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Статті в журналах з теми "Mobile signal"

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Автор: Grafiati

Опубліковано: 30 травня 2022

Оновлено: 31 травня 2022

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1

Hoole, Paul Ratnamahilan Polycarp, Lwin Maw Abdul Raheem, Ramiah Harikrishnan, Kanesan Jeevan, and Samuel Ratnajeevan Herbert Hoole. "A Three-Element Handheld Mobile Communication Antenna for Desired Signal Reception and Reflected Signal Cancellation." Materials Science Forum 721 (June 2012): 153–58. http://dx.doi.org/10.4028/www.scientific.net/msf.721.153.

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Abstract. Space diversity, where antennas are separated in space at the receiver, is considered one of the most effective ways of eliminating unwanted signals in order to maximize the signal to noise ratio of the desired signal. Moreover it may be used to receive a signal that has gone through less fading when the direct path signal may have undergone deep fade. In this paper we use analytical electromagnetic solutions for the radiated signals to implement antenna space diversity on small handheld receiver units of mobile stations. While using the standard time difference of arrival method to obtain a first approximation of the mobile station position, the electromagnetic model is used to determine a more accurate position of the mobile station. The performance of this method with a multi-element mobile station antenna is shown to give good position estimation in the presence of various of kinds noise. A three element mobile station receiver is for the first time reported to be able simultaneously to null a deeply faded signal in the Rayleigh fading environment, and maximize the signal strength. It is shown that a three element antenna may be used to eliminate an undesired signal, while it may maximize the reception of the desired signal. The transmitter does not require a training sequence, as in the case of an equalizer, since the entire signal processing of the electromagnetic signal is done at the mobile receiver.

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2

Puspitasari, Nutri, Siti Nurrochmah, and Dona Sandy Yudasmara. "PENGEMBANGAN MEDIA PELATIHAN SIGNAL-SIGNAL WASIT BOLAVOLI MENGGUNAKAN M-LEARNING." Gelanggang Pendidikan Jasmani Indonesia 1, no. 2 (December 31, 2017): 238. http://dx.doi.org/10.17977/um040v1i2p238-245.

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Abstrak:Tujuan penelitian dan pengembangan ini untuk mengembangkan media pelatihan signal-signal wasit bolavoli yang dikemas dalam bentuk buku digital mobile learning. Selain itu, media buku digital mobile learning diharapkan dapat mempermudah peserta kegiatan latihan untuk belajar dan mempraktekkan materi signal-signal wasit bolavoli secara mandiri. Model penelitian ini menggunakan model konseptual. Uji coba kelompok keseluruhan melibatkan 45 anggota kegiatan latihan. Produk yang dihasilkan dari penelitian ini adalah media pelatihan signal-signal wasit bolavoli menggunakan M-Learning. Dengan hasil analisis data uji coba kelompok kecil diperoleh persentase 89,33% dan hasil analisis data uji kelompok besar diperoleh persentase 92,81%. Kesimpulan pengembangan media pelatihan signal-signal wasit bolavoli menggunakan M-Learning dapat digunakan sebagai media yang tepat dan layak untuk anggota kegiatan Unit Aktivitas Bolavoli di Universitas Negeri Malang. Kata Kunci: Perwasitan bolavoli, Mobile Learning

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3

Springer, David B., Thomas Brennan, Ntobeko Ntusi, Hassan Y. Abdelrahman, Liesl J. Zühlke, Bongani M. Mayosi, Lionel Tarassenko, and Gari D. Clifford. "Automated signal quality assessment of mobile phone-recorded heart sound signals." Journal of Medical Engineering & Technology 40, no. 7-8 (September 23, 2016): 342–55. http://dx.doi.org/10.1080/03091902.2016.1213902.

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4

Kozel, V. M., D. A. Podvornaya, and K. A. Kovalev. "Peal factor of signals of 5G mobile service systems." Doklady BGUIR 18, no. 6 (October 1, 2020): 5–10. http://dx.doi.org/10.35596/1729-7648-2020-18-6-5-10.

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Анотація:

This article discusses the possible formats of signals of 5G mobile communication networks (NR, IMT-2020): configurations of the number of resource blocks and frequency shifts of subcarriers. modulation schemes, organizations of the physical level, as well as the broadband signals of these networks and, as a result, the need for introducing a margin on the linearity of the transceiver’s paths to eliminate distortion or the manifestation of blocking effects when the signal interferes with third-party means. We analyze the characteristics of the dynamic range of the signals from IMT-2020 ground mobile systems and make a conclusion about the noise-like signals. To find the ratio of the maximum amplitude to its average value and a given ratio not exceeded with a given probability, the Matlab mathematical models were used. We infer that the law of probability distribution of the module of the instantaneous amplitude of the 5G signals corresponds to the distribution characteristic of narrow-band radio noise. Based on the study, the peak factor of the signal of the IMT-2020 ground mobile systems for various variations is obtained and a sufficient level of power reserve is provided to ensure, with high probability, the transmission of the 5G signals through radio paths, eliminating signal distortion. The results of this study were applied in the examination of the electromagnetic compatibility of radio electronic devices of cellular mobile communications with existing and promising electronic means of civil and special purposes and in the study of the protection of ground satellite stations from the effects of radio electronic means of IMT-2020 cellular mobile telecommunication networks located at border territories.

