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Journal articles on the topic 'Self-adaption'

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Published: 10 December 2022

Last updated: 19 February 2023

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1

Hutchinson, Lynda R., and Nicholas F. Skinner. "SELF-AWARENESS AND COGNITIVE STYLE: RELATIONSHIPS AMONG ADAPTION-INNOVATION, SELF-MONITORING, AND SELF-CONSCIOUSNESS." Social Behavior and Personality: an international journal 35, no. 4 (January 1, 2007): 551–60. http://dx.doi.org/10.2224/sbp.2007.35.4.551.

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Adaption-innovation is a construct of preferred problem-solving style; adaptors work best within clear guidelines and prefer to “do things better”, whereas innovators bridle at structure and prefer to “do things differently”. Adaption-innovation bears considerable putative similarity to self-monitoring and self-consciousness. In this study the relationships among these constructs were explored using the responses of 55 undergraduate students (48 females, 7 males) on the Kirton Adaption-Innovation Inventory (KAI; Kirton, 1976), the Self- Monitoring Scale (Snyder & Gangestad, 1986) and the Self-Consciousness Scale (Fenigstein, Scheier, & Buss, 1975). Higher adaption-innovation scores were significantly and positively associated with higher self-monitoring scores and significantly and negatively associated with social anxiety scores. In addition, multiple regression analyses indicated that the facets of self-consciousness as well as self-monitoring significantly predicted adaption-innovation. The implications of examining cognitive style in relation to interpersonal attributes are discussed.

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2

Goldsmith, Ronald E., and Timothy A. Matherly. "Adaption-Innovation and Self-Esteem." Journal of Social Psychology 127, no. 3 (June 1987): 351–52. http://dx.doi.org/10.1080/00224545.1987.9713704.

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3

Odeh, Salim, and Iyad Abu Bakr. "The Self Concept and its Relation with Psychological Adaptaion in the Delinquent Juvenile who are Registered in the Ministry of Social Development." مجلة جامعة فلسطين التقنية للأبحاث 8, no. 3 (December 1, 2020): 96–119. http://dx.doi.org/10.53671/pturj.v8i3.115.

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This study is aimed to identify the self-concept and its relation with psychological adaption in the delinquent juvenile, who are registered in the ministry of social development, and the impact of some demographical variants (age, and monthly income), on the self-conception and psychological adaption on them, from the delinquent juvenile who are registered in the ministry of social development point of view، in Ramallah and Tubas governorates. The study sample consists of all juvenile who are registered in the ministry of social development in 2016, whose number is 2460 delinquent juvenile, among them a clustered and Random sample which has been chosen from Ramallah and Tubas and consist of 334 delinquent juvenile. The researchers has used the descriptive method, due to its suitable way to the study using the tools which has been developed by the researcher, they are; The self-concept and the psychological self-adaption, and after the collection of data it was analysed, and the result is as follow: The self-conception of the delinquent juvenile who are registered in the ministry of social development was moderate on the total level of self-concept. The study indicates that the level of psychological adaption of the delinquent juvenile who are registered in the ministry of social development was moderate. The results show a positive conected relation with statistical indication between the self-concept and the psychological adaption, which means the increase in self-concept results an increase in the psychological adaption in the delinquent juvenile, although relation level between self-conception and psychological adaption equal 53.3%. The study results show statistical differences between the delinquent juvenile sample members who are registered in the ministry of social development, in relation to self-concept by age, the differences average were tended to favour age group between 15-18 years old. The study results show that there is a statistical differences among the study members who are registered in the ministry of social development in the fields of ( self-concept and psychological adaption) in relation to the family income, the study results show that the differences in relation to family income were in favour of the family with high income, which means that as much the income increases the self-concept increases in the delinquent juvenile, in addition to that the increase of income will increase the psychological adaption in the delinquent juvenile in both fields (self-conception and the self-adaption) were in favour of the family with high income more than that of law income .

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4

Odeh, Salim, and Iyad Abu Bakr. "The Self Concept and its Relation with Psychological Adaptaion in the Delinquent Juvenile who are Registered in the Ministry of Social Development." مجلة جامعة فلسطين التقنية خضوري للأبحاث 8, no. 3 (December 1, 2020): 96–119. http://dx.doi.org/10.53671/ptukrj.v8i3.115.

