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Journal articles on the topic 'Plan verification'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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1

Pierno, J., C. Hamilton, and S. Kanumalla. "SU-E-E-07: Radcalc IMRT Plan Verification vs. Mapcheck IMRT Plan Verification." Medical Physics 38, no. 6Part3 (June 2011): 3392. http://dx.doi.org/10.1118/1.3611561.

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Cesta, Amedeo, Simone Fratini, Andrea Orlandini, Alberto Finzi, and Enrico Tronci. "Flexible Plan Verification: Feasibility Results." Fundamenta Informaticae 107, no. 2-3 (2011): 111–37. http://dx.doi.org/10.3233/fi-2011-397.

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3

Huang, Xu, Deng Jun, Lin Tao Liu, and Lun Cai Liu. "Using Verification Planner to Track the Verification Process." Applied Mechanics and Materials 596 (July 2014): 131–35. http://dx.doi.org/10.4028/www.scientific.net/amm.596.131.

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This paper will discuss how we integrated Verification Planner in our verification environment to generate better reports that can be used to track the progress of verification with the project manager. Using Verification Planner we were able to add coverage information to the Verification IP’s Excel based verification plans. We can then take advantage of Excel to generate better reports. Using a top-level plan, we were able to generate a summary page that could be shared with project manager, giving them the information they needed.

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Yang, Deshan, and Kevin L. Moore. "Automated radiotherapy treatment plan integrity verification." Medical Physics 39, no. 3 (February 28, 2012): 1542–51. http://dx.doi.org/10.1118/1.3683646.

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5

Lee, Dong Kun, Jong Gye Shin, Youngmin Kim, and Yong Kuk Jeong. "Simulation-Based Work Plan Verification in Shipyards." Journal of Ship Production and Design 30, no. 02 (May 1, 2014): 49–57. http://dx.doi.org/10.5957/jspd.2014.30.2.49.

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The productivity of a shipyard depends on how efficiently and systematically its limited resources are managed and used. Korean shipyards, the most competitive in the world, have developed and operate their own production management systems to attain high productivity, each of which reflects the unique characteristics of a specific company. Recently, research on simulation methods to enhance production management systems has been gaining popularity. Production management based on simulations rejects decision-making based on experience and intuition and values the establishment of improvement methods based on quantitative and concrete data. In this article, simulation is applied to the work plan as part of the production planning in shipyards. To this end, the work planning processes and planning systems are analyzed. Based on this analysis, a simulation model and application system are suggested. By using the results obtained in this study, it is expected that shipyards can construct cycles for establishing, simulating, and analyzing work plans, enabling the establishment of more precise production plans.

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Zerillo, Jessica A., Erin Santacroce, Mary Ann Zimmerman, Melissa Freeman, Teresa Lau Greenberg, Phuong Nguyen, Susan N. Chi, et al. "Building a new process: Nursing verification of pediatric oral chemotherapy." Journal of Clinical Oncology 34, no. 7_suppl (March 1, 2016): 199. http://dx.doi.org/10.1200/jco.2016.34.7_suppl.199.

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199 Background: While team-based safety checks ensure safe prescribing of parenteral chemotherapy, oral chemotherapy is usually prescribed by a single clinician. With the growing use of oral chemotherapy, processes are needed to protect these vulnerable patients from prescription errors. Methods: A team of nurses, clinicians, pharmacists and administrators developed a new process and checklist for nursing verification of oral chemotherapy prescriptions at Dana-Farber’s pediatric neuro-oncology program. Prescriptions are verified against the treatment plan by two pediatric oncology nurses. The verification checklist includes drug, dose with any modifications, height and weight, laboratory values and patient instructions. When available, the prescription bottle is also verified. Data was collected over a three-month pilot period. Results: From 6/18/15-9/16/15, 56 prescription verifications occurred. Verification rate of on-site retail pharmacy filled prescriptions was 47% (32/68 prescriptions). Median time for verification was 20 minutes (IQR 15, 40) per nurse. Nurses identified problems outside of prescription verification, including missing prior authorizations and unclear treatment plans. Medication bottles were not routinely available for verification. One identified near miss would have resulted in an 80% under-dose of everolimus. Conclusions: Prescription verification by nursing in a pediatric oncology clinic was feasible. While it was successful in identification of one medication error before it reached the patient, only 47% of prescriptions were verified. Since prescription bottles are usually obtained after a visit, verification of the actual bottles will require new workflows, such as additional clinic visits or uploading a picture via the patient portal. Involving the nurse in the review of oral chemotherapy not only identified a prescription error, but also highlighted issues within other aspects of patients’ care, including inconsistent documentation of the treatment plan. The inclusion of nursing in the review and management of oral chemotherapy has the potential to improve safety and outcomes for these patients.

