Relevant bibliographies by topics / Distance evaluation

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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 'Distance evaluation'

Author: Grafiati
Published: 28 May 2022
Last updated: 18 July 2025

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Journal articles on the topic "Distance evaluation"

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Easa, Said M., Yasser Hassan, and A. O. Abd El Halim. "Sight distance evaluation on complex highway vertical alignments." Canadian Journal of Civil Engineering 23, no. 3 (1996): 577–86. http://dx.doi.org/10.1139/l96-866.

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Sight distance (stopping, passing, and decision) is a key element in highway geometric design. Existing models for evaluating sight distance on vertical alignments are applicable only to simple, isolated elements such as a crest vertical curve, a sag vertical curve, and a reverse vertical curve (a sag curve following a crest curve, or vice versa). This paper presents an analytical methodology for evaluating sight distance on complex vertical alignments that involve any combination of vertical alignment elements. The methodology can be used for evaluating passing sight distance on two-lane highways, and stopping sight distance and decision sight distance on all highways. Sight distance controlled by the headlight beam can also be evaluated. The locations of sight-hidden dips, which may develop when a sag vertical curve follows a crest vertical curve with or without a common tangent, can be determined. Also, sight distances obstructed by overpasses are evaluated. A profile of the available sight distance can be established and used to evaluate sight distance deficiency and the effect of alignment improvements. A software was developed and can be used for determining the available sight distance accurately. The software may replace the current field and graphical practice for establishing the no-passing zones and evaluating stopping and decision sight distances on complex vertical alignments. Key words: sight distance, vertical alignment, highway, passing zones.
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Jeon, Heonbae, Soonbong Lee, Hongseon Kim, Seung Bum Soh, and Seongmoon Kim. "Portfolio Evaluation with the Vector Distance Based on Portfolio Composition." Mathematics 11, no. 1 (2023): 221. http://dx.doi.org/10.3390/math11010221.

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We propose a novel portfolio evaluation method, a distance-based approach, which directly evaluates the portfolio composition rather than portfolio returns. In this approach, we consider a portfolio as an estimator for an in-sample tangency portfolio, which we define as the optimal reference portfolio. We then evaluate the portfolio by computing its vector distance to the optimal reference portfolio. In search of the proper distance-based performance measure, we choose four representative vector distances and compare their suitability as a new portfolio performance measure. Through extensive statistical analysis, we find that the Euclidean distance is the most proper distance-based performance measure of the four representative vector distances. We further verify that a portfolio with a large Euclidean distance is not desirable because not only does it provide a low utility implied by the first four moments of portfolio returns, but also it is not likely to maintain its long-term performance. Hence, the Euclidean distance can complement the return-based performance measures by confirming the reliability of a portfolio in its investment performance.
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Sari, Y., P. B. Prakoso, and A. R. Baskara. "Evaluation the influence of distance-based K-means method for detecting moving vehicles." IOP Conference Series: Materials Science and Engineering 1212, no. 1 (2022): 012044. http://dx.doi.org/10.1088/1757-899x/1212/1/012044.

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Abstract Detecting moving vehicles is one of important elements in the applications of Intelligent Transport System (ITS). Detecting moving vehicles is also part of the detection of moving objects. K-Means method has been successfully applied to unsupervised cluster pixels for the detection of moving objects. In general, K-Means is a heuristic algorithm that partitioned the data set into K clusters by minimizing the number of squared distances in each cluster. In this paper, the K-Means algorithm applies Euclidean distance, Manhattan distance, Canberra distance, Chebyshev distance and Braycurtis distance. The aim of this study is to compare and evaluate the implementation of these distances in the K-Means clustering algorithm. The comparison is done with the basis of K-Means assessed with various evaluation paramaters, namely MSE, PSNR, SSIM and PCQI. The results exhibit that the Manhattan distance delivers the best MSE, PSNR, SSIM and PCQI values compared to other distances. Whereas for data processing time exposes that the Braycurtis distance has more advantages.
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Ciplak, Hande, Neslihan Arslan, and Ayten Pinar Bal. "Distance education evaluation scale: Teacher dimension." Pedagogical Research 8, no. 1 (2023): em0141. http://dx.doi.org/10.29333/pr/12594.