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5

Wang, Hai, Baoshen Guo, Shuai Wang, Tian He, and Desheng Zhang. "CSMC." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 4 (December 27, 2021): 1–22. http://dx.doi.org/10.1145/3494959.

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The rise concern about mobile communication performance has driven the growing demand for the construction of mobile network signal maps which are widely utilized in network monitoring, spectrum management, and indoor/outdoor localization. Existing studies such as time-consuming and labor-intensive site surveys are difficult to maintain an update-to-date finegrained signal map within a large area. The mobile crowdsensing (MCS) paradigm is a promising approach for building signal maps because collecting large-scale MCS data is low-cost and with little extra-efforts. However, the dynamic environment and the mobility of the crowd cause spatio-temporal uncertainty and sparsity of MCS. In this work, we leverage MCS as an opportunity to conduct the city-wide mobile network signal map construction. We propose a fine-grained city-wide Cellular Signal Map Construction (CSMC) framework to address two challenges including (i) the problem of missing and unreliable MCS data; (ii) spatio-temporal uncertainty of signal propagation. In particular, CSMC captures spatio-temporal characteristics of signals from both inter- and intra- cellular base stations and conducts missing signal recovery with Bayesian tensor decomposition to build large-area fine-grained signal maps. Furthermore, CSMC develops a context-aware multi-view fusion network to make full use of external information and enhance signal map construction accuracy. To evaluate the performance of CSMC, we conduct extensive experiments and ablation studies on a large-scale dataset with over 200GB MCS signal records collected from Shanghai. Experimental results demonstrate that our model outperforms state-of-the-art baselines in the accuracy of signal estimation and user localization.

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6

Sârbu, Annamaria, Paul Bechet, and Simona Miclăuș. "Mobile Phone User Exposure Assessment to UMTS and LTE Signals at Mobile Data Turn on by Applying an Original Method." International conference KNOWLEDGE-BASED ORGANIZATION 23, no. 3 (June 27, 2017): 114–19. http://dx.doi.org/10.1515/kbo-2017-0164.

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Abstract In order to provide assessment of mobile phone user exposure to electromagnetic fields emitted in the close vicinity of a mobile device we have measured real life UMTS and LTE signals at mobile data turn on. The paper presents some preliminary results of mobile phone user exposure assessment at mobile data turn by making use of a non-standardized procedure that enables the calculus of the radiated signal energy and duty cycle. Our results sustain that higher user exposure is expected within the first minute after mobile data is switched on as higher duty cycles and more than a third of the total radiated energy is found in this time period, as compared to the total signal monitoring time. Authors expect increased exposure if other application services are launched within this time frame. Moreover, special attention should be paid to user exposure assessment in the case of active call services with mobile data turned on. Because SAR is currently the sole standardized metrics in dosimetry, the authors propose the use of the measured signal radiated energy as well as the calculated duty cycle as complementary indicators of user exposure to electromagnetic fields in order to provide a more comprehensive view on mobile phone radiation exposure.

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7

Kim, Hyung-Bae, Man-Jun Kwon, Eun-Jong Cha, and Myung-Geun Chun. "Bio-Signal Acquisition System Using Mobile Device." Journal of Korean Institute of Intelligent Systems 15, no. 3 (June 1, 2005): 349–54. http://dx.doi.org/10.5391/jkiis.2005.15.3.349.

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8

., Aditya Kumar Dwivedi. "MOBILE SECURITY USING WI-FI SIGNAL STRENGTH." International Journal of Research in Engineering and Technology 03, no. 22 (June 25, 2014): 44–45. http://dx.doi.org/10.15623/ijret.2014.0322009.

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9

Angel Mercy, T., J. Jeshua Linu, and P. Subha Hency Jose. "Bio-Signal Monitoring System using Mobile Phone." DJ Journal of Advances in Electronics and Communication Engineering 4, no. 2 (May 26, 2018): 11–16. http://dx.doi.org/10.18831/djece.org/2018021002.

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10

Lim, Beomjae, Byunghun Jeong, and Jungsun Kim. "Mobile Attendance System using Bluetooth Signal Strength." KIISE Transactions on Computing Practices 24, no. 6 (June 30, 2018): 307–11. http://dx.doi.org/10.5626/ktcp.2018.24.6.307.

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11

Mlotshwa, Sizolwenkosi, Olivier Voinnet, M. Florian Mette, Marjori Matzke, Herve Vaucheret, Shou Wei Ding, Gail Pruss, and Vicki B. Vance. "RNA Silencing and the Mobile Silencing Signal." Plant Cell 14, suppl 1 (May 2002): S289—S301. http://dx.doi.org/10.1105/tpc.001677.

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12

FRYE, E. O. "GPS Signal Availability in Land Mobile Applications." Navigation 36, no. 3 (September 1989): 287–301. http://dx.doi.org/10.1002/j.2161-4296.1989.tb01518.x.

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13

Palaghias, Niklas, Seyed Amir Hoseinitabatabaei, Michele Nati, Alexander Gluhak, and Klaus Moessner. "A Survey on Mobile Social Signal Processing." ACM Computing Surveys 48, no. 4 (May 2, 2016): 1–52. http://dx.doi.org/10.1145/2893487.

