Artículos de revistas: "Human-computer interaction Mobile computing. Artificial intelligence"

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Ramasubbareddy, Somula, Evakattu Swetha, Ashish Kumar Luhach y 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, n.º 3 (julio de 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. In MOGALMCC, they consider distance, bandwidth, memory, and cloudlet server load to find optimal cloudlet before scheduling VM in another cloudlet. The framework MOGALMCC aims to improve response time as well as minimizes VM failure rate. The experiment result shows that proposed model performed well by reducing execution time and task waiting time at server.

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Tanaka, Kazuo. "Advanced Computational Intelligence in Control Theory and Applications". Journal of Advanced Computational Intelligence and Intelligent Informatics 3, n.º 2 (20 de abril de 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 their potential in raising the efficiency of knowledge finding and acquisition. Combining the technologies of fuzzy logic and neural networks and genetic algorithms, i.e., soft computing techniques will have a tremendous impact on the fields of intelligent systems and control design. To explain the apparent success of soft computing, we must determine the basic capabilities of different soft computing frameworks. Give the great amount of research being done in these fields, this issue addresses fundamental capabilities. This special issue is devoted to advancing computational intelligence in control theory and applications. It contains nine excellent papers dealing with advanced computational intelligence in control theory and applications such as fuzzy control and stability, mobile robot control, neural networks, gymnastic bar action, petroleum plant control, genetic programming, Petri net, and modeling and prediction of complex systems. As editor of this special issue, I believe that the excellent research results it contains provide the basis for leadership in coming research on advanced computational intelligence in control theory and applications.

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Kiguchi, Kazuo, Keigo Watanabe y Toshio Fukuda. "Trajectory Planning of Mobile Robots Using DNA Computing". Journal of Advanced Computational Intelligence and Intelligent Informatics 8, n.º 3 (20 de mayo de 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 are removed in this process. The shortest DNA molecule that begins with the start section and terminates with the goal section represents the shortest trajectory avoiding obstacles in the robot’s work area. The proposed algorithm is especially effective with a DNA molecular computer.

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Huang, Su-Zhen, Min Wu y Yong-Hua Xiong. "Mobile Transparent Computing to Enable Ubiquitous Operating Systems and Applications". Journal of Advanced Computational Intelligence and Intelligent Informatics 18, n.º 1 (20 de enero de 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 applications with the following characteristics: (1) Mobile devices with no OSes pre-installed are able to load and boot multiple OSes on demand through a transparent network; (2) All resources, including the operating system (OS), applications, and user data, are stored on a transparent server (TS) rather than a mobile terminal, and can be streamed to be executed on mobile devices in small execution blocks; (3) All the personalized services (applications and data) can be synchronized to any other devices with the same user credential. Specifically, we propose a Pre OS technique, which can achieve feature (1) in the MTC model by initializing the mobile device and driving a network interface card (NIC) prior to OS loading, thereby transferring the needed OS streaming block to the mobile device. Experimental results conducted on the tablet demo-board with the model OK6410 based on the ARM11 architecture demonstrate that the Pre OS is able to support remote boot and streaming execution for both Android and Linux OS with satisfactory performance.

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Bessghaier, Narjes, Makram Soui, Christophe Kolski y 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, n.º 1 (10 de marzo de 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 the structural aesthetic dimension of MUIs. Automating this process is useful to designers in evaluating the quality of their designs. Our approach is composed of two modules. (1) Metrics assessment is based on the static analysis of a tree-structured layout of the MUI. We used 15 geometric metrics (also known as structural or aesthetic metrics) to check various structural properties before a defect is triggered. (2) Defects detection: The manual combination of metrics and defects are time-consuming and user-dependent when determining a detection rule. Thus, we perceive the process of identification of defects as an optimization problem. We aim to automatically combine the metrics related to a particular defect and optimize the accuracy of the rules created by assigning a weight, representing the metric importance in detecting a defect. We conducted a quantitative and qualitative analysis to evaluate the accuracy of the proposed tool in computing metrics and detecting defects. The findings affirm the tool’s reliability when assessing a MUI’s structural design problems with 71% accuracy.

