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Journal articles on the topic 'Location awareness'

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Author: Grafiati
Published: 4 June 2021
Last updated: 21 February 2023

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1

Schmandt, C., and N. Marmasse. "User-centered location awareness." Computer 37, no. 10 (October 2004): 110–11. http://dx.doi.org/10.1109/mc.2004.182.

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2

Liu, Xiong, and Hassan A. Karimi. "Location awareness through trajectory prediction." Computers, Environment and Urban Systems 30, no. 6 (November 2006): 741–56. http://dx.doi.org/10.1016/j.compenvurbsys.2006.02.007.

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3

BUTZ, ANDREAS. "BETWEEN LOCATION AWARENESS AND AWARE LOCATIONS: WHERE TO PUT THE INTELLIGENCE." Applied Artificial Intelligence 18, no. 6 (July 2004): 501–12. http://dx.doi.org/10.1080/08839510490462830.

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4

Conti, Andrea, Flavio Morselli, Zhenyu Liu, Stefania Bartoletti, Santiago Mazuelas, William C. Lindsey, and Moe Z. Win. "Location Awareness in Beyond 5G Networks." IEEE Communications Magazine 59, no. 11 (November 2021): 22–27. http://dx.doi.org/10.1109/mcom.221.2100359.

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5

Kovacevic, Aleksandra, Oliver Heckmann, Nicolas C. Liebau, and Ralf Steinmetz. "Location Awareness—Improving Distributed Multimedia Communication." Proceedings of the IEEE 96, no. 1 (January 2008): 131–42. http://dx.doi.org/10.1109/jproc.2007.909913.

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6

Chandra, Madhup, Mark T. Jones, and Thomas L. Martin. "E-Textiles for Autonomous Location Awareness." IEEE Transactions on Mobile Computing 6, no. 4 (April 2007): 367–80. http://dx.doi.org/10.1109/tmc.2007.51.

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7

LaMarca, Anthony, and Eyal de Lara. "Location Systems: An Introduction to the Technology Behind Location Awareness." Synthesis Lectures on Mobile and Pervasive Computing 3, no. 1 (January 2008): 1–122. http://dx.doi.org/10.2200/s00115ed1v01y200804mpc004.

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8

Watanabe, K., and S. Shimojo. "Inhibition of Return without Visual Awareness." Perception 25, no. 1_suppl (August 1996): 175. http://dx.doi.org/10.1068/v96l0509.

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When a cue and a target are successively presented at the same location, reaction times to discriminate the location of the target are longer than when they are at different locations (inhibition of return: IOR). We found that visual awareness of the cue was not necessary for IOR to occur. Both eyes dichoptically viewed 9 × 9 scattered arrays of vertical or horizontal line segments. To avoid effects of eye dominance and binocular rivalry, cue displays were presented briefly (33, 50, or 200 ms). Three types of cue displays were randomised: (i) no cue: horizontal segments for the left (right) eye and vertical segments for the right (left) eye; subjects perceived scattered binocularly-combined crosses, (ii) binocular (fusible) cue: displays for both eyes had cue elements (a horizontal or vertical segment popping out among orthogonal background segments) and identical interocularly; subjects easily perceived the cue; (iii) dichoptic cue: displays for both eyes had cues at the same location, but all the segments were interocularly orthogonal. Here, because of the brief presentation that horizontal and vertical segments were just combined binocularly, and subjects could see only scattered crosses. Thus, they could not be aware of the cue, which exists at the monocular level. After the cue display disappeared, the target displays [same as the cue display in (ii), but with an independent location of the pop-out target] were presented (ISI=400, 800, or 1200 ms). Reaction time to discriminate location of the target was measured for three subjects who fixated on a fixation point. In our results, IOR took place in conditions (ii) and (iii). This suggests that localisation of the cue occurs without visual awareness, which then leads to IOR.
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Yang, Weicai, Qing Chang, Hui Li, Yang Gao, and Lina Bao. "Location awareness method for spot beam emitters." IET Radar, Sonar & Navigation 12, no. 12 (December 2018): 1493–99. http://dx.doi.org/10.1049/iet-rsn.2018.5290.

