scholarly journals History Erase Effect of Real Memristors

Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 303
Author(s):  
Yiran Shen ◽  
Guangyi Wang
Keyword(s):  
Theoretical Model ◽  
Dynamic Characteristic ◽  
Stable State ◽  
The Self ◽  
Practical Significance ◽  
Initial Value ◽  
Initial State ◽  
Hewlett Packard ◽  
Reset Operation ◽  
Static Power

Different from the static (power-off) nonvolatile property of a memristor, the history erase effect of a memristor is a dynamic characteristic, which means that under the excitation of switching or different signals, the memristor can forget its initial value and reach a unique stable state. The stable state is determined only by the excitation signal and has nothing to do with its initial state. The history erase effect is a desired effect in memristor applications such as memory. It can simplify the complexity of the writing circuit and improve the storage speed. If the memristor’s response depends on the initial state, a state reset operation is required before each writing operation. Therefore, it is of great theoretical and practical significance to judge whether the memristor has a history erase effect. Based on the study of the history erase effect of real memristors, this paper focuses on the history erase effect of a Hewlett-Packard (HP) TiO2 memristor and the Self-Directed Channel (SDC) memristor of Knowm Company. The DC and AC responses of the HP TiO2 memristor are given, and it is pointed out that there is no AC history erase effect. However, considering the parasitic memcapacitance effect, it is found that it has the effect. Based on the theoretical model of the SDC memristor, its history erase properties with and without considering parasitic effects are studied. It should be noted that this study method can be useful for other materials such as Al2O3 and MoS2.

Toward Developing a Conceptual Framework to explain Positive Thinking Based on Islamic View

2016 ◽  
Vol 2 ◽  
Author(s):  
Mohammad Kodayarifard ◽  
Bagher GhobariBonab ◽  
Saeed Akbari ZardKhaneh ◽  
Enayatollah Zamanpour ◽  
Saeid Zandi ◽  
...  
Keyword(s):  
Theoretical Model ◽  
Cultural Values ◽  
Attachment Theory ◽  
Relational Theory ◽  
The Self ◽  
Automatic Thoughts ◽  
Thinking Styles ◽  
Positive Thinking ◽  
Future Expectations ◽  
Islamic View

The aim of the present study was to critically review theories and approaches related to positive thinking and to develop a theoretical model based on Islamic view, which is compatible with cultural values in Iran. To fulfill the stated aim, philosophical and historical foundations of positive thinking in different schools of thought including Leibnitz, Sadra, Kant, Freud and James were critically reviewed. In addition, the theoretical constructs associated with positive thinking including hope, positive automatic thoughts and paradigms of Seligman, Scheier and Carver in this regard were critically studied. Finally, based on the attachment theory of Bowlby, positive thinking was established on and its applications were explained for individuals' thinking styles about past events, present interpretations of events and future expectations. Since the attachment theory is a relational theory, positive thinking in this paradigm was discussed in a way that included individuals' relationship with transcendental being, others, nature, and the self.

scholarly journals Uncertainty Avoidance as a Moderating Factor to the Self-Congruity Concept: The Development of a Conceptual Framework

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402110018
Author(s):  
Shaohua Yang ◽  
Salmi Mohd Isa ◽  
T. Ramayah
Keyword(s):  
Theoretical Model ◽  
Conceptual Framework ◽  
Significant Contribution ◽  
Integrated Model ◽  
Uncertainty Avoidance ◽  
The Self ◽  
Destination Marketing ◽  
Tourism Research ◽  
Revisit Intention ◽  
Conceptual Paper

The aim of this article was to propose a framework based on the theory of self-congruity and on Hofstede’s uncertainty avoidance. The framework was to combine destination personality, self-congruity, uncertainty avoidance, and tourists’ revisit intention. The present conceptual paper proposed an integrated model of self-congruity which incorporates the effect of uncertainty avoidance. More importantly, the uncertainty avoidance was introduced as a moderator between self-congruity and revisit intention. Based on the theoretical framework proposed in this article, the estimated results affirmed the applicability of the theory of self-congruity for tourism research. Moreover, by extending the theoretical model through the incorporation of a variable of uncertainty avoidance in the context of tourism, this article offers a significant contribution to the tourism literature. It is important to understand how the theory of self-congruity applies across a broad cultural spectrum. This article also offers several implications for destination marketing organizations from a practical perspective.

scholarly journals An Initial Value Estimation Method for the Kalman and Extended Kalman Filters in Underground Metal Detection

