163 results about "Effect assessment" patented technology

The invention provides a system for restoring organic contaminated soil through in-situ electrical heating. The system comprises an infrastructure technology, an electronic control system, a gas treatment system, a monitoring and data acquisition system and a repairing effect comprehensive assessment system. The infrastructure technology comprises heating well and extraction well construction, ground compaction and insulating layer construction technologies; heating wells are distributed on a contaminated site according to a triangle arrangement principle and a proximity principle, and the extraction well is arranged in the geometric center of the layout of the heating well; the gas treatment system is composed of a pre-cooling adsorption sledge, an extraction sledge and a treatment sledge, and is used for completing gas extraction and treatment and achieving the tail gas discharging requirement; and the repairing effect comprehensive assessment system evaluates the temperature risingeffect of the contaminated soil in the restoring process and the treatment effect of the contaminated soil. According to the system, the technological route is complete, the soil property applicability is wide, the heating temperature can reach 500 DEG C or above, and volatile and difficult-to-volatilize organic contaminant can be treated at the same time.

A system assesses consumer experience portrayal effectiveness by evaluating neuro-response measurements for a consumer directly experiencing stimulus and / or indirectly experiencing stimulus through observation of another. Neuro-response measurements are collected using multiple modalities to evaluate personal and observed experiences of products, services, offerings, and stimulus. Examples of neuro-response measurements include Electroencephalography (EEG), Galvanic Skin Response (GSR), Electrocardiograms (EKG), Electrooculography (EOG), eye tracking, and facial emotion encoding measurements. In many instances, neuro-response data is combined with other data and analyzed to assess total consumer experience portrayal effectiveness.

The invention relates to the technical field of teaching management systems, specifically a classroom teaching quality assessment method. The method comprises a step of data collection: collecting thevideo data and audio data in a classroom through a classroom data collection module; a step of video analysis: analyzing the video data through a video analysis module, and recognizing the identity,posture and motion of a person in the video; a step of audio analysis: recognizing the speech contents of a teacher through an audio analysis module; a step of classroom content assessment: carrying out the statistics of the knowledge points appearing in the speech contents of the teacher through a content assessment module according to the speech contents of the teacher, and generating a knowledge point coverage rate and a key knowledge point hit rate; and a step of classroom atmosphere assessment: carrying out the counting of the interaction times of the teacher and students and the interaction activeness rate of the students through a classroom effect assessment module according to the motions and postures of the students. The method provided by the invention can solve a problem that the subjectivity of an assessment result in the conventional classroom teaching quality assessment process is large.

The present invention relates to the technical field of teaching management systems, especially to a classroom teaching quality assessment system. The system comprises a data storage module, a classroom data collection module, a video analysis module, an audio analysis module, a classroom content assessment module, a classroom atmosphere assessment module, a classroom effect assessment module anda scoring module. The classroom data collection module is configured to collect video data and audio data in a classroom; the video analysis module is configured to identify identities, quantity, motions and attitudes of personnel in the video data; the video analysis module is configured to identify teacher's speech content and students' speech content in the audio data; and the classroom atmosphere assessment module is configured to perform statistics of the number of times of interaction between the teacher and the students and a student interaction positivity rate according to the students' motions and attitudes. The classroom teaching quality assessment system can solve the problem that a current classroom teaching quality assessment process is large in evaluation result subjectivity.

The invention discloses a comprehensive assessment method for the operation effect of a power grid side energy storage power station, and the method comprises the steps: constructing an energy storagepower station operation effect assessment index system, and determining a to-be-assessed scheme set; According to the actual operation data of each power station, calculating and extracting evaluation indexes of all schemes in the scheme set to be evaluated of each power station to form an initial decision matrix, and performing standardized processing to obtain a normalized decision matrix; Adopting an analytic hierarchy process to obtain a subjective weight vector of the evaluation index, adopting an entropy weight method to determine an objective weight vector of the evaluation index, andobtaining a comprehensive weight vector of the evaluation index through a game theory combination weighting method; And comprehensively evaluating the operation effect of each power station. The constructed index system has scientificity, applicability and operability, the selected indexes are high in applicability, and calculation is easy; The actual operation effect of the power grid side energystorage power station is comprehensively evaluated from many aspects, and a basis is provided for planning construction, scheduling operation control and the like of a subsequent energy storage project.

