Academic literature on the topic 'Drive by wireless systems'
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Journal articles on the topic "Drive by wireless systems"
He, Hong, Feng Ling Zhang, and Zhi Hong Zhang. "Adjustable Multi-Light Wireless Remote Control System Designed LED Light." Applied Mechanics and Materials 543-547 (March 2014): 1250–53. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.1250.
Full textThongpull, Kittikhun, Nattha Jindapetch, and Wiklom Teerapabkajorndet. "Wireless ESD Event Locator Systems in Hard Disk Drive Manufacturing Environments." IEEE Transactions on Industrial Electronics 60, no. 11 (November 2013): 5252–59. http://dx.doi.org/10.1109/tie.2012.2227911.
Full textDyduch, Janusz, and Roman Pniewski. "Concept of measuring force adjustment of crossover drives." Transportation Overview - Przeglad Komunikacyjny 2016, no. 12 (December 1, 2016): 37–42. http://dx.doi.org/10.35117/a_eng_16_12_05.
Full textTsow, Alex, Markus Jakobsson, Liu Yang, and Susanne Wetzel. "Warkitting: The Drive-by Subversion of Wireless Home Routers." Journal of Digital Forensic Practice 1, no. 3 (September 2006): 179–92. http://dx.doi.org/10.1080/15567280600995832.
Full textGraurs, Igors, Aleksandrs Vizulis, Aivars Rubenis, and Aigars Laizāns. "Wireless energy supply to public transport units with hybrid drive – trends and challenges." Transport and Telecommunication Journal 15, no. 1 (March 1, 2014): 67–76. http://dx.doi.org/10.2478/ttj-2014-0007.
Full textZhuang, Min, Ge Li, Kexin Ding, and Guansheng Xu. "Optimized Design of Mechanical Chain Drive Based on a Wireless Sensor Network Data Algorithm." Journal of Sensors 2021 (September 13, 2021): 1–13. http://dx.doi.org/10.1155/2021/2901624.
Full textShi, Gui Lian, and Fu Li Ye. "Moving Mode of Wireless Capsule Endoscopy Driven by External Magnetic Field." Applied Mechanics and Materials 678 (October 2014): 318–21. http://dx.doi.org/10.4028/www.scientific.net/amm.678.318.
Full textZhao, Xingwen, Jiaping Lin, and Hui Li. "Privacy-Preserving Billing Scheme against Free-Riders for Wireless Charging Electric Vehicles." Mobile Information Systems 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/1325698.
Full textDevana, Mayastri, Tresna Dewi, Nyayu Latifah Husni, Pola Risma, and Yurni Oktarina. "Desain Robot Pengintai Segala Medan dengan Kendali Wireless PS2." Journal of Applied Smart Electrical Network and Systems 2, no. 2 (December 31, 2021): 64–70. http://dx.doi.org/10.52158/jasens.v2i2.210.
Full textWoods, Stephen, and Timothy Constandinou. "Engineering Micromechanical Systems for the Next Generation Wireless Capsule Endoscopy." BioMed Research International 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/741867.
Full textDissertations / Theses on the topic "Drive by wireless systems"
Xue, Xin. "Health monitoring of drive connected three-phase induction motors from wired towards wireless sensor networks /." Diss., [Riverside, Calif.] : University of California, Riverside, 2009. http://proquest.umi.com/pqdweb?index=0&did=1899497101&SrchMode=2&sid=1&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1269019645&clientId=48051.
Full textIncludes abstract. Available via ProQuest Digital Dissertations. Title from first page of PDF file (viewed March 20, 2010). Includes bibliographical references. Also issued in print.
Zhu, Xi. "High frequency CMOS integrated filters for computer hard disk drive and wireless communication systems." Thesis, University of Hertfordshire, 2008. http://hdl.handle.net/2299/2069.
Full textHuo, Xueliang. "Tongue drive: a wireless tongue-operated assistive technology for people with severe disabilities." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/45887.
Full textFamoriyo, Olusola. "THE EVALUATION OF TINYOS WITH WIRELESS SENSOR NODE OPERATING SYSTEMS." Thesis, Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-886.
Full textWireless Sensor nodes fall somewhere in between the single application devices that do
not need an operating system, and the more capable, general purpose devices with the
resources to run a traditional embedded operating system. Sensor node operating system
such as TinyOS, Contiki, MantisOS and SOS which is discussed in this paper exhibit
characteristics of both traditional embedded systems and general-purpose operating systems
providing a limited number of common services for application developers linking
software and hardware.
These common services typically include platform support, hardware management of sensors,
radios, and I/O buses and application construction etc. They also provide services
needed by applications which include task coordination, power management, adaptation
to resource constraints, and networking. The evaluation was concentrated on TinyOS
including an analysis on version 1.x and 2.x resource management and flexibility and its
operation with the other wireless sensor node operating systems.
