Journal articles: 'Motor Intelligence'

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Aschieri, Pierluigi. "Motor Intelligence." Revista de Artes Marciales Asiáticas 11, no. 2s (September 29, 2016): 10. http://dx.doi.org/10.18002/rama.v11i2s.4149.

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Bucur, C. "Artificial intelligence driven speed controller for DC motor in series." Scientific Bulletin of Naval Academy XIV, no. 2 (December 15, 2021): 83–88. http://dx.doi.org/10.21279/1454-864x-21-i2-007.

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Recently a lot of work have been done to implement artificial intelligence controllers in the field of electrical motors. This paper presents a novel speed controller, developed through Reinforcement learning techniques, applied to series dc motors. We emphasize the ease of developed controller in available off the shelf hardware for industrial use. We used the open- source Python package gym-electric-motor [1] for environment setup, pytorch framework for developing the controller and .NET for performance evaluation.

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Machrus Ali, Agus Raikhani, Hendi Sopian, and Izzatul Umami. "Optimasi Pengaturan Kecepatan Motor Shunt Berbasis Imperalist Competitive Algorithm (ICA)." Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan 9, no. 1 (April 23, 2019): 26–31. http://dx.doi.org/10.48056/jintake.v9i1.38.

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Imperalist Competitive Algorithm (ICA) is one method of artificial intelligence inspired by competition for power. In system optimization this method gets better results than other artificial intelligence methods. DC shunt motors do not need a lot of space because of the small wire diameter, but the output power is very small because the amplifier current is small. A good shunt motor setting is needed to produce the desired motor speed. In this study PID controls were tuned using ICA. This good PID guide will get a good system optimization. As a comparison, the control of the shunt motor speed without control, with PID control, with detuning ICA PID control (PID-ICA). The results showed that the results of PID-ICA had the smallest overshot and undershot, with a speed of 500.00 rpm and the fastest settling time : 1201 s. This research will be developed using other artificial intelligence methods.

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Ali, Machrus, Agus Raikhani, Hendi Sopian, and Izzatul Umami. "Optimasi Pengaturan Kecepatan Motor Shunt Berbasis Imperalist Competitive Algorithm (ICA)." Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan 9, no. 1 (April 20, 2020): 26–31. http://dx.doi.org/10.32492/jintake.v9i1.756.

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Imperalist Competitive Algorithm (ICA) is one method of artificial intelligence inspired by competition for power. In system optimization this method gets better results than other artificial intelligence methods. DC shunt motors do not need a lot of space because of the small wire diameter, but the output power is very small because the amplifier current is small. A good shunt motor setting is needed to produce the desired motor speed. In this study PID controls were tuned using ICA. This good PID guide will get a good system optimization. As a comparison, the control of the shunt motor speed without control, with PID control, with detuning ICA PID control (PID-ICA). The results showed that the results of PID-ICA had the smallest overshot and undershot, with a speed of 500.00 rpm and the fastest settling time : 1201 s. This research will be developed using other artificial intelligence methods.

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Roberto Cabral da Silva, Edison, Hubert Razik, Lane Maria Rabelo Baccarini, Maurício Beltrão de Rossiter Corrêa, and Cursino Brandão Jacobina. "Application Of Some Artificial Intelligence Techniques In Induction Motor Fault Diagnosis." Eletrônica de Potência 16, no. 3 (August 1, 2011): 241–48. http://dx.doi.org/10.18618/rep.20113.241248.

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Horička, Pavol, and Jaromír Šimonek. "Relationship between motor learning and general intelligence." Studia sportiva 16, no. 1 (August 1, 2022): 44–53. http://dx.doi.org/10.5817/sts2022-1-5.

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AIM: The aim of the research was to find out the differences in the level of motor learning (ML) and general intelligence (IQ). The research sample included 120 boys and girls of primary school and grammar school aged 12-17 years and the subsequent identification of a possible relationship between the two indicators. METHODS: 120 students Elementary school (ES) and Secondary Grammar School (SGS) took part in testing the level of motor learning and intelligence (n = 120). We evaluated the level of ML in boys and girls in the demonstration of learned gymnastic elements. We used the intelligence test to determine the level of general intelligence [1]. RESULTS: The results did not show significant differences in the level of motor learning and intelligence between the genders in either age category. Correlation analysis confirmed a significant relationship between ML and IQ excluding the gender factor (r = -0.297). When gender was taken into account, the relationship was seen only in boys (r = -0.312). We note that we found a lower rate of ML in students with a higher level of intelligence. CONCLUSION: We assume the continuity of certain mental and motor processes, which is called motor intelligence. The results of our research did not show significant differences in the level of ML and IQ in both genders. Boys slightly dominated in ML, girls in IQ. This difference decreases with increasing age.

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Ardiansyah, Ardiansyah. "MENGEMBANGKAN KECERDASAN MULTIPLE INTELLEGENCE ANAK USIA DINI." Musawa: Journal for Gender Studies 13, no. 1 (June 30, 2021): 106–33. http://dx.doi.org/10.24239/msw.v13i1.742.

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The golden age is a period that cannot be repeated again. This period also determines the life of a human being in the future. When learning there are aspects that experience development, namely cognitive, abstract thinking, creative thinking, social-emotional, motor, language or communication, and can also develop creativity. So from this aspect it can improve the development of children's multiple intelligences. Multiple Intelligences include verbal linguistics, logical-mathematical, visual spatial, musical, kinetic, intrapersonal, interpersonal, naturalist and existential. The purpose of this study is to analyze how multiple intelligences can be developed in early childhood. With this research, parents can recognize the intelligence of children and even direct and develop intelligence to the fullest. This research is a qualitative research with literature study. The results of this study are Multiple Intelligence in the aspect of linguistic intelligence and Interpersonal intelligence is very important to be developed in early childhood, because it becomes a bridge in developing children's intelligence, the development of linguistic intelligence provides communication and socialization skills and expresses children to the outside world, while Interpersonal intelligence provides the ability to manage emotional-social so that it becomes a controller for children in thinking and acting towards maturity.