The invention discloses a method for evaluating an arterial green wave coordination effect based on a mobile terminal, and the method can output evaluation indexes on line in real time by adopting a green wave coordination effect evaluation algorithm and utilizing the intelligent mobile terminal. The method can obtain single-vehicle traveling data in real time through the intelligent terminal and realize real-time online evaluation of a green wave coordination effect of a single-vehicle test road segment in combination with a data processing algorithm and the green wave coordination control evaluation algorithm, and meanwhile, the evaluation method mainly has two evaluation modes which are drawing of a trajectory space-time diagram and output of the evaluation indexes respectively. Compared with existing common methods such as a manual research method, a single-vehicle test method, a floating vehicle method and the like, the method for evaluating the arterial green wave coordination effect based on the mobile terminal has the advantages of low manpower and material resource consumption, capability of giving out the effect evaluation indexes and optimization suggestions on line in real time, and the like, thereby having very high practicality and a wide application prospect.

The invention provides an investment effect evaluation method for county power distribution networks, which comprises the following evaluation steps: (1) establishing an index evaluation system and determining evaluation indexes; (2) determining an index evaluation function, and determining the threshold value of each index according to index data statistics; (3) acquiring fundamental data of a power distribution network correlated with evaluation indexes of an area to be evaluated, and verifying the integrity and validity of the fundamental data; (4) normalizing the evaluation indexes; (5) calculating the score of each evaluation index and the comprehensive score of each evaluated area through weighting; and (6) according to the evaluation results, sequencing the investment effects of selected evaluated areas in a descending order, analyzing main indexes influencing the sequencing of investment effects, and for lower-ranking evaluated areas, making an optimizing adjustment strategy. According to the invention, the acquired index data of each evaluated area is subjected to normalized processing by using an evaluation index function, and then the score of each evaluation index and the comprehensive score of each evaluated area are calculated according to a combination weight so as to find out the weak links existing in a power distribution network, thereby quantifying the investment efficiency of a county power distribution network, and providing reference and basis for distribution network planning and decision-making departments.

A failure-effect validation system includes an effects modeler configured to develop a cumulative effects model for failure modes of the complex system, and by which a model of the complex system is extendible to form an extended complex-system model. The effects modeler is also configured to develop search targets each of which includes logical expressions of notable hazards and other factors that contribute to the cumulative effects, such as crew workload, safety margin and / or physiological effects. A model analysis system is configured to perform an automated analysis using the extended complex-system model and search targets, and in which the automated analysis includes a graph search of possible states of the extended complex-system model to locate search targets. And the effects assessment system is configured to selectively generate a layout of failure analysis data including at least a portion of the extended complex-system model and results of the automated analysis.

The invention discloses a new media value and effect evaluation method and system, which relates to the field of media assessment technologies. The method comprises the steps that registering or logging in an account is carried out; the access information of a number of WeChats or microblogs is acquired; the access information is analyzed, and the value and effect of each WeChat or microblog are evaluated according to analysis results; evaluation results are sorted; monitored WeChats or microblogs are added, and grouping is carried out for management; the access information of monitored WeChats or microblogs is acquired; the access information is analyzed, and the value and effect of the WeChats or microblogs are evaluated according to analysis results; cooperating WeChats or microblogs are selected; and advertising is carried out on selected cooperating WeChats or microblogs; and the effect of advertising is analyzed and monitored through views. According to the invention, the value and effect of a new media can be quickly, effectively and automatically evaluated, which is convenient for a user to select new mediums in advertising cooperation.

The invention relates to a system for evaluating the showing effect of a theatrical film and intelligently counting the number of film watching people. The system comprises a theatrical monitoring information processing module, a theatrical environment learning module, a showing detection module, infrared heat source scanning equipment, voice pickup equipment, and a data reception and analysis system, wherein the theatrical monitoring information processing module comprises an information processor, a storage and an interface circuit; the information processor is connected with the storage to acquire data information in the storage; the infrared heat source scanning equipment and the voice pickup equipment are connected with the information processor through the interface circuit; the theatrical environment learning module is used for storing a theatrical environment in the storage through the interface circuit; the heat source chromatographic image data and the field voice information after being processed by the information processor are transmitted to the data reception and analysis system through a wireless network to finish evaluation for the showing effect of the theatrical film and intelligent counting for the number of the film watching people. The showing time and session of the film, the number of audiences, film watching reflection information and the like are all capable of being transmitted to a monitoring centre through a network.

