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Journal articles on the topic 'Human-computer interaction Mobile computing. Artificial intelligence'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Ramasubbareddy, Somula, Evakattu Swetha, Ashish Kumar Luhach, and T. Aditya Sai Srinivas. "A Multi-Objective Genetic Algorithm-Based Resource Scheduling in Mobile Cloud Computing." International Journal of Cognitive Informatics and Natural Intelligence 15, no. 3 (2021): 58–73. http://dx.doi.org/10.4018/ijcini.20210701.oa5.

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Mobile cloud computing is an emerging technology in recent years. This technology reduces battery consumption and execution time by executing mobile applications in remote cloud server. The virtual machine (VM) load balancing among cloudlets in MCC improves the performance of application in terms of response time. Genetic algorithm (GA) is popular for providing optimal solution for load balancing problems. GA can perform well in both homogeneous and heterogeneous environments. In this paper, the authors consider multi-objective genetic algorithm for load balancing in MCC (MOGALMCC) environment

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Tanaka, Kazuo. "Advanced Computational Intelligence in Control Theory and Applications." Journal of Advanced Computational Intelligence and Intelligent Informatics 3, no. 2 (1999): 67. http://dx.doi.org/10.20965/jaciii.1999.p0067.

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We are witnessing a rapidly growing interest in the field of advanced computational intelligence, a "soft computing" technique. As Prof. Zadeh has stated, soft computing integrates fuzzy logic, neural networks, evolutionary computation, and chaos. Soft computing is the most important technology available for designing intelligent systems and control. The difficulties of fuzzy logic involve acquiring knowledge from experts and finding knowledge for unknown tasks. This is related to design problems in constructing fuzzy rules. Neural networks and genetic algorithms are attracting attention for t

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Kiguchi, Kazuo, Keigo Watanabe, and Toshio Fukuda. "Trajectory Planning of Mobile Robots Using DNA Computing." Journal of Advanced Computational Intelligence and Intelligent Informatics 8, no. 3 (2004): 295–301. http://dx.doi.org/10.20965/jaciii.2004.p0295.

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DNA computers are attracting increasing attention as next-generation replacements for conventional electronic computers. Computation is realized using the chemical reaction of DNA. This paper presents optimal trajectory planning for mobile robots using DNA computing. The working area of a mobile robot is divided into many sections and the shortest trajectory avoiding obstacles in the work area is calculated by DNA computing. The location of obstacles is known in advance. In DNA computing, Watson-Crick pairing is used to find this trajectory. DNA sequences representing locations of obstacles ar

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Huang, Su-Zhen, Min Wu, and Yong-Hua Xiong. "Mobile Transparent Computing to Enable Ubiquitous Operating Systems and Applications." Journal of Advanced Computational Intelligence and Intelligent Informatics 18, no. 1 (2014): 32–39. http://dx.doi.org/10.20965/jaciii.2014.p0032.

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Mobile devices have emerged as an indispensable part of our daily life, one that has resulted in an increased demand for mobile devices to be able to access the Internet and obtain a variety of network services. However, mobile devices are often constrained by limited storage, huge power consumption, and low processing capability. This paper presents a new computing mode, mobile transparent computing (MTC), which combines ubiquitous mobile networks with transparent computing, to address the above challenges and possibly to enable a new world of ubiquitous operating systems (OSes) and applicati

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Bessghaier, Narjes, Makram Soui, Christophe Kolski, and Mabrouka Chouchane. "On the Detection of Structural Aesthetic Defects of Android Mobile User Interfaces with a Metrics-based Tool." ACM Transactions on Interactive Intelligent Systems 11, no. 1 (2021): 1–27. http://dx.doi.org/10.1145/3410468.

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Smartphone users are striving for easy-to-learn and use mobile apps user interfaces. Accomplishing these qualities demands an iterative evaluation of the Mobile User Interface (MUI). Several studies stress the value of providing a MUI with a pleasing look and feel to engaging end-users. The MUI, therefore, needs to be free from all kinds of structural aesthetic defects. Such defects are indicators of poor design decisions interfering with the consistency of a MUI and making it more difficult to use. To this end, we are proposing a tool (Aesthetic Defects DEtection Tool (ADDET)) to determine th

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Agmon, Noa, Vikas Agrawal, David W. Aha, et al. "Reports of the AAAI 2011 Conference Workshops." AI Magazine 33, no. 1 (2012): 57–70. http://dx.doi.org/10.1609/aimag.v33i1.2390.