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Ardiansyah, Ardiansyah, and Moh. Alamsyah. "MENGEMBANGKAN KECERDASAN MULTIPLE INTELLEGENCE ANAK USIA DINI." Musawa: Journal for Gender Studies 13, no. 1 (June 30, 2021): 106–33. http://dx.doi.org/10.24239/msw.v13i1.746.

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The golden age is a period that cannot be repeated again. This period also determines the life of a human being in the future. When learning there are aspects that experience development, namely cognitive, abstract thinking, creative thinking, social-emotional, motor, language or communication, and can also develop creativity. So from this aspect it can improve the development of children's multiple intelligences. Multiple Intelligences include verbal linguistics, logical-mathematical, visual spatial, musical, kinetic, intrapersonal, interpersonal, naturalist and existential. The purpose of this study is to analyze how multiple intelligences can be developed in early childhood. With this research, parents can recognize the intelligence of children and even direct and develop intelligence to the fullest. This research is a qualitative research with literature study. The results of this study are Multiple Intelligence in the aspect of linguistic intelligence and Interpersonal intelligence is very important to be developed in early childhood, because it becomes a bridge in developing children's intelligence, the development of linguistic intelligence provides communication and socialization skills and expresses children to the outside world, while Interpersonal intelligence provides the ability to manage emotional-social so that it becomes a controller for children in thinking and acting towards maturity.

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Oktariana, Riza, Anita Yus, and Sanusi Hasibuan. "Bakiak and Interpersonal Intelligence on Physical Motor of Children in Khairani Kindergarten of Aceh Besar." Britain International of Humanities and Social Sciences (BIoHS) Journal 1, no. 2 (October 10, 2019): 205–12. http://dx.doi.org/10.33258/biohs.v1i2.53.

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Physical motor development is one of the five aspects of early childhood development, to achieve the motoric development, especially rough motoric is done through games. Play activities can stimulate a children’s physical motor development , and become one of the other important factors in improving a children’s psychic interpersonal intelligence. Based on this background, the researchers chose the title “Bakiak and Interpersonal Intelligence on Physical Motor of Children in Khairani Kindergarten of Aceh Besar”. Problems formulation in this study are: Is there any effect of bakiak game on children’s physical motor development , is there any effect of interpersonal intelligence on a children's physical motor development, and is there any interaction of bakiak game and interpersonal intelligence on a children’s physical motor development. The research objectives are: To determine the effect of bakiak game on children's physical motor, to determine the effect of interpersonal intelligence on children's physical motor development and to determine the interaction of bakiak game and interpersonal intelligence on children’s physical motor development . The location of the study was conducted at Khairani Kindergarten in Aceh Besar located in Lubok Batee village, Ingin Jaya Subdistricr, Aceh Besar District. This study was conducted on 15 October to 15 December 2018. The research subject of children's group B which amounted to 30 people, consisting of B1 (15 people) and B2 (15 people). This study was conducted by using experimental methods and research design with treatment by level 2 x 2. The research instrument used were bakiak game, interpersonal intelligence observation sheets and motor physical development tests. Research procedures are pretest, treatment, posttest, data processing, data analysis and conclusion. Meet the instrument validity and reliability standards. Data analysis techniques use descriptive data released by Mean, Median, Mode, frequency distribution table and histogram. Testing the analysis prerequisites that is normality and homogeneity data. From the results of data analysis obtained by this study shows the effect of bakiak game and interpersonal intelligence on physical motor of children in Khairani Kindergarten of Aceh Besar

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Real-Pérez, Mateo, Juan Gavala-González, Mar Artacho Silva, and José Carlos Fernández-García. "“Cognition, Intelligence and Movement”: Extracurricular Physical Activity as a Promoter of Intelligence in Schoolchildren." Sustainability 14, no. 7 (March 29, 2022): 4061. http://dx.doi.org/10.3390/su14074061.

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The main objective of this study was to assess the existence of significant relationships between motor capacity, academic performance and intelligence in a sample of 67 pre-adolescent children, between the ages of 8 and 11 years. Speed tests were carried out (10 × 5 m shuttle run and plate tapping test), and academic grades in Spanish Language and Literature, Mathematics, Natural Sciences, Foreign Language (English) and Physical Education were considered. The Raven test was administered to estimate the intelligence of the subjects. The results showed significant correlations, mainly between the motor capacities and intelligence variables but not with academic performance. Significant differences were also observed in subjects who participated in sports, with better results in motor capacities and intelligence tests compared to those who did not. The data reveal that engaging in intense physical activity and sports in general may improve academic performance.

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Borkowska, Aneta R. "Relationship Between Intelligence and Complex Motor Skills in Children With and Without Developmental Dyslexia." Roczniki Psychologiczne 24, no. 3-4 (February 12, 2022): 2443–259. http://dx.doi.org/10.18290/rpsych21242-4s.

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The study investigates the relation between developmental dyslexia, IQ and complex motor skills involving some cognitive and executive functions. The mechanisms underlying the co-existence of disabilities related to reading and writing on the one hand and motor skills on the other hand, still need to be clarified. In the current study it was hypothesised that the level of intelligence may contribute to complex motor skills in dyslexia. The study involved 58 students with developmental dyslexia (age 9.08 yrs; SD = .06) and 50 students constituting a control group (age 9.09 yrs; SD = .06). The measurements were performed using WISC-R, two subtests from the Dyslexia 3 Test, and four complex motor tasks. Children with dyslexia present problems in complex motor tasks, which involved learning of movement sequences and mental rotation. This finding may support the cerebellar deficit hypothesis in dyslexia. Complex motor skills are significantly related to children’s intelligence level or to the interaction of intelligence and dyslexia. Child’s intelligence explains from 7.5% to 35% of the variance in complex motor skills.

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Arlenny and David Setiawan. "Optimization of electrical energy in the fan using fuzzy logic controllers." IOP Conference Series: Earth and Environmental Science 1041, no. 1 (June 1, 2022): 012025. http://dx.doi.org/10.1088/1755-1315/1041/1/012025.

