Academic literature on the topic 'Measurement Program'
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Journal articles on the topic "Measurement Program"
Wang, Wenxian, Xingshu Chen, Haizhou Wang, Qi Zhang, and Cheng Wang. "Measurement and Analysis of P2P IPTV Program Resource." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/101702.
Full textLeppänen, Leena, Anna Kontu, Henna-Reetta Hannula, Heidi Sjöblom, and Jouni Pulliainen. "Sodankylä manual snow survey program." Geoscientific Instrumentation, Methods and Data Systems 5, no. 1 (May 30, 2016): 163–79. http://dx.doi.org/10.5194/gi-5-163-2016.
Full textEvnevich, Elena Lyudvigovna, and Rosa Ravilievna Fatkieva. "Measurement of program code security." SPIIRAS Proceedings 3, no. 26 (March 17, 2014): 91. http://dx.doi.org/10.15622/sp.26.7.
Full textNiessink, Frank, and Hans van Vliet. "Measurement program success factors revisited." Information and Software Technology 43, no. 10 (August 2001): 617–28. http://dx.doi.org/10.1016/s0950-5849(01)00168-9.
Full textDe Panfilis, S., B. Kitchenham, and N. Morfuni. "Experiences introducing a measurement program." Information and Software Technology 39, no. 11 (1997): 745–54. http://dx.doi.org/10.1016/s0950-5849(97)00033-5.
Full textDe Panfilis, S., B. Kitchenham, and N. Morfuni. "Experiences introducing a measurement program." Computer Standards & Interfaces 21, no. 2 (June 1999): 165–66. http://dx.doi.org/10.1016/s0920-5489(99)92177-3.
Full textAckerman, Thomas P., and Gerald M. Stokes. "The Atmospheric Radiation Measurement Program." Physics Today 56, no. 1 (January 2003): 38–44. http://dx.doi.org/10.1063/1.1554135.
Full textAnonymous. "Convective storm measurement program planned." Eos, Transactions American Geophysical Union 68, no. 25 (1987): 597. http://dx.doi.org/10.1029/eo068i025p00597-03.
Full textGood, Judith, and Paul Brna. "Program comprehension and authentic measurement:." International Journal of Human-Computer Studies 61, no. 2 (August 2004): 169–85. http://dx.doi.org/10.1016/j.ijhcs.2003.12.010.
Full textLeppänen, L., A. Kontu, H. R. Hannula, H. Sjöblom, and J. Pulliainen. "Sodankylä manual snow survey program." Geoscientific Instrumentation, Methods and Data Systems Discussions 5, no. 2 (December 10, 2015): 405–26. http://dx.doi.org/10.5194/gid-5-405-2015.
Full textDissertations / Theses on the topic "Measurement Program"
Hall, Patricia Lyn. "Evaluating Head Start Program Quality: An Objective Measurement Approach." Connect to full text in OhioLINK ETD Center, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1250350543.
Full textTypescript. "Submitted as partial fulfillment of the requirements for the Doctor of Philosophy in Foundations of Education, Research and Measurement." Bibliography: leaves 114-127.
Samaraweera, L. G. "An investigation into the measurement of program quality." Thesis, University of Southampton, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242749.
Full textGhalambor, Afrooz, and Madeleine Latifi. "Designing a Process Measurement Program as a part of Measurement & Analysis Process Area of CMMI Level 2." Thesis, Högskolan i Borås, Institutionen Ingenjörshögskolan, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-19577.
Full textHernandez, Rivera Javier. "Towards wearable stress measurement." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/101849.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 206-220).
Chronic psychological stress carries a wide array of pathophysiological risks, including cardiovascular and cerebrovascular diseases, diabetes, and immune dysregulation. An important step in managing stress, before it becomes chronic, is recognizing precisely when and where it occurs. This thesis creates and evaluates new methods to improve the measurement of stress by leveraging state-of-the-art wearable devices. The first part of the thesis systematically compares gathering self-reported stress levels with head and wrist-worn devices, and compares them to the traditional cellphone in the pocket. In particular, 15 participants were asked to carry these devices during five days of their regular work day and to self-report their emotional state several times a day with our custom experience sampling application. We found that both head and wrist-worn devices significantly outperformed the phone in terms of the amount of answered prompts and the speed to start answering. However, different factors such as interaction types, screen size, and familiarity with the devices affected users' experience and responses. The second part of the thesis develops novel methods to comfortably capture physiological signals associated with the stress response. In particular, 36 participants were asked to carry either a head-worn device, a smartwatch or a smartphone while performing different "still" body postures in a controlled laboratory study. Using the proposed methods, we demonstrated that wearable motion-sensitive sensors inside these devices can capture heart and breathing rates as accurately as FDA-cleared devices from traditional body locations. Furthermore, using the data collected from the 15 participants, we demonstrated that our methods can be opportunistically used in real-life when people are relatively "still. " In our study, for instance, the head-worn device provided accurate heart rate assessments around 20% of the work day. Finally, the third part of the thesis uses supervised learning methods to automatically infer self-reported stress levels from different types of wearable data, including physiological, contextual and behavioral signals. While there is not a one-size-fits-all solution, we found that electrodermal activity, head motion and atmospheric pressure were the more relevant signals across the 15 participants. Furthermore, we characterized many of the challenges that plague the task of real-life stress recognition.