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This study is aimed to identify the self-concept and its relation with psychological adaption in the delinquent juvenile, who are registered in the ministry of social development, and the impact of some demographical variants (age, and monthly income), on the self-conception and psychological adaption on them, from the delinquent juvenile who are registered in the ministry of social development point of view، in Ramallah and Tubas governorates. The study sample consists of all juvenile who are registered in the ministry of social development in 2016, whose number is 2460 delinquent juvenile, among them a clustered and Random sample which has been chosen from Ramallah and Tubas and consist of 334 delinquent juvenile. The researchers has used the descriptive method, due to its suitable way to the study using the tools which has been developed by the researcher, they are; The self-concept and the psychological self-adaption, and after the collection of data it was analysed, and the result is as follow: The self-conception of the delinquent juvenile who are registered in the ministry of social development was moderate on the total level of self-concept. The study indicates that the level of psychological adaption of the delinquent juvenile who are registered in the ministry of social development was moderate. The results show a positive conected relation with statistical indication between the self-concept and the psychological adaption, which means the increase in self-concept results an increase in the psychological adaption in the delinquent juvenile, although relation level between self-conception and psychological adaption equal 53.3%. The study results show statistical differences between the delinquent juvenile sample members who are registered in the ministry of social development, in relation to self-concept by age, the differences average were tended to favour age group between 15-18 years old. The study results show that there is a statistical differences among the study members who are registered in the ministry of social development in the fields of ( self-concept and psychological adaption) in relation to the family income, the study results show that the differences in relation to family income were in favour of the family with high income, which means that as much the income increases the self-concept increases in the delinquent juvenile, in addition to that the increase of income will increase the psychological adaption in the delinquent juvenile in both fields (self-conception and the self-adaption) were in favour of the family with high income more than that of law income .

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5

Yanqiang GE, Xiangzheng WANG, and Aimin WANG. "A Self-adaption Gemini Harmony Search Algorithm." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 4, no. 12 (July 15, 2012): 304–11. http://dx.doi.org/10.4156/aiss.vol4.issue12.35.

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6

ZHAO, Qi, Xuan-Zhe LIU, Xu-Dong WANG, Gang HUANG, and Hong MEI. "Rich Client Middleware for Runtime Self-Adaption." Journal of Software 24, no. 7 (January 16, 2014): 1419–35. http://dx.doi.org/10.3724/sp.j.1001.2013.04319.

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7

Abood, Mohammed H., Bassam H. Alharbi, Fatin Mhaidat, and Ahmad M. Gazo. "The Relationship between Personality Traits, Academic Self-Efficacy and Academic Adaptation among University Students in Jordan." International Journal of Higher Education 9, no. 3 (March 12, 2020): 120. http://dx.doi.org/10.5430/ijhe.v9n3p120.

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The current study investigates the relationship between personality traits according to the big five personality factors model, academic self-efficacy and academic adaptation among Hashemite University students in light of gender and specialization. The purposive sample consisted of 546 under graduated students, 258 males and 306 females. Three scales are used: the Five Factor Model (FFM), for academic self-efficacy and for academic adaption. The results show statistically significant differences in the average of participants’ degrees attributed to efficacy and academic adaption in favor of females and scientific specializations. They also show that agreeableness, conscientiousness, openness to experience, extroversion and neuroticism are most common among university students, with a statistically significant positive correlation between extroversion, openness to experience, academic self-efficacy and academic adaption and a negative correlation between neuroticism, conscientiousness, academic self-efficacy and academic adaption. No correlation was found between agreeableness and these two variables.

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8

Kiraly, Brian, Elze J. Knol, Werner M. J. van Weerdenburg, Hilbert J. Kappen, and Alexander A. Khajetoorians. "An atomic Boltzmann machine capable of self-adaption." Nature Nanotechnology 16, no. 4 (February 1, 2021): 414–20. http://dx.doi.org/10.1038/s41565-020-00838-4.

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9

Liu, Zhang Shi. "The Application of Self-Adaptive Design in Improvement of the Restoring Strand Operation Mechanism." Key Engineering Materials 579-580 (September 2013): 420–24. http://dx.doi.org/10.4028/www.scientific.net/kem.579-580.420.

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Aiming at solving the problem that the existing restoring strand operation mechanism cannot realize self-adaption to the variation of position and shape of transmission lines, a method for self-adaptive mechanism design is introduced and summarized to meliorate the mechanism. This method is effective and practical, which can be applied to most common mechanism design: first of all, analyze the structural features of the self-adaptive mechanism; secondly, establish a universal method to determine the structure type named as initial kinematic chain which contains information of the degree of freedom (DOF), the number of links and the kinematic relations between every two of them; finally, considering the features of the existing mechanism, apply the self-adaption design to realize the required mechanism by inverting the initial kinematic chain, and build models and simulations to prove that the improved mechanism does have the ability of self-adaption to the location and shape variation of transmission lines.

