37results about How to "Involving a wide range" patented technology

The invention discloses a local area network (LAN)-based network examination system and an implementation method thereof. The LAN-based network examination system adopts a client/server (C/S) mode framework; an examination room server, an examination affair operating terminal and examinee operating terminals form a local are network; and examination test questions in the examination room server are decrypted by the examination affair operating terminal and then converted into a data format which can be identified by the examinee operating terminals. The examination affair operating terminal classifies and collects data files of problems worked by examinees and archives examination data. The examinee operating terminals display the identified data and provide an examination environment for examinees. The LAN-based network examination system has lower requirements on network and hardware configurations, stronger adaptability and high compatibility, and only each examinee operating terminal is communicated with a twisted pair cable and is connected with each other by using an exchanger to form the local area network, thereby greatly saving the input of network equipment. The examination data are transferred in the local area network and has no physical contact with the internet, thereby guaranteeing data security and stability of the examination system.

The invention relates to a current transformer operation evaluation method, which comprises the following steps: 1) original data of a field current transformer acquired by a system are monitored in an online mode via a remote metering device, and the original data are uploaded to a data server of an upper PC; 2) the upper PC classifies the original data, and according to the original data after classification, a mathematical model for current transformer operation evaluation is built; and 3) according to the built mathematical model for current transformer operation evaluation, current transformer operation is evaluated, a final health index HI of the current transformer is acquired, and according to the final health index HI, an operation trend of the current transformer is predicted and early warning is carried out. Compared with the prior art, the current transformer operation evaluation method has the advantages of being scientific and reasonable, a large specific number of research objects, wide covering range, systemaltization, intelligence and the like.

The invention discloses a vocal music learning electronic auxiliary pronunciation system which comprises an audio acquisition module, a mouth shape image acquisition module, a throat position detection module, a characteristic signal acquisition module, a respiratory rate acquisition module, a data processing module, a pronunciation standard evaluation module, a mouth shape standard evaluation module, a pitch extraction module, a beat extraction module, a note pitch and note value model construction module, a primary evaluation module, a comprehensive evaluation module, a pronunciation auxiliary guidance module, a training program generation module and a central processing unit. The vocal music learning electronic auxiliary pronunciation system realizes the acquisition and evaluation of the data in a whole pronunciation detection process based on a computer system, has a high automation degree and a wide range, can complete the detection and analysis of the position and stability of a throat, the timbre of the sound, the audio penetrating power, the use of overtone, and the keeping situation of the pronunciation in singing, the mouth shape, the pitch, and the beat at one time, can generate a targeted training scheme, and improves the learning efficiency of students.

The invention discloses a vocal integrated training system The vocal integrated training system comprises a sound collection module, a throat position detection module, a respiratory frequency acquisition module, a characteristic signal acquisition module, a data processing module, a pitch beat extraction module, an overtone feature extraction module, a note pitch and note time value modeling module, a music score generation module, a singing skill primary evaluation module, a singing skill comprehensive evaluation module, an integrated training program output module, a mathematical modeling module, a virtual parameter action module, a virtual sensor, and a simulation analysis module. The training system realizes the automatic acquisition and evaluation of the data in the whole vocal training process, can complete training and detection analysis of the conditions of position and stability of the throat, tone quality of the sound, audio penetration, overtone utilization, holding of the pronunciation in the utterance, high and low bass standard, and breathing control in one step, and obtains a targeted training program, thereby realizing the individualized quality education in the real sense.

The invention discloses a singing skill detection system for vocal music teaching. The singing skill detection system comprises a sound acquisition module, a throat position detection module, a characteristic signal acquisition module, a data processing module, a sound processing module, a pitch extractor, a beat extractor, an overtone feature extraction module , a note pitch and note value model construction module, a singing skill primary evaluation module, a singing skill comprehensive evaluation module, an expert decision-making module, and a central processor. The singing skill detection system completes data acquisition and evaluation during an entire singing skill detection process based on a computer system, is high in automation level, and wide in coverage. The throat position and stability, tone quality, audio penetration, overtone utilization and pronunciation retaining in singing can be detected and analyzed in one time, thereby providing a targeted training scheme.

The invention provides an intelligent cloud automobile. A powerful cloud automobile operation system is adopted in the intelligent cloud automobile. A plurality of automobiles running separately are combined into a systemic network through the internet technology, the systemic network is a carrier of a cloud platform, and in the systemic network, the automobiles are used as terminals and nodes. The cloud operation system provides cloud shared service, the cloud operation system heavily depends on the service provided by a cloud network, and cloud control is likely to be difficult without the service. Therefore, the reliable cloud platform (network server platform) becomes crucial. Cloud platform technologies such as loud computing, could storage, cloud control and cloud service are adopted in the intelligent cloud automobile, and the intelligent cloud automobile is one kind of cloud equipment.