2019 ◽  
Vol 9 (19) ◽  
pp. 4113 ◽  
Author(s):  
Yadong Wan ◽  
Zhen Wang ◽  
Peng Wang ◽  
Zhiyang Liu ◽  
Na Li ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Estimation Method ◽  
Detection Methods ◽  
Polarizability Tensor ◽  
Filter Method ◽  
Excellent Performance ◽  
Initial Value ◽  
Initial State ◽  
Metal Detection ◽  
Value Estimation

As an underground metal detection technology, the electromagnetic induction (EMI) method is widely used in many cases. Therefore, the EMI detection algorithms with excellent performance are worth studying. One of the EMI detection methods in the underground metal detection is the filter method, which first obtains the secondary magnetic field data and then uses the Kalman filter (KF) and the extended Kalman filter (EKF) to estimate the parameters of metal targets. However, the traditional KF methods used in the underground metal detection have an unsatisfactory performance of the convergence as the algorithms are given a random or a fixed initial value. Here, an initial state estimation algorithm for the underground metal detection is proposed. The initial state of the target’s horizontal position is estimated by the first order central moments of the secondary field strength map. In addition, the initial state of the target’s depth is estimated by the full width at half maximum (FWHM) method. In addition, the initial state of the magnetic polarizability tensor is estimated by the least squares method. Then, these initial states are used as the initial values for KF and EKF. Finally, the position, posture and polarizability of the target are recursively calculated. A simulation platform for the underground metal detection is built in this paper. The simulation results show that the initial value estimation method proposed for the filtering algorithm has an excellent performance in the underground metal detection.

scholarly journals A Cellular Automaton Traffic Flow Model with Advanced Decelerations

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Yingdong Liu
Keyword(s):  
Cellular Automaton ◽  
Traffic Flow ◽  
Flow Model ◽  
Stable State ◽  
Practical Significance ◽  
Fundamental Diagram ◽  
Traffic Flow Model ◽  
Short Time ◽  
Vehicle Deceleration ◽  
Real Traffic

A one-dimensional cellular automaton traffic flow model, which considers the deceleration in advance, is addressed in this paper. The model reflects the situation in the real traffic that drivers usually adjust the current velocity by forecasting its velocities in a short time of future, in order to avoid the sharp deceleration. The fundamental diagram obtained by simulation shows the ability of this model to capture the essential features of traffic flow, for example, synchronized flow, meta-stable state, and phase separation at the high density. Contrasting with the simulation results of the VE model, this model shows a higher maximum flux closer to the measured data, more stability, more efficient dissolving blockage, lower vehicle deceleration, and more reasonable distribution of vehicles. The results indicate that advanced deceleration has an important impact on traffic flow, and this model has some practical significance as the result matching to the actual situation.

Evaluation of invulnerability of scale-free networks using total information of local sub-graph

2018 ◽  
Vol 29 (08) ◽  
pp. 1850075
Author(s):  
Tingyuan Nie ◽  
Xinling Guo ◽  
Mengda Lin ◽  
Kun Zhao
Keyword(s):  
Mutual Information ◽  
Complex Network ◽  
Fundamental Problem ◽  
The Self ◽  
Practical Significance ◽  
Scale Free ◽  
Total Information ◽  
Scale Free Networks ◽  
Influential Nodes ◽  
Definition Of

The quantification for the invulnerability of complex network is a fundamental problem in which identifying influential nodes is of theoretical and practical significance. In this paper, we propose a novel definition of centrality named total information (TC) which derives from a local sub-graph being constructed by a node and its neighbors. The centrality is then defined as the sum of the self-information of the node and the mutual information of its neighbor nodes. We use the proposed centrality to identify the importance of nodes through the evaluation of the invulnerability of scale-free networks. It shows both the efficiency and the effectiveness of the proposed centrality are improved, compared with traditional centralities.

scholarly journals OPTIMIZATION ALGORITHM OF TILTED IMAGE MATCHING BASED ON ADAPTIVE INITIAL OBJECT ASPECT

2020 ◽  
Vol XLIII-B2-2020 ◽  
pp. 547-554
Author(s):  
C. Zhang ◽  
Y. Ge ◽  
Q. Zhang ◽  
B. Guo
Keyword(s):  
Least Squares ◽  
Image Matching ◽  
Normal Vector ◽  
Matching Method ◽  
Initial Value ◽  
Initial State ◽  
Matching Process ◽  
Low Degree ◽  
Verification Process ◽  
Initial Object

