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32results about How to "Easy to classify and identify" patented technology
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Low-rank partitioning sparse representation human face identifying method
ActiveCN103632138ARemove camouflageRemove coverCharacter and pattern recognitionPhases of clinical researchLow rank matrix decomposition
The invention discloses a low-rank partitioning sparse representation human face identifying method, which adopts low-rank matrix decomposition, introduces a reference item, adopts a DCT (discrete cosine transform) algorithm to realize the normalization of images and effectively solves the problem of uneven lighting in a human face image. At a classifying stage, a clustering thought is used, and the identifying speed is effectively improved. The algorithm is used on a standard human face database to perform multiple times of tests, and the test result shows that compared with the existing human face identifying method, the low-rank partitioning sparse representation human dace identifying method has the advantage that the identifying accuracy and computing efficiency of the algorithm are all consistently improved. The precision and stability on human face identifying are improved under the complex conditions, such as shielding, disguising and illumination varying, of the human face image.
Owner:NANJING UNIV OF INFORMATION SCI & TECH
Twitter identification method based on self-adaption energy detection under complex environment
InactiveCN103489446AImprove efficiencyEasy to identifySpeech analysisPattern recognitionNoise power spectrum
The invention relates to a twitter identification method based on self-adaption energy detection under a complex environment. The method is characterized by comprising the following steps of firstly, dividing twitter into three frequency bands according to the frequency distribution condition of the twitter; secondly, detecting twitter acoustical signals containing noise through a self-adaption energy detection method based on noise power spectrum estimation and the foreground sound existence probability, and screening out the useful twitter signals; thirdly, extracting Mel-scale WPSCC features from the useful twitter signals according to distribution of the Mel scales; fourthly, conducting modeling, classification and identification on the extracted Mel-scale WPSCC features and extracted Mel-scale MFCC features through an SVM classifier. The WPSCC features extracted through the method have a better anti-noise function and are better in identification performance after undergoing self-adaption energy detection, the method is more suitable for twitter identification under the complex environment and has a good classification and identification effect on the twitter sound containing noise under the complex environment.
Owner:FUZHOU UNIV
Train rolling bearing fault and impurity vibration distinguishing method
ActiveCN106441893AEasy to classify and identifyImprove signal-to-noise ratioMachine bearings testingFrequency spectrumDecomposition
The invention discloses a train rolling bearing fault and impurity vibration distinguishing method. The method includes: utilizing spectral kurtosis to perform filtering processing on an original bearing vibration signal, and adopting an empirical mode decomposition technique to perform step-by-step decomposition on the preprocessed vibration signal to obtain intrinsic mode functions; subjecting the intrinsic mode functions to frequency spectrum and statistic characteristic analysis, extracting a feature vector composed of frequency spectrum center-of-gravity and characteristic frequency energy ratio as input, establishing a support vector machine based classifier model by training, and distinguishing whether a rolling bearing with abnormal noise is faulted or contains impurities in real time. The method is used for distinguishing the fault or impurity-containing state of the train rolling bearing based on vibration signal analysis, the method effectively improves accuracy in bearing fault identification, the problem of overhigh false alarm rate in the bearing vibration diagnosis method caused by impurities is solved, and good technical support is provided for engineering application of the vibration diagnosis method.
Owner:BEIJING UNIV OF POSTS & TELECOMM
Method and device for obtaining micro-motion characteristics
ActiveCN108919216AGuaranteed accuracyImprove classification recognition rateWave based measurement systemsSupport vector machine svm classifierRadar
The invention relates to the technical field of data processing, and provides a method and device for obtaining micro-motion characteristics. The method for obtaining the micro-motion characteristicscomprises the steps that radar echo signals of a warhead target are acquired; the time-frequency analysis of the radar echo signals is carried out to obtain a signal energy distribution function; according to the signal energy distribution function and the radar echo signals, at least one micro-motion characteristic of the warhead target is extracted; and a SVM classifier is used for filtering theextracted micro-motion characteristics, and an optimal feature subset including at least one of the micro-motion characteristics is obtained. The device for obtaining the micro-motion characteristicsincludes an acquisition unit, a time-frequency analysis unit, a characteristic extraction unit and a characteristic filtering unit. According to the method and device for obtaining the micro-motion characteristics, the micro-motion characteristics can be obtained from the radar echo signals.
