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Journal articles on the topic 'Location-aware platform'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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1

Ho, Yao, Yao Wu, and Meng Chen. "PLASH: a platform for location aware services with human computation." IEEE Communications Magazine 48, no. 12 (2010): 44–51. http://dx.doi.org/10.1109/mcom.2010.5673071.

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Jian, Ming Shen, Ta Yuan Chou, and Shu Hui Hsu. "Mobility corresponding location-aware information services based on embedded RFID platform." International Journal of Ad Hoc and Ubiquitous Computing 9, no. 2 (2012): 122. http://dx.doi.org/10.1504/ijahuc.2012.045553.

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De Nardis, Luca De, Giuseppe Caso, and Maria Gabriella Di Benedetto. "ThingsLocate: A ThingSpeak-Based Indoor Positioning Platform for Academic Research on Location-Aware Internet of Things." Technologies 7, no. 3 (2019): 50. http://dx.doi.org/10.3390/technologies7030050.

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Seamless location awareness is considered a cornerstone in the successful deployment of the Internet of Things (IoT). Support for IoT devices in indoor positioning platforms and, vice versa, availability of indoor positioning functions in IoT platforms, are however still in their early stages, posing a significant challenge in the study and research of the interaction of indoor positioning and IoT. This paper proposes a new indoor positioning platform, called ThingsLocate, that fills this gap by building upon the popular and flexible ThingSpeak cloud service for IoT, leveraging its data input
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Rodríguez-Pupo, Luis, Carlos Granell, and Sven Casteleyn. "An Analytics Platform for Integrating and Computing Spatio-Temporal Metrics." ISPRS International Journal of Geo-Information 8, no. 2 (2019): 54. http://dx.doi.org/10.3390/ijgi8020054.

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In large-scale context-aware applications, a central design concern is capturing, managing and acting upon location and context data. The ability to understand the collected data and define meaningful contextual events, based on one or more incoming (contextual) data streams, both for a single and multiple users, is hereby critical for applications to exhibit location- and context-aware behaviour. In this article, we describe a context-aware, data-intensive metrics platform —focusing primarily on its geospatial support—that allows exactly this: to define and execute metrics, which capture mean
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Manabe, Yusuke, and Kenji Sugawara. "Sitting Posture Recognition and Location Estimation for Human-Aware Environment." International Journal of Software Science and Computational Intelligence 3, no. 1 (2011): 34–49. http://dx.doi.org/10.4018/jssci.2011010103.

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Realization of human-computer symbiosis is an important idea in the context of ubiquitous computing. Symbiotic Computing is a concept that bridges the gap between situations in Real Space (RS) and data in Digital Space (DS). The main purpose is to develop an intelligent software application as well as establish the next generation information platform to develop the symbiotic system. In this paper, the authors argue that it is necessary to build ’Mutual Cognition’ between human and system. Mutual cognition consists of two functions: ’RS Cognition’ and ’DS Cognition’. This paper examines RS Cog
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Adam Matei, Sorin. "Visible Past: A location and attention aware learning and discovery environment for digital humanities." International Journal of Humanities and Arts Computing 3, no. 1-2 (2009): 163–74. http://dx.doi.org/10.3366/ijhac.2009.0014.

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Visible Past is a cross-platform, scalable research and learning environment. Its primary aim is to help students and scholars experience and communicate with fully immersive, historically accurate models of past geographic realities or to relate information to specific real geographic locations. It also includes location-aware capabilities and in the future will include attention-aware learning scenario.
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Govoni, M., J. Michaelis, A. Morelli, N. Suri, and M. Tortonesi. "An Information-Centric Platform for Social- and Location-Aware IoT Applications in Smart Cities." EAI Endorsed Transactions on Internet of Things 3, no. 9 (2017): 153049. http://dx.doi.org/10.4108/eai.31-8-2017.153049.

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Lin, Phone, Chih-Yuan Tsai, and Yeng-Cheng Lai. "A SIP-based mobility management platform for WLAN location-aware broadcasting and multicasting applications." Wireless Communications and Mobile Computing 5, no. 6 (2005): 647–63. http://dx.doi.org/10.1002/wcm.333.

