scholarly journals Self-adaptation of e-learning software based on observing the information environment

2019 ◽  
Vol 23 (3) ◽  
pp. 33-41
Author(s):  
A. M. Bershadskiy ◽  
A. S. Bozhday ◽  
A. A. Gudkov ◽  
Yu. I. Evseeva
Keyword(s):  
Life Cycle ◽  
Personal Characteristics ◽  
The Self ◽  
Universal Method ◽  
User Reviews ◽  
Applied Software ◽  
Adaptive Structure ◽  
E Learning ◽  
Self Adaptation ◽  
Self Adaptive

Purpose of the research. The purpose of the study is to develop a new universal method of self-adaptation of applied software systems used in the field of e-learning (E-Learning). Self-adaptation refers to the ability of a software application to change its own structure and behavior depending on external circumstances, which include, for example, the trainee’s personal characteristics, which is especially important for systems used in education. Such self-adaptive behavior should be sufficiently flexible and not be reduced to the choice of one of the many behavioral options predetermined by the developer (such behaviors should also be generated throughout the system’s life cycle). Materials and methods. The method being developed uses an array of user reviews about software as initial data, for the subsequent processing of which the methods of latent-semantic and distributive-statistical analysis are used. To represent the generalized self-adaptive structure of the system, models of characteristics are used. The configuration of the model of characteristics is a separate state of the self-adaptive system, they are generated automatically during the program’s life cycle as follows: based on an array of user reviews, a semantic network of basic concepts characterizing the program is formed, which is further compared with the original model of characteristics and personal characteristics of the user who left review. Determining a user’s personal characteristics can be done in a variety of ways (for example, using psychological testing or by analyzing learning outcomes). Results. The main results of the study are: 1) universal principles of building a self-adaptive e-learning system 2) a way of presenting the self-adaptive structure of a software system in the form of a characteristics model relevant to a wide range of software 3) a new universal method of self-adapting applied software used in E-Learning the main differences of which from the existing ones are, firstly, in using the opinions of the users of the system themselves to adjust with self-adaptive behavior, secondly, in the possibility of generating new states of the system throughout the entire period of its operation. Conclusion. The developed theoretical apparatus makes it possible to significantly individualize the learning process, take into account the opinions and inclinations of the students themselves, reduce the role of the pedagogical worker in the assessment of knowledge and skills. In addition to problems of a purely educational nature, the application of the method also allows you to successfully resolve technical issues related to the development of software in general. Such problems include, for example, the problem of software complexity, when a program that shows good results in some operating conditions shows insufficient performance in others. Also a serious task, which the proposed method can cope with, is the task of increasing the life cycle of a software system. 

A Comparison Study of Self-Adaptation in Evolution Strategies and Real-Coded Genetic Algorithms

2001 ◽  
Vol 9 (2) ◽  
pp. 223-241 ◽  
Author(s):  
Hajime Kita
Keyword(s):  
Genetic Algorithms ◽  
The Self ◽  
Evolution Strategies ◽  
Search Spaces ◽  
Adaptive Parameters ◽  
Decision Variables ◽  
Adaptive Mechanisms ◽  
Self Adaptation ◽  
Real Coded Genetic Algorithms ◽  
Self Adaptive

This paper discusses the self-adaptive mechanisms of evolution strategies (ES) and real-coded genetic algorithms (RCGA) for optimization in continuous search spaces. For multi-membered evolution strategies, a self-adaptive mechanism of mutation parameters has been proposed by Schwefel. It introduces parameters such as standard deviations of the normal distribution for mutation into the genetic code and lets them evolve by selection as well as the decision variables. In the RCGA, crossover or recombination is used mainly for search. It utilizes information on several individuals to generate novel search points, and therefore, it can generate offspring adaptively according to the distribution of parents without any adaptive parameters. The present paper discusses characteristics of these two self-adaptive mechanisms through numerical experiments. The self-adaptive characteristics such as translation, enlargement, focusing, and directing of the distribution of children generated by the ES and the RCGA are examined through experiments.

The Application of Self-Adaptive Design in Improvement of the Restoring Strand Operation Mechanism

2013 ◽  
Vol 579-580 ◽  
pp. 420-424
Author(s):  
Zhang Shi Liu
Keyword(s):  
Mechanism Design ◽  
Transmission Lines ◽  
Adaptive Design ◽  
Kinematic Chain ◽  
The Self ◽  
Common Mechanism ◽  
Universal Method ◽  
Adaptive Mechanism ◽  
Operation Mechanism ◽  
Self Adaptive

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.

scholarly journals Self-Adaptive Genetic Algorithms with Simulated Binary Crossover

2001 ◽  
Vol 9 (2) ◽  
pp. 197-221 ◽  
Author(s):  
Kalyanmoy Deb ◽  
Hans-Georg Beyer
Keyword(s):  
Genetic Algorithms ◽  
Essential Feature ◽  
Function Optimization ◽  
Real Parameter ◽  
The Self ◽  
Test Problems ◽  
Adaptive Genetic Algorithms ◽  
Working Principle ◽  
Self Adaptation ◽  
Self Adaptive

