Pub Date : 2020-10-17DOI: 10.1109/CISP-BMEI51763.2020.9263582
Nan Nan, Ruipeng Gang, Ruixia Song
For images with sky region, we propose a method of image defogging based on pattern recognition and dark channel priori. First, the transmittance is obtained by reducing the minimum filter window, and then the edge of transmittance is smoothed by V transformation. Since the transmittance histogram has the feature of two peaks, we used Fisher linear classifier to identify sky and non-sky regions, and then recalculated the transmittance of sky regions. Finally, the atmospheric scattering model is used to get the new luminance component, and the gamma correction is carried out. After the saturation component is adjusted appropriately, the defogged image is converted back to RGB space. The experiment shows that the proposed algorithm can get better haze removal effect compared with the traditional defogging algorithm based on dark channel prior and other state-of-the-art methods developed in recent years, and to a certain extent has solved the problem of color distortion and the whole brightness being darker in the sky region when using the DCP based algorithm.
{"title":"Image Defogging Algorithm Based on Fisher Criterion Function and Dark Channel Prior","authors":"Nan Nan, Ruipeng Gang, Ruixia Song","doi":"10.1109/CISP-BMEI51763.2020.9263582","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263582","url":null,"abstract":"For images with sky region, we propose a method of image defogging based on pattern recognition and dark channel priori. First, the transmittance is obtained by reducing the minimum filter window, and then the edge of transmittance is smoothed by V transformation. Since the transmittance histogram has the feature of two peaks, we used Fisher linear classifier to identify sky and non-sky regions, and then recalculated the transmittance of sky regions. Finally, the atmospheric scattering model is used to get the new luminance component, and the gamma correction is carried out. After the saturation component is adjusted appropriately, the defogged image is converted back to RGB space. The experiment shows that the proposed algorithm can get better haze removal effect compared with the traditional defogging algorithm based on dark channel prior and other state-of-the-art methods developed in recent years, and to a certain extent has solved the problem of color distortion and the whole brightness being darker in the sky region when using the DCP based algorithm.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128634852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-17DOI: 10.1109/CISP-BMEI51763.2020.9263588
Li Zhao, Zhi-hua Jia, Lin He, Yan Bian, Yong Sun, Hongwei Li
Red light LEDs have shown excellent results from the research of phototherapy for cardiovascular diseases, and the optimal values of light parameters and irradiation time are one of the focuses of their research. Studying the change of LED irradiance and temperature with the irradiation time, and the effect of temperature on irradiance has important reference valued for the phototherapy research of cardiovascular system diseases. Based on the mechanism and application of LED in cardiovascular system diseases, this article tested and analyzed the irradiance and temperature of medical red LED. The experimental results show that as the light time increases, the temperature of the LED increases, and the irradiance decreases. After about 5min, the change rate is small and tends to be stable. Through regression analysis, an approximate relationship curve between the two is obtained.
{"title":"Performance Analysis of LED Light Sources Based on Cardiovascular Disease Treatment","authors":"Li Zhao, Zhi-hua Jia, Lin He, Yan Bian, Yong Sun, Hongwei Li","doi":"10.1109/CISP-BMEI51763.2020.9263588","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263588","url":null,"abstract":"Red light LEDs have shown excellent results from the research of phototherapy for cardiovascular diseases, and the optimal values of light parameters and irradiation time are one of the focuses of their research. Studying the change of LED irradiance and temperature with the irradiation time, and the effect of temperature on irradiance has important reference valued for the phototherapy research of cardiovascular system diseases. Based on the mechanism and application of LED in cardiovascular system diseases, this article tested and analyzed the irradiance and temperature of medical red LED. The experimental results show that as the light time increases, the temperature of the LED increases, and the irradiance decreases. After about 5min, the change rate is small and tends to be stable. Through regression analysis, an approximate relationship curve between the two is obtained.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129924961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-17DOI: 10.1109/CISP-BMEI51763.2020.9263632
Chuan-Dong Li, H. Zeng
As a very important inherent characteristic of modulated signals, Cyclostationarity can be exploited for various signal processing tasks such as detection, classification, especially for signal buried in noise or masked interference. In this paper, cyclostationarity of some typical digitally modulated signals are analyzed and Spectral correlation functions (SCF) of these signals are simulated. Based on two features extracted from cycle frequency profile of SCF, three common digitally modulated signals (BPSK, QPSK, MSK) are recognized with a decision tree classifier. The proposed scheme for modulation recognition is easy for implementation and doesn’t require any prior knowledge such as carrier frequency or symbol rate. Simulations prove that the proposed scheme is able to achieve 90% recognition rate when signal to noise ratio (SNR) higher than -3dB.
