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Journal articles on the topic 'Smart User'

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Author: Grafiati

Published: 10 March 2023

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1

Silvast, Antti, Robin Williams, Sampsa Hyysalo, Kjetil Rommetveit, and Charles Raab. "Who ‘Uses’ Smart Grids? The Evolving Nature of User Representations in Layered Infrastructures." Sustainability 10, no. 10 (October 17, 2018): 3738. http://dx.doi.org/10.3390/su10103738.

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This article addresses the anticipated use and users of smart energy technologies and the contribution of these technologies to energy sustainability. It focuses on smart grids and smart energy meters. Qualitative accounts given by European technology developers and experts reveal how they understand the final use and social impacts of these technologies. The article analyzes these accounts and compares the UK’s smart meter rollout with experiences from other European countries, especially Finland, to provide insights into the later adoption stages of smart energy and how its impacts have evolved. The analysis highlights significant differences in the likely intensity and manner of user engagement with smart grids and meters: depending first on whether we are considering existing technologies or smart technologies that are expected to mature sometime in the next decade, and second on whether the ‘user’ is the user of smart meters or the user of an entire layer of new energy services and applications. By deploying the strategic approach developed in the article, smart grid developers and experts can give more explicit attention to recognizing the descriptions of ‘users’ in smart-grid projects and to the feasibility of these expectations of ‘use’ in comparison to the possibilities and limits of energy services and applications in different country contexts. The examination of user representations can also point out the need for further technology and service development if some of the envisioned user profiles and user actions appear unrealistic for presently available technologies.

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2

Goh, Lih Seng, and Dan Nathan-Roberts. "Smart Home Devices: Promoting User Trust and Protecting User Data." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (November 2019): 1659–63. http://dx.doi.org/10.1177/1071181319631525.

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As smart technology is introduced into our homes, new dangers emerge that threaten our safety. New technology is usually subjected to much scrutiny, but smart home devices face even more because they are brought into the home environment, which is focused on safety and privacy. The potential for smart home technology to improve home life is hindered by the fact that potential users face difficulty in trusting and accepting smart home technology. This paper explores different types of trust that can be used to inform strategies, promote trust, reduce threats towards smart home technologies, and overcome challenges in designing these systems and different methods for designing a trustworthy and secure system. To begin designing a trustworthy product that establishes trust between users and smart home technology, manufacturers should use these findings to understand how human beings form trust with new technology.

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3

Goulden, Murray, Ben Bedwell, Stefan Rennick-Egglestone, Tom Rodden, and Alexa Spence. "Smart grids, smart users? The role of the user in demand side management." Energy Research & Social Science 2 (June 2014): 21–29. http://dx.doi.org/10.1016/j.erss.2014.04.008.

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4

Voege, Peter, Iman I. M. Abu Sulayman, and Abdelkader Ouda. "Smart Chatbot for User Authentication." Electronics 11, no. 23 (December 3, 2022): 4016. http://dx.doi.org/10.3390/electronics11234016.

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Despite being the most widely used authentication mechanism, password-based authentication is not very secure, being easily guessed or brute-forced. To address this, many systems which especially value security adopt Multi-Factor Authentication (MFA), in which multiple different authentication mechanisms are used concurrently. JitHDA (Just-in-time human dynamics based authentication engine) is a new authentication mechanism which can add another option to MFA capabilities. JitHDA observes human behaviour and human dynamics to gather up to date information on the user from which authentication questions can be dynamically generated. This paper proposes a system that implements JitHDA, which we call Autonomous Inquiry-based Authentication Chatbot (AIAC). AIAC uses anomalous events gathered from a user’s recent activity to create personalized questions for the user to answer, and is designed to improve its own capabilities over time using neural networks trained on data gathered during authentication sessions. Due to using the user’s recent activity, they will be easy for the authentic user to answer and hard for a fraudulent user to guess, and as the user’s recent history updates between authentication sessions new questions will be dynamically generated to replace old ones. We intend to show in this paper that AIAC is a viable implementation of JitHDA.

