Relevant bibliographies by topics / Integrated surveillance system

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

Academic literature on the topic 'Integrated surveillance system'

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Published: 1 February 2025

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Journal articles on the topic "Integrated surveillance system"

1

SHAO Jun-feng, 邵俊峰. "Integrated Launch and Recovery Television Surveillance System." OME Information 28, no. 9 (2011): 54–58. http://dx.doi.org/10.3788/omei20112809.0054.

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Vibhakar, Dhaval, Suraj Jha, Aditya Kamble, and Saurabh Suman. "Integrated CCTV Surveillance System for Public Transportation." International Journal of Engineering and Advanced Technology 10, no. 3 (February 28, 2021): 30–33. http://dx.doi.org/10.35940/ijeat.c2157.0210321.

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The urban center residential district Railway is one in every of the busiest railway stations in Bharat and carries over seven.5 million commuters daily. The railways spreads over 123.78 km (76.91 mi).The Railways encompass thirty-nine stations. Trains typically begin from and terminate at necessary stations. in line with a survey ,the total stats given by the RPF(Railway Police Force) & GRP(GOVERNMENT RAILWAY POLICE), 2,700 railway commuters killed, over 1,400 whereas crossing tracks up until last and this variety has been increasing daily. This is creating railways a dangerous possibility for travel and transportation. The video closed-circuit television used is irving to be not useful and not updated. To overcome this drawback we tend to area unit creating associate integrated video closed-circuit television for detection of crimes and missed objects and explains during this paper.We area unit exploitation high resolution cameras which might focus and might be simply accustomed establish someone and can also be helpful in dark.
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Kvalem, Jon, Rolf-Einar Grini, and Kjell Haugset. "ISACS, an integrated surveillance and control system." Modeling, Identification and Control: A Norwegian Research Bulletin 14, no. 2 (1993): 85–91. http://dx.doi.org/10.4173/mic.1993.2.3.

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Majagah, Koushby, and Syed Haque. "An integrated disaster response information surveillance system." International Journal of Medical Engineering and Informatics 5, no. 4 (2013): 299. http://dx.doi.org/10.1504/ijmei.2013.057182.

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Adiyaryani, Ni Nengah, and Kadek Agus Sudiarawan. "Surveillance Function in Law Enforcement in Indonesia: Integrated Criminal Justice System Perspective." Jurnal Magister Hukum Udayana (Udayana Master Law Journal) 10, no. 3 (September 30, 2021): 471. http://dx.doi.org/10.24843/jmhu.2021.v10.i03.p04.

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This study aims to determine the role of law enforcement officer in integrated criminal justice system and to find the concept of surveillance patterns that need to be established for law enforcement officer for the future integrated criminal justice system (ius constituendum). This is normative legal research using a statutory approach and a conceptual approach. Analysis using qualitative methods and the results are presented in descriptive analysis report. The results show that the integrated criminal justice system did not have an integrated surveillance system in a special form that was implemented by the law enforcement officers and its society yet. It still applying an internal and conventional surveillance pattern. Hence, empowering the existing surveillance pattern and creating an integrated surveillance pattern could be a solution to overcome the weakness of the surveillance system in the Integrated Criminal Justice System nowadays which caused by the fragmented surveillance system without any external-cross institutional surveillance.
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Wang, Haibin, Mahendra Yatawara, Shao-Chi Huang, Kevin Dudley, Christine Szekely, Stuart Holden, and Steven Piantadosi. "The Integrated Proactive Surveillance System for Prostate Cancer." Open Medical Informatics Journal 6, no. 1 (March 2, 2012): 1–8. http://dx.doi.org/10.2174/1874431101206010001.

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In this paper, we present the design and implementation of the integrated proactive surveillance system for prostate cancer (PASS-PC). The integrated PASS-PC is a multi-institutional web-based system aimed at collecting a variety of data on prostate cancer patients in a standardized and efficient way. The integrated PASS-PC was commissioned by the Prostate Cancer Foundation (PCF) and built through the joint of efforts by a group of experts in medical oncology, genetics, pathology, nutrition, and cancer research informatics. Their main goal is facilitating the efficient and uniform collection of critical demographic, lifestyle, nutritional, dietary and clinical information to be used in developing new strategies in diagnosing, preventing and treating prostate cancer. The integrated PASS-PC is designed based on common industry standards – a three tiered architecture and a Service- Oriented Architecture (SOA). It utilizes open source software and programming languages such as HTML, PHP, CSS, JQuery, Drupal and MySQL. We also use a commercial database management system – Oracle 11g. The integrated PASS-PC project uses a “confederation model” that encourages participation of any interested center, irrespective of its size or location. The integrated PASS-PC utilizes a standardized approach to data collection and reporting, and uses extensive validation procedures to prevent entering erroneous data. The integrated PASS-PC controlled vocabulary is harmonized with the National Cancer Institute (NCI) Thesaurus. Currently, two cancer centers in the USA are participating in the integrated PASS-PC project. The final system has three main components: 1. National Prostate Surveillance Network (NPSN) website; 2. NPSN myConnect portal; 3. Proactive Surveillance System for Prostate Cancer (PASS-PC). PASS-PC is a cancer Biomedical Informatics Grid (caBIG) compatible product. The integrated PASS-PC provides a foundation for collaborative prostate cancer research. It has been built to meet the short term goal of gathering prostate cancer related data, but also with the prerequisites in place for future evolution into a cancer research informatics platform. In the future this will be vital for successful prostate cancer studies, care and treatment.
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Carpenter, Chris. "Implementing an Integrated Production Surveillance and Optimization System." Journal of Petroleum Technology 70, no. 03 (March 1, 2018): 73–75. http://dx.doi.org/10.2118/0318-0073-jpt.

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Zaidi, Mussaret B., Juan Jose Calva, Maria Teresa Estrada-Garcia, Veronica Leon, Gabriela Vazquez, Gloria Figueroa, Estela Lopez, et al. "Integrated Food Chain Surveillance System forSalmonellaspp. in Mexico1." Emerging Infectious Diseases 14, no. 3 (March 2008): 429–36. http://dx.doi.org/10.3201/eid1403.071057.

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Zheng, Jin, Dongni Zhang, Zhi Zhang, and Xiaojun Lu. "An integrated system of video surveillance and GIS." IOP Conference Series: Earth and Environmental Science 170 (July 2018): 022088. http://dx.doi.org/10.1088/1755-1315/170/2/022088.

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Lai, Y., P. L. Lim, K. Lim, K. T. Aung, and P. L. Ooi. "Setting up an integrated antimicrobial resistance surveillance system." International Journal of Infectious Diseases 79 (February 2019): 41. http://dx.doi.org/10.1016/j.ijid.2018.11.113.

