Relevant bibliographies by topics / Alert

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Alert'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 June 2025

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Journal articles on the topic "Alert"

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AM, Riyad. "Multilevel Intrusion Alert Post-processing for the Elimination of False Positives." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (2021): 2458–68. http://dx.doi.org/10.22214/ijraset.2021.37789.

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Abstract: Intrusion detection systems are the last line of defence in the network security domain. Improving the performance of intrusion detection systems always increase false positives. This is a serious problem in the field of intrusion detection. In order to overcome this issue to a great extend, we propose a multi level post processing of intrusion alerts eliminating false positives produced by various intrusion detection systems in the network. For this purpose, the alerts are normalized first. Then, a preliminary alert filtration phase prioritize the alerts and removes irrelevant alerts. The higher priority alerts are then aggregated to fewer numbers of hyper alerts. In the final phase, alert correlation is done and alert correlation graph is constructed for finding the causal relationship among the alerts which further eliminates false positives. Experiments were conducted on LLDOS 1.0 dataset for verifying the approach and measuring the accuracy. Keywords: Intrusion detection system, alert prioritization, alert aggregation, alert correlation, LLDOS 1.0 dataset, alert correlation graph.
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McDaniel, Robert B., Jonathan D. Burlison, Donald K. Baker, et al. "Alert dwell time: introduction of a measure to evaluate interruptive clinical decision support alerts." Journal of the American Medical Informatics Association 23, e1 (2015): e138-e141. http://dx.doi.org/10.1093/jamia/ocv144.

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Abstract Metrics for evaluating interruptive prescribing alerts have many limitations. Additional methods are needed to identify opportunities to improve alerting systems and prevent alert fatigue. In this study, the authors determined whether alert dwell time—the time elapsed from when an interruptive alert is generated to when it is dismissed—could be calculated by using historical alert data from log files. Drug–drug interaction (DDI) alerts from 3 years of electronic health record data were queried. Alert dwell time was calculated for 25,965 alerts, including 777 unique DDIs. The median alert dwell time was 8 s (range, 1–4913 s). Resident physicians had longer median alert dwell times than other prescribers ( P < .001). The 10 most frequent DDI alerts ( n = 8759 alerts) had shorter median dwell times than alerts that only occurred once ( P < .001). This metric can be used in future research to evaluate the effectiveness and efficiency of interruptive prescribing alerts.
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Chaparro, Juan D., Cory Hussain, Jennifer A. Lee, Jessica Hehmeyer, Manjusri Nguyen, and Jeffrey Hoffman. "Reducing Interruptive Alert Burden Using Quality Improvement Methodology." Applied Clinical Informatics 11, no. 01 (2020): 046–58. http://dx.doi.org/10.1055/s-0039-3402757.

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Abstract Background Increased adoption of electronic health records (EHR) with integrated clinical decision support (CDS) systems has reduced some sources of error but has led to unintended consequences including alert fatigue. The “pop-up” or interruptive alert is often employed as it requires providers to acknowledge receipt of an alert by taking an action despite the potential negative effects of workflow interruption. We noted a persistent upward trend of interruptive alerts at our institution and increasing requests for new interruptive alerts. Objectives Using Institute for Healthcare Improvement (IHI) quality improvement (QI) methodology, the primary objective was to reduce the total volume of interruptive alerts received by providers. Methods We created an interactive dashboard for baseline alert data and to monitor frequency and outcomes of alerts as well as to prioritize interventions. A key driver diagram was developed with a specific aim to decrease the number of interruptive alerts from a baseline of 7,250 to 4,700 per week (35%) over 6 months. Interventions focused on the following key drivers: appropriate alert display within workflow, clear alert content, alert governance and standardization, user feedback regarding overrides, and respect for user knowledge. Results A total of 25 unique alerts accounted for 90% of the total interruptive alert volume. By focusing on these 25 alerts, we reduced interruptive alerts from 7,250 to 4,400 per week. Conclusion Systematic and structured improvements to interruptive alerts can lead to overall reduced interruptive alert burden. Using QI methods to prioritize our interventions allowed us to maximize our impact. Further evaluation should be done on the effects of reduced interruptive alerts on patient care outcomes, usability heuristics on cognitive burden, and direct feedback mechanisms on alert utility.
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Szymanski, Jeffrey J., Abraham J. Qavi, Kari Laux, and Ronald Jackups. "Once-Per-Visit Alerts: A Means to Study Alert Compliance and Reduce Repeat Laboratory Testing." Clinical Chemistry 65, no. 9 (2019): 1125–31. http://dx.doi.org/10.1373/clinchem.2018.300657.

