Journal articles on the topic 'Intelligent responses'
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Gardner, R. Allen. "Comparative intelligence and intelligent comparisons." Behavioral and Brain Sciences 31, no. 2 (April 2008): 135–36. http://dx.doi.org/10.1017/s0140525x08003610.
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AbstractSound comparative psychology and modern evolutionary and developmental biology emphasize powerful effects of developmental conditions on the expression of genetic endowment. Both demand that evolutionary theorists recognize these effects. Sound comparative psychology also demands experimental procedures that prevent experimenters from shaping the responses of human and nonhuman beings to conform to theoretical expectations.
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Gong, Yanting, Yi-Zhou Zhang, Shiqiang Fang, Chen Liu, Jian Niu, Guanjun Li, Fang Li, Xiangchun Li, Tao Cheng, and Wen-Yong Lai. "Artificial intelligent optoelectronic skin with anisotropic electrical and optical responses for multi-dimensional sensing." Applied Physics Reviews 9, no. 2 (June 2022): 021403. http://dx.doi.org/10.1063/5.0083278.
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Artificial intelligent skins hold the potential to revolutionize artificial intelligence, health monitoring, soft robotics, biomedicine, flexible, and wearable electronics. Present artificial skins can be characterized into electronic skins ( e-skins) that convert external stimuli into electrical signals and photonic skins ( p-skins) that convert deformations into intuitive optical feedback. Merging both electronic and photonic functions in a single skin is highly desirable, but challenging and remains yet unexplored. We report herein a brand-new type of artificial intelligent skin, an optoelectronic skin ( o-skin), which combines the advantages of both e-skins and p-skins in a single skin device based on one-dimensional photonic crystal-based hydrogels. Taking advantage of its anisotropic characteristics, the resulting o-skin can easily distinguish vector stimuli such as stress type and movement direction to meet the needs of multi-dimensional perception. Furthermore, the o-skin also demonstrates advanced functions such as full-color displays and intelligent response to the environment in the form of self-adaptive camouflage. This work represents a substantial advance in using the molecular engineering strategy to achieve artificial intelligent skins with multiple anisotropic responses that can be integrated on the skin of a soft body to endow superior functions, just like the natural organisms that inspire us.
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Sirithunga, Chapa, and Buddhika Jayasekara. "Cognitively Intelligent Models for Human-Robot Interaction with MIRob." Bolgoda Plains 01, no. 01 (October 2021): 04–06. http://dx.doi.org/10.31705/bprm.2021.4.
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This research explores how a robot should gather knowledge upon a scenario between a robot and its user and then generate appropriate intelligent responses towards its user. Therefore, cognitive models were developed to act as a robot’s intelligence or the brain to make situation-specific decisions. Such insightful decisions will help the robot act in a social environment without disturbing its user or other humans around.
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Damodaran, Srinath, Arjun Alva, Srinath Kumar, and Muralidhar Kanchi. "Artificial Intelligence in POCUS: The Vanguard of Technology in COVID-19 Pandemic." Journal of Cardiac Critical Care TSS 4, no. 02 (November 6, 2020): 116–20. http://dx.doi.org/10.1055/s-0040-1718983.
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AbstractThe creation of intelligent software or system, machine learning, and deep learning technologies are the integral components of artificial intelligence. Point-of-care ultrasound involves the bedside use of ultrasound to answer specific diagnostic questions and to assess real-time physiologic responses to treatment. This article provides insight into the pearls and pitfalls of artificial intelligence in point-of-care ultrasound for the coronavirus disease 2019 pandemic.
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Aydin, Daniel, Vera C. Hirschfeld-Warneken, Ilia Louban, and Joachim P. Spatz. "Intelligent induction of active biosystem responses at interfaces." International Journal of Materials Research 102, no. 7 (July 2011): 796–808. http://dx.doi.org/10.3139/146.110531.
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Liu, Xiaogang, Dongshan Xiang, Chunhui Zeng, and Fengyun Huang. "The Investigation of Coupled Vibration of Automobile Transmission System and Its Intelligent Design." Machines 10, no. 6 (May 28, 2022): 428. http://dx.doi.org/10.3390/machines10060428.
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Intelligent manufacturing is developing rapidly nowadays, promoting the efficiency of manufacturing. In comparison, the design process has become a bottleneck in the product life cycle. In order to address this problem, this research develops an intelligent design method based on the automobile transmission system. Firstly, a mathematical model of the coupled vibration between the drive shaft and the main reducer was developed, and the vibration responses of the transmission system were simulated based on this mathematical model. Then, a test rig was developed to measure the vibration responses of the system; the measured results correlated well with the simulation results, indicating that the mathematical model can be used to investigate the coupled vibration between the drive shaft and the main reducer. Furthermore, the multiple parameters of the transmission system were optimized based on the mathematical model using the intelligent optimization algorithm. In particular, software was developed based on the intelligent optimization algorithm for the convenience of analysis, and the optimized results were acquired. The analysis results show that the vibration responses can be reduced when the optimized parameters are applied, indicating that the intelligent design method developed in this research is effective for the intelligent design of transmission system.
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Löffler, Christoph, Gidon T. Frischkorn, Jan Rummel, Dirk Hagemann, and Anna-Lena Schubert. "Do Attentional Lapses Account for the Worst Performance Rule?" Journal of Intelligence 10, no. 1 (December 24, 2021): 2. http://dx.doi.org/10.3390/jintelligence10010002.
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The worst performance rule (WPR) describes the phenomenon that individuals’ slowest responses in a task are often more predictive of their intelligence than their fastest or average responses. To explain this phenomenon, it was previously suggested that occasional lapses of attention during task completion might be associated with particularly slow reaction times. Because less intelligent individuals should experience lapses of attention more frequently, reaction time distribution should be more heavily skewed for them than for more intelligent people. Consequently, the correlation between intelligence and reaction times should increase from the lowest to the highest quantile of the response time distribution. This attentional lapses account has some intuitive appeal, but has not yet been tested empirically. Using a hierarchical modeling approach, we investigated whether the WPR pattern would disappear when including different behavioral, self-report, and neural measurements of attentional lapses as predictors. In a sample of N = 85, we found that attentional lapses accounted for the WPR, but effect sizes of single covariates were mostly small to very small. We replicated these results in a reanalysis of a much larger previously published data set. Our findings render empirical support to the attentional lapses account of the WPR.
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Bagheri, Zahra, Azlina Mohd Kosnin, and Mohammad Ali Besharat. "Improving Emotion Regulation skills through an Emotional Intelligence Training Course." Khazar Journal of Humanities and Social Sciences 19, no. 4 (December 2016): 36–48. http://dx.doi.org/10.5782/2223-2621.2016.19.4.36.