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The AAAI-11 workshop program was held Sunday and Monday, August 7–18, 2011, at the Hyatt Regency San Francisco in San Francisco, California USA. The AAAI-11 workshop program included 15 workshops covering a wide range of topics in artificial intelligence. The titles of the workshops were Activity Context Representation: Techniques and Languages; Analyzing Microtext; Applied Adversarial Reasoning and Risk Modeling; Artificial Intelligence and Smarter Living: The Conquest of Complexity; AI for Data Center Management and Cloud Computing; Automated Action Planning for Autonomous Mobile Robots; Com

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Goksel Canbek, Nil, and Mehmet Emin Mutlu. "On the track of Artificial Intelligence: Learning with Intelligent Personal Assistants." International Journal of Human Sciences 13, no. 1 (2016): 592. http://dx.doi.org/10.14687/ijhs.v13i1.3549.

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<p>In a technology dominated world, useful and timely information can be accessed quickly via Intelligent Personal Assistants (IPAs). By the use of these assistants built into mobile operating systems, daily electronic tasks of a user can be accomplished 24/7. Such tasks like taking dictation, getting turn-by-turn directions, vocalizing email messages, reminding daily appointments, setting reminders, responding any factual questions and invoking apps can be completed by IPAs such as Apple’s <a href="http://searchconsumerization.techtarget.com/definition/Siri" target="_blank">Siri&l

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Meng, Max Q.-H., and Hong Zhang. "Perspectives of Computational Intelligence in Robotics and Automation." Journal of Advanced Computational Intelligence and Intelligent Informatics 8, no. 3 (2004): 235–36. http://dx.doi.org/10.20965/jaciii.2004.p0235.

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As people attempt to build biomimetic robots and realize automation processes through artificial intelligence, computational intelligence plays a very important role in robotics and automation. This special issue contains several important papers that address various aspects of computational intelligence in robotics and automation. While acknowledging its limited coverage, this special issue offers a range of interesting contributions such as intelligent trajectory planning for flying and land mobile robots, fuzzy decision making, control of rigid and teleoperated robots, modeling of human sen

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Jin, Lin, and Changhong Yan. "Research on Key Technologies of Massive Videos Management Under the Background of Cloud Platform." Journal of Advanced Computational Intelligence and Intelligent Informatics 23, no. 1 (2019): 72–77. http://dx.doi.org/10.20965/jaciii.2019.p0072.

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With the rapid development of mobile internet and smart city, video surveillance is popular in areas such as transportation, schools, homes, and shopping malls. It is important subject to manage the massive videos quickly and accurately. This paper tries to use Hadoop cloud platform for massive video data storage, transcoding and retrieval. The key technologies of cloud computing and Hadoop are introduced firstly in the paper. Then, we analyze the functions of video management platform, such as user management, videos storage, videos transcoding, and videos retrieval. According to the basic fu

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Liu, Peter Xiaoping, Max Q.-H. Meng, and Jason J. Gu. "Intelligent Scaling Control for Internet-Based Teleoperation." Journal of Advanced Computational Intelligence and Intelligent Informatics 8, no. 3 (2004): 275–83. http://dx.doi.org/10.20965/jaciii.2004.p0275.

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In this paper we present an intelligent scaling control algorithm, which is based on the hierarchical decomposition and dynamic assignment of tasks between the human operator and the on-board controller of the remote robot, for mobile robot teleoperation over the Internet. This control scheme relies on the real-time estimation of concurrent roundtrip delays in order to assign tasks between the user and the robot optimally. For this purpose, we employ a linear neural network for which most conventional learning algorithms are infeasible since their required computation is usually too intensive

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Daniel D., Preethi N., Aishwarya Jakka, and Sivaraman Eswaran. "Collaborative Intrusion Detection System in Cognitive Smart City Network (CSC-Net)." International Journal of Knowledge and Systems Science 12, no. 1 (2021): 60–73. http://dx.doi.org/10.4018/ijkss.2021010105.

