Determining the critical factors affecting antenatal visits will greatly contribute to reducing maternal and infant mortality. This study, thus attempted to construct a cluster-based predictive model to determine the ...
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WS-Policy4MASC is an XML language for specification of policies for run-time Web service management (monitoring and control) activities executed by the Manageable and Adaptable Services Compositions (MASC) middleware....
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ISBN:
(纸本)9780769528915
WS-Policy4MASC is an XML language for specification of policies for run-time Web service management (monitoring and control) activities executed by the Manageable and Adaptable Services Compositions (MASC) middleware. Among its original contributions are specfication of diverse business values (benefits or costs, tangible or intangible, agreed or possible, absolute or relative) and specification of various control strategies maximizing different business values (e.g., only agreed intangible benefits). To facilitate development of Web service systems that can be managed with WS-Policy4MASC and the MASC middleware and to improve alignment between run-time management activities and design-time models, we developed novel UML profiles for WS-Policy4MASC. Their original contributions are in improved support for: a) specification of run-time management activities and business values within design-time models, b) automatic creation of run-time management policies from design-time models, c) feedback of run-time management information values into analysis of design-time models. We validated our solutions on detailed examples.
Image encryption is a specialized subfield of cryptography, distinguished by the high correlation between neighboring pixels, which necessitates unique approaches to disrupt this correlation. While all encryption appr...
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This paper investigates the effectiveness of a new forward Riccati-based time-frequency control law for linear time varying (LTV) systems. The synthesis method is based on a forward Riccati differential equation formu...
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ISBN:
(纸本)9781538629048
This paper investigates the effectiveness of a new forward Riccati-based time-frequency control law for linear time varying (LTV) systems. The synthesis method is based on a forward Riccati differential equation formulated in wavelet domain. The control feedback gains derived are time-frequency dependent and are varying in time for each wavelet scale or frequency band. The gains are functions of the present and past states. Hence, this nonlinear controller does not require information or approximation about future system matrices or states. The proposed controller is suitable for systems with time varying system matrices and also for controlling transient dynamics. Two numerical examples demonstrate promising results on the performance of the proposed control algorithm.
Arbitrary public announcement logic (APAL) is an extension of multi-agent epistemic logic that allows agents' knowledge states to be updated by the public announcement of (possibly arbitrary) epistemic formulae. I...
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Plant pests and diseases have always been an important factor affecting agricultural production, and how to automatically identify them is one of the current research hotspots. Although traditional deep learning model...
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The user data stored in remote server should be assured intact. Remote data integrity checking scheme (RDIC) allows a third party auditor (TPA) to examine the integrity of data in cloud server. As we know, the user au...
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With the spread of smart devices, the use of big data, and the proliferation of the Internet of Things, virtualization technology for cloud servers have become important worldwide. Also, research has been conducted to...
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One limitation that still exists for the use of ontologies in pervasive and ambient intelligence environments is the performance of the reasoning task, which can slow down the use of an application and make a solution...
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In higher education,the initial studying period of each course plays a crucial role for students,and seriously influences the subsequent learning ***,given the large size of a course’s students at universities,it has...
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In higher education,the initial studying period of each course plays a crucial role for students,and seriously influences the subsequent learning ***,given the large size of a course’s students at universities,it has become impossible for teachers to keep track of the performance of individual *** this circumstance,an academic early warning system is desirable,which automatically detects students with difficulties in learning(i.e.,at-risk students)prior to a course ***,previous studies are not well suited to this purpose for two reasons:1)they have mainly concentrated on e-learning platforms,e.g.,massive open online courses(MOOCs),and relied on the data about students’online activities,which is hardly accessed in traditional teaching scenarios;and 2)they have only made performance prediction when a course is in progress or even close to the *** this paper,for traditional classroom-teaching scenarios,we investigate the task of pre-course student performance prediction,which refers to detecting at-risk students for each course before its *** better represent a student sample and utilize the correlations among courses,we cast the problem as a multi-instance multi-label(MIML)***,given the problem of data scarcity,we propose a novel multi-task learning method,i.e.,MIML-Circle,to predict the performance of students from different specialties in a unified *** experiments are conducted on five real-world datasets,and the results demonstrate the superiority of our approach over the state-of-the-art methods.
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