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Dissertations / Theses on the topic "Integrated surveillance system"

1

Sugianto, Nehemia. "Responsible AI for Automated Analysis of Integrated Video Surveillance in Public Spaces." Thesis, Griffith University, 2021. http://hdl.handle.net/10072/409586.

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Understanding customer experience in real-time can potentially support people’s safety and comfort while in public spaces. Existing techniques, such as surveys and interviews, can only analyse data at specific times. Therefore, organisations that manage public spaces, such as local government or business entities, cannot respond immediately when urgent actions are needed. Manual monitoring through surveillance cameras can enable organisation personnel to observe people. However, fatigue and human distraction during constant observation cannot ensure reliable and timely analysis. Artificial intelligence (AI) can automate people observation and analyse their movement and any related properties in real-time. Analysing people’s facial expressions can provide insight into how comfortable they are in a certain area, while analysing crowd density can inform us of the area’s safety level. By observing the long-term patterns of crowd density, movement, and spatial data, the organisation can also gain insight to develop better strategies for improving people’s safety and comfort. There are three challenges to making an AI-enabled video surveillance system work well in public spaces. First is the readiness of AI models to be deployed in public space settings. Existing AI models are designed to work in generic/particular settings and will suffer performance degradation when deployed in a real-world setting. Therefore, the models require further development to tailor them for the specific environment of the targeted deployment setting. Second is the inclusion of AI continual learning capability to adapt the models to the environment. AI continual learning aims to learn from new data collected from cameras to adapt the models to constant visual changes introduced in the setting. Existing continuous learning approaches require long-term data retention and past data, which then raise data privacy issues. Third, most of the existing AI-enabled surveillance systems rely on centralised processing, meaning data are transmitted to a central/cloud machine for video analysis purposes. Such an approach involves data privacy and security risks. Serious data threats, such as data theft, eavesdropping or cyberattack, can potentially occur during data transmission. This study aims to develop an AI-enabled intelligent video surveillance system based on deep learning techniques for public spaces established on responsible AI principles. This study formulates three responsible AI criteria, which become the guidelines to design, develop, and evaluate the system. Based on the criteria, a framework is constructed to scale up the system over time to be readily deployed in a specific real-world environment while respecting people’s privacy. The framework incorporates three AI learning approaches to iteratively refine the AI models within the ethical use of data. First is the AI knowledge transfer approach to adapt existing AI models from generic deployment to specific real-world deployment with limited surveillance datasets. Second is the AI continuous learning approach to continuously adapt AI models to visual changes introduced by the environment without long-period data retention and the need for past data. Third is the AI federated learning approach to limit sensitive and identifiable data transmission by performing computation locally on edge devices rather than transmitting to the central machine. This thesis contributes to the study of responsible AI specifically in the video surveillance context from both technical and non-technical perspectives. It uses three use cases at an international airport as the application context to understand passenger experience in real-time to ensure people’s safety and comfort. A new video surveillance system is developed based on the framework to provide automated people observation in the application context. Based on real deployment using the airport’s selected cameras, the evaluation demonstrates that the system can provide real-time automated video analysis for three use cases while respecting people’s privacy. Based on comprehensive experiments, AI knowledge transfer can be an effective way to address limited surveillance datasets issue by transferring knowledge from similar datasets rather than training from scratch on surveillance datasets. It can be further improved by incrementally transferring knowledge from multi-datasets with smaller gaps rather than a one-stage process. Learning without Forgetting is a viable approach for AI continuous learning in the video surveillance context. It consistently outperforms fine-tuning and joint-training approaches with lower data retention and without the need for past data. AI federated learning can be a feasible solution to allow continuous learning in the video surveillance context without compromising model accuracy. It can obtain comparable accuracy with quicker training time compared to joint-training.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
Dept Bus Strategy & Innovation
Griffith Business School
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Kontitsis, Michail. "Design and implementation of an integrated dynamic vision system for autonomous systems operating in uncertain domains." [Tampa, Fla] : University of South Florida, 2009. http://purl.fcla.edu/usf/dc/et/SFE0002852.

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Fry, Bryan D. "Test and evaluation of the micro-observer sensor system for use as a seismic surveillance device in an integrated sensor network." Thesis, Monterey, Calif. : Naval Postgraduate School, 2007. http://edocs.nps.edu/npspubs/scholarly/theses/2007/Jun/07Jun%5FFry.pdf.

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Thesis (M.S. in Operations Research)--Naval Postgraduate School, June 2007.
Thesis Advisor(s): Whitaker, Lyn. "June 2007." Description based on title screen as viewed on August 15, 2007. Includes bibliographical references (p. 193-197). Also available in print.
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Johnson, Chukwuemeka Eze. "Development of a framework for Integrated Oil and gas Pipeline Monitoring and Incident Mitigation System (IOPMIMS)." Thesis, University of Wolverhampton, 2017. http://hdl.handle.net/2436/620898.

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The problem of Third Party Interference (TPI) on Oil and Gas Pipelines is on the rise across the world. TPI is not only common in developing countries but is now occasionally experienced in developed countries including Germany and the UK. The risks posed by these third-party activities on Oil and Gas pipelines are enormous and could be measured in terms of financial costs, environmental damages as well as health and safety implications. The quest for an end to these malicious activities has triggered a lot of studies into the root causes of pipeline TPI, other causes of pipeline failure, risks associated with pipeline failure and their mitigation measures. However, despite the significance of the effects of TPI, very little has been done to proffer an enduring solution through research. This research therefore aims at developing a framework for integrated oil and gas pipeline monitoring and incident mitigation system through integration of various wireless sensors for effective monitoring of oil and gas pipelines. Having identified the existing gaps in literature as lack of reliable, accurate and standard method for oil and gas pipeline risk assessment model, the study undertook a quantitative approach to develop an effective Quantitative Risk Assessment (QRA) model for pipelines. The QRA model developed benchmarks pipeline risk assessment and gives the parameters with which standard QRA could be measured. The research findings indicate that risk associated with Nigerian Pipeline system is in the intolerable region whereas TPI is an increasing menace across the globe. Further findings show that Support Vector Machine (SVM) gave the best performance with 91.2% accuracy while Neural Networks (NN) and Decision Tree (DT) gave 63% and 57% accuracies respectively in terms of pipeline failure mode prediction accuracies. It was recommended that operators should draw out Pipeline Integrity Management (PIM) programs and store pipeline data in a format that captures number of fatalities, property damages and costs as well as volume of oil or gas spilled to ensure that accurate data is obtainable for improved PIM. In conclusion, having achieved its aim and objectives evidenced by the framework, model developed, and the recommendations presented, the research has contributed in no small measure to providing a solution to pipeline incidences.
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Shockey, Taylor Morgan. "Analysis and Interpretation of Occupational Exposure Monitoring Data from the Occupational Safety and Health Administration’s Integrated Management Information System (IMIS) and OSHA Information System (OIS), 1979 – 2015." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu155715411553358.