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Emotion regulation is the fourth component of emotional intelligence theory introduced by Salovey and Mayer (1990). It has received much interest in recent years due to its significant effect on life qualities such as mental health, social relationship, academic achievement and work performance. However, there were not enough empirical studies to examine whether the training of emotional intelligence can improve emotion regulation skills. This paper describes a quasi-experimental study aimed at answering the question, „Does training in emotional intelligence create more emotionally intelligent behavior, particularly emotion regulation?‟ Emotional intelligent behavior was measured by responses to a written test (FEIS-41) in twice, before and after the training course. The subject participants were 60 and divided into an experimental group and a control group. The experimental group received an emotional intelligence training course, while the control group did not. The training course had six sessions, held once per week for two and a half hours. The results showed that the level of emotion regulation improved in the experimental group after the emotional intelligence training.
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Schmidt, Susanne, Oscar Ariza, and Frank Steinicke. "Intelligent Blended Agents: Reality–Virtuality Interaction with Artificially Intelligent Embodied Virtual Humans." Multimodal Technologies and Interaction 4, no. 4 (November 27, 2020): 85. http://dx.doi.org/10.3390/mti4040085.
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Intelligent virtual agents (VAs) already support us in a variety of everyday tasks such as setting up appointments, monitoring our fitness, and organizing messages. Adding a humanoid body representation to these mostly voice-based VAs has enormous potential to enrich the human–agent communication process but, at the same time, raises expectations regarding the agent’s social, spatial, and intelligent behavior. Embodied VAs may be perceived as less human-like if they, for example, do not return eye contact, or do not show a plausible collision behavior with the physical surroundings. In this article, we introduce a new model that extends human-to-human interaction to interaction with intelligent agents and covers different multi-modal and multi-sensory channels that are required to create believable embodied VAs. Theoretical considerations of the different aspects of human–agent interaction are complemented by implementation guidelines to support the practical development of such agents. In this context, we particularly emphasize one aspect that is distinctive of embodied agents, i.e., interaction with the physical world. Since previous studies indicated negative effects of implausible physical behavior of VAs, we were interested in the initial responses of users when interacting with a VA with virtual–physical capabilities for the first time. We conducted a pilot study to collect subjective feedback regarding two forms of virtual–physical interactions. Both were designed and implemented in preparation of the user study, and represent two different approaches to virtual–physical manipulations: (i) displacement of a robotic object, and (ii) writing on a physical sheet of paper with thermochromic ink. The qualitative results of the study indicate positive effects of agents with virtual–physical capabilities in terms of their perceived realism as well as evoked emotional responses of the users. We conclude with an outlook on possible future developments of different aspects of human–agent interaction in general and the physical simulation in particular.
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Yong, Zhang, zhen Qiu, and Zhang Xiaowei. "A Study of Intelligent Teaching in High School Mathematics-Take Ellipse Teaching As an Example." INTERNATIONAL JOURNAL OF EDUCATION AND EVALUATION 8, no. 5 (October 5, 2022): 41–67. http://dx.doi.org/10.56201/ijee.v8.no5.2022.pg41.67.
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This paper analyzes the origin, concept, and development of intelligent teaching and briefly introduces the environment of intelligent teaching. At the same time, this paper mainly compares the differences between traditional teaching and intelligent teaching and designs a lesson plan for intelligent teaching by taking the teaching of the ellipse in sophomore mathematics as an example. This paper also investigates the responses of high school students to intelligent teaching using a questionnaire. The advantages and problems of intelligent teaching in high school classrooms are analyzed, and suggestions are also given
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Nagata, Noriko. "An Effective Application of Natural Language Processing in Second Language Instruction." CALICO Journal 13, no. 1 (January 14, 2013): 47–67. http://dx.doi.org/10.1558/cj.v13i1.47-67.
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This paper presents an intelligent CALI system called "Nihongo-CALI" (Japanese Computer Assisted Language Instruction), which employs natural language processing to provide immediate, grammatically sophisticated feedback to students in an interactive environment. Using this system, Nagata (1993) previously compared the effectiveness of the two different levels of computer feedback for teaching Japanese passive sentences: traditional feedback (which follows simple pattern-matching error analysis and indicates only missing/unexpected words in the learners' responses) and intelligent feedback (which utilizes a parsing technique to provide detailed grammatical explanations for the source of the learners' errors). The study found a statistically significant difference between traditional and intelligent feedback, favoring intelligent feedback. The present study compares the efficacy of intelligent CALI feedback with that of a more advanced, traditional CALI feedback (which also indicates the positions of missing particles in the learners' responses) for teaching basic sentence constructions in Japanese. The result indicates that the Intelligent CALI feedback is more effective than even the enhanced version of traditional CALI feedback, underscoring the importance of natural language processing technology in second language instruction.
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Lee, C. H., J. E. Biegel, and C. M. Dixon. "Student Performance Evaluation for a Simulation Based Intelligent Expert Tutoring System." Proceedings of the Human Factors Society Annual Meeting 32, no. 18 (October 1988): 1212–16. http://dx.doi.org/10.1177/154193128803201805.
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Intelligent tutoring systems offer an exciting new way to train people in areas of complex domains. A simulation-based training system provides the student with the opportunity to manipulate a system without the consequences of real life mistakes. The intelligence required in the tutoring system is focused on the tutor's ability to teach the student efficient, strategic responses. This tutoring demands that the tutor is aware of the student's current ability, specific fault areas, and preferred method of tutoring. Instructional decisions are made by assessing the student's performance. The utility of an intelligent tutoring system depends on its capacity to evaluate the student's performance. Performance assessment then has significant impact on the employment of such a system. The parameters used for performance assessment of a complex task depend on the objective of the tutoring system. We present a description of a generic intelligent tutoring system which will remove the human instructor from the training loop.
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Walker, Traci, Heidi Christensen, Bahman Mirheidari, Thomas Swainston, Casey Rutten, Imke Mayer, Daniel Blackburn, and Markus Reuber. "Developing an intelligent virtual agent to stratify people with cognitive complaints: A comparison of human–patient and intelligent virtual agent–patient interaction." Dementia 19, no. 4 (September 14, 2018): 1173–88. http://dx.doi.org/10.1177/1471301218795238.
