The Experts below are selected from a list of 6264 Experts worldwide ranked by ideXlab platform
P.b. Laub - One of the best experts on this subject based on the ideXlab platform.
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XPLCHK – an extensible program for checking and Validating X-PLOR Input files
Journal of Applied Crystallography, 1995Co-Authors: P.b. LaubAbstract:XPLCHK is a portable and user-extensible C-language program for checking and Validating Input files for X-PLOR, versions 2.1+. Motivating the development of this program was the frustration and waste of time resulting from X-PLOR runs that crash due to errors in the Input file or that yield irrelevant results because of incorrect specification of key parameters. Consequently, XPLCHK scans the file for common errors, verifies that all needed files are accessible and warns the user of potential problems. In addition, symbol assignments are summarized, making it easy for the user to check that they are properly set. Coded in an open and well documented manner, XPLCHK makes it straightforward for users with a modest knowledge of to create modules specific to their use of X-PLOR. The source code is available by sending email to p_laub@fccc.edu.
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xplchk an extensible program for checking and Validating x plor Input files
Journal of Applied Crystallography, 1995Co-Authors: P.b. LaubAbstract:XPLCHK is a portable and user-extensible C-language program for checking and Validating Input files for X-PLOR, versions 2.1+. Motivating the development of this program was the frustration and waste of time resulting from X-PLOR runs that crash due to errors in the Input file or that yield irrelevant results because of incorrect specification of key parameters. Consequently, XPLCHK scans the file for common errors, verifies that all needed files are accessible and warns the user of potential problems. In addition, symbol assignments are summarized, making it easy for the user to check that they are properly set. Coded in an open and well documented manner, XPLCHK makes it straightforward for users with a modest knowledge of to create modules specific to their use of X-PLOR. The source code is available by sending email to p_laub@fccc.edu.
Kelsey Watson-daniels - One of the best experts on this subject based on the ideXlab platform.
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“Garbage in, Garbage Out” Does Not Hold True for Indigenous Community Flood Extent Modeling in the Prairie Pothole Region
Water, 2019Co-Authors: Anuja Thapa, Lori Bradford, Graham Strickert, Anthony Blair Dreaver Johnston, Kelsey Watson-danielsAbstract:Extensive land use changes and uncertainties arising from climate change in recent years have contributed to increased flood magnitudes in the Canadian Prairies and threatened the vulnerabilities of many small and indigenous communities. There is, thus, a need to create modernized flood risk management tools to support small and rural communities’ preparations for future extreme events. In this study, we developed spatial flood information for an indigenous community in Central Saskatchewan using LiDAR based DEM and a spatial modeling tool, the wetland DEM ponding model (WDPM). A crucial element of flood mapping in this study was community engagement in data collection, scenario description for WDPM, and flood map validation. Community feedback was also used to evaluate the utility of the modelled flood outputs. The results showed the accuracy of WDPM outputs could be improved not only with the quality of DEM but also with additional community-held information on contributing areas (watershed information). Based on community feedback, this accessible, spatially-focused modeling approach can provide relevant information for community spatial planning and developing risk management strategies. Our study found community engagement to be valuable in flood modeling and mapping by: providing necessary data, Validating Input data through lived experiences, and providing alternate scenarios to be used in future work. This research demonstrates the suitability and utility of LiDAR and WDPM complemented by community participation for improving flood mapping in the Prairie Pothole Region (PPR). The approach used in the study also serves as an important guide for applying transdisciplinary tools and methods for establishing good practice in research and helping build resilient communities in the Prairies.
Anuja Thapa - One of the best experts on this subject based on the ideXlab platform.