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Abstract BACKGROUND Clinical decision support alerts for laboratory testing have poor compliance. Once-per-visit alerts, triggered by reorder of a test within the same admission, are highly specific for unnecessary orders and provide a means to study alert compliance. METHODS Once-per-visit alerts for 18 laboratory orderables were analyzed over a 60-month period from September 2012 to October 2016 at a 1200-bed academic medical center. To determine correlates of alert compliance, we compared alerts by test and provider characteristics. RESULTS Overall alert compliance was 54.5%. In multivariate regression, compliance correlated with length of stay at time of alert, provider type, previous alerts in a patient visit, test ordered, total alerts experienced by ordering provider, and previous order status. CONCLUSIONS A diverse set of provider and test characteristics influences compliance with once-per-visit laboratory alerts. Future alerts should incorporate these characteristics into alert design to minimize alert overrides.
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Pashtan, Itai Max, Tara Kosak, Kevin Beaudette, et al. "Addressing alert fatigue by reducing radiation oncology software alert volume." Journal of Clinical Oncology 39, no. 28_suppl (2021): 261. http://dx.doi.org/10.1200/jco.2020.39.28_suppl.261.

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261 Background: Radiation therapists (RTTs) administer radiation treatments to patients with cancer. Treatments are delivered using linear accelerators (LINACs), operated by vendor specific software. Prior to delivering treatment, RTTs perform a time-out, and read aloud critical electronic communications (alerts) entered by members of the radiation oncology care team. Alerts are effective at communicating critical information, including treatment setup and imaging instructions, but can become a source of error due to alert fatigue when placed indiscriminately. Methods: A multicenter retrospective review of alert use per patient was conducted in 4 radiation oncology centers with a total of 6 LINACs. Alert usage was reviewed pre-intervention for 40 randomly selected patients using manual chart review. Each alert was reviewed for frequency and utilization. In attempt of improving communication and reducing alert fatigue, a multidisciplinary process improvement working group (with Radiation Oncologists, RTTs, nursing, physicists, and administration) was formed to review the utilization of alerts in our department and propose interventions. Three months after intervention, an additional 40 chart review was performed. Our aim was to reduce the volume of alerts by 20% within 3 months. A 2-tail t-test was used for statistical analysis. Results: Process improvements were implemented to reduce the volume of alerts per patient. Interventions included 1) defining an alert for all departmental staff, 2) creating guidelines for appropriate utilization of alerts, 3) routing communications not critical to RTTs at the time of radiation treatment administration through other channels, and 4) training staff as to the above. The pre-intervention review yielded 239 alerts. Post-intervention, there were 173 alerts, a reduction of 27% (p =.008). Conclusions: This practice change reduced average alert volume by 27%. As a result, alerts which are critical to safe treatment delivery by RTTs (i.e. daily setup alerts), became more heavily represented. Other alerts, which could be communicated effectively in other ways (i.e. OTVs [weekly on treatment visit with Radiation Oncologist]), were eliminated. By decreasing alert volume, the risk of RTT alert fatigue is reduced, communication improved, and treatment safety enhanced.[Table: see text]
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Wang, Le, Kim Huat Goh, Adrian Yeow, et al. "Habit and Automaticity in Medical Alert Override: Cohort Study." Journal of Medical Internet Research 24, no. 2 (2022): e23355. http://dx.doi.org/10.2196/23355.

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Background Prior literature suggests that alert dismissal could be linked to physicians’ habits and automaticity. The evidence for this perspective has been mainly observational data. This study uses log data from an electronic medical records system to empirically validate this perspective. Objective We seek to quantify the association between habit and alert dismissal in physicians. Methods We conducted a retrospective analysis using the log data comprising 66,049 alerts generated from hospitalized patients in a hospital from March 2017 to December 2018. We analyzed 1152 physicians exposed to a specific clinical support alert triggered in a hospital’s electronic medical record system to estimate the extent to which the physicians’ habit strength, which had been developed from habitual learning, impacted their propensity toward alert dismissal. We further examined the association between a physician’s habit strength and their subsequent incidences of alert dismissal. Additionally, we recorded the time taken by the physician to respond to the alert and collected data on other clinical and environmental factors related to the alerts as covariates for the analysis. Results We found that a physician’s prior dismissal of alerts leads to their increased habit strength to dismiss alerts. Furthermore, a physician’s habit strength to dismiss alerts was found to be positively associated with incidences of subsequent alert dismissals after their initial alert dismissal. Alert dismissal due to habitual learning was also found to be pervasive across all physician ranks, from junior interns to senior attending specialists. Further, the dismissal of alerts had been observed to typically occur after a very short processing time. Our study found that 72.5% of alerts were dismissed in under 3 seconds after the alert appeared, and 13.2% of all alerts were dismissed in under 1 second after the alert appeared. We found empirical support that habitual dismissal is one of the key factors associated with alert dismissal. We also found that habitual dismissal of alerts is self-reinforcing, which suggests significant challenges in disrupting or changing alert dismissal habits once they are formed. Conclusions Habitual tendencies are associated with the dismissal of alerts. This relationship is pervasive across all levels of physician rank and experience, and the effect is self-reinforcing.
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Heringa, Mette, Hidde Siderius, Annemieke Floor-Schreudering, Peter A. G. M. de Smet, and Marcel L. Bouvy. "Lower alert rates by clustering of related drug interaction alerts." Journal of the American Medical Informatics Association 24, no. 1 (2016): 54–59. http://dx.doi.org/10.1093/jamia/ocw049.