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Abstract Single-phase induction motors are a type of electric machine that are widely used in people’s lives due to it has advantages such as lower prices, simple maintenance and construction. However, the single-phase induction motor also has a weakness, which is difficulty in setting up the rotation. The rotation setting of a single-phase induction motor can be affected by changes in the input frequency and changes in the input voltage. In this study is to design the control of a single-phase induction motor in a commonly used fan. The speed of the single-phase induction motor is regulated based on the number of visitors, using artificial intelligence namely fuzzy logic. The fuzzy logic controller can be group visitors to the room to determine the speed of the fan. The visitors are divided into three groups, namely “many” to indicate the maximum speed, “medium” for medium speed and “few” for low speed. Therefore, this research may contribute as an energy-saving solution using artificial intelligence.

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Lashin, Maha M. A., and Areej A. Malibari. "Implementation of Artificial Intelligence for Diagnosis of the Faults of Motor-Fan System." Journal of Advanced Research in Dynamical and Control Systems 11, no. 11-SPECIAL ISSUE (November 20, 2019): 1162–71. http://dx.doi.org/10.5373/jardcs/v11sp11/20193148.

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Sparrow, W. A., Alison J. Shinkfield, and Nadine Lambe. "Intelligence and Motor Skill Acquisition by Discrimination Learning." Perceptual and Motor Skills 77, no. 2 (October 1993): 651–58. http://dx.doi.org/10.2466/pms.1993.77.2.651.

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This experiment investigated the relation between intelligence and acquisition of motor skill using predictions from Zeaman and House's 1963 attention theory. 20 undergraduate students and 20 subjects of low IQ (WAIS—R Full Scale IQ range 50 to 73, M = 60) made linear positioning movements of long and short amplitude to the left and right of a central starting position. Four conditions (right-long, right-short, left-long, left-short) were created by specifying the corresponding target area on the positioning apparatus. One or both of the paired cues were varied, i.e., left, right, long, or short, while the dimensions of direction and amplitude remained unchanged across conditions. A shift from one condition to the next followed a criterion response of four consecutive movements to the target area. Results supported the hypothesis that subjects of low IQ would require more trials to criterion than subjects of normal IQ across all conditions of direction and extent. There was qualified support for the hypothesised interaction between intelligence and cue shifts. The practical implications and theoretical significance of these findings are discussed.

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Kaur, Manjeet. "Speed Control of DC Motor using Artificial Intelligence." International Journal for Research in Applied Science and Engineering Technology 7, no. 6 (June 30, 2019): 913–17. http://dx.doi.org/10.22214/ijraset.2019.6157.

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Shah, Jagesh V., and Lawrence S. B. Goldstein. "Does Motor Protein Intelligence Contribute to Neuronal Polarity?" Neuron 26, no. 2 (May 2000): 281–82. http://dx.doi.org/10.1016/s0896-6273(00)81158-7.

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O'Toole, Brian I. "Intelligence and behaviour and motor vehicle accident mortality." Accident Analysis & Prevention 22, no. 3 (June 1990): 211–21. http://dx.doi.org/10.1016/0001-4575(90)90013-b.

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Cole, Kevin N., and Susan R. Harris. "INSTABILITY OF THE INTELLIGENCE QUOTIENT-MOTOR QUOTIENT RELATIONSHIP." Developmental Medicine & Child Neurology 34, no. 7 (November 12, 2008): 633–41. http://dx.doi.org/10.1111/j.1469-8749.1992.tb11494.x.

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Olsson, Henrik. "Do We Need the Concept of Motor Intelligence?" Advances in Physiotherapy 4, no. 3 (January 2002): 108–10. http://dx.doi.org/10.1080/140381902320387522.

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Ali, Machrus, Ahmad Ali Syaifudin, and Hidayatul Nurohmah. "Desain Hibrid Menggunakan PID-ANFIS Controller Pada Motor DC Berbasis PSO (Particle Swarm Optimization)." JE-Unisla 6, no. 2 (September 20, 2021): 60. http://dx.doi.org/10.30736/je-unisla.v6i2.707.

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DC motors can be used as generators or motors. For this reason, it is necessary to design the best DC motor speed regulation in order to obtain the best optimization. DC motor setting modeling must be adjusted to the DC motor characteristics and setting model. The results of the performance of the DC control model have a different steady-state error, settling time, and overshoot. From the results of running the program, it is found that the PID-PSO-ANFIS hybrid control model produces the best output performance. The results of PID-PSO-ANFIS optimization show that there is no overshot and undershot, settling time is 0.04 seconds, the motor speed reaches a constant and stable state. This design will be developed using artificial intelligence methods and other controllers in order to obtain the best optimization.

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Sutawinaya, I. Putu, and Anak Agung Ngurah Made Narottama. "Meningkatkan kinerja motor induksi menggunakan teknologi fuzzy logic controller berbasis artificial intelligence." Journal of Applied Mechanical Engineering and Green Technology 2, no. 2 (July 31, 2021): 40–47. http://dx.doi.org/10.31940/jametech.v2i2.2709.

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Motor induksi adalah merupakan motor listrik arus bolak balik (AC) yang umum digunakan pada industri-industri karena memiliki beberapa keuntungan, diantaranya relatif murah, kokoh serta handal. Namun kelemahan motor induksi saat terjadi perubahan torsi beban secara mendadak, maka akan terjadi penurunan kinerja (performansi) motor. Hal tersebut akan berpengaruh terhadap kestabilan putaran motor, di mana overshoot maupun undershoot relatif tinggi serta risetime relatif lambat. Untuk mengantispasi hal tersebut dibutuhkan sistem kontrol kecepatan motor induksi yang tentunya dapat meningkatkan kinerja motor induksi tersebut. Dalam penelitian ini dilakukan pengujian terhadap sistem kontrol kecepatan motor induksi menggunakan teknologi Fuzzy Logic Controller (FLC) melalui simulasi perangkat lunak Matlab. Dilakukan pengujian terhadap perubahan kinerja motor induksi melalui pemberian torsi beban serta setpoint yang berubah-ubah. Adapun hasil simulasi menunjukan bahwa performansi motor induksi, seperti undershoot, overshoot dan steady state error relatif kecil serta peak time, risetime dan settling time relatif cepat. Sistem yang dirancang mampu menurunkan arus start rata-rata sekitar 72,7% dan torsi awal rata-rata sekitar 81,8% terhadap kondisi idealnya.