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Hochman, Dominik, Jan Trenz, Radim Nečas, and Jiří Stráským. "Experimental Verification of Plan Curved Arch Structures." Advanced Materials Research 1106 (June 2015): 203–6. http://dx.doi.org/10.4028/www.scientific.net/amr.1106.203.

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This paper describes preparation and implementation of a model test of two space arch pedestrian bridges that are currently being developed. Implementation of a static model built in the scale 1:10 follows from the design of studied structures.

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8

NORMAN, C. "Britain Offers Plan for Chemical Weapons Verification." Science 233, no. 4764 (August 8, 1986): 617–18. http://dx.doi.org/10.1126/science.233.4764.617.

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9

Lee, Dong Kun, Jong Gye Shin, Youngmin Kim, and Yong Kuk Jeong. "Simulation-Based Work Plan Verification in Shipyards." Journal of Ship Production and Design 30, no. 2 (May 1, 2014): 49–57. http://dx.doi.org/10.5957/jspd.30.2.130032.

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10

Agazaryan, Nzhde, Wolfgang Ullrich, Steve P. Lee, and Timothy D. Solberg. "A methodology for verification of radiotherapy dose calculation." Journal of Neurosurgery 101, Supplement3 (November 2004): 356–61. http://dx.doi.org/10.3171/sup.2004.101.supplement3.0356.

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Object. A methodology for dosimetric verification of radiation therapy plans was developed and implemented. Dosimetric accuracy of clinically active intensity-modulated radiotherapy (IMRT) and intensity-modulated radiosurgery (IMRS) programs was assessed using this methodology. Methods. The methodology included several dosimetric tasks that were performed to assess the dosimetric accuracy of a treatment plan. Absolute dosimetry of the composite plan was performed using an ionization chamber. Film dosimetry was performed for each individual field and for the multifield composite plan. Calculated dose distributions and film measurements were compared using software developed for the specific tasks. Two-dimensional maps of gamma index, dose difference, and distance-to-agreement were calculated and displayed. To date, good agreement between measurements and calculations has been observed in 160 clinical IMRT and IMRS plans. The largest observed absolute dose disagreement was −4.79%. The mean absolute dose difference was 0.26%, with a standard deviation of 1.75%. The authors specify a 3% dose difference and 3-mm distance as the scaling acceptability criteria for the gamma index calculations of the film measurement analysis. The planning and delivery system in clinical use has proven consistently to satisfy these criteria. Conclusions. The dosimetric verification methods and the software tools developed were both quantitative and clinically practical. The measurements and the analysis demonstrated that the IMRT and IMRS planning and delivery system in use was sufficiently accurate for highly conformal treatments.

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Chen, Wen, Kuo-Kai Hsieh, Li-Chung Wang, and Jayanta Bhadra. "Data-Driven Test Plan Augmentation for Platform Verification." IEEE Design & Test 34, no. 5 (October 2017): 23–29. http://dx.doi.org/10.1109/mdat.2017.2713390.

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Alexandrian, Ara N., Panayiotis Mavroidis, Ganesh Narayanasamy, Kristen A. McConnell, Christopher N. Kabat, Renil B. George, Dewayne L. Defoor, Neil Kirby, Nikos Papanikolaou, and Sotirios Stathakis. "Incorporating biological modeling into patient‐specific plan verification." Journal of Applied Clinical Medical Physics 21, no. 3 (March 2020): 94–107. http://dx.doi.org/10.1002/acm2.12831.

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Wong, John W., Eric D. Slessinger, Russell E. Hermes, Carolyn J. Offutt, Tapan Roy, and Michael W. Vannier. "Portal dose images I: Quantitative treatment plan verification." International Journal of Radiation Oncology*Biology*Physics 18, no. 6 (June 1990): 1455–63. http://dx.doi.org/10.1016/0360-3016(90)90322-b.

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14

Hevezi, James M. "A Brief History of IMRT Plan Verification Reimbursement." Journal of the American College of Radiology 9, no. 7 (July 2012): 520. http://dx.doi.org/10.1016/j.jacr.2012.04.002.