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“Garbage in, Garbage Out” Does Not Hold True for Indigenous Community Flood Extent Modeling in the Prairie Pothole Region
Water, 2019Co-Authors: Anuja Thapa, Lori Bradford, Graham Strickert, Anthony Blair Dreaver Johnston, Kelsey Watson-danielsAbstract:Extensive land use changes and uncertainties arising from climate change in recent years have contributed to increased flood magnitudes in the Canadian Prairies and threatened the vulnerabilities of many small and indigenous communities. There is, thus, a need to create modernized flood risk management tools to support small and rural communities’ preparations for future extreme events. In this study, we developed spatial flood information for an indigenous community in Central Saskatchewan using LiDAR based DEM and a spatial modeling tool, the wetland DEM ponding model (WDPM). A crucial element of flood mapping in this study was community engagement in data collection, scenario description for WDPM, and flood map validation. Community feedback was also used to evaluate the utility of the modelled flood outputs. The results showed the accuracy of WDPM outputs could be improved not only with the quality of DEM but also with additional community-held information on contributing areas (watershed information). Based on community feedback, this accessible, spatially-focused modeling approach can provide relevant information for community spatial planning and developing risk management strategies. Our study found community engagement to be valuable in flood modeling and mapping by: providing necessary data, Validating Input data through lived experiences, and providing alternate scenarios to be used in future work. This research demonstrates the suitability and utility of LiDAR and WDPM complemented by community participation for improving flood mapping in the Prairie Pothole Region (PPR). The approach used in the study also serves as an important guide for applying transdisciplinary tools and methods for establishing good practice in research and helping build resilient communities in the Prairies.
Swee-huay Heng - One of the best experts on this subject based on the ideXlab platform.
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Policy-enhanced ANFIS model to counter SOAP-related attacks
Knowledge-Based Systems, 2012Co-Authors: Gaik-yee Chan, Chien-sing Lee, Swee-huay HengAbstract:Business Intelligence or e-commerce applications are increasingly built on the Web Service platform. Thus, SOAP-related attacks have a higher chance of occurring at the Application Layer. Although active research has been on-going in Host and Network-based intrusion detection and intrusion prevention areas, they are not adequate to countermeasure the attacks occurring at the Application Layer. This is detrimental, especially for e-commerce where sensitive and huge amount of business-related information are being exposed over the Internet. Consequently, in this paper, a policy-enhanced fuzzy model with adaptive neuro-fuzzy inference system features is introduced. Transactions generated by simulation reveal that SOAP-related attacks at the Application Layer can be detected and prevented by Validating Input values, Input field lengths, and SOAP size using our model to classify the possibilities of granting or denying access to the backend application or database. Restricting the Inputs using business policies further strengthens the model to be able to achieve detection accuracy of 99% and false positive rate of only 1%. Thus, our model has significantly contributed to an added layer of security protection for Web Service-based e-commerce applications.
Jorge R Barrio - One of the best experts on this subject based on the ideXlab platform.
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investigation of a new Input function validation approach for dynamic mouse micropet studies
Molecular Imaging and Biology, 2004Co-Authors: Sungcheng Huang, Kooresh Shoghijadid, David B Stout, Arion F Chatziioannou, H R Schelbert, Jorge R BarrioAbstract:Abstract Purpose Image-derived Input functions are desirable for quantifying biological functions in dynamic mouse micro positron emission tomography (PET) studies, but the Input function so derived needs to be validated. Conventional validation using serial blood samples is difficult in mice. We introduced the theoretical basis and used computer simulations to show the capability of a new approach that requires only a small number of blood samples per mouse but uses multiple animals. Procedures 2-Deoxy-2-[ 18 F]fluoro-D-glucose (FDG) kinetics (60 minutes) were simulated for 10 to 20 animals with three to six blood samples available per animal. Various amounts/types of noise/errors in the blood measurements were assumed, and different amounts/types of errors were added to the true Input function to simulate image-derived Input function. Deviations between blood samples and the derived Input function were examined by statistical techniques to evaluate the capability of the approach for detecting the simulated errors in the derived Input function. Results For a total of 60 blood samples and a 10% measurement noise, a 5% contaminating error in image-derived Input function can be detected with a statistical power of ∼0.9 and with a 95% confidence. The power of the approach is directly related to the error magnitude in the image-derived Input function, and is related to the total number of blood samples taken, but is inversely related to the measurement noise of the blood samples. Conclusion The new validation approach is expected to be useful for Validating Input functions derived with image-based methods in dynamic mouse microPET studies.
