scholarly journals Large-scale cognitive model design using the Nengo neural simulator

2016 ◽  
Vol 17 ◽  
pp. 86-100 ◽  
Author(s):  
Sugandha Sharma ◽  
Sean Aubin ◽  
Chris Eliasmith
Keyword(s):  
Large Scale ◽  
Cognitive Model ◽  
Model Design

Preliminary Analysis of Sustainable Design Management for LSPB

2012 ◽  
Vol 472-475 ◽  
pp. 2385-2388
Author(s):  
Qian Shi ◽  
Rui Huang
Keyword(s):  
Interface Design ◽  
Preliminary Analysis ◽  
Large Scale ◽  
Development Theory ◽  
Design Management ◽  
Model Design ◽  
Design Environment ◽  
Public Building ◽  
Organization Model ◽  
Complex Design

Large-scale public building (LSPB) is different from general industrial and civil construction, so that some special management methods are attained to handling the complex design environment based on sustainable development theory. Including organization model, design checklist and some interface design management principles are raised in this analysis.

Design of HTS Magnetically Controlled Saturable Reactor

2013 ◽  
Vol 380-384 ◽  
pp. 2982-2985
Author(s):  
Hong Da Dong
Keyword(s):  
High Temperature ◽  
High Voltage ◽  
Large Scale ◽  
Reactive Power ◽  
Magnetic Circuit ◽  
Reactive Power Compensation ◽  
Model Design ◽  
Power Capacity ◽  
Wide Range ◽  
Small Capacity

There are many problems for traditional reactive power compensation devices to be applied in the grid, such as discontinuous adjustment, small capacity, complex control and harmonics. This paper aims to study a high temperature superconducting magnetically controlled saturable reactor (HTS MCSR), which has a wide range of stepless adjustment. It has a good application prospect in large scale reactive power compensation devices. Based on research of theory and core structure, a shaped-cylinder core is proposed. By means of calculation of saturable reactor and analysis of algebraic and magnetic circuit model, design of 220V HTS MCSR is finished. Results of normal conductive reactor prototype and simulations verify that the range of inductance adjustment is very wide. Furthermore, conceptual design of 35kV HTS MCSR confirms its reactive power capacity is so large, therefore, it is suitable for high voltage power system.

scholarly journals Aha! moments correspond to meta-cognitive prediction errors

2021 ◽  
Author(s):  
Rachit Dubey ◽  
Mark K Ho ◽  
Hermish Mehta ◽  
Tom Griffiths
Keyword(s):  
Prediction Error ◽  
Large Scale ◽  
Cognitive Model ◽  
Causal Link ◽  
Prediction Errors ◽  
Strongly Correlated ◽  
Positive Error ◽  
Cognitive Error ◽  
Time Prediction ◽  
Reward Prediction

Psychologists have long been fascinated with understanding the nature of Aha! moments, moments when we transition from not knowing to suddenly realizing the solution to a problem. In this work, we present a theoretical framework that explains when and why we experience Aha! moments. Our theory posits that during problem-solving, in addition to solving the problem, people also maintain a meta-cognitive model of their ability to solve the problem as well as a prediction about the time it would take them to solve that problem. Aha! moments arise when we experience a positive error in this meta-cognitive prediction, i.e. when we solve a problem much faster than we expected to solve it. We posit that this meta-cognitive error is analogous to a positive reward prediction error thereby explaining why we feel so good after an Aha! moment. A large-scale pre-registered experiment on anagram solving supports this theory, showing that people's time prediction errors are strongly correlated with their ratings of an Aha! experience while solving anagrams. A second experiment provides further evidence to our theory by demonstrating a causal link between time prediction errors and the Aha! experience. These results highlight the importance of meta-cognitive prediction errors and deepen our understanding of human meta-reasoning.