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Agmon, Noa, Vikas Agrawal, David W. Aha, Yiannis Aloimonos, Donagh Buckley, Prashant Doshi, Christopher Geib et al. "Reports of the AAAI 2011 Conference Workshops". AI Magazine 33, n.º 1 (15 de marzo de 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; Computational Models of Natural Argument; Generalized Planning; Human Computation; Human-Robot Interaction in Elder Care; Interactive Decision Theory and Game Theory; Language-Action Tools for Cognitive Artificial Agents: Integrating Vision, Action and Language; Lifelong Learning; Plan, Activity, and Intent Recognition; and Scalable Integration of Analytics and Visualization. This article presents short summaries of those events.

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Goksel Canbek, Nil y Mehmet Emin Mutlu. "On the track of Artificial Intelligence: Learning with Intelligent Personal Assistants". International Journal of Human Sciences 13, n.º 1 (28 de enero de 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</a>, <a href="http://whatis.techtarget.com/definition/Google-Now" target="_blank">Google Now</a> and Microsoft Cortana. The mentioned assistants programmed within Artificial Intelligence (AI) do create an interaction between human and computer through a natural language used in digital communication. In this regard, the overall purpose of this study is to examine the potential use of IPAs that use advanced cognitive computing technologies and Natural Language Processing (NLP) for learning. To achieve this purpose, the working system of IPAs is reviewed briefly within the scope of AI that has recently become smarter to predict, comprehend and carry out multi-step and complex requests of users.</p>

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Meng, Max Q.-H. y Hong Zhang. "Perspectives of Computational Intelligence in Robotics and Automation". Journal of Advanced Computational Intelligence and Intelligent Informatics 8, n.º 3 (20 de mayo de 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 sensations, and intelligent sensor fusion techniques. Let us scan through these contributions of this special issue. The first paper, "Planar Spline Trajectory Following for an Autonomous Helicopter," by Harbick et al., proposes a technique for planar trajectory following for an autonomous aerial robot. A trajectory is modeled as a planar spline. A behavior-based control system stabilizes the robot and enforces trajectory following of an autonomous helicopter with a reasonable trajectory tracking error on the order of the size of the helicopter (1.8m). In the second paper, "A Biologically Inspired Approach to Collision-Free Path Planning and Tracking Control of a Mobile Robot," by Yang et al., a novel biologically inspired neural network approach is proposed for dynamic collision-free path planning and stable tracking control of a nonholonomic mobile robot in a non-stationary environment, based on shunting equations derived from Hodgkin and Huxley's biological membrane equation. The third paper, "Composite Fuzzy Measure and Its Application to Decision Making," by Kaino and Kaoru, builds a composite fuzzy measure from fuzzy measures defined on fuzzy measurable spaces using composite fuzzy weights by the authors, with a successful application to an automobile factory capital investment decision making problem. In "Intelligent Control of a Miniature Climbing Robot," by Xiao et al., a fuzzy logic based intelligent optimal control system for a miniature climbing robot to achieve precision motion control, minimized power consumption, and versatile behaviors is presented with validation via experimental studies. The fifth paper, "Incorporating Motivation in a Hybrid Robot Architecture," by Stoytchev and Arkin, describes a hybrid mobile robot architecture capable of deliberative planning, reactive control, and motivational drives, which addresses three main challenges for robots living in human-inhabited environments: operating in dynamic and unpredictable environment, dealing with high-level human commands, and engaging human users. Experimental results for a fax delivery mission in a normal office environment are included. In the next paper, "Intelligent Scaling Control for Internet-based Teleoperation," by Liu et al., an adaptive scaling control scheme, with a neural network based time-delay prediction algorithm trained using the maximum entropy principle, is proposed with successful experimental studies on an Internet mobile robot platform. The next paper, "Feature Extraction of Robot Sensor Data Using Factor Analysis for Behavior Learning," by Fung and Liu, discusses important knowledge extraction of sensor data for robot behavior learning using a new approach based on the inter-correlation of sensor data via factor analysis and construction of logical perceptual space by hypothetical latent factors. Experimental results are included to demonstrate the process of logical perceptual space extraction from ultrasonic range data for robot behavior learning. "Trajectory Planning of Mobile Robots Using DNA Computing," by Kiguchi et al., presents an optimal trajectory planning method for mobile robots using Watson-Crick pairing to find the shortest trajectory in the robot working area with the DNA sequences representing the locations of the obstacles removed during the process. The proposed algorithm is especially suitable for computing on a DNA molecular computer. In the ninth paper, "Computational Intelligence for Modeling Human Sensations in Virtual Environments," by Lee and Xu, cascade neural networks with node-decoupled extended Kalman filter training for modeling human sensations in virtual environments are proposed, with a stochastic similarity measure based on hidden Markov models to calculate the relative similarity between model-generated sensations and actual human sensations. A new input selection technique, based on independent component analysis capable of reducing the data size and selecting the stimulus information, is developed and reported. The next paper, "Intelligent Sensor Fusion in Robotic Prosthetic Eye System," by Gu et al., is concerned with the design, sensing and control of a robotic prosthetic eye that moves horizontally in synchronization with the movement of the natural eye. It discusses issues on sensor failure detection and recovery and sensor data fusion techniques using statistical methods and artificial neural network based methods. Simulation and experimental results are included to demonstrate the effectiveness of the results. The final contribution in our collection is a paper by Sun et al., entitled "A Position Control of Direct-Drive Robot Manipulators with PMAC Motors Using Enhanced Fuzzy PD Control." It presents a simple and easy-to-implement position control scheme for direct-drive robot manipulators based on enhanced fuzzy PD control, incorporating two nonlinear tracking differentiators into a conventional PD controller. Experiments on a single-link manipulator directly driven by a permanent magnet AC (PMAC) motor demonstrate the validity of the proposed approach. The Guest Editors would like to thank the contributors and reviewers of this special issue for their time and effort in making this special issue possible. They would also like to express their sincere appreciation to the JACIII editorial board, especially Profs. Kaoru and Fukuda, Editors-in-Chief and Kenta Uchino, Managing Editor, for the opportunity and help they provided for us to put together this special issue.