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Previous work on interactions in the memory clinic has shown that conversation analysis can be used to differentiate neurodegenerative dementia from functional memory disorder. Based on this work, a screening system was developed that uses a computerised ‘talking head’ (intelligent virtual agent) and a combination of automatic speech recognition and conversation analysis-informed programming. This system can reliably differentiate patients with functional memory disorder from those with neurodegenerative dementia by analysing the way they respond to questions from either a human doctor or the intelligent virtual agent. However, much of this computerised analysis has relied on simplistic, nonlinguistic phonetic features such as the length of pauses between talk by the two parties. To gain confidence in automation of the stratification procedure, this paper investigates whether the patients’ responses to questions asked by the intelligent virtual agent are qualitatively similar to those given in response to a doctor. All the participants in this study have a clear functional memory disorder or neurodegenerative dementia diagnosis. Analyses of patients’ responses to the intelligent virtual agent showed similar, diagnostically relevant sequential features to those found in responses to doctors’ questions. However, since the intelligent virtual agent’s questions are invariant, its use results in more consistent responses across people – regardless of diagnosis – which facilitates automatic speech recognition and makes it easier for a machine to learn patterns. Our analysis also shows why doctors do not always ask the same question in the exact same way to different patients. This sensitivity and adaptation to nuances of conversation may be interactionally helpful; for instance, altering a question may make it easier for patients to understand. While we demonstrate that some of what is said in such interactions is bound to be constructed collaboratively between doctor and patient, doctors could consider ensuring that certain, particularly important and/or relevant questions are asked in as invariant a form as possible to be better able to identify diagnostically relevant differences in patients’ responses.
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Lopatovska, Irene. "Classification of humorous interactions with intelligent personal assistants." Journal of Librarianship and Information Science 52, no. 3 (December 18, 2019): 931–42. http://dx.doi.org/10.1177/0961000619891771.
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The study examined humorous interactions with intelligent personal assistants (IPAs, including Google Assistant, Amazon Alexa, Microsoft Cortana, Apple Siri) with the aim of classifying user utterances, IPA responses and user reactions of system responses. Data from online diaries and paper questionnaires were collected and analyzed using content analysis method. The findings suggest that the most frequent types of utterances include questions that test system “personality” and opinions. Joke requests are also frequent and produce pre-programmed humor that users generally find funny. The initial classification of humorous utterances has been validated and expanded using published datasets of humorous utterances for the four investigated IPAs. The findings can be used for immediate improvements to IPA performance as well as long-term development of IPA personas.
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Wheeler, Michael. "Deceptive Appearances: the Turing Test, Response-Dependence, and Intelligence as an Emotional Concept." Minds and Machines 30, no. 4 (August 12, 2020): 513–32. http://dx.doi.org/10.1007/s11023-020-09533-8.
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AbstractThe Turing Test is routinely understood as a behaviourist test for machine intelligence. Diane Proudfoot (Rethinking Turing’s Test, Journal of Philosophy, 2013) has argued for an alternative interpretation. According to Proudfoot, Turing’s claim that intelligence is what he calls ‘an emotional concept’ indicates that he conceived of intelligence in response-dependence terms. As she puts it: ‘Turing’s criterion for “thinking” is…: x is intelligent (or thinks) if in the actual world, in an unrestricted computer-imitates-human game, x appears intelligent to an average interrogator’. The role of the famous test is thus to provide the conditions in which to examine the average interrogator’s responses. I shall argue that Proudfoot’s analysis falls short. The philosophical literature contains two main models of response-dependence, what I shall call the transparency model and the reference-fixing model. Proudfoot resists the thought that Turing might have endorsed one of these models to the exclusion of the other. But the details of her own analysis indicate that she is, in fact, committed to the claim that Turing’s account of intelligence is grounded in a transparency model, rather than a reference-fixing one. By contrast, I shall argue that while Turing did indeed conceive of intelligence in response-dependence terms, his account is grounded in a reference-fixing model, rather than a transparency one. This is fortunate (for Turing), because, as an account of intelligence, the transparency model is arguably problematic in a way that the reference-fixing model isn’t.
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Alanazi, Saad Awadh, Maryam Shabbir, Nasser Alshammari, Madallah Alruwaili, Iftikhar Hussain, and Fahad Ahmad. "Prediction of Emotional Empathy in Intelligent Agents to Facilitate Precise Social Interaction." Applied Sciences 13, no. 2 (January 15, 2023): 1163. http://dx.doi.org/10.3390/app13021163.
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The research area falls under the umbrella of affective computing and seeks to introduce intelligent agents by simulating emotions artificially and encouraging empathetic behavior in them, to foster emotional empathy in intelligent agents with the overarching objective of improving their autonomy. Raising the emotional empathy of intelligent agents to boost their autonomic behavior can increase their independence and adaptability in a socially dynamic context. As emotional intelligence is a subset of social intelligence, it is essential for successful social interaction and relationships. The purpose of this research is to develop an embedded method for analyzing empathic behavior in a socially dynamic situation. A model is proposed for inducing emotional intelligence through a deep learning technique, employing multimodal emotional cues, and triggering appropriate empathetic responses as output. There are 18 categories of emotional behavior, and each one is strongly influenced by multimodal cues such as voice, facial, and other sensory inputs. Due to the changing social context, it is difficult to classify emotional behavior and make predictions based on modest changes in multimodal cues. Robust approaches must be used to be sensitive to these minor changes. Because a one-dimensional convolutional neural network takes advantage of feature localization to minimize the parameters, it is more efficient in this exploration. The study’s findings indicate that the proposed method outperforms other popular ML approaches with a maximum accuracy level of 98.98 percent when compared to currently used methods.
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Wang, Zhongdong, and Suhuan Chen. "Sensitivity analysis of eigenmodes and dynamic responses for intelligent structures." Finite Elements in Analysis and Design 33, no. 2 (September 1999): 71–81. http://dx.doi.org/10.1016/s0168-874x(99)00016-5.
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Mosenia, Arsalan, Susmita Sur-Kolay, Anand Raghunathan, and Niraj K. Jha. "DISASTER: Dedicated Intelligent Security Attacks on Sensor-Triggered Emergency Responses." IEEE Transactions on Multi-Scale Computing Systems 3, no. 4 (October 1, 2017): 255–68. http://dx.doi.org/10.1109/tmscs.2017.2720660.
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Albishi, Ali M., Seyed H. Mirjahanmardi, Abdulbaset M. Ali, Vahid Nayyeri, Saud M. Wasly, and Omar M. Ramahi. "Intelligent Sensing Using Multiple Sensors for Material Characterization." Sensors 19, no. 21 (November 2, 2019): 4766. http://dx.doi.org/10.3390/s19214766.
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This paper presents a concept of an intelligent sensing technique based on modulating the frequency responses of microwave near-field sensors to characterize material parameters. The concept is based on the assumption that the physical parameters being extracted such as fluid concentration are constant over the range of frequency of the sensor. The modulation of the frequency response is based on the interactions between the material under test and multiple sensors. The concept is based on observing the responses of the sensors over a frequency wideband as vectors of many dimensions. The dimensions are then considered as the features for a neural network. With small datasets, the neural networks can produce highly accurate and generalized models. The concept is demonstrated by designing a microwave sensing system based on a two-port microstrip line exciting three-identical planar resonators. For experimental validation, the sensor is used to detect the concentration of a fluid material composed of two pure fluids. Very high accuracy is achieved.
