Pub Date : 2021-11-01DOI: 10.1109/ITME53901.2021.00037
Chenghao Wang, Jin Gou, Zongwen Fan
Personalized news recommendation system aims to screen out the news that users are interested in from explosion amount of news for display. In recent years, deep learning methods have been widely used in news recommendation system. However, whether in traditional news recommendation methods or advanced deep learning models, most of them are only modeled after feature extraction of news titles or modeled after adding user preferences. There are two problems: insufficient expression of news and insufficient exploration of the implicit meaning of users, continuous behavior. Therefore, in this paper, we propose a news recommendation model based on a multi-feature sequence transformer (MFST). It first extracts multiple attributes of news and merges them together for learning unified news representation. Secondly, a powerful Transformer component is applied to process the user's historical reading behavior seq uence information to express the news in more details by strengthening the learning ability of news representation and capturing the meaning behind the user's continuous historical reading behaviors. In addition, we also attached an attention network to calculate the closeness of the clicked news to the candidate news. Experimental results based on the real-world news dataset confirmed that our proposed MFST model is effective for personalized news recommendation compared the state-of-the-art deep learning models.
{"title":"News Recommendation Based On Multi-Feature Sequence Transformer","authors":"Chenghao Wang, Jin Gou, Zongwen Fan","doi":"10.1109/ITME53901.2021.00037","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00037","url":null,"abstract":"Personalized news recommendation system aims to screen out the news that users are interested in from explosion amount of news for display. In recent years, deep learning methods have been widely used in news recommendation system. However, whether in traditional news recommendation methods or advanced deep learning models, most of them are only modeled after feature extraction of news titles or modeled after adding user preferences. There are two problems: insufficient expression of news and insufficient exploration of the implicit meaning of users, continuous behavior. Therefore, in this paper, we propose a news recommendation model based on a multi-feature sequence transformer (MFST). It first extracts multiple attributes of news and merges them together for learning unified news representation. Secondly, a powerful Transformer component is applied to process the user's historical reading behavior seq uence information to express the news in more details by strengthening the learning ability of news representation and capturing the meaning behind the user's continuous historical reading behaviors. In addition, we also attached an attention network to calculate the closeness of the clicked news to the candidate news. Experimental results based on the real-world news dataset confirmed that our proposed MFST model is effective for personalized news recommendation compared the state-of-the-art deep learning models.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"31 1","pages":"132-139"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88188978","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 : 2021-11-01DOI: 10.1109/ITME53901.2021.00095
Shengda Lu, Xiaofa Liu, Ruiyu Li, S. Jia
Objective: To summarize the curative effect of TCM characteristic therapy on intractable hiccup. Methods: The literature database of TCM characteristic therapy for intractable hiccup was searched and classified, including traditional Chinese medicine, moxibustion therapy, cupping, bloodletting therapy, ear point bean pressing and other treatment methods. Results: The characteristic therapy of Traditional Chinese medicine, moxibustion therapy, cupping therapy, bloodletting therapy, ear point pressing bean treatment of intractable hiccup can relieve the symptoms of hiccup alone or combined, combined application can shorten the disease, reduce the patient's pain and treatment cost. Conclusion: TCM characteristic therapy is effective in treating intractable hiccup, with rapid symptom relief and low recurrence rate. Comprehensive application is better than single application.
