56results about How to "Comprehensive calculation" patented technology

The invention relates to a modeling method of a motor in electromagnetic field-flow field-temperature field coupling calculation. The method comprises the following steps that (1) a finite element calculation model of the motor is established, and an electromagnetic field value is calculated; a rotor calculation domain is set into a multi-component fluid calculation domain, and a model calculation domain of air, a rotor conductor and a rotor iron core is established; (3) the value is calculated in the corresponding model calculation domain, and the velocity of movement is worked out; (4) a result which is worked out from the calculation of the electromagnetic field value and the calculation domain of each part of the multi-component fluid serves as load and is loaded into a temperature field to solve and calculate, and a temperature result is worked out. The method is adopted to set the rotor calculation domain into multi-component fluid; in such a manner, after a rotor part which is originally slid is equivalent into liquid, the rotor part can be processed and solved quickly and conveniently through a fluid control equation, so that not only is the heat loss of all parts in the motor calculated comprehensively and precisely, but also the calculation time and calculation complexity can be greatly reduced.

The invention discloses a wind power disturbance online safety precaution method. The wind power disturbance online safety precaution method comprises the following steps: acquiring real-time running methods of a power grid and a wind power plant; obtaining possible wind power disturbance of a current power grid in combination with historical data of the wind power plant; comprehensively calculating and evaluating safety and stability situations of the current power grid which is suffered from wind power disturbance; and carrying out online safety precaution of the wind power disturbance. Information of SCADA and information of WAMS are comprehensively utilized to carry out load flow calculation, the result is approximate to the actual situations, and the obtained effect is good. By the wind power disturbance online safety precaution method, high frequency historical monitoring data of the wind power plant are analyzed, the problem of difficulty in obtaining wind power disturbance information is solved, and wind power plant anticipated disturbance accords with actual situation of the power grid. A dynamic safety evaluation and precaution technique is combined with the wind power disturbance online safety precaution method, the power grid which is suffered from the wind power disturbance is subjected to comprehensive safety and stability calculation in distributed and parallel ways, and the calculation efficiency is high. And moreover, by the wind power disturbance online safety precaution method, weak areas of the power grid which is suffered from the wind power disturbance are given, and the calculation results are intuitional and easy to understand, so that practical dispatching and operation are easily guided.

The application discloses a keyword dynamic regulating method and system applied in search engine optimization, wherein the method comprises that a website server configures N dimensions and N dimension weights for each keyword to be calculated according to the received user input information, wherein one dimension corresponds to one dimension weight, and N is of a natural number larger than 1; the server calculates the score of the keyword in each dimension, and calculates the value indexes of the keywords according to the calculated N scores and the N dimension weights; and the server uses the value indexes of the keywords to dynamically regulate the keywords of the website. The keyword dynamic regulating method and system can customize and calculate the dimension needed by the keywords according to the user input information, and dynamically regulate the value dimension of the keywords according to practical demand, thus solving the problem in the prior art that due to lack of customization, the value evaluation of the keywords causes poorer applicability, and meeting the customized demands of different websites.

The invention discloses a bend safe speed calculation method based on vehicle and road collaboration. The method comprises the steps as follows: firstly, the cut-in speed of a vehicle at a bend, the geometrical characteristic of the bend and other information are acquired by use of an OBU (on-board unit) and an RSU (roadside unit) in a vehicle and road collaboration system, driving styles of different drivers are reflected by replacing the bend radius with the driver running radius, and a bend speed model self-adaptive to the driving styles of the drivers is established; then, accident forms such as sideslip, rollover, rear-end collision and the like of the vehicle are considered, the optimal bend speed of an autonomous vehicle is decided in the aspects of yaw stability, sideslip stability, car following safety, driving comfort and the like, and finally, expected speed planning is provided for an active control system of the vehicle. Compared with existing bend safe speed calculation methods, the bend speed calculation method has the advantages that multiple accident forms such as sideslip, rollover, rear-end collision and the like are considered comprehensively, considered factorsare more comprehensive, and the speed planning of the autonomous vehicle can be supported.