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Chen, Jun-Hao, Kuang-Hsiung Tan, and Yih-Der Lee. "Intelligent Controlled DSTATCOM for Power Quality Enhancement." Energies 15, no. 11 (May 30, 2022): 4017. http://dx.doi.org/10.3390/en15114017.
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In this study, a three-phase four-wire distribution static compensator (DSTATCOM) is proposed to improve power quality, including the compensation of the three-phase unbalanced grid currents, the total harmonic distortion (THD) reduction of the grid current, and the power factor (PF) correction. Moreover, when different types of loads vary in the power system, the instantaneous power follows into or out of the DC-link capacitor in the DSTATCOM and results in poor transient responses of the grid current and DC-link voltage and performance deterioration. Hence, the DC-link voltage control plays a significant part in the DSTATCOM under load variation. For the purpose of mending the transient responses of the grid currents and DC-link voltage control and the performance of the DSTATCOM, the conventional proportional-integral (PI) controller is substituted with a novel online trained wavelet Takagi-Sugeno-Kang fuzzy neural network (WTSKFNN) controller in this study. Furthermore, the network structure and the online learning method of the proposed WTSKFNN controller are described in detail. Finally, the experimental results are given to certify the feasibility and effectiveness of the DSTATCOM using the proposed WTSKFNN controller for the power quality enhancement and the DC-link control improvement under load variation.
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Kashihara, Koji. "HYBRID INTELLIGENT CONTROLLERS FOR A MULTIPLE DRUG DELIVERY SYSTEM IN ACUTE HEART FAILURE." Biomedical Engineering: Applications, Basis and Communications 27, no. 05 (October 2015): 1550043. http://dx.doi.org/10.4015/s101623721550043x.
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Regulating the dynamic responses to multiple therapeutic agents in cases of heart failure is difficult owing to time-variant changes in drug sensitivity and interaction. To address this problem, a multiple controller based on adaptive neural network (NN) predictive control has been developed for unexpected drug responses related to cardiac output and arterial pressure. However, the control speed may be slower than that in traditional controllers because of the real-time learning process for the NN. Moreover, a proportional-integral-derivative (PID) controller alone cannot automatically update the PID parameters during drug administration. This study, therefore, aimed to make hybrid intelligent (fuzzy or NN-based PID) controllers and to evaluate the control performance during multiple drug therapy in unexpected physiological responses of heart failure. The hybrid intelligent controllers were compared with the previous PID or NN controller, and they realized robust and quick control regardless of unexpected responses and acute disruptions.
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Zheng, Xin, Xiaodong Zhang, and Shaojuan Lei. "Impact of Intelligently-configured Cloud Service Capability for High Manufacturing Performance via a Multi-agent Model." Journal of Physics: Conference Series 2224, no. 1 (April 1, 2022): 012084. http://dx.doi.org/10.1088/1742-6596/2224/1/012084.
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Abstract In order to discover the impact of intelligently-configured cloud service capacity for high performance, this paper proposes a multi-agent model that simulates industrial manufacturing activities via a cloud platform via XaaS (Anything-as-a-Service). The multi-agent model is adopted to simulate cloud manufacturing based on two groups of service providers with different configurations on service capability. The capability configurations have been conducted against 8 kinds of service demands with the aim at the impact on how to configure cloud service capacity for high performance. Furthermore, the intelligent configuration is proved with high relevance of better task responses to diverse service demands. In the meantime, the intelligent configuration is also characterized with flexible adaptability and service balance. As a result, service performance has been effectively improved and significantly optimized by adjusting the service sequence within a given period that reduces the switch frequency among diverse service types.
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Liu, Peng, Qingqing Fei, Jinting Liu, and Jianqiang Wang. "Naming is framing: The framing effect of technology name on public attitude toward automated vehicles." Public Understanding of Science 30, no. 6 (January 28, 2021): 691–707. http://dx.doi.org/10.1177/0963662520987806.
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Vehicles with automated driving systems are called by many names, which are used interchangeably in public discourse, with different and at times misleading meanings. In two studies (total N = 908), we examined the naming effects on people’s cognitive (perceived benefit and risk), affective (negative and positive affect), and behavioral responses (behavioral intention) to and trust in these vehicles in the Chinese context. Study 1 considered four names (intelligent, automated, autonomous, and driverless vehicles). Study 2 presented an identical description of vehicles with full automation and considered their five names (fully intelligent, fully automated, fully autonomous, fully driverless, and driverless vehicles). We corroborated the naming effects on affective responses and trust. The framing of “driverless vehicle” was less favorable in Study 1 but more favorable in Study 2. Technology names indirectly influenced behavioral intention through certain cognitive and affective responses. Theoretical and practical implications of our results are discussed.
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Bilquise, Ghazala, Samar Ibrahim, and Khaled Shaalan. "Emotionally Intelligent Chatbots: A Systematic Literature Review." Human Behavior and Emerging Technologies 2022 (September 26, 2022): 1–23. http://dx.doi.org/10.1155/2022/9601630.
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Conversational technologies are transforming the landscape of human-machine interaction. Chatbots are increasingly being used in several domains to substitute human agents in performing tasks, answering questions, giving advice, and providing social and emotional support. Therefore, improving user satisfaction with these technologies is imperative for their successful integration. Researchers are leveraging Artificial Intelligence (AI) and Natural Language Processing (NLP) techniques to impart emotional intelligence capabilities in chatbots. This study provides a systematic review of research on developing emotionally intelligent chatbots. We employ a systematic approach to gather and analyze 42 articles published in the last decade. The review is aimed at providing a comprehensive analysis of past research to discover the problems addressed, the techniques used, and the evaluation measures employed by studies in embedding emotion in chatbot conversations. The study’s findings reveal that most studies are based on an open-domain generative chatbot architecture. Researchers mainly address the issue of accurately detecting the user’s emotion and generating emotionally relevant responses. Nearly 57% of the studies use an enhanced Seq2Seq encoding and decoding of the input of the conversational model. Almost all the studies use both the automatic and manual evaluation measures to evaluate the chatbots, with the BLEU measure being the most popular method for objective evaluation.
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Chen, Hai-Peng, Ping-Ping Shi, Zhong-Xia Wang, Ji-Xing Gao, Wan-Ying Zhang, Cheng Chen, Yuan-Yuan Tang, and Da-Wei Fu. "Tunable dielectric transitions in layered organic–inorganic hybrid perovskite-type compounds: [NH3(CH2)2Cl]2[CdCl4−4xBr4x] (x = 0, 1/4, 1)." Dalton Transactions 47, no. 20 (2018): 7005–12. http://dx.doi.org/10.1039/c8dt00353j.
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Molecular bistable dielectric switches represent a class of highly desirable intelligent materials due to their sensitive switchable responses, simple and environmentally friendly processing, light weights, and mechanical flexibility.