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10

Chen, Guomin, Yingwei Jin, Huili Wang, and Shuo Cao. "Intelligent Decision Support Algorithm Based on Self-Adaption Reasoning." International Journal of Computers Communications & Control 12, no. 6 (December 4, 2017): 803. http://dx.doi.org/10.15837/ijccc.2017.6.2898.

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This paper analyzes the logic deduction and reasoning techniques usedin several intelligent decision support algorithms, and proposes a flexible planningmethod GARIv using fuzzy descriptive logic in media enterprise management. Combinedwith experiments, the above methods are illustrated in terms of effectivenessand feasibility. In the end, the challenges and possible solutions of intelligent decisionsupport algorithms with self-adaption reasoning are discussed.

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11

Li-Jiang, Yang, and Chen Tian-Lun. "Capability Analysis of Chaotic Mutation and Its Self-Adaption." Communications in Theoretical Physics 38, no. 5 (November 15, 2002): 555–60. http://dx.doi.org/10.1088/0253-6102/38/5/555.

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12

Wu, Xin, Dian Jiao, and Lan You. "Nonintrusive on-site load-monitoring method with self-adaption." International Journal of Electrical Power & Energy Systems 119 (July 2020): 105934. http://dx.doi.org/10.1016/j.ijepes.2020.105934.

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13

Meng, Fannian, Ziqi Zhang, and Liangwen Wang. "Volute Optimization Based on Self-Adaption Kriging Surrogate Model." International Journal of Chemical Engineering 2022 (December 1, 2022): 1–12. http://dx.doi.org/10.1155/2022/6799201.

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Optimizing the volute performance can effectively improve the efficiency of a centrifugal fan by changing the volute geometric parameter, so the self-adaption Kriging surrogate model is used to optimize the volute geometric parameter. Firstly, volute radius Rd, the radius of tongue r, and outlet angle of the volute θ are selected as the optimization parameters of the volute, and latin hypercube sampling is used to configure the initial sample points, the corresponding three-dimensional aerodynamic model under each sample point configuration is constructed. CFD software is used to simulate the aerodynamic efficiency and total pressure of the centrifugal fan under each initial sample point configuration. Secondly, the Kriging surrogate model of initial sample point configuration parameters, aerodynamic efficiency, and total pressure of volute is constructed, and sample points are added by expectation improvement (EI) method to improve the fitting accuracy of Kriging surrogate model. Finally, the high-precision Kriging surrogate model is used as the fitness function of NSGA-II algorithm to find the Pareto optimal solution under multiobjective optimization, and the optimization target are aero dynamical efficiency and total pressure. The rationality of the above method is verified by optimizing the 9–19.4A type centrifugal fan volute. The efficiency of the optimized fan under working conditions is increased by 1%, and the total pressure under working conditions is not reduced. The optimized volute can effectively improve the overall performance of the centrifugal fan. This study is helpful to promote the application of numerical optimization design method in the volute of centrifugal fan. It provides reference for the optimization design of high-performance centrifugal fan.

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14

Xiao, Zhong, Jingtong Wang, Chen Yi, Zairong Wang, and Liang Wang. "The Dissolved Oxygen Sensor Design Based on Ultrasonic Self-Adaption and Self-Cleaning." Complexity 2020 (July 3, 2020): 1–8. http://dx.doi.org/10.1155/2020/3297203.

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Dissolved oxygen sensor is the key of dissolved oxygen measurement and it is usually implemented by electrochemical method, which measures dissolved oxygen content by the diffusion rate of molecular oxygen through film. However, the film on the electrochemical sensor probe is most likely to be blocked up by the waterborne contaminant, which may reduce the service life of the sensor and the indirect influence on the sensor’s current. This is caused by changes of water temperature, which may lead to the decline in the accuracy of the sensor’s output. This paper suggests a new method to implement the intelligent dissolved oxygen sensor. Our method mainly aims at ultrasonic automatic cleaning, automatic adjustment, and adaptation for the changes of temperature, which can not only regularly clean the dissolved oxygen sensor probe but also automatically calibrate the instruments based on the changes of temperature by combining software and hardware. The experiments show that the ultrasonic cleaning technology can not only increase the service life of the sensor by cleaning the film on the probe safely and effectively but also improve the accuracy of the sensor’s output. Our method also has the advantages of simple structure, high accuracy of measurement, long service life, convenience, and stability, which is suitable for application and popularization.

