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Copyright of Feed Industry is the property of Liaoning Provincial Institute of Agricultural Mechanization and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Machine Tool & Hydraulics is the property of Guangzhou Mechanical Engineering Research Institute (GMERI) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Machine Tool & Hydraulics is the property of Guangzhou Mechanical Engineering Research Institute (GMERI) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Agricultural Big Data is the property of Journal of Agricultural Big Data Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Materials Science & Engineering (1673-2812) is the property of Journal of Materials Science & Engineering Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Surfactant Detergent & Cosmetics (2097-2806) is the property of China Surfactant Detergent & Cosmetics Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Computer Measurement & Control is the property of Magazine Agency of Computer Measurement & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The intermediate language adopted in existing Web vulnerability detection methods is designed for a specific programming language. However, when abstracting a vulnerability from the source code of multiple programming languages, a unified intermediate language cannot represent the same type of vulnerability in multiple languages, which increases the difficulty of subsequent vulnerability analysis. To deal with this problem, this paper proposed an intermediate language based on taint analysis to realize the unified abstract representation of the same type of vulnerability information in multiple programming languages. In the design process of the intermediate language, it firstly abstracted the process of vulnerability as a triple representation, and the code elements related to the triple were abstracted as the keywords of the intermediate language. Secondly, it designed the syntax of the intermediate language according to the semantic relationship between the triples. Thirdly, it utilized the taint analysis method to trace the execution path of the taint source when escaping, and the intermediate language representation could be obtained by escaping the source code in the path. Finally, it applied the intermediate language to the vulnerability detection model. The experimental results show that compared with the other intermediate languages' abstract representation of vulnerability information in programming languages, the proposed intermediate language is more universal and more effective for vulnerability detection. [ABSTRACT FROM AUTHOR]

Copyright of Laser Technology is the property of Gai Kan Bian Wei Hui and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Multipurpose Utilization of Mineral Resources / Kuangchan Zonghe Liyong is the property of Multipurpose Utilization of Mineral Resources Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Ballistics / Dandao Xuebao is the property of Journal of Ballistics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Ordnance Industry Automation is the property of Editorial Board for Ordnance Industry Automation and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Ordnance Equipment Engineering is the property of Chongqing University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of South China Normal University (Natural Science Edition) / Huanan Shifan Daxue Xuebao (Ziran Kexue Ban) is the property of Journal of South China Normal University (Natural Science Edition) Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Experimental Technology & Management is the property of Experimental Technology & Management Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Inorganic Chemicals Industry is the property of Editorial Office of Inorganic Chemicals Industry and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Using ultraviolet (UV) absorption spectroscopy to investigate the influences of metal cations (Ca2+, Mg2+, K+) on the UV absorption characteristics of two anionic surfactant solutions--sodium dodecylbenzene sulfonate (SDBS) and sodium a-alkenyl sulfonate (AOS). The results show that SDBS has two absorption peaks near 224 nm and 261 nm, whereas there is only one absorption peak near 238 nm for AOS. This difference can be attributed to the unique aromatic hydrocarbon structure in SDBS. Both the UV absorption intensity of SDBS and AOS are linearly positively correlated with the surfactant concentration, thus UV absorption spectroscopy can be used to quantitatively characterize the concentration of SDBS and AOS in the aqueous solution. When three metal salts are added to the SDBS solution, it is found that the addition of the metal salt will cause the absorption peak at 224 nm to produce a hypochromic effect, and the absorption peak at 261 nm will produce a hyperchromic effect. At the same time, the addition of divalent salt will change the absorbance of SDBS solution significantly, Ca2+ salt has a lar. ger effect on SDBS absorbance than Mg2+ salt, while K+ salt has a negligible effect on SDBS absorbance. In the presence of Ca2+, AOS can be easily precipitated. The addition of Mg2+ salt promotes the increase in the absorbance of the AOS solution and produce a hyperchromic effect, the K+ salt still has a slight effect. At the same metal salt concentration, the order of the influence of metal salt on the UV absorbance of anionic surfactants is Ca2+ > Mg2+ > K+, which is attributed to the difference in the charge radius of the metal cation. [ABSTRACT FROM AUTHOR]

Copyright of Food & Machinery is the property of Food & Machinery Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

ECG analysis is an important basis for doctors to diagnose arrhythmia. The judgment of arrhythmia helps patients understand their physical conditions in time and find potential diseases. However, ECG analysis is not only time-consuming and labor-intensive, but also relies on clinical experience. Therefore, the efficiency of ECG analysis has always been limited by the number of doctors and work efficiency. The development of deep learning technology provides a foundation for the development of computer-aided diagnosis systems. In this study, a one-dimensional ECG signal is converted into a two-dimensional gray image, and a GAN-CNN network is used to solve the problem of ECG data imbalance, which can simultaneously realize the recognition of 7 types of arrhythmia and normal heartbeat. The experiment is verified by the MIT-BIH arrhythmia database. The average accuracy rate reaches 99.32%, and the sensitivity and specificity are 99.69% and 98.91%, respectively. [ABSTRACT FROM AUTHOR]