by Javier Hernandez Rivera
Ph. D.
Berry, Michael CSE UNSW. "Assessment of software measurement." Awarded by:University of New South Wales. CSE, 2006. http://handle.unsw.edu.au/1959.4/25134.
Full textThompson, Paige D. "Differences between primary worksite health promotion program provider and program decision-maker in the measurement of success of worksite health promotion programs." Virtual Press, 1998. http://liblink.bsu.edu/uhtbin/catkey/1115424.
Full textFisher Institute for Wellness
Hunt, Daryl R. (Daryl Roscoe) 1955. "A systems approach to team performance measurement." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/9622.
Full textIncludes bibliographical references (p. 99-102).
Teams are rapidly becoming the primary work unit across business and industry. Much has been written about the advantages of teams in problem solving, decision-making, quality improvement and performing complex tasks. Likewise, the body of knowledge surrounding team development, teamwork and team dynamics has grown rapidly over the last 15 to 20 years. Many theories of team performance have been developed. However, few unified approaches to measuring team performance have been proposed. Team performance measurement (TPM) is important for several reasons: 1) team measures have a motivating and focusing influence on team processes; 2) measurement provides necessary feedback for decision-making, problem diagnosis and intervention; and 3) measurement is fundamental to team learning and continuous improvement. The premise of this thesis is that the design and deployment of effective team performance measurement strategies can best be accomplished through a systems approach. A systems approach to TPM considers the following: I) The object of the measurement, the team is a system. 2) Team performance measurement strategies must consider the elements of the system (members, sub-teams, tasks, processes and interfaces) in addition to system outputs. 3) The team operates within an organizational super-system, which imposes contextual and environmental influences on team performance. 4) Team performance measurement is itself a system, with an associated function, interrelated elements, interfaces, influences and context. This thesis suggests an architectural framework for analyzing the critical factors influencing team performance and a holistic TPM framework for developing and deploying a balanced set of team measures.
by Daryl R. Hunt.
S.M.
Gedela, Naga Venkata Praveen babu. "MEASUREMENT AND ITS HISTORICAL CONTEXT." Kent State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=kent1226037175.
Full textBenbasat, Ari Yosef 1975. "An inertial measurement unit for user interfaces." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/38451.
Full textIncludes bibliographical references (p. 131-135).
Inertial measurement components, which sense either acceleration or angular rate, are being embedded into common user interface devices more frequently as their cost continues to drop dramatically. These devices hold a number of advantages over other sensing technologies: they measure relevant parameters for human interfaces and can easily be embedded into wireless, mobile platforms. The work in this dissertation demonstrates that inertial measurement can be used to acquire rich data about human gestures, that we can derive efficient algorithms for using this data in gesture recognition, and that the concept of a parameterized atomic gesture recognition has merit. Further we show that a framework combining these three levels of description can be easily used by designers to create robust applications. A wireless six degree-of-freedom inertial measurement unit (IMU), with a cubical form factor (1.25 inches on a side) was constructed to collect the data, providing updates at 15 ms intervals. This data is analyzed for periods of activity using a windowed variance algorithm, whose thresholds can be set analytically. These segments are then examined by the gesture recognition algorithms, which are applied on an axis-by-axis basis to the data. The recognized gestures are considered atomic (i.e. cannot be decomposed) and are parameterized in terms of magnitude and duration. Given these atomic gestures, a simple scripting language is developed to allow designers to combine them into full gestures of interest. It allows matching of recognized atomic gestures to prototypes based on their type, parameters and time of occurrence. Because our goal is to eventually create stand-alone devices,the algorithms designed for this framework have both low algorithmic complexity and low latency, at the price of a small loss in generality. To demonstrate this system, the gesture recognition portion of (void*): A Cast of Characters, an installation which used a pair of hand-held IMUs to capture gestural inputs, was implemented using this framework. This version ran much faster than the original version (based on Hidden Markov Models), used less processing power, and performed at least as well.
by Ari Yosef Benbasat.