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15

Li, Xiaohan, Xiaozhen Zhang, and Xiang Zhou. "Depth segmentation using disparity and self-adaption fringe modulation analysis." Optics & Laser Technology 141 (September 2021): 107107. http://dx.doi.org/10.1016/j.optlastec.2021.107107.

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16

Zhao, Fan, Wenda Zhao, Libo Yao, and Yu Liu. "Self-supervised feature adaption for infrared and visible image fusion." Information Fusion 76 (December 2021): 189–203. http://dx.doi.org/10.1016/j.inffus.2021.06.002.

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17

Cao, Danyang, Di Liu, Xu Ren, and Nan Ma. "Self-Adaption AAE-GAN for Aluminum Electrolytic Cell Anomaly Detection." IEEE Access 9 (2021): 100991–1002. http://dx.doi.org/10.1109/access.2021.3097116.

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18

Xu, Yan-Chun, Xiao-Dong Qu, and Zhen-Xing Li. "Frequency detection of self-adaption control based on chaotic theory." Chinese Physics B 24, no. 3 (February 26, 2015): 034301. http://dx.doi.org/10.1088/1674-1056/24/3/034301.

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19

Fan, Yuqi, Junpeng Shao, Guitao Sun, and Xuan Shao. "A Self-Adaption Butterfly Optimization Algorithm for Numerical Optimization Problems." IEEE Access 8 (2020): 88026–41. http://dx.doi.org/10.1109/access.2020.2993148.

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20

Xiaofeng, Guo, Xiang Qingpei, Tian Dongfeng, Hao Fanhua, Wang Yi, and Zhang Yingzeng. "Self-adaption Compton imaging algorithm for a quasi-point source." Applied Radiation and Isotopes 140 (October 2018): 41–49. http://dx.doi.org/10.1016/j.apradiso.2018.06.006.

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21

Xiao, Caiming, Lianxi Si, Yiming Liu, Guoqing Guan, Dihua Wu, Zhongde Wang, and Xiaogang Hao. "Ultrastable coaxial cable-like superhydrophobic mesh with self-adaption effect: facile synthesis and oil/water separation application." Journal of Materials Chemistry A 4, no. 21 (2016): 8080–90. http://dx.doi.org/10.1039/c6ta01621a.

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22

Elder, Richard L. "Relationships between Adaption-Innovation, Experienced Control, and State-Trait Anxiety." Psychological Reports 65, no. 1 (August 1989): 47–54. http://dx.doi.org/10.2466/pr0.1989.65.1.47.

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This study examines correlations among scores on the Kirton Adaption-Innovation Inventory, the Tiffany Control Scales, and the Spielberger State-Trait Anxiety Inventory for 104 undergraduates enrolled in the general psychology classes at a middle-sized midwestern university. Analysis indicated that adaptors and innovators perceive control from and/or over some aspects of their lives differently. Innovators feel control over internal (self) and over external (environment) while adaptors feel control from internal (self) and from external (environment). These results suggest innovators generally feel that they are in control of both themselves and the environment. Adaptors, however, generally feel they are controlled by internal drives and impulses or environmental events. The present study yielded no correlation between choice of college major and adaption-innovation but more research is needed. A relation between adaption and state anxiety was found, which may suggest adaptors feel more pressure when completing a novel task (answering questionnaires) than innovators. Finally, no significant correlation was found between the Kirton scores and trait anxiety.

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23

Huang, Guo Rui, Fei Liu, Xu Cheng, and Chao Fan Qiu. "The ERM-Based Self-Adaptive Agent Model." Advanced Materials Research 341-342 (September 2011): 494–98. http://dx.doi.org/10.4028/www.scientific.net/amr.341-342.494.

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Inspired by the mechanism of behaviour control of organisms, this paper attempts to build an underlying model of their physical and psychological activities in a dynamic environment with the purpose to achieve the self-adaption of robot behaviour in a complex, changeable environment. It designs an internal environment and emotion- & motive-generating models based upon the endocrine regulation mechanism (ERM). The robot relies upon the dynamic stability of the internal environment to accomplish its self-adaption to the external environment. The emotion-generating model is applied to in vivo and in vitro contingencies of various kinds; by releasing hormones, the emotion generated influences the robot’s in vivo and in vitro perception, and then its behavioural choice. The motive-generating model is employed to maintain the relative stability of the internal environment, and the motive generated leads to the corresponding behavioural choice directly. The experimental results prove the effectiveness of this ERM-based self-adaptive robot model.