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Jin, Lin y 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, n.º 1 (20 de enero de 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 functions and cloud computing, each module design process and figure are provided in the paper. The massive videos management system based on cloud platform will be better than the traditional videos management system in the aspects of storage capacity, transcoding performance and retrieval speed.

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Liu, Peter Xiaoping, Max Q.-H. Meng y Jason J. Gu. "Intelligent Scaling Control for Internet-Based Teleoperation". Journal of Advanced Computational Intelligence and Intelligent Informatics 8, n.º 3 (20 de mayo de 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 to be practical. To get over this dilemma, we introduce a novel learning algorithm based on the maximum entropy principle. Compared to traditional schemes, the computing cost of this algorithm is very low, which makes it possible for the proposed neural network to be implemented on-line in real time. The scaling control scheme with the neural-network-based delay prediction algorithm is successfully implemented and tested on the developed platform for Internet mobile robots.

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Daniel D., Preethi N., Aishwarya Jakka y Sivaraman Eswaran. "Collaborative Intrusion Detection System in Cognitive Smart City Network (CSC-Net)". International Journal of Knowledge and Systems Science 12, n.º 1 (enero de 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 personalized services that replicate manual behavior. Simultaneously, massive data is generated from the applications of the smart city like smart transportation, retail industry, healthcare, and governance. It is necessary to obtain a reliable, sustainable, continuous, and secure framework in the cloud centralized infrastructure. In this research article, the authors proposed the architecture of cognitive smart city network (CSC-Net) that defines how data are collected from applications of smart city and scrutinized by cognitive computing. This research article predicts the mobile edge computing solution (MEC) that permits node collaboration between internet of things (IoT) devices for providing secure and reliable communication among smart devices and fog layer, conversely fog layer and cloud layer. This proposed work helps to reduce the excessive traffic flow in smart environment with the support of node to node communication protocols. Collaborative-dependent intrusion detection system (C-IDS) is proposed to solve the data security issues in fog and cloud layers.