{"title":"Modulation recognition based on spectral correlation function","authors":"Chuan-Dong Li, H. Zeng","doi":"10.1109/CISP-BMEI51763.2020.9263632","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263632","url":null,"abstract":"As a very important inherent characteristic of modulated signals, Cyclostationarity can be exploited for various signal processing tasks such as detection, classification, especially for signal buried in noise or masked interference. In this paper, cyclostationarity of some typical digitally modulated signals are analyzed and Spectral correlation functions (SCF) of these signals are simulated. Based on two features extracted from cycle frequency profile of SCF, three common digitally modulated signals (BPSK, QPSK, MSK) are recognized with a decision tree classifier. The proposed scheme for modulation recognition is easy for implementation and doesn’t require any prior knowledge such as carrier frequency or symbol rate. Simulations prove that the proposed scheme is able to achieve 90% recognition rate when signal to noise ratio (SNR) higher than -3dB.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115996653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-17DOI: 10.1109/CISP-BMEI51763.2020.9263529
Yu Wang, Zhen Su
The new generation video coding standard HEVC has as many as 35 prediction modes and more flexible coding unit (CU) sizes. Although HEVC has better coding performance, it has high computational complexity and long coding time. In real-time signal processing systems, the algorithm must be further optimized. This paper proposes an efficient, fast intra-prediction algorithm for HEVC intra-coding. For the CU size decision, we use the depth information of the adjacent CUs to terminate the division in advance. For the intra-prediction mode selection, we use the parent CU's best prediction mode and the most probable modes (MPMs) to reduce the modes in the rate-distortion optimization process. Experimental results show that the proposed algorithm reduces encoding time by 47.21% on average, BD-BR increases by 1.81%, BD-PSNR decreases by 0.01dB, and SSIM decreases by 0.011. Comparing the proposed algorithm's RD curves with the existing algorithm, the proposed algorithm's rate-distortion performance has not changed significantly. The proposed algorithm does not significantly change the encoding performance and image quality while reducing the encoding time. The research method in this paper has theoretical guiding significance for HEVC intra-coding algorithm.
{"title":"An Efficient Intra Prediction Algorithm for HEVC Intra-coding","authors":"Yu Wang, Zhen Su","doi":"10.1109/CISP-BMEI51763.2020.9263529","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263529","url":null,"abstract":"The new generation video coding standard HEVC has as many as 35 prediction modes and more flexible coding unit (CU) sizes. Although HEVC has better coding performance, it has high computational complexity and long coding time. In real-time signal processing systems, the algorithm must be further optimized. This paper proposes an efficient, fast intra-prediction algorithm for HEVC intra-coding. For the CU size decision, we use the depth information of the adjacent CUs to terminate the division in advance. For the intra-prediction mode selection, we use the parent CU's best prediction mode and the most probable modes (MPMs) to reduce the modes in the rate-distortion optimization process. Experimental results show that the proposed algorithm reduces encoding time by 47.21% on average, BD-BR increases by 1.81%, BD-PSNR decreases by 0.01dB, and SSIM decreases by 0.011. Comparing the proposed algorithm's RD curves with the existing algorithm, the proposed algorithm's rate-distortion performance has not changed significantly. The proposed algorithm does not significantly change the encoding performance and image quality while reducing the encoding time. The research method in this paper has theoretical guiding significance for HEVC intra-coding algorithm.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122708791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-17DOI: 10.1109/CISP-BMEI51763.2020.9263527
Zhaoxin Hao, Tianqu Liu, Jinping Sun
Terahertz electromagnetic wave is currently used in synthetic aperture radar (SAR) imaging because of its high frequency and short wavelength. Although airborne terahertz SAR has many advantages such as high imaging resolution, the phase of echo signal is very sensitive to the vibration of radar platform. So, it is necessary to estimate and compensate the vibration phase error. In this paper, the influence of platform vibration on the echo signal is analyzed, which shows the necessity of vibration compensation. Then a dual-channel vibration estimation and compensation method, which was developed for airborne lidar, is introduced and applied to compensate high frequency vibration of airborne terahertz SAR. The simulation results of point target imaging experiment verify the effectiveness of the method.
