Almuairfi, S, Veeraraghavan, P, Chilamkurti, N. (2013). A novel image-based implicit password authentication system (IPAS) for mobile and non-mobile devices. Mathematical and Computer Modelling, 58(1), 108–116.
Article
Google Scholar
Anon, F., Navarathinarasah, V., Hoang, M., & Lung, C. (2014). Building a framework for internet of things and cloud computing. Paper presented at the Internet of Things (iThings), 2014 IEEE International Conference on, and Green Computing and Communications (GreenCom), IEEE and Cyber, Physical and Social Computing (CPSCom), IEEE, pp. 132–139.
Azad, S., Rahman, M., Ranak, M. N., Ruhee, B. K., Nisa, N. N., Kabir, N.,. .. Zain, J. M. (2016). VAP code: A secure graphical password for smart devices. Computers & Electrical Engineering,
Azhar, S., & Cox, A. J. (2015). Impact of mobile tools and technologies on jobsite operations. 51st ASC Annual International Conference Proceedings,
Bisio, I., Garibotto, C., Lavagetto, F., Sciarrone, A., Zappatore, S. (2018). Unauthorized Amateur UAV Detection Based on WiFi Statistical Fingerprint Analysis. IEEE Communications Magazine, 56(4), 106–111.
Chena, ZX, & Chena, CC. (2015). The intention of using smart device messages as parent-teacher communication from the view of parents. Procedia Manufacturing, 3, 5617–5623.
Article
Google Scholar
Cheng, JW, & Mitomo, H. (2017). The underlying factors of the perceived usefulness of using smart wearable devices for disaster applications. Telematics and Informatics, 34(2), 528–539.
Article
Google Scholar
Dahri, K, Gong, Y, Loewen, P. (2016). A quantitative and qualitative assessment of the utilization of mobile computing devices by clinical pharmacists. Health Policy and Technology, 5(3), 285–290.
Article
Google Scholar
Ehmen, H, Haesner, M, Steinke, I, Dorn, M, Gövercin, M, Steinhagen-Thiessen, E. (2012). Comparison of four different mobile devices for measuring heart rate and ECG with respect to aspects of usability and acceptance by older people. Applied Ergonomics, 43(3), 582–587.
Article
Google Scholar
Evans, D. (2011). The internet of things: How the next evolution of the internet is changing everything. CISCO White Paper, 1(2011), 1–11.
Google Scholar
Fink, A (2013). Conducting research literature reviews: From the internet to paper. Sage Publications.
Forehand, JW, Miller, B, Carter, H. (2017). Integrating mobile devices into the nursing classroom. Teaching and Learning in Nursing, 12(1), 50–52.
Article
Google Scholar
Franceschet, M. (2010). A comparison of bibliometric indicators for computer science scholars and journals on web of science and google scholar. Scientometrics, 83(1), 243–258.
Article
Google Scholar
Furthmüller, J, & Waldhorst, OP. (2012). Energy-aware resource sharing with mobile devices. Computer Networks, 56(7), 1920–1934. https://doi.org/10.1016/j.comnet.2012.02.007.
Article
Google Scholar
Gans, W, Alberini, A, Longo, A. (2013). Smart meter devices and the effect of feedback on residential electricity consumption: Evidence from a natural experiment in Northern Ireland. Energy Economics, 36, 729–743. https://doi.org/10.1016/j.eneco.2012.11.022.
Article
Google Scholar
Gartner. (2014). Gartner says 4.9 billion connected “things” will be in use in 2015. Retrieved from http://www.gartner.com/newsroom/id/2905717
Google Scholar
Gartner. (2016). Measuring the strategic value of the internet of things for industries. Retrieved from https://www.gartner.com/doc/3299317
Godwin, ZR, Bockhold, JC, Webster, L, Falwell, S, Bomze, L, Tran, NK. (2013). Development of novel smart device based application for serial wound imaging and management. Burns : Journal of the International Society for Burn Injuries, 39(7), 1395. https://doi.org/10.1016/j.burns.2013.03.021.