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15

Urso, P., D. Corletto, L. Marzoli, R. Lorusso, P. Imperiale, A. Pepe, M. Mira, and L. Bianchi. "Comparison of dosimetric systems in radiotherapy plan verification." Physica Medica 32 (February 2016): 67. http://dx.doi.org/10.1016/j.ejmp.2016.01.230.

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16

Чевычелов and Yu Chevychelov. "VERIFICATION SYMMETRICAL PUT ON VOLUME." Modeling of systems and processes 8, no. 1 (July 2, 2015): 66–70. http://dx.doi.org/10.12737/12027.

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We consider the program block decision-making in the subsystem verification in terms of putting in the problem-oriented CAD calculation symmetric deliver. Calculate and analyze the conditions in which this decision may Bat made for the organization of the technological chain formation of the implementation plan of the specificity-deliver.

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17

Damato, Antonio L., Phillip M. Devlin, Mandar S. Bhagwat, Ivan Buzurovic, Scott Friesen, Jorgen L. Hansen, Larissa J. Lee, et al. "Independent brachytherapy plan verification software: Improving efficacy and efficiency." Radiotherapy and Oncology 113, no. 3 (December 2014): 420–24. http://dx.doi.org/10.1016/j.radonc.2014.09.015.

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18

Poppe, Bjoern, Arne Blechschmidt, Armand Djouguela, Ralf Kollhoff, Antje Rubach, Kay C. Willborn, and Dietrich Harder. "Two-dimensional ionization chamber arrays for IMRT plan verification." Medical Physics 33, no. 4 (March 22, 2006): 1005–15. http://dx.doi.org/10.1118/1.2179167.

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19

Balzer, Wolfgang, and Raimo Tuomela. "The Structure and Verification of Plan-Based Joint Intentions." International Journal of Cooperative Information Systems 06, no. 01 (March 1997): 3–26. http://dx.doi.org/10.1142/s0218843097000033.

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Tuomela's philosophical account of joint intentions is formalized in a special setting in which fully specified plans are available for the execution of the intended joint action. Using additional modal logical assumptions the definition is simplified and used to investigate how the presence of a joint intention can be efficiently checked.

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20

Sottiaux, A., M. Rodriguez, V. Baltieri, A. Monseux, C. Leclercq, D. Vanache, and M. Tomsej. "32 Automatization of clinical VMAT plan verification with PRIMO." Physica Medica 56 (December 2018): 54. http://dx.doi.org/10.1016/j.ejmp.2018.09.114.

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21

Sun, Yanze, Gang Zhou, Yaqun Zhu, Li Zou, and Ye Tian. "Appropriate reduction of the fragmentation level of subfield sequences to improve the accuracy of field delivery in IMRT for nasopharyngeal carcinoma." British Journal of Radiology 93, no. 1109 (May 1, 2020): 20190767. http://dx.doi.org/10.1259/bjr.20190767.

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Objective: Due to the influence of gravity, inertia and friction, there will be deviation between the position of multileaf collimator (MLC) in the delivered field and the initial intensity modulated radiotherapy (IMRT) plan. This study explores the effects of the fragmentation level of subfield sequences on this deviation and seeks ways to improve the accuracy of field delivery in IMRT for nasopharyngeal carcinoma (NPC). Methods: 30 patients with NPC were selected, and two groups (groups A and B) of IMRT plans were made in Pinnacle planning system. Different planning parameters were used for optimization so that the subfield sequence fragmentation level of Group B was significantly lower than that of Group A. With the MapCheck2, verification plan was implemented in two ways: 0o gantry angle and the actual treatment angle, then the differences between the two verification results of each group plan were analyzed. Results: The γ-passing rate verified at the actual treatment angle was lower than that of 0o gantry angle for each group plan, whereas the Group B plan shows small reduction. Mean change value (Δ) was decreased from 1.01% (Group A) to 0.40% (Group B) with 3%/3 mm criteria and 2.88% (Group A) to 1.52% (Group B) with 2%/2 mm criteria, respectively. The smaller the difference (Δ), the actual output dose of the field is more consistent with the original plan. There was no significant correlation between this change and the angle of the field. Conclusion: Appropriately reducing the fragmentation level of subfield sequence can reduce the effect of field angle on MLC position and improve the delivery accuracy of IMRT plan. Advances in knowledge: The fragmentation level of the subfield sequence may have an impact on the accuracy of the delivery of the plan. This study demonstrates this assumption by comparing the differences between 0° and actual angle verification. Mean change value (Δ) was decreased from Group A to Group B. The smaller the difference (Δ), the actual output dose of the field is more consistent with the original plan. The result of this study may help us to understand that appropriately increasing the subfield area and reducing the fragmentation level of the subfield sequence can reduce the difference between the two verification results, which can further improve the accuracy of the plan delivery in IMRT and tumor treatment.

