Aiming at the problems of high feature mismatch rate and low matching efficiency in the current virtual image multi feature matching algorithm, a virtual image multi feature matching algorithm based on 3D scene reconstruction is proposed. Firstly, in the 3D scene reconstruction, the virtual image is preprocessed to eliminate the noise in the virtual image, avoid the noise interference in the compression process, and improve the signal-to-noise ratio of the image; Secondly, the de-noising virtual image is enhanced to enhance the details of the image; Finally, the corresponding information feature vector is constructed from the information features extracted from the virtual image, and the virtual image multi feature matching algorithm is completed. Experiments show that the multi feature matching rate of the designed algorithm is high, the error matching rate is low, the maximum spatial distortion rate is only 0.6%, and the compressed image quality and matching performance are good.
{"title":"Virtual image multi feature matching algorithm based on 3D scene reconstruction","authors":"Jun Yu, Zongren Chen, Xiaobo Jiang, Bo Wang","doi":"10.3233/jcm-226757","DOIUrl":"https://doi.org/10.3233/jcm-226757","url":null,"abstract":"Aiming at the problems of high feature mismatch rate and low matching efficiency in the current virtual image multi feature matching algorithm, a virtual image multi feature matching algorithm based on 3D scene reconstruction is proposed. Firstly, in the 3D scene reconstruction, the virtual image is preprocessed to eliminate the noise in the virtual image, avoid the noise interference in the compression process, and improve the signal-to-noise ratio of the image; Secondly, the de-noising virtual image is enhanced to enhance the details of the image; Finally, the corresponding information feature vector is constructed from the information features extracted from the virtual image, and the virtual image multi feature matching algorithm is completed. Experiments show that the multi feature matching rate of the designed algorithm is high, the error matching rate is low, the maximum spatial distortion rate is only 0.6%, and the compressed image quality and matching performance are good.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"17 2 1","pages":"1151-1163"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89958953","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}
Microwave vacuum drying of pineapple slices was carried out to investigate the microwave power degree on the drying kinetics and heat mass transfer characteristics. Numerical simulation and bench test were used to study the variation characteristic of microwave volumetric heating and temperature and moisture during the drying process, and the best drying model was selected. The result shows that the drying process of the pineapple slices belonged to the falling rate period without constant drying stage; Among 6 common thin layer drying kinetic models, the mean values of R2 were maximum, χ2 and RMSE for the Two-term exponential model were minimum, which were 0.9993, 0.000107 and 0.00839, respectively. As the temperature rose to 40∼45∘C at the late stage of drying, the thermal runaway phenomenon appeared, and the internal temperature of pineapple slices rose sharply. Hot spots appeared at the center and edge of pineapple at the late stage of drying, and it generated by microwave volumetric heating focusing. The predicted values of moisture ratio (MR) obtained from COMSOL simulation showed good consistency with the Two-term exponential model and the experimental. In order to improve the drying quality of the pineapple, the microwave power should be varied and reasonable interval to make the drying temperature lower than the thermal runaway temperature range.