{"title":"TraditionalChineseMedicine characteristic therapy treats obstinate hiccup","authors":"Shengda Lu, Xiaofa Liu, Ruiyu Li, S. Jia","doi":"10.1109/ITME53901.2021.00095","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00095","url":null,"abstract":"Objective: To summarize the curative effect of TCM characteristic therapy on intractable hiccup. Methods: The literature database of TCM characteristic therapy for intractable hiccup was searched and classified, including traditional Chinese medicine, moxibustion therapy, cupping, bloodletting therapy, ear point bean pressing and other treatment methods. Results: The characteristic therapy of Traditional Chinese medicine, moxibustion therapy, cupping therapy, bloodletting therapy, ear point pressing bean treatment of intractable hiccup can relieve the symptoms of hiccup alone or combined, combined application can shorten the disease, reduce the patient's pain and treatment cost. Conclusion: TCM characteristic therapy is effective in treating intractable hiccup, with rapid symptom relief and low recurrence rate. Comprehensive application is better than single application.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"67 1","pages":"446-449"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84051945","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 : 2021-11-01DOI: 10.1109/ITME53901.2021.00125
Guihua Liu, Gan Wang, Jincai Wang, Yuzhong Peng
Based on investigations of the current situation of deep learning in computer basic courses in a certain medical university, the study aims to analyze the reasons of shallow learning in computer basic courses and find out the deep learning strategies. The questionnaire is designed from four dimensions: learning motivation, teaching methods, learning methods and learning effects. The results of the questionnaire show that the reasons for the lack of deep learning of computer basic courses are as follows: lack of novel content, too large class size, uneven basic level of students, only shallow learning for examinations and single evaluation method. The conclusion is introducing the teaching concept of deep learning into computer basic courses can change the teaching paradigm for the purpose of knowledge transfer and enable students to deeply participate in and effectively experience learning.
{"title":"An Analysis of the Current Situation of Computer Basic Courses in a Medical University and Its Countermeasures","authors":"Guihua Liu, Gan Wang, Jincai Wang, Yuzhong Peng","doi":"10.1109/ITME53901.2021.00125","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00125","url":null,"abstract":"Based on investigations of the current situation of deep learning in computer basic courses in a certain medical university, the study aims to analyze the reasons of shallow learning in computer basic courses and find out the deep learning strategies. The questionnaire is designed from four dimensions: learning motivation, teaching methods, learning methods and learning effects. The results of the questionnaire show that the reasons for the lack of deep learning of computer basic courses are as follows: lack of novel content, too large class size, uneven basic level of students, only shallow learning for examinations and single evaluation method. The conclusion is introducing the teaching concept of deep learning into computer basic courses can change the teaching paradigm for the purpose of knowledge transfer and enable students to deeply participate in and effectively experience learning.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"33 1","pages":"591-594"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80261534","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 : 2021-11-01DOI: 10.1109/ITME53901.2021.00102
Rui Zhang, Huijian Han
In order to improve the practical teaching level of digital media specialty, this article focuses on innovation and entrepreneurship education. Starting from the practical teaching link of digital media specialty, we deeply analyzes the educational connotation of innovation and entrepreneurship ability, so as to improve the quality of professional talent training. The article proposes to build a platform for college students' innovation and entrepreneurship, driven by subject competitions and relying on open laboratories. On this basis, we fully integrate the local digital media industry, and actively carry out the reform of digital media professional practice teaching methods. At present, it has been promoted in the School of Computer Science and Technology of our university, and the pilot has achieved remarkable results.
{"title":"Driven by Subject Competitions to Cultivate College Students' Innovation and Entrepreneurship Ability","authors":"Rui Zhang, Huijian Han","doi":"10.1109/ITME53901.2021.00102","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00102","url":null,"abstract":"In order to improve the practical teaching level of digital media specialty, this article focuses on innovation and entrepreneurship education. Starting from the practical teaching link of digital media specialty, we deeply analyzes the educational connotation of innovation and entrepreneurship ability, so as to improve the quality of professional talent training. The article proposes to build a platform for college students' innovation and entrepreneurship, driven by subject competitions and relying on open laboratories. On this basis, we fully integrate the local digital media industry, and actively carry out the reform of digital media professional practice teaching methods. At present, it has been promoted in the School of Computer Science and Technology of our university, and the pilot has achieved remarkable results.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"3 1","pages":"480-484"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85038846","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 : 2021-11-01DOI: 10.1109/ITME53901.2021.00055
Ta Zhao, X. Liu, Ping Sun, Ming An, Xiaotong Mu
Currently, with the rapid urbanization process in China, rail transport systems have become a good solution to the traffic jam problem. Their electromagnetic compatibility (EMC) plays an important role in the safe and reliable operation of railway vehicles. Therefore, this paper proposes an EMC vehicle-level layout scheme for railway vehicles, and designs their electrical device layout and wiring layout. Meanwhile, based on the device distribution, the railway vehicles are divided into three parts, i.e. the roof, the interior and the bottom, and their corresponding EMC partition layouts are given. Finally, taking the Shanghai Metro Line 6 as an example, the proposed EMC layout scheme is tested. The test results show that the proposed scheme can meet the requirements of EMC standards for the railway vehicles and guarantee their predefined safe and reliable operation.