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Sutton, R., R. S. Burns, and P. J. Craven. "Intelligent Steering Control of an Autonomous Underwater Vehicle." Journal of Navigation 53, no. 3 (September 2000): 511–25. http://dx.doi.org/10.1017/s0373463300008973.
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This paper considers the development of three autopilots for controlling the yaw responses of an autonomous underwater vehicle model. The autopilot designs are based on the adaptive network-based fuzzy inference system (ANFIS), a simulated, annealing-tuned control algorithm and a traditional proportional-derivative controller. In addition, each autopilot is integrated with a line-of-sight (LOS) guidance system to test its effectiveness in steering round a series of waypoints with and without the presence of sea current disturbance. Simulation results are presented that show the overall superiority of the ANFIS approach.
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Yu, Longzhen, Jianhua Zhu, and Zhixian Wang. "Green Taxation Promotes the Intelligent Transformation of Chinese Manufacturing Enterprises: Tax Leverage Theory." Sustainability 13, no. 23 (December 1, 2021): 13321. http://dx.doi.org/10.3390/su132313321.
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A key issue that concerns governments is how to formulate optimal technology subsidies and green tax standards to promote the intelligent transformation of manufacturing enterprises. In this work, the Pollutant Emission Indicator Trading Mechanism (PEITM) is proposed, and green taxes are divided into Tax of Pollutant Emissions (TPE) and the Tax of Excess Pollutant Emissions (TEPE). On this basis, we study the impact of green taxes and technology subsidies on the intelligent transformation of enterprises in different manufacturing environments from the government’s perspective and provide the optimal government subsidy scheme under different green tax policies. Although it seems counter-intuitive, enterprises’ usual responses to increases in TPE and TEPE are non-monotonic. Moreover, we find a threshold effect for the government’s green taxation. Blindly increasing or reducing taxes may not promote intelligent transformation, but instead force enterprises towards negative choices. Lastly, an effective measure for the government to promote the intelligent transformation of manufacturing enterprises is proposed: by properly adjusting TPE and TEPE, governments can produce more cost-effective intelligent products than ordinary ones. Consequently, intelligent products will sell better than ordinary products, and manufacturing enterprises will be able to consciously carry out intelligent transformation to remain viable.
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Chen, Hai-Peng, Zhong-Xia Wang, Cheng Chen, Yang Lu, Zi Yin, Xiao-Fen Sun, and Da-Wei Fu. "High-temperature structural phase transition coupled with dielectric switching in an organic–inorganic hybrid crystal: [NH3(CH2)2Br]3CdBr5." Dalton Transactions 46, no. 14 (2017): 4711–16. http://dx.doi.org/10.1039/c6dt04799h.
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Molecular bistable switches (electrical switches “ON” and “OFF”) represent a class of highly desirable intelligent materials due to their sensitive switchable responses, simple and environmentally friendly processing, light weight, and mechanical flexibility.
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Gulati, Dr Preeti. "Resolving the Issue: Does Intelligence Nurture Bilingualism or Bilingualism Nurture Intelligence?" International Journal For Multidisciplinary Research 04, no. 04 (2022): 323–32. http://dx.doi.org/10.36948/ijfmr.2022.v04i04.035.
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In past literature authors raised a significant issue of role of intelligence in learning different languages. Whether an intelligent individual learns two or more languages easily or an individual who has learnt two or more languages perform better on tests of intelligence. In learning a second language, intelligence has been considered as an effective factor. Acknowledging the above issue, a heterogeneous sample of 38 bilinguals (17 boys and 21 girls) and 44 monolinguals (19 boys and 25 girls) was selected. The scores on intelligence test ranged from 34-41. Monolinguals and Bilinguals were then compared on problem solving ability, concept formation (wrong responses), verbal and figural creativity. To find out the significance of differences between the two groups t-test was applied. The results specified that Bilinguals performed significantly better on problem solving ability as compared to monolinguals, they show an edge on figural fluency and even flexibility and elaboration on both verbal and figural tests of creativity in comparison to monolinguals. Whereas no significant differences were found between the two groups on verbal fluency, concept formation which was measured by wrong responses committed by both the groups. Therefore in nutshell we can argue that bilinguals performed better than monolinguals on various cognitive abilities and language has a profound and nurturing role in overall development of intelligence.
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Kolstoe, John. "Using the Baha'i Method of Consultation." Journal of Bahá’í Studies 7, no. 4 (December 1, 1997): 1–15. http://dx.doi.org/10.31581/jbs-7.4.269(1997).
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Two studies were conducted to measure the improvement in accessing intelligent responses through the use of consultation. In the first study, eight subjects were given three sets of tasks to be completed as individuals. The hypotheses concerned use of the Wechsler Adult Intelligence Scale (WAIS). Three sets of scores were recorded: individual--scores earned by each one working independently; composite--the combined best answers from the individual work; and group scores--those earned by the decision reached through consultation. Comparisons were made between the composite and the group scores. The group did not perform any better in recall of knowledge of a general nature beyond the composite or combined results of its individual members. Improvement was seen in the areas of identifying relationships and practical judgment. The greatest gain was found in the WAIS subtest of comprehension. The group score of these subjects was two standard deviations above the composite score, which represented a change from the 71.5th percentile to the 99.4th percentile based on the normative population. A second study was conducted to measure the difference between a group that consulted on a task, as compared to individuals with similar background, training, and motivation who performed the same task as individuals. There was a clear advantage shown by consultation as compared to individual results. These results indicate that people consulting together can access intelligent responses superior to that atteined through individual effort. The studies suggest several areas of inquiry for further investigation.
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ZHANG, YUMING, QIYUE WANG, and YUKANG LIU. "Adaptive Intelligent Welding Manufacturing." Welding Journal 100, no. 01 (January 1, 2021): 63–83. http://dx.doi.org/10.29391/2021.100.006.
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Optimal design of the welding procedure gives the desired welding results under nominal welding conditions. During manufacturing, where the actual welding manufacturing conditions often deviate from the nominal ones used in the design, applying the designed procedure will produce welding results that are different from the desired ones. Adaption is needed to make corrections and adjust some of the welding parameters from those specified in the design. This is adaptive welding. While human welders can be adaptive to make corrections and adjustments, their performance is limited by their physical constraints and skill level. To be adaptive, automated and robotic welding systems require abilities in sensing the welding process, extracting the needed information from signals from the sensors, predicting the responses of the welding process to the adjustments on welding parameters, and optimizing the adjustments. This results in the application of classical sensing, modeling of process dynamics, and control system design. In many cases, the needed information for the weld quality and process variables of our concern is not easy to extract from the sensor’s data. Studies are needed to propose the phenomena to sense and establish the scientific foundation to correlate them to the weld quality or process variables of our concern. Such studies can be labor intensive, and a more automated approach is needed. Analysis suggests that artificial intelligence and machine learning, especially deep learning, can help automate the learning such that the needed intelligence for robotic welding adaptation can be directly and automatically learned from experimental data after the physical phenomena being represented by the experimental data has been appropriately selected to make sure they are fundamentally correlated to that with which we are concerned. Some adaptation abilities may also be learned from skilled human welders. In addition, human-robot collaborative welding may incorporate adaptations from humans with the welding robots. This paper analyzes and identifies the challenges in adaptive robotic welding, reviews efforts devoted to solve these challenges, analyzes the principles and nature of the methods behind these efforts, and introduces modern approaches, including machine learning/deep learning, learning from humans, and human-robot collaboration, to solve these challenges.