The invention relates to a virtual power plant multi-energy complementary source load storage optimal configuration method, which comprises the steps of establishing a virtual power plant operation cost model according to a predicted load demand, an internal source equipment capacity and an energy storage equipment capacity; establishing an internal distributed energy operation model according tothe generation of the cooling, heating and power between the internal distributed energy and the energy consumption; then carrying out deployment optimization on distributed energy in the virtual power plant by applying an evolutionary particle swarm algorithm, an operation cost model of the virtual power plant and a distributed energy operation model; carrying out deployment optimization on distributed energy in the virtual power plant; and finally, determining an operation scheme with the lowest relative operation cost according to the day-ahead prediction load demand, the real-time electricity price of the external power grid and the operation parameters of the virtual power plant source equipment. According to the method, the optimal deployment scheme of the distributed energy in the virtual power plant operation model can be comprehensively, accurately and conveniently calculated, and method guidance is provided for benefit maximization of the virtual power plant and adjustment ofthe power grid.

The invention discloses a harmonic power calculating method for electric energy measuring. The harmonic power calculating method includes: performing fast Fourier transform (FFT) on the synchronously input voltage and current sampling current to obtain values of harmonic components, and obtaining active power and inactive power of the harmonics through special formula on the basis of the harmonic components. The whole computing process adopts a pipeline digital processing unit, and compared with a traditional harmonic power calculating method, the harmonic power calculating method is simple, less in computing by adopting a pipeline system and accurate in computing results.

The invention belongs to the technical field of the television advertisement, and provides a television advertisement-delivery analysis system and method for solving the problems of incomplete collection of advertisement resources, limitation of man-made experience-based judgement, low cost performance of the delivery scheme made and long making period in the process of making the television advertisement delivery scheme in the prior art. In the invention, a media data making system, a user demand information collection system and a delivery analysis system are included, wherein the media data making system is used for collecting and calculating advertisement resource information; the user demand information collection system is used for collecting relevant information including a major advertisement delivery object, a media discount and the like; and the delivery analysis system is used for receiving the information provided by the media data making system and the user demand information collection system, and performs the calculation and selection of the cost performance; therefore, the television media delivery scheme is generated in a full-automatic, comprehensive-calculation and high-speed manner.

The invention designs a 3 / 4 long PCIE standard card supporting PCIE expansion, which is used for PCIE signal expansion. This PCIE standard card, suitable for mainstream servers, can provide a single card maximum X48 PCIE lane for servers. The invention is used to connect PCIE standard cards, allowing the server to have greater storage capacity, computing power and network channels. In addition, the PCIE standard card supports server PCIE signal expansion, and can support the conversion of X48 to X144 PCIE Lane at most. Because there are multiple PCIE Lanes, the PCIE standard card can greatly enrich the storage, calculation and network configuration of the server. The invention also provides a PCIE expansion system, which adopts a plurality of PCIE expansion cards inserted on a motherboardX16 PCIE slot to communicate with the motherboard. Several PCIE expansion cards communicate with PCIE devices through X8 Slimline to provide a simpler and cheaper PCIE expansion solution. In the priorart which aims to mount PCIE equipment, a PCIE Box is specially designed, which will increase the cost of PCIE equipment. The cost of PCIE Box is low and the universality of PCIE equipment will be improved when PCIE equipment is designed as a standard card.

The invention discloses an emotion analysis method based on structuring features. The emotion analysis method includes the steps of collecting Twitter text data; building a Twitter text database; collecting existing emotion polarity value dictionaries; manually establishing related auxiliary dictionaries; preprocessing the Twitter text database; defining an emotion score influence factor, extracting language features of information, and updating the value of the emotion score influence factor every time one language feature is extracted; calculating the emotion polarity values of the Twitter text data through the emotion polarity value dictionaries and the emotion score influence factor. According to the emotion analysis method based on the structuring features, it is avoided that in supervision methods, a large amount of marked data is required to train a classifier, and analysis and generalization are difficult; the CPU processing requirement, the internal storage requirement and the overhead for calculating training time are reduced.

The invention discloses a domain name service risk assessment method and a system based on DNS (Domain Name System) resolution dependence, which are used for determining a region, a domain name and aserver which are depended in the resolution process of a given domain name, and can calculate the risk of successful resolution of the given domain name under the condition of knowing the risk of related servers. The method comprises the following steps: extracting four types of resource records of A, AAA, CNAME and NS from passively acquired DNS data; constructing a resource record dependence graph of given domain name resolution by utilizing parent region dependence, name server dependence, alias dependence and server dependence in the domain name resolution process; converting the domain name resolution resource record dependency graph into a logic relationship tree by utilizing the relationship among the four dependencies; and calculating a risk value of normal resolution of the givendomain name from bottom to top by utilizing the risk evaluation value of the server in the logic relationship tree.