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5

TALUĞ, Deniz Yeşim. "USER EXPECTATIONS ON SMART TV; AN EMPIRIC STUDY ON USER EMOTIONS TOWARDS SMART TV." TURKISH ONLINE JOURNAL OF DESIGN ART AND COMMUNICATION 11, no. 2 (April 1, 2021): 424–42. http://dx.doi.org/10.7456/11102100/007.

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As a result of the introduction of new technologies in consumer electronics, analog TV shifted from a mere viewing experience to a personalized digital TV experience where users are encouraged to interact. The application of these new technologies not only create changes in physical appearance and adding more functionalities to TVs but it also shifts user expectations, which are mainly emotionally driven. The initial attempt of this study is to determine which emotions are involved in smart TV preference and why those particular emotions are aroused. In other words, this study aims to discover the link among contents, activities and user interaction as well as the relationship between triggered emotions and user expectations. By doing so, it analyses user emotions and expectations towards a dream TV. The primary data is collected towards semi-structured in-depth interviews. The results show that Smartness, High quality, Personalization, Functionality and Appearance are the key features that meet the expectations towards TV experience. User-friendliness, compatibleness, enjoyableness, awareness, novel-interactions, self-defense smart software and voice remote are the consequent expectations. All these expectations arise from different underlying emotional tendencies. With its initial attempt to propose guidelines for designers, this study suggests that for designing a smart TV that meets user expectations, its design should enable smart interaction that simplifies managing task (Smartness), high quality of picture and sound to enable innovative continuous experience (High quality), supporting not missing any content of interest and filter unwanted ones (Personalization), utilize all kinds of usage comfortably (Functionality), and should have an aesthetic look, even seamless design that fits any possible environment (Appearance).

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6

Moreno, María V., Miguel A. Zamora, and Antonio F. Skarmeta. "User-centric smart buildings for energy sustainable smart cities." Transactions on Emerging Telecommunications Technologies 25, no. 1 (December 12, 2013): 41–55. http://dx.doi.org/10.1002/ett.2771.

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7

Le Guilly, Thibaut, Michael K. Nielsen, Thomas Pedersen, Arne Skou, Jesper Kjeldskov, and Mikael Skov. "User constraints for reliable user-defined smart home scenarios." Journal of Reliable Intelligent Environments 2, no. 2 (May 4, 2016): 75–91. http://dx.doi.org/10.1007/s40860-016-0020-z.

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8

Leghari, M., L. Dhomeja, and S. Memon. "User Control Support in Smart Homes." EAI Endorsed Transactions on Context-aware Systems and Applications 7, no. 21 (September 8, 2020): 164666. http://dx.doi.org/10.4108/eai.13-7-2018.164666.

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9

Razak, Razie, Radityo Muhammad, and Pawito Pawito. "Gamification: Stimulating User Smart City Application." CHANNEL: Jurnal Komunikasi 9, no. 2 (October 15, 2021): 159. http://dx.doi.org/10.12928/channel.v9i2.21139.

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10

FakhrHosseini, Shabnam, Sheng-Hung Lee, John Rudnik, Heesuk Son, Chaiwoo Lee, and Joseph Coughlin. "User Needs of Smart Home Services." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65, no. 1 (September 2021): 457–61. http://dx.doi.org/10.1177/1071181321651218.

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Technological advances have improved the functionality of smart home systems and services, enabling consumers to automate some of in-home tasks, enhance their safety and security, and save energy. Despite improved functionality, user adoption of many available products and services remains low. This phenomenon suggests that smart home technologies may not be meeting the needs of potential users. Furthermore, continued technological advancement combined with changes in people’s lifestyle and attitudes towards in-home technologies require updated investigations to gain a clear view of current user needs. This study presents findings from a set of semi-structured interviews and card-sorting activities with eleven participants from different socio-demographic backgrounds, with a focus on describing ten challenges commonly experienced in the home environment. Possible technological solutions are discussed from the existing unmet needs within the scope of smart and connected homes.

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11

BUURMAN, RUDY DEN. "User-centred design of smart products." Ergonomics 40, no. 10 (October 1997): 1159–69. http://dx.doi.org/10.1080/001401397187676.

