Relevant bibliographies by topics / Incident database

Contents

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

Academic literature on the topic 'Incident database'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Incident database"

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Aubé-Maurice, J., L. Rochette, and C. Blais. "Divergent associations between incident hypertension and deprivation based on different sources of case identification." Chronic Diseases and Injuries in Canada 32, no. 3 (2012): 121–30. http://dx.doi.org/10.24095/hpcdp.32.3.02.

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Introduction Studies suggest that hypertension is more prevalent in the most deprived. Our objective was to examine the association between incident hypertension and deprivation in Quebec based on different modes of case identification, using two administrative databases. Methods We identified new incident cases of hypertension in 2006/2007 in the population aged 20 years plus. Socio-economic status was determined using a material and social deprivation index. Negative binomial regression analyses were carried out to examine the association between incident hypertension and deprivation, adjust
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McGregor, Sean. "Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 17 (2021): 15458–63. http://dx.doi.org/10.1609/aaai.v35i17.17817.

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Mature industrial sectors (e.g., aviation) collect their real world failures in incident databases to inform safety improvements. Intelligent systems currently cause real world harms without a collective memory of their failings. As a result, companies repeatedly make the same mistakes in the design, development, and deployment of intelligent systems. A collection of intelligent system failures experienced in the real world (i.e., incidents) is needed to ensure intelligent systems benefit people and society. The AI Incident Database is an incident collection initiated by an industrial/non-prof
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Ross, B. C. "A Transport Incident Database." International Journal of Radioactive Materials Transport 4, no. 2 (1993): 117–19. http://dx.doi.org/10.1179/rmt.1993.4.2.117.

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Paeth, Kevin, Daniel Atherton, Nikiforos Pittaras, Heather Frase, and Sean McGregor. "Lessons for Editors of AI Incidents from the AI Incident Database." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 28 (2025): 28946–53. https://doi.org/10.1609/aaai.v39i28.35163.

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As artificial intelligence (AI) systems become increasingly deployed across the world, they are also increasingly implicated in AI incidents – harm events to individuals and society. As a result, industry, civil society, and governments worldwide are developing best practices and regulations for monitoring and analyzing AI incidents. The AI Incident Database (AIID) is a project that catalogs AI incidents and supports further research by providing a platform to classify incidents for different operational and research-oriented goals. This study reviews the AIID’s dataset of 750+ AI incidents an
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Gopalaswami, Nirupama, and Zhe Han. "Analysis of laboratory incident database." Journal of Loss Prevention in the Process Industries 64 (March 2020): 104027. http://dx.doi.org/10.1016/j.jlp.2019.104027.

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Cristina Galassi, M., Efthymia Papanikolaou, Daniele Baraldi, et al. "HIAD – hydrogen incident and accident database." International Journal of Hydrogen Energy 37, no. 22 (2012): 17351–57. http://dx.doi.org/10.1016/j.ijhydene.2012.06.018.

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Guo, Diansheng, Ke Liao, and Michael Morgan. "Visualizing Patterns in a Global Terrorism Incident Database." Environment and Planning B: Planning and Design 34, no. 5 (2007): 767–84. http://dx.doi.org/10.1068/b3305.

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The terrorism database includes more than 27000 terrorism incidents between 1968 and 2006. Each incident record has spatial information (country names for all records and city names for some records), a time stamp (ie year, month, and day), and several other fields (eg tactics, weapon types, target types, fatalities, and injuries). We introduce a unified visualization environment that is able to present various types of patterns and thus to facilitate explorations of the incident data from different perspectives. With the visualization environment one can visualize either spatiomultivariate, s
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Rodrigues, Rowena, Anais Resseguier, and Nicole Santiago. "When Artificial Intelligence Fails." Public Governance, Administration and Finances Law Review 8, no. 2 (2023): 17–28. http://dx.doi.org/10.53116/pgaflr.7030.

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Diverse initiatives promote the responsible development, deployment and use of Artificial Intelligence (AI). AI incident databases have emerged as a valuable and timely learning resource and tool in AI governance. This article assesses the value of such databases and outlines how this value can be enhanced. It reviews four databases: the AI Incident Database, the AI, Algorithmic, and Automation Incidents and Controversies Repository, the AI Incident Tracker and Where in the World Is AI. The article provides a descriptive analysis of these databases, examines their objectives, and locates them
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Hassane, TAHIR. "Context-based techniques for improving database management." International Journal of Computer Science Issues 15, no. 6 (2018): 28–35. https://doi.org/10.5281/zenodo.2544623.