The invention provides a method for calculating heat consumption and an electronic device. The method is used for solving the technical problem that the electronic device has poor accuracy in calculating heat consumption by movement. The method comprises the steps of determining that a user is in a movement state through an induction unit of the electronic device, and obtaining a first movement parameter of the user in the first direction and a second movement parameter of the user in the second direction; obtaining sign information of the user; and calculating a heat consumption value of the user during the movement based on the first movement parameter, the second movement parameter and the sign information.

The invention provides a reliability analysis method for a marine passive safety system, and belongs to the probability safety analysis and evaluation field of marine nuclear power units. The providedmethod comprises the following steps: (1) using complicated ocean motion as an uncertainty parameter, and combining thermotechnical hydraulic analytical calculation in the ocean condition; (2) screening system key parameters in the different running states by using a global sensitivity analysis method; (3) generating a response surface substitution model to improve the computational efficiency; and (4) integrating a physical invalid result to a PSA model, quantitatively calculating the reliability of the passive safety system under the different ocean conditions. The provided method is capable of integrating the complicated external operating environment to the probability safety analysis process, more efficiently, accurately and globally calculating the reliability of the passive safetysystem under the different ocean conditions, and expanding the application range of the passive system reliability analysis method.

The invention relates to a deployment method for a plurality of water surface sink nodes of an underwater wireless sensor network. The method comprises the steps of establishing a life cycle model ofthe network and a delay model of the network; importing a local differential search method and differential cross and mutation operators to improve an NSGA-II algorithm, and carrying out deployment optimization on the plurality of water surface sink nodes of the underwater wireless sensor network through application of the improved NSGA-II algorithm and the life cycle model and the delay model ofthe underwater wireless sensor network; and carrying out relative efficiency sorting through application of the deployment method for the plurality of water surface sink nodes, and determining a relative efficiency optimal deployment scheme, wherein the relative efficiency optimal deployment scheme is obtained by a super-efficiency DEA method. According to the method, the optimized deployment scheme for the plurality of water surface sink nodes of the underwater wireless sensor network can be computed comprehensively, precisely and conveniently, and the method guidance for the underwater wireless sensor network to maximally reduce the energy consumption and network transmission delay is provided.

The invention discloses a frame structure optimizing method based on 3D printing. The frame structure optimizing method comprises the following steps that a, the stress and material attribute information of a frame is input according to design needs, and an initial frame model is constructed according to generative design; b, the initial frame model is subjected to degressive optimization based onan edge shrinkage algorithm with secondary errors as measurement cost, and a simplified frame model is obtained; c, a point set is distributed in the simplified frame model, all points in the point set are connected, then the points high in distribution manner and connecting manner efficiency in the point set are calculated and reserved based on a multi-objective optimization algorithm, the redundant points are deleted, and a frame optimization model is obtained; and d, the radius of a finished pipe is input, the structure in the frame optimization model becomes a volume from a line, and a frame 3D printed model is generated. The frame structure optimizing method has the advantages of reducing the printing material utilization quantity and being low in cost and good in structural strength.

The invention provides a wind generating set flange connecting bolt fracture positioning early warning method. The wind generating set flange connecting bolt fracture positioning early warning methodcomprises the following steps of firstly, dividing bins according to wind speed and flange navigation, correspondingly storing displacement data acquired by a split type displacement sensor into corresponding storage bins according to the wind speed and yaw position, calculating a bolt displacement sliding average value and a bolt displacement peak value under the current wind speed and yaw position in each preset calculation period, and carrying out bolt loosening alarm, bolt external load overlarge alarm and flange clearance monitoring alarm. According to the method, bolt looseness alarm, bolt external load overlarge alarm and flange gap monitoring alarm can be carried out through the split type displacement sensor in combination with a wind speed signal and a yaw signal, the calculationis comprehensive, the calculation efficiency is high, and the reliability is high; and the fracture condition of the connecting bolt between the flanges is monitored on line in real time, and equipment damage caused by failure of the flange connecting bolt is avoided.