{"title":"EMC Vehicle-Level Layout Design for Railway Vehicles in Complex Electromagnetic Environment","authors":"Ta Zhao, X. Liu, Ping Sun, Ming An, Xiaotong Mu","doi":"10.1109/ITME53901.2021.00055","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00055","url":null,"abstract":"Currently, with the rapid urbanization process in China, rail transport systems have become a good solution to the traffic jam problem. Their electromagnetic compatibility (EMC) plays an important role in the safe and reliable operation of railway vehicles. Therefore, this paper proposes an EMC vehicle-level layout scheme for railway vehicles, and designs their electrical device layout and wiring layout. Meanwhile, based on the device distribution, the railway vehicles are divided into three parts, i.e. the roof, the interior and the bottom, and their corresponding EMC partition layouts are given. Finally, taking the Shanghai Metro Line 6 as an example, the proposed EMC layout scheme is tested. The test results show that the proposed scheme can meet the requirements of EMC standards for the railway vehicles and guarantee their predefined safe and reliable operation.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"34 1","pages":"231-236"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85471031","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 : 2021-11-01DOI: 10.1109/ITME53901.2021.00044
Yunyang
This paper introduces the principle of BP Neural Network to achieve Training algorithm, which work with Hopfield neural network associative memory to achieve prediction fire in the semi-closed space of the community. The BP Neural Network is regarded as a nonlinear mapping from input to output. Based on the BP neural network algorithm by the software monitoring technology obtain the prediction model which predict the output value is closed to the real value The high effectiveness of Artificial Neural Network is verified by the comparison of specific field simulation. Once the fire happened, People can get fire of extinguishing materials in time by the color of the smoke and fire emitted to prevent the expansion of the fire. Consequently, the fire disasters can be predicted and prevented through the pattern of the fire model.
{"title":"Situation Prediction of Fire Management System Based on BP Neural Network","authors":"Yunyang","doi":"10.1109/ITME53901.2021.00044","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00044","url":null,"abstract":"This paper introduces the principle of BP Neural Network to achieve Training algorithm, which work with Hopfield neural network associative memory to achieve prediction fire in the semi-closed space of the community. The BP Neural Network is regarded as a nonlinear mapping from input to output. Based on the BP neural network algorithm by the software monitoring technology obtain the prediction model which predict the output value is closed to the real value The high effectiveness of Artificial Neural Network is verified by the comparison of specific field simulation. Once the fire happened, People can get fire of extinguishing materials in time by the color of the smoke and fire emitted to prevent the expansion of the fire. Consequently, the fire disasters can be predicted and prevented through the pattern of the fire model.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"21 4","pages":"174-179"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91551108","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 : 2021-11-01DOI: 10.1109/ITME53901.2021.00067
Lei Xu, X. Hui, Peicheng Du, L. Du