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14

Hwang, Hoyoung. "A Signal Method for Mobile Handheld Devices." International Journal of Multimedia and Ubiquitous Engineering 10, no. 3 (March 31, 2015): 91–98. http://dx.doi.org/10.14257/ijmue.2015.10.3.09.

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15

Wigge, Philip A. "FT, A Mobile Developmental Signal in Plants." Current Biology 21, no. 9 (May 2011): R374—R378. http://dx.doi.org/10.1016/j.cub.2011.03.038.

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16

Bae, Joonheui, and Dong Mo Koo. "Signal Typology and Decision Making Process Using Signals in Mobile Game Platform." Journal of Korea Game Society 17, no. 4 (August 31, 2017): 117–28. http://dx.doi.org/10.7583/jkgs.2017.17.4.117.

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17

Liao, Xuening, Zhen Jia, Zhenqiang Wu, Bo Liu, Xinlei Wang, and Xiaohong Jiang. "Modulation and Signal Detection for Diffusive-Drift Molecular Communication with a Mobile Receiver." Mobile Information Systems 2021 (December 2, 2021): 1–17. http://dx.doi.org/10.1155/2021/9656465.

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Анотація:

Molecular communication (MC), which allows nanomachines to communicate with each other by using chemical molecules, is considered to be a promising method for communications in liquid environment. Available works on MC mainly focus on modulation and signal detection schemes for MC systems with fixed nanomachines, i.e., fixed molecular communication (FMC) systems. However, the more complex systems with mobile nanomachines (i.e., mobile molecular communication (MMC) systems) have been largely unexplored. This paper considers a MMC system with a fixed transmitter and a mobile receiver communicating over diffusive-drift channels of a limited boundary. We first propose a new modulation scheme to address the issue of misalignment in the signal detection of MMC systems by adopting three types of molecules in the signal modulation and modulating the transmitted signals into blocks with equal length to avoid the transferring of a signal error in the current block on the signal detection in other blocks. We then propose a new signal detection scheme of the MMC systems by calculating the distance between the transmitter and the receiver based on a distance prediction method and detecting signals at the receiver based on the decided adaptive concentration threshold in each time interval. To verify the efficiency of our proposed scheme, we then conducted extensive simulations by the Monte Carlo simulation, and comparisons are also made among our proposed schemes, a well-known fixed threshold signal detection scheme, the CATD scheme, the PAD scheme, and a low complexity signal detection scheme for MMC systems in terms of the BER (bit error rate). Results show that our proposed schemes can outperform these schemes regarding the BER.

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18

Moutinho, João, Diamantino Freitas, and Rui Esteves Araújo. "Indoor Global Localisation in Anchor-based Systems using Audio Signals." Journal of Navigation 69, no. 5 (February 16, 2016): 1024–40. http://dx.doi.org/10.1017/s0373463315001095.

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This paper presents a method that allows mobile devices to be globally self-localised in indoor localisation systems by transmitting to them data from position reference anchors. The objective is to establish a reliable one-way down-link communication through signals used in the localisation process in a typically strong fading and multipath channel environment. This is accomplished by using signal processing techniques, including coding and forward error correction, to transmit data using a specific transmission control protocol. Experimental results, using audio as the signal between anchors and the mobile device, demonstrate successful data transmission in realistic scenarios like a common noisy and reverberant room. Spread spectrum noise-like masked signals 4·9 dB below background noise were sufficient to attain correct data reception at four metres distance between a loudspeaker anchor and a mobile device's microphone.

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19

Lin, Jzau Sheng, Mei Wang, Pei Yu Lia, and Ze Jin Li. "An SSVEP-Based BCI System for SMS in a Mobile Phone." Applied Mechanics and Materials 513-517 (February 2014): 412–15. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.412.

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In this paper, the purpose is to develop a Short Message Service (SMS) system that can aid the ALS patients to control a mobile phone to send a message by using of the steady state visually evoked potentials (SSVEP) brain computer interface (BCI) to a person who can help him/her. The EEG signals may be detected by electrodes and signal extracting chip. Then these signal can be transmitted to the mobile platforms by using of Bluetooth interface. Finally, the message and phone number can be selected in accordance with the components in frequency domain transferred from time domain. The experimental results had shown that the proposed system can easily send a message from a mobile phone to another.

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20

Regitha, M. R., and Varghese Paul. "Reducing the Frequent Switch Over between the Base Stations through Continuous Analysis of Signal Strength." Asian Journal of Computer Science and Technology 7, no. 1 (May 5, 2018): 99–103. http://dx.doi.org/10.51983/ajcst-2018.7.1.1823.

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As the increase in the number of mobiles and mobile networks, the existing standards and technologies face several issues and challenges. In the mobility management of cellular networks, HO is the important parameter on which these issues and challenges affect drastically. Several research papers have proposed many ideas and schemes to reduce HO latency. As the increase in the number new technologies and networks, the existing ideas are no longer supported efficiently. So a continuous analysis on handover (HO) procedure is required. Signal strength (SS) and quality of service (QoS) are measured at particular time intervals in cellular networks. Results show that the highest value of signal strength has the best quality of service. In this paper, a continuous analysis on signal strength received by the mobile station (MS) is used to monitor the HO process to reduce the HO delay. In this analysis, the parameters user movement pattern, topological position, signal strength and time are used which will be helpful to forecast the HO in advance. Using HO forecast minimum number of frequent switch over between the base stations (BSs) reduces the HO latency in mobile networks.