Devarakond, Shyam Kumar. "Signature driven low cost test, diagnosis and tuning of wireless systems." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47594.
Full textSalman, A. "Reducing complexity in developing wireless sensor network systems using model-driven development." Thesis, University of Salford, 2017. http://usir.salford.ac.uk/44127/.
Full textKhan, Zeashan Hameed. "Wireless network architecture for long range teleoperation of an autonomous System." Grenoble INPG, 2010. http://www.theses.fr/2010INPG0134.
Full textNetworked teleoperation (NT) is an emerging area of technology, where human assisted Master and remote Slave devices communicate over a communication network for the exchange of command and sensor feedback information. For long range mobile teleoperation, this information travels over different types of heterogeneous/hybrid networks interconnected together with a compulsory network segment over wireless to permit increased mobility. The independent design of control and network promotes the isolated objectives and the performance is degraded after an integration. It is also challenging if internet is used for teleoperation, instead of point to point communication. The mechanisms of QoS in one network protocol of the heterogeneous network needs mapping on any other network which is usually carried out with a multimedia point of view and not for the critical teleoperation data. The approach for networked teleoperation can be given a new dimension by adding quality of service (QoS) to different flows on need based priority and as a function of control and transparence criteria. This means to alter the network resources for teleoperation objective in order to transport the information to satisfy the end-to-end application needs. The network QoS perspective is important to consider in the co-design approach for teleoperation. However, the true meaning of end to end QoS must be defined for teleoperation. If we consider the QoS from the network point of view, it refers to the management of various flows or users as per their need and precedence. Whereas, from the teleoperation perspective, QoS is related to the quality of control (QoC) which includes stability, transparence and telepresence. Moreover, the human interface may have different requirements as per telepresence feeling which will result in varying network load. To control network QoS, we need to measure or estimate it. Therefore, classification of QoS is performed with a fuzzy inference system which is able to distinguish between varying levels of QoS. In addition, it is also a challenging task for online decision for reconfiguration of network and control performance. We have used supervised methods for classification and prediction of QoS to be used in the proposed approach. Thus, data communication networks treat control information as best effort most of the time. Conclusion the communication used in teleoperation uses a dedicated network/communication. In short, a co-design approach is formulated to treat the network QoS as a function of teleoperation objectives which are related to the quality of transparence and control. Alternatively, the video flow is managed in order to effectively reduce the necessary throughput for instants when the network quality is not sufficient. We have considered two cases. First, without taking into account any network QoS mechanism (best effort flows only) and adapting application needs as per the teleoperation objectives. The second one considers a QoS oriented network in between the master and slave, where different priorities can be assigned to the teleoperation flows as per need. In the end, the proposed methodology is implemented on the NeCS-Car benchmark
Meshkova, Elena [Verfasser]. "Design and self-management of wireless networked systems with model-driven optimization / Elena Meshkova." Aachen : Hochschulbibliothek der Rheinisch-Westfälischen Technischen Hochschule Aachen, 2015. http://d-nb.info/1076067425/34.
Full textNadas, João Pedro Battistella. "Energy eficiente synchronization for alarm driven wireless sensor networks." Universidade Tecnológica Federal do Paraná, 2016. http://repositorio.utfpr.edu.br/jspui/handle/1/2309.
Full textMany applications of wireless sensor networks require that nodes, besides monitoring a given phenomenon, must be able to detect and communicate asynchronous events (e.g. alarms), implying that they have to often listen to the medium in idle mode, which is inherently energy wasteful. In such a scenario time synchronization is crucial to efficiently operate in duty-cycles and minimize energy consumption. In this work we assess the impact of the trade-off between spending energy with more frequent synchronizations and in return saving it by reducing the idle listening window necessary for the desired reliability of the communication. The optimal frequency of time synchronizations is obtained analytically and corroborated by numerical results, showing that several times less overall energy may be spent with a finer synchronization when compared with maintaining the minimum clock precision required by the phenomenon being monitored, greatly extending the life-span of the network.Furthermore, a closed form upper bound to this optimal number is derived by approximating transmit power being of much more significance when compared to receive power. Using this result, we predict and then simulate that this optimal number will be increased by the listening power, the number of times which a node has to listen to the medium idly, the level of confidence at which the system is designed to work, the synchronization interval and the variance of the relative oscillation frequency between synchronizing nodes. On the other hand, this number will be smaller when the energy cost of synchronization is higher (e.g. when active communication energy increases).
Crk, Igor. "Context-Aware Resource Management." Diss., The University of Arizona, 2010. http://hdl.handle.net/10150/195573.
Full textBooks on the topic "Drive by wireless systems"
Du, K. L. Wireless communication systems. Cambridge: Cambridge University Press, 2010.