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Smart environment is about incorporating smart thinking in the environment and implementing the technical intervention that improvise the city's environment. Artificial intelligence (AI) provides solutions in huge technological issues in various aspects of day-to-day life such as autonomous transportation, governance, healthcare, agriculture, maintenance, logistics, and education that are automated, managed, controlled, and accessed remotely with the aid of smart devices. Cognitive computing is denoted as a next-generation AI-dependent method that gives human-computer interactions with persona

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Khoa, Tran Anh, Le Mai Bao Nhu, Hoang Hai Son, et al. "Designing Efficient Smart Home Management with IoT Smart Lighting: A Case Study." Wireless Communications and Mobile Computing 2020 (November 20, 2020): 1–18. http://dx.doi.org/10.1155/2020/8896637.

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Smart homes are an element of developing smart cities. In recent years, countries around the world have spared no effort in promoting smart cities. Smart homes are an interesting technological advancement that can make people’s lives much more convenient. The development of smart homes involves multiple technological aspects, which include big data, mobile networks, cloud computing, Internet of Things, and even artificial intelligence. Digital information is the main component of signal control and flow in a smart home, while information security is another important aspect. In the event of eq

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Ye, Jiancheng. "Pediatric Mental and Behavioral Health in the Period of Quarantine and Social Distancing With COVID-19." JMIR Pediatrics and Parenting 3, no. 2 (2020): e19867. http://dx.doi.org/10.2196/19867.

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The coronavirus disease (COVID-19) pandemic has spread rapidly throughout the world and has had a long-term impact. The pandemic has caused great harm to society and caused serious psychological trauma to many people. Children are a vulnerable group in this global public health emergency, as their nervous systems, endocrine systems, and hypothalamic-pituitary-adrenal axes are not well developed. Psychological crises often cause children to produce feelings of abandonment, despair, incapacity, and exhaustion, and even raise the risk of suicide. Children with mental illnesses are especially vuln

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Бождай, Александр, Aleksandr Bozhday, Александр Бершадский, Aleksandr Bershadskiy, Вардан Мкртчан, and Vardan Mkrtchan. "Knowledge management methods in next-generation E/U Learning systems." Russian Journal of Management 3, no. 4 (2015): 352–60. http://dx.doi.org/10.12737/13099.

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The article discusses the methods of knowledge management for E/U-Learning systems, which will provide the opportunities for the construction of a unified all-pervasive electronic educational environment. Authors analyze the development of a new phase of e-learning (E-Learning 3.0) in which will play an important role distributed computer systems, cloud computing, mobile personal devices and wireless networks, artificial intelligence and virtual reality tools. Today, there is a fundamental scientific problem of creating a unified interstate intellectual environment for e-education services. Th

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Aiolli, Fabio, and Claudio E. Palazzi. "Enhancing Artificial Intelligence on a Real Mobile Game." International Journal of Computer Games Technology 2009 (2009): 1–9. http://dx.doi.org/10.1155/2009/456169.

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Mobile games represent a killer application that is attracting millions of subscribers worldwide. One of the aspects crucial to the commercial success of a game is ensuring an appropriately challenging artificial intelligence (AI) algorithm against which to play. However, creating this component is particularly complex as classic search AI algorithms cannot be employed by limited devices such as mobile phones or, even on more powerful computers, when considering imperfect information games (i.e., games in which participants do not a complete knowledge of the game state at any moment). In this

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16

Ortega, Manuel. "Computer-Human Interaction and Collaboration: Challenges and Prospects." Electronics 10, no. 5 (2021): 616. http://dx.doi.org/10.3390/electronics10050616.

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Through a series of projects carried out by the Computer–Human Interaction and COllaboration (CHICO) group of the University of Castilla-La Mancha, some proposals are presented to improve the current e-Learning systems by making use of different paradigms of human-computer interaction. Synchronous and asynchronous collaborative systems, ubiquitous computing, and augmented reality can improve the current learning environments. The use of artificial intelligence mechanisms for both learner support and assessment complements these techniques. Emphasis is also placed on the use of automatic applic

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Wang, Yingxu, Lotfi A. Zadeh, Bernard Widrow, et al. "Abstract Intelligence." International Journal of Cognitive Informatics and Natural Intelligence 11, no. 1 (2017): 1–15. http://dx.doi.org/10.4018/ijcini.2017010101.