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The aim of this study is to develop a scale for teachers’ evaluation of the distance education process and to examine teachers’ evaluations of distance education according to the variables of gender and occupational seniority with the measurement tool. The sampling of the research consists of 616 secondary school teachers who work in a large city in the south of Turkey, selected by cluster sampling method. In the analysis of the data, respectively; exploratory and confirmatory factor analysis, Cronbach’s alpha analysis, and Guttman split half value were used. According to exploratory factor analysis applied to establish the construct validity of the scale in question, it was found that the scale explained 66% of the total variance. As a result of confirmatory factor analysis of the obtained structure, it was concluded that the scale had an acceptable model. When the reliability values of the scale were calculated, the Cronbach’s alpha value was determined as .94. As a result, when teachers’ evaluations of distance education are considered, a valid and reliable measurement tool in five-point Likert type consisting of 20 items consisting of “learning environment”, “personality”, and “limitation” sub-factors has been developed.
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Darzi, Tanveer Ahmed, and Afshan Yousuf. "Evaluation of Distance Learning Pedagogy." Learning Community-An International Journal of Educational and Social Development 6, no. 1 (2015): 111. http://dx.doi.org/10.5958/2231-458x.2015.00009.3.

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Dr. Ubaidullah Khan. "Course Evaluation in Distance Learning." Tasdiqتصدیق۔ 4, no. 01 (2022): 1–11. http://dx.doi.org/10.56276/tasdiq.v4i01.81.

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This article is part of a course evaluation project at Allama Iqbal Open University, one of the largest universities in Pakistan and the main university offering education through the Distance Learning System. The first part of this project was a quantitative analysis of the responses of students to the course evaluation survey whereas this article presents a qualitative analysis of open-ended questions asked to students studying Phonology course and teachers teaching this course at Islamabad and Rawalpindi campuses of the university. The students presented their point of view regarding the three components under inquiry and suggested improvements in the course by upgrading the course contents and improving the quality of tutorial support.
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Dillon, Connie, and Charlotte Gunawardena. "Evaluation research in distance education." British Journal of Educational Technology 23, no. 3 (1992): 181–94. http://dx.doi.org/10.1111/j.1467-8535.1992.tb00329.x.

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McCulloch, Kenneth H. "Participatory evaluation in distance learning." Open Learning: The Journal of Open, Distance and e-Learning 12, no. 1 (1997): 24–30. http://dx.doi.org/10.1080/0268051970120104.

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Farrior, Evelyn S., and Margie L. Gallagher. "An Evaluation of Distance Education." Topics in Clinical Nutrition 15, no. 4 (2000): 10–18. http://dx.doi.org/10.1097/00008486-200015040-00003.

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Dalton, Bruce. "Distance Education: A Multidimensional Evaluation." Journal of Technology in Human Services 18, no. 3-4 (2001): 101–15. http://dx.doi.org/10.1300/j017v18n03_07.

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Dissertations / Theses on the topic "Distance evaluation"

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Fox, Jan Isobel. "Review of the factors influencing the satisfaction of learning in online courses at Marshall University." Morgantown, W. Va. : [West Virginia University Libraries], 2000. http://etd.wvu.edu/templates/showETD.cfm?recnum=1345.

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Thesis (Ed. D.)--West Virginia University, 2000.<br>Title from document title page. Document formatted into pages; contains ix, 128 p. Vita. Includes abstract. Includes bibliographical references (p. 88-106).
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Bridgman, C. F. "Biomechanical evaluation of distance running during training and competition." Thesis, University of Salford, 2015. http://usir.salford.ac.uk/34545/.