The invention discloses a method for calculating a safety valve threshold of a reactor cold overpressure stabilizer. The method mainly comprises the following steps: 1, establishing a thermal hydraulic model by utilizing a nuclear reactor thermal hydraulic system analysis program; 2, verifying the reliability of the model through the standard operation condition of the reactor; if the model is unreliable, returning to the step 1, and readjusting the model; 3, determining an allowable operation pressure range of the reactor; 4, setting a cold overpressure transient working condition and supposing an initial opening and closing value of the valve; 5, judging the most dangerous part of the reactor pressure vessel and obtaining a transient P-T curve of the most dangerous part; 6, continuouslyadjusting the opening and closing pressure of the valve, comparing the transient P-T curve with the allowable operation pressure range of the reactor in the step 3 until the maximum closing pressure and the minimum opening pressure of the valve are found, and obtaining a reasonable valve threshold value. According to the cold overpressure valve threshold value calculation method, the influence ofvarious key factors under a cold overpressure accident is comprehensively considered, the valve threshold value is more conservatively and effectively calculated, and a basis is provided for reactor safety design.

The invention provides a traffic scene risk assessment method and device, capable of performing risk assessment on a traffic scene through risk features of risk factors in the traffic scene, wherein the risk factors comprise a collision factor, a shielding factor and an interference factor in the traffic scene. When the traffic scene risk assessment method performs risk assessment on a traffic scene, the traffic scene risk assessment method can comprehensively consider the mutual relation between the different risk factors in the traffic scene, so as to conduct risk feature calculation on therisk factors bringing risks in the traffic scene more comprehensively, and then improve the evaluation efficiency during risk evaluation of the traffic scene.

A system for operation and maintenance of network devices, including a device layer including at least one network device and a pre-processing layer including pre-processing device(s); the network device obtains a CDR of a call and transmits the CDR to the pre-processing device; the pre-processing device filters the CDR and performs centralized operation and maintenance of network devices. The network device forming the device layer, the pre-processing device forming the pre-processing layer and a method for operation and maintenance of network devices in the above system are also provided. Through the technical scheme, call services are separated from operation and maintenance management and functions of the network devices are unified, which results in more stable operation of the network devices; the operation and maintenance management will be more flexible and it becomes easier to monitor the whole network and to perform operation and maintenance of network devices.

The invention relates to the technical field of urban road traffic signal control, and particularly discloses a signalized intersection lane green light loss time calculation method, which comprises the steps of generating release state information of a lane according to a corresponding relationship between intersection signal lamps and the lane; receiving release state information of each entrance lane, and sending the release state information to the data analysis unit in real time; detecting traffic flow operation information on an entrance lane of the current intersection in real time, andsending the traffic flow operation information to a data analysis unit; and calculating corresponding green light loss time in different traffic scenes by the data analysis unit according to the release state information and the traffic flow operation information of each entrance lane, and sending the green light loss time to the traffic signal control machine. The invention further discloses a system for calculating the green light loss time of the signal intersection lane. The signalized intersection lane green light loss time calculation method provided by the invention can accurately obtain the signalized intersection green light loss time, thereby providing data support for scientific evaluation of signalized intersection control benefits.

The invention discloses a numerical simulation method for inter-box flow of a liquid metal cooled fast reactor core. The method mainly comprises the following steps: 1, dividing an inter-box channel control body; 2, establishing an inter-box channel control equation; 3, discretizing the control equation; 4, obtaining initial parameters and transient boundary conditions of an inter-box channel; 5,programming, iterating and solving four control equations; and 6, outputting changes of a temperature field and a speed field of a channel between transient boxes. According to the numerical simulation method, modeling is carried out according to the real geometrical characteristics of the inter-box channel, the natural circulation path of the inter-box flow and the influence of the inter-box flowon the temperature distribution and residual heat removal capacity of the reactor core under the accident condition are analyzed, and therefore the safety of the liquid metal cooling fast reactor isevaluated more comprehensively and effectively.