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Nicklas, Daniela, and Bernhard Mitschang. "On building location aware applications using an open platform based on the NEXUS Augmented World Model." Software and Systems Modeling -1, no. 1 (2003): 1. http://dx.doi.org/10.1007/s10270-004-0055-0.

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10

Cho, Yongseong, Jongsun Choi, Jaeyoung Choi, and Young-Jae Ryoo. "Robot Software Platform for IoT-Based Context-Awareness." International Journal of Humanoid Robotics 14, no. 02 (2017): 1750012. http://dx.doi.org/10.1142/s0219843617500128.

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As Internet of Things (IoT)-based sensors have emerged recently, new technologies are being developed for users to provide suitable services by recognizing the surrounding situations. In the service robot sector, many researches are being carried out in order to exploit the collected data from IoT-based sensors. In addition, researches on robot middleware using context information are actively performed. In this paper, we propose a robot SW platform, which provides IoT-based context-aware services. This robot software platform consists of Ontology Agent, Robot Service Execution Engine, and Con
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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
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Li, Wenchao, Xin Liu, Chenggang Yan, Guiguang Ding, Yaoqi Sun, and Jiyong Zhang. "STS: Spatial–Temporal–Semantic Personalized Location Recommendation." ISPRS International Journal of Geo-Information 9, no. 9 (2020): 538. http://dx.doi.org/10.3390/ijgi9090538.

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The rapidly growing location-based social network (LBSN) has become a promising platform for studying users’ mobility patterns. Many online applications can be built based on such studies, among which, recommending locations is of particular interest. Previous studies have shown the importance of spatial and temporal influences on location recommendation; however, most existing approaches build a universal spatial–temporal model for all users despite the fact that users always demonstrate heterogeneous check-in behavior patterns. In order to realize truly personalized location recommendations,
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Lu, Yi, Mikhail Gerasimenko, Roman Kovalchukov, et al. "Feasibility of Location-Aware Handover for Autonomous Vehicles in Industrial Multi-Radio Environments." Sensors 20, no. 21 (2020): 6290. http://dx.doi.org/10.3390/s20216290.

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The integration of millimeter wave (mmWave) and low frequency interfaces brings an unique opportunity to unify the communications and positioning technologies in the future wireless heterogeneous networks (HetNets), which offer great potential for efficient handover using location awareness, hence a location-aware handover (LHO). Targeting a self-organized communication system with autonomous vehicles, we conduct and describe an experimental and analytical study on the LHO using a mmWave-enabled robotic platform in a multi-radio environment. Compared to the conventional received signal strengt
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Abdul Razak, Noor Thuwaibah, Huda A. Majid, Faiz Asraf Saparuddin, Muhamad Fitry Abdul Jalil, Muhamad Shakry Jamaluddin Jalil, and Mohd Hazmi Mokhtar. "The Ground Control Station Design For Can-Sized Satellite (CanSAT) System." International Journal of Advanced Technology in Mechanical, Mechatronics and Materials 1, no. 2 (2020): 76–82. http://dx.doi.org/10.37869/ijatec.v1i2.24.

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Nowadays, Natural disaster tragedy is now one of the world's biggest concerns. Can-sized satellite, MedSAT: Location-Aware CanSAT for On-Site Emergency Medical Supplies develop a platform for finding direction and accurately locating an emergency patient and providing emergency medical supplies such as bandages, antiseptic wipes, sterile gauze pads of various sizes, insulin, pills, syringe and antivenom, as well as real-time visual feed for medical diagnosis during and after landing. This project focuses on the design of MedSAT and provides a real-time system to capture MedSAT’s real-time data
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15

Niu, Long, Sachio Saiki, Shinsuke Matsumoto, and Masahide Nakamura. "WIF4InL: Web-based integration framework for Indoor location." International Journal of Pervasive Computing and Communications 12, no. 1 (2016): 49–65. http://dx.doi.org/10.1108/ijpcc-01-2016-0009.

