Current urban water research involves intelligent sensing, systems integration, proactive users and datadriven management through advanced analytics. The convergence of building information modeling with the smart water field provides an opportunity to transcend existing operational barriers. Such research would pave the way for demand-side management, active consumers, and demand-optimized net...

The next decade will see a deep transformation of industrial applications by big data analytics, machine learning and the internet of things. Industrial applications have a number of unique features, setting them apart from other domains. Central for many industrial applications in the internet of things is time series data generated by often hundreds or thousands of sensors at a high rate, e.g...

Traditional agriculture is facing numerous serious issues such as climate variation, population rise, water scarcity, soil degradation, and food security many more. Though, Aquaponics a promising solution, research on building an economically feasible smart system still challenge. In this paper, sustainable using Internet of Things (IOT) Data Analytics proposed. The acquired data from sensors P...

Information and Communication Technology (ICT) provides two-way communication, data storing and analysis, sensing and system monitoring, and intelligence such as historical and predictive analytics. Today’s Energy Smart Grid initiative proposes a highly decentralized and flexible energy supply and distribution by taking advantage of ICT infrastructures. In contrast, many water utilities do not ...

The fusion of information from disparate sources of data is the key step in devising strategies for a smart analytics platform. In the context of the application of analytics in the process industry, this paper provides a framework for seamless integration of information from process and alarm databases complimented with process connectivity information. The discovery of information from such d...

The latest industrial revolution is manifested by smart and networking equipment. Realizing the full value of these machineries, and other business assets, has become increasingly important. Strategic asset management faces managerial, technical as well as methodological challenges, of which some could be reduced or overcome by applying technological solutions such as Internet of things, cloud ...

The rapid growth of sensing devices has opened up complex event processing (CEP) for real-time analytics in Internet of Things (IoT) Applications. While CEP has traditionally been centralized, the increasing capabilities of edge devices like smart phones, and the operational needs of low latency and privacy makes it desirable to use both edge and the Cloud for distributed CEP, the former often ...