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Energy efficiency and power crises are the critical issues that the globe is facing nowadays. Generation diversification, Demand Response, renewable energy accommodation, and reduction of Carbon dioxide emission are some of the issues that cannot be covered within the limitation of the current grid system. Smart Grid has revolutionized the generation, Distribution, and Consumption of electricity by...
As more and more information systems are moving to the cloud, there have been efforts to deploy publish-subscribe (or pub/sub) systems in the cloud environment to take advantage of the elasticity of resources. As a result, there is a need to perform resource management for the cloud-based pub/sub systems that support various types of jobs, each consists of a series of tasks, or a workflow. Designing...
Dealing with multiple requirement failures is an essential capability for self-adaptive software systems. This capability becomes more challenging in the presence of conflicting goals. This paper is concerned with the next adaptation problem: the problem of finding the best next adaptation in the presence of multiple failures. ‘Best’ here means that the adaptation chosen optimizes a given set of objective...
Network size and number of mobile users are ever-increasing with the advancements in cellular network technologies. Hence, this situation makes the network monitoring highly complex. Although there are numerous network tomography approaches, service providers need real-time network monitoring tools to provide better network utilization. In this paper, we propose a crowdsourcing-based real-time network...
The trend towards more and more efficient computing resources, yet preserving quality of service, is particularly relevant in datacenters and in cloud infrastructures, where a rigorous and adequate management of resources is performed. Resource monitoring, optimization criteria, adaptive mechanisms are being intensively studied from constantly improving efficiency and reducing the environmental impact...
Non-lossy compression can save time and energy during communication if the cost to compress and send input is less than the cost of sending it uncompressed. Unfortunately, compression can also degrade performance, no single method is always beneficial, and outcomes depend on many factors. As a result, compression choices in real systems are coarsely grained and manually controlled, resulting in suboptimal...
An energy-informatic-centric smart campus represents a viable structure addressing to different groups of users, like: students, teachers/educators, researchers and technical administrators, using information and communications technology system interface for accessing various services and requiring real time information regarding university buildings energy consumption and production, air quality...
This paper proposes an innovative strategy to optimize the energy metering in large and energy-consuming plants such as industrial flour mills. The proposed solution deals with ISO 50001 implementation which represents a critical challenge for many companies because the benefits due to improvements in energy management could be potentially canceled by the costs of an Energy Management System (EnMS)...
In this paper, an innovative methodology to monitor and optimize the behavior of low voltage electric distribution systems through optimized electric vehicles charging operations is presented. This work is aimed at promoting short-term improvements, showing that charging times of electric vehicles, that in many cases represent one of the major obstacles to the full spreading of electric mobility,...
In emergency scenarios such as earthquakes, fires, avalanches, or building collapses, it is necessary to discover people trapped under debris or anyway hidden from eyesight. In this paper, we propose RescuePal, an energy-efficient smartphone-based system that does not require any interaction by the victim and does not use energy-expensive GPS. RescuePal leverages a wake-up system based on sounds that...
The reduction of equipment variability of availability can significantly reduce cycle times, improve yields, reduce time-to-market and lower overall operational costs. Despite extensive efforts to reduce variability of availability, however, the execution of preventive maintenance (PM) is still one of the main sources of equipment variability of availability in the industry. In this paper, a model...
As dimensions shrink with each successive semiconductor technology node, the critical size of defects that can impact yield also shrinks. Monitoring the health of process equipment rigorously and regularly for key sources of contamination must be performed. Comparison of the critical feature size per technology node with the typical defectivity size used for process control shows a widening disparity...
This paper introduces algorithms of extracting log patterns from system logs in LARGE system. LARGE is a log analyzing framework deployed in the Scientific Computing Grid Environment in Chinese Academy of Sciences. In the process of monitoring systems logs, there is the need of obtaining patterns from log records, and set corresponding rules to deal with logs in certain patterns. Two algorithms named...
Multi-robot system has become the hot issue in the last decades because of its efficiency, robustness, scalability and global optimality. This work proposes a multi-robot patrol strategy for environment monitoring. First, we propose the function of patrol nodes generating under the circumstances of known probability distribution of emergency. Then we put forward the hierarchy immune clustering algorithm...
Modern Industrial Control Systems (ICS) integrate advanced solutions from the field of traditional IP networks, i.e., Software-Defined Networks (SDN), in order to increase the security and resilience of communication infrastructures. Despite their clear advantages, such solutions also expose ICS to common cyber threats that may have a dramatic impact on the functioning of critical infrastructures,...
Polarimetric Synthetic Aperture Radar (PolSAR) data is sensitive to physical structure of agricultural crops. In line with this fact radiative transfer theory based backscattering models have been used to explain the complicated interaction between electromagnetic waves and vegetation canopy. However, high degree of computational complexity of such models causes challenging inversion process. In this...
The general method of statistical diagnostics of irreversible avionics according to its actual condition, based on a martingale interpretation of the diagnostic process as a game with nature, is proposed. A general solution to the problem of determining the optimal moment of transition in statistical diagnostics is given. A design criterion since the switch to statistical diagnostics is made. The...
In wireless visual sensor networks comprised of multiple camera-enabled sensors, source prioritization can be exploited to soften the impact of congestion, packet loss and energy depletion when higher relevant packets are processed. However, for such optimizations, source nodes have to be properly prioritized according to some effective metric. When performing visual sensing over moving targets, sensors...
In this paper, we propose a novel 3D Underwater Wireless Sensor Network Deployment scheme for solid detection in rivers. Our objective is to minimize the number of deployed underwater sensors within a target field installation while ensuring i) the required Quality of Monitoring (QoM) (i.e., differentiated probabilistic detection) and ii) wireless network connectivity. To generate the best topology,...
Wireless sensor networks have become an attractive choice for many monitoring applications in an unattended setups; some of these applications such as pipeline, railroad and highways monitoring require the sensors to be placed in a linear topology. These sensors need to be placed as far apart while still maintaining a minimum required coverage in order to minimize the required node count and reduce...
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