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12

Korpipaa, P., E. J. Malm, T. Rantakokko, V. Kyllonen, J. Kela, J. Mantyjarvi, J. Hakkila, and I. Kansala. "Customizing User Interaction in Smart Phones." IEEE Pervasive Computing 5, no. 3 (July 2006): 82–90. http://dx.doi.org/10.1109/mprv.2006.49.

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13

Shah, Syed W., and Salil S. Kanhere. "Smart user identification using cardiopulmonary activity." Pervasive and Mobile Computing 58 (August 2019): 101024. http://dx.doi.org/10.1016/j.pmcj.2019.05.005.

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14

Yoon, Hyoseok, Se-Ho Park, and Kyung-Taek Lee. "Lightful user interaction on smart wearables." Personal and Ubiquitous Computing 20, no. 6 (September 9, 2016): 973–84. http://dx.doi.org/10.1007/s00779-016-0959-z.

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15

Wigan, Marcus. "User Issues for Smart Meter Technology." IEEE Technology and Society Magazine 33, no. 1 (2014): 49–53. http://dx.doi.org/10.1109/mts.2014.2301856.

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16

Cohen, Michael R. "Only as smart as the user." Nursing 37, no. 7 (July 2007): 12. http://dx.doi.org/10.1097/01.nurse.0000279401.70127.20.

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17

Wu, Shuhua, Yuefei Zhu, and Qiong Pu. "Robust smart-cards-based user authentication scheme with user anonymity." Security and Communication Networks 5, no. 2 (April 28, 2011): 236–48. http://dx.doi.org/10.1002/sec.315.

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18

Imbesi, Silvia, and Sofia Scataglini. "A User Centered Methodology for the Design of Smart Apparel for Older Users." Sensors 21, no. 8 (April 16, 2021): 2804. http://dx.doi.org/10.3390/s21082804.

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Smart clothing plays a big role to foster innovation and to. boost health and well-being, improving the quality of the life of people, especially when addressed to niche users with particular needs related to their health. Designing smart apparel, in order to monitor physical and physiological functions in older users, is a crucial asset that user centered design is exploring, balancing needs expressed by the users with technological requirements related to the design process. In this paper, the authors describe a user centered methodology for the design of smart garments based on the evaluation of users’ acceptance of smart clothing. This comparison method can be considered as similar to a simplified version of the quality function deployment tool, and is used to evaluate the general response of each garment typology to different categories of requirements, determining the propensity of the older user to the utilization of the developed product. The suggested methodology aims at introducing in the design process a tool to evaluate and compare developed solutions, reducing complexity in design processes by providing a tool for the comparison of significant solutions, correlating quantitative and qualitative factors.

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19

Islam, Shayla, Anil Kumar Budati, Mohammad Kamrul Hasan, Hima Bindu Valiveti, and Sridhar Reddy Vulupala. "Sustainable Non-Cooperative User Detection Techniques in 5G Communications for Smart City Users." Sustainability 15, no. 1 (December 21, 2022): 118. http://dx.doi.org/10.3390/su15010118.

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The 4G network is not sufficient for achieving the high data requirements of smart city users. The 5G network intends to meet these requirements and overcome other application issues, such as fast data transmission, video buffering, and coverage issues, providing excellent mobile data services to smart city users. To allocate a channel or spectrum to a smart city user for error-free transmission with low latency, the accurate information of the spectrum should be detected. In this study, we determined the range of non-cooperative detection techniques, such as matched filter detection with inverse covariance approach (MFDI), cyclostationary feature detection with inverse covariance approach (CFDI), and hybrid filter detection with inverse covariance approach (HFDI); based on the results of these methods, we provided highly accurate spectrum information for smart city users, enabling sustainable development. To evaluate the performance of the proposed detection techniques, the following parameters are used: probability of detection (PD), probability of false alarms (Pfa), probability of miss detection (Pmd), sensing time, and throughput. The simulation results revealed that the HFDI detection method provided sustainable results at low signal-to-noise ratio ranges and improved channel detection and throughput of approximately 17% and 10%, respectively.

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20

Jang Su Hyang and 권영아. "Study on the Development of Smart Glove for Smart-phone User." Journal of Integrated Design Research 12, no. 1 (March 2013): 57–66. http://dx.doi.org/10.21195/jidr.2013.12.1.005.

