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RISS 인기검색어
- 검색키워드
- 저자 : ( Cemal Aktürk ) (검색결과 2 건)
- 무료
- 기관 내 무료
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A Decision Making Model Proposal for Firewall Selection
( Cemal Aktürk ),( Ceren Cubukcu ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.10
Covid-19 pandemic required all the world to use internet more actively. As a result, individuals and businesses are more open to digital threats. In order to provide security within the network, firewalls should be used. Firewalls act as a gateway between the corporate and the external networks. Therefore, it is more important than ever to choose the right firewall for each network. In this study, a new linear decision making model is proposed in order to find out the most suitable firewall and the estimates are completed according to this new model. Also, this model is compared with multi-objective optimization on the basis of ratio analysis (MOORA) method. This study distinguishes from other studies by proposing a new solution which ranks the firewall alternatives using linear and MOORA approaches. These approaches are used in many fields before but not in information technologies. Thus, this study can be considered quite innovative in terms of the problem it handles and the approaches used. It offers up-to-date and practical suggestions related to a decision making problem that has not been previously studied in the literature.
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Comparison of four malignancy risk indices in the detection of malignant ovarian masses
Erhan Aktürk,Rıza Efendi Karaca,İbrahim Alanbay,Murat Dede,Emre Karaşahin,Müfit Cemal Yenen,İskender Başer 대한부인종양학회 2011 Journal of Gynecologic Oncology Vol.22 No.3
Objective: The aim of this study was to evaluate the ability of four risk of malignancy indices (RMI) to detect malignant ovarian tumors. Methods: This is a prospective study of 100 women admitted to the Department of Obstetrics and Gynecology of Gulhane Military Medicine Academy for surgical exploration of pelvic masses. To diagnose malignant ovarian tumors, the sensitivity, specificity, negative and positive predictive values and diagnostic accuracy of four RMIs (RMI 1, RMI 2, RMI 3, and RMI 4) were obtained. Results: In our study we found that there is no statistically significant difference in the performance of four different RMIs in discriminating malignancy. We think that malignancy risk indices is more reliable than the menopausal status, serum CA-125 levels, ultrasound features and tumor size separately in detecting malignancy. Conclusion: We concluded that any of the four malignancy risk indices described can be used for selection of cases for optimal therapy. These methods are simple techniques that can be used even in less-specialized gynecology clinics to facilitate the selection of cases for referral to an oncological unit. Objective: The aim of this study was to evaluate the ability of four risk of malignancy indices (RMI) to detect malignant ovarian tumors. Methods: This is a prospective study of 100 women admitted to the Department of Obstetrics and Gynecology of Gulhane Military Medicine Academy for surgical exploration of pelvic masses. To diagnose malignant ovarian tumors, the sensitivity, specificity, negative and positive predictive values and diagnostic accuracy of four RMIs (RMI 1, RMI 2, RMI 3, and RMI 4) were obtained. Results: In our study we found that there is no statistically significant difference in the performance of four different RMIs in discriminating malignancy. We think that malignancy risk indices is more reliable than the menopausal status, serum CA-125 levels, ultrasound features and tumor size separately in detecting malignancy. Conclusion: We concluded that any of the four malignancy risk indices described can be used for selection of cases for optimal therapy. These methods are simple techniques that can be used even in less-specialized gynecology clinics to facilitate the selection of cases for referral to an oncological unit.
ScienceON
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