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Sugihara, Tomomichi. "Motor Intelligence — From Motion to Intelligence that is Open to the Real World." Journal of the Robotics Society of Japan 36, no. 9 (2018): 609–15. http://dx.doi.org/10.7210/jrsj.36.609.

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Shah, Rohan, and Timothy Sands. "Comparing Methods of DC Motor Control for UUVs." Applied Sciences 11, no. 11 (May 28, 2021): 4972. http://dx.doi.org/10.3390/app11114972.

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Adaptive and learning methods are proposed and compared to control DC motors actuating control surfaces of unmanned underwater vehicles. One type of adaption method referred to as model-following is based on algebraic design, and it is analyzed in conjunction with parameter estimation methods such as recursive least squares, extended least squares, and batch least squares. Another approach referred to as deterministic artificial intelligence uses the process dynamics defined by physics to control output to track a necessarily specified autonomous trajectory (sinusoidal versions implemented here). In addition, one instantiation of deterministic artificial intelligence uses 2-norm optimal feedback learning of parameters to modify the control signal, while another instantiation is presented with proportional plus derivative adaption. Model-following and deterministic artificial intelligence are simulated, and respective performance metrics for transient response and input tracking are evaluated and compared. Deterministic artificial intelligence outperformed the model-following approach in minimal peak transient value by a percent range of approximately 2–70%, but model-following achieved at least 29% less error in input tracking than deterministic artificial intelligence. This result is surprising and not in accordance with the recently published literature, and the explanation of the difference is theorized to be efficacy with discretized implementations.

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Piovesana, Adina M., Jessica L. Harrison, and Jacob J. Ducat. "The Development of a Motor-Free Short-Form of the Wechsler Intelligence Scale for Children–Fifth Edition." Assessment 26, no. 8 (December 28, 2017): 1564–72. http://dx.doi.org/10.1177/1073191117748741.

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Purpose. This study aimed to develop a motor-free short-form of the Wechsler Intelligence Scale for Children–Fifth Edition (WISC-V) that allows clinicians to estimate the Full Scale Intelligence Quotients of youths with motor impairments. Method. Using the reliabilities and intercorrelations of six WISC-V motor-free subtests, psychometric methodologies were applied to develop look-up tables for four Motor-free Short-form indices: Verbal Comprehension Short-form, Perceptual Reasoning Short-form, Working Memory Short-form, and a Motor-free Intelligence Quotient. Index-level discrepancy tables were developed using the same methods to allow clinicians to statistically compare visual, verbal, and working memory abilities. Results. The short-form indices had excellent reliabilities ( r = .92-.97) comparable to the original WISC-V. Conclusion. This motor-free short-form of the WISC-V is a reliable alternative for the assessment of intellectual functioning in youths with motor impairments. Clinicians are provided with user-friendly look-up tables, index level discrepancy tables, and base rates, displayed similar to those in the WISC-V manuals to enable interpretation of assessment results.

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LaFollette, K., B. C. Satterfield, S. Esbit, M. Lazar, M. A. Grandner, and W. D. Killgore. "0316 Emotion Regulation During Sleep Deprivation and Repeated Physiological Stress: Implications for Motor Skill Learning and Production." Sleep 43, Supplement_1 (April 2020): A119. http://dx.doi.org/10.1093/sleep/zsaa056.313.

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Abstract Introduction The ability to perform learned motor procedures under stress is a critical skill for many high-risk occupations. Explicit motor skills require top-down cognitive control, which both sleep loss and stress have been found to produce significant degradations, whereas implicit skills rely less on cognitive control and are more resilient to physiological stress. We investigated whether differences in emotion regulation attenuated the effects of sleep deprivation (SD) and acute stress on discrete motor learning. Methods 45 adults (21 F; 22 ± 3.4 years) participated in 28-hours of in-lab SD. Participants completed repeated batteries that included the Maastricht Acute Stress Test (MAST) Karolinska Sleepiness Scale (KSS), Psychomotor Vigilance Test (PVT), and Discrete Sequence Production Task (DSP). Stress response was quantified by salivary cortisol. We quantified DSP motor performance by total accurate sequences, and average movement time on accurate trials. Ability emotional intelligence (EI) was measured with the MSCEIT, while trait EI was measured with the Bar-On EQI. The CD-RISC was included as a measure of resilience. Results Using linear mixed effects models of motor performance indices, we found subjective, trait-based emotional intelligence (EQI) to be associated with worse motor performance over time, and objective, ability-based emotional intelligence (MSCEIT) to be associated with greater movement speed. We further found that greater psychological resilience (CD-RISC) but not emotional intelligence was predictive of stronger and less variable chunking structures during SD. Conclusion Emotional intelligence can influence motor learning under stressful SD, whereas psychological resilience can safeguard learning. Future work should further investigate how trait and ability metrics of EI have opposing effects on responses to stress under SD. Work in this direction could serve to identify difference factors that bolster motor skill production in operational environments where stress and SD are unavoidable. Support US Army Medical Research and Development Command: W81XWH-17-C-0088

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Kusumaningrum, Anita, Fathor Rozi, Hasan Baharun, Yulis Mutiatun, and Niswatun Mardiyah. "Strengthening Children's Motor Intelligence through The Learning Management System." Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini 6, no. 5 (June 16, 2022): 4620–30. http://dx.doi.org/10.31004/obsesi.v6i5.2484.

