6 research outputs found

    Synergizing Roadway Infrastructure Investment with Digital Infrastructure for Infrastructure-Based Connected Vehicle Applications: Review of Current Status and Future Directions

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    The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.The safety, mobility, environmental and economic benefits of Connected and Autonomous Vehicles (CAVs) are potentially dramatic. However, realization of these benefits largely hinges on the timely upgrading of the existing transportation system. CAVs must be enabled to send and receive data to and from other vehicles and drivers (V2V communication) and to and from infrastructure (V2I communication). Further, infrastructure and the transportation agencies that manage it must be able to collect, process, distribute and archive these data quickly, reliably, and securely. This paper focuses on current digital roadway infrastructure initiatives and highlights the importance of including digital infrastructure investment alongside more traditional infrastructure investment to keep up with the auto industry's push towards this real time communication and data processing capability. Agencies responsible for transportation infrastructure construction and management must collaborate, establishing national and international platforms to guide the planning, deployment and management of digital infrastructure in their jurisdictions. This will help create standardized interoperable national and international systems so that CAV technology is not deployed in a haphazard and uncoordinated manner

    Development and Performance Evaluation of a Connected Vehicle Application Development Platform (CVDeP)

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    Connected vehicle (CV) application developers need a development platform to build, test and debug real-world CV applications, such as safety, mobility, and environmental applications, in edge-centric cyber-physical systems. Our study objective is to develop and evaluate a scalable and secure CV application development platform (CVDeP) that enables application developers to build, test and debug CV applications in realtime. CVDeP ensures that the functional requirements of the CV applications meet the corresponding requirements imposed by the specific applications. We evaluated the efficacy of CVDeP using two CV applications (one safety and one mobility application) and validated them through a field experiment at the Clemson University Connected Vehicle Testbed (CU-CVT). Analyses prove the efficacy of CVDeP, which satisfies the functional requirements (i.e., latency and throughput) of a CV application while maintaining scalability and security of the platform and applications

    Efficacy of the Swede score in prediction of high-grade lesions of cervix

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    Background: Cervical cancer is a preventable lesion that can be identified by stepwise screening methods. Visual inspection of the cervix with acetic acid, Lugol’s iodine, pap smear, and HPV are the primary screening methods. This study aims to evaluate the efficacy of the Swede score in predicting high-grade lesions of the cervix among patients attending a colposcopy clinic. Methods: This observational cross-sectional study was performed in a colposcopy clinic under the department of obstetrics and gynaecology at CMCH. All referral patients to the colposcopy clinic were the study population. Women aged between 25-65 years was the study subject. Results: Majority (47.5%) of the patient’s Swede score was 4 and 20.1of % of patients had scores of 5-6 and only 1.3% of patients had scores ≥7%. 63 (79%) patients had low grade/normal/ cervical intraepithelial lesion (CIN) 1, 16 (20%) patients had high grade/non-invasive cancer/CIN 2 and only 1 patient had high grade/suspected invasive cancer/CIN 3. A score of 6 had a specificity of 100% for CIN 2 with a sensitivity of 30% positive and negative predictive value (PPV=100%; NPV=90.9%). Lowering the score to 5 for predicting CIN 2 improved the sensitivity at the expense of specificity (sensitivity=60%; specificity=90%; PPV= 94%; NPV=46.2%).Conclusions: Swede scoring system is consistent and reproducible, has a simple structure, and thus contributes to preventing cervical cancer. Swede score of 6 or more has 100% specificity; this scoring method is a preferred method for the treatment of high-grade CIN.

    Effects of pre-operative isolation on postoperative pulmonary complications after elective surgery: an international prospective cohort study

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