Thematische Bibliographien / Wireless technology

Auswahl der wissenschaftlichen Literatur zum Thema „Wireless technology“

Autor: Grafiati
Veröffentlicht am 4. Juni 2021
Zuletzt aktualisiert am 25. Mai 2024

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Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte
  6. Berichte der Organisationen

Zeitschriftenartikel zum Thema "Wireless technology":

1

J, Harish Ragavendra. „Wireless Technology“. International Journal of Research Publication and Reviews 4, Nr. 4 (April 2023): 4034–36. http://dx.doi.org/10.55248/gengpi.4.423.36103.

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2

Atchaya, S., S. Selvanayaki und S. Deepika. „4G Wireless Technology“. International Journal of Trend in Scientific Research and Development Volume-2, Issue-2 (28.02.2018): 1643–45. http://dx.doi.org/10.31142/ijtsrd10712.

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3

Fedorenko, V. F., und V. E. Tarkivskiy. „Digital Wireless Technology to Measure Agricultural Performance“. Agricultural Machinery and Technologies 14, Nr. 1 (24.03.2020): 10–15. http://dx.doi.org/10.22314/2073-7599-2020-14-1-10-15.

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When testing agricultural machinery in order to determine its functional indicators, the ability to wirelessly transmit data between sensors, measuring and information systems are important. (Research purpose) To develop methods and create wireless digital devices for determining the functional indicators of agricultural tractors and machines with the ability to wirelessly transmit data to a remote control point in real time. (Materials and methods) The authors assumed that it was possible to determine the slipping of driving wheels using an inertial navigation system. It was found that in order to calculate real-time indicators obtained using wireless technologies, it was necessary to determine the characteristics of the input signals of discrete sensors on the side of the measuring system. (Results and discussions) The authors substantiated a method for determining the period of incoming signals of discrete sensors with an accuracy of 0.001 seconds for wireless information transmission. They proposed the design of a slipping sensor for an energy vehicle driving wheels, the main element of which is an inertial wheel position sensor. They developed a discrete signal input module and an inertial slipping sensor with the possibility of wireless data transmission based on a radio system with a carrier frequency of 433 megahertz. During field tests, it was found that the accuracy of determining slippage using the inertial wireless sensor IP-291 does not exceed 1 percent; the range of stable radio communication from the tested object to the test control center reaches 1000 meters; the current indicators obtained through digital radio communication did not differ from the indicators obtained in the tractor cab. (Conclusions) The authors worked out an effective system for wireless information transfer with the ability to calculate the performance of the tested equipment in real time.
4

Zhao, Jian Jun, Yan Bai und Ren Shu Wang. „Application of Zigbee Technology in Chemical Water Ultrafiltration System“. Advanced Materials Research 459 (Januar 2012): 343–46. http://dx.doi.org/10.4028/www.scientific.net/amr.459.343.

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Having investigated the application of industrial wireless gateway, this paper focuses on the designing of monitoring system in chemical water ultrafiltration system. This monitoring system is based on Zigbee wirelss communication technology and aims at the connecting between wireless sensor network and Profibus-Dp field bus. The design of operator station as well as hardware and software design for the valve terminal nodes and gateway are presented in detail.
5

Patkar, Ankit. „5G Wireless Technology“. International Journal for Research in Applied Science and Engineering Technology 10, Nr. 3 (31.03.2022): 1519–24. http://dx.doi.org/10.22214/ijraset.2022.40930.

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Abstract: After the up rise of 4G wireless mobile technology takes place; researchers, mobile operator industries representative, academic institutions have started to look into the advancement (technological) towards 5G communication networks due to some main demands that are meliorated data rates, better capacity, minimized latency and better QoS (Quality of Service). To established the 5G mobile communication technological foundation, various research works or projects entailing main mobile infrastructure manufacturers, academia and international mobile network operators have been introduced recently. Nevertheless, 5G mobile services to be made available for use, their architecture, and their performance have not been evidently explicated. In this paper, we represent thorough overview of 5G the next generation mobile technology. We mainly throws light on 5G network architecture, 5G radio spectrum, ultra-dense radio access networks (UDRAN), traffic offloading of mobile, cognitive radio (CR), software defined radio (SDR), software defined networking (SDN), mixed infrastructure, and 5G network impact on the society. Keywords: 5G wireless technology, evolution from 4G to 5G
6

Shinde, Mr Sangram Tanaji. „5G Wireless Technology“. International Journal for Research in Applied Science and Engineering Technology 9, Nr. VII (10.07.2021): 256–57. http://dx.doi.org/10.22214/ijraset.2021.36259.