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Purpose The purpose of this paper is to establish an application platform that addresses expensive development cost and effort of indoor location-aware application (InL-Apps) problems caused by tightly coupling between InL-App and indoor positioning systems (IPSs). Design/methodology/approach To achieve this purpose, in this paper, the authors proposes a Web-based integration framework called Web-based Integration Framework for Indoor Location (WIF4InL). With a common data model, WIF4InL integrates indoor location data obtained from heterogeneous IPS. It then provides application-neutral appli
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16

Perera, Charith, Dumidu S. Talagala, Chi Harold Liu, and Julio C. Estrella. "Energy-Efficient Location and Activity-Aware On-Demand Mobile Distributed Sensing Platform for Sensing as a Service in IoT Clouds." IEEE Transactions on Computational Social Systems 2, no. 4 (2015): 171–81. http://dx.doi.org/10.1109/tcss.2016.2515844.

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17

Purnomo W.P., Yohanes Sigit, Theresia Devi Indriasari, Kusworo Anindito, Yoshua Andrean, and Jaka Galih Prasetyo. "CrimeID: Towards Crime Prevention and Community Safety in Indonesia using Mobile and Web Technology." International Journal of Interactive Mobile Technologies (iJIM) 13, no. 09 (2019): 52. http://dx.doi.org/10.3991/ijim.v13i09.10172.

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The rate of crime incidence in Indonesia is quite high. Some efforts to prevent crime and to create community safety have been already conducted. However, the information technology has not been implemented yet. CrimeID could be a technology tool for both individual and collective crime prevention. The citizen could participate individually as a crowd to annotate the crime data from news article through the crowdsourcing platform using gamification concept. The collected data could be used to raise the awareness among community members of the crime that happens surrounding them by using the lo
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18

Nanda, Vedant, Pan Xu, Karthik Abhinav Sankararaman, John Dickerson, and Aravind Srinivasan. "Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 02 (2020): 2210–17. http://dx.doi.org/10.1609/aaai.v34i02.5597.

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Rideshare platforms, when assigning requests to drivers, tend to maximize profit for the system and/or minimize waiting time for riders. Such platforms can exacerbate biases that drivers may have over certain types of requests. We consider the case of peak hours when the demand for rides is more than the supply of drivers. Drivers are well aware of their advantage during the peak hours and can choose to be selective about which rides to accept. Moreover, if in such a scenario, the assignment of requests to drivers (by the platform) is made only to maximize profit and/or minimize wait time for
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19

Pérez-Torres, Rafael, César Torres-Huitzil, and Hiram Galeana-Zapién. "A Cognitive-Inspired Event-Based Control for Power-Aware Human Mobility Analysis in IoT Devices." Sensors 19, no. 4 (2019): 832. http://dx.doi.org/10.3390/s19040832.

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Mobile Edge Computing (MEC) relates to the deployment of decision-making processes at the network edge or mobile devices rather than in a centralized network entity like the cloud. This paradigm shift is acknowledged as one key pillar to enable autonomous operation and self-awareness in mobile devices in IoT. Under this paradigm, we focus on mobility-based services (MBSs), where mobile devices are expected to perform energy-efficient GPS data acquisition while also providing location accuracy. We rely on a fully on-device Cognitive Dynamic Systems (CDS) platform to propose and evaluate a cogni
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20

Wu, S., Y. Yan, Z. Du, F. Zhang, and R. Liu. "SPATIOTEMPORAL VISUALIZATION OF TIME-SERIES SATELLITE-DERIVED CO2 FLUX DATA USING VOLUME RENDERING AND GPU-BASED INTERPOLATION ON A CLOUD-DRIVEN DIGITAL EARTH." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W2 (October 19, 2017): 77–85. http://dx.doi.org/10.5194/isprs-annals-iv-4-w2-77-2017.

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The ocean carbon cycle has a significant influence on global climate, and is commonly evaluated using time-series satellite-derived CO<sub>2</sub> flux data. Location-aware and globe-based visualization is an important technique for analyzing and presenting the evolution of climate change. To achieve realistic simulation of the spatiotemporal dynamics of ocean carbon, a cloud-driven digital earth platform is developed to support the interactive analysis and display of multi-geospatial data, and an original visualization method based on our digital earth is proposed to demonstrate t
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Almonacid-Olleros, G., G. Almonacid, J. I. Fernandez-Carrasco, and Javier Medina Quero. "Opera.DL: Deep Learning Modelling for Photovoltaic System Monitoring." Proceedings 31, no. 1 (2019): 50. http://dx.doi.org/10.3390/proceedings2019031050.