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22

HONG, CHONG-HAE, EWEN C. D. TODD, and GYUNG-JIN BAHK. "Aerobic Plate Counts as a Measure of Hazard Analysis Critical Control Point Effectiveness in a Pork Processing Plant." Journal of Food Protection 71, no. 6 (June 1, 2008): 1248–52. http://dx.doi.org/10.4315/0362-028x-71.6.1248.

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A hazard analysis critical control point (HACCP) system was designed to identify specific hazards so that preventive and control measures to ensure the safety of a food could be implemented. Microbiological data generated through sampling were used to characterize the hygienic performance and to validate and verify the various HACCP plans. Aerobic plate counts (APCs) often are chosen as an indicator of the effectiveness of HACCP plans, because data for all aerobic bacteria are more easily collected than are data for pathogens of concern or other indicator organisms. However, it is not clear whether APCs are useful in verifying that a HACCP plan is working satisfactorily. In this study, APC data were collected from one pork-cutting plant in Korea both before and after the company initiated its HACCP plan. These APC data were used to compare microbiological differences and to determine the effect of any changes before and after implementing the HACCP plan. For this pork plant, after the HACCP plan was implemented the proportion of samples exceeding the 3 log CFU/cm2 limit dropped from 73.39 to 4.29% for the overall process. These results indicate that this plant improved its hygienic performance considerably and that the HACCP plan was an effective and valuable tool for achieving this improvement. The APC data were sufficient for validation and verification of the HACCP system that was successfully implemented to improve hygienic performance.

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Beltran, Chris, H. Wan Chan Tseung, Kurt E. Augustine, Martin Bues, Daniel W. Mundy, Timothy J. Walsh, Michael G. Herman, and Nadia N. Laack. "Clinical Implementation of a Proton Dose Verification System Utilizing a GPU Accelerated Monte Carlo Engine." International Journal of Particle Therapy 3, no. 2 (September 1, 2016): 312–19. http://dx.doi.org/10.14338/ijpt-16-00011.1.

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Abstract Purpose: To develop a clinical infrastructure that allows for routine Monte Carlo dose calculation verification of spot scanning proton treatment plans and includes a simple biological model to aid in normal tissue protection. Materials and Methods: A graphical processing unit accelerated Monte Carlo dose engine was used as the calculation engine for dose verification on spot scanning proton plans. An infrastructure was built around this engine that allows for seamless exporting of treatment plans from the treatment planning system and importing of dose distribution from the Monte Carlo calculation via DICOM (digital imaging and communications in medicine). An easy-to-use Web-based interface was developed so that the application could be run from any computer. In addition to the standard relative biological effectiveness = 1.1 for proton therapy, a simple linear equation dependent on dose-weighted linear energy transfer was included. This was used to help detect possible high biological dose in critical structures. Results: More than 270 patients were treated at our proton center in the first year of operation. Because most plans underwent multiple iterations before final approval, more than 1000 plans have been run through the system from multiple users with minimal downtime. The average time from plan export to importing of the Monte Carlo doses was less than 15 minutes. Treatment plans have been modified based on the nominal Monte Carlo dose or the biological dose. Conclusion: Monte Carlo dose calculation verification of spot scanning proton treatment plans is feasible in a clinical environment. The 3-dimensional dose verification, particularly near heterogeneities, has resulted in plan modifications. The biological dose data provides actionable feedback for end of range effects, especially in pediatric patients.

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Tambe, Nilesh S., Isabel M. Pires, Craig Moore, Christopher Cawthorne, and Andrew W. Beavis. "Validation of in-house knowledge-based planning model for advance-stage lung cancer patients treated using VMAT radiotherapy." British Journal of Radiology 93, no. 1106 (February 1, 2020): 20190535. http://dx.doi.org/10.1259/bjr.20190535.