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This 5G stands for fifth generation wireless technology. It is the latest version of cellular technology that has main features: Grater speed, lower latency, and ability to connect a lot more devices simultaneously. A commercial 5G wireless network is expected to be deployed by 2021.
7

Wicks, A. L., und J. C. Kemerling. „Wireless Technology Series“. Experimental Techniques 28, Nr. 4 (Juli 2004): 37–38. http://dx.doi.org/10.1111/j.1747-1567.2004.tb00177.x.

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8

Ghadage, Shivani, Swapnali Joshi und Shweta Thorat. „Wi-Fi Technology“. International Journal for Research in Applied Science and Engineering Technology 10, Nr. 12 (31.12.2022): 1068–69. http://dx.doi.org/10.22214/ijraset.2022.48112.

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Abstract: Technology is making rapid progress and is making many things easier. As the innovative thinking of persons is increasing day-by-day, new methods for wireless networking has been evolved of which our Wi-Fi, (Wireless Fidelity) is a trademark that belongs to the Wi-Fi Alliance. It is name commonly used for the standard of wireless (radio) connection that integrates several protocols and is based on a family of IEEE 802.11 standards (Institute of Electrical and Electronic Engineers is an international organization dedicated to the development of standards in electronic technology). The most famous and the most common today is IEEE 802.11g protocol, which determines the operation of wireless networks. Install Wireless LAN was recommended where the deployment of cable system was Wi-Fi, an acronym for Wireless-Fidelity which is the wireless way to handle networking. The main aim of this paper is wireless networking achieved by Wi-Fi. This paper introduces Wi-Fi technology and states the history of this technology in brief. We then deal with the different ways of wireless networking, connecting wi-fi and with wi-fi security. This paper concludes with the pros and cons of this technology and it’s future.
9

Wang, Yubo. „Exploring Wireless Sensing Technologies and Their Applications in the Dawn of 6G“. Highlights in Science, Engineering and Technology 68 (09.10.2023): 123–29. http://dx.doi.org/10.54097/hset.v68i.12047.

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The recent advancements in communication technology have significantly fostered the development of wireless sensing technology. This burgeoning technology has found myriad applications in various fields like smart environments and indoor security, where the delivery of real-time and accurate data is pivotal. To comprehend the role of wireless sensing technology in the context of the forthcoming 6G revolution, it's essential to first understand its fundamental principles and key technologies. The basic concept of wireless sensing is to detect and interpret specific types of data (like temperature, motion, or sound) and transmit this information wirelessly to a device or system for analysis or action. Key technologies that underpin wireless sensing include sensor technology, wireless communication technology, and data interpretation algorithms. Reviewing the existing research, wireless sensing technology has evolved dramatically, with studies focusing on enhancing the quality and accuracy of sensed data, improving the reliability of wireless communication, and developing sophisticated algorithms for data interpretation. The utilization of machine learning and artificial intelligence has been a notable trend in recent studies, enabling more effective data interpretation and decision making.
10

Shende, Ajay, und Dinesh Rojatkar. „Li-Fi Technology: A New Revolution in Wireless Technology“. International Journal of Advance Research and Innovation 5, Nr. 1 (2017): 94–96. http://dx.doi.org/10.51976/ijari.511715.

