Academic literature on the topic 'Direction-driven'
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Journal articles on the topic "Direction-driven":
Zhang, Yifan, Cheng Peng, Bin Cui, Zhengfei Wang, Xibin Pang, Renmin Ma, Feng Liu, Yanke Che, and Jincai Zhao. "Direction-Controlled Light-Driven Movement of Microribbons." Advanced Materials 28, no. 38 (August 15, 2016): 8538–45. http://dx.doi.org/10.1002/adma.201602411.
Kiran, Raj, Anuruddh Kumar, Rajeev Kumar, and Rahul Vaish. "Poling direction driven large enhancement in piezoelectric performance." Scripta Materialia 151 (July 2018): 76–81. http://dx.doi.org/10.1016/j.scriptamat.2018.03.029.
Janzen, D., and H. Saiedian. "Test-driven development concepts, taxonomy, and future direction." Computer 38, no. 9 (September 2005): 43–50. http://dx.doi.org/10.1109/mc.2005.314.
Hinata, Hirofumi, Nobuyoshi Kanatsu, and Satoshi Fujii. "Dependence of Wind-Driven Current on Wind Stress Direction in a Small Semienclosed, Homogeneous Rotating Basin." Journal of Physical Oceanography 40, no. 7 (July 1, 2010): 1488–500. http://dx.doi.org/10.1175/2010jpo4363.1.
MISAKA, Takashi, and Shigeru OBAYASHI. "New Direction of Engineering Simulation Driven by Data Assimilation." Proceedings of Mechanical Engineering Congress, Japan 2017 (2017): F011004. http://dx.doi.org/10.1299/jsmemecj.2017.f011004.
Clarke, Brendan P., Kevin F. MacDonald, and Nikolay I. Zheludev. "Direction-division multiplexed holographic free-electron-driven light sources." Applied Physics Letters 112, no. 2 (January 8, 2018): 021109. http://dx.doi.org/10.1063/1.5008985.
Davies, Gareth R., and Ian Roberts. "Is road safety being driven in the wrong direction?" International Journal of Epidemiology 43, no. 5 (May 6, 2014): 1615–23. http://dx.doi.org/10.1093/ije/dyu103.
Jeong, Jinwon, Sangkug Chung, Jeong-Bong Lee, and Daeyoung Kim. "Electric Field-Driven Liquid Metal Droplet Generation and Direction Manipulation." Micromachines 12, no. 9 (September 20, 2021): 1131. http://dx.doi.org/10.3390/mi12091131.
Milton, Stewart Murray. "Changing Strategic Direction: Practical Insights into Opportunity Driven Business Development." Long Range Planning 33, no. 5 (October 2000): 733–34. http://dx.doi.org/10.1016/s0024-6301(00)00067-4.
Ruangsupapichat, Nopporn, Michael M. Pollard, Syuzanna R. Harutyunyan, and Ben L. Feringa. "Reversing the direction in a light-driven rotary molecular motor." Nature Chemistry 3, no. 1 (October 31, 2010): 53–60. http://dx.doi.org/10.1038/nchem.872.
Dissertations / Theses on the topic "Direction-driven":
Pas, Maciej Waldemar. "Stimulus-driven changes in the direction of neural priming during visual word recognition." Kyoto University, 2017. http://hdl.handle.net/2433/227587.
Reichinger, Melanie [Verfasser]. "Investigations of the direction-driven water and ion transport along the interfaces and through polymer networks / Melanie Reichinger." Paderborn : Universitätsbibliothek, 2018. http://d-nb.info/1153824604/34.
Jin, Nan. "ModSETS : a model-driven stereo eye tracking system : application in the medical field." Electronic Thesis or Diss., Aix-Marseille, 2020. http://www.theses.fr/2020AIXM0339.
Most current eye tracking systems only provide accurate and real-time analysis of 2D (horizontal and vertical) eye movement in laboratory conditions. It is usually insufficient for medical applications, because their robustness is often challenged in practice and the measurement of eye torsion is almost ignored. This increases the difficulty of data interpretation and may thus affect the quality of medical diagnosis. A Model-driven Stereo Eye Tracking System (ModSETS) is proposed in this Ph.D. thesis, to provide accurate, robust, and real-time analysis of 3D (horizontal, vertical and torsional) eye movement for medical applications. The performance of ModSETS in 2D eye movement tracking is proved through a gaze test. It showed a good accuracy (i.e., of about 1°) in gaze estimation that is compliant with the requirements of many medical applications. The robustness of ModSETS in practical conditions is also confirmed, which is reflected by a high success rate in pupil segmentation (i.e., 91.4%). Some encouraging results of eye torsion measurement were obtained, even though it is difficult to make a quantitative assessment with current hardware. Therefore, the principle of ModSETS (Model-driven Stereo Eye Tracking System) is validated and shows great potential in 3D eye movement tracking for medical applications
Al-Sader, Mohamed. "Gaze-driven interaction in video games." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-156718.