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Hu, Wenbiao. "Applications of Spatio-temporal Analytical Methods in Surveillance of Ross River Virus Disease." Thesis, Queensland University of Technology, 2005. https://eprints.qut.edu.au/16109/1/Wenbiao_Hu_Thesis.pdf.

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The incidence of many arboviral diseases is largely associated with social and environmental conditions. Ross River virus (RRV) is the most prevalent arboviral disease in Australia. It has long been recognised that the transmission pattern of RRV is sensitive to socio-ecological factors including climate variation, population movement, mosquito-density and vegetation types. This study aimed to assess the relationships between socio-environmental variability and the transmission of RRV using spatio-temporal analytic methods. Computerised data files of daily RRV disease cases and daily climatic variables in Brisbane, Queensland during 1985-2001 were obtained from the Queensland Department of Health and the Australian Bureau of Meteorology, respectively. Available information on other socio-ecological factors was also collected from relevant government agencies as follows: 1) socio-demographic data from the Australia Bureau of Statistics; 2) information on vegetation (littoral wetlands, ephemeral wetlands, open freshwater, riparian vegetation, melaleuca open forests, wet eucalypt, open forests and other bushland) from Brisbane City Council; 3) tidal activities from the Queensland Department of Transport; and 4) mosquito-density from Brisbane City Council. Principal components analysis (PCA) was used as an exploratory technique for discovering spatial and temporal pattern of RRV distribution. The PCA results show that the first principal component accounted for approximately 57% of the information, which contained the four seasonal rates and loaded highest and positively for autumn. K-means cluster analysis indicates that the seasonality of RRV is characterised by three groups with high, medium and low incidence of disease, and it suggests that there are at least three different disease ecologies. The variation in spatio-temporal patterns of RRV indicates a complex ecology that is unlikely to be explained by a single dominant transmission route across these three groupings. Therefore, there is need to explore socio-economic and environmental determinants of RRV disease at the statistical local area (SLA) level. Spatial distribution analysis and multiple negative binomial regression models were employed to identify the socio-economic and environmental determinants of RRV disease at both the city and local (ie, SLA) levels. The results show that RRV activity was primarily concentrated in the northeast, northwest and southeast areas in Brisbane. The negative binomial regression models reveal that RRV incidence for the whole of the Brisbane area was significantly associated with Southern Oscillation Index (SOI) at a lag of 3 months (Relative Risk (RR): 1.12; 95% confidence interval (CI): 1.06 - 1.17), the proportion of people with lower levels of education (RR: 1.02; 95% CI: 1.01 - 1.03), the proportion of labour workers (RR: 0.97; 95% CI: 0.95 - 1.00) and vegetation density (RR: 1.02; 95% CI: 1.00 - 1.04). However, RRV incidence for high risk areas (ie, SLAs with higher incidence of RRV) was significantly associated with mosquito density (RR: 1.01; 95% CI: 1.00 - 1.01), SOI at a lag of 3 months (RR: 1.48; 95% CI: 1.23 - 1.78), human population density (RR: 3.77; 95% CI: 1.35 - 10.51), the proportion of indigenous population (RR: 0.56; 95% CI: 0.37 - 0.87) and the proportion of overseas visitors (RR: 0.57; 95% CI: 0.35 - 0.92). It is acknowledged that some of these risk factors, while statistically significant, are small in magnitude. However, given the high incidence of RRV, they may still be important in practice. The results of this study suggest that the spatial pattern of RRV disease in Brisbane is determined by a combination of ecological, socio-economic and environmental factors. The possibility of developing an epidemic forecasting system for RRV disease was explored using the multivariate Seasonal Auto-regressive Integrated Moving Average (SARIMA) technique. The results of this study suggest that climatic variability, particularly precipitation, may have played a significant role in the transmission of RRV disease in Brisbane. This finding cannot entirely be explained by confounding factors such as other socio-ecological conditions because they have been unlikely to change dramatically on a monthly time scale in this city over the past two decades. SARIMA models show that monthly precipitation at a lag 2 months (=0.004,p=0.031) was statistically significantly associated with RRV disease. It suggests that there may be 50 more cases a year for an increase of 100 mm precipitation on average in Brisbane. The predictive values in the model were generally consistent with actual values (root-mean-square error (RMSE): 1.96). Therefore, this model may have applications as a decision support tool in disease control and risk-management planning programs in Brisbane. The Polynomial distributed lag (PDL) time series regression models were performed to examine the associations between rainfall, mosquito density and the occurrence of RRV after adjusting for season and auto-correlation. The PDL model was used because rainfall and mosquito density can affect not merely RRV occurring in the same month, but in several subsequent months. The rationale for the use of the PDL technique is that it increases the precision of the estimates. We developed an epidemic forecasting model to predict incidence of RRV disease. The results show that 95% and 85% of the variation in the RRV disease was accounted for by the mosquito density and rainfall, respectively. The predictive values in the model were generally consistent with actual values (RMSE: 1.25). The model diagnosis reveals that the residuals were randomly distributed with no significant auto-correlation. The results of this study suggest that PDL models may be better than SARIMA models (R-square increased and RMSE decreased). The findings of this study may facilitate the development of early warning systems for the control and prevention of this widespread disease. Further analyses were conducted using classification trees to identify major mosquito species of Ross River virus (RRV) transmission and explore the threshold of mosquito density for RRV disease in Brisbane, Australia. The results show that Ochlerotatus vigilax (RR: 1.028; 95% CI: 1.001 - 1.057) and Culex annulirostris (RR: 1.013, 95% CI: 1.003 - 1.023) were significantly associated with RRV disease cycles at a lag of 1 month. The presence of RRV was associated with average monthly mosquito density of 72 Ochlerotatus vigilax and 52 Culex annulirostris per light trap. These results may also have applications as a decision support tool in disease control and risk management planning programs. As RRV has significant impact on population health, industry, and tourism, it is important to develop an epidemic forecast system for this disease. The results of this study show the disease surveillance data can be integrated with social, biological and environmental databases. These data can provide additional input into the development of epidemic forecasting models. These attempts may have significant implications in environmental health decision-making and practices, and may help health authorities determine public health priorities more wisely and use resources more effectively and efficiently.
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7

Hu, Wenbiao. "Applications of Spatio-temporal Analytical Methods in Surveillance of Ross River Virus Disease." Queensland University of Technology, 2005. http://eprints.qut.edu.au/16109/.

