Relevant bibliographies by topics / Aero Mobil

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Aero Mobil'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Aero Mobil"

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Setyaji, Eric. "RANCANG BANGUN MOBIL AERO ANTI GRAVITASI BERBASIS MIKROKONTROLLER DSPIC30F." eLEKTRIKA 9, no. 1 (2018): 1. http://dx.doi.org/10.26623/elektrika.v9i1.1106.

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<p>The car continues to develop the technology for the sake of convenience for the user to get a car. Currently the cars already provide many services, including : features - features, the fuelefficient, environmentally friendly, and safety while driving. But comfort when driving on the road is still not perceived as bottlenecks that often occur. Cars are often stuck in traffic will experience a diecasting machine, because the machine lights up constantly - constantly in a state of standstill. Researchers of this problem offers solutions in the field of transport. Researchers create “Des
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Fakhruddin, Muhammad, Hangga Wicaksono, Fauzan Baananto, et al. "OPTIMASI AERODINAMIKA BODI MOBIL HEMAT ENERGI KEN DEDES ELECTRIC EVO 3 MENGGUNAKAN METODE COMPUTATIONAL FLUID DYNAMICS (CFD)." Eksergi 17, no. 1 (2021): 36. http://dx.doi.org/10.32497/eksergi.v17i1.2219.

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Aerodynamics is a branch of science that discusses the movement of an object in the air. Aerodynamics comes from the words aero = air and dynamics = force of motion. The study of air forces is a branch of fluid mechanics. This study is a continuation of the study of hydrodynamics, where the science of the motion of air has a close relationship with other sciences. Physics, mathematics, mechanics, meteorology and others are branches of science that are closely related to aerodynamics. Where in the science of aerodynamics, it discusses the principle of stationary air, specifically about the chan
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Ismail, Norisza Dalila. "Students Perception to Aero Intel Mobile Application in Learning Aircraft Airframe." Journal of Engineering and Science Research 2, no. 5 (2018): 38–43. http://dx.doi.org/10.26666/rmp.jesr.2018.5.7.

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Aero Intel mobile application (mobile app) is an interactive learning application which is specific to aircraft airframe providing information to help aircraft maintenance engineering students. The objective for this study is to investigate students’ perceptions towards Aero Intel mobile app. Quantitative study using questionnaires have involved 78 respondents of semester 1 students of Diploma Engineering of Aircraft Maintenance from Politeknik Banting Selangor. The questionnaires constructed about ownership of smartphone, frequency use of type of apps, are they interested to download educatio
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Hessert, Roland, Wilhelm Satzger, Alfried Haase, and Achim Schafmeister. "A New Type of X-Ray Diffractometer with Cooperating Robots for Residual Stress Analysis on Large Components." Materials Science Forum 524-525 (September 2006): 749–54. http://dx.doi.org/10.4028/www.scientific.net/msf.524-525.749.

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For industrial applications concerning the nondestructive characterization of the nearsurface material condition in terms of residual stresses, work hardening, phase transformation and formation of reaction compounds there is a strong demand for X-ray diffraction measurements on large components with complex geometry. Because many regions of interest on these components are not accessible with conventional laboratory or even mobile X-ray diffractometers, a novel center- free diffractometer with two cooperating robots named "Charon XRD" has been developed at MTU Aero Engines. Using a special op
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Hou, Xinyao, Hao Zeng, Lu Jia, Jingbo Peng, and Weixuan Wang. "MobGSim-YOLO: Mobile Device Terminal-Based Crack Hole Detection Model for Aero-Engine Blades." Aerospace 11, no. 8 (2024): 676. http://dx.doi.org/10.3390/aerospace11080676.

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Hole detection is an important means of crack detection for aero-engine blades, and the current technology still mainly relies on manual operation, which may cause safety hazards for visual reasons. To address this problem, this paper proposes a deep learning-based, aero-engine blade crack detection model. First, the K-means++ algorithm is used to recalculate the anchor points, which reduces the influence of the anchor frame on the accuracy; second, the backbone network of YOLOv5s is replaced with Mobilenetv3 for a lightweight design; then, the slim-neck module is embedded into the neck part,
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Mudrikah, Siti, Intan Nirmala Sari, Rifki Rahmatullah, and Rizki Estiningtyas. "Karakterisasi Bakteri Perakaran Vegetasi Kedelai, Singkong dan Rumput." Agriculture and Biological Technology 2, no. 1 (2024): 6–14. https://doi.org/10.61761/agiotech.2.1.6-14.