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Objective: We aimed to investigate to what extent clustering of related drug interaction alerts (drug-drug and drug-disease interaction alerts) would decrease the alert rate in clinical decision support systems (CDSSs). Methods: We conducted a retrospective analysis of drug interaction alerts generated by CDSSs in community pharmacies. Frequently generated combinations of alerts were analyzed for associations in a 5% random data sample (dataset 1). Alert combinations with similar management recommendations were defined as clusters. The alert rate was assessed by simulating a CDSS generating 1 alert per cluster per patient instead of separate alerts. The simulation was performed in dataset 1 and replicated in another 5% data sample (dataset 2). Results: Data were extracted from the CDSSs of 123 community pharmacies. Dataset 1 consisted of 841 572 dispensed prescriptions and 298 261 drug interaction alerts. Dataset 2 was comparable. Twenty-two frequently occurring alert combinations were identified. Analysis of these associated alert combinations for similar management recommendations resulted in 3 clusters (related to renal function, electrolytes, diabetes, and cardiovascular diseases). Using the clusters in alert generation reduced the alert rate within these clusters by 53–70%. The overall number of drug interaction alerts was reduced by 11% in dataset 1 and by 12% in dataset 2. This corresponds to a decrease of 21 alerts per pharmacy per day. Discussion and conclusion: Using clusters of drug interaction alerts with similar management recommendations in CDSSs can substantially decrease the overall alert rate. Further research is needed to establish the applicability of this concept in daily practice.
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Chien, Shuo-Chen, Yen-Po Chin, Chang-Ho Yoon, et al. "A Tool to Retrieve Alert Dwell Time from a Homegrown Computerized Physician Order Entry (CPOE) System of an Academic Medical Center: An Exploratory Analysis." Applied Sciences 11, no. 24 (2021): 12004. http://dx.doi.org/10.3390/app112412004.

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Alert dwell time, defined as the time elapsed from the generation of an interruptive alert to its closure, has rarely been used to describe the time required by clinicians to respond to interruptive alerts. Our study aimed to develop a tool to retrieve alert dwell times from a homegrown CPOE (computerized physician order entry) system, and to conduct exploratory analysis on the impact of various alert characteristics on alert dwell time. Additionally, we compared this impact between various professional groups. With these aims, a dominant window detector was developed using the Golang programming language and was implemented to collect all alert dwell times from the homegrown CPOE system of a 726-bed, Taiwanese academic medical center from December 2019 to February 2021. Overall, 3,737,697 interruptive alerts were collected. Correlation analysis was performed for alerts corresponding to the 100 most frequent alert categories. Our results showed that there was a negative correlation (ρ = −0.244, p = 0.015) between the number of alerts and alert dwell times. Alert dwell times were strongly correlated between different professional groups (physician vs. nurse, ρ = 0.739, p < 0.001). A tool that retrieves alert dwell times can provide important insights to hospitals attempting to improve clinical workflows.
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Simpao, Allan F., Luis M. Ahumada, Bimal R. Desai, et al. "Optimization of drug–drug interaction alert rules in a pediatric hospital's electronic health record system using a visual analytics dashboard." Journal of the American Medical Informatics Association 22, no. 2 (2014): 361–69. http://dx.doi.org/10.1136/amiajnl-2013-002538.