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Abstract:
The incidence of many arboviral diseases is largely associated with social and environmental conditions. Ross River virus (RRV) is the most prevalent arboviral disease in Australia. It has long been recognised that the transmission pattern of RRV is sensitive to socio-ecological factors including climate variation, population movement, mosquito-density and vegetation types. This study aimed to assess the relationships between socio-environmental variability and the transmission of RRV using spatio-temporal analytic methods. Computerised data files of daily RRV disease cases and daily climatic variables in Brisbane, Queensland during 1985-2001 were obtained from the Queensland Department of Health and the Australian Bureau of Meteorology, respectively. Available information on other socio-ecological factors was also collected from relevant government agencies as follows: 1) socio-demographic data from the Australia Bureau of Statistics; 2) information on vegetation (littoral wetlands, ephemeral wetlands, open freshwater, riparian vegetation, melaleuca open forests, wet eucalypt, open forests and other bushland) from Brisbane City Council; 3) tidal activities from the Queensland Department of Transport; and 4) mosquito-density from Brisbane City Council. Principal components analysis (PCA) was used as an exploratory technique for discovering spatial and temporal pattern of RRV distribution. The PCA results show that the first principal component accounted for approximately 57% of the information, which contained the four seasonal rates and loaded highest and positively for autumn. K-means cluster analysis indicates that the seasonality of RRV is characterised by three groups with high, medium and low incidence of disease, and it suggests that there are at least three different disease ecologies. The variation in spatio-temporal patterns of RRV indicates a complex ecology that is unlikely to be explained by a single dominant transmission route across these three groupings. Therefore, there is need to explore socio-economic and environmental determinants of RRV disease at the statistical local area (SLA) level. Spatial distribution analysis and multiple negative binomial regression models were employed to identify the socio-economic and environmental determinants of RRV disease at both the city and local (ie, SLA) levels. The results show that RRV activity was primarily concentrated in the northeast, northwest and southeast areas in Brisbane. The negative binomial regression models reveal that RRV incidence for the whole of the Brisbane area was significantly associated with Southern Oscillation Index (SOI) at a lag of 3 months (Relative Risk (RR): 1.12; 95% confidence interval (CI): 1.06 - 1.17), the proportion of people with lower levels of education (RR: 1.02; 95% CI: 1.01 - 1.03), the proportion of labour workers (RR: 0.97; 95% CI: 0.95 - 1.00) and vegetation density (RR: 1.02; 95% CI: 1.00 - 1.04). However, RRV incidence for high risk areas (ie, SLAs with higher incidence of RRV) was significantly associated with mosquito density (RR: 1.01; 95% CI: 1.00 - 1.01), SOI at a lag of 3 months (RR: 1.48; 95% CI: 1.23 - 1.78), human population density (RR: 3.77; 95% CI: 1.35 - 10.51), the proportion of indigenous population (RR: 0.56; 95% CI: 0.37 - 0.87) and the proportion of overseas visitors (RR: 0.57; 95% CI: 0.35 - 0.92). It is acknowledged that some of these risk factors, while statistically significant, are small in magnitude. However, given the high incidence of RRV, they may still be important in practice. The results of this study suggest that the spatial pattern of RRV disease in Brisbane is determined by a combination of ecological, socio-economic and environmental factors. The possibility of developing an epidemic forecasting system for RRV disease was explored using the multivariate Seasonal Auto-regressive Integrated Moving Average (SARIMA) technique. The results of this study suggest that climatic variability, particularly precipitation, may have played a significant role in the transmission of RRV disease in Brisbane. This finding cannot entirely be explained by confounding factors such as other socio-ecological conditions because they have been unlikely to change dramatically on a monthly time scale in this city over the past two decades. SARIMA models show that monthly precipitation at a lag 2 months (=0.004,p=0.031) was statistically significantly associated with RRV disease. It suggests that there may be 50 more cases a year for an increase of 100 mm precipitation on average in Brisbane. The predictive values in the model were generally consistent with actual values (root-mean-square error (RMSE): 1.96). Therefore, this model may have applications as a decision support tool in disease control and risk-management planning programs in Brisbane. The Polynomial distributed lag (PDL) time series regression models were performed to examine the associations between rainfall, mosquito density and the occurrence of RRV after adjusting for season and auto-correlation. The PDL model was used because rainfall and mosquito density can affect not merely RRV occurring in the same month, but in several subsequent months. The rationale for the use of the PDL technique is that it increases the precision of the estimates. We developed an epidemic forecasting model to predict incidence of RRV disease. The results show that 95% and 85% of the variation in the RRV disease was accounted for by the mosquito density and rainfall, respectively. The predictive values in the model were generally consistent with actual values (RMSE: 1.25). The model diagnosis reveals that the residuals were randomly distributed with no significant auto-correlation. The results of this study suggest that PDL models may be better than SARIMA models (R-square increased and RMSE decreased). The findings of this study may facilitate the development of early warning systems for the control and prevention of this widespread disease. Further analyses were conducted using classification trees to identify major mosquito species of Ross River virus (RRV) transmission and explore the threshold of mosquito density for RRV disease in Brisbane, Australia. The results show that Ochlerotatus vigilax (RR: 1.028; 95% CI: 1.001 - 1.057) and Culex annulirostris (RR: 1.013, 95% CI: 1.003 - 1.023) were significantly associated with RRV disease cycles at a lag of 1 month. The presence of RRV was associated with average monthly mosquito density of 72 Ochlerotatus vigilax and 52 Culex annulirostris per light trap. These results may also have applications as a decision support tool in disease control and risk management planning programs. As RRV has significant impact on population health, industry, and tourism, it is important to develop an epidemic forecast system for this disease. The results of this study show the disease surveillance data can be integrated with social, biological and environmental databases. These data can provide additional input into the development of epidemic forecasting models. These attempts may have significant implications in environmental health decision-making and practices, and may help health authorities determine public health priorities more wisely and use resources more effectively and efficiently.
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8

Mtema, Zacharia John. "Integrated disease surveillance and response systems in resource-limited settings." Thesis, University of Glasgow, 2013. http://theses.gla.ac.uk/5224/.