Objective: To study the safety and effectiveness of panax notoginseng saponins (trade name: Xuesaitong) for patients with diabetic peripheral neuropathy. Methods: first, search the literature of randomized controlled trials clinical studies of all patients with diabetic peripheral neuropathy using panax notoginseng saponins or Xuesaitong through CNKI and Wanfang, and set the search time in order to establish the database until January 16, 2021, the documents include English and Chinese documents, and further screening will be carried out according to the inclusion criteria of the documents and the exclusion criteria of the documents, and then the basic information in the included documents and the total effective rate, obvious efficiency and the data on the incidence of adverse reactions was extracted into an Excel table. Finally, RevMan 5.3 software was used to meta-analyze the data to study the safety and effectiveness of panax notoginseng saponins in patients with diabetic peripheral neuropathy. Results: a total of 26 Chinese literatures of randomized controlled trials were included, but there were no English literatures. A total of 1804 patients with diabetic peripheral neuropathy were included. The results of meta-analysis showed that patients with diabetic peripheral neuropathy treated with Panax notoginseng saponins had a significant rate [OR=3.27, 95%CI (2.64, 4.05), Z=10.89, P<0.00001] and a total effective rate [OR=4.60, 95%] CI (3.63, 5.82), P<0.00001] was significantly higher than the control group. Conclusion: patients with diabetic peripheral neuropathy have a better therapeutic effect with total saponins of notoginseng.
{"title":"Meta-analysis of the curative effect of panax notoginseng saponins in the treatment of diabetic peripheral neuropathy","authors":"Lei Xu, X. Hui, Peicheng Du, L. Du","doi":"10.1109/ITME53901.2021.00067","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00067","url":null,"abstract":"Objective: To study the safety and effectiveness of panax notoginseng saponins (trade name: Xuesaitong) for patients with diabetic peripheral neuropathy. Methods: first, search the literature of randomized controlled trials clinical studies of all patients with diabetic peripheral neuropathy using panax notoginseng saponins or Xuesaitong through CNKI and Wanfang, and set the search time in order to establish the database until January 16, 2021, the documents include English and Chinese documents, and further screening will be carried out according to the inclusion criteria of the documents and the exclusion criteria of the documents, and then the basic information in the included documents and the total effective rate, obvious efficiency and the data on the incidence of adverse reactions was extracted into an Excel table. Finally, RevMan 5.3 software was used to meta-analyze the data to study the safety and effectiveness of panax notoginseng saponins in patients with diabetic peripheral neuropathy. Results: a total of 26 Chinese literatures of randomized controlled trials were included, but there were no English literatures. A total of 1804 patients with diabetic peripheral neuropathy were included. The results of meta-analysis showed that patients with diabetic peripheral neuropathy treated with Panax notoginseng saponins had a significant rate [OR=3.27, 95%CI (2.64, 4.05), Z=10.89, P<0.00001] and a total effective rate [OR=4.60, 95%] CI (3.63, 5.82), P<0.00001] was significantly higher than the control group. Conclusion: patients with diabetic peripheral neuropathy have a better therapeutic effect with total saponins of notoginseng.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"1 1","pages":"292-297"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87482711","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 : 2021-11-01DOI: 10.1109/ITME53901.2021.00025
Yuzhu Wang, Jianwei Ma, Jinfeng Lv, Zhaoyang Zhao
SiamRPN++ has achieved excellent performance on thermal infrared object tracking. However, it directly fuses multi-layer features using weighted summation, which has the problem of insufficient feature fusion. In this paper, we propose an adaptive feature fusion module. It can fuse the features of different layers by adaptively allocating channel weights. Meanwhile, CIoU loss is used to make the regression of the bounding box more accurate. Experimental results show that the proposed method improves the baseline algorithm effectively and achieves excellent tracking accuracy and efficiency. The proposed method has strong robustness, effectively dealing with some challenges such as interference and occlusion. Therefore, the proposed method is valuable in practical application.