S.M.
Post, E. Rehmi 1966. "Inertial measurement via dynamics of trapped particles." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/29991.
Full textIncludes bibliographical references (leaves 69-70).
We describe theoretical and practical aspects of the particle trap as an inertial sensor. The insight motivating this approach is that a trapped particle acts like a mass on a spring, but the restoring forces are provided by electrostatic fields. Exquisitely machined physical mechanisms can be replaced by carefully tuned mechanical physics. Such inertial sensors could be simpler to build yet exhibit superior performance because their operating parameters can be dynamically controlled. Most currently available inertial sensors are inherently planar devices that obtain no more than two degrees of motional sensitivity from a given proof mass. The availability of an accurate, inexpensive, integrated six-degree-of-freedom inertial sensor would enable new applications of inertial sensing that are presently either infeasible or unconsidered. By adding inertial terms to the Paul trap dynamics we derive classical observables that depend on the local acceleration field. We also confirm that these observables appear in practice, in what we believe to be the first electrodynamic particle trap accelerometer. An important (and unusual) aspect of our accelerometer is its dynamic tunability: its effective spring constant depends on the trap drive parameters. Our roughly constructed trap also exhibits a large region of linear response to acceleration, and we present evidence suggesting that our accelerometer has performance comparable to commercially available sensors.
by Ernest Rehmatulla Post.
Ph.D.
Books on the topic "Measurement Program"
C, Roberts James. Shell Oil's measurement program. Atlanta, GA: Information Management Forum, 1995.
Find full textHall, David F. Spacecraft contamination flight measurement program. New York, N. Y: American Institute of Aeronautics and Astronautics, 1987.
Find full textMaking software measurement work: Building an effective measurement program. Boston: QED Pub. Group, 1993.
Find full textCanada. Office of the Comptroller General. Program evaluation methods: Measurement and attribution of program results. Ottawa, Ont: Treasury Board of Canada, 1991.
Find full textTruck & Bus Meeting & Exposition (1986 King of Prussia, Pa.). DOT/SAE truck & bus fuel economy measurement program. Warrendale, PA: Society of Automotive Engineers, 1986.
Find full textL, Hawthorn Laura R., ed. Program evaluation & performance measurement: An introduction to practice. Thousand Oaks: SAGE Publications, 2006.
Find full textLazarus, David. MEASURE: A program for morphometric measurements. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1986.
Find full textGrady, Robert B. Software metrics: Establishing a company-wide program. Englewood Cliffs, N.J: Prentice-Hall, 1987.
Find full textHallock, David. A water quality index for Ecology's stream monitoring program. [Olympia, Wash.]: The Department of Ecology, 2002.
Find full textJoint Winter Runway Friction Measurement Program. Overview of the Joint Winter Runway Friction Measurement Program. [Montréal]: Transportation Development Centre, 2004.
Find full textBook chapters on the topic "Measurement Program"
Staron, Miroslaw, and Wilhelm Meding. "Measurement Program." In Software Development Measurement Programs, 47–82. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91836-5_3.
Full textEbert, Christof, and Reiner Dumke. "Introducing a Measurement Program." In Software Measurement, 109–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71649-5_6.
Full textPoister, Theodore H. "Performance Measurement." In Handbook of Practical Program Evaluation, 108–36. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119171386.ch5.
Full textNance, Richard E., and James D. Arthur. "An OPA Measurement Program." In Practitioner Series, 27–36. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0117-8_3.
Full textGhirardi, GianCarlo. "The Dynamical Reduction Program." In Quantum Chaos — Quantum Measurement, 305–23. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-015-7979-7_26.
Full textAlseraihy, Amal, Waleed Rasheed, and Mahmoud Aljurf. "Performance Measurement." In Quality Management and Accreditation in Hematopoietic Stem Cell Transplantation and Cellular Therapy, 69–82. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64492-5_9.
Full textBrozena, J. M., M. F. Peters, and R. Salman. "Arctic Airborne Gravity Measurement Program." In International Association of Geodesy Symposia, 131–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-662-03482-8_20.
Full textSvětlovská, E., A. Krechňáková, and M. Oravcová. "A Program System for Computer-Aided Drug Dosage." In Advances in Biomedical Measurement, 387–90. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-1025-9_44.
Full textTerzic, Jenny, Edin Terzic, Romesh Nagarajah, and Muhammad Alamgir. "Methodology and Experimental Program." In Ultrasonic Fluid Quantity Measurement in Dynamic Vehicular Applications, 53–64. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00633-8_4.
Full textNkwake, Apollo M. "Validity in Performance Measurement." In Credibility, Validity, and Assumptions in Program Evaluation Methodology, 123–35. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19021-1_8.