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Fan, Jinchang, Canjun Yang, Yanhu Chen, Hansong Wang, Zhengming Huang, Zhicheng Shou, Ping Jiang, and Qianxiao Wei. "An underwater robot with self-adaption mechanism for cleaning steel pipes with variable diameters." Industrial Robot: An International Journal 45, no. 2 (March 19, 2018): 193–205. http://dx.doi.org/10.1108/ir-09-2017-0168.

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Purpose This paper aims to present an underwater climbing robot for wiping off marine life from steel pipes (e.g. jackets of oil platforms). The self-adaption mechanism that consists of a passive roll joint and combined magnet adhesion units provides the robot with better mobility and stability. Design/methodology/approach Adhesion requirements are achieved by analyses of falling and slipping. The movement status on pipes is analyzed to design the passive roll joint. The optimized structure parameters of the combined magnet adhesion unit are achieved by simulations. An approximation method is established to simplify the simulations conditions, and the simulations are conducted in two steps to save time effectively. Findings The self-adaption mechanism has expected performance that the robot can travel on pipes in different directions with high mobility. Meanwhile, the robot can clean continuous region of underwater pipes’ surface of offshore platforms. Practical implications The proposed underwater robot is needed by offshore oil platforms as their jackets require to be cleaned periodically. Compared with traditional maintenance by divers, it is more efficient, economic and safety. Originality/value Due to the specific self-adaption mechanism, the robot has good mobility and stability in any directions on pipes with different diameters. The good performance of striping attachments from pipes makes the underwater robot be a novel solution to clean steel pipes.

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25

Lu, Mei Lei, Hai Lun Wang, and Jian Wei Shen. "DSP-Based Intelligent Split-Phase Self-Adaption Reactive Power Compensation Controller." Advanced Materials Research 490-495 (March 2012): 900–904. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.900.

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DSP-based intelligent split-phase self-adaption reactive power compensation controller was designed to real-time monitor the dynamic reactive power compensation of power grid parameters. The controller uses the capture unit and A/D conversion unit of DSP chip to respectively complete the power grid frequency measurement and power grid signal sampling, which simplifies the hardware architecture of the system, adopts split-phase dynamic reactive power compensation technology, and guarantees the realization of reactive power compensation via compensation capacitor switching when the three-phase load is unbalanced. The operation results showed that this controller could real-time monitor the parameters of power grid, accurately and rapidly switch the capacitor set with no impact according to the operation status of power grid, making the power factor of load stay within the reasonable range, improving the supply power quality.

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26

., Shenshutao, and Gaofei . "Self-adaption Image Enhancement Algorithm Based on Rule Fuzzy Inference Mechanism." International Journal of Hybrid Information Technology 9, no. 9 (September 30, 2016): 263–74. http://dx.doi.org/10.14257/ijhit.2016.9.9.25.

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27

Jia, Hai Long, and Kun Cao. "An Application Research on Adaptive Learning Algorithm in Image Recognition." Advanced Materials Research 926-930 (May 2014): 2947–50. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2947.

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This paper studies adaptive learning for diagnostic image recognition and expounds that adaptive resonance theory is utilized to achieve ART artificial neural network of self-stability and self-makeup for recognition, which meets the requirement of learning and adaption. In terms of the principle, an algorithm of self-stability and classifier learning is also provided.

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28

Biedermann, Alexander, Sorin A. Huss, and Adeel Israr. "Safe Dynamic Reshaping of Reconfigurable MPSoC Embedded Systems for Self-Healing and Self-Adaption Purposes." ACM Transactions on Reconfigurable Technology and Systems 8, no. 4 (October 2015): 1–22. http://dx.doi.org/10.1145/2700416.

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29

Guo, Shengli, Jun Tang, Jun Ma, and Chunni Wang. "Autaptic Modulation of Electrical Activity in a Network of Neuron-Coupled Astrocyte." Complexity 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/4631602.

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Autapse connection is considered on a biological neuron coupled by astrocyte, and the effect of autapse driving-induced response in electrical activities is investigated. In this paper, a simple network is developed on the Hodgkin-Huxley (HH) neuron coupled by astrocyte and the autapse effect is also considered. The modulation of autapse connected to HH neuron can change the membrane potential by applying time-delayed feedback along a close loop. It is found that the self-adaption of autapse driving can make the network of neuron-astrocyte generate different modes of electrical activities, and oscillating behavior of Ca2+and IP3setting is controlled. This new network model can give potential understanding about self-adaption of neuron to external forcing when the coupling of astrocyte and autapse is considered.