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Abstract Objective To develop and evaluate an electronic dashboard of hospital-wide electronic health record medication alerts for an alert fatigue reduction quality improvement project. Methods We used visual analytics software to develop the dashboard. We collaborated with the hospital-wide Clinical Decision Support committee to perform three interventions successively deactivating clinically irrelevant drug–drug interaction (DDI) alert rules. We analyzed the impact of the interventions on care providers’ and pharmacists’ alert and override rates using an interrupted time series framework with piecewise regression. Results We evaluated 2 391 880 medication alerts between January 31, 2011 and January 26, 2014. For pharmacists, the median alert rate prior to the first DDI deactivation was 58.74 alerts/100 orders (IQR 54.98–60.48) and 25.11 alerts/100 orders (IQR 23.45–26.57) following the three interventions (p<0.001). For providers, baseline median alert rate prior to the first round of DDI deactivation was 19.73 alerts/100 orders (IQR 18.66–20.24) and 15.11 alerts/100 orders (IQR 14.44–15.49) following the three interventions (p<0.001). In a subgroup analysis, we observed a decrease in pharmacists’ override rates for DDI alerts that were not modified in the system from a median of 93.06 overrides/100 alerts (IQR 91.96–94.33) to 85.68 overrides/100 alerts (IQR 84.29–87.15, p<0.001). The medication serious safety event rate decreased during the study period, and there were no serious safety events reported in association with the deactivated alert rules. Conclusions An alert dashboard facilitated safe rapid-cycle reductions in alert burden that were temporally associated with lower pharmacist override rates in a subgroup of DDIs not directly affected by the interventions; meanwhile, the pharmacists’ frequency of selecting the ‘cancel’ option increased. We hypothesize that reducing the alert burden enabled pharmacists to devote more attention to clinically relevant alerts.
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McGreevey, John D., Colleen P. Mallozzi, Randa M. Perkins, Eric Shelov, and Richard Schreiber. "Reducing Alert Burden in Electronic Health Records: State of the Art Recommendations from Four Health Systems." Applied Clinical Informatics 11, no. 01 (2020): 001–12. http://dx.doi.org/10.1055/s-0039-3402715.

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Abstract Background Electronic health record (EHR) alert fatigue, while widely recognized as a concern nationally, lacks a corresponding comprehensive mitigation plan. Objectives The goal of this manuscript is to provide practical guidance to clinical informaticists and other health care leaders who are considering creating a program to manage EHR alerts. Methods This manuscript synthesizes several approaches and recommendations for better alert management derived from four U.S. health care institutions that presented their experiences and recommendations at the American Medical Informatics Association 2019 Clinical Informatics Conference in Atlanta, Georgia, United States. The assembled health care institution leaders represent academic, pediatric, community, and specialized care domains. We describe governance and management, structural concepts and components, and human–computer interactions with alerts, and make recommendations regarding these domains based on our experience supplemented with literature review. This paper focuses on alerts that impact bedside clinicians. Results The manuscript addresses the range of considerations relevant to alert management including a summary of the background literature about alerts, alert governance, alert metrics, starting an alert management program, approaches to evaluating alerts prior to deployment, and optimization of existing alerts. The manuscript includes examples of alert optimization successes at two of the represented institutions. In addition, we review limitations on the ability to evaluate alerts in the current state and identify opportunities for further scholarship. Conclusion Ultimately, alert management programs must strive to meet common goals of improving patient care, while at the same time decreasing the alert burden on clinicians. In so doing, organizations have an opportunity to promote the wellness of patients, clinicians, and EHRs themselves.
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Dissertations / Theses on the topic "Alert"

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Усенко, Наталія Миколаївна, Наталия Николаевна Усенко, Nataliia Mykolaivna Usenko, and A. S. Romashko. "Drive Alert." Thesis, Вид-во СумДУ, 2011. http://essuir.sumdu.edu.ua/handle/123456789/22112.

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Drowsy driving is as deadly as drunken driving. Driver fatigue is the primary reason for drivers falling asleep at the wheel. We live in a society where a lot of people are getting tired all the time. Any driver knows how it is difficult to drive the car for some hours. Is created a device “DriveAlert”, like an alarm for the driver. This intelligent device is designed to detect when the driver is in danger of dozing off and immediately alerts him and passengers. It prevents a potential crash. If you feel drowsy but need to keep yourself on road “DriveAlert” will keep you and others in safety during long drowsy driving. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/22112
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SHAHNAZARIAN, Nare. "Auditory Alert Guidelines." Thesis, KTH, Maskinkonstruktion (Inst.), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-103818.