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Basic studies in denotational mathematics and mathematical engineering have led to the theory of abstract intelligence (aI), which is a set of mathematical models of natural and computational intelligence in cognitive informatics (CI) and cognitive computing (CC). Abstract intelligence triggers the recent breakthroughs in cognitive systems such as cognitive computers, cognitive robots, cognitive neural networks, and cognitive learning. This paper reports a set of position statements presented in the plenary panel (Part II) of IEEE ICCI*CC'16 on Cognitive Informatics and Cognitive Computing at

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Wang, Yingxu, George Baciu, Yiyu Yao, et al. "Perspectives on Cognitive Informatics and Cognitive Computing." International Journal of Cognitive Informatics and Natural Intelligence 4, no. 1 (2010): 1–29. http://dx.doi.org/10.4018/jcini.2010010101.

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Cognitive informatics is a transdisciplinary enquiry of computer science, information sciences, cognitive science, and intelligence science that investigates the internal information processing mechanisms and processes of the brain and natural intelligence, as well as their engineering applications in cognitive computing. Cognitive computing is an emerging paradigm of intelligent computing methodologies and systems based on cognitive informatics that implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain. This article presents a set

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19

Wang, Ting. "Intelligent employment rate prediction model based on a neural computing framework and human–computer interaction platform." Neural Computing and Applications 32, no. 21 (2019): 16413–26. http://dx.doi.org/10.1007/s00521-019-04019-w.

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Wang, Yingxu, James A. Anderson, George Baciu, et al. "Perspectives on eBrain and Cognitive Computing." International Journal of Cognitive Informatics and Natural Intelligence 6, no. 4 (2012): 1–21. http://dx.doi.org/10.4018/jcini.2012100101.

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Cognitive Informatics (CI) is a discipline spanning across computer science, information science, cognitive science, brain science, intelligence science, knowledge science, and cognitive linguistics. CI aims to investigate the internal information processing mechanisms and processes of the brain, the underlying abstract intelligence theories and denotational mathematics, and their engineering applications in cognitive computing and computational intelligence. This paper reports a set of nine position statements presented in the plenary panel of IEEE ICCI*CC’12 on eBrain and Cognitive Computers

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Zhang, Weishan, Huansheng Ning, Lu Liu, Qun Jin, and Vincenzo Piuri. "Guest Editorial: Special Issue on Hybrid Human–Artificial Intelligence for Social Computing." IEEE Transactions on Computational Social Systems 8, no. 1 (2021): 118–21. http://dx.doi.org/10.1109/tcss.2021.3049702.

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22

Ramdane-Cherif, Amar. "Toward Autonomic Computing." International Journal of Cognitive Informatics and Natural Intelligence 1, no. 2 (2007): 16–33. http://dx.doi.org/10.4018/jcini.2007040102.

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Wang, Yingxu, Bernard Widrow, Lotfi A. Zadeh, et al. "Cognitive Intelligence." International Journal of Cognitive Informatics and Natural Intelligence 10, no. 4 (2016): 1–20. http://dx.doi.org/10.4018/ijcini.2016100101.

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The theme of IEEE ICCI*CC'16 on Cognitive Informatics (CI) and Cognitive Computing (CC) was on cognitive computers, big data cognition, and machine learning. CI and CC are a contemporary field not only for basic studies on the brain, computational intelligence theories, and denotational mathematics, but also for engineering applications in cognitive systems towards deep learning, deep thinking, and deep reasoning. This paper reports a set of position statements presented in the plenary panel (Part I) in IEEE ICCI*CC'16 at Stanford University. The summary is contributed by invited panelists who

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Boyne, Chris. "Notes towards a definition of human-centred computing." AI & Society 8, no. 1 (1994): 60–70. http://dx.doi.org/10.1007/bf02065178.

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CHEOK, ADRIAN DAVID, MAN FUNG HO, EVA YUSTINA, and SHANG PING LEE. "MOBILE COMPUTING WITH PERSONAL AREA NETWORK AND HUMAN POWER GENERATION." International Journal of Software Engineering and Knowledge Engineering 15, no. 02 (2005): 169–75. http://dx.doi.org/10.1142/s0218194005002348.