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In this paper we present Deep Learning (DL) modelling to forecast the behaviour and energy production of a photovoltaic (PV) system. Using deep learning models rather than following the classical way (analytical models of PV systems) presents an outstanding advantage: context-aware learning for PV systems, which is independent of the deployment and configuration parameters of the PV system, its location and environmental conditions. These deep learning models were developed within the Ópera Digital Platform using the data of the UniVer Project, which is a standard PV system that was in place f
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Tessendorf, Bernd, Matjaz Debevc, Peter Derleth, et al. "Design of a multimodal hearing system." Computer Science and Information Systems 10, no. 1 (2013): 483–501. http://dx.doi.org/10.2298/csis120423012t.

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Hearing instruments (HIs) have become context-aware devices that analyze the acoustic environment in order to automatically adapt sound processing to the user?s current hearing wish. However, in the same acoustic environment an HI user can have different hearing wishes requiring different behaviors from the hearing instrument. In these cases, the audio signal alone contains too little contextual information to determine the user?s hearing wish. Additional modalities to sound can provide the missing information to improve the adaption. In this work, we review additional modalities to sound in H
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Caushaj, Eralda, Huirong Fu, Ishwar Sethi, et al. "Theoretical Analysis and Experimental Study." International Journal of Interdisciplinary Telecommunications and Networking 5, no. 2 (2013): 66–82. http://dx.doi.org/10.4018/jitn.2013040106.

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The importance of wireless cellular communication in our daily lives has grown considerably in the last decade. The smartphones are widely used nowadays, besides voice communication; the authors routinely use them to access the internet, conduct monetary transactions, send text messages and query a lot of useful information regarding the location of specific places of interest. The use of smartphones in their day-to-day communication raises many unresolved security and privacy issues. In this paper they identify relevant security attacks in Wireless Cellular Network. The authors conduct experi
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Bhardwaj, Akashdeep, and Sam Goundar. "Unique Taxonomy for Evaluating Fog Computing Services." International Journal of E-Business Research 14, no. 4 (2018): 78–90. http://dx.doi.org/10.4018/ijebr.2018100105.

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Cloud computing has slowly but surely become the foremost service provider for information technology applications and platform delivery. However, Cloud issues continue to exist, like cyberattacks, slow last mile latency, and clouds lack client-centric and location-aware applications to process real time data for efficient and customized application delivery. As an alternative, Fog Computing has the potential to resolve these issues by extending the Cloud service provider's reach to the edge of the Cloud network model, right up to the Cloud service consumer. This enables a whole new state of a
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Mustafa Kamal, Muhammad. "An analysis of e‐Participation research: moving from theoretical to pragmatic viewpoint." Transforming Government: People, Process and Policy 3, no. 4 (2009): 340–54. http://dx.doi.org/10.1108/17506160910997865.

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PurposeThe purpose of this paper is to analyse the research conducted in the area of electronic participation (e‐Participation).Design/methodology/approachThe paper investigates and assesses both theoretical and pragmatic findings published in the normative literature.FindingsThe synthesis of the research findings exemplifies that the foremost dominant research studies to e‐Participation advocated and conducted by several researchers are: theoretical perspective on e‐Participation; e‐Participation technological solutions; governance models in public administration; policy making lifecycle mode
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Gupta, Poonam, D. D. Shah, and K. V. V. Satyanarayana. "An IoT Framework for Addressing Parents Concerns about Safety of School Going Children." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 6 (2016): 3052. http://dx.doi.org/10.11591/ijece.v6i6.10448.

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<p>In this paper, we have proposed a novel application using Internet of things (IOT). This application is focused to address the concerns of the parents towards their school going kids. Mainly the concerns of the parents are to ensure the safety of their kids in school bus as well as at school premises. In this paper, we have tried to provide detailed technical implementation about how different sensing, communication technologies clubbing together provides a platform in terms of IoT, where proposed application can be implemented to ensure safety of school going children as it is the pr
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Gupta, Poonam, D. D. Shah, and K. V. V. Satyanarayana. "An IoT Framework for Addressing Parents Concerns about Safety of School Going Children." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 6 (2016): 3052. http://dx.doi.org/10.11591/ijece.v6i6.pp3052-3059.