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Dang, Jianning, and Li Liu. "A growth mindset about human minds promotes positive responses to intelligent technology." Cognition 220 (March 2022): 104985. http://dx.doi.org/10.1016/j.cognition.2021.104985.
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Murase, H., Y. Nishiura, and K. Mitani. "Environmental control strategies based on plant responses using intelligent machine vision technique." Computers and Electronics in Agriculture 18, no. 2-3 (August 1997): 137–48. http://dx.doi.org/10.1016/s0168-1699(97)00026-4.
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Murase, H., Y. Nishiura, and K. Mitani. "Environmental Control Strategies Based on Plant Responses Using Intelligent Machine Vision Technique." IFAC Proceedings Volumes 28, no. 6 (June 1995): 175–81. http://dx.doi.org/10.1016/s1474-6670(17)47181-3.
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Rani, Geeta, Vijaypal Singh Dhaka, Sonam, Upasana Pandey, and Pradeep Kumar Tiwari. "Intelligent and Adaptive Web Page Recommender System." International Journal of Web Services Research 18, no. 4 (October 2021): 27–50. http://dx.doi.org/10.4018/ijwsr.2021100102.
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In this manuscript, an intelligent and adaptive web page recommender system is proposed that provides personalized, global, and group mode of recommendations. The authors enhance the utility of a trie node for storing relevant web access statistics. The trie node enables dynamic clustering of users based on their evolving browsing patterns and allows a user to belong to multiple groups at each navigation step. The system takes cues from the field of crowd psychology to augment two parameters for modeling group behavior: uniformity and recommendation strength. The system continuously tracks the user's responses in order to adaptively switch between different recommendation-criteria in the group and personalized modes. The experimental results illustrate that the system achieved the maximum F1 measure of 83.28% on CTI dataset, which is a significant improvement over the 70% F1 measure reported by automatic clustering-based genetic algorithm, the prior web recommender system.
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PEK, PENG-KIAT, and KIM-LENG POH. "MAKING DECISIONS IN AN INTELLIGENT TUTORING SYSTEM." International Journal of Information Technology & Decision Making 04, no. 02 (June 2005): 207–33. http://dx.doi.org/10.1142/s0219622005001489.
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In computerized tutoring, the pace of instruction is related to the student's mastery levels of the learning objectives. The observable student's behavior that can be used to measure his knowledge is usually his responses to test items. Unobservable variables that are related to learner's motivation can affect learning but are difficult to quantify. In comparison with other decision-theoretic tutoring systems, the novelties of this research are: (1) the efficiency-centric approach to develop the Bayesian networks; (2) the formulation of utility values for different tutoring outcomes that are independent of past actions and to satisfy the separability condition; (3) the development of a common measure for student's mastery levels and item difficulties; and (4) the generation of optimal policies in polynomial time. A prototype web-based tutoring system, known as iTutor, incorporating the novelties has been developed for engineering mechanics. Formative evaluations of iTutor have shown encouraging results.
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Burston, Jack L. "Maximizing Intelligent Use Of Unintelligent Response Handling Devices." CALICO Journal 8, no. 2 (January 14, 2013): 77–90. http://dx.doi.org/10.1558/cj.v8i2.77-90.
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While by design unintelligent, relaxed pattern matching devices and automatic mark-up algorithms can nonetheless be used intelligently to evaluate student responses in computer-based drill exercises. One of the most troublesome aspects of answer evaluation is the occurrence of minor orthographic discrepancies in replies. Relaxed pattern matching, the ability to ignore or otherwise neutralize irrelevant details, is essential to dealing with this kind of non-differential variation. To be maximally effective, however, its use requires considerable direct intervention in the answer judging process. Automatic pattern mark-up algorithms seek to alleviate the task of the courseware author by shifting the burden of error recognition onto the language learner. Though very easy to use, based as it is upon totally mechanical displays of formal deviations between input strings and template answers, pattern mark-up returns only the most rudimentary appraisal of mistakes. Despite their intrinsic limitations, combined under flexible programming control, these two response evaluation procedures are capable of satisfactorily overcoming the most nettlesome difficulties of answer judging. By allowing the systematic categorization of student input into fundamental reply types, as determined by relative degree of matching with canonical forms, they also provide the basis of meaningful feedback in tutorial CALL.
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Fan, Xiaojun, Nanxi Ning, and Nianqi Deng. "The impact of the quality of intelligent experience on smart retail engagement." Marketing Intelligence & Planning 38, no. 7 (March 19, 2020): 877–91. http://dx.doi.org/10.1108/mip-09-2019-0439.
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PurposePrevious studies have considered customers' psychological responses to intelligent retail technology adoption, but have not considered how technology integration systems could promote the relationship between retailers and consumers. Based on the Stimulus–Organism–Response framework, this paper proposes a customer engagement model in a fully intelligent retail environment. The concept of the quality of intelligent experience is constructed from the perspective of customer experience, and the effect of the mechanism of smart retail on the customer engagement relationship is discussed.Design/methodology/approachUsing two surveys, this study analyzes 201 (in study 1) and 321 (in study 2) questionnaires by using structural equation model in partial least square software.FindingsThe analysis shows that the human–machine interaction, intelligent systems and the product content of the quality intelligent experience significantly impact customer engagement on smart retail.Research limitations/implicationsThis research was designed for general retail products, without distinguishing between different product types. Thus, it did not consider the moderating effect of product types.Practical implicationsThe findings enrich the intelligent retail technology field and provide operable guidance to help smart retailers improve customer relations.Originality/valueThis paper proposes a customer engagement model to describe how technology integration systems promote the relationship between retailers and consumers.
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Mohammadi, Yousef, Mohammad Saeb, Alexander Penlidis, Esmaiel Jabbari, Florian J. Stadler, Philippe Zinck, and Krzysztof Matyjaszewski. "Intelligent Machine Learning: Tailor-Making Macromolecules." Polymers 11, no. 4 (April 1, 2019): 579. http://dx.doi.org/10.3390/polym11040579.