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The business computer applications abound by a wide variety of “incidents”, some of them are minor and some of them are complex requiring high expert skills and efficient collaboration between experts in order to solve them. These practices reflect the building of operational knowledge, step by step, by Database Administrators (DBAs). They are collected and compared by organizations in order to establish secure procedures for encountered incidents. This kind of procedures can be seen as internal procedures as they have been established within an organization and not delivered by DB
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Ledford, Theodore Dreyfus. "Does artificial intelligence harm labour? Investigating the limitations of incident trackers as evidence for policymaking." Information Research an international electronic journal 30, iConf (2025): 486–99. https://doi.org/10.47989/ir30iconf47296.

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Introduction. From the point of view of public policy, artificial intelligence (AI) is an emerging technology with as-yet-unknown risks. AI incident trackers collect harms and risks to inform policymaking. We investigate how labour is represented in two popular AI incident trackers. Our goal is to understand how well the knowledge organization of these incident trackers reveals labour-related risks for AI in the workplace, with a focus on how AI is impacting and expected to impact workers within the United States. Data and Analysis. We search for and analyse labour-related incidents in two AI
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Dissertations / Theses on the topic "Incident database"

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Tejkl, Jakub. "Návrh bezpečnostní studie jako prostředku ke zvyšování bezpečnosti civilního letectví v ČR." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2016. http://www.nusl.cz/ntk/nusl-241726.

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The focus of this diploma thesis is to create a safety study which can be used as a tool to improve the safety of civil aviation. In the theoretical part of this thesis consideration is given to important organizations that are involved in creating legislation for civil aviation. Further, organizations which investigate aviation events were carefully examined and subsequently compared (ÚZPLN and BEA). The second part of this thesis consists of an analysis of events from 2014 using the ECCAIRS database from which were obtained suitable topics for the draft safety study. Finally a draft outline
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Miller, William B. "Classifying and Cataloging Cyber-Security Incidents Within Cyber-Physical Systems." BYU ScholarsArchive, 2014. https://scholarsarchive.byu.edu/etd/4345.

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In the past, there were perceived delineations between the cyber world and the physical world. We are becoming increasingly aware of the overlap between these two worlds, and the overlap itself is increasing. The overlap between these two worlds is known as cyber-physical systems. There have been several incidents involving cyber-physical systems and the number of these incidents is increasing dramatically. In the past there has been no effort to identify methods for describing these incidents in the unique context of cyber-physical systems. This research provides a taxonomy for classifying th
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Medupe, Tsietsi Jacob. "Configuration management data base in an information and communication technology environment / T.J. Medupe." Thesis, North-West University, 2009. http://hdl.handle.net/10394/4769.

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There are more requirements for business to be able to run its operations successfully in terms of legal compliance and revenue streams optimisations. Businesses are placing high demands on Information and Communication Technology (ICT) to adapt to changing conditions. However, ICT organisations tasked with providing increased service levels at lower costs do not have the resources to reinvent itself with every technological or regulatory change. Without frameworks in place to leverage automation and best practices, these ICT, organisations are consumed with the day-to-day operations of ICT wi
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Anand, Sumit. "Novel applications of data mining methodologies to incident databases." Texas A&M University, 2003. http://hdl.handle.net/1969.1/3998.

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Incident databases provide an excellent opportunity to study the repeated situations of incidents in the process industry. The databases give an insight into the situation which led to an incident, and if studied properly can help monitor the process, equipment and chemical involved more closely, and reduce the number of incidents in the future. This study examined a subset of incidents from National Response Center’s Incident database, focusing mainly on fixed facility incidents in Harris County, Texas from 1990 to 2002. Data mining has been used in the financial and marketing arena for many
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Henriksson, Jonas. "Automated Cross-Border Mutual Legal Assistance in Digital Forensics (AUTOMLA) : A global realized Enterprise Architecture." Thesis, Högskolan i Halmstad, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-44824.