Copyright of Acta Agronomica Sinica is the property of Crop Science Society of China and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Mainstream target tracking algorithms only use visible light（RGB） images for tracking tasks. When the illumination conditions of the tracking scene are poor, visible light images algorithm of representing color and texture characteristics will seriously limit the tracking performance of the tracker. Aiming at the problem of missing single mode target information, based on the SiamFC network model and the idea of infrared and visible image fusion, this paper proposed a target tracking algorithm based on dual mode weight self-updating Siamese network. This algorithm effectively utilized the complementary advantages of infrared and visible image in the field of target tracking since the infrared image could collect the thermal information of moving target. It used the AlexNet model to extract the moving object with the robust characteristics, which guaranteed the tracking accuracy and improved the tracking speed of tracking model. Finally experimental results on OTB2015 datasets and infrared-visible light datasets RGB-T234 show that the proposed algorithm of target tracking under various tracking scenario has good tracking effect. [ABSTRACT FROM AUTHOR]

There are disadvantages such as low resolution, low completeness, and many interference items in the UAV’s perspective targets. Additionally, the research progress of UAV target detection system is slow, and its detection accuracy for small targets, incomplete targets and overlapping targets cannot meet the actual needs of society. In view of these problems, this study proposes a vehicle target detection solution for UAV platform based on Faster R-CNN. This solution uses Res-Net convolutional neural network as the feature extraction network, improves the network structure, redesigns Anchor generation and improves the Soft-NMS algorithm and other strategies, solves the problem of low detection accuracy of small targets, incomplete targets and overlapping targets, and improves the accuracy of UAV vehicle detection. The test experiments on the dataset constructed in this study show that the proposed algorithm has 13.46% increase in AP value compared with the previous improvement. Test experiments on the public data set show that compared with the current mainstream algorithms, the proposed algorithm has better AP value and recall rate. [ABSTRACT FROM AUTHOR]

For the clutter signal interference existing in the research of antenna signals, the RLS algorithm is commonly used for filtering processing. However, the forgetting factor of conventional RLS algorithm is usually fixed, which cannot meet the requirements of fast tracking speed and small stability error at the same time. To solve the above problems, this study proposes an improved RLS algorithm based on regularization model. By adding an improved function, the forgetting factor can increase variability, and the inverse matrix equation of the autocorrelation matrix can be improved. The added correlation restriction condition can reduce the noise of the clutter signal to the original signal, and the existence and uniqueness of the noise reduction effect are ensured, thus greatly reducing the interference of the clutter. The waveform diagram of this experiment show that compared with the conventional RLS algorithm, the improved algorithm has stronger tracking capability and stability. [ABSTRACT FROM AUTHOR]

Copyright of Special Oil & Gas Reservoirs is the property of Special Oil & Gas Reservoirs Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Arid Zone Research / Ganhanqu Yanjiu is the property of Arid Zone Research Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Among the problems involving image classification, the classification method based on convolutional neural networks is preferred. In order to solve the problems of poor processing capacity and low classification accuracy, a new type of image classification model of convolutional neural network is proposed. The new Inception module is added on the basis of the traditional network model, which enhances the transmission of the feature information of the model and improves the ability of feature expression. Additionally, the performance of the model and the classification accuracy are improved by activation function, data enhancement, batch regularization, initial weight optimization and Adadelta optimization method. The new network model based on the new initial module is used to test the data on the CIFAR - 10 data set, and compared with the traditional network model method, which proves that the modulated model effectives improves the network performance. [ABSTRACT FROM AUTHOR]

Sleep apnea is a common sleep disorder, which is associated with multiple diseases. This study proposes deep learning methods to detect sleep apnea events. The two stages of ECG signal preprocessing are used as inputs to the CNN and LSTM models, respectively. The CNN model takes the original ECG signal as input and automatically extracts features through convolution to identify sleep apnea. The LSTM model uses ECGs indirect signal as input and automatically extractes features from RR intervals and respiratory signals. Experiments show that the LSTM model has a high accuracy of 87. 4%, which is close to the performance of the traditional methods. The proposed method combines the advantages of artificial feature extraction and deep learning, and is more applicable than the traditional classification methods. [ABSTRACT FROM AUTHOR]