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The communication plays a very important role in our modern life. The peoples always require accurate information at any place with a very high speed internet. The peoples prefer wireless network instead of wired network for fast communication. In last few years researchers have developed some new wireless technology. Li-fi is a new wireless technology which provides better efficiency, bandwidth, availability and security with very high speed connectivity. This paper present LI-FI technology and study with other wireless communication technologies.
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Zeitschriftenartikel Dissertationen Bücher

Dissertationen zum Thema "Wireless technology":

1

FIGUEIREDO, TAMARA DE BRITTO. „WIRELESS TECHNOLOGY APPLICATION IN LOGISTIC“. PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2004. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=5387@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
As atividades logísticas sofreram grandes transformações no decorrer do século XX, evoluindo de um nível meramente operacional, passando por diferentes fases de integração, alcançando por fim, uma postura estratégica. Em sua última etapa, a Logística assumiu um enfoque mais gerencial, em meio ao qual se desenvolveu o conceito de Supply Chain Management. Tal evolução se deu em meio a importantes mudanças econômicas e sociais, as quais repercutiram na transição dos Sistemas de Produção. Os efeitos da globalização aceleraram em muito esse processo. A necessidade de flexibilidade decorrente desses efeitos impulsionou por sua vez, o desenvolvimento de sofisticadas tecnologias da informação. Nas últimas décadas, em virtude da valorização de princípios de mobilidade, observou-se uma forte tendência ao emprego de tecnologias de informação sem fio, em muitas atividades logísticas. O presente trabalho visa fazer um levantamento das principais tecnologias de transmissão de informações por rádio-freqüência, por meio das quais, pode se gerenciar o fluxo bidirecional de informações e materiais, de forma a promover maior grau de integração da cadeia logística. Uma atenção especial foi atribuída a uma mais recente tecnologia de captura de dados: o RFID (RadioFrequency Identification), por meio da qual se pode realizar operações de controle e localização de uma entidade, dentro de determinada área de abrangência. O RFID vem aos poucos conquistando mercado no quadro brasileiro, no controle de mercadorias em linha de montagem, e de acesso de veículos. Com base nos resultados de um estudo empírico realizado pelo autor, abrangendo empresas fornecedoras de produtos e serviços da rede sem fio operantes no Brasil, pôde-se analisar alguns impactos da cultura RFID no SCM.
Logistics activities suffered great transformations in the twentieth century, evolving from a mere operational level, passing through different stages of integration, and finally attaining a strategic position. In its final stage, Logistics took on a managerial approach within which the concept of Supply Chain Management was developed. This evolution took place amongst important economic and social changes which affected the Production Systems transition. The effects of globalization greatly accelerated this process. The need for flexibility as a result of these effects stimulated, in turn, the development of sophisticated information technologies. In the last decades, with the valuation of mobility principles, a growing trend towards the use of wireless information technologies was observed in many logistics activities. The present work aims at surveying the main radio frequency technologies for information transmission by means of which the bidirectional flow of information and materials can be managed in order to promote a greater degree of integration in the logistics chain. Special attention was attributed to a more recent data capture technology: RFID (Radio Frequency Identification), by means of which operations of control and tracking of an entity can be performed within a certain range. RFID has conquered the Brazilian market in such activities as assembly line merchandise control and vehicle tracking. Some impacts of RFID on the SCM could be analyzed from the results of an empirical study carried out with suppliers of wireless products and services.
2

Литвиненко, Галина Іванівна, Галина Ивановна Литвиненко, Halyna Ivanivna Lytvynenko und R. S. Volkov. „Using wireless technology: sequrity measures“. Thesis, Видавництво СумДУ, 2010. http://essuir.sumdu.edu.ua/handle/123456789/16948.

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3

Fuller, Robert, Ryan Nastase, Kaoru Elliott, Anas Salhab und Jonathan Campbell. „Wireless Power Transmission Using Microwave Technology“. International Foundation for Telemetering, 2010. http://hdl.handle.net/10150/605913.

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ITC/USA 2010 Conference Proceedings / The Forty-Sixth Annual International Telemetering Conference and Technical Exhibition / October 25-28, 2010 / Town and Country Resort & Convention Center, San Diego, California
As part of the Senior Capstone class held at the University of Arizona in the College of Engineering, the team was tasked to build a prototype that could power a simple electronic device wirelessly. The team succeeded in doing so and has proven that wireless power transmission could be a valuable tool for future use. There are a few difficulties to note and specifics will be given in the body of the report.
4

Zacot, Chimi I. „Shipboard wireless sensor networks utilizing Zigbee technology“. Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Sep%5FZacot.pdf.