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21

Ardito, Carmelo, Paolo Buono, Giuseppe Desolda, and Maristella Matera. "From smart objects to smart experiences: An end-user development approach." International Journal of Human-Computer Studies 114 (June 2018): 51–68. http://dx.doi.org/10.1016/j.ijhcs.2017.12.002.

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22

Cho, Younjoo, and Anseop Choi. "Application of Affordance Factors for User-Centered Smart Homes: A Case Study Approach." Sustainability 12, no. 7 (April 10, 2020): 3053. http://dx.doi.org/10.3390/su12073053.

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Smart homes improve quality of life by providing various services based on information and communication technologies. However, smart home systems are complicated and user interfaces for the interaction between smart home and user are often not user-friendly, causing potential difficulties and inconvenience for the user. Therefore, in order for smart homes to become user-centered, usability needs to be improved. This study aims to present guidelines for improving the usability of smart homes based on the concept of affordance, which is highly meaningful in user-centered design. To do this, firstly, the affordance factors that could be applied to improve the usability of active devices and user interfaces in smart homes were extracted, secondly, a case study was conducted to analyze the application of affordance factors, focusing on active devices (e.g., control devices and smart appliances) and user interfaces that directly interact with users in smart homes. Lastly, guidelines on the application of affordance factors were presented by combining case analysis results with relevant guidelines. Active devices and user interfaces should provide users with appropriate cognitive, physical, functional, and sensory affordances so that users can use the smart home services easily and conveniently.

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23

Choi, Jong-Seok, and Seung-Soo Shin. "Remote User Authentication Scheme using Smart Cards." Journal of the Korea Contents Association 9, no. 2 (February 28, 2009): 36–42. http://dx.doi.org/10.5392/jkca.2009.9.2.036.

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24

DAVID, Bertrand, Tao XU, Huiliang JIN, Yun ZHOU, René CHALON, Bingxue ZHANG, Chuantao YIN, and Chen WANG. "User-oriented System for Smart City approaches." IFAC Proceedings Volumes 46, no. 15 (2013): 333–40. http://dx.doi.org/10.3182/20130811-5-us-2037.00072.

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25

Wei, Jing, Tilman Dingler, and Vassilis Kostakos. "Understanding User Perceptions of Proactive Smart Speakers." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 4 (December 27, 2021): 1–28. http://dx.doi.org/10.1145/3494965.

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Voice assistants, such as Amazon's Alexa and Google Home, increasingly find their way into consumer homes. Their functionality, however, is currently limited to being passive answer machines rather than proactively engaging users in conversations. Speakers' proactivity would open up a range of important application scenarios, including health services, such as checking in on patient states and triggering medication reminders. It remains unclear how passive speakers should implement proactivity. To better understand user perceptions, we ran a 3-week field study with 13 participants where we modified the off-the-shelf Google Home to become proactive. During the study, our speaker proactively triggered conversations that were essentially Experience Sampling probes allowing us to identify when to engage users. Applying machine-learning, we are able to predict user responsiveness with a 71.6% accuracy and find predictive features. We also identify self-reported factors, such as boredom and mood, that are significantly correlated with users' perceived availability. Our prototype and findings inform the design of proactive speakers that verbally engage users at opportune moments and contribute to the design of proactive application scenarios and voice-based experience sampling studies.

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26

Malizia, Alessio, Stefano Valtolina, Alan Serrano, and Monica Maceli. "End-user development for smart environments (EUD4SE)." Behaviour & Information Technology 40, no. 10 (July 27, 2021): 973. http://dx.doi.org/10.1080/0144929x.2021.1964716.

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27

Fan, Yuntao, Hewu Li, Qian Wu, and Wenqi Sun. "Mining and Predicting Smart Device User Behavior." Proceedings of the Asia-Pacific Advanced Network 38 (December 28, 2014): 65. http://dx.doi.org/10.7125/apan.38.10.

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28

Zheng, Serena, Noah Apthorpe, Marshini Chetty, and Nick Feamster. "User Perceptions of Smart Home IoT Privacy." Proceedings of the ACM on Human-Computer Interaction 2, CSCW (November 2018): 1–20. http://dx.doi.org/10.1145/3274469.