The Model Design of Mobile Resource Scheduling in Large Scale Activities

2018 ◽  
Vol 23 (3) ◽  
pp. 382-394
Author(s):  
Cai-Qiu Zhou ◽  
Yu-Wang Yang ◽  
Bei Gong ◽  
Meng-Kun Li ◽  
Jin Li ◽  
...  
Keyword(s):  
Large Scale ◽  
Resource Scheduling ◽  
Model Design

The Small-Scale Distortion Model Design Method for Ultimate Strength Test of Hull Girder

2014 ◽  
Author(s):  
Chenfeng Li ◽  
Huilong Ren ◽  
Donghao Xu ◽  
Zeng Ji
Keyword(s):  
Large Scale ◽  
Design Method ◽  
Scale Model ◽  
Small Scale ◽  
Model Design ◽  
Hull Girder ◽  
Distortion Model ◽  
Section Modulus ◽  
Large Scale Model ◽  
Ultimate Moment

The objective of this paper is to develop a design method of small-scale distortion model for ultimate bearing capacity test. The ultimate moment is an important index of ship girder strength. Experimental analyses are regarded as the most straightforward and effective methods to predict ultimate moment of hull girder, especially full-scale and/or large-scale model testing. However, large-scale model test not only requires high loading capacity of test device, but it also costs a lot of human and material resources. Based on the similarity theory and failure mechanism of hull girder under bending, a small-scale distortion model design method is presented in this paper. In which, the transverse section is divided into several parts, such as main deck, middle deck, bottom and so on. Then, two similar criterions are required to follow. There are section modulus of each part and critical stress of main stiffened plats. The similar section modulus ensures a similar stress distribution of transverse section between model and real structures under bending; the similar critical stress ensures the same failure modes of stiffened plates. Based on this method, a real vessel is taken as example to design its small-scale (1/25 scale) distortion model. The simulating results indicate that this model design method is precise and reliable.

scholarly journals Discrete-Element bonded-particle Sea Ice model DESIgn, version 1.3a – model description and implementation

2016 ◽  
Vol 9 (3) ◽  
pp. 1219-1241 ◽  
Author(s):  
Agnieszka Herman
Keyword(s):  
Sea Ice ◽  
Large Scale ◽  
Discrete Element ◽  
Sea Surface ◽  
Hertzian Contact ◽  
Model Description ◽  
Model Parameters ◽  
Model Design ◽  
Technical Documentation ◽  
Ice Model

Abstract. This paper presents theoretical foundations, numerical implementation and examples of application of the two-dimensional Discrete-Element bonded-particle Sea Ice model – DESIgn. In the model, sea ice is represented as an assemblage of objects of two types: disk-shaped "grains" and semi-elastic bonds connecting them. Grains move on the sea surface under the influence of forces from the atmosphere and the ocean, as well as interactions with surrounding grains through direct contact (Hertzian contact mechanics) and/or through bonds. The model has an experimental option of taking into account quasi-three-dimensional effects related to the space- and time-varying curvature of the sea surface, thus enabling simulation of ice breaking due to stresses resulting from bending moments associated with surface waves. Examples of the model's application to simple sea ice deformation and breaking problems are presented, with an analysis of the influence of the basic model parameters ("microscopic" properties of grains and bonds) on the large-scale response of the modeled material. The model is written as a toolbox suitable for usage with the open-source numerical library LIGGGHTS. The code, together with full technical documentation and example input files, is freely available with this paper and on the Internet.

scholarly journals Discovering Conceptual Hierarchy Through Explicit and Implicit Cues in Child-Directed Speech

2020 ◽  
Author(s):  
Abdellah Fourtassi ◽  
Kyra Wilson ◽  
Michael C. Frank
Keyword(s):  
Large Scale ◽  
Conceptual Development ◽  
Evaluation Method ◽  
Cognitive Model ◽  
Conceptual Information ◽  
Robust Learning ◽  
Relative Contribution ◽  
Reliable Source ◽  
Conceptual Hierarchy ◽  
Source Of Information

In order for children to understand and reason about the world in a mature fashion, they need to learn that conceptual categories are organized in a hierarchical fashion (e.g., a dog is also an animal). The caregiver linguistic input can play an important role in this learning, and previous studies have documented several cues in parental talk that can help children learn a conceptual hierarchy. However, these previous studies used different datasets and methods which made difficult the systematic comparison of these cues and the study of their relative contribution. Here, we use a large-scale corpus of child-directed speech and a classification-based evaluation method which allowed us to investigate, within the same framework, various cues that varied radically in terms of how explicit the information they offer is. We found the most explicit cues to be too sparse or too noisy to support robust learning (though part of the noise may be due to imperfect operationalization). In contrast, the implicit cues offered, overall, a reliable source of information. Our work confirms the utility of caregiver talk for conveying conceptual information. It provides a stepping stone towards a cognitive model that would use this information in a principled way, possibly leading to testable predictions about children's conceptual development.