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Middle-distance athletes are faced with a unique challenge to generate high running velocities (between 6.00 and 8.00 m∙s-1) while making movements as economical as possible (Williams & Cavanagh, 1987). Research suggests that 54% of the variation in running economy can be attributed to gait and spring-mass characteristics. The aims of this thesis were to establish a valid means of measuring gait and spring-mass characteristics away from the laboratory environment and then to provide a biomechanical evaluation of middle-distance running during competition and training in order to identify gait and spring-mass characteristics that influence performance time. Accordingly this thesis has demonstrated that high-speed, Optojump and laser distance measurement (LDM) device all provided a valid measurement of gait and spring-mass characteristics. Spring-mass characteristics obtained through mathematical modelling (estimations based on high-speed video data only) during running were comparable to the gold standard direct measurement (using a force platform). These mathematical models allow for estimations of Kvert and Kleg to be reported away from the laboratory environment on an outdoor 400 m synthetic athletics track. During outdoor track competition international-level athletes achieved a lower performance time as a consequence of a longer step length and lower Kvert¬ and Kleg. For the first time this suggests that a longer step length, greater knee flexion, lower Kvert and Kleg are differentiating factors associated with a reduced middle-distance performance time. Whereas, over a single training session and training block regional-level athletes maintained running velocity by significantly increased step frequency and a reduction in Kvert/BW. Overall, this thesis implies that middle-distance training should monitor how athletes sustain a high running velocity with more emphasis placed on step length to develop competitive performance by increasing flight distance. To increase the travel during flight it is suggested that athletes increase vertical ground reaction forces through plyometric exercises (e.g. stretch-shortening cycle) and continual development of middle-distance training history.
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Kline, Jeanie Pollard. "Managing change for a distance learning initiative: An evaluation." W&M ScholarWorks, 1996. https://scholarworks.wm.edu/etd/1539618625.

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The purpose of this case study was to examine the degree to which those managing change for a distance learning initiative followed David Nadler's (1989) four action steps designed to reduce resistance in making the transition from the former operational state to a newly-created state.;The four action steps include providing opportunities for participation among employees, allowing employees to identify current operations that will not work in the new organizational state, rewarding behavior that assists in the transition, and allowing sufficient time for the change to take place. The findings in this study revealed that participation was the critical component that effected successful change.;Those units in which administrators encouraged employee participation in the transition were able to make adaptations in their operations that allowed for the development of effective and efficient student support services for distance learners. Employees were also very satisfied with the management of change provided by the administrators.;Those units in which administrators did not encourage employee participation in the transition were able to make adaptations for distance learners; however, the services provided were neither effective nor efficient. Further, employees were dissatisfied with the managers' styles in directing the change.;It is therefore recommended that managers involve employees whenever possible in their units' operations--decision-making, problem-solving, and transitions undertaken by the unit--for a productive and satisfied workforce.;Further research is suggested in employee participation and managerial style, as well as in women's leadership, and teamwork in organizations.
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Pérez, Cereijo Maria Victoria. "Factors Influencing How Students Value Asynchronous Web Based Courses." Thesis, University of North Texas, 1999. https://digital.library.unt.edu/ark:/67531/metadc6151/.

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This dissertation discovered the factors influencing how students value asynchronous Web-based courses through the use of qualitative methods. Data was collected through surveys, observations, interviews, email correspondence, chat room and bulletin board transcripts. Instruments were tested in pilot studies of previous semesters. Factors were identified for two class formats. The asynchronous CD/Internet class format and the synchronous online Web based class format. Also, factors were uncovered for two of the instructional tools used in the course: the WebCT forum and WebCT testing. Factors were grouped accordingly as advantages or disadvantages under major categories. For the asynchronous CD/Internet class format the advantages were Convenience, Flexibility, Learning Enhancement, and Psychology. The disadvantages included Isolation, Learning Environment, and Technology. For the synchronous online Web based class format the advantages were Convenience, Flexibility, Human Interaction, Learning Enhancement and Psychology, whereas the disadvantages included Isolation, Learning Environment and Technology. Concurrently, the study revealed the following factors as advantages of the WebCT Forum: Help Each Other, Interaction, Socialization, Classroom News, and Time Independent. The disadvantages uncovered were Complaints, Technical Problems and Isolation. Finally, advantages specified for the WebCT testing tool were Convenience, Flexibility and Innovations, and its disadvantages were Surroundings Not Conducive to Learning, and Technical Problems. Results indicate that not only classroom preference, learning style and personality type influence how students value a Web based course, but, most importantly, a student's lifestyle (number of personal commitments, how far they live, and life's priorities). The WebCT forum or bulletin board, and the WebCT testing or computerized testing were seen mostly by students, as good tools for encouraging classroom communication and testing because of the convenience and flexibility offered. Still, further research is needed both quantitatively and qualitatively to ascertain the true weight of the factors discovered in this study.
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Looney, Valerie Mary. "An evaluation of computer aided learning for trainee magistrates." Thesis, University of Portsmouth, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.247651.

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Nilsson, Daniel. "Evaluation of Secure Long Distance Communication in Non-Urban Environments." Thesis, Luleå tekniska universitet, Rymdteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-67808.

