Patient monitoring is vital in all stages of care. We here report the development and validation ICU length stay mortality prediction models. The models will be used an intelligent patient module Intelligent Remote Monitoring (IRPM) framework that monitors health status patients, generates timely alerts, maneuver guidance, or reports when adverse medical conditions are predicted. utilized publicly available Medical Information Mart for Intensive Care (MIMIC) database to extract data adult...

In efforts to use information and communication technologies for the civil political conduct of government, many countries have begun supporting e-government initiatives. The ultimate goal is improve government-citizen interactions through an infrastructure built around "life experience" citizens. To facilitate welfare applications expeditiously satisfy citizens' needs, we wrapped these in modular Web services. Adopting services enables government agencies provide value-added by defining a...

An integrative view of Earth as a system, based on multidisciplinary data, has become one the most compelling reasons for research and education in geosciences. It is now necessary to establish modern infrastructure that can support transformation data knowledge. Such an information geosciences contained within emerging science geoinformatics, which seeks promote utilization integration complex, seeking solutions geoscience-based societal challenges.

Web services are increasingly being adopted as a viable means to access Web-based applications. This has been enabled by the tremendous standardization effort describe, advertise, discover, and invoke services. Digital government (DG) is major application domain for It aims at improving government-citizen interactions using information communication technologies. Government agencies collect, store, process, share about millions of citizens who have different preferences regarding their...

Abstract The simulations and potential forecasting of dust storms are significant interest to public health environment sciences. Dust have interannual variabilities typical disruptive events. computing platform for a storm operational system should support fashion by scaling up enable high-resolution massive access when come down no events occur save energy costs. With the capability providing large, elastic, virtualized pool computational resources, cloud becomes new advantageous paradigm...

Change detection (CD) from remote sensing data is a very challenging research problem, especially when we analyse an urban scene. Urban scenes are composed of many different types objects, both natural and man-made. The building class one the important most complex classes to analyse, because it useful for so applications exhibits changes due human activity catastrophes. For these reasons, focus our study on change (BCD). In this paper propose classification scheme BCD according several...

Most routing protocols for sensor-actuator networks (SANETs) are built under the assumption that nodes normally cooperate in forwarding each other's messages. In practice, this is not realistic; SANETs environments where may or cooperate. For several reasons, a node fail to operate as planned at deployment time. As result, when actually deployed, and applications be efficient expected. paper, we present TARP (Trust-Aware Routing Protocol), protocol exploits past nodes' behavior links'...

We propose a novel technique called dimming to improve the energy efficiency of cellular networks by reducing capacity, services, and consumption cells without turning off cells. define three basic methods dim network: coverage, frequency, service dimming. construct multi-time period optimization problem implement frequency extend it both together. illustrate ability techniques adapt capacity network services in proportion dynamic spatial temporal load resulting significant savings through...

Remote sensing change detection (RSCD) is the process of identifying changes between scenes same location acquired at different times. This an active research area with a broad range applications. Many methods have been described in literature, ranging from simple differencing to machine learning techniques. Faced this large number suggested techniques, researchers tried classify them into categories simplify and systematize topic. A categorization schemes proposed, based on various...

Forecasting dust storms for large geographical areas with high resolution poses great challenges scientific and computational research. Limitations of computing power the scalability parallel systems preclude an immediate solution to such challenges. This article reports our research on using adaptively coupled models resolve enable computability storm forecasting by dividing domain into multiple subdomains based spatiotemporal distributions storm. A model (Eta-8bin) performs a quick low (22...

Most approaches developed to query sensor-actuator networks (SANETs) are either application-specific or generic. Application-specific SANETs provide limited reusability, not cost effective, and may require extensive reprogramming efforts make the network able serve new applications. Generic usually that a sizeable code be deployed on nodes regardless of specific requirements application at hand. More important, they optimized fully exploit characteristics patterns given application. In this...

Remote monitoring of patients in the intensive care unit (ICU) is a crucial observation and assessment task that necessary for precision medicine. In this work, we follow state-of-the-art risk stratification through machine learning-based prediction, but with minimal features rely on vital signs, most commonly used physiological variables obtained inside outside hospitals. We provide formal representation feature engineering algorithm report development validation three reproducible learning...

We present reliable adaptive service-driven efficient routing (muRACER), a protocol suite based on novel service-oriented design for sensor-actuator networks where nodes expose their capabilities to applications as service profile. A node's profile consists of set services (i.e., sensing and actuation capabilities) that it provides the quality-of-service (QoS) parameters associated with those (delay, accuracy, freshness, etc.). muRACER uses an service-aware approach aggressively reduces...

Web services are increasingly being adopted as a viable means to access Web-based applications. This has been enabled by the tremendous standardization effort describe, advertise, discover, and invoke services. Digital government (DG) is major application domain for It aims at improving government-citizen interactions using information communication technologies. Government agencies collect, store, process, share about millions of citizens who have different preferences regarding their...

The Global Earth Observation (GEO, 2005) was envisioned as a prelude to System of Systems (GEOSS). Common Infrastructure (GCI) is geospatial cyberinfrastructure facilitate the easy discovery, access, and utilization observation data, information, tools services through standardized metadata (ISO 19139). GEOSS Clearinghouse engine that drives entire GCI. It provides search capability against existing catalogues from GEO members participating organizations, highlights range functionality...

The exponential growth of information has prompted the introduction new technologies such as Semantic Web and Common Sense knowledge bases. To connect different presentations together is a primary requirement, ontologies are central we need for this transformation. In paper introduce ConceptOnto which an ontology based on ConceptNet base with extension some other properties in more acclaimed upper ontologies. Our goal creation readability humans, maximizing functionality while saving...

Hardware failures in cloud data centers may cause substantial losses to providers and users. Therefore, the ability accurately predict when occur is of paramount importance. In this paper, we present FailureSim, a simulator based on CloudSim that supports failure prediction. FailureSim obtains performance related information from classifies status hardware using neural network. Performance read hosting stored variable length windowing vector. At specified stages, various aggregation methods...

Due to the many advantages offered by cloud computing paradigm, it is fast becoming an enabling technology for organizations, and even individual users. Flexibility availability are two of most important features that promote wide spread adoption this technology. In cloud-based data storage scenarios, where controlled a third party (i.e. service provider), owner usually does not have full control its at all stages. Consequently, poses prime security threat, major challenge development secure...

Information visualization and user interaction play critical roles in geospatial resource discovery processes. Well-designed graphical interfaces improve experience also help convey important information to assist decision-making. Existing approaches have problems that impact the efficiency of including (1) search portals lack intuitive diverse methods present results; (2) functions sort, filter, explore analyse results are inadequate inefficient (3) value-added users make selection is...