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Organized cybercrime has no borders in cyberspace. This paper suggests a state-of-the-art architected solution for a global Automated cross-border mutual legal assistance system within Digital Forensic (AUTOMLA). The Enterprise framework with technical viewpoint enables international collaboration between sovereign countries Fusion Centers. The evaluation concludes a user interface built in React, middleware Apollo with schema support linked to graph database Neo4j. GraphQL is the preferred application protocol over REST. Fusion Centers API is deployed as federated gateways, and business funct
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Obidullah, A. S. M. "Use of incident databases for cause and consequence analysis and national estimates." Texas A&M University, 2006. http://hdl.handle.net/1969.1/4867.

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Many incidents have occurred because industries have ignored past incidents or failed to learn lessons from the past. Incident databases provide an effective option for managing large amounts of information about the past incidents. Analysis of data stored in existing databases can lead to useful conclusions and reduction of chemical incidents and consequences of incidents. An incident database is a knowledge based system that can give an insight to the situation which led to an incident. Effective analysis of data from a database can help in development of information that can help reduce fut
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Braden, Thomas J. "The Incident Dispatching and Tracking System." UNF Digital Commons, 2000. http://digitalcommons.unf.edu/etd/264.

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The Incident Dispatching and Tracking System (IDTS) was developed to facilitate the technical support of an organization. IDTS provides a means by which a user may submit their issue/problem to the system and receive a unique trouble ticket number. This number can then be used to view the status of that record, minimizing the need for inquiries to the technical support team. IDTS also provides a dispatching function that assigns each trouble ticket to a technician that specializes in that type of issue. Finally, there is a reporting function that allows the technical support team to view the c
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Malley, Mark G. "Proactive IT Incident Prevention: Using Data Analytics to Reduce Service Interruptions." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/3404.

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The cost of resolving user requests for IT assistance rises annually. Researchers have demonstrated that data warehouse analytic techniques can improve service, but they have not established the benefit of using global organizational data to reduce reported IT incidents. The purpose of this quantitative, quasi-experimental study was to examine the extent to which IT staff use of organizational knowledge generated from data warehouse analytical measures reduces the number of IT incidents over a 30-day period, as reported by global users of IT within an international pharmaceutical company headq
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Ameri, Keivan. "Analisi e sviluppo di un modulo di quantificazione georeferenziata del rischio di incidente a condotte sottomarine." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20909/.

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La presente tesi riguarda l’automatizzazione dello studio dell’interazione del traffico marittimo con le condotte sottomarine grazie alla messa a punto di un plugin per l’applicazione open-source QGIS. Partendo da un database SpatiaLite (estensione spaziale di SQLite per la gestione di dati geografici), che si riferisce ad un determinata condotta sottomarina, l’obiettivo principale del lavoro è stato quello di automatizzare tramite un plugin, il caricamento di layer e grafici su QGIS. Tale automazione è stata pensata con il fine di permettere a utenti non pratici con i sistemi GIS, di poter v
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McLean, Mark Edward. "The incidence of Guillain-Barre syndrome in Ontario and Quebec, 1983-1989, using hospital-service databases." Thesis, University of Ottawa (Canada), 1992. http://hdl.handle.net/10393/7478.

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Background. Guillain-Barre syndrome (GBS) is of public health interest in Canada, as well as the rest of North America, for two main reasons. It is occasionally a vaccine-associated adverse event and is also a differential diagnosis of poliomyelitis. Objectives. (1) To ascertain the incidence of GBS in the Canadian provinces of Ontario and Quebec for the years 1983-1989, inclusive. (2) To demonstrate the feasibility of measuring the incidence of GBS through internal record linkage of Canadian hospital-service data. Results. 1,302 and 1,031 records representing GBS incident admissions in Ontari
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Books on the topic "Incident database"

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Thomas, G. O. IRID: Specifications for the ionising radiations incident database. National Radiological Protection Board, 1996.

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NGO Committee on Disarmament, Peace, and Security, ed. Developing a biological incident database: [presented] 23 October 2008, United Nations, New York. United Nations, 2009.

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Lester, Peter F. An investigation of turbulence incidents: Final report. Dept. of Meteorology, San Jose State University, 1996.

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Dickinson, Carol R. The quality of cancer incidence data in North Carolina: An evaluation of the Central Cancer Registry 1990 database. N.C. Dept. of Environment, Health and Natural Resources, State Center for Health and Environmental Statistics, 1992.

