision and maintenance, and can quickly and accurately grasp the distribution network operation and maintenance and integrated management of each power user. The system includes big data, cloud computing and an artificial intelligence analysis system. First, a lot of historical data is collected and stored, and cloud computing is carried out based on the historical data and real-time data. Then, the feedback result is analyzed by artificial intelligence, abnormal data is found before any problem occurs and expands, and alarm abnormality is handled through order issuing and first-aid repair via a platform. The hardware equipment of the system includes a data collector, a local computer, a local area network, a communication interface anda cloud server. The software of the system includes a data processing module, a detection module and a warning module. With the help of the high efficiency of the computer, the received data can be comprehensively analyzed to predict and analyze abnormality in advance, and orders can be issued intelligently to solve abnormality. Therefore, the maintenance time cost and the financial cost are reduced.

Described herein are methods and systems for registering a phone number as a payment facilitator. The phone number can be registered through a user's Bill Pay account, which is associated to the user's financial account. The user can specify the types of purchases that can be made using the phone number and request that a merchant processing a payment using the phone number convey customized details regarding the purchase. Purchase details associated with a purchase can then be provided to the consumer by the merchant. Also described herein are methods and systems for processing a payment using a phone number. The payment can be processed, in part, by a payment processor providing a consumer with a Bill Pay account associated with the consumer's financial account. The payment can be processed without the use of a credit card network and, as a result, without incurring unnecessary Interchange fees.

The invention discloses a cigarette identification method suitable for a wide retail scene. The method comprises the following two steps of A, carrying out image sample collection on various kinds ofexisting cigarettes in a fixed scene, and finishing fusion of actual retail scenes and data enhancement for cigarette sample images through an automatic scene fusion algorithm; and B, by utilizing data of the fused actual scenes, in combination with cigarette characteristics, carrying out identification model training to obtain a cigarette identification model. According to the method, by fusing actual scene images, the actual scene data in cigarette detection and identification can be rapidly and conveniently enhanced, so that the scale and the scene diversity of training data are improved; the method can be used for training collected data in a new scene; and the method is low in cost, is simple, convenient and rapid, is high in adaptability, high in identification precision and obviousin effect, and can save a lot of labor and financial cost expenditures.

The invention relates to a geometric cross-calibration method and system for spaceborne SAR images. The method comprises the steps of step 1), establishing an atmospheric delay correction model of images to be calibrated; step 2) establishing a geometric calibration model of the images to be calibrated; step 3), selecting pairs of points with the same name from the images to be calibrated and reference images; step 4, according to imaging time of the images to be calibrated, using global atmospheric data provided by NCEP and ionospheric electron content distribution data provided by the European Orbit Determination Center (CODE), through the atmospheric delay correction model established in the step 1), calculating atmospheric delay correction values of the image to be calibrated; step 5),substituting the several pairs of points with the same name obtained in step 3) and the atmospheric delay correction values obtained in step 4) into the geometric calibration model established in step 2) to complete geometric calibration parameter solution. The method can achieve the normalization and short-period geometric calibration of a SAR satellite, do not need to arrange targets in advanceon the ground, and greatly save manpower and financial cost.

A unique, integrated non-obvious pathway to convert biomass to biofuels using integration of chemical processes is described herein. The present invention is simple, direct, and provides for the shortest or minimum path between biomass and transportation fuels with alcohols as intermediates, while avoiding hydrogen use during processing. Furthermore, the present invention allows the manufacture of “drop-in” substitutable fuels to be used as-is without modifications instead of conventional petroleum based fuels. The processing described herein is done under mild conditions, under relatively low pressures and temperatures, and under non-corrosive conditions obviating use of special equipment or materials. The novel integration heat and mass generated during the process increases overall process efficiency and lowers financial costs for processing and capital equipment, manages environmental impact, and enables a relatively high degree of yield by an enhanced usage of fresh water and thermal energy in comparison to the amount of biomass processed.