{"title":"Drying kinetics and heat mass transfer characteristics of thin layer pineapple during microwave vacuum drying","authors":"Ying Zhou, Yongfu Liu, Qiang Li, Wenyan Fan, Xiaoli Pan, Wangxin Yu","doi":"10.3233/jcm-226758","DOIUrl":"https://doi.org/10.3233/jcm-226758","url":null,"abstract":"Microwave vacuum drying of pineapple slices was carried out to investigate the microwave power degree on the drying kinetics and heat mass transfer characteristics. Numerical simulation and bench test were used to study the variation characteristic of microwave volumetric heating and temperature and moisture during the drying process, and the best drying model was selected. The result shows that the drying process of the pineapple slices belonged to the falling rate period without constant drying stage; Among 6 common thin layer drying kinetic models, the mean values of R2 were maximum, χ2 and RMSE for the Two-term exponential model were minimum, which were 0.9993, 0.000107 and 0.00839, respectively. As the temperature rose to 40∼45∘C at the late stage of drying, the thermal runaway phenomenon appeared, and the internal temperature of pineapple slices rose sharply. Hot spots appeared at the center and edge of pineapple at the late stage of drying, and it generated by microwave volumetric heating focusing. The predicted values of moisture ratio (MR) obtained from COMSOL simulation showed good consistency with the Two-term exponential model and the experimental. In order to improve the drying quality of the pineapple, the microwave power should be varied and reasonable interval to make the drying temperature lower than the thermal runaway temperature range.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"79 1","pages":"1165-1178"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73908189","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}
CCHPs (Combined Cooling, Heating, and Power Systems) are capable of providing cold energy, heat, and electricity to users, allowing cascading utilization of energy and improving energy efficiency. The imbalance between cooling, heating, and electrical energy makes it difficult to accurately evaluate the performance of a CCHP system. Existing indices for evaluating the performance of the CCHP system do not account for the influence of time-sharing tariffs; therefore, the quantitative index of time-sharing is added and the time-sharing economic exergy efficiency of the radiator is established. Given that the electrical and thermal characteristics of the advanced absolutely hot compressed airheat storage system (AA-CAES) can complement the CCHP system, a model of the CCHP system with AA-CAES is established, which can be used to validate the validity of the quantitative evaluation index of time-sharing. A planetary search algorithm is proposed for solving the CCHP system model to address the multi-parameter solving characteristics of the CCHP system model and the disadvantages of the existing multi-objective optimization algorithms, which are prone to local optimality and poor optimization accuracy. Simulation validation demonstrates that the time-sharing economic exergy efficiency proposed in this paper can more accurately reflect the total energy consumption of the CCHP system than the existing evaluation indices. The performance of the CCHP system can be improved by using AA-CAES as a heat storage device.
{"title":"The analysis of time-sharing economic exergy efficiency of the CCHP system using planetary search algorithms","authors":"Shuqian Si, Z. Dou, Zichen Wang, J. Dong","doi":"10.3233/jcm-226745","DOIUrl":"https://doi.org/10.3233/jcm-226745","url":null,"abstract":"CCHPs (Combined Cooling, Heating, and Power Systems) are capable of providing cold energy, heat, and electricity to users, allowing cascading utilization of energy and improving energy efficiency. The imbalance between cooling, heating, and electrical energy makes it difficult to accurately evaluate the performance of a CCHP system. Existing indices for evaluating the performance of the CCHP system do not account for the influence of time-sharing tariffs; therefore, the quantitative index of time-sharing is added and the time-sharing economic exergy efficiency of the radiator is established. Given that the electrical and thermal characteristics of the advanced absolutely hot compressed airheat storage system (AA-CAES) can complement the CCHP system, a model of the CCHP system with AA-CAES is established, which can be used to validate the validity of the quantitative evaluation index of time-sharing. A planetary search algorithm is proposed for solving the CCHP system model to address the multi-parameter solving characteristics of the CCHP system model and the disadvantages of the existing multi-objective optimization algorithms, which are prone to local optimality and poor optimization accuracy. Simulation validation demonstrates that the time-sharing economic exergy efficiency proposed in this paper can more accurately reflect the total energy consumption of the CCHP system than the existing evaluation indices. The performance of the CCHP system can be improved by using AA-CAES as a heat storage device.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"101 1","pages":"2205-2224"},"PeriodicalIF":0.0,"publicationDate":"2023-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83706556","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 : 2023-03-31DOI: 10.5626/jcse.2023.17.1.20
Seung-Mo Jung