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Objectives: Radiotherapy plan quality may vary considerably depending on planner’s experience and time constraints. The variability in treatment plans can be assessed by calculating the difference between achieved and the optimal dose distribution. The achieved treatment plans may still be suboptimal if there is further scope to reduce organs-at-risk doses without compromising target coverage and deliverability. This study aims to develop a knowledge-based planning (KBP) model to reduce variability of volumetric modulated arc therapy (VMAT) lung plans by predicting minimum achievable lung volume-dose metrics. Methods: Dosimetric and geometric data collected from 40 retrospective plans were used to develop KBP models aiming to predict the minimum achievable lung dose metrics via calculating the ratio of the residual lung volume to the total lung volume. Model accuracy was verified by replanning 40 plans. Plan complexity metrics were calculated using locally developed script and their effect on treatment delivery was assessed via measurement. Results: The use of KBP resulted in significant reduction in plan variability in all three studied dosimetric parameters V5, V20 and mean lung dose by 4.9% (p = 0.007, 10.8 to 5.9%), 1.3% (p = 0.038, 4.0 to 2.7%) and 0.9 Gy (p = 0.012, 2.5 to 1.6Gy), respectively. It also increased lung sparing without compromising the overall plan quality. The accuracy of the model was proven as clinically acceptable. Plan complexity increased compared to original plans; however, the implication on delivery errors was clinically insignificant as demonstrated by plan verification measurements. Conclusion: Our in-house model for VMAT lung plans led to a significant reduction in plan variability with concurrent decrease in lung dose. Our study also demonstrated that treatment delivery verifications are important prior to clinical implementation of KBP models. Advances in knowledge: In-house KBP models can predict minimum achievable lung dose-volume constraints for advance-stage lung cancer patients treated with VMAT. The study demonstrates that plan complexity could increase and should be assessed prior to clinical implementation.

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LEIDENS, Leticia Virginia. "CONVENTION ON CIVIL ASPECTS OF INTERNATIONAL CHILD ABDUCTION: AN ANALYSIS OF THE EXCEPTION ARTICLES 12 AND 13 “B” IN THE BRAZILIAN LEGAL SYSTEM." Revista Juridica 3, no. 56 (July 5, 2019): 39. http://dx.doi.org/10.21902/revistajur.2316-753x.v3i56.3567.

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ABSTRACTThis is a study of the 1980 Convention on Civil Aspects of International Child Abduction, an instrument of protection of children in the international sphere, specifically when they are subjected to the change of usual residence, resulting from the act of retention or illegal transfer of the parent. The issues include the verification of the contents of two conventional articles, which lack subjectivity in the normative plan and allow the judge to dismiss the order of return of the child to the State of usual residence. The option for methodological verification consists of the case law verification of the topic, more thoroughly with regard as to how they are materialized in Brazilian practice.KEYWORDS: Application; Exception articles; Hague Convention; Interpretation; Jurisprudence.RESUMOTrata-se de um estudo da Convenção sobre Aspectos Civis do Sequestro Internacional de Crianças de 1980, instrumento de proteção da criança no plano internacional, especificamente quando esta se encontra submetida à mudança de residência habitual, decorrente do ato de retenção ou transferência ilícita do genitor(a). A problemática perpassa na verificação do teor de dois artigos convencionais, os quais carecem de objetividade no plano normativo e permitem que o julgador afaste a ordem de retorno da criança ao Estado de residência habitual. A opção metodológica verificativa consiste na averiguação jurisprudencial do tema, detidamente em como eles se materializam na prática brasileira.PALAVRAS-CHAVE: Aplicação; Artigos exceções; Convenção da Haia; Interpretação; Jurisprudência.

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McJury, M., B. Foran, J. Conway, S. Dixon, K. Wilcock, G. Brown, and M. H. Robinson. "Optimising the use of virtual and conventional simulation: a clinical and economic analysis." Journal of Radiotherapy in Practice 6, no. 2 (June 2007): 83–91. http://dx.doi.org/10.1017/s1460396907006061.

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AbstractBackground and purpose: Currently, optimal use of virtual simulation for all treatment sites is not entirely clear. This study presents data to identify specific patient groups for whom conventional simulation may be completely eliminated and replaced by virtual simulation.Sampling and method: Two hundred and sixty patients were recruited from four treatment sites (head and neck, breast, pelvis, and thorax). Patients were randomly assigned to be treated using the usual treatment process involving conventional simulation, or a treatment process differing only in the replacement of conventional plan verification with virtual verification. Data were collected on set-up accuracy at verification, and the number of unsatisfactory verifications requiring a return to the conventional simulator. A micro-economic costing analysis was also undertaken, whereby data for each treatment process episode were also collected: number and grade of staff present, and the time for each treatment episode.Results: The study shows no statistically significant difference in the number of returns to the conventional simulator for each site and study arm. Image registration data show similar quality of verification for each study arm. The micro-costing data show no statistical difference between the virtual and conventional simulation processes.Conclusions: At our institution, virtual simulation including virtual verification for the sites investigated presents no disadvantage compared to conventional simulation.