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Infectious diseases are a major public health burden causing millions of deaths every year. Government authorities need to be able to monitor disease incidence and evaluate their interventions for disease control. Monitoring the status of infectious diseases is one of the most challenging problems facing the public health sector, and epidemiological surveillance systems for infectious diseases, particularly notifiable diseases are essential. Despite initiatives to encourage reporting of infectious diseases, underreporting and poor surveillance are on-going challenges for many developing countries. Most surveillance systems in these settings use traditional paper-based methods, which are both inefficient and impractical. There is a need for alternative tools to strengthen infectious disease surveillance systems in resource-limited settings. The remarkable progress made in mobile computing technology has the potential to improve infectious disease surveillance systems. However, user experience in digital technologies and infrastructure needs to be given greater attention. My study investigated the use of mobile phone devices as surveillance tools in health information systems. A mobile phone-based surveillance system was developed and applied in Tanzania as an alternative approach to traditional paper-based systems. Using this system different factors that affect the usability of mobile phone-based systems were investigated, by examining the quality of surveillance data in the context of completeness, timeliness and costs. After two years of operation in twenty-eight districts in southern Tanzania, numerous factors were identified that affect user accuracy and speed of use of the mobile phone-based surveillance. These include user experience in digital technology, particularly mobile device ownership; digital technology literacy, such as access and use of SMS and user’s age. The mobile phone-based surveillance system was more accurate compared to the traditional paper-based system with greater data reporting, more complete data and timelier reporting. Initially the mobile phone-based surveillance system required more capital investment, although the running costs of paper-based surveillance were greater. The utility of the mobile phone-based surveillance in monitoring and evaluating large-scale rabies control interventions was examined and the data produced was used to analyse the impacts of interventions on reducing disease incidence. Significant relationships were detected between the incidence of reported bite injuries in the focal district the previous month and in neighbouring districts that month, with more injuries detected in mainland Tanzania than on the island of Pemba. The relationship between bite injuries and vaccination coverage was complicated, with some evidence that vaccination reduced bite incidence. However, more data and a better model are needed to fully understand the impact of vaccination on bite incidence. The system provided timely information on the implementation of control measures and incidence of bite injuries, vital for improving control efforts. Use of automated short text messages (SMS) as part of the mobile phone-based surveillance was assessed to determine whether they could improve patient’s adherence to treatment regimens. Patients who received SMS reminders had significantly better compliance than those who did not, with attendance improved by at least 10%. Use of SMS reminders has the potential to improve patients’ compliance in other treatment regimens that require repeat clinic visits or administration of medicines. This thesis documented how the use of mobile phone devices can be used to improve surveillance in resource-limited settings. The use of effective integrated surveillance system could empower major stakeholders concerned with public health problems by providing them with appropriate real-time information on disease incidence and control interventions. In the final chapter the challenges encountered and insights gained in the application of mobile computing in strengthening infectious diseases surveillance are discussed. Despite infrastructural challenges such as unreliable power and Internet, mobile computing technologies can improve patient care and authorities can be prompted in a timely manner about infectious disease outbreaks and of supply shortages. In conclusion, innovative tools that can strengthen and integrate human and animal surveillance can improve the control and prevention of infectious diseases. Mobile phones have great potential for this, and can be used to strengthen health information systems.
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9

Youssef, Dalal. "Améliorer la sécurité routière au Liban : un parcours multidimensionnel allant de l'analyse exhaustive des défis à l'intégration des données et l'examen du comportement des conducteurs." Electronic Thesis or Diss., Bordeaux, 2024. http://www.theses.fr/2024BORD0268.

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Les collisions de la route, une préoccupation mondiale en matière de santé publique et de socio-économie, coûtent la vie à 1,19 million de personnes chaque année. Le Liban, avec une population de moins de 6 millions d'habitants, enregistre chaque année près de 1 000 décès dus aux collisions de la route. Les défis sont exacerbés par la croissance démographique, la possession de véhicules au sein des foyers, la détérioration des infrastructures et les conflits régionaux, le tout compliqué par des données fragmentées. Le manque de recherches antérieures sur la sécurité routière aggrave la situation en entravant la formulation de politiques éclairées. En utilisant une approche multidimensionnelle, cette thèse entreprend une exploration exhaustive des défis de la sécurité routière, visant à combler les lacunes de la recherche et s'efforce de fournir une stratégie holistique pour améliorer la sécurité routière. Sa vision ultime s'étend à des routes plus sûres, à une réduction des décès et à l'évolution vers un système de transport durable. La thèse se déploie en deux axes principaux : le système de management de la sécurité routière et le comportement des conducteurs. Dans le premier axe, une analyse exhaustive de la situation actuelle du système de management de la sécurité routière au Liban a été réalisée. Cette analyse examine en profondeur les défis, ainsi que les complexités historiques, institutionnelles, organisationnelles et financières qui influencent le cadre actuel de la sécurité routière. La thèse évalue les mécanismes d'application du code routier, les affectations budgétaires et propose des recommandations fondées sur des données probantes pour améliorer à la fois la sécurité routière et la durabilité au Liban. Cette analyse exhaustive souligne l'urgence d'adopter une stratégie holistique couvrant un large éventail d'aspects liés à la sécurité routière, de l'application rigoureuse des lois à l'amélioration des infrastructures, en passant par l'allocation durable des financements et la collaboration internationale active. Reconnaissant que les données soient la pierre angulaire d'une gestion efficace de la sécurité routière, la thèse aborde brièvement le problème crucial de la fragmentation et de l'incomplétude des données sur les traumatismes liés à la circulation routière au Liban. Se penchant sur le facteur humain, le deuxième axe se concentre sur le comportement des conducteurs, élément essentiel de la sécurité routière qui a manqué d'outils validés dans le contexte libanais. La thèse comporte l'adaptation transculturelle de quatre échelles de mesure (le locus de contrôle du trafic, le questionnaire sur le comportement des conducteurs, l’échelle de la colère au volant et l'inventaire des compétences des conducteurs) pour comprendre et atténuer les comportements dangereux des conducteurs. Ce processus complexe implique la traduction, l'adaptation transculturelle, une validation rigoureuse et l'implication de divers groupes de conducteurs libanais dans la collecte de données. Au-delà de la validation, elle explore l'association entre ce comportement et les collisions de la route, avec le potentiel d'influencer les politiques de sécurité routière et de promouvoir de bonnes pratiques de conduite. Cette thèse sert alors de plan directeur transformateur, visant à forger des routes plus sûres, à réduire les collisions et à améliorer la qualité de vie au Liban. Il s'agit d'un appel sans équivoque à répondre à l'urgence d'agir et à promouvoir des solutions fondées sur des données probantes
Road traffic collisions, a global public health and socio-economic concern, claim 1.19 million lives annually worldwide. Lebanon, with a population under 6 million, contends with nearly 1,000 road fatalities each year. Challenges are amplified by population growth, increased household vehicle ownership, deteriorating infrastructure, and the enduring impact of regional conflicts, all further obscured by fragmented data. The dearth of prior research on Lebanese road safety compounds the predicament, impeding informed policy formulation and precise solutions. The thesis unfolds along two main axes: road safety management and driver behaviour. The first axis provides a comprehensive analysis of the current state of road safety management in Lebanon. This analysis delves deeply into the challenges, as well as the historical, institutional, organizational, and financial complexities that shape the current framework for road safety. The thesis evaluates existing policies, enforcement mechanisms, budget allocations, and proposes evidence-based recommendations to improve both road safety and sustainability in Lebanon. This thorough analysis highlights the urgent need for a holistic strategy that covers a wide range of road safety aspects, from strict law enforcement to infrastructure improvements, sustainable funding allocation, and active international collaboration. Recognizing that data is the cornerstone of effective road safety management, the thesis addresses briefly the critical issue of fragmented and incomplete data on road traffic injuries in Lebanon. Focusing on the human factor, the second axis concentrates on driver behaviour, a key element of road safety that has lacked validated tools in the Lebanese context. The thesis advocates for the cross-cultural adaptation of four measurement scales (Traffic Locus of Control, Driver Behaviour Questionnaire, Driving Anger Scale, and Driver Skills Inventory) to understand and mitigate risky driver behaviours. This complex process involves translation, cross-cultural adaptation, rigorous validation, and the involvement of various groups of Lebanese drivers in data collection. Beyond validation, it explores the relationship between driver behaviour and road collisions, with the potential to influence road safety policies and promote good driving practices. This thesis thus serves as a transformative roadmap, aiming to create safer roads, reduce collisions, and improve the quality of life in Lebanon. It is a clarion call to address the urgent need for action and the pursuit of data-driven solutions
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Hsu, Ho-Jan, and 許賀然. "An Integrated Multi-Camera Surveillance System." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/10041404081015098461.