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Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, September 2006.
Thesis Advisor(s): Xiaoping Yang. "September 2006." Includes bibliographical references (p. 59). Also available in print.
5

Dolz, Patrick. „Wireless sensor data transfer using bluetooth technology“. Master's thesis, University of Cape Town, 2005. http://hdl.handle.net/11427/5273.

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Bibliography: leaves 70-72.
The objective of this thesis is to design and program an application for the Linux based Axis Etrax100LX developer board using the C programming language. This application will collect sensor data (4-20mA signals as the standard analog inputs and 0-5V as the digital inputs) from the serial port of the Etrax100LX developer board, save them to a file on the developer board and make this data available for remote access. The idea behind using the Etrax100LX development board and writing software for it is to build a wireless, web-based monitoring system for electrical and mechanical rotating machineray which makes the data available for remote access. Bluetooth is a wireless, data transmission technology [13] designed specifically for use in Personal Area Networks (PANs) where up to seven Bluetooth enabled computing devices such as Personal Computers and Personal Digital Assistants (PDAs) can form either a Group ad-hoc Network (GN or Bluetooth Piconet) or a network where one of them acts as a proxy, router or bridge (Network Access Point, NAP) between and existing network inftrastructure (typically LAN) and the other Bluetooth devices [14].
6

Berglund, Marie. „Voice User Interface for Understanding Wireless Sensor Technology“. Thesis, Linköpings universitet, Institutionen för teknik och naturvetenskap, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-97127.

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The research area of wireless sensor network (WSN) witnessed an increased attention in the last few´years due to the great potential to allow a comprehensive monitoring of the environment. With the sensing technology of WSN large areas can be monitored allowing for a comprehensive study of the environment. Handling WSN requires prior knowledge about the technology and this becomes an issue for a first time user, unable to explore the whole potential of the networks. Incorporating WSN technology with voice recognition technology allows the creation of a platform for developing new innovative user interactions. This report presents a novel voice user interface for understanding wireless networks by integrating the voice recognition features of the Center for Spoken Language Understanding (CSLU) toolkit with wireless sensor nodes allowing a first time user to interact with a wireless sensor network through voice input.The voice user interface software allows a new user to collect data from the network through voice input enabled by conversing with an animated agent. The software is highly extensible and its envisioned future deployment will be to teach Irish secondary school students more about wireless technology.
7

Mou, Xiaolin. „Wireless power transfer technology for electric vehicle charging“. Thesis, Durham University, 2017. http://etheses.dur.ac.uk/12416/.

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In the years 1884-1889, after Nicola Tesla invented "Tesla Coil", wireless power transfer (WPT) technology is in front of the world. WPT technologies can be categorized into three groups: inductive based WPT, magnetic resonate coupling (MRC) based WPT and electromagnetic radiation based WPT. MRC-WPT is advantageous with respect to its high safety and long transmission distance. Thus it plays an important role in the design of wireless electric vehicle (EV) charging systems. The most significant drawback of all WPT systems is the low efficiency of the energy transferred. Most losses happen during the transfer from coil to coil. This thesis proposes a novel coil design and adaptive hardware to improve power transfer efficiency (PTE) in magnetic resonant coupling WPT and mitigate coil misalignment, a crucial roadblock to the acceptance of WPT for EV. In addition, I do some analysis of multiple segmented transmitters design for dynamic wireless EVs charging and propose an adaptive renewable (wind) energy-powered dynamic wireless charging system for EV.
8

Zinchenko, I. S. „Technology of data transfer in wireless sensor networks“. Thesis, Sumy State University, 2016. http://essuir.sumdu.edu.ua/handle/123456789/45887.

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It has been over a decade since then, when we started intensive scientific and technological research of possibilities of using sensors together with the wireless network. The result was the creation of new types of telecommunications networks, wireless sensor networks (WSN) is a new promising technology, which are applied and executed large-scale projects for different industries and military systems.
9

Riffe, Matthew Joseph. „Wireless MRI Detector Arrays: Technology & Clinical Applications“. Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1377183452.