Find full textS, Swamy M. N., ed. Wireless communication systems. Cambridge: Cambridge University Press, 2010.
Find full textTerré, Michel, Mylène Pischella, and Emmanuelle Vivier. Wireless Telecommunication Systems. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118625422.
Full textEngels, Marc, ed. Wireless OFDM Systems. Boston: Kluwer Academic Publishers, 2002. http://dx.doi.org/10.1007/b117438.
Full textYang, Yang, Jing Xu, Guang Shi, and Cheng-Xiang Wang. 5G Wireless Systems. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-61869-2.
Full textHorodecki, Andrzej. Selecting electromechanical drive systems. Amsterdam: Elsevier, 1991.
Find full textSimulating wireless communication systems. Upper Saddle River, N.J: Prentice Hall Professional Technical Reference, 2004.
Find full textservice), SpringerLink (Online, ed. Wireless Transceiver Systems Design. Boston, MA: Springer Science+Business Media, LLC, 2008.
Find full textBarbarossa, Sergio. Multiantenna wireless communications systems. Boston, MA: Artech House, 2005.
Find full textWireless personal communications systems. Reading, Mass: Addison-Wesley, 1997.
Find full textBook chapters on the topic "Drive by wireless systems"
Nissimagoudar, P. C., H. M. Gireesha, R. M. Shet, Nalini C. Iyer, Ajit Bijapur, and H. R. Aishwarya. "Graphene-Based Wireless Power Transmission: Charge as You Drive." In Advances in Intelligent Systems and Computing, 815–24. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8289-9_78.
Full textZhang, Chong, Zhengcong Yin, Peng Gao, and Sathya Prasad. "A Visual Analytics Approach to Exploration of Hotels in Overlaid Drive-Time Polygons of Attractions." In Web and Wireless Geographical Information Systems, 28–40. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17246-6_3.
Full textDuffield, Cameron, and Shuhei Miyashita. "Magnetic Force Driven Wireless Motor." In Towards Autonomous Robotic Systems, 409–12. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63486-5_43.
Full textQin, Junxiang, Ninghu Yang, Yuxuan Wang, Jun Yang, and Jinliang Du. "A Model-Driven Development Framework for Satellite On-Board Software." In Wireless and Satellite Systems, 324–50. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69072-4_27.
Full textPeng, Shuang, Jiangjiang Wu, Chun Du, Hao Chen, and Jun Li. "Data-Driven Approach for Satellite Onboard Observation Task Planning Based on Ensemble Learning." In Wireless and Satellite Systems, 175–84. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69072-4_15.
Full textLing, Qi, Jian Ren, and Tongtong Li. "Message-Driven Frequency Hopping — Design and Analysis." In Wireless Algorithms, Systems, and Applications, 373–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88582-5_36.
Full textFang, Zheng, Jie Wang, and Donghui Zhang. "Workload-Driven Compressed Skycube Queries in Wireless Applications." In Wireless Algorithms, Systems, and Applications, 244–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03417-6_24.
Full textLi, Tongtong, Tianlong Song, and Yuan Liang. "Message-Driven Frequency Hopping Systems." In Wireless Communications under Hostile Jamming: Security and Efficiency, 45–97. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0821-5_3.
Full textLi, Yi, Lu Zhou, Haojin Zhu, and Limin Sun. "Secure and Privacy-Preserving Location Proof in Database-Driven Cognitive Radio Networks." In Wireless Algorithms, Systems, and Applications, 345–55. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21837-3_34.
Full textAbdeldjalil, Tabouche, Fan Li, Ruiling Li, and Xin Li. "Table-Driven Bus-Based Routing Protocol for Urban Vehicular Ad Hoc Networks." In Wireless Algorithms, Systems, and Applications, 90–101. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07782-6_9.
Full textConference papers on the topic "Drive by wireless systems"
"International Symposium on Wireless Pervasive Computing 2006." In Sixth International Conference on Power Electronics and Drive Systems. IEEE, 2005. http://dx.doi.org/10.1109/peds.2005.1619642.
Full textMoradi, Adel, Farzad Tahami, and Amirreza Poorfakhraei. "Minimum weight wireless power transfer coil design." In 2016 7th Power Electronics and Drive Systems Technologies Conference (PEDSTC). IEEE, 2016. http://dx.doi.org/10.1109/pedstc.2016.7556923.
Full textMartel, Sylvain M., and Ian W. Hunter. "Piezo-drive circuits for amplitude-modulated locomoton for miniature wireless robots." In Intelligent Systems and Advanced Manufacturing, edited by Bradley J. Nelson and Jean-Marc Breguet. SPIE, 2001. http://dx.doi.org/10.1117/12.444127.