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21

Lee, Duck Hee, Ahmed Fazle Rabbi, Noah Root, Reza Fazel-Rezai, Jaesoon Choi, Pablo de León, and Joshua Wynne. "A Heart Monitoring System for a Mobile Device." International Journal of Handheld Computing Research 3, no. 4 (October 2012): 22–39. http://dx.doi.org/10.4018/jhcr.2012100102.

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There have been major advances in research and development of devices for the diagnosis of patients in the medical field. A light and portable wireless system to monitor human physiological signals has been always a medical personnel’s dream. An e-health monitoring system is a widely used noninvasive diagnosis tool for an ambulatory patient who may be at risk from latent life threatening cardiac abnormalities. The authors proposed a high performance and intelligent wireless measuring e-health monitoring system for a mobile device that is characterized by the small sized and low power consumption. The hardware system consists of an one-chip microcontroller (Atmega 128L), a wireless module, and electrocardigram (ECG) signal preprocessing including filtering, power noise canceling, and level shifting. The software utilizes a recursive filter and preprocessing algorithm to detect ECG signal parameters, i.e., QRS-complex, Q-R-T points, HR, and QT-interval. To easily interface with a mobile device, an analyzer program operates on a Windows mobile OS. This paper described the system that was developed and successfully tested for a wireless transmission of ECG signals to a mobile device.

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22

Chang, Chung-Liang, and Bo-Han Wu. "A Dynamic Cooperative Scheme with Multiple Antennas for Indoor Mobile Robot Localization." Abstract and Applied Analysis 2013 (2013): 1–14. http://dx.doi.org/10.1155/2013/972371.

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This paper proposes a spatial cooperative diversity and decision-making technique to enhance signal detection and indoor mobile robot positioning performance of a global positioning satellite system (GNSS) receiver. Though the adaptive antenna array technique in early research could effectively promote antijamming freedom, overcome time-varying system, and mitigate narrowband and wideband interferences, factors such as the decrease of signal magnitude caused by obstacles (especially in the indoor environment), multipath, and blanking effect caused by the change in antenna direction with the motion of mobile robot can degrade the detection and interference mitigation performance of GNSS receivers. This paper aims to develop a dynamic cooperative scheme to proceed with the switch, selection, combination, and optimization among antennas. In addition, a signal processing experimental platform is also established to receive actually indoor GNSS signals for verification. The proposed scheme is capable of effectively promoting the postcorrelation signal-to-noise ratio (SNR) capability of a GNSS receiver under the indoor environment.

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23

Aspuru, Javier, Alberto Ochoa-Brust, Ramón Félix, Walter Mata-López, Luis Mena, Rodolfo Ostos, and Rafael Martínez-Peláez. "Segmentation of the ECG Signal by Means of a Linear Regression Algorithm." Sensors 19, no. 4 (February 14, 2019): 775. http://dx.doi.org/10.3390/s19040775.

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The monitoring and processing of electrocardiogram (ECG) beats have been actively studied in recent years: new lines of research have even been developed to analyze ECG signals using mobile devices. Considering these trends, we proposed a simple and low computing cost algorithm to process and analyze an ECG signal. Our approach is based on the use of linear regression to segment the signal, with the goal of detecting the R point of the ECG wave and later, to separate the signal in periods for detecting P, Q, S, and T peaks. After pre-processing of ECG signal to reduce the noise, the algorithm was able to efficiently detect fiducial points, information that is transcendental for diagnosis of heart conditions using machine learning classifiers. When tested on 260 ECG records, the detection approach performed with a Sensitivity of 97.5% for Q-point and 100% for the rest of ECG peaks. Finally, we validated the robustness of our algorithm by developing an ECG sensor to register and transmit the acquired signals to a mobile device in real time.

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24

Choi, Seung Nam, Ilgyu Kim, and Dae Jin Kim. "Uplink Pilot Signal Design for Mobile Wireless Backhaul." Journal of Korean Institute of Communications and Information Sciences 40, no. 6 (June 30, 2015): 1005–13. http://dx.doi.org/10.7840/kics.2015.40.6.1005.

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25

SAADAT, Reza, Ahmad SHAFIEI, and AliAkbar TADAION. "Cooperative Mobile Positioning Based on Received Signal Strength." IEICE Transactions on Communications E92-B, no. 5 (2009): 1912–15. http://dx.doi.org/10.1587/transcom.e92.b.1912.

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26

Hu, Moon-Heang, Moon-Sun Shin, and Kuen-Ho Ryu. "Mobile phone payment system using a light signal." Journal of the Korea Academia-Industrial cooperation Society 10, no. 6 (June 30, 2009): 1237–44. http://dx.doi.org/10.5762/kais.2009.10.6.1237.

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27

Japertas, S., and V. Grimaila. "Mobile Signal Path Losses in Microcells behind Buildings." Radioengineering 26, no. 1 (April 14, 2017): 191–97. http://dx.doi.org/10.13164/re.2017.0191.

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28

Boxall, Nicholas E. "Mobile apps: are we culturally out of signal?" Emergency Medicine Journal 31, no. 7 (April 16, 2014): 608.2–608. http://dx.doi.org/10.1136/emermed-2014-203809.