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10

El, Helou Melhem. „Radio Access Technology Selection in Heterogeneous Wireless Networks“. Thesis, Rennes 1, 2014. http://www.theses.fr/2014REN1S086/document.

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Pour faire face à la croissance rapide du trafic mobile, différentes technologies d'accès radio (par exemple, HSPA, LTE, WiFi, et WiMAX) sont intégrées et gérées conjointement. Dans ce contexte, la sélection de TAR est une fonction clé pour améliorer les performances du réseau et l'expérience de l'utilisateur. Elle consiste à décider quelle TAR est la plus appropriée aux mobiles. Quand l'intelligence est poussée à la périphérie du réseau, les mobiles décident de manière autonome de leur meilleur TAR. Ils cherchent à maximiser égoïstement leur utilité. Toutefois, puisque les mobiles ne disposent d'aucune information sur les conditions de charge du réseau, leurs décisions peuvent conduire à une inefficacité de la performance. En outre, déléguer les décisions au réseau optimise la performance globale, mais au prix d'une augmentation de la complexité du réseau, des charges de signalisation et de traitement. Dans cette thèse, au lieu de favoriser une de ces deux approches décisionnelles, nous proposons un cadre de décision hybride: le réseau fournit des informations pour les mobiles pour mieux décider de leur TAR. Plus précisément, les utilisateurs mobiles choisissent leur TAR en fonction de leurs besoins et préférences individuelles, ainsi que des paramètres de coût monétaire et de QoS signalés par le réseau. En ajustant convenablement les informations du réseau, les décisions des utilisateurs répondent globalement aux objectifs de l'opérateur. Nous introduisons d'abord notre cadre de décision hybride. Afin de maximiser l'expérience de l'utilisateur, nous présentons une méthode de décision multicritère (MDMC) basée sur la satisfaction. Outre leurs conditions radio, les utilisateurs mobiles tiennent compte des paramètres de coût et de QoS, signalées par le réseau, pour évaluer les TAR disponibles. En comparaison avec les solutions existantes, notre algorithme répond aux besoins de l'utilisateur (par exemple, les demandes en débit, la tolérance de coût, la classe de trafic), et évite les décisions inadéquates. Une attention particulière est ensuite portée au réseau pour s'assurer qu'il diffuse des informations décisionnelles appropriées, afin de mieux exploiter ses ressources radio alors que les mobiles maximisent leur propre utilité. Nous présentons deux méthodes heuristiques pour dériver dynamiquement quoi signaler aux mobiles. Puisque les paramètres de QoS sont modulées en fonction des conditions de charge, l'exploitation des ressources radio s'est avérée efficace. Aussi, nous nous concentrons sur l'optimisation de l'information du réseau. La dérivation des paramètres de QoS est formulée comme un processus de décision semi-markovien, et les stratégies optimales sont calculées en utilisant l'algorithme de Policy Iteration. En outre, et puisque les paramètres du réseau ne peuvent pas être facilement obtenues, une approche par apprentissage par renforcement est introduite pour dériver quoi signaler aux mobiles
To cope with the rapid growth of mobile broadband traffic, various radio access technologies (e.g., HSPA, LTE, WiFi, and WiMAX) are being integrated and jointly managed. Radio Access Technology (RAT) selection, devoted to decide to what RAT mobiles should connect, is a key functionality to improve network performance and user experience. When intelligence is pushed to the network edge, mobiles make autonomous decisions regarding selection of their most appropriate RAT. They aim to selfishly maximize their utility. However, because mobiles have no information on network load conditions, their decisions may lead to performance inefficiency. Moreover, delegating decisions to the network optimizes overall performance, but at the cost of increased network complexity, signaling, and processing load. In this thesis, instead of favoring either of these decision-making approaches, we propose a hybrid decision framework: the network provides information for the mobiles to make robust RAT selections. More precisely, mobile users select their RAT depending on their individual needs and preferences, as well as on the monetary cost and QoS parameters signaled by the network. By appropriately tuning network information, user decisions are globally expected to meet operator objectives, avoiding undesirable network states. We first introduce our hybrid decision framework. Decision makings, on the network and user sides, are investigated. To maximize user experience, we present a satisfaction-based Multi-Criteria Decision-Making (MCDM) method. In addition to their radio conditions, mobile users consider the cost and QoS parameters, signaled by the network, to evaluate serving RATs. In comparison with existing MCDM solutions, our algorithm meets user needs (e.g., traffic class, throughput demand, cost tolerance), avoiding inadequate decisions. A particular attention is then addressed to the network to make sure it broadcasts suitable decisional information, so as to better exploit its radio resources while mobiles maximize their own utility. We present two heuristic methods to dynamically derive what to signal to mobiles. While QoS parameters are modulated as a function of the load conditions, radio resources are shown to be efficiently exploited. Moreover, we focus on optimizing network information. Deriving QoS parameters is formulated as a semi-Markov decision process, and optimal policies are computed using the Policy Iteration algorithm. Also, and since network parameters may not be easily obtained, a reinforcement learning approach is introduced to derive what to signal to mobiles. The performances of optimal, learning-based, and heuristic policies are analyzed. When thresholds are pertinently set, our heuristic method provides performance very close to the optimal solution. Moreover, although lower performances are observed, our learning-based algorithm has the crucial advantage of requiring no prior parameterization
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Bücher zum Thema "Wireless technology":