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Dickinson, Carol R. The quality of cancer incidence data in North Carolina: An evaluation of the Central Cancer Registry 1990 database. N.C. Dept. of Environment, Health and Natural Resources, State Center for Health and Environmental Statistics, 1992.

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Fernandez-Lanier, Adriana. Comparison of domestic violence reporting and arrest rates in New York State: Analysis of the 1997 and 2000 domestic incident statistical databases. New York State Division of Criminal Justice Services, Office of Justice Systems Analysis, Domestic Violence Research Unit, 2002.

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Group, Search, ed. Demonstrating the operational utility of incident-based data for local crime analysis: Reporting systems in Tacoma, Washington, and New Bedford, Massachusetts. U.S. Department of Justice, Office of Justice Programs, Bureau of Justice Statistics, 1994.

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United States. Bureau of Justice Statistics. and Search Group, eds. Demonstrating the operational utility of incident-based data for local crime analysis: Reporting systems in Tacoma, Washington, and New Bedford, Massachusetts. U.S. Dept. of Justice, Office of Justice Programs, Bureau of Justice Statistics, 1994.

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Robertson, D. S. The Glasgow database project: The second report on the incidence and effects of housing rehabilitation spending in the City of Glasgow, 1974-1984. Glasgow City Housing, 1986.

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Robertson, Douglas S. The Glasgow database project: The second report on the incidence and effects of housing rehabilition spending in the city of Glasgow 1974-1984. Centre for Housing Research, 1986.

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Book chapters on the topic "Incident database"

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Chiu, Chih-Chung, and Kuo-Sui Lin. "Importance-Performance Analysis Based Evaluation Method for Security Incident Management Capability." In Intelligent Information and Database Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54430-4_18.

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Nesterov, Maksym, Igor Kotsiuba, Inna Skarga-Bandurova, and Tetiana Biloborodova. "Database Incident Response and Forensic Preparation Through the Performance Features." In Studies in Computational Intelligence. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74970-5_22.

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Zhang, Xingguo, Daiki Ikami, and Pongsathorn Raksincharoensak. "Robust 3D On-Road Object Detection and Distance Estimation for Active Vehicle Control Systems Based on Monocular Camera Image Data." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_65.

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Abstract3D object detection from monocular camera videos constitutes a critical research domain. Achieving robust 3D object detection in databases lacking annotated information poses a highly challenging task. This paper proposes a simple yet effective transfer learning approach, integrating data alignment, 3D object detection, and dynamic result correction. Vanishing point detection is employed to infer camera angles in diverse scenes, and preprocessing of new data is conducted by considering the camera's pitch angle and vanishing point position. Subsequently, MonoDETR are applied for depth e
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Zhong, Haoti, David J. Miller, and Anna Squicciarini. "Flexible Inference for Cyberbully Incident Detection." In Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10997-4_22.

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Nieuwenhuijse, Alexander, Jorn Bakker, and Mykola Pechenizkiy. "Finding Incident-Related Social Media Messages for Emergency Awareness." In Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46131-1_15.

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Awano, Yuki, Qiang Ma, and Masatoshi Yoshikawa. "Cause Analysis of New Incidents by Using Failure Knowledge Database." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32597-7_8.

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Gupta, Nisha, Kritika Anand, and Ashish Sureka. "Pariket: Mining Business Process Logs for Root Cause Analysis of Anomalous Incidents." In Databases in Networked Information Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16313-0_19.

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Radlauer, Don. "Incident and Casualty Databases as a Tool for Understanding Low-Intensity Conflicts." In Intelligence and Security Informatics. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11427995_13.

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Chelly Dagdia, Zaineb, Christine Zarges, Benjamin Schannes, et al. "Rough Set Theory as a Data Mining Technique: A Case Study in Epidemiology and Cancer Incidence Prediction." In Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10997-4_27.

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Brauner, Florian, Andreas Lotter, Ompe Aime Mudimu, and Alex Lechleuthner. "Cologne Mass Casualty Incident Exercise 2015—Using Linked Databases to Improve Risk and Crisis Management in Critical Infrastructure Protection." In Operations Research Proceedings. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-42902-1_46.