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Khoa, Tran Anh, Le Mai Bao Nhu, Hoang Hai Son, Nguyen Minh Trong, Cao Hoang Phuc, Nguyen Thi Hoang Phuong, Nguyen Van Dung, Nguyen Hoang Nam, Dong Si Thien Chau y Dang Ngoc Minh Duc. "Designing Efficient Smart Home Management with IoT Smart Lighting: A Case Study". Wireless Communications and Mobile Computing 2020 (20 de noviembre de 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 equipment failure, the task of safeguarding the system’s information is of the utmost importance. Since smart homes are automatically controlled, the problem of mobile network security must be taken seriously. To address these issues, this paper focuses on information security, big data, mobile networks, cloud computing, and the Internet of Things. Security efficiency can be enhanced by using a Secure Hash Algorithm 256 (SHA-256), which is an authentication mechanism that, with the help of the user, can authenticate each interaction of a given device with a WebServer by using an encrypted username, password, and token. This framework could be used for an automated burglar alarm system, guest attendance monitoring, and light switches, all of which are easily integrated with any smart city base. In this way, IoT solutions can allow real-time monitoring and connection with central systems for automated burglar alarms. The monitoring framework is developed on the strength of the web application to obtain real-time display, storage, and warning functions for local or remote monitoring control. The monitoring system is stable and reliable when applying SHA-256.

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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, n.º 2 (28 de julio de 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 vulnerable during the quarantine and social distancing period. The inclusion of psychosocial support for children and their families are part of the health responses to disaster and disaster recovery. Based on the biopsychosocial model, some children may have catastrophic thoughts and be prone to experience despair, numbness, flashbacks, and other serious emotional and behavioral reactions. In severe cases, there may be symptoms of psychosis or posttraumatic stress disorder. Timely and appropriate protections are needed to prevent the occurrence of psychological and behavioral problems. The emerging digital applications and health services such as telehealth, social media, mobile health, and remote interactive online education are able to bridge the social distance and support mental and behavioral health for children. Based on the psychological development characteristics of children, this study also illustrates interventions on the psychological impact from the COVID-19 pandemic. Even though the world has been struggling to curb the influences of the pandemic, the quarantine and social distancing policies will have long-term impacts on children. Innovative digital solutions and informatics tools are needed more than ever to mitigate the negative consequences on children. Health care delivery and services should envision and implement innovative paradigms to meet broad well-being needs and child health as the quarantine and social distancing over a longer term becomes a new reality. Future research on children's mental and behavioral health should pay more attention to novel solutions that incorporate cutting edge interactive technologies and digital approaches, leveraging considerable advances in pervasive and ubiquitous computing, human-computer interaction, and health informatics among many others. Digital approaches, health technologies, and informatics are supposed to be designed and implemented to support public health surveillance and critical responses to children’s growth and development. For instance, human-computer interactions, augmented reality, and virtual reality could be incorporated to remote psychological supporting service for children’s health; mobile technologies could be used to monitor children’s mental and behavioral health while protecting their individual privacy; big data and artificial intelligence could be used to support decision making on whether children should go out for physical activities and whether schools should be reopened. Implications to clinical practices, psychological therapeutic practices, and future research directions to address current effort gaps are highlighted in this study.