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Wang, Qi Sheng, and Xue Ling Wang. "Convergence Analysis and the Nested Refinement for the Trapezoid Finite Element." Advanced Materials Research 317-319 (August 2011): 1921–25. http://dx.doi.org/10.4028/www.scientific.net/amr.317-319.1921.

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In this paper, a class of the new method of nested refinement based on self-adaption grid is discussed. The level trapezoid grid nested refinement on the plan domain and some related properties are investigated, and the convergence results are obtained for the second order self-adjoint elliptic problem on the trapezoid finite element.

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Xu, Xiang Yang, Li Jie Wang, and Qiao Chen. "A Self-Environment Adaption Model for Cross-Media Reproduction of Digital Image." Applied Mechanics and Materials 262 (December 2012): 134–37. http://dx.doi.org/10.4028/www.scientific.net/amm.262.134.

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A self- environment adaption model for cross-media reproduction of digital image is presented in this paper.This model is used to color conversion, makes image adaptive display according to ambient light changes. Experimental results show that this model can be used in all kinds of image processing systems for the displaying of image, particularly suitable for handheld image display apparatus.

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Wang, Yujia, Jinxing Li, Tianze Hu, Meiqiu Dong, Juntian Wu, Xinrui Miao, and Wenli Deng. "V-Shape Molecular Self-Adaption Triggered 2D Self-Assembled Polymorphism by Coadsorption of n-Tetradecane Solvent." Journal of Physical Chemistry C 123, no. 45 (October 23, 2019): 27643–50. http://dx.doi.org/10.1021/acs.jpcc.9b08441.

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Singh, Jayant Kumar, and Garima Kapur. "Design of Self-Adaptive Weighted Neuron model using Floating Gate Technology." WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL 17 (September 16, 2022): 392–400. http://dx.doi.org/10.37394/23203.2022.17.43.

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The paper presents an analog circuit solution for implementing models of synapses with short-term adaption, derives an analytical solution (Floating gate charge as weights) for spiking input signals, and presents simulation results using a 45nm CMOS process using floating gate technology. The circuit is suitable for integration in large arrays of integrate-and-fire neurons and thus, can be used for evaluating computational roles of short-term adaption at the network level. Proposed floating gate p channel MOSFET (FGPMOS) can self-adapt, learn and store data with help of external voltages highly precise non-volatile and stable programming of weights (training) after fabrication of circuit have been performed. On application of feedback in the circuit, short-term self-adaption with spiking input signal has been observed. The model can also demonstrate homeostatic intrinsic plasticity, spike-based algorithms, and LMS algorithms. The model has a 4.5µV/℃ temperature coefficient, 0.675µW power consumption, and consumes a chip area of about 130×90 nm2. The model is compact, low power, and stable. The proposed circuit has been applied to design a cell membrane (bio-sensor CMOS-based circuit) depicting the effect of Sodium (NA) and Potassium (K) on synaptic action. With the help of the Na and K feedback circuit, effects of polarization and depolarization on synapse output have been demonstrated and thus depict spike-timing-dependent plasticity. The work can be extended to design a complete neural architecture, an array of such complete neural cells, in turn, can design devices for assistive technology or human-like machines.

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Becker, Sebastian, Wiebke Hinterlang, Tim Eschert, and Catherine Disselhorst-Klug. "Controlling of a ROS-based robotic system in accordance to the assist-as-needed principle in end-effector based rehabilitation systems." Current Directions in Biomedical Engineering 4, no. 1 (September 1, 2018): 199–202. http://dx.doi.org/10.1515/cdbme-2018-0049.

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AbstractStroke is one of the most frequent diseases among the elderly and often leads to an ongoing failure of functions in the central nervous system. Due to the plasticity of the brain affected may regain lost motor function by repetitive training. Robotic devices can be an approach to accelerate the rehabilitation process by maximizing patients’ training intensity. End-effector based robotic systems are particularly suitable for this purpose and often an advantage over exoskeletons since the proximal part of the upper limb remains under the control of the patient. Furthermore, the integration of the assistas- needed principle (AAN) into these devices enables individualized, adaptable robotic support to patients during therapy. In this study an end-effector based robotic rehabilitation device based on the Robot Operating System (ROS) framework is introduced. The system allows patients to perform 3- dimensional movements without a therapist’s assistance. With regard to the AAN, focus was based on impedance control and an additional real-time adaption of the impedance control parameters by using a feedback loop. 10 healthy subjects took part in this study to evaluate the overall concept with regard to usability and quality of the supported movement. Hence, the three most promising adaption models of AAN (without adaption, adaption according to position and time, adaption according to velocity) under three different levels of movement support (0%, 50%, 100%) were investigated by administering a self-designed questionnaire and the robot kinematics. The results showed no significant differences between the three different adaption models of AAN. However, the subjective assessment of the movements was in keeping with robot kinematics and the control approaches as well as the overall system have experienced remarkable support.