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碩士
亞洲大學
資訊工程學系碩士班
96
In recent year the growth of smart digital surveillance system is boom. Except for traditional surveillance functions, a new multi-camera surveillance system has functions of automatic detection, tracing moving objects, identifying the moving object and behavior analysis. New functions focus on anomaly detection and object identification but are lack of the relations between each camera and the functions are also lack of the capability of querying about history surveillance pictures. Therefore the paper proposes an environmental surveillance system which can relate each camera and integrate functions of object tracing, object identifying, recording and querying object features. The proposed multi-camera surveillance system is able to execute real time security protection and emergency management. The paper is based on computer vision to use several cameras to construct an environmental surveillance system. The cameras can be deployed in any kind of place, for example, to the security management of place with bad social order, to residence and to office buildings. The experiment has proved that through the connections between cameras build by the system in a real scene, the system is able to record object features sufficiently, to trace object in real time, to reduce the time for querying history records and to increase the capability of emergency management.
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Books on the topic "Integrated surveillance system"

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Mathiesen, Thomas. On globalisation of control: Towards an integrated surveillance system in Europe. London: Statewatch, 1999.

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A, Durham Todd, ed. Integrated cardiac safety: Assessment methodologies for noncardiac drugs in discovery, development, and postmarketing surveillance. Hoboken, N.J: John Wiley & Sons, 2009.

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Ince, A. Nejat, Ercan Topuz, Erdal Panayirci, and Cevdet Işik. Principles of Integrated Maritime Surveillance Systems. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5271-0.

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Nejat, Ince A., ed. Principles of integrated maritime surveillance systems. Boston: Kluwer Academic, 2000.

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anglès, Carl Mac Gabhann, and Rossie Lugo. Integrated HIV/AIDS surveillance system of Catalonia. SIVES 2001. Generalitat de Catalunya, 2002.

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Turner, J. Rick, and Todd A. Durham. Integrated Cardiac Safety: Assessment Methodologies for Noncardiac Drugs in Discovery, Development, and Postmarketing Surveillance. Wiley & Sons, Incorporated, John, 2008.

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Turner, J. Rick, and Todd A. Durham. Integrated Cardiac Safety: Assessment Methodologies for Noncardiac Drugs in Discovery, Development, and Postmarketing Surveillance. Wiley & Sons, Limited, John, 2008.

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Barbarà, Jordi Casabona, and Gemma Binefa Rodríguez. SIVES 2003. Integrated HIV/AIDS Surveillance System of Catalonia. Annual report CEESCAT: Incorporating data from tuberculosis and sexually transmitted ... in Catalonia. Generalitat de Catalunya, 2004.

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Ince, A. Nejat. Principles of Integrated Maritime Surveillance Systems. Springer, 2013.

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Topuz, Ercan, Erdal Panayirci, Cevdet Isik, and A. Nejat Ince. Principles of Integrated Maritime Surveillance Systems. Springer London, Limited, 2012.

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Book chapters on the topic "Integrated surveillance system"

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Kvalem, Jon, Rolf-Einar Grini, and Kjell Haugset. "ISACS An Integrated Surveillance and Control System." In Database and Expert Systems Applications, 497–500. Vienna: Springer Vienna, 1991. http://dx.doi.org/10.1007/978-3-7091-7555-2_84.

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Siergiejczyk, Mirosław, Karolina Krzykowska, and Adam Rosiński. "Reliability Assessment of Integrated Airport Surface Surveillance System." In Advances in Intelligent Systems and Computing, 435–43. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19216-1_41.

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Siebel, N. T., and S. J. Maybank. "On the Use of Colour Filtering in an Integrated Real-Time People Tracking System." In Video-Based Surveillance Systems, 167–75. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-0913-4_14.

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Ma, Qing-Xun. "The Construction of Real-Time Integrated Surveillance System in Water Conservancy." In Communications in Computer and Information Science, 116–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23998-4_18.

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Ardizzone, Edoardo, Alessandro Bruno, Roberto Gallea, Marco La Cascia, and Giuseppe Mazzola. "Toward an Integrated System for Surveillance and Behaviour Analysis of Groups and People." In New Trends in Image Analysis and Processing – ICIAP 2013, 474–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41190-8_51.

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Cortada, Laura. "Technologies for integrated nematode management in smallholder farming systems: no one-size-fits-all." In Integrated nematode management: state-of-the-art and visions for the future, 457–62. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789247541.0063.