Karlsson, Fredrik, and Erik Vall. "The internal conflict of the corporate artist : Balance between artistic - and commercial interests within artistically driven fashion brands." Thesis, Högskolan i Borås, Institutionen Textilhögskolan, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-16796.
Program: Master in Fashion Management with specialisation in Fashion Marketing and Retailing
Daou, Andrea. "Real-time Indoor Localization with Embedded Computer Vision and Deep Learning." Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMR002.
The need to determine the location of individuals or objects in indoor environments has become an essential requirement. The Global Navigation Satellite System, a predominant outdoor localization solution, encounters limitations when applied indoors due to signal reflections and attenuation caused by obstacles. To address this, various indoor localization solutions have been explored. Wireless-based indoor localization methods exploit wireless signals to determine a device's indoor location. However, signal interference, often caused by physical obstructions, reflections, and competing devices, can lead to inaccuracies in location estimation. Additionally, these methods require access points deployment, incurring associated costs and maintenance efforts. An alternative approach is dead reckoning, which estimates a user's movement using a device's inertial sensors. However, this method faces challenges related to sensor accuracy, user characteristics, and temporal drift. Other indoor localization techniques exploit magnetic fields generated by the Earth and metal structures. These techniques depend on the used devices and sensors as well as the user's surroundings.The goal of this thesis is to provide an indoor localization system designed for professionals, such as firefighters, police officers, and lone workers, who require precise and robust positioning solutions in challenging indoor environments. In this thesis, we propose a vision-based indoor localization system that leverages recent advances in computer vision to determine the location of a person within indoor spaces. We develop a room-level indoor localization system based on Deep Learning (DL) and built-in smartphone sensors combining visual information with smartphone magnetic heading. To achieve localization, the user captures an image of the indoor surroundings using a smartphone, equipped with a camera, an accelerometer, and a magnetometer. The captured image is then processed using our proposed multiple direction-driven Convolutional Neural Networks to accurately predict the specific indoor room. The proposed system requires minimal infrastructure and provides accurate localization. In addition, we highlight the importance of ongoing maintenance of the vision-based indoor localization system. This system necessitates regular maintenance to adapt to changing indoor environments, particularly when new rooms have to be integrated into the existing localization framework. Class-Incremental Learning (Class-IL) is a computer vision approach that allows deep neural networks to incorporate new classes over time without forgetting the knowledge previously learned. In the context of vision-based indoor localization, this concept must be applied to accommodate new rooms. The selection of representative samples is essential to control memory limits, avoid forgetting, and retain knowledge from previous classes. We develop a coherence-based sample selection method for Class-IL, bringing forward the advantages of the coherence measure to a DL framework. The relevance of the methodology and algorithmic contributions of this thesis is rigorously tested and validated through comprehensive experimentation and evaluations on real datasets
Chen, Jhao-Wei, and 陳昭瑋. "Influence of Wind Direction on the Wind-driven Natural Ventilation." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/61489626831155361440.
國立中央大學
土木工程研究所
99
This study used wind tunnel experiments and tracer gas technique to investigate the influence of wind direction and internal obstacle on the wind-driven ventilation rate of a single-zone building and building with corridor. In addition, external turbulence intensity and the door effect was also examined in this study. The results demonstrate that the maximum ventilation rate occurs at wind direction equals to 45o for building with single-sided opening. It is because the fresh air is easier to enter the building opening when there is an oblique angle between the opening façade and wind direction. This study also found that the ambient turbulence can enhance the shear-induced ventilation rate when the wind direction is parallel to the opening. In addition, the experimental results reveal that the cross-ventilation decreased as the blockage ratio of internal obstacles increased, or the distance between the obstacle and opening decreased. The ventilation rate and resistance factor can be predicted by the resistance model from Chu and Wang (2010). Finally, the results of fan technique display that the discharge coefficient is a function of the door angle, but is independent of the Reynolds number. The concentration variation in the corridor can be predicted by a continuous ventilation model.
Byrne, Sebastian. "Embodying character : psychological and bodily performance and the cinematic construction of the character in goal-driven narrative cinema." Thesis, 2011. http://handle.uws.edu.au:8081/1959.7/509768.
