Fault diagnosis has always been an essential aspect of control system design. This is necessary due to the growing demand for increased performance and safety of industrial systems is discussed. Support vector machine classifier is a new technique based on statistical learning theory and is designed to reduce structural bias. Support vector machine classification in many applications in v...

Anti-Friction Bearing (AFB) is a very important machine component and its unscheduled failure leads to cause of malfunction in wide range of rotating machinery which results in unexpected downtime and economic loss. In this paper, ensemble machine learning techniques are demonstrated for the detection of different AFB faults. Initially, statistical features were extracted from temporal vibratio...

Prediction of heart disease is very important because it is one of the causes of death around the world. Moreover, heart disease prediction in the early stage plays a main role in the treatment and recovery disease and reduces costs of diagnosis disease and side effects it. Machine learning algorithms are able to identify an effective pattern for diagnosis and treatment of the disease and ident...

In this paper, we describe the implementation of the Audit Control Environment (ACE)[1] system that provides a scalable, auditable platform for ensuring the integrity of digital archival holdings. The core of ACE is a small integrity token issued for each monitored item, which is part of a larger, externally auditable cryptographic system. Two components that describe this system, an Audit Mana...

Today’s business climate requires organizations to constantly evolve IT strategies to respond to new opportunities or threats. Tracking the achievement of business goals, objectives and strategies is increasingly used to measure and adjust the outcome of business processes. In this paper, we introduce a web service based approach for probing WSBPEL processes. With our approach, organizations ar...

Introduction: Visual evoked potentials contain certain diagnostic information which have proved to be of importance in the visual systems functional integrity. Due to substantial decrease of amplitude in extra macular stimulation in commonly used pattern VEPs, differentiating normal and abnormal signals can prove to be quite an obstacle. Due to developments of use of machine l...

With the rapid growth of blockchain market, privacy and security issues for digital assets are becoming more important. In most widely used public blockchains, such as Bitcoin Ethereum, all activities on user accounts publicly disclosed, which violates regulations EU GDPR. Encryption transactions may protect privacy, but it also raises validity transparency. While encrypted information can cann...