Full textConference papers on the topic "Measurement Program"
"Technical program committee." In 2016 87th ARFTG Microwave Measurement Conference (ARFTG). IEEE, 2016. http://dx.doi.org/10.1109/arftg.2016.7501938.
Full text"Program Committee." In 2016 Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement (IWSM-MENSURA). IEEE, 2016. http://dx.doi.org/10.1109/iwsm-mensura.2016.010.
Full text"Program Committee." In 2014 Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement (IWSM-MENSURA). IEEE, 2014. http://dx.doi.org/10.1109/iwsm.mensura.2014.60.
Full textHALL, DAVID. "Spacecraft contamination flight measurement program." In 22nd Thermophysics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1987. http://dx.doi.org/10.2514/6.1987-1624.
Full textBowes, David, Tracy Hall, and Andrew Kerr. "Program slicing-based cohesion measurement." In Proceeding of the 2nd international workshop. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1985374.1985392.
Full textBossler, J., J. Hayes, T. Pyle, and J. Diamante. "Global Sea Level Measurement Program." In OCEANS '86. IEEE, 1986. http://dx.doi.org/10.1109/oceans.1986.1160322.
Full textSpelt, Bart, Herman Peters, Ivo Wenneker, Magiel Hansen, Andre Jansen, Hans Miedema, Peter Verburgh, et al. "The SBW field measurement program." In Hydro12 - Taking care of the sea. Hydrographic Society Benelux, 2012. http://dx.doi.org/10.3990/2.273.
Full text"Program Committee." In 2011 Joint Conf of 21st Int'l Workshop on Software Measurement and the 6th Int'l Conference on Software Process and Product Measurement (IWSM-MENSURA). IEEE, 2011. http://dx.doi.org/10.1109/iwsm-mensura.2011.7.
Full text"Program Committee." In 2013 Joint Conference of the 23nd International Workshop on Software Measurement and the 8th International Conference on Software Process and Product Measurement (IWSM-MENSURA). IEEE, 2013. http://dx.doi.org/10.1109/iwsm-mensura.2013.9.
Full text"IMTC 2007 Technical Program Committee." In 2007 IEEE Instrumentation & Measurement Technology Conference. IEEE, 2007. http://dx.doi.org/10.1109/imtc.2007.379301.
Full textReports on the topic "Measurement Program"
Browne, Michael, and Brent McGinniss. Holdup Measurement Program Management. Office of Scientific and Technical Information (OSTI), October 2020. http://dx.doi.org/10.2172/1671068.
Full textPettit, R. B. Process measurement assurance program. Office of Scientific and Technical Information (OSTI), May 1996. http://dx.doi.org/10.2172/263007.
Full textMuckenthaler, F. J., R. R. Spencer, H. T. Hunter, J. L. Hull, and A. Shono. Measurements for the JASPER Program Axial Shield Re-measurement Experiment. Office of Scientific and Technical Information (OSTI), March 1993. http://dx.doi.org/10.2172/432822.
Full textAuthor, Not Given. Atmospheric Radiation Measurement Program plan. Office of Scientific and Technical Information (OSTI), February 1990. http://dx.doi.org/10.2172/7004554.
Full textDuewer, David L., Margaret C. Kline, William A. MacCrehan, Willie E. May, Robert C. Paule, Reenie Parris, Robert Schaffer, and Jeanice B. Thomas. NIST micronutrients measurement quality assurance program:. Gaithersburg, MD: National Institute of Standards and Technology, February 2019. http://dx.doi.org/10.6028/nist.ir.7880-39.
Full textClancy, John, and Joseph Len. Bistatic Clutter Measurement Program. Phase 3. Fort Belvoir, VA: Defense Technical Information Center, September 1995. http://dx.doi.org/10.21236/ada299457.
Full textBoynton, Paul A. NIST Measurement Assurance Program for Resistance. Gaithersburg, MD: National Bureau of Standards, 1997. http://dx.doi.org/10.6028/nist.tn.1424.
Full textWade, Mark D., and Tom Gerstle. PT6A-68 Emissions Measurement Program Summary. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada412301.
Full textBoyce, Lisa A., and R. B. Gould. Task Difficutly Measurement by the United States Air Force Occupational Measurement Program. Fort Belvoir, VA: Defense Technical Information Center, September 1999. http://dx.doi.org/10.21236/ada370602.
Full textRozum, Jim. Software Measurement Concepts for Acquisition Program Managers. Fort Belvoir, VA: Defense Technical Information Center, May 1992. http://dx.doi.org/10.21236/ada254177.
Full text