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Miura, Hideharu, Masao Tanooka, Hiroyuki Inoue, Masayuki Fujiwara, Kengo Kosaka, Hiroshi Doi, Yasuhiro Takada, Soichi Odawara, Norihiko Kamikonya, and Shozo Hirota. "DICOM-RT Plan Complexity Verification for Volumetric Modulated Arc Therapy." International Journal of Medical Physics, Clinical Engineering and Radiation Oncology 03, no. 03 (2014): 117–24. http://dx.doi.org/10.4236/ijmpcero.2014.33017.

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28

Chen, G., E. Ahunbay, and A. Li. "Automatic Verification of Plan Data Transfer for Online Adaptive Radiotherapy." International Journal of Radiation Oncology*Biology*Physics 78, no. 3 (November 2010): S738—S739. http://dx.doi.org/10.1016/j.ijrobp.2010.07.1710.

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29

Spezi, E., A. L. Anaelini, F. Romani, and A. Ferri. "401 IMRT plan verification using a 2D ion chamber array." Radiotherapy and Oncology 76 (September 2005): S176—S177. http://dx.doi.org/10.1016/s0167-8140(05)81377-5.

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Luk, Samuel M. H., Juergen Meyer, Lori A. Young, Ning Cao, Eric C. Ford, Mark H. Phillips, and Alan M. Kalet. "Characterization of a Bayesian network‐based radiotherapy plan verification model." Medical Physics 46, no. 5 (April 15, 2019): 2006–14. http://dx.doi.org/10.1002/mp.13515.

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Conneely, Elaine, Andrew Alexander, Russell Ruo, Eunah Chung, Jan Seuntjens, and Mark J. Foley. "Monte Carlo investigation of collapsed versus rotated IMRT plan verification." Journal of Applied Clinical Medical Physics 15, no. 3 (May 2014): 133–47. http://dx.doi.org/10.1120/jacmp.v15i3.4681.

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32

Bianchini, D., F. Marcocci, E. Menghi, V. D’Errico, E. Mezzenga, and A. Sarnelli. "Treatment plan verification in MRgFUs for bone metastasis pain palliation." Physica Medica 32 (September 2016): 248. http://dx.doi.org/10.1016/j.ejmp.2016.07.526.

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33

., Darshan. "Verification of Open Core Protocol using System Verilog and UVM." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 5501–10. http://dx.doi.org/10.22214/ijraset.2021.36213.

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The ever-increasing complexity of the integrated circuits design and the scale of the projects are making verification more challenging and time-consuming. As a result, the rapidly expanding VLSI industry necessitates a highly reliable and robust verification mechanism. In this paper, System Verilog Verification and Universal Verification Methodologies were adopted to verify the Accellera Open Core Protocol 3.0 as per specifications. According to the verification plan, the environment was developed under a dynamic approach, and the passive aspects included scoreboard, functional coverage, and system verilog assertions. The presented frameworks had verified OCP achieving successful dataflow signals extensions as per results.

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V. Samuel Blessed Nayagam, P., and A. Shajin Nargunam. "Secure Data Verification and Virtual Machine Monitoring." International Journal of Engineering & Technology 7, no. 4.36 (December 9, 2018): 574. http://dx.doi.org/10.14419/ijet.v7i4.36.24140.

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Powerfully configurable virtualized assets make the physical area of the information and process autonomous of its portrayal and the clients have no influence over the physical arrangement of information and running procedure. In a multi-cloud condition the layer of deliberation between the physical equipment and virtualized frameworks gives a great way to convey cost reserve funds through server union and also expanded operational productivity and adaptability. This additional usefulness presents a virtualization layer that it turns into a chance of assault for the facilitated virtual administrations. The proposed access control show ensures virtual machines by receiving access control at various layers. The information shading plan help to secure the virtualized information utilized in the virtual machines. The information confirmation structure, which gives a grouping of trust wipes out the untrusted special virtual machines, and additionally utilize the confided in processing standards to guarantee the respectability of the checking condition. Safeguarding security plot ceaselessly screens the working and trade of information between the virtual machine. The test results demonstrate that this plan can viably counteract virtual machine escape without influencing the general productivity of the framework.

