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For the past decades, drought has affected the natural environment of large areas of Peninsular Malaysia and drought monitoring and identification play an important role in the planning and management of natural resources and water resource systems in the country. Standardized precipitation index (SPI) has been used as a conventional tool to identify and monitor drought occurrences. However, to reduce...
This paper presents the DISESOR integrated decision support system. The system integrates data from different monitoring and dispatching systems and contains such modules as data preparation and cleaning, analytical, prediction and expert system. Architecture of the system is presented in the paper and a special focus is put on the presentation of two issues: data integration and cleaning, and creation...
Prediction of a spindle's health is of critical significance in a manufacturing environment. Unexpected breakdowns in a spindles functioning can lead to high costs and production delays. Therefore, developing methods which can predict the time-to-failure of a spindle and its bearings can be of significant importance. One of the main challenges for successful prediction by a purely data-driven techniques...
Current tools for managing technical debt are able to report the principal of the debt, i.e., the amount of effort required to fix all the quality rules violated in a project. However, they do not report the interest, i.e., the disadvantages the project had or will have due to quality rules violations. As a consequence, the user lacks support in understanding how much the principal should be reduced...
In this research, we use prostate cancer as an example to describe the idea of using Internet of Things (IoT) technology as part of the care process for chronic diseases. IoT provides ways to monitor and collect critical risk elements data that relate to the causes and development of the disease and its comorbidities, on a real time basis over a long period of time by sensing and communication capacity...
The Bio-inspired Autonomous Infrastructure Monitoring (BioAIM) system detects anomalous behavior during the deployment and maintenance of a wireless communication network formed autonomously by unmanned airborne nodes. A node may experience anomalous or unexpected behavior in the presence of hardware/software faults/failures, or external influence (e.g. natural weather phenomena, enemy threats). This...
Industrial plants are facing today with new challenges to well optimize performance of their operation and maintenance. For example, the sustainability paradigm is introducing new requirements to be taken into account in the decision-making process. In that way, energy consumption (EC) and energy efficiency (EE) are two critical performances impacting severely the plant effectiveness mainly with regards...
Overcrowding is one of the most crucial issues confronting emergency departments (EDs) throughout the world. Efficient management of patient flows for ED services has become an urgent issue for most hospital administrations. Handling and detection of abnormal situations is a key challenge in EDs. Thus, the early detection of abnormal patient arrivals at EDs plays an important role from the point of...
Driver behavior has long been considered as particularly relevant for the development of automotive applications, especially that recently these applications are increasingly trying to adapt to the driver. However, drivers behave differently in the different traffic situations, hence the need of techniques to enable cars to learn from their drivers and create a model of his behavior. Actually, future...
Random vibration fatigue of electronic interconnection is one of the most common failure mechanisms for avionics electronic products, and the prediction accuracy of the fatigue physics-of-failure model is vital to the life prediction of the product. Validation test method of the random vibration fatigue physics-of-failure model of dual in-line package (DIP) interconnection is studied here. Based on...
Monitoring the performances of a business process is a key issue in many organizations, especially when predefined constraints exist on them, due to contracts or internal requirements. Several approaches were defined recently in the literature for predicting the performances of a single process instance. However, in many real situations, process-oriented performance metrics and associated constraints...
This article describes the design, comparison and evaluation of predictive models from the area of monitoring data on the basis of CRISP-DM and RadpidMiner technology, for the purpose of improving IT processes in the company. These models have been created on a sample of real data from the monitoring of IT systems in one of the largest companies in Slovakia. Article defines the detailed description...
The article describes the principle of construction of geographic information-analytical system of geodynamic monitoring: generalized information structure, the list of layers and attributes. Also substantiates the use of service-oriented approach, the generalized mathematical description of information processing heterogeneous data when geodynamic forecasting.
Modern latency-critical online services often rely on composing results from a large number of server components. Hence the tail latency (e.g. The 99th percentile of response time), rather than the average, of these components determines the overall service performance. When hosted on a cloud environment, the components of a service typically co-locate with short batch jobs to increase machine utilizations,...
Landslide disasters tend to occur suddenly at any point in time and causes huge damages to human life and resources. Constant monitoring of mountainous regions and an efficient prediction system is a necessity for saving many lives. Uttarkashi district of the Uttarakhand state has been chosen as the region of study as the place tends to receive frequent landslides. Past data of landslides and its...
This paper illustrates the application of point-parametric modeling for model predictive control applications in dynamic networks. The point-parametric modelling methodology is applicable to a variety of large scale complex systems such as drinking water distribution systems, power networks, transportation networks and telecommunication networks. Robust parameter estimation provided by point-parametric...
Schistosomiasis is a parasitic disease that menaces human health. In terms of impact, this disease is second only to malaria as the most devastating parasitic disease. Oncomelania hupensis (snail) is the unique intermediate host of schistosoma, so monitoring and controlling of the number of snail is key to reduce the risk of schistosomiasis transmission. Remote sensing technology can real-timely access...
The population growth has led to increasing occupation of areas susceptible to flooding. This is compounded by environmental stresses such as deforestation, the growing process of erosion and consequent siltation of rivers and rails, above all, the disorderly occupation of the coastal areas, causing floods occur with greater frequency and magnitude. If we consider the uncertainties related to climate...
The paper summarizes the results of the first 15 months of continuous dynamic monitoring of the Gabbia tower in Mantua. After the Italian seismic events of May 2012 a wide investigation program was performed on the tower, suggesting the installation of a dynamic monitoring system in the upper region of the building. The continuously recorded signals allowed the automated identification of the natural...
The Static Security Assessment of power system is affected by the uncertainty of the power flow distribution introduced by renewable resources. In this paper, a fast contingency selection approach considering load and generation uncertainties is proposed. Firstly, a linearized interval power flow algorithm is developed for post-contingency simulation. Then, an interval number comparison method based...
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