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Jörgen Eimecke, Katrin Baumert and Daniel Baier

, Proceedings of the 14th QMOD Conference on Quality and Service Sciences, pp. 225–231, San Sebastian, Spain, 2011. [10] Armstrong J.S., The Seer-Sucker Theory: The Value of Experts in Forecasting , Technology Review, 83, June/July, 18–24, 1980. [11] Häder M., Häder S., Recent Developments at Delphi-Method – Literature Review II [in Germany: Neuere Entwicklungen bei der Delphi-Methode – Literaturbericht II ], Arbeitsbericht 98/05, Mannheim: ZUMA, 1998. [12] Cuhls K., Technology Foresight in Japan: A Review of 30 Years Delphi Surveys [in Germany

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Jeff Alstott

References Cattell, R., and Parker, A. 2012. Challenges for Brain Emulation : Why is Building a Brain so Difficult ? Natural Intelligence 1(3). Deca, D. 2012. Available Tools for Whole Brain Emulation. International Journal of Machine Consciousness 04(01):67-86. Dortmans, P. J. 2005. Forecasting, backcasting, migration landscapes and strategic planning maps. Futures 37(4):273-285. Dunn, P. 2009. Why hasn’t commercial air travel gotten any faster since the 1960s? MIT Engineering

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Valentin Gerikh, Irina Kolosok, Victor Kurbatsky and Nikita Tomin

Engineering Conference, UPEC'97, Manchester, UK, September 1997 Kurbatsky V. G. Application of ANAPRO software for analysis and forecasting of state parameters and process characteristics in electric power systems/ V. G. Kurbatsky, N. V. Tomin. Proceedings of the 8 th Baikal All-Russian Conf. "Information and mathematical technologies in science and management." Part 1.-Irkutsk: SEI SB RAS, 2008.-P.91-99. Kurbatsky V. G. Software for electric power industry problems on the basis of user application macros conception / V

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Giang Thi Le, Thuan Duc Nguyen and Vinh Quoc Tran

Abstract

The land's natural resources are invaluable and a requisite for the existence and development of humans and other organisms on Earth. In recent years, under the strong impact of new directions in economic and social development, the demand for land has been increasing. The percentage of land used for residential living, transportation, irrigation and infrastructure tends to increase, while the share of agricultural land is continuously decreasing. Consequently, the allocation and efficient use of land is one of the most important concerns in order to enable sustainable development, environmental protection and ecology. Therefore, research to determine the volatility and changing trends in land use is necessary. This study uses remote sensing and GIS technology, combined with the Markov Chain to determine variation and forecast the changes in land use in the Y Yen district of the Nam Dinh province of Vietnam. This will create a basis for helping land managers grasp the situation in local land use management.

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Koert van Ittersum and Fred M. Feinberg

References Castaño, Raquel, Mita Sujan, Manish Kacker, and Harish Sujan (2009): “Preparing for the Adoption of the New Arrival”, GfK Marketing Intelligence Review, Vol. 1, No. 2 (November), 16 - 23. Hsiao, Cheng, Baohong Sun, and Vicki G. Morwitz (2002), “The Role of Stated Intentions in New Product Purchase Forecasting“, Econometric Models in Marketing, 16, 11 - 28. Morwitz, Vicki G., Joel H. Steckel, and Alok Gupta (2007) “When Do Purchase Intentions Predict Sales?” International Journal of Forecasting, 23 (3

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Vesa Kuikka, Juha-Pekka Nikkarila and Marko Suojanen

Applied Operational Research 6(1), 39-47. Carolina Castaldi, Roberto Fontana, Alessandro Nuvolari (2009). The evolution of tank technology, 1915-1945, Journal of Evolutionary Economics 19(4), 545-566. Mario Coccia (2003). An approach to the measurement of technological chance based on the intensity of innovation, Ceris working paper. Mario Coccia (2005). Technometrics: Origins, historical evolution and new directions, Technological Forecasting & Social Change 72, 944-979. Metin Dagdeviren, Serkan Yavuz

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Jamal Raiyn

References 1. Chrobok, R., Kaumann, O., Wahle, J. and Schreckenberg, M. (2004) Different methods of traffic forecast based on real data, European Journal of Operational Research, 15:558-568. 2. Lee, H., Chowdhury, K.N. and Chang, J. (2008) A New Travel Time Prediction Method for Intelligent, Transportation Systems. Springer-Verlag, Berlin, 2008. 473-483. 3. Lv, Y. and Tang, S. (2010) Real-time Highway Traffic Accident Prediction Based on the K-Nearest Neighbor Method. International Conference on Measuring Technology and Mechatronics

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Management and Production Engineering Review

The Journal of Production Engineering Committee of Polish Academy of Sciences and Polish Association for Production Management

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Journal of Official Statistics

The Journal of Statistics Sweden