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10

Yen, Tan Shiang, Mohd Azam Osman, Ng Poh Sing, Tan Chee Yong, and Steven Chan. "Infrastructure Damage Reporting System with Location Awareness." Applied Mechanics and Materials 284-287 (January 2013): 2391–95. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2391.

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Complaints reported by the public about faulty or damaged infrastructure are important information for the management and maintenance team. Nonetheless, existing system to manage the complaint reports often has the problem of insufficient and ambiguous description about the reported infrastructure which resulting difficulties for the management to take action. The troublesome process of filing a complaint report could have reduced the willingness of public to make a report. Therefore, this paper is to introduce solution to the situation through an infrastructure damage complaining system with location awareness and photo capturing capabilities. The proposed system has been developed and thus the purpose of this paper is to introduce the system from the perspective of system design and architecture and to discuss the practical implications of the system. The proposed system provides an instant and convenient approach for the public to file a complaint report about damaged or faulty infrastructure. The public only need to take a photo with their mobile device and the system will automatically embed the coordination of the facility into the photo with geo-tagging technique. The simplified process of filing a complaint report may encourage the public to be more willing to collaborate with management. The visual information in the photo and location of the facility provide useful for the management team to accurately assess the severity of the damage thus to be able take informed action. As the outcome, the proposed system helps to achieve more effective and efficient management of public infrastructure.
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11

Kim, Jung-Hyun, Hyeong-Joon Kwon, and Kwang-Seok Hong. "Location awareness-based intelligent multi-agent technology." Multimedia Systems 16, no. 4-5 (May 15, 2010): 275–92. http://dx.doi.org/10.1007/s00530-010-0194-9.

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12

Chiaraviglio, Luca, Sana Ben Jemaa, Augustin Alexandru Saucan, and Tingting Zhang. "Guest Editorial: Location Awareness for 5G and Beyond." IEEE Communications Magazine 59, no. 11 (November 2021): 14. http://dx.doi.org/10.1109/mcom.2021.9665422.

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13

MING, Liang, Gang ZHAO, Gui-Hai XIE, and Chun-Lei WANG. "Research on Smart Space Oriented Location Awareness Method." Journal of Software 20, no. 3 (March 20, 2009): 671–81. http://dx.doi.org/10.3724/sp.j.1001.2009.03228.

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14

Nicolaci-da-Costa, Ana Maria, and Mariana Santiago de Matos-Silva. "Smartphones and Location Awareness in Brazil: Users’ Reactions." Paidéia (Ribeirão Preto) 24, no. 57 (April 2014): 115–23. http://dx.doi.org/10.1590/1982-43272457201414.

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The general objective of this study was to gain detailed information on how Brazilians are using the many features of their smartphones according to their own accounts. Among these features, of particular interest were the ways in which they react to and deal with the novelty presented by location awareness, especially in LBSN applications. A qualitative research guided by the Underlying Discourse Unveiling Method (UDUM) was carried out. Fifteen knowledgeable users of digital technologies aged between 23 and 38 were recruited in Rio de Janeiro and São Paulo. Open-ended-question interviews were conducted with each. Results revealed that location-sharing reinforced their pre-existing fears related to violence and criminality. They knew that criminals may have access to these technologies. Therefore, in order to protect their personal safety most participants avoided location-disclosure. The fears mentioned by them are embedded in the violent context they live in.
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15

Davoudi, Vahid, Salwani Mohd Daud, Mahdieh Abosadeghi, and Meysam Ahmadi Oskooei. "Improved Indoors Location Awareness Architecture in Mobile Phones." Advanced Science Letters 20, no. 10 (October 1, 2014): 2078–81. http://dx.doi.org/10.1166/asl.2014.5616.

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16

Sandoval Reyes, Sergio, and Victor Hugo Herver Segura. "Android App of Location Awareness Using Li-Fi." Research in Computing Science 118, no. 1 (December 31, 2016): 107–14. http://dx.doi.org/10.13053/rcs-118-1-10.

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17

Yunhao Liu, Li Xiao, Xiaomei Liu, L. M. Ni, and Xiaodong Zhang. "Location awareness in unstructured peer-to-peer systems." IEEE Transactions on Parallel and Distributed Systems 16, no. 2 (February 2005): 163–74. http://dx.doi.org/10.1109/tpds.2005.21.