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Tu, Jia Chen, Xiao Ming Qian, and Pei Huang Lou. "Application research on AGV case: automated electricity meter verification shop floor." Industrial Robot: An International Journal 44, no. 4 (June 19, 2017): 491–500. http://dx.doi.org/10.1108/ir-11-2016-0285.

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Purpose The paper aims to propose general design rules and route plan for automated guided vehicle system (AGVS). The AGVS is applied to automated meter verification areas through a case study of meter verification shop floor to verify the feasibility. Design/methodology/approach The paper gives an appropriate route design for AGVS and proposes an optimized strategy for designed routes and a control system to manage traffic conflict. Findings This case study indicates that the application of AGVS can highly improve the efficiency of manufacturing and production. Besides, a reasonable transportation plan is beneficial in making the system run smoothly and in cutting conveying time. Practical implications The application of AGVS integrates a variety of advanced technologies (i.e. information technology, artificial intelligence, etc.) into the electricity meter verification system, which brings great economic and social benefits via enhancing the verification efficiency and reducing the total labor costs. Originality/value The application proposed in the paper solves the problem that the verification almost relies on workers, labor intensity is high and work efficiency is hard to improve. Furthermore, the general rules and strategies of AGVS transportation can be applied not only to the automated electricity meter verification but also in other industrial areas.

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Scheib, Stefan G., and Stefano Gianolini. "Three-dimensional dose verification using BANG gel: a clinical example." Journal of Neurosurgery 97 (December 2002): 582–87. http://dx.doi.org/10.3171/jns.2002.97.supplement_5.0582.

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Object. The authors sought to demonstrate the possible value of three-dimensional dose verification by using gel dosimetry. Methods. In this study, commercially available BANG—25 Gy gel was used. This polymer gel is tissue equivalent and the relaxation rate (R2) measured using magnetic resonance (MR) imaging is proportional to the absorbed dose in the gel. A cylindrical container filled with BANG was mounted within an anthropomorphic head phantom and was handled using the same process as would be used for a patient undergoing gamma knife radiosurgery (GKS). An irregular target outline was constructed and a dose plan was created consisting of seven shots, three using the 8-mm and four using the 4-mm collimator helmet. The maximum dose specified was 25 Gy. A combination of several single spin-echo MR imaging sequences with different echo times was used to calculate the R2. The geometric resolution of the MR images was approximately 1 mm3. To compare the measured dose distribution with the calculated one, isodoses were overlaid in three orthogonal planes by using specially designed analysis software. Conclusions. Comparisons of the measured and calculated relative dose distributions showed good overall agreement, with differences of less than 3 mm between measured and calculated isodoses. High resolution BANG gel dosimetry for GKS can be useful for the verification of clinical treatment plans, especially when multiple shots are involved. Further verifications will be done using additional imaging parameters and absolute dose calibrations to improve the method.

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Zhong, B. T., L. Y. Ding, Peter E. D. Love, and H. B. Luo. "An ontological approach for technical plan definition and verification in construction." Automation in Construction 55 (July 2015): 47–57. http://dx.doi.org/10.1016/j.autcon.2015.02.002.

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Benghi, Claudio. "Automated verification for collaborative workflows in a Digital Plan of Work." Automation in Construction 107 (November 2019): 102926. http://dx.doi.org/10.1016/j.autcon.2019.102926.

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Schifter, D., A. Kanner, and B. Corn. "SU-GG-T-516: Dose Calculation Verification for Stereotactic Treatment Plan." Medical Physics 35, no. 6Part17 (June 2008): 2843. http://dx.doi.org/10.1118/1.2962265.

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Alashrah, S., S. Kandaiya, S. Y. Yong, and S. K. Cheng. "Characterization of a 2D ionization chamber array for IMRT plan verification." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 619, no. 1-3 (July 2010): 181–85. http://dx.doi.org/10.1016/j.nima.2009.10.125.

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Kaluarachchi, Maduka, Vadim Moskvin, Fakhriddin Pirlepesov, Lydia J. Wilson, Fang Xie, and Austin M. Faught. "Automation of Monte Carlo‐based treatment plan verification for proton therapy." Journal of Applied Clinical Medical Physics 21, no. 8 (May 26, 2020): 131–38. http://dx.doi.org/10.1002/acm2.12923.

