{"title":"An Intelligent Access Control Model","authors":"Shadha Mohamed AlAmri","doi":"10.5772/INTECHOPEN.95459","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.95459","url":null,"abstract":"Cybersecurity is a critical issue as the world is moving towered IR4 era (Industrial Revaluation 4.0) where technology is involved, and access to the internet is an imperative need. The traditional computing systems are not able to meet the huge computing demand and growing data (Big-Data). Therefore; new technologies have been evolved such as cloud computing. This chapter is exploring the need for a dynamic access control approach to enhance the Cybersecurity. The scope in this chapter is focusing on IaaS (Infrastructure as a Service) layer of cloud computing. The research approach aims to enhance the basic ABAC (Attribute-Based Access Control) model by adding a context-aware feature and SoD principle. The enhanced model called ABACsh. This proposed enhancement is implemented through a framework based on AI (Artificial Intelligent) to meet the requirements of dynamic systems. The framework is tested in the OpenStack testbed. The results show better performance in the term of computation speed.","PeriodicalId":194972,"journal":{"name":"Quality Control - Intelligent Manufacturing, Robust Design and Charts","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133281785","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}
{"title":"Optimized Portfolios: All Seasons Strategy","authors":"Raúl Navas, S. Bentes, H. Navas","doi":"10.5772/intechopen.95122","DOIUrl":"https://doi.org/10.5772/intechopen.95122","url":null,"abstract":"Our study explores the efficient frontier of optimal investment, taking behind the Markowitz’s theory, while advocating a diversified portfolio to reduce risk. To perform it, six portfolio models are proposed, and its formation are made by a solver, where the selected solving method is the GRG Nonlinear engine for linear solver problems. Our main goal is to design portfolios that resists to financial crisis but at the same time persists in a wealthy period. We analyze the decade where we assisted to two crashes (2000–2010) and a semi-decade where we assist to a wealthy period (2011–2018). The assets used are varied, such as Equities indexes form various countries, sector equities, bonds, commodities, EURUSD exchange and VIX. Results show that the GRG Nonlinear engine is powerful, providing excess returns in all six models.","PeriodicalId":194972,"journal":{"name":"Quality Control - Intelligent Manufacturing, Robust Design and Charts","volume":"4 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120808390","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}
{"title":"Influence of Injection Molding Parameters on the Mechanical Properties of Injected PC/ABS Parts","authors":"Fatma Hentati, N. Masmoudi","doi":"10.5772/intechopen.95089","DOIUrl":"https://doi.org/10.5772/intechopen.95089","url":null,"abstract":"This study optimized the influence of process parameters on the mechanical properties during injection molding (IM) of PC/ABS blend. The Taguchi method of design of experiments (DOE) was employed to optimize the process parameters and to increase the tensile strength and the elasticity module. Taguchi’s L9 (34) orthogonal array design was employed for the experimental plan. Process parameters of the injection molding such as material temperature, injection pressure, holding time, and mold temperature were studied with three levels. The Signal to noise (S/N) ratio for mechanical properties of PC/ABS blend using the Taguchi method was calculated. Taguchi’s results proposed two sets of optimal injection parameters conditions to achieve the best mechanical characteristics (σ, E). The (S/N) ratio results proved that the injection pressure was the more prominent than the other IM process parameters for the tensile strength, and the material temperature was the more prominent for the elasticity module.","PeriodicalId":194972,"journal":{"name":"Quality Control - Intelligent Manufacturing, Robust Design and Charts","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127662000","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}
{"title":"Simulation-Based Comparative Analysis of Nonparametric Control Charts with Runs-Type Rules","authors":"I. Triantafyllou","doi":"10.5772/intechopen.91040","DOIUrl":"https://doi.org/10.5772/intechopen.91040","url":null,"abstract":"In this chapter, we study well-known distribution-free Shewhart-type monitoring schemes based on order statistics. In order to empower the in- and out-of-control performance of the control charts being under consideration, several runs-type rules are enhanced. The simulation-based experimentation carried out reveals that the proposed schemes achieve remarkable efficiency for detecting possible shifts in the distribution of the underlying process.","PeriodicalId":194972,"journal":{"name":"Quality Control - Intelligent Manufacturing, Robust Design and Charts","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115394372","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}
{"title":"Combining Capability Indices and Control Charts in the Process and Analytical Method Control Strategy","authors":"A. Oliva, M. Llabrés","doi":"10.5772/intechopen.91354","DOIUrl":"https://doi.org/10.5772/intechopen.91354","url":null,"abstract":"Different control charts in combination with the process capability indices, Cp, Cpm and Cpk, as part of the control strategy, were evaluated, since both are key elements in determining whether the method or process is reliable for its purpose. All these aspects were analyzed using real data from unitary processes and analytical methods. The traditional x-chart and moving range chart confirmed both analytical method and process are in control and stable and therefore, the process capability indices can be computed. We applied different criteria to establish the specification limits (i.e., analyst/customer requirements) for fixed method or process performance (i.e., process or method requirements). The unitary process does not satisfy the minimum capability requirements for Cp and Cpk indices when the specification limit and control limits are equal in breath. Therefore, the process needs to be revised; especially, a greater control in the process variation is necessary. For the analytical method, the Cpm and Cpk indices were computed. The obtained results were similar in both cases. For example, if the specification limits are set at ±3% of the target value, the method is considered “satisfactory” (1.22","PeriodicalId":194972,"journal":{"name":"Quality Control - Intelligent Manufacturing, Robust Design and Charts","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125873037","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}
{"title":"Exponentially Weighted Moving Averages of Counting Processes When the Time between Events Is Weibull Distributed","authors":"R. Sparks, Hossein Hazrati-Marangaloo","doi":"10.5772/intechopen.90873","DOIUrl":"https://doi.org/10.5772/intechopen.90873","url":null,"abstract":"There are control charts for Poisson counts, zero-inflated Poisson counts, and over dispersed Poisson counts (negative binomial counts) but nothing on counting processes when the time between events (TBEs) is Weibull distributed. In our experience the in-control distribution for time between events is often Weibull distributed in applications. Counting processes are not Poisson distributed or negative binomial distributed when the time between events is Weibull distributed. This is a gap in the literature meaning that there is no help for practitioners when this is the case. This book chapter is designed to close this gap and provide an approach that could be helpful to those applying control charts in such cases.","PeriodicalId":194972,"journal":{"name":"Quality Control - Intelligent Manufacturing, Robust Design and Charts","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114225033","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}