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Flannigan-Wheeler, Nadine. "The deprivation and application of standards in distance education program evaluation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq23132.pdf.

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Whysong, Christan Yvonne. "Chemosensory Evaluation of Training and Oxidative Stress in Long Distance Runners." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/64175.

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Athletes complete a balance of training loads and rest periods, risking overtraining when this balance favors excessive training. Diagnostic biomarkers have been suggested but a clear diagnostic method is not available. This preliminary study's objective was to use data standardization to improve an electronic nose's (enose) discrimination model for athletes' breathprints after cumulative and acute training loads. Collegiate long distance runners were observed throughout competitive training seasons. Prolonged training effects were observed through Profile of Mood States (POMS) surveys and blood and breath samples collected at the beginning (Pre-Study) and end of the training season (Post-Study). Immediate training effects were observed for one low (LI) and one high (HI) intensity acute training load. Subjects provided blood and breath samples before the LI (BSR) and HI (BLR), completed the training load, and provided blood and breath samples after each training load (ASR; ALR). Blood was analyzed for antioxidant enzymes (catalase, glutathione peroxidase, and glutathione reductase). Breath samples were analyzed with a Cyranose® 320 (C320) enose. Age, gender, and training loads affected oxidative states, with the HI having more effect than the LI. Mood profiles indicated healthy and successful athletes. Neither POMS nor blood parameters suggested overtrained athletes. The C320 successfully discriminated between breathprints of athletes correlating to the training loads. Direct data standardization through carbon dioxide as a baseline sensor purge correctly classified 100 percent of the data through linear discriminant analysis (LDA). Indirect data standardization by subtracting Pre-Study data from the subsequent data classes (e.g. BSR) correctly classified 96 percent of the data. An LDA on the combined blood parameters correctly classified 61.9 percent of the data. The blood analyses required invasive sample collections and involved procedures that took a long time (hours). In comparison, the best C320 model correctly classified 96 percent of the data and required less invasive sample collections, simple analysis, and short result times (minutes). Evidence suggested the C320 will provide a simple and noninvasive method for clinically diagnosing the onset of overtraining. The unit is small, handheld, rapid, and noninvasive so it could also be used on- site to provide immediate feedback for training optimization.<br>Ph. D.
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Whysong, Christan. "Chemosensory Evaluation of Training and Oxidative Stress in Long Distance Runners." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/35665.

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Athletic performance is improved by increasing training loads but it is difficult to determine an athleteâ s response to a training load and the amount of stress incurred. This makes athletes susceptible to overtraining, leading to decreased performance levels, due to physical exhaustion and oxidative stress. Past studies have observed a myriad of biomarkers without conclusively identifying a clinically specific marker for overtraining due to oxidative stress. These methods require invasive testing and lengthy result times, making real-time adjustments of training programs to prevent overtraining difficult. The use of an electronic nose (enose) as a non-invasive evaluation tool will provide immediate feedback on training stress, allowing for real-time training adjustments for performance optimization. <p> Two long distance runners (one male and one female) completed a pilot study. Both performed a short run and the female performed a long run. Blood samples were collected from each athlete before and after each run and analyzed for catalase and GPx activity. Breath samples were also collected before and after each run and analyzed by an enose. Multivariate analyses of combined blood data yielded better results than individual analyses. Although data was limited for this pilot study, canonical discriminant analyses (CDA) showed separation between before and after run and between short and long run breath samples. Cross validations also found up to a 77.8 percent prediction accuracy for the enose. Results indicate an enose is feasible for detecting changes in the breath occurring after physically demanding exercise perhaps due to oxidative stress incurred during the exercise.<br>Master of Science
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Толбатов, Володимир Аронович, Владимир Аронович Толбатов, Volodymyr Aronovych Tolbatov, O. Viunenko, and А. Tolbatov. "Problems of distance learning systems monitoring and evaluation of their efficiency." Thesis, Sumy State University, 2017. http://essuir.sumdu.edu.ua/handle/123456789/55647.

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Books on the topic "Distance evaluation"

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Education, American Council on. Distance learning evaluation guide. The Council, 2001.

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Education, American Council on, ed. Distance learning evaluation guide. American Council on Education, 1996.

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Kumari, Kaushik Vijay, and Nigam B. K, eds. Management and evaluation of distance education. Kanishka Publishers, 1996.