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For mobile computing system such as wearable computer, one of the most critical hardware issues is the provision of electric power. Various different sources of power for wearable computer have been investigated; however, we are interested only in power that can be generated in-situ, such as human power. This paper describes a novel mean of multiple source human power generation for small wearable electronic devices, and then demonstrates the digital information transfer between wearable computing devices by using human skin as "antenna". There are a wide range of peripheral devices in a mobil

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Whitby, Blay. "Computing machinery and morality." AI & SOCIETY 22, no. 4 (2007): 551–63. http://dx.doi.org/10.1007/s00146-007-0100-y.

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Amato, Christopher, Ofra Amir, Joanna Bryson, et al. "Reports of the AAAI 2016 Spring Symposium Series." AI Magazine 37, no. 4 (2017): 83–88. http://dx.doi.org/10.1609/aimag.v37i4.2691.

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The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, presented the 2016 Spring Symposium Series on Monday through Wednesday, March 21-23, 2016 at Stanford University. The titles of the seven symposia were (1) AI and the Mitigation of Human Error: Anomalies, Team Metrics and Thermodynamics; (2) Challenges and Opportunities in Multiagent Learning for the Real World (3) Enabling Computing Research in Socially Intelligent Human-Robot Interaction: A Community-Driven Modular Research Platform; (4) Ethical and Moral

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Michelfelder, Diane P. "Philosophy, privacy, and pervasive computing." AI & SOCIETY 25, no. 1 (2009): 61–70. http://dx.doi.org/10.1007/s00146-009-0233-2.

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Truckenbrod, Joan. "Women and the social construction of the computing culture: Evolving new forms of computing." AI & Society 7, no. 4 (1993): 345–57. http://dx.doi.org/10.1007/bf01891416.

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Rueben, Matthew, Jeffrey Klow, Madelyn Duer, et al. "Mental Models of a Mobile Shoe Rack." ACM Transactions on Human-Robot Interaction 10, no. 2 (2021): 1–36. http://dx.doi.org/10.1145/3442620.

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Most people do not have direct access to knowledge about the inner workings of robots. Instead, they must develop mental models of the robot, a process that is not well understood. This article presents findings from a long-term, in-the-wild, qualitative, hypothesis-generating study of the mental model formation process. The focus was on how (qualitatively) users form mental models of the robot—specifically its perceptual capabilities, rules of behavior, and communication with other humans. Participants of diverse ages had multiple interactions with the robot over six weeks in a non-laboratory

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31

Zhou, Bing. "A Logic Approach to Granular Computing." International Journal of Cognitive Informatics and Natural Intelligence 2, no. 2 (2008): 63–79. http://dx.doi.org/10.4018/jcini.2008040104.

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Pullum, Geoffrey K. "Natural language interfaces and strategic computing." AI & Society 1, no. 1 (1987): 47–58. http://dx.doi.org/10.1007/bf01905889.

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Wang, Yingxu, Gabriele Fariello, Marina L. Gavrilova, et al. "Perspectives on Cognitive Computers and Knowledge Processors." International Journal of Cognitive Informatics and Natural Intelligence 7, no. 3 (2013): 1–24. http://dx.doi.org/10.4018/ijcini.2013070101.

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Cognitive Informatics (CI) is a contemporary multidisciplinary field spanning across computer science, information science, cognitive science, brain science, intelligence science, knowledge science, cognitive linguistics, and cognitive philosophy. CI aims to investigate the internal information processing mechanisms and processes of the brain, the underlying abstract intelligence theories and denotational mathematics, and their engineering applications in cognitive computing and computational intelligence. This paper reports a set of eleven position statements presented in the plenary panel of

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Wibig, Tadeusz. "Autonomic Computing for a Complex Problem of Experimental Physics." International Journal of Cognitive Informatics and Natural Intelligence 4, no. 3 (2010): 18–28. http://dx.doi.org/10.4018/jcini.2010070102.

