Papers by Vikash Kumar (B21ME072)
Semantic Policy-Based Data Management for Energy Efficient Smart Buildings
Lecture Notes in Computer Science, 2012
ABSTRACT We describe how the semantics can be applied to the smart buildings, with the goal of ma... more ABSTRACT We describe how the semantics can be applied to the smart buildings, with the goal of making them more energy efficient. Having designed and im-plemented a semantically enabled smart building system, we discuss and evalu-ate the typical data management challenges connected with the implementation, extension and (re-)use of such system when employing them in the real build-ings. The results demonstrate a clear benefit from semantic technologies for in-tegration, efficient rule application and data processing and reuse purposes, as well as for alignment with external data such as tariffs, weather data, statistical data, data from other similar smart home systems. We outline the typical data management operations needed in the real life smart building system deploy-ment, and discuss their implementation aspects.
Informatik-Spektrum, 2012
As the urgent need for efficient and sustainable energy usage becomes ever more apparent, interes... more As the urgent need for efficient and sustainable energy usage becomes ever more apparent, interest in Smart Homes is on the rise. The SESAME-S project (SEmantic SmArt Metering-Services for Energy Efficient Houses) uses semantically linked data to actively assist end-consumers in making well-informed decisions and controlling their energy consumption. By integrating smart metering and home automation functionality, SESAME-S works to effectively address the potential mass market of end consumers with an easily customizable solution that can be widely implemented in domestic or business environments, with an expected savings of over 20% from the total energy bill. The developed system is a basis for conceptualizing, demonstrating and evaluating a variety of innovative end consumer services and their user interface paradigms. In this paper, we present the SESAME-S system as a whole and discuss the semantically-enabled services, demonstrating that such systems may have broad acceptance in the future. The data obtained through such systems will be invaluable for future global energy efficiency strategies and businesses.
Proceedings of International Conference on Information Integration and Web-based Applications & Services, 2013
This paper presents a semantic policy adaptation technique and its applications in the context of... more This paper presents a semantic policy adaptation technique and its applications in the context of smart building setups. We study how semantic rules which are created for one set of contextual conditions are affected when one of the context parameters changes. In particular, rules for triggering alerts and monitoring appliances and their adaptation with changing contexts have been studied in detail. We then describe how this changing context triggers changes in other related context parameters. This technique has been implemented to demonstrate its feasibility, evaluated and positively accepted during trials with users of a real-life semantically empowered smart building setup.
End-user interfaces for energy-efficient semantically enabled smart homes
Energy Efficiency, 2014
Wi-Pi
Proceedings of the AINTEC 2014 on Asian Internet Engineering Conference - AINTEC '14, 2014
This paper proposes "Wi-Pi" that enables low-cost and distributed assessment of Wi-Fi p... more This paper proposes "Wi-Pi" that enables low-cost and distributed assessment of Wi-Fi performance in an enterprise network. The cost of assessment of Wi-Fi signal quality is still expensive and its continuity of the monitoring is not guaranteed. The number of monitoring devices such as spectrum analyzer is limited, and they will not stay at one place to monitor the entire Wi-Fi coverage under geographically distributed deployment. Monitoring feature of Wi-Fi signal at production-level access points does not reflect the actual situation of clients. Wi-Pi is a low-cost and stationary solution that distributes multiple Raspberry Pis in an enterprise network for monitoring Wi-Fi signal quality and network performance such as packet loss and latency. Taking the advantage of reasonable cost of Raspberry Pi, Wi-Pi collects client-side Wi-Fi performance information and visualizes it as a geographical heat map. Prototype implementation of Wi-Pi has been deployed to cover a small part of the campus network in Indian Institute of Technology Hyderabad. The aim of this paper is to make Wi-Fi monitoring to be low-cost, open source and deployable.
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Papers by Vikash Kumar (B21ME072)