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Clark, Richard E. Evaluating distance learning technology. The Office, 1989.

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Wis.) Conference on Teaching at a Distance (3rd 1987 Aug. 3-6 Madison. Evaluation of teaching/learning at a distance. University of Wisconsin-Madison, 1987.

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Jan, Sweeney, Putz David, Ruchensky Dawn, and Educational Resources Information Center (U.S.), eds. Iowa Distance Education Alliance: Final evaluation report. Research Institute for Studies in Education, College of Education, Iowa State University, 1994.

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Lane, Carla. TEAMS evaluation summary, 1992-96. U.S. Dept. of Education, Office of Educational Research and Improvement, Educational Resources Information Center, 1996.

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Eby, Gulsun, and T. Volkan Yuzer. Identification, evaluation, and perceptions of distance education experts. Information Science Reference, 2015.

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Clark, W. Bruce. Evaluation of year one of Distance Learning Project North. Alberta Education, 1990.

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Pina, Antonio R. Bartolome. Technology enhanced evaluation in open and distance learning.. University of Barcelona, 1998.

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Book chapters on the topic "Distance evaluation"

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Henri, France, Bernadette Charlier, Amaury Daele, and Béatrice Pudelko. "Evaluation for knowledge." In Quality Education @ a Distance. Springer US, 2003. http://dx.doi.org/10.1007/978-0-387-35700-3_23.

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Shou, Yutao, Nikos Mamoulis, Huiping Cao, Dimitris Papadias, and David W. Cheung. "Evaluation of Iceberg Distance Joins." In Advances in Spatial and Temporal Databases. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45072-6_16.

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Dalton, Bruce. "Distance Education: A Multidimensional Evaluation." In New Advances in Technology for Social Work Education and Practice. Routledge, 2024. http://dx.doi.org/10.4324/9781003573173-9.

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Catalano, Amy J. "Evaluation of the Distance Education Teaching and Learning Environment." In Measurements in Distance Education. Routledge, 2018. http://dx.doi.org/10.4324/9781315229447-4.

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Zhang, Zhong, Meiyan Huang, Shuang Liu, and Tariq S. Durrani. "Evaluation Distance Metrics for Pedestrian Retrieval." In Lecture Notes in Electrical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6504-1_140.

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Poppi, Franca, Lesley Low, and Marina Bondi. "17. PLEASE (Primary Language Teacher Education: Autonomy and Self-Evaluation)." In Distance Education and Languages, edited by Börje Holmberg, Monica Shelley, and Cynthia J. White. Multilingual Matters, 2005. http://dx.doi.org/10.21832/9781853597770-019.

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Pastor, Jesus T., and Juan Aparicio. "Multiplicative and Additive Distance Functions: Efficiency Measures and Duality." In Benchmarking for Performance Evaluation. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2253-8_6.

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Berkachy, Rédina. "Evaluation of Linguistic Questionnaire." In The Signed Distance Measure in Fuzzy Statistical Analysis. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76916-1_7.

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Munda, Giuseppe. "Comparison of Fuzzy Sets: A New Semantic Distance." In Multicriteria Evaluation in a Fuzzy Environment. Physica-Verlag HD, 1995. http://dx.doi.org/10.1007/978-3-642-49997-5_6.

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Ludeña, Patricia, Javier Simó, Katty Rohoden, and Marco Morocho. "Performance Evaluation of Long-Distance 802.11n Networks." In New Contributions in Information Systems and Technologies. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16486-1_102.

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Conference papers on the topic "Distance evaluation"

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Gil, G., J. A. Cobano, F. Caballero, and L. Merino. "Evaluation of Neural Euclidean Signed Distance Fields for Distance-Aware Local Path Planning." In 2024 7th Iberian Robotics Conference (ROBOT). IEEE, 2024. https://doi.org/10.1109/robot61475.2024.10796950.

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He, Peng, and Lixia Zeng. "The Impact of Digital Virtual AI Role Evaluation on College Students' Learning Satisfaction." In 2024 15th International Conference on Distance Learning and Education (ICDLE). IEEE, 2024. https://doi.org/10.1109/icdle63439.2024.00008.

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Narciso, Diogo A. C., Steven Sachio, and Maria M. Papathanasiou. "Flexibility Assessment via Affine Bounds Evaluation." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.121782.