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29

Giannakis, G. B. "Signal processing advances in wireless and mobile communications." IEEE Signal Processing Magazine 17, no. 3 (May 2000): 14–15. http://dx.doi.org/10.1109/msp.2000.841719.

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30

D.Sangeetha and K.S.Gowthaman, T. Agalya, R. Mathumitha, P. Poongodi. "Active Mobile Phone Detector using Radio Frequency Signal." International Journal for Modern Trends in Science and Technology 6, no. 7 (July 31, 2020): 96–99. http://dx.doi.org/10.46501/ijmtst060715.

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31

Rahul, Yumlembam, and Rupam Kumar Sharma. "EEG Signal-Based Movement Control for Mobile Robots." Current Science 116, no. 12 (June 25, 2019): 1993. http://dx.doi.org/10.18520/cs/v116/i12/1993-2000.

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32

Yoon, Ick-Jae, Evgeny Balzovsky, Yuri Buyanov, Se-Hyun Park, Youngeil Kim, and Vladimir Koshelev. "Active integrated antenna for mobile TV signal reception." Microwave and Optical Technology Letters 49, no. 12 (2007): 2998–3001. http://dx.doi.org/10.1002/mop.22968.

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33

Mohajer, Soheil, Itsik Bergel, and Giuseppe Caire. "Cooperative Wireless Mobile Caching: A Signal Processing Perspective." IEEE Signal Processing Magazine 37, no. 2 (March 2020): 18–38. http://dx.doi.org/10.1109/msp.2019.2962507.

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34

NAKAYAMA, K. "Special Section on Multimedia and Mobile Signal Processing." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E90-A, no. 3 (March 1, 2007): 545. http://dx.doi.org/10.1093/ietfec/e90-a.3.545.

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35

Mohammed, Abbas. "Advances in signal processing for mobile communication systems." International Journal of Adaptive Control and Signal Processing 16, no. 8 (2002): 539–40. http://dx.doi.org/10.1002/acs.723.

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36

Madariaga, Diego, Javier Madariaga, Javier Bustos-Jiménez, and Benjamin Bustos. "Improving Signal-Strength Aggregation for Mobile Crowdsourcing Scenarios." Sensors 21, no. 4 (February 5, 2021): 1084. http://dx.doi.org/10.3390/s21041084.

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Анотація:

Due to its huge impact on the overall quality of service (QoS) of wireless networks, both academic and industrial research have actively focused on analyzing the received signal strength in areas of particular interest. In this paper, we propose the improvement of signal-strength aggregation with a special focus on Mobile Crowdsourcing scenarios by avoiding common issues related to the mishandling of log-scaled signal values, and by the proposal of a novel aggregation method based on interpolation. Our paper presents two clear contributions. First, we discuss the misuse of log-scaled signal-strength values, which is a persistent problem within the mobile computing community. We present the physical and mathematical formalities on how signal-strength values must be handled in a scientific environment. Second, we present a solution to the difficulties of aggregating signal strength in Mobile Crowdsourcing scenarios, as a low number of measurements and nonuniformity in spatial distribution. Our proposed method obtained consistently lower Root Mean Squared Error (RMSE) values than other commonly used methods at estimating the expected value of signal strength over an area. Both contributions of this paper are important for several recent pieces of research that characterize signal strength for an area of interest.

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37

Nazari, Najla Aiman, Ili Najaa Aimi Mohd Nordin, Muhammad Rusydi Muhammad Razif, Noraishikin Zulkarnain, and Nurulaqilla Khamis. "Detection of Active Mobile Phone in Exam Hall." ELEKTRIKA- Journal of Electrical Engineering 18, no. 3-2 (December 24, 2019): 25–31. http://dx.doi.org/10.11113/elektrika.v18n3-2.194.

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Анотація:

The use of mobile phone as a cheating tool in the examination hall among students have considerably increased a burden to invigilators to ensure integrity in examination hall. Many active mobile phone detection schemes had been proposed as the solution to this problem. However, the detection system function in a small detection range of 1.5 to 2 meters from the detection circuit and does not distinguish various frequency bands of radio frequency signals. In order to have diverse range of RF mobile phone signals detection for alerting the invigilators of their specified monitoring region, antenna is proposed to be used. This is done by antenna design simulation using Computer Simulation Technology (CST) software. Two types of antenna; single-dipole antenna and multi-band dipole antenna are simulated to know the characteristics of VSWR, gain and total efficiency. From the simulation results, multi-band dipole antenna shows acceptable VSWR value which are approximate to 2 V, gain is equal to 2.85 dB and total efficiency is equal to 2.484 dB for 2.4 GHz signal. The results imply positive event that multi-band antenna can be a preferable tool in elaborating accurate RF signal detection of active mobile phone in examination hall.

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38

Pookkuttath, Sathian, Mohan Rajesh Elara, Vinu Sivanantham, and Balakrishnan Ramalingam. "AI-Enabled Predictive Maintenance Framework for Autonomous Mobile Cleaning Robots." Sensors 22, no. 1 (December 21, 2021): 13. http://dx.doi.org/10.3390/s22010013.

