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Research in the area of internet-of-things, cyberphysical-systems, and smart health often employ sensor systems at residences for continuous monitoring. Such research-oriented residential monitoring systems (RRMSs) usually face two major challenges, long-term reliable operation management and validation of system functionality with minimal human effort. Targeting these two challenges, this paper describes...
An educational incubator in Purdue University's Polytechnic Institute has been experimenting with highly integrated methods to facilitate, assess, and evaluate student learning. Comprised of transdisciplinary faculty and students, one of the basic covenants is to intentionally and repeatedly balance Humanities and STEM concepts by way of open-ended problems affecting humanity and the planet. The learning...
Car racing on track is a physically and mentally demanding sport. The car is monitored with high accuracy to improve performance, but nothing is measured on the driver. To achieve high performance, it is important that the driver is at their peak both physically and mentally. Knowing the mental state of the driver and keeping them in their individual focus zone can help improve the performance of...
Information Retrieval (IR) identifies trace links based on textual similarities among software artifacts. However, the vocabulary mismatch problem between different artifacts hinders the performance of IR-based approaches. A growing body of work addresses this issue by combining IR techniques with code dependency analysis such as method calls. However, so far the performance of combined approaches...
To manage large crowded events is a very challenging task nowadays. People are looking for solutions in which they can easily monitor the crowd, trace individuals, study formation and deformation patterns of the crowd. Millions of Muslims from around the world gather and perform Hajj in Makkah, Saudi Arabia in the 12th month of every lunar year. To monitor the crowd during Hajj is a great challenge...
This paper presents preliminary results from a pilot study for automated management of blood loss during surgery. The paper describes our approach in developing mathematical models for the cardiovascular system including blood loss and use of colloids for resuscitation. Further, adaptive models are synthesized and used for designing appropriate control algorithms. These algorithms are further integrated...
Inferring foliar temperatures is motivated by the high cost related to measure each plant's temperatures in a vineyard. Foliar temperature is correlated with the plants water potential, which allows farmers to take irrigation decisions. In order to deal with this situation, we utilized information obtained from several temperature infrared sensors integrated into a motor vehicle that runs a vineyard...
Rapid detection and diagnosis of a traumatic brain injury (TBI) can significantly improve the prognosis for recovery. Helmet-mounted sensors that detect impact severity based on measurements of acceleration or pressure show promise for aiding triage and transport decisions in active, field environments such as professional sports or military combat. The detected signals, however, report on the mechanics...
Chronic Obstructive Pulmonary Disease (COPD) is a common preventable and treatable disease characterized by persistent airflow limitations. In COPD, exacerbations are worsening of symptoms beyond day-to-day variations that, if not promptly treated, could worsen the course of disease. This work presents a disease management system that remotely monitors the health status of patients and it detects...
An aging and more sedentary population requires interventions aimed at monitoring physical activity, particularly within the home. This research uses simulation, optimization, and regression analyses to assess the feasibility of using a small number of sensors to track movement and infer physical activity levels of older adults. Based on activity data from the American Time Use Survey and assisted...
Studies have shown that effective physician-patient communication can result in improved health outcomes. Wearable health monitors, which are steadily growing in adoption, may help to improve this communication. In this paper we report the findings of a survey conducted among physicians, in which we assessed their views on the potential integration of wearables into patient care. Our analysis suggests...
With an increasing energy demand, the appliance-specific energy consumption information can help in the residential sector to identify their saving potential. Thereby, algorithms allow to disaggregate the whole-house data into its major constituents. For this purpose, the data are measured by a smart meter under the concept of the Internet of Things that encompasses all the embedded devices and networks...
The increasing trend towards delegating complex tasks to artificial agents in safety-critical socio-technical systems makes its performance monitoring of vital importance. In this work a probabilistic approach to online monitoring is proposed on the basis of optimal action selection and Twin Gaussian processes (TGP). A metric built upon the Kullback-Leibler (KL) distance is used to compute the difference...
This work presents the development of a Supervisory, Control And Data Adquisition (SCADA) using open hardware and free software, for an NBS BioFlo III bioreactor system used in a laboratory inside Universidad Nacional de Quilmes. Design and development of the SCADA BioFlo III system it's based in a web server connected with the fermenter. The server register every process variable in specific databases,...
The increase in number of hospitals with functional hospital management information systems has helped to increase efficiency and quality of care, thereby improving healthcare service delivery. However, with the prevalent issues that the Indian healthcare industry is still grappling with, there is a growing need for each citizen's proactive responsibility towards managing his/her health. Moreover,...
We present an example of unobtrusive, continuous monitoring in the home for the purpose of assessing early health changes. Sensors embedded in the environment capture behavior and activity patterns. Changes in patterns are detected as potential signs of changing health. We first present results of a preliminary study investigating 22 features extracted from in-home sensor data. A 1-D alert algorithm...
Obstructive Sleep Apnea (OSA), defined by shallow breaths or complete cessation of breathing for more than 10s, is a significant contributing factor for the developments of hypertension, myocardial infarction, stroke and neuropsychological impairments. In this study, we have investigated the relation between apnea duration and apnea induced variations in cerebral blood flow velocity (CBFV) concomitant...
In this paper, the process of prototype development of a home-based heart rate monitoring system using a virtual instrumentation platform is proposed. A prototype was implemented on the virtual instrumentation to enable transmission of heart rate information of a patient via short messaging services (SMS) and email notification at the prototyping stage. The experiment tests showed that the instrumentation...
Requirements monitors provide high-level feedback on software usage in real-time. Herein, we show how low-level monitoring can identify behavioral transitions that can be interpreted as learning transitions by a post-clinical team. One monitoring technique is to apply stochastic modeling to the software's event stream. Herein, we show how dynamically generated hidden Markov models (HMMs) characterize...
Nowadays there are a variety of algorithms for robotic sensors that attack the problem of tracking perimeters of anomalies in physical environments. Such anomalies can be seen in applications such as forest fire detection or tracking temperature gradients in the sea. In this paper we propose an improved algorithm for anomalies perimeter tracking, which is based on the bang-bang algorithm and is complemented...
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