The invention discloses a learning effect evaluation system based on data analysis, which comprises the following modules: a server end is used for storing a database, sending test questions, receiving feedback information and analyzing feedback information; a teacher end used for the teacher to maintain the database and receive feedback information; and a student side used for online problem solving and receiving feedback information. The server end stores a teacher database, a student database, a test question database, a plurality of test paper databases, a plurality of answer question databases, and a school management database. The invention also provides a learning effect evaluation method based on data analysis, which comprises the steps of system initialization, question drawing, question answering, paper judging, learning state analysis, teaching effect analysis, student review and the like. The invention can evaluate the learning effect by the informationization means, can analyze the learning situation in stages, and has the analysis and evaluation function for the mastering situation of a single knowledge point at the same time.

The invention provides an improved artificial bee colony algorithm-based task scheduling method and belongs to the field of cooperative jamming. The method comprises the steps of firstly, giving a task scheduling assessment index set and jamming effect assessment index quantitative calculation method by integrating analysis jamming effects of a UCAV (Unmanned Combat Air Vehicle) on target radars, and performing normalization processing; secondly, determining task scheduling constraint conditions of cooperative jamming, and building a cooperative electronic jamming task scheduling model (CEJ-TSM); thirdly, solving the CEJ-TSM by adopting an improved global artificial bee colony (IGABC) algorithm; and finally, obtaining a cooperative electronic jamming task scheduling scheme according to a result of the IGABC algorithm. According to the method, the search capability of an optimal solution can be remarkably improved for the problem in task scheduling for cooperative jamming of the UCAV for the multiple enemy radars, and the efficiency and accuracy of generating the task scheduling scheme are improved.

The invention discloses a robot soccer dynamic decision-making device and method based on an ant colony algorithm, and belongs to the technical field of artificial intelligence. The robot soccer dynamic decision-making device comprises an information monitoring and extracting module, a situation assessment module, a motion decision-making module and an effect assessment and feedback module. The robot soccer dynamic decision-making method is based on the device and comprises the steps that the information of an opposite side, the own side and a soccer on a ball park are acquired through the information monitoring and extracting module; the situation assessment module is used for accessing the situation of the ball park; the motion decision-making module is used for selecting the next motion scheme to be executed; the effect assessment and feedback module is used for comparing an expected result with an actual execution result, and the priority of the motion scheme is updated. According to the device and method, the defect that a current robot is poor in dynamic adaptability in a soccer game is overcome, the decision-making success rate is high, the tactic strategy of the own side can be modified dynamically, and tactic effectiveness and the whole offensive and defensive ability of a team are improved.

The invention relates to a classroom timely feedback device, which comprises a receiver, a teacher class guiding hand board and student hand boards. The invention further discloses a classroom timely feedback system, which comprises a teaching design problem assigning module, a teaching assessment module and a reporting module. The classroom timely feedback device and the classroom timely feedback system have the advantages that: the classroom timely feedback system utilizes the student hand boards to send out signals, the signals are received and processed by a 2.4G wireless receiving module in protocol communication with computer software, the signals are further processed through the software, thus subjective selection of students by the teacher is avoided through a vies to answer first manner, each student can have the opportunity to participate in teaching and learning activities through technical support; and through key operation of the student hand boards, the results of each students in each learning effect evaluation link designed by the teacher are fed back timely, the teacher and students can learn about their learning effect timely and accurately through multiple ways such as excel forms, bar chart and pie charts, thereby providing reference for adjusting teaching activities, and providing effective technical support for improve the effectiveness of classroom teaching.