Owner:BEIJING INST OF ENVIRONMENTAL FEATURES
Magnetic shoe surface defect detection system and method
ActiveCN110599470ARealize accurate judgmentRealize automated detectionImage enhancementImage analysisComputerized systemEngineering
The invention relates to a magnetic shoe surface defect detection system and method, and relates to the field of magnetic shoe surface defect detection. The system comprises an image acquisition device and a computer system. The image acquisition device is used for acquiring magnetic shoe surface images. The computer system performs suspicious area judgment on the magnetic shoe surface image and divides the suspicious area to acquire a suspicious area image. The computer system extracts geometric features, gray features and texture features of the suspicious area image. The computer system inputs the geometric features, the gray features and the texture features into a classifier which is trained in advance. The detection result of the magnetic shoe surface defects is obtained, high-precision classification and identification of the magnetic shoe defects are realized through a classification and identification algorithm, automatic detection of the magnetic shoe defects is realized, thelabor cost is reduced, and the efficiency and the identification accuracy are improved.
Owner:WUHAN UNIV OF SCI & TECH
Tobacco processing logistic turnover box
InactiveCN101857100AEasy classification and identificationEasy to transportContainer decorationsLevel indicationsTruckCondensed water
The invention discloses a tobacco processing logistic turnover box, which comprises a base (4), a box body (1) and a box cover (6). The invention is characterized in that the box body (1) and the box cover (6) are matched in a buckle connection type, the bottom of the box body (1) is fixedly connected on a base (4) provided with a forking groove, and an identifiable card (5) is arranged at the side surface of the base (4) or the box body (1). The invention adopts a standardized logistic turnover box, is convenient for the classified identification of materials in each process flow of the tobacco processing, is also convenient for the turnover of a fork truck or a piling machine, greatly improves the work efficiency, and reduces the production cost. Reinforcing ribs are arranged on the box body, the integral structural intensity of the box body is improved, and a force exertion point is also provided for automatic box turning equipment, so the adaptability of the turnover box to the process flow is enhanced. The tobacco processing logistic turnover box can be made of wood materials, and the occurrence of the phenomenon that the stainless steel turnover box cover in the prior art easily generates condensed water beads or generates static electricity is avoided. The invention has the advantages of simple and convenient manufacture and flexible dispatching, the base with easy consumption in the use process can be conveniently replaced, and the invention is suitable for the large-scale tobacco processing process.
Owner:HONGYUN HONGHE TOBACCO (GRP) CO LTD
Filtering and intercepting method for junk mail
ActiveCN104243501ARealize preliminary classification recognitionReduce classification recognition timeData switching networksFeature dataData mining
The invention relates to a filtering and intercepting method for junk mail. The method filters and recognizes the mail for multiple layers: obtaining the classification attribute of mail for the user according to the expression and / or phonetic feature data of the user for receiving and sending the mail; for the mail, which cannot be confirmed on category, orderly inquiring the black / white list of the user node local and friend node, the friend node is the network node having higher mail interaction frequency with the current user node; reminding the user for judging the category of the mail. By filtering and recognizing the mail for multiple layers, the problem of the prior art for recognizing the junk mail with larger cost and low efficiency can be solved.
Owner:四川神虎科技有限公司
A black smoke vehicle detection method based on single frame image
ActiveCN109271905AComprehensive descriptionAdded difference magnitude informationCharacter and pattern recognitionColor imageFeature vector
The invention provides a black smoke vehicle detection method based on a single frame image. The black smoke vehicle detection method comprises the following steps: a single frame color image is converted into a gray scale image and is evenly divided into a plurality of small squares, for each small block region, discriminant complete local binary pattern features or discriminant non-redundant local binary pattern features are extracted, for each small block area, the gradient position direction histogram feature is extracted, for each small square area, the local partial shape feature is extracted, different types of features are normalized to be connected in series to form the final feature vector, the proposed feature vectors are classified by SVM classifier, the smoke squares are identified, and whether there are smoke vehicles in the current frame is judged. Various features are introduced into the invention, so that the information expression is sufficient and discriminative, which is more conducive to classification and identification, and has stronger robustness and discrimination. The recognition rate is further improved and the false alarm rate is reduced.