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This study aims to analyze age and understand online learning in early childhood with the help of Whatsapp video calls to improve motor intelligence. This research uses a case study type approach to get an idea of Whatsapp video call-assisted learning in improving motor intelligence in early childhood, observing and documenting learning activities at the institution. Interviews were conducted with principals, teachers, and guardians of students. This research was conducted at RA Mambaul Irfan, Asembakor, Kraksaan, Probolinggo. The results showed that the strategy for the teacher to improve motor intelligence at an early age through Whatsapp video calls was carried out through; Planning, Program Implementation, and Evaluation. This study appreciates that teacher innovation with various media can be carried out even in pandemic conditions, such as WhatsApp video call media

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Gempita, Valentine Aqwarinna, Bustomi Arifin, Ida Ayu Puspita Sari, Rosyidatun Nafisah, and Rellista Yulianti Putri. "Edu Fun Dancing dan Perkembangan Fisik Motorik Kasar AUD Sebagai Dukungan Literasi Kebudayaan." EDUCULTURAL: International Journal of Education, Culture and Humanities 1, no. 2 (February 28, 2019): 21–25. http://dx.doi.org/10.33121/educultur.v1i2.32.

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There are 6 developmental aspects that need to be developed in early childhood education. These aspects play an important role in developing growth and intelligence in children. One of them is physical motor which is an element of maturity and control of body movements. In this development there are two skills, namely gross motor skills and fine motor skills. Rough motorisation begins with playing which is a rough movement that matches the stages of its development. While fine motors in children includes the child's ability to show and master muscle movements. As early childhood educators, we try to develop children's motor skills through fun and not boring ways. In addition, the purpose of this study is to support traditional culture literacy from an early age.

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Rosenberg, Susan. "Trisha Brown's Water Motor." TDR/The Drama Review 56, no. 1 (March 2012): 150–57. http://dx.doi.org/10.1162/dram_a_00150.

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Trisha Brown's signature solo Water Motor (1978) was the first of her choreographies to make the physical intelligence and virtuosity of Brown's unique dancing body the basis for movement and choreography. Preserved in Babette Mangolte's 1978 film, Water Motor returned to the stage in 2011 in its first performance by a dancer other than Brown—an occasion for reexamining the dance's pivotal role in Brown's career.

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Chaithanakulwat, A., N. Thungsuk, T. Savangboon, S. Kaewpetch, and T. Tanaram. "ARTIFICIAL INTELLIGENCE BASED ON THE OPTIMAL STRATEGY OF MULTILEVEL CONVERTER FOR BRUSHLESS DC MOTOR." Journal of Southwest Jiaotong University 57, no. 1 (February 28, 2022): 246–56. http://dx.doi.org/10.35741/issn.0258-2724.57.1.23.

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This paper presents an interesting novelty in the implementation of artificial intelligence (AI) to apply multi-level converter control, the best strategy for the Brushless DC motor control (BLDC). The interesting highlight of this research is the importance of bringing artificial intelligence (AI) to develop multi-level converter mechanisms using the artificial neural network algorithm. The neural network is a branch of artificial intelligence and is used to detect the magnitude of the input voltage from batteries. The operation of this DC-DC voltage conversion mechanism detects the output voltage and current to control the operation of the multi-level conversion mechanism supplied with six switched three-phase converters (SSTPC) to the BLDC motor controller. For this BLDC motor control mechanism, the neural network algorithm detects the Hall Effect signal to generate a PWM signal to control the action of the SSTPC. Notwithstanding, the prototype mechanism of this research is divided into two parts, the first being the conversion control mechanism multi-level, which is an essential part of voltage regulation. The second is the BLDC motor torque and speed control mechanism. This torque and speed control uses the Hall Effect signal detection principle and processes it with a neural network algorithm to generate a PWM signal to control the SSTPC activity. This neural network algorithm is processed with a DSP-TMS320C2000 microcontroller. However, the results of the prototype mechanism tested; found the importance of artificial intelligence (AI) for developing multi-level conversion mechanisms using artificial neural network algorithms with comparison simulations with programs MATLAB/Simulink. Found that a multi-level conversion control mechanism can control the voltage according to the objectives. In addition, SSTPC can also control the torque and speed of BLDC Motors. Therefore, this research result is a confirmation sign as satisfactory and can be further developed.

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Valadi, Saeed, Carl Gabbard, Saeedeh Sadat Sadrolsadati, and Marzieh Elyasi. "Maternal Emotional Intelligence and the Provision of Child Motor Affordances." Children 9, no. 10 (September 22, 2022): 1442. http://dx.doi.org/10.3390/children9101442.

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Background: Mothers are not only the axis of an ecological subsystem for their children but are also capable of creating a significant emotional and psychological environment through constant and direct interaction. This leads to interactions and emotional connections with the children, supportive behaviors, and a long-term commitment to their upbringing and development. Aims: This study examined the relationship between maternal emotional intelligence (EI) and demographics on the availability of motor affordances in the home environment that are conducive to their child’s motor development. Methods: Mothers (N = 451) and homes of children aged 18–42 months were assessed using the Persian version of Affordances in the Home Environment for Motor Development-Self-Report (AHEMD-SR) and the Bar-On Emotional Intelligence Questionnaire. In addition, mothers’ physical activity (PA) experience and demographic data were collected. Results: Analyses indicated significant correlations between mothers’ education, level of PA, and income with EI and motor affordances. Conclusions: EI, PA experience, and select mother demographics were important to the availability of motor affordances in the home. One could also speculate, based on previous research, that such provision may affect the future motor development of the child. Future research should include a younger and more diverse population.

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Laschi, Cecilia, and Roland S. Johansson. "Bio-inspired sensory-motor coordination." Autonomous Robots 25, no. 1-2 (January 26, 2008): 1–2. http://dx.doi.org/10.1007/s10514-008-9087-6.

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Türkoglu, S., G. Türkoğlu, C. Celik, and H. Ucan. "Intelligence Functioning and Associated Factors in Children with Cerebral Palsy." European Psychiatry 41, S1 (April 2017): S307. http://dx.doi.org/10.1016/j.eurpsy.2017.02.202.

