service management, anomaly detection, Bayesian networks, online learning, fault and performance managementWe propose a general architecture and implementation for the autonomous assessment of health of arbitrary service elements, as a necessary prerequisite to self-control. We describe a health engine, the central component of our proposed 'Self-Awareness and Control' architecture. The health engine combines domain independent statistical analysis and probabilistic reasoning technology (Bayesian networks) with domain dependent measurement collection and evaluation methods. The resultant probabilistic assessment enables open, non-hierarchical communications about service element health. We demonstrate the validity of our approach using HP's corporate email service and detecting email anomalies: mail loops and a virus attack. We also present the results of applying on-line machine learning to this architecture and quantify the benefits of the Bayesian network layer. AbstractWe propose a general architecture and implementation for the autonomous assessment of health of arbitrary service elements, as a necessary prerequisite to selfcontrol. We describe a health engine, the central component of our proposed 'SelfAwareness and Control' architecture. The health engine combines domain independent statistical analysis and probabilistic reasoning technology (Bayesian networks) with domain dependent measurement collection and evaluation methods. The resultant probabilistic assessment enables open, non-hierarchical communications about service element health. We demonstrate the validity of our approach using HP's corporate email service and detecting email anomalies: mail loops and a virus attack. We also present the results of applying on-line machine learning to this architecture, and quantify the benefits of the Bayesian network layer.

In recent years, the IoT has emerged as the most promising technology in the key evolution of industry 4.0/industry 5.0, smart home automation (SHA), smart cities, energy savings and many other areas of wireless communication. There is a massively growing number of static and mobile IoT devices with a diversified range of speed and bandwidth, along with a growing demand for high data rates, which makes the network denser and more complicated. In this context, the next-generation communication technology, i.e., sixth generation (6G), is trying to build up the base to meet the imperative need of future network deployment. This article adopts the vision for 6G IoT systems and proposes an IoT-based real-time location monitoring system using Bluetooth Low Energy (BLE) for underground communication applications. An application-based analysis of industrial positioning systems is also presented.

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This study discusses the fact that there are a host of possible associations that a firm can build in a brand. Not all associations need to be built but rather those that directly or indirectly affect consumers' buying behaviour. The article identifies the associations in which the brands are positioned strongly and new associations for weaker or new brands to position themselves. The brand image has been studied using a technique called perceptual mapping, which can have any number of dimensions but the most common are two dimensions. Any more dimensions are a challenge to draw and confusing to interpret. Following that logic, the discriminant analysis of selected attributes that discriminate between objects is used. The brand Dettol is strongly positioned with the functional association of antiseptic nature and Lux with perfect fragrance. In the symbolic associations, Dove positioned itself as 'Popular among friends' and Cinthol for its 'Attractive name'. For experience association, Dove and Dettol are positioned as brands for 'more self-confidence' and Lux for 'Glowing skin'. The article helps in understanding the importance of brands and their features in evolving consumers' world. It analyzes the significance of brand image building and the value it adds to consumer brand perception and association. The study highlights the effect of brand associations in brand positioning by identifying new associations for weaker brands (repositioning) or new brands to position themselves.

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