{"title":"A Study on the VLSI Implementation of Fingerprint Thinning Processors Using Hybrid GDI Technique","authors":"Seung-Mo Jung","doi":"10.5626/jcse.2023.17.1.20","DOIUrl":"https://doi.org/10.5626/jcse.2023.17.1.20","url":null,"abstract":"","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"2 1","pages":"20-29"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86036311","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 : 2023-03-31DOI: 10.5626/jcse.2023.17.1.1
Youli Chang, S. L’Yi, Young Taek Kim, Hyunjoo Song, Bohyoung Kim, Jinwook Seo
{"title":"Pharos: A Transparent and Steerable Visualization Recommendation System","authors":"Youli Chang, S. L’Yi, Young Taek Kim, Hyunjoo Song, Bohyoung Kim, Jinwook Seo","doi":"10.5626/jcse.2023.17.1.1","DOIUrl":"https://doi.org/10.5626/jcse.2023.17.1.1","url":null,"abstract":"","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"45 1","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77058174","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 : 2023-03-01DOI: 10.1109/mcse.2023.3298114
D. Rouson, K. Hinsen, Jeffrey Carver, I. Tezaur, J. Shalf, Rio Yokota, Anshuk Dubey
{"title":"The 2023 Society for Industrial and Applied Mathematics Conference on Computational Science and Engineering","authors":"D. Rouson, K. Hinsen, Jeffrey Carver, I. Tezaur, J. Shalf, Rio Yokota, Anshuk Dubey","doi":"10.1109/mcse.2023.3298114","DOIUrl":"https://doi.org/10.1109/mcse.2023.3298114","url":null,"abstract":"","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"71 1","pages":"41-43"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78710499","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 : 2023-03-01DOI: 10.1109/mcse.2023.3290926
Patrick Diehl, Rafael Ferreira da Silva
{"title":"Science Gateways: Accelerating Research and Education - Part II","authors":"Patrick Diehl, Rafael Ferreira da Silva","doi":"10.1109/mcse.2023.3290926","DOIUrl":"https://doi.org/10.1109/mcse.2023.3290926","url":null,"abstract":"","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"3 1","pages":"4-5"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90163004","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}
This paper uses a real-time anomaly attack detection based on improved variable length sequences and data mining. The method is mainly used for host-based intrusion detection systems on Linux or Unix platforms which use shell commands. The algorithm first generates a stream of command sequences with different lengths and subsumes them into a generic sequence library, de-duplicats and sortes shell command sequences. The shell command sequences are then stratified according to their weighted frequency of occurrence to define the state. Next, the behavioural patterns of normal users are mined to output the state stream and a Markov chain is constructed. Then, the state sequences are calculated based on a primary probability distribution and a transfer probability matrix. The System will check decision values of the short sequence stream. Finally, the decision values of the behavioural sequences are analysed to determine whether the current session user is behaving abnormally. The improved algorithm introduces the concept of multi-order frequencies and proposes a new separation mechanism. The extension module is integrated into the variable length model. By comparing the performance of the old and new separation mechanisms on the SEA dataset and the self-made dataset (SD), it is found that the improved model greatly improves the performance of the model and shortens the running time.
{"title":"Real-time anomaly attack detection based on an improved variable length model","authors":"Xiaomei Liu, Jian Yue","doi":"10.3233/jcm-226663","DOIUrl":"https://doi.org/10.3233/jcm-226663","url":null,"abstract":"This paper uses a real-time anomaly attack detection based on improved variable length sequences and data mining. The method is mainly used for host-based intrusion detection systems on Linux or Unix platforms which use shell commands. The algorithm first generates a stream of command sequences with different lengths and subsumes them into a generic sequence library, de-duplicats and sortes shell command sequences. The shell command sequences are then stratified according to their weighted frequency of occurrence to define the state. Next, the behavioural patterns of normal users are mined to output the state stream and a Markov chain is constructed. Then, the state sequences are calculated based on a primary probability distribution and a transfer probability matrix. The System will check decision values of the short sequence stream. Finally, the decision values of the behavioural sequences are analysed to determine whether the current session user is behaving abnormally. The improved algorithm introduces the concept of multi-order frequencies and proposes a new separation mechanism. The extension module is integrated into the variable length model. By comparing the performance of the old and new separation mechanisms on the SEA dataset and the self-made dataset (SD), it is found that the improved model greatly improves the performance of the model and shortens the running time.","PeriodicalId":14668,"journal":{"name":"J. Comput. Methods Sci. Eng.","volume":"1 1","pages":"1179-1195"},"PeriodicalIF":0.0,"publicationDate":"2023-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73116478","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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