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<p>In this paper, we have proposed a novel application using Internet of things (IOT). This application is focused to address the concerns of the parents towards their school going kids. Mainly the concerns of the parents are to ensure the safety of their kids in school bus as well as at school premises. In this paper, we have tried to provide detailed technical implementation about how different sensing, communication technologies clubbing together provides a platform in terms of IoT, where proposed application can be implemented to ensure safety of school going children as it is the pr
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28

Xing, Yulong, Yongrui Chen, Weidong Yi, and Chenghua Duan. "Time Synchronization for Wireless Sensor Networks Using Adaptive Linear Prediction." International Journal of Distributed Sensor Networks 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/917042.

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Time synchronization is a crucial component in wireless sensor networks (WSN), especially for location-aware applications. The precision of time-based localization algorithms is closely related to the accuracy of synchronization. The estimation of synchronization errors in most of the existing time synchronization algorithms is based on some statistical distribution models. However, these models may not be able to accurately describe the synchronization errors due to the uncertainties in clock drift and message delivery delay in synchronization. Considering that the synchronization errors are
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Rodriguez-Sanchez, M. Cristina, Luis Fernández-Jiménez, Antonio R. Jiménez, Joaquin Vaquero, Susana Borromeo, and Jose L. Lázaro-Galilea. "HelpResponder—System for the Security of First Responder Interventions." Sensors 21, no. 8 (2021): 2614. http://dx.doi.org/10.3390/s21082614.

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Firefighter’s interventions under dense smoke and flames are hazardous and ideally need an efficient in-advance geo-located actuation plan. The existing communication and sensing technologies should be customized, optimized, and integrated to better know the conditions (flame locations, air condition) before and during the rescue team’s interventions. In this paper, we propose a firefighter intervention architecture, which consists of several sensing devices (flame detectors, carbon dioxide air content) a navigation platform (an autonomous ground wheeled robot), and a communication/localizatio
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Furini, Marco. "Users Behavior in Location-Aware Services: Digital Natives versus Digital Immigrants." Advances in Human-Computer Interaction 2014 (2014): 1–23. http://dx.doi.org/10.1155/2014/678165.

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Location-aware services may expose users to privacy risks as they usually attach user’s location to the generated contents. Different studies have focused on privacy in location-aware services, but the results are often conflicting. Our hypothesis is that users are not fully aware of the features of the location-aware scenario and this lack of knowledge affects the results. Hence, in this paper we present a different approach: the analysis is conducted on two different groups of users (digital natives and digital immigrants) and is divided into two steps: (i) understanding users’ knowledge of
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31

Licoppe, Christian. "From Mogi to Pokémon GO: Continuities and change in location-aware collection games." Mobile Media & Communication 5, no. 1 (2016): 24–29. http://dx.doi.org/10.1177/2050157916677862.

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We compare here some features of the emerging uses of Pokémon GO with earlier, though less successful, location-aware collection games such as Mogi. While mobility patterns are relatively similar, Pokémon GO brings about a distinctive augmented-reality dimension to the game experience, though it does not harness the social networking power of such location-aware game platforms to the same extent as earlier games.
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Sander, Tom, Biruta Sloka, and Henrijs Kalkis. "The Trust of the Information from Employer Rating Platforms." International Journal of Web Portals 9, no. 1 (2017): 13–28. http://dx.doi.org/10.4018/ijwp.2017010102.

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Employer rating platforms are an important source of information for potential candidates to collect and provide information about the employer. The information is beneficial and different to official company information. The research investigates the reasons to use employer rating platforms by individuals. Trust is important for the exchange of information and use of employer rating platforms. The analysis of empirical data obtained in survey has been done with indicators of central tendency or location. For empirical data analysis it used ANOVA, t-test and Spearman correlation coefficient to
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Liu, Feng, Zhou Xu, Chuan Chao Zhang, Hai Jun Lu, and Xiao Xia Li. "Design and Implementation of a Context-Aware Based Classroom Inquiring System." Advanced Materials Research 756-759 (September 2013): 1270–74. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1270.