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Vibration is an indicator of performance degradation or operational safety issues of mobile cleaning robots. Therefore, predicting the source of vibration at an early stage will help to avoid functional losses and hazardous operational environments. This work presents an artificial intelligence (AI)-enabled predictive maintenance framework for mobile cleaning robots to identify performance degradation and operational safety issues through vibration signals. A four-layer 1D CNN framework was developed and trained with a vibration signals dataset generated from the in-house developed autonomous steam mopping robot ‘Snail’ with different health conditions and hazardous operational environments. The vibration signals were collected using an IMU sensor and categorized into five classes: normal operational vibration, hazardous terrain induced vibration, collision-induced vibration, loose assembly induced vibration, and structure imbalanced vibration signals. The performance of the trained predictive maintenance framework was evaluated with various real-time field trials with statistical measurement metrics. The experiment results indicate that our proposed predictive maintenance framework has accurately predicted the performance degradation and operational safety issues by analyzing the vibration signal patterns raised from the cleaning robot on different test scenarios. Finally, a predictive maintenance map was generated by fusing the vibration signal class on the cartographer SLAM algorithm-generated 2D environment map.

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39

Bagye, Wire. "Implementasi Jalur Komunikasi Global System Mobile (GSM) Untuk Kontrol Robot Jarak Jauh Berbasis Mikrikontroller Atmel89S52." Jurnal Informatika dan Rekayasa Elektronik 1, no. 1 (May 3, 2018): 1. http://dx.doi.org/10.36595/jire.v1i1.24.

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Анотація:

Some of the previous research builds controlled robots using devices with limited distance. The remote controlled robot controls the control distance along the rays of the sender's Infrared (IR) ray is not blocked by a 20 meters long Infrared (IR) receiver. The blue tooth controlled robot has a control distance of 40 meters. The controlled Robot Wireless Fidelity controls the maximum range of range specifications of the Access point range used. Maximum coverage ranges for outdoor access points as far as 15 Kilometers. The next research have to do with a longer distance control than previous research. In this research is Built a robot controlled by utilizes of the Global System Mobile (GSM) communication line. This project uses two Hand phones as a sender and the other one to become receiver. Hand phone sender function is sends control signal to receiver phone. Signals sent are DTMF signals (Dual Tone Multiple Frequency). There are 9 signals control with difference function. Those functions are (1) Turn left (2) Right turn (3) Left rewind (4) Right rewind (5) Rear left (6) Rear Right (7) Stop (8) Move forward (9) Move backward. On the mobile phone receiver signal DTMF in the form of analog signal is converted by Integrated Circuit (IC) MT8870p become Signal Digital. Digital signal from IC MT 8870p is used to be input of Atmel89s52 microcontroller. Atmel89s52 output has not been able to be used for DC motor drive signal so that used transistors amplifier to control the relays. Relay as an electronic switch to connect and disconnect the DC voltage to the motor so that the DC motor can be two-way. DC motors rotating clockwise and counterclockwise. This rotation is used as a robot movement. The research results shown that 9 DTMF key tones can be used to control the robot through the GSM line. Long of distance control as far as location that is accessible GSM signal from BTS (Base Transceiver Station). Further research needs to be done to transmit video signals so that it can be done long distance visual monitor on the movement of the robot.

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40

Shurinov, Lev E., Ivan S. Petrushin, and Sergei I. Knizhin. "A Mobile Application to Demonstrate the Basic Concepts of Radio Electronics." Computer tools in education, no. 1 (March 30, 2020): 49–57. http://dx.doi.org/10.32603/2071-2340-2020-1-49-57.

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In the process of studying the basics of the theory of signal transmission and acquaintance with the elements of electrical circuits it is important to demonstrate the mechanism of their work. For this, as a rule, a special laboratory workshop is required, inaccessible during lectures. The developed mobile application “SAoS” works in an interactive mode and does not require special programming skills. It allows the simulation of signals and operations on them using generators, adders, multipliers and various filters included in the structural diagram. The received signal is displayed in the form of an oscillogram and an amplitude spectrum.

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41

Aileen, Aileen, Alexander Dennis Suwardi, and Fernando Prawiranata. "WiFi Signal Strength Degradation Over Different Building Materials." Engineering, MAthematics and Computer Science (EMACS) Journal 3, no. 3 (October 9, 2021): 109–13. http://dx.doi.org/10.21512/emacsjournal.v3i3.7455.

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Wireless Fidelity (WiFi) signals experience propagation through air and material in a building. This propagation causes signal decreasing signal strength. This study aims to determine materials in buildings that cause significant signal strength loss so in the future building design could factor in signal strength by using material that doesn't affect signal strength significantly. The testing of signal strength will be done by observing signal strength through different materials. Signal strength will be recorded by using a mobile app. Materials that majorly decrease signal strength are plastics, with the least affecting materials are hollow plywood wall. The use of plastics in a building affects significantly on signal loss and should be replaced if possible with hollow plywood walls.

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42

Osahenvemwen, Austin O., and Benedict E. Omatahunde. "Impacts of Weather and Environmental Conditions on Mobile Communication Signals." Journal of Advances in Science and Engineering 1, no. 1 (April 30, 2018): 33–38. http://dx.doi.org/10.37121/jase.v1i1.8.