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Бождай, Александр, Aleksandr Bozhday, Александр Бершадский, Aleksandr Bershadskiy, Вардан Мкртчан y Vardan Mkrtchan. "Knowledge management methods in next-generation E/U Learning systems". Russian Journal of Management 3, n.º 4 (31 de agosto de 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. This environment should include heterogeneous forms of knowledge representation, interstate standards and forms of learning, international faculty and student teams. The article suggests a possible knowledge management methods and the approach to the construction of an all-pervading intellectual environment for e-learning services. The proposed approach is based on the integration of multiple technologies, such as: service-oriented design, engineering of DSPL (Dynamic Software Product Lines), wireless telecommunications, interaction of intelligent e-learning agents. Structural basis of this approach is interconnected pair of intelligent software agents: student’s and teacher’s software agents. These agents are able to adapt itself: to the current level of student’s knowledge; to the available software, hardware and network equipment; to the current demands of the environment (e.g. labor markets); to the modern educational standards. As a basis of software agents self-adaptation is a mathematical variability model, including the three basic features hierarchy: educational content, interface, software and technical support. Application of such variability model does not require recompilation of the source code (to make changes in the agents properties) and allows to organize a continuous process of e-learning and significantly increase the life cycle of the entire system of distance learning. Moreover, the authors propose a service-oriented scheme for knowledge flows management. The article will be useful for experts in e-learning, developers of service-oriented systems and for managers in the field of socio-economic systems.

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Aiolli, Fabio y 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 paper, we propose to solve this issue by resorting to a machine learning algorithm which uses profiling functionalities in order to infer the missing information, thus making the AI able to efficiently adapt its strategies to the human opponent. We studied a simple and computationally light machine learning method that can be employed with success, enabling AI improvements for imperfect information games even on mobile phones. We created a mobile phone-based version of a game calledGhostsand present results which clearly show the ability of our algorithm to quickly improve its own predictive performance as far as the number of games against the same human opponent increases.

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Ortega, Manuel. "Computer-Human Interaction and Collaboration: Challenges and Prospects". Electronics 10, n.º 5 (6 de marzo de 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 application generation techniques using models.

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Wang, Yingxu, Lotfi A. Zadeh, Bernard Widrow, Newton Howard, Françoise Beaufays, George Baciu, D. Frank Hsu et al. "Abstract Intelligence". International Journal of Cognitive Informatics and Natural Intelligence 11, n.º 1 (enero de 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 Stanford University. The summary is contributed by invited panelists who are part of the world's renowned scholars in the transdisciplinary field of CI and CC.

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Wang, Yingxu, George Baciu, Yiyu Yao, Witold Kinsner, Keith Chan, Bo Zhang, Stuart Hameroff et al. "Perspectives on Cognitive Informatics and Cognitive Computing". International Journal of Cognitive Informatics and Natural Intelligence 4, n.º 1 (enero de 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 of collective perspectives on cognitive informatics and cognitive computing, as well as their applications in abstract intelligence, computational intelligence, computational linguistics, knowledge representation, symbiotic computing, granular computing, semantic computing, machine learning, and social computing.

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Wang, Ting. "Intelligent employment rate prediction model based on a neural computing framework and human–computer interaction platform". Neural Computing and Applications 32, n.º 21 (14 de febrero de 2019): 16413–26. http://dx.doi.org/10.1007/s00521-019-04019-w.

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Wang, Yingxu, James A. Anderson, George Baciu, Gerhard Budin, D. Frank Hsu, Mitsuru Ishizuka, Witold Kinsner et al. "Perspectives on eBrain and Cognitive Computing". International Journal of Cognitive Informatics and Natural Intelligence 6, n.º 4 (octubre de 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 contributed from invited panelists who are part of the world’s renowned researchers and scholars in the field of cognitive informatics and cognitive computing.

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Zhang, Weishan, Huansheng Ning, Lu Liu, Qun Jin y Vincenzo Piuri. "Guest Editorial: Special Issue on Hybrid Human–Artificial Intelligence for Social Computing". IEEE Transactions on Computational Social Systems 8, n.º 1 (febrero de 2021): 118–21. http://dx.doi.org/10.1109/tcss.2021.3049702.

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Ramdane-Cherif, Amar. "Toward Autonomic Computing". International Journal of Cognitive Informatics and Natural Intelligence 1, n.º 2 (abril de 2007): 16–33. http://dx.doi.org/10.4018/jcini.2007040102.

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23

Wang, Yingxu, Bernard Widrow, Lotfi A. Zadeh, Newton Howard, Sally Wood, Virendrakumar C. Bhavsar, Gerhard Budin et al. "Cognitive Intelligence". International Journal of Cognitive Informatics and Natural Intelligence 10, n.º 4 (octubre de 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 are part of the world's renowned scholars in the transdisciplinary field of CI and CC.