Books on the topic "Direction-driven":
Skat-Rørdam, Peter. Changing strategic direction: Practical insights into opportunity driven business development. [Copenhagen]: Copenhagen Business School Press, 1999.
Pascarella, Perry. The purpose-driven organization: Unleashing the power of direction and commitment. San Francisco: Jossey-Bass Publishers, 1989.
Institute for Computer Applications in Science and Engineering., ed. Illustrating surface shape in volume data via principal direction-driven 3D line integral convolution. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1997.
Reimers, Cathy L. ADHD in the young child driven to re-direction: [a guide for parents and teachers of young children with ADHD] : a book for parents and teachers. Plantation, Fla: Specialty Press, 1999.
Hussey, D. E. Business driven human resource management. Chichester [England]: John Wiley & Sons, 1996.
McManus, John H. Market-driven journalism: Let the citizen beware? Thousand Oaks, Calif: Sage Publications, 1994.
Skat-Rordam, Peter. Changing Strategic Direction: Practical Insights Into Opportunity Driven Business Development. Copenhagen Business School Press, 1999.
Hemmelgarn, Anthony L., and Charles Glisson. Mission-driven versus Rule-driven Human Service Organizations. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190455286.003.0009.
Galab, S., and M. Gopinath Reddy. Policy Impact: Evidence from Andhra Pradesh and Telangana. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199474417.003.0010.
Macpherson, Fiona, ed. Sensory Substitution and Augmentation. British Academy, 2018. http://dx.doi.org/10.5871/bacad/9780197266441.001.0001.
Book chapters on the topic "Direction-driven":
Marti, Kurt. "Success/Failure-Driven Random Direction Procedures." In International Series in Operations Research & Management Science, 279–325. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55662-4_16.
LeGros, Victoria M., and Paula S. Topolosky. "DuPont: Business Driven Action Learning to Shift Company Direction." In Business Driven Action Learning, 29–41. London: Palgrave Macmillan UK, 2000. http://dx.doi.org/10.1057/9780230285866_3.
Williams, Christopher. "‘Context A’ –Headquarters-driven Venturing: A Strategic Direction for Internal Capabilities." In Venturing in International Firms, 23–38. 1 Edition. | New York: Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781315189000-2.
Hussain, Irfan, and Atowar Ul Islam. "Research Direction Toward IoT-Based Machine Learning-Driven Health Monitoring Systems: A Survey." In Computational Vision and Bio-Inspired Computing, 541–55. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9819-5_39.
E, Yongchao. "Analysis on the development direction of international economy and trade driven by cultural industry." In Proceedings of the 2022 4th International Conference on Economic Management and Cultural Industry (ICEMCI 2022), 1740–44. Dordrecht: Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-098-5_196.
Glas, René. "Making Mario." In Paratextualizing Games, 131–62. Bielefeld, Germany: transcript Verlag, 2021. http://dx.doi.org/10.14361/9783839454213-006.
Dalai, Banamali, and Manas Kumar Laha. "Numerical Solution of Steady Incompressible Flow in a Lid-Driven Cavity Using Alternating Direction Implicit Method." In Recent Advances in Theoretical, Applied, Computational and Experimental Mechanics, 353–64. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1189-9_28.
Liu, Fuyuan, Min Chen, Lizhe Wang, Zhouyi Xiang, and Songhua Huang. "Lightweight and Customized Design via Conformal Parametric Lattice Driven by Stress Fields." In Computational Design and Robotic Fabrication, 139–49. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8405-3_12.
Sousa, Cristina, Margarida Fontes, and Oscarina Conceição. "Blue Economy as a Policy-Driven Innovation System: Research Funding and the Direction of Ocean-Related Innovation." In Communications in Computer and Information Science, 101–24. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60080-8_6.
Chitez, Madalina, and Andreea Dinca. "On Corpora and Writing." In Digital Writing Technologies in Higher Education, 385–403. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-36033-6_24.
Conference papers on the topic "Direction-driven":
Munteanu, Adrian, Oana Maria Surdu, Jan Cornelis, and Peter Schelkens. "Segmentation-Driven Direction-Adaptive Discrete Wavelet Transform." In 2007 IEEE International Conference on Image Processing. IEEE, 2007. http://dx.doi.org/10.1109/icip.2007.4378985.
Shim, Vui Ann, Bo Tian, Miaolong Yuan, Huajin Tang, and Haizhou Li. "Direction-driven navigation using cognitive map for mobile robots." In 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014). IEEE, 2014. http://dx.doi.org/10.1109/iros.2014.6942923.