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Nowadays, smart phones and tablets have been getting more and more popular. Many applications in various mobile platforms can provide location based service to users but seldom take personalized information into consideration which is usually important for some kinds of applications. In order to solve the popular problem of searching a available classroom on campus to do individual study and provide students with personalized services, in this paper, we design and implementation of a context-aware based available classroom searching system-CACS, which can not only use the users location inform
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El Said, Ghada Refaat. "The Intention to Use Mobile Student Portal: A Mobile Human Computer Interaction Study in a University Context in Egypt." Mobile Information Systems 2018 (July 24, 2018): 1–8. http://dx.doi.org/10.1155/2018/1512602.

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Mobile devices are increasingly being used as platforms for interactive services. However, factors affecting adoption of mobile services in some specific contexts, such as student portals, are still underresearched. This paper reports thematic analyses of semistructured interviews conducted with 52 undergraduate users of mobile student portal in a developing country. The results uncover design features affecting the use of mobile student portals, such as (1) Content Sharing, comprising an Integrative Design to share posts from the mobile portal to social media, (2) Personalized Content and Not
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Jing, Nan, Yong Yao, and Yanbo Ru. "Modeling and Analyzing User Contexts for Mobile Advertising." International Journal of Handheld Computing Research 2, no. 3 (2011): 38–52. http://dx.doi.org/10.4018/jhcr.2011070103.

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Context-aware advertising is one of the most critical components in the Internet ecosystem today because most WWW publisher revenue highly depends on the relevance of the displayed advertisement to the context of the user interaction. Existing research work focuses on analyzing either the content of the web page or the keywords of the user search. However, there are limitations of these works when being extended into mobile computing domain, where mobile devices can provide versatile contexts, such as locations, weather, device capability, and user activities. These contexts should be well cat
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Cobanoglu, Cihan, Muhittin Cavusoglu, and Gozde Turktarhan. "A beginner’s guide and best practices for using crowdsourcing platforms for survey research: The Case of Amazon Mechanical Turk (MTurk)." Journal of Global Business Insights 6, no. 1 (2021): 92–97. http://dx.doi.org/10.5038/2640-6489.6.1.1177.

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Introduction Researchers around the globe are utilizing crowdsourcing tools to reach respondents for quantitative and qualitative research (Chambers & Nimon, 2019). Many social science and business journals are receiving studies that utilize crowdsourcing tools such as Amazon Mechanical Turk (MTurk), Qualtrics, MicroWorkers, ShortTask, ClickWorker, and Crowdsource (e.g., Ahn, & Back, 2019; Ali et al., 2021; Esfahani, & Ozturk, 2019; Jeong, & Lee, 2017; Zhang et al., 2017). Even though the use of these tools presents a great opportunity for sharing large quantities of data quick
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Hess, Aaron, and Carlos Flores. "Simply more than swiping left: A critical analysis of toxic masculine performances on Tinder Nightmares." New Media & Society 20, no. 3 (2016): 1085–102. http://dx.doi.org/10.1177/1461444816681540.

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Launching in September 2012, Tinder has become a popular phenomenon in the world of online dating and hookup culture. Simultaneously, it carries notorious reputation for being home to hypersexual and toxic masculine expressions. This analysis examines Tinder Nightmares, an Instagram page featuring failed attempts at hooking up, as a site that promotes counter-disciplining the deliberate toxic masculine performances on Tinder. Through a Foucauldian lens, we argue that this page delimits the toxic masculine performances through the outward display of crude performances, the showcasing of witty r
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Kanakaris, Venetis, Georgios Lampropoulos, and Kerstin Siakas. "A Survey and a Case-Study Regarding Social Media Security and Privacy on Greek Future IT Professionals." International Journal of Human Capital and Information Technology Professionals 10, no. 1 (2019): 22–37. http://dx.doi.org/10.4018/ijhcitp.2019010102.

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Nowadays, social media and social networks are increasingly used in business as they have drastically changed the way the community works, communicates, collaborates, socialises, creates content and shares knowledge and ideas. However, in particular, IT professionals and practitioners need to be aware of online security and privacy issues and the potential negative impact that they may cause on different aspects of business, such as online breaches or information theft. The use of social media inevitably leads to disclosure of personal information, with the use of open-source intelligence (OSI
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Kinshuk, Dr, and Ryan Jesse. "Mobile authoring of open educational resources as reusable learning objects." International Review of Research in Open and Distributed Learning 14, no. 2 (2013): 28. http://dx.doi.org/10.19173/irrodl.v14i2.1535.