Owner:SOUTHEAST UNIV
Intelligent garbage classification and identification system
InactiveCN107098086AEasy to classify and identifyAvoid pollutionRefuse receptaclesEngineeringRadio frequency
The invention discloses an intelligent garbage classification and identification system and relates to the technical field of garbage treatment. The intelligent garbage classification and identification system comprises a shell, wherein a loudspeaker and a radio frequency card reading module are fixedly connected to the top of the shell in sequence from left to right; the top of an inner cavity of the shell is movably connected with a telescopic rod through a rotating shaft; the right side of the shell is movably connected with a device cover through a rotating shaft; the left side of the device cover is movably connected with the right end of the telescopic rod through a rotating shaft; the left side of the shell is fixedly connected with a control box; the bottom of the shell is fixedly connected with a radio frequency identification module; and the control box comprises a control shell. By improvement on the control box and cooperative use of the loudspeaker, the radio frequency card reading module, the telescopic rod and the radio frequency identification module, the intelligent garbage classification and identification system can well classify and identify garbage, so that environmental pollution and resource waste due to a wrong placement position of the garbage are avoided.
Owner:杭州利安环境工程有限公司
Multi-label image identification method and system based on DCGAN and GCN
ActiveCN113378965AImprove robustnessEasy to classify and identifyCharacter and pattern recognitionNeural architecturesFeature extractionAlgorithm
The invention provides a multi-label identification algorithm based on DCGAN and GCN, and the algorithm comprises the steps: building a DCGAN model based on a GAN model, and generating a similar image based on the DCGAN model; extracting features based on a migrated CNN algorithm, migrating parameters of a neural network of the DCGAN model to the CNN algorithm to perform feature extraction on the multi-label image, and generating a category label classifier through a relation graph between training labels by using a GCN algorithm; generating a data pre-training model through a deep convolutional generative adversarial network, and migrating parameters of a convolutional neural network of the pre-training model to a target task to finely adjust the network so as to obtain a more accurate image identification effect. Meanwhile, when the image is generated, random noise is increased, so that the robustness of the pre-training model can be improved.
Owner:QILU UNIV OF TECH
Method and system for performing plant lesion classification based on computer vision
InactiveCN108596262AQuick classificationSolve problems that require on-site sampling inspectionsImage enhancementImage analysisDiseaseFeature extraction
The application discloses a method and a system for performing plant lesion classification based on computer vision. The method comprises the steps of: selecting a sampling block from a field, and collecting images of the plant leaves from top to bottom; sorting each pixel value in the neighborhood filtering window according to an order of increasing and descending, and obtaining the pixel value of the pixel in the middle position of the arrangement as the pixel value of the neighborhood filtering window to process the images of the plant leaves; segmenting the processed images of the plant leaves to highlight the image area of the lesion through color space conversion; extracting the pixel features of the lesion image area obtained by image segmentation by pixel features in the images toobtain the pixel features of the lesion images of the plant leaves; and classifying the pixel features of the lesion images by the support vector machine classifier to obtain and save the classified pixel features of different lesions and a contrast model of the disease to which it belongs. The invention effectively improves the recognition and classification efficiency of the lesion, and reducesthe cost.