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Abstract In this chapter, the need to take a more critical look at the highly precarious and vulnerable situation of smallholder farming systems, the predominant type of the agricultural output worldwide, is emphasized. These farmers represent 98% of the farmers in the world that sustain the local production of staple crops such as rice, maize, cassava, groundnut and millet. Although there is some disparity in the figures, recent data estimates that there are between 380 and 500 million smallholder farming households globally. The productivity of the smallholders' farms depends on soil health and quality, agroecological conditions (irrigated versus rainfed), access to agricultural inputs and new technologies. These last two also critically influence smallholders' ability to manage pests and diseases, including plant parasitic nematodes (PPN). This chapter discusses the epidemiological perspective, diagnostics and surveillance, alternate host and in-field spread of PPN. Breeding programmes for PPN resistance, seed delivery system, importance of clean planting material, influence of land availability to smallholders' ability to practice fallow and rotation for nematode management are described. The use of trap crops, cover crops, nematicides and biological control agents for nematode suppression are also discussed. Future developments aimed at promoting the progress of smallholder farming systems are also mentioned.
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Häkkinen, Annika, Johanna Viitanen, Kaisa Savolainen, Ville-Matti Mäkinen, Mia Siven, Tinja Lääveri, and Hanna M. Tolonen. "Closing the Loop for Controlled Substances Surveillance: A Field Study of the Usability and User Experience of an Integrated Electronic Narcotic Consumption." In Communications in Computer and Information Science, 93–109. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59080-1_7.

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AbstractThe distribution and handling of controlled substances (CSs), i.e., narcotics, is strictly regulated to decrease the risk of abuse and drug diversion. In Finland, hospital pharmacies are mandated to keep records of CS distribution and consumption in healthcare through a labor-intensive paper-based process. After implementing a new electronic health record (EHR) system, a large university hospital started to streamline the process by transferring the CS documentation process from paper to digital format. Although the benefits of digital archiving, surveillance, and consumption monitoring are self-evident from the hospital pharmacy’s perspective the advantages at wards remain less explored. Therefore, our goal was to explore the usability and user experience (UX) of the recently implemented electronic narcotic consumption card (eNCC) solution built into the EHR system, and the related workflows of nurses, pharmacists, and physicians. The field study consisted of two parts and was conducted using observation, interviews, and survey methods in two wards. Our findings suggest that the digitalized process enables reliable real-time documentation of CSs and improves process efficiency, particularly for oral tablets and capsules. Considering diverse end-users’ perspectives is crucial when assessing the practical benefits of newly implemented digital solutions targeted at several healthcare professional groups. This approach enables a broader understanding of UX; supports development efforts, including usability improvements; and facilitates broader implementation. More research is needed to analyze the long-term impacts of the digital CSs’ consumption documentation workflow and surveillance at different healthcare units.
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Sood, Bulbul. "Investing in a Resilient and Responsive Healthcare System During COVID-19 Pandemic." In Health Dimensions of COVID-19 in India and Beyond, 27–52. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7385-6_2.

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AbstractStrategies implemented by Jhpiego nationally and in 15 states of India to respond to the COVID- 19 emergency and to counter the devastating impact of the pandemic are discussed. By the time the nationwide lockdown was imposed in March, 2020, Jhpiego’s COVID-19 response strategy was in action. This strategy included strengthening the capacity of the health workforce, supporting the national and the state governments, and ensuring the continuation of essential health services including reproductive health services.Jhpiego mounted a swift multi-sectoral and multi-pronged program to provide technical support for enhancing the preparedness of the healthcare system across 15 states. Training and monitoring activities were conducted using virtual platforms. A decentralized approach was employed to co-design with the community local solutions for health problems. The thrust was on developing community-centered, community-owned, and community-driven programs. Digital technology, including tele-medicine and other innovative solutions, played a key part in these efforts. The program provided technical assistance for building a resilient healthcare system by strengthening governance mechanisms and facility-based preparedness, piloting an integrated disease surveillance system, enhancing the use of data to guide evidence-based decision-making, re-designing public health facilities, and setting-up rapid response teams which could be quickly mobilized to respond to crises.
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Chen, Hsinchun, Daniel Zeng, and Ping Yan. "Public Health Syndromic Surveillance Systems." In Integrated Series in Information Systems, 9–31. New York, NY: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-1278-7_2.

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Ince, A. Nejat, Ercan Topuz, Erdal Panayirci, and Cevdet Işik. "Maritime Surveillance Applications." In Principles of Integrated Maritime Surveillance Systems, 7–34. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5271-0_2.

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Conference papers on the topic "Integrated surveillance system"

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Dobie, Joe, and Reginald Holder. "Network System of Systems Manager." In 2024 Integrated Communications, Navigation and Surveillance Conference (ICNS). IEEE, 2024. http://dx.doi.org/10.1109/icns60906.2024.10550591.

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Cho, Taehwan. "Automatic Dependent Surveillance - Broadcast for surveillance of Unmanned Aircraft System." In 2017 Integrated Communications, Navigation and Surveillance Conference (ICNS). IEEE, 2017. http://dx.doi.org/10.1109/icnsurv.2017.8011925.

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Uysal, Sener, Mustafa Konca, Hasan Demirel, and Aykut Hocanin. "An integrated homeland security surveillance system." In 2010 10th Mediterranean Microwave Symposium (MMS). IEEE, 2010. http://dx.doi.org/10.1109/mmw.2010.5605175.

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Basri, A. H. Hasan, S. Noorjannah Ibrahim, N. Abdul Malik, and A. L. Asnawi. "Integrated Surveillance System with Mobile Application." In 2018 7th International Conference on Computer and Communication Engineering (ICCCE). IEEE, 2018. http://dx.doi.org/10.1109/iccce.2018.8539244.

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Essendorfer, Barbara, Eduardo Monari, and Heiko Wanning. "An Integrated System for Border Surveillance." In 2009 Fourth International Conference on Systems. IEEE, 2009. http://dx.doi.org/10.1109/icons.2009.27.

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Stroup, Ronald L. "Aviation strategic outlook areas driving the NAS CNS-ATM system of systems." In 2018 Integrated Communications, Navigation, Surveillance Conference (ICNS). IEEE, 2018. http://dx.doi.org/10.1109/icnsurv.2018.8384858.

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Stroup, Ronald L. "Aviation strategic outlook areas driving the NAS CNS-ATM system of systems." In 2018 Integrated Communications, Navigation, Surveillance Conference (ICNS). IEEE, 2018. http://dx.doi.org/10.1109/icnsurv.2018.8384946.

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"FAA's system-wide analysis capability." In 2011 Integrated Communication, Navigation, Surveillance Conference (ICNS). IEEE, 2011. http://dx.doi.org/10.1109/icnsurv.2011.5935365.