Self-adaptation is an essential feature of natural evolution. However, in the context of function optimization, self-adaptation features of evolutionary search algorithms have been explored mainly with evolution strategy (ES) and evolutionary programming (EP). In this paper, we demonstrate the self-adaptive feature of real-parameter genetic algorithms (GAs) using a simulated binary crossover (SBX) operator and without any mutation operator. The connection between the working of self-adaptive ESs and real-parameter GAs with the SBX operator is also discussed. Thereafter, the self-adaptive behavior of real-parameter GAs is demonstrated on a number of test problems commonly used in the ES literature. The remarkable similarity in the working principle of real-parameter GAs and self-adaptive ESs shown in this study suggests the need for emphasizing further studies on self-adaptive GAs.

Self-adaptive grasp analysis of a novel under-actuated cable-truss robotic finger

2018 ◽  
Vol 233 (6) ◽  
pp. 2121-2134 ◽  
Author(s):  
Shangling Qiao ◽  
Hongwei Guo ◽  
Rongqiang Liu ◽  
Yong Huang ◽  
Zongquan Deng
Keyword(s):  
Virtual Work ◽  
Angular Displacement ◽  
The Self ◽  
Linkage Mechanism ◽  
Distal Phalange ◽  
Grasping Forces ◽  
Grasping Force ◽  
Self Adaptation ◽  
Generalized Coordinate ◽  
Self Adaptive

This paper presents the self-adaptive grasp of a novel cable-driven finger, which is an underactuated finger comprising cable-truss units. The underactuated cable-truss finger uses tendon-pulley transmission and parallel four-linkage mechanism to realize grasps. The working principle of the underactuated cable-truss finger and the self-adaptation at the grasp-closing stage are introduced. A self-adaptive grasping model is constructed to analyze the self-adaptation, and a new analysis method that considers the position and posture of grasping point in distal phalange is proposed. A new generalized coordinate, which directly shows the contacting position and the relative angular displacement in the distal phalange, is established. The expression of general static grasping force is established by using the virtual work principle, which reveals the relationship among the driving force, the equivalent torques on joints and the grasping forces. The workspace of the underactuated cable-truss finger and distributions of grasping force in new generalized coordinate are assessed through numerical analysis. The balance conditions of the self-adaptive grasp and the corresponding statuses are theoretically illustrated. Valid and adequate self-adaptive grasping experiments are conducted to verify the accuracy of self-adaptive grasping analysis.

NEUROTIC SYMPTOMATICS RELATED TO PERSONAL CHARACTERISTICS IN YOUTH

2019 ◽  
pp. 2014-2019
Author(s):  
Milen Dimov
Keyword(s):  
Personal Characteristics ◽  
The Self ◽  
The Other ◽  
Social Responsiveness ◽  
Training Process ◽  
Self Assessment ◽  
School Year ◽  
Real Behavior ◽  
Low Levels ◽  
The Ideal

The present study traces the dynamics of personal characteristics in youth and the manifested neurotic symptoms in the training process. These facts are the reason for the low levels of school results in the context of the existing theoretical statements of the problem and the empirical research conducted among the trained teenagers. We suggest that the indicators of neurotic symptomatology in youth – aggression, anxiety, and neuroticism, are the most demonstrated, compared to the other studied indicators of neurotic symptomatology. Studies have proved that there is a difference in the act of neurotic symptoms when tested in different situations, both in terms of expression and content. At the beginning of the school year, neurotic symptoms, more demonstrated in some aspects of aggressiveness, while at the end of school year, psychotism is more demonstrated. The presented summarized results indicate that at the beginning of the school year, neurotic symptoms are strongly associated with aggression. There is a tendency towards a lower level of social responsiveness, both in the self-assessment of real behavior and in the ideal “I”-image of students in the last year of their studies. The neurotic symptomatology, more demonstrated due to specific conditions in the life of young people and in relation to the characteristics of age.

APLIKASI MULTIMEDIA PEMBELAJARAN PENDIDIKAN LINGKUNGAN HIDUP TENTANG BENCANA ALAM

2017 ◽  
Vol 15 (1) ◽  
Author(s):  
Restu Yoga Setia ◽  
Deasy Permatasari ◽  
Wahyuni Yuni
Keyword(s):  
Life Cycle ◽  
System Development ◽  
Development Life Cycle ◽  
E Learning