The invention provides a cross-domain BGP routing policy deployment method. Through simulating the inter-domain interconnection relationship and the routing policy of a real internet, a network operator is provided with a platform for routing measurement and policy simulation; through acquiring the inter-domain interconnection performance parameters of the real internet, the network operator is provided with reference data for policy evaluation and routing optimization; through simulating the inter-domain flow guide of the real internet, the network operator is provided with a platform for inter-domain adjustment and control effect evaluation; and through the multilevel simulation of the inter-domain interconnection of the real internet, the network operator can conduct simulation and evaluation on a BGP-Grid platform system structure before the practical deployment of a policy adjustment and control scheme. Thereby, the adverse impact on a global internet caused by subjective or objective errors or omissions to some extent is avoided and the stability and the effectiveness of the overall operation of the global internet are improved.

The invention discloses a bionics-based underwater jet surface drag reduction test device, which comprises a jet part, a power input assembly, a water distribution assembly, a moving assembly, a magnetic fluid sealing assembly and a signal processing assembly, wherein the motor of the power input assembly is connected with the input shaft of the jet part via a first coupler; the output shaft of the jet part is connected with a torque signal coupler of the signal processing assembly via a second coupler; the signal processing assembly and the jet part are arranged on the moving assembly; the water inlet pipe of the water distribution assembly is connected with a water inlet pipeline of the jet part; the water outlet pipe of the water distribution assembly is communicated with the water outlet pipeline of the jet part; and the jet part is sealed via an axial sealing assembly. The bionics-based underwater jet surface drag reduction test device has the beneficial effects that the jet surface drag reduction effect test and the non-smooth surface structure drag reduction effect test can be realized, and when the jet surface structure drag reduction effect evaluation is carried out, and a test sample can be processed into a jet hole structure with a different aperture shape, a different aperture size, a different arrangement form and a different inclination angle.

The invention provides an LDDoS simulation method based on light-weight virtualization. The LDDoS simulation method based on light-weight virtualization relates to the field of the network simulationand the network security. The target network topology automatic deployment and the protocol configuration can be quickly and flexibly performed by using the method, and the method can be used for attack-defense strategy research and effect evaluation of the large-scale LDDoS. The method comprises the following steps: manufacturing a light-weight virtualization routing mirror image; manufacturing an LDDoS attack mirror image; constructing a network topology based on the light-weight virtualization; setting attack parameters and performing coordinated attack; collecting and evaluating link datain real time; and visually displaying the attack effect data. Through the simulation provided by the invention, the large-scale and high-vivid simulation environment can be provided by using less resource; the method can be used for the LDDoS attack-defense strategy research, and can be further used for the evaluation of other network security events.

The invention provides a virtual ocean battlefield 3D visualization effect assessment method, and belongs to the technical field of virtual reality. Firstly, the hierarchical relation of indexes is assessed through the analytic hierarchy process according to the virtual ocean battlefield 3D visualization effect, and the subjective weight reflecting an expert knowledge base is obtained through qualitative and quantitative analysis; the objective weight is determined through the difference drive principle according to the variation degree of the indexes in index sets and the degree of influence on other indexes. The two methods are combined so that the insufficient data volume caused by objective empowerment can be avoided and randomness of subjective empowerment can also be overcome, and the evaluation result is more objective and reasonable. Besides, game theory weight sets become consistent and transigent between the subjective weight and the objective weight, the sum of deviations between the mixed weight and each weight is the smallest, and therefore weight optimization is achieved. Finally, aggregation of the indexes and the weights is achieved by means of double-base-point multi-attribute decision making, closing to an ideal solution and keeping away from a negative ideal solution are used as criterions for evaluating various feasible programs, and a virtual ocean battlefield simulation system is built at last.

The invention relates to a before-release advertising effect evaluation method based on electroencephalogram indexes. The method includes the steps of original electroencephalogram collection, electroencephalogram preprocessing, index computing and advertising effect evaluation, wherein the index computing comprises instant index computing and whole index computing. By means of the before-release advertising effect evaluation method based on the electroencephalogram indexes, release effects can be evaluated before video advertisements are released, design quality of the video advertisements can be evaluated to be used as reference of video clipping, evaluation results are obtained by obtaining human body biological signals directly, and therefore interference of subjective factors in a traditional method is avoided.