Evirgen, Noyan, and Xiang 'Anthony Chen. "GANravel: User-Driven Direction Disentanglement in Generative Adversarial Networks." In CHI '23: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3544548.3581226.
Evirgen, Noyan, and Xiang 'Anthony' Chen. "GANzilla: User-Driven Direction Discovery in Generative Adversarial Networks." In UIST '22: The 35th Annual ACM Symposium on User Interface Software and Technology. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3526113.3545638.
Zheng, Yongyong, Dexu Geng, Xiaomin Liu, Yunwei Zhao, and Hongbo Liu. "Experimental Study on Double Driven Single Direction Bending Flexible Joint." In 2015 2nd International Forum on Electrical Engineering and Automation (IFEEA 2015). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/ifeea-15.2016.74.
Hao Guo, Zhipeng Gao, Heng Zhang, Zhili Guan, Xingyu Chen, and Xuesong Qiu. "A hotspot attraction driven user mobility model and direction deciding algorithm." In 2010 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2010. http://dx.doi.org/10.1109/iscc.2010.5546726.
Zhang, Xin, Zhi-Hui Zhan, and Jun Zhang. "Multiobjective direction driven local search for constrained supply chain configuration problem." In GECCO '20: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3377929.3389929.
Aji, Galih Mustiko, and Achmad Munir. "Automatic direction system for outdoor WLAN antenna array driven by AT89S51 microcontroller." In 2017 International Electrical Engineering Congress (iEECON). IEEE, 2017. http://dx.doi.org/10.1109/ieecon.2017.8075904.
Kim, Dong Jun, and Wanwan Li. "A View Direction-Driven Approach for Automatic Room Mapping in Mixed Reality." In IPMV2023: 2023 5th International Conference on Image Processing and Machine Vision. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3582177.3582183.
Pham, Van Anh, Tan Tien Nguyen, and Tuong Quan Vo. "Turning motion direction of fish robot driven by non-uniform flexible pectoral fins." In 2018 2nd International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom). IEEE, 2018. http://dx.doi.org/10.1109/sigtelcom.2018.8325800.
Reports on the topic "Direction-driven":
Mohammadian, Abolfazl, Amir Bahador Parsa, Homa Taghipour, Amir Davatgari, and Motahare Mohammadi. Best Practice Operation of Reversible Express Lanes for the Kennedy Expressway. Illinois Center for Transportation, September 2021. http://dx.doi.org/10.36501/0197-9191/21-033.
Meidani, Hadi, and Amir Kazemi. Data-Driven Computational Fluid Dynamics Model for Predicting Drag Forces on Truck Platoons. Illinois Center for Transportation, November 2021. http://dx.doi.org/10.36501/0197-9191/21-036.
Tyson, Paul. Orchestrated Irrationality: Why It Exists and How It Might Be Resisted. Mέta | Centre for Postcapitalist Civilisation, May 2022. http://dx.doi.org/10.55405/mwp13en.
Salgado, Edgar, and Oscar A. Mitnik. Spatial and Time Spillovers of Driving Restrictions: Causal Evidence from Limas Pico y Placa Policy. Inter-American Development Bank, December 2021. http://dx.doi.org/10.18235/0003849.
Brown, Dustin, Jitinder Kohli, and Samantha Mignotte. TOOLS AT THE CENTRE OF GOVERNMENT:RESEARCH AND PRACTITIONERS' INSIGHTS. People in Government Lab, September 2021. http://dx.doi.org/10.35489/bsg-peoplegov-ri_2021/002.
Menéses-González, María Fernanda, Angélica María Lizarazo-Cuéllar, Diego Cuesta-Mora, and Daniel Esteban Osorio-Ramírez. Financial Development and Monetary Policy Transmission. Banco de la República Colombia, November 2022. http://dx.doi.org/10.32468/be.1219.
Ryu, Kirak, and Hanna Moon. Skills for Work: Knowledge Sharing Forum on Development Experiences: Comparative Experiences of Korea and Latin America and the Caribbean. Inter-American Development Bank, June 2015. http://dx.doi.org/10.18235/0007000.
Pstuty, Norbert, Mark Duffy, Dennis Skidds, Tanya Silveira, Andrea Habeck, Katherine Ames, and Glenn Liu. Northeast Coastal and Barrier Network Geomorphological Monitoring Protocol: Part I—Ocean Shoreline Position, Version 2. National Park Service, June 2022. http://dx.doi.org/10.36967/2293713.
Empathy Driven Funding: New Frontier of Financing Small Businesses. Inter-American Development Bank, April 2017. http://dx.doi.org/10.18235/0006481.