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Pietras, Sherry L. "5.1.1 Systems Engineer your Retirement by Simply Implementing a Verification Plan." INCOSE International Symposium 19, no. 1 (July 2009): 735–48. http://dx.doi.org/10.1002/j.2334-5837.2009.tb00979.x.

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Kisling, K., C. Nelson, G. Chronowski, B. Mason, and S. Kirsner. "Evaluation of a System for Independent Treatment Plan and Delivery Verification." International Journal of Radiation Oncology*Biology*Physics 90, no. 1 (September 2014): S736. http://dx.doi.org/10.1016/j.ijrobp.2014.05.2142.

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Diamantopoulos, Stefanos, Kalliopi Platoni, Georgios Patatoukas, Pantelis Karaiskos, Vassilis Kouloulias, and Efstathios Efstathopoulos. "Treatment plan verification: A review on the comparison of dose distributions." Physica Medica 67 (November 2019): 107–15. http://dx.doi.org/10.1016/j.ejmp.2019.10.029.

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Acharya, Sushil, Priyadarshan Manohar, Peter Wu, and Walter Schilling. "Using Academia-Industry Partnerships to Enhance Software Verification & Validation Education via Active Learning Tools." Journal of Education and Learning 6, no. 2 (January 5, 2017): 69. http://dx.doi.org/10.5539/jel.v6n2p69.

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Imparting real world experiences in a software verification and validation (SV&V) course is often a challenge due to the lack of effective active learning tools. This pedagogical requirement is important because graduates are expected to develop software that meets rigorous quality standards in functional and application domains. Realizing the necessity the authors designed and developed 42 delivery hours of active learning tools consisting of Case Studies, Class Exercises, and Case Study Videos for use in courses that impart knowledge on SV&V topics viz. requirements engineering, software reviews, configuration management, and software testing. Four key skill areas sought after by employers, namely communication skills, applied knowledge of methods, applied knowledge of tools, and research exposure are used to drive the development funded by a National Science Foundation grant and perfected through an industry-academia partnership.In this paper, we discuss in detail the four project plans the researchers and their industry counterparts followed over the past two years in the development and eventual dissemination of the active learning tools. A course enhancement plan was used to drive activities related to reviewing, enhancing, and modularizing modules, identified by a gap analysis performed by focus groups comprised of industry and academic partners. The course delivery plan was used to drive activities related to developing content delivery strategies. An evaluation and assessment plan was used to drive activities related to periodically evaluating student learning and assessing the project. And finally a course dissemination plan is being used to drive activities related to distributing course modules and assessment reports. The tools have been shared through two workshops and other means with instructors in universities and industry partners.

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Takahashi, Y., M. Koizumi, I. Sumida, T. Ogata, Y. Akino, M. Yagi, F. Isohashi, K. Konishi, and Y. Yoshioka. "SU-E-T-368: Semi-Independent Plan Verification Method for High-Dose-Rate Intracavitary Brachytherapy Using Benchmark Plan." Medical Physics 38, no. 6Part16 (June 2011): 3572. http://dx.doi.org/10.1118/1.3612322.

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Joo, Kyungil. "Effectiveness Verification and Improvement Plan of University Flipped-Learning after Covid-19." Journal of Korean Policy Studies 20, no. 4 (December 31, 2020): 59–83. http://dx.doi.org/10.46330/jkps.2020.12.20.4.59.

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Pawalowski, B., K. Mikolajczyk, S. Adamczyk, A. Skrobala, and M. Adamczyk. "PO-0821 INFLUENCE OF IMRT PLAN OPTIMIZATION PARAMETERS ON DOSIMETRIC VERIFICATION RESULTS." Radiotherapy and Oncology 103 (May 2012): S320. http://dx.doi.org/10.1016/s0167-8140(12)71154-4.

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Stroom, J., J. Boita, M. Rodrigues, and C. Greco. "PV-0415: Verification of pre-treatment DVH measurements for individual plan QA." Radiotherapy and Oncology 123 (May 2017): S218—S219. http://dx.doi.org/10.1016/s0167-8140(17)30857-5.

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Jabbari, Iraj, and Shahram Monadi. "Development and validation of MCNPX-based Monte Carlo treatment plan verification system." Journal of Medical Physics 40, no. 2 (2015): 80. http://dx.doi.org/10.4103/0971-6203.158678.

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