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24

Boyne, Chris. "Notes towards a definition of human-centred computing". AI & Society 8, n.º 1 (marzo de 1994): 60–70. http://dx.doi.org/10.1007/bf02065178.

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25

CHEOK, ADRIAN DAVID, MAN FUNG HO, EVA YUSTINA y SHANG PING LEE. "MOBILE COMPUTING WITH PERSONAL AREA NETWORK AND HUMAN POWER GENERATION". International Journal of Software Engineering and Knowledge Engineering 15, n.º 02 (abril de 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 mobile computing system, such as sensors and identification memory tags. As the amount of such devices increases in a mobile computing design, there is a need for these devices to communicate efficiently with the central processing unit. Also, it is highly desirable that these devices could be conveniently connected to the wearable computer without many dangling wires. We developed a personal area network (PAN) system which attempts to interconnect such devices, and at the same time uses human body as communication channel. This system is in a way novel because it is totally powered by human motion.

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26

Whitby, Blay. "Computing machinery and morality". AI & SOCIETY 22, n.º 4 (7 de marzo de 2007): 551–63. http://dx.doi.org/10.1007/s00146-007-0100-y.

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27

Amato, Christopher, Ofra Amir, Joanna Bryson, Barbara Grosz, Bipin Indurkhya, Emre Kiciman, Takashi Kido et al. "Reports of the AAAI 2016 Spring Symposium Series". AI Magazine 37, n.º 4 (17 de enero de 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 Considerations in Non-Human Agents; (5) Intelligent Systems for Supporting Distributed Human Teamwork; (6) Observational Studies through Social Media and Other Human-Generated Content, and (7) Well-Being Computing: AI Meets Health and Happiness Science.

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28

Michelfelder, Diane P. "Philosophy, privacy, and pervasive computing". AI & SOCIETY 25, n.º 1 (18 de noviembre de 2009): 61–70. http://dx.doi.org/10.1007/s00146-009-0233-2.

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29

Truckenbrod, Joan. "Women and the social construction of the computing culture: Evolving new forms of computing". AI & Society 7, n.º 4 (diciembre de 1993): 345–57. http://dx.doi.org/10.1007/bf01891416.

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30

Rueben, Matthew, Jeffrey Klow, Madelyn Duer, Eric Zimmerman, Jennifer Piacentini, Madison Browning, Frank J. Bernieri, Cindy M. Grimm y William D. Smart. "Mental Models of a Mobile Shoe Rack". ACM Transactions on Human-Robot Interaction 10, n.º 2 (mayo de 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 setting. The robot’s rules of behavior were changed every two weeks. A novel, non-anthropomorphic robot was created for the study with a realistic use case: storing people’s shoes during a yoga class. This article reports findings from a case study analysis of 28 interviews conducted over six weeks with six participants. These findings are organized into six topics: (1) variability in the rate at which mental models are updated to be more predictive, (2) types of reasoning and hypothesizing about the robot, (3) borrowing from existing mental models and use of imagination, (4) attributing sensing capabilities where there are no visible sensors, (5) judgments about whether the robot is autonomous or teleoperated, and (6) experimenting with the robot. Specific suggestions for future research are given throughout, culminating in a set of study design recommendations. This work demonstrates the fruitfulness of long-term, in-the-wild studies of human-robot interaction, of which mental model formation is a foundational aspect.

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31

Zhou, Bing. "A Logic Approach to Granular Computing". International Journal of Cognitive Informatics and Natural Intelligence 2, n.º 2 (abril de 2008): 63–79. http://dx.doi.org/10.4018/jcini.2008040104.

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32

Pullum, Geoffrey K. "Natural language interfaces and strategic computing". AI & Society 1, n.º 1 (julio de 1987): 47–58. http://dx.doi.org/10.1007/bf01905889.