Full textJiang, Wei, Song Xu, Nailu Li, Zhengyu Lin, and Barry W. Williams. "Wireless power charger for light electric vehicles." In 2015 IEEE 11th International Conference on Power Electronics and Drive Systems. IEEE, 2015. http://dx.doi.org/10.1109/peds.2015.7203533.
Full textGordhan, Uvir, and Sampath Jayalath. "Wireless Power Transfer System for an Unmanned Aerial Vehicle." In 2021 12th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC). IEEE, 2021. http://dx.doi.org/10.1109/pedstc52094.2021.9405902.
Full textChao, Ching-Yi, Tsung-Jung Li, Chin-Wen Liao, Yi-Lin He, and Tsair-Rong Chen. "Study of contactless power supply for wireless mouse." In 2009 International Conference on Power Electronics and Drive Systems (PEDS 2009). IEEE, 2009. http://dx.doi.org/10.1109/peds.2009.5385897.
Full textSiroos, Ahmad, Mostafa Sedighizadeh, Ebrahim Afjei, and Alireza Sheikhi Fini. "Comparison of different controllers for wireless charging system in AUVs." In 2022 13th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC). IEEE, 2022. http://dx.doi.org/10.1109/pedstc53976.2022.9767377.
Full textMiyamoto, Hiroyuki, Masayuki Morimoto, and Katsuaki Morita. "On-line SOC Estimation of Battery for Wireless Tram Car." In 2007 7th International Conference on Power Electronics and Drive Systems. IEEE, 2007. http://dx.doi.org/10.1109/peds.2007.4487927.
Full textRezazade, Saman, Reza Naghash, and Seyed Ebrahim Afjei. "Wireless Power Transfer Systems: The Coupling Factor Impact on Different Compensation Topologies." In 2022 13th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC). IEEE, 2022. http://dx.doi.org/10.1109/pedstc53976.2022.9767222.
Full textRamezani, A., Sh Farhangi, H. Iman-Eini, and B. Farhangi. "High efficiency wireless power transfer system design for circular magnetic structures." In 2016 7th Power Electronics and Drive Systems Technologies Conference (PEDSTC). IEEE, 2016. http://dx.doi.org/10.1109/pedstc.2016.7556922.
Full textReports on the topic "Drive by wireless systems"
Esener, Sadik. Optical Interconnects for Smart Antenna Driver-Receiver-Switch System for Wireless Communication. Fort Belvoir, VA: Defense Technical Information Center, December 2002. http://dx.doi.org/10.21236/ada412178.
Full textYoung, William Frederick, and David Patrick Duggan. Views of wireless network systems. Office of Scientific and Technical Information (OSTI), October 2003. http://dx.doi.org/10.2172/918377.
Full textCandell, Richard. Industrial wireless systems workshop proceedings. Gaithersburg, MD: National Institute of Standards and Technology, May 2017. http://dx.doi.org/10.6028/nist.ir.8174.
Full textBurkholder, R. J., Robert J. Mariano, P. Schniter, and I. J. Gupta. EM threat analysis for wireless systems. Office of Scientific and Technical Information (OSTI), June 2006. http://dx.doi.org/10.2172/889002.
Full textSmith, William M., and Donald C. Cox. Urban Propagation Modeling for Wireless Systems. Fort Belvoir, VA: Defense Technical Information Center, January 2004. http://dx.doi.org/10.21236/ada424868.
Full textCandell, Richard, Mohamed Hany, Kang B. Lee, Yongkang Liu, Jeanne Quimby, and Kate Remley. Guide to industrial wireless systems deployments. Gaithersburg, MD: National Institute of Standards and Technology, April 2018. http://dx.doi.org/10.6028/nist.ams.300-4.
Full textCandell, Richard, Kate A. Remley, Jeanne T. Quimby, David Novotny, Alexandra Curtin, Peter B. Papazian, Mohamed Kashef, and Joseph Diener. Industrial wireless systems radio propagation measurements. Gaithersburg, MD: National Institute of Standards and Technology, January 2017. http://dx.doi.org/10.6028/nist.tn.1951.
Full textFederspiel, Clifford. Wireless Demand Response Controls for HVAC Systems. Office of Scientific and Technical Information (OSTI), June 2009. http://dx.doi.org/10.2172/973101.
Full textAuthor, Not Given. Drive Systems for Photonic Bandgap (PBG) Accelerators. Office of Scientific and Technical Information (OSTI), October 2018. http://dx.doi.org/10.2172/1484275.
Full textBaras, J., C. Berenstein, A. Ephremides, V. Gligor, R. Liu, H. Papadopoulos, N. Roussopoulos, and M. Wu. Distributed Immune Systems for Wireless Network Information Assurance. Fort Belvoir, VA: Defense Technical Information Center, April 2010. http://dx.doi.org/10.21236/ada532147.
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