{"title":"Dual-Channel High Frequency Vibration Compensation Processing for Terahertz SAR Imaging","authors":"Zhaoxin Hao, Tianqu Liu, Jinping Sun","doi":"10.1109/CISP-BMEI51763.2020.9263527","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263527","url":null,"abstract":"Terahertz electromagnetic wave is currently used in synthetic aperture radar (SAR) imaging because of its high frequency and short wavelength. Although airborne terahertz SAR has many advantages such as high imaging resolution, the phase of echo signal is very sensitive to the vibration of radar platform. So, it is necessary to estimate and compensate the vibration phase error. In this paper, the influence of platform vibration on the echo signal is analyzed, which shows the necessity of vibration compensation. Then a dual-channel vibration estimation and compensation method, which was developed for airborne lidar, is introduced and applied to compensate high frequency vibration of airborne terahertz SAR. The simulation results of point target imaging experiment verify the effectiveness of the method.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125663767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-17DOI: 10.1109/CISP-BMEI51763.2020.9263531
Qun Wang, Yajing Wang, Zhiwen Liu, Yuan-yuan Piao, Tao Yu
A novel algorithm for seizure prediction based on patient specific manner was proposed to improve the accuracy of epilepsy prediction. Time-frequency features and spatial features were extracted from each channel by 4s windows with 2s overlap. A continuous 10-min sample was selected from 1h before seizure onset by preictal period selection, which achieved maximum linear separability compared with inter ictal period. The effective features selected by elastic net and effective channels selected adaptively in greedy manner were input into SVM. The algorithm is tested on MIT scalp EEG database and the database collected in Xuanwu Hospital Capital Medical University. The algorithm can achieve a sensitivity of 94.61% and a false positive rate of 0.1484/h in MIT database, and a sensitivity of 95.14% and a false positive rate of 0.1312/h in Xuanwu Hospital database. The results show that the algorithm in this paper has higher sensitivity and lower false positive rate.
{"title":"A Patient Specific Seizure Prediction in Long Term EEG based on Adaptive Channel Selection and Preictal Period Selection","authors":"Qun Wang, Yajing Wang, Zhiwen Liu, Yuan-yuan Piao, Tao Yu","doi":"10.1109/CISP-BMEI51763.2020.9263531","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263531","url":null,"abstract":"A novel algorithm for seizure prediction based on patient specific manner was proposed to improve the accuracy of epilepsy prediction. Time-frequency features and spatial features were extracted from each channel by 4s windows with 2s overlap. A continuous 10-min sample was selected from 1h before seizure onset by preictal period selection, which achieved maximum linear separability compared with inter ictal period. The effective features selected by elastic net and effective channels selected adaptively in greedy manner were input into SVM. The algorithm is tested on MIT scalp EEG database and the database collected in Xuanwu Hospital Capital Medical University. The algorithm can achieve a sensitivity of 94.61% and a false positive rate of 0.1484/h in MIT database, and a sensitivity of 95.14% and a false positive rate of 0.1312/h in Xuanwu Hospital database. The results show that the algorithm in this paper has higher sensitivity and lower false positive rate.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126821568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-17DOI: 10.1109/CISP-BMEI51763.2020.9263623
Wen-jing Kang, Changqing Xie, Jin Yao, L. Xuan, Gongliang Liu
Multiple object tracking suffers from many challenges including huge computation work, crowd scenes. In order to solve these problems, we proposed a novel online multiple object tracking algorithm based on recurrent neural networks (RNNs) and appearance model. Compared to traditional algorithms, the RNNs can handle the motion state of the target well because it is trained with a quantity of data extracted from real world scenes. In addition, RNNs is helpful to improve tracking speed because it predicts the trajectories of objects without complex appearance calculations. The appearance feature is significant for tracking, especially in crowed scenes. The appearance model is extracted by convolutional neural networks trained with MARS dataset which is more targeted for the multi object tracking. In order to balance the speed and accuracy of tracking, a novel simple decision method was proposed to decide which features should be used. Otherwise, the cascade matching is integrated into the data association to solve a lot of subproblems in tracking. The experimental evaluation shows our algorithm is fast and accurate.
{"title":"Online Multiple Object Tracking with Recurrent Neural Networks and Appearance Model","authors":"Wen-jing Kang, Changqing Xie, Jin Yao, L. Xuan, Gongliang Liu","doi":"10.1109/CISP-BMEI51763.2020.9263623","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263623","url":null,"abstract":"Multiple object tracking suffers from many challenges including huge computation work, crowd scenes. In order to solve these problems, we proposed a novel online multiple object tracking algorithm based on recurrent neural networks (RNNs) and appearance model. Compared to traditional algorithms, the RNNs can handle the motion state of the target well because it is trained with a quantity of data extracted from real world scenes. In addition, RNNs is helpful to improve tracking speed because it predicts the trajectories of objects without complex appearance calculations. The appearance feature is significant for tracking, especially in crowed scenes. The appearance model is extracted by convolutional neural networks trained with MARS dataset which is more targeted for the multi object tracking. In order to balance the speed and accuracy of tracking, a novel simple decision method was proposed to decide which features should be used. Otherwise, the cascade matching is integrated into the data association to solve a lot of subproblems in tracking. The experimental evaluation shows our algorithm is fast and accurate.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126348891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-17DOI: 10.1109/CISP-BMEI51763.2020.9263547
Weijun Tian, Yezi Hui, Ju Wang, Yu Xiong, Lei Jiang, Ming Li
Aiming at the impact vibration of the robot caused by the unstructured ground collision, a cam slot stiffness functional bionic buffer joint is proposed. The stiffness function of the buffer joint is analyzed by the analytical method, and the accurate function expression equation of buffer joint stiffness is obtained. The design of the cam slot buffer joint is carried out based on the rigidity functional feature. The rigidity function feature of the buffer joint is analyzed by Adams simulation. The results show that the designed bionic buffer joints have the characteristic of stiffness function.