{"title":"Thermal Infrared Object Tracking Based on Adaptive Feature Fusion","authors":"Yuzhu Wang, Jianwei Ma, Jinfeng Lv, Zhaoyang Zhao","doi":"10.1109/ITME53901.2021.00025","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00025","url":null,"abstract":"SiamRPN++ has achieved excellent performance on thermal infrared object tracking. However, it directly fuses multi-layer features using weighted summation, which has the problem of insufficient feature fusion. In this paper, we propose an adaptive feature fusion module. It can fuse the features of different layers by adaptively allocating channel weights. Meanwhile, CIoU loss is used to make the regression of the bounding box more accurate. Experimental results show that the proposed method improves the baseline algorithm effectively and achieves excellent tracking accuracy and efficiency. The proposed method has strong robustness, effectively dealing with some challenges such as interference and occlusion. Therefore, the proposed method is valuable in practical application.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"6 1","pages":"71-75"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87501055","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 : 2021-11-01DOI: 10.1109/ITME53901.2021.00105
Yiming Jia, Fu Xie, Sen Wang
NAO,as a new type of robot, has gradually attracted the attention of the industry. The use of NAO robots in education, especially the introduction of NAO robots into the classroom, has attracted the attention of an increasing number of researchers. First of all, this research briefly introduces the research status and development trend of robot-assisted teaching. Secondly, this research elaborates the design of teaching activities based on the teaching content of “C Programming Fundamentals” in secondary vocational schools, with the help of robot-assisted teaching. Finally, we hope that this study can provide a practical and experimental approach for assisted instruction, and also can promote the application of artificial intelligence technology in classroom teaching.
{"title":"The application of NAO robots in the course of “C language programming foundation” in secondary vocational schools","authors":"Yiming Jia, Fu Xie, Sen Wang","doi":"10.1109/ITME53901.2021.00105","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00105","url":null,"abstract":"NAO,as a new type of robot, has gradually attracted the attention of the industry. The use of NAO robots in education, especially the introduction of NAO robots into the classroom, has attracted the attention of an increasing number of researchers. First of all, this research briefly introduces the research status and development trend of robot-assisted teaching. Secondly, this research elaborates the design of teaching activities based on the teaching content of “C Programming Fundamentals” in secondary vocational schools, with the help of robot-assisted teaching. Finally, we hope that this study can provide a practical and experimental approach for assisted instruction, and also can promote the application of artificial intelligence technology in classroom teaching.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"37 1","pages":"495-499"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85458564","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 : 2021-11-01DOI: 10.1109/ITME53901.2021.00013
Ling Jiang, Yi Jiang, Guimin Shi, Zhongjie Xiao
In order to overcome the premarure risk of differential evolution algorithm, harmony search mechanism is introduced to optimize the pattern synthesis of multiple input and multiple output radar. Firstly, the memory of harmony search receives the optimizing results of differential evolution algorithm. And then it disturbs the local best to achieve better global optimization results. The advantage of novel method than standard differential evolution is tested with benchmark function while it can also maintain the diversity of population. What's more, several experiments are conducted to show that the optimal peak side lobe level and convergence performance have been achieved better through the proposed algorithm for multiple input and multiple output radar.
{"title":"Array optimization for MIMO radar based on harmony search mechanism","authors":"Ling Jiang, Yi Jiang, Guimin Shi, Zhongjie Xiao","doi":"10.1109/ITME53901.2021.00013","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00013","url":null,"abstract":"In order to overcome the premarure risk of differential evolution algorithm, harmony search mechanism is introduced to optimize the pattern synthesis of multiple input and multiple output radar. Firstly, the memory of harmony search receives the optimizing results of differential evolution algorithm. And then it disturbs the local best to achieve better global optimization results. The advantage of novel method than standard differential evolution is tested with benchmark function while it can also maintain the diversity of population. What's more, several experiments are conducted to show that the optimal peak side lobe level and convergence performance have been achieved better through the proposed algorithm for multiple input and multiple output radar.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"12 1","pages":"13-16"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85872252","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}
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