48 results about "Default rate" patented technology

The invention discloses a credit rating management consultation system, which comprises fifteen modules. A method comprises the steps of: 1, inputting basic information of a customer first, and then inputting customer profiling, customer historical evolution, public management organization information, customer operation state investigation, financial credit status and social credit information recording modules; 2, entering a financial analysis module; 3, entering a credit rating module; and 4, entering a comprehensive evaluation comment module, a risk management system module, a network information inquiry module, a credit standard maintenance module and a default rate module, and finally entering a system management module. The credit rating management consultation system ensures that the design of the system has the characteristics of clear structure, easy extension, easy reuse, easy development, high interactive distributed operation and the like.

A method and apparatus for developing a structural model of credit risk that incorporates the short-term uncertainty inherent in default events is disclosed. The model is based on the assumption of incomplete information, taking as premise that bond investors are not certain about the true level of a firm's value that may trigger default. In addition, the coherent integration of structure and uncertainty is facilitated with compensators. Compensators form the infrastructure of a class of credit models that is broad enough to include traditional structural models, intensity-based models, and a great deal more. Several empirical examples are provided that compare default probabilities and credit yield spreads forecast by the incomplete information model to the output of a Black and Cox (1976) model. It is found that the incomplete information model reacts more quickly and, unlike traditional structural models, forecasts positive short-term credit spreads for firms that are in distress. It is also demonstrated that while the model is predicated on the surprise nature of default, it does not have conditional default rate.

A computerized system and method for evaluating collateralized debt obligations receives user input selecting a scenario or feature, loads data related to a portfolio of securitized assets on to the computer storage medium, determines a scenario default rate using at least one of a beta distributed recovery, a counterparty risk, a loss given default, or a non-zero inter-sector correlation, or models at least one of a short position scenario, a n^th to default basket, a forward start date and an equity default swap, and reports a result relating to the scenario default rate.

The invention discloses a temperature moisture collecting communication system for a greenhouse shed based on wireless sensor network, which comprises the following parts: a wireless sensor network constituted by measuring nodes which are distributed in the greenhouse shed; a monitoring device which is formed by connection of nodes in a base station and a monitoring terminal. The nodes in the base station are provided with wireless communication with the wireless sensor network. The monitoring terminal sets the communication system as a local display working mode or remote monitoring working mode through sending a control command. An input device is arranged in the monitoring terminal, such that the user can control the rate of sending data by the input device. The default rate of sending data is set as one time in per 30 minutes. The invention has the advantages of small volume, less power consumption, rapid network layout, convenient deploy and low cost.

The present invention relates to a finance modeling optimization method based on information self-circulation, characterized by: establishing a risk measurement initial model as the initial model, collecting customer information according to the data required by the model, measuring the risk value for each customer by using the model and the customer information, grouping the customers according to the measured risk value for each customer, making a statistics of default rate for each group of customers, determining whether the initial model is coincident with the measured result by contrasting the default rate for each group of customers with the defined default rate for each group of customers, correcting the risk measurement model if the initial model is not coincident with the measured result, and repeating the last step until the measured result of the model is coincident with the defined risk value. The adoption of the finance modeling optimization method combined with software in a credit management system can realize the risk management model optimization with the most rigorous thinking, the shortest time, the most convenient operation and the minimum cost.

The invention provides a dynamic adjustment method and system for a virtual machine. The method comprises: obtaining a server host in first and second running states, wherein in the first running state, an overload server host cannot meet an SLA default rate, and in the second running state, the load utilization rate of a no-load server host is lower than a preset threshold; and solving a global optimal solution of the virtual machine required to be migrated by using an extremal optimization based particle swarm algorithm. The virtual machine is adjusted according to an optimal solution result; and the steps are repeatedly performed every a predetermined cycle in a predetermined time window so as to finish dynamic adjustment of the virtual machine. The VMDA problem is efficiently solved by using the improved algorithm fusing extremal optimization with particle swarm.

The invention relates to a credit rating system and a credit rating method based on credit rating and loss given default matching. The system consists of a data analysis module, a system maintenance module, a data query module and a report production module, wherein the report production module has the functions of preserving a credit rating result, printing and previewing. By the system and the method, credit essential attribute requirements that when the credit rating is high, the loss given default is low can be met, and clients with the rating under the break-even point cannot be loaned in case that creditors such as commercial banks have an understanding about the default rate corresponding to different credit ratings, so that the loan loss can be reduced. By the credit rating adjusting result, the credit rating order of the solvency of clients is provided during studying and practicing, and the default rate and loss given default of each credit rating are provided, so that more information that the public concern is provided than the conventional bank credit rating system.