scholarly journals IMPROVING THE EXCITEMENT AND THE ACTIVENESS OF KINDERGARTENERS USING "MAJEDA" BASED ON CHILDREN PLAYS

2017 ◽  
Vol 1 (1) ◽  
pp. 1-11
Author(s):  
Wawan Sundawan Suherman ◽  
Panggung Sutapa ◽  
Dapan Dapan
Keyword(s):  
Research And Development ◽  
Large Scale ◽  
Learning Model ◽  
Kindergarten Students ◽  
Small Scale ◽  
Model Design ◽  
Model Based ◽  
Three Stages ◽  
Teaching Learning

This study was aimed at developing Majeda teaching learning model based on children plays in effort to improve the excitement and the activeness of kindergarteners and the guideline of use. The study was research and development of the Borg and Gall model designed in three stages: first, preliminary studies and learning model design; second, small-scale and large-scale pilotage of Majeda; and third, operational try-out of Majeda, the revision of the guideline, and drafting of dissemination plan. The study was conducted in ten kindergartens namely, PKK Widodo, Tunas Muda Kledokan, PKK Temanggal, ABA Klepu, Pedagogia, ABA KKN Pantai Baru, Pembina Galur, ABA Dlaban Pogangan Sentolo, Wonosari 1, and ABA Karangmojo XVII. The finding shows that play-based Majeda is able to increase the excitement and the activeness of the kindergarten students in learning. Therefore, the developed Majeda is accountable to be used in teaching learning processesPENINGKATAN KEGEMBIRAAN DAN KEAKTIFAN SISWA TK DALAM PEMBELAJARAN DENGAN "MAJEDA" BERBASIS DOLANAN ANAKPenelitian ini bertujuan untuk mengembangkan "Model Pembelajaran Majeda Berbasis Dolanan Anak" untuk meningkatkan kegembiraan dan keaktifan siswa TK dan pedoman penggunaannya. Penelitian ini menggunakan pendekatan penelitian dan pengembangan dari Borg dan Gall, dan dirancang dalam tiga tahapan: pertama, studi pendahuluan dan perancangan model pembelajaran; kedua, pengujicobaaan skala kecil dan skala besar Majeda Berbasis Dolanan Anak; dan ketiga, pengujioperasionalan Majeda Berbasis Dolanan Anak, revisi panduan penggunaannya, dan penyusunan rancangan diseminasi Majeda Berbasis Dolanan Anak. Uji lapangan Majeda Berbasis Dolanan Anak diselenggarakan di sepuluh Taman Kanak-Kanak (TK), yaitu TK PKK Widodo, TK Tunas Muda Kledokan, TK PKK Temanggal, TK ABA Klepu, TK Pedagogia, TK ABA KKN Pantai Baru, TKN Pembina Galur, TK ABA Dlaban Pogangan Sentolo, TKN 1 Wonosari, dan TK ABA Karangmojo XVII. Hasil penelitian menunjukkan bahwa Majeda Berbasis Dolanan Anak mampu meningkatkan kegembiraan dan keaktifan siswa TK dalam pembelajaran. Oleh karena itu, Majeda Berbasis Dolanan Anak dianggap tepat digunakan dalam pembelajaran di TK

scholarly journals AMETTA LEARNING MODEL DESIGN (ACTIVE, FUN AND WITHOUT PRESSURE)

2021 ◽  
Vol 27 (2) ◽  
Author(s):  
Yenni Hasnah ◽  
Pirman Ginting ◽  
Ratna Sari Dewi
Keyword(s):  
Data Analysis ◽  
Large Scale ◽  
Field Studies ◽  
Learning Model ◽  
Small Scale ◽  
Model Design ◽  
Brain Gym ◽  
Research Activities ◽  
Learning Success ◽  
Collection Data

This study aims to design a learning model that is active, fun, and without pressure called the AMETTA learning model. Research activities are carried out by applying a mixed research method that combines qualitative and quantitative data analysis with the stages of research activities, including literature studies, field studies, data collection, data analysis, and designing learning models. The results show that the AMETTA learning model design is suitable for use as a learning model to improve learning quality based on <em>experts' feedback</em>. This feasibility is also supported by an increase in the percentage of students' learning success, which is significant between the initial and final tests on small-scale (34.28%) and large-scale (38.47%) trials that this learning model is useful for implementation in learning activities. The AMETTA learning model meant is active, fun, and stress-free learning through the application of varied and exciting learning methods and media and the implementation of the <em>Brain Gym</em> in the learning process.

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