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Nowadays, polymer reaction engineers seek robust and effective tools to synthesize complex macromolecules with well-defined and desirable microstructural and architectural characteristics. Over the past few decades, several promising approaches, such as controlled living (co)polymerization systems and chain-shuttling reactions have been proposed and widely applied to synthesize rather complex macromolecules with controlled monomer sequences. Despite the unique potential of the newly developed techniques, tailor-making the microstructure of macromolecules by suggesting the most appropriate polymerization recipe still remains a very challenging task. In the current work, two versatile and powerful tools capable of effectively addressing the aforementioned questions have been proposed and successfully put into practice. The two tools are established through the amalgamation of the Kinetic Monte Carlo simulation approach and machine learning techniques. The former, an intelligent modeling tool, is able to model and visualize the intricate inter-relationships of polymerization recipes/conditions (as input variables) and microstructural features of the produced macromolecules (as responses). The latter is capable of precisely predicting optimal copolymerization conditions to simultaneously satisfy all predefined microstructural features. The effectiveness of the proposed intelligent modeling and optimization techniques for solving this extremely important ‘inverse’ engineering problem was successfully examined by investigating the possibility of tailor-making the microstructure of Olefin Block Copolymers via chain-shuttling coordination polymerization.
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Benjelloun Touimi, Yassine, Abdeladim Hadioui, Noureddine El Faddouli, and Samir Bennani. "Intelligent Chatbot-LDA Recommender System." International Journal of Emerging Technologies in Learning (iJET) 15, no. 20 (October 19, 2020): 4. http://dx.doi.org/10.3991/ijet.v15i20.15657.
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With the proliferation of distance platforms, in particular that of an open access such as Massive Online Open Courses (MOOC), the learner finds himself overwhelmed with data which are not all efficient for his interest. Besides, the MOOC has tools that allow learners to seek information, express their ideas, and participate in discussions in an online forum. This tool is a huge repository of rich data, which continues to evolve, however its exploitation is fiddly in the search for information relevant to the learner. Similarly, the task of the tutor seems to be difficult in management of a large number of learners. To this end, the development of a Chatbot able to meet the requests of learners in a natural language is necessary to the deroulement a course in the MOOC. The ChatBot plays the role of assistant and guide for the learners and for the tutors. However, ChatBot responses come from a knowledge base, which must be relevant. Knowledge extraction to answer questions is a difficult task due to the number of MOOC participants. Learners' interactions with the MOOC platform gen-erate massive information, particularly in discussion forums by seeking answers to their questions. Identifying and extracting knowledge from online forums requires collaborative interactions between learners. In this article we propose a new approach to answer learners' questions in a relevant and instantaneous way in a ChatBot in natural language. Our model is based on the LDA Bayesian statistical method, applied to threads posted in the forum and classifies them to provide the learner with a rich semantic response. These threads taken from the discussion forum in the form of knowledge will enrich the ChatBot knowledge database. In parallel, we will map the extracted knowledge to ontology, to provide the learner with pedagogical resources that will serve as learning support.
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Wei, Xintong, Guangtian Zou, and Kin Wai Michael Siu. "Multifactors Affecting Residential Well-Being in Urban Communities of Shenzhen Incorporating Intelligent Technologies." Mobile Information Systems 2022 (July 30, 2022): 1–9. http://dx.doi.org/10.1155/2022/3179358.
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Rapid urban development is inseparable from technological advances, and the application of artificial intelligence in community life is becoming widespread, affecting residents’ lifestyles and psychological well-being. This study investigated a variety of factors that affect the well-being of urban community residents. Environmental and emotional perceptions and overall well-being were assessed based on the responses of 179 respondents from six small communities in Shenzhen, China. Property management was strongly correlated with satisfaction with the physical environment and least correlated with neighborhood form. Pleasure, comfort, and the sense of belonging were correlated. In addition, interviews and questionnaires revealed a strong influence of AI facilities on people’s well-being. Factor analysis revealed two-component matrices that explained more than 60% of the factors, which were described as “external” and “internal” factors. Finally, the study analyzes the relationship between intelligent devices and impact factors and their effects on residential well-being.
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Abdalla, Abualgasim Elgaili, Hasan Ejaz, Mahjoob Osman Mahjoob, Ayman Ali Mohammed Alameen, Khalid Omer Abdalla Abosalif, Mohammed Yagoub Mohammed Elamir, and Mohammed Alsadig Mousa. "Intelligent Mechanisms of Macrophage Apoptosis Subversion by Mycobacterium." Pathogens 9, no. 3 (March 16, 2020): 218. http://dx.doi.org/10.3390/pathogens9030218.
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Macrophages are one of the first innate defense barriers and play an indispensable role in communication between innate and adaptive immune responses, leading to restricted Mycobacterium tuberculosis (Mtb) infection. The macrophages can undergo programmed cell death (apoptosis), which is a crucial step to limit the intracellular growth of bacilli by liberating them into extracellular milieu in the form of apoptotic bodies. These bodies can be taken up by the macrophages for the further degradation of bacilli or by the dendritic cells, thereby leading to the activation of T lymphocytes. However, Mtb has the ability to interplay with complex signaling networks to subvert macrophage apoptosis. Here, we describe the intelligent strategies of Mtb inhibition of macrophages apoptosis. This review provides a platform for the future study of unrevealed Mtb anti-apoptotic mechanisms and the design of therapeutic interventions.
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Lovell, Robb E. "Computer Intelligence in the Theatre." New Theatre Quarterly 16, no. 3 (August 2000): 255–62. http://dx.doi.org/10.1017/s0266464x00013889.
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How can computer intelligence best be employed in the theatre? Imagine that a computer is given the ability to control electronically all the media of the stage, and is able to sense and understand in an abstract way what is happening in that space. Furthermore, suppose that the computer is given the ability to reason about what is happening and could construct abstract responses through media. What would it be possible for the computer to do? The theatrical space is the computer's body, the electronic media the limbs, cameras and microphones used as sensors are the eyes and ears, a speech generation program the mouth, and the CPUs and internal programming are the brains, used to interact with the physical world. The space that holds the performance becomes an environment generated from behaviours of the computer, responding to and shaped by performers, designers, and technicians. Robb E. Lovell describes how this kind of intelligent environment can expand the expressive potential of traditional theatre in many ways, and considers how this will affect the viewers' and performers' perceptions, setting out some of the pros and cons of the involvement of computer intelligence in performance settings. Computer involvement is not, he argues, about the death of traditional theatre forms, but rather about their growth into new realms of expressiveness. Robb Lovell is a resident artist/technologist at the Institute for Studies in the Arts (ISA) at Arizona State University. He is co-creator of the Intelligent Stage, a theatrical space that registers sensory input through video and audio, and responds through lights, sound, video, animation, and robotics. He is currently creating tools for artists and technicians based on the technology of the Intelligent Stage – tools that allow artists to create interactive mediated works. He is working on a practical PhD in Interactive Theatre Design through the Institute for New Media Performance Research.