Owner:北京麦飞科技有限公司
Radar radiation source identification system based on signal scale decomposition
InactiveCN110988802AEasy to classify and identifyPrevent frequency confusionWave based measurement systemsMultiscale decompositionAlgorithm
The invention discloses a radar radiation source identification system based on signal scale decomposition. The system is composed of a radar signal database, a radar receiver, a signal decompositionmodule, a classifier and an identification result display instrument. The radar signal database stores historical collected radar signals of known types, and the radar receiver receives latest radar signals of unknown types. All radar signals are subjected to data multi-scale decomposition processing through a signal decomposition module, then the type of a radar radiation source is identified bya classifier according to the processed data, and finally an identification result display instrument displays a result. According to the method, the intra-pulse features of the radar radiation sourceare extracted through multi-scale decomposition and the lightweight gradient boosting tree, and classification and recognition can be better carried out compared with conventional features. When theradiation source signal is subjected to deep multi-scale analysis, the signal is subjected to multi-frequency decomposition, and in order to prevent frequency confusion, the original signal is subjected to processing of adding white noise and averaging, so that the identification accuracy is further improved.
Owner:ZHEJIANG UNIV
Cell with intelligent management inner nucleus
InactiveCN100401564CIncrease effective capacityReduce performancePrimary cellsSecondary cellsElectricityElectrical conductor
This invention provides a battery with an intelligent managed core applying an intelligent management control board mounted in the internal part of the battery with an automatic regulation discharge curve and identity identifying software, the board is connected with the battery positive via the filter induction coil, the other side of the control board is connected with the core by a metal conductor with constant effective discharge voltage, large effective capacity and strong identification ability.
Owner:王科锋
A smoky car detection method based on a single frame image
ActiveCN109271905BComprehensive descriptionAdded difference magnitude informationCharacter and pattern recognitionColor imageFeature vector
The invention provides a method for detecting smoky vehicles based on a single-frame image, which includes: converting a single-frame color image into a grayscale image, and dividing it into several small squares on average; Binary pattern features or discriminative non-redundant local binary pattern features; for each small square region, extract gradient position direction histogram features; for each small square region, extract local fractal features; normalize different types of Features, and concatenated to form the final feature vector, use the SVM classifier to classify the proposed feature vector, identify the small square with smoke, and make a judgment on whether there is a black smoke car in the current frame. The present invention introduces various features, so that the information expression is both sufficient and discriminative, more conducive to classification and recognition, and has stronger robustness and discriminative properties. The recognition rate is further improved and the false alarm rate is reduced.
Owner:SOUTHEAST UNIV
SAR Object Classification Method Based on CNN and SVM Decision Fusion
ActiveCN109063750BEasy extractionReduce distractionsCharacter and pattern recognitionNeural architecturesClassification methodsTest set
The invention discloses a method for classifying SAR targets based on decision fusion of CNN and SVM. The idea is: determine a SAR image, the SAR image includes λ-type targets, and divide the λ-type targets to obtain a training set and a test set; Then standardize and subset the test set to obtain the first test subset testx1, the second test subset testx2 and the third test subset testx3; then obtain the standardized feature matrix traindata of trainx, the standardized feature matrix testdata1 of testx1, testx2 After the standardized feature matrix testdata2 and testx3 of the standardized feature matrix testdata3, the parameter matrix W and the offset vector bb are respectively obtained; the first column vector C1, the second column vector C2 and the third column vector C3 are determined; and the final predicted category column vector is obtained ; calculate v 2 class is recognized as v 1 The class probabilities are postscripted as the result of SAR object classification based on CNN and SVM decision fusion.
Owner:XIDIAN UNIV +1
Fly face recognition method based on deep convolutional neural network
ActiveCN111723709AReduce lossesReduce lossInternal combustion piston enginesCharacter and pattern recognitionFeature vectorData set
The invention provides a fly face recognition method based on a deep convolutional neural network. The method comprises the steps of optimizing a multi-task convolutional neural network MTCNN to perform face positioning and feature point detection on a fly image; obtaininig a fly face feature point image through positioning and detection, and carrying out fly face alignment; making the aligned flyface images into a data set; building a fly face deep convolutional neural network model; connecting two groups of feature vectors extracted from the thickness in the fly face deep convolutional neural network in series to form a group of feature vectors; and testing the fly face deep convolutional neural network model through the test set, and verifying the fly recognition effect. According to the method, a fly face deep convolutional neural network is adopted, contour features of an image are roughly extracted by using a large number of convolution pooling, and then specific part features such as small eyes in fly compound eyes are extracted by using Inception-ResNet and Reduction networks. According to the network, the learning target and difficulty can be simplified, and richer feature vectors can be extracted while gradient loss is prevented.
