Pub Date : 1900-01-01DOI: 10.1007/978-3-319-11310-4_35
N. Semary, A. Tharwat, Esraa Elhariri, A. Hassanien
{"title":"Fruit-Based Tomato Grading System Using Features Fusion and Support Vector Machine","authors":"N. Semary, A. Tharwat, Esraa Elhariri, A. Hassanien","doi":"10.1007/978-3-319-11310-4_35","DOIUrl":"https://doi.org/10.1007/978-3-319-11310-4_35","url":null,"abstract":"","PeriodicalId":129583,"journal":{"name":"IEEE Conf. on Intelligent Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121980721","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 : 1900-01-01DOI: 10.1007/978-3-319-11310-4_62
D. Sánchez, P. Melin, O. Castillo
{"title":"Fuzzy System Optimization Using a Hierarchical Genetic Algorithm Applied to Pattern Recognition","authors":"D. Sánchez, P. Melin, O. Castillo","doi":"10.1007/978-3-319-11310-4_62","DOIUrl":"https://doi.org/10.1007/978-3-319-11310-4_62","url":null,"abstract":"","PeriodicalId":129583,"journal":{"name":"IEEE Conf. on Intelligent Systems","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124872946","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 : 1900-01-01DOI: 10.1007/978-3-319-11310-4_56
M. Tahoun, Abd El Rahman Shabayek, R. Reulke, A. Hassanien
{"title":"Co-registration of Satellite Images Based on Invariant Local Features","authors":"M. Tahoun, Abd El Rahman Shabayek, R. Reulke, A. Hassanien","doi":"10.1007/978-3-319-11310-4_56","DOIUrl":"https://doi.org/10.1007/978-3-319-11310-4_56","url":null,"abstract":"","PeriodicalId":129583,"journal":{"name":"IEEE Conf. on Intelligent Systems","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123982603","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 : 1900-01-01DOI: 10.1007/978-3-319-11310-4_66
Y. Awad, A. Abdullah, T. Y. Bayoumi, K. Abd-Elsalam, A. Hassanien
{"title":"Early Detection of Powdery Mildew Disease in Wheat (Triticum aestivum L.) Using Thermal Imaging Technique","authors":"Y. Awad, A. Abdullah, T. Y. Bayoumi, K. Abd-Elsalam, A. Hassanien","doi":"10.1007/978-3-319-11310-4_66","DOIUrl":"https://doi.org/10.1007/978-3-319-11310-4_66","url":null,"abstract":"","PeriodicalId":129583,"journal":{"name":"IEEE Conf. on Intelligent Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132659896","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 : 1900-01-01DOI: 10.1007/978-3-319-11313-5
M. Szymczak, A. Bronselaer, S. Zadrożny, G. Tré
{"title":"Intelligent Systems'2014 - Proceedings of the 7th International Conference Intelligent Systems IEEE IS'2014, September 24-26, 2014, Warsaw, Poland, Volume 1: Mathematical Foundations, Theory, Analyses","authors":"M. Szymczak, A. Bronselaer, S. Zadrożny, G. Tré","doi":"10.1007/978-3-319-11313-5","DOIUrl":"https://doi.org/10.1007/978-3-319-11313-5","url":null,"abstract":"","PeriodicalId":129583,"journal":{"name":"IEEE Conf. on Intelligent Systems","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131669108","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 : 1900-01-01DOI: 10.1007/978-3-319-11310-4_46
Alexander Shvets
{"title":"A Method of Automatic Detection of Pseudoscientific Publications","authors":"Alexander Shvets","doi":"10.1007/978-3-319-11310-4_46","DOIUrl":"https://doi.org/10.1007/978-3-319-11310-4_46","url":null,"abstract":"","PeriodicalId":129583,"journal":{"name":"IEEE Conf. on Intelligent Systems","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128614714","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 : 1900-01-01DOI: 10.1007/978-3-319-11310-4_13
P. Bigaj, J. Bartoszek
{"title":"Low Time Complexity Collision Avoidance Method for Autonomous Mobile Robots","authors":"P. Bigaj, J. Bartoszek","doi":"10.1007/978-3-319-11310-4_13","DOIUrl":"https://doi.org/10.1007/978-3-319-11310-4_13","url":null,"abstract":"","PeriodicalId":129583,"journal":{"name":"IEEE Conf. on Intelligent Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128196448","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 : 1900-01-01DOI: 10.1007/978-3-319-11313-5_57
M. Krawczak, G. Szkatula
{"title":"Generalized Net Description of Essential Attributes Generator in SEAA Method","authors":"M. Krawczak, G. Szkatula","doi":"10.1007/978-3-319-11313-5_57","DOIUrl":"https://doi.org/10.1007/978-3-319-11313-5_57","url":null,"abstract":"","PeriodicalId":129583,"journal":{"name":"IEEE Conf. on Intelligent Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114084682","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}
M. D. Kaoutoing, R. H. Ngouna, O. Pantalé, T. Beda
The choice of appropriate cutting conditions is widely acknowledged as a key performance indicator for efficient machining, since it allows to mitigate tools wear. In precision machinery, tool wear can indeed lead to poor surface quality and even affect the dimensions of the final product. In such a context, the cutting and feed forces, along with other parameters are affected and are not optimal. It is therefore necessary to detect any anomaly and provide the operators in the plant with a decision support, allowing to monitor the machining conditions in order to predict the outputs values and anticipate the wear's damage on the whole cutting process. In this article, cutting speed, cutting angle, cutting width and feed depth are the input parameters. Using the extended-Oxley analytical model of orthogonal metal cutting, a sample of cutting conditions has been simulated in order to analyze the optimality of the cutting force, the feed force and the internal temperature, based on the autoencoder method. Given a threshold for decision, the results allow to identify abnormal parameters and provide significant insights for operators, allowing them to avoid error and make the best choices of the inputs for optimal cutting conditions.
{"title":"Anomaly Detection in Orthogonal Metal Cutting based on Autoencoder Method","authors":"M. D. Kaoutoing, R. H. Ngouna, O. Pantalé, T. Beda","doi":"10.1109/IS.2018.8710535","DOIUrl":"https://doi.org/10.1109/IS.2018.8710535","url":null,"abstract":"The choice of appropriate cutting conditions is widely acknowledged as a key performance indicator for efficient machining, since it allows to mitigate tools wear. In precision machinery, tool wear can indeed lead to poor surface quality and even affect the dimensions of the final product. In such a context, the cutting and feed forces, along with other parameters are affected and are not optimal. It is therefore necessary to detect any anomaly and provide the operators in the plant with a decision support, allowing to monitor the machining conditions in order to predict the outputs values and anticipate the wear's damage on the whole cutting process. In this article, cutting speed, cutting angle, cutting width and feed depth are the input parameters. Using the extended-Oxley analytical model of orthogonal metal cutting, a sample of cutting conditions has been simulated in order to analyze the optimality of the cutting force, the feed force and the internal temperature, based on the autoencoder method. Given a threshold for decision, the results allow to identify abnormal parameters and provide significant insights for operators, allowing them to avoid error and make the best choices of the inputs for optimal cutting conditions.","PeriodicalId":129583,"journal":{"name":"IEEE Conf. on Intelligent Systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114428694","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：