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18

Filjar, Renato, Gordan Jezic, and Maja Matijasevic. "Location-Based Services: A Road Towards Situation Awareness." Journal of Navigation 61, no. 4 (October 2008): 573–89. http://dx.doi.org/10.1017/s0373463308004864.

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With the widespread use of mobile devices and increased demand for mobile services, Location-Based Services (LBS) represent a promising addition to service offerings of network operators as well as third-party service providers. Based on long-term research in LBS, our group has proposed a generic Enhanced LBS Reference Model (ELRM), which describes the concept, the architecture and the functionalities of the LBS. In addition, an evolutionary information process has been identified within the LBS, that represents knowledge maturity from position awareness to situation awareness. Both the ELRM and the information evolution process in LBS are presented in this article and illustrated by a case study within the framework of the 3GPP-standardised IP Multimedia Subsystem (IMS). This case-study emphasises the opportunities for navigation- and LBS-related solutions development provided by modern telecommunication technologies.
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19

Yu-Chee Tseng, Shih-Lin Wu, Wen-Hwa Liao, and Chih-Min Chao. "Location awareness in ad hoc wireless mobile networks." Computer 34, no. 6 (June 2001): 46–52. http://dx.doi.org/10.1109/2.928621.

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20

Ávila, Ignacio. "Evans on Bodily Awareness and Perceptual Self-Location." European Journal of Philosophy 22, no. 2 (March 26, 2012): 269–87. http://dx.doi.org/10.1111/j.1468-0378.2012.00525.x.

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21

Celebi, Hasari, and Huseyin Arslan. "Enabling location and environment awareness in cognitive radios." Computer Communications 31, no. 6 (April 2008): 1114–25. http://dx.doi.org/10.1016/j.comcom.2008.01.006.

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22

Priyanto, Moh Wahyudi, Jangkung Handoyo Mulyo, and Irham. "Comparison of Awareness and Perception of Climate Change between Proklim and Non-Proklim Farmers in Sleman District." E3S Web of Conferences 232 (2021): 04007. http://dx.doi.org/10.1051/e3sconf/202123204007.

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Program kampung iklim (Proklim) was launched by the Government to increase the implementation of the climate change adaptation strategy. The decision to adopt an adaptation strategy is influenced by farmers’ perceptions of climate change. This study aims to determine the level and compare the awareness of the climate change and perceptions of the climate change risks, among farmers from the Proklim and non-Proklim locations. The study was conducted in 3 sub-districts that have Proklim location, in Sleman Regency. By using the simple random sampling method, a total of 112 farmers were selected from the Proklim and non-Proklim locations in the same proportion. The results showed that the Proklim and non-Proklim locations were dominated by farmers with an awareness of climate change and perceptions of climate change risks at a moderate level. Other findings showed that farmers from the Proklim location had a higher awareness of climate change compared with non-Proklim farmers, with a difference of awareness of 6.44%. Perceptions of climate change risk among farmers from the two locations didn’t show significant differences.
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23

Park, Sung-Suk, and Yon-Sik Lee. "Location Tracking based on MS-Based/Assisted Location Trigger Model with Context-Awareness." Journal of the Korea Society of Computer and Information 21, no. 6 (June 30, 2016): 63–69. http://dx.doi.org/10.9708/jksci.2016.21.6.063.

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24

Zhu, Xinwei, Jan Recker, Guobin Zhu, and Flávia Maria Santoro. "Exploring location-dependency in process modeling." Business Process Management Journal 20, no. 6 (October 28, 2014): 794–815. http://dx.doi.org/10.1108/bpmj-06-2013-0066.