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Conference papers on the topic "Incident database"

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Xia, Ye, Gaurav Bastola, Zhouhui Shen, and Tiantao He. "Enhancing Bridge Structural Health Monitoring Through Acoustic Sensing: A Comprehensive Approach to Traffic Analysis and Incident Detection." In IABSE Congress, San José 2024: Beyond Structural Engineering in a Changing World. International Association for Bridge and Structural Engineering (IABSE), 2024. https://doi.org/10.2749/sanjose.2024.1460.

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<p>This paper introduces a pioneering approach to bridge structural health monitoring through the development of a unified microphone assembly. This system enhances the detection and localization of vehicles on bridges by utilizing generalized cross-correlation and Time Difference of Arrival (TDOA) analysis. A novel combination of audio features is processed using Convolutional Neural Networks (CNN) and Vision Transformers (ViT) to classify vehicle types while detecting critical incidents like crashes and skidding. The proposed integrated system processes the Acoustic Emissions into a co
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Shin, Sanghyun, Yiqing Ding, and Inseok Hwang. "Cockpit Alarm Detection and Identification Algorithm for Helicopters." In Vertical Flight Society 72nd Annual Forum & Technology Display. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11532.

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In recent years, the National Transportation Safety Board (NTSB) has emphasized the importance of analyzing flight data such as cockpit voice recordings as an effective method to improve the safety of helicopter operations. Cockpit voice recordings contain the sounds of engines, crew conversations, alarms, switch activations, and others within a cockpit. Thus, analyzing cockpit voice recordings can contribute to identifying the causes of an accident or incident. Among various types of the sounds in cockpit voice recordings, this paper focuses on cockpit alarm sounds as an object of analysis. I
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Agarwal, Avinash, and Manisha J. Nene. "Standardised Schema and Taxonomy for AI Incident Databases in Critical Digital Infrastructure." In 2024 IEEE Pune Section International Conference (PuneCon). IEEE, 2024. https://doi.org/10.1109/punecon63413.2024.10895867.

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Shan, Ke, and Jian Shuai. "Statistical Analyses of Incidents on Oil and Gas Pipelines Based on Comparing Different Pipeline Incident Databases." In ASME 2017 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/pvp2017-65289.

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Pipelines are regarded as one of the most practical and economical modes for transporting dangerous and combustible substances, such as oil and gas. However, the use of historical failure data in qualitative risk assessment of oil and gas pipelines is unusual due to lack of data or incomplete information. The pipeline incident database (PID) provides valuable information for researchers to identify potential threats of oil and gas pipeline systems, and catty out effective risk assessment. In this study, pipeline failure statistics such as pipeline classifications, incident definitions, failure
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Cistone, James H. "Insights in Mining the NTSB Accident and Incident Database." In 16th AIAA Aviation Technology, Integration, and Operations Conference. American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-3296.

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Liu, Shengli, Yongtu Liang, Xiao Wang, and Dong Han. "Statistical Analyses of Incidents on Onshore Hazardous Liquid Pipelines Based on PHMSA Database." In 2018 12th International Pipeline Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/ipc2018-78528.

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To improve the safety of a pipeline system, engineers use different methods to diagnose the hazardous pipeline accidents. However, most methods ignore the time dependence of pipeline failures. The aim of this paper is to provide a novel approach to analyzing the hazardous liquid pipeline incidents’ temporal structure. The database of hazardous liquid spillages from the US between 2002 and 2018 is collected by the Pipeline Hazardous Material Safety Administration of the US Department of Transportation. The result suggests that the whole oil pipeline incident sequence cannot be modeled as a Pois
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Bolt, R., A. Hilgenstock, C. Kolovich, D. Velez Vega, A. Cappanera, and O. Rasmussen. "A Guideline: Using or Creating Incident Databases for Natural Gas Transmission Pipelines." In 2006 International Pipeline Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/ipc2006-10619.

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This report details the work undertaken by the International Gas Union (IGU) Study Group 3.4 during the triennium 2003–2006. The initiative that launched this work came during the 22nd World Gas Conference where it was noticed that use of pipeline incident information often is not fit for purpose. A comparative analysis has been carried out considering the most frequently used and reliable high pressure gas pipeline incident databases. The four main objectives of the analysis were to determine the differences and similarities of existing databases, create a reference model to be used when deve
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Sengupta, Subhadip. "Predicting the Risk Ranking of the Incidents in Root Cause Analysis Database through Incident Risk Classifier." In 2022 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2022. http://dx.doi.org/10.1109/rams51457.2022.9893943.