A control system is disclosed. The control system may have a physical sensor configured to measure physical parameter values of a machine. The control system may also have a virtual sensor network system configured to receive the physical parameter values measured by the physical sensor as input parameter values, and generate output parameter values based on the input parameter values. Further, the control system may have an electronic control module configured to store an output parameter value default rate of change and an output parameter value threshold rate of change, compare a rate of change of the output parameter values generated by the virtual sensor network system to the output parameter value threshold rate of change, and control the machine based on the output parameter value default rate of change if the rate of change of the output parameter values exceeds the output parameter value threshold rate of change.

A method for processing user credibility social network data provided by the invention is provided with a social network platform including WeChat, and includes: a step of user registration and generation of a corresponding social relation judging request; a step of obtaining different levels and types of social contact data network information while a user initiates a loan request; a step of data entry, cleaning and combing and output of user social contact data; a step of performing user credit assessment in a user social circle to obtain user credit data; and a step of performing secondary credit granting rating and a step of performing credibility assessment and judging the loan default rate and credit granting risk of the user. The method has the advantages that through estimation of the overdue rate of users, an assessed value of a model used for distinguishing user quality can reach above 40, an assessed value of a traditional model is only about 35, and the identification rate of user assessment can reach above 70%, i.e., repayment results of 70% of users can be accurately identified through the model. Remarkable effects are achieved in practical application compared with credit granting in a traditional mode.

The invention belongs to the technical field of intelligent power grids, and particularly relates to a distributed electric energy trading method based on a block chain intelligent contract technology. The method comprises the steps of 1, establishing a DHT network, and uploading historical power generation information of each electricity seller in the network through an intelligent electric meter; 2, sending an electricity purchasing contract to the DHT network by an electricity purchaser, and after auditing is passed, broadcasting the electricity purchasing contract to each node in a block chain; 3, sending an application to the DHT network by the electricity seller applying for joining the electricity purchasing contract; and 4, matching the electricity seller according to the historical power generation information and finishing the making of the electricity purchasing contract by the DHT network, and deploying a newly formed electricity purchasing contract into the block chain after the newly formed electricity purchasing contract is verified and confirmed to be legal by all user nodes. The lightweight calculation based on the block chain is realized, a supply and demand relation is reasonably matched, and the default rate of the intelligent contract is reduced; and the characteristic that the block chain is open and transparent and cannot be tampered realizes economic, efficient, green and de-centralized electric power trading on the premise of ensuring security.

The invention discloses a charging-discharging control method of an electric vehicle. The charging-discharging control method comprises the following steps of firstly, making a basic charging-discharging strategy of the electric vehicle, counting electric vehicles applied to join in a local area, screening out the electric vehicles conform to a condition to participate in charging-discharging service of the electric vehicle, and determining the charging-discharging service of the electric vehicle and carrying out optimal combination according to a usage rule of the electric vehicle and power utilization conditions of other loads of a power grid; secondly, acquiring power grid information in real time, inputting the power grid information to a neural network, judging a current load state of the power grid, and carrying out the charging-discharging arrangement of the electric vehicle according to the prior power utilization rule; and finally, monitoring the charging-discharging state of the electric vehicle in real time, and removing the electric vehicle with high default rate. By the charging-discharging control method, the electric vehicle serves as a power utilization device and also can be changed to a power generation device in a specified time, thus, through intelligent management on charging and discharging of the electric vehicle, the running efficiency of the power grid is improved, and the stability of the power grid also can be improved.

The invention provides an automobile lamp body die separating type inclined core-pulling mechanism. The separating type inclined core-pulling mechanism comprises a fixed die insert mounted on a fixed die plate and a movable die insert mounted on a movable die plate, wherein a movable die sliding block is arranged on the movable die insert, the movable die sliding block is connected with an upper-lower movable block through a limiting mechanism, an elastic component is sleeved on the upper part of the limiting mechanism, the lower end of the upper-lower movable block is provided with a sliding chute, an inclined hole insert pin is slidingly arranged in the sliding chute, the upper end of the upper-lower movable block is provided with a nylon die locker, a nylon die locker bush is sleeved on the nylon die locker, and the nylon die locker bush is fixedly arranged on the fixed die insert. According to the automobile lamp body die separating type inclined core-pulling mechanism, the technical difficulties that the complex cylinder core-pulling mechanism of the traditional die needs frequent maintenance and the default rate is high are solved; the injection molding period is further shortened without fussy cylinder core-pulling action, the production cost is reduced, and good economic value is realized.