The YOLOv3 algorithm uses Darknet53 as the backbone in the target detection (pedestrian detection) of a single object, and the network appears redundant, which results in too many parameters and slow detection speed. Additionally, the traditional bounding box loss function makes the detection and positioning inaccurate. To solve these problems, the improved YOLOv3 backbone network is proposed in the current study. A new multi-scale fusion network based on Darknet19 is constructed to accelerate the training speed and detection speed, and a generalized intersection over union loss function is introduced to improve the detection accuracy. The experimental results show that the proposed algorithm improves the accuracy of the original algorithm by 5% in the pedestrian detection dataset such as the INRIA pedestrian dataset. Compared with Faster R-CNN, the detection speed of a single image reaches 0.015 s per image under the condition of good accuracy. [ABSTRACT FROM AUTHOR]

In order Lo improve the coding efficiency of HEVC in real - Lime video, this study proposes an improved HEVC efficiency algorithm based on fast coding unit partition and adaptive mode decision. By using the separation depth information of the adjacent coding units on the top and left, it is determined whether the can coding unit could he separated or te1minated early. When the condition is not satisfied, the coding unit can end its quad - tree separation by using the Rate - distortion cost threshold determined by training frame online learning. At the same time, the minimum Rate - distortion cost model and the second smallest Rate - distortion cost model were adopted to reduce the number of candidate sets and determine candidate sel C55. Then, C8, is optimizect lo reduce the number of candictate Rale - Distortion optimization. Finally, the Rale - Distortion optimization calculation was carried out Lo select the optimal mode to reduce the number of prediction modes. Experimental results show that compared with HM standard test results, the proposed algorithm can effectively reduce the video coding time of 45 . 93 % under the premise of ensuring the coding quality, with only 0. 5978% of BDBR rising. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Kunming Medical University / Kunming Yike Daxue Xuebao is the property of Kunming Medical Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Forensic Medicine / Fayixue Zazhi is the property of Journal of Forensic Medicine Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

A new type of dimethyl oxalate hydrogenated ethylene glycol mixer was studied to meet the requirements that the nozzle flow rate of mixer was 3 400 kg/h , the pressure drop of nozzles was 300 kPa, and the atomized particle size of gas-liquid two-phase mixture was less than 200 μm. Through the study of the atomization performance of the nozzle, a low-pressure, large-flow rate, small-particle size (average particle size was 250 μm) nozzle was designed and manufactured. Based on the principle of secondary crushing of gas-liquid two-phase effecting on spraying particle size, the optimal angle of relatively spraying of liquid phase and high-speed gas was obtained by CFD numerical simulation, and the requirement of atomizing average particle size of gas-liquid two-phase mixture, i. e. , 150 μm, was realized, which provides an important designed consideration for dimethyl oxalate hydrogenated ethylene glycol mixer. [ABSTRACT FROM AUTHOR]

The existing histogram shifting based reversil^le data hiding algoritlims were all aimed at improving the embedding rate, however, they ignored the size 〇0 the boundary map# a large amount 〇0 boundary map couldn’t be stored，and influenced the implementation 〇0 the algorithm. This paper analyzed this problem according to an existing typiccl reversible data hiding al- gorithm，and found a way to solve it. Finally，this paper proposed a high 7 bit planes embedding based gray image reversible data hiding algorithm # different from the traditional reversible data hiding algorithmthat used all bit planes to embed data，the proposed algorithmused high 7 bit planes as data carrier. Because the carrier image that composed by high 7 bit planes had the feature of gray value distribution concentration，using it to embed data could obviously control the size of boundary map and enhanced the embedding rate. The experiment results show that the proposed algorithmcan improve the embedding rate，and it also can make the image with additional data has a high peak signal to noise ratio value. [ABSTRACT FROM AUTHOR]

Copyright of Acta Automatica Sinica is the property of Chinese Academy of Sciences, Institute of Automation and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In the production process of copper-molybdenum flotation separation， the consumption of sodium sulfide inhibitors is always high. The high consumption of sodium sulfide dramatically increases the production cost of copper-molybdenum flotation separation. The mechanism of large consumption for sodium sulfide was preliminary studied in copper-molybdenum flotation separation. Under the different experiment conditions， dynamic monitoring approach was used to quickly measure the change of sulfide ion concentration in sodium sulfide solution by sulfide ionic selective electrode. The results showed that the oxidation of sodium sulfide can be catalyzed by flotation mineral(molybdenite， chalcopyrite and pyrite)and metal cation(Cu2+ and Fe3+)from flotation pulp. Moreover， the blowing air to flotation pulp and lower pulp temperature can also accelerate the oxidation consumption of sodium sulfide in flotation process.As a result， the large consumption of sodium sulfide is caused by catalysis action from mineral and metal cation， adsorptive action of mineral， the effect of flotation pulp temperature and blowing air to flotation pulp. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Hebei University of Science & Technology is the property of Hebei University of Science & Technology, Journal of Hebei University of Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Harbin Institute of Technology. Social Sciences Edition / Haerbin Gongye Daxue Xuebao. Shehui Kexue Ban is the property of Harbin Institute of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)