Owner:DALIAN MARITIME UNIVERSITY
Unbalanced data set preprocessing method based on neighborhood information
PendingCN112835955AEnhance expressive abilityEasy to classify and identifyDigital data information retrievalCharacter and pattern recognitionData setHypersphere
The invention provides an unbalanced data set preprocessing method based on neighborhood information. The method comprises the following steps of S1, randomly selecting a minority class sample in a target unbalanced data set; S2, constructing a neighborhood of a spatial hypersphere shape with the selected minority class sample as the center; S3, judging whether all constructed neighborhoods contain all minority class samples or not, if yes, executing the step S4, and if not, returning to execute the step S1; S4, determining weights of all neighborhoods according to the number of minority class samples contained in the neighborhoods; S5, determining the number of new samples needing to be synthesized in each neighborhood; and S6, synthesizing a new sample for each neighborhood, according to the preprocessing method, the synthesized new sample region is constrained through detection in geometric space, different sampling multiplying powers are provided for the samples with different subsequent classification contribution degrees through a weighted synthesis strategy, identification and classification of a traditional algorithm are more convenient, and the precision is higher.
Owner:ANHUI NORMAL UNIV
Doctor-patient information display method and system, storage medium, computer program and terminal
PendingCN111540479ASmooth connectionFocus on managementMedical communicationProtocol authorisationSocial platformBusiness card
The invention belongs to the technical field of information processing, and discloses a doctor-patient information display method and system, a storage medium, a computer program and a terminal. The method relates to user identification, user authorization, and information acquisition, release, display, browsing and query. The method comprises the following steps: a part of users are authorized toreceive electronic flags and business card information of other users according to user roles, and demand information encrypted by a system database is queried; a doctor-patient information display social platform identifies the user as a common user, a real-name user, a doctor user and an institution user after passing the system authentication, enhances platform information interaction of the users with the four identities, achieves user authority management, and encoding four types of information including demand information, doctor display information, institution display information andinstitution acquisition information according to user identification identities. Compared with other social platforms, the information is more real and accurate, and deeper understanding is provided for the user; massive real-time information retrieval is realized, data is effectively managed, and system statistical evaluation is also realized, so that user information interaction is facilitated.
Owner:青岛海欧斯健康科技有限公司
A Traceable Liquid Hazardous Waste Safe Unloading System
ActiveCN108408271BEasy to classify and identifyReduce the probability of unloading errorsLarge containersEngineeringMechanical engineering
Owner:天津市赛鹏环保科技有限公司
Radar distance super-resolution method based on target sparsity and time domain dechirping
PendingCN112363135AImprove distance resolutionAchieving distance super-resolutionWave based measurement systemsRadar signalsMultiple target
The invention discloses a radar distance super-resolution method based on target sparsity and time domain dechirping. The radar distance super-resolution method comprises the following steps: 1) carrying out dechirping processing on a linear frequency modulation echo signal of a radar target in a time domain; 2) establishing a sparsity mathematical model of multi-target echo signals; and 3) constructing an optimization function about the target distance and solving the optimization function to obtain the target distance, and meanwhile, realizing radar distance super-resolution. Under the sameradar signal bandwidth, compared with conventional pulse compression processing, the method has a higher distance resolution capability, and distance super-resolution is realized; and the super-resolution in distance improves the performance of target resolution, imaging, classification and recognition, and target detection in a clutter.