The invention provides an attraction-based taxi-taking method characterized by calculating the attraction of a customer terminal to a service terminal, and the attraction of the service terminal to the customer terminal according to the default rate and the acceptance rate of a driver, and the canceling rate and the reward rate of a user of the customer terminal so as to help the customer terminal and service terminal decide whether to match. The invention also provides an attraction-based taxi-taking system which comprises a service terminal located in a driver's car, a customer terminal on a user's hand for searching taxies, and a server for providing a smart taxi service. The server includes relevant data of the service terminal and the customer terminal. The system helps the driver select the passenger and helps the passenger select the driver by executing a relevant algorithm, improves an order success rate for the taxi and passenger, thereby enhancing the experience of both the taxi driver and passenger.

The present invention relates to an apparatus for machining a variable trim line of a panel, which can machine the variable trim line through a simple manipulation within a single process at the time of machining a trunk lid panel. The apparatus includes: an upper die unit disposed at an upper die steel and including a select retainer adapted to selectively punch the variable trim line of the panel, and an upper punch adapted to be moved forward and backward; and a lower die unit disposed at a lower die steel in such a fashion as to be directed opposite to the upper die unit in a row and adapted to push a strap caught in the lower die steel while cooperating with punching operation of the upper punch of the upper die unit. With the apparatus, a die manufacturing cost can be reduced, productivity can be increased and default rate can be reduced.

The invention relates to risk assessment, in particular to a risk prediction method and device, computer equipment and a storage medium. The method comprises the steps of obtaining a state corresponding to a preset macroscopic scene; when determining that the state of the preset macroscopic scene is early warning, acquiring the severity of the preset macroscopic scene in the early warning state; counting the number of preset macroscopic scenes of which the severity meets a preset condition; when the number of the preset macroscopic scenes is more than one, selecting the preset macroscopic scene with the maximum influence degree on the default rate from the preset macroscopic scenes with the severity meeting a preset condition; calculating a predicted default rate of a product to be subjected to risk calculation through the selected preset macroscopic scene; and performing risk prediction according to calculated predicted default rate. By adopting the method, risk prediction accuracy can be improved.

A disclosed plastic extruder comprises a supporting seat, a material cylinder arranged above the supporting seat, heating devices arranged at the upper side and the lower side of the material cylinder, a feeding bin arranged above the material cylinder, a push rod arranged in the material cylinder, rotary teeth spirally arranged on the outer surface of the push rod, a reduction box connected with the left end of the push rod, a mold arranged at the right side of the material cylinder, an electric motor connected with the reduction box, and a dispersing device arranged on the reduction box and connected with the feeding bin. The plastic extruder disperses plastic particles entering the feeding bin through beating by utilizing a first rotary assembly and a second rotary assembly on the dispersing device, and enables the plastic particles to uniformly enter the material cylinder for processing forming, so that the produced product quality is guaranteed, and also default rate of the electric motor is reduced.

The invention relates to the field of big data processing, in particular to a product reject ratio prediction method and device, computer equipment and a storage medium. The method comprises the following steps: receiving an input product reject ratio prediction instruction, wherein the product reject ratio prediction instruction carries a product identifier; obtaining product data corresponding to the product identifier, and calculating according to the product data to obtain a predicted default rate; receiving an input initial loan balance growth condition, an initial verification and salesplan and an initial recovery rate; obtaining a predicted product loan balance according to the initial loan balance growth condition; calculating a product loss balance according to the predicted default rate, the initial recovery rate and the verification and sales plan; and calculating the ratio of the product loss balance to the product loan balance to obtain the reject ratio. By adopting the method, the reject ratio prediction accuracy of products can be improved.

A integrated block type valve block hydraulic control system for drill machine, which features the valve for controlling drill machine is integrated in a block whose valves have holes for oil flowing by being connected pipe with hydraulic power pump, the integrated block connected with hydraulic motor through pipe and oil cylinder in slide frame by check valve, the piston stem driving slide board and speed reducer to up/down reciprocating motion in slide frame. Said invention integrates the drilling and chiseling movement control into a controller which can complete the zero pressure starting, positive and negative rotation for drilling and dismounting drill stem, lifting drill stem by utilizing integrated valve set and reasonable hydraulic control system to reduce default rate.