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29

Lacroix, Zoé, Arnaud Sahuguet, and Raman Chandrasekar. "User-oriented smart-cache for the Web." ACM SIGMOD Record 27, no. 2 (June 1998): 572–74. http://dx.doi.org/10.1145/276305.276385.

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30

Jerrams-Smith, Jennifer. "A SMART USER-SYSTEM INTERFACE FOR UNIX." ACM SIGCHI Bulletin 18, no. 2 (October 1986): 49–50. http://dx.doi.org/10.1145/15683.1044076.

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31

Ond�, N. A., ej Krejcar, Dalibor Janckulik, Leona Motalova, and Petr Czekaj. "Biomedical user adaptive system for smart environments." International Journal of Intelligent Information and Database Systems 6, no. 5 (2012): 466. http://dx.doi.org/10.1504/ijiids.2012.049312.

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32

Sanchez-Reillo, R., L. Mengibar-Pozo, and C. Sanchez-Avila. "Microprocessor smart cards with fingerprint user authentication." IEEE Aerospace and Electronic Systems Magazine 18, no. 3 (March 2003): 22–24. http://dx.doi.org/10.1109/maes.2003.1193715.

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33

., Aayush Srivastava. "SMART TASK MANAGER FOR USER DEFINED PROCESSES." International Journal of Research in Engineering and Technology 05, no. 07 (July 25, 2016): 267–71. http://dx.doi.org/10.15623/ijret.2016.0507041.

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34

Spinsante, Susanna, and Ennio Gambi. "NFC-Based User Interface for Smart Environments." Advances in Human-Computer Interaction 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/854671.

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The physical support of a home automation system, joined with a simplified user-system interaction modality, may allow people affected by motor impairments or limitations, such as elderly and disabled people, to live safely and comfortably at home, by improving their autonomy and facilitating the execution of daily life tasks. The proposed solution takes advantage of the Near Field Communications technology, which is simple and intuitive to use, to enable advanced user interaction. The user can perform normal daily activities, such as lifting a gate or closing a window, through a device enabled to read NFC tags containing the commands for the home automation system. A passive Smart Panel is implemented, composed of multiple Near Field Communications tags properly programmed, to enable the execution of both individual commands and so-calledscenarios. The work compares several versions of the proposed Smart Panel, differing for interrogation and composition of the single command, number of tags, and dynamic user interaction model, at a parity of the number of commands to issue. Main conclusions are drawn from the experimental results, about the effective adoption of Near Field Communications in smart assistive environments.

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35

Hussain, Sajid, Senol Zafer Erdogen, and Jong Hyuk Park. "Monitoring user activities in smart home environments." Information Systems Frontiers 11, no. 5 (June 21, 2008): 539–49. http://dx.doi.org/10.1007/s10796-008-9124-1.

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Hussain, Sajid, Senol Zafer Erdogan, and Jong Hyuk Park. "Monitoring user activities in smart home environments." Information Systems Frontiers 11, no. 5 (July 30, 2008): 537. http://dx.doi.org/10.1007/s10796-008-9132-1.

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37

Chhetri, Chola, and Vivian Genaro Motti. "User-Centric Privacy Controls for Smart Homes." Proceedings of the ACM on Human-Computer Interaction 6, CSCW2 (November 7, 2022): 1–36. http://dx.doi.org/10.1145/3555769.

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The widespread adoption of smart home devices (SHD) has increased privacy concerns among users, yet user-friendly controls are lacking. While there is a large body of research focused on understanding privacy concerns and threat models of SHD users, there is limited research so far aimed at informing the development of privacy controls in SHDs. This paper presents the results of 25 interviews focused on characterizing the users' needs for privacy controls. Through qualitative analysis of interview data, we present 7 design factors and 32 sub-factors for the design of privacy controls in SHDs. The interview findings inform the design of a survey that was deployed to 440 adult SHD users to gain quantitative insights on privacy control requirements and to complement the interview findings. Based on the findings, we discuss a privacy control framework that guides designers towards user-centric privacy controls.

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38

Xue, Yanmin, Jinying Wang, and Xuyang Zhang. "Research on user experience of smart home under the development of Internet." E3S Web of Conferences 179 (2020): 02060. http://dx.doi.org/10.1051/e3sconf/202017902060.