The invention is applicable to the technical field of energy storage, and provides an energy storage system and an internal resistance detection method thereof. The energy storage system comprises an energy storage converter, a battery management system, an energy management unit and a battery pack, and the method comprises the steps that: the energy storage converter injects corresponding specific current into the battery pack according to a detection instruction; the battery management system synchronously detects voltage data and current data of the battery pack and each single battery in a specific current injection period; and the energy management unit or the battery management system correspondingly determines the internal resistance of the battery pack and the internal resistance of each single battery according to the voltage data and the current data of the battery pack and each single battery. The internal resistance detection method of the energy storage system provided by the invention solves the problems that the system cost and the integration complexity are increased due to the fact that detection equipment needs to be additionally added in the prior art.

The invention discloses a method for measuring the significance of an image target, relating to the field of significance algorithms of image targets. The method comprises the following steps: (1) carrying out manual image-background division on the image target, so as to obtain a target significance map and coordinate sets of positions of borders; (2) sampling an image to obtain N*N image blocks,and classifying the N*N image blocks by combining with the target significance map, so as to obtain a target and background image block library; (3) respectively screening and separating a target andbackground image block closest to each border at coordinate positions of M borders, and carrying out pairing, so as to obtain M pairs of target and background image blocks; (4) carrying out sparse representation on each image block, so as to obtain parameters of each image block; and (5) integrating the target and background image blocks obtained in the step (3) with the parameters obtained in the step (4), so as to obtain a significance value of an arbitrary target. According to the method, the problems that the significance value is inaccurate when significance factors of the target in theimage are not considered and is not accordant with visual significance in the prior art are solved, and the significance value of the image object is accordant with the visual significance.

The invention relates to a resource allocation method and device, electronic equipment and a computer readable medium. The method comprises the steps of obtaining user information of a user accordingto a comprehensive risk score calculation request; calculating at least one risk score of the user in at least one state of at least one service based on the basic information, the service informationand the state information corresponding to the service information; performing segmentation mapping on the at least one risk score of the user to generate at least one mapping value, and determininga weight for the at least one mapping value; determining a comprehensive risk score of the user based on the at least one mapping value and the corresponding weight; and performing resource allocationfor the user based on the comprehensive risk score. According to the method, the comprehensive risk score of the user can be comprehensively calculated in real time in a multi-dimensional manner, resource allocation is carried out based on the comprehensive risk score, the enterprise resource safety is maintained, and the enterprise safety risk is reduced.

The invention discloses a device and method for monitoring the damping effect of an elastic support of a gearbox of a wind turbine generator, and belongs to the technical field of state monitoring of the wind turbine generator. According to the vibration characteristics of the gearbox and the vibration isolation rule design of the elastic support, filtering processing and multi-band monitoring are carried out on collected signals, comprehensive monitoring is ensured, the monitoring effectiveness can be ensured by performing filtering and frequency-band-division processing on collected signals, and vibration effective values are compared in a targeted manner according to frequency bands, so that the operation state of the elastic support is mastered, the vibration reduction effect is effectively calculated, and the operation state of the elastic support is mastered. Parametric variables involved in calculation are few, calculation errors can be greatly reduced, and robustness is improved. The operation state of the elastic support of the gearbox can be monitored on line in real time, damage to a unit caused by failure of the elastic support is prevented, the predictive maintenance function is achieved, and safe and stable operation of the unit is guaranteed.

The invention discloses a wireless sensor network clustering method based on Sink trust value evaluation. The problem that a wireless sensor network in the prior art is insufficient in safety control and energy consumption balance refining and high in network node resource requirement is mainly solved. The wireless sensor network clustering method comprises the steps that 1 node statistic and interaction situation of neighbor nodes are obtained; 2 Sink nodes evaluate trust values of all nodes according to the interaction situation sent by the modes; 3 the Sink nodes select new clustering heads according to the trust value evaluation; 4 the residual non-cluster-head nodes select clusters according to communication expenditure. The wireless sensor network clustering method comprehensively considers clustering network safety and simple demand, improves the overall energy balance of a network, prolongs the life cycle of the network, improves the safety of the network and reduces network node cost.

The invention provides a profit data determination method, electronic device and storage medium. The profit data determination method includes obtaining contract data when a profit data determinationinstruction is received; determining revenue data based on the contract data; acquiring manpower data and non-manpower data associated with the revenue data; calculating human cost data according to the human data, and calculating non-human cost data according to the non-human data; determining expense data according to the labor cost data and the non-labor cost data; determining a revenue deviation rate of the revenue data, and determining an expenditure deviation rate of the expenditure data; calculating profit data based on the revenue data, the revenue deviation rate, the expense data, andthe expense deviation rate. The invention can automatically determine profit data through data analysis, which is accurate and efficient, and can bring better experience to users.