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Process design deals with the problem of finding the best process set-up, subject to a set of constraints defining the design space (DSp). This selection is guided primarily by economic considerations. Flexibility may also play an important factor in process design, since it embodies �how far� from the design space�s bounds are the candidate optimal designs, which in some cases may lead to off-spec products. This work proposes a novel approach for flexibility assessment. In design problems where the design space is constrained by a set of affine bounds, flexibility may be expressed either as the minimum or the maximum distance with respect to the feasible (design) space bounds. For any point in the DSp, the minimum distance provides a good indicator on the minimum flexibility, as the direction that represents the highest risk of violating the constraints. An analogous conclusion can be drawn between the maximum distance and maximum flexibility. These distances can be computed exactly via geometrical approaches, enabling the calculation of a minimum-based and maximum-based flexibility metrics for all points in the DSp. This class of problems are in fact multiparametric programming problems as the goal is to obtain comprehensive flexibility maps, rather than investigating unique points in the DSp. In the case of minimum flexibility, their solutions comprise: (i) a set of critical regions defining a convex hull within the DSp (each associated with a unique nearest bound of the feasible space), (ii) the corresponding optimizer functions (projection at nearest bound), and (iii) objective functions (minimum distance). A novel framework is under development for this class of problems. It enables a new paradigm for flexibility assessment, which can be applied to design problems of any dimension. Complexity is significantly reduced in comparison with the classic multiparametric programming approaches, since only a limited number of active sets need to be considered during solution calculation.
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Noviyanti, Mery, and Tian Belawati. "EVALUATION OF SSO LEARNING SUPPORT APPLICATION FOR DISTANCE LEARNERS." In 17th annual International Conference of Education, Research and Innovation. IATED, 2024. https://doi.org/10.21125/iceri.2024.0809.

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Kim, Hak-Joon. "Transferring Distance-Amplitude Correction Curves Using Ultrasonic Modeling." In QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2004. http://dx.doi.org/10.1063/1.1711696.

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Gossa, Julien. "Evaluation of network distances properties by NDS, the Network Distance Service." In 2006 3rd International Conference on Broadband Communications, Networks and Systems. IEEE, 2006. http://dx.doi.org/10.1109/broadnets.2006.4374306.

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Monteiro, Fernando C., and Aurélio C. Campilho. "Distance measures for image segmentation evaluation." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2012: International Conference of Numerical Analysis and Applied Mathematics. AIP, 2012. http://dx.doi.org/10.1063/1.4756257.

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Pilz, Thomas, Axel Philipsenburg, and Wolfram Luther. "Visualizing the evaluation of distance measures." In Ninth Meeting of the ACL Special Interest Group in Computational Morphology and Phonology. Association for Computational Linguistics, 2007. http://dx.doi.org/10.3115/1626516.1626527.

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Basener, William, and Marty Flynn. "Microscene evaluation using the Bhattacharyya distance." In Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VII, edited by Allen M. Larar, Makoto Suzuki, and Jianyu Wang. SPIE, 2018. http://dx.doi.org/10.1117/12.2327004.

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Kyrychek, H. H., M. Yu Tiahunova, and M. S. Zui. "Evaluation criteria and distance learning system." In EUROPEAN INTEGRATION TRENDS IN PEDAGOGY AND PSYCHOLOGY AND PROSPECTS FOR UKRAINE. Baltija Publishing, 2025. https://doi.org/10.30525/978-9934-26-550-1-32.

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Reports on the topic "Distance evaluation"

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Bullot, H. Evaluation of Advanced TCP Stacks on Fast Long-Distance Production Networks. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/826912.

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Beauchemin, M., K. P. B. Thomson, and G. Edwards. On the Hausdorff distance used for the evaluation of segmentation results. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1998. http://dx.doi.org/10.4095/219746.

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Kim, Seeun, and Youn-Kyung Kim. The Impact of Regulatory Focus and Temporal Distance on Evaluation of Online Consumer Reviews. Iowa State University, Digital Repository, 2016. http://dx.doi.org/10.31274/itaa_proceedings-180814-1437.

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Weidemann, Alan, and Walton McBride. Evaluation of the alpha-Beta Instrument and the Distance Visibility Algorithm for Camera and Diver Visibility. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada627657.