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Purpose – Context-awareness has emerged as an important principle in the design of flexible business processes. The goal of the research is to develop an approach to extend context-aware business process modeling toward location-awareness. The purpose of this paper is to identify and conceptualize location-dependencies in process modeling. Design/methodology/approach – This paper uses a pattern-based approach to identify location-dependency in process models. The authors design specifications for these patterns. The authors present illustrative examples and evaluate the identified patterns through a literature review of published process cases. Findings – This paper introduces location-awareness as a new perspective to extend context-awareness in BPM research, by introducing relevant location concepts such as location-awareness and location-dependencies. The authors identify five basic location-dependent control-flow patterns that can be captured in process models. And the authors identify location-dependencies in several existing case studies of business processes. Research limitations/implications – The authors focus exclusively on the control-flow perspective of process models. Further work needs to extend the research to address location-dependencies in process data or resources. Further empirical work is needed to explore determinants and consequences of the modeling of location-dependencies. Originality/value – As existing literature mostly focusses on the broad context of business process, location in process modeling still is treated as “second class citizen” in theory and in practice. This paper discusses the vital role of location-dependencies within business processes. The proposed five basic location-dependent control-flow patterns are novel and useful to explain location-dependency in business process models. They provide a conceptual basis for further exploration of location-awareness in the management of business processes.
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25

Yi, Aaron Ling Chi, and Dae-Ki Kang. "Experimental Analysis of Friend-And-Native Based Location Awareness for Accurate Collaborative Filtering." Applied Sciences 11, no. 6 (March 11, 2021): 2510. http://dx.doi.org/10.3390/app11062510.

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Location-based recommender systems have gained a lot of attention in both commercial domains and research communities where there are various approaches that have shown great potential for further studies. However, there has been little attention in previous research on location-based recommender systems for generating recommendations considering the locations of target users. Such recommender systems sometimes recommend places that are far from the target user’s current location. In this paper, we explore the issues of generating location recommendations for users who are traveling overseas by taking into account the user’s social influence and also the native or local expert’s knowledge. Accordingly, we have proposed a collaborative filtering recommendation framework called the Friend-And-Native-Aware Approach for Collaborative Filtering (FANA-CF), to generate reasonable location recommendations for users. We have validated our approach by systematic and extensive experiments using real-world datasets collected from Foursquare TM. By comparing algorithms such as the collaborative filtering approach (item-based collaborative filtering and user-based collaborative filtering) and the personalized mean approach, we have shown that our proposed approach has slightly outperformed the conventional collaborative filtering approach and personalized mean approach.
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26

de Souza e Silva, Adriana. "Location-aware mobile technologies: Historical, social and spatial approaches." Mobile Media & Communication 1, no. 1 (January 2013): 116–21. http://dx.doi.org/10.1177/2050157912459492.

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With the popularization of smartphones, location-based services are increasingly part of everyday life. People use their cell phones to find nearby restaurants and friends in the vicinity, and track their children. Although location-based services have received sparse attention from mobile communication scholars to date, the ability to locate people and things with one’s cell phone is not new. Since the removal of GPS signal degradation in 2000, artists and researchers have been exploring how location-awareness influences mobility, spatiality, and sociability. Besides exploring the historical antecedents of today’s location-based services, this article focuses on the main social issues that emerge when location-aware technologies leave the strict domain of art and research and become part of everyday life: locational privacy, sociability, and spatiality. Finally, this article addresses two main topics that future mobile communication research that focuses on location-awareness should take into consideration: a shift in the meaning of location, and the adoption and appropriation of location-aware technologies in the global south.
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27

Yang, Weicai, Qing Chang, Allison Kealy, Yong Xu, and Tianyi Lan. "A Novel Location-Awareness Method Using CubeSats for Locating the Spot Beam Emitters of Geostationary Communications Satellites." Mathematical Problems in Engineering 2018 (2018): 1–9. http://dx.doi.org/10.1155/2018/8035093.

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As more spacecraft are launched into the Geostationary Earth Orbit (GEO) belt, the possibility of fatal collisions or unnecessary interference between spacecraft increases. In this paper, a new location-awareness method that uses CubeSats is proposed to assist with radiofrequency (RF) domain verification by means of awareness and identification of the positions of the spot beam emitters of communications satellites in geostationary orbit. By flying a CubeSat (or a constellation of CubeSats) through the coverage area of a spot beam, the spot beam emitter’s position is identified and the spot beam’s pattern knowledge is characterized. The geometry, the equations of motion of the spacecraft, the measurement process, and the filtering equations in a location system are addressed with respect to the location methods investigated in this study. A realistic scenario in which a CubeSat receives signals from GEO communications satellites is simulated using the Systems Tool Kit (STK). The results of the simulation and the analysis presented in this study provide a thorough verification of the performance of the location-awareness method.
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28

Liu, Bao You, and Ya Ru Liu. "Location Selection Problem of Urban Residents' Environmental Awareness Campaign." Applied Mechanics and Materials 507 (January 2014): 769–72. http://dx.doi.org/10.4028/www.scientific.net/amm.507.769.