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Su, Yueliang, and Nan Lu. "Supply Chain Finance Credit Risk Evaluation Method Based on Self-Adaption Weight." Journal of Computer and Communications 03, no. 07 (2015): 13–21. http://dx.doi.org/10.4236/jcc.2015.37002.

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Chen, Meng Yuan, and Chang An Zhu. "Covariance intersection multirobot object tracking algorithm based on self-adaption SR-CKF." Journal of Computational Methods in Sciences and Engineering 18, no. 2 (May 3, 2018): 479–89. http://dx.doi.org/10.3233/jcm-180803.

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Dang, Xiang Ying. "New Fast Image Edge-Detection Algorithm Based on Composite Self-Adaption Predictor." Advanced Materials Research 791-793 (September 2013): 1546–49. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1546.

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Using advantages of gradient adjusted predictor (GAP) and gradient edge detection (GED) predictors of lossless image coding for reference, and the image was cut into four equal parts with the application of Graphics Processor Unit (GPU) parallel technology operation. In four sub-images, the composite self-adaption predictor was employed for predicting error image, threshold classification error image edge and thinning edge. Results showed that with the application of the parallel technology which avoided errors multiply, not only the complexity of the time was reduced significantly, but also the distinct, holistic and detail-rich edge image was obtained.

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Han, Ke, Chenyang Si, Yan Huang, Liang Wang, and Tieniu Tan. "Generalizable Person Re-identification via Self-Supervised Batch Norm Test-Time Adaption." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 1 (June 28, 2022): 817–25. http://dx.doi.org/10.1609/aaai.v36i1.19963.

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In this paper, we investigate the generalization problem of person re-identification (re-id), whose major challenge is the distribution shift on an unseen domain. As an important tool of regularizing the distribution, batch normalization (BN) has been widely used in existing methods. However, they neglect that BN is severely biased to the training domain and inevitably suffers the performance drop if directly generalized without being updated. To tackle this issue, we propose Batch Norm Test-time Adaption (BNTA), a novel re-id framework that applies the self-supervised strategy to update BN parameters adaptively. Specifically, BNTA quickly explores the domain-aware information within unlabeled target data before inference, and accordingly modulates the feature distribution normalized by BN to adapt to the target domain. This is accomplished by two designed self-supervised auxiliary tasks, namely part positioning and part nearest neighbor matching, which help the model mine the domain-aware information with respect to the structure and identity of body parts, respectively. To demonstrate the effectiveness of our method, we conduct extensive experiments on three re-id datasets and confirm the superior performance to the state-of-the-art methods.

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Masten, William G., A. Toy Caldwell-Colbert, and David T. Morse. "Self-Estimates of Adaptors and Innovators on the Kirton Adaption-Innovation Inventory." Psychological Reports 63, no. 2 (October 1988): 587–90. http://dx.doi.org/10.2466/pr0.1988.63.2.587.

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This study examined the relationship between Kirton Adaption-Innovation Inventory total scores and self-estimates of the inventory scores to assess how accurately individuals can predict their adaptor or innovator status. Analysis indicated that 42 of 66 students (26 men, 40 women) classified themselves correctly as either adaptors or innovators, which was significant as were the Pearson correlations between actual and self-estimates of total scores (.52) and also actual scores and self-ratings on a five-point scale (.54). These data indicate many individuals can recognize the adaptive-innovative continuum with reasonable accuracy.

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Wang, Lei. "The Method for RFID Reader Location Based on Self-Adaption Coverage Density." International Journal of Multimedia and Ubiquitous Engineering 11, no. 8 (August 31, 2016): 153–62. http://dx.doi.org/10.14257/ijmue.2016.11.8.17.

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You, Dianlong, Xindong Wu, Limin Shen, Song Deng, Zhen Chen, Chuan Ma, and Qiusheng Lian. "Online Feature Selection for Streaming Features Using Self-Adaption Sliding-Window Sampling." IEEE Access 7 (2019): 16088–100. http://dx.doi.org/10.1109/access.2019.2894121.