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This paper aims to study the current situation and prospect of user experience of different smart products in smart home under the modern Internet. Through the analysis of the relationship between the user’s demand level and smart home, as well as the current situation and problems of existing products in the market, this paper studies the user demand and user experience. It is concluded that to make smart home into every user’s home, we need to fully consider the user experience in the design, and pay attention to the user’s functional needs, emotional needs and interactive experience needs. Thus, smart home becomes a meaningful home system to help users’ lives.

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39

Shin, Soobok, Kangseok Kim, Ki-Hyung Kim, and Hongjin Yeh. "A Remote User Authentication Scheme with Anonymity for Mobile Devices." International Journal of Advanced Robotic Systems 9, no. 1 (January 1, 2012): 13. http://dx.doi.org/10.5772/50912.

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With the rapid growth of information technologies, mobile devices have been utilized in a variety of services such as e-commerce. When a remote server provides such e-commerce services to a user, it must verify the legitimacy of the user over an insecure communication channel. Therefore, remote user authentication has been widely deployed to verify the legitimacy of remote user login requests using mobile devices like smart cards. In this paper we propose a smart card-based authentication scheme that provides both user anonymity and mutual authentication between a remote server and a user. The proposed authentication scheme is a simple and efficient system applicable to the limited resource and low computing performance of the smart card. The proposed scheme provides not only resilience to potential attacks in the smart card-based authentication scheme, but also secure authentication functions. A smart card performs a simple one-way hash function, the operations of exclusive-or and concatenation in the authentication phase of the proposed scheme. The proposed scheme also provides user anonymity using a dynamic identity and key agreement, and secure password change.

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40

Vangala, Sreevatsa. "Smart Polling System." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 20, 2021): 1296–99. http://dx.doi.org/10.22214/ijraset.2021.35231.

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Smart polling system is an android application that facilitates user (voter), nominee and administrator (who will be in charge and will verify all the user information) to participate in online voting. Our smart polling system is highly secured, and it has a simple and interactive user interface. The proposed online portal is secured and have unique security feature such as unique id generation that adds another layer of security (except login id and password) and gives admin the ability to verify the user information and to decide whether he is eligible to vote or not. It also creates and manages voting and election details as all the users must login by user name and password and click on candidates to register vote.

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41

Khan, Mumtaz, Shah Khusro, Iftikhar Alam, Shaukat Ali, and Inayat Khan. "Perspectives on the Design, Challenges, and Evaluation of Smart TV User Interfaces." Scientific Programming 2022 (February 23, 2022): 1–14. http://dx.doi.org/10.1155/2022/2775959.

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The user interface (UI) is a primary source of interaction with a device. Since the introduction of graphical user interface (GUI), software engineers and designers have been trying to make user-friendly UIs for various computing devices, including smartphones, tablets, and computers. The modern smart TV also comes with built-in operating systems. However, little attention has been given to this prominent entertainment device, i.e., smart TV. The technological advancement and proliferation of smart TV enabled the manufacturer to provide rich functionalities and features; however, this richness resulted in more clutter and attention-demanding interfaces. Besides, smart TV is a lean-back supporting device having a diverse range of users. Therefore, smart TV’s usability and user experience (UX) are questionable due to diverse user interests and limited features of traditional remote controls. This study aimed to discuss and critically analyze the features and functionalities of the existing well-known smart TV UIs of various operating systems in the context of usability, cognition, and UX. Moreover, this study highlights the issues and challenges in the current smart TV UIs and recommends some research opportunities to cope with the smart TV UIs. This study further reports and validates some overlooked factors affecting smart TV UIs and UX. A subjective study and usability tests from diverse users are presented to validate these factors. The study concludes that a one-size-fits-all UI design is unsuitable for shared devices, i.e., smart TV. This study further recommends a personalized adaptive UI, which may enhance the learnability and UXs of the smart TV viewers.

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42

Barone, Giuseppe, Giovanni Brusco, Alessandro Burgio, Daniele Menniti, Anna Pinnarelli, Michele Motta, Nicola Sorrentino, and Pasquale Vizza. "A Real-Life Application of a Smart User Network." Energies 11, no. 12 (December 15, 2018): 3504. http://dx.doi.org/10.3390/en11123504.