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In this paper, a location selection problem of urban residents' environmental awareness campaign was studied. Firstly, a 0-1 type integer programming model was established based on the initial conditions of simplification and assumptions. Secondly, the model was solved by using lingo12.0 software. Thirdly, the effectiveness and application scope of the model were also analyzed. The results showed that model is reliable and practical for the kind of problem, and the conclusions can provide reference for the relevant decision-making departments.
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29

Abdelmoty, Alia I., and Fatma Alrayes. "Towards Understanding Location Privacy Awareness on Geo-Social Networks." ISPRS International Journal of Geo-Information 6, no. 4 (April 5, 2017): 109. http://dx.doi.org/10.3390/ijgi6040109.

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30

Li, Lei, Yuquan Zhu, Tao Cai, Dejiao Niu, Huaji Shi, and Tingting Zou. "A Temporal Pool Learning Algorithm Based on Location Awareness." Scientific Programming 2021 (June 10, 2021): 1–12. http://dx.doi.org/10.1155/2021/9956244.

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Hierarchical Temporal Memory is a new type of artificial neural network model, which imitates the structure and information processing flow of the human brain. Hierarchical Temporal Memory has strong adaptability and fast learning ability and becomes a hot spot in current research. Hierarchical Temporal Memory obtains and saves the temporal characteristics of input sequences by the temporal pool learning algorithm. However, the current algorithm has some problems such as low learning efficiency and poor learning effect when learning time series data. In this paper, a temporal pool learning algorithm based on location awareness is proposed. The cell selection rules based on location awareness and the dendritic updating rules based on adjacent inputs are designed to improve the learning efficiency and effect of the algorithm. Through the algorithm prototype, three different datasets are used to test and analyze the algorithm performance. The experimental results verify that the algorithm can quickly obtain the complete characteristics of the input sequence. No matter whether there are similar segments in the sequence, the proposed algorithm has higher prediction recall and precision than the existing algorithms.
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31

Celebi, Hasari, Ismail Guvenc, Sinan Gezici, and Huseyin Arslan. "Cognitive-Radio Systems for Spectrum, Location, and Environmental Awareness." IEEE Antennas and Propagation Magazine 52, no. 4 (August 2010): 41–61. http://dx.doi.org/10.1109/map.2010.5638235.

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32

Nova, Nicolas, Fabien Girardin, and Pierre Dillenbourg. "The effects of mutual location-awareness on group coordination." International Journal of Human-Computer Studies 68, no. 7 (July 2010): 451–67. http://dx.doi.org/10.1016/j.ijhcs.2009.12.007.

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33

Tesoriero, R., R. Tebar, J. A. Gallud, M. D. Lozano, and V. M. R. Penichet. "Improving location awareness in indoor spaces using RFID technology." Expert Systems with Applications 37, no. 1 (January 2010): 894–98. http://dx.doi.org/10.1016/j.eswa.2009.05.062.

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34

Braude, Stephen E. "Does awareness require a location?: A response to Woodhouse." New Ideas in Psychology 12, no. 1 (March 1994): 17–21. http://dx.doi.org/10.1016/0732-118x(94)90052-3.

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35

Saleem, Muaz, Mobasher Ali, and Asad Ali. "Location Awareness Impact on Long Term Evolution (LTE) System." International Journal of Computer Applications 135, no. 3 (February 17, 2016): 31–36. http://dx.doi.org/10.5120/ijca2016908285.

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36

Asy'ari, Fajar Husain, Hazriani Hazriani, and Abdul Latief Arda. "SISTEM PERINGATAN TITIK RAWAN TINDAK KRIMINAL BERBASIS LOCATION AWARENESS." JIKO (Jurnal Informatika dan Komputer) 7, no. 1 (February 6, 2023): 110. http://dx.doi.org/10.26798/jiko.v7i1.736.

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37

Pan, Z. A., and J. X. Zhu. "Context Awareness on Mobile Devices." Applied Mechanics and Materials 743 (March 2015): 742–47. http://dx.doi.org/10.4028/www.scientific.net/amm.743.742.