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33

Wang, Yingxu, Gabriele Fariello, Marina L. Gavrilova, Witold Kinsner, Fumio Mizoguchi, Shushma Patel, Dilip Patel et al. "Perspectives on Cognitive Computers and Knowledge Processors". International Journal of Cognitive Informatics and Natural Intelligence 7, n.º 3 (julio de 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 IEEE ICCI*CC’13 on Cognitive Computers and Knowledge Processors contributed from invited panelists who are part of the world’s renowned researchers and scholars in the field of cognitive informatics and cognitive computing.

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34

Wibig, Tadeusz. "Autonomic Computing for a Complex Problem of Experimental Physics". International Journal of Cognitive Informatics and Natural Intelligence 4, n.º 3 (julio de 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 standard (external) classical and modern informatics was realized and studied by utilizing of Natural Neural Networks (NNN), Artificial Neural Networks (ANN) and MINUIT minimization package from CERN. The idea of Autonomic Computing was followed by using brains of high school students involved in the Roland Maze Project. Some preliminary results of the comparison are given and discussed.

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35

Molyneaux, David, Hans Gellersen y Joe Finney. "Cooperative augmentation of mobile smart objects with projected displays". ACM Transactions on Interactive Intelligent Systems 3, n.º 2 (julio de 2013): 1–35. http://dx.doi.org/10.1145/2499474.2499476.

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36

Chiou, Manolis, Nick Hawes y Rustam Stolkin. "Mixed-initiative Variable Autonomy for Remotely Operated Mobile Robots". ACM Transactions on Human-Robot Interaction 10, n.º 4 (31 de diciembre de 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, in navigation tasks; (b) in the context of the simulated robot experiment, Mixed-initiative (MI) systems provide improved performance in navigation tasks, improved operator performance in cognitive demanding secondary tasks, and improved operator workload compared to HI. Last, our experiment on a physical robot provides empirical evidence that identify two major challenges for MI control: (a) the design of context-aware MI control systems; and (b) the conflict for control between the robot’s MI control system and the operator. Insights regarding these challenges are discussed and ways to tackle them are proposed.

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37

Hezarjaribi, Niloofar, Sepideh Mazrouee, Saied Hemati, Naomi S. Chaytor, Martine Perrigue y Hassan Ghasemzadeh. "Human-in-the-loop Learning for Personalized Diet Monitoring from Unstructured Mobile Data". ACM Transactions on Interactive Intelligent Systems 9, n.º 4 (5 de diciembre de 2019): 1–24. http://dx.doi.org/10.1145/3319370.

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38

Wang, Yingxu, Robert C. Berwick, Simon Haykin, Witold Pedrycz, Witold Kinsner, George Baciu, Du Zhang y C. Bhavsar. "Cognitive Informatics and Cognitive Computing in Year 10 and Beyond". International Journal of Cognitive Informatics and Natural Intelligence 5, n.º 4 (octubre de 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 plenary panel of IEEE ICCI*CC’11 on Cognitive Informatics in Year 10 and Beyond contributed from invited panelists who are part of the world’s renowned researchers and scholars in the field of cognitive informatics and cognitive computing.

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39

Nazir, Sajid, Shushma Patel y Dilip Patel. "Autonomic Computing Architecture for SCADA Cyber Security". International Journal of Cognitive Informatics and Natural Intelligence 11, n.º 4 (octubre de 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 infrastructures have increasingly become more sophisticated, extensive and numerous. This highlights the need for newer measures that can proactively and autonomously react to an impending threat. This article proposes a SCADA system framework to leverage autonomic computing elements in the architecture for coping with the current challenges and threats of cyber security.

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40

KOUTLEMANIS, PANAGIOTIS, ANTONIOS NTELIDAKIS, XENOPHON ZABULIS, DIMITRIS GRAMMENOS y ILIA ADAMI. "A STEERABLE MULTITOUCH DISPLAY FOR SURFACE COMPUTING AND ITS EVALUATION". International Journal on Artificial Intelligence Tools 22, n.º 06 (diciembre de 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 pertinent calibration methods for the proposed system. An accurate technique for touch detection is proposed, while touch detection and projection accuracy issues are studied and evaluated through extensive experimentation. Most importantly, the system is thoroughly evaluated as to its usability, through a pilot application that was developed for this purpose. We show that the outcome meets real-time performance, accuracy and usability requirements for employing the approach in human computer interaction.