Article
Google Scholar
Gubbi, J, Buyya, R, Marusic, S, Palaniswami, M. (2013). Internet of things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645–1660.
Article
Google Scholar
Harwood, J, Dooley, JJ, Scott, AJ, Joiner, R. (2014). Constantly connected - the effects of smart-devices on mental health. Computers in Human Behavior, 34, 267. https://doi.org/10.1016/j.chb.2014.02.006.
Article
Google Scholar
Husnjak, S, Perakovic, D, Jovovic, I. (2014). Possibilities of using speech recognition systems of smart terminal devices in traffic environment. Procedia Engineering, 69, 778–787. https://doi.org/10.1016/j.proeng.2014.03.054.
Article
Google Scholar
İlhan, İ, Yıldız, İ, Kayrak, M. (2016). Development of a wireless blood pressure measuring device with smart mobile device. Computer Methods and Programs in Biomedicine, 125, 94–102. https://doi.org/10.1016/j.cmpb.2015.11.003.
Article
Google Scholar
INFSO, D (2008). Networked enterprise & RFID INFSO G. 2 micro & nanosystems, in co-operation with the working group RFID of the ETP EPOSS, internet of things in 2020, Roadmap for the future [R]. Berlin: Information Society and Media, Tech. Rep.
Jin, J, Gubbi, J, Marusic, S, Palaniswami, M. (2014). An information framework for creating a smart city through internet of things. IEEE Internet of Things Journal, 1(2), 112–121.
Article
Google Scholar
Kang, L., Weng, M., Jheng, C., Tseng, C., Ramesh, S. K., Gureja, A.,. .. Yeh, C. (2015). Content-aware image retargeting for image display on foldable mobile devices. Procedia Computer Science, 56, 104–110.
Article
Google Scholar
Khan, R, & Khan, SU. (2017). Energy saving through intelligent coordination among daily used fixed and mobile devices. Sustainable Computing: Informatics and Systems, 14, 43–57.
Google Scholar
Khan, TH, Shrestha, R, Wahid, KA, Babyn, P. (2015). Design of a smart-device and FPGA based wireless capsule endoscopic system. Sensors and Actuators A: Physical, 221, 77–87. https://doi.org/10.1016/j.sna.2014.10.033.
Article
Google Scholar
Kobus, MB, Rietveld, P, Van Ommeren, JN. (2013). Ownership versus on-campus use of mobile IT devices by university students. Computers & Education, 68, 29–41.
Article
Google Scholar
Koo, C, Chung, N, Nam, K. (2015). Assessing the impact of intrinsic and extrinsic motivators on smart green IT device use: Reference group perspectives. International Journal of Information Management, 35(1), 64–79.
Article
Google Scholar
Lanotte, R, & Merro, M. (2018). A semantic theory of the internet of things. Information and Computation.
Lau, KP, Chiu, DK, Ho, KK, Lo, P, See-To, EW. (2017). Educational usage of mobile devices: Differences between postgraduate and undergraduate students. The Journal of Academic Librarianship, 43(3), 201–208.
Article
Google Scholar
Lee, J, Kao, H, Yang, S. (2014). Service innovation and smart analytics for industry 4.0 and big data environment. Procedia Cirp, 16, 3–8.
Article
Google Scholar
Li, W, Chen, X, Lu, S. (2017). Content synchronization using device-to-device communication in smart cities. Computer Networks, 120, 170–185.
Article
Google Scholar
Lo, S, Yu, T, Tseng, C. (2014). A remote control and media-sharing system using smart devices. Journal of Systems Architecture, 60(8), 671. https://doi.org/10.1016/j.sysarc.2014.04.005.
Article
Google Scholar
Lopez, J, Rios, R, Bao, F, Wang, G. (2017). Evolving privacy: From sensors to the internet of things. Future Generation Computer Systems.
Malkawi, NAM. (2017). The effect of using smart board on the achievement of tenth grade students in english language and on verbal interaction during teaching in public schools. International Research in Education, 5(1), 197–208.