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ObjectivesCerebral palsy (CP) is described as a primary disorder of posture and movement; however, intellectual impairment is prevalent in children with CP.AimThe aim of the present study was to examine the association with intellectual level and gross motor function, hand function, type of CP, and the presence of co-morbid disorders in these children.MethodsA total of 107 children with CP were included in the study. Intellectual functions of the children were determined by clinical assessment, adaptive function of daily life, and individualized standardized intelligence testing. Gross motor function and hand function of the patients were classified using the gross motor function classification system and the bimanual fine motor function measurements.ResultsThe mean age of the patients were 8.10 ± 3.43 years (age: 2–16 years). During clinical typing, we observed that 80.4% of the patients were spastic, 11.2% were mixed, 4.7% were dyskinetic, and 3.7% were ataxic. No significant relationship was determined between the type of CP and intellectual functioning (P > 0.05). Intellectual functioning was found to be significantly correlated negatively with both gross motor function and hand functions level (P < 0.001). The factors related to intellectual functioning were neonatal convulsion (x2 = 12.97, P = 0.002), epilepsy (x2 = 29.221, P < 0.001), and speech disorders (x2 = 23.29, P < 0.001).ConclusionsThere is an association between intellectual functioning in children with CP and the degree of motor impairment, neonatal convulsion, epilepsy, and speech disorders. Intelligence assessment should be an essential part of CP evaluation.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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Menghal, P. M. "Artificial Intelligence Based Dynamic Simulation of Induction Motor Drives." IOSR Journal of Electrical and Electronics Engineering 3, no. 5 (2012): 37–45. http://dx.doi.org/10.9790/1676-0353745.

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Fridland, Ellen. "Skill and motor control: intelligence all the way down." Philosophical Studies 174, no. 6 (September 8, 2016): 1539–60. http://dx.doi.org/10.1007/s11098-016-0771-7.

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Rose, Dawn, Alice Jones Bartoli, and Pamela Heaton. "Measuring the impact of musical learning on cognitive, behavioural and socio-emotional wellbeing development in children." Psychology of Music 47, no. 2 (December 13, 2017): 284–303. http://dx.doi.org/10.1177/0305735617744887.

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This study investigated the effects of musical instrument learning on the concomitant development of cognitive, behavioural and socio-emotional skills in 38 seven- to nine-year-old children. Pre- and post-test measures of intelligence, memory, socio-emotional behaviour, motor ability and visual-motor integration were compared in children who received either extra-curricular musical training (EMT: n = 19) or statutory school music group lessons (SSM: n = 19). Results showed a significant association between musical aptitude and intelligence overall. The EMT group showed a significant increase in IQ (7 points), in comparison to 4.3 points for the SSM group, suggesting an effect of musical learning on intelligence. No effects were found for memory, or for visual motor integration or socio-emotional behaviour. However, significant improvements in gross motor ability where revealed for the EMT group only, for the aiming and catching composite. With regard to the measure of fluid intelligence, these findings support previous studies. The novel use of the Movement Assessment Battery for Children provides evidence that musical learning may support development in a child’s ability to judge distance, consider velocity, focus and use their proprioceptive, interoceptive and exteroceptive nervous systems.

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Wiener, Oswald, and Thomas Raab. "Computing the motor-sensor map." Behavioral and Brain Sciences 27, no. 3 (June 2004): 423–24. http://dx.doi.org/10.1017/s0140525x04500092.

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“Articulate models” subservient to formal intelligence are imagined to be heterarchies of automata capable of performing the “symbolic (quasi-spatial) syntheses” of Luria (1973), where “quasi-spatial” points to the abstract core of spatiality: the symbol productions, combinations, and substitutions of algebraic reckoning. The alleged cognitive role of internal “topographic images” and of “efference copies” is confronted with this background and denied.

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Latash, Mark L., and J. Greg Anson. "Does controlling movement require intelligence?" Behavioral and Brain Sciences 20, no. 3 (September 1997): 533–36. http://dx.doi.org/10.1017/s0140525x97221527.

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Motor control schemes should have an element of control and an element of coordination. The former is a source of initiative and a zroduct of the brain's work (mind, intelligence, or “homunculus”) while the latter can be viewed as a process with constraints emerging at a hierarchically lower, autonomous level. Limiting scientific analysis to an object smaller than the universe necessarily leads to a hierarchical (cybernetic) approach.

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Urbanski, K. "Determining the observer parameters for back EMF estimation for selected types of electrical motors." Bulletin of the Polish Academy of Sciences Technical Sciences 65, no. 4 (August 1, 2017): 439–47. http://dx.doi.org/10.1515/bpasts-2017-0049.

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AbstractIn the paper a procedure for determining the observer parameters for selected types of electrical motors is discussed. The procedure is based on the identity observer developed by Luenberger. The paper presents determining the parameters using calculation examples for the DC motor and also for the permanent magnet synchronous motor (PMSM), which utilize the extended state vector to estimate the back electromotive force (BEMF). Presented observer for PMSM does not need to use the information about load torque. The main task of this study is to show how to utilize these general theory to a specified type of motors. Such procedure avoids the use of time-consuming methods of the parameters selection, which are based on random algorithms or the computational intelligence.

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Lewis, Barbara A., Dorothy M. Aram, and Samuel J. Horwitz. "Language and Motor Findings in Benign Megalencephaly." Perceptual and Motor Skills 68, no. 3_suppl (June 1989): 1051–54. http://dx.doi.org/10.2466/pms.1989.68.3c.1051.

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9 children between the ages of 5 and 12 yr. whose head circumferences were greater than the 98th percentile and showed negative CT scans and histories for disease associated with increased brain size were studied. A battery of language, articulation, intelligence, and motor tests were administered to subjects and in each case to a sibling whose head circumference was normal. Analysis showed few differences in intelligence and language comprehension between the megalencephalic children and their siblings. Significant differences were observed in motor proficiency, with over 50% of the megalencephalic children scoring below the 10th percentile for their age group. Three megalencephalic children displayed articulation errors. All subjects had at least one parent whose head circumference exceeded the 98th percentile. These results suggest a relationship between benign megalencephaly and developmental motor difficulties

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Sakaguchi, Yutaka, and Shiro Ikeda. "Motor planning and sparse motor command representation." Neurocomputing 70, no. 10-12 (June 2007): 1748–52. http://dx.doi.org/10.1016/j.neucom.2006.10.120.