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Tarasov, Alexander F., Irina A. Getman, Svetlana S. Turlakova, Ihor I. Stashkevych, and Serhiy M. Kozmenko. Methodological aspects of preparation of educational content on the basis of distance education platforms. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3857.

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The urgency of application of technologies and means of distance learning in educational process of higher educational institutions is designated. The growing frequency of using cloud services and electronic textbooks in mobile and distance learning is noted. The importance of building educational environment is highlighted, where the key element is e-learning resources in digital form, including structure, subject content and metadata about the course. For higher educational institutions, the need for methodical support for the preparation of educational content on the basis of distance education platforms is determined. The experience of using the free distance education platform Moodle within the framework of the higher educational institution Donbass State Engineering Academy is considered. Methodical aspects of training content preparation on the basis of distance education platforms on the example of MoodleDDMA system are given. The General structure of the distance course and an example of evaluation of test tasks of the distance course (module) on topics are considered. An example of the presentation of the course on the basis of distance education platform MoodleDDMA is given. Conclusions about the experience of using the Moodle distance education system at the Donbass State Engineering Academy from the point of view of teachers and students are drawn. The perspective directions of researches and development of the Moodle distance education platform in completion and expansion of educational materials by multimedia elements and links, and also creation of the application for mobile devices for possibility of more effective use of the platform are allocated.
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Weinreb, Alex, and Guy Stecklov. Improving the Quality of Data and Impact-Evaluation Studies in Developing Countries. Inter-American Development Bank, 2010. http://dx.doi.org/10.18235/0008619.

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While the science of program evaluation has come a tremendous distance in thepast couple of decades, measurement error remains a serious concern and its implications are often poorly understood by both data collectors and data analysts. The primary aim here is to offer a type of "back-to-basics" approach to minimizing error in developing country settings, particularly in relation to impactevaluation studies. Overall, the report calls for a two-stage approach to dealing with mismeasurement. In the first stage, researchers should attempt to minimize mismeasurement during data collection, but also incorporate elements into the study that allow them to estimate its overall dimensions and effects on analysis with more confidence. Econometric fixes for mismeasurement¿whose purview is limited to a smaller subset of errors¿then serve as a secondary line of defense. Such a complementary strategy can help to ensure that decisions are made based on the most accurate empirical evaluations.
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Sreedhara, Sindhu, Adam Brandt, and Jingfan Wang. PR-681-18701-R01 Evaluating the Use of Optical Gas Imaging Cameras for Above Ground Facilities. Pipeline Research Council International, Inc. (PRCI), 2020. http://dx.doi.org/10.55274/r0011989.

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Natural gas is the largest primary energy source in the United States. Reliance on natural gas is only increasing as its role in electricity systems becomes more significant and that of coal diminishes. While this has air quality and health benefits over the use of coal, the global warming potential of methane - the primary component of natural gas - cannot be ignored. In order to mitigate methane leaks, periodic leak detection and repair programs are required in the United States. Various different technologies exist to detect and/or quantify methane leaks. Studying them and evaluating their performance is an important step in evaluating equivalence in emissions reductions between technologies. In this study, we evaluate the performance of two optical gas imaging cameras. The first is the FLIR GF320, an infrared camera, which we coupled with the Providence Photonics QL320 to enable it to quantify methane leaks. The second is the Rebellion Photonics mini-GCI, a hyperspectral imaging camera, which provides automated alerts when a leak is detected. Experiments to test the two systems were carried out at the Methane Emissions Technology Evaluation Center in Fort Collins, Colorado over two weeks. We tested both technologies at a variety of leak size and imaging distance combinations. In order to better simulate real-world conditions, we also tested the performance of the two systems in the presence of different types of interference. For the first technology, we evaluate the quantification performance and for the second, the detection performance. We report performance metrics at different distances, interference scenarios and leak sizes in the case of Rebellion. The two technologies differ in terms of automation, detection and quantification capabilities, imaging distance and minimum observable leak size.
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Siercke, Maj, Sanne Pagh Moller, Lau Caspar Thygesen, Henrik Sillesen, and Dorthe Overgaard. Improving Rehabilitation for Patients with Intermittent Claudication: A Randomized Controlled Trial with a Mixed-Methods Evaluation (The CIPIC Rehab Study). Science Repository, 2021. http://dx.doi.org/10.31487/j.jicoa.2021.04.01.sup.