Article
Google Scholar
Mao, H, Xiao, N, Shi, W, Lu, Y. (2012). Wukong: A cloud-oriented file service for mobile internet devices. Journal of Parallel and Distributed Computing, 72(2), 171–184.
Article
Google Scholar
Markelj, B, & Bernik, I. (2015). Safe use of mobile devices arises from knowing the threats. Journal of Information Security and Applications, 20, 84–89.
Article
Google Scholar
Maryn, Y, Ysenbaert, F, Zarowski, A, Vanspauwen, R. (2017). Mobile communication devices, ambient noise, and acoustic voice measures. Journal of Voice, 31(2), e23. https://doi.org/10.1016/j.jvoice.2016.07.023.
Article
Google Scholar
Mascetti, S, Ahmetovic, D, Gerino, A, Bernareggi, C, Busso, M, Rizzi, A. (2016). Robust traffic lights detection on mobile devices for pedestrians with visual impairment. Computer Vision and Image Understanding, 148, 123–135.
Article
Google Scholar
Mathew, JI, Cadnum, JL, Sankar, T, Jencson, AL, Kundrapu, S, Donskey, CJ. (2016). Evaluation of an enclosed ultraviolet-C radiation device for decontamination of mobile handheld devices. American Journal of Infection Control, 44(6), 724–726.
Article
Google Scholar
Medeiros, H, Holguín, G, Shin, PJ, Park, J. (2010). A parallel histogram-based particle filter for object tracking on SIMD-based smart cameras. Computer Vision and Image Understanding, 114(11), 1264–1272.
Article
Google Scholar
Melo, M, Bessa, M, Debattista, K, Chalmers, A. (2014). Evaluation of HDR video tone mapping for mobile devices. Signal Processing: Image Communication, 29(2), 247–256.
Google Scholar
Meyer, GG, Yeh, Y, Tsai, M. (2012). Smart devices for demand side power consumption management. AASRI Procedia, 2, 216–222.
Article
Google Scholar
Miller, M (2015). The internet of things: How smart TVs, smart cars, smart homes, and smart cities are changing the world. London: Pearson Education.
Miorandi, D, Sicari, S, De Pellegrini, F, Chlamtac, I. (2012). Internet of things: Vision, applications and research challenges. Ad Hoc Networks, 10(7), 1497–1516.
Article
Google Scholar
Moreira, F, Ferreira, MJ, Santos, CP, Duro, N. (2016). Evolution and use of mobile devices in higher education: A case study in portuguese higher education institutions between 2009/2010 and 2014/2015. Telematics and Informatics.
Muhammad, P, & Devi, SA. (2016). Hand gesture user interface for smart devices based on mems sensors. Procedia Computer Science, 93, 940–946.
Article
Google Scholar
Najjar, YS, & Amer, MMB. (2016). Using a smart device and neuro-fuzzy control system as a sustainable initiative with green cars. Journal of the Energy Institute, 89(2), 256–263.
Article
Google Scholar
Ray, PP. (2016). A survey on internet of things architectures. Journal of King Saud University-Computer and Information Sciences.
Richard, CA, & Bryant, JE. (2014). Pharmacy student perceptions on the introduction of clinical case studies solved with apple mobile devices into a basic health science laboratory. Currents in Pharmacy Teaching and Learning, 6(5), 659–666.
Article
Google Scholar
Roberto, R, Lima, JP, Teichrieb, V. (2016). Tracking for mobile devices: A systematic mapping study. Computers & Graphics, 56, 20–30.
Article
Google Scholar
Rodríguez, AI, Riaza, BG, Gómez, MCS. (2017). Collaborative learning and mobile devices: An educational experience in primary education. Computers in Human Behavior, 72, 664–677.
Article
Google Scholar
Rüßmann, M, Lorenz, M, Gerbert, P, Waldner, M, Justus, J, Engel, P, et al. (2015). Industry 4.0: The future of productivity and growth in manufacturing industries, (p. 9). Boston Consulting Group. http://www.inovasyon.org/pdf/bcg.perspectives_Industry.4.0_2015.pdf.