The invention discloses a frame structure optimization method based on 3D printing, which is carried out according to the following steps: a. input the force and material attribute information of the frame according to the design requirements, and construct the initial model of the frame by using generative design; b. Use the edge contraction algorithm based on the quadratic error as the measurement cost to optimize the initial model of the frame by reducing the area, and obtain the simplified model of the frame; c. Distribute point sets in the cavity of the simplified model of the frame, and connect the points in the point set to each other, Afterwards, based on the multi-objective optimization algorithm, calculate and retain the points with the highest point distribution and connection efficiency, and then delete redundant points to obtain the frame optimization model; d. Input the tube radius, and convert the structure in the frame optimization model from the line Turn into a body and generate a 3D printing model of the frame. The invention has the characteristics of reduced printing material consumption, low cost and good structural strength.

The invention discloses a method for calculating equivalent stiffness and equivalent damping of a fluid fulcrum tilting pad sliding bearing. The existing calculation method for the equivalent stiffness and the equivalent damping of the fluid fulcrum tilting pad bearing has a great improvement space. According to the method, equivalent dynamic models of a journal, an inner oil film, an outer oil film and a tilting-pad sliding bearing in x and y directions are established, a motion differential equation is established according to force balance, an oil film force calculation formula is expanded in a Taylor series mode, high-order variables are omitted, displacement and acceleration of the journal and a tile in the x and y directions under three sets of excitation force are measured, and the displacement and acceleration of the journal and the tile in the y and x directions are calculated. And constructing a transfer function, substituting the transfer function into a matrix equation expressed by amplitude and phase, and solving to obtain a rigidity coefficient and a damping coefficient of the fluid fulcrum tilting pad sliding bearing. According to the influence of the damping hole, the rigidity coefficient and the damping coefficient are calculated through a transfer function method, and compared with calculation in a fluid form, the calculation process is more concise, and calculation is more comprehensive and accurate.

The invention relates to a computing method of unbalancedness of multi-circuit power transmission lines on the same tower. The method comprises the steps of computing the initial impedance and admittance matrix of each line according to the conductor type, conductor division method, pole and tower type and lightning conductor connecting method of each power transmission line; selecting electric parameters and building a model of the multi-circuit power transmission lines on the same tower based on computing results in the PSCAD / EMTDC environment; setting a short circuit and an open circuit of the tail end of each power transmission line, computing the current value of the short circuit of the tail end of each power transmission line and the current value of the open circuit of the tail end of each power transmission line, and obtaining sequence components of the current of the short circuit of the tail end of each power transmission line and the open circuit of the tail end of each power transmission line by means of the symmetrical component method through conversion; computing the electromagnetism and static electricity unbalancedness of the multi-circuit power transmission lines on the same tower based on the sequence components of the current of the short circuit of the tail end of each power transmission line and the open circuit of the tail end of each power transmission line. The computing method of the unbalancedness of the multi-circuit power transmission lines on the same tower is capable of computing the unbalancedness of the multi-circuit power transmission lines on the same tower comprehensively, accurately and conveniently and provides theoretical guidance for optimal design and operation of the multi-circuit power transmission lines on the same tower with different voltage classes, different pole and tower types and different phase sequence arrangement methods.

The invention discloses a torsion acquisition system and a pedal sensor, and the torsion acquisition system comprises: a first full-bridge circuit which is configured to output a corresponding first strain voltage according to the resistance value of a first strain unit and the resistance value of a second strain unit; a second full-bridge circuit which is configured to output a corresponding second strain voltage according to the resistance value of the third strain unit and the resistance value of the fourth strain unit, wherein the first strain unit, the third strain unit, the second strain unit and the fourth strain unit are sequentially fixed to the pedal transmission shaft in the circumferential direction of the surface of the pedal transmission shaft; and a signal processing circuit which is configured to output the acquired data according to the first strain voltage and the second strain voltage and calculate torsion transmitted to a crank of the bicycle by the pedal transmission shaft according to the acquired data and a preset comparison program. According to the invention, the torsion transmitted from the pedal transmission shaft to the crank of the bicycle can be calculated more accurately, and high-precision seamless torsion acquisition is realized.