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Mechanical systems operating in noisy environments create a challenging signal processing and monitoring problem especially in real-time. To detect a particular type of subsystem from noisy vibration data, it is necessary to identify signatures or particular features that make it unique. Resonant (modal) frequencies emitted during its normal operation satisfy this constraint. Monitoring structural...
Shell Exploration & Production Company is working with academic, non-profit, and federal stakeholders in the Gulf of Mexico to develop and implement long term environmental offshore monitoring programs. One such program, started in 2008 between Shell and the National Oceanic and Atmospheric Administration, has expanded to include new collaborators working together to operate multiple underwater...
We present Geographic Information System model, which is developed on the basis of metasystem approach and it is focused on application as monitoring system of complex object. The model is described on the basis of set-theoretic approach, functions according to scenarios, integrates, processes and monitors the space-time and coordinate information. The problem of acquisition and reversible compression...
Cyber-physical systems - systems that incorporate physical devices with cyber components - are appearing in diverse applications, and due to advances in data acquisition, are accompanied with large amounts of data. The interplay between the cyber and the physical components leaves such systems vulnerable to faults and intrusions, motivating the development of a general model that can efficiently and...
This paper presents a new method of smart waste city management which makes the environment of the city clean with a low cost. In this approach, the sensor model detects, measures, and transmits waste volume data over the Internet. The collected data including trash bin's geolocation and the serial number is processed by using regression, classification and graph theory. Thenceforth a new method is...
This paper proposes a new framework for anomaly detection when collectively monitoring many complex systems. The prerequisite for condition-based monitoring in industrial applications is the capability of (1) capturing multiple operational states, (2) managing many similar but different assets, and (3) providing insights into the internal relationship of the variables. To meet these criteria, we propose...
A clinical decision support system and its components may malfunction due to different reasons. The objective of this work is to develop computational methods that can help us to monitor the system and assure its proper operation by promptly detecting and analyzing changes in its behavior. We develop a new change-point detection method using the Multi-Process Dynamic Linear Model. The experiments...
According to the noise and overlapping characteristics of agricultural irrigation water quality monitoring data for the comprehensive evaluation may bring about the boundary fuzzy problem. This paper proposes an improved Genetic Algorithm (GA) to avoid premature convergence, the global optimal solution of the function of the Projection Pursuit (PP) function is used as the comprehensive evaluation...
We propose a homing constrained bi-objective optimization variant of budget-limited informative path planning for monitoring a spatio-temporal environment. The objective function consists of weighted combination of two components: model performance which must be maximized and travel distance which must be bounded by the maximum operational range. Besides this, we have additional constraints that guarantee...
In this paper, we report on a method of finding lot defects and the results of a verification related to the maintenance of power-supply and air-conditioning equipment for ICT. We built a logic and models to automatically detect equipment that may be included in a defective lot. An equipment anomaly analysis system was constructed. For verification, actual past lot failure equipment was applied to...
This paper presents a multi-layer distributed performance management model for Internet of Things (IoT) as a service for caregivers. Performance monitoring and control of IoT devices and services are vital functions for e-health systems. Cloud-based IoT systems with centralized data centers further underline the need for distributed management. The main contribution of this paper is a model and prototype...
Data stored in the database mostly represent current valid state. Nowadays, complex information systems require data evolution management, state monitoring over the time. Temporal definition has been proposed, which is, however, still based on conventional paradigm. Therefore, non-current values are difficult to obtain, manage and evaluate. In this paper, several temporal evolution streams are proposed...
Innovative wellness gadgets are the products of convergence of science and technology in this dynamic digital era. It has not been possible before to provide just-in-time intervention to avoid unhealthy behavior. The change in behavior requires the understanding of the behavior theories and then practical implementation of the stages. Transtheoretical model supports to identify the stage of human...
Energy forecast is essential for a good planning of the electricity consumption as well as for the implementation of decision support systems which can lead the decision making process of energy system. Energy consumption time series prediction problems represent a difficult type of predictive modelling problem due to the existence of complex linear and non-linear patterns. This paper presents two...
Energy efficient control of server rooms in modern data centers can help reducing the energy usage of this fast growing industry. Efficient control, however, cannot be achieved without: i) continuously monitoring in real-time the behavior of the basic thermal nodes within these infrastructures, i.e., the servers; ii) analyzing the acquired data to model the thermal dynamics within the data center...
The ever-growing population of smartphone» connected to mobile networks is changing the cellular traffic ecosystem. The traffic volumes and patterns generated by smartphone apps pose complex challenges to cellular network operators, particularly in terms of detection and diagnosis of network anomalies caused by specific apps. The high-dimensionality of network data provided by current network monitoring...
When hydrologic scientists are looking for data to use in their data models relevant to their research area, they encounter a bottleneck when trying to collect relevant information, sometimes they might not know of all the available sources. Great Lakes Monitoring (GLM) collects data from 5 different state and federal agencies that take measurements on nutrients, geochemicals, contaminants, among...
In this paper, we propose an effective approach which has to detect traffic congestion. The detection strategy is based on the combinational use of piecewise switched linear traffic (PWSL) model with exponentially-weighted moving average (EWMA) chart. PWSL model describes traffic flow dynamics. Then, PWSL residuals are used as the input of EWMA chart to detect traffic congestions. The evaluation results...
Defending against cache pollution attacks, highly detrimental attacks that are easy to implement in Named-Data Networking (NDN), currently suffers from the lack of coordination. Solving cache pollution attacks is a prerequisite for the deployment of NDN, which is widely considered to be the basis for the future Internet. We present CoMon++ to this end, a framework for lightweight coordination that...
The article considers the problem of complex estimation of the product state, associated with the need to help decision-makers in managing the life cycle of space facilities. A system analysis of the subject area was conducted, which showed the presence of limitations in the existing information system of the technical state and reliability of space facilities. The article presents a new intellectual...
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