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"ADS-B link augmentation system." In 2011 Integrated Communication, Navigation, Surveillance Conference (ICNS). IEEE, 2011. http://dx.doi.org/10.1109/icnsurv.2011.5935398.

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Zee, Stacey. "NextGen environmental management system (EMS)." In 2011 Integrated Communication, Navigation, Surveillance Conference (ICNS). IEEE, 2011. http://dx.doi.org/10.1109/icnsurv.2011.5935407.

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Reports on the topic "Integrated surveillance system"

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Bruno, Michael S., and Alan F. Blumberg. The Stevens Integrated Maritime Surveillance and Forecast System. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada630096.

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Aumeier, S. E., B. G. Walters, and D. C. Crawford. Integrated monitoring and surveillance system demonstration project: Phase I accomplishments. Office of Scientific and Technical Information (OSTI), January 1997. http://dx.doi.org/10.2172/453765.

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He, Tian, Sudha Krishnamurthy, Liqian Luo, Ting Yan, Lin Gu, Radu Stoleru, Gang Zhou, Qing Cao, Pascal Vicaire, and John A. Stankovic. VigilNet: An Integrated Sensor Network System for Energy-Efficient Surveillance. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada446892.

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Bruno, Michael S., and Alan F. Blumberg. The Stevens Integrated Maritime Surveillance and Forecast System: Expansion and Enhancement. Fort Belvoir, VA: Defense Technical Information Center, September 2004. http://dx.doi.org/10.21236/ada630879.

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Raju, Nivedita, and Tytti Erästö. The Role of Space Systems in Nuclear Deterrence. Stockholm International Peace Research Institute, September 2023. http://dx.doi.org/10.55163/nwlc4997.

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This paper is the first of two exploring nuclear escalation risks in connection with the space domain, with a focus on China, Russia and the United States. Space systems are used for multiple civilian and military purposes, including missions related to nuclear deterrence. Consequently, real and perceived military operations targeting space systems may create pathways to nuclear escalation. China, Russia and the USA possess both nuclear weapons and counterspace capabilities and are at risk of being drawn into war with each other through regional conflicts and great power competition. These states have integrated space systems into their nuclear deterrence practices to varying degrees for missile early warning, communications, intelligence, surveillance and reconnaissance (ISR), and navigation. These space systems can be vulnerable to attack or interference through counterspace capabilities, including direct-ascent and co-orbital anti-satellite (ASAT) weapons, directed-energy weapons, electronic interference and cyber operations. Each of the three states’ space systems has varying strategic value. Each system is also vulnerable to the known counterspace capabilities of the others. Assessment of these varying values and vulnerabilities lays the ground for further analysis on escalation pathways and risk-reduction measures
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Yoel, David, Tina Sicilia, Matthew Bogaart, and Jeremy Fernandes. PR-417-203902-R02 Remote Sensing and Leak Detection Platform that Can Deploy Multiple Sensor Types. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), February 2024. http://dx.doi.org/10.55274/r0000055.

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American Aerospace Technologies, Inc. has conducted a pilot project for the Pipeline Research Council, International to evaluate the performance of an automated threat detection system onboard a medium alti-tude, long endurance unmanned aircraft capable of beyond visual line of sight flight that can be used in the pipeline industry for routine patrol and surveillance as a risk reduction solution. The unmanned aircraft system test program evaluation was conducted at Test Site(s) in Pendleton, Oregon, Woodbine, New Jersey, and San Joaquin Valley, California using American Aerospace sensors, unmanned aircraft, test facilities and equipment. The primary objective of the project was to validate the performance of a remote sensing system capable of automated multi-threat surveillance, monitoring, and rapid reporting - operating on a long-range, long-endurance medium altitude unmanned aircraft capable of patrolling hundreds of miles of pipeline right-of-way per flight. The project included four flight campaigns that generated data from multiple sensors over staged and opportunistic targets, tested multiple algorithms, and measured key performance parameters on aerial patrol. In what is believed to be an industry first, an attempt was made to develop industry-wide aerial patrol performance guidance - key performance indicators - for sensor-based imminent threat detection sensitivity, reliability, robustness, and accuracy in alignment with industry standards for existing operator leak detection programs. Performance of the automated threat detection system on both manned and unmanned aircraft was com-pared by analyzing data from flights over staged targets and over a 78-mile pipeline corridor - flown by both types of aircraft - on the same day and at the same patrol altitudes. Differences in aircraft performance were also evaluated. Lastly, unmanned aircraft flight data was utilized as part of an ongoing application to the Federal Aviation Administration to integrate long-range unmanned aircraft into the national airspace in support for routine pipeline patrol.
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System specification for the integrated monitoring and surveillance system. Office of Scientific and Technical Information (OSTI), September 1997. http://dx.doi.org/10.2172/578715.

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Safeguarding through science: Center for Plant Health Science and Technology 2009 Accomplishments. U.S. Department of Agriculture, Animal and Plant Health Inspection Service, February 2011. http://dx.doi.org/10.32747/2011.7296843.aphis.

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The Center for Plant Health Science and Technology (CPHST) provides scientific support for the regulatory decisions and operations of the Animal and Plant Health Inspection Service’s (APHIS) Plant Protection and Quarantine (PPQ) program in order to safeguard U.S. agriculture and natural resources. CPHST is responsible for ensuring that PPQ has the information, tools, and technology to make the most scientifically valid regulatory and policy decisions possible. In addition, CPHST ensures that PPQ’s operations have the most scientifically viable and practical tools for pest exclusion, detection, and management. This 2009 CPHST Annual Report is intended to offer an in-depth look at the status of our programs and the progress CPHST has made toward the Center’s long-term strategic goals. CPHST's work is organized into six National Science Programs: Agricultural Quarantine Inspection and Port Technology; Risk and Pathway Analysis; Domestic Surveillance, Detection, and Identification; Emergency Response; Response and Recovery Systems Technology - Arthropods; and Response and Recovery Systems Technology - Plant Pathogens and Weeds. the scientists of CPHST provide leadership and expertise in a wide range of fields, including risk assessments that support trade, commodity quarantine treatments, pest survey and detection methods, molecular diagnostics, biological control techniques, integrated pest management, and mass rearing of insects. Some highlights of significant CPHST efforts in 2009 include: Establishment of the National Ornamentals Research Site at Dominican University of California, Established LBAM Integrated Pest Management and Survey Methods, Continue to develop Citrus Greening/Huanglongbing Management Tools, and further European Grapevine Moth (EGVM) Response.
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