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Ness, James W., Stephen W. Hoxie, Harry Zwick, Bruce E. Stuck, David J. Lund, and Elmar T. Schmeisser. "Database structure for the Laser Accident and Incident Registry (LAIR)." In BiOS '97, Part of Photonics West, edited by Bruce E. Stuck and Michael Belkin. SPIE, 1997. http://dx.doi.org/10.1117/12.275237.

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Alves, Douglas, Ana Bahiense, Michelle Bastos, Cassiano Borges, and Gilson Lima. "A Brazilian Pipeline Incident Database: The PETROBRAS and TRANSPETRO Initiative." In 2018 12th International Pipeline Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/ipc2018-78584.

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Statistical data available from several international sources, such as the reports provided by the European institutions EGIG, CONCAWE and UKOPA, as well as by the American Department of Transportation – DOT, indicate that pipelines represent the safest mode of transportation for hydrocarbons and other dangerous products when compared to other alternatives, such as road, rail, waterway, etc. Operators ensure a high level of safety of their pipelines by investing large amounts of effort and resources in accident prevention, efficient contingency procedures, environmental protection and reliabil
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Reports on the topic "Incident database"

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Chien, Stanley, Yaobin Chen, Lauren Christopher, Mei Qiu, and Zhengming Ding. Road Condition Detection and Classification from Existing CCTV Feed. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317364.

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The Indiana Department of Transportation (INDOT) has approximately 500 digital cameras along highways in populated areas of Indiana. These cameras are used to monitor traffic conditions around the clock, all year round. Currently, the videos from these cameras are observed one-by-one by human operators looking for traffic conditions and incidents. The main objective of this research was to develop an automatic, real-time system to monitor traffic conditions and detect incidents automatically. The Transportation and Autonomous Systems Institute (TASI) of the Purdue School of Engineering and Tec
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Kolovitch, Haines, and Trench. L52317 Pipeline Facility Incident Data Review and Statistical Analysis. Pipeline Research Council International, Inc. (PRCI), 2008. http://dx.doi.org/10.55274/r0010675.

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There is a need to improve the industry understanding of leak sources, failure mechanisms and causes within pipeline facilities through statistical analysis, and to use the findings of this effort to develop a PRCI Facilities Integrity Management Program, if appropriate, by developing processes and/or procedures for reducing/preventing leaks that could affect safety, the environment, and operations. This document presents an analysis of reportable incidents and releases from facilities for hazardous liquid and gas transmission pipeline systems in the U.S. For liquid pipelines, facilities� incl
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McKinnon, Mark, Craig Weinschenk, and Daniel Madrzykowski. Materials and Products Database Technical Reference Guide. Fire Safety Research Institute, UL Research Institutes, 2023. http://dx.doi.org/10.54206/102376/rnnp3809.

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For the past several years, the NIJ Technology Working Group’s Operational Requirements for Fire and Arson Investigation have included several scientific research needs that require improved knowledge of properties of materials that are common in the built environment, and therefore likely to be involved in a fire scene. The specific areas of research include: adequate materials data inputs for accurate computer models, understanding the effect of materials properties on the development and interpretation of fire patterns, and evaluation of incident heat flux profiles to walls and neighboring
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McKinnon, Mark, and Daniel Madryzkowski. Literature Review to Support the Development of a Database of Contemporary Material Properties for Fire Investigation Analysis. UL Firefighter Safety Research Institute, 2020. http://dx.doi.org/10.54206/102376/wmah2173.

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The NIJ Technology Working Group’s Operational Requirements (TWG ORs) for Fire and Arson Investigation have included several scientific research needs that require knowledge of the thermophysical properties of materials that are common in the built environment, and therefore likely to be involved in a fire scene. The specific areas of research include: adequate materials property data inputs for accurate computer models, understanding the effect of materials properties on the development and interpretation of fire patterns, and evaluation of incident heat flux profiles to walls and neighboring
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Chien, Stanley, Lauren Christopher, Yaobin Chen, Mei Qiu, and Wei Lin. Integration of Lane-Specific Traffic Data Generated from Real-Time CCTV Videos into INDOT's Traffic Management System. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317400.