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Gatouillat, Arthur, Youakim Badr, and Bertrand Massot. "Smart and safe self‐adaption of connected devices based on discrete controllers." IET Software 13, no. 1 (February 2019): 49–59. http://dx.doi.org/10.1049/iet-sen.2018.5029.

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He, Jingsong. "An experimental study on the self-adaption mechanism used by evolutionary programming." Progress in Natural Science 18, no. 4 (April 2008): 481–86. http://dx.doi.org/10.1016/j.pnsc.2007.11.013.

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Taxt, Henning, Kaveh Niayesh, and Magne Runde. "Self-Blast Current Interruption and Adaption to Medium-Voltage Load Current Switching." IEEE Transactions on Power Delivery 34, no. 6 (December 2019): 2204–10. http://dx.doi.org/10.1109/tpwrd.2018.2890306.

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Vogel, Hannah, Gill Ten Hoor, Enrique Mergelsberg, and Barbara Mullan. "Adaption and Evaluation of a Self-Efficacy Intervention for Parental Feeding Practices." Health Psychology Bulletin 6, no. 1 (October 10, 2022): 1. http://dx.doi.org/10.5334/hpb.38.

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Tseng, Tien-Wen, Tzuoo-Tsair Luo, Chong-Cheng Su, Hui-Huan Hsu, Chen-I. Yang, and Kuang-Lieh Lu. "An unusual cobalt(ii)-based single-walled metal–organic nanotube." CrystEngComm 16, no. 13 (2014): 2626–33. http://dx.doi.org/10.1039/c3ce41952e.

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Self-adaption to the formation of an unusual cobalt(ii)-based single-walled metal–organic nanotube is reported. In addition, a pseudo-merohedral twinning problem encountered in the X-ray diffraction analysis was solved, which significantly improves the crystallographic results.

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Goldsmith, Ronald E. "The Factorial Composition of the Kirton Adaption-Innovation Inventory." Educational and Psychological Measurement 45, no. 2 (July 1985): 245–50. http://dx.doi.org/10.1177/001316448504500206.

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The Kirton Adaption-Innovation Inventory (KAI) was evaluated for its factorial composition, internal consistency, and relationship with self-esteem compared with previous studies. Data was from a random sample of adults ( n = 214) in a southern city. Results of the factor analysis revealed the scale to have high factorial stability across populations. The scale was found to be highly internally consistent, and a positive correlation with the Rosenberg Self-esteem scale was successfully replicated. These findings provide evidence for the construct validity of the scale.

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Wang, Rui, Xiao Qiang Liu, Gang Wang, and Bo Fan Yang. "Infrared Image Preprocessing Based on Top-Hat Transformation and Self-Adaption Threshold Segmentation." Advanced Materials Research 1044-1045 (October 2014): 1452–58. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.1452.

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Infrared targets will render as high gray-scale points in single infrared image because of small size and long distance between targets and space-based infrared sensor,which is similar to noisy points. In order to distinguish targets and noisy points, this paper presents a method of self-adaption threshold segmentation after Top-hat transformation with double structure elements, which could effectively restrain background and noisy points.

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Strimbu, N., M. O’Connell, F. Nearchou, and C. Ó’Sé. "Adaption and psychometric evaluation of the Presentation of Online Self Scale in adults." Computers in Human Behavior Reports 3 (January 2021): 100073. http://dx.doi.org/10.1016/j.chbr.2021.100073.

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Yang, Wenchao, Wenfeng Li, Yulian Cao, Yun Luo, and Lijun He. "Real-Time Production and Logistics Self-Adaption Scheduling Based on Information Entropy Theory." Sensors 20, no. 16 (August 12, 2020): 4507. http://dx.doi.org/10.3390/s20164507.

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In recent years, the individualized demand of customers brings small batches and diversification of orders towards enterprises. The application of enabling technologies in the factory, such as the industrial Internet of things (IIoT) and cloud manufacturing (CMfg), enhances the ability of customer requirement automatic elicitation and the manufacturing process control. The job shop scheduling problem with a random job arrival time dramatically increases the difficulty in process management. Thus, how to collaboratively schedule the production and logistics resources in the shop floor is very challenging, and it has a fundamental and practical significance of achieving the competitiveness for an enterprise. To address this issue, the real-time model of production and logistics resources is built firstly. Then, the task entropy model is built based on the task information. Finally, the real-time self-adaption collaboration of production and logistics resources is realized. The proposed algorithm is carried out based on a practical case to evaluate its effectiveness. Experimental results show that our proposed algorithm outperforms three existing algorithms.

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