Aplikasi Multimedia pembelajaran sebagai salah satu media yang dapatdigunakan dalam penyampaian materi di sekolah, memberikan dampak positifbagi Guru dan Siswa dalam hal pemanfaatan perangkat digitalisasi danTeknologi Informasi di era Globalisasi saat ini. Hal ini termasuk pula memanfaatkan E-Learning yang pada saat ini merupakan media komunikatif dalam Proses Belajar Mengajar (PBM). Mata pelajaran Pendidikan LingkunganHidup (PLH) di tingkat Sekolah Menengah Pertama (SMP), yang salah satunyamempelajari sub bab materi tentang bencana alam. Dalam Proses PBM disekolah khususnya tingkat Menengah Pertama, rata-rata secara umum Gurusebagai penyampai materi masih menggunakan metode pembelajaran danmedia yang bersifat konvensional, yaitu hanya dengan memanfatkan metodeinteraksi langsung dengan siswa dan media buku-buku pelajaran tanpa ataubahkan tidak sama sekali memanfaatkan perangkat Teknologi Informasi (IT).Hal tersebut menyebabkan siswa harus menalar kronologis kejadian bencanaalam yang dirasakan agak menyulitkan baik bagi pihak Guru maupun Siswadalam memahami materi pelajaran karena akan lebih baik apabila terdapatmedia yang dapat memperlihatkan dengan jelas tentang fenomena bencanaalam dengan menggunakan aplikasi multimedia sebagai media yang dapatmembantu secara visualisasi dalam bentuk video animasi, sehingga materiakan lebih mudah dipahami dan ditalar oleh siswa. Metode pengembangansistem yang digunakan adalah model SDLC (System Development Life Cycle)atau Waterfall. Karena model ini bertujuan menghasilkan sistem dengankualitas yang tinggi, memenuhi harapan penggunanya, tepat dalam waktu danbiaya, bekerja dengan efektif dan efisien dalam infrastruktur TeknologiInformasi yang ada atau yang direncanakan, serta murah dalam perawatan danpengembangan lebih lanjut. Berdasarkan permasalahan diatas, maka dibuatlahsebuah “Aplikasi Multimedia Pembelajaran Pendidikan Lingkungan HidupTentang Bencana Alam”. Aplikasi ini diharapkan dapat membantu siswa dalammempelajari materi Pendidikan Lingkungan Hidup tentang bencana alamdengan menonjolkan objek gambar, suara, animasi video, animasi yangmenarik dan interaktif yang diharapkan akan dapat berfungsi dalam membantudalam PBM.

The Fractal Nature of the Development of the Self

1992 ◽  
Vol 71 (3_suppl) ◽  
pp. 1043-1063 ◽  
Author(s):  
Michael R. Bütz
Keyword(s):  
Life Cycle ◽  
Chaos Theory ◽  
Analytical Psychology ◽  
The Self ◽  
Theory Building ◽  
Fractal Nature

This paper provides a discussion of the life cycle using a framework constructed from ideas in chaos theory. Building upon psychodynamic ideas from Freud, Jung, and Erikson, the integration of the Self is discussed from the viewpoint of Analytical Psychology. It is proposed that throughout our lives we encounter crisis points that fractionate the ego and necessitate use of more complex and adaptive psychic structures to contain or handle the seemingly disparate qualities that arise. We may say that eventually one aspires to realize Analytical Psychology's goal of integrating the superior and the inferior functions of the psyche into a cohesive Self. Jung seemed to state that the Self could never be attained, but it is argued in this paper that a form of transitory self may be realized periodically during the course of the life cycle.

scholarly journals Decomposition of Vibration Signals into Deterministic and Nondeterministic Components and its Capabilities of Fault Detection and Identification

2009 ◽  
Vol 19 (2) ◽  
pp. 327-335 ◽  
Author(s):  
Tomasz Barszcz
Keyword(s):  
Fault Detection ◽  
Adaptive Filter ◽  
Complex Structure ◽  
Reference Signal ◽  
The Self ◽  
Noise Component ◽  
Vibration Signals ◽  
Detection And Identification ◽  
Fault Detection And Identification ◽  
Self Adaptive

Decomposition of Vibration Signals into Deterministic and Nondeterministic Components and its Capabilities of Fault Detection and IdentificationThe paper investigates the possibility of decomposing vibration signals into deterministic and nondeterministic parts, based on the Wold theorem. A short description of the theory of adaptive filters is presented. When an adaptive filter uses the delayed version of the input signal as the reference signal, it is possible to divide the signal into a deterministic (gear and shaft related) part and a nondeterministic (noise and rolling bearings) part. The idea of the self-adaptive filter (in the literature referred to as SANC or ALE) is presented and its most important features are discussed. The flowchart of the Matlab-based SANC algorithm is also presented. In practice, bearing fault signals are in fact nondeterministic components, due to a little jitter in their fundamental period. This phenomenon is illustrated using a simple example. The paper proposes a simulation of a signal containing deterministic and nondeterministic components. The self-adaptive filter is then applied—first to the simulated data. Next, the filter is applied to a real vibration signal from a wind turbine with an outer race fault. The necessity of resampling the real signal is discussed. The signal from an actual source has a more complex structure and contains a significant noise component, which requires additional demodulation of the decomposed signal. For both types of signals the proposed SANC filter shows a very good ability to decompose the signal.

A case for the self-adaptation of activation functions in FFANNs

2004 ◽  
Vol 56 ◽  
pp. 447-454 ◽  
Author(s):  
Pravin Chandra ◽  
Yogesh Singh
Keyword(s):  
The Self ◽  
Activation Functions ◽  
Self Adaptation
Sign in / Sign up

Export Citation Format

Share Document