The invention relates to remote-sensing image effect evaluation, in particular to a method for evaluating a remote-sensing image fusion effect. The method for evaluating the remote-sensing image fusion effect solves the problems that the man-made interference factor of a main visual effect of an existing method for evaluating the remote-sensing image fusion effect is large, errors can occur easily, a uniform standard does not exist in index selection in an objective mathematical statistic analysis, and image quality is hard to evaluate comprehensively. The method includes the steps that first, an original image to be fused is preprocessed; second, fusion processing is conducted on a preprocessed multispectral image and a panchromatic image; third, object-oriented segmentation is conducted on the images before and after fusion; fourth, a classification rule is used for classifying the segmented remote-sensing image; fifth, the classification result is precisely evaluated from the three aspects of production precision, user precision and a Kappa coefficient, and contrastive analysis is carried out on the classification accuracy of the images before and after fusion so that the fusion effect can be evaluated. The method for evaluating the remote-sensing image fusion effect can be applied to the technical field of remote-sensing image processing.

The invention relates to a plastic surgery institution operation system based on artificial intelligence and applet. The plastic surgery institution operation system based on artificial intelligence and applet includes a mobile intelligent terminal, a digital image processing system, a cloud server, an artificial intelligence recommendation system, a payment system, and a performance evaluation system. A user uses a graphic editing system of the applet to simulate plastic surgery effects on line. The artificial intelligence system recognizes and captures the parts simulating plastic surgery and aesthetic preferences to form a plastic surgery scheme to guide the user to accept plastic surgery, thus facilitating transaction. The plastic surgery institution operation system based on artificial intelligence and applet can be also used for a consultation tool for an off-line plastic surgery institution to improve the communication efficiency.

The invention provides an intersection signal parameter optimization and effect evaluation method based on traffic video data, and based on the digitized data recorded by the electronic police system,the theoretical distribution of travel time of the vehicle on the road segment is obtained, and the goal is to achieve the system traffic efficiency and to optimize both the signal period duration and the green signal ratio. The intersection signal parameter optimization and effect evaluation method based on traffic video data can scientifically and reasonably utilize the digital information of the electronic police video system and the like to optimize the signal parameters of the intersection so as to improve the comprehensive traffic capacity at the intersection of the road and achieve thepurposes of traffic safety, smooth and green environmental protection in the range of a single intersection and an intersection group.

The invention discloses a learning content recommendation method based on a smart mobile phone. The method is as follows: an autonomous learning terminal is connected to a master server through the internet, a learning management system is installed in the master server, and an autonomous learning client software system is installed in the autonomous learning terminal; under the condition of networking, the autonomous learning terminal exchanges data with the master server, and the master server analyzes and summarizes the data to give a learning effect assessment; according to the learning situation of a student, the master server recommends the learning content; under the condition without network, the autonomous learning client software system of the autonomous learning terminal can independently operate and temporarily stores the learning situation of the student to be updated to the master server during next networking. Through the mode, the method can provide an extracurricular autonomous learning platform for college students, utilizes the learning management system of a server terminal to trace and summarize the learning records of the student to evaluate the learning effect of the student, and recommends the learning content for the student accordingly. The learning efficiency of the student is increased.

The invention discloses a method for calculating the damage effect of the target of a conventional facility, belonging to the field of the technology for assessing and calculating the damage effect of the target of the conventional facility. The method for calculating the damage effect of the target of a conventional facility comprises the following steps: dividing the target into various types of sub-targets on various layers according to the combat task and the characteristic of the target; constructing the judgment matrix of a hierarchical structure model from top to bottom with the improved analytic hierarchy process; calculating the weight of the same type of sub-targets on the same layer relative to the sub-targets on the upper layer; calculating the damage effect of the sub-targets on the bottommost layer by a Bayesian network decision-making model; and calculating the whole damage effect of the target with the comprehensive assessment method. The method can be used for rapidly and reliably calculating the damage effect of the complex target and the target in the real wartime though less or no more accurate damage information is available.

