scholarly journals Design and Training of Deep CNN-Based Fast Detector in Infrared SUAV Surveillance System

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 137365-137377 ◽  
Author(s):  
Yu Zhang ◽  
Yan Zhang ◽  
Zhiguang Shi ◽  
Jinghua Zhang ◽  
Ming Wei
PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250373
Author(s):  
Serena Donati ◽  
Marta Buoncristiano ◽  
Ilaria Lega ◽  
Paola D’Aloja ◽  
Alice Maraschini ◽  
...  

In this before and after cross-sectional analysis, the authors aim to assess the impact of the bundle of research and training initiatives implemented between 2013 and 2018, and coordinated by the Italian Obstetric Surveillance System (ItOSS) to reduce obstetric haemorrhagic emergencies in five selected Italian Regions. To this purpose, the haemorrhagic Maternal Mortality Ratios (MMR) per 100,000 live births were estimated before and after implementing the bundle, through the ItOSS’s vital statistic linkage procedures and incident reporting and Confidential Enquiries. The research and training bundle was offered to all health professionals involved in pregnancy and birth care in the selected regions, representing 40% of national live births, and participating in the ItOSS audit cycle since its institution. The haemorrhagic MMR significantly decreased from 2.49/100,000 live births [95% CI 1.75 to 3.43] in the years 2007–2013 prior to the bundle implementation, to 0.77/100,000 live births [95% CI 0.31 to 1.58] in the years 2014–2018 after its implementation. According to the study results, the bundle of population-based initiatives might have contributed to reducing the haemorrhagic MMR in the participating regions, thus improving the quality of care of the major obstetric haemorrhage.


2019 ◽  
Vol 44 (3) ◽  
pp. 303-330 ◽  
Author(s):  
Shallu Sharma ◽  
Rajesh Mehra

Abstract Convolutional neural networks (CNN) is a contemporary technique for computer vision applications, where pooling implies as an integral part of the deep CNN. Besides, pooling provides the ability to learn invariant features and also acts as a regularizer to further reduce the problem of overfitting. Additionally, the pooling techniques significantly reduce the computational cost and training time of networks which are equally important to consider. Here, the performances of pooling strategies on different datasets are analyzed and discussed qualitatively. This study presents a detailed review of the conventional and the latest strategies which would help in appraising the readers with the upsides and downsides of each strategy. Also, we have identified four fundamental factors namely network architecture, activation function, overlapping and regularization approaches which immensely affect the performance of pooling operations. It is believed that this work would help in extending the scope of understanding the significance of CNN along with pooling regimes for solving computer vision problems.


2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Djesika D. Amendah ◽  
Peterrock Muriuki ◽  
Nicholas Ngomi ◽  
Martin Kavao ◽  
Nelson Muhia

We aim to disseminate field lessons gained from studying zoonotic diseases among children with diarrhea in the Nairobi Urban Health and Demographic Surveillance System. Despite the numerical importance of slums in sub-Saharan Africa, little is known on the practice of health surveillance in those resource-limited areas. Challenges and lessons gained concern sustaining community participation over the years, engaging with gatekeepers, hiring and training local fieldworkers, ensuring safety of employees and material, and offering clinical care to children with diarrhea in their households.


2019 ◽  
Vol 4 (5) ◽  
pp. 991-1016
Author(s):  
Shameka Stanford ◽  
Ovetta Harris

Purpose In 2011, the United Nations estimated there were between 180 and 220 million youth with disabilities living around the world, and 80% of them resided in developing countries. Over the last 6 years, this number has increased significantly, and now, over 1 million people live in the Caribbean with some form of disability such as communication disorders resulting in complex communication needs (CCN). Method This publication discusses the benefits of an exploratory, descriptive, nonexperimental study on augmentative and alternative communication (AAC) classroom integration training for 8 special educators in the Bahamas who work with children with CCN. Results The results of this study revealed that 100% of the participants reported the study to be effective in increasing their knowledge and skill in the area of implementing AAC into their classrooms, enhancing their ability to team teach and incorporate AAC opportunities for all students with CCN within their classrooms, and increasing their knowledge and skill overall in the areas of AAC and CCN. Conclusion The findings highlight an important area of potential professional development and training that can be replicated in other English-speaking Caribbean territories focused on AAC classroom integration training program for special educators who teach students with CCN.


2019 ◽  
Vol 28 (4) ◽  
pp. 993-1005 ◽  
Author(s):  
Gitte Keidser ◽  
Nicole Matthews ◽  
Elizabeth Convery

Purpose The aim of this study was to examine how hearing aid candidates perceive user-driven and app-controlled hearing aids and the effect these concepts have on traditional hearing health care delivery. Method Eleven adults (3 women, 8 men), recruited among 60 participants who had completed a research study evaluating an app-controlled, self-fitting hearing aid for 12 weeks, participated in a semistructured interview. Participants were over 55 years of age and had varied experience with hearing aids and smartphones. A template analysis was applied to data. Results Five themes emerged from the interviews: (a) prerequisites to the successful implementation of user-driven and app-controlled technologies, (b) benefits and advantages of user-driven and app-controlled technologies, (c) barriers to the acceptance and use of user-driven and app-controlled technologies, (d) beliefs that age is a significant factor in how well people will adopt new technology, and (e) consequences that flow from the adoption of user-driven and app-controlled technologies. Specifically, suggested benefits of the technology included fostering empowerment and providing cheaper and more discrete options, while challenges included lack of technological self-efficacy among older adults. Training and support were emphasized as necessary for successful adaptation and were suggested to be a focus of audiologic services in the future. Conclusion User perceptions of user-driven and app-controlled hearing technologies challenge the audiologic profession to provide adequate support and training for use of the technology and manufacturers to make the technology more accessible to older people.


2013 ◽  
Vol 20 (3) ◽  
pp. 91-106 ◽  
Author(s):  
Rachel Pizarek ◽  
Valeriy Shafiro ◽  
Patricia McCarthy

Computerized auditory training (CAT) is a convenient, low-cost approach to improving communication of individuals with hearing loss or other communicative disorders. A number of CAT programs are being marketed to patients and audiologists. The present literature review is an examination of evidence for the effectiveness of CAT in improving speech perception in adults with hearing impairments. Six current CAT programs, used in 9 published studies, were reviewed. In all 9 studies, some benefit of CAT for speech perception was demonstrated. Although these results are encouraging, the overall quality of available evidence remains low, and many programs currently on the market have not yet been evaluated. Thus, caution is needed when selecting CAT programs for specific patients. It is hoped that future researchers will (a) examine a greater number of CAT programs using more rigorous experimental designs, (b) determine which program features and training regimens are most effective, and (c) indicate which patients may benefit from CAT the most.


Author(s):  
Laurie Ehlhardt Powell ◽  
Tracey Wallace ◽  
Michelle ranae Wild

Research shows that if clinicians are to deliver effective, evidence-based assistive technology for cognition (ATC) services to clients with acquired brain injury (ABI), they first need opportunities to gain knowledge and experience with ATC assessment and training practices (O'Neil-Pirozzi, Kendrick, Goldstein, & Glenn, 2004). This article describes three examples of train the trainer materials and programs to address this need: (a) a toolkit for trainers to learn more about assessing and training ATC; (b) a comprehensive, trans-disciplinary program for training staff to provide ATC services in a metropolitan area; and (c) an overview of an on-site/online training package for rehabilitation professionals working with individuals with ABI in remote locations.


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