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International Journal of Applied Systemic Studies最新文献

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The need for systemic analysis and design methodology of medical equipments 医疗设备系统分析和设计方法的必要性
International Journal of Applied Systemic Studies Pub Date : 2018-05-22 DOI: 10.1504/IJASS.2018.10013104
M. Lakhoua
{"title":"The need for systemic analysis and design methodology of medical equipments","authors":"M. Lakhoua","doi":"10.1504/IJASS.2018.10013104","DOIUrl":"https://doi.org/10.1504/IJASS.2018.10013104","url":null,"abstract":"The diversity of the medical equipments in hospital systems requires a structured analysis and design methodology in order to get perceptions and correct understandings of the internal working of these equipments. Indeed, medical equipments are intended to help the diagnosis and the medical problem treatment. They are conceived in general according to rigorous rules of security. Then, we identify various the basis types of the medical equipments: diagnosis, therapeutic, vital, monitors and laboratory equipments. To answer to this problem, the proposed methodology is based on the use of a systemic modelling approach in order to analysis and design medical equipments. This is why it is necessary to identify the rigorous security rules of various medical equipments as well as all the technical aspects related to the conception and the development of systems based on electronics and data processing.","PeriodicalId":39029,"journal":{"name":"International Journal of Applied Systemic Studies","volume":"8 1","pages":"76"},"PeriodicalIF":0.0,"publicationDate":"2018-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46538804","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}
引用次数: 13
A novel method combining fuzzy SVM and sampling for imbalanced classification 一种模糊支持向量机与抽样相结合的不平衡分类新方法
International Journal of Applied Systemic Studies Pub Date : 2018-05-22 DOI: 10.1504/IJASS.2018.10012176
Tao Ma, Ying Hou, Jianjun Cheng, Xiaoyun Chen
{"title":"A novel method combining fuzzy SVM and sampling for imbalanced classification","authors":"Tao Ma, Ying Hou, Jianjun Cheng, Xiaoyun Chen","doi":"10.1504/IJASS.2018.10012176","DOIUrl":"https://doi.org/10.1504/IJASS.2018.10012176","url":null,"abstract":"The class imbalance problem has been reported to reduce performance of many existing learning algorithms in intrusion detection. However, the detection rates for minority classes still need to be improved. Thus, the novel hybrid method FSVMs is proposed to solve the problem in the paper, which integrates the prevailing sampling method SMOTE with fuzzy semi-supervised SVM learning approach to class imbalanced intrusion detection data. The basic KDD Cup 1999 dataset, NSLKDD dataset and imbalanced dataset from UCI are used to evaluate the performance of proposed model. Experiment results show that the proposed method outperforms other state-of-the-art classifiers including support vector machine (SVM), back propagation neural network (BPNN), Bayes, k-nearest neighbour (KNN), decision tree (DT), random forest (RF) and four sampling methods in the aspects of detection rate and false alarm rate, and has better robustness for imbalanced classification.","PeriodicalId":39029,"journal":{"name":"International Journal of Applied Systemic Studies","volume":"8 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2018-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48645783","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}
引用次数: 1
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