Sánchez-Arias, G, García, CG, G-Bustelo, BCP. (2017). Midgar: Study of communications security among smart objects using a platform of heterogeneous devices for the internet of things. Future Generation Computer Systems, 74, 444–466.
Article
Google Scholar
Sattineni, A, & Schmidt, T. (2015). Implementation of mobile devices on jobsites in the construction industry. Procedia Engineering, 123, 488–495.
Article
Google Scholar
Schleich, J, Faure, C, Klobasa, M. (2017). Persistence of the effects of providing feedback alongside smart metering devices on household electricity demand. Energy Policy, 107, 225–233.
Article
Google Scholar
Son, H, Park, Y, Kim, C, Chou, J. (2012). Toward an understanding of construction professionals’ acceptance of mobile computing devices in South Korea: An extension of the technology acceptance model. Automation in Construction, 28, 82–90.
Article
Google Scholar
Stojanovic, V, Falconer, RE, Isaacs, J, Blackwood, D, Gilmour, D, Kiezebrink, D, Wilson, J. (2017). Streaming and 3D mapping of AGRI-data on mobile devices. Computers and Electronics in Agriculture, 138, 188–199.
Article
Google Scholar
Stojkoska, BLR, & Trivodaliev, KV. (2017). A review of internet of things for smart home: Challenges and solutions. Journal of Cleaner Production, 140, 1454–1464.
Article
Google Scholar
Suarez, JP, Trujillo, A, Santana, JM, de la Calle, M, Gomez-Deck, D. (2015). An efficient terrain level of detail implementation for mobile devices and performance study. Computers, Environment and Urban Systems, 52, 21–33.
Article
Google Scholar
Suki, NM, & Suki, NM. (2017). Flight ticket booking app on mobile devices: Examining the determinants of individual intention to use. Journal of Air Transport Management, 62, 146–154.
Article
Google Scholar
Sung, Y, Chang, K, Yang, J. (2015). How effective are mobile devices for language learning? A meta-analysis. Educational Research Review, 16, 68–84.
Article
Google Scholar
Tawalbeh, M, & Eardley, A. (2016). Studying the energy consumption in mobile devices. Procedia Computer Science, 94, 183–189.
Article
Google Scholar
Van Kranenburg, R (2008). The internet of things: A critique of ambient technology and the all-seeing network of RFID. Amsterdam: Institute of Network Cultures.
Vazquez-Fernandez, E, & Gonzalez-Jimenez, D. (2016). Face recognition for authentication on mobile devices. Image and Vision Computing, 55, 31–33. https://doi.org/10.1016/j.imavis.2016.03.018.
Article
Google Scholar
Vorderer, P, Krömer, N, Schneider, FM. (2016). Permanently online–permanently connected: Explorations into university students’ use of social media and mobile smart devices. Computers in Human Behavior, 63, 694–703.
Article
Google Scholar
White, MD, & Marsh, EE. (2006). Content analysis: A flexible methodology. Library Trends, 55(1), 22–45.
Article
Google Scholar
Wu, T. (2014). Using smart mobile devices in social-network-based health education practice: A learning behavior analysis. Nurse Education Today, 34(6), 958–963.
Article
Google Scholar
Xie, Y, Szeto, G, Dai, J. (2017). Prevalence and risk factors associated with musculoskeletal complaints among users of mobile handheld devices: A systematic review. Applied Ergonomics, 59, 132–142.
Article
Google Scholar
Zhang, Y, Mao, M, Rau, PP, Choe, P, Bela, L, Wang, F. (2013). Exploring factors influencing multitasking interaction with multiple smart devices. Computers in Human Behavior, 29(6), 2579. https://doi.org/10.1016/j.chb.2013.06.042.
Article
Google Scholar
Zhong, B. (2013). From smartphones to iPad: Power users’ disposition toward mobile media devices. Computers in Human Behavior, 29(4), 1742–1748.
Article
Google Scholar