The invention belongs to the technical field of singing skill detection, and discloses a vocal music teaching singing skill detecting system. The vocal music teaching singing skill detection system includes a sound acquisition module, a throat detecting module, a feature signal collecting module, a respiratory frequency acquisition module, a sound processing module, a database, a comparison evaluation module, and an expert evaluation module. The invention completes the acquisition and evaluation of the data in the whole vocal music skill detection process on the basis of the computer system, and has high automation degree and wide coverage; the system can perform the anti-noise pitch feature extraction, the note pitch model set and the note time value model set parameter training through the sound processing module, has high recognition rate and calculation speed, and can improve the accuracy of acquired sound audios; the invention can meet the use requirements of different vocal musictrainings, compares the acquired audio data with a standard audio so as to allow a student to intuitively understand his training defects.

The invention discloses a vocal music practice assistor comprising a practice table, a display, a control panel, a main control machine, sound devices, and a metronome. The main control machine is electrically connected with the display, the control panel, the sound devices and the metronome. The main control machine is internally equipped with a wireless communication device. The display is disposed in the upper part of the front surface of the practice table. The control panel is disposed at the lower side of the display. The metronome is disposed to the side of the control panel. The two sound devices are respectively disposed on the two sidewalls of the practice table. The control panel is internally equipped with a switch group, an adjusting knob group, and a connecting end. The vocal music practice assistor further comprises a breathing rate sensor and a pickup, which are electrically connected with the main control machine. Through the breathing rate sensor and the pickup, the compatibility of the practicer's breath and voice frequency in vocal music practice can be analyzed effectively. Therefore, the ability of practicers to control breath, pitch, volume and rhythm is improved, and practicers are helped to complete vocal music practice more effectively.

The invention discloses a method for detecting the quality of Brassica campestris based on the near infrared spectrum, which comprises the steps of fitting collected near infrared spectrum data of a Brassica campestris sample and chemical values measured by a standard method, and optimally establishing a model by applying partial least squares (PLS); selecting an optimal spectrum pretreatment method, and measuring the quality of the model by comparing a determination coefficient (R2) and a root mean square error (RMSECV) so as to construct a high-quality quantitative analysis model of the nearinfrared spectrum of Brassica campestris. According to the method, the surface color, the mass loss rate, the hardness and the VC content of Brassica campestris can be rapidly and accurately predicted, the grade of Brassica campestris can be judged, thereby laying a foundation for rapid and nondestructive quality detection research of Brassica campestris, and having very high practicability and wide applicability.

The invention relates to a method for evaluating the operation of an electric energy meter, and the method comprises the following methods: 1) collecting the raw data of an on-site electric energy meter through a remote metering device on-line monitoring system, and uploading the raw data to a data server of an upper PC; 2) classifying the raw data through the upper PC, and building a mathematic model of operation evaluation of the electric energy meter; 3) evaluating the electric energy meter according to the built mathematic model of operation evaluation of the electric energy meter, obtaining the final health index HI of the electric energy meter, predicting the operation tendency of the electric energy meter according to the final health index HI, and carrying out early warning. Compared with the prior art, the method is scientific and reasonable, is large in specific number of research objects, covers a wide range, is systematic, and is intelligent.

The embodiment of the invention discloses a method and a device for screening a picture, and a terminal, relates to the technical field of image processing, and can provide rich picture screening options for users so as to meet more requirements of the user in a picture screening process. The method of the embodiment of the invention comprises the following steps: determining to display a screening option, wherein the screening option comprises at least one of a composition direction, a hue to which the picture belongs, a color system to which the picture belongs, a composition element and a picture logo; determining the operation of the user on the screening option, and determining a screening condition corresponding to the screening option, wherein the screening condition is used for expressing the characteristics of the picture which needs to be required by the user; and according to the screening condition, screening the picture which meets the screening condition in all pictures. The method and the device are suitable for a picture screening process.

The invention discloses a performance predicting method for a software system based on a UML (Unified Modeling Language) architecture. The performance predicting method comprises the following steps: firstly, establishing a UML model of the software system; adding a stereotype and a marking value on a UML diagram and enabling the stereotype and the marking value to be converted into the UML diagram with labels to generate a UMLSPT (Unified Modeling Language Subsystem Parameter Table) model; generating a queue network model algorithm and a queue network model by using the UML model; and finally, calculating to obtain a software performance parameter value according to a solving method of the queue network module performance parameter and realizing the prediction of software performances. According to the software performance predicting method provided by the invention, a user can solve the performance index of the software by establishing the UML model of the software system and adding the stereotype and the marking value and enabling the stereotype and the marking value to become the UMLSPT model. Therefore, the complexity of software performance prediction is greatly reduced and the development efficiency of the software is improved.