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The impacts of weather and environmental conditions on mobile communication signals were determined in this study. A Glo mobile communication network operating in the 900MHz band was considered. The Glo fixed base transceiver station (BTS) location at Gloworld in Benin City was considered. A frequency-signal tracker software, version 2.5.1 was installed and configured into a notebook Intel palm top, relative parameters data were obtained from 200 meters from the Glo BTS from 28th of July to 31st of August 2016, with data obtained hourly. Morning, afternoon and evening, and dry weather, fog weather and raining conditions was based on the statistical central tendency parameters. The average refractivity gradient observed was -61.3 N/km. It was observed that dry weather, signal strength variation was within 32 dBm, fog, variation was within 34 dBm range, while the variation of rain was within 38 dBm range indicating higher variation. It was observed that the more the mobile station move away from the BTS the higher the signal loss and that temperature and refractivity gradient has 0.50 and 0.42 positive correlations. In addition, relative humidity and pressure possesses negative correlations of -0.50 and -0.44 respectively.

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43

Zhang, Yatao, Shoushui Wei, Yutao Long, and Chengyu Liu. "Performance Analysis of Multiscale Entropy for the Assessment of ECG Signal Quality." Journal of Electrical and Computer Engineering 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/563915.

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This study explored the performance of multiscale entropy (MSE) for the assessment of mobile ECG signal quality, aiming to provide a reasonable application guideline. Firstly, the MSE for the typical noises, that is, high frequency (HF) noise, low frequency (LF) noise, and power-line (PL) noise, was analyzed. The sensitivity of MSE to the signal to noise ratio (SNR) of the synthetic artificial ECG plus different noises was further investigated. The results showed that the MSE values could reflect content level of various noises contained in the ECG signals. For the synthetic ECG plus LF noise, the MSE was sensitive to SNR within higher range of scale factor. However, for the synthetic ECG plus HF noise, the MSE was sensitive to SNR within lower range of scale factor. Thus, a recommended scale factor range within 5 to 10 was given. Finally, the results were verified on the real ECG signals, which were derived from MIT-BIH Arrhythmia Database and Noise Stress Test Database. In all, MSE could effectively assess the noise level on the real ECG signals, and this study provided a valuable reference for applying MSE method to the practical signal quality assessment of mobile ECG.

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44

Al-Ka'bi, Amin. "Computation of Extended Suzuki Mobile Fading Channel (Type I) Parameters." ECTI Transactions on Electrical Engineering, Electronics, and Communications 15, no. 2 (February 9, 2019): 18–25. http://dx.doi.org/10.37936/ecti-eec.2017152.171313.

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The analysis and modeling of mobile fading communications channels has been an active research topic since early beginnings of mobile radio systems. In mobile wireless communication systems, the multipath propagation in addition to the movement of the receiver and/or the transmitter leads to drastic and random fluctuations of the received signal. For flat fading channels, the extended Suzuki process of type (I) has been proposed as a stochastic model of such received signal fluctuations. In this paper we discuss this stochastic model and an appropriate deterministic model, and subsequently present and analyze simulation results based on these models. In this paper, a method to mitigate the effect of multipath propagation using an adaptive array antenna is presented. It is shown that by controlling a number of active elements and their spacing the array’s capability to eliminate scattered signals can be enhanced in the presence of pointing errors.

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45

Bashar, Dr Abul. "Artificial Intelligence Based LTE MIMO Antenna for 5th Generation Mobile Networks." September 2020 2, no. 3 (June 13, 2020): 155–62. http://dx.doi.org/10.36548/jaicn.2020.3.002.

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Artificial intelligence based long term evolution multi in multi output antenna supporting the fifth generation mobile networks is put forth in the paper. The mechanism laid out in paper is devised using the monopole-antenna integrated with the switchable pattern. The long term evolution based multiple input and multiple output antenna is equipped with four antennas and capable of providing a four concurrent data streams quadrupling the theoretical maximum speed of data transfer allowing the base station to convey four diverse signals through four diverse transmit antennas for a single user equipment. The utilization of the long term evolution multiple input multiple output is capable of utilizing the multi-trial broadcasting to offer betterments in the signal performance as well as throughput and spectral efficiency when used along the fifth generation mobile networks. So the paper proposes the artificial intelligence based long term evolution multiple input multiple output four transmit antenna with four diverse signal transmission capacity that is operating in the frequency of 3.501 Gigahertz frequency. The laid out design is evaluated using the Multi-input Multi output signal analyzer to acquire the capacity of the passive conveyance of the various antennas with the diverse combination of patterns. The outcomes observed enables the artificial intelligence antenna to identify the choicest antenna to be integrated in the diverse environments for improving the throughput, signal performance and the data conveyance speed.

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46

Hu, Jian Feng, and Zhen Dong Mu. "Authentication System for Biometric Applications Using Mobile Devices." Applied Mechanics and Materials 457-458 (October 2013): 1224–27. http://dx.doi.org/10.4028/www.scientific.net/amm.457-458.1224.

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Mobile equipment has now become a new platform for information exchange, spend a lot of information exchange, how to effectively protect the mobile platform information security? Research has shown that, EEG signal can be used as identification tool, the user's information protection and good, this paper to protect the information security of mobile devices to research how to use EEG; the EEG signal is feasible for mobile equipment identification.