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Tanah merupakan faktor lingkungan yang penting, sebab selain mempunyai hubungan timbal balik dengan tanaman yang tumbuh diatasnya, tanah juga memiliki hubungan timbal balik dengan mikroba tanah yang ada di dalamnya. Isolat bakteri yang diisolasi dari sumber isolat dari tanah dengan vegetasi berbeda yaitu kedelai dengan kode isolat K1104 (1), K2106 (2), rumput dengan kode isolat R2104 (2) dan singkong dengan kode isolat S2104 (1). Hasil penelitian menunjukkan bahwa kode Isolat K1104 (1) memiliki bentuk sel coccus, Gram negatif, memiliki enzim katalase, enzim dehidrogenase, bersifat motil, oblig
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Kompenhans, Jürgen. "Industrial Applications of Image Based Measurement Techniques in Aerodynamics – Problems, Progress and Future Needs." Key Engineering Materials 437 (May 2010): 126–30. http://dx.doi.org/10.4028/www.scientific.net/kem.437.126.

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Since two decades technological progress at lasers, video techniques, optoelectronics, computers and evaluation algorithms allows to extract quantitative information from images of flows, even in complex environments. Continuous improvement of such image based measurement techniques and decreasing costs of equipment enabled many research groups to exploit these techniques for extraction of 2-dimensional or even 3-dimensional data mainly for fundamental research. Since a decade ago many image based measurement techniques have found interest in aerodynamics and are even used as a matter of routi
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Jordan, Katy. "Learners and caregivers barriers and attitudes to SMS-based mobile learning in Kenya." African Educational Research Journal 11, no. 4 (2023): 665–79. http://dx.doi.org/10.30918/aerj.114.23.088.

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The use of mobile phones has been identified as a potential way to bring the benefits of educational technology to a wider audience, including in low-connectivity settings. This is a topic that has received renewed interest recently as a result of the COVID-19 pandemic and school closures. While a number of recent studies have demonstrated good potential for mobile phones and SMS to be used to support learning, there are also questions about how equitable this medium is in practice. We conducted a telephone survey with learners (n = 122) and their caregivers (n = 124) who use M-Shule, an SMS-b
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Mohan, S., and P. Vimala. "Performance Analysis of Routing Protocol Using Trust-Based Hybrid FCRO-AEPO Optimization Techniques." WSEAS TRANSACTIONS ON COMMUNICATIONS 22 (July 20, 2023): 75–96. http://dx.doi.org/10.37394/23204.2023.22.7.

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Mobile Ad hoc Networks (MANETs) offer numerous benefits and have been used in different applications. MANETs are dynamic peer-to-peer networks that use multi-hop data transfer without the need forpre-existing infrastructure. Due to their nature, for secure communication of mobile nodes, they need unique security requirements in MANET. In this work, a Hybrid Firefly Cyclic Rider Optimization (FCRO) algorithm is proposed for Cluster Head selection, it efficiently selects the cluster head and improves the network efficiency. The Ridge Regression Classification algorithm is presented in this work
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S. Mohan, Et al. "Performance Analysis of Routing Protocol Using Trust-Based Hybrid FCRO-AEPO Optimization Techniques." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 1761–72. http://dx.doi.org/10.17762/ijritcc.v11i9.9163.

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Mobile Ad hoc Networks (MANETs) offer numerous benefits and have been used in different applications. MANETs are dynamic peer-to-peer networks that use multi-hop data transfer without the need for-existing infrastructure. Due to their nature, for secure communication of mobile nodes, they need unique security requirements in MANET. In this work, a Hybrid Firefly Cyclic Rider Optimization (FCRO) algorithm is proposed for Cluster Head (CH) selection, it efficiently selects the CH and improves the network efficiency. The Ridge Regression Classification algorithm is presented in this work to sense
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Dissertations / Theses on the topic "Aero Mobil"

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Sovenko, I. "Flying cars." Thesis, Sumy State University, 2016. http://essuir.sumdu.edu.ua/handle/123456789/45899.

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Technology touches almost every part of our life today. Every day people invent new devices and improve old machines, and nowadays technology is fast-paced. So, there is one question, that people ask themselves : how will technology shape our life in the nearest future?
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Book chapters on the topic "Aero Mobil"

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Templin, Fred L. "Asymmetric Extended Route Optimization (AERO)." In Handbook of Research on Redesigning the Future of Internet Architectures. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8371-6.ch014.