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Aim: This study aimed to explore how qualitative data about rehabilitation for patients with intermittent claudication do provide an enhanced understanding of the quantitative experimental results. Background: The study was a randomized clinical trial comparing a rehabilitation intervention with usual care. A statistically significant difference between rehabilitation and usual care was found in walking distance, physical activity, quality of life and diet. The findings from the quantitative and qualitative analyses were analysed separately on their own tradition. In this study, mixed methods address whether the qualitative results could help explain the quantitative results and bring forward additional information. Design: Complex mixed-method intervention design with a convergent questionnaire variant. Methods: From April 2017- May 2019, patients diagnosed with intermittent claudication were included in a randomized clinical trial (N=118). In addition, qualitative interview informants from the intervention group were sampled from the quantitative study population for a survey (N=43) and focus group interviews (N=10). Interviews were conducted from April 2018-August 2019. Results: Integrated analyses identified how improvement in walking distance, physical activity, diet and quality of life was affected by team spirit, pedometer, education and fun exercise in a local setting. Quantitative and qualitative findings primarily confirmed and expanded each other; however, two discordant results were also evident. Conclusion: Our study adds empirical evidence regarding how a mixed-methods study can be used to obtain a more nuanced understanding of complex healthcare problems. The study provides new knowledge concerning how to set up a rehabilitation programme for patients with intermittent claudication.
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Finch, Graeme, and Stuart Harmon. PR-670-183826-R02 Extended Evaluation of LSM - Magnetic Measurements of Corrosion Flaws. Pipeline Research Council International, Inc. (PRCI), 2021. http://dx.doi.org/10.55274/r0012189.

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Integrity assessment of pipelines is vital to ensure that oil and gas pipes have adequate strength to prevent leaks and ruptures. Regular inspections are conducted to confirm safe operation conditions of pipelines. The industry's principle method for assessing pipelines is in-line inspection (ILI), involving the passing of a device along the inside of a pipe to assess the condition of the pipeline. ILI devices can be fitted with a number of sensors allowing various measurement parameters to be obtained simultaneously. Not all pipelines are suited to ILI for reasons such as small diameter, obstructions within the pipe, or insufficient access to deploy or retrieve the ILI tools. These pipelines are sometimes referred to as 'difficult to inspect'. Alternative methods for examining pipeline condition are required with a range of technologies collectively known as Large Standoff Magnetometry (LSM) offering a promising solution for detection of pipe defects from a distance, reducing the need for excavation. LSM utilises coupling between defects and changes in the magnetic properties of the pipeline material as a method for evaluation of pipe walls to identify the location of areas that require repair or further monitoring. Trials of existing commercial instruments by the pipeline industry have shown sufficient promise to investigate these technologies further. However, the vendors have supplied limited information on the underpinning physics of both the materials being tested and the instrument technology, meaning that further study is required in order to build confidence in the technique. The purpose of the project is to establish the ability of LSM to detect corrosion in API 5L pipe grades B to X70. The aim of Work Package 04 is to measure the magnetic fields of a range of pipe samples containing manufactured corrosion flaws taking into account variables such as standoff distance, pressure, nearby ferromagnetic objects, position of the corrosion flaw around the pipe, track alignment, and orientation with respect to Earth's magnetic field. The results of these measurements will be used to validate computational models, which can be used to predict the magnetic response of a wider range of pipe geometries.
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Harris, Virginia, Gerald C. Nelson, and Steven Stone. Spatial Econometric Analysis and Project Evaluation: Modeling Land Use Change in the Darién. Inter-American Development Bank, 1999. http://dx.doi.org/10.18235/0008801.

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The Program for the Sustainable Development of Darién Province in Panama is a $70 million operation approved in 1998 and a major component of the program involves the resurfacing of the Pan American highway, which runs roughly north south through the province to a point about 70 kilometers from the Colombian border. The paper illustrates the use of spatial analysis techniques to predict the land use changes that would occur after the road is resurfaced and other project interventions completed. The predictions are based on a spatial econometric model relating categories of land use to geophysical and socioeconomic variables, including transportation costs and distance from markets. The results of this model are used to predict the spatially explicit effects of road resurfacing on economic activities. The methods explored in this paper offer a promising way to combine behavioral models of human activity with geographic information to realistically assess the prospective land use changes induced by development projects.
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