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Detta projekt ska resultera i direktiv för framtida utveckling av ljudsignaler och varningsljud i bil. Signalerskarakteristiska drag undersöks för en djupare förståelse för de parametrar som ger upphov till specifika känslor ochbeteenden. Signaler från Saab 9-5 modifieras för att passa befintliga teorier om design av ljudsignaler. Dessajämförs med originalsignaler samt signaler från Saab 9-3, BMW 3-serie och Audi A6 i en användarstudie.Resultaten visar på möjligheten att utveckla mindre irriterande signaler vid lägre ljudnivåer med bibehållenallvarsnivå. Resultaten pekar även på att ökad allvarsnivå kan fås med kortare periodtid och signallängd, ökat antalrepetitioner och frekvenser samt ökad upplevd tonstyrka (på sonskalan). Resultat från SAM-skalan visar att bådeoriginal- samt modifierade signaler tenderar att placera sig enligt teorin (högre aktivering och negativitet för signalerpå höga allvarsnivåer och vice versa). Studien visade även att utförligare arbete krävs för att stärka Saabs identitetnär det gäller ljudsignaler och att detaljerade studier om perception och förarbeteende krävs vid framtagning av nyasignaler.<br>This project aims to result in guidelines for future development of auditory signals in cars. The characteristics ofdifferent types of signals are investigated for a greater understanding of what parameters in auditory signals thatgive rise to certain feelings or behaviour. Auditory signals from Saab 9-5 are modified to fit existing theories aboutauditory alerts. These are then compared to their original signals and signals from Saab 9-3, BMW 3-series and AudiA6 in a user study. The results show that there is a possibility to design signals with no significant difference inurgency that are seen as less annoying at lower sound levels. Urgency seems to depend negatively on sound cadenceand signal length and positively on number of repetitions and frequencies and also loudness. SAM scale resultsshowed that both original and modified signals tend to move according to desired theories (higher activation andlower valence for high urgency signals and vice versa). The study also showed that further work needs to be put onstrengthening Saabs brand identity concerning auditory signals and that detailed studies on driver perception andbehaviour is needed when developing new signals.
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Rayapati, Anisha. "Phone alert system." Kansas State University, 2015. http://hdl.handle.net/2097/18977.

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Master of Science<br>Department of Computing and Information Sciences<br>Mitchell Neilsen<br>There has been vast growth in development of mobile applications over the past few years. Many competitors in this area are involved in research and development on new platforms and user experience. One such technology is Android, whose credit goes to the Internet giant Google. Android supports a variety of mobile phones and tablets many manufactured by distinguished companies. These phones are described as next generation mobiles [as described by Google]. Android, being open source and free to use platform, offers the developers a broad way to build different kind of applications. Currently, if a user leaves his/her mobile at home or some other place, there is no option for him/her to see the messages or missed calls until they get back home. To avoid such things, I have built an Android application where we can integrate the mobile phone with SMTP (Simple Mail Transfer Protocol) email system so that the user will get the notification of email or SMS to their email client which is installed on his/her workstation. It will also allow the user to set the profile of the phone as Silent, Ring or Vibrate just by sending messages to the phone. The developed Android software allows users to start the app and give the desired email to which the notifications are to be sent. It will also allow saving the timings during which we need the notifications. The days on which the same notification alert is required can also be mentioned through the app. This will help users to track their mobile by changing its mode to ring just by sending a message.
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Chau, Kevin, and Jimmy Chau. "SmartBand Alert : Produktframtagning." Thesis, Högskolan i Halmstad, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-34236.

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Projektmedlemmarna har valt att samarbeta med uppdragsgivarna David Almgren och Hussam Alshammari. För att båda två är ambitiösa och drivna studenter från högskolan i Halmstad med ett intressant projekt inom produktutveckling och vill vidarutveckla 3D-modellen som författarna har tagit fram åt uppdragsgivarna. Uppgiften har varit att ta fram en ny design för kapsel och armband till Smartband Alert som består av kretskomponenter som uppdragsgivarna har programmerat och utvecklat.   Examensarbetet baseras på Fredy Olssons metod för principkonstruktion, primärkonstruktion och tillverkningskonstruktion. Metoden används när en ny produkt ska utvecklas men också när det ska utföras en utveckling/förbättring av en produkt. Författarna följer inte Fredy Olssons metod från början till slut utan har valt det innehåll som är relevant för projektet.   I projektet har författarna tagit fram 3D-modeller i CAD-programmet; CATIA V5-6R2016 som hjälpmedel för att kunna ta fram en slutlig 3D-modell som passar  existerande komponentdelar, som uppdragsgivarna har tilldelat till författarna. För att eventuellt kunna tillverka produkten, har författarna tagit fram CAD-ritningar. Slutligen har en modell tillverkats av en 3D-skrivare till uppdragsgivarna, för att kunna se och testa modellen i verkligheten.<br>The project members has chosen to collaborate with the taskpersons David Almgren and Hussam Alshammari. Because both are ambitious and driven students from Halmstad University with an interesting project in product development and want to further develop the 3D-model as the authors has developed for them. The task has been to develop a new design for capsule and bracelet to Smartband Alert which consists of circuit components as the taskpersons has programmed and developed.   The thesis is based on Fredy Olsson’s method of principle construction, primary construction and manufacturing construction. The method is used when a new product is to be developed but also when it comes to the development/improvement of a product. The authors do not follow Fredy Olsson's method from beginning to end but has chosen content which is relevant for the project.   In the project, the authors have developed 3D-models in the CAD-program; CATIA V5-6R2016 as a tool to be able to produce a conclusive 3D-model that fits existing component parts, as taskpersons has assigned to the authors. In order to be able to manufacture the product, the authors produced 3D-drawings. Finally has a model been manufactured by a 3D-printer to the taskpersons, to be able to see and test the model in reality.<br><p>Vi har laddat upp en tidigare version som saknar fram och baksida.</p>
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Chew, Heng Hui. "A secure alert system." Thesis, Monterey, Calif. : Naval Postgraduate School, 2006. http://bosun.nps.edu/uhtbin/hyperion.exe/06Dec%5FChew.pdf.