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The Indiana Department of Transportation (INDOT) uses about 600 digital cameras along populated Indiana highways in order to monitor highway traffic conditions. The videos from these cameras are currently observed by human operators looking for traffic conditions and incidents. However, it is time-consuming for the operators to scan through all video data from all the cameras in real-time. The main objective of this research was to develop an automatic and real-time system and implement the system at INDOT to monitor traffic conditions and detect incidents automatically. The Transportation and
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Flamberg, Stephanie. PR-727-23700-R01 Underground Storage Failure and Near Miss Trending. Pipeline Research Council International, Inc. (PRCI), 2024. http://dx.doi.org/10.55274/r0000080.

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This report describes the contents of a comprehensive Microsoft Excel database of underground storage (UGS) failure and near miss incidents. The database captures underground storage-related incidents from depleted oil and gas reservoir, aquifer, and salt cavern facilities in the United States, Canada, and Europe sourced from publicly available literature and participating, anonymous operators. The intent of the database is to help operators understand and improve key practices involved in the design, construction, operations, maintenance, and integrity management of underground storage assets
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Chou, Roger, Rongwei Fu, Tracy Dana, Miranda Pappas, Erica Hart, and Kimberly M. Mauer. Interventional Treatments for Acute and Chronic Pain: Systematic Review. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepccer247.

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Objective. To evaluate the benefits and harms of selected interventional procedures for acute and chronic pain that are not currently covered by the Centers for Medicare & Medicaid Services (CMS) but are relevant for and have potential utility for use in the Medicare population, or that are covered by CMS but for which there is important uncertainty or controversy regarding use. Data sources. Electronic databases (Ovid® MEDLINE®, PsycINFO®, the Cochrane Central Register of Controlled Trials, and the Cochrane Database of Systematic Reviews) to April 12, 2021, reference lists, and submission
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Zou, Yihua, Fangqin Tong, Meng Guan, Chun Bi, and Xia Wang. Efficacy and safety of Anti-angiogenesis combined with chemoradiotherapy in the treatment of locally advanced cervical cancer: A Meta-Analysis of Randomized Controlled Trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.7.0077.

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Review question / Objective: To Systematicly evaluate of the clinical efficacy and safety of the combination of anti-angiogenesis and simultaneous radiotherapy in the treatment of cervical cancer. Condition being studied: Locally advanced cervical cancer. We searched databases including PubMed, Cochrane Library, Embase, Web of Science CNKI, Wanfang, VIP and CBM, and the International Clinical Trial Registry Platform (ICTRP) and the Chinese Clinical Registry(ChiCTR) to collect the clinical studies about the randomized controlled trial (RCTS) of anti-angiogenic drugs (mainly Endu, apatinib and b
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Wang, Zhen, Alaa Al Nofal, Meera Shah, et al. Association of Digestible Carbohydrate Intake With Cardiovascular Disease, Type 2 Diabetes, Obesity, and Body Composition. Agency for Healthcare Research and Quality (AHRQ), 2025. https://doi.org/10.23970/ahrqepcsr_carbcardio.

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Background. Epidemiological studies have shown inconsistent findings regarding the effect of dietary digestible carbohydrate intake on the risk of cardiovascular disease and type 2 diabetes (T2D). Synthesis of such evidence is important for determining the Dietary Reference Intakes (DRI) for carbohydrates, which can have consequences on incidence and morbidity of chronic conditions. Methods. Two systematic reviews were conducted, one addressing cardiovascular outcomes and the second addressing incidence of T2D, body weight, and composition. We searched several databases from January 1, 2000, t
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Zeng, Siyao, Lei Ma, Lishan Yang, et al. Advantages of damage control surgery over conventional surgery inmultiple trauma: a meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.10.0006.

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Review question / Objective: This meta-analysis aims to explore whether damage control surgery has advantages over traditional surgery in the treatment of multiple trauma. Information sources: The Chinese Biomedical literature (CBM), Chinese National Knowledge Infrastructure (CNKI), Weipu (VIP), Duxiu, WanFang, Web of sciense, PubMed, Scopus, Ovid, EMbase, ProQuest, Cochrane, Chinese clinical trial Registry and Clinical Trials.gov databases. Main outcome(s): mortality rate, the success rate of rescue, In-hospital length of stay, ICU length of stay, the overall incidence rate of complications,
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