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47

Bezuk, Steve. "Challenges and Directions in Mobile Device Packaging." Additional Conferences (Device Packaging, HiTEC, HiTEN, and CICMT) 2014, DPC (January 1, 2014): 1–32. http://dx.doi.org/10.4071/2014dpc-keynote_t1_bezuk.

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Mobile devices such as phones, tablets and subnotebooks are driving innovation in device packaging. These devices currently are jammed full of advanced capabilities, such as HD video, GPS, WLAN, cellular, touchscreens, Bluetooth, and dual cameras - with significantly more functionality than “sophisticated” notebooks. These features drive demand for mobile devices and provide significant challenges to the packaging community for solutions such as thinner packages while still controlling warpage, new materials, both polymers and solders, as well as innovative structures moving into 2.5 and 3D. Solving these challenges allows innovation to drive demand for mobile devices, providing a providing a platform for many innovative uses that are still being tapped, such as entertainment, video recording, web access, computer vision, augmented reality, all readable, recognizable, locatable, addressable, and controllable through the internet, the Internet of Things (IOT) concept. This talk will discuss current and future innovations to address these formidable issues in the mobile environment. Many extreme temperature applications such as power converters and motor drivers operate from power rails that are floating, noisy and have extremely high voltages. Typically the logic signal is only a few volts but is must be transmitted in an environment with hundreds or thousands of volts of common mode voltage. In some cases isolation is required for safety reasons to prevent leakage currents that could present an electrical shock hazard. For example the ground reference for a high side driver of an all N channel half bridge is referenced to the switch pin and switches between ground and the power rail within a few nanoseconds. At normal operating temperatures there are many specialized components such as opto-isolators, capacitive coupled devices and devices with integrated high frequency transformers that transmit logic signals across the isolation barrier. These specialized integrated circuits that provide isolation may not function reliably at elevated temperatures; those that do tend to be expensive. With special consideration of the system partitioning, it may be possible to avoid the need for galvanic isolation at extreme temperatures. It may be possible to provide the isolation in a remote more benign environment and send the isolated signal down a cable with appropriate impedance matching. When galvanic isolation at extreme temperatures is necessary, there must be temperature considerations for the components used. For example, when designing pulse transformers, the temperature effects on the magnetic core material properties such as permeability and frequency response must be considered as well as the Curie temperature. Modulation of the logic signals can help to reduce transformer size. Since the isolated driver functions typically require power, a novel method of winding the transformer is discussed; this method allows the drive signal to be transferred across the isolation barrier in the same transformer core that is used to provide isolated power to the driver. This paper addresses these topics and provides several alternative solutions to the problem of galvanic signal isolation at extreme temperatures.

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48

Wang, Chun Ping. "Research on Query Mechanism of Moving Object Database." Applied Mechanics and Materials 530-531 (February 2014): 823–26. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.823.

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Since the mobile radio communication in a wireless mobile environment, which inevitably subject to fading and interference effects of the various signals, multipath and time-domain signal to bring the mobile domain and frequency dispersion problems, bandwidth resources restricted and transmission delay increases and so on. In this paper, the use of Class R-Tree data structure to store the data on the basis of historical trajectory, the update query results by the beach line iterative way to solve the problem of nearest neighbor queries efficiently update existing intermediate results.

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49

A. Adeniji, Kehinde, Nazmat T. Surajudeen-Bakinde, Olusegun O. Omitola, and Adedayo Ajibade. "Validation of android-based mobile application for retrieving network signal level." Indonesian Journal of Electrical Engineering and Computer Science 21, no. 1 (January 1, 2021): 296. http://dx.doi.org/10.11591/ijeecs.v21.i1.pp296-304.

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<p><span>In recent years, the evolvement of mobile devices which perform sophisticated functions have been on the rise. Mobile applications which solved engineering challenges are now available due to the high computational capabilities, large random access memory and storage location of the mobile devices. An Android application called signal detect, which measures network signal strength value from 2G-4G received on an android mobile device has been developed using android app development environment called Android studio. Validation becomes necessary because different readings were obtained on smartphones with different specifications. Two validation techniques were used to validate the data obtained. To know the efficiency of the application; a field strength meter was used to compare the readings received on the mobile device with the meter. It was observed that there is a time lag on the received values of the mobile device to the field strength meter. Therefore, a moving average technique was used to correlate the two data which increased the correlation coefficient to about 0.85.</span></p>

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Olesiński, Adam, and Zbigniew Piotrowski. "An Adaptive Energy Saving Algorithm for an RSSI-Based Localization System in Mobile Radio Sensors." Sensors 21, no. 12 (June 9, 2021): 3987. http://dx.doi.org/10.3390/s21123987.

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In localization systems based on the emission of reference radio signals, an important issue related to the reliability of sensor operation is the problem of operating time and power of the emitted reference radio signal. There are many localization methods that have proven useful in practice and that use a reference radio signal for this purpose. In the issue of determining the location of radio emitters, various radio signal propagation models are used to determine the effective range and distance of the sensor-receiver from the radio emitter. This paper presents an adaptive power control algorithm for a transmitter, as a reference emitter, operating in power-saving mode. An important advantage of the presented solution is the adjustment of the localization system accuracy at the assumed level of energy radiated by radio emitters based on the RSSI signal received power estimation.

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