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Thesis (M.S. in Computer Science)--Naval Postgraduate School, December 2006.<br>Thesis Advisor(s): Gurminder Singh, Karen Burke. "December 2006." Includes bibliographical references (p. 63-66). Also available in print.
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Chinpanich, Vorapong. "Helpdesk Support Alert System." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2674.

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The goal of this project was to implement the Helpdesk Support Alert System in the Data Center Services (DCS) of California State University, San Bernardino's (CSUSB's) Information Resource and Technology Division (IRT). DCS is responsible for ensuring uninterrupted operation of all CSUSB administrative computing systems. These responsibilities include user support, system maintenance, and system security. The DCS helpdesk cannot be staffed 24 hours a day; this application is designed to alert DCS technicians of emergencies when they are away from the helpdesk. The Helpdesk Support Alert System sends out an automated emergency alert in the form of a short text message to technicians' mobile phones. Technicians respond back to their main office by using the Wireless Application Protocol (WAP) capability of their mobile phones.
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Norén, Bång Ola. "STCA : an aircraft conflict alert system." Thesis, Linköping University, Department of Computer and Information Science, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2297.

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<p>The purpose of this Master’s Thesis is to produce a specification for the aircraft conflict alert system STCA, and implement a prototype as a module in the air traffic surveillance system NOVA9000. </p><p>The specification is constructed based on functional requirements from EUROCONTROL and describes a system using a nominal trajectory method, where the future paths of aircraft are estimated. The trajectory is created using a probabilistic approach, where future positions are described with probability fields. </p><p>The prototype is implemented using the specification with some simplifications. The prototype is evaluated using recorded traffic from a heavy air traffic region surrounding an airport with parallel runways. 15 alerts were induced in 1,5 hour of morning traffic; this is far too much to be acceptable. Improvements are proposed and explanations to the high rate of alerts are made.</p>
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Almgren, David, and Hussam Alshammari. "SmartBand Alert : Ett armband för säkerhet." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-34177.

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Safety is a topic that is frequently discussed and spoken of in today’s society. An enhanced security for each individual is something many strive for in various industries. One of these is how to make the public feel more secure when the person in question, for example, is out walking late at night. The goal of this bachelors thesis is thus to describe and explain the product that has been developed to get ordinary people to feel more secure wherever they are. The chosen solution for this issue was hence to develop the product SmartBand Alert which consists of two parts. A bracelet and an application for IOS and Android. This bracelet should, by certain connectivity cooperate with the user’s phone to notify family members and/or others when the person thinks or knows that he or she is in danger. These persons will be notified with information about the person who has activated the alarm to simply and easily take the necessary actions to help the person. The product is designed to be used by anyone regardless of gender, age, and other characteristics individuals may hold.
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Källström, Christina, and Lena Jönsson. "SENIOR ALERT I OMVÅRDNADSARBETET : En intervjustudie om hur Senior alert fungerar i vården av äldre på särskilt boende." Thesis, Linnéuniversitetet, Institutionen för hälso- och vårdvetenskap (HV), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-65249.

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Bakgrund: Senior alert är ett nationellt kvalitetsregister. Registret vänder sig till äldre personer över 65 år som har någon form av kontakt med vård och omsorg som särskilt boende, korttidsboende, hemsjukvård, primärvård och/eller sjukhusvård insatser. Senior alert är ett register i vårdprevention som förebygger trycksår, undernäring, fall, munhälsa, och blåsdysfunktion. Det handlar om att göra riskbedömningar, definiera orsaker, planera åtgärder och uppföljningar. Registret hjälper vårdpersonalen att uppfylla arbetet i förebyggande vård.Syfte: Syftet var att beskriva hur Senior alert fungerar i vården av äldre på särskilt boende. Metod: Intervju med fem sjuksköterskor på särskilt boende, Graneheim &amp; Lundmans (2004) kvalitativa innehållsanalys användes för att bearbeta data. Resultat: Senior alert är ett bra arbetsverktyg ger översikt och struktur och en bättre omvårdnad av äldre. Sjuksköterskor upplever att arbetet med Senior alert är tidskrävande och det finns brister i arbetssätt och rutiner i kommunen. Senior alert kan förbättras. Slutsats: Senior alert är ett bra system när det finns rutiner och möjlighet att arbeta med det. Sjuksköterskor upplever däremot att Senior alert inte fungerar i vården av äldre på särskilt boende i den valda kommunen. Det saknas utbildning och tydliga mål med hur Senior alert ska fungerar i kommunen och det bör skapas förutsättningar.
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Khong, Farn Wei Jason. "Performance Assessment of Network Intrusion-Alert Prediction." Thesis, Monterey, California. Naval Postgraduate School, 2012. http://hdl.handle.net/10945/17384.