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Context aware computing is important for applications to provide smarter and safer<br />service to mobile users, especially when users’ context changing rapidly or regularly. In this paper,<br />we propose a context aware model for mobile devices based on audio and location. The information<br />can easily obtained from sensors, e.g., microphones and GPS. Thus, exploiting the MFCC features<br />and the location, a Bayes Net is trained and built and will be used for context classifying in the<br />real-time classification. The results of experiments implemented on Android 4.0 platform<br />demonstrate promising performance, which indicates that the model is able to support real<br />applications.
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38

Ssekamanya, S. A., Mastura Badzis, Khamsiah Ismail, and Dayang Shuzaidah Bt Abduludin. "Predictors of School Safety Awareness Among Malaysian Primary School Teachers." European Journal of Social Sciences Education and Research 6, no. 1 (April 30, 2016): 88. http://dx.doi.org/10.26417/ejser.v6i1.p88-93.

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With rising incidents of school violence worldwide, educators and researchers are trying to understand and find ways to enhance the safety of children at school. The purpose of this study was to investigate the extent to which the demographic variables of gender, age, length of service, position, academic qualification, and school location predicted teachers’ awareness about school safety practices in Malaysian primary schools. A stratified random sample of 380 teachers was selected in the central Malaysian states of Kuala Lumpur and Selangor. Multiple regression analysis revealed that none of the factors was a good predictor of awareness about school safety training, delivery methods of school safety information, and available school safety programs. Awareness about school safety activities was significantly predicted by school location (whether the school was located in a rural or urban area). While these results may reflect a general lack of awareness about school safety among primary school teachers in the selected locations, a national study needs to be conducted for the whole country.
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PANAGIOTAKIS, SPYROS, MARIA KOUTSOPOULOU, and ATHANASSIA ALONISTIOTI. "CONTEXT-AWARENESS AND USER PROFILING IN MOBILE ENVIRONMENTS." International Journal of Semantic Computing 03, no. 03 (September 2009): 331–63. http://dx.doi.org/10.1142/s1793351x09000811.

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The evolution of mobile communication systems to 3G and beyond introduces requirements for flexible, customized, and ubiquitous multimedia service provision to mobile users. One must be able to know at any given time the network status, the user location, the profiles of the various entities (users, terminals, network equipment, services) involved and the policies that are employed within the system. Namely, the system must be able to cope with a large amount of context information. The present paper focuses on location and context awareness in service provisioning and proposes a flexible and innovative model for user profiling. The innovation is based on the enrichment of common user profiling architectures to include location and other contextual attributes, so that enhanced adaptability and personalization can be achieved. For each location and context instance an associated User Profile instance is created and hence, service provisioning is adapted to the User Profile instance that better apply to the current context. The generic model, the structure and the content of this location- and context-sensitive User Profile, along with some related implementation issues, are discussed.
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40

Vu, Trung Kien, and Sungoh Kwon. "Mobility-Assisted on-Demand Routing Algorithm for MANETs in the Presence of Location Errors." Scientific World Journal 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/790103.

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We propose a mobility-assisted on-demand routing algorithm for mobile ad hoc networks in the presence of location errors. Location awareness enables mobile nodes to predict their mobility and enhances routing performance by estimating link duration and selecting reliable routes. However, measured locations intrinsically include errors in measurement. Such errors degrade mobility prediction and have been ignored in previous work. To mitigate the impact of location errors on routing, we propose an on-demand routing algorithm taking into account location errors. To that end, we adopt the Kalman filter to estimate accurate locations and consider route confidence in discovering routes. Via simulations, we compare our algorithm and previous algorithms in various environments. Our proposed mobility prediction is robust to the location errors.
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41

Lambert, Anthony J., and Alexander L. Sumich. "Spatial Orienting Controlled without Awareness: A Semantically Based Implicit Learning Effect." Quarterly Journal of Experimental Psychology Section A 49, no. 2 (May 1996): 490–518. http://dx.doi.org/10.1080/713755621.