1

Powell, Steven, und J. P. Shim, Hrsg. Wireless Technology. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-71787-6.

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2

Blake, Roy. Wireless communication technology. Albany, NY: Delmar, 2000.

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3

Rackley, Steve. Wireless Networking Technology. San Diego: Elsevier Science & Technology, 2010.

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4

Carr, Joseph J. Microwave & wireless communications technology. Boston: Butterworth-Heinemann, 1997.

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5

Praphul, Chandra, Hrsg. Wireless networking. Amsterdam: Elsevier/Newnes, 2008.

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6

Ramirez-Iniguez, Roberto. Optical wireless communications: IR for wireless connectivity. Boca Raton: CRC Press, 2008.

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7

Kim, Kuinam J., und Hyuncheol Kim, Hrsg. Mobile and Wireless Technology 2018. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-1059-1.

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8

Kim, Kuinam J., und Naruemon Wattanapongsakorn, Hrsg. Mobile and Wireless Technology 2015. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-47669-7.

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9

Leclair, Marc G. Wireless technology: A reference guide. Coudersport, PA: Treehouse Pub., 1998.

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10

Jia, Feng. Wireless networks: Research, technology & applications. Hauppauge: Nova Science Publishers, 2009.

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Buchteile zum Thema "Wireless technology":

1

Irvine, James M. „Wireless Technology“. In Service Provision, 93–112. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470020504.ch6.

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2

Chen, Shanzhi, Jinling Hu, Li Zhao, Rui Zhao, Jiayi Fang, Yan Shi und Hui Xu. „NR-V2X Technology“. In Wireless Networks, 173–233. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-5130-5_5.

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3

Chen, Shanzhi, Jinling Hu, Li Zhao, Rui Zhao, Jiayi Fang, Yan Shi und Hui Xu. „LTE-V2X Technology“. In Wireless Networks, 117–72. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-5130-5_4.

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4

Allen, S. M., R. M. Whitaker und S. Hurley. „Optimized Seed Node Locations for Infrastructure Wireless Mesh Networks“. In Wireless Technology, 1–19. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-71787-6_1.

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5

Luo, Jun, Jean H. Andrian, Chi Zhou und James P. Stephens. „Performance Analysis of Interference for OFDM Systems“. In Wireless Technology, 145–60. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-71787-6_10.

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Salari, Soheil, Mahmoud Ahmadian, Mehrdad Ardebilipour, Vahid Meghdadi und Jean-Pierre Cances. „Maximum-Likelihood Carrier-Frequency Synchronization and Channel Estimation for MIMO-OFDM Systems“. In Wireless Technology, 161–76. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-71787-6_11.