Abstract. When adopting the matching method of the least squares image based on object-patch to match tilted images, problems like the low degree of connection points for images with the discontinuity of depth or the discrepancy in elevation or low availability of aerotriangulation points would frequently appear. To address such problems, a tilted-image-matching algorithm based on an adaptive initial object-patch is proposed by this paper. By means of the existing initial values of the interior and exterior orientation elements of the tilted image and the information of object points generated in the matching process, the algorithm takes advantage of the method of multi-patch forward intersection and object variance partition so as to adaptively calculate the elevation of the object-patch and the initial value of the normal vector direction angle. Furthermore, this algorithm aims to solve the problem of difficulties in matching the tilted image with its corresponding points brought about by the low accuracy of the initial value of the tilted image when adopting the matching method of the least squares image based on object-patch to match the tilted image with high discrepancy in elevation. We adopt the algorithm as proposed in this paper and the least squares image matching method in which the initial state of the object-patch is horizontal to the object-patch respectively to conduct the verification process of comparing and matching two groups of tilted images. Finally, the effectiveness of the algorithm as proposed in this paper is verified by the testing results.

Interlaced Attitude Estimation for Spacecraft Using Vector Observations

2021 ◽  
Vol 01 (03) ◽  
Author(s):  
Lubin Chang
Keyword(s):  
Prior Information ◽  
State Of The Art ◽  
Estimation Method ◽  
Attitude Estimation ◽  
The Body ◽  
Body Frame ◽  
Initial Value ◽  
Initial State ◽  
Initial Errors ◽  
Initial Attitude

This paper proposes an interlaced attitude estimation method for spacecraft using vector observations, which can simultaneously estimate the constant attitude at the very start and the attitude of the body frame relative to its initial state. The arbitrary initial attitude, described by constant attitude at the very start, is determined using quaternion estimator which requires no prior information. The multiplicative extended Kalman filter (EKF) is competent for estimating the attitude of the body frame relative to its initial state since the initial value of this attitude is exactly known. The simulation results show that the proposed algorithms could achieve better performance compared with the state-of-the-art algorithms even with extreme large initial errors. Meanwhile, the computational burden is also much less than that of the advanced nonlinear attitude estimators.

A micromechanistic model of the combustion synthesis process: Part II. Numerical simulation

1994 ◽  
Vol 9 (10) ◽  
pp. 2605-2619 ◽  
Author(s):  
Yangsheng Zhang ◽  
Gregory C. Stangle
Keyword(s):  
Theoretical Model ◽  
Combustion Synthesis ◽  
Quantitative Description ◽  
Computer Experiments ◽  
The Self ◽  
Synthesis Process ◽  
Energy Redistribution ◽  
Precise Control ◽  
Physical And Chemical ◽  
Proper Balance

A series of computer experiments was conducted for the self-propagating combustion synthesis process in the Nb-C system, based on the general theoretical model that was developed previously.1 A detailed and quantitative description was given for the various physical and chemical processes that take place during the combustion synthesis process. The results are presented at various length scales in order to provide an insight into understanding the mechanisms that are responsible for the self-propagating behavior. It was shown that a fundamental understanding and precise control of the process require a strong emphasis on the joint contributions of the rates of the various mass and energy redistribution processes that occur during the combustion synthesis process. A proper balance of each of the elementary process rates must be achieved to give rise to self-propagating behavior. This paper illustrates some of the capabilities of the general theoretical model in quantitatively describing the self-propagating combustion synthesis process.

Making High Committed Workplaces by Strong Organizational Values

2018 ◽  
Vol 24 (2) ◽  
pp. 127-137
Author(s):  
Zoltán Krajcsák
Keyword(s):  
Theoretical Model ◽  
Affective Commitment ◽  
Self Esteem ◽  
Organizational Values ◽  
The Self ◽  
Motivational Strategies ◽  
Group Level ◽  
Value System ◽  
Self Evaluation ◽  
High Level

Organizational values determine the behaviour and norms expected in the organization. The more similar the attitude, the way of thinking and the value system among organizational members the stronger the culture is. The characteristics of personality can be well modelled with the concept of self-evaluation. The purpose of this article is to create a theoretical framework that reveals the relationships between self-evaluation dimensions, organizational values and employees’ commitment dimensions. Based on the results, affective commitment is supported by a high level of self-esteem and self-efficacy through the organizational values such as collaboration, trust, affiliation, achievement, autonomy, competition and growth. In contrast, professional commitment is supported by a high level of locus of control and emotional stability, through the organizational values such as routinization, attention to details, formalization, support, communication and consistency. The conclusions of the theoretical model can be used to determine effective motivational strategies for groups and organizations with strong cultures, as the results show that motivational tools used at group level can be successful as well, depending on the self-evaluation profiles.

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