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Kushwaha, Nidhi Singh, and Pawan Singh. "Artificial Intelligence based Chatbot: A Case Study." Journal of Management and Service Science (JMSS) 2, no. 1 (February 25, 2022): 1–13. http://dx.doi.org/10.54060/jmss/002.01.004.
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This paper shows the implementation of an artificial intelligent chatterbot with human interaction. Our paper will now tap into the aspects of artificial intelligence because we are designing a smart chatbot and of course, using machine learning to do so and deep learning which is involving more in-depth concepts of artificial intelligence and tapping into the territory of unsupervised learning from data more with the help of neural networks and more complicated models which help with studying better the unstructured or the unlabeled form of data. The name of our Chabot will be finance manager. It will interact with the user efficiently and come up with reasonable responses for their queries, we will also have a module to help people with their wellness in our chatbot apart from it just being a plain financial aspect talker for a more refined personal touch to our paper.
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Qu, Wei-Lian, Shun-Quan Qin, Jian-Weia Tu, Jia Liu, Qiang Zhou, Haibin Cheng, and Yong-Lin Pi. "Intelligent control for braking-induced longitudinal vibration responses of floating-type railway bridges." Smart Materials and Structures 18, no. 12 (September 23, 2009): 125003. http://dx.doi.org/10.1088/0964-1726/18/12/125003.
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Lee, Kuo Wei. "An Intelligent Mouse Wheel-Design Concept and Application." Applied Mechanics and Materials 764-765 (May 2015): 832–37. http://dx.doi.org/10.4028/www.scientific.net/amm.764-765.832.
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The virtually multiple mouse wheels is a new input device; however, as it has not yet been supported by application software, the left scroll and right scroll can only operate a few software functions. In this study, computer software is combined with a virtually multiple mouse wheel to intercept left and right scroll signals in the background, which are converted into the start signal of software and sent to the application software in order that software functions can be operated. The left scroll and right scroll operate the preset function, and the user software interface implemented in this study enables the user to set the function to be operated, thus, meeting different users' requirements. In addition, the software interface can detect the software of the mouse cursor, and the mouse wheel function is automatically adjusted according to the software. This mouse wheel not only senses the different scroll positions of the finger, it also automatically distinguishes different software environments, which provides diversified software function responses, thus, it is called the intelligent mouse wheel.
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Kalinichenko, A. A., and L. U. Arseniyeva. "Intelligent Multisensor System For Analytical Control Of Sausages." Methods and Objects of Chemical Analysis 14, no. 2 (2019): 57–72. http://dx.doi.org/10.17721/moca.2019.57-72.
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The new technique of intelligent analysis of chemical aroma patterns of boiled sausages obtained by the electronic nose for authentication and microbiological safety assessment is developed. The informativeness of features extracted from steady-state responses of the multisensor system and robustness of chemometric algorithms for solving the objectives of qualitative and quantitative analysis of sausage volatile compounds are investigated. The classification model was built using maximum response values as input vectors of an optimized probabilistic neural network, which allows obtaining a 100 % accuracy of different sample grades identification and detection samples adulterated with soy protein. The method of partial least squares regression and area values as features were used for regression modelling and prediction of QMAFAnM with a relative error less than 12 % for a microbiological safety assessment of previously identified sausages. The use of the robust analytical technique to assess authentication, adulteration, total bacterial count for one measurement using the electronic nose in combination with machine learning algorithms will allow to significantly reduce the measurement time and the cost of analysis, and avoid subjective estimation of the results.
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Mia, Mozammel, Grzegorz Królczyk, Radosław Maruda, and Szymon Wojciechowski. "Intelligent Optimization of Hard-Turning Parameters Using Evolutionary Algorithms for Smart Manufacturing." Materials 12, no. 6 (March 15, 2019): 879. http://dx.doi.org/10.3390/ma12060879.
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Recently, the concept of smart manufacturing systems urges for intelligent optimization of process parameters to eliminate wastage of resources, especially materials and energy. In this context, the current study deals with optimization of hard-turning parameters using evolutionary algorithms. Though the complex programming, parameters selection, and ability to obtain the global optimal solution are major concerns of evolutionary based algorithms, in the present paper, the optimization was performed by using efficient algorithms i.e., teaching–learning-based optimization and bacterial foraging optimization. Furthermore, the weighted sum method was used to transform the diverse responses into a single response, and then multi-objective optimization was performed using the teaching–learning-based optimization method and the standard bacterial foraging optimization method. Finally, the optimum results reported by these methods are compared to choose the best method. In fact, owing to better convergence within shortest time, the teaching–learning-based optimization approach is recommended. It is expected that the outcome of this research would help to efficiently and intelligently perform the hard-turning process under automatic and optimized environment.
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Trančar, Vesna. "The Behaviour of Intelligent Investors at Financial Markets: Insight from Slovenian Investors." ENTRENOVA - ENTerprise REsearch InNOVAtion 7, no. 1 (December 7, 2021): 110–20. http://dx.doi.org/10.54820/ixtb3587.
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Intelligent investors differ from speculative or non-professional investors in the fact that intelligent investors act countercyclically; that is, they act against the trend, or otherwise, they buy when prices have already fallen and sell when their rate of selected investment has already risen. An example of countercyclical behavior can also be explained by the thinking of professional investor Warren Buffett, who points out a simple investment rule: "Be scared when others are greedy, and be greedy when others are scared." Since crypto markets have recently emerged, there is a need for researching the best strategy for investments in their financial instruments. To get an insight into the behavior of Slovenian investors, in-depth interviews were conducted with a sample of financial experts. The article presents tips for the correct responses of intelligent investors in financial markets.
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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Ortiz, Isabel de los Reyes Rodríguez. "Lipreading in the Prelingually Deaf: What makes a Skilled Speechreader?" Spanish Journal of Psychology 11, no. 2 (November 2008): 488–502. http://dx.doi.org/10.1017/s1138741600004492.
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Lipreading proficiency was investigated in a group of hearing-impaired people, all of them knowing Spanish Sign Language (SSL). The aim of this study was to establish the relationships between lipreading and some other variables (gender, intelligence, audiological variables, participants' education, parents' education, communication practices, intelligibility, use of SSL). The 32 participants were between 14 and 47 years of age. They all had sensorineural hearing losses (from severe to profound). The lipreading procedures comprised identification of words in isolation. The words selected for presentation in isolation were spoken by the same talker. Identification of words required participants to select their responses from set of four pictures appropriately labelled. Lipreading was significantly correlated with intelligence and intelligibility. Multiple regression analyses were used to obtain a prediction equation for the lipreading measures. As a result of this procedure, it is concluded that proficient deaf lipreaders are more intelligent and their oral speech was more comprehensible for others.