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Vandevoorde, Koenraad, Lukas Vollenkemper, Constanze Schwan, Martin Kohlhase, and Wolfram Schenck. "Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks." Sensors 22, no. 7 (March 23, 2022): 2481. http://dx.doi.org/10.3390/s22072481.

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Humans learn movements naturally, but it takes a lot of time and training to achieve expert performance in motor skills. In this review, we show how modern technologies can support people in learning new motor skills. First, we introduce important concepts in motor control, motor learning and motor skill learning. We also give an overview about the rapid expansion of machine learning algorithms and sensor technologies for human motion analysis. The integration between motor learning principles, machine learning algorithms and recent sensor technologies has the potential to develop AI-guided assistance systems for motor skill training. We give our perspective on this integration of different fields to transition from motor learning research in laboratory settings to real world environments and real world motor tasks and propose a stepwise approach to facilitate this transition.

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Putri, Ameiliana Dwi Siroh, Budi Susetyo, and Riksma Nurahmi Rinalti Akhlan. "Improving the Fine Motor Skills of Intelligence Impaired Children Through Cutting and Paste Activities with Worksheets at SLB Solokuro Lamongan." INCLUSIVE EDUCATION 1, no. 1 (September 30, 2022): 1–6. http://dx.doi.org/10.57142/inclusion.v1i1.2.

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This research was conducted to develop the fine motor skills of a child with Intelligence Impaired in grade I at SLB Solokuro, Lamongan Regency through cutting and pasting pictures using worksheet media. This study aims to prove that worksheets can be used as a medium to improve the fine motor skills of Intelligence Impaired Children . The method used in this study uses a single subject research (SSR) with an A-B-A design. Measuring and collecting data on baseline conditions (A1), providing intervention (B) with worksheet media, and baseline conditions (A2). Variable measurement using the percentage of the number of instrument items. The results showed an increase in fine motor skills cutting and sticking, where initially the baseline condition (A1) at the first and second meeting was 25%, 25%. The first to fourth interventions (B) were 33.3%, 50%, 58.3%, 62.5% and at baseline (A2) 83.3%, 83.3%. Based on these results, it shows that the worksheet is effectively used as a medium in cutting and pasting activities to improve the fine motor skills of Intelligence Impaired Children.

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Watson, Betty U. "Some Relationships Between Intelligence and Auditory Discrimination." Journal of Speech, Language, and Hearing Research 34, no. 3 (June 1991): 621–27. http://dx.doi.org/10.1044/jshr.3403.621.

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Some of the earliest scientific attempts to understand the nature of intelligence investigated differences in sensory discrimination and reaction time. There is once again interest in the relations between such simple abilities and intelligence, partly as a result of the application of information-processing paradigms to the study of intelligence. Correlations in the range of .3 to .8 have been reported between psychometric measures of intelligence and performance on simple cognitive, sensory, and motor tasks The current study reports correlations between scores on a battery of auditory discrimination tasks and measures of intelligence and academic aptitude in two samples of college students. The correlations between the intellectual and academic aptitude measures and the total percent correct on the auditory battery ranged from .45 to .59. These results are consistent with recent findings of significant relationships between simple sensory, cognitive, and motor abilities and psychometric intelligence as well as with much earlier reports by Spearman (1904) and others of relationships between pitch discrimination and intelligence. An implication of these findings is that intelligence is a potential confounding variable in studies of the auditory perceptual abilities of various clinical populations.

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Zhang, Yahui, and Kai Yang. "Fault Diagnosis of Submersible Motor on Offshore Platform Based on Multi-Signal Fusion." Energies 15, no. 3 (January 20, 2022): 756. http://dx.doi.org/10.3390/en15030756.

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As an important production equipment of the offshore platform, the operation reliability of submersible motors is critical to oil and gas production, natural gas energy supplies, and social and economic benefits, etc. In order to realize the health management and fault diagnosis of submersible motors, a motor fault-monitoring method based on multi-signal fusion is proposed. The current signals and vibration signals were selected as characteristic signals. Through fusion correlation analysis, the correlation between different signals was established to enhance the amplitude at the same frequency, so as to highlight the motor fault characteristic frequency components, reduce the difficulty of fault identification, and provide sample data for motor fault pattern identification. Furthermore, the wavelet packet node energy analysis and back propagation neural network were combined to identify the motor faults and realize the real-time monitoring of the operating status of the submersible motor. The genetic algorithm was used to optimize the parameters of the neural network model to improve the accuracy of motor fault pattern recognition. The results show that the combination of multi-signal fusion monitoring and an artificial intelligence algorithm can diagnose motor fault types with high confidence. This research originally proposed the fusion correlation spectrum technology, which solved the shortcomings of the small amplitude and complex composition of the single signal spectrum components in the fault diagnosis and improved the reliability of the fault diagnosis. It further combined the neural network to realize the automatic monitoring and intelligent diagnosis of submersible motors, which has certain application value and inspiration in the field of electrical equipment intelligent monitoring.

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Wang, Zhiyu, and Timothy Sands. "Artificial Intelligence-Enhanced UUV Actuator Control." AI 4, no. 1 (February 16, 2023): 270–88. http://dx.doi.org/10.3390/ai4010012.

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This manuscript compares deterministic artificial intelligence to a model-following control applied to DC motor control, including an evaluation of the threshold computation rate to let unmanned underwater vehicles correctly follow the challenging discontinuous square wave command signal. The approaches presented in the main text are validated by simulations in MATLAB®, where the motor process is discretized at multiple step sizes, which is inversely proportional to the computation rate. Performance is compared to canonical benchmarks that are evaluated by the error mean and standard deviation. With a large step size, discrete deterministic artificial intelligence shows a larger error mean than the model-following self-turning regulator approach (the selected benchmark). However, the performance improves with a decreasing step size. The error mean is close to the continuous deterministic artificial intelligence when the step size is reduced to 0.2 s, which means that the computation rate and the sampling period restrict discrete deterministic artificial intelligence. In that case, continuous deterministic artificial intelligence is the most feasible and reliable selection for future applications on unmanned underwater vehicles, since it is superior to all the approaches investigated at multiple computation rates.