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Smart Community microgrids could help to improve overall energy efficiency reducing transmission and distribution losses and allowing the implementation of optimal load control and resource dispatching. In this context, the authors have proposed the realization of DC smart microgrids. They are considered as a future prospective according to the increase of DC loads and DC output type distribution energy sources such as Photovoltaic and energy storage systems. In this paper, a DC smart microgrid, called Smart User Network, realized in a real-life application as a part of pilot site under the national research project PON04_00146 Smart cities and Communities and Social innovation named “Reti, Edifici, Strade Nuovi Obiettivi Virtuosi per l’Ambiente e l’Energia” (RES NOVAE), is illustrated. The Smart User Network, is managed by a distributed and decentralized control logic, the DC Bus Signaling, which allows the converters to operate independently of each other according to a decentralized logic. It guarantees the reliability, the continuity and the quality of supply, optimizing the use of energy produced by renewable energy sources, also in stand-alone configuration. The most significant experimental results obtained both in grid-connected and stand-alone configuration are presented and discussed.

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43

Nagajayanthi, B., M. Vikneshrajan, and Kuppala Navya. "User authenticated smart home automation system with healthcare." Journal of Physics: Conference Series 2115, no. 1 (November 1, 2021): 012031. http://dx.doi.org/10.1088/1742-6596/2115/1/012031.

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Abstract Traditional home automation is inconvenient for aging people. Biometric based personalized smart phone secures smart home automation. Internet of Things (IoT) is envisioned as a promising solution in the thrusting arenas of healthcare, industries, home automation and other domains due to its significant contribution towards connectivity, security, sleek design, low power, low cost and low workforce. This has come a long way industrially and is making an impact in the domestic market after Covid-19 pandemic. Social distancing and contact less solution is the need of the hour. Life style of people has changed from home to workplace such as remote monitoring, collaborative online work-place and online classes. This has increased the economic status of the home automation products manufacturing industry. User Authenticated Smart Home Automation with Healthcare Architecture considers security along with healthcare. This takes into account IoT reusable design concept that uses in-built user specific biometrics in smart phone for secured authentication. IoT based electronics and electrical devices are remotely monitored. The user activity is monitored and archived for future retrieval. An ambient temperature is maintained to make sure that the devices are operated in near ideal circumstances to avoid thermal throttling and this extends the lifetime of the devices. Thermal throttling causes serious threats to the devices and to the human being. In the proposed User Authenticated Smart Home Automation System with Healthcare, smart home is secured using user specific biometric authentication; sanitizer is provided and temperature is measured on entry; thermal throttling due to devices is prevented by maintaining the room temperature thereby providing healthcare.

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Shin, Dongmin, Dongil Shin, and Dongkyoo Shin. "Implementation of Smart-Space Middleware Supporting Natural User Interface/Natural User Experience." Advanced Science Letters 21, no. 3 (March 1, 2015): 274–78. http://dx.doi.org/10.1166/asl.2015.5816.

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Vlachostergiou, Aggeliki, Georgios Stratogiannis, George Caridakis, George Siolas, and Phivos Mylonas. "User Adaptive and Context-Aware Smart Home Using Pervasive and Semantic Technologies." Journal of Electrical and Computer Engineering 2016 (2016): 1–20. http://dx.doi.org/10.1155/2016/4789803.

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Ubiquitous Computing is moving the interaction away from the human-computer paradigm and towards the creation of smart environments that users and things, from the IoT perspective, interact with. User modeling and adaptation is consistently present having the human user as a constant but pervasive interaction introduces the need for context incorporation towards context-aware smart environments. The current article discusses both aspects of the user modeling and adaptation as well as context awareness and incorporation into the smart home domain. Users are modeled as fuzzy personas and these models are semantically related. Context information is collected via sensors and corresponds to various aspects of the pervasive interaction such as temperature and humidity, but also smart city sensors and services. This context information enhances the smart home environment via the incorporation of user defined home rules. Semantic Web technologies support the knowledge representation of this ecosystem while the overall architecture has been experimentally verified using input from the SmartSantander smart city and applying it to the SandS smart home within FIRE and FIWARE frameworks.