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Tarín, C., L. Traver, P. Martí und N. Cardona. „Wireless Communication Systems from the Perspective of Implantable Sensor Networks for Neural Signal Monitoring“. In Wireless Technology, 177–201. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-71787-6_12.

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Taskaldiran, Mustafa, Richard C. S. Morling und Izzet Kale. „The Modified Max-Log-MAP Turbo Decoding Algorithm by Extrinsic Information Scaling for Wireless Applications“. In Wireless Technology, 203–13. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-71787-6_13.

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Umlauft, Martina, und Peter Reichl. „Getting Network Simulation Basics Right – A Note on Seed Setting Effects for the ns-2 Random Number Generator“. In Wireless Technology, 215–28. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-71787-6_14.

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Wang, Lei, und K. Wendy Tang. „Topology-Based Routing for Xmesh in Wireless Sensor Networks“. In Wireless Technology, 229–39. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-71787-6_15.

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Konferenzberichte zum Thema "Wireless technology":

1

Dungarwal, Nilesh, und Rohit Dube. „Wireless technology“. In ICWET '10: International Conference and Workshop on Emerging Trends in Technology. New York, NY, USA: ACM, 2010. http://dx.doi.org/10.1145/1741906.1742191.

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Ranjini, T., und R. Yamuna. „Wireless technology“. In 2011 National Conference on Innovations in Emerging Technology (NCOIET). IEEE, 2011. http://dx.doi.org/10.1109/ncoiet.2011.5738824.

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Pramanik, Anwesha, K. B. Yadav und Vishal Rathore. „WIRELESS BIDIRECTIONAL POWER SYSTEM FOR ELECTRIC VEHICLES - A REVIEW“. In TOPICS IN INTELLIGENT COMPUTING AND INDUSTRY DESIGN (ICID). VOLKSON PRESS, 2022. http://dx.doi.org/10.26480/icpesd.01.2022.12.17.

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Annotation:
Wireless Electric Transfer (WET) is a cutting-edge technology that allows power to be transmitted without physical contact. Most power technology is being converted to wireless technology by various methods as technology advances. Even if electric vehicles and plug-in hybrids are relatively new and viable, it is insufficient to keep the power source unplugged a night before. When an electric car park in a designated parking area with a transmitter circuit in place, charging will begin automatically. The Inductively Coupled Power Transfer System (ICPT) was discovered to be an excellent way for charging electric automobiles wirelessly after a study of a few wireless charging systems (Electric Vehicles). Bidirectional IPT (Inductively Coupled Power Transfer System) presented in this paper is suitable for Vehicle to Grid (V2G) systems. For Electric Vehicle charging, this Bidirectional Wireless Power Transfer is a dependable, powerful, and effective technology. Wireless power approaches comprise two classes: non-radiative and radiative. The study will also improve the system’s practicality, dependability, and efficiency.
4

Basuri, Soham, Aditya Parida, Sushruta Mishra, Vandana Sharma, Mahmoud Ahmad Al-Khasawneh und Ahmed Alkhayyat. „5G Technology Empowering Wireless Technology“. In 2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT). IEEE, 2023. http://dx.doi.org/10.1109/icaiccit60255.2023.10465779.

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„Wireless Technology 2006“. In 2006 European Microwave Integrated Circuits Conference. IEEE, 2006. http://dx.doi.org/10.1109/emicc.2006.282721.

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Mallinson, S. R. „Wireless access technology“. In IEE Seminar How Big is Your Pipe? Fast SoHo SME/Connectivity. IEE, 1999. http://dx.doi.org/10.1049/ic:19990324.

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„Wireless Technology 2006“. In 2006 European Conference on Wireless Technology. IEEE, 2006. http://dx.doi.org/10.1109/ecwt.2006.280406.

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Joshi, Shreyas, Sohan Zadbuke, Nagesh Kumbar, Sanket Malshette und Vrushali Gurav. „5G Technology Evolutions“. In National Conference on Relevance of Engineering and Science for Environment and Society. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.118.35.