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Approved for public release; distribution is unlimited<br>In the current global cyber warfare landscape, cyber attacks on infrastructure are a serious threat. Although network administrators use intrusion detection systems (IDSs) to detect threats and anomalies, they usually only offer post-attacks alerts. If we could predict malicious activities, we could allow network administrators or security enhancing software to take appropriate actions in advance of damage occurring. Incoming intrusion detection alerts can be considered as a sequence. We used Pytbull to simulate cyber attacks within a testbed network environment and collected Snort generated intrusion detection alerts. We tested four sets of alert-prediction programs with this data Single-Scope Blending algorithm, a Simple Bayesian Mixture algorithm, a Multiple Simple Bayesian algorithm and a Variable Markov Model algorithm. The harmonic mean of the precision and recall (F-score) measured prediction accuracy. The Single-Scope Blending algorithm performed the best in these tests, especially in a multiple attacker environment.
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Books on the topic "Alert"

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AICPA. Alert. American Institute of Certified Public Accountants, Inc., 2018. http://dx.doi.org/10.1002/9781119499794.

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James, Patterson. Alert. Century, 2015.

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Mark, Howarth, and Abrehart Gary, eds. Alert! A.L. Fleming, 1992.

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Sagar, Tariq Ismail. Red alert. Jahangir, 1999.

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Wood, John. Ozone alert. Visual Studies Workshop Press, 1996.

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Fishman, Jack, and Robert Kalish. Global Alert. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4899-6114-3.

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Johnson, Les. Sky Alert! Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-1830-6.

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Korman, Susan. Alien alert. Bantam Books, 1996.

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Sidēra, Angelikē. Silver alert. Kedros, 2016.

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Nicole, Carmichael, ed. Earth alert. World Book/Two-Can, 1996.

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Book chapters on the topic "Alert"

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Chen, Jia, Xiaolei Chen, Jie Shi, Peng Wang, and Wei Wang. "VOCE: A Virtual On-Call Engineer for Automated Alert Incident Analysis Using a Large Language Model." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-90900-9_4.

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Abstract In a service system, operations engineers generally deploy numerous monitoring mechanisms in system components to detect anomalies caused by system faults and generate alerts, also known as alarms, that record the phenomenon of anomalies. Due to the topological relationships between system components, a system fault in a system component may affect other components and result in various local anomalies and generate multiple alerts across different components. Therefore, to facilitate troubleshooting, alerts of the same system fault are usually correlated into one group, called alert incident. However, although there are existing approaches that can automatically correlate alerts for operations engineers, analyzing alert incidents still rely on manual work. In this paper, we propose an approach, VOCE (Virtual On-Call Engineer). Using the emerging capabilities of a large language model, VOCE can automatically comprehend the anomaly information described by alerts and emulate the process of operations engineers analyzing an alert incident. Extensive experiments conducted on real alert incidents and two popular large language models demonstrate the effectiveness and efficiency of VOCE in automatically analyzing alert incidents.
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Lazard, Alexander. "Alert." In An Introduction to Inclusive Healthcare Design. Routledge, 2024. http://dx.doi.org/10.4324/9781003414902-11.

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Nahler, Gerhard. "safety alert." In Dictionary of Pharmaceutical Medicine. Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_1255.

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Wakolbinger, Manfred. "Poison Alert." In Unter der Oberfläche / Under the Surface. Springer Vienna, 2012. http://dx.doi.org/10.1007/978-3-7091-1075-1_4.

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Tomkowiak, Ingrid. "Atomic Alert!" In Parole(n) - Politische Dimensionen von Kinder- und Jugendmedien. J.B. Metzler, 2020. http://dx.doi.org/10.1007/978-3-476-04848-6_21.

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Bell, Mary Ann, Bobby Ezell, and James L. Van Roekel. "AMBER Alert." In Cybersins and Digital Good Deeds. CRC Press, 2024. http://dx.doi.org/10.1201/9781003573302-3.

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Petonito, Gina, and Glenn W. Muschert. "Silver Alert." In Critical Gerontology Comes of Age. Routledge, 2018. http://dx.doi.org/10.4324/9781315209371-9.

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Weik, Martin H. "alert message." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_465.

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Weik, Martin H. "alert system." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_466.

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Duffy, Peter. "Staying Alert." In Youth and Theatre of the Oppressed. Palgrave Macmillan US, 2010. http://dx.doi.org/10.1057/9780230105966_10.