Owner:NANJING VOCATIONAL UNIV OF IND TECH
A system and method for detecting surface defects of magnetic tiles
ActiveCN110599470BReduce distractionsImprove classification recognition accuracyImage enhancementImage analysisImage extractionComputer graphics (images)
Owner:WUHAN UNIV OF SCI & TECH
A method for filtering and intercepting spam
ActiveCN104243501BFast preliminary classificationEasy to classify and identifyData switching networksFeature dataData mining
The invention relates to a filtering and intercepting method for junk mail. The method filters and recognizes the mail for multiple layers: obtaining the classification attribute of mail for the user according to the expression and / or phonetic feature data of the user for receiving and sending the mail; for the mail, which cannot be confirmed on category, orderly inquiring the black / white list of the user node local and friend node, the friend node is the network node having higher mail interaction frequency with the current user node; reminding the user for judging the category of the mail. By filtering and recognizing the mail for multiple layers, the problem of the prior art for recognizing the junk mail with larger cost and low efficiency can be solved.
Owner:四川神虎科技有限公司
Screening device for textiles
The invention relates to a screening device for textiles. The screening device for the textiles comprises a bottom seat and a side seat; a gathering and dividing frame is mounted at the upper ends of the bottom seat and the side seat commonly; a linear sliding way is formed in the left side of the gathering and dividing frame; the left side of the middle part of the linear sliding way communicates with a V-shaped lateral sliding way; an annular blocking rod is arranged on the right side of the middle part of the linear sliding way; and the left end of the blocking rod is connected with a motor. The screening device for the textiles is convenient to use; and defective textiles and qualified textiles can be respectively fed into different containers on the way of feeding each textile into the containers, so that the effects of screening and classifying and improving the delivery speed of the textiles indirectly are achieved.
Owner:ANHUI WUWEI TIANCHENG TEXTILE
Birdsong recognition method based on adaptive energy detection in complex environment
InactiveCN103489446B"Robust" is goodReduce overheadSpeech analysisPattern recognitionNoise power spectrum
The invention relates to a twitter identification method based on self-adaption energy detection under a complex environment. The method is characterized by comprising the following steps of firstly, dividing twitter into three frequency bands according to the frequency distribution condition of the twitter; secondly, detecting twitter acoustical signals containing noise through a self-adaption energy detection method based on noise power spectrum estimation and the foreground sound existence probability, and screening out the useful twitter signals; thirdly, extracting Mel-scale WPSCC features from the useful twitter signals according to distribution of the Mel scales; fourthly, conducting modeling, classification and identification on the extracted Mel-scale WPSCC features and extracted Mel-scale MFCC features through an SVM classifier. The WPSCC features extracted through the method have a better anti-noise function and are better in identification performance after undergoing self-adaption energy detection, the method is more suitable for twitter identification under the complex environment and has a good classification and identification effect on the twitter sound containing noise under the complex environment.
Owner:FUZHOU UNIV
A Face Recognition Method Based on Low-rank Block Sparse Representation
ActiveCN103632138BRemove camouflageRemove coverCharacter and pattern recognitionPattern recognitionComputer vision
The invention discloses a low-rank partitioning sparse representation human face identifying method, which adopts low-rank matrix decomposition, introduces a reference item, adopts a DCT (discrete cosine transform) algorithm to realize the normalization of images and effectively solves the problem of uneven lighting in a human face image. At a classifying stage, a clustering thought is used, and the identifying speed is effectively improved. The algorithm is used on a standard human face database to perform multiple times of tests, and the test result shows that compared with the existing human face identifying method, the low-rank partitioning sparse representation human dace identifying method has the advantage that the identifying accuracy and computing efficiency of the algorithm are all consistently improved. The precision and stability on human face identifying are improved under the complex conditions, such as shielding, disguising and illumination varying, of the human face image.