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Standard experimental data analysis is based mainly on conventional, deterministic inference. The complexity of modern physics problems has become so large that new ideas in the field are received with the highest of appreciation. In this paper, the author has analyzed the problem of contemporary high-energy physics concerning the estimation of some parameters of the observed complex phenomenon. This article confronts the Natural and Artificial Networks performance with the standard statistical method of the data analysis and minimization. The general concept of the relations between CI and st

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Molyneaux, David, Hans Gellersen, and Joe Finney. "Cooperative augmentation of mobile smart objects with projected displays." ACM Transactions on Interactive Intelligent Systems 3, no. 2 (2013): 1–35. http://dx.doi.org/10.1145/2499474.2499476.

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Chiou, Manolis, Nick Hawes, and Rustam Stolkin. "Mixed-initiative Variable Autonomy for Remotely Operated Mobile Robots." ACM Transactions on Human-Robot Interaction 10, no. 4 (2021): 1–34. http://dx.doi.org/10.1145/3472206.

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This article presents an Expert-guided Mixed-initiative Control Switcher (EMICS) for remotely operated mobile robots. The EMICS enables switching between different levels of autonomy during task execution initiated by either the human operator and/or the EMICS. The EMICS is evaluated in two disaster-response-inspired experiments, one with a simulated robot and test arena, and one with a real robot in a realistic environment. Analyses from the two experiments provide evidence that: (a) Human-Initiative (HI) systems outperform systems with single modes of operation, such as pure teleoperation, i

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Hezarjaribi, Niloofar, Sepideh Mazrouee, Saied Hemati, Naomi S. Chaytor, Martine Perrigue, and Hassan Ghasemzadeh. "Human-in-the-loop Learning for Personalized Diet Monitoring from Unstructured Mobile Data." ACM Transactions on Interactive Intelligent Systems 9, no. 4 (2019): 1–24. http://dx.doi.org/10.1145/3319370.

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Wang, Yingxu, Robert C. Berwick, Simon Haykin, et al. "Cognitive Informatics and Cognitive Computing in Year 10 and Beyond." International Journal of Cognitive Informatics and Natural Intelligence 5, no. 4 (2011): 1–21. http://dx.doi.org/10.4018/jcini.2011100101.

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Cognitive Informatics (CI) is a transdisciplinary enquiry of computer science, information sciences, cognitive science, and intelligence science that investigates into the internal information processing mechanisms and processes of the brain and natural intelligence, as well as their engineering applications in cognitive computing. The latest advances in CI leads to the establishment of cognitive computing theories and methodologies, as well as the development of Cognitive Computers (CogC) that perceive, infer, and learn. This paper reports a set of nine position statements presented in the pl

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Nazir, Sajid, Shushma Patel, and Dilip Patel. "Autonomic Computing Architecture for SCADA Cyber Security." International Journal of Cognitive Informatics and Natural Intelligence 11, no. 4 (2017): 66–79. http://dx.doi.org/10.4018/ijcini.2017100104.

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Autonomic computing paradigm is based on intelligent computing systems that can autonomously take actions under given conditions. These technologies have been successfully applied to many problem domains requiring autonomous operation. One such area of national interest is SCADA systems that monitor critical infrastructures such as transportation networks, large manufacturing, business and health facilities, power generation, and distribution networks. The SCADA systems have evolved into a complex, highly connected system requiring high availability. On the other hand, cyber threats to these i

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KOUTLEMANIS, PANAGIOTIS, ANTONIOS NTELIDAKIS, XENOPHON ZABULIS, DIMITRIS GRAMMENOS, and ILIA ADAMI. "A STEERABLE MULTITOUCH DISPLAY FOR SURFACE COMPUTING AND ITS EVALUATION." International Journal on Artificial Intelligence Tools 22, no. 06 (2013): 1360016. http://dx.doi.org/10.1142/s0218213013600166.

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In this paper, a steerable, interactive projection display that has the shape of a disk is presented. Interactivity is provided through sensitivity to the contact of multiple fingertips and is achieved through the use of a RGBD camera. The surface is mounted on two gimbals which, in turn, provide two rotational degrees of freedom. Modulation of surface posture supports the ergonomy of the device but can be, alternatively, used as a means of user-interface input. The geometry for mapping visual content and localizing fingertip contacts upon this steerable display is provided, along with pertine

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Salvini, Pericle, Diego Paez-Granados, and Aude Billard. "On the Safety of Mobile Robots Serving in Public Spaces." ACM Transactions on Human-Robot Interaction 10, no. 3 (2021): 1–27. http://dx.doi.org/10.1145/3442678.