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Three experiments tested whether spatial attention can be influenced by a predictive relation between incidental information and the location of target events. Subjects performed a simple dot detection task; 600 msec prior to each target a word was presented briefly 5° to the left or right of fixation. There was a predictive relationship between the semantic category (living or non-living) of the words and target location. However, subjects were instructed to ignore the words, and a post-experiment questionnaire confirmed that they remained unaware of the word-target relationship. In all three experiments, given some practice on the task, response times were faster when targets appeared at likely ( p = 0.8), compared to unlikely ( p = 0.2) locations, in relation to lateral word category. Experiments 2 and 3 confirmed that this effect was driven by semantic encoding of the irrelevant words, and not by repetition of individual stimuli. Theoretical implications of this finding are discussed.
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42

Zhang, Zhijun, Huali Pan, Gongwen Xu, Yongkang Wang, and Pengfei Zhang. "A Context-Awareness Personalized Tourist Attraction Recommendation Algorithm." Cybernetics and Information Technologies 16, no. 6 (December 1, 2016): 146–59. http://dx.doi.org/10.1515/cait-2016-0084.

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Abstract With the rapid development of social networks, location based social network gradually rises. In order to retrieve user’s most preferred attractions from a large number of tourism information, personalized recommendation algorithm based on the geographic location has been widely concerned in academic and industry. Aiming at the problem of low accuracy in personalized tourism recommendation system, this paper presents a personalized algorithm for tourist attraction recommendation – RecUFG Algorithm, which combines user collaborative filtering technology with friends trust relationships and geographic context. This algorithm fully exploits social relations and trust friendship between users, and by means of the geographic information between user and attraction location, recommends users most interesting attractions. Experimental results on real data sets demonstrate the feasibility and effectiveness of the algorithm. Compared with the existing recommendation algorithm, it has a higher prediction accuracy and customer satisfaction.
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43

Mine, Chisato, Takemasa Yokoyama, and Yuji Takeda. "Awareness is necessary for attentional biases by location–reward association." Attention, Perception, & Psychophysics 83, no. 5 (March 23, 2021): 2002–16. http://dx.doi.org/10.3758/s13414-021-02280-7.

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Kim, Hye-Jin. "Context-Awareness Technology for Location Based-Service for Ubiquitous Learning." Journal of the Korea Academia-Industrial cooperation Society 12, no. 11 (November 30, 2011): 4869–74. http://dx.doi.org/10.5762/kais.2011.12.11.4869.

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Win, Moe Z., Ziyi Wang, Zhenyu Liu, Yuan Shen, and Andrea Conti. "Location Awareness Via Intelligent Surfaces: A Path Toward Holographic NLN." IEEE Vehicular Technology Magazine 17, no. 2 (June 2022): 37–45. http://dx.doi.org/10.1109/mvt.2022.3157067.

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OZTOPRAK, K. "Mobile Subscriber Profiling and Personal Service Generation using Location Awareness." Advances in Electrical and Computer Engineering 18, no. 3 (2018): 105–12. http://dx.doi.org/10.4316/aece.2018.03014.

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Li, Fangwei, Zhuxun Peng, and Jiang Zhu. "Informed spectrum usage Based on Location-awareness in Cognitive Networks." EAI Endorsed Transactions on Cognitive Communications 2, no. 6 (April 5, 2016): 151146. http://dx.doi.org/10.4108/eai.5-4-2016.151146.

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Yeon, Sun-Jung, Hye-Jeong Hwang, and Sang-Yong Lee. "Scheduling Management Agent using Bayesian Network based on Location Awareness." Journal of Korean Institute of Intelligent Systems 21, no. 6 (December 25, 2011): 712–17. http://dx.doi.org/10.5391/jkiis.2011.21.6.712.

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Noh, Hyun-Yong, Jin-Hyung Lee, Sae-Won Oh, Keum-Sung Hwang, and Sung-Bae Cho. "Exploiting indoor location and mobile information for context-awareness service." Information Processing & Management 48, no. 1 (January 2012): 1–12. http://dx.doi.org/10.1016/j.ipm.2011.02.005.

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Tsai, Ang-Hsun, Li-Chun Wang, Jane-Hwa Huang, and Ruey-Bing Hwang. "High-Capacity OFDMA Femtocells by Directional Antennas and Location Awareness." IEEE Systems Journal 6, no. 2 (June 2012): 329–40. http://dx.doi.org/10.1109/jsyst.2011.2178724.

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