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<p>E-learning technologies have allowed authoring and playback of standardized reusable learning objects (RLO) for several years. Effective mobile learning requires similar functionality at both design time and runtime. Mobile devices can play RLO using applications like SMILE, mobile access to a learning management system (LMS), or other systems which deploy content to mobile learners (Castillo & Ayala, 2008; Chu, Hwang, & Tseng, 2010; Hsu & Chen, 2010; Nakabayashi, 2009; Zualkernan, Nikkhah, & Al-Sabah, 2009). However, implementations which author conten
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Le, Quang-Hung, Son-Lam Vu, Thi-Kim-Phuong Nguyen, and Thi-Xinh Le. "A State-of-the-Art Survey on Context-Aware Recommender Systems and Applications." International Journal of Knowledge and Systems Science 12, no. 3 (2021): 1–20. http://dx.doi.org/10.4018/ijkss.2021070101.

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In the digital transformation era, increasingly more individuals and organizations use or create services in digital spaces. Many business transactions have been moving from the offline to online mode. For example, sellers intend to introduce their products on e-commerce platforms rather than display them on store shelves as in traditional business. Although this new format business has advantages, such as more space for product displays, more efficient searches for a specific item, and providing a good tool for both buyers and sellers to manage their products, it is also accompanied by the ob
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Almaslukh, Abdulaziz, Yunfan Kang, and Amr Magdy. "Temporal Geo-Social Personalized Keyword Search Over Streaming Data." ACM Transactions on Spatial Algorithms and Systems 7, no. 4 (2021): 1–28. http://dx.doi.org/10.1145/3473006.

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The unprecedented rise of social media platforms, combined with location-aware technologies, has led to continuously producing a significant amount of geo-social data that flows as a user-generated data stream. This data has been exploited in several important use cases in various application domains. This article supports geo-social personalized queries in streaming data environments. We define temporal geo-social queries that provide users with real-time personalized answers based on their social graph. The new queries allow incorporating keyword search to get personalized results that are r
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Estrela, Vania V. "SDR-Based High-Definition Video Transmission for Biomedical Engineering." Medical Technologies Journal 4, no. 3 (2020): 584–85. http://dx.doi.org/10.26415/2572-004x-vol4iss3p584-585.

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Background: Software-Defined Radio (SDR) frameworks from cellular telephone base stations, e.g., Multiservice Distributed Access System (MDAS) and small cells, employ extensively integrated RF agile transceivers. The Internet of Medical Things (IoMT) is the collection of medical devices and applications that connect to healthcare IT systems through online computer networks. Medical devices equipped with Wi-Fi allow M2M communication, which is the backbone of IoMT and associated devices linked to cloud platforms containing stored data to be analyzed. Examples of IoMT include remote patient moni
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Chen, Xiaojun, and Jea H. Choi. "Designing Online Collaborative Location-Aware Platform for History Learning." Journal of Educational Technology Development and Exchange 3, no. 1 (2010). http://dx.doi.org/10.18785/jetde.0301.02.

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Zhang, Wenyan, Ling Xu, Meng Yan, Ziliang Wang, and Chunlei Fu. "A Probability Distribution and Location-aware ResNet Approach for QoS Prediction." Journal of Web Engineering, July 8, 2021. http://dx.doi.org/10.13052/jwe1540-9589.20415.

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In recent years, the number of online services has grown rapidly, invoking the required services through the cloud platform has become the primary trend. How to help users choose and recommend high-quality services among huge amounts of unused services has become a hot issue in research. Among the existing QoS prediction methods, the collaborative filtering (CF) method can only learn low-dimensional linear characteristics, and its effect is limited by sparse data. Although existing deep learning methods could capture high-dimensional nonlinear features better, most of them only use the single
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Crowther, Susan, Doreen Balabanoff, Lesley Kay, and Jenny Hall. "Using a virtual platform for an asynchronous co-operative inquiry." Action Research, April 11, 2021, 147675032110047. http://dx.doi.org/10.1177/14767503211004707.