Owner:北京明德新民体育文化有限公司
A method and device for acquiring fretting features
ActiveCN108919216BGuaranteed accuracyImprove classification recognition rateWave based measurement systemsRadarTime–frequency analysis
The invention relates to the technical field of data processing, and provides a method and device for obtaining micro-motion characteristics. The method for obtaining the micro-motion characteristicscomprises the steps that radar echo signals of a warhead target are acquired; the time-frequency analysis of the radar echo signals is carried out to obtain a signal energy distribution function; according to the signal energy distribution function and the radar echo signals, at least one micro-motion characteristic of the warhead target is extracted; and a SVM classifier is used for filtering theextracted micro-motion characteristics, and an optimal feature subset including at least one of the micro-motion characteristics is obtained. The device for obtaining the micro-motion characteristicsincludes an acquisition unit, a time-frequency analysis unit, a characteristic extraction unit and a characteristic filtering unit. According to the method and device for obtaining the micro-motion characteristics, the micro-motion characteristics can be obtained from the radar echo signals.
Owner:BEIJING INST OF ENVIRONMENTAL FEATURES
Message sorting mechanism under host overlay
PendingCN114338807AGuaranteed accurate transmissionReduce dependenceTransmissionOverlayVirtual machine
The invention provides a message sorting mechanism under a host overlay, which comprises the following steps of: 1, receiving a message under the overlay by a host, analyzing message data, identifying message content, generating a message header and a message body, and generating a session identifier through the message header; step 2, the controller accumulates the session identifier values generated by the message, and the net-agent service records the session identifiers after receiving the message; 3, further identifying and judging the session identifier; and 4, recording an index of the issued data, and executing a corresponding command on the processed configuration message. According to the method, verification is carried out at the sending end and the receiving end by using an algorithm, the transmitted message is further determined, accurate transmission of the message is better ensured, the message is issued through two paths, sequential execution of the message is ensured, and the efficiency is improved. According to the invention, even in a scene of large-scale deployment of virtual machine physical servers, the sequence of messages can still be ensured under the condition of passing through different data sources.
Owner:UNICLOUD (NANJING) DIGITAL TECH CO LTD
Method for analyzing flavor principal components of pickled cedrela sinensis subjected to different sterilization treatments
PendingCN114200023AReduce lossGood precisionComponent separationBiotechnologyGas liquid chromatographic
The invention discloses a method for analyzing flavor principal components of pickled cedrela sinensis subjected to different sterilization treatments, belongs to the technical field of cedrela sinensis processing treatment and cedrela sinensis flavor detection, and particularly relates to a method for analyzing flavor principal components of pickled cedrela sinensis subjected to sterilization treatments, enriching cedrela sinensis fragrance by using a headspace-solid phase microextraction (HS-SPME) technology and analyzing the flavor principal components of the pickled cedrela sinensis through gas chromatography-mass spectrometry (GC-MS). According to the method, the flavor substances of the pickled cedrela sinensis are rapidly identified in combination with SIMCA, 10 kinds of cedrela sinensis are pickled in different treatments, through PCA analysis in the SIMCA, the flavors of 10 kinds of cedrela sinensis products in different treatments can be effectively identified, and the superiority of different treatment methods is compared.
Owner:TIANJIN UNIV OF SCI & TECH
An exposure machine which is easy to maintain
InactiveCN109270799AEasy maintenanceEasy to storePhotomechanical exposure apparatusMicrolithography exposure apparatusSingle exposureEngineering
The invention provides an exposure machine which is convenient to maintain, comprises an exposure machine shell, a storage battery, an adjustable hose, a power switch, an auxiliary lighting lamp, a cover, a handle, a replaceable exposure lamp holder structure, a standby exposure lamp holder storage frame structure, an adjustable chassis structure, a fixed outer frame, an air guide pipe, a fan bracket and a micro axial fan, wherein the storage battery is glued on the upper part of the exposure machine shell; The adjustable hose is glued on the upper right side of the battery; The power switch is glued on the right side of the battery; The auxiliary lighting lamp is glued to the right end of the adjustable hose. An LED exposure lamp is embed on that upper side of the exposure lamp rack of the invention, which is favorable for dismantling the single exposure lamp rack when the LED illumination lamp on the single exposure lamp rack is damaged, and the device is convenient to maintain; Thestandby lamp holder is arranged in the storage tank, which is favorable for storing the standby lamp holder, so that the standby lamp holder can be supplied in time when the exposure lamp holder is damaged.
Owner:张家港奇点光电科技有限公司
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