نتایج جستجو برای: non intrusive prediction
تعداد نتایج: 1547877 فیلتر نتایج به سال:
nowadays in trade and economic issues, prediction is proposed as the most important branch of science. existence of effective variables, caused various sectors of the economic and business executives to prefer having mechanisms which can be used in their decisions. in recent years, several advances have led to various challenges in the science of forecasting. economical managers in various fi...
This paper presents a novel architecture for digital identity management. The proposed architecture is highly secure and scales seamlessly across organizational boundaries, while at the same time protecting the privacy interests of individuals and organizations. To achieve these properties, the architecture heavily relies on Digital Credentials, a cryptographic authentication technology specifi...
Available security solutions often are not widely used because the associated secure applications are awkward to use or they lack functionality when compared to standard insecure tools. To avoid this dicothomy, we developed a non-intrusive (or external) clientserver authentication framework which requires no modi cation to both the clients and the servers. In this way, full featured clients can...
Non-Intrusive Load Monitoring (NILM) is a technique that determines the load composition of a household through a single point of measurement at the main power feed. Here we presented an unsupervised approach to determine the number of appliances in the household, their power consumption and the state of each one at any given moment.
This paper presents a novel method for modeling the one-way quality prediction of VoIP, non-intrusively. Intrusive measures of voice quality suffer from common deficiency that is the need of reference signal for evaluating the quality of voice. Owing to this lack, a great deal of effort has been recently devoted for modeling voice quality prediction non-intrusively according to quality degradat...
Recent research in non-intrusive data-driven model order reduction (MOR) enabled accurate and efficient approximation of parameterized ordinary differential equations (ODEs). However, previous studies have focused on constant parameters, whereas time-dependent parameters been neglected. The purpose this paper is to introduce a novel two-step MOR scheme tackle issue. In first step, classic appro...
driver drowsiness has been one of the main causes of on-road crashes which can lead to death, physical injuries and impose significant costs on the societies. the development of non-intrusive methods to be able to detect driver drowsiness in the early stages of drowsiness is great of importance. this is an educational review and its purpose is to provide recent achievements about non-intrusive ...
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