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A participatory action research (PAR) study using co-operative inquiry methods was employed to examine the topic ‘spirituality and childbirth’. Co-operative inquiry (CI) reclaims the right of co-researchers to create knowledge from their own lived experience, an approach that works ‘with’ rather than ‘on’ people, valuing individual contributions. Traditionally, CI has been organised synchronously in the same physical location. However, with current events and need for greater global collaboration for divergent/convergent perspectives, an ‘asynchronous’ CI is important to consider. To date, the
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de Gruchy, Thea, Jo Vearey, Calvin Opiti, Langelihle Mlotshwa, Karima Manji, and Johanna Hanefeld. "Research on the move: exploring WhatsApp as a tool for understanding the intersections between migration, mobility, health and gender in South Africa." Globalization and Health 17, no. 1 (2021). http://dx.doi.org/10.1186/s12992-021-00727-y.

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Abstract Background Reflecting global norms, South Africa is associated with high levels of cross-border and internal population mobility, yet migration-aware health system responses are lacking. Existing literature highlights three methodological challenges limiting the development of evidence-informed responses to migration and health: (1) lack of engagement with the process of migration; (2) exclusion of internal migrants; and (3) lack of methodologies that are able to capture ‘real-time’ data about health needs and healthcare seeking experiences over both time and place. In this paper, we
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Matei, Sorin Adam, Chris Miller, Laura Arns, Nick Rauh, Chris Hartman, and Robert Bruno. "Visible Past: Learning and discovering in real and virtual space and time." First Monday, May 7, 2007. http://dx.doi.org/10.5210/fm.v12i5.1836.

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Visible Past proposes a cross platform, scalable environment (Exploratorium) for collaborative social, geographic, and historical education and research. The Exploratorium will be deployed in a variety of settings, from Web to fully immersive virtual reality environments. Educational activities can be formal (classroom teaching) or informal (conducted in a museum or self–directed online learning setting). The specific goals of the Exploratorium concept are two–fold: 1) to create a set of tools for collecting, organizing, or disseminating knowledge in a collaborative manner at various scales an
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Dionisio, Mara, and Valentina Nisi. "Leveraging Transmedia storytelling to engage tourists in the understanding of the destination’s local heritage." Multimedia Tools and Applications, June 7, 2021. http://dx.doi.org/10.1007/s11042-021-10949-2.

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AbstractTransmedia Stories are becoming an increasingly important technique for the tourism industry. They are successful tools to engage, inspire and gather audiences online and offline. In this article, we describe the design, implementation and evaluation of Fragments of Laura, a bespoke Transmedia Storytelling (TS) experience designed to involve visitors in developing knowledge and awareness about the cultural and natural heritage of Madeira Island. Fragments of Laura (FoL) is composed of two interconnected components: a Location-Aware Multimedia Story, and a Hypermedia Platform populated
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Iskandar, Nooreddine, Tatiana Rahbany, and Ali Shokor. "Healthcare and Terrorism: The Lebanese Experience." Disaster Medicine and Public Health Preparedness, March 23, 2021, 1–4. http://dx.doi.org/10.1017/dmp.2021.26.

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Abstract Background: Due to the common instability caused by political and security issues, Lebanese hospitals have experienced acts of terrorism multiple times. The most recent Beirut Explosion even forced several hospitals to cease operations for the first time in decades—but studies show the preparedness levels for such attacks in similar countries are low. Objective: The aim of this study is to explore the experience of Lebanese hospitals with terrorist attacks. Methods: This qualitative study used semi-structured interviews with various stakeholders to assess their experience with terrori
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Pandey, Palima. "E Commerce — An Evolving Weapon amongst Business Strategists to Capture Blue Oceans in India." Adhyayan: A Journal of Management Sciences 5, no. 2 (2016). http://dx.doi.org/10.21567/adhyayan.v5i2.8823.

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Modern approach defines e-commerce as creation and maintenance of web-based relations. It is about enabling retailers, brands and cataloguers to be more consumer-centric across channels. The Asia-Pacific region is proving to be the world's ecommerce market hub in 2015. Because of the growing influence of mobile-oriented search, more online marketplaces, consumer goods and F&B organizations are focusing on bettering their digital visibility. India is witnessing a huge upsurge in the growth figures of this industry. Today Corporate and business houses are facing immense problem of competitio
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