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Modern enterprise networks must accommodate mobile devices such as cell phones, tablets and laptop computers. When a mobile device moves to a new access network, it often receives a new Internet Protocol (IP) address. This can disrupt communication sessions and create challenges for locating and tracking mobile assets. The enterprise network should therefore provide each mobile device with a stable IP address or prefix that never changes, but this requires a new mobility architecture. Asymmetric Extended Route Optimization (AERO) supports mobility by modeling the enterprise network as a virtua
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Lin, Weiqiang. "Re-Assembling (Aero)mobilities: Perspectives beyond the West." In Traces of a Mobile Field. Routledge, 2017. http://dx.doi.org/10.4324/9781315201184-4.

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Hai-Jew, Shalin. "Using Artmaking Generative AIs to Support Augmented Reality Learning Designs With Adobe Aero App." In Inquiries of Pedagogical Shifts and Critical Mindsets Among Educators. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1078-6.ch006.

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The making of augmented reality for mobile learning is a complex endeavor. The visual materials needed for such builds may be time-consuming to create given technological requirements. The emergence of artmaking generative AI (GAI) tools provides opportunities for to fast-track some of the work, in all phases: the design (research, brainstorming, color palette selection, visual elements, drafting, compositing, pilot testing, and others), the development (the creation of the various elements, alpha and beta testing), and the deployment (the release of the works into production). This chapter ex
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Conference papers on the topic "Aero Mobil"

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Li, H. Y., M. X. Ma, and D. L. Cui. "Data Management of Aero Engine Turbine Design Integration System." In 2007 International Conference on Wireless Communications, Networking and Mobile Computing. IEEE, 2007. http://dx.doi.org/10.1109/wicom.2007.1512.

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Yakimenko, Oleg A., Nathan J. Slegers, Eugene A. Bourakov, et al. "Mobile system for precise aero delivery with global reach network capability." In 2009 IEEE International Conference on Control and Automation (ICCA). IEEE, 2009. http://dx.doi.org/10.1109/icca.2009.5410590.

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Suo, Shaoxuan, Ke Qiao, Liutong Qin, Changlong Zhang, Zexi Jin, and Jinxin Liu. "Aero-engine Fan Blade Detection Based on Mobile Manipulator Visual System." In 2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD). IEEE, 2022. http://dx.doi.org/10.1109/icsmd57530.2022.10058349.

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Lehner, Peter, Sebastian Brunner, Andreas Domel, et al. "Mobile manipulation for planetary exploration." In 2018 IEEE Aerospace Conference. IEEE, 2018. http://dx.doi.org/10.1109/aero.2018.8396726.

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Ivancic, William D., and David H. Stewart. "Advanced networks in motion mobile sensorweb." In 2011 IEEE Aerospace Conference. IEEE, 2011. http://dx.doi.org/10.1109/aero.2011.5747441.

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Cashbaugh, Jasmine, Sreekanth Dayanidhi, and Christopher Kitts. "Object tracking using mobile tracking stations." In 2015 IEEE Aerospace Conference. IEEE, 2015. http://dx.doi.org/10.1109/aero.2015.7118910.

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Wilcox, Brian H. "ATHLETE: An Option for Mobile Lunar Landers." In 2008 IEEE Aerospace Conference. IEEE, 2008. http://dx.doi.org/10.1109/aero.2008.4526511.

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Hanlon, Edward A. S., Morgan E. Lange, Benjamin P. Keegan, et al. "AMODS: Autonomous mobile on-orbit diagnostic system." In 2016 IEEE Aerospace Conference. IEEE, 2016. http://dx.doi.org/10.1109/aero.2016.7500512.

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Borkar, Milind, Volkan Cevher, and James H. McClellan. "A Monte-Carlo Approach for Tracking Mobile Personnel." In 2007 IEEE Aerospace Conference. IEEE, 2007. http://dx.doi.org/10.1109/aero.2007.353046.

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Ashish, Kumar, Mofeez Alam, and Sanjay Limaye. "Flight analysis of a Venus atmospheric mobile platform." In 2014 IEEE Aerospace Conference. IEEE, 2014. http://dx.doi.org/10.1109/aero.2014.6836330.

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