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Since 2014, a specific standard has been dedicated for the safety certification of personal care robots, which operate in close proximity to humans. These robots serve as information providers, object transporters, personal mobility carriers, and security patrollers. In this article, we point out the shortcomings concerning EN ISO 13482:2014, which encompasses guidelines regarding the safety and design of personal care robots. In particular, we argue that the current standard is not suitable for guaranteeing people's safety when these robots operate in public spaces. Specifically, the standard

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Mohan, H. M., S. Anitha, Rifai Chai, and Sai Ho Ling. "Edge Artificial Intelligence: Real-Time Noninvasive Technique for Vital Signs of Myocardial Infarction Recognition Using Jetson Nano." Advances in Human-Computer Interaction 2021 (August 3, 2021): 1–19. http://dx.doi.org/10.1155/2021/6483003.

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The history of medicine shows that myocardial infarction is one of the significant causes of death in humans. The rapid evolution in autonomous technologies, the rise of computer vision, and edge computing offers intriguing possibilities in healthcare monitoring systems. The major motivation of the work is to improve the survival rate during a cardiac arrest through an automatic emergency recognition system under ambient intelligence. We present a novel approach to chest pain and fall posture-based vital sign detection using an intelligence surveillance camera to address the emergency during m

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Berzowska, Joanna. "Personal technologies: memory and intimacy through physical computing." AI & SOCIETY 20, no. 4 (2006): 446–61. http://dx.doi.org/10.1007/s00146-006-0033-x.

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Ord, Jacqueline G. "The ethics of NHS computing: A terminal case." AI & Society 9, no. 1 (1995): 80–90. http://dx.doi.org/10.1007/bf01174480.

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Wang, Yingxu. "Towards the Synergy of Cognitive Informatics, Neural Informatics, Brain Informatics, and Cognitive Computing." International Journal of Cognitive Informatics and Natural Intelligence 5, no. 1 (2011): 75–93. http://dx.doi.org/10.4018/jcini.2011010105.

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The contemporary wonder of sciences and engineering recently refocused on the starting point: how the brain processes internal and external information autonomously rather than imperatively as those of conventional computers? This paper explores the interplay and synergy of cognitive informatics, neural informatics, abstract intelligence, denotational mathematics, brain informatics, and computational intelligence. A key notion recognized in recent studies in cognitive informatics is that the root and profound objective in natural, abstract, and artificial intelligence, and in cognitive informa

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Wang, Kongqiao, Lei Xu, Yikai Fang, and Jiangwei Li. "One-against-all frame differences based hand detection for human and mobile interaction." Neurocomputing 120 (November 2013): 185–91. http://dx.doi.org/10.1016/j.neucom.2012.06.057.

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Uchiya, Takahiro, Takahide Maemura, Hideki Hara, Kenji Sugawara, and Tetsuo Kinoshita. "Interactive Design Method of Agent System for Symbiotic Computing." International Journal of Cognitive Informatics and Natural Intelligence 3, no. 1 (2009): 57–74. http://dx.doi.org/10.4018/jcini.2009010104.

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Liu, Guilong, and William Zhu. "Approximations in Rough Sets vs Granular Computing for Coverings." International Journal of Cognitive Informatics and Natural Intelligence 4, no. 2 (2010): 63–76. http://dx.doi.org/10.4018/jcini.2010040105.

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Rough set theory is an important technique in knowledge discovery in databases. Classical rough set theory proposed by Pawlak is based on equivalence relations, but many interesting and meaningful extensions have been made based on binary relations and coverings, respectively. This paper makes a comparison between covering rough sets and rough sets based on binary relations. This paper also focuses on the authors’ study of the condition under which the covering rough set can be generated by a binary relation and the binary relation based rough set can be generated by a covering.

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Liu, Zhen, Nathalie Japkowicz, Ruoyu Wang, and Deyu Tang. "Adaptive learning on mobile network traffic data." Connection Science 31, no. 2 (2018): 185–214. http://dx.doi.org/10.1080/09540091.2018.1512557.

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Wyld, Christopher. "Simple support for mobile workers and users." AI & SOCIETY 19, no. 4 (2005): 563–64. http://dx.doi.org/10.1007/s00146-005-0332-7.

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