The invention discloses a website attention processing method and apparatus used for performing addition operation according to different operations of a user in a website to obtain the attention degree of the website and achieving the purposes of comprehensively and accurately calculating the attention degree of the user to the website and processing the website according to the attention degree. The method comprises the steps of: step A: acquiring an operation record of the user to the website, wherein the operation record is used for marking all operation behavior information of the user in the website; step B: according to the operation record of the user to the website, calculating the attention degree of the user to the website, corresponding to different factors in the operation record respectively; step C: calculating the attention degree of the website, obtained in the step B according to a preset rule to obtain a first attention index of the user to the website; and step D: judging whether the first attention index reaches a preset attention threshold value, and processing a website address according to a judgment result.

The invention relates to a method for evaluating the operation state of a gateway electrical energy metering device, and the method is characterized in that the method comprises the following steps: 1) collecting the raw data of an on-site gateway electrical energy metering device through a remote metering device on-line monitoring system, and uploading the raw data to a data server of an upper PC; 2) classifying the raw data through the upper PC, and building a mathematic model of operation evaluation of the gateway electrical energy metering device according to the classified raw data; 3) carrying out the grade evaluation of the operation state of the gateway electrical energy metering device according to the built mathematic model of operation evaluation of the gateway electrical energy metering device, building an operation evaluation system for the gateway electrical energy metering device, predicting the operation tendency of the gateway electrical energy metering device according to the operation evaluation system for the gateway electrical energy metering device, and carrying out early warning. Compared with the prior art, the method is scientific and reasonable, is large in specific number of research objects, covers a wide range, is systematized, and is intelligent.

The invention discloses an injection molding device and a process for the injection molding of a highlight injection molded part with metallic taste by utilizing the same, wherein a highlight plastic product with the metallic taste can be directly obtained once for all while the injection molding and the secondary processing treatment is not needed. The injection molding device provided by the invention comprises: an injection molding machine mold opening and locking system, an injection molding machine gun barrel internally provided with an injection molding machine screw, a multi-functionalmold temperature machine, a high-pressure gas controller, a terminal controller, a nitrogen generator and a material stoving barrel. The process for the injection molding of the highlight injection molded part with the metallic taste, provided by the invention, comprises the steps of: starting the injection molding machine mold opening and locking system and beginning to close a mold, heating an injection mold, starting the injection molding machine gun barrel to heat resin to ensure that the heated resin reaches to a molten state, inputting nitrogen into the injection molding machine gun barrel, injecting the resin in the molten state into the injection mold to reach the 80-95% of the total weight of a plastic molding product, stopping injecting the resin into the injection mold, coolingthe injection mold till being lower than the softening point the resin per se, opening the mold and taking out to obtain a plastic part with highlight and metallic taste.

The invention relates to a method for evaluating voltage transformer operation. The method comprises the following steps of: 1) using a remote metering device online monitoring system to acquire the original data of a field voltage transformer and upload the original data to a data server of a host PC; 2) using the host PC to classify the original data and establish a mathematic model of voltage transformer operation evaluation according to the classified original data; and 3) according to the established mathematic model of voltage transformer operation evaluation, evaluating the voltage transformer operation to obtain a final health index HI of the voltage transformer, predicting the operation trend of the voltage transformer according to the final health index HI and performing early warning. Compared with a method in the prior art, the method has advantages of a scientific and reasonable property, a large number of researched objects, a wide coverage, and good systemaltization and intellectualization.

The invention provides a plate-made box-shaped member deep drawing molding limit determination method, which comprises: 1, determining the relative thickness C<delta> of a box-shaped member billet material, wherein C<delta> is delta/D0; 2, determining the relative corner radius C of the box-shaped member; 3, determining the maximum height of the box-shaped member; 4, determining the maximum corner-to-height ratio Cmax<R> of the box-shaped member; determining the maximum relative height Cmax<H> of the box-shaped member; 6, determining the deep drawing coefficient m of the box-shaped member; 7, determining the type of the box-shaped member; and 8, according to the two different types such as the high box-shaped member and the low box-shaped member, respectively determining the molding limits. According to the present invention, with the determination method, the part molding defect is predicted in advance, the production cost is reduced, the development progress us accelerated, and the promotion is easily achieved.