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41

Salvini, Pericle, Diego Paez-Granados y Aude Billard. "On the Safety of Mobile Robots Serving in Public Spaces". ACM Transactions on Human-Robot Interaction 10, n.º 3 (julio de 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 lacks requirements to protect pedestrians and bystanders. The guideline implicitly assumes that private spaces, such as households and offices, present the same hazards as in public spaces. We highlight the existence of at least three properties pertaining to robots’ use in public spaces. These properties include (1) crowds, (2) social norms and proxemics rules, and (3) people's misbehaviours. We discuss how these properties impact robots’ safety. This article aims to raise stakeholders’ awareness on individuals’ safety when robots are deployed in public spaces. This could be achieved by integrating the gaps present in EN ISO 13482:2014 or by creating a new dedicated standard.

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42

Mohan, H. M., S. Anitha, Rifai Chai y 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 (3 de agosto de 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 myocardial infarction. A real-time embedded solution persuaded from “edge AI” is implemented using the state-of-the-art convolution neural networks: single shot detector Inception V2, single shot detector MobileNet V2, and Internet of Things embedded GPU platform NVIDIA’s Jetson Nano. The deep learning algorithm is implemented for 3000 indoor color image datasets: Nanyang Technological University Red Blue Green and Depth, NTU RGB + D dataset, and private RMS dataset. The research mainly pivots on two key factors in creating and training a CNN model to detect the vital signs and evaluate its performance metrics. We propose a model, which is cost-effective and consumes low power for onboard detection of vital signs of myocardial infarction and evaluated the metrics to achieve a mean average precision of 76.4% and an average recall of 80%.

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43

Berzowska, Joanna. "Personal technologies: memory and intimacy through physical computing". AI & SOCIETY 20, n.º 4 (12 de agosto de 2006): 446–61. http://dx.doi.org/10.1007/s00146-006-0033-x.

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44

Ord, Jacqueline G. "The ethics of NHS computing: A terminal case". AI & Society 9, n.º 1 (marzo de 1995): 80–90. http://dx.doi.org/10.1007/bf01174480.

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45

Wang, Yingxu. "Towards the Synergy of Cognitive Informatics, Neural Informatics, Brain Informatics, and Cognitive Computing". International Journal of Cognitive Informatics and Natural Intelligence 5, n.º 1 (enero de 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 informatics and cognitive computing, is to seek suitable mathematical means for their special needs. A layered reference model of the brain and a set of cognitive processes of the mind are systematically developed towards the exploration of the theoretical framework of cognitive informatics. A wide range of applications of cognitive informatics and denotational mathematics are recognized in the development of highly intelligent systems such as cognitive computers, cognitive knowledge search engines, autonomous learning machines, and cognitive robots.

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46

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

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47

Uchiya, Takahiro, Takahide Maemura, Hideki Hara, Kenji Sugawara y Tetsuo Kinoshita. "Interactive Design Method of Agent System for Symbiotic Computing". International Journal of Cognitive Informatics and Natural Intelligence 3, n.º 1 (enero de 2009): 57–74. http://dx.doi.org/10.4018/jcini.2009010104.

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48

Liu, Guilong y William Zhu. "Approximations in Rough Sets vs Granular Computing for Coverings". International Journal of Cognitive Informatics and Natural Intelligence 4, n.º 2 (abril de 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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49

Liu, Zhen, Nathalie Japkowicz, Ruoyu Wang y Deyu Tang. "Adaptive learning on mobile network traffic data". Connection Science 31, n.º 2 (6 de septiembre de 2018): 185–214. http://dx.doi.org/10.1080/09540091.2018.1512557.

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50

Wyld, Christopher. "Simple support for mobile workers and users". AI & SOCIETY 19, n.º 4 (16 de agosto de 2005): 563–64. http://dx.doi.org/10.1007/s00146-005-0332-7.

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