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Atak, Ebrar, and Zeliha Candan Algun. "Dual-Task Balance Training for Motor Skill Development among Children with Intelligence Quotient Discrepancy." Rehabilitation Research and Practice 2022 (January 15, 2022): 1–7. http://dx.doi.org/10.1155/2022/2822171.

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The motor skills of people with mental disabilities are reportedly reduced compared with those of their peers. Therefore, any task incorporating both motor and cognitive skills was hypothesized to provide better motor recovery. The aim of this study is to find the effect of dual-task balance training (DTBT) on motor skill development in children of 6–13 years with intelligence quotient discrepancy (IQD) (score: 50–79). Overall, 30 individuals with mental disabilities aged 6–13 years having an IQ score of 50–79 were included. The participants were randomly divided into two groups that received dual-task training and standard balance training, respectively. IQ was measured with the Wechsler Intelligence Scale for Children-Revised, motor proficiency with the Bruininks–Oseretsky test, reaction time with COGNIBOARD, and balance with Functional Reach Test scores. Intervention was provided twice a week for 12 consecutive weeks. Participants in both groups showed higher test scores in all tests after the training program. Both training programs positively affected the motor performance of the participants. The DTBT was more effective in improving balance performance than the standard balance training. DTBT is a better tool than conventional balance training for improving motor skills and balance in children of 6–13 years with IQD (score: 50–79).

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Maghfiroh, Hari, Musyaffa’ Ahmad, Agus Ramelan, and Feri Adriyanto. "Fuzzy-PID in BLDC Motor Speed Control Using MATLAB/Simulink." Journal of Robotics and Control (JRC) 3, no. 1 (June 30, 2021): 8–13. http://dx.doi.org/10.18196/jrc.v3i1.10964.

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Brushless DC motors (BLDC) are one of the most widely used types of DC motors, both in the industrial and automotive fields. BLDC motor was chosen because it has many advantages over other types of electric motors. However, in its application in the market, most of the control systems used in BLDC motors still use conventional controls. This conventional method is easy and simple to apply but has many weaknesses, one example is that if the system state changes, then the parameters of the PID must also be changed so that static and dynamic performance will decrease, causing slow response and frequent oscillations. In this study, the design and simulation of a speed control system for BLDC motors using the Fuzzy-PID method were carried out. The research method is performed through simulation with Matlab / Simulink. The simulation is carried out by providing a speed setpoint input of 650 rpm and used 2 methods, namely Fuzzy-PID Logic and Pi conventional method which was carried out for 1 second. The test results show that the Fuzzy-PID control can provide better and more stable performance than the conventional PI control. The use of Fuzzy-PID control can reduce speed fluctuation and torque stability so that the BLDC motor can operate more efficiently and reliably.

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Pahrul Rodji, Achmad, Iim Wasliman, Hendi Suhendraya Muchtar, and Nandang Koswara. "Physical Education Learning Management in Fostering Students' Kinesthetic Intelligence." International Journal of Educational Research & Social Sciences 3, no. 3 (June 25, 2022): 1084–88. http://dx.doi.org/10.51601/ijersc.v3i3.367.

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Kinesthetic-based physical education learning has a great opportunity to develop multiple intelligences in students at school, Through physical education carried out in schools, it can be used as a tool to help students improve motor skills, health, fitness, character building, personality, discipline and inculcating the values of honesty, cooperation and responsibility. Currently, the reality of teachers in the field does not understand the role of physical education in the educational process, most teachers argue that sport is only for maintaining health and has not yet reached the role of physical education in supporting the development of children's intelligence. The purpose of this study was to see how far the implementation of physical education in improving kinesthetic intelligence in Madrasah Ibtidayyah (MI) Al-Firdaus and MI Yanuri through a management approach. Specifically, this study describes the principles of management theory, including: (1) planning, (2) organizing, (3) implementing, and (4) evaluating physical education and its relationship with kinesthetic intelligence using management theory from GR Terry and Howard Gadner's theory of kinesthetic intelligence. This study uses a descriptive method with a qualitative approach and data collection by conducting observations, interviews, and documentation studies.

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Nasim, S. F., S. Fatimah, and A. Amin. "ARTIFICIAL INTELLIGENCE IN MOTOR IMAGERY-BASED BCI SYSTEMS: A NARRATIVE." Asian Journal Of Medical Technology 2, no. 2 (August 5, 2022): 55–64. http://dx.doi.org/10.32896/ajmedtech.v2n2.55-64.

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Artificial intelligence concepts using machine learning models are implemented in medicines to examine medical data and gain insights to improve decision-making. This paper provides a narrative review of “Motor Imagery based brain-computer interface systems”. The essential techniques of machine learning and deep learning are reviewed and compared based on computation and test data accuracy. Various preprocessing and feature extraction techniques are highlighted in this paper, which include FFT-LDA, Wavelet Packet Decomposition (WPD), CSP Algorithm, Fisher ratio algorithm, Discrete Wavelet Transform, and Filter Bank Common Spatial Pattern (FBCSP). This method collects outcomes with multiple perspectives of the MI-BCI and optimizes it. Necessary details of Algorithms applied are also compared to give an insight into Ml techniques.

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ONO, Kohei, Tenkai KIN, Ryo HIRAI, and Takanori ITO. "Power Consumption Reduction in Small Sized Motor using Artificial Intelligence." Proceedings of Mechanical Engineering Congress, Japan 2019 (2019): S40101. http://dx.doi.org/10.1299/jsmemecj.2019.s40101.

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Journal articles on the topic 'Motor Intelligence'

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