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Conference papers on the topic "Alert"

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Joshi, Kalpesh, Isha Sahasrabuddhe, Kshitij Sahane, Raj Bapat, Aditya Sahane, and Riddhi Sadavarte. "Social Work Alert." In 2024 International Conference on Intelligent Systems and Advanced Applications (ICISAA). IEEE, 2024. https://doi.org/10.1109/icisaa62385.2024.10828672.

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Lanigan, Trevor, Stephanie Anderson, Alexus Cottonham, and Gregory Marzolf. "Expanding the Emergency Alert System Enterprise with Space-Based Emergency Alerts." In 2024 19th Annual System of Systems Engineering Conference (SoSE). IEEE, 2024. http://dx.doi.org/10.1109/sose62659.2024.10620961.

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B, Adhavan, and Nandhan B. "Smart Security Alert System." In 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC). IEEE, 2024. http://dx.doi.org/10.1109/icsseecc61126.2024.10649500.

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Kumar, Vinay, Aarav Dwivedi, Aryan Vishwakarma, and Nidhi Gupta. "Driver Drowsiness Alert System." In 2024 International Conference on Computing, Sciences and Communications (ICCSC). IEEE, 2024. https://doi.org/10.1109/iccsc62048.2024.10830397.

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Satti, Satish Kumar, Goluguri N. V. Rajareddy, N. V. Vishnumurthy Ravipati, and S. P. N. L. Gayatri Samanvita. "Drowsy Alert: A System to Detect and Alert Driver's Drowsiness for Road Safety." In 2024 IEEE Students Conference on Engineering and Systems (SCES). IEEE, 2024. http://dx.doi.org/10.1109/sces61914.2024.10652546.

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Patil, Shreya, Shankar R, B. S. Srividya, Lassika Agarwal, and Rheya J. "Women Safety Alert System Using IoT with Fingerprint Authentication and Real-Time Alerts." In 2025 International Conference on Computing for Sustainability and Intelligent Future (COMP-SIF). IEEE, 2025. https://doi.org/10.1109/comp-sif65618.2025.10969885.

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Saktheeswari, R., K. Prathibanandhi, C. Yaashuwanth, and R. Sivaprasad. "Real Time Violence Alert System." In 2024 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS). IEEE, 2024. https://doi.org/10.1109/icpects62210.2024.10780147.

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Nandeshwar, Vikas J., Arya B. Shinde, Vishwatej M. Shende, et al. "Spit Detection and Alert System." In 2024 4th Asian Conference on Innovation in Technology (ASIANCON). IEEE, 2024. https://doi.org/10.1109/asiancon62057.2024.10837858.

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Srinivasan, Simritha, Nithishkumar R, Pragatheeswari G, Adhil Ameer T, and Ramya G. "Smart Attendance with IoT Alert." In 2024 International Conference on Communication, Computing and Energy Efficient Technologies (I3CEET). IEEE, 2024. https://doi.org/10.1109/i3ceet61722.2024.10993962.

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Kang, Hyunjoo, Seung-Hee Oh, and Sang-Lim Ju. "Methods for Managing Geocode Indicating Alert Area of Emergency Alert Messages via Mobile Network." In 2024 15th International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2024. https://doi.org/10.1109/ictc62082.2024.10827139.

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Reports on the topic "Alert"

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Hruska, J. Magnetic alert messages. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1987. http://dx.doi.org/10.4095/315280.

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Katz, D. IP Router Alert Option. RFC Editor, 1997. http://dx.doi.org/10.17487/rfc2113.

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Partridge, C., and A. Jackson. IPv6 Router Alert Option. RFC Editor, 1999. http://dx.doi.org/10.17487/rfc2711.

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JHA, Anil. Prakop Alert - Mobile App. International Centre for Integrated Mountain Development (ICIMOD), 2024. http://dx.doi.org/10.53055/icimod.1043.

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Prakop Alert offers real-time weather and flood forecasts. This free app provides detailed information in Nepali and English on rainfall, temperature, wind, lightning, and streamflow for rivers in Nepal. This app is available to download on the Android Play Store.
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Upton, Jaki F., and Steven L. Stein. Responder Technology Alert (February 2015). Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1188908.

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Rosenthal, D. A. Geophysical Alert Broadcast User's Guide. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada224270.

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Niebergall, Gordon. Air Sovereignty Alert: America's Security Blanket. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada499110.

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Upton, Jaki F., and Steven L. Stein. Responder Technology Alert Monthly (December 2014). Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1178863.

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Upton, Jaki F., and Steven L. Stein. Responder Technology Alert Monthly (January 2015). Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1178864.

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Le, F., ed. IP Router Alert Considerations and Usage. RFC Editor, 2011. http://dx.doi.org/10.17487/rfc6398.

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