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Kettschau, Anna, and Markus Michl. "User Attitude Toward a Novel Smart Heating System." Advanced Engineering Forum 19 (October 2016): 59–64. http://dx.doi.org/10.4028/www.scientific.net/aef.19.59.

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The paper presents the results of an accompanying socio-scientific research of a one-year field test in a multiple dwelling, in which the energy saving potential of a newly developed smart heating system was examined. To draw conclusions about the user’s acceptance of the smart heating system, the residents of the test object were surveyed in terms of their attitude towards the smart heating system. With regard to user acceptance, we state an ambivalent relationship of the users to the new technology. On the one hand, they are delighted with the system and the increased comfort concerning room temperature. On the other hand, they think that the costs will increase with higher comfort. The analysis shows that adopting a new technology goes along with different, partly competing attitudes.

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Wang, Bang Ju, and Huan Guo Zhang. "Cryptanalysis of a Remote User Authentication Scheme." Applied Mechanics and Materials 433-435 (October 2013): 1699–701. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.1699.

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Among many user authentications over insecure networks, password authentication is simple, convenient and widely adopted one. Chen and Lee proposed a new hash-based password authentication using smart card and claimed that their scheme could resist seven attacks as listed in their paper. However, in this paper, it is pointed out that Chen-Lee’s scheme is vulnerable to off-line password guessing, replay and impersonation attacks when the smart card is lost or stolen.

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Levonevskiy, Dmitriy, Irina Vatamaniuk, and Anton Saveliev. "Processing models for conflicting user requests in ubiquitous corporate smart spaces." MATEC Web of Conferences 161 (2018): 03006. http://dx.doi.org/10.1051/matecconf/201816103006.

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This paper considers processing of conflicting user requests in ubiquitous corporate smart spaces. The formulated problem consists in the contradiction between the limitation of available smart space resources to perform the conflicting user requests and necessity to provide the proper quality of service in corporate smart spaces. The principles of constructing the simulation model are described. The experiments were carried out basing on a model of the SPIIRAS digital signage service. Several task management strategies are discussed, an assessment of their effectiveness is given. The research is aimed at improving the quality of service and user experience in human-computer interaction within the corporate smart spaces.

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Wang, Jing Min, Maimaitiaili Wufuer, and Xiao Fan Guo. "Study on the User-Side Risk of Smart Grid System in Big Data Age." Applied Mechanics and Materials 494-495 (February 2014): 1743–46. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.1743.

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With the coming of big data age, Internet, finance and other industries have launched in-depth studies on big data technology. They hope to grasp the opportunities that big data brings to enterprises. Smart gird construction generated massive and heterogeneous data in the process of electricity generation, electricity transmission and electricity consumption, thus electricity big data took shape. Based on the analysis of Big Data characteristics of Smart gird user-side, this paper describes the risks that big data reduces on smart gird user-side from the perspectives of demand forecasting, customer complaint and operation risk that grid peak valley load brings. Meanwhile, it also expounds the risks that big data brings to Smart gird user-side from the perspectives of technology and user information security. Hope to provide some relevant materials of the Smart gird user-side risk management for our country.

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Sobhy, Shymaa, Eman M. Mohamed, Arabi Keshk, and Mahmoud Hussein. "Context-aware recommender system for multi-user smart home." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 3 (June 1, 2023): 3192. http://dx.doi.org/10.11591/ijece.v13i3.pp3192-3203.

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<span lang="EN-US">Smart home is one of the most important applications of the internet of things (IoT). Smart home makes life simpler, easier to control, saves energy based on user’s behavior and interaction with the home appliances. Many existing approaches have designed a smart home system using data mining algorithms. However, these approaches do not consider multiusers that exist in the same location and time (which needs a complex control). They also use centralized mining algorithm, then the system’s efficiency is reduced when datasets increase. Therefore, in this paper, we firstly build a context-aware recommender system that considers multi-user’s preferences and solves their conflicts by using unsupervised algorithms to deliver useful recommendation services. Secondly, we improve smart home’s responsive using parallel computing. The results reveal that the proposed method is better than existing approaches.</span>

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