The invention provides a single-shaft high-precision servo control system adjustment and control device which comprises a servo control component, a servo angle encoder, a servo torque sensor, a transmission mechanism / torsion bar, an inertia disc, a loading torque sensor, a monitoring angle encoder, a disturbance simulation moment motor and an installation bracket. The installation bracket provides various types of installation machinery interfaces for a whole testing device and comprises the mounting surfaces of the servo control component, the servo torque sensor, the loading torque sensor and the disturbance simulation moment motor and the relative positions of other components. At the same time, a high precision movement guide rail is arranged on the installation bracket, and various types of driving chain combinations can be realized. Through the single-shaft high-precision servo control system adjustment and control device, the adaptability adjustment of the transmission gap, the transmission rigidity, the load eccentricity, the disturbance resistance moment and the like of a servo mechanism can be conveniently realized, and thus the control scheme design and effect assessment of a servo control system are carried out.

The invention provides a multi-level index weighting method for evaluating the effect of passivation restoration of polluted soil. The method of the present invention includes index establishment, graded assignment, weight distribution, and comprehensive evaluation, and specifically, according to the occurrence characteristics and interaction laws of heavy metals in the soil-crop-passivator system, quantitative technical, economic, ecological and Social factors establish an index system for evaluating the effectiveness of in situ passivation remediation of heavy metal contaminated farmland (4 first-level indicators and 19 second-level indicators); through risk and effect comparison, the evaluation indicators are graded and weighted to obtain a soil-crop-passivation The comprehensive scores of different combinations of soil-crop-passivation agents were compared to obtain the in-situ passivation remediation effect of heavy metal-contaminated farmland as the evaluation result. The method can be used for risk and effect prediction of heavy metal-contaminated farmland soil passivation remediation and similar technical systems, and formulation of prevention and control countermeasures.

The invention discloses an urban stagger traffic effect analysis method based on RFID data. The method comprises the following steps: acquiring original vehicle running track data from original RFID data; performing OD matrix slicing based on the vehicle running track data; extracting and moveably carrying out a target OD traffic volume of a stagger traffic measure based on an actual stagger policy to generate an initial stagger OD matrix group; iteratively calculating the initial stagger OD matrix group to obtain a predicted stagger OD matrix group; and obtaining a final OD matrix group basedon the iterative result to achieve an effect assessment of the stagger policy. The method provided by the invention can simulate the OD change of the city in the morning and evening peak periods before and after the stagger policy is implemented in the city, so as to obtain the influence of the stagger policy on the urban traffic operation state, thereby providing data support for the formulationand evaluation of the urban traffic policy, and at the same time, providing a strong guarantee for the simulation, planning and evaluation of the transportation system.

The invention provides a multi-target orderly power utility ordering method based on power utility characteristics, accurately calculates user division load characteristic data, assesses power rationing effects of different orderly power utility schemes, and optimizes the orderly power utility scheme. In an off-peak scheme, users are sequentially ordered according to values of off-peak indexes. The larger the index is, the off-peak effect is better. A user with a large off-peak index is given priority to off-peak power rationing. In a rest-shifting scheme, ordering is based on values of peak-shifting indexes. A user with a large peak-shifting index is given priority to rest-shifting power rationing. In a time-staggering scheme, ordering is based on values of time-staggering indexes. A user with a large time-staggering index is given priority to time-staggering power rationing. The multi-target orderly power utility ordering method is advantaged in that three indexes are adopted to respectively indicate power rationing effects of users at different peak-shifting and off-peak measures, an orderly power utility effect assessment system is established by considering many factors such as clients, social economy and electric quantity, differences of users in the orderly power utility effect are quantified, and a decision basis is provided for the establishment of the orderly power utility scheme.

The invention discloses a reinforcement learning-based sorting learning method. The method comprises the steps that a server obtains a historical query word and obtains M documents corresponding to the historical query word; the server performs sorting on the M documents to obtain a target document sorting list; the server obtains a sorting effect assessment value of the target document sorting list; the server takes the historical query word, the M documents, the target document sorting list and the sorting effect assessment value as a training sample, and puts the training sample into a training sample set; and when a quantity of training samples in the training sample set is greater than a preset quantity, the server performs training on the training sample set to obtain a sorting model. By adopting the technical scheme provided by the method, a sorting index can be accurately optimized, so that the satisfaction of a user to a sorting result of the document sorting list corresponding to the query word is improved.