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5G technology has number of existing generations of wireless technologies in terms of their portal, efficiency, effectiveness, and cost-benefit analysis. The paper puts a focus on the evolution and development of various generations of mobile wireless technology along with their significance and advantages of one over the other. From past several decades, mobile wireless technologies have experience 4 or 5 generations of technology revolution and evolution, namely from 1G to 4G. The Current research in mobile wireless technology concentrates on promoting the implementation of LTE technology and 5G technology. At present, the term is not officially used. In 5G, the research on the development of World Wide Wireless internet access (WWW), Dynamic adhoc Wireless Networks (DAWN) and Real Wireless World. In this paper, we focusa new network architecture for the next-generation of mobile networks, 5G. In this architecture, the mobile device will have the ability to get to the Radio Access Technology - RAT based on certain user-defined criteria.
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Jentzsch, Ric, und Masoud Mohammadian. „A Framework for Teaching Mobile and Wireless Technology“. In InSITE 2004: Informing Science + IT Education Conference. Informing Science Institute, 2004. http://dx.doi.org/10.28945/2799.

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This paper discusses a framework for teaching of mobile and wireless technology. The framework is evolving with the numerous changes that are occurring in the related technology as well as the changes that are occurring in the teaching environment. In today’s business environment the use of wireless applications is beginning to play an ever increasing important role. Many people use and interact with wireless and mobile devices each day both in their business and in their personal lives. Tomorrow’s mobile business environment will be a force that can influence the competitive nature of business. The teaching of and about the technology and environment is only just beginning.
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Qingyun, Dai, Bao Hong, Liu Yihong, Liu Zexi, Zhou Ke und Wang Jin. „433MHz Wireless Network Technology for Wireless Manufacturing“. In 2008 Second International Conference on Future Generation Communication and Networking (FGCN). IEEE, 2008. http://dx.doi.org/10.1109/fgcn.2008.193.

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Berichte der Organisationen zum Thema "Wireless technology":

1

Batalama, Stella N. Wireless Technology. Fort Belvoir, VA: Defense Technical Information Center, März 2009. http://dx.doi.org/10.21236/ada495824.

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Meiksin, Zvi H. WIRELESS MINE WIDE TELECOMMUNICATIONS TECHNOLOGY. Office of Scientific and Technical Information (OSTI), April 2002. http://dx.doi.org/10.2172/793665.

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Zvi H. Meiksin. WIRELESS MINE-WIDE TELECOMMUNICATIONS TECHNOLOGY. Office of Scientific and Technical Information (OSTI), Januar 2004. http://dx.doi.org/10.2172/822690.

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Zvi H. Meiksin. WIRELESS MINE-WIDE TELECOMMUNICATIONS TECHNOLOGY. Office of Scientific and Technical Information (OSTI), März 2004. http://dx.doi.org/10.2172/828656.

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Zvi H. Meiksin. WIRELESS MINE WIDE TELECOMMUNICATION TECHNOLOGY. Office of Scientific and Technical Information (OSTI), Oktober 2002. http://dx.doi.org/10.2172/820022.

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Bartone, Erik J., und John F. Carbone. Low Frequency Wireless Communications Technology. Office of Scientific and Technical Information (OSTI), Januar 2004. http://dx.doi.org/10.2172/820935.

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Zvi H. Meiksin. WIRELESS MINE-WIDE TELECOMMUNICATIONS TECHNOLOGY. Office of Scientific and Technical Information (OSTI), Januar 2003. http://dx.doi.org/10.2172/822231.

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Kostoff, Ronald N., Rene Tshiteya, Jesse Stump, Guido Malpohl und George Karypis. Science and Technology Text Mining: Wireless LANS. Fort Belvoir, VA: Defense Technical Information Center, Januar 2005. http://dx.doi.org/10.21236/ada437247.

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none,. Industrial Wireless Technology for the 21st Century. Office of Scientific and Technical Information (OSTI), Dezember 2002. http://dx.doi.org/10.2172/1218799.

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Lee, C. H. Wireless Technology for Command Control and Communications. Fort Belvoir, VA: Defense Technical Information Center, September 1993. http://dx.doi.org/10.21236/ada284367.

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