{"title":"Bionic design of buffer joint with functional stiffness","authors":"Weijun Tian, Yezi Hui, Ju Wang, Yu Xiong, Lei Jiang, Ming Li","doi":"10.1109/CISP-BMEI51763.2020.9263547","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263547","url":null,"abstract":"Aiming at the impact vibration of the robot caused by the unstructured ground collision, a cam slot stiffness functional bionic buffer joint is proposed. The stiffness function of the buffer joint is analyzed by the analytical method, and the accurate function expression equation of buffer joint stiffness is obtained. The design of the cam slot buffer joint is carried out based on the rigidity functional feature. The rigidity function feature of the buffer joint is analyzed by Adams simulation. The results show that the designed bionic buffer joints have the characteristic of stiffness function.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128947347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-17DOI: 10.1109/CISP-BMEI51763.2020.9263658
Pengxiang Du, Hui Li
In recent years, with the rapid development of measurement technology, people have higher requirements on the speed and efficiency of measurement. The integrated control system of virtual instrument can greatly improve the speed and accuracy of testing, at the same time, it can collect large data in real time, has good repeatability and expansibility, and also beautiful and simple operation interface. In this paper, the author uses LabVIEW application software as the development platform, and a variety of test instrument integrated control to form a fully automated measurement system. Hardware devices include electronic load, multimeter and power analyzer. They communicate with LabVIEW of host computer through different connection modes such as RS232 serial port and call DLL. The measurement data obtained from the experiment were stored in the MySQL database through LabVIEW, and the Excel table was exported to generate the printed report. The establishment of this test system greatly improves the testing efficiency of the laboratory, and at the same time improves the real-time and accuracy of measurement data, saves a lot of time and manpower, and has a good application value.
{"title":"Design of an Integrated Control System for Multiple Test Instruments Based on LabVIEW","authors":"Pengxiang Du, Hui Li","doi":"10.1109/CISP-BMEI51763.2020.9263658","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263658","url":null,"abstract":"In recent years, with the rapid development of measurement technology, people have higher requirements on the speed and efficiency of measurement. The integrated control system of virtual instrument can greatly improve the speed and accuracy of testing, at the same time, it can collect large data in real time, has good repeatability and expansibility, and also beautiful and simple operation interface. In this paper, the author uses LabVIEW application software as the development platform, and a variety of test instrument integrated control to form a fully automated measurement system. Hardware devices include electronic load, multimeter and power analyzer. They communicate with LabVIEW of host computer through different connection modes such as RS232 serial port and call DLL. The measurement data obtained from the experiment were stored in the MySQL database through LabVIEW, and the Excel table was exported to generate the printed report. The establishment of this test system greatly improves the testing efficiency of the laboratory, and at the same time improves the real-time and accuracy of measurement data, saves a lot of time and manpower, and has a good application value.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122192919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-17DOI: 10.1109/CISP-BMEI51763.2020.9263556
Yulong Song, Wenming Ma, Tongtong Liu
Today’s group recommender systems rarely consider the trust relationship between users, but the interaction between users often has a significant impact on each other’s preferences. A group recommendation model based on deep learning and user interaction is proposed, which has stronger representational capability than previous models. In addition, an improved weight fusion method based on user implicit vector is applied to the preference fusion of group members. Epinions data set shows that this model is superior to other comparison algorithms in RMSE and hit ratio.
{"title":"Deep Group Recommender System Model Based on User Trust","authors":"Yulong Song, Wenming Ma, Tongtong Liu","doi":"10.1109/CISP-BMEI51763.2020.9263556","DOIUrl":"https://doi.org/10.1109/CISP-BMEI51763.2020.9263556","url":null,"abstract":"Today’s group recommender systems rarely consider the trust relationship between users, but the interaction between users often has a significant impact on each other’s preferences. A group recommendation model based on deep learning and user interaction is proposed, which has stronger representational capability than previous models. In addition, an improved weight fusion method based on user implicit vector is applied to the preference fusion of group members. Epinions data set shows that this model is superior to other comparison algorithms in RMSE and hit ratio.","PeriodicalId":346757,"journal":{"name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116823587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}