Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

Applications of machine learning to machine fault diagnosis: A review and roadmap

A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load

A review on data-driven fault severity assessment in rolling bearings

Each copy of a text document can be made different in a nearly invisible way by repositioning or modifying the appearance of different elements of text, i.e., lines, words, or characters. A unique copy can be registered with its recipient, so that subsequent unauthorized copies that are retrieved can be traced back to the original owner. In this paper we describe and compare several mechanisms for marking documents and several other mechanisms for decoding the marks after documents have been subjected to common types of distortion. The marks are intended to protect documents of limited value that are owned by individuals who would rather possess a legal than an illegal copy if they can be distinguished. We will describe attacks that remove the marks and countermeasures to those attacks. An architecture is described for distributing a large number of copies without burdening the publisher with creating and transmitting the unique documents. The architecture also allows the publisher to determine the identity of a recipient who has illegally redistributed the document, without compromising the privacy of individuals who are not operating illegally. Two experimental systems are described. One was used to distribute an issue of the IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, and the second was used to mark copies of company private memoranda.

Copyright protection for the electronic distribution of text documents : Identification and protection of multimedia information

Roller element bearing fault diagnosis using singular spectrum analysis

In wireless sensor network (WSN), position awareness (localization) of the sensor nodes is necessary to exploit the communication and to provide the meaningful information about their surroundings. Here Received Signal Strength Indicator (RSSI) technique is used as it requires no extra hardware and can be used for both indoor and outdoor environment. RSSI is having limitations such as high randomness due to fading and shadowing. This makes difficulties in establishing exact relationship between RSSI value and distance. In this paper we propose the method of creating database by using Split Range Technique (SRT) to estimate the approximate distance between two nodes. Using this database, position estimation has been done. For this Adaptive n-Triangle algorithm is implemented. Present results of RSSI shows the approximate positioning of the sensor node with the error estimation of about 5–10%. The experiment can be extended to show the predicted path of a moving object which is being identified by sensors.

Experimental analysis of RSSI for distance and position estimation

A Knowledge Management Maturity Model is a structured approach for implementing Knowledge Management. Many practitioners and researchers have developed Knowledge Management Maturity Models, which have different forms, structure and characteristics. Despite the availability of many models, a comprehensive framework that can represent different perspectives and provide a holistic picture of Knowledge Management Maturity Model is not found in literature. This paper attempts to fill this gap by developing a morphological framework of Knowledge Management Maturity Model through literature survey and analysis.

Knowledge management maturity models - a morphological analysis

Wireless sensor networks can be termed as a new generation of distributed embedded systems that has a capability of meeting broad range of real-time applications. Examples include radiation monitoring, fire monitoring, border surveillance, and medical care to name but a few. Wireless sensor networks that are deployed in time/mission-critical applications with highly dynamic environments have to interact with the physical phenomenon under stringent timing constraints and severe resource limitations. For such real-time wireless sensor networks, designing and developing a real-time routing protocol that meets the required real-time guarantee of data packets communication is a stimulating field of study that raised many challenges and research issues. In this paper, we present a comprehensive survey of real-time routing protocols in WSN, by discussing each protocol with its key features. Finally, we concluded this paper with open research issues and challenges of real-time routing in WSN.

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Real -time routing protocols for wireless sensor networks : a survey

This paper presents the throughput results obtained from a Wireless Sensor Network testbed, with single and multiple sources in different network deployments and routing architectures. The experimental testbed deployed at IIT Madras consisted of commercially available Crossbow TelosB and MicaZ nodes and a custom-built sensor node based on the DigiNet Xbee chip, with all nodes implementing the Zigbee standard. The networks were deployed in uniform grid topologies in three different deployments with up to 228 nodes. The main aim of the experiments is to analyze the throughput and packet delivery ratio observed with single and multiple sources. The experimental results show that delivery ratio reduces with increase in data rate due to collisions and help characterise the network capacity limits.

S.A.V. Satya Murty

Papers

Roller element bearing fault diagnosis using singular spectrum analysis

Experimental analysis of RSSI for distance and position estimation

Knowledge management maturity models - a morphological analysis

Real -